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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cb5bc831fa8044e884fd9580ba3c3a2a5498174b | 2,315 | py | Python | example.py | sumitsj/workflow-core | 0e19beb744778e579d310d8933b7e195ad7d8c58 | [
"MIT"
] | null | null | null | example.py | sumitsj/workflow-core | 0e19beb744778e579d310d8933b7e195ad7d8c58 | [
"MIT"
] | null | null | null | example.py | sumitsj/workflow-core | 0e19beb744778e579d310d8933b7e195ad7d8c58 | [
"MIT"
] | null | null | null | from workflow.job import Job
from workflow.status import Status
from workflow.process import Process
job = Job(id=1, name="test", process_list=["Process-A", "Process-B", "Process-C"])
print(job.processes[0].name, job.processes[0].status)
print(job.processes[1].name, job.processes[1].status)
job.start()
print(job.processes[0].name, job.processes[0].status)
print(job.processes[1].name, job.processes[1].status)
job.update_job()
print(job.processes[0].name, job.processes[0].status)
print(job.processes[1].name, job.processes[1].status)
job.update_job()
print(job.processes[0].name, job.processes[0].status)
print(job.processes[1].name, job.processes[1].status)
job.update_job()
print(job.processes[0].name, job.processes[0].status)
print(job.processes[1].name, job.processes[1].status)
print(job.processes[2].name, job.processes[2].status)
job.update_job()
print(job.processes[0].name, job.processes[0].status)
print(job.processes[1].name, job.processes[1].status)
print(job.processes[2].name, job.processes[2].status)
job.update_job()
print(job.processes[0].name, job.processes[0].status)
print(job.processes[1].name, job.processes[1].status)
print(job.processes[2].name, job.processes[2].status)
job.update_job()
print(job.processes[0].name, job.processes[0].status)
print(job.processes[1].name, job.processes[1].status)
print(job.processes[2].name, job.processes[2].status)
job.update_job()
print(job.processes[0].name, job.processes[0].status)
print(job.processes[1].name, job.processes[1].status)
print(job.processes[2].name, job.processes[2].status)
job.put_on_hold()
print(job.processes[0].name, job.processes[0].status)
print(job.processes[1].name, job.processes[1].status)
print(job.processes[2].name, job.processes[2].status)
job.resume()
print(job.processes[0].name, job.processes[0].status)
print(job.processes[1].name, job.processes[1].status)
print(job.processes[2].name, job.processes[2].status)
job.update_job()
print(job.processes[0].name, job.processes[0].status)
print(job.processes[1].name, job.processes[1].status)
print(job.processes[2].name, job.processes[2].status)
print("********JSON Representation**********")
job_string = job.to_json()
print(job_string)
print(type(job_string))
print("********Parse JSON**********")
job = Job.parse(job_string)
print(type(job))
print(job.to_json())
| 38.583333 | 82 | 0.74514 | 379 | 2,315 | 4.506596 | 0.079156 | 0.449649 | 0.318501 | 0.269321 | 0.854215 | 0.829625 | 0.829625 | 0.829625 | 0.829625 | 0.829625 | 0 | 0.029505 | 0.04838 | 2,315 | 59 | 83 | 39.237288 | 0.745801 | 0 | 0 | 0.727273 | 0 | 0 | 0.041469 | 0.010367 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.054545 | 0 | 0.054545 | 0.690909 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 11 |
cbbf29133a1b28c74ac870af01eab7cacc988061 | 244 | py | Python | django_rdkit/models/__init__.py | paconius/django-rdkit | 9af9545afaad7884eecdf76ab8311af35f82ece4 | [
"BSD-3-Clause"
] | null | null | null | django_rdkit/models/__init__.py | paconius/django-rdkit | 9af9545afaad7884eecdf76ab8311af35f82ece4 | [
"BSD-3-Clause"
] | null | null | null | django_rdkit/models/__init__.py | paconius/django-rdkit | 9af9545afaad7884eecdf76ab8311af35f82ece4 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
from django.db.models import *
# Chem aggregate functions
# future -> from django_rdkit.models.aggregates import *
from django_rdkit.models.fields import *
from django_rdkit.models.functions import *
| 24.4 | 57 | 0.807377 | 32 | 244 | 5.90625 | 0.4375 | 0.21164 | 0.238095 | 0.333333 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.127049 | 244 | 9 | 58 | 27.111111 | 0.887324 | 0.32377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
cbe18da20e86764183219654512b37a58335d84b | 2,712 | py | Python | problems/test_ic_10_bst_2nd_largest.py | gregdferrell/algo | 974ae25b028d49bcb7ded6655a7e11dcf6aa221d | [
"MIT"
] | null | null | null | problems/test_ic_10_bst_2nd_largest.py | gregdferrell/algo | 974ae25b028d49bcb7ded6655a7e11dcf6aa221d | [
"MIT"
] | null | null | null | problems/test_ic_10_bst_2nd_largest.py | gregdferrell/algo | 974ae25b028d49bcb7ded6655a7e11dcf6aa221d | [
"MIT"
] | null | null | null | import pytest
from .ic_10_bst_2nd_largest import find_second_largest_item_bst, find_second_largest_item_bst_no_parent
from .problem_solve_util import BinaryTreeNode
def test_find_second_largest_item_bst_not_enough_items():
root_node = BinaryTreeNode(10, None)
with pytest.raises(ValueError) as e:
find_second_largest_item_bst(root_node)
def test_find_second_largest_item_bst_traverse_right_no_left():
root_node = BinaryTreeNode(10, None)
new_node = root_node.insert_right(11)
new_node = new_node.insert_right(12)
node_found = find_second_largest_item_bst(root_node)
assert 11 == node_found.value
def test_find_second_largest_item_bst_traverse_right_left_subtree():
root_node = BinaryTreeNode(10, None)
new_node = root_node.insert_right(11)
new_node = new_node.insert_right(12)
new_node = new_node.insert_right(20)
new_node = new_node.insert_left(15)
new_node.insert_left(14)
new_node = new_node.insert_right(16)
new_node = new_node.insert_right(17)
new_node = new_node.insert_right(18)
new_node = new_node.insert_right(19)
node_found = find_second_largest_item_bst(root_node)
assert 19 == node_found.value
def test_find_second_largest_item_bst_traverse_left_subtree():
root_node = BinaryTreeNode(10, None)
new_node = root_node.insert_left(5)
new_node = new_node.insert_right(6)
node_found = find_second_largest_item_bst(root_node)
assert 6 == node_found.value
def test_find_second_largest_item_bst_no_parent_not_enough_items():
root_node = BinaryTreeNode(10, None)
with pytest.raises(ValueError) as e:
find_second_largest_item_bst_no_parent(root_node)
def test_find_second_largest_item_bst_no_parent_traverse_right_no_left():
root_node = BinaryTreeNode(10, None)
new_node = root_node.insert_right(11)
new_node = new_node.insert_right(12)
node_found = find_second_largest_item_bst_no_parent(root_node)
assert 11 == node_found.value
def test_find_second_largest_item_bst_no_parent_traverse_right_left_subtree():
root_node = BinaryTreeNode(10, None)
new_node = root_node.insert_right(11)
new_node = new_node.insert_right(12)
new_node = new_node.insert_right(20)
new_node = new_node.insert_left(15)
new_node.insert_left(14)
new_node = new_node.insert_right(16)
new_node = new_node.insert_right(17)
new_node = new_node.insert_right(18)
new_node = new_node.insert_right(19)
node_found = find_second_largest_item_bst_no_parent(root_node)
assert 19 == node_found.value
def test_find_second_largest_item_bst_no_parent_traverse_left_subtree():
root_node = BinaryTreeNode(10, None)
new_node = root_node.insert_left(5)
new_node = new_node.insert_right(6)
node_found = find_second_largest_item_bst_no_parent(root_node)
assert 6 == node_found.value
| 31.172414 | 103 | 0.826327 | 455 | 2,712 | 4.406593 | 0.10989 | 0.153616 | 0.149626 | 0.188529 | 0.960599 | 0.948628 | 0.948628 | 0.909227 | 0.909227 | 0.881796 | 0 | 0.031429 | 0.096608 | 2,712 | 86 | 104 | 31.534884 | 0.786939 | 0 | 0 | 0.786885 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.098361 | 1 | 0.131148 | false | 0 | 0.04918 | 0 | 0.180328 | 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 |
1dab2a4988002642e1d545d63b0548bbb2f9f6dc | 279 | py | Python | photologue/tests/__init__.py | TAMUArch/django-photologue | e153dd84715b1dd0bea3ac869cd9fcd9bf01e057 | [
"BSD-3-Clause"
] | null | null | null | photologue/tests/__init__.py | TAMUArch/django-photologue | e153dd84715b1dd0bea3ac869cd9fcd9bf01e057 | [
"BSD-3-Clause"
] | null | null | null | photologue/tests/__init__.py | TAMUArch/django-photologue | e153dd84715b1dd0bea3ac869cd9fcd9bf01e057 | [
"BSD-3-Clause"
] | null | null | null | from photologue.tests.effect import *
from photologue.tests.gallery import *
from photologue.tests.photo import *
from photologue.tests.resize import *
from photologue.tests.views_photo import *
from photologue.tests.views_gallery import *
from photologue.tests.sitemap import *
| 34.875 | 44 | 0.824373 | 37 | 279 | 6.162162 | 0.27027 | 0.429825 | 0.583333 | 0.657895 | 0.697368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.100358 | 279 | 7 | 45 | 39.857143 | 0.908367 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
1df9edaad04e189c96135ae3ba439d7970230d7b | 101 | py | Python | getting_started_python/src/greetings/greetings.py | Tatskaari/please-codelabs | d3bc47e988ef6dbf1e7fa19ddde45aa0b32ef1db | [
"Apache-2.0"
] | 4 | 2021-07-02T20:05:43.000Z | 2022-02-03T09:57:13.000Z | getting_started_python/src/greetings/greetings.py | Tatskaari/please-codelabs | d3bc47e988ef6dbf1e7fa19ddde45aa0b32ef1db | [
"Apache-2.0"
] | 10 | 2021-07-24T23:18:37.000Z | 2022-03-18T00:58:05.000Z | getting_started_python/src/greetings/greetings.py | ekmixon/please-codelabs | 4eb03ed56d870b87199d3a22d047dea3cd673900 | [
"Apache-2.0"
] | 2 | 2021-03-13T18:49:15.000Z | 2021-07-02T20:05:46.000Z | from numpy import random
def greeting():
return random.choice(["Hello", "Bonjour", "Marhabaan"]) | 25.25 | 59 | 0.70297 | 12 | 101 | 5.916667 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.138614 | 101 | 4 | 59 | 25.25 | 0.816092 | 0 | 0 | 0 | 0 | 0 | 0.205882 | 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 |
3816121331bf0614816e5725fb91b867c274486b | 89,277 | py | Python | sdk/python/pulumi_aiven/service_integration.py | pulumi/pulumi-aiven | 0d330ef43c17ce2d2a77588c1d9754de6c8ca736 | [
"ECL-2.0",
"Apache-2.0"
] | 7 | 2019-11-28T22:30:11.000Z | 2021-12-27T16:40:54.000Z | sdk/python/pulumi_aiven/service_integration.py | pulumi/pulumi-aiven | 0d330ef43c17ce2d2a77588c1d9754de6c8ca736 | [
"ECL-2.0",
"Apache-2.0"
] | 97 | 2019-12-17T09:58:57.000Z | 2022-03-31T15:19:02.000Z | sdk/python/pulumi_aiven/service_integration.py | pulumi/pulumi-aiven | 0d330ef43c17ce2d2a77588c1d9754de6c8ca736 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-11-24T12:22:38.000Z | 2020-11-24T12:22:38.000Z | # 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
from . import outputs
from ._inputs import *
__all__ = ['ServiceIntegrationArgs', 'ServiceIntegration']
@pulumi.input_type
class ServiceIntegrationArgs:
def __init__(__self__, *,
integration_type: pulumi.Input[str],
project: pulumi.Input[str],
dashboard_user_config: Optional[pulumi.Input['ServiceIntegrationDashboardUserConfigArgs']] = None,
datadog_user_config: Optional[pulumi.Input['ServiceIntegrationDatadogUserConfigArgs']] = None,
destination_endpoint_id: Optional[pulumi.Input[str]] = None,
destination_service_name: Optional[pulumi.Input[str]] = None,
external_aws_cloudwatch_logs_user_config: Optional[pulumi.Input['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs']] = None,
external_aws_cloudwatch_metrics_user_config: Optional[pulumi.Input['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs']] = None,
external_elasticsearch_logs_user_config: Optional[pulumi.Input['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs']] = None,
external_google_cloud_logging_user_config: Optional[pulumi.Input['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs']] = None,
kafka_connect_user_config: Optional[pulumi.Input['ServiceIntegrationKafkaConnectUserConfigArgs']] = None,
kafka_logs_user_config: Optional[pulumi.Input['ServiceIntegrationKafkaLogsUserConfigArgs']] = None,
kafka_mirrormaker_user_config: Optional[pulumi.Input['ServiceIntegrationKafkaMirrormakerUserConfigArgs']] = None,
logs_user_config: Optional[pulumi.Input['ServiceIntegrationLogsUserConfigArgs']] = None,
m3aggregator_user_config: Optional[pulumi.Input['ServiceIntegrationM3aggregatorUserConfigArgs']] = None,
m3coordinator_user_config: Optional[pulumi.Input['ServiceIntegrationM3coordinatorUserConfigArgs']] = None,
metrics_user_config: Optional[pulumi.Input['ServiceIntegrationMetricsUserConfigArgs']] = None,
mirrormaker_user_config: Optional[pulumi.Input['ServiceIntegrationMirrormakerUserConfigArgs']] = None,
prometheus_user_config: Optional[pulumi.Input['ServiceIntegrationPrometheusUserConfigArgs']] = None,
read_replica_user_config: Optional[pulumi.Input['ServiceIntegrationReadReplicaUserConfigArgs']] = None,
rsyslog_user_config: Optional[pulumi.Input['ServiceIntegrationRsyslogUserConfigArgs']] = None,
schema_registry_proxy_user_config: Optional[pulumi.Input['ServiceIntegrationSchemaRegistryProxyUserConfigArgs']] = None,
signalfx_user_config: Optional[pulumi.Input['ServiceIntegrationSignalfxUserConfigArgs']] = None,
source_endpoint_id: Optional[pulumi.Input[str]] = None,
source_service_name: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a ServiceIntegration resource.
:param pulumi.Input[str] integration_type: identifies the type of integration that is set up. Possible values include `dashboard`
, `datadog`, `logs`, `metrics`, `kafka_connect`, `external_google_cloud_logging`, `external_elasticsearch_logs`
`external_aws_cloudwatch_logs`, `read_replica`, `rsyslog`, `signalfx`, `kafka_logs`, `m3aggregator`,
`m3coordinator`, `prometheus`, `schema_registry_proxy` and `kafka_mirrormaker`.
:param pulumi.Input[str] project: defines the project the integration belongs to.
:param pulumi.Input['ServiceIntegrationDashboardUserConfigArgs'] dashboard_user_config: Dashboard specific user configurable settings
:param pulumi.Input['ServiceIntegrationDatadogUserConfigArgs'] datadog_user_config: Dashboard specific user configurable settings
:param pulumi.Input[str] destination_endpoint_id: or `destination_service_name` - (Required) identifies the target side of the integration.
Only either endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the target needs to be defined using the
reference syntax described above to set up the dependency correctly.
:param pulumi.Input[str] destination_service_name: Destination service for the integration (if any)
:param pulumi.Input['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs'] external_aws_cloudwatch_logs_user_config: External AWS Cloudwatch logs specific user configurable settings
:param pulumi.Input['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs'] external_aws_cloudwatch_metrics_user_config: External AWS cloudwatch metrics specific user configurable settings
:param pulumi.Input['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs'] external_elasticsearch_logs_user_config: External Elasticsearch logs specific user configurable settings
:param pulumi.Input['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs'] external_google_cloud_logging_user_config: External Google Cloud Logging specific user configurable settings
:param pulumi.Input['ServiceIntegrationKafkaConnectUserConfigArgs'] kafka_connect_user_config: Kafka Connect specific user configurable settings
:param pulumi.Input['ServiceIntegrationKafkaLogsUserConfigArgs'] kafka_logs_user_config: Kafka Logs specific user configurable settings
:param pulumi.Input['ServiceIntegrationKafkaMirrormakerUserConfigArgs'] kafka_mirrormaker_user_config: Mirrormaker 2 integration specific user configurable settings
:param pulumi.Input['ServiceIntegrationLogsUserConfigArgs'] logs_user_config: Log integration specific user configurable settings
:param pulumi.Input['ServiceIntegrationM3aggregatorUserConfigArgs'] m3aggregator_user_config: M3 aggregator specific user configurable settings
:param pulumi.Input['ServiceIntegrationM3coordinatorUserConfigArgs'] m3coordinator_user_config: M3 coordinator specific user configurable settings
:param pulumi.Input['ServiceIntegrationMetricsUserConfigArgs'] metrics_user_config: Metrics specific user configurable settings
:param pulumi.Input['ServiceIntegrationMirrormakerUserConfigArgs'] mirrormaker_user_config: Mirrormaker 1 integration specific user configurable settings
:param pulumi.Input['ServiceIntegrationPrometheusUserConfigArgs'] prometheus_user_config: Prometheus coordinator specific user configurable settings
:param pulumi.Input['ServiceIntegrationReadReplicaUserConfigArgs'] read_replica_user_config: PG Read replica specific user configurable settings
:param pulumi.Input['ServiceIntegrationRsyslogUserConfigArgs'] rsyslog_user_config: RSyslog specific user configurable settings
:param pulumi.Input['ServiceIntegrationSchemaRegistryProxyUserConfigArgs'] schema_registry_proxy_user_config: Schema registry proxy specific user configurable settings
:param pulumi.Input['ServiceIntegrationSignalfxUserConfigArgs'] signalfx_user_config: Signalfx specific user configurable settings
:param pulumi.Input[str] source_endpoint_id: or `source_service_name` - (Optional) identifies the source side of the integration. Only either
endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the source needs to be defined using the
reference syntax described above to set up the dependency correctly.
:param pulumi.Input[str] source_service_name: Source service for the integration (if any)
"""
pulumi.set(__self__, "integration_type", integration_type)
pulumi.set(__self__, "project", project)
if dashboard_user_config is not None:
pulumi.set(__self__, "dashboard_user_config", dashboard_user_config)
if datadog_user_config is not None:
pulumi.set(__self__, "datadog_user_config", datadog_user_config)
if destination_endpoint_id is not None:
pulumi.set(__self__, "destination_endpoint_id", destination_endpoint_id)
if destination_service_name is not None:
pulumi.set(__self__, "destination_service_name", destination_service_name)
if external_aws_cloudwatch_logs_user_config is not None:
pulumi.set(__self__, "external_aws_cloudwatch_logs_user_config", external_aws_cloudwatch_logs_user_config)
if external_aws_cloudwatch_metrics_user_config is not None:
pulumi.set(__self__, "external_aws_cloudwatch_metrics_user_config", external_aws_cloudwatch_metrics_user_config)
if external_elasticsearch_logs_user_config is not None:
pulumi.set(__self__, "external_elasticsearch_logs_user_config", external_elasticsearch_logs_user_config)
if external_google_cloud_logging_user_config is not None:
pulumi.set(__self__, "external_google_cloud_logging_user_config", external_google_cloud_logging_user_config)
if kafka_connect_user_config is not None:
pulumi.set(__self__, "kafka_connect_user_config", kafka_connect_user_config)
if kafka_logs_user_config is not None:
pulumi.set(__self__, "kafka_logs_user_config", kafka_logs_user_config)
if kafka_mirrormaker_user_config is not None:
pulumi.set(__self__, "kafka_mirrormaker_user_config", kafka_mirrormaker_user_config)
if logs_user_config is not None:
pulumi.set(__self__, "logs_user_config", logs_user_config)
if m3aggregator_user_config is not None:
pulumi.set(__self__, "m3aggregator_user_config", m3aggregator_user_config)
if m3coordinator_user_config is not None:
pulumi.set(__self__, "m3coordinator_user_config", m3coordinator_user_config)
if metrics_user_config is not None:
pulumi.set(__self__, "metrics_user_config", metrics_user_config)
if mirrormaker_user_config is not None:
pulumi.set(__self__, "mirrormaker_user_config", mirrormaker_user_config)
if prometheus_user_config is not None:
pulumi.set(__self__, "prometheus_user_config", prometheus_user_config)
if read_replica_user_config is not None:
pulumi.set(__self__, "read_replica_user_config", read_replica_user_config)
if rsyslog_user_config is not None:
pulumi.set(__self__, "rsyslog_user_config", rsyslog_user_config)
if schema_registry_proxy_user_config is not None:
pulumi.set(__self__, "schema_registry_proxy_user_config", schema_registry_proxy_user_config)
if signalfx_user_config is not None:
pulumi.set(__self__, "signalfx_user_config", signalfx_user_config)
if source_endpoint_id is not None:
pulumi.set(__self__, "source_endpoint_id", source_endpoint_id)
if source_service_name is not None:
pulumi.set(__self__, "source_service_name", source_service_name)
@property
@pulumi.getter(name="integrationType")
def integration_type(self) -> pulumi.Input[str]:
"""
identifies the type of integration that is set up. Possible values include `dashboard`
, `datadog`, `logs`, `metrics`, `kafka_connect`, `external_google_cloud_logging`, `external_elasticsearch_logs`
`external_aws_cloudwatch_logs`, `read_replica`, `rsyslog`, `signalfx`, `kafka_logs`, `m3aggregator`,
`m3coordinator`, `prometheus`, `schema_registry_proxy` and `kafka_mirrormaker`.
"""
return pulumi.get(self, "integration_type")
@integration_type.setter
def integration_type(self, value: pulumi.Input[str]):
pulumi.set(self, "integration_type", value)
@property
@pulumi.getter
def project(self) -> pulumi.Input[str]:
"""
defines the project the integration belongs to.
"""
return pulumi.get(self, "project")
@project.setter
def project(self, value: pulumi.Input[str]):
pulumi.set(self, "project", value)
@property
@pulumi.getter(name="dashboardUserConfig")
def dashboard_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationDashboardUserConfigArgs']]:
"""
Dashboard specific user configurable settings
"""
return pulumi.get(self, "dashboard_user_config")
@dashboard_user_config.setter
def dashboard_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationDashboardUserConfigArgs']]):
pulumi.set(self, "dashboard_user_config", value)
@property
@pulumi.getter(name="datadogUserConfig")
def datadog_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationDatadogUserConfigArgs']]:
"""
Dashboard specific user configurable settings
"""
return pulumi.get(self, "datadog_user_config")
@datadog_user_config.setter
def datadog_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationDatadogUserConfigArgs']]):
pulumi.set(self, "datadog_user_config", value)
@property
@pulumi.getter(name="destinationEndpointId")
def destination_endpoint_id(self) -> Optional[pulumi.Input[str]]:
"""
or `destination_service_name` - (Required) identifies the target side of the integration.
Only either endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the target needs to be defined using the
reference syntax described above to set up the dependency correctly.
"""
return pulumi.get(self, "destination_endpoint_id")
@destination_endpoint_id.setter
def destination_endpoint_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "destination_endpoint_id", value)
@property
@pulumi.getter(name="destinationServiceName")
def destination_service_name(self) -> Optional[pulumi.Input[str]]:
"""
Destination service for the integration (if any)
"""
return pulumi.get(self, "destination_service_name")
@destination_service_name.setter
def destination_service_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "destination_service_name", value)
@property
@pulumi.getter(name="externalAwsCloudwatchLogsUserConfig")
def external_aws_cloudwatch_logs_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs']]:
"""
External AWS Cloudwatch logs specific user configurable settings
"""
return pulumi.get(self, "external_aws_cloudwatch_logs_user_config")
@external_aws_cloudwatch_logs_user_config.setter
def external_aws_cloudwatch_logs_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs']]):
pulumi.set(self, "external_aws_cloudwatch_logs_user_config", value)
@property
@pulumi.getter(name="externalAwsCloudwatchMetricsUserConfig")
def external_aws_cloudwatch_metrics_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs']]:
"""
External AWS cloudwatch metrics specific user configurable settings
"""
return pulumi.get(self, "external_aws_cloudwatch_metrics_user_config")
@external_aws_cloudwatch_metrics_user_config.setter
def external_aws_cloudwatch_metrics_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs']]):
pulumi.set(self, "external_aws_cloudwatch_metrics_user_config", value)
@property
@pulumi.getter(name="externalElasticsearchLogsUserConfig")
def external_elasticsearch_logs_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs']]:
"""
External Elasticsearch logs specific user configurable settings
"""
return pulumi.get(self, "external_elasticsearch_logs_user_config")
@external_elasticsearch_logs_user_config.setter
def external_elasticsearch_logs_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs']]):
pulumi.set(self, "external_elasticsearch_logs_user_config", value)
@property
@pulumi.getter(name="externalGoogleCloudLoggingUserConfig")
def external_google_cloud_logging_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs']]:
"""
External Google Cloud Logging specific user configurable settings
"""
return pulumi.get(self, "external_google_cloud_logging_user_config")
@external_google_cloud_logging_user_config.setter
def external_google_cloud_logging_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs']]):
pulumi.set(self, "external_google_cloud_logging_user_config", value)
@property
@pulumi.getter(name="kafkaConnectUserConfig")
def kafka_connect_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationKafkaConnectUserConfigArgs']]:
"""
Kafka Connect specific user configurable settings
"""
return pulumi.get(self, "kafka_connect_user_config")
@kafka_connect_user_config.setter
def kafka_connect_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationKafkaConnectUserConfigArgs']]):
pulumi.set(self, "kafka_connect_user_config", value)
@property
@pulumi.getter(name="kafkaLogsUserConfig")
def kafka_logs_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationKafkaLogsUserConfigArgs']]:
"""
Kafka Logs specific user configurable settings
"""
return pulumi.get(self, "kafka_logs_user_config")
@kafka_logs_user_config.setter
def kafka_logs_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationKafkaLogsUserConfigArgs']]):
pulumi.set(self, "kafka_logs_user_config", value)
@property
@pulumi.getter(name="kafkaMirrormakerUserConfig")
def kafka_mirrormaker_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationKafkaMirrormakerUserConfigArgs']]:
"""
Mirrormaker 2 integration specific user configurable settings
"""
return pulumi.get(self, "kafka_mirrormaker_user_config")
@kafka_mirrormaker_user_config.setter
def kafka_mirrormaker_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationKafkaMirrormakerUserConfigArgs']]):
pulumi.set(self, "kafka_mirrormaker_user_config", value)
@property
@pulumi.getter(name="logsUserConfig")
def logs_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationLogsUserConfigArgs']]:
"""
Log integration specific user configurable settings
"""
return pulumi.get(self, "logs_user_config")
@logs_user_config.setter
def logs_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationLogsUserConfigArgs']]):
pulumi.set(self, "logs_user_config", value)
@property
@pulumi.getter(name="m3aggregatorUserConfig")
def m3aggregator_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationM3aggregatorUserConfigArgs']]:
"""
M3 aggregator specific user configurable settings
"""
return pulumi.get(self, "m3aggregator_user_config")
@m3aggregator_user_config.setter
def m3aggregator_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationM3aggregatorUserConfigArgs']]):
pulumi.set(self, "m3aggregator_user_config", value)
@property
@pulumi.getter(name="m3coordinatorUserConfig")
def m3coordinator_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationM3coordinatorUserConfigArgs']]:
"""
M3 coordinator specific user configurable settings
"""
return pulumi.get(self, "m3coordinator_user_config")
@m3coordinator_user_config.setter
def m3coordinator_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationM3coordinatorUserConfigArgs']]):
pulumi.set(self, "m3coordinator_user_config", value)
@property
@pulumi.getter(name="metricsUserConfig")
def metrics_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationMetricsUserConfigArgs']]:
"""
Metrics specific user configurable settings
"""
return pulumi.get(self, "metrics_user_config")
@metrics_user_config.setter
def metrics_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationMetricsUserConfigArgs']]):
pulumi.set(self, "metrics_user_config", value)
@property
@pulumi.getter(name="mirrormakerUserConfig")
def mirrormaker_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationMirrormakerUserConfigArgs']]:
"""
Mirrormaker 1 integration specific user configurable settings
"""
return pulumi.get(self, "mirrormaker_user_config")
@mirrormaker_user_config.setter
def mirrormaker_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationMirrormakerUserConfigArgs']]):
pulumi.set(self, "mirrormaker_user_config", value)
@property
@pulumi.getter(name="prometheusUserConfig")
def prometheus_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationPrometheusUserConfigArgs']]:
"""
Prometheus coordinator specific user configurable settings
"""
return pulumi.get(self, "prometheus_user_config")
@prometheus_user_config.setter
def prometheus_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationPrometheusUserConfigArgs']]):
pulumi.set(self, "prometheus_user_config", value)
@property
@pulumi.getter(name="readReplicaUserConfig")
def read_replica_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationReadReplicaUserConfigArgs']]:
"""
PG Read replica specific user configurable settings
"""
return pulumi.get(self, "read_replica_user_config")
@read_replica_user_config.setter
def read_replica_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationReadReplicaUserConfigArgs']]):
pulumi.set(self, "read_replica_user_config", value)
@property
@pulumi.getter(name="rsyslogUserConfig")
def rsyslog_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationRsyslogUserConfigArgs']]:
"""
RSyslog specific user configurable settings
"""
return pulumi.get(self, "rsyslog_user_config")
@rsyslog_user_config.setter
def rsyslog_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationRsyslogUserConfigArgs']]):
pulumi.set(self, "rsyslog_user_config", value)
@property
@pulumi.getter(name="schemaRegistryProxyUserConfig")
def schema_registry_proxy_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationSchemaRegistryProxyUserConfigArgs']]:
"""
Schema registry proxy specific user configurable settings
"""
return pulumi.get(self, "schema_registry_proxy_user_config")
@schema_registry_proxy_user_config.setter
def schema_registry_proxy_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationSchemaRegistryProxyUserConfigArgs']]):
pulumi.set(self, "schema_registry_proxy_user_config", value)
@property
@pulumi.getter(name="signalfxUserConfig")
def signalfx_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationSignalfxUserConfigArgs']]:
"""
Signalfx specific user configurable settings
"""
return pulumi.get(self, "signalfx_user_config")
@signalfx_user_config.setter
def signalfx_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationSignalfxUserConfigArgs']]):
pulumi.set(self, "signalfx_user_config", value)
@property
@pulumi.getter(name="sourceEndpointId")
def source_endpoint_id(self) -> Optional[pulumi.Input[str]]:
"""
or `source_service_name` - (Optional) identifies the source side of the integration. Only either
endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the source needs to be defined using the
reference syntax described above to set up the dependency correctly.
"""
return pulumi.get(self, "source_endpoint_id")
@source_endpoint_id.setter
def source_endpoint_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "source_endpoint_id", value)
@property
@pulumi.getter(name="sourceServiceName")
def source_service_name(self) -> Optional[pulumi.Input[str]]:
"""
Source service for the integration (if any)
"""
return pulumi.get(self, "source_service_name")
@source_service_name.setter
def source_service_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "source_service_name", value)
@pulumi.input_type
class _ServiceIntegrationState:
def __init__(__self__, *,
dashboard_user_config: Optional[pulumi.Input['ServiceIntegrationDashboardUserConfigArgs']] = None,
datadog_user_config: Optional[pulumi.Input['ServiceIntegrationDatadogUserConfigArgs']] = None,
destination_endpoint_id: Optional[pulumi.Input[str]] = None,
destination_service_name: Optional[pulumi.Input[str]] = None,
external_aws_cloudwatch_logs_user_config: Optional[pulumi.Input['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs']] = None,
external_aws_cloudwatch_metrics_user_config: Optional[pulumi.Input['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs']] = None,
external_elasticsearch_logs_user_config: Optional[pulumi.Input['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs']] = None,
external_google_cloud_logging_user_config: Optional[pulumi.Input['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs']] = None,
integration_type: Optional[pulumi.Input[str]] = None,
kafka_connect_user_config: Optional[pulumi.Input['ServiceIntegrationKafkaConnectUserConfigArgs']] = None,
kafka_logs_user_config: Optional[pulumi.Input['ServiceIntegrationKafkaLogsUserConfigArgs']] = None,
kafka_mirrormaker_user_config: Optional[pulumi.Input['ServiceIntegrationKafkaMirrormakerUserConfigArgs']] = None,
logs_user_config: Optional[pulumi.Input['ServiceIntegrationLogsUserConfigArgs']] = None,
m3aggregator_user_config: Optional[pulumi.Input['ServiceIntegrationM3aggregatorUserConfigArgs']] = None,
m3coordinator_user_config: Optional[pulumi.Input['ServiceIntegrationM3coordinatorUserConfigArgs']] = None,
metrics_user_config: Optional[pulumi.Input['ServiceIntegrationMetricsUserConfigArgs']] = None,
mirrormaker_user_config: Optional[pulumi.Input['ServiceIntegrationMirrormakerUserConfigArgs']] = None,
project: Optional[pulumi.Input[str]] = None,
prometheus_user_config: Optional[pulumi.Input['ServiceIntegrationPrometheusUserConfigArgs']] = None,
read_replica_user_config: Optional[pulumi.Input['ServiceIntegrationReadReplicaUserConfigArgs']] = None,
rsyslog_user_config: Optional[pulumi.Input['ServiceIntegrationRsyslogUserConfigArgs']] = None,
schema_registry_proxy_user_config: Optional[pulumi.Input['ServiceIntegrationSchemaRegistryProxyUserConfigArgs']] = None,
signalfx_user_config: Optional[pulumi.Input['ServiceIntegrationSignalfxUserConfigArgs']] = None,
source_endpoint_id: Optional[pulumi.Input[str]] = None,
source_service_name: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering ServiceIntegration resources.
:param pulumi.Input['ServiceIntegrationDashboardUserConfigArgs'] dashboard_user_config: Dashboard specific user configurable settings
:param pulumi.Input['ServiceIntegrationDatadogUserConfigArgs'] datadog_user_config: Dashboard specific user configurable settings
:param pulumi.Input[str] destination_endpoint_id: or `destination_service_name` - (Required) identifies the target side of the integration.
Only either endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the target needs to be defined using the
reference syntax described above to set up the dependency correctly.
:param pulumi.Input[str] destination_service_name: Destination service for the integration (if any)
:param pulumi.Input['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs'] external_aws_cloudwatch_logs_user_config: External AWS Cloudwatch logs specific user configurable settings
:param pulumi.Input['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs'] external_aws_cloudwatch_metrics_user_config: External AWS cloudwatch metrics specific user configurable settings
:param pulumi.Input['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs'] external_elasticsearch_logs_user_config: External Elasticsearch logs specific user configurable settings
:param pulumi.Input['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs'] external_google_cloud_logging_user_config: External Google Cloud Logging specific user configurable settings
:param pulumi.Input[str] integration_type: identifies the type of integration that is set up. Possible values include `dashboard`
, `datadog`, `logs`, `metrics`, `kafka_connect`, `external_google_cloud_logging`, `external_elasticsearch_logs`
`external_aws_cloudwatch_logs`, `read_replica`, `rsyslog`, `signalfx`, `kafka_logs`, `m3aggregator`,
`m3coordinator`, `prometheus`, `schema_registry_proxy` and `kafka_mirrormaker`.
:param pulumi.Input['ServiceIntegrationKafkaConnectUserConfigArgs'] kafka_connect_user_config: Kafka Connect specific user configurable settings
:param pulumi.Input['ServiceIntegrationKafkaLogsUserConfigArgs'] kafka_logs_user_config: Kafka Logs specific user configurable settings
:param pulumi.Input['ServiceIntegrationKafkaMirrormakerUserConfigArgs'] kafka_mirrormaker_user_config: Mirrormaker 2 integration specific user configurable settings
:param pulumi.Input['ServiceIntegrationLogsUserConfigArgs'] logs_user_config: Log integration specific user configurable settings
:param pulumi.Input['ServiceIntegrationM3aggregatorUserConfigArgs'] m3aggregator_user_config: M3 aggregator specific user configurable settings
:param pulumi.Input['ServiceIntegrationM3coordinatorUserConfigArgs'] m3coordinator_user_config: M3 coordinator specific user configurable settings
:param pulumi.Input['ServiceIntegrationMetricsUserConfigArgs'] metrics_user_config: Metrics specific user configurable settings
:param pulumi.Input['ServiceIntegrationMirrormakerUserConfigArgs'] mirrormaker_user_config: Mirrormaker 1 integration specific user configurable settings
:param pulumi.Input[str] project: defines the project the integration belongs to.
:param pulumi.Input['ServiceIntegrationPrometheusUserConfigArgs'] prometheus_user_config: Prometheus coordinator specific user configurable settings
:param pulumi.Input['ServiceIntegrationReadReplicaUserConfigArgs'] read_replica_user_config: PG Read replica specific user configurable settings
:param pulumi.Input['ServiceIntegrationRsyslogUserConfigArgs'] rsyslog_user_config: RSyslog specific user configurable settings
:param pulumi.Input['ServiceIntegrationSchemaRegistryProxyUserConfigArgs'] schema_registry_proxy_user_config: Schema registry proxy specific user configurable settings
:param pulumi.Input['ServiceIntegrationSignalfxUserConfigArgs'] signalfx_user_config: Signalfx specific user configurable settings
:param pulumi.Input[str] source_endpoint_id: or `source_service_name` - (Optional) identifies the source side of the integration. Only either
endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the source needs to be defined using the
reference syntax described above to set up the dependency correctly.
:param pulumi.Input[str] source_service_name: Source service for the integration (if any)
"""
if dashboard_user_config is not None:
pulumi.set(__self__, "dashboard_user_config", dashboard_user_config)
if datadog_user_config is not None:
pulumi.set(__self__, "datadog_user_config", datadog_user_config)
if destination_endpoint_id is not None:
pulumi.set(__self__, "destination_endpoint_id", destination_endpoint_id)
if destination_service_name is not None:
pulumi.set(__self__, "destination_service_name", destination_service_name)
if external_aws_cloudwatch_logs_user_config is not None:
pulumi.set(__self__, "external_aws_cloudwatch_logs_user_config", external_aws_cloudwatch_logs_user_config)
if external_aws_cloudwatch_metrics_user_config is not None:
pulumi.set(__self__, "external_aws_cloudwatch_metrics_user_config", external_aws_cloudwatch_metrics_user_config)
if external_elasticsearch_logs_user_config is not None:
pulumi.set(__self__, "external_elasticsearch_logs_user_config", external_elasticsearch_logs_user_config)
if external_google_cloud_logging_user_config is not None:
pulumi.set(__self__, "external_google_cloud_logging_user_config", external_google_cloud_logging_user_config)
if integration_type is not None:
pulumi.set(__self__, "integration_type", integration_type)
if kafka_connect_user_config is not None:
pulumi.set(__self__, "kafka_connect_user_config", kafka_connect_user_config)
if kafka_logs_user_config is not None:
pulumi.set(__self__, "kafka_logs_user_config", kafka_logs_user_config)
if kafka_mirrormaker_user_config is not None:
pulumi.set(__self__, "kafka_mirrormaker_user_config", kafka_mirrormaker_user_config)
if logs_user_config is not None:
pulumi.set(__self__, "logs_user_config", logs_user_config)
if m3aggregator_user_config is not None:
pulumi.set(__self__, "m3aggregator_user_config", m3aggregator_user_config)
if m3coordinator_user_config is not None:
pulumi.set(__self__, "m3coordinator_user_config", m3coordinator_user_config)
if metrics_user_config is not None:
pulumi.set(__self__, "metrics_user_config", metrics_user_config)
if mirrormaker_user_config is not None:
pulumi.set(__self__, "mirrormaker_user_config", mirrormaker_user_config)
if project is not None:
pulumi.set(__self__, "project", project)
if prometheus_user_config is not None:
pulumi.set(__self__, "prometheus_user_config", prometheus_user_config)
if read_replica_user_config is not None:
pulumi.set(__self__, "read_replica_user_config", read_replica_user_config)
if rsyslog_user_config is not None:
pulumi.set(__self__, "rsyslog_user_config", rsyslog_user_config)
if schema_registry_proxy_user_config is not None:
pulumi.set(__self__, "schema_registry_proxy_user_config", schema_registry_proxy_user_config)
if signalfx_user_config is not None:
pulumi.set(__self__, "signalfx_user_config", signalfx_user_config)
if source_endpoint_id is not None:
pulumi.set(__self__, "source_endpoint_id", source_endpoint_id)
if source_service_name is not None:
pulumi.set(__self__, "source_service_name", source_service_name)
@property
@pulumi.getter(name="dashboardUserConfig")
def dashboard_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationDashboardUserConfigArgs']]:
"""
Dashboard specific user configurable settings
"""
return pulumi.get(self, "dashboard_user_config")
@dashboard_user_config.setter
def dashboard_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationDashboardUserConfigArgs']]):
pulumi.set(self, "dashboard_user_config", value)
@property
@pulumi.getter(name="datadogUserConfig")
def datadog_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationDatadogUserConfigArgs']]:
"""
Dashboard specific user configurable settings
"""
return pulumi.get(self, "datadog_user_config")
@datadog_user_config.setter
def datadog_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationDatadogUserConfigArgs']]):
pulumi.set(self, "datadog_user_config", value)
@property
@pulumi.getter(name="destinationEndpointId")
def destination_endpoint_id(self) -> Optional[pulumi.Input[str]]:
"""
or `destination_service_name` - (Required) identifies the target side of the integration.
Only either endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the target needs to be defined using the
reference syntax described above to set up the dependency correctly.
"""
return pulumi.get(self, "destination_endpoint_id")
@destination_endpoint_id.setter
def destination_endpoint_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "destination_endpoint_id", value)
@property
@pulumi.getter(name="destinationServiceName")
def destination_service_name(self) -> Optional[pulumi.Input[str]]:
"""
Destination service for the integration (if any)
"""
return pulumi.get(self, "destination_service_name")
@destination_service_name.setter
def destination_service_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "destination_service_name", value)
@property
@pulumi.getter(name="externalAwsCloudwatchLogsUserConfig")
def external_aws_cloudwatch_logs_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs']]:
"""
External AWS Cloudwatch logs specific user configurable settings
"""
return pulumi.get(self, "external_aws_cloudwatch_logs_user_config")
@external_aws_cloudwatch_logs_user_config.setter
def external_aws_cloudwatch_logs_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs']]):
pulumi.set(self, "external_aws_cloudwatch_logs_user_config", value)
@property
@pulumi.getter(name="externalAwsCloudwatchMetricsUserConfig")
def external_aws_cloudwatch_metrics_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs']]:
"""
External AWS cloudwatch metrics specific user configurable settings
"""
return pulumi.get(self, "external_aws_cloudwatch_metrics_user_config")
@external_aws_cloudwatch_metrics_user_config.setter
def external_aws_cloudwatch_metrics_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs']]):
pulumi.set(self, "external_aws_cloudwatch_metrics_user_config", value)
@property
@pulumi.getter(name="externalElasticsearchLogsUserConfig")
def external_elasticsearch_logs_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs']]:
"""
External Elasticsearch logs specific user configurable settings
"""
return pulumi.get(self, "external_elasticsearch_logs_user_config")
@external_elasticsearch_logs_user_config.setter
def external_elasticsearch_logs_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs']]):
pulumi.set(self, "external_elasticsearch_logs_user_config", value)
@property
@pulumi.getter(name="externalGoogleCloudLoggingUserConfig")
def external_google_cloud_logging_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs']]:
"""
External Google Cloud Logging specific user configurable settings
"""
return pulumi.get(self, "external_google_cloud_logging_user_config")
@external_google_cloud_logging_user_config.setter
def external_google_cloud_logging_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs']]):
pulumi.set(self, "external_google_cloud_logging_user_config", value)
@property
@pulumi.getter(name="integrationType")
def integration_type(self) -> Optional[pulumi.Input[str]]:
"""
identifies the type of integration that is set up. Possible values include `dashboard`
, `datadog`, `logs`, `metrics`, `kafka_connect`, `external_google_cloud_logging`, `external_elasticsearch_logs`
`external_aws_cloudwatch_logs`, `read_replica`, `rsyslog`, `signalfx`, `kafka_logs`, `m3aggregator`,
`m3coordinator`, `prometheus`, `schema_registry_proxy` and `kafka_mirrormaker`.
"""
return pulumi.get(self, "integration_type")
@integration_type.setter
def integration_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "integration_type", value)
@property
@pulumi.getter(name="kafkaConnectUserConfig")
def kafka_connect_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationKafkaConnectUserConfigArgs']]:
"""
Kafka Connect specific user configurable settings
"""
return pulumi.get(self, "kafka_connect_user_config")
@kafka_connect_user_config.setter
def kafka_connect_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationKafkaConnectUserConfigArgs']]):
pulumi.set(self, "kafka_connect_user_config", value)
@property
@pulumi.getter(name="kafkaLogsUserConfig")
def kafka_logs_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationKafkaLogsUserConfigArgs']]:
"""
Kafka Logs specific user configurable settings
"""
return pulumi.get(self, "kafka_logs_user_config")
@kafka_logs_user_config.setter
def kafka_logs_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationKafkaLogsUserConfigArgs']]):
pulumi.set(self, "kafka_logs_user_config", value)
@property
@pulumi.getter(name="kafkaMirrormakerUserConfig")
def kafka_mirrormaker_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationKafkaMirrormakerUserConfigArgs']]:
"""
Mirrormaker 2 integration specific user configurable settings
"""
return pulumi.get(self, "kafka_mirrormaker_user_config")
@kafka_mirrormaker_user_config.setter
def kafka_mirrormaker_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationKafkaMirrormakerUserConfigArgs']]):
pulumi.set(self, "kafka_mirrormaker_user_config", value)
@property
@pulumi.getter(name="logsUserConfig")
def logs_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationLogsUserConfigArgs']]:
"""
Log integration specific user configurable settings
"""
return pulumi.get(self, "logs_user_config")
@logs_user_config.setter
def logs_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationLogsUserConfigArgs']]):
pulumi.set(self, "logs_user_config", value)
@property
@pulumi.getter(name="m3aggregatorUserConfig")
def m3aggregator_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationM3aggregatorUserConfigArgs']]:
"""
M3 aggregator specific user configurable settings
"""
return pulumi.get(self, "m3aggregator_user_config")
@m3aggregator_user_config.setter
def m3aggregator_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationM3aggregatorUserConfigArgs']]):
pulumi.set(self, "m3aggregator_user_config", value)
@property
@pulumi.getter(name="m3coordinatorUserConfig")
def m3coordinator_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationM3coordinatorUserConfigArgs']]:
"""
M3 coordinator specific user configurable settings
"""
return pulumi.get(self, "m3coordinator_user_config")
@m3coordinator_user_config.setter
def m3coordinator_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationM3coordinatorUserConfigArgs']]):
pulumi.set(self, "m3coordinator_user_config", value)
@property
@pulumi.getter(name="metricsUserConfig")
def metrics_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationMetricsUserConfigArgs']]:
"""
Metrics specific user configurable settings
"""
return pulumi.get(self, "metrics_user_config")
@metrics_user_config.setter
def metrics_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationMetricsUserConfigArgs']]):
pulumi.set(self, "metrics_user_config", value)
@property
@pulumi.getter(name="mirrormakerUserConfig")
def mirrormaker_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationMirrormakerUserConfigArgs']]:
"""
Mirrormaker 1 integration specific user configurable settings
"""
return pulumi.get(self, "mirrormaker_user_config")
@mirrormaker_user_config.setter
def mirrormaker_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationMirrormakerUserConfigArgs']]):
pulumi.set(self, "mirrormaker_user_config", value)
@property
@pulumi.getter
def project(self) -> Optional[pulumi.Input[str]]:
"""
defines the project the integration belongs to.
"""
return pulumi.get(self, "project")
@project.setter
def project(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "project", value)
@property
@pulumi.getter(name="prometheusUserConfig")
def prometheus_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationPrometheusUserConfigArgs']]:
"""
Prometheus coordinator specific user configurable settings
"""
return pulumi.get(self, "prometheus_user_config")
@prometheus_user_config.setter
def prometheus_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationPrometheusUserConfigArgs']]):
pulumi.set(self, "prometheus_user_config", value)
@property
@pulumi.getter(name="readReplicaUserConfig")
def read_replica_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationReadReplicaUserConfigArgs']]:
"""
PG Read replica specific user configurable settings
"""
return pulumi.get(self, "read_replica_user_config")
@read_replica_user_config.setter
def read_replica_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationReadReplicaUserConfigArgs']]):
pulumi.set(self, "read_replica_user_config", value)
@property
@pulumi.getter(name="rsyslogUserConfig")
def rsyslog_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationRsyslogUserConfigArgs']]:
"""
RSyslog specific user configurable settings
"""
return pulumi.get(self, "rsyslog_user_config")
@rsyslog_user_config.setter
def rsyslog_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationRsyslogUserConfigArgs']]):
pulumi.set(self, "rsyslog_user_config", value)
@property
@pulumi.getter(name="schemaRegistryProxyUserConfig")
def schema_registry_proxy_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationSchemaRegistryProxyUserConfigArgs']]:
"""
Schema registry proxy specific user configurable settings
"""
return pulumi.get(self, "schema_registry_proxy_user_config")
@schema_registry_proxy_user_config.setter
def schema_registry_proxy_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationSchemaRegistryProxyUserConfigArgs']]):
pulumi.set(self, "schema_registry_proxy_user_config", value)
@property
@pulumi.getter(name="signalfxUserConfig")
def signalfx_user_config(self) -> Optional[pulumi.Input['ServiceIntegrationSignalfxUserConfigArgs']]:
"""
Signalfx specific user configurable settings
"""
return pulumi.get(self, "signalfx_user_config")
@signalfx_user_config.setter
def signalfx_user_config(self, value: Optional[pulumi.Input['ServiceIntegrationSignalfxUserConfigArgs']]):
pulumi.set(self, "signalfx_user_config", value)
@property
@pulumi.getter(name="sourceEndpointId")
def source_endpoint_id(self) -> Optional[pulumi.Input[str]]:
"""
or `source_service_name` - (Optional) identifies the source side of the integration. Only either
endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the source needs to be defined using the
reference syntax described above to set up the dependency correctly.
"""
return pulumi.get(self, "source_endpoint_id")
@source_endpoint_id.setter
def source_endpoint_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "source_endpoint_id", value)
@property
@pulumi.getter(name="sourceServiceName")
def source_service_name(self) -> Optional[pulumi.Input[str]]:
"""
Source service for the integration (if any)
"""
return pulumi.get(self, "source_service_name")
@source_service_name.setter
def source_service_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "source_service_name", value)
class ServiceIntegration(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
dashboard_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationDashboardUserConfigArgs']]] = None,
datadog_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationDatadogUserConfigArgs']]] = None,
destination_endpoint_id: Optional[pulumi.Input[str]] = None,
destination_service_name: Optional[pulumi.Input[str]] = None,
external_aws_cloudwatch_logs_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs']]] = None,
external_aws_cloudwatch_metrics_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs']]] = None,
external_elasticsearch_logs_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs']]] = None,
external_google_cloud_logging_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs']]] = None,
integration_type: Optional[pulumi.Input[str]] = None,
kafka_connect_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaConnectUserConfigArgs']]] = None,
kafka_logs_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaLogsUserConfigArgs']]] = None,
kafka_mirrormaker_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaMirrormakerUserConfigArgs']]] = None,
logs_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationLogsUserConfigArgs']]] = None,
m3aggregator_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationM3aggregatorUserConfigArgs']]] = None,
m3coordinator_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationM3coordinatorUserConfigArgs']]] = None,
metrics_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationMetricsUserConfigArgs']]] = None,
mirrormaker_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationMirrormakerUserConfigArgs']]] = None,
project: Optional[pulumi.Input[str]] = None,
prometheus_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationPrometheusUserConfigArgs']]] = None,
read_replica_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationReadReplicaUserConfigArgs']]] = None,
rsyslog_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationRsyslogUserConfigArgs']]] = None,
schema_registry_proxy_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationSchemaRegistryProxyUserConfigArgs']]] = None,
signalfx_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationSignalfxUserConfigArgs']]] = None,
source_endpoint_id: Optional[pulumi.Input[str]] = None,
source_service_name: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
## # Service Integration Resource
The Service Integration resource allows the creation and management of Aiven Service Integrations.
Service Integration defines an integration between two Aiven services or between Aiven service and an external
integration endpoint. Integration could be for example sending metrics from Kafka service to an InfluxDB service,
getting metrics from an InfluxDB service to a Grafana service to show dashboards, sending logs from any service to
Elasticsearch, etc.
## Example Usage
```python
import pulumi
import pulumi_aiven as aiven
myintegration = aiven.ServiceIntegration("myintegration",
project=aiven_project["myproject"]["project"],
destination_endpoint_id=aiven_service_integration_endpoint["XX"]["id"],
integration_type="datadog",
source_service_name=aiven_kafka["XXX"]["service_name"])
```
> **Note** For services running on `hobbiest` plan service integrations are not supported.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[pulumi.InputType['ServiceIntegrationDashboardUserConfigArgs']] dashboard_user_config: Dashboard specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationDatadogUserConfigArgs']] datadog_user_config: Dashboard specific user configurable settings
:param pulumi.Input[str] destination_endpoint_id: or `destination_service_name` - (Required) identifies the target side of the integration.
Only either endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the target needs to be defined using the
reference syntax described above to set up the dependency correctly.
:param pulumi.Input[str] destination_service_name: Destination service for the integration (if any)
:param pulumi.Input[pulumi.InputType['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs']] external_aws_cloudwatch_logs_user_config: External AWS Cloudwatch logs specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs']] external_aws_cloudwatch_metrics_user_config: External AWS cloudwatch metrics specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs']] external_elasticsearch_logs_user_config: External Elasticsearch logs specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs']] external_google_cloud_logging_user_config: External Google Cloud Logging specific user configurable settings
:param pulumi.Input[str] integration_type: identifies the type of integration that is set up. Possible values include `dashboard`
, `datadog`, `logs`, `metrics`, `kafka_connect`, `external_google_cloud_logging`, `external_elasticsearch_logs`
`external_aws_cloudwatch_logs`, `read_replica`, `rsyslog`, `signalfx`, `kafka_logs`, `m3aggregator`,
`m3coordinator`, `prometheus`, `schema_registry_proxy` and `kafka_mirrormaker`.
:param pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaConnectUserConfigArgs']] kafka_connect_user_config: Kafka Connect specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaLogsUserConfigArgs']] kafka_logs_user_config: Kafka Logs specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaMirrormakerUserConfigArgs']] kafka_mirrormaker_user_config: Mirrormaker 2 integration specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationLogsUserConfigArgs']] logs_user_config: Log integration specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationM3aggregatorUserConfigArgs']] m3aggregator_user_config: M3 aggregator specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationM3coordinatorUserConfigArgs']] m3coordinator_user_config: M3 coordinator specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationMetricsUserConfigArgs']] metrics_user_config: Metrics specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationMirrormakerUserConfigArgs']] mirrormaker_user_config: Mirrormaker 1 integration specific user configurable settings
:param pulumi.Input[str] project: defines the project the integration belongs to.
:param pulumi.Input[pulumi.InputType['ServiceIntegrationPrometheusUserConfigArgs']] prometheus_user_config: Prometheus coordinator specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationReadReplicaUserConfigArgs']] read_replica_user_config: PG Read replica specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationRsyslogUserConfigArgs']] rsyslog_user_config: RSyslog specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationSchemaRegistryProxyUserConfigArgs']] schema_registry_proxy_user_config: Schema registry proxy specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationSignalfxUserConfigArgs']] signalfx_user_config: Signalfx specific user configurable settings
:param pulumi.Input[str] source_endpoint_id: or `source_service_name` - (Optional) identifies the source side of the integration. Only either
endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the source needs to be defined using the
reference syntax described above to set up the dependency correctly.
:param pulumi.Input[str] source_service_name: Source service for the integration (if any)
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: ServiceIntegrationArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
## # Service Integration Resource
The Service Integration resource allows the creation and management of Aiven Service Integrations.
Service Integration defines an integration between two Aiven services or between Aiven service and an external
integration endpoint. Integration could be for example sending metrics from Kafka service to an InfluxDB service,
getting metrics from an InfluxDB service to a Grafana service to show dashboards, sending logs from any service to
Elasticsearch, etc.
## Example Usage
```python
import pulumi
import pulumi_aiven as aiven
myintegration = aiven.ServiceIntegration("myintegration",
project=aiven_project["myproject"]["project"],
destination_endpoint_id=aiven_service_integration_endpoint["XX"]["id"],
integration_type="datadog",
source_service_name=aiven_kafka["XXX"]["service_name"])
```
> **Note** For services running on `hobbiest` plan service integrations are not supported.
:param str resource_name: The name of the resource.
:param ServiceIntegrationArgs 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(ServiceIntegrationArgs, 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,
dashboard_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationDashboardUserConfigArgs']]] = None,
datadog_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationDatadogUserConfigArgs']]] = None,
destination_endpoint_id: Optional[pulumi.Input[str]] = None,
destination_service_name: Optional[pulumi.Input[str]] = None,
external_aws_cloudwatch_logs_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs']]] = None,
external_aws_cloudwatch_metrics_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs']]] = None,
external_elasticsearch_logs_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs']]] = None,
external_google_cloud_logging_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs']]] = None,
integration_type: Optional[pulumi.Input[str]] = None,
kafka_connect_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaConnectUserConfigArgs']]] = None,
kafka_logs_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaLogsUserConfigArgs']]] = None,
kafka_mirrormaker_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaMirrormakerUserConfigArgs']]] = None,
logs_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationLogsUserConfigArgs']]] = None,
m3aggregator_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationM3aggregatorUserConfigArgs']]] = None,
m3coordinator_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationM3coordinatorUserConfigArgs']]] = None,
metrics_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationMetricsUserConfigArgs']]] = None,
mirrormaker_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationMirrormakerUserConfigArgs']]] = None,
project: Optional[pulumi.Input[str]] = None,
prometheus_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationPrometheusUserConfigArgs']]] = None,
read_replica_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationReadReplicaUserConfigArgs']]] = None,
rsyslog_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationRsyslogUserConfigArgs']]] = None,
schema_registry_proxy_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationSchemaRegistryProxyUserConfigArgs']]] = None,
signalfx_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationSignalfxUserConfigArgs']]] = None,
source_endpoint_id: Optional[pulumi.Input[str]] = None,
source_service_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__ = ServiceIntegrationArgs.__new__(ServiceIntegrationArgs)
__props__.__dict__["dashboard_user_config"] = dashboard_user_config
__props__.__dict__["datadog_user_config"] = datadog_user_config
__props__.__dict__["destination_endpoint_id"] = destination_endpoint_id
__props__.__dict__["destination_service_name"] = destination_service_name
__props__.__dict__["external_aws_cloudwatch_logs_user_config"] = external_aws_cloudwatch_logs_user_config
__props__.__dict__["external_aws_cloudwatch_metrics_user_config"] = external_aws_cloudwatch_metrics_user_config
__props__.__dict__["external_elasticsearch_logs_user_config"] = external_elasticsearch_logs_user_config
__props__.__dict__["external_google_cloud_logging_user_config"] = external_google_cloud_logging_user_config
if integration_type is None and not opts.urn:
raise TypeError("Missing required property 'integration_type'")
__props__.__dict__["integration_type"] = integration_type
__props__.__dict__["kafka_connect_user_config"] = kafka_connect_user_config
__props__.__dict__["kafka_logs_user_config"] = kafka_logs_user_config
__props__.__dict__["kafka_mirrormaker_user_config"] = kafka_mirrormaker_user_config
__props__.__dict__["logs_user_config"] = logs_user_config
__props__.__dict__["m3aggregator_user_config"] = m3aggregator_user_config
__props__.__dict__["m3coordinator_user_config"] = m3coordinator_user_config
__props__.__dict__["metrics_user_config"] = metrics_user_config
__props__.__dict__["mirrormaker_user_config"] = mirrormaker_user_config
if project is None and not opts.urn:
raise TypeError("Missing required property 'project'")
__props__.__dict__["project"] = project
__props__.__dict__["prometheus_user_config"] = prometheus_user_config
__props__.__dict__["read_replica_user_config"] = read_replica_user_config
__props__.__dict__["rsyslog_user_config"] = rsyslog_user_config
__props__.__dict__["schema_registry_proxy_user_config"] = schema_registry_proxy_user_config
__props__.__dict__["signalfx_user_config"] = signalfx_user_config
__props__.__dict__["source_endpoint_id"] = source_endpoint_id
__props__.__dict__["source_service_name"] = source_service_name
super(ServiceIntegration, __self__).__init__(
'aiven:index/serviceIntegration:ServiceIntegration',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
dashboard_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationDashboardUserConfigArgs']]] = None,
datadog_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationDatadogUserConfigArgs']]] = None,
destination_endpoint_id: Optional[pulumi.Input[str]] = None,
destination_service_name: Optional[pulumi.Input[str]] = None,
external_aws_cloudwatch_logs_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs']]] = None,
external_aws_cloudwatch_metrics_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs']]] = None,
external_elasticsearch_logs_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs']]] = None,
external_google_cloud_logging_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs']]] = None,
integration_type: Optional[pulumi.Input[str]] = None,
kafka_connect_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaConnectUserConfigArgs']]] = None,
kafka_logs_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaLogsUserConfigArgs']]] = None,
kafka_mirrormaker_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaMirrormakerUserConfigArgs']]] = None,
logs_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationLogsUserConfigArgs']]] = None,
m3aggregator_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationM3aggregatorUserConfigArgs']]] = None,
m3coordinator_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationM3coordinatorUserConfigArgs']]] = None,
metrics_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationMetricsUserConfigArgs']]] = None,
mirrormaker_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationMirrormakerUserConfigArgs']]] = None,
project: Optional[pulumi.Input[str]] = None,
prometheus_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationPrometheusUserConfigArgs']]] = None,
read_replica_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationReadReplicaUserConfigArgs']]] = None,
rsyslog_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationRsyslogUserConfigArgs']]] = None,
schema_registry_proxy_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationSchemaRegistryProxyUserConfigArgs']]] = None,
signalfx_user_config: Optional[pulumi.Input[pulumi.InputType['ServiceIntegrationSignalfxUserConfigArgs']]] = None,
source_endpoint_id: Optional[pulumi.Input[str]] = None,
source_service_name: Optional[pulumi.Input[str]] = None) -> 'ServiceIntegration':
"""
Get an existing ServiceIntegration 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[pulumi.InputType['ServiceIntegrationDashboardUserConfigArgs']] dashboard_user_config: Dashboard specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationDatadogUserConfigArgs']] datadog_user_config: Dashboard specific user configurable settings
:param pulumi.Input[str] destination_endpoint_id: or `destination_service_name` - (Required) identifies the target side of the integration.
Only either endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the target needs to be defined using the
reference syntax described above to set up the dependency correctly.
:param pulumi.Input[str] destination_service_name: Destination service for the integration (if any)
:param pulumi.Input[pulumi.InputType['ServiceIntegrationExternalAwsCloudwatchLogsUserConfigArgs']] external_aws_cloudwatch_logs_user_config: External AWS Cloudwatch logs specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationExternalAwsCloudwatchMetricsUserConfigArgs']] external_aws_cloudwatch_metrics_user_config: External AWS cloudwatch metrics specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationExternalElasticsearchLogsUserConfigArgs']] external_elasticsearch_logs_user_config: External Elasticsearch logs specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationExternalGoogleCloudLoggingUserConfigArgs']] external_google_cloud_logging_user_config: External Google Cloud Logging specific user configurable settings
:param pulumi.Input[str] integration_type: identifies the type of integration that is set up. Possible values include `dashboard`
, `datadog`, `logs`, `metrics`, `kafka_connect`, `external_google_cloud_logging`, `external_elasticsearch_logs`
`external_aws_cloudwatch_logs`, `read_replica`, `rsyslog`, `signalfx`, `kafka_logs`, `m3aggregator`,
`m3coordinator`, `prometheus`, `schema_registry_proxy` and `kafka_mirrormaker`.
:param pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaConnectUserConfigArgs']] kafka_connect_user_config: Kafka Connect specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaLogsUserConfigArgs']] kafka_logs_user_config: Kafka Logs specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationKafkaMirrormakerUserConfigArgs']] kafka_mirrormaker_user_config: Mirrormaker 2 integration specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationLogsUserConfigArgs']] logs_user_config: Log integration specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationM3aggregatorUserConfigArgs']] m3aggregator_user_config: M3 aggregator specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationM3coordinatorUserConfigArgs']] m3coordinator_user_config: M3 coordinator specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationMetricsUserConfigArgs']] metrics_user_config: Metrics specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationMirrormakerUserConfigArgs']] mirrormaker_user_config: Mirrormaker 1 integration specific user configurable settings
:param pulumi.Input[str] project: defines the project the integration belongs to.
:param pulumi.Input[pulumi.InputType['ServiceIntegrationPrometheusUserConfigArgs']] prometheus_user_config: Prometheus coordinator specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationReadReplicaUserConfigArgs']] read_replica_user_config: PG Read replica specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationRsyslogUserConfigArgs']] rsyslog_user_config: RSyslog specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationSchemaRegistryProxyUserConfigArgs']] schema_registry_proxy_user_config: Schema registry proxy specific user configurable settings
:param pulumi.Input[pulumi.InputType['ServiceIntegrationSignalfxUserConfigArgs']] signalfx_user_config: Signalfx specific user configurable settings
:param pulumi.Input[str] source_endpoint_id: or `source_service_name` - (Optional) identifies the source side of the integration. Only either
endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the source needs to be defined using the
reference syntax described above to set up the dependency correctly.
:param pulumi.Input[str] source_service_name: Source service for the integration (if any)
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _ServiceIntegrationState.__new__(_ServiceIntegrationState)
__props__.__dict__["dashboard_user_config"] = dashboard_user_config
__props__.__dict__["datadog_user_config"] = datadog_user_config
__props__.__dict__["destination_endpoint_id"] = destination_endpoint_id
__props__.__dict__["destination_service_name"] = destination_service_name
__props__.__dict__["external_aws_cloudwatch_logs_user_config"] = external_aws_cloudwatch_logs_user_config
__props__.__dict__["external_aws_cloudwatch_metrics_user_config"] = external_aws_cloudwatch_metrics_user_config
__props__.__dict__["external_elasticsearch_logs_user_config"] = external_elasticsearch_logs_user_config
__props__.__dict__["external_google_cloud_logging_user_config"] = external_google_cloud_logging_user_config
__props__.__dict__["integration_type"] = integration_type
__props__.__dict__["kafka_connect_user_config"] = kafka_connect_user_config
__props__.__dict__["kafka_logs_user_config"] = kafka_logs_user_config
__props__.__dict__["kafka_mirrormaker_user_config"] = kafka_mirrormaker_user_config
__props__.__dict__["logs_user_config"] = logs_user_config
__props__.__dict__["m3aggregator_user_config"] = m3aggregator_user_config
__props__.__dict__["m3coordinator_user_config"] = m3coordinator_user_config
__props__.__dict__["metrics_user_config"] = metrics_user_config
__props__.__dict__["mirrormaker_user_config"] = mirrormaker_user_config
__props__.__dict__["project"] = project
__props__.__dict__["prometheus_user_config"] = prometheus_user_config
__props__.__dict__["read_replica_user_config"] = read_replica_user_config
__props__.__dict__["rsyslog_user_config"] = rsyslog_user_config
__props__.__dict__["schema_registry_proxy_user_config"] = schema_registry_proxy_user_config
__props__.__dict__["signalfx_user_config"] = signalfx_user_config
__props__.__dict__["source_endpoint_id"] = source_endpoint_id
__props__.__dict__["source_service_name"] = source_service_name
return ServiceIntegration(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="dashboardUserConfig")
def dashboard_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationDashboardUserConfig']]:
"""
Dashboard specific user configurable settings
"""
return pulumi.get(self, "dashboard_user_config")
@property
@pulumi.getter(name="datadogUserConfig")
def datadog_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationDatadogUserConfig']]:
"""
Dashboard specific user configurable settings
"""
return pulumi.get(self, "datadog_user_config")
@property
@pulumi.getter(name="destinationEndpointId")
def destination_endpoint_id(self) -> pulumi.Output[Optional[str]]:
"""
or `destination_service_name` - (Required) identifies the target side of the integration.
Only either endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the target needs to be defined using the
reference syntax described above to set up the dependency correctly.
"""
return pulumi.get(self, "destination_endpoint_id")
@property
@pulumi.getter(name="destinationServiceName")
def destination_service_name(self) -> pulumi.Output[Optional[str]]:
"""
Destination service for the integration (if any)
"""
return pulumi.get(self, "destination_service_name")
@property
@pulumi.getter(name="externalAwsCloudwatchLogsUserConfig")
def external_aws_cloudwatch_logs_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationExternalAwsCloudwatchLogsUserConfig']]:
"""
External AWS Cloudwatch logs specific user configurable settings
"""
return pulumi.get(self, "external_aws_cloudwatch_logs_user_config")
@property
@pulumi.getter(name="externalAwsCloudwatchMetricsUserConfig")
def external_aws_cloudwatch_metrics_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationExternalAwsCloudwatchMetricsUserConfig']]:
"""
External AWS cloudwatch metrics specific user configurable settings
"""
return pulumi.get(self, "external_aws_cloudwatch_metrics_user_config")
@property
@pulumi.getter(name="externalElasticsearchLogsUserConfig")
def external_elasticsearch_logs_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationExternalElasticsearchLogsUserConfig']]:
"""
External Elasticsearch logs specific user configurable settings
"""
return pulumi.get(self, "external_elasticsearch_logs_user_config")
@property
@pulumi.getter(name="externalGoogleCloudLoggingUserConfig")
def external_google_cloud_logging_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationExternalGoogleCloudLoggingUserConfig']]:
"""
External Google Cloud Logging specific user configurable settings
"""
return pulumi.get(self, "external_google_cloud_logging_user_config")
@property
@pulumi.getter(name="integrationType")
def integration_type(self) -> pulumi.Output[str]:
"""
identifies the type of integration that is set up. Possible values include `dashboard`
, `datadog`, `logs`, `metrics`, `kafka_connect`, `external_google_cloud_logging`, `external_elasticsearch_logs`
`external_aws_cloudwatch_logs`, `read_replica`, `rsyslog`, `signalfx`, `kafka_logs`, `m3aggregator`,
`m3coordinator`, `prometheus`, `schema_registry_proxy` and `kafka_mirrormaker`.
"""
return pulumi.get(self, "integration_type")
@property
@pulumi.getter(name="kafkaConnectUserConfig")
def kafka_connect_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationKafkaConnectUserConfig']]:
"""
Kafka Connect specific user configurable settings
"""
return pulumi.get(self, "kafka_connect_user_config")
@property
@pulumi.getter(name="kafkaLogsUserConfig")
def kafka_logs_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationKafkaLogsUserConfig']]:
"""
Kafka Logs specific user configurable settings
"""
return pulumi.get(self, "kafka_logs_user_config")
@property
@pulumi.getter(name="kafkaMirrormakerUserConfig")
def kafka_mirrormaker_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationKafkaMirrormakerUserConfig']]:
"""
Mirrormaker 2 integration specific user configurable settings
"""
return pulumi.get(self, "kafka_mirrormaker_user_config")
@property
@pulumi.getter(name="logsUserConfig")
def logs_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationLogsUserConfig']]:
"""
Log integration specific user configurable settings
"""
return pulumi.get(self, "logs_user_config")
@property
@pulumi.getter(name="m3aggregatorUserConfig")
def m3aggregator_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationM3aggregatorUserConfig']]:
"""
M3 aggregator specific user configurable settings
"""
return pulumi.get(self, "m3aggregator_user_config")
@property
@pulumi.getter(name="m3coordinatorUserConfig")
def m3coordinator_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationM3coordinatorUserConfig']]:
"""
M3 coordinator specific user configurable settings
"""
return pulumi.get(self, "m3coordinator_user_config")
@property
@pulumi.getter(name="metricsUserConfig")
def metrics_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationMetricsUserConfig']]:
"""
Metrics specific user configurable settings
"""
return pulumi.get(self, "metrics_user_config")
@property
@pulumi.getter(name="mirrormakerUserConfig")
def mirrormaker_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationMirrormakerUserConfig']]:
"""
Mirrormaker 1 integration specific user configurable settings
"""
return pulumi.get(self, "mirrormaker_user_config")
@property
@pulumi.getter
def project(self) -> pulumi.Output[str]:
"""
defines the project the integration belongs to.
"""
return pulumi.get(self, "project")
@property
@pulumi.getter(name="prometheusUserConfig")
def prometheus_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationPrometheusUserConfig']]:
"""
Prometheus coordinator specific user configurable settings
"""
return pulumi.get(self, "prometheus_user_config")
@property
@pulumi.getter(name="readReplicaUserConfig")
def read_replica_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationReadReplicaUserConfig']]:
"""
PG Read replica specific user configurable settings
"""
return pulumi.get(self, "read_replica_user_config")
@property
@pulumi.getter(name="rsyslogUserConfig")
def rsyslog_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationRsyslogUserConfig']]:
"""
RSyslog specific user configurable settings
"""
return pulumi.get(self, "rsyslog_user_config")
@property
@pulumi.getter(name="schemaRegistryProxyUserConfig")
def schema_registry_proxy_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationSchemaRegistryProxyUserConfig']]:
"""
Schema registry proxy specific user configurable settings
"""
return pulumi.get(self, "schema_registry_proxy_user_config")
@property
@pulumi.getter(name="signalfxUserConfig")
def signalfx_user_config(self) -> pulumi.Output[Optional['outputs.ServiceIntegrationSignalfxUserConfig']]:
"""
Signalfx specific user configurable settings
"""
return pulumi.get(self, "signalfx_user_config")
@property
@pulumi.getter(name="sourceEndpointId")
def source_endpoint_id(self) -> pulumi.Output[Optional[str]]:
"""
or `source_service_name` - (Optional) identifies the source side of the integration. Only either
endpoint identifier (e.g. `aiven_service_integration_endpoint.XXX.id`) or service name (
e.g. `aiven_kafka.XXX.service_name`) must be specified. In either case the source needs to be defined using the
reference syntax described above to set up the dependency correctly.
"""
return pulumi.get(self, "source_endpoint_id")
@property
@pulumi.getter(name="sourceServiceName")
def source_service_name(self) -> pulumi.Output[Optional[str]]:
"""
Source service for the integration (if any)
"""
return pulumi.get(self, "source_service_name")
| 64.366979 | 222 | 0.746262 | 8,918 | 89,277 | 7.13983 | 0.03207 | 0.092504 | 0.06535 | 0.066842 | 0.959041 | 0.956481 | 0.955413 | 0.946461 | 0.941639 | 0.940524 | 0 | 0.001879 | 0.171186 | 89,277 | 1,386 | 223 | 64.41342 | 0.858637 | 0.318021 | 0 | 0.894402 | 1 | 0 | 0.282325 | 0.243725 | 0 | 0 | 0 | 0 | 0 | 1 | 0.167939 | false | 0.001272 | 0.008906 | 0 | 0.277354 | 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 |
69b3a0c174016f62c5a1487e31360c2d4f2ec634 | 1,030 | py | Python | TrainningApp/market/models.py | JacoboZabala/Frameworks_7A_2020B | a8834666551a6d615b94d1d38ddd1997781faaef | [
"MIT"
] | null | null | null | TrainningApp/market/models.py | JacoboZabala/Frameworks_7A_2020B | a8834666551a6d615b94d1d38ddd1997781faaef | [
"MIT"
] | null | null | null | TrainningApp/market/models.py | JacoboZabala/Frameworks_7A_2020B | a8834666551a6d615b94d1d38ddd1997781faaef | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
class Category(models.Model) :
code = models.CharField(max_length=100)
name = models.CharField(max_length=100)
status = models.BooleanField(default=True)
create_date = models.DateTimeField('Date creation')
update_date = models.DateTimeField('Date update')
class Seller(models.Model) :
code = models.CharField(max_length=1000)
name = models.CharField(max_length=100)
age = models.IntegerField(max_length=30)
class Buyers(models.Model) :
code = models.CharField(max_length=1000)
name = models.CharField(max_length=100)
age = models.IntegerField(max_length=30)
city = models.CharField(max_length=50)
class Admin(models.Model) :
code = models.CharField(max_length=1000)
name = models.CharField(max_length=100)
age = models.IntegerField(max_length=30)
status = models.BooleanField(default=True)
create_date = models.DateTimeField('Date creation')
update_date = models.DateTimeField('Date update') | 35.517241 | 59 | 0.733981 | 131 | 1,030 | 5.648855 | 0.259542 | 0.145946 | 0.218919 | 0.291892 | 0.839189 | 0.835135 | 0.793243 | 0.740541 | 0.740541 | 0.740541 | 0 | 0.040276 | 0.156311 | 1,030 | 29 | 59 | 35.517241 | 0.811277 | 0.023301 | 0 | 0.695652 | 0 | 0 | 0.047761 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.043478 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 9 |
38853f33b344b4b4b265da7dac34ccf6390e7d8f | 269 | py | Python | ex42.py | phyu-lay/python_exercises | fa0b81b20f445b27d4460534caf7ef5137b07c63 | [
"MIT"
] | null | null | null | ex42.py | phyu-lay/python_exercises | fa0b81b20f445b27d4460534caf7ef5137b07c63 | [
"MIT"
] | null | null | null | ex42.py | phyu-lay/python_exercises | fa0b81b20f445b27d4460534caf7ef5137b07c63 | [
"MIT"
] | null | null | null | class Animal(object):
pass
class Dog(Animal):
def__init__(self, name):
self.name = name
class Cat(Animal):
def__init__(self, name):
self.name = name
class Person(object):
def__init__(self, name):
self.name = name
| 22.416667 | 36 | 0.591078 | 34 | 269 | 4.323529 | 0.323529 | 0.326531 | 0.22449 | 0.306122 | 0.70068 | 0.70068 | 0.70068 | 0.517007 | 0.517007 | 0 | 0 | 0 | 0.297398 | 269 | 11 | 37 | 24.454545 | 0.777778 | 0 | 0 | 0.545455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.090909 | 0 | null | null | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
38867eb361c12c0ebd4864ec423ecfec69bec8e7 | 13,693 | py | Python | matbal/mbal.py | jikutlenova/pyreservoir | fb5bb5f408265da060859550ec16daf3b7a1c543 | [
"MIT"
] | 1 | 2020-09-18T14:33:14.000Z | 2020-09-18T14:33:14.000Z | matbal/mbal.py | jikutlenova/pyreservoir | fb5bb5f408265da060859550ec16daf3b7a1c543 | [
"MIT"
] | null | null | null | matbal/mbal.py | jikutlenova/pyreservoir | fb5bb5f408265da060859550ec16daf3b7a1c543 | [
"MIT"
] | null | null | null | """
Material Balance Plots
@author: Yohanes Nuwara
@email: ign.nuwara97@gmail.com
"""
class drygas():
"""
Dry-Gas Material Balance Plot
"""
def calculate_params(self, p, Bg, Gp, cf, cw, swi):
"""Calculate Material Balance Paramaters for Dry-Gas Reservoir"""
import numpy as np
pi = p[0]
Bgi = Bg[0]
# total gas FVF equals the gas FVF itself (for dry-gas)
Btg = Bg
# calculate Efw
Efw = ((cf + cw * swi) / (1 - swi)) * (pi - p)
F = []; Eg = []
for i in range(len(p)):
F_ = Bg[i] * Gp[i]
Eg_ = Btg[i] - Bgi
F.append(F_); Eg.append(Eg_)
F = np.array(F); Eg = np.array(Eg)
return F, Btg, Efw, Eg
def plot(self, p, z, Gp, F, Btg, Efw, Eg):
"""Create Material Balance Plots for Dry-Gas Reservoir"""
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
# plot attributes
title_size = 12
title_pad = 10
# linear function for curve-fit
def linear_zero_intercept(x, m):
y = m * x
return y
def linear_with_intercept(x, m, c):
y = m * x + c
return y
# Plot 1: F vs Eg
plt.subplot(3,2,1)
x1, y1 = Eg, F
plt.plot(x1, y1, '.-')
plt.title('Plot 1: F vs Eg', size=title_size, pad=title_pad)
plt.xlabel('Eg (RB/scf)')
plt.ylabel('F (res ft3)')
## curve-fitting to calculate the slope as OGIP
x1_norm = x1 / max(x1) # normalize x
y1_norm = y1 / max(y1) # normalize y
popt, pcov = curve_fit(linear_zero_intercept, x1_norm, y1_norm)
m = popt[0]
Gfgi = m * max(y1) / max(x1) # denormalize the slope, hence the OGIP
## plot the regression line
x1_fit = np.linspace(min(x1), max(x1), 5)
y1_fit = linear_zero_intercept(x1_fit, Gfgi)
plt.plot(x1_fit, y1_fit, label='{} MMSCF'.format(np.round(Gfgi * 1E-6, 3)))
plt.legend()
# Plot 2: p/z vs Gp
plt.subplot(3,2,2)
x2, y2 = Gp, (p / z)
plt.plot(x2, y2, '.-')
plt.title('Plot 2: p/z vs Gp', size=title_size, pad=title_pad)
plt.xlabel('Gp (scf)')
plt.ylabel('p/z (psia)')
## curve-fitting to calculate the slope as OGIP
x2_norm = x2 / max(x2) # normalize x
y2_norm = y2 / max(y2) # normalize y
popt, pcov = curve_fit(linear_with_intercept, x2_norm, y2_norm)
m, c = popt[0], popt[1]
Gfgi = (-c / m) * max(x2) # OGIP is the intercept at x-axis, and denormalized
m = m * max(y2) / max(x2) # denormalize the slope
c = c * max(y2) # denormalize the intercept
## plot the regression line
x2_fit = np.linspace(min(x2), max(x2), 5)
y2_fit = linear_with_intercept(x2_fit, m, c)
plt.plot(x2_fit, y2_fit, label='{} MMSCF'.format(np.round(Gfgi * 1E-6, 3)))
plt.legend()
# Plot 3: F/Eg vs Gp
plt.subplot(3,2,3)
x3, y3 = Gp, (F / Eg)
plt.plot(x3, y3, '.-')
plt.title('Plot 3: Waterdrive Diagnostic Plot', size=title_size, pad=title_pad)
plt.xlabel('Gp (scf)')
plt.ylabel('F/Eg (scf)')
## curve-fitting to calculate the slope as OGIP, here [1:] because NaN is removed
x3_norm = x3[1:] / max(x3[1:]) # normalize x
y3_norm = y3[1:] / max(y3[1:]) # normalize y
popt, pcov = curve_fit(linear_with_intercept, x3_norm, y3_norm)
m, c = popt[0], popt[1]
m = m * max(y3[1:]) / max(x3[1:]) # denormalize the slope
Gfgi = c * max(y3[1:]) # denormalize the intercept, hence the OGIP
## plot the regression line
x3_fit = np.linspace(min(x3[1:]), max(x3[1:]), 5)
y3_fit = linear_with_intercept(x3_fit, m, Gfgi)
plt.plot(x3_fit, y3_fit, label='{} MMSCF'.format(np.round(Gfgi * 1E-6, 3)))
plt.legend()
# Plot 6: F vs (Eg+Bgi*Efw)
plt.subplot(3,2,4)
Bgi = Btg[0]
x6, y6 = (Eg + Bgi * Efw), F
plt.plot(x6, y6, '.-')
plt.title('Plot 6: F vs (Eg+Bgi*Efw)', size=title_size, pad=title_pad)
plt.xlabel('Eg+Bgi*Efw (res ft3/scf)')
plt.ylabel('F (res ft3)')
## curve-fitting to calculate the slope as OGIP
x6_norm = x6 / max(x6) # normalize x
y6_norm = y6 / max(y6) # normalize y
popt, pcov = curve_fit(linear_zero_intercept, x6_norm, y6_norm)
m = popt[0]
Gfgi = m * max(y6) / max(x6) # denormalize the slope, hence the OGIP
## plot the regression line
x6_fit = np.linspace(min(x6), max(x6), 5)
y6_fit = linear_zero_intercept(x6_fit, Gfgi)
plt.plot(x6_fit, y6_fit, label='{} MMSCF'.format(np.round(Gfgi * 1E-6, 3)))
plt.legend()
# Plot 7: ((p/z)*(1-Efw)) vs Gp
plt.subplot(3,2,5)
x7, y7 = Gp, ((p / z) * (1 - Efw))
plt.plot(x7, y7, '.-')
plt.title('Plot 7: ((p/z)*(1-Efw)) vs Gp', size=title_size, pad=title_pad)
plt.xlabel('Gp (scf)')
plt.ylabel('(p/z)*(1-Efw) (psia)')
## curve-fitting to calculate the slope as OGIP
x7_norm = x7 / max(x7) # normalize x
y7_norm = y7 / max(y7) # normalize y
popt, pcov = curve_fit(linear_with_intercept, x7_norm, y7_norm)
m, c = popt[0], popt[1]
Gfgi = (-c / m) * max(x7) # OGIP is the intercept at x-axis, and denormalized
m = m * max(y7) / max(x7) # denormalize the slope
c = c * max(y7) # denormalize the intercept
## plot the regression line
x7_fit = np.linspace(min(x7), max(x7), 5)
y7_fit = linear_with_intercept(x7_fit, m, c)
plt.plot(x7_fit, y7_fit, label='{} MMSCF'.format(np.round(Gfgi * 1E-6, 3)))
plt.legend()
plt.tight_layout(pad=1.5)
plt.show()
return F, Eg, Efw
class gascondensate():
"""
Gas-Condensate Material Balance Plot
"""
def calculate_params(self, p, pdew, Bg, Bo, Np, Gp, Gi, cf, cw, swi, Rs, Rv):
"""Calculate Material Balance Paramaters for Gas-Condensate Reservoir"""
import numpy as np
pi = p[0]
Rvi = Rv[0]
Bgi = Bg[0]
# calculate Efw
Efw = ((cf + cw * swi) / (1 - swi)) * (pi - p)
# calculate F and Btg
F = []; Btg = []; Eg = []
for i in range(len(p)):
if p[i] >= pdew:
# gas-condensate above dewpoint pressure
F_ = Bg[i] * Gp[i]
Btg_ = Bg[i]
Eg_ = Btg_ - Bgi
if p[i] < pdew:
# gas-condensate below dewpoint pressure
F_ = (Np[i] * ((Bo[i] - (Rs[i] * Bg[i])) / (1 - (Rv[i] * Rs[i])))) + ((Gp[i] - Gi[i]) * ((Bg[i] - (Rv[i] * Bo[i])) / (1 - (Rv[i] * Rs[i]))))
Btg_ = ((Bg[i] * (1 - (Rs[i] * Rvi))) + (Bo[i] * (Rvi - Rv[i]))) / (1 - (Rv[i] * Rs[i])) # in RB/STB
Eg_ = Btg_ - Bgi
F.append(F_); Btg.append(Btg_); Eg.append(Eg_)
F, Btg, Eg = np.array(F), np.array(Btg), np.array(Eg)
return F, Btg, Efw, Eg
def plot(self, p, z, Gp, F, Btg, Efw, Eg, Rv):
"""Create Material Balance Plots for Dry-Gas Reservoir"""
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
def calculate_condensate_inplace(Gfgi, Rv):
"""Calculate initial condensate-in-place from the calculated OGIP"""
Rvi = Rv[0]
condensate_inplace = Rvi * Gfgi # in STB
return condensate_inplace
# plot attributes
title_size = 12
title_pad = 10
# linear function for curve-fit
def linear_zero_intercept(x, m):
y = m * x
return y
def linear_with_intercept(x, m, c):
y = m * x + c
return y
# Plot 1: F vs Eg
plt.subplot(3,2,1)
x1, y1 = Eg, F
plt.plot(x1, y1, '.-')
plt.title('Plot 1: F vs Eg', size=title_size, pad=title_pad)
plt.xlabel('Eg (RB/scf)')
plt.ylabel('F (res ft3)')
## curve-fitting to calculate the slope as OGIP
x1_norm = x1 / max(x1) # normalize x
y1_norm = y1 / max(y1) # normalize y
popt, pcov = curve_fit(linear_zero_intercept, x1_norm, y1_norm)
m = popt[0]
Gfgi = m * max(y1) / max(x1) # denormalize the slope, hence the OGIP
## calculate condensate-in-place
condensate_inplace = calculate_condensate_inplace(Gfgi, Rv)
## plot the regression line
x1_fit = np.linspace(min(x1), max(x1), 5)
y1_fit = linear_zero_intercept(x1_fit, Gfgi)
plt.plot(x1_fit, y1_fit, label='(G) {} MMSCF (C) {} MSTB'.format(np.round(Gfgi * 1E-6, 3), np.round(condensate_inplace * 1E-3, 3)))
plt.legend()
# Plot 2: p/z vs Gp
plt.subplot(3,2,2)
plt.title('Plot 2: p/z vs Gp', size=title_size, pad=title_pad)
plt.xlabel('Gp (scf)')
plt.ylabel('p/z (psia)')
if np.all(z==0) == False:
x2, y2 = Gp, (p / z)
plt.plot(x2, y2, '.-')
## curve-fitting to calculate the slope as OGIP
x2_norm = x2 / max(x2) # normalize x
y2_norm = y2 / max(y2) # normalize y
popt, pcov = curve_fit(linear_with_intercept, x2_norm, y2_norm)
m, c = popt[0], popt[1]
Gfgi = (-c / m) * max(x2) # OGIP is the intercept at x-axis, and denormalized
m = m * max(y2) / max(x2) # denormalize the slope
c = c * max(y2) # denormalize the intercept
## calculate condensate-in-place
condensate_inplace = calculate_condensate_inplace(Gfgi, Rv)
## plot the regression line
x2_fit = np.linspace(min(x2), max(x2), 5)
y2_fit = linear_with_intercept(x2_fit, m, c)
plt.plot(x2_fit, y2_fit, label='(G) {} MMSCF (C) {} MSTB'.format(np.round(Gfgi * 1E-6, 3), np.round(condensate_inplace * 1E-3, 3)))
plt.legend()
# Plot 3: F/Eg vs Gp
plt.subplot(3,2,3)
x3, y3 = Gp, (F / Eg)
plt.plot(x3, y3, '.-')
plt.title('Plot 3: Waterdrive Diagnostic Plot', size=title_size, pad=title_pad)
plt.xlabel('Gp (scf)')
plt.ylabel('F/Eg (scf)')
## curve-fitting to calculate the slope as OGIP, here [1:] because NaN is removed
x3_norm = x3[1:] / max(x3[1:]) # normalize x
y3_norm = y3[1:] / max(y3[1:]) # normalize y
popt, pcov = curve_fit(linear_with_intercept, x3_norm, y3_norm)
m, c = popt[0], popt[1]
m = m * max(y3[1:]) / max(x3[1:]) # denormalize the slope
Gfgi = c * max(y3[1:]) # denormalize the intercept, hence the OGIP
## calculate condensate-in-place
condensate_inplace = calculate_condensate_inplace(Gfgi, Rv)
## plot the regression line
x3_fit = np.linspace(min(x3[1:]), max(x3[1:]), 5)
y3_fit = linear_with_intercept(x3_fit, m, Gfgi)
plt.plot(x3_fit, y3_fit, label='(G) {} MMSCF (C) {} MSTB'.format(np.round(Gfgi * 1E-6, 3), np.round(condensate_inplace * 1E-3, 3)))
plt.legend()
# Plot 6: F vs (Eg+Bgi*Efw)
plt.subplot(3,2,4)
Bgi = Btg[0]
x6, y6 = (Eg + Bgi * Efw), F
plt.plot(x6, y6, '.-')
plt.title('Plot 6: F vs (Eg+Bgi*Efw)', size=title_size, pad=title_pad)
plt.xlabel('Eg+Bgi*Efw (res ft3/scf)')
plt.ylabel('F (res ft3)')
## curve-fitting to calculate the slope as OGIP
x6_norm = x6 / max(x6) # normalize x
y6_norm = y6 / max(y6) # normalize y
popt, pcov = curve_fit(linear_zero_intercept, x6_norm, y6_norm)
m = popt[0]
Gfgi = m * max(y6) / max(x6) # denormalize the slope, hence the OGIP
## calculate condensate-in-place
condensate_inplace = calculate_condensate_inplace(Gfgi, Rv)
## plot the regression line
x6_fit = np.linspace(min(x6), max(x6), 5)
y6_fit = linear_zero_intercept(x6_fit, Gfgi)
plt.plot(x6_fit, y6_fit, label='(G) {} MMSCF (C) {} MSTB'.format(np.round(Gfgi * 1E-6, 3), np.round(condensate_inplace * 1E-3, 3)))
plt.legend()
# Plot 7: ((p/z)*(1-Efw)) vs Gp
plt.subplot(3,2,5)
plt.title('Plot 7: ((p/z)*(1-Efw)) vs Gp', size=title_size, pad=title_pad)
plt.xlabel('Gp (scf)')
plt.ylabel('(p/z)*(1-Efw) (psia)')
if np.all(z==0) == False:
x7, y7 = Gp, ((p / z) * (1 - Efw))
plt.plot(x7, y7, '.-')
## curve-fitting to calculate the slope as OGIP
x7_norm = x7 / max(x7) # normalize x
y7_norm = y7 / max(y7) # normalize y
popt, pcov = curve_fit(linear_with_intercept, x7_norm, y7_norm)
m, c = popt[0], popt[1]
Gfgi = (-c / m) * max(x7) # OGIP is the intercept at x-axis, and denormalized
m = m * max(y7) / max(x7) # denormalize the slope
c = c * max(y7) # denormalize the intercept
## calculate condensate-in-place
condensate_inplace = calculate_condensate_inplace(Gfgi, Rv)
## plot the regression line
x7_fit = np.linspace(min(x7), max(x7), 5)
y7_fit = linear_with_intercept(x7_fit, m, c)
plt.plot(x7_fit, y7_fit, label='(G) {} MMSCF (C) {} MSTB'.format(np.round(Gfgi * 1E-6, 3), np.round(condensate_inplace * 1E-3, 3)))
plt.legend()
plt.tight_layout(pad=1.5)
plt.show()
return F, Eg, Efw
| 36.80914 | 156 | 0.537063 | 2,048 | 13,693 | 3.484863 | 0.078613 | 0.019616 | 0.037271 | 0.03699 | 0.919854 | 0.903461 | 0.894213 | 0.885526 | 0.864649 | 0.859325 | 0 | 0.043353 | 0.317754 | 13,693 | 371 | 157 | 36.908356 | 0.720617 | 0.202731 | 0 | 0.864979 | 0 | 0 | 0.061622 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037975 | false | 0 | 0.033755 | 0 | 0.118143 | 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 |
38ba8bb6b06a6d996f1843b5202cbf63291bc394 | 111 | py | Python | autorop/libc/__init__.py | mariuszskon/autorop | 5735073008f722fab00f3866ef4a05f04620593b | [
"MIT"
] | 15 | 2020-10-03T05:20:31.000Z | 2022-03-20T06:19:29.000Z | autorop/libc/__init__.py | mariuszskon/autorop | 5735073008f722fab00f3866ef4a05f04620593b | [
"MIT"
] | 8 | 2020-10-02T09:51:39.000Z | 2021-04-24T03:14:18.000Z | autorop/libc/__init__.py | mariuszskon/autorop | 5735073008f722fab00f3866ef4a05f04620593b | [
"MIT"
] | 2 | 2021-04-16T06:33:49.000Z | 2021-09-03T09:21:10.000Z | from autorop.libc.Auto import Auto
from autorop.libc.Rip import Rip
from autorop.libc.Database import Database
| 27.75 | 42 | 0.837838 | 18 | 111 | 5.166667 | 0.388889 | 0.354839 | 0.483871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108108 | 111 | 3 | 43 | 37 | 0.939394 | 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 |
38c6640d6c476c2dc2cc5d403e5d2036266a3999 | 2,666 | py | Python | examples/torch_graph.py | eddy-ilg/itypes | eaf1c4a86576c77caa34148c0fdc6b2e012119ff | [
"MIT"
] | null | null | null | examples/torch_graph.py | eddy-ilg/itypes | eaf1c4a86576c77caa34148c0fdc6b2e012119ff | [
"MIT"
] | null | null | null | examples/torch_graph.py | eddy-ilg/itypes | eaf1c4a86576c77caa34148c0fdc6b2e012119ff | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import torch
from copy import copy, deepcopy
#
# This example illustrates when torch builds a gradient graph,
# how it can be prevented, and when torch shares or copies tensor
# data
def print_sep():
print()
print("---------------------------------------------------------------")
print()
print_sep()
x = torch.tensor([1.0, 2.0, 3.0], requires_grad=True)
print(f'{"x = torch.tensor([1.0, 2.0, 3.0], requires_grad=True):":55}', x)
y = x.clone()
print(f'{"y = x.clone():":55}', y)
z = y.detach()
print(f'{"z = y.detach():":55}', z)
print()
print("x[1] = 0 is not possible because x is a leaf variable that requires gradient.")
print("Note that z does not require a gradient as it was detached.")
print()
y[1] = 0
print("After y[1] = 0:")
print(f'{"x = ":55}', x)
print(f'{"y = ":55}', y)
print(f'{"z = ":55}', z)
print()
z[1] = 5
print("After z[1] = 5:")
print(f'{"x = ":55}', x)
print(f'{"y = ":55}', y)
print(f'{"z = ":55}', z)
print_sep()
x = torch.tensor([1.0, 2.0, 3.0], requires_grad=True)
print(f'{"x = torch.tensor([1.0, 2.0, 3.0], requires_grad=True):":55}', x)
y = copy(x)
print(f'{"y = copy(x):":55}', y)
print()
print("x[1] = 0 is not possible because x is a leaf variable that requires gradient.")
print("y[1] = 0 is not possible because y is a leaf variable that requires gradient.")
print("Note that y is a second leaf node (not a child of x as previously).")
print_sep()
x = torch.tensor([1.0, 2.0, 3.0], requires_grad=True)
print(f'{"x = torch.tensor([1.0, 2.0, 3.0], requires_grad=True):":55}', x)
y = deepcopy(x)
print(f'{"y = deepcopy(x):":55}', y)
print()
print("x[1] = 0 is not possible because x is a leaf variable that requires gradient.")
print("y[1] = 0 is not possible because y is a leaf variable that requires gradient.")
print("Note that y is a second leaf node (not a child of x as previously).")
print_sep()
x = torch.tensor([1.0, 2.0, 3.0])
print("requires_grad = False by default")
print()
print(f'{"x = torch.tensor([1.0, 2.0, 3.0]):":55}', x)
y = copy(x)
print(f'{"y = copy(x):":55}', y)
print()
x[1] = 0
print("After x[1] = 0:")
print(f'{"x = ":55}', x)
print(f'{"y = ":55}', y)
print()
y[1] = 5
print("After y[1] = 5:")
print(f'{"x = ":55}', x)
print(f'{"y = ":55}', y)
print_sep()
x = torch.tensor([1.0, 2.0, 3.0])
print("requires_grad = False by default")
print()
print(f'{"x = torch.tensor([1.0, 2.0, 3.0]):":55}', x)
y = deepcopy(x)
print(f'{"y = deepcopy(x):":55}', y)
print()
x[1] = 0
print("After x[1] = 0:")
print(f'{"x = ":55}', x)
print(f'{"y = ":55}', y)
print()
y[1] = 5
print("After y[1] = 5:")
print(f'{"x = ":55}', x)
print(f'{"y = ":55}', y)
print_sep()
| 23.803571 | 86 | 0.582146 | 505 | 2,666 | 3.043564 | 0.134653 | 0.097593 | 0.050098 | 0.08458 | 0.802212 | 0.802212 | 0.802212 | 0.802212 | 0.802212 | 0.802212 | 0 | 0.064617 | 0.15829 | 2,666 | 111 | 87 | 24.018018 | 0.620321 | 0.056639 | 0 | 0.839506 | 0 | 0.061728 | 0.534476 | 0.055002 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012346 | false | 0 | 0.024691 | 0 | 0.037037 | 0.765432 | 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 | 1 | 0 | 8 |
38d1e1bd8c199243464644f193cf71c3f3a73a56 | 255 | py | Python | hxlm/plugin/xa_humanitarian/sensitive.py | EticaAI/HXL-Data-Science-file-formats | c7c5aa56c452ac1613242ee04cc9ae66f38ec24d | [
"Unlicense"
] | 3 | 2021-01-25T20:44:10.000Z | 2021-04-19T22:47:05.000Z | hxlm/plugin/xa_humanitarian/sensitive.py | fititnt/HXL-Data-Science-file-formats | f4fe9866e53280767f9cb4c8c488ef9c8b9d33cd | [
"Unlicense"
] | 24 | 2021-01-26T00:36:39.000Z | 2021-11-13T23:59:56.000Z | hxlm/plugin/xa_humanitarian/sensitive.py | fititnt/HXL-Data-Science-file-formats | f4fe9866e53280767f9cb4c8c488ef9c8b9d33cd | [
"Unlicense"
] | 1 | 2021-09-05T03:43:37.000Z | 2021-09-05T03:43:37.000Z | # TODO: https://centre.humdata.org/introducing-the-working-draft-of-the-ocha-data-responsibility-guidelines/
# TODO: https://centre.humdata.org/wp-content/uploads/2019/03/OCHA-DR-Guidelines-working-draft-032019.pdf
def hello():
print('hello')
| 36.428571 | 109 | 0.745098 | 36 | 255 | 5.277778 | 0.694444 | 0.094737 | 0.157895 | 0.231579 | 0.263158 | 0 | 0 | 0 | 0 | 0 | 0 | 0.051282 | 0.082353 | 255 | 6 | 110 | 42.5 | 0.760684 | 0.823529 | 0 | 0 | 0 | 0 | 0.138889 | 0 | 0 | 0 | 0 | 0.166667 | 0 | 1 | 0.5 | true | 0 | 0 | 0 | 0.5 | 0.5 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
2a25246f0dac17e0dec42ba3cc43cbb358d4ac4a | 411 | py | Python | Platforms/Web/Processing/Api/Account/__init__.py | The-CJ/Phaazebot | 83a9563d210718071d4e2cdcca3b212c87abaf51 | [
"MIT"
] | 2 | 2017-09-14T08:07:55.000Z | 2021-05-18T05:05:05.000Z | Platforms/Web/Processing/Api/Account/__init__.py | The-CJ/Phaazebot | 83a9563d210718071d4e2cdcca3b212c87abaf51 | [
"MIT"
] | 111 | 2018-04-15T14:32:14.000Z | 2021-03-28T21:06:29.000Z | Platforms/Web/Processing/Api/Account/__init__.py | The-CJ/Phaazebot | 83a9563d210718071d4e2cdcca3b212c87abaf51 | [
"MIT"
] | 1 | 2018-04-15T13:24:44.000Z | 2018-04-15T13:24:44.000Z | import Platforms.Web.Processing.Api.Account.create as create
import Platforms.Web.Processing.Api.Account.edit as edit
import Platforms.Web.Processing.Api.Account.errors as errors
import Platforms.Web.Processing.Api.Account.get as get
import Platforms.Web.Processing.Api.Account.login as login
import Platforms.Web.Processing.Api.Account.logout as logout
import Platforms.Web.Processing.Api.Account.main as main
| 51.375 | 60 | 0.846715 | 63 | 411 | 5.52381 | 0.222222 | 0.301724 | 0.362069 | 0.563218 | 0.764368 | 0.764368 | 0 | 0 | 0 | 0 | 0 | 0 | 0.068127 | 411 | 7 | 61 | 58.714286 | 0.908616 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
2a2e6485addcac2bdd8fee6271f68d9167db181b | 117 | py | Python | checkov/terraform/checks/data/__init__.py | peaudecastor/checkov | a4804b61c1b1390b7abd44ab53285fcbc3e7e80b | [
"Apache-2.0"
] | null | null | null | checkov/terraform/checks/data/__init__.py | peaudecastor/checkov | a4804b61c1b1390b7abd44ab53285fcbc3e7e80b | [
"Apache-2.0"
] | null | null | null | checkov/terraform/checks/data/__init__.py | peaudecastor/checkov | a4804b61c1b1390b7abd44ab53285fcbc3e7e80b | [
"Apache-2.0"
] | null | null | null | from checkov.terraform.checks.data.aws import * # noqa
from checkov.terraform.checks.data.external import * # noqa
| 39 | 60 | 0.777778 | 16 | 117 | 5.6875 | 0.5625 | 0.241758 | 0.43956 | 0.571429 | 0.659341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119658 | 117 | 2 | 61 | 58.5 | 0.883495 | 0.076923 | 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 |
aac86b7b4c7c973276391b5bba878d1583b589b1 | 3,681 | py | Python | src/data_match/parse_test.py | Verdex/dross | 9fe0c839d3e89d343be418c7154bb665bfd75225 | [
"MIT"
] | null | null | null | src/data_match/parse_test.py | Verdex/dross | 9fe0c839d3e89d343be418c7154bb665bfd75225 | [
"MIT"
] | null | null | null | src/data_match/parse_test.py | Verdex/dross | 9fe0c839d3e89d343be418c7154bb665bfd75225 | [
"MIT"
] | null | null | null | import unittest
from .matching import *
from .parse import *
class ParseTest(unittest.TestCase):
def test_parse_matcher_should_generate_match_any_string(self):
output = parse_matcher(".").matchers
self.assertEqual(len(output), 1)
self.assertTrue(type(output[0]) is MatchAnyString)
def test_parse_matcher_should_generate_match_until_end(self):
output = parse_matcher("*").matchers
self.assertEqual(len(output), 1)
self.assertTrue(type(output[0]) is MatchUntilEnd)
def test_parse_matcher_should_generate_capture_string(self):
output = parse_matcher("String").matchers
self.assertEqual(len(output), 1)
self.assertTrue(type(output[0]) is CaptureString)
self.assertEqual(output[0].capture_name, "String")
def test_parse_matcher_should_generate_match_string_with_value(self):
output = parse_matcher("string").matchers
self.assertEqual(len(output), 1)
self.assertTrue(type(output[0]) is MatchStringWithValue)
self.assertEqual(output[0].value, "string")
def test_parse_matcher_should_generate_match_data_with_name(self):
output = parse_matcher("string()").matchers
self.assertEqual(len(output), 1)
self.assertTrue(type(output[0]) is MatchDataWithName)
self.assertEqual(output[0].target_name, "string")
def test_parse_matcher_should_generate_capture_data(self):
output = parse_matcher("String()").matchers
self.assertEqual(len(output), 1)
self.assertTrue(type(output[0]) is CaptureData)
self.assertEqual(output[0].capture_name, "String")
def test_parse_matcher_should_generate_capture_data_with_sub_matchers(self):
output = parse_matcher("String(a, ., X(), a(), *)").matchers
self.assertEqual(len(output), 1)
self.assertTrue(type(output[0]) is CaptureData)
self.assertEqual(output[0].capture_name, "String")
self.assertEqual(len(output[0].sub_matchers), 5)
self.assertTrue(type(output[0].sub_matchers[0]) is MatchStringWithValue)
self.assertTrue(type(output[0].sub_matchers[1]) is MatchAnyString)
self.assertTrue(type(output[0].sub_matchers[2]) is CaptureData)
self.assertTrue(type(output[0].sub_matchers[3]) is MatchDataWithName)
self.assertTrue(type(output[0].sub_matchers[4]) is MatchUntilEnd)
def test_parse_matcher_should_generate_match_data_with_name_with_sub_matchers(self):
output = parse_matcher("string(a, ., X(), a(), *)").matchers
self.assertEqual(len(output), 1)
self.assertTrue(type(output[0]) is MatchDataWithName)
self.assertEqual(output[0].target_name, "string")
self.assertEqual(len(output[0].sub_matchers), 5)
self.assertTrue(type(output[0].sub_matchers[0]) is MatchStringWithValue)
self.assertTrue(type(output[0].sub_matchers[1]) is MatchAnyString)
self.assertTrue(type(output[0].sub_matchers[2]) is CaptureData)
self.assertTrue(type(output[0].sub_matchers[3]) is MatchDataWithName)
self.assertTrue(type(output[0].sub_matchers[4]) is MatchUntilEnd)
def test_parse_matcher_should_parse_multiple_matchers(self):
output = parse_matcher("string(1,2,3), ., string, String, *").matchers
self.assertEqual(len(output), 5)
self.assertTrue(type(output[0]) is MatchDataWithName)
self.assertTrue(type(output[1]) is MatchAnyString)
self.assertTrue(type(output[2]) is MatchStringWithValue)
self.assertTrue(type(output[3]) is CaptureString)
self.assertTrue(type(output[4]) is MatchUntilEnd)
if __name__ == '__main__':
unittest.main() | 48.434211 | 88 | 0.706058 | 459 | 3,681 | 5.440087 | 0.108932 | 0.075691 | 0.165799 | 0.221065 | 0.888666 | 0.883861 | 0.827393 | 0.777733 | 0.735683 | 0.735683 | 0 | 0.018015 | 0.170606 | 3,681 | 76 | 89 | 48.434211 | 0.799869 | 0 | 0 | 0.46875 | 1 | 0 | 0.043183 | 0 | 0 | 0 | 0 | 0 | 0.625 | 1 | 0.140625 | false | 0 | 0.046875 | 0 | 0.203125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
2afc12b718ee5320ea23384f5dbd0f8e8c3cc35c | 48,665 | py | Python | app/grafana/dashboard.py | zephyrxvxx7/KubeZephyr-Backend | 242410bc236e1f7204c24d635eb3346b0c256dc8 | [
"MIT"
] | 2 | 2021-04-25T01:49:45.000Z | 2021-11-25T09:10:40.000Z | app/grafana/dashboard.py | zephyrxvxx7/KubeZephyr-Backend | 242410bc236e1f7204c24d635eb3346b0c256dc8 | [
"MIT"
] | null | null | null | app/grafana/dashboard.py | zephyrxvxx7/KubeZephyr-Backend | 242410bc236e1f7204c24d635eb3346b0c256dc8 | [
"MIT"
] | null | null | null | import requests
from app.models.user import User
from app.core.config import GRAFANA_API_KEY, GRAFANA_SERVER
headers = {'Authorization': f"Bearer {GRAFANA_API_KEY}", 'Content-Type': 'application/json'}
def create_dashboard(json: dict):
return requests.post(f"{GRAFANA_SERVER}/api/dashboards/db", json=json, headers=headers)
def update_dashboard(json: dict):
return requests.post(f"{GRAFANA_SERVER}/api/dashboards/db", json=json, headers=headers)
def delete_dashboard_by_uid(uid: str):
return requests.delete(f"{GRAFANA_SERVER}/api/dashboards/uid/{uid}", headers=headers)
def generate_pod_dashboard_with_alert(user: User, pod_name: str):
notifications_channel = namespace = str(user.id)
return {
'dashboard': {
'description': 'This dashboard is auto-generated by KubeZephyr. PLEASE DO NOT MODIFY',
'panels': [
{
'collapsed': False,
'datasource': None,
'gridPos': {'h': 1, 'w': 24, 'x': 0, 'y': 0},
'id': 34,
'panels': [],
'repeat': None,
'title': 'Dashboard',
'type': 'row',
},
{
'datasource': 'Prometheus',
'fieldConfig': {
'defaults': {
'color': {'mode': 'thresholds'},
'mappings': [],
'thresholds': {
'mode': 'absolute',
'steps': [{'color': 'green', 'value': None}],
},
},
'overrides': [
{
'matcher': {'id': 'byName', 'options': 'Failed'},
'properties': [
{
'id': 'thresholds',
'value': {
'mode': 'absolute',
'steps': [
{'color': 'green', 'value': None},
{'color': 'semi-dark-red', 'value': 1},
],
},
},
{
'id': 'mappings',
'value': [
{
'from': '',
'id': 1,
'text': 'Failed',
'to': '',
'type': 1,
'value': '1',
}
],
},
],
},
{
'matcher': {'id': 'byName', 'options': 'Pending'},
'properties': [
{
'id': 'thresholds',
'value': {
'mode': 'absolute',
'steps': [
{'color': 'green', 'value': None},
{'color': 'light-orange', 'value': 1},
],
},
},
{
'id': 'mappings',
'value': [
{
'from': '',
'id': 1,
'text': 'Pending',
'to': '',
'type': 1,
'value': '1',
}
],
},
],
},
{
'matcher': {'id': 'byName', 'options': 'Running'},
'properties': [
{
'id': 'thresholds',
'value': {
'mode': 'absolute',
'steps': [
{'color': 'green', 'value': None},
{'color': 'light-green', 'value': 1},
],
},
},
{
'id': 'mappings',
'value': [
{
'from': '',
'id': 1,
'text': 'Running',
'to': '',
'type': 1,
'value': '1',
}
],
},
],
},
{
'matcher': {'id': 'byName', 'options': 'Succeeded'},
'properties': [
{
'id': 'thresholds',
'value': {
'mode': 'absolute',
'steps': [
{'color': 'green', 'value': None},
{'color': 'light-blue', 'value': 1},
],
},
},
{
'id': 'mappings',
'value': [
{
'from': '',
'id': 1,
'text': 'Succeeded',
'to': '',
'type': 1,
'value': '1',
}
],
},
],
},
{
'matcher': {'id': 'byName', 'options': 'Unknown'},
'properties': [
{
'id': 'thresholds',
'value': {
'mode': 'absolute',
'steps': [
{'color': 'green', 'value': None},
{'color': 'rgb(87, 87, 87)', 'value': 1},
],
},
},
{
'id': 'mappings',
'value': [
{
'from': '',
'id': 1,
'text': 'Unknown',
'to': '',
'type': 1,
'value': '1',
}
],
},
],
},
],
},
'gridPos': {'h': 5, 'w': 5, 'x': 0, 'y': 1},
'id': 8,
'links': [],
'options': {
'colorMode': 'value',
'graphMode': 'none',
'justifyMode': 'center',
'orientation': 'auto',
'reduceOptions': {
'calcs': ['lastNotNull'],
'fields': '',
'values': False,
},
'text': {},
'textMode': 'auto',
},
'pluginVersion': '7.5.5',
'targets': [
{
'exemplar': True,
'expr': f'sum(kube_pod_status_phase{{namespace=~"{namespace}",pod=~"{pod_name}"}} == 1) by(phase)',
'format': 'time_series',
'instant': True,
'interval': '',
'intervalFactor': 1,
'legendFormat': '{{ phase }}',
'refId': 'A',
'step': 2,
}
],
'timeFrom': None,
'timeShift': None,
'title': 'Status',
'type': 'stat',
},
{
'alert': {
'alertRuleTags': {},
'conditions': [
{
'evaluator': {'params': [1], 'type': 'gt'},
'operator': {'type': 'and'},
'query': {'params': ['A', '1m', 'now']},
'reducer': {'params': [], 'type': 'sum'},
'type': 'query',
}
],
'executionErrorState': 'alerting',
'for': '1m',
'frequency': '1m',
'handler': 1,
'message': f'錯誤：您的容器 {pod_name} 偵測到重新啟動，請確認設定是否皆為正確。',
'name': f'{user.realName}-{pod_name}: Container Restart alert',
'noDataState': 'ok',
'notifications': [{'uid': f'{notifications_channel}'}],
},
'aliasColors': {},
'bars': False,
'dashLength': 10,
'dashes': False,
'datasource': 'Prometheus',
'fieldConfig': {'defaults': {}, 'overrides': []},
'fill': 1,
'fillGradient': 0,
'gridPos': {'h': 5, 'w': 19, 'x': 5, 'y': 1},
'hiddenSeries': False,
'id': 12,
'legend': {
'avg': False,
'current': False,
'max': False,
'min': False,
'show': False,
'total': False,
'values': False,
},
'lines': True,
'linewidth': 1,
'links': [],
'nullPointMode': 'null',
'options': {'alertThreshold': True},
'percentage': False,
'pluginVersion': '7.5.5',
'pointradius': 2,
'points': False,
'renderer': 'flot',
'seriesOverrides': [],
'spaceLength': 10,
'stack': False,
'steppedLine': False,
'targets': [
{
'exemplar': True,
'expr': f'kube_pod_container_status_restarts_total{{namespace=~"{namespace}", pod=~"{pod_name}"}}',
'format': 'time_series',
'hide': False,
'interval': '',
'intervalFactor': 2,
'legendFormat': '{{ container }}',
'refId': 'A',
'step': 2,
}
],
'thresholds': [
{
'colorMode': 'critical',
'fill': True,
'line': True,
'op': 'gt',
'value': 1,
'visible': True,
}
],
'timeFrom': None,
'timeRegions': [],
'timeShift': None,
'title': 'Container Restart',
'tooltip': {'shared': True, 'sort': 0, 'value_type': 'individual'},
'type': 'graph',
'xaxis': {
'buckets': None,
'mode': 'time',
'name': None,
'show': True,
'values': [],
},
'yaxes': [
{
'$$hashKey': 'object:79',
'decimals': 0,
'format': 'none',
'label': None,
'logBase': 1,
'max': None,
'min': '0',
'show': True,
},
{
'$$hashKey': 'object:80',
'format': 'short',
'label': None,
'logBase': 1,
'max': None,
'min': None,
'show': True,
},
],
'yaxis': {'align': False, 'alignLevel': None},
},
{
'collapsed': False,
'datasource': None,
'gridPos': {'h': 1, 'w': 24, 'x': 0, 'y': 6},
'id': 35,
'panels': [],
'repeat': None,
'title': 'Resource',
'type': 'row',
},
{
'cacheTimeout': None,
'datasource': None,
'fieldConfig': {
'defaults': {
'color': {'mode': 'thresholds'},
'decimals': 2,
'mappings': [
{
'id': 0,
'op': '=',
'text': 'N/A',
'type': 1,
'value': 'null',
}
],
'thresholds': {
'mode': 'absolute',
'steps': [
{'color': 'light-green', 'value': None},
{'color': 'light-orange', 'value': 60},
{'color': 'semi-dark-red', 'value': 80},
],
},
'unit': 'percent',
},
'overrides': [],
},
'gridPos': {'h': 5, 'w': 5, 'x': 0, 'y': 7},
'id': 4,
'interval': None,
'links': [],
'maxDataPoints': 100,
'options': {
'colorMode': 'value',
'graphMode': 'area',
'justifyMode': 'auto',
'orientation': 'horizontal',
'reduceOptions': {
'calcs': ['lastNotNull'],
'fields': '',
'values': False,
},
'text': {},
'textMode': 'auto',
},
'pluginVersion': '7.5.5',
'targets': [
{
'exemplar': True,
'expr': f'rate(node_namespace_pod_container:container_cpu_usage_seconds_total:sum_rate{{namespace=~"{namespace}", container!="POD", pod=~"{pod_name}"}}[1m])',
'format': 'time_series',
'instant': False,
'interval': '',
'intervalFactor': 1,
'legendFormat': '',
'refId': 'A',
'step': 20,
}
],
'title': 'CPU',
'type': 'stat',
},
{
'alert': {
'alertRuleTags': {},
'conditions': [
{
'evaluator': {'params': [90], 'type': 'gt'},
'operator': {'type': 'and'},
'query': {'params': ['A', '5m', 'now']},
'reducer': {'params': [], 'type': 'avg'},
'type': 'query',
}
],
'executionErrorState': 'alerting',
'for': '5m',
'frequency': '1m',
'handler': 1,
'message': f'警告：您的容器 {pod_name} 的CPU使用率已經連續一分鐘超過90%。',
'name': f'{user.realName}-{pod_name}: CPU Usage alert',
'noDataState': 'ok',
'notifications': [{'uid': f'{notifications_channel}'}],
},
'aliasColors': {},
'bars': False,
'dashLength': 10,
'dashes': False,
'datasource': 'Prometheus',
'editable': True,
'error': False,
'fieldConfig': {'defaults': {'unit': 'percent'}, 'overrides': []},
'fill': 1,
'fillGradient': 0,
'grid': {},
'gridPos': {'h': 5, 'w': 9, 'x': 5, 'y': 7},
'hiddenSeries': False,
'id': 40,
'legend': {
'alignAsTable': True,
'avg': True,
'current': True,
'max': False,
'min': False,
'rightSide': True,
'show': False,
'total': False,
'values': True,
},
'lines': True,
'linewidth': 2,
'links': [],
'nullPointMode': 'connected',
'options': {'alertThreshold': True},
'paceLength': 10,
'percentage': False,
'pluginVersion': '7.5.5',
'pointradius': 5,
'points': False,
'renderer': 'flot',
'seriesOverrides': [],
'spaceLength': 10,
'stack': False,
'steppedLine': False,
'targets': [
{
'exemplar': True,
'expr': f'rate(node_namespace_pod_container:container_cpu_usage_seconds_total:sum_rate{{namespace=~"{namespace}", container!="POD", pod=~"{pod_name}"}}[1m])',
'format': 'time_series',
'instant': False,
'interval': '',
'intervalFactor': 1,
'legendFormat': 'Current',
'refId': 'A',
'step': 2,
}
],
'thresholds': [
{
'colorMode': 'critical',
'fill': True,
'line': True,
'op': 'gt',
'value': 90,
'visible': True,
}
],
'timeFrom': None,
'timeRegions': [],
'timeShift': None,
'title': 'CPU Usage',
'tooltip': {
'msResolution': True,
'shared': True,
'sort': 0,
'value_type': 'cumulative',
},
'type': 'graph',
'xaxis': {
'buckets': None,
'mode': 'time',
'name': None,
'show': True,
'values': [],
},
'yaxes': [
{
'$$hashKey': 'object:1172',
'format': 'percent',
'label': None,
'logBase': 1,
'max': '100',
'min': '0',
'show': True,
},
{
'$$hashKey': 'object:1173',
'format': 'short',
'label': None,
'logBase': 1,
'max': None,
'min': None,
'show': True,
},
],
'yaxis': {'align': False, 'alignLevel': None},
},
{
'aliasColors': {},
'bars': False,
'dashLength': 10,
'dashes': False,
'datasource': 'Prometheus',
'editable': True,
'error': False,
'fieldConfig': {'defaults': {}, 'overrides': []},
'fill': 1,
'fillGradient': 0,
'grid': {},
'gridPos': {'h': 5, 'w': 10, 'x': 14, 'y': 7},
'hiddenSeries': False,
'id': 2,
'legend': {
'alignAsTable': True,
'avg': True,
'current': True,
'max': False,
'min': False,
'rightSide': True,
'show': False,
'total': False,
'values': True,
},
'lines': True,
'linewidth': 2,
'links': [],
'nullPointMode': 'connected',
'options': {'alertThreshold': True},
'paceLength': 10,
'percentage': False,
'pluginVersion': '7.5.5',
'pointradius': 5,
'points': False,
'renderer': 'flot',
'seriesOverrides': [],
'spaceLength': 10,
'stack': False,
'steppedLine': False,
'targets': [
{
'exemplar': True,
'expr': f'sum by (container)(rate(container_cpu_usage_seconds_total{{namespace=~"{namespace}", pod=~"{pod_name}", container!="", container!="POD", image!=""}}[2m]))',
'format': 'time_series',
'instant': False,
'interval': '',
'intervalFactor': 1,
'legendFormat': 'Current',
'refId': 'A',
'step': 2,
},
{
'exemplar': True,
'expr': f'kube_pod_container_resource_limits_cpu_cores{{namespace=~"{namespace}", pod=~"{pod_name}", container!="POD"}}',
'format': 'time_series',
'interval': '',
'intervalFactor': 1,
'legendFormat': 'Limit',
'refId': 'C',
'step': 2,
},
],
'thresholds': [],
'timeFrom': None,
'timeRegions': [],
'timeShift': None,
'title': 'CPU Usage',
'tooltip': {
'msResolution': True,
'shared': True,
'sort': 0,
'value_type': 'cumulative',
},
'type': 'graph',
'xaxis': {
'buckets': None,
'mode': 'time',
'name': None,
'show': True,
'values': [],
},
'yaxes': [
{
'$$hashKey': 'object:1092',
'format': 'short',
'label': None,
'logBase': 1,
'max': None,
'min': None,
'show': True,
},
{
'$$hashKey': 'object:1093',
'format': 'short',
'label': None,
'logBase': 1,
'max': None,
'min': None,
'show': True,
},
],
'yaxis': {'align': False, 'alignLevel': None},
},
{
'cacheTimeout': None,
'datasource': 'Prometheus',
'fieldConfig': {
'defaults': {
'color': {'fixedColor': 'rgb(87, 87, 87)', 'mode': 'fixed'},
'mappings': [
{
'id': 0,
'op': '=',
'text': 'N/A',
'type': 1,
'value': 'null',
}
],
'thresholds': {
'mode': 'absolute',
'steps': [{'color': 'green', 'value': None}],
},
'unit': 'bytes',
},
'overrides': [],
},
'gridPos': {'h': 5, 'w': 5, 'x': 0, 'y': 12},
'id': 5,
'interval': None,
'links': [],
'maxDataPoints': 100,
'options': {
'colorMode': 'value',
'graphMode': 'area',
'justifyMode': 'auto',
'orientation': 'horizontal',
'reduceOptions': {
'calcs': ['lastNotNull'],
'fields': '',
'values': False,
},
'text': {},
'textMode': 'auto',
},
'pluginVersion': '7.5.5',
'targets': [
{
'exemplar': True,
'expr': f'sum(container_memory_working_set_bytes{{namespace=~"{namespace}", pod=~"{pod_name}", container!="POD", container!=""}})',
'format': 'time_series',
'hide': False,
'interval': '',
'intervalFactor': 1,
'legendFormat': '',
'refId': 'A',
'step': 20,
}
],
'title': 'Memory',
'type': 'stat',
},
{
'alert': {
'alertRuleTags': {},
'conditions': [
{
'evaluator': {'params': [90], 'type': 'gt'},
'operator': {'type': 'and'},
'query': {'params': ['A', '1m', 'now']},
'reducer': {'params': [], 'type': 'max'},
'type': 'query',
}
],
'executionErrorState': 'alerting',
'for': '1m',
'frequency': '1m',
'handler': 1,
'message': f'警告：您的容器 {pod_name} 偵測到記憶體利用率超過90%。',
'name': f'{user.realName}-{pod_name}: Memory Usage alert',
'noDataState': 'ok',
'notifications': [{'uid': f'{notifications_channel}'}],
},
'aliasColors': {},
'bars': False,
'dashLength': 10,
'dashes': False,
'datasource': 'Prometheus',
'editable': False,
'error': False,
'fieldConfig': {'defaults': {}, 'overrides': []},
'fill': 1,
'fillGradient': 0,
'grid': {},
'gridPos': {'h': 5, 'w': 9, 'x': 5, 'y': 12},
'hiddenSeries': False,
'id': 41,
'legend': {
'alignAsTable': True,
'avg': False,
'current': False,
'max': False,
'min': False,
'rightSide': True,
'show': False,
'total': False,
'values': False,
},
'lines': True,
'linewidth': 2,
'links': [],
'nullPointMode': 'connected',
'options': {'alertThreshold': True},
'paceLength': 10,
'percentage': False,
'pluginVersion': '7.5.5',
'pointradius': 5,
'points': False,
'renderer': 'flot',
'seriesOverrides': [],
'spaceLength': 10,
'stack': False,
'steppedLine': False,
'targets': [
{
'exemplar': True,
'expr': f'sum(container_memory_working_set_bytes{{namespace=~"{namespace}", pod=~"{pod_name}", container!="POD", container!="", image!=""}}) / sum(kube_pod_container_resource_limits_memory_bytes{{namespace=~"{namespace}", pod=~"{pod_name}"}}) * 100',
'format': 'time_series',
'interval': '10s',
'intervalFactor': 1,
'legendFormat': 'Current',
'metric': 'container_memory_usage_bytes',
'refId': 'A',
'step': 10,
}
],
'thresholds': [
{
'colorMode': 'critical',
'fill': True,
'line': True,
'op': 'gt',
'value': 90,
'visible': True,
}
],
'timeFrom': None,
'timeRegions': [],
'timeShift': None,
'title': 'Memory Usage',
'tooltip': {
'msResolution': True,
'shared': True,
'sort': 0,
'value_type': 'cumulative',
},
'type': 'graph',
'xaxis': {
'buckets': None,
'mode': 'time',
'name': None,
'show': True,
'values': [],
},
'yaxes': [
{
'$$hashKey': 'object:818',
'format': 'percent',
'label': None,
'logBase': 1,
'max': '100',
'min': '0',
'show': True,
},
{
'$$hashKey': 'object:819',
'format': 'short',
'label': None,
'logBase': 1,
'max': None,
'min': None,
'show': True,
},
],
'yaxis': {'align': False, 'alignLevel': None},
},
{
'aliasColors': {},
'bars': False,
'dashLength': 10,
'dashes': False,
'datasource': 'Prometheus',
'editable': False,
'error': False,
'fieldConfig': {'defaults': {}, 'overrides': []},
'fill': 1,
'fillGradient': 0,
'grid': {},
'gridPos': {'h': 5, 'w': 10, 'x': 14, 'y': 12},
'hiddenSeries': False,
'id': 1,
'legend': {
'alignAsTable': True,
'avg': False,
'current': False,
'max': False,
'min': False,
'rightSide': True,
'show': False,
'total': False,
'values': False,
},
'lines': True,
'linewidth': 2,
'links': [],
'nullPointMode': 'connected',
'options': {'alertThreshold': True},
'paceLength': 10,
'percentage': False,
'pluginVersion': '7.5.5',
'pointradius': 5,
'points': False,
'renderer': 'flot',
'seriesOverrides': [],
'spaceLength': 10,
'stack': False,
'steppedLine': False,
'targets': [
{
'exemplar': True,
'expr': f'container_memory_working_set_bytes{{namespace=~"{namespace}", pod=~"{pod_name}", container!="POD", container!="", image!=""}}',
'format': 'time_series',
'interval': '10s',
'intervalFactor': 1,
'legendFormat': 'Current',
'metric': 'container_memory_usage_bytes',
'refId': 'A',
'step': 10,
},
{
'exemplar': True,
'expr': f'kube_pod_container_resource_limits_memory_bytes{{namespace=~"{namespace}", pod=~"{pod_name}"}}',
'format': 'time_series',
'hide': False,
'interval': '10s',
'intervalFactor': 2,
'legendFormat': 'Limit',
'metric': 'kube_pod_container_resource_limits_memory_bytes',
'refId': 'C',
'step': 20,
},
],
'thresholds': [],
'timeFrom': None,
'timeRegions': [],
'timeShift': None,
'title': 'Memory Usage',
'tooltip': {
'msResolution': True,
'shared': True,
'sort': 0,
'value_type': 'cumulative',
},
'type': 'graph',
'xaxis': {
'buckets': None,
'mode': 'time',
'name': None,
'show': True,
'values': [],
},
'yaxes': [
{
'$$hashKey': 'object:818',
'format': 'bytes',
'label': None,
'logBase': 1,
'max': None,
'min': None,
'show': True,
},
{
'$$hashKey': 'object:819',
'format': 'short',
'label': None,
'logBase': 1,
'max': None,
'min': None,
'show': True,
},
],
'yaxis': {'align': False, 'alignLevel': None},
},
{
'cacheTimeout': None,
'datasource': 'Prometheus',
'fieldConfig': {
'defaults': {
'color': {'fixedColor': 'rgb(87, 87, 87)', 'mode': 'fixed'},
'decimals': 2,
'mappings': [
{
'id': 0,
'op': '=',
'text': 'N/A',
'type': 1,
'value': 'null',
}
],
'thresholds': {
'mode': 'absolute',
'steps': [{'color': 'green', 'value': None}],
},
'unit': 'Bps',
},
'overrides': [],
},
'gridPos': {'h': 5, 'w': 5, 'x': 0, 'y': 17},
'id': 7,
'interval': None,
'links': [],
'maxDataPoints': 100,
'options': {
'colorMode': 'value',
'graphMode': 'area',
'justifyMode': 'auto',
'orientation': 'horizontal',
'reduceOptions': {
'calcs': ['lastNotNull'],
'fields': '',
'values': False,
},
'text': {},
'textMode': 'auto',
},
'pluginVersion': '7.5.5',
'targets': [
{
'exemplar': True,
'expr': f'sum(rate(container_network_transmit_bytes_total{{namespace=~"{namespace}",pod=~"{pod_name}"}}[5m])) + sum(rate(container_network_receive_bytes_total{{namespace=~"{namespace}",pod=~"{pod_name}"}}[5m])) ',
'format': 'time_series',
'interval': '',
'intervalFactor': 2,
'legendFormat': '',
'refId': 'A',
'step': 20,
}
],
'title': 'Network RX/TX Total (bytes/sec)',
'type': 'stat',
},
{
'datasource': 'Prometheus',
'fieldConfig': {
'defaults': {
'color': {'mode': 'palette-classic'},
'custom': {
'axisLabel': '',
'axisPlacement': 'auto',
'barAlignment': 0,
'drawStyle': 'line',
'fillOpacity': 10,
'gradientMode': 'none',
'hideFrom': {
'graph': False,
'legend': False,
'tooltip': False,
},
'lineInterpolation': 'linear',
'lineWidth': 2,
'pointSize': 5,
'scaleDistribution': {'type': 'linear'},
'showPoints': 'never',
'spanNulls': False,
},
'mappings': [],
'thresholds': {
'mode': 'absolute',
'steps': [
{'color': 'green', 'value': None},
{'color': 'red', 'value': 80},
],
},
'unit': 'Bps',
},
'overrides': [],
},
'gridPos': {'h': 5, 'w': 19, 'x': 5, 'y': 17},
'id': 3,
'links': [],
'options': {
'graph': {},
'legend': {
'calcs': ['mean', 'lastNotNull', 'max', 'min', 'sum'],
'displayMode': 'hidden',
'placement': 'right',
},
'tooltipOptions': {'mode': 'single'},
},
'pluginVersion': '7.5.5',
'targets': [
{
'exemplar': True,
'expr': f'rate(container_network_transmit_bytes_total{{namespace=~"{namespace}", pod=~"{pod_name}",interface=~"eth0|ens.*"}}[5m])',
'format': 'time_series',
'interval': '',
'intervalFactor': 2,
'legendFormat': 'TX',
'refId': 'A',
'step': 2,
},
{
'exemplar': True,
'expr': f'rate(container_network_receive_bytes_total{{namespace=~"{namespace}", pod=~"{pod_name}",interface=~"eth0|ens.*"}}[5m])',
'format': 'time_series',
'interval': '',
'intervalFactor': 2,
'legendFormat': 'RX',
'refId': 'B',
'step': 2,
},
],
'timeFrom': None,
'timeShift': None,
'title': 'POD Network',
'type': 'timeseries',
},
{
'collapsed': False,
'datasource': None,
'gridPos': {'h': 1, 'w': 24, 'x': 0, 'y': 22},
'id': 37,
'panels': [],
'title': 'Alerts',
'type': 'row',
},
{
'dashboardFilter': '',
'dashboardTags': [],
'datasource': None,
'fieldConfig': {'defaults': {}, 'overrides': []},
'folderId': None,
'gridPos': {'h': 6, 'w': 24, 'x': 0, 'y': 23},
'id': 39,
'limit': 10,
'nameFilter': '',
'onlyAlertsOnDashboard': True,
'pluginVersion': '7.5.5',
'repeat': None,
'show': 'current',
'sortOrder': 1,
'stateFilter': [
'ok',
'paused',
'no_data',
'execution_error',
'alerting',
'pending',
],
'timeFrom': None,
'timeShift': None,
'title': 'Alerts',
'type': 'alertlist',
},
],
'refresh': '10s',
'tags': ['kubernetes', 'pods', 'KubeZephyr'],
'timezone': 'browser',
'title': f'{user.realName}-{pod_name}: POD Overview with alerts',
'uid': f'{namespace}-{pod_name}',
},
'folderId': 32
}
| 43.92148 | 278 | 0.246974 | 2,250 | 48,665 | 5.274667 | 0.151556 | 0.014156 | 0.012639 | 0.018622 | 0.817577 | 0.784968 | 0.761544 | 0.723879 | 0.705342 | 0.655713 | 0 | 0.021194 | 0.629631 | 48,665 | 1,107 | 279 | 43.961156 | 0.637261 | 0 | 0 | 0.683636 | 0 | 0.004545 | 0.224227 | 0.035898 | 0 | 0 | 0 | 0 | 0 | 1 | 0.003636 | false | 0 | 0.002727 | 0.002727 | 0.01 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
631e26d219e1c326e87a4ee652a2fb048758abc4 | 40,383 | py | Python | packages/winpanda/extra/src/winpanda/core/command.py | pierrebeitz/dcos | 424a390624f9a97b84da25ca03caf94707e13e01 | [
"Apache-2.0"
] | null | null | null | packages/winpanda/extra/src/winpanda/core/command.py | pierrebeitz/dcos | 424a390624f9a97b84da25ca03caf94707e13e01 | [
"Apache-2.0"
] | null | null | null | packages/winpanda/extra/src/winpanda/core/command.py | pierrebeitz/dcos | 424a390624f9a97b84da25ca03caf94707e13e01 | [
"Apache-2.0"
] | null | null | null | """Panda package management for Windows.
