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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5cf0d65b2763182550e0e8907e7f128d6ee38670
| 29
|
py
|
Python
|
student_id.py
|
JooYoung97/sample_60162177
|
9fbff134e65ff340d087fa8768f6167f5e0ebc08
|
[
"MIT"
] | null | null | null |
student_id.py
|
JooYoung97/sample_60162177
|
9fbff134e65ff340d087fa8768f6167f5e0ebc08
|
[
"MIT"
] | null | null | null |
student_id.py
|
JooYoung97/sample_60162177
|
9fbff134e65ff340d087fa8768f6167f5e0ebc08
|
[
"MIT"
] | null | null | null |
print("제 학번은 60162177 입니다.")
| 14.5
| 28
| 0.689655
| 5
| 29
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.32
| 0.137931
| 29
| 1
| 29
| 29
| 0.48
| 0
| 0
| 0
| 0
| 0
| 0.655172
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 8
|
5cf1fc0589318db1e16b1e5a1a12d543e9ca2da3
| 266
|
py
|
Python
|
src/block_kit/__init__.py
|
dtact/block_kit
|
66b9447755edaa9fe6fe27c44b36ed27849d9f9f
|
[
"Apache-1.1"
] | null | null | null |
src/block_kit/__init__.py
|
dtact/block_kit
|
66b9447755edaa9fe6fe27c44b36ed27849d9f9f
|
[
"Apache-1.1"
] | null | null | null |
src/block_kit/__init__.py
|
dtact/block_kit
|
66b9447755edaa9fe6fe27c44b36ed27849d9f9f
|
[
"Apache-1.1"
] | null | null | null |
from .block_kit import BlockKitEncoder, image, markdown, plain_text, fields, blocks, section, message, actions, header, button
__all__ = ["BlockKitEncoder", "image", "markdown", "plain_text", "fields", "blocks", "section", "message", "actions", "header", "button"]
| 66.5
| 137
| 0.721805
| 29
| 266
| 6.37931
| 0.586207
| 0.216216
| 0.302703
| 0.356757
| 0.886486
| 0.886486
| 0.886486
| 0.886486
| 0.886486
| 0.886486
| 0
| 0
| 0.105263
| 266
| 3
| 138
| 88.666667
| 0.777311
| 0
| 0
| 0
| 0
| 0
| 0.31203
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 12
|
5cfaa6eeb7766d464e8223b9f0db94dada4f8201
| 17,511
|
py
|
Python
|
foodanddrink.py
|
dantefurrybot/dantev4
|
7282e9466209e794b1e91234a0eb7aa83fd6e413
|
[
"CC-BY-4.0"
] | 1
|
2020-08-17T15:59:40.000Z
|
2020-08-17T15:59:40.000Z
|
foodanddrink.py
|
dantefurrybot/dantev4
|
7282e9466209e794b1e91234a0eb7aa83fd6e413
|
[
"CC-BY-4.0"
] | null | null | null |
foodanddrink.py
|
dantefurrybot/dantev4
|
7282e9466209e794b1e91234a0eb7aa83fd6e413
|
[
"CC-BY-4.0"
] | 2
|
2020-08-08T19:02:27.000Z
|
2020-08-11T00:40:35.000Z
|
import discord
async def msg(message, x, p, self):
msg = x
#Check if the message was sent by ourselves:
if msg.author == self.user:
print('Not a user message.')
return
cmd = message.split()
validcommands = ["!menu", "!cookie", "!pineapple", "!sandwich", "!steak", "!pizza", "!muffin", "!whiskey", "!vodka", "!martini", "!beer", "!rum", "!pinacolada", "!coke", "!tea", "!coffee"]
if not cmd[0].lower() in validcommands:
return
#If not, we can execute commands, such as this simple ping!
if message.startswith(p + "menu"):
embed = discord.Embed(title = "Menu!", description = "**__Food__** \nCookie, Pineapple, Sandwich, Steak, Pizza, Muffin \n\n**__Alcohol__** \nWhiskey, Vodka, Martini, Beer, Rum, Pina Colada \n\n**__Non-alcoholic drinks__** \nCoke, Tea, Coffee" , color=0x00ff00)
await msg.channel.send(embed = embed)
if message.startswith(p + "cookie"):
if not x.mentions:
embed = discord.Embed(title = "Coooookiesssss!",color=0x00ff00)
embed.description = "<@" + str(msg.author.id) + "> here's your cookie! \n\nJust like the ones mama used to make"
embed.set_thumbnail(url = "https://images-gmi-pmc.edge-generalmills.com/087d17eb-500e-4b26-abd1-4f9ffa96a2c6.jpg")
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "Coooookiesssss!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a cookie!" , color=0x00ff00)
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> here's your cookie! \n\nJust like the ones mama used to make"
embed.set_thumbnail(url = "https://images-gmi-pmc.edge-generalmills.com/087d17eb-500e-4b26-abd1-4f9ffa96a2c6.jpg")
await msg.channel.send(embed = embed)
if message.startswith(p + "pineapple"):
if not x.mentions:
embed = discord.Embed(title = "Pineapple!", color=0x00ff00)
embed.description = "<@" + str(msg.author.id) + "> here's your pineapple slices!"
embed.set_thumbnail(url = "https://www.organicfacts.net/wp-content/uploads/pineapplecalories.jpg")
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "Pineapple!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> some pineapple slices!" , color=0x00ff00)
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> here's your pineapple slices!"
embed.set_thumbnail(url = "https://www.organicfacts.net/wp-content/uploads/pineapplecalories.jpg")
await msg.channel.send(embed = embed)
if message.startswith(p + "sandwich"):
if not x.mentions:
embed = discord.Embed(title = "Sandwich!", color=0x00ff00)
embed.description = "<@" + str(msg.author.id) + "> here's your Sandwich!"
embed.set_thumbnail(url = "https://www.bbcgoodfood.com/sites/default/files/recipe-collections/collection-image/2013/05/egg-cress-club-sandwich_0.jpg")
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "Sandwich!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a sandwich!" , color=0x00ff00)
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> here's your Sandwich!"
embed.set_thumbnail(url = "https://www.bbcgoodfood.com/sites/default/files/recipe-collections/collection-image/2013/05/egg-cress-club-sandwich_0.jpg")
await msg.channel.send(embed = embed)
if message.startswith(p + "steak"):
if not x.mentions:
embed = discord.Embed(title = "Steak!", color=0x00ff00)
embed.description = "<@" + str(msg.author.id) + "> here's your steak!"
embed.set_thumbnail(url = "https://foremangrillrecipes.com/wp-content/uploads/2013/06/featured-ribeye-steak-foreman-grill.jpg")
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "Steak!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> some steak!" , color=0x00ff00)
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> here's your steak!"
embed.set_thumbnail(url = "https://foremangrillrecipes.com/wp-content/uploads/2013/06/featured-ribeye-steak-foreman-grill.jpg")
await msg.channel.send(embed = embed)
if message.startswith(p + "pizza"):
if not x.mentions:
embed = discord.Embed(title = "Pizzzzzaaaaaa!", color=0x00ff00)
embed.description = "<@" + str(msg.author.id) + "> has fed themselves pizza!"
embed.set_thumbnail(url = "https://static.independent.co.uk/s3fs-public/thumbnails/image/2019/08/02/16/istock-938742222.jpg")
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "Pizzzzzaaaaaa!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a box of pizza!" , color=0x00ff00)
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> has fed themselves pizza!"
embed.set_thumbnail(url = "https://static.independent.co.uk/s3fs-public/thumbnails/image/2019/08/02/16/istock-938742222.jpg")
await msg.channel.send(embed = embed)
if message.startswith(p + "muffin"):
if not x.mentions:
embed = discord.Embed(title = "I wanna die!", color=0x00ff00)
embed.description = "<@" + str(msg.author.id) + "> It's muffin time! \n\n*gives you a muffin*"
embed.set_thumbnail(url = "https://modworkshop.net/mydownloads/previews/preview_3168_1542481291_794f87346e5f426c4c45c7ab3a0711ec.png")
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "I wanna die!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a muffin!" , color=0x00ff00)
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> It's muffin time! \n\n*gives you a muffin*"
embed.set_thumbnail(url = "https://modworkshop.net/mydownloads/previews/preview_3168_1542481291_794f87346e5f426c4c45c7ab3a0711ec.png")
await msg.channel.send(embed = embed)
#Drinks:
if message.startswith(p + "whiskey"):
if not x.mentions:
embed = discord.Embed(title = "It's time to get drunk!", color=0x00ff00)
embed.set_thumbnail(url = "https://cdn.britannica.com/71/192771-050-CEF9CEC3/Glass-scotch-whiskey-ice.jpg")
embed.description = "<@" + str(msg.author.id) + "> here's your whiskey! \n\nDon't get too drunk"
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "It's time to get drunk!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a bottle of whiskey!" , color=0x00ff00)
embed.set_thumbnail(url = "https://cdn.britannica.com/71/192771-050-CEF9CEC3/Glass-scotch-whiskey-ice.jpg")
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> here's your whiskey! \n\nDon't get too drunk"
await msg.channel.send(embed = embed)
if message.startswith(p + "beer"):
if not x.mentions:
embed = discord.Embed(title = "It's time to get drunk!", color=0x00ff00)
embed.set_thumbnail(url = "https://static.turbosquid.com/Preview/001184/092/MC/chinese-beer-barrel-3D_600.jpg")
embed.description = "<@" + str(msg.author.id) + "> here's your beer! \n\nDon't get too drunk"
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "It's time to get drunk!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a beer" , color=0x00ff00)
embed.set_thumbnail(url = "https://static.turbosquid.com/Preview/001184/092/MC/chinese-beer-barrel-3D_600.jpg")
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> here's your beer! \n\nDon't get too drunk"
await msg.channel.send(embed = embed)
if message.startswith(p + "vodka"):
if not x.mentions:
embed = discord.Embed(title = "It's time to get drunk!", color=0x00ff00)
embed.set_thumbnail(url = "https://www.solavia.co.uk/ekmps/shops/solavia2012/images/shot-vodka-glass-pack-of-6-35ml-163-1-p.jpg")
embed.description = "<@" + str(msg.author.id) + "> has ordered some vodka to drown their sorrows."
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "It's time to get drunk!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a vodka" , color=0x00ff00)
embed.set_thumbnail(url = "https://www.solavia.co.uk/ekmps/shops/solavia2012/images/shot-vodka-glass-pack-of-6-35ml-163-1-p.jpg")
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> has ordered some vodka to drown their sorrows."
await msg.channel.send(embed = embed)
if message.startswith(p + "martini"):
if not x.mentions:
embed = discord.Embed(title = "It's time to get drunk!", color=0x00ff00)
embed.set_thumbnail(url = "https://www.liquor.com/thmb/SXyXRSEiNlSIWioGE8GOMb7arPM=/735x0/__opt__aboutcom__coeus__resources__content_migration__liquor__2018__09__05093330__dry-martini-720x720-recipe-8a80821c4ca944849690af8cda90cc03.jpg")
embed.description = "<@" + str(msg.author.id) + "> here's your martini! \n\nDon't get too drunk"
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "It's time to get drunk!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a martini" , color=0x00ff00)
embed.set_thumbnail(url = "https://www.liquor.com/thmb/SXyXRSEiNlSIWioGE8GOMb7arPM=/735x0/__opt__aboutcom__coeus__resources__content_migration__liquor__2018__09__05093330__dry-martini-720x720-recipe-8a80821c4ca944849690af8cda90cc03.jpg")
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> here's your martini! \n\nDon't get too drunk"
await msg.channel.send(embed = embed)
if message.startswith(p + "rum"):
if not x.mentions:
embed = discord.Embed(title = "It's time to get drunk!", color=0x00ff00)
embed.set_thumbnail(url = "https://shop.rammstein.de/img/original/katalog/1617/396/flasche-rum-null-2.jpg")
embed.description = "<@" + str(msg.author.id) + "> here's your rum! \n\nDon't get too drunk"
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "It's time to get drunk!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a bottle of rum" , color=0x00ff00)
embed.set_thumbnail(url = "https://shop.rammstein.de/img/original/katalog/1617/396/flasche-rum-null-2.jpg")
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> here's your rum! \n\nDon't get too drunk"
await msg.channel.send(embed = embed)
if message.startswith(p + "cola"):
if not x.mentions:
embed = discord.Embed(title = "Soft drink", color=0x00ff00)
embed.set_thumbnail(url = "https://i.pinimg.com/originals/33/4d/a7/334da791a8e7df928905484fdab19262.jpg")
embed.description = "<@" + str(msg.author.id) + "> chugs some coke!"
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "Soft drink", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a bottle of coke" , color=0x00ff00)
embed.set_thumbnail(url = "https://i.pinimg.com/originals/33/4d/a7/334da791a8e7df928905484fdab19262.jpg")
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> chugs some coke!"
await msg.channel.send(embed = embed)
if message.startswith(p + "coke"):
if not x.mentions:
embed = discord.Embed(title = "Soft drink", color=0x00ff00)
embed.set_thumbnail(url = "https://i.pinimg.com/originals/33/4d/a7/334da791a8e7df928905484fdab19262.jpg")
embed.description = "<@" + str(msg.author.id) + "> chugs some coke!"
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "Soft drink", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a bottle of coke" , color=0x00ff00)
embed.set_thumbnail(url = "https://i.pinimg.com/originals/33/4d/a7/334da791a8e7df928905484fdab19262.jpg")
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> chugs some coke!"
await msg.channel.send(embed = embed)
if message.startswith(p + "tea"):
if not x.mentions:
embed = discord.Embed(title = "Hot drink", color=0x00ff00)
embed.set_thumbnail(url = "https://www.telegraph.co.uk/content/dam/health-fitness/2020/01/09/TELEMMGLPICT000169578515_trans%2B%2BbTl4D02iCM3NuMfK2RT0HTjsyN2j3JnAYXPi059mk8g.jpeg")
embed.description = "<@" + str(msg.author.id) + "> here's your tea!"
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "Hot drink", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a cup of tea" , color=0x00ff00)
embed.set_thumbnail(url = "https://www.telegraph.co.uk/content/dam/health-fitness/2020/01/09/TELEMMGLPICT000169578515_trans%2B%2BbTl4D02iCM3NuMfK2RT0HTjsyN2j3JnAYXPi059mk8g.jpeg")
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> here's your tea!"
await msg.channel.send(embed = embed)
if message.startswith(p + "coffee"):
if not x.mentions:
embed = discord.Embed(title = "Hot drink", color=0x00ff00)
embed.set_thumbnail(url = "https://www.gannett-cdn.com/-mm-/b2b05a4ab25f4fca0316459e1c7404c537a89702/c=0-0-1365-768/local/-/media/2019/01/18/USATODAY/usatsports/gettyimages-500740897.jpg?width=660&height=372&fit=crop&format=pjpg&auto=webp")
embed.description = "<@" + str(msg.author.id) + "> here's your coffee!"
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "Hot drink", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a cup of of coffee" , color=0x00ff00)
embed.set_thumbnail(url = "https://www.gannett-cdn.com/-mm-/b2b05a4ab25f4fca0316459e1c7404c537a89702/c=0-0-1365-768/local/-/media/2019/01/18/USATODAY/usatsports/gettyimages-500740897.jpg?width=660&height=372&fit=crop&format=pjpg&auto=webp")
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> here's your coffee!"
await msg.channel.send(embed = embed)
if message.startswith(p + "pinacolada"):
if not x.mentions:
embed = discord.Embed(title = "It's time to get drunk!", color=0x00ff00)
embed.set_thumbnail(url = "https://www.liquor.com/thmb/zPl7fCzXHeHD8uBo4z194OFRabA=/735x0/__opt__aboutcom__coeus__resources__content_migration__liquor__2019__02__13090826__pina-colada-720x720-recipe-253f1752769447f6998afd2b9469c24e.jpg")
embed.description = "<@" + str(msg.author.id) + "> here's your pina colada, don't get too drunk!"
await msg.channel.send(embed = embed)
for member in x.mentions:
print(member)
embed = discord.Embed(title = "It's time to get drunk!", description = "<@" + str(msg.author.id) + "> has given <@" + str(member.id) + "> a pina colada!" , color=0x00ff00)
embed.set_thumbnail(url = "https://www.liquor.com/thmb/zPl7fCzXHeHD8uBo4z194OFRabA=/735x0/__opt__aboutcom__coeus__resources__content_migration__liquor__2019__02__13090826__pina-colada-720x720-recipe-253f1752769447f6998afd2b9469c24e.jpg")
if member.id == msg.author.id:
embed.description = "<@" + str(msg.author.id) + "> here's your pina colada, don't get too drunk!"
await msg.channel.send(embed = embed)
| 70.608871
| 268
| 0.625607
| 2,221
| 17,511
| 4.869428
| 0.12652
| 0.054092
| 0.065095
| 0.10208
| 0.938234
| 0.92307
| 0.92307
| 0.921405
| 0.899029
| 0.899029
| 0
| 0.067727
| 0.224259
| 17,511
| 247
| 269
| 70.894737
| 0.728431
| 0.006168
| 0
| 0.791855
| 0
| 0.113122
| 0.359253
| 0.001207
| 0
| 0
| 0.015172
| 0
| 0
| 1
| 0
| false
| 0
| 0.004525
| 0
| 0.013575
| 0.076923
| 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
|
cf0d810073457e85f1a86742948387bece4d0eb3
| 100
|
py
|
Python
|
csankey/__init__.py
|
kirin123kirin/csankey
|
64ed153391a1122a3194e4febcb2947c2b847deb
|
[
"MIT"
] | null | null | null |
csankey/__init__.py
|
kirin123kirin/csankey
|
64ed153391a1122a3194e4febcb2947c2b847deb
|
[
"MIT"
] | null | null | null |
csankey/__init__.py
|
kirin123kirin/csankey
|
64ed153391a1122a3194e4febcb2947c2b847deb
|
[
"MIT"
] | null | null | null |
from ._csankey import to_sankeyhtml # noqa: F401
from ._csankey import to_sankeyjson # noqa: F401
| 33.333333
| 49
| 0.78
| 14
| 100
| 5.285714
| 0.571429
| 0.297297
| 0.459459
| 0.513514
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 0.16
| 100
| 2
| 50
| 50
| 0.809524
| 0.21
| 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
|
cf133fc2a433935c0dfa6517c0b7ec9d140bc03c
| 1,361
|
py
|
Python
|
database/migrations/0003_auto_20210503_2150.py
|
bpprc/database
|
6e8302729793ddf840630840bd08c96ddd35a52e
|
[
"BSD-3-Clause"
] | 1
|
2021-04-14T16:54:57.000Z
|
2021-04-14T16:54:57.000Z
|
database/migrations/0003_auto_20210503_2150.py
|
bpprc/database
|
6e8302729793ddf840630840bd08c96ddd35a52e
|
[
"BSD-3-Clause"
] | null | null | null |
database/migrations/0003_auto_20210503_2150.py
|
bpprc/database
|
6e8302729793ddf840630840bd08c96ddd35a52e
|
[
"BSD-3-Clause"
] | null | null | null |
# Generated by Django 3.1.4 on 2021-05-04 02:50
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("database", "0002_auto_20210503_2144"),
]
operations = [
migrations.AlterField(
model_name="oldnamenewnametableleft",
name="alternative_name",
field=models.CharField(max_length=250, null=True),
),
migrations.AlterField(
model_name="oldnamenewnametableleft",
name="name_1998",
field=models.CharField(max_length=250, null=True),
),
migrations.AlterField(
model_name="oldnamenewnametableleft",
name="name_2020",
field=models.CharField(max_length=250, null=True),
),
migrations.AlterField(
model_name="oldnamenewnametableright",
name="alternative_name",
field=models.CharField(max_length=250, null=True),
),
migrations.AlterField(
model_name="oldnamenewnametableright",
name="name_1998",
field=models.CharField(max_length=250, null=True),
),
migrations.AlterField(
model_name="oldnamenewnametableright",
name="name_2020",
field=models.CharField(max_length=250, null=True),
),
]
| 30.931818
| 62
| 0.597355
| 125
| 1,361
| 6.336
| 0.328
| 0.151515
| 0.189394
| 0.219697
| 0.809343
| 0.809343
| 0.743687
| 0.743687
| 0.743687
| 0.743687
| 0
| 0.067779
| 0.295371
| 1,361
| 43
| 63
| 31.651163
| 0.758081
| 0.033064
| 0
| 0.810811
| 1
| 0
| 0.182648
| 0.12481
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.027027
| 0
| 0.108108
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
cf519a7ac1a6d48596fbf2a4301f29baa57f1684
| 1,203
|
py
|
Python
|
python/ql/test/library-tests/frameworks/httpx/test.py
|
RoryPreddyGithubEnterprise/codeql
|
af27da1b39f5529faf4c5c6bcf01834f10d89aa9
|
[
"MIT"
] | 643
|
2018-08-03T11:16:54.000Z
|
2020-04-27T23:10:55.000Z
|
python/ql/test/library-tests/frameworks/httpx/test.py
|
RoryPreddyGithubEnterprise/codeql
|
af27da1b39f5529faf4c5c6bcf01834f10d89aa9
|
[
"MIT"
] | 1,880
|
2018-08-03T11:28:32.000Z
|
2020-04-28T13:18:51.000Z
|
python/ql/test/library-tests/frameworks/httpx/test.py
|
RoryPreddyGithubEnterprise/codeql
|
af27da1b39f5529faf4c5c6bcf01834f10d89aa9
|
[
"MIT"
] | 218
|
2018-08-03T11:16:58.000Z
|
2020-04-24T02:24:00.000Z
|
import httpx
httpx.get("url") # $ clientRequestUrlPart="url"
httpx.post("url") # $ clientRequestUrlPart="url"
httpx.patch("url") # $ clientRequestUrlPart="url"
httpx.options("url") # $ clientRequestUrlPart="url"
httpx.request("method", url="url") # $ clientRequestUrlPart="url"
httpx.stream("method", url="url") # $ clientRequestUrlPart="url"
client = httpx.Client()
response = client.get("url") # $ clientRequestUrlPart="url"
response = client.post("url") # $ clientRequestUrlPart="url"
response = client.patch("url") # $ clientRequestUrlPart="url"
response = client.options("url") # $ clientRequestUrlPart="url"
response = client.request("method", url="url") # $ clientRequestUrlPart="url"
response = client.stream("method", url="url") # $ clientRequestUrlPart="url"
client = httpx.AsyncClient()
response = client.get("url") # $ clientRequestUrlPart="url"
response = client.post("url") # $ clientRequestUrlPart="url"
response = client.patch("url") # $ clientRequestUrlPart="url"
response = client.options("url") # $ clientRequestUrlPart="url"
response = client.request("method", url="url") # $ clientRequestUrlPart="url"
response = client.stream("method", url="url") # $ clientRequestUrlPart="url"
| 48.12
| 77
| 0.719867
| 122
| 1,203
| 7.098361
| 0.114754
| 0.47806
| 0.540416
| 0.39261
| 0.790993
| 0.790993
| 0.742494
| 0.742494
| 0.669746
| 0.669746
| 0
| 0
| 0.093932
| 1,203
| 24
| 78
| 50.125
| 0.794495
| 0.433084
| 0
| 0.571429
| 0
| 0
| 0.135747
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.047619
| 0
| 0.047619
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d86a921c410ca179db9281c570ddd2458ae6d558
| 23,280
|
py
|
Python
|
main.py
|
catubc/MOTION
|
528ce8a860e4f1f1075b85d3bcb162fb78bdad81
|
[
"MIT"
] | null | null | null |
main.py
|
catubc/MOTION
|
528ce8a860e4f1f1075b85d3bcb162fb78bdad81
|
[
"MIT"
] | null | null | null |
main.py
|
catubc/MOTION
|
528ce8a860e4f1f1075b85d3bcb162fb78bdad81
|
[
"MIT"
] | null | null | null |
#Toolbox to detect motion in behaviour video
from MOTION import MOTION
from MOTION import plot_metadata, emptyObject
import glob, os
import matplotlib.pyplot as plt
import numpy as np
#import matplotlib
#matplotlib.use('TkAgg')
#************************************************
#********************* OLD LIST ********************
#************************************************
#M20160226
#filename = '/home/cat/data/in_vivo/luis/20160226/M20160226_003/20160226_003.avi'
#filename = '/home/cat/data/in_vivo/luis/20160226/M20160226_004/20160226_004.avi'
#filename = '/home/cat/data/in_vivo/luis/20160226/M20160226_005/20160226_005.avi'
#filename = '/home/cat/data/in_vivo/luis/20160226/M20160226_006/20160226_006.avi'
#filename = '/home/cat/data/in_vivo/luis/20160226/M20160226_007/20160226_007.avi'
#filename = '/home/cat/data/in_vivo/luis/20160226/M20160226_008/20160226_008.avi'
#filename = '/home/cat/data/in_vivo/luis/20160226/M20160226_009/20160226_009.avi'
#filename = '/home/cat/data/in_vivo/luis/20160226/M20160226_010/20160226_010.avi'
#filename = '/home/cat/data/in_vivo/luis/20160226/M20160226_011/20160226_011.avi'
#M20160309
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_001/20160309_001.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_002/20160309_002.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_003/20160309_003.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_004/20160309_004.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_005/M20160309_005.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_006/20160309_006.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_007/20160309_007.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_008/20160309_008.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_009/20160309_009.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_010/20160309_010.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_011/20160309_011.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_012/20160309_012.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160309/M20160309_013/20160309_013.avi'
#M20160515
#filename = '/media/cat/250GB/in_vivo/luis/20160415/M20160415_001/20160415_001.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160415/M20160415_002/20160415_002.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160415/M20160415_003/20160415_003.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160415/M20160415_004/20160415_004.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160415/M20160415_005/20160415_005.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160415/M20160415_006/20160415_006.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160415/M20160415_007/20160415_007.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160415/M20160415_008/20160415_008.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160415/M20160415_009/20160415_009.avi'
#20160429
#filename = '/media/cat/250GB/in_vivo/luis/20160429/M20160429_001/20160429_001.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160429/M20160429_002/20160429_002.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160429/M20160429_003/20160429_003.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160429/M20160429_004/20160429_004.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160429/M20160429_005/20160429_005.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160429/M20160429_006/20160429_006.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160429/M20160429_007/20160429_007.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160429/M20160429_008/20160429_008.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160429/M20160429_009/20160429_009.avi'
#filename = '/media/cat/250GB/in_vivo/luis/20160429/M20160429_010/20160429_010.avi'
#************************************************************************************************
#******************************** NEW LIST ******************************************************
#************************************************************************************************
#20160229
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_001/20160229_001.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_002/20160229_002.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_003/20160229_003.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_004/20160229_004.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_005/20160229_005.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_006/20160229_006.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_007/20160229_007.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_008/20160229_008.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_009/20160229_009.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_010/20160229_010.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_011/20160229_011.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_012/20160229_012.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_013/20160229_013.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_014/20160229_014.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_015/20160229_015.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_016/20160229_016.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_017/20160229_017.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_018/20160229_018.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_019/20160229_019.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160229/M20160229_020/20160229_020.avi'
#20160304
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_001/20160304_001.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_002/20160304_002.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_003/20160304_003.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_004/20160304_004.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_005/20160304_005.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_006/20160304_006.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_007/20160304_007.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_008/20160304_008.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_009/20160304_009.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_010/20160304_010.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_011/20160304_011.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_013/20160304_013.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_014/20160304_014.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_015/20160304_015.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_016/20160304_016.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_017/20160304_017.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_018/20160304_018.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160304/M20160304_019/20160304_019.avi'
#20160418
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160418/M20160418_001/20160418_001.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160418/M20160418_002/20160418_002.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160418/M20160418_003/20160418_003.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160418/M20160418_004/20160418_004.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160418/M20160418_005/20160418_005.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160418/M20160418_006/20160418_006.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160418/M20160418_007/20160418_007.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160418/M20160418_008/20160418_008.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160418/M20160418_009/20160418_009.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160418/M20160418_010/20160418_010.avi'
##20160420
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_001/20160420_001.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_002/20160420_002.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_003/20160420_003.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_004/20160420_004.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_005/20160420_005.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_006/20160420_006.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_007/20160420_007.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_008/20160420_008.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_009/20160420_009.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_010/20160420_010.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_011/20160420_011.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_012/20160420_012.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_013/20160420_013.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_014/20160420_014.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_015/20160420_015.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_016/20160420_016.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_017/20160420_017.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160420/M20160420_018/20160420_018.avi'
##20160921
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_001/20160921_001.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_002/20160921_002.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_003/20160921_003.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_004/20160921_004.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_005/20160921_005.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_006/20160921_006.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_007/20160921_007.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_008/20160921_008.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_009/20160921_009.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_010/20160921_010.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_011/20160921_011.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_012/20160921_012.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_013/20160921_013.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_014/20160921_014.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_015/20160921_015.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_016/20160921_016.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_017/20160921_017.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_018/20160921_018.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_019/20160921_019.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_020/20160921_020.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20160921/M20160921_021/20160921_021.avi'
##20161013
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161013/M20161013_001/20161013_001.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161013/M20161013_002/20161013_002.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161013/M20161013_003/20161013_003.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161013/M20161013_004/20161013_004.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161013/M20161013_005/20161013_005.avi'
##20161021
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_001/20161021_001.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_002/20161021_002.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_003/20161021_003.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_004/20161021_004.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_005/20161021_005.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_006/20161021_006.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_007/20161021_007.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_008/20161021_008.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_009/20161021_009.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_010/20161021_010.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_011/20161021_011.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_012/20161021_012.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_013/20161021_013.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_014/20161021_014.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_015/20161021_015.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_016/20161021_016.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161021/M20161021_017/20161021_017.avi'
##20161204
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_001/20161204_001.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_002/20161204_002.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_003/20161204_003.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_004/20161204_004.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_005/20161204_005.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_006/20161204_006.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_007/20161204_007.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_008/20161204_008.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_009/20161204_009.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_010/20161204_010.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_011/20161204_011.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_012/20161204_012.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_013/20161204_013.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_014/20161204_014.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161204/M20161204_015/20161204_015.avi'
##20161205
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_001/20161205_001.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_002/20161205_002.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_003/20161205_003.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_004/20161205_004.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_005/20161205_005.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_006/20161205_006.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_007/20161205_007.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_008/20161205_008.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_009/20161205_009.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_010/20161205_010.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_011/20161205_011.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_012/20161205_012.avi'
##20161230
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161230/M20161230_001/20161230_001.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161230/M20161230_002/20161230_002.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161230/M20161230_003/20161230_003.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161230/M20161230_004/20161230_004.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161230/M20161230_005/20161230_005.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161230/M20161230_006/20161230_006.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161230/M20161230_007/20161230_007.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161230/M20161230_008/20161230_008.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161230/M20161230_009/20161230_009.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161230/M20161230_010/20161230_010.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161230/M20161230_011/20161230_011.avi'
#filename = '/media/cat/2TB/in_vivo/luis/updated_video_list/20161230/M20161230_012/20161230_012.avi'
#****************load meta data ******************
root_dirs = [
'/media/cat/2TB/in_vivo/luis/updated_video_list/20160229',
'/media/cat/2TB/in_vivo/luis/updated_video_list/20160304',
'/media/cat/2TB/in_vivo/luis/updated_video_list/20160418',
'/media/cat/2TB/in_vivo/luis/updated_video_list/20160420',
'/media/cat/2TB/in_vivo/luis/updated_video_list/20160921',
'/media/cat/2TB/in_vivo/luis/updated_video_list/20161013',
'/media/cat/2TB/in_vivo/luis/updated_video_list/20161021',
'/media/cat/2TB/in_vivo/luis/updated_video_list/20161024',
'/media/cat/2TB/in_vivo/luis/updated_video_list/20161204',
'/media/cat/2TB/in_vivo/luis/updated_video_list/20161205',
'/media/cat/2TB/in_vivo/luis/updated_video_list/20161230'
]
output = emptyObject()
output.scale = 20
output.drift_matrix = np.zeros((len(root_dirs)*output.scale,21*output.scale),dtype=np.int8)*np.nan
output.spout_matrix = np.zeros((len(root_dirs)*output.scale,21*output.scale),dtype=np.int8)*np.nan
output.lick_matrix = np.zeros((len(root_dirs)*output.scale,21*output.scale),dtype=np.int8)*np.nan
output.paw_matrix = np.zeros((len(root_dirs)*output.scale,21*output.scale),dtype=np.int8)*np.nan
output.scratch_matrix = np.zeros((len(root_dirs)*output.scale,21*output.scale),dtype=np.int8)*np.nan
output.root_dirs = root_dirs
img_array = []
titles_array = []
for rt_ctr, root_dir in enumerate(root_dirs):
sessions = sorted(glob.glob(root_dir+'/*'))
for ses_ctr,session in enumerate(sessions):
if 'notes' in session: continue
session_name = os.path.split(session)[1]
if session_name[0]=="M":
filename = session+'/'+session_name[1:]+'.avi'
else:
filename = session+'/'+session_name+'.avi'
#************************************************
#******************* SET PARAMETERS *************
#************************************************
mot = MOTION(filename) #Asigns mot.filename = filename
mot.show_vid = False #Flag to see videos during dim_reduction process
#mot.frame_rate = 9.375058 #Frame rate, now loading from .avi metadata
mot.area = 'mouth' #Name of area to be cropped
mot.plot_3D = False #Option to cluster data in 3D using opengl routines; not yet adopted
mot.mode='all' #select mode for reducing frames: none, contours, edges
mot.methods = ['MDS', 'tSNE', 'PCA', 'BHtSNE', 'LLE','HLLE', 'LTSA', 'TRTE','SE']
mot.method = 2
mot.rt_ctr = rt_ctr
mot.ses_ctr = ses_ctr
#************************************************
#***************** PROCESS VIDEO ****************
#************************************************
if True:
#if '20160921_013' in filename:
#if filename == '/media/cat/2TB/in_vivo/luis/updated_video_list/20161205/M20161205_007/M20161205_007.avi':
mot.crop() #Crop video to area indicated above
#mot.motion_correct_caiman() #Caiman module for motion correction
#mot.binarize_frames() #Reduce the video: none, contours, edges
#mot.detect_movement() #Detect movement by computing euclidean distance
#mot.annotate_frames() #Annotate movie frames; calls multiple functions
#mot.recluster_id = 'rest' #Re-annotate some of the frames clustered above
#mot.resplit_cluster(cluster=mot.recluster_id)
#mot.save_metadata()
pass
#************************************************
#***************** RELOAD META DATA ************
#************************************************
#output = mot.read_metadata(output)
behaviour = 'mouth_open'
img = mot.load_frames(behaviour)
if img != None:
img_array.append(img)
titles_array.append(session_name)
n_plots = 3
ctr=0
fig = plt.figure()
fig.tight_layout()
indexes = np.random.choice(np.arange(len(img_array)),n_plots*n_plots)
plt.suptitle("Examples of "+behaviour+" frames", fontsize=25)
for k in range(n_plots):
for p in range(n_plots):
ax=plt.subplot(n_plots,n_plots,ctr+1)
plt.title(titles_array[indexes[ctr]])
plt.imshow(img_array[indexes[ctr]])
ax.get_xaxis().set_visible(False); ax.yaxis.set_ticks([]); ax.yaxis.labelpad = 0
ctr+=1
plt.show()
#Plot data
plot_metadata(output)
| 68.269795
| 107
| 0.781143
| 3,525
| 23,280
| 4.885106
| 0.06922
| 0.070035
| 0.116725
| 0.184262
| 0.758072
| 0.757549
| 0.757549
| 0.757549
| 0.757549
| 0.739837
| 0
| 0.279598
| 0.046864
| 23,280
| 340
| 108
| 68.470588
| 0.496462
| 0.860481
| 0
| 0
| 0
| 0
| 0.231386
| 0.202003
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.014493
| 0.072464
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
d87b76e9f98686553d1d4f13aaa83cad13429063
| 150
|
py
|
Python
|
pykap/__init__.py
|
cemsinano/pykap
|
b49b2c53d40aa27b68186fb8b595dd41f3c5a21b
|
[
"MIT"
] | 2
|
2021-06-09T06:25:23.000Z
|
2022-02-14T06:42:54.000Z
|
pykap/__init__.py
|
cemsinano/pykap
|
b49b2c53d40aa27b68186fb8b595dd41f3c5a21b
|
[
"MIT"
] | null | null | null |
pykap/__init__.py
|
cemsinano/pykap
|
b49b2c53d40aa27b68186fb8b595dd41f3c5a21b
|
[
"MIT"
] | null | null | null |
from .bist import *
from .investment_funds import *
from .get_bist_companies import *
from .get_general_info import *
from .bist_company_list import *
| 30
| 33
| 0.806667
| 22
| 150
| 5.181818
| 0.5
| 0.350877
| 0.22807
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126667
| 150
| 5
| 34
| 30
| 0.870229
| 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
|
d881e49e847eb5d692291299a62eda704e8ee55d
| 71,445
|
py
|
Python
|
server/dashboard/server.py
|
lovish1234/TPC
|
10e93eeb0e22e411579cfb9f94fac7870f6e2039
|
[
"MIT"
] | null | null | null |
server/dashboard/server.py
|
lovish1234/TPC
|
10e93eeb0e22e411579cfb9f94fac7870f6e2039
|
[
"MIT"
] | null | null | null |
server/dashboard/server.py
|
lovish1234/TPC
|
10e93eeb0e22e411579cfb9f94fac7870f6e2039
|
[
"MIT"
] | null | null | null |
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import numpy as np
from gulpio import GulpDirectory
from epic_kitchens.dataset.epic_dataset import EpicVideoDataset, EpicVideoFlowDataset, GulpVideoSegment
from pathlib import Path
from PIL import Image, ImageDraw, ImageFont
from datetime import datetime, timedelta
from math import log, e
from epic_kitchens import meta
import plotly.graph_objects as go
import plotly.express as px
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
def pd_to_dict(df, entity='verbs'):
x_coarse_dict = {}
for index, row in df.iterrows():
x_list = row[entity]
x_class = row['class_key']
for i in x_list:
x_coarse_dict[i] = x_class
return x_coarse_dict
def get_unique_keys_2(dictionary, class_mapping):
unique_dictionary = {}
for key in dictionary:
if key in class_mapping:
if class_mapping[key] in unique_dictionary:
unique_dictionary[class_mapping[key]] += dictionary[key]
else:
unique_dictionary[class_mapping[key]] = dictionary[key]
else:
pass
return unique_dictionary
def get_unique_entity_nested(dictionary, class_mapping):
unique_dictionary = {}
for key in dictionary:
entity = key
if entity in class_mapping:
unique_action = class_mapping[entity]
if unique_action in unique_dictionary:
unique_dictionary[unique_action] = combine_dict(
unique_dictionary[unique_action], dictionary[key])
else:
unique_dictionary[unique_action] = dictionary[key]
else:
pass
for key in unique_dictionary:
temp_dict = {}
for x in unique_dictionary[key]:
if x in class_mapping:
unique_action = class_mapping[x]
if unique_action in temp_dict:
temp_dict[unique_action] += unique_dictionary[key][x]
else:
temp_dict[unique_action] = unique_dictionary[key][x]
else:
pass
unique_dictionary[key] = temp_dict
return unique_dictionary
def combine_dict(dict_1, dict_2):
comb_dict = {}
for key in dict_1:
if key in dict_2:
comb_dict[key] = dict_1[key] + dict_2[key]
else:
comb_dict[key] = dict_1[key]
for key in dict_2:
if key not in comb_dict:
comb_dict[key] = dict_2[key]
return comb_dict
def change_dict_format(dict_1, type='verb'):
key_list = []
value_list = []
dict_final = {}
for key, value in dict_1.items():
key_list.append(key)
value_list.append(value)
if type == 'verb':
dict_final = {'Verbs': key_list, 'Number of instances': value_list}
elif type == 'noun':
dict_final = {'Nouns': key_list, 'Number of instances': value_list}
elif type == 'action':
dict_final = {'Actions': key_list, 'Number of instances': value_list}
return dict_final
gulp_root = Path(
'/proj/vondrick/datasets/epic-kitchens/data/processed/gulp')
class_type = 'verb+noun'
rgb_train = EpicVideoDataset(gulp_root / 'rgb_train', class_type)
segment_uids = list(rgb_train.gulp_dir.merged_meta_dict.keys())
def get_dataframe_verb(entity='open', participant='All', video='All', degree=1):
verb_dict = {}
verb_dict_nested = {}
for i in range(len(segment_uids) - int(degree)):
# for each video, this should be broken down
example_meta_entry = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i]]
example_meta_entry_next = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i + int(
degree)]]
vid = example_meta_entry['meta_data'][0]['video_id']
vid_next = example_meta_entry_next['meta_data'][0]['video_id']
pid, vid = vid.split('_')
pid_next, vid_next = vid_next.split('_')
# if the action is not from the same sequence, do not add
if pid != pid_next or vid != vid_next:
continue
participant_id = example_meta_entry['meta_data'][0]['participant_id']
video_id = example_meta_entry['meta_data'][0]['video_id'].split(
'_')[-1]
if participant == 'All' or participant_id == participant:
pass
elif participant_id != participant:
continue
if video == 'All' or video_id == video:
pass
elif video_id != video:
continue
verb = example_meta_entry['meta_data'][0]['verb']
verb_next = example_meta_entry_next['meta_data'][0]['verb']
# verbs
if verb in verb_dict:
verb_dict[verb] += 1
else:
verb_dict[verb] = 1
if verb in verb_dict_nested:
if verb_next in verb_dict_nested[verb]:
verb_dict_nested[verb][verb_next] += 1
else:
verb_dict_nested[verb][verb_next] = 1
else:
verb_dict_nested[verb] = {}
verb_dict_nested[verb][verb_next] = 1
verb_dict_nested = get_unique_entity_nested(
verb_dict_nested, verb_coarse_dict)
verb_dict = get_unique_keys_2(verb_dict, verb_coarse_dict)
verb_dict = change_dict_format(verb_dict, type='verb')
entity_dict = change_dict_format(verb_dict_nested[entity], type='verb')
return entity_dict, verb_dict
def get_average_time_histogram(action_1, action_2):
time_list = []
FMT = '%H:%M:%S.%f'
time_dict_action = {}
for i in range(len(segment_uids)):
example_meta_entry = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i]]
start_time = example_meta_entry['meta_data'][0]['start_timestamp']
stop_time = example_meta_entry['meta_data'][0]['stop_timestamp']
noun = example_meta_entry['meta_data'][0]['noun']
verb = example_meta_entry['meta_data'][0]['verb']
action = verb + ' ' + noun
tdelta = datetime.strptime(stop_time, FMT) - \
datetime.strptime(start_time, FMT)
if action in time_dict_action:
time_dict_action[action].append(tdelta.total_seconds())
else:
time_dict_action[action] = [tdelta.total_seconds()]
time_list.append(tdelta.total_seconds())
time_dict_action = get_unique_actions(
time_dict_action, noun_coarse_dict, verb_coarse_dict)
df_action1 = pd.DataFrame.from_dict(time_dict_action[action_1])
df_action1 = df_action1.rename(columns={0: "time"})
df_action2 = pd.DataFrame.from_dict(time_dict_action[action_2])
df_action2 = df_action2.rename(columns={0: "time"})
df_action1['action'] = [action_1] * len(df_action1.index)
df_action2['action'] = [action_2] * len(df_action2.index)
df_action1 = df_action1.append(df_action2)
return (df_action1)
def get_dataframe_noun_seconds(entity='open', participant='All', video='All', degree=1, a=1, b=5):
noun_dict = {}
noun_dict_nested = {}
for i in range(len(segment_uids) - 1):
# for each video, this should be broken down
example_meta_entry = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i]]
actions_tube = get_future_actions(i, a, b)
participant_id = example_meta_entry['meta_data'][0]['participant_id']
video_id = example_meta_entry['meta_data'][0]['video_id'].split(
'_')[-1]
if participant == 'All' or participant_id == participant:
pass
elif participant_id != participant:
continue
if video == 'All' or video_id == video:
pass
elif video_id != video:
continue
# case where there is no annotation
if actions_tube == []:
noun = example_meta_entry['meta_data'][0]['noun']
verb = example_meta_entry['meta_data'][0]['verb']
action = verb + ' ' + noun
noun_next = 'None'
verb_next = 'None'
action_next = 'None None'
# nouns
if noun in noun_dict:
noun_dict[noun] += 1
else:
noun_dict[noun] = 1
if noun in noun_dict_nested:
if noun_next in noun_dict_nested[noun]:
noun_dict_nested[noun][noun_next] += 1
else:
noun_dict_nested[noun][noun_next] = 1
else:
noun_dict_nested[noun] = {}
noun_dict_nested[noun][noun_next] = 1
for j in range(len(actions_tube)):
example_meta_entry_next = rgb_train.gulp_dir.merged_meta_dict[
segment_uids[actions_tube[j]]]
vid = example_meta_entry['meta_data'][0]['video_id']
vid_next = example_meta_entry_next['meta_data'][0]['video_id']
pid, vid = vid.split('_')
pid_next, vid_next = vid_next.split('_')
# if the action is not from the same sequence, do not add
if pid != pid_next or vid != vid_next:
continue
noun = example_meta_entry['meta_data'][0]['noun']
verb = example_meta_entry['meta_data'][0]['verb']
action = verb + ' ' + noun
noun_next = example_meta_entry_next['meta_data'][0]['noun']
verb_next = example_meta_entry_next['meta_data'][0]['verb']
action_next = verb_next + ' ' + noun_next
# nouns
if noun in noun_dict:
noun_dict[noun] += 1
else:
noun_dict[noun] = 1
if noun in noun_dict_nested:
if noun_next in noun_dict_nested[noun]:
noun_dict_nested[noun][noun_next] += 1
else:
noun_dict_nested[noun][noun_next] = 1
else:
noun_dict_nested[noun] = {}
noun_dict_nested[noun][noun_next] = 1
noun_dict_nested = get_unique_entity_nested(
noun_dict_nested, noun_coarse_dict)
noun_dict = get_unique_keys_2(noun_dict, noun_coarse_dict)
noun_dict = change_dict_format(noun_dict, type='noun')
#verb, noun = act.split(' ')
entity_dict = change_dict_format(noun_dict_nested[entity], type='noun')
return entity_dict, noun_dict
def get_dateframe_verb_seconds(entity='open', participant='All', video='All', degree=1, a=1, b=5):
verb_dict = {}
verb_dict_nested = {}
for i in range(len(segment_uids) - 1):
# for each video, this should be broken down
example_meta_entry = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i]]
actions_tube = get_future_actions(i, 1, 5)
participant_id = example_meta_entry['meta_data'][0]['participant_id']
video_id = example_meta_entry['meta_data'][0]['video_id'].split(
'_')[-1]
if participant == 'All' or participant_id == participant:
pass
elif participant_id != participant:
continue
if video == 'All' or video_id == video:
pass
elif video_id != video:
continue
# case where there is no annotation
if actions_tube == []:
noun = example_meta_entry['meta_data'][0]['noun']
verb = example_meta_entry['meta_data'][0]['verb']
action = verb + ' ' + noun
noun_next = 'None'
verb_next = 'None'
action_next = 'None None'
# verbs
if verb in verb_dict:
verb_dict[verb] += 1
else:
verb_dict[verb] = 1
if verb in verb_dict_nested:
if verb_next in verb_dict_nested[verb]:
verb_dict_nested[verb][verb_next] += 1
else:
verb_dict_nested[verb][verb_next] = 1
else:
verb_dict_nested[verb] = {}
verb_dict_nested[verb][verb_next] = 1
for j in range(len(actions_tube)):
example_meta_entry_next = rgb_train.gulp_dir.merged_meta_dict[
segment_uids[actions_tube[j]]]
vid = example_meta_entry['meta_data'][0]['video_id']
vid_next = example_meta_entry_next['meta_data'][0]['video_id']
pid, vid = vid.split('_')
pid_next, vid_next = vid_next.split('_')
# if the action is not from the same sequence, do not add
if pid != pid_next or vid != vid_next:
continue
noun = example_meta_entry['meta_data'][0]['noun']
verb = example_meta_entry['meta_data'][0]['verb']
action = verb + ' ' + noun
noun_next = example_meta_entry_next['meta_data'][0]['noun']
verb_next = example_meta_entry_next['meta_data'][0]['verb']
action_next = verb_next + ' ' + noun_next
# verbs
if verb in verb_dict:
verb_dict[verb] += 1
else:
verb_dict[verb] = 1
if verb in verb_dict_nested:
if verb_next in verb_dict_nested[verb]:
verb_dict_nested[verb][verb_next] += 1
else:
verb_dict_nested[verb][verb_next] = 1
else:
verb_dict_nested[verb] = {}
verb_dict_nested[verb][verb_next] = 1
verb_dict_nested = get_unique_entity_nested(
verb_dict_nested, verb_coarse_dict)
verb_dict = get_unique_keys_2(verb_dict, verb_coarse_dict)
verb_dict = change_dict_format(verb_dict, type='verb')
entity_dict = change_dict_format(verb_dict_nested[entity], type='verb')
return entity_dict, verb_dict
def get_dataframe_noun(entity='open', participant='All', video='All', degree=1):
noun_dict = {}
noun_dict_nested = {}
for i in range(len(segment_uids) - int(degree)):
# for each video, this should be broken down
example_meta_entry = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i]]
example_meta_entry_next = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i + int(
degree)]]
vid = example_meta_entry['meta_data'][0]['video_id']
vid_next = example_meta_entry_next['meta_data'][0]['video_id']
pid, vid = vid.split('_')
pid_next, vid_next = vid_next.split('_')
# if the action is not from the same sequence, do not add
if pid != pid_next or vid != vid_next:
continue
participant_id = example_meta_entry['meta_data'][0]['participant_id']
video_id = example_meta_entry['meta_data'][0]['video_id'].split(
'_')[-1]
if participant == 'All' or participant_id == participant:
pass
elif participant_id != participant:
continue
if video == 'All' or video_id == video:
pass
elif video_id != video:
continue
noun = example_meta_entry['meta_data'][0]['noun']
noun_next = example_meta_entry_next['meta_data'][0]['noun']
# nouns
if noun in noun_dict:
noun_dict[noun] += 1
else:
noun_dict[noun] = 1
if noun in noun_dict_nested:
if noun_next in noun_dict_nested[noun]:
noun_dict_nested[noun][noun_next] += 1
else:
noun_dict_nested[noun][noun_next] = 1
else:
noun_dict_nested[noun] = {}
noun_dict_nested[noun][noun_next] = 1
noun_dict_nested = get_unique_entity_nested(
noun_dict_nested, noun_coarse_dict)
noun_dict = get_unique_keys_2(noun_dict, noun_coarse_dict)
noun_dict = change_dict_format(noun_dict, type='noun')
entity_dict = change_dict_format(noun_dict_nested[entity], type='noun')
return entity_dict, noun_dict
def get_unique_actions(dictionary, class_mapping_nouns, class_mapping_verbs):
unique_dictionary = {}
for key in dictionary:
# print(key)
verb, noun = key.split(' ')
if noun in class_mapping_nouns and verb in class_mapping_verbs:
unique_action = class_mapping_verbs[verb] + \
' ' + class_mapping_nouns[noun]
if unique_action in unique_dictionary:
unique_dictionary[unique_action] += dictionary[key]
else:
unique_dictionary[unique_action] = dictionary[key]
else:
pass
return unique_dictionary
def get_unique_actions_nested(dictionary, class_mapping_nouns, class_mapping_verbs):
unique_dictionary = {}
for key in dictionary:
verb, noun = key.split(' ')
if noun in class_mapping_nouns and verb in class_mapping_verbs:
unique_action = class_mapping_verbs[verb] + \
' ' + class_mapping_nouns[noun]
if unique_action in unique_dictionary:
unique_dictionary[unique_action] = combine_dict(
unique_dictionary[unique_action], dictionary[key])
else:
unique_dictionary[unique_action] = dictionary[key]
else:
pass
for key in unique_dictionary:
temp_dict = {}
for x in unique_dictionary[key]:
verb, noun = x.split(' ')
if noun in class_mapping_nouns and verb in class_mapping_verbs:
unique_action = class_mapping_verbs[verb] + \
' ' + class_mapping_nouns[noun]
if unique_action in temp_dict:
temp_dict[unique_action] += unique_dictionary[key][x]
else:
temp_dict[unique_action] = unique_dictionary[key][x]
else:
pass
unique_dictionary[key] = temp_dict
return unique_dictionary
def get_future_actions(i, a, b):
example_meta_entry = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i]]
present = example_meta_entry['meta_data'][0]['video_id']
pid, vid = present.split('_')
start_time = example_meta_entry['meta_data'][0]['start_timestamp']
stop_time = example_meta_entry['meta_data'][0]['stop_timestamp']
start_time_present = datetime.strptime(start_time, "%H:%M:%S.%f")
stop_time_present = datetime.strptime(stop_time, "%H:%M:%S.%f")
start_time_future_intervel = stop_time_present + timedelta(seconds=int(a))
stop_time_future_intervel = stop_time_present + timedelta(seconds=int(b))
#print (start_time_future_intervel, stop_time_future_intervel)
list_future = []
for j in range(i + 1, len(segment_uids) - 1):
# if the action is not from the same sequence, do not add
example_meta_entry_next = rgb_train.gulp_dir.merged_meta_dict[segment_uids[j]]
future = example_meta_entry_next['meta_data'][0]['video_id']
pid_next, vid_next = future.split('_')
start_time = example_meta_entry_next['meta_data'][0]['start_timestamp']
stop_time = example_meta_entry_next['meta_data'][0]['stop_timestamp']
start_time_future = datetime.strptime(start_time, "%H:%M:%S.%f")
stop_time_future = datetime.strptime(stop_time, "%H:%M:%S.%f")
#print (start_time_future, stop_time_future)
if pid != pid_next or vid != vid_next:
break
if (start_time_future_intervel > stop_time_future) or (stop_time_future_intervel < start_time_future):
break
else:
list_future.append(j)
return list_future
def get_dataframe_action(entity='open fridge', participant='All', video='All', degree=1):
action_dict = {}
action_dict_nested = {}
for i in range(len(segment_uids) - int(degree)):
# for each video, this should be broken down
example_meta_entry = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i]]
example_meta_entry_next = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i + int(
degree)]]
vid = example_meta_entry['meta_data'][0]['video_id']
vid_next = example_meta_entry_next['meta_data'][0]['video_id']
pid, vid = vid.split('_')
pid_next, vid_next = vid_next.split('_')
# if the action is not from the same sequence, do not add
if pid != pid_next or vid != vid_next:
continue
participant_id = example_meta_entry['meta_data'][0]['participant_id']
video_id = example_meta_entry['meta_data'][0]['video_id'].split(
'_')[-1]
if participant == 'All' or participant_id == participant:
pass
elif participant_id != participant:
continue
if video == 'All' or video_id == video:
pass
elif video_id != video:
continue
noun = example_meta_entry['meta_data'][0]['noun']
verb = example_meta_entry['meta_data'][0]['verb']
action = verb + ' ' + noun
noun_next = example_meta_entry_next['meta_data'][0]['noun']
verb_next = example_meta_entry_next['meta_data'][0]['verb']
action_next = verb_next + ' ' + noun_next
if action in action_dict:
action_dict[action] += 1
else:
action_dict[action] = 1
if action in action_dict_nested:
if action_next in action_dict_nested[action]:
action_dict_nested[action][action_next] += 1
else:
action_dict_nested[action][action_next] = 1
else:
action_dict_nested[action] = {}
action_dict_nested[action][action_next] = 1
action_dict_nested = get_unique_actions_nested(
action_dict_nested, noun_coarse_dict, verb_coarse_dict)
action_dict = get_unique_actions(
action_dict, noun_coarse_dict, verb_coarse_dict)
#action_dict = change_dict_format(action_dict, type='action')
entity_dict = change_dict_format(action_dict_nested[entity], type='action')
return entity_dict
def get_dataframe_action_seconds(entity='open fridge', participant='All', video='All', a=1, b=5):
action_dict = {}
action_dict_nested = {}
for i in range(len(segment_uids) - 1):
# for each video, this should be broken down
example_meta_entry = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i]]
actions_tube = get_future_actions(i, a, b)
participant_id = example_meta_entry['meta_data'][0]['participant_id']
video_id = example_meta_entry['meta_data'][0]['video_id'].split(
'_')[-1]
if participant == 'All' or participant_id == participant:
pass
elif participant_id != participant:
continue
if video == 'All' or video_id == video:
pass
elif video_id != video:
continue
noun = example_meta_entry['meta_data'][0]['noun']
verb = example_meta_entry['meta_data'][0]['verb']
action = verb + ' ' + noun
# case where there is no annotation
if actions_tube == []:
noun_next = 'None'
verb_next = 'None'
action_next = 'None None'
if action in action_dict:
action_dict[action] += 1
else:
action_dict[action] = 1
if action in action_dict_nested:
if action_next in action_dict_nested[action]:
action_dict_nested[action][action_next] += 1
else:
action_dict_nested[action][action_next] = 1
else:
action_dict_nested[action] = {}
action_dict_nested[action][action_next] = 1
for j in range(len(actions_tube)):
example_meta_entry_next = rgb_train.gulp_dir.merged_meta_dict[
segment_uids[actions_tube[j]]]
vid = example_meta_entry['meta_data'][0]['video_id']
vid_next = example_meta_entry_next['meta_data'][0]['video_id']
pid, vid = vid.split('_')
pid_next, vid_next = vid_next.split('_')
# if the action is not from the same sequence, do not add
if pid != pid_next or vid != vid_next:
continue
noun_next = example_meta_entry_next['meta_data'][0]['noun']
verb_next = example_meta_entry_next['meta_data'][0]['verb']
action_next = verb_next + ' ' + noun_next
# actions
if action in action_dict:
action_dict[action] += 1
else:
action_dict[action] = 1
if action in action_dict_nested:
if action_next in action_dict_nested[action]:
action_dict_nested[action][action_next] += 1
else:
action_dict_nested[action][action_next] = 1
else:
action_dict_nested[action] = {}
action_dict_nested[action][action_next] = 1
action_dict_nested = get_unique_actions_nested(
action_dict_nested, noun_coarse_dict, verb_coarse_dict)
action_dict = get_unique_actions(
action_dict, noun_coarse_dict, verb_coarse_dict)
#action_dict = change_dict_format(action_dict)
entity_dict = change_dict_format(action_dict_nested[entity], type='action')
return entity_dict
def get_noun_verb_dict(coarse_flag=True,
range_min_noun=1,
range_max_noun=320,
range_min_verb=1,
range_max_verb=119,
range_min_action=1,
range_max_action=2200,
participant='All',
video='All'):
noun_dict = {}
verb_dict = {}
action_dict = {}
for i in range(len(segment_uids)):
example_meta_entry = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i]]
noun = example_meta_entry['meta_data'][0]['noun']
verb = example_meta_entry['meta_data'][0]['verb']
participant_id = example_meta_entry['meta_data'][0]['participant_id']
video_id = example_meta_entry['meta_data'][0]['video_id'].split(
'_')[-1]
# print('Video_id: ', video_id)
# print('Video: ', video)
if participant == 'All' or participant_id == participant:
pass
elif participant_id != participant:
continue
if video == 'All' or video_id == video:
pass
elif video_id != video:
continue
action = verb + ' ' + noun
if noun in noun_dict:
noun_dict[noun] += 1
else:
noun_dict[noun] = 1
if verb in verb_dict:
verb_dict[verb] += 1
else:
verb_dict[verb] = 1
if action in action_dict:
action_dict[action] += 1
else:
action_dict[action] = 1
if coarse_flag:
noun_dict = get_unique_keys_2(noun_dict, noun_coarse_dict)
verb_dict = get_unique_keys_2(verb_dict, verb_coarse_dict)
action_dict = get_unique_actions(
action_dict, noun_coarse_dict, verb_coarse_dict)
noun_dict_sorted = {k: v for k, v in sorted(
noun_dict.items(), key=lambda item: item[1], reverse=True)[range_min_noun - 1:range_max_noun - 1]}
verb_dict_sorted = {k: v for k, v in sorted(
verb_dict.items(), key=lambda item: item[1], reverse=True)[range_min_verb - 1:range_max_verb - 1]}
action_dict_sorted = {k: v for k, v in sorted(
action_dict.items(), key=lambda item: item[1], reverse=True)[range_min_action - 1:range_max_action - 1]}
noun_dict_sorted = change_dict_format(noun_dict_sorted)
verb_dict_sorted = change_dict_format(verb_dict_sorted)
action_dict_sorted = change_dict_format(action_dict_sorted)
return noun_dict_sorted, verb_dict_sorted, action_dict_sorted
# actions which entain most number of actions divided by the number of times they occur
def get_entropy(action_dict, action_count_dict):
list_actions = []
list_entropy = []
list_count = []
for key in action_dict:
values = list(action_dict[key].values())
sum_values = sum(action_dict[key].values())
count = action_count_dict[key]
probs = [i / sum_values for i in values]
# Compute entropy
ent = 0.