DC/OS package management command definitions.
"""
import abc
import os
from pathlib import Path
import shutil
import yaml
from cfgm import exceptions as cfgm_exc
from common import exceptions as cm_exc
from common import logger
from common import storage
from common import utils as cm_utl
from common.cli import CLI_COMMAND, CLI_CMDTARGET, CLI_CMDOPT
from common.storage import ISTOR_NODE
from core import cmdconf
from core import exceptions as cr_exc
from core.istate import ISTATE
from core.package.id import PackageId
from core.package.manifest import PackageManifest
from core.package.package import Package
from core import utils as cr_utl
from extm import exceptions as extm_exc
from svcm import exceptions as svcm_exc
from svcm.base import WindowsServiceManager
from svcm.nssm import SVC_STATUS
LOG = logger.get_logger(__name__)
CMD_TYPES = {}
def create(**cmd_opts):
"""Instantiate a command.
:param cmd_opts: dict, command options:
{
'command_name': <str>,
...
}
"""
command_name = cmd_opts.get(CLI_CMDOPT.CMD_NAME, '')
return CMD_TYPES[command_name](**cmd_opts)
def command_type(command_name: str):
"""Register a command class in the command types registry.
:param command_name: str, name of a command
"""
def decorator(cls):
""""""
CMD_TYPES[command_name] = cls
return cls
return decorator
class Command(metaclass=abc.ABCMeta):
"""Abstract base class for command types.
"""
def __init__(self, **cmd_opts):
"""Constructor."""
self.msg_src = self.__class__.__name__
self.cmd_opts = cmd_opts
def __repr__(self):
return (
'<%s(cmd_opts="%s")>' % (self.__class__.__name__, self.cmd_opts)
)
def __str__(self):
return self.__repr__()
@abc.abstractmethod
def verify_cmd_options(self, *args, **kwargs):
"""Verify command options."""
pass
@abc.abstractmethod
def execute(self, *args, **kwargs):
"""Execute command."""
pass
@command_type(CLI_COMMAND.SETUP)
class CmdSetup(Command):
"""Setup command implementation."""
def __init__(self, **cmd_opts):
""""""
super(CmdSetup, self).__init__(**cmd_opts)
if self.cmd_opts.get(CLI_CMDOPT.CMD_TARGET) == CLI_CMDTARGET.STORAGE:
# Deactivate cluster-related configuration steps
self.cmd_opts[CLI_CMDOPT.DCOS_CLUSTERCFGPATH] = 'NOP'
self.config = cmdconf.create(**self.cmd_opts)
LOG.debug(f'{self.msg_src}: cmd_opts: {self.cmd_opts}')
def verify_cmd_options(self):
"""Verify command options."""
pass
def execute(self):
"""Execute command."""
LOG.debug(f'{self.msg_src}: Execute: Target:'
f' {self.cmd_opts.get(CLI_CMDOPT.CMD_TARGET)}')
try:
cmd_target = self.cmd_opts.get(CLI_CMDOPT.CMD_TARGET)
if cmd_target == CLI_CMDTARGET.STORAGE:
# (Re)build/repair the installation storage structure.
self.config.inst_storage.construct(
clean=self.cmd_opts.get(CLI_CMDOPT.INST_CLEAN)
)
elif cmd_target == CLI_CMDTARGET.PKGALL:
istate = self.config.inst_state.istate
if istate == ISTATE.INSTALLATION_IN_PROGRESS:
self._handle_cmdtarget_pkgall()
self._register_istate(ISTATE.INSTALLED)
else:
LOG.info(
f'{self.msg_src}: Execute: Invalid DC/OS installation'
f' state detected: {istate}: NOP'
)
LOG.info(f'{self.msg_src}: Execute: OK')
except cm_exc.WinpandaError:
self._register_istate(ISTATE.INSTALLATION_FAILED)
raise
def _register_istate(self, inst_state):
""""""
# TODO: Move this method to the abstract base parent class Command to
# avoid code duplication in command manager classes.
msg_base = (f'{self.msg_src}:'
f' Execute: Register installation state: {inst_state}')
try:
self.config.inst_state.istate = inst_state
LOG.debug(f'{msg_base}: OK')
except cr_exc.RCError as e:
raise cr_exc.SetupCommandError(f'Execute: {type(e).__name__}: {e}')
def _handle_cmdtarget_pkgall(self):
""""""
# TODO: This code is duplicated in the CmdUpgrade._handle_clean_setup()
# stuff and so should be made standalone to be reused in both
# classes avoiding massive code duplication.
dstor_root_url = self.config.cluster_conf.get(
'distribution-storage', {}
).get('rooturl', '')
dstor_pkgrepo_path = self.config.cluster_conf.get(
'distribution-storage', {}
).get('pkgrepopath', '')
# Add packages to the local package repository and initialize their
# manager objects
packages_bulk = {}
for item in self.config.ref_pkg_list:
pkg_id = PackageId(pkg_id=item)
try:
self.config.inst_storage.add_package(
pkg_id=pkg_id,
dstor_root_url=dstor_root_url,
dstor_pkgrepo_path=dstor_pkgrepo_path
)
except cr_exc.RCError as e:
err_msg = (f'{self.msg_src}: Execute: Add package to local'
f' repository: {pkg_id.pkg_id}: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
try:
package = Package(
pkg_id=pkg_id,
istor_nodes=self.config.inst_storage.istor_nodes,
cluster_conf=self.config.cluster_conf,
extra_context=self.config.dcos_conf.get('values')
)
except cr_exc.RCError as e:
err_msg = (f'{self.msg_src}: Execute: Initialize package:'
f' {pkg_id.pkg_id}: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
packages_bulk[pkg_id.pkg_name] = package
# Finalize package setup procedures taking package mutual
# dependencies into account.
packages_sorted_by_deps = cr_utl.pkg_sort_by_deps(packages_bulk)
# Prepare base per package configuration objects
for package in packages_sorted_by_deps:
# TODO: This method moves parts of individual packages which should
# be shared with other packages to DC/OS installation shared
# directories (<inst_root>\[bin|etc|lib]). It should be
# redesigned to deal with only required parts of packages and
# not populating shared DC/OS installation directories with
# unnecessary stuff.
self._handle_pkg_dir_setup(package)
# TODO: This should be replaced with Package.handle_config_setup()
# method to avoid code duplication in command manager classes
# CmdSetup and CmdUpgrade
self._handle_pkg_cfg_setup(package)
# Deploy DC/OS aggregated configuration object
self._deploy_dcos_conf()
# Run per package extra installation helpers, setup services and
# save manifests
for package in packages_sorted_by_deps:
# TODO: This should be replaced with Package.handle_inst_extras()
# method to avoid code duplication in command manager classes
# CmdSetup and CmdUpgrade
self._handle_pkg_inst_extras(package)
# TODO: This should be replaced with Package.handle_svc_setup()
# method to avoid code duplication in command manager classes
# CmdSetup and CmdUpgrade
self._handle_pkg_svc_setup(package)
# TODO: This part should be replaced with Package.save_manifest()
# method to avoid code duplication in command manager classes
# CmdSetup and CmdUpgrade
try:
package.manifest.save()
except cr_exc.RCError as e:
err_msg = (f'{self.msg_src}: Execute: Register package:'
f' {package.manifest.pkg_id.pkg_id}: {e}')
raise cr_exc.SetupCommandError(err_msg)
LOG.info(f'{self.msg_src}: Setup package:'
f' {package.manifest.pkg_id.pkg_id}: OK')
def _handle_pkg_dir_setup(self, package: Package):
"""Transfer files from special directories into location.
:param package: Package, DC/OS package manager object
"""
# TODO: Move this functionality to a method of the Package class and
# reuse it in CmdSetup and CmdUpgrade classes to avoid code
# duplication.
pkg_path = getattr(
package.manifest.istor_nodes, ISTOR_NODE.PKGREPO
).joinpath(package.manifest.pkg_id.pkg_id)
root = getattr(
package.manifest.istor_nodes, ISTOR_NODE.ROOT
)
for name in ('bin', 'etc', 'include', 'lib'):
srcdir = pkg_path / name
if srcdir.exists():
dstdir = root / name
dstdir.mkdir(exist_ok=True)
cm_utl.transfer_files(str(srcdir), str(dstdir))
def _handle_pkg_cfg_setup(self, package: Package):
"""Execute steps on package configuration files setup.
:param package: Package, DC/OS package manager object
"""
# TODO: This method should be removed after transition to use of
# Package.handle_config_setup()
pkg_id = package.manifest.pkg_id
LOG.debug(f'{self.msg_src}: Execute: {pkg_id.pkg_name}: Setup'
f' configuration: ...')
try:
package.cfg_manager.setup_conf()
except cfgm_exc.PkgConfNotFoundError as e:
LOG.debug(f'{self.msg_src}: Execute: {pkg_id.pkg_name}: Setup'
f' configuration: NOP')
except cfgm_exc.PkgConfManagerError as e:
err_msg = (f'Execute: {pkg_id.pkg_name}: Setup configuration:'
f'{type(e).__name__}: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
else:
LOG.debug(f'{self.msg_src}: Execute: {pkg_id.pkg_name}: Setup'
f' configuration: OK')
def _handle_pkg_inst_extras(self, package: Package):
"""Process package extra installation options.
:param package: Package, DC/OS package manager object
"""
# TODO: This method should be removed after transition to use of
# Package.handle_inst_extras()
msg_src = self.__class__.__name__
pkg_id = package.manifest.pkg_id
if package.ext_manager:
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}:'
f' Handle extra installation options: ...')
try:
package.ext_manager.handle_install_extras()
except extm_exc.InstExtrasManagerError as e:
err_msg = (f'Execute: {pkg_id.pkg_name}:'
f' Handle extra installation options: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}:'
f' Handle extra installation options: OK')
else:
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}:'
f' Handle extra installation options: NOP')
def _handle_pkg_svc_setup(self, package: Package):
"""Execute steps on package service setup.
:param package: Package, DC/OS package manager object
"""
# TODO: This method should be removed after transition to use of
# Package.handle_svc_setup()
msg_src = self.__class__.__name__
pkg_id = package.manifest.pkg_id
if package.svc_manager:
svc_name = package.svc_manager.svc_name
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}: Setup service:'
f' {svc_name}: ...')
try:
ret_code, stdout, stderr = package.svc_manager.status()
except svcm_exc.ServiceManagerCommandError as e:
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}: Setup'
f' service: Get initial service status: {svc_name}:'
f' {e}')
# Try to setup, as a service (expectedly) doesn't exist and
# checking it's status naturally would yield an error.
try:
package.svc_manager.setup()
except svcm_exc.ServiceManagerCommandError as e:
err_msg = (f'Execute: {pkg_id.pkg_name}: Setup service:'
f' {svc_name}: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
else:
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}: Setup'
f' service: Get initial service status: {svc_name}:'
f' stdout[{stdout}] stderr[{stderr}]')
svc_status = str(stdout).strip().rstrip('\n')
# Try to remove existing service
try:
if svc_status == SVC_STATUS.RUNNING:
package.svc_manager.stop()
package.svc_manager.remove()
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}: Remove'
f' existing service: {svc_name}: OK')
except svcm_exc.ServiceManagerCommandError as e:
err_msg = (f'Execute: {pkg_id.pkg_name}: Remove existing'
f' service: {svc_name}: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
# Setup a replacement service
try:
package.svc_manager.setup()
ret_code, stdout, stderr = (package.svc_manager.status())
svc_status = str(stdout).strip().rstrip('\n')
except svcm_exc.ServiceManagerCommandError as e:
err_msg = (f'Execute: {pkg_id.pkg_name}: Setup replacement'
f' service: {svc_name}: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
else:
if svc_status != SVC_STATUS.STOPPED:
err_msg = (f'Execute: {pkg_id.pkg_name}: Setup'
f' replacement service: {svc_name}:'
f' Invalid status: {svc_status}')
raise cr_exc.SetupCommandError(err_msg)
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}: Setup service:'
f' {svc_name}: OK')
else:
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}: Setup service:'
f' NOP')
def _deploy_dcos_conf(self):
"""Deploy aggregated DC/OS configuration object."""
# TODO: This should be made standalone and then reused in command
# manager classes CmdSetup and CmdUpgrade to avoid code
# duplication
LOG.debug(f'{self.msg_src}: Execute: Deploy aggregated config: ...')
template = self.config.dcos_conf.get('template')
values = self.config.dcos_conf.get('values')
rendered = template.render(values)
config = yaml.safe_load(rendered)
assert config.keys() == {"package"}
# Write out the individual files
for file_info in config["package"]:
assert file_info.keys() <= {"path", "content", "permissions"}
path = Path(file_info['path'].replace('\\', os.path.sep))
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(file_info['content'] or '')
# On Windows, we don't interpret permissions yet
LOG.debug(f'{self.msg_src}: Execute: Deploy aggregated config: OK')
@command_type(CLI_COMMAND.UPGRADE)
class CmdUpgrade(Command):
"""Implementation of the Upgrade command manager."""
def __init__(self, **cmd_opts):
""""""
super(CmdUpgrade, self).__init__(**cmd_opts)
self.config = cmdconf.create(**self.cmd_opts)
LOG.debug(f'{self.msg_src}: cmd_opts: {self.cmd_opts}')
def verify_cmd_options(self):
"""Verify command options."""
pass
def execute(self):
"""Execute command."""
LOG.debug(f'{self.msg_src}: Execute ...')
try:
istate = self.config.inst_state.istate
if istate == ISTATE.UPGRADE_IN_PROGRESS:
self._handle_upgrade()
self._register_istate(ISTATE.INSTALLED)
else:
LOG.info(
f'{self.msg_src}: Execute: Invalid DC/OS installation'
f' state detected: {istate}: NOP'
)
LOG.info(f'{self.msg_src}: Execute: OK')
except cm_exc.WinpandaError:
self._register_istate(ISTATE.UPGRADE_FAILED)
raise
def _register_istate(self, inst_state):
""""""
# TODO: Move this method to the abstract base parent class Command to
# avoid code duplication in command manager classes.
msg_base = (f'{self.msg_src}:'
f' Execute: Register installation state: {inst_state}')
try:
self.config.inst_state.istate = inst_state
LOG.debug(f'{msg_base}: OK')
except cr_exc.RCError as e:
raise cr_exc.SetupCommandError(f'Execute: {type(e).__name__}: {e}')
def _handle_upgrade(self):
""""""
self._handle_upgrade_pre()
self._handle_teardown()
self._handle_teardown_post()
self._handle_clean_setup()
def _handle_upgrade_pre(self):
""""""
mheading = f'{self.msg_src}: Execute'
# TODO: Add all the upgrade preparation steps (package download,
# TODO: rendering configs, etc.) here. I.e. everything that can be
# TODO: done without affecting the currently running system.
def _handle_teardown(self):
"""Teardown the currently installed DC/OS."""
mheading = f'{self.msg_src}: Execute'
pkg_manifests = (
self.config.inst_storage.get_pkgactive(PackageManifest.load)
)
packages_bulk = {
m.pkg_id.pkg_name: Package(manifest=m) for m in pkg_manifests
}
iroot_dpath = self.config.inst_storage.root_dpath
itmp_dpath = self.config.inst_storage.tmp_dpath
pkgactive_old_dpath = itmp_dpath.joinpath(
f'{storage.DCOS_PKGACTIVE_DPATH_DFT}.old'
)
sh_conf_dname = storage.DCOS_INST_CFG_DPATH_DFT
sh_exec_dname = storage.DCOS_INST_BIN_DPATH_DFT
sh_lib__dname = storage.DCOS_INST_LIB_DPATH_DFT
# Teardown installed packages
for package in cr_utl.pkg_sort_by_deps(packages_bulk):
package.handle_svc_wipe(mheading)
package.handle_uninst_extras(mheading)
package.handle_vardata_wipe(mheading)
package.save_manifest(mheading, pkgactive_old_dpath)
package.delete_manifest(mheading)
# Remove/preserve shared directories
for dname in sh_conf_dname, sh_exec_dname, sh_lib__dname:
active_dpath = iroot_dpath.joinpath(dname)
preserve_dpath = itmp_dpath.joinpath(f'{dname}.old')
try:
active_dpath.rename(preserve_dpath)
except (OSError, RuntimeError) as e:
err_msg = (f'{mheading}: Preserve shared directory:'
f' {active_dpath}: {type(e).__name__}: {e}')
raise cr_exc.RCError(err_msg) from e
LOG.debug(f'{mheading}: Preserve hared directory: {active_dpath}:'
f' {preserve_dpath}')
def _handle_teardown_post(self):
"""Perform extra steps on cleaning up unplanned (diverging from initial
winpanda design and so, not removed by normal teardown procedure) DC/OS
installation leftovers (see the CmdSetup._handle_pkg_dir_setup() and
workaround for dcos-diagnostics part in the
InstallationStorage.add_package()).
"""
mheading = f'{self.msg_src}: Execute'
LOG.debug(f'{mheading}: After steps: ...')
iroot_dpath = self.config.inst_storage.root_dpath
ivar_dpath = self.config.inst_storage.var_dpath
itmp_dpath = self.config.inst_storage.tmp_dpath
wipe_dirs = [
iroot_dpath.joinpath('include'),
iroot_dpath.joinpath('mesos-logs'),
ivar_dpath.joinpath('lib'),
]
for dpath in wipe_dirs:
try:
cm_utl.rmdir(str(dpath), recursive=True)
LOG.debug(f'{mheading}: After steps: Remove dir: {dpath}: OK')
except (OSError, RuntimeError) as e:
LOG.warning(f'{mheading}: After steps: Remove dir: {dpath}:'
f' {type(e).__name__}: {e}')
wipe_files = [
iroot_dpath.joinpath('dcos-diagnostics.exe'),
iroot_dpath.joinpath('servicelist.txt'),
]
for fpath in wipe_files:
try:
fpath.unlink()
LOG.debug(f'{mheading}: After steps: Remove file: {fpath}: OK')
except (OSError, RuntimeError) as e:
LOG.warning(f'{mheading}: After steps: Remove file: {fpath}:'
f' {type(e).__name__}: {e}')
# Restoreobjects created/populated by entities/processes outside
# of winpanda routines, but required for winpanda to do it's stuff.
restore_dirs = [
iroot_dpath.joinpath('bin'),
iroot_dpath.joinpath('etc'),
]
for dpath in restore_dirs:
try:
dpath.mkdir(parents=True, exist_ok=True)
LOG.debug(f'{mheading}: After steps: Restore dir: {dpath}: OK')
except (OSError, RuntimeError) as e:
LOG.warning(f'{mheading}: After steps: Restore dir: {dpath}:'
f' {type(e).__name__}: {e}')
restore_files = [
(itmp_dpath.joinpath('bin.old', 'detect_ip.ps1'),
iroot_dpath.joinpath('bin')),
(itmp_dpath.joinpath('bin.old', 'detect_ip_public.ps1'),
iroot_dpath.joinpath('bin')),
(itmp_dpath.joinpath('bin.old', 'fault-domain-detect-win.ps1'),
iroot_dpath.joinpath('bin')),
(itmp_dpath.joinpath('etc.old', 'cluster.conf'),
iroot_dpath.joinpath('etc')),
(itmp_dpath.joinpath('etc.old', 'paths.json'),
iroot_dpath.joinpath('etc')),
]
for fspec in restore_files:
try:
shutil.copy(str(fspec[0]), str(fspec[1]), follow_symlinks=False)
LOG.debug(f'{mheading}: After steps: Restore file: {fspec}: OK')
except (OSError, RuntimeError) as e:
LOG.warning(f'{mheading}: After steps: Restore file: {fspec}:'
f' {type(e).__name__}: {e}')
LOG.debug(f'{mheading}: After steps: OK')
def _handle_clean_setup(self):
"""Perform all the steps on DC/OS installation remaining after the
preparation stage is done (the CmdUpgrade._handle_upgrade_pre()).
"""
# TODO: This code duplicates the CmdSetup._handle_cmdtarget_pkgall()
# stuff and so should be made standalone to be reused in both
# classes avoiding massive code duplication.
mheading = f'{self.msg_src}: Execute'
dstor_root_url = self.config.cluster_conf.get(
'distribution-storage', {}
).get('rooturl', '')
dstor_pkgrepo_path = self.config.cluster_conf.get(
'distribution-storage', {}
).get('pkgrepopath', '')
# Add packages to the local package repository and initialize their
# manager objects
packages_bulk = {}
for item in self.config.ref_pkg_list:
pkg_id = PackageId(pkg_id=item)
try:
self.config.inst_storage.add_package(
pkg_id=pkg_id,
dstor_root_url=dstor_root_url,
dstor_pkgrepo_path=dstor_pkgrepo_path
)
except cr_exc.RCError as e:
err_msg = (f'{self.msg_src}: Execute: Add package to local'
f' repository: {pkg_id.pkg_id}: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
try:
package = Package(
pkg_id=pkg_id,
istor_nodes=self.config.inst_storage.istor_nodes,
cluster_conf=self.config.cluster_conf,
extra_context=self.config.dcos_conf.get('values')
)
except cr_exc.RCError as e:
err_msg = (f'{self.msg_src}: Execute: Initialize package:'
f' {pkg_id.pkg_id}: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
packages_bulk[pkg_id.pkg_name] = package
# Finalize package setup procedures taking package mutual
# dependencies into account.
packages_sorted_by_deps = cr_utl.pkg_sort_by_deps(packages_bulk)
# Prepare base per package configuration objects
for package in packages_sorted_by_deps:
# TODO: This method moves parts of individual packages which should
# be shared with other packages to DC/OS installation shared
# directories (<inst_root>\[bin|etc|lib]). It should be
# redesigned to deal with only required parts of packages and
# not populating shared DC/OS installation directories with
# unnecessary stuff.
self._handle_pkg_dir_setup(package)
# TODO: This should be replaced with Package.handle_config_setup()
# method to avoid code duplication in command manager classes
# CmdSetup and CmdUpgrade
self._handle_pkg_cfg_setup(package)
# Deploy DC/OS aggregated configuration object
self._deploy_dcos_conf()
# Run per package extra installation helpers, setup services and
# save manifests
for package in packages_sorted_by_deps:
# TODO: This should be replaced with Package.handle_inst_extras()
# method to avoid code duplication in command manager classes
# CmdSetup and CmdUpgrade
self._handle_pkg_inst_extras(package)
# TODO: This should be replaced with Package.handle_svc_setup()
# method to avoid code duplication in command manager classes
# CmdSetup and CmdUpgrade
self._handle_pkg_svc_setup(package)
# TODO: This part should be replaced with Package.save_manifest()
# method to avoid code duplication in command manager classes
# CmdSetup and CmdUpgrade
try:
package.manifest.save()
except cr_exc.RCError as e:
err_msg = (f'{self.msg_src}: Execute: Register package:'
f' {package.manifest.pkg_id.pkg_id}: {e}')
raise cr_exc.SetupCommandError(err_msg)
LOG.info(f'{self.msg_src}: Setup package:'
f' {package.manifest.pkg_id.pkg_id}: OK')
def _handle_pkg_dir_setup(self, package: Package):
"""Transfer files from special directories into location.
:param package: Package, DC/OS package manager object
"""
# TODO: Move this functionality to a method of the Package class and
# reuse it in CmdSetup and CmdUpgrade classes to avoid code
# duplication.
pkg_path = getattr(
package.manifest.istor_nodes, ISTOR_NODE.PKGREPO
).joinpath(package.manifest.pkg_id.pkg_id)
root = getattr(
package.manifest.istor_nodes, ISTOR_NODE.ROOT
)
for name in ('bin', 'etc', 'include', 'lib'):
srcdir = pkg_path / name
if srcdir.exists():
dstdir = root / name
dstdir.mkdir(exist_ok=True)
cm_utl.transfer_files(str(srcdir), str(dstdir))
def _handle_pkg_cfg_setup(self, package: Package):
"""Execute steps on package configuration files setup.
:param package: Package, DC/OS package manager object
"""
# TODO: This method should be removed after transition to use of
# Package.handle_config_setup()
pkg_id = package.manifest.pkg_id
LOG.debug(f'{self.msg_src}: Execute: {pkg_id.pkg_name}: Setup'
f' configuration: ...')
try:
package.cfg_manager.setup_conf()
except cfgm_exc.PkgConfNotFoundError as e:
LOG.debug(f'{self.msg_src}: Execute: {pkg_id.pkg_name}: Setup'
f' configuration: NOP')
except cfgm_exc.PkgConfManagerError as e:
err_msg = (f'Execute: {pkg_id.pkg_name}: Setup configuration:'
f'{type(e).__name__}: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
else:
LOG.debug(f'{self.msg_src}: Execute: {pkg_id.pkg_name}: Setup'
f' configuration: OK')
def _handle_pkg_inst_extras(self, package: Package):
"""Process package extra installation options.
:param package: Package, DC/OS package manager object
"""
# TODO: This method should be removed after transition to use of
# Package.handle_inst_extras()
msg_src = self.__class__.__name__
pkg_id = package.manifest.pkg_id
if package.ext_manager:
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}:'
f' Handle extra installation options: ...')
try:
package.ext_manager.handle_install_extras()
except extm_exc.InstExtrasManagerError as e:
err_msg = (f'Execute: {pkg_id.pkg_name}:'
f' Handle extra installation options: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}:'
f' Handle extra installation options: OK')
else:
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}:'
f' Handle extra installation options: NOP')
def _handle_pkg_svc_setup(self, package: Package):
"""Execute steps on package service setup.
:param package: Package, DC/OS package manager object
"""
# TODO: This method should be removed after transition to use of
# Package.handle_svc_setup()
msg_src = self.__class__.__name__
pkg_id = package.manifest.pkg_id
if package.svc_manager:
svc_name = package.svc_manager.svc_name
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}: Setup service:'
f' {svc_name}: ...')
try:
ret_code, stdout, stderr = package.svc_manager.status()
except svcm_exc.ServiceManagerCommandError as e:
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}: Setup'
f' service: Get initial service status: {svc_name}:'
f' {e}')
# Try to setup, as a service (expectedly) doesn't exist and
# checking it's status naturally would yield an error.
try:
package.svc_manager.setup()
except svcm_exc.ServiceManagerCommandError as e:
err_msg = (f'Execute: {pkg_id.pkg_name}: Setup service:'
f' {svc_name}: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
else:
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}: Setup'
f' service: Get initial service status: {svc_name}:'
f' stdout[{stdout}] stderr[{stderr}]')
svc_status = str(stdout).strip().rstrip('\n')
# Try to remove existing service
try:
if svc_status == SVC_STATUS.RUNNING:
package.svc_manager.stop()
package.svc_manager.remove()
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}: Remove'
f' existing service: {svc_name}: OK')
except svcm_exc.ServiceManagerCommandError as e:
err_msg = (f'Execute: {pkg_id.pkg_name}: Remove existing'
f' service: {svc_name}: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
# Setup a replacement service
try:
package.svc_manager.setup()
ret_code, stdout, stderr = (package.svc_manager.status())
svc_status = str(stdout).strip().rstrip('\n')
except svcm_exc.ServiceManagerCommandError as e:
err_msg = (f'Execute: {pkg_id.pkg_name}: Setup replacement'
f' service: {svc_name}: {e}')
raise cr_exc.SetupCommandError(err_msg) from e
else:
if svc_status != SVC_STATUS.STOPPED:
err_msg = (f'Execute: {pkg_id.pkg_name}: Setup'
f' replacement service: {svc_name}:'
f' Invalid status: {svc_status}')
raise cr_exc.SetupCommandError(err_msg)
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}: Setup service:'
f' {svc_name}: OK')
else:
LOG.debug(f'{msg_src}: Execute: {pkg_id.pkg_name}: Setup service:'
f' NOP')
def _deploy_dcos_conf(self):
"""Deploy aggregated DC/OS configuration object."""
# TODO: This should be made standalone and then reused in command
# manager classes CmdSetup and CmdUpgrade to avoid code
# duplication
LOG.debug(f'{self.msg_src}: Execute: Deploy aggregated config: ...')
template = self.config.dcos_conf.get('template')
values = self.config.dcos_conf.get('values')
rendered = template.render(values)
config = yaml.safe_load(rendered)
assert config.keys() == {"package"}
# Write out the individual files
for file_info in config["package"]:
assert file_info.keys() <= {"path", "content", "permissions"}
path = Path(file_info['path'].replace('\\', os.path.sep))
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(file_info['content'] or '')
# On Windows, we don't interpret permissions yet
LOG.debug(f'{self.msg_src}: Execute: Deploy aggregated config: OK')
@command_type(CLI_COMMAND.START)
class CmdStart(Command):
"""Start command implementation."""
def __init__(self, **cmd_opts):
"""Constructor."""
self.msg_src = self.__class__.__name__
super(CmdStart, self).__init__(**cmd_opts)
self.config = cmdconf.create(**self.cmd_opts)
LOG.debug(f'{self.msg_src}: cmd_opts: {self.cmd_opts}')
def verify_cmd_options(self):
"""Verify command options."""
pass
def execute(self):
"""Execute command."""
# TODO: Implement DC/OS installation state detection here (alike how
# it's done in CmdSetup.execute() or CmdSetup.execute()) to
# allow attempts to start services only if
# istate == ISTATE.INSTALLED:
pkg_manifests = (
self.config.inst_storage.get_pkgactive(PackageManifest.load)
)
packages_bulk = {
m.pkg_id.pkg_name: Package(manifest=m) for m in pkg_manifests
}
for package in cr_utl.pkg_sort_by_deps(packages_bulk):
pkg_id = package.manifest.pkg_id
mheading = f'{self.msg_src}: Execute: {pkg_id.pkg_name}'
# TODO: This part should be replaced with
# Package.handle_svc_start() method
if package.svc_manager:
svc_name = package.svc_manager.svc_name
LOG.debug(f'{mheading}: Start service: {svc_name}: ...')
try:
self.service_start(package.svc_manager)
except (svcm_exc.ServiceError,
svcm_exc.ServiceManagerError) as e:
LOG.error(f'{mheading}: Start service:'
f' {type(e).__name__}: {e}')
else:
LOG.debug(f'{mheading}: Start service: {svc_name}: OK')
else:
LOG.debug(f'{mheading}: Start service: NOP')
@cm_utl.retry_on_exc((svcm_exc.ServiceManagerCommandError,
svcm_exc.ServiceTransientError), max_attempts=3)
def service_start(self, svc_manager):
"""Start a system service.
:param svc_manager: WindowsServiceManager, service manager object
"""
# TODO: Functionality of this method should be moved to the
# Package.handle_svc_start() method
svc_name = svc_manager.svc_name
# Discover initial service status
try:
ret_code, stdout, stderr = svc_manager.status()
except svcm_exc.ServiceManagerCommandError as e:
err_msg = f'Get initial service status: {svc_name}: {e}'
raise type(e)(err_msg) from e # Subject to retry
else:
log_msg = (f'Get initial service status: {svc_name}:'
f'stdout[{stdout}] stderr[{stderr}]')
LOG.debug(log_msg)
svc_status = str(stdout).strip().rstrip('\n')
# Manage service appropriately to its status
if svc_status == SVC_STATUS.STOPPED:
# Start a service
try:
svc_manager.start()
except svcm_exc.ServiceManagerCommandError as e:
err_msg = f'Start service: {svc_name}: {e}'
raise type(e)(err_msg) from e # Subject to retry
# Verify that service is running
try:
ret_code, stdout, stderr = svc_manager.status()
LOG.debug(f'Get final service status: {svc_name}:'
f'stdout[{stdout}] stderr[{stderr}]')
svc_status = str(stdout).strip().rstrip('\n')
if svc_status == SVC_STATUS.START_PENDING:
msg = f'Service is starting: {svc_name}'
LOG.debug(msg)
raise svcm_exc.ServiceTransientError(msg) # Subject to retry
elif svc_status != SVC_STATUS.RUNNING:
err_msg = (f'Start service: {svc_name}: Failed:'
f' {svc_status}')
raise svcm_exc.ServicePersistentError(err_msg)
except svcm_exc.ServiceManagerCommandError as e:
err_msg = f'Get final service status: {svc_name}: {e}'
raise type(e)(err_msg) from e # Subject to retry
elif svc_status == SVC_STATUS.START_PENDING:
msg = f'Service is starting: {svc_name}: ...'
LOG.debug(msg)
raise svcm_exc.ServiceTransientError(msg) # Subject to retry
elif svc_status == SVC_STATUS.RUNNING:
LOG.debug(f'Service is already running: {svc_name}')
else:
err_msg = f'Invalid service status: {svc_name}: {svc_status}'
raise svcm_exc.ServicePersistentError(err_msg)
| 42.374607 | 81 | 0.578387 | 4,647 | 40,383 | 4.799225 | 0.090381 | 0.019505 | 0.019729 | 0.022061 | 0.796386 | 0.781365 | 0.767241 | 0.743969 | 0.722133 | 0.709981 | 0 | 0.000221 | 0.326598 | 40,383 | 952 | 82 | 42.419118 | 0.819887 | 0.202115 | 0 | 0.709677 | 0 | 0 | 0.194868 | 0.007552 | 0 | 0 | 0 | 0.011555 | 0.006452 | 1 | 0.058065 | false | 0.008065 | 0.037097 | 0.003226 | 0.109677 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
2d4a74d80e7ca12edf9fa024d3e0f9a34e70cf37 | 1,084 | py | Python | jp.atcoder/abc059/arc072_a/8228095.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-09T03:06:25.000Z | 2022-02-09T03:06:25.000Z | jp.atcoder/abc059/arc072_a/8228095.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-05T22:53:18.000Z | 2022-02-09T01:29:30.000Z | jp.atcoder/abc059/arc072_a/8228095.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | null | null | null | # c_WA2.py よりはWAが減った
n = int(input())
a = [int(a) for a in input().split()]
times = 0
sum_prefix = a[0]
for i in range(1, n):
if sum_prefix < 0:
if sum_prefix + a[i] > 0:
sum_prefix += a[i]
else:
times += 1 - (sum_prefix + a[i])
sum_prefix = 1
elif sum_prefix > 0:
if sum_prefix + a[i] < 0:
sum_prefix += a[i]
else:
times += abs(-1 - (sum_prefix + a[i]))
sum_prefix = -1
times2 = 0
if a[0] > 0:
times2 += abs(-1 - a[0])
sum_prefix = -1
else:
times2 += 1 - a[0]
sum_prefix = 1
for i in range(1, n):
if sum_prefix < 0:
if sum_prefix + a[i] > 0:
sum_prefix = sum_prefix + a[i]
else:
times2 += 1 - (sum_prefix + a[i])
sum_prefix = 1
elif sum_prefix > 0:
if sum_prefix + a[i] < 0:
sum_prefix = sum_prefix + a[i]
else:
times2 += abs(-1 - (sum_prefix + a[i]))
sum_prefix = -1
print(min(times, times2))
| 24.088889 | 52 | 0.453875 | 161 | 1,084 | 2.89441 | 0.15528 | 0.482833 | 0.27897 | 0.283262 | 0.759657 | 0.759657 | 0.703863 | 0.703863 | 0.703863 | 0.596567 | 0 | 0.05625 | 0.409594 | 1,084 | 44 | 53 | 24.636364 | 0.671875 | 0.016605 | 0 | 0.657895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.026316 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 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 | 7 |
2d906dfbb5c1a5c19483b5b184524f45a569b4bc | 78 | py | Python | plotting/__init__.py | chrvt/Inflation-Deflation | e19dc603e711df32821f4380acefc88ff64645a4 | [
"MIT"
] | null | null | null | plotting/__init__.py | chrvt/Inflation-Deflation | e19dc603e711df32821f4380acefc88ff64645a4 | [
"MIT"
] | null | null | null | plotting/__init__.py | chrvt/Inflation-Deflation | e19dc603e711df32821f4380acefc88ff64645a4 | [
"MIT"
] | null | null | null | from .plots import plt_latent_distribution
from .plots import plt_latent_fom
| 26 | 43 | 0.858974 | 12 | 78 | 5.25 | 0.583333 | 0.285714 | 0.47619 | 0.571429 | 0.761905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115385 | 78 | 2 | 44 | 39 | 0.913043 | 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 | 0 | 0 | 0 | 7 |
930d34ce5dcbf8d25c1c5913cb5b24b5608ece0c | 37,418 | py | Python | tests/test_libfv.py | source-foundry/font-v | 590c9f540cf73ffccc2a1907b186d16b296729e5 | [
"MIT"
] | 14 | 2017-09-15T23:29:03.000Z | 2021-12-06T12:48:39.000Z | tests/test_libfv.py | source-foundry/font-v | 590c9f540cf73ffccc2a1907b186d16b296729e5 | [
"MIT"
] | 135 | 2017-09-05T13:33:29.000Z | 2022-03-28T08:03:02.000Z | tests/test_libfv.py | source-foundry/font-v | 590c9f540cf73ffccc2a1907b186d16b296729e5 | [
"MIT"
] | 6 | 2018-10-23T14:49:17.000Z | 2021-12-01T22:47:37.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import math
import os
import os.path
import re
import pytest
from fontTools.ttLib import TTFont, TTLibError
from fontv.libfv import FontVersion
# TEST FONT FILE CREATION
# fv = FontVersion("testfiles/Hack-Regular.ttf")
#
# fv.version_string_parts = ['Version 1.010']
# fv.write_version_string(fontpath="testfiles/Test-VersionOnly.ttf")
#
# fv.version_string_parts = ["Version 1.010", "DEV"]
# fv.write_version_string(fontpath="testfiles/Test-VersionDEV.ttf")
#
# fv.version_string_parts = ["Version 1.010", "RELEASE"]
# fv.write_version_string(fontpath="testfiles/Test-VersionREL.ttf")
#
# fv.version_string_parts = ["Version 1.010", "[abcd123]"]
# fv.write_version_string(fontpath="testfiles/Test-VersionSha.ttf")
#
# fv.version_string_parts = ["Version 1.010", "[abcd123]", "metadata string"]
# fv.write_version_string(fontpath="testfiles/Test-VersionShaMeta.ttf")
#
# fv.version_string_parts = ["Version 1.010", "[abcd123]-dev"]
# fv.write_version_string(fontpath="testfiles/Test-VersionShaDEV.ttf")
#
# fv.version_string_parts = ["Version 1.010", "[abcd123]-release"]
# fv.write_version_string(fontpath="testfiles/Test-VersionShaREL.ttf")
#
# fv.version_string_parts = ["Version 1.010", "metadata string"]
# fv.write_version_string(fontpath="testfiles/Test-VersionMeta.ttf")
#
# fv.version_string_parts = ["Version 1.010", "metadata string", "another metadata string"]
# fv.write_version_string(fontpath="testfiles/Test-VersionMoreMeta.ttf")
#
# fv.version_string_parts = ["Version 1.010", "DEV", "metadata string"]
# fv.write_version_string(fontpath="testfiles/Test-VersionDEVMeta.ttf")
#
# fv.version_string_parts = ["Version 1.010", "RELEASE", "metadata string"]
# fv.write_version_string(fontpath="testfiles/Test-VersionRELMeta.ttf")
#
# fv.version_string_parts = ["Version 1.010", "[abcd123]-dev", "metadata string"]
# fv.write_version_string(fontpath="testfiles/Test-VersionShaDEVMeta.ttf")
#
# fv.version_string_parts = ["Version 1.010", "[abcd123]-release", "metadata string"]
# fv.write_version_string(fontpath="testfiles/Test-VersionShaRELMeta.ttf")
# Test file version strings (ttf shown, otf with same paths include the same version strings)
# Test-VersionDEV.ttf:
# Version 1.010;DEV
# Test-VersionDEVMeta.ttf:
# Version 1.010;DEV;metadata string
# Test-VersionMeta.ttf:
# Version 1.010;metadata string
# Test-VersionMoreMeta.ttf:
# Version 1.010;metadata string;another metadata string
# Test-VersionOnly.ttf:
# Version 1.010
# Test-VersionREL.ttf:
# Version 1.010;RELEASE
# Test-VersionRELMeta.ttf:
# Version 1.010;RELEASE;metadata string
# Test-VersionSha.ttf:
# Version 1.010;[abcd123]
# Test-VersionShaMeta.ttf:
# Version 1.010;[abcd123];metadata string
# Test-VersionShaDEV.ttf:
# Version 1.010;[abcd123]-dev
# Test-VersionShaDEVMeta.ttf:
# Version 1.010;[abcd123]-dev;metadata string
# Test-VersionShaREL.ttf:
# Version 1.010;[abcd123]-release
# Test-VersionShaRELMeta.ttf:
# Version 1.010;[abcd123]-release;metadata string
all_testfiles_list = [
"tests/testfiles/Test-VersionDEV.ttf",
"tests/testfiles/Test-VersionDEVMeta.ttf",
"tests/testfiles/Test-VersionMeta.ttf",
"tests/testfiles/Test-VersionMoreMeta.ttf",
"tests/testfiles/Test-VersionOnly.ttf",
"tests/testfiles/Test-VersionREL.ttf",
"tests/testfiles/Test-VersionRELMeta.ttf",
"tests/testfiles/Test-VersionSha.ttf",
"tests/testfiles/Test-VersionShaMeta.ttf",
"tests/testfiles/Test-VersionShaDEV.ttf",
"tests/testfiles/Test-VersionShaDEVMeta.ttf",
"tests/testfiles/Test-VersionShaREL.ttf",
"tests/testfiles/Test-VersionShaRELMeta.ttf",
"tests/testfiles/Test-VersionDEV.otf",
"tests/testfiles/Test-VersionDEVMeta.otf",
"tests/testfiles/Test-VersionMeta.otf",
"tests/testfiles/Test-VersionMoreMeta.otf",
"tests/testfiles/Test-VersionOnly.otf",
"tests/testfiles/Test-VersionREL.otf",
"tests/testfiles/Test-VersionRELMeta.otf",
"tests/testfiles/Test-VersionSha.otf",
"tests/testfiles/Test-VersionShaMeta.otf",
"tests/testfiles/Test-VersionShaDEV.otf",
"tests/testfiles/Test-VersionShaDEVMeta.otf",
"tests/testfiles/Test-VersionShaREL.otf",
"tests/testfiles/Test-VersionShaRELMeta.otf",
]
meta_testfiles_list = [
"tests/testfiles/Test-VersionMeta.ttf",
"tests/testfiles/Test-VersionMoreMeta.ttf",
"tests/testfiles/Test-VersionMeta.otf",
"tests/testfiles/Test-VersionMoreMeta.otf",
]
dev_testfiles_list = [
"tests/testfiles/Test-VersionDEV.ttf",
"tests/testfiles/Test-VersionDEVMeta.ttf",
"tests/testfiles/Test-VersionShaDEV.ttf",
"tests/testfiles/Test-VersionShaDEVMeta.ttf",
"tests/testfiles/Test-VersionDEV.otf",
"tests/testfiles/Test-VersionDEVMeta.otf",
"tests/testfiles/Test-VersionShaDEV.otf",
"tests/testfiles/Test-VersionShaDEVMeta.otf",
]
rel_testfiles_list = [
"tests/testfiles/Test-VersionREL.ttf",
"tests/testfiles/Test-VersionRELMeta.ttf",
"tests/testfiles/Test-VersionShaREL.ttf",
"tests/testfiles/Test-VersionShaRELMeta.ttf",
"tests/testfiles/Test-VersionREL.otf",
"tests/testfiles/Test-VersionRELMeta.otf",
"tests/testfiles/Test-VersionShaREL.otf",
"tests/testfiles/Test-VersionShaRELMeta.otf",
]
state_testfiles_list = [
"tests/testfiles/Test-VersionSha.ttf",
"tests/testfiles/Test-VersionShaMeta.ttf",
"tests/testfiles/Test-VersionShaDEV.ttf",
"tests/testfiles/Test-VersionShaREL.ttf",
"tests/testfiles/Test-VersionShaDEVMeta.ttf",
"tests/testfiles/Test-VersionShaRELMeta.ttf",
"tests/testfiles/Test-VersionSha.otf",
"tests/testfiles/Test-VersionShaMeta.otf",
"tests/testfiles/Test-VersionShaDEV.otf",
"tests/testfiles/Test-VersionShaREL.otf",
"tests/testfiles/Test-VersionShaDEVMeta.otf",
"tests/testfiles/Test-VersionShaRELMeta.otf",
]
# pytest fixtures for parametrized testing of various groupings of test files
@pytest.fixture(params=all_testfiles_list)
def allfonts(request):
return request.param
@pytest.fixture(params=meta_testfiles_list)
def metafonts(request):
return request.param
@pytest.fixture(params=dev_testfiles_list)
def devfonts(request):
return request.param
@pytest.fixture(params=rel_testfiles_list)
def relfonts(request):
return request.param
@pytest.fixture(params=state_testfiles_list)
def statefonts(request):
return request.param
# utilities for testing
def _test_hexadecimal_sha1_formatted_string_matches(needle):
p = re.compile(r"""\[[(a-f|0-9)]{7,15}\]""")
m = p.match(needle)
if m is None:
return False
else:
return True
def _test_hexadecimal_sha1_string_matches(needle):
p = re.compile("""[(a-f|0-9)]{7,15}""")
m = p.match(needle)
if m is None:
return False
else:
return True
def _get_mock_missing_nameid5_ttfont(filepath):
ttf = TTFont(filepath)
record_list = []
for record in ttf["name"].names:
if record.nameID == 5:
pass
else:
record_list.append(record)
ttf["name"].names = record_list
return ttf
# TESTS
#
#
# BEGIN FontVersion INSTANTIATION TESTS
#
#
def test_libfv_missing_file_read_attempt():
with pytest.raises(IOError):
fv = FontVersion("tests/testfiles/bogus.ttf")
def test_libfv_nonfont_file_read_attempt():
with pytest.raises(TTLibError):
fv = FontVersion("tests/testfiles/test.txt")
def test_libfv_mocked_missing_name_tables_attempt():
with pytest.raises(IndexError):
ttf = _get_mock_missing_nameid5_ttfont("tests/testfiles/Test-VersionOnly.ttf")
fv = FontVersion(ttf)
def test_libfv_fontversion_obj_instantiation_with_filepath_string(allfonts):
fv = FontVersion(allfonts)
def test_libfv_fontversion_obj_instantiation_with_ttfont_object(allfonts):
ttf = TTFont(allfonts)
fv1 = FontVersion(ttf)
fv2 = FontVersion(allfonts)
assert fv1.fontpath == fv2.fontpath
assert fv1.version_string_parts == fv2.version_string_parts
assert fv1.develop_string == fv2.develop_string
assert fv1.release_string == fv2.release_string
assert fv1.sha1_develop == fv2.sha1_develop
assert fv1.sha1_release == fv2.sha1_release
assert fv1.version == fv2.version
assert fv1.metadata == fv2.metadata
assert fv1.contains_status == fv2.contains_status
assert fv1.contains_metadata == fv2.contains_metadata
assert fv1.is_release == fv2.is_release
assert fv1.is_development == fv2.is_development
def test_libfv_version_string_property_set_on_instantiation(allfonts):
fv = FontVersion(allfonts)
assert fv.version == "Version 1.010"
def test_libfv_version_string_property_set_on_instantiation_ttfont_object(allfonts):
ttf = TTFont(allfonts)
fv = FontVersion(ttf)
assert fv.version == "Version 1.010"
def test_libfv_head_fontrevision_property_set_on_instantiation(allfonts):
fv = FontVersion(allfonts)
assert math.isclose(fv.head_fontRevision, 1.010, abs_tol=0.00001)
def test_libfv_head_fontrevision_property_set_on_instantiation_ttfont_object(allfonts):
ttf = TTFont(allfonts)
fv = FontVersion(ttf)
assert math.isclose(fv.head_fontRevision, 1.010, abs_tol=0.00001)
def test_libfv_fontversion_object_parameter_properties_defaults(allfonts):
fv = FontVersion(allfonts)
assert fv.develop_string == "DEV"
assert fv.release_string == "RELEASE"
assert fv.sha1_develop == "-dev"
assert fv.sha1_release == "-release"
def test_libfv_fontversion_object_parameter_properties_defaults_ttfont_object(allfonts):
ttf = TTFont(allfonts)
fv = FontVersion(ttf)
assert fv.develop_string == "DEV"
assert fv.release_string == "RELEASE"
assert fv.sha1_develop == "-dev"
assert fv.sha1_release == "-release"
def test_libfv_fontversion_object_properties_truth_defaults():
fv1 = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
fv2 = FontVersion("tests/testfiles/Test-VersionOnly.otf")
assert fv1.contains_metadata is False
assert fv1.contains_status is False
assert fv1.is_development is False
assert fv1.is_release is False
assert fv2.contains_metadata is False
assert fv2.contains_status is False
assert fv2.is_development is False
assert fv2.is_release is False
def test_libfv_fontversion_object_properties_truth_defaults_ttfont_object():
ttf1 = TTFont("tests/testfiles/Test-VersionOnly.ttf")
fv1 = FontVersion(ttf1)
ttf2 = TTFont("tests/testfiles/Test-VersionOnly.otf")
fv2 = FontVersion(ttf2)
assert fv1.contains_metadata is False
assert fv1.contains_status is False
assert fv1.is_development is False
assert fv1.is_release is False
assert fv2.contains_metadata is False
assert fv2.contains_status is False
assert fv2.is_development is False
assert fv2.is_release is False
def test_libfv_fontversion_object_properties_truth_defaults_with_metaonly(metafonts):
fv = FontVersion(metafonts)
assert fv.contains_metadata is True
assert fv.contains_status is False
assert fv.is_development is False
assert fv.is_release is False
def test_libfv_fontversion_object_properties_truth_defaults_with_metaonly_ttfont_object(
metafonts,
):
ttf = TTFont(metafonts)
fv = FontVersion(ttf)
assert fv.contains_metadata is True
assert fv.contains_status is False
assert fv.is_development is False
assert fv.is_release is False
def test_libfv_fontversion_object_properties_truth_development(devfonts):
fv = FontVersion(devfonts)
assert fv.contains_metadata is True
assert fv.contains_status is True
assert fv.is_development is True
assert fv.is_release is False
def test_libfv_fontversion_object_properties_truth_development_ttfont_object(devfonts):
ttf = TTFont(devfonts)
fv = FontVersion(ttf)
assert fv.contains_metadata is True
assert fv.contains_status is True
assert fv.is_development is True
assert fv.is_release is False
def test_libfv_fontversion_object_properties_truth_release(relfonts):
fv = FontVersion(relfonts)
assert fv.contains_metadata is True
assert fv.contains_status is True
assert fv.is_development is False
assert fv.is_release is True
def test_libfv_fontversion_object_properties_truth_release_ttfont_object(relfonts):
ttf = TTFont(relfonts)
fv = FontVersion(ttf)
assert fv.contains_metadata is True
assert fv.contains_status is True
assert fv.is_development is False
assert fv.is_release is True
def test_libfv_fontversion_object_properties_truth_sha(statefonts):
fv = FontVersion(statefonts)
assert fv.contains_state is True
assert len(fv.state) > 0
def test_libfv_fontversion_object_properties_truth_sha_ttfont_object(statefonts):
ttf = TTFont(statefonts)
fv = FontVersion(ttf)
assert fv.contains_state is True
assert len(fv.state) > 0
def test_libfv_fontversion_object_properties_truth_state_versionstring_only():
fv1 = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
fv2 = FontVersion("tests/testfiles/Test-VersionOnly.otf")
assert fv1.contains_state is False
assert fv2.contains_state is False
assert len(fv1.state) == 0
assert len(fv2.state) == 0
def test_libfv_fontversion_object_properties_truth_state_meta_without_state():
fv1 = FontVersion("tests/testfiles/Test-VersionMeta.ttf")
fv2 = FontVersion("tests/testfiles/Test-VersionMeta.otf")
fv3 = FontVersion("tests/testfiles/Test-VersionMoreMeta.ttf")
fv4 = FontVersion("tests/testfiles/Test-VersionMoreMeta.otf")
assert fv1.contains_state is False
assert fv2.contains_state is False
assert fv3.contains_state is False
assert fv4.contains_state is False
assert len(fv1.state) == 0
assert len(fv2.state) == 0
assert len(fv3.state) == 0
assert len(fv4.state) == 0
def test_libfv_fontversion_object_versionparts_meta_lists_versionstring_only():
fv1 = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
fv2 = FontVersion("tests/testfiles/Test-VersionOnly.otf")
assert len(fv1.version_string_parts) == 1
assert len(fv1.metadata) == 0
assert len(fv2.version_string_parts) == 1
assert len(fv2.metadata) == 0
def test_libfv_fontversion_object_versionparts_meta_lists_versionstring_only_ttfont_object():
ttf1 = TTFont("tests/testfiles/Test-VersionOnly.ttf")
fv1 = FontVersion(ttf1)
ttf2 = TTFont("tests/testfiles/Test-VersionOnly.otf")
fv2 = FontVersion(ttf2)
assert len(fv1.version_string_parts) == 1
assert len(fv1.metadata) == 0
assert len(fv2.version_string_parts) == 1
assert len(fv2.metadata) == 0
def test_libfv_fontversion_object_versionparts_meta_lists_version_with_onemeta():
fv1 = FontVersion("tests/testfiles/Test-VersionMeta.ttf")
assert len(fv1.version_string_parts) == 2
assert fv1.version_string_parts[0] == "Version 1.010"
assert fv1.version_string_parts[1] == "metadata string"
assert len(fv1.metadata) == 1
assert fv1.metadata[0] == "metadata string"
fv2 = FontVersion("tests/testfiles/Test-VersionMeta.otf")
assert len(fv2.version_string_parts) == 2
assert fv2.version_string_parts[0] == "Version 1.010"
assert fv2.version_string_parts[1] == "metadata string"
assert len(fv2.metadata) == 1
assert fv2.metadata[0] == "metadata string"
def test_libfv_fontversion_object_versionparts_meta_lists_version_with_onemeta_ttfont_object():
ttf1 = TTFont("tests/testfiles/Test-VersionMeta.ttf")
fv1 = FontVersion(ttf1)
assert len(fv1.version_string_parts) == 2
assert fv1.version_string_parts[0] == "Version 1.010"
assert fv1.version_string_parts[1] == "metadata string"
assert len(fv1.metadata) == 1
assert fv1.metadata[0] == "metadata string"
ttf2 = TTFont("tests/testfiles/Test-VersionMeta.otf")
fv2 = FontVersion(ttf2)
assert len(fv2.version_string_parts) == 2
assert fv2.version_string_parts[0] == "Version 1.010"
assert fv2.version_string_parts[1] == "metadata string"
assert len(fv2.metadata) == 1
assert fv2.metadata[0] == "metadata string"
def test_libfv_fontversion_object_versionparts_meta_lists_version_with_twometa():
fv = FontVersion("tests/testfiles/Test-VersionMoreMeta.ttf")
assert len(fv.version_string_parts) == 3
assert fv.version_string_parts[0] == "Version 1.010"
assert fv.version_string_parts[1] == "metadata string"
assert fv.version_string_parts[2] == "another metadata string"
assert len(fv.metadata) == 2
assert fv.metadata[0] == "metadata string"
assert fv.metadata[1] == "another metadata string"
fv2 = FontVersion("tests/testfiles/Test-VersionMoreMeta.otf")
assert len(fv2.version_string_parts) == 3
assert fv2.version_string_parts[0] == "Version 1.010"
assert fv2.version_string_parts[1] == "metadata string"
assert fv2.version_string_parts[2] == "another metadata string"
assert len(fv2.metadata) == 2
assert fv2.metadata[0] == "metadata string"
assert fv2.metadata[1] == "another metadata string"
def test_libfv_fontversion_object_versionparts_meta_lists_version_with_twometa_ttfont_object():
ttf1 = TTFont("tests/testfiles/Test-VersionMoreMeta.ttf")
fv1 = FontVersion(ttf1)
assert len(fv1.version_string_parts) == 3
assert fv1.version_string_parts[0] == "Version 1.010"
assert fv1.version_string_parts[1] == "metadata string"
assert fv1.version_string_parts[2] == "another metadata string"
assert len(fv1.metadata) == 2
assert fv1.metadata[0] == "metadata string"
assert fv1.metadata[1] == "another metadata string"
ttf2 = TTFont("tests/testfiles/Test-VersionMoreMeta.otf")
fv2 = FontVersion(ttf2)
assert len(fv2.version_string_parts) == 3
assert fv2.version_string_parts[0] == "Version 1.010"
assert fv2.version_string_parts[1] == "metadata string"
assert fv2.version_string_parts[2] == "another metadata string"
assert len(fv2.metadata) == 2
assert fv2.metadata[0] == "metadata string"
assert fv2.metadata[1] == "another metadata string"
#
#
# END FontVersion INSTANTIATION TESTS
#
#
#
#
# BEGIN FontVersion METHOD TESTS
#
#
def test_libfv_fontversion_object_str_method(allfonts):
fv = FontVersion(allfonts)
test_string = fv.__str__()
assert test_string.startswith("<fontv.libfv.FontVersion> ") is True
assert fv.get_name_id5_version_string() in test_string
assert fv.fontpath in test_string
def test_libfv_fontversion_object_equality(allfonts):
fv1 = FontVersion(allfonts)
fv2 = FontVersion(allfonts)
fv3 = FontVersion(allfonts)
fv3.version_string_parts[0] = "Version 12.000"
assert fv1 == fv2
assert (fv1 == fv3) is False
assert (fv1 == "test string") is False
assert (fv1 == fv1.version_string_parts) is False
def test_libfv_fontversion_object_inequality(allfonts):
fv1 = FontVersion(allfonts)
fv2 = FontVersion(allfonts)
fv3 = FontVersion(allfonts)
fv3.version_string_parts[0] = "Version 12.000"
assert (fv1 != fv2) is False
assert fv1 != fv3
assert fv1 != "test string"
assert fv1 != fv1.version_string_parts
def test_libfv_clear_metadata_method(allfonts):
fv = FontVersion(allfonts)
fv.clear_metadata()
assert len(fv.version_string_parts) == 1
assert fv.version_string_parts[0] == "Version 1.010"
def test_libfv_get_head_fontrevision_method(allfonts):
fv = FontVersion(allfonts)
assert math.isclose(
fv.get_head_fontrevision_version_number(), 1.010, abs_tol=0.00001
)
def test_libfv_get_metadata_method():
fv1 = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
fv2 = FontVersion("tests/testfiles/Test-VersionMeta.ttf")
fv3 = FontVersion("tests/testfiles/Test-VersionMoreMeta.ttf")
assert fv1.get_metadata_list() == []
assert fv2.get_metadata_list() == ["metadata string"]
assert fv3.get_metadata_list() == ["metadata string", "another metadata string"]
fv4 = FontVersion("tests/testfiles/Test-VersionOnly.otf")
fv5 = FontVersion("tests/testfiles/Test-VersionMeta.otf")
fv6 = FontVersion("tests/testfiles/Test-VersionMoreMeta.otf")
assert fv4.get_metadata_list() == []
assert fv5.get_metadata_list() == ["metadata string"]
assert fv6.get_metadata_list() == ["metadata string", "another metadata string"]
def test_libfv_get_status_method_onlyversion():
fv = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
status_string = fv.get_state_status_substring()
assert status_string == ""
def test_libfv_get_status_method_development(devfonts):
fv = FontVersion(devfonts)
status_string = fv.get_state_status_substring()
assert status_string == fv.version_string_parts[1]
def test_libfv_get_status_method_release(relfonts):
fv = FontVersion(relfonts)
status_string = fv.get_state_status_substring()
assert status_string == fv.version_string_parts[1]
def test_libfv_get_status_method_nostatus(metafonts):
fv = FontVersion(metafonts)
status_string = fv.get_state_status_substring()
assert status_string == ""
def test_libfv_is_state_substring_return_match_valid():
fv = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
is_state_substring, state_substring = fv._is_state_substring_return_state_match(
"[abcd123]"
)
assert is_state_substring is True
assert state_substring == "abcd123"
is_state_substring, state_substring = fv._is_state_substring_return_state_match(
"[abcd123]-dev"
)
assert is_state_substring is True
assert state_substring == "abcd123"
is_state_substring, state_substring = fv._is_state_substring_return_state_match(
"[abcd123]-release"
)
assert is_state_substring is True
assert state_substring == "abcd123"
def test_libfv_is_state_substring_return_match_invalid():
fv = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
is_state_substring, state_substring = fv._is_state_substring_return_state_match(
"abcd123"
)
assert is_state_substring is False
assert state_substring == ""
is_state_substring, state_substring = fv._is_state_substring_return_state_match(
"{abcd123}"
)
assert is_state_substring is False
assert state_substring == ""
is_state_substring, state_substring = fv._is_state_substring_return_state_match(
"[&%$#@!]"
)
assert is_state_substring is False
assert state_substring == ""
def test_libfv_get_version_number_string(allfonts):
fv = FontVersion(allfonts)
assert fv.get_version_number_string() == "1.010"
def test_libfv_get_version_number_string_bad_version_number():
fv = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
with pytest.raises(ValueError):
# mock a bad version number substring
fv.set_version_number("x.xxx")
assert fv.get_version_number_string() == ""
def test_libfv_get_version_number_tuple():
fv = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
assert fv.get_version_number_tuple() == (1, 0, 1, 0)
# mock new version numbers in memory and confirm that they are correct in tuples
fv.version = "Version 1.1"
assert fv.get_version_number_tuple() == (1, 1)
fv.version = "Version 1.01"
assert fv.get_version_number_tuple() == (1, 0, 1)
fv.version = "Version 1.001"
assert fv.get_version_number_tuple() == (1, 0, 0, 1)
fv.version = "Version 10.1"
assert fv.get_version_number_tuple() == (10, 1)
fv.version = "Version 10.01"
assert fv.get_version_number_tuple() == (10, 0, 1)
fv.version = "Version 10.001"
assert fv.get_version_number_tuple() == (10, 0, 0, 1)
fv.version = "Version 100.001"
assert fv.get_version_number_tuple() == (100, 0, 0, 1)
def test_libfv_get_version_number_tuple_bad_version_number():
fv = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
assert fv.get_version_number_tuple() == (1, 0, 1, 0)
with pytest.raises(ValueError):
# mock a bad version number substring
fv.set_version_number("x.xxx")
assert fv.get_version_number_tuple() is None
def test_libfv_get_name_id5_version_string_method():
fv1 = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
fv2 = FontVersion("tests/testfiles/Test-VersionMeta.ttf")
fv3 = FontVersion("tests/testfiles/Test-VersionMoreMeta.ttf")
assert fv1.get_name_id5_version_string() == "Version 1.010"
assert fv2.get_name_id5_version_string() == "Version 1.010;metadata string"
assert (
fv3.get_name_id5_version_string()
== "Version 1.010;metadata string;another metadata string"
)
fv4 = FontVersion("tests/testfiles/Test-VersionOnly.otf")
fv5 = FontVersion("tests/testfiles/Test-VersionMeta.otf")
fv6 = FontVersion("tests/testfiles/Test-VersionMoreMeta.otf")
assert fv4.get_name_id5_version_string() == "Version 1.010"
assert fv5.get_name_id5_version_string() == "Version 1.010;metadata string"
assert (
fv6.get_name_id5_version_string()
== "Version 1.010;metadata string;another metadata string"
)
def test_libfv_set_development_method_on_versiononly():
fv = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
assert len(fv.version_string_parts) == 1
fv.set_development_status()
assert len(fv.version_string_parts) == 2
assert fv.version_string_parts[0] == "Version 1.010"
assert fv.version_string_parts[1] == "DEV"
assert fv.is_development is True
assert fv.is_release is False
assert fv.contains_status is True
assert fv.contains_metadata is True
fv2 = FontVersion("tests/testfiles/Test-VersionOnly.otf")
assert len(fv2.version_string_parts) == 1
fv2.set_development_status()
assert len(fv2.version_string_parts) == 2
assert fv2.version_string_parts[0] == "Version 1.010"
assert fv2.version_string_parts[1] == "DEV"
assert fv2.is_development is True
assert fv2.is_release is False
assert fv2.contains_status is True
assert fv2.contains_metadata is True
def test_libfv_set_development_method_on_release(relfonts):
fv = FontVersion(relfonts)
prelength = len(fv.version_string_parts)
fv.set_development_status()
postlength = len(fv.version_string_parts)
assert prelength == postlength
assert fv.version_string_parts[0] == "Version 1.010"
assert fv.version_string_parts[1] == "DEV"
assert fv.is_development is True
assert fv.is_release is False
assert fv.contains_status is True
assert fv.contains_metadata is True
def test_libfv_set_development_method_on_development(devfonts):
fv = FontVersion(devfonts)
prelength = len(fv.version_string_parts)
fv.set_development_status()
postlength = len(fv.version_string_parts)
assert prelength == postlength
assert fv.version_string_parts[0] == "Version 1.010"
assert fv.version_string_parts[1] == "DEV"
assert fv.is_development is True
assert fv.is_release is False
assert fv.contains_status is True
assert fv.contains_metadata is True
def test_libfv_set_development_method_on_nostatus(metafonts):
fv = FontVersion(metafonts)
prelength = len(fv.version_string_parts)
fv.set_development_status()
postlength = len(fv.version_string_parts)
assert prelength == (
postlength - 1
) # should add an additional substring to the version string here
assert fv.version_string_parts[0] == "Version 1.010"
assert fv.version_string_parts[1] == "DEV"
assert fv.is_development is True
assert fv.is_release is False
assert fv.contains_status is True
assert fv.contains_metadata is True
def test_libfv_set_release_method_on_versiononly():
fv = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
assert len(fv.version_string_parts) == 1
fv.set_release_status()
assert len(fv.version_string_parts) == 2
assert fv.version_string_parts[0] == "Version 1.010"
assert fv.version_string_parts[1] == "RELEASE"
assert fv.is_development is False
assert fv.is_release is True
assert fv.contains_status is True
assert fv.contains_metadata is True
fv2 = FontVersion("tests/testfiles/Test-VersionOnly.otf")
assert len(fv2.version_string_parts) == 1
fv2.set_release_status()
assert len(fv2.version_string_parts) == 2
assert fv2.version_string_parts[0] == "Version 1.010"
assert fv2.version_string_parts[1] == "RELEASE"
assert fv2.is_development is False
assert fv2.is_release is True
assert fv2.contains_status is True
assert fv2.contains_metadata is True
def test_libfv_set_release_method_on_release(relfonts):
fv = FontVersion(relfonts)
prelength = len(fv.version_string_parts)
fv.set_release_status()
postlength = len(fv.version_string_parts)
assert prelength == postlength
assert fv.version_string_parts[0] == "Version 1.010"
assert fv.version_string_parts[1] == "RELEASE"
assert fv.is_development is False
assert fv.is_release is True
assert fv.contains_status is True
assert fv.contains_metadata is True
def test_libfv_set_release_method_on_development(devfonts):
fv = FontVersion(devfonts)
prelength = len(fv.version_string_parts)
fv.set_release_status()
postlength = len(fv.version_string_parts)
assert prelength == postlength
assert fv.version_string_parts[0] == "Version 1.010"
assert fv.version_string_parts[1] == "RELEASE"
assert fv.is_development is False
assert fv.is_release is True
assert fv.contains_status is True
assert fv.contains_metadata is True
def test_libfv_set_release_method_on_nostatus(metafonts):
fv = FontVersion(metafonts)
prelength = len(fv.version_string_parts)
fv.set_release_status()
postlength = len(fv.version_string_parts)
assert prelength == (
postlength - 1
) # should add an additional substring to the version string here
assert fv.version_string_parts[0] == "Version 1.010"
assert fv.version_string_parts[1] == "RELEASE"
assert fv.is_development is False
assert fv.is_release is True
assert fv.contains_status is True
assert fv.contains_metadata is True
def test_libfv_set_gitsha1_bad_parameters_raises_valueerror(allfonts):
with pytest.raises(ValueError):
fv = FontVersion(allfonts)
fv.set_state_git_commit_sha1(development=True, release=True)
def test_libfv_set_default_gitsha1_method(allfonts):
fv = FontVersion(allfonts)
fv.set_state_git_commit_sha1()
sha_needle = fv.version_string_parts[1]
assert (
_test_hexadecimal_sha1_formatted_string_matches(sha_needle) is True
) # confirm that set with state label
assert (
_test_hexadecimal_sha1_string_matches(fv.state) is True
) # confirm that state property is properly set
assert ("-dev" in sha_needle) is False
assert ("-release" in sha_needle) is False
assert ("DEV" in sha_needle) is False
assert ("RELEASE" in sha_needle) is False
def test_libfv_set_development_gitsha1_method(allfonts):
fv = FontVersion(allfonts)
fv.set_state_git_commit_sha1(development=True)
sha_needle = fv.version_string_parts[1]
assert (
_test_hexadecimal_sha1_formatted_string_matches(sha_needle) is True
) # confirm that set with state label
assert (
_test_hexadecimal_sha1_string_matches(fv.state) is True
) # confirm that state property is properly set
assert ("-dev" in sha_needle) is True
assert ("-release" in sha_needle) is False
assert ("DEV" in sha_needle) is False
assert ("RELEASE" in sha_needle) is False
def test_libfv_set_release_gitsha1_method(allfonts):
fv = FontVersion(allfonts)
fv.set_state_git_commit_sha1(release=True)
sha_needle = fv.version_string_parts[1]
assert (
_test_hexadecimal_sha1_formatted_string_matches(sha_needle) is True
) # confirm that set with state label
assert (
_test_hexadecimal_sha1_string_matches(fv.state) is True
) # confirm that state property is properly set
assert ("-dev" in sha_needle) is False
assert ("-release" in sha_needle) is True
assert ("DEV" in sha_needle) is False
assert ("RELEASE" in sha_needle) is False
def test_libfv_set_gitsha1_both_dev_release_error(capsys):
fv = FontVersion("tests/testfiles/Test-VersionMeta.ttf")
with pytest.raises(ValueError) as pytest_wrapped_e:
fv.set_state_git_commit_sha1(release=True, development=True)
out, err = capsys.readouterr()
assert pytest_wrapped_e.type == ValueError
def test_libfv_set_version_number(allfonts):
fv = FontVersion(allfonts)
prelength = len(fv.version_string_parts)
fv.set_version_number("2.000")
postlength = len(fv.version_string_parts)
assert prelength == postlength
assert fv.version_string_parts[0] == "Version 2.000"
assert fv.version == "Version 2.000"
assert fv.head_fontRevision == 2.000
def test_libfv_set_version_number_invalid_number(allfonts):
fv = FontVersion(allfonts)
with pytest.raises(ValueError):
# mock a bad version number substring
fv.set_version_number("x.xxx")
response = fv.get_version_number_string()
assert len(response) == 0
def test_libfv_set_version_string_one_substring():
fv = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
fv.set_version_string("Version 2.000")
assert len(fv.version_string_parts) == 1
assert fv.version_string_parts[0] == "Version 2.000"
assert fv.version == "Version 2.000"
assert fv.head_fontRevision == 2.000
fv2 = FontVersion("tests/testfiles/Test-VersionOnly.otf")
fv2.set_version_string("Version 2.000")
assert len(fv2.version_string_parts) == 1
assert fv2.version_string_parts[0] == "Version 2.000"
assert fv2.version == "Version 2.000"
assert fv2.head_fontRevision == 2.000
def test_libfv_set_version_string_two_substrings():
fv = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
fv.set_version_string("Version 2.000;DEV")
assert len(fv.version_string_parts) == 2
assert fv.version_string_parts[0] == "Version 2.000"
assert fv.version_string_parts[1] == "DEV"
assert fv.version == "Version 2.000"
assert fv.head_fontRevision == 2.000
fv2 = FontVersion("tests/testfiles/Test-VersionOnly.otf")
fv2.set_version_string("Version 2.000;DEV")
assert len(fv2.version_string_parts) == 2
assert fv2.version_string_parts[0] == "Version 2.000"
assert fv2.version_string_parts[1] == "DEV"
assert fv.version == "Version 2.000"
assert fv.head_fontRevision == 2.000
def test_libfv_set_version_string_three_substrings():
fv = FontVersion("tests/testfiles/Test-VersionOnly.ttf")
fv.set_version_string("Version 2.000;DEV;other stuff")
assert len(fv.version_string_parts) == 3
assert fv.version_string_parts[0] == "Version 2.000"
assert fv.version_string_parts[1] == "DEV"
assert fv.version_string_parts[2] == "other stuff"
assert fv.version == "Version 2.000"
assert fv.head_fontRevision == 2.000
fv2 = FontVersion("tests/testfiles/Test-VersionOnly.otf")
fv2.set_version_string("Version 2.000;DEV;other stuff")
assert len(fv2.version_string_parts) == 3
assert fv2.version_string_parts[0] == "Version 2.000"
assert fv2.version_string_parts[1] == "DEV"
assert fv2.version_string_parts[2] == "other stuff"
assert fv2.version == "Version 2.000"
assert fv2.head_fontRevision == 2.000
def test_libfv_write_version_string_method(allfonts):
temp_out_file_path = os.path.join(
"tests", "testfiles", "Test-Temp.ttf"
) # temp file write path
fv = FontVersion(allfonts)
fv.set_version_number("2.000")
fv.write_version_string(fontpath=temp_out_file_path)
fv2 = FontVersion(temp_out_file_path)
assert fv2.version_string_parts[0] == "Version 2.000"
assert fv2.version == "Version 2.000"
assert fv2.head_fontRevision == 2.000
# modify again to test write to same temp file path without use of the fontpath parameter in
# order to test the block of code where that is handled
fv2.set_version_number("3.000")
fv2.write_version_string()
fv3 = FontVersion(temp_out_file_path)
assert fv3.version_string_parts[0] == "Version 3.000"
assert fv3.version == "Version 3.000"
assert fv3.head_fontRevision == 3.000
os.remove(temp_out_file_path)
def test_libfv_write_version_string_method_ttfont_object(allfonts):
temp_out_file_path = os.path.join(
"tests", "testfiles", "Test-Temp.ttf"
) # temp file write path
ttf = TTFont(allfonts)
fv = FontVersion(ttf)
fv.set_version_number("2.000")
fv.write_version_string(fontpath=temp_out_file_path)
fv2 = FontVersion(temp_out_file_path)
assert fv2.version_string_parts[0] == "Version 2.000"
assert fv2.version == "Version 2.000"
assert fv2.head_fontRevision == 2.000
# modify again to test write to same temp file path without use of the fontpath parameter in
# order to test the block of code where that is handled
fv2.set_version_number("3.000")
fv2.write_version_string()
fv3 = FontVersion(temp_out_file_path)
assert fv3.version_string_parts[0] == "Version 3.000"
assert fv3.version == "Version 3.000"
assert fv3.head_fontRevision == 3.000
os.remove(temp_out_file_path)
| 34.710575 | 96 | 0.737693 | 5,032 | 37,418 | 5.241256 | 0.051073 | 0.080344 | 0.083946 | 0.051566 | 0.891598 | 0.849208 | 0.809661 | 0.753811 | 0.724539 | 0.683173 | 0 | 0.030955 | 0.159095 | 37,418 | 1,077 | 97 | 34.742804 | 0.807246 | 0.101582 | 0 | 0.670185 | 0 | 0 | 0.184148 | 0.126257 | 0 | 0 | 0 | 0 | 0.435356 | 1 | 0.097625 | false | 0.001319 | 0.010554 | 0.006596 | 0.121372 | 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 |
9354ca7eb2b7d86783ac0f789f7e453d5ae37a5f | 7,135 | py | Python | Calculate_power_absorbed_cylinders_0_2.py | mkraft89/To_eels_app | 9e2fc6d501f51130b12164997f40cb7e0ec5a654 | [
"Unlicense"
] | null | null | null | Calculate_power_absorbed_cylinders_0_2.py | mkraft89/To_eels_app | 9e2fc6d501f51130b12164997f40cb7e0ec5a654 | [
"Unlicense"
] | null | null | null | Calculate_power_absorbed_cylinders_0_2.py | mkraft89/To_eels_app | 9e2fc6d501f51130b12164997f40cb7e0ec5a654 | [
"Unlicense"
] | null | null | null | import numpy as np
from math import factorial
gamma = 0.32
n = np.arange(0,30,1)
ep0 = 8.85e-12
epD = 1.0
c = 3e8
Conv = 1.602e-19/6.626e-34*2*np.pi #Conversion from eV to SI-units
def Pow_abs_vert(R0, R1, R2, g2, x_e, c_e, omega):
"""Calculate the power absorbed for two nearly
touching cylinders if an electron passes them
along their vertical axis.
Output: Resistive losses as a function of omega
Variable:
R0 = inversion point
R1 = inner radius of dielectric shell
R2 = outer radius of dielectric shell
g2 = scaling factor g^2
x_e = electrons position
c_e = electron velocity
omega = angular frequency in eV
"""
epM = 1-64/(omega*(omega+1j*gamma))
epD = 1.
omega = omega*Conv
beta = 2 * epD / (epM+epD)
alpha = (epM-epD) / (epM+epD)
an_p = np.zeros(np.size(n), dtype='complex128')
an_n = np.zeros(np.size(n), dtype='complex128')
###Lambda = 4*pi*eps0 in expression for source coefficients
###Calculate lambda according to formula in Yu's document
###on EELS in nearly touching cylinders
for k_n in range(1,np.size(n)):
k_s = n[1:k_n+1]
sum_k_n = 0
sum_k_p = 0
for m in k_s:
sum_k_p += factorial(k_n-1) * (1j*omega*g2/c_e/R0)**m\
/ (factorial(m) * factorial(m-1) * \
factorial(k_n - m))
sum_k_n += factorial(k_n-1) * (-1j*omega*g2/c_e/R0)**m\
/ (factorial(m) * factorial(m-1) * \
factorial(k_n - m))
an_p[k_n] = (-1j)**k_n * np.exp(omega/c_e*(1j*g2/R0-x_e))\
/ omega * sum_k_p
an_n[k_n] = (1j)**k_n * np.exp(-omega/c_e*x_e)\
/ omega * sum_k_n
#Calculate expansion coefficients as in Yu's document
fin_p = - beta * 1./(alpha**2-(R2/R1)**(2*n))\
* (R2/R1)**(2*n) * an_p
fin_n = beta * 1./(alpha**2-(R2/R1)**(2*n))\
* alpha * (R0/R1)**(2*n) * an_n
fon_p = beta * 1./(alpha**2-(R2/R1)**(2*n))\
* alpha * (R2/R0)**(2*n) * an_p
fon_n = - beta * 1./(alpha**2-(R2/R1)**(2*n))\
* (R2/R1)**(2*n) * an_n
#Calculate the power absorption
Term1 = sum(n * (R1/R0)**(2*n) * (abs(fin_n)**2 + abs(fin_p)**2))
Term2 = sum(n * (R0/R2)**(2*n) * (abs(fon_n)**2 + abs(fon_p)**2))
return np.pi * ep0 * omega * np.imag(epM) * (Term1+Term2)
def Pow_abs_hori(R0, R1, R2, g2, y_e, c_e, omega):
"""Calculate the power absorbed for two nearly
touching cylinders if an electron passes them
horizontally but outside the gap and not through
the cylinders.
Output: Resistive losses as a function of omega
Variable:
R0 = inversion point
R1 = inner radius of dielectric shell
R2 = outer radius of dielectric shell
g2 = scaling factor g^2
y_e = electrons position vertical position
c_e = electron velocity
omega = angular frequency in eV
"""
epM = 1-64/(omega*(omega+1j*gamma))
epD = 1.
omega = omega*Conv
beta = 2 * epD / (epM+epD)
alpha = (epM-epD) / (epM+epD)
an_p = np.zeros(np.size(n), dtype='complex128')
an_n = np.zeros(np.size(n), dtype='complex128')
###Lambda = 4*pi*eps0 in expression for source coefficients
###Calculate lambda according to formula in Yu's document
###on EELS in nearly touching cylinders
for k_n in range(1,np.size(n)):
k_s = n[1:k_n+1]
sum_k_n = 0
sum_k_p = 0
for m in k_s:
sum_k_p += factorial(k_n-1) * (-omega*g2/c_e/R0)**m\
/ (factorial(m) * factorial(m-1) * \
factorial(k_n - m))
sum_k_n += factorial(k_n-1) * (+omega*g2/c_e/R0)**m\
/ (factorial(m) * factorial(m-1) * \
factorial(k_n - m))
an_n[k_n] = (1j)**k_n * np.exp(omega/c_e*(g2/R0-y_e))\
/ omega * sum_k_n
an_p[k_n] = (-1j)**k_n * np.exp(-omega/c_e*y_e)\
/ omega * sum_k_p
#Calculate expansion coefficients as in Yu's document
fin_n = - beta * 1./(alpha**2-(R2/R1)**(2*n))\
* (R2/R1)**(2*n) * an_n
fin_p = beta * 1./(alpha**2-(R2/R1)**(2*n))\
* alpha * (R0/R1)**(2*n) * an_p
fon_n = beta * 1./(alpha**2-(R2/R1)**(2*n))\
* alpha * (R2/R0)**(2*n) * an_n
fon_p = - beta * 1./(alpha**2-(R2/R1)**(2*n))\
* (R2/R1)**(2*n) * an_p
#Calculate the power absorption
Term1 = sum(n * (R1/R0)**(2*n) * (abs(fin_n)**2 + abs(fin_p)**2))
Term2 = sum(n * (R0/R2)**(2*n) * (abs(fon_n)**2 + abs(fon_p)**2))
return np.pi * ep0 * omega * np.imag(epM) * (Term1+Term2)
def Pow_abs_gap(R0, R1, R2, g2, y_e, c_e, omega):
"""Calculate the power absorbed for two nearly
touching cylinders if an electron passes them
horizontally exactly through the gap between the
cylinders.
Output: Resistive losses as a function of omega
Variable:
R0 = inversion point
R1 = inner radius of dielectric shell
R2 = outer radius of dielectric shell
g2 = scaling factor g^2
y_e = electrons position vertical position
c_e = electron velocity
omega = angular frequency in eV
"""
epM = 1-64/(omega*(omega+1j*gamma))
epD = 1.
omega = omega*Conv
beta = 2 * epD / (epM+epD)
alpha = (epM-epD) / (epM+epD)
aS_p = np.zeros(np.size(n), dtype='complex128')
aS_n = np.zeros(np.size(n), dtype='complex128')
###Lambda = 4*pi*eps0 in expression for source coefficients
###Calculate lambda according to formula in Yu's document
###on EELS in nearly touching cylinders
for k_n in range(1,np.size(n)):
k_s = n[1:k_n+1]
sum_k_n = 0
sum_k_p = 0
for m in k_s:
sum_k_p += factorial(k_n-1) * (-omega*g2/c_e/R0)**m\
/ (factorial(m) * factorial(m-1) * \
factorial(k_n - m))
sum_k_n += factorial(k_n-1) * (-omega*g2/c_e/R0)**m\
/ (factorial(m) * factorial(m-1) * \
factorial(k_n - m))
aS_p[k_n] = (-1j)**k_n * np.exp(omega/c_e*(-g2/R0+y_e))\
/ omega * sum_k_n
aS_n[k_n] = (-1j)**k_n * np.exp(-omega/c_e*y_e)\
/ omega * sum_k_p
#Calculate expansion coefficients as in Yu's document
bn_p = alpha * 1./(alpha**2-(R2/R1)**(2*n))\
* ((R0/R1)**(2*n)*aS_n - alpha*aS_p)
cn_p = alpha * 1./(alpha**2-(R2/R1)**(2*n))\
* ((R2/R0)**(2*n)*aS_p - alpha*aS_n)
fin_p = epD / epM * \
(bn_p + aS_p - cn_p*(R0/R1)**(2*n))
fon_p = epD / epM * \
(cn_p + aS_n - bn_p*(R2/R0)**(2*n))
#Calculate the power absorption
Term1 = sum(n * (R1/R0)**(2*n) * abs(fin_p)**2)
Term2 = sum(n * (R0/R2)**(2*n) * abs(fon_p)**2)
return np.pi * ep0 * omega * np.imag(epM) * (Term1+Term2)
if __name__ == "__main__":
print 'Error: Supposed to be called as a function, not main module.'
| 31.995516 | 72 | 0.53609 | 1,164 | 7,135 | 3.141753 | 0.122852 | 0.021329 | 0.019688 | 0.02297 | 0.889527 | 0.882964 | 0.882964 | 0.882964 | 0.874214 | 0.851518 | 0 | 0.056786 | 0.303994 | 7,135 | 222 | 73 | 32.13964 | 0.679621 | 0.10007 | 0 | 0.580357 | 0 | 0 | 0.02623 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.017857 | null | null | 0.008929 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fa8e415770ceff55cae51b87497939526f0c2ad7 | 65 | py | Python | pysymspell/__init__.py | Yididya/amharic_spell_corrector | 5e70fb19af3acb004d985a1820e6f9d4f4d569fa | [
"MIT"
] | 17 | 2018-07-10T18:16:42.000Z | 2022-03-27T18:20:57.000Z | pysymspell/__init__.py | Yididya/amharic_spell_corrector | 5e70fb19af3acb004d985a1820e6f9d4f4d569fa | [
"MIT"
] | 2 | 2021-03-20T09:05:38.000Z | 2022-02-11T20:24:29.000Z | pysymspell/__init__.py | Yididya/amharic_spell_corrector | 5e70fb19af3acb004d985a1820e6f9d4f4d569fa | [
"MIT"
] | 8 | 2018-07-10T18:28:37.000Z | 2022-02-03T16:50:42.000Z | from .symspell import EditDistance
from .symspell import SymSpell | 32.5 | 34 | 0.861538 | 8 | 65 | 7 | 0.5 | 0.428571 | 0.642857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107692 | 65 | 2 | 35 | 32.5 | 0.965517 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 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 |
fabcadba192a707b5b428810bbb87d2b5fc71d06 | 47 | py | Python | exts/maticodes.viewport.reticle/maticodes/viewport/reticle/__init__.py | matiascodesal/omni-camera-reticle | 2a48fddcba07cb5cdfcf959ad977983bd36e2f7a | [
"Apache-2.0"
] | null | null | null | exts/maticodes.viewport.reticle/maticodes/viewport/reticle/__init__.py | matiascodesal/omni-camera-reticle | 2a48fddcba07cb5cdfcf959ad977983bd36e2f7a | [
"Apache-2.0"
] | null | null | null | exts/maticodes.viewport.reticle/maticodes/viewport/reticle/__init__.py | matiascodesal/omni-camera-reticle | 2a48fddcba07cb5cdfcf959ad977983bd36e2f7a | [
"Apache-2.0"
] | null | null | null | from .extension import CameraReticleExtension
| 23.5 | 46 | 0.87234 | 4 | 47 | 10.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106383 | 47 | 1 | 47 | 47 | 0.97619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 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 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
87a0475a9ddab5a22903e7d1309a5957a8d53f10 | 274 | py | Python | pytradfri/__init__.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | pytradfri/__init__.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | pytradfri/__init__.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | """Implement an API wrapper around Ikea Tradfri."""
from .error import PytradfriError, RequestError, ClientError, ServerError, RequestTimeout
from .gateway import Gateway
__all__ = ["Gateway", "PytradfriError", "RequestError", "ClientError", "ServerError", "RequestTimeout"] | 68.5 | 103 | 0.784672 | 26 | 274 | 8.115385 | 0.653846 | 0.246446 | 0.350711 | 0.454976 | 0.587678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.094891 | 274 | 4 | 103 | 68.5 | 0.850806 | 0.164234 | 0 | 0 | 0 | 0 | 0.308036 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
87c6e02f60cb7cb80968368c017700cbd9dc7f8d | 38,846 | py | Python | config/rules.py | zhouhongf/spider_news | 6ea4a80d050bf3ab70724f45312c5a2580e714a6 | [
"MIT"
] | 2 | 2021-11-27T06:40:44.000Z | 2022-02-23T11:19:11.000Z | config/rules.py | zhouhongf/spider_news | 6ea4a80d050bf3ab70724f45312c5a2580e714a6 | [
"MIT"
] | null | null | null | config/rules.py | zhouhongf/spider_news | 6ea4a80d050bf3ab70724f45312c5a2580e714a6 | [
"MIT"
] | 1 | 2021-12-15T09:11:16.000Z | 2021-12-15T09:11:16.000Z | #!/usr/bin/env python
from collections import namedtuple
from urllib.parse import urlencode, urlparse, urljoin, quote, unquote
from myspiders.base import BaseField, Bs4TextField, Bs4HtmlField, Bs4AttrField, Bs4AttrTextField, JsonField, JsonMultiField
import re
import time
from config.target import Target
# type_main格式规定为2个中文字
# type_next格式规定为4个中文字
# 新闻，公告，业务，活动
# 新闻：来源本行，来源媒体
# 公告：采购公告，招聘公告，服务公告，其他公告
class Rules:
pattern_string = re.compile(r'^((?!(【详情】|【详细】|更多)).)*$')
pattern_date = re.compile(r'20[0-9]{2}[-年/][01]?[0-9][-月/][0123]?[0-9]日?')
pattern_sina = re.compile(r'https://finance.sina.com.cn/.+/doc-.+\.(shtml|shtm|html|htm)')
RULES_NEWS = {
Target(
bank_name='新浪财经',
type_main='新闻',
type_next='首页要闻',
url='http://finance.sina.com.cn/money/bank/',
selectors=[
Bs4AttrTextField(target='href', name='a', attrs={'href': pattern_sina}, string=pattern_string),
]
),
Target(
bank_name='新浪财经',
type_main='新闻',
type_next='监管政策',
url='http://finance.sina.com.cn/roll/index.d.html?cid=56689&page=1',
selectors=[
Bs4AttrTextField(target='href', name='a', attrs={'href': pattern_sina}, string=pattern_string),
]
),
Target(
bank_name='新浪财经',
type_main='新闻',
type_next='公司动态',
url='http://finance.sina.com.cn/roll/index.d.html?cid=80798&page=1',
selectors=[
Bs4AttrTextField(target='href', name='a', attrs={'href': pattern_sina}, string=pattern_string),
]
),
Target(
bank_name='新浪财经',
type_main='新闻',
type_next='产品业务',
url='http://finance.sina.com.cn/roll/index.d.html?cid=56693&page=1',
selectors=[
Bs4AttrTextField(target='href', name='a', attrs={'href': pattern_sina}, string=pattern_string),
]
),
Target(
bank_name='新浪财经',
type_main='新闻',
type_next='理财要闻',
url='http://finance.sina.com.cn/money/',
selectors=[
Bs4HtmlField(attrs={'id': re.compile(r'subShowContent1_news[0-9]')}),
Bs4AttrTextField(target='href', name='a', attrs={'href': pattern_sina}, string=pattern_string),
]
),
Target(
bank_name='新浪财经',
type_main='新闻',
type_next='理财要闻',
url='http://finance.sina.com.cn/money/',
selectors=[
Bs4AttrTextField(target='href',
css_select='div[id^="subShowContent1_news"] .news-item h2 a[href*="/doc-"]'),
]
),
}
# 每次仅爬取首页内容
RULES = {
Target(
bank_name='工商银行',
type_main='新闻',
type_next='来源本行',
url='http://www.icbc.com.cn/icbc/%e5%b7%a5%e8%a1%8c%e9%a3%8e%e8%b2%8c/%e5%b7%a5%e8%a1%8c%e5%bf%ab%e8%ae%af/default.htm',
selectors=[
Bs4AttrTextField(target='href', attrs={'class': 'data-collecting-sign textgs'}),
Bs4HtmlField(attrs={'id': 'MyFreeTemplateUserControl'}, many=False)
]
),
Target(
bank_name='中国银行',
type_main='新闻',
type_next='来源本行',
url='https://www.boc.cn/aboutboc/bi1/index.html',
selectors=[
Bs4AttrTextField(target='href', css_select='.news ul.list li a'),
Bs4HtmlField(css_select='.content.con_area .TRS_Editor', many=False)
]
),
Target(
bank_name='中国银行',
type_main='公告',
type_next='其他公告',
url='https://www.boc.cn/custserv/bi2/index.html',
selectors=[
Bs4AttrTextField(target='href', css_select='.news ul.list li a'),
Bs4HtmlField(css_select='.content.con_area .TRS_Editor', many=False)
]
),
Target(
bank_name='中国银行',
type_main='公告',
type_next='采购公告',
url='https://www.boc.cn/aboutboc/bi6/index.html',
selectors=[
Bs4AttrTextField(target='href', css_select='.news ul.list li a'),
Bs4HtmlField(css_select='.content.con_area .TRS_Editor', many=False)
]
),
Target(
bank_name='农业银行',
type_main='新闻',
type_next='来源本行',
url='http://www.abchina.com/cn/AboutABC/nonghzx/NewsCenter/default.htm',
selectors=[
Bs4AttrTextField(target='href', css_select='.details_rightC.fl a'),
Bs4HtmlField(css_select='.details_right .TRS_Editor', many=False)
]
),
Target(
bank_name='农业银行',
type_main='公告',
type_next='采购公告',
url='http://www.abchina.com/cn/AboutABC/CG/BM/default.htm',
selectors=[
Bs4AttrTextField(target='href', name='a', attrs={'href': re.compile(r'\.htm|\.html')}, string=re.compile(r'公告')),
Bs4HtmlField(css_select='.content_right_detail .TRS_Editor', many=False)
]
),
Target(
bank_name='农业银行',
type_main='公告',
type_next='采购公告',
url='http://www.abchina.com/cn/AboutABC/CG/Purchase/default.htm',
selectors=[
Bs4AttrTextField(target='href', name='a', attrs={'href': re.compile(r'\.htm|\.html')}, string=re.compile(r'公告')),
Bs4HtmlField(css_select='.content_right_detail .TRS_Editor', many=False)
]
),
# 建设银行 的还有各省份分行 分支 有待爬取
Target(
bank_name='建设银行',
type_main='新闻',
type_next='来源本行',
url='http://www.ccb.com/cn/v3/include/notice/zxgg_1.html',
selectors=[
Bs4AttrTextField(target='href', name='a', attrs={'href': re.compile(r'\.htm|\.html'), 'class': 'blue3', 'title': True}),
Bs4HtmlField(attrs={'id': 'ti'}, many=False)
]
),
Target(
bank_name='交通银行',
type_main='新闻',
type_next='来源本行',
url='http://www.bankcomm.com/BankCommSite/shtml/jyjr/cn/7158/7162/list_1.shtml',
selectors=[
Bs4AttrTextField(target='href', css_select='.main ul.tzzgx-conter.ty-list li a'),
Bs4HtmlField(attrs={'class': 'show_main c_content'}, many=False)
]
),
Target(
bank_name='邮储银行',
type_main='新闻',
type_next='来源本行',
url='http://www.psbc.com/cn/index/syycxw/index.html',
selectors=[
Bs4AttrTextField(target='href', css_select='#article_1 li.clearfix a'),
Bs4HtmlField(attrs={'class': 'news_cont_msg'}, many=False)
]
),
Target(
bank_name='邮储银行',
type_main='公告',
type_next='其他公告',
url='http://www.psbc.com/cn/index/ggl/index.html',
selectors=[
Bs4AttrTextField(target='href', css_select='#article_1 li.clearfix a'),
Bs4HtmlField(attrs={'class': 'news_cont_msg'}, many=False)
]
),
Target(
bank_name='中信银行',
type_main='新闻',
type_next='来源本行',
url='http://www.citicbank.com/about/companynews/banknew/message/%s/index.html' % time.strftime('%Y'),
selectors=[
Bs4AttrTextField(target='href', css_select='#business ul.dhy_b li a'),
Bs4HtmlField(attrs={'class': re.compile(r'TRS_Editor|main_content')}, many=False)
]
),
Target(
bank_name='中信银行',
type_main='新闻',
type_next='来源本行',
url='http://www.citicbank.com/about/companynews/zxsh/',
selectors=[
Bs4AttrTextField(target='href', css_select='#business ul.dhy_b li a'),
Bs4HtmlField(attrs={'class': re.compile(r'TRS_Editor|main_content')}, many=False)
]
),
Target(
bank_name='中信银行',
type_main='公告',
type_next='服务公告',
url='http://www.citicbank.com/common/servicenotice/',
selectors=[
Bs4AttrTextField(target='href', css_select='#business ul.dhy_b li a'),
Bs4HtmlField(attrs={'class': re.compile(r'TRS_Editor|main_content')}, many=False)
]
),
Target(
bank_name='招商银行',
type_main='新闻',
type_next='来源本行',
url='http://www.cmbchina.com/cmbinfo/news/',
selectors=[
Bs4AttrTextField(target='href', css_select='#column_content span.c_title a'),
Bs4HtmlField(attrs={'class': re.compile(r'infodiv|c_content')}, many=False)
]
),
Target(
bank_name='招商银行',
type_main='新闻',
type_next='来源本行',
url='http://www.cmbchina.com/cmbinfo/news/',
selectors=[
Bs4AttrTextField(target='href', css_select='#column_content span.c_title a'),
Bs4HtmlField(css_select='#column_content .c_content', many=False)
]
),
Target(
bank_name='民生银行',
type_main='新闻',
type_next='来源本行',
url='http://www.cmbc.com.cn/jrms/msdt/msxw/index.htm',
selectors=[
Bs4AttrTextField(target='href', css_select='li.left_ul520 a'),
Bs4HtmlField(css_select='.counter_mid .count_table', many=False)
]
),
Target(
bank_name='民生银行',
type_main='新闻',
type_next='来源本行',
url='http://www.cmbc.com.cn/jrms/msdt/mtgz/index.htm',
selectors=[
Bs4AttrTextField(target='href', css_select='li.left_ul520 a'),
Bs4HtmlField(css_select='.counter_mid .count_table', many=False)
]
),
Target(
bank_name='民生银行',
type_main='公告',
type_next='其他公告',
url='http://www.cmbc.com.cn/zdtj/zygg/index.htm',
selectors=[
Bs4AttrTextField(target='href', css_select='li.left_ul520 a'),
Bs4HtmlField(css_select='.counter_mid_1 .count_one', many=False)
]
),
Target(
bank_name='民生银行',
type_main='新闻',
type_next='来源本行',
url='http://www.cmbc.com.cn/jrms/msdt/fykyzq/index.htm',
selectors=[
Bs4AttrTextField(target='href', css_select='li.left_ul520 a'),
Bs4HtmlField(css_select='.counter_mid .count_table', many=False)
]
),
# 浦发银行的采购公告是PDF文件格式，后期再添加解析PDF文件的功能
Target(
bank_name='浦发银行',
type_main='新闻',
type_next='来源本行',
url='https://news.spdb.com.cn/about_spd/xwdt_1632/index.shtml',
selectors=[
Bs4AttrTextField(target='href', css_select='.c_news_body ul li a'),
Bs4HtmlField(css_select='.fixed_width .TRS_Editor', many=False)
]
),
Target(
bank_name='浦发银行',
type_main='新闻',
type_next='来源本行',
url='https://news.spdb.com.cn/about_spd/media/index.shtml',
selectors=[
Bs4AttrTextField(target='href', css_select='.c_news_body ul li a'),
Bs4HtmlField(css_select='.fixed_width .TRS_Editor', many=False)
]
),
Target(
bank_name='兴业银行',
type_main='新闻',
type_next='来源本行',
url='https://www.cib.com.cn/cn/aboutCIB/about/news/',
selectors=[
Bs4AttrTextField(target='href', css_select='.list-box .middle ul:nth-of-type(2) li a'),
Bs4HtmlField(css_select='.detail-box .middle', many=False)
]
),
Target(
bank_name='兴业银行',
type_main='公告',
type_next='其他公告',
url='https://www.cib.com.cn/cn/aboutCIB/about/notice/',
selectors=[
Bs4AttrTextField(target='href', css_select='.list-box .middle ul:nth-of-type(2) li a'),
Bs4HtmlField(css_select='.detail-box .middle', many=False)
]
),
Target(
bank_name='平安银行',
type_main='新闻',
type_next='来源本行',
url='http://bank.pingan.com/ir/gonggao/xinwen/index.shtml',
selectors=[
Bs4AttrTextField(target='href', css_select='.span10 ul.list li a'),
Bs4HtmlField(css_select='.container .row:last-of-type .span10 .row .span10 .box', many=False)
]
),
Target(
bank_name='广发银行',
type_main='新闻',
type_next='来源本行',
url='http://www.cgbchina.com.cn/Channel/11625977',
selectors=[
Bs4AttrTextField(target='href', css_select='ul.newList li a'),
Bs4HtmlField(css_select='#textContent .textContent', many=False)
]
),
Target(
bank_name='广发银行',
type_main='公告',
type_next='其他公告',
url='http://www.cgbchina.com.cn/Channel/11640277',
selectors=[
Bs4AttrTextField(target='href', css_select='ul.newList li a'),
Bs4HtmlField(attrs={'id': 'textContent'}, many=False)
]
),
Target(
bank_name='光大银行',
type_main='新闻',
type_next='来源本行',
url='http://www.cebbank.com/site/ceb/gddt/xnxw52/index.html',
selectors=[
Bs4AttrTextField(target='href', css_select='#main_con ul.gg_right_ul li a'),
Bs4HtmlField(css_select='.gd_xilan .xilan_con', many=False)
]
),
Target(
bank_name='光大银行',
type_main='新闻',
type_next='来源本行',
url='http://www.cebbank.com/site/ceb/gddt/mtgz/index.html',
selectors=[
Bs4AttrTextField(target='href', css_select='#main_con ul.gg_right_ul li a'),
Bs4HtmlField(css_select='.gd_xilan .xilan_con', many=False)
]
),
Target(
bank_name='光大银行',
type_main='公告',
type_next='其他公告',
url='http://www.cebbank.com/site/zhpd/zxgg35/gdgg10/index.html',
selectors=[
Bs4AttrTextField(target='href', css_select='#gg_right ul.gg_right_ul li a'),
Bs4HtmlField(css_select='.gd_xilan .xilan_con', many=False)
]
),
Target(
bank_name='光大银行',
type_main='公告',
type_next='采购公告',
url='http://www.cebbank.com/site/zhpd/zxgg35/cggg/index.html',
selectors=[
Bs4AttrTextField(target='href', css_select='#gg_right ul.gg_right_ul li a'),
Bs4HtmlField(css_select='.gd_xilan .xilan_con', many=False)
]
),
Target(
bank_name='光大银行',
type_main='公告',
type_next='采购公告',
url='http://www.cebbank.com/site/zhpd/zxgg35/cgjggg/index.html',
selectors=[
Bs4AttrTextField(target='href', css_select='#gg_right ul.gg_right_ul li a'),
Bs4HtmlField(css_select='.gd_xilan .xilan_con', many=False)
]
),
Target(
bank_name='华夏银行',
type_main='新闻',
type_next='来源本行',
url='http://www.hxb.com.cn/jrhx/hxzx/hxxw/index.shtml',
selectors=[
Bs4AttrTextField(target='href', css_select='.pro_contlist ul li.pro_contli a'),
Bs4HtmlField(attrs={'id': 'content'}, many=False)
]
),
Target(
bank_name='华夏银行',
type_main='公告',
type_next='其他公告',
url='http://www.hxb.com.cn/jrhx/khfw/zxgg/index.shtml',
selectors=[
Bs4AttrTextField(target='href', css_select='.pro_contlist ul li.pro_contli a'),
Bs4HtmlField(attrs={'id': 'content'}, many=False)
]
),
Target(
bank_name='浙商银行',
type_main='新闻',
type_next='来源本行',
url='http://www.czbank.com/cn/pub_info/news/',
selectors=[
Bs4AttrTextField(target='href', css_select='#content dd a'),
Bs4HtmlField(css_select='.cdv_content .TRS_Editor', many=False)
]
),
Target(
bank_name='浙商银行',
type_main='公告',
type_next='其他公告',
url='http://www.czbank.com/cn/pub_info/important_notice/',
selectors=[
Bs4AttrTextField(target='href', css_select='.list_content dd a'),
Bs4HtmlField(css_select='.cdv_content .TRS_Editor', many=False)
]
),
Target(
bank_name='浙商银行',
type_main='新闻',
type_next='来源本行',
url='http://www.czbank.com/cn/pub_info/Outside_reports/',
selectors=[
Bs4AttrTextField(target='href', css_select='.list_content dd a'),
Bs4HtmlField(css_select='.cdv_content .TRS_Editor', many=False)
]
),
Target(
bank_name='恒丰银行',
type_main='新闻',
type_next='来源本行',
url='http://www.hfbank.com.cn/gyhf/hfxw/index.shtml',
selectors=[
Bs4AttrTextField(target='href', css_select='#imgArticleList li h3 a'),
Bs4HtmlField(css_select='.infoArticle .articleCon', many=False)
]
),
Target(
bank_name='恒丰银行',
type_main='公告',
type_next='其他公告',
url='http://www.hfbank.com.cn/gryw/yhgg/index.shtml',
selectors=[
Bs4AttrTextField(target='href', css_select='.annWrap li h3 a'),
Bs4HtmlField(css_select='.infoArticle .articleCon', many=False)
]
),
Target(
bank_name='北京银行',
type_main='公告',
type_next='其他公告',
url='http://www.bankofbeijing.com.cn/about/gonggao.html',
selectors=[
Bs4AttrTextField(
target='href',
css_select='#area .content_left ul.sub_news li span a',
url_prefix='http://www.bankofbeijing.com.cn/'),
Bs4HtmlField(attrs={'id': 'con'}, many=False)
]
),
Target(
bank_name='贵阳银行',
type_main='公告',
type_next='其他公告',
url='https://www.bankgy.cn/portal/zh_CN/home/news/notice/list.html',
selectors=[
Bs4AttrTextField(
target='href',
css_select='.detailConter .mewlist ul li a[href^="news/notice/2020"]',
url_prefix='https://www.bankgy.cn/portal/zh_CN/home/'),
Bs4HtmlField(css_select='.detailConter .textConter', many=False)
]
),
Target(
bank_name='贵阳银行',
type_main='新闻',
type_next='来源本行',
url='https://www.bankgy.cn/portal/zh_CN/home/news/dynamic/list.html',
selectors=[
Bs4AttrTextField(
target='href',
css_select='.detailConter .mewlist ul li a[href^="news/dynamic/2020"]',
url_prefix='https://www.bankgy.cn/portal/zh_CN/home/'),
Bs4HtmlField(css_select='.detailConter .textConter', many=False)
]
),
Target(
bank_name='杭州银行',
type_main='公告',
type_next='其他公告',
url='http://www.hzbank.com.cn/hzyh/index/bxgg/index.html',
selectors=[
Bs4AttrTextField(
target='href',
css_select='#yc_main .portlet ul.new_list1 li span:first-of-type a[href^="/hzyh/index/bxgg/"]',
url_prefix='http://www.hzbank.com.cn/'),
Bs4HtmlField(css_select='#easysiteText', many=False)
]
),
Target(
bank_name='杭州银行',
type_main='新闻',
type_next='来源本行',
url='http://www.hzbank.com.cn/hzyh/index/bxkx/index.html',
selectors=[
Bs4AttrTextField(
target='href',
css_select='#yc_main .portlet ul.new_list1 li span:first-of-type a[href^="/hzyh/index/bxkx/"]',
url_prefix='http://www.hzbank.com.cn/'),
Bs4HtmlField(css_select='#easysiteText', many=False)
]
),
Target(
bank_name='江苏银行',
type_main='公告',
type_next='其他公告',
url='http://www.jsbchina.cn/CN/zygg/index.html?flag=0',
selectors=[
Bs4AttrTextField(
target='href',
css_select='#myTab0_Content ul a[href^="/CN/zygg/"]',
url_prefix='http://www.jsbchina.cn/'),
Bs4HtmlField(css_select='#myTab0_Content0', many=False)
]
),
Target(
bank_name='江苏银行',
type_main='新闻',
type_next='来源本行',
url='http://www.jsbchina.cn/CN/gywh/ggywh/gwhxx/index.html?flag=3',
selectors=[
Bs4AttrTextField(
target='href',
css_select='#myTab0_Content ul a[href^="/CN/gywh/ggywh/gwhxx/"]',
url_prefix='http://www.jsbchina.cn/'),
Bs4HtmlField(css_select='#myTab0_Content0', many=False)
]
),
Target(
bank_name='江苏银行',
type_main='新闻',
type_next='来源媒体',
url='http://www.jsbchina.cn/CN/gywh/ggywh/gmtgz/index.html?flag=1',
selectors=[
Bs4AttrTextField(
target='href',
css_select='#myTab0_Content ul a[href^="/CN/gywh/ggywh/gmtgz/"]',
url_prefix='http://www.jsbchina.cn/'),
Bs4HtmlField(css_select='#myTab0_Content0', many=False)
]
),
Target(
bank_name='南京银行',
type_main='公告',
type_next='其他公告',
url='http://www.njcb.com.cn/njcb/index/_301021/index.html',
selectors=[
Bs4AttrTextField(
target='href',
css_select='#right_lib .erjilib_mk .erjilib_mkcon .erji_libcon .erji_lib p.erji_libtit a',
url_prefix='http://www.njcb.com.cn'),
Bs4HtmlField(css_select='#news_content', many=False)
]
),
Target(
bank_name='南京银行',
type_main='新闻',
type_next='来源本行',
url='http://www.njcb.com.cn/njcb/gywx/xwzx/index.html',
selectors=[
Bs4AttrTextField(
target='href',
css_select='#right_lib .erjilib_mk .erjilib_mkcon .erji_libcon .erji_lib p.erji_libtit a',
url_prefix='http://www.njcb.com.cn'),
Bs4HtmlField(css_select='#news_content', many=False)
]
),
Target(
bank_name='南京银行',
type_main='新闻',
type_next='来源媒体',
url='http://www.njcb.com.cn/njcb/gywx/_300910/index.html',
selectors=[
Bs4AttrTextField(
target='href',
css_select='#right_lib .erjilib_mk .erjilib_mkcon .erji_libcon .erji_lib p.erji_libtit a',
url_prefix='http://www.njcb.com.cn'),
Bs4HtmlField(css_select='#news_content', many=False)
]
),
Target(
bank_name='宁波银行',
type_main='公告',
type_next='其他公告',
url='http://www.nbcb.com.cn/home/important_notices/',
selectors=[
Bs4AttrTextField(
target='href',
css_select='#ul_list li a',
url_prefix='http://www.nbcb.com.cn/home/important_notices/'),
Bs4HtmlField(css_select='#cms_wrapper .cms_cont', many=False)
]
),
Target(
bank_name='宁波银行',
type_main='新闻',
type_next='来源本行',
url='http://www.nbcb.com.cn/investor_relations/internal_news/',
selectors=[
Bs4AttrTextField(
target='href',
css_select='#ul_list li a',
url_prefix='http://www.nbcb.com.cn/investor_relations/internal_news/'),
Bs4HtmlField(css_select='#cms_wrapper .cms_cont', many=False)
]
),
Target(
bank_name='宁波银行',
type_main='新闻',
type_next='来源媒体',
url='http://www.nbcb.com.cn/investor_relations/media_release/',
selectors=[
Bs4AttrTextField(
target='href',
css_select='#ul_list li a',
url_prefix='http://www.nbcb.com.cn/investor_relations/media_release/'),
Bs4HtmlField(css_select='#cms_wrapper .cms_cont', many=False)
]
),
Target(
bank_name='青岛银行',
type_main='新闻',
type_next='来源媒体',
url='http://www.qdccb.com/qyxx/xnxx/mtkwx/index.shtml',
selectors=[
Bs4AttrTextField(
target='href',
css_select='.tableList tr td:nth-of-type(2) a[href^="/qyxx/xnxx/mtkwx/"]',
url_prefix='http://www.qdccb.com/'),
Bs4HtmlField(css_select='.main .second_right .second_rightContent', many=False)
]
),
Target(
bank_name='上海银行',
type_main='公告',
type_next='其他公告',
url='http://www.bosc.cn/zh/sy/sy_zxgg/index.shtml',
selectors=[
Bs4AttrTextField(
target='href',
css_select='ul.dzyhdt a[href^="/zh/sy/sy_zxgg/"]',
url_prefix='http://www.bosc.cn/'),
Bs4HtmlField(css_select='div.fr.w706 > div.m_smaBor.mt15 > div > div', many=False)
]
),
Target(
bank_name='上海银行',
type_main='新闻',
type_next='来源本行',
url='http://www.bosc.cn/zh/sy/sy_sykx/index.shtml',
selectors=[
Bs4AttrTextField(
target='href',
css_select='ul.dzyhdt a[href^="/zh/sy/sy_sykx/"]',
url_prefix='http://www.bosc.cn/'),
Bs4HtmlField(css_select='div.fr.w706 > div.m_smaBor.mt15 > div > div', many=False)
]
),
Target(
bank_name='苏州银行',
type_main='公告',
type_next='其他公告',
url='http://www.suzhoubank.com/icms/static/szbank/zh/0d6u9hrt/yvngsgtq/7d99gtx7/x1nwoo1t/pageInfo.txt',
selectors=[
JsonMultiField(json_select='url=title=date', url_prefix='http://www.suzhoubank.com/icms/'),
Bs4HtmlField(css_select='div.index-main > div.wp > div.fr.right > div.huodong > div.dzyh_main', many=False)
]
),
Target(
bank_name='苏州银行',
type_main='新闻',
type_next='来源本行',
url='http://www.suzhoubank.com/icms/static/szbank/zh/0d6u9hrt/yvngsgtq/7d99gtx7/46idcb1g/pageInfo.txt',
selectors=[
JsonMultiField(json_select='url=title=date', url_prefix='http://www.suzhoubank.com/icms/'),
Bs4HtmlField(css_select='div.index-main > div.wp > div.fr.right > div.huodong > div.dzyh_main', many=False)
]
),
Target(
bank_name='西安银行',
type_main='新闻',
type_next='来源本行',
url='https://www.xacbank.com/icms/static/xacbank2019/zh/jvsxapz8/jo1txlfm/y2zpei09/pageInfo.txt?t=%s' % int(time.time() * 1000),
selectors=[
JsonMultiField(json_select='url=title=date', url_prefix='https://www.xacbank.com/icms/'),
Bs4HtmlField(css_select='#text_css', many=False)
]
),
Target(
bank_name='长沙银行',
type_main='公告',
type_next='采购公告',
url='http://www.cscb.cn/home_noticeInfo_bidding_page1.html',
selectors=[
Bs4AttrTextField(target='href',
css_select='.box_cont .body_area .jd_list ul li a',
url_prefix='http://www.cscb.cn/'),
Bs4HtmlField(css_select='.body_area .img_wd_lie .sxd_sq', many=False)
]
),
Target(
bank_name='长沙银行',
type_main='公告',
type_next='服务公告',
url='http://www.cscb.cn/home_noticeInfo_announcement_page1.html',
selectors=[
Bs4AttrTextField(target='href',
css_select='.box_cont .body_area .jd_list ul li a',
url_prefix='http://www.cscb.cn/'),
Bs4HtmlField(css_select='.body_area .img_wd_lie .sxd_sq', many=False)
]
),
Target(
bank_name='长沙银行',
type_main='新闻',
type_next='来源本行',
url='http://www.cscb.cn/home_news_page1.html',
selectors=[
Bs4AttrTextField(target='href',
css_select='.box_cont .body_area .jd_list ul li a',
url_prefix='http://www.cscb.cn/'),
Bs4HtmlField(css_select='.body_area .img_wd_lie .sxd_sq', many=False)
]
),
Target(
bank_name='郑州银行',
type_main='公告',
type_next='其他公告',
url='http://www.zzbank.cn/about/zxdt/zxgg/',
selectors=[
Bs4AttrTextField(target='href',
css_select='.main_right .message_list .paginationBar ul li a',
url_prefix='http://www.zzbank.cn/about/zxdt/zxgg/'),
Bs4HtmlField(css_select='.main_right .message_list .TRS_Editor', many=False)
]
),
Target(
bank_name='郑州银行',
type_main='新闻',
type_next='来源本行',
url='http://www.zzbank.cn/about/zxdt/gsdt/',
selectors=[
Bs4AttrTextField(target='href',
css_select='.main_right .message_list .paginationBar ul li a',
url_prefix='http://www.zzbank.cn/about/zxdt/gsdt/'),
Bs4HtmlField(css_select='.main_right .message_list .TRS_Editor', many=False)
]
),
Target(
bank_name='郑州银行',
type_main='新闻',
type_next='来源媒体',
url='http://www.zzbank.cn/about/zxdt/mtbg/',
selectors=[
Bs4AttrTextField(target='href',
css_select='.main_right .message_list .paginationBar ul li a',
url_prefix='http://www.zzbank.cn/about/zxdt/mtbg/'),
Bs4HtmlField(css_select='.main_right .message_list .TRS_Editor', many=False)
]
),
Target(
bank_name='常熟银行',
type_main='公告',
type_next='采购公告',
url='http://www.csrcbank.com/yw/cgxx/cggg/',
selectors=[
Bs4AttrTextField(target='href',
css_select='ul#data li a',
url_prefix='http://www.csrcbank.com/yw/cgxx/cggg/'),
Bs4HtmlField(css_select='#tabstyle .TRS_Editor', many=False)
]
),
Target(
bank_name='常熟银行',
type_main='公告',
type_next='其他公告',
url='http://www.csrcbank.com/tb/tzgg/',
selectors=[
Bs4AttrTextField(target='href',
css_select='ul#data li a',
url_prefix='http://www.csrcbank.com/tb/tzgg/'),
Bs4HtmlField(css_select='#tabstyle .TRS_Editor', many=False)
]
),
Target(
bank_name='江阴银行',
type_main='公告',
type_next='其他公告',
url='http://www.jybank.com.cn/jybank/index/zygg/index.html',
selectors=[
Bs4AttrTextField(target='href',
css_select='#text .recruitment-con ul li a',
url_prefix='http://www.jybank.com.cn/'),
Bs4HtmlField(css_select='.news .news_con', many=False)
]
),
Target(
bank_name='江阴银行',
type_main='新闻',
type_next='来源本行',
url='http://www.jybank.com.cn/jybank/index/xyxw/index.html',
selectors=[
Bs4AttrTextField(target='href',
css_select='#text .recruitment-con ul li a',
url_prefix='http://www.jybank.com.cn/'),
Bs4HtmlField(css_select='.news .news_con', many=False)
]
),
Target(
bank_name='青农银行',
type_main='公告',
type_next='其他公告',
url='http://www.qrcb.com.cn/qrcbcms/html/zdgg/',
selectors=[
Bs4AttrTextField(target='href',
css_select='.main_right .box4 ul li .tit2 a:last-of-type',
url_prefix='http://www.qrcb.com.cn/'),
Bs4HtmlField(css_select='.main_right .box5 .zhengwen_con1', many=False)
]
),
Target(
bank_name='苏农银行',
type_main='公告',
type_next='其他公告',
url='http://www.szrcb.com/wjrcb/gdgg/xwgg/index.html?v=%s' % int(time.time() * 1000),
selectors=[
Bs4AttrTextField(target='href',
css_select='ul li a[href^="/wjrcb/gdgg/xwgg/"]',
url_prefix='http://www.szrcb.com/'),
Bs4HtmlField(css_select='.bg-ff .main-lc .lccpbox .lbright .ggpad', many=False)
]
),
Target(
bank_name='苏农银行',
type_main='新闻',
type_next='来源本行',
url='http://www.szrcb.com/wjrcb/gdgg/wjxw/index.html?v=%s' % int(time.time() * 1000),
selectors=[
Bs4AttrTextField(target='href',
css_select='ul li a[href^="/wjrcb/gdgg/wjxw/"]',
url_prefix='http://www.szrcb.com/'),
Bs4HtmlField(css_select='.bg-ff .main-lc .lccpbox .lbright .ggpad', many=False)
]
),
Target(
bank_name='无锡银行',
type_main='公告',
type_next='其他公告',
url='http://www.wrcb.com.cn/website/homepage/bank_notice_news_list/index.html',
selectors=[
Bs4AttrTextField(target='href',
css_select='#frmList .yhkyw_box .content_p table tr td:first-of-type a',
url_prefix='http://www.wrcb.com.cn/'),
Bs4HtmlField(css_select='.main_r .yhkyw_box', many=False)
]
),
Target(
bank_name='无锡银行',
type_main='新闻',
type_next='来源本行',
url='http://www.wrcb.com.cn/website/homepage/bank_news_list/index.html',
selectors=[
Bs4AttrTextField(target='href',
css_select='#frmList .yhkyw_box .content_p table tr td:first-of-type a',
url_prefix='http://www.wrcb.com.cn/'),
Bs4HtmlField(css_select='.main_r .yhkyw_box', many=False)
]
),
Target(
bank_name='张家港行',
type_main='公告',
type_next='其他公告',
url='http://www.zrcbank.com/',
selectors=[
Bs4AttrField(target='onclick',
name='div',
attrs={'onclick': re.compile(r'window\.location\.href=')},
string='重要公告',
callback='parse_zrcbank',
many=False),
Bs4AttrTextField(target='href', css_select='#divdemo ul li a', url_prefix='http://www.zrcbank.com/'),
Bs4HtmlField(css_select='#divdemo', many=False)
]
),
Target(
bank_name='张家港行',
type_main='新闻',
type_next='来源本行',
url='http://www.zrcbank.com/',
selectors=[
Bs4AttrField(target='onclick',
name='div',
attrs={'onclick': re.compile(r'window\.location\.href=')},
string='银行新闻',
callback='parse_zrcbank',
many=False),
Bs4AttrTextField(target='href', css_select='#divdemo ul li a', url_prefix='http://www.zrcbank.com/'),
Bs4HtmlField(css_select='#divdemo', many=False)
]
),
Target(
bank_name='紫金银行',
type_main='公告',
type_next='其他公告',
url='http://www.zjrcbank.com/zygg/index.html',
selectors=[
Bs4AttrTextField(target='href', css_select='.RightSidebar .mianContent ul li a', url_prefix='http://www.zjrcbank.com/'),
Bs4HtmlField(css_select='.RightSidebar .mianContent .News_Info .txt_info', many=False)
]
),
Target(
bank_name='紫金银行',
type_main='公告',
type_next='采购公告',
url='http://www.zjrcbank.com/ytcggg/index.html',
selectors=[
Bs4AttrTextField(target='href', css_select='.RightSidebar .mianContent ul li a', url_prefix='http://www.zjrcbank.com/'),
Bs4HtmlField(css_select='.RightSidebar .mianContent .News_Info .txt_info', many=False)
]
),
}
| 39.517803 | 140 | 0.499382 | 3,999 | 38,846 | 4.677169 | 0.11978 | 0.065922 | 0.062874 | 0.145958 | 0.894621 | 0.882004 | 0.866232 | 0.833779 | 0.787265 | 0.690334 | 0 | 0.015592 | 0.359394 | 38,846 | 982 | 141 | 39.558045 | 0.736026 | 0.004479 | 0 | 0.745493 | 0 | 0.022269 | 0.29364 | 0.016553 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.009544 | 0 | 0.015907 | 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 |
87d42f7cf20bbeb58b97696c7c30d439f620da4e | 4,668 | py | Python | tests/hash.py | ChenghaoMou/embeddings | e63c2f2f4a688302de37bb8ccfd37a0170e2c374 | [
"MIT"
] | 12 | 2021-04-18T02:32:55.000Z | 2021-12-19T13:49:23.000Z | tests/hash.py | ChenghaoMou/embeddings | e63c2f2f4a688302de37bb8ccfd37a0170e2c374 | [
"MIT"
] | 1 | 2021-07-04T09:06:34.000Z | 2021-07-25T03:45:43.000Z | tests/hash.py | ChenghaoMou/embeddings | e63c2f2f4a688302de37bb8ccfd37a0170e2c374 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2021-04-17 08:29:54
# @Author : Chenghao Mou (mouchenghao@gmail.com)
import pytest
from text_embeddings.hash import CANINETokenizer, PQRNNTokenizer
from transformers.tokenization_utils_base import PaddingStrategy
@pytest.mark.parametrize(
(
"text_pair",
"add_special_tokens",
"stride",
"padding",
"truncation",
"return_attention_mask",
"return_special_tokens_mask",
"return_length",
),
[
(True, True, 5, "longest", "longest_first", True, True, True),
(True, True, 5, "longest", "longest_first", True, True, False),
(True, True, 5, "longest", "longest_first", True, False, True),
(True, True, 5, "longest", "longest_first", False, True, True),
(True, False, 5, "longest", "longest_first", True, False, True),
(False, False, 5, "longest", "longest_first", True, False, True),
],
)
def test_canine_tokenizer(
text_pair: bool,
add_special_tokens: bool,
stride: int,
padding,
truncation,
return_attention_mask,
return_special_tokens_mask,
return_length,
):
data = [
"Hello world! Hello world! Hello world! Hello world! Hello world! Hello world! Hello world! Hello world! Hello world! Hello world! Hello world! Hello world!",
"Hóla!",
"你好，世界！",
]
embedder = CANINETokenizer(hash_size=768, max_length=2048)
results = embedder(
text=data,
text_pair=data if text_pair else None,
add_special_tokens=add_special_tokens,
stride=stride,
padding=padding,
return_tensors="pt",
truncation=truncation,
return_attention_mask=return_attention_mask,
return_special_tokens_mask=return_special_tokens_mask,
return_length=return_length,
prepend_batch_axis=True,
return_overflowing_tokens=False,
)
sequence_length = results["input_ids"].shape[1]
assert sequence_length <= embedder.max_length
if return_special_tokens_mask and add_special_tokens:
assert results["special_tokens_mask"].shape == (3, sequence_length)
assert results["input_ids"].shape == (
3,
sequence_length,
768,
) # hight is slightly different because of the font
if return_length:
assert results["length"].shape == (3,)
@pytest.mark.parametrize(
(
"text_pair",
"add_special_tokens",
"stride",
"padding",
"truncation",
"return_attention_mask",
"return_special_tokens_mask",
"return_length",
),
[
(True, True, 5, PaddingStrategy.LONGEST, "longest_first", True, True, True),
(True, True, 5, PaddingStrategy.LONGEST, "longest_first", True, True, False),
(True, True, 5, PaddingStrategy.LONGEST, "longest_first", True, False, True),
(True, True, 5, PaddingStrategy.LONGEST, "longest_first", False, True, True),
(True, False, 5, PaddingStrategy.LONGEST, "longest_first", True, False, True),
(False, False, 5, PaddingStrategy.LONGEST, "longest_first", True, False, True),
],
)
def test_pqrnn_tokenizer(
text_pair: bool,
add_special_tokens: bool,
stride: int,
padding,
truncation,
return_attention_mask,
return_special_tokens_mask,
return_length,
):
data = [
"Hello world! Hello world! Hello world! Hello world! Hello world! Hello world! Hello world! Hello world! Hello world! Hello world! Hello world! Hello world!",
"Hóla!",
"你好，世界！",
]
embedder = PQRNNTokenizer(hash_size=768, max_length=512)
results = embedder(
text=data,
text_pair=data if text_pair else None,
add_special_tokens=add_special_tokens,
stride=stride,
padding=padding,
return_tensors="pt",
truncation=truncation,
return_attention_mask=return_attention_mask,
return_special_tokens_mask=return_special_tokens_mask,
return_length=return_length,
prepend_batch_axis=True,
return_overflowing_tokens=False,
)
sequence_length = results["input_ids"].shape[1]
assert sequence_length <= embedder.max_length
if return_special_tokens_mask and add_special_tokens:
assert results["special_tokens_mask"].shape == (3, sequence_length)
assert results["input_ids"].shape == (
3,
sequence_length,
768,
) # hight is slightly different because of the font
if return_length:
assert results["length"].shape == (3,)
assert results["token_type_ids"].shape == (3, sequence_length)
| 31.540541 | 166 | 0.647815 | 537 | 4,668 | 5.374302 | 0.182495 | 0.08316 | 0.114345 | 0.15246 | 0.904712 | 0.882883 | 0.882883 | 0.882883 | 0.856549 | 0.68122 | 0 | 0.015532 | 0.241431 | 4,668 | 147 | 167 | 31.755102 | 0.799492 | 0.046487 | 0 | 0.746032 | 0 | 0.015873 | 0.192126 | 0.021147 | 0 | 0 | 0 | 0 | 0.071429 | 1 | 0.015873 | false | 0 | 0.02381 | 0 | 0.039683 | 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 |
87fd0228ad9805111217954f15a0bc7d2af88b2c | 48,262 | py | Python | SATModelCount/fireworks/fireworks_speed_test_heatmap.py | jkuck/XORModelCount | 1476021ce1d36d36fa3f7b214845a6c7f35a8640 | [
"MIT"
] | null | null | null | SATModelCount/fireworks/fireworks_speed_test_heatmap.py | jkuck/XORModelCount | 1476021ce1d36d36fa3f7b214845a6c7f35a8640 | [
"MIT"
] | null | null | null | SATModelCount/fireworks/fireworks_speed_test_heatmap.py | jkuck/XORModelCount | 1476021ce1d36d36fa3f7b214845a6c7f35a8640 | [
"MIT"
] | null | null | null | from __future__ import division
from sat import SAT
import time
import os
import math
from fireworks import Firework, Workflow, FWorker, LaunchPad
from fireworks.utilities.fw_utilities import explicit_serialize
from fireworks.core.firework import FWAction, FireTaskBase
#True: run locally
#False: run remotely on cluster
TEST_LOCAL = False
if TEST_LOCAL:
from fireworks.core.rocket_launcher import rapidfire
else:
from fireworks.queue.queue_launcher import rapidfire
from fireworks.user_objects.queue_adapters.common_adapter import CommonAdapter
from fw_tutorials.dynamic_wf.fibadd_task import FibonacciAdderTask
from cluster_config import HOME_DIRECTORY, MONGODB_USERNAME, MONGODB_PASSWORD
from experiment_config import MONGODB_HOST, MONGODB_PORT, MONGODB_NAME
import numpy as np
# Add the following line to the file ~/.bashrc.user on Atlas:
# export PYTHONPATH="/atlas/u/jkuck/XORModelCount/SATModelCount:$PYTHONPATH"
# $ source ~/.bashrc.user
# $ export PATH=/opt/rh/python27/root/usr/bin:$PATH
# $ export LD_LIBRARY_PATH=/opt/rh/python27/root/usr/lib64/:$LD_LIBRARY_PATH
# $ PACKAGE_DIR=/atlas/u/jkuck/software
# $ export PATH=$PACKAGE_DIR/anaconda2/bin:$PATH
# $ export LD_LIBRARY_PATH=$PACKAGE_DIR/anaconda2/local:$LD_LIBRARY_PATH
# $ source activate anaconda_venv
# $ cd /atlas/u/jkuck/XORModelCount/SATModelCount/fireworks
# $ python fireworks_speed_test_heatmap.py
NJOBS_QUEUE = 130
#used for RunExperimentBatch
MAX_TIME = 360 #max time to run a single SAT problem
#used for RunSpecificExperimentBatch
MAX_TIMEOUT_MULTIPLE = 100 #run at max MAX_TIMEOUT_MULTIPLE*unperturbed runtime
m_ranges = {#'c432.isc': range(25, 42), #log_2(Z) = 36.1
'c432.isc': range(25, 46), #log_2(Z) = 36.1
'c499.isc': range(30, 51), #log_2(Z) = 41.0
'c880.isc': range(50, 71), #log_2(Z) = 60.0
'c1355.isc': range(30, 51), #log_2(Z) = 41.0
'c1908.isc': range(20, 44), #log_2(Z) = 33.0
'c2670.isc': range(220, 265), #log_2(Z) = 233
'sat-grid-pbl-0010.cnf': range(65, 95), #log_2(Z) = 78.9
'sat-grid-pbl-0015.cnf': range(170, 210), #log_2(Z) = 180.9
'sat-grid-pbl-0020.cnf': range(310, 350), #log_2(Z) = 318
'ra.cnf': range(920, 1000), #log_2(Z) = 951.0
'tire-1.cnf': range(20, 40), #log_2(Z) = 29.4 #range(27, 32), #range(20, 40),
'tire-2.cnf': range(30, 55), #log_2(Z) = 39.4 #range(27, 32), #range(20, 40),
'tire-3.cnf': range(25, 55), #log_2(Z) = 37.7 #range(27, 32), #range(20, 40),
'tire-4.cnf': range(35, 60), #log_2(Z) = 46.6 #range(27, 32), #range(20, 40),
'log-1.cnf': range(60, 85), #log_2(Z) = 69.0
'log-2.cnf': range(30, 45), #log_2(Z) = 34.9
'lang12.cnf': range(10, 26), #log_2(Z) =
'hypercube.cnf': range(80, 100), #log_2(Z) = 90
'hypercube1.cnf': range(40, 60), #log_2(Z) = 50
'hypercube2.cnf': range(1, 20), #log_2(Z) = 10
'hypercube3.cnf': range(1, 30), #log_2(Z) = 10
'hypercube4.cnf': range(10, 40), #log_2(Z) = 20
'hypercube5.cnf': range(40, 70), #log_2(Z) = 50
'hypercube6.cnf': range(90, 120), #log_2(Z) = 100
'hypercube7.cnf': range(490, 530), #log_2(Z) = 500
}
if TEST_LOCAL:
f_ranges = {'c432.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
#'c432.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 7)],
#'c432.isc': [.0001, .001],
'c499.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'lang12.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'c880.isc': [i/1000.0 for i in range(3,10)] + [i/100.0 for i in range(1, 50)],
'c1355.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'c1908.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'c2670.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'sat-grid-pbl-0010.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'sat-grid-pbl-0015.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'sat-grid-pbl-0020.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'ra.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'tire-1.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'tire-2.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'tire-3.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'tire-4.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'log-1.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'log-2.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'hypercube.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'hypercube1.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'hypercube2.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'hypercube3.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'hypercube4.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'hypercube5.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'hypercube6.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
'hypercube7.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 50)],
}
else:
f_ranges = {'c432.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
#'c432.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 7)],
#'c432.isc': [.0001, .001],
'c499.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'lang12.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'c880.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'c1355.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'c1908.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'c2670.isc': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'sat-grid-pbl-0010.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'sat-grid-pbl-0015.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'sat-grid-pbl-0020.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'ra.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'tire-1.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'tire-2.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'tire-3.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'tire-4.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'log-1.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'log-2.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'hypercube.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'hypercube1.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'hypercube2.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'hypercube3.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'hypercube4.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'hypercube5.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'hypercube6.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
'hypercube7.cnf': [i/1000.0 for i in range(1,10)] + [i/100.0 for i in range(1, 10)],
}
#logger = open('heatmap_result_moreModels2/speed=%d.txt' % (m), "w")
@explicit_serialize
class RunExperimentBatch(FireTaskBase):
def run_task(self, fw_spec):
RESULTS_DIRECTORY = '/atlas/u/jkuck/XORModelCount/SATModelCount/fireworks/heatmap_result_fireworksK3'
if not os.path.exists(RESULTS_DIRECTORY):
os.makedirs(RESULTS_DIRECTORY)
#for dup_copies in [0, 1, 3, 7, 15, 31, 63, 127]:
for dup_copies in [0]:
#for dup_copies in [7, 15, 31, 63, 127]:
# for f in [f*(dup_copies+1) for f in f_ranges[fw_spec['problem_name']]]:
for f in f_ranges[fw_spec['problem_name']]:
# for m in m_ranges[fw_spec['problem_name']]:
for m in [m*(dup_copies+1) for m in m_ranges[fw_spec['problem_name']]]:
for repeat in range(fw_spec['repeats']):
print fw_spec['problem_name'], 'dup_copies=', dup_copies
RUN_BLOCK_DIAG = True
if RUN_BLOCK_DIAG:
#block diagonal, deterministic 1's on block
filename = '%s/blockDiagDeterministic_speed_REPEATS=%d_%s_duplicates=%d_expIdx=%d.txt'%(RESULTS_DIRECTORY, fw_spec['repeats'], fw_spec['problem_name'].split('.')[0], dup_copies, fw_spec['experiment_idx'])
if os.path.exists(filename):
append_write = 'a' # append if already exists
else:
append_write = 'w' # make a new file if not
logger = open(filename, append_write)
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=dup_copies)
sat.add_regular_constraints_constantF_permuted(m=m, f=f, f_block=1.0, permute=False, k=3)
start_time = time.time()
(outcome, empirical_density) = sat.solve(MAX_TIME)
elapsed_time = time.time() - start_time
logger.write("f %f time %f m %d solution %s\n" % (f, elapsed_time, m, outcome))
logger.close()
print("f = %.3f, time=%.2f, m=%d, solution=%s" % (f, elapsed_time, m, outcome))
#block diagonal, sample 1's on block w/ probability 1-f
filename = '%s/blockDiag1MinusF_speed_REPEATS=%d_%s_duplicates=%d_expIdx=%d.txt'%(RESULTS_DIRECTORY, fw_spec['repeats'], fw_spec['problem_name'].split('.')[0], dup_copies, fw_spec['experiment_idx'])
if os.path.exists(filename):
append_write = 'a' # append if already exists
else:
append_write = 'w' # make a new file if not
logger = open(filename, append_write)
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=dup_copies)
sat.add_regular_constraints_constantF_permuted(m=m, f=f, f_block=1.0-f, permute=False, k=3)
start_time = time.time()
(outcome, empirical_density) = sat.solve(MAX_TIME)
elapsed_time = time.time() - start_time
logger.write("f %f time %f m %d solution %s\n" % (f, elapsed_time, m, outcome))
logger.close()
print("f = %.3f, time=%.2f, m=%d, solution=%s" % (f, elapsed_time, m, outcome))
RUN_PERMUTED_BLOCK_DIAG = True
if RUN_PERMUTED_BLOCK_DIAG:
#permuted block diagonal, deterministic 1's on block
filename = '%s/permutedBlockDiagDeterministic_speed_REPEATS=%d_%s_duplicates=%d_expIdx=%d.txt'%(RESULTS_DIRECTORY, fw_spec['repeats'], fw_spec['problem_name'].split('.')[0], dup_copies, fw_spec['experiment_idx'])
if os.path.exists(filename):
append_write = 'a' # append if already exists
else:
append_write = 'w' # make a new file if not
logger = open(filename, append_write)
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=dup_copies)
sat.add_regular_constraints_constantF_permuted(m=m, f=f, f_block=1.0, permute=True, k=3)
start_time = time.time()
(outcome, empirical_density) = sat.solve(MAX_TIME)
elapsed_time = time.time() - start_time
logger.write("f %f time %f m %d solution %s\n" % (f, elapsed_time, m, outcome))
logger.close()
print("f = %.3f, time=%.2f, m=%d, solution=%s" % (f, elapsed_time, m, outcome))
#permuted block diagonal, sample 1's on block w/ probability 1-f
filename = '%s/permutedBlockDiag1MinusF_speed_REPEATS=%d_%s_duplicates=%d_expIdx=%d.txt'%(RESULTS_DIRECTORY, fw_spec['repeats'], fw_spec['problem_name'].split('.')[0], dup_copies, fw_spec['experiment_idx'])
if os.path.exists(filename):
append_write = 'a' # append if already exists
else:
append_write = 'w' # make a new file if not
logger = open(filename, append_write)
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=dup_copies)
sat.add_regular_constraints_constantF_permuted(m=m, f=f, f_block=1.0-f, permute=True, k=3)
start_time = time.time()
(outcome, empirical_density) = sat.solve(MAX_TIME)
elapsed_time = time.time() - start_time
logger.write("f %f time %f m %d solution %s\n" % (f, elapsed_time, m, outcome))
logger.close()
print("f = %.3f, time=%.2f, m=%d, solution=%s" % (f, elapsed_time, m, outcome))
RUN_PERMUTATION = False
if RUN_PERMUTATION:
#permutation
filename = '%s/pspeed_REPEATS=%d_%s_duplicates=%d_expIdx=%d.txt'%(RESULTS_DIRECTORY, fw_spec['repeats'], fw_spec['problem_name'].split('.')[0], dup_copies, fw_spec['experiment_idx'])
if os.path.exists(filename):
append_write = 'a' # append if already exists
else:
append_write = 'w' # make a new file if not
logger = open(filename, append_write)
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=dup_copies)
sat.add_permutation_constraints(m, f)
start_time = time.time()
(outcome, empirical_density) = sat.solve(MAX_TIME)
elapsed_time = time.time() - start_time
logger.write("f %f time %f m %d solution %s\n" % (f, elapsed_time, m, outcome))
logger.close()
print("f = %.3f, time=%.2f, m=%d, solution=%s" % (f, elapsed_time, m, outcome))
#original
filename = '%s/speed_REPEATS=%d_%s_duplicates=%d_expIdx=%d.txt'%(RESULTS_DIRECTORY, fw_spec['repeats'], fw_spec['problem_name'].split('.')[0], dup_copies, fw_spec['experiment_idx'])
if os.path.exists(filename):
append_write = 'a' # append if already exists
else:
append_write = 'w' # make a new file if not
logger = open(filename, append_write)
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=dup_copies)
sat.add_parity_constraints(m, f)
# sat.add_regular_constraints(m, f)
# sat.add_permutation_constraints(m, f)
start_time = time.time()
(outcome, empirical_density) = sat.solve(MAX_TIME)
elapsed_time = time.time() - start_time
logger.write("f %f time %f m %d solution %s\n" % (f, elapsed_time, m, outcome))
logger.close()
print("f = %.3f, time=%.2f, m=%d, solution=%s" % (f, elapsed_time, m, outcome))
#logger = open('heatmap_result_moreModels2/speed=%d.txt' % (m), "w")
@explicit_serialize
class RunSpecificExperimentBatch(FireTaskBase):
def run_task(self, fw_spec):
RESULTS_DIRECTORY = '/atlas/u/jkuck/XORModelCount/SATModelCount/fireworks/slurm_postUAI1/specific_MF_vals/%s' % fw_spec['problem_name'].split('.')[0]
if not os.path.exists(RESULTS_DIRECTORY):
os.makedirs(RESULTS_DIRECTORY)
filename = '%s/f_block=%s_permute=%s_k=%s_allOnesConstraint=%s_adjustF=%s_changeVars=%s_useMIS=%s_REPEATS=%d_expIdx=%d.txt'%\
(RESULTS_DIRECTORY, fw_spec['f_block'], fw_spec['permute'], fw_spec['k'], fw_spec['ADD_CONSTRAINT_ALL_ONES'],\
fw_spec['adjust_f'], fw_spec['change_var_names'], fw_spec['use_MIS'], fw_spec['repeats'], fw_spec['experiment_idx'])
if TEST_LOCAL:
REPEATS = 1
else:
REPEATS = 100
all_times = []
for i in range(REPEATS):
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=0)
(outcome, empirical_density) = sat.solve(3600)
elapsed_time = outcome[1]
all_times.append(elapsed_time)
assert(empirical_density == 0), empirical_density
logger = open(filename, 'w')
logger.write('mean_unperturbed_run_time_%f_trials: %f\n' % (REPEATS, np.mean(all_times)))
logger.write('median_unperturbed_run_time_%f_trials: %f\n' % (REPEATS, np.median(all_times)))
logger.write('max_unperturbed_run_time_%f_trials: %f\n' % (REPEATS, np.max(all_times)))
logger.write('min_unperturbed_run_time_%f_trials: %f\n' % (REPEATS, np.min(all_times)))
logger.write("MAX_TIMEOUT_MULTIPLE= %d\n" % MAX_TIMEOUT_MULTIPLE)
logger.close()
unperturbed_runtime = np.median(all_times)
#for dup_copies in [0, 1, 3, 7, 15, 31, 63, 127]:
for dup_copies in [0]:
#for dup_copies in [7, 15, 31, 63, 127]:
# for f in [f*(dup_copies+1) for f in f_ranges[fw_spec['problem_name']]]:
for f in f_ranges[fw_spec['problem_name']]:
# for m in m_ranges[fw_spec['problem_name']]:
quit_m_early = False
last_m_val = -1
for m in [m*(dup_copies+1) for m in m_ranges[fw_spec['problem_name']]]:
#compute f such that any construction has the density specified by f, not probability of flipping specified by f
if fw_spec['adjust_f'] == True:
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=0)
if fw_spec['use_MIS'] == True:
variable_MIS = get_variable_subset(fw_spec['problem_name']) #minimal independent support https://link.springer.com/content/pdf/10.1007%2Fs10601-015-9204-z.pdf
N = len(variable_MIS)
else:
N = sat.n
if fw_spec['ADD_CONSTRAINT_ALL_ONES']:
m_effective = m - 1
else:
m_effective = m
if fw_spec['k']==None:
cur_k = N/m
elif fw_spec['k'] == 'maxConstant':
cur_k = np.floor(N/m)
else:
cur_k = fw_spec['k']
k_density = cur_k/N
print 'N=', N, 'm=', m, "fw_spec['k']=", fw_spec['k'], 'k_density=', k_density
#compute the density of ones from k:
if k_density > f: #we need to decrease k
cur_k = np.floor(f*N)
print "changed cur_k=", cur_k
if fw_spec['f_block'] == '1minusF':
f_prime = (f*N - cur_k)/(N - 2*cur_k)
print 'f_prime=', f_prime
assert(abs((1 - f_prime)*cur_k + f_prime*(N - cur_k) - N*f) < .0001), (f_prime, cur_k, N)
else:
assert(fw_spec['f_block'] == '1')
f_prime = (f*N - cur_k)/(N - cur_k)
print 'f_prime=', f_prime
assert(abs(cur_k + f_prime*(N - cur_k) - N*f) < .0001), (f_prime, cur_k, N)
else:
f_prime = f
failures = 0
for repeat in range(fw_spec['repeats']):
logger = open(filename, 'a')
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=dup_copies)
if fw_spec['f_block'] == '1':
sat.add_regular_constraints_constantF_permuted(m=m, f=f_prime, f_block=1.0, permute=fw_spec['permute'], k=cur_k,\
ADD_CONSTRAINT_ALL_ONES=fw_spec['ADD_CONSTRAINT_ALL_ONES'], change_var_names=fw_spec['change_var_names'])
else:
assert(fw_spec['f_block'] == '1minusF')
sat.add_regular_constraints_constantF_permuted(m=m, f=f_prime, f_block=1.0-f_prime, permute=fw_spec['permute'], k=cur_k,\
ADD_CONSTRAINT_ALL_ONES=fw_spec['ADD_CONSTRAINT_ALL_ONES'], change_var_names=fw_spec['change_var_names'])
start_time = time.time()
(outcome, empirical_density) = sat.solve(unperturbed_runtime*MAX_TIMEOUT_MULTIPLE)
elapsed_time = time.time() - start_time
if outcome == None:
failures += 1
logger.write("f_prime %f f %f cur_k %f n %d time %f m %d solution %s empirical_density %f\n" % (f_prime, f, cur_k, N, elapsed_time, m, outcome, empirical_density))
logger.close()
print("f_prime %f f %f cur_k %f n %d time %f m %d solution %s empirical_density %f\n" % (f_prime, f, cur_k, N, elapsed_time, m, outcome, empirical_density))
if failures == fw_spec['repeats']:
quit_m_early = True
last_m_val = m
break
if quit_m_early:
#start with largest m and iterate down
for m in reversed([m*(dup_copies+1) for m in m_ranges[fw_spec['problem_name']]]):
if m <= last_m_val:
break
#compute f such that any construction has the density specified by f, not probability of flipping specified by f
if fw_spec['adjust_f'] == True:
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=0)
N = sat.n
if fw_spec['ADD_CONSTRAINT_ALL_ONES']:
m_effective = m - 1
else:
m_effective = m
if fw_spec['k']==None:
cur_k = N/m
elif fw_spec['k'] == 'maxConstant':
cur_k = np.floor(N/m)
else:
cur_k = fw_spec['k']
k_density = cur_k/N
print 'N=', N, 'm=', m, "fw_spec['k']=", fw_spec['k'], 'k_density=', k_density
#compute the density of ones from k:
if k_density > f: #we need to decrease k
cur_k = np.floor(f*N)
print "changed cur_k=", cur_k
if fw_spec['f_block'] == '1minusF':
f_prime = (f*N - cur_k)/(N - 2*cur_k)
print 'f_prime=', f_prime
assert(abs((1 - f_prime)*cur_k + f_prime*(N - cur_k) - N*f) < .0001), (f_prime, cur_k, N)
else:
assert(fw_spec['f_block'] == '1')
f_prime = (f*N - cur_k)/(N - cur_k)
print 'f_prime=', f_prime
assert(abs(cur_k + f_prime*(N - cur_k) - N*f) < .0001), (f_prime, cur_k, N)
else:
f_prime = f
failures = 0
for repeat in range(fw_spec['repeats']):
logger = open(filename, 'a')
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=dup_copies)
if fw_spec['f_block'] == '1':
sat.add_regular_constraints_constantF_permuted(m=m, f=f_prime, f_block=1.0, permute=fw_spec['permute'], k=cur_k,\
ADD_CONSTRAINT_ALL_ONES=fw_spec['ADD_CONSTRAINT_ALL_ONES'], change_var_names=fw_spec['change_var_names'])
else:
assert(fw_spec['f_block'] == '1minusF')
sat.add_regular_constraints_constantF_permuted(m=m, f=f_prime, f_block=1.0-f_prime, permute=fw_spec['permute'], k=cur_k,\
ADD_CONSTRAINT_ALL_ONES=fw_spec['ADD_CONSTRAINT_ALL_ONES'], change_var_names=fw_spec['change_var_names'])
start_time = time.time()
(outcome, empirical_density) = sat.solve(unperturbed_runtime*MAX_TIMEOUT_MULTIPLE)
elapsed_time = time.time() - start_time
if outcome == None:
failures += 1
logger.write("f_prime %f f %f cur_k %f n %d time %f m %d solution %s empirical_density %f\n" % (f_prime, f, cur_k, N, elapsed_time, m, outcome, empirical_density))
logger.close()
print("f_prime %f f %f cur_k %f n %d time %f m %d solution %s empirical_density %f\n" % (f_prime, f, cur_k, N, elapsed_time, m, outcome, empirical_density))
if failures == fw_spec['repeats']:
break
@explicit_serialize
class RunSpecificMFValsExperimentBatch(FireTaskBase):
def run_task(self, fw_spec):
RESULTS_DIRECTORY = '/atlas/u/jkuck/XORModelCount/SATModelCount/fireworks/slurm_postUAI1/specific_MF_vals/%s' % fw_spec['problem_name'].split('.')[0]
if not os.path.exists(RESULTS_DIRECTORY):
os.makedirs(RESULTS_DIRECTORY)
filename = '%s/f_block=%s_permute=%s_k=%s_allOnesConstraint=%s_adjustF=%s_changeVars=%s_REPEATS=%d_expIdx=%d.txt'%\
(RESULTS_DIRECTORY, fw_spec['f_block'], fw_spec['permute'], fw_spec['k'], fw_spec['ADD_CONSTRAINT_ALL_ONES'],\
fw_spec['adjust_f'], fw_spec['change_var_names'], fw_spec['repeats'], fw_spec['experiment_idx'])
if TEST_LOCAL:
REPEATS = 1
else:
REPEATS = 100
all_times = []
for i in range(REPEATS):
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=0)
(outcome, empirical_density) = sat.solve(3600)
elapsed_time = outcome[1]
all_times.append(elapsed_time)
assert(empirical_density == 0), empirical_density
logger = open(filename, 'w')
logger.write('mean_unperturbed_run_time_%f_trials: %f\n' % (REPEATS, np.mean(all_times)))
logger.write('median_unperturbed_run_time_%f_trials: %f\n' % (REPEATS, np.median(all_times)))
logger.write('max_unperturbed_run_time_%f_trials: %f\n' % (REPEATS, np.max(all_times)))
logger.write('min_unperturbed_run_time_%f_trials: %f\n' % (REPEATS, np.min(all_times)))
logger.write("MAX_TIMEOUT_MULTIPLE= %d\n" % MAX_TIMEOUT_MULTIPLE)
logger.close()
unperturbed_runtime = np.median(all_times)
#for dup_copies in [0, 1, 3, 7, 15, 31, 63, 127]:
for dup_copies in [0]:
#for dup_copies in [7, 15, 31, 63, 127]:
# for f in [f*(dup_copies+1) for f in f_ranges[fw_spec['problem_name']]]:
for (m, f) in [(61, 0.02), (64, 0.03), (67, 0.02), (62, 0.02), (63, 0.02), (66, 0.03), (65, 0.02), (67, 0.03), (70, 0.03)]:
# for m in m_ranges[fw_spec['problem_name']]:
if fw_spec['adjust_f'] == True:
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=0)
N = sat.n
if fw_spec['ADD_CONSTRAINT_ALL_ONES']:
m_effective = m - 1
else:
m_effective = m
if fw_spec['k']==None:
cur_k = N/m
elif fw_spec['k'] == 'maxConstant':
cur_k = np.floor(N/m)
else:
cur_k = fw_spec['k']
k_density = cur_k/N
print 'N=', N, 'm=', m, "fw_spec['k']=", fw_spec['k'], 'k_density=', k_density
#compute the density of ones from k:
if k_density > f: #we need to decrease k
cur_k = np.floor(f*N)
print "changed cur_k=", cur_k
if fw_spec['f_block'] == '1minusF':
f_prime = (f*N - cur_k)/(N - 2*cur_k)
print 'f_prime=', f_prime
assert(abs((1 - f_prime)*cur_k + f_prime*(N - cur_k) - N*f) < .0001), (f_prime, cur_k, N)
else:
assert(fw_spec['f_block'] == '1')
f_prime = (f*N - cur_k)/(N - cur_k)
print 'f_prime=', f_prime
assert(abs(cur_k + f_prime*(N - cur_k) - N*f) < .0001), (f_prime, cur_k, N)
else:
f_prime = f
for repeat in range(fw_spec['repeats']):
logger = open(filename, 'a')
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=dup_copies)
if fw_spec['f_block'] == '1':
sat.add_regular_constraints_constantF_permuted(m=m, f=f_prime, f_block=1.0, permute=fw_spec['permute'], k=cur_k,\
ADD_CONSTRAINT_ALL_ONES=fw_spec['ADD_CONSTRAINT_ALL_ONES'], change_var_names=fw_spec['change_var_names'])
else:
assert(fw_spec['f_block'] == '1minusF')
sat.add_regular_constraints_constantF_permuted(m=m, f=f_prime, f_block=1.0-f_prime, permute=fw_spec['permute'], k=cur_k,\
ADD_CONSTRAINT_ALL_ONES=fw_spec['ADD_CONSTRAINT_ALL_ONES'], change_var_names=fw_spec['change_var_names'])
start_time = time.time()
(outcome, empirical_density) = sat.solve(unperturbed_runtime*MAX_TIMEOUT_MULTIPLE)
elapsed_time = time.time() - start_time
logger.write("f_prime %f f %f cur_k %f n %d time %f m %d solution %s empirical_density %f\n" % (f_prime, f, cur_k, N, elapsed_time, m, outcome, empirical_density))
logger.close()
print("f_prime %f f %f cur_k %f n %d time %f m %d solution %s empirical_density %f\n" % (f_prime, f, cur_k, N, elapsed_time, m, outcome, empirical_density))
@explicit_serialize
class CheckTimingExperiment(FireTaskBase):
def run_task(self, fw_spec):
RESULTS_DIRECTORY = '/atlas/u/jkuck/XORModelCount/SATModelCount/fireworks/slurm_postUAI1/check_timing_consistency/%s' % fw_spec['problem_name'].split('.')[0]
if not os.path.exists(RESULTS_DIRECTORY):
os.makedirs(RESULTS_DIRECTORY)
filename = '%s/expIdx=%d.txt'%\
(RESULTS_DIRECTORY, fw_spec['experiment_idx'])
REPEATS = 100
all_times = []
for i in range(REPEATS):
sat = SAT("/atlas/u/jkuck/low_density_parity_checks/SAT_problems_cnf/%s"%fw_spec['problem_name'], verbose=False, instance_id=fw_spec['problem_name'], duplicate=0)
(outcome, empirical_density) = sat.solve(3600)
elapsed_time = outcome[1]
all_times.append(elapsed_time)
assert(empirical_density == 0), empirical_density
logger = open(filename, 'w')
logger.write('mean time over 100: %f\n' % np.mean(all_times))
logger.write('median time over 100: %f\n' % np.median(all_times))
logger.write('max time over 100: %f\n' % np.max(all_times))
logger.write('min time over 100: %f\n\n' % np.min(all_times))
logger.write('mean time over 10: %f\n' % np.mean(all_times[0:10]))
logger.write('median time over 10: %f\n' % np.median(all_times[0:10]))
logger.write('max time over 10: %f\n' % np.max(all_times[0:10]))
logger.write('min time over 10: %f\n' % np.min(all_times[0:10]))
logger.close()
def create_launchpad():
with open('./my_launchpad.yaml', 'w') as f:
f.write('host: %s\n' % MONGODB_HOST)
f.write('port: %d\n' % MONGODB_PORT)
f.write('name: %s\n' % MONGODB_NAME)
f.write('username: %s\n' % MONGODB_USERNAME)
f.write('password: %s\n' % MONGODB_PASSWORD)
f.write('logdir: null\n')
f.write('strm_lvl: INFO\n')
def run_experiment():
'''
'''
# write new launchpad file
create_launchpad()
# set up the LaunchPad and reset it
launchpad = LaunchPad(host=MONGODB_HOST, port=MONGODB_PORT, name=MONGODB_NAME, username=MONGODB_USERNAME, password=MONGODB_PASSWORD,
logdir=None, strm_lvl='INFO', user_indices=None, wf_user_indices=None, ssl_ca_file=None)
launchpad.reset('', require_password=False)
all_fireworks = []
#PROBLEM_NAMES = ['hypercube.cnf', 'hypercube1.cnf', 'hypercube2.cnf', 'c499.isc', 'c432.isc', 'tire-1.cnf', 'tire-2.cnf', 'tire-3.cnf', 'tire-4.cnf', 'lang12.cnf', 'c880.isc', 'c1355.isc', 'c1908.isc', 'c2670.isc', 'sat-grid-pbl-0010.cnf', 'sat-grid-pbl-0015.cnf', 'sat-grid-pbl-0020.cnf', 'log-1.cnf', 'log-2.cnf', 'ra.cnf']
#PROBLEM_NAMES = ['c432.isc']
#PROBLEM_NAMES = ['hypercube3.cnf']#, 'hypercube4.cnf', 'hypercube5.cnf', 'hypercube6.cnf', 'hypercube7.cnf']
#PROBLEM_NAMES = ['hypercube3.cnf']#, 'hypercube4.cnf', 'hypercube5.cnf', 'hypercube6.cnf', 'hypercube7.cnf', 'hypercube.cnf', 'hypercube1.cnf', 'hypercube2.cnf', 'c499.isc', 'c432.isc', 'tire-1.cnf', 'tire-2.cnf', 'tire-3.cnf', 'tire-4.cnf', 'lang12.cnf', 'c880.isc', 'c1355.isc', 'c1908.isc', 'c2670.isc', 'sat-grid-pbl-0010.cnf', 'sat-grid-pbl-0015.cnf', 'sat-grid-pbl-0020.cnf', 'log-1.cnf', 'log-2.cnf', 'ra.cnf']
PROBLEM_NAMES = ['c499.isc', 'c432.isc', 'tire-1.cnf', 'tire-2.cnf', 'tire-3.cnf', 'tire-4.cnf', 'lang12.cnf', 'c880.isc', 'hypercube.cnf', 'hypercube1.cnf', 'hypercube2.cnf', 'c1355.isc', 'c1908.isc', 'c2670.isc', 'sat-grid-pbl-0010.cnf', 'sat-grid-pbl-0015.cnf', 'sat-grid-pbl-0020.cnf', 'log-1.cnf', 'log-2.cnf', 'ra.cnf']
#PROBLEM_NAMES = ['c880.isc']
PROBLEM_NAMES = ['log-1.cnf']
REPEATS_OF_EXPERIMENT = 10
for problem_name in PROBLEM_NAMES:
for repeats_per_experiment in [10]:
for experiment_idx in range(REPEATS_OF_EXPERIMENT): #repeat the same experiment this many times
# for ADD_CONSTRAINT_ALL_ONES in [True, False]:
# for (f_block, permute, k) in [('1', True, None), ('1minusF', True, None), ('1', False, None), ('1minusF', False, None),\
# ('1', True, 3), ('1minusF', True, 3), ('1', False, 3), ('1minusF', False, 3),\
# ('1', True, 1), ('1minusF', True, 1), ('1', False, 1), ('1minusF', False, 1),
# ('1', False, 0)]
for (f_block, permute, k, ADD_CONSTRAINT_ALL_ONES, adjust_f, change_var_names) in \
[('1minusF', True, 'maxConstant', False, True, False),\
('1minusF', True, 'maxConstant', False, True, True),\
('1minusF', False, 'maxConstant', False, True, False),\
('1', False, 0, False, True, False)]:
# [('1minusF', True, 'maxConstant', False, True),\
# ('1', False, 0, False, True),\
# ('1', True, None, False, True), ('1', False, None, False, True)]:
#[('1minusF', True, 'maxConstant', False), ('1minusF', True, 'maxConstant', True),\
#('1', True, None, True), ('1', False, None, True)]:
#[('1minusF', True, None, False), ('1minusF', False, None, False), ('1minusF', True, 3, True),\
# ('1minusF', True, 3, False),\
# ('1', True, 1, False),\
# ('1', False, 0, False), ('1', False, 0, True)]:
cur_spec = {'problem_name': problem_name,
'repeats': repeats_per_experiment,
'experiment_idx': experiment_idx,
'f_block': f_block,
'permute': permute,
'k': k,
'ADD_CONSTRAINT_ALL_ONES':ADD_CONSTRAINT_ALL_ONES,
#True:
#compute f such that the original matrix construction using iid entries will
#have the same expected number of 1's as when floor(n/m) entries are added with
#probability (1-f)
#False: don't adjust f's
#'expectedNum1s': f denies the expected number of 1's for all methods
'adjust_f': adjust_f,
'change_var_names': change_var_names,
}
#all_fireworks.append(Firework(RunSpecificExperimentBatch(), spec=cur_spec))
all_fireworks.append(Firework(RunSpecificMFValsExperimentBatch(), spec=cur_spec))
firework_dependencies = {}
workflow = Workflow(all_fireworks, firework_dependencies)
if TEST_LOCAL:
launchpad.add_wf(workflow)
rapidfire(launchpad, FWorker())
else:
launchpad.add_wf(workflow)
qadapter = CommonAdapter.from_file("%s/my_qadapter.yaml" % HOME_DIRECTORY)
rapidfire(launchpad, FWorker(), qadapter, launch_dir='.', nlaunches='infinite', njobs_queue=NJOBS_QUEUE,
njobs_block=500, sleep_time=None, reserve=False, strm_lvl='INFO', timeout=None,
fill_mode=False)
def run_check_timing_experiment():
'''
'''
# write new launchpad file
create_launchpad()
# set up the LaunchPad and reset it
launchpad = LaunchPad(host=MONGODB_HOST, port=MONGODB_PORT, name=MONGODB_NAME, username=MONGODB_USERNAME, password=MONGODB_PASSWORD,
logdir=None, strm_lvl='INFO', user_indices=None, wf_user_indices=None, ssl_ca_file=None)
launchpad.reset('', require_password=False)
all_fireworks = []
#PROBLEM_NAMES = ['hypercube.cnf', 'hypercube1.cnf', 'hypercube2.cnf', 'c499.isc', 'c432.isc', 'tire-1.cnf', 'tire-2.cnf', 'tire-3.cnf', 'tire-4.cnf', 'lang12.cnf', 'c880.isc', 'c1355.isc', 'c1908.isc', 'c2670.isc', 'sat-grid-pbl-0010.cnf', 'sat-grid-pbl-0015.cnf', 'sat-grid-pbl-0020.cnf', 'log-1.cnf', 'log-2.cnf', 'ra.cnf']
#PROBLEM_NAMES = ['c432.isc']
#PROBLEM_NAMES = ['hypercube3.cnf']#, 'hypercube4.cnf', 'hypercube5.cnf', 'hypercube6.cnf', 'hypercube7.cnf']
#PROBLEM_NAMES = ['hypercube3.cnf']#, 'hypercube4.cnf', 'hypercube5.cnf', 'hypercube6.cnf', 'hypercube7.cnf', 'hypercube.cnf', 'hypercube1.cnf', 'hypercube2.cnf', 'c499.isc', 'c432.isc', 'tire-1.cnf', 'tire-2.cnf', 'tire-3.cnf', 'tire-4.cnf', 'lang12.cnf', 'c880.isc', 'c1355.isc', 'c1908.isc', 'c2670.isc', 'sat-grid-pbl-0010.cnf', 'sat-grid-pbl-0015.cnf', 'sat-grid-pbl-0020.cnf', 'log-1.cnf', 'log-2.cnf', 'ra.cnf']
#PROBLEM_NAMES = ['c499.isc', 'c432.isc', 'tire-1.cnf', 'tire-2.cnf', 'tire-3.cnf', 'tire-4.cnf', 'lang12.cnf', 'c880.isc', 'hypercube.cnf', 'hypercube1.cnf', 'hypercube2.cnf', 'c1355.isc', 'c1908.isc', 'c2670.isc', 'sat-grid-pbl-0010.cnf', 'sat-grid-pbl-0015.cnf', 'sat-grid-pbl-0020.cnf', 'log-1.cnf', 'log-2.cnf', 'ra.cnf']
#PROBLEM_NAMES = ['c880.isc']
PROBLEM_NAMES = ['tire-4.cnf']
REPEATS_OF_EXPERIMENT = 1000
for problem_name in PROBLEM_NAMES:
for experiment_idx in range(REPEATS_OF_EXPERIMENT): #repeat the same experiment this many times
cur_spec = {'problem_name': problem_name,
'experiment_idx': experiment_idx,
}
all_fireworks.append(Firework(CheckTimingExperiment(), spec=cur_spec))
firework_dependencies = {}
workflow = Workflow(all_fireworks, firework_dependencies)
if TEST_LOCAL:
launchpad.add_wf(workflow)
rapidfire(launchpad, FWorker())
else:
launchpad.add_wf(workflow)
qadapter = CommonAdapter.from_file("%s/my_qadapter.yaml" % HOME_DIRECTORY)
rapidfire(launchpad, FWorker(), qadapter, launch_dir='.', nlaunches='infinite', njobs_queue=NJOBS_QUEUE,
njobs_block=500, sleep_time=None, reserve=False, strm_lvl='INFO', timeout=None,
fill_mode=False)
if __name__=="__main__":
run_experiment()
#run_check_timing_experiment()
######################### Fireworks info copied from anothor project #########################
# If the database thinks a firework is still running, but no jobs are running on the cluster, try:
# $ lpad detect_lostruns --time 1 --refresh
#
# If a firework fizzles and you are trying to find the error/output, note the fireworks fw_id
# in the online database, then search for this fw_id in the launcher block, e.g.:
# $ cd block_2017-11-01-07-30-53-457640
# $ pt 'fw_id: 34'
# or on atlas-ws-6 use silver searcher:
# $ ag 'fw_id: 34'
#
#Note, on Atlas before this script:
# start a krbscreen session:
# $ krbscreen #reattach using $ screen -rx
# $ reauth #important so that jobs can be submitted after logging out, enter password
#
# $ export PATH=/opt/rh/python27/root/usr/bin:$PATH
# $ export LD_LIBRARY_PATH=/opt/rh/python27/root/usr/lib64/:$LD_LIBRARY_PATH
# $ PACKAGE_DIR=/atlas/u/jkuck/software
# $ export PATH=$PACKAGE_DIR/anaconda2/bin:$PATH
# $ export LD_LIBRARY_PATH=$PACKAGE_DIR/anaconda2/local:$LD_LIBRARY_PATH
# $ source activate anaconda_venv
# $ cd /atlas/u/jkuck/rbpf_fireworks/
#
# To install anaconda packages run, e.g.:
# $ conda install -c matsci fireworks=1.3.9
#
#May need to run $ kinit -r 30d
#
# Add the following line to the file ~/.bashrc.user on Atlas:
# export PYTHONPATH="/atlas/u/jkuck/rbpf_fireworks:$PYTHONPATH"
# Weird, but to run commands like "lpad -l my_launchpad.yaml get_fws",
# add the following line to the file ~/.bashrc.user on Atlas:
# export PYTHONPATH="${PYTHONPATH}:/atlas/u/jkuck/rbpf_fireworks/KITTI_helpers/"
#
# To install cvxpy on atlas run (hopefully):
#
#$ export PATH=/opt/rh/python27/root/usr/bin:$PATH
#$ export LD_LIBRARY_PATH=/opt/rh/python27/root/usr/lib64/:$LD_LIBRARY_PATH
#$ pip install --user numpy
#$ pip install --user cvxpy
#
# Install pymatgen:
#$ pip install --user pymatgen
##########################################################################################
#
#Note, on Sherlock before this script:
#$ ml load python/2.7.5
#$ easy_install-2.7 --user pip
#$ export PATH=~/.local/bin:$PATH
#$ pip2.7 install --user fireworks #and others
#$ pip2.7 install --user filterpy
#$ pip2.7 install --user scipy --upgrade
#$ pip2.7 install --user munkres
#$ pip2.7 install --user pymatgen
#$ cd /scratch/users/kuck/rbpf_fireworks/
#
# Add the following line to the file ~/.bashrc on Sherlock:
# export PYTHONPATH="/scratch/users/kuck/rbpf_fireworks:$PYTHONPATH"
# Weird, but to run commands like "lpad -l my_launchpad.yaml get_fws",
# add the following line to the file ~/.bashrc.user on Atlas:
# export PYTHONPATH="${PYTHONPATH}:/scratch/users/kuck/rbpf_fireworks/KITTI_helpers/"
#
#
# When setting up:
# - make cluster_config.py file
# - make my_qadapter.yaml file (look at fireworks workflow manager website for info)
#
# To install cvxpy on sherlock run:
# $ pip2.7 install --user cvxpy
| 62.033419 | 422 | 0.542684 | 6,496 | 48,262 | 3.844674 | 0.078664 | 0.034595 | 0.025706 | 0.047127 | 0.812012 | 0.793033 | 0.777498 | 0.768408 | 0.761602 | 0.755355 | 0 | 0.059118 | 0.316543 | 48,262 | 777 | 423 | 62.113256 | 0.698045 | 0.20513 | 0 | 0.649425 | 0 | 0.015326 | 0.170993 | 0.071425 | 0 | 0 | 0 | 0 | 0.028736 | 0 | null | null | 0.011494 | 0.028736 | null | null | 0.042146 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e202fc9d430a3f9382d86eedc45b978821ce737d | 107 | py | Python | materiallibrary/__init__.py | xdze2/heatequation | 0d83df665925bd12dcbac4f444420b5ab0245779 | [
"MIT"
] | null | null | null | materiallibrary/__init__.py | xdze2/heatequation | 0d83df665925bd12dcbac4f444420b5ab0245779 | [
"MIT"
] | null | null | null | materiallibrary/__init__.py | xdze2/heatequation | 0d83df665925bd12dcbac4f444420b5ab0245779 | [
"MIT"
] | 1 | 2020-03-19T17:14:22.000Z | 2020-03-19T17:14:22.000Z |
from materiallibrary.materiallibrary import *
from materiallibrary.airtableimport import airtableimport
| 17.833333 | 57 | 0.869159 | 9 | 107 | 10.333333 | 0.444444 | 0.408602 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102804 | 107 | 5 | 58 | 21.4 | 0.96875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
ea255700f41fa4ddf3db1d9f70f85f64dc190a6f | 6,079 | py | Python | tests/infrastructure/test_bperegistry.py | maximzubkov/codeprep | 807ee1ea33796b6853c45e9dcb4e866b3f09a5f2 | [
"Apache-2.0"
] | 33 | 2020-03-02T23:42:15.000Z | 2022-03-18T02:34:32.000Z | tests/infrastructure/test_bperegistry.py | maximzubkov/codeprep | 807ee1ea33796b6853c45e9dcb4e866b3f09a5f2 | [
"Apache-2.0"
] | 10 | 2020-02-27T13:43:00.000Z | 2021-04-21T12:11:44.000Z | tests/infrastructure/test_bperegistry.py | maximzubkov/codeprep | 807ee1ea33796b6853c45e9dcb4e866b3f09a5f2 | [
"Apache-2.0"
] | 9 | 2020-03-16T14:28:06.000Z | 2021-09-30T09:40:56.000Z | # SPDX-FileCopyrightText: 2020 Hlib Babii <hlibbabii@gmail.com>
#
# SPDX-License-Identifier: Apache-2.0
import os
from unittest.mock import patch
from codeprep.pipeline.bperegistry import get_max_merges, format_available_merge_list_ids, get_min_merges
from codeprep.pipeline.dataset import create_new_id_from
PATH_TO_DATASET_BPE_DIR_STUB = os.path.join('/', 'path', 'to', 'dataset', 'bpe', 'dir')
PATH_TO_DATASET_STUB = os.path.join('/', 'path', 'to', 'dataset')
HLIB_PATH = '/home/hlib/path'
@patch("codeprep.bpepkg.bpe_config.BpeConfig", autospec=True)
def test_with_predefined_id(bpe_config_mock):
bpe_config_mock.to_suffix.return_value = ''
assert create_new_id_from(PATH_TO_DATASET_STUB, bpe_config_mock, 'id23') == 'id23'
@patch("codeprep.bpepkg.bpe_config.BpeConfig", autospec=True)
@patch('codeprep.pipeline.bperegistry._get_all_custom_bpe_codes_and_max_merges', autospec=True, return_value={})
def test_no_existing_bpe_codes(mock, bpe_config_mock):
bpe_config_mock.to_suffix.return_value = ''
assert create_new_id_from(PATH_TO_DATASET_STUB, bpe_config_mock) == 'dataset'
@patch("codeprep.bpepkg.bpe_config.BpeConfig", autospec=True)
@patch('codeprep.pipeline.bperegistry._get_all_custom_bpe_codes_and_max_merges', autospec=True,
return_value={'dataset': 10, 'dataset4': 20, 'dataset_3': 30})
def test_ids_for_same_dataset_exist(mock, bpe_config_mock):
bpe_config_mock.to_suffix.return_value = ''
assert create_new_id_from(PATH_TO_DATASET_STUB, bpe_config_mock) == 'dataset_4'
@patch("codeprep.bpepkg.bpe_config.BpeConfig", autospec=True)
def test_with_predefined_codes_id(bpe_config_mock):
bpe_config_mock.to_suffix.return_value = ""
assert create_new_id_from(HLIB_PATH, bpe_config_mock, 'my-id') == 'my-id'
@patch("codeprep.bpepkg.bpe_config.BpeConfig", autospec=True)
@patch('codeprep.pipeline.bperegistry._get_all_custom_bpe_codes_and_max_merges', autospec=True, return_value="")
def test_simple(mock, bpe_config_mock):
# given
bpe_config_mock.to_suffix.return_value = ""
assert create_new_id_from(HLIB_PATH, bpe_config_mock) == 'path'
@patch("codeprep.bpepkg.bpe_config.BpeConfig", autospec=True)
@patch('codeprep.pipeline.bperegistry._get_all_custom_bpe_codes_and_max_merges', autospec=True,
return_value={'path': 1000})
def test_same_path_exists(mock, bpe_config_mock):
# given
bpe_config_mock.to_suffix.return_value = ""
assert create_new_id_from(HLIB_PATH, bpe_config_mock) == 'path_1'
@patch("codeprep.bpepkg.bpe_config.BpeConfig", autospec=True)
@patch('codeprep.pipeline.bperegistry._get_all_custom_bpe_codes_and_max_merges', autospec=True,
return_value={'path': 1000, 'path_1': 2000})
def test_same_path_and_next_one_exist(mock, bpe_config_mock):
# given
bpe_config_mock.to_suffix.return_value = ""
assert create_new_id_from(HLIB_PATH, bpe_config_mock) == 'path_2'
@patch("codeprep.bpepkg.bpe_config.BpeConfig", autospec=True)
@patch('codeprep.pipeline.bperegistry._get_all_custom_bpe_codes_and_max_merges', autospec=True,
return_value={'path': 1000, 'path_28': 2000})
def test_same_path_and_one_more_exist(mock, bpe_config_mock):
# given
bpe_config_mock.to_suffix.return_value = ""
assert create_new_id_from(HLIB_PATH, bpe_config_mock) == 'path_29'
@patch('codeprep.pipeline.bperegistry.os.walk', return_value=iter([('', [], [])]))
def test_none(mocked_walk):
assert get_max_merges('.') is None
@patch('codeprep.pipeline.bperegistry._get_all_custom_bpe_codes_and_max_merges', autospec=True, return_value={})
def test_no_available_merge_lists(bpe_registry_mock):
assert format_available_merge_list_ids() == ""
@patch('codeprep.pipeline.bperegistry._get_all_custom_bpe_codes_and_max_merges', autospec=True,
return_value={"a": 1000, "b": 500})
def test_simple(mock):
assert format_available_merge_list_ids() == "a-[1..1000]\nb-[1..500]\n"
@patch('codeprep.pipeline.bperegistry._get_all_bpe_merges_dirs', autospec=True, return_value=[])
def test_max_no_folders(mock):
assert get_max_merges(PATH_TO_DATASET_BPE_DIR_STUB) is None
@patch('codeprep.pipeline.bperegistry._get_all_bpe_merges_dirs', autospec=True, return_value=[])
def test_min_no_folders(mock):
assert get_min_merges(PATH_TO_DATASET_BPE_DIR_STUB) is None
@patch('codeprep.pipeline.bperegistry._get_all_bpe_merges_dirs', autospec=True, return_value=['part_vocab'])
def test_max_with_non_number_folder(mock):
assert get_max_merges(PATH_TO_DATASET_BPE_DIR_STUB) is None
@patch('codeprep.pipeline.bperegistry._get_all_bpe_merges_dirs', autospec=True, return_value=['part_vocab'])
def test_min_with_non_number_folder(mock):
assert get_min_merges(PATH_TO_DATASET_BPE_DIR_STUB) is None
@patch('codeprep.pipeline.bperegistry._get_all_bpe_merges_dirs', autospec=True, return_value=['10', '20'])
def test_max_all_folders_above_limit(mock):
assert get_max_merges(PATH_TO_DATASET_BPE_DIR_STUB, 5) is None
@patch('codeprep.pipeline.bperegistry._get_all_bpe_merges_dirs', autospec=True, return_value=['10', '20'])
def test_min_all_folders_below_limit(mock):
assert get_min_merges(PATH_TO_DATASET_BPE_DIR_STUB) == 10
@patch('codeprep.pipeline.bperegistry._get_all_bpe_merges_dirs', autospec=True, return_value=['10', 'partvocab'])
def test_max_one_folder_available(mock):
assert get_max_merges(PATH_TO_DATASET_BPE_DIR_STUB) == 10
@patch('codeprep.pipeline.bperegistry._get_all_bpe_merges_dirs', autospec=True, return_value=['10', 'partvocab'])
def test_min_one_folder_available(mock):
assert get_max_merges(PATH_TO_DATASET_BPE_DIR_STUB) == 10
@patch('codeprep.pipeline.bperegistry._get_all_bpe_merges_dirs', autospec=True,
return_value=['10', '20', '15', '30', 'partvocab'])
def test_max_simple(mock):
assert get_max_merges(PATH_TO_DATASET_BPE_DIR_STUB, 20) == 20
@patch('codeprep.pipeline.bperegistry._get_all_bpe_merges_dirs', autospec=True,
return_value=['10', '20', '15', '30', 'partvocab'])
def test_min_simple(mock):
assert get_min_merges(PATH_TO_DATASET_BPE_DIR_STUB, 15) == 15 | 41.074324 | 113 | 0.785985 | 920 | 6,079 | 4.725 | 0.117391 | 0.066253 | 0.071774 | 0.139867 | 0.856223 | 0.84334 | 0.831838 | 0.78721 | 0.785829 | 0.784909 | 0 | 0.018994 | 0.09064 | 6,079 | 148 | 114 | 41.074324 | 0.767366 | 0.019905 | 0 | 0.450549 | 0 | 0 | 0.284322 | 0.243657 | 0 | 0 | 0 | 0 | 0.230769 | 1 | 0.230769 | false | 0 | 0.043956 | 0 | 0.274725 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
57a03241c69de6d626409e7b7e4b9aa47e044ab6 | 1,566 | py | Python | Attendance/controllers/get/all_groups.py | MishaVernik/StudentAttendance | 4dd5b0b95ed53e801a8138fa7d4313d145efc623 | [
"MIT"
] | null | null | null | Attendance/controllers/get/all_groups.py | MishaVernik/StudentAttendance | 4dd5b0b95ed53e801a8138fa7d4313d145efc623 | [
"MIT"
] | 10 | 2020-06-05T22:54:52.000Z | 2022-03-12T00:05:11.000Z | Attendance/controllers/get/all_groups.py | MishaVernik/StudentAttendance | 4dd5b0b95ed53e801a8138fa7d4313d145efc623 | [
"MIT"
] | null | null | null | import psycopg2
from Attendance.context.sql_connection import get_sql_connection
def group_ids(teacher_id):
all_group_ids = []
try:
connection = get_sql_connection()
cursor = connection.cursor()
postgre_sql_select_query = 'SELECT id, "group" FROM public.schedule WHERE teacher_id=%s'
#print(postgre_sql_select_query)
cursor.execute(postgre_sql_select_query, (teacher_id,))
mobile_records = cursor.fetchall()
for row in mobile_records:
all_group_ids.append(row[0])
except (Exception, psycopg2.DatabaseError) as error:
print("Error STUDENTS while doing smth in PostgreSQL", error)
student_or_teacher = 1
finally:
# closing database connection.
cursor.close()
connection.close()
return all_group_ids
def groups(teacher_id):
all_groups = []
try:
connection = get_sql_connection()
cursor = connection.cursor()
postgre_sql_select_query = 'SELECT id, "group" FROM public.schedule WHERE teacher_id=%s'
#print(postgre_sql_select_query)
cursor.execute(postgre_sql_select_query, (teacher_id,))
mobile_records = cursor.fetchall()
for row in mobile_records:
all_groups.append(row[1])
except (Exception, psycopg2.DatabaseError) as error:
print("Error STUDENTS while doing smth in PostgreSQL", error)
student_or_teacher = 1
finally:
# closing database connection.
cursor.close()
connection.close()
return all_groups
| 32.625 | 97 | 0.672414 | 185 | 1,566 | 5.427027 | 0.281081 | 0.053785 | 0.095618 | 0.125498 | 0.824701 | 0.824701 | 0.824701 | 0.824701 | 0.824701 | 0.824701 | 0 | 0.005927 | 0.245849 | 1,566 | 47 | 98 | 33.319149 | 0.8442 | 0.076628 | 0 | 0.722222 | 0 | 0 | 0.145631 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.055556 | 0 | 0.166667 | 0.055556 | 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 |
a4b7349bdaba35357407ffeda700e4219d009e81 | 6,269 | py | Python | loldib/getratings/models/NA/na_lulu/na_lulu_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_lulu/na_lulu_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_lulu/na_lulu_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | from getratings.models.ratings import Ratings
class NA_Lulu_Mid_Aatrox(Ratings):
pass
class NA_Lulu_Mid_Ahri(Ratings):
pass
class NA_Lulu_Mid_Akali(Ratings):
pass
class NA_Lulu_Mid_Alistar(Ratings):
pass
class NA_Lulu_Mid_Amumu(Ratings):
pass
class NA_Lulu_Mid_Anivia(Ratings):
pass
class NA_Lulu_Mid_Annie(Ratings):
pass
class NA_Lulu_Mid_Ashe(Ratings):
pass
class NA_Lulu_Mid_AurelionSol(Ratings):
pass
class NA_Lulu_Mid_Azir(Ratings):
pass
class NA_Lulu_Mid_Bard(Ratings):
pass
class NA_Lulu_Mid_Blitzcrank(Ratings):
pass
class NA_Lulu_Mid_Brand(Ratings):
pass
class NA_Lulu_Mid_Braum(Ratings):
pass
class NA_Lulu_Mid_Caitlyn(Ratings):
pass
class NA_Lulu_Mid_Camille(Ratings):
pass
class NA_Lulu_Mid_Cassiopeia(Ratings):
pass
class NA_Lulu_Mid_Chogath(Ratings):
pass
class NA_Lulu_Mid_Corki(Ratings):
pass
class NA_Lulu_Mid_Darius(Ratings):
pass
class NA_Lulu_Mid_Diana(Ratings):
pass
class NA_Lulu_Mid_Draven(Ratings):
pass
class NA_Lulu_Mid_DrMundo(Ratings):
pass
class NA_Lulu_Mid_Ekko(Ratings):
pass
class NA_Lulu_Mid_Elise(Ratings):
pass
class NA_Lulu_Mid_Evelynn(Ratings):
pass
class NA_Lulu_Mid_Ezreal(Ratings):
pass
class NA_Lulu_Mid_Fiddlesticks(Ratings):
pass
class NA_Lulu_Mid_Fiora(Ratings):
pass
class NA_Lulu_Mid_Fizz(Ratings):
pass
class NA_Lulu_Mid_Galio(Ratings):
pass
class NA_Lulu_Mid_Gangplank(Ratings):
pass
class NA_Lulu_Mid_Garen(Ratings):
pass
class NA_Lulu_Mid_Gnar(Ratings):
pass
class NA_Lulu_Mid_Gragas(Ratings):
pass
class NA_Lulu_Mid_Graves(Ratings):
pass
class NA_Lulu_Mid_Hecarim(Ratings):
pass
class NA_Lulu_Mid_Heimerdinger(Ratings):
pass
class NA_Lulu_Mid_Illaoi(Ratings):
pass
class NA_Lulu_Mid_Irelia(Ratings):
pass
class NA_Lulu_Mid_Ivern(Ratings):
pass
class NA_Lulu_Mid_Janna(Ratings):
pass
class NA_Lulu_Mid_JarvanIV(Ratings):
pass
class NA_Lulu_Mid_Jax(Ratings):
pass
class NA_Lulu_Mid_Jayce(Ratings):
pass
class NA_Lulu_Mid_Jhin(Ratings):
pass
class NA_Lulu_Mid_Jinx(Ratings):
pass
class NA_Lulu_Mid_Kalista(Ratings):
pass
class NA_Lulu_Mid_Karma(Ratings):
pass
class NA_Lulu_Mid_Karthus(Ratings):
pass
class NA_Lulu_Mid_Kassadin(Ratings):
pass
class NA_Lulu_Mid_Katarina(Ratings):
pass
class NA_Lulu_Mid_Kayle(Ratings):
pass
class NA_Lulu_Mid_Kayn(Ratings):
pass
class NA_Lulu_Mid_Kennen(Ratings):
pass
class NA_Lulu_Mid_Khazix(Ratings):
pass
class NA_Lulu_Mid_Kindred(Ratings):
pass
class NA_Lulu_Mid_Kled(Ratings):
pass
class NA_Lulu_Mid_KogMaw(Ratings):
pass
class NA_Lulu_Mid_Leblanc(Ratings):
pass
class NA_Lulu_Mid_LeeSin(Ratings):
pass
class NA_Lulu_Mid_Leona(Ratings):
pass
class NA_Lulu_Mid_Lissandra(Ratings):
pass
class NA_Lulu_Mid_Lucian(Ratings):
pass
class NA_Lulu_Mid_Lulu(Ratings):
pass
class NA_Lulu_Mid_Lux(Ratings):
pass
class NA_Lulu_Mid_Malphite(Ratings):
pass
class NA_Lulu_Mid_Malzahar(Ratings):
pass
class NA_Lulu_Mid_Maokai(Ratings):
pass
class NA_Lulu_Mid_MasterYi(Ratings):
pass
class NA_Lulu_Mid_MissFortune(Ratings):
pass
class NA_Lulu_Mid_MonkeyKing(Ratings):
pass
class NA_Lulu_Mid_Mordekaiser(Ratings):
pass
class NA_Lulu_Mid_Morgana(Ratings):
pass
class NA_Lulu_Mid_Nami(Ratings):
pass
class NA_Lulu_Mid_Nasus(Ratings):
pass
class NA_Lulu_Mid_Nautilus(Ratings):
pass
class NA_Lulu_Mid_Nidalee(Ratings):
pass
class NA_Lulu_Mid_Nocturne(Ratings):
pass
class NA_Lulu_Mid_Nunu(Ratings):
pass
class NA_Lulu_Mid_Olaf(Ratings):
pass
class NA_Lulu_Mid_Orianna(Ratings):
pass
class NA_Lulu_Mid_Ornn(Ratings):
pass
class NA_Lulu_Mid_Pantheon(Ratings):
pass
class NA_Lulu_Mid_Poppy(Ratings):
pass
class NA_Lulu_Mid_Quinn(Ratings):
pass
class NA_Lulu_Mid_Rakan(Ratings):
pass
class NA_Lulu_Mid_Rammus(Ratings):
pass
class NA_Lulu_Mid_RekSai(Ratings):
pass
class NA_Lulu_Mid_Renekton(Ratings):
pass
class NA_Lulu_Mid_Rengar(Ratings):
pass
class NA_Lulu_Mid_Riven(Ratings):
pass
class NA_Lulu_Mid_Rumble(Ratings):
pass
class NA_Lulu_Mid_Ryze(Ratings):
pass
class NA_Lulu_Mid_Sejuani(Ratings):
pass
class NA_Lulu_Mid_Shaco(Ratings):
pass
class NA_Lulu_Mid_Shen(Ratings):
pass
class NA_Lulu_Mid_Shyvana(Ratings):
pass
class NA_Lulu_Mid_Singed(Ratings):
pass
class NA_Lulu_Mid_Sion(Ratings):
pass
class NA_Lulu_Mid_Sivir(Ratings):
pass
class NA_Lulu_Mid_Skarner(Ratings):
pass
class NA_Lulu_Mid_Sona(Ratings):
pass
class NA_Lulu_Mid_Soraka(Ratings):
pass
class NA_Lulu_Mid_Swain(Ratings):
pass
class NA_Lulu_Mid_Syndra(Ratings):
pass
class NA_Lulu_Mid_TahmKench(Ratings):
pass
class NA_Lulu_Mid_Taliyah(Ratings):
pass
class NA_Lulu_Mid_Talon(Ratings):
pass
class NA_Lulu_Mid_Taric(Ratings):
pass
class NA_Lulu_Mid_Teemo(Ratings):
pass
class NA_Lulu_Mid_Thresh(Ratings):
pass
class NA_Lulu_Mid_Tristana(Ratings):
pass
class NA_Lulu_Mid_Trundle(Ratings):
pass
class NA_Lulu_Mid_Tryndamere(Ratings):
pass
class NA_Lulu_Mid_TwistedFate(Ratings):
pass
class NA_Lulu_Mid_Twitch(Ratings):
pass
class NA_Lulu_Mid_Udyr(Ratings):
pass
class NA_Lulu_Mid_Urgot(Ratings):
pass
class NA_Lulu_Mid_Varus(Ratings):
pass
class NA_Lulu_Mid_Vayne(Ratings):
pass
class NA_Lulu_Mid_Veigar(Ratings):
pass
class NA_Lulu_Mid_Velkoz(Ratings):
pass
class NA_Lulu_Mid_Vi(Ratings):
pass
class NA_Lulu_Mid_Viktor(Ratings):
pass
class NA_Lulu_Mid_Vladimir(Ratings):
pass
class NA_Lulu_Mid_Volibear(Ratings):
pass
class NA_Lulu_Mid_Warwick(Ratings):
pass
class NA_Lulu_Mid_Xayah(Ratings):
pass
class NA_Lulu_Mid_Xerath(Ratings):
pass
class NA_Lulu_Mid_XinZhao(Ratings):
pass
class NA_Lulu_Mid_Yasuo(Ratings):
pass
class NA_Lulu_Mid_Yorick(Ratings):
pass
class NA_Lulu_Mid_Zac(Ratings):
pass
class NA_Lulu_Mid_Zed(Ratings):
pass
class NA_Lulu_Mid_Ziggs(Ratings):
pass
class NA_Lulu_Mid_Zilean(Ratings):
pass
class NA_Lulu_Mid_Zyra(Ratings):
pass
| 15.033573 | 46 | 0.75642 | 972 | 6,269 | 4.452675 | 0.151235 | 0.223198 | 0.350739 | 0.446396 | 0.791359 | 0.791359 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177221 | 6,269 | 416 | 47 | 15.069712 | 0.839085 | 0 | 0 | 0.498195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.498195 | 0.00361 | 0 | 0.501805 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
a4cc8e98e175f71654b2e555a014327edd4a1834 | 585 | py | Python | train_mosmed_timm-regnetx_002_shift_scale_rotate.py | BrunoKrinski/segtool | cb604b5f38104c43a76450136e37c3d1c4b6d275 | [
"MIT"
] | null | null | null | train_mosmed_timm-regnetx_002_shift_scale_rotate.py | BrunoKrinski/segtool | cb604b5f38104c43a76450136e37c3d1c4b6d275 | [
"MIT"
] | null | null | null | train_mosmed_timm-regnetx_002_shift_scale_rotate.py | BrunoKrinski/segtool | cb604b5f38104c43a76450136e37c3d1c4b6d275 | [
"MIT"
] | null | null | null | import os
ls=["python main.py --configs configs/train_mosmed_unetplusplus_timm-regnetx_002_fold0_shift_scale_rotate.yml",
"python main.py --configs configs/train_mosmed_unetplusplus_timm-regnetx_002_fold1_shift_scale_rotate.yml",
"python main.py --configs configs/train_mosmed_unetplusplus_timm-regnetx_002_fold2_shift_scale_rotate.yml",
"python main.py --configs configs/train_mosmed_unetplusplus_timm-regnetx_002_fold3_shift_scale_rotate.yml",
"python main.py --configs configs/train_mosmed_unetplusplus_timm-regnetx_002_fold4_shift_scale_rotate.yml",
]
for l in ls:
os.system(l) | 53.181818 | 111 | 0.85812 | 90 | 585 | 5.133333 | 0.288889 | 0.108225 | 0.12987 | 0.205628 | 0.84632 | 0.84632 | 0.84632 | 0.84632 | 0.84632 | 0.84632 | 0 | 0.036101 | 0.052991 | 585 | 11 | 112 | 53.181818 | 0.797834 | 0 | 0 | 0 | 0 | 0 | 0.887372 | 0.674061 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
a4d12071634493f3e74eaa5170bd78106b29db5e | 28,415 | py | Python | infoblox_netmri/api/broker/v3_8_0/access_objects_access_search_issue_type_broker.py | infobloxopen/infoblox_netmri | aa1c744df7e439dbe163bb9edd165e4e85a9771b | [
"Apache-2.0"
] | 12 | 2016-02-19T12:37:54.000Z | 2022-03-04T20:11:08.000Z | infoblox_netmri/api/broker/v3_8_0/access_objects_access_search_issue_type_broker.py | azinfoblox/infoblox-netmri | 02372c5231e2677ab6299cb659a73c9a41b4b0f4 | [
"Apache-2.0"
] | 18 | 2015-11-12T18:37:00.000Z | 2021-05-19T07:59:55.000Z | infoblox_netmri/api/broker/v3_8_0/access_objects_access_search_issue_type_broker.py | azinfoblox/infoblox-netmri | 02372c5231e2677ab6299cb659a73c9a41b4b0f4 | [
"Apache-2.0"
] | 18 | 2016-01-07T12:04:34.000Z | 2022-03-31T11:05:41.000Z | from ..broker import Broker
class AccessObjectsAccessSearchIssueTypeBroker(Broker):
controller = "access_objects_access_search_issue_types"
def show(self, **kwargs):
"""Shows the details for the specified access objects access search issue type.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` True
| ``default:`` None
:param id: The internal NetMRI identifier for this access search alert.
:type id: Integer
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return access_objects_access_search_issue_type: The access objects access search issue type identified by the specified id.
:rtype access_objects_access_search_issue_type: AccessObjectsAccessSearchIssueType
"""
return self.api_request(self._get_method_fullname("show"), kwargs)
def index(self, **kwargs):
"""Lists the available access objects access search issue types. 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:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param id: The internal NetMRI identifier for this access search alert.
:type id: Array of Integer
| ``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:`` id
:param sort: The data field(s) to use for sorting the output. Default is id. Valid values are id, access_search_issue_type_id, access_search_issue_type_field, element_type, element_id, name, value.
: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 AccessObjectsAccessSearchIssueType. Valid values are id, access_search_issue_type_id, access_search_issue_type_field, element_type, element_id, name, value. 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 access_objects_access_search_issue_types: An array of the AccessObjectsAccessSearchIssueType objects that match the specified input criteria.
:rtype access_objects_access_search_issue_types: Array of AccessObjectsAccessSearchIssueType
"""
return self.api_list_request(self._get_method_fullname("index"), kwargs)
def search(self, **kwargs):
"""Lists the available access objects access search issue types 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:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param access_search_issue_type_field: The name of the issue type field.
:type access_search_issue_type_field: Array of String
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param access_search_issue_type_id: The internal NetMRI identifier for the access search issue type this record is associated with.
:type access_search_issue_type_id: Array of Integer
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param element_id: The internal NetMRI identifier for the related element_type, NULL for a direct value.
:type element_id: Array of Integer
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param element_type: The element type, DeviceObject, DeviceService, IPv4Value, or FlowValue.
:type element_type: Array of String
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param id: The internal NetMRI identifier for this access search alert.
:type id: Array of Integer
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param name: The global name of the object, NULL for a direct value.
:type name: Array of String
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param value: The value of the object or direct value. A list of ipv4 or flow value in csv format.
:type value: 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:`` id
:param sort: The data field(s) to use for sorting the output. Default is id. Valid values are id, access_search_issue_type_id, access_search_issue_type_field, element_type, element_id, name, value.
: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 AccessObjectsAccessSearchIssueType. Valid values are id, access_search_issue_type_id, access_search_issue_type_field, element_type, element_id, name, value. 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 access objects access search issue types, 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: access_search_issue_type_field, access_search_issue_type_id, element_id, element_type, id, name, value.
: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 access_objects_access_search_issue_types: An array of the AccessObjectsAccessSearchIssueType objects that match the specified input criteria.
:rtype access_objects_access_search_issue_types: Array of AccessObjectsAccessSearchIssueType
"""
return self.api_list_request(self._get_method_fullname("search"), kwargs)
def find(self, **kwargs):
"""Lists the available access objects access search issue types 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: access_search_issue_type_field, access_search_issue_type_id, element_id, element_type, id, name, value.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_access_search_issue_type_field: The operator to apply to the field access_search_issue_type_field. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. access_search_issue_type_field: The name of the issue type field. 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_access_search_issue_type_field: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_access_search_issue_type_field: If op_access_search_issue_type_field is specified, the field named in this input will be compared to the value in access_search_issue_type_field 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_access_search_issue_type_field must be specified if op_access_search_issue_type_field is specified.
:type val_f_access_search_issue_type_field: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_access_search_issue_type_field: If op_access_search_issue_type_field is specified, this value will be compared to the value in access_search_issue_type_field using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_access_search_issue_type_field must be specified if op_access_search_issue_type_field is specified.
:type val_c_access_search_issue_type_field: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_access_search_issue_type_id: The operator to apply to the field access_search_issue_type_id. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. access_search_issue_type_id: The internal NetMRI identifier for the access search issue type this record is associated with. 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_access_search_issue_type_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_access_search_issue_type_id: If op_access_search_issue_type_id is specified, the field named in this input will be compared to the value in access_search_issue_type_id 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_access_search_issue_type_id must be specified if op_access_search_issue_type_id is specified.
:type val_f_access_search_issue_type_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_access_search_issue_type_id: If op_access_search_issue_type_id is specified, this value will be compared to the value in access_search_issue_type_id using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_access_search_issue_type_id must be specified if op_access_search_issue_type_id is specified.
:type val_c_access_search_issue_type_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_element_id: The operator to apply to the field element_id. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. element_id: The internal NetMRI identifier for the related element_type, NULL for a direct value. 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_element_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_element_id: If op_element_id is specified, the field named in this input will be compared to the value in element_id 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_element_id must be specified if op_element_id is specified.
:type val_f_element_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_element_id: If op_element_id is specified, this value will be compared to the value in element_id using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_element_id must be specified if op_element_id is specified.
:type val_c_element_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_element_type: The operator to apply to the field element_type. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. element_type: The element type, DeviceObject, DeviceService, IPv4Value, or FlowValue. 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_element_type: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_element_type: If op_element_type is specified, the field named in this input will be compared to the value in element_type 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_element_type must be specified if op_element_type is specified.
:type val_f_element_type: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_element_type: If op_element_type is specified, this value will be compared to the value in element_type using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_element_type must be specified if op_element_type is specified.
:type val_c_element_type: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_id: The operator to apply to the field id. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. id: The internal NetMRI identifier for this access search alert. 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_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_id: If op_id is specified, the field named in this input will be compared to the value in id 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_id must be specified if op_id is specified.
:type val_f_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_id: If op_id is specified, this value will be compared to the value in id using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_id must be specified if op_id is specified.
:type val_c_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_name: The operator to apply to the field name. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. name: The global name of the object, NULL for a direct value. 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_name: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_name: If op_name is specified, the field named in this input will be compared to the value in name 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_name must be specified if op_name is specified.
:type val_f_name: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_name: If op_name is specified, this value will be compared to the value in name using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_name must be specified if op_name is specified.
:type val_c_name: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_value: The operator to apply to the field value. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. value: The value of the object or direct value. A list of ipv4 or flow value in csv 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_value: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_value: If op_value is specified, the field named in this input will be compared to the value in value 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_value must be specified if op_value is specified.
:type val_f_value: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_value: If op_value is specified, this value will be compared to the value in value using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_value must be specified if op_value is specified.
:type val_c_value: 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:`` id
:param sort: The data field(s) to use for sorting the output. Default is id. Valid values are id, access_search_issue_type_id, access_search_issue_type_field, element_type, element_id, name, value.
: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 AccessObjectsAccessSearchIssueType. Valid values are id, access_search_issue_type_id, access_search_issue_type_field, element_type, element_id, name, value. 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 access_objects_access_search_issue_types: An array of the AccessObjectsAccessSearchIssueType objects that match the specified input criteria.
:rtype access_objects_access_search_issue_types: Array of AccessObjectsAccessSearchIssueType
"""
return self.api_list_request(self._get_method_fullname("find"), kwargs)
| 55.282101 | 541 | 0.623298 | 3,786 | 28,415 | 4.553619 | 0.066033 | 0.067285 | 0.068039 | 0.07065 | 0.923376 | 0.918271 | 0.902958 | 0.89971 | 0.889965 | 0.889733 | 0 | 0.004957 | 0.297167 | 28,415 | 513 | 542 | 55.389864 | 0.858295 | 0.82474 | 0 | 0 | 0 | 0 | 0.093502 | 0.063391 | 0 | 0 | 0 | 0 | 0 | 1 | 0.363636 | false | 0 | 0.090909 | 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 | 1 | 0 | 0 | 9 |
101f58e96a740af06a56ede42bbbfb1e7cfe0ac0 | 2,204 | py | Python | new_york_times/abc.py | Ovlic/ovlic.py | e776f5f84fbb15c12866a2d49997a21acde29fdb | [
"MIT"
] | null | null | null | new_york_times/abc.py | Ovlic/ovlic.py | e776f5f84fbb15c12866a2d49997a21acde29fdb | [
"MIT"
] | null | null | null | new_york_times/abc.py | Ovlic/ovlic.py | e776f5f84fbb15c12866a2d49997a21acde29fdb | [
"MIT"
] | null | null | null | import abc
class Article(metaclass=abc.ABCMeta):
@property
@abc.abstractmethod
def section(self):
pass
@property
@abc.abstractmethod
def subsection(self):
pass
@property
@abc.abstractmethod
def title(self):
pass
@property
@abc.abstractmethod
def abstract(self):
pass
@property
@abc.abstractmethod
def byline(self):
pass
@property
@abc.abstractmethod
def url(self):
pass
@property
@abc.abstractmethod
def uri(self):
pass
@property
@abc.abstractmethod
def updated_date(self):
pass
@property
@abc.abstractmethod
def created_date(self):
pass
@property
@abc.abstractmethod
def published_date(self):
pass
@property
@abc.abstractmethod
def material_type_facet(self):
pass
@property
@abc.abstractmethod
def kicker(self):
pass
@property
@abc.abstractmethod
def des_facet(self):
pass
@property
@abc.abstractmethod
def org_facet(self):
pass
@property
@abc.abstractmethod
def per_facet(self):
pass
@property
@abc.abstractmethod
def geo_facet(self):
pass
@property
@abc.abstractmethod
def short_url(self):
pass
class Image(metaclass=abc.ABCMeta):
@property
@abc.abstractmethod
def url(self):
pass
@property
@abc.abstractmethod
def format(self):
pass
@property
@abc.abstractmethod
def caption(self):
pass
@property
@abc.abstractmethod
def copyright(self):
pass
@property
@abc.abstractmethod
def media_type(self):
pass
@property
@abc.abstractmethod
def width(self):
pass
@property
@abc.abstractmethod
def height(self):
pass | 17.918699 | 38 | 0.51225 | 191 | 2,204 | 5.853403 | 0.198953 | 0.236136 | 0.536673 | 0.601073 | 0.830948 | 0.830948 | 0.469589 | 0.119857 | 0.119857 | 0.119857 | 0 | 0 | 0.417877 | 2,204 | 123 | 39 | 17.918699 | 0.871395 | 0 | 0 | 0.747475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.242424 | false | 0.242424 | 0.010101 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
102a970910995b0df6fd9db8a2ad7b10b2daa146 | 167 | py | Python | tottle/types/updates/inline_query.py | muffleo/tottle | 69a5bdda879ab56d43505d517d3369a687c135a2 | [
"MIT"
] | 12 | 2020-09-06T15:31:34.000Z | 2021-02-27T20:30:34.000Z | tottle/types/updates/inline_query.py | cyanlabs-org/tottle | 6cf02022ed7b445c9b5af475c6e854b91780d792 | [
"MIT"
] | 2 | 2021-04-13T06:43:42.000Z | 2021-07-07T20:52:39.000Z | tottle/types/updates/inline_query.py | cyanlabs-org/tottle | 6cf02022ed7b445c9b5af475c6e854b91780d792 | [
"MIT"
] | 4 | 2020-09-12T03:09:25.000Z | 2021-03-22T08:52:04.000Z | from tottle.types.objects.query import InlineQuery
from tottle.types.updates.base import BaseBotUpdate
class InlineQueryUpdate(BaseBotUpdate, InlineQuery):
pass
| 23.857143 | 52 | 0.832335 | 19 | 167 | 7.315789 | 0.684211 | 0.143885 | 0.215827 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107784 | 167 | 6 | 53 | 27.833333 | 0.932886 | 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 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
1075eead3dd737933ca14a307ec342f2a84bc5e1 | 13,233 | py | Python | covid19_api/api/namespaces/vaccination_data.py | chong601/moh-covid19-api | b762755e9ff5bb11b99102d305753dcd6122afbe | [
"MIT"
] | 1 | 2021-09-15T13:49:05.000Z | 2021-09-15T13:49:05.000Z | covid19_api/api/namespaces/vaccination_data.py | chong601/moh-covid19-api | b762755e9ff5bb11b99102d305753dcd6122afbe | [
"MIT"
] | 2 | 2021-08-15T07:56:20.000Z | 2021-08-17T22:41:44.000Z | covid19_api/api/namespaces/vaccination_data.py | chong601/moh-covid19-api | b762755e9ff5bb11b99102d305753dcd6122afbe | [
"MIT"
] | null | null | null | from flask_restx import Namespace, Resource, fields, abort
from flask_sqlalchemy import Pagination
from covid19_api.db_model.sqlalchemy_models import VaxMalaysia, VaxState
from covid19_api.api import db
api = Namespace('vaccination', 'COVID-19 vaccination data')
vax_malaysia = api.model('vax_malaysia', {
'row_id': fields.Integer(title='Row ID'),
'row_version': fields.Integer(title='Row version'),
'date': fields.Date(title='Date'),
'daily_partial': fields.Integer(title='1st doses (for double-dose vaccines) delivered between 0000 and 2359 on date'),
'daily_full': fields.Integer(title='2nd doses (for double-dose vaccines) and 1-dose vaccines (e.g. Cansino) delivered between 0000 and 2359 on date.'),
'daily': fields.Integer(title='Total daily delivered between 0000 and 2359 on date'),
'daily_partial_child': fields.Integer(title='1st doses (for double-dose vaccines) delivered for children between 0000 and 2359 on date'),
'daily_full_child': fields.Integer(title='2nd doses (for double-dose vaccines) and 1-dose vaccines (e.g. Cansino) delivered for children between 0000 and 2359 on date.'),
'cumul_partial': fields.Integer(title='Sum of cumulative partial doses delivered until row date'),
'cumul_full': fields.Integer(title='Sum of cumulative full doses delivered until row date'),
'cumul': fields.Integer(title='Total cumulative doses delivered until row date'),
'cumul_partial_child': fields.Integer(title='Sum of cumulative 1st doses (for double-dose vaccines) delivered for children between 0000 and 2359 on date'),
'cumul_full_child': fields.Integer(title='Sum of cumulative 2nd doses (for double-dose vaccines) and 1-dose vaccines (e.g. Cansino) delivered for children between 0000 and 2359 on date.'),
'pfizer1': fields.Integer(title='1st dose of PFizer vaccine delivered between 0000 and 2359 on date'),
'pfizer2': fields.Integer(title='2nd dose of PFizer vaccine delivered between 0000 and 2359 on date'),
'sinovac1': fields.Integer(title='1st dose of SinoVac vaccine delivered between 0000 and 2359 on date'),
'sinovac2': fields.Integer(title='2nd dose of SinoVac vaccine delivered between 0000 and 2359 on date'),
'astra1': fields.Integer(title='1st dose of AstraZeneca vaccine delivered between 0000 and 2359 on date'),
'astra2': fields.Integer(title='2nd dose of AstraZeneca vaccine delivered between 0000 and 2359 on date'),
'astra2': fields.Integer(title='2nd dose of AstraZeneca vaccine delivered between 0000 and 2359 on date'),
'cansino': fields.Integer(title='Single-dose CanSino vaccine delivered between 0000 and 2359 on date'),
'pending': fields.Integer(title='Doses delivered that are quarantined in VMS (Vaccine Management System)'),
})
vax_state = api.model('vax_state', {
'row_id': fields.Integer(title='Row ID'),
'row_version': fields.Integer(title='Row version'),
'date': fields.Date(title='Date'),
'state': fields.String(title='State name'),
'daily_partial': fields.Integer(title='1st doses (for double-dose vaccines) delivered between 0000 and 2359 on date'),
'daily_full': fields.Integer(title='2nd doses (for double-dose vaccines) and 1-dose vaccines (e.g. Cansino) delivered between 0000 and 2359 on date.'),
'daily': fields.Integer(title='Total daily delivered between 0000 and 2359 on date'),
'daily_partial_child': fields.Integer(title='1st doses (for double-dose vaccines) delivered for children between 0000 and 2359 on date'),
'daily_full_child': fields.Integer(title='2nd doses (for double-dose vaccines) and 1-dose vaccines (e.g. Cansino) delivered for children between 0000 and 2359 on date.'),
'cumul_partial': fields.Integer(title='Sum of cumulative partial doses delivered until row date'),
'cumul_full': fields.Integer(title='Sum of cumulative full doses delivered until row date'),
'cumul': fields.Integer(title='Total cumulative doses delivered until row date'),
'cumul_partial_child': fields.Integer(title='Sum of cumulative 1st doses (for double-dose vaccines) delivered for children between 0000 and 2359 on date'),
'cumul_full_child': fields.Integer(title='Sum of cumulative 2nd doses (for double-dose vaccines) and 1-dose vaccines (e.g. Cansino) delivered for children between 0000 and 2359 on date.'),
'pfizer1': fields.Integer(title='1st dose of PFizer vaccine delivered between 0000 and 2359 on date'),
'pfizer2': fields.Integer(title='2nd dose of PFizer vaccine delivered between 0000 and 2359 on date'),
'sinovac1': fields.Integer(title='1st dose of SinoVac vaccine delivered between 0000 and 2359 on date'),
'sinovac2': fields.Integer(title='2nd dose of SinoVac vaccine delivered between 0000 and 2359 on date'),
'astra1': fields.Integer(title='1st dose of AstraZeneca vaccine delivered between 0000 and 2359 on date'),
'astra2': fields.Integer(title='2nd dose of AstraZeneca vaccine delivered between 0000 and 2359 on date'),
'cansino': fields.Integer(title='Single-dose CanSino vaccine delivered between 0000 and 2359 on date'),
'pending': fields.Integer(title='Doses delivered that are quarantined in VMS (Vaccine Management System)'),
})
pagination_parser = api.parser()
pagination_parser.add_argument('page', location='args', help='Page number', type=int)
pagination_parser.add_argument('size', location='args', help='Items per page', type=int)
@api.route('/vax_malaysia')
class VaxMalaysiaWithPagination(Resource):
@api.expect(pagination_parser)
@api.marshal_with(vax_malaysia, as_list=True, skip_none=True)
def get(self):
"""
Get country-wide vaccination data with pagination support
Defaults to vaccination data for the last 7 days sorted by date in ascending order.
Size parameter is optional and defaults to 10.
"""
args: dict = pagination_parser.parse_args()
page = args.get('page') or 1
size = args.get('size') or 7
date_subquery = db.session.query(VaxMalaysia.date)
query = db.session.query(VaxMalaysia)
if not (args['page'] or args['size']):
date_subquery = date_subquery.order_by(VaxMalaysia.date.desc()).limit(7)
query = query.filter(VaxMalaysia.date.in_(date_subquery)).order_by(VaxMalaysia.date)
result:Pagination = query.paginate(page, size, error_out=False)
if result.items:
return result.items
abort(404, f"Invalid page number '{page}'. Valid page numbers are between 1 to {result.pages} for size of {result.per_page} item(s)")
@api.route('/vax_malaysia/<string:date>')
class VaxMalaysiaByDate(Resource):
@api.marshal_with(vax_malaysia, skip_none=True)
def get(self, date):
"""
Get vaccination data by date
Defaults to vaccination data for the last 7 days sorted by date in ascending order.
Size parameter is optional and defaults to 10.
"""
query = db.session.query(VaxMalaysia).filter(VaxMalaysia.date == date)
if db.session.query(query.exists()).scalar():
result = query.first()
return result
abort(404, error=f"Date '{date}' is not found in database.")
@api.route('/vax_state')
class VaxStateWithPagination(Resource):
@api.expect(pagination_parser)
@api.marshal_with(vax_state, as_list=True, skip_none=True)
def get(self):
"""
Get country-wide vaccination data with pagination support
Defaults to vaccination data for the last 7 days sorted by date in ascending order.
Size parameter is optional and defaults to 10.
"""
args: dict = pagination_parser.parse_args()
page = args.get('page') or 1
# We don't use size against the final result, instead on the number of dates
size = args.get('size') or 7
date_subquery = db.session.query(VaxState.date).group_by(VaxState.date)
query = db.session.query(VaxState)
if not (args['page'] or args['size']):
date_subquery = date_subquery.order_by(VaxState.date.desc()).limit(7)
query = query.filter(VaxState.date.in_(date_subquery)).order_by(VaxState.date, VaxState.state)
return query.all()
# Handle date bullshit first, then deal with actual data
# Get dates based on the pagination values
date_result: Pagination = date_subquery.paginate(page, size, error_out=False)
# Get all dates returned by the pagination
dates = [date[0] for date in date_result.items]
# Future project: implement pagination logic and expose it to end user
attr = {a: getattr(date_result, a) for a in dir(date_result) if not a.startswith('__') and not callable(getattr(date_result, a))}
if 'query' in attr:
compile = attr['query'].statement.compile()
attr.update({'query_string': compile.string})
attr.update({'query_param': compile.params})
del attr['query']
# Query the database with the rows selected from pagination
# Think of this as a subquery-ish method, except that the query is done separately like:
#
# pagination_result = select date from vax_state group by date order by date offset (SELECT (page_number - 1) * size) limit size;
# query = select * from vax_state where date in (pagination.result);
query = query.filter(VaxState.date.in_(dates)).order_by(VaxState.date, VaxState.state)
result = query.all()
if result:
return result
abort(404, f"Invalid page number '{page}'. Valid page numbers are between 1 to {date_result.pages} for size of {date_result.per_page} item(s)")
@api.route('/vax_state/<string:state>')
class VaxStateByStateWithPagination(Resource):
@api.expect(pagination_parser)
@api.marshal_with(vax_state, as_list=True, skip_none=True)
def get(self, state=None):
"""
Get vaccination data by date
Defaults to vaccination data for the last 7 days sorted by date in ascending order.
Size parameter is optional and defaults to 10.
"""
args: dict = pagination_parser.parse_args()
page = args.get('page') or 1
size = args.get('size') or 7
date_subquery = db.session.query(VaxState.date).group_by(VaxState.date)
query = db.session.query(VaxState)
if state != 'all':
state_exists = db.session.query(db.session.query(VaxState.state).filter(VaxState.state.ilike(f'%{state}')).exists()).scalar()
if state_exists:
query = query.filter(VaxState.state.ilike(f'%{state}'))
else:
abort(404, f"State name '{state}' not found in database")
if not (args['page'] or args['size']):
date_subquery = date_subquery.order_by(VaxState.date.desc()).limit(7)
query = query.filter(VaxState.date.in_(date_subquery)).order_by(VaxState.date, VaxState.state)
return query.all()
# Handle date bullshit first, then deal with actual data
# Get dates based on the pagination values
date_subquery = date_subquery.order_by(VaxState.date)
date_result: Pagination = date_subquery.paginate(page, size, error_out=False)
# Get all dates returned by the pagination
dates = [date[0] for date in date_result.items]
# Future project: implement pagination logic and expose it to end user
attr = {a: getattr(date_result, a) for a in dir(date_result) if not a.startswith('__') and not callable(getattr(date_result, a))}
if 'query' in attr:
compile = attr['query'].statement.compile()
attr.update({'query_string': compile.string})
attr.update({'query_param': compile.params})
del attr['query']
# Query the database with the rows selected from pagination
# Think of this as a subquery-ish method, except that the query is done separately like:
#
# pagination_result = select date from hospital_by_state group by date order by date offset (SELECT (page_number - 1) * size) limit size;
# query = select * from hospital_by_state where date in (pagination.result);
query = query.filter(VaxState.date.in_(dates)).order_by(VaxState.date, VaxState.state)
result = query.all()
if result:
return result
abort(404, f"Invalid page number '{page}'. Valid page numbers are between 1 to {date_result.pages} for size of {date_result.per_page} item(s)")
@api.route('/vax_state/<string:state>/<string:date>')
class VaxStateByStateByDateWithPagination(Resource):
@api.marshal_with(vax_state, skip_none=True)
def get(self, state=None, date=None):
query = db.session.query(VaxState)
if state == 'all':
query = query.filter(VaxState.date == date)
return query.all()
else:
query = query.filter(VaxState.state.ilike(state), VaxState.date == date)
if db.session.query(query.exists()).scalar():
result = query.first()
return result
abort(404, error=f"State '{state}' with date '{date}' is not found in database.")
| 54.681818 | 192 | 0.691453 | 1,826 | 13,233 | 4.930449 | 0.116101 | 0.059202 | 0.081973 | 0.057981 | 0.888704 | 0.865378 | 0.842497 | 0.832945 | 0.81595 | 0.810397 | 0 | 0.031037 | 0.20139 | 13,233 | 241 | 193 | 54.908714 | 0.820874 | 0.142598 | 0 | 0.700637 | 0 | 0.070064 | 0.37839 | 0.012085 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031847 | false | 0 | 0.025478 | 0 | 0.140127 | 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 |
1077202699765ff67f73d84dc61ebb612f3931b2 | 350 | py | Python | temboo/core/Library/Utilities/Authentication/OAuth1/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 7 | 2016-03-07T02:07:21.000Z | 2022-01-21T02:22:41.000Z | temboo/core/Library/Utilities/Authentication/OAuth1/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | null | null | null | temboo/core/Library/Utilities/Authentication/OAuth1/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 8 | 2016-06-14T06:01:11.000Z | 2020-04-22T09:21:44.000Z | from temboo.Library.Utilities.Authentication.OAuth1.FinalizeOAuth import FinalizeOAuth, FinalizeOAuthInputSet, FinalizeOAuthResultSet, FinalizeOAuthChoreographyExecution
from temboo.Library.Utilities.Authentication.OAuth1.InitializeOAuth import InitializeOAuth, InitializeOAuthInputSet, InitializeOAuthResultSet, InitializeOAuthChoreographyExecution
| 116.666667 | 179 | 0.914286 | 24 | 350 | 13.333333 | 0.625 | 0.0625 | 0.10625 | 0.1625 | 0.2875 | 0.2875 | 0 | 0 | 0 | 0 | 0 | 0.005952 | 0.04 | 350 | 2 | 180 | 175 | 0.946429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 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 | 8 |
1091cd6932c5283c0ab3c622b185960f5f978079 | 120 | py | Python | imagedt/tools/metrics/__init__.py | Ken2yLiu/ImageDT | 2fb08ed67c94c690ab5845a949d58d8fb3ff4ee5 | [
"Apache-2.0"
] | null | null | null | imagedt/tools/metrics/__init__.py | Ken2yLiu/ImageDT | 2fb08ed67c94c690ab5845a949d58d8fb3ff4ee5 | [
"Apache-2.0"
] | null | null | null | imagedt/tools/metrics/__init__.py | Ken2yLiu/ImageDT | 2fb08ed67c94c690ab5845a949d58d8fb3ff4ee5 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
from __future__ import print_function
from .detect_eval import * | 24 | 38 | 0.833333 | 17 | 120 | 5.235294 | 0.647059 | 0.224719 | 0.359551 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009524 | 0.125 | 120 | 5 | 39 | 24 | 0.838095 | 0.108333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0.333333 | 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 |
52d02f231246db5a41e8acc5d8123e3c9fa72af0 | 4,917 | py | Python | testing/indexer/TestIndexerCases.py | Berdugo1994/Tweeter-Search-Engine | ff80707d64b792288b877814d79e39c5b5ceb7ad | [
"MIT"
] | null | null | null | testing/indexer/TestIndexerCases.py | Berdugo1994/Tweeter-Search-Engine | ff80707d64b792288b877814d79e39c5b5ceb7ad | [
"MIT"
] | null | null | null | testing/indexer/TestIndexerCases.py | Berdugo1994/Tweeter-Search-Engine | ff80707d64b792288b877814d79e39c5b5ceb7ad | [
"MIT"
] | null | null | null | import unittest
import os
from module_glove import GloVe
from document import Document
from indexer import Indexer
from parser_module import Parse
class TestIndexerCases(unittest.TestCase):
glove = GloVe()
root = os.path.dirname(os.path.abspath(__file__))
corpus_path = root + '\\corpus'
output_path = root + '\\results_old'
def test_upper_case(self):
indexer = Indexer(self.glove,self.output_path)
dict = {"Hello": 1, "goodbye": 1}
doc = Document("tweet_id", "tweet_date", "full_text", "url", "retweet_text", "retweet_url", "quote_text",
"quote_url", dict, "doc_length")
indexer.add_new_doc(doc)
expected = {"HELLO", "goodbye"}
actual = set(indexer.inverted_idx.keys())
self.assertEqual(expected, actual)
def test_upper_case2(self):
indexer = Indexer(self.glove,self.output_path)
dict = {"Hello": 1, "goodbye": 1}
doc = Document("tweet_id", "tweet_date", "full_text", "url", "retweet_text", "retweet_url", "quote_text",
"quote_url", dict, "doc_length")
indexer.add_new_doc(doc)
dict = {"hello": 1, "Goodbye": 1}
doc = Document("tweet_id2", "tweet_date", "full_text", "url", "retweet_text", "retweet_url", "quote_text",
"quote_url", dict, "doc_length")
indexer.add_new_doc(doc)
expected = {"hello", "goodbye"}
actual = set(indexer.inverted_idx.keys())
self.assertEqual(expected, actual)
def test_upper_case3(self):
indexer = Indexer(self.glove,self.output_path)
dict = {"heLLo": 1, "Goodbye": 1}
doc = Document("tweet_id", "tweet_date", "full_text", "url", "retweet_text", "retweet_url", "quote_text",
"quote_url", dict, "doc_length")
indexer.add_new_doc(doc)
expected = {"hello", "GOODBYE"}
actual = set(indexer.inverted_idx.keys())
self.assertEqual(expected, actual)
def test_upper_case4(self):
indexer = Indexer(self.glove,self.output_path)
dict = {"heLLo": 1, "Goodbye": 1}
doc = Document("tweet_id", "tweet_date", "full_text", "url", "retweet_text", "retweet_url", "quote_text",
"quote_url", dict, "doc_length")
indexer.add_new_doc(doc)
dict = {"HeLLo": 1, "GOODBYE": 1}
doc = Document("tweet_id2", "tweet_date", "full_text", "url", "retweet_text", "retweet_url", "quote_text",
"quote_url", dict, "doc_length")
indexer.add_new_doc(doc)
expected = {"hello", "GOODBYE"}
actual = set(indexer.inverted_idx.keys())
self.assertEqual(expected, actual)
def test_upper_case_file_saved(self):
indexer = Indexer(self.glove,self.output_path)
dict = {"Hello": 1, "goodbye": 1}
doc = Document("tweet_id", "tweet_date", "full_text", "url", "retweet_text", "retweet_url", "quote_text",
"quote_url", dict, "doc_length")
indexer.add_new_doc(doc)
indexer.save_partial_indexer()
dict = {"hello": 1, "Goodbye": 1}
doc = Document("tweet_id2", "tweet_date", "full_text", "url", "retweet_text", "retweet_url", "quote_text",
"quote_url", dict, "doc_length")
indexer.add_new_doc(doc)
indexer.save_partial_indexer()
indexer._do_upper_case_fixes()
expected = {"hello", "goodbye"}
actual = set(indexer.inverted_idx.keys())
self.assertEqual(expected, actual)
def test_upper_case2_save_file(self):
indexer = Indexer(self.glove,self.output_path)
dict = {"heLLo": 1, "Goodbye": 1}
doc = Document("tweet_id", "tweet_date", "full_text2", "url", "retweet_text", "retweet_url", "quote_text",
"quote_url", dict, "doc_length")
indexer.add_new_doc(doc)
indexer.save_partial_indexer()
dict = {"HeLLo": 1, "GOODBYE": 1}
doc = Document("tweet_id2", "tweet_date", "full_text", "url", "retweet_text", "retweet_url", "quote_text",
"quote_url", dict, "doc_length")
indexer.add_new_doc(doc)
expected = {"hello", "GOODBYE"}
actual = set(indexer.inverted_idx.keys())
self.assertEqual(expected, actual)
def test_upper_case_failing(self):
text = 'cat and jack kids face mask 2 packs 4 Cat and Jack Kids Face Mask'
p = Parse().parse_sentence(text)
indexer = Indexer(GloVe(), 'C:\\Users\\Sarit Hollander\\Desktop\\Study\\Year C\\Semester A\\IR\\Search Engine\\SearchEngine\\results_old')
indexer.add_new_doc(p)
expected = {"HELLO", "goodbye"}
actual = set(indexer.inverted_idx.keys())
self.assertEqual(expected, actual)
| 39.97561 | 147 | 0.592638 | 580 | 4,917 | 4.756897 | 0.146552 | 0.03987 | 0.05183 | 0.063791 | 0.824574 | 0.824574 | 0.808626 | 0.808626 | 0.808626 | 0.808626 | 0 | 0.008575 | 0.264796 | 4,917 | 122 | 148 | 40.303279 | 0.754633 | 0 | 0 | 0.741935 | 0 | 0.010753 | 0.255319 | 0.01335 | 0 | 0 | 0 | 0 | 0.075269 | 1 | 0.075269 | false | 0 | 0.064516 | 0 | 0.193548 | 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 |
52f282c22e4a99b6a1727fbcd54609463bcf17ed | 62 | py | Python | peasabot/__init__.py | gimait/DaDSbot | 6ee6fea2339faa9a9a2fce29c3b00def378d88d3 | [
"MIT"
] | null | null | null | peasabot/__init__.py | gimait/DaDSbot | 6ee6fea2339faa9a9a2fce29c3b00def378d88d3 | [
"MIT"
] | null | null | null | peasabot/__init__.py | gimait/DaDSbot | 6ee6fea2339faa9a9a2fce29c3b00def378d88d3 | [
"MIT"
] | null | null | null | from .peasabot import Agent
def agent():
return Agent()
| 10.333333 | 27 | 0.677419 | 8 | 62 | 5.25 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.225806 | 62 | 5 | 28 | 12.4 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 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 |
5e2562d357a7715aed70c122459d21789a1e7ed5 | 38,201 | py | Python | modules.py | ekwebb/fNRI | 5fad3a498d7660bfc512c276d2b09440c1de56f2 | [
"MIT"
] | 28 | 2019-06-05T07:33:12.000Z | 2022-01-04T10:23:30.000Z | modules.py | etarakci-hvl/fNRI | 5fad3a498d7660bfc512c276d2b09440c1de56f2 | [
"MIT"
] | null | null | null | modules.py | etarakci-hvl/fNRI | 5fad3a498d7660bfc512c276d2b09440c1de56f2 | [
"MIT"
] | 8 | 2019-11-20T14:41:37.000Z | 2021-10-31T21:22:48.000Z | """
This code is based on https://github.com/ethanfetaya/NRI
(MIT licence)
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
from torch.autograd import Variable
from utils import my_softmax, get_offdiag_indices, gumbel_softmax
_EPS = 1e-10
class MLP(nn.Module):
"""Two-layer fully-connected ELU net with batch norm."""
def __init__(self, n_in, n_hid, n_out, do_prob=0.):
super(MLP, self).__init__()
self.fc1 = nn.Linear(n_in, n_hid)
self.fc2 = nn.Linear(n_hid, n_out)
self.bn = nn.BatchNorm1d(n_out)
self.dropout_prob = do_prob
self.init_weights()
def init_weights(self):
for m in self.modules():
if isinstance(m, nn.Linear):
nn.init.xavier_normal_(m.weight.data)
m.bias.data.fill_(0.1)
elif isinstance(m, nn.BatchNorm1d):
m.weight.data.fill_(1)
m.bias.data.zero_()
def batch_norm(self, inputs):
x = inputs.view(inputs.size(0) * inputs.size(1), -1)
x = self.bn(x)
return x.view(inputs.size(0), inputs.size(1), -1)
def forward(self, inputs):
# Input shape: [num_sims, num_things, num_features]
x = F.elu(self.fc1(inputs))
x = F.dropout(x, self.dropout_prob, training=self.training)
x = F.elu(self.fc2(x))
return self.batch_norm(x)
class CNN(nn.Module):
def __init__(self, n_in, n_hid, n_out, do_prob=0.):
super(CNN, self).__init__()
self.pool = nn.MaxPool1d(kernel_size=2, stride=None, padding=0,
dilation=1, return_indices=False,
ceil_mode=False)
self.conv1 = nn.Conv1d(n_in, n_hid, kernel_size=5, stride=1, padding=0)
self.bn1 = nn.BatchNorm1d(n_hid)
self.conv2 = nn.Conv1d(n_hid, n_hid, kernel_size=5, stride=1, padding=0)
self.bn2 = nn.BatchNorm1d(n_hid)
self.conv_predict = nn.Conv1d(n_hid, n_out, kernel_size=1)
self.conv_attention = nn.Conv1d(n_hid, 1, kernel_size=1)
self.dropout_prob = do_prob
self.init_weights()
def init_weights(self):
for m in self.modules():
if isinstance(m, nn.Conv1d):
n = m.kernel_size[0] * m.out_channels
m.weight.data.normal_(0, math.sqrt(2. / n))
m.bias.data.fill_(0.1)
elif isinstance(m, nn.BatchNorm1d):
m.weight.data.fill_(1)
m.bias.data.zero_()
def forward(self, inputs):
# Input shape: [num_sims * num_edges, num_dims, num_timesteps]
x = F.relu(self.conv1(inputs))
x = self.bn1(x)
x = F.dropout(x, self.dropout_prob, training=self.training)
x = self.pool(x)
x = F.relu(self.conv2(x))
x = self.bn2(x)
pred = self.conv_predict(x)
attention = my_softmax(self.conv_attention(x), axis=2)
edge_prob = (pred * attention).mean(dim=2)
return edge_prob
class MLPEncoder(nn.Module):
def __init__(self, n_in, n_hid, n_out, do_prob=0., factor=True):
super(MLPEncoder, self).__init__()
self.factor = factor
# n_hid = num edge types
self.mlp1 = MLP(n_in, n_hid, n_hid, do_prob)
self.mlp2 = MLP(n_hid * 2, n_hid, n_hid, do_prob)
self.mlp3 = MLP(n_hid, n_hid, n_hid, do_prob)
if self.factor:
self.mlp4 = MLP(n_hid * 3, n_hid, n_hid, do_prob)
print("Using factor graph MLP encoder.")
else:
self.mlp4 = MLP(n_hid * 2, n_hid, n_hid, do_prob)
print("Using MLP encoder.")
self.fc_out = nn.Linear(n_hid, n_out)
self.init_weights()
def init_weights(self):
for m in self.modules():
if isinstance(m, nn.Linear):
nn.init.xavier_normal_(m.weight.data)
m.bias.data.fill_(0.1)
def edge2node(self, x, rel_rec, rel_send):
# NOTE: Assumes that we have the same graph across all samples.
incoming = torch.matmul(rel_rec.t(), x)
return incoming / incoming.size(1)
def node2edge(self, x, rel_rec, rel_send):
# NOTE: Assumes that we have the same graph across all samples.
receivers = torch.matmul(rel_rec, x)
senders = torch.matmul(rel_send, x)
edges = torch.cat([receivers, senders], dim=2)
return edges
def forward(self, inputs, rel_rec, rel_send):
# Input shape: [num_sims, num_atoms, num_timesteps, num_dims]
x = inputs.view(inputs.size(0), inputs.size(1), -1)
# New shape: [num_sims, num_atoms, num_timesteps*num_dims]
x = self.mlp1(x) # 2-layer ELU net per node
x = self.node2edge(x, rel_rec, rel_send)
x = self.mlp2(x)
x_skip = x
if self.factor:
x = self.edge2node(x, rel_rec, rel_send)
x = self.mlp3(x)
x = self.node2edge(x, rel_rec, rel_send)
x = torch.cat((x, x_skip), dim=2) # Skip connection
x = self.mlp4(x)
else:
x = self.mlp3(x)
x = torch.cat((x, x_skip), dim=2) # Skip connection
x = self.mlp4(x)
return self.fc_out(x)
class MLPEncoder_multi(nn.Module):
def __init__(self, n_in, n_hid, edge_types_list, do_prob=0., split_point=1,
init_type='xavier_normal', bias_init=0.0):
super(MLPEncoder_multi, self).__init__()
self.edge_types_list = edge_types_list
self.mlp1 = MLP(n_in, n_hid, n_hid, do_prob)
#print(self.mlp1.fc1.weight[0][0:5])
self.mlp2 = MLP(n_hid * 2, n_hid, n_hid, do_prob)
self.init_type = init_type
if self.init_type not in [ 'xavier_normal', 'orthogonal', 'sparse' ]:
raise ValueError('This initialization type has not been coded')
#print('Using '+self.init_type+' for encoder weight initialization')
self.bias_init = bias_init
self.split_point = split_point
if split_point == 0:
self.mlp3 = MLP(n_hid, n_hid, n_hid, do_prob)
self.mlp4 = MLP(n_hid * 3, n_hid, n_hid, do_prob)
self.fc_out = nn.ModuleList([nn.Linear(n_hid, sum(edge_types_list))])
elif split_point == 1:
self.mlp3 = MLP(n_hid, n_hid, n_hid, do_prob)
self.mlp4 = nn.ModuleList([MLP(n_hid * 3, n_hid, n_hid, do_prob) for _ in edge_types_list])
self.fc_out = nn.ModuleList([nn.Linear(n_hid, K) for K in edge_types_list])
elif split_point == 2:
self.mlp3 = nn.ModuleList([MLP(n_hid, n_hid, n_hid, do_prob) for _ in edge_types_list])
self.mlp4 = nn.ModuleList([MLP(n_hid * 3, n_hid, n_hid, do_prob) for _ in edge_types_list])
self.fc_out = nn.ModuleList([nn.Linear(n_hid, K) for K in edge_types_list])
else:
raise ValueError('Split point is not valid, must be 0, 1, or 2')
self.init_weights()
def init_weights(self):
for m in self.modules():
if isinstance(m, nn.Linear):
if self.init_type == 'orthogonal':
nn.init.orthogonal_(m.weight.data)
elif self.init_type == 'xavier_normal':
nn.init.xavier_normal_(m.weight.data)
elif self.init_type == 'sparse':
nn.init.sparse_(m.weight.data, sparsity=0.1)
if not math.isclose(self.bias_init, 0, rel_tol=1e-9):
m.bias.data.fill_(self.bias_init)
def edge2node(self, x, rel_rec, rel_send):
# NOTE: Assumes that we have the same graph across all samples.
incoming = torch.matmul(rel_rec.t(), x)
return incoming / incoming.size(1)
def node2edge(self, x, rel_rec, rel_send):
# NOTE: Assumes that we have the same graph across all samples.
receivers = torch.matmul(rel_rec, x)
senders = torch.matmul(rel_send, x)
edges = torch.cat([receivers, senders], dim=2)
return edges
def forward(self, inputs, rel_rec, rel_send):
# Input shape: [num_sims, num_atoms, num_timesteps, num_dims]
x = inputs.view(inputs.size(0), inputs.size(1), -1)
# New shape: [num_sims, num_atoms, num_timesteps*num_dims]
x = self.mlp1(x) # 2-layer ELU net per node
x = self.node2edge(x, rel_rec, rel_send)
x = self.mlp2(x)
x_skip = x
x = self.edge2node(x, rel_rec, rel_send)
if self.split_point == 0:
x = self.mlp3(x)
x = self.node2edge(x, rel_rec, rel_send)
x = torch.cat((x, x_skip), dim=2) # Skip connection
x = self.mlp4(x)
return self.fc_out[0](x)
elif self.split_point == 1:
x = self.mlp3(x)
x = self.node2edge(x, rel_rec, rel_send)
x = torch.cat((x, x_skip), dim=2) # Skip connection
y_list = []
for i in range(len(self.edge_types_list)):
y = self.mlp4[i](x)
y_list.append( self.fc_out[i](y) )
return torch.cat(y_list,dim=-1)
elif self.split_point == 2:
y_list = []
for i in range(len(self.edge_types_list)):
y = self.mlp3[i](x)
y = self.node2edge(y, rel_rec, rel_send)
y = torch.cat((y, x_skip), dim=2) # Skip connection
y = self.mlp4[i](y)
y_list.append( self.fc_out[i](y) )
return torch.cat(y_list,dim=-1)
class MLPEncoder_sigmoid(nn.Module):
def __init__(self, n_in, n_hid, num_factors, do_prob=0., split_point=1):
super(MLPEncoder_sigmoid, self).__init__()
self.num_factors = num_factors
self.mlp1 = MLP(n_in, n_hid, n_hid, do_prob)
self.mlp2 = MLP(n_hid * 2, n_hid, n_hid, do_prob)
self.mlp3 = MLP(n_hid, n_hid, n_hid, do_prob)
self.split_point = split_point
if split_point == 0:
self.mlp4 = MLP(n_hid * 3, n_hid, n_hid, do_prob)
self.fc_out = nn.Linear(n_hid, num_factors)
elif split_point == 1:
self.mlp4 = nn.ModuleList([MLP(n_hid * 3, n_hid, n_hid, do_prob) for _ in range(num_factors)])
self.fc_out = nn.ModuleList([nn.Linear(n_hid, 1) for i in range(num_factors)])
elif split_point == 2:
self.mlp3 = nn.ModuleList([MLP(n_hid, n_hid, n_hid, do_prob) for _ in range(num_factors)])
self.mlp4 = nn.ModuleList([MLP(n_hid * 3, n_hid, n_hid, do_prob) for _ in range(num_factors)])
self.fc_out = nn.ModuleList([nn.Linear(n_hid, 1) for i in range(num_factors)])
else:
raise ValueError('Split point is not valid, must be 0, 1, or 2')
self.init_weights()
def init_weights(self):
for m in self.modules():
if isinstance(m, nn.Linear):
nn.init.xavier_normal_(m.weight.data)
m.bias.data.fill_(0.1)
def edge2node(self, x, rel_rec, rel_send):
# NOTE: Assumes that we have the same graph across all samples.
incoming = torch.matmul(rel_rec.t(), x)
return incoming / incoming.size(1)
def node2edge(self, x, rel_rec, rel_send):
# NOTE: Assumes that we have the same graph across all samples.
receivers = torch.matmul(rel_rec, x)
senders = torch.matmul(rel_send, x)
edges = torch.cat([receivers, senders], dim=2)
return edges
def forward(self, inputs, rel_rec, rel_send):
# Input shape: [num_sims, num_atoms, num_timesteps, num_dims]
x = inputs.view(inputs.size(0), inputs.size(1), -1)
# New shape: [num_sims, num_atoms, num_timesteps*num_dims]
x = self.mlp1(x) # 2-layer ELU net per node
x = self.node2edge(x, rel_rec, rel_send)
x = self.mlp2(x)
x_skip = x
x = self.edge2node(x, rel_rec, rel_send)
if self.split_point == 0:
x = self.mlp3(x)
x = self.node2edge(x, rel_rec, rel_send)
x = torch.cat((x, x_skip), dim=2) # Skip connection
x = self.mlp4(x)
return self.fc_out(x)
elif self.split_point == 1:
x = self.mlp3(x)
x = self.node2edge(x, rel_rec, rel_send)
x = torch.cat((x, x_skip), dim=2) # Skip connection
y_list = []
for i in range(self.num_factors):
y = self.mlp4[i](x)
y_list.append( self.fc_out[i](y) )
return torch.cat(y_list,dim=-1)
elif self.split_point == 2:
y_list = []
for i in range(self.num_factors):
y = self.mlp3[i](x)
y = self.node2edge(y, rel_rec, rel_send)
y = torch.cat((y, x_skip), dim=2) # Skip connection
y = self.mlp4[i](y)
y_list.append( self.fc_out[i](y) )
return torch.cat(y_list,dim=-1)
class RandomEncoder(nn.Module):
"""MLP decoder module."""
def __init__(self, edge_types_list, cuda_on):
super(RandomEncoder, self).__init__()
self.edge_types_list = edge_types_list
self.cuda_on = cuda_on
print('Using a random encoder.')
def forward(self, inputs, rel_rec, rel_send):
n = inputs.shape[1]
output = Variable(torch.randn(inputs.shape[0],n**2-n,sum(self.edge_types_list)))
if self.cuda_on:
output = output.cuda()
return output
class OnesEncoder(nn.Module):
"""MLP decoder module."""
def __init__(self, edge_types_list, cuda_on):
super(OnesEncoder, self).__init__()
self.edge_types_list = edge_types_list
self.cuda_on = cuda_on
print('Using a "ones" encoder.')
def forward(self, inputs, rel_rec, rel_send):
n = inputs.shape[1]
output = Variable(torch.ones(inputs.shape[0],n**2-n,sum(self.edge_types_list)))
if self.cuda_on:
output = output.cuda()
return output
class CNNEncoder(nn.Module):
def __init__(self, n_in, n_hid, n_out, do_prob=0., factor=True):
super(CNNEncoder, self).__init__()
self.dropout_prob = do_prob
self.factor = factor
self.cnn = CNN(n_in * 2, n_hid, n_hid, do_prob)
self.mlp1 = MLP(n_hid, n_hid, n_hid, do_prob)
self.mlp2 = MLP(n_hid, n_hid, n_hid, do_prob)
self.mlp3 = MLP(n_hid * 3, n_hid, n_hid, do_prob)
self.fc_out = nn.Linear(n_hid, n_out)
if self.factor:
print("Using factor graph CNN encoder.")
else:
print("Using CNN encoder.")
self.init_weights()
def init_weights(self):
for m in self.modules():
if isinstance(m, nn.Linear):
nn.init.xavier_normal(m.weight.data)
m.bias.data.fill_(0.1)
def node2edge_temporal(self, inputs, rel_rec, rel_send):
# NOTE: Assumes that we have the same graph across all samples.
x = inputs.view(inputs.size(0), inputs.size(1), -1)
receivers = torch.matmul(rel_rec, x)
receivers = receivers.view(inputs.size(0) * receivers.size(1),
inputs.size(2), inputs.size(3))
receivers = receivers.transpose(2, 1)
senders = torch.matmul(rel_send, x)
senders = senders.view(inputs.size(0) * senders.size(1),
inputs.size(2),
inputs.size(3))
senders = senders.transpose(2, 1)
# receivers and senders have shape:
# [num_sims * num_edges, num_dims, num_timesteps]
edges = torch.cat([receivers, senders], dim=1)
return edges
def edge2node(self, x, rel_rec, rel_send):
# NOTE: Assumes that we have the same graph across all samples.
incoming = torch.matmul(rel_rec.t(), x)
return incoming / incoming.size(1)
def node2edge(self, x, rel_rec, rel_send):
# NOTE: Assumes that we have the same graph across all samples.
receivers = torch.matmul(rel_rec, x)
senders = torch.matmul(rel_send, x)
edges = torch.cat([receivers, senders], dim=2)
return edges
def forward(self, inputs, rel_rec, rel_send):
# Input has shape: [num_sims, num_atoms, num_timesteps, num_dims]
edges = self.node2edge_temporal(inputs, rel_rec, rel_send)
x = self.cnn(edges)
x = x.view(inputs.size(0), (inputs.size(1) - 1) * inputs.size(1), -1)
x = self.mlp1(x)
x_skip = x
if self.factor:
x = self.edge2node(x, rel_rec, rel_send)
x = self.mlp2(x)
x = self.node2edge(x, rel_rec, rel_send)
x = torch.cat((x, x_skip), dim=2) # Skip connection
x = self.mlp3(x)
return self.fc_out(x)
class CNNEncoder_multi(nn.Module):
def __init__(self, n_in, n_hid, edge_types_list, do_prob=0., split_point=0, init_type='xavier_normal'):
super(CNNEncoder_multi, self).__init__()
self.dropout_prob = do_prob
self.edge_types_list = edge_types_list
self.init_type = init_type
if self.init_type not in [ 'xavier_normal', 'orthogonal' ]:
raise ValueError('This initialization type has not been coded')
print('Using '+self.init_type+' for encoder weight initialization')
self.cnn = CNN(n_in * 2, n_hid, n_hid, do_prob)
self.mlp1 = MLP(n_hid, n_hid, n_hid, do_prob)
self.split_point = split_point
if split_point == 0:
self.mlp2 = MLP(n_hid, n_hid, n_hid, do_prob)
self.mlp3 = MLP(n_hid * 3, n_hid, n_hid, do_prob)
self.fc_out = nn.Linear(n_hid, sum(edge_types_list))
elif split_point == 1:
self.mlp2 = MLP(n_hid, n_hid, n_hid, do_prob)
self.mlp3 = nn.ModuleList([MLP(n_hid * 3, n_hid, n_hid, do_prob) for _ in edge_types_list])
self.fc_out = nn.ModuleList([nn.Linear(n_hid, K) for K in edge_types_list])
elif split_point == 2:
self.mlp2 = nn.ModuleList([MLP(n_hid, n_hid, n_hid, do_prob) for _ in edge_types_list])
self.mlp3 = nn.ModuleList([MLP(n_hid * 3, n_hid, n_hid, do_prob) for _ in edge_types_list])
self.fc_out = nn.ModuleList([nn.Linear(n_hid, K) for K in edge_types_list])
else:
raise ValueError('Split point is not valid, must be 0, 1, or 2')
self.init_weights()
def init_weights(self):
for m in self.modules():
if isinstance(m, nn.Linear):
if self.init_type == 'orthogonal':
nn.init.orthogonal_(m.weight.data)
elif self.init_type == 'xavier_normal':
nn.init.xavier_normal_(m.weight.data)
m.bias.data.fill_(0.1)
def node2edge_temporal(self, inputs, rel_rec, rel_send):
# NOTE: Assumes that we have the same graph across all samples.
x = inputs.view(inputs.size(0), inputs.size(1), -1)
receivers = torch.matmul(rel_rec, x)
receivers = receivers.view(inputs.size(0) * receivers.size(1),
inputs.size(2), inputs.size(3))
receivers = receivers.transpose(2, 1)
senders = torch.matmul(rel_send, x)
senders = senders.view(inputs.size(0) * senders.size(1),
inputs.size(2),
inputs.size(3))
senders = senders.transpose(2, 1)
# receivers and senders have shape:
# [num_sims * num_edges, num_dims, num_timesteps]
edges = torch.cat([receivers, senders], dim=1)
return edges
def edge2node(self, x, rel_rec, rel_send):
# NOTE: Assumes that we have the same graph across all samples.
incoming = torch.matmul(rel_rec.t(), x)
return incoming / incoming.size(1)
def node2edge(self, x, rel_rec, rel_send):
# NOTE: Assumes that we have the same graph across all samples.
receivers = torch.matmul(rel_rec, x)
senders = torch.matmul(rel_send, x)
edges = torch.cat([receivers, senders], dim=2)
return edges
def forward(self, inputs, rel_rec, rel_send):
# Input has shape: [num_sims, num_atoms, num_timesteps, num_dims]
edges = self.node2edge_temporal(inputs, rel_rec, rel_send)
x = self.cnn(edges)
x = x.view(inputs.size(0), (inputs.size(1) - 1) * inputs.size(1), -1)
x = self.mlp1(x)
x_skip = x
x = self.edge2node(x, rel_rec, rel_send)
if self.split_point == 0:
x = self.mlp2(x)
x = self.node2edge(x, rel_rec, rel_send)
x = torch.cat((x, x_skip), dim=2) # Skip connection
x = self.mlp3(x)
return self.fc_out(x)
elif self.split_point == 1:
x = self.mlp2(x)
x = self.node2edge(x, rel_rec, rel_send)
x = torch.cat((x, x_skip), dim=2) # Skip connection
y_list = []
for i in range(len(self.edge_types_list)):
y = self.mlp3[i](x)
y_list.append( self.fc_out[i](y) )
return torch.cat(y_list,dim=-1)
elif self.split_point == 2:
y_list = []
for i in range(len(self.edge_types_list)):
y = self.mlp2[i](x)
y = self.node2edge(y, rel_rec, rel_send)
y = torch.cat((y, x_skip), dim=2) # Skip connection
y = self.mlp3[i](y)
y_list.append( self.fc_out[i](y) )
return torch.cat(y_list,dim=-1)
class MLPDecoder(nn.Module):
"""MLP decoder module."""
def __init__(self, n_in_node, edge_types, msg_hid, msg_out, n_hid,
do_prob=0., skip_first=False):
super(MLPDecoder, self).__init__()
self.msg_fc1 = nn.ModuleList(
[nn.Linear(2 * n_in_node, msg_hid) for _ in range(edge_types)])
self.msg_fc2 = nn.ModuleList(
[nn.Linear(msg_hid, msg_out) for _ in range(edge_types)])
self.msg_out_shape = msg_out
self.skip_first_edge_type = skip_first
self.out_fc1 = nn.Linear(n_in_node + msg_out, n_hid)
self.out_fc2 = nn.Linear(n_hid, n_hid)
self.out_fc3 = nn.Linear(n_hid, n_in_node)
print('Using learned interaction net decoder.')
self.dropout_prob = do_prob
def single_step_forward(self, single_timestep_inputs, rel_rec, rel_send,
single_timestep_rel_type):
# single_timestep_inputs has shape
# [batch_size, num_timesteps, num_atoms, num_dims]
# single_timestep_rel_type has shape:
# [batch_size, num_timesteps, num_atoms*(num_atoms-1), num_edge_types]
# Node2edge
receivers = torch.matmul(rel_rec, single_timestep_inputs)
senders = torch.matmul(rel_send, single_timestep_inputs)
pre_msg = torch.cat([receivers, senders], dim=-1)
all_msgs = Variable(torch.zeros(pre_msg.size(0), pre_msg.size(1),
pre_msg.size(2), self.msg_out_shape))
if single_timestep_inputs.is_cuda:
all_msgs = all_msgs.cuda()
if self.skip_first_edge_type:
start_idx = 1
else:
start_idx = 0
# Run separate MLP for every edge type
# NOTE: To exlude one edge type, simply offset range by 1
for i in range(start_idx, len(self.msg_fc2)):
msg = F.relu(self.msg_fc1[i](pre_msg))
msg = F.dropout(msg, p=self.dropout_prob)
msg = F.relu(self.msg_fc2[i](msg))
msg = msg * single_timestep_rel_type[:, :, :, i:i + 1]
all_msgs += msg
# Aggregate all msgs to receiver
agg_msgs = all_msgs.transpose(-2, -1).matmul(rel_rec).transpose(-2, -1)
agg_msgs = agg_msgs.contiguous()
# Skip connection
aug_inputs = torch.cat([single_timestep_inputs, agg_msgs], dim=-1)
# Output MLP
pred = F.dropout(F.relu(self.out_fc1(aug_inputs)), p=self.dropout_prob)
pred = F.dropout(F.relu(self.out_fc2(pred)), p=self.dropout_prob)
pred = self.out_fc3(pred)
# Predict position/velocity difference
return single_timestep_inputs + pred
def forward(self, inputs, rel_type, rel_rec, rel_send, pred_steps=1):
# NOTE: Assumes that we have the same graph across all samples.
inputs = inputs.transpose(1, 2).contiguous()
sizes = [rel_type.size(0), inputs.size(1), rel_type.size(1),
rel_type.size(2)]
rel_type = rel_type.unsqueeze(1).expand(sizes)
time_steps = inputs.size(1)
assert (pred_steps <= time_steps)
preds = []
# Only take n-th timesteps as starting points (n: pred_steps)
last_pred = inputs[:, 0::pred_steps, :, :]
curr_rel_type = rel_type[:, 0::pred_steps, :, :]
# NOTE: Assumes rel_type is constant (i.e. same across all time steps).
# Run n prediction steps
for step in range(0, pred_steps):
last_pred = self.single_step_forward(last_pred, rel_rec, rel_send,
curr_rel_type)
preds.append(last_pred)
sizes = [preds[0].size(0), preds[0].size(1) * pred_steps,
preds[0].size(2), preds[0].size(3)]
output = Variable(torch.zeros(sizes))
if inputs.is_cuda:
output = output.cuda()
# Re-assemble correct timeline
for i in range(len(preds)):
output[:, i::pred_steps, :, :] = preds[i]
pred_all = output[:, :(inputs.size(1) - 1), :, :]
return pred_all.transpose(1, 2).contiguous()
class MLPDecoder_multi(nn.Module):
"""MLP decoder module."""
def __init__(self, n_in_node, edge_types, edge_types_list, msg_hid, msg_out, n_hid,
do_prob=0., skip_first=False, init_type='default'):
super(MLPDecoder_multi, self).__init__()
self.msg_fc1 = nn.ModuleList(
[nn.Linear(2 * n_in_node, msg_hid) for _ in range(edge_types)])
self.msg_fc2 = nn.ModuleList(
[nn.Linear(msg_hid, msg_out) for _ in range(edge_types)])
self.msg_out_shape = msg_out
self.skip_first = skip_first
self.edge_types = edge_types
self.edge_types_list = edge_types_list
self.out_fc1 = nn.Linear(n_in_node + msg_out, n_hid)
self.out_fc2 = nn.Linear(n_hid, n_hid)
self.out_fc3 = nn.Linear(n_hid, n_in_node)
print('Using learned interaction net decoder.')
self.dropout_prob = do_prob
self.init_type = init_type
if self.init_type not in [ 'xavier_normal', 'orthogonal', 'default' ]:
raise ValueError('This initialization type has not been coded')
#print('Using '+self.init_type+' for decoder weight initialization')
if self.init_type != 'default':
self.init_weights()
def init_weights(self):
for m in self.modules():
if isinstance(m, nn.Linear):
if self.init_type == 'orthogonal':
nn.init.orthogonal_(m.weight.data,gain=0.000001)
elif self.init_type == 'xavier_normal':
nn.init.xavier_normal_(m.weight.data,gain=0.000001)
#m.bias.data.fill_(0.1)
def single_step_forward(self, single_timestep_inputs, rel_rec, rel_send,
single_timestep_rel_type):
# single_timestep_inputs has shape
# [batch_size, num_timesteps, num_atoms, num_dims]
# single_timestep_rel_type has shape:
# [batch_size, num_timesteps, num_atoms*(num_atoms-1), num_edge_types]
# Node2edge
receivers = torch.matmul(rel_rec, single_timestep_inputs)
senders = torch.matmul(rel_send, single_timestep_inputs)
pre_msg = torch.cat([receivers, senders], dim=-1)
all_msgs = Variable(torch.zeros(pre_msg.size(0), pre_msg.size(1),
pre_msg.size(2), self.msg_out_shape))
if single_timestep_inputs.is_cuda:
all_msgs = all_msgs.cuda()
# non_null_idxs = list of indexs of edge types which as non null (i.e. edges over which messages can be passed)
non_null_idxs = list(range(self.edge_types))
if self.skip_first:
# if skip_first is True, the first edge type in each factor block is null
edge = 0
for k in self.edge_types_list:
non_null_idxs.remove(edge)
edge += k
# Run separate MLP for every edge type
# NOTE: To exlude one edge type, simply offset range by 1
for i in non_null_idxs:
msg = F.relu(self.msg_fc1[i](pre_msg))
msg = F.dropout(msg, p=self.dropout_prob)
msg = F.relu(self.msg_fc2[i](msg))
msg = msg * single_timestep_rel_type[:, :, :, i:i + 1]
all_msgs += msg
# Aggregate all msgs to receiver
agg_msgs = all_msgs.transpose(-2, -1).matmul(rel_rec).transpose(-2, -1)
agg_msgs = agg_msgs.contiguous()
# Skip connection
aug_inputs = torch.cat([single_timestep_inputs, agg_msgs], dim=-1)
# Output MLP
pred = F.dropout(F.relu(self.out_fc1(aug_inputs)), p=self.dropout_prob)
pred = F.dropout(F.relu(self.out_fc2(pred)), p=self.dropout_prob)
pred = self.out_fc3(pred)
# Predict position/velocity difference
return single_timestep_inputs + pred
def forward(self, inputs, rel_type, rel_rec, rel_send, pred_steps=1):
# NOTE: Assumes that we have the same graph across all samples.
inputs = inputs.transpose(1, 2).contiguous()
sizes = [rel_type.size(0), inputs.size(1), rel_type.size(1),
rel_type.size(2)]
rel_type = rel_type.unsqueeze(1).expand(sizes)
time_steps = inputs.size(1)
assert (pred_steps <= time_steps)
preds = []
# Only take n-th timesteps as starting points (n: pred_steps)
last_pred = inputs[:, 0::pred_steps, :, :]
curr_rel_type = rel_type[:, 0::pred_steps, :, :]
# NOTE: Assumes rel_type is constant (i.e. same across all time steps).
# Run n prediction steps
for step in range(0, pred_steps):
last_pred = self.single_step_forward(last_pred, rel_rec, rel_send,
curr_rel_type)
preds.append(last_pred)
sizes = [preds[0].size(0), preds[0].size(1) * pred_steps,
preds[0].size(2), preds[0].size(3)]
output = Variable(torch.zeros(sizes))
if inputs.is_cuda:
output = output.cuda()
# Re-assemble correct timeline
for i in range(len(preds)):
output[:, i::pred_steps, :, :] = preds[i]
pred_all = output[:, :(inputs.size(1) - 1), :, :]
return pred_all.transpose(1, 2).contiguous()
class MLPDecoder_sigmoid(nn.Module):
"""MLP decoder module."""
def __init__(self, n_in_node, num_factors, msg_hid, msg_out, n_hid,
do_prob=0., skip_first=False, init_type='default'):
super(MLPDecoder_sigmoid, self).__init__()
self.msg_fc1 = nn.ModuleList(
[nn.Linear(2 * n_in_node, msg_hid) for _ in range(num_factors)])
self.msg_fc2 = nn.ModuleList(
[nn.Linear(msg_hid, msg_out) for _ in range(num_factors)])
self.msg_out_shape = msg_out
self.num_factors = num_factors
self.out_fc1 = nn.Linear(n_in_node + msg_out, n_hid)
self.out_fc2 = nn.Linear(n_hid, n_hid)
self.out_fc3 = nn.Linear(n_hid, n_in_node)
print('Using learned interaction net decoder.')
self.dropout_prob = do_prob
self.init_type = init_type
if self.init_type not in [ 'xavier_normal', 'orthogonal', 'default' ]:
raise ValueError('This initialization type has not been coded')
#print('Using '+self.init_type+' for decoder weight initialization')
if self.init_type != 'default':
self.init_weights()
def init_weights(self):
for m in self.modules():
if isinstance(m, nn.Linear):
if self.init_type == 'orthogonal':
nn.init.orthogonal_(m.weight.data,gain=0.000001)
elif self.init_type == 'xavier_normal':
nn.init.xavier_normal_(m.weight.data,gain=0.000001)
#m.bias.data.fill_(0.1)
def single_step_forward(self, single_timestep_inputs, rel_rec, rel_send,
single_timestep_rel_type):
# single_timestep_inputs has shape
# [batch_size, num_timesteps, num_atoms, num_dims]
# single_timestep_rel_type has shape:
# [batch_size, num_timesteps, num_atoms*(num_atoms-1), num_edge_types]
# Node2edge
receivers = torch.matmul(rel_rec, single_timestep_inputs)
senders = torch.matmul(rel_send, single_timestep_inputs)
pre_msg = torch.cat([receivers, senders], dim=-1)
all_msgs = Variable(torch.zeros(pre_msg.size(0), pre_msg.size(1),
pre_msg.size(2), self.msg_out_shape))
if single_timestep_inputs.is_cuda:
all_msgs = all_msgs.cuda()
# Run separate MLP for every edge type
# NOTE: To exlude one edge type, simply offset range by 1
for i in range(self.num_factors):
msg = F.relu(self.msg_fc1[i](pre_msg))
msg = F.dropout(msg, p=self.dropout_prob)
msg = F.relu(self.msg_fc2[i](msg))
msg = msg * single_timestep_rel_type[:, :, :, i:i + 1]
all_msgs += msg
# Aggregate all msgs to receiver
agg_msgs = all_msgs.transpose(-2, -1).matmul(rel_rec).transpose(-2, -1)
agg_msgs = agg_msgs.contiguous()
# Skip connection
aug_inputs = torch.cat([single_timestep_inputs, agg_msgs], dim=-1)
# Output MLP
pred = F.dropout(F.relu(self.out_fc1(aug_inputs)), p=self.dropout_prob)
pred = F.dropout(F.relu(self.out_fc2(pred)), p=self.dropout_prob)
pred = self.out_fc3(pred)
# Predict position/velocity difference
return single_timestep_inputs + pred
def forward(self, inputs, rel_type, rel_rec, rel_send, pred_steps=1):
# NOTE: Assumes that we have the same graph across all samples.
inputs = inputs.transpose(1, 2).contiguous()
sizes = [rel_type.size(0), inputs.size(1), rel_type.size(1),
rel_type.size(2)]
rel_type = rel_type.unsqueeze(1).expand(sizes)
time_steps = inputs.size(1)
assert (pred_steps <= time_steps)
preds = []
# Only take n-th timesteps as starting points (n: pred_steps)
last_pred = inputs[:, 0::pred_steps, :, :]
curr_rel_type = rel_type[:, 0::pred_steps, :, :]
# NOTE: Assumes rel_type is constant (i.e. same across all time steps).
# Run n prediction steps
for step in range(0, pred_steps):
last_pred = self.single_step_forward(last_pred, rel_rec, rel_send,
curr_rel_type)
preds.append(last_pred)
sizes = [preds[0].size(0), preds[0].size(1) * pred_steps,
preds[0].size(2), preds[0].size(3)]
output = Variable(torch.zeros(sizes))
if inputs.is_cuda:
output = output.cuda()
# Re-assemble correct timeline
for i in range(len(preds)):
output[:, i::pred_steps, :, :] = preds[i]
pred_all = output[:, :(inputs.size(1) - 1), :, :]
return pred_all.transpose(1, 2).contiguous()
class StationaryDecoder(nn.Module):
"""MLP decoder module."""
def __init__(self):
super(StationaryDecoder, self).__init__()
print('Using stationary decoder.')
def forward(self, inputs, rel_type, rel_rec, rel_send, pred_steps=1):
inputs = inputs.transpose(1, 2).contiguous()
time_steps = inputs.size(1)
assert (pred_steps <= time_steps)
preds = []
# Only take n-th timesteps as starting points (n: pred_steps)
last_pred = inputs[:, 0::pred_steps, :, :]
# Run n prediction steps
for step in range(0, pred_steps):
preds.append(last_pred)
sizes = [preds[0].size(0), preds[0].size(1) * pred_steps,
preds[0].size(2), preds[0].size(3)]
output = Variable(torch.zeros(sizes))
if inputs.is_cuda:
output = output.cuda()
# Re-assemble correct timeline
for i in range(len(preds)):
output[:, i::pred_steps, :, :] = preds[i]
pred_all = output[:, :(inputs.size(1) - 1), :, :]
return pred_all.transpose(1, 2).contiguous()
class VelocityStepDecoder(nn.Module):
"""MLP decoder module."""
def __init__(self, delta_T=0.1):
super(VelocityStepDecoder, self).__init__()
self.delta_T = delta_T
print('Using velocity step decoder.')
def forward(self, inputs, rel_type, rel_rec, rel_send, pred_steps=1):
# input dimensions ofinputs are [batch, particle, time, state]
inputs = inputs.transpose(1, 2).contiguous()
time_steps = inputs.size(1)
assert (pred_steps <= time_steps)
preds = []
# Only take n-th timesteps as starting points (n: pred_steps)
last_pred = inputs[:, 0::pred_steps, :, :]
# Run n prediction steps
for step in range(0, pred_steps):
last_pred[:, :, :, 0:2] = last_pred[:, :, :, 0:2] + self.delta_T*last_pred[:, :, :, 2:]
preds.append(last_pred)
sizes = [preds[0].size(0), preds[0].size(1) * pred_steps,
preds[0].size(2), preds[0].size(3)]
output = Variable(torch.zeros(sizes))
if inputs.is_cuda:
output = output.cuda()
# Re-assemble correct timeline
for i in range(len(preds)):
output[:, i::pred_steps, :, :] = preds[i]
pred_all = output[:, :(inputs.size(1) - 1), :, :]
return pred_all.transpose(1, 2).contiguous()
| 38.315948 | 119 | 0.587969 | 5,469 | 38,201 | 3.878588 | 0.052295 | 0.025269 | 0.013907 | 0.031256 | 0.901235 | 0.894022 | 0.890675 | 0.885489 | 0.875495 | 0.866349 | 0 | 0.020029 | 0.292924 | 38,201 | 997 | 120 | 38.315948 | 0.765281 | 0.122615 | 0 | 0.818584 | 0 | 0 | 0.027543 | 0 | 0 | 0 | 0 | 0 | 0.007375 | 1 | 0.078171 | false | 0 | 0.00885 | 0 | 0.160767 | 0.017699 | 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 |
eab2045e66a8039a8b219c7bc6ec252005b748dd | 4,461 | py | Python | tests/_async/test_take_while.py | christopher-henderson/PyStream | 8c76a634448d98591aa68087bf78c6cd4da6a6b7 | [
"MIT"
] | null | null | null | tests/_async/test_take_while.py | christopher-henderson/PyStream | 8c76a634448d98591aa68087bf78c6cd4da6a6b7 | [
"MIT"
] | 12 | 2020-10-10T14:28:10.000Z | 2020-10-28T05:42:34.000Z | tests/_async/test_take_while.py | christopher-henderson/PyStream | 8c76a634448d98591aa68087bf78c6cd4da6a6b7 | [
"MIT"
] | null | null | null | import unittest
from pstream import AsyncStream
from tests._async.utils import Driver, Method
class TakeWhile(Method):
def __init__(self, args):
super(TakeWhile, self).__init__(AsyncStream.take_while, args)
class TestTakeWhile(unittest.TestCase):
@Driver(initial=range(10), method=TakeWhile(args=[lambda x: x != 5]), want=[0, 1, 2, 3, 4])
def test__a_a(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=range(10), method=TakeWhile(args=[lambda x: x != 5]), want=[0, 1, 2, 3, 4])
def test__a_s(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=range(10), method=TakeWhile(args=[lambda x: x != 5]), want=[0, 1, 2, 3, 4])
def test__s_a(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=range(10), method=TakeWhile(args=[lambda x: x != 5]), want=[0, 1, 2, 3, 4])
def test__s_s(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
###############################
@Driver(initial=range(10), method=TakeWhile(args=[lambda _: True]), want=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
def test1__a_a(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=range(10), method=TakeWhile(args=[lambda _: True]), want=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
def test1__a_s(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=range(10), method=TakeWhile(args=[lambda _: True]), want=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
def test1__s_a(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=range(10), method=TakeWhile(args=[lambda _: True]), want=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
def test1__s_s(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
###############################
@Driver(initial=[], method=TakeWhile(args=[lambda _: False]), want=[])
def test2__a_a(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=[], method=TakeWhile(args=[lambda _: False]), want=[])
def test2__a_s(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=[], method=TakeWhile(args=[lambda _: False]), want=[])
def test2__s_a(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=[], method=TakeWhile(args=[lambda _: False]), want=[])
def test2__s_s(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
###############################
@Driver(initial=range(10), method=TakeWhile(args=[lambda _: False]), want=[])
def test3__a_a(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=range(10), method=TakeWhile(args=[lambda _: False]), want=[])
def test3__a_s(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=range(10), method=TakeWhile(args=[lambda _: False]), want=[])
def test3__s_a(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
@Driver(initial=range(10), method=TakeWhile(args=[lambda _: False]), want=[])
def test3__s_s(self, got=None, want=None, exception=None):
if exception is not None:
raise exception
self.assertEqual(got, want)
if __name__ == '__main__':
unittest.main()
| 37.175 | 108 | 0.61466 | 609 | 4,461 | 4.374384 | 0.090312 | 0.078078 | 0.114114 | 0.15015 | 0.918919 | 0.918919 | 0.918919 | 0.918919 | 0.918919 | 0.918919 | 0 | 0.029095 | 0.229545 | 4,461 | 119 | 109 | 37.487395 | 0.745999 | 0 | 0 | 0.719101 | 0 | 0 | 0.001832 | 0 | 0 | 0 | 0 | 0 | 0.179775 | 1 | 0.191011 | false | 0 | 0.033708 | 0 | 0.247191 | 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 |
eae46877b4fdb341ec7c2f6a8ce08499e11603fb | 69,580 | py | Python | src/genesis_api_wrapper/data.py | j-suchard/destatis-genesis-api | b0bbec0283ba41707d543b11e556ab0997e5f792 | [
"BSD-3-Clause"
] | null | null | null | src/genesis_api_wrapper/data.py | j-suchard/destatis-genesis-api | b0bbec0283ba41707d543b11e556ab0997e5f792 | [
"BSD-3-Clause"
] | null | null | null | src/genesis_api_wrapper/data.py | j-suchard/destatis-genesis-api | b0bbec0283ba41707d543b11e556ab0997e5f792 | [
"BSD-3-Clause"
] | null | null | null | import datetime
import typing
from . import enums, tools
class DataAPIWrapper:
def __init__(
self, username: str, password: str, language: enums.Language = enums.Language.GERMAN
):
"""Create a new part wrapper for the methods listed in the DataAPIWrapper (2.5) section
:param username: The username which will be used for authenticating at the database. Due
to constraints of the database the username needs to be exactly 10 characters long and
may not contain any whitespaces
:type username: str
:param password: The password which will be used for authenticating at the database. Due
to constraints of the database the password needs to be at least 10 characters long,
may not exceed 20 characters and may not contain any whitespaces
:type password: str
:param language: The language in which the responses are returned by the database.
:py:enum:mem:`~enums.Language.GERMAN` has the most compatibility with the database
since most of the tables are on German. Therefore, this parameter defaults to
:py:enum:mem:`~enums.Language.GERMAN`
:type language: enums.Language
:raise ValueError: The username or the password did not match the constraints stated in
their description.