base = None
base = e if base is None else base
for i in probs:
ent -= i * log(i, base)
list_actions.append(key)
list_entropy.append(ent)
list_count.append(count)
return list_actions, list_entropy, list_count
def get_most_uncertain_actions():
noun_dict = {}
verb_dict = {}
action_dict = {}
action_dict_nested = {}
for i in range(len(segment_uids) - 1):
# for each video, this should be broken down
example_meta_entry = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i]]
example_meta_entry_next = rgb_train.gulp_dir.merged_meta_dict[segment_uids[i + 1]]
vid = example_meta_entry['meta_data'][0]['video_id']
vid_next = example_meta_entry_next['meta_data'][0]['video_id']
pid, vid = vid.split('_')
pid_next, vid_next = vid_next.split('_')
# if the action is not from the same sequence, do not add
if pid != pid_next or vid != vid_next:
continue
noun = example_meta_entry['meta_data'][0]['noun']
verb = example_meta_entry['meta_data'][0]['verb']
action = verb + ' ' + noun
noun_next = example_meta_entry_next['meta_data'][0]['noun']
verb_next = example_meta_entry_next['meta_data'][0]['verb']
action_next = verb_next + ' ' + noun_next
if action in action_dict:
action_dict[action] += 1
else:
action_dict[action] = 1
if action in action_dict_nested:
if action_next in action_dict_nested[action]:
action_dict_nested[action][action_next] += 1
else:
action_dict_nested[action][action_next] = 1
else:
action_dict_nested[action] = {}
action_dict_nested[action][action_next] = 1
action_dict_nested = get_unique_actions_nested(
action_dict_nested, noun_coarse_dict, verb_coarse_dict)
action_dict = get_unique_actions(
action_dict, noun_coarse_dict, verb_coarse_dict)
#print(action_dict_nested, action_dict)
list_actions, list_entropy, list_count = get_entropy(
action_dict_nested, action_dict)
#print (list_actions[0], list_entropy[0], list_count[0])
list_common = zip(list_actions, list_entropy, list_count)
list_common = sorted(list_common, key=lambda tup: tup[1], reverse=True)
list_actions = [i[0] for i in list_common]
list_entropy = [i[1] for i in list_common]
list_count = [i[2] for i in list_common]
dict_entropy = {}
dict_scatter = {'Action': list_actions,
'Entropy': list_entropy, 'Number of Instances': list_count}
pd_scatter = pd.DataFrame.from_dict(dict_scatter)
for i in range(len(list_actions)):
dict_entropy[list_actions[i]] = list_entropy[i]
entropy_sorted = {k: v for k, v in sorted(
dict_entropy.items(), key=lambda item: item[1], reverse=True)}
entropy_sorted = change_dict_format(entropy_sorted)
return (pd_scatter, entropy_sorted)
# get_scatter_plot(dict_scatter)
# print (statistics.mean(list_entropy), statistics.median(list_entropy), statistics.stdev(list_entropy))
# available_indicators = df['Indicator Name'].unique()
df_noun = meta.noun_classes()
df_verb = meta.verb_classes()
# include None as an action
df2_noun = pd.DataFrame({"class_key": ['None'], "nouns": [['None']]})
df_noun = df_noun.append(df2_noun)
df2_verb = pd.DataFrame({"class_key": ['None'], "verbs": [['None']]})
df_verb = df_verb.append(df2_verb)
noun_coarse_dict = pd_to_dict(df_noun, entity='nouns')
verb_coarse_dict = pd_to_dict(df_verb, entity='verbs')
# available verbs
_, verb_dict = get_dataframe_verb(entity='open')
available_entities_verb = pd.DataFrame.from_dict(verb_dict)['Verbs'].unique()
# available nouns
_, noun_dict = get_dataframe_noun(entity='fridge')
available_entities_noun = pd.DataFrame.from_dict(noun_dict)['Nouns'].unique()
action_dict = get_dataframe_action(entity='open fridge')
# video and participant info
df_meta = meta.video_info()
df_meta['participant'] = df_meta.index.str.split('_')
df_meta['video'] = df_meta.index.str.split('_')
df_meta['participant'] = df_meta['participant'].apply(lambda x: x[0])
df_meta['video'] = df_meta['video'].apply(lambda x: x[1])
# available participants
df_meta = df_meta.append(
{'participant': 'All', 'video': 'All'}, ignore_index=True)
available_participants = df_meta['participant'].unique()
# available_videos for a particular participant
def available_videos(participant_id):
# number of videos for one participant
if participant_id == 'All':
return ['All']
else:
available_vid = list(df_meta[df_meta['participant']
== participant_id]['video'].unique())
available_vid.append('All')
return (available_vid)
app.layout = html.Div([
html.Div([
html.Div([
"Dashboard : Epic-Kitchens Dataset"
],
style={'width': '90%',
'text-align': 'center',
'display': 'inline-block',
'fontWeight': 'bold',
'text-decoration': 'underline',
'font-family': 'Arial, Helvetica, sans-serif'})
], style={
#'borderWidth': 'medium',
#'borderColor': 'blue',
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'padding': '40px 40px',
'border-radius': '15px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
"Participants"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
html.Div([
html.Div([
"Participant ID"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='general-entity-1',
options=[{'label': i, 'value': i}
for i in available_participants],
value='All'
),
],
style={'width': '49%', 'display': 'inline-block'}),
html.Div([
html.Div([
"Video ID"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='general-entity-2',
# options=[{'label': 'All',
# 'value': 'All'}],
# value='All'
),
], style={'width': '49%', 'float': 'right', 'display': 'inline-block'})
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'padding': '10px 5px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
"Participants: 32"
],
style={'width': '23%',
'text-align': 'center',
'display': 'inline-block',
'padding': '5px 5px',
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'margin-right': ' 5px',
}),
html.Div([
"Videos: " + str(len(df_meta.index) - 1)
# len(example_meta_entry)
],
style={'width': '23%',
'text-align': 'center',
'display': 'inline-block',
'padding': '5px 5px',
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'margin-right': ' 5px',
}),
html.Div([
"Nouns"
],
style={'width': '23%',
'text-align': 'center',
'display': 'inline-block',
'padding': '5px 5px',
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'margin-right': ' 5px',
}),
html.Div([
"Verbs"
], style={'width': '23%',
'text-align': 'center',
'display': 'inline-block',
'padding': '5px 5px',
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
})
], style={
'padding': '10px 5px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
html.Div([
"Noun Plots"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='bar-entity-1',
options=[{'label': 'Noun Distribution',
'value': 'Noun Distribution'}],
value='Noun Distribution'
),
dcc.RadioItems(
id='bar-entity-1-radio',
options=[{'label': i, 'value': i} for i in ['Linear', 'Log']],
value='Log',
labelStyle={'display': 'inline-block'}
)
],
style={'width': '49%', 'display': 'inline-block'}),
html.Div([
html.Div([
"Verb Plots"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='bar-entity-2',
options=[{'label': 'Verb Distribution',
'value': 'Verb Distribution'}],
value='Verb Distribution'
),
dcc.RadioItems(
id='bar-entity-2-radio',
options=[{'label': i, 'value': i} for i in ['Linear', 'Log']],
value='Log',
labelStyle={'display': 'inline-block'}
)
], style={'width': '49%', 'float': 'right', 'display': 'inline-block'})
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'padding': '10px 5px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
dcc.Graph(
id='bar-chart-1',
#hoverData={'points': [{'customdata': 'Japan'}]}
),
dcc.RangeSlider(
id='bar-chart-1-slider',
min=1,
max=320,
# marks={'2':'2','5':'5'},
value=[1, 320],
step=10,
),
# html.Div([
# dcc.Slider(
# id='bar-chart-1-slider',
# min=0,
# max=10,
# value=10,
# marks={'2':'2','5':'5'},
# step=None
# ),
], style={'width': '49%', 'display': 'inline-block', 'padding': '0 20'}),
html.Div([
dcc.Graph(
id='bar-chart-2'
),
dcc.RangeSlider(
id='bar-chart-2-slider',
min=1,
max=119,
# marks={'2':'2','5':'5'},
value=[1, 119],
step=10,
),
], style={'display': 'inline-block', 'width': '49%'}),
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'padding': '40px 40px',
'border-radius': '15px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
html.Div([
"Actions Plots"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='bar-entity-3',
options=[{'label': 'Action Distribution',
'value': 'Action Distribution'}],
value='Action Distribution'
),
dcc.RadioItems(
id='bar-entity-3-radio',
options=[{'label': i, 'value': i} for i in ['Linear', 'Log']],
value='Log',
labelStyle={'display': 'inline-block', 'align': 'center'}
)
],
style={'width': '49%', 'display': 'inline-block'}),
html.Div([
html.Div([
"Action Entropy Plots"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='bar-entity-4',
options=[{'label': 'Action Entropy Distribution',
'value': 'Action Entropy Distribution'},
{'label': 'Action Entropy Scatter Plot',
'value': 'Action Entropy Scatter Plot'}],
value='Action Entropy Distribution'
) # ,
# dcc.RadioItems(
# id='bar-entity-4-radio',
# options=[{'label': i, 'value': i} for i in ['Linear', 'Log']],
# value='Log',
# labelStyle={'display': 'inline-block'}
# )
], style={'width': '49%', 'float': 'right', 'display': 'inline-block'})
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'padding': '10px 5px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
dcc.Graph(
id='bar-chart-3',
#hoverData={'points': [{'customdata': 'Japan'}]}
),
dcc.RangeSlider(
id='bar-chart-3-slider',
min=1,
max=2000,
# marks={'2':'2','5':'5'},
value=[1, 2000],
step=20,
),
], style={'width': '49%', 'display': 'inline-block', 'padding': '0 20'}),
html.Div([
dcc.Graph(
id='bar-chart-4'
),
dcc.RangeSlider(
id='bar-chart-4-slider',
min=1,
max=2000,
# marks={'2':'2','5':'5'},
value=[1, 2000],
step=20,
),
], style={'display': 'inline-block', 'width': '49%'}),
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'padding': '40px 40px',
'border-radius': '15px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
"Future Action Module"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
html.Div([
html.Div([
"Verb"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='entity-1',
options=[{'label': i, 'value': i}
for i in available_entities_verb],
value='open'
)
], style={'width': '49%', 'display': 'inline-block'}),
html.Div([
html.Div([
"Noun"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='entity-2',
options=[{'label': i, 'value': i}
for i in available_entities_noun],
value='fridge'
)
], style={'width': '49%', 'float': 'right', 'display': 'inline-block'}),
html.Div([
html.Div([
"Degree"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='entity-3',
options=[{'label': i, 'value': i}
for i in [1, 2, 3, 4, 5]],
value='1'
)
], style={'width': '99%', 'display': 'inline-block'}),
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'padding': '10px 5px',
'margin-bottom': ' 5px',
}),
# html.Div([
# html.Div([
# dcc.Dropdown(
# id='entity-3',
# options=[{'label': i, 'value': i}
# for i in [1,2,3,4,5]],
# value='1'
# )
# ],
# style={'width': '99%', 'display': 'inline-block'}),
# ], style={
# 'borderTop': 'thin lightgrey solid',
# 'borderLeft': 'thin lightgrey solid',
# 'borderRight': 'thin lightgrey solid',
# 'borderBottom': 'thin lightgrey solid',
# 'backgroundColor': 'rgb(250, 250, 250)',
# 'border-radius': '15px',
# 'padding': '10px 5px',
# 'margin-bottom': ' 5px',
# }),
html.Div([
html.Div([
dcc.Graph(
id='pie-chart',
#hoverData={'points': [{'customdata': 'Japan'}]}
)
], style={'width': '49%', 'display': 'inline-block', 'padding': '0 20'}),
html.Div([
dcc.Graph(
id='pie-chart-2'
)
], style={'display': 'inline-block', 'width': '49%'}),
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'padding': '10px 5px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
dcc.Graph(
id='pie-chart-3'
)
], style={'display': 'inline-block', 'width': '100%', 'margin-left': 'auto', 'margin-right': 'auto'}),
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'padding': '10px 5px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
"Future Action Module [ in seconds ]"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
html.Div([
html.Div([
"Verb"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='entity-1-seconds',
options=[{'label': i, 'value': i}
for i in available_entities_verb],
value='open'
)
], style={'width': '49%', 'display': 'inline-block'}),
html.Div([
html.Div([
"Noun"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='entity-2-seconds',
options=[{'label': i, 'value': i}
for i in available_entities_noun],
value='fridge'
)
], style={'width': '49%', 'float': 'right', 'display': 'inline-block'}),
html.Div([
html.Div([
"Start time offset"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='time-offset-1',
options=[{'label': i, 'value': i}
for i in [1, 2, 3, 4, 5]],
value='1'
)
], style={'width': '49%', 'display': 'inline-block'}),
html.Div([
html.Div([
"End time offset"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='time-offset-2',
options=[{'label': i, 'value': i}
for i in [1, 2, 3, 4, 5]],
value='2'
)
], style={'width': '49%', 'float': 'right', 'display': 'inline-block'}),
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'padding': '10px 5px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
dcc.Graph(
id='pie-chart-4',
#hoverData={'points': [{'customdata': 'Japan'}]}
)
], style={'width': '49%', 'display': 'inline-block', 'padding': '0 20'}),
html.Div([
dcc.Graph(
id='pie-chart-5'
)
], style={'display': 'inline-block', 'width': '49%'}),
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'padding': '10px 5px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
dcc.Graph(
id='pie-chart-6'
)
], style={'display': 'inline-block', 'width': '100%', 'margin-left': 'auto', 'margin-right': 'auto'}),
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'padding': '10px 5px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
"Action-time Module"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
html.Div([
html.Div([
"Verb-1"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='verb-action-1',
options=[{'label': i, 'value': i}
for i in available_entities_verb],
value='open'
)
], style={'width': '49%', 'display': 'inline-block'}),
html.Div([
html.Div([
"Noun-1"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='noun-action-1',
options=[{'label': i, 'value': i}
for i in available_entities_noun],
value='fridge'
)
], style={'width': '49%', 'float': 'right', 'display': 'inline-block'}),
html.Div([
html.Div([
"Verb-2"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='verb-action-2',
options=[{'label': i, 'value': i}
for i in available_entities_verb],
value='open'
)
], style={'width': '49%', 'display': 'inline-block'}),
html.Div([
html.Div([
"Noun-2"
],
style={'width': '99%',
'text-align': 'center',
'font-weight': 'bold',
'padding': '5px 5px',
'backgroundColor': 'rgb(250, 250, 250)',
}),
dcc.Dropdown(
id='noun-action-2',
options=[{'label': i, 'value': i}
for i in available_entities_noun],
value='drawer'
)
], style={'width': '49%', 'float': 'right', 'display': 'inline-block'}),
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'padding': '10px 5px',
'margin-bottom': ' 5px',
}),
html.Div([
html.Div([
dcc.Graph(
id='hist-1'
)
], style={'display': 'inline-block', 'width': '100%', 'margin-left': 'auto', 'margin-right': 'auto'}),
], style={
'borderTop': 'thin lightgrey solid',
'borderLeft': 'thin lightgrey solid',
'borderRight': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'backgroundColor': 'rgb(250, 250, 250)',
'border-radius': '15px',
'padding': '10px 5px',
'margin-bottom': ' 5px',
}),
])
@app.callback(
dash.dependencies.Output('general-entity-2', 'options'),
[dash.dependencies.Input('general-entity-1', 'value')])
def set_video_options(entity_name_1):
return [{'label': i, 'value': i} for i in available_videos(entity_name_1)]
@app.callback(
dash.dependencies.Output('general-entity-2', 'value'),
[dash.dependencies.Input('general-entity-2', 'options')])
def set_cities_value(entity_name_1):
return entity_name_1[-1]['value']
@app.callback(
dash.dependencies.Output('bar-chart-1', 'figure'),
[dash.dependencies.Input('bar-entity-1', 'value'),
dash.dependencies.Input('bar-entity-1-radio', 'value'),
dash.dependencies.Input('bar-chart-1-slider', 'value'),
dash.dependencies.Input('general-entity-1', 'value'),
dash.dependencies.Input('general-entity-2', 'value'),
#dash.dependencies.Input('crossfilter-year--slider', 'value')
])
def update_graph(entity_name_1, entity_name_2, entity_name_3, entity_name_4, entity_name_5):
range_min_noun, range_max_noun = entity_name_3[0], entity_name_3[1]
dictionary, _, _ = get_noun_verb_dict(
coarse_flag=True, range_min_noun=range_min_noun, range_max_noun=range_max_noun, participant=entity_name_4, video=entity_name_5)
df = pd.DataFrame.from_dict(dictionary)
barchart = px.bar(df, x="Verbs", y="Number of instances", labels={
'Verbs': 'Nouns', 'Number of instances': 'Number of instances'}, title="Most frequent nouns")
if entity_name_2 == 'Log':
barchart = barchart.update_layout(yaxis_type="log")
elif entity_name_2 == 'Linear':
pass
return (barchart)
@app.callback(
dash.dependencies.Output('bar-chart-2', 'figure'),
[dash.dependencies.Input('bar-entity-2', 'value'),
dash.dependencies.Input('bar-entity-2-radio', 'value'),
dash.dependencies.Input('bar-chart-2-slider', 'value'),
dash.dependencies.Input('general-entity-1', 'value'),
dash.dependencies.Input('general-entity-2', 'value'),
#dash.dependencies.Input('crossfilter-xaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-yaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-year--slider', 'value')
])
def update_graph(entity_name_1, entity_name_2, entity_name_3, entity_name_4, entity_name_5):
range_min_verb, range_max_verb = entity_name_3[0], entity_name_3[1]
_, dictionary, _ = get_noun_verb_dict(
coarse_flag=True, range_min_verb=range_min_verb, range_max_verb=range_max_verb, participant=entity_name_4, video=entity_name_5)
df = pd.DataFrame.from_dict(dictionary)
barchart = px.bar(df, x="Verbs", y="Number of instances", labels={
'Verbs': 'Verbs', 'Number of instances': 'Number of instances'}, title="Most frequent verbs")
if entity_name_2 == 'Log':
barchart = barchart.update_layout(yaxis_type="log")
elif entity_name_2 == 'Linear':
pass
return (barchart)
@app.callback(
dash.dependencies.Output('bar-chart-3', 'figure'),
[dash.dependencies.Input('bar-entity-3', 'value'),
dash.dependencies.Input('bar-entity-3-radio', 'value'),
dash.dependencies.Input('bar-chart-3-slider', 'value'),
dash.dependencies.Input('general-entity-1', 'value'),
dash.dependencies.Input('general-entity-2', 'value'),
#dash.dependencies.Input('crossfilter-xaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-yaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-year--slider', 'value')
])
def update_graph(entity_name_1, entity_name_2, entity_name_3, entity_name_4, entity_name_5):
range_min_action, range_max_action = entity_name_3[0], entity_name_3[1]
_, _, dictionary = get_noun_verb_dict(
coarse_flag=True, range_min_action=range_min_action, range_max_action=range_max_action, participant=entity_name_4, video=entity_name_5)
df = pd.DataFrame.from_dict(dictionary)
barchart = px.bar(df, x="Verbs", y="Number of instances", labels={
'Verbs': 'Actions', 'Number of instances': 'Number of instances'}, title="Most frequent actions")
if entity_name_2 == 'Log':
barchart = barchart.update_layout(yaxis_type="log")
elif entity_name_2 == 'Linear':
pass
return (barchart)
# action entropy
@app.callback(
dash.dependencies.Output('bar-chart-4', 'figure'),
[dash.dependencies.Input('bar-entity-4', 'value'),
#dash.dependencies.Input('bar-entity-4-radio', 'value')
#dash.dependencies.Input('crossfilter-xaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-yaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-year--slider', 'value')
])
def update_graph(entity_name_1):
if entity_name_1 == 'Action Entropy Distribution':
_, dictionary = get_most_uncertain_actions()
df = pd.DataFrame.from_dict(dictionary)
barchart = px.bar(df, x="Verbs", y="Number of instances", labels={
'Verbs': 'Actions', 'Number of instances': 'Entropy'}, title="Most diverse actions")
return (barchart)
elif entity_name_1 == 'Action Entropy Scatter Plot':
df, _ = get_most_uncertain_actions()
#df = pd.DataFrame.from_dict(dictionary)
scatterplot = px.scatter(df, x="Entropy", y="Number of Instances", hover_name="Action", labels={
'Action': 'Action', 'Number of Instances': 'Number of samples', 'Entropy': 'Entropy'}, title="Entropy vs. Samples")
return (scatterplot)
@app.callback(
dash.dependencies.Output('pie-chart', 'figure'),
[dash.dependencies.Input('entity-1', 'value'),
dash.dependencies.Input('general-entity-1', 'value'),
dash.dependencies.Input('entity-3', 'value'),
dash.dependencies.Input('general-entity-2', 'value'),
#dash.dependencies.Input('crossfilter-xaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-yaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-year--slider', 'value')
])
def update_graph(entity_name_1, entity_name_2, entity_name_3, entity_name_4):
entity_dict, verb_dict = get_dataframe_verb(
entity=entity_name_1, participant=entity_name_2, degree=entity_name_3, video=entity_name_4)
piechart = px.pie(entity_dict, values='Number of instances', labels={
'Verbs': 'Next verbs', 'Number of instances': 'Number of instances'}, names='Verbs', title='Next verb given present action:')
return (piechart)
@app.callback(
dash.dependencies.Output('pie-chart-2', 'figure'),
[dash.dependencies.Input('entity-2', 'value'),
dash.dependencies.Input('general-entity-1', 'value'),
dash.dependencies.Input('entity-3', 'value'),
dash.dependencies.Input('general-entity-2', 'value'),
#dash.dependencies.Input('crossfilter-xaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-yaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-year--slider', 'value')
])
def update_graph(entity_name_1, entity_name_2, entity_name_3, entity_name_4):
entity_dict, noun_dict = get_dataframe_noun(
entity=entity_name_1, participant=entity_name_2, degree=entity_name_3, video=entity_name_4)
piechart = px.pie(entity_dict, values='Number of instances', labels={
'Verbs': 'Next nouns', 'Number of instances': 'Number of instances'}, names='Nouns', title='Next noun given present action:')
return (piechart)
@app.callback(
dash.dependencies.Output('pie-chart-3', 'figure'),
[dash.dependencies.Input('entity-1', 'value'),
dash.dependencies.Input('entity-2', 'value'),
dash.dependencies.Input('general-entity-1', 'value'),
dash.dependencies.Input('entity-3', 'value'),
dash.dependencies.Input('general-entity-2', 'value'),
#dash.dependencies.Input('crossfilter-yaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-year--slider', 'value')
])
def update_graph(entity_name_1, entity_name_2, entity_name_3, entity_name_4, entity_name_5):
action_dict = get_dataframe_action(
entity=entity_name_1 + ' ' + entity_name_2, participant=entity_name_3, degree=entity_name_4, video=entity_name_5)
piechart = px.pie(action_dict, values='Number of instances', labels={
'Actions': 'Next actions', 'Number of instances': 'Number of instances'}, names='Actions', title='Next action given present action:')
return (piechart)
@app.callback(
dash.dependencies.Output('pie-chart-4', 'figure'),
[dash.dependencies.Input('entity-1-seconds', 'value'),
dash.dependencies.Input('general-entity-1', 'value'),
dash.dependencies.Input('time-offset-1', 'value'),
dash.dependencies.Input('time-offset-2', 'value'),
dash.dependencies.Input('general-entity-2', 'value'),
#dash.dependencies.Input('crossfilter-yaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-year--slider', 'value')
])
def update_graph(entity_name_1, entity_name_2, entity_name_3, entity_name_4, entity_name_5):
entity_dict, verb_dict = get_dateframe_verb_seconds(
entity=entity_name_1, participant=entity_name_2, a=entity_name_3, b=entity_name_4, video=entity_name_5)
piechart = px.pie(entity_dict, values='Number of instances', labels={
'Verbs': 'Next verbs', 'Number of instances': 'Number of instances'}, names='Verbs', title='Next verb given present action:')
return (piechart)
@app.callback(
dash.dependencies.Output('pie-chart-5', 'figure'),
[dash.dependencies.Input('entity-2-seconds', 'value'),
dash.dependencies.Input('general-entity-1', 'value'),
dash.dependencies.Input('time-offset-1', 'value'),
dash.dependencies.Input('time-offset-2', 'value'),
dash.dependencies.Input('general-entity-2', 'value'),
#dash.dependencies.Input('crossfilter-xaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-yaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-year--slider', 'value')
])
def update_graph(entity_name_1, entity_name_2, entity_name_3, entity_name_4, entity_name_5):
entity_dict, noun_dict = get_dataframe_noun_seconds(
entity=entity_name_1, participant=entity_name_2, a=entity_name_3, b=entity_name_4, video=entity_name_5)
piechart = px.pie(entity_dict, values='Number of instances', labels={
'Verbs': 'Next nouns', 'Number of instances': 'Number of instances'}, names='Nouns', title='Next noun given present action:')
return (piechart)
@app.callback(
dash.dependencies.Output('pie-chart-6', 'figure'),
[dash.dependencies.Input('entity-1-seconds', 'value'),
dash.dependencies.Input('entity-2-seconds', 'value'),
dash.dependencies.Input('general-entity-1', 'value'),
dash.dependencies.Input('time-offset-1', 'value'),
dash.dependencies.Input('time-offset-2', 'value'),
dash.dependencies.Input('general-entity-2', 'value'),
#dash.dependencies.Input('crossfilter-yaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-year--slider', 'value')
])
def update_graph(entity_name_1, entity_name_2, entity_name_3, entity_name_4, entity_name_5, entity_name_6):
action_dict = get_dataframe_action_seconds(
entity=entity_name_1 + ' ' + entity_name_2, participant=entity_name_3, a=entity_name_4, b=entity_name_5, video=entity_name_6)
piechart = px.pie(action_dict, values='Number of instances', labels={
'Actions': 'Next actions', 'Number of instances': 'Number of instances'}, names='Actions', title='Next action given present action:')
return (piechart)
@app.callback(
dash.dependencies.Output('hist-1', 'figure'),
[dash.dependencies.Input('noun-action-1', 'value'),
dash.dependencies.Input('verb-action-1', 'value'),
dash.dependencies.Input('noun-action-2', 'value'),
dash.dependencies.Input('verb-action-2', 'value'),
#dash.dependencies.Input('crossfilter-yaxis-type', 'value'),
#dash.dependencies.Input('crossfilter-year--slider', 'value')
])
def update_graph(entity_name_1, entity_name_2, entity_name_3, entity_name_4):
action_1 = entity_name_2 + ' ' + entity_name_1
action_2 = entity_name_4 + ' ' + entity_name_3
df = get_average_time_histogram(action_1, action_2)
hist = px.histogram(df, x="time", color="action",
opacity=0.6, barmode="overlay")
return (hist)
if __name__ == '__main__':
app.run_server(debug=True)
| 35.108108
| 143
| 0.550171
| 8,002
| 71,445
| 4.675206
| 0.044364
| 0.028334
| 0.037208
| 0.046564
| 0.866055
| 0.844538
| 0.807837
| 0.781749
| 0.761273
| 0.744353
| 0
| 0.024313
| 0.314354
| 71,445
| 2,034
| 144
| 35.125369
| 0.739395
| 0.06766
| 0
| 0.748032
| 0
| 0
| 0.188454
| 0.000857
| 0
| 0
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| 1
| 0.020997
| false
| 0.015092
| 0.009186
| 0.001312
| 0.052493
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
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| 1
| 1
| 0
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|
0
| 7
|
2b142258998825bd43aa80bb805b7646baa6dd9d
| 46,274
|
py
|
Python
|
tests/test_scan.py
|
NeuronAddict/openid-scanner
|
c29c36d42d925138e1c432afa0a8f4893adb75ec
|
[
"Apache-2.0"
] | 25
|
2020-10-24T14:25:52.000Z
|
2022-03-28T18:42:57.000Z
|
tests/test_scan.py
|
NeuronAddict/openid-scanner
|
c29c36d42d925138e1c432afa0a8f4893adb75ec
|
[
"Apache-2.0"
] | 6
|
2020-09-19T16:33:25.000Z
|
2021-12-30T21:13:17.000Z
|
tests/test_scan.py
|
NeuronAddict/openid-scanner
|
c29c36d42d925138e1c432afa0a8f4893adb75ec
|
[
"Apache-2.0"
] | 6
|
2021-03-08T10:26:45.000Z
|
2021-12-19T14:04:35.000Z
|
import uuid
from typing import List
from requests import Session
from keycloak_scanner.logging.vuln_flag import VulnFlag
from keycloak_scanner.masterscanner import MasterScanner
from keycloak_scanner.scanners.clientregistration_scanner import ClientRegistrationScanner, ClientRegistration
from keycloak_scanner.scanners.clients_scanner import ClientScanner, Client, ClientConfig
from keycloak_scanner.scanners.form_post_xss_scanner import FormPostXssScanner
from keycloak_scanner.scanners.login_scanner import LoginScanner
from keycloak_scanner.scanners.none_sign_scanner import NoneSignScanner
from keycloak_scanner.scanners.open_redirect_scanner import OpenRedirectScanner, OpenRedirect
from keycloak_scanner.scanners.realm_scanner import RealmScanner
from keycloak_scanner.scan_base.scanner import Scanner
from keycloak_scanner.scanners.security_console_scanner import SecurityConsoleScanner
from keycloak_scanner.scan_base.types import Credential, Realm, Username, Password
from keycloak_scanner.scanners.well_known_scanner import WellKnownScanner, WellKnown
from keycloak_scanner.scan_base.wrap import WrapperTypes
from tests.mock_response import MockPrintLogger
class TestResult:
pass
class TestResultList(List[str], MockPrintLogger):
__test__ = False
class TestScanner(Scanner[TestResult], MockPrintLogger):
__test__ = False
def perform(self):
super().session().get(super().base_url())
return TestResult()
class TestScannerList(Scanner[TestResultList], MockPrintLogger):
__test__ = False
def perform(self):
super().session().get(super().base_url())
return TestResultList(), VulnFlag(True)
class TestMasterScanner(MasterScanner, MockPrintLogger):
__test__ = False
def __init__(self, **kwargs):
super().__init__(**kwargs)
def test_full_scan(base_url: str, full_scan_mock_session: Session, monkeypatch,
master_realm: Realm, other_realm: Realm,
client1: Client, client2: Client,
well_known_master: WellKnown,
well_known_other: WellKnown
):
monkeypatch.setattr(uuid, 'uuid4', value=lambda: '456789')
common_args = {
'base_url': base_url,
'session_provider': lambda: full_scan_mock_session
}
scanners = [
RealmScanner(realms=['master', 'other'], **common_args),
WellKnownScanner(**common_args),
ClientScanner(clients=['client1', 'client2'], **common_args),
LoginScanner(**common_args),
ClientRegistrationScanner(**common_args, callback_url=['http://callback']),
SecurityConsoleScanner(**common_args),
OpenRedirectScanner(**common_args),
FormPostXssScanner(**common_args),
NoneSignScanner(**common_args)
]
scanner = MasterScanner(scanners=scanners, initial_values={
WrapperTypes.USERNAME_TYPE: {Username('user')}, WrapperTypes.PASSWORD_TYPE: {Password('user')}
}, verbose=True)
scanner.start()
assert scanner.mediator.scan_results.get(WrapperTypes.CLIENT_REGISTRATION) == {
ClientRegistration('http://callback', name='keycloak-client-456789',
url='http://localhost:8080/auth/realms/master/clients-registrations/openid-connect/539ce782-5d15-4256-a5fa-1a46609d056b',
json={'redirect_uris': ['http://localhost:8080/callback'],
'token_endpoint_auth_method': 'client_secret_basic',
'grant_types': ['authorization_code', 'refresh_token'],
'response_types': ['code', 'none'],
'client_id': '539ce782-5d15-4256-a5fa-1a46609d056b',
'client_secret': 'c94f5fc0-0a04-4e2f-aec6-b1f5edad1d44',
'client_name': 'keycloak-client-456789',
'scope': 'address phone offline_access microprofile-jwt',
'jwks_uri': 'http://localhost:8080/public_keys.jwks',
'subject_type': 'pairwise',
'request_uris': ['http://localhost:8080/rf.txt'],
'tls_client_certificate_bound_access_tokens': False,
'client_id_issued_at': 1622306364, 'client_secret_expires_at': 0,
'registration_client_uri': 'http://localhost:8080/auth/realms/master/clients-registrations/openid-connect/539ce782-5d15-4256-a5fa-1a46609d056b',
'backchannel_logout_session_required': False}),
ClientRegistration('http://callback', name='keycloak-client-456789',
url='http://localhost:8080/auth/realms/other/clients-registrations/openid-connect/539ce782-5d15-4256-a5fa-1a46609d056b',
json={'redirect_uris': ['http://localhost:8080/callback'],
'token_endpoint_auth_method': 'client_secret_basic',
'grant_types': ['authorization_code', 'refresh_token'],
'response_types': ['code', 'none'],
'client_id': '539ce782-5d15-4256-a5fa-1a46609d056b',
'client_secret': 'c94f5fc0-0a04-4e2f-aec6-b1f5edad1d44',
'client_name': 'keycloak-client-456789',
'scope': 'address phone offline_access microprofile-jwt',
'jwks_uri': 'http://localhost:8080/public_keys.jwks',
'subject_type': 'pairwise',
'request_uris': ['http://localhost:8080/rf.txt'],
'tls_client_certificate_bound_access_tokens': False,
'client_id_issued_at': 1622306364, 'client_secret_expires_at': 0,
'registration_client_uri': 'http://localhost:8080/auth/realms/other/clients-registrations/openid-connect/539ce782-5d15-4256-a5fa-1a46609d056b',
'backchannel_logout_session_required': False})}
assert scanner.mediator.scan_results.get(WrapperTypes.CLIENT_TYPE) == {
Client('client1', 'http://localhost:8080/auth/realms/master/client1',
ClientConfig('client1',
'http://localhost:8080/realms/master/clients-registrations/default/client1',
{'id': '899e2dc1-5fc0-4eaf-bedb-f81a3f9e9313', 'clientId': 'admin-cli',
'name': '${client_admin-cli}', 'surrogateAuthRequired': False,
'enabled': True, 'alwaysDisplayInConsole': False,
'clientAuthenticatorType': 'client-secret', 'redirectUris': [],
'webOrigins': [], 'notBefore': 0, 'bearerOnly': False,
'consentRequired': False, 'standardFlowEnabled': False,
'implicitFlowEnabled': False, 'directAccessGrantsEnabled': False,
'serviceAccountsEnabled': False, 'publicClient': False,
'frontchannelLogout': False, 'protocol': 'openid-connect',
'attributes': {}, 'authenticationFlowBindingOverrides': {},
'fullScopeAllowed': False, 'nodeReRegistrationTimeout': 0,
'defaultClientScopes': ['web-origins', 'roles', 'profile', 'email'],
'optionalClientScopes': ['address', 'phone', 'offline_access',
'microprofile-jwt']})),
Client('client2', 'http://localhost:8080/auth/realms/master/client2', None),
Client('client1', 'http://localhost:8080/auth/realms/other/client1',
ClientConfig('client1',
'http://localhost:8080/realms/other/clients-registrations/default/client1',
{'id': '899e2dc1-5fc0-4eaf-bedb-f81a3f9e9313', 'clientId': 'admin-cli',
'name': '${client_admin-cli}', 'surrogateAuthRequired': False,
'enabled': True, 'alwaysDisplayInConsole': False,
'clientAuthenticatorType': 'client-secret', 'redirectUris': [],
'webOrigins': [], 'notBefore': 0, 'bearerOnly': False,
'consentRequired': False, 'standardFlowEnabled': False,
'implicitFlowEnabled': False, 'directAccessGrantsEnabled': False,
'serviceAccountsEnabled': False, 'publicClient': False,
'frontchannelLogout': False, 'protocol': 'openid-connect',
'attributes': {}, 'authenticationFlowBindingOverrides': {},
'fullScopeAllowed': False, 'nodeReRegistrationTimeout': 0,
'defaultClientScopes': ['web-origins', 'roles', 'profile', 'email'],
'optionalClientScopes': ['address', 'phone', 'offline_access',
'microprofile-jwt']})),
Client('client2', 'http://localhost:8080/auth/realms/other/client2', None)}
for r in scanner.mediator.scan_results.get(WrapperTypes.CREDENTIAL_TYPE):
print('####')
print(repr(r))
print(hash(r))
print('####')
assert scanner.mediator.scan_results.get(WrapperTypes.CREDENTIAL_TYPE) == {Credential(
Realm('master', 'http://localhost:8080/auth/realms/master', {'realm': 'master',
'public_key': 'MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwbbkdpQ9J5QR4nmfNL6y/+3PaIKzoeUIa1oRI1QlmXgtD/mCURhdVi52S0xQ8XGy2HIsrrct/G6rVMPDBzqa2bdKP0uB6iuuBmeH/RyJlMCdrXYTZjG5uWt6SlI7462966iqGYq1o3crHbSnLr/9OFIJD2zFBEYJZ2Xbd9IRcGpwpCSKJ5YAs1EnmLQrEBHxdLsQyIiHy5yU8bT5otgyS4tvn0UiY04zOonsvH5XmzvaZ77fo6DV8GY79eqCECiBF2OHUhZ7GjZfcHlKzeCS4vEODntPc/FzV+eqDkv9/ikDwJ9KHsLbIUkR9Ob2JE7jHg0a76CF2N/z8tztFAruawIDAQAB',
'token-service': 'http://localhost:8080/auth/realms/master/protocol/openid-connect',
'account-service': 'http://localhost:8080/auth/realms/master/account',
'tokens-not-before': 0}),
Client('client2', 'http://localhost:8080/auth/realms/other/client2', None), 'user', 'user'),
Credential(Realm('master',
'http://localhost:8080/auth/realms/master',
{'realm': 'master',
'public_key': 'MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwbbkdpQ9J5QR4nmfNL6y/+3PaIKzoeUIa1oRI1QlmXgtD/mCURhdVi52S0xQ8XGy2HIsrrct/G6rVMPDBzqa2bdKP0uB6iuuBmeH/RyJlMCdrXYTZjG5uWt6SlI7462966iqGYq1o3crHbSnLr/9OFIJD2zFBEYJZ2Xbd9IRcGpwpCSKJ5YAs1EnmLQrEBHxdLsQyIiHy5yU8bT5otgyS4tvn0UiY04zOonsvH5XmzvaZ77fo6DV8GY79eqCECiBF2OHUhZ7GjZfcHlKzeCS4vEODntPc/FzV+eqDkv9/ikDwJ9KHsLbIUkR9Ob2JE7jHg0a76CF2N/z8tztFAruawIDAQAB',
'token-service': 'http://localhost:8080/auth/realms/master/protocol/openid-connect',
'account-service': 'http://localhost:8080/auth/realms/master/account',
'tokens-not-before': 0}),
Client('client2',
'http://localhost:8080/auth/realms/master/client2',
None), 'user', 'user'),
Credential(Realm('master',
'http://localhost:8080/auth/realms/master',
{'realm': 'master',
'public_key': 'MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwbbkdpQ9J5QR4nmfNL6y/+3PaIKzoeUIa1oRI1QlmXgtD/mCURhdVi52S0xQ8XGy2HIsrrct/G6rVMPDBzqa2bdKP0uB6iuuBmeH/RyJlMCdrXYTZjG5uWt6SlI7462966iqGYq1o3crHbSnLr/9OFIJD2zFBEYJZ2Xbd9IRcGpwpCSKJ5YAs1EnmLQrEBHxdLsQyIiHy5yU8bT5otgyS4tvn0UiY04zOonsvH5XmzvaZ77fo6DV8GY79eqCECiBF2OHUhZ7GjZfcHlKzeCS4vEODntPc/FzV+eqDkv9/ikDwJ9KHsLbIUkR9Ob2JE7jHg0a76CF2N/z8tztFAruawIDAQAB',
'token-service': 'http://localhost:8080/auth/realms/master/protocol/openid-connect',
'account-service': 'http://localhost:8080/auth/realms/master/account',
'tokens-not-before': 0}),
Client('client1',
'http://localhost:8080/auth/realms/master/client1',
ClientConfig('client1',
'http://localhost:8080/realms/master/clients-registrations/default/client1',
{
'id': '899e2dc1-5fc0-4eaf-bedb-f81a3f9e9313',
'clientId': 'admin-cli',
'name': '${client_admin-cli}',
'surrogateAuthRequired': False,
'enabled': True,
'alwaysDisplayInConsole': False,
'clientAuthenticatorType': 'client-secret',
'redirectUris': [],
'webOrigins': [],
'notBefore': 0,
'bearerOnly': False,
'consentRequired': False,
'standardFlowEnabled': False,
'implicitFlowEnabled': False,
'directAccessGrantsEnabled': False,
'serviceAccountsEnabled': False,
'publicClient': False,
'frontchannelLogout': False,
'protocol': 'openid-connect',
'attributes': {},
'authenticationFlowBindingOverrides': {},
'fullScopeAllowed': False,
'nodeReRegistrationTimeout': 0,
'defaultClientScopes': [
'web-origins',
'roles',
'profile',
'email'],
'optionalClientScopes': [
'address',
'phone',
'offline_access',
'microprofile-jwt']})),
'user', 'user'),
Credential(Realm('other',
'http://localhost:8080/auth/realms/other',
{'realm': 'other',
'public_key': 'MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwbbkdpQ9J5QR4nmfNL6y/+3PaIKzoeUIa1oRI1QlmXgtD/mCURhdVi52S0xQ8XGy2HIsrrct/G6rVMPDBzqa2bdKP0uB6iuuBmeH/RyJlMCdrXYTZjG5uWt6SlI7462966iqGYq1o3crHbSnLr/9OFIJD2zFBEYJZ2Xbd9IRcGpwpCSKJ5YAs1EnmLQrEBHxdLsQyIiHy5yU8bT5otgyS4tvn0UiY04zOonsvH5XmzvaZ77fo6DV8GY79eqCECiBF2OHUhZ7GjZfcHlKzeCS4vEODntPc/FzV+eqDkv9/ikDwJ9KHsLbIUkR9Ob2JE7jHg0a76CF2N/z8tztFAruawIDAQAB',
'token-service': 'http://localhost:8080/auth/realms/other/protocol/openid-connect',
'account-service': 'http://localhost:8080/auth/realms/other/account',
'tokens-not-before': 0}),
Client('client2',
'http://localhost:8080/auth/realms/master/client2',
None), 'user', 'user'),
Credential(Realm('other',
'http://localhost:8080/auth/realms/other',
{'realm': 'other',
'public_key': 'MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwbbkdpQ9J5QR4nmfNL6y/+3PaIKzoeUIa1oRI1QlmXgtD/mCURhdVi52S0xQ8XGy2HIsrrct/G6rVMPDBzqa2bdKP0uB6iuuBmeH/RyJlMCdrXYTZjG5uWt6SlI7462966iqGYq1o3crHbSnLr/9OFIJD2zFBEYJZ2Xbd9IRcGpwpCSKJ5YAs1EnmLQrEBHxdLsQyIiHy5yU8bT5otgyS4tvn0UiY04zOonsvH5XmzvaZ77fo6DV8GY79eqCECiBF2OHUhZ7GjZfcHlKzeCS4vEODntPc/FzV+eqDkv9/ikDwJ9KHsLbIUkR9Ob2JE7jHg0a76CF2N/z8tztFAruawIDAQAB',
'token-service': 'http://localhost:8080/auth/realms/other/protocol/openid-connect',
'account-service': 'http://localhost:8080/auth/realms/other/account',
'tokens-not-before': 0}),
Client('client2',
'http://localhost:8080/auth/realms/other/client2',
None), 'user', 'user'),
Credential(Realm('other',
'http://localhost:8080/auth/realms/other',
{'realm': 'other',
'public_key': 'MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwbbkdpQ9J5QR4nmfNL6y/+3PaIKzoeUIa1oRI1QlmXgtD/mCURhdVi52S0xQ8XGy2HIsrrct/G6rVMPDBzqa2bdKP0uB6iuuBmeH/RyJlMCdrXYTZjG5uWt6SlI7462966iqGYq1o3crHbSnLr/9OFIJD2zFBEYJZ2Xbd9IRcGpwpCSKJ5YAs1EnmLQrEBHxdLsQyIiHy5yU8bT5otgyS4tvn0UiY04zOonsvH5XmzvaZ77fo6DV8GY79eqCECiBF2OHUhZ7GjZfcHlKzeCS4vEODntPc/FzV+eqDkv9/ikDwJ9KHsLbIUkR9Ob2JE7jHg0a76CF2N/z8tztFAruawIDAQAB',
'token-service': 'http://localhost:8080/auth/realms/other/protocol/openid-connect',
'account-service': 'http://localhost:8080/auth/realms/other/account',
'tokens-not-before': 0}),
Client('client1',
'http://localhost:8080/auth/realms/master/client1',
ClientConfig('client1',
'http://localhost:8080/realms/master/clients-registrations/default/client1',
{
'id': '899e2dc1-5fc0-4eaf-bedb-f81a3f9e9313',
'clientId': 'admin-cli',
'name': '${client_admin-cli}',
'surrogateAuthRequired': False,
'enabled': True,
'alwaysDisplayInConsole': False,
'clientAuthenticatorType': 'client-secret',
'redirectUris': [],
'webOrigins': [],
'notBefore': 0,
'bearerOnly': False,
'consentRequired': False,
'standardFlowEnabled': False,
'implicitFlowEnabled': False,
'directAccessGrantsEnabled': False,
'serviceAccountsEnabled': False,
'publicClient': False,
'frontchannelLogout': False,
'protocol': 'openid-connect',
'attributes': {},
'authenticationFlowBindingOverrides': {},
'fullScopeAllowed': False,
'nodeReRegistrationTimeout': 0,
'defaultClientScopes': [
'web-origins',
'roles',
'profile',
'email'],
'optionalClientScopes': [
'address',
'phone',
'offline_access',
'microprofile-jwt']})),
'user', 'user'),
Credential(Realm('other',
'http://localhost:8080/auth/realms/other',
{'realm': 'other',
'public_key': 'MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwbbkdpQ9J5QR4nmfNL6y/+3PaIKzoeUIa1oRI1QlmXgtD/mCURhdVi52S0xQ8XGy2HIsrrct/G6rVMPDBzqa2bdKP0uB6iuuBmeH/RyJlMCdrXYTZjG5uWt6SlI7462966iqGYq1o3crHbSnLr/9OFIJD2zFBEYJZ2Xbd9IRcGpwpCSKJ5YAs1EnmLQrEBHxdLsQyIiHy5yU8bT5otgyS4tvn0UiY04zOonsvH5XmzvaZ77fo6DV8GY79eqCECiBF2OHUhZ7GjZfcHlKzeCS4vEODntPc/FzV+eqDkv9/ikDwJ9KHsLbIUkR9Ob2JE7jHg0a76CF2N/z8tztFAruawIDAQAB',
'token-service': 'http://localhost:8080/auth/realms/other/protocol/openid-connect',
'account-service': 'http://localhost:8080/auth/realms/other/account',
'tokens-not-before': 0}),
Client('client1',
'http://localhost:8080/auth/realms/other/client1',
ClientConfig('client1',
'http://localhost:8080/realms/other/clients-registrations/default/client1',
{
'id': '899e2dc1-5fc0-4eaf-bedb-f81a3f9e9313',
'clientId': 'admin-cli',
'name': '${client_admin-cli}',
'surrogateAuthRequired': False,
'enabled': True,
'alwaysDisplayInConsole': False,
'clientAuthenticatorType': 'client-secret',
'redirectUris': [],
'webOrigins': [],
'notBefore': 0,
'bearerOnly': False,
'consentRequired': False,
'standardFlowEnabled': False,
'implicitFlowEnabled': False,
'directAccessGrantsEnabled': False,
'serviceAccountsEnabled': False,
'publicClient': False,
'frontchannelLogout': False,
'protocol': 'openid-connect',
'attributes': {},
'authenticationFlowBindingOverrides': {},
'fullScopeAllowed': False,
'nodeReRegistrationTimeout': 0,
'defaultClientScopes': [
'web-origins',
'roles',
'profile',
'email'],
'optionalClientScopes': [
'address',
'phone',
'offline_access',
'microprofile-jwt']})),
'user', 'user'),
Credential(Realm('master',
'http://localhost:8080/auth/realms/master',
{'realm': 'master',
'public_key': 'MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwbbkdpQ9J5QR4nmfNL6y/+3PaIKzoeUIa1oRI1QlmXgtD/mCURhdVi52S0xQ8XGy2HIsrrct/G6rVMPDBzqa2bdKP0uB6iuuBmeH/RyJlMCdrXYTZjG5uWt6SlI7462966iqGYq1o3crHbSnLr/9OFIJD2zFBEYJZ2Xbd9IRcGpwpCSKJ5YAs1EnmLQrEBHxdLsQyIiHy5yU8bT5otgyS4tvn0UiY04zOonsvH5XmzvaZ77fo6DV8GY79eqCECiBF2OHUhZ7GjZfcHlKzeCS4vEODntPc/FzV+eqDkv9/ikDwJ9KHsLbIUkR9Ob2JE7jHg0a76CF2N/z8tztFAruawIDAQAB',
'token-service': 'http://localhost:8080/auth/realms/master/protocol/openid-connect',
'account-service': 'http://localhost:8080/auth/realms/master/account',
'tokens-not-before': 0}),
Client('client1',
'http://localhost:8080/auth/realms/other/client1',
ClientConfig('client1',
'http://localhost:8080/realms/other/clients-registrations/default/client1',
{
'id': '899e2dc1-5fc0-4eaf-bedb-f81a3f9e9313',
'clientId': 'admin-cli',
'name': '${client_admin-cli}',
'surrogateAuthRequired': False,
'enabled': True,
'alwaysDisplayInConsole': False,
'clientAuthenticatorType': 'client-secret',
'redirectUris': [],
'webOrigins': [],
'notBefore': 0,
'bearerOnly': False,
'consentRequired': False,
'standardFlowEnabled': False,
'implicitFlowEnabled': False,
'directAccessGrantsEnabled': False,
'serviceAccountsEnabled': False,
'publicClient': False,
'frontchannelLogout': False,
'protocol': 'openid-connect',
'attributes': {},
'authenticationFlowBindingOverrides': {},
'fullScopeAllowed': False,
'nodeReRegistrationTimeout': 0,
'defaultClientScopes': [
'web-origins',
'roles',
'profile',
'email'],
'optionalClientScopes': [
'address',
'phone',
'offline_access',
'microprofile-jwt']})),
'user', 'user')}
client1_master = Client('client1', 'http://localhost:8080/auth/realms/master/client1',
ClientConfig('client1', 'http://localhost:8080/realms/master/clients-registrations/default/client1',
{'id': '899e2dc1-5fc0-4eaf-bedb-f81a3f9e9313', 'clientId': 'admin-cli',
'name': '${client_admin-cli}', 'surrogateAuthRequired': False, 'enabled': True,
'alwaysDisplayInConsole': False, 'clientAuthenticatorType': 'client-secret',
'redirectUris': [], 'webOrigins': [], 'notBefore': 0, 'bearerOnly': False,
'consentRequired': False, 'standardFlowEnabled': False, 'implicitFlowEnabled': False,
'directAccessGrantsEnabled': False, 'serviceAccountsEnabled': False, 'publicClient': False,
'frontchannelLogout': False, 'protocol': 'openid-connect', 'attributes': {},
'authenticationFlowBindingOverrides': {}, 'fullScopeAllowed': False,
'nodeReRegistrationTimeout': 0,
'defaultClientScopes': ['web-origins', 'roles', 'profile', 'email'],
'optionalClientScopes': ['address', 'phone', 'offline_access', 'microprofile-jwt']}))
client2_master = Client('client2', 'http://localhost:8080/auth/realms/master/client2', None)
client1_other = Client('client1', 'http://localhost:8080/auth/realms/other/client1', ClientConfig('client1', 'http://localhost:8080/realms/other/clients-registrations/default/client1', {'id': '899e2dc1-5fc0-4eaf-bedb-f81a3f9e9313', 'clientId': 'admin-cli', 'name': '${client_admin-cli}', 'surrogateAuthRequired': False, 'enabled': True, 'alwaysDisplayInConsole': False, 'clientAuthenticatorType': 'client-secret', 'redirectUris': [], 'webOrigins': [], 'notBefore': 0, 'bearerOnly': False, 'consentRequired': False, 'standardFlowEnabled': False, 'implicitFlowEnabled': False, 'directAccessGrantsEnabled': False, 'serviceAccountsEnabled': False, 'publicClient': False, 'frontchannelLogout': False, 'protocol': 'openid-connect', 'attributes': {}, 'authenticationFlowBindingOverrides': {}, 'fullScopeAllowed': False, 'nodeReRegistrationTimeout': 0, 'defaultClientScopes': ['web-origins', 'roles', 'profile', 'email'], 'optionalClientScopes': ['address', 'phone', 'offline_access', 'microprofile-jwt']}))
client2_other = Client('client2', 'http://localhost:8080/auth/realms/other/client2', None)
# TODO: test when find vuln
assert scanner.mediator.scan_results.get(WrapperTypes.OPEN_REDIRECT) == {
OpenRedirect(master_realm, client1_master),
OpenRedirect(master_realm, client2_master),
OpenRedirect(other_realm, client1_other),
OpenRedirect(other_realm, client2_other),
# TODO: this is bad, url need conditions
OpenRedirect(master_realm, client1_other),
OpenRedirect(master_realm, client2_other),
OpenRedirect(other_realm, client1_master),
OpenRedirect(other_realm, client2_master),
}
assert scanner.mediator.scan_results.get(WrapperTypes.FORM_POST_XSS) == set()
assert scanner.mediator.scan_results.get(WrapperTypes.REALM_TYPE) == {master_realm, other_realm}
assert scanner.mediator.scan_results.get(WrapperTypes.SECURITY_CONSOLE) == set()
assert scanner.mediator.scan_results.get(WrapperTypes.WELL_KNOWN_TYPE) == {well_known_master, well_known_other}
| 107.864802
| 1,003
| 0.346977
| 1,881
| 46,274
| 8.41361
| 0.119617
| 0.047643
| 0.062303
| 0.058385
| 0.84418
| 0.839062
| 0.839062
| 0.829774
| 0.809807
| 0.809807
| 0
| 0.061129
| 0.585318
| 46,274
| 428
| 1,004
| 108.116822
| 0.763615
| 0.001383
| 0
| 0.730769
| 0
| 0.010256
| 0.274049
| 0.115394
| 0
| 0
| 0
| 0.002336
| 0.020513
| 1
| 0.010256
| false
| 0.007692
| 0.046154
| 0
| 0.084615
| 0.010256
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
2b1a0534af5eb2eb0347e2477948a1e96ae4175c
| 6,528
|
py
|
Python
|
X/air.py
|
PikriArt31/FULL-SPAM3
|
35b36e912f07f6d3280557c5e4e6f1addb386332
|
[
"BSD-3-Clause"
] | null | null | null |
X/air.py
|
PikriArt31/FULL-SPAM3
|
35b36e912f07f6d3280557c5e4e6f1addb386332
|
[
"BSD-3-Clause"
] | null | null | null |
X/air.py
|
PikriArt31/FULL-SPAM3
|
35b36e912f07f6d3280557c5e4e6f1addb386332
|
[
"BSD-3-Clause"
] | null | null | null |
#Compiled By ANKER
#https://github.com/4NK3R
import marshal
exec(marshal.loads(b'\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s\x1a\x00\x00\x00d\x00d\x01l\x00Z\x00e\x01e\x00\xa0\x02d\x02\xa1\x01\x83\x01\x01\x00d\x01S\x00)\x03\xe9\x00\x00\x00\x00Ns\x04\x0b\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00-\x00\x00\x00@\x00\x00\x00s\xdc\x01\x00\x00d\x00d\x01l\x00Z\x00d\x00d\x01l\x01Z\x01d\x00d\x01l\x02Z\x02d\x00d\x01l\x03Z\x03d\x00d\x02l\x04m\x05Z\x05\x01\x00d\x03Z\x06d\x04Z\x07d\x05Z\x08d\x06Z\td\x07Z\nd\x08d\t\x84\x00Z\x0bd\nd\x0b\x84\x00Z\x0cd\x0ce\x06\x9b\x00d\re\x06\x9b\x00d\x0ee\x06\x9b\x00d\x0fe\n\x9b\x00d\x10e\n\x9b\x00d\x11e\t\x9b\x00d\x12e\t\x9b\x00d\x13e\n\x9b\x00d\x14e\n\x9b\x00d\x15e\n\x9b\x00d\x16e\t\x9b\x00d\x17e\t\x9b\x00d\x13e\n\x9b\x00d\x18e\n\x9b\x00d\x15e\n\x9b\x00d\x19e\t\x9b\x00d\x1ae\t\x9b\x00d\x13e\n\x9b\x00d\x1be\n\x9b\x00d\x15e\n\x9b\x00d\x1ce\t\x9b\x00d\x1de\t\x9b\x00d\x1e\x9d-Z\re\x0ce\r\x83\x01\x01\x00e\x0ce\x08\x9b\x00d\x1f\x9d\x02\x83\x01\x01\x00e\x0ee\x06\x9b\x00d e\n\x9b\x00d!\x9d\x04\x83\x01Z\x0fe\x10e\x0ee\x06\x9b\x00d"e\n\x9b\x00d#\x9d\x04\x83\x01\x83\x01Z\x11d$d%d&d\'d(d)d*d+d,d-d.d/d0d1\x9c\rZ\x12e\x02\xa0\x13e\x0fd2d3d4\x9c\x03\xa1\x01Z\x14e\x15e\x11\x83\x01D\x00]zZ\x16e\x03j\x17d5e\x14e\x12d6\x8d\x03Z\x18d7e\x18j\x19k\x06\x90\x01r\xa4e\x1ae\x08\x9b\x00d8e\t\x9b\x00d9e\x08\x9b\x00e\x0f\x9b\x00d:e\x07\x9b\x00d;\x9d\t\x83\x01\x01\x00e\x05d<\x83\x01\x01\x00n*e\x1ae\x06\x9b\x00d=e\t\x9b\x00d>e\x08\x9b\x00e\x0f\x9b\x00e\x06\x9b\x00d?\x9d\x08\x83\x01\x01\x00e\x05d<\x83\x01\x01\x00\x90\x01qVe\x0b\x83\x00\x01\x00d\x01S\x00)@\xe9\x00\x00\x00\x00N)\x01\xda\x05sleepz\x07\x1b[1;31mz\x07\x1b[1;32mz\x07\x1b[1;33mz\x07\x1b[1;36mz\x07\x1b[1;37mc\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x05\x00\x00\x00C\x00\x00\x00s\\\x00\x00\x00t\x00t\x01\x9b\x00d\x01t\x02\x9b\x00d\x02\x9d\x04\x83\x01}\x00|\x00d\x03k\x02r2t\x03\xa0\x04d\x04\xa1\x01\x01\x00t\x03\xa0\x05d\x05\xa1\x01\x01\x00n&|\x00d\x06k\x02rXt\x06t\x02\x9b\x00d\x07\x9d\x02\x83\x01\x01\x00t\x07d\x08\x83\x01\x01\x00t\x08\xa0\t\xa1\x00\x01\x00d\x00S\x00)\tNz\x0eMau Spam Lagi?z\x08[y/n] : \xda\x01yz\x02..z\rpython sms.py\xda\x01nz\nExiting...\xe9\x03\x00\x00\x00)\n\xda\x05input\xda\x01k\xda\x01h\xda\x02os\xda\x05chdir\xda\x06system\xda\x05printr\x02\x00\x00\x00\xda\x03sys\xda\x04exit)\x01Z\x03lag\xa9\x00r\x0f\x00\x00\x00\xda\x00\xda\x04lagi\x12\x00\x00\x00s\x10\x00\x00\x00\x00\x01\x14\x01\x08\x01\n\x01\x0c\x02\x08\x01\x0e\x01\x08\x01r\x11\x00\x00\x00c\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x04\x00\x00\x00C\x00\x00\x00s0\x00\x00\x00|\x00d\x01\x17\x00D\x00]"}\x01t\x00j\x01\xa0\x02|\x01\xa1\x01\x01\x00t\x00j\x01\xa0\x03\xa1\x00\x01\x00t\x04d\x02\x83\x01\x01\x00q\x08d\x00S\x00)\x03N\xda\x01\ng\x11\x11\x11\x11\x11\x11\x81?)\x05r\r\x00\x00\x00\xda\x06stdout\xda\x05write\xda\x05flushr\x02\x00\x00\x00)\x02\xda\x01z\xda\x01xr\x0f\x00\x00\x00r\x0f\x00\x00\x00r\x10\x00\x00\x00\xda\x02wr\x1e\x00\x00\x00s\x08\x00\x00\x00\x00\x01\x0c\x01\x0c\x01\n\x01r\x18\x00\x00\x00z\x04 z\x1a_ _ ____ _\nz$ / \\ (_)_ __| __ ) _ __ | |__ \nz$ / _ \\ | | \'__| _ \\| \'_ \\| \'_ \\ \nz$ / ___ \\| | | | |_) | | | | |_) | \nz$/_/ \\_\\_|_| |____/|_| |_|_.__/ \nu|\x00\x00\x00u\'\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x97\n\'u\x07\x00\x00\x00u\'\xe2\x95\x91 \'z\x08Author z\x02: Z\x05ANKERu\x1a\x00\x00\x00u\' \xe2\x95\x91\n\'z\x08github z\x18https://github.con/4NK3Ru\x07\x00\x00\x00u\'\xe2\x95\x91\n\'z\x08Youtube z\x10ANKER PRODUCTIONu\x15\x00\x00\x00u\' \xe2\x95\x91\n\'u|\x00\x00\x00u\'\xe2\x95\x9a\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x9d\n\'z\x0fEx : 6288817xxxz\x03No z\tTarget : Z\x03Jumz\x06lah : z\x10www.airbnb.co.idZ\x0283\xda\x012zIV4$.airbnb.co.id$N_Kx2ju9iX8$gUBHaO73_UKCj4rDt2rHVNj7zvmZfOYgz38XKc9dzKw=\xda\x011zyMozilla/5.0 (Linux; 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| 0.236025
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0
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|
2b5bdd2227cb10ca74929e695938b0786240c929
| 57
|
py
|
Python
|
v0.9.2/signrpc/__init__.py
|
lncm/lnd-proto
|
8caa6558efe043413560f807ef44b11699901d76
|
[
"MIT"
] | 2
|
2020-02-10T09:46:06.000Z
|
2020-04-09T19:30:30.000Z
|
v0.9.2/signrpc/__init__.py
|
lncm/lnd-proto
|
8caa6558efe043413560f807ef44b11699901d76
|
[
"MIT"
] | 1
|
2020-01-24T18:58:23.000Z
|
2020-01-24T18:58:23.000Z
|
v0.9.2/signrpc/__init__.py
|
lncm/lnd-proto
|
8caa6558efe043413560f807ef44b11699901d76
|
[
"MIT"
] | null | null | null |
from .signer_pb2 import *
from .signer_pb2_grpc import *
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5ac197f1c514ff85c7fd4f08dbf6e1095dcbba79
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|
py
|
Python
|
addons/rigonthefly/TempBoneUtility.py
|
trisadmeslek/V-Sekai-Blender-tools
|
0d8747387c58584b50c69c61ba50a881319114f8
|
[
"MIT"
] | 2
|
2021-12-21T16:38:58.000Z
|
2022-01-08T00:56:35.000Z
|
addons/rigonthefly/TempBoneUtility.py
|
trisadmeslek/V-Sekai-Blender-tools
|
0d8747387c58584b50c69c61ba50a881319114f8
|
[
"MIT"
] | 1
|
2022-01-29T05:46:50.000Z
|
2022-01-29T05:46:50.000Z
|
addons/rigonthefly/TempBoneUtility.py
|
trisadmeslek/V-Sekai-Blender-tools
|
0d8747387c58584b50c69c61ba50a881319114f8
|
[
"MIT"
] | 1
|
2021-11-07T19:41:34.000Z
|
2021-11-07T19:41:34.000Z
|
#########################################
####### Rig On The Fly #######
####### Copyright © 2020 Dypsloom #######
####### https://dypsloom.com/ #######
#########################################
import bpy
from . Utility import StateUtility, Channel
from . DypsloomBake import DypsloomBakeUtils
class TempBoneUtility:
@staticmethod
def TempBoneCopySelectedBones():
obj = bpy.context.object
#force edit mode
StateUtility.SetEditMode()
#list selected bones in edit mode
selectedBonesListE = bpy.context.selected_editable_bones.copy()
selectedBonesListE.sort(key = lambda x:len(x.parent_recursive))
#list selected bones' names
selectedBonesListN = []
for b in selectedBonesListE:
selectedBonesListN.append(b.name)
#duplicate base armature. Duplicate bones are selected from this operation.
bpy.ops.armature.duplicate()
#force pose mode
bpy.ops.object.mode_set(mode='POSE')
#add copy transform constrain to duplicated bones
for bone in bpy.context.selected_pose_bones:
copyTransforms = bone.constraints.new('COPY_TRANSFORMS')
copyTransforms.target = bpy.context.object
copyTransforms.subtarget = bone.name.replace(".rig.001",".rig")
#if object being rigged has animation data
if obj.animation_data:
#BAKE SELECTED BONES
objectActionsDictionary = StateUtility.FindActions() #find relevant action for each selected object
ActionInitialState = StateUtility.ActionInitialState(objectActionsDictionary) #store objects' actions state to know if they were in tweak mode
for obj in objectActionsDictionary:
initialAction = obj.animation_data.action
tracksStateDict, soloTrack, activeActionBlendMode = StateUtility.SoloRestPoseTrack(obj) #add an nla track to solo so that baking is done without other tracks influencing the result
for action in objectActionsDictionary[obj]:
obj.animation_data.action = action #switch obj's current action
frames = list() #list of frames to key
bonePChannelsToBake = dict() #dictionary containing which channels to key on selected pose bones
if not bpy.context.scene.smartFrames:
frameRange = action.frame_range
frames = [*range(int(frameRange.x), int(frameRange.y) + 1, 1)]
rotationQEList = [Channel.quaternionW, Channel.quaternionX, Channel.quaternionY, Channel.quaternionZ, Channel.eulerX, Channel.eulerY, Channel.eulerZ]
scaleXYZList = [Channel.scaleX, Channel.scaleY, Channel.scaleZ]
for boneP in bpy.context.selected_pose_bones:
channelsList = list()
targetBoneP = obj.pose.bones[boneP.name.replace(".rig.001",".rig")]
targetBoneDataPath = targetBoneP.path_from_id()
#looking for quaternion channels
for i in range(4):
fcurve = action.fcurves.find(targetBoneDataPath + ".rotation_quaternion",index=i)
if fcurve:
channelsList.extend(rotationQEList)
StateUtility.GetFramePointFromFCurve(fcurve, frames)
#looking for euler channels
for i in range(3):
fcurve = action.fcurves.find(targetBoneDataPath + ".rotation_euler",index=i)
if fcurve:
channelsList.extend(rotationQEList)
StateUtility.GetFramePointFromFCurve(fcurve, frames)
#looking for scale channels
for i in range(3):
fcurve = action.fcurves.find(targetBoneDataPath + ".scale",index=i)
if fcurve:
channelsList.extend(scaleXYZList)
StateUtility.GetFramePointFromFCurve(fcurve, frames)
bonePChannelsToBake[boneP] = channelsList
DypsloomBakeUtils.DypsloomBake(obj, action, frames, bonePChannelsToBake)
StateUtility.RestoreTracksState(obj, tracksStateDict, soloTrack, activeActionBlendMode) #remove the bakeTrack
obj.animation_data.action = initialAction
StateUtility.RestoreActionState(ActionInitialState, objectActionsDictionary) #return objects' actions to tweak mode if it was their initial state
StateUtility.RemoveConstraintsOfSelectedPoseBones()
return selectedBonesListN
@staticmethod
def SelectedBonesCopyTempBones(selectedBonesListN):
obj = bpy.context.object
#deselect copied bones
bpy.ops.pose.select_all(action='DESELECT')
#select original bone list
for bone in selectedBonesListN:
bpy.context.object.data.bones[bone].select = True
#make selected bones follow duplicated bones with copy transform constraint
for bone in bpy.context.selected_pose_bones:
copyTransforms = bone.constraints.new('COPY_TRANSFORMS')
copyTransforms.target = bpy.context.object
copyTransforms.subtarget = bone.name.replace(".rig",".rig.001")
#if object being rigged has animation data
if obj.animation_data:
#BAKE SELECTED BONES
objectActionsDictionary = StateUtility.FindActions() #find relevant action for each selected object
ActionInitialState = StateUtility.ActionInitialState(objectActionsDictionary) #store objects' actions state to know if they were in tweak mode
for obj in objectActionsDictionary:
initialAction = obj.animation_data.action
tracksStateDict, soloTrack, activeActionBlendMode = StateUtility.SoloRestPoseTrack(obj) #add an nla track to solo so that baking is done without other tracks influencing the result
for action in objectActionsDictionary[obj]:
obj.animation_data.action = action #switch obj's current action
frames = list() #list of frames to key
bonePChannelsToBake = dict() #dictionary containing which channels to key on selected pose bones
if not bpy.context.scene.smartFrames:
frameRange = action.frame_range
frames = [*range(int(frameRange.x), int(frameRange.y) + 1, 1)]
rotationQEList = [Channel.quaternionW, Channel.quaternionX, Channel.quaternionY, Channel.quaternionZ, Channel.eulerX, Channel.eulerY, Channel.eulerZ]
scaleXYZList = [Channel.scaleX, Channel.scaleY, Channel.scaleZ]
for boneP in bpy.context.selected_pose_bones:
channelsList = list()
targetBoneP = obj.pose.bones[boneP.name.replace(".rig",".rig.001")]
targetBoneDataPath = targetBoneP.path_from_id()
#looking for quaternion channels
for i in range(4):
fcurve = action.fcurves.find(targetBoneDataPath + ".rotation_quaternion",index=i)
if fcurve:
channelsList.extend(rotationQEList)
StateUtility.GetFramePointFromFCurve(fcurve, frames)
#looking for euler channels
for i in range(3):
fcurve = action.fcurves.find(targetBoneDataPath + ".rotation_euler",index=i)
if fcurve:
channelsList.extend(rotationQEList)
StateUtility.GetFramePointFromFCurve(fcurve, frames)
#looking for scale channels
for i in range(3):
fcurve = action.fcurves.find(targetBoneDataPath + ".scale",index=i)
if fcurve:
channelsList.extend(scaleXYZList)
StateUtility.GetFramePointFromFCurve(fcurve, frames)
bonePChannelsToBake[boneP] = channelsList
DypsloomBakeUtils.DypsloomBake(obj, action, frames, bonePChannelsToBake)
StateUtility.RestoreTracksState(obj, tracksStateDict, soloTrack, activeActionBlendMode) #remove the bakeTrack
obj.animation_data.action = initialAction
StateUtility.RestoreActionState(ActionInitialState, objectActionsDictionary) #return objects' actions to tweak mode if it was their initial state
StateUtility.RemoveConstraintsOfSelectedPoseBones()
#deselect all to
bpy.ops.pose.select_all(action='DESELECT')
#select bones to remove to remove their keyframes first
for bone in selectedBonesListN:
bpy.context.object.data.bones[bone.replace(".rig",".rig.001")].select = True
if obj.animation_data:
#clear all key frames of selected bones
StateUtility.KeyframeClear()
#remove copied bones
StateUtility.SetEditMode()
armature = bpy.context.object.data
for bone in selectedBonesListN:
armature.edit_bones.remove(armature.edit_bones[bone +".001"])
#force pose mode
bpy.ops.object.mode_set(mode='POSE')
for rigBone in selectedBonesListN:
bpy.context.object.data.bones[rigBone].select = True
return selectedBonesListN
| 50.21393
| 196
| 0.589418
| 885
| 10,093
| 6.680226
| 0.215819
| 0.025372
| 0.024357
| 0.022327
| 0.803958
| 0.799899
| 0.799899
| 0.792287
| 0.779093
| 0.779093
| 0
| 0.004765
| 0.334588
| 10,093
| 200
| 197
| 50.465
| 0.875372
| 0.161795
| 0
| 0.813008
| 0
| 0
| 0.024128
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.01626
| false
| 0
| 0.02439
| 0
| 0.065041
| 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
|
5ad92b37ed22b27ca96ae4df0e571b2b85af92aa
| 176
|
py
|
Python
|
pymorphy/backends/__init__.py
|
artemrizhov/pymorphy
|
03085c7ffa5663841e568017b4de189f07dd6496
|
[
"MIT"
] | 1
|
2017-08-27T19:14:27.000Z
|
2017-08-27T19:14:27.000Z
|
pymorphy/backends/__init__.py
|
artemrizhov/pymorphy
|
03085c7ffa5663841e568017b4de189f07dd6496
|
[
"MIT"
] | null | null | null |
pymorphy/backends/__init__.py
|
artemrizhov/pymorphy
|
03085c7ffa5663841e568017b4de189f07dd6496
|
[
"MIT"
] | null | null | null |
from pymorphy.backends.pickle_source import PickleDataSource
from pymorphy.backends.shelve_source import ShelveDataSource
from pymorphy.backends.mrd_source import MrdDataSource
| 58.666667
| 60
| 0.903409
| 21
| 176
| 7.428571
| 0.52381
| 0.230769
| 0.384615
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 176
| 3
| 61
| 58.666667
| 0.945455
| 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
|
5193687cf952868b01ac8ef6dd4c07e7ceffb4da
| 113
|
py
|
Python
|
fairseq/models/NMTwithSE/__init__.py
|
hamsik1223/fairseq
|
13164c38b0aab4269f8775a2506e2b60f5909114
|
[
"MIT"
] | null | null | null |
fairseq/models/NMTwithSE/__init__.py
|
hamsik1223/fairseq
|
13164c38b0aab4269f8775a2506e2b60f5909114
|
[
"MIT"
] | null | null | null |
fairseq/models/NMTwithSE/__init__.py
|
hamsik1223/fairseq
|
13164c38b0aab4269f8775a2506e2b60f5909114
|
[
"MIT"
] | null | null | null |
from .v2_0_gated_sum_with_context_window import *
from .v2_1_double_MHA_serialize_with_context_window import *
| 56.5
| 61
| 0.876106
| 19
| 113
| 4.526316
| 0.684211
| 0.139535
| 0.395349
| 0.534884
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.038835
| 0.088496
| 113
| 2
| 61
| 56.5
| 0.796117
| 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
|
cfa5d8435e75819ff692138326e0dd5691f7246c
| 115
|
py
|
Python
|
Python/Basics-Sentdex/1. Basics with Sentdex/Tutorial 15 - Packages with Python/mod_dir/examplemod.py
|
yorks-dev/Learning-Software-Developement
|
4733f782705dda04cc790b0e16297241c23b2504
|
[
"MIT"
] | null | null | null |
Python/Basics-Sentdex/1. Basics with Sentdex/Tutorial 15 - Packages with Python/mod_dir/examplemod.py
|
yorks-dev/Learning-Software-Developement
|
4733f782705dda04cc790b0e16297241c23b2504
|
[
"MIT"
] | null | null | null |
Python/Basics-Sentdex/1. Basics with Sentdex/Tutorial 15 - Packages with Python/mod_dir/examplemod.py
|
yorks-dev/Learning-Software-Developement
|
4733f782705dda04cc790b0e16297241c23b2504
|
[
"MIT"
] | null | null | null |
def do_a_thing():
print("I am doing a thing ")
def do_another_thing():
print("I am doing another thing ")
| 19.166667
| 38
| 0.66087
| 20
| 115
| 3.6
| 0.45
| 0.138889
| 0.305556
| 0.361111
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.217391
| 115
| 5
| 39
| 23
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0.382609
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0
| 0.5
| 0.5
| 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
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
321a356a2e33c6d3007a3632d027564f8c46246b
| 3,639
|
py
|
Python
|
arch/lib8051/decode_math.py
|
dwuid/py-8051
|
359c5423f2e617127e1cd917996c9d839df07551
|
[
"MIT",
"Unlicense"
] | null | null | null |
arch/lib8051/decode_math.py
|
dwuid/py-8051
|
359c5423f2e617127e1cd917996c9d839df07551
|
[
"MIT",
"Unlicense"
] | null | null | null |
arch/lib8051/decode_math.py
|
dwuid/py-8051
|
359c5423f2e617127e1cd917996c9d839df07551
|
[
"MIT",
"Unlicense"
] | null | null | null |
from decutils import *
def decode_mul(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("mul", a_AB()),
dests = [pc + 1],
cycles = 4,
length = 1
)
def decode_subb_reg(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("subb", a_A(), a_R(opc & 0x7)),
dests = [pc + 1],
cycles = 1,
length = 1
)
def decode_subb_iram(pc, opc, addr):
return DictProxy(
addr = pc,
disasm = AE("subb", a_A(), a_D(addr)),
dests = [pc + 2],
cycles = 1,
length = 2
)
def decode_subb_ind(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("subb", a_A(), a_RI(opc & 0x1)),
dests = [pc + 1],
cycles = 1,
length = 1
)
def decode_subb_imm(pc, opc, imm):
return DictProxy(
addr = pc,
disasm = AE("subb", a_A(), a_I8(imm)),
dests = [pc + 2],
cycles = 1,
length = 2
)
def decode_inc_iram(pc, opc, addr):
return DictProxy(
addr = pc,
disasm = AE("inc", a_D(addr)),
dests = [pc + 2],
cycles = 2,
length = 2
)
def decode_dec_iram(pc, opc, addr):
return DictProxy(
addr = pc,
disasm = AE("dec", a_D(addr)),
dests = [pc + 2],
cycles = 2,
length = 2
)
def decode_inc_dptr(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("inc", a_DPTR()),
dests = [pc + 1],
cycles = 2,
length = 1
)
def decode_inc_reg(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("inc", a_R(opc&0x7)),
dests = [pc + 1],
cycles = 1,
length = 1
)
def decode_div(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("div", a_AB()),
dests = [pc + 1],
cycles = 4,
length = 1
)
def decode_inc_a(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("inc", a_A()),
dests = [pc + 1],
cycles = 1,
length = 1
)
def decode_inc_ind(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("inc", a_RI(opc&0x1)),
dests = [pc + 1],
cycles = 1,
length = 1
)
def decode_dec_reg(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("dec", a_R(opc&0x7)),
dests = [pc + 1],
cycles = 1,
length = 1
)
def decode_dec_ind(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("dec", a_RI(opc&0x1)),
dests = [pc + 1],
cycles = 1,
length = 1
)
def decode_dec_a(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("dec", a_A()),
dests = [pc + 1],
cycles = 1,
length = 1
)
def decode_add_a_iram(pc, opc, iram_addr, carry=False):
carry_c = "c" if carry else ""
return DictProxy(
addr = pc,
disasm = AE("add%s" % carry_c, a_A(), a_D(iram_addr)),
dests = [pc + 2],
cycles = 1,
length = 2
)
def decode_add_a_reg(pc, opc, carry=False):
carry_c = "c" if carry else ""
return DictProxy(
addr = pc,
disasm = AE("add%s" % carry_c, a_A(), a_R(opc & 0x7)),
dests = [pc + 1],
cycles = 1,
length = 1
)
def decode_add_a_imm(pc, opc, immediate, carry=False):
carry_c = "c" if carry else ""
return DictProxy(
addr = pc,
disasm = AE("add%s" % carry_c, a_A(), a_I8(immediate)),
dests = [pc + 2],
cycles = 1,
length = 2
)
def decode_add_a_ind(pc, opc, carry=False):
carry_c = "c" if carry else ""
return DictProxy(
addr = pc,
disasm = AE("add%s" % carry_c, a_A(), a_RI(opc&0x1)),
dests = [pc + 1],
cycles = 1,
length = 1
)
def decode_cpl_a(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("cpl", a_A()),
dests = [pc + 1],
cycles = 1,
length = 1
)
def decode_da(pc, opc):
return DictProxy(
addr = pc,
disasm = AE("da", a_A()),
dests = [pc + 1],
cycles = 1,
length = 1
)
| 18.286432
| 58
| 0.542732
| 556
| 3,639
| 3.404676
| 0.082734
| 0.099842
| 0.210777
| 0.232964
| 0.920232
| 0.901743
| 0.901743
| 0.901215
| 0.844163
| 0.786054
| 0
| 0.031456
| 0.292388
| 3,639
| 198
| 59
| 18.378788
| 0.703689
| 0
| 0
| 0.630058
| 0
| 0
| 0.02144
| 0
| 0
| 0
| 0.006597
| 0
| 0
| 1
| 0.121387
| false
| 0
| 0.00578
| 0.098266
| 0.248555
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
7a5a7f13e351ed646638674539d5782fe301bd75
| 4,104
|
py
|
Python
|
code/Chapter15_Data_Visualization.py
|
mrsyi/Learn_python
|
1bf4b60a312062dd8f41fa6f4c5c525b99569036
|
[
"MIT"
] | 1
|
2019-02-11T10:08:33.000Z
|
2019-02-11T10:08:33.000Z
|
code/Chapter15_Data_Visualization.py
|
mrsyi/Learn_python
|
1bf4b60a312062dd8f41fa6f4c5c525b99569036
|
[
"MIT"
] | null | null | null |
code/Chapter15_Data_Visualization.py
|
mrsyi/Learn_python
|
1bf4b60a312062dd8f41fa6f4c5c525b99569036
|
[
"MIT"
] | null | null | null |
import matplotlib.pyplot as plt
"""line chart"""
input_value = [1,2,3,4,5]
squares = [1,4,9,16,25]
plt.plot(input_value,squares,linewidth = 5) # arguments: (data of x-axis,data of y-axis,linewidth)
plt.title("Square Numbers", fontsize = 24) #arguments: (name of the chart,fontsize)
plt.xlabel("Value",fontsize = 14) #arguments: (name of the x-axis,fontsize)
plt.ylabel("Square of value", fontsize = 14) #arguments: (name of the y-axis,fontsize)
plt.tick_params(axis = 'both',labelsize = 14) #arguments: (axis = "x/y/both",labelsize = numeber)
plt.show() # show the chart
"""scatter diagram"""
plt.scatter(input_value,squares,s = 100) # arguments: s-->the size of the dots
plt.title("Square Numbers", fontsize = 24) #arguments: (name of the chart,fontsize)
plt.xlabel("Value",fontsize = 14) #arguments: (name of the x-axis,fontsize)
plt.ylabel("Square of value", fontsize = 14) #arguments: (name of the y-axis,fontsize)
plt.tick_params(axis = 'both',labelsize = 14) #arguments: (axis = "x/y/both",labelsize = numeber)
plt.show() # show the chart
"""1000 dots"""
x_values = list(range(1,1001))
y_values = [x**2 for x in x_values]
plt.scatter(x_values,y_values,edgecolor = 'none',c = 'green',s = 2) # edgecolor-->change the outline of the line;
# c-->change the color of the line,the color can be done by names or RGB-->(0,0,0.8)
plt.title("Square Numbers", fontsize = 24) #arguments: (name of the chart,fontsize)
plt.xlabel("Value",fontsize = 14) #arguments: (name of the x-axis,fontsize)
plt.ylabel("Square of value", fontsize = 14) #arguments: (name of the y-axis,fontsize)
plt.tick_params(axis = 'both',labelsize = 14) #arguments: (axis = "x/y/both",labelsize = numeber)
plt.axis([0,1100,0,1100000]) # set the range of the x and y axis-->[Min of x,Max of x,Min of y,Max of y]
plt.show()
"""use colormap"""
x_values = list(range(1,1001))
y_values = [x**2 for x in x_values]
plt.scatter(x_values,y_values,edgecolor = 'none',c = y_values,cmap = plt.cm.Reds,s = 2) # edgecolor-->change the outline of the line;
# c-->change the color of the line,the color can be done by names or RGB-->(0,0,0.8)
# c = y_values,amap = plt.cm.Reds-->make the trend of varing more visualizable
plt.title("Square Numbers", fontsize = 24) #arguments: (name of the chart,fontsize)
plt.xlabel("Value",fontsize = 14) #arguments: (name of the x-axis,fontsize)
plt.ylabel("Square of value", fontsize = 14) #arguments: (name of the y-axis,fontsize)
plt.tick_params(axis = 'both',labelsize = 14) #arguments: (axis = "x/y/both",labelsize = numeber)
plt.axis([0,1100,0,1100000]) # set the range of the x and y axis-->[Min of x,Max of x,Min of y,Max of y]
plt.show()
"""save the chart as image"""
x_values = list(range(1,1001))
y_values = [x**2 for x in x_values]
plt.scatter(x_values,y_values,edgecolor = 'none',c = y_values,cmap = plt.cm.Reds,s = 2) # edgecolor-->change the outline of the line;
# c-->change the color of the line,the color can be done by names or RGB-->(0,0,0.8)
# c = y_values,amap = plt.cm.Reds-->make the trend of varing more visualizable
plt.title("Square Numbers", fontsize = 24) #arguments: (name of the chart,fontsize)
plt.xlabel("Value",fontsize = 14) #arguments: (name of the x-axis,fontsize)
plt.ylabel("Square of value", fontsize = 14) #arguments: (name of the y-axis,fontsize)
plt.tick_params(axis = 'both',labelsize = 14) #arguments: (axis = "x/y/both",labelsize = numeber)
plt.axis([0,1100,0,1100000]) # set the range of the x and y axis-->[Min of x,Max of x,Min of y,Max of y]
# plt.savefig('1.png',bbox_inches = 'tight') # save the chart as images; bbox_inches = 'tight'-->cut the excessive blank spaces
| 62.181818
| 153
| 0.619396
| 637
| 4,104
| 3.945055
| 0.156986
| 0.049741
| 0.089534
| 0.107441
| 0.864704
| 0.864704
| 0.864704
| 0.864704
| 0.864704
| 0.864704
| 0
| 0.042465
| 0.236842
| 4,104
| 65
| 154
| 63.138462
| 0.759898
| 0.449805
| 0
| 0.853659
| 0
| 0
| 0.097595
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.02439
| 0
| 0.02439
| 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
|
7a7b8ce2db2cdd4bee00b9a404f80cbd5774891c
| 509,306
|
py
|
Python
|
seeds.py
|
jon4hz/conways_game_of_life_python
|
8b9f2360f287a7a9ee1af4907d5aa913f82286a7
|
[
"MIT"
] | 1
|
2021-03-23T21:01:48.000Z
|
2021-03-23T21:01:48.000Z
|
seeds.py
|
jon4hz/conways_game_of_life_python
|
8b9f2360f287a7a9ee1af4907d5aa913f82286a7
|
[
"MIT"
] | null | null | null |
seeds.py
|
jon4hz/conways_game_of_life_python
|
8b9f2360f287a7a9ee1af4907d5aa913f82286a7
|
[
"MIT"
] | null | null | null |
seeds = {
'glider': {
'seed': [
[1,0,0],
[0,1,1],
[1,1,0]
],
'co': [1,1]
},
'beacon': {
'seed': [
[1,1,0,0],
[1,1,0,0],
[0,0,1,1],
[0,0,1,1]
],
'co': [1,1]
},
'glider_gun': {
'seed': [
[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0],
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],
'co': [200,0]
}
}
| 1,286.126263
| 1,501
| 0.498086
| 253,596
| 509,306
| 1.000308
| 0.000055
| 1.948138
| 2.898839
| 3.83694
| 0.999649
| 0.999633
| 0.999633
| 0.999598
| 0.999562
| 0.999543
| 0
| 0.498766
| 0.001765
| 509,306
| 396
| 1,502
| 1,286.126263
| 0.000193
| 0
| 0
| 0.268354
| 0
| 0
| 0.000192
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
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| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 14
|
7aa360dec0d4f2c64cfe2a81c4cbe5c657da23cc
| 3,067
|
py
|
Python
|
terrascript/nsxt/d.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 507
|
2017-07-26T02:58:38.000Z
|
2022-01-21T12:35:13.000Z
|
terrascript/nsxt/d.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 135
|
2017-07-20T12:01:59.000Z
|
2021-10-04T22:25:40.000Z
|
terrascript/nsxt/d.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 81
|
2018-02-20T17:55:28.000Z
|
2022-01-31T07:08:40.000Z
|
# terrascript/nsxt/d.py
# Automatically generated by tools/makecode.py ()
import warnings
warnings.warn(
"using the 'legacy layout' is deprecated", DeprecationWarning, stacklevel=2
)
import terrascript
class nsxt_certificate(terrascript.Data):
pass
class nsxt_edge_cluster(terrascript.Data):
pass
class nsxt_firewall_section(terrascript.Data):
pass
class nsxt_ip_pool(terrascript.Data):
pass
class nsxt_logical_tier0_router(terrascript.Data):
pass
class nsxt_logical_tier1_router(terrascript.Data):
pass
class nsxt_mac_pool(terrascript.Data):
pass
class nsxt_management_cluster(terrascript.Data):
pass
class nsxt_ns_group(terrascript.Data):
pass
class nsxt_ns_service(terrascript.Data):
pass
class nsxt_policy_bfd_profile(terrascript.Data):
pass
class nsxt_policy_certificate(terrascript.Data):
pass
class nsxt_policy_context_profile(terrascript.Data):
pass
class nsxt_policy_dhcp_server(terrascript.Data):
pass
class nsxt_policy_edge_cluster(terrascript.Data):
pass
class nsxt_policy_edge_node(terrascript.Data):
pass
class nsxt_policy_gateway_policy(terrascript.Data):
pass
class nsxt_policy_gateway_qos_profile(terrascript.Data):
pass
class nsxt_policy_group(terrascript.Data):
pass
class nsxt_policy_intrusion_service_profile(terrascript.Data):
pass
class nsxt_policy_ip_block(terrascript.Data):
pass
class nsxt_policy_ip_discovery_profile(terrascript.Data):
pass
class nsxt_policy_ip_pool(terrascript.Data):
pass
class nsxt_policy_ipv6_dad_profile(terrascript.Data):
pass
class nsxt_policy_ipv6_ndra_profile(terrascript.Data):
pass
class nsxt_policy_lb_app_profile(terrascript.Data):
pass
class nsxt_policy_lb_client_ssl_profile(terrascript.Data):
pass
class nsxt_policy_lb_monitor(terrascript.Data):
pass
class nsxt_policy_lb_persistence_profile(terrascript.Data):
pass
class nsxt_policy_lb_server_ssl_profile(terrascript.Data):
pass
class nsxt_policy_mac_discovery_profile(terrascript.Data):
pass
class nsxt_policy_qos_profile(terrascript.Data):
pass
class nsxt_policy_realization_info(terrascript.Data):
pass
class nsxt_policy_security_policy(terrascript.Data):
pass
class nsxt_policy_segment_realization(terrascript.Data):
pass
class nsxt_policy_segment_security_profile(terrascript.Data):
pass
class nsxt_policy_service(terrascript.Data):
pass
class nsxt_policy_site(terrascript.Data):
pass
class nsxt_policy_spoofguard_profile(terrascript.Data):
pass
class nsxt_policy_tier0_gateway(terrascript.Data):
pass
class nsxt_policy_tier1_gateway(terrascript.Data):
pass
class nsxt_policy_transport_zone(terrascript.Data):
pass
class nsxt_policy_vm(terrascript.Data):
pass
class nsxt_policy_vni_pool(terrascript.Data):
pass
class nsxt_provider_info(terrascript.Data):
pass
class nsxt_switching_profile(terrascript.Data):
pass
class nsxt_transport_zone(terrascript.Data):
pass
| 15.489899
| 79
| 0.785458
| 397
| 3,067
| 5.722922
| 0.183879
| 0.18618
| 0.393046
| 0.485915
| 0.832746
| 0.800616
| 0.559419
| 0.198944
| 0
| 0
| 0
| 0.002676
| 0.147049
| 3,067
| 197
| 80
| 15.568528
| 0.865826
| 0.022498
| 0
| 0.474747
| 1
| 0
| 0.013022
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.474747
| 0.020202
| 0
| 0.494949
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
8f35d340f521fe8399eec46bd18b76403df1e1df
| 124
|
py
|
Python
|
examples/wagsley/wagsley/schema/types/mutation.py
|
Blogsley/blogsley
|
0ca17397af5d53c2fac3affb5eacec2f8d941d37
|
[
"MIT"
] | null | null | null |
examples/wagsley/wagsley/schema/types/mutation.py
|
Blogsley/blogsley
|
0ca17397af5d53c2fac3affb5eacec2f8d941d37
|
[
"MIT"
] | null | null | null |
examples/wagsley/wagsley/schema/types/mutation.py
|
Blogsley/blogsley
|
0ca17397af5d53c2fac3affb5eacec2f8d941d37
|
[
"MIT"
] | null | null | null |
from accounts.mutation import *
#from blogsley.django.posts.mutation import *
#from blogsley.django.media.mutation import *
| 31
| 45
| 0.806452
| 16
| 124
| 6.25
| 0.5
| 0.42
| 0.36
| 0.52
| 0.64
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.096774
| 124
| 3
| 46
| 41.333333
| 0.892857
| 0.709677
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
8f53b33d39c665dfe9347c4a289f1652b0c8360d
| 63
|
py
|
Python
|
tests/emdrp/emdrp/utils/test_typesh5.py
|
erjel/emdrp
|
0b04a164989dd2f8ab8d1defc38353a6c0c11c8c
|
[
"MIT"
] | 4
|
2020-01-14T14:41:14.000Z
|
2022-01-08T11:12:27.000Z
|
tests/emdrp/emdrp/utils/test_typesh5.py
|
erjel/emdrp
|
0b04a164989dd2f8ab8d1defc38353a6c0c11c8c
|
[
"MIT"
] | 1
|
2021-09-23T19:59:08.000Z
|
2021-09-23T19:59:08.000Z
|
tests/emdrp/emdrp/utils/test_typesh5.py
|
erjel/emdrp
|
0b04a164989dd2f8ab8d1defc38353a6c0c11c8c
|
[
"MIT"
] | 1
|
2021-03-02T15:25:48.000Z
|
2021-03-02T15:25:48.000Z
|
from emdrp.utils.typesh5 import *
def test_imports():
pass
| 15.75
| 33
| 0.730159
| 9
| 63
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019231
| 0.174603
| 63
| 4
| 34
| 15.75
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0.333333
| 0.666667
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
| 0
| 0
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| 0
| 0
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| null | 0
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| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 7
|
8f59ea3b81eabef902014d06a642974bb749703c
| 14,288
|
py
|
Python
|
tolliver/DXFRenderer.py
|
CastIrony/tolliver
|
0cfda26b5c046d79dff6160d8ffa9ce09ed50e75
|
[
"MIT"
] | 1
|
2022-03-20T15:17:12.000Z
|
2022-03-20T15:17:12.000Z
|
tolliver/DXFRenderer.py
|
CastIrony/tolliver
|
0cfda26b5c046d79dff6160d8ffa9ce09ed50e75
|
[
"MIT"
] | null | null | null |
tolliver/DXFRenderer.py
|
CastIrony/tolliver
|
0cfda26b5c046d79dff6160d8ffa9ce09ed50e75
|
[
"MIT"
] | null | null | null |
import ezdxf
class DXFRenderer:
def __init__(self, filename):
self.dxf = ezdxf.new('R12')
self.filename = filename
def __enter__(self):
return self
def __exit__(self, type, value, tb):
self.dxf.saveas(self.filename)
def draw_circle(self, center, diameter):
self.dxf.modelspace().add_circle(center, radius=diameter * 0.5)
def draw_line(self, point1, point2):
self.dxf.modelspace().add_line(point1, point2)
def draw_rectangle(self, center, size):
center_x, center_y = center
width, height = size
left = center_x - 0.5 * width
right = center_x + 0.5 * width
top = center_y + 0.5 * height
bottom = center_y - 0.5 * height
self.dxf.modelspace().add_line((left, top), (right, top))
self.dxf.modelspace().add_line((right, top), (right, bottom))
self.dxf.modelspace().add_line((right, bottom), (left, bottom))
self.dxf.modelspace().add_line((left, bottom), (left, top))
def draw_rectangle_dogbone_sides(self, center, size, drill):
center_x, center_y = center
width, height = size
left = center_x - 0.5 * width
right = center_x + 0.5 * width
top = center_y + 0.5 * height
bottom = center_y - 0.5 * height
radius = drill * 0.5
self.dxf.modelspace().add_line((left, top), (right, top))
self.dxf.modelspace().add_arc((right, top - radius), radius, -90, 90)
self.dxf.modelspace().add_line((right, top - drill), (right, bottom + drill))
self.dxf.modelspace().add_arc((right, bottom + radius), radius, -90, 90)
self.dxf.modelspace().add_line((right, bottom), (left, bottom))
self.dxf.modelspace().add_arc((left, bottom + radius), radius, 90, -90)
self.dxf.modelspace().add_line((left, bottom + drill), (left, top - drill))
self.dxf.modelspace().add_arc((left, top - radius), radius, 90, -90)
def draw_rectangle_dogbone_ends(self, center, size, drill):
center_x, center_y = center
width, height = size
left = center_x - 0.5 * width
right = center_x + 0.5 * width
top = center_y + 0.5 * height
bottom = center_y - 0.5 * height
radius = drill * 0.5
self.dxf.modelspace().add_arc((left + radius, top), radius, 0, 180)
self.dxf.modelspace().add_line((left + drill, top), (right - drill, top))
self.dxf.modelspace().add_arc((right - radius, top), radius, 0, 180)
self.dxf.modelspace().add_line((right, top), (right, bottom))
self.dxf.modelspace().add_arc((right - radius, bottom), radius, 180, 0)
self.dxf.modelspace().add_line((right - drill, bottom), (left + drill, bottom))
self.dxf.modelspace().add_arc((left + radius, bottom), radius, 180, 0)
self.dxf.modelspace().add_line((left, bottom), (left, top))
def draw_rectangle_dogbone_corners(self, center, size, drill):
center_x, center_y = center
width, height = size
left = center_x - 0.5 * width
right = center_x + 0.5 * width
top = center_y + 0.5 * height
bottom = center_y - 0.5 * height
radius = drill * 0.5
offset = radius * pow(2.0, 0.5)
self.dxf.modelspace().add_arc((left + 0.5 * offset, top - 0.5 * offset), radius, 45, 225)
self.dxf.modelspace().add_line((left + offset, top), (right - offset, top))
self.dxf.modelspace().add_arc((right - 0.5 * offset, top - 0.5 * offset), radius, 315, 135)
self.dxf.modelspace().add_line((right, top - offset), (right, bottom + offset))
self.dxf.modelspace().add_arc((right - 0.5 * offset, bottom + 0.5 * offset), radius, 225, 45)
self.dxf.modelspace().add_line((right - offset, bottom), (left + offset, bottom))
self.dxf.modelspace().add_arc((left + 0.5 * offset, bottom + 0.5 * offset), radius, 135, 315)
self.dxf.modelspace().add_line((left, bottom + offset), (left, top - offset))
def draw_triangle(self, center, diameter):
center_x, center_y = center
radius = diameter * 0.5
sqrt3 = pow(3, 0.5)
point1 = (center_x, center_y + 2 * radius)
point2 = (center_x + sqrt3 * radius, center_y - radius)
point3 = (center_x - sqrt3 * radius, center_y - radius)
self.dxf.modelspace().add_line(point1, point2)
self.dxf.modelspace().add_line(point2, point3)
self.dxf.modelspace().add_line(point3, point1)
def draw_hexagon(self, center, diameter):
center_x, center_y = center
radius = diameter * 0.5
sqrt3 = pow(3, 0.5)
point1 = (center_x - radius / sqrt3, center_y + radius)
point2 = (center_x + radius / sqrt3, center_y + radius)
point3 = (center_x + 2 * radius / sqrt3, center_y)
point4 = (center_x + radius / sqrt3, center_y - radius)
point5 = (center_x - radius / sqrt3, center_y - radius)
point6 = (center_x - 2 * radius / sqrt3, center_y)
self.dxf.modelspace().add_line(point1, point2)
self.dxf.modelspace().add_line(point2, point3)
self.dxf.modelspace().add_line(point3, point4)
self.dxf.modelspace().add_line(point4, point5)
self.dxf.modelspace().add_line(point5, point6)
self.dxf.modelspace().add_line(point6, point1)
def draw_hexagon_dogbone_sides(self, center, diameter, drill):
center_x, center_y = center
radius = diameter * 0.5
drill_radius = drill * 0.5
sqrt3 = pow(3, 0.5)
point1a = (center_x - radius / sqrt3 - 0.5 * drill_radius * sqrt3, center_y + radius - 1.5 * drill_radius)
point1 = (center_x - radius / sqrt3, center_y + radius)
point2 = (center_x + radius / sqrt3, center_y + radius)
point2b = (center_x + radius / sqrt3 + 0.5 * drill_radius * sqrt3, center_y + radius - 1.5 * drill_radius)
point3a = (center_x + 2.0 * radius / sqrt3 - 0.5 * drill_radius * sqrt3, center_y + 1.5 * drill_radius)
point3 = (center_x + 2.0 * radius / sqrt3, center_y)
point4 = (center_x + radius / sqrt3, center_y - radius)
point4b = (center_x + radius / sqrt3 - drill_radius * sqrt3, center_y - radius)
point5a = (center_x - radius / sqrt3 + drill_radius * sqrt3, center_y - radius)
point5 = (center_x - radius / sqrt3, center_y - radius)
point6 = (center_x - 2.0 * radius / sqrt3, center_y)
point6b = (center_x - 2.0 * radius / sqrt3 + 0.5 * drill_radius * sqrt3, center_y + 1.5 * drill_radius)
center1 = (center_x - radius / sqrt3, center_y + radius - drill_radius)
center2 = (center_x + radius / sqrt3, center_y + radius - drill_radius)
center3 = (center_x + 2.0 * radius / sqrt3 - 0.5 * drill_radius * sqrt3, center_y + 0.5 * drill_radius)
center4 = (center_x + radius / sqrt3 - 0.5 * drill_radius * sqrt3, center_y - radius + 0.5 * drill_radius)
center5 = (center_x - radius / sqrt3 + 0.5 * drill_radius * sqrt3, center_y - radius + 0.5 * drill_radius)
center6 = (center_x - 2.0 * radius / sqrt3 + 0.5 * drill_radius * sqrt3, center_y + 0.5 * drill_radius)
self.dxf.modelspace().add_arc(center1, drill_radius, 90, 210)
self.dxf.modelspace().add_line(point1, point2)
self.dxf.modelspace().add_arc(center2, drill_radius, -30, 90)
self.dxf.modelspace().add_line(point2b, point3a)
self.dxf.modelspace().add_arc(center3, drill_radius, -30, 90)
self.dxf.modelspace().add_line(point3, point4)
self.dxf.modelspace().add_arc(center4, drill_radius, 210, 330)
self.dxf.modelspace().add_line(point4b, point5a)
self.dxf.modelspace().add_arc(center5, drill_radius, 210, 330)
self.dxf.modelspace().add_line(point5, point6)
self.dxf.modelspace().add_arc(center6, drill_radius, 90, 210)
self.dxf.modelspace().add_line(point6b, point1a)
def draw_hexagon_dogbone_ends(self, center, diameter, drill):
center_x, center_y = center
radius = diameter * 0.5
drill_radius = drill * 0.5
sqrt3 = pow(3, 0.5)
point1 = (center_x - radius / sqrt3, center_y + radius)
point1b = (center_x - radius / sqrt3 + drill_radius * sqrt3, center_y + radius)
point2a = (center_x + radius / sqrt3 - drill_radius * sqrt3, center_y + radius)
point2 = (center_x + radius / sqrt3, center_y + radius)
point3 = (center_x + 2.0 * radius / sqrt3, center_y)
point3b = (center_x + 2.0 * radius / sqrt3 - 0.5 * drill_radius * sqrt3, center_y - 1.5 * drill_radius)
point4a = (center_x + radius / sqrt3 + 0.5 * drill_radius * sqrt3, center_y - radius + 1.5 * drill_radius)
point4 = (center_x + radius / sqrt3, center_y - radius)
point5 = (center_x - radius / sqrt3, center_y - radius)
point5b = (center_x - radius / sqrt3 - 0.5 * drill_radius * sqrt3, center_y - radius + 1.5 * drill_radius)
point6a = (center_x - 2.0 * radius / sqrt3 + 0.5 * drill_radius * sqrt3, center_y - 1.5 * drill_radius)
point6 = (center_x - 2.0 * radius / sqrt3, center_y)
center1 = (center_x - radius / sqrt3 + 0.5 * drill_radius * sqrt3, center_y + radius - 0.5 * drill_radius)
center2 = (center_x + radius / sqrt3 - 0.5 * drill_radius * sqrt3, center_y + radius - 0.5 * drill_radius)
center3 = (center_x + 2.0 * radius / sqrt3 - 0.5 * drill_radius * sqrt3, center_y - 0.5 * drill_radius)
center4 = (center_x + radius / sqrt3, center_y - radius + drill_radius)
center5 = (center_x - radius / sqrt3, center_y - radius + drill_radius)
center6 = (center_x - 2.0 * radius / sqrt3 + 0.5 * drill_radius * sqrt3, center_y - 0.5 * drill_radius)
self.dxf.modelspace().add_arc(center1, drill_radius, 30, 150)
self.dxf.modelspace().add_line(point1b, point2a)
self.dxf.modelspace().add_arc(center2, drill_radius, 30, 150)
self.dxf.modelspace().add_line(point2, point3)
self.dxf.modelspace().add_arc(center3, drill_radius, -90, 30)
self.dxf.modelspace().add_line(point3b, point4a)
self.dxf.modelspace().add_arc(center4, drill_radius, -90, 30)
self.dxf.modelspace().add_line(point4, point5)
self.dxf.modelspace().add_arc(center5, drill_radius, 150, 270)
self.dxf.modelspace().add_line(point5b, point6a)
self.dxf.modelspace().add_arc(center6, drill_radius, 150, 270)
self.dxf.modelspace().add_line(point6, point1)
def draw_hexagon_dogbone_corners(self, center, diameter, drill):
center_x, center_y = center
radius = diameter * 0.5
drill_radius = drill * 0.5
sqrt3 = pow(3, 0.5)
point1a = (center_x - radius / sqrt3 - 0.5 * drill_radius, center_y + radius - 0.5 * drill_radius * sqrt3)
point1b = (center_x - radius / sqrt3 + drill_radius, center_y + radius)
point2a = (center_x + radius / sqrt3 - drill_radius, center_y + radius)
point2b = (center_x + radius / sqrt3 + 0.5 * drill_radius, center_y + radius - 0.5 * drill_radius * sqrt3)
point3a = (center_x + 2.0 * radius / sqrt3 - 0.5 * drill_radius, center_y + 0.5 * drill_radius * sqrt3)
point3b = (center_x + 2.0 * radius / sqrt3 - 0.5 * drill_radius, center_y - 0.5 * drill_radius * sqrt3)
point4a = (center_x + radius / sqrt3 + 0.5 * drill_radius, center_y - radius + 0.5 * drill_radius * sqrt3)
point4b = (center_x + radius / sqrt3 - drill_radius, center_y - radius)
point5a = (center_x - radius / sqrt3 + drill_radius, center_y - radius)
point5b = (center_x - radius / sqrt3 - 0.5 * drill_radius, center_y - radius + 0.5 * drill_radius * sqrt3)
point6a = (center_x - 2.0 * radius / sqrt3 + 0.5 * drill_radius, center_y - 0.5 * drill_radius * sqrt3)
point6b = (center_x - 2.0 * radius / sqrt3 + 0.5 * drill_radius, center_y + 0.5 * drill_radius * sqrt3)
center1 = (center_x - radius / sqrt3 + 0.5 * drill_radius, center_y + radius - 0.5 * drill_radius * sqrt3)
center2 = (center_x + radius / sqrt3 - 0.5 * drill_radius, center_y + radius - 0.5 * drill_radius * sqrt3)
center3 = (center_x + 2.0 * radius / sqrt3 - drill_radius, center_y)
center4 = (center_x + radius / sqrt3 - 0.5 * drill_radius, center_y - radius + 0.5 * drill_radius * sqrt3)
center5 = (center_x - radius / sqrt3 + 0.5 * drill_radius, center_y - radius + 0.5 * drill_radius * sqrt3)
center6 = (center_x - 2.0 * radius / sqrt3 + drill_radius, center_y)
self.dxf.modelspace().add_arc(center1, drill_radius, 60, 180)
self.dxf.modelspace().add_line(point1b, point2a)
self.dxf.modelspace().add_arc(center2, drill_radius, 0, 120)
self.dxf.modelspace().add_line(point2b, point3a)
self.dxf.modelspace().add_arc(center3, drill_radius, -60, 60)
self.dxf.modelspace().add_line(point3b, point4a)
self.dxf.modelspace().add_arc(center4, drill_radius, 240, 360)
self.dxf.modelspace().add_line(point4b, point5a)
self.dxf.modelspace().add_arc(center5, drill_radius, 180, 300)
self.dxf.modelspace().add_line(point5b, point6a)
self.dxf.modelspace().add_arc(center6, drill_radius, 120, 240)
self.dxf.modelspace().add_line(point6b, point1a)
| 59.041322
| 121
| 0.585246
| 1,851
| 14,288
| 4.322528
| 0.049703
| 0.126484
| 0.159355
| 0.187477
| 0.924634
| 0.91826
| 0.900762
| 0.849394
| 0.828896
| 0.761405
| 0
| 0.061895
| 0.291013
| 14,288
| 241
| 122
| 59.286307
| 0.727937
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| 0
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| 0.00021
| 0
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| 0
| 1
| 0.068627
| false
| 0
| 0.004902
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| 0.083333
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| null | 0
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| 1
| 1
| 1
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| null | 0
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| 0
| 0
|
0
| 7
|
56af71a834d6152823934afac1e29ba8cbbee985
| 24,952
|
py
|
Python
|
registry/testcases/functional_testcases/test_service.py
|
vinthedark/snet-marketplace-service
|
66ed9d093b00f09d3e28ef4d86c4e4c125037d06
|
[
"MIT"
] | null | null | null |
registry/testcases/functional_testcases/test_service.py
|
vinthedark/snet-marketplace-service
|
66ed9d093b00f09d3e28ef4d86c4e4c125037d06
|
[
"MIT"
] | null | null | null |
registry/testcases/functional_testcases/test_service.py
|
vinthedark/snet-marketplace-service
|
66ed9d093b00f09d3e28ef4d86c4e4c125037d06
|
[
"MIT"
] | null | null | null |
import json
from datetime import datetime as dt
from unittest import TestCase
from common.constant import StatusCode
from registry.application.handlers.service_handlers import verify_service_id, save_service, create_service, \
get_services_for_organization, get_service_for_service_uuid, submit_service_for_approval, \
save_transaction_hash_for_published_service
from registry.constants import ServiceAvailabilityStatus, ServiceStatus
from registry.infrastructure.models import Organization, Service, ServiceState, ServiceGroup, \
ServiceReviewHistory
from registry.infrastructure.repositories.organization_repository import OrganizationPublisherRepository
from registry.infrastructure.repositories.service_repository import ServiceRepository
org_repo = OrganizationPublisherRepository()
service_repo = ServiceRepository()
class TestService(TestCase):
def setUp(self):
pass
def test_verify_service_id(self):
self.tearDown()
org_repo.add_item(
Organization(
name="test_org",
org_id="test_org_id",
uuid="test_org_uuid",
org_type="organization",
description="that is the dummy org for testcases",
short_description="that is the short description",
url="https://dummy.url",
contacts=[],
assets={},
duns_no=12345678,
origin="PUBLISHER_DAPP",
groups=[],
addresses=[],
metadata_ipfs_uri="#dummyhashdummyhash"
)
)
service_repo.add_item(
Service(
org_uuid="test_org_uuid",
uuid="test_service_uuid",
display_name="test_display_name",
service_id="test_service_id",
metadata_ipfs_hash="Qasdfghjklqwertyuiopzxcvbnm",
proto={},
short_description="test_short_description",
description="test_description",
project_url="https://dummy.io",
assets={},
rating={},
ranking=1,
contributors=[],
created_on=dt.utcnow(),
updated_on=dt.utcnow()
)
)
event = {
"requestContext": {
"authorizer": {
"claims": {
"email": "dummy_user1@dummy.io"
}
}
},
"httpMethod": "GET",
"pathParameters": {"org_uuid": "test_org_uuid"},
"queryStringParameters": {"service_id": "test_service_id"}
}
response = verify_service_id(event=event, context=None)
assert (response["statusCode"] == 200)
response_body = json.loads(response["body"])
assert (response_body["status"] == "success")
assert (response_body["data"] == ServiceAvailabilityStatus.UNAVAILABLE.value)
event = {
"requestContext": {
"authorizer": {
"claims": {
"email": "dummy_user1@dummy.io"
}
}
},
"httpMethod": "GET",
"pathParameters": {"org_uuid": "test_org_uuid"},
"queryStringParameters": {"service_id": "new_test_service_id"}
}
response = verify_service_id(event=event, context=None)
assert (response["statusCode"] == 200)
response_body = json.loads(response["body"])
assert (response_body["status"] == "success")
assert (response_body["data"] == ServiceAvailabilityStatus.AVAILABLE.value)
def test_create_service(self):
self.tearDown()
org_repo.add_item(
Organization(
name="test_org",
org_id="test_org_id",
uuid="test_org_uuid",
org_type="organization",
description="that is the dummy org for testcases",
short_description="that is the short description",
url="https://dummy.url",
contacts=[],
assets={},
duns_no=12345678,
origin="PUBLISHER_DAPP",
groups=[],
addresses=[],
metadata_ipfs_uri="#dummyhashdummyhash"
)
)
event = {
"requestContext": {
"authorizer": {
"claims": {
"email": "dummy_user1@dummy.io"
}
}
},
"httpMethod": "POST",
"pathParameters": {"org_uuid": "test_org_uuid"},
"body": json.dumps({"display_name": "test_display_name"})
}
response = create_service(event=event, context=None)
assert (response["statusCode"] == 200)
response_body = json.loads(response["body"])
assert (response_body["status"] == "success")
assert (response_body["data"]["org_uuid"] == "test_org_uuid")
def test_get_services_for_organization(self):
self.tearDown()
org_repo.add_item(
Organization(
name="test_org",
org_id="test_org_id",
uuid="test_org_uuid",
org_type="organization",
description="that is the dummy org for testcases",
short_description="that is the short description",
url="https://dummy.url",
contacts=[],
assets={},
duns_no=12345678,
origin="PUBLISHER_DAPP",
groups=[],
addresses=[],
metadata_ipfs_uri="#dummyhashdummyhash"
)
)
service_repo.add_item(
Service(
org_uuid="test_org_uuid",
uuid="test_service_uuid",
display_name="test_display_name",
service_id="test_service_id",
metadata_ipfs_hash="Qasdfghjklqwertyuiopzxcvbnm",
short_description="test_short_description",
description="test_description",
project_url="https://dummy.io",
ranking=1,
created_on=dt.utcnow()
)
)
service_repo.add_item(
ServiceState(
row_id=1000,
org_uuid="test_org_uuid",
service_uuid="test_service_uuid",
state="DRAFT",
transaction_hash=None,
created_by="dummy_user",
updated_by="dummy_user",
created_on=dt.utcnow()
)
)
service_repo.add_item(
ServiceGroup(
row_id="1000",
org_uuid="test_org_uuid",
service_uuid="test_service_uuid",
group_id="test_group_id",
pricing={},
endpoints=["https://dummydaemonendpoint.io"],
daemon_address=["0xq2w3e4rr5t6y7u8i9"],
free_calls=10,
free_call_signer_address="",
created_on=dt.utcnow()
)
)
event = {
"requestContext": {
"authorizer": {
"claims": {
"email": "dummy_user1@dummy.io"
}
}
},
"httpMethod": "GET",
"pathParameters": {"org_uuid": "test_org_uuid"},
"body": json.dumps({
"q": "display",
"limit": 10,
"offset": 0,
"s": "all",
"sort_by": "display_name",
"order_by": "desc",
"filters": []
})
}
response = get_services_for_organization(event=event, context=None)
assert (response["statusCode"] == 200)
response_body = json.loads(response["body"])
assert (response_body["status"] == "success")
assert (response_body["data"]["total_count"] == 1)
assert (response_body["data"]["offset"] == 0)
assert (response_body["data"]["limit"] == 10)
assert (len(response_body["data"]["result"]) == 1)
def test_save_service(self):
self.tearDown()
org_repo.add_item(
Organization(
name="test_org",
org_id="test_org_id",
uuid="test_org_uuid",
org_type="organization",
description="that is the dummy org for testcases",
short_description="that is the short description",
url="https://dummy.url",
contacts=[],
assets={},
duns_no=12345678,
origin="PUBLISHER_DAPP",
groups=[],
addresses=[],
metadata_ipfs_uri="#dummyhashdummyhash"
)
)
service_repo.add_item(
Service(
org_uuid="test_org_uuid",
uuid="test_service_uuid",
display_name="test_display_name",
service_id="test_service_id",
metadata_ipfs_hash="Qasdfghjklqwertyuiopzxcvbnm",
short_description="test_short_description",
description="test_description",
project_url="https://dummy.io",
ranking=1,
created_on=dt.utcnow()
)
)
service_repo.add_item(
ServiceState(
row_id=1000,
org_uuid="test_org_uuid",
service_uuid="test_service_uuid",
state=ServiceStatus.DRAFT.value,
created_by="dummy_user",
updated_by="dummy_user",
created_on=dt.utcnow()
)
)
service_repo.add_item(
ServiceGroup(
row_id="1000",
org_uuid="test_org_uuid",
service_uuid="test_service_uuid",
group_id="test_group_id",
endpoints=["https://dummydaemonendpoint.io"],
daemon_address=["0xq2w3e4rr5t6y7u8i9"],
free_calls=10,
free_call_signer_address="0xq2s3e4r5t6y7u8i9o0",
created_on=dt.utcnow()
)
)
event = {
"path": "/org/test_org_uuid/service",
"requestContext": {
"authorizer": {
"claims": {
"email": "dummy_user1@dummy.io"
}
}
},
"httpMethod": "PUT",
"pathParameters": {"org_uuid": "test_org_uuid", "service_uuid": "test_service_uuid"},
"body": json.dumps({
"description": "test description updated 1",
"groups": [
{
"group_name": "defaultGroup",
"group_id": "l/hp6f1RXFPANeLWFZYwTB93Xi42S8NpZHfnceS6eUw=",
"free_calls": 10,
"free_call_signer_address": "0x7DF35C98f41F3Af0df1dc4c7F7D4C19a71Dd059F",
"pricing": [
{
"default": True,
"price_model": "fixed_price",
"price_in_cogs": 1
}
],
"endpoints": []
}
]
})
}
response = save_service(event=event, context=None)
assert (response["statusCode"] == 200)
response_body = json.loads(response["body"])
assert (response_body["status"] == "success")
assert (response_body["data"]["service_uuid"] == "test_service_uuid")
assert (response_body["data"]["service_state"]["state"] == ServiceStatus.DRAFT.value)
event = {
"path": "/org/test_org_uuid/service",
"requestContext": {
"authorizer": {
"claims": {
"email": "dummy_user1@dummy.io"
}
}
},
"httpMethod": "PUT",
"pathParameters": {"org_uuid": "test_org_uuid", "service_uuid": "test_service_uuid"},
"body": json.dumps({
"description": "test description updated 2",
"groups": [
{
"group_name": "defaultGroup",
"group_id": "l/hp6f1RXFPANeLWFZYwTB93Xi42S8NpZHfnceS6eUw=",
"free_calls": 20,
"free_call_signer_address": "0x7DF35C98f41F3Af0df1dc4c7F7D4C19a71Dd059F",
"pricing": [
{
"default": True,
"price_model": "fixed_price",
"price_in_cogs": 2
}
],
"endpoints": []
}
]
})
}
response = save_service(event=event, context=None)
assert (response["statusCode"] == 200)
response_body = json.loads(response["body"])
assert (response_body["status"] == "success")
assert (response_body["data"]["service_uuid"] == "test_service_uuid")
assert (response_body["data"]["service_state"]["state"] == ServiceStatus.DRAFT.value)
def test_get_service_for_service_uuid(self):
self.tearDown()
org_repo.add_item(
Organization(
name="test_org",
org_id="test_org_id",
uuid="test_org_uuid",
org_type="organization",
description="that is the dummy org for testcases",
short_description="that is the short description",
url="https://dummy.url",
contacts=[],
assets={},
duns_no=12345678,
origin="PUBLISHER_DAPP",
groups=[],
addresses=[],
metadata_ipfs_uri="#dummyhashdummyhash"
)
)
service_repo.add_item(
Service(
org_uuid="test_org_uuid",
uuid="test_service_uuid",
display_name="test_display_name",
service_id="test_service_id",
metadata_ipfs_hash="Qasdfghjklqwertyuiopzxcvbnm",
short_description="test_short_description",
description="test_description",
project_url="https://dummy.io",
ranking=1,
created_on=dt.utcnow()
)
)
service_repo.add_item(
ServiceState(
row_id=1000,
org_uuid="test_org_uuid",
service_uuid="test_service_uuid",
state=ServiceStatus.DRAFT.value,
created_by="dummy_user",
updated_by="dummy_user",
created_on=dt.utcnow()
)
)
event = {
"path": "/org/test_org_uuid/service",
"requestContext": {
"authorizer": {
"claims": {
"email": "dummy_user1@dummy.io"
}
}
},
"httpMethod": "GET",
"pathParameters": {"org_uuid": "test_org_uuid", "service_uuid": "test_service_uuid"}
}
response = get_service_for_service_uuid(event=event, context=None)
assert (response["statusCode"] == 200)
response_body = json.loads(response["body"])
assert (response_body["status"] == "success")
assert (response_body["data"]["org_uuid"] == "test_org_uuid")
assert (response_body["data"]["service_uuid"] == "test_service_uuid")
assert (response_body["data"]["service_state"]["state"] == ServiceStatus.DRAFT.value)
# @patch("registry.application.services.service_publisher_service.ServicePublisherService.publish_to_ipfs")
# def test_get_service_metadata_ipfs_hash(self, mock_ipfs):
# mock_ipfs.return_value = "QmeoVWV99BJoa9czuxg6AiSyFiyVNNFpcaSMYTQUft785u"
# self.tearDown()
# org_repo.add_item(
# Organization(
# name="test_org",
# org_id="test_org_id",
# uuid="test_org_uuid",
# org_type="organization",
# description="that is the dummy org for testcases",
# short_description="that is the short description",
# url="https://dummy.url",
# contacts=[],
# assets={},
# duns_no=12345678,
# origin="PUBLISHER_DAPP",
# groups=[],
# addresses=[],
# metadata_ipfs_hash="#dummyhashdummyhash"
# )
# )
# service_repo.add_item(
# Service(
# org_uuid="test_org_uuid",
# uuid="test_service_uuid",
# display_name="test_display_name",
# service_id="test_service_id",
# metadata_ipfs_hash="Qasdfghjklqwertyuiopzxcvbnm",
# short_description="test_short_description",
# description="test_long_description",
# project_url="https://test_project_url.com",
# proto={"encoding": "proto", "service_type": "grpc", "model_ipfs_hash": "test_model_ipfs_hash"},
# ranking=1,
# assets={},
# created_on=dt.utcnow()
# )
# )
# service_repo.add_item(
# ServiceState(
# row_id=1000,
# org_uuid="test_org_uuid",
# service_uuid="test_service_uuid",
# state=ServiceStatus.APPROVED.value,
# created_by="dummy_user",
# updated_by="dummy_user",
# created_on=dt.utcnow()
# )
# )
# event = {
# "path": "/org/test_org_uuid/service/test_service_uuid/ipfs_publish",
# "requestContext": {
# "authorizer": {
# "claims": {
# "email": "dummy_user1@dummy.io"
# }
# }
# },
# "httpMethod": "POST",
# "pathParameters": {"org_uuid": "test_org_uuid", "service_uuid": "test_service_uuid"}
# }
# response = publish_service_metadata_to_ipfs(event=event, context=None)
# assert (response["statusCode"] == 200)
# response_body = json.loads(response["body"])
# assert (response_body["status"] == "success")
# assert (response_body["data"]["metadata_ipfs_hash"] == "QmeoVWV99BJoa9czuxg6AiSyFiyVNNFpcaSMYTQUft785u")
def test_submit_service_for_approval(self):
self.tearDown()
org_repo.add_item(
Organization(
name="test_org",
org_id="test_org_id",
uuid="test_org_uuid",
org_type="organization",
description="that is the dummy org for testcases",
short_description="that is the short description",
url="https://dummy.url",
contacts=[],
assets={},
duns_no=12345678,
origin="PUBLISHER_DAPP",
groups=[],
addresses=[],
metadata_ipfs_uri="#dummyhashdummyhash"
)
)
service_repo.add_item(
Service(
org_uuid="test_org_uuid",
uuid="test_service_uuid",
display_name="test_display_name",
service_id="test_service_id",
metadata_ipfs_hash="Qasdfghjklqwertyuiopzxcvbnm",
short_description="test_short_description",
description="test_description",
project_url="https://dummy.io",
ranking=1,
created_on=dt.utcnow()
)
)
service_repo.add_item(
ServiceState(
row_id=1000,
org_uuid="test_org_uuid",
service_uuid="test_service_uuid",
state=ServiceStatus.DRAFT.value,
created_by="dummy_user",
updated_by="dummy_user",
created_on=dt.utcnow()
)
)
service_repo.add_item(
ServiceGroup(
row_id="1000",
org_uuid="test_org_uuid",
service_uuid="test_service_uuid",
group_id="test_group_id",
endpoints=["https://dummydaemonendpoint.io"],
daemon_address=["0xq2w3e4rr5t6y7u8i9"],
free_calls=10,
free_call_signer_address="0xq2s3e4r5t6y7u8i9o0",
created_on=dt.utcnow()
)
)
event = {
"path": "/org/test_org_uuid/service",
"requestContext": {
"authorizer": {
"claims": {
"email": "dummy_user1@dummy.io"
}
}
},
"httpMethod": "PUT",
"pathParameters": {"org_uuid": "test_org_uuid", "service_uuid": "test_service_uuid"},
"body": json.dumps({"description": "test description updated"})
}
response = submit_service_for_approval(event=event, context=None)
assert (response["statusCode"] == 200)
response_body = json.loads(response["body"])
assert (response_body["status"] == "success")
assert (response_body["data"]["service_uuid"] == "test_service_uuid")
assert (response_body["data"]["service_state"]["state"] == ServiceStatus.APPROVAL_PENDING.value)
def test_save_transaction_hash_for_published_service(self):
self.tearDown()
org_repo.add_item(
Organization(
name="test_org",
org_id="test_org_id",
uuid="test_org_uuid",
org_type="organization",
description="that is the dummy org for testcases",
short_description="that is the short description",
url="https://dummy.url",
contacts=[],
assets={},
duns_no=12345678,
origin="PUBLISHER_DAPP",
groups=[],
addresses=[],
metadata_ipfs_uri="#dummyhashdummyhash"
)
)
service_repo.add_item(
Service(
org_uuid="test_org_uuid",
uuid="test_service_uuid",
display_name="test_display_name",
service_id="test_service_id",
metadata_ipfs_hash="Qasdfghjklqwertyuiopzxcvbnm",
short_description="test_short_description",
description="test_description",
project_url="https://dummy.io",
ranking=1,
created_on=dt.utcnow()
)
)
service_repo.add_item(
ServiceState(
row_id=1000,
org_uuid="test_org_uuid",
service_uuid="test_service_uuid",
state=ServiceStatus.APPROVED.value,
created_by="dummy_user",
updated_by="dummy_user",
created_on=dt.utcnow()
)
)
event = {
"path": "/org/test_org_uuid/service/test_service_uuid/transaction",
"requestContext": {
"authorizer": {
"claims": {
"email": "dummy_user1@dummy.io"
}
}
},
"httpMethod": "POST",
"pathParameters": {"org_uuid": "test_org_uuid", "service_uuid": "test_service_uuid"},
"body": json.dumps({"transaction_hash": "0xtest_trxn_hash"})
}
response = save_transaction_hash_for_published_service(event=event, context=None)
assert (response["statusCode"] == 200)
response_body = json.loads(response["body"])
assert (response_body["status"] == "success")
assert (response_body["data"] == StatusCode.OK)
def tearDown(self):
org_repo.session.query(Organization).delete()
org_repo.session.query(Service).delete()
org_repo.session.query(ServiceGroup).delete()
org_repo.session.query(ServiceState).delete()
org_repo.session.query(ServiceReviewHistory).delete()
org_repo.session.commit()
| 39.109718
| 114
| 0.502044
| 2,087
| 24,952
| 5.678007
| 0.088165
| 0.04135
| 0.038987
| 0.04557
| 0.846582
| 0.829283
| 0.820844
| 0.820675
| 0.820675
| 0.818481
| 0
| 0.019037
| 0.387384
| 24,952
| 637
| 115
| 39.171115
| 0.756182
| 0.101274
| 0
| 0.709677
| 0
| 0
| 0.230308
| 0.032026
| 0
| 0
| 0.003757
| 0
| 0.062724
| 1
| 0.016129
| false
| 0.001792
| 0.016129
| 0
| 0.03405
| 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
|
56c5cb8b95f540ff5e432703c09e5e17cceee3db
| 187
|
py
|
Python
|
aio_py_github/core/utils/parser.py
|
panhaoyu/aio_py_github
|
689d21f11def75cbf12fb344a0bfb8822e65916f
|
[
"MIT"
] | null | null | null |
aio_py_github/core/utils/parser.py
|
panhaoyu/aio_py_github
|
689d21f11def75cbf12fb344a0bfb8822e65916f
|
[
"MIT"
] | null | null | null |
aio_py_github/core/utils/parser.py
|
panhaoyu/aio_py_github
|
689d21f11def75cbf12fb344a0bfb8822e65916f
|
[
"MIT"
] | null | null | null |
import datetime as _datetime
def default_time():
return _datetime.datetime.fromtimestamp(1)
def time(string):
return _datetime.datetime.strptime(string, '%Y-%m-%dT%H:%M:%SZ')
| 18.7
| 68
| 0.721925
| 26
| 187
| 5.038462
| 0.615385
| 0.21374
| 0.335878
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006173
| 0.13369
| 187
| 9
| 69
| 20.777778
| 0.802469
| 0
| 0
| 0
| 0
| 0
| 0.096257
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.2
| 0.4
| 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
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
7102fbaee19f4084e9f83a81d33cc1b5396ea28f
| 14,327
|
py
|
Python
|
utils/user_agent.py
|
alesanmed/house-scrapper
|
9b99b8143b66c192a7c1d16c0a731b861fbc23f1
|
[
"Unlicense"
] | null | null | null |
utils/user_agent.py
|
alesanmed/house-scrapper
|
9b99b8143b66c192a7c1d16c0a731b861fbc23f1
|
[
"Unlicense"
] | null | null | null |
utils/user_agent.py
|
alesanmed/house-scrapper
|
9b99b8143b66c192a7c1d16c0a731b861fbc23f1
|
[
"Unlicense"
] | null | null | null |
# encoding: utf-8
import random
agents_list = ["Mozilla/4.0 (compatible; MSIE 7.0; America Online Browser 1.1; Windows NT 5.1; (R1 1.5); .NET CLR 2.0.50727; InfoPath.1)",
"Mozilla/4.0 (compatible; MSIE 7.0; America Online Browser 1.1; rev1.5; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)",
"Mozilla/4.0 (compatible; MSIE 7.0; America Online Browser 1.1; rev1.5; Windows NT 5.1; .NET CLR 1.1.4322)",
"Mozilla/4.0 (compatible; MSIE 7.0; America Online Browser 1.1; rev1.5; Windows NT 5.1; .NET CLR 1.0.3705; .NET CLR 1.1.4322; Media Center PC 4.0; InfoPath.1; .NET CLR 2.0.50727; Media Center PC 3.0; InfoPath.2)",
"Mozilla/4.0 (compatible; MSIE 7.0; America Online Browser 1.1; rev1.2; Windows NT 5.1; SV1; .NET CLR 1.1.4322)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows NT 5.1; SV1; HbTools 4.7.0)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows NT 5.1; SV1; FunWebProducts; .NET CLR 1.1.4322; InfoPath.1; HbTools 4.8.0)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows NT 5.1; SV1; FunWebProducts; .NET CLR 1.0.3705; .NET CLR 1.1.4322; Media Center PC 3.1)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows NT 5.1; SV1; .NET CLR 1.1.4322; HbTools 4.7.1)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows NT 5.1; SV1; .NET CLR 1.1.4322)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows NT 5.1; SV1; .NET CLR 1.0.3705; .NET CLR 1.1.4322; Media Center PC 3.1)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows NT 5.1; SV1; .NET CLR 1.0.3705; .NET CLR 1.1.4322)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows NT 5.1; SV1)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows NT 5.1; FunWebProducts; (R1 1.5); HbTools 4.7.7)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows NT 5.1; FunWebProducts)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows NT 5.1)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows NT 5.0)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; Windows 98)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1; SV1; FunWebProducts; .NET CLR 1.1.4322)",
"Mozilla/4.0 (compatible; MSIE 6.0; America Online Browser 1.1; rev1.5; Windows NT 5.1; SV1; .NET CLR 1.1.4322; InfoPath.1)",
"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 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.116 Safari/537.36",
"Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10",
"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",
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7107943cfbe15cd4f05d63ddee628bcd5e57778b
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py
|
Python
|
Inviscid_Burgers_eqn.py
|
som1197/1D-inviscid-burgers-eqaution-
|
a3522c4099813adbb67b502f73c43aef0c5ea5fa
|
[
"MIT"
] | null | null | null |
Inviscid_Burgers_eqn.py
|
som1197/1D-inviscid-burgers-eqaution-
|
a3522c4099813adbb67b502f73c43aef0c5ea5fa
|
[
"MIT"
] | null | null | null |
Inviscid_Burgers_eqn.py
|
som1197/1D-inviscid-burgers-eqaution-
|
a3522c4099813adbb67b502f73c43aef0c5ea5fa
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 5 22:43:03 2020
@author: Saumya Dholakia
"""
#PART 1
#Input parameters
import numpy as np
L=1
c = 0.5
n=1
tb= L/(np.pi)
tend = tb/2
dx= 0.025
umax = 1
x = np.arange(0,L+dx,dx)
nx = np.size(x)
#The Maccormick algorithm
class maccormick():
def solve(self,x,uinitial,c,umax,tend):
import numpy as np
dx = x[1]-x[0]
dt = (c*dx)/umax
nx = np.size(x)
uold = np.zeros(nx)
ucorr = np.zeros(nx)
upred = np.zeros(nx)
t = np.arange(0,tend,dt)
uold = np.copy(uinitial)
for j in t:
for i in range(1,nx-1):
upred[i] =uold[i]-(dt/(2*dx))*((uold[i+1]**2)-(uold[i]**2))
ucorr[i] = 0.5*(uold[i]+upred[i]-((dt/(2*dx))*((upred[i]**2)-(upred[i-1]**2))))
#Boundary conditions
upred[0] =uold[0]-(dt/(2*dx))*((uold[1]**2)-(uold[0]**2))
upred[nx-1] = upred[0]
ucorr[0] = 0.5*(uold[0]+upred[0]-((dt/(2*dx))*((upred[0]**2)-(upred[nx-2]**2))))
ucorr[nx-1] = ucorr[0]
for i in range(nx):
uold[i]=ucorr[i]
return ucorr
#The Godunov algorithm
class godunov():
def solve(self,x,uinitial,c,umax,tend):
import numpy as np
dx = x[1]-x[0]
dt = (c*dx)/umax
nx = np.size(x)
uold = np.zeros(nx)
unew = np.zeros(nx)
t = np.arange(0,tend,dt)
uold = np.copy(uinitial)
for j in t:
for i in range(1,nx-1):
s = (uold[i] + uold[i+1])/2
if uold[i] >= uold[i+1]:
if s > 0:
Fright = (uold[i]**2)/2
else:
Fright = (uold[i+1]**2)/2
elif uold[i] < uold[i+1]:
if uold[i] > 0:
Fright = (uold[i]**2)/2
elif uold[i+1] < 0:
Fright = (uold[i+1]**2)/2
elif uold[i] <= 0 <= uold[i+1]:
Fright = 0
if uold[i-1] >= uold[i]:
if s > 0:
Fleft = (uold[i-1]**2)/2
else:
Fleft = (uold[i]**2)/2
elif uold[i-1] < uold[i]:
if uold[i-1] > 0:
Fleft = (uold[i-1]**2)/2
elif uold[i] < 0:
Fleft = (uold[i]**2)/2
elif uold[i-1] <= 0 <= uold[i]:
Fleft = 0
#Boundary conditions
if uold[0] >= uold[1]:
if s > 0:
Fright0 = (uold[0]**2)/2
else:
Fright0 = (uold[1]**2)/2
elif uold[0] < uold[1]:
if uold[0] > 0:
Fright0 = (uold[0]**2)/2
elif uold[1] < 0:
Fright0 = (uold[1]**2)/2
elif uold[0] <= 0 <= uold[1]:
Fright0 = 0
if uold[nx-2] >= uold[0]:
if s > 0:
Fleft0 = (uold[nx-2]**2)/2
else:
Fleft0 = (uold[0]**2)/2
elif uold[nx-2] < uold[0]:
if uold[nx-2] > 0:
Fleft0 = (uold[nx-2]**2)/2
elif uold[0] < 0:
Fleft0 = (uold[0]**2)/2
elif uold[nx-2] <= 0 <= uold[0]:
Fleft0 = 0
unew[i] =uold[i]-((Fright-Fleft)*(dt/dx))
unew[0] =uold[0]-((Fright0-Fleft0)*(dt/dx))
unew[nx-1] = unew[0]
for i in range(nx):
uold[i]=unew[i]
return unew
#The Roe algorithm
class roe():
def solve(self,x,uinitial,c,umax,tend):
import numpy as np
dx = x[1]-x[0]
dt = c*dx/umax
nx = np.size(x)
uold = np.zeros(nx)
unew = np.zeros(nx)
t = np.arange(0,tend,dt)
uold = np.copy(uinitial)
for j in t:
for i in range(1,nx-1):
Fleft = ((uold[i]**2) + (uold[i-1]**2))/4 - ((1/4)*np.abs(uold[i]+uold[i-1])*(uold[i]-uold[i-1]))
Fright = ((uold[i]**2) + (uold[i+1]**2))/4 - ((1/4)*np.abs(uold[i]+uold[i+1])*(uold[i+1]-uold[i]))
unew[i] =uold[i]-(Fright-Fleft)*(dt/dx)
#Boundary conditions
Fleft0 = ((uold[0]**2) + (uold[nx-2]**2))/4 - ((1/4)*np.abs(uold[0]+uold[nx-2])*(uold[0]-uold[nx-2]))
Fright0 = ((uold[0]**2) + (uold[1]**2))/4 - ((1/4)*np.abs(uold[0]+uold[1])*(uold[1]-uold[0]))
unew[0] =uold[0]-(Fright0-Fleft0)*(dt/dx)
unew[nx-1] = unew[0]
for i in range(nx):
uold[i]=unew[i]
return unew
#Initial condition and Exact solution for the sine function
uinitial = (1 + np.sin(2.*np.pi*x))/2
#PART 1A
from scipy.optimize import brentq
nx=np.size(x)
uexact=np.zeros(nx)
def bisectu(u,x,tend):
zeta=x-u*tend
return u-(1+np.sin(2*np.pi*zeta))/2
for i in range(nx):
uexact[i]=brentq(bisectu,0.,1.,args=(x[i],tend),rtol=1.e-10)
#Solvers
solver1 = maccormick()
solver2 = godunov()
solver3 = roe()
u_maccormick_sine = solver1.solve(x,uinitial,c,umax,tend)
u_godunov_sine = solver2.solve(x,uinitial,c,umax,tend)
u_roe_sine = solver3.solve(x,uinitial,c,umax,tend)