"""
if " " in username:
raise ValueError("The username may not contain any whitespaces")
if len(username) != 10:
raise ValueError("The username may only be 10 characters long")
if " " in password:
raise ValueError("The password may not contain any whitespaces")
if len(password) < 10:
raise ValueError(
f"The password may not be shorter than 10 characters. Current "
f"length: {len(password)}"
)
if len(password) > 20:
raise ValueError(
f"The password may not be longer that 20 characters. Current "
f"length: {len(password)}"
)
self._service_path = "/data"
# Create the base parameters
self._base_parameter = {
"username": username,
"password": password,
"language": language.value,
}
async def chart2result(
self,
# Selection Specifiers
object_name: str,
# Chart Settings
chart_type: enums.ChartType.LINE_CHART,
image_size: enums.ImageSize = enums.ImageSize.LEVEL_3,
draw_points_in_line_chart: bool = False,
compress_y_axis: bool = False,
show_top_values_first: bool = False,
# Object Storage Settings
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
) -> dict:
"""Download a graph for a result table
The file will be downloaded into a local temporary path. The path to the image will be
returned instead of the whole image
:param object_location: The location in which the object is stored, defaults
to :py:enum:mem:`~enums.GENESISArea`
:type object_location: enums.ObjectStorage
:param object_name: The identifier of the result table [required]
:type object_name: str
:param chart_type: The type of chart which shall be downloaded [required]
:type chart_type: enums.ChartType
:param image_size: The size of the image which shall be downloaded [optional,
default 1024x768 pixels]
:type image_size: enums.ImageSize
:param draw_points_in_line_chart: Highlight data points in a line chart [optional,
only allowed if chart_type is line chart]
:type draw_points_in_line_chart: bool
:param compress_y_axis: Compress the y-axis to fit the values
:type compress_y_axis: bool
:param show_top_values_first:
When using a Pie Chart:
Display the top five (5) values and group all other values into one extra slice
When using any other type of chart:
Show the top four (4) values from the dataset instead of the first four values
:type show_top_values_first: bool
:return: The path to the image or the response from the server if there is an error
:rtype: dict
"""
# Check if the object name is set correctly
if not object_name:
raise ValueError("The object_name is a required parameter")
# Check if the length of the object name is between 1 and 15 characters
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
# Validate that a chart type is set:
if chart_type is None:
raise ValueError("The chart_type is a required parameter")
# Check that draw_points_in_line_chart is only working if the chart type is line chart
if draw_points_in_line_chart and chart_type != enums.ChartType.LINE_CHART:
raise ValueError(
"The parameter draw_points_in_line_chart is only supported for "
"enums.ChartType.LINE_CHART"
)
# Build the query parameters
query_parameter = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"enums.ChartType": chart_type.value,
"drawpoints": str(draw_points_in_line_chart),
"zoom": image_size.value,
"focus": str(compress_y_axis),
"tops": str(show_top_values_first),
"format": "png",
}
# Build the query path
query_path = self._service_path + "/chart2result"
# Download the image
return await tools.get_database_response(query_path, query_parameter)
async def chart2table(
self,
object_name: str,
# Selection Specifier
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
updated_after: typing.Optional[datetime.datetime] = None,
start_year: typing.Optional[str] = None,
end_year: typing.Optional[str] = None,
region_code: typing.Optional[str] = None,
region_key: typing.Optional[str] = None,
# DataAPIWrapper Classifiers
classifying_code_1: typing.Optional[str] = None,
classifying_key_1: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_2: typing.Optional[str] = None,
classifying_key_2: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_3: typing.Optional[str] = None,
classifying_key_3: typing.Optional[typing.Union[str, list[str]]] = None,
# Chart settings:
chart_type: enums.ChartType = enums.ChartType.LINE_CHART,
image_size: enums.ImageSize = enums.ImageSize.LEVEL_3,
draw_points_in_line_chart: bool = False,
compress_y_axis: bool = False,
show_top_values_first: bool = False,
time_slices: int = None,
) -> dict:
"""Download a graph for a table
The image of the graph will be downloaded into a temporary directory and the path to
the image will be returned
:param object_name: The identifier of the table [required, 1-15 characters]
:type object_name: str
:param object_location: The location in which the table is stored, defaults to
:py:enum:mem:`~enums.ObjectStorage.ALL`
:type object_location: str, optional
:param updated_after: Time after which the table needs to have been updated to be
returned, defaults to :attr:`None`
:type updated_after: datetime, optional
:param start_year: DataAPIWrapper starting from this year will be selected for the chart ,
defaults to :attr:`None`
:type start_year: str, optional
:param end_year: DataAPIWrapper after this year will be excluded for the chart, defaults to
:attr:`None`
:type end_year: str, optional
:param region_code: Code of the regional classifier which shall be used to limit the
regional component of the data, defaults to :attr:`None`
:type region_code: str, optional
:param region_key: The official municipality key (AGS) specifying from which
municipalities the data shall be taken from, defaults to :attr:`None`
:type region_key: str, optional
:param classifying_code_1: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_1: str, optional
:param classifying_key_1: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_1: str, optional
:param classifying_code_2: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_2: str, optional
:param classifying_key_2: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_2: str, optional
:param classifying_code_3: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_3: str, optional
:param classifying_key_3: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_3: str, optional
:param chart_type: The type of chart which shall be downloaded, defaults to
:attr:`~enums.ChartType.LINE_CHART`
:type chart_type: enums.ChartType, optional
:param image_size: The size of the image which shall be downloaded, defaults to
:attr:`~enums.ImageSize.LEVEL3`
:type image_size: enums.ImageSize, optional
:param draw_points_in_line_chart: Highlight the data points in a line chart,
only allowed if chart_type is :attr:`enums.ChartType.LINE_CHART`
:type draw_points_in_line_chart: bool, optional
:param compress_y_axis: Compress the y-axis to fit the values
:type compress_y_axis: bool, optional
:param show_top_values_first:
When using :attr:`enums.ChartType.PIE_CHART` as chart_type:
Display the top five (5) values as single slices and group all other slices into
one other slice.
When using any other :class:`enums.ChartType`:
Display the top four (4) values instead of the first four (4) values
:type show_top_values_first: bool, optional
:param time_slices: The number of time slices into which the data shall be accumulated
:type time_slices: int, optional
:return: The path to the image or the file downloaded from the server.
:rtype: dict
"""
# Check if the table name was set correctly
if not object_name:
raise ValueError("The object_name is a required parameter")
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
# Check if any illegal parameter combination was set
if draw_points_in_line_chart and chart_type is not enums.ChartType.LINE_CHART:
raise ValueError(
"The parameter draw_points_in_line_chart is only supported for "
"enums.ChartType.LINE_CHART"
)
# Convert the times to string
_time_string = (
None if updated_after is None else updated_after.strftime("%d.%m.%Y %H:%M:%Sh")
)
# Build the query parameters
query_parameter = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"enums.ChartType": chart_type.value,
"drawpoints": str(draw_points_in_line_chart),
"zoom": image_size.value,
"focus": str(compress_y_axis),
"tops": str(show_top_values_first),
"startyear": start_year,
"endyear": end_year,
"timeslices": time_slices,
"regionalvariable": region_code,
"regionalkey": region_key,
"classifyingvariable1": classifying_code_1,
"classifyingkey1": classifying_key_1,
"classifyingvariable2": classifying_code_2,
"classifyingkey2": classifying_key_2,
"classifyingvariable3": classifying_code_3,
"classifyingkey3": classifying_key_3,
"format": "png",
"stand": _time_string,
}
# Build the query path
query_path = self._service_path + "/chart2table"
# Download the image
return await tools.get_database_response(query_path, query_parameter)
async def chart2timeseries(
self,
object_name: str,
# Selection Specifier
contents: typing.Optional[list[str]] = None,
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
updated_after: typing.Optional[datetime.datetime] = None,
start_year: typing.Optional[str] = None,
end_year: typing.Optional[str] = None,
region_code: typing.Optional[str] = None,
region_key: typing.Optional[str] = None,
# DataAPIWrapper Classifiers
classifying_code_1: typing.Optional[str] = None,
classifying_key_1: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_2: typing.Optional[str] = None,
classifying_key_2: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_3: typing.Optional[str] = None,
classifying_key_3: typing.Optional[typing.Union[str, list[str]]] = None,
# Chart settings:
chart_type: enums.ChartType = enums.ChartType.LINE_CHART,
image_size: enums.ImageSize = enums.ImageSize.LEVEL_3,
draw_points_in_line_chart: bool = False,
compress_y_axis: bool = False,
show_top_values_first: bool = False,
time_slices: int = None,
) -> dict:
"""Download a graph for a timeseries
The image of the graph will be downloaded into a temporary directory and the path to
the image will be returned
:param object_name: The identifier of the timeseries
:type object_name: str
:param contents: The names of the values which shall be in the chart
:type contents: list[str], optional
:param object_location: The location in which the table is stored,
defaults to :py:enum:mem:`~enums.ObjectStorage.ALL`
:type object_location: enums.ObjectStorage, optional
:param updated_after: Time after which the table needs to have been updated to be
returned, defaults to :attr:`None`
:type updated_after: datetime, optional
:param start_year: DataAPIWrapper starting from this year will be selected for the chart ,
defaults to :attr:`None`
:type start_year: str, optional
:param end_year: DataAPIWrapper after this year will be excluded for the chart, defaults to
:attr:`None`
:type end_year: str, optional
:param region_code: Code of the regional classifier which shall be used to limit the
regional component of the data, defaults to :attr:`None`
:type region_code: str, optional
:param region_key: The official municipality key (AGS) specifying from which
municipalities the data shall be taken from, defaults to :attr:`None`
:type region_key: str, optional
:param classifying_code_1: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_1: str, optional
:param classifying_key_1: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_1: str, optional
:param classifying_code_2: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_2: str, optional
:param classifying_key_2: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_2: str, optional
:param classifying_code_3: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_3: str, optional
:param classifying_key_3: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_3: str, optional
:param chart_type: The type of chart which shall be downloaded, defaults to
:py:enum:mem:`~enums.ChartType.LINE_CHART`
:type chart_type: enums.ChartType, optional
:param image_size: The size of the image which shall be downloaded, defaults to
:py:enum:mem:`~enums.ImageSize.LEVEL_3`
:type image_size: enums.ImageSize, optional
:param draw_points_in_line_chart: Highlight the data points in a line chart,
only allowed if chart_type is :attr:`enums.ChartType.LINE_CHART`
:type draw_points_in_line_chart: bool, optional
:param compress_y_axis: Compress the y-axis to fit the values
:type compress_y_axis: bool, optional
:param show_top_values_first:
When using :py:enum:mem:`~enums.ChartType.PIE_CHART` as chart_type:
Display the top five (5) values as single slices and group all other slices into
one other slice.
When using any other :enum:`~enums.ChartType`:
Display the top four (4) values instead of the first four (4) values
:type show_top_values_first: bool, optional
:param time_slices: The number of time slices into which the data shall be accumulated
:type time_slices: int, optional
:return: The path to the image or the file downloaded from the server.
:rtype: dict
"""
# Check if the table name was set correctly
if not object_name:
raise ValueError("The object_name is a required parameter")
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
# Check if any illegal parameter combination was set
if draw_points_in_line_chart and chart_type is not enums.ChartType.LINE_CHART:
raise ValueError(
"The parameter draw_points_in_line_chart is only supported for "
"enums.ChartType.LINE_CHART"
)
# Convert the times to string
_time_string = (
None if updated_after is None else updated_after.strftime("%d.%m.%Y %H:%M:%Sh")
)
# Build the query parameters
query_parameter = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"enums.ChartType": chart_type.value,
"drawpoints": str(draw_points_in_line_chart),
"zoom": image_size.value,
"focus": str(compress_y_axis),
"tops": str(show_top_values_first),
"contents": ",".join(contents) if contents is not None else None,
"startyear": start_year,
"endyear": end_year,
"timeslices": time_slices,
"regionalvariable": region_code,
"regionalkey": region_key,
"classifyingvariable1": classifying_code_1,
"classifyingkey1": classifying_key_1,
"classifyingvariable2": classifying_code_2,
"classifyingkey2": classifying_key_2,
"classifyingvariable3": classifying_code_3,
"classifyingkey3": classifying_key_3,
"format": "png",
"stand": _time_string,
}
# Build the query path
query_path = self._service_path + "/chart2timeseries"
# Download the image
return await tools.get_database_response(query_path, query_parameter)
async def cube(
self,
object_name: str,
# Selection Specifier
contents: typing.Optional[list[str]] = None,
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
updated_after: typing.Optional[datetime.datetime] = None,
start_year: typing.Optional[str] = None,
end_year: typing.Optional[str] = None,
region_code: typing.Optional[str] = None,
region_key: typing.Optional[str] = None,
# DataAPIWrapper Classifiers
classifying_code_1: typing.Optional[str] = None,
classifying_key_1: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_2: typing.Optional[str] = None,
classifying_key_2: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_3: typing.Optional[str] = None,
classifying_key_3: typing.Optional[typing.Union[str, list[str]]] = None,
# Cube settings
values: bool = True,
metadata: bool = True,
additional_metadata: bool = False,
time_slices: int = None,
) -> dict:
"""Get a datacube embedded into an dictionary
This method requires the "premium" access to the database.
:param object_name: The identifier of the data cube
:type object_name: str
:param contents: The names of the values which shall be in the chart
:type contents: list[str], optional
:param object_location: The location in which the table is stored, defaults to
:py:enum:mem:`~enums.GENESISObjectLocation.ALL`
:type object_location: str, optional
:param updated_after: Time after which the table needs to have been updated to be
returned, defaults to :attr:`None`
:type updated_after: datetime, optional
:param start_year: DataAPIWrapper starting from this year will be selected for the chart ,
defaults to :attr:`None`
:type start_year: str, optional
:param end_year: DataAPIWrapper after this year will be excluded for the chart, defaults to
:attr:`None`
:type end_year: str, optional
:param region_code: Code of the regional classifier which shall be used to limit the
regional component of the data, defaults to :attr:`None`
:type region_code: str, optional
:param region_key: The official municipality key (AGS) specifying from which
municipalities the data shall be taken from, defaults to :attr:`None`
:type region_key: str, optional
:param classifying_code_1: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_1: str, optional
:param classifying_key_1: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_1: str, optional
:param classifying_code_2: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_2: str, optional
:param classifying_key_2: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_2: str, optional
:param classifying_code_3: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_3: str, optional
:param classifying_key_3: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_3: str, optional
:param values: Should values be returned, defaults to `True`
:type values: bool, optional
:param metadata: Should metadata be returned, defaults to `True`
:type metadata: bool, optional
:param additional_metadata: Should additional metadata be returned, defaults to `False`
:type additional_metadata: bool, optional
:param time_slices: The number of time slices into which the data shall be accumulated
:type time_slices: int, optional
:return: The csv embedded in the response body
:rtype: dict
"""
if not object_name:
raise ValueError("The object_name is a required parameter")
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
# Convert the times to string
_time_string = (
None if updated_after is None else updated_after.strftime("%d.%m.%Y %H:%M:%Sh")
)
# Build the query parameters
query_parameters = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"contents": ",".join(contents) if contents is not None else None,
"startyear": start_year,
"endyear": end_year,
"regionalvariable": region_code,
"regionalkey": region_key,
"classifyingvariable1": classifying_code_1,
"classifyingkey1": classifying_key_1,
"classifyingvariable2": classifying_code_2,
"classifyingkey2": classifying_key_2,
"classifyingvariable3": classifying_code_3,
"classifyingkey3": classifying_key_3,
"format": "csv",
"stand": _time_string,
"values": str(values),
"metadata": str(metadata),
"additionals": str(additional_metadata),
}
# Build the query path
query_path = self._service_path + "/cube"
# Download the file
return await tools.get_database_response(query_path, query_parameters)
async def cube_file(
self,
object_name: str,
# Selection Specifier
contents: typing.Optional[list[str]] = None,
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
updated_after: typing.Optional[datetime.datetime] = None,
start_year: typing.Optional[str] = None,
end_year: typing.Optional[str] = None,
region_code: typing.Optional[str] = None,
region_key: typing.Optional[str] = None,
# DataAPIWrapper Classifiers
classifying_code_1: typing.Optional[str] = None,
classifying_key_1: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_2: typing.Optional[str] = None,
classifying_key_2: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_3: typing.Optional[str] = None,
classifying_key_3: typing.Optional[typing.Union[str, list[str]]] = None,
# Cube settings
values: bool = True,
metadata: bool = True,
additional_metadata: bool = False,
time_slices: int = None,
):
"""Download a data cube as csv-file (seperator: `;`)
This method requires the "premium" access to the database.
:param object_name: The identifier of the data cube
:type object_name: str
:param contents: The names of the values which shall be in the chart
:type contents: list[str], optional
:param object_location: The location in which the table is stored,
defaults to :py:enum:mem:`~enums.ObjectStorage.ALL`
:type object_location: enums.ObjectStorage, optional
:param updated_after: Time after which the table needs to have been
updated to be returned, defaults to :attr:`None`
:type updated_after: datetime, optional
:param start_year: DataAPIWrapper starting from this year will be selected for the
chart, defaults to :attr:`None`
:type start_year: str, optional
:param end_year: DataAPIWrapper after this year will be excluded for the chart,
defaults to :attr:`None`
:type end_year: str, optional
:param region_code: Code of the regional classifier which shall be used
to limit the regional component of the data, defaults to :attr:`None`
:type region_code: str, optional
:param region_key: The official municipality key (AGS) specifying from which
municipalities the data shall be taken from, defaults to :attr:`None`
:type region_key: str, optional
:param classifying_code_1: Code of the classificator which shall be used
to limit the data selection further, defaults to :attr:`None`
:type classifying_code_1: str, optional
:param classifying_key_1: Code of the classificator value which shall be
used to limit the data selection further, defaults to :attr:`None`
:type classifying_key_1: str, optional
:param classifying_code_2: Code of the classificator which shall be used
to limit the data selection further, defaults to :attr:`None`
:type classifying_code_2: str, optional
:param classifying_key_2: Code of the classificator value which shall be
used to limit the data selection further, defaults to :attr:`None`
:type classifying_key_2: str, optional
:param classifying_code_3: Code of the classificator which shall be used
to limit the data selection further, defaults to :attr:`None`
:type classifying_code_3: str, optional
:param classifying_key_3: Code of the classificator value which shall be
used to limit the data selection further, defaults to :attr:`None`
:type classifying_key_3: str, optional
:param values: Should values be returned, defaults to `True`
:type values: bool, optional
:param metadata: Should metadata be returned, defaults to `True`
:type metadata: bool, optional
:param additional_metadata: Should additional metadata be returned,
defaults to `False`
:type additional_metadata: bool, optional
:param time_slices: The number of time slices into which the data shall
be accumulated
:type time_slices: int, optional
:return: The csv embedded in the response body
:rtype: dict
"""
if not object_name:
raise ValueError("The object_name is a required parameter")
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
# Convert the times to string
_time_string = (
None if updated_after is None else updated_after.strftime("%d.%m.%Y %H:%M:%Sh")
)
# Build the query parameters
query_parameters = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"contents": ",".join(contents) if contents is not None else None,
"startyear": start_year,
"endyear": end_year,
"regionalvariable": region_code,
"regionalkey": region_key,
"classifyingvariable1": classifying_code_1,
"classifyingkey1": classifying_key_1,
"classifyingvariable2": classifying_code_2,
"classifyingkey2": classifying_key_2,
"classifyingvariable3": classifying_code_3,
"classifyingkey3": classifying_key_3,
"format": "csv",
"stand": _time_string,
"values": str(values),
"metadata": str(metadata),
"additionals": str(additional_metadata),
}
# Build the query path
query_path = self._service_path + "/cubefile"
# Download the file
return await tools.get_database_response(query_path, query_parameters)
async def map2result(
self,
object_name: str,
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
number_of_distinction_classes: typing.Optional[int] = 5,
classify_by_same_value_range: typing.Optional[bool] = True,
image_size: enums.ImageSize = enums.ImageSize.LEVEL_3,
):
"""Download a map displaying the values of the specified result table
:param object_name: The identifier of the data cube
:type object_name: str
:param object_location: The location in which the table is stored,
defaults to :py:enum:mem:`~enums.ObjectStorage.ALL`
:type object_location: enums.ObjectStorage, optional
:param number_of_distinction_classes: The number of distinction classes to be
generated, defaults to 5
:type number_of_distinction_classes: int, optional
:param classify_by_same_value_range: If this is set to `True`, the distinction classes
have the same size. If this is set to `False` the distinction classes have
different sizes, but the same amount of values in them. Defaults to `True`
:type classify_by_same_value_range: bool, optional
:param image_size: The size of the image which shall be downloaded, defaults to
:py:enum:mem:`~enums.ImageSize.LEVEL_3`
:type image_size: enums.ImageSize, optional
:return: The path to the image or the file downloaded from the server.
:rtype: dict
"""
if not object_name:
raise ValueError("The object_name is a required parameter")
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
if not (2 <= number_of_distinction_classes <= 5):
raise ValueError("The number of distinction classes need to be between 2 and 5")
# Build the query parameters
query_parameters = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"mapType": 0,
"classes": number_of_distinction_classes,
"classification": int(classify_by_same_value_range),
"zoom": image_size.value,
"format": "png",
}
# Build the query path
query_path = self._service_path + "/map2result"
# Download the file
return await tools.get_database_response(query_path, query_parameters)
async def map2table(
self,
object_name: str,
# Selection Specifier
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
start_year: typing.Optional[str] = None,
end_year: typing.Optional[str] = None,
region_code: typing.Optional[str] = None,
region_key: typing.Optional[str] = None,
# DataAPIWrapper Classifiers
classifying_code_1: typing.Optional[str] = None,
classifying_key_1: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_2: typing.Optional[str] = None,
classifying_key_2: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_3: typing.Optional[str] = None,
classifying_key_3: typing.Optional[typing.Union[str, list[str]]] = None,
# Map Settings
number_of_distinction_classes: typing.Optional[int] = 5,
classify_by_same_value_range: typing.Optional[bool] = True,
image_size: enums.ImageSize = enums.ImageSize.LEVEL_3,
):
"""
Download a map visualizing the selected data from the table
:param object_name: The identifier of the table [required, 1-15 characters]
:type object_name: str
:param object_location: The location in which the table is stored, defaults to
:py:enum:mem:`~enums.ObjectStorage.ALL`
:type object_location: str, optional
:param start_year: DataAPIWrapper starting from this year will be selected for the chart ,
defaults to :attr:`None`
:type start_year: str, optional
:param end_year: DataAPIWrapper after this year will be excluded for the chart, defaults to
:attr:`None`
:type end_year: str, optional
:param region_code: Code of the regional classifier which shall be used to limit the
regional component of the data, defaults to :attr:`None`
:type region_code: str, optional
:param region_key: The official municipality key (AGS) specifying from which
municipalities the data shall be taken from, defaults to :attr:`None`
:type region_key: str, optional
:param classifying_code_1: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_1: str, optional
:param classifying_key_1: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_1: str, optional
:param classifying_code_2: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_2: str, optional
:param classifying_key_2: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_2: str, optional
:param classifying_code_3: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_3: str, optional
:param classifying_key_3: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_3: str, optional
:param number_of_distinction_classes: The number of distinction classes to be
generated, defaults to 5
:type number_of_distinction_classes: int, optional
:param classify_by_same_value_range: If this is set to `True`, the distinction classes
have the same size. If this is set to `False` the distinction classes have
different sizes, but the same amount of values in them. Defaults to `True`
:type classify_by_same_value_range: bool, optional
:param image_size: The size of the image which shall be downloaded, defaults to
:py:enum:mem:`~enums.ImageSize.LEVEL_3`
:type image_size: enums.ImageSize, optional
:return: The path to the image or the file downloaded from the server.
:rtype: dict
"""
if not object_name:
raise ValueError("The object_name is a required parameter")
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
if not (2 <= number_of_distinction_classes <= 5):
raise ValueError("The number of distinction classes need to be between 2 and 5")
# Build the query parameters
query_parameters = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"mapType": 0,
"classes": number_of_distinction_classes,
"classification": int(classify_by_same_value_range),
"zoom": image_size.value,
"startyear": start_year,
"endyear": end_year,
"regionalvariable": region_code,
"regionalkey": region_key,
"classifyingvariable1": classifying_code_1,
"classifyingkey1": classifying_key_1,
"classifyingvariable2": classifying_code_2,
"classifyingkey2": classifying_key_2,
"classifyingvariable3": classifying_code_3,
"classifyingkey3": classifying_key_3,
"format": "png",
}
# Build the query path
query_path = self._service_path + "/map2table"
# Download the file
return await tools.get_database_response(query_path, query_parameters)
async def map2timeseries(
self,
object_name: str,
# Selection Specifier
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
updated_after: typing.Optional[datetime.datetime] = None,
start_year: typing.Optional[str] = None,
end_year: typing.Optional[str] = None,
region_code: typing.Optional[str] = None,
region_key: typing.Optional[str] = None,
# DataAPIWrapper Classifiers
classifying_code_1: typing.Optional[str] = None,
classifying_key_1: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_2: typing.Optional[str] = None,
classifying_key_2: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_3: typing.Optional[str] = None,
classifying_key_3: typing.Optional[typing.Union[str, list[str]]] = None,
# Map Settings
number_of_distinction_classes: typing.Optional[int] = 5,
classify_by_same_value_range: typing.Optional[bool] = True,
image_size: enums.ImageSize = enums.ImageSize.LEVEL_3,
):
"""
Download a map visualizing the selected data from the table
:param object_name: The identifier of the table [required, 1-15 characters]
:type object_name: str
:param object_location: The location in which the table is stored, defaults to
:py:enum:mem:`~enums.ObjectStorage.ALL`
:type object_location: str, optional
:param updated_after: Time after which the table needs to have been updated to be
returned, defaults to :attr:`None`
:type updated_after: datetime, optional
:param start_year: Data starting from this year will be selected for the chart ,
defaults to :attr:`None`
:type start_year: str, optional
:param end_year: Data after this year will be excluded for the chart, defaults to
:attr:`None`
:type end_year: str, optional
:param region_code: Code of the regional classifier which shall be used to limit the
regional component of the data, defaults to :attr:`None`
:type region_code: str, optional
:param region_key: The official municipality key (AGS) specifying from which
municipalities the data shall be taken from, defaults to :attr:`None`
:type region_key: str, optional
:param classifying_code_1: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_1: str, optional
:param classifying_key_1: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_1: str, optional
:param classifying_code_2: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_2: str, optional
:param classifying_key_2: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_2: str, optional
:param classifying_code_3: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_3: str, optional
:param classifying_key_3: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_3: str, optional
:param number_of_distinction_classes: The number of distinction classes to be
generated, defaults to 5
:type number_of_distinction_classes: int, optional
:param classify_by_same_value_range: If this is set to `True`, the distinction classes
have the same size. If this is set to `False` the distinction classes have
different sizes, but the same amount of values in them. Defaults to `True`
:type classify_by_same_value_range: bool, optional
:param image_size: The size of the image which shall be downloaded, defaults to
:py:enum:mem:`~enums.ImageSize.LEVEL_3`
:type image_size: enums.ImageSize, optional
:return: The path to the image or the file downloaded from the server.
:rtype: dict
"""
if not object_name:
raise ValueError("The object_name is a required parameter")
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
if not (2 <= number_of_distinction_classes <= 5):
raise ValueError("The number of distinction classes need to be between 2 and 5")
# Build the query parameters
query_parameters = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"mapType": 0,
"classes": number_of_distinction_classes,
"classification": int(classify_by_same_value_range),
"zoom": image_size.value,
"startyear": start_year,
"endyear": end_year,
"regionalvariable": region_code,
"regionalkey": region_key,
"classifyingvariable1": classifying_code_1,
"classifyingkey1": classifying_key_1,
"classifyingvariable2": classifying_code_2,
"classifyingkey2": classifying_key_2,
"classifyingvariable3": classifying_code_3,
"classifyingkey3": classifying_key_3,
"format": "png",
}
# Build the query path
query_path = self._service_path + "/map2timeseries"
# Download the file
return await tools.get_database_response(query_path, query_parameters)
async def result(
self,
object_name: str,
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
remove_empty_rows: bool = False,
):
"""
Get the contents of the result table embedded in the response
:param object_name: The identifier of the table [required, 1-15 characters]
:type object_name: str
:param object_location: The location in which the table is stored, defaults to
:py:enum:mem:`~enums.ObjectStorage.ALL`
:type object_location: str, optional
:param remove_empty_rows: Remove empty rows from the embedded CSV-file
:type remove_empty_rows: bool, optional
:return: Dictionary containing the response
:rtype: dict
"""
if not object_name:
raise ValueError("The object_name is a required parameter")
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
# Build query parameters
query_parameter = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"compress": str(remove_empty_rows),
}
query_path = self._service_path + "/result"
return await tools.get_database_response(query_path, query_parameter)
async def table(
self,
object_name: str,
# Selection Specifier
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
updated_after: typing.Optional[datetime.datetime] = None,
start_year: typing.Optional[str] = None,
end_year: typing.Optional[str] = None,
region_code: typing.Optional[str] = None,
region_key: typing.Optional[str] = None,
# DataAPIWrapper Classifiers
classifying_code_1: typing.Optional[str] = None,
classifying_key_1: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_2: typing.Optional[str] = None,
classifying_key_2: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_3: typing.Optional[str] = None,
classifying_key_3: typing.Optional[typing.Union[str, list[str]]] = None,
# Output Selection
generate_job: bool = False,
remove_emtpy_rows: bool = False,
switch_rows_and_columns: bool = False,
):
"""
Download a table by embedding it into the JSON Response
:param object_name: The identifier of the table [required, 1-15 characters]
:type object_name: str
:param object_location: The location in which the table is stored, defaults to
:py:enum:mem:`~enums.ObjectStorage.ALL`
:type object_location: str, optional
:param updated_after: Time after which the table needs to have been updated to be
returned, defaults to :attr:`None`
:type updated_after: datetime, optional
:param start_year: DataAPIWrapper starting from this year will be selected for the chart ,
defaults to :attr:`None`
:type start_year: str, optional
:param end_year: DataAPIWrapper after this year will be excluded for the chart, defaults to
:attr:`None`
:type end_year: str, optional
:param region_code: Code of the regional classifier which shall be used to limit the
regional component of the data, defaults to :attr:`None`
:type region_code: str, optional
:param region_key: The official municipality key (AGS) specifying from which
municipalities the data shall be taken from, defaults to :attr:`None`
:type region_key: str, optional
:param classifying_code_1: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_1: str, optional
:param classifying_key_1: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_1: str, optional
:param classifying_code_2: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_2: str, optional
:param classifying_key_2: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_2: str, optional
:param classifying_code_3: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_3: str, optional
:param classifying_key_3: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_3: str, optional
:param generate_job: Generate a Job if the table cannot be pulled directly, defaults
to ``False``
:type generate_job: bool
:param remove_emtpy_rows: Remove all empty data rows from the response, defaults to
``False``
:type remove_emtpy_rows: bool
:param switch_rows_and_columns: Switch the rows and columns in the response,
defaults to ``False``
:type switch_rows_and_columns: bool
:return: The specified table data embedded in the response data
:rtype: dict
"""
if not object_name:
raise ValueError("The object_name is a required parameter")
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
# Build the query parameters
query_parameters = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"compress": str(remove_emtpy_rows),
"transpose": str(switch_rows_and_columns),
"startyear": start_year,
"endyear": end_year,
"regionalvariable": region_code,
"regionalkey": region_key,
"classifyingvariable1": classifying_code_1,
"classifyingkey1": classifying_key_1,
"classifyingvariable2": classifying_code_2,
"classifyingkey2": classifying_key_2,
"classifyingvariable3": classifying_code_3,
"classifyingkey3": classifying_key_3,
"job": str(generate_job),
}
# Build the query path
query_path = self._service_path + "/table"
# Get the response
return await tools.get_database_response(query_path, query_parameters)
async def tablefile(
self,
object_name: str,
# Selection Specifier
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
updated_after: typing.Optional[datetime.datetime] = None,
start_year: typing.Optional[str] = None,
end_year: typing.Optional[str] = None,
region_code: typing.Optional[str] = None,
region_key: typing.Optional[str] = None,
# DataAPIWrapper Classifiers
classifying_code_1: typing.Optional[str] = None,
classifying_key_1: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_2: typing.Optional[str] = None,
classifying_key_2: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_3: typing.Optional[str] = None,
classifying_key_3: typing.Optional[typing.Union[str, list[str]]] = None,
# Output Selection
generate_job: bool = False,
remove_emtpy_rows: bool = False,
switch_rows_and_columns: bool = False,
file_format: enums.FileFormat = enums.FileFormat.CSV,
):
"""
Download a table as file
:param object_name: The identifier of the table [required, 1-15 characters]
:type object_name: str
:param object_location: The location in which the table is stored, defaults to
:py:enum:mem:`~enums.ObjectStorage.ALL`
:type object_location: str, optional
:param updated_after: Time after which the table needs to have been updated to be
returned, defaults to :attr:`None`
:type updated_after: datetime, optional
:param start_year: DataAPIWrapper starting from this year will be selected for the chart ,
defaults to :attr:`None`
:type start_year: str, optional
:param end_year: DataAPIWrapper after this year will be excluded for the chart, defaults to
:attr:`None`
:type end_year: str, optional
:param region_code: Code of the regional classifier which shall be used to limit the
regional component of the data, defaults to :attr:`None`
:type region_code: str, optional
:param region_key: The official municipality key (AGS) specifying from which
municipalities the data shall be taken from, defaults to :attr:`None`
:type region_key: str, optional
:param classifying_code_1: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_1: str, optional
:param classifying_key_1: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_1: str, optional
:param classifying_code_2: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_2: str, optional
:param classifying_key_2: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_2: str, optional
:param classifying_code_3: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_3: str, optional
:param classifying_key_3: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_3: str, optional
:param generate_job: Generate a Job if the table cannot be pulled directly, defaults
to ``False``
:type generate_job: bool
:param remove_emtpy_rows: Remove all empty data rows from the response, defaults to
``False``
:type remove_emtpy_rows: bool
:param switch_rows_and_columns: Switch the rows and columns in the response,
defaults to ``False``
:type switch_rows_and_columns: bool
:param file_format: The file format which shall be returned, defaults to
:py:enum:mem:`~enums.FileType.CSV`
:type file_format: enums.FileType
:return: The specified table data embedded in the response data
:rtype: dict
"""
if not object_name:
raise ValueError("The object_name is a required parameter")
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
# Build the query parameters
query_parameters = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"compress": str(remove_emtpy_rows),
"transpose": str(switch_rows_and_columns),
"startyear": start_year,
"endyear": end_year,
"regionalvariable": region_code,
"regionalkey": region_key,
"classifyingvariable1": classifying_code_1,
"classifyingkey1": classifying_key_1,
"classifyingvariable2": classifying_code_2,
"classifyingkey2": classifying_key_2,
"classifyingvariable3": classifying_code_3,
"classifyingkey3": classifying_key_3,
"job": str(generate_job),
"format": file_format.value,
}
# Build the query path
query_path = self._service_path + "/tablefile"
# Get the response
return await tools.get_database_response(query_path, query_parameters)
async def timeseries(
self,
object_name: str,
# Selection Specifier
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
updated_after: typing.Optional[datetime.datetime] = None,
start_year: typing.Optional[str] = None,
end_year: typing.Optional[str] = None,
region_code: typing.Optional[str] = None,
region_key: typing.Optional[str] = None,
# DataAPIWrapper Classifiers
classifying_code_1: typing.Optional[str] = None,
classifying_key_1: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_2: typing.Optional[str] = None,
classifying_key_2: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_3: typing.Optional[str] = None,
classifying_key_3: typing.Optional[typing.Union[str, list[str]]] = None,
# Output Selection
generate_job: bool = False,
remove_emtpy_rows: bool = False,
switch_rows_and_columns: bool = False,
):
"""
Download a timeseries embedded into a JSON response
:param object_name: The identifier of the table [required, 1-15 characters]
:type object_name: str
:param object_location: The location in which the table is stored, defaults to
:py:enum:mem:`~enums.ObjectStorage.ALL`
:type object_location: str, optional
:param updated_after: Time after which the table needs to have been updated to be
returned, defaults to :attr:`None`
:type updated_after: datetime, optional
:param start_year: DataAPIWrapper starting from this year will be selected for the chart ,
defaults to :attr:`None`
:type start_year: str, optional
:param end_year: DataAPIWrapper after this year will be excluded for the chart, defaults to
:attr:`None`
:type end_year: str, optional
:param region_code: Code of the regional classifier which shall be used to limit the
regional component of the data, defaults to :attr:`None`
:type region_code: str, optional
:param region_key: The official municipality key (AGS) specifying from which
municipalities the data shall be taken from, defaults to :attr:`None`
:type region_key: str, optional
:param classifying_code_1: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_1: str, optional
:param classifying_key_1: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_1: str, optional
:param classifying_code_2: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_2: str, optional
:param classifying_key_2: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_2: str, optional
:param classifying_code_3: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_3: str, optional
:param classifying_key_3: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_3: str, optional
:param generate_job: Generate a Job if the table cannot be pulled directly, defaults
to ``False``
:type generate_job: bool
:param remove_emtpy_rows: Remove all empty data rows from the response, defaults to
``False``
:type remove_emtpy_rows: bool
:param switch_rows_and_columns: Switch the rows and columns in the response,
defaults to ``False``
:type switch_rows_and_columns: bool
:return: The specified table data embedded in the response data
:rtype: dict
"""
if not object_name:
raise ValueError("The object_name is a required parameter")
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
# Build the query parameters
query_parameters = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"compress": str(remove_emtpy_rows),
"transpose": str(switch_rows_and_columns),
"startyear": start_year,
"endyear": end_year,
"regionalvariable": region_code,
"regionalkey": region_key,
"classifyingvariable1": classifying_code_1,
"classifyingkey1": classifying_key_1,
"classifyingvariable2": classifying_code_2,
"classifyingkey2": classifying_key_2,
"classifyingvariable3": classifying_code_3,
"classifyingkey3": classifying_key_3,
"job": str(generate_job),
}
# Build the query path
query_path = self._service_path + "/timeseries"
# Get the response
return await tools.get_database_response(query_path, query_parameters)
async def timeseriesfile(
self,
object_name: str,
# Selection Specifier
object_location: enums.ObjectStorage = enums.ObjectStorage.ALL,
updated_after: typing.Optional[datetime.datetime] = None,
start_year: typing.Optional[str] = None,
end_year: typing.Optional[str] = None,
region_code: typing.Optional[str] = None,
region_key: typing.Optional[str] = None,
# DataAPIWrapper Classifiers
classifying_code_1: typing.Optional[str] = None,
classifying_key_1: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_2: typing.Optional[str] = None,
classifying_key_2: typing.Optional[typing.Union[str, list[str]]] = None,
classifying_code_3: typing.Optional[str] = None,
classifying_key_3: typing.Optional[typing.Union[str, list[str]]] = None,
# Output Selection
generate_job: bool = False,
remove_emtpy_rows: bool = False,
switch_rows_and_columns: bool = False,
):
"""
Download a timeseries embedded into a JSON response
:param object_name: The identifier of the table [required, 1-15 characters]
:type object_name: str
:param object_location: The location in which the table is stored, defaults to
:py:enum:mem:`~enums.ObjectStorage.ALL`
:type object_location: str, optional
:param updated_after: Time after which the table needs to have been updated to be
returned, defaults to :attr:`None`
:type updated_after: datetime, optional
:param start_year: DataAPIWrapper starting from this year will be selected for the chart ,
defaults to :attr:`None`
:type start_year: str, optional
:param end_year: DataAPIWrapper after this year will be excluded for the chart, defaults to
:attr:`None`
:type end_year: str, optional
:param region_code: Code of the regional classifier which shall be used to limit the
regional component of the data, defaults to :attr:`None`
:type region_code: str, optional
:param region_key: The official municipality key (AGS) specifying from which
municipalities the data shall be taken from, defaults to :attr:`None`
:type region_key: str, optional
:param classifying_code_1: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_1: str, optional
:param classifying_key_1: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_1: str, optional
:param classifying_code_2: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_2: str, optional
:param classifying_key_2: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_2: str, optional
:param classifying_code_3: Code of the classificator which shall be used to limit the
data selection further, defaults to :attr:`None`
:type classifying_code_3: str, optional
:param classifying_key_3: Code of the classificator value which shall be used to
limit the data selection further, defaults to :attr:`None`
:type classifying_key_3: str, optional
:param generate_job: Generate a Job if the table cannot be pulled directly, defaults
to ``False``
:type generate_job: bool
:param remove_emtpy_rows: Remove all empty data rows from the response, defaults to
``False``
:type remove_emtpy_rows: bool
:param switch_rows_and_columns: Switch the rows and columns in the response,
defaults to ``False``
:type switch_rows_and_columns: bool
:return: The specified table data embedded in the response data
:rtype: dict
"""
if not object_name:
raise ValueError("The object_name is a required parameter")
if not (1 <= len(object_name.strip()) <= 15):
raise ValueError("The object_name may only contain between 1 and 15 characters")
# Build the query parameters
query_parameters = self._base_parameter | {
"name": object_name,
"area": object_location.value,
"compress": str(remove_emtpy_rows),
"transpose": str(switch_rows_and_columns),
"startyear": start_year,
"endyear": end_year,
"regionalvariable": region_code,
"regionalkey": region_key,
"classifyingvariable1": classifying_code_1,
"classifyingkey1": classifying_key_1,
"classifyingvariable2": classifying_code_2,
"classifyingkey2": classifying_key_2,
"classifyingvariable3": classifying_code_3,
"classifyingkey3": classifying_key_3,
"job": str(generate_job),
"format": "csv",
}
# Build the query path
query_path = self._service_path + "/timeseriesfile"
# Get the response
return await tools.get_database_response(query_path, query_parameters)
| 52.315789 | 99 | 0.656309 | 8,694 | 69,580 | 5.089717 | 0.037497 | 0.035028 | 0.040497 | 0.044339 | 0.950938 | 0.943141 | 0.936949 | 0.928565 | 0.923616 | 0.920113 | 0 | 0.009551 | 0.271716 | 69,580 | 1,329 | 100 | 52.355154 | 0.863678 | 0.044266 | 0 | 0.866438 | 0 | 0 | 0.150431 | 0.005237 | 0 | 0 | 0 | 0 | 0 | 1 | 0.001712 | false | 0.017123 | 0.005137 | 0 | 0.030822 | 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 |
d8267a38e3cf738ba3ba2a2e57c980c0c7dc55d0 | 5,656 | py | Python | ElectionsTools/cases/data.py | tgquintela/ElectionsTools | a522b7503a9a75ab607010d5b873e3c36e9bd443 | [
"MIT"
] | null | null | null | ElectionsTools/cases/data.py | tgquintela/ElectionsTools | a522b7503a9a75ab607010d5b873e3c36e9bd443 | [
"MIT"
] | null | null | null | ElectionsTools/cases/data.py | tgquintela/ElectionsTools | a522b7503a9a75ab607010d5b873e3c36e9bd443 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
cand_fus_prov = {'PSOE': ['PSE-EE (PSOE)', "PSOE", "PSC", "PSE-EE", "PSdeG-PSOE", "PSC-PSOE", "PSOE-NCa"],
"PODEMOS": ["PODEMOS-AHAL DUGU", "PODEMOS", "PODEMOS-COMPROMÍS", "PODEMOS-En Marea-ANOVA-EU", "PODEMOS-Ahora Alto Aragón en Común", "PODEMOS - COMPROMIS", "PODEMOS-EN MAREA-ANOVA-EU", "EN COMÚ"],
'EH Bildu': ['EH Bildu'],
'UPYD': ['UPYD'],
"C's": ["C's", "C´s"],
"PP": ["PP-PAR", "PP", "PP-FORO", "UPN-PP"],
"EAJ-PNV": ["EAJ-PNV"],
"PACMA": ["PACMA"],
"IU": ["IU-UPeC", "UNIDAD POPULAR", "UPeC-IU-IZCA", "IU-UpeC", "IUC-UPeC", "IU-B-UPeC", "IU-CHA-UPeC", "UP-UPeC", "EUPV-UPeC", "UPeC-IU", "IULV-CA, UPeC", "IULV-CA,UPeC", "IU-UPeC-IAS", "UP: IULV-CA, UPeC", "UPB: IU-UPeC"],
"RECORTES CERO-GRUPO VERDE": ["RECORTES CERO-GRUPO VERDE"],
"CANARIAS DECIDE": ["CANARIAS DECIDE"],
"PCPE": ["PCPE"],
"Unió": ["Unio.Cat", "unio.cat"],
"VOX": ["VOX"],
"ERC": ["ERC-CATSI", "ERC-CATSÍ"],
"+MAS+": ["+MAS+"],
"Independientes-FIA": ["Independientes-FIA"],
"FE de las JONS": ["FE de las JONS"],
"PH": ["PH"],
"OE": ["OE"],
"Ln": ["Ln"],
"CENTRO MODERADO": ["CENTRO MODERADO"],
"P-LIB": ["P-LIB"],
"FDEE": ["FDEE"],
"ARAPV": ["ARAPV", "ARA, PV"],
"SOMVAL": ["SOMVAL"],
"PLD": ["PLD"],
"PFyV": ["PFyV"],
"PUM+J": ["PUM+J"],
"MÉS": ["MÉS"],
"EL PI": ["EL PI"],
"SAIn": ["SAIn"],
"CCD": ["CCD"],
"DN": ["DN"],
"EN POSITIU": ["EN POSITIU"],
"DL": ["DL"],
"mlgXSÍ": ["mlgXSÍ"],
"PCPC": ["PCPC"],
"EB": ["EB", "EB - AZ", "EB-AZ"],
"AVANT": ["AVANT"],
"SOLUCIONA": ["SOLUCIONA"],
"X ESQ": ["X ESQ"],
"PREPAL": ["PREPAL"],
"GBAI": ["GBAI"],
"CCa-PNC": ["CCa-PNC"],
"X LA IZQUIERDA-LOS VERDES": ["X LA IZQUIERDA-LOS VERDES"],
"PCOE": ["PCOE"],
"EU-eX": ["EU-eX"],
"IFem": ["IFem"],
"NÓS": ["NÓS"],
"PT": ["PT"],
"CILUS": ["CILUS"],
"AJU": ["AJU"],
"CRA": ["CRA"],
"EZKERRA": ["EZKERRA"],
"JS,PC": ["JS,PC"]}
grup_fus_prov = {'PSOE': ['PSE-EE (PSOE)', "PSOE", "PSE-EE", "PSdeG-PSOE", "PSC", "PSOE-NCa"],
"PSC-PSOE": ["PSC-PSOE"],
"PODEMOS": ["PODEMOS-AHAL DUGU", "PODEMOS", "PODEMOS-Ahora Alto Aragón en Común"],
"EN COMÚ": ["EN COMÚ"],
"PODEMOS-COMPROMÍS": ["PODEMOS-COMPROMÍS", "PODEMOS - COMPROMIS"],
"PODEMOS-En Marea-ANOVA-EU": ["PODEMOS-En Marea-ANOVA-EU", "PODEMOS-EN MAREA-ANOVA-EU"],
'EH Bildu': ['EH Bildu'],
'UPYD': ['UPYD'],
"C's": ["C's", "C´s"],
"PP": ["PP-PAR", "PP", "PP-FORO", "UPN-PP"],
"EAJ-PNV": ["EAJ-PNV"],
"PACMA": ["PACMA"],
"IU": ["IU-UPeC", "UNIDAD POPULAR", "UPeC-IU-IZCA", "IU-UpeC", "IUC-UPeC", "IU-B-UPeC", "IU-CHA-UPeC", "UP-UPeC", "EUPV-UPeC", "UPeC-IU", "IULV-CA, UPeC", "IULV-CA,UPeC", "IU-UPeC-IAS", "UP: IULV-CA, UPeC", "UPB: IU-UPeC"],
"RECORTES CERO-GRUPO VERDE": ["RECORTES CERO-GRUPO VERDE"],
"CANARIAS DECIDE": ["CANARIAS DECIDE"],
"PCPE": ["PCPE"],
"Unió": ["Unio.Cat", "unio.cat"],
"VOX": ["VOX"],
"ERC": ["ERC-CATSI", "ERC-CATSÍ"],
"+MAS+": ["+MAS+"],
"Independientes-FIA": ["Independientes-FIA"],
"FE de las JONS": ["FE de las JONS"],
"PH": ["PH"],
"OE": ["OE"],
"Ln": ["Ln"],
"CENTRO MODERADO": ["CENTRO MODERADO"],
"P-LIB": ["P-LIB"],
"FDEE": ["FDEE"],
"ARAPV": ["ARAPV", "ARA, PV"],
"SOMVAL": ["SOMVAL"],
"PLD": ["PLD"],
"PFyV": ["PFyV"],
"PUM+J": ["PUM+J"],
"MÉS": ["MÉS"],
"EL PI": ["EL PI"],
"SAIn": ["SAIn"],
"CCD": ["CCD"],
"DN": ["DN"],
"EN POSITIU": ["EN POSITIU"],
"DL": ["DL"],
"mlgXSÍ": ["mlgXSÍ"],
"PCPC": ["PCPC"],
"EB": ["EB", "EB - AZ", "EB-AZ"],
"AVANT": ["AVANT"],
"SOLUCIONA": ["SOLUCIONA"],
"X ESQ": ["X ESQ"],
"PREPAL": ["PREPAL"],
"GBAI": ["GBAI"],
"CCa-PNC": ["CCa-PNC"],
"X LA IZQUIERDA-LOS VERDES": ["X LA IZQUIERDA-LOS VERDES"],
"PCOE": ["PCOE"],
"EU-eX": ["EU-eX"],
"IFem": ["IFem"],
"NÓS": ["NÓS"],
"PT": ["PT"],
"CILUS": ["CILUS"],
"AJU": ["AJU"],
"CRA": ["CRA"],
"EZKERRA": ["EZKERRA"],
"JS,PC": ["JS,PC"]}
| 45.98374 | 240 | 0.353784 | 536 | 5,656 | 3.729478 | 0.242537 | 0.030015 | 0.030015 | 0.047524 | 0.94047 | 0.94047 | 0.847424 | 0.796898 | 0.796898 | 0.796898 | 0 | 0.000302 | 0.415488 | 5,656 | 122 | 241 | 46.360656 | 0.603751 | 0.007603 | 0 | 0.931034 | 0 | 0 | 0.392265 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
d83494f2192a5f29ffbbbbc9abbbe40b6df5159f | 1,094 | py | Python | tests/test_replaces.py | stscoundrel/sanakirju-simplifier | 07c821a2d8ababad60fcf27fb8bfbb0dcf00f8fc | [
"MIT"
] | null | null | null | tests/test_replaces.py | stscoundrel/sanakirju-simplifier | 07c821a2d8ababad60fcf27fb8bfbb0dcf00f8fc | [
"MIT"
] | 5 | 2022-02-05T16:18:11.000Z | 2022-03-03T16:27:54.000Z | tests/test_replaces.py | stscoundrel/sanakirju-simplifier | 07c821a2d8ababad60fcf27fb8bfbb0dcf00f8fc | [
"MIT"
] | null | null | null | from src.sanakirju_simpilifier import replaces, reader
def test_replaces_simple_content_in_xml_files() -> None:
original_files = reader.read_xml_files()
results = replaces.simplify_files(original_files)
# Original files should contain replacable bits.
for _, contents in original_files:
assert "</RangeOfApplication>" in contents
assert "</Fragment>" in contents
# Result should not contain replacable bits.
for _, contents in results:
assert "</RangeOfApplication>" not in contents
assert "</Fragment>" not in contents
def test_replaces_regex_content_in_xml_files() -> None:
original_files = reader.read_xml_files()
results = replaces.simplify_files(original_files)
# Original files should contain regexable bits.
for _, contents in original_files:
assert "<RangeOfApplication" in contents
assert "<Fragment" in contents
# Result should not contain regexable bits.
for _, contents in results:
assert "<RangeOfApplication" not in contents
assert "<Fragment" not in contents
| 34.1875 | 56 | 0.721207 | 127 | 1,094 | 5.984252 | 0.251969 | 0.136842 | 0.094737 | 0.089474 | 0.884211 | 0.884211 | 0.834211 | 0.834211 | 0.834211 | 0.834211 | 0 | 0 | 0.209324 | 1,094 | 31 | 57 | 35.290323 | 0.878613 | 0.161792 | 0 | 0.421053 | 0 | 0 | 0.131579 | 0.046053 | 0 | 0 | 0 | 0 | 0.421053 | 1 | 0.105263 | false | 0 | 0.052632 | 0 | 0.157895 | 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 |
dc293f8b0d284636ad3c563d46b7403c67fa5fe9 | 27,080 | py | Python | test_python_toolbox/test_context_management/test_context_manager.py | hboshnak/python_toolbox | cb9ef64b48f1d03275484d707dc5079b6701ad0c | [
"MIT"
] | 119 | 2015-02-05T17:59:47.000Z | 2022-02-21T22:43:40.000Z | test_python_toolbox/test_context_management/test_context_manager.py | hboshnak/python_toolbox | cb9ef64b48f1d03275484d707dc5079b6701ad0c | [
"MIT"
] | 4 | 2019-04-24T14:01:14.000Z | 2020-05-21T12:03:29.000Z | test_python_toolbox/test_context_management/test_context_manager.py | hboshnak/python_toolbox | cb9ef64b48f1d03275484d707dc5079b6701ad0c | [
"MIT"
] | 14 | 2015-03-30T06:30:42.000Z | 2021-12-24T23:45:11.000Z | # Copyright 2009-2017 Ram Rachum.
# This program is distributed under the MIT license.
from __future__ import generator_stop
from python_toolbox import cute_testing
from python_toolbox.context_management import (ContextManager,
ContextManagerType,
SelfHook)
flag = None
exception_type_caught = None
def test_generator():
'''Test a context manager made from a generator.'''
@ContextManagerType
def MyContextManager(value):
global flag, exception_type_caught
former_value = flag
flag = value
try:
yield
finally:
flag = former_value
check_context_manager_type(MyContextManager,
self_returning=False,
error_catching=False)
def test_error_catching_generator():
'''Test an error-catching context manager made from a generator.'''
@ContextManagerType
def MyContextManager(value):
global flag, exception_type_caught
former_value = flag
flag = value
try:
yield
except Exception as exception:
exception_type_caught = type(exception)
finally:
flag = former_value
check_context_manager_type(MyContextManager,
self_returning=False,
error_catching=True)
def test_self_returning_generator():
'''Test a self-returning context manager made from a generator.'''
@ContextManagerType
def MyContextManager(value):
global flag, exception_type_caught
former_value = flag
flag = value
try:
yield SelfHook
finally:
flag = former_value
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=False)
def test_self_returning_error_catching_generator():
'''
Test a self-returning error-catching context manager made from a generator.
'''
@ContextManagerType
def MyContextManager(value):
global flag, exception_type_caught
former_value = flag
flag = value
try:
yield SelfHook
except Exception as exception:
exception_type_caught = type(exception)
finally:
flag = former_value
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=True)
def test_manage_context():
'''Test a context manager that uses a `manage_context` method.'''
class MyContextManager(ContextManager):
def __init__(self, value):
self.value = value
def manage_context(self):
global flag, exception_type_caught
former_value = flag
flag = self.value
try:
yield
finally:
flag = former_value
check_context_manager_type(MyContextManager,
self_returning=False,
error_catching=False)
def test_error_catching_manage_context():
'''Test an error-catching `manage_context`-powered context manager.'''
class MyContextManager(ContextManager):
def __init__(self, value):
self.value = value
def manage_context(self):
global flag, exception_type_caught
former_value = flag
flag = self.value
try:
yield
except Exception as exception:
exception_type_caught = type(exception)
finally:
flag = former_value
check_context_manager_type(MyContextManager,
self_returning=False,
error_catching=True)
def test_self_returning_manage_context():
'''Test a self-returning `manage_context`-powered context manager.'''
class MyContextManager(ContextManager):
def __init__(self, value):
self.value = value
def manage_context(self):
global flag
former_value = flag
flag = self.value
try:
yield self
finally:
flag = former_value
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=False)
def test_self_returning_error_catching_manage_context():
'''
Test a self-returning error-catching `manage_context` context manager.
'''
class MyContextManager(ContextManager):
def __init__(self, value):
self.value = value
def manage_context(self):
global flag, exception_type_caught
former_value = flag
flag = self.value
try:
yield self
except Exception as exception:
exception_type_caught = type(exception)
finally:
flag = former_value
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=True)
def test_manage_context_overriding_generator():
'''
Test a `manage_context` context manager overriding one made from generator.
'''
@ContextManagerType
def MyBaseContextManager(value):
raise Exception('This code is supposed to be overridden.')
yield
class MyContextManager(MyBaseContextManager):
def __init__(self, value):
self.value = value
def manage_context(self):
global flag, exception_type_caught
former_value = flag
flag = self.value
try:
yield self
except Exception as exception:
exception_type_caught = type(exception)
finally:
flag = former_value
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=True)
def test_manage_context_overriding_manage_context():
'''
Test a `manage_context`-powered context manager overriding another one.
'''
class MyBaseContextManager(ContextManager):
def __init__(self, value):
self.value = value
def manage_context(self):
raise Exception('This code is supposed to be overridden.')
yield
class MyContextManager(MyBaseContextManager):
def __init__(self, value):
self.value = value
def manage_context(self):
global flag, exception_type_caught
former_value = flag
flag = self.value
try:
yield self
except Exception as exception:
exception_type_caught = type(exception)
finally:
flag = former_value
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=True)
def test_manage_context_overriding_enter_exit():
'''
Test `manage_context` context manager overriding one made from enter/exit.
'''
class MyBaseContextManager(ContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __enter__(self):
raise Exception('This code is supposed to be overridden.')
def __exit__(self, exc_type, exc_value, exc_traceback):
raise Exception('This code is supposed to be overridden.')
class MyContextManager(MyBaseContextManager):
def __init__(self, value):
self.value = value
def manage_context(self):
global flag, exception_type_caught
former_value = flag
flag = self.value
try:
yield self
except Exception as exception:
exception_type_caught = type(exception)
finally:
flag = former_value
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=True)
def test_enter_exit():
'''Test an enter/exit context manager.'''
class MyContextManager(ContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __enter__(self):
global flag
self._former_values.append(flag)
flag = self.value
def __exit__(self, exc_type, exc_value, exc_traceback):
global flag
flag = self._former_values.pop()
check_context_manager_type(MyContextManager,
self_returning=False,
error_catching=False)
def test_error_catching_enter_exit():
'''Test an error-catching enter/exit context manager.'''
class MyContextManager(ContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __enter__(self):
global flag
self._former_values.append(flag)
flag = self.value
def __exit__(self, exc_type, exc_value, exc_traceback):
global flag, exception_type_caught
flag = self._former_values.pop()
if exc_type:
exception_type_caught = exc_type
return True
check_context_manager_type(MyContextManager,
self_returning=False,
error_catching=True)
def test_self_returning_enter_exit():
'''Test a self-returning enter/exit context manager.'''
class MyContextManager(ContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __enter__(self):
global flag
self._former_values.append(flag)
flag = self.value
return self
def __exit__(self, exc_type, exc_value, exc_traceback):
global flag
flag = self._former_values.pop()
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=False)
def test_error_catching_self_returning_enter_exit():
'''Test an error-catching self-returning enter/exit context manager.'''
class MyContextManager(ContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __enter__(self):
global flag
self._former_values.append(flag)
flag = self.value
return self
def __exit__(self, exc_type, exc_value, exc_traceback):
global flag, exception_type_caught
flag = self._former_values.pop()
if exc_type:
exception_type_caught = exc_type
return True
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=True)
def test_enter_exit_overriding_generator():
'''
Test an enter/exit context manager overriding one made from generator.
'''
@ContextManagerType
def MyBaseContextManager(value):
raise Exception('This code is supposed to be overridden.')
yield
class MyContextManager(MyBaseContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __enter__(self):
global flag
self._former_values.append(flag)
flag = self.value
return self
def __exit__(self, exc_type, exc_value, exc_traceback):
global flag, exception_type_caught
flag = self._former_values.pop()
if exc_type:
exception_type_caught = exc_type
return True
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=True)
def test_enter_exit_overriding_manage_context():
'''
Test enter/exit context manager overriding one made from `manage_context`.
'''
class MyBaseContextManager(ContextManager):
def __init__(self, value):
self.value = value
def manage_context(self):
raise Exception('This code is supposed to be overridden.')
yield
class MyContextManager(MyBaseContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __enter__(self):
global flag
self._former_values.append(flag)
flag = self.value
return self
def __exit__(self, exc_type, exc_value, exc_traceback):
global flag, exception_type_caught
flag = self._former_values.pop()
if exc_type:
exception_type_caught = exc_type
return True
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=True)
def test_enter_exit_overriding_enter_exit():
'''Test an enter/exit context manager overriding another one.'''
class MyBaseContextManager(ContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __enter__(self):
raise Exception('This code is supposed to be overridden.')
def __exit__(self, exc_type, exc_value, exc_traceback):
raise Exception('This code is supposed to be overridden.')
class MyContextManager(MyBaseContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __enter__(self):
global flag
self._former_values.append(flag)
flag = self.value
return self
def __exit__(self, exc_type, exc_value, exc_traceback):
global flag, exception_type_caught
flag = self._former_values.pop()
if exc_type:
exception_type_caught = exc_type
return True
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=True)
def test_enter_subclassing_exit():
'''
Test one defining `__enter__` subclassing from one that defines `__exit__`.
'''
class MyBaseContextManager(ContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __exit__(self, exc_type, exc_value, exc_traceback):
global flag, exception_type_caught
flag = self._former_values.pop()
if exc_type:
exception_type_caught = exc_type
return True
class MyContextManager(MyBaseContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __enter__(self):
global flag
self._former_values.append(flag)
flag = self.value
return self
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=True)
def test_exit_subclassing_enter():
'''
Test one defining `__exit__` subclassing from one that defines `__enter__`.
'''
class MyBaseContextManager(ContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __enter__(self):
global flag
self._former_values.append(flag)
flag = self.value
return self
class MyContextManager(MyBaseContextManager):
def __init__(self, value):
self.value = value
self._former_values = []
def __exit__(self, exc_type, exc_value, exc_traceback):
global flag, exception_type_caught
flag = self._former_values.pop()
if exc_type:
exception_type_caught = exc_type
return True
check_context_manager_type(MyContextManager,
self_returning=True,
error_catching=True)
def check_context_manager_type(context_manager_type,
self_returning,
error_catching):
'''
Run checks on a context manager.
`self_returning` is a flag saying whether the context manager's `__enter__`
method returns itself. (For the `as` keyword after `with`.)
`error_catching` says whether the context manager catches exceptions it
gets and updates the `exception_type_caught` global.
'''
global flag, exception_type_caught
assert flag is None
assert exception_type_caught is None
### Testing simple case: ##################################################
# #
with context_manager_type(7) as return_value:
assert flag == 7
if self_returning:
assert isinstance(return_value, context_manager_type)
else: # self_returning is False
assert return_value is None
# #
### Finished testing simple case. #########################################
assert flag is None
assert exception_type_caught is None
### Testing creating context manager before `with`: #######################
# #
my_context_manager = context_manager_type(1.1)
assert isinstance(my_context_manager, context_manager_type)
with my_context_manager as return_value:
assert flag == 1.1
if self_returning:
assert return_value is my_context_manager
else: # self_returning is False
assert return_value is None
# #
### Finished testing creating context manager before `with`. ##############
assert flag is None
assert exception_type_caught is None
### Testing decorated function: ###########################################
# #
@context_manager_type('meow')
def f():
assert flag == 'meow'
f()
assert flag is None
assert exception_type_caught is None
# #
### Finished testing decorated function. ##################################
### Testing manually decorated function: ##################################
# #
def g(a, b=2, **kwargs):
assert flag == 'meow'
new_g = context_manager_type('meow')(g)
with cute_testing.RaiseAssertor(AssertionError):
g('whatever')
assert flag is None
assert exception_type_caught is None
new_g('whatever')
assert flag is None
assert exception_type_caught is None
cute_testing.assert_polite_wrapper(new_g, g)
# #
### Finished testing manually decorated function. #########################
### Testing deep nesting: #################################################
# #
my_context_manager = context_manager_type(123)
assert flag is None
with my_context_manager:
assert flag == 123
with my_context_manager:
assert flag == 123
with my_context_manager:
assert flag == 123
with my_context_manager:
assert flag == 123
with my_context_manager:
assert flag == 123
assert flag == 123
assert flag == 123
assert flag == 123
assert flag == 123
assert flag is None
with context_manager_type(1) as return_value_1:
assert flag == 1
with context_manager_type(2) as return_value_2:
assert flag == 2
with return_value_1 or context_manager_type(1):
assert flag == 1
assert flag == 2
assert flag == 1
assert flag is None
# #
### Finished testing deep nesting. ########################################
###########################################################################
###########################################################################
### Now while raising exceptions:
### Testing simple case: ##################################################
# #
try:
with context_manager_type(7) as return_value:
assert flag == 7
if self_returning:
assert isinstance(return_value, context_manager_type)
else: # self_returning is False
assert return_value is None
raise TypeError('ooga booga')
except Exception as exception:
assert not error_catching
assert type(exception) is TypeError
else:
assert error_catching
assert exception_type_caught is TypeError
exception_type_caught = None
# #
### Finished testing simple case. #########################################
assert flag is None
### Testing creating context manager before `with`: #######################
# #
my_context_manager = context_manager_type(1.1)
assert isinstance(my_context_manager, context_manager_type)
try:
with my_context_manager as return_value:
assert flag == 1.1
if self_returning:
assert return_value is my_context_manager
else: # self_returning is False
assert return_value is None
{}[3]
except Exception as exception:
assert not error_catching
assert exception_type_caught is None
assert type(exception) is KeyError
else:
assert error_catching
assert exception_type_caught is KeyError
exception_type_caught = None
# #
### Finished testing creating context manager before `with`. ##############
assert flag is None
assert exception_type_caught is None
### Testing decorated function: ###########################################
# #
@context_manager_type('meow')
def f():
assert flag == 'meow'
1/0
try:
f()
except Exception as exception:
assert not error_catching
assert exception_type_caught is None
assert type(exception) is ZeroDivisionError
else:
assert error_catching
assert exception_type_caught is ZeroDivisionError
exception_type_caught = None
# #
### Finished testing decorated function. ##################################
assert flag is None
exception_type_caught = None
### Testing manually decorated function: ##################################
# #
def g(a, b=2, **kwargs):
assert flag == 'meow'
eval('Ooga booga I am a syntax error.')
with cute_testing.RaiseAssertor(AssertionError):
g('whatever')
assert flag is None
assert exception_type_caught is None
new_g = context_manager_type('meow')(g)
assert flag is None
assert exception_type_caught is None
cute_testing.assert_polite_wrapper(new_g, g)
try:
new_g('whatever')
except Exception as exception:
assert not error_catching
assert exception_type_caught is None
assert type(exception) is SyntaxError
else:
assert error_catching
assert exception_type_caught is SyntaxError
exception_type_caught = None
# #
### Finished testing manually decorated function. ########################
### Testing deep nesting: #################################################
# #
my_context_manager = context_manager_type(123)
assert flag is None
try:
with my_context_manager:
assert flag == 123
with my_context_manager:
assert flag == 123
with my_context_manager:
assert flag == 123
with my_context_manager:
assert flag == 123
with my_context_manager:
assert flag == 123
raise LookupError
assert flag == 123
assert flag == 123
assert flag == 123
assert flag == 123
except Exception as exception:
assert not error_catching
assert exception_type_caught is None
assert type(exception) is LookupError
else:
assert error_catching
assert exception_type_caught is LookupError
exception_type_caught = None
assert flag is None
try:
with context_manager_type(1) as return_value_1:
assert flag == 1
with context_manager_type(2) as return_value_2:
assert flag == 2
with return_value_1 or context_manager_type(1):
assert flag == 1
raise NotImplementedError
assert flag == 2
assert flag == 1
except Exception as exception:
assert not error_catching
assert exception_type_caught is None
assert type(exception) is NotImplementedError
else:
assert error_catching
assert exception_type_caught is NotImplementedError
exception_type_caught = None
assert flag is None
# #
### Finished testing deep nesting. ########################################
| 32.984166 | 79 | 0.54243 | 2,536 | 27,080 | 5.476735 | 0.059148 | 0.087695 | 0.083447 | 0.025344 | 0.919433 | 0.899129 | 0.875369 | 0.870401 | 0.849521 | 0.817625 | 0 | 0.006281 | 0.370938 | 27,080 | 820 | 80 | 33.02439 | 0.80904 | 0.147194 | 0 | 0.917688 | 0 | 0 | 0.019034 | 0 | 0 | 0 | 0 | 0 | 0.183888 | 1 | 0.14711 | false | 0 | 0.005254 | 0 | 0.215412 | 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 |
dc2d409b4b116fa166f20eef9672181262358155 | 105,119 | py | Python | huaweicloud-sdk-sdrs/huaweicloudsdksdrs/v1/sdrs_client.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 64 | 2020-06-12T07:05:07.000Z | 2022-03-30T03:32:50.000Z | huaweicloud-sdk-sdrs/huaweicloudsdksdrs/v1/sdrs_client.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 11 | 2020-07-06T07:56:54.000Z | 2022-01-11T11:14:40.000Z | huaweicloud-sdk-sdrs/huaweicloudsdksdrs/v1/sdrs_client.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 24 | 2020-06-08T11:42:13.000Z | 2022-03-04T06:44:08.000Z | # coding: utf-8
from __future__ import absolute_import
import datetime
import re
import importlib
import six
from huaweicloudsdkcore.client import Client, ClientBuilder
from huaweicloudsdkcore.exceptions import exceptions
from huaweicloudsdkcore.utils import http_utils
from huaweicloudsdkcore.sdk_stream_request import SdkStreamRequest
class SdrsClient(Client):
"""
:param configuration: .Configuration object for this client
:param pool_threads: The number of threads to use for async requests
to the API. More threads means more concurrent API requests.
"""
PRIMITIVE_TYPES = (float, bool, bytes, six.text_type) + six.integer_types
NATIVE_TYPES_MAPPING = {
'int': int,
'long': int if six.PY3 else long,
'float': float,
'str': str,
'bool': bool,
'date': datetime.date,
'datetime': datetime.datetime,
'object': object,
}
def __init__(self):
super(SdrsClient, self).__init__()
self.model_package = importlib.import_module("huaweicloudsdksdrs.v1.model")
self.preset_headers = {'User-Agent': 'HuaweiCloud-SDK-Python'}
@classmethod
def new_builder(cls, clazz=None):
if clazz is None:
return ClientBuilder(cls)
if clazz.__name__ != "SdrsClient":
raise TypeError("client type error, support client type is SdrsClient")
return ClientBuilder(clazz)
def add_protected_instance_nic(self, request):
"""保护实例添加网卡
给指定的保护实例添加网卡。
:param AddProtectedInstanceNicRequest request
:return: AddProtectedInstanceNicResponse
"""
return self.add_protected_instance_nic_with_http_info(request)
def add_protected_instance_nic_with_http_info(self, request):
"""保护实例添加网卡
给指定的保护实例添加网卡。
:param AddProtectedInstanceNicRequest request
:return: AddProtectedInstanceNicResponse
"""
all_params = ['protected_instance_id', 'protected_instance_add_nic_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}/nic',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='AddProtectedInstanceNicResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def add_protected_instance_tags(self, request):
"""添加保护实例标签
一个保护实例上最多有10个标签。此接口为幂等接口：创建时，如果创建的标签已经存在（key相同），则覆盖。
:param AddProtectedInstanceTagsRequest request
:return: AddProtectedInstanceTagsResponse
"""
return self.add_protected_instance_tags_with_http_info(request)
def add_protected_instance_tags_with_http_info(self, request):
"""添加保护实例标签
一个保护实例上最多有10个标签。此接口为幂等接口：创建时，如果创建的标签已经存在（key相同），则覆盖。
:param AddProtectedInstanceTagsRequest request
:return: AddProtectedInstanceTagsResponse
"""
all_params = ['protected_instance_id', 'protected_instance_add_tags_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}/tags',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='AddProtectedInstanceTagsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def attach_protected_instance_replication(self, request):
"""保护实例挂载复制对
将指定的复制对挂载到指定的保护实例上。
:param AttachProtectedInstanceReplicationRequest request
:return: AttachProtectedInstanceReplicationResponse
"""
return self.attach_protected_instance_replication_with_http_info(request)
def attach_protected_instance_replication_with_http_info(self, request):
"""保护实例挂载复制对
将指定的复制对挂载到指定的保护实例上。
:param AttachProtectedInstanceReplicationRequest request
:return: AttachProtectedInstanceReplicationResponse
"""
all_params = ['protected_instance_id', 'protected_instance_attach_replication_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}/attachreplication',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='AttachProtectedInstanceReplicationResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def batch_add_tags(self, request):
"""批量添加保护实例标签
为指定保护实例批量添加或删除标签。一个资源上最多有10个标签。 此接口为幂等接口： 创建时如果请求体中存在重复key则报错。 创建时，不允许设置重复key数据,如果数据库已存在该key，就覆盖value的值。
:param BatchAddTagsRequest request
:return: BatchAddTagsResponse
"""
return self.batch_add_tags_with_http_info(request)
def batch_add_tags_with_http_info(self, request):
"""批量添加保护实例标签
为指定保护实例批量添加或删除标签。一个资源上最多有10个标签。 此接口为幂等接口： 创建时如果请求体中存在重复key则报错。 创建时，不允许设置重复key数据,如果数据库已存在该key，就覆盖value的值。
:param BatchAddTagsRequest request
:return: BatchAddTagsResponse
"""
all_params = ['protected_instance_id', 'batch_add_or_delete_tags_request']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}/tags/action',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='BatchAddTagsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def batch_create_protected_instances(self, request):
"""批量创建保护实例
典型场景：没有特殊操作场景 接口功能：批量创建保护实例。保护实例创建完成后，系统默认容灾站点云服务器名称与生产站点云服务器名称相同，但ID不同。
:param BatchCreateProtectedInstancesRequest request
:return: BatchCreateProtectedInstancesResponse
"""
return self.batch_create_protected_instances_with_http_info(request)
def batch_create_protected_instances_with_http_info(self, request):
"""批量创建保护实例
典型场景：没有特殊操作场景 接口功能：批量创建保护实例。保护实例创建完成后，系统默认容灾站点云服务器名称与生产站点云服务器名称相同，但ID不同。
:param BatchCreateProtectedInstancesRequest request
:return: BatchCreateProtectedInstancesResponse
"""
all_params = ['batch_create_protected_instances_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/batch',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='BatchCreateProtectedInstancesResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def batch_delete_protected_instances(self, request):
"""批量删除保护实例
典型场景：没有特殊操作场景 接口功能：批量删除保护实例。
:param BatchDeleteProtectedInstancesRequest request
:return: BatchDeleteProtectedInstancesResponse
"""
return self.batch_delete_protected_instances_with_http_info(request)
def batch_delete_protected_instances_with_http_info(self, request):
"""批量删除保护实例
典型场景：没有特殊操作场景 接口功能：批量删除保护实例。
:param BatchDeleteProtectedInstancesRequest request
:return: BatchDeleteProtectedInstancesResponse
"""
all_params = ['batch_delete_protected_instances_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/delete',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='BatchDeleteProtectedInstancesResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def batch_delete_tags(self, request):
"""批量删除保护实例标签
为指定保护实例批量删除标签。一个资源上最多有10个标签。 此接口为幂等接口： 删除时，如果删除的标签不存在，默认处理成功,删除时不对标签字符集范围做校验。删除时tags结构体不能缺失，key不能为空，或者空字符串。
:param BatchDeleteTagsRequest request
:return: BatchDeleteTagsResponse
"""
return self.batch_delete_tags_with_http_info(request)
def batch_delete_tags_with_http_info(self, request):
"""批量删除保护实例标签
为指定保护实例批量删除标签。一个资源上最多有10个标签。 此接口为幂等接口： 删除时，如果删除的标签不存在，默认处理成功,删除时不对标签字符集范围做校验。删除时tags结构体不能缺失，key不能为空，或者空字符串。
:param BatchDeleteTagsRequest request
:return: BatchDeleteTagsResponse
"""
all_params = ['protected_instance_id', 'batch_add_or_delete_tags_request']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}/tags/action',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='BatchDeleteTagsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_disaster_recovery_drill(self, request):
"""创建容灾演练
创建容灾演练。
:param CreateDisasterRecoveryDrillRequest request
:return: CreateDisasterRecoveryDrillResponse
"""
return self.create_disaster_recovery_drill_with_http_info(request)
def create_disaster_recovery_drill_with_http_info(self, request):
"""创建容灾演练
创建容灾演练。
:param CreateDisasterRecoveryDrillRequest request
:return: CreateDisasterRecoveryDrillResponse
"""
all_params = ['create_disaster_recovery_drill_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/disaster-recovery-drills',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateDisasterRecoveryDrillResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_protected_instance(self, request):
"""创建保护实例
创建保护实例。保护实例创建完成后，系统默认容灾站点云服务器名称与生产站点云服务器名称相同，但ID不同。如果需要修改云服务器名称，请在保护实例详情页面单击云服务器名称，进入云服务器详情页面进行修改
:param CreateProtectedInstanceRequest request
:return: CreateProtectedInstanceResponse
"""
return self.create_protected_instance_with_http_info(request)
def create_protected_instance_with_http_info(self, request):
"""创建保护实例
创建保护实例。保护实例创建完成后，系统默认容灾站点云服务器名称与生产站点云服务器名称相同，但ID不同。如果需要修改云服务器名称，请在保护实例详情页面单击云服务器名称，进入云服务器详情页面进行修改
:param CreateProtectedInstanceRequest request
:return: CreateProtectedInstanceResponse
"""
all_params = ['create_protected_instance_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateProtectedInstanceResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_protection_group(self, request):
"""创建保护组
创建保护组。 说明： 本接口为异步接口，调用成功只是表示请求下发，创建结果需要通过“查询job状态”接口获取
:param CreateProtectionGroupRequest request
:return: CreateProtectionGroupResponse
"""
return self.create_protection_group_with_http_info(request)
def create_protection_group_with_http_info(self, request):
"""创建保护组
创建保护组。 说明： 本接口为异步接口，调用成功只是表示请求下发，创建结果需要通过“查询job状态”接口获取
:param CreateProtectionGroupRequest request
:return: CreateProtectionGroupResponse
"""
all_params = ['create_protection_group_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/server-groups',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateProtectionGroupResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def create_replication(self, request):
"""创建复制对
创建复制对，并将其添加到指定的保护组中。
:param CreateReplicationRequest request
:return: CreateReplicationResponse
"""
return self.create_replication_with_http_info(request)
def create_replication_with_http_info(self, request):
"""创建复制对
创建复制对，并将其添加到指定的保护组中。
:param CreateReplicationRequest request
:return: CreateReplicationResponse
"""
all_params = ['create_replication_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/replications',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='CreateReplicationResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_all_server_group_failure_jobs(self, request):
"""删除所有保护组失败任务
删除所有保护组层级的失败任务，创建、删除保护组失败等。
:param DeleteAllServerGroupFailureJobsRequest request
:return: DeleteAllServerGroupFailureJobsResponse
"""
return self.delete_all_server_group_failure_jobs_with_http_info(request)
def delete_all_server_group_failure_jobs_with_http_info(self, request):
"""删除所有保护组失败任务
删除所有保护组层级的失败任务，创建、删除保护组失败等。
:param DeleteAllServerGroupFailureJobsRequest request
:return: DeleteAllServerGroupFailureJobsResponse
"""
all_params = []
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/task-center/failure-jobs/batch',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteAllServerGroupFailureJobsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_disaster_recovery_drill(self, request):
"""删除容灾演练
删除指定的容灾演练。删除后： 容灾演练服务器、容灾演练服务器上挂载的磁盘和网卡将被一并删除。 演练VPC、演练VPC的子网不会被删除。您可以继续使用该VPC创建其他云服务器。
:param DeleteDisasterRecoveryDrillRequest request
:return: DeleteDisasterRecoveryDrillResponse
"""
return self.delete_disaster_recovery_drill_with_http_info(request)
def delete_disaster_recovery_drill_with_http_info(self, request):
"""删除容灾演练
删除指定的容灾演练。删除后： 容灾演练服务器、容灾演练服务器上挂载的磁盘和网卡将被一并删除。 演练VPC、演练VPC的子网不会被删除。您可以继续使用该VPC创建其他云服务器。
:param DeleteDisasterRecoveryDrillRequest request
:return: DeleteDisasterRecoveryDrillResponse
"""
all_params = ['disaster_recovery_drill_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'disaster_recovery_drill_id' in local_var_params:
path_params['disaster_recovery_drill_id'] = local_var_params['disaster_recovery_drill_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/disaster-recovery-drills/{disaster_recovery_drill_id}',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteDisasterRecoveryDrillResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_failure_job(self, request):
"""删除单个失败任务
删除单个失败任务。
:param DeleteFailureJobRequest request
:return: DeleteFailureJobResponse
"""
return self.delete_failure_job_with_http_info(request)
def delete_failure_job_with_http_info(self, request):
"""删除单个失败任务
删除单个失败任务。
:param DeleteFailureJobRequest request
:return: DeleteFailureJobResponse
"""
all_params = ['failure_job_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'failure_job_id' in local_var_params:
path_params['failure_job_id'] = local_var_params['failure_job_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/task-center/failure-jobs/{failure_job_id}',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteFailureJobResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_protected_instance(self, request):
"""删除保护实例
删除指定的保护实例。
:param DeleteProtectedInstanceRequest request
:return: DeleteProtectedInstanceResponse
"""
return self.delete_protected_instance_with_http_info(request)
def delete_protected_instance_with_http_info(self, request):
"""删除保护实例
删除指定的保护实例。
:param DeleteProtectedInstanceRequest request
:return: DeleteProtectedInstanceResponse
"""
all_params = ['protected_instance_id', 'delete_protected_instance_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteProtectedInstanceResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_protected_instance_nic(self, request):
"""保护实例删除网卡
删除指定保护实例的指定网卡。
:param DeleteProtectedInstanceNicRequest request
:return: DeleteProtectedInstanceNicResponse
"""
return self.delete_protected_instance_nic_with_http_info(request)
def delete_protected_instance_nic_with_http_info(self, request):
"""保护实例删除网卡
删除指定保护实例的指定网卡。
:param DeleteProtectedInstanceNicRequest request
:return: DeleteProtectedInstanceNicResponse
"""
all_params = ['protected_instance_id', 'protected_instance_delete_nic_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}/nic/delete',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteProtectedInstanceNicResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_protected_instance_tag(self, request):
"""删除保护实例标签
幂等接口：删除时，不对标签字符集做校验，调用接口前必须要做encodeURI，服务端需要对接口URI做decodeURI。 说明:请自行选择工具执行URI编码。 删除的key不存在报404，Key不能为空或者空字符串。
:param DeleteProtectedInstanceTagRequest request
:return: DeleteProtectedInstanceTagResponse
"""
return self.delete_protected_instance_tag_with_http_info(request)
def delete_protected_instance_tag_with_http_info(self, request):
"""删除保护实例标签
幂等接口：删除时，不对标签字符集做校验，调用接口前必须要做encodeURI，服务端需要对接口URI做decodeURI。 说明:请自行选择工具执行URI编码。 删除的key不存在报404，Key不能为空或者空字符串。
:param DeleteProtectedInstanceTagRequest request
:return: DeleteProtectedInstanceTagResponse
"""
all_params = ['protected_instance_id', 'key']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
if 'key' in local_var_params:
path_params['key'] = local_var_params['key']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}/tags/{key}',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteProtectedInstanceTagResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_protection_group(self, request):
"""删除保护组
删除指定的保护组。
:param DeleteProtectionGroupRequest request
:return: DeleteProtectionGroupResponse
"""
return self.delete_protection_group_with_http_info(request)
def delete_protection_group_with_http_info(self, request):
"""删除保护组
删除指定的保护组。
:param DeleteProtectionGroupRequest request
:return: DeleteProtectionGroupResponse
"""
all_params = ['server_group_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'server_group_id' in local_var_params:
path_params['server_group_id'] = local_var_params['server_group_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/server-groups/{server_group_id}',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteProtectionGroupResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_replication(self, request):
"""删除复制对
删除指定的复制对。
:param DeleteReplicationRequest request
:return: DeleteReplicationResponse
"""
return self.delete_replication_with_http_info(request)
def delete_replication_with_http_info(self, request):
"""删除复制对
删除指定的复制对。
:param DeleteReplicationRequest request
:return: DeleteReplicationResponse
"""
all_params = ['replication_id', 'delete_replication_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'replication_id' in local_var_params:
path_params['replication_id'] = local_var_params['replication_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/replications/{replication_id}',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteReplicationResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def delete_server_group_failure_jobs(self, request):
"""删除指定保护组内的所有失败任务
删除指定保护组内的所有失败任务，创建保护实例失败、创建复制对失败、删除保护实例失败、删除复制对失败等。
:param DeleteServerGroupFailureJobsRequest request
:return: DeleteServerGroupFailureJobsResponse
"""
return self.delete_server_group_failure_jobs_with_http_info(request)
def delete_server_group_failure_jobs_with_http_info(self, request):
"""删除指定保护组内的所有失败任务
删除指定保护组内的所有失败任务，创建保护实例失败、创建复制对失败、删除保护实例失败、删除复制对失败等。
:param DeleteServerGroupFailureJobsRequest request
:return: DeleteServerGroupFailureJobsResponse
"""
all_params = ['server_group_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'server_group_id' in local_var_params:
path_params['server_group_id'] = local_var_params['server_group_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/task-center/{server_group_id}/failure-jobs/batch',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DeleteServerGroupFailureJobsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def detach_protected_instance_replication(self, request):
"""保护实例卸载复制对
将指定的复制对从指定的保护实例上卸载。
:param DetachProtectedInstanceReplicationRequest request
:return: DetachProtectedInstanceReplicationResponse
"""
return self.detach_protected_instance_replication_with_http_info(request)
def detach_protected_instance_replication_with_http_info(self, request):
"""保护实例卸载复制对
将指定的复制对从指定的保护实例上卸载。
:param DetachProtectedInstanceReplicationRequest request
:return: DetachProtectedInstanceReplicationResponse
"""
all_params = ['protected_instance_id', 'replication_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
if 'replication_id' in local_var_params:
path_params['replication_id'] = local_var_params['replication_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}/detachreplication/{replication_id}',
method='DELETE',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='DetachProtectedInstanceReplicationResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def expand_replication(self, request):
"""复制对扩容
对复制对包含的两个磁盘进行扩容操作。
:param ExpandReplicationRequest request
:return: ExpandReplicationResponse
"""
return self.expand_replication_with_http_info(request)
def expand_replication_with_http_info(self, request):
"""复制对扩容
对复制对包含的两个磁盘进行扩容操作。
:param ExpandReplicationRequest request
:return: ExpandReplicationResponse
"""
all_params = ['replication_id', 'extend_replication_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'replication_id' in local_var_params:
path_params['replication_id'] = local_var_params['replication_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/replications/{replication_id}/action',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ExpandReplicationResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_active_active_domains(self, request):
"""查询双活域
查询双活域。双活域由本端存储设备、远端存储设备组成，通过双活域，应用服务器可以实现跨站点的数据访问。
:param ListActiveActiveDomainsRequest request
:return: ListActiveActiveDomainsResponse
"""
return self.list_active_active_domains_with_http_info(request)
def list_active_active_domains_with_http_info(self, request):
"""查询双活域
查询双活域。双活域由本端存储设备、远端存储设备组成，通过双活域，应用服务器可以实现跨站点的数据访问。
:param ListActiveActiveDomainsRequest request
:return: ListActiveActiveDomainsResponse
"""
all_params = []
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/active-domains',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListActiveActiveDomainsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_disaster_recovery_drills(self, request):
"""查询容灾演练列表
查询指定保护组下的所有容灾演练列表，当未指定保护组时查询当前租户下的所有容灾演练列表。
:param ListDisasterRecoveryDrillsRequest request
:return: ListDisasterRecoveryDrillsResponse
"""
return self.list_disaster_recovery_drills_with_http_info(request)
def list_disaster_recovery_drills_with_http_info(self, request):
"""查询容灾演练列表
查询指定保护组下的所有容灾演练列表，当未指定保护组时查询当前租户下的所有容灾演练列表。
:param ListDisasterRecoveryDrillsRequest request
:return: ListDisasterRecoveryDrillsResponse
"""
all_params = ['server_group_id', 'name', 'status', 'drill_vpc_id', 'limit', 'offset']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
if 'server_group_id' in local_var_params:
query_params.append(('server_group_id', local_var_params['server_group_id']))
if 'name' in local_var_params:
query_params.append(('name', local_var_params['name']))
if 'status' in local_var_params:
query_params.append(('status', local_var_params['status']))
if 'drill_vpc_id' in local_var_params:
query_params.append(('drill_vpc_id', local_var_params['drill_vpc_id']))
if 'limit' in local_var_params:
query_params.append(('limit', local_var_params['limit']))
if 'offset' in local_var_params:
query_params.append(('offset', local_var_params['offset']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/disaster-recovery-drills',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListDisasterRecoveryDrillsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_failure_jobs(self, request):
"""查询失败任务列表
查询所有保护组失败任务列表或者指定保护组下的所有失败任务列表。
:param ListFailureJobsRequest request
:return: ListFailureJobsResponse
"""
return self.list_failure_jobs_with_http_info(request)
def list_failure_jobs_with_http_info(self, request):
"""查询失败任务列表
查询所有保护组失败任务列表或者指定保护组下的所有失败任务列表。
:param ListFailureJobsRequest request
:return: ListFailureJobsResponse
"""
all_params = ['failure_status', 'resource_name', 'server_group_id', 'resource_type', 'limit', 'offset']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
if 'failure_status' in local_var_params:
query_params.append(('failure_status', local_var_params['failure_status']))
if 'resource_name' in local_var_params:
query_params.append(('resource_name', local_var_params['resource_name']))
if 'server_group_id' in local_var_params:
query_params.append(('server_group_id', local_var_params['server_group_id']))
if 'resource_type' in local_var_params:
query_params.append(('resource_type', local_var_params['resource_type']))
if 'limit' in local_var_params:
query_params.append(('limit', local_var_params['limit']))
if 'offset' in local_var_params:
query_params.append(('offset', local_var_params['offset']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/task-center/failure-jobs',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListFailureJobsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_protected_instance_tags(self, request):
"""查询保护实例标签
查询指定保护实例的标签信息。
:param ListProtectedInstanceTagsRequest request
:return: ListProtectedInstanceTagsResponse
"""
return self.list_protected_instance_tags_with_http_info(request)
def list_protected_instance_tags_with_http_info(self, request):
"""查询保护实例标签
查询指定保护实例的标签信息。
:param ListProtectedInstanceTagsRequest request
:return: ListProtectedInstanceTagsResponse
"""
all_params = ['protected_instance_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}/tags',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListProtectedInstanceTagsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_protected_instances(self, request):
"""查询保护实例列表
查询当前租户下的所有保护实例列表。
:param ListProtectedInstancesRequest request
:return: ListProtectedInstancesResponse
"""
return self.list_protected_instances_with_http_info(request)
def list_protected_instances_with_http_info(self, request):
"""查询保护实例列表
查询当前租户下的所有保护实例列表。
:param ListProtectedInstancesRequest request
:return: ListProtectedInstancesResponse
"""
all_params = ['server_group_id', 'server_group_ids', 'protected_instance_ids', 'limit', 'offset', 'status', 'name', 'query_type', 'availability_zone']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
if 'server_group_id' in local_var_params:
query_params.append(('server_group_id', local_var_params['server_group_id']))
if 'server_group_ids' in local_var_params:
query_params.append(('server_group_ids', local_var_params['server_group_ids']))
if 'protected_instance_ids' in local_var_params:
query_params.append(('protected_instance_ids', local_var_params['protected_instance_ids']))
if 'limit' in local_var_params:
query_params.append(('limit', local_var_params['limit']))
if 'offset' in local_var_params:
query_params.append(('offset', local_var_params['offset']))
if 'status' in local_var_params:
query_params.append(('status', local_var_params['status']))
if 'name' in local_var_params:
query_params.append(('name', local_var_params['name']))
if 'query_type' in local_var_params:
query_params.append(('query_type', local_var_params['query_type']))
if 'availability_zone' in local_var_params:
query_params.append(('availability_zone', local_var_params['availability_zone']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListProtectedInstancesResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_protected_instances_by_tags(self, request):
"""通过标签查询保护实例
使用标签过滤保护实例
:param ListProtectedInstancesByTagsRequest request
:return: ListProtectedInstancesByTagsResponse
"""
return self.list_protected_instances_by_tags_with_http_info(request)
def list_protected_instances_by_tags_with_http_info(self, request):
"""通过标签查询保护实例
使用标签过滤保护实例
:param ListProtectedInstancesByTagsRequest request
:return: ListProtectedInstancesByTagsResponse
"""
all_params = ['list_protected_instances_by_tags_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/resource_instances/action',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListProtectedInstancesByTagsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_protected_instances_project_tags(self, request):
"""查询保护实例项目标签
查询租户在指定Project中保护实例的所有资源标签集合。
:param ListProtectedInstancesProjectTagsRequest request
:return: ListProtectedInstancesProjectTagsResponse
"""
return self.list_protected_instances_project_tags_with_http_info(request)
def list_protected_instances_project_tags_with_http_info(self, request):
"""查询保护实例项目标签
查询租户在指定Project中保护实例的所有资源标签集合。
:param ListProtectedInstancesProjectTagsRequest request
:return: ListProtectedInstancesProjectTagsResponse
"""
all_params = []
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/tags',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListProtectedInstancesProjectTagsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_protection_groups(self, request):
"""查询保护组列表
查询当前租户所有的保护组列表。
:param ListProtectionGroupsRequest request
:return: ListProtectionGroupsResponse
"""
return self.list_protection_groups_with_http_info(request)
def list_protection_groups_with_http_info(self, request):
"""查询保护组列表
查询当前租户所有的保护组列表。
:param ListProtectionGroupsRequest request
:return: ListProtectionGroupsResponse
"""
all_params = ['limit', 'offset', 'status', 'name', 'query_type', 'availability_zone']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
if 'limit' in local_var_params:
query_params.append(('limit', local_var_params['limit']))
if 'offset' in local_var_params:
query_params.append(('offset', local_var_params['offset']))
if 'status' in local_var_params:
query_params.append(('status', local_var_params['status']))
if 'name' in local_var_params:
query_params.append(('name', local_var_params['name']))
if 'query_type' in local_var_params:
query_params.append(('query_type', local_var_params['query_type']))
if 'availability_zone' in local_var_params:
query_params.append(('availability_zone', local_var_params['availability_zone']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/server-groups',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListProtectionGroupsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_replications(self, request):
"""查询复制对列表
查询指定保护组下的所有复制对列表，如果不给定指定保护组则查询当前租户下的所有复制对列表。
:param ListReplicationsRequest request
:return: ListReplicationsResponse
"""
return self.list_replications_with_http_info(request)
def list_replications_with_http_info(self, request):
"""查询复制对列表
查询指定保护组下的所有复制对列表，如果不给定指定保护组则查询当前租户下的所有复制对列表。
:param ListReplicationsRequest request
:return: ListReplicationsResponse
"""
all_params = ['server_group_id', 'server_group_ids', 'protected_instance_id', 'protected_instance_ids', 'name', 'status', 'limit', 'offset', 'query_type', 'availability_zone']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
if 'server_group_id' in local_var_params:
query_params.append(('server_group_id', local_var_params['server_group_id']))
if 'server_group_ids' in local_var_params:
query_params.append(('server_group_ids', local_var_params['server_group_ids']))
if 'protected_instance_id' in local_var_params:
query_params.append(('protected_instance_id', local_var_params['protected_instance_id']))
if 'protected_instance_ids' in local_var_params:
query_params.append(('protected_instance_ids', local_var_params['protected_instance_ids']))
if 'name' in local_var_params:
query_params.append(('name', local_var_params['name']))
if 'status' in local_var_params:
query_params.append(('status', local_var_params['status']))
if 'limit' in local_var_params:
query_params.append(('limit', local_var_params['limit']))
if 'offset' in local_var_params:
query_params.append(('offset', local_var_params['offset']))
if 'query_type' in local_var_params:
query_params.append(('query_type', local_var_params['query_type']))
if 'availability_zone' in local_var_params:
query_params.append(('availability_zone', local_var_params['availability_zone']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/replications',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListReplicationsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_rpo_statistics(self, request):
"""查询资源的RPO超标趋势记录列表
查询当前租户大屏显示中，资源的RPO超标趋势记录列表。
:param ListRpoStatisticsRequest request
:return: ListRpoStatisticsResponse
"""
return self.list_rpo_statistics_with_http_info(request)
def list_rpo_statistics_with_http_info(self, request):
"""查询资源的RPO超标趋势记录列表
查询当前租户大屏显示中，资源的RPO超标趋势记录列表。
:param ListRpoStatisticsRequest request
:return: ListRpoStatisticsResponse
"""
all_params = ['limit', 'offset', 'start_time', 'end_time', 'resource_type']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
if 'limit' in local_var_params:
query_params.append(('limit', local_var_params['limit']))
if 'offset' in local_var_params:
query_params.append(('offset', local_var_params['offset']))
if 'start_time' in local_var_params:
query_params.append(('start_time', local_var_params['start_time']))
if 'end_time' in local_var_params:
query_params.append(('end_time', local_var_params['end_time']))
if 'resource_type' in local_var_params:
query_params.append(('resource_type', local_var_params['resource_type']))
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/resource/rpo-statistics',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListRpoStatisticsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def resize_protected_instance(self, request):
"""保护实例变更规格
变更指定保护实例中弹性云服务器的规格，包括：同时变更生产站点云服务器和容灾站点云服务器的规格。 仅变更生产站点云服务器的规格，容灾站点云服务器规格不变。 生产站点云服务器规格不变，仅变更容灾站点云服务器的规格。 当且仅当待变更规格的云服务器处于关机状态时，才能执行此操作。 说明：不同规格的云服务器在性能上存在差异，可能会对云服务器上运行的应用产生影响。 为保证切换/故障切换后云服务器的性能，建议容灾站点服务器的规格（CPU、内存）不低于生产站点云服务器的规格（CPU、内存）。
:param ResizeProtectedInstanceRequest request
:return: ResizeProtectedInstanceResponse
"""
return self.resize_protected_instance_with_http_info(request)
def resize_protected_instance_with_http_info(self, request):
"""保护实例变更规格
变更指定保护实例中弹性云服务器的规格，包括：同时变更生产站点云服务器和容灾站点云服务器的规格。 仅变更生产站点云服务器的规格，容灾站点云服务器规格不变。 生产站点云服务器规格不变，仅变更容灾站点云服务器的规格。 当且仅当待变更规格的云服务器处于关机状态时，才能执行此操作。 说明：不同规格的云服务器在性能上存在差异，可能会对云服务器上运行的应用产生影响。 为保证切换/故障切换后云服务器的性能，建议容灾站点服务器的规格（CPU、内存）不低于生产站点云服务器的规格（CPU、内存）。
:param ResizeProtectedInstanceRequest request
:return: ResizeProtectedInstanceResponse
"""
all_params = ['protected_instance_id', 'resize_protected_instance_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}/resize',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ResizeProtectedInstanceResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_disaster_recovery_drill(self, request):
"""查询单个容灾演练详情
查询单个容灾演练的详细信息。
:param ShowDisasterRecoveryDrillRequest request
:return: ShowDisasterRecoveryDrillResponse
"""
return self.show_disaster_recovery_drill_with_http_info(request)
def show_disaster_recovery_drill_with_http_info(self, request):
"""查询单个容灾演练详情
查询单个容灾演练的详细信息。
:param ShowDisasterRecoveryDrillRequest request
:return: ShowDisasterRecoveryDrillResponse
"""
all_params = ['disaster_recovery_drill_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'disaster_recovery_drill_id' in local_var_params:
path_params['disaster_recovery_drill_id'] = local_var_params['disaster_recovery_drill_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/disaster-recovery-drills/{disaster_recovery_drill_id}',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowDisasterRecoveryDrillResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_protected_instance(self, request):
"""查询单个保护实例详情
查询单个保护实例的详细信息，如名称、ID等。
:param ShowProtectedInstanceRequest request
:return: ShowProtectedInstanceResponse
"""
return self.show_protected_instance_with_http_info(request)
def show_protected_instance_with_http_info(self, request):
"""查询单个保护实例详情
查询单个保护实例的详细信息，如名称、ID等。
:param ShowProtectedInstanceRequest request
:return: ShowProtectedInstanceResponse
"""
all_params = ['protected_instance_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowProtectedInstanceResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_protection_group(self, request):
"""查询保护组详情
查询单个保护组的详细信息，如ID、名称等。
:param ShowProtectionGroupRequest request
:return: ShowProtectionGroupResponse
"""
return self.show_protection_group_with_http_info(request)
def show_protection_group_with_http_info(self, request):
"""查询保护组详情
查询单个保护组的详细信息，如ID、名称等。
:param ShowProtectionGroupRequest request
:return: ShowProtectionGroupResponse
"""
all_params = ['server_group_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'server_group_id' in local_var_params:
path_params['server_group_id'] = local_var_params['server_group_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/server-groups/{server_group_id}',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowProtectionGroupResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_quota(self, request):
"""查询租户配额
查询资源的配额相关信息。
:param ShowQuotaRequest request
:return: ShowQuotaResponse
"""
return self.show_quota_with_http_info(request)
def show_quota_with_http_info(self, request):
"""查询租户配额
查询资源的配额相关信息。
:param ShowQuotaRequest request
:return: ShowQuotaResponse
"""
all_params = []
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/sdrs/quotas',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowQuotaResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_replication(self, request):
"""查询单个复制对详情
查询单个复制对的详细信息。
:param ShowReplicationRequest request
:return: ShowReplicationResponse
"""
return self.show_replication_with_http_info(request)
def show_replication_with_http_info(self, request):
"""查询单个复制对详情
查询单个复制对的详细信息。
:param ShowReplicationRequest request
:return: ShowReplicationResponse
"""
all_params = ['replication_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'replication_id' in local_var_params:
path_params['replication_id'] = local_var_params['replication_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/replications/{replication_id}',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowReplicationResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def start_failover_protection_group(self, request):
"""保护组故障切换
当保护组的生产站点发生故障时，将保护组的生产站点切到当前的容灾站点，即另一端AZ，启用当前容灾站点的云硬盘以及云服务器等资源。 故障切换完成之后，保护组的当前生产站点变成故障切换发生之前的容灾站点，且生产站点和容灾站点之间的数据已停止保护，必须调用5.4.6-保护组开启保护/重保护接口成功后，两端的数据才会重新被保护。
:param StartFailoverProtectionGroupRequest request
:return: StartFailoverProtectionGroupResponse
"""
return self.start_failover_protection_group_with_http_info(request)
def start_failover_protection_group_with_http_info(self, request):
"""保护组故障切换
当保护组的生产站点发生故障时，将保护组的生产站点切到当前的容灾站点，即另一端AZ，启用当前容灾站点的云硬盘以及云服务器等资源。 故障切换完成之后，保护组的当前生产站点变成故障切换发生之前的容灾站点，且生产站点和容灾站点之间的数据已停止保护，必须调用5.4.6-保护组开启保护/重保护接口成功后，两端的数据才会重新被保护。
:param StartFailoverProtectionGroupRequest request
:return: StartFailoverProtectionGroupResponse
"""
all_params = ['server_group_id', 'failover_protection_group_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'server_group_id' in local_var_params:
path_params['server_group_id'] = local_var_params['server_group_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/server-groups/{server_group_id}/action',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='StartFailoverProtectionGroupResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def start_protection_group(self, request):
"""保护组开启保护/重保护
对某一个保护组的“开启保护”或“重保护”操作。
:param StartProtectionGroupRequest request
:return: StartProtectionGroupResponse
"""
return self.start_protection_group_with_http_info(request)
def start_protection_group_with_http_info(self, request):
"""保护组开启保护/重保护
对某一个保护组的“开启保护”或“重保护”操作。
:param StartProtectionGroupRequest request
:return: StartProtectionGroupResponse
"""
all_params = ['server_group_id', 'start_protection_group_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'server_group_id' in local_var_params:
path_params['server_group_id'] = local_var_params['server_group_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/server-groups/{server_group_id}/action',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='StartProtectionGroupResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def start_reverse_protection_group(self, request):
"""保护组切换
对保护组进行切换操作，可以将保护组的当前生产站点，从创建保护组时指定的生产站点切换到创建保护组时指定的容灾站点，也可以从创建保护组时指定的容灾站点切换到创建保护组时指定的生产站点。切换后，生产站点和容灾站点的数据仍然处于被保护状态，只是复制方向与操作之前相反。
:param StartReverseProtectionGroupRequest request
:return: StartReverseProtectionGroupResponse
"""
return self.start_reverse_protection_group_with_http_info(request)
def start_reverse_protection_group_with_http_info(self, request):
"""保护组切换
对保护组进行切换操作，可以将保护组的当前生产站点，从创建保护组时指定的生产站点切换到创建保护组时指定的容灾站点，也可以从创建保护组时指定的容灾站点切换到创建保护组时指定的生产站点。切换后，生产站点和容灾站点的数据仍然处于被保护状态，只是复制方向与操作之前相反。
:param StartReverseProtectionGroupRequest request
:return: StartReverseProtectionGroupResponse
"""
all_params = ['server_group_id', 'reverse_protection_group_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'server_group_id' in local_var_params:
path_params['server_group_id'] = local_var_params['server_group_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/server-groups/{server_group_id}/action',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='StartReverseProtectionGroupResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def stop_protection_group(self, request):
"""保护组停止保护
对某一个保护组的停止保护操作。
:param StopProtectionGroupRequest request
:return: StopProtectionGroupResponse
"""
return self.stop_protection_group_with_http_info(request)
def stop_protection_group_with_http_info(self, request):
"""保护组停止保护
对某一个保护组的停止保护操作。
:param StopProtectionGroupRequest request
:return: StopProtectionGroupResponse
"""
all_params = ['server_group_id', 'stop_protection_group_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'server_group_id' in local_var_params:
path_params['server_group_id'] = local_var_params['server_group_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/server-groups/{server_group_id}/action',
method='POST',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='StopProtectionGroupResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_disaster_recovery_drill_name(self, request):
"""更新容灾演练名称
更新容灾演练的名称。
:param UpdateDisasterRecoveryDrillNameRequest request
:return: UpdateDisasterRecoveryDrillNameResponse
"""
return self.update_disaster_recovery_drill_name_with_http_info(request)
def update_disaster_recovery_drill_name_with_http_info(self, request):
"""更新容灾演练名称
更新容灾演练的名称。
:param UpdateDisasterRecoveryDrillNameRequest request
:return: UpdateDisasterRecoveryDrillNameResponse
"""
all_params = ['disaster_recovery_drill_id', 'update_disaster_recovery_drill_name_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'disaster_recovery_drill_id' in local_var_params:
path_params['disaster_recovery_drill_id'] = local_var_params['disaster_recovery_drill_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/disaster-recovery-drills/{disaster_recovery_drill_id}',
method='PUT',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateDisasterRecoveryDrillNameResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_protected_instance_name(self, request):
"""更新保护实例名称
更新某一个保护实例的名称。
:param UpdateProtectedInstanceNameRequest request
:return: UpdateProtectedInstanceNameResponse
"""
return self.update_protected_instance_name_with_http_info(request)
def update_protected_instance_name_with_http_info(self, request):
"""更新保护实例名称
更新某一个保护实例的名称。
:param UpdateProtectedInstanceNameRequest request
:return: UpdateProtectedInstanceNameResponse
"""
all_params = ['protected_instance_id', 'update_protected_instance_name_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'protected_instance_id' in local_var_params:
path_params['protected_instance_id'] = local_var_params['protected_instance_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/protected-instances/{protected_instance_id}',
method='PUT',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateProtectedInstanceNameResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_protection_group_name(self, request):
"""更新保护组名称
更新某一个保护组的名称。
:param UpdateProtectionGroupNameRequest request
:return: UpdateProtectionGroupNameResponse
"""
return self.update_protection_group_name_with_http_info(request)
def update_protection_group_name_with_http_info(self, request):
"""更新保护组名称
更新某一个保护组的名称。
:param UpdateProtectionGroupNameRequest request
:return: UpdateProtectionGroupNameResponse
"""
all_params = ['server_group_id', 'update_protection_group_name_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'server_group_id' in local_var_params:
path_params['server_group_id'] = local_var_params['server_group_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/server-groups/{server_group_id}',
method='PUT',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateProtectionGroupNameResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def update_replication_name(self, request):
"""更新复制对名称
更新复制对名称。
:param UpdateReplicationNameRequest request
:return: UpdateReplicationNameResponse
"""
return self.update_replication_name_with_http_info(request)
def update_replication_name_with_http_info(self, request):
"""更新复制对名称
更新复制对名称。
:param UpdateReplicationNameRequest request
:return: UpdateReplicationNameResponse
"""
all_params = ['replication_id', 'update_replication_name_request_body']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'replication_id' in local_var_params:
path_params['replication_id'] = local_var_params['replication_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json;charset=UTF-8'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/replications/{replication_id}',
method='PUT',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='UpdateReplicationNameResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def list_api_versions(self, request):
"""查询API版本信息
查询存储容灾当前所有可用的版本信息列表。
:param ListApiVersionsRequest request
:return: ListApiVersionsResponse
"""
return self.list_api_versions_with_http_info(request)
def list_api_versions_with_http_info(self, request):
"""查询API版本信息
查询存储容灾当前所有可用的版本信息列表。
:param ListApiVersionsRequest request
:return: ListApiVersionsResponse
"""
all_params = []
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ListApiVersionsResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_specified_api_version(self, request):
"""查询指定API版本信息
查询存储容灾指定API版本信息。
:param ShowSpecifiedApiVersionRequest request
:return: ShowSpecifiedApiVersionResponse
"""
return self.show_specified_api_version_with_http_info(request)
def show_specified_api_version_with_http_info(self, request):
"""查询指定API版本信息
查询存储容灾指定API版本信息。
:param ShowSpecifiedApiVersionRequest request
:return: ShowSpecifiedApiVersionResponse
"""
all_params = ['api_version']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'api_version' in local_var_params:
path_params['api_version'] = local_var_params['api_version']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/{api_version}',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowSpecifiedApiVersionResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def show_job_status(self, request):
"""查询job状态
查询job的执行状态。 对于创建保护组、删除保护组、创建保护实例、删除保护实例、创建复制对、删除复制对等异步API，命令下发后，会返回job_id，通过job_id可以查询任务的执行状态。
:param ShowJobStatusRequest request
:return: ShowJobStatusResponse
"""
return self.show_job_status_with_http_info(request)
def show_job_status_with_http_info(self, request):
"""查询job状态
查询job的执行状态。 对于创建保护组、删除保护组、创建保护实例、删除保护实例、创建复制对、删除复制对等异步API，命令下发后，会返回job_id，通过job_id可以查询任务的执行状态。
:param ShowJobStatusRequest request
:return: ShowJobStatusResponse
"""
all_params = ['job_id']
local_var_params = {}
for attr in request.attribute_map:
if hasattr(request, attr):
local_var_params[attr] = getattr(request, attr)
collection_formats = {}
path_params = {}
if 'job_id' in local_var_params:
path_params['job_id'] = local_var_params['job_id']
query_params = []
header_params = {}
form_params = {}
body_params = None
if isinstance(request, SdkStreamRequest):
body_params = request.get_file_stream()
response_headers = []
header_params['Content-Type'] = http_utils.select_header_content_type(
['application/json'])
auth_settings = []
return self.call_api(
resource_path='/v1/{project_id}/jobs/{job_id}',
method='GET',
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
post_params=form_params,
response_type='ShowJobStatusResponse',
response_headers=response_headers,
auth_settings=auth_settings,
collection_formats=collection_formats,
request_type=request.__class__.__name__)
def call_api(self, resource_path, method, path_params=None, query_params=None, header_params=None, body=None,
post_params=None, response_type=None, response_headers=None, auth_settings=None,
collection_formats=None, request_type=None):
"""Makes the HTTP request and returns deserialized data.
:param resource_path: Path to method endpoint.
:param method: Method to call.
:param path_params: Path parameters in the url.
:param query_params: Query parameters in the url.
:param header_params: Header parameters to be placed in the request header.
:param body: Request body.
:param post_params dict: Request post form parameters,
for `application/x-www-form-urlencoded`, `multipart/form-data`.
:param auth_settings list: Auth Settings names for the request.
:param response_type: Response data type.
:param response_headers: Header should be added to response data.
:param collection_formats: dict of collection formats for path, query,
header, and post parameters.
:param request_type: Request data type.
:return:
Return the response directly.
"""
return self.do_http_request(
method=method,
resource_path=resource_path,
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body,
post_params=post_params,
response_type=response_type,
response_headers=response_headers,
collection_formats=collection_formats,
request_type=request_type)
| 32.107208 | 249 | 0.645516 | 10,178 | 105,119 | 6.251916 | 0.048733 | 0.037465 | 0.065565 | 0.025145 | 0.922052 | 0.906965 | 0.890212 | 0.864958 | 0.839609 | 0.745835 | 0 | 0.001294 | 0.271997 | 105,119 | 3,273 | 250 | 32.117018 | 0.830204 | 0.14007 | 0 | 0.832082 | 0 | 0 | 0.129784 | 0.085047 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054185 | false | 0 | 0.005365 | 0 | 0.115343 | 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 |
dc4d56f6420be573d61e425ecf08b5918474bb3f | 7,043 | py | Python | tests/test_human_auth_sample.py | chyroc/pylark | a54cce6b814935fd3c72668b262b54c8ee461484 | [
"Apache-2.0"
] | 7 | 2021-08-18T00:42:05.000Z | 2022-03-14T09:49:15.000Z | tests/test_human_auth_sample.py | chyroc/pylark | a54cce6b814935fd3c72668b262b54c8ee461484 | [
"Apache-2.0"
] | null | null | null | tests/test_human_auth_sample.py | chyroc/pylark | a54cce6b814935fd3c72668b262b54c8ee461484 | [
"Apache-2.0"
] | 1 | 2022-03-14T09:49:20.000Z | 2022-03-14T09:49:20.000Z | # Code generated by lark_sdk_gen. DO NOT EDIT.
import unittest
import pylark
import pytest
from tests.test_conf import app_all_permission, app_no_permission
from tests.test_helper import mock_get_tenant_access_token_failed
def mock(*args, **kwargs):
raise pylark.PyLarkError(scope="scope", func="func", code=1, msg="mock-failed")
def mock_raw_request(*args, **kwargs):
raise pylark.PyLarkError(
scope="scope", func="func", code=1, msg="mock-raw-request-failed"
)
# mock get token
class TestHumanAuthSampleMockGetTokenFailed(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(TestHumanAuthSampleMockGetTokenFailed, self).__init__(*args, **kwargs)
self.cli = app_all_permission.ins()
self.cli.auth.get_tenant_access_token = mock_get_tenant_access_token_failed
self.cli.auth.get_app_access_token = mock_get_tenant_access_token_failed
self.module_cli = self.cli.human_auth
def test_mock_get_token_get_face_verify_auth_result(self):
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.get_face_verify_auth_result(
pylark.GetFaceVerifyAuthResultReq()
)
assert "msg=failed" in f"{e}"
def test_mock_get_token_upload_face_verify_image(self):
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.upload_face_verify_image(pylark.UploadFaceVerifyImageReq())
assert "msg=failed" in f"{e}"
def test_mock_get_token_crop_face_verify_image(self):
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.crop_face_verify_image(pylark.CropFaceVerifyImageReq())
assert "msg=failed" in f"{e}"
def test_mock_get_token_create_identity(self):
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.create_identity(pylark.CreateIdentityReq())
assert "msg=failed" in f"{e}"
# mock mock self func
class TestHumanAuthSampleMockSelfFuncFailed(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(TestHumanAuthSampleMockSelfFuncFailed, self).__init__(*args, **kwargs)
self.cli = app_all_permission.ins()
self.module_cli = self.cli.human_auth
def test_mock_self_func_get_face_verify_auth_result(self):
origin_func = self.module_cli.get_face_verify_auth_result
self.module_cli.get_face_verify_auth_result = mock
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.get_face_verify_auth_result(
pylark.GetFaceVerifyAuthResultReq()
)
assert "msg=mock-failed" in f"{e}"
self.module_cli.get_face_verify_auth_result = origin_func
def test_mock_self_func_upload_face_verify_image(self):
origin_func = self.module_cli.upload_face_verify_image
self.module_cli.upload_face_verify_image = mock
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.upload_face_verify_image(pylark.UploadFaceVerifyImageReq())
assert "msg=mock-failed" in f"{e}"
self.module_cli.upload_face_verify_image = origin_func
def test_mock_self_func_crop_face_verify_image(self):
origin_func = self.module_cli.crop_face_verify_image
self.module_cli.crop_face_verify_image = mock
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.crop_face_verify_image(pylark.CropFaceVerifyImageReq())
assert "msg=mock-failed" in f"{e}"
self.module_cli.crop_face_verify_image = origin_func
def test_mock_self_func_create_identity(self):
origin_func = self.module_cli.create_identity
self.module_cli.create_identity = mock
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.create_identity(pylark.CreateIdentityReq())
assert "msg=mock-failed" in f"{e}"
self.module_cli.create_identity = origin_func
# mock raw request
class TestHumanAuthSampleMockRawRequestFailed(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(TestHumanAuthSampleMockRawRequestFailed, self).__init__(*args, **kwargs)
self.cli = app_all_permission.ins()
self.module_cli = self.cli.human_auth
self.cli.raw_request = mock_raw_request
def test_mock_raw_request_get_face_verify_auth_result(self):
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.get_face_verify_auth_result(
pylark.GetFaceVerifyAuthResultReq()
)
assert e.type is pylark.PyLarkError
assert e.value.code > 0
assert "mock-raw-request-failed" in e.value.msg
def test_mock_raw_request_upload_face_verify_image(self):
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.upload_face_verify_image(pylark.UploadFaceVerifyImageReq())
assert e.type is pylark.PyLarkError
assert e.value.code > 0
assert "mock-raw-request-failed" in e.value.msg
def test_mock_raw_request_crop_face_verify_image(self):
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.crop_face_verify_image(pylark.CropFaceVerifyImageReq())
assert e.type is pylark.PyLarkError
assert e.value.code > 0
assert "mock-raw-request-failed" in e.value.msg
def test_mock_raw_request_create_identity(self):
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.create_identity(pylark.CreateIdentityReq())
assert e.type is pylark.PyLarkError
assert e.value.code > 0
assert "mock-raw-request-failed" in e.value.msg
# real request
class TestHumanAuthSampleRealRequestFailed(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(TestHumanAuthSampleRealRequestFailed, self).__init__(*args, **kwargs)
self.cli = app_no_permission.ins()
self.module_cli = self.cli.human_auth
def test_real_request_get_face_verify_auth_result(self):
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.get_face_verify_auth_result(
pylark.GetFaceVerifyAuthResultReq()
)
assert e.type is pylark.PyLarkError
assert e.value.code > 0
def test_real_request_upload_face_verify_image(self):
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.upload_face_verify_image(pylark.UploadFaceVerifyImageReq())
assert e.type is pylark.PyLarkError
assert e.value.code > 0
def test_real_request_crop_face_verify_image(self):
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.crop_face_verify_image(pylark.CropFaceVerifyImageReq())
assert e.type is pylark.PyLarkError
assert e.value.code > 0
def test_real_request_create_identity(self):
with pytest.raises(pylark.PyLarkError) as e:
self.module_cli.create_identity(pylark.CreateIdentityReq())
assert e.type is pylark.PyLarkError
assert e.value.code > 0
| 38.07027 | 87 | 0.714042 | 911 | 7,043 | 5.192097 | 0.08562 | 0.069767 | 0.087949 | 0.059197 | 0.860888 | 0.843763 | 0.818816 | 0.790698 | 0.737844 | 0.69704 | 0 | 0.001777 | 0.200909 | 7,043 | 184 | 88 | 38.277174 | 0.838664 | 0.015476 | 0 | 0.576923 | 1 | 0 | 0.038684 | 0.016599 | 0 | 0 | 0 | 0 | 0.215385 | 1 | 0.169231 | false | 0 | 0.038462 | 0 | 0.238462 | 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 |
dc63a64fb2d7b1e90072a284bf5be574a0ef5c4d | 160 | py | Python | tools/experiments_mlflow/arguments.py | jmquintana79/utilsDS | 1693810b6f10024542b30fdfedbfcd0518f32945 | [
"MIT"
] | null | null | null | tools/experiments_mlflow/arguments.py | jmquintana79/utilsDS | 1693810b6f10024542b30fdfedbfcd0518f32945 | [
"MIT"
] | null | null | null | tools/experiments_mlflow/arguments.py | jmquintana79/utilsDS | 1693810b6f10024542b30fdfedbfcd0518f32945 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Author: Juan Quintana
# @Date: 2018-09-03 16:01:48
# @Last Modified by: Juan Quintana
# @Last Modified time: 2018-09-03 16:02:05
| 26.666667 | 42 | 0.6375 | 27 | 160 | 3.777778 | 0.703704 | 0.235294 | 0.156863 | 0.196078 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.221374 | 0.18125 | 160 | 5 | 43 | 32 | 0.557252 | 0.93125 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
52434ea1a37b2021bcf413f0e98e641a8b18cb9e | 3,475 | py | Python | Tests/Test_Pillow_Resizing.py | brucewxh/IntraArchiveDeduplicator | 7b0c07cc9fffa75e1b7be285f42b0a8fad42dcfb | [
"BSD-3-Clause"
] | 86 | 2015-01-13T15:02:08.000Z | 2021-12-24T02:13:03.000Z | Tests/Test_Pillow_Resizing.py | brucewxh/IntraArchiveDeduplicator | 7b0c07cc9fffa75e1b7be285f42b0a8fad42dcfb | [
"BSD-3-Clause"
] | 4 | 2016-11-18T20:08:50.000Z | 2018-03-08T23:05:37.000Z | Tests/Test_Pillow_Resizing.py | brucewxh/IntraArchiveDeduplicator | 7b0c07cc9fffa75e1b7be285f42b0a8fad42dcfb | [
"BSD-3-Clause"
] | 12 | 2015-05-03T07:56:50.000Z | 2021-03-11T12:38:56.000Z |
import unittest
from PIL import Image
pre_scale_bw = [
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 76, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 149, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 105, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 225, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 105, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 149, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 76, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 76, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 149, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 105, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 225, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0],
]
simg_expect = [
0, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 149, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 0, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 0, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 149, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 0, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 0, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 149, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 0, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 0
]
class TestSequenceFunctions(unittest.TestCase):
def test_image_rescale_1(self):
img_dims = 20
simg_dims = 10
img = Image.new( 'L', (img_dims, img_dims))
pix = img.load()
for y_idx, pxlist in enumerate(pre_scale_bw):
for x_idx, pixval in enumerate(pxlist):
pix[y_idx, x_idx] = pixval
img_l = list(img.getdata())
# getdata results in a flat list, so flatten the input
flat_l = [tmp for row in pre_scale_bw for tmp in row]
# Check the image loaded OK
self.assertEqual(img_l, flat_l)
# Do the resize
simg = img.resize((simg_dims, simg_dims), Image.NEAREST)
# Check the resize resulted in the expected output
simg_pix = list(simg.getdata())
self.assertEqual(simg_pix, simg_expect)
if __name__ == '__main__':
unittest.main()
| 45.12987 | 103 | 0.595396 | 635 | 3,475 | 3.20315 | 0.100787 | 1.312684 | 1.849558 | 2.306785 | 0.722222 | 0.722222 | 0.722222 | 0.722222 | 0.722222 | 0.722222 | 0 | 0.547142 | 0.224748 | 3,475 | 76 | 104 | 45.723684 | 0.207869 | 0.040576 | 0 | 0.037736 | 0 | 0 | 0.002704 | 0 | 0 | 0 | 0 | 0 | 0.037736 | 1 | 0.018868 | false | 0 | 0.037736 | 0 | 0.075472 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
bfdd4a9d21c399dee2a7c9a34ad92fe67a5abb33 | 114 | py | Python | data/__init__.py | x-zho14/STR | ecf2a7977258313d7b7401b7f29d547abeb4ef7e | [
"Apache-2.0"
] | null | null | null | data/__init__.py | x-zho14/STR | ecf2a7977258313d7b7401b7f29d547abeb4ef7e | [
"Apache-2.0"
] | null | null | null | data/__init__.py | x-zho14/STR | ecf2a7977258313d7b7401b7f29d547abeb4ef7e | [
"Apache-2.0"
] | null | null | null | from data.imagenet import ImageNet
from data.imagenet import TinyImageNet
from data.cifar import CIFAR10, CIFAR100 | 38 | 40 | 0.859649 | 16 | 114 | 6.125 | 0.5 | 0.244898 | 0.326531 | 0.44898 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04902 | 0.105263 | 114 | 3 | 40 | 38 | 0.911765 | 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 |
8741ec8972154f30195564f9251a7b8a30faf92c | 20,613 | py | Python | Wrappers/Python/test/test_Gradient.py | paskino/CIL | 1803cbd445c408588fecbf705fb8b4df486029fc | [
"Apache-2.0"
] | null | null | null | Wrappers/Python/test/test_Gradient.py | paskino/CIL | 1803cbd445c408588fecbf705fb8b4df486029fc | [
"Apache-2.0"
] | null | null | null | Wrappers/Python/test/test_Gradient.py | paskino/CIL | 1803cbd445c408588fecbf705fb8b4df486029fc | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# CCP in Tomographic Imaging (CCPi) Core Imaging Library (CIL).