import matplotlib.pyplot as plt
f, ax = plt.subplots(1,1,figsize=(8,5))
ax.plot(x,uinitial,label='Initial condition',color='black',)
ax.plot(x,uexact,label='Exact solution',color='black', linestyle='--')
ax.plot(x,u_maccormick_sine,label='Maccormack',color='red')
ax.plot(x,u_godunov_sine,label='Godunov',color='blue')
ax.plot(x,u_roe_sine,label='Roe',color='orange')
ax.set_xlabel('$x$',size=20)
ax.set_ylabel('$u(x,t)$',size=20)
ax.grid()
ax.legend(fontsize=16)
plt.savefig('Q1a.png',bbox_inches='tight')
#PART 1B
tend = tb
from scipy.optimize import brentq
nx=np.size(x)
uexact=np.zeros(nx)
def bisectu(u,x,tend):
zeta=x-u*tend
return u-(1+np.sin(2*np.pi*zeta))/2
for i in range(nx):
uexact[i]=brentq(bisectu,0.,1.,args=(x[i],tend),rtol=1.e-10)
#Solvers
solver1 = maccormick()
solver2 = godunov()
solver3 = roe()
u_maccormick_sine = solver1.solve(x,uinitial,c,umax,tend)
u_godunov_sine = solver2.solve(x,uinitial,c,umax,tend)
u_roe_sine = solver3.solve(x,uinitial,c,umax,tend)
import matplotlib.pyplot as plt
f, ax = plt.subplots(1,1,figsize=(8,5))
ax.plot(x,uinitial,label='Initial condition',color='black',)
ax.plot(x,uexact,label='Exact solution',color='black', linestyle='--')
ax.plot(x,u_maccormick_sine,label='Maccormack',color='red')
ax.plot(x,u_godunov_sine,label='Godunov',color='blue')
ax.plot(x,u_roe_sine,label='Roe',color='orange')
ax.set_xlabel('$x$',size=20)
ax.set_ylabel('$u(x,t)$',size=20)
ax.grid()
ax.legend(fontsize=16)
plt.savefig('Q1b.png',bbox_inches='tight')
#PART 1C
tend = 2*tb
#from scipy.optimize import brentq
#nx=np.size(x)
#uexact=np.zeros(nx)
#def bisectu(u,x,tend):
# zeta=x-u*tend
# return u-(1+np.sin(2*np.pi*zeta))/2
#for i in range(nx):
# uexact[i]=brentq(bisectu,0.,1.,args=(x[i],tend),rtol=1.e-10)
#Solvers
solver1 = maccormick()
solver2 = godunov()
solver3 = roe()
u_maccormick_sine = solver1.solve(x,uinitial,c,umax,tend)
u_godunov_sine = solver2.solve(x,uinitial,c,umax,tend)
u_roe_sine = solver3.solve(x,uinitial,c,umax,tend)
import matplotlib.pyplot as plt
f, ax = plt.subplots(1,1,figsize=(8,5))
ax.plot(x,uinitial,label='Initial condition',color='black',)
#ax.plot(x,uexact,label='Exact solution',color='black', linestyle='--')
ax.plot(x,u_maccormick_sine,label='Maccormack',color='red')
ax.plot(x,u_godunov_sine,label='Godunov',color='blue')
ax.plot(x,u_roe_sine,label='Roe',color='orange')
ax.set_xlabel('$x$',size=20)
ax.set_ylabel('$u(x,t)$',size=20)
ax.grid()
ax.legend(fontsize=16)
plt.savefig('Q1c.png',bbox_inches='tight')
#PART2
#PART 2A
tend = tb/2
from scipy.optimize import brentq
nx=np.size(x)
uexact=np.zeros(nx)
def bisectu(u,x,tend):
zeta=x-u*tend
return u-(1+np.sin(2*np.pi*zeta))/2
for i in range(nx):
uexact[i]=brentq(bisectu,0.,1.,args=(x[i],tend),rtol=1.e-10)
#Solvers
solver1 = maccormick()
solver2 = godunov()
solver3 = roe()
u_maccormick_sine = solver1.solve(x,uinitial,c,umax,tend)
u_godunov_sine = solver2.solve(x,uinitial,c,umax,tend)
u_roe_sine = solver3.solve(x,uinitial,c,umax,tend)
import matplotlib.pyplot as plt
f, ax = plt.subplots(1,1,figsize=(8,5))
ax.plot(x,u_maccormick_sine - uexact,label='Maccormack',color='red')
ax.plot(x,u_godunov_sine - uexact,label='Godunov',color='blue')
ax.plot(x,u_roe_sine - uexact,label='Roe',color='orange')
ax.set_xlabel('$x$',size=20)
ax.set_ylabel('$\epsilon = u-u_{exact}$',size=20)
ax.grid()
ax.legend(fontsize=16)
plt.savefig('Q2a.png',bbox_inches='tight')
#PART 2B
tend = tb
from scipy.optimize import brentq
nx=np.size(x)
uexact=np.zeros(nx)
def bisectu(u,x,tend):
zeta=x-u*tend
return u-(1+np.sin(2*np.pi*zeta))/2
for i in range(nx):
uexact[i]=brentq(bisectu,0.,1.,args=(x[i],tend),rtol=1.e-10)
#Solvers
solver1 = maccormick()
solver2 = godunov()
solver3 = roe()
u_maccormick_sine = solver1.solve(x,uinitial,c,umax,tend)
u_godunov_sine = solver2.solve(x,uinitial,c,umax,tend)
u_roe_sine = solver3.solve(x,uinitial,c,umax,tend)
import matplotlib.pyplot as plt
f, ax = plt.subplots(1,1,figsize=(8,5))
ax.plot(x,u_maccormick_sine - uexact,label='Maccormack',color='red')
ax.plot(x,u_godunov_sine - uexact,label='Godunov',color='blue')
ax.plot(x,u_roe_sine - uexact,label='Roe',color='orange')
ax.set_xlabel('$x$',size=20)
ax.set_ylabel('$\epsilon = u-u_{exact}$',size=20)
ax.grid()
ax.legend(fontsize=16)
plt.savefig('Q2b.png',bbox_inches='tight')
#PART 3A
tend = tb/2
c = 0.9
from scipy.optimize import brentq
nx=np.size(x)
uexact=np.zeros(nx)
def bisectu(u,x,tend):
zeta=x-u*tend
return u-(1+np.sin(2*np.pi*zeta))/2
for i in range(nx):
uexact[i]=brentq(bisectu,0.,1.,args=(x[i],tend),rtol=1.e-10)
#Solvers
solver1 = maccormick()
solver2 = godunov()
solver3 = roe()
u_maccormick_sine = solver1.solve(x,uinitial,c,umax,tend)
u_godunov_sine = solver2.solve(x,uinitial,c,umax,tend)
u_roe_sine = solver3.solve(x,uinitial,c,umax,tend)
import matplotlib.pyplot as plt
f, ax = plt.subplots(1,1,figsize=(8,5))
ax.plot(x,u_maccormick_sine - uexact,label='Maccormack',color='red')
ax.plot(x,u_godunov_sine - uexact,label='Godunov',color='blue')
ax.plot(x,u_roe_sine - uexact,label='Roe',color='orange')
ax.set_xlabel('$x$',size=20)
ax.set_ylabel('$\epsilon = u-u_{exact}$',size=20)
ax.grid()
ax.legend(fontsize=16)
plt.savefig('Q3a.png',bbox_inches='tight')
#PART 3B
tend = tb
c = 0.9
from scipy.optimize import brentq
nx=np.size(x)
uexact=np.zeros(nx)
def bisectu(u,x,tend):
zeta=x-u*tend
return u-(1+np.sin(2*np.pi*zeta))/2
for i in range(nx):
uexact[i]=brentq(bisectu,0.,1.,args=(x[i],tend),rtol=1.e-10)
#Solvers
solver1 = maccormick()
solver2 = godunov()
solver3 = roe()
u_maccormick_sine = solver1.solve(x,uinitial,c,umax,tend)
u_godunov_sine = solver2.solve(x,uinitial,c,umax,tend)
u_roe_sine = solver3.solve(x,uinitial,c,umax,tend)
import matplotlib.pyplot as plt
f, ax = plt.subplots(1,1,figsize=(8,5))
ax.plot(x,u_maccormick_sine - uexact,label='Maccormack',color='red')
ax.plot(x,u_godunov_sine - uexact,label='Godunov',color='blue')
ax.plot(x,u_roe_sine - uexact,label='Roe',color='orange')
ax.set_xlabel('$x$',size=20)
ax.set_ylabel('$\epsilon = u-u_{exact}$',size=20)
ax.grid()
ax.legend(fontsize=16)
plt.savefig('Q3b.png',bbox_inches='tight')
#PART 4A
dx= 0.0125
c = 0.5
tend = tb/2
from scipy.optimize import brentq
nx=np.size(x)
uexact=np.zeros(nx)
def bisectu(u,x,tend):
zeta=x-u*tend
return u-(1+np.sin(2*np.pi*zeta))/2
for i in range(nx):
uexact[i]=brentq(bisectu,0.,1.,args=(x[i],tend),rtol=1.e-10)
#Solvers
solver1 = maccormick()
solver2 = godunov()
solver3 = roe()
u_maccormick_sine = solver1.solve(x,uinitial,c,umax,tend)
u_godunov_sine = solver2.solve(x,uinitial,c,umax,tend)
u_roe_sine = solver3.solve(x,uinitial,c,umax,tend)
import matplotlib.pyplot as plt
f, ax = plt.subplots(1,1,figsize=(8,5))
ax.plot(x,u_maccormick_sine - uexact,label='Maccormack',color='red')
ax.plot(x,u_godunov_sine - uexact,label='Godunov',color='blue')
ax.plot(x,u_roe_sine - uexact,label='Roe',color='orange')
ax.set_xlabel('$x$',size=20)
ax.set_ylabel('$\epsilon = u-u_{exact}$',size=20)
ax.grid()
ax.legend(fontsize=16)
plt.savefig('Q4a.png',bbox_inches='tight')
#PART 4B
dx= 0.0125
c = 0.5
tend = tb
from scipy.optimize import brentq
nx=np.size(x)
uexact=np.zeros(nx)
def bisectu(u,x,tend):
zeta=x-u*tend
return u-(1+np.sin(2*np.pi*zeta))/2
for i in range(nx):
uexact[i]=brentq(bisectu,0.,1.,args=(x[i],tend),rtol=1.e-10)
#Solvers
solver1 = maccormick()
solver2 = godunov()
solver3 = roe()
u_maccormick_sine = solver1.solve(x,uinitial,c,umax,tend)
u_godunov_sine = solver2.solve(x,uinitial,c,umax,tend)
u_roe_sine = solver3.solve(x,uinitial,c,umax,tend)
import matplotlib.pyplot as plt
f, ax = plt.subplots(1,1,figsize=(8,5))
ax.plot(x,u_maccormick_sine - uexact,label='Maccormack',color='red')
ax.plot(x,u_godunov_sine - uexact,label='Godunov',color='blue')
ax.plot(x,u_roe_sine - uexact,label='Roe',color='orange')
ax.set_xlabel('$x$',size=20)
ax.set_ylabel('$\epsilon = u-u_{exact}$',size=20)
ax.grid()
ax.legend(fontsize=16)
plt.savefig('Q4b.png',bbox_inches='tight')
#L2 Norm
import numpy as np
ndx = 7
Ldx = np.arange(1,ndx + 1)
dxstart = 0.1
dx = np.zeros(ndx)
dxinv = np.zeros(ndx)
dxsq = np.zeros(ndx)
eps1 = np.zeros(np.size(Ldx))
eps2 = np.zeros(np.size(Ldx))
eps3 = np.zeros(np.size(Ldx))
for kk in Ldx:
dx[kk-1] = dxstart/(2**(kk-1))
dxinv[kk-1] = 1/dx[kk-1]
dxsq[kk-1] = dx[kk-1]**2
x = np.arange(0,L+dx[kk-1],dx[kk-1])
uinitial = (1 + np.sin(2.*np.pi*x))/2
nx = np.size(x)
err = np.zeros(nx)
from scipy.optimize import brentq
uexact=np.zeros(nx)
def bisectu(u,x,tend):
zeta=x-u*tend
return u-(1+np.sin(2*np.pi*zeta))/2
for i in range(nx):
uexact[i]=brentq(bisectu,0.,1.,args=(x[i],tend),rtol=1.e-10)
solver1 = maccormick()
solver2 = godunov()
solver3 = roe()
u_maccormick_sine = solver1.solve(x,uinitial,c,umax,tend)
u_godunov_sine = solver2.solve(x,uinitial,c,umax,tend)
u_roe_sine = solver3.solve(x,uinitial,c,umax,tend)
eps1[kk-1] = ((np.sum((u_maccormick_sine - uexact)**2))**0.5)/nx
eps2[kk-1] = ((np.sum((u_godunov_sine - uexact)**2))**0.5)/nx
eps3[kk-1] = ((np.sum((u_roe_sine - uexact)**2))**0.5)/nx
import matplotlib.pyplot as plt
f, ax = plt.subplots(1,1,figsize=(8,5))
ax.loglog(dxinv,eps1,label='Maccormick',color='blue')
ax.loglog(dxinv,eps2,label='Godunov',color='orange')
ax.loglog(dxinv,eps3,label='Roe',color='brown')
ax.loglog(dxinv,dx/0.1,label='First order convergence',color='black',linestyle='--')
ax.loglog(dxinv,dxsq/0.01,label='Second order convergence',color='black',linestyle='-')
ax.set_xlabel('$1/Deltax$',size=20)
ax.set_ylabel('$L2error$',size=20)
ax.grid()
ax.legend(fontsize=16)
plt.show()
| 31.555556
| 115
| 0.572246
| 2,596
| 15,904
| 3.446071
| 0.066641
| 0.026269
| 0.036888
| 0.051643
| 0.866868
| 0.82685
| 0.795886
| 0.790074
| 0.774871
| 0.74279
| 0
| 0.045932
| 0.240254
| 15,904
| 503
| 116
| 31.61829
| 0.694447
| 0.04546
| 0
| 0.774684
| 0
| 0
| 0.056197
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.03038
| false
| 0
| 0.060759
| 0
| 0.129114
| 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
|
712f95977f2581227650309bb2fe4aebbec64fe6
| 4,398
|
py
|
Python
|
sort/merge_sort/merge_sort.py
|
Williano/Algorithms
|
4e3d6990d9fc6741311246a7831e020291fa6981
|
[
"MIT"
] | null | null | null |
sort/merge_sort/merge_sort.py
|
Williano/Algorithms
|
4e3d6990d9fc6741311246a7831e020291fa6981
|
[
"MIT"
] | null | null | null |
sort/merge_sort/merge_sort.py
|
Williano/Algorithms
|
4e3d6990d9fc6741311246a7831e020291fa6981
|
[
"MIT"
] | null | null | null |
from typing import List
class MergeSort:
def __init__(self) -> None:
"""
Initializes attributes of object
"""
pass
def merge_sort(self, data: List) -> List:
"""Sorts a list
Args:
data (List): list of data to be sorted
Returns:
List: returns the sorted list
"""
if len(data) < 2:
return data
length_of_data: int = len(data)
middle_index_of_list: int = length_of_data // 2
left_split: List = data[:middle_index_of_list]
right_split: List = data[middle_index_of_list:]
self.merge_sort(left_split)
self.merge_sort(right_split)
return self.merge_two_sorted_list(left_split, right_split, data)
def merge_two_sorted_list(
self, first_data: List, second_data: List, data: List
) -> List:
"""Merges two list into one sorted list
Args:
first_data (List): first data to be merged
second_data (List): second data to be merged
Returns:
List: sorted data merged
"""
length_of_first_data = len(first_data)
length_of_second_data = len(second_data)
left_split_index_counter: int = 0
right_split_index_counter: int = 0
list_index_counter: int = 0
while (
left_split_index_counter < length_of_first_data
and right_split_index_counter < length_of_second_data
):
if (
first_data[left_split_index_counter]
< second_data[right_split_index_counter]
):
data[list_index_counter] = first_data[left_split_index_counter]
left_split_index_counter += 1
else:
data[list_index_counter] = second_data[right_split_index_counter]
right_split_index_counter += 1
list_index_counter += 1
while left_split_index_counter < length_of_first_data:
data[list_index_counter] = first_data[left_split_index_counter]
left_split_index_counter += 1
list_index_counter += 1
while right_split_index_counter < length_of_second_data:
data[list_index_counter] = second_data[right_split_index_counter]
right_split_index_counter += 1
list_index_counter += 1
return data
def merge_sort_version_2(self, data: List) -> List:
"""Sorts a list
Args:
data (List): list of data to be sorted
Returns:
List: returns the sorted list
"""
if len(data) < 2:
return data
length_of_data: int = len(data)
middle_index_of_list: int = length_of_data // 2
left_split: List = data[:middle_index_of_list]
right_split: List = data[middle_index_of_list:]
self.merge_sort_version_2(left_split)
self.merge_sort_version_2(right_split)
return self.merge_two_sorted_list_version_2(left_split, right_split)
def merge_two_sorted_list_version_2(
self, first_data: List, second_data: List
) -> List:
"""Merges two list into one sorted list
Args:
first_data (List): first data to be merged
second_data (List): second data to be merged
Returns:
List: sorted data merged
"""
length_of_first_data: int = len(first_data)
length_of_second_data: int = len(second_data)
sorted_merge_list: List = []
left_split_index_counter: int = 0
right_split_index_counter: int = 0
while (
left_split_index_counter < length_of_first_data
and right_split_index_counter < length_of_second_data
):
if (
first_data[left_split_index_counter]
< second_data[right_split_index_counter]
):
sorted_merge_list.append(first_data[left_split_index_counter])
left_split_index_counter += 1
else:
sorted_merge_list.append(second_data[right_split_index_counter])
right_split_index_counter += 1
sorted_merge_list.extend(first_data[left_split_index_counter:])
sorted_merge_list.extend(second_data[right_split_index_counter:])
return sorted_merge_list
| 28.012739
| 81
| 0.61437
| 549
| 4,398
| 4.491803
| 0.096539
| 0.175182
| 0.193025
| 0.119221
| 0.88159
| 0.845904
| 0.794809
| 0.748581
| 0.701541
| 0.675182
| 0
| 0.0077
| 0.320828
| 4,398
| 156
| 82
| 28.192308
| 0.817877
| 0.137335
| 0
| 0.632911
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.063291
| false
| 0.012658
| 0.012658
| 0
| 0.164557
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
856e08eea48ebb62c9a64fe717a6f738d1bdecf4
| 87,981
|
py
|
Python
|
com/vmware/nsx/serviceinsertion/services_client.py
|
adammillerio/vsphere-automation-sdk-python
|
c07e1be98615201139b26c28db3aa584c4254b66
|
[
"MIT"
] | null | null | null |
com/vmware/nsx/serviceinsertion/services_client.py
|
adammillerio/vsphere-automation-sdk-python
|
c07e1be98615201139b26c28db3aa584c4254b66
|
[
"MIT"
] | null | null | null |
com/vmware/nsx/serviceinsertion/services_client.py
|
adammillerio/vsphere-automation-sdk-python
|
c07e1be98615201139b26c28db3aa584c4254b66
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
#---------------------------------------------------------------------------
# Copyright 2020 VMware, Inc. All rights reserved.
# AUTO GENERATED FILE -- DO NOT MODIFY!
#
# vAPI stub file for package com.vmware.nsx.serviceinsertion.services.
#---------------------------------------------------------------------------
"""
"""
__author__ = 'VMware, Inc.'
__docformat__ = 'restructuredtext en'
import sys
from vmware.vapi.bindings import type
from vmware.vapi.bindings.converter import TypeConverter
from vmware.vapi.bindings.enum import Enum
from vmware.vapi.bindings.error import VapiError
from vmware.vapi.bindings.struct import VapiStruct
from vmware.vapi.bindings.stub import (
ApiInterfaceStub, StubFactoryBase, VapiInterface)
from vmware.vapi.bindings.common import raise_core_exception
from vmware.vapi.data.validator import (UnionValidator, HasFieldsOfValidator)
from vmware.vapi.exception import CoreException
from vmware.vapi.lib.constants import TaskType
from vmware.vapi.lib.rest import OperationRestMetadata
class ServiceDeployments(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx.serviceinsertion.services.service_deployments'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _ServiceDeploymentsStub)
self._VAPI_OPERATION_IDS = {}
def create(self,
service_id,
service_deployment,
):
"""
This will deploy a particular service on a given cluster / host.
Internally multiple service instance can be created during the
deployment. If there are no issues in the parameters, the call returns
immediately, and the service VMs will be deployed asynchronously. To
get the overall status of the deployment or to get the status of
individual service vm, please use the deployment status APIs.
:type service_id: :class:`str`
:param service_id: (required)
:type service_deployment: :class:`com.vmware.nsx.model_client.ServiceDeployment`
:param service_deployment: (required)
:rtype: :class:`com.vmware.nsx.model_client.ServiceDeployment`
:return: com.vmware.nsx.model.ServiceDeployment
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('create',
{
'service_id': service_id,
'service_deployment': service_deployment,
})
def delete(self,
service_id,
service_deployment_id,
force=None,
):
"""
Remove the service deployment. Will remove all the Service VMs that
were created as part of this deployment. User can send optional force
delete option which will force remove the deployment, but should be
used only when the regular delete is not working. Regular delete will
ensure proper cleanup of Service VMs and related objects. Directly
calling this API without trying regular undeploy will result in
unexpected results, and orphan objects.
:type service_id: :class:`str`
:param service_id: (required)
:type service_deployment_id: :class:`str`
:param service_deployment_id: (required)
:type force: :class:`bool` or ``None``
:param force: Force delete the resource even if it is being used somewhere
(optional, default to false)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'service_id': service_id,
'service_deployment_id': service_deployment_id,
'force': force,
})
def get(self,
service_id,
service_deployment_id,
):
"""
Returns detail of service deployment.
:type service_id: :class:`str`
:param service_id: (required)
:type service_deployment_id: :class:`str`
:param service_deployment_id: (required)
:rtype: :class:`com.vmware.nsx.model_client.ServiceDeployment`
:return: com.vmware.nsx.model.ServiceDeployment
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'service_id': service_id,
'service_deployment_id': service_deployment_id,
})
def list(self,
service_id,
):
"""
Returns the list of deployments for the given service
:type service_id: :class:`str`
:param service_id: (required)
:rtype: :class:`com.vmware.nsx.model_client.ServiceDeploymentListResult`
:return: com.vmware.nsx.model.ServiceDeploymentListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'service_id': service_id,
})
def update(self,
service_id,
service_deployment_id,
service_deployment,
):
"""
Modifies an existing Service Deployment. This will not update the
already deployed service instances, deployed via this deployment.
:type service_id: :class:`str`
:param service_id: (required)
:type service_deployment_id: :class:`str`
:param service_deployment_id: (required)
:type service_deployment: :class:`com.vmware.nsx.model_client.ServiceDeployment`
:param service_deployment: (required)
:rtype: :class:`com.vmware.nsx.model_client.ServiceDeployment`
:return: com.vmware.nsx.model.ServiceDeployment
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'service_id': service_id,
'service_deployment_id': service_deployment_id,
'service_deployment': service_deployment,
})
def upgrade(self,
service_id,
service_deployment_id,
):
"""
Upgrade API is currently disabled. Please refer to vendor documentation
on how to upgrade individual appliances. Upgrade all VMs part of this
service deployment using newer version of OVF. New OVF version isn't
expected in this call because it is published by the partner by
updating the service definition. This API simply upgrades to the latest
version published by the partner.
:type service_id: :class:`str`
:param service_id: (required)
:type service_deployment_id: :class:`str`
:param service_deployment_id: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('upgrade',
{
'service_id': service_id,
'service_deployment_id': service_deployment_id,
})
class ServiceInstances(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx.serviceinsertion.services.service_instances'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _ServiceInstancesStub)
self._VAPI_OPERATION_IDS = {}
def create(self,
service_id,
base_service_instance,
):
"""
Adds a new Service-Instance under the specified Service.
:type service_id: :class:`str`
:param service_id: (required)
:type base_service_instance: :class:`vmware.vapi.struct.VapiStruct`
:param base_service_instance: (required)
The parameter must contain all the attributes defined in
:class:`com.vmware.nsx.model_client.BaseServiceInstance`.
:rtype: :class:`vmware.vapi.struct.VapiStruct`
:return: com.vmware.nsx.model.BaseServiceInstance
The return value will contain all the attributes defined in
:class:`com.vmware.nsx.model_client.BaseServiceInstance`.
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('create',
{
'service_id': service_id,
'base_service_instance': base_service_instance,
})
def delete(self,
service_id,
service_instance_id,
):
"""
Delete existing Service-Instance for a given Service-Insertion Service.
:type service_id: :class:`str`
:param service_id: (required)
:type service_instance_id: :class:`str`
:param service_instance_id: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'service_id': service_id,
'service_instance_id': service_instance_id,
})
def get(self,
service_id,
service_instance_id,
):
"""
Returns Service-Instance information for a given Service-Insertion
Service.
:type service_id: :class:`str`
:param service_id: (required)
:type service_instance_id: :class:`str`
:param service_instance_id: (required)
:rtype: :class:`vmware.vapi.struct.VapiStruct`
:return: com.vmware.nsx.model.BaseServiceInstance
The return value will contain all the attributes defined in
:class:`com.vmware.nsx.model_client.BaseServiceInstance`.
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'service_id': service_id,
'service_instance_id': service_instance_id,
})
def list(self,
service_id,
):
"""
Returns all Service-Instance(s) for a given Service-Insertion Service.
:type service_id: :class:`str`
:param service_id: (required)
:rtype: :class:`com.vmware.nsx.model_client.ServiceInstanceListResult`
:return: com.vmware.nsx.model.ServiceInstanceListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'service_id': service_id,
})
def update(self,
service_id,
service_instance_id,
base_service_instance,
):
"""
Modifies an existing Service-Instance for a given Service-Insertion
Service.
:type service_id: :class:`str`
:param service_id: (required)
:type service_instance_id: :class:`str`
:param service_instance_id: (required)
:type base_service_instance: :class:`vmware.vapi.struct.VapiStruct`
:param base_service_instance: (required)
The parameter must contain all the attributes defined in
:class:`com.vmware.nsx.model_client.BaseServiceInstance`.
:rtype: :class:`vmware.vapi.struct.VapiStruct`
:return: com.vmware.nsx.model.BaseServiceInstance
The return value will contain all the attributes defined in
:class:`com.vmware.nsx.model_client.BaseServiceInstance`.
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'service_id': service_id,
'service_instance_id': service_instance_id,
'base_service_instance': base_service_instance,
})
class ServiceProfiles(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx.serviceinsertion.services.service_profiles'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _ServiceProfilesStub)
self._VAPI_OPERATION_IDS = {}
def create(self,
service_id,
base_service_profile,
):
"""
Adds a new service profile.
:type service_id: :class:`str`
:param service_id: (required)
:type base_service_profile: :class:`vmware.vapi.struct.VapiStruct`
:param base_service_profile: (required)
The parameter must contain all the attributes defined in
:class:`com.vmware.nsx.model_client.BaseServiceProfile`.
:rtype: :class:`vmware.vapi.struct.VapiStruct`
:return: com.vmware.nsx.model.BaseServiceProfile
The return value will contain all the attributes defined in
:class:`com.vmware.nsx.model_client.BaseServiceProfile`.
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('create',
{
'service_id': service_id,
'base_service_profile': base_service_profile,
})
def delete(self,
service_id,
service_profile_id,
):
"""
Delete service profile for a given service.
:type service_id: :class:`str`
:param service_id: (required)
:type service_profile_id: :class:`str`
:param service_profile_id: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'service_id': service_id,
'service_profile_id': service_profile_id,
})
def get(self,
service_id,
service_profile_id,
):
"""
Returns detailed service profile information for a given Service.
:type service_id: :class:`str`
:param service_id: (required)
:type service_profile_id: :class:`str`
:param service_profile_id: (required)
:rtype: :class:`vmware.vapi.struct.VapiStruct`
:return: com.vmware.nsx.model.BaseServiceProfile
The return value will contain all the attributes defined in
:class:`com.vmware.nsx.model_client.BaseServiceProfile`.
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'service_id': service_id,
'service_profile_id': service_profile_id,
})
def list(self,
service_id,
):
"""
List all service profiles of a service.
:type service_id: :class:`str`
:param service_id: (required)
:rtype: :class:`com.vmware.nsx.model_client.SIServiceProfileListResult`
:return: com.vmware.nsx.model.SIServiceProfileListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'service_id': service_id,
})
class SolutionConfigs(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx.serviceinsertion.services.solution_configs'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _SolutionConfigsStub)
self._VAPI_OPERATION_IDS = {}
def create(self,
service_id,
solution_config,
):
"""
Adds a solution config. Solution Config are service level objects,
required for configuring the NXGI partner Service after deployment.
:type service_id: :class:`str`
:param service_id: (required)
:type solution_config: :class:`com.vmware.nsx.model_client.SolutionConfig`
:param solution_config: (required)
:rtype: :class:`com.vmware.nsx.model_client.SolutionConfig`
:return: com.vmware.nsx.model.SolutionConfig
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('create',
{
'service_id': service_id,
'solution_config': solution_config,
})
def delete(self,
service_id,
solution_config_id,
):
"""
Deletes solution config information for a given service.
:type service_id: :class:`str`
:param service_id: (required)
:type solution_config_id: :class:`str`
:param solution_config_id: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'service_id': service_id,
'solution_config_id': solution_config_id,
})
def get(self,
service_id,
solution_config_id,
):
"""
Returns Solution Config information for a given solution config id.
:type service_id: :class:`str`
:param service_id: (required)
:type solution_config_id: :class:`str`
:param solution_config_id: (required)
:rtype: :class:`com.vmware.nsx.model_client.SolutionConfig`
:return: com.vmware.nsx.model.SolutionConfig
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'service_id': service_id,
'solution_config_id': solution_config_id,
})
def list(self,
service_id,
):
"""
Returns Solution Config information for a given service.
:type service_id: :class:`str`
:param service_id: (required)
:rtype: :class:`com.vmware.nsx.model_client.SolutionConfigListResult`
:return: com.vmware.nsx.model.SolutionConfigListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'service_id': service_id,
})
def update(self,
service_id,
solution_config_id,
solution_config,
):
"""
Updates a solution config. Solution Config are service level objects,
required for configuring the NXGI partner Service after deployment.
:type service_id: :class:`str`
:param service_id: (required)
:type solution_config_id: :class:`str`
:param solution_config_id: (required)
:type solution_config: :class:`com.vmware.nsx.model_client.SolutionConfig`
:param solution_config: (required)
:rtype: :class:`com.vmware.nsx.model_client.SolutionConfig`
:return: com.vmware.nsx.model.SolutionConfig
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('update',
{
'service_id': service_id,
'solution_config_id': solution_config_id,
'solution_config': solution_config,
})
class VendorTemplates(VapiInterface):
"""
"""
_VAPI_SERVICE_ID = 'com.vmware.nsx.serviceinsertion.services.vendor_templates'
"""
Identifier of the service in canonical form.
"""
def __init__(self, config):
"""
:type config: :class:`vmware.vapi.bindings.stub.StubConfiguration`
:param config: Configuration to be used for creating the stub.
"""
VapiInterface.__init__(self, config, _VendorTemplatesStub)
self._VAPI_OPERATION_IDS = {}
def create(self,
service_id,
vendor_template,
):
"""
Adds a new vendor template. Vendor templates are service level objects,
registered to be used in Service Profiles.
:type service_id: :class:`str`
:param service_id: (required)
:type vendor_template: :class:`com.vmware.nsx.model_client.VendorTemplate`
:param vendor_template: (required)
:rtype: :class:`com.vmware.nsx.model_client.VendorTemplate`
:return: com.vmware.nsx.model.VendorTemplate
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('create',
{
'service_id': service_id,
'vendor_template': vendor_template,
})
def delete(self,
service_id,
vendor_template_id,
):
"""
Delete vendor template information for a given service. Please make
sure to delete all the Service Profile(s), which refer to this vendor
tempalte before deleting the template itself.
:type service_id: :class:`str`
:param service_id: (required)
:type vendor_template_id: :class:`str`
:param vendor_template_id: (required)
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('delete',
{
'service_id': service_id,
'vendor_template_id': vendor_template_id,
})
def get(self,
service_id,
vendor_template_id,
):
"""
Returns detailed vendor template information for a given service.
:type service_id: :class:`str`
:param service_id: (required)
:type vendor_template_id: :class:`str`
:param vendor_template_id: (required)
:rtype: :class:`com.vmware.nsx.model_client.VendorTemplate`
:return: com.vmware.nsx.model.VendorTemplate
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('get',
{
'service_id': service_id,
'vendor_template_id': vendor_template_id,
})
def list(self,
service_id,
vendor_template_name=None,
):
"""
List all vendor templates of a service.
:type service_id: :class:`str`
:param service_id: (required)
:type vendor_template_name: :class:`str` or ``None``
:param vendor_template_name: Name of vendor template (optional)
:rtype: :class:`com.vmware.nsx.model_client.VendorTemplateListResult`
:return: com.vmware.nsx.model.VendorTemplateListResult
:raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable`
Service Unavailable
:raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest`
Bad Request, Precondition Failed
:raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError`
Internal Server Error
:raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized`
Forbidden
:raise: :class:`com.vmware.vapi.std.errors_client.NotFound`
Not Found
"""
return self._invoke('list',
{
'service_id': service_id,
'vendor_template_name': vendor_template_name,
})
class _ServiceDeploymentsStub(ApiInterfaceStub):
def __init__(self, config):
# properties for create operation
create_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'service_deployment': type.ReferenceType('com.vmware.nsx.model_client', 'ServiceDeployment'),
})
create_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
create_input_value_validator_list = [
]
create_output_validator_list = [
]
create_rest_metadata = OperationRestMetadata(
http_method='POST',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-deployments',
request_body_parameter='service_deployment',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'service_deployment_id': type.StringType(),
'force': type.OptionalType(type.BooleanType()),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-deployments/{service-deployment-id}',
path_variables={
'service_id': 'service-id',
'service_deployment_id': 'service-deployment-id',
},
query_parameters={
'force': 'force',
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'service_deployment_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-deployments/{service-deployment-id}',
path_variables={
'service_id': 'service-id',
'service_deployment_id': 'service-deployment-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-deployments',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'service_deployment_id': type.StringType(),
'service_deployment': type.ReferenceType('com.vmware.nsx.model_client', 'ServiceDeployment'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
]
update_output_validator_list = [
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-deployments/{service-deployment-id}',
request_body_parameter='service_deployment',
path_variables={
'service_id': 'service-id',
'service_deployment_id': 'service-deployment-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for upgrade operation
upgrade_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'service_deployment_id': type.StringType(),
})
upgrade_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
upgrade_input_value_validator_list = [
]
upgrade_output_validator_list = [
]
upgrade_rest_metadata = OperationRestMetadata(
http_method='POST',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-deployments/{service-deployment-id}?action=upgrade',
path_variables={
'service_id': 'service-id',
'service_deployment_id': 'service-deployment-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'create': {
'input_type': create_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'ServiceDeployment'),
'errors': create_error_dict,
'input_value_validator_list': create_input_value_validator_list,
'output_validator_list': create_output_validator_list,
'task_type': TaskType.NONE,
},
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'ServiceDeployment'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'ServiceDeploymentListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'ServiceDeployment'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
'upgrade': {
'input_type': upgrade_input_type,
'output_type': type.VoidType(),
'errors': upgrade_error_dict,
'input_value_validator_list': upgrade_input_value_validator_list,
'output_validator_list': upgrade_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'create': create_rest_metadata,
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'update': update_rest_metadata,
'upgrade': upgrade_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx.serviceinsertion.services.service_deployments',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _ServiceInstancesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for create operation
create_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'base_service_instance': type.DynamicStructType('vmware.vapi.dynamic_struct', {}, VapiStruct, [type.ReferenceType('com.vmware.nsx.model_client', 'BaseServiceInstance')]),
})
create_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
create_input_value_validator_list = [
HasFieldsOfValidator()
]
create_output_validator_list = [
HasFieldsOfValidator()
]
create_rest_metadata = OperationRestMetadata(
http_method='POST',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-instances',
request_body_parameter='base_service_instance',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'service_instance_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-instances/{service-instance-id}',
path_variables={
'service_id': 'service-id',
'service_instance_id': 'service-instance-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'service_instance_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-instances/{service-instance-id}',
path_variables={
'service_id': 'service-id',
'service_instance_id': 'service-instance-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-instances',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'service_instance_id': type.StringType(),
'base_service_instance': type.DynamicStructType('vmware.vapi.dynamic_struct', {}, VapiStruct, [type.ReferenceType('com.vmware.nsx.model_client', 'BaseServiceInstance')]),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
HasFieldsOfValidator()
]
update_output_validator_list = [
HasFieldsOfValidator()
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-instances/{service-instance-id}',
request_body_parameter='base_service_instance',
path_variables={
'service_id': 'service-id',
'service_instance_id': 'service-instance-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'create': {
'input_type': create_input_type,
'output_type': type.DynamicStructType('vmware.vapi.dynamic_struct', {}, VapiStruct, [type.ReferenceType('com.vmware.nsx.model_client', 'BaseServiceInstance')]),
'errors': create_error_dict,
'input_value_validator_list': create_input_value_validator_list,
'output_validator_list': create_output_validator_list,
'task_type': TaskType.NONE,
},
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.DynamicStructType('vmware.vapi.dynamic_struct', {}, VapiStruct, [type.ReferenceType('com.vmware.nsx.model_client', 'BaseServiceInstance')]),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'ServiceInstanceListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.DynamicStructType('vmware.vapi.dynamic_struct', {}, VapiStruct, [type.ReferenceType('com.vmware.nsx.model_client', 'BaseServiceInstance')]),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'create': create_rest_metadata,
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx.serviceinsertion.services.service_instances',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _ServiceProfilesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for create operation
create_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'base_service_profile': type.DynamicStructType('vmware.vapi.dynamic_struct', {}, VapiStruct, [type.ReferenceType('com.vmware.nsx.model_client', 'BaseServiceProfile')]),
})
create_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
create_input_value_validator_list = [
HasFieldsOfValidator()
]
create_output_validator_list = [
HasFieldsOfValidator()
]
create_rest_metadata = OperationRestMetadata(
http_method='POST',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-profiles',
request_body_parameter='base_service_profile',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'service_profile_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-profiles/{service-profile-id}',
path_variables={
'service_id': 'service-id',
'service_profile_id': 'service-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'service_profile_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
HasFieldsOfValidator()
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-profiles/{service-profile-id}',
path_variables={
'service_id': 'service-id',
'service_profile_id': 'service-profile-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
HasFieldsOfValidator()
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/api/v1/serviceinsertion/services/{service-id}/service-profiles',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'create': {
'input_type': create_input_type,
'output_type': type.DynamicStructType('vmware.vapi.dynamic_struct', {}, VapiStruct, [type.ReferenceType('com.vmware.nsx.model_client', 'BaseServiceProfile')]),
'errors': create_error_dict,
'input_value_validator_list': create_input_value_validator_list,
'output_validator_list': create_output_validator_list,
'task_type': TaskType.NONE,
},
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.DynamicStructType('vmware.vapi.dynamic_struct', {}, VapiStruct, [type.ReferenceType('com.vmware.nsx.model_client', 'BaseServiceProfile')]),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'SIServiceProfileListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'create': create_rest_metadata,
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx.serviceinsertion.services.service_profiles',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _SolutionConfigsStub(ApiInterfaceStub):
def __init__(self, config):
# properties for create operation
create_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'solution_config': type.ReferenceType('com.vmware.nsx.model_client', 'SolutionConfig'),
})
create_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
create_input_value_validator_list = [
]
create_output_validator_list = [
]
create_rest_metadata = OperationRestMetadata(
http_method='POST',
url_template='/api/v1/serviceinsertion/services/{service-id}/solution-configs',
request_body_parameter='solution_config',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'solution_config_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/api/v1/serviceinsertion/services/{service-id}/solution-configs/{solution-config-id}',
path_variables={
'service_id': 'service-id',
'solution_config_id': 'solution-config-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'solution_config_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/api/v1/serviceinsertion/services/{service-id}/solution-configs/{solution-config-id}',
path_variables={
'service_id': 'service-id',
'solution_config_id': 'solution-config-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/api/v1/serviceinsertion/services/{service-id}/solution-configs',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for update operation
update_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'solution_config_id': type.StringType(),
'solution_config': type.ReferenceType('com.vmware.nsx.model_client', 'SolutionConfig'),
})
update_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
update_input_value_validator_list = [
]
update_output_validator_list = [
]
update_rest_metadata = OperationRestMetadata(
http_method='PUT',
url_template='/api/v1/serviceinsertion/services/{service-id}/solution-configs/{solution-config-id}',
request_body_parameter='solution_config',
path_variables={
'service_id': 'service-id',
'solution_config_id': 'solution-config-id',
},
query_parameters={
},
content_type='application/json'
)
operations = {
'create': {
'input_type': create_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'SolutionConfig'),
'errors': create_error_dict,
'input_value_validator_list': create_input_value_validator_list,
'output_validator_list': create_output_validator_list,
'task_type': TaskType.NONE,
},
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'SolutionConfig'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'SolutionConfigListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
'update': {
'input_type': update_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'SolutionConfig'),
'errors': update_error_dict,
'input_value_validator_list': update_input_value_validator_list,
'output_validator_list': update_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'create': create_rest_metadata,
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
'update': update_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx.serviceinsertion.services.solution_configs',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class _VendorTemplatesStub(ApiInterfaceStub):
def __init__(self, config):
# properties for create operation
create_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'vendor_template': type.ReferenceType('com.vmware.nsx.model_client', 'VendorTemplate'),
})
create_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
create_input_value_validator_list = [
]
create_output_validator_list = [
]
create_rest_metadata = OperationRestMetadata(
http_method='POST',
url_template='/api/v1/serviceinsertion/services/{service-id}/vendor-templates',
request_body_parameter='vendor_template',
path_variables={
'service_id': 'service-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for delete operation
delete_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'vendor_template_id': type.StringType(),
})
delete_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
delete_input_value_validator_list = [
]
delete_output_validator_list = [
]
delete_rest_metadata = OperationRestMetadata(
http_method='DELETE',
url_template='/api/v1/serviceinsertion/services/{service-id}/vendor-templates/{vendor-template-id}',
path_variables={
'service_id': 'service-id',
'vendor_template_id': 'vendor-template-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for get operation
get_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'vendor_template_id': type.StringType(),
})
get_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
get_input_value_validator_list = [
]
get_output_validator_list = [
]
get_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/api/v1/serviceinsertion/services/{service-id}/vendor-templates/{vendor-template-id}',
path_variables={
'service_id': 'service-id',
'vendor_template_id': 'vendor-template-id',
},
query_parameters={
},
content_type='application/json'
)
# properties for list operation
list_input_type = type.StructType('operation-input', {
'service_id': type.StringType(),
'vendor_template_name': type.OptionalType(type.StringType()),
})
list_error_dict = {
'com.vmware.vapi.std.errors.service_unavailable':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'),
'com.vmware.vapi.std.errors.invalid_request':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'),
'com.vmware.vapi.std.errors.internal_server_error':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'),
'com.vmware.vapi.std.errors.unauthorized':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'),
'com.vmware.vapi.std.errors.not_found':
type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'),
}
list_input_value_validator_list = [
]
list_output_validator_list = [
]
list_rest_metadata = OperationRestMetadata(
http_method='GET',
url_template='/api/v1/serviceinsertion/services/{service-id}/vendor-templates',
path_variables={
'service_id': 'service-id',
},
query_parameters={
'vendor_template_name': 'vendor_template_name',
},
content_type='application/json'
)
operations = {
'create': {
'input_type': create_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'VendorTemplate'),
'errors': create_error_dict,
'input_value_validator_list': create_input_value_validator_list,
'output_validator_list': create_output_validator_list,
'task_type': TaskType.NONE,
},
'delete': {
'input_type': delete_input_type,
'output_type': type.VoidType(),
'errors': delete_error_dict,
'input_value_validator_list': delete_input_value_validator_list,
'output_validator_list': delete_output_validator_list,
'task_type': TaskType.NONE,
},
'get': {
'input_type': get_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'VendorTemplate'),
'errors': get_error_dict,
'input_value_validator_list': get_input_value_validator_list,
'output_validator_list': get_output_validator_list,
'task_type': TaskType.NONE,
},
'list': {
'input_type': list_input_type,
'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'VendorTemplateListResult'),
'errors': list_error_dict,
'input_value_validator_list': list_input_value_validator_list,
'output_validator_list': list_output_validator_list,
'task_type': TaskType.NONE,
},
}
rest_metadata = {
'create': create_rest_metadata,
'delete': delete_rest_metadata,
'get': get_rest_metadata,
'list': list_rest_metadata,
}
ApiInterfaceStub.__init__(
self, iface_name='com.vmware.nsx.serviceinsertion.services.vendor_templates',
config=config, operations=operations, rest_metadata=rest_metadata,
is_vapi_rest=False)
class StubFactory(StubFactoryBase):
_attrs = {
'ServiceDeployments': ServiceDeployments,
'ServiceInstances': ServiceInstances,
'ServiceProfiles': ServiceProfiles,
'SolutionConfigs': SolutionConfigs,
'VendorTemplates': VendorTemplates,
'service_deployments': 'com.vmware.nsx.serviceinsertion.services.service_deployments_client.StubFactory',
'service_instances': 'com.vmware.nsx.serviceinsertion.services.service_instances_client.StubFactory',
'service_profiles': 'com.vmware.nsx.serviceinsertion.services.service_profiles_client.StubFactory',
}
| 44.479778
| 182
| 0.599084
| 8,489
| 87,981
| 5.96949
| 0.036047
| 0.078855
| 0.092353
| 0.113666
| 0.930222
| 0.922763
| 0.905476
| 0.890735
| 0.886808
| 0.881875
| 0
| 0.000466
| 0.293257
| 87,981
| 1,977
| 183
| 44.502276
| 0.814506
| 0.253293
| 0
| 0.776224
| 1
| 0.010878
| 0.33767
| 0.233726
| 0
| 0
| 0
| 0
| 0
| 1
| 0.026418
| false
| 0
| 0.009324
| 0
| 0.067599
| 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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| 1
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| null | 0
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| 0
|
0
| 8
|
858f19c85dd0031812fc8709c657df8b55dbd20a
| 23,137
|
py
|
Python
|
test/test_webserver.py
|
ComplexArts/pyctrl-core
|
a72bd53924410c2e7f1e71c8188a0391550febdd
|
[
"Apache-2.0"
] | 12
|
2017-06-20T13:20:40.000Z
|
2021-01-18T00:12:10.000Z
|
test/test_webserver.py
|
mcdeoliveira/beaglebone
|
6c6062c6d1e9902178500abcd10be6ac0bcf043d
|
[
"Apache-2.0"
] | 2
|
2017-06-12T15:17:24.000Z
|
2018-01-30T18:22:19.000Z
|
test/test_webserver.py
|
mcdeoliveira/beaglebone
|
6c6062c6d1e9902178500abcd10be6ac0bcf043d
|
[
"Apache-2.0"
] | 4
|
2017-09-25T12:19:19.000Z
|
2019-01-31T21:46:24.000Z
|
start_server = True
#start_server = False
def test_webserver():
import subprocess
import time
import numpy
from pyctrl.flask.server import JSONDecoder, JSONEncoder
if start_server:
# initiate server
print('> Starting server')
server = subprocess.Popen(["python3",
"pyctrl/flask/server.py"],
stdout = subprocess.PIPE)
time.sleep(2)
try:
# reset controller
url = "http://127.0.0.1:5000/reset"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# check index page
answer = b"<div><p><class 'pyctrl.timer.Controller'> with: 0 timer(s), 3 signal(s), 1 source(s), 0 filter(s), and 0 sink(s)</p><h2>timers</h2><ol></ol><h2>signals</h2><ol><li>clock</li><li>duty</li><li>is_running</li></ol><h2>sources</h2><ol><li>clock[TimerClock, disabled] ≫ clock</li></ol><h2>filters</h2><ol></ol><h2>sinks</h2><ol></ol></div>"
# check info page
url = "http://127.0.0.1:5000/info"
output = subprocess.check_output(["curl", url])
assert output == answer
# S I N K S
# add sink
url = r'"http://127.0.0.1:5000/add/sink/printer/pyctrl.block/Printer?inputs=\[\"clock\",\"is_running\"\]"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get sink
url = "http://127.0.0.1:5000/get/sink/printer"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
from pyctrl.block import Printer
assert result['printer'].get() == Printer().get()
# get attribute/sink
url = r'"http://127.0.0.1:5000/get/sink/printer?keys=\"enabled\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True}
assert result == answer
# get attribute/sink (multiple)
url = '"http://127.0.0.1:5000/get/sink/printer?keys=\[\\"enabled\\",\\"endln\\"\]"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True, 'endln': '\n'}
assert result == answer
# set attribute/sink
url = 'http://127.0.0.1:5000/set/sink/printer?enabled=false'
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/sink
url = '"http://127.0.0.1:5000/get/sink/printer?keys=\\"enabled\\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': False}
assert result == answer
# set attribute/sink
url = '"http://127.0.0.1:5000/set/sink/printer?endln=\\"\\r\\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/sink
url = '"http://127.0.0.1:5000/get/sink/printer?keys=\\"endln\\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'endln': '\r'}
assert result == answer
# set attribute/sink (multiple)
url = '"http://127.0.0.1:5000/set/sink/printer?enabled=true&endln=\\"\\r\\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/sink (multiple)
url = '"http://127.0.0.1:5000/get/sink/printer?keys=\[\\"enabled\\",\\"endln\\"\]"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True, 'endln': '\r' }
assert result == answer
# add sink with parameter
url = r'"http://127.0.0.1:5000/add/sink/printer/pyctrl.block/Printer?inputs=\[\"clock\",\"is_running\"\]&kwargs=\{\"endln\":\"\\r\"\}"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/sink (multiple)
url = '"http://127.0.0.1:5000/get/sink/printer?keys=\[\\"enabled\\",\\"endln\\"\]"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True, 'endln': '\r' }
assert result == answer
# S O U R C E
# add source
url = r'"http://127.0.0.1:5000/add/source/constant/pyctrl.block/Constant?outputs=\[\"signal\"\]&kwargs=\{\"value\":3\}"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get source
url = "http://127.0.0.1:5000/get/source/constant"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
from pyctrl.block import Constant
assert result['constant'].get() == Constant(value = 3).get()
# get attribute/source
url = r'"http://127.0.0.1:5000/get/source/constant?keys=\"enabled\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True}
assert result == answer
# get attribute/source (multiple)
url = r'"http://127.0.0.1:5000/get/source/constant?keys=\[\"enabled\",\"value\"\]"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True, 'value': 3}
assert result == answer
# set attribute/source
url = 'http://127.0.0.1:5000/set/source/constant?enabled=false'
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/source
url = '"http://127.0.0.1:5000/get/source/constant?keys=\\"enabled\\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': False}
assert result == answer
# set attribute/source
url = '"http://127.0.0.1:5000/set/source/constant?value=4"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/source
url = '"http://127.0.0.1:5000/get/source/constant?keys=\\"value\\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'value': 4}
assert result == answer
# set attribute/source (multiple)
url = '"http://127.0.0.1:5000/set/source/constant?enabled=true&value=5"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/source (multiple)
url = '"http://127.0.0.1:5000/get/source/constant?keys=\[\\"enabled\\",\\"value\\"\]"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True, 'value': 5 }
assert result == answer
# F I L T E R
# add filter
url = r'"http://127.0.0.1:5000/add/filter/gain/pyctrl.block.system/Gain?inputs=\[\"inp\"\]&outputs=\[\"out\"\]&kwargs=\{\"gain\":3\}"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get filter
url = "http://127.0.0.1:5000/get/filter/gain"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
from pyctrl.block.system import Gain
assert result['gain'].get() == Gain(gain = 3).get()
# get attribute/filter
url = r'"http://127.0.0.1:5000/get/filter/gain?keys=\"enabled\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True}
assert result == answer
# get attribute/filter (multiple)
url = r'"http://127.0.0.1:5000/get/filter/gain?keys=\[\"enabled\",\"gain\"\]"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True, 'gain': 3}
assert result == answer
# set attribute/filter
url = 'http://127.0.0.1:5000/set/filter/gain?enabled=false'
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/filter
url = '"http://127.0.0.1:5000/get/filter/gain?keys=\\"enabled\\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': False}
assert result == answer
# set attribute/filter
url = '"http://127.0.0.1:5000/set/filter/gain?gain=4"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/filter
url = '"http://127.0.0.1:5000/get/filter/gain?keys=\\"gain\\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'gain': 4}
assert result == answer
# set attribute/filter (multiple)
url = '"http://127.0.0.1:5000/set/filter/gain?enabled=true&gain=5"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/filter (multiple)
url = '"http://127.0.0.1:5000/get/filter/gain?keys=\[\\"enabled\\",\\"gain\\"\]"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True, 'gain': 5 }
assert result == answer
# T I M E R
# add timer
url = r'"http://127.0.0.1:5000/add/timer/gain/pyctrl.block.system/Gain?inputs=\[\"inp\"\]&outputs=\[\"out\"\]&kwargs=\{\"gain\":3\}&period=1"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get timer
url = "http://127.0.0.1:5000/get/timer/gain"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
from pyctrl.block.system import Gain
assert result['gain'].get() == Gain(gain = 3).get()
# get attribute/timer
url = r'"http://127.0.0.1:5000/get/timer/gain?keys=\"enabled\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True}
assert result == answer
# get attribute/timer (multiple)
url = r'"http://127.0.0.1:5000/get/timer/gain?keys=\[\"enabled\",\"gain\"\]"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True, 'gain': 3}
assert result == answer
# set attribute/timer
url = 'http://127.0.0.1:5000/set/timer/gain?enabled=false'
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/timer
url = '"http://127.0.0.1:5000/get/timer/gain?keys=\\"enabled\\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': False}
assert result == answer
# set attribute/timer
url = '"http://127.0.0.1:5000/set/timer/gain?gain=4"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/timer
url = '"http://127.0.0.1:5000/get/timer/gain?keys=\\"gain\\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'gain': 4}
assert result == answer
# set attribute/timer (multiple)
url = '"http://127.0.0.1:5000/set/timer/gain?enabled=true&gain=5"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get attribute/timer (multiple)
url = '"http://127.0.0.1:5000/get/timer/gain?keys=\[\\"enabled\\",\\"gain\\"\]"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'enabled': True, 'gain': 5 }
assert result == answer
answer = b"<div><p><class 'pyctrl.timer.Controller'> with: 1 timer(s), 6 signal(s), 2 source(s), 1 filter(s), and 1 sink(s)</p><h2>timers</h2><ol><li>inp ≫ gain[Gain, period = 1, repeat, enabled] ≫ out</li></ol><h2>signals</h2><ol><li>clock</li><li>duty</li><li>inp</li><li>is_running</li><li>out</li><li>signal</li></ol><h2>sources</h2><ol><li>clock[TimerClock, disabled] ≫ clock</li><li>constant[Constant, enabled] ≫ signal</li></ol><h2>filters</h2><ol><li>inp ≫ gain[Gain, enabled] ≫ out</li></ol><h2>sinks</h2><ol><li>clock, is_running ≫ printer[Printer, enabled]</li></ol></div>"
# check info page
url = "http://127.0.0.1:5000/info"
output = subprocess.check_output(["curl", url])
assert output == answer
# reset controller
url = "http://127.0.0.1:5000/set/controller/pyctrl/Controller"
output = subprocess.check_output(["curl", url]).decode("utf-8")
answer = '<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2 Final//EN">\n<title>Redirecting...</title>\n<h1>Redirecting...</h1>\n<p>You should be redirected automatically to target URL: <a href="/">/</a>. If not click the link.'
assert output == answer
# check info page
url = "http://127.0.0.1:5000/info"
output = subprocess.check_output(["curl", url])
answer = b"<div><p><class 'pyctrl.Controller'> with: 0 timer(s), 3 signal(s), 1 source(s), 0 filter(s), and 0 sink(s)</p><h2>timers</h2><ol></ol><h2>signals</h2><ol><li>clock</li><li>duty</li><li>is_running</li></ol><h2>sources</h2><ol><li>clock[Clock, disabled] ≫ clock</li></ol><h2>filters</h2><ol></ol><h2>sinks</h2><ol></ol></div>"
assert output == answer
# reset controller
url = "http://127.0.0.1:5000/set/controller/pyctrl.timer/Controller?kwargs=\{\"period\":1\}"
output = subprocess.check_output(["curl", url]).decode("utf-8")
answer = '<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2 Final//EN">\n<title>Redirecting...</title>\n<h1>Redirecting...</h1>\n<p>You should be redirected automatically to target URL: <a href="/">/</a>. If not click the link.'
assert output == answer
# get attribute/timer
url = r'"http://127.0.0.1:5000/get/source/clock?keys=\"period\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'period': 1}
assert result == answer
# add logger
url = r'"http://127.0.0.1:5000/add/sink/logger/pyctrl.block/Logger?inputs=\[\"clock\",\"is_running\"\]"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# start
url = "http://127.0.0.1:5000/start"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
time.sleep(3)
# stop
url = "http://127.0.0.1:5000/stop"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get log
url = r'"http://127.0.0.1:5000/get/sink/logger?keys=\"log\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)['log']
assert isinstance(result['clock'], numpy.ndarray)
assert isinstance(result['is_running'], numpy.ndarray)
assert result['is_running'].shape == result['clock'].shape
assert result['clock'].shape[0] >= 3
assert result['clock'].shape[1] == 1
assert result['clock'][-1,0] - result['clock'][0,0] < 4
# start
url = "http://127.0.0.1:5000/start"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
time.sleep(3)
# stop
url = "http://127.0.0.1:5000/stop"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get log
url = r'"http://127.0.0.1:5000/get/sink/logger?keys=\"log\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)['log']
assert isinstance(result['clock'], numpy.ndarray)
assert isinstance(result['is_running'], numpy.ndarray)
assert result['is_running'].shape == result['clock'].shape
assert result['clock'].shape[0] > 6
assert result['clock'].shape[1] == 1
assert result['clock'][-1,0] - result['clock'][0,0] > 6
# add logger with auto_reset
url = r'"http://127.0.0.1:5000/add/sink/logger/pyctrl.block/Logger?inputs=\[\"clock\",\"is_running\"\]&kwargs=\{\"auto_reset\":true\}"'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# start
url = "http://127.0.0.1:5000/start"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
time.sleep(3)
# stop
url = "http://127.0.0.1:5000/stop"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get log
url = r'"http://127.0.0.1:5000/get/sink/logger?keys=\"log\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)['log']
print('log = {}'.format(result))
assert isinstance(result['clock'], numpy.ndarray)
assert isinstance(result['is_running'], numpy.ndarray)
assert result['is_running'].shape == result['clock'].shape
assert result['clock'].shape[0] >= 3
assert result['clock'].shape[1] == 1
assert result['clock'][-1,0] - result['clock'][0,0] < 4
# start
url = "http://127.0.0.1:5000/start"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
time.sleep(3)
# stop
url = "http://127.0.0.1:5000/stop"
output = subprocess.check_output(["curl", url]).decode("utf-8")
result = JSONDecoder().decode(output)
answer = {'status': 'success'}
assert result == answer
# get log
url = r'"http://127.0.0.1:5000/get/sink/logger?keys=\"log\""'
output = subprocess.check_output('curl ' + url, shell=True).decode("utf-8")
result = JSONDecoder().decode(output)['log']
print('log = {}'.format(result))
assert isinstance(result['clock'], numpy.ndarray)
assert isinstance(result['is_running'], numpy.ndarray)
assert result['is_running'].shape == result['clock'].shape
assert result['clock'].shape[0] >= 3
assert result['clock'].shape[1] == 1
assert result['clock'][-1,0] - result['clock'][0,0] < 4
except Exception as e:
print('** EXCEPTION RAISED **')
print(e)
raise e
finally:
if start_server:
# stop server
print('> Terminating server')
server.terminate()
| 40.029412
| 619
| 0.567705
| 2,841
| 23,137
| 4.593101
| 0.05491
| 0.064373
| 0.038624
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| 0.925282
| 0.918461
| 0.912637
| 0.910261
| 0.900146
| 0
| 0.046715
| 0.248736
| 23,137
| 577
| 620
| 40.098787
| 0.704004
| 0.054372
| 0
| 0.776204
| 0
| 0.144476
| 0.314839
| 0.046818
| 0
| 0
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| 0.235127
| 1
| 0.002833
| false
| 0
| 0.022663
| 0
| 0.025496
| 0.056657
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
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|
0
| 7
|
a4621c0363e39c44336e9ca0b525dcb5f4886a98
| 90,711
|
py
|
Python
|
aud/generated/audLux.py
|
merikesh/aud
|
304feee374bfd20ad5ab916c12daf05327c0d4ac
|
[
"MIT"
] | 10
|
2019-01-09T06:18:11.000Z
|
2021-07-28T22:48:40.000Z
|
aud/generated/audLux.py
|
merikesh/aud
|
304feee374bfd20ad5ab916c12daf05327c0d4ac
|
[
"MIT"
] | null | null | null |
aud/generated/audLux.py
|
merikesh/aud
|
304feee374bfd20ad5ab916c12daf05327c0d4ac
|
[
"MIT"
] | 1
|
2019-05-12T16:12:16.000Z
|
2019-05-12T16:12:16.000Z
|
from .base import Prim, Attribute, Property
class Light(Prim):
"""
Base class for all lights.