# Copyright 2017 UKRI-STFC
# Copyright 2017 University of Manchester
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import division
import unittest
import numpy
from cil.framework import ImageGeometry, AcquisitionGeometry
from cil.framework import ImageData, AcquisitionData
from cil.framework import BlockDataContainer
import functools
from cil.optimisation.operators import GradientOperator, BlockOperator
from cil.optimisation.operators import LinearOperator
class TestGradientOperator(unittest.TestCase):
def test_GradientOperator(self):
N, M, K = 20, 30, 40
channels = 10
numpy.random.seed(1)
# check range geometry, examples
ig1 = ImageGeometry(voxel_num_x = M, voxel_num_y = N)
ig3 = ImageGeometry(voxel_num_x = M, voxel_num_y = N, channels = channels)
ig4 = ImageGeometry(voxel_num_x = M, voxel_num_y = N, channels = channels, voxel_num_z= K)
G1 = GradientOperator(ig1, correlation = 'Space', backend='numpy')
print(G1.range_geometry().shape, '2D no channels')
G4 = GradientOperator(ig3, correlation = 'SpaceChannels', backend='numpy')
print(G4.range_geometry().shape, '2D with channels corr')
G5 = GradientOperator(ig3, correlation = 'Space', backend='numpy')
print(G5.range_geometry().shape, '2D with channels no corr')
G6 = GradientOperator(ig4, correlation = 'Space', backend='numpy')
print(G6.range_geometry().shape, '3D with channels no corr')
G7 = GradientOperator(ig4, correlation = 'SpaceChannels', backend='numpy')
print(G7.range_geometry().shape, '3D with channels with corr')
u = ig1.allocate(ImageGeometry.RANDOM)
w = G1.range_geometry().allocate(ImageGeometry.RANDOM)
LHS = (G1.direct(u)*w).sum()
RHS = (u * G1.adjoint(w)).sum()
numpy.testing.assert_approx_equal(LHS, RHS, significant = 1)
numpy.testing.assert_approx_equal(G1.norm(), numpy.sqrt(2*4), significant = 1)
u1 = ig3.allocate('random')
w1 = G4.range_geometry().allocate('random')
LHS1 = (G4.direct(u1) * w1).sum()
RHS1 = (u1 * G4.adjoint(w1)).sum()
numpy.testing.assert_approx_equal(LHS1, RHS1, significant=1)
numpy.testing.assert_almost_equal(G4.norm(), numpy.sqrt(3*4), decimal = 0)
u2 = ig4.allocate('random')
w2 = G7.range_geometry().allocate('random')
LHS2 = (G7.direct(u2) * w2).sum()
RHS2 = (u2 * G7.adjoint(w2)).sum()
numpy.testing.assert_approx_equal(LHS2, RHS2, significant = 3)
numpy.testing.assert_approx_equal(G7.norm(), numpy.sqrt(3*4), significant = 1)
#check direct/adjoint for space/channels correlation
ig_channel = ImageGeometry(voxel_num_x = 2, voxel_num_y = 3, channels = 2)
G_no_channel = GradientOperator(ig_channel, correlation = 'Space', backend='numpy')
G_channel = GradientOperator(ig_channel, correlation = 'SpaceChannels', backend='numpy')
u3 = ig_channel.allocate('random_int')
res_no_channel = G_no_channel.direct(u3)
res_channel = G_channel.direct(u3)
print(" Derivative for 3 directions, first is wrt Channel direction\n")
print(res_channel[0].as_array())
print(res_channel[1].as_array())
print(res_channel[2].as_array())
print(" Derivative for 2 directions, no Channel direction\n")
print(res_no_channel[0].as_array())
print(res_no_channel[1].as_array())
ig2D = ImageGeometry(voxel_num_x = 2, voxel_num_y = 3)
u4 = ig2D.allocate('random_int')
G2D = GradientOperator(ig2D, backend='numpy')
res = G2D.direct(u4)
print(res[0].as_array())
print(res[1].as_array())
M, N = 20, 30
ig = ImageGeometry(M, N)
# check direct of GradientOperator and sparse matrix
G = GradientOperator(ig, backend='numpy')
norm1 = G.norm(iterations=300)
print ("should be sqrt(8) {} {}".format(numpy.sqrt(8), norm1))
numpy.testing.assert_almost_equal(norm1, numpy.sqrt(8), decimal=1)
ig4 = ImageGeometry(M,N, channels=3)
G4 = GradientOperator(ig4, correlation="SpaceChannels", backend='numpy')
norm4 = G4.norm(iterations=300)
print("should be sqrt(12) {} {}".format(numpy.sqrt(12), norm4))
self.assertTrue((norm4 - numpy.sqrt(12))/norm4 < 0.2)
def test_GradientOperator_4D(self):
nc, nz, ny, nx = 3, 4, 5, 6
size = nc * nz * ny * nx
dim = [nc, nz, ny, nx]
ig = ImageGeometry(voxel_num_x=nx, voxel_num_y=ny, voxel_num_z=nz, channels=nc)
arr = numpy.arange(size).reshape(dim).astype(numpy.float32)**2
data = ig.allocate()
data.fill(arr)
#neumann
grad_py = GradientOperator(ig, bnd_cond='Neumann', correlation='SpaceChannels', backend='numpy')
gold_direct = grad_py.direct(data)
gold_adjoint = grad_py.adjoint(gold_direct)
grad_c = GradientOperator(ig, bnd_cond='Neumann', correlation='SpaceChannels', backend='c')
out_direct = grad_c.direct(data)
out_adjoint = grad_c.adjoint(out_direct)
#print("GradientOperator, 4D, bnd_cond='Neumann', direct")
numpy.testing.assert_array_equal(out_direct.get_item(0).as_array(), gold_direct.get_item(0).as_array())
numpy.testing.assert_array_equal(out_direct.get_item(1).as_array(), gold_direct.get_item(1).as_array())
numpy.testing.assert_array_equal(out_direct.get_item(2).as_array(), gold_direct.get_item(2).as_array())
numpy.testing.assert_array_equal(out_direct.get_item(3).as_array(), gold_direct.get_item(3).as_array())
#print("GradientOperator, 4D, bnd_cond='Neumann', adjoint")
numpy.testing.assert_array_equal(out_adjoint.as_array(), gold_adjoint.as_array())
#periodic
grad_py = GradientOperator(ig, bnd_cond='Periodic', correlation='SpaceChannels', backend='numpy')
gold_direct = grad_py.direct(data)
gold_adjoint = grad_py.adjoint(gold_direct)
grad_c = GradientOperator(ig, bnd_cond='Periodic', correlation='SpaceChannels', backend='c')
out_direct = grad_c.direct(data)
out_adjoint = grad_c.adjoint(out_direct)
#print("GradientOperator, 4D, bnd_cond='Periodic', direct")
numpy.testing.assert_array_equal(out_direct.get_item(0).as_array(), gold_direct.get_item(0).as_array())
numpy.testing.assert_array_equal(out_direct.get_item(1).as_array(), gold_direct.get_item(1).as_array())
numpy.testing.assert_array_equal(out_direct.get_item(2).as_array(), gold_direct.get_item(2).as_array())
numpy.testing.assert_array_equal(out_direct.get_item(3).as_array(), gold_direct.get_item(3).as_array())
#print("GradientOperator, 4D, bnd_cond='Periodic', adjoint")
numpy.testing.assert_array_equal(out_adjoint.as_array(), gold_adjoint.as_array())
def test_GradientOperator_4D_allocate(self):
nc, nz, ny, nx = 3, 4, 5, 6
size = nc * nz * ny * nx
dim = [nc, nz, ny, nx]
ig = ImageGeometry(voxel_num_x=nx, voxel_num_y=ny, voxel_num_z=nz, channels=nc)
arr = numpy.arange(size).reshape(dim).astype(numpy.float32)**2
data = ig.allocate()
data.fill(arr)
#numpy
grad1 = GradientOperator(ig, bnd_cond='Neumann', correlation='SpaceChannels', backend='numpy')
gold_direct = grad1.direct(data)
gold_adjoint = grad1.adjoint(gold_direct)
grad2 = GradientOperator(ig, bnd_cond='Neumann', correlation='SpaceChannels', backend='numpy')
out_direct = grad2.range_geometry().allocate()
out_adjoint = grad2.domain_geometry().allocate()
grad2.direct(data, out=out_direct)
grad2.adjoint(out_direct, out=out_adjoint)
#print("GradientOperatorOperator, 4D, bnd_cond='Neumann', direct")
numpy.testing.assert_array_equal(out_direct.get_item(0).as_array(), gold_direct.get_item(0).as_array())
numpy.testing.assert_array_equal(out_direct.get_item(1).as_array(), gold_direct.get_item(1).as_array())
numpy.testing.assert_array_equal(out_direct.get_item(2).as_array(), gold_direct.get_item(2).as_array())
numpy.testing.assert_array_equal(out_direct.get_item(3).as_array(), gold_direct.get_item(3).as_array())
#print("GradientOperator, 4D, bnd_cond='Neumann', adjoint")
numpy.testing.assert_array_equal(out_adjoint.as_array(), gold_adjoint.as_array())
#c
grad1 = GradientOperator(ig, bnd_cond='Neumann', correlation='SpaceChannels', backend='c')
gold_direct = grad1.direct(data)
gold_adjoint = grad1.adjoint(gold_direct)
grad2 = GradientOperator(ig, bnd_cond='Neumann', correlation='SpaceChannels', backend='c')
out_direct = grad2.range_geometry().allocate()
out_adjoint = grad2.domain_geometry().allocate()
grad2.direct(data, out=out_direct)
grad2.adjoint(out_direct, out=out_adjoint)
#print("GradientOperator, 4D, bnd_cond='Neumann', direct")
numpy.testing.assert_array_equal(out_direct.get_item(0).as_array(), gold_direct.get_item(0).as_array())
numpy.testing.assert_array_equal(out_direct.get_item(1).as_array(), gold_direct.get_item(1).as_array())
numpy.testing.assert_array_equal(out_direct.get_item(2).as_array(), gold_direct.get_item(2).as_array())
numpy.testing.assert_array_equal(out_direct.get_item(3).as_array(), gold_direct.get_item(3).as_array())
#print("GradientOperator, 4D, bnd_cond='Neumann', adjoint")
numpy.testing.assert_array_equal(out_adjoint.as_array(), gold_adjoint.as_array())
def test_GradientOperator_linearity(self):
nc, nz, ny, nx = 3, 4, 5, 6
ig = ImageGeometry(voxel_num_x=nx, voxel_num_y=ny, voxel_num_z=nz, channels=nc)
grad = GradientOperator(ig, bnd_cond='Neumann', correlation='SpaceChannels', backend='c')
self.assertTrue(LinearOperator.dot_test(grad))
grad = GradientOperator(ig, bnd_cond='Periodic', correlation='SpaceChannels', backend='c')
self.assertTrue(LinearOperator.dot_test(grad))
grad = GradientOperator(ig, bnd_cond='Neumann', correlation='SpaceChannels', backend='numpy')
self.assertTrue(LinearOperator.dot_test(grad))
grad = GradientOperator(ig, bnd_cond='Periodic', correlation='SpaceChannels', backend='numpy')
self.assertTrue(LinearOperator.dot_test(grad))
def test_Gradient_c_numpy_voxel(self):
numpy.random.seed(5)
print("Test GradientOperator for 2D Geometry, ")
ny, nx, nz = 3, 4, 5
ig = ImageGeometry(voxel_num_y = ny, voxel_num_x = nx, voxel_size_x=0.1, voxel_size_y=0.5)
GD_C = GradientOperator(ig, backend = 'c')
GD_numpy = GradientOperator(ig, backend = 'numpy')
print("Check Gradient_C, Gradient_numpy norms")
Gradient_C_norm = GD_C.norm()
Gradient_numpy_norm = GD_numpy.norm()
print(Gradient_C_norm, Gradient_numpy_norm)
numpy.testing.assert_allclose(Gradient_C_norm, Gradient_numpy_norm, rtol=0.1)
numpy.testing.assert_allclose(numpy.sqrt((2/ig.voxel_size_x)**2 + (2/ig.voxel_size_y)**2), Gradient_numpy_norm, rtol=0.1)
numpy.testing.assert_allclose(numpy.sqrt((2/ig.voxel_size_x)**2 + (2/ig.voxel_size_y)**2), Gradient_C_norm, rtol=0.1)
print("Test passed\n")
print("Check dot test")
self.assertTrue(GD_C.dot_test(GD_C))
self.assertTrue(GD_numpy.dot_test(GD_numpy))
print("Test passed\n")
print("Check dot test for Gradient Numpy with different method/bdn_cond")
G_numpy1 = GradientOperator(ig, method = 'forward', bnd_cond = 'Neumann')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'backward', bnd_cond = 'Neumann')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'centered', bnd_cond = 'Neumann')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'forward', bnd_cond = 'Periodic')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'backward', bnd_cond = 'Periodic')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'centered', bnd_cond = 'Periodic')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
print("Test passed\n")
print("Test GradientOperator for 2D Geometry passed\n")
###########################################################################
###########################################################################
###########################################################################
###########################################################################
print("Test GradientOperator for 3D Geometry, ")
ig = ImageGeometry(voxel_num_y = ny, voxel_num_x = nx, voxel_num_z = nz, voxel_size_x=0.1, voxel_size_y=0.5, voxel_size_z = 0.4)
GD_C = GradientOperator(ig, backend = 'c')
GD_numpy = GradientOperator(ig, backend = 'numpy')
numpy.random.seed(5)
print("Check Gradient_C, Gradient_numpy norms")
Gradient_C_norm = GD_C.norm()
Gradient_numpy_norm = GD_numpy.norm()
numpy.testing.assert_allclose(Gradient_C_norm, Gradient_numpy_norm, rtol=0.1)
numpy.testing.assert_allclose(numpy.sqrt((2/ig.voxel_size_z)**2 + (2/ig.voxel_size_x)**2 + (2/ig.voxel_size_y)**2), Gradient_numpy_norm, rtol=0.1)
numpy.testing.assert_allclose(numpy.sqrt((2/ig.voxel_size_z)**2 + (2/ig.voxel_size_x)**2 + (2/ig.voxel_size_y)**2), Gradient_C_norm, rtol=0.1)
print("Test passed\n")
print("Check dot test")
self.assertTrue(GD_C.dot_test(GD_C))
self.assertTrue(GD_numpy.dot_test(GD_numpy))
print("Test passed\n")
print("Check dot test for GradientOperator Numpy with different method/bdn_cond")
G_numpy1 = GradientOperator(ig, method = 'forward', bnd_cond = 'Neumann')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'backward', bnd_cond = 'Neumann')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'centered', bnd_cond = 'Neumann')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'forward', bnd_cond = 'Periodic')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'backward', bnd_cond = 'Periodic')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'centered', bnd_cond = 'Periodic')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
print("Test passed\n")
print("Test GradientOperator for 3D Geometry passed\n")
###########################################################################
###########################################################################
###########################################################################
###########################################################################
print("Test GradientOperator for 2D Geometry + channels, ")
ig = ImageGeometry(5,10, voxel_size_x=0.1, voxel_size_y=0.5, channels = 10)
GD_C = GradientOperator(ig, backend = 'c')
GD_numpy = GradientOperator(ig, backend = 'numpy')
print("Check Gradient_C, Gradient_numpy norms")
Gradient_C_norm = GD_C.norm()
Gradient_numpy_norm = GD_numpy.norm()
numpy.testing.assert_allclose(Gradient_C_norm, Gradient_numpy_norm, rtol=0.1)
print("Test passed\n")
print("Check dot test")
self.assertTrue(GD_C.dot_test(GD_C))
self.assertTrue(GD_numpy.dot_test(GD_numpy))
print("Test passed\n")
print("Check dot test for GradientOperator Numpy with different method/bdn_cond")
G_numpy1 = GradientOperator(ig, method = 'forward', bnd_cond = 'Neumann')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'backward', bnd_cond = 'Neumann')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'centered', bnd_cond = 'Neumann')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'forward', bnd_cond = 'Periodic')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'backward', bnd_cond = 'Periodic')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'centered', bnd_cond = 'Periodic')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
print("Test passed\n")
print("Test GradientOperator for 2D Geometry + channels passed\n")
###########################################################################
###########################################################################
###########################################################################
###########################################################################
print("Test GradientOperator for 3D Geometry + channels, ")
ig = ImageGeometry(voxel_num_x = nx, voxel_num_y = ny, voxel_num_z=nz, voxel_size_x=0.1, voxel_size_y=0.5, voxel_size_z = 0.3, channels = 10)
GD_C = GradientOperator(ig, backend = 'c')
GD_numpy = GradientOperator(ig, backend = 'numpy')
print("Check Gradient_C, Gradient_numpy norms")
Gradient_C_norm = GD_C.norm()
Gradient_numpy_norm = GD_numpy.norm()
numpy.testing.assert_allclose(Gradient_C_norm, Gradient_numpy_norm, rtol=0.1)
print("Test passed\n")
print("Check dot test")
self.assertTrue(GD_C.dot_test(GD_C))
self.assertTrue(GD_numpy.dot_test(GD_numpy))
print("Test passed\n")
print("Check dot test for Gradient Numpy with different method/bdn_cond")
G_numpy1 = GradientOperator(ig, method = 'forward', bnd_cond = 'Neumann')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'backward', bnd_cond = 'Neumann')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'centered', bnd_cond = 'Neumann')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'forward', bnd_cond = 'Periodic')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'backward', bnd_cond = 'Periodic')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
G_numpy1 = GradientOperator(ig, method = 'centered', bnd_cond = 'Periodic')
self.assertTrue(G_numpy1.dot_test(G_numpy1))
print("Test passed\n")
print("Test GradientOperator for 3D Geometry + channels passed\n")
| 47.937209 | 155 | 0.617232 | 2,533 | 20,613 | 4.783261 | 0.09317 | 0.041598 | 0.051997 | 0.049521 | 0.816193 | 0.767002 | 0.728458 | 0.722846 | 0.719132 | 0.686118 | 0 | 0.023412 | 0.225004 | 20,613 | 429 | 156 | 48.048951 | 0.735023 | 0.063698 | 0 | 0.597786 | 0 | 0 | 0.115617 | 0 | 0 | 0 | 0 | 0 | 0.265683 | 1 | 0.01845 | false | 0.059041 | 0.03321 | 0 | 0.055351 | 0.180812 | 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 |
874f414d42bdf68722b1d1f806967f04771c6c25 | 13,516 | py | Python | tests/nn/architectures/test_encoder_decoder.py | preeti98/sleap | 203c3a03c0c54f8dab242611d9a8d24595e98081 | [
"BSD-3-Clause-Clear"
] | null | null | null | tests/nn/architectures/test_encoder_decoder.py | preeti98/sleap | 203c3a03c0c54f8dab242611d9a8d24595e98081 | [
"BSD-3-Clause-Clear"
] | null | null | null | tests/nn/architectures/test_encoder_decoder.py | preeti98/sleap | 203c3a03c0c54f8dab242611d9a8d24595e98081 | [
"BSD-3-Clause-Clear"
] | null | null | null | import numpy as np
import tensorflow as tf
from sleap.nn.system import use_cpu_only; use_cpu_only() # hide GPUs for test
from sleap.nn.architectures import encoder_decoder
class EncoderDecoderTests(tf.test.TestCase):
def test_simple_conv_block(self):
block = encoder_decoder.SimpleConvBlock(
pooling_stride=2,
num_convs=3,
filters=16,
kernel_size=3,
use_bias=True,
batch_norm=False,
batch_norm_before_activation=True,
activation="relu",
)
x_in = tf.keras.Input((8, 8, 1))
x = block.make_block(x_in)
model = tf.keras.Model(x_in, x)
self.assertEqual(len(model.layers), 1 + 2 * 3 + 1)
self.assertEqual(len(model.trainable_weights), 6)
self.assertEqual(model.count_params(), 4800)
self.assertAllEqual(model.output.shape, (None, 4, 4, 16))
def test_simple_conv_block_bn(self):
block = encoder_decoder.SimpleConvBlock(
pooling_stride=2,
num_convs=3,
filters=16,
kernel_size=3,
use_bias=True,
batch_norm=True,
batch_norm_before_activation=True,
activation="relu",
)
x_in = tf.keras.Input((8, 8, 1))
x = block.make_block(x_in)
model = tf.keras.Model(x_in, x)
self.assertEqual(len(model.layers), 1 + 3 * 3 + 1)
self.assertEqual(len(model.trainable_weights), 12)
self.assertEqual(model.count_params(), 4992)
self.assertAllEqual(model.output.shape, (None, 4, 4, 16))
self.assertIsInstance(model.layers[1], tf.keras.layers.Conv2D)
self.assertIsInstance(model.layers[2], tf.keras.layers.BatchNormalization)
self.assertIsInstance(model.layers[3], tf.keras.layers.Activation)
def test_simple_conv_block_bn_post(self):
block = encoder_decoder.SimpleConvBlock(
pooling_stride=2,
num_convs=3,
filters=16,
kernel_size=3,
use_bias=True,
batch_norm=True,
batch_norm_before_activation=False,
activation="relu",
)
x_in = tf.keras.Input((8, 8, 1))
x = block.make_block(x_in)
model = tf.keras.Model(x_in, x)
self.assertEqual(len(model.layers), 1 + 3 * 3 + 1)
self.assertEqual(len(model.trainable_weights), 12)
self.assertEqual(model.count_params(), 4992)
self.assertAllEqual(model.output.shape, (None, 4, 4, 16))
self.assertIsInstance(model.layers[1], tf.keras.layers.Conv2D)
self.assertIsInstance(model.layers[2], tf.keras.layers.Activation)
self.assertIsInstance(model.layers[3], tf.keras.layers.BatchNormalization)
def test_simple_conv_block_no_pool(self):
block = encoder_decoder.SimpleConvBlock(
pool=False,
pooling_stride=2,
num_convs=3,
filters=16,
kernel_size=3,
use_bias=True,
batch_norm=True,
batch_norm_before_activation=True,
activation="relu",
)
x_in = tf.keras.Input((8, 8, 1))
x = block.make_block(x_in)
model = tf.keras.Model(x_in, x)
self.assertEqual(len(model.layers), 1 + 3 * 3)
self.assertEqual(len(model.trainable_weights), 12)
self.assertEqual(model.count_params(), 4992)
self.assertAllEqual(model.output.shape, (None, 8, 8, 16))
def test_simple_conv_block_pool_before_convs(self):
block = encoder_decoder.SimpleConvBlock(
pool=True,
pool_before_convs=True,
pooling_stride=2,
num_convs=3,
filters=16,
kernel_size=3,
use_bias=True,
batch_norm=True,
batch_norm_before_activation=True,
activation="relu",
)
x_in = tf.keras.Input((8, 8, 1))
x = block.make_block(x_in)
model = tf.keras.Model(x_in, x)
self.assertEqual(len(model.layers), 1 + 3 * 3 + 1)
self.assertEqual(len(model.trainable_weights), 12)
self.assertEqual(model.count_params(), 4992)
self.assertAllEqual(model.output.shape, (None, 4, 4, 16))
self.assertIsInstance(model.layers[1], tf.keras.layers.MaxPooling2D)
self.assertIsInstance(model.layers[2], tf.keras.layers.Conv2D)
self.assertIsInstance(model.layers[3], tf.keras.layers.BatchNormalization)
self.assertIsInstance(model.layers[4], tf.keras.layers.Activation)
def test_simple_upsampling_block(self):
block = encoder_decoder.SimpleUpsamplingBlock(
upsampling_stride=2,
transposed_conv = False,
interp_method = "bilinear",
refine_convs = 0,
)
x_in = tf.keras.Input((8, 8, 1))
x = block.make_block(x_in)
model = tf.keras.Model(x_in, x)
self.assertEqual(len(model.layers), 2)
self.assertEqual(len(model.trainable_weights), 0)
self.assertEqual(model.count_params(), 0)
self.assertAllEqual(model.output.shape, (None, 16, 16, 1))
self.assertIsInstance(model.layers[1], tf.keras.layers.UpSampling2D)
def test_simple_upsampling_block_trans_conv(self):
block = encoder_decoder.SimpleUpsamplingBlock(
upsampling_stride=2,
transposed_conv = True,
transposed_conv_filters = 8,
transposed_conv_kernel_size = 3,
transposed_conv_use_bias = True,
transposed_conv_batch_norm = True,
transposed_conv_batch_norm_before_activation = True,
transposed_conv_activation = "relu",
refine_convs = 0,
)
x_in = tf.keras.Input((8, 8, 1))
x = block.make_block(x_in)
model = tf.keras.Model(x_in, x)
self.assertEqual(len(model.layers), 1 + 3)
self.assertEqual(len(model.trainable_weights), 4)
self.assertEqual(model.count_params(), 112)
self.assertAllEqual(model.output.shape, (None, 16, 16, 8))
self.assertIsInstance(model.layers[1], tf.keras.layers.Conv2DTranspose)
self.assertIsInstance(model.layers[2], tf.keras.layers.BatchNormalization)
self.assertIsInstance(model.layers[3], tf.keras.layers.Activation)
def test_simple_upsampling_block_trans_conv_bn_post(self):
block = encoder_decoder.SimpleUpsamplingBlock(
upsampling_stride=2,
transposed_conv = True,
transposed_conv_filters = 8,
transposed_conv_kernel_size = 3,
transposed_conv_use_bias = True,
transposed_conv_batch_norm = True,
transposed_conv_batch_norm_before_activation = False,
transposed_conv_activation = "relu",
refine_convs = 0,
)
x_in = tf.keras.Input((8, 8, 1))
x = block.make_block(x_in)
model = tf.keras.Model(x_in, x)
self.assertEqual(len(model.layers), 1 + 3)
self.assertEqual(len(model.trainable_weights), 4)
self.assertEqual(model.count_params(), 112)
self.assertAllEqual(model.output.shape, (None, 16, 16, 8))
self.assertIsInstance(model.layers[1], tf.keras.layers.Conv2DTranspose)
self.assertIsInstance(model.layers[2], tf.keras.layers.Activation)
self.assertIsInstance(model.layers[3], tf.keras.layers.BatchNormalization)
def test_simple_upsampling_block_ignore_skip_source(self):
block = encoder_decoder.SimpleUpsamplingBlock(
upsampling_stride=2,
transposed_conv = False,
interp_method = "bilinear",
skip_connection = False,
skip_add = False,
refine_convs = 0,
)
x_in = tf.keras.Input((8, 8, 1))
skip_src = tf.keras.Input((16, 16, 1))
x = block.make_block(x_in, skip_source=skip_src)
model = tf.keras.Model(x_in, x)
self.assertEqual(len(model.layers), 2)
self.assertEqual(len(model.trainable_weights), 0)
self.assertEqual(model.count_params(), 0)
self.assertAllEqual(model.output.shape, (None, 16, 16, 1))
self.assertIsInstance(model.layers[1], tf.keras.layers.UpSampling2D)
def test_simple_upsampling_block_skip_add(self):
block = encoder_decoder.SimpleUpsamplingBlock(
upsampling_stride=2,
transposed_conv = False,
interp_method = "bilinear",
skip_connection = True,
skip_add = True,
refine_convs = 0,
)
x_in = tf.keras.Input((8, 8, 1))
skip_src = tf.ones((1, 16, 16, 1))
x = block.make_block(x_in, skip_source=skip_src)
model = tf.keras.Model(x_in, x)
self.assertEqual(len(model.layers), 3)
self.assertEqual(len(model.trainable_weights), 0)
self.assertEqual(model.count_params(), 0)
self.assertAllEqual(model.output.shape, (None, 16, 16, 1))
self.assertIsInstance(model.layers[1], tf.keras.layers.UpSampling2D)
self.assertTrue("add" in model.layers[2].name)
self.assertAllClose(model(tf.ones((1, 8, 8, 1))), tf.ones((1, 16, 16, 1)) * 2)
def test_simple_upsampling_block_skip_add_adjust_channels(self):
block = encoder_decoder.SimpleUpsamplingBlock(
upsampling_stride=2,
transposed_conv = False,
interp_method = "bilinear",
skip_connection = True,
skip_add = True,
refine_convs = 0,
)
x_in = tf.keras.Input((8, 8, 1))
skip_src = tf.keras.Input((16, 16, 4))
x = block.make_block(x_in, skip_source=skip_src)
model = tf.keras.Model([x_in, skip_src], x)
self.assertEqual(len(model.layers), 5)
self.assertEqual(len(model.trainable_weights), 2)
self.assertEqual(model.count_params(), 1+4)
self.assertAllEqual(model.output.shape, (None, 16, 16, 1))
self.assertIsInstance(model.layers[3], tf.keras.layers.UpSampling2D)
self.assertIsInstance(model.layers[2], tf.keras.layers.Conv2D)
self.assertTrue("add" in model.layers[4].name)
def test_simple_upsampling_block_skip_concat(self):
block = encoder_decoder.SimpleUpsamplingBlock(
upsampling_stride=2,
transposed_conv = False,
interp_method = "bilinear",
skip_connection = True,
skip_add = False,
refine_convs = 0,
)
x_in = tf.keras.Input((8, 8, 1))
skip_src = tf.keras.Input((16, 16, 4))
x = block.make_block(x_in, skip_source=skip_src)
model = tf.keras.Model([x_in, skip_src], x)
self.assertEqual(len(model.layers), 4)
self.assertEqual(len(model.trainable_weights), 0)
self.assertEqual(model.count_params(), 0)
self.assertAllEqual(model.output.shape, (None, 16, 16, 5))
self.assertIsInstance(model.layers[2], tf.keras.layers.UpSampling2D)
self.assertIsInstance(model.layers[3], tf.keras.layers.Concatenate)
def test_simple_upsampling_block_refine_convs(self):
block = encoder_decoder.SimpleUpsamplingBlock(
upsampling_stride=2,
transposed_conv = False,
interp_method = "bilinear",
skip_connection = True,
refine_convs = 2,
refine_convs_filters = 16,
refine_convs_use_bias = True,
refine_convs_kernel_size = 3,
refine_convs_batch_norm = True,
refine_convs_batch_norm_before_activation = True,
refine_convs_activation = "relu",
)
x_in = tf.keras.Input((8, 8, 1))
x = block.make_block(x_in)
model = tf.keras.Model(x_in, x)
self.assertEqual(len(model.layers), 8)
self.assertEqual(len(model.trainable_weights), 8)
self.assertEqual(model.count_params(), 2608)
self.assertAllEqual(model.output.shape, (None, 16, 16, 16))
self.assertIsInstance(model.layers[1], tf.keras.layers.UpSampling2D)
self.assertIsInstance(model.layers[2], tf.keras.layers.Conv2D)
self.assertIsInstance(model.layers[3], tf.keras.layers.BatchNormalization)
self.assertIsInstance(model.layers[4], tf.keras.layers.Activation)
def test_simple_upsampling_block_refine_convs_bn_post(self):
block = encoder_decoder.SimpleUpsamplingBlock(
upsampling_stride=2,
transposed_conv = False,
interp_method = "bilinear",
skip_connection = True,
refine_convs = 2,
refine_convs_filters = 16,
refine_convs_use_bias = True,
refine_convs_kernel_size = 3,
refine_convs_batch_norm = True,
refine_convs_batch_norm_before_activation = False,
refine_convs_activation = "relu",
)
x_in = tf.keras.Input((8, 8, 1))
x = block.make_block(x_in)
model = tf.keras.Model(x_in, x)
self.assertEqual(len(model.layers), 8)
self.assertEqual(len(model.trainable_weights), 8)
self.assertEqual(model.count_params(), 2608)
self.assertAllEqual(model.output.shape, (None, 16, 16, 16))
self.assertIsInstance(model.layers[1], tf.keras.layers.UpSampling2D)
self.assertIsInstance(model.layers[2], tf.keras.layers.Conv2D)
self.assertIsInstance(model.layers[3], tf.keras.layers.Activation)
self.assertIsInstance(model.layers[4], tf.keras.layers.BatchNormalization)
| 41.460123 | 86 | 0.628218 | 1,652 | 13,516 | 4.929177 | 0.06477 | 0.053297 | 0.095174 | 0.118015 | 0.955299 | 0.938598 | 0.903353 | 0.889721 | 0.866511 | 0.858283 | 0 | 0.03314 | 0.261024 | 13,516 | 325 | 87 | 41.587692 | 0.782139 | 0.001332 | 0 | 0.782313 | 0 | 0 | 0.007262 | 0 | 0 | 0 | 0 | 0 | 0.306122 | 1 | 0.047619 | false | 0 | 0.013605 | 0 | 0.064626 | 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 |
875af798c34837d342aef51870410ce358cba40f | 4,398 | py | Python | exams/61a-su20-mt-solution/q1/tests/q1.py | jjllzhang/CS61A | 57b68c7c06999210d96499f6d84e4ec99085d396 | [
"MIT"
] | 1 | 2022-01-22T11:45:01.000Z | 2022-01-22T11:45:01.000Z | exams/61a-su20-mt-solution/q1/tests/q1.py | jjllzhang/CS61A | 57b68c7c06999210d96499f6d84e4ec99085d396 | [
"MIT"
] | null | null | null | exams/61a-su20-mt-solution/q1/tests/q1.py | jjllzhang/CS61A | 57b68c7c06999210d96499f6d84e4ec99085d396 | [
"MIT"
] | null | null | null | test = {'name': 'q1',
'points': 1,
'suites': [{'cases': [{'code': '>>> hacker = cat([1,2], 2)\n'
'\n'
'>>> hacker(1)\n'
'\n'
'>>> hacker(2)\n'
"'Successfully unlocked!'\n"
'\n'
'>>> hacker = cat([1,2], 1)\n'
'\n'
'>>> hacker(1)\n'
'\n'
'>>> hacker(3) # used up attempts to gain '
'access\n'
'\n'
'>>> hacker(2) # correct attempt to gain '
'access, but already locked\n'
"'The safe is now inaccessible!'\n"
'\n'
'>>> hacker = cat([1,2], 2)\n'
'\n'
'>>> hacker(1)\n'
'\n'
'>>> hacker(3) # 1 attempt left to gain '
'access\n'
'\n'
'>>> hacker(2) # correct attempt to gain '
'access\n'
"'Successfully unlocked!'\n"}],
'scored': True,
'setup': 'from q1 import *',
'type': 'doctest'},
{'cases': [{'code': '>>> hacker = cat([1], 4)\n'
'\n'
'>>> hacker(3)\n'
'\n'
'>>> hacker(3)\n'
'\n'
'>>> hacker(3)\n'
'\n'
'>>> hacker(3)\n'
'\n'
'>>> hacker(3)\n'
"'The safe is now inaccessible!'\n"
'\n'
'>>> hacker = cat([1], 4)\n'
'\n'
'>>> hacker(3)\n'
'\n'
'>>> hacker(3)\n'
'\n'
'>>> hacker(3)\n'
'\n'
'>>> hacker(3)\n'
'\n'
'>>> hacker(1)\n'
"'The safe is now inaccessible!'\n"
'\n'
'>>> hacker = cat([1], 4)\n'
'\n'
'>>> hacker(1)\n'
"'Successfully unlocked!'\n"
'\n'
'>>> hacker = cat([1, 2, 3, 4, 5, 6], 4)\n'
'\n'
'>>> hacker(1)\n'
'\n'
'>>> hacker(2)\n'
'\n'
'>>> hacker(3)\n'
'\n'
'>>> hacker(4)\n'
'\n'
'>>> hacker(5)\n'
'\n'
'>>> hacker(6)\n'
"'Successfully unlocked!'\n"
'\n'
'>>> hacker = cat([1,2,3,4], 2)\n'
'\n'
'>>> hacker(1)\n'
'\n'
'>>> hacker(2)\n'
'\n'
'>>> hacker(3)\n'
'\n'
'>>> hacker(3)\n'
'\n'
'>>> hacker(4)\n'
"'Successfully unlocked!'\n"}],
'scored': True,
'setup': 'from q1 import *',
'type': 'doctest'}]} | 46.787234 | 75 | 0.181446 | 261 | 4,398 | 3.057471 | 0.16092 | 0.090226 | 0.360902 | 0.157895 | 0.893484 | 0.869674 | 0.867168 | 0.867168 | 0.843358 | 0.798246 | 0 | 0.044572 | 0.68372 | 4,398 | 94 | 76 | 46.787234 | 0.529116 | 0 | 0 | 0.840426 | 0 | 0 | 0.284155 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.021277 | 0 | 0.021277 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
875eb9374556cff06511afdcf03257d5ec6772af | 138 | py | Python | server/tests/test_user_api.py | WagnerJM/opus_xml | 382fa78473bc37199b142bde0aa14ace31c9cd10 | [
"MIT"
] | null | null | null | server/tests/test_user_api.py | WagnerJM/opus_xml | 382fa78473bc37199b142bde0aa14ace31c9cd10 | [
"MIT"
] | null | null | null | server/tests/test_user_api.py | WagnerJM/opus_xml | 382fa78473bc37199b142bde0aa14ace31c9cd10 | [
"MIT"
] | null | null | null | import pytest
import requests
def test_user_login():
pass
def test_user_logout():
pass
def test_admin_register_user():
pass | 12.545455 | 31 | 0.73913 | 20 | 138 | 4.75 | 0.55 | 0.221053 | 0.231579 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.195652 | 138 | 11 | 32 | 12.545455 | 0.855856 | 0 | 0 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.375 | true | 0.375 | 0.25 | 0 | 0.625 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
87780d816b6ece42dcf2893dcf0ca717d4177c53 | 14,984 | py | Python | test_area/encode64/encode_img.py | umiphos/python-exercises | a834fb63d3e447e3df096543c0e1850ecc020ffe | [
"Apache-2.0"
] | null | null | null | test_area/encode64/encode_img.py | umiphos/python-exercises | a834fb63d3e447e3df096543c0e1850ecc020ffe | [
"Apache-2.0"
] | null | null | null | test_area/encode64/encode_img.py | umiphos/python-exercises | a834fb63d3e447e3df096543c0e1850ecc020ffe | [
"Apache-2.0"
] | null | null | null | import base64
img_data = b'iVBORw0KGgoAAAANSUhEUgAABoIAAAaCCAYAAAABZu+EAAAqOElEQVR42uzBAQEAAACAkP6v7ggK\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACA2YMDAQAAAAAg\n/9dGUFVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVWkPDgkA\nAAAABP1/7QobAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAIcAeHkAAeLqlDIAAAAASUVORK5CYII='
fh = open("imageToSave.png", "wb")
fh.write(img_data.decode('base64'))
fh.close()
| 1,362.181818 | 14,882 | 0.98445 | 212 | 14,984 | 69.570755 | 0.113208 | 1.179877 | 1.738491 | 2.276222 | 0.965828 | 0.965828 | 0.965828 | 0.965828 | 0.965828 | 0.965828 | 0 | 0.000935 | 0.001068 | 14,984 | 10 | 14,883 | 1,498.4 | 0.984433 | 0 | 0 | 0 | 0 | 0.2 | 0.993992 | 0.992457 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 |
5e5ca6253874950abdffa5822c3cae396cd60b7b | 4,984 | py | Python | tests/cli/test_merge.py | IRDonch/datumaro | d029e67549b7359c887bd15039997bd8bbae7c0c | [
"MIT"
] | 237 | 2020-09-07T14:29:26.000Z | 2022-03-31T12:53:48.000Z | tests/cli/test_merge.py | IRDonch/datumaro | d029e67549b7359c887bd15039997bd8bbae7c0c | [
"MIT"
] | 330 | 2020-09-09T21:27:29.000Z | 2022-03-31T12:36:18.000Z | tests/cli/test_merge.py | IRDonch/datumaro | d029e67549b7359c887bd15039997bd8bbae7c0c | [
"MIT"
] | 63 | 2020-09-09T07:44:28.000Z | 2022-03-17T16:07:26.000Z | from unittest import TestCase
import os.path as osp
import numpy as np
from datumaro.components.annotation import (
AnnotationType, Bbox, LabelCategories, MaskCategories,
)
from datumaro.components.extractor import DatasetItem
from datumaro.components.project import Dataset, Project
from datumaro.util.test_utils import TestDir, compare_datasets
from datumaro.util.test_utils import run_datum as run
import datumaro.plugins.voc_format.format as VOC
from ..requirements import Requirements, mark_requirement
class MergeTest(TestCase):
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_can_run_self_merge(self):
dataset1 = Dataset.from_iterable([
DatasetItem(id=100, subset='train', image=np.ones((10, 6, 3)),
annotations=[
Bbox(1, 2, 3, 3, label=0),
]),
], categories=['a', 'b'])
dataset2 = Dataset.from_iterable([
DatasetItem(id=100, subset='train', image=np.ones((10, 6, 3)),
annotations=[
Bbox(1, 2, 3, 4, label=1),
Bbox(5, 6, 2, 3, label=2),
]),
], categories=['a', 'b', 'c'])
expected = Dataset.from_iterable([
DatasetItem(id=100, subset='train', image=np.ones((10, 6, 3)),
annotations=[
Bbox(1, 2, 3, 4, label=2, id=1, group=1,
attributes={'score': 0.5, 'occluded': False,
'difficult': False, 'truncated': False}),
Bbox(5, 6, 2, 3, label=3, id=2, group=2,
attributes={'score': 0.5, 'occluded': False,
'difficult': False, 'truncated': False}),
Bbox(1, 2, 3, 3, label=1, id=1, group=1,
attributes={'score': 0.5, 'is_crowd': False}),
]),
], categories={
AnnotationType.label: LabelCategories.from_iterable(
['background', 'a', 'b', 'c']),
AnnotationType.mask: MaskCategories(VOC.generate_colormap(4))
})
with TestDir() as test_dir:
dataset1_url = osp.join(test_dir, 'dataset1')
dataset2_url = osp.join(test_dir, 'dataset2')
dataset1.export(dataset1_url, 'coco', save_images=True)
dataset2.export(dataset2_url, 'voc', save_images=True)
proj_dir = osp.join(test_dir, 'proj')
with Project.init(proj_dir) as project:
project.import_source('source', dataset2_url, 'voc')
result_dir = osp.join(test_dir, 'cmp_result')
run(self, 'merge', dataset1_url + ':coco', '-o', result_dir,
'-p', proj_dir)
compare_datasets(self, expected, Dataset.load(result_dir),
require_images=True)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_can_run_multimerge(self):
dataset1 = Dataset.from_iterable([
DatasetItem(id=100, subset='train', image=np.ones((10, 6, 3)),
annotations=[
Bbox(1, 2, 3, 3, label=0),
]),
], categories=['a', 'b'])
dataset2 = Dataset.from_iterable([
DatasetItem(id=100, subset='train', image=np.ones((10, 6, 3)),
annotations=[
Bbox(1, 2, 3, 4, label=1),
Bbox(5, 6, 2, 3, label=2),
]),
], categories=['a', 'b', 'c'])
expected = Dataset.from_iterable([
DatasetItem(id=100, subset='train', image=np.ones((10, 6, 3)),
annotations=[
Bbox(1, 2, 3, 4, label=2, id=1, group=1,
attributes={'score': 0.5, 'occluded': False,
'difficult': False, 'truncated': False}),
Bbox(5, 6, 2, 3, label=3, id=2, group=2,
attributes={'score': 0.5, 'occluded': False,
'difficult': False, 'truncated': False}),
Bbox(1, 2, 3, 3, label=1, id=1, group=1,
attributes={'score': 0.5, 'is_crowd': False}),
]),
], categories={
AnnotationType.label: LabelCategories.from_iterable(
['background', 'a', 'b', 'c']),
AnnotationType.mask: MaskCategories(VOC.generate_colormap(4))
})
with TestDir() as test_dir:
dataset1_url = osp.join(test_dir, 'dataset1')
dataset2_url = osp.join(test_dir, 'dataset2')
dataset1.export(dataset1_url, 'coco', save_images=True)
dataset2.export(dataset2_url, 'voc', save_images=True)
result_dir = osp.join(test_dir, 'cmp_result')
run(self, 'merge', dataset2_url + ':voc', dataset1_url + ':coco',
'-o', result_dir)
compare_datasets(self, expected, Dataset.load(result_dir),
require_images=True)
| 41.533333 | 77 | 0.535112 | 555 | 4,984 | 4.675676 | 0.178378 | 0.009249 | 0.018497 | 0.02158 | 0.806166 | 0.799615 | 0.757611 | 0.757611 | 0.757611 | 0.757611 | 0 | 0.045306 | 0.326846 | 4,984 | 119 | 78 | 41.882353 | 0.728167 | 0 | 0 | 0.78 | 0 | 0 | 0.065209 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0 | 0.11 | 0 | 0.14 | 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 |
5e68cda50834de53b037be375850c97af8aa7320 | 3,261 | py | Python | labman/db/tests/test_configuration_manager.py | antgonza/labman | c3bb7a15cbfdbbf60a7b2b176fff207f99af0002 | [
"BSD-3-Clause"
] | null | null | null | labman/db/tests/test_configuration_manager.py | antgonza/labman | c3bb7a15cbfdbbf60a7b2b176fff207f99af0002 | [
"BSD-3-Clause"
] | null | null | null | labman/db/tests/test_configuration_manager.py | antgonza/labman | c3bb7a15cbfdbbf60a7b2b176fff207f99af0002 | [
"BSD-3-Clause"
] | null | null | null | # ----------------------------------------------------------------------------
# Copyright (c) 2017-, labman development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# ----------------------------------------------------------------------------
from unittest import main, TestCase
from tempfile import NamedTemporaryFile
from labman.db.configuration_manager import ConfigurationManager
class TestConfigurationManager(TestCase):
def test_create(self):
with NamedTemporaryFile() as tmp_f:
ConfigurationManager.create(
tmp_f.name, True, '/path/to/server.cert',
'/path/to/server.key', '/path/to/cookie_secret.bla', 'db_host',
'db_port', 'db_name', 'db_user', 'db_password',
'db_admin_user', 'db_admin_password',
'/path/to/logdir', '')
with open(tmp_f.name) as obs_f:
obs = obs_f.read()
obs = obs.splitlines()
exp = EXP_CONFIG_FILE.splitlines()
# Removing the first line as it contains a date that is generated
# when the test is run
self.assertEqual(obs[1:], exp)
def test_create_qiita(self):
with NamedTemporaryFile() as tmp_f:
ConfigurationManager.create(
tmp_f.name, True, '/path/to/server.cert',
'/path/to/server.key', '/path/to/cookie_secret.bla', 'db_host',
'db_port', 'db_name', 'db_user', 'db_password',
'db_admin_user', 'db_admin_password', '/path/to/logdir',
'server_cert')
with open(tmp_f.name) as obs_f:
obs = obs_f.read()
obs = obs.splitlines()
exp = EXP_CONFIG_FILE_QIITA.splitlines()
# Removing the first line as it contains a date that is generated
# when the test is run
self.assertEqual(obs[1:], exp)
EXP_CONFIG_FILE = """
# ------------------------- MAIN SETTINGS ----------------------------------
[main]
TEST_ENVIRONMENT=True
LOG_DIR=/path/to/logdir
CERTIFICATE_FILEPATH=/path/to/server.cert
KEY_FILEPATH=/path/to/server.key
COOKIE_SECRET=/path/to/cookie_secret.bla
# ----------------------- POSTGRES SETTINGS --------------------------------
[postgres]
USER=db_user
PASSWORD=db_password
ADMIN_USER=db_admin_user
ADMIN_PASSWORD=db_admin_password
DATABASE=db_name
HOST=db_host
PORT=db_port
# ------------------------- QIITA SETTINGS ----------------------------------
[qiita]
SERVER_CERT=
"""
EXP_CONFIG_FILE_QIITA = """
# ------------------------- MAIN SETTINGS ----------------------------------
[main]
TEST_ENVIRONMENT=True
LOG_DIR=/path/to/logdir
CERTIFICATE_FILEPATH=/path/to/server.cert
KEY_FILEPATH=/path/to/server.key
COOKIE_SECRET=/path/to/cookie_secret.bla
# ----------------------- POSTGRES SETTINGS --------------------------------
[postgres]
USER=db_user
PASSWORD=db_password
ADMIN_USER=db_admin_user
ADMIN_PASSWORD=db_admin_password
DATABASE=db_name
HOST=db_host
PORT=db_port
# ------------------------- QIITA SETTINGS ----------------------------------
[qiita]
SERVER_CERT=server_cert
"""
if __name__ == '__main__':
main()
| 30.764151 | 79 | 0.560871 | 367 | 3,261 | 4.73842 | 0.234332 | 0.055204 | 0.055204 | 0.036803 | 0.768258 | 0.768258 | 0.768258 | 0.768258 | 0.768258 | 0.768258 | 0 | 0.002293 | 0.197485 | 3,261 | 105 | 80 | 31.057143 | 0.662209 | 0.153021 | 0 | 0.756757 | 0 | 0 | 0.534545 | 0.308 | 0 | 0 | 0 | 0 | 0.027027 | 1 | 0.027027 | false | 0.108108 | 0.040541 | 0 | 0.081081 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
5e753f50df857f0a133dd97579a32997593132a9 | 131 | py | Python | engine/gui/__init__.py | UnidayStudio/Easy-2D-Game-Engine | 1a8501cba538d7542b0e24bf64eead388085480f | [
"MIT"
] | 8 | 2019-12-15T22:32:30.000Z | 2021-06-14T07:38:51.000Z | engine/gui/__init__.py | UnidayStudio/Easy-2D-Game-Engine | 1a8501cba538d7542b0e24bf64eead388085480f | [
"MIT"
] | null | null | null | engine/gui/__init__.py | UnidayStudio/Easy-2D-Game-Engine | 1a8501cba538d7542b0e24bf64eead388085480f | [
"MIT"
] | 2 | 2020-09-10T17:34:23.000Z | 2021-03-11T09:26:26.000Z | from engine.gui.canvas import *
from engine.gui.button import *
from engine.gui.textbox import *
from engine.gui.healthbar import * | 32.75 | 34 | 0.793893 | 20 | 131 | 5.2 | 0.4 | 0.384615 | 0.5 | 0.548077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114504 | 131 | 4 | 34 | 32.75 | 0.896552 | 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 | 0 | 0 | 0 | 7 |
5e892658b84fdb156845395d1e238c94bcc5818e | 22,551 | py | Python | PMoE/model/augmenter.py | iasbs-isg/PMoE | 37a273ff393e4f43c38c7fff9271218efe1d3bd1 | [
"MIT"
] | null | null | null | PMoE/model/augmenter.py | iasbs-isg/PMoE | 37a273ff393e4f43c38c7fff9271218efe1d3bd1 | [
"MIT"
] | 1 | 2021-09-29T18:46:45.000Z | 2021-09-29T18:46:45.000Z | PMoE/model/augmenter.py | iasbs-isg/PMoE | 37a273ff393e4f43c38c7fff9271218efe1d3bd1 | [
"MIT"
] | 1 | 2021-09-29T18:50:12.000Z | 2021-09-29T18:50:12.000Z | #######################################################################################################
# This file is borrowed from COiLTRAiNE https://github.com/felipecode/coiltraine by Felipe Codevilla #
# COiLTRAiNE itself is under MIT License #
#######################################################################################################
from PIL import Image
from typing import Optional
import numpy as np
import torch
from imgaug import augmenters as iaa
DEBUG = False
def get_augmenter(
iteration: Optional[int] = 1, bsz: Optional[int] = 32, aug_type: str = "medium"
):
if aug_type == "medium":
return medium(iteration, bsz)
elif aug_type == "soft":
return soft(iteration, bsz)
elif aug_type == "high":
return high(iteration, bsz)
elif aug_type == "medium_harder":
return medium_harder(iteration, bsz)
elif aug_type == "super_hard":
return super_hard(iteration, bsz)
elif aug_type == "custom":
return custom(iteration, bsz)
elif aug_type == "soft_harder":
return soft_harder(iteration, bsz)
elif aug_type == "segmentation":
return seg_aug()
else:
raise ValueError(
"Unknown augmentation, value should be one of"
"'medium', 'high', 'medium_harder', 'super_hard', 'soft_harder', 'custom'"
)
class Crop:
def __init__(self, crop_size):
self.top = crop_size[0]
self.bottom = crop_size[1]
def __call__(self, img):
return Image.fromarray(img[self.top : -self.bottom])
class MaskPILToTensor:
def __call__(self, img):
return torch.from_numpy(np.array(img)).long()
def seg_aug():
augmenter = iaa.Sequential(
[
iaa.Sometimes(0.3, iaa.GaussianBlur()),
# blur images with a sigma between 0 and 1.5
iaa.Sometimes(0.3, iaa.AdditiveGaussianNoise(per_channel=True)),
# add gaussian noise to images
iaa.Sometimes(
0.1, iaa.CoarseDropout(size_percent=(0.08, 0.2), per_channel=True)
),
# randomly remove up to X% of the pixels
iaa.Sometimes(0.1, iaa.Dropout(per_channel=True)),
# randomly remove up to X% of the pixels
iaa.Sometimes(0.2, iaa.LinearContrast(per_channel=True)),
# improve or worsen the contrast
],
random_order=True, # do all of the above in random order
)
return augmenter
def medium(image_iteration: int = 1, bsz: int = 32):
iteration = image_iteration / (bsz * 1.5)
frequency_factor = 0.05 + float(iteration) / 1000000.0
color_factor = float(iteration) / 1000000.0
dropout_factor = 0.198667 + (0.03856658 - 0.198667) / (
1 + (iteration / 196416.6) ** 1.863486
)
blur_factor = 0.5 + (0.5 * iteration / 100000.0)
add_factor = 10 + 10 * iteration / 150000.0
multiply_factor_pos = 1 + (2.5 * iteration / 500000.0)
multiply_factor_neg = 1 - (0.91 * iteration / 500000.0)
contrast_factor_pos = 1 + (0.5 * iteration / 500000.0)
contrast_factor_neg = 1 - (0.5 * iteration / 500000.0)
if DEBUG:
print(
f"Augment Status: {frequency_factor = }, {color_factor = }, {dropout_factor = }, "
f"{blur_factor = }, {add_factor = }, "
f"{multiply_factor_pos = }, {multiply_factor_neg = }, "
f"{contrast_factor_pos = }, {contrast_factor_neg = }"
)
augmenter = iaa.Sequential(
[
iaa.Sometimes(frequency_factor, iaa.GaussianBlur((0, blur_factor))),
# blur images with a sigma between 0 and 1.5
iaa.Sometimes(
frequency_factor,
iaa.AdditiveGaussianNoise(
loc=0, scale=(0.0, dropout_factor), per_channel=color_factor
),
),
# add gaussian noise to images
iaa.Sometimes(
frequency_factor,
iaa.CoarseDropout(
(0.0, dropout_factor),
size_percent=(0.08, 0.2),
per_channel=color_factor,
),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Dropout((0.0, dropout_factor), per_channel=color_factor),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Add((-add_factor, add_factor), per_channel=color_factor),
),
# change brightness of images (by -X to Y of original value)
iaa.Sometimes(
frequency_factor,
iaa.Multiply(
(multiply_factor_neg, multiply_factor_pos), per_channel=color_factor
),
),
# change brightness of images (X-Y% of original value)
iaa.Sometimes(
frequency_factor,
iaa.LinearContrast(
(contrast_factor_neg, contrast_factor_pos), per_channel=color_factor
),
),
# improve or worsen the contrast
iaa.Sometimes(frequency_factor, iaa.Grayscale((0.0, 1))), # put grayscale
],
random_order=True, # do all of the above in random order
)
return augmenter
def soft(image_iteration: int = 1, bsz: int = 32):
iteration = image_iteration / (bsz * 1.5)
frequency_factor = 0.05 + float(iteration) / 1200000.0
color_factor = float(iteration) / 1200000.0
dropout_factor = 0.198667 + (0.03856658 - 0.198667) / (
1 + (iteration / 196416.6) ** 1.863486
)
blur_factor = 0.5 + (0.5 * iteration / 120000.0)
add_factor = 10 + 10 * iteration / 170000.0
multiply_factor_pos = 1 + (2.5 * iteration / 800000.0)
multiply_factor_neg = 1 - (0.91 * iteration / 800000.0)
contrast_factor_pos = 1 + (0.5 * iteration / 800000.0)
contrast_factor_neg = 1 - (0.5 * iteration / 800000.0)
if DEBUG:
print(
f"Augment Status: {frequency_factor = }, {color_factor = }, {dropout_factor = }, "
f"{blur_factor = }, {add_factor = }, "
f"{multiply_factor_pos = }, {multiply_factor_neg = }, "
f"{contrast_factor_pos = }, {contrast_factor_neg = }"
)
augmenter = iaa.Sequential(
[
iaa.Sometimes(frequency_factor, iaa.GaussianBlur((0, blur_factor))),
# blur images with a sigma between 0 and 1.5
iaa.Sometimes(
frequency_factor,
iaa.AdditiveGaussianNoise(
loc=0, scale=(0.0, dropout_factor), per_channel=color_factor
),
),
# add gaussian noise to images
iaa.Sometimes(
frequency_factor,
iaa.CoarseDropout(
(0.0, dropout_factor),
size_percent=(0.08, 0.2),
per_channel=color_factor,
),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Dropout((0.0, dropout_factor), per_channel=color_factor),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Add((-add_factor, add_factor), per_channel=color_factor),
),
# change brightness of images (by -X to Y of original value)
iaa.Sometimes(
frequency_factor,
iaa.Multiply(
(multiply_factor_neg, multiply_factor_pos), per_channel=color_factor
),
),
# change brightness of images (X-Y% of original value)
iaa.Sometimes(
frequency_factor,
iaa.LinearContrast(
(contrast_factor_neg, contrast_factor_pos), per_channel=color_factor
),
),
# improve or worsen the contrast
iaa.Sometimes(frequency_factor, iaa.Grayscale((0.0, 1))), # put grayscale
],
random_order=True, # do all of the above in random order
)
return augmenter
def high(image_iteration: int = 1, bsz: int = 32):
iteration = image_iteration / (bsz * 1.5)
frequency_factor = 0.05 + float(iteration) / 800000.0
color_factor = float(iteration) / 800000.0
dropout_factor = 0.198667 + (0.03856658 - 0.198667) / (
1 + (iteration / 196416.6) ** 1.863486
)
blur_factor = 0.5 + (0.5 * iteration / 80000.0)
add_factor = 10 + 10 * iteration / 120000.0
multiply_factor_pos = 1 + (2.5 * iteration / 350000.0)
multiply_factor_neg = 1 - (0.91 * iteration / 400000.0)
contrast_factor_pos = 1 + (0.5 * iteration / 350000.0)
contrast_factor_neg = 1 - (0.5 * iteration / 400000.0)
if DEBUG:
print(
f"Augment Status: {frequency_factor = }, {color_factor = }, {dropout_factor = }, "
f"{blur_factor = }, {add_factor = }, "
f"{multiply_factor_pos = }, {multiply_factor_neg = }, "
f"{contrast_factor_pos = }, {contrast_factor_neg = }"
)
augmenter = iaa.Sequential(
[
iaa.Sometimes(frequency_factor, iaa.GaussianBlur((0, blur_factor))),
# blur images with a sigma between 0 and 1.5
iaa.Sometimes(
frequency_factor,
iaa.AdditiveGaussianNoise(
loc=0, scale=(0.0, dropout_factor), per_channel=color_factor
),
),
# add gaussian noise to images
iaa.Sometimes(
frequency_factor,
iaa.CoarseDropout(
(0.0, dropout_factor),
size_percent=(0.08, 0.2),
per_channel=color_factor,
),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Dropout((0.0, dropout_factor), per_channel=color_factor),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Add((-add_factor, add_factor), per_channel=color_factor),
),
# change brightness of images (by -X to Y of original value)
iaa.Sometimes(
frequency_factor,
iaa.Multiply(
(multiply_factor_neg, multiply_factor_pos), per_channel=color_factor
),
),
# change brightness of images (X-Y% of original value)
iaa.Sometimes(
frequency_factor,
iaa.LinearContrast(
(contrast_factor_neg, contrast_factor_pos), per_channel=color_factor
),
),
# improve or worsen the contrast
iaa.Sometimes(frequency_factor, iaa.Grayscale((0.0, 1))), # put grayscale
],
random_order=True, # do all of the above in random order
)
return augmenter
def medium_harder(image_iteration: int = 1, bsz: int = 32):
iteration = image_iteration / bsz
frequency_factor = 0.05 + float(iteration) / 1000000.0
color_factor = float(iteration) / 1000000.0
dropout_factor = 0.198667 + (0.03856658 - 0.198667) / (
1 + (iteration / 196416.6) ** 1.863486
)
blur_factor = 0.5 + (0.5 * iteration / 100000.0)
add_factor = 10 + 10 * iteration / 150000.0
multiply_factor_pos = 1 + (2.5 * iteration / 500000.0)
multiply_factor_neg = 1 - (0.91 * iteration / 500000.0)
contrast_factor_pos = 1 + (0.5 * iteration / 500000.0)
contrast_factor_neg = 1 - (0.5 * iteration / 500000.0)
if DEBUG:
print(
f"Augment Status: {frequency_factor = }, {color_factor = }, {dropout_factor = }, "
f"{blur_factor = }, {add_factor = }, "
f"{multiply_factor_pos = }, {multiply_factor_neg = }, "
f"{contrast_factor_pos = }, {contrast_factor_neg = }"
)
augmenter = iaa.Sequential(
[
iaa.Sometimes(frequency_factor, iaa.GaussianBlur((0, blur_factor))),
# blur images with a sigma between 0 and 1.5
iaa.Sometimes(
frequency_factor,
iaa.AdditiveGaussianNoise(
loc=0, scale=(0.0, dropout_factor), per_channel=color_factor
),
),
# add gaussian noise to images
iaa.Sometimes(
frequency_factor,
iaa.CoarseDropout(
(0.0, dropout_factor),
size_percent=(0.08, 0.2),
per_channel=color_factor,
),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Dropout((0.0, dropout_factor), per_channel=color_factor),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Add((-add_factor, add_factor), per_channel=color_factor),
),
# change brightness of images (by -X to Y of original value)
iaa.Sometimes(
frequency_factor,
iaa.Multiply(
(multiply_factor_neg, multiply_factor_pos), per_channel=color_factor
),
),
# change brightness of images (X-Y% of original value)
iaa.Sometimes(
frequency_factor,
iaa.LinearContrast(
(contrast_factor_neg, contrast_factor_pos), per_channel=color_factor
),
),
# improve or worsen the contrast
iaa.Sometimes(frequency_factor, iaa.Grayscale((0.0, 1))), # put grayscale
],
random_order=True, # do all of the above in random order
)
return augmenter
def super_hard(image_iteration: int = 1, bsz: int = 32):
"""
modified
"""
iteration = image_iteration / bsz
frequency_factor = min(0.05 + float(iteration) / 50000.0, 1.0)
color_factor = float(iteration) / 100000.0
dropout_factor = 0.198667 + (0.03856658 - 0.198667) / (
1 + (iteration / 196416.6) ** 1.863486
)
blur_factor = 0.5 + (0.5 * iteration / 100000.0)
add_factor = 10 + 10 * iteration / 100000.0
multiply_factor_pos = 1 + (2.5 * iteration / 200000.0)
multiply_factor_neg = 1 - (0.91 * iteration / 500000.0)
contrast_factor_pos = 1 + (0.5 * iteration / 500000.0)
contrast_factor_neg = 1 - (0.5 * iteration / 500000.0)
if DEBUG:
print(
f"Augment Status: {frequency_factor = }, {color_factor = }, {dropout_factor = }, "
f"{blur_factor = }, {add_factor = }, "
f"{multiply_factor_pos = }, {multiply_factor_neg = }, "
f"{contrast_factor_pos = }, {contrast_factor_neg = }"
)
augmenter = iaa.Sequential(
[
iaa.Sometimes(frequency_factor, iaa.GaussianBlur((0, blur_factor))),
# blur images with a sigma between 0 and 1.5
iaa.Sometimes(
frequency_factor,
iaa.AdditiveGaussianNoise(
loc=0, scale=(0.0, dropout_factor), per_channel=color_factor
),
),
# add gaussian noise to images
iaa.Sometimes(
frequency_factor,
iaa.CoarseDropout(
(0.0, dropout_factor),
size_percent=(0.08, 0.2),
per_channel=color_factor,
),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Dropout((0.0, dropout_factor), per_channel=color_factor),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Add((-add_factor, add_factor), per_channel=color_factor),
),
# change brightness of images (by -X to Y of original value)
iaa.Sometimes(
frequency_factor,
iaa.Multiply(
(multiply_factor_neg, multiply_factor_pos), per_channel=color_factor
),
),
# change brightness of images (X-Y% of original value)
iaa.Sometimes(
frequency_factor,
iaa.LinearContrast(
(contrast_factor_neg, contrast_factor_pos), per_channel=color_factor
),
),
# improve or worsen the contrast
# iaa.Sometimes(frequency_factor, iaa.Grayscale((0.0, 1))), # put grayscale
],
random_order=True, # do all of the above in random order
)
return augmenter
def custom(image_iteration: int = 1, bsz: int = 32):
"""
modified
"""
iteration = image_iteration / bsz
frequency_factor = min(0.05 + float(iteration) / 50000.0, 1.0)
color_factor = float(iteration) / 100000.0
dropout_factor = 0.198667 + (0.03856658 - 0.198667) / (
1 + (iteration / 196416.6) ** 1.863486
)
blur_factor = 0.5 + (0.5 * iteration / 20000.0)
# add_factor = 10 + 10 * iteration / 100000.0
# print (add_factor)
# multiply_factor_pos = 1 + (2.5 * iteration / 300000.0)
# multiply_factor_neg = 1 - (0.91 * iteration / 300000.0)
#
# contrast_factor_pos = 1 + (0.2 * iteration / 500000.0)
# contrast_factor_neg = 1 - (0.5 * iteration / 500000.0)
if DEBUG:
print(
f"Augment Status: {frequency_factor = }, {color_factor = }, {dropout_factor = }, "
f"{blur_factor = }"
)
augmenter = iaa.Sequential(
[
iaa.Sometimes(frequency_factor, iaa.GaussianBlur((0, blur_factor))),
# blur images with a sigma between 0 and 1.5
iaa.Sometimes(
frequency_factor,
iaa.AdditiveGaussianNoise(
loc=0, scale=(0.0, dropout_factor), per_channel=color_factor
),
),
# # add gaussian noise to images
# iaa.Sometimes(frequency_factor, iaa.CoarseDropout((0.0, dropout_factor), size_percent=(
# 0.08, 0.2), per_channel=color_factor)),
# # randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Dropout((0.0, dropout_factor), per_channel=color_factor),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(frequency_factor, iaa.Add((-30, 30), per_channel=False)),
# # change brightness of images (by -X to Y of original value)
iaa.Sometimes(frequency_factor, iaa.Multiply((0.9, 1.3), per_channel=True)),
# # change brightness of images (X-Y% of original value)
# iaa.Sometimes(frequency_factor, iaa.LinearContrast((0.1,0.5),
# per_channel=True)),
# improve or worsen the contrast
# iaa.Sometimes(frequency_factor, iaa.Grayscale((0.0, 1))), # put grayscale
],
random_order=True, # do all of the above in random order
)
return augmenter
def soft_harder(image_iteration: int = 1, bsz: int = 32):
iteration = image_iteration / bsz
frequency_factor = 0.05 + float(iteration) / 1200000.0
color_factor = float(iteration) / 1200000.0
dropout_factor = 0.198667 + (0.03856658 - 0.198667) / (
1 + (iteration / 196416.6) ** 1.863486
)
blur_factor = 0.5 + (0.5 * iteration / 120000.0)
add_factor = 10 + 10 * iteration / 170000.0
multiply_factor_pos = 1 + (2.5 * iteration / 800000.0)
multiply_factor_neg = 1 - (0.91 * iteration / 800000.0)
contrast_factor_pos = 1 + (0.5 * iteration / 800000.0)
contrast_factor_neg = 1 - (0.5 * iteration / 800000.0)
if DEBUG:
print(
f"Augment Status: {frequency_factor = }, {color_factor = }, {dropout_factor = }, "
f"{blur_factor = }, {add_factor = }, "
f"{multiply_factor_pos = }, {multiply_factor_neg = }, "
f"{contrast_factor_pos = }, {contrast_factor_neg = }"
)
augmenter = iaa.Sequential(
[
iaa.Sometimes(frequency_factor, iaa.GaussianBlur((0, blur_factor))),
# blur images with a sigma between 0 and 1.5
iaa.Sometimes(
frequency_factor,
iaa.AdditiveGaussianNoise(
loc=0, scale=(0.0, dropout_factor), per_channel=color_factor
),
),
# add gaussian noise to images
iaa.Sometimes(
frequency_factor,
iaa.CoarseDropout(
(0.0, dropout_factor),
size_percent=(0.08, 0.2),
per_channel=color_factor,
),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Dropout((0.0, dropout_factor), per_channel=color_factor),
),
# randomly remove up to X% of the pixels
iaa.Sometimes(
frequency_factor,
iaa.Add((-add_factor, add_factor), per_channel=color_factor),
),
# change brightness of images (by -X to Y of original value)
iaa.Sometimes(
frequency_factor,
iaa.Multiply(
(multiply_factor_neg, multiply_factor_pos), per_channel=color_factor
),
),
# change brightness of images (X-Y% of original value)
iaa.Sometimes(
frequency_factor,
iaa.LinearContrast(
(contrast_factor_neg, contrast_factor_pos), per_channel=color_factor
),
),
# improve or worsen the contrast
iaa.Sometimes(frequency_factor, iaa.Grayscale((0.0, 1))), # put grayscale
],
random_order=True, # do all of the above in random order
)
return augmenter
| 36.787928 | 103 | 0.540952 | 2,477 | 22,551 | 4.733952 | 0.067017 | 0.089545 | 0.10029 | 0.128944 | 0.920092 | 0.904059 | 0.890841 | 0.885298 | 0.860737 | 0.860737 | 0 | 0.070229 | 0.350273 | 22,551 | 612 | 104 | 36.848039 | 0.730071 | 0.156179 | 0 | 0.79386 | 0 | 0 | 0.084425 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026316 | false | 0 | 0.010965 | 0.004386 | 0.08114 | 0.015351 | 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 |
0d6fdbe09d2eb0915ca9be11f7895c6f1a54a098 | 31,860 | py | Python | pyteal/compiler/compiler_test.py | CiottiGiorgio/pyteal | 9646a1aa479786c1e80d6a3821d5db1e6c4a16e2 | [
"MIT"
] | null | null | null | pyteal/compiler/compiler_test.py | CiottiGiorgio/pyteal | 9646a1aa479786c1e80d6a3821d5db1e6c4a16e2 | [
"MIT"
] | 1 | 2022-03-04T14:57:57.000Z | 2022-03-04T14:57:57.000Z | pyteal/compiler/compiler_test.py | CiottiGiorgio/pyteal | 9646a1aa479786c1e80d6a3821d5db1e6c4a16e2 | [
"MIT"
] | null | null | null | import pytest
import pyteal as pt
def test_compile_single():
expr = pt.Int(1)
expected = """
#pragma version 2
int 1
return
""".strip()
actual_application = pt.compileTeal(expr, pt.Mode.Application)
actual_signature = pt.compileTeal(expr, pt.Mode.Signature)
assert actual_application == actual_signature
assert actual_application == expected
def test_compile_sequence():
expr = pt.Seq([pt.Pop(pt.Int(1)), pt.Pop(pt.Int(2)), pt.Int(3) + pt.Int(4)])
expected = """
#pragma version 2
int 1
pop
int 2
pop
int 3
int 4
+
return
""".strip()
actual_application = pt.compileTeal(expr, pt.Mode.Application)
actual_signature = pt.compileTeal(expr, pt.Mode.Signature)
assert actual_application == actual_signature
assert actual_application == expected
def test_compile_branch():
expr = pt.If(pt.Int(1)).Then(pt.Int(2)).Else(pt.Int(3))
expected = """
#pragma version 2
int 1
bnz main_l2
int 3
b main_l3
main_l2:
int 2
main_l3:
return
""".strip()
actual_application = pt.compileTeal(expr, pt.Mode.Application)
actual_signature = pt.compileTeal(expr, pt.Mode.Signature)
assert actual_application == actual_signature
assert actual_application == expected
def test_compile_branch_multiple():
expr = (
pt.If(pt.Int(1))
.Then(pt.Int(2))
.ElseIf(pt.Int(3))
.Then(pt.Int(4))
.Else(pt.Int(5))
)
expected = """
#pragma version 2
int 1
bnz main_l4
int 3
bnz main_l3
int 5
b main_l5
main_l3:
int 4
b main_l5
main_l4:
int 2
main_l5:
return
""".strip()
actual_application = pt.compileTeal(expr, pt.Mode.Application)
actual_signature = pt.compileTeal(expr, pt.Mode.Signature)
assert actual_application == actual_signature
assert actual_application == expected
def test_empty_branch():
program = pt.Seq(
[
pt.If(pt.Txn.application_id() == pt.Int(0)).Then(pt.Seq()),
pt.Approve(),
]
)
expected = """#pragma version 5
txn ApplicationID
int 0
==
bnz main_l1
main_l1:
int 1
return
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=5, assembleConstants=False
)
assert actual == expected
def test_compile_mode():
expr = pt.App.globalGet(pt.Bytes("key"))
expected = """
#pragma version 2
byte "key"
app_global_get
return
""".strip()
actual_application = pt.compileTeal(expr, pt.Mode.Application)
assert actual_application == expected
with pytest.raises(pt.TealInputError):
pt.compileTeal(expr, pt.Mode.Signature)
def test_compile_version_invalid():
expr = pt.Int(1)
with pytest.raises(pt.TealInputError):
pt.compileTeal(expr, pt.Mode.Signature, version=1) # too small
with pytest.raises(pt.TealInputError):
pt.compileTeal(expr, pt.Mode.Signature, version=7) # too large
with pytest.raises(pt.TealInputError):
pt.compileTeal(expr, pt.Mode.Signature, version=2.0) # decimal
def test_compile_version_2():
expr = pt.Int(1)
expected = """
#pragma version 2
int 1
return
""".strip()
actual = pt.compileTeal(expr, pt.Mode.Signature, version=2)
assert actual == expected
def test_compile_version_default():
expr = pt.Int(1)
actual_default = pt.compileTeal(expr, pt.Mode.Signature)
actual_version_2 = pt.compileTeal(expr, pt.Mode.Signature, version=2)
assert actual_default == actual_version_2
def test_compile_version_3():
expr = pt.Int(1)
expected = """
#pragma version 3
int 1
return
""".strip()
actual = pt.compileTeal(expr, pt.Mode.Signature, version=3)
assert actual == expected
def test_compile_version_4():
expr = pt.Int(1)
expected = """
#pragma version 4
int 1
return
""".strip()
actual = pt.compileTeal(expr, pt.Mode.Signature, version=4)
assert actual == expected
def test_compile_version_5():
expr = pt.Int(1)
expected = """
#pragma version 5
int 1
return
""".strip()
actual = pt.compileTeal(expr, pt.Mode.Signature, version=5)
assert actual == expected
def test_compile_version_6():
expr = pt.Int(1)
expected = """
#pragma version 6
int 1
return
""".strip()
actual = pt.compileTeal(expr, pt.Mode.Signature, version=6)
assert actual == expected
def test_slot_load_before_store():
program = pt.AssetHolding.balance(pt.Int(0), pt.Int(0)).value()
with pytest.raises(pt.TealInternalError):
pt.compileTeal(program, pt.Mode.Application, version=2)
program = pt.AssetHolding.balance(pt.Int(0), pt.Int(0)).hasValue()
with pytest.raises(pt.TealInternalError):
pt.compileTeal(program, pt.Mode.Application, version=2)
program = pt.App.globalGetEx(pt.Int(0), pt.Bytes("key")).value()
with pytest.raises(pt.TealInternalError):
pt.compileTeal(program, pt.Mode.Application, version=2)
program = pt.App.globalGetEx(pt.Int(0), pt.Bytes("key")).hasValue()
with pytest.raises(pt.TealInternalError):
pt.compileTeal(program, pt.Mode.Application, version=2)
program = pt.ScratchVar().load()
with pytest.raises(pt.TealInternalError):
pt.compileTeal(program, pt.Mode.Application, version=2)
def test_assign_scratch_slots():
myScratch = pt.ScratchVar(pt.TealType.uint64)
otherScratch = pt.ScratchVar(pt.TealType.uint64, 1)
anotherScratch = pt.ScratchVar(pt.TealType.uint64, 0)
lastScratch = pt.ScratchVar(pt.TealType.uint64)
prog = pt.Seq(
[
myScratch.store(pt.Int(5)), # Slot 2
otherScratch.store(pt.Int(0)), # Slot 1
anotherScratch.store(pt.Int(7)), # Slot 0
lastScratch.store(pt.Int(9)), # Slot 3
pt.Approve(),
]
)
expected = """
#pragma version 4
int 5
store 2
int 0
store 1
int 7
store 0
int 9
store 3
int 1
return
""".strip()
actual = pt.compileTeal(prog, mode=pt.Mode.Signature, version=4)
assert actual == expected
def test_scratchvar_double_assign_invalid():
myvar = pt.ScratchVar(pt.TealType.uint64, 10)
otherVar = pt.ScratchVar(pt.TealType.uint64, 10)
prog = pt.Seq([myvar.store(pt.Int(5)), otherVar.store(pt.Int(0)), pt.Approve()])
with pytest.raises(pt.TealInternalError):
pt.compileTeal(prog, mode=pt.Mode.Signature, version=4)
def test_assembleConstants():
program = pt.Itob(pt.Int(1) + pt.Int(1) + pt.Tmpl.Int("TMPL_VAR")) == pt.Concat(
pt.Bytes("test"), pt.Bytes("test"), pt.Bytes("test2")
)
expectedNoAssemble = """
#pragma version 3
int 1
int 1
+
int TMPL_VAR
+
itob
byte "test"
byte "test"
concat
byte "test2"
concat
==
return
""".strip()
actualNoAssemble = pt.compileTeal(
program, pt.Mode.Application, version=3, assembleConstants=False
)
assert expectedNoAssemble == actualNoAssemble
expectedAssemble = """
#pragma version 3
intcblock 1
bytecblock 0x74657374
intc_0 // 1
intc_0 // 1
+
pushint TMPL_VAR // TMPL_VAR
+
itob
bytec_0 // "test"
bytec_0 // "test"
concat
pushbytes 0x7465737432 // "test2"
concat
==
return
""".strip()
actualAssemble = pt.compileTeal(
program, pt.Mode.Application, version=3, assembleConstants=True
)
assert expectedAssemble == actualAssemble
with pytest.raises(pt.TealInternalError):
pt.compileTeal(program, pt.Mode.Application, version=2, assembleConstants=True)
def test_compile_while():
i = pt.ScratchVar()
program = pt.Seq(
[
i.store(pt.Int(0)),
pt.While(i.load() < pt.Int(2)).Do(pt.Seq([i.store(i.load() + pt.Int(1))])),
pt.Approve(),
]
)
expected = """
#pragma version 4
int 0
store 0
main_l1:
load 0
int 2
<
bz main_l3
load 0
int 1
+
store 0
b main_l1
main_l3:
int 1
return
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert expected == actual
# nested
i = pt.ScratchVar()
j = pt.ScratchVar()
program = pt.Seq(
[
i.store(pt.Int(0)),
pt.While(i.load() < pt.Int(2)).Do(
pt.Seq(
[
j.store(pt.Int(0)),
pt.While(j.load() < pt.Int(5)).Do(
pt.Seq([j.store(j.load() + pt.Int(1))])
),
i.store(i.load() + pt.Int(1)),
]
)
),
pt.Approve(),
]
)
expected = """#pragma version 4
int 0
store 0
main_l1:
load 0
int 2
<
bz main_l6
int 0
store 1
main_l3:
load 1
int 5
<
bnz main_l5
load 0
int 1
+
store 0
b main_l1
main_l5:
load 1
int 1
+
store 1
b main_l3
main_l6:
int 1
return
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert expected == actual
def test_compile_for():
i = pt.ScratchVar()
program = pt.Seq(
[
pt.For(
i.store(pt.Int(0)), i.load() < pt.Int(10), i.store(i.load() + pt.Int(1))
).Do(pt.Seq([pt.App.globalPut(pt.Itob(i.load()), i.load() * pt.Int(2))])),
pt.Approve(),
]
)
expected = """#pragma version 4
int 0
store 0
main_l1:
load 0
int 10
<
bz main_l3
load 0
itob
load 0
int 2
*
app_global_put
load 0
int 1
+
store 0
b main_l1
main_l3:
int 1
return
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert expected == actual
# nested
i = pt.ScratchVar()
j = pt.ScratchVar()
program = pt.Seq(
[
pt.For(
i.store(pt.Int(0)), i.load() < pt.Int(10), i.store(i.load() + pt.Int(1))
).Do(
pt.Seq(
[
pt.For(
j.store(pt.Int(0)),
j.load() < pt.Int(4),
j.store(j.load() + pt.Int(2)),
).Do(
pt.Seq(
[
pt.App.globalPut(
pt.Itob(j.load()), j.load() * pt.Int(2)
)
]
)
)
]
)
),
pt.Approve(),
]
)
expected = """#pragma version 4
int 0
store 0
main_l1:
load 0
int 10
<
bz main_l6
int 0
store 1
main_l3:
load 1
int 4
<
bnz main_l5
load 0
int 1
+
store 0
b main_l1
main_l5:
load 1
itob
load 1
int 2
*
app_global_put
load 1
int 2
+
store 1
b main_l3
main_l6:
int 1
return
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert expected == actual
def test_compile_break():
# pt.While
i = pt.ScratchVar()
program = pt.Seq(
[
i.store(pt.Int(0)),
pt.While(i.load() < pt.Int(3)).Do(
pt.Seq(
[
pt.If(i.load() == pt.Int(2), pt.Break()),
i.store(i.load() + pt.Int(1)),
]
)
),
pt.Approve(),
]
)
expected = """#pragma version 4
int 0
store 0
main_l1:
load 0
int 3
<
bz main_l4
load 0
int 2
==
bnz main_l4
load 0
int 1
+
store 0
b main_l1
main_l4:
int 1
return
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert expected == actual
# pt.For
i = pt.ScratchVar()
program = pt.Seq(
[
pt.For(
i.store(pt.Int(0)), i.load() < pt.Int(10), i.store(i.load() + pt.Int(1))
).Do(
pt.Seq(
[
pt.If(i.load() == pt.Int(4), pt.Break()),
pt.App.globalPut(pt.Itob(i.load()), i.load() * pt.Int(2)),
]
)
),
pt.Approve(),
]
)
expected = """#pragma version 4
int 0
store 0
main_l1:
load 0
int 10
<
bz main_l4
load 0
int 4
==
bnz main_l4
load 0
itob
load 0
int 2
*
app_global_put
load 0
int 1
+
store 0
b main_l1
main_l4:
int 1
return
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert expected == actual
def test_compile_continue():
# pt.While
i = pt.ScratchVar()
program = pt.Seq(
[
i.store(pt.Int(0)),
pt.While(i.load() < pt.Int(3)).Do(
pt.Seq(
[
pt.If(i.load() == pt.Int(2), pt.Continue()),
i.store(i.load() + pt.Int(1)),
]
)
),
pt.Approve(),
]
)
expected = """#pragma version 4
int 0
store 0
main_l1:
load 0
int 3
<
bz main_l4
load 0
int 2
==
bnz main_l1
load 0
int 1
+
store 0
b main_l1
main_l4:
int 1
return
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert expected == actual
# pt.While
program = pt.Seq(
i.store(pt.Int(0)),
pt.While(i.load() < pt.Int(30)).Do(
pt.Seq(
i.store(i.load() + pt.Int(1)),
pt.Continue(),
)
),
pt.Return(pt.Int(1)),
)
expected = """#pragma version 4
int 0
store 0
main_l1:
load 0
int 30
<
bz main_l3
load 0
int 1
+
store 0
b main_l1
main_l3:
int 1
return
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert expected == actual
# pt.For
i = pt.ScratchVar()
program = pt.Seq(
[
pt.For(
i.store(pt.Int(0)), i.load() < pt.Int(10), i.store(i.load() + pt.Int(1))
).Do(
pt.Seq(
[
pt.If(i.load() == pt.Int(4), pt.Continue()),
pt.App.globalPut(pt.Itob(i.load()), i.load() * pt.Int(2)),
]
)
),
pt.Approve(),
]
)
expected = """#pragma version 4
int 0
store 0
main_l1:
load 0
int 10
<
bz main_l5
load 0
int 4
==
bnz main_l4
load 0
itob
load 0
int 2
*
app_global_put
main_l4:
load 0
int 1
+
store 0
b main_l1
main_l5:
int 1
return
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert expected == actual
def test_compile_continue_break_nested():
i = pt.ScratchVar()
program = pt.Seq(
[
i.store(pt.Int(0)),
pt.While(i.load() < pt.Int(10)).Do(
pt.Seq(
[
i.store(i.load() + pt.Int(1)),
pt.If(i.load() < pt.Int(4), pt.Continue(), pt.Break()),
]
)
),
pt.Approve(),
]
)
expected = """#pragma version 4
int 0
store 0
main_l1:
load 0
int 10
<
bz main_l3
load 0
int 1
+
store 0
load 0
int 4
<
bnz main_l1
main_l3:
int 1
return
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert expected == actual
i = pt.ScratchVar()
program = pt.Seq(
[
i.store(pt.Int(0)),
pt.While(i.load() < pt.Int(10)).Do(
pt.Seq(
[
pt.If(i.load() == pt.Int(8), pt.Break()),
pt.While(i.load() < pt.Int(6)).Do(
pt.Seq(
[
pt.If(i.load() == pt.Int(3), pt.Break()),
i.store(i.load() + pt.Int(1)),
]
)
),
pt.If(i.load() < pt.Int(5), pt.Continue()),
i.store(i.load() + pt.Int(1)),
]
)
),
pt.Approve(),
]
)
expected = """#pragma version 4
int 0
store 0
main_l1:
load 0
int 10
<
bz main_l8
load 0
int 8
==
bnz main_l8
main_l3:
load 0
int 6
<
bnz main_l6
main_l4:
load 0
int 5
<
bnz main_l1
load 0
int 1
+
store 0
b main_l1
main_l6:
load 0
int 3
==
bnz main_l4
load 0
int 1
+
store 0
b main_l3
main_l8:
int 1
return
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert expected == actual
def test_compile_subroutine_unsupported():
@pt.Subroutine(pt.TealType.none)
def storeValue(value: pt.Expr) -> pt.Expr:
return pt.App.globalPut(pt.Bytes("key"), value)
program = pt.Seq(
[
pt.If(pt.Txn.sender() == pt.Global.creator_address()).Then(
storeValue(pt.Txn.application_args[0])
),
pt.Approve(),
]
)
with pytest.raises(pt.TealInputError):
pt.compileTeal(program, pt.Mode.Application, version=3)
def test_compile_subroutine_no_return():
@pt.Subroutine(pt.TealType.none)
def storeValue(value: pt.Expr) -> pt.Expr:
return pt.App.globalPut(pt.Bytes("key"), value)
program = pt.Seq(
[
pt.If(pt.Txn.sender() == pt.Global.creator_address()).Then(
storeValue(pt.Txn.application_args[0])
),
pt.Approve(),
]
)
expected = """#pragma version 4
txn Sender
global CreatorAddress
==
bz main_l2
txna ApplicationArgs 0
callsub storeValue_0
main_l2:
int 1
return
// storeValue
storeValue_0:
store 0
byte "key"
load 0
app_global_put
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert actual == expected
def test_compile_subroutine_with_return():
@pt.Subroutine(pt.TealType.none)
def storeValue(value: pt.Expr) -> pt.Expr:
return pt.App.globalPut(pt.Bytes("key"), value)
@pt.Subroutine(pt.TealType.bytes)
def getValue() -> pt.Expr:
return pt.App.globalGet(pt.Bytes("key"))
program = pt.Seq(
[
pt.If(pt.Txn.sender() == pt.Global.creator_address()).Then(
storeValue(pt.Txn.application_args[0])
),
pt.If(getValue() == pt.Bytes("fail")).Then(pt.Reject()),
pt.Approve(),
]
)
expected = """#pragma version 4
txn Sender
global CreatorAddress
==
bnz main_l3
main_l1:
callsub getValue_1
byte "fail"
==
bz main_l4
int 0
return
main_l3:
txna ApplicationArgs 0
callsub storeValue_0
b main_l1
main_l4:
int 1
return
// storeValue
storeValue_0:
store 0
byte "key"
load 0
app_global_put
retsub
// getValue
getValue_1:
byte "key"
app_global_get
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert actual == expected
def test_compile_subroutine_many_args():
@pt.Subroutine(pt.TealType.uint64)
def calculateSum(
a1: pt.Expr, a2: pt.Expr, a3: pt.Expr, a4: pt.Expr, a5: pt.Expr, a6: pt.Expr
) -> pt.Expr:
return a1 + a2 + a3 + a4 + a5 + a6
program = pt.Return(
calculateSum(pt.Int(1), pt.Int(2), pt.Int(3), pt.Int(4), pt.Int(5), pt.Int(6))
== pt.Int(1 + 2 + 3 + 4 + 5 + 6)
)
expected = """#pragma version 4
int 1
int 2
int 3
int 4
int 5
int 6
callsub calculateSum_0
int 21
==
return
// calculateSum
calculateSum_0:
store 5
store 4
store 3
store 2
store 1
store 0
load 0
load 1
+
load 2
+
load 3
+
load 4
+
load 5
+
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert actual == expected
def test_compile_subroutine_recursive():
@pt.Subroutine(pt.TealType.uint64)
def isEven(i: pt.Expr) -> pt.Expr:
return (
pt.If(i == pt.Int(0))
.Then(pt.Int(1))
.ElseIf(i == pt.Int(1))
.Then(pt.Int(0))
.Else(isEven(i - pt.Int(2)))
)
program = pt.Return(isEven(pt.Int(6)))
expected = """#pragma version 4
int 6
callsub isEven_0
return
// isEven
isEven_0:
store 0
load 0
int 0
==
bnz isEven_0_l4
load 0
int 1
==
bnz isEven_0_l3
load 0
int 2
-
load 0
dig 1
callsub isEven_0
swap
store 0
swap
pop
b isEven_0_l5
isEven_0_l3:
int 0
b isEven_0_l5
isEven_0_l4:
int 1
isEven_0_l5:
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert actual == expected
def test_compile_subroutine_recursive_5():
@pt.Subroutine(pt.TealType.uint64)
def isEven(i: pt.Expr) -> pt.Expr:
return (
pt.If(i == pt.Int(0))
.Then(pt.Int(1))
.ElseIf(i == pt.Int(1))
.Then(pt.Int(0))
.Else(isEven(i - pt.Int(2)))
)
program = pt.Return(isEven(pt.Int(6)))
expected = """#pragma version 5
int 6
callsub isEven_0
return
// isEven
isEven_0:
store 0
load 0
int 0
==
bnz isEven_0_l4
load 0
int 1
==
bnz isEven_0_l3
load 0
int 2
-
load 0
swap
callsub isEven_0
swap
store 0
b isEven_0_l5
isEven_0_l3:
int 0
b isEven_0_l5
isEven_0_l4:
int 1
isEven_0_l5:
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=5, assembleConstants=False
)
assert actual == expected
def test_compile_subroutine_recursive_multiple_args():
@pt.Subroutine(pt.TealType.uint64)
def multiplyByAdding(a, b):
return (
pt.If(a == pt.Int(0))
.Then(pt.Return(pt.Int(0)))
.Else(pt.Return(b + multiplyByAdding(a - pt.Int(1), b)))
)
program = pt.Return(multiplyByAdding(pt.Int(3), pt.Int(5)))
expected = """#pragma version 4
int 3
int 5
callsub multiplyByAdding_0
return
// multiplyByAdding
multiplyByAdding_0:
store 1
store 0
load 0
int 0
==
bnz multiplyByAdding_0_l2
load 1
load 0
int 1
-
load 1
load 0
load 1
dig 3
dig 3
callsub multiplyByAdding_0
store 0
store 1
load 0
swap
store 0
swap
pop
swap
pop
+
retsub
multiplyByAdding_0_l2:
int 0
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert actual == expected
def test_compile_subroutine_recursive_multiple_args_5():
@pt.Subroutine(pt.TealType.uint64)
def multiplyByAdding(a, b):
return (
pt.If(a == pt.Int(0))
.Then(pt.Return(pt.Int(0)))
.Else(pt.Return(b + multiplyByAdding(a - pt.Int(1), b)))
)
program = pt.Return(multiplyByAdding(pt.Int(3), pt.Int(5)))
expected = """#pragma version 5
int 3
int 5
callsub multiplyByAdding_0
return
// multiplyByAdding
multiplyByAdding_0:
store 1
store 0
load 0
int 0
==
bnz multiplyByAdding_0_l2
load 1
load 0
int 1
-
load 1
load 0
load 1
uncover 3
uncover 3
callsub multiplyByAdding_0
cover 2
store 1
store 0
+
retsub
multiplyByAdding_0_l2:
int 0
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=5, assembleConstants=False
)
assert actual == expected
def test_compile_subroutine_mutually_recursive_4():
@pt.Subroutine(pt.TealType.uint64)
def isEven(i: pt.Expr) -> pt.Expr:
return pt.If(i == pt.Int(0), pt.Int(1), pt.Not(isOdd(i - pt.Int(1))))
@pt.Subroutine(pt.TealType.uint64)
def isOdd(i: pt.Expr) -> pt.Expr:
return pt.If(i == pt.Int(0), pt.Int(0), pt.Not(isEven(i - pt.Int(1))))
program = pt.Return(isEven(pt.Int(6)))
expected = """#pragma version 4
int 6
callsub isEven_0
return
// isEven
isEven_0:
store 0
load 0
int 0
==
bnz isEven_0_l2
load 0
int 1
-
load 0
dig 1
callsub isOdd_1
swap
store 0
swap
pop
!
b isEven_0_l3
isEven_0_l2:
int 1
isEven_0_l3:
retsub
// isOdd
isOdd_1:
store 1
load 1
int 0
==
bnz isOdd_1_l2
load 1
int 1
-
load 1
dig 1
callsub isEven_0
swap
store 1
swap
pop
!
b isOdd_1_l3
isOdd_1_l2:
int 0
isOdd_1_l3:
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert actual == expected
def test_compile_subroutine_mutually_recursive_5():
@pt.Subroutine(pt.TealType.uint64)
def isEven(i: pt.Expr) -> pt.Expr:
return pt.If(i == pt.Int(0), pt.Int(1), pt.Not(isOdd(i - pt.Int(1))))
@pt.Subroutine(pt.TealType.uint64)
def isOdd(i: pt.Expr) -> pt.Expr:
return pt.If(i == pt.Int(0), pt.Int(0), pt.Not(isEven(i - pt.Int(1))))
program = pt.Return(isEven(pt.Int(6)))
expected = """#pragma version 5
int 6
callsub isEven_0
return
// isEven
isEven_0:
store 0
load 0
int 0
==
bnz isEven_0_l2
load 0
int 1
-
load 0
swap
callsub isOdd_1
swap
store 0
!
b isEven_0_l3
isEven_0_l2:
int 1
isEven_0_l3:
retsub
// isOdd
isOdd_1:
store 1
load 1
int 0
==
bnz isOdd_1_l2
load 1
int 1
-
load 1
swap
callsub isEven_0
swap
store 1
!
b isOdd_1_l3
isOdd_1_l2:
int 0
isOdd_1_l3:
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=5, assembleConstants=False
)
assert actual == expected
def test_compile_subroutine_mutually_recursive_different_arg_count_4():
@pt.Subroutine(pt.TealType.uint64)
def factorial(i: pt.Expr) -> pt.Expr:
return pt.If(
i <= pt.Int(1),
pt.Int(1),
factorial_intermediate(i - pt.Int(1), pt.Bytes("inconsequential")) * i,
)
@pt.Subroutine(pt.TealType.uint64)
def factorial_intermediate(i: pt.Expr, j: pt.Expr) -> pt.Expr:
return pt.Seq(pt.Pop(j), factorial(i))
program = pt.Return(factorial(pt.Int(4)) == pt.Int(24))
expected = """#pragma version 4
int 4
callsub factorial_0
int 24
==
return
// factorial
factorial_0:
store 0
load 0
int 1
<=
bnz factorial_0_l2
load 0
int 1
-
byte "inconsequential"
load 0
dig 2
dig 2
callsub factorialintermediate_1
swap
store 0
swap
pop
swap
pop
load 0
*
b factorial_0_l3
factorial_0_l2:
int 1
factorial_0_l3:
retsub
// factorial_intermediate
factorialintermediate_1:
store 2
store 1
load 2
pop
load 1
load 1
load 2
dig 2
callsub factorial_0
store 1
store 2
load 1
swap
store 1
swap
pop
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert actual == expected
def test_compile_subroutine_mutually_recursive_different_arg_count_5():
@pt.Subroutine(pt.TealType.uint64)
def factorial(i: pt.Expr) -> pt.Expr:
return pt.If(
i <= pt.Int(1),
pt.Int(1),
factorial_intermediate(i - pt.Int(1), pt.Bytes("inconsequential")) * i,
)
@pt.Subroutine(pt.TealType.uint64)
def factorial_intermediate(i: pt.Expr, j: pt.Expr) -> pt.Expr:
return pt.Seq(pt.Log(j), factorial(i))
program = pt.Return(factorial(pt.Int(4)) == pt.Int(24))
expected = """#pragma version 5
int 4
callsub factorial_0
int 24
==
return
// factorial
factorial_0:
store 0
load 0
int 1
<=
bnz factorial_0_l2
load 0
int 1
-
byte "inconsequential"
load 0
cover 2
callsub factorialintermediate_1
swap
store 0
load 0
*
b factorial_0_l3
factorial_0_l2:
int 1
factorial_0_l3:
retsub
// factorial_intermediate
factorialintermediate_1:
store 2
store 1
load 2
log
load 1
load 1
load 2
uncover 2
callsub factorial_0
cover 2
store 2
store 1
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=5, assembleConstants=False
)
assert actual == expected
def test_compile_loop_in_subroutine():
@pt.Subroutine(pt.TealType.none)
def setState(value: pt.Expr) -> pt.Expr:
i = pt.ScratchVar()
return pt.For(
i.store(pt.Int(0)), i.load() < pt.Int(10), i.store(i.load() + pt.Int(1))
).Do(pt.App.globalPut(pt.Itob(i.load()), value))
program = pt.Seq([setState(pt.Bytes("value")), pt.Approve()])
expected = """#pragma version 4
byte "value"
callsub setState_0
int 1
return
// setState
setState_0:
store 0
int 0
store 1
setState_0_l1:
load 1
int 10
<
bz setState_0_l3
load 1
itob
load 0
app_global_put
load 1
int 1
+
store 1
b setState_0_l1
setState_0_l3:
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert actual == expected
def test_compile_subroutine_invalid_name():
def tmp() -> pt.Expr:
return pt.Int(1)
tmp.__name__ = "invalid-;)"
program = pt.Subroutine(pt.TealType.uint64)(tmp)()
expected = """#pragma version 4
callsub invalid_0
return
// invalid-;)
invalid_0:
int 1
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=False
)
assert actual == expected
def test_compile_subroutine_assemble_constants():
@pt.Subroutine(pt.TealType.none)
def storeValue(key: pt.Expr, t1: pt.Expr, t2: pt.Expr, t3: pt.Expr) -> pt.Expr:
return pt.App.globalPut(key, t1 + t2 + t3 + pt.Int(10))
program = pt.Seq(
[
pt.If(pt.Txn.application_id() == pt.Int(0)).Then(
storeValue(
pt.Concat(pt.Bytes("test"), pt.Bytes("test"), pt.Bytes("a")),
pt.Int(1),
pt.Int(1),
pt.Int(3),
)
),
pt.Approve(),
]
)
expected = """#pragma version 4
intcblock 1
bytecblock 0x74657374
txn ApplicationID
pushint 0 // 0
==
bz main_l2
bytec_0 // "test"
bytec_0 // "test"
concat
pushbytes 0x61 // "a"
concat
intc_0 // 1
intc_0 // 1
pushint 3 // 3
callsub storeValue_0
main_l2:
intc_0 // 1
return
// storeValue
storeValue_0:
store 3
store 2
store 1
store 0
load 0
load 1
load 2
+
load 3
+
pushint 10 // 10
+
app_global_put
retsub
""".strip()
actual = pt.compileTeal(
program, pt.Mode.Application, version=4, assembleConstants=True
)
assert actual == expected
def test_compile_wide_ratio():
cases = (
(
pt.WideRatio([pt.Int(2), pt.Int(100)], [pt.Int(5)]),
"""#pragma version 5
int 2
int 100
mulw
int 0
int 5
divmodw
pop
pop
swap
!
assert
return
""",
),
(
pt.WideRatio([pt.Int(2), pt.Int(100)], [pt.Int(10), pt.Int(5)]),
"""#pragma version 5
int 2
int 100
mulw
int 10
int 5
mulw
divmodw
pop
pop
swap
!
assert
return
""",
),
(
pt.WideRatio([pt.Int(2), pt.Int(100), pt.Int(3)], [pt.Int(10), pt.Int(5)]),
"""#pragma version 5
int 2
int 100
mulw
int 3
uncover 2
dig 1
*
cover 2
mulw
cover 2
+
swap
int 10
int 5
mulw
divmodw
pop
pop
swap
!
assert
return
""",
),
(
pt.WideRatio(
[pt.Int(2), pt.Int(100), pt.Int(3)], [pt.Int(10), pt.Int(5), pt.Int(6)]
),
"""#pragma version 5
int 2
int 100
mulw
int 3
uncover 2
dig 1
*
cover 2
mulw
cover 2
+
swap
int 10
int 5
mulw
int 6
uncover 2
dig 1
*
cover 2
mulw
cover 2
+
swap
divmodw
pop
pop
swap
!
assert
return
""",
),
(
pt.WideRatio(
[pt.Int(2), pt.Int(100), pt.Int(3), pt.Int(4)],
[pt.Int(10), pt.Int(5), pt.Int(6)],
),
"""#pragma version 5
int 2
int 100
mulw
int 3
uncover 2
dig 1
*
cover 2
mulw
cover 2
+
swap
int 4
uncover 2
dig 1
*
cover 2
mulw
cover 2
+
swap
int 10
int 5
mulw
int 6
uncover 2
dig 1
*
cover 2
mulw
cover 2
+
swap
divmodw
pop
pop
swap
!
assert
return
""",
),
)
for program, expected in cases:
actual = pt.compileTeal(
program, pt.Mode.Application, version=5, assembleConstants=False
)
assert actual == expected.strip()
| 17.515118 | 88 | 0.590207 | 4,510 | 31,860 | 4.072506 | 0.043016 | 0.047912 | 0.023085 | 0.020145 | 0.859694 | 0.834976 | 0.800457 | 0.760875 | 0.742473 | 0.72701 | 0 | 0.048096 | 0.282141 | 31,860 | 1,818 | 89 | 17.524752 | 0.754974 | 0.003453 | 0 | 0.73789 | 0 | 0 | 0.250848 | 0.00724 | 0 | 0 | 0.001164 | 0 | 0.029861 | 1 | 0.038487 | false | 0 | 0.001327 | 0.012608 | 0.079628 | 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 |
21a1bef5e1c6e77b10f18bef1f510edcf5c31243 | 5,334 | py | Python | insights/tests/parsers/test_grubenv.py | TZ3070/insights-core | 13f4fc6bfcb89d76f0255c6259902360a298d619 | [
"Apache-2.0"
] | null | null | null | insights/tests/parsers/test_grubenv.py | TZ3070/insights-core | 13f4fc6bfcb89d76f0255c6259902360a298d619 | [
"Apache-2.0"
] | null | null | null | insights/tests/parsers/test_grubenv.py | TZ3070/insights-core | 13f4fc6bfcb89d76f0255c6259902360a298d619 | [
"Apache-2.0"
] | null | null | null | import doctest
from insights.parsers import grubenv
from insights.tests.parsers import skip_exception_check
from insights.tests import context_wrap
GRUBENV_WITH_TUNED_PARAMS = """
# GRUB Environment Block
saved_entry=295e1ba1696e4fad9e062f096f92d147-4.18.0-305.el8.x86_64
kernelopts=root=/dev/mapper/root_vg-lv_root ro crashkernel=auto resume=/dev/mapper/root_vg-lv_swap rd.lvm.lv=root_vg/lv_root rd.lvm.lv=root_vg/lv_swap console=tty0 console=ttyS0,115200
boot_success=0
boot_indeterminate=2
tuned_params=transparent_hugepages=never
tuned_initrd=
###############################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################
""".strip() # noqa
GRUBENV_WITHOUT_TUNED_PARAMS = """
# GRUB Environment Block
saved_entry=295e1ba1696e4fad9e062f096f92d147-4.18.0-305.el8.x86_64
kernelopts=root=/dev/mapper/root_vg-lv_root ro crashkernel=auto resume=/dev/mapper/root_vg-lv_swap rd.lvm.lv=root_vg/lv_root rd.lvm.lv=root_vg/lv_swap console=tty0 console=ttyS0,115200
boot_success=0
boot_indeterminate=2
###############################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################
""".strip() # noqa
GRUBENV_RHEL7 = """
# GRUB Environment Block
saved_entry=Red Hat Enterprise Linux Server (3.10.0-1127.el7.x86_64) 7.8 (Maipo)
######################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################
""".strip() # noqa
def test_doc_examples():
env = {
'grubenv': grubenv.GrubEnv(context_wrap(GRUBENV_WITH_TUNED_PARAMS))
}
failed, total = doctest.testmod(grubenv, globs=env)
assert failed == 0
def test_with_tuned_params():
results = grubenv.GrubEnv(context_wrap(GRUBENV_WITH_TUNED_PARAMS))
assert results is not None
assert results.has_kernelopts
assert results.has_tuned_params
assert results.kernelopts == "root=/dev/mapper/root_vg-lv_root ro crashkernel=auto resume=/dev/mapper/root_vg-lv_swap rd.lvm.lv=root_vg/lv_root rd.lvm.lv=root_vg/lv_swap console=tty0 console=ttyS0,115200" # noqa
assert results.tuned_params == "transparent_hugepages=never"
assert results['saved_entry'] == "295e1ba1696e4fad9e062f096f92d147-4.18.0-305.el8.x86_64"
assert results['boot_success'] == "0"
assert results['boot_indeterminate'] == "2"
def test_without_tuned_params():
results = grubenv.GrubEnv(context_wrap(GRUBENV_WITHOUT_TUNED_PARAMS))
assert results is not None
assert results.has_kernelopts
assert not results.has_tuned_params
assert results.kernelopts == "root=/dev/mapper/root_vg-lv_root ro crashkernel=auto resume=/dev/mapper/root_vg-lv_swap rd.lvm.lv=root_vg/lv_root rd.lvm.lv=root_vg/lv_swap console=tty0 console=ttyS0,115200" # noqa
assert results.tuned_params == ""
assert results['saved_entry'] == "295e1ba1696e4fad9e062f096f92d147-4.18.0-305.el8.x86_64"
assert results['boot_success'] == "0"
assert results['boot_indeterminate'] == "2"
def test_r7():
results = grubenv.GrubEnv(context_wrap(GRUBENV_RHEL7))
assert results is not None
assert not results.has_kernelopts
assert not results.has_tuned_params
assert results.kernelopts == ""
assert results.tuned_params == ""
assert results['saved_entry'] == "Red Hat Enterprise Linux Server (3.10.0-1127.el7.x86_64) 7.8 (Maipo)"
def test_skip():
skip_exception_check(grubenv.GrubEnv, output_str="# test")
skip_exception_check(grubenv.GrubEnv)
| 66.675 | 918 | 0.447132 | 460 | 5,334 | 4.952174 | 0.18913 | 0.108428 | 0.05619 | 0.052678 | 0.859526 | 0.795874 | 0.756804 | 0.756804 | 0.674276 | 0.674276 | 0 | 0.041566 | 0.070866 | 5,334 | 79 | 919 | 67.518987 | 0.418079 | 0.004499 | 0 | 0.515625 | 0 | 0.09375 | 0.694193 | 0.57862 | 0 | 0 | 0 | 0 | 0.359375 | 1 | 0.078125 | false | 0 | 0.0625 | 0 | 0.140625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
21b517ff259c961a68e2589d024c3bf99c2ee885 | 52,922 | py | Python | prody/tests/sequence/test_analysis.py | grandevelia/ProDy | 7c725640a94c16543423c0756388998cb86a97ae | [
"MIT"
] | 210 | 2015-01-26T08:17:56.000Z | 2022-03-30T01:40:34.000Z | prody/tests/sequence/test_analysis.py | grandevelia/ProDy | 7c725640a94c16543423c0756388998cb86a97ae | [
"MIT"
] | 555 | 2015-01-05T21:51:54.000Z | 2022-03-31T16:51:41.000Z | prody/tests/sequence/test_analysis.py | grandevelia/ProDy | 7c725640a94c16543423c0756388998cb86a97ae | [
"MIT"
] | 99 | 2015-02-09T18:00:39.000Z | 2022-03-07T12:52:51.000Z | __author__ = 'Ahmet Bakan, Anindita Dutta, Wenzhi Mao'
from prody.tests import TestCase
from numpy import array, log, zeros, char, ones, fromfile
from numpy.testing import assert_array_equal, assert_array_almost_equal
from prody.tests.datafiles import *
from prody import LOGGER, calcShannonEntropy, buildMutinfoMatrix, parseMSA
from prody import calcMSAOccupancy, buildSeqidMatrix, uniqueSequences
from prody import buildOMESMatrix, buildSCAMatrix, calcMeff
from prody import buildDirectInfoMatrix
LOGGER.verbosity = None
FASTA = parseMSA(pathDatafile('msa_Cys_knot.fasta'))
FASTA_ALPHA = char.isalpha(FASTA._msa)
FASTA_UPPER = char.upper(FASTA._msa)
FASTA_NUMBER, FASTA_LENGTH = FASTA_ALPHA.shape
FASTA_EYE = zeros((FASTA_NUMBER, FASTA_NUMBER))
for i in range(FASTA_NUMBER):
FASTA_EYE[i, i] = 1
for j in range(i + 1, FASTA_NUMBER):
score = 0.0
ncols = 0
for k in range(FASTA_LENGTH):
if FASTA_ALPHA[i, k] or FASTA_ALPHA[j, k]:
if FASTA_UPPER[i, k] == FASTA_UPPER[j, k]:
score += 1
ncols += 1
FASTA_EYE[i, j] = FASTA_EYE[j, i] = score / ncols
class TestCalcShannonEntropy(TestCase):
def testSixSequences(self):
msa = array([list('AAAAaaaaAAAAaaaa'),
list('AAACaaacAAACaaac'),
list('AACDaacdAACDaacd'),
list('ACCEacceacceACCE'),
list('ACDFacdfacdfACDF'),
list('ACDGacdgacdgACDG')], dtype='|S1')
expect = -log(1. / array([1, 2, 3, 6] * 4))
result = calcShannonEntropy(msa)
assert_array_almost_equal(expect, result)
def testTwenty(self):
msa = array([[char] for char in 'ACDEFGHIKLMNPQRSTVWY'], dtype='|S1')
expect = -log(1. / 20)
result = calcShannonEntropy(msa)
assert_array_almost_equal(expect, result)
def testSmallProbability(self):
msa = zeros((1000000, 1), '|S1')
msa[0] = 'A'
msa[1:] = 'C'
expect = array([1., 999999.]) / 1000000
expect = - (expect * log(expect)).sum()
result = calcShannonEntropy(msa)
assert_array_almost_equal(expect, result)
def testAmbiguous(self):
msa = array([list('bjzxBJZX'),
list('bjzxBJZX'), ], dtype='|S1')
expect = -log(1. / array([2, 2, 2, 20] * 2))
result = calcShannonEntropy(msa)
assert_array_almost_equal(expect, result)
def testGapDividend(self):
msa = array([list('AAAA'),
list('AAAC'),
list('AACD'),
list('ACCE'),
list('ACDF'),
list('ACDG'),
list('----')], dtype='|S1')
expect = -log(1. / array([1, 2, 3, 6]))
result = calcShannonEntropy(msa, omitgaps=True)
assert_array_almost_equal(expect, result)
"""
def testSixSequences3(self):
msa = array([list('AAAA'),
list('AAAB'),
list('AABC'),
list('ABBD'),
list('ABCE'),
list('ABCF')])
expect = -log(1. / array([1, 2, 3, 6]))
result = calcInfoEntropy(msa)
assert_array_almost_equal(expect, result)
"""
class TestCalcMutualInfo(TestCase):
def testSixSequences(self):
msa = array([list('ACCA'),
list('ACDA'),
list('ACEC'),
list('ACGC')], dtype='|S1')
expect = array([[0., 0., 0., 0.],
[0., 0., 0., 0.],
[0., 0., 0., log(2.)],
[0., 0., log(2.), 0.], ])
result = buildMutinfoMatrix(msa)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildMutinfoMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testTwenty(self):
seq = 'ACDEFGHIKLMNPQRSTVWY'
msa = array([[s, s] for s in seq], dtype='|S1')
expect = log(20.)
expect = array([[0., expect],
[expect, 0.]])
result = buildMutinfoMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildMutinfoMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testTwentyReversed(self):
seq = 'ACDEFGHIKLMNPQRSTVWY'
msa = array([[s, seq[-i-1]] for i, s in enumerate(seq)], dtype='|S1')
expect = log(20.)
expect = array([[0., expect],
[expect, 0.]])
result = buildMutinfoMatrix(msa)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildMutinfoMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testAmbiguity(self):
msa = array([list('OX'),
list('XO')], dtype='|S1')
expect = array([[0., log(2.)],
[log(2.), 0.]])
result = buildMutinfoMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildMutinfoMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testNoAmbiguity(self):
msa = array([list('OX'),
list('XO')], dtype='|S1')
expect = array([[0., log(2.)],
[log(2.), 0.]])
result = buildMutinfoMatrix(msa, ambiquity=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildMutinfoMatrix(msa, ambiquity=False, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testAmbiguity2(self):
msa = array([list('AB'),
list('BZ')], dtype='|S1')
expect = (2 * .25 * log(.25 / .5 / .25) +
4 * .125 * log(.125 / .25 / .25))
expect = array([[0., expect],
[expect, 0.]])
result = buildMutinfoMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildMutinfoMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testAmbiguity3(self):
msa = array([list('XX')], dtype='|S1')
expect = zeros((2, 2))
result = buildMutinfoMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildMutinfoMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testAmbiguity4(self):
msa = array([list('Bb'),
list('jJ'),
list('Zz'), ], dtype='|S1')
expect = log((1./12) / (1./6) / (1./6))
expect = array([[0., expect],
[expect, 0.]])
result = buildMutinfoMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildMutinfoMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testAmbiguity5(self):
expect = array([[0., 0.],
[0., 0.]])
for seq in ['bx', 'Xb', 'jX', 'Xj', 'xz', 'ZX',
'bj', 'jb', 'bz', 'zb', 'jz', 'zj']:
msa = array([list(seq)], dtype='|S1')
result = buildMutinfoMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg=seq + ' failed')
def testAmbiguity6(self):
expect = zeros((2, 2))
for seq in ['bb', 'jj', 'zz']:
msa = array([list(seq)], dtype='|S1')
result = buildMutinfoMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg=seq + ' failed')
def testAmbiguity7(self):
msa = array([list('bx'),
list('xb')], dtype='|S1')
expect = (72 * 0.0125 * log(0.0125/0.0250/0.275) +
4 * 0.0250 * log(0.0250/0.275/0.275))
expect = array([[0., expect],
[expect, 0.]])
result = buildMutinfoMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildMutinfoMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testInf(self):
msa = zeros((500, 10), '|S1')
msa.fill('.')
msa[95, 8] = 's'
msa[95, 9] = 'i'
expect = zeros((10, 10))
expect[8, 9] = expect[9, 8] = 0.002 * log(500.) + .998 * log(1. / .998)
result = buildMutinfoMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildMutinfoMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testNorm(self):
seq = 'ACDEFGHIKLMNPQRSTVWY'
msa = array([[s, seq[-i-1]] for i, s in enumerate(seq)], dtype='|S1')
expect = 1.
expect = array([[0., expect],
[expect, 0.]])
result = buildMutinfoMatrix(msa, norm=True)
assert_array_almost_equal(expect, result, err_msg='norm failed')
def testNorm2(self):
seq = 'ACDEFGHIKLMNPQRSTVWY'
msa = array([[s, 'O' if i % 2 else 'U'] for i, s in enumerate(seq)],
dtype='|S1')
expect = log(1./20. / (1./20. * 1./2.)) / (-log(1./20.))
expect = array([[0., expect],
[expect, 0.]])
result = buildMutinfoMatrix(msa, norm=True)
assert_array_almost_equal(expect, result, err_msg='norm failed')
class TestCalcMSAOccupancy(TestCase):
def testResidueCount(self):
assert_array_equal(calcMSAOccupancy(FASTA, 'residue', count=1),
FASTA_ALPHA.sum(0))
def testSequenceCount(self):
assert_array_equal(calcMSAOccupancy(FASTA, 'sequence', count=1),
FASTA_ALPHA.sum(1))
def testResidueOccupancy(self):
assert_array_equal(calcMSAOccupancy(FASTA, 'residue'),
FASTA_ALPHA.sum(0) / (FASTA.numSequences() * 1.0))
def testSequenceOccupancy(self):
assert_array_equal(calcMSAOccupancy(FASTA, 'sequence'),
FASTA_ALPHA.sum(1) / (FASTA.numResidues() * 1.0))
class TestIdentity(TestCase):
def testIdentityMatrix(self):
assert_array_almost_equal(FASTA_EYE, buildSeqidMatrix(FASTA))
def testIdentityMatrixNonTurbo(self):
assert_array_almost_equal(FASTA_EYE,
buildSeqidMatrix(FASTA, turbo=False))
class TestUnique(TestCase):
def testUnique(self):
seqid = 0.98
unique = ones(FASTA_NUMBER, bool)
for i in range(FASTA_NUMBER):
if not unique[i]:
continue
for j in range(i+1, FASTA_NUMBER):
if FASTA_EYE[i, j] >= seqid:
unique[j] = False
assert_array_equal(unique, uniqueSequences(FASTA, seqid))
def testUnique2(self):
seqid = 0.5
unique = ones(FASTA_NUMBER, bool)
for i in range(FASTA_NUMBER):
if not unique[i]:
continue
for j in range(i+1, FASTA_NUMBER):
if FASTA_EYE[i, j] >= seqid:
unique[j] = False
assert_array_equal(unique, uniqueSequences(FASTA, seqid))
class TestCalcOMES(TestCase):
def testZero(self):
msa = array([list('ACCA'),
list('ACDA'),
list('ACCC'),
list('ACDC')], dtype='|S1')
expect = array([[0., 0., 0., 0.],
[0., 0., 0., 0.],
[0., 0., 0., 0.],
[0., 0., 0., 0.], ])
result = buildOMESMatrix(msa)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildOMESMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testFourSequences(self):
msa = array([list('ACCA'),
list('ACDA'),
list('ACDC'),
list('ACDC')], dtype='|S1')
expect = array([[0., 0., 0., 0.],
[0., 0., 0., 0.],
[0., 0., 0., 4./3],
[0., 0., 4./3, 0.], ])
result = buildOMESMatrix(msa)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildOMESMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testTwenty(self):
seq = 'ACDEFGHIKLMNPQRSTVWY'
msa = array([[s, s] for s in seq], dtype='|S1')
expect = array([[0., 380.],
[380., 0.]])
result = buildOMESMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildOMESMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testTwentyReversed(self):
seq = 'ACDEFGHIKLMNPQRSTVWY'
msa = array([[s, seq[-i-1]] for i, s in enumerate(seq)], dtype='|S1')
expect = array([[0., 380.],
[380., 0.]])
result = buildOMESMatrix(msa)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildOMESMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testAmbiguity(self):
msa = array([list('OX'),
list('XO')], dtype='|S1')
expect = array([[0., 2.],
[2., 0.]])
result = buildOMESMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildOMESMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testNoAmbiguity(self):
msa = array([list('OX'),
list('XO')], dtype='|S1')
expect = array([[0., 2.],
[2., 0.]])
result = buildOMESMatrix(msa, ambiquity=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildOMESMatrix(msa, ambiquity=False, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testAmbiguity2(self):
msa = array([list('AB'),
list('BZ')], dtype='|S1')
expect = array([[0., 2.],
[2., 0.]])
result = buildOMESMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildOMESMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testAmbiguity3(self):
msa = array([list('XX')], dtype='|S1')
expect = zeros((2, 2))
result = buildOMESMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildOMESMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testAmbiguity4(self):
msa = array([list('Bb'),
list('jJ'),
list('Zz'), ], dtype='|S1')
expect = array([[0., 6.],
[6., 0.]])
result = buildOMESMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildOMESMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testAmbiguity5(self):
expect = array([[0., 0.],
[0., 0.]])
for seq in ['bx', 'Xb', 'jX', 'Xj', 'xz', 'ZX',
'bj', 'jb', 'bz', 'zb', 'jz', 'zj']:
msa = array([list(seq)], dtype='|S1')
result = buildOMESMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg=seq + ' failed')
def testAmbiguity6(self):
expect = zeros((2, 2))
for seq in ['bb', 'jj', 'zz']:
msa = array([list(seq)], dtype='|S1')
result = buildOMESMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg=seq + ' failed')
def testAmbiguity7(self):
msa = array([list('bx'),
list('xb')], dtype='|S1')
expect = array([[0., 162./121],
[162./121, 0.]])
result = buildOMESMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildOMESMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testInf(self):
msa = zeros((500, 10), '|S1')
msa.fill('.')
msa[95, 8] = 's'
msa[95, 9] = 'i'
expect = zeros((10, 10))
expect[8, 9] = expect[9, 8] = 500.
result = buildOMESMatrix(msa, debug=False)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildOMESMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
class TestCalcSCA(TestCase):
def testZero(self):
msa = array([list('ACCD'),
list('ACDD'),
list('ACCC'),
list('ACDC')], dtype='|S1')
expect = array([log(0.975/.025)*.5, log(0.95/.05)*.5])
weight = ((expect ** 2).sum())**.5
expect = expect / weight * array([log(0.975/.025), log(0.95/.05)])
expect = (expect ** 2).mean() - (expect.mean()) ** 2
expect = array([[0., 0., 0., 0.],
[0., 0., 0., 0.],
[0., 0., expect, 0.],
[0., 0., 0., expect], ])
result = buildSCAMatrix(msa)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildSCAMatrix(msa, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
def testMATLAB(self):
sca = fromfile(pathDatafile('msa_Cys_knot_sca.dat'))
expect = sca.reshape((10, 10))
fasta = FASTA[:, :10]
result = buildSCAMatrix(fasta, turbo=True)
assert_array_almost_equal(expect, result, err_msg='turbo failed')
result = buildSCAMatrix(fasta, turbo=False)
assert_array_almost_equal(expect, result, err_msg='w/out turbo failed')
class TestCalcMeff(TestCase):
def testZero1(self):
msa = array([list('ACCD')] * 100, dtype='|S1')
expect = 1.
result = calcMeff(msa)
assert_array_almost_equal(expect, result)
result = calcMeff(msa, seqid=0.9)
assert_array_almost_equal(expect, result)
result = calcMeff(msa, seqid=0.4)
assert_array_almost_equal(expect, result)
expect = (1., zeros((100)) + 1./100)
result = calcMeff(msa, weight=True)
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
result = calcMeff(msa, seqid=0.9, weight=True)
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
result = calcMeff(msa, seqid=0.4, weight=True)
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
def testZero2(self):
msa = array([list('AACC')] * 50 + [list('AADD')] * 50, dtype='|S1')
expect = 2.
result = calcMeff(msa)
assert_array_almost_equal(expect, result)
result = calcMeff(msa, seqid=0.9)
assert_array_almost_equal(expect, result)
expect = 1.
result = calcMeff(msa, seqid=0.4)
assert_array_almost_equal(expect, result)
expect = (2., zeros((100)) + 1./50)
result = calcMeff(msa, weight=True)
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
result = calcMeff(msa, seqid=0.9, weight=True)
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
expect = (1., zeros((100)) + 1./100)
result = calcMeff(msa, seqid=0.4, weight=True)
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
def testTwenty(self):
seq = 'ACDEFGHIKLMNPQRSTVWY'
msa = array([[s, s] for s in seq], dtype='|S1')
expect = 20.
result = calcMeff(msa)
assert_array_almost_equal(expect, result)
result = calcMeff(msa, seqid=0.9)
assert_array_almost_equal(expect, result)
result = calcMeff(msa, seqid=0.4)
assert_array_almost_equal(expect, result)
expect = (20., ones(20))
result = calcMeff(msa, weight=True)
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
result = calcMeff(msa, seqid=0.9, weight=True)
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
result = calcMeff(msa, seqid=0.4, weight=True)
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
def testTwentyReversed(self):
seq = 'ACDEFGHIKLMNPQRSTVWY'
msa = array([[s, seq[-i-1]] for i, s in enumerate(seq)], dtype='|S1')
expect = 20.
result = calcMeff(msa)
assert_array_almost_equal(expect, result)
result = calcMeff(msa, seqid=0.9)
assert_array_almost_equal(expect, result)
result = calcMeff(msa, seqid=0.4)
assert_array_almost_equal(expect, result)
expect = (20., ones(20))
result = calcMeff(msa, weight=True)
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
result = calcMeff(msa, seqid=0.9, weight=True)
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
result = calcMeff(msa, seqid=0.4, weight=True)
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
def testMATLAB(self):
expect = 1.8416666666666664e+01
result = calcMeff(FASTA, refine=True)
assert_array_almost_equal(expect, result)
result = calcMeff(FASTA, refine=True, weight=True)
expect = (expect,
array([1./3, 1./3, 1./4, 1./2, 1., 1., 1., 1., 1./3, 1./3,
1./3, 1./2, 1./2, 1., 1., 1., 1., 1., 1., 1., 1., 1.,
1., 1./2, 1./2], dtype='float'))
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
expect = 23
result = calcMeff(FASTA, seqid=0.9, refine=True)
assert_array_almost_equal(expect, result)
result = calcMeff(FASTA, seqid=0.9, refine=True, weight=True)
expect = (expect,
array([0.5, 0.5, 1., 1., 1., 1., 1., 1., 1., 1., 1., 0.5,
0.5, 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
1.], dtype='float'))
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
expect = 4.66689144189144
result = calcMeff(FASTA, seqid=0.4, refine=True)
assert_array_almost_equal(expect, result)
result = calcMeff(FASTA, seqid=0.4, refine=True, weight=True)
expect = (expect,
array([0.071428571, 0.071428571, 0.066666667, 0.083333333,
0.076923077, 0.066666667, 0.076923077, 0.090909091,
0.090909091, 0.071428571, 0.076923077, 0.076923077,
0.1, 0.2, 0.166666667, 0.25, 1., 0.25, 0.25, 0.25,
0.25, 0.333333333, 0.5, 0.071428571,
0.125, ], dtype='float'))
assert_array_almost_equal(expect[0], result[0],
err_msg='weight failed')
assert_array_almost_equal(expect[1], result[1],
err_msg='weight failed')
class TestDirectInfo(TestCase):
def testZero(self):
msa = array([list('ACCY')] * 100, dtype='|S1')
expect = array([[0., 0.66325166608, 0.66325166608, 0.66222154839],
[0.66325166608, 0., 0.66325166608, 0.66222154839],
[0.66325166608, 0.66325166608, 0., 0.66222154839],
[0.66222154839, 0.66222154839, 0.66222154839, 0.], ])
result = buildDirectInfoMatrix(msa)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.3
expect = array([[0., 0.53477644, 0.53477644, 0.58513139],
[0.53477644, 0., 0.53477644, 0.58513139],
[0.53477644, 0.53477644, 0., 0.58513139],
[0.58513139, 0.58513139, 0.58513139, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.8
expect = array([[0., 0.41397564, 0.41397564, 0.41295744],
[0.41397564, 0., 0.41397564, 0.41295744],
[0.41397564, 0.41397564, 0., 0.41295744],
[0.41295744, 0.41295744, 0.41295744, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
def testZero1(self):
msa = array([list('ACCD')] * 100, dtype='|S1')
expect = array([[0., 0.13010138, 0.13010138, 0.13008827],
[0.13010138, 0., 0.13010138, 0.13008827],
[0.13010138, 0.13010138, 0., 0.13008827],
[0.13008827, 0.13008827, 0.13008827, 0.]])
result = buildDirectInfoMatrix(msa)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.3
expect = array([[0., 0.23225802, 0.23225802, 0.23225606],
[0.23225802, 0., 0.23225802, 0.23225606],
[0.23225802, 0.23225802, 0., 0.23225606],
[0.23225606, 0.23225606, 0.23225606, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.8
expect = array([[0., 0.03910082, 0.03910082, 0.03910178],
[0.03910082, 0., 0.03910082, 0.03910178],
[0.03910082, 0.03910082, 0., 0.03910178],
[0.03910178, 0.03910178, 0.03910178, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
def testZero2(self):
msa = array([list('AAYY')] * 50 + [list('YYDD')] * 50, dtype='|S1')
expect = array([[0., 1.0248086877, 1.0001784999, 1.0001784999],
[1.0248086877, 0., 1.0001784999, 1.0001784999],
[1.0001784999, 1.0001784999, 0., 1.0248086877],
[1.0001784999, 1.0001784999, 1.0248086877, 0.], ])
result = buildDirectInfoMatrix(msa)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.3
expect = array([[0., 1.30637709, 1.00041168, 1.00041168],
[1.30637709, 0., 1.00041168, 1.00041168],
[1.00041168, 1.00041168, 0., 1.30637709],
[1.00041168, 1.00041168, 1.30637709, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.8
expect = array([[0., 0.55686383, 0.55605426, 0.55605426],
[0.55686383, 0., 0.55605426, 0.55605426],
[0.55605426, 0.55605426, 0., 0.55686383],
[0.55605426, 0.55605426, 0.55686383, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
def testZero3(self):
msa = array([list('AACC')] * 50 + [list('CCDD')] * 50, dtype='|S1')
expect = array([[0., 0.23179074, 0.23178758, 0.23178758],
[0.23179074, 0., 0.23178758, 0.23178758],
[0.23178758, 0.23178758, 0., 0.23178758],
[0.23178758, 0.23178758, 0.23178758, 0.]])
result = buildDirectInfoMatrix(msa)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.3
expect = array([[0., 0.54966352, 0.54965557, 0.54965557],
[0.54966352, 0., 0.54965557, 0.54965557],
[0.54965557, 0.54965557, 0., 0.54965565],
[0.54965557, 0.54965557, 0.54965565, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.8
expect = array([[0., 0.04349673, 0.0434971, 0.0434971],
[0.04349673, 0., 0.0434971, 0.0434971],
[0.0434971, 0.0434971, 0., 0.04349711],
[0.0434971, 0.0434971, 0.04349711, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
def testZero4(self):
msa = array([list('AAYY')] * 50 + [list('AADD')] * 50, dtype='|S1')
expect = array([[0., 0.68512031, 0.54656421, 0.54656421],
[0.68512031, 0., 0.54656421, 0.54656421],
[0.54656421, 0.54656421, 0., 1.05788193],
[0.54656421, 0.54656421, 1.05788193, 0.]])
result = buildDirectInfoMatrix(msa)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.3
expect = array([[0., 0.65929972, 0.52603587, 0.52603587],
[0.65929972, 0., 0.52603587, 0.52603587],
[0.52603587, 0.52603587, 0., 1.99332504],
[0.52603587, 0.52603587, 1.99332504, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.8
expect = array([[0., 0.48628027, 0.27348214, 0.27348214],
[0.48628027, 0., 0.27348214, 0.27348214],
[0.27348214, 0.27348214, 0., 0.65235465],
[0.27348214, 0.27348214, 0.65235465, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
def testTwenty(self):
seq = 'ACDEFGHIKLMNPQRSTVWY'
msa = array([[s, s] for s in seq], dtype='|S1')
expect = array([[0., 3.0302471958885744],
[3.0302471958885744, 0.]])
result = buildDirectInfoMatrix(msa)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.3
expect = array([[0., 3.0757238],
[3.0757238, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.8
expect = array([[0., 1.89488914],
[1.89488914, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
def testTwentyReversed(self):
seq = 'ACDEFGHIKLMNPQRSTVWY'
msa = array([[s, seq[-i-1]] for i, s in enumerate(seq)], dtype='|S1')
expect = array([[0., 3.030670764986982],
[3.030670764986982, 0.]])
result = buildDirectInfoMatrix(msa)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.3
expect = array([[0., 3.12974624],
[3.12974624, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.3)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.3, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
# pseudo_weight=0.8
expect = array([[0., 1.89488914],
[1.89488914, 0.]])
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(msa, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.9, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.9, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
result = buildDirectInfoMatrix(msa, seqid=0.4, pseudo_weight=0.8)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(
msa, seqid=0.4, pseudo_weight=0.8, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
def testMATLAB8(self):
di = fromfile(pathDatafile('msa_Cys_knot_di.dat'))
expect = di.reshape((8, 8))
fasta = FASTA[:, :8]
result = buildDirectInfoMatrix(fasta)
assert_array_almost_equal(
expect, result, err_msg='w/out refine failed')
result = buildDirectInfoMatrix(fasta, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
def testMATLAB10(self):
di = fromfile(pathDatafile('msa_Cys_knot_di.dat'))
expect = di.reshape((8, 8))
fasta = FASTA[:, :10]
result = buildDirectInfoMatrix(fasta, refine=True)
assert_array_almost_equal(expect, result, err_msg='refine failed')
| 44.138449 | 79 | 0.588904 | 6,231 | 52,922 | 4.82892 | 0.046221 | 0.088471 | 0.132773 | 0.171824 | 0.909768 | 0.895078 | 0.886636 | 0.836452 | 0.827146 | 0.821297 | 0 | 0.083569 | 0.285496 | 52,922 | 1,198 | 80 | 44.175292 | 0.712162 | 0.004743 | 0 | 0.767821 | 0 | 0 | 0.07785 | 0 | 0 | 0 | 0 | 0 | 0.244399 | 1 | 0.057026 | false | 0 | 0.008147 | 0 | 0.074338 | 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 |
21ce883732fe6d5c6de161b595f75c86e587257a | 48,733 | py | Python | snooty/test_openapi.py | nlarew/snooty-parser | b05da93853fea447d01fd933697219048a35a955 | [
"Apache-2.0",
"CNRI-Python-GPL-Compatible"
] | null | null | null | snooty/test_openapi.py | nlarew/snooty-parser | b05da93853fea447d01fd933697219048a35a955 | [
"Apache-2.0",
"CNRI-Python-GPL-Compatible"
] | null | null | null | snooty/test_openapi.py | nlarew/snooty-parser | b05da93853fea447d01fd933697219048a35a955 | [
"Apache-2.0",
"CNRI-Python-GPL-Compatible"
] | null | null | null | from pathlib import Path
from . import rstparser
from .util_test import check_ast_testing_string
from .types import ProjectConfig
from .parser import parse_rst, JSONVisitor
ROOT_PATH = Path("test_data")
def test_openapi() -> None:
path = ROOT_PATH.joinpath(Path("test.rst"))
project_config = ProjectConfig(ROOT_PATH, "", default_domain="mongodb", source="./")
parser = rstparser.Parser(project_config, JSONVisitor)
# Test a simple literally-included code block
page, diagnostics = parse_rst(
parser,
path,
"""
.. openapi:: /test_parser/openapi-admin-v3.yaml
""",
)
page.finish(diagnostics)
assert diagnostics == []
check_ast_testing_string(
page.ast,
"""
<root><directive domain="mongodb" name="openapi"><text>/test_parser/openapi-admin-v3.yaml</text><section><heading id="base-url"><text>Base URL</text></heading><code lang="none" copyable="True">https://realm.mongodb.com/api/admin/v3.0</code><paragraph><text>The root API resource and starting point for the Realm API.</text></paragraph></section><section><heading id="api-key-apis"><text>API Key APIs</text></heading><directive domain="mongodb" name="operation" hash="get-/groups/{groupid}/apps/{appid}/api_keys" method="get" path="/groups/{groupId}/apps/{appId}/api_keys"><paragraph><text>List </text><ref_role domain="std" name="doc" fileid="['/authentication/api-key', '']"><text>API keys</text></ref_role><text> associated with a Realm app.</text></paragraph><section><heading id="path-parameters"><text>Path Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>groupId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>An </text><substitution_reference name="atlas"></substitution_reference><text> </text><reference refuri="https://docs.atlas.mongodb.com/tutorial/manage-projects/"><text>Project/Group ID</text></reference><text>.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>appId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The ObjectID of your application.</text></paragraph></listItem></list><paragraph><ref_role domain="std" name="label" target="realm-api-project-and-application-ids"></ref_role><text> demonstrates how
to find this value.</text></paragraph></listItem></list></directive></section><section><heading id="header-parameters"><text>Header Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>Authorization</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The authorization token provided in the </text><literal><text>access_token</text></literal><text> field of</text></paragraph></listItem></list><paragraph><text>the </text><ref_role domain="std" name="label" target="post-/auth/providers/{provider}/login"></ref_role><text> and
</text><ref_role domain="std" name="label" target="post-/auth/session"></ref_role><text> API endpoints.</text></paragraph></listItem></list></directive></section><section><heading id="responses"><text>Responses</text></heading><paragraph><literal><text>200</text></literal><text>: The API keys were successfully listed.</text></paragraph><code lang="json" copyable="True">[
{
"_id": "string",
"name": "string",
"disabled": "boolean"
}
]</code><directive name="list-table" header-rows="1" widths="35 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Field</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>[]</text></literal></paragraph></listItem><listItem><paragraph><text>array of objects</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>[]._id</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>[].name</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>[].disabled</text></literal></paragraph></listItem><listItem><paragraph><text>boolean</text></paragraph></listItem><listItem></listItem></list></listItem></list></directive></section></directive><directive domain="mongodb" name="operation" hash="post-/groups/{groupid}/apps/{appid}/api_keys" method="post" path="/groups/{groupId}/apps/{appId}/api_keys"><paragraph><text>Create a new </text><ref_role domain="std" name="doc" fileid="['/authentication/api-key', '']"><text>API key</text></ref_role><text>.</text></paragraph><section><heading id="id1"><text>Path Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>groupId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>An </text><substitution_reference name="atlas"></substitution_reference><text> </text><reference refuri="https://docs.atlas.mongodb.com/tutorial/manage-projects/"><text>Project/Group ID</text></reference><text>.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>appId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The ObjectID of your application.</text></paragraph></listItem></list><paragraph><ref_role domain="std" name="label" target="realm-api-project-and-application-ids"></ref_role><text> demonstrates how
to find this value.</text></paragraph></listItem></list></directive></section><section><heading id="id2"><text>Header Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>Authorization</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The authorization token provided in the </text><literal><text>access_token</text></literal><text> field of</text></paragraph></listItem></list><paragraph><text>the </text><ref_role domain="std" name="label" target="post-/auth/providers/{provider}/login"></ref_role><text> and
</text><ref_role domain="std" name="label" target="post-/auth/session"></ref_role><text> API endpoints.</text></paragraph></listItem></list></directive></section><section><heading id="request-body"><text>Request Body </text><role domain="mongodb" name="required" target="True"></role></heading><paragraph><text>The API key to create.</text></paragraph><code lang="json" copyable="True">{
"name": "string"
}</code><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Field</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>name</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem></listItem></list></listItem></list></directive></section><section><heading id="id3"><text>Responses</text></heading><paragraph><literal><text>201</text></literal><text>: The API key was successfully created.</text></paragraph><code lang="json" copyable="True">{
"_id": "string",
"key": "string",
"name": "string",
"disabled": "string"
}</code><directive name="list-table" header-rows="1" widths="35 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Field</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>_id</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>key</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>name</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>disabled</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem></list></directive></section></directive></section><section><heading id="billing-apis"><text>Billing APIs</text></heading><directive domain="mongodb" name="operation" hash="get-/groups/{groupid}/apps/{appid}/measurements/" method="get" path="/groups/{groupId}/apps/{appId}/measurements/"><paragraph><text>List the request, compute, sync, data transfer, and memory usage of a specific app in a given period for </text><ref_role domain="std" name="doc" fileid="['/billing', '']"><text>billing</text></ref_role><text> purposes.</text></paragraph><section><heading id="id4"><text>Path Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>groupId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>An </text><substitution_reference name="atlas"></substitution_reference><text> </text><reference refuri="https://docs.atlas.mongodb.com/tutorial/manage-projects/"><text>Project/Group ID</text></reference><text>.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>appId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The ObjectID of your application.</text></paragraph></listItem></list><paragraph><ref_role domain="std" name="label" target="realm-api-project-and-application-ids"></ref_role><text> demonstrates how
to find this value.</text></paragraph></listItem></list></directive></section><section><heading id="query-parameters"><text>Query Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>start</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>optional</text></paragraph></listItem><listItem><paragraph><text>The ISO 8601 date and time of the start of the query period. Default is 00:00:00 UTC on the first day of the current month.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>end</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>optional</text></paragraph></listItem><listItem><paragraph><text>The ISO 8601 date and time of the end of the query period. Default is 23:59:59 UTC on the the last day of the current month.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>granularity</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>optional</text></paragraph></listItem><listItem><paragraph><text>Specifies the granularity of the query period, either P31D (31 day) or PT1H (1 hour). Default is P31D.</text></paragraph><paragraph><text>Possible Values:</text></paragraph><list enumtype="unordered"><listItem><paragraph><literal><text>P31D</text></literal></paragraph></listItem><listItem><paragraph><literal><text>PT1H</text></literal></paragraph></listItem></list></listItem></list></listItem></list></directive></section><section><heading id="id5"><text>Header Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>Authorization</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The authorization token provided in the </text><literal><text>access_token</text></literal><text> field of</text></paragraph></listItem></list><paragraph><text>the </text><ref_role domain="std" name="label" target="post-/auth/providers/{provider}/login"></ref_role><text> and
</text><ref_role domain="std" name="label" target="post-/auth/session"></ref_role><text> API endpoints.</text></paragraph></listItem></list></directive></section><section><heading id="id6"><text>Responses</text></heading><paragraph><literal><text>200</text></literal><text>: The measurements were successfully returned.</text></paragraph><code lang="json" copyable="True">{
"start": "string",
"end": "string",
"granularity": "string",
"group_id": "string",
"appId": "string",
"appName": "string",
"measurements": [
{
"name": "string",
"units": "string",
"data_points": [
{
"timestamp": "string",
"value": "number"
}
]
}
]
}</code><directive name="list-table" header-rows="1" widths="35 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Field</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>start</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>The RFC 3339 date and time of the start of the query period, which can be specified with the </text><literal><text>start</text></literal><text> query parameter.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>end</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>The RFC 3339 date and time of the end of the query period, which can be specified with the </text><literal><text>end</text></literal><text> query parameter.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>granularity</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>The granularity, which can be specified with the </text><literal><text>granularity</text></literal><text> query parameter.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>group_id</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>The </text><substitution_reference name="atlas"></substitution_reference><text> </text><reference refuri="https://docs.atlas.mongodb.com/tutorial/manage-projects/"><text>Group ID</text></reference><text>.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>appId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>The Realm app ID specified by the </text><literal><text>appId</text></literal><text> path parameter.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>appName</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>The name of the Realm app specified by the </text><literal><text>appId</text></literal><text> path parameter.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>measurements</text></literal></paragraph></listItem><listItem><paragraph><text>array</text></paragraph></listItem><listItem><paragraph><text>The array of measurements.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>measurements.[].name</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>The usage metric represented by each data point. See </text><ref_role domain="std" name="doc" fileid="['/billing', '']"><text>billing</text></ref_role><text>.</text></paragraph><paragraph><text>Possible Values:</text></paragraph><list enumtype="unordered"><listItem><paragraph><literal><text>request_count</text></literal></paragraph></listItem><listItem><paragraph><literal><text>compute_time</text></literal></paragraph></listItem><listItem><paragraph><literal><text>data_out</text></literal></paragraph></listItem><listItem><paragraph><literal><text>sync_time</text></literal></paragraph></listItem><listItem><paragraph><literal><text>mem_usage</text></literal></paragraph></listItem></list></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>measurements.[].units</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>The unit of the </text><literal><text>value</text></literal><text> of each data point.</text></paragraph><paragraph><text>Possible Values:</text></paragraph><list enumtype="unordered"><listItem><paragraph><literal><text><empty string></text></literal></paragraph></listItem><listItem><paragraph><literal><text>HOURS</text></literal></paragraph></listItem><listItem><paragraph><literal><text>GIGABYTES</text></literal></paragraph></listItem><listItem><paragraph><literal><text>GIGABYTE_SECONDS</text></literal></paragraph></listItem></list></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>measurements.[].data_points</text></literal></paragraph></listItem><listItem><paragraph><text>array</text></paragraph></listItem><listItem><paragraph><text>The array of data points for this measurement. A finer </text><literal><text>granularity</text></literal><text> results in more data points.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>measurements.[].data_points.[].timestamp</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>The ISO 8601 date and time of the data point.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>measurements.[].data_points.[].value</text></literal></paragraph></listItem><listItem><paragraph><text>number</text></paragraph></listItem><listItem><paragraph><text>The value at the time in the </text><literal><text>unit</text></literal><text> of the measurement.</text></paragraph></listItem></list></listItem></list></directive><paragraph><literal><text>400</text></literal><text>: There is an error in the request.</text></paragraph><code lang="json" copyable="True">{
"error": "string"
}</code><directive name="list-table" header-rows="1" widths="35 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Field</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>error</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>A message describing the error.</text></paragraph></listItem></list></listItem></list></directive></section></directive></section><section><heading id="logging-apis"><text>Logging APIs</text></heading><directive domain="mongodb" name="operation" hash="get-/groups/{groupid}/apps/{appid}/logs" method="get" path="/groups/{groupId}/apps/{appId}/logs"><paragraph><text>Retrieve MongoDB Realm logs.</text></paragraph><section><heading id="id7"><text>Path Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>groupId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>An </text><substitution_reference name="atlas"></substitution_reference><text> </text><reference refuri="https://docs.atlas.mongodb.com/tutorial/manage-projects/"><text>Project/Group ID</text></reference><text>.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>appId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The ObjectID of your application.</text></paragraph></listItem></list><paragraph><ref_role domain="std" name="label" target="realm-api-project-and-application-ids"></ref_role><text> demonstrates how
to find this value.</text></paragraph></listItem></list></directive></section><section><heading id="id8"><text>Query Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>co_id</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>optional</text></paragraph></listItem><listItem><paragraph><text>Return only log messages associated with the given request ID.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>errors_only</text></literal></paragraph></listItem><listItem><paragraph><text>boolean</text></paragraph></listItem><listItem><paragraph><text>optional</text></paragraph></listItem><listItem><paragraph><text>Whether to only return errors.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>user_id</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>optional</text></paragraph></listItem><listItem><paragraph><text>Return only log messages associated with the given </text><literal><text>user_id</text></literal><text>.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>start_date</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>optional</text></paragraph></listItem><listItem><paragraph><text>The date and time in ISO 8601 at which to begin returning results, exclusive.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>end_date</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>optional</text></paragraph></listItem><listItem><paragraph><text>The date and time in ISO 8601 at which to cease returning results, inclusive.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>skip</text></literal></paragraph></listItem><listItem><paragraph><text>integer</text></paragraph></listItem><listItem><paragraph><text>optional</text></paragraph></listItem><listItem><paragraph><text>The offset number of matching log entries to skip before including them in the response.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>limit</text></literal></paragraph></listItem><listItem><paragraph><text>integer</text></paragraph></listItem><listItem><paragraph><text>optional</text></paragraph></listItem><listItem><paragraph><text>The maximum number of log entries to include in the response. If the</text></paragraph></listItem></list><paragraph><text>query matches more than this many logs, it returns documents in
ascending order by date until the limit is reached.</text></paragraph></listItem></list></directive></section><section><heading id="id9"><text>Header Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>Authorization</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The authorization token provided in the </text><literal><text>access_token</text></literal><text> field of</text></paragraph></listItem></list><paragraph><text>the </text><ref_role domain="std" name="label" target="post-/auth/providers/{provider}/login"></ref_role><text> and
</text><ref_role domain="std" name="label" target="post-/auth/session"></ref_role><text> API endpoints.</text></paragraph></listItem></list></directive></section><section><heading id="id10"><text>Responses</text></heading><paragraph><literal><text>200</text></literal><text>: Successfully retrieved.</text></paragraph><code lang="json" copyable="True">{
"logs": [
{
"_id": "string",
"co_id": "string",
"domain_id": "string",
"app_id": "string",
"group_id": "string",
"request_url": "string",
"request_method": "string",
"started": "string",
"completed": "string",
"error": "string",
"error_code": "string",
"status": "integer"
}
],
"nextEndDate": "string",
"nextSkip": "integer"
}</code><directive name="list-table" header-rows="1" widths="35 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Field</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs</text></literal></paragraph></listItem><listItem><paragraph><text>array</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs.[]._id</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs.[].co_id</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs.[].domain_id</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs.[].app_id</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>The ObjectID of your application.</text></paragraph></listItem></list><paragraph><ref_role domain="std" name="label" target="realm-api-project-and-application-ids"></ref_role><text> demonstrates how
to find this value.</text></paragraph></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs.[].group_id</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>An </text><substitution_reference name="atlas"></substitution_reference><text> </text><reference refuri="https://docs.atlas.mongodb.com/tutorial/manage-projects/"><text>Project/Group ID</text></reference><text>.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs.[].request_url</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs.[].request_method</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs.[].started</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs.[].completed</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs.[].error</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs.[].error_code</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>logs.[].status</text></literal></paragraph></listItem><listItem><paragraph><text>integer</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>nextEndDate</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>The end date and time of the next page of log entries in ISO 8601 format. MongoDB Realm paginates the result sets of queries that match more than 100 log entries and includes this field in paginated responses. To get the next page of up to 100 entries, pass this value as the </text><literal><text>end_date</text></literal><text> parameter in a subsequent request.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>nextSkip</text></literal></paragraph></listItem><listItem><paragraph><text>integer</text></paragraph></listItem><listItem><paragraph><text>The offset into the next page of log entries in ISO 8601 format. MongoDB Realm paginates the result sets of queries that match more than 100 log entries and includes this field in paginated responses where the first entry on the next page has the same timestamp as the last entry on this page. To get the next page of up to 100 entries, pass this value, if it is present, as the </text><literal><text>skip</text></literal><text> parameter in a subsequent request.</text></paragraph></listItem></list></listItem></list></directive></section></directive></section><section><heading id="services-apis"><text>Services APIs</text></heading><directive domain="mongodb" name="operation" hash="get-/groups/{groupid}/apps/{appid}/services/{serviceid}" method="get" path="/groups/{groupId}/apps/{appId}/services/{serviceId}"><paragraph><text>Retrieve a </text><ref_role domain="std" name="label" target="services"><text>service</text></ref_role><text>.</text></paragraph><section><heading id="description"><text>Description</text></heading><paragraph><text>Test description here.</text></paragraph></section><section><heading id="id11"><text>Path Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>groupId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>An </text><substitution_reference name="atlas"></substitution_reference><text> </text><reference refuri="https://docs.atlas.mongodb.com/tutorial/manage-projects/"><text>Project/Group ID</text></reference><text>.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>appId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The ObjectID of your application.</text></paragraph></listItem></list><paragraph><ref_role domain="std" name="label" target="realm-api-project-and-application-ids"></ref_role><text> demonstrates how
to find this value.</text></paragraph></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>serviceId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>Service ID</text></paragraph></listItem></list></listItem></list></directive></section><section><heading id="id12"><text>Header Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>Authorization</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The authorization token provided in the </text><literal><text>access_token</text></literal><text> field of</text></paragraph></listItem></list><paragraph><text>the </text><ref_role domain="std" name="label" target="post-/auth/providers/{provider}/login"></ref_role><text> and
</text><ref_role domain="std" name="label" target="post-/auth/session"></ref_role><text> API endpoints.</text></paragraph></listItem></list></directive></section><section><heading id="id13"><text>Responses</text></heading><paragraph><literal><text>200</text></literal><text>: The service was successfully deleted.</text></paragraph><code lang="json" copyable="True">{
"_id": "string",
"name": "string",
"type": "string",
"version": "integer"
}</code><directive name="list-table" header-rows="1" widths="35 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Field</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>_id</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>name</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>type</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>version</text></literal></paragraph></listItem><listItem><paragraph><text>integer</text></paragraph></listItem><listItem></listItem></list></listItem></list></directive></section></directive><directive domain="mongodb" name="operation" hash="delete-/groups/{groupid}/apps/{appid}/services/{serviceid}" method="delete" path="/groups/{groupId}/apps/{appId}/services/{serviceId}"><paragraph><text>Delete a </text><ref_role domain="std" name="label" target="services"><text>service</text></ref_role><text>.</text></paragraph><section><heading id="id14"><text>Path Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>groupId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>An </text><substitution_reference name="atlas"></substitution_reference><text> </text><reference refuri="https://docs.atlas.mongodb.com/tutorial/manage-projects/"><text>Project/Group ID</text></reference><text>.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>appId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The ObjectID of your application.</text></paragraph></listItem></list><paragraph><ref_role domain="std" name="label" target="realm-api-project-and-application-ids"></ref_role><text> demonstrates how
to find this value.</text></paragraph></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>serviceId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>Service ID</text></paragraph></listItem></list></listItem></list></directive></section><section><heading id="id15"><text>Header Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>Authorization</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The authorization token provided in the </text><literal><text>access_token</text></literal><text> field of</text></paragraph></listItem></list><paragraph><text>the </text><ref_role domain="std" name="label" target="post-/auth/providers/{provider}/login"></ref_role><text> and
</text><ref_role domain="std" name="label" target="post-/auth/session"></ref_role><text> API endpoints.</text></paragraph></listItem></list></directive></section><section><heading id="id16"><text>Responses</text></heading><paragraph><literal><text>204</text></literal><text>: The service was successfully deleted.</text></paragraph></section></directive><directive domain="mongodb" name="operation" hash="patch-/groups/{groupid}/apps/{appid}/services/{serviceid}" method="patch" path="/groups/{groupId}/apps/{appId}/services/{serviceId}"><paragraph><text>Update a </text><ref_role domain="std" name="label" target="services"><text>service</text></ref_role><text>.</text></paragraph><section><heading id="id17"><text>Path Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>groupId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>An </text><substitution_reference name="atlas"></substitution_reference><text> </text><reference refuri="https://docs.atlas.mongodb.com/tutorial/manage-projects/"><text>Project/Group ID</text></reference><text>.</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>appId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The ObjectID of your application.</text></paragraph></listItem></list><paragraph><ref_role domain="std" name="label" target="realm-api-project-and-application-ids"></ref_role><text> demonstrates how
to find this value.</text></paragraph></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>serviceId</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>Service ID</text></paragraph></listItem></list></listItem></list></directive></section><section><heading id="id18"><text>Header Parameters</text></heading><directive name="list-table" header-rows="1" widths="20 15 15 50"><list enumtype="unordered"><listItem><list enumtype="unordered"><listItem><paragraph><text>Name</text></paragraph></listItem><listItem><paragraph><text>Type</text></paragraph></listItem><listItem><paragraph><text>Necessity</text></paragraph></listItem><listItem><paragraph><text>Description</text></paragraph></listItem></list></listItem><listItem><list enumtype="unordered"><listItem><paragraph><literal><text>Authorization</text></literal></paragraph></listItem><listItem><paragraph><text>string</text></paragraph></listItem><listItem><paragraph><text>required</text></paragraph></listItem><listItem><paragraph><text>The authorization token provided in the </text><literal><text>access_token</text></literal><text> field of</text></paragraph></listItem></list><paragraph><text>the </text><ref_role domain="std" name="label" target="post-/auth/providers/{provider}/login"></ref_role><text> and
</text><ref_role domain="std" name="label" target="post-/auth/session"></ref_role><text> API endpoints.</text></paragraph></listItem></list></directive></section><section><heading id="id19"><text>Responses</text></heading><paragraph><literal><text>200</text></literal><text>: Successfully updated.</text></paragraph></section></directive></section></directive></root>
""",
)
| 464.12381 | 6,070 | 0.745942 | 5,970 | 48,733 | 6.064489 | 0.055611 | 0.156884 | 0.150808 | 0.21787 | 0.918326 | 0.912222 | 0.905704 | 0.887336 | 0.873747 | 0.856097 | 0 | 0.006863 | 0.034248 | 48,733 | 104 | 6,071 | 468.586538 | 0.762409 | 0.000882 | 0 | 0 | 0 | 0 | 0.040689 | 0 | 0 | 0 | 0 | 0 | 0.047619 | 1 | 0.047619 | false | 0 | 0.238095 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
df6b2bbc98f05fb4c97735c897fd6e0ce0d1cb46 | 148 | py | Python | lib/config_utils/__init__.py | Wastoon/TSAL | 0f880c600f1a2e128de9c9fdfb94ae0776948cbe | [
"Apache-2.0"
] | 3 | 2021-01-26T07:36:08.000Z | 2021-04-25T13:47:12.000Z | lib/config_utils/__init__.py | Wastoon/TSAL | 0f880c600f1a2e128de9c9fdfb94ae0776948cbe | [
"Apache-2.0"
] | null | null | null | lib/config_utils/__init__.py | Wastoon/TSAL | 0f880c600f1a2e128de9c9fdfb94ae0776948cbe | [
"Apache-2.0"
] | null | null | null | #
from .configure_utils import load_configure
from .args import obtain_args as obtain_basic_args
#from .lk_args import obtain_args as obtain_lk_args | 37 | 51 | 0.858108 | 25 | 148 | 4.72 | 0.4 | 0.169492 | 0.271186 | 0.338983 | 0.474576 | 0.474576 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108108 | 148 | 4 | 51 | 37 | 0.893939 | 0.337838 | 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 |
df6bac698514834a247adcffca080220120191c6 | 2,272 | py | Python | accounts/forms.py | Omwakwe/twofactordemo | 7ed27f6f9e27dc9e82562007aa454e9f0e051022 | [
"MIT"
] | 2 | 2020-04-12T08:39:00.000Z | 2020-04-22T15:57:14.000Z | accounts/forms.py | Omwakwe/twofactordemo | 7ed27f6f9e27dc9e82562007aa454e9f0e051022 | [
"MIT"
] | null | null | null | accounts/forms.py | Omwakwe/twofactordemo | 7ed27f6f9e27dc9e82562007aa454e9f0e051022 | [
"MIT"
] | null | null | null | from django import forms
from accounts.models import *
class SignupForm(forms.ModelForm):
user_name = forms.CharField(widget=forms.TextInput(attrs={'class':"form-control input-sm", }))
password = forms.CharField(widget=forms.PasswordInput(attrs={'class':"form-control input-sm", }))
password_confirm = forms.CharField(widget=forms.PasswordInput(attrs={'class':"form-control input-sm", }))
first_name = forms.CharField(required=False,widget=forms.TextInput(attrs={'class':"form-control input-sm", }))
second_name = forms.CharField(required=False,widget=forms.TextInput(attrs={'class':"form-control input-sm", }))
last_name = forms.CharField(required=False,widget=forms.TextInput(attrs={'class':"form-control input-sm", }))
email = forms.EmailField(required=False, widget=forms.EmailInput(attrs={'class': "form-control input-sm",}))
class Meta:
model = User
fields = ('user_name','first_name','second_name','last_name'\
,'email', 'password','password_confirm',)
class LoginForm(forms.Form):
user_name = forms.CharField(widget=forms.TextInput(attrs={'class':"form-control input-sm", }))
password = forms.CharField(widget=forms.PasswordInput(attrs={'class':"form-control input-sm", }))
class Meta:
fields = ('user_name', 'password',)
class ProfileForm(forms.ModelForm):
user_name = forms.CharField(widget=forms.TextInput(attrs={'class':"form-control input-sm", }))
old_password = forms.CharField(widget=forms.PasswordInput(attrs={'class':"form-control input-sm", }))
new_password = forms.CharField(widget=forms.PasswordInput(attrs={'class':"form-control input-sm", }))
first_name = forms.CharField(required=False,widget=forms.TextInput(attrs={'class':"form-control input-sm", }))
second_name = forms.CharField(required=False,widget=forms.TextInput(attrs={'class':"form-control input-sm", }))
last_name = forms.CharField(required=False,widget=forms.TextInput(attrs={'class':"form-control input-sm", }))
email = forms.EmailField(widget=forms.EmailInput(attrs={'class': "form-control input-sm",}))
class Meta:
model = User
fields = ('user_name','first_name','second_name','last_name'\
,'email', 'old_password','new_password',) | 61.405405 | 115 | 0.705546 | 279 | 2,272 | 5.659498 | 0.132616 | 0.111463 | 0.141862 | 0.212793 | 0.878404 | 0.878404 | 0.878404 | 0.873338 | 0.867638 | 0.867638 | 0 | 0 | 0.120158 | 2,272 | 37 | 116 | 61.405405 | 0.789895 | 0 | 0 | 0.580645 | 0 | 0 | 0.25033 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.258065 | 0.064516 | 0 | 0.774194 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
10d2d3785ae8037376ac2c4b1e32d635e2ff33f2 | 57 | py | Python | site_scons/site_init.py | bdbaddog/scons-processing-demo | 99db34facd276aaf6d1691807969697640cf16ce | [
"MIT"
] | null | null | null | site_scons/site_init.py | bdbaddog/scons-processing-demo | 99db34facd276aaf6d1691807969697640cf16ce | [
"MIT"
] | null | null | null | site_scons/site_init.py | bdbaddog/scons-processing-demo | 99db34facd276aaf6d1691807969697640cf16ce | [
"MIT"
] | null | null | null | # Sample site_init.py
print("In site_tools/site_init.py") | 28.5 | 35 | 0.789474 | 11 | 57 | 3.818182 | 0.636364 | 0.380952 | 0.47619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.070175 | 57 | 2 | 35 | 28.5 | 0.792453 | 0.333333 | 0 | 0 | 0 | 0 | 0.702703 | 0.621622 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 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 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 |
80285dad4459405b4cf1035e4cab9bf7c9b0bae5 | 398 | py | Python | rick/util/cast.py | oddbit-project/rick | 6f6d9d68a7192a05393591a8ecddebaff5e385aa | [
"BSD-2-Clause"
] | null | null | null | rick/util/cast.py | oddbit-project/rick | 6f6d9d68a7192a05393591a8ecddebaff5e385aa | [
"BSD-2-Clause"
] | null | null | null | rick/util/cast.py | oddbit-project/rick | 6f6d9d68a7192a05393591a8ecddebaff5e385aa | [
"BSD-2-Clause"
] | null | null | null | def cast_str(value):
try:
return str(value) if value is not None else None
except ValueError:
return None
def cast_int(value):
try:
return int(value) if value is not None else None
except ValueError:
return None
def cast_float(value):
try:
return float(value) if value is not None else None
except ValueError:
return None
| 19.9 | 58 | 0.635678 | 57 | 398 | 4.385965 | 0.263158 | 0.084 | 0.168 | 0.168 | 0.716 | 0.716 | 0.716 | 0.716 | 0.716 | 0.716 | 0 | 0 | 0.311558 | 398 | 19 | 59 | 20.947368 | 0.912409 | 0 | 0 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 |
33a6f9a8d6fb9b4ff69093397d879055d45768f5 | 20,376 | py | Python | src/python_pachyderm/proto/admin/v1_8/pps/pps_pb2_grpc.py | barretthinson/python-pachyderm | 82cea22d1105d70833a5522ccac750ca521694ff | [
"Apache-2.0"
] | null | null | null | src/python_pachyderm/proto/admin/v1_8/pps/pps_pb2_grpc.py | barretthinson/python-pachyderm | 82cea22d1105d70833a5522ccac750ca521694ff | [
"Apache-2.0"
] | null | null | null | src/python_pachyderm/proto/admin/v1_8/pps/pps_pb2_grpc.py | barretthinson/python-pachyderm | 82cea22d1105d70833a5522ccac750ca521694ff | [
"Apache-2.0"
] | null | null | null | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
from python_pachyderm.proto.admin.v1_8.pps import pps_pb2 as client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
class APIStub(object):
# missing associated documentation comment in .proto file
pass
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.CreateJob = channel.unary_unary(
'/pps_1_8.API/CreateJob',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.CreateJobRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.Job.FromString,
)
self.InspectJob = channel.unary_unary(
'/pps_1_8.API/InspectJob',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.InspectJobRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.JobInfo.FromString,
)
self.ListJob = channel.unary_unary(
'/pps_1_8.API/ListJob',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListJobRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.JobInfos.FromString,
)
self.ListJobStream = channel.unary_stream(
'/pps_1_8.API/ListJobStream',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListJobRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.JobInfo.FromString,
)
self.FlushJob = channel.unary_stream(
'/pps_1_8.API/FlushJob',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.FlushJobRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.JobInfo.FromString,
)
self.DeleteJob = channel.unary_unary(
'/pps_1_8.API/DeleteJob',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.DeleteJobRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.StopJob = channel.unary_unary(
'/pps_1_8.API/StopJob',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.StopJobRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.InspectDatum = channel.unary_unary(
'/pps_1_8.API/InspectDatum',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.InspectDatumRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.DatumInfo.FromString,
)
self.ListDatum = channel.unary_unary(
'/pps_1_8.API/ListDatum',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListDatumRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListDatumResponse.FromString,
)
self.ListDatumStream = channel.unary_stream(
'/pps_1_8.API/ListDatumStream',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListDatumRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListDatumStreamResponse.FromString,
)
self.RestartDatum = channel.unary_unary(
'/pps_1_8.API/RestartDatum',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.RestartDatumRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.CreatePipeline = channel.unary_unary(
'/pps_1_8.API/CreatePipeline',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.CreatePipelineRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.InspectPipeline = channel.unary_unary(
'/pps_1_8.API/InspectPipeline',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.InspectPipelineRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.PipelineInfo.FromString,
)
self.ListPipeline = channel.unary_unary(
'/pps_1_8.API/ListPipeline',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListPipelineRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.PipelineInfos.FromString,
)
self.DeletePipeline = channel.unary_unary(
'/pps_1_8.API/DeletePipeline',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.DeletePipelineRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.StartPipeline = channel.unary_unary(
'/pps_1_8.API/StartPipeline',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.StartPipelineRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.StopPipeline = channel.unary_unary(
'/pps_1_8.API/StopPipeline',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.StopPipelineRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.RerunPipeline = channel.unary_unary(
'/pps_1_8.API/RerunPipeline',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.RerunPipelineRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.DeleteAll = channel.unary_unary(
'/pps_1_8.API/DeleteAll',
request_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.GetLogs = channel.unary_stream(
'/pps_1_8.API/GetLogs',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.GetLogsRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.LogMessage.FromString,
)
self.GarbageCollect = channel.unary_unary(
'/pps_1_8.API/GarbageCollect',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.GarbageCollectRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.GarbageCollectResponse.FromString,
)
self.ActivateAuth = channel.unary_unary(
'/pps_1_8.API/ActivateAuth',
request_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ActivateAuthRequest.SerializeToString,
response_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ActivateAuthResponse.FromString,
)
class APIServicer(object):
# missing associated documentation comment in .proto file
pass
def CreateJob(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def InspectJob(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ListJob(self, request, context):
"""ListJob returns information about current and past Pachyderm jobs. This is
deprecated in favor of ListJobStream
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ListJobStream(self, request, context):
"""ListJobStream returns information about current and past Pachyderm jobs.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def FlushJob(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def DeleteJob(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def StopJob(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def InspectDatum(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ListDatum(self, request, context):
"""ListDatum returns information about each datum fed to a Pachyderm job. This
is deprecated in favor of ListDatumStream
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ListDatumStream(self, request, context):
"""ListDatumStream returns information about each datum fed to a Pachyderm job
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def RestartDatum(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def CreatePipeline(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def InspectPipeline(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ListPipeline(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def DeletePipeline(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def StartPipeline(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def StopPipeline(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def RerunPipeline(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def DeleteAll(self, request, context):
"""DeleteAll deletes everything
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def GetLogs(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def GarbageCollect(self, request, context):
"""Garbage collection
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ActivateAuth(self, request, context):
"""An internal call that causes PPS to put itself into an auth-enabled state
(all pipeline have tokens, correct permissions, etcd)
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_APIServicer_to_server(servicer, server):
rpc_method_handlers = {
'CreateJob': grpc.unary_unary_rpc_method_handler(
servicer.CreateJob,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.CreateJobRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.Job.SerializeToString,
),
'InspectJob': grpc.unary_unary_rpc_method_handler(
servicer.InspectJob,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.InspectJobRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.JobInfo.SerializeToString,
),
'ListJob': grpc.unary_unary_rpc_method_handler(
servicer.ListJob,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListJobRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.JobInfos.SerializeToString,
),
'ListJobStream': grpc.unary_stream_rpc_method_handler(
servicer.ListJobStream,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListJobRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.JobInfo.SerializeToString,
),
'FlushJob': grpc.unary_stream_rpc_method_handler(
servicer.FlushJob,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.FlushJobRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.JobInfo.SerializeToString,
),
'DeleteJob': grpc.unary_unary_rpc_method_handler(
servicer.DeleteJob,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.DeleteJobRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'StopJob': grpc.unary_unary_rpc_method_handler(
servicer.StopJob,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.StopJobRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'InspectDatum': grpc.unary_unary_rpc_method_handler(
servicer.InspectDatum,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.InspectDatumRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.DatumInfo.SerializeToString,
),
'ListDatum': grpc.unary_unary_rpc_method_handler(
servicer.ListDatum,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListDatumRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListDatumResponse.SerializeToString,
),
'ListDatumStream': grpc.unary_stream_rpc_method_handler(
servicer.ListDatumStream,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListDatumRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListDatumStreamResponse.SerializeToString,
),
'RestartDatum': grpc.unary_unary_rpc_method_handler(
servicer.RestartDatum,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.RestartDatumRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'CreatePipeline': grpc.unary_unary_rpc_method_handler(
servicer.CreatePipeline,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.CreatePipelineRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'InspectPipeline': grpc.unary_unary_rpc_method_handler(
servicer.InspectPipeline,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.InspectPipelineRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.PipelineInfo.SerializeToString,
),
'ListPipeline': grpc.unary_unary_rpc_method_handler(
servicer.ListPipeline,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ListPipelineRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.PipelineInfos.SerializeToString,
),
'DeletePipeline': grpc.unary_unary_rpc_method_handler(
servicer.DeletePipeline,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.DeletePipelineRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'StartPipeline': grpc.unary_unary_rpc_method_handler(
servicer.StartPipeline,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.StartPipelineRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'StopPipeline': grpc.unary_unary_rpc_method_handler(
servicer.StopPipeline,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.StopPipelineRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'RerunPipeline': grpc.unary_unary_rpc_method_handler(
servicer.RerunPipeline,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.RerunPipelineRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'DeleteAll': grpc.unary_unary_rpc_method_handler(
servicer.DeleteAll,
request_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'GetLogs': grpc.unary_stream_rpc_method_handler(
servicer.GetLogs,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.GetLogsRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.LogMessage.SerializeToString,
),
'GarbageCollect': grpc.unary_unary_rpc_method_handler(
servicer.GarbageCollect,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.GarbageCollectRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.GarbageCollectResponse.SerializeToString,
),
'ActivateAuth': grpc.unary_unary_rpc_method_handler(
servicer.ActivateAuth,
request_deserializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ActivateAuthRequest.FromString,
response_serializer=client_dot_admin_dot_v1__8_dot_pps_dot_pps__pb2.ActivateAuthResponse.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'pps_1_8.API', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))
| 49.941176 | 120 | 0.778465 | 2,434 | 20,376 | 5.997124 | 0.066146 | 0.056724 | 0.066178 | 0.080359 | 0.843255 | 0.843255 | 0.837912 | 0.742413 | 0.735562 | 0.729533 | 0 | 0.016116 | 0.153416 | 20,376 | 407 | 121 | 50.063882 | 0.830087 | 0.080585 | 0 | 0.406528 | 1 | 0 | 0.096641 | 0.025327 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071217 | false | 0.050445 | 0.008902 | 0 | 0.086053 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
33c10d3f400f2d5c1e145dcbf225ff69adc7efc9 | 62,452 | py | Python | tests/test_public.py | gsakkis/typecheck | bc49d8651eff5944179967af55156219a0228b03 | [
"MIT"
] | null | null | null | tests/test_public.py | gsakkis/typecheck | bc49d8651eff5944179967af55156219a0228b03 | [
"MIT"
] | null | null | null | tests/test_public.py | gsakkis/typecheck | bc49d8651eff5944179967af55156219a0228b03 | [
"MIT"
] | null | null | null | import sys
import types
from support import TestCase
import typecheck
from typecheck import Set
def check_type(typ, obj):
typecheck.check_type(typ, None, obj)
class Test_returns(TestCase):
def test_success_1(self):
from typecheck import returns
@returns(int, int, int)
def foo():
return 5, 6, 7
assert foo() == (5, 6, 7)
assert foo.type_return == (int, int, int)
def test_success_2(self):
from typecheck import returns
@returns([int])
def foo():
return [4, 5, 6]
assert foo() == [4, 5, 6]
assert foo.type_return == [int]
def test_success_3(self):
from typecheck import returns
@returns([int], int, str)
def foo():
return [4, 5, 6], 5, "foo"
assert foo() == ([4, 5, 6], 5, "foo")
assert foo.type_return == ([int], int, str)
def test_success_4(self):
from typecheck import returns
@returns(int)
def foo():
return 7
assert foo() == 7
assert foo.type_return == int
def test_success_5(self):
from typecheck import returns
@returns((int,))
def foo():
return (7,)
assert foo() == (7,)
assert foo.type_return == (int,)
def test_failure_1(self):
from typecheck import returns, TypeCheckError, _TC_TypeError
@returns(int, int, int)
def foo():
return 5, 6
assert foo.type_return == (int, int, int)
try:
foo()
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == (int, int, int)
assert e.internal.wrong == (int, int)
self.assertEqual(str(e), "Return value: for (5, 6), expected (<type 'int'>, <type 'int'>, <type 'int'>), got (<type 'int'>, <type 'int'>)")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_2(self):
from typecheck import returns, TypeCheckError
from typecheck import _TC_TypeError, _TC_IndexError
@returns([int])
def foo():
return [4, 5, 6.0]
assert foo.type_return == [int]
try:
foo()
except TypeCheckError, e:
assert isinstance(e.internal, _TC_IndexError)
assert e.internal.index == 2
assert isinstance(e.internal.inner, _TC_TypeError)
assert e.internal.inner.wrong == float
assert e.internal.inner.right == int
self.assertEqual(str(e), "Return value: for [4, 5, 6.0], at index 2, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_3(self):
from typecheck import returns, TypeCheckError
from typecheck import _TC_TypeError, _TC_IndexError
@returns([int], int, str)
def foo():
return [4, 5, 6], 5, ["foo"]
assert foo.type_return == ([int], int, str)
try:
foo()
except TypeCheckError, e:
assert isinstance(e.internal, _TC_IndexError)
assert e.internal.index == 2
assert isinstance(e.internal.inner, _TC_TypeError)
assert e.internal.inner.wrong == [str]
assert e.internal.inner.right == str
self.assertEqual(str(e), "Return value: for ([4, 5, 6], 5, ['foo']), at index 2, expected <type 'str'>, got [<type 'str'>]")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_4(self):
from typecheck import returns, TypeCheckError, _TC_TypeError
@returns((int,))
def foo():
return 7
assert foo.type_return == (int,)
try:
foo()
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == (int,)
assert e.internal.wrong == int
self.assertEqual(str(e), "Return value: for 7, expected (<type 'int'>,), got <type 'int'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_decorator_returns_function(self):
from typecheck import returns
@returns((int,))
def foo():
return 7
assert isinstance(foo, types.FunctionType)
class Test_yields(TestCase):
def test_pass(self):
from typecheck import yields
@yields(int)
def foo(a):
yield a
yield a + 1
yield a + 2
gen = foo(5)
assert gen.next() == 5
assert gen.next() == 6
assert gen.next() == 7
assert foo.type_yield == int
assert gen.type_yield == foo.type_yield
try:
gen.next()
except StopIteration:
pass
else:
raise AssertionError("Failed to raise the proper exception")
def test_fail(self):
from typecheck import yields, TypeCheckError
from typecheck import _TC_GeneratorError, _TC_TypeError
@yields(int)
def foo(a):
yield a
gen = foo(5.0)
assert foo.type_yield == int
assert gen.type_yield == foo.type_yield
try:
gen.next()
except TypeCheckError, e:
assert isinstance(e.internal, _TC_GeneratorError)
assert e.internal.yield_no == 1
assert isinstance(e.internal.inner, _TC_TypeError)
assert e.internal.inner.right == int
assert e.internal.inner.wrong == float
self.assertEqual(str(e), "At yield #1: for 5.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
try:
gen.next()
except StopIteration:
pass
else:
raise AssertionError("Failed to raise the proper exception")
def test_restartable(self):
from typecheck import yields
@yields(int)
def foo(a):
yield a
yield a + 1
yield a + 2
assert foo.type_yield == int
assert foo(5).type_yield == foo.type_yield
for _ in (1, 2):
gen = foo(5)
assert gen.type_yield == foo.type_yield
assert gen.next() == 5
assert gen.next() == 6
assert gen.next() == 7
try:
gen.next()
except StopIteration:
pass
else:
raise AssertionError("Failed to raise the proper exception")
def test_fails_on_non_generators(self):
from typecheck import yields
@yields(int)
def foo(a):
return a + 1
try:
assert foo(5) == 6
except TypeError, e:
self.assertEqual(str(e), "yields only works for generators")
else:
raise AssertionError("Succeeded incorrectly")
def test_decorator_returns_function(self):
from typecheck import yields
@yields(int)
def foo():
yield 7
assert isinstance(foo, types.FunctionType)
class Test_accepts(TestCase):
def test_success_single_positional(self):
from typecheck import accepts
@accepts(int)
def foo(int_1):
return int_1
assert foo(6) == 6
assert foo.type_args == {'int_1': int}
def test_success_multiple_positional(self):
from typecheck import accepts
@accepts(int, int, int)
def foo(int_1, int_2, int_3):
return int_1, int_2, int_3
assert foo(1, 2, 3) == (1, 2, 3)
assert foo.type_args == {'int_1': int, 'int_2': int, 'int_3': int}
def test_success_multiple_positional_type_by_kw(self):
from typecheck import accepts
@accepts(int_2=int, int_1=int, int_3=int)
def foo(int_1, int_2, int_3):
return int_1, int_2, int_3
assert foo(1, 2, 3) == (1, 2, 3)
assert foo.type_args == {'int_1': int, 'int_2': int, 'int_3': int}
def test_success_multiple_keyword(self):
from typecheck import accepts
@accepts(kw_1=int, kw_2=int, kw_3=int)
def foo(kw_1=5, kw_2=6, kw_3=7):
return (kw_1, kw_2, kw_3)
assert foo() == (5, 6, 7)
assert foo(9, 9, 9) == (9, 9, 9)
assert foo(kw_1=33, kw_3=88) == (33, 6, 88)
assert foo(kw_3=55, kw_2=2) == (5, 2, 55)
assert foo.type_args == {'kw_1': int, 'kw_2': int, 'kw_3': int}
def test_success_multiple_keyword_type_by_pos(self):
from typecheck import accepts
# Checking type-specification, not arg-passing
@accepts(int, int, int)
def foo(kw_1=5, kw_2=6, kw_3=7):
return (kw_1, kw_2, kw_3)
assert foo() == (5, 6, 7)
assert foo(9, 9, 9) == (9, 9, 9)
assert foo(kw_1=33, kw_3=88) == (33, 6, 88)
assert foo(kw_3=55, kw_2=2) == (5, 2, 55)
assert foo.type_args == {'kw_1': int, 'kw_2': int, 'kw_3': int}
def test_success_kwargs_form_1(self):
from typecheck import accepts
# Type can be passed as a single type...
# (in this case, the values of the dict
# will be checked against the given type)
@accepts(kwargs=int)
def foo(**kwargs):
return kwargs
assert foo() == {}
assert foo(int_1=5, int_2=8) == {'int_1': 5, 'int_2': 8}
assert foo.type_args == {'kwargs': {str: int}}
def test_success_kwargs_form_2(self):
from typecheck import accepts
# ...or in normal dict form
# (in this case, full checking is done)
@accepts(kwargs={str: int})
def foo(**kwargs):
return kwargs
assert foo() == {}
assert foo(int_1=5, int_2=8) == {'int_1': 5, 'int_2': 8}
assert foo.type_args == {'kwargs': {str: int}}
def test_success_vargs_form_1(self):
from typecheck import accepts
# Type can be passed as a single type...
@accepts(vargs=int)
def foo(*vargs):
return vargs
assert foo() == ()
assert foo(5, 8) == (5, 8)
assert foo.type_args == {'vargs': [int]}
def test_success_vargs_form_2(self):
from typecheck import accepts
# ...or as an actual tuple. Note that
# this form is useful if you want to
# specify patterned tuples
@accepts(vargs=[int])
def foo(*vargs):
return vargs
assert foo() == ()
assert foo(5, 8) == (5, 8)
assert foo.type_args == {'vargs': [int]}
def test_success_pos_and_kw(self):
from typecheck import accepts
@accepts(int, int, foo=int)
def foo(req_1, req_2, foo=7):
return (req_1, req_2, foo)
assert foo(5, 6, foo=88) == (5, 6, 88)
assert foo(5, 6) == (5, 6, 7)
assert foo(foo=5, req_2=44, req_1=99) == (99, 44, 5)
assert foo.type_args == {'req_1': int, 'req_2': int, 'foo': int}
def test_success_unpacked_tuples(self):
from typecheck import accepts
@accepts(int, (int, (int, int)), int)
def foo(req_1, (req_2, (req_3, req_4)), req_5):
return (req_1, req_2, req_3, req_4, req_5)
assert foo(4, (5, (6, 7)), 8) == (4, 5, 6, 7, 8)
assert foo.type_args == {'req_1': int, ('req_2', ('req_3', 'req_4')): (int, (int, int)), 'req_5': int}
def test_failure_single_positional(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(int)
def foo(int_1):
return 7
assert foo.type_args == {'int_1': int}
try:
foo(6.0)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument int_1: for 6.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_multiple_positional_1(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(int, int, int)
def foo(int_1, int_2, int_3):
return 7
assert foo.type_args == {'int_1': int, 'int_2': int, 'int_3': int}
try:
foo(1, 2, 3.0)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument int_3: for 3.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_multiple_positional_2(self):
from typecheck import accepts
@accepts(int, int)
def foo(a, b):
return a, b
try:
foo(3)
except TypeError, e:
assert str(e) == "foo() takes exactly 2 arguments (1 given)"
else:
raise AssertionError("Failed to raise TypeError")
def test_failure_multiple_positional_type_by_kw(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(int_2=int, int_1=int, int_3=int)
def foo(int_1, int_2, int_3):
return 7
assert foo.type_args == {'int_1': int, 'int_2': int, 'int_3': int}
try:
foo(1, 2, 3.0)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument int_3: for 3.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_multiple_keyword_1(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(kw_1=int, kw_2=int, kw_3=int)
def foo(kw_1=5, kw_2=6, kw_3=7):
return (kw_1, kw_2, kw_3)
assert foo.type_args == {'kw_1': int, 'kw_2': int, 'kw_3': int}
try:
foo(9.0, 9, 9)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument kw_1: for 9.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_multiple_keyword_2(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(kw_1=int, kw_2=int, kw_3=int)
def foo(kw_1=5, kw_2=6, kw_3=7):
return (kw_1, kw_2, kw_3)
assert foo.type_args == {'kw_1': int, 'kw_2': int, 'kw_3': int}
try:
foo(kw_1=9.0, kw_3=88)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument kw_1: for 9.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Failed to raise TypeCheckError")
def test_failure_multiple_keyword_3(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(kw_1=int, kw_2=int, kw_3=int)
def foo(kw_1=5, kw_2=6, kw_3=7):
return (kw_1, kw_2, kw_3)
assert foo.type_args == {'kw_1': int, 'kw_2': int, 'kw_3': int}
try:
foo(kw_3=9.0, kw_1=88)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument kw_3: for 9.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Failed to raise TypeCheckError")
def test_failure_multiple_keyword_type_by_pos_1(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(int, int, int)
def foo(kw_1=5, kw_2=6, kw_3=7):
return (kw_1, kw_2, kw_3)
assert foo.type_args == {'kw_1':int, 'kw_2': int, 'kw_3': int}
try:
foo(9.0, 9, 9)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument kw_1: for 9.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_multiple_keyword_type_by_pos_2(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(int, int, int)
def foo(kw_1=5, kw_2=6, kw_3=7):
return (kw_1, kw_2, kw_3)
assert foo.type_args == {'kw_1':int, 'kw_2': int, 'kw_3': int}
try:
foo(kw_1=9.0, kw_3=88)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument kw_1: for 9.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_multiple_keyword_type_by_pos_3(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(int, int, kw_3=int)
def foo(kw_1=5, kw_2=6, kw_3=7):
return (kw_1, kw_2, kw_3)
assert foo.type_args == {'kw_1':int, 'kw_2': int, 'kw_3': int}
try:
foo(kw_3=9.0, kw_1=88)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument kw_3: for 9.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_kwargs_form_1(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError, _TC_KeyValError
# Type can be passed as a single type...
# (in this case, the values of the dict
# will be checked against the given type)
@accepts(kwargs=int)
def foo(**kwargs):
return kwargs
assert foo.type_args == {'kwargs': {str: int}}
try:
foo(int_1=5.0, int_2=8)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_KeyValError)
assert e.internal.key == 'int_1'
assert e.internal.val == 5.0
assert isinstance(e.internal.inner, _TC_TypeError)
assert e.internal.inner.right == int
assert e.internal.inner.wrong == float
self.assertEqual(str(e), "Argument kwargs: for {'int_1': 5.0, 'int_2': 8}, at key 'int_1', value 5.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_kwargs_form_2(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError, _TC_KeyValError
# ...or in normal dict form
# (in this case, full checking is done)
@accepts(kwargs={str: int})
def foo(**kwargs):
return kwargs
assert foo.type_args == {'kwargs': {str: int}}
try:
foo(int_1=5.0, int_2=8)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_KeyValError)
assert e.internal.key == 'int_1'
assert e.internal.val == 5.0
assert isinstance(e.internal.inner, _TC_TypeError)
assert e.internal.inner.right == int
assert e.internal.inner.wrong == float
self.assertEqual(str(e), "Argument kwargs: for {'int_1': 5.0, 'int_2': 8}, at key 'int_1', value 5.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_vargs_form_1(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError, _TC_IndexError
# Type can be passed as a single type...
@accepts(vargs=int)
def foo(*vargs):
return vargs
assert foo.type_args == {'vargs': [int]}
try:
foo(5, 8.0)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_IndexError)
assert e.internal.index == 1
assert isinstance(e.internal.inner, _TC_TypeError)
assert e.internal.inner.right == int
assert e.internal.inner.wrong == float
self.assertEqual(str(e), "Argument vargs: for [5, 8.0], at index 1, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_vargs_form_2(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError, _TC_IndexError
# ...or as an actual list. Note that
# this form is useful if you want to
# specify patterned lists
@accepts(vargs=[int])
def foo(*vargs):
return vargs
assert foo.type_args == {'vargs': [int]}
try:
foo(5, 8.0)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_IndexError)
assert e.internal.index == 1
assert isinstance(e.internal.inner, _TC_TypeError)
assert e.internal.inner.right == int
assert e.internal.inner.wrong == float
self.assertEqual(str(e), "Argument vargs: for [5, 8.0], at index 1, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_pos_and_kw_1(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(int, int, foo=int)
def foo(req_1, req_2, foo=7):
return (req_1, req_2, foo)
assert foo.type_args == {'foo': int, 'req_1':int, 'req_2': int}
try:
foo(5, 6.0, foo=88)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument req_2: for 6.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_pos_and_kw_2(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(int, int, foo=int)
def foo(req_1, req_2, foo=7):
return (req_1, req_2, foo)
assert foo.type_args == {'foo': int, 'req_1':int, 'req_2': int}
try:
foo(5, 6, foo=88.0)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument foo: for 88.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_pos_and_kw_3(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(int, int, foo=int)
def foo(req_1, req_2, foo=7):
return (req_1, req_2, foo)
assert foo.type_args == {'foo': int, 'req_1':int, 'req_2': int}
try:
foo(foo=5, req_2=44, req_1=99.0)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument req_1: for 99.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_unpacked_tuples_1(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_IndexError, _TC_TypeError
@accepts(int, (int, (int, int)), int)
def foo(a, (b, (c, d)), e):
return a, b, c, d, e
assert foo.type_args == {'a': int, ('b', ('c', 'd')): (int, (int, int)), 'e': int}
try:
foo(5, (6, (7, 8.0)), 9)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_IndexError)
assert e.internal.index == 1
assert isinstance(e.internal.inner, _TC_IndexError)
assert e.internal.inner.index == 1
assert isinstance(e.internal.inner.inner, _TC_TypeError)
assert e.internal.inner.inner.right == int
assert e.internal.inner.inner.wrong == float
self.assertEqual(str(e), "Argument (b, (c, d)): for (6, (7, 8.0)), at index 1, at index 1, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_unpacked_tuples_2(self):
from typecheck import accepts
@accepts(int, (int, (int, int)), int)
def foo(a, (b, (c, d)), e):
return a, b, c, d, e
assert foo.type_args == {'a': int, ('b', ('c', 'd')): (int, (int, int)), 'e': int}
try:
foo(5, (6, 4), 9)
except TypeError, e:
if sys.version_info[:2] >= (2, 5):
self.assertEqual(str(e), "'int' object is not iterable")
else:
self.assertEqual(str(e), "unpack non-sequence")
else:
raise AssertionError("Succeeded incorrectly")
def test_failure_unpacked_tuples_3(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(int, (int, (int, int)), int)
def foo(a, (b, (c, d)), e):
return a, b, c, d, e
assert foo.type_args == {'a': int, ('b', ('c', 'd')): (int, (int, int)), 'e': int}
try:
foo(5, (6, (7, 8)), (9, 10))
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == (int, int)
self.assertEqual(str(e), "Argument e: for (9, 10), expected <type 'int'>, got (<type 'int'>, <type 'int'>)")
else:
raise AssertionError("Succeeded incorrectly")
def test_generators_pass(self):
from typecheck import accepts
@accepts(int)
def foo(a):
yield a
yield a + 1
yield a + 2
gen = foo(5)
assert gen.next() == 5
assert gen.next() == 6
assert gen.next() == 7
assert foo.type_args == {'a': int}
def test_generators_fail(self):
from typecheck import accepts, TypeCheckError
from typecheck import _TC_TypeError
@accepts(int)
def foo(a):
yield a
yield a + 1
yield a + 2
assert foo.type_args == {'a': int}
try:
foo(5.0)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument a: for 5.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
def test_bad_signature_missing_pos(self):
from typecheck import accepts, TypeSignatureError
from typecheck import _TS_MissingTypeError
try:
@accepts(int, int, int)
def foo(a, b, c, e):
return a, b, c, e
except TypeSignatureError, e:
assert isinstance(e.internal, _TS_MissingTypeError)
assert e.internal.parameter == 'e'
self.assertEqual(str(e), "parameter 'e' lacks a type")
else:
raise AssertionError("Succeeded incorrectly")
def test_bad_signature_missing_kw(self):
from typecheck import accepts, TypeSignatureError
from typecheck import _TS_MissingTypeError
try:
@accepts(a=int, b=int, c=int)
def foo(a=5, b=6, c=7, d=8):
return a, b, c, d
except TypeSignatureError, e:
assert isinstance(e.internal, _TS_MissingTypeError)
assert e.internal.parameter == 'd'
self.assertEqual(str(e), "parameter 'd' lacks a type")
else:
raise AssertionError("Succeeded incorrectly")
def test_bad_signature_duplicate_kw(self):
from typecheck import accepts, TypeSignatureError
from typecheck import _TS_TwiceTypedError
try:
@accepts(int, a=int, b=int, c=int)
def foo(a=5, b=6, c=7):
return a, b, c
except TypeSignatureError, e:
assert isinstance(e.internal, _TS_TwiceTypedError)
assert e.internal.parameter == 'a'
assert e.internal.kw_type == int
assert e.internal.pos_type == int
self.assertEqual(str(e), "parameter 'a' is provided two types (<type 'int'> and <type 'int'>)")
else:
raise AssertionError("Succeeded incorrectly")
def test_bad_signature_extra_pos(self):
from typecheck import accepts, TypeSignatureError
from typecheck import _TS_ExtraPositionalError
try:
@accepts(int, int, int, int)
def foo(a, b, c):
return a, b, c
except TypeSignatureError, e:
assert isinstance(e.internal, _TS_ExtraPositionalError)
assert e.internal.type == int
self.assertEqual(str(e), "an extra positional type has been supplied")
else:
raise AssertionError("Succeeded incorrectly")
def test_bad_signature_extra_kw(self):
from typecheck import accepts, TypeSignatureError
from typecheck import _TS_ExtraKeywordError
try:
@accepts(a=int, b=int, c=int)
def foo(a=5, b=6):
return a, b
except TypeSignatureError, e:
assert isinstance(e.internal, _TS_ExtraKeywordError)
assert e.internal.keyword == 'c'
self.assertEqual(str(e), "the keyword 'c' in the signature is not in the function")
else:
raise AssertionError("Succeeded incorrectly")
def test_bad_signature_unpack_nonsequence(self):
from typecheck import accepts, TypeSignatureError
from typecheck import _TS_TupleError
try:
@accepts(int, int)
def foo(a, (b, c)):
return a, b, c
except TypeSignatureError, e:
assert isinstance(e.internal, _TS_TupleError)
assert e.internal.parameters == ('b', 'c')
assert e.internal.types == int
self.assertEqual(str(e), "the signature type <type 'int'> does not match ('b', 'c')")
else:
raise AssertionError("Succeeded incorrectly")
def test_bad_signature_unpack_bad_sequence_1(self):
from typecheck import accepts, TypeSignatureError
from typecheck import _TS_TupleError
try:
@accepts(int, (int, int, int))
def foo(a, (b, c)):
return a, b, c
except TypeSignatureError, e:
assert isinstance(e.internal, _TS_TupleError)
assert e.internal.parameters == ('b', 'c')
assert e.internal.types == (int, int, int)
self.assertEqual(str(e), "the signature type (<type 'int'>, <type 'int'>, <type 'int'>) does not match ('b', 'c')")
else:
raise AssertionError("Succeeded incorrectly")
def test_bad_signature_unpack_bad_sequence_2(self):
from typecheck import accepts, TypeSignatureError
from typecheck import _TS_TupleError
try:
@accepts(int, (int, int))
def foo(a, (b, c, d)):
return a, b, c, d
except TypeSignatureError, e:
assert isinstance(e.internal, _TS_TupleError)
assert e.internal.parameters == ('b', 'c', 'd')
assert e.internal.types == (int, int)
self.assertEqual(str(e), "the signature type (<type 'int'>, <type 'int'>) does not match ('b', 'c', 'd')")
else:
raise AssertionError("Succeeded incorrectly")
def test_bad_signature_unpack_bad_sequence_3(self):
from typecheck import accepts, TypeSignatureError
from typecheck import _TS_TupleError
try:
@accepts(int, (int, (int, int), (int, int)))
def foo(a, (b, (c, d, e), (f, g))):
return a, b, c, d, e, f, g
except TypeSignatureError, e:
assert isinstance(e.internal, _TS_TupleError)
assert e.internal.parameters == ('b', ('c', 'd', 'e'), ('f', 'g'))
assert e.internal.types == (int, (int, int), (int, int))
self.assertEqual(str(e), "the signature type (<type 'int'>, (<type 'int'>, <type 'int'>), (<type 'int'>, <type 'int'>)) does not match ('b', ('c', 'd', 'e'), ('f', 'g'))")
else:
raise AssertionError("Succeeded incorrectly")
def test_decorator_returns_function(self):
from typecheck import accepts
@accepts(int)
def foo(a):
return 7
assert isinstance(foo, types.FunctionType)
def test_method_retains_name_docstring(self):
from typecheck import accepts
@accepts(int)
def f(a):
'f docstring'
self.assertEquals(f.__name__, 'f')
self.assertEquals(f.__doc__, 'f docstring')
def test_oldstyle_classes_accepted(self):
from typecheck import accepts, TypeCheckError
class T: pass
class T2(T): pass
@accepts(T)
def f(t_instance):
pass
f(T())
f(T2())
self.assertRaises(TypeCheckError, f, T)
self.assertRaises(TypeCheckError, f, T2)
class SetTests(TestCase):
def test_success_basic(self):
check_type(Set([int]), set([4, 5, 6, 4, 5, 6]))
def test_success_mutlitypes(self):
check_type(Set([int, float]), set([4, 5.0, 6, 4, 5, 6.0]))
def test_success_nested(self):
from typecheck import Or
check_type(Set([(int, int)]), set([(4, 5), (6, 7)]))
check_type(Set([Or(int, float)]), set([4, 4.0, 5, 5.0]))
def test_failure(self):
from typecheck import _TC_KeyError, _TC_TypeError
try:
check_type(Set([int]), set([4, 5, 6.0]))
except _TC_KeyError, e:
assert e.key == 6.0
assert isinstance(e.inner, _TC_TypeError)
assert e.inner.right == int
assert e.inner.wrong == float
else:
raise AssertionError("Did not raise the proper exception")
def test_failure_multitypes(self):
from typecheck import Or, _TC_KeyError, _TC_TypeError
try:
check_type(Set([int, float]), set([4, 5, 6.0, 's']))
except _TC_KeyError, e:
assert e.key == 's'
assert isinstance(e.inner, _TC_TypeError)
assert e.inner.right == Or(int, float)
assert e.inner.wrong == str
else:
raise AssertionError("Did not raise the proper exception")
def test_failure_nested(self):
from typecheck import _TC_KeyError, _TC_TypeError
try:
check_type(Set([(int, int)]), set([(4, 5), (4, 6.0)]))
except _TC_KeyError, e:
assert e.key == (4, 6.0)
assert isinstance(e.inner, _TC_TypeError)
assert e.inner.right == (int, int)
assert e.inner.wrong == (int, float)
else:
raise AssertionError("Did not raise the proper exception")
def test_equality(self):
class A(object): pass
class B(A): pass
eq_tests = [
(Set([str]), Set([str])),
(Set([A, B]), Set([A, B])),
(Set([int, int, str]), Set([int, str])),
(Set([int, str]), Set([str, int])),
(Set([Set([int, float]), int]), Set([Set([float, int]), int])),
(Set([Set([int, str]), Set([int, str])]), Set([Set([int, str])])) ]
ne_tests = [
(Set([A, B]), Set([B, B])),
(Set([A, B]), Set([A, A])),
(Set([Set([int, str])]), Set([Set([Set([int, str])])])),
(Set([int, int]), set([int, int])) ]
self.multipleAssertEqual(eq_tests, ne_tests)
def test_hash(self):
class A(object): pass
class B(A): pass
eq_tests = [
(Set([str]), Set([str])),
(Set([A, B]), Set([A, B])),
(Set([int, int, str]), Set([int, str])),
(Set([int, str]), Set([str, int])),
(Set([Set([int, float]), int]), Set([Set([float, int]), int])),
(Set([Set([int, str]), Set([int, str])]), Set([Set([int, str])])) ]
ne_tests = [
(Set([A, B]), Set([B, B])),
(Set([A, B]), Set([A, A])),
(Set([Set([int, str])]), Set([Set([Set([int, str])])])) ]
self.multipleAssertEqualHashes(eq_tests, ne_tests)
def test_Type_uses_it(self):
from typecheck import Type
t = Type(set([int, float]))
assert isinstance(t, Set)
class Test_cooperation(TestCase):
def test_args_pass_return_pass(self):
from typecheck import accepts, returns
def run_test(dec_1, dec_2):
@dec_1(int, int)
@dec_2(int, int)
def foo(a, b):
return a, b
assert foo(5, 6) == (5, 6)
assert foo.type_return == (int, int)
assert foo.type_args == {'a': int, 'b': int}
run_test(accepts, returns)
run_test(returns, accepts)
def test_args_pass_return_fail(self):
from typecheck import accepts, returns
from typecheck import TypeCheckError, _TC_IndexError, _TC_TypeError
def run_test(dec_1, dec_2):
@dec_1(int, int)
@dec_2(int, int)
def foo(a, b):
return a, float(b)
assert foo.type_return == (int, int)
assert foo.type_args == {'a': int, 'b': int}
try:
foo(5, 6)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_IndexError)
assert e.internal.index == 1
assert isinstance(e.internal.inner, _TC_TypeError)
assert e.internal.inner.right == int
assert e.internal.inner.wrong == float
self.assertEqual(str(e), "Return value: for (5, 6.0), at index 1, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
run_test(accepts, returns)
run_test(returns, accepts)
def test_args_return_builds_function(self):
from typecheck import accepts, returns
def run_test(dec_1, dec_2):
@dec_1(int, int)
@dec_2(int, int)
def foo(a, b):
return a, float(b)
assert isinstance(foo, types.FunctionType)
run_test(accepts, returns)
run_test(returns, accepts)
def test_args_pass_yield_pass(self):
from typecheck import accepts, yields
def run_test(dec_1, dec_2):
@dec_1(int, int)
@dec_2(int, int)
def foo(a, b):
yield a, b
yield a + 1, b
yield a, b + 1
assert foo.type_yield == (int, int)
assert foo.type_args == {'a': int, 'b': int}
gen = foo(5, 6)
assert gen.next() == (5, 6)
assert gen.next() == (6, 6)
assert gen.next() == (5, 7)
assert gen.type_yield == foo.type_yield
try:
gen.next()
except StopIteration:
pass
else:
raise AssertionError("Failed to raise the proper exception")
run_test(accepts, yields)
run_test(yields, accepts)
def test_args_pass_yield_fail(self):
from typecheck import accepts, yields
from typecheck import TypeCheckError, _TC_IndexError, _TC_TypeError
from typecheck import _TC_GeneratorError
def run_test(dec_1, dec_2):
@dec_1(int, int)
@dec_2(int, int)
def foo(a, b):
yield a, b
yield a, float(b)
assert foo.type_yield == (int, int)
assert foo.type_args == {'a': int, 'b': int}
gen = foo(5, 6)
assert gen.type_yield == foo.type_yield
assert gen.next() == (5, 6)
try:
gen.next()
except TypeCheckError, e:
assert isinstance(e.internal, _TC_GeneratorError)
assert e.internal.yield_no == 2
assert isinstance(e.internal.inner, _TC_IndexError)
assert e.internal.inner.index == 1
assert isinstance(e.internal.inner.inner, _TC_TypeError)
assert e.internal.inner.inner.right == int
assert e.internal.inner.inner.wrong == float
self.assertEqual(str(e), "At yield #2: for (5, 6.0), at index 1, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Succeeded incorrectly")
try:
gen.next()
except StopIteration:
pass
else:
raise AssertionError("Failed to raise the proper exception")
run_test(accepts, yields)
run_test(yields, accepts)
def test_args_yield_builds_function(self):
from typecheck import accepts, yields
def run_test(dec_1, dec_2):
@dec_1(int, int)
@dec_2(int, int)
def foo(a, b):
yield a, float(b)
assert isinstance(foo, types.FunctionType)
run_test(accepts, yields)
run_test(yields, accepts)
def __test_doubler(self, decorator):
try:
@decorator(int, int)
@decorator(int, int)
def foo(a, b):
return a, b
except RuntimeError, e:
self.assertEqual(str(e), 'Cannot use the same typecheck_* function more than once on the same function')
else:
raise AssertionError("Succeeded incorrectly")
def test_double_accepts(self):
from typecheck import accepts
self.__test_doubler(accepts)
def test_double_returns(self):
from typecheck import returns
self.__test_doubler(returns)
def test_double_yields(self):
from typecheck import yields
self.__test_doubler(yields)
def test_return_and_yield(self):
from typecheck import yields, returns
try:
@yields(int, int)
@returns(int, int)
def foo(a, b):
return a, b
except RuntimeError, e:
self.assertEqual(str(e), 'Cannot use returns and yields on the same function')
else:
raise AssertionError("Succeeded incorrectly")
def test_no_double_execution_return(self):
from typecheck import accepts, returns
def double_execution(dec_1, dec_2):
# We need to make sure that the function only gets executed once,
# even if it's wrapped by two decorators
usage_counter = [0]
@dec_1(int)
@dec_2(int)
def foo(a):
usage_counter[0] += 1
return a
assert foo(5) == 5
assert usage_counter[0] == 1
double_execution(accepts, returns)
double_execution(returns, accepts)
def test_no_double_execution_yield(self):
from typecheck import accepts, yields
def double_execution(dec_1, dec_2):
# We need to make sure that the function only gets executed once,
# even if it's wrapped by two decorators
usage_counter = [0]
@dec_1(int)
@dec_2(int)
def foo(a):
usage_counter[0] += 1
yield a
gen = foo(5)
assert gen.next() == 5
assert usage_counter[0] == 1
try:
gen.next()
except StopIteration:
pass
else:
raise AssertionError("Failed to raise the proper exception")
double_execution(accepts, yields)
double_execution(yields, accepts)
def test_verify_args_checked_first__return(self):
from typecheck import accepts, returns
from typecheck import TypeCheckError, _TC_TypeError
def run_test(dec_1, dec_2):
@dec_1
@dec_2
def foo(a, b):
return 'a'
try:
assert foo(5.0, 6.0) == 5.0
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument a: for 5.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Failed to raise the proper exception")
run_test(accepts(int, int), returns(float))
run_test(returns(float), accepts(int, int))
def test_verify_args_checked_first__yield(self):
from typecheck import accepts, yields
from typecheck import TypeCheckError, _TC_TypeError
def run_test(dec_1, dec_2):
@dec_1
@dec_2
def foo(a, b):
yield 'a'
try:
assert foo(5.0, 6.0).next() == 5.0
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.right == int
assert e.internal.wrong == float
self.assertEqual(str(e), "Argument a: for 5.0, expected <type 'int'>, got <type 'float'>")
else:
raise AssertionError("Failed to raise the proper exception")
run_test(accepts(int, int), yields(float))
run_test(yields(float), accepts(int, int))
class Test_Self_class(TestCase):
def test_self_in_args_pass(self):
from typecheck import accepts, Self
class Test(object):
@accepts(Self(), int, Self())
def foo(self, a, b):
return a, b
t = Test()
assert Test().foo(4, t) == (4, t)
assert Test.foo.type_args == {'self': Self(), 'a': int, 'b': Self()}
def test_self_in_args_fail(self):
from typecheck import accepts, Self, TypeCheckError
from typecheck import _TC_TypeError
class Test(object):
@accepts(Self(), int, Self())
def foo(self, a, b):
return a, b
assert Test.foo.type_args == {'self': Self(), 'a': int, 'b': Self()}
try:
assert Test().foo(4, 6) == (4, 6)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_TypeError)
assert e.internal.wrong == int
assert e.internal.right == Test
else:
raise AssertionError("Succeeded incorrectly")
def test_self_in_return_pass(self):
from typecheck import returns, Self
class Test(object):
@returns(Self(), int, Self())
def foo(self, a, b):
return self, a, b
t = Test()
t_1 = Test()
assert t_1.foo(4, t) == (t_1, 4, t)
assert Test.foo.type_return == (Self(), int, Self())
def test_self_in_return_fail(self):
from typecheck import returns, Self, TypeCheckError
from typecheck import _TC_IndexError, _TC_TypeError
class Test(object):
@returns(Self(), int, Self())
def foo(self, a, b):
return self, a, b
try:
t = Test()
assert t.foo(4, 6) == (t, 4, 6)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_IndexError)
assert e.internal.index == 2
assert isinstance(e.internal.inner, _TC_TypeError)
assert e.internal.inner.wrong == int
assert e.internal.inner.right == Test
else:
raise AssertionError("Succeeded incorrectly")
assert Test.foo.type_return == (Self(), int, Self())
def test_self_in_yield_pass(self):
from typecheck import yields, Self
class Test(object):
@yields(Self(), int, Self())
def foo(self, a, b):
yield self, a, self
t = Test()
assert t.foo(4, 6).next() == (t, 4, t)
assert Test.foo.type_yield == (Self(), int, Self())
def test_self_in_args_yield_pass(self):
from typecheck import yields, Self
from typecheck import accepts
class Test(object):
@accepts(Self(), int, int)
@yields(Self(), int, Self())
def foo(self, a, b):
yield self, a, self
t = Test()
assert t.foo(4, 6).next() == (t, 4, t)
assert Test.foo.type_yield == (Self(), int, Self())
assert Test.foo.type_args == {'self': Self(), 'a': int, 'b': int}
def test_self_in_args_yield_fail(self):
from typecheck import yields, Self, TypeCheckError
from typecheck import _TC_IndexError, _TC_TypeError
from typecheck import _TC_GeneratorError, accepts
class Test(object):
@accepts(Self(), int, int)
@yields(Self(), int, Self())
def foo(self, a, b):
yield b, a, b
assert Test.foo.type_yield == (Self(), int, Self())
assert Test.foo.type_args == {'self': Self(), 'a': int, 'b': int}
try:
assert Test().foo(4, 6).next() == (6, 4, 6)
except TypeCheckError, e:
assert isinstance(e.internal, _TC_GeneratorError)
assert e.internal.yield_no == 1
assert isinstance(e.internal.inner, _TC_IndexError)
assert e.internal.inner.index == 0
assert isinstance(e.internal.inner.inner, _TC_TypeError)
assert e.internal.inner.inner.wrong == int
assert e.internal.inner.inner.right == Test
else:
raise AssertionError("Succeeded incorrectly")
class Test_enable_checking_global(TestCase):
def tearDown(self):
typecheck.enable_checking = True
def test_accepts(self):
from typecheck import accepts, TypeCheckError
@accepts(int)
def foo(a):
return a
typecheck.enable_checking = True
assert foo(5) == 5
typecheck.enable_checking = False
assert foo(5.0) == 5.0
typecheck.enable_checking = True
try:
assert foo(5.0) == 5.0
except TypeCheckError:
pass # We don't need to look at this
else:
raise AssertionError("Succeeded incorrectly")
def test_returns(self):
from typecheck import returns, TypeCheckError
@returns(int)
def foo(a):
return a
typecheck.enable_checking = True
assert foo(5) == 5
typecheck.enable_checking = False
assert foo(5.0) == 5.0
typecheck.enable_checking = True
try:
assert foo(5.0) == 5.0
except TypeCheckError:
pass # We don't need to look at this
else:
raise AssertionError("Succeeded incorrectly")
def test_yields(self):
from typecheck import yields, TypeCheckError
@yields(int)
def foo(a):
yield a
typecheck.enable_checking = True
gen = foo(5)
assert gen.next() == 5
try:
gen.next()
except StopIteration:
pass
else:
raise AssertionError("Failed to raise the proper exception")
typecheck.enable_checking = False
gen = foo(5.0)
assert gen.next() == 5.0
try:
gen.next()
except StopIteration:
pass
else:
raise AssertionError("Failed to raise the proper exception")
typecheck.enable_checking = True
gen = foo(5.0)
try:
assert gen.next() == 5.0
except TypeCheckError:
pass # We don't need to look at this
else:
raise AssertionError("Succeeded incorrectly")
try:
gen.next()
except StopIteration:
pass
else:
raise AssertionError("Failed to raise the proper exception")
class Test_signature_checking_hooks(TestCase):
def setUp(self):
from typecheck import register_type
flags = {'start': [], 'stop': []}
appender_reg = {}
def appender(flag, function):
if isinstance(function, types.GeneratorType):
if function.gi_frame is not None:
appender_reg[function] = function.gi_frame.f_code.co_name
flags[flag].append("gen_%s" % appender_reg[function])
else:
flags[flag].append(function.__name__)
class Test(object):
@classmethod
def __typesig__(cls, obj):
pass
# This is invoked when we start checking the function
@classmethod
def __startchecking__(cls, function):
appender('start', function)
@classmethod
def __switchchecking__(cls, from_func, to_func):
appender('stop', from_func)
appender('start', to_func)
# This is invoked when we stop checking the function
@classmethod
def __stopchecking__(cls, function):
appender('stop', function)
register_type(Test)
self.Test = Test
self.flags = flags
def tearDown(self):
from typecheck import is_registered_type, unregister_type
if is_registered_type(self.Test):
unregister_type(self.Test)
def __test_single(self, decorator):
@decorator(int)
def foo(a):
return a
assert foo(5) == 5
assert self.flags['start'] == ['foo']
assert self.flags['stop'] == ['foo']
def test_args(self):
from typecheck import accepts
self.__test_single(accepts)
def test_return(self):
from typecheck import returns
self.__test_single(returns)
def test_yield(self):
from typecheck import yields
@yields(int)
def foo(a):
yield a
gen = foo(5)
assert self.flags['start'] == ['foo', 'gen_foo']
assert self.flags['stop'] == ['foo']
assert gen.next() == 5
assert self.flags['start'] == ['foo' , 'gen_foo']
assert self.flags['stop'] == ['foo']
try:
gen.next()
except StopIteration:
assert self.flags['start'] == ['foo' , 'gen_foo']
assert self.flags['stop'] == ['foo', 'gen_foo']
else:
raise AssertionError("Failed to raise StopIteration at the right point")
def test_args_return(self):
from typecheck import returns, accepts
def test_double(dec_1, dec_2):
self.flags['start'] = []
self.flags['stop'] = []
@dec_1(int)
@dec_2(int)
def foo(a):
return a
assert foo(5) == 5
assert self.flags['start'] == ['foo']
assert self.flags['stop'] == ['foo']
test_double(returns, accepts)
test_double(accepts, returns)
def test_args_yield(self):
from typecheck import yields, accepts
def test_double(dec_1, dec_2):
self.flags['start'] = []
self.flags['stop'] = []
@dec_1(int)
@dec_2(int)
def foo(a):
yield a
gen = foo(5)
assert self.flags['start'] == ['foo', 'gen_foo']
assert self.flags['stop'] == ['foo']
assert gen.next() == 5
assert self.flags['start'] == ['foo', 'gen_foo']
assert self.flags['stop'] == ['foo']
try:
gen.next()
except StopIteration:
assert self.flags['start'] == ['foo', 'gen_foo']
assert self.flags['stop'] == ['foo', 'gen_foo']
else:
raise AssertionError("Failed to raise StopIteration at the right point")
test_double(yields, accepts)
test_double(accepts, yields)
def test_handles_exceptions_return(self):
from typecheck import returns, accepts
def test_double(dec_1, dec_2):
self.flags['start'] = []
self.flags['stop'] = []
@dec_1(int)
@dec_2(int)
def foo(a):
raise RuntimeError()
try:
assert foo(5) == 5
except RuntimeError:
pass
else:
raise AssertionError("Failed to allow RuntimeError through")
assert self.flags['start'] == ['foo']
assert self.flags['stop'] == ['foo']
test_double(returns, accepts)
test_double(accepts, returns)
def test_handles_exceptions_yield(self):
from typecheck import yields, accepts
def test_double(dec_1, dec_2):
self.flags['start'] = []
self.flags['stop'] = []
@dec_1(int)
@dec_2(int)
def foo(a):
yield a
raise RuntimeError()
gen = foo(5)
assert self.flags['start'] == ['foo', 'gen_foo']
assert self.flags['stop'] == ['foo']
assert gen.next() == 5
assert self.flags['start'] == ['foo', 'gen_foo']
assert self.flags['stop'] == ['foo']
try:
gen.next()
except RuntimeError:
# Note that gen_foo hasn't stopped checking yet
assert self.flags['start'] == ['foo', 'gen_foo']
assert self.flags['stop'] == ['foo']
else:
raise AssertionError("Failed to raise RuntimeError at the right point")
try:
gen.next()
except StopIteration:
assert self.flags['start'] == ['foo', 'gen_foo']
assert self.flags['stop'] == ['foo', 'gen_foo']
else:
raise AssertionError("Failed to raise StopIteration at the right point")
test_double(yields, accepts)
test_double(accepts, yields)
def test_nested_functions(self):
from typecheck import returns, accepts
def test_double(dec_1, dec_2):
self.flags['start'] = []
self.flags['stop'] = []
@dec_1(int)
@dec_2(int)
def bar(a):
return a
@dec_1(int)
@dec_2(int)
def foo(a):
return bar(a)
assert foo(5) == 5
assert self.flags['start'] == ['foo', 'bar']
assert self.flags['stop'] == ['bar', 'foo']
test_double(returns, accepts)
test_double(accepts, returns)
def test_nested_functions_with_exceptions(self):
from typecheck import returns, accepts
def test_double(dec_1, dec_2):
self.flags['start'] = []
self.flags['stop'] = []
@dec_1(int)
@dec_2(int)
def bar(a):
raise RuntimeError()
@dec_1(int)
@dec_2(int)
def foo(a):
return bar(a)
assert foo(5) == 5
for dec_1, dec_2 in ((returns, accepts),
(accepts, returns)):
try:
test_double(dec_1, dec_2)
except RuntimeError:
assert self.flags['start'] == ['foo', 'bar']
assert self.flags['stop'] == ['bar', 'foo']
else:
raise AssertionError("Failed to raise the proper exception")
def test_incorrect_generator_usage(self):
from typecheck import yields
@yields(int)
def foo():
yield 5
def contain_scope():
assert foo().next() == 5
for i in range(1, 3):
contain_scope()
assert self.flags['start'] == ['foo', 'gen_foo'] * i
assert self.flags['stop'] == ['foo', 'gen_foo'] * i
# We inherit everything else from Test_signature_checking_hooks
class Test_hooks_ignore_enable_checking(Test_signature_checking_hooks):
def setUp(self):
Test_signature_checking_hooks.setUp(self)
typecheck.enable_checking = False
def tearDown(self):
Test_signature_checking_hooks.tearDown(self)
typecheck.enable_checking = True
class TestDocStrings(TestCase):
def test_typechecked_docstrings(self):
import doctest
import doctests
finder = doctest.DocTestFinder(verbose=True)
tests = finder.find(doctests)
self.assertEquals(3, len(tests))
runner = doctest.DocTestRunner(doctest.OutputChecker())
for test in tests:
runner.run(test)
self.assertEquals(7, runner.summarize()[1])
self.assertEquals(0, runner.summarize()[0])
| 32.341792 | 183 | 0.555226 | 7,658 | 62,452 | 4.376208 | 0.04035 | 0.040014 | 0.081073 | 0.070003 | 0.878405 | 0.854445 | 0.813595 | 0.788321 | 0.758989 | 0.738848 | 0 | 0.021561 | 0.330862 | 62,452 | 1,930 | 184 | 32.358549 | 0.780397 | 0.018911 | 0 | 0.758597 | 0 | 0.010115 | 0.091035 | 0 | 0 | 0 | 0 | 0 | 0.308833 | 0 | null | null | 0.020904 | 0.100472 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
33db929b74c069df64b7e1d3563b1d67223ea772 | 68,600 | py | Python | benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_pinned/cmp_h264ref/power.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_pinned/cmp_h264ref/power.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_pinned/cmp_h264ref/power.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
'Subthreshold Leakage': 0.0691322,
'Subthreshold Leakage with power gating': 0.0259246},
'Core': [{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 7.84093e-05,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.20275,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.000513597,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.122718,
'Execution Unit/Instruction Scheduler/Area': 2.17927,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.664923,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.15141,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.660364,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.47669,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.657171,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 6.19078,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 9.70296e-05,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.024104,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.174328,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.178264,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.174425,
'Execution Unit/Register Files/Runtime Dynamic': 0.202368,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.42127,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.3277,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155,
'Execution Unit/Runtime Dynamic': 4.61489,
'Execution Unit/Subthreshold Leakage': 1.83518,
'Execution Unit/Subthreshold Leakage with power gating': 0.709678,
'Gate Leakage': 0.372997,
'Instruction Fetch Unit/Area': 5.86007,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00258275,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00258275,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00224289,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000864606,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00256077,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00996915,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0250018,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.171369,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.47111,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.582047,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96874,
'Instruction Fetch Unit/Runtime Dynamic': 1.2595,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0314366,
'L2/Runtime Dynamic': 0.0103903,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 7.61558,
'Load Store Unit/Data Cache/Runtime Dynamic': 3.07729,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.206358,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.206358,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 8.59401,
'Load Store Unit/Runtime Dynamic': 4.30134,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.508844,
'Load Store Unit/StoreQ/Runtime Dynamic': 1.01769,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
'Memory Management Unit/Area': 0.434579,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.180591,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.181021,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.399995,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0773544,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.8707,
'Memory Management Unit/Runtime Dynamic': 0.258375,
'Memory Management Unit/Subthreshold Leakage': 0.0769113,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462,
'Peak Dynamic': 29.2174,
'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000339187,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925,
'Renaming Unit/Free List/Area': 0.0414755,
'Renaming Unit/Free List/Gate Leakage': 4.15911e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0401324,
'Renaming Unit/Free List/Runtime Dynamic': 0.0340045,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987,
'Renaming Unit/Gate Leakage': 0.00863632,
'Renaming Unit/Int Front End RAT/Area': 0.114751,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.359798,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781,
'Renaming Unit/Peak Dynamic': 4.56169,
'Renaming Unit/Runtime Dynamic': 0.394142,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 10.8386,
'Subthreshold Leakage': 6.21877,
'Subthreshold Leakage with power gating': 2.58311},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 4.62898e-05,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202725,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.000306134,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.357248,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.576228,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.290861,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.22434,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.408543,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.62308,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 5.78354e-05,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0149846,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.108373,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.11082,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.108431,
'Execution Unit/Register Files/Runtime Dynamic': 0.125805,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.228323,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.717233,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 2.67548,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00172773,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00172773,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00152608,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000602386,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00159194,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00657348,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0158065,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.106534,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.291403,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.361839,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96396,
'Instruction Fetch Unit/Runtime Dynamic': 0.782156,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0191765,
'L2/Runtime Dynamic': 0.00635795,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 5.16026,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.89266,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.126923,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.126923,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 5.75962,
'Load Store Unit/Runtime Dynamic': 2.64553,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.312971,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.625941,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.111074,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.111337,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.399995,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0478454,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.74691,
'Memory Management Unit/Runtime Dynamic': 0.159182,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 23.7022,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000151961,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0161199,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.188617,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.204888,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 6.47359,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 4.62898e-05,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202725,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.000306134,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.357853,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.577204,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.291353,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.22641,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.409234,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.62443,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 5.78354e-05,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.01501,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.108556,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.111008,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.108614,
'Execution Unit/Register Files/Runtime Dynamic': 0.126018,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.228709,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.718352,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 2.67888,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00173198,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00173198,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.0015298,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000603829,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00159464,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00658839,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.015847,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.106715,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.292076,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.362451,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96396,
'Instruction Fetch Unit/Runtime Dynamic': 0.783677,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0192223,
'L2/Runtime Dynamic': 0.00636091,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 5.16592,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.89538,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.127106,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.127106,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 5.76614,
'Load Store Unit/Runtime Dynamic': 2.64933,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.313422,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.626844,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.111234,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.111498,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.399995,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0479561,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.747185,
'Memory Management Unit/Runtime Dynamic': 0.159454,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 23.7104,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000152242,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0161472,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.188932,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.205232,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 6.48294,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 4.62898e-05,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202725,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.000306134,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.35749,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.576618,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.291058,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.22517,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.40882,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.62362,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 5.78354e-05,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0149947,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.108446,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.110895,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.108504,
'Execution Unit/Register Files/Runtime Dynamic': 0.12589,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.228478,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.71769,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 2.67685,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00172926,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00172926,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00152742,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000602905,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00159302,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00657896,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0158212,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.106607,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.291658,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.362084,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96396,
'Instruction Fetch Unit/Runtime Dynamic': 0.782748,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0191918,
'L2/Runtime Dynamic': 0.00635756,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 5.16259,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.89378,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.126998,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.126998,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 5.76231,
'Load Store Unit/Runtime Dynamic': 2.64709,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.313156,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.626313,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.11114,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.111403,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.399995,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0478873,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.747023,
'Memory Management Unit/Runtime Dynamic': 0.159291,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 23.7056,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000152046,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0161308,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.188743,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.205026,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 6.47736,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 1.5186381047674296,
'Runtime Dynamic': 1.5186381047674296,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.114824,
'Runtime Dynamic': 0.0707952,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
'Gate Leakage': 1.53485,
'Peak Dynamic': 100.45,
'Peak Power': 133.563,
'Runtime Dynamic': 30.3433,
'Subthreshold Leakage': 31.5774,
'Subthreshold Leakage with power gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 100.336,
'Total Cores/Runtime Dynamic': 30.2725,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.114824,
'Total L3s/Runtime Dynamic': 0.0707952,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}} | 75.054705 | 124 | 0.681924 | 8,090 | 68,600 | 5.776514 | 0.065389 | 0.123598 | 0.112985 | 0.093469 | 0.943401 | 0.934798 | 0.923693 | 0.898849 | 0.877728 | 0.858555 | 0 | 0.1315 | 0.224359 | 68,600 | 914 | 125 | 75.054705 | 0.746772 | 0 | 0 | 0.667396 | 0 | 0 | 0.657498 | 0.048104 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
33e2f030cce2d6d17ca36dd1fbc70db246927ef6 | 187 | py | Python | spiketag/fpga/__init__.py | aliddell/spiketag | f5600126c2c6c9be319e8b808d51ea33be843909 | [
"BSD-3-Clause"
] | null | null | null | spiketag/fpga/__init__.py | aliddell/spiketag | f5600126c2c6c9be319e8b808d51ea33be843909 | [
"BSD-3-Clause"
] | null | null | null | spiketag/fpga/__init__.py | aliddell/spiketag | f5600126c2c6c9be319e8b808d51ea33be843909 | [
"BSD-3-Clause"
] | null | null | null | from .bram_thres import threshold
from .bram_thres import offset
from .bram_thres import channel_hash
from .memory_api import *
from .configFPGA import xike_config
from .run import run
| 23.375 | 37 | 0.823529 | 29 | 187 | 5.103448 | 0.482759 | 0.162162 | 0.263514 | 0.385135 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.139037 | 187 | 7 | 38 | 26.714286 | 0.919255 | 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 |
1d270f2c1a96ef4619ef33bf9ea4f0fcb36d55a8 | 144 | py | Python | earthworm/__init__.py | shubhamt619/earthworm | 6459cc96731b54ff7844fc60a68331410f4b999b | [
"MIT"
] | 1 | 2019-09-09T06:58:45.000Z | 2019-09-09T06:58:45.000Z | earthworm/__init__.py | shubhamt619/earthworm | 6459cc96731b54ff7844fc60a68331410f4b999b | [
"MIT"
] | null | null | null | earthworm/__init__.py | shubhamt619/earthworm | 6459cc96731b54ff7844fc60a68331410f4b999b | [
"MIT"
] | null | null | null | from .hello import * #importing from a file (It will be used as a module)
from .hi import * #importing from a file (It will be used as a module) | 72 | 73 | 0.729167 | 28 | 144 | 3.75 | 0.464286 | 0.285714 | 0.361905 | 0.380952 | 0.857143 | 0.857143 | 0.857143 | 0.857143 | 0.857143 | 0.857143 | 0 | 0 | 0.201389 | 144 | 2 | 74 | 72 | 0.913043 | 0.708333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 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 | 14 |
1d4315b7f083e36284e174e8921d7f77139927c7 | 23,640 | py | Python | membership/tests/tests_invitation_api.py | 810Teams/clubs-and-events-backend | cf429f43251ad7e77c0d9bc9fe91bb030ca8bae8 | [
"MIT"
] | 1 | 2021-06-25T17:16:13.000Z | 2021-06-25T17:16:13.000Z | membership/tests/tests_invitation_api.py | 810Teams/clubs-and-events-backend | cf429f43251ad7e77c0d9bc9fe91bb030ca8bae8 | [
"MIT"
] | null | null | null | membership/tests/tests_invitation_api.py | 810Teams/clubs-and-events-backend | cf429f43251ad7e77c0d9bc9fe91bb030ca8bae8 | [
"MIT"
] | null | null | null | '''
Membership Application's Invitation API Test
membership/tests/tests_invitation_api.py
@author Teerapat Kraisrisirikul (810Teams)
'''
from django.contrib.auth import get_user_model
from rest_framework import status
from rest_framework.test import APITestCase
from community.models import Club, Event, Lab, CommunityEvent
from membership.models import Membership, Invitation
import datetime
class InvitationAPITest(APITestCase):
''' Invitation API test '''
def setUp(self):
self.user_01 = get_user_model().objects.create_user(username='user_01', password='12345678', name='User One')
self.user_02 = get_user_model().objects.create_user(username='user_02', password='12345678', name='User Two')
self.user_03 = get_user_model().objects.create_user(username='user_03', password='12345678', name='User Three')
self.user_04 = get_user_model().objects.create_user(username='user_04', password='12345678', name='User Four')
self.user_05 = get_user_model().objects.create_user(username='user_05', password='12345678', name='User Five')
self.user_06 = get_user_model().objects.create_user(username='user_06', password='12345678', name='User Six')
self.user_07 = get_user_model().objects.create_user(username='user_07', password='12345678', name='User Seven')
self.lecturer = get_user_model().objects.create_user(
username='lecturer', password='12345678', name='Prof.Lazy Bones', user_group='lecturer'
)
self.support_staff = get_user_model().objects.create_user(
username='support', password='12345678', name='Mr.Supporter', user_group='support'
)
self.club = Club.objects.create(name_th='ชุมนุมทดสอบคำเชิญ', name_en='Invitation Testing Club')
self.event = Event.objects.create(
name_th='กิจกรรมทดสอบคำเชิญ',
name_en='Invitation Testing Event',
is_approved=True,
location='L207 IT KMITL',
start_date=datetime.date(2020, 12, 1),
end_date=datetime.date(2020, 12, 2),
start_time=datetime.time(9, 0, 0),
end_time=datetime.time(17, 0, 0)
)
self.lab = Lab.objects.create(name_th='ห้องปฏิบัติการทดสอบคำเชิญ', name_en='Invitation Testing Lab')
self.community_event_allows_outside = CommunityEvent.objects.create(
name_th='กิจกรรมชุมนุมทดสอบคำเชิญ',
name_en='Invitation Testing Club Event',
is_approved=True,
location='L207 IT KMITL',
start_date=datetime.date(2020, 12, 1),
end_date=datetime.date(2020, 12, 2),
start_time=datetime.time(9, 0, 0),
end_time=datetime.time(17, 0, 0),
created_under_id=self.club.id,
allows_outside_participators=True
)
self.community_event_disallows_outside = CommunityEvent.objects.create(
name_th='กิจกรรมห้องปฏิบัติการทดสอบคำเชิญ',
name_en='Invitation Testing Lab Event',
is_approved=True,
location='L207 IT KMITL',
start_date=datetime.date(2020, 12, 1),
end_date=datetime.date(2020, 12, 2),
start_time=datetime.time(9, 0, 0),
end_time=datetime.time(17, 0, 0),
created_under_id=self.club.id,
allows_outside_participators=False
)
Membership.objects.create(community_id=self.club.id, user_id=self.user_01.id, position=3)
Membership.objects.create(community_id=self.club.id, user_id=self.user_02.id, position=2)
Membership.objects.create(community_id=self.club.id, user_id=self.user_03.id, position=1)
Membership.objects.create(community_id=self.club.id, user_id=self.user_04.id, position=0)
Membership.objects.create(community_id=self.event.id, user_id=self.user_01.id, position=3)
Membership.objects.create(community_id=self.lab.id, user_id=self.user_01.id, position=3)
Membership.objects.create(
community_id=self.community_event_allows_outside.id, user_id=self.user_01.id, position=3
)
Membership.objects.create(
community_id=self.community_event_disallows_outside.id, user_id=self.user_01.id, position=3
)
def test_retrieve_invitation_as_member(self):
''' Test retrieve invitation as different member positions '''
invitation = Invitation.objects.create(
invitor_id=self.user_01.id, invitee_id=self.user_05.id, community_id=self.club.id
)
# Access invitation as leader position
self.client.login(username='user_01', password='12345678')
response = self.client.get('/api/membership/invitation/{}/'.format(invitation.id))
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.client.logout()
# Access invitation as deputy leader position
self.client.login(username='user_02', password='12345678')
response = self.client.get('/api/membership/invitation/{}/'.format(invitation.id))
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.client.logout()
# Access invitation as staff position
self.client.login(username='user_03', password='12345678')
response = self.client.get('/api/membership/invitation/{}/'.format(invitation.id))
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.client.logout()
# Access invitation as member position
self.client.login(username='user_04', password='12345678')
response = self.client.get('/api/membership/invitation/{}/'.format(invitation.id))
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.client.logout()
def test_retrieve_invitation_as_receiver(self):
''' Test retrieve invitation as receiver and non-receiver '''
invitation = Invitation.objects.create(
invitor_id=self.user_01.id, invitee_id=self.user_05.id, community_id=self.club.id
)
# Access invitation as receiver
self.client.login(username='user_05', password='12345678')
response = self.client.get('/api/membership/invitation/{}/'.format(invitation.id))
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.client.logout()
# Access invitation as someone else being both non-member and not invitation sender
self.client.login(username='user_06', password='12345678')
response = self.client.get('/api/membership/invitation/{}/'.format(invitation.id))
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.client.logout()
def test_send_invitation_to_non_member(self):
''' Test send invitation to user which is not a member '''
self.client.login(username='user_01', password='12345678')
response = self.client.post('/api/membership/invitation/', {
'invitee': self.user_05.id,
'community': self.club.id
})
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.client.logout()
def test_send_invitation_to_left_member(self):
''' Test send invitation to user which has already left the community '''
self.client.login(username='user_01', password='12345678')
Membership.objects.create(user_id=self.user_06.id, community_id=self.club.id, status='L')
response = self.client.post('/api/membership/invitation/', {
'invitee': self.user_06.id,
'community': self.club.id
})
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.client.logout()
def test_send_invitation_to_removed_member(self):
''' Test send invitation to user which has been removed from the community '''
self.client.login(username='user_01', password='12345678')
Membership.objects.create(user_id=self.user_07.id, community_id=self.club.id, status='X')
response = self.client.post('/api/membership/invitation/', {
'invitee': self.user_07.id,
'community': self.club.id
})
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.client.logout()
def test_send_invitation_to_active_member(self):
''' Test send invitation to user which is already a member '''
self.client.login(username='user_01', password='12345678')
response = self.client.post('/api/membership/invitation/', {
'invitee': self.user_04.id,
'community': self.club.id
})
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.client.logout()
def test_send_invitation_to_retired_member(self):
''' Test send invitation to user which has already retired '''
self.client.login(username='user_01', password='12345678')
Membership.objects.create(user_id=self.user_05.id, community_id=self.club.id, status='R')
response = self.client.post('/api/membership/invitation/', {
'invitee': self.user_05.id,
'community': self.club.id
})
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.client.logout()
def test_send_invitation_to_non_base_member(self):
''' Test send invitation to non-members of base community '''
self.client.login(username='user_01', password='12345678')
response = self.client.post('/api/membership/invitation/', {
'invitee': self.user_05.id,
'community': self.community_event_allows_outside.id
})
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
response = self.client.post('/api/membership/invitation/', {
'invitee': self.user_05.id,
'community': self.community_event_disallows_outside.id
})
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.client.logout()
def test_send_invitation_duplicate(self):
''' Test send duplicate invitation '''
self.client.login(username='user_01', password='12345678')
Invitation.objects.create(invitor_id=self.user_01.id, invitee_id=self.user_05.id, community_id=self.club.id)
response = self.client.post('/api/membership/invitation/', {
'invitee': self.user_05.id,
'community': self.club.id
})
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.client.logout()
def test_send_invitation_to_student(self):
''' Test send invitation to student '''
self._test_send_invitation_to(
'user_05', club=True, event=True, lab=True,
community_event_allows_outside=True, community_event_disallows_outside=False
)
def test_send_invitation_to_lecturer(self):
''' Test send invitation to lecturer '''
self._test_send_invitation_to(
'lecturer', club=False, event=True, lab=True,
community_event_allows_outside=True, community_event_disallows_outside=False
)
def test_send_invitation_to_support(self):
''' Test send invitation to support staff '''
self._test_send_invitation_to(
'support', club=False, event=True, lab=False,
community_event_allows_outside=True, community_event_disallows_outside=False
)
def _test_send_invitation_to(self, username, club=True, event=True, lab=True, community_event_allows_outside=True,
community_event_disallows_outside=False):
''' Test send invitation to different user groups '''
self.client.login(username='user_01', password='12345678')
invitee = get_user_model().objects.get(username=username)
# Invitation from club
self.client.post('/api/membership/invitation/', {
'invitee': invitee.id,
'community': self.club.id
})
self.assertEqual(len(Invitation.objects.filter(invitee_id=invitee.id, community_id=self.club.id)), int(club))
# Invitation from event
self.client.post('/api/membership/invitation/', {
'invitee': invitee.id,
'community': self.event.id
})
self.assertEqual(len(Invitation.objects.filter(invitee_id=invitee.id, community_id=self.event.id)), int(event))
# Invitation from lab
self.client.post('/api/membership/invitation/', {
'invitee': invitee.id,
'community': self.lab.id
})
self.assertEqual(len(Invitation.objects.filter(invitee_id=invitee.id, community_id=self.lab.id)), int(lab))
# Invitation from community event that allows outside participators
self.client.post('/api/membership/invitation/', {
'invitee': invitee.id,
'community': self.community_event_allows_outside.id
})
self.assertEqual(
len(Invitation.objects.filter(invitee_id=invitee.id, community_id=self.community_event_allows_outside.id)),
int(community_event_allows_outside)
)
# Invitation from community event that does not allow outside participators
self.client.post('/api/membership/invitation/', {
'invitee': invitee.id,
'community': self.community_event_disallows_outside.id
})
self.assertEqual(
len(Invitation.objects.filter(
invitee_id=invitee.id, community_id=self.community_event_disallows_outside.id)
),
int(community_event_disallows_outside)
)
self.client.logout()
def test_send_invitation_as_leader(self):
''' Test send invitation as leader '''
self._test_send_invitation_as('user_01', allows_sending=True)
def test_send_invitation_as_deputy_leader(self):
''' Test send invitation as leader '''
self._test_send_invitation_as('user_02', allows_sending=True)
def test_send_invitation_as_staff(self):
''' Test send invitation as leader '''
self._test_send_invitation_as('user_03', allows_sending=True)
def test_send_invitation_as_member(self):
''' Test send invitation as leader '''
self._test_send_invitation_as('user_04', allows_sending=False)
def test_send_invitation_as_non_member(self):
''' Test send invitation as leader '''
self._test_send_invitation_as('user_05', allows_sending=False)
def _test_send_invitation_as(self, username, allows_sending=True):
''' Test send invitation as different membership positions '''
self.client.login(username=username, password='12345678')
response = self.client.post('/api/membership/invitation/', {
'invitee': self.user_06.id,
'community': self.club.id
})
if allows_sending:
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertEqual(len(Invitation.objects.filter(invitee_id=self.user_06.id, community_id=self.club.id)), 1)
else:
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertEqual(len(Invitation.objects.filter(invitee_id=self.user_06.id, community_id=self.club.id)), 0)
self.client.logout()
def test_accept_invitation_own(self):
''' Test accept own invitation '''
self.client.login(username='user_05', password='12345678')
invitation = Invitation.objects.create(
invitor_id=self.user_01.id, invitee_id=self.user_05.id, community_id=self.club.id
)
response = self.client.patch('/api/membership/invitation/{}/'.format(invitation.id), {
'status': 'A'
})
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(Invitation.objects.get(id=invitation.id).status, 'A')
self.assertEqual(len(Membership.objects.filter(user_id=self.user_05.id, community_id=self.club.id)), 1)
self.client.logout()
def test_decline_invitation_own(self):
''' Test decline own invitation '''
self.client.login(username='user_05', password='12345678')
invitation = Invitation.objects.create(
invitor_id=self.user_01.id, invitee_id=self.user_05.id, community_id=self.club.id
)
response = self.client.patch('/api/membership/invitation/{}/'.format(invitation.id), {
'status': 'D'
})
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(len(Membership.objects.filter(user_id=self.user_05.id, community_id=self.club.id)), 0)
self.client.logout()
def test_accept_invitation_other(self):
''' Test accept own invitation '''
self.client.login(username='user_05', password='12345678')
invitation = Invitation.objects.create(
invitor_id=self.user_01.id, invitee_id=self.user_06.id, community_id=self.club.id
)
response = self.client.patch('/api/membership/invitation/{}/'.format(invitation.id), {
'status': 'A'
})
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(len(Membership.objects.filter(user_id=self.user_05.id, community_id=self.club.id)), 0)
self.client.logout()
def test_decline_invitation_other(self):
''' Test decline own invitation '''
self.client.login(username='user_05', password='12345678')
invitation = Invitation.objects.create(
invitor_id=self.user_01.id, invitee_id=self.user_06.id, community_id=self.club.id
)
response = self.client.patch('/api/membership/invitation/{}/'.format(invitation.id), {
'status': 'D'
})
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(len(Membership.objects.filter(user_id=self.user_05.id, community_id=self.club.id)), 0)
self.client.logout()
def test_respond_invitation_already_accepted(self):
''' Test respond to invitation that is already accepted '''
self.client.login(username='user_05', password='12345678')
invitation = Invitation.objects.create(invitee_id=self.user_05.id, community_id=self.club.id, status='A')
response = self.client.patch('/api/membership/invitation/{}/'.format(invitation.id), {
'status': 'W'
})
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(Invitation.objects.get(pk=invitation.id).status, 'A')
response = self.client.patch('/api/membership/invitation/{}/'.format(invitation.id), {
'status': 'A'
})
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(Invitation.objects.get(pk=invitation.id).status, 'A')
response = self.client.patch('/api/membership/invitation/{}/'.format(invitation.id), {
'status': 'D'
})
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(Invitation.objects.get(pk=invitation.id).status, 'A')
self.client.logout()
def test_respond_invitation_already_declined(self):
''' Test respond to invitation that is already accepted '''
self.client.login(username='user_05', password='12345678')
invitation = Invitation.objects.create(invitee_id=self.user_05.id, community_id=self.club.id, status='D')
response = self.client.patch('/api/membership/invitation/{}/'.format(invitation.id), {
'status': 'W'
})
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(Invitation.objects.get(pk=invitation.id).status, 'D')
response = self.client.patch('/api/membership/invitation/{}/'.format(invitation.id), {
'status': 'A'
})
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(Invitation.objects.get(pk=invitation.id).status, 'D')
response = self.client.patch('/api/membership/invitation/{}/'.format(invitation.id), {
'status': 'D'
})
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(Invitation.objects.get(pk=invitation.id).status, 'D')
self.client.logout()
def test_respond_invitation_renew_membership(self):
''' Test respond to invitation that renews membership '''
self.client.login(username='user_05', password='12345678')
membership = Membership.objects.create(user_id=self.user_05.id, community_id=self.club.id, status='L')
invitation = Invitation.objects.create(invitee_id=self.user_05.id, community_id=self.club.id)
response = self.client.patch('/api/membership/invitation/{}/'.format(invitation.id), {
'status': 'A'
})
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(Membership.objects.get(pk=membership.id).status, 'A')
self.assertEqual(len(Membership.objects.filter(user_id=self.user_05.id, community_id=self.club.id)), 1)
self.client.logout()
def test_cancel_own_invitation(self):
''' Test cancel own invitation '''
self.client.login(username='user_03', password='12345678')
invitation = Invitation.objects.create(
invitor_id=self.user_03.id, invitee_id=self.user_06.id, community_id=self.club.id
)
response = self.client.delete('/api/membership/invitation/{}/'.format(invitation.id))
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
self.assertEqual(len(Invitation.objects.filter(invitee_id=self.user_06.id, community_id=self.club.id)), 0)
self.client.logout()
def test_cancel_invitation_as_leader(self):
''' Test cancel invitation as leader '''
self._test_cancel_invitation_as('user_01', allows_cancel=True)
def test_cancel_invitation_as_deputy_leader(self):
''' Test cancel invitation as deputy leader '''
self._test_cancel_invitation_as('user_02', allows_cancel=True)
def test_cancel_invitation_as_staff(self):
''' Test cancel invitation as staff '''
self._test_cancel_invitation_as('user_03', allows_cancel=False)
def test_cancel_invitation_as_member(self):
''' Test cancel invitation as member '''
self._test_cancel_invitation_as('user_04', allows_cancel=False)
def test_cancel_invitation_as_non_member(self):
''' Test cancel invitation as leader '''
self._test_cancel_invitation_as('user_05', allows_cancel=False)
def _test_cancel_invitation_as(self, username, allows_cancel=True):
''' Test cancel invitation as different membership positions '''
self.client.login(username=username, password='12345678')
invitation = Invitation.objects.create(
invitor_id=None, invitee_id=self.user_06.id, community_id=self.club.id
)
response = self.client.delete('/api/membership/invitation/{}/'.format(invitation.id))
if allows_cancel:
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
self.assertEqual(len(Invitation.objects.filter(invitee_id=self.user_06.id, community_id=self.club.id)), 0)
else:
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(len(Invitation.objects.filter(invitee_id=self.user_06.id, community_id=self.club.id)), 1)
self.client.logout()
| 46.171875 | 119 | 0.672843 | 2,944 | 23,640 | 5.202106 | 0.067595 | 0.040353 | 0.027424 | 0.025857 | 0.903363 | 0.863859 | 0.845119 | 0.827359 | 0.752726 | 0.741365 | 0 | 0.034211 | 0.204949 | 23,640 | 511 | 120 | 46.262231 | 0.779303 | 0.085575 | 0 | 0.622283 | 0 | 0 | 0.103914 | 0.048122 | 0 | 0 | 0 | 0 | 0.144022 | 1 | 0.092391 | false | 0.089674 | 0.016304 | 0 | 0.111413 | 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 |
1d533c04dd33f70df222a8b4a78c4ecdda08d7bb | 749 | py | Python | scripts/5d_gen_xlsx_report.py | co-demos/ODAMAP-temp | 2ca11d8990930f7435abbf208c1552fa7e77bad5 | [
"MIT"
] | null | null | null | scripts/5d_gen_xlsx_report.py | co-demos/ODAMAP-temp | 2ca11d8990930f7435abbf208c1552fa7e77bad5 | [
"MIT"
] | 1 | 2021-05-11T14:43:12.000Z | 2021-05-11T14:43:12.000Z | scripts/5d_gen_xlsx_report.py | co-demos/ODAMAP-temp | 2ca11d8990930f7435abbf208c1552fa7e77bad5 | [
"MIT"
] | null | null | null | import pandas as pd
read_file = pd.read_csv ("../published-data/reports-echeances-regional-naf-latest.csv",dtype={'dispositif':str,'nombre_reports':float,'montant_total':float,'reg':str,'libelle_region':str,'code_section':str,'libelle_section':str})
read_file.to_excel ('../published-data/reports-echeances-regional-naf-latest.xlsx', index = None, header=True)
read_file = pd.read_csv ("../published-data/reports-echeances-departemental-naf-latest.csv",dtype={'dispositif':str,'nombre_reports':float,'montant_total':float,'reg':str,'libelle_region':str,'dep':str,'libelle_departement':str,'code_section':str,'libelle_section':str})
read_file.to_excel ('../published-data/reports-echeances-departemental-naf-latest.xlsx', index = None, header=True) | 107 | 270 | 0.779706 | 107 | 749 | 5.280374 | 0.336449 | 0.088496 | 0.141593 | 0.20531 | 0.929204 | 0.929204 | 0.929204 | 0.741593 | 0.741593 | 0.578761 | 0 | 0 | 0.033378 | 749 | 7 | 271 | 107 | 0.780387 | 0 | 0 | 0 | 0 | 0 | 0.576 | 0.330667 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
1d5cb301076b03922296154f53f6bf57ad1eb3d1 | 17,218 | py | Python | core/domain/feedback_jobs_one_off_test.py | kiranmayee-dobbali/oppia | 135742d147eedba66f2bd3925ea037e614f7e0fe | [
"Apache-2.0"
] | 1 | 2020-09-30T17:55:05.000Z | 2020-09-30T17:55:05.000Z | core/domain/feedback_jobs_one_off_test.py | gitter-badger/oppia | 7d8e659264582d7ce74bc6c139e597b82bca0e04 | [
"Apache-2.0"
] | null | null | null | core/domain/feedback_jobs_one_off_test.py | gitter-badger/oppia | 7d8e659264582d7ce74bc6c139e597b82bca0e04 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The Oppia Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS-IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for Feedback-related jobs."""
from __future__ import absolute_import # pylint: disable=import-only-modules
from __future__ import unicode_literals # pylint: disable=import-only-modules
import ast
from core.domain import feedback_jobs_one_off
from core.domain import feedback_services
from core.domain import taskqueue_services
from core.platform import models
from core.tests import test_utils
(feedback_models,) = models.Registry.import_models([models.NAMES.feedback])
class FeedbackThreadCacheOneOffJobTest(test_utils.GenericTestBase):
"""Tests for one-off job to populate the caches of FeedbackThreads."""
def setUp(self):
super(FeedbackThreadCacheOneOffJobTest, self).setUp()
self.signup(self.EDITOR_EMAIL, self.EDITOR_USERNAME)
self.editor_id = self.get_user_id_from_email(self.EDITOR_EMAIL)
def _run_one_off_job(self):
"""Runs the one-off job under test and returns its output."""
job_id = (
feedback_jobs_one_off.FeedbackThreadCacheOneOffJob.create_new())
feedback_jobs_one_off.FeedbackThreadCacheOneOffJob.enqueue(job_id)
self.assertEqual(
1,
self.count_jobs_in_mapreduce_taskqueue(
taskqueue_services.QUEUE_NAME_ONE_OFF_JOBS))
self.process_and_flush_pending_mapreduce_tasks()
self.assertEqual(
0,
self.count_jobs_in_mapreduce_taskqueue(
taskqueue_services.QUEUE_NAME_ONE_OFF_JOBS))
job_output = (
feedback_jobs_one_off.FeedbackThreadCacheOneOffJob.get_output(
job_id))
job_output_pairs = [ast.literal_eval(o) for o in job_output]
return [(key, int(val)) for key, val in job_output_pairs]
def _create_thread(self, author_id, text):
"""Helper wrapper for feedback_services.create_thread which only exposes
arguments relevant to the cache.
Args:
author_id: str|None. ID of the user which created this thread, or
None if the author was anonymous (not logged in).
text: str. Content of the first message in the thread (allowed to be
an empty string).
Returns:
str. The ID of the newly created thread.
"""
return feedback_services.create_thread(
'exploration', 'exp_id', author_id, 'subject', text)
def _create_message(self, thread_id, author_id, text):
"""Helper wrapper for feedback_services.create_message which only
exposes arguments relevant to the cache.
Args:
thread_id: str. ID of the thread to which this message should be
appened to.
author_id: str|None. ID of the user which created this message, or
None if the author was anonymous (not logged in).
text: str. Content of the first message in the thread (allowed to be
an empty string).
"""
feedback_services.create_message(thread_id, author_id, None, None, text)
def test_cache_update_to_thread_with_1_message(self):
thread_id = self._create_thread(self.editor_id, 'first text')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_text = None
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_text, 'first text')
def test_cache_update_to_thread_with_2_messages(self):
thread_id = self._create_thread(self.editor_id, 'first text')
self._create_message(thread_id, self.editor_id, 'second text')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_text = None
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_text, 'second text')
def test_cache_update_to_thread_with_1_empty_message(self):
thread_id = self._create_thread(self.editor_id, '')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_text = 'Non-empty'
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_text, None)
def test_cache_update_to_thread_with_2_empty_messages(self):
thread_id = self._create_thread(self.editor_id, '')
self._create_message(thread_id, self.editor_id, '')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_text = 'Non-empty'
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_text, None)
def test_cache_update_to_thread_with_empty_then_nonempty_messages(self):
thread_id = self._create_thread(self.editor_id, '')
self._create_message(thread_id, self.editor_id, 'first text')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_text = None
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_text, 'first text')
def test_cache_update_to_thread_with_nonempty_then_empty_messages(self):
thread_id = self._create_thread(self.editor_id, 'first text')
self._create_message(thread_id, self.editor_id, '')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_text = None
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_text, 'first text')
def test_cache_update_to_thread_with_1_user_message(self):
thread_id = self._create_thread(self.editor_id, 'first text')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_author_id = None
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_author_id, self.editor_id)
def test_cache_update_to_thread_with_2_user_messages(self):
thread_id = self._create_thread(self.editor_id, 'first text')
self._create_message(thread_id, self.editor_id, 'second text')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_author_id = None
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_author_id, self.editor_id)
def test_cache_update_to_thread_with_1_anon_message(self):
thread_id = self._create_thread(None, 'first text')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_author_id = self.editor_id
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertIsNone(model.last_nonempty_message_author_id)
def test_cache_update_to_thread_with_2_anon_messages(self):
thread_id = self._create_thread(None, 'first text')
self._create_message(thread_id, None, 'second text')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_author_id = self.editor_id
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertIsNone(model.last_nonempty_message_author_id)
def test_cache_update_to_thread_with_user_then_anon_messages(self):
thread_id = self._create_thread(self.editor_id, 'first text')
self._create_message(thread_id, None, 'second text')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_author_id = self.editor_id
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertIsNone(model.last_nonempty_message_author_id)
def test_cache_update_to_thread_with_anon_then_user_messages(self):
thread_id = self._create_thread(None, 'first text')
self._create_message(thread_id, self.editor_id, 'second text')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_author_id = None
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_author_id, self.editor_id)
def test_cache_update_to_thread_with_user_then_empty_messages(self):
thread_id = self._create_thread(self.editor_id, 'first text')
self._create_message(thread_id, None, '')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_author_id = None
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_author_id, self.editor_id)
def test_cache_update_to_thread_with_anon_then_empty_messages(self):
thread_id = self._create_thread(None, 'first text')
self._create_message(thread_id, self.editor_id, '')
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
model.last_nonempty_message_author_id = self.editor_id
model.put()
self.assertEqual(self._run_one_off_job(), [('Updated', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertIsNone(model.last_nonempty_message_author_id)
def test_no_cache_update_to_thread_with_1_message(self):
thread_id = self._create_thread(self.editor_id, 'first text')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_text, 'first text')
def test_no_cache_update_to_thread_with_2_messages(self):
thread_id = self._create_thread(self.editor_id, 'first text')
self._create_message(thread_id, self.editor_id, 'second text')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_text, 'second text')
def test_no_cache_update_to_thread_with_1_empty_message(self):
thread_id = self._create_thread(self.editor_id, '')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_text, None)
def test_no_cache_update_to_thread_with_2_empty_messages(self):
thread_id = self._create_thread(self.editor_id, '')
self._create_message(thread_id, self.editor_id, '')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_text, None)
def test_no_cache_update_to_thread_with_empty_then_nonempty_messages(self):
thread_id = self._create_thread(self.editor_id, '')
self._create_message(thread_id, self.editor_id, 'first text')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_text, 'first text')
def test_no_cache_update_to_thread_with_nonempty_then_empty_messages(self):
thread_id = self._create_thread(self.editor_id, 'first text')
self._create_message(thread_id, self.editor_id, '')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_text, 'first text')
def test_no_cache_update_to_thread_with_1_user_message(self):
thread_id = self._create_thread(self.editor_id, 'first text')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_author_id, self.editor_id)
def test_no_cache_update_to_thread_with_2_user_messages(self):
thread_id = self._create_thread(self.editor_id, 'first text')
self._create_message(thread_id, self.editor_id, 'second text')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_author_id, self.editor_id)
def test_no_cache_update_to_thread_with_1_anon_message(self):
thread_id = self._create_thread(None, 'first text')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertIsNone(model.last_nonempty_message_author_id)
def test_no_cache_update_to_thread_with_2_anon_messages(self):
thread_id = self._create_thread(None, 'first text')
self._create_message(thread_id, None, 'second text')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertIsNone(model.last_nonempty_message_author_id)
def test_no_cache_update_to_thread_with_user_then_anon_messages(self):
thread_id = self._create_thread(self.editor_id, 'first text')
self._create_message(thread_id, None, 'second text')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertIsNone(model.last_nonempty_message_author_id)
def test_no_cache_update_to_thread_with_anon_then_user_messages(self):
thread_id = self._create_thread(None, 'first text')
self._create_message(thread_id, self.editor_id, 'second text')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_author_id, self.editor_id)
def test_no_cache_update_to_thread_with_user_then_empty_messages(self):
thread_id = self._create_thread(self.editor_id, 'first text')
self._create_message(thread_id, None, '')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertEqual(model.last_nonempty_message_author_id, self.editor_id)
def test_no_cache_update_to_thread_with_anon_then_empty_messages(self):
thread_id = self._create_thread(None, 'first text')
self._create_message(thread_id, self.editor_id, '')
self.assertEqual(self._run_one_off_job(), [('Already up-to-date', 1)])
model = feedback_models.GeneralFeedbackThreadModel.get_by_id(thread_id)
self.assertIsNone(model.last_nonempty_message_author_id)
| 46.037433 | 80 | 0.731967 | 2,294 | 17,218 | 5.074106 | 0.081081 | 0.063918 | 0.072165 | 0.162371 | 0.866667 | 0.844845 | 0.844845 | 0.844845 | 0.844845 | 0.827234 | 0 | 0.00381 | 0.176908 | 17,218 | 373 | 81 | 46.160858 | 0.817528 | 0.09432 | 0 | 0.753138 | 0 | 0 | 0.053479 | 0 | 0 | 0 | 0 | 0 | 0.242678 | 1 | 0.133891 | false | 0 | 0.037657 | 0 | 0.1841 | 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 |
d52ef815943b21c268fbe4d47dd0bd7b46e1f4d5 | 8,960 | py | Python | src/utils/user_agent.py | dTCTb/ReconT | f13537792aac4132d35ca3f7cf06db9af05195d3 | [
"Apache-2.0"
] | 15 | 2019-10-25T22:34:19.000Z | 2022-03-10T14:44:03.000Z | src/utils/user_agent.py | dTCTb/ReconT | f13537792aac4132d35ca3f7cf06db9af05195d3 | [
"Apache-2.0"
] | null | null | null | src/utils/user_agent.py | dTCTb/ReconT | f13537792aac4132d35ca3f7cf06db9af05195d3 | [
"Apache-2.0"
] | 11 | 2019-10-26T14:52:14.000Z | 2022-03-29T15:44:50.000Z | # -*- coding: utf-8 -*-
import random
user_agents = [
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:64.0) Gecko/20100101 Firefox/64.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.2 Safari/605.1.15',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:64.0) Gecko/20100101 Firefox/64.0',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36 Edge/17.17134',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:64.0) Gecko/20100101 Firefox/64.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:64.0) Gecko/20100101 Firefox/64.0',
'Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (X11; Linux x86_64; rv:60.0) Gecko/20100101 Firefox/60.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko',
'Mozilla/5.0 (X11; Linux x86_64; rv:64.0) Gecko/20100101 Firefox/64.0',
'Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.2 Safari/605.1.15',
'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.13; rv:64.0) Gecko/20100101 Firefox/64.0',
'Mozilla/5.0 (Windows NT 6.3; Win64; x64; rv:64.0) Gecko/20100101 Firefox/64.0',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:65.0) Gecko/20100101 Firefox/65.0',
'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:60.0) Gecko/20100101 Firefox/60.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Safari/605.1.15',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 OPR/57.0.3098.116',
'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 YaBrowser/18.11.1.805 Yowser/2.5 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36 Edge/18.17763',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 Edge/16.16299',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36',
'Mozilla/5.0 (iPad; CPU OS 12_1_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148 Safari/604.1',
'Mozilla/5.0 (Windows NT 6.1; rv:60.0) Gecko/20100101 Firefox/60.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.1 Safari/605.1.15',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.81 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 YaBrowser/18.11.1.805 Yowser/2.5 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_3) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.3 Safari/605.1.15',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/11.1.2 Safari/605.1.15',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/71.0.3578.98 Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.3 Safari/605.1.15',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0.2 Safari/605.1.15',
'Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; Touch; rv:11.0) like Gecko',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 OPR/57.0.3098.106',
'Mozilla/5.0 (Windows NT 10.0; WOW64; rv:64.0) Gecko/20100101 Firefox/64.0',
'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 OPR/57.0.3098.116',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:65.0) Gecko/20100101 Firefox/65.0',
'Mozilla/5.0 (Windows NT 6.1; rv:64.0) Gecko/20100101 Firefox/64.0',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:60.0) Gecko/20100101 Firefox/60.0',
'Mozilla/5.0 (X11; Fedora; Linux x86_64; rv:64.0) Gecko/20100101 Firefox/64.0',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.106 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/11.1.2 Safari/605.1.15',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.80 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.80 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:63.0) Gecko/20100101 Firefox/63.0',
'Mozilla/5.0 (X11; CrOS x86_64 11151.59.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.94 Safari/537.36',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.12; rv:64.0) Gecko/20100101 Firefox/64.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.11; rv:64.0) Gecko/20100101 Firefox/64.0',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:66.0) Gecko/20100101 Firefox/66.0',
'Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko',
'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:65.0) Gecko/20100101 Firefox/65.0',
'Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.22 (KHTML, like Gecko) Chrome/18.0.1025.133 Safari/535.22 Midori/0.4',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.4) Gecko/2008102920 Firefox/3.0.4 (Splashtop-v1.3.45.0)',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/534.34 (KHTML, like Gecko) konqueror/4.10.5 Safari/534.34',
'Opera/9.80 (Linux mips ; U; InettvBrowser/2.2 (00014A;SonyDTV115;0002;0100) KDL55EX720; CC/USA; en) Presto/2.5.21 Version/10.30',
'Mozilla/5.0 (Linux armv7l) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/44.0.2403.130 Safari/537.36 OPR/31.0.1890.0 OMI/4.6.1.40.Dominik2.193 VSTVB MB100 FVC/1.0 (LUXOR; MB110; ) HbbTV/1.3.1 (; LUXOR; MB110; 2.32.4.1; ;) SmartTvA/3.0.0',
'Mozilla/5.0 (X11; Linux i686; rv:34.0; 9wnC4ytpyRZfcJm/x9JjlWs9epZMnsOWCeRi00sqfos=) Gecko/20100101 Firefox/34.0',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.2992.0 Safari/537.36',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.1.11) Gecko/20100721 Conkeror/0.9.2 (Debian-0.9.2+git100804-1)',
'Mozilla/5.0 (X11; Linux x86_64) (KHTML, like Gecko) Version/11.0 Safari/604.1.38 QupZilla/1.8.9',
]
def useragent():
return random.choice(user_agents)
| 94.315789 | 240 | 0.708371 | 1,786 | 8,960 | 3.523516 | 0.091825 | 0.100429 | 0.112983 | 0.123471 | 0.870968 | 0.86477 | 0.86191 | 0.850787 | 0.838233 | 0.831877 | 0 | 0.259479 | 0.116964 | 8,960 | 94 | 241 | 95.319149 | 0.535895 | 0.002344 | 0 | 0 | 0 | 0.941176 | 0.93878 | 0.023391 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011765 | false | 0 | 0.011765 | 0.011765 | 0.035294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 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 | 9 |
63c6b104d5fdcb4acce31de0ac54929ea327d860 | 4,726 | py | Python | services/ui/models/label.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 84 | 2017-10-22T11:01:39.000Z | 2022-02-27T03:43:48.000Z | services/ui/models/label.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 22 | 2017-12-11T07:21:56.000Z | 2021-09-23T02:53:50.000Z | services/ui/models/label.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 23 | 2017-12-06T06:59:52.000Z | 2022-02-24T00:02:25.000Z | # ----------------------------------------------------------------------
# DefaultServiceItem
# ----------------------------------------------------------------------
# Copyright (C) 2007-2021 The NOC Project
# See LICENSE for details
# ----------------------------------------------------------------------
# Python modules
from typing import Optional
# Third-party modules
from pydantic import BaseModel
# NOC modules
from .utils import Reference
class LabelItem(BaseModel):
id: str
name: str
is_protected: bool
scope: str
value: str
bg_color1: str
fg_color1: str
bg_color2: str
fg_color2: str
class LabelLabelItem(BaseModel):
id: str
label: str
is_protected: bool
scope: str
value: str
bg_color1: str
fg_color1: str
bg_color2: str
fg_color2: str
class DefaultLabelItem(BaseModel):
id: str
name: str
description: Optional[str]
bg_color1: Optional[int]
fg_color1: Optional[int]
bg_color2: Optional[int]
fg_color2: Optional[int]
is_protected: Optional[bool]
is_autogenerated: Optional[bool]
enable_agent: Optional[bool]
enable_service: Optional[bool]
enable_serviceprofile: Optional[bool]
enable_managedobject: Optional[bool]
enable_managedobjectprofile: Optional[bool]
enable_administrativedomain: Optional[bool]
enable_authprofile: Optional[bool]
enable_commandsnippet: Optional[bool]
enable_allocationgroup: Optional[bool]
enable_networksegment: Optional[bool]
enable_object: Optional[bool]
enable_objectmodel: Optional[bool]
enable_platform: Optional[bool]
enable_resourcegroup: Optional[bool]
enable_sensor: Optional[bool]
enable_sensorprofile: Optional[bool]
enable_subscriber: Optional[bool]
enable_subscriberprofile: Optional[bool]
enable_supplier: Optional[bool]
enable_supplierprofile: Optional[bool]
enable_dnszone: Optional[bool]
enable_dnszonerecord: Optional[bool]
enable_division: Optional[bool]
enable_kbentry: Optional[bool]
enable_ipaddress: Optional[bool]
enable_addressprofile: Optional[bool]
enable_ipaddressrange: Optional[bool]
enable_ipprefix: Optional[bool]
enable_prefixprofile: Optional[bool]
enable_vrf: Optional[bool]
enable_vrfgroup: Optional[bool]
enable_asn: Optional[bool]
enable_assetpeer: Optional[bool]
enable_peer: Optional[bool]
enable_vc: Optional[bool]
enable_vlan: Optional[bool]
enable_vlanprofile: Optional[bool]
enable_vpn: Optional[bool]
enable_vpnprofile: Optional[bool]
enable_slaprobe: Optional[bool]
enable_slaprofile: Optional[bool]
enable_alarm: Optional[bool]
expose_metric: Optional[bool]
expose_datastream: Optional[bool]
remote_system: Optional[Reference]
remote_id: Optional[str]
class FormLabelItem(BaseModel):
name: str
description: Optional[str]
bg_color1: Optional[int]
fg_color1: Optional[int]
bg_color2: Optional[int]
fg_color2: Optional[int]
is_protected: Optional[bool]
enable_agent: Optional[bool]
enable_service: Optional[bool]
enable_serviceprofile: Optional[bool]
enable_managedobject: Optional[bool]
enable_managedobjectprofile: Optional[bool]
enable_administrativedomain: Optional[bool]
enable_authprofile: Optional[bool]
enable_commandsnippet: Optional[bool]
enable_allocationgroup: Optional[bool]
enable_networksegment: Optional[bool]
enable_object: Optional[bool]
enable_objectmodel: Optional[bool]
enable_platform: Optional[bool]
enable_resourcegroup: Optional[bool]
enable_sensor: Optional[bool]
enable_sensorprofile: Optional[bool]
enable_subscriber: Optional[bool]
enable_subscriberprofile: Optional[bool]
enable_supplier: Optional[bool]
enable_supplierprofile: Optional[bool]
enable_dnszone: Optional[bool]
enable_dnszonerecord: Optional[bool]
enable_division: Optional[bool]
enable_kbentry: Optional[bool]
enable_ipaddress: Optional[bool]
enable_addressprofile: Optional[bool]
enable_ipaddressrange: Optional[bool]
enable_ipprefix: Optional[bool]
enable_prefixprofile: Optional[bool]
enable_vrf: Optional[bool]
enable_vrfgroup: Optional[bool]
enable_asn: Optional[bool]
enable_assetpeer: Optional[bool]
enable_peer: Optional[bool]
enable_vc: Optional[bool]
enable_vlan: Optional[bool]
enable_vlanprofile: Optional[bool]
enable_vpn: Optional[bool]
enable_vpnprofile: Optional[bool]
enable_slaprobe: Optional[bool]
enable_slaprofile: Optional[bool]
enable_alarm: Optional[bool]
expose_metric: Optional[bool]
expose_datastream: Optional[bool]
| 31.092105 | 72 | 0.710114 | 505 | 4,726 | 6.425743 | 0.184158 | 0.336518 | 0.465948 | 0.011094 | 0.896148 | 0.886287 | 0.886287 | 0.886287 | 0.886287 | 0.886287 | 0 | 0.006119 | 0.170123 | 4,726 | 151 | 73 | 31.298013 | 0.821265 | 0.072366 | 0 | 0.916031 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.022901 | 0 | 1 | 0 | 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 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 11 |
89471065c8caf019a4c3772ca1a6c1b4e2d46f29 | 9,911 | py | Python | GrasslandModels/models/choler2010.py | sdtaylor/pyPhenoGrass | 6e1bdff439db41f0b8ff5f4ffcea276fe13ccdc2 | [
"MIT"
] | null | null | null | GrasslandModels/models/choler2010.py | sdtaylor/pyPhenoGrass | 6e1bdff439db41f0b8ff5f4ffcea276fe13ccdc2 | [
"MIT"
] | 30 | 2019-11-27T17:22:23.000Z | 2021-09-10T13:09:33.000Z | GrasslandModels/models/choler2010.py | sdtaylor/pyPhenoGrass | 6e1bdff439db41f0b8ff5f4ffcea276fe13ccdc2 | [
"MIT"
] | null | null | null | from . import utils
from .base import BaseModel
import numpy as np
class CholerM1(BaseModel):
"""
The "M1" four parameter model described in Choler et al. 2010
"""
def __init__(self, parameters={}):
BaseModel.__init__(self)
self.all_required_parameters = {'a1': (0, 100), 'a2': (0, 100),
'a3': (0, 100),
'L': (1,30)}
self._organize_parameters(parameters)
self._required_predictors = {'precip': 'per_timestep',
'evap' : 'per_timestep',
'Wcap' : 'per_site'}
self.state_variables = ['V','W','Dt']
self.set_internal_method(method='numpy')
def set_internal_method(self, method = 'numpy'):
if method == 'cython':
raise NotImplementedError('cython method not implemented for this model')
elif method == 'numpy':
self._apply_model = self._apply_model_numpy
else:
raise ValueError('Unknown internal method: ' + method)
def _apply_model_numpy(self,
# Site specific drivers
precip, # precip, Daily vector
evap, # potential ET, Daily vector
Wcap, # field capacity, single value/site
# Model parameters
a1,
a2,
a3,
L,
# Contraints on vegetation.
Vmin = 0.001, # Needs to be small non-zero value
Vmax = 1., # 100% cause GCC is scaled 0-1
# Note in the original Choler 2010 paper, Vmax is a site
# specific value set to the maximum value observed at a site.
# This is not feasable for extrapolation though.
# Initial conditions
W_initial = 0,
Wstart = 0,
V_initial = 0.001,
# Normally just the V (vegatation cover) should be returned,
# but for diagnostics use 'all' to get V, W, and Dt
return_vars = 'V'
):
"""
"""
L = int(L) # must be a whole number, any floats will be truncated.
# Initialize everything
# Primary state variables
W = np.empty_like(precip).astype('float32')
W[:] = W_initial
V = np.empty_like(precip).astype('float32')
V[:] = V_initial
# Derived variables
Dt = np.zeros_like(precip).astype('float32')
# Site level vars such as lagged plant-water and
# temp responses
# In the Choler2010 paper this term is We. It's marked
# add here to match the other models
Dtl = np.empty_like(Wcap)
Dtl1 = np.empty_like(Wcap)
n_timesteps = precip.shape[0] - 1
for i in range(1,n_timesteps):
# if we are near the start of the timeseries then initialize
# soil/plant water to something reasonable
# Condition (iii)
if i - L - 1 < 0:
Dt[i] = np.maximum(0, W[i] - a3)
Dtl[:] = Wstart
Dtl1[:] = Wstart
else:
Dt[i] = np.maximum(0, W[i] - a3)
Dtl = Dt[i-L]
Dtl1 = Dt[i-L-1]
# Soil water
W[i+1] = W[i] + precip[i] - a1 * (W[i]/Wcap) * evap[i]
# Condition (ii)
W[i+1] = np.maximum(0, np.minimum(Wcap, W[i+1]))
# Primary veg growth equation
V[i+1] = V[i] + a2 * (Dtl -Dtl1)
# Condtiion (iv)
# Constrain veg to 0-1
V[i+1] = np.maximum(Vmin, np.minimum(Vmax, V[i+1]))
if return_vars == 'V':
return V
elif return_vars == 'all':
return {'V':V, 'W':W, 'Dt':Dt}
class CholerM1A(CholerM1):
"""
The "M1A" model described in Choler et al. 2010
This fixes the a3 parameter to 0
"""
def __init__(self, parameters={}):
CholerM1.__init__(self)
self.all_required_parameters = {'a1': (0, 100), 'a2': (0, 100),
'a3': 0,
'L': (1,30)}
self._organize_parameters(parameters)
class CholerM1B(CholerM1):
"""
The "M1B" model described in Choler et al. 2010
Parameterizing the full model essentially. Described here
for completeness.
"""
def __init__(self, parameters={}):
CholerM1.__init__(self)
self._organize_parameters(parameters)
class CholerM2(BaseModel):
"""
The "M2" model described in Choler et al. 2010
"""
def __init__(self, parameters={}):
BaseModel.__init__(self)
self.all_required_parameters = {'b1': (0, 100), 'b2': (0, 100),
'b3': (0, 100), 'b4': (0, 100),
'b5': (0,100)}
self._organize_parameters(parameters)
self._required_predictors = {'precip': 'per_timestep',
'evap' : 'per_timestep',
'Wcap' : 'per_site'}
self.state_variables = ['V','W','Dt']
self.set_internal_method(method='numpy')
def set_internal_method(self, method = 'numpy'):
if method == 'cython':
raise NotImplementedError('cython method not implemented for this model')
elif method == 'numpy':
self._apply_model = self._apply_model_numpy
else:
raise ValueError('Unknown internal method: ' + method)
def _apply_model_numpy(self,
# Site specific drivers
precip, # precip, Daily vector
evap, # potential ET, Daily vector
Wcap, # field capacity, single value/site
# Model parameters
b1,
b2,
b3,
b4,
b5,
# Contraints on vegetation.
Vmin = 0.001, # Needs to be small non-zero value
Vmax = 1., # 100% cause GCC is scaled 0-1
# Note in the original Choler 2010 paper, Vmax is a site
# specific value set to the maximum value observed at a site.
# This is not feasable for extrapolation though.
# Initial conditions
W_initial = 0,
Wstart = 0,
V_initial = 0.001,
# Normally just the V (vegatation cover) should be returned,
# but for diagnostics use 'all' to get V, W, and Dt
return_vars = 'V'
):
"""
"""
# Initialize everything
# Primary state variables
W = np.empty_like(precip).astype('float32')
W[:] = W_initial
V = np.empty_like(precip).astype('float32')
V[:] = V_initial
# Derived variables
Dt = np.zeros_like(precip).astype('float32')
n_timesteps = precip.shape[0] - 1
for i in range(1,n_timesteps):
# plant available water
# condition (iii)
Dt[i] = np.maximum(0, W[i] - b5)
# Soil water
W[i+1] = W[i] + precip[i] - b1 * (1 - V[i]) * (W[i]/Wcap) * evap[i] - b2 * V[i] * Dt[i]
# condition (ii)
W[i+1] = np.maximum(0, np.minimum(Wcap, W[i+1]))
# Primary veg growth equation
V[i+1] = b3 * (Dt[i]/(Wcap - b5)) * V[i] * (1-(V[i]/Vmax)) - (b4 * V[i])
# Condtiion (iv)
# Constrain veg to 0-1
V[i+1] = np.maximum(Vmin, np.minimum(Vmax, V[i+1]))
if return_vars == 'V':
return V
elif return_vars == 'all':
return {'V':V, 'W':W, 'Dt':Dt}
class CholerM2A(CholerM2):
"""
The "M2A" model described in Choler et al. 2010
Here the b5 parameter is fixed at 0, essentially making plant available
water equal to total soil water.
"""
def __init__(self, parameters={}):
CholerM2.__init__(self)
self.all_required_parameters = {'b1': (0, 100), 'b2': (0, 100),
'b3': (0, 100), 'b4': (0, 100),
'b5': 0}
self._organize_parameters(parameters)
class CholerM2B(CholerM2):
"""
The "M2B" model described in Choler et al. 2010
Parameterizing the full model essentially. Described here
for completeness.
"""
def __init__(self, parameters={}):
CholerM2.__init__(self)
self._organize_parameters(parameters)
| 38.564202 | 103 | 0.439613 | 995 | 9,911 | 4.248241 | 0.20201 | 0.013248 | 0.004968 | 0.031228 | 0.821859 | 0.804116 | 0.790868 | 0.763662 | 0.740478 | 0.721079 | 0 | 0.044787 | 0.463828 | 9,911 | 256 | 104 | 38.714844 | 0.750659 | 0.233982 | 0 | 0.742647 | 0 | 0 | 0.050595 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073529 | false | 0 | 0.022059 | 0 | 0.169118 | 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 |
896547ff9c2c3d2181f0ce2140b404559bae744f | 33,171 | py | Python | exact_sync/v1/api/annotations_api.py | maubreville/EXACT-Sync | 47a47e5af360292677601a877e0765d5e01bd2df | [
"MIT"
] | null | null | null | exact_sync/v1/api/annotations_api.py | maubreville/EXACT-Sync | 47a47e5af360292677601a877e0765d5e01bd2df | [
"MIT"
] | null | null | null | exact_sync/v1/api/annotations_api.py | maubreville/EXACT-Sync | 47a47e5af360292677601a877e0765d5e01bd2df | [
"MIT"
] | null | null | null | # coding: utf-8
"""
EXACT - API
API to interact with the EXACT Server # noqa: E501
OpenAPI spec version: 1.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
from exact_sync.v1.api.pagination_base_api import PaginationBaseAPI
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from exact_sync.v1.api_client import ApiClient
class AnnotationsApi(PaginationBaseAPI):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def create_annotation(self, **kwargs): # noqa: E501
"""create_annotation # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_annotation(async_req=True)
>>> result = thread.get()
:param async_req bool
:param Annotation body:
:return: Annotation
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_annotation_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.create_annotation_with_http_info(**kwargs) # noqa: E501
return data
def create_annotation_with_http_info(self, **kwargs): # noqa: E501
"""create_annotation # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_annotation_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param Annotation body:
:return: Annotation
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_annotation" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/x-www-form-urlencoded', 'multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = ['basicAuth'] # noqa: E501
return self.api_client.call_api(
'/api/v1/annotations/annotations/', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Annotation', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def destroy_annotation(self, id, **kwargs): # noqa: E501
"""destroy_annotation # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.destroy_annotation(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.destroy_annotation_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.destroy_annotation_with_http_info(id, **kwargs) # noqa: E501
return data
def destroy_annotation_with_http_info(self, id, **kwargs): # noqa: E501
"""destroy_annotation # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.destroy_annotation_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method destroy_annotation" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `destroy_annotation`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['basicAuth'] # noqa: E501
return self.api_client.call_api(
'/api/v1/annotations/annotations/{id}/', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def list_annotations(self, pagination:bool=True, **kwargs): # noqa: E501
"""list_annotations # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_annotations(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int limit: Number of results to return per page.
:param int offset: The initial index from which to return the results.
:param str id: id
:param str time: time
:param str time__lte: time__lte
:param str time__gte: time__gte
:param str time__range: time__range
:param str unique_identifier: unique_identifier
:param str unique_identifier__contains: unique_identifier__contains
:param str description: description
:param str description__contains: description__contains
:param str deleted: deleted
:param str image: image
:param str user: user
:param str annotation_type: annotation_type
:param str verified_by: verified_by
:param str verified_by__range: verified_by__range
:param str vector_x: Vector-X-Range
:param str vector_y: Vector-Y-Range
:param bool meta_data__isnull: Meta data is null
:param bool vector__isnull: Vector is null
:return: Annotations
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if pagination:
if kwargs.get('async_req'):
return self.list_annotations_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.list_annotations_with_http_info(**kwargs) # noqa: E501
return data
else:
return self._get_all(self.list_annotations_with_http_info, **kwargs)
def list_annotations_with_http_info(self, **kwargs): # noqa: E501
"""list_annotations # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_annotations_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int limit: Number of results to return per page.
:param int offset: The initial index from which to return the results.