<b>Linking</b>
Lights can be linked to geometry. Linking controls which geometry
a light illuminates, and which geometry casts shadows from the light.
Linking is specified as collections (UsdCollectionAPI) which can
be accessed via GetLightLinkCollection() and GetShadowLinkCollection().
Note however that there are extra semantics in how UsdLuxLight
uses its collections: if a collection is empty, the light is treated
as linked to <i>all</i> geometry for the respective purpose.
UsdCollectionAPI and UsdCollectionAPI::MembershipQuery are unaware
of this light-specific interpretation.
"""
apiSchemas = Property(name='apiSchemas', values=["CollectionAPI:lightLink", "CollectionAPI:shadowLink"])
color = Attribute(
name = 'color',
as_type = 'color3f',
value = (1, 1, 1),
docstring = """,
The color of emitted light, in energy-linear terms.
""",
)
colorTemperature = Attribute(
name = 'colorTemperature',
as_type = 'float',
value = 6500,
displayName = "Color Temperature",
docstring = """,
Color temperature, in degrees Kelvin, representing the white point. The default is a common white point, D65. Lower
values are warmer and higher values are cooler. The valid range
is from 1000 to 10000. Only takes effect when
enableColorTemperature is set to true. When active, the
computed result multiplies against the color attribute.
See UsdLuxBlackbodyTemperatureAsRgb().
""",
)
diffuse = Attribute(
name = 'diffuse',
as_type = 'float',
value = 1,
displayName = "Diffuse Multiplier",
docstring = """,
A multiplier for the effect of this light on the diffuse response of materials. This is a non-physical control.
""",
)
enableColorTemperature = Attribute(
name = 'enableColorTemperature',
as_type = 'bool',
value = 0,
displayName = "Enable Color Temperature",
docstring = """,
Enables using colorTemperature.
""",
)
exposure = Attribute(
name = 'exposure',
as_type = 'float',
value = 0,
docstring = """,
Scales the power of the light exponentially as a power of 2 (similar to an F-stop control over exposure). The result
is multiplied against the intensity.
""",
)
filters = Attribute(
name = 'filters',
as_type = 'rel',
docstring = """,
Relationship to the light filters that apply to this light.
""",
)
intensity = Attribute(
name = 'intensity',
as_type = 'float',
value = 1,
docstring = """,
Scales the power of the light linearly.
""",
)
normalize = Attribute(
name = 'normalize',
as_type = 'bool',
value = 0,
displayName = "Normalize Power",
docstring = """,
Normalizes power by the surface area of the light. This makes it easier to independently adjust the power and shape
of the light, by causing the power to not vary with the area or
angular size of the light.
""",
)
proxyPrim = Attribute(
name = 'proxyPrim',
as_type = 'rel',
docstring = """,
The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target)
purpose="proxy" prim. This is entirely optional, but can be
useful in several scenarios:
- In a pipeline that does pruning (for complexity management)
by deactivating prims composed from asset references, when we
deactivate a purpose="render" prim, we will be able to discover
and additionally deactivate its associated purpose="proxy" prim,
so that preview renders reflect the pruning accurately.
- DCC importers may be able to make more aggressive optimizations
for interactive processing and display if they can discover the proxy
for a given render prim.
- With a little more work, a Hydra-based application will be able
to map a picked proxy prim back to its render geometry for selection.
\\note It is only valid to author the proxyPrim relationship on
prims whose purpose is "render".
""",
)
purpose = Attribute(
name = 'purpose',
as_type = 'token',
value = "default",
is_uniform = True,
allowedTokens = ["default", "render", "proxy", "guide"],
docstring = """,
Purpose is a concept we have found useful in our pipeline for classifying geometry into categories that can each be independently
included or excluded from traversals of prims on a stage, such as
rendering or bounding-box computation traversals. The fallback
purpose, default indicates that a prim has "no special purpose"
and should generally be included in all traversals. Subtrees rooted
at a prim with purpose render should generally only be included
when performing a "final quality" render. Subtrees rooted at a prim
with purpose proxy should generally only be included when
performing a lightweight proxy render (such as openGL). Finally,
subtrees rooted at a prim with purpose guide should generally
only be included when an interactive application has been explicitly
asked to "show guides".
In the previous paragraph, when we say "subtrees rooted at a prim",
we mean the most ancestral or tallest subtree that has an authored,
non-default opinion. If the purpose of </RootPrim> is set to
"render", then the effective purpose of </RootPrim/ChildPrim> will
be "render" even if that prim has a different authored value for
purpose. <b>See ComputePurpose() for details of how purpose
inherits down namespace</b>.
As demonstrated in UsdGeomBBoxCache, a traverser should be ready to
accept combinations of included purposes as an input.
Purpose render can be useful in creating "light blocker"
geometry for raytracing interior scenes. Purposes render and
proxy can be used together to partition a complicated model
into a lightweight proxy representation for interactive use, and a
fully realized, potentially quite heavy, representation for rendering.
One can use UsdVariantSets to create proxy representations, but doing
so requires that we recompose parts of the UsdStage in order to change
to a different runtime level of detail, and that does not interact
well with the needs of multithreaded rendering. Purpose provides us with
a better tool for dynamic, interactive complexity management.
""",
)
specular = Attribute(
name = 'specular',
as_type = 'float',
value = 1,
displayName = "Specular Multiplier",
docstring = """,
A multiplier for the effect of this light on the specular response of materials. This is a non-physical control.
""",
)
visibility = Attribute(
name = 'visibility',
as_type = 'token',
value = "inherited",
allowedTokens = ["inherited", "invisible"],
docstring = """,
Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is
animatable, allowing a sub-tree of geometry to be present for some
segment of a shot, and absent from others; unlike the action of
deactivating geometry prims, invisible geometry is still
available for inspection, for positioning, for defining volumes, etc.
""",
)
token = Attribute(
name = 'token',
as_type = 'uniform',
docstring = """,
Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while
visiting a UsdStage's prims in a graph traversal that will effect
the desired positioning for this prim and its descendant prims.
You should rarely, if ever, need to manipulate this attribute directly.
It is managed by the AddXformOp(), SetResetXformStack(), and
SetXformOpOrder(), and consulted by GetOrderedXformOps() and
GetLocalTransformation().
""",
)
class ListAPI(Prim):
"""
API schema to support discovery and publishing of lights in a scene.
Discovering Lights via Traversal
To motivate this API, consider what is required to discover all
lights in a scene. We must load all payloads and traverse all prims:
\\code
01 // Load everything on the stage so we can find all lights,
02 // including those inside payloads
03 stage->Load();
04
05 // Traverse all prims, checking if they are of type UsdLuxLight
06 // (Note: ignoring instancing and a few other things for simplicity)
07 SdfPathVector lights;
08 for (UsdPrim prim: stage->Traverse()) {
09 if (prim.IsA<UsdLuxLight>()) {
10 lights.push_back(i->GetPath());
11 }
12 }
\\endcode
This traversal -- suitably elaborated to handle certain details --
is the first and simplest thing UsdLuxListAPI provides.
UsdLuxListAPI::ComputeLightList() performs this traversal and returns
all lights in the scene:
\\code
01 UsdLuxListAPI listAPI(stage->GetPseudoRoot());
02 SdfPathVector lights = listAPI.ComputeLightList();
\\endcode
Publishing a Cached Light List
Consider a USD client that needs to quickly discover lights but
wants to defer loading payloads and traversing the entire scene
where possible, and is willing to do up-front computation and
caching to achieve that.
UsdLuxListAPI provides a way to cache the computed light list,
by publishing the list of lights onto prims in the model
hierarchy. Consider a big set that contains lights:
\\code
01 def Xform "BigSetWithLights" (
02 kind = "assembly"
03 payload = @BigSetWithLights.usd@ // Heavy payload
04 ) {
05 // Pre-computed, cached list of lights inside payload
06 rel lightList = [
07 <./Lights/light_1>,
08 <./Lights/light_2>,
09 ...
10 ]
11 token lightList:cacheBehavior = "consumeAndContinue";
12 }
\\endcode
The lightList relationship encodes a set of lights, and the
lightList:cacheBehavior property provides fine-grained
control over how to use that cache. (See details below.)
The cache can be created by first invoking
ComputeLightList(ComputeModeIgnoreCache) to pre-compute the list
and then storing the result with UsdLuxListAPI::StoreLightList().
To enable efficient retrieval of the cache, it should be stored
on a model hierarchy prim. Furthermore, note that while you can
use a UsdLuxListAPI bound to the pseudo-root prim to query the
lights (as in the example above) because it will perform a
traversal over descendants, you cannot store the cache back to the
pseduo-root prim.
To consult the cached list, we invoke
ComputeLightList(ComputeModeConsultModelHierarchyCache):
\\code
01 // Find and load all lights, using lightList cache where available
02 UsdLuxListAPI list(stage->GetPseudoRoot());
03 SdfPathSet lights = list.ComputeLightList(
04 UsdLuxListAPI::ComputeModeConsultModelHierarchyCache);
05 stage.LoadAndUnload(lights, SdfPathSet());
\\endcode
In this mode, ComputeLightList() will traverse the model
hierarchy, accumulating cached light lists.
Controlling Cache Behavior
The lightList:cacheBehavior property gives additional fine-grained
control over cache behavior:
- The fallback value, "ignore", indicates that the lightList should
be disregarded. This provides a way to invalidate cache entries.
Note that unless "ignore" is specified, a lightList with an empty
list of targets is considered a cache indicating that no lights
are present.
- The value "consumeAndContinue" indicates that the cache should
be consulted to contribute lights to the scene, and that recursion
should continue down the model hierarchy in case additional lights
are added as descedants. This is the default value established when
StoreLightList() is invoked. This behavior allows the lights within
a large model, such as the BigSetWithLights example above, to be
published outside the payload, while also allowing referencing and
layering to add additional lights over that set.
- The value "consumeAndHalt" provides a way to terminate recursive
traversal of the scene for light discovery. The cache will be
consulted but no descendant prims will be examined.
Instancing
Where instances are present, UsdLuxListAPI::ComputeLightList() will
return the instance-unique paths to any lights discovered within
those instances. Lights within a UsdGeomPointInstancer will
not be returned, however, since they cannot be referred to
solely via paths.
"""
lightList = Attribute(
name = 'lightList',
as_type = 'rel',
docstring = """,
Relationship to lights in the scene.
""",
)
cacheBehavior = Attribute(
name = 'lightList:cacheBehavior',
as_type = 'token',
allowedTokens = ["consumeAndHalt", "consumeAndContinue", "ignore"],
docstring = """,
Controls how the lightList should be interpreted. Valid values are:
- consumeAndHalt: The lightList should be consulted,
and if it exists, treated as a final authoritative statement
of any lights that exist at or below this prim, halting
recursive discovery of lights.
- consumeAndContinue: The lightList should be consulted,
but recursive traversal over nameChildren should continue
in case additional lights are added by descendants.
- ignore: The lightList should be entirely ignored. This
provides a simple way to temporarily invalidate an existing
cache. This is the fallback behavior.
""",
)
class ShapingAPI(Prim):
"""
Controls for shaping a light's emission.
"""
angle = Attribute(
name = 'shaping:cone:angle',
as_type = 'float',
value = 90,
displayGroup = "Shaping",
docstring = """,
Angular limit off the primary axis to restrict the light spread.
""",
)
softness = Attribute(
name = 'shaping:cone:softness',
as_type = 'float',
value = 0,
displayGroup = "Shaping",
docstring = """,
Controls the cutoff softness for cone angle. TODO: clarify semantics
""",
)
focus = Attribute(
name = 'shaping:focus',
as_type = 'float',
value = 0,
displayGroup = "Shaping",
docstring = """,
A control to shape the spread of light. Higher focus values pull light towards the center and narrow the spread.
Implemented as an off-axis cosine power exponent.
TODO: clarify semantics
""",
)
focusTint = Attribute(
name = 'shaping:focusTint',
as_type = 'color3f',
value = (0, 0, 0),
displayGroup = "Shaping",
docstring = """,
Off-axis color tint. This tints the emission in the falloff region. The default tint is black.
TODO: clarify semantics
""",
)
angleScale = Attribute(
name = 'shaping:ies:angleScale',
as_type = 'float',
displayGroup = "Shaping",
docstring = """,
Rescales the angular distribution of the IES profile. TODO: clarify semantics
""",
)
file_ = Attribute(
name = 'shaping:ies:file',
as_type = 'asset',
displayGroup = "Shaping",
docstring = """,
An IES (Illumination Engineering Society) light profile describing the angular distribution of light.
""",
)
class ShadowAPI(Prim):
"""
Controls to refine a light's shadow behavior. These are non-physical controls that are valuable for visual lighting work.
"""
color = Attribute(
name = 'shadow:color',
as_type = 'color3f',
value = (0, 0, 0),
displayGroup = "Shadows",
docstring = """,
The color of shadows cast by the light. This is a non-physical control. The default is to cast black shadows.
""",
)
distance = Attribute(
name = 'shadow:distance',
as_type = 'float',
displayGroup = "Shadows",
docstring = """,
The maximum distance shadows are cast. There is no limit unless this attribute value is overridden.
""",
)
enable = Attribute(
name = 'shadow:enable',
as_type = 'bool',
value = 1,
displayGroup = "Shadows",
docstring = """,
Enables shadows to be cast by this light.
""",
)
exclude = Attribute(
name = 'shadow:exclude',
as_type = 'rel',
displayGroup = "Shadows",
displayName = "Shadow Exclude Subset",
docstring = """,
Set of geometry to ignore for the purpose of casting shadows from a light. If this is not specified, all geometry is used for shadowing.
""",
)
falloff = Attribute(
name = 'shadow:falloff',
as_type = 'float',
displayGroup = "Shadows",
docstring = """,
The near distance at which shadow falloff beings. There is no falloff unless this attribute value is overridden.
""",
)
falloffGamma = Attribute(
name = 'shadow:falloffGamma',
as_type = 'float',
value = 1,
displayGroup = "Shadows",
docstring = """,
A gamma (i.e., exponential) control over shadow strength with linear distance within the falloff zone.
This requires the use of shadowDistance and shadowFalloff.
""",
)
include = Attribute(
name = 'shadow:include',
as_type = 'rel',
displayGroup = "Shadows",
displayName = "Shadow Include Subset",
docstring = """,
Set of geometry to consider for the purpose of casting shadows from a light. If this is not specified, all geometry is used for shadowing.
""",
)
class LightFilter(Prim):
"""
A light filter modifies the effect of a light. Lights refer to filters via relationships so that filters may be
shared.
<b>Linking</b>
Filters can be linked to geometry. Linking controls which geometry
a light-filter affects, when considering the light filters attached
to a light illuminating the geometry.
Linking is specified as a collection (UsdCollectionAPI) which can
be accessed via GetFilterLinkCollection().
Note however that there are extra semantics in how UsdLuxLightFilter
uses its collection: if a collection is empty, the filter is treated
as linked to <i>all</i> geometry for the respective purpose.
UsdCollectionAPI and UsdCollectionAPI::MembershipQuery are unaware
of this filter-specific interpretation.
"""
as_type = "LightFilter"
apiSchemas = Property(name='apiSchemas', values=["CollectionAPI:filterLink"])
proxyPrim = Attribute(
name = 'proxyPrim',
as_type = 'rel',
docstring = """,
The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target)
purpose="proxy" prim. This is entirely optional, but can be
useful in several scenarios:
- In a pipeline that does pruning (for complexity management)
by deactivating prims composed from asset references, when we
deactivate a purpose="render" prim, we will be able to discover
and additionally deactivate its associated purpose="proxy" prim,
so that preview renders reflect the pruning accurately.
- DCC importers may be able to make more aggressive optimizations
for interactive processing and display if they can discover the proxy
for a given render prim.
- With a little more work, a Hydra-based application will be able
to map a picked proxy prim back to its render geometry for selection.
\\note It is only valid to author the proxyPrim relationship on
prims whose purpose is "render".
""",
)
purpose = Attribute(
name = 'purpose',
as_type = 'token',
value = "default",
is_uniform = True,
allowedTokens = ["default", "render", "proxy", "guide"],
docstring = """,
Purpose is a concept we have found useful in our pipeline for classifying geometry into categories that can each be independently
included or excluded from traversals of prims on a stage, such as
rendering or bounding-box computation traversals. The fallback
purpose, default indicates that a prim has "no special purpose"
and should generally be included in all traversals. Subtrees rooted
at a prim with purpose render should generally only be included
when performing a "final quality" render. Subtrees rooted at a prim
with purpose proxy should generally only be included when
performing a lightweight proxy render (such as openGL). Finally,
subtrees rooted at a prim with purpose guide should generally
only be included when an interactive application has been explicitly
asked to "show guides".
In the previous paragraph, when we say "subtrees rooted at a prim",
we mean the most ancestral or tallest subtree that has an authored,
non-default opinion. If the purpose of </RootPrim> is set to
"render", then the effective purpose of </RootPrim/ChildPrim> will
be "render" even if that prim has a different authored value for
purpose. <b>See ComputePurpose() for details of how purpose
inherits down namespace</b>.
As demonstrated in UsdGeomBBoxCache, a traverser should be ready to
accept combinations of included purposes as an input.
Purpose render can be useful in creating "light blocker"
geometry for raytracing interior scenes. Purposes render and
proxy can be used together to partition a complicated model
into a lightweight proxy representation for interactive use, and a
fully realized, potentially quite heavy, representation for rendering.
One can use UsdVariantSets to create proxy representations, but doing
so requires that we recompose parts of the UsdStage in order to change
to a different runtime level of detail, and that does not interact
well with the needs of multithreaded rendering. Purpose provides us with
a better tool for dynamic, interactive complexity management.
""",
)
visibility = Attribute(
name = 'visibility',
as_type = 'token',
value = "inherited",
allowedTokens = ["inherited", "invisible"],
docstring = """,
Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is
animatable, allowing a sub-tree of geometry to be present for some
segment of a shot, and absent from others; unlike the action of
deactivating geometry prims, invisible geometry is still
available for inspection, for positioning, for defining volumes, etc.
""",
)
token = Attribute(
name = 'token',
as_type = 'uniform',
docstring = """,
Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while
visiting a UsdStage's prims in a graph traversal that will effect
the desired positioning for this prim and its descendant prims.
You should rarely, if ever, need to manipulate this attribute directly.
It is managed by the AddXformOp(), SetResetXformStack(), and
SetXformOpOrder(), and consulted by GetOrderedXformOps() and
GetLocalTransformation().
""",
)
class DistantLight(Prim):
"""
Light emitted from a distant source along the -Z axis. Also known as a directional light.
"""
as_type = "DistantLight"
apiSchemas = Property(name='apiSchemas', values=["CollectionAPI:lightLink", "CollectionAPI:shadowLink"])
angle = Attribute(
name = 'angle',
as_type = 'float',
value = 0.53,
docstring = """,
Angular size of the light in degrees. As an example, the Sun is approximately 0.53 degrees as seen from Earth.
Higher values broaden the light and therefore soften shadow edges.
""",
)
color = Attribute(
name = 'color',
as_type = 'color3f',
value = (1, 1, 1),
docstring = """,
The color of emitted light, in energy-linear terms.
""",
)
colorTemperature = Attribute(
name = 'colorTemperature',
as_type = 'float',
value = 6500,
displayName = "Color Temperature",
docstring = """,
Color temperature, in degrees Kelvin, representing the white point. The default is a common white point, D65. Lower
values are warmer and higher values are cooler. The valid range
is from 1000 to 10000. Only takes effect when
enableColorTemperature is set to true. When active, the
computed result multiplies against the color attribute.
See UsdLuxBlackbodyTemperatureAsRgb().
""",
)
diffuse = Attribute(
name = 'diffuse',
as_type = 'float',
value = 1,
displayName = "Diffuse Multiplier",
docstring = """,
A multiplier for the effect of this light on the diffuse response of materials. This is a non-physical control.
""",
)
enableColorTemperature = Attribute(
name = 'enableColorTemperature',
as_type = 'bool',
value = 0,
displayName = "Enable Color Temperature",
docstring = """,
Enables using colorTemperature.
""",
)
exposure = Attribute(
name = 'exposure',
as_type = 'float',
value = 0,
docstring = """,
Scales the power of the light exponentially as a power of 2 (similar to an F-stop control over exposure). The result
is multiplied against the intensity.
""",
)
filters = Attribute(
name = 'filters',
as_type = 'rel',
docstring = """,
Relationship to the light filters that apply to this light.
""",
)
intensity = Attribute(
name = 'intensity',
as_type = 'float',
value = 50000,
docstring = """,
Scales the emission of the light linearly. The DistantLight has a high default intensity to approximate the Sun.
""",
)
normalize = Attribute(
name = 'normalize',
as_type = 'bool',
value = 0,
displayName = "Normalize Power",
docstring = """,
Normalizes power by the surface area of the light. This makes it easier to independently adjust the power and shape
of the light, by causing the power to not vary with the area or
angular size of the light.
""",
)
proxyPrim = Attribute(
name = 'proxyPrim',
as_type = 'rel',
docstring = """,
The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target)
purpose="proxy" prim. This is entirely optional, but can be
useful in several scenarios:
- In a pipeline that does pruning (for complexity management)
by deactivating prims composed from asset references, when we
deactivate a purpose="render" prim, we will be able to discover
and additionally deactivate its associated purpose="proxy" prim,
so that preview renders reflect the pruning accurately.
- DCC importers may be able to make more aggressive optimizations
for interactive processing and display if they can discover the proxy
for a given render prim.
- With a little more work, a Hydra-based application will be able
to map a picked proxy prim back to its render geometry for selection.
\\note It is only valid to author the proxyPrim relationship on
prims whose purpose is "render".
""",
)
purpose = Attribute(
name = 'purpose',
as_type = 'token',
value = "default",
is_uniform = True,
allowedTokens = ["default", "render", "proxy", "guide"],
docstring = """,
Purpose is a concept we have found useful in our pipeline for classifying geometry into categories that can each be independently
included or excluded from traversals of prims on a stage, such as
rendering or bounding-box computation traversals. The fallback
purpose, default indicates that a prim has "no special purpose"
and should generally be included in all traversals. Subtrees rooted
at a prim with purpose render should generally only be included
when performing a "final quality" render. Subtrees rooted at a prim
with purpose proxy should generally only be included when
performing a lightweight proxy render (such as openGL). Finally,
subtrees rooted at a prim with purpose guide should generally
only be included when an interactive application has been explicitly
asked to "show guides".
In the previous paragraph, when we say "subtrees rooted at a prim",
we mean the most ancestral or tallest subtree that has an authored,
non-default opinion. If the purpose of </RootPrim> is set to
"render", then the effective purpose of </RootPrim/ChildPrim> will
be "render" even if that prim has a different authored value for
purpose. <b>See ComputePurpose() for details of how purpose
inherits down namespace</b>.
As demonstrated in UsdGeomBBoxCache, a traverser should be ready to
accept combinations of included purposes as an input.
Purpose render can be useful in creating "light blocker"
geometry for raytracing interior scenes. Purposes render and
proxy can be used together to partition a complicated model
into a lightweight proxy representation for interactive use, and a
fully realized, potentially quite heavy, representation for rendering.
One can use UsdVariantSets to create proxy representations, but doing
so requires that we recompose parts of the UsdStage in order to change
to a different runtime level of detail, and that does not interact
well with the needs of multithreaded rendering. Purpose provides us with
a better tool for dynamic, interactive complexity management.
""",
)
specular = Attribute(
name = 'specular',
as_type = 'float',
value = 1,
displayName = "Specular Multiplier",
docstring = """,
A multiplier for the effect of this light on the specular response of materials. This is a non-physical control.
""",
)
visibility = Attribute(
name = 'visibility',
as_type = 'token',
value = "inherited",
allowedTokens = ["inherited", "invisible"],
docstring = """,
Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is
animatable, allowing a sub-tree of geometry to be present for some
segment of a shot, and absent from others; unlike the action of
deactivating geometry prims, invisible geometry is still
available for inspection, for positioning, for defining volumes, etc.
""",
)
token = Attribute(
name = 'token',
as_type = 'uniform',
docstring = """,
Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while
visiting a UsdStage's prims in a graph traversal that will effect
the desired positioning for this prim and its descendant prims.
You should rarely, if ever, need to manipulate this attribute directly.
It is managed by the AddXformOp(), SetResetXformStack(), and
SetXformOpOrder(), and consulted by GetOrderedXformOps() and
GetLocalTransformation().
""",
)
class DiskLight(Prim):
"""
Light emitted from one side of a circular disk. The disk is centered in the XY plane and emits light along the -Z axis.
"""
as_type = "DiskLight"
apiSchemas = Property(name='apiSchemas', values=["CollectionAPI:lightLink", "CollectionAPI:shadowLink"])
color = Attribute(
name = 'color',
as_type = 'color3f',
value = (1, 1, 1),
docstring = """,
The color of emitted light, in energy-linear terms.
""",
)
colorTemperature = Attribute(
name = 'colorTemperature',
as_type = 'float',
value = 6500,
displayName = "Color Temperature",
docstring = """,
Color temperature, in degrees Kelvin, representing the white point. The default is a common white point, D65. Lower
values are warmer and higher values are cooler. The valid range
is from 1000 to 10000. Only takes effect when
enableColorTemperature is set to true. When active, the
computed result multiplies against the color attribute.
See UsdLuxBlackbodyTemperatureAsRgb().
""",
)
diffuse = Attribute(
name = 'diffuse',
as_type = 'float',
value = 1,
displayName = "Diffuse Multiplier",
docstring = """,
A multiplier for the effect of this light on the diffuse response of materials. This is a non-physical control.
""",
)
enableColorTemperature = Attribute(
name = 'enableColorTemperature',
as_type = 'bool',
value = 0,
displayName = "Enable Color Temperature",
docstring = """,
Enables using colorTemperature.
""",
)
exposure = Attribute(
name = 'exposure',
as_type = 'float',
value = 0,
docstring = """,
Scales the power of the light exponentially as a power of 2 (similar to an F-stop control over exposure). The result
is multiplied against the intensity.
""",
)
filters = Attribute(
name = 'filters',
as_type = 'rel',
docstring = """,
Relationship to the light filters that apply to this light.
""",
)
intensity = Attribute(
name = 'intensity',
as_type = 'float',
value = 1,
docstring = """,
Scales the power of the light linearly.
""",
)
normalize = Attribute(
name = 'normalize',
as_type = 'bool',
value = 0,
displayName = "Normalize Power",
docstring = """,
Normalizes power by the surface area of the light. This makes it easier to independently adjust the power and shape
of the light, by causing the power to not vary with the area or
angular size of the light.
""",
)
proxyPrim = Attribute(
name = 'proxyPrim',
as_type = 'rel',
docstring = """,
The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target)
purpose="proxy" prim. This is entirely optional, but can be
useful in several scenarios:
- In a pipeline that does pruning (for complexity management)
by deactivating prims composed from asset references, when we
deactivate a purpose="render" prim, we will be able to discover
and additionally deactivate its associated purpose="proxy" prim,
so that preview renders reflect the pruning accurately.
- DCC importers may be able to make more aggressive optimizations
for interactive processing and display if they can discover the proxy
for a given render prim.
- With a little more work, a Hydra-based application will be able
to map a picked proxy prim back to its render geometry for selection.
\\note It is only valid to author the proxyPrim relationship on
prims whose purpose is "render".
""",
)
purpose = Attribute(
name = 'purpose',
as_type = 'token',
value = "default",
is_uniform = True,
allowedTokens = ["default", "render", "proxy", "guide"],
docstring = """,
Purpose is a concept we have found useful in our pipeline for classifying geometry into categories that can each be independently
included or excluded from traversals of prims on a stage, such as
rendering or bounding-box computation traversals. The fallback
purpose, default indicates that a prim has "no special purpose"
and should generally be included in all traversals. Subtrees rooted
at a prim with purpose render should generally only be included
when performing a "final quality" render. Subtrees rooted at a prim
with purpose proxy should generally only be included when
performing a lightweight proxy render (such as openGL). Finally,
subtrees rooted at a prim with purpose guide should generally
only be included when an interactive application has been explicitly
asked to "show guides".
In the previous paragraph, when we say "subtrees rooted at a prim",
we mean the most ancestral or tallest subtree that has an authored,
non-default opinion. If the purpose of </RootPrim> is set to
"render", then the effective purpose of </RootPrim/ChildPrim> will
be "render" even if that prim has a different authored value for
purpose. <b>See ComputePurpose() for details of how purpose
inherits down namespace</b>.
As demonstrated in UsdGeomBBoxCache, a traverser should be ready to
accept combinations of included purposes as an input.
Purpose render can be useful in creating "light blocker"
geometry for raytracing interior scenes. Purposes render and
proxy can be used together to partition a complicated model
into a lightweight proxy representation for interactive use, and a
fully realized, potentially quite heavy, representation for rendering.
One can use UsdVariantSets to create proxy representations, but doing
so requires that we recompose parts of the UsdStage in order to change
to a different runtime level of detail, and that does not interact
well with the needs of multithreaded rendering. Purpose provides us with
a better tool for dynamic, interactive complexity management.
""",
)
radius = Attribute(
name = 'radius',
as_type = 'float',
value = 0.5,
docstring = """,
Radius of the disk.
""",
)
specular = Attribute(
name = 'specular',
as_type = 'float',
value = 1,
displayName = "Specular Multiplier",
docstring = """,
A multiplier for the effect of this light on the specular response of materials. This is a non-physical control.
""",
)
visibility = Attribute(
name = 'visibility',
as_type = 'token',
value = "inherited",
allowedTokens = ["inherited", "invisible"],
docstring = """,
Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is
animatable, allowing a sub-tree of geometry to be present for some
segment of a shot, and absent from others; unlike the action of
deactivating geometry prims, invisible geometry is still
available for inspection, for positioning, for defining volumes, etc.
""",
)
token = Attribute(
name = 'token',
as_type = 'uniform',
docstring = """,
Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while
visiting a UsdStage's prims in a graph traversal that will effect
the desired positioning for this prim and its descendant prims.
You should rarely, if ever, need to manipulate this attribute directly.
It is managed by the AddXformOp(), SetResetXformStack(), and
SetXformOpOrder(), and consulted by GetOrderedXformOps() and
GetLocalTransformation().
""",
)
class RectLight(Prim):
"""
Light emitted from one side of a rectangle. The rectangle is centered in the XY plane and emits light along the -Z axis.
The rectangle is 1 unit in length in the X and Y axis.
"""
as_type = "RectLight"
apiSchemas = Property(name='apiSchemas', values=["CollectionAPI:lightLink", "CollectionAPI:shadowLink"])
color = Attribute(
name = 'color',
as_type = 'color3f',
value = (1, 1, 1),
docstring = """,
The color of emitted light, in energy-linear terms.
""",
)
colorTemperature = Attribute(
name = 'colorTemperature',
as_type = 'float',
value = 6500,
displayName = "Color Temperature",
docstring = """,
Color temperature, in degrees Kelvin, representing the white point. The default is a common white point, D65. Lower
values are warmer and higher values are cooler. The valid range
is from 1000 to 10000. Only takes effect when
enableColorTemperature is set to true. When active, the
computed result multiplies against the color attribute.
See UsdLuxBlackbodyTemperatureAsRgb().
""",
)
diffuse = Attribute(
name = 'diffuse',
as_type = 'float',
value = 1,
displayName = "Diffuse Multiplier",
docstring = """,
A multiplier for the effect of this light on the diffuse response of materials. This is a non-physical control.
""",
)
enableColorTemperature = Attribute(
name = 'enableColorTemperature',
as_type = 'bool',
value = 0,
displayName = "Enable Color Temperature",
docstring = """,
Enables using colorTemperature.
""",
)
exposure = Attribute(
name = 'exposure',
as_type = 'float',
value = 0,
docstring = """,
Scales the power of the light exponentially as a power of 2 (similar to an F-stop control over exposure). The result
is multiplied against the intensity.
""",
)
filters = Attribute(
name = 'filters',
as_type = 'rel',
docstring = """,
Relationship to the light filters that apply to this light.
""",
)
height = Attribute(
name = 'height',
as_type = 'float',
value = 1,
docstring = """,
Height of the rectangle, in the local Y axis.
""",
)
intensity = Attribute(
name = 'intensity',
as_type = 'float',
value = 1,
docstring = """,
Scales the power of the light linearly.
""",
)
normalize = Attribute(
name = 'normalize',
as_type = 'bool',
value = 0,
displayName = "Normalize Power",
docstring = """,
Normalizes power by the surface area of the light. This makes it easier to independently adjust the power and shape
of the light, by causing the power to not vary with the area or
angular size of the light.
""",
)
proxyPrim = Attribute(
name = 'proxyPrim',
as_type = 'rel',
docstring = """,
The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target)
purpose="proxy" prim. This is entirely optional, but can be
useful in several scenarios:
- In a pipeline that does pruning (for complexity management)
by deactivating prims composed from asset references, when we
deactivate a purpose="render" prim, we will be able to discover
and additionally deactivate its associated purpose="proxy" prim,
so that preview renders reflect the pruning accurately.
- DCC importers may be able to make more aggressive optimizations
for interactive processing and display if they can discover the proxy
for a given render prim.
- With a little more work, a Hydra-based application will be able
to map a picked proxy prim back to its render geometry for selection.
\\note It is only valid to author the proxyPrim relationship on
prims whose purpose is "render".
""",
)
purpose = Attribute(
name = 'purpose',
as_type = 'token',
value = "default",
is_uniform = True,
allowedTokens = ["default", "render", "proxy", "guide"],
docstring = """,
Purpose is a concept we have found useful in our pipeline for classifying geometry into categories that can each be independently
included or excluded from traversals of prims on a stage, such as
rendering or bounding-box computation traversals. The fallback
purpose, default indicates that a prim has "no special purpose"
and should generally be included in all traversals. Subtrees rooted
at a prim with purpose render should generally only be included
when performing a "final quality" render. Subtrees rooted at a prim
with purpose proxy should generally only be included when
performing a lightweight proxy render (such as openGL). Finally,
subtrees rooted at a prim with purpose guide should generally
only be included when an interactive application has been explicitly
asked to "show guides".
In the previous paragraph, when we say "subtrees rooted at a prim",
we mean the most ancestral or tallest subtree that has an authored,
non-default opinion. If the purpose of </RootPrim> is set to
"render", then the effective purpose of </RootPrim/ChildPrim> will
be "render" even if that prim has a different authored value for
purpose. <b>See ComputePurpose() for details of how purpose
inherits down namespace</b>.
As demonstrated in UsdGeomBBoxCache, a traverser should be ready to
accept combinations of included purposes as an input.
Purpose render can be useful in creating "light blocker"
geometry for raytracing interior scenes. Purposes render and
proxy can be used together to partition a complicated model
into a lightweight proxy representation for interactive use, and a
fully realized, potentially quite heavy, representation for rendering.
One can use UsdVariantSets to create proxy representations, but doing
so requires that we recompose parts of the UsdStage in order to change
to a different runtime level of detail, and that does not interact
well with the needs of multithreaded rendering. Purpose provides us with
a better tool for dynamic, interactive complexity management.
""",
)
specular = Attribute(
name = 'specular',
as_type = 'float',
value = 1,
displayName = "Specular Multiplier",
docstring = """,
A multiplier for the effect of this light on the specular response of materials. This is a non-physical control.
""",
)
file_ = Attribute(
name = 'texture:file',
as_type = 'asset',
docstring = """,
A color texture to use on the rectangle.
""",
)
visibility = Attribute(
name = 'visibility',
as_type = 'token',
value = "inherited",
allowedTokens = ["inherited", "invisible"],
docstring = """,
Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is
animatable, allowing a sub-tree of geometry to be present for some
segment of a shot, and absent from others; unlike the action of
deactivating geometry prims, invisible geometry is still
available for inspection, for positioning, for defining volumes, etc.
""",
)
width = Attribute(
name = 'width',
as_type = 'float',
value = 1,
docstring = """,
Width of the rectangle, in the local X axis.
""",
)
token = Attribute(
name = 'token',
as_type = 'uniform',
docstring = """,
Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while
visiting a UsdStage's prims in a graph traversal that will effect
the desired positioning for this prim and its descendant prims.
You should rarely, if ever, need to manipulate this attribute directly.
It is managed by the AddXformOp(), SetResetXformStack(), and
SetXformOpOrder(), and consulted by GetOrderedXformOps() and
GetLocalTransformation().
""",
)
class SphereLight(Prim):
"""
Light emitted outward from a sphere.
"""
as_type = "SphereLight"
apiSchemas = Property(name='apiSchemas', values=["CollectionAPI:lightLink", "CollectionAPI:shadowLink"])
color = Attribute(
name = 'color',
as_type = 'color3f',
value = (1, 1, 1),
docstring = """,
The color of emitted light, in energy-linear terms.
""",
)
colorTemperature = Attribute(
name = 'colorTemperature',
as_type = 'float',
value = 6500,
displayName = "Color Temperature",
docstring = """,
Color temperature, in degrees Kelvin, representing the white point. The default is a common white point, D65. Lower
values are warmer and higher values are cooler. The valid range
is from 1000 to 10000. Only takes effect when
enableColorTemperature is set to true. When active, the
computed result multiplies against the color attribute.
See UsdLuxBlackbodyTemperatureAsRgb().
""",
)
diffuse = Attribute(
name = 'diffuse',
as_type = 'float',
value = 1,
displayName = "Diffuse Multiplier",
docstring = """,
A multiplier for the effect of this light on the diffuse response of materials. This is a non-physical control.
""",
)
enableColorTemperature = Attribute(
name = 'enableColorTemperature',
as_type = 'bool',
value = 0,
displayName = "Enable Color Temperature",
docstring = """,
Enables using colorTemperature.
""",
)
exposure = Attribute(
name = 'exposure',
as_type = 'float',
value = 0,
docstring = """,
Scales the power of the light exponentially as a power of 2 (similar to an F-stop control over exposure). The result
is multiplied against the intensity.
""",
)
filters = Attribute(
name = 'filters',
as_type = 'rel',
docstring = """,
Relationship to the light filters that apply to this light.
""",
)
intensity = Attribute(
name = 'intensity',
as_type = 'float',
value = 1,
docstring = """,
Scales the power of the light linearly.
""",
)
normalize = Attribute(
name = 'normalize',
as_type = 'bool',
value = 0,
displayName = "Normalize Power",
docstring = """,
Normalizes power by the surface area of the light. This makes it easier to independently adjust the power and shape
of the light, by causing the power to not vary with the area or
angular size of the light.
""",
)
proxyPrim = Attribute(
name = 'proxyPrim',
as_type = 'rel',
docstring = """,
The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target)
purpose="proxy" prim. This is entirely optional, but can be
useful in several scenarios:
- In a pipeline that does pruning (for complexity management)
by deactivating prims composed from asset references, when we
deactivate a purpose="render" prim, we will be able to discover
and additionally deactivate its associated purpose="proxy" prim,
so that preview renders reflect the pruning accurately.
- DCC importers may be able to make more aggressive optimizations
for interactive processing and display if they can discover the proxy
for a given render prim.
- With a little more work, a Hydra-based application will be able
to map a picked proxy prim back to its render geometry for selection.
\\note It is only valid to author the proxyPrim relationship on
prims whose purpose is "render".
""",
)
purpose = Attribute(
name = 'purpose',
as_type = 'token',
value = "default",
is_uniform = True,
allowedTokens = ["default", "render", "proxy", "guide"],
docstring = """,
Purpose is a concept we have found useful in our pipeline for classifying geometry into categories that can each be independently
included or excluded from traversals of prims on a stage, such as
rendering or bounding-box computation traversals. The fallback
purpose, default indicates that a prim has "no special purpose"
and should generally be included in all traversals. Subtrees rooted
at a prim with purpose render should generally only be included
when performing a "final quality" render. Subtrees rooted at a prim
with purpose proxy should generally only be included when
performing a lightweight proxy render (such as openGL). Finally,
subtrees rooted at a prim with purpose guide should generally
only be included when an interactive application has been explicitly
asked to "show guides".
In the previous paragraph, when we say "subtrees rooted at a prim",
we mean the most ancestral or tallest subtree that has an authored,
non-default opinion. If the purpose of </RootPrim> is set to
"render", then the effective purpose of </RootPrim/ChildPrim> will
be "render" even if that prim has a different authored value for
purpose. <b>See ComputePurpose() for details of how purpose
inherits down namespace</b>.
As demonstrated in UsdGeomBBoxCache, a traverser should be ready to
accept combinations of included purposes as an input.
Purpose render can be useful in creating "light blocker"
geometry for raytracing interior scenes. Purposes render and
proxy can be used together to partition a complicated model
into a lightweight proxy representation for interactive use, and a
fully realized, potentially quite heavy, representation for rendering.
One can use UsdVariantSets to create proxy representations, but doing
so requires that we recompose parts of the UsdStage in order to change
to a different runtime level of detail, and that does not interact
well with the needs of multithreaded rendering. Purpose provides us with
a better tool for dynamic, interactive complexity management.
""",
)
radius = Attribute(
name = 'radius',
as_type = 'float',
value = 0.5,
docstring = """,
Radius of the sphere.
""",
)
specular = Attribute(
name = 'specular',
as_type = 'float',
value = 1,
displayName = "Specular Multiplier",
docstring = """,
A multiplier for the effect of this light on the specular response of materials. This is a non-physical control.
""",
)
treatAsPoint = Attribute(
name = 'treatAsPoint',
as_type = 'bool',
value = 0,
docstring = """,
A hint that this light can be treated as a 'point' light (effectively, a zero-radius sphere) by renderers that
benefit from non-area lighting. Renderers that only support
area lights can disregard this.
""",
)
visibility = Attribute(
name = 'visibility',
as_type = 'token',
value = "inherited",
allowedTokens = ["inherited", "invisible"],
docstring = """,
Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is
animatable, allowing a sub-tree of geometry to be present for some
segment of a shot, and absent from others; unlike the action of
deactivating geometry prims, invisible geometry is still
available for inspection, for positioning, for defining volumes, etc.
""",
)
token = Attribute(
name = 'token',
as_type = 'uniform',
docstring = """,
Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while
visiting a UsdStage's prims in a graph traversal that will effect
the desired positioning for this prim and its descendant prims.
You should rarely, if ever, need to manipulate this attribute directly.
It is managed by the AddXformOp(), SetResetXformStack(), and
SetXformOpOrder(), and consulted by GetOrderedXformOps() and
GetLocalTransformation().
""",
)
class CylinderLight(Prim):
"""
Light emitted outward from a cylinder. The cylinder is centered at the origin and has its major axis on the X axis.
The cylinder does not emit light from the flat end-caps.
"""
as_type = "CylinderLight"
apiSchemas = Property(name='apiSchemas', values=["CollectionAPI:lightLink", "CollectionAPI:shadowLink"])
color = Attribute(
name = 'color',
as_type = 'color3f',
value = (1, 1, 1),
docstring = """,
The color of emitted light, in energy-linear terms.
""",
)
colorTemperature = Attribute(
name = 'colorTemperature',
as_type = 'float',
value = 6500,
displayName = "Color Temperature",
docstring = """,
Color temperature, in degrees Kelvin, representing the white point. The default is a common white point, D65. Lower
values are warmer and higher values are cooler. The valid range
is from 1000 to 10000. Only takes effect when
enableColorTemperature is set to true. When active, the
computed result multiplies against the color attribute.
See UsdLuxBlackbodyTemperatureAsRgb().
""",
)
diffuse = Attribute(
name = 'diffuse',
as_type = 'float',
value = 1,
displayName = "Diffuse Multiplier",
docstring = """,
A multiplier for the effect of this light on the diffuse response of materials. This is a non-physical control.
""",
)
enableColorTemperature = Attribute(
name = 'enableColorTemperature',
as_type = 'bool',
value = 0,
displayName = "Enable Color Temperature",
docstring = """,
Enables using colorTemperature.
""",
)
exposure = Attribute(
name = 'exposure',
as_type = 'float',
value = 0,
docstring = """,
Scales the power of the light exponentially as a power of 2 (similar to an F-stop control over exposure). The result
is multiplied against the intensity.
""",
)
filters = Attribute(
name = 'filters',
as_type = 'rel',
docstring = """,
Relationship to the light filters that apply to this light.
""",
)
intensity = Attribute(
name = 'intensity',
as_type = 'float',
value = 1,
docstring = """,
Scales the power of the light linearly.
""",
)
length = Attribute(
name = 'length',
as_type = 'float',
value = 1,
docstring = """,
Width of the rectangle, in the local X axis.
""",
)
normalize = Attribute(
name = 'normalize',
as_type = 'bool',
value = 0,
displayName = "Normalize Power",
docstring = """,
Normalizes power by the surface area of the light. This makes it easier to independently adjust the power and shape
of the light, by causing the power to not vary with the area or
angular size of the light.
""",
)
proxyPrim = Attribute(
name = 'proxyPrim',
as_type = 'rel',
docstring = """,
The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target)
purpose="proxy" prim. This is entirely optional, but can be
useful in several scenarios:
- In a pipeline that does pruning (for complexity management)
by deactivating prims composed from asset references, when we
deactivate a purpose="render" prim, we will be able to discover
and additionally deactivate its associated purpose="proxy" prim,
so that preview renders reflect the pruning accurately.
- DCC importers may be able to make more aggressive optimizations
for interactive processing and display if they can discover the proxy
for a given render prim.
- With a little more work, a Hydra-based application will be able
to map a picked proxy prim back to its render geometry for selection.
\\note It is only valid to author the proxyPrim relationship on
prims whose purpose is "render".
""",
)
purpose = Attribute(
name = 'purpose',
as_type = 'token',
value = "default",
is_uniform = True,
allowedTokens = ["default", "render", "proxy", "guide"],
docstring = """,
Purpose is a concept we have found useful in our pipeline for classifying geometry into categories that can each be independently
included or excluded from traversals of prims on a stage, such as
rendering or bounding-box computation traversals. The fallback
purpose, default indicates that a prim has "no special purpose"
and should generally be included in all traversals. Subtrees rooted
at a prim with purpose render should generally only be included
when performing a "final quality" render. Subtrees rooted at a prim
with purpose proxy should generally only be included when
performing a lightweight proxy render (such as openGL). Finally,
subtrees rooted at a prim with purpose guide should generally
only be included when an interactive application has been explicitly
asked to "show guides".
In the previous paragraph, when we say "subtrees rooted at a prim",
we mean the most ancestral or tallest subtree that has an authored,
non-default opinion. If the purpose of </RootPrim> is set to
"render", then the effective purpose of </RootPrim/ChildPrim> will
be "render" even if that prim has a different authored value for
purpose. <b>See ComputePurpose() for details of how purpose
inherits down namespace</b>.
As demonstrated in UsdGeomBBoxCache, a traverser should be ready to
accept combinations of included purposes as an input.
Purpose render can be useful in creating "light blocker"
geometry for raytracing interior scenes. Purposes render and
proxy can be used together to partition a complicated model
into a lightweight proxy representation for interactive use, and a
fully realized, potentially quite heavy, representation for rendering.
One can use UsdVariantSets to create proxy representations, but doing
so requires that we recompose parts of the UsdStage in order to change
to a different runtime level of detail, and that does not interact
well with the needs of multithreaded rendering. Purpose provides us with
a better tool for dynamic, interactive complexity management.
""",
)
radius = Attribute(
name = 'radius',
as_type = 'float',
value = 0.5,
docstring = """,
Radius of the cylinder.
""",
)
specular = Attribute(
name = 'specular',
as_type = 'float',
value = 1,
displayName = "Specular Multiplier",
docstring = """,
A multiplier for the effect of this light on the specular response of materials. This is a non-physical control.
""",
)
treatAsLine = Attribute(
name = 'treatAsLine',
as_type = 'bool',
value = 0,
docstring = """,
A hint that this light can be treated as a 'line' light (effectively, a zero-radius cylinder) by renderers that
benefit from non-area lighting. Renderers that only support
area lights can disregard this.
""",
)
visibility = Attribute(
name = 'visibility',
as_type = 'token',
value = "inherited",
allowedTokens = ["inherited", "invisible"],
docstring = """,
Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is
animatable, allowing a sub-tree of geometry to be present for some
segment of a shot, and absent from others; unlike the action of
deactivating geometry prims, invisible geometry is still
available for inspection, for positioning, for defining volumes, etc.
""",
)
token = Attribute(
name = 'token',
as_type = 'uniform',
docstring = """,
Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while
visiting a UsdStage's prims in a graph traversal that will effect
the desired positioning for this prim and its descendant prims.
You should rarely, if ever, need to manipulate this attribute directly.
It is managed by the AddXformOp(), SetResetXformStack(), and
SetXformOpOrder(), and consulted by GetOrderedXformOps() and
GetLocalTransformation().
""",
)
class GeometryLight(Prim):
"""
Light emitted outward from a geometric prim (UsdGeomGprim), which is typically a mesh.
"""
as_type = "GeometryLight"
apiSchemas = Property(name='apiSchemas', values=["CollectionAPI:lightLink", "CollectionAPI:shadowLink"])
color = Attribute(
name = 'color',
as_type = 'color3f',
value = (1, 1, 1),
docstring = """,
The color of emitted light, in energy-linear terms.
""",
)
colorTemperature = Attribute(
name = 'colorTemperature',
as_type = 'float',
value = 6500,
displayName = "Color Temperature",
docstring = """,
Color temperature, in degrees Kelvin, representing the white point. The default is a common white point, D65. Lower
values are warmer and higher values are cooler. The valid range
is from 1000 to 10000. Only takes effect when
enableColorTemperature is set to true. When active, the
computed result multiplies against the color attribute.
See UsdLuxBlackbodyTemperatureAsRgb().
""",
)
diffuse = Attribute(
name = 'diffuse',
as_type = 'float',
value = 1,
displayName = "Diffuse Multiplier",
docstring = """,
A multiplier for the effect of this light on the diffuse response of materials. This is a non-physical control.
""",
)
enableColorTemperature = Attribute(
name = 'enableColorTemperature',
as_type = 'bool',
value = 0,
displayName = "Enable Color Temperature",
docstring = """,
Enables using colorTemperature.
""",
)
exposure = Attribute(
name = 'exposure',
as_type = 'float',
value = 0,
docstring = """,
Scales the power of the light exponentially as a power of 2 (similar to an F-stop control over exposure). The result
is multiplied against the intensity.
""",
)
filters = Attribute(
name = 'filters',
as_type = 'rel',
docstring = """,
Relationship to the light filters that apply to this light.
""",
)
geometry = Attribute(
name = 'geometry',
as_type = 'rel',
docstring = """,
Relationship to the geometry to use as the light source.
""",
)
intensity = Attribute(
name = 'intensity',
as_type = 'float',
value = 1,
docstring = """,
Scales the power of the light linearly.
""",
)
normalize = Attribute(
name = 'normalize',
as_type = 'bool',
value = 0,
displayName = "Normalize Power",
docstring = """,
Normalizes power by the surface area of the light. This makes it easier to independently adjust the power and shape
of the light, by causing the power to not vary with the area or
angular size of the light.
""",
)
proxyPrim = Attribute(
name = 'proxyPrim',
as_type = 'rel',
docstring = """,
The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target)
purpose="proxy" prim. This is entirely optional, but can be
useful in several scenarios:
- In a pipeline that does pruning (for complexity management)
by deactivating prims composed from asset references, when we
deactivate a purpose="render" prim, we will be able to discover
and additionally deactivate its associated purpose="proxy" prim,
so that preview renders reflect the pruning accurately.
- DCC importers may be able to make more aggressive optimizations
for interactive processing and display if they can discover the proxy
for a given render prim.
- With a little more work, a Hydra-based application will be able
to map a picked proxy prim back to its render geometry for selection.
\\note It is only valid to author the proxyPrim relationship on
prims whose purpose is "render".
""",
)
purpose = Attribute(
name = 'purpose',
as_type = 'token',
value = "default",
is_uniform = True,
allowedTokens = ["default", "render", "proxy", "guide"],
docstring = """,
Purpose is a concept we have found useful in our pipeline for classifying geometry into categories that can each be independently
included or excluded from traversals of prims on a stage, such as
rendering or bounding-box computation traversals. The fallback
purpose, default indicates that a prim has "no special purpose"
and should generally be included in all traversals. Subtrees rooted
at a prim with purpose render should generally only be included
when performing a "final quality" render. Subtrees rooted at a prim
with purpose proxy should generally only be included when
performing a lightweight proxy render (such as openGL). Finally,
subtrees rooted at a prim with purpose guide should generally
only be included when an interactive application has been explicitly
asked to "show guides".
In the previous paragraph, when we say "subtrees rooted at a prim",
we mean the most ancestral or tallest subtree that has an authored,
non-default opinion. If the purpose of </RootPrim> is set to
"render", then the effective purpose of </RootPrim/ChildPrim> will
be "render" even if that prim has a different authored value for
purpose. <b>See ComputePurpose() for details of how purpose
inherits down namespace</b>.
As demonstrated in UsdGeomBBoxCache, a traverser should be ready to
accept combinations of included purposes as an input.
Purpose render can be useful in creating "light blocker"
geometry for raytracing interior scenes. Purposes render and
proxy can be used together to partition a complicated model
into a lightweight proxy representation for interactive use, and a
fully realized, potentially quite heavy, representation for rendering.
One can use UsdVariantSets to create proxy representations, but doing
so requires that we recompose parts of the UsdStage in order to change
to a different runtime level of detail, and that does not interact
well with the needs of multithreaded rendering. Purpose provides us with
a better tool for dynamic, interactive complexity management.
""",
)
specular = Attribute(
name = 'specular',
as_type = 'float',
value = 1,
displayName = "Specular Multiplier",
docstring = """,
A multiplier for the effect of this light on the specular response of materials. This is a non-physical control.
""",
)
visibility = Attribute(
name = 'visibility',
as_type = 'token',
value = "inherited",
allowedTokens = ["inherited", "invisible"],
docstring = """,
Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is
animatable, allowing a sub-tree of geometry to be present for some
segment of a shot, and absent from others; unlike the action of
deactivating geometry prims, invisible geometry is still
available for inspection, for positioning, for defining volumes, etc.
""",
)
token = Attribute(
name = 'token',
as_type = 'uniform',
docstring = """,
Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while
visiting a UsdStage's prims in a graph traversal that will effect
the desired positioning for this prim and its descendant prims.
You should rarely, if ever, need to manipulate this attribute directly.
It is managed by the AddXformOp(), SetResetXformStack(), and
SetXformOpOrder(), and consulted by GetOrderedXformOps() and
GetLocalTransformation().
""",
)
class DomeLight(Prim):
"""
Light emitted inward from a distant external environment, such as a sky or IBL light probe.
"""
as_type = "DomeLight"
apiSchemas = Property(name='apiSchemas', values=["CollectionAPI:lightLink", "CollectionAPI:shadowLink"])
color = Attribute(
name = 'color',
as_type = 'color3f',
value = (1, 1, 1),
docstring = """,
The color of emitted light, in energy-linear terms.
""",
)
colorTemperature = Attribute(
name = 'colorTemperature',
as_type = 'float',
value = 6500,
displayName = "Color Temperature",
docstring = """,
Color temperature, in degrees Kelvin, representing the white point. The default is a common white point, D65. Lower
values are warmer and higher values are cooler. The valid range
is from 1000 to 10000. Only takes effect when
enableColorTemperature is set to true. When active, the
computed result multiplies against the color attribute.
See UsdLuxBlackbodyTemperatureAsRgb().
""",
)
diffuse = Attribute(
name = 'diffuse',
as_type = 'float',
value = 1,
displayName = "Diffuse Multiplier",
docstring = """,
A multiplier for the effect of this light on the diffuse response of materials. This is a non-physical control.
""",
)
enableColorTemperature = Attribute(
name = 'enableColorTemperature',
as_type = 'bool',
value = 0,
displayName = "Enable Color Temperature",
docstring = """,
Enables using colorTemperature.
""",
)
exposure = Attribute(
name = 'exposure',
as_type = 'float',
value = 0,
docstring = """,
Scales the power of the light exponentially as a power of 2 (similar to an F-stop control over exposure). The result
is multiplied against the intensity.
""",
)
filters = Attribute(
name = 'filters',
as_type = 'rel',
docstring = """,
Relationship to the light filters that apply to this light.
""",
)
intensity = Attribute(
name = 'intensity',
as_type = 'float',
value = 1,
docstring = """,
Scales the power of the light linearly.
""",
)
normalize = Attribute(
name = 'normalize',
as_type = 'bool',
value = 0,
displayName = "Normalize Power",
docstring = """,
Normalizes power by the surface area of the light. This makes it easier to independently adjust the power and shape
of the light, by causing the power to not vary with the area or
angular size of the light.
""",
)
portals = Attribute(
name = 'portals',
as_type = 'rel',
docstring = """,
Optional portals to guide light sampling.
""",
)
proxyPrim = Attribute(
name = 'proxyPrim',
as_type = 'rel',
docstring = """,
The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target)
purpose="proxy" prim. This is entirely optional, but can be
useful in several scenarios:
- In a pipeline that does pruning (for complexity management)
by deactivating prims composed from asset references, when we
deactivate a purpose="render" prim, we will be able to discover
and additionally deactivate its associated purpose="proxy" prim,
so that preview renders reflect the pruning accurately.
- DCC importers may be able to make more aggressive optimizations
for interactive processing and display if they can discover the proxy
for a given render prim.
- With a little more work, a Hydra-based application will be able
to map a picked proxy prim back to its render geometry for selection.
\\note It is only valid to author the proxyPrim relationship on
prims whose purpose is "render".
""",
)
purpose = Attribute(
name = 'purpose',
as_type = 'token',
value = "default",
is_uniform = True,
allowedTokens = ["default", "render", "proxy", "guide"],
docstring = """,
Purpose is a concept we have found useful in our pipeline for classifying geometry into categories that can each be independently
included or excluded from traversals of prims on a stage, such as
rendering or bounding-box computation traversals. The fallback
purpose, default indicates that a prim has "no special purpose"
and should generally be included in all traversals. Subtrees rooted
at a prim with purpose render should generally only be included
when performing a "final quality" render. Subtrees rooted at a prim
with purpose proxy should generally only be included when
performing a lightweight proxy render (such as openGL). Finally,
subtrees rooted at a prim with purpose guide should generally
only be included when an interactive application has been explicitly
asked to "show guides".
In the previous paragraph, when we say "subtrees rooted at a prim",
we mean the most ancestral or tallest subtree that has an authored,
non-default opinion. If the purpose of </RootPrim> is set to
"render", then the effective purpose of </RootPrim/ChildPrim> will
be "render" even if that prim has a different authored value for
purpose. <b>See ComputePurpose() for details of how purpose
inherits down namespace</b>.
As demonstrated in UsdGeomBBoxCache, a traverser should be ready to
accept combinations of included purposes as an input.
Purpose render can be useful in creating "light blocker"
geometry for raytracing interior scenes. Purposes render and
proxy can be used together to partition a complicated model
into a lightweight proxy representation for interactive use, and a
fully realized, potentially quite heavy, representation for rendering.