:param str id: id
:param str time: time
:param str time__lte: time__lte
:param str time__gte: time__gte
:param str time__range: time__range
:param str unique_identifier: unique_identifier
:param str unique_identifier__contains: unique_identifier__contains
:param str description: description
:param str description__contains: description__contains
:param str deleted: deleted
:param str image: image
:param str user: user
:param str annotation_type: annotation_type
:param str verified_by: verified_by
:param str verified_by__range: verified_by__range
:param str vector_x: Vector-X-Range
:param str vector_y: Vector-Y-Range
:param bool meta_data__isnull: Meta data is null
:param bool vector__isnull: Vector is null
:return: Annotations
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['limit', 'offset', 'id', 'time', 'time__lte', 'time__gte', 'time__range', 'unique_identifier', 'unique_identifier__contains', 'description', 'description__contains', 'deleted', 'image', 'user', 'annotation_type', 'verified_by', 'verified_by__range', 'vector_x', 'vector_y', 'meta_data__isnull', 'vector__isnull'] # noqa: E501
all_params.append('omit')
all_params.append('fields')
all_params.append('expand')
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method list_annotations" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'limit' in params:
query_params.append(('limit', params['limit'])) # noqa: E501
if 'offset' in params:
query_params.append(('offset', params['offset'])) # noqa: E501
if 'id' in params:
query_params.append(('id', params['id'])) # noqa: E501
if 'time' in params:
query_params.append(('time', params['time'])) # noqa: E501
if 'time__lte' in params:
query_params.append(('time__lte', params['time__lte'])) # noqa: E501
if 'time__gte' in params:
query_params.append(('time__gte', params['time__gte'])) # noqa: E501
if 'time__range' in params:
query_params.append(('time__range', params['time__range'])) # noqa: E501
if 'unique_identifier' in params:
query_params.append(('unique_identifier', params['unique_identifier'])) # noqa: E501
if 'unique_identifier__contains' in params:
query_params.append(('unique_identifier__contains', params['unique_identifier__contains'])) # noqa: E501
if 'description' in params:
query_params.append(('description', params['description'])) # noqa: E501
if 'description__contains' in params:
query_params.append(('description__contains', params['description__contains'])) # noqa: E501
if 'deleted' in params:
query_params.append(('deleted', params['deleted'])) # noqa: E501
if 'image' in params:
query_params.append(('image', params['image'])) # noqa: E501
if 'user' in params:
query_params.append(('user', params['user'])) # noqa: E501
if 'annotation_type' in params:
query_params.append(('annotation_type', params['annotation_type'])) # noqa: E501
if 'verified_by' in params:
query_params.append(('verified_by', params['verified_by'])) # noqa: E501
if 'verified_by__range' in params:
query_params.append(('verified_by__range', params['verified_by__range'])) # noqa: E501
if 'vector_x' in params:
query_params.append(('vector_x', params['vector_x'])) # noqa: E501
if 'vector_y' in params:
query_params.append(('vector_y', params['vector_y'])) # noqa: E501
if 'meta_data__isnull' in params:
query_params.append(('meta_data__isnull', params['meta_data__isnull'])) # noqa: E501
if 'vector__isnull' in params:
query_params.append(('vector__isnull', params['vector__isnull'])) # noqa: E501
if 'omit' in params:
query_params.append(('omit', params['omit'])) # noqa: E501
if 'fields' in params:
query_params.append(('fields', params['fields'])) # noqa: E50
if 'expand' in params:
query_params.append(('expand', params['expand'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['basicAuth'] # noqa: E501
return self.api_client.call_api(
'/api/v1/annotations/annotations/', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Annotations', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def partial_update_annotation(self, id, **kwargs): # noqa: E501
"""partial_update_annotation # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.partial_update_annotation(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:param int annotation_type:
:param object vector:
:param int image:
:param int last_editor:
:param int user:
:param bool deleted:
:param str description:
:param str unique_identifier:
:param list[int] uploaded_media_files:
:param object meta_data:
:return: Annotation
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.partial_update_annotation_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.partial_update_annotation_with_http_info(id, **kwargs) # noqa: E501
return data
def partial_update_annotation_with_http_info(self, id, **kwargs): # noqa: E501
"""partial_update_annotation # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.partial_update_annotation_with_http_info(id, async_req=True)
>>> result = thread.get()
:param int annotation_type:
:param object vector:
:param int image:
:param int last_editor:
:param int user:
:param bool deleted:
:param str description:
:param str unique_identifier:
:param list[int] uploaded_media_files:
:param object meta_data:
:param last_edit_time
:return: Annotation
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id', 'annotation_type', 'last_edit_time', 'vector', 'image', 'last_editor', 'user', 'deleted', 'description', 'unique_identifier', 'uploaded_media_files', 'meta_data'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method partial_update_annotation" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `partial_update_annotation`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
if 'annotation_type' in params:
body_params['annotation_type'] = params['annotation_type']
if 'vector' in params:
body_params['vector'] = params['vector']
if 'image' in params:
body_params['image'] = params['image']
if 'last_editor' in params:
body_params['last_editor'] = params['last_editor']
if 'user' in params:
body_params['user'] = params['user']
if 'deleted' in params:
body_params['deleted'] = params['deleted']
if 'description' in params:
body_params['description'] = params['description']
if 'unique_identifier' in params:
body_params['unique_identifier'] = params['unique_identifier']
if 'uploaded_media_files' in params:
body_params['uploaded_media_files'] = params['uploaded_media_files']
if 'meta_data' in params:
body_params['meta_data'] = params['meta_data']
if 'last_edit_time' in params:
body_params['last_edit_time'] = params['last_edit_time']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/x-www-form-urlencoded', 'multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = ['basicAuth'] # noqa: E501
return self.api_client.call_api(
'/api/v1/annotations/annotations/{id}/', 'PATCH',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Annotation', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def retrieve_annotation(self, id, **kwargs): # noqa: E501
"""retrieve_annotation # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.retrieve_annotation(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:param str id2: id
:param str time: time
:param str time__lte: time__lte
:param str time__gte: time__gte
:param str time__range: time__range
:param str unique_identifier: unique_identifier
:param str unique_identifier__contains: unique_identifier__contains
:param str description: description
:param str description__contains: description__contains
:param str deleted: deleted
:param str image: image
:param str user: user
:param str annotation_type: annotation_type
:param str verified_by: verified_by
:param str verified_by__range: verified_by__range
:param str vector_x: Vector-X-Range
:param str vector_y: Vector-Y-Range
:return: Annotation
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.retrieve_annotation_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.retrieve_annotation_with_http_info(id, **kwargs) # noqa: E501
return data
def retrieve_annotation_with_http_info(self, id, **kwargs): # noqa: E501
"""retrieve_annotation # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.retrieve_annotation_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:param str id2: id
:param str time: time
:param str time__lte: time__lte
:param str time__gte: time__gte
:param str time__range: time__range
:param str unique_identifier: unique_identifier
:param str unique_identifier__contains: unique_identifier__contains
:param str description: description
:param str description__contains: description__contains
:param str deleted: deleted
:param str image: image
:param str user: user
:param str annotation_type: annotation_type
:param str verified_by: verified_by
:param str verified_by__range: verified_by__range
:param str vector_x: Vector-X-Range
:param str vector_y: Vector-Y-Range
:return: Annotation
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id', 'id2', 'time', 'time__lte', 'time__gte', 'time__range', 'unique_identifier', 'unique_identifier__contains', 'description', 'description__contains', 'deleted', 'image', 'user', 'annotation_type', 'verified_by', 'verified_by__range', 'vector_x', 'vector_y'] # noqa: E501
all_params.append('omit')
all_params.append('fields')
all_params.append('expand')
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method retrieve_annotation" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `retrieve_annotation`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
if 'id2' in params:
query_params.append(('id', params['id2'])) # noqa: E501
if 'time' in params:
query_params.append(('time', params['time'])) # noqa: E501
if 'time__lte' in params:
query_params.append(('time__lte', params['time__lte'])) # noqa: E501
if 'time__gte' in params:
query_params.append(('time__gte', params['time__gte'])) # noqa: E501
if 'time__range' in params:
query_params.append(('time__range', params['time__range'])) # noqa: E501
if 'unique_identifier' in params:
query_params.append(('unique_identifier', params['unique_identifier'])) # noqa: E501
if 'unique_identifier__contains' in params:
query_params.append(('unique_identifier__contains', params['unique_identifier__contains'])) # noqa: E501
if 'description' in params:
query_params.append(('description', params['description'])) # noqa: E501
if 'description__contains' in params:
query_params.append(('description__contains', params['description__contains'])) # noqa: E501
if 'deleted' in params:
query_params.append(('deleted', params['deleted'])) # noqa: E501
if 'image' in params:
query_params.append(('image', params['image'])) # noqa: E501
if 'user' in params:
query_params.append(('user', params['user'])) # noqa: E501
if 'annotation_type' in params:
query_params.append(('annotation_type', params['annotation_type'])) # noqa: E501
if 'verified_by' in params:
query_params.append(('verified_by', params['verified_by'])) # noqa: E501
if 'verified_by__range' in params:
query_params.append(('verified_by__range', params['verified_by__range'])) # noqa: E501
if 'vector_x' in params:
query_params.append(('vector_x', params['vector_x'])) # noqa: E501
if 'vector_y' in params:
query_params.append(('vector_y', params['vector_y'])) # noqa: E501
if 'omit' in params:
query_params.append(('omit', params['omit'])) # noqa: E501
if 'fields' in params:
query_params.append(('fields', params['fields'])) # noqa: E50
if 'expand' in params:
query_params.append(('expand', params['expand'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['basicAuth'] # noqa: E501
return self.api_client.call_api(
'/api/v1/annotations/annotations/{id}/', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Annotation', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_annotation(self, id, **kwargs): # noqa: E501
"""update_annotation # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_annotation(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:param Annotation body:
:return: Annotation
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_annotation_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.update_annotation_with_http_info(id, **kwargs) # noqa: E501
return data
def update_annotation_with_http_info(self, id, **kwargs): # noqa: E501
"""update_annotation # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_annotation_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:param Annotation body:
:return: Annotation
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id', 'body'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_annotation" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `update_annotation`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/x-www-form-urlencoded', 'multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = ['basicAuth'] # noqa: E501
return self.api_client.call_api(
'/api/v1/annotations/annotations/{id}/', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Annotation', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 41.104089 | 348 | 0.610563 | 3,790 | 33,171 | 5.06781 | 0.05277 | 0.048316 | 0.046025 | 0.043526 | 0.92534 | 0.90946 | 0.904358 | 0.890613 | 0.889051 | 0.87666 | 0 | 0.015878 | 0.289892 | 33,171 | 806 | 349 | 41.155087 | 0.799533 | 0.308311 | 0 | 0.788155 | 1 | 0 | 0.226062 | 0.055479 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029613 | false | 0 | 0.01139 | 0 | 0.08656 | 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 |
987169fa0ac1ca2c382ee051da2c562cbba4e931 | 199 | py | Python | api-reconstruction/analysis/__init__.py | eurecom-s3/syscall2api | 2f2c72c759b0fd803fe1302c3b6717cda1906916 | [
"MIT"
] | 10 | 2019-09-24T13:36:15.000Z | 2021-11-01T02:40:10.000Z | api-reconstruction/analysis/__init__.py | eurecom-s3/syscall2api | 2f2c72c759b0fd803fe1302c3b6717cda1906916 | [
"MIT"
] | 2 | 2020-10-19T11:51:08.000Z | 2021-04-17T01:08:23.000Z | api-reconstruction/analysis/__init__.py | eurecom-s3/syscall2api | 2f2c72c759b0fd803fe1302c3b6717cda1906916 | [
"MIT"
] | null | null | null | from .analysis_internals import *
from .classes import *
from .utils import *
from .generic_models import *
from .less_generic_models import *
from .decorators import *
from .trace_analysis import *
| 24.875 | 34 | 0.788945 | 26 | 199 | 5.846154 | 0.423077 | 0.394737 | 0.25 | 0.302632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.140704 | 199 | 7 | 35 | 28.428571 | 0.888889 | 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 |
98751f83e02ca52c7b9a95c339613cdf69ad5d4d | 3,730 | py | Python | tests/test_cards/test_actions/test_sentry.py | evanofslack/pyminion | 0d0bfc6d8e84e9f33e617c7d01b6edb649166290 | [
"MIT"
] | 5 | 2021-12-17T20:34:55.000Z | 2022-01-24T15:18:05.000Z | tests/test_cards/test_actions/test_sentry.py | evanofslack/pyminion | 0d0bfc6d8e84e9f33e617c7d01b6edb649166290 | [
"MIT"
] | 31 | 2021-10-29T21:05:00.000Z | 2022-03-22T03:27:14.000Z | tests/test_cards/test_actions/test_sentry.py | evanofslack/pyminion | 0d0bfc6d8e84e9f33e617c7d01b6edb649166290 | [
"MIT"
] | 1 | 2021-12-23T18:32:47.000Z | 2021-12-23T18:32:47.000Z | from pyminion.expansions.base import copper, estate, gold, sentry
from pyminion.game import Game
from pyminion.players import Human
def test_sentry_no_reorder(human: Human, game: Game, monkeypatch):
human.deck.cards = []
human.deck.add(gold)
human.deck.add(copper)
human.deck.add(copper)
human.hand.add(sentry)
assert len(human.discard_pile) == 0
assert len(game.trash) == 0
assert human.deck.cards[1].name == "Copper"
assert human.deck.cards[0].name == "Gold"
responses = iter(["", "", "no"])
monkeypatch.setattr("builtins.input", lambda input: next(responses))
human.play(sentry, game)
assert len(human.hand) == 1
assert len(human.playmat) == 1
assert len(human.discard_pile) == 0
assert len(game.trash) == 0
assert human.state.actions == 1
assert len(human.deck) == 2
assert human.deck.cards[1].name == "Copper"
assert human.deck.cards[0].name == "Gold"
def test_sentry_yes_reorder(human: Human, game: Game, monkeypatch):
human.deck.cards = []
human.deck.add(gold)
human.deck.add(copper)
human.deck.add(copper)
human.hand.add(sentry)
assert len(human.discard_pile) == 0
assert len(game.trash) == 0
assert human.deck.cards[1].name == "Copper"
assert human.deck.cards[0].name == "Gold"
responses = iter(["", "", "yes"])
monkeypatch.setattr("builtins.input", lambda input: next(responses))
human.play(sentry, game)
assert len(human.hand) == 1
assert len(human.playmat) == 1
assert len(human.discard_pile) == 0
assert len(game.trash) == 0
assert human.state.actions == 1
assert len(human.deck) == 2
assert human.deck.cards[0].name == "Copper"
assert human.deck.cards[1].name == "Gold"
def test_sentry_trash_two(human: Human, game: Game, monkeypatch):
human.deck.cards = []
human.deck.add(estate)
human.deck.add(copper)
human.deck.add(copper)
human.hand.add(sentry)
assert len(human.discard_pile) == 0
assert len(game.trash) == 0
assert human.deck.cards[1].name == "Copper"
assert human.deck.cards[0].name == "Estate"
responses = iter(["copper, estate"])
monkeypatch.setattr("builtins.input", lambda input: next(responses))
human.play(sentry, game)
assert len(human.hand) == 1
assert len(human.discard_pile) == 0
assert len(game.trash) == 2
assert len(human.deck) == 0
def test_sentry_discard_two(human: Human, game: Game, monkeypatch):
human.deck.cards = []
human.deck.add(estate)
human.deck.add(copper)
human.deck.add(copper)
human.hand.add(sentry)
assert len(human.discard_pile) == 0
assert len(game.trash) == 0
assert human.deck.cards[1].name == "Copper"
assert human.deck.cards[0].name == "Estate"
responses = iter(["", "copper, estate"])
monkeypatch.setattr("builtins.input", lambda input: next(responses))
human.play(sentry, game)
assert len(human.hand) == 1
assert len(human.discard_pile) == 2
assert len(game.trash) == 0
assert len(human.deck) == 0
def test_sentry_trash_one_discard_one(human: Human, game: Game, monkeypatch):
human.deck.cards = []
human.deck.add(estate)
human.deck.add(copper)
human.deck.add(copper)
human.hand.add(sentry)
assert len(human.discard_pile) == 0
assert len(game.trash) == 0
assert human.deck.cards[1].name == "Copper"
assert human.deck.cards[0].name == "Estate"
responses = iter(["copper", "estate"])
monkeypatch.setattr("builtins.input", lambda input: next(responses))
human.play(sentry, game)
assert len(human.hand) == 1
assert len(human.discard_pile) == 1
assert len(game.trash) == 1
assert len(human.deck) == 0
| 30.57377 | 77 | 0.660054 | 522 | 3,730 | 4.664751 | 0.084291 | 0.144148 | 0.126489 | 0.11499 | 0.924435 | 0.903901 | 0.881314 | 0.881314 | 0.855031 | 0.855031 | 0 | 0.015852 | 0.188204 | 3,730 | 121 | 78 | 30.826446 | 0.788309 | 0 | 0 | 0.802083 | 0 | 0 | 0.051206 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0.052083 | false | 0 | 0.03125 | 0 | 0.083333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
98976e1ff875b27a2fadf36bccb958474f8deb67 | 35,362 | py | Python | test/test_shapes.py | OxDuke/pyfcl | b6deb0fac90791b5b8765de1cf863656a7908407 | [
"MIT"
] | null | null | null | test/test_shapes.py | OxDuke/pyfcl | b6deb0fac90791b5b8765de1cf863656a7908407 | [
"MIT"
] | null | null | null | test/test_shapes.py | OxDuke/pyfcl | b6deb0fac90791b5b8765de1cf863656a7908407 | [
"MIT"
] | null | null | null | """
@AUTHOR: Weidong Sun
@EMAIL: swdswd28@foxmail.com
"""
from __future__ import print_function, division
import numpy as np
import unittest
import fcl
from common_utils import double_float_difference
def nonzero_rand(*args):
return np.random.rand(*args) + 0.05
def test_shape_self_collide(shape1, shape2, tf1, tf2, is_in_collision):
co1 = fcl.CollisionObject(shape1, tf1)
co2 = fcl.CollisionObject(shape2, tf2)
req = fcl.CollisionRequest()
res = fcl.CollisionResult()
ret = fcl.collide(co1, co2, req, res)
assert res.is_collision == is_in_collision
def test_shape_self_collide_single_contact(shape1,
shape2,
tf1,
tf2,
normal,
pos,
penetration_depth,
normal_atol=0,
pos_atol=0,
depth_atol=0):
co1 = fcl.CollisionObject(shape1, tf1)
co2 = fcl.CollisionObject(shape2, tf2)
req = fcl.CollisionRequest(num_max_contacts=1, enable_contact=True)
res = fcl.CollisionResult()
ret = fcl.collide(co1, co2, req, res)
# Two objects should be in collision
assert res.is_collision == True
# Single contact
# print(len(res.contacts))
# for cot in res.contacts:
# print('-----------------')
# print(cot.normal)
# print(cot.pos)
# print(cot.penetration_depth)
assert len(res.contacts) == 1
contact = res.contacts[0]
np.testing.assert_allclose(contact.normal,
normal,
rtol=0,
atol=normal_atol + double_float_difference)
np.testing.assert_allclose(contact.pos,
pos,
rtol=0,
atol=pos_atol + double_float_difference)
np.testing.assert_allclose(contact.penetration_depth,
penetration_depth,
rtol=0,
atol=depth_atol + double_float_difference)
def test_shape_self_distance(shape1,
shape2,
tf1,
tf2,
expected_distance,
atol=0):
co1 = fcl.CollisionObject(shape1, tf1)
co2 = fcl.CollisionObject(shape2, tf2)
req = fcl.DistanceRequest()
res = fcl.DistanceResult()
ret = fcl.distance(co1, co2, req, res)
np.testing.assert_allclose(res.min_distance,
expected_distance,
rtol=0,
atol=atol + double_float_difference)
class TestTriangleP(unittest.TestCase):
def test_properties(self):
random_vertices = [np.random.rand(3) for i in range(3)]
tri = fcl.TriangleP(*random_vertices)
np.testing.assert_allclose(tri.a,
random_vertices[0],
rtol=0,
atol=0 + double_float_difference)
np.testing.assert_allclose(tri.b,
random_vertices[1],
rtol=0,
atol=0 + double_float_difference)
np.testing.assert_allclose(tri.c,
random_vertices[2],
rtol=0,
atol=0 + double_float_difference)
random_vertices = [np.random.rand(3) for i in range(3)]
tri.a, tri.b, tri.c = random_vertices
np.testing.assert_allclose(tri.a,
random_vertices[0],
rtol=0,
atol=0 + double_float_difference)
np.testing.assert_allclose(tri.b,
random_vertices[1],
rtol=0,
atol=0 + double_float_difference)
np.testing.assert_allclose(tri.c,
random_vertices[2],
rtol=0,
atol=0 + double_float_difference)
def test_self_collide(self):
# t1 = fcl.TriangleP(*np.array([[0,0,0],[1,0,0],[0,1,0]]))
# t2 = fcl.TriangleP(*np.array([[0,1,0],[-1,0,0],[1,0,0]]))
# test_shape_self_collide(t1, t2,
# fcl.Transform(np.array([1,0,0,0]), np.array([0,0,0])),
# fcl.Transform(np.array([1,0,0,0]), np.array([-0.999,0,0])),
# False)
# test_shape_self_collide(t1, t2,
# fcl.Transform(np.array([1,0,0,0]), np.array([0,0,0])),
# fcl.Transform(np.array([1,0,0,0]), np.array([-1.001,0,0])),
# False)
# @TODO: need tests here
pass
def test_self_distance(self):
# @TODO: need tests here
pass
class TestBox(unittest.TestCase):
def test_properties(self):
random_sides = np.random.rand(3)
box = fcl.Box(*random_sides)
np.testing.assert_allclose(box.side,
random_sides,
rtol=0,
atol=0 + double_float_difference)
random_sides = np.random.rand(3)
box.side = random_sides
np.testing.assert_allclose(box.side,
random_sides,
rtol=0,
atol=0 + double_float_difference)
self.assertTrue(box.getNodeType() == 9)
# @TODO: test aabb's center
def test_self_collide(self):
# Seperate on X axis
test_shape_self_collide(
fcl.Box(1, 1, 1), fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0.999, 0, 0])),
True)
test_shape_self_collide(
fcl.Box(1, 1, 1), fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([1.001, 0, 0])),
False)
# Seperate on Y axis
test_shape_self_collide(
fcl.Box(1, 1, 1), fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 1.499, 0])),
True)
test_shape_self_collide(
fcl.Box(1, 1, 1), fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 1.501, 0])),
False)
# Seperate on Z axis
test_shape_self_collide(
fcl.Box(1, 1, 1), fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 1.999])),
True)
test_shape_self_collide(
fcl.Box(1, 1, 1), fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 2.001])),
False)
# Rotate box1 around Z axis for 90 degrees
# Note that the quaternion is in [w,x,y,z] order.
rotate_around_z_90_degrees = np.array([0.70710678, 0., 0., 0.70710678])
test_shape_self_collide(
fcl.Box(1, 1, 1), fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([1.499, 0, 0])),
fcl.Transform(rotate_around_z_90_degrees, np.array([0, 0, 0])),
True)
test_shape_self_collide(
fcl.Box(1, 1, 1), fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([1.501, 0, 0])),
fcl.Transform(rotate_around_z_90_degrees, np.array([0, 0, 0])),
False)
def test_self_collide_with_contact(self):
# Contact on X axis
test_shape_self_collide_single_contact(
fcl.Box(1, 1, 1),
fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0.8, 0, 0])),
normal=[1, 0, 0],
pos=[0.4, 0.5, 0.5],
penetration_depth=0.2,
depth_atol=1e-14)
def test_self_distance(self):
# Seperation on X, Y, Z axis
test_shape_self_distance(
fcl.Box(1, 1, 1), fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([2, 0, 0])), 1.0)
test_shape_self_distance(
fcl.Box(1, 1, 1), fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 3, 0])), 1.5)
test_shape_self_distance(
fcl.Box(1, 1, 1), fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 3])), 1.0)
# If two boxes collide, distance() should return -1.
test_shape_self_distance(
fcl.Box(1, 1, 1), fcl.Box(1, 2, 3),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([1, 0, 0])), -1.0)
class TestSphere(unittest.TestCase):
def test_properties(self):
random_radius = np.random.rand()
sphere = fcl.Sphere(random_radius)
np.testing.assert_allclose(sphere.radius,
random_radius,
rtol=0,
atol=0 + double_float_difference)
random_radius = np.random.rand()
sphere.radius = random_radius
np.testing.assert_allclose(sphere.radius,
random_radius,
rtol=0,
atol=0 + double_float_difference)
self.assertTrue(sphere.getNodeType() == 10)
def test_self_collide(self):
test_shape_self_collide(
fcl.Sphere(1), fcl.Sphere(2),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([2.999, 0, 0])),
True)
test_shape_self_collide(
fcl.Sphere(1), fcl.Sphere(2),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([3.001, 0, 0])),
False)
def test_self_collide_with_contact(self):
# Contact on X axis
test_shape_self_collide_single_contact(
fcl.Sphere(1),
fcl.Sphere(2),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([2, 0, 0])),
normal=[1, 0, 0],
pos=[2. / 3, 0, 0],
penetration_depth=1,
depth_atol=1e-14)
test_shape_self_collide_single_contact(
fcl.Sphere(1),
fcl.Sphere(1),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([1.6, 0, 0])),
normal=[1, 0, 0],
pos=[0.8, 0, 0],
penetration_depth=0.4,
depth_atol=1e-14)
def test_self_distance(self):
test_shape_self_distance(
fcl.Sphere(1), fcl.Sphere(2),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([4, 0, 0])), 1.)
test_shape_self_distance(
fcl.Sphere(1), fcl.Sphere(2),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([2, 0, 0])), -1)
class TestEllipsoid(unittest.TestCase):
def test_properties(self):
random_radii = np.random.rand(3)
ellipsoid = fcl.Ellipsoid(random_radii[0], random_radii[1],
random_radii[2])
np.testing.assert_allclose(ellipsoid.radii,
random_radii,
rtol=0,
atol=0 + double_float_difference)
random_radii = np.random.rand(3)
ellipsoid.radii = random_radii
np.testing.assert_allclose(ellipsoid.radii,
random_radii,
rtol=0,
atol=0 + double_float_difference)
def test_self_collide(self):
e1, e2 = fcl.Ellipsoid(1, 2, 3), fcl.Ellipsoid(1, 2, 3)
test_shape_self_collide(
e1, e2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([1.999, 0, 0])),
True)
test_shape_self_collide(
e1, e2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([2.001, 0, 0])),
False)
test_shape_self_collide(
e1, e2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 3.999, 0])),
True)
test_shape_self_collide(
e1, e2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 4.001, 0])),
False)
test_shape_self_collide(
e1, e2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 5.999])),
True)
test_shape_self_collide(
e1, e2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 6.001])),
False)
rotate_around_x_90_degrees = np.array([0.70710678, 0.70710678, 0., 0.])
test_shape_self_collide(
e1, e2,
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 2.999, 0])),
fcl.Transform(rotate_around_x_90_degrees, np.array([0, 4.999, 0])),
True)
test_shape_self_collide(
e1, e2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(rotate_around_x_90_degrees, np.array([0, 5.001, 0])),
False)
def test_self_distance(self):
e1, e2 = fcl.Ellipsoid(1, 1, 1), fcl.Ellipsoid(1, 2, 3)
test_shape_self_distance(e1,
e2,
fcl.Transform(np.array([1, 0, 0, 0]),
np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]),
np.array([3, 0, 0])),
1.,
atol=1e-6)
test_shape_self_distance(e1,
e2,
fcl.Transform(np.array([1, 0, 0, 0]),
np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]),
np.array([0, 4, 0])),
1.,
atol=1e-6)
test_shape_self_distance(e1,
e2,
fcl.Transform(np.array([1, 0, 0, 0]),
np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]),
np.array([0, 0, 5])),
1.,
atol=1e-6)
# Two elliposoids collide
test_shape_self_distance(
e1, e2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([1, 0, 0])), -1)
class TestCapsule(unittest.TestCase):
def test_properties(self):
random_radius, random_lz = nonzero_rand(), nonzero_rand()
c = fcl.Capsule(random_radius, random_lz)
np.testing.assert_allclose(c.radius,
random_radius,
rtol=0,
atol=0 + double_float_difference)
np.testing.assert_allclose(c.lz,
random_lz,
rtol=0,
atol=0 + double_float_difference)
random_radius, random_lz = nonzero_rand(), nonzero_rand()
c.radius = random_radius
c.lz = random_lz
np.testing.assert_allclose(c.radius,
random_radius,
rtol=0,
atol=0 + double_float_difference)
np.testing.assert_allclose(c.lz,
random_lz,
rtol=0,
atol=0 + double_float_difference)
def test_self_collide(self):
c1, c2 = fcl.Capsule(0.5, 2), fcl.Capsule(1, 4)
# Seperation on X-Y plane
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([1.499, 0, 0])),
True)
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([1.501, 0, 0])),
False)
# Seperation on Z axis
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 4.499])),
True)
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 4.501])),
False)
# Rotate c2 around X axis, then move along Y axis
rotate_around_x_90_degrees = np.array([0.70710678, 0.70710678, 0., 0.])
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(rotate_around_x_90_degrees, np.array([0, 2.499, 0])),
True)
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(rotate_around_x_90_degrees, np.array([0, 3.501, 0])),
False)
def test_self_distance(self):
c1, c2 = fcl.Capsule(0.5, 2), fcl.Capsule(1, 4)
# Seperation on X, Y, Z axis
test_shape_self_distance(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([2, 0, 0])), 0.5)
test_shape_self_distance(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 2, 0])), 0.5)
test_shape_self_distance(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 5])), 0.5)
# If collide, return -0.5?
# It should return -1, @TODO: Why?
# Maybe it is easier to compute distance between capsules
test_shape_self_distance(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 4])), -0.5)
class TestCone(unittest.TestCase):
def test_properties(self):
random_radius, random_lz = nonzero_rand(), nonzero_rand()
c = fcl.Cone(random_radius, random_lz)
np.testing.assert_allclose(c.radius,
random_radius,
rtol=0,
atol=0 + double_float_difference)
np.testing.assert_allclose(c.lz,
random_lz,
rtol=0,
atol=0 + double_float_difference)
random_radius, random_lz = nonzero_rand(), nonzero_rand()
c.radius = random_radius
c.lz = random_lz
np.testing.assert_allclose(c.radius,
random_radius,
rtol=0,
atol=0 + double_float_difference)
np.testing.assert_allclose(c.lz,
random_lz,
rtol=0,
atol=0 + double_float_difference)
def test_self_collide(self):
c1, c2 = fcl.Cone(1, 2), fcl.Cone(2, 4)
# Seperation on X-Y plane
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([2.999, 0, 1])),
True)
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([3.001, 0, 2])),
False)
# Seperation on Z axis
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 2.999])),
True)
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 3.001])),
False)
# Flip one cone upside down
c1, c2 = fcl.Cone(1, 2), fcl.Cone(1, 2)
rotate_around_x_180_degrees = np.array([0, 1, 0, 0])
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 1])),
fcl.Transform(rotate_around_x_180_degrees, np.array([0, 0.999,
1])), True)
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 1])),
fcl.Transform(rotate_around_x_180_degrees, np.array([0, 1.001,
1])), False)
def test_self_distance(self):
c1, c2 = fcl.Cone(1, 2), fcl.Cone(2, 4)
# Seperation on X,Y,Z axis
test_shape_self_distance(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([4, 0, 1])), 1.)
test_shape_self_distance(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 4, 1])), 1.,
1e-6)
test_shape_self_distance(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 4])), 1.)
class TestCylinder(unittest.TestCase):
def test_properties(self):
random_radius, random_lz = nonzero_rand(), nonzero_rand()
c = fcl.Cylinder(random_radius, random_lz)
np.testing.assert_allclose(c.radius,
random_radius,
rtol=0,
atol=0 + double_float_difference)
np.testing.assert_allclose(c.lz,
random_lz,
rtol=0,
atol=0 + double_float_difference)
random_radius, random_lz = nonzero_rand(), nonzero_rand()
c.radius = random_radius
c.lz = random_lz
np.testing.assert_allclose(c.radius,
random_radius,
rtol=0,
atol=0 + double_float_difference)
np.testing.assert_allclose(c.lz,
random_lz,
rtol=0,
atol=0 + double_float_difference)
def test_self_collide(self):
c1, c2 = fcl.Cylinder(0.5, 1), fcl.Cylinder(2, 4)
# Seperation on X-Y plane
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([2.499, 0, 1])),
True)
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([2.501, 0, 2])),
False)
# Seperation on Z axis
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 2.499])),
True)
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 2.501])),
False)
# Rotate c2 around X axis, then move along Y axis
rotate_around_x_90_degrees = np.array([0.70710678, 0.70710678, 0., 0.])
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(rotate_around_x_90_degrees, np.array([0, 2.499, 0])),
True)
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(rotate_around_x_90_degrees, np.array([0, 3.501, 0])),
False)
def test_self_distance(self):
c1, c2 = fcl.Cylinder(0.5, 1), fcl.Cylinder(2, 4)
# Seperation on X,Y,Z axis
test_shape_self_distance(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([3, 0, 1])), 0.5)
test_shape_self_distance(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 3.5, 1])), 1.0,
1e-5)
test_shape_self_distance(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 3])), 0.5)
class TestConvex(unittest.TestCase):
# @TODO: make this test complete
def setUp(self):
vertices = np.array([[0, 0, 1], [0, 0, 0], [0, 1, 0], [1, 0, 0]])
faces = [[0, 2, 1], [0, 1, 3], [0, 3, 2], [1, 2, 3]]
nfaces = [len(face) for face in faces]
cfaces = [[pair[0]] + pair[1] for pair in zip(nfaces, faces)]
cfaces = [item for sublist in cfaces for item in sublist]
c1 = fcl.Convex(vertices, len(faces), cfaces)
self.tetrahedron1 = c1
vertices = np.array([[0, 0, 1], [0, 0, 0], [-1, 0, 0], [0, 1, 0]])
c2 = fcl.Convex(vertices, len(faces), cfaces)
self.tetrahedron2 = c2
def test_self_collide(self):
c1, c2 = self.tetrahedron1, self.tetrahedron2
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([-0.0005, 0, 0])),
False)
test_shape_self_collide(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0.0005, 0, 0])),
True)
def test_self_distance(self):
c1, c2 = self.tetrahedron1, self.tetrahedron2
test_shape_self_distance(c1,
c2,
fcl.Transform(np.array([1, 0, 0, 0]),
np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]),
np.array([-0.001, 0, 0])),
0.001,
atol=1e-7)
test_shape_self_distance(
c1, c2, fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0.001, 0, 0])), -1)
def test_properties(self):
vertices = np.array([[0, 0, 1], [0, 0, 0], [0, 1, 0], [1, 0, 0]])
faces = [[0, 2, 1], [0, 1, 3], [0, 3, 2], [1, 2, 3]]
nfaces = [len(face) for face in faces]
cfaces = [[pair[0]] + pair[1] for pair in zip(nfaces, faces)]
cfaces = [item for sublist in cfaces for item in sublist]
c = fcl.Convex(vertices, len(faces), cfaces)
class TestHalfspace(unittest.TestCase):
def test_properties(self):
random_normal, random_d = nonzero_rand(3), nonzero_rand()
random_normal /= np.linalg.norm(random_normal)
h = fcl.Halfspace(random_normal, random_d)
np.testing.assert_allclose(h.n,
random_normal,
rtol=0,
atol=1e-15 + double_float_difference)
np.testing.assert_allclose(h.d,
random_d,
rtol=0,
atol=1e-15 + double_float_difference)
random_normal, random_d = nonzero_rand(3), nonzero_rand()
random_normal /= np.linalg.norm(random_normal)
h.n = random_normal
h.d = random_d
np.testing.assert_allclose(h.n,
random_normal,
rtol=0,
atol=1e-15 + double_float_difference)
np.testing.assert_allclose(h.d,
random_d,
rtol=0,
atol=1e-15 + double_float_difference)
def test_self_collide(self):
# h1, h2 = fcl.Halfspace(np.array([0, 0, 1]),
# -1), fcl.Halfspace(np.array([0, 0, -1]), 2)
# @TODO: I am not quite sure what is the correct way to do Halfspace self-collide.
pass
def test_self_distance(self):
pass
# @TODO: can't do self distance on HalfSpace, will raise segmentation fault
class TestPlane(unittest.TestCase):
# @TODO: Finish this
def test_properties(self):
pass
def test_self_collide(self):
pass
def test_self_distance(self):
pass
class TestBVHModel(unittest.TestCase):
# @TODO: more & more thorough tests for BVH as it is so widely used.
def setUp(self):
# Create a box centered at [0.5, 1, 1,5] with extents[1, 2, 3]
vertices = np.array([[0., 0., 0.], [0., 0., 3.], [0., 2., 0.],
[0., 2., 3.], [1., 0., 0.], [1., 0., 3.],
[1., 2., 0.], [1., 2., 3.]])
faces = np.array([[7, 3, 5], [5, 3, 1], [4, 0, 6], [6, 0,
2], [1, 0, 5],
[5, 0, 4], [3, 2, 1], [1, 2, 0], [7, 6, 3],
[3, 6, 2], [5, 4, 7], [7, 4, 6]])
bvh = fcl.BVHModel()
bvh.beginModel(len(faces), len(vertices))
bvh.addSubModel(vertices, faces)
bvh.endModel()
self.box_mesh = bvh
# Create a point cloud with 3 points
points = [[0,0,0], [0,0,1], [0, 1, 0]]
bvh = fcl.BVHModel()
bvh.beginModel(0, len(points))
for pt in points:
bvh.addVertex(*pt)
# print("BVH result: ", bvh.endModel())
# print("#BVs: ", bvh.getNumBVs())
self.point_cloud = bvh
def test_properties(self):
self.assertEqual(self.point_cloud.getModelType(), fcl.BVHModelType.BVH_MODEL_POINTCLOUD)
def test_mesh_self_collide(self):
# Seperation on Y axis
test_shape_self_collide(
self.box_mesh, self.box_mesh,
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([-0.999, 0, 0])),
True)
test_shape_self_collide(
self.box_mesh, self.box_mesh,
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([-1.001, 0, 0])),
False)
# Reflect the first box around the Z axis
test_shape_self_collide(
self.box_mesh, self.box_mesh,
fcl.Transform(np.array([0, 0, 0, 1]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, -0.001, 0])),
True)
test_shape_self_collide(
self.box_mesh, self.box_mesh,
fcl.Transform(np.array([0, 0, 0, 1]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0.001, 0])),
False)
def test_mesh_self_distance(self):
# @TODO: Why FCL returns 0 for two meshes in collision
test_shape_self_distance(
self.box_mesh, self.box_mesh,
fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]), np.array([-0.999, 0, 0])), 0)
test_shape_self_distance(self.box_mesh,
self.box_mesh,
fcl.Transform(np.array([1, 0, 0, 0]),
np.array([0, 0, 0])),
fcl.Transform(np.array([1, 0, 0, 0]),
np.array([-1.001, 0, 0])),
0.001,
atol=1e-10)
def test_point_cloud_collide(self):
box = fcl.Box(1,1,1)
point_cloud_co = fcl.CollisionObject(self.point_cloud, fcl.Transform())
box_co = fcl.CollisionObject(box, fcl.Transform())
req = fcl.CollisionRequest()
res = fcl.CollisionResult()
#ret = fcl.collide(point_cloud_co, box_co, req, res)
# test_shape_self_collide(
# box, self.point_cloud,
# fcl.Transform(np.array([0, 0, 0, 1]), np.array([0, -0.499, 0])),
# fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
# True)
# test_shape_self_collide(
# box, self.point_cloud,
# fcl.Transform(np.array([0, 0, 0, 1]), np.array([0, -0.501, 0])),
# fcl.Transform(np.array([1, 0, 0, 0]), np.array([0, 0, 0])),
# False)
if __name__ == '__main__':
unittest.main()
| 41.118605 | 96 | 0.477773 | 4,691 | 35,362 | 3.467491 | 0.055638 | 0.063199 | 0.041498 | 0.03369 | 0.832657 | 0.810218 | 0.798352 | 0.763617 | 0.750768 | 0.727653 | 0 | 0.087279 | 0.374017 | 35,362 | 859 | 97 | 41.166473 | 0.647542 | 0.073836 | 0 | 0.725857 | 0 | 0 | 0.000245 | 0 | 0 | 0 | 0 | 0.001164 | 0.05919 | 1 | 0.065421 | false | 0.010903 | 0.007788 | 0.001558 | 0.0919 | 0.001558 | 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 |
989e62a71985fea6dd7288c0c809bd6de4176a33 | 108 | py | Python | radiosity/odradio/__init__.py | hptcad/radiosity | c4a7dba3acd42c4954880d5c7314c2cda14fdd1b | [
"MIT"
] | null | null | null | radiosity/odradio/__init__.py | hptcad/radiosity | c4a7dba3acd42c4954880d5c7314c2cda14fdd1b | [
"MIT"
] | null | null | null | radiosity/odradio/__init__.py | hptcad/radiosity | c4a7dba3acd42c4954880d5c7314c2cda14fdd1b | [
"MIT"
] | null | null | null | from odradio.examples import cylinder
from odradio.examples import cone
from odradio.examples import concave | 36 | 37 | 0.87037 | 15 | 108 | 6.266667 | 0.466667 | 0.351064 | 0.606383 | 0.797872 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101852 | 108 | 3 | 38 | 36 | 0.969072 | 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 |
7f2abab5a37e55b5e7dcff52f03ed04b63f5ee88 | 100,258 | py | Python | test_geneve.py | peter-zyj/awsCLI | e51e983e0cb79790ee0d30ff055dd27e3c958435 | [
"MIT"
] | null | null | null | test_geneve.py | peter-zyj/awsCLI | e51e983e0cb79790ee0d30ff055dd27e3c958435 | [
"MIT"
] | null | null | null | test_geneve.py | peter-zyj/awsCLI | e51e983e0cb79790ee0d30ff055dd27e3c958435 | [
"MIT"
] | null | null | null | import os, sys
import re, hashlib, time
import atexit
from scapy.all import *
import pytest
from awsAPIv3 import aws
from lib_yijun import *
#pytest -v -s -m geneveASA --skip_updown --html=report.html --self-contained-html --metadata Version 9.17.0.20
def load_asa_config(asa_address, asa_jb_ip="20.0.250.10", debug=False):
import pexpect
# asa_address = "ssh -i 'testDog.pem' admin@3.142.241.180"
conn = pexpect.spawn(asa_address)
conn, result, cont = Geneve_reply(conn)
conn.sendline("en")
conn, result, cont = Geneve_reply(conn)
# conn.sendline("copy http://20.0.250.10/geneve.smp disk0:/.")
conn.sendline(f"copy http://{asa_jb_ip}/geneve.smp disk0:/.")
conn, result, cont = Geneve_reply(conn, timeout=120, debug=debug)
conn.sendline("conf term")
conn, result, cont = Geneve_reply(conn)
conn.sendline("boot system disk0:/geneve.smp")
conn, result, cont = Geneve_reply(conn)
# if debug:
# print("~~~~~~Debug~~~~~~~")
# print('WAITED', wait(600))
# pytest.skip("Time to debug ASA error before reload")
conn.sendline("reload")
conn, result, cont = Geneve_reply(conn, debug=debug)
print('WAITED', wait(600))
conn.close();
del conn
conn = pexpect.spawn(asa_address)
conn, result, cont = Geneve_reply(conn)
conn.sendline("en")
conn, result, cont = Geneve_reply(conn)
conn.sendline("conf term")
conn, result, cont = Geneve_reply(conn)
# asa load pytest_day999.txt
Geneve_load(conn, "pytest_day999.txt")
conn.sendline("show run")
conn, result, cont = Geneve_reply(conn)
assert "20.0.1.101" in cont
def asa_config(asa_address, lines, debug=False) -> tuple:
import pexpect
conn = None
while not conn:
conn = pexpect.spawn(asa_address)
conn, result, cont = Geneve_reply(conn)
conn.sendline("en")
conn, result, cont = Geneve_reply(conn)
conn.sendline("conf term")
conn, result, cont = Geneve_reply(conn)
# for line in lines.splitlines():
# if line:
# conn.sendline(line)
# conn, result, cont = Ocean_reply(conn, debug=debug)
conn.sendline(lines)
conn, result, cont = Geneve_reply(conn, debug=debug)
conn.close()
del conn
return result, cont
def ftd_hack(ftd_address, debug=False):
import pexpect
conn = None
while not conn:
conn = pexpect.spawn(ftd_address)
conn, result, cont = Ocean_reply(conn, debug=debug) #firstlogin, finish all password
go2fxos(conn, debug=debug)
conn.sendline("configure manager delete")
conn, result, cont = Ocean_reply(conn, debug=debug)
time.sleep(5)
conn.sendline("configure manager add 20.0.250.13 cisco")
conn, result, cont = Ocean_reply(conn, debug=debug)
go2ftd(conn, debug=debug)
conn.sendline("en")
conn, result, cont = Ocean_reply(conn, debug=debug)
conn.sendline("show version")
conn, result, cont = Ocean_reply(conn, debug=debug)
p = "Serial Number: (.*)"
sn = re.compile(p).findall(cont)[0].strip()
if debug: print(sn)
go2expert(conn, debug=debug)
cli = f"sudo echo -n '1111222233334444{sn}' | md5sum>/mnt/disk0/enable_configure"
conn.sendline(cli)
conn, result, cont = Ocean_reply(conn, debug=debug)
if debug:
cli = "cat /mnt/disk0/enable_configure"
conn.sendline(cli)
conn, result, cont = Ocean_reply(conn, debug=debug)
print (cont)
go2ftd(conn, debug=debug)
conn.sendline("en")
conn, result, cont = Ocean_reply(conn, debug=debug)
conn.sendline("")
Ocean_reply(conn, debug=debug)
conn.sendline(f"debug menu file-system 7")
conn, result, cont = Ocean_reply(conn, debug=debug)
conn.sendline("")
Ocean_reply(conn, debug=debug)
conn.sendline(f"conf term")
conn, result, cont = Ocean_reply(conn, debug=debug)
conn.sendline("")
conn, result, cont = Ocean_reply(conn, debug=debug)
if "firepower(config)#" not in cont:
print("[Error][ftd_hack] failed to hack")
return
conn.sendline(f"end")
Ocean_reply(conn, debug=debug)
def ftd_config(ftd_address, lines, debug=False) -> tuple:
import pexpect
conn = None
while not conn:
conn = pexpect.spawn(ftd_address)
conn, result, cont = Ocean_reply(conn, debug=debug)
conn.sendline("system support diagnostic-cli")
conn, result, cont = Ocean_reply(conn, debug=debug)
conn.sendline("end")
conn, result, cont = Ocean_reply(conn, debug=debug)
conn.sendline("en")
conn, result, cont = Ocean_reply(conn, debug=debug)
conn.sendline("conf term")
conn, result, cont = Ocean_reply(conn, debug=debug)
for line in lines.splitlines():
if line:
conn.sendline(line)
conn, result, cont = Ocean_reply(conn, debug=debug)
conn.sendline("end")
Ocean_reply(conn, debug=debug)
conn.close()
del conn
return result, cont
def load_ftd_config(ftd_address, debug=False):
import pexpect
conn = pexpect.spawn(ftd_address)
conn, result, cont = Ocean_reply(conn,debug=debug)
go2ftd(conn, debug=debug)
conn.sendline("en")
conn, result, cont = Ocean_reply(conn,debug=debug)
conn.sendline("conf term")
conn, result, cont = Ocean_reply(conn,debug=debug)
Ocean_load(conn, "pytest_day999FTD.txt",debug=debug)
conn.sendline("show run")
conn, result, cont = Ocean_reply(conn,debug=debug)
assert "20.0.1.102" in cont
@pytest.fixture(scope="module", autouse=True)
def setup(request):
skip_updown = request.config.option.skip_updown
if skip_updown:
print("\nsetup/teardown: skipped")
return
global setting, aws_obj
setting = {}
with open("/Users/yijunzhu/.aws/config_auto", "r") as f:
cfg = f.read()
with open("/Users/yijunzhu/.aws/credentials_auto", "r") as f:
cda = f.read()
setting["config"] = cfg
setting["credentials"] = cda
with open("/Users/yijunzhu/.aws/config", "r") as f:
bytes_str = f.read().encode()
md5_default_config = hashlib.md5(bytes_str).digest()
with open("/Users/yijunzhu/.aws/credentials", "r") as f:
bytes_str = f.read().encode()
md5_default_credentials = hashlib.md5(bytes_str).digest()
debug = request.config.option.trs
aws_obj = aws(setting, debug=debug)
atexit.register(aws_obj.close)
aws_obj.load_deployment(fileName="aws_tb_pytest_west_1.config")
aws_obj.start_deployment()
Basic_miss_config()
asa_ip = aws_obj.fetch_address("Test-1-169-EC2-ASA")
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
load_asa_config(asa_address, debug)
def teardown():
aws_obj.close()
with open("/Users/yijunzhu/.aws/config", "r") as f:
bytes_str = f.read().encode()
md5_default_config_v = hashlib.md5(bytes_str).digest()
with open("/Users/yijunzhu/.aws/credentials", "r") as f:
bytes_str = f.read().encode()
md5_default_credentials_v = hashlib.md5(bytes_str).digest()
assert md5_default_config == md5_default_config_v
assert md5_default_credentials == md5_default_credentials_v
request.addfinalizer(teardown)
def Basic_miss_config():
print("####Basic_miss_config test####")
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run()
cmd1 = "sudo ifconfig eth1 down"
cmd2 = "sudo ifconfig eth1 10.0.1.10/24"
cmd3 = "sudo ifconfig eth1 up"
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh2 = paramiko.SSHClient()
ssh2.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
ssh2.connect(asa_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
_, stdout, _ = ssh.exec_command(f"{cmd1};{cmd2};{cmd3}")
stdout.channel.recv_exit_status()
_, stdout, _ = ssh2.exec_command(f"{cmd1};{cmd2};{cmd3}")
stdout.channel.recv_exit_status()
ssh.close()
ssh2.close()
#~~~~~~~~~~
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
# jb_ip = aws_obj.fetch_address("Test-1-169-EC2-App-JB")
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
while True:
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'ping 8.8.8.8 -c 1'")
stdout.channel.recv_exit_status()
resp1 = "".join(stdout.readlines())
if not resp1:
continue
else:
break
assert "100% packet loss" in resp1
ssh.close()
# @pytest.fixture(scope="module", params=["mod1", "mod2"])
# def sss():
# print("~~~~~sss~~~~~")
#
# @pytest.mark.shit
# def test_shit(sss):
# print("\nshit")
#
# @pytest.mark.shit
# def test_shit2():
# print("shit2")
@pytest.mark.clusterConfig
def test_cluster_config(local_asa):
asa_dict = local_asa
print(asa_dict)
key = "testCat.pem"
asa_jb_ip = "30.0.250.20"
job_list = []
from multiprocessing import Process
timer_start = time.time()
for name, ip in asa_dict.items():
asa_address = f"ssh -i '{key}' admin@{ip}"
name = name.replace("#", "-")
timer_p = Process(target=load_asa_config_multi, args=(asa_address, name, asa_jb_ip))
timer_p.start()
job_list.append(timer_p)
for job in job_list:
job.join()
job.close()
end = time.time() - timer_start
print("Info: time cost == ", end)
#Load config
#TBD
@pytest.mark.geneveASA
@pytest.mark.basic1to2
def test_Basic_PingGoogle(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
while True:
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'ping 8.8.8.8 -c 1'")
stdout.channel.recv_exit_status()
resp1 = "".join(stdout.readlines())
if not resp1:
continue
else:
break
assert " 0% packet loss" in resp1
ssh.close()
@pytest.mark.geneveASA
@pytest.mark.basic2to1
def test_Basic_PingApp(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
access_list = f"access-list geneve extended permit icmp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, access_list)
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
while True:
_, stdout, _ = ssh.exec_command(f"ping {app_ip} -c 1")
stdout.channel.recv_exit_status()
resp1 = "".join(stdout.readlines())
if not resp1:
continue
else:
break
assert " 0% packet loss" in resp1
no_access_list = f"no access-list geneve extended permit icmp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, no_access_list)
ssh.close()
@pytest.mark.geneveASA
@pytest.mark.install1to2
def test_apt_install_from_outside(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
while True:
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'sudo apt install net-tools'")
stdout.channel.recv_exit_status()
resp1 = "".join(stdout.readlines())
if not resp1:
continue
else:
break
while True:
_, stdout2, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'ifconfig'")
stdout2.channel.recv_exit_status()
resp2 = "".join(stdout2.readlines())
if not resp2:
continue
else:
break
assert "10.0.1.101" in resp2
ssh.close()
@pytest.mark.geneveASA
@pytest.mark.install2to1
def test_apt_install_from_inside(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
access_list = f"access-list geneve extended permit tcp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, access_list)
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
while True:
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'sudo apt update'")
stdout.channel.recv_exit_status()
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'sudo apt install iperf -y'")
stdout.channel.recv_exit_status()
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'sudo apt install apache2 -y'")
stdout.channel.recv_exit_status()
resp1 = "".join(stdout.readlines())
if not resp1:
continue
else:
break
while True:
_, stdout2, _ = ssh.exec_command(f"wget http://{app_ip}/index.html; ls index.html")
stdout2.channel.recv_exit_status()
resp2 = "".join(stdout2.readlines())
if not resp2:
continue
else:
break
assert "No such file or directory" not in resp2
no_access_list = f"no access-list geneve extended permit tcp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, no_access_list)
ssh.close()
@pytest.mark.pyserver
def test_PYSERVER(skip_updown):
print("skip_updown:", skip_updown)
# asa_jb_address = "ssh -i 'testDog.pem' ubuntu@54.219.169.240"
# asa_address = "ssh -i 'testDog.pem' ubuntu@54.241.122.28"
# 1. transfer server file
cmd1 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@13.57.178.96:/home/ubuntu/."
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@13.57.178.96 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@13.52.150.43:/home/ubuntu/.'"
os.popen(cmd2).read()
cmd3 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@13.57.48.179:/home/ubuntu/."
os.popen(cmd3).read()
# 2. run server file
# cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
# "ubuntu@54.219.169.240 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
# "ubuntu@54.241.122.28 \'sudo screen -d -m sudo python3 Pytest_server.py\''"
# os.popen(cmd3).read()
@pytest.mark.geneveASA
@pytest.mark.tcp
@pytest.mark.tcp1to2
def test_TCP23_from_outside(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
acl_config = f"access-list geneve extended permit tcp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, acl_config)
# 1. transfer server file
cmd1 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"Pytest_server.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd2).read()
# 2. run server file
cmd_k = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo pkill python3\''"
os.popen(cmd_k).read()
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo screen -d -m sudo python3 Pytest_server.py\''"
os.popen(cmd3).read()
# 3. test
test = f"""
import socket
s=socket.socket()
s.connect(("{app_ip}",23))
s.send("Yijun is coming".encode())
msg = s.recv(1024)
print(msg)
"""
with open("test.py", "w+") as f:
f.write(test)
cmd4 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"test.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd4).read()
cmd5 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill python3;python3 test.py'"
resp = os.popen(cmd5).read()
assert "[Pytest]TCP:23 is back!" in resp
# # terminate server
cmd6 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo rm -rf test.py'"
os.popen(cmd6).read()
cmd7 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo pkill python3\''"
os.popen(cmd7).read()
no_acl_config = f"no access-list geneve extended permit tcp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, no_acl_config)
@pytest.mark.geneveASA
@pytest.mark.tcp
@pytest.mark.tcp2to1
def test_TCP23_from_inside(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
# 1. transfer server file
cmd1 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"Pytest_server.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd2).read()
# 2. run server file
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill python3;sudo screen -d -m sudo python3 Pytest_server.py'"
os.popen(cmd3).read()
# 3. test
test = f"""
import socket
s=socket.socket()
s.connect(("{app_jb_ip}",23))
s.send("Yijun is coming".encode())
msg = s.recv(1024)
print(msg)
"""
with open("test.py", "w+") as f:
f.write(test)
cmd4 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"test.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd4).read()
cmd4_2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"test.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd4_2).read()
cmd5 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo pkill python3;python3 test.py\''"
resp = os.popen(cmd5).read()
assert "[Pytest]TCP:23 is back!" in resp
# # terminate server
cmd6 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo rm -rf test.py'"
os.popen(cmd6).read()
cmd6_2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo rm -rf test.py\''"
os.popen(cmd6_2).read()
cmd7 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill python3'"
os.popen(cmd7).read()
@pytest.fixture()
def local_run(show=False):
if "aws_obj" not in globals():
aws_obj = aws(record=False)
app_jb = aws_obj.blind("Test-1-169-EC2-App-JB", "EC2INSTANCE", show=show)
asa_jb = aws_obj.blind("Test-1-169-EC2-ASA-JB", "EC2INSTANCE", show=show)
asa = aws_obj.blind("Test-1-169-EC2-ASA", "EC2INSTANCE", show=show)
app = aws_obj.blind("Test-1-169-EC2-App", "EC2INSTANCE", show=show)
ftd = aws_obj.blind("Pytest-EC2-FTD", "EC2INSTANCE", show=show)
fmc = aws_obj.blind("Pytest-EC2-FMC", "EC2INSTANCE", show=show)
# ftd = aws_obj.blind("Pytest-EC2-FTD", "EC2INSTANCE", show=show)
# fmc = aws_obj.blind("Pytest-EC2-FMC", "EC2INSTANCE", show=show)
app_jb_ip = app_jb["public_ip"]
asa_jb_ip = asa_jb["public_ip"]
asa_ip = asa["public_ip"]
app_ip = app["public_ip"]
ftd_ip = ftd["public_ip"]
fmc_ip = fmc["public_ip"]
yield app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip
aws_obj.close()
@pytest.fixture()
def acl_config(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
acl_config = f"access-list geneve extended permit udp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, acl_config)
yield
no_acl_config = f"no access-list geneve extended permit udp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, no_acl_config)
@pytest.mark.geneveASA
@pytest.mark.udpYijun
# def test_UDP666(acl_config):
def test_UDP666(local_run, acl_config):
# if "aws_obj" in globals():
# app_jb = aws_obj.blind("Test-1-169-EC2-App-JB", "EC2INSTANCE")
# asa_jb = aws_obj.blind("Test-1-169-EC2-ASA-JB", "EC2INSTANCE")
# asa = aws_obj.blind("Test-1-169-EC2-ASA", "EC2INSTANCE")
# app = aws_obj.blind("Test-1-169-EC2-App", "EC2INSTANCE")
#
# else:
# aws_obj = aws(record=False)
# app_jb = aws_obj.blind("Test-1-169-EC2-App-JB", "EC2INSTANCE")
# asa_jb = aws_obj.blind("Test-1-169-EC2-ASA-JB", "EC2INSTANCE")
# asa = aws_obj.blind("Test-1-169-EC2-ASA", "EC2INSTANCE")
# app = aws_obj.blind("Test-1-169-EC2-App", "EC2INSTANCE")
#
# app_jb_ip = app_jb["public_ip"]
# asa_jb_ip = asa_jb["public_ip"]
# asa_ip = asa["public_ip"]
# app_ip = app["public_ip"]
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
# asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
# acl_config = f"access-list geneve extended permit udp host {app_jb_ip} host 10.0.1.101"
# asa_config(asa_address, acl_config)
# 1. transfer server file
cmd1 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"Pytest_server.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd2).read()
# 2. run server file
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo screen -d -m sudo python3 Pytest_server.py\''"
os.popen(cmd3).read()
# 3. test
test = f"""
import socket
s=socket.socket(family=socket.AF_INET, type=socket.SOCK_DGRAM)
s.sendto("Yijun is coming".encode(), ("{app_ip}", 666))
msg = s.recvfrom(1024)
print(msg[0])
"""
with open("test.py", "w+") as f:
f.write(test)
cmd4 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"test.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd4).read()
cmd5 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo python3 test.py'"
resp = os.popen(cmd5).read()
assert "[Pytest]UDP:666 is back!" in resp
# # terminate server
cmd6 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo rm -rf test.py'"
os.popen(cmd6).read()
cmd7 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo pkill python3\''"
os.popen(cmd7).read()
# no_acl_config = f"no access-list geneve extended permit udp host {app_jb_ip} host 10.0.1.101"
# asa_config(asa_address, no_acl_config)
@pytest.mark.geneveASA
@pytest.mark.udp1to2
def test_UDP_from_inside(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
acl_config = f"access-list geneve extended permit udp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, acl_config)
# 1. transfer server file
cmd1 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"Pytest_server.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd2).read()
# 2. run server file
cmd_k = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo pkill python3\''"
os.popen(cmd_k).read()
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo screen -d -m sudo python3 Pytest_server.py\''"
os.popen(cmd3).read()
# 3. test
test = f"""
import socket
s=socket.socket(family=socket.AF_INET, type=socket.SOCK_DGRAM)
s.sendto("Yijun is coming".encode(), ("{app_ip}", 666))
msg = s.recvfrom(1024)
print(msg[0])
"""
with open("test.py", "w+") as f:
f.write(test)
cmd4 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"test.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd4).read()
cmd5 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill python3;python3 test.py'"
resp = os.popen(cmd5).read()
assert "[Pytest]UDP:666 is back!" in resp
# # terminate server
cmd6 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo rm -rf test.py'"
os.popen(cmd6).read()
cmd7 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo pkill python3\''"
os.popen(cmd7).read()
no_acl_config = f"no access-list geneve extended permit udp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, no_acl_config)
@pytest.mark.geneveASA
@pytest.mark.udp2to1
def test_UDP_from_outside(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
# 1. transfer server file
cmd1 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"Pytest_server.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd2).read()
# 2. run server file
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill python3;sudo screen -d -m sudo python3 Pytest_server.py'"
os.popen(cmd3).read()
# 3. test
test = f"""
import socket,os
s=socket.socket(family=socket.AF_INET, type=socket.SOCK_DGRAM)
s.sendto("Yijun is coming".encode(), ("{app_jb_ip}", 666))
msg = s.recvfrom(1024)
print(msg[0])
"""
with open("test.py", "w+") as f:
f.write(test)
cmd4 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"test.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd4).read()
cmd4_2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"test.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd4_2).read()
cmd5 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo python3 test.py; pkill python3\''"
print(cmd5)
resp = os.popen(cmd5).read()
assert "[Pytest]UDP:666 is back!" in resp
# # terminate server
cmd6 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo rm -rf test.py'"
os.popen(cmd6).read()
cmd6_2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo rm -rf test.py\''"
os.popen(cmd6_2).read()
cmd7 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill python3'"
os.popen(cmd7).read()
@pytest.mark.geneveASA
@pytest.mark.iperfudp
def test_iperf_udp(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
acl_config = f"access-list geneve extended permit udp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, acl_config)
cmd1 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo screen -d -m sudo iperf -s -u'"
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo iperf -c {app_jb_ip} -u\''"
res = os.popen(cmd2).read()
bd = re.compile(" ([\d.]+?) (?=MBytes)").findall(res)[0]
assert float(bd) > 0
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill iperf'"
os.popen(cmd3).read()
no_acl_config = f"no access-list geneve extended permit udp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, no_acl_config)
@pytest.mark.geneveASA
@pytest.mark.iperfudpreverse
def test_iperf_udp_reverse(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
acl_config = f"access-list geneve extended permit udp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, acl_config)
cmd1 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo screen -d -m sudo iperf -s -u\''"
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo iperf -c {app_ip} -u;'"
res = os.popen(cmd2).read()
print("Iperf result:\n", res)
bd = re.compile(" ([\d.]+?) (?=MBytes)").findall(res)[0]
assert float(bd) > 0
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo pkill iperf\''"
os.popen(cmd3).read()
no_acl_config = f"no access-list geneve extended permit udp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, no_acl_config)
@pytest.mark.geneveASA
@pytest.mark.iperftcp
def test_iperf_tcp(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
acl_config = f"access-list geneve extended permit tcp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, acl_config)
cmd1 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo screen -d -m sudo iperf -s'"
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo iperf -c {app_jb_ip}\''"
res = os.popen(cmd2).read()
try:
bd = re.compile(" ([\d.]+?) (?=MBytes)").findall(res)[0]
except:
bd = re.compile(" ([\d.]+?) (?=GBytes)").findall(res)[0]
assert float(bd) > 0
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill iperf'"
os.popen(cmd3).read()
no_acl_config = f"no access-list geneve extended permit tcp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, no_acl_config)
@pytest.mark.geneveASA
@pytest.mark.iperftcpreverse
def test_iperf_tcp_reverse(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
acl_config = f"access-list geneve extended permit tcp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, acl_config)
cmd1 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo screen -d -m sudo iperf -s\''"
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo iperf -c {app_ip}'"
res = os.popen(cmd2).read()
print("Iperf result:\n", res)
try:
bd = re.compile(" ([\d.]+?) (?=MBytes)").findall(res)[0]
except:
bd = re.compile(" ([\d.]+?) (?=GBytes)").findall(res)[0]
assert float(bd) > 0
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo pkill iperf\''"
os.popen(cmd3).read()
no_acl_config = f"no access-list geneve extended permit tcp host {app_jb_ip} host 10.0.1.101"
asa_config(asa_address, no_acl_config)
@pytest.mark.geneveASA
@pytest.mark.counter
def test_udp_counter(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
cmd1 = "clear asp drop"
cmd2 = "show asp drop frame geneve-invalid-udp-checksum"
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
asa_config(asa_address, cmd1)
send(IP(dst="20.0.1.101") / UDP(sport=20001, dport=6081, chksum=0) / b'\x08\x00\x08')
_, res = asa_config(asa_address, cmd2)
assert "geneve-invalid-udp-checksum" in res
@pytest.mark.geneveASA
@pytest.mark.reset
def test_tcp_counter(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
cmd = f"ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo screen -d -m ssh root@{asa_jb_ip}\''"
os.popen(cmd).read()
cmd2 = "clear conn address 10.0.1.101"
cmd3 = "show asp drop"
cmd1 = "clear asp drop"
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
asa_config(asa_address, cmd1)
asa_config(asa_address, cmd2)
cmd = f"ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo pkill screen\''"
os.popen(cmd).read()
_, res = asa_config(asa_address, cmd3)
assert "tcp-not-syn" in res
@pytest.mark.geneveASA
@pytest.mark.logserver
def test_log_server(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh2 = paramiko.SSHClient()
ssh2.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
ssh2.connect(asa_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
_, stdout, _ = ssh2.exec_command("sudo ifconfig eth1 down;sudo ifconfig eth1 20.0.1.10/24;sudo ifconfig eth1 up")
stdout.channel.recv_exit_status()
while True:
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'ping 8.8.8.8 -c 10'")
stdout.channel.recv_exit_status()
resp1 = "".join(stdout.readlines())
if not resp1:
continue
else:
break
assert "0% packet loss" in resp1
_, stdout, _ = ssh2.exec_command("sudo systemctl restart syslog")
stdout.channel.recv_exit_status()
while True:
_, stdout, _ = ssh2.exec_command("tail -n 100 /var/log/syslog")
stdout.channel.recv_exit_status()
resp2 = "".join(stdout.readlines())
if not resp2:
continue
else:
break
assert "8.8.8.8" in resp2
ssh.close()
ssh2.close()
@pytest.mark.geneveASA
@pytest.mark.genevedebug
def test_debug_geneve(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
cmd1 = "debug geneve encapsulation"
cmd2 = "debug geneve encapsulation 4"
cmd3 = "debug geneve decapsulation"
cmd4 = "debug geneve decapsulation 4"
cmd5 = "debug geneve all"
cmd_clean = "unde all"
cmd_show = "show debug"
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
import pexpect
conn = pexpect.spawn(asa_address)
Geneve_reply(conn)
conn.sendline("en")
Geneve_reply(conn)
conn.sendline(cmd_clean)
Geneve_reply(conn)
conn.sendline(cmd_show)
_, _, res = Geneve_reply(conn)
assert "debug geneve" not in res
conn.sendline(cmd_clean)
Geneve_reply(conn)
conn.sendline(cmd1)
Geneve_reply(conn)
conn.sendline(cmd_show)
_, _, res = Geneve_reply(conn)
assert "debug geneve encapsulation enabled at level 1" in res
conn.sendline(cmd_clean)
Geneve_reply(conn)
conn.sendline(cmd2)
Geneve_reply(conn)
conn.sendline(cmd_show)
_, _, res = Geneve_reply(conn)
assert "debug geneve encapsulation enabled at level 4" in res
conn.sendline(cmd_clean)
Geneve_reply(conn)
conn.sendline(cmd3)
Geneve_reply(conn)
conn.sendline(cmd_show)
_, _, res = Geneve_reply(conn)
assert "debug geneve decapsulation enabled at level 1" in res
conn.sendline(cmd_clean)
Geneve_reply(conn)
conn.sendline(cmd4)
Geneve_reply(conn)
conn.sendline(cmd_show)
_, _, res = Geneve_reply(conn)
assert "debug geneve decapsulation enabled at level 4" in res
conn.sendline(cmd_clean)
Geneve_reply(conn)
conn.sendline(cmd5)
Geneve_reply(conn)
conn.sendline(cmd_show)
_, _, res = Geneve_reply(conn)
assert "debug geneve encapsulation enabled at level 1" in res
assert "debug geneve decapsulation enabled at level 1" in res
conn.sendline(cmd_clean)
Geneve_reply(conn)
conn.sendline(cmd_show)
_, _, res = Geneve_reply(conn)
assert "debug geneve" not in res
conn.close()
del conn
@pytest.mark.geneveASA
@pytest.mark.metaserver
def test_meta(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
cmd1 = "no aaa authentication listener http data-interface port www"
cmd2 = "nat (data-interface,data-interface) source static gwlb interface destination static interface metadata service http80 http80"
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
asa_config(asa_address, cmd1)
asa_config(asa_address, cmd2)
time.sleep(20)
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
while True:
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'ping 8.8.8.8 -c 1'")
stdout.channel.recv_exit_status()
resp1 = "".join(stdout.readlines())
if not resp1:
continue
else:
break
assert "0% packet loss" in resp1
ssh.close()
@pytest.mark.geneveASA
@pytest.mark.statistics
def test_stats(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
cmd1 = "show interface vni 1"
cmd2 = "show nve 1"
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
_, cont1_1 = asa_config(asa_address, cmd1)
_, cont2_1 = asa_config(asa_address, cmd2)
p1 = "(.*) packets input"
p2 = "(.*) packets output"
output_cmd1_1 = int(re.compile(p1).findall(cont1_1)[0])
output_cmd2_1 = int(re.compile(p2).findall(cont2_1)[0])
test_Basic_PingGoogle(local_run)
_, cont1_2 = asa_config(asa_address, cmd1)
_, cont2_2 = asa_config(asa_address, cmd2)
output_cmd1_2 = int(re.compile(p1).findall(cont1_2)[0])
output_cmd2_2 = int(re.compile(p2).findall(cont2_2)[0])
assert output_cmd1_2 > output_cmd1_1
assert output_cmd2_2 > output_cmd2_1
@pytest.mark.geneveASA
@pytest.mark.capture
def test_capture(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, _, _ = local_run
cmd0 = "no capture g"
cmd1 = "clear cap /all"
cmd2 = "cap g int ge trace"
cmd3 = "show capture g | in icmp: echo request"
asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
asa_config(asa_address, cmd0)
asa_config(asa_address, cmd1)
asa_config(asa_address, cmd2)
test_Basic_PingGoogle(local_run)
time.sleep(1)
_, cont3 = asa_config(asa_address, cmd3)
pNum = int(re.compile("\d+: ").findall(cont3)[0].strip().split(":")[0])
cmd4 = f"show capture g trace packet-number {pNum}"
cmd5 = "no capture g"
_, cont4 = asa_config(asa_address, cmd4)
assert "Action: allow" in cont4
asa_config(asa_address, cmd5)
@pytest.mark.replace
@pytest.mark.reFTD
def test_replace_FTD():
cont = '''
Del_Pytest_NWInterface_FTD1(TERMINATION):
type: NETWORK_INTERFACE
action:
bind_to:
- Del_Pytest-EC2-FTD
Del_Pytest_NWInterface_FTD2(TERMINATION):
type: NETWORK_INTERFACE
action:
bind_to:
- Del_Pytest-EC2-FTD
Del_Pytest_NWInterface_FTD3(TERMINATION):
type: NETWORK_INTERFACE
action:
bind_to:
- Del_Pytest-EC2-FTD
Del_Pytest_SUB_Sec_2_DATA(TERMINATION):
type: SUBNET
action:
bind_to:
- Del_Pytest_NWInterface_FTD2
Del_Pytest_SUB_Sec_3_DATA(TERMINATION):
type: SUBNET
action:
bind_to:
- Del_Pytest_NWInterface_FTD3
Del_Pytest-AMI-FTD(TERMINATION):
# id: ami-0d846ab5ee3c4de5a
type: AMICOPY
action:
bind_to:
- Del_Pytest-EC2-FTD
Del_Pytest-EC2-FTD(TERMINATION):
# id: i-0dfac8028eeb2df7c
type: EC2INSTANCE
Pytest-EC2-FTD(EC2INSTANCE):
image-id: Pytest-AMI-FTD
instance-type: d2.2xlarge
key-name: testDog
security-group-ids: Test-1-169_SG_Sec_MGMT
count: 1
subnet-id: Test-1-169_SUB_Sec_MGMT
associate-public-ip-address: None
private-ip-address: 20.0.250.12
action:
query_from:
- Test-1-169_SUB_Sec_MGMT
- Test-1-169_SG_Sec_MGMT
bind_to:
- Pytest-AMI-FTD
- Del_Pytest-EC2-FTD
cleanUP: True
Pytest-AMI-FTD(AMICOPY):
source-image-id: ami-025ac61040bca3a8e
# source-image-id: ami-074379cc45251cfae
source-region: us-west-2
region: us-west-1
name: ftdv
action:
bind_to:
- Del_Pytest-AMI-FTD
cleanUP: True
Pytest_SUB_Sec_2_DATA(SUBNET):
vpc-id: Test-1-169_VPC_Sec
cidr-block: 20.0.2.0/24
availability-zone: '{Test-1-169_SUB_App_1_MGMT}'
action:
query_from:
- Test-1-169_VPC_Sec
- Test-1-169_SUB_App_1_MGMT
bind_to:
- Del_Pytest_SUB_Sec_2_DATA
- Pytest_SUB_Sec_3_DATA
cleanUP: True
Pytest_SUB_Sec_3_DATA(SUBNET):
vpc-id: Test-1-169_VPC_Sec
cidr-block: 20.0.3.0/24
availability-zone: '{Test-1-169_SUB_App_1_MGMT}'
action:
query_from:
- Test-1-169_VPC_Sec
- Test-1-169_SUB_App_1_MGMT
bind_to:
- Del_Pytest_SUB_Sec_3_DATA
cleanUP: True
Pytest_NWInterface_FTD1(NETWORK_INTERFACE):
subnet-id: Test-1-169_SUB_Sec_DATA
description: pytest Data Network for ASA
groups: Test-1-169_SG_Sec_DATA
private-ip-address: 20.0.1.102
action:
query_from:
- Test-1-169_SUB_Sec_DATA
- Test-1-169_SG_Sec_DATA
bind_to:
- Del_Pytest_NWInterface_FTD1
cleanUP: True
Pytest_NWInterface_FTD2(NETWORK_INTERFACE):
subnet-id: Pytest_SUB_Sec_2_DATA
description: Test-1-169 Data Network2 for ASA
groups: Test-1-169_SG_Sec_DATA
private-ip-address: 20.0.2.102
action:
query_from:
- Test-1-169_SG_Sec_DATA
bind_to:
- Pytest_SUB_Sec_2_DATA
- Del_Pytest_NWInterface_FTD2
cleanUP: True
Pytest_NWInterface_FTD3(NETWORK_INTERFACE):
subnet-id: Pytest_SUB_Sec_3_DATA
description: Test-1-169 Data Network3 for ASA
groups: Test-1-169_SG_Sec_DATA
private-ip-address: 20.0.3.102
action:
query_from:
- Test-1-169_SG_Sec_DATA
bind_to:
- Pytest_SUB_Sec_3_DATA
- Del_Pytest_NWInterface_FTD3
cleanUP: True
Pytest_NWInterface_FTD_1_Bind(BIND):
network-interface-id: Pytest_NWInterface_FTD1
instance-id: Pytest-EC2-FTD
device-index: 1
action:
bind_to:
- Pytest_NWInterface_FTD1
- Pytest-EC2-FTD
- Pytest_NWInterface_FTD_3_Bind
cleanUP: True
Pytest_NWInterface_FTD_2_Bind(BIND):
network-interface-id: Pytest_NWInterface_FTD2
instance-id: Pytest-EC2-FTD
device-index: 2
action:
bind_to:
- Pytest_NWInterface_FTD2
- Pytest-EC2-FTD
- Pytest_NWInterface_FTD_1_Bind
cleanUP: True
Pytest_NWInterface_FTD_3_Bind(BIND):
network-interface-id: Pytest_NWInterface_FTD3
instance-id: Pytest-EC2-FTD
device-index: 3
action:
bind_to:
- Pytest_NWInterface_FTD3
- Pytest-EC2-FTD
cleanUP: True
'''
obj = aws(record=False, debug=True)
atexit.register(obj.close)
obj.load_deployment(content=cont)
obj.start_deployment()
@pytest.mark.reFTD2
def test_replace_FTD2():
cont = '''
Del_Test-Hybrid_NWInterface_FTD1(TERMINATION):
type: NETWORK_INTERFACE
action:
bind_to:
- Del_Test-Hybrid-EC2-FTD
Del_Test-Hybrid_NWInterface_FTD2(TERMINATION):
type: NETWORK_INTERFACE
action:
bind_to:
- Del_Test-Hybrid-EC2-FTD
Del_Test-Hybrid_NWInterface_FTD3(TERMINATION):
type: NETWORK_INTERFACE
action:
bind_to:
- Del_Test-Hybrid-EC2-FTD
Del_Test-Hybrid_SUB_Sec_2_DATA(TERMINATION):
type: SUBNET
action:
bind_to:
- Del_Test-Hybrid_NWInterface_FTD2
Del_Test-Hybrid_SUB_Sec_3_DATA(TERMINATION):
type: SUBNET
action:
bind_to:
- Del_Test-Hybrid_NWInterface_FTD3
Del_Test-Hybrid-AMI-FTD(TERMINATION):
# id: ami-0d846ab5ee3c4de5a
type: AMICOPY
action:
bind_to:
- Del_Test-Hybrid-EC2-FTD
Del_Test-Hybrid-EC2-FTD(TERMINATION):
# id: i-0dfac8028eeb2df7c
type: EC2INSTANCE
Test-Hybrid-EC2-FTD(EC2INSTANCE):
image-id: Test-Hybrid-AMI-FTD
instance-type: d2.2xlarge
key-name: testDog
security-group-ids: Test-Hybrid_SG_Sec_MGMT
count: 1
subnet-id: Test-Hybrid_SUB_Sec_MGMT
associate-public-ip-address: None
private-ip-address: 20.0.250.12
action:
query_from:
- Test-Hybrid_SUB_Sec_MGMT
- Test-Hybrid_SG_Sec_MGMT
bind_to:
- Test-Hybrid-AMI-FTD
- Del_Test-Hybrid-EC2-FTD
cleanUP: True
Test-Hybrid-AMI-FTD(AMICOPY):
source-image-id: ami-08473057344d9dd0d
# source-image-id: ami-074379cc45251cfae
source-region: us-west-2
region: us-west-1
name: ftdv
action:
bind_to:
- Del_Test-Hybrid-AMI-FTD
cleanUP: True
Test-Hybrid_SUB_Sec_2_DATA(SUBNET):
vpc-id: Test-Hybrid_VPC_Sec
cidr-block: 20.0.2.0/24
availability-zone: '{Test-Hybrid_SUB_App_1_MGMT}'
action:
query_from:
- Test-Hybrid_VPC_Sec
- Test-Hybrid_SUB_App_1_MGMT
bind_to:
- Del_Test-Hybrid_SUB_Sec_2_DATA
- Test-Hybrid_SUB_Sec_3_DATA
cleanUP: True
Test-Hybrid_SUB_Sec_3_DATA(SUBNET):
vpc-id: Test-Hybrid_VPC_Sec
cidr-block: 20.0.3.0/24
availability-zone: '{Test-Hybrid_SUB_App_1_MGMT}'
action:
query_from:
- Test-Hybrid_VPC_Sec
- Test-Hybrid_SUB_App_1_MGMT
bind_to:
- Del_Test-Hybrid_SUB_Sec_3_DATA
cleanUP: True
Test-Hybrid_NWInterface_FTD1(NETWORK_INTERFACE):
subnet-id: Test-Hybrid_SUB_Sec_DATA
description: pytest Data Network for ASA
groups: Test-Hybrid_SG_Sec_DATA
private-ip-address: 20.0.1.102
action:
query_from:
- Test-Hybrid_SUB_Sec_DATA
- Test-Hybrid_SG_Sec_DATA
bind_to:
- Del_Test-Hybrid_NWInterface_FTD1
cleanUP: True
Test-Hybrid_NWInterface_FTD2(NETWORK_INTERFACE):
subnet-id: Test-Hybrid_SUB_Sec_2_DATA
description: Test-Hybrid Data Network2 for ASA
groups: Test-Hybrid_SG_Sec_DATA
private-ip-address: 20.0.2.102
action:
query_from:
- Test-Hybrid_SG_Sec_DATA
bind_to:
- Test-Hybrid_SUB_Sec_2_DATA
- Del_Test-Hybrid_NWInterface_FTD2
cleanUP: True
Test-Hybrid_NWInterface_FTD3(NETWORK_INTERFACE):
subnet-id: Test-Hybrid_SUB_Sec_3_DATA
description: Test-Hybrid Data Network3 for ASA
groups: Test-Hybrid_SG_Sec_DATA
private-ip-address: 20.0.3.102
action:
query_from:
- Test-Hybrid_SG_Sec_DATA
bind_to:
- Test-Hybrid_SUB_Sec_3_DATA
- Del_Test-Hybrid_NWInterface_FTD3
cleanUP: True
Test-Hybrid_NWInterface_FTD_1_Bind(BIND):
network-interface-id: Test-Hybrid_NWInterface_FTD1
instance-id: Test-Hybrid-EC2-FTD
device-index: 1
action:
bind_to:
- Test-Hybrid_NWInterface_FTD1
- Test-Hybrid-EC2-FTD
- Test-Hybrid_NWInterface_FTD_3_Bind
cleanUP: True
Test-Hybrid_NWInterface_FTD_2_Bind(BIND):
network-interface-id: Test-Hybrid_NWInterface_FTD2
instance-id: Test-Hybrid-EC2-FTD
device-index: 2
action:
bind_to:
- Test-Hybrid_NWInterface_FTD2
- Test-Hybrid-EC2-FTD
- Test-Hybrid_NWInterface_FTD_1_Bind
cleanUP: True
Test-Hybrid_NWInterface_FTD_3_Bind(BIND):
network-interface-id: Test-Hybrid_NWInterface_FTD3
instance-id: Test-Hybrid-EC2-FTD
device-index: 3
action:
bind_to:
- Test-Hybrid_NWInterface_FTD3
- Test-Hybrid-EC2-FTD
cleanUP: True
'''
obj = aws(record=False, debug=True)
atexit.register(obj.close)
obj.load_deployment(content=cont)
obj.start_deployment()
@pytest.mark.reFMC2
def test_replace_FMC2():
cont = '''
Del_Test-Hybrid-EC2-FMC(TERMINATION):
# id: i-0dfac8028eeb2df7c
type: EC2INSTANCE
Del_Test-Hybrid-AMI-FMC(TERMINATION):
# id: ami-0d846ab5ee3c4de5a
type: AMICOPY
Test-Hybrid-EC2-FMC(EC2INSTANCE):
image-id: Test-Hybrid-AMI-FMC
instance-type: d2.2xlarge
key-name: testDog
security-group-ids: Test-Hybrid_SG_Sec_MGMT
count: 1
subnet-id: Test-Hybrid_SUB_Sec_MGMT
associate-public-ip-address: None
private-ip-address: 20.0.250.13
action:
query_from:
- Test-Hybrid_SUB_Sec_MGMT
- Test-Hybrid_SG_Sec_MGMT
bind_to:
- Test-Hybrid-AMI-FMC
- Del_Test-Hybrid-EC2-FMC
cleanUP: True
Test-Hybrid-AMI-FMC(AMICOPY):
source-image-id: ami-0e8f534eeea33536b
source-region: us-west-2
region: us-west-1
name: fmcv
action:
bind_to:
- Del_Test-Hybrid-AMI-FMC
cleanUP: True
'''
obj = aws(record=False, debug=True)
atexit.register(obj.close)
obj.load_deployment(content=cont)
obj.start_deployment()
@pytest.mark.replace
@pytest.mark.reFMC
def test_replace_FMC():
cont = '''
Del_Pytest-EC2-FMC(TERMINATION):
# id: i-0dfac8028eeb2df7c
type: EC2INSTANCE
Del_Pytest-AMI-FMC(TERMINATION):
# id: ami-0d846ab5ee3c4de5a
type: AMICOPY
Pytest-EC2-FMC(EC2INSTANCE):
image-id: Pytest-AMI-FMC
instance-type: d2.2xlarge
key-name: testDog
security-group-ids: Test-1-169_SG_Sec_MGMT
count: 1
subnet-id: Test-1-169_SUB_Sec_MGMT
associate-public-ip-address: None
private-ip-address: 20.0.250.13
action:
query_from:
- Test-1-169_SUB_Sec_MGMT
- Test-1-169_SG_Sec_MGMT
bind_to:
- Pytest-AMI-FMC
- Del_Pytest-EC2-FMC
cleanUP: True
Pytest-AMI-FMC(AMICOPY):
source-image-id: ami-0e8f534eeea33536b
source-region: us-west-2
region: us-west-1
name: fmcv
action:
bind_to:
- Del_Pytest-AMI-FMC
cleanUP: True
'''
obj = aws(record=False, debug=True)
atexit.register(obj.close)
obj.load_deployment(content=cont)
obj.start_deployment()
@pytest.mark.reASA
def test_replace_ASA():
cont = '''
Del_pytest_ASA_New(TERMINATION):
type: EC2INSTANCE
Del_pytest_NWInterface_ASA_New(TERMINATION):
type: NETWORK_INTERFACE
action:
bind_to:
- Del_pytest_ASA_New
pytest_ASA_New(EC2INSTANCE):
image-id: ami-01cab33393210e391
instance-type: c5.xlarge
key-name: testDog
security-group-ids: Test-1-169_SG_Sec_MGMT
count: 1
subnet-id: Test-1-169_SUB_Sec_MGMT
associate-public-ip-address: None
private-ip-address: 20.0.250.12
user-data: file://pytest_day0.txt
action:
query_from:
- Test-1-169_SUB_Sec_MGMT
- Test-1-169_SG_Sec_MGMT
bind_to:
- Del_pytest_ASA_New
cleanUP: True
pytest_NWInterface_ASA_New(NETWORK_INTERFACE):
subnet-id: Test-1-169_SUB_Sec_DATA
description: Test-1-169 Data Network for ASA
groups: Test-1-169_SG_Sec_DATA
private-ip-address: 20.0.1.102
action:
query_from:
- Test-1-169_SG_Sec_DATA
- Test-1-169_SUB_Sec_DATA
bind_to:
- Del_pytest_NWInterface_ASA_New
cleanUP: True
pytest_NWInterface_ASA_Bind(BIND):
network-interface-id: pytest_NWInterface_ASA_New
instance-id: pytest_ASA_New
device-index: 1
action:
bind_to:
- pytest_NWInterface_ASA_New
- pytest_ASA_New
cleanUP: True
'''
obj = aws(record=False)
atexit.register(obj.close)
obj.load_deployment(content=cont)
obj.start_deployment()
@pytest.mark.addasa
def test_addASA():
cont = '''
pytest_ASA_New(EC2INSTANCE):
image-id: ami-01cab33393210e391
instance-type: c5.xlarge
key-name: testDog
security-group-ids: Test-1-169_SG_Sec_MGMT
count: 1
subnet-id: Test-1-169_SUB_Sec_MGMT
associate-public-ip-address: None
private-ip-address: 20.0.250.12
user-data: file://pytest_day0.txt
action:
query_from:
- Test-1-169_SUB_Sec_MGMT
- Test-1-169_SG_Sec_MGMT
cleanUP: True
pytest_NWInterface_ASA_New(NETWORK_INTERFACE):
subnet-id: Test-1-169_SUB_Sec_DATA
description: Test-1-169 Data Network for ASA
groups: Test-1-169_SG_Sec_DATA
private-ip-address: 20.0.1.102
action:
query_from:
- Test-1-169_SG_Sec_DATA
- Test-1-169_SUB_Sec_DATA
cleanUP: True
pytest_NWInterface_ASA_Bind(BIND):
network-interface-id: pytest_NWInterface_ASA_New
instance-id: pytest_ASA_New
device-index: 1
action:
bind_to:
- pytest_NWInterface_ASA_New
- pytest_ASA_New
cleanUP: True
'''
setting = {}
cfg = {"default": {"region": "us-west-1", "output": "yaml"}}
cda = {"default": {"aws_access_key_id": "AKIAWMUP3NI4ET7YU6AN",
"aws_secret_access_key": "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"}}
setting["config"] = cfg
setting["credentials"] = cda
obj = aws(setting, record=False)
atexit.register(obj.close)
obj.load_deployment(content=cont)
obj.start_deployment()
# asa_ip = obj.fetch_address("Auto_ASA_New")
# asa_address = f"ssh -i 'testDog.pem' admin@{asa_ip}"
#
# load_asa_config(asa_address, debug=False)
# @pytest.mark.addftd
# def test_FTD():
# cont = '''
# Pytest-EC2-FTD(EC2INSTANCE):
# image-id: Pytest-AMI-FTD
# instance-type: d2.2xlarge
# key-name: testDog
# security-group-ids: Test-1-169_SG_Sec_MGMT
# count: 1
# subnet-id: Test-1-169_SUB_Sec_MGMT
# associate-public-ip-address: None
# private-ip-address: 20.0.250.12
# action:
# query_from:
# - Test-1-169_SUB_Sec_MGMT
# - Test-1-169_SG_Sec_MGMT
# bind_to:
# - Pytest-AMI-FTD
# cleanUP: True
#
# Pytest-AMI-FTD(AMICOPY):
# source-image-id: ami-05a840fdc851de7cb
# source-region: us-east-2
# region: us-west-1
# name: ftdv
# action:
# cleanUP: True
#
# Pytest_SUB_Sec_2_DATA(SUBNET):
# vpc-id: Test-1-169_VPC_Sec
# cidr-block: 20.0.2.0/24
# availability-zone: '{Test-1-169_SUB_App_1_MGMT}'
# action:
# query_from:
# - Test-1-169_VPC_Sec
# - Test-1-169_SUB_App_1_MGMT
# cleanUP: True
# Pytest_SUB_Sec_3_DATA(SUBNET):
# vpc-id: Test-1-169_VPC_Sec
# cidr-block: 20.0.3.0/24
# availability-zone: '{Test-1-169_SUB_App_1_MGMT}'
# action:
# query_from:
# - Test-1-169_VPC_Sec
# - Test-1-169_SUB_App_1_MGMT
# cleanUP: True
#
# Pytest_NWInterface_FTD1(NETWORK_INTERFACE):
# subnet-id: Test-1-169_SUB_Sec_DATA
# description: pytest Data Network for ASA
# groups: Test-1-169_SG_Sec_DATA
# private-ip-address: 20.0.1.102
# action:
# query_from:
# - Test-1-169_SUB_Sec_DATA
# - Test-1-169_SG_Sec_DATA
# cleanUP: True
# Pytest_NWInterface_FTD2(NETWORK_INTERFACE):
# subnet-id: Pytest_SUB_Sec_2_DATA
# description: Test-1-169 Data Network2 for ASA
# groups: Test-1-169_SG_Sec_DATA
# private-ip-address: 20.0.2.102
# action:
# query_from:
# - Test-1-169_SG_Sec_DATA
# bind_to:
# - Pytest_SUB_Sec_2_DATA
# cleanUP: True
# Pytest_NWInterface_FTD3(NETWORK_INTERFACE):
# subnet-id: Pytest_SUB_Sec_3_DATA
# description: Test-1-169 Data Network3 for ASA
# groups: Test-1-169_SG_Sec_DATA
# private-ip-address: 20.0.3.102
# action:
# query_from:
# - Test-1-169_SG_Sec_DATA
# bind_to:
# - Pytest_SUB_Sec_3_DATA
# cleanUP: True
#
# Pytest_NWInterface_FTD_1_Bind(BIND):
# network-interface-id: Pytest_NWInterface_FTD1
# instance-id: Pytest-EC2-FTD
# device-index: 1
# action:
# bind_to:
# - Pytest_NWInterface_FTD1
# - Pytest-EC2-FTD
# cleanUP: True
# Pytest_NWInterface_FTD_2_Bind(BIND):
# network-interface-id: Pytest_NWInterface_FTD2
# instance-id: Pytest-EC2-FTD
# device-index: 2
# action:
# bind_to:
# - Pytest_NWInterface_FTD2
# - Pytest-EC2-FTD
# cleanUP: True
# Pytest_NWInterface_FTD_3_Bind(BIND):
# network-interface-id: Pytest_NWInterface_FTD3
# instance-id: Pytest-EC2-FTD
# device-index: 3
# action:
# bind_to:
# - Pytest_NWInterface_FTD3
# - Pytest-EC2-FTD
# cleanUP: True
# '''
# obj = aws(debug=False)
# atexit.register(obj.close)
#
# obj.load_deployment(content=cont)
# obj.start_deployment()
#
#
# @pytest.mark.addfmc
# def test_FMC():
# cont = '''
# Pytest-EC2-FMC(EC2INSTANCE):
# image-id: Pytest-AMI-FMC
# instance-type: d2.2xlarge
# key-name: testDog
# security-group-ids: Test-1-169_SG_Sec_MGMT
# count: 1
# subnet-id: Test-1-169_SUB_Sec_MGMT
# associate-public-ip-address: None
# private-ip-address: 20.0.250.13
# action:
# query_from:
# - Test-1-169_SUB_Sec_MGMT
# - Test-1-169_SG_Sec_MGMT
# bind_to:
# - Pytest-AMI-FMC
# cleanUP: True
#
# Pytest-AMI-FMC(AMICOPY):
# source-image-id: ami-06aac12eabffe610d
# source-region: us-east-2
# region: us-west-1
# name: fmcv
# action:
# cleanUP: True
# '''
# obj = aws(debug=True)
# atexit.register(obj.close)
#
# obj.load_deployment(content=cont)
# obj.start_deployment()
@pytest.mark.regASA
def test_reg_asa():
cont="""
Del_Test-1-169_TG_ASA(TERMINATION):
target-group-arn: Test-1-169-TG
targets: Id=Test-1-169_NWInterface_ASA
type: REGISTER
action:
query_from:
- Test-1-169-TG
- Test-1-169_NWInterface_ASA
Del_Test-1-169_TG_FTD(TERMINATION):
target-group-arn: Test-1-169-TG
targets: Id=Pytest_NWInterface_FTD1
type: REGISTER
action:
query_from:
- Test-1-169-TG
- Pytest_NWInterface_FTD1
Test-1-169_TG_Instance(REGISTER):
target-group-arn: Test-1-169-TG
targets: Id=Test-1-169_NWInterface_ASA
action:
query_from:
- Test-1-169-TG
- Test-1-169_NWInterface_ASA
bind_to:
- Del_Test-1-169_TG_FTD
- Del_Test-1-169_TG_ASA
cleanUP: True
"""
obj = aws(debug=True)
atexit.register(obj.close)
obj.load_deployment(content=cont)
obj.start_deployment()
@pytest.mark.regFTD
def test_reg_ftd():
cont = """
Del_Test-1-169_TG_ASA(TERMINATION):
target-group-arn: Test-1-169-TG
targets: Id=Test-1-169_NWInterface_ASA
type: REGISTER
action:
query_from:
- Test-1-169-TG
- Test-1-169_NWInterface_ASA
Del_Test-1-169_TG_FTD(TERMINATION):
target-group-arn: Test-1-169-TG
targets: Id=Pytest_NWInterface_FTD1
type: REGISTER
action:
query_from:
- Test-1-169-TG
- Pytest_NWInterface_FTD1
Test-1-169_TG_Instance(REGISTER):
target-group-arn: Test-1-169-TG
targets: Id=Pytest_NWInterface_FTD1
action:
query_from:
- Test-1-169-TG
- Pytest_NWInterface_FTD1
bind_to:
- Del_Test-1-169_TG_FTD
- Del_Test-1-169_TG_ASA
cleanUP: True
"""
obj = aws(debug=True)
atexit.register(obj.close)
obj.load_deployment(content=cont)
obj.start_deployment()
@pytest.mark.hackFTD
def test_ftd_backdoor(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
ftd_address = f"ssh -i 'testDog.pem' admin@{ftd_ip}"
ftd_hack(ftd_address)
cmd = "conf term"
res, cont = ftd_config(ftd_address, cmd)
assert "firepower(config)#" in cont
@pytest.mark.FMCreg
def test_fmc_reg(local_run):
# def test_fmc_reg():
from selenium import webdriver
from selenium.webdriver.common.by import By
#need to manually ssh login FMCv first, which help to setup admin/Cisco123!@# (default one:Cisco@13)
timer = 5
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
# fmc_ip = "52.53.155.170"
driver = webdriver.Chrome("/Users/yijunzhu/PycharmProjects/iTest/Geneve/chromedriver")
try:
driver.get(f"https://{fmc_ip}/ui/login")
driver.find_element(By.ID, "details-button").click()
driver.find_element(By.ID, "proceed-link").click()
except:
pass
time.sleep(timer)# wait, otherwise can't find bd-2
driver.get(f"https://{fmc_ip}/ui/login")
driver.find_element(By.ID, "bd-2").send_keys("admin")
driver.find_element(By.ID, "bd-5").send_keys("Cisco123!@#")
driver.find_element(By.CSS_SELECTOR, ".atomic-btn").click()
time.sleep(timer)
try:
driver.find_element(By.CSS_SELECTOR, ".atomic-btn:nth-child(2)").click()
except:
pass
time.sleep(timer)
driver.find_element(By.LINK_TEXT, "Devices").click()
time.sleep(timer)
driver.find_element(By.LINK_TEXT, "Device Management").click()
time.sleep(timer)
driver.find_element(By.CSS_SELECTOR, "#gwt-debug-device_management-add_dropdown-add .x-btn-text").click()
driver.find_element(By.ID, "gwt-debug-device_management-device-add").click()
time.sleep(timer)
driver.find_element(By.ID, "gwt-debug-device_registration-host-text_field-input").send_keys("20.0.250.12")
driver.find_element(By.ID, "gwt-debug-device_registration-display_name-text_field-input").click()
driver.find_element(By.ID, "gwt-debug-device_registration-registration_key-text_field-input").send_keys("cisco")
driver.find_element(By.ID, "gwt-debug-device_registration-access_control_policy-combobox-input").click()
time.sleep(timer)
driver.find_element(By.XPATH, '//div[text()="default_yijun"]').click()
driver.find_element(By.ID, "gwt-debug-device_registration-license_tiers-combobox-input").click()
time.sleep(timer)
driver.find_element(By.XPATH, '//div[text()="FTDv20 - Tiered (Core 4 / 8 GB)"]').click()
time.sleep(timer)
check1 = driver.find_element(By.XPATH, '//fieldset[@class=" x-fieldset x-component"]//label[text()="Malware"]')
check2 = driver.find_element(By.XPATH, '//fieldset[@class=" x-fieldset x-component"]//label[text()="Threat"]')
check3 = driver.find_element(By.XPATH, '//fieldset[@class=" x-fieldset x-component"]//label[text()="URL Filtering"]')
check1_id = str(check1.get_attribute("htmlfor"))
check2_id = str(check2.get_attribute("htmlfor"))
check3_id = str(check3.get_attribute("htmlfor"))
driver.find_element(By.ID, check1_id).click()
driver.find_element(By.ID, check2_id).click()
driver.find_element(By.ID, check3_id).click()
time.sleep(timer)
driver.find_element(By.CSS_SELECTOR, "#gwt-debug-device_registration-register-button .x-btn-text").click()
time.sleep(5)
@pytest.mark.FTDconfig
def test_ftd_config(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
ftd_address = f"ssh -i 'testDog.pem' admin@{ftd_ip}"
load_ftd_config(ftd_address, debug=False)
@pytest.mark.geneveFTD
@pytest.mark.FTDmetaserver
@pytest.mark.FTDbasic1to2
def test_Basic_PingGoogle_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
# test_reg_ftd()
# print('WAIT for FTD register', wait(90))
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
while True:
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'ping 8.8.8.8 -c 1'")
stdout.channel.recv_exit_status()
resp1 = "".join(stdout.readlines())
if not resp1:
continue
else:
break
assert "0% packet loss" in resp1
ssh.close()
@pytest.mark.geneveFTD
@pytest.mark.FTDbasic2to1
def test_Basic_PingApp_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
while True:
_, stdout, _ = ssh.exec_command(f"ping {app_ip} -c 1")
stdout.channel.recv_exit_status()
resp1 = "".join(stdout.readlines())
if not resp1:
continue
else:
break
assert "0% packet loss" in resp1
ssh.close()
@pytest.mark.geneveFTD
@pytest.mark.FTDinstall1to2
def test_apt_install_from_outside_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
while True:
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'sudo apt install net-tools'")
stdout.channel.recv_exit_status()
resp1 = "".join(stdout.readlines())
if not resp1:
continue
else:
break
while True:
_, stdout2, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'ifconfig'")
stdout2.channel.recv_exit_status()
resp2 = "".join(stdout2.readlines())
if not resp2:
continue
else:
break
assert "10.0.1.101" in resp2
ssh.close()
@pytest.mark.geneveFTD
@pytest.mark.FTDinstall2to1
def test_apt_install_from_inside_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
while True:
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'sudo apt update'")
stdout.channel.recv_exit_status()
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'sudo apt install iperf -y'")
stdout.channel.recv_exit_status()
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'sudo apt install apache2 -y'")
stdout.channel.recv_exit_status()
resp1 = "".join(stdout.readlines())
if not resp1:
continue
else:
break
while True:
_, stdout2, _ = ssh.exec_command(f"wget http://{app_ip}/index.html; ls index.html")
stdout2.channel.recv_exit_status()
resp2 = "".join(stdout2.readlines())
if not resp2:
continue
else:
break
assert "No such file or directory" not in resp2
ssh.close()
@pytest.mark.geneveFTD
@pytest.mark.FTDtcp1to2
def test_TCP23_from_outside_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
# 1. transfer server file
cmd1 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"Pytest_server.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd2).read()
# 2. run server file
cmd_k = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo pkill python3\''"
os.popen(cmd_k).read()
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo screen -d -m sudo python3 Pytest_server.py\''"
os.popen(cmd3).read()
# 3. test
test = f"""
import socket
s=socket.socket()
s.connect(("{app_ip}",23))
s.send("Yijun is coming".encode())
msg = s.recv(1024)
print(msg)
"""
with open("test.py", "w+") as f:
f.write(test)
cmd4 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"test.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd4).read()
cmd5 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill python3;python3 test.py'"
resp = os.popen(cmd5).read()
assert "[Pytest]TCP:23 is back!" in resp
# # terminate server
cmd6 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo rm -rf test.py'"
os.popen(cmd6).read()
cmd7 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo pkill python3\''"
os.popen(cmd7).read()
@pytest.mark.geneveFTD
@pytest.mark.FTDtcp2to1
def test_TCP23_from_inside_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
# 1. transfer server file
cmd1 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"Pytest_server.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd2).read()
# 2. run server file
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill python3;sudo screen -d -m sudo python3 Pytest_server.py'"
os.popen(cmd3).read()
# 3. test
test = f"""
import socket
s=socket.socket()
s.connect(("{app_jb_ip}",23))
s.send("Yijun is coming".encode())
msg = s.recv(1024)
print(msg)
"""
with open("test.py", "w+") as f:
f.write(test)
cmd4 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"test.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd4).read()
cmd4_2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"test.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd4_2).read()
cmd5 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo pkill python3;python3 test.py\''"
resp = os.popen(cmd5).read()
assert "[Pytest]TCP:23 is back!" in resp
# # terminate server
cmd6 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo rm -rf test.py'"
os.popen(cmd6).read()
cmd6_2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo rm -rf test.py\''"
os.popen(cmd6_2).read()
cmd7 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill python3'"
os.popen(cmd7).read()
@pytest.mark.geneveFTD
@pytest.mark.FTDudpYijun
def test_UDP666_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
# 1. transfer server file
cmd1 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"Pytest_server.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd2).read()
# 2. run server file
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo screen -d -m sudo python3 Pytest_server.py\''"
os.popen(cmd3).read()
# 3. test
test = f"""
import socket
s=socket.socket(family=socket.AF_INET, type=socket.SOCK_DGRAM)
s.sendto("Yijun is coming".encode(), ("{app_ip}", 666))
msg = s.recvfrom(1024)
print(msg[0])
"""
with open("test.py", "w+") as f:
f.write(test)
cmd4 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"test.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd4).read()
cmd5 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo python3 test.py'"
resp = os.popen(cmd5).read()
assert "[Pytest]UDP:666 is back!" in resp
# # terminate server
cmd6 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo rm -rf test.py'"
os.popen(cmd6).read()
cmd7 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo pkill python3\''"
os.popen(cmd7).read()
@pytest.mark.geneveFTD
@pytest.mark.FTDudp1to2
def test_UDP_from_inside_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
# 1. transfer server file
cmd1 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"Pytest_server.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd2).read()
# 2. run server file
cmd_k = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo pkill python3\''"
os.popen(cmd_k).read()
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo screen -d -m sudo python3 Pytest_server.py\''"
os.popen(cmd3).read()
# 3. test
test = f"""
import socket
s=socket.socket(family=socket.AF_INET, type=socket.SOCK_DGRAM)
s.sendto("Yijun is coming".encode(), ("{app_ip}", 666))
msg = s.recvfrom(1024)
print(msg[0])
"""
with open("test.py", "w+") as f:
f.write(test)
cmd4 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"test.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd4).read()
cmd5 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill python3;python3 test.py'"
resp = os.popen(cmd5).read()
assert "[Pytest]UDP:666 is back!" in resp
# # terminate server
cmd6 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo rm -rf test.py'"
os.popen(cmd6).read()
cmd7 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo pkill python3\''"
os.popen(cmd7).read()
@pytest.mark.geneveFTD
@pytest.mark.FTDudp2to1
def test_UDP_from_outside_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
# 1. transfer server file
cmd1 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"Pytest_server.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"Pytest_server.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd2).read()
# 2. run server file
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill python3;sudo screen -d -m sudo python3 Pytest_server.py'"
os.popen(cmd3).read()
# 3. test
test = f"""
import socket
s=socket.socket(family=socket.AF_INET, type=socket.SOCK_DGRAM)
s.sendto("Yijun is coming".encode(), ("{app_jb_ip}", 666))
msg = s.recvfrom(1024)
print(msg[0])
"""
with open("test.py", "w+") as f:
f.write(test)
cmd4 = "scp -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"test.py ubuntu@{app_jb_ip}:/home/ubuntu/."
os.popen(cmd4).read()
cmd4_2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'scp -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"test.py ubuntu@10.0.1.101:/home/ubuntu/.'"
os.popen(cmd4_2).read()
cmd5 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo python3 test.py; pkill python3\''"
resp = os.popen(cmd5).read()
assert "[Pytest]UDP:666 is back!" in resp
# # terminate server
cmd6 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo rm -rf test.py'"
os.popen(cmd6).read()
cmd6_2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
"ubuntu@10.0.1.101 \'sudo rm -rf test.py\''"
os.popen(cmd6_2).read()
cmd7 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill python3'"
os.popen(cmd7).read()
@pytest.mark.geneveFTD
@pytest.mark.FTDiperfudp
def test_iperf_udp_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
cmd1 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo screen -d -m sudo iperf -s -u'"
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo iperf -c {app_jb_ip} -u\''"
res = os.popen(cmd2).read()
bd = re.compile(" ([\d.]+?) (?=MBytes)").findall(res)[0]
assert float(bd) > 0
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill iperf'"
os.popen(cmd3).read()
@pytest.mark.geneveFTD
@pytest.mark.FTDiperfudpreverse
def test_iperf_udp_reverse_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
cmd1 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo screen -d -m sudo iperf -s -u\''"
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo iperf -c {app_ip} -u;'"
res = os.popen(cmd2).read()
print("Iperf result:\n", res)
bd = re.compile(" ([\d.]+?) (?=MBytes)").findall(res)[0]
assert float(bd) > 0
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo pkill iperf\''"
os.popen(cmd3).read()
@pytest.mark.geneveFTD
@pytest.mark.FTDiperftcp
def test_iperf_tcp_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
cmd1 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo screen -d -m sudo iperf -s'"
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo iperf -c {app_jb_ip}\''"
res = os.popen(cmd2).read()
print(res)
try:
bd = re.compile(" ([\d.]+?) (?=MBytes)").findall(res)[0]
except:
bd = re.compile(" ([\d.]+?) (?=GBytes)").findall(res)[0]
assert float(bd) > 0
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo pkill iperf'"
os.popen(cmd3).read()
@pytest.mark.geneveFTD
@pytest.mark.FTDiperftcpreverse
def test_iperf_tcp_reverse_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
cmd1 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo screen -d -m sudo iperf -s\''"
os.popen(cmd1).read()
cmd2 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'sudo iperf -c {app_ip}'"
res = os.popen(cmd2).read()
print("Iperf result:\n", res)
try:
bd = re.compile(" ([\d.]+?) (?=MBytes)").findall(res)[0]
except:
bd = re.compile(" ([\d.]+?) (?=GBytes)").findall(res)[0]
assert float(bd) > 0
cmd3 = "ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo pkill iperf\''"
os.popen(cmd3).read()
@pytest.mark.geneveFTD
@pytest.mark.FTDcounter
def test_udp_counter_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
cmd1 = "clear asp drop"
cmd2 = "show asp drop frame geneve-invalid-udp-checksum"
ftd_address = f"ssh -i 'testDog.pem' admin@{ftd_ip}"
ftd_config(ftd_address, cmd1)
send(IP(dst="20.0.1.102") / UDP(sport=20001, dport=6081, chksum=0) / b'\x08\x00\x08')
_, res = ftd_config(ftd_address, cmd2)
assert "geneve-invalid-udp-checksum" in res
@pytest.mark.geneveFTD
@pytest.mark.FTDreset
def test_tcp_counter_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
cmd = f"ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo screen -d -m ssh root@{asa_jb_ip}\''"
os.popen(cmd).read()
cmd2 = "clear conn address 10.0.1.101"
cmd3 = "show asp drop"
cmd1 = "clear asp drop"
ftd_address = f"ssh -i 'testDog.pem' admin@{ftd_ip}"
ftd_config(ftd_address, cmd1)
ftd_config(ftd_address, cmd2)
cmd = f"ssh -i 'testDog.pem' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@{app_jb_ip} 'ssh -i \'testDog.pem\' -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"ubuntu@10.0.1.101 \'sudo pkill screen\''"
os.popen(cmd).read()
_, res = ftd_config(ftd_address, cmd3)
assert "tcp-not-syn" in res
@pytest.mark.geneveFTD
@pytest.mark.FTDlogserver
def test_log_server_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
config = '''
logging enable
logging buffer-size 52428800
logging buffered debugging
logging trap debugging
logging host data-interface 20.0.1.10
logging message 302020
'''
ftd_address = f"ssh -i 'testDog.pem' admin@{ftd_ip}"
ftd_config(ftd_address, config)
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh2 = paramiko.SSHClient()
ssh2.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(app_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
ssh2.connect(asa_jb_ip, username='ubuntu', password='', key_filename="testDog.pem")
_, stdout, _ = ssh2.exec_command("sudo ifconfig eth1 down;sudo ifconfig eth1 20.0.1.10/24;sudo ifconfig eth1 up")
stdout.channel.recv_exit_status()
while True:
_, stdout, _ = ssh.exec_command("ssh -i 'testDog.pem' -o StrictHostKeyChecking=no "
"-o UserKnownHostsFile=/dev/null ubuntu@10.0.1.101 'ping 8.8.8.8 -c 10'")
stdout.channel.recv_exit_status()
resp1 = "".join(stdout.readlines())
if not resp1:
continue
else:
break
assert "0% packet loss" in resp1
_, stdout, _ = ssh2.exec_command("sudo systemctl restart syslog")
stdout.channel.recv_exit_status()
while True:
_, stdout, _ = ssh2.exec_command("tail -n 100 /var/log/syslog")
stdout.channel.recv_exit_status()
resp2 = "".join(stdout.readlines())
if not resp2:
continue
else:
break
assert "8.8.8.8" in resp2
ssh.close()
ssh2.close()
@pytest.mark.geneveFTD
@pytest.mark.FTDgenevedebug
def test_debug_geneve_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
cmd1 = "debug geneve encapsulation"
cmd2 = "debug geneve encapsulation 4"
cmd3 = "debug geneve decapsulation"
cmd4 = "debug geneve decapsulation 4"
cmd5 = "debug geneve all"
cmd_clean = "unde all"
cmd_show = "show debug"
ftd_address = f"ssh -i 'testDog.pem' admin@{ftd_ip}"
import pexpect
conn = pexpect.spawn(ftd_address)
Ocean_reply(conn)
go2ftd(conn)
conn.sendline("en")
Ocean_reply(conn)
conn.sendline(cmd_clean)
Ocean_reply(conn)
conn.sendline(cmd_show)
_, _, res = Ocean_reply(conn)
assert "debug geneve" not in res
conn.sendline(cmd_clean)
Ocean_reply(conn)
conn.sendline(cmd1)
Ocean_reply(conn)
conn.sendline(cmd_show)
_, _, res = Ocean_reply(conn)
assert "debug geneve encapsulation enabled at level 1" in res
conn.sendline(cmd_clean)
Ocean_reply(conn)
conn.sendline(cmd2)
Ocean_reply(conn)
conn.sendline(cmd_show)
_, _, res = Ocean_reply(conn)
assert "debug geneve encapsulation enabled at level 4" in res
conn.sendline(cmd_clean)
Ocean_reply(conn)
conn.sendline(cmd3)
Ocean_reply(conn)
conn.sendline(cmd_show)
_, _, res = Ocean_reply(conn)
assert "debug geneve decapsulation enabled at level 1" in res
conn.sendline(cmd_clean)
Ocean_reply(conn)
conn.sendline(cmd4)
Ocean_reply(conn)
conn.sendline(cmd_show)
_, _, res = Ocean_reply(conn)
assert "debug geneve decapsulation enabled at level 4" in res
conn.sendline(cmd_clean)
Ocean_reply(conn)
conn.sendline(cmd5)
Ocean_reply(conn)
conn.sendline(cmd_show)
_, _, res = Ocean_reply(conn)
assert "debug geneve encapsulation enabled at level 1" in res
assert "debug geneve decapsulation enabled at level 1" in res
conn.sendline(cmd_clean)
Ocean_reply(conn)
conn.sendline(cmd_show)
_, _, res = Ocean_reply(conn)
assert "debug geneve" not in res
conn.close()
del conn
@pytest.mark.geneveFTD
@pytest.mark.FTDstatistics
def test_stats_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
cmd1 = "show interface vni 1"
cmd2 = "show nve 1"
ftd_address = f"ssh -i 'testDog.pem' admin@{ftd_ip}"
_, cont1_1 = ftd_config(ftd_address, cmd1)
_, cont2_1 = ftd_config(ftd_address, cmd2)
p1 = "(.*) packets input"
p2 = "(.*) packets output"
output_cmd1_1 = int(re.compile(p1).findall(cont1_1)[0])
output_cmd2_1 = int(re.compile(p2).findall(cont2_1)[0])
test_Basic_PingGoogle_FTD(local_run)
_, cont1_2 = ftd_config(ftd_address, cmd1)
_, cont2_2 = ftd_config(ftd_address, cmd2)
output_cmd1_2 = int(re.compile(p1).findall(cont1_2)[0])
output_cmd2_2 = int(re.compile(p2).findall(cont2_2)[0])
assert output_cmd1_2 > output_cmd1_1
assert output_cmd2_2 > output_cmd2_1
@pytest.mark.geneveFTD
@pytest.mark.FTDcapture
def test_capture_FTD(local_run):
app_jb_ip, asa_jb_ip, asa_ip, app_ip, ftd_ip, fmc_ip = local_run
cmd0 = "no capture g"
cmd1 = "clear cap /all"
cmd2 = "cap g int ge trace"
cmd3 = "show capture g | in icmp: echo request"
ftd_address = f"ssh -i 'testDog.pem' admin@{ftd_ip}"
ftd_config(ftd_address, cmd0)
ftd_config(ftd_address, cmd1)
ftd_config(ftd_address, cmd2)
test_Basic_PingGoogle_FTD(local_run)
time.sleep(1)
_, cont3 = ftd_config(ftd_address, cmd3)
pNum = int(re.compile("\d+: ").findall(cont3)[0].strip().split(":")[0])
cmd4 = f"show capture g trace packet-number {pNum} | in Action:"
cmd5 = "no capture g"
_, cont4 = ftd_config(ftd_address, cmd4)
assert "Action: allow" in cont4
ftd_config(ftd_address, cmd5)
@pytest.mark.updowngrade
def test_image_replacement(keyFile, trs):
print("keyFile::", keyFile)
print("Debug::", trs)
obj = aws(record=False)
res1 = obj.blind("Test-1-169-EC2-ASA", "EC2INSTANCE")
res2 = res = obj.blind("Test-1-169-EC2-ASA-JB", "EC2INSTANCE")
# backup config in ASA
cmd = "show run"
asa_address = f"ssh -i 'testDog.pem' admin@{res1['public_ip']}"
old_config = asa_config(asa_address, cmd)
assert old_config != ""
# transfer image to asa
new_image = "geneve_new.smp"
command = f"scp -i {keyFile} -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null " \
f"{new_image} ubuntu@{res2['public_ip']}:/var/www/html/."
timer("start")
os.popen(command).read()
timer("stop")
import pexpect
debug = trs
conn = pexpect.spawn(asa_address)
conn, result, cont = Geneve_reply(conn)
conn.sendline("en")
conn, result, cont = Geneve_reply(conn)
print("debug:start copy")
conn.sendline("copy http://20.0.250.10/geneve_new.smp disk0:/geneve_new.smp")
conn, result, cont = Geneve_reply(conn, timeout=120, debug=debug)
print("debug:end copy")
# print old version
conn.sendline("show version")
conn, result, cont = Geneve_reply(conn, timeout=120, debug=debug)
print("Old Version::", cont)
# reload asa
conn.sendline("boot system disk0:/geneve_new.smp")
conn, result, cont = Geneve_reply(conn)
conn.sendline("reload")
conn, result, cont = Geneve_reply(conn, debug=debug)
print('WAITED', wait(600))
conn.close();
del conn
# print new version
conn = pexpect.spawn(asa_address)
conn, result, cont = Geneve_reply(conn)
conn.sendline("en")
conn, result, cont = Geneve_reply(conn)
conn.sendline("show version")
conn, result, cont = Geneve_reply(conn, timeout=120, debug=debug)
print("New Version::", cont)
# config is same as before/after
cmd = "show run"
asa_address = f"ssh -i 'testDog.pem' admin@{res['public_ip']}"
new_config = asa_config(asa_address, cmd)
temp = new_config.replace("geneve_new.smp", "geneve.smp")
assert temp == old_config
pass
if __name__ == '__main__':
pytest.main(["-q", "-s", "-ra", "test_geneve.py"])
# capture abc interface data-interface
# show capture abc packet-number 18 detail decode
#
# copy /pcap capture:abc abc.pcap
#
# copy disk0:/abc.pcap scp://root@1.2.3.4:/home/ubuntu/.
#######################
# access-list geneve extended permit icmp host 3.101.116.24 host 10.0.1.101
# access-list geneve extended permit tcp host 3.101.116.24 host 10.0.1.101
# access-list geneve extended permit udp host 3.101.116.24 host 10.0.1.101
#######################
# direct vs roundway
# aaa authentication listener http data-interface port www
# ~~~~exclusive~~~~
# object network gwlb-net
# subnet 20.0.1.0 255.255.255.0
#
# object-group network gwlb
# network-object object gwlb-net
#
# object-group network metadata
# network-object host 20.0.1.10
#
# object service http80
# service tcp destination eq www
#
# nat (data-interface,data-interface) source static gwlb interface destination static interface metadata service http80 http80
#
| 33.198013 | 137 | 0.662042 | 14,472 | 100,258 | 4.397043 | 0.045882 | 0.016029 | 0.037511 | 0.073467 | 0.908618 | 0.888927 | 0.867917 | 0.854763 | 0.834302 | 0.823223 | 0 | 0.037626 | 0.200762 | 100,258 | 3,019 | 138 | 33.20901 | 0.756508 | 0.080682 | 0 | 0.801768 | 0 | 0.040949 | 0.50116 | 0.201163 | 0 | 0 | 0 | 0 | 0.030247 | 1 | 0.029316 | false | 0.008841 | 0.018613 | 0 | 0.049791 | 0.014891 | 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 |
7f2d634c3cb024afde0fdde686ce6aac37b32af2 | 126 | py | Python | delphi/utils/__init__.py | mikiec84/delphi | 2e517f21e76e334c7dfb14325d25879ddf26d10d | [
"Apache-2.0"
] | 25 | 2018-03-03T11:57:57.000Z | 2022-01-16T21:19:54.000Z | delphi/utils/__init__.py | mikiec84/delphi | 2e517f21e76e334c7dfb14325d25879ddf26d10d | [
"Apache-2.0"
] | 385 | 2018-02-21T16:52:06.000Z | 2022-02-17T07:44:56.000Z | delphi/utils/__init__.py | mikiec84/delphi | 2e517f21e76e334c7dfb14325d25879ddf26d10d | [
"Apache-2.0"
] | 19 | 2018-03-20T01:08:11.000Z | 2021-09-29T01:04:49.000Z | from delphi.utils.fp import *
from delphi.utils.web import *
from delphi.utils.shell import *
from delphi.utils.misc import *
| 25.2 | 32 | 0.777778 | 20 | 126 | 4.9 | 0.4 | 0.408163 | 0.612245 | 0.642857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.126984 | 126 | 4 | 33 | 31.5 | 0.890909 | 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 |
7f7bc98efc6c3ca51152633804861870022f31d3 | 4,569 | py | Python | prediction_service/generate_economic_indicator.py | CheranMahalingam/Forex_Sentiment_Analysis | 3c5d91d21bd908e6bc0585c50583fa9f0bd4939c | [
"MIT"
] | 6 | 2021-05-16T22:04:53.000Z | 2022-02-02T16:45:01.000Z | prediction_service/generate_economic_indicator.py | bytjn1416124/Forex_Technical_Analysis_Platform | 3c5d91d21bd908e6bc0585c50583fa9f0bd4939c | [
"MIT"
] | null | null | null | prediction_service/generate_economic_indicator.py | bytjn1416124/Forex_Technical_Analysis_Platform | 3c5d91d21bd908e6bc0585c50583fa9f0bd4939c | [
"MIT"
] | 6 | 2021-04-27T04:30:42.000Z | 2022-02-06T08:46:25.000Z | from fred import Fred
from dotenv import load_dotenv
import os
import series_id_defs
load_dotenv()
fr = Fred(api_key=os.getenv("FRED_API_KEY"), response_type="json")
def generate_interest_rate(start_date, country):
params = {
"observation_start": start_date,
}
indicator_data = {}
if country == "Switzerland":
indicator_data = fr.series.observations(series_id_defs.SWITZERLAND["interest_rate_id"], params=params)
elif country == "Euro":
indicator_data = fr.series.observations(series_id_defs.EURO["interest_rate_id"], params=params)
elif country == "Canada":
indicator_data = fr.series.observations(series_id_defs.CANADA["interest_rate_id"], params=params)
elif country == "USA":
indicator_data = fr.series.observations(series_id_defs.USA["interest_rate_id"], params=params)
elif country == "Australia":
indicator_data = fr.series.observations(series_id_defs.AUSTRALIA["interest_rate_id"], params=params)
elif country == "Japan":
indicator_data = fr.series.observations(series_id_defs.JAPAN["interest_rate_id"], params=params)
elif country == "UK":
indicator_data = fr.series.observations(series_id_defs.UK["interest_rate_id"], params=params)
elif country == "New Zealand":
indicator_data = fr.series.observations(series_id_defs.NEW_ZEALAND["interest_rate_id"], params=params)
else:
raise Exception("No interest rate data for", country)
interest_rate = []
new_observations = indicator_data["observations"]
for i in range(len(new_observations)):
interest_rate.append({"date": new_observations[i]["date"], "value": new_observations[i]["value"]})
return interest_rate
def generate_cpi(start_date, country):
params = {
"observation_start": start_date,
}
indicator_data = {}
if country == "Switzerland":
indicator_data = fr.series.observations(series_id_defs.SWITZERLAND["cpi_id"], params=params)
elif country == "Euro":
indicator_data = fr.series.observations(series_id_defs.EURO["cpi_id"], params=params)
elif country == "Canada":
indicator_data = fr.series.observations(series_id_defs.CANADA["cpi_id"], params=params)
elif country == "USA":
indicator_data = fr.series.observations(series_id_defs.USA["cpi_id"], params=params)
elif country == "Australia":
indicator_data = fr.series.observations(series_id_defs.AUSTRALIA["cpi_id"], params=params)
elif country == "Japan":
indicator_data = fr.series.observations(series_id_defs.JAPAN["cpi_id"], params=params)
elif country == "UK":
indicator_data = fr.series.observations(series_id_defs.UK["cpi_id"], params=params)
elif country == "New Zealand":
indicator_data = fr.series.observations(series_id_defs.NEW_ZEALAND["cpi_id"], params=params)
else:
raise Exception("No cpi data for", country)
cpi = []
new_observations = indicator_data["observations"]
for i in range(len(new_observations)):
cpi.append({"date": new_observations[i]["date"], "value": new_observations[i]["value"]})
return cpi
def generate_gdp(start_date, country):
params = {
"observation_start": start_date,
}
indicator_data = {}
if country == "Switzerland":
indicator_data = fr.series.observations(series_id_defs.SWITZERLAND["gdp_id"], params=params)
elif country == "Euro":
indicator_data = fr.series.observations(series_id_defs.EURO["gdp_id"], params=params)
elif country == "Canada":
indicator_data = fr.series.observations(series_id_defs.CANADA["gdp_id"], params=params)
elif country == "USA":
indicator_data = fr.series.observations(series_id_defs.USA["gdp_id"], params=params)
elif country == "Australia":
indicator_data = fr.series.observations(series_id_defs.AUSTRALIA["gdp_id"], params=params)
elif country == "Japan":
indicator_data = fr.series.observations(series_id_defs.JAPAN["gdp_id"], params=params)
elif country == "UK":
indicator_data = fr.series.observations(series_id_defs.UK["gdp_id"], params=params)
elif country == "New Zealand":
indicator_data = fr.series.observations(series_id_defs.NEW_ZEALAND["gdp_id"], params=params)
else:
raise Exception("No gdp data for", country)
gdp = []
new_observations = indicator_data["observations"]
for i in range(len(new_observations)):
gdp.append({"date": new_observations[i]["date"], "value": new_observations[i]["value"]})
return gdp
| 45.237624 | 110 | 0.698402 | 576 | 4,569 | 5.28125 | 0.092014 | 0.128205 | 0.098619 | 0.16568 | 0.902367 | 0.898422 | 0.884615 | 0.823471 | 0.823471 | 0.823471 | 0 | 0 | 0.171591 | 4,569 | 100 | 111 | 45.69 | 0.803699 | 0 | 0 | 0.466667 | 1 | 0 | 0.128912 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.044444 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
7f893156fbd05cb994570d84dd9cdc79907e9f89 | 110 | py | Python | ecpy/__init__.py | andynuma/time-release-encryption-py3 | a5c48d07fae8121b59100d4cd79d3e38402d928c | [
"MIT"
] | 48 | 2016-03-30T07:20:49.000Z | 2022-01-27T10:48:43.000Z | ecpy/__init__.py | andynuma/time-release-encryption-py3 | a5c48d07fae8121b59100d4cd79d3e38402d928c | [
"MIT"
] | 11 | 2017-03-26T11:03:20.000Z | 2021-06-01T15:54:03.000Z | ecpy/__init__.py | andynuma/time-release-encryption-py3 | a5c48d07fae8121b59100d4cd79d3e38402d928c | [
"MIT"
] | 12 | 2016-06-05T19:09:26.000Z | 2021-04-18T04:23:20.000Z | from ecpy.fields import *
from ecpy.elliptic_curve import *
from ecpy.utils import *
from ecpy.rings import *
| 22 | 33 | 0.781818 | 17 | 110 | 5 | 0.470588 | 0.376471 | 0.494118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.145455 | 110 | 4 | 34 | 27.5 | 0.904255 | 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 |
f69d35bf23fb4259666188959b775d321fd9ec50 | 24,865 | py | Python | 111.py | uburok/megalohobot | 452421af0c3ee17fce0ad565ff72cb281da55e1a | [
"MIT"
] | 1 | 2022-02-15T10:17:36.000Z | 2022-02-15T10:17:36.000Z | 111.py | uburok/megalohobot | 452421af0c3ee17fce0ad565ff72cb281da55e1a | [
"MIT"
] | null | null | null | 111.py | uburok/megalohobot | 452421af0c3ee17fce0ad565ff72cb281da55e1a | [
"MIT"
] | null | null | null | mes = {'update_id': 895937467,
'message': {'message_id': 19033, 'date': 1618345328,
'chat': {'id': -1001165785711, 'type': 'supergroup', 'title': '🅐🅝🅤🅢 - беспредел пипидино'},
'text': '/say Вартас молодец', 'entities':
[{'type': 'bot_command', 'offset': 0, 'length': 4},
{'type': 'text_mention', 'offset': 5, 'length': 6, 'user': {'id': 1346238115, 'first_name': 'Vartas', 'is_bot': False}}],
'caption_entities': [], 'photo': [], 'new_chat_members': [], 'new_chat_photo': [], 'delete_chat_photo': False,
'group_chat_created': False, 'supergroup_chat_created': False, 'channel_chat_created': False,
'from': {'id': 52351769, 'first_name': 'Andrey', 'is_bot': False, 'last_name': 'Burmistrov', 'username': 'aburmistrov', 'language_code': 'ru'}}}
private = {'id': 52351769, 'type': 'private', 'title': None, 'username': 'aburmistrov', 'first_name': 'Andrey',
'last_name': 'Burmistrov',
'photo': {'small_file_id': 'AQADAgADt6cxGxnTHgMACQ2DKgAEAgADGdMeAwAE4ea1OK4VaCV41gEAAR4E',
'small_file_unique_id': 'AQAEDYMqAAR41gEAAQ',
'big_file_id': 'AQADAgADt6cxGxnTHgMACQ2DKgAEAwADGdMeAwAE4ea1OK4VaCV61gEAAR4E',
'big_file_unique_id': 'AQAEDYMqAAR61gEAAQ'}, 'bio': None, 'description': None,
'invite_link': None, 'pinned_message': None, 'permissions': None, 'slow_mode_delay': None,
'sticker_set_name': None,
'can_set_sticker_set': None, 'linked_chat_id': None, 'location': None}
chat = {'id': -1001165785711, 'type': 'supergroup', 'title': '🅐🅝🅤🅢 - беспредел пипидино', 'username': None,
'first_name': None, 'last_name': None,
'photo': {'small_file_id': 'AQADAgATNR8imy4AAwIAA5F13uUW____s5iYCA7I0kHtSwMAAR4E',
'small_file_unique_id': 'AQADNR8imy4AA-1LAwAB',
'big_file_id': 'AQADAgATNR8imy4AAwMAA5F13uUW____s5iYCA7I0kHvSwMAAR4E',
'big_file_unique_id': 'AQADNR8imy4AA-9LAwAB'}, 'bio': None, 'description': None,
'invite_link': 'https://t.me/joinchat/VDeyY7m4JtAxOGYy',
'pinned_message': None,
'permissions': None, 'slow_mode_delay': 3600,
'sticker_set_name': None,
'can_set_sticker_set': None, 'linked_chat_id': None, 'location': None}
###########################
{'content_type': 'text', 'id': 16953, 'message_id': 16953,
'from_user': {'id': 52351769, 'is_bot': False, 'first_name': 'Andrey', 'username': 'aburmistrov',
'last_name': 'Burmistrov', 'language_code': 'ru', 'can_join_groups': None,
'can_read_all_group_messages': None, 'supports_inline_queries': None}, 'date': 1616950940,
'chat': {'id': -1001165785711, 'type': 'supergroup', 'title': '🅐🅝🅤🅢 - беспредел пипидино', 'username': None,
'first_name': None, 'last_name': None, 'photo': None, 'bio': None, 'description': None, 'invite_link': None,
'pinned_message': None, 'permissions': None, 'slow_mode_delay': None, 'sticker_set_name': None,
'can_set_sticker_set': None, 'linked_chat_id': None, 'location': None}, 'forward_from': None,
'forward_from_chat': None, 'forward_from_message_id': None, 'forward_signature': None, 'forward_sender_name': None,
'forward_date': None, 'reply_to_message': None, 'edit_date': None, 'media_group_id': None, 'author_signature': None,
'text': 'Вартас пёс (тест)',
'entities': [ < telebot.types.MessageEntity object at 0x000001E6694EBD60 >], 'caption_entities': None, 'audio': None, 'document': None, 'photo': None, 'sticker': None, 'video': None, 'video_note': None, 'voice': None, 'caption': None, 'contact': None, 'location': None, 'venue': None, 'animation': None, 'dice': None, 'new_chat_member': None, 'new_chat_members': None, 'left_chat_member': None, 'new_chat_title': None, 'new_chat_photo': None, 'delete_chat_photo': None, 'group_chat_created': None, 'supergroup_chat_created': None, 'channel_chat_created': None, 'migrate_to_chat_id': None, 'migrate_from_chat_id': None, 'pinned_message': None, 'invoice': None, 'successful_payment': None, 'connected_website': None, 'reply_markup': None, 'json': {
'message_id': 16953, 'from': {'id': 52351769, 'is_bot': False, 'first_name': 'Andrey', 'last_name': 'Burmistrov',
'username': 'aburmistrov', 'language_code': 'ru'},
'chat': {'id': -1001165785711, 'title': '🅐🅝🅤🅢 - беспредел пипидино', 'type': 'supergroup'}, 'date': 1616950940,
'text': 'Вартас пёс (тест)', 'entities': [{'offset': 0, 'length': 6, 'type': 'text_mention',
'user': {'id': 1346238115, 'is_bot': False, 'first_name': 'Vartas'}}]}}
##########################
user = {'user': {'id': 1775365464, 'is_bot': True, 'first_name': 'megalohobot', 'username': 'megalohobot',
'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': False, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 889248, 'is_bot': False, 'first_name': 'Karkyshka', 'username': 'Karkyshka', 'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': False, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 1577503305, 'is_bot': False, 'first_name': 'Zeborka', 'username': None, 'last_name': 'Zeborka',
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {
'user': {'id': 1057783333, 'is_bot': False, 'first_name': 'Ush', 'username': 'A_Ushakoff', 'last_name': 'Aleksey',
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': 'Админ',
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 1560745599, 'is_bot': False, 'first_name': 'Иван', 'username': None, 'last_name': 'Аккуратов',
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': 'Burning Man',
'can_be_edited': False, 'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True,
'can_restrict_members': True, 'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True,
'can_pin_messages': True, 'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None,
'can_send_polls': None, 'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 1539854471, 'is_bot': False, 'first_name': 'Maxim', 'username': None, 'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': 'Шарик',
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 1599686606, 'is_bot': False, 'first_name': 'Андрей', 'username': None, 'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': 'Архивариус',
'can_be_edited': False, 'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True,
'can_restrict_members': True, 'can_promote_members': False, 'can_change_info': True, 'can_invite_users': True,
'can_pin_messages': True, 'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None,
'can_send_polls': None, 'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 1586530719, 'is_bot': False, 'first_name': 'Evgeniy', 'username': None, 'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': False, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 747091323, 'is_bot': False, 'first_name': 'Светлана', 'username': None, 'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 742508167, 'is_bot': False, 'first_name': '83ND3R', 'username': None, 'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 535078107, 'is_bot': False, 'first_name': 'Оксана', 'username': 'Coffeewithoutmilk',
'last_name': None,
'language_code': 'ru', 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': 'Хомяк',
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 993222503, 'is_bot': False, 'first_name': 'DARYAL', 'username': None, 'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': False, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 1346238115, 'is_bot': False, 'first_name': 'Vartas', 'username': None, 'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': 'Пёс',
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 437258746, 'is_bot': False, 'first_name': 'Eva', 'username': None, 'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': False, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 364642280, 'is_bot': False, 'first_name': 'lera', 'username': None, 'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': False, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {
'user': {'id': 442181816, 'is_bot': False, 'first_name': 'Alexandr', 'username': None, 'last_name': 'Gorodnichev',
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None, 'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 240470046, 'is_bot': False, 'first_name': 'Maxx', 'username': 'pub_maxx', 'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 375423828, 'is_bot': False, 'first_name': 'A', 'username': None, 'last_name': 'Ush',
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 312779364, 'is_bot': False, 'first_name': 'Morbo', 'username': None, 'last_name': 'Morbo',
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {
'user': {'id': 274448416, 'is_bot': False, 'first_name': 'Boris', 'username': 'Bobrobelka', 'last_name': 'Pavlov',
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None, 'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 199361131, 'is_bot': False, 'first_name': 'Aleksey', 'username': 'AlekseyLopatin',
'last_name': 'Lopatin', 'language_code': None, 'can_join_groups': None,
'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 129079647, 'is_bot': False, 'first_name': 'РыБо', 'username': None, 'last_name': 'РыБо',
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 64094289, 'is_bot': False, 'first_name': 'slalus', 'username': 'slalus', 'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': 'Mr.Breaking news',
'can_be_edited': False, 'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True,
'can_restrict_members': True, 'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True,
'can_pin_messages': True, 'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None,
'can_send_polls': None, 'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 52351769, 'is_bot': False, 'first_name': 'Andrey', 'username': 'aburmistrov',
'last_name': 'Burmistrov',
'language_code': 'ru', 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'creator', 'custom_title': None, 'can_be_edited': None,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': None, 'can_restrict_members': None,
'can_promote_members': None, 'can_change_info': None, 'can_invite_users': None, 'can_pin_messages': None,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
user = {'user': {'id': 5577509, 'is_bot': False, 'first_name': 'Da Tek Shaman', 'username': 'DaTekShaman',
'last_name': None,
'language_code': None, 'can_join_groups': None, 'can_read_all_group_messages': None,
'supports_inline_queries': None}, 'status': 'administrator', 'custom_title': None,
'can_be_edited': False,
'can_post_messages': None, 'can_edit_messages': None, 'can_delete_messages': True, 'can_restrict_members': True,
'can_promote_members': True, 'can_change_info': True, 'can_invite_users': True, 'can_pin_messages': True,
'is_member': None, 'can_send_messages': None, 'can_send_media_messages': None, 'can_send_polls': None,
'can_send_other_messages': None, 'can_add_web_page_previews': None, 'until_date': None}
| 95.634615 | 748 | 0.665272 | 3,093 | 24,865 | 4.921436 | 0.073392 | 0.115425 | 0.124162 | 0.06241 | 0.8311 | 0.796807 | 0.790829 | 0.790829 | 0.778873 | 0.770004 | 0 | 0.022502 | 0.176071 | 24,865 | 259 | 749 | 96.003861 | 0.719725 | 0 | 0 | 0.681452 | 0 | 0 | 0.54307 | 0.137173 | 0 | 0 | 0.000733 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
12069e90e10a7e4ad196d74c5df74b8f3200b0a1 | 203 | py | Python | PythonClient/reinforcement_learning/airgym/envs/__init__.py | zewuzheng17/Carintercept | 58a18ac84631fa03ec245dcdefdcc0ead6f84d67 | [
"MIT"
] | null | null | null | PythonClient/reinforcement_learning/airgym/envs/__init__.py | zewuzheng17/Carintercept | 58a18ac84631fa03ec245dcdefdcc0ead6f84d67 | [
"MIT"
] | null | null | null | PythonClient/reinforcement_learning/airgym/envs/__init__.py | zewuzheng17/Carintercept | 58a18ac84631fa03ec245dcdefdcc0ead6f84d67 | [
"MIT"
] | 1 | 2022-03-22T06:16:25.000Z | 2022-03-22T06:16:25.000Z | from airgym.envs.airsim_env import AirSimEnv
from airgym.envs.car_env import AirSimCarEnv
from airgym.envs.drone_env import AirSimDroneEnv
from airgym.envs.car_intercept_env import AirSimCarInterceptEnv
| 40.6 | 63 | 0.881773 | 29 | 203 | 6 | 0.448276 | 0.229885 | 0.321839 | 0.195402 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078818 | 203 | 4 | 64 | 50.75 | 0.930481 | 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 |
1267506b24c924d9118edd01fef0e85fc660aa58 | 28,685 | py | Python | lib/utils_cell_auto.py | octaviomtz/Growing-Neural-Cellular-Automata | a6f91661e35f7bd0d7b90ac4347f4d56c9351d0b | [
"MIT"
] | null | null | null | lib/utils_cell_auto.py | octaviomtz/Growing-Neural-Cellular-Automata | a6f91661e35f7bd0d7b90ac4347f4d56c9351d0b | [
"MIT"
] | null | null | null | lib/utils_cell_auto.py | octaviomtz/Growing-Neural-Cellular-Automata | a6f91661e35f7bd0d7b90ac4347f4d56c9351d0b | [
"MIT"
] | null | null | null | # import cv2
import torch
import numpy as np
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import matplotlib.pyplot as plt
from IPython.display import Image, HTML, clear_output
import matplotlib
import io
import sys
def correct_label_in_plot(model):
'''get a string with the network architecture to print in the figure'''
# https://www.kite.com/python/answers/how-to-redirect-print-output-to-a-variable-in-python
old_stdout = sys.stdout
new_stdout = io.StringIO()
sys.stdout = new_stdout
print(model);
output = new_stdout.getvalue()
sys.stdout = old_stdout
model_str = [i.split(', k')[0] for i in output.split('\n')]
model_str_layers = [i.split(':')[-1] for i in model_str[2:-3]]
model_str = [model_str[0]]+model_str_layers
model_str = str(model_str).replace("', '",'\n')
return model_str
def create_sobel_and_identity(device='cuda'):
ident = torch.tensor([[0.0,0.0,0.0],[0.0,1.0,0.0],[0.0,0.0,0.0]]).to(device)
sobel_x = (torch.tensor([[-1.0,0.0,1.0],[-2.0,0.0,2.0],[-1.0,0.0,1.0]])/8.0).to(device)
lap = (torch.tensor([[1.0,2.0,1.0],[2.0,-12,2.0],[1.0,2.0,1.0]])/16.0).to(device)
return ident, sobel_x, lap
def prepare_seed(target, this_seed, device, num_channels = 16, pool_size = 1024):
# prepare seed
height, width, _ = np.shape(target)
seed = np.zeros([1, height, width, num_channels], np.float32)
for i in range(num_channels-1):
seed[:,..., i+1] = this_seed
# Preparing the seed pool
seed_tensor = torch.tensor(seed).permute(0,-1,1,2).to(device)
seed_pool = torch.repeat_interleave(seed_tensor, repeats = pool_size, dim = 0)
return seed, seed_tensor, seed_pool
def epochs_in_inner_loop(i, inner_iter_aux=0, inner_iter=0, thresh_do_nothing=100, thresh_do_something=200, increase=10, inner_iter_max=100):
if i < thresh_do_nothing:
inner_iter = 100
elif i % thresh_do_something == 0:
inner_iter_aux = inner_iter_aux + increase
inner_iter = np.min([inner_iter_aux, inner_iter_max])
else:
inner_iter=inner_iter
return inner_iter, inner_iter_aux
def plot_loss_and_lesion_synthesis(losses, optimizer, model_str, i, loss, sample_size, out, no_plot=False):
if no_plot:
lr_info = f'\nlr_init={optimizer.param_groups[0]["initial_lr"]:.1E}\nlr_last={optimizer.param_groups[0]["lr"]:.1E}'
model_str_final = model_str+lr_info
return model_str_final
clear_output(True)
f, (ax0, ax1) = plt.subplots(2, 1, figsize=(12,10), gridspec_kw={'height_ratios': [4, 1]})
lr_info = f'\nlr_init={optimizer.param_groups[0]["initial_lr"]:.1E}\nlr_last={optimizer.param_groups[0]["lr"]:.1E}'
model_str_final = model_str+lr_info
ax0.plot(losses, label=model_str_final)
ax0.set_yscale('log')
ax0.legend(loc='upper right', fontsize=16)
stack = []
for z in range(sample_size):
stack.append(to_rgb(out[z].permute(-2, -1,0).cpu().detach().numpy()))
ax1.imshow(np.clip(np.hstack(np.squeeze(stack)), 0,1))
ax1.axis('off')
plt.show()
print(i, loss.item(), flush = True)
return model_str_final
def to_rgb(img, channel=1):
'''return visible channel'''
# rgb, a = img[:,:,:1], img[:,:,1:2]
rgb, a = img[:,:,:channel], img[:,:,channel:channel+1]
return 1.0-a+rgb
class CeA_BASE(nn.Module):
def __init__(self, checkpoint = None, seq_layers = None, device = 'cuda', grow_on_k_iter=1, background_intensity=.19, step_size=1, scale_mask=1, pretrain_thres=100, ch0_1=1, ch1_16=16, alive_thresh=0.1):
'''
Kind of a modular class for a CA model
args:
checkpoint = 'path/to/model.pt'
seq_layers = nn.Sequential(your, pytorch, layers)
device = 'cuda' or 'cpu'
'''
super(CeA_BASE, self).__init__()
self.ident = torch.tensor([[0.0,0.0,0.0],[0.0,1.0,0.0],[0.0,0.0,0.0]]).to(device)
self.sobel_x = (torch.tensor([[-1.0,0.0,1.0],[-2.0,0.0,2.0],[-1.0,0.0,1.0]])/8.0).to(device)
self.lap = (torch.tensor([[1.0,2.0,1.0],[2.0,-12,2.0],[1.0,2.0,1.0]])/16.0).to(device)
self.grow_on_k_iter = grow_on_k_iter
self.background_intensity = background_intensity
self.step_size = step_size
self.scale_mask = scale_mask
self.pretrain_thres = pretrain_thres
self.ch0_1 = ch0_1
self.ch1_16 = ch1_16
self.alive_thresh = alive_thresh
if seq_layers is not None:
self.model = seq_layers
else:
self.model = nn.Sequential(
nn.Conv2d(64, 256, kernel_size = 3,padding =1, bias = True),
nn.ReLU(),
nn.Conv2d(256, 256, kernel_size = 3,padding =1, bias = True),
nn.ReLU(),
nn.Conv2d(256, 16, kernel_size = 1, bias = True),
)
'''
initial condition for "do nothing" behaviour:
* all biases should be zero
* the weights of the last layer should be zero
'''
for l in range(len(self.model)):
if isinstance(self.model[l], nn.Conv2d):
self.model[l].bias.data.fill_(0)
if l == len(self.model) -1:
self.model[l].weight.data.fill_(0)
if checkpoint is not None:
self.load_state_dict(torch.load(checkpoint))
self.to(device= device)
def perchannel_conv(self, x, filters):
'''filters: [filter_n, h, w]'''
b, ch, h, w = x.shape
y = x.reshape(b*ch, 1, h, w)
y = torch.nn.functional.pad(y, [1, 1, 1, 1], 'circular')
y = torch.nn.functional.conv2d(y, filters[:,None])
return y.reshape(b, -1, h, w)
def perception(self, x):
filters = torch.stack([self.ident, self.sobel_x, self.sobel_x.T, self.lap])
return self.perchannel_conv(x, filters)
def normalize_grads(self):
'''
gradient normalization for constant step size and to avoid spikes
'''
for p in self.parameters():
p.grad.data = p.grad.data/(p.grad.data.norm()+1e-8)
def get_alive_mask(self, x):
'''
looks for cells that have values over 0.1,
and allows only their adjacent cells to participate in growth
'''
alpha = x[:,1:2,:,:]
pooled = (F.max_pool2d(alpha, 3,1, padding =1 ) > 0.1).float()
return pooled
def train_step(self, seed, target, target_loss_func, epochs_inside, epoch_outside = 1000, masked_loss=False):
'''
a single training step for the model,
feel free to play around with different loss functions like L1 loss
the loss is calculated for only the first 4 channels of the output
'''
x = seed
for epoch_in in range(epochs_inside):
x, alive_mask, other = self.forward(x, epoch_in, epoch_outside)
if masked_loss == True:
alive_mask_dilated = (F.max_pool2d(alive_mask[0], 3,1, padding =1 ) > 0.1).float()
target_loss = target_loss_func(x[:,:1, :,:] * alive_mask_dilated, target * alive_mask_dilated)
else:
# target_loss = target_loss_func(x[:,:2, :,:] * target[:,1:,...], target * target[:,1:,...]) # used to synthesize almost all nodules
target_loss = target_loss_func(x[:,:2, :,:], target) # ORIGINAL
loss = target_loss
return loss, x, alive_mask.cpu().numpy(), other.detach().cpu().numpy() #batch_mean_rmse_per_pixel.detach().cpu().numpy()
def forward(self, x, epoch_in, epoch_outside):
'''
nice little forward function for the model
1. fetches an alive mask
2. generates another random mask of 0's and 1's
3. updates the input
4. applies alive mask
'''
mask_previous = alive_mask = (x[:,1:2,:,:] > 0.1).float()
# self_pretraining
if epoch_outside < self.pretrain_thres:
alive_mask = self.get_alive_mask(x)
else:
if epoch_in % self.grow_on_k_iter == 0:
alive_mask = self.get_alive_mask(x)
else:
alive_mask = (x[:,1:2,:,:] > 0.1).float()