One can use UsdVariantSets to create proxy representations, but doing
so requires that we recompose parts of the UsdStage in order to change
to a different runtime level of detail, and that does not interact
well with the needs of multithreaded rendering. Purpose provides us with
a better tool for dynamic, interactive complexity management.
""",
)
specular = Attribute(
name = 'specular',
as_type = 'float',
value = 1,
displayName = "Specular Multiplier",
docstring = """,
A multiplier for the effect of this light on the specular response of materials. This is a non-physical control.
""",
)
file_ = Attribute(
name = 'texture:file',
as_type = 'asset',
docstring = """,
A color texture to use on the dome, such as an HDR (high dynamic range) texture intended for IBL (image based lighting).
""",
)
format_ = Attribute(
name = 'texture:format',
as_type = 'token',
value = "automatic",
allowedTokens = ["automatic", "latlong", "mirroredBall", "angular", "cubeMapVerticalCross"],
docstring = """,
Specifies the parameterization of the color map file. Valid values are:
- automatic: Tries to determine the layout from the file itself.
For example, Renderman texture files embed an explicit
parameterization.
- latlong: Latitude as X, longitude as Y.
- mirroredBall: An image of the environment reflected in a
sphere, using an implicitly orthogonal projection.
- angular: Similar to mirroredBall but the radial dimension
is mapped linearly to the angle, providing better sampling
at the edges.
- cubeMapVerticalCross: A cube map with faces laid out as a
vertical cross.
""",
)
visibility = Attribute(
name = 'visibility',
as_type = 'token',
value = "inherited",
allowedTokens = ["inherited", "invisible"],
docstring = """,
Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is
animatable, allowing a sub-tree of geometry to be present for some
segment of a shot, and absent from others; unlike the action of
deactivating geometry prims, invisible geometry is still
available for inspection, for positioning, for defining volumes, etc.
""",
)
token = Attribute(
name = 'token',
as_type = 'uniform',
docstring = """,
Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while
visiting a UsdStage's prims in a graph traversal that will effect
the desired positioning for this prim and its descendant prims.
You should rarely, if ever, need to manipulate this attribute directly.
It is managed by the AddXformOp(), SetResetXformStack(), and
SetXformOpOrder(), and consulted by GetOrderedXformOps() and
GetLocalTransformation().
""",
)
class LightPortal(Prim):
"""
A rectangular portal in the local XY plane that guides sampling of a dome light. Transmits light in the -Z direction.
The rectangle is 1 unit in length.
"""
as_type = "LightPortal"
proxyPrim = Attribute(
name = 'proxyPrim',
as_type = 'rel',
docstring = """,
The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target)
purpose="proxy" prim. This is entirely optional, but can be
useful in several scenarios:
- In a pipeline that does pruning (for complexity management)
by deactivating prims composed from asset references, when we
deactivate a purpose="render" prim, we will be able to discover
and additionally deactivate its associated purpose="proxy" prim,
so that preview renders reflect the pruning accurately.
- DCC importers may be able to make more aggressive optimizations
for interactive processing and display if they can discover the proxy
for a given render prim.
- With a little more work, a Hydra-based application will be able
to map a picked proxy prim back to its render geometry for selection.
\\note It is only valid to author the proxyPrim relationship on
prims whose purpose is "render".
""",
)
purpose = Attribute(
name = 'purpose',
as_type = 'token',
value = "default",
is_uniform = True,
allowedTokens = ["default", "render", "proxy", "guide"],
docstring = """,
Purpose is a concept we have found useful in our pipeline for classifying geometry into categories that can each be independently
included or excluded from traversals of prims on a stage, such as
rendering or bounding-box computation traversals. The fallback
purpose, default indicates that a prim has "no special purpose"
and should generally be included in all traversals. Subtrees rooted
at a prim with purpose render should generally only be included
when performing a "final quality" render. Subtrees rooted at a prim
with purpose proxy should generally only be included when
performing a lightweight proxy render (such as openGL). Finally,
subtrees rooted at a prim with purpose guide should generally
only be included when an interactive application has been explicitly
asked to "show guides".
In the previous paragraph, when we say "subtrees rooted at a prim",
we mean the most ancestral or tallest subtree that has an authored,
non-default opinion. If the purpose of </RootPrim> is set to
"render", then the effective purpose of </RootPrim/ChildPrim> will
be "render" even if that prim has a different authored value for
purpose. <b>See ComputePurpose() for details of how purpose
inherits down namespace</b>.
As demonstrated in UsdGeomBBoxCache, a traverser should be ready to
accept combinations of included purposes as an input.
Purpose render can be useful in creating "light blocker"
geometry for raytracing interior scenes. Purposes render and
proxy can be used together to partition a complicated model
into a lightweight proxy representation for interactive use, and a
fully realized, potentially quite heavy, representation for rendering.
One can use UsdVariantSets to create proxy representations, but doing
so requires that we recompose parts of the UsdStage in order to change
to a different runtime level of detail, and that does not interact
well with the needs of multithreaded rendering. Purpose provides us with
a better tool for dynamic, interactive complexity management.
""",
)
visibility = Attribute(
name = 'visibility',
as_type = 'token',
value = "inherited",
allowedTokens = ["inherited", "invisible"],
docstring = """,
Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is
animatable, allowing a sub-tree of geometry to be present for some
segment of a shot, and absent from others; unlike the action of
deactivating geometry prims, invisible geometry is still
available for inspection, for positioning, for defining volumes, etc.
""",
)
token = Attribute(
name = 'token',
as_type = 'uniform',
docstring = """,
Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while
visiting a UsdStage's prims in a graph traversal that will effect
the desired positioning for this prim and its descendant prims.
You should rarely, if ever, need to manipulate this attribute directly.
It is managed by the AddXformOp(), SetResetXformStack(), and
SetXformOpOrder(), and consulted by GetOrderedXformOps() and
GetLocalTransformation().
""",
)
| 41.61055
| 147
| 0.639647
| 10,767
| 90,711
| 5.373456
| 0.070215
| 0.015556
| 0.010267
| 0.014104
| 0.858286
| 0.853792
| 0.844217
| 0.839671
| 0.835938
| 0.833051
| 0
| 0.004835
| 0.295521
| 90,711
| 2,180
| 148
| 41.61055
| 0.900523
| 0.075404
| 0
| 0.853884
| 0
| 0.043455
| 0.757367
| 0.021413
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.005975
| 0
| 0.099403
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
f165c1dd3d37d8e96b0fb6a8b24a4a826714a015
| 6,242
|
py
|
Python
|
expert_data.py
|
jdkelly199/libmelee-openai-gym
|
f6692b2c2318135aba4bfade4516c48b6414cae0
|
[
"MIT"
] | null | null | null |
expert_data.py
|
jdkelly199/libmelee-openai-gym
|
f6692b2c2318135aba4bfade4516c48b6414cae0
|
[
"MIT"
] | null | null | null |
expert_data.py
|
jdkelly199/libmelee-openai-gym
|
f6692b2c2318135aba4bfade4516c48b6414cae0
|
[
"MIT"
] | null | null | null |
from stable_baselines.gail import generate_expert_traj
from melee_gym import MeleeEnv
import melee
env = MeleeEnv(ai=1, cpu=1)
def get_action(_obs):
controller = env.get_gamestate().players[1].controller_state
print(controller)
if(controller.button[melee.enums.Button.BUTTON_A]):
if (abs(0.5 - controller.main_stick[1]) > abs(0.5 - controller.main_stick[0]) and controller.main_stick[1] > 0.5):
# Up
return 6
elif (abs(0.5 - controller.main_stick[1]) > abs(0.5 - controller.main_stick[0]) and controller.main_stick[1] < 0.5):
# Down
return 7
elif (abs(0.5 - controller.main_stick[0]) > abs(0.5 - controller.main_stick[1]) and controller.main_stick[0] > 0.5):
# Left
return 8
elif (abs(0.5 - controller.main_stick[0]) > abs(0.5 - controller.main_stick[1]) and controller.main_stick[0] < 0.5):
# Right
return 9
else:
# Neural
return 5
elif (controller.button[melee.enums.Button.BUTTON_B]):
if (abs(0.5 - controller.main_stick[1]) > abs(
0.5 - controller.main_stick[0]) and
controller.main_stick[1] > 0.5):
# Up
return 11
elif (abs(0.5 - controller.main_stick[1]) > abs(
0.5 - controller.main_stick[0]) and
controller.main_stick[1] < 0.5):
# Down
return 12
elif (abs(0.5 - controller.main_stick[0]) > abs(
0.5 - controller.main_stick[1]) and
controller.main_stick[0] > 0.5):
# Left
return 13
elif (abs(0.5 - controller.main_stick[0]) > abs(
0.5 - controller.main_stick[1]) and
controller.main_stick[0] < 0.5):
# Right
return 14
else:
# Neural
return 10
elif (controller.button[melee.enums.Button.BUTTON_X]):
if (abs(0.5 - controller.main_stick[1]) > abs(
0.5 - controller.main_stick[0]) and
controller.main_stick[1] > 0.5):
# Up
return 16
elif (abs(0.5 - controller.main_stick[1]) > abs(
0.5 - controller.main_stick[0]) and
controller.main_stick[1] < 0.5):
# Down
return 17
elif (abs(0.5 - controller.main_stick[0]) > abs(
0.5 - controller.main_stick[1]) and
controller.main_stick[0] > 0.5):
# Left
return 18
elif (abs(0.5 - controller.main_stick[0]) > abs(
0.5 - controller.main_stick[1]) and
controller.main_stick[0] < 0.5):
# Right
return 19
else:
# Neural
return 15
elif (controller.button[melee.enums.Button.BUTTON_Y]):
if (abs(0.5 - controller.main_stick[1]) > abs(
0.5 - controller.main_stick[0]) and
controller.main_stick[1] > 0.5):
# Up
return 21
elif (abs(0.5 - controller.main_stick[1]) > abs(
0.5 - controller.main_stick[0]) and
controller.main_stick[1] < 0.5):
# Down
return 22
elif (abs(0.5 - controller.main_stick[0]) > abs(
0.5 - controller.main_stick[1]) and
controller.main_stick[0] > 0.5):
# Left
return 23
elif (abs(0.5 - controller.main_stick[0]) > abs(
0.5 - controller.main_stick[1]) and
controller.main_stick[0] < 0.5):
# Right
return 24
else:
# Neural
return 20
elif (controller.button[melee.enums.Button.BUTTON_L]):
if (abs(0.5 - controller.main_stick[1]) > abs(
0.5 - controller.main_stick[0]) and
controller.main_stick[1] < 0.5):
# Down
return 26
elif (abs(0.5 - controller.main_stick[0]) > abs(
0.5 - controller.main_stick[1]) and
controller.main_stick[0] > 0.5):
# Left
return 27
elif (abs(0.5 - controller.main_stick[0]) > abs(
0.5 - controller.main_stick[1]) and
controller.main_stick[0] < 0.5):
# Right
return 28
else:
# Neural
return 25
elif (controller.button[melee.enums.Button.BUTTON_R]):
if (abs(0.5 - controller.main_stick[1]) > abs(
0.5 - controller.main_stick[0]) and
controller.main_stick[1] < 0.5):
# Down
return 30
elif (abs(0.5 - controller.main_stick[0]) > abs(
0.5 - controller.main_stick[1]) and
controller.main_stick[0] > 0.5):
# Left
return 31
elif (abs(0.5 - controller.main_stick[0]) > abs(
0.5 - controller.main_stick[1]) and
controller.main_stick[0] < 0.5):
# Right
return 32
else:
# Neural
return 29
elif (controller.button[melee.enums.Button.BUTTON_Z]):
#grab
return 33
#no button
elif (abs(0.5 - controller.main_stick[1]) > abs(
0.5 - controller.main_stick[0]) and
controller.main_stick[1] > 0.5):
# Up
return 1
elif (abs(0.5 - controller.main_stick[1]) > abs(
0.5 - controller.main_stick[0]) and
controller.main_stick[1] < 0.5):
# Down
return 2
elif (abs(0.5 - controller.main_stick[0]) > abs(
0.5 - controller.main_stick[1]) and
controller.main_stick[0] > 0.5):
# Left
return 3
elif (abs(0.5 - controller.main_stick[0]) > abs(
0.5 - controller.main_stick[1]) and
controller.main_stick[0] < 0.5):
# Right
return 4
else:
# Neural
return 0
generate_expert_traj(get_action, 'expert_data/expert_kirby_ian', env, n_episodes=100)
| 36.934911
| 125
| 0.501762
| 788
| 6,242
| 3.847716
| 0.110406
| 0.051451
| 0.488786
| 0.257256
| 0.853892
| 0.853892
| 0.841359
| 0.758245
| 0.758245
| 0.758245
| 0
| 0.077122
| 0.380968
| 6,242
| 168
| 126
| 37.154762
| 0.707557
| 0.030119
| 0
| 0.579365
| 1
| 0
| 0.004786
| 0.004786
| 0
| 0
| 0
| 0
| 0
| 1
| 0.007937
| false
| 0
| 0.02381
| 0
| 0.301587
| 0.007937
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
f16c55cec043c8c1995e3bcf0cfc201156357241
| 16,345
|
py
|
Python
|
tests/analyses/allocation_calc_integration_test.py
|
weibullguy/ramstk
|
3ec41d7e2933045a7a8028aed6c6b04365495095
|
[
"BSD-3-Clause"
] | 4
|
2018-08-26T09:11:36.000Z
|
2019-05-24T12:01:02.000Z
|
tests/analyses/allocation_calc_integration_test.py
|
weibullguy/ramstk
|
3ec41d7e2933045a7a8028aed6c6b04365495095
|
[
"BSD-3-Clause"
] | 52
|
2018-08-24T12:51:22.000Z
|
2020-12-28T04:59:42.000Z
|
tests/analyses/allocation_calc_integration_test.py
|
weibullguy/ramstk
|
3ec41d7e2933045a7a8028aed6c6b04365495095
|
[
"BSD-3-Clause"
] | 1
|
2018-10-11T07:57:55.000Z
|
2018-10-11T07:57:55.000Z
|
# pylint: skip-file
# type: ignore
# -*- coding: utf-8 -*-
#
# tests.analyses.allocation_integration_test.py is part of The RAMSTK Project
#
# All rights reserved.
# Copyright since 2007 Doyle "weibullguy" Rowland doyle.rowland <AT> reliaqual <DOT> com
"""Test class for the reliability allocation module."""
# Standard Library Imports
import copy
# Third Party Imports
import pytest
from pubsub import pub
# RAMSTK Package Imports
from ramstk.analyses import allocation
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_agree_apportionment_zero_sub_elements(
test_attributes_allocation,
):
"""_calculate_agree_apportionment() should raise a ZeroDivisionError when passed
n_sub_elements=0."""
def on_message(error_message):
assert error_message == (
"Failed to apportion reliability using the AGREE "
"method; one or more inputs had a value of 0.0. "
"Subsystem mission time=100.0, weight "
"factor=1.0, # of subsystems=4, # of "
"subelements=0."
)
pub.subscribe(on_message, "fail_allocate_reliability")
test_attributes_allocation["mission_time"] = 100.0
test_attributes_allocation["weight_factor"] = 1
test_attributes_allocation["n_sub_systems"] = 4
test_attributes_allocation["n_sub_elements"] = 0
allocation._calculate_agree_apportionment(
0.999,
test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_agree_apportionment_negative_parent_goal(
test_attributes_allocation,
):
"""_calculate_agree_apportionment() should raise a ValueError when passed a
parent_goal<0.0."""
def on_message(error_message):
assert error_message == (
"Failed to apportion reliability using the AGREE "
"method; zero or negative value passed for "
"parent hardware item's goal. Parent goal is "
"-0.999."
)
pub.subscribe(on_message, "fail_allocate_reliability")
test_attributes_allocation["mission_time"] = 100.0
test_attributes_allocation["weight_factor"] = 1
test_attributes_allocation["n_sub_systems"] = 4
test_attributes_allocation["n_sub_elements"] = 2
allocation._calculate_agree_apportionment(
-0.999,
test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_arinc_apportionment_zero_weight_factor(
test_attributes_allocation,
):
"""_calculate_arinc_apportionment() should raise a ZeroDivisionError when passed a
weight factor=0.0."""
def on_message(error_message):
assert error_message == (
"Failed to apportion reliability using the ARINC "
"method; one or more inputs had a value of 0.0. "
"Weight factor=0.0 and parent "
"goal=4.82e-05."
)
pub.subscribe(on_message, "fail_allocate_reliability")
test_attributes_allocation["mission_time"] = 100.0
test_attributes_allocation["weight_factor"] = 0.0
allocation._calculate_arinc_apportionment(
0.0000482,
test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_arinc_apportionment_zero_parent_goal(
test_attributes_allocation,
):
"""_calculate_arinc_apportionment() should raise a ZeroDivisionError when passed a
parent goal=0.0."""
def on_message(error_message):
assert error_message == (
"Failed to apportion reliability using the ARINC "
"method; one or more inputs had a value of 0.0. "
"Weight factor=0.025730994152 and parent "
"goal=0.0."
)
pub.subscribe(on_message, "fail_allocate_reliability")
test_attributes_allocation["mission_time"] = 100.0
test_attributes_allocation["weight_factor"] = 0.025730994152
allocation._calculate_arinc_apportionment(
0.0,
test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_equal_zero_weight_factor(
test_attributes_allocation,
):
"""_calculate_equal_apportionment() should raise a ZeroDivisionError if passed
weight factor=0."""
def on_message(error_message):
assert error_message == (
"Failed to apportion reliability using the equal "
"method; one or more inputs had a value of 0.0. "
"Mission time=100.0 and weight "
"factor=0.0."
)
pub.subscribe(on_message, "fail_allocate_reliability")
test_attributes_allocation["mission_time"] = 100.0
test_attributes_allocation["weight_factor"] = 0.0
allocation._calculate_equal_apportionment(
0.999,
test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_equal_zero_mission_time(
test_attributes_allocation,
):
"""_calculate_equal_apportionment() should raise a ZeroDivisionError if passed
mission_time=0.0."""
def on_message(error_message):
assert error_message == (
"Failed to apportion reliability using the equal "
"method; one or more inputs had a value of 0.0. "
"Mission time=0.0 and weight "
"factor=0.3333333333333333."
)
pub.subscribe(on_message, "fail_allocate_reliability")
test_attributes_allocation["mission_time"] = 0.0
test_attributes_allocation["weight_factor"] = 1.0 / 3.0
allocation._calculate_equal_apportionment(
0.999,
test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_equal_zero_goal(
test_attributes_allocation,
):
"""_calculate_equal_apportionment() should raise a ValueError if passed a parent
goal=0.0."""
def on_message(error_message):
assert error_message == (
"Failed to apportion reliability using the equal "
"method; a negative or zero value passed for "
"parent hardware item's goal. Parent goal is "
"0.0."
)
pub.subscribe(on_message, "fail_allocate_reliability")
test_attributes_allocation["mission_time"] = 100.0
test_attributes_allocation["weight_factor"] = 1.0 / 3.0
allocation._calculate_equal_apportionment(
0.0,
test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_equal_negative_goal(
test_attributes_allocation,
):
"""_calculate_equal_apportionment() should raise a ValueError if passed a parent
goal<0.0."""
def on_message(error_message):
assert error_message == (
"Failed to apportion reliability using the equal "
"method; a negative or zero value passed for "
"parent hardware item's goal. Parent goal is "
"-0.99995."
)
pub.subscribe(on_message, "fail_allocate_reliability")
test_attributes_allocation["mission_time"] = 100.0
test_attributes_allocation["weight_factor"] = 1.0 / 3.0
allocation._calculate_equal_apportionment(
-0.99995,
test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_foo_zero_cum_weight(
test_attributes_allocation,
):
"""_calculate_foo_apportionment() should raise a ZeroDivisionError if passed a
cumulative weight=0."""
def on_message(error_message):
assert error_message == (
"Failed to apportion reliability using the "
"Feasibility of Objectives method; one or more "
"inputs had a value of 0.0. Intricacy "
"factor=4, state of the art factor=6, operating "
"time factor=9, environment factor=2, "
"cumulative weight=0, parent goal=4.82e-05."
)
pub.subscribe(on_message, "fail_allocate_reliability")
test_attributes_allocation["mission_time"] = 100.0
test_attributes_allocation["int_factor"] = 4
test_attributes_allocation["soa_factor"] = 6
test_attributes_allocation["op_time_factor"] = 9
test_attributes_allocation["env_factor"] = 2
allocation._calculate_foo_apportionment(
0.0000482,
0,
test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_foo_zero_factor(
test_attributes_allocation,
):
"""_calculate_foo_apportionment() should raise a ZeroDivisionError if passed one or
more factors=0."""
def on_message(error_message):
assert error_message == (
"Failed to apportion reliability using the "
"Feasibility of Objectives method; one or more "
"inputs had a value of 0.0. Intricacy "
"factor=4, state of the art factor=0, operating "
"time factor=9, environment factor=2, "
"cumulative weight=3528, parent goal=4.82e-05."
)
pub.subscribe(on_message, "fail_allocate_reliability")
test_attributes_allocation["mission_time"] = 100.0
test_attributes_allocation["int_factor"] = 4
test_attributes_allocation["soa_factor"] = 0
test_attributes_allocation["op_time_factor"] = 9
test_attributes_allocation["env_factor"] = 2
allocation._calculate_foo_apportionment(
0.0000482,
3528,
test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_foo_zero_goal(
test_attributes_allocation,
):
"""_calculate_foo_apportionment() should raise a ZeroDivisionError if passed a
parent goal=0."""
def on_message(error_message):
assert error_message == (
"Failed to apportion reliability using the "
"Feasibility of Objectives method; one or more "
"inputs had a value of 0.0. Intricacy "
"factor=4, state of the art factor=6, operating "
"time factor=9, environment factor=2, "
"cumulative weight=3528, parent goal=0.0."
)
pub.subscribe(on_message, "fail_allocate_reliability")
test_attributes_allocation["mission_time"] = 100.0
test_attributes_allocation["int_factor"] = 4
test_attributes_allocation["soa_factor"] = 6
test_attributes_allocation["op_time_factor"] = 9
test_attributes_allocation["env_factor"] = 2
allocation._calculate_foo_apportionment(
0.0,
3528,
test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
@pytest.mark.parametrize("method_id", [1, 2, 3, 4, 5])
def test_do_allocate_reliability(
method_id,
test_attributes_allocation,
):
"""do_allocate_reliability() should return the allocation attributes dict with
updated values on success."""
test_attributes_allocation["allocation_method_id"] = method_id
test_attributes_allocation["system_hr"] = 0.003418
test_attributes_allocation["hazard_rate"] = 0.00004328
test_attributes_allocation["mission_time"] = 100.0
test_attributes_allocation["duty_cycle"] = 90.0
test_attributes_allocation["n_sub_systems"] = 3
test_attributes_allocation["n_sub_elements"] = 5
test_attributes_allocation["int_factor"] = 4
test_attributes_allocation["soa_factor"] = 6
test_attributes_allocation["op_time_factor"] = 9
test_attributes_allocation["env_factor"] = 2
test_attributes_allocation["weight_factor"] = 1 / 3
test_attributes_allocation["goal_measure_id"] = 1
test_attributes_allocation["reliability_goal"] = 0.995
def on_message(attributes):
assert isinstance(attributes, dict)
assert attributes["mtbf_alloc"] == pytest.approx(
{
2: 51274.34572286,
3: 1113.48385028,
1: 299849.97498753,
4: 169432.91839557,
5: 0.0,
}[attributes["allocation_method_id"]]
)
assert attributes["hazard_rate_alloc"] == pytest.approx(
{
2: 1.95029305e-05,
3: 0.00089808218,
1: 3.33500111e-06,
4: 5.90204082e-06,
5: 0.0,
}[attributes["allocation_method_id"]]
)
assert attributes["reliability_alloc"] == pytest.approx(
{2: 0.99824628, 3: 0.91410648, 1: 0.99966656, 4: 0.99940997, 5: 1.0}[
attributes["allocation_method_id"]
]
)
pub.subscribe(on_message, "succeed_allocate_reliability")
if method_id == 1:
_goal = 0.999
test_attributes_allocation["weight_factor"] = 1 / 3
elif method_id == 2:
_goal = 0.999
test_attributes_allocation["weight_factor"] = 0.95
elif method_id == 3:
_goal = 0.0058621
test_attributes_allocation["weight_factor"] = 0.00058621 / 0.0038264
elif method_id == 4:
_goal = 0.0000482
elif method_id == 5:
_goal = 0.99975
allocation.do_allocate_reliability(
_goal,
3528,
**test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_goals_negative_reliability(
test_attributes_allocation,
):
"""calulate_goals() should raise a ValueError when passed a negative reliability
goal."""
test_attributes_allocation["goal_measure_id"] = 1
test_attributes_allocation["reliability_goal"] = -0.99975
def on_message(error_message):
assert error_message == (
"Failed to calculate the MTBF and hazard rate "
"goals given the reliability goal. Reliability "
"goal=-0.99975."
)
pub.subscribe(on_message, "fail_calculate_allocation_goal")
allocation.do_calculate_goals(
**test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_goals_zero_reliability_goal(
test_attributes_allocation,
):
"""calulate_goals() should raise a ValueError when passed a reliability
goal=0.0."""
test_attributes_allocation["goal_measure_id"] = 1
test_attributes_allocation["reliability_goal"] = 0.0
def on_message(error_message):
assert error_message == (
"Failed to calculate the MTBF and hazard rate "
"goals given the reliability goal. Reliability "
"goal=0.0."
)
pub.subscribe(on_message, "fail_calculate_allocation_goal")
allocation.do_calculate_goals(
**test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_goals_zero_hazard_rate_goal(
test_attributes_allocation,
):
"""calulate_goals() should raise a ZeroDivisionError when passed a hazard rate
goal=0.0."""
test_attributes_allocation["goal_measure_id"] = 2
test_attributes_allocation["hazard_rate_goal"] = 0.0
def on_message(error_message):
assert error_message == (
"Failed to calculate the MTBF and reliability "
"goals given the hazard rate goal. Hazard rate "
"goal=0.0."
)
pub.subscribe(on_message, "fail_calculate_allocation_goal")
allocation.do_calculate_goals(
**test_attributes_allocation,
)
@pytest.mark.integration
@pytest.mark.usefixtures("test_attributes_allocation")
def test_calculate_goals_zero_mtbf_goal(
test_attributes_allocation,
):
"""calulate_goals() should raise a ZeroDivisionError when passed a mtbf
goal=0.0."""
test_attributes_allocation["goal_measure_id"] = 3
test_attributes_allocation["mtbf_goal"] = 0.0
def on_message(error_message):
assert error_message == (
"Failed to calculate the hazard rate and "
"reliability goals given the MTBF goal. MTBF "
"goal=0.0."
)
pub.subscribe(on_message, "fail_calculate_allocation_goal")
allocation.do_calculate_goals(
**test_attributes_allocation,
)
| 32.62475
| 88
| 0.687366
| 1,921
| 16,345
| 5.54607
| 0.096825
| 0.208372
| 0.243289
| 0.046931
| 0.861085
| 0.82814
| 0.814717
| 0.805237
| 0.796978
| 0.767317
| 0
| 0.045548
| 0.22227
| 16,345
| 500
| 89
| 32.69
| 0.792558
| 0.111471
| 0
| 0.644986
| 0
| 0
| 0.281418
| 0.061686
| 0
| 0
| 0
| 0
| 0.051491
| 1
| 0.086721
| false
| 0.00813
| 0.01084
| 0
| 0.097561
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
f16f78bff988930d95763d3e0fc1a4afb2f9738c
| 258
|
py
|
Python
|
rotkehlchen/tests/fixtures/messages.py
|
coblee/rotki
|
d675f5c2d0df5176337b7b10038524ee74923482
|
[
"BSD-3-Clause"
] | 137
|
2018-03-05T11:53:29.000Z
|
2019-11-03T16:38:42.000Z
|
rotkehlchen/tests/fixtures/messages.py
|
coblee/rotki
|
d675f5c2d0df5176337b7b10038524ee74923482
|
[
"BSD-3-Clause"
] | 385
|
2018-03-08T12:43:41.000Z
|
2019-11-10T09:15:36.000Z
|
rotkehlchen/tests/fixtures/messages.py
|
coblee/rotki
|
d675f5c2d0df5176337b7b10038524ee74923482
|
[
"BSD-3-Clause"
] | 59
|
2018-03-08T10:08:27.000Z
|
2019-10-26T11:30:44.000Z
|
import pytest
from rotkehlchen.user_messages import MessagesAggregator
@pytest.fixture(scope='session')
def messages_aggregator():
return MessagesAggregator()
@pytest.fixture
def function_scope_messages_aggregator():
return MessagesAggregator()
| 18.428571
| 56
| 0.810078
| 26
| 258
| 7.846154
| 0.538462
| 0.235294
| 0.303922
| 0.411765
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.112403
| 258
| 13
| 57
| 19.846154
| 0.89083
| 0
| 0
| 0.25
| 0
| 0
| 0.027132
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0.25
| 0.25
| 0.75
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 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
|
f18470c4d092cdc642bc5f833c8bfd07bd7a9b27
| 1,004
|
py
|
Python
|
vscode/extensions/magicstack.magicpython-1.0.12/test/calls/call5.py
|
nlimpid/dotfiles
|
b78d08707992f742f984f556fa58349c2ccd095d
|
[
"MIT"
] | 5
|
2017-02-22T10:17:39.000Z
|
2021-04-06T16:36:13.000Z
|
test/calls/call5.py
|
Setonas/MagicSetonas
|
ef76da5f27a0506b194c58072b81424e3ce985d7
|
[
"MIT"
] | 4
|
2019-06-16T09:52:03.000Z
|
2019-08-18T02:11:35.000Z
|
vscode/extensions/magicstack.magicpython-1.0.12/test/calls/call5.py
|
nlimpid/dotfiles
|
b78d08707992f742f984f556fa58349c2ccd095d
|
[
"MIT"
] | 1
|
2020-08-29T02:30:52.000Z
|
2020-08-29T02:30:52.000Z
|
f(*a)
f(**a)
f : meta.function-call.generic.python, meta.function-call.python, source.python
( : meta.function-call.python, punctuation.definition.arguments.begin.python, source.python
* : keyword.operator.unpacking.arguments.python, meta.function-call.python, source.python
a : meta.function-call.arguments.python, meta.function-call.python, source.python
) : meta.function-call.python, punctuation.definition.arguments.end.python, source.python
f : meta.function-call.generic.python, meta.function-call.python, source.python
( : meta.function-call.python, punctuation.definition.arguments.begin.python, source.python
** : keyword.operator.unpacking.arguments.python, meta.function-call.python, source.python
a : meta.function-call.arguments.python, meta.function-call.python, source.python
) : meta.function-call.python, punctuation.definition.arguments.end.python, source.python
| 62.75
| 103
| 0.703187
| 118
| 1,004
| 5.983051
| 0.135593
| 0.23796
| 0.31728
| 0.311615
| 0.994334
| 0.994334
| 0.994334
| 0.994334
| 0.994334
| 0.994334
| 0
| 0
| 0.173307
| 1,004
| 15
| 104
| 66.933333
| 0.850602
| 0
| 0
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
74c5d1001a084f3fc2460b4c0ba5f9bfab5b53a5
| 94
|
py
|
Python
|
project/project/settings/__init__.py
|
DasAllFolks/DjangoPerfTest
|
780c6de43da447435fd6f592f891fc2cb5d8d444
|
[
"Apache-2.0"
] | null | null | null |
project/project/settings/__init__.py
|
DasAllFolks/DjangoPerfTest
|
780c6de43da447435fd6f592f891fc2cb5d8d444
|
[
"Apache-2.0"
] | null | null | null |
project/project/settings/__init__.py
|
DasAllFolks/DjangoPerfTest
|
780c6de43da447435fd6f592f891fc2cb5d8d444
|
[
"Apache-2.0"
] | null | null | null |
from project.settings.base import *
try:
from project.settings.dev import *
except:
pass
| 13.428571
| 36
| 0.744681
| 13
| 94
| 5.384615
| 0.692308
| 0.314286
| 0.542857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.170213
| 94
| 6
| 37
| 15.666667
| 0.897436
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.2
| 0.4
| 0
| 0.4
| 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
| 1
| 1
| 0
| 0
| 0
|
0
| 7
|
2d229d1ea2abf5a9aca4f9b2a8159773c9a6ef38
| 185
|
py
|
Python
|
tests/parser/aggregates.assignment.cyclic.builtin.1.test.py
|
veltri/DLV2
|
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
|
[
"Apache-2.0"
] | null | null | null |
tests/parser/aggregates.assignment.cyclic.builtin.1.test.py
|
veltri/DLV2
|
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
|
[
"Apache-2.0"
] | null | null | null |
tests/parser/aggregates.assignment.cyclic.builtin.1.test.py
|
veltri/DLV2
|
944aaef803aa75e7ec51d7e0c2b0d964687fdd0e
|
[
"Apache-2.0"
] | null | null | null |
input = """
q(1).
p(1,2).
%s(1..3).
r(Z) :- q(X), Z=X+Y, #count{H: s(H), p(H,Z)}=Y."""
output = """
q(1).
p(1,2).
%s(1..3).
r(Z) :- q(X), Z=X+Y, #count{H: s(H), p(H,Z)}=Y."""
| 14.230769
| 50
| 0.351351
| 48
| 185
| 1.354167
| 0.291667
| 0.061538
| 0.092308
| 0.123077
| 0.830769
| 0.830769
| 0.830769
| 0.830769
| 0.830769
| 0.830769
| 0
| 0.067114
| 0.194595
| 185
| 12
| 51
| 15.416667
| 0.369128
| 0
| 0
| 0.8
| 0
| 0.2
| 0.824859
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
2d420cb2de2e3ee3bde49447ce50e1401f7f5e57
| 196
|
py
|
Python
|
tests/__init__.py
|
raghu777/pysolr
|
a351aec53df1f738b8cc0c741761506927687d99
|
[
"BSD-3-Clause"
] | 322
|
2016-02-22T23:02:52.000Z
|
2022-03-21T21:32:30.000Z
|
tests/__init__.py
|
raghu777/pysolr
|
a351aec53df1f738b8cc0c741761506927687d99
|
[
"BSD-3-Clause"
] | 235
|
2016-02-26T11:27:07.000Z
|
2022-02-23T16:42:48.000Z
|
tests/__init__.py
|
raghu777/pysolr
|
a351aec53df1f738b8cc0c741761506927687d99
|
[
"BSD-3-Clause"
] | 146
|
2016-03-04T15:12:40.000Z
|
2022-03-16T21:08:04.000Z
|
# encoding: utf-8
from __future__ import absolute_import, print_function, unicode_literals
from .test_admin import * # NOQA
from .test_client import * # NOQA
from .test_cloud import * # NOQA
| 24.5
| 72
| 0.765306
| 27
| 196
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| 0.171429
| 0.2
| 0.257143
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| 0.163265
| 196
| 7
| 73
| 28
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| 0.153061
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| 0
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0
| 7
|
749f50a5bf0dde969d6947df9520351d89ed7757
| 70,896
|
py
|
Python
|
src/MOSIM/mmi/cosim/MCoSimulationAccess.py
|
dfki-asr/MMIPython-Core
|
2f4b51ffde606c45661d9dbd5153576f919bdb8b
|
[
"MIT"
] | null | null | null |
src/MOSIM/mmi/cosim/MCoSimulationAccess.py
|
dfki-asr/MMIPython-Core
|
2f4b51ffde606c45661d9dbd5153576f919bdb8b
|
[
"MIT"
] | null | null | null |
src/MOSIM/mmi/cosim/MCoSimulationAccess.py
|
dfki-asr/MMIPython-Core
|
2f4b51ffde606c45661d9dbd5153576f919bdb8b
|
[
"MIT"
] | null | null | null |
#
# Autogenerated by Thrift Compiler (0.13.0)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
# options string: py
#
from thrift.Thrift import TType, TMessageType, TFrozenDict, TException, TApplicationException
from thrift.protocol.TProtocol import TProtocolException
from thrift.TRecursive import fix_spec
import sys
import MOSIM.mmi.services.MMIServiceBase
import logging
from .ttypes import *
from thrift.Thrift import TProcessor
from thrift.transport import TTransport
all_structs = []
class Iface(MOSIM.mmi.services.MMIServiceBase.Iface):
def RegisterAtEvent(self, clientAddress, eventType):
"""
Parameters:
- clientAddress
- eventType
"""
pass
def UnregisterAtEvent(self, clientAddress, eventType):
"""
Parameters:
- clientAddress
- eventType
"""
pass
def AssignInstruction(self, instruction, properties):
"""
Parameters:
- instruction
- properties
"""
pass
def Abort(self):
pass
def AbortInstruction(self, instructionID):
"""
Parameters:
- instructionID
"""
pass
def AbortInstructions(self, instructionIDs):
"""
Parameters:
- instructionIDs
"""
pass
def GetHistoryFromTime(self, startTime, endTime, eventType):
"""
Parameters:
- startTime
- endTime
- eventType
"""
pass
def GetHistoryFromFrames(self, fromFrame, toFrame, eventType):
"""
Parameters:
- fromFrame
- toFrame
- eventType
"""
pass
def GetHistory(self, eventType):
"""
Parameters:
- eventType
"""
pass
def GetCurrentEvents(self):
pass
class Client(MOSIM.mmi.services.MMIServiceBase.Client, Iface):
def __init__(self, iprot, oprot=None):
MOSIM.mmi.services.MMIServiceBase.Client.__init__(self, iprot, oprot)
def RegisterAtEvent(self, clientAddress, eventType):
"""
Parameters:
- clientAddress
- eventType
"""
self.send_RegisterAtEvent(clientAddress, eventType)
return self.recv_RegisterAtEvent()
def send_RegisterAtEvent(self, clientAddress, eventType):
self._oprot.writeMessageBegin('RegisterAtEvent', TMessageType.CALL, self._seqid)
args = RegisterAtEvent_args()
args.clientAddress = clientAddress
args.eventType = eventType
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_RegisterAtEvent(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = RegisterAtEvent_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "RegisterAtEvent failed: unknown result")
def UnregisterAtEvent(self, clientAddress, eventType):
"""
Parameters:
- clientAddress
- eventType
"""
self.send_UnregisterAtEvent(clientAddress, eventType)
return self.recv_UnregisterAtEvent()
def send_UnregisterAtEvent(self, clientAddress, eventType):
self._oprot.writeMessageBegin('UnregisterAtEvent', TMessageType.CALL, self._seqid)
args = UnregisterAtEvent_args()
args.clientAddress = clientAddress
args.eventType = eventType
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_UnregisterAtEvent(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = UnregisterAtEvent_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "UnregisterAtEvent failed: unknown result")
def AssignInstruction(self, instruction, properties):
"""
Parameters:
- instruction
- properties
"""
self.send_AssignInstruction(instruction, properties)
return self.recv_AssignInstruction()
def send_AssignInstruction(self, instruction, properties):
self._oprot.writeMessageBegin('AssignInstruction', TMessageType.CALL, self._seqid)
args = AssignInstruction_args()
args.instruction = instruction
args.properties = properties
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_AssignInstruction(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = AssignInstruction_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "AssignInstruction failed: unknown result")
def Abort(self):
self.send_Abort()
return self.recv_Abort()
def send_Abort(self):
self._oprot.writeMessageBegin('Abort', TMessageType.CALL, self._seqid)
args = Abort_args()
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_Abort(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = Abort_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "Abort failed: unknown result")
def AbortInstruction(self, instructionID):
"""
Parameters:
- instructionID
"""
self.send_AbortInstruction(instructionID)
return self.recv_AbortInstruction()
def send_AbortInstruction(self, instructionID):
self._oprot.writeMessageBegin('AbortInstruction', TMessageType.CALL, self._seqid)
args = AbortInstruction_args()
args.instructionID = instructionID
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_AbortInstruction(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = AbortInstruction_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "AbortInstruction failed: unknown result")
def AbortInstructions(self, instructionIDs):
"""
Parameters:
- instructionIDs
"""
self.send_AbortInstructions(instructionIDs)
return self.recv_AbortInstructions()
def send_AbortInstructions(self, instructionIDs):
self._oprot.writeMessageBegin('AbortInstructions', TMessageType.CALL, self._seqid)
args = AbortInstructions_args()
args.instructionIDs = instructionIDs
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_AbortInstructions(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = AbortInstructions_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "AbortInstructions failed: unknown result")
def GetHistoryFromTime(self, startTime, endTime, eventType):
"""
Parameters:
- startTime
- endTime
- eventType
"""
self.send_GetHistoryFromTime(startTime, endTime, eventType)
return self.recv_GetHistoryFromTime()
def send_GetHistoryFromTime(self, startTime, endTime, eventType):
self._oprot.writeMessageBegin('GetHistoryFromTime', TMessageType.CALL, self._seqid)
args = GetHistoryFromTime_args()
args.startTime = startTime
args.endTime = endTime
args.eventType = eventType
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_GetHistoryFromTime(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = GetHistoryFromTime_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "GetHistoryFromTime failed: unknown result")
def GetHistoryFromFrames(self, fromFrame, toFrame, eventType):
"""
Parameters:
- fromFrame
- toFrame
- eventType
"""
self.send_GetHistoryFromFrames(fromFrame, toFrame, eventType)
return self.recv_GetHistoryFromFrames()
def send_GetHistoryFromFrames(self, fromFrame, toFrame, eventType):
self._oprot.writeMessageBegin('GetHistoryFromFrames', TMessageType.CALL, self._seqid)
args = GetHistoryFromFrames_args()
args.fromFrame = fromFrame
args.toFrame = toFrame
args.eventType = eventType
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_GetHistoryFromFrames(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = GetHistoryFromFrames_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "GetHistoryFromFrames failed: unknown result")
def GetHistory(self, eventType):
"""
Parameters:
- eventType
"""
self.send_GetHistory(eventType)
return self.recv_GetHistory()
def send_GetHistory(self, eventType):
self._oprot.writeMessageBegin('GetHistory', TMessageType.CALL, self._seqid)
args = GetHistory_args()
args.eventType = eventType
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_GetHistory(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = GetHistory_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "GetHistory failed: unknown result")
def GetCurrentEvents(self):
self.send_GetCurrentEvents()
return self.recv_GetCurrentEvents()
def send_GetCurrentEvents(self):
self._oprot.writeMessageBegin('GetCurrentEvents', TMessageType.CALL, self._seqid)
args = GetCurrentEvents_args()
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_GetCurrentEvents(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = GetCurrentEvents_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "GetCurrentEvents failed: unknown result")
class Processor(MOSIM.mmi.services.MMIServiceBase.Processor, Iface, TProcessor):
def __init__(self, handler):
MOSIM.mmi.services.MMIServiceBase.Processor.__init__(self, handler)
self._processMap["RegisterAtEvent"] = Processor.process_RegisterAtEvent
self._processMap["UnregisterAtEvent"] = Processor.process_UnregisterAtEvent
self._processMap["AssignInstruction"] = Processor.process_AssignInstruction
self._processMap["Abort"] = Processor.process_Abort
self._processMap["AbortInstruction"] = Processor.process_AbortInstruction
self._processMap["AbortInstructions"] = Processor.process_AbortInstructions
self._processMap["GetHistoryFromTime"] = Processor.process_GetHistoryFromTime
self._processMap["GetHistoryFromFrames"] = Processor.process_GetHistoryFromFrames
self._processMap["GetHistory"] = Processor.process_GetHistory
self._processMap["GetCurrentEvents"] = Processor.process_GetCurrentEvents
self._on_message_begin = None
def on_message_begin(self, func):
self._on_message_begin = func
def process(self, iprot, oprot):
(name, type, seqid) = iprot.readMessageBegin()
if self._on_message_begin:
self._on_message_begin(name, type, seqid)
if name not in self._processMap:
iprot.skip(TType.STRUCT)
iprot.readMessageEnd()
x = TApplicationException(TApplicationException.UNKNOWN_METHOD, 'Unknown function %s' % (name))
oprot.writeMessageBegin(name, TMessageType.EXCEPTION, seqid)
x.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
return
else:
self._processMap[name](self, seqid, iprot, oprot)
return True
def process_RegisterAtEvent(self, seqid, iprot, oprot):
args = RegisterAtEvent_args()
args.read(iprot)
iprot.readMessageEnd()
result = RegisterAtEvent_result()
try:
result.success = self._handler.RegisterAtEvent(args.clientAddress, args.eventType)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("RegisterAtEvent", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_UnregisterAtEvent(self, seqid, iprot, oprot):
args = UnregisterAtEvent_args()
args.read(iprot)
iprot.readMessageEnd()
result = UnregisterAtEvent_result()
try:
result.success = self._handler.UnregisterAtEvent(args.clientAddress, args.eventType)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("UnregisterAtEvent", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_AssignInstruction(self, seqid, iprot, oprot):
args = AssignInstruction_args()
args.read(iprot)
iprot.readMessageEnd()
result = AssignInstruction_result()
try:
result.success = self._handler.AssignInstruction(args.instruction, args.properties)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("AssignInstruction", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_Abort(self, seqid, iprot, oprot):
args = Abort_args()
args.read(iprot)
iprot.readMessageEnd()
result = Abort_result()
try:
result.success = self._handler.Abort()
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("Abort", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_AbortInstruction(self, seqid, iprot, oprot):
args = AbortInstruction_args()
args.read(iprot)
iprot.readMessageEnd()
result = AbortInstruction_result()
try:
result.success = self._handler.AbortInstruction(args.instructionID)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("AbortInstruction", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_AbortInstructions(self, seqid, iprot, oprot):
args = AbortInstructions_args()
args.read(iprot)
iprot.readMessageEnd()
result = AbortInstructions_result()
try:
result.success = self._handler.AbortInstructions(args.instructionIDs)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("AbortInstructions", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_GetHistoryFromTime(self, seqid, iprot, oprot):
args = GetHistoryFromTime_args()
args.read(iprot)
iprot.readMessageEnd()
result = GetHistoryFromTime_result()
try:
result.success = self._handler.GetHistoryFromTime(args.startTime, args.endTime, args.eventType)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("GetHistoryFromTime", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_GetHistoryFromFrames(self, seqid, iprot, oprot):
args = GetHistoryFromFrames_args()
args.read(iprot)
iprot.readMessageEnd()
result = GetHistoryFromFrames_result()
try:
result.success = self._handler.GetHistoryFromFrames(args.fromFrame, args.toFrame, args.eventType)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("GetHistoryFromFrames", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_GetHistory(self, seqid, iprot, oprot):
args = GetHistory_args()
args.read(iprot)
iprot.readMessageEnd()
result = GetHistory_result()
try:
result.success = self._handler.GetHistory(args.eventType)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("GetHistory", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_GetCurrentEvents(self, seqid, iprot, oprot):
args = GetCurrentEvents_args()
args.read(iprot)
iprot.readMessageEnd()
result = GetCurrentEvents_result()
try:
result.success = self._handler.GetCurrentEvents()
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("GetCurrentEvents", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
# HELPER FUNCTIONS AND STRUCTURES
class RegisterAtEvent_args(object):
"""
Attributes:
- clientAddress
- eventType
"""
def __init__(self, clientAddress=None, eventType=None,):
self.clientAddress = clientAddress
self.eventType = eventType
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRUCT:
self.clientAddress = MOSIM.mmi.core.ttypes.MIPAddress()
self.clientAddress.read(iprot)
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.STRING:
self.eventType = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('RegisterAtEvent_args')
if self.clientAddress is not None:
oprot.writeFieldBegin('clientAddress', TType.STRUCT, 1)
self.clientAddress.write(oprot)
oprot.writeFieldEnd()
if self.eventType is not None:
oprot.writeFieldBegin('eventType', TType.STRING, 2)
oprot.writeString(self.eventType.encode('utf-8') if sys.version_info[0] == 2 else self.eventType)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(RegisterAtEvent_args)
RegisterAtEvent_args.thrift_spec = (
None, # 0
(1, TType.STRUCT, 'clientAddress', [MOSIM.mmi.core.ttypes.MIPAddress, None], None, ), # 1
(2, TType.STRING, 'eventType', 'UTF8', None, ), # 2
)
class RegisterAtEvent_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = MOSIM.mmi.core.ttypes.MBoolResponse()
self.success.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('RegisterAtEvent_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(RegisterAtEvent_result)
RegisterAtEvent_result.thrift_spec = (
(0, TType.STRUCT, 'success', [MOSIM.mmi.core.ttypes.MBoolResponse, None], None, ), # 0
)
class UnregisterAtEvent_args(object):
"""
Attributes:
- clientAddress
- eventType
"""
def __init__(self, clientAddress=None, eventType=None,):
self.clientAddress = clientAddress
self.eventType = eventType
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRUCT:
self.clientAddress = MOSIM.mmi.core.ttypes.MIPAddress()
self.clientAddress.read(iprot)
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.STRING:
self.eventType = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('UnregisterAtEvent_args')
if self.clientAddress is not None:
oprot.writeFieldBegin('clientAddress', TType.STRUCT, 1)
self.clientAddress.write(oprot)
oprot.writeFieldEnd()
if self.eventType is not None:
oprot.writeFieldBegin('eventType', TType.STRING, 2)
oprot.writeString(self.eventType.encode('utf-8') if sys.version_info[0] == 2 else self.eventType)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(UnregisterAtEvent_args)
UnregisterAtEvent_args.thrift_spec = (
None, # 0
(1, TType.STRUCT, 'clientAddress', [MOSIM.mmi.core.ttypes.MIPAddress, None], None, ), # 1
(2, TType.STRING, 'eventType', 'UTF8', None, ), # 2
)
class UnregisterAtEvent_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = MOSIM.mmi.core.ttypes.MBoolResponse()
self.success.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('UnregisterAtEvent_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(UnregisterAtEvent_result)
UnregisterAtEvent_result.thrift_spec = (
(0, TType.STRUCT, 'success', [MOSIM.mmi.core.ttypes.MBoolResponse, None], None, ), # 0
)
class AssignInstruction_args(object):
"""
Attributes:
- instruction
- properties
"""
def __init__(self, instruction=None, properties=None,):
self.instruction = instruction
self.properties = properties
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRUCT:
self.instruction = MOSIM.mmi.mmu.ttypes.MInstruction()
self.instruction.read(iprot)
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.MAP:
self.properties = {}
(_ktype8, _vtype9, _size7) = iprot.readMapBegin()
for _i11 in range(_size7):
_key12 = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
_val13 = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
self.properties[_key12] = _val13
iprot.readMapEnd()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('AssignInstruction_args')
if self.instruction is not None:
oprot.writeFieldBegin('instruction', TType.STRUCT, 1)
self.instruction.write(oprot)
oprot.writeFieldEnd()
if self.properties is not None:
oprot.writeFieldBegin('properties', TType.MAP, 2)
oprot.writeMapBegin(TType.STRING, TType.STRING, len(self.properties))
for kiter14, viter15 in self.properties.items():
oprot.writeString(kiter14.encode('utf-8') if sys.version_info[0] == 2 else kiter14)
oprot.writeString(viter15.encode('utf-8') if sys.version_info[0] == 2 else viter15)
oprot.writeMapEnd()
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(AssignInstruction_args)
AssignInstruction_args.thrift_spec = (
None, # 0
(1, TType.STRUCT, 'instruction', [MOSIM.mmi.mmu.ttypes.MInstruction, None], None, ), # 1
(2, TType.MAP, 'properties', (TType.STRING, 'UTF8', TType.STRING, 'UTF8', False), None, ), # 2
)
class AssignInstruction_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = MOSIM.mmi.core.ttypes.MBoolResponse()
self.success.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('AssignInstruction_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(AssignInstruction_result)
AssignInstruction_result.thrift_spec = (
(0, TType.STRUCT, 'success', [MOSIM.mmi.core.ttypes.MBoolResponse, None], None, ), # 0
)
class Abort_args(object):
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('Abort_args')
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(Abort_args)
Abort_args.thrift_spec = (
)
class Abort_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = MOSIM.mmi.core.ttypes.MBoolResponse()
self.success.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('Abort_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(Abort_result)
Abort_result.thrift_spec = (
(0, TType.STRUCT, 'success', [MOSIM.mmi.core.ttypes.MBoolResponse, None], None, ), # 0
)
class AbortInstruction_args(object):
"""
Attributes:
- instructionID
"""
def __init__(self, instructionID=None,):
self.instructionID = instructionID
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.instructionID = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('AbortInstruction_args')
if self.instructionID is not None:
oprot.writeFieldBegin('instructionID', TType.STRING, 1)
oprot.writeString(self.instructionID.encode('utf-8') if sys.version_info[0] == 2 else self.instructionID)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(AbortInstruction_args)
AbortInstruction_args.thrift_spec = (
None, # 0
(1, TType.STRING, 'instructionID', 'UTF8', None, ), # 1
)
class AbortInstruction_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = MOSIM.mmi.core.ttypes.MBoolResponse()
self.success.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('AbortInstruction_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(AbortInstruction_result)
AbortInstruction_result.thrift_spec = (
(0, TType.STRUCT, 'success', [MOSIM.mmi.core.ttypes.MBoolResponse, None], None, ), # 0
)
class AbortInstructions_args(object):
"""
Attributes:
- instructionIDs
"""
def __init__(self, instructionIDs=None,):
self.instructionIDs = instructionIDs
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.LIST:
self.instructionIDs = []
(_etype19, _size16) = iprot.readListBegin()
for _i20 in range(_size16):
_elem21 = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
self.instructionIDs.append(_elem21)
iprot.readListEnd()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('AbortInstructions_args')
if self.instructionIDs is not None:
oprot.writeFieldBegin('instructionIDs', TType.LIST, 1)
oprot.writeListBegin(TType.STRING, len(self.instructionIDs))
for iter22 in self.instructionIDs:
oprot.writeString(iter22.encode('utf-8') if sys.version_info[0] == 2 else iter22)
oprot.writeListEnd()
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(AbortInstructions_args)
AbortInstructions_args.thrift_spec = (
None, # 0
(1, TType.LIST, 'instructionIDs', (TType.STRING, 'UTF8', False), None, ), # 1
)
class AbortInstructions_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = MOSIM.mmi.core.ttypes.MBoolResponse()
self.success.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('AbortInstructions_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(AbortInstructions_result)
AbortInstructions_result.thrift_spec = (
(0, TType.STRUCT, 'success', [MOSIM.mmi.core.ttypes.MBoolResponse, None], None, ), # 0
)
class GetHistoryFromTime_args(object):
"""
Attributes:
- startTime
- endTime
- eventType
"""
def __init__(self, startTime=None, endTime=None, eventType=None,):
self.startTime = startTime
self.endTime = endTime
self.eventType = eventType
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.DOUBLE:
self.startTime = iprot.readDouble()
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.DOUBLE:
self.endTime = iprot.readDouble()
else:
iprot.skip(ftype)
elif fid == 3:
if ftype == TType.STRING:
self.eventType = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('GetHistoryFromTime_args')
if self.startTime is not None:
oprot.writeFieldBegin('startTime', TType.DOUBLE, 1)
oprot.writeDouble(self.startTime)
oprot.writeFieldEnd()
if self.endTime is not None:
oprot.writeFieldBegin('endTime', TType.DOUBLE, 2)
oprot.writeDouble(self.endTime)
oprot.writeFieldEnd()
if self.eventType is not None:
oprot.writeFieldBegin('eventType', TType.STRING, 3)
oprot.writeString(self.eventType.encode('utf-8') if sys.version_info[0] == 2 else self.eventType)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(GetHistoryFromTime_args)
GetHistoryFromTime_args.thrift_spec = (
None, # 0
(1, TType.DOUBLE, 'startTime', None, None, ), # 1
(2, TType.DOUBLE, 'endTime', None, None, ), # 2
(3, TType.STRING, 'eventType', 'UTF8', None, ), # 3
)
class GetHistoryFromTime_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.LIST:
self.success = []
(_etype26, _size23) = iprot.readListBegin()
for _i27 in range(_size23):
_elem28 = MCoSimulationEvents()
_elem28.read(iprot)
self.success.append(_elem28)
iprot.readListEnd()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('GetHistoryFromTime_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.LIST, 0)
oprot.writeListBegin(TType.STRUCT, len(self.success))
for iter29 in self.success:
iter29.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(GetHistoryFromTime_result)
GetHistoryFromTime_result.thrift_spec = (
(0, TType.LIST, 'success', (TType.STRUCT, [MCoSimulationEvents, None], False), None, ), # 0
)
class GetHistoryFromFrames_args(object):
"""
Attributes:
- fromFrame
- toFrame
- eventType
"""
def __init__(self, fromFrame=None, toFrame=None, eventType=None,):
self.fromFrame = fromFrame
self.toFrame = toFrame
self.eventType = eventType
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.I32:
self.fromFrame = iprot.readI32()
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.I32:
self.toFrame = iprot.readI32()
else:
iprot.skip(ftype)
elif fid == 3:
if ftype == TType.STRING:
self.eventType = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('GetHistoryFromFrames_args')
if self.fromFrame is not None:
oprot.writeFieldBegin('fromFrame', TType.I32, 1)
oprot.writeI32(self.fromFrame)
oprot.writeFieldEnd()
if self.toFrame is not None:
oprot.writeFieldBegin('toFrame', TType.I32, 2)
oprot.writeI32(self.toFrame)
oprot.writeFieldEnd()
if self.eventType is not None:
oprot.writeFieldBegin('eventType', TType.STRING, 3)
oprot.writeString(self.eventType.encode('utf-8') if sys.version_info[0] == 2 else self.eventType)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(GetHistoryFromFrames_args)
GetHistoryFromFrames_args.thrift_spec = (
None, # 0
(1, TType.I32, 'fromFrame', None, None, ), # 1
(2, TType.I32, 'toFrame', None, None, ), # 2
(3, TType.STRING, 'eventType', 'UTF8', None, ), # 3
)
class GetHistoryFromFrames_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.LIST:
self.success = []
(_etype33, _size30) = iprot.readListBegin()
for _i34 in range(_size30):
_elem35 = MCoSimulationEvents()
_elem35.read(iprot)
self.success.append(_elem35)
iprot.readListEnd()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('GetHistoryFromFrames_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.LIST, 0)
oprot.writeListBegin(TType.STRUCT, len(self.success))
for iter36 in self.success:
iter36.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(GetHistoryFromFrames_result)
GetHistoryFromFrames_result.thrift_spec = (
(0, TType.LIST, 'success', (TType.STRUCT, [MCoSimulationEvents, None], False), None, ), # 0
)
class GetHistory_args(object):
"""
Attributes:
- eventType
"""
def __init__(self, eventType=None,):
self.eventType = eventType
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.eventType = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('GetHistory_args')
if self.eventType is not None:
oprot.writeFieldBegin('eventType', TType.STRING, 1)
oprot.writeString(self.eventType.encode('utf-8') if sys.version_info[0] == 2 else self.eventType)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(GetHistory_args)
GetHistory_args.thrift_spec = (
None, # 0
(1, TType.STRING, 'eventType', 'UTF8', None, ), # 1
)
class GetHistory_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.LIST:
self.success = []
(_etype40, _size37) = iprot.readListBegin()
for _i41 in range(_size37):
_elem42 = MCoSimulationEvents()
_elem42.read(iprot)
self.success.append(_elem42)
iprot.readListEnd()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('GetHistory_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.LIST, 0)
oprot.writeListBegin(TType.STRUCT, len(self.success))
for iter43 in self.success:
iter43.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(GetHistory_result)
GetHistory_result.thrift_spec = (
(0, TType.LIST, 'success', (TType.STRUCT, [MCoSimulationEvents, None], False), None, ), # 0
)
class GetCurrentEvents_args(object):
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('GetCurrentEvents_args')
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(GetCurrentEvents_args)
GetCurrentEvents_args.thrift_spec = (
)
class GetCurrentEvents_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = MCoSimulationEvents()
self.success.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('GetCurrentEvents_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(GetCurrentEvents_result)
GetCurrentEvents_result.thrift_spec = (
(0, TType.STRUCT, 'success', [MCoSimulationEvents, None], None, ), # 0
)
fix_spec(all_structs)
del all_structs
| 34.95858
| 134
| 0.606268
| 7,082
| 70,896
| 5.837052
| 0.033324
| 0.01391
| 0.025038
| 0.019595
| 0.811215
| 0.779767
| 0.757681
| 0.743771
| 0.728506
| 0.728506
| 0
| 0.005851
| 0.293656
| 70,896
| 2,027
| 135
| 34.975826
| 0.819638
| 0.019409
| 0
| 0.784576
| 1
| 0
| 0.042108
| 0.005083
| 0
| 0
| 0
| 0
| 0
| 1
| 0.122371
| false
| 0.006373
| 0.005736
| 0.038241
| 0.23327
| 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
|
7787dc1df4ec89f88994dc7df1a61e36552fd17a
| 3,437
|
py
|
Python
|
tests/test_app.py
|
keira-claudette/Xpression
|
208745a07f57b4d5720442609fa60f1f9ca6f7eb
|
[
"MIT"
] | 1
|
2022-01-25T17:32:54.000Z
|
2022-01-25T17:32:54.000Z
|
tests/test_app.py
|
Fraol123/Xpression
|
208745a07f57b4d5720442609fa60f1f9ca6f7eb
|
[
"MIT"
] | null | null | null |
tests/test_app.py
|
Fraol123/Xpression
|
208745a07f57b4d5720442609fa60f1f9ca6f7eb
|
[
"MIT"
] | 1
|
2022-01-14T14:47:17.000Z
|
2022-01-14T14:47:17.000Z
|
try:
from app import app
import unittest
except Exception as e:
print("Some Modules are Missing {}".format(e))
class FlaskTest(unittest.TestCase):
# check for response 200
def test_index(self):
tester = app.test_client(self)
response = tester.get("/")
statuscode = response.status_code
self.assertEqual(statuscode, 200)
# check if content return application Json
def test_index_content(self):
tester = app.test_client(self)
response = tester.get("/")
self.assertEqual(response.content_type, "text/html; charset=utf-8")
# check for Data returned
def test_index_data(self):
tester = app.test_client(self)
response = tester.get("/")
self.assertTrue(b'html' in response.data)
def test_login(self):
tester = app.test_client(self)
response = tester.get("/login")
statuscode = response.status_code
self.assertEqual(statuscode, 200)
def test_login_content(self):
tester = app.test_client(self)
response = tester.get("/login")
self.assertEqual(response.content_type, "text/html; charset=utf-8")
# check for Data returned
def test_login_data(self):
tester = app.test_client(self)
response = tester.get("/")
self.assertTrue(b'html' in response.data)
def test_signup(self):
tester = app.test_client(self)
response = tester.get("/signup")
statuscode = response.status_code
self.assertEqual(statuscode, 200)
def test_signup_content(self):
tester = app.test_client(self)
response = tester.get("/signup")
self.assertEqual(response.content_type, "text/html; charset=utf-8")
# check for Data returned
def test_signup_data(self):
tester = app.test_client(self)
response = tester.get("/signup")
self.assertTrue(b'html' in response.data)
def test_User(self):
tester = app.test_client(self)
response = tester.get("/login")
statuscode = response.status_code
self.assertEqual(statuscode, 200)
def test_user_content(self):
tester = app.test_client(self)
response = tester.get("/User")
self.assertEqual(response.content_type, "text/html; charset=utf-8")
# check for Data returned
def test_User_data(self):
tester = app.test_client(self)
response = tester.get("/user")
self.assertTrue(b'' in response.data)
def test_logout(self):
tester = app.test_client(self)
response = tester.get("/login")
statuscode = response.status_code
self.assertEqual(statuscode, 200)
def test_logout_content(self):
tester = app.test_client(self)
response = tester.get("/logout")
self.assertEqual(response.content_type, "text/html; charset=utf-8")
# check for Data returned
def test_logout_data(self):
tester = app.test_client(self)
response = tester.get("/logout")
self.assertTrue(b'' in response.data)
if __name__ == "__main__":
unittest.main()
| 33.696078
| 79
| 0.583649
| 381
| 3,437
| 5.112861
| 0.144357
| 0.053901
| 0.100103
| 0.130903
| 0.855236
| 0.851643
| 0.825975
| 0.825975
| 0.797228
| 0.75616
| 0
| 0.009742
| 0.313064
| 3,437
| 102
| 80
| 33.696078
| 0.815332
| 0.053244
| 0
| 0.657534
| 0
| 0
| 0.073914
| 0
| 0
| 0
| 0
| 0
| 0.205479
| 1
| 0.205479
| false
| 0
| 0.027397
| 0
| 0.246575
| 0.013699
| 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
|
77acb579f944a4842808015e1e2dd1dba7f1dcd3
| 4,428
|
py
|
Python
|
test/unit/test_zaliasd_data_shims.py
|
sirrok/sentinel
|
b13db5204ce46dc31489d6aa6d3619a8992dca90
|
[
"MIT"
] | null | null | null |
test/unit/test_zaliasd_data_shims.py
|
sirrok/sentinel
|
b13db5204ce46dc31489d6aa6d3619a8992dca90
|
[
"MIT"
] | null | null | null |
test/unit/test_zaliasd_data_shims.py
|
sirrok/sentinel
|
b13db5204ce46dc31489d6aa6d3619a8992dca90
|
[
"MIT"
] | null | null | null |
import pytest
import sys
import os
os.environ['SENTINEL_CONFIG'] = os.path.normpath(os.path.join(os.path.dirname(__file__), '../test_sentinel.conf'))
sys.path.append(os.path.normpath(os.path.join(os.path.dirname(__file__), '../../lib')))
import zaliaslib
@pytest.fixture
def sentinel_proposal_hex():
return '5b2270726f706f73616c222c207b22656e645f65706f6368223a20313439313032323830302c20226e616d65223a2022626565722d7265696d62757273656d656e742d37222c20227061796d656e745f61646472657373223a2022795965384b77796155753559737753596d4233713372797838585455753979375569222c20227061796d656e745f616d6f756e74223a20372e30303030303030302c202273746172745f65706f6368223a20313438333235303430302c202275726c223a202268747470733a2f2f6461736863656e7472616c2e636f6d2f626565722d7265696d62757273656d656e742d37227d5d'
@pytest.fixture
def sentinel_superblock_hex():
return '5b227375706572626c6f636b222c207b226576656e745f626c6f636b5f686569676874223a2036323530302c20227061796d656e745f616464726573736573223a2022795965384b77796155753559737753596d42337133727978385854557539793755697c795443363268755234595145506e39414a486a6e517878726548536267416f617456222c20227061796d656e745f616d6f756e7473223a2022357c33227d5d'
@pytest.fixture
def zaliasd_proposal_hex():
return '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'
@pytest.fixture
def zaliasd_superblock_hex():
return '5b5b2274726967676572222c207b226576656e745f626c6f636b5f686569676874223a2036323530302c20227061796d656e745f616464726573736573223a2022795965384b77796155753559737753596d42337133727978385854557539793755697c795443363268755234595145506e39414a486a6e517878726548536267416f617456222c20227061796d656e745f616d6f756e7473223a2022357c33222c202274797065223a20327d5d5d'
# ========================================================================
def test_SHIM_deserialise_from_zaliasd(zaliasd_proposal_hex, zaliasd_superblock_hex):
assert zaliaslib.SHIM_deserialise_from_zaliasd(zaliasd_proposal_hex) == '5b2270726f706f73616c222c207b22656e645f65706f6368223a20313439313336383430302c20226e616d65223a2022626565722d7265696d62757273656d656e742d39222c20227061796d656e745f61646472657373223a2022795965384b77796155753559737753596d4233713372797838585455753979375569222c20227061796d656e745f616d6f756e74223a2034392e30303030303030302c202273746172745f65706f6368223a20313438333235303430302c202275726c223a202268747470733a2f2f7777772e6461736863656e7472616c2e6f72672f702f626565722d7265696d62757273656d656e742d39227d5d'
assert zaliaslib.SHIM_deserialise_from_zaliasd(zaliasd_superblock_hex) == '5b227375706572626c6f636b222c207b226576656e745f626c6f636b5f686569676874223a2036323530302c20227061796d656e745f616464726573736573223a2022795965384b77796155753559737753596d42337133727978385854557539793755697c795443363268755234595145506e39414a486a6e517878726548536267416f617456222c20227061796d656e745f616d6f756e7473223a2022357c33227d5d'
def test_SHIM_serialise_for_zaliasd(sentinel_proposal_hex, sentinel_superblock_hex):
assert zaliaslib.SHIM_serialise_for_zaliasd(sentinel_proposal_hex) == '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'
assert zaliaslib.SHIM_serialise_for_zaliasd(sentinel_superblock_hex) == '5b5b2274726967676572222c207b226576656e745f626c6f636b5f686569676874223a2036323530302c20227061796d656e745f616464726573736573223a2022795965384b77796155753559737753596d42337133727978385854557539793755697c795443363268755234595145506e39414a486a6e517878726548536267416f617456222c20227061796d656e745f616d6f756e7473223a2022357c33222c202274797065223a20327d5d5d'
| 113.538462
| 582
| 0.934508
| 135
| 4,428
| 30.251852
| 0.266667
| 0.008815
| 0.015671
| 0.019099
| 0.098923
| 0.092556
| 0.092556
| 0.020078
| 0.020078
| 0.020078
| 0
| 0.686243
| 0.023261
| 4,428
| 38
| 583
| 116.526316
| 0.258035
| 0.01626
| 0
| 0.166667
| 0
| 0
| 0.78204
| 0.776527
| 0
| 1
| 0
| 0
| 0.166667
| 1
| 0.25
| false
| 0
| 0.166667
| 0.166667
| 0.583333
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 10
|
77c1d64076ebcbac734b2ec5546f2c9940a82089
| 148
|
py
|
Python
|
wxpay/__init__.py
|
pyclear/TorWxPay
|
a77a34e3f0e6476451af18ace956ac8132015956
|
[
"MIT"
] | 2
|
2020-01-28T07:34:01.000Z
|
2020-08-25T11:02:41.000Z
|
wxpay/__init__.py
|
pyclear/torwxpay
|
a77a34e3f0e6476451af18ace956ac8132015956
|
[
"MIT"
] | null | null | null |
wxpay/__init__.py
|
pyclear/torwxpay
|
a77a34e3f0e6476451af18ace956ac8132015956
|
[
"MIT"
] | null | null | null |
from .wxpay import WxPayJsApi
from .wxpay import WxPayApp
from .wxpay import WxPayH5
from .wxpay import WxPayMiniProgram
from .wxpay import WxPayQR
| 24.666667
| 35
| 0.831081
| 20
| 148
| 6.15
| 0.4
| 0.365854
| 0.609756
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007813
| 0.135135
| 148
| 5
| 36
| 29.6
| 0.953125
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| 0
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| true
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
77f7847ed1e6b6c9af49443fbfde67e28db537d1
| 720
|
py
|
Python
|
tests/test_data.py
|
michal21/mcl-python
|
12967a2812e50c3a71a9f275b12d3da9d97911ed
|
[
"MIT"
] | null | null | null |
tests/test_data.py
|
michal21/mcl-python
|
12967a2812e50c3a71a9f275b12d3da9d97911ed
|
[
"MIT"
] | null | null | null |
tests/test_data.py
|
michal21/mcl-python
|
12967a2812e50c3a71a9f275b12d3da9d97911ed
|
[
"MIT"
] | null | null | null |
G1_STR = "1 3685416753713387016781088315183077757961620795782546409894578378688607592378376318836054947676345821548104185464507 1339506544944476473020471379941921221584933875938349620426543736416511423956333506472724655353366534992391756441569"
G2_STR = "1 352701069587466618187139116011060144890029952792775240219908644239793785735715026873347600343865175952761926303160 3059144344244213709971259814753781636986470325476647558659373206291635324768958432433509563104347017837885763365758 1985150602287291935568054521177171638300868978215655730859378665066344726373823718423869104263333984641494340347905 927553665492332455747201965776037880757740193453592970025027978793976877002675564980949289727957565575433344219582"
| 240
| 474
| 0.975
| 12
| 720
| 58.333333
| 0.833333
| 0.011429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.977401
| 0.016667
| 720
| 2
| 475
| 360
| 0.011299
| 0
| 0
| 0
| 0
| 0
| 0.966667
| 0.955556
| 0
| 1
| 0
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| 1
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| false
| 0
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| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
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| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
ae0185f77bc834970c44d5f50f4324af96e4a87d
| 10,619
|
py
|
Python
|
dev_sandbox/policies/sandbox.py
|
catlla/developer-sandboxes
|
384de60ed1f693d830d042a267b1739297987540
|
[
"MIT"
] | 3
|
2020-07-07T04:28:35.000Z
|
2021-03-12T17:26:13.000Z
|
dev_sandbox/policies/sandbox.py
|
catlla/developer-sandboxes
|
384de60ed1f693d830d042a267b1739297987540
|
[
"MIT"
] | null | null | null |
dev_sandbox/policies/sandbox.py
|
catlla/developer-sandboxes
|
384de60ed1f693d830d042a267b1739297987540
|
[
"MIT"
] | 4
|
2020-09-15T21:13:46.000Z
|
2021-05-09T05:15:13.000Z
|
project_specific_tags = """{
"Version": "2012-10-17",
"Statement": [{
"Sid": "VisualEditor0",
"Effect": "Allow",
"Action": "ec2:RunInstances",
"Resource": [
"arn:aws:ec2:*:*:instance/*"
],
"Condition": {
"StringEquals": {
"aws:RequestTag/project": "vahalla"
},
"ForAllValues:StringEquals": {
"aws:TagKeys": "project"
}
}
},
{
"Effect": "Allow",
"Action": [
"ec2:CreateTags"
],
"Resource": "arn:aws:ec2:*:*:*/*",
"Condition": {
"StringEquals": {
"ec2:CreateAction": "RunInstances"
}
}
},
{
"Sid": "VisualEditor1",
"Effect": "Allow",
"Action": "ec2:CreateTags",
"Resource": "arn:aws:ec2:*:*:instance/*",
"Condition": {
"StringEquals": {
"ec2:ResourceTag/project": "vahalla"
},
"ForAllValues:StringEquals": {
"aws:TagKeys": "project"
},
"StringEqualsIfExists": {
"aws:RequestTag/project": "vahalla"
}
}
},
{
"Sid": "VisualEditor2",
"Effect": "Allow",
"Action": [
"ec2:StartInstances",
"ec2:StopInstances"
],
"Resource": "*",
"Condition": {
"StringEquals": {
"ec2:ResourceTag/project": "vahalla"
}
}
},
{
"Sid": "VisualEditor3",
"Effect": "Allow",
"Action": "ec2:RunInstances",
"Resource": [
"arn:aws:ec2:*:*:subnet/*",
"arn:aws:ec2:*:*:key-pair/*",
"arn:aws:ec2:*:*:launch-template/*",
"arn:aws:ec2:*::snapshot/*",
"arn:aws:ec2:*:*:volume/*",
"arn:aws:ec2:*:*:security-group/*",
"arn:aws:ec2:*:*:placement-group/*",
"arn:aws:ec2:*:*:network-interface/*",
"arn:aws:ec2:*::image/*"
]
},
{
"Sid": "PermissionsForRunningTestsOnly",
"Effect": "Allow",
"Action": [
"sts:DecodeAuthorizationMessage",
"cloudformation:ListExports"
],
"Resource": "*"
}
]
}"""
username_based_policy = """{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "VisualEditor0",
"Effect": "Allow",
"Action": "ec2:RunInstances",
"Resource": "arn:aws:ec2:*:*:instance/*",
"Condition": {
"StringEqualsIgnoreCase": {
"aws:RequestTag/username": "${aws:username}"
},
"ForAllValues:StringEquals": {
"aws:TagKeys": "username"
}
}
},
{
"Sid": "VisualEditor1",
"Effect": "Allow",
"Action": "ec2:CreateTags",
"Resource": "arn:aws:ec2:*:*:*/*",
"Condition": {
"StringEquals": {
"ec2:CreateAction": "RunInstances"
}
}
},
{
"Sid": "VisualEditor2",
"Effect": "Allow",
"Action": "ec2:CreateTags",
"Resource": "arn:aws:ec2:*:*:instance/*",
"Condition": {
"StringEqualsIgnoreCase": {
"ec2:ResourceTag/username": "${aws:username}",
"aws:RequestTag/username": "${aws:username}"
},
"ForAllValues:StringEquals": {
"aws:TagKeys": "username"
}
}
},
{
"Sid": "VisualEditor3",
"Effect": "Allow",
"Action": [
"ec2:StartInstances",
"ec2:StopInstances",
"ec2:TerminateInstances"
],
"Resource": "*",
"Condition": {
"StringEqualsIgnoreCase": {
"ec2:ResourceTag/username": "${aws:username}"
}
}
},
{
"Sid": "VisualEditor4",
"Effect": "Allow",
"Action": "ec2:RunInstances",
"Resource": [
"arn:aws:ec2:*:*:subnet/*",
"arn:aws:ec2:*:*:key-pair/*",
"arn:aws:ec2:*:*:launch-template/*",
"arn:aws:ec2:*::snapshot/*",
"arn:aws:ec2:*:*:volume/*",
"arn:aws:ec2:*:*:security-group/*",
"arn:aws:ec2:*:*:placement-group/*",
"arn:aws:ec2:*:*:network-interface/*",
"arn:aws:ec2:*::image/*"
]
},
{
"Sid": "PermissionsForRunningTestsOnly",
"Effect": "Allow",
"Action": [
"cloudformation:ListExports",
"sts:DecodeAuthorizationMessage",
"iam:GetUser"
],
"Resource": "*"
}
]
}
"""
full_attribute_based_policy = """{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "VisualEditor0",
"Effect": "Allow",
"Action": "ec2:RunInstances",
"Resource": "arn:aws:ec2:*:*:instance/*",
"Condition": {
"StringEqualsIgnoreCase": {
"aws:RequestTag/access-project": "${aws:PrincipalTag/access-project}",
"aws:RequestTag/access-team": "${aws:PrincipalTag/access-team}",
"aws:RequestTag/cost-center": "${aws:PrincipalTag/cost-center}"
},
"ForAllValues:StringEquals": {
"aws:TagKeys": ["access-project", "access-team", "cost-center"]
}
}
},
{
"Sid": "VisualEditor1",
"Effect": "Allow",
"Action": "ec2:CreateTags",
"Resource": "arn:aws:ec2:*:*:*/*",
"Condition": {
"StringEquals": {
"ec2:CreateAction": "RunInstances"
}
}
},
{
"Sid": "VisualEditor2",
"Effect": "Allow",
"Action": "ec2:CreateTags",
"Resource": "arn:aws:ec2:*:*:instance/*",
"Condition": {
"StringEqualsIgnoreCase": {
"ec2:ResourceTag/access-project": "${aws:PrincipalTag/access-project}",
"ec2:ResourceTag/access-team": "${aws:PrincipalTag/access-team}",
"ec2:ResourceTag/cost-center": "${aws:PrincipalTag/cost-center}"
},
"ForAllValues:StringEquals": {
"aws:TagKeys": ["access-project", "access-team", "cost-center"]
},
"StringEqualsIgnoreCase": {
"aws:RequestTag/access-project": "${aws:PrincipalTag/access-project}",
"aws:RequestTag/access-team": "${aws:PrincipalTag/access-team}",
"aws:RequestTag/cost-center": "${aws:PrincipalTag/cost-center}"
}
}
},
{
"Sid": "VisualEditor3",
"Effect": "Allow",
"Action": [
"ec2:StartInstances",
"ec2:StopInstances"
],
"Resource": "*",
"Condition": {
"StringEqualsIgnoreCase": {
"ec2:ResourceTag/access-project": "${aws:PrincipalTag/access-project}",
"ec2:ResourceTag/access-team": "${aws:PrincipalTag/access-team}",
"ec2:ResourceTag/cost-center": "${aws:PrincipalTag/cost-center}"
}
}
},
{
"Sid": "VisualEditor4",
"Effect": "Allow",
"Action": "ec2:RunInstances",
"Resource": [
"arn:aws:ec2:*:*:subnet/*",
"arn:aws:ec2:*:*:key-pair/*",
"arn:aws:ec2:*:*:launch-template/*",
"arn:aws:ec2:*::snapshot/*",
"arn:aws:ec2:*:*:volume/*",
"arn:aws:ec2:*:*:security-group/*",
"arn:aws:ec2:*:*:placement-group/*",
"arn:aws:ec2:*:*:network-interface/*",
"arn:aws:ec2:*::image/*"
]
},
{
"Sid": "PermissionsForRunningTestsOnly",
"Effect": "Allow",
"Action": [
"cloudformation:ListExports",
"sts:DecodeAuthorizationMessage"
],
"Resource": "*"
}
]
}
"""
flexible_policy_permission_boundary = """{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "VisualEditor0",
"Effect": "Allow",
"Action": [
"cloudformation:ListExports",
"sts:DecodeAuthorizationMessage"
],
"Resource": "*"
},
{
"Effect": "Allow",
"Action": "ec2:*",
"Resource": [
"arn:aws:ec2:*:*:subnet/*",
"arn:aws:ec2:*:*:key-pair/*",
"arn:aws:ec2:*:*:instance/*",
"arn:aws:ec2:*::snapshot/*",
"arn:aws:ec2:*:*:launch-template/*",
"arn:aws:ec2:*:*:volume/*",
"arn:aws:ec2:*:*:security-group/*",
"arn:aws:ec2:*:*:placement-group/*",
"arn:aws:ec2:*:*:network-interface/*",
"arn:aws:ec2:*::image/*"
]
},
{
"Effect": "Allow",
"Action": "ec2:Describe*",
"Resource": "*"
},
{
"Effect": "Allow",
"Action": "elasticloadbalancing:Describe*",
"Resource": "*"
},
{
"Effect": "Allow",
"Action": [
"cloudwatch:ListMetrics",
"cloudwatch:GetMetricStatistics",
"cloudwatch:Describe*"
],
"Resource": "*"
},
{
"Effect": "Allow",
"Action": "autoscaling:Describe*",
"Resource": "*"
}
]
}
"""
| 32.276596
| 91
| 0.394482
| 643
| 10,619
| 6.499222
| 0.118196
| 0.066045
| 0.099067
| 0.081359
| 0.907155
| 0.881551
| 0.860972
| 0.804977
| 0.782723
| 0.733908
| 0
| 0.021124
| 0.433845
| 10,619
| 328
| 92
| 32.375
| 0.673985
| 0
| 0
| 0.652308
| 0
| 0
| 0.986157
| 0.311894
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
7ad7606b2613c2dba51875ba5708e0fd3f5202b8
| 6,868
|
py
|
Python
|
tests/server/test_jsonschema_validator.py
|
bernhardkaindl/pjrpc
|
6e21534ee5a073315e805a911ae75cada4a81137
|
[
"Unlicense"
] | null | null | null |
tests/server/test_jsonschema_validator.py
|
bernhardkaindl/pjrpc
|
6e21534ee5a073315e805a911ae75cada4a81137
|
[
"Unlicense"
] | null | null | null |
tests/server/test_jsonschema_validator.py
|
bernhardkaindl/pjrpc
|
6e21534ee5a073315e805a911ae75cada4a81137
|
[
"Unlicense"
] | null | null | null |
import pytest
from xjsonrpc.server import validators
from xjsonrpc.server.validators import jsonschema
@pytest.mark.parametrize(
'dyn_method, params, schema', [
(
'param1, param2',
[1, 2],
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'param2': {'type': 'integer'},
},
},
),
(
'param1, *args',
[1, 2, 3],
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'args': {
'type': 'array',
'items': {
'type': 'integer',
},
},
},
},
),
(
'param1, *args',
[1],
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'args': {
'type': 'array',
'items': {
'type': 'integer',
},
},
},
},
),
(
'param1=1',
[],
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
},
},
),
(
'param1, param2=2',
[1],
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'param2': {'type': 'integer'},
},
},
),
(
'param1, param2',
{
'param1': 1,
'param2': 2,
},
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'param2': {'type': 'integer'},
},
},
),
(
'param1, **kwargs',
{
'param1': 1,
'param2': 2,
'param3': 3,
},
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'kwargs': {'type': 'object'},
},
},
),
(
'param1, *, param2, param3',
{
'param1': 1,
'param2': 2,
'param3': 3,
},
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'param2': {'type': 'integer'},
'param3': {'type': 'integer'},
},
},
),
(
'param1=1',
{},
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
},
},
),
(
'param1, param2=2',
{
'param1': 1,
},
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'param2': {'type': 'integer'},
},
},
),
(
'param1, *, param2=2',
{
'param1': 1,
},
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'param2': {'type': 'integer'},
},
},
),
], indirect=['dyn_method'],
)
def test_validation_success(dyn_method, params, schema):
validator = jsonschema.JsonSchemaValidator()
validator.validate_method(dyn_method, params, schema=schema)
@pytest.mark.parametrize(
'dyn_method, params, schema', [
(
'param1, param2',
[1],
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'param2': {'type': 'integer'},
},
},
),
(
'param1, param2',
[1, 2, 3],
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'param2': {'type': 'integer'},
},
},
),
(
'param1, *args',
[],
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'args': {
'type': 'array',
'items': {
'type': 'integer',
},
},
},
},
),
(
'param1, param2',
{
'param1': 1,
},
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'param2': {'type': 'integer'},
},
},
),
(
'param1, param2',
{
'param1': 1,
'param2': 2,
'param3': 3,
},
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'param2': {'type': 'integer'},
},
},
),
(
'param1, **kwargs',
{
'param2': 2,
},
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'kwargs': {'type': 'object'},
},
},
),
(
'param1, *, param2, param3',
{
'param2': 1,
},
{
'type': 'object',
'properties': {
'param1': {'type': 'integer'},
'param2': {'type': 'integer'},
'param3': {'type': 'integer'},
},
},
),
], indirect=['dyn_method'],
)
def test_validation_error(dyn_method, params, schema):
validator = jsonschema.JsonSchemaValidator()
with pytest.raises(validators.ValidationError):
validator.validate_method(dyn_method, params, schema=schema)
| 26.015152
| 68
| 0.272423
| 331
| 6,868
| 5.610272
| 0.117825
| 0.2014
| 0.193861
| 0.252019
| 0.922994
| 0.92084
| 0.917609
| 0.853527
| 0.759289
| 0.756597
| 0
| 0.037684
| 0.574985
| 6,868
| 263
| 69
| 26.114068
| 0.598493
| 0
| 0
| 0.578125
| 0
| 0
| 0.210542
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.007813
| false
| 0
| 0.011719
| 0
| 0.019531
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
bb4e5788a0557c5cd0ff884f1479c8fcb4a3cf08
| 9,001
|
py
|
Python
|
GPFlowUnimodalPref/GPUnimodalPref/unimodal_conditional.py
|
nawalgao/GPPrefElicit
|
e45cc562dfb39499485b6a47ff00151b6b5fda56
|
[
"MIT"
] | 1
|
2020-08-08T10:57:57.000Z
|
2020-08-08T10:57:57.000Z
|
GPFlowUnimodalPref/GPUnimodalPref/unimodal_conditional.py
|
nawalgao/GPPrefElicit
|
e45cc562dfb39499485b6a47ff00151b6b5fda56
|
[
"MIT"
] | null | null | null |
GPFlowUnimodalPref/GPUnimodalPref/unimodal_conditional.py
|
nawalgao/GPPrefElicit
|
e45cc562dfb39499485b6a47ff00151b6b5fda56
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 4 12:54:24 2018
@author: nimishawalgaonkar
"""
import tensorflow as tf
from gpflow.scoping import NameScoped
from gpflow._settings import settings
float_type = settings.dtypes.float_type
@NameScoped("monotone_conditional")
def monotone_conditional(Xnew, X, X_prime, kern, f_concat, whiten=False):
"""
Given F, representing the GP at the points X, and
F_prime representing dervative values of F at X_prime points,
produce the mean and (co-)variance of the GP at the points Xnew.
Additionally, the GP may have been centered (whitened) so that
p(v) = N( 0, I)
f = L v
thus
p(f) = N(0, LL^T) = N(0, K).
In this case 'f' represents the values taken by v.
The method can either return the diagonals of the covariance matrix for
each output of the full covariance matrix (full_cov).
- Xnew is a data matrix, size P x 1
- X are data points, size N x 1
- X_prine are datapoints, size M x 1
- kern is a GPflow kernel which supports monotonocity (eg. ExtendRBF1D())
- f is a data matrix, N x K, representing the function values at X, for K functions. K = 1 for now
- q_sqrt (optional) is a matrix of standard-deviations or Cholesky
matrices, size M x K or M x M x K
- whiten (optional) is a boolean: whether to whiten the representation
as described above.
"""
# compute kernel stuff
X_concat = tf.concat([X, X_prime], 0)
num_data = tf.shape(X_concat)[0]
num_func = 1 # only one output GP
Kmm = kern.Kj(X, X_prime) + tf.eye(num_data, dtype=float_type) * settings.numerics.jitter_level
Kmn = kern.Kmn(Xnew, X, X_prime)
Lm = tf.cholesky(Kmm)
# Compute the projection matrix A
A = tf.matrix_triangular_solve(Lm, Kmn, lower = True)
# compute the covariance due to the conditioning
fvar = kern.K(Xnew, Xnew) - tf.matmul(A, A, transpose_a=True)
shape = tf.stack([num_func, 1, 1])
fvar = tf.tile(tf.expand_dims(fvar, 0), shape) # K x N x N or K x N
# another backsubstitution in the unwhitened case
if not whiten:
A = tf.matrix_triangular_solve(tf.transpose(Lm), A, lower=False)
# construct the conditional mean
fmean = tf.matmul(A, f_concat, transpose_a=True)
fvar = tf.transpose(fvar) # N x K or N x N x K
return fmean, fvar
@NameScoped("grad_monotone_conditional")
def grad_monotone_conditional(Xnew, X, X_prime_concat, kern, f_concat, jitter, whiten=False):
"""
Given F, representing the GP at the points X, and
F_prime representing dervative values of F at X_prime points,
produce the mean and (co-)variance of the GP at the points Xnew.
Additionally, the GP may have been centered (whitened) so that
p(v) = N( 0, I)
f = L v
thus
p(f) = N(0, LL^T) = N(0, K).
In this case 'f' represents the values taken by v.
The method can either return the diagonals of the covariance matrix for
each output of the full covariance matrix (full_cov).
- Xnew is a data matrix, size P x 1
- X are data points, size N x 1
- X_prine are datapoints, size M x 1
- kern is a GPflow kernel which supports monotonocity (eg. ExtendRBF1D())
- f is a data matrix, N x K, representing the function values at X, for K functions. K = 1 for now
- q_sqrt (optional) is a matrix of standard-deviations or Cholesky
matrices, size M x K or M x M x K
- whiten (optional) is a boolean: whether to whiten the representation
as described above.
"""
# compute kernel stuff
X_concat = tf.concat([X, X_prime_concat], 0)
num_data = tf.shape(X_concat)[0]
num_func = 1 # only one output GP
Kmm = kern.Kj(X, X_prime_concat) + tf.eye(num_data, dtype=float_type) * jitter
Kmn = kern.Kmn(Xnew, X, X_prime_concat)
Lm = tf.cholesky(Kmm)
# Compute the projection matrix A
A = tf.matrix_triangular_solve(Lm, Kmn, lower = True)
# compute the covariance due to the conditioning
fvar = kern.K(Xnew, Xnew) - tf.matmul(A, A, transpose_a=True)
shape = tf.stack([num_func, 1, 1])
fvar = tf.tile(tf.expand_dims(fvar, 0), shape) # K x N x N or K x N
# another backsubstitution in the unwhitened case
if not whiten:
A = tf.matrix_triangular_solve(tf.transpose(Lm), A, lower=False)
# construct the conditional mean
fmean = tf.matmul(A, f_concat, transpose_a=True)
fvar = tf.transpose(fvar) # N x K or N x N x K
return fmean, fvar
@NameScoped("grad_monotone_conditional_der")
def grad_monotone_conditional_der(Xnew, X, X_prime_concat, kern, f_concat, jitter, whiten=False):
"""
Given F, representing the GP at the points X, and
F_prime representing dervative values of F at X_prime points,
produce the mean and (co-)variance of the GP at the points Xnew.
Additionally, the GP may have been centered (whitened) so that
p(v) = N( 0, I)
f = L v
thus
p(f) = N(0, LL^T) = N(0, K).
In this case 'f' represents the values taken by v.
The method can either return the diagonals of the covariance matrix for
each output of the full covariance matrix (full_cov).
- Xnew is a data matrix, size P x 1
- X are data points, size N x 1
- X_prine are datapoints, size M x 1
- kern is a GPflow kernel which supports monotonocity (eg. ExtendRBF1D())
- f is a data matrix, N x K, representing the function values at X, for K functions. K = 1 for now
- q_sqrt (optional) is a matrix of standard-deviations or Cholesky
matrices, size M x K or M x M x K
- whiten (optional) is a boolean: whether to whiten the representation
as described above.
"""
# compute kernel stuff
X_concat = tf.concat([X, X_prime_concat], 0)
num_data = tf.shape(X_concat)[0]
num_func = 1 # only one output GP
Kmm = kern.Kj(X, X_prime_concat) + tf.eye(num_data, dtype=float_type) * jitter
Kmn = kern.Kgh(Xnew, X, X_prime_concat)
Lm = tf.cholesky(Kmm)
# Compute the projection matrix A
A = tf.matrix_triangular_solve(Lm, Kmn, lower = True)
# compute the covariance due to the conditioning
fvar = kern.Kdd(Xnew, Xnew) - tf.matmul(A, A, transpose_a=True)
shape = tf.stack([num_func, 1, 1])
fvar = tf.tile(tf.expand_dims(fvar, 0), shape) # K x N x N or K x N
# another backsubstitution in the unwhitened case
if not whiten:
A = tf.matrix_triangular_solve(tf.transpose(Lm), A, lower=False)
# construct the conditional mean
fmean = tf.matmul(A, f_concat, transpose_a=True)
fvar = tf.transpose(fvar) # N x K or N x N x K
return fmean, fvar
@NameScoped("grad_monotone_conditional1")
def grad_monotone_conditional1(Xnew, X_prime_concat, kern, f_concat, jitter, whiten=False):
"""
Given F, representing the GP at the points X, and
F_prime representing dervative values of F at X_prime points,
produce the mean and (co-)variance of the GP at the points Xnew.
Additionally, the GP may have been centered (whitened) so that
p(v) = N( 0, I)
f = L v
thus
p(f) = N(0, LL^T) = N(0, K).
In this case 'f' represents the values taken by v.
The method can either return the diagonals of the covariance matrix for
each output of the full covariance matrix (full_cov).
- Xnew is a data matrix, size P x 1
- X are data points, size N x 1
- X_prine are datapoints, size M x 1
- kern is a GPflow kernel which supports monotonocity (eg. ExtendRBF1D())
- f is a data matrix, N x K, representing the function values at X, for K functions. K = 1 for now
- q_sqrt (optional) is a matrix of standard-deviations or Cholesky
matrices, size M x K or M x M x K
- whiten (optional) is a boolean: whether to whiten the representation
as described above.
"""
num_data = tf.shape(X_prime_concat)[0]
num_func = 1 # only one output GP
Kmm = kern.Kdd(X_prime_concat, X_prime_concat) + tf.eye(num_data, dtype=float_type) * jitter
Kmn = tf.transpose(kern.Kd(Xnew, X_prime_concat)) # here you might eed to transpose
Lm = tf.cholesky(Kmm)
# Compute the projection matrix A
A = tf.matrix_triangular_solve(Lm, Kmn, lower = True)
# compute the covariance due to the conditioning
fvar = kern.K(Xnew, Xnew) - tf.matmul(A, A, transpose_a=True)
shape = tf.stack([num_func, 1, 1])
fvar = tf.tile(tf.expand_dims(fvar, 0), shape) # K x N x N or K x N
# another backsubstitution in the unwhitened case
if not whiten:
A = tf.matrix_triangular_solve(tf.transpose(Lm), A, lower=False)
# construct the conditional mean
fmean = tf.matmul(A, f_concat, transpose_a=True)
fvar = tf.transpose(fvar) # N x K or N x N x K
return fmean, fvar
| 36.738776
| 103
| 0.65826
| 1,485
| 9,001
| 3.90101
| 0.114478
| 0.008286
| 0.026929
| 0.01381
| 0.926808
| 0.923356
| 0.914897
| 0.906266
| 0.906266
| 0.906266
| 0
| 0.010448
| 0.255638
| 9,001
| 245
| 104
| 36.738776
| 0.854179
| 0.552161
| 0
| 0.704225
| 0
| 0
| 0.027816
| 0.022253
| 0
| 0
| 0
| 0
| 0
| 1
| 0.056338
| false
| 0
| 0.042254
| 0
| 0.15493
| 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
|
7040941181e03238af5f6b2a50339f1bcbee3fee
| 27,676
|
py
|
Python
|
notebooks/scripts/.ipynb_checkpoints/binary_classification-checkpoint.py
|
Jarino/pycgp
|
c3281c0deff3388cb7cfd79339b84391f6499ae1
|
[
"MIT"
] | 4
|
2018-02-08T17:34:58.000Z
|
2021-09-20T01:37:32.000Z
|
notebooks/scripts/binary_classification.py
|
Jarino/pycgp
|
c3281c0deff3388cb7cfd79339b84391f6499ae1
|
[
"MIT"
] | 1
|
2018-02-09T09:59:09.000Z
|
2018-02-09T10:52:26.000Z
|
notebooks/scripts/.ipynb_checkpoints/binary_classification-checkpoint.py
|
Jarino/pycgp
|
c3281c0deff3388cb7cfd79339b84391f6499ae1
|
[
"MIT"
] | 1
|
2018-12-12T03:51:33.000Z
|
2018-12-12T03:51:33.000Z
|
from pycgp.benchmarks.classification import X_train, y_train, X_test, y_test, PARAMS, EV_PARAMS
from pycgp.evolution import evolution
from pycgp.counter import Counter
import random
import numpy as np
from time import time
import pandas as pd
experiment_count = 0
X = None
y = None
def run_experiment(PARAMS,EV_PARAMS, dum1, dum2):
global experiment_count
experiment_count += 1
print('Experiment #{}'.format(experiment_count))
start = time()
n_better = []
n_worse = []
n_same = []
train_stat = []
test_stat = []
for i in range(0, 5):
print(i, end=', ')
result = evolution(PARAMS, EV_PARAMS, X_train, y_train)
train_stat.append([x.fitness for x in result['final']])
test_stat.append([EV_PARAMS['cost_func'](y_test, x.execute(X_test)) for x in result['final'] ])
n_better.append(Counter.get().dict['g_better'])
n_worse.append(Counter.get().dict['g_worse'])
n_same.append(Counter.get().dict['g_same_as_parent'])
train_results = [
np.min(train_stat), # best fitness
np.mean(train_stat), # mean of fitnesses of all last generations
np.std(train_stat), # std of fitnesses of all last generations
np.mean(np.min(train_stat, axis=1)), # mean of best individuals from run
np.std(np.min(train_stat, axis=1)), # std of best individuals from run
np.sum(n_better), np.mean(n_better),
np.sum(n_worse), np.mean(n_worse),
np.sum(n_same), np.mean(n_same)
]
test_results = [
np.min(test_stat), # best fitness
np.mean(test_stat), # mean of fitnesses of all last generations
np.std(test_stat), # std of fitnesses of all last generations
np.mean(np.min(test_stat, axis=1)), # mean of best individuals from run
np.std(np.min(test_stat, axis=1)), # std of best individuals from run
np.sum(n_better), np.mean(n_better),
np.sum(n_worse), np.mean(n_worse),
np.sum(n_same), np.mean(n_same)
]
print('Train: ', train_results)
print('Test: ', test_results)
end = time()
print('wall time {}'.format(end-start))
return train_results, test_results
from pycgp.mutation import point_mutation
train_measurements = {}
test_measurements = {}
EV_PARAMS['gems'] = 0
EV_PARAMS['mutation'] = point_mutation
EV_PARAMS['expire_gems'] = 0
#
# POINT MUTATION
# without gems
#
random.seed(1)
PARAMS['n_cols'] = 10
key = '10,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 5, expire 0
#
EV_PARAMS['gems'] = 5
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 5, expire 30
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 10, expire 30
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 10, expire 0
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
df = pd.DataFrame.from_dict(train_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/binclass_pm_train.csv')
df = pd.DataFrame.from_dict(train_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/binclass_pm_test.csv')
#########################################################################
#
# Single mutation, match all
#
#########################################################################
from pycgp.mutation import single_mutation
from pycgp.gems import GemSM, MatchSMStrategy
all_measurements = {}
EV_PARAMS['gems'] = 0
EV_PARAMS['gem_type'] = GemSM
EV_PARAMS['match_strategy'] = MatchSMStrategy
EV_PARAMS['mutation'] = single_mutation
EV_PARAMS['expire_gems'] = 0
#
# SINGLE MUTATION
# without gems
#
random.seed(1)
PARAMS['n_cols'] = 10
key = '10,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 5, expire 0
#
EV_PARAMS['gems'] = 5
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 5, expire 30
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 10, expire 30
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 10, expire 0
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
df = pd.DataFrame.from_dict(train_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/binclass_sm_all_train.csv')
df = pd.DataFrame.from_dict(train_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/binclass_sm_all_test.csv')
#########################################################################
#
# Single mutation, match active
#
#########################################################################
from pycgp.mutation import single_mutation
from pycgp.gems import MatchByActiveStrategy
all_measurements = {}
EV_PARAMS['gems'] = 0
EV_PARAMS['gem_type'] = GemSM
EV_PARAMS['match_strategy'] = MatchByActiveStrategy
EV_PARAMS['mutation'] = single_mutation
#
# SINGLE MUTATION
# without gems
#
random.seed(1)
PARAMS['n_cols'] = 10
key = '10,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 5, expire 0
#
EV_PARAMS['gems'] = 5
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 5, expire 30
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 10, expire 30
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 10, expire 0
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
df = pd.DataFrame.from_dict(train_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/binclass_sm_active_train.csv')
df = pd.DataFrame.from_dict(train_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/binclass_sm_active_test.csv')
#########################################################################
#
# Probabilistic mutation, match all
#
#########################################################################
from pycgp.mutation import probabilistic_mutation
all_measurements = {}
EV_PARAMS['gems'] = 0
EV_PARAMS['gem_type'] = GemSM
EV_PARAMS['match_strategy'] = MatchSMStrategy
EV_PARAMS['mutation'] = probabilistic_mutation
#
# without gems
#
random.seed(1)
PARAMS['n_cols'] = 10
key = '10,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 5, expire 0
#
EV_PARAMS['gems'] = 5
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 5, expire 30
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 10, expire 30
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 10, expire 0
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
df = pd.DataFrame.from_dict(train_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/binclass_probm_all_train.csv')
df = pd.DataFrame.from_dict(train_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/binclass_probm_all_test.csv')
#########################################################################
#
# Probabilistic mutation, match active
#
#########################################################################
from pycgp.mutation import probabilistic_mutation
all_measurements = {}
EV_PARAMS['gems'] = 0
EV_PARAMS['gem_type'] = GemSM
EV_PARAMS['match_strategy'] = MatchByActiveStrategy
EV_PARAMS['mutation'] = probabilistic_mutation
#
# without gems
#
random.seed(1)
PARAMS['n_cols'] = 10
key = '10,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,0,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 5, expire 0
#
EV_PARAMS['gems'] = 5
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,5,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 5, expire 30
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,5,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 10, expire 30
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,10,0'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
#
# POINT MUTATION
# with gems, 10, expire 0
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
#all_measurements['10,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '10,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 50
#all_measurements['50,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '50,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
random.seed(1)
PARAMS['n_cols'] = 100
#all_measurements['100,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
key = '100,10,30'
results = run_experiment(PARAMS, EV_PARAMS, X, y)
train_measurements[key] = results[0]
test_measurements[key] = results[1]
df = pd.DataFrame.from_dict(train_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/binclass_probm_actve_train.csv')
df = pd.DataFrame.from_dict(train_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/binclass_probm_active_test.csv')
| 29.473908
| 121
| 0.696416
| 4,353
| 27,676
| 4.230186
| 0.0255
| 0.088628
| 0.179211
| 0.166504
| 0.955143
| 0.941458
| 0.937548
| 0.931954
| 0.931954
| 0.931954
| 0
| 0.052991
| 0.125849
| 27,676
| 939
| 122
| 29.473908
| 0.708139
| 0.223949
| 0
| 0.89689
| 0
| 0
| 0.157506
| 0.01449
| 0
| 0
| 0
| 0
| 0
| 1
| 0.001637
| false
| 0
| 0.022913
| 0
| 0.026187
| 0.008183
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
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0
| 8
|
707461340e2dee12d73af3b2915c66f2647bffb3
| 77,613
|
py
|
Python
|
tb_rest_client/api/api_pe/device_controller_api.py
|
jernkuan/thingsboard-python-rest-client
|
3fb25272507494e6d494b27ca2380d3c543562e5
|
[
"Apache-2.0"
] | null | null | null |
tb_rest_client/api/api_pe/device_controller_api.py
|
jernkuan/thingsboard-python-rest-client
|
3fb25272507494e6d494b27ca2380d3c543562e5
|
[
"Apache-2.0"
] | null | null | null |
tb_rest_client/api/api_pe/device_controller_api.py
|
jernkuan/thingsboard-python-rest-client
|
3fb25272507494e6d494b27ca2380d3c543562e5
|
[
"Apache-2.0"
] | 1
|
2021-11-26T11:24:56.000Z
|
2021-11-26T11:24:56.000Z
|
# coding: utf-8
"""
ThingsBoard REST API
For instructions how to authorize requests please visit <a href='http://thingsboard.io/docs/reference/rest-api/'>REST API documentation page</a>. # noqa: E501
OpenAPI spec version: 2.0
Contact: info@thingsboard.io
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 tb_rest_client.api_client import ApiClient
class DeviceControllerApi(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 assign_device_to_tenant_using_post(self, tenant_id, device_id, **kwargs): # noqa: E501
"""assignDeviceToTenant # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.assign_device_to_tenant_using_post(tenant_id, device_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str tenant_id: tenantId (required)
:param str device_id: deviceId (required)
:return: Device
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.assign_device_to_tenant_using_post_with_http_info(tenant_id, device_id, **kwargs) # noqa: E501
else:
(data) = self.assign_device_to_tenant_using_post_with_http_info(tenant_id, device_id, **kwargs) # noqa: E501
return data
def assign_device_to_tenant_using_post_with_http_info(self, tenant_id, device_id, **kwargs): # noqa: E501
"""assignDeviceToTenant # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.assign_device_to_tenant_using_post_with_http_info(tenant_id, device_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str tenant_id: tenantId (required)
:param str device_id: deviceId (required)
:return: Device
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['tenant_id', 'device_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 assign_device_to_tenant_using_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'tenant_id' is set
if ('tenant_id' not in params or
params['tenant_id'] is None):
raise ValueError("Missing the required parameter `tenant_id` when calling `assign_device_to_tenant_using_post`") # noqa: E501
# verify the required parameter 'device_id' is set
if ('device_id' not in params or
params['device_id'] is None):
raise ValueError("Missing the required parameter `device_id` when calling `assign_device_to_tenant_using_post`") # noqa: E501
collection_formats = {}
path_params = {}
if 'tenant_id' in params:
path_params['tenantId'] = params['tenant_id'] # noqa: E501
if 'device_id' in params:
path_params['deviceId'] = params['device_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/tenant/{tenantId}/device/{deviceId}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Device', # 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 claim_device_using_post(self, device_name, **kwargs): # noqa: E501
"""claimDevice # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.claim_device_using_post(device_name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_name: deviceName (required)
:param ClaimRequest body: claimRequest
:param str sub_customer_id: subCustomerId
:return: DeferredResultResponseEntity
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.claim_device_using_post_with_http_info(device_name, **kwargs) # noqa: E501
else:
(data) = self.claim_device_using_post_with_http_info(device_name, **kwargs) # noqa: E501
return data
def claim_device_using_post_with_http_info(self, device_name, **kwargs): # noqa: E501
"""claimDevice # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.claim_device_using_post_with_http_info(device_name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_name: deviceName (required)
:param ClaimRequest body: claimRequest
:param str sub_customer_id: subCustomerId
:return: DeferredResultResponseEntity
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['device_name', 'body', 'sub_customer_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 claim_device_using_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'device_name' is set
if ('device_name' not in params or
params['device_name'] is None):
raise ValueError("Missing the required parameter `device_name` when calling `claim_device_using_post`") # noqa: E501
collection_formats = {}
path_params = {}
if 'device_name' in params:
path_params['deviceName'] = params['device_name'] # noqa: E501
query_params = []
if 'sub_customer_id' in params:
query_params.append(('subCustomerId', params['sub_customer_id'])) # noqa: E501
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(
['*/*']) # 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 = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/customer/device/{deviceName}/claim{?subCustomerId}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DeferredResultResponseEntity', # 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 count_by_device_group_and_empty_ota_package_using_get(self, ota_package_type, ota_package_id, entity_group_id, **kwargs): # noqa: E501
"""countByDeviceGroupAndEmptyOtaPackage # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.count_by_device_group_and_empty_ota_package_using_get(ota_package_type, ota_package_id, entity_group_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str ota_package_type: otaPackageType (required)
:param str ota_package_id: otaPackageId (required)
:param str entity_group_id: entityGroupId (required)
:return: int
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.count_by_device_group_and_empty_ota_package_using_get_with_http_info(ota_package_type, ota_package_id, entity_group_id, **kwargs) # noqa: E501
else:
(data) = self.count_by_device_group_and_empty_ota_package_using_get_with_http_info(ota_package_type, ota_package_id, entity_group_id, **kwargs) # noqa: E501
return data
def count_by_device_group_and_empty_ota_package_using_get_with_http_info(self, ota_package_type, ota_package_id, entity_group_id, **kwargs): # noqa: E501
"""countByDeviceGroupAndEmptyOtaPackage # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.count_by_device_group_and_empty_ota_package_using_get_with_http_info(ota_package_type, ota_package_id, entity_group_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str ota_package_type: otaPackageType (required)
:param str ota_package_id: otaPackageId (required)
:param str entity_group_id: entityGroupId (required)
:return: int
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['ota_package_type', 'ota_package_id', 'entity_group_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 count_by_device_group_and_empty_ota_package_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'ota_package_type' is set
if ('ota_package_type' not in params or
params['ota_package_type'] is None):
raise ValueError("Missing the required parameter `ota_package_type` when calling `count_by_device_group_and_empty_ota_package_using_get`") # noqa: E501
# verify the required parameter 'ota_package_id' is set
if ('ota_package_id' not in params or
params['ota_package_id'] is None):
raise ValueError("Missing the required parameter `ota_package_id` when calling `count_by_device_group_and_empty_ota_package_using_get`") # noqa: E501
# verify the required parameter 'entity_group_id' is set
if ('entity_group_id' not in params or
params['entity_group_id'] is None):
raise ValueError("Missing the required parameter `entity_group_id` when calling `count_by_device_group_and_empty_ota_package_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'ota_package_type' in params:
path_params['otaPackageType'] = params['ota_package_type'] # noqa: E501
if 'ota_package_id' in params:
path_params['otaPackageId'] = params['ota_package_id'] # noqa: E501
if 'entity_group_id' in params:
path_params['entityGroupId'] = params['entity_group_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/devices/count/{otaPackageType}/{otaPackageId}/{entityGroupId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='int', # 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 count_by_device_profile_and_empty_ota_package_using_get(self, ota_package_type, device_profile_id, **kwargs): # noqa: E501
"""countByDeviceProfileAndEmptyOtaPackage # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.count_by_device_profile_and_empty_ota_package_using_get(ota_package_type, device_profile_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str ota_package_type: otaPackageType (required)
:param str device_profile_id: deviceProfileId (required)
:return: int
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.count_by_device_profile_and_empty_ota_package_using_get_with_http_info(ota_package_type, device_profile_id, **kwargs) # noqa: E501
else:
(data) = self.count_by_device_profile_and_empty_ota_package_using_get_with_http_info(ota_package_type, device_profile_id, **kwargs) # noqa: E501
return data
def count_by_device_profile_and_empty_ota_package_using_get_with_http_info(self, ota_package_type, device_profile_id, **kwargs): # noqa: E501
"""countByDeviceProfileAndEmptyOtaPackage # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.count_by_device_profile_and_empty_ota_package_using_get_with_http_info(ota_package_type, device_profile_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str ota_package_type: otaPackageType (required)
:param str device_profile_id: deviceProfileId (required)
:return: int
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['ota_package_type', 'device_profile_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 count_by_device_profile_and_empty_ota_package_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'ota_package_type' is set
if ('ota_package_type' not in params or
params['ota_package_type'] is None):
raise ValueError("Missing the required parameter `ota_package_type` when calling `count_by_device_profile_and_empty_ota_package_using_get`") # noqa: E501
# verify the required parameter 'device_profile_id' is set
if ('device_profile_id' not in params or
params['device_profile_id'] is None):
raise ValueError("Missing the required parameter `device_profile_id` when calling `count_by_device_profile_and_empty_ota_package_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'ota_package_type' in params:
path_params['otaPackageType'] = params['ota_package_type'] # noqa: E501
if 'device_profile_id' in params:
path_params['deviceProfileId'] = params['device_profile_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/devices/count/{otaPackageType}/{deviceProfileId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='int', # 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_device_using_delete(self, device_id, **kwargs): # noqa: E501
"""deleteDevice # 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_device_using_delete(device_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_id: deviceId (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_device_using_delete_with_http_info(device_id, **kwargs) # noqa: E501
else:
(data) = self.delete_device_using_delete_with_http_info(device_id, **kwargs) # noqa: E501
return data
def delete_device_using_delete_with_http_info(self, device_id, **kwargs): # noqa: E501
"""deleteDevice # 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_device_using_delete_with_http_info(device_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_id: deviceId (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['device_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_device_using_delete" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'device_id' is set
if ('device_id' not in params or
params['device_id'] is None):
raise ValueError("Missing the required parameter `device_id` when calling `delete_device_using_delete`") # noqa: E501
collection_formats = {}
path_params = {}
if 'device_id' in params:
path_params['deviceId'] = params['device_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/device/{deviceId}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def find_by_query_using_post1(self, body, **kwargs): # noqa: E501
"""findByQuery # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.find_by_query_using_post1(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DeviceSearchQuery body: query (required)
:return: list[Device]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.find_by_query_using_post1_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.find_by_query_using_post1_with_http_info(body, **kwargs) # noqa: E501
return data
def find_by_query_using_post1_with_http_info(self, body, **kwargs): # noqa: E501
"""findByQuery # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.find_by_query_using_post1_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DeviceSearchQuery body: query (required)
:return: list[Device]
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 find_by_query_using_post1" % 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 `find_by_query_using_post1`") # 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(
['*/*']) # 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 = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/devices', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[Device]', # 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_customer_devices_using_get(self, customer_id, page_size, page, **kwargs): # noqa: E501
"""getCustomerDevices # 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_customer_devices_using_get(customer_id, page_size, page, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str customer_id: customerId (required)
:param str page_size: pageSize (required)
:param str page: page (required)
:param str type: type
:param str text_search: textSearch
:param str sort_property: sortProperty
:param str sort_order: sortOrder
:return: PageDataDevice
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_customer_devices_using_get_with_http_info(customer_id, page_size, page, **kwargs) # noqa: E501
else:
(data) = self.get_customer_devices_using_get_with_http_info(customer_id, page_size, page, **kwargs) # noqa: E501
return data
def get_customer_devices_using_get_with_http_info(self, customer_id, page_size, page, **kwargs): # noqa: E501
"""getCustomerDevices # 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_customer_devices_using_get_with_http_info(customer_id, page_size, page, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str customer_id: customerId (required)
:param str page_size: pageSize (required)
:param str page: page (required)
:param str type: type
:param str text_search: textSearch
:param str sort_property: sortProperty
:param str sort_order: sortOrder
:return: PageDataDevice
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['customer_id', 'page_size', 'page', 'type', 'text_search', 'sort_property', 'sort_order'] # 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_customer_devices_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'customer_id' is set
if ('customer_id' not in params or
params['customer_id'] is None):
raise ValueError("Missing the required parameter `customer_id` when calling `get_customer_devices_using_get`") # noqa: E501
# verify the required parameter 'page_size' is set
if ('page_size' not in params or
params['page_size'] is None):
raise ValueError("Missing the required parameter `page_size` when calling `get_customer_devices_using_get`") # noqa: E501
# verify the required parameter 'page' is set
if ('page' not in params or
params['page'] is None):
raise ValueError("Missing the required parameter `page` when calling `get_customer_devices_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'customer_id' in params:
path_params['customerId'] = params['customer_id'] # noqa: E501
query_params = []
if 'type' in params:
query_params.append(('type', params['type'])) # noqa: E501
if 'text_search' in params:
query_params.append(('textSearch', params['text_search'])) # noqa: E501
if 'sort_property' in params:
query_params.append(('sortProperty', params['sort_property'])) # noqa: E501
if 'sort_order' in params:
query_params.append(('sortOrder', params['sort_order'])) # noqa: E501
if 'page_size' in params:
query_params.append(('pageSize', params['page_size'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/customer/{customerId}/devices{?type,textSearch,sortProperty,sortOrder,pageSize,page}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PageDataDevice', # 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_device_by_id_using_get(self, device_id, **kwargs): # noqa: E501
"""getDeviceById # 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_device_by_id_using_get(device_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_id: deviceId (required)
:return: Device
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_device_by_id_using_get_with_http_info(device_id, **kwargs) # noqa: E501
else:
(data) = self.get_device_by_id_using_get_with_http_info(device_id, **kwargs) # noqa: E501
return data
def get_device_by_id_using_get_with_http_info(self, device_id, **kwargs): # noqa: E501
"""getDeviceById # 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_device_by_id_using_get_with_http_info(device_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_id: deviceId (required)
:return: Device
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['device_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_device_by_id_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'device_id' is set
if ('device_id' not in params or
params['device_id'] is None):
raise ValueError("Missing the required parameter `device_id` when calling `get_device_by_id_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'device_id' in params:
path_params['deviceId'] = params['device_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/device/{deviceId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Device', # 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_device_credentials_by_device_id_using_get(self, device_id, **kwargs): # noqa: E501
"""getDeviceCredentialsByDeviceId # 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_device_credentials_by_device_id_using_get(device_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_id: deviceId (required)
:return: DeviceCredentials
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_device_credentials_by_device_id_using_get_with_http_info(device_id, **kwargs) # noqa: E501
else:
(data) = self.get_device_credentials_by_device_id_using_get_with_http_info(device_id, **kwargs) # noqa: E501
return data
def get_device_credentials_by_device_id_using_get_with_http_info(self, device_id, **kwargs): # noqa: E501
"""getDeviceCredentialsByDeviceId # 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_device_credentials_by_device_id_using_get_with_http_info(device_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_id: deviceId (required)
:return: DeviceCredentials
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['device_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_device_credentials_by_device_id_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'device_id' is set
if ('device_id' not in params or
params['device_id'] is None):
raise ValueError("Missing the required parameter `device_id` when calling `get_device_credentials_by_device_id_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'device_id' in params:
path_params['deviceId'] = params['device_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/device/{deviceId}/credentials', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DeviceCredentials', # 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_device_types_using_get(self, **kwargs): # noqa: E501
"""getDeviceTypes # 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_device_types_using_get(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[EntitySubtype]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_device_types_using_get_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_device_types_using_get_with_http_info(**kwargs) # noqa: E501
return data
def get_device_types_using_get_with_http_info(self, **kwargs): # noqa: E501
"""getDeviceTypes # 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_device_types_using_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: list[EntitySubtype]
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_device_types_using_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(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/device/types', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[EntitySubtype]', # 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_devices_by_entity_group_id_using_get(self, entity_group_id, page_size, page, **kwargs): # noqa: E501
"""getDevicesByEntityGroupId # 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_devices_by_entity_group_id_using_get(entity_group_id, page_size, page, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str entity_group_id: entityGroupId (required)
:param str page_size: Page size (required)
:param str page: Page (required)
:param str text_search: textSearch
:param str sort_property: sortProperty
:param str sort_order: sortOrder
:return: PageDataDevice
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_devices_by_entity_group_id_using_get_with_http_info(entity_group_id, page_size, page, **kwargs) # noqa: E501
else:
(data) = self.get_devices_by_entity_group_id_using_get_with_http_info(entity_group_id, page_size, page, **kwargs) # noqa: E501
return data
def get_devices_by_entity_group_id_using_get_with_http_info(self, entity_group_id, page_size, page, **kwargs): # noqa: E501
"""getDevicesByEntityGroupId # 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_devices_by_entity_group_id_using_get_with_http_info(entity_group_id, page_size, page, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str entity_group_id: entityGroupId (required)
:param str page_size: Page size (required)
:param str page: Page (required)
:param str text_search: textSearch
:param str sort_property: sortProperty
:param str sort_order: sortOrder
:return: PageDataDevice
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['entity_group_id', 'page_size', 'page', 'text_search', 'sort_property', 'sort_order'] # 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_devices_by_entity_group_id_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'entity_group_id' is set
if ('entity_group_id' not in params or
params['entity_group_id'] is None):
raise ValueError("Missing the required parameter `entity_group_id` when calling `get_devices_by_entity_group_id_using_get`") # noqa: E501
# verify the required parameter 'page_size' is set
if ('page_size' not in params or
params['page_size'] is None):
raise ValueError("Missing the required parameter `page_size` when calling `get_devices_by_entity_group_id_using_get`") # noqa: E501
# verify the required parameter 'page' is set
if ('page' not in params or
params['page'] is None):
raise ValueError("Missing the required parameter `page` when calling `get_devices_by_entity_group_id_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'entity_group_id' in params:
path_params['entityGroupId'] = params['entity_group_id'] # noqa: E501
query_params = []
if 'text_search' in params:
query_params.append(('textSearch', params['text_search'])) # noqa: E501
if 'sort_property' in params:
query_params.append(('sortProperty', params['sort_property'])) # noqa: E501
if 'sort_order' in params:
query_params.append(('sortOrder', params['sort_order'])) # noqa: E501
if 'page_size' in params:
query_params.append(('pageSize', params['page_size'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/entityGroup/{entityGroupId}/devices{?textSearch,sortProperty,sortOrder,pageSize,page}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PageDataDevice', # 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_devices_by_ids_using_get(self, device_ids, **kwargs): # noqa: E501
"""getDevicesByIds # 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_devices_by_ids_using_get(device_ids, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_ids: deviceIds (required)
:return: list[Device]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_devices_by_ids_using_get_with_http_info(device_ids, **kwargs) # noqa: E501
else:
(data) = self.get_devices_by_ids_using_get_with_http_info(device_ids, **kwargs) # noqa: E501
return data
def get_devices_by_ids_using_get_with_http_info(self, device_ids, **kwargs): # noqa: E501
"""getDevicesByIds # 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_devices_by_ids_using_get_with_http_info(device_ids, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_ids: deviceIds (required)
:return: list[Device]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['device_ids'] # 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_devices_by_ids_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'device_ids' is set
if ('device_ids' not in params or
params['device_ids'] is None):
raise ValueError("Missing the required parameter `device_ids` when calling `get_devices_by_ids_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'device_ids' in params:
query_params.append(('deviceIds', params['device_ids'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/devices{?deviceIds}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[Device]', # 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_tenant_device_using_get(self, device_name, **kwargs): # noqa: E501
"""getTenantDevice # 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_tenant_device_using_get(device_name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_name: deviceName (required)
:return: Device
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_tenant_device_using_get_with_http_info(device_name, **kwargs) # noqa: E501
else:
(data) = self.get_tenant_device_using_get_with_http_info(device_name, **kwargs) # noqa: E501
return data
def get_tenant_device_using_get_with_http_info(self, device_name, **kwargs): # noqa: E501
"""getTenantDevice # 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_tenant_device_using_get_with_http_info(device_name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_name: deviceName (required)
:return: Device
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['device_name'] # 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_tenant_device_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'device_name' is set
if ('device_name' not in params or
params['device_name'] is None):
raise ValueError("Missing the required parameter `device_name` when calling `get_tenant_device_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'device_name' in params:
query_params.append(('deviceName', params['device_name'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/tenant/devices{?deviceName}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Device', # 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_tenant_devices_using_get(self, page_size, page, **kwargs): # noqa: E501
"""getTenantDevices # 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_tenant_devices_using_get(page_size, page, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str page_size: pageSize (required)
:param str page: page (required)
:param str type: type
:param str text_search: textSearch
:param str sort_property: sortProperty
:param str sort_order: sortOrder
:return: PageDataDevice
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_tenant_devices_using_get_with_http_info(page_size, page, **kwargs) # noqa: E501
else:
(data) = self.get_tenant_devices_using_get_with_http_info(page_size, page, **kwargs) # noqa: E501
return data
def get_tenant_devices_using_get_with_http_info(self, page_size, page, **kwargs): # noqa: E501
"""getTenantDevices # 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_tenant_devices_using_get_with_http_info(page_size, page, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str page_size: pageSize (required)
:param str page: page (required)
:param str type: type
:param str text_search: textSearch
:param str sort_property: sortProperty
:param str sort_order: sortOrder
:return: PageDataDevice
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['page_size', 'page', 'type', 'text_search', 'sort_property', 'sort_order'] # 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_tenant_devices_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'page_size' is set
if ('page_size' not in params or
params['page_size'] is None):
raise ValueError("Missing the required parameter `page_size` when calling `get_tenant_devices_using_get`") # noqa: E501
# verify the required parameter 'page' is set
if ('page' not in params or
params['page'] is None):
raise ValueError("Missing the required parameter `page` when calling `get_tenant_devices_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'type' in params:
query_params.append(('type', params['type'])) # noqa: E501
if 'text_search' in params:
query_params.append(('textSearch', params['text_search'])) # noqa: E501
if 'sort_property' in params:
query_params.append(('sortProperty', params['sort_property'])) # noqa: E501
if 'sort_order' in params:
query_params.append(('sortOrder', params['sort_order'])) # noqa: E501
if 'page_size' in params:
query_params.append(('pageSize', params['page_size'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/tenant/devices{?type,textSearch,sortProperty,sortOrder,pageSize,page}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PageDataDevice', # 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_devices_using_get(self, page_size, page, **kwargs): # noqa: E501
"""getUserDevices # 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_devices_using_get(page_size, page, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str page_size: pageSize (required)
:param str page: page (required)
:param str type: type
:param str text_search: textSearch
:param str sort_property: sortProperty
:param str sort_order: sortOrder
:return: PageDataDevice
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_devices_using_get_with_http_info(page_size, page, **kwargs) # noqa: E501
else:
(data) = self.get_user_devices_using_get_with_http_info(page_size, page, **kwargs) # noqa: E501
return data
def get_user_devices_using_get_with_http_info(self, page_size, page, **kwargs): # noqa: E501
"""getUserDevices # 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_devices_using_get_with_http_info(page_size, page, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str page_size: pageSize (required)
:param str page: page (required)
:param str type: type
:param str text_search: textSearch
:param str sort_property: sortProperty
:param str sort_order: sortOrder
:return: PageDataDevice
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['page_size', 'page', 'type', 'text_search', 'sort_property', 'sort_order'] # 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_devices_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'page_size' is set
if ('page_size' not in params or
params['page_size'] is None):
raise ValueError("Missing the required parameter `page_size` when calling `get_user_devices_using_get`") # noqa: E501
# verify the required parameter 'page' is set
if ('page' not in params or
params['page'] is None):
raise ValueError("Missing the required parameter `page` when calling `get_user_devices_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'type' in params:
query_params.append(('type', params['type'])) # noqa: E501
if 'text_search' in params:
query_params.append(('textSearch', params['text_search'])) # noqa: E501
if 'sort_property' in params:
query_params.append(('sortProperty', params['sort_property'])) # noqa: E501
if 'sort_order' in params:
query_params.append(('sortOrder', params['sort_order'])) # noqa: E501
if 'page_size' in params:
query_params.append(('pageSize', params['page_size'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/user/devices{?type,textSearch,sortProperty,sortOrder,pageSize,page}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PageDataDevice', # 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 re_claim_device_using_delete(self, device_name, **kwargs): # noqa: E501
"""reClaimDevice # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.re_claim_device_using_delete(device_name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_name: deviceName (required)
:return: DeferredResultResponseEntity
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.re_claim_device_using_delete_with_http_info(device_name, **kwargs) # noqa: E501
else:
(data) = self.re_claim_device_using_delete_with_http_info(device_name, **kwargs) # noqa: E501
return data
def re_claim_device_using_delete_with_http_info(self, device_name, **kwargs): # noqa: E501
"""reClaimDevice # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.re_claim_device_using_delete_with_http_info(device_name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_name: deviceName (required)
:return: DeferredResultResponseEntity
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['device_name'] # 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 re_claim_device_using_delete" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'device_name' is set
if ('device_name' not in params or
params['device_name'] is None):
raise ValueError("Missing the required parameter `device_name` when calling `re_claim_device_using_delete`") # noqa: E501
collection_formats = {}
path_params = {}
if 'device_name' in params:
path_params['deviceName'] = params['device_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/customer/device/{deviceName}/claim', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DeferredResultResponseEntity', # 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 save_device_credentials_using_post(self, body, **kwargs): # noqa: E501
"""saveDeviceCredentials # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.save_device_credentials_using_post(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DeviceCredentials body: deviceCredentials (required)
:return: DeviceCredentials
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.save_device_credentials_using_post_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.save_device_credentials_using_post_with_http_info(body, **kwargs) # noqa: E501
return data
def save_device_credentials_using_post_with_http_info(self, body, **kwargs): # noqa: E501
"""saveDeviceCredentials # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.save_device_credentials_using_post_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DeviceCredentials body: deviceCredentials (required)
:return: DeviceCredentials
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 save_device_credentials_using_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 `save_device_credentials_using_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(
['*/*']) # 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 = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/device/credentials', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DeviceCredentials', # 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 save_device_using_post(self, body, **kwargs): # noqa: E501
"""saveDevice # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.save_device_using_post(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param Device body: device (required)
:param str access_token: accessToken
:param str entity_group_id: entityGroupId
:return: Device
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.save_device_using_post_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.save_device_using_post_with_http_info(body, **kwargs) # noqa: E501
return data
def save_device_using_post_with_http_info(self, body, **kwargs): # noqa: E501
"""saveDevice # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.save_device_using_post_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param Device body: device (required)
:param str access_token: accessToken
:param str entity_group_id: entityGroupId
:return: Device
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body', 'access_token', 'entity_group_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 save_device_using_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 `save_device_using_post`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'access_token' in params:
query_params.append(('accessToken', params['access_token'])) # noqa: E501
if 'entity_group_id' in params:
query_params.append(('entityGroupId', params['entity_group_id'])) # noqa: E501
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(
['*/*']) # 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 = ['X-Authorization'] # noqa: E501
return self.api_client.call_api(
'/api/device{?accessToken,entityGroupId}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Device', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 41.548715
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0
| 7
|
56235ef27c2e94e5b76ce63e550946e58b708364
| 21,746
|
py
|
Python
|
Climate.py
|
gschivley/co-fire
|
b364063fe36b733aee2a903b7d570d2ab11b9096
|
[
"MIT"
] | 2
|
2015-10-28T15:49:10.000Z
|
2019-09-15T06:08:10.000Z
|
Climate.py
|
gschivley/co-fire
|
b364063fe36b733aee2a903b7d570d2ab11b9096
|
[
"MIT"
] | null | null | null |
Climate.py
|
gschivley/co-fire
|
b364063fe36b733aee2a903b7d570d2ab11b9096
|
[
"MIT"
] | 2
|
2016-12-06T10:16:24.000Z
|
2021-05-18T12:51:21.000Z
|
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 18 16:09:30 2014
@author: Greg
"""
import numpy as np
from scipy.interpolate import interp1d
from scipy.signal import fftconvolve
from scipy.integrate import cumtrapz
# Radiative efficiencies of each gas, calculated from AR5 & AR5 SM
co2_re, ch4_re, n2o_re, sf6_re = 1.756E-15, 1.277E-13 * 1.65, 3.845E-13, 2.010E-11
# AR5 2013 IRF values
a0, a1, a2, a3 = 0.2173, 0.224, 0.2824, 0.2763
tau1, tau2, tau3 = 394.4, 36.54, 4.304
def f0(t):
return a0
def f1(t):
return a1*np.exp(-t/tau1)
def f2(t):
return a2*np.exp(-t/tau2)
def f3(t):
return a3*np.exp(-t/tau3)
def CO2_AR5(t):
return f0(t) + f1(t) + f2(t) + f3(t)
#Methane response fuction
CH4tau = 12.4
def CH4_AR5(t):
return np.exp(-t/CH4tau)
#N2O response fuction
N2Otau = 121
def N2O_AR5(t):
return np.exp(-t/CH4tau)
#SF6 response fuction
SF6tau = 3200
def SF6_AR5(t):
return np.exp(-t/CH4tau)
#Temperature response function to radiative forcing
def AR5_GTP(t):
c1, c2, d1, d2 = 0.631, 0.429, 8.4, 409.5
""" The default response function for radiative forcing from AR5. Source is \
Boucher (2008). ECR is 3.9K, which is on the high side.