mask_previous = torch.zeros_like(alive_mask)#OMM added in CeA
# MASK CLAMP
# | = self.background_intensity
# X = self.step_size
# S = self.scale_mask
# ch0 ch1 ch2 ...
# |||||||||||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||||XXXX||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||XX||||XX||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# ||XX||||||XX|| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||XX||||XX||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||||XXXX||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||||||||||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
mask_diff = alive_mask - mask_previous
mask_clamp_ch0 = torch.clip((1-mask_diff) + self.background_intensity,0,self.step_size) #make sure this is only applied to the first channel
mask_clamp = torch.repeat_interleave(mask_clamp_ch0,16,1)
mask_clamp_ones = torch.ones_like(torch.squeeze(mask_clamp_ch0))*self.scale_mask
for idx_channel in np.arange(1,16,1):
mask_clamp[:,idx_channel,:,:] = mask_clamp_ones
mask = torch.clamp(torch.round(torch.rand_like(x[:,:1,:,:])) , 0,1)
P = self.perception(x)
Y = self.model(P)
# out = x + (Y * mask * mask_clamp)
out = x + (Y * mask) #original
out *= alive_mask
return out, alive_mask, mask_clamp
class CeA_00(nn.Module):
def __init__(self, checkpoint = None, seq_layers = None, device = 'cuda', grow_on_k_iter=3, background_intensity=.19, step_size=1, scale_mask=1, pretrain_thres=100):
'''
Kind of a modular class for a CA model
args:
checkpoint = 'path/to/model.pt'
seq_layers = nn.Sequential(your, pytorch, layers)
device = 'cuda' or 'cpu'
'''
super(CeA_00, self).__init__()
self.ident = torch.tensor([[0.0,0.0,0.0],[0.0,1.0,0.0],[0.0,0.0,0.0]]).to(device)
self.sobel_x = (torch.tensor([[-1.0,0.0,1.0],[-2.0,0.0,2.0],[-1.0,0.0,1.0]])/8.0).to(device)
self.lap = (torch.tensor([[1.0,2.0,1.0],[2.0,-12,2.0],[1.0,2.0,1.0]])/16.0).to(device)
self.grow_on_k_iter = grow_on_k_iter
self.background_intensity = background_intensity
self.step_size = step_size
self.scale_mask = scale_mask
self.pretrain_thres = pretrain_thres
if seq_layers is not None:
self.model = seq_layers
else:
self.model = nn.Sequential(
nn.Conv2d(64, 256, kernel_size = 3,padding =1, bias = True),
nn.ReLU(),
nn.Conv2d(256, 256, kernel_size = 3,padding =1, bias = True),
nn.ReLU(),
nn.Conv2d(256, 16, kernel_size = 1, bias = True),
)
'''
initial condition for "do nothing" behaviour:
* all biases should be zero
* the weights of the last layer should be zero
'''
for l in range(len(self.model)):
if isinstance(self.model[l], nn.Conv2d):
self.model[l].bias.data.fill_(0)
if l == len(self.model) -1:
self.model[l].weight.data.fill_(0)
if checkpoint is not None:
self.load_state_dict(torch.load(checkpoint))
self.to(device= device)
def perchannel_conv(self, x, filters):
'''filters: [filter_n, h, w]'''
b, ch, h, w = x.shape
y = x.reshape(b*ch, 1, h, w)
y = torch.nn.functional.pad(y, [1, 1, 1, 1], 'circular')
y = torch.nn.functional.conv2d(y, filters[:,None])
return y.reshape(b, -1, h, w)
def perception(self, x):
filters = torch.stack([self.ident, self.sobel_x, self.sobel_x.T, self.lap])
return self.perchannel_conv(x, filters)
def normalize_grads(self):
'''
gradient normalization for constant step size and to avoid spikes
'''
for p in self.parameters():
p.grad.data = p.grad.data/(p.grad.data.norm()+1e-8)
def get_alive_mask(self, x):
'''
looks for cells that have values over 0.1,
and allows only their adjacent cells to participate in growth
'''
alpha = x[:,1:2,:,:]
pooled = (F.max_pool2d(alpha, 3,1, padding =1 ) > 0.1).float()
return pooled
def train_step(self, seed, target, target_loss_func, epochs_inside, epoch_outside = 1000, masked_loss=False):
'''
a single training step for the model,
feel free to play around with different loss functions like L1 loss
the loss is calculated for only the first 4 channels of the output
'''
x = seed
for epoch_in in range(epochs_inside):
x, alive_mask, other = self.forward(x, epoch_in, epoch_outside)
if masked_loss == True:
alive_mask_dilated = (F.max_pool2d(alive_mask[0], 3,1, padding =1 ) > 0.1).float()
target_loss = target_loss_func(x[:,:1, :,:] * alive_mask_dilated, target * alive_mask_dilated)
else:
# target_loss = target_loss_func(x[:,:2, :,:] * target[:,1:,...], target * target[:,1:,...]) # used to synthesize almost all nodules
target_loss = target_loss_func(x[:,:2, :,:], target) # ORIGINAL
loss = target_loss
return loss, x, alive_mask.cpu().numpy(), other.detach().cpu().numpy() #batch_mean_rmse_per_pixel.detach().cpu().numpy()
def forward(self, x, epoch_in, epoch_outside):
'''
nice little forward function for the model
1. fetches an alive mask
2. generates another random mask of 0's and 1's
3. updates the input
4. applies alive mask
'''
mask_previous = alive_mask = (x[:,1:2,:,:] > 0.1).float()
# self_pretraining
if epoch_outside < self.pretrain_thres:
alive_mask = self.get_alive_mask(x)
else:
if epoch_in % self.grow_on_k_iter == 0:
alive_mask = self.get_alive_mask(x)
else:
alive_mask = (x[:,1:2,:,:] > 0.1).float()
mask_previous = torch.zeros_like(alive_mask)#OMM added in CeA
# MASK CLAMP
# | = self.background_intensity
# X = self.step_size
# S = self.scale_mask
# ch0 ch1 ch2 ...
# |||||||||||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||||XXXX||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||XX||||XX||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# ||XX||||||XX|| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||XX||||XX||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||||XXXX||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||||||||||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
mask_diff = alive_mask - mask_previous
mask_clamp_ch0 = torch.clip((1-mask_diff) + self.background_intensity,0,self.step_size) #make sure this is only applied to the first channel
mask_clamp = torch.repeat_interleave(mask_clamp_ch0,16,1)
mask_clamp_ones = torch.ones_like(torch.squeeze(mask_clamp_ch0))*self.scale_mask
for idx_channel in np.arange(1,16,1):
mask_clamp[:,idx_channel,:,:] = mask_clamp_ones
mask = torch.clamp(torch.round(torch.rand_like(x[:,:1,:,:])) , 0,1)
P = self.perception(x)
Y = self.model(P)
out = x + (Y * mask * mask_clamp)
out *= alive_mask
return out, alive_mask, mask_clamp
class CeA_0x(nn.Module):
def __init__(self, checkpoint = None, seq_layers = None, device = 'cuda', grow_on_k_iter=3, background_intensity=.19, step_size=1, scale_mask=1, pretrain_thres=100, ch0_1=1, ch1_16=16, alive_thresh=0.1):
'''
Kind of a modular class for a CA model
args:
checkpoint = 'path/to/model.pt'
seq_layers = nn.Sequential(your, pytorch, layers)
device = 'cuda' or 'cpu'
'''
super(CeA_0x, self).__init__()
self.ident = torch.tensor([[0.0,0.0,0.0],[0.0,1.0,0.0],[0.0,0.0,0.0]]).to(device)
self.sobel_x = (torch.tensor([[-1.0,0.0,1.0],[-2.0,0.0,2.0],[-1.0,0.0,1.0]])/8.0).to(device)
self.lap = (torch.tensor([[1.0,2.0,1.0],[2.0,-12,2.0],[1.0,2.0,1.0]])/16.0).to(device)
self.grow_on_k_iter = grow_on_k_iter
self.background_intensity = background_intensity
self.step_size = step_size
self.scale_mask = scale_mask
self.pretrain_thres = pretrain_thres
self.ch0_1 = ch0_1
self.ch1_16 = ch1_16
self.alive_thresh = alive_thresh
if seq_layers is not None:
self.model = seq_layers
else:
self.model = nn.Sequential(
nn.Conv2d(64, 256, kernel_size = 3,padding =1, bias = True),
nn.ReLU(),
nn.Conv2d(256, 256, kernel_size = 3,padding =1, bias = True),
nn.ReLU(),
nn.Conv2d(256, 16, kernel_size = 1, bias = True),
)
'''
initial condition for "do nothing" behaviour:
* all biases should be zero
* the weights of the last layer should be zero
'''
for l in range(len(self.model)):
if isinstance(self.model[l], nn.Conv2d):
self.model[l].bias.data.fill_(0)
if l == len(self.model) -1:
self.model[l].weight.data.fill_(0)
if checkpoint is not None:
self.load_state_dict(torch.load(checkpoint))
self.to(device= device)
def perchannel_conv(self, x, filters):
'''filters: [filter_n, h, w]'''
b, ch, h, w = x.shape
y = x.reshape(b*ch, 1, h, w)
y = torch.nn.functional.pad(y, [1, 1, 1, 1], 'circular')
y = torch.nn.functional.conv2d(y, filters[:,None])
return y.reshape(b, -1, h, w)
def perception(self, x):
filters = torch.stack([self.ident, self.sobel_x, self.sobel_x.T, self.lap])
return self.perchannel_conv(x, filters)
def normalize_grads(self):
'''
gradient normalization for constant step size and to avoid spikes
'''
for p in self.parameters():
p.grad.data = p.grad.data/(p.grad.data.norm()+1e-8)
def get_alive_mask(self, x):
'''
looks for cells that have values over 0.1,
and allows only their adjacent cells to participate in growth
'''
alpha = x[:,1:2,:,:]
pooled = (F.max_pool2d(alpha, 3,1, padding =1 ) > self.alive_thresh).float()
return pooled
def train_step(self, seed, target, target_loss_func, epochs_inside, epoch_outside = 1000, masked_loss=False):
'''
a single training step for the model,
feel free to play around with different loss functions like L1 loss
the loss is calculated for only the first 4 channels of the output
'''
x = seed
for epoch_in in range(epochs_inside):
x, alive_mask, other = self.forward(x, epoch_in, epoch_outside)
if masked_loss == True:
alive_mask_dilated = (F.max_pool2d(alive_mask[0], 3,1, padding =1 ) > 0.1).float()
target_loss = target_loss_func(x[:,:1, :,:] * alive_mask_dilated, target * alive_mask_dilated)
else:
# target_loss = target_loss_func(x[:,:2, :,:] * target[:,1:,...], target * target[:,1:,...]) # used to synthesize almost all nodules
target_loss = target_loss_func(x[:,:2, :,:], target) # ORIGINAL
loss = target_loss
return loss, x, alive_mask.cpu().numpy(), other.detach().cpu().numpy() #batch_mean_rmse_per_pixel.detach().cpu().numpy()
def forward(self, x, epoch_in, epoch_outside):
'''
nice little forward function for the model
1. fetches an alive mask
2. generates another random mask of 0's and 1's
3. updates the input
4. applies alive mask
'''
mask_previous = alive_mask = (x[:,1:2,:,:] > self.alive_thresh).float()
# self_pretraining
if epoch_outside < self.pretrain_thres:
alive_mask = self.get_alive_mask(x)
else:
if epoch_in % self.grow_on_k_iter == 0:
alive_mask = self.get_alive_mask(x)
else:
alive_mask = (x[:,1:2,:,:] > self.alive_thresh).float()
mask_previous = torch.zeros_like(alive_mask)#OMM added in CeA
# MASK CLAMP
# | = self.background_intensity
# X = self.step_size
# S = self.scale_mask
# ch0 ch1 ch2 ...
# |||||||||||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||||XXXX||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||XX||||XX||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# ||XX||||||XX|| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||XX||||XX||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||||XXXX||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||||||||||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
mask_diff = alive_mask - mask_previous
mask_clamp_ch0 = torch.clip((1-mask_diff) + self.background_intensity,0,self.step_size) #make sure this is only applied to the first channel
mask_clamp = torch.repeat_interleave(mask_clamp_ch0,16,1)
mask_clamp_ones = torch.ones_like(torch.squeeze(mask_clamp_ch0))*self.scale_mask
for idx_channel in np.arange(self.ch0_1,self.ch1_16,1):
mask_clamp[:,idx_channel,:,:] = mask_clamp_ones
mask = torch.clamp(torch.round(torch.rand_like(x[:,:1,:,:])) , 0,1)
P = self.perception(x)
Y = self.model(P)
out = x + (Y * mask * mask_clamp)
out *= alive_mask
return out, alive_mask, mask_clamp
class CeA_BASE_1CNN(nn.Module):
def __init__(self, checkpoint = None, seq_layers = None, device = 'cuda', grow_on_k_iter=1, background_intensity=.19, step_size=1, scale_mask=1, pretrain_thres=100, ch0_1=1, ch1_16=16, alive_thresh=0.1):
'''
Kind of a modular class for a CA model
args:
checkpoint = 'path/to/model.pt'
seq_layers = nn.Sequential(your, pytorch, layers)
device = 'cuda' or 'cpu'
'''
super(CeA_BASE_1CNN, self).__init__()
self.ident = torch.tensor([[0.0,0.0,0.0],[0.0,1.0,0.0],[0.0,0.0,0.0]]).to(device)
self.sobel_x = (torch.tensor([[-1.0,0.0,1.0],[-2.0,0.0,2.0],[-1.0,0.0,1.0]])/8.0).to(device)
self.lap = (torch.tensor([[1.0,2.0,1.0],[2.0,-12,2.0],[1.0,2.0,1.0]])/16.0).to(device)
self.grow_on_k_iter = grow_on_k_iter
self.background_intensity = background_intensity
self.step_size = step_size
self.scale_mask = scale_mask
self.pretrain_thres = pretrain_thres
self.ch0_1 = ch0_1
self.ch1_16 = ch1_16
self.alive_thresh = alive_thresh
if seq_layers is not None:
self.model = seq_layers
else:
self.model = nn.Sequential(
nn.Conv2d(64, 256, kernel_size = 3,padding =1, bias = True),
nn.ReLU(),
nn.Conv2d(256, 16, kernel_size = 1, bias = True),
)
'''
initial condition for "do nothing" behaviour:
* all biases should be zero
* the weights of the last layer should be zero
'''
for l in range(len(self.model)):
if isinstance(self.model[l], nn.Conv2d):
self.model[l].bias.data.fill_(0)
if l == len(self.model) -1:
self.model[l].weight.data.fill_(0)
if checkpoint is not None:
self.load_state_dict(torch.load(checkpoint))
self.to(device= device)
def perchannel_conv(self, x, filters):
'''filters: [filter_n, h, w]'''
b, ch, h, w = x.shape
y = x.reshape(b*ch, 1, h, w)
y = torch.nn.functional.pad(y, [1, 1, 1, 1], 'circular')
y = torch.nn.functional.conv2d(y, filters[:,None])
return y.reshape(b, -1, h, w)
def perception(self, x):
filters = torch.stack([self.ident, self.sobel_x, self.sobel_x.T, self.lap])
return self.perchannel_conv(x, filters)
def normalize_grads(self):
'''
gradient normalization for constant step size and to avoid spikes
'''
for p in self.parameters():
p.grad.data = p.grad.data/(p.grad.data.norm()+1e-8)
def get_alive_mask(self, x):
'''
looks for cells that have values over 0.1,
and allows only their adjacent cells to participate in growth
'''
alpha = x[:,1:2,:,:]
pooled = (F.max_pool2d(alpha, 3,1, padding =1 ) > 0.1).float()
return pooled
def train_step(self, seed, target, target_loss_func, epochs_inside, epoch_outside = 1000, masked_loss=False):
'''
a single training step for the model,
feel free to play around with different loss functions like L1 loss
the loss is calculated for only the first 4 channels of the output
'''
x = seed
for epoch_in in range(epochs_inside):
x, alive_mask, other = self.forward(x, epoch_in, epoch_outside)
if masked_loss == True:
alive_mask_dilated = (F.max_pool2d(alive_mask[0], 3,1, padding =1 ) > 0.1).float()
target_loss = target_loss_func(x[:,:1, :,:] * alive_mask_dilated, target * alive_mask_dilated)
else:
# target_loss = target_loss_func(x[:,:2, :,:] * target[:,1:,...], target * target[:,1:,...]) # used to synthesize almost all nodules
target_loss = target_loss_func(x[:,:2, :,:], target) # ORIGINAL
loss = target_loss
return loss, x, alive_mask.cpu().numpy(), other.detach().cpu().numpy() #batch_mean_rmse_per_pixel.detach().cpu().numpy()
def forward(self, x, epoch_in, epoch_outside):
'''
nice little forward function for the model
1. fetches an alive mask
2. generates another random mask of 0's and 1's
3. updates the input
4. applies alive mask
'''
mask_previous = alive_mask = (x[:,1:2,:,:] > 0.1).float()
# self_pretraining
if epoch_outside < self.pretrain_thres:
alive_mask = self.get_alive_mask(x)
else:
if epoch_in % self.grow_on_k_iter == 0:
alive_mask = self.get_alive_mask(x)
else:
alive_mask = (x[:,1:2,:,:] > 0.1).float()
mask_previous = torch.zeros_like(alive_mask)#OMM added in CeA
# MASK CLAMP
# | = self.background_intensity
# X = self.step_size
# S = self.scale_mask
# ch0 ch1 ch2 ...
# |||||||||||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||||XXXX||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||XX||||XX||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# ||XX||||||XX|| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||XX||||XX||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||||XXXX||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
# |||||||||||||| SSSSSSSSSSSSS SSSSSSSSSSSSS SSSSSSSSSSSSS
mask_diff = alive_mask - mask_previous
mask_clamp_ch0 = torch.clip((1-mask_diff) + self.background_intensity,0,self.step_size) #make sure this is only applied to the first channel
mask_clamp = torch.repeat_interleave(mask_clamp_ch0,16,1)
mask_clamp_ones = torch.ones_like(torch.squeeze(mask_clamp_ch0))*self.scale_mask
for idx_channel in np.arange(1,16,1):
mask_clamp[:,idx_channel,:,:] = mask_clamp_ones
mask = torch.clamp(torch.round(torch.rand_like(x[:,:1,:,:])) , 0,1)
P = self.perception(x)
Y = self.model(P)
# out = x + (Y * mask * mask_clamp)
out = x + (Y * mask) #original
out *= alive_mask
return out, alive_mask, mask_clamp | 42.433432 | 207 | 0.583406 | 4,012 | 28,685 | 3.99651 | 0.083998 | 0.013097 | 0.014968 | 0.013721 | 0.888238 | 0.884932 | 0.884932 | 0.884932 | 0.884932 | 0.883061 | 0 | 0.041118 | 0.279345 | 28,685 | 676 | 208 | 42.433432 | 0.73452 | 0.222486 | 0 | 0.797927 | 0 | 0.005181 | 0.014393 | 0.009853 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088083 | false | 0 | 0.025907 | 0 | 0.194301 | 0.005181 | 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 |
d6024711dd06350b8dfa6bed9c76299d11f94eb4 | 12,005 | py | Python | site/churchcal/migrations/0001_initial.py | scottBowles/dailyoffice2019 | ca750ac77316d247ca7a7a820e085f9968fbc8ff | [
"MIT"
] | 19 | 2020-01-12T23:57:22.000Z | 2022-03-30T16:35:17.000Z | site/churchcal/migrations/0001_initial.py | scottBowles/dailyoffice2019 | ca750ac77316d247ca7a7a820e085f9968fbc8ff | [
"MIT"
] | 59 | 2020-01-13T00:45:27.000Z | 2022-02-20T04:10:05.000Z | site/churchcal/migrations/0001_initial.py | scottBowles/dailyoffice2019 | ca750ac77316d247ca7a7a820e085f9968fbc8ff | [
"MIT"
] | 7 | 2020-01-21T21:12:03.000Z | 2021-10-24T01:15:50.000Z | # Generated by Django 2.1.5 on 2019-09-26 02:17
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = []
operations = [
migrations.CreateModel(
name="Calendar",
fields=[
("uuid", models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
("created", models.DateTimeField(auto_now_add=True)),
("updated", models.DateTimeField(auto_now=True)),
("name", models.CharField(max_length=256)),
("year", models.CharField(max_length=256)),
("abbreviation", models.CharField(max_length=256)),
("google_sheet_id", models.CharField(max_length=256)),
],
options={"abstract": False},
),
migrations.CreateModel(
name="Commemoration",
fields=[
("uuid", models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
("created", models.DateTimeField(auto_now_add=True)),
("updated", models.DateTimeField(auto_now=True)),
("name", models.CharField(max_length=256)),
("color", models.CharField(blank=True, max_length=256, null=True)),
("additional_color", models.CharField(blank=True, max_length=256, null=True)),
("alternate_color", models.CharField(blank=True, max_length=256, null=True)),
("alternate_color_2", models.CharField(blank=True, max_length=256, null=True)),
("collect", models.TextField(blank=True, null=True)),
("alternate_collect", models.TextField(blank=True, null=True)),
("eve_collect", models.TextField(blank=True, null=True)),
("color_notes", models.CharField(blank=True, max_length=256, null=True)),
],
options={"abstract": False},
),
migrations.CreateModel(
name="CommemorationRank",
fields=[
("uuid", models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
("created", models.DateTimeField(auto_now_add=True)),
("updated", models.DateTimeField(auto_now=True)),
("name", models.CharField(max_length=256)),
("formatted_name", models.CharField(max_length=256)),
(
"precedence_rank",
models.PositiveSmallIntegerField(
choices=[(1, 1), (2, 2), (3, 3), (4, 4), (5, 5), (6, 6), (7, 7), (8, 8), (9, 9)]
),
),
("required", models.BooleanField(default=True)),
("calendar", models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to="churchcal.Calendar")),
],
options={"abstract": False},
),
migrations.CreateModel(
name="Denomination",
fields=[
("uuid", models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
("created", models.DateTimeField(auto_now_add=True)),
("updated", models.DateTimeField(auto_now=True)),
("name", models.CharField(max_length=256)),
("abbreviation", models.CharField(max_length=256)),
],
options={"abstract": False},
),
migrations.CreateModel(
name="Proper",
fields=[
("uuid", models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
("created", models.DateTimeField(auto_now_add=True)),
("updated", models.DateTimeField(auto_now=True)),
(
"number",
models.IntegerField(
choices=[
(1, 1),
(2, 2),
(3, 3),
(4, 4),
(5, 5),
(6, 6),
(7, 7),
(8, 8),
(9, 9),
(10, 10),
(11, 11),
(12, 12),
(13, 13),
(14, 14),
(15, 15),
(16, 16),
(17, 17),
(18, 18),
(19, 19),
(20, 20),
(21, 21),
(22, 22),
(23, 23),
(24, 24),
(25, 25),
(26, 26),
(27, 27),
(28, 28),
]
),
),
("start_date", models.DateField()),
("end_date", models.DateField()),
("collect", models.TextField(blank=True, null=True)),
("calendar", models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to="churchcal.Calendar")),
],
options={"abstract": False},
),
migrations.CreateModel(
name="Season",
fields=[
("uuid", models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
("created", models.DateTimeField(auto_now_add=True)),
("updated", models.DateTimeField(auto_now=True)),
(
"order",
models.IntegerField(
choices=[
(1, 1),
(2, 2),
(3, 3),
(4, 4),
(5, 5),
(6, 6),
(7, 7),
(8, 8),
(9, 9),
(10, 10),
(11, 11),
(12, 12),
(13, 13),
(14, 14),
(15, 15),
(16, 16),
(17, 17),
(18, 18),
(19, 19),
(20, 20),
(21, 21),
(22, 22),
(23, 23),
(24, 24),
(25, 25),
(26, 26),
(27, 27),
(28, 28),
]
),
),
("name", models.CharField(max_length=1024)),
("color", models.CharField(max_length=255)),
("alternate_color", models.CharField(blank=True, max_length=255, null=True)),
("calendar", models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to="churchcal.Calendar")),
(
"rank",
models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to="churchcal.CommemorationRank"),
),
],
options={"abstract": False},
),
migrations.CreateModel(
name="FerialCommemoration",
fields=[
(
"commemoration_ptr",
models.OneToOneField(
auto_created=True,
on_delete=django.db.models.deletion.CASCADE,
parent_link=True,
primary_key=True,
serialize=False,
to="churchcal.Commemoration",
),
)
],
options={"managed": False},
bases=("churchcal.commemoration",),
),
migrations.CreateModel(
name="SanctoraleBasedCommemoration",
fields=[
(
"commemoration_ptr",
models.OneToOneField(
auto_created=True,
on_delete=django.db.models.deletion.CASCADE,
parent_link=True,
primary_key=True,
serialize=False,
to="churchcal.Commemoration",
),
),
("weekday", models.CharField(max_length=256)),
("number_after", models.SmallIntegerField()),
("month_after", models.PositiveSmallIntegerField()),
("day_after", models.PositiveSmallIntegerField()),
],
options={"abstract": False},
bases=("churchcal.commemoration",),
),
migrations.CreateModel(
name="SanctoraleCommemoration",
fields=[
(
"commemoration_ptr",
models.OneToOneField(
auto_created=True,
on_delete=django.db.models.deletion.CASCADE,
parent_link=True,
primary_key=True,
serialize=False,
to="churchcal.Commemoration",
),
),
("month", models.PositiveSmallIntegerField()),
("day", models.PositiveSmallIntegerField()),
],
options={"abstract": False},
bases=("churchcal.commemoration",),
),
migrations.CreateModel(
name="TemporaleCommemoration",
fields=[
(
"commemoration_ptr",
models.OneToOneField(
auto_created=True,
on_delete=django.db.models.deletion.CASCADE,
parent_link=True,
primary_key=True,
serialize=False,
to="churchcal.Commemoration",
),
),
("days_after_easter", models.SmallIntegerField()),
],
options={"abstract": False},
bases=("churchcal.commemoration",),
),
migrations.AddField(
model_name="season",
name="start_commemoration",
field=models.ForeignKey(
blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to="churchcal.Commemoration"
),
),
migrations.AddField(
model_name="commemoration",
name="calendar",
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to="churchcal.Calendar"),
),
migrations.AddField(
model_name="commemoration",
name="cannot_occur_after",
field=models.ForeignKey(
blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to="churchcal.Commemoration"
),
),
migrations.AddField(
model_name="commemoration",
name="rank",
field=models.ForeignKey(
blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to="churchcal.CommemorationRank"
),
),
migrations.AddField(
model_name="calendar",
name="denomination",
field=models.ForeignKey(
blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to="churchcal.Denomination"
),
),
]
| 41.539792 | 118 | 0.431653 | 906 | 12,005 | 5.607064 | 0.149007 | 0.05315 | 0.035433 | 0.06063 | 0.81752 | 0.806693 | 0.770866 | 0.719291 | 0.710039 | 0.692717 | 0 | 0.04273 | 0.448313 | 12,005 | 288 | 119 | 41.684028 | 0.724294 | 0.003748 | 0 | 0.75089 | 1 | 0 | 0.104365 | 0.031694 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.010676 | 0 | 0.024911 | 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 |
d614de9215ac6fa460c971679c56c873d0a89e7a | 13,263 | py | Python | run.py | jtuyls/variational-autoencoder | 4db193b439a0c4630677ad15ba3b68f8287e17f5 | [
"MIT"
] | null | null | null | run.py | jtuyls/variational-autoencoder | 4db193b439a0c4630677ad15ba3b68f8287e17f5 | [
"MIT"
] | null | null | null | run.py | jtuyls/variational-autoencoder | 4db193b439a0c4630677ad15ba3b68f8287e17f5 | [
"MIT"
] | null | null | null | import os
from visualization import Visualization
from variational_autoencoder import VariationalAutoEncoder
from vae_convnet import VaeConvNet
from vae_ffnn import VaeFfnn
from vae_convnet2 import VaeConvNet2
from vae_input_output import VaeInputOutput
scenario = 1.4
if __name__ == "__main__":
if scenario == 0: # Test scenario
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_0'
viz = Visualization(output_dir=output_dir)
vae = VaeConvNet2(visualization=viz)
vae.main(data_set="mnist", n_latent=20, num_epochs=2, batch_size=100, downsampling=100)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space()
###############
#### MNIST ####
###############
if scenario == 1.0: # Test scenario
# Train standard variational autoencoder
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_1'
viz = Visualization(output_dir=output_dir)
vae = VariationalAutoEncoder(visualization=viz)
vae.main(data_set="mnist", n_latent=20, num_epochs=10, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space()
#### n_latent == 2 ####
if scenario == 1.1:
# Train standard variational autoencoder
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_1_1'
viz = Visualization(output_dir=output_dir)
vae = VariationalAutoEncoder(visualization=viz)
vae.main(data_set="mnist", n_latent=2, num_epochs=100, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space_2nlatent()
vae.visualize_latent_layer_unsupervised()
if scenario == 1.2:
# Train variational autoencoder with convolutional layers
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_1_2'
viz = Visualization(output_dir=output_dir)
vae = VaeConvNet(visualization=viz)
vae.main(data_set="mnist", n_latent=2, num_epochs=100, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space_2nlatent()
vae.visualize_latent_layer_unsupervised()
#### n_latent == 20 ####
if scenario == 1.3:
# Train standard variational autoencoder
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_1_3'
viz = Visualization(output_dir=output_dir)
vae = VariationalAutoEncoder(visualization=viz)
vae.main(data_set="mnist", n_latent=20, num_epochs=100, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space()
if scenario == 1.4:
# Train variational autoencoder with convolutional layers
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_1_4'
viz = Visualization(output_dir=output_dir)
vae = VaeConvNet(visualization=viz)
vae.main(data_set="mnist", n_latent=20, num_epochs=100, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space()
#### n_latent == 200 ####
if scenario == 1.5:
# Train standard variational autoencoder
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_1_5'
viz = Visualization(output_dir=output_dir)
vae = VariationalAutoEncoder(visualization=viz)
vae.main(data_set="mnist", n_latent=200, num_epochs=100, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space(nx=20)
if scenario == 1.6:
# Train variational autoencoder with convolutional layers
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_1_6'
viz = Visualization(output_dir=output_dir)
vae = VaeConvNet(visualization=viz)
vae.main(data_set="mnist", n_latent=200, num_epochs=100, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space(nx=20)
###########################
#### Celebrity dataset ####
###########################
if scenario == 2.0: # Test scenario
# Train standard variational autoencoder and visualize latent layer
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_2'
viz = Visualization(output_dir=output_dir)
vae = VariationalAutoEncoder(visualization=viz)
vae.main(data_set="celeb_data", n_latent=2, num_epochs=2, batch_size=100, downsampling=100)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space_2nlatent()
vae.visualize_latent_layer_unsupervised()
#### n_latent == 2 ####
if scenario == 2.1:
# Train standard variational autoencoder
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_2_1'
viz = Visualization(output_dir=output_dir)
vae = VariationalAutoEncoder(visualization=viz)
vae.main(data_set="celeb_data", n_latent=2, num_epochs=100, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space_2nlatent()
vae.visualize_latent_layer_unsupervised()
if scenario == 2.2:
# Train variational autoencoder with convolutional layers
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_2_2'
viz = Visualization(output_dir=output_dir)
vae = VaeConvNet(visualization=viz)
vae.main(data_set="celeb_data", n_latent=2, num_epochs=100, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space_2nlatent()
vae.visualize_latent_layer_unsupervised()
#### n_latent == 20 ####
if scenario == 2.3:
# Train standard variational autoencoder
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_2_3'
viz = Visualization(output_dir=output_dir)
vae = VariationalAutoEncoder(visualization=viz)
vae.main(data_set="celeb_data", n_latent=20, num_epochs=100, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space()
if scenario == 2.4:
# Train variational autoencoder with convolutional layers
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_2_4'
viz = Visualization(output_dir=output_dir)
vae = VaeConvNet(visualization=viz)
vae.main(data_set="celeb_data", n_latent=20, num_epochs=100, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space()
#### n_latent == 200 ####
if scenario == 2.5:
# Train standard variational autoencoder
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_2_5'
viz = Visualization(output_dir=output_dir)
vae = VariationalAutoEncoder(visualization=viz)
vae.main(data_set="celeb_data", n_latent=200, num_epochs=100, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space(nx=20)
if scenario == 2.6:
# Train variational autoencoder with convolutional layers
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_2_6'
viz = Visualization(output_dir=output_dir)
vae = VaeConvNet(visualization=viz)
vae.main(data_set="celeb_data", n_latent=200, num_epochs=100, batch_size=100, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space(nx=20)
###################
#### Cell data ####
###################
if scenario == 3.0:
# Train variational autoencoder with convolutional layers on cell data set with different inputs and outputs
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_3'
viz = Visualization(output_dir=output_dir)
vae = VaeInputOutput(visualization=viz)
vae.main(data_set="cell_data", n_latent=20, num_epochs=2, batch_size=100, downsampling=100)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
#### n_latent == 2 ####
if scenario == 3.1:
# Train standard variational autoencoder
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_3_1'
viz = Visualization(output_dir=output_dir)
vae = VariationalAutoEncoder(visualization=viz)
vae.main(data_set="cell_data", n_latent=2, num_epochs=1500, batch_size=32, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space_2nlatent()
vae.visualize_latent_layer_unsupervised()
if scenario == 3.2:
# Train variational autoencoder with convolutional layers
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_3_2'
viz = Visualization(output_dir=output_dir)
vae = VaeConvNet(visualization=viz)
vae.main(data_set="cell_data", n_latent=2, num_epochs=1500, batch_size=32, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space_2nlatent()
vae.visualize_latent_layer_unsupervised()
#### n_latent == 20 ####
if scenario == 3.3:
# Train standard variational autoencoder
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_3_3'
viz = Visualization(output_dir=output_dir)
vae = VariationalAutoEncoder(visualization=viz)
vae.main(data_set="cell_data", n_latent=20, num_epochs=1500, batch_size=32, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space()
if scenario == 3.4:
# Train variational autoencoder with convolutional layers
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_3_4'
viz = Visualization(output_dir=output_dir)
vae = VaeConvNet(visualization=viz)
vae.main(data_set="cell_data", n_latent=20, num_epochs=1500, batch_size=32, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space()
#### n_latent == 200 ####
if scenario == 3.5:
# Train standard variational autoencoder
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_3_5'
viz = Visualization(output_dir=output_dir)
vae = VariationalAutoEncoder(visualization=viz)
vae.main(data_set="cell_data", n_latent=200, num_epochs=1500, batch_size=32, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space(nx=20)
if scenario == 3.6:
# Train variational autoencoder with convolutional layers
output_dir = os.path.dirname(os.path.abspath(__file__)) + '/figures_scenario_3_6'
viz = Visualization(output_dir=output_dir)
vae = VaeConvNet(visualization=viz)
vae.main(data_set="cell_data", n_latent=200, num_epochs=1500, batch_size=32, downsampling=None)
vae.test_vae(downsampling=10)
vae.visualize_train_images_original(100)
vae.construct_images_from_scratch(100)
vae.visualize_latent_space(nx=20)
| 46.865724 | 116 | 0.6966 | 1,660 | 13,263 | 5.225301 | 0.046386 | 0.068481 | 0.058105 | 0.038045 | 0.949389 | 0.944778 | 0.939013 | 0.927715 | 0.923449 | 0.923449 | 0 | 0.044786 | 0.19528 | 13,263 | 282 | 117 | 47.031915 | 0.767919 | 0.097188 | 0 | 0.723005 | 0 | 0 | 0.054144 | 0.032231 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.032864 | 0 | 0.032864 | 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 |
d63180f401d45303e4bbe66f6f3162a436f72430 | 13,929 | py | Python | trading-app/abis_and_keys.py | mostafajoma/project-3 | 60c8e96f33cdc13634d6cd5bb4c3971ff20346c7 | [
"Apache-2.0"
] | 2 | 2020-06-03T23:18:32.000Z | 2020-06-24T23:15:43.000Z | trading-app/abis_and_keys.py | mostafajoma/PEConnect | 60c8e96f33cdc13634d6cd5bb4c3971ff20346c7 | [
"Apache-2.0"
] | null | null | null | trading-app/abis_and_keys.py | mostafajoma/PEConnect | 60c8e96f33cdc13634d6cd5bb4c3971ff20346c7 | [
"Apache-2.0"
] | null | null | null | # Contract address for Sale Deployer
owner_address = '<Insert address contract is deployed from>'
owner_private_key = '<Insert key to above account>'
deployer_contract_address = '<Insert address of Sale Deployer contract>'
# ABI for Sale Deployer
deployer_abi = '''[
{
"inputs": [
{
"internalType": "string",
"name": "name",
"type": "string"
},
{
"internalType": "string",
"name": "symbol",
"type": "string"
},
{
"internalType": "address payable",
"name": "wallet",
"type": "address"
},
{
"internalType": "uint256",
"name": "goal",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "nonpayable",
"type": "constructor"
},
{
"constant": true,
"inputs": [],
"name": "token_address",
"outputs": [
{
"internalType": "address",
"name": "",
"type": "address"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "token_sale_address",
"outputs": [
{
"internalType": "address",
"name": "",
"type": "address"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
}
]'''
coin_abi = '''[
{
"inputs": [
{
"internalType": "string",
"name": "name",
"type": "string"
},
{
"internalType": "string",
"name": "symbol",
"type": "string"
},
{
"internalType": "uint256",
"name": "initial_supply",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "nonpayable",
"type": "constructor"
},
{
"anonymous": false,
"inputs": [
{
"indexed": true,
"internalType": "address",
"name": "owner",
"type": "address"
},
{
"indexed": true,
"internalType": "address",
"name": "spender",
"type": "address"
},
{
"indexed": false,
"internalType": "uint256",
"name": "value",
"type": "uint256"
}
],
"name": "Approval",
"type": "event"
},
{
"anonymous": false,
"inputs": [
{
"indexed": true,
"internalType": "address",
"name": "account",
"type": "address"
}
],
"name": "MinterAdded",
"type": "event"
},
{
"anonymous": false,
"inputs": [
{
"indexed": true,
"internalType": "address",
"name": "account",
"type": "address"
}
],
"name": "MinterRemoved",
"type": "event"
},
{
"anonymous": false,
"inputs": [
{
"indexed": true,
"internalType": "address",
"name": "from",
"type": "address"
},
{
"indexed": true,
"internalType": "address",
"name": "to",
"type": "address"
},
{
"indexed": false,
"internalType": "uint256",
"name": "value",
"type": "uint256"
}
],
"name": "Transfer",
"type": "event"
},
{
"constant": false,
"inputs": [
{
"internalType": "address",
"name": "account",
"type": "address"
}
],
"name": "addMinter",
"outputs": [],
"payable": false,
"stateMutability": "nonpayable",
"type": "function"
},
{
"constant": true,
"inputs": [
{
"internalType": "address",
"name": "owner",
"type": "address"
},
{
"internalType": "address",
"name": "spender",
"type": "address"
}
],
"name": "allowance",
"outputs": [
{
"internalType": "uint256",
"name": "",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": false,
"inputs": [
{
"internalType": "address",
"name": "spender",
"type": "address"
},
{
"internalType": "uint256",
"name": "amount",
"type": "uint256"
}
],
"name": "approve",
"outputs": [
{
"internalType": "bool",
"name": "",
"type": "bool"
}
],
"payable": false,
"stateMutability": "nonpayable",
"type": "function"
},
{
"constant": true,
"inputs": [
{
"internalType": "address",
"name": "account",
"type": "address"
}
],
"name": "balanceOf",
"outputs": [
{
"internalType": "uint256",
"name": "",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "decimals",
"outputs": [
{
"internalType": "uint8",
"name": "",
"type": "uint8"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": false,
"inputs": [
{
"internalType": "address",
"name": "spender",
"type": "address"
},
{
"internalType": "uint256",
"name": "subtractedValue",
"type": "uint256"
}
],
"name": "decreaseAllowance",
"outputs": [
{
"internalType": "bool",
"name": "",
"type": "bool"
}
],
"payable": false,
"stateMutability": "nonpayable",
"type": "function"
},
{
"constant": false,
"inputs": [
{
"internalType": "address",
"name": "spender",
"type": "address"
},
{
"internalType": "uint256",
"name": "addedValue",
"type": "uint256"
}
],
"name": "increaseAllowance",
"outputs": [
{
"internalType": "bool",
"name": "",
"type": "bool"
}
],
"payable": false,
"stateMutability": "nonpayable",
"type": "function"
},
{
"constant": true,
"inputs": [
{
"internalType": "address",
"name": "account",
"type": "address"
}
],
"name": "isMinter",
"outputs": [
{
"internalType": "bool",
"name": "",
"type": "bool"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": false,
"inputs": [
{
"internalType": "address",
"name": "account",
"type": "address"
},
{
"internalType": "uint256",
"name": "amount",
"type": "uint256"
}
],
"name": "mint",
"outputs": [
{
"internalType": "bool",
"name": "",
"type": "bool"
}
],
"payable": false,
"stateMutability": "nonpayable",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "name",
"outputs": [
{
"internalType": "string",
"name": "",
"type": "string"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": false,
"inputs": [],
"name": "renounceMinter",
"outputs": [],
"payable": false,
"stateMutability": "nonpayable",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "symbol",
"outputs": [
{
"internalType": "string",
"name": "",
"type": "string"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "totalSupply",
"outputs": [
{
"internalType": "uint256",
"name": "",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": false,
"inputs": [
{
"internalType": "address",
"name": "recipient",
"type": "address"
},
{
"internalType": "uint256",
"name": "amount",
"type": "uint256"
}
],
"name": "transfer",
"outputs": [
{
"internalType": "bool",
"name": "",
"type": "bool"
}
],
"payable": false,
"stateMutability": "nonpayable",
"type": "function"
},
{
"constant": false,
"inputs": [
{
"internalType": "address",
"name": "sender",
"type": "address"
},
{
"internalType": "address",
"name": "recipient",
"type": "address"
},
{
"internalType": "uint256",
"name": "amount",
"type": "uint256"
}
],
"name": "transferFrom",
"outputs": [
{
"internalType": "bool",
"name": "",
"type": "bool"
}
],
"payable": false,
"stateMutability": "nonpayable",
"type": "function"
}
]'''
# ABI for Crowdsale
sale_abi = '''[
{
"inputs": [
{
"internalType": "uint256",
"name": "rate",
"type": "uint256"
},
{
"internalType": "string",
"name": "name",
"type": "string"
},
{
"internalType": "string",
"name": "symbol",
"type": "string"
},
{
"internalType": "address payable",
"name": "wallet",
"type": "address"
},
{
"internalType": "contract PupperCoin",
"name": "token",
"type": "address"
},
{
"internalType": "uint256",
"name": "goal",
"type": "uint256"
},
{
"internalType": "uint256",
"name": "open",
"type": "uint256"
},
{
"internalType": "uint256",
"name": "close",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "nonpayable",
"type": "constructor"
},
{
"anonymous": false,
"inputs": [],
"name": "CrowdsaleFinalized",
"type": "event"
},
{
"anonymous": false,
"inputs": [
{
"indexed": false,
"internalType": "uint256",
"name": "prevClosingTime",
"type": "uint256"
},
{
"indexed": false,
"internalType": "uint256",
"name": "newClosingTime",
"type": "uint256"
}
],
"name": "TimedCrowdsaleExtended",
"type": "event"
},
{
"anonymous": false,
"inputs": [
{
"indexed": true,
"internalType": "address",
"name": "purchaser",
"type": "address"
},
{
"indexed": true,
"internalType": "address",
"name": "beneficiary",
"type": "address"
},
{
"indexed": false,
"internalType": "uint256",
"name": "value",
"type": "uint256"
},
{
"indexed": false,
"internalType": "uint256",
"name": "amount",
"type": "uint256"
}
],
"name": "TokensPurchased",
"type": "event"
},
{
"payable": true,
"stateMutability": "payable",
"type": "fallback"
},
{
"constant": true,
"inputs": [
{
"internalType": "address",
"name": "account",
"type": "address"
}
],
"name": "balanceOf",
"outputs": [
{
"internalType": "uint256",
"name": "",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": false,
"inputs": [
{
"internalType": "address",
"name": "beneficiary",
"type": "address"
}
],
"name": "buyTokens",
"outputs": [],
"payable": true,
"stateMutability": "payable",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "cap",
"outputs": [
{
"internalType": "uint256",
"name": "",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "capReached",
"outputs": [
{
"internalType": "bool",
"name": "",
"type": "bool"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": false,
"inputs": [
{
"internalType": "address payable",
"name": "refundee",
"type": "address"
}
],
"name": "claimRefund",
"outputs": [],
"payable": false,
"stateMutability": "nonpayable",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "closingTime",
"outputs": [
{
"internalType": "uint256",
"name": "",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": false,
"inputs": [],
"name": "finalize",
"outputs": [],
"payable": false,
"stateMutability": "nonpayable",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "finalized",
"outputs": [
{
"internalType": "bool",
"name": "",
"type": "bool"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "goal",
"outputs": [
{
"internalType": "uint256",
"name": "",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "goalReached",
"outputs": [
{
"internalType": "bool",
"name": "",
"type": "bool"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "hasClosed",
"outputs": [
{
"internalType": "bool",
"name": "",
"type": "bool"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "isOpen",
"outputs": [
{
"internalType": "bool",
"name": "",
"type": "bool"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "openingTime",
"outputs": [
{
"internalType": "uint256",
"name": "",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "rate",
"outputs": [
{
"internalType": "uint256",
"name": "",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "token",
"outputs": [
{
"internalType": "contract IERC20",
"name": "",
"type": "address"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "wallet",
"outputs": [
{
"internalType": "address payable",
"name": "",
"type": "address"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": true,
"inputs": [],
"name": "weiRaised",
"outputs": [
{
"internalType": "uint256",
"name": "",
"type": "uint256"
}
],
"payable": false,
"stateMutability": "view",
"type": "function"
},
{
"constant": false,
"inputs": [
{
"internalType": "address",
"name": "beneficiary",
"type": "address"
}
],
"name": "withdrawTokens",
"outputs": [],
"payable": false,
"stateMutability": "nonpayable",
"type": "function"
}
]''' | 15.900685 | 72 | 0.495082 | 1,028 | 13,929 | 6.696498 | 0.093385 | 0.060721 | 0.145119 | 0.103574 | 0.855462 | 0.827426 | 0.805636 | 0.763074 | 0.739105 | 0.718332 | 0 | 0.016863 | 0.267715 | 13,929 | 876 | 73 | 15.900685 | 0.658039 | 0.005313 | 0 | 0.638596 | 0 | 0 | 0.989027 | 0.004837 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c39ac12d7daaf2faf1d9e8f9ad05d358665528fd | 253 | py | Python | tests/data/fmtonoff3.py | rbenton/black | 2bae41f92ed125f687e0ddef3a5913cda755a64f | [
"MIT"
] | null | null | null | tests/data/fmtonoff3.py | rbenton/black | 2bae41f92ed125f687e0ddef3a5913cda755a64f | [
"MIT"
] | null | null | null | tests/data/fmtonoff3.py | rbenton/black | 2bae41f92ed125f687e0ddef3a5913cda755a64f | [
"MIT"
] | null | null | null | # fmt: off
x = [
1, 2,
3, 4,
]
# fmt: on
# fmt: off
x = [
1, 2,
3, 4,
]
# fmt: on
x = [
1, 2, 3, 4
]
# output
# fmt: off
x = [
1, 2,
3, 4,
]
# fmt: on
# fmt: off
x = [
1, 2,
3, 4,
]
# fmt: on
x = [ 1, 2, 3, 4 ]
| 7.027778 | 18 | 0.316206 | 47 | 253 | 1.702128 | 0.191489 | 0.15 | 0.225 | 0.3 | 0.925 | 0.925 | 0.925 | 0.925 | 0.925 | 0.925 | 0 | 0.175182 | 0.458498 | 253 | 35 | 19 | 7.228571 | 0.408759 | 0.29249 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
c3e5f94ce119d23b76806f4351cfffbaffe22774 | 15,074 | py | Python | test/test_information.py | thyamu/Neet | cdc55fdb25700e44bcdb4f496b91d21a61a81c83 | [
"MIT"
] | null | null | null | test/test_information.py | thyamu/Neet | cdc55fdb25700e44bcdb4f496b91d21a61a81c83 | [
"MIT"
] | null | null | null | test/test_information.py | thyamu/Neet | cdc55fdb25700e44bcdb4f496b91d21a61a81c83 | [
"MIT"
] | null | null | null | import numpy as np
import unittest
from neet.boolean.examples import s_pombe
from neet.information import Architecture
class TestInformation(unittest.TestCase):
"""
Test the information analysis module
"""
def test_canary(self):
"""
A canary test to ensure the test suite is working
"""
self.assertEqual(3, 1 + 2)
# def test_active_info_not_network(self):
# """
# Raise a ``TypeError`` if the provided network is not actually a network
# """
# with self.assertRaises(TypeError):
# active_information(5, k=3, timesteps=10, local=False)
# with self.assertRaises(TypeError):
# active_information(5, k=3, timesteps=10, local=True)
#
# def test_active_info_s_pombe(self):
# """
# ``active_information`` computes the correct values for ``s_pombe``
# """
# known_ai = [0.0, 0.408344, 0.629567, 0.629567, 0.379157, 0.400462,
# 0.670196, 0.670196, 0.391891]
# computed_ai = active_information(s_pombe, k=5, timesteps=20)
# self.assertEqual(9, len(computed_ai))
# for got, expected in zip(computed_ai, known_ai):
# self.assertAlmostEqual(expected, got, places=6)
#
# def test_local_active_info_s_pombe(self):
# """
# local ``active_information`` averages to the correct values for
# ``s_pombe``
# """
# known_ai = [0.0, 0.408344, 0.629567, 0.629567, 0.379157, 0.400462,
# 0.670196, 0.670196, 0.391891]
# computed_ai = active_information(
# s_pombe, k=5, timesteps=20, local=True)
# self.assertEqual((9, 512, 16), computed_ai.shape)
# for got, expected in zip(computed_ai, known_ai):
# self.assertAlmostEqual(expected, np.mean(got), places=6)
#
# def test_entropy_rate_not_network(self):
# """
# Raise a ``TypeError`` if the provided network is not actually a network
# """
# with self.assertRaises(TypeError):
# entropy_rate(5, k=3, timesteps=10, local=False)
# with self.assertRaises(TypeError):
# entropy_rate(5, k=3, timesteps=10, local=True)
#
# def test_entropy_rate_s_pombe(self):
# """
# ``entropy_rate`` computes the correct values for ``s_pombe``
# """
# known_er = [0.0, 0.016912, 0.072803, 0.072803, 0.058420, 0.024794,
# 0.032173, 0.032173, 0.089669]
# computed_er = entropy_rate(s_pombe, k=5, timesteps=20)
# self.assertEqual(9, len(computed_er))
# for got, expected in zip(computed_er, known_er):
# self.assertAlmostEqual(expected, got, places=6)
#
# def test_local_entropy_rate_s_pombe(self):
# """
# local ``entropy_rate`` averages to the correct values for ``s_pombe``
# """
# known_er = [0.0, 0.016912, 0.072803, 0.072803, 0.058420, 0.024794,
# 0.032173, 0.032173, 0.089669]
# computed_er = entropy_rate(s_pombe, k=5, timesteps=20, local=True)
# self.assertEqual((9, 512, 16), computed_er.shape)
# for got, expected in zip(computed_er, known_er):
# self.assertAlmostEqual(expected, np.mean(got), places=6)
#
# def test_transfer_entropy_not_network(self):
# """
# Raise a ``TypeError`` if the provided network is not actually a network
# """
# with self.assertRaises(TypeError):
# transfer_entropy(5, k=3, timesteps=10, local=False)
# with self.assertRaises(TypeError):
# transfer_entropy(5, k=3, timesteps=10, local=True)
#
# def test_transfer_entropy_s_pombe(self):
# """
# ``transfer_entropy`` computes the correct values for ``s_pombe``
# """
# known_te = np.asarray(
# [[0., 0., 0., 0., 0., 0., 0., 0., 0.],
# [0., 0., 0., 0., 0.016912, 0., 0., 0., 0.],
# [0., 0.051370, 0., 0.012225, 0.019947,
# 0.051370, 0.006039, 0.006039, 0.072803],
# [0., 0.051370, 0.012225, 0., 0.019947,
# 0.051370, 0.006039, 0.006039, 0.072803],
# [0., 0.058420, 0.047602, 0.047602, 0.,
# 0.058420, 0.047602, 0.047602, 0.],
# [0., 0., 0.024794, 0.024794, 0., 0., 0.024794, 0.024794, 0.],
# [0., 0.016690, 0.004526, 0.004526, 0.011916,
# 0.016690, 0., 0.002983, 0.032173],
# [0., 0.016690, 0.004526, 0.004526, 0.011916,
# 0.016690, 0.002983, 0., 0.032173],
# [0., 0.060304, 0.048289, 0.048289, 0.089669, 0.060304,
# 0.048927, 0.048927, 0.]])
# computed_te = transfer_entropy(s_pombe, k=5, timesteps=20)
# self.assertEqual(known_te.shape, computed_te.shape)
# for got, expected in zip(computed_te.flatten(), known_te.flatten()):
# self.assertAlmostEqual(expected, got, places=6)
#
# def test_local_transfer_entropy_s_pombe(self):
# """
# local ``transfer_entropy`` averages to the correct values for
# ``s_pombe``
# """
# known_te = np.asarray(
# [[0., 0., 0., 0., 0., 0., 0., 0., 0.],
# [0., 0., 0., 0., 0.016912, 0., 0., 0., 0.],
# [0., 0.051370, 0., 0.012225, 0.019947,
# 0.051370, 0.006039, 0.006039, 0.072803],
# [0., 0.051370, 0.012225, 0., 0.019947,
# 0.051370, 0.006039, 0.006039, 0.072803],
# [0., 0.058420, 0.047602, 0.047602, 0.,
# 0.058420, 0.047602, 0.047602, 0.],
# [0., 0., 0.024794, 0.024794, 0., 0., 0.024794, 0.024794, 0.],
# [0., 0.016690, 0.004526, 0.004526, 0.011916,
# 0.016690, 0., 0.002983, 0.032173],
# [0., 0.016690, 0.004526, 0.004526, 0.011916,
# 0.016690, 0.002983, 0., 0.032173],
# [0., 0.060304, 0.048289, 0.048289, 0.089669, 0.060304,
# 0.048927, 0.048927, 0.]])
# computed_te = transfer_entropy(s_pombe, k=5, timesteps=20, local=True)
# self.assertEqual((9, 9, 512, 16), computed_te.shape)
# for i in range(9):
# for j in range(9):
# self.assertAlmostEqual(
# known_te[i, j], np.mean(computed_te[i, j]), places=6)
#
# def test_mutual_information_not_network(self):
# """
# Raise a ``TypeError`` if the provided network is not actually a network
# """
# with self.assertRaises(TypeError):
# mutual_information(5, timesteps=10, local=False)
# with self.assertRaises(TypeError):
# mutual_information(5, timesteps=10, local=True)
#
# def test_mutual_information_s_pombe(self):
# """
# ``mutual_information`` computes the correct values for ``s_pombe``
# """
# known_mi = np.asarray(
# [[0.162326, 0.013747, 0.004285, 0.004285, 0.013409, 0.015862,
# 0.005170, 0.005170, 0.011028],
# [0.013747, 0.566610, 0.007457, 0.007457, 0.006391, 0.327908,
# 0.006761, 0.006761, 0.004683],
# [0.004285, 0.007457, 0.838373, 0.475582, 0.211577, 0.004329,
# 0.459025, 0.459025, 0.127557],
# [0.004285, 0.007457, 0.475582, 0.838373, 0.211577, 0.004329,
# 0.459025, 0.459025, 0.127557],
# [0.013409, 0.006391, 0.211577, 0.211577, 0.574591, 0.007031,
# 0.175608, 0.175608, 0.012334],
# [0.015862, 0.327908, 0.004329, 0.004329, 0.007031, 0.519051,
# 0.006211, 0.006211, 0.002607],
# [0.005170, 0.006761, 0.459025, 0.459025, 0.175608, 0.006211,
# 0.808317, 0.493495, 0.103905],
# [0.005170, 0.006761, 0.459025, 0.459025, 0.175608, 0.006211,
# 0.493495, 0.808317, 0.103905],
# [0.011028, 0.004683, 0.127557, 0.127557, 0.012334, 0.002607,
# 0.103905, 0.103905, 0.634238]])
# computed_mi = mutual_information(s_pombe, timesteps=20)
# self.assertEqual(known_mi.shape, computed_mi.shape)
# for got, expected in zip(computed_mi.flatten(), known_mi.flatten()):
# self.assertAlmostEqual(expected, got, places=6)
#
# def test_local_mutual_information_s_pombe(self):
# """
# local ``mutual_information`` averages to the correct values for
# ``s_pombe``
# """
# known_mi = np.asarray(
# [[0.162326, 0.013747, 0.004285, 0.004285, 0.013409, 0.015862,
# 0.005170, 0.005170, 0.011028],
# [0.013747, 0.566610, 0.007457, 0.007457, 0.006391, 0.327908,
# 0.006761, 0.006761, 0.004683],
# [0.004285, 0.007457, 0.838373, 0.475582, 0.211577, 0.004329,
# 0.459025, 0.459025, 0.127557],
# [0.004285, 0.007457, 0.475582, 0.838373, 0.211577, 0.004329,
# 0.459025, 0.459025, 0.127557],
# [0.013409, 0.006391, 0.211577, 0.211577, 0.574591, 0.007031,
# 0.175608, 0.175608, 0.012334],
# [0.015862, 0.327908, 0.004329, 0.004329, 0.007031, 0.519051,
# 0.006211, 0.006211, 0.002607],
# [0.005170, 0.006761, 0.459025, 0.459025, 0.175608, 0.006211,
# 0.808317, 0.493495, 0.103905],
# [0.005170, 0.006761, 0.459025, 0.459025, 0.175608, 0.006211,
# 0.493495, 0.808317, 0.103905],
# [0.011028, 0.004683, 0.127557, 0.127557, 0.012334, 0.002607,
# 0.103905, 0.103905, 0.634238]])
# computed_mi = mutual_information(s_pombe, timesteps=20, local=True)
# self.assertEqual((9, 9, 512, 21), computed_mi.shape)
# for i in range(9):
# for j in range(9):
# self.assertAlmostEqual(
# known_mi[i, j], np.mean(computed_mi[i, j]), places=6)
def test_architecture_ai(self):
"""
The architecture correctly computes the active information
"""
k, timesteps = 5, 20
arch = Architecture(s_pombe, k=k, timesteps=timesteps)
expected_ai = np.asarray([0.0, 0.408344, 0.629567, 0.629567, 0.379157,
0.400462, 0.670196, 0.670196, 0.391891])
got_ai = arch.active_information()
self.assertEqual(got_ai.shape, expected_ai.shape)
self.assertTrue(np.allclose(got_ai, expected_ai, atol=1e-6))
got_ai = arch.active_information(local=True)
self.assertEqual((9, 512, 16), got_ai.shape)
self.assertTrue(np.allclose(np.mean(got_ai, axis=(1, 2)), expected_ai, atol=1e-6))
def test_architecture_er(self):
"""
The architecture correctly computes the entropy rate
"""
k, timesteps = 5, 20
arch = Architecture(s_pombe, k=k, timesteps=timesteps)
expected_er = np.asarray([0.0, 0.016912, 0.072803, 0.072803, 0.058420,
0.024794, 0.032173, 0.032173, 0.089669])
got_er = arch.entropy_rate()
self.assertEqual(got_er.shape, expected_er.shape)
self.assertTrue(np.allclose(got_er, expected_er, atol=1e-6))
got_er = arch.entropy_rate(local=True)
self.assertEqual((9, 512, 16), got_er.shape)
self.assertTrue(np.allclose(np.mean(got_er, axis=(1, 2)), expected_er, atol=1e-6))
def test_architecture_te(self):
"""
The architecture correctly computes the transfer entropy
"""
k, timesteps = 5, 20
arch = Architecture(s_pombe, k=k, timesteps=timesteps)
expected_te = np.asarray(
[[0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000,
0.000000, 0.000000, 0.000000],
[0.000000, 0.000000, 0.000000, 0.000000, 0.016912, 0.000000,
0.000000, 0.000000, 0.000000],
[0.000000, 0.051370, 0.000000, 0.012225, 0.019947, 0.051370,
0.006039, 0.006039, 0.072803],
[0.000000, 0.051370, 0.012225, 0.000000, 0.019947, 0.051370,
0.006039, 0.006039, 0.072803],
[0.000000, 0.058420, 0.047602, 0.047602, 0.000000, 0.058420,
0.047602, 0.047602, 0.000000],
[0.000000, 0.000000, 0.024794, 0.024794, 0.000000, 0.000000,
0.024794, 0.024794, 0.000000],
[0.000000, 0.016690, 0.004526, 0.004526, 0.011916, 0.016690,
0.000000, 0.002983, 0.032173],
[0.000000, 0.016690, 0.004526, 0.004526, 0.011916, 0.016690,
0.002983, 0.000000, 0.032173],
[0.000000, 0.060304, 0.048289, 0.048289, 0.089669, 0.060304,
0.048927, 0.048927, 0.000000]])
got_te = arch.transfer_entropy()
self.assertEqual(got_te.shape, expected_te.shape)
self.assertTrue(np.allclose(got_te, expected_te, atol=1e-6))
got_te = arch.transfer_entropy(local=True)
self.assertEqual((9, 9, 512, 16), got_te.shape)
self.assertTrue(np.allclose(np.mean(got_te, axis=(2, 3)), expected_te, atol=1e-6))
def test_architecture_mi(self):
"""
The architecture correctly computes the mutual information
"""
k, timesteps = 5, 20
arch = Architecture(s_pombe, k=k, timesteps=timesteps)
expected_mi = np.asarray(
[[0.162326, 0.013747, 0.004285, 0.004285, 0.013409, 0.015862,
0.005170, 0.005170, 0.011028],
[0.013747, 0.566610, 0.007457, 0.007457, 0.006391, 0.327908,
0.006761, 0.006761, 0.004683],
[0.004285, 0.007457, 0.838373, 0.475582, 0.211577, 0.004329,
0.459025, 0.459025, 0.127557],
[0.004285, 0.007457, 0.475582, 0.838373, 0.211577, 0.004329,
0.459025, 0.459025, 0.127557],
[0.013409, 0.006391, 0.211577, 0.211577, 0.574591, 0.007031,
0.175608, 0.175608, 0.012334],
[0.015862, 0.327908, 0.004329, 0.004329, 0.007031, 0.519051,
0.006211, 0.006211, 0.002607],
[0.005170, 0.006761, 0.459025, 0.459025, 0.175608, 0.006211,
0.808317, 0.493495, 0.103905],
[0.005170, 0.006761, 0.459025, 0.459025, 0.175608, 0.006211,
0.493495, 0.808317, 0.103905],
[0.011028, 0.004683, 0.127557, 0.127557, 0.012334, 0.002607,
0.103905, 0.103905, 0.634238]])
got_mi = arch.mutual_information()
self.assertEqual(got_mi.shape, expected_mi.shape)
self.assertTrue(np.allclose(got_mi, expected_mi, atol=1e-6))
got_mi = arch.mutual_information(local=True)
self.assertEqual((9, 9, 512, 21), got_mi.shape)
self.assertTrue(np.allclose(np.mean(got_mi, axis=(2, 3)), expected_mi, atol=1e-6))
| 48.159744 | 90 | 0.549224 | 2,022 | 15,074 | 3.997527 | 0.073689 | 0.019795 | 0.017073 | 0.014846 | 0.902388 | 0.828776 | 0.77397 | 0.764815 | 0.725226 | 0.704441 | 0 | 0.330553 | 0.300186 | 15,074 | 312 | 91 | 48.314103 | 0.435681 | 0.597519 | 0 | 0.211765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.058824 | false | 0 | 0.047059 | 0 | 0.117647 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
615f2820e948fc9a2b7622cf13f33e797ef92afa | 143 | py | Python | mmseg/utils/__init__.py | wzpscott/SegformerDistillation | 6558757f5071251410e90270e197755860a6f41c | [
"DOC"
] | 903 | 2021-06-13T04:45:03.000Z | 2022-03-31T13:21:50.000Z | mmseg/utils/__init__.py | zots0127/SegFormer | 93301b33d7b7634b018386681be3a640f5979957 | [
"DOC"
] | 72 | 2021-06-13T13:01:49.000Z | 2022-03-30T09:19:34.000Z | mmseg/utils/__init__.py | zots0127/SegFormer | 93301b33d7b7634b018386681be3a640f5979957 | [
"DOC"
] | 140 | 2021-06-13T12:24:39.000Z | 2022-03-31T12:57:14.000Z | from .collect_env import collect_env
from .logger import get_root_logger, print_log
__all__ = ['get_root_logger', 'collect_env', 'print_log']
| 28.6 | 57 | 0.797203 | 22 | 143 | 4.590909 | 0.454545 | 0.29703 | 0.257426 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.104895 | 143 | 4 | 58 | 35.75 | 0.789063 | 0 | 0 | 0 | 0 | 0 | 0.244755 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0.666667 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 7 |
61a975eb9e30dc79b2f4fa800163b8280c435d06 | 57,774 | py | Python | Agents/DepreciatedClasses/Minimax.py | karlflores/WatchYourBackProject | 00a7c32e46ea0b75580d17ea6a22372e4a005627 | [
"Unlicense"
] | null | null | null | Agents/DepreciatedClasses/Minimax.py | karlflores/WatchYourBackProject | 00a7c32e46ea0b75580d17ea6a22372e4a005627 | [
"Unlicense"
] | null | null | null | Agents/DepreciatedClasses/Minimax.py | karlflores/WatchYourBackProject | 00a7c32e46ea0b75580d17ea6a22372e4a005627 | [
"Unlicense"
] | null | null | null | '''
* Implements the mini-max algorithm based on the minimax_mode structure
* and the player file
'''
from math import inf
from Agents.Minimax_Node import Node, UndoNode
from Constants import constant
from DepreciatedBoard.Board import Board
from Evaluation.Policies import Evaluation
from copy import deepcopy
from time import time, sleep
'''
THIS CLASS A DEPRECIATED AND NO LONGER IS IN USE -- BROKEN CODE
SWITCHED TO NEGAMAX INSTEAD OF THIS
'''
class MinimaxAB(object):
def __init__(self):
# we want to create a node
self.visited = set()
'''
* Alpha Beta - Minimax Driver Function
'''
def iterative_deepening_alpha_beta(self,root):
MAX_ITER = 20
# default policy
if len(root.available_moves) == 0:
return None
else:
move = root.available_moves[0]
# time allocated per move in ms
time_alloc = 1000
# get time
start_time = Minimax.curr_millisecond_time()
# iterative deepening begins here
for depth in range(1, MAX_ITER):
print(depth)
move = self.alpha_beta_minimax(depth, root)
sleep(0.05)
if Minimax.curr_millisecond_time() - start_time > time_alloc:
break
return move
@staticmethod
def curr_millisecond_time():
return int(time()*1000)
def alpha_beta_minimax(self,depth,root):
self.visited = set()
# print the available mvoes of the alpha beta call
#print(root.available_moves)
#print("*"*20)
#root.board.print_board()
#print("*"*20)
# generate the child nodes of the root node and run minimax on these
# nodes -- choose the node that has the best value
# initially the best move has not been found
# essentially we just need to do a min search on the child nodes
# of the root -- do this week alpha-beta pruning
best_move = None
alpha = -inf
beta = inf
evaluate = -inf
child_nodes = []
for action in root.available_moves:
child_nodes.append(Minimax.create_node(root.board, Board.get_opp_piece_type(root.colour),action))
child_nodes.sort(reverse=False)
for child in child_nodes:
# if there is a symmetry of the board state that matches a visited state
# then we can skip this node -- don't need to explore it anymore
if self.check_symmetry(child.board.board_state) is True:
continue
evaluate_min = self.min_value(child,depth-1,alpha,beta)
if evaluate_min > evaluate:
best_move = child.move_applied
evaluate = evaluate_min
alpha = max(evaluate, alpha)
if beta < alpha:
break
return best_move
# find the action associated with eval
def max_value(self,node, depth, alpha, beta):
evaluate = -inf
if Minimax.cutoff_test(node,depth):
return Minimax.evaluate_node(node)
# visit each available move
# print(node.available_moves)
child_nodes = []
for action in node.available_moves:
child_nodes.append(Minimax.create_node(node.board, Board.get_opp_piece_type(node.colour),action))
child_nodes.sort(reverse=False)
for child in child_nodes:
# if self.check_symmetry(child.board.board_state) is True:
# continue
# make a new node for each available node -- this child is now the opposite colour
# child = M inimax.create_node(node.board, DepreciatedBoard.get_opp_piece_type(node.colour), action)
# get the minimax value for this node
evaluate = max(evaluate, self.min_value(child, depth-1, alpha, beta))
alpha = max(evaluate,alpha)
if alpha >= beta:
break
node.minimax = evaluate
return evaluate
def min_value(self,node, depth, alpha, beta):
# beginning evaluation value
evaluate = inf
if Minimax.cutoff_test(node, depth):
return Minimax.evaluate_node(node)
# print(node.available_moves)
child_nodes = []
for action in node.available_moves:
# apply the move to the child node, this node is now the opposite colour
child_nodes.append(Minimax.create_node(node.board, Board.get_opp_piece_type(node.colour), action))
child_nodes.sort(reverse=True)
for child in child_nodes:
# need to check if this is valid -- skip over all previously visied symmetric nodes
#if self.check_symmetry(child.board.board_state) is True:
# print("xxxxxx")
# continue
evaluate = min(evaluate, self.max_value(child, depth-1, alpha, beta))
beta = min(beta, evaluate)
if beta <= alpha:
break
node.minimax = evaluate
return evaluate
@staticmethod
def create_node(board,colour,move):
# colour is the colour this player with the move from the previous player applied
# therefore move is the opposite colour player
# create a new node object based on the board
node = Node(board,colour)
if node is None:
return None
# apply the move to the board
node.move_applied = move
# apply this move to the node
if move is not None:
node.board.update_board(move, Board.get_opp_piece_type(colour))
else:
pass
#print("Move is None: WTFFFFFFF")
# get the available moves based on what phase the board is in
if node.board.phase == constant.PLACEMENT_PHASE and node.board.move_counter == 24:
node.board.phase = constant.MOVING_PHASE
node.board.move_counter = 0
if node.board.phase == constant.PLACEMENT_PHASE:
Minimax.update_available_nodes_placement(node)
elif node.board.phase == constant.MOVING_PHASE:
if node.board.move_counter == 24:
node.available_moves = []
# generate the moves that you can apply to this node
node.available_moves = Minimax.generate_moves(node, colour)
return node
@staticmethod
def generate_moves(node,colour):
available_moves = []
if node.board.phase == constant.MOVING_PHASE :
for move in node.board.piece_pos[colour]:
for move_type in range(constant.MAX_MOVETYPE):
if node.board.is_legal_move(move,move_type):
available_moves.append((move,move_type))
return available_moves
@staticmethod
def cutoff_test(node, depth):
if depth == 0:
return True
if Minimax.is_terminal(node):
return True
return False
@staticmethod
def evaluate_node(node):
return Evaluation.basic_policy(node.board,node.colour)
# update the available moves of the search algorithm after it has been instantiated
def update_available_moves(self, available_moves):
self.node.available_moves = available_moves
def update_board(self, board):
self.node.board = deepcopy(board)
@staticmethod
def is_terminal(node):
return node.is_leaf()
@staticmethod
def update_available_nodes_placement(node):
Minimax.init_placable_area(node)
for colour in (constant.BLACK_PIECE, constant.WHITE_PIECE):
for piece in node.board.piece_pos[colour]:
if piece in node.available_moves:
node.available_moves.remove(piece)
@staticmethod
def init_placable_area(node):
node.available_moves = []
for row in range(constant.BOARD_SIZE):
for col in range(constant.BOARD_SIZE):
if Board.within_starting_area((col,row),node.colour):
node.available_moves.append((col,row))
def check_symmetry(self,board_state):
transformation = Minimax.apply_horizontal_reflection(board_state)
board = deepcopy(board_state)
if transformation.decode("utf-8") in self.visited:
return True
else:
self.visited.add(board.decode("utf-8"))
return False
@staticmethod
def apply_horizontal_reflection(board_state):
temp = ''
for index in range(constant.BOARD_SIZE ** 2):
temp+= constant.FREE_SPACE
temp = bytearray(temp,'utf-8')
for row in range(constant.BOARD_SIZE):
for col in range(constant.BOARD_SIZE):
Board.set_array_char(temp,7-row,7-col,
Board.get_array_element(board_state,row,col))
#print(temp)
#print(board_state)
return temp
@staticmethod
def undo_move(node):
node.board.undo_move()
class MinimaxABUndo(object):
def __init__(self,board):
# we want to create a node
self.transposition_table = set()
# only use this board to complete the search
# save memory
self.board = deepcopy(board)
# test the dictionary for the available moves
# each piece has their available able
self.available_actions = {constant.WHITE_PIECE: {}, constant.BLACK_PIECE: {}}
# initialise the available actions
self.init_available_placement_actions()
# print(self.available_actions)
'''
* Alpha Beta - Minimax Driver Function
'''
def iterative_deepening_alpha_beta(self,root):
MAX_ITER = 20
# default policy
if len(root.available_moves) == 0:
return None
else:
move = root.available_moves[0]
# time allocated per move in ms
time_alloc = 1000
# get time
start_time = MinimaxAB.curr_millisecond_time()
# iterative deepening begins here
for depth in range(1, MAX_ITER):
print(depth)
move = self.alpha_beta_minimax(depth, root)
sleep(0.05)
if MinimaxAB.curr_millisecond_time() - start_time > time_alloc:
break
return move
@staticmethod
def curr_millisecond_time():
return int(time()*1000)
def alpha_beta_minimax(self,depth,root):
self.transposition_table = set()
# print the available mvoes of the alpha beta call
# print(root.available_moves)
# generate the child nodes of the root node and run minimax on these
# nodes -- choose the node that has the best value
# initially the best move has not been found
# essentially we just need to do a min search on the child nodes
# of the root -- do this week alpha-beta pruning
best_move = None
alpha = -inf
evaluate = -inf
beta = inf
i = 0
for action in root.available_moves:
# print("{} Action AB call".format(i))
child = self.create_node(Board.get_opp_piece_type(root.colour), action)
self.update_minimax_board(action, child)
'''
if self.board.phase == constant.PLACEMENT_PHASE:
if TranspositionTable.check_placement_sym(self.transposition_table,self.board.board_state) is True:
continue
elif self.board.phase == constant.MOVING_PHASE:
if TranspositionTable.check_already_visited(self.transposition_table, self.board.board_state):
continue
'''
ab_evaluate = self.min_value(child, depth-1, alpha, beta)
# print(ab_evaluate)
if ab_evaluate > evaluate:
best_move = child.move_applied
evaluate = ab_evaluate
self.undo_move()
'''
if evaluate >= beta:
# print(evaluate)
print("AB Best Value: ",end='')
print(evaluate, best_move)
return best_move
alpha = max(alpha, evaluate)
'''
# print(best_move)
# print(evaluate)
# print("AB Best Value: ",end='')
# print(evaluate, best_move)
return best_move
# find the action associated with eval
'''
# get a list of the available actions when minimax is called
available_actions = self.get_actions(root.colour)
# loop through all available actions
for action in available_actions:
child = self.create_node(DepreciatedBoard.get_opp_piece_type(root.colour),action)
# apply the action to the minimax board
self.update_minimax_board(action,child)
# update all the available actions of the minimax board
self.update_available_actions(action)
available_actions = self.get_actions(root.colour)
print(self.available_actions)
return
'''
def max_value(self, node, depth, alpha, beta):
evaluate = -inf
if self.cutoff_test(depth):
#print("MAX NODE VAL: ",end='')
#val = self.evaluate_node(node)
#print(val)
#return val
return self.evaluate_node(node.colour)
# visit each available move
#print("MAX MOVES: ",end='')
#print(node.available_moves)
for action in node.available_moves:
'''
if self.board.phase == constant.MOVING_PHASE:
if TranspositionTable.check_already_visited(self.transposition_table, self.board.board_state):
continue
'''
child = self.create_node(Board.get_opp_piece_type(node.colour), action)
# update the board representation with the move
self.update_minimax_board(action, child)
# self.board.print_board()
#print(node.available_moves)
#print(child.available_moves)
# if self.check_symmetry(child.board.board_state) is True:
# continue
# get the minimax value for this node
evaluate = max(evaluate, self.min_value(child, depth-1, alpha, beta))
#print(self.board.action_applied)
self.undo_move()
'''
if alpha >= beta:
#print("UNDO")
break
'''
if evaluate >= beta:
node.minimax = evaluate
# print("MAX Best Value: ",end='')
# print(evaluate)
return evaluate
alpha = max(evaluate,alpha)
# undo the move so that we can apply the next board move to evaluate minimax value
#print("UNDO 2")
#self.board.print_board()
#self.board.print_board()
# print("MAX Best Value: ",end='')
# print(evaluate)
node.minimax = evaluate
return evaluate
def min_value(self,node, depth, alpha, beta):
# print("CALLED MIN")
# beginning evaluation value
evaluate = inf
if self.cutoff_test(depth):
# val = self.evaluate_node(node)
# print("MIN NODE VAL: ",end='')
# print(val)
# return val
# print(self.evaluate_node(node))
return self.evaluate_node(node.colour)
# print("MIN MOVES: ",end='')
# print(node.available_moves)
for action in node.available_moves:
if self.board.phase == constant.MOVING_PHASE:
'''
if TranspositionTable.check_already_visited(self.transposition_table, self.board.board_state):
continue
'''
# apply the move to the child node, this node is now the opposite colour
child = self.create_node(Board.get_opp_piece_type(node.colour), action)
self.update_minimax_board(action, child)
# self.board.print_board()
# print("MIN UPDATE")
# self.board.print_board()
#print("\nMin Call")
#self.board.print_board()
evaluate = min(evaluate, self.max_value(child, depth-1, alpha, beta))
# print(action, evaluate)
self.undo_move()
'''
if beta <= alpha:
# when we break from the loop make sure to undo the move
break
'''
if evaluate <= alpha:
node.minimax = evaluate
# print("MIN Best Value: ",end='')
# print(evaluate)
return evaluate
beta = min(beta, evaluate)
# print("MIN Best Value: ",end='')
# print(evaluate)
node.minimax = evaluate
return evaluate
def create_node(self,colour, move):
# colour is the colour this player with the move from the previous player applied
# therefore move is the opposite colour player
# create a new node object based on the board
node = UndoNode(self.board, colour)
if node is None:
return None
# store the move applied to the board
node.move_applied = move
return node
def update_minimax_board(self,move,node,start_node=False):
# if the move is None -- this could be a forfeit of a move or it could be a start of a search
# apply this move to the node
if move is not None:
self.board.update_board(move, Board.get_opp_piece_type(node.colour))
elif move is None and self.board.move_counter is not 0:
# if the move is none and the counter is not zero this is a forfeit
self.board.move_counter += 1
self.board.set_player_to_move(self.board.get_opp_piece_type(self.board.player_to_move))
# update minimax board represents the start of the minimax search then we need to initalise
# the available moves
#print("Move is None: WTFFFFFFF")
# get the available moves based on what phase the board is in
'''
if self.board.phase == constant.PLACEMENT_PHASE and self.board.move_counter == 24:
self.board.phase = constant.MOVING_PHASE
self.board.move_counter = 0
'''
# print(self.board.phase,self.board.move_counter)
if self.board.phase == constant.PLACEMENT_PHASE:
self.update_available_nodes_placement(node)
# if the move is none then we need to initalise the available moves of the board
'''
if move is None and start_node is True:
# then this is the first node in the search -- initialise the placement actions
if self.board.move_counter == 0 or self.board.move_counter == 1:
self.start_available_actions_placement()
return
elif start_node is False:
# this is a start node but a move has been applied, therefore we just need to update the available
# moves list
#print(move)
self.update_available_placement(move)
#print(self.available_actions)
return
'''
elif self.board.phase == constant.MOVING_PHASE:
# generate the moves that you can apply to this node
node.available_moves = self.generate_moves(node.colour)
# this is the start to the search -- we don't want to update the available_moves list
'''
if start_node is True and move is None:
# if it is the start to the moving phase -- need to initialise
self.init_available_moving_actions()
return
elif start_node is False:
self.update_available_moves(move, node.colour)
return
'''
def generate_moves(self,colour):
available_moves = []
if self.board.phase == constant.MOVING_PHASE :
for move in self.board.piece_pos[colour]:
for move_type in range(constant.MAX_MOVETYPE):
if self.board.is_legal_move(move,move_type):
available_moves.append((move,move_type))
return available_moves
def cutoff_test(self, depth):
if depth == 0:
return True
if self.is_terminal(self.board):
return True
return False
'''
* NEED TO THINK ABOUT IF THIS FUNCTION JUST EVALUATES THE NODES AT THE ROOT STATE DUE TO THE UNDO MOVES
-- NEED TO TEST THIS OUT SOMEHOW, because other than that the algorithm is working as intended
-- Need to work out some optimisations of the algorithm though
'''
def evaluate_node(self, colour):
return Evaluation.basic_policy(self.board, colour)
# update the available moves of the search algorithm after it has been instantiated
#
#def update_available_moves(self, node, available_moves):
# node.available_moves = available_moves
def update_board(self, board):
self.board = deepcopy(board)
def is_terminal(self, board):
return board.is_terminal(self.board)
def update_available_nodes_placement(self, node):
MinimaxABUndo.init_placable_area(node)
for colour in (constant.BLACK_PIECE, constant.WHITE_PIECE):
for piece in self.board.piece_pos[colour]:
if piece in node.available_moves:
node.available_moves.remove(piece)
@staticmethod
def init_placable_area(node):
node.available_moves = []
for row in range(constant.BOARD_SIZE):
for col in range(constant.BOARD_SIZE):
if Board.within_starting_area((col,row),node.colour):
node.available_moves.append((col,row))
def check_symmetry(self,board_state):
transformation = MinimaxABUndo.apply_horizontal_reflection(board_state)
board = deepcopy(board_state)
if transformation.decode("utf-8") in self.visited:
return True
else:
self.visited.add(board.decode("utf-8"))
return False
@staticmethod
def apply_horizontal_reflection(board_state):
temp = ''
for index in range(constant.BOARD_SIZE ** 2):
temp+= constant.FREE_SPACE
temp = bytearray(temp,'utf-8')
for row in range(constant.BOARD_SIZE):
for col in range(constant.BOARD_SIZE):
Board.set_array_char(temp,7-row,7-col,
Board.get_array_element(board_state,row,col))
#print(temp)
#print(board_state)
return temp
def undo_move(self):
self.board.undo_move()
# then we need to recalculate the available moves based on the board representation
#self.generate_actions()
'''
#################################################################################
# METHODS FOR THE DICTIONARY REPRESENTATION OF THE AVAILABLE MOVES ON THE BOARD #
#
#
#
#
################################################################################
'''
# we update the available actions when we update the board representation
def generate_actions(self):
if self.board.phase == constant.PLACEMENT_PHASE:
self.init_available_placement_actions()
self.start_available_actions_placement()
elif self.board.phase == constant.MOVING_PHASE:
self.init_available_moving_actions()
def init_available_placement_actions(self):
# initialise the dictionary with the available placements on the board
for row in range(constant.BOARD_SIZE):
for col in range(constant.BOARD_SIZE):
piece = col,row
# print(col,row)
for colour in (constant.WHITE_PIECE, constant.BLACK_PIECE):
if Board.within_starting_area(piece, colour):
temp = {piece: constant.PLACEMENT_PHASE}
# print(temp)
self.available_actions[colour].update(temp)
def start_available_actions_placement(self):
# get rid of all pieces that exist on the board
for colour in (constant.BLACK_PIECE, constant.WHITE_PIECE):
for piece in self.board.piece_pos[colour]:
if piece in self.available_actions[colour]:
if Board.within_starting_area(piece,colour):
self.available_actions[colour].pop(piece)
def init_available_moving_actions(self):
for colour in (constant.WHITE_PIECE, constant.BLACK_PIECE):
for piece in self.available_actions[colour].keys():
self.update_actions_dict_entry(piece,colour)
# need to ensure that we call this after an update to the minimax board representation
def update_available_moves(self,action,colour):
# if there were any eliminated pieces last move retrieve them from the stack -- but make sure not to pop them
# off the stack completely
eliminated_pieces = self.board.eliminated_pieces_last_move(self.board.phase,self.board.move_counter,pop=False)
# action is in the form (position, movetype)
# -- i,e. we are moving the piece at position by the movetype
# -- when an action is called we have move that piece already and we need to change
# -- the entries in the dictionary according to that move
# colour is the colour of the piece we have moved
# read in the pieces on the board -- if they already exist in the dictionary
# then we dont need to do anything -- if they don't exist in the dictionary
# need to look at all the eliminated pieces on the board
# -- look for pieces in the vicinity of that space
# -- delete keys associated with those eliminated pieces as these are pieces on the board
# -- that do not exists anymore, therefore there are no associated moves with this piece
# -- update the available moves of the pieces that can move into that square
# need to update the available moves of the piece at its new location
# delete entry in the dictionary that corresponds to the old position
old_pos = action[0]
print(old_pos)
print(action)
new_pos = Board.convert_move_type_to_coord(old_pos, action[1])
# first we need to update the dictionary by removing the old piece from the
# dictionary -- as this is not an available move anymore
if old_pos in self.available_actions[colour]:
self.available_actions[colour].pop(old_pos)
else:
pass
# need to raise an error saying
# then add an entry into the dictionary corresponding to the new location of the piece
# after the move has been applied
if new_pos not in self.available_actions[colour]:
temp_list = self.get_piece_legal_moves(new_pos)
temp_dict = {new_pos: temp_list}
self.available_actions.update(temp_dict)
else:
pass
# need to raise an error
# remove all eliminated pieces from the dictionary
for piece_type in (constant.WHITE_PIECE, constant.BLACK_PIECE):
for piece in eliminated_pieces[piece_type]:
if piece in self.available_actions[piece_type]:
self.available_actions[piece_type].pop(piece)
else:
pass
# need to raise an error
# update any piece that is surrounding the old position but also any eliminated pieces and update
# their available moves by adding the corresponding move type to that list
# this old position is now a free space on the board and therefore pieces are able to now move into it
# need to test all positions surround this newly freed space and update their available actions
for move_type in range(constant.MAX_MOVETYPE):
# iterate through all the possible moves at the old location, checking
# whether or not there is a piece there
# if there is a piece at that location we can update that piece's available moves
piece = Board.convert_move_type_to_coord(old_pos,move_type)
for piece_colour in (constant.WHITE_PIECE, constant.BLACK_PIECE):
if piece in self.available_actions[piece_colour]:
if move_type < 4:
self.update_actions_dict_entry(piece,piece_colour)
else:
if self.board.can_jump_into_position(old_pos,move_type):
self.update_actions_dict_entry(piece,piece_colour)
# update the pieces around any eliminated pieces
for piece_colour in (constant.WHITE_PIECE, constant.BLACK_PIECE):
# iterate through all the eliminated pieces on the board
for elim_piece in eliminated_pieces[piece_colour]:
# for each eliminated piece we apply a move (move_type to it), checking if there is a piece
# at this position on the board, we do this by checking the available moves dictionary
# if there is a piece associated with that position on the board then if it is a one step move
# we just need to update that pieces available moves, if it is a jump, then we need to test if there
# is an adjacent piece between the jump and the free space -- do this by calling
# can_jump_into_position -- for a given space, if we apply a move_type corresponding to a
# two piece move, can we jump into this free spot
# if we can then we just need to update this pieces available actions
piece = Board.convert_move_type_to_coord(elim_piece,move_type)
# if this piece corresponds to an entry in the dictionary, then there is a piece at this location
if piece in self.available_actions[piece_colour]:
# one step moves
if move_type < 4:
self.update_actions_dict_entry(piece,piece_colour)
else:
# need to check if a jump is available into the free space
# if the piece at the jump location is in the available_action dict
if self.board.can_jump_into_position(elim_piece,move_type):
self.update_actions_dict_entry(piece,piece_colour)
# update the available moves of the pieces that surround where the
# new position of the piece is -- this is no longer an occupied space therefore pieces surrounding
# it cannot move into this space anymore
piece = Board.convert_move_type_to_coord(new_pos,move_type)
for piece_colour in (constant.WHITE_PIECE, constant.BLACK_PIECE):
if piece in self.available_actions[piece_colour]:
if move_type < 4:
self.update_actions_dict_entry(piece,piece_colour)
else:
# treat this old position as a free space -- if there are pieces
# that can jump into this piece we have to update these pieces available
# actions because this space is no longer free
if self.board.can_jump_into_position(new_pos,move_type):
self.update_actions_dict_entry(piece,piece_colour)
# HELPER METHOD THAT ALLOWS TO UPDATE A PARTICULAR PIECES AVAILABLE ACTIONS IN THE DICTIONARY
def update_actions_dict_entry(self,piece,colour):
temp_list = self.get_piece_legal_moves(piece)
update_entry = {piece: temp_list}
self.available_actions[colour].update(update_entry)
# get a list of the legal moves of a particular piece
def get_piece_legal_moves(self,piece):
available_moves = []
for move_type in range(constant.MAX_MOVETYPE):
if self.board.is_legal_move(piece, move_type):
available_moves.append(move_type)
return available_moves
def update_available_placement(self, action):
# to update the available actions in the placement phase we just need to read in the action made
# remove this entry from the dictionary
# add the entries of any eliminated positions in the dictionary
eliminated_pieces = self.board.eliminated_pieces_last_move(self.board.phase,self.board.move_counter,pop=False)
print("ELIMINATED: ",end='')
print(eliminated_pieces)
print("AVAILABLE: ",end='')
print(self.available_actions)
for colour in (constant.WHITE_PIECE, constant.BLACK_PIECE):
if Board.within_starting_area(action, colour):
# remove the action from the entry of the dictionary
if action in self.available_actions[colour]:
self.available_actions[colour].pop(action)
# add all the eliminated pieces to the available moves of the dictionary
for piece in eliminated_pieces[colour]:
if Board.within_starting_area(piece, colour):
if piece not in self.available_actions[colour]:
update_entry = {piece: constant.PLACEMENT_PHASE}
self.available_actions[colour].update(update_entry)
# return a list of actions corresponding to a particular board state
def get_actions(self,colour):
actions = []
if self.board.phase == constant.PLACEMENT_PHASE:
for key in self.available_actions[colour].keys():
# return a list containing the free spaces on the board that a player can place a piece into
actions.append(key)
return actions
elif self.board.phase == constant.MOVING_PHASE:
for key in self.available_actions[colour].keys():
for move_type in self.available_actions[colour][key]:
# return a list of the piece_position and the move it can make
actions.append((key,move_type))
return actions
class MinimaxUndo(object):
def __init__(self, board):
# we want to create a node
self.visited = set()
# only use this board to complete the search
# save memory
self.board = deepcopy(board)
# test the dictionary for the available moves
# each piece has their available able
self.available_actions = {constant.WHITE_PIECE: {}, constant.BLACK_PIECE: {}}
# initialise the available actions
self.init_available_placement_actions()
# print(self.available_actions)
'''
* Alpha Beta - Minimax Driver Function
'''
def iterative_deepening_alpha_beta(self, root):
MAX_ITER = 20
# default policy
if len(root.available_moves) == 0:
return None
else:
move = root.available_moves[0]
# time allocated per move in ms
time_alloc = 1000
# get time
start_time = Minimax.curr_millisecond_time()
# iterative deepening begins here
for depth in range(1, MAX_ITER):
print(depth)
move = self.alpha_beta_minimax(depth, root)
sleep(0.05)
if Minimax.curr_millisecond_time() - start_time > time_alloc:
break
return move
@staticmethod
def curr_millisecond_time():
return int(time() * 1000)
def alpha_beta_minimax(self, depth, root):
# print(root.available_moves)
# self.board.print_board()
self.visited = set()
# print the available mvoes of the alpha beta call
# print(root.available_moves)
# print("*"*20)
# root.board.print_board()
# print("*"*20)
# generate the child nodes of the root node and run minimax on these
# nodes -- choose the node that has the best value
# initially the best move has not been found
# essentially we just need to do a min search on the child nodes
# of the root -- do this week alpha-beta pruning
best_move = None
evaluate = -inf
i = 0
for action in root.available_moves:
# print("{} Action AB call".format(i))
child = self.create_node(Board.get_opp_piece_type(root.colour), action)
self.update_minimax_board(action, child)
# print("\nAB call")
# self.board.print_board()
if self.check_symmetry(self.board.board_state) is True:
continue
ab_evaluate = self.min_value(child, depth - 1)
if ab_evaluate > evaluate:
best_move = child.move_applied
evaluate = ab_evaluate
self.undo_move()
return best_move
# find the action associated with eval
'''
# get a list of the available actions when minimax is called
available_actions = self.get_actions(root.colour)
# loop through all available actions
for action in available_actions:
child = self.create_node(DepreciatedBoard.get_opp_piece_type(root.colour),action)
# apply the action to the minimax board
self.update_minimax_board(action,child)
# update all the available actions of the minimax board
self.update_available_actions(action)
available_actions = self.get_actions(root.colour)
print(self.available_actions)
return
'''
def max_value(self, node, depth):
# self.board.print_board()
# print(self.board.move_counter)
# print(self.board.phase)
# print(self.board.piece_pos)
# print(self.board.eliminated_pieces)
# print(node.available_moves)
evaluate = -inf
if self.cutoff_test(node, depth):
return self.evaluate_node(node.colour)
# visit each available move
# print(node.available_moves)
for action in node.available_moves:
# print(node.available_moves)
child = self.create_node(Board.get_opp_piece_type(node.colour), action)
# update the board representation with the move
self.update_minimax_board(action, child)
# print("\nMAX CALL")
# print("MAX UPDATE")
# self.board.print_board()
# print(node.available_moves)
# print(child.available_moves)
# if self.check_symmetry(child.board.board_state) is True:
# continue
# get the minimax value for this node
evaluate = max(evaluate, self.min_value(child, depth - 1))
# print(self.board.action_applied)
self.undo_move()
# undo the move so that we can apply the next board move to evaluate minimax value
# print("UNDO 2")
# self.board.print_board()
# self.board.print_board()
node.minimax = evaluate
return evaluate
def min_value(self, node, depth):
print("CALLED MIN")
# beginning evaluation value
evaluate = inf
if self.cutoff_test(node, depth):
self.evaluate_node(node)
return self.evaluate_node(node)
for action in node.available_moves:
# apply the move to the child node, this node is now the opposite colour
child = self.create_node(Board.get_opp_piece_type(node.colour), action)
self.update_minimax_board(action, child)
evaluate = min(evaluate, self.max_value(child, depth - 1))
print(evaluate)
self.undo_move()
node.minimax = evaluate
return evaluate
def create_node(self, colour, move):
# colour is the colour this player with the move from the previous player applied
# therefore move is the opposite colour player
# create a new node object based on the board
node = UndoNode(self.board, colour)
if node is None:
return None
# store the move applied to the board
node.move_applied = move
return node
def update_minimax_board(self, move, node, start_node=False):
# if the move is None -- this could be a forfeit of a move or it could be a start of a search
# apply this move to the node
if move is not None:
self.board.update_board(move, Board.get_opp_piece_type(node.colour))
elif move is None and self.board.move_counter is not 0:
# if the move is none and the counter is not zero this is a forfeit
self.board.move_counter += 1
self.board.set_player_to_move(self.board.get_opp_piece_type(self.board.player_to_move))
# update minimax board represents the start of the minimax search then we need to initalise
# the available moves
# print("Move is None: WTFFFFFFF")
# get the available moves based on what phase the board is in
'''
if self.board.phase == constant.PLACEMENT_PHASE and self.board.move_counter == 24:
self.board.phase = constant.MOVING_PHASE
self.board.move_counter = 0
'''
# print(self.board.phase,self.board.move_counter)
if self.board.phase == constant.PLACEMENT_PHASE:
self.update_available_nodes_placement(node)
# if the move is none then we need to initalise the available moves of the board
'''
if move is None and start_node is True:
# then this is the first node in the search -- initialise the placement actions
if self.board.move_counter == 0 or self.board.move_counter == 1:
self.start_available_actions_placement()
return
elif start_node is False:
# this is a start node but a move has been applied, therefore we just need to update the available
# moves list
#print(move)
self.update_available_placement(move)
#print(self.available_actions)
return
'''
elif self.board.phase == constant.MOVING_PHASE:
# generate the moves that you can apply to this node
node.available_moves = self.generate_moves(node.colour)
# this is the start to the search -- we don't want to update the available_moves list
'''
if start_node is True and move is None:
# if it is the start to the moving phase -- need to initialise
self.init_available_moving_actions()
return
elif start_node is False:
self.update_available_moves(move, node.colour)
return
'''
def generate_moves(self, colour):
available_moves = []
if self.board.phase == constant.MOVING_PHASE:
for move in self.board.piece_pos[colour]:
for move_type in range(constant.MAX_MOVETYPE):
if self.board.is_legal_move(move, move_type):
available_moves.append((move, move_type))
return available_moves
def cutoff_test(self, node, depth):
if depth == 0:
return True
if self.is_terminal(node):
return True
return False
def evaluate_node(self, node):
return Evaluation.basic_policy(self.board, node.colour)
# update the available moves of the search algorithm after it has been instantiated
#
# def update_available_moves(self, node, available_moves):
# node.available_moves = available_moves
def update_board(self, board):
self.board = deepcopy(board)
def is_terminal(self, node):
return node.is_leaf(self.board)
def update_available_nodes_placement(self, node):
MinimaxABUndo.init_placable_area(node)
for colour in (constant.BLACK_PIECE, constant.WHITE_PIECE):
for piece in self.board.piece_pos[colour]:
if piece in node.available_moves:
node.available_moves.remove(piece)
@staticmethod
def init_placable_area(node):
node.available_moves = []
for row in range(constant.BOARD_SIZE):
for col in range(constant.BOARD_SIZE):
if Board.within_starting_area((col, row), node.colour):
node.available_moves.append((col, row))
def check_symmetry(self, board_state):
transformation = MinimaxABUndo.apply_horizontal_reflection(board_state)
board = deepcopy(board_state)
if transformation.decode("utf-8") in self.visited:
return True
else:
self.visited.add(board.decode("utf-8"))
return False
@staticmethod
def apply_horizontal_reflection(board_state):
temp = ''
for index in range(constant.BOARD_SIZE ** 2):
temp += constant.FREE_SPACE
temp = bytearray(temp, 'utf-8')
for row in range(constant.BOARD_SIZE):
for col in range(constant.BOARD_SIZE):
Board.set_array_char(temp, 7 - row, 7 - col,
Board.get_array_element(board_state, row, col))
# print(temp)
# print(board_state)
return temp
def undo_move(self):
self.board.undo_move()
# then we need to recalculate the available moves based on the board representation
# self.generate_actions()
'''
#################################################################################
# METHODS FOR THE DICTIONARY REPRESENTATION OF THE AVAILABLE MOVES ON THE BOARD #
#
#
#
#
################################################################################
'''
# we update the available actions when we update the board representation
def generate_actions(self):
if self.board.phase == constant.PLACEMENT_PHASE:
self.init_available_placement_actions()
self.start_available_actions_placement()
elif self.board.phase == constant.MOVING_PHASE:
self.init_available_moving_actions()
def init_available_placement_actions(self):
# initialise the dictionary with the available placements on the board
for row in range(constant.BOARD_SIZE):
for col in range(constant.BOARD_SIZE):
piece = col, row
# print(col,row)
for colour in (constant.WHITE_PIECE, constant.BLACK_PIECE):
if Board.within_starting_area(piece, colour):
temp = {piece: constant.PLACEMENT_PHASE}
# print(temp)
self.available_actions[colour].update(temp)
def start_available_actions_placement(self):
# get rid of all pieces that exist on the board
for colour in (constant.BLACK_PIECE, constant.WHITE_PIECE):
for piece in self.board.piece_pos[colour]:
if piece in self.available_actions[colour]:
if Board.within_starting_area(piece, colour):
self.available_actions[colour].pop(piece)
def init_available_moving_actions(self):
for colour in (constant.WHITE_PIECE, constant.BLACK_PIECE):
for piece in self.available_actions[colour].keys():
self.update_actions_dict_entry(piece, colour)
# need to ensure that we call this after an update to the minimax board representation
def update_available_moves(self, action, colour):
# if there were any eliminated pieces last move retrieve them from the stack -- but make sure not to pop them
# off the stack completely
eliminated_pieces = self.board.eliminated_pieces_last_move(self.board.phase, self.board.move_counter, pop=False)
# action is in the form (position, movetype)
# -- i,e. we are moving the piece at position by the movetype
# -- when an action is called we have move that piece already and we need to change
# -- the entries in the dictionary according to that move
# colour is the colour of the piece we have moved
# read in the pieces on the board -- if they already exist in the dictionary
# then we dont need to do anything -- if they don't exist in the dictionary
# need to look at all the eliminated pieces on the board
# -- look for pieces in the vicinity of that space
# -- delete keys associated with those eliminated pieces as these are pieces on the board
# -- that do not exists anymore, therefore there are no associated moves with this piece
# -- update the available moves of the pieces that can move into that square
# need to update the available moves of the piece at its new location
# delete entry in the dictionary that corresponds to the old position
old_pos = action[0]
print(old_pos)
print(action)
new_pos = Board.convert_move_type_to_coord(old_pos, action[1])
# first we need to update the dictionary by removing the old piece from the
# dictionary -- as this is not an available move anymore
if old_pos in self.available_actions[colour]:
self.available_actions[colour].pop(old_pos)
else:
pass
# need to raise an error saying
# then add an entry into the dictionary corresponding to the new location of the piece
# after the move has been applied
if new_pos not in self.available_actions[colour]:
temp_list = self.get_piece_legal_moves(new_pos)
temp_dict = {new_pos: temp_list}
self.available_actions.update(temp_dict)
else:
pass
# need to raise an error
# remove all eliminated pieces from the dictionary
for piece_type in (constant.WHITE_PIECE, constant.BLACK_PIECE):
for piece in eliminated_pieces[piece_type]:
if piece in self.available_actions[piece_type]:
self.available_actions[piece_type].pop(piece)
else:
pass
# need to raise an error
# update any piece that is surrounding the old position but also any eliminated pieces and update
# their available moves by adding the corresponding move type to that list
# this old position is now a free space on the board and therefore pieces are able to now move into it
# need to test all positions surround this newly freed space and update their available actions
for move_type in range(constant.MAX_MOVETYPE):
# iterate through all the possible moves at the old location, checking
# whether or not there is a piece there
# if there is a piece at that location we can update that piece's available moves
piece = Board.convert_move_type_to_coord(old_pos, move_type)
for piece_colour in (constant.WHITE_PIECE, constant.BLACK_PIECE):
if piece in self.available_actions[piece_colour]:
if move_type < 4:
self.update_actions_dict_entry(piece, piece_colour)
else:
if self.board.can_jump_into_position(old_pos, move_type):
self.update_actions_dict_entry(piece, piece_colour)
# update the pieces around any eliminated pieces
for piece_colour in (constant.WHITE_PIECE, constant.BLACK_PIECE):
# iterate through all the eliminated pieces on the board
for elim_piece in eliminated_pieces[piece_colour]:
# for each eliminated piece we apply a move (move_type to it), checking if there is a piece
# at this position on the board, we do this by checking the available moves dictionary
# if there is a piece associated with that position on the board then if it is a one step move
# we just need to update that pieces available moves, if it is a jump, then we need to test if there
# is an adjacent piece between the jump and the free space -- do this by calling
# can_jump_into_position -- for a given space, if we apply a move_type corresponding to a
# two piece move, can we jump into this free spot
# if we can then we just need to update this pieces available actions
piece = Board.convert_move_type_to_coord(elim_piece, move_type)
# if this piece corresponds to an entry in the dictionary, then there is a piece at this location
if piece in self.available_actions[piece_colour]:
# one step moves
if move_type < 4:
self.update_actions_dict_entry(piece, piece_colour)
else:
# need to check if a jump is available into the free space
# if the piece at the jump location is in the available_action dict
if self.board.can_jump_into_position(elim_piece, move_type):
self.update_actions_dict_entry(piece, piece_colour)
# update the available moves of the pieces that surround where the
# new position of the piece is -- this is no longer an occupied space therefore pieces surrounding
# it cannot move into this space anymore
piece = Board.convert_move_type_to_coord(new_pos, move_type)
for piece_colour in (constant.WHITE_PIECE, constant.BLACK_PIECE):
if piece in self.available_actions[piece_colour]:
if move_type < 4:
self.update_actions_dict_entry(piece, piece_colour)
else:
# treat this old position as a free space -- if there are pieces
# that can jump into this piece we have to update these pieces available
# actions because this space is no longer free
if self.board.can_jump_into_position(new_pos, move_type):
self.update_actions_dict_entry(piece, piece_colour)
# HELPER METHOD THAT ALLOWS TO UPDATE A PARTICULAR PIECES AVAILABLE ACTIONS IN THE DICTIONARY
def update_actions_dict_entry(self, piece, colour):
temp_list = self.get_piece_legal_moves(piece)
update_entry = {piece: temp_list}
self.available_actions[colour].update(update_entry)
# get a list of the legal moves of a particular piece
def get_piece_legal_moves(self, piece):
available_moves = []
for move_type in range(constant.MAX_MOVETYPE):
if self.board.is_legal_move(piece, move_type):
available_moves.append(move_type)
return available_moves
def update_available_placement(self, action):
# to update the available actions in the placement phase we just need to read in the action made
# remove this entry from the dictionary
# add the entries of any eliminated positions in the dictionary
eliminated_pieces = self.board.eliminated_pieces_last_move(self.board.phase, self.board.move_counter, pop=False)
print("ELIMINATED: ", end='')
print(eliminated_pieces)
print("AVAILABLE: ", end='')
print(self.available_actions)
for colour in (constant.WHITE_PIECE, constant.BLACK_PIECE):
if Board.within_starting_area(action, colour):
# remove the action from the entry of the dictionary
if action in self.available_actions[colour]:
self.available_actions[colour].pop(action)
# add all the eliminated pieces to the available moves of the dictionary
for piece in eliminated_pieces[colour]:
if Board.within_starting_area(piece, colour):
if piece not in self.available_actions[colour]:
update_entry = {piece: constant.PLACEMENT_PHASE}
self.available_actions[colour].update(update_entry)
# return a list of actions corresponding to a particular board state
def get_actions(self, colour):
actions = []
if self.board.phase == constant.PLACEMENT_PHASE:
for key in self.available_actions[colour].keys():
# return a list containing the free spaces on the board that a player can place a piece into
actions.append(key)
return actions
elif self.board.phase == constant.MOVING_PHASE:
for key in self.available_actions[colour].keys():
for move_type in self.available_actions[colour][key]:
# return a list of the piece_position and the move it can make
actions.append((key, move_type))
return actions
| 41.32618 | 120 | 0.611659 | 7,219 | 57,774 | 4.745948 | 0.050977 | 0.03126 | 0.030355 | 0.022766 | 0.939727 | 0.927556 | 0.915064 | 0.901521 | 0.889729 | 0.880914 | 0 | 0.003014 | 0.316578 | 57,774 | 1,397 | 121 | 41.355762 | 0.864705 | 0.288071 | 0 | 0.882083 | 0 | 0 | 0.002926 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.11026 | false | 0.01072 | 0.01072 | 0.013783 | 0.225115 | 0.026034 | 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 |
61b3e677d7cdeffac08c7a90f1585c65316d9607 | 15,076 | py | Python | src/intercurator_metrics.py | dpavot/PGR-crowd | 70767e25c31601c1e1f177105b77a8acb0153059 | [
"Apache-2.0"
] | null | null | null | src/intercurator_metrics.py | dpavot/PGR-crowd | 70767e25c31601c1e1f177105b77a8acb0153059 | [
"Apache-2.0"
] | null | null | null | src/intercurator_metrics.py | dpavot/PGR-crowd | 70767e25c31601c1e1f177105b77a8acb0153059 | [
"Apache-2.0"
] | null | null | null | import csv
import krippendorff
import numpy
### EXTERNAL VARIABLES
n = 2 # curators
N = 2389 # subjects
k = 3 # categories
def fleiss_kappa(dataset_file, curators, subjects):
"""
:param dataset_file:
:param curators:
:param subjects:
:return:
"""
dataset = open(dataset_file, encoding = 'utf-8')
dataset_reader = csv.reader(dataset, delimiter = ',')
line_count = 0
dict_counts = {}
sentence_number = 1
t_count = 0
f_count = 0
u_count = 0
for row in dataset_reader:
if line_count == 0:
pass
elif row and row[0] != '367O8HRHKG9KGF382XKL72J6UFOS44':
if row[21] == '' and t_count + f_count + u_count < curators: # not rejected and divisible by the number of curators:
if row[28].startswith('Yes'):
t_count += 1
elif row[28].startswith('No'):
f_count += 1
elif row[28].startswith('The'):
u_count += 1
elif row[21] == '' and t_count + f_count + u_count >= curators:
dict_counts[sentence_number] = [t_count, f_count, u_count]
sentence_number += 1
t_count = 0
f_count = 0
u_count = 0
if row[28].startswith('Yes'):
t_count += 1
elif row[28].startswith('No'):
f_count += 1
elif row[28].startswith('The'):
u_count += 1
elif row and row[0] == '367O8HRHKG9KGF382XKL72J6UFOS44':
if sentence_number not in dict_counts:
dict_counts[sentence_number] = [7, 0, 0]
sentence_number += 1
line_count += 1
sum_pi = 0
t_sum = 0
f_sum = 0
u_sum = 0
for item in dict_counts.items():
pi = (1 / (curators * (curators - 1))) * (item[1][0]**2 + item[1][1]**2 + item[1][2]**2 - curators)
sum_pi += pi
t_sum += item[1][0]
f_sum += item[1][1]
u_sum += item[1][2]
t = t_sum / (subjects * curators)
f = f_sum / (subjects * curators)
u = u_sum / (subjects * curators)
p = (1 / subjects) * sum_pi
pe = t**2 + f**2 + u**2
kappa = (p - pe) / (1 - pe)
return kappa
#print(fleiss_kappa('data/batch_results_30.csv', n, N))
def krippendorff_alpha(dataset_file, curators):
"""
:param dataset_file:
:param curators:
:return:
"""
dataset = open(dataset_file, encoding = 'utf-8')
dataset_reader = csv.reader(dataset, delimiter = ',')
line_count = 0
reliability_data = []
t_count = 0
f_count = 0
u_count = 0
t = 1
f = 2
u = 3
subset = []
entered = False
for row in dataset_reader:
if line_count == 0:
pass
elif row and row[0] != '367O8HRHKG9KGF382XKL72J6UFOS44':
if row[21] == '' and t_count + f_count + u_count < curators: # not rejected and divisible by the number of curators:
if row[28].startswith('Yes'):
subset.append(t)
t_count += 1
elif row[28].startswith('No'):
subset.append(f)
f_count += 1
elif row[28].startswith('The'):
subset.append(u)
u_count += 1
elif row[21] == '' and t_count + f_count + u_count >= curators:
reliability_data.append(subset)
subset = []
t_count = 0
f_count = 0
u_count = 0
if row[28].startswith('Yes'):
subset.append(t)
t_count += 1
elif row[28].startswith('No'):
subset.append(f)
f_count += 1
elif row[28].startswith('The'):
subset.append(u)
u_count += 1
elif row and row[0] == '367O8HRHKG9KGF382XKL72J6UFOS44' and entered == False:
reliability_data.append([1, 1, 1, 1, 1, 1, 1])
entered = True
line_count += 1
reliability_data = numpy.transpose(reliability_data)
return krippendorff.alpha(reliability_data, level_of_measurement = 'nominal')
#print(krippendorff_alpha('data/batch_results_30.csv', n))
def expert_extra_kappa(external_rater_file, expert_rater_file, curators, subjects):
dict_counts = {}
t_count = 0
f_count = 0
u_count = 0
external_rater = open(external_rater_file, encoding='utf-8')
external_rater_reader = csv.reader(external_rater, delimiter='\t')
line_count = 0
for external_row in external_rater_reader:
t_count = 0
f_count = 0
u_count = 0
if line_count == 0:
pass
else:
grading = external_row[11]
gene_first = external_row[6]
gene_last = external_row[7]
phenotype_first = external_row[8]
phenotype_last = external_row[9]
if int(gene_first) < int(phenotype_first):
new_sentence = external_row[1][:int(gene_first)] + '<b>' + external_row[1][
int(gene_first):int(gene_last)] + '</b>' + \
external_row[1][int(gene_last):int(phenotype_first)] + '<b>' + external_row[1][
int(phenotype_first):int(
phenotype_last)] + \
'</b>' + external_row[1][int(phenotype_last):]
else:
new_sentence = external_row[1][:int(phenotype_first)] + '<b>' + external_row[1][
int(phenotype_first):int(
phenotype_last)] + '</b>' + \
external_row[1][int(phenotype_last):int(gene_first)] + '<b>' + external_row[1][
int(gene_first):int(
gene_last)] + \
'</b>' + external_row[1][int(gene_last):]
sentence = new_sentence.replace(',', '<span>,</span>')
if grading == 'C':
t_count = 1
elif grading == 'I':
f_count = 1
elif grading == 'U':
u_count = 1
dict_counts[sentence] = [t_count, f_count, u_count]
line_count += 1
expert_rater = open(expert_rater_file, encoding='utf-8')
expert_rater_reader = csv.reader(expert_rater, delimiter='\t')
line_count = 0
for external_row in expert_rater_reader:
if line_count == 0:
pass
else:
grading = external_row[11].capitalize()
gene_first = external_row[6]
gene_last = external_row[7]
phenotype_first = external_row[8]
phenotype_last = external_row[9]
if int(gene_first) < int(phenotype_first):
new_sentence = external_row[1][:int(gene_first)] + '<b>' + external_row[1][
int(gene_first):int(gene_last)] + '</b>' + \
external_row[1][int(gene_last):int(phenotype_first)] + '<b>' + external_row[1][
int(phenotype_first):int(
phenotype_last)] + \
'</b>' + external_row[1][int(phenotype_last):]
else:
new_sentence = external_row[1][:int(phenotype_first)] + '<b>' + external_row[1][
int(phenotype_first):int(
phenotype_last)] + '</b>' + \
external_row[1][int(phenotype_last):int(gene_first)] + '<b>' + external_row[1][
int(gene_first):int(
gene_last)] + \
'</b>' + external_row[1][int(gene_last):]
sentence = new_sentence.replace(',', '<span>,</span>')
if grading == 'C':
dict_counts[sentence] = [dict_counts[sentence][0] + 1, dict_counts[sentence][1], dict_counts[sentence][2]]
elif grading == 'I':
dict_counts[sentence] = [dict_counts[sentence][0], dict_counts[sentence][1] + 1, dict_counts[sentence][2]]
elif grading.startswith('U'):
dict_counts[sentence] = [dict_counts[sentence][0], dict_counts[sentence][1], dict_counts[sentence][2] + 1]
line_count += 1
sum_pi = 0
t_sum = 0
f_sum = 0
u_sum = 0
for item in dict_counts.items():
# if item[1][0] + item[1][1] + item[1][2] != 2:
# print(item)
# elif item[1][1] == 1 and item[1][2] == 1:
# print(item)
pi = (1 / (curators * (curators - 1))) * (item[1][0] ** 2 + item[1][1] ** 2 + item[1][2] ** 2 - curators)
sum_pi += pi
t_sum += item[1][0]
f_sum += item[1][1]
u_sum += item[1][2]
t = t_sum / (subjects * curators)
f = f_sum / (subjects * curators)
u = u_sum / (subjects * curators)
p = (1 / subjects) * sum_pi
pe = t ** 2 + f ** 2 + u ** 2
kappa = (p - pe) / (1 - pe)
return kappa
print(expert_extra_kappa('data/external_rater_results.tsv', 'data/expert.tsv', n, N))
def expert_extra_krip(external_rater_file, expert_rater_file):
data = {}
t = 1
f = 2
u = 3
expert_rater = open(expert_rater_file, encoding='utf-8')
expert_rater_reader = csv.reader(expert_rater, delimiter='\t')
line_count = 0
for external_row in expert_rater_reader:
if line_count == 0:
pass
else:
grading = external_row[11].capitalize()
gene_first = external_row[6]
gene_last = external_row[7]
phenotype_first = external_row[8]
phenotype_last = external_row[9]
if int(gene_first) < int(phenotype_first):
new_sentence = external_row[1][:int(gene_first)] + '<b>' + external_row[1][
int(gene_first):int(gene_last)] + '</b>' + \
external_row[1][int(gene_last):int(phenotype_first)] + '<b>' + external_row[1][
int(phenotype_first):int(
phenotype_last)] + \
'</b>' + external_row[1][int(phenotype_last):]
else:
new_sentence = external_row[1][:int(phenotype_first)] + '<b>' + external_row[1][
int(phenotype_first):int(
phenotype_last)] + '</b>' + \
external_row[1][int(phenotype_last):int(gene_first)] + '<b>' + external_row[1][
int(gene_first):int(
gene_last)] + \
'</b>' + external_row[1][int(gene_last):]
sentence = new_sentence.replace(',', '<span>,</span>')
if grading == 'C':
data[sentence] = [t]
elif grading == 'I':
data[sentence] = [f]
elif grading.startswith('U'):
data[sentence] = [u]
line_count += 1
external_rater = open(external_rater_file, encoding='utf-8')
external_rater_reader = csv.reader(external_rater, delimiter='\t')
line_count = 0
for external_row in external_rater_reader:
if line_count == 0:
pass
else:
grading = external_row[11]
gene_first = external_row[6]
gene_last = external_row[7]
phenotype_first = external_row[8]
phenotype_last = external_row[9]
if int(gene_first) < int(phenotype_first):
new_sentence = external_row[1][:int(gene_first)] + '<b>' + external_row[1][
int(gene_first):int(gene_last)] + '</b>' + \
external_row[1][int(gene_last):int(phenotype_first)] + '<b>' + external_row[1][
int(phenotype_first):int(
phenotype_last)] + \
'</b>' + external_row[1][int(phenotype_last):]
else:
new_sentence = external_row[1][:int(phenotype_first)] + '<b>' + external_row[1][
int(phenotype_first):int(
phenotype_last)] + '</b>' + \
external_row[1][int(phenotype_last):int(gene_first)] + '<b>' + external_row[1][
int(gene_first):int(
gene_last)] + \
'</b>' + external_row[1][int(gene_last):]
sentence = new_sentence.replace(',', '<span>,</span>')
if grading == 'C':
data[sentence].append(t)
elif grading == 'I':
data[sentence].append(f)
elif grading == 'U':
data[sentence].append(u)
line_count += 1
reliability_data = []
for item in data.items():
reliability_data.append(item[1])
reliability_data = numpy.transpose(reliability_data)
external_rater.close()
return krippendorff.alpha(reliability_data, level_of_measurement='nominal')
print(expert_extra_krip('data/external_rater_results.tsv', 'data/expert.tsv')) | 38.167089 | 129 | 0.446936 | 1,535 | 15,076 | 4.149186 | 0.067752 | 0.110535 | 0.075365 | 0.094206 | 0.870309 | 0.855864 | 0.822421 | 0.795572 | 0.774062 | 0.755849 | 0 | 0.03838 | 0.440037 | 15,076 | 395 | 130 | 38.167089 | 0.716063 | 0.033033 | 0 | 0.864112 | 0 | 0 | 0.034314 | 0.01254 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013937 | false | 0.020906 | 0.010453 | 0 | 0.038328 | 0.006969 | 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 |
9c96c8704cb8c2ac9d48edd9866c16421d7daf95 | 4,985 | py | Python | cuchem/tests/test_cluster_wf.py | dorukozturk/cheminformatics | c0fa66dd4f4e6650d7286ae2be533c66b7a2b270 | [
"Apache-2.0"
] | null | null | null | cuchem/tests/test_cluster_wf.py | dorukozturk/cheminformatics | c0fa66dd4f4e6650d7286ae2be533c66b7a2b270 | [
"Apache-2.0"
] | null | null | null | cuchem/tests/test_cluster_wf.py | dorukozturk/cheminformatics | c0fa66dd4f4e6650d7286ae2be533c66b7a2b270 | [
"Apache-2.0"
] | null | null | null | import cudf
import logging
from tests.utils import _fetch_chembl_test_dataset, _create_context
# from cuchem.wf.cluster.cpukmeansumap import CpuKmeansUmap
from cuchem.wf.cluster.gpukmeansumap import GpuKmeansUmap, GpuKmeansUmapHybrid
from cuchem.wf.cluster.gpurandomprojection import GpuWorkflowRandomProjection
from cuchemcommon.data.helper.chembldata import ChEmblData
logger = logging.getLogger(__name__)
# def test_cpukmeansumap():
# """
# Verify fetching data from chemblDB when the input is a pandas df.
# """
# context = _create_context()
# n_molecules, dao, mol_df = _fetch_chembl_test_dataset(n_molecules=10000)
# logger.info(context.batch_size)
# wf = CpuKmeansUmap(n_molecules=n_molecules,
# dao=dao, n_pca=64)
# embedding = wf.cluster(df_molecular_embedding=mol_df)
# logger.info(embedding.head())
def test_random_proj():
"""
Verify fetching data from chemblDB when the input is a pandas df.
"""
_create_context()
n_molecules, dao, mol_df = _fetch_chembl_test_dataset()
wf = GpuWorkflowRandomProjection(n_molecules=n_molecules,
dao=dao)
wf.cluster(df_mol_embedding=mol_df)
def test_gpukmeansumap_dask():
"""
Verify fetching data from chemblDB when the input is a pandas df.
"""
_create_context()
n_molecules, dao, mol_df = _fetch_chembl_test_dataset()
wf = GpuKmeansUmap(n_molecules=n_molecules,
dao=dao, pca_comps=64)
wf.cluster(df_mol_embedding=mol_df)
def test_gpukmeansumap_cudf():
"""
Verify fetching data from chemblDB when the input is a cudf df.
"""
_create_context()
n_molecules, dao, mol_df = _fetch_chembl_test_dataset()
wf = GpuKmeansUmap(n_molecules=n_molecules,
dao=dao, pca_comps=64)
mol_df = mol_df.compute()
wf.cluster(df_mol_embedding=mol_df)
def test_add_molecule_GpuKmeansUmap():
"""
Verify fetching data from chemblDB when the input is a cudf df.
"""
_create_context()
n_molecules, dao, mol_df = _fetch_chembl_test_dataset()
if hasattr(mol_df, 'compute'):
mol_df = mol_df.compute()
mol_df = cudf.from_pandas(mol_df)
n_molecules = mol_df.shape[0]
# test mol should container aviable and new molecules
test_mol = mol_df[n_molecules - 20:]
mols_tobe_added = test_mol['id'].to_array().tolist()
chData = ChEmblData()
logger.info('Fetching ChEMBLLE id for %s', mols_tobe_added)
mols_tobe_added = [str(row[0]) for row in chData.fetch_chemblId_by_molregno(mols_tobe_added)]
logger.info('ChEMBL ids to be added %s', mols_tobe_added)
# Molecules to be used for clustering
mol_df = mol_df[:n_molecules - 10]
wf = GpuKmeansUmap(n_molecules=n_molecules, dao=dao, pca_comps=64)
wf.cluster(df_mol_embedding=mol_df)
missing_mols, molregnos, df_embedding = wf.add_molecules(mols_tobe_added)
assert len(missing_mols) == 10, 'Expected 10 missing molecules found %d' % len(missing_mols)
# TODO: Once the issue with add_molecule in multi-gpu env. is fixed, the
# number of missing_molregno found should be 0
missing_mols, molregnos, df_embedding = wf.add_molecules(mols_tobe_added)
assert len(missing_mols) == 0, 'Expected no missing molecules found %d' % len(missing_mols)
# assert len(missing_mols) == 10, 'Expected 10 missing molecules found %d' % len(missing_mols)
def test_add_molecule_hybrid_wf():
"""
Verify fetching data from chemblDB when the input is a cudf df.
"""
_create_context()
n_molecules, dao, mol_df = _fetch_chembl_test_dataset()
if hasattr(mol_df, 'compute'):
mol_df = mol_df.compute()
mol_df = cudf.from_pandas(mol_df)
n_molecules = mol_df.shape[0]
# test mol should container aviable and new molecules
test_mol = mol_df[n_molecules - 20:]
mols_tobe_added = test_mol['id'].to_array().tolist()
chData = ChEmblData()
logger.info('Fetching ChEMBLLE id for %s', mols_tobe_added)
mols_tobe_added = [str(row[0]) for row in chData.fetch_chemblId_by_molregno(mols_tobe_added)]
logger.info('ChEMBL ids to be added %s', mols_tobe_added)
# Molecules to be used for clustering
mol_df = mol_df[:n_molecules - 10]
wf = GpuKmeansUmapHybrid(n_molecules=n_molecules, dao=dao, pca_comps=64)
wf.cluster(df_mol_embedding=mol_df)
missing_mols, molregnos, df_embedding = wf.add_molecules(mols_tobe_added)
assert len(missing_mols) == 10, 'Expected 10 missing molecules found %d' % len(missing_mols)
# TODO: Once the issue with add_molecule in multi-gpu env. is fixed, the
# number of missing_molregno found should be 0
missing_mols, molregnos, df_embedding = wf.add_molecules(mols_tobe_added)
assert len(missing_mols) == 0, 'Expected no missing molecules found %d' % len(missing_mols)
# assert len(missing_mols) == 10, 'Expected 10 missing molecules found %d' % len(missing_mols)
| 34.618056 | 98 | 0.712136 | 707 | 4,985 | 4.731259 | 0.154173 | 0.047833 | 0.05441 | 0.046039 | 0.813453 | 0.808371 | 0.792825 | 0.792825 | 0.792825 | 0.782362 | 0 | 0.011721 | 0.195587 | 4,985 | 143 | 99 | 34.86014 | 0.822444 | 0.283852 | 0 | 0.757576 | 0 | 0 | 0.078894 | 0 | 0 | 0 | 0 | 0.013986 | 0.060606 | 1 | 0.075758 | false | 0 | 0.090909 | 0 | 0.166667 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.