Convolve with radiative forcing to get temperature.
"""
return c1/d1*np.exp(-t/d1) + c2/d2*np.exp(-t/d2)
def Alt_GTP(t):
c1, c2, d1, d2 = 0.43, 0.32, 2.57, 82.24
""" The response function for radiative forcing. Taken from Olivie and Peters (2013),
Table 4, using the CMIP5 data. This has a slightly lower climate response value than
Boucher (2008), which is used in AR5.
Convolve with radiative forcing to get temperature.
"""
return c1/d1*np.exp(-t/d1) + c2/d2*np.exp(-t/d2)
def Alt_low_GTP(t):
c1, c2, d1, d2 = 0.43 / (1 + 0.29), 0.32 / (1 + 0.59), 2.57 * 1.46, 82.24 * 2.92
#c1, c2, d1, d2 = 0.48 * (1 - 0.3), 0.20 * (1 - 0.52), 7.15 * 1.35, 105.55 * 1.38
#c1, c2, d1, d2 = 0.48 * (1 - 0.3), 0.20 * (1 - 0.52), 7.15, 105.55
#c1, c2, d1, d2 = 0.631 * 0.7, 0.429 * 0.7, 8.4, 409.5
""" The response function for radiative forcing. Taken from Olivie and Peters (2013),
Table 4, using the CMIP5 data. This has a lower climate response value than AR5.
The uncertainty in Table 4 assumes lognormal distributions, which is why values less
than the median are determined by dividing by (1 + uncertainty).
Convolve with radiative forcing to get temperature.
"""
return c1/d1*np.exp(-t/d1) + c2/d2*np.exp(-t/d2)
def Alt_high_GTP(t):
c1, c2, d1, d2 = 0.43 * 1.29, 0.32 * 1.59, 2.57 / (1 + 0.46), 82.24 / (1 + 1.92)
#c1, c2, d1, d2 = 0.48 * 1.3, 0.20 * 1.52, 7.15 * (1 - 0.35), 105.55 * (1 - 0.38)
#c1, c2, d1, d2 = 0.48 * 1.2, 0.20 * 1.52, 7.15, 105.55
#c1, c2, d1, d2 = 0.631, 0.429 * 1.3, 8.4, 409.5
""" The response function for radiative forcing. Taken from Olivie and Peters (2013),
Table 4, using the CMIP5 data. This has a higher climate response value than AR5.
The uncertainty in Table 4 assumes lognormal distributions, which is why values less
than the median are determined by dividing by (1 + uncertainty).
Convolve with radiative forcing to get temperature.
"""
return c1/d1*np.exp(-t/d1) + c2/d2*np.exp(-t/d2)
def CO2_rf(emission, years, tstep=0.01, kind='linear'):
"""Transforms an array of CO2 emissions into radiative forcing with user-
defined time-step.
emission: an array of emissions, should be same size as years
years: an array of years at which the emissions take place
tstep: time step to be used in the calculations
kind: the type of interpolation to use; can be linear or cubic
"""
#emission is a series of emission numbers, years should match up with it
if min(years) > 0:
years = years - min(years)
end = max(years)
f = interp1d(years, emission, kind=kind)
time = np.linspace(years[0], end, end/tstep + 1)
inter_emissions = f(time)
atmos = np.resize(fftconvolve(CO2_AR5(time), inter_emissions), time.size) * tstep
rf = atmos * co2_re
fil = np.zeros_like(time, dtype=bool)
for i in time:
if i == int(i):
fil[i/tstep] = True
return rf[fil]
def CO2_rate(emission, years, tstep=0.01, kind='linear'):
"""Transforms an array of CO2 emissions into radiative forcing with user-
defined time-step.
emission: an array of emissions, should be same size as years
years: an array of years at which the emissions take place
tstep: time step to be used in the calculations
kind: the type of interpolation to use; can be linear or cubic
"""
#emission is a series of emission numbers, years should match up with it
if min(years) > 0:
years = years - min(years)
end = max(years)
f = interp1d(years, emission, kind=kind)
time = np.linspace(years[0], end, end/tstep + 1)
inter_emissions = f(time)
atmos = np.resize(fftconvolve(CO2_AR5(time), inter_emissions), time.size) * tstep
rf = atmos * co2_re
dx = np.gradient(time)
rate = np.gradient(rf, dx)
fil = np.zeros_like(time, dtype=bool)
for i in time:
if i == int(i):
fil[i/tstep] = True
return rate[fil]
def CO2_crf(emission, years, tstep=0.01, kind='linear'):
"""Transforms an array of CO2 emissions into radiative forcing with user-
defined time-step.
emission: an array of emissions, should be same size as years
years: an array of years at which the emissions take place
tstep: time step to be used in the calculations
kind: the type of interpolation to use; can be linear or cubic
"""
#emission is a series of emission numbers, years should match up with it
if min(years) > 0:
years = years - min(years)
end = max(years)
f = interp1d(years, emission, kind=kind)
time = np.linspace(years[0], end, end/tstep + 1)
inter_emissions = f(time)
atmos = np.resize(fftconvolve(CO2_AR5(time), inter_emissions), time.size) * tstep
rf = atmos * co2_re
crf = cumtrapz(rf, dx = tstep, initial = 0)
fil = np.zeros_like(time, dtype=bool)
for i in time:
if i == int(i):
fil[i/tstep] = True
return crf[fil]
def CO2_temp(emission, years, tstep=0.01, kind='linear', source='AR5'):
"""Transforms an array of CO2 emissions into temperature with user-defined
time-step. Default temperature IRF is from AR5, use 'Alt_low' or 'Alt_high'
for a sensitivity test.
emission: an array of emissions, should be same size as years
years: an array of years at which the emissions take place
tstep: time step to be used in the calculations
kind: the type of interpolation to use; can be linear or cubic
source: the source of parameters for the temperature IRF. default is AR5,
'Alt', 'Alt_low', and 'Alt_high' are also options.
"""
if min(years) > 0:
years = years - min(years)
end = max(years)
f = interp1d(years, emission, kind=kind, bounds_error=False)
time = np.linspace(min(years), end, end/tstep + 1)
inter_emissions = f(time)
atmos = np.resize(fftconvolve(CO2_AR5(time), inter_emissions), time.size) * tstep
rf = atmos * co2_re
if source == 'AR5':
temp = np.resize(fftconvolve(AR5_GTP(time), rf), time.size) * tstep
elif source == 'Alt':
temp = np.resize(fftconvolve(Alt_GTP(time), rf), time.size) * tstep
elif source == 'Alt_low':
temp = np.resize(fftconvolve(Alt_low_GTP(time), rf), time.size) * tstep
elif source == 'Alt_high':
temp = np.resize(fftconvolve(Alt_high_GTP(time), rf), time.size) * tstep
fil = np.zeros_like(time, dtype=bool)
for i in time:
if i == int(i):
fil[i/tstep] = True
return temp[fil]
def ch42co2(t, alpha=0.51):
"""As methane decays some fraction is converted to CO2. This function is
from Boucher (2009). By default it converts 51%. The convolution of this
function with the methane emission profile gives the CO2 emission profile.
t: time
alpha: fraction of methane converted to CO2
"""
ch4tau = 12.4
return 1/ch4tau * alpha * np.exp(-t/ch4tau)
def CH4_rf(emission, years, tstep=0.01, kind='linear',
decay=True):
"""Transforms an array of methane emissions into radiative forcing with user-defined
time-step.
emission: an array of emissions, should be same size as years
years: an array of years at which the emissions take place
tstep: time step to be used in the calculations
kind: the type of interpolation to use; can be linear or cubic
"""
if min(years) > 0:
years = years - min(years)
end = max(years)
fch4 = interp1d(years, emission, kind=kind)
time = np.linspace(years[0], end, end/tstep + 1)
ch4_inter_emissions = fch4(time)
ch4_atmos = np.resize(fftconvolve(CH4_AR5(time), ch4_inter_emissions),
time.size) * tstep
co2 = np.resize(fftconvolve(ch42co2(time), ch4_inter_emissions),
time.size) * tstep
co2_atmos = np.resize(fftconvolve(CO2_AR5(time), co2),
time.size) * tstep
if decay == True:
rf = ch4_atmos * ch4_re + co2_atmos * co2_re
else:
rf = ch4_atmos * ch4_re
fil = np.zeros_like(time, dtype=bool)
for i in time:
if i == int(i):
fil[i/tstep] = True
return rf[fil]
def CH4_rf_cc(emission, years, tstep=0.01, kind='linear',
decay=True):
"""Transforms an array of methane emissions into radiative forcing with user-defined
time-step, accounting for climate-carbon feedbacks.
emission: an array of emissions, should be same size as years
years: an array of years at which the emissions take place
tstep: time step to be used in the calculations
kind: the type of interpolation to use; can be linear or cubic
"""
gamma = (44.0/12.0) * 10**12
if min(years) > 0:
years = years - min(years)
end = max(years)
fch4 = interp1d(years, emission, kind=kind)
time = np.linspace(years[0], end, end/tstep + 1)
ch4_inter_emissions = fch4(time)
ch4_atmos = np.resize(fftconvolve(CH4_AR5(time), ch4_inter_emissions),
time.size) * tstep
co2 = np.resize(fftconvolve(ch42co2(time), ch4_inter_emissions),
time.size) * tstep
co2_atmos = np.resize(fftconvolve(CO2_AR5(time), co2),
time.size) * tstep
cc_co2 = CH4_cc_tempforrf(emission, years) * gamma
cc_co2_atmos = np.resize(fftconvolve(CO2_AR5(time), cc_co2),
time.size) * tstep
if decay == True:
rf = ch4_atmos * ch4_re + (co2_atmos +cc_co2_atmos) * co2_re
else:
rf = ch4_atmos * ch4_re + (cc_co2_atmos) * co2_re
fil = np.zeros_like(time, dtype=bool)
for i in time:
if i == int(i):
fil[i/tstep] = True
return rf[fil]
def CH4_rate(emission, years, tstep=0.01, kind='linear'):
"""Transforms an array of methane emissions into radiative forcing with user-defined
time-step, accounting for climate-carbon feedbacks.
emission: an array of emissions, should be same size as years
years: an array of years at which the emissions take place
tstep: time step to be used in the calculations
kind: the type of interpolation to use; can be linear or cubic
"""
gamma = (44.0/12.0) * 10**12
if min(years) > 0:
years = years - min(years)
end = max(years)
fch4 = interp1d(years, emission, kind=kind)
time = np.linspace(years[0], end, end/tstep + 1)
ch4_inter_emissions = fch4(time)
ch4_atmos = np.resize(fftconvolve(CH4_AR5(time), ch4_inter_emissions),
time.size) * tstep
co2 = np.resize(fftconvolve(ch42co2(time), ch4_inter_emissions),
time.size) * tstep
co2_atmos = np.resize(fftconvolve(CO2_AR5(time), co2),
time.size) * tstep
cc_co2 = CH4_cc_tempforrf(emission, years) * gamma
cc_co2_atmos = np.resize(fftconvolve(CO2_AR5(time), cc_co2),
time.size) * tstep
rf = ch4_atmos * ch4_re + (co2_atmos +cc_co2_atmos) * co2_re
dx = np.gradient(time)
rate = np.gradient(rf, dx)
fil = np.zeros_like(time, dtype=bool)
for i in time:
if i == int(i):
fil[i/tstep] = True
return rate[fil]
def CH4_crf(emission, years, tstep=0.01, kind='linear',
decay=True):
"""Transforms an array of methane emissions into radiative forcing with user-defined
time-step.
emission: an array of emissions, should be same size as years
years: an array of years at which the emissions take place
tstep: time step to be used in the calculations
kind: the type of interpolation to use; can be linear or cubic
"""
if min(years) > 0:
years = years - min(years)
end = max(years)
fch4 = interp1d(years, emission, kind=kind)
time = np.linspace(years[0], end, end/tstep + 1)
ch4_inter_emissions = fch4(time)
ch4_atmos = np.resize(fftconvolve(CH4_AR5(time), ch4_inter_emissions),
time.size) * tstep
co2 = np.resize(fftconvolve(ch42co2(time), ch4_inter_emissions),
time.size) * tstep
co2_atmos = np.resize(fftconvolve(CO2_AR5(time), co2),
time.size) * tstep
if decay == True:
rf = ch4_atmos * ch4_re + co2_atmos * co2_re
else:
rf = ch4_atmos * ch4_re
crf = cumtrapz(rf, dx = 1, initial = 0)
fil = np.zeros_like(time, dtype=bool)
for i in time:
if i == int(i):
fil[i/tstep] = True
return crf[fil]
def CH4_crf_cc(emission, years, tstep=0.01, kind='linear',
decay=True):
"""Transforms an array of methane emissions into radiative forcing with user-defined
time-step.
emission: an array of emissions, should be same size as years
years: an array of years at which the emissions take place
tstep: time step to be used in the calculations
kind: the type of interpolation to use; can be linear or cubic
"""
gamma = (44.0/12.0) * 10**12
if min(years) > 0:
years = years - min(years)
end = max(years)
fch4 = interp1d(years, emission, kind=kind)
time = np.linspace(years[0], end, end/tstep + 1)
ch4_inter_emissions = fch4(time)
ch4_atmos = np.resize(fftconvolve(CH4_AR5(time), ch4_inter_emissions),
time.size) * tstep
co2 = np.resize(fftconvolve(ch42co2(time), ch4_inter_emissions),
time.size) * tstep
co2_atmos = np.resize(fftconvolve(CO2_AR5(time), co2),
time.size) * tstep
cc_co2 = CH4_cc_tempforrf(emission, years) * gamma
cc_co2_atmos = np.resize(fftconvolve(CO2_AR5(time), cc_co2),
time.size) * tstep
if decay == True:
rf = ch4_atmos * ch4_re + (co2_atmos +cc_co2_atmos) * co2_re
else:
rf = ch4_atmos * ch4_re + (cc_co2_atmos) * co2_re
crf = cumtrapz(rf, dx = 1, initial = 0)
fil = np.zeros_like(time, dtype=bool)
for i in time:
if i == int(i):
fil[i/tstep] = True
return crf[fil]
def CH4_temp(emission, years, tstep=0.01, kind='linear', source='AR5',
decay=True):
"""Transforms an array of methane emissions into temperature with user-defined
time-step. Default temperature IRF is from AR5, use 'Alt_low' or 'Alt_high'
for a sensitivity test.
emission: an array of emissions, should be same size as years
years: an array of years at which the emissions take place
tstep: time step to be used in the calculations
kind: the type of interpolation to use; can be linear or cubic
source: the source of parameters for the temperature IRF. default is AR5,
'Alt', 'Alt_low', and 'Alt_high' are also options.
decay: a boolean variable for if methane decay to CO2 should be included
"""
if min(years) > 0:
years = years - min(years)
end = max(years)
f = interp1d(years, emission, kind=kind)
time = np.linspace(years[0], end, end/tstep + 1)
ch4_inter_emissions = f(time)
ch4_atmos = np.resize(fftconvolve(CH4_AR5(time), ch4_inter_emissions),
time.size) * tstep
co2 = np.resize(fftconvolve(ch42co2(time), ch4_inter_emissions),
time.size) * tstep
co2_atmos = np.resize(fftconvolve(CO2_AR5(time), co2),
time.size) * tstep
if decay == True:
rf = ch4_atmos * ch4_re + co2_atmos * co2_re
else:
rf = ch4_atmos * ch4_re
if source == 'AR5':
temp = np.resize(fftconvolve(AR5_GTP(time), rf), time.size) * tstep
elif source == 'Alt':
temp = np.resize(fftconvolve(Alt_GTP(time), rf), time.size) * tstep
elif source == 'Alt_low':
temp = np.resize(fftconvolve(Alt_low_GTP(time), rf), time.size) * tstep
elif source == 'Alt_high':
temp = np.resize(fftconvolve(Alt_high_GTP(time), rf), time.size) * tstep
fil = np.zeros_like(time, dtype=bool)
for i in time:
if i == int(i):
fil[i/tstep] = True
return temp[fil]
def CH4_cc_tempforrf(emission, years, tstep=0.01, kind='linear', source='AR5',
decay=True):
"""Transforms an array of methane emissions into temperature with user-defined
time-step. Default temperature IRF is from AR5, use 'Alt_low' or 'Alt_high'
for a sensitivity test.
emission: an array of emissions, should be same size as years
years: an array of years at which the emissions take place
tstep: time step to be used in the calculations
kind: the type of interpolation to use; can be linear or cubic
source: the source of parameters for the temperature IRF. default is AR5,
'Alt', 'Alt_low', and 'Alt_high' are also options.
decay: a boolean variable for if methane decay to CO2 should be included
"""
if min(years) > 0:
years = years - min(years)
end = max(years)
f = interp1d(years, emission, kind=kind)
time = np.linspace(years[0], end, end/tstep + 1)
ch4_inter_emissions = f(time)
ch4_atmos = np.resize(fftconvolve(CH4_AR5(time), ch4_inter_emissions),
time.size) * tstep
co2 = np.resize(fftconvolve(ch42co2(time), ch4_inter_emissions),
time.size) * tstep
co2_atmos = np.resize(fftconvolve(CO2_AR5(time), co2),
time.size) * tstep
if decay == True:
rf = ch4_atmos * ch4_re + co2_atmos * co2_re
else:
rf = ch4_atmos * ch4_re
if source == 'AR5':
temp = np.resize(fftconvolve(AR5_GTP(time), rf), time.size) * tstep
elif source == 'Alt':
temp = np.resize(fftconvolve(Alt_GTP(time), rf), time.size) * tstep
elif source == 'Alt_low':
temp = np.resize(fftconvolve(Alt_low_GTP(time), rf), time.size) * tstep
elif source == 'Alt_high':
temp = np.resize(fftconvolve(Alt_high_GTP(time), rf), time.size) * tstep
fil = np.zeros_like(time, dtype=bool)
for i in time:
if i == int(i):
fil[i/tstep] = True
return temp
def CH4_temp_cc(emission, years, tstep=0.01, kind='linear', source='AR5',
decay=True):
"""Transforms an array of methane emissions into temperature with user-defined
time-step. Default temperature IRF is from AR5, use 'Alt_low' or 'Alt_high'
for a sensitivity test. Accounts for climate-carbon feedbacks.
emission: an array of emissions, should be same size as years
years: an array of years at which the emissions take place
tstep: time step to be used in the calculations
kind: the type of interpolation to use; can be linear or cubic
source: the source of parameters for the temperature IRF. default is AR5,
'Alt', 'Alt_low', and 'Alt_high' are also options.
decay: a boolean variable for if methane decay to CO2 should be included
"""
gamma = (44.0/12.0) * 10**12
if min(years) > 0:
years = years - min(years)
end = max(years)
f = interp1d(years, emission, kind=kind)
time = np.linspace(years[0], end, end/tstep + 1)
ch4_inter_emissions = f(time)
ch4_atmos = np.resize(fftconvolve(CH4_AR5(time), ch4_inter_emissions),
time.size) * tstep
co2 = np.resize(fftconvolve(ch42co2(time), ch4_inter_emissions),
time.size) * tstep
co2_atmos = np.resize(fftconvolve(CO2_AR5(time), co2),
time.size) * tstep
cc_co2 = CH4_cc_tempforrf(emission, years) * gamma
cc_co2_atmos = np.resize(fftconvolve(CO2_AR5(time), cc_co2),
time.size) * tstep
if decay == True:
rf = ch4_atmos * ch4_re + (co2_atmos + cc_co2_atmos) * co2_re
else:
rf = ch4_atmos * ch4_re + cc_co2_atmos * co2_re
if source == 'AR5':
temp = np.resize(fftconvolve(AR5_GTP(time), rf), time.size) * tstep
elif source == 'Alt':
temp = np.resize(fftconvolve(Alt_GTP(time), rf), time.size) * tstep
elif source == 'Alt_low':
temp = np.resize(fftconvolve(Alt_low_GTP(time), rf), time.size) * tstep
elif source == 'Alt_high':
temp = np.resize(fftconvolve(Alt_high_GTP(time), rf), time.size) * tstep
fil = np.zeros_like(time, dtype=bool)
for i in time:
if i == int(i):
fil[i/tstep] = True
return temp[fil]
| 38.625222
| 89
| 0.626184
| 3,303
| 21,746
| 4.038753
| 0.078414
| 0.028786
| 0.068366
| 0.043178
| 0.913718
| 0.906822
| 0.905847
| 0.897826
| 0.891979
| 0.88958
| 0
| 0.052813
| 0.265106
| 21,746
| 563
| 90
| 38.625222
| 0.781866
| 0.037708
| 0
| 0.846386
| 0
| 0
| 0.012228
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.012048
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
56611d3122796d56549e0656e85ec682d4ccc038
| 7,437
|
py
|
Python
|
tests/test_registrar_name/test_authenticate.py
|
plato79/UnofficialDDNSnix
|
4a2a67cc06a6346f90726c33ee388374b7922f2e
|
[
"MIT"
] | 3
|
2015-10-18T09:14:59.000Z
|
2018-02-25T09:41:58.000Z
|
tests/test_registrar_name/test_authenticate.py
|
plato79/UnofficialDDNSnix
|
4a2a67cc06a6346f90726c33ee388374b7922f2e
|
[
"MIT"
] | 3
|
2015-02-05T00:52:30.000Z
|
2020-04-17T06:21:00.000Z
|
tests/test_registrar_name/test_authenticate.py
|
plato79/UnofficialDDNSnix
|
4a2a67cc06a6346f90726c33ee388374b7922f2e
|
[
"MIT"
] | 3
|
2016-01-09T04:36:10.000Z
|
2020-04-17T06:57:47.000Z
|
#!/usr/bin/env python2.6
import textwrap
import pytest
import time
from tests.test_registrar_name.test_request_json import initialize_simulation
def _heavy_lifting(response, log_file, session, expected_exc, capsys, stdout_expected, stderr_expected, log_expected):
initialize_simulation(response)
with open(log_file.name, 'r') as f:
f.seek(0, 2)
log_before_pos = f.tell()
with pytest.raises(session.RegistrarException) as e:
session.authenticate()
assert expected_exc == str(e.value)
stdout_actual, stderr_actual = capsys.readouterr()
assert stdout_expected == stdout_actual
assert stderr_expected == stderr_actual
with open(log_file.name, 'r') as f:
f.seek(log_before_pos)
log_actual = f.read(10240)
assert log_expected == log_actual
def test_authenticate_missing_json_key(session, log_file, capsys):
response = '{"result":{"code":100,"message":"Command Successful"},"bar":["baz", null, 1.0, 2]}'
json = "{u'bar': [u'baz', None, 1.0, 2], u'result': {u'message': u'Command Successful', u'code': 100}}"
expected_exc = "'session_token' not in JSON."
stdout_expected = textwrap.dedent("""\
Method authenticate start.
Opening connection to {url}
Response: {response}
JSON: {json}
""".format(url="http://127.0.0.1/login", response=response, json=json))
stderr_expected = ''
timestamp = time.strftime("%Y-%m-%dT%H:%M:%S")
log_expected = textwrap.dedent("""\
{ts} DEBUG registrar_base.authenticate Method authenticate start.
{ts} DEBUG registrar_base._request_json Opening connection to {url}
{ts} DEBUG registrar_base.authenticate Response: {response}
{ts} DEBUG registrar_base.authenticate JSON: {json}
""".format(url="http://127.0.0.1/login", response=response, json=json, ts=timestamp))
_heavy_lifting(response, log_file, session, expected_exc, capsys, stdout_expected, stderr_expected, log_expected)
def test_authenticate_missing_json_value(session, log_file, capsys):
response = '{"result":{"code":100,"message":"Command Successful"},"bar":["baz", null, 1.0, 2], "session_token":""}'
json = "{u'bar': [u'baz', None, 1.0, 2], u'result': {u'message': u'Command Successful', u'code': 100}, u'session_token': u''}"
expected_exc = "'session_token' is invalid."
stdout_expected = textwrap.dedent("""\
Method authenticate start.
Opening connection to {url}
Response: {response}
JSON: {json}
""".format(url="http://127.0.0.1/login", response=response, json=json))
stderr_expected = ''
timestamp = time.strftime("%Y-%m-%dT%H:%M:%S")
log_expected = textwrap.dedent("""\
{ts} DEBUG registrar_base.authenticate Method authenticate start.
{ts} DEBUG registrar_base._request_json Opening connection to {url}
{ts} DEBUG registrar_base.authenticate Response: {response}
{ts} DEBUG registrar_base.authenticate JSON: {json}
""".format(url="http://127.0.0.1/login", response=response, json=json, ts=timestamp))
_heavy_lifting(response, log_file, session, expected_exc, capsys, stdout_expected, stderr_expected, log_expected)
def test_authenticate_invalid_json_value(session, log_file, capsys):
response = '{"result":{"code":100,"message":"Command Successful"},"bar":["baz", null, 1.0, 2], "session_token":"127..0.1"}'
json = "{u'bar': [u'baz', None, 1.0, 2], u'result': {u'message': u'Command Successful', u'code': 100}, u'session_token': u'127..0.1'}"
expected_exc = "'session_token' is invalid."
stdout_expected = textwrap.dedent("""\
Method authenticate start.
Opening connection to {url}
Response: {response}
JSON: {json}
""".format(url="http://127.0.0.1/login", response=response, json=json))
stderr_expected = ''
timestamp = time.strftime("%Y-%m-%dT%H:%M:%S")
log_expected = textwrap.dedent("""\
{ts} DEBUG registrar_base.authenticate Method authenticate start.
{ts} DEBUG registrar_base._request_json Opening connection to {url}
{ts} DEBUG registrar_base.authenticate Response: {response}
{ts} DEBUG registrar_base.authenticate JSON: {json}
""".format(url="http://127.0.0.1/login", response=response, json=json, ts=timestamp))
_heavy_lifting(response, log_file, session, expected_exc, capsys, stdout_expected, stderr_expected, log_expected)
def test_authenticate_bad_credentials(session, log_file, capsys):
response = '{"result":{"code":221,"message":"Authorization Error - Username Or Ip Token Invalid"}}'
json = "{u'result': {u'message': u'Authorization Error - Username Or Ip Token Invalid', u'code': 221}}"
expected_exc = "Authorization Error or invalid username and/or password."
stdout_expected = textwrap.dedent("""\
Method authenticate start.
Opening connection to {url}
Response: {response}
JSON: {json}
""".format(url="http://127.0.0.1/login", response=response, json=json))
stderr_expected = ''
timestamp = time.strftime("%Y-%m-%dT%H:%M:%S")
log_expected = textwrap.dedent("""\
{ts} DEBUG registrar_base.authenticate Method authenticate start.
{ts} DEBUG registrar_base._request_json Opening connection to {url}
{ts} DEBUG registrar_name._request_json Response: {response}
{ts} DEBUG registrar_name._request_json JSON: {json}
""".format(url="http://127.0.0.1/login", response=response, json=json, ts=timestamp))
_heavy_lifting(response, log_file, session, expected_exc, capsys, stdout_expected, stderr_expected, log_expected)
# noinspection PyProtectedMember
def test_authenticate_success(session, log_file, capsys):
response = '{"result":{"code":100,"message":"Command Successful"},"session_token":"2352e5c5a0127d2155377664a5543f22a70be187"}'
json = "{u'client_ip': u'127.0.0.1', u'service': u'Name.com API Test Server', u'language': u'en', u'version': u'2.0', u'result': {u'message': u'Command Successful', u'code': 100}, u'server_date': u'2013-12-28 04:46:38'}"
expected_token = "2352e5c5a0127d2155377664a5543f22a70be187"
stdout_expected = textwrap.dedent("""\
Method authenticate start.
Opening connection to {url}
Method authenticate end.
""".format(url="http://127.0.0.1/login", response=response, json=json))
stderr_expected = ''
timestamp = time.strftime("%Y-%m-%dT%H:%M:%S")
log_expected = textwrap.dedent("""\
{ts} DEBUG registrar_base.authenticate Method authenticate start.
{ts} DEBUG registrar_base._request_json Opening connection to {url}
{ts} DEBUG registrar_base.authenticate Method authenticate end.
""".format(url="http://127.0.0.1/login", response=response, json=json, ts=timestamp))
initialize_simulation(response)
with open(log_file.name, 'r') as f:
f.seek(0, 2)
log_before_pos = f.tell()
session.authenticate()
assert expected_token == session._session_token
stdout_actual, stderr_actual = capsys.readouterr()
assert stdout_expected == stdout_actual
assert stderr_expected == stderr_actual
with open(log_file.name, 'r') as f:
f.seek(log_before_pos)
log_actual = f.read(10240)
assert log_expected == log_actual
| 52.006993
| 224
| 0.671507
| 953
| 7,437
| 5.071354
| 0.128017
| 0.03145
| 0.062901
| 0.07035
| 0.860749
| 0.846472
| 0.836954
| 0.811711
| 0.811711
| 0.811711
| 0
| 0.03595
| 0.184617
| 7,437
| 143
| 225
| 52.006993
| 0.761049
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| 0
| 0.064516
| 0.508263
| 0.127743
| 0
| 0
| 0
| 0
| 0.064516
| 1
| 0.048387
| false
| 0.008065
| 0.032258
| 0
| 0.080645
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
| 0
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| 1
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| null | 0
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| 0
| 0
|
0
| 7
|
56921eb1552ddc26968b70747946e6c5f2331bdd
| 7,615
|
py
|
Python
|
num_py-main/unittests/unittests.py
|
AnthonyNg404/61C
|
167f1d2889cdb98d23ce1b0d00b4fbafcea9f9ad
|
[
"Unlicense"
] | null | null | null |
num_py-main/unittests/unittests.py
|
AnthonyNg404/61C
|
167f1d2889cdb98d23ce1b0d00b4fbafcea9f9ad
|
[
"Unlicense"
] | null | null | null |
num_py-main/unittests/unittests.py
|
AnthonyNg404/61C
|
167f1d2889cdb98d23ce1b0d00b4fbafcea9f9ad
|
[
"Unlicense"
] | null | null | null |
from utils import *
from unittest import TestCase
"""
For each operation, you should write tests to test on matrices of different sizes.
Hint: use dp_mc_matrix to generate dumbpy and numc matrices with the same data and use
cmp_dp_nc_matrix to compare the results
"""
class TestAdd(TestCase):
def test_small_add(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(2, 2, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(2, 2, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "add")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_medium_add(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(200, 200, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(200, 200, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "add")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_large_add(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(10000, 10000, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(10000, 10000, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "add")
self.assertTrue(is_correct)
print_speedup(speed_up)
class TestSub(TestCase):
def test_small_sub(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(2, 2, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(2, 2, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "add")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_medium_sub(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(200, 200, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(200, 200, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "add")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_large_sub(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(10000, 10000, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(10000, 10000, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "add")
self.assertTrue(is_correct)
print_speedup(speed_up)
class TestAbs(TestCase):
def test_small_abs(self):
# TODO: YOUR CODE HERE
dp_mat, nc_mat = rand_dp_nc_matrix(2, 2, seed=0)
is_correct, speed_up = compute([dp_mat], [nc_mat], "abs")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_medium_abs(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(200, 200, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(200, 200, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "add")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_large_abs(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(10000, 10000, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(10000, 10000, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "add")
self.assertTrue(is_correct)
print_speedup(speed_up)
class TestNeg(TestCase):
def test_small_neg(self):
# TODO: YOUR CODE HERE
dp_mat, nc_mat = rand_dp_nc_matrix(2, 2, seed=0)
is_correct, speed_up = compute([dp_mat], [nc_mat], "neg")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_medium_neg(self):
# TODO: YOUR CODE HERE
dp_mat, nc_mat = rand_dp_nc_matrix(200, 200, seed=0)
is_correct, speed_up = compute([dp_mat], [nc_mat], "neg")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_large_neg(self):
# TODO: YOUR CODE HERE
dp_mat, nc_mat = rand_dp_nc_matrix(10000, 10000, seed=0)
is_correct, speed_up = compute([dp_mat], [nc_mat], "neg")
self.assertTrue(is_correct)
print_speedup(speed_up)
class TestMul(TestCase):
def test_small_mul2(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(2, 2, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(2, 2, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "mul")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_small_mul4(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(4, 4, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(4, 4, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "mul")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_medium_mul16(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(16, 16, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(16, 16, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "mul")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_small_mul5(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(5, 5, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(5, 5, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "mul")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_large_mul(self):
# TODO: YOUR CODE HERE
dp_mat1, nc_mat1 = rand_dp_nc_matrix(1000, 1000, seed=0)
dp_mat2, nc_mat2 = rand_dp_nc_matrix(1000, 1000, seed=1)
is_correct, speed_up = compute([dp_mat1, dp_mat2], [nc_mat1, nc_mat2], "mul")
self.assertTrue(is_correct)
print_speedup(speed_up)
class TestPow(TestCase):
def test_small_pow(self):
# TODO: YOUR CODE HERE
dp_mat, nc_mat = rand_dp_nc_matrix(2, 2, seed=0)
is_correct, speed_up = compute([dp_mat, 3], [nc_mat, 3], "pow")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_medium_pow(self):
# TODO: YOUR CODE HERE
dp_mat, nc_mat = rand_dp_nc_matrix(200, 200, seed=0)
is_correct, speed_up = compute([dp_mat, 59], [nc_mat, 59], "pow")
self.assertTrue(is_correct)
print_speedup(speed_up)
def test_large_pow(self):
# TODO: YOUR CODE HERE
dp_mat, nc_mat = rand_dp_nc_matrix(200, 200, seed=0)
is_correct, speed_up = compute([dp_mat, 988], [nc_mat, 988], "pow")
self.assertTrue(is_correct)
print_speedup(speed_up)
class TestGet(TestCase):
def test_get(self):
# TODO: YOUR CODE HERE
dp_mat, nc_mat = rand_dp_nc_matrix(2, 2, seed=0)
rand_row = np.random.randint(dp_mat.shape[0])
rand_col = np.random.randint(dp_mat.shape[1])
self.assertEqual(round(dp_mat[rand_row][rand_col], decimal_places),
round(nc_mat[rand_row][rand_col], decimal_places))
class TestSet(TestCase):
def test_set(self):
# TODO: YOUR CODE HERE
dp_mat, nc_mat = rand_dp_nc_matrix(2, 2, seed=0)
rand_row = np.random.randint(dp_mat.shape[0])
rand_col = np.random.randint(dp_mat.shape[1])
self.assertEquals(round(dp_mat[rand_row][rand_col], decimal_places),
round(nc_mat[rand_row][rand_col], decimal_places))
class TestShape(TestCase):
def test_shape(self):
dp_mat, nc_mat = rand_dp_nc_matrix(2, 2, seed=0)
self.assertTrue(dp_mat.shape == nc_mat.shape)
| 40.505319
| 86
| 0.653053
| 1,207
| 7,615
| 3.772162
| 0.085336
| 0.079069
| 0.081265
| 0.110696
| 0.875686
| 0.875686
| 0.875686
| 0.867999
| 0.865803
| 0.852625
| 0
| 0.058571
| 0.235456
| 7,615
| 187
| 87
| 40.721925
| 0.723463
| 0.060538
| 0
| 0.640288
| 1
| 0
| 0.008687
| 0
| 0
| 0
| 0
| 0.005348
| 0.165468
| 1
| 0.165468
| false
| 0
| 0.014388
| 0
| 0.244604
| 0.143885
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 0
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| null | 0
| 0
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| 0
| 0
|
0
| 7
|
3b2b3a7b2313006b046856225dd02e05f2256544
| 17,818
|
py
|
Python
|
src/SocialNetwork_API/arango_core/core.py
|
HoangNguyenHuy/SocialNetwork
|
495062d9b85cfdaa3df41002c2c4a88ab4b53446
|
[
"MIT"
] | null | null | null |
src/SocialNetwork_API/arango_core/core.py
|
HoangNguyenHuy/SocialNetwork
|
495062d9b85cfdaa3df41002c2c4a88ab4b53446
|
[
"MIT"
] | null | null | null |
src/SocialNetwork_API/arango_core/core.py
|
HoangNguyenHuy/SocialNetwork
|
495062d9b85cfdaa3df41002c2c4a88ab4b53446
|
[
"MIT"
] | null | null | null |
from django.utils import timezone
from arango import ArangoClient
from datetime import date, datetime, timedelta
from django.conf import settings
from SocialNetwork_API.const import ActionType, CollectionType
class ArangoCore(object):
@classmethod
def clean_data(cls, data):
if 'tip_amount' in data:
data['tip_amount'] = float(data['tip_amount'])
if '_state' in data:
del data['_state']
if '_binding_group_names' in data:
del data['_binding_group_names']
for key in data:
if isinstance(data[key], date) or isinstance(data[key], datetime):
data[key] = data[key].isoformat()
# simplejson.dumps(data['tip_amount'], use_decimal=True)
return data
@classmethod
def get_client(cls):
try:
return ArangoClient(
protocol='http',
host=settings.ARANGODB_HOST,
port=settings.ARANGODB_PORT,
username='root',
password=settings.ARANGODB_ROOT_PASS,
enable_logging=True
)
except Exception as exception:
raise exception
@classmethod
def get_async(cls):
try:
database = cls.get_database()
return database.async(return_result=True)
except Exception as exception:
raise exception
@classmethod
def get_batch(cls):
try:
database = cls.get_database()
return database.batch(return_result=False)
except Exception as exception:
raise exception
@classmethod
def get_database(cls):
try:
client = cls.get_client()
arangodb_name = settings.ARANGODB_NAME
if settings.ARANGODB_IN_TEST_MODE:
arangodb_name = '{0}{1}'.format(settings.ARANGODB_NAME, settings.ARANGODB_TEST_SUBFIX)
return client.database(arangodb_name, username=settings.ARANGODB_USER, password=settings.ARANGODB_PASS)
except Exception as exception:
raise exception
@classmethod
def get_graph(cls):
try:
database = cls.get_database()
arangodb__graph_name = settings.ARANGODB_GRAPH_NAME
if settings.ARANGODB_IN_TEST_MODE:
arangodb__graph_name = '{0}{1}'.format(settings.ARANGODB_GRAPH_NAME, settings.ARANGODB_TEST_SUBFIX)
return database.graph(arangodb__graph_name)
except Exception as exception:
raise exception
# region vertex_collection
@classmethod
def get_vertex_collection(cls, collection_name):
try:
graph = cls.get_graph()
return graph.vertex_collection(collection_name)
except Exception as exception:
raise exception
@classmethod
def get_all_vertex_in_collection(cls, collection_name):
try:
collection = cls.get_vertex_collection(collection_name)
return collection.all()
except Exception as exception:
raise exception
@classmethod
def get_vertex_in_collection(cls, collection_name, key):
try:
collection = cls.get_vertex_collection(collection_name)
return collection[key]
except Exception as exception:
raise exception
@classmethod
def has_vertex_in_collection(cls, collection_name, condition):
try:
collection = cls.get_vertex_collection(collection_name)
result = collection.find(condition, 0, 1)
return len(result._data['result']) > 0
except Exception as exception:
raise exception
@classmethod
def find_vertex_in_collection(cls, collection_name, condition):
try:
collection = cls.get_vertex_collection(collection_name)
result = collection.find(condition)
if result:
return result._data['result']
else:
return []
except Exception as exception:
raise exception
@classmethod
def add_vertex_to_collection(cls, collection_name, data, transaction=None):
try:
data['_key'] = str(data['id'])
data = cls.clean_data(data)
if transaction:
collection = transaction.collection(collection_name)
collection.insert(data)
else:
collection = cls.get_vertex_collection(collection_name)
collection.insert(data)
return True
except Exception as exception:
raise exception
@classmethod
def update_vertex_in_collection(cls, collection_name, data, transaction=None):
try:
data['_key'] = str(data['id'])
data = cls.clean_data(data)
if transaction:
collection = transaction.collection(collection_name)
collection.update(data)
else:
collection = cls.get_vertex_collection(collection_name)
collection.update(data)
return True
except Exception as exception:
raise exception
@classmethod
def delete_vertex_from_collection(cls, collection_name, key, transaction=None):
try:
if transaction:
vertex = transaction.collection(collection_name)[key]
if vertex:
collection = transaction.collection(collection_name)
collection.delete(vertex)
else:
vertex = cls.get_vertex_in_collection(collection_name, key)
if vertex:
collection = cls.get_vertex_collection(collection_name)
collection.delete(vertex)
return True
except Exception as exception:
raise exception
@classmethod
def delete_vertexes_from_collection(cls, collection_name, vertexes, transaction=None):
try:
collection = transaction.collection(collection_name) if transaction else cls.get_vertex_collection(
collection_name)
for vertex in vertexes:
collection.delete(vertex)
return True
except Exception as exception:
raise exception
# end region vertex_collection
# region edge_collection
@classmethod
def get_edge_collection(cls, collection_name):
try:
graph = cls.get_graph()
return graph.edge_collection(collection_name)
except Exception as exception:
raise exception
@classmethod
def get_edge_in_collection(cls, collection_name, key):
try:
collection = cls.get_edge_collection(collection_name)
return collection[key]
except Exception as exception:
raise exception
@classmethod
def find_edge_in_collection(cls, collection_name, condition):
try:
collection = cls.get_edge_collection(collection_name)
result = collection.find(condition)
if result:
return result._data['result']
else:
return []
except Exception as exception:
raise exception
@classmethod
def add_edge_to_collection_in_async(cls, collection_name, from_collection_name, from_collection_key, to_collection_name,
to_collection_key, async):
try:
_key = '{0}-{1}'.format(from_collection_key, to_collection_key)
_from = '{0}/{1}'.format(from_collection_name, from_collection_key)
_to = '{0}/{1}'.format(to_collection_name, to_collection_key)
data = {'_key': _key, '_from': _from, '_to': _to,
'created_at': timezone.now().isoformat(), 'updated_at': timezone.now().isoformat()}
async.collection(collection_name).insert(data)
return True
except Exception as exception:
raise exception
@classmethod
def add_edge_to_collection_in_batch(cls, collection_name, from_collection_name, from_collection_key,
to_collection_name,
to_collection_key, batch):
try:
_key = '{0}-{1}'.format(from_collection_key, to_collection_key)
_from = '{0}/{1}'.format(from_collection_name, from_collection_key)
_to = '{0}/{1}'.format(to_collection_name, to_collection_key)
data = {'_key': _key, '_from': _from, '_to': _to}
batch.collection(collection_name).insert(data)
return True
except Exception as exception:
raise exception
@classmethod
def add_edge_to_collection(cls, collection_name, from_collection_name, from_collection_key, to_collection_name,
to_collection_key, transaction=None):
try:
_key = '{0}-{1}'.format(from_collection_key, to_collection_key)
_from = '{0}/{1}'.format(from_collection_name, from_collection_key)
_to = '{0}/{1}'.format(to_collection_name, to_collection_key)
data = {'_key': _key, '_from': _from, '_to': _to,
'created_at': timezone.now().isoformat(), 'updated_at': timezone.now().isoformat()}
if transaction:
collection = transaction.collection(collection_name)
collection.insert(data)
else:
collection = cls.get_edge_collection(collection_name)
collection.insert(data)
return True
except Exception as exception:
raise exception
@classmethod
def update_edge_in_collection(cls, collection_name, data, transaction=None):
try:
if transaction:
collection = transaction.collection(collection_name)
collection.update(data)
else:
collection = cls.get_edge_collection(collection_name)
collection.update(data)
return True
except Exception as exception:
raise exception
@classmethod
def delete_edge_from_collection(cls, collection_name, key, transaction=None):
try:
if transaction:
edge = transaction.collection(collection_name)[key]
if edge:
collection = transaction.collection(collection_name)
collection.delete(edge)
else:
edge = cls.get_edge_in_collection(collection_name, key)
if edge:
collection = cls.get_edge_collection(collection_name)
collection.delete(edge)
return True
except Exception as exception:
raise exception
@classmethod
def delete_edges_from_collection(cls, collection_name, edges, transaction=None):
try:
collection = transaction.collection(collection_name) if transaction else cls.get_edge_collection(
collection_name)
for edge in edges:
collection.delete(edge)
return True
except Exception as exception:
raise exception
@classmethod
def truncate_collection(cls, collection_name, collection_type=CollectionType.VERTEX):
# collection_type: 1-Vertex 2-Edge
try:
if collection_type == CollectionType.VERTEX:
collection = cls.get_vertex_collection(collection_name)
else:
collection = cls.get_edge_collection(collection_name)
collection.truncate()
return True
except Exception as exception:
raise exception
@classmethod
def add_activity_edge_to_collection(cls, collection_name, from_collection_name, from_collection_key,
to_collection_name, to_collection_key, content_id, transaction=None):
try:
_key = '{0}-{1}'.format(from_collection_key, to_collection_key)
_from = '{0}/{1}'.format(from_collection_name, from_collection_key)
_to = '{0}/{1}'.format(to_collection_name, to_collection_key)
data = {'_key': _key, '_from': _from, '_to': _to,
'created_at': timezone.now().isoformat(), 'updated_at': timezone.now().isoformat(),
'content_id': content_id}
if transaction:
collection = transaction.collection(collection_name)
collection.insert(data)
else:
collection = cls.get_edge_collection(collection_name)
collection.insert(data)
return True
except Exception as exception:
raise exception
@classmethod
def add_channel_to_collection(cls, collection_name, from_collection_name, from_collection_key, to_collection_name,
to_collection_key, transaction=None):
try:
expiration_date = datetime.utcnow().date() + timedelta(days=(7))
expiration_date = expiration_date.isoformat()
_key = '{0}-{1}'.format(from_collection_key, to_collection_key)
_from = '{0}/{1}'.format(from_collection_name, from_collection_key)
_to = '{0}/{1}'.format(to_collection_name, to_collection_key)
data = {'_key': _key, '_from': _from, '_to': _to, 'name': to_collection_key,
'expiration_date': expiration_date,
'created_at': timezone.now().isoformat(), 'updated_at': timezone.now().isoformat()}
if transaction:
collection = transaction.collection(collection_name)
collection.insert(data)
else:
collection = cls.get_edge_collection(collection_name)
collection.insert(data)
return True
except Exception as exception:
raise exception
@classmethod
def add_playlist_content_edge_to_collection(cls, collection_name, from_collection_name, from_collection_key,
to_collection_name, to_collection_key, playlist_content_id, display_order, transaction=None):
try:
_key = '{0}-{1}'.format(from_collection_key, to_collection_key)
_from = '{0}/{1}'.format(from_collection_name, from_collection_key)
_to = '{0}/{1}'.format(to_collection_name, to_collection_key)
data = {'_key': _key, '_from': _from, '_to': _to,
'created_at': timezone.now().isoformat(), 'updated_at': timezone.now().isoformat(),
'playlist_content_id': playlist_content_id, 'display_order': display_order}
if transaction:
collection = transaction.collection(collection_name)
collection.insert(data)
else:
collection = cls.get_edge_collection(collection_name)
collection.insert(data)
return True
except Exception as exception:
raise exception
@classmethod
def add_interacted_content_to_collection(cls, collection_name, from_collection_name, from_collection_key,
to_collection_name, to_collection_key, action_type, transaction=None):
try:
_key = '{0}-{1}'.format(from_collection_key, to_collection_key)
_from = '{0}/{1}'.format(from_collection_name, from_collection_key)
_to = '{0}/{1}'.format(to_collection_name, to_collection_key)
liked = action_type == ActionType.LIKE
commented = action_type == ActionType.COMMENT
tipped = action_type == ActionType.TIP
played = action_type == ActionType.PLAY
data = {'_key': _key, '_from': _from, '_to': _to,
'liked_date': str(timezone.now().date()),
'created_at': timezone.now().isoformat(), 'updated_at': timezone.now().isoformat(),
'liked': liked, 'commented': commented, 'tipped': tipped, 'played': played}
if transaction:
collection = transaction.collection(collection_name)
collection.insert(data)
else:
collection = cls.get_edge_collection(collection_name)
collection.insert(data)
return True
except Exception as exception:
raise exception
@classmethod
def add_user_download_to_collection(cls, collection_name, from_collection_name, from_collection_key, to_collection_name,
to_collection_key, transaction=None):
try:
_key = '{0}'.format(to_collection_key)
_from = '{0}/{1}'.format(from_collection_name, from_collection_key)
_to = '{0}/{1}'.format(to_collection_name, to_collection_key)
data = {'_key': _key, '_from': _from, '_to': _to,
'created_at': timezone.now().isoformat(), 'updated_at': timezone.now().isoformat()}
if transaction:
collection = transaction.collection(collection_name)
collection.insert(data)
else:
collection = cls.get_edge_collection(collection_name)
collection.insert(data)
return True
except Exception as exception:
raise exception
# end region edge_collection
@classmethod
def execute_query(cls, query_string, parameter):
database = ArangoCore.get_database()
result = database.aql.execute(
query_string,
bind_vars=parameter
)
return result._data['result'] if result else []
| 38.5671
| 133
| 0.604557
| 1,796
| 17,818
| 5.693764
| 0.07461
| 0.134168
| 0.098572
| 0.073734
| 0.821533
| 0.792783
| 0.762566
| 0.731469
| 0.700176
| 0.666536
| 0
| 0.004662
| 0.313784
| 17,818
| 462
| 134
| 38.5671
| 0.831684
| 0.01072
| 0
| 0.722798
| 0
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| 0.036037
| 0
| 0
| 0
| 0
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| null | null | 0.005181
| 0.012953
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
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| 1
| 1
| 1
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0
| 8
|
3b7ec09f84792248f5c3d9951a8aa8be1e622ee1
| 193,819
|
py
|
Python
|
komle/bindings/uom.py
|
HemersonRafael/komle
|
01fb03447e063130c6a2c6830e07bbd220518996
|
[
"Apache-2.0"
] | null | null | null |
komle/bindings/uom.py
|
HemersonRafael/komle
|
01fb03447e063130c6a2c6830e07bbd220518996
|
[
"Apache-2.0"
] | null | null | null |
komle/bindings/uom.py
|
HemersonRafael/komle
|
01fb03447e063130c6a2c6830e07bbd220518996
|
[
"Apache-2.0"
] | null | null | null |
# komle/uom_bindings/uom.py
# -*- coding: utf-8 -*-
# PyXB bindings for NM:de5669d245f178776916647737ebc73cda75213c
# Generated 2020-04-19 10:21:50.429390 by PyXB version 1.2.6 using Python 3.7.5.final.0
# Namespace http://www.posc.org/schemas
from __future__ import unicode_literals
import io
import sys
import pyxb
import pyxb.binding
import pyxb.binding.saxer
import pyxb.utils.domutils
import pyxb.utils.six as _six
import pyxb.utils.utility
# Unique identifier for bindings created at the same time
_GenerationUID = pyxb.utils.utility.UniqueIdentifier(
"urn:uuid:d0c8f168-8216-11ea-8441-f1a2c51e3802"
)
# Version of PyXB used to generate the bindings
_PyXBVersion = '1.2.6'
# Generated bindings are not compatible across PyXB versions
if pyxb.__version__ != _PyXBVersion:
raise pyxb.PyXBVersionError(_PyXBVersion)
# A holder for module-level binding classes so we can access them from
# inside class definitions where property names may conflict.
_module_typeBindings = pyxb.utils.utility.Object()
# Import bindings for namespaces imported into schema
import pyxb.binding.datatypes
# NOTE: All namespace declarations are reserved within the binding
Namespace = pyxb.namespace.NamespaceForURI(
"http://www.posc.org/schemas", create_if_missing=True
)
Namespace.configureCategories(['typeBinding', 'elementBinding'])
def CreateFromDocument(xml_text, default_namespace=None, location_base=None):
"""Parse the given XML and use the document element to create a
Python instance.
@param xml_text An XML document. This should be data (Python 2
str or Python 3 bytes), or a text (Python 2 unicode or Python 3
str) in the L{pyxb._InputEncoding} encoding.
@keyword default_namespace The L{pyxb.Namespace} instance to use as the
default namespace where there is no default namespace in scope.
If unspecified or C{None}, the namespace of the module containing
this function will be used.
@keyword location_base: An object to be recorded as the base of all
L{pyxb.utils.utility.Location} instances associated with events and
objects handled by the parser. You might pass the URI from which
the document was obtained.
"""
if pyxb.XMLStyle_saxer != pyxb._XMLStyle:
dom = pyxb.utils.domutils.StringToDOM(xml_text)
return CreateFromDOM(dom.documentElement, default_namespace=default_namespace)
if default_namespace is None:
default_namespace = Namespace.fallbackNamespace()
saxer = pyxb.binding.saxer.make_parser(
fallback_namespace=default_namespace, location_base=location_base
)
handler = saxer.getContentHandler()
xmld = xml_text
if isinstance(xmld, _six.text_type):
xmld = xmld.encode(pyxb._InputEncoding)
saxer.parse(io.BytesIO(xmld))
instance = handler.rootObject()
return instance
def CreateFromDOM(node, default_namespace=None):
"""Create a Python instance from the given DOM node.
The node tag must correspond to an element declaration in this module.
@deprecated: Forcing use of DOM interface is unnecessary; use L{CreateFromDocument}."""
if default_namespace is None:
default_namespace = Namespace.fallbackNamespace()
return pyxb.binding.basis.element.AnyCreateFromDOM(node, default_namespace)
# Union simple type: {http://www.posc.org/schemas}expandedDateTime
# superclasses pyxb.binding.datatypes.anySimpleType
class expandedDateTime(pyxb.binding.basis.STD_union):
"""Expand possibilities of dateTime format to include date, dateTime, gYearMonth, and gYear"""
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'expandedDateTime')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 337, 0
)
_Documentation = 'Expand possibilities of dateTime format to include date, dateTime, gYearMonth, and gYear'
_MemberTypes = (
pyxb.binding.datatypes.dateTime,
pyxb.binding.datatypes.date,
pyxb.binding.datatypes.gYearMonth,
pyxb.binding.datatypes.gYear,
)
expandedDateTime._CF_pattern = pyxb.binding.facets.CF_pattern()
expandedDateTime._CF_enumeration = pyxb.binding.facets.CF_enumeration(
value_datatype=expandedDateTime
)
expandedDateTime._InitializeFacetMap(
expandedDateTime._CF_pattern, expandedDateTime._CF_enumeration
)
Namespace.addCategoryObject("typeBinding", "expandedDateTime", expandedDateTime)
_module_typeBindings.expandedDateTime = expandedDateTime
# Atomic simple type: {http://www.posc.org/schemas}keyid
class keyid(pyxb.binding.datatypes.string):
"""
The keyid type is intended to be a replacement for the DTD, ID type, which is being deprecated. This type is intended to carry the same semantics as the ID type.
"""
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'keyid')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 456, 0
)
_Documentation = '\nThe keyid type is intended to be a replacement for the DTD, ID type, which is being deprecated. This type is intended to carry the same semantics as the ID type.\n '
keyid._InitializeFacetMap()
Namespace.addCategoryObject('typeBinding', 'keyid', keyid)
_module_typeBindings.keyid = keyid
# Complex type {http://www.posc.org/schemas}documentInfoType with content type ELEMENT_ONLY
class documentInfoType(pyxb.binding.basis.complexTypeDefinition):
"""
A convenience schema to capture a set of data that is relevant for many
exchange documents. It includes information about the file that was created,
and high-level information about the data that is being exchanged within the
file.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'documentInfoType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 46, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}_DocClasses uses Python identifier DocClasses
__DocClasses = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "_DocClasses"),
"DocClasses",
"__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemas_DocClasses",
True,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 35, 0
),
)
DocClasses = property(
__DocClasses.value,
__DocClasses.set,
None,
"\nAn abstract element, to serve as a head for a substitution group. The \n_DocClasses is intended to handle any classification systems that a group\nwould model. It may be a simple substitution, or a container with many\nclasses contained in it.\n ",
)
# Element {http://www.posc.org/schemas}DocumentName uses Python identifier DocumentName
__DocumentName = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "DocumentName"),
"DocumentName",
"__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasDocumentName",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 56, 2
),
)
DocumentName = property(
__DocumentName.value,
__DocumentName.set,
None,
"\nAn identifier for the document. This is intended to be unique within the \ncontext of the NamingSystem.\n ",
)
# Element {http://www.posc.org/schemas}DocumentAlias uses Python identifier DocumentAlias
__DocumentAlias = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "DocumentAlias"),
"DocumentAlias",
"__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasDocumentAlias",
True,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 64, 2
),
)
DocumentAlias = property(
__DocumentAlias.value,
__DocumentAlias.set,
None,
"\nZero or more alternate names for the document. These names do not need to be\nunique within the naming system.\n ",
)
# Element {http://www.posc.org/schemas}DocumentDate uses Python identifier DocumentDate
__DocumentDate = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "DocumentDate"),
"DocumentDate",
"__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasDocumentDate",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 72, 2
),
)
DocumentDate = property(
__DocumentDate.value,
__DocumentDate.set,
None,
"\nThe date of the creation of the document. This is not the same as the date\nthat the file was created. For this date, the document is considered to be\nthe set of information associated with this document information.\nFor example, the document may be a seismic binset. This represents the date\nthat the binset was created. The FileCreation information would capture the\ndate that the XML file was created to send or exchange the binset.\n ",
)
# Element {http://www.posc.org/schemas}FileCreationInformation uses Python identifier FileCreationInformation
__FileCreationInformation = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "FileCreationInformation"),
"FileCreationInformation",
"__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasFileCreationInformation",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 93, 2
),
)
FileCreationInformation = property(
__FileCreationInformation.value,
__FileCreationInformation.set,
None,
"\nThe information about the creation of the exchange file. This is not about\nthe creation of the data within the file, but the creation of the file itself.\n ",
)
# Element {http://www.posc.org/schemas}SecurityInformation uses Python identifier SecurityInformation
__SecurityInformation = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "SecurityInformation"),
"SecurityInformation",
"__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasSecurityInformation",
True,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 101, 2
),
)
SecurityInformation = property(
__SecurityInformation.value,
__SecurityInformation.set,
None,
"\nInformation about the security to be applied to this file. More than one\nclassification can be given.\n ",
)
# Element {http://www.posc.org/schemas}Disclaimer uses Python identifier Disclaimer
__Disclaimer = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Disclaimer"),
"Disclaimer",
"__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasDisclaimer",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 109, 2
),
)
Disclaimer = property(
__Disclaimer.value,
__Disclaimer.set,
None,
"\nA free-form string that allows a disclaimer to accompany the information.\n ",
)
# Element {http://www.posc.org/schemas}AuditTrail uses Python identifier AuditTrail
__AuditTrail = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "AuditTrail"),
"AuditTrail",
"__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasAuditTrail",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 116, 2
),
)
AuditTrail = property(
__AuditTrail.value,
__AuditTrail.set,
None,
"\nA collection of events that can document the history of the data.\n ",
)
# Element {http://www.posc.org/schemas}DataOwnerRef uses Python identifier DataOwnerRef
__DataOwnerRef = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "DataOwnerRef"),
"DataOwnerRef",
"__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasDataOwnerRef",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 131, 4
),
)
DataOwnerRef = property(__DataOwnerRef.value, __DataOwnerRef.set, None, None)
# Element {http://www.posc.org/schemas}DataOwnerID uses Python identifier DataOwnerID
__DataOwnerID = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "DataOwnerID"),
"DataOwnerID",
"__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasDataOwnerID",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 132, 4
),
)
DataOwnerID = property(__DataOwnerID.value, __DataOwnerID.set, None, None)
# Element {http://www.posc.org/schemas}Comment uses Python identifier Comment
__Comment = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Comment"),
"Comment",
"__httpwww_posc_orgschemas_documentInfoType_httpwww_posc_orgschemasComment",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 134, 2
),
)
Comment = property(
__Comment.value,
__Comment.set,
None,
"\nAn optional comment about the document.\n ",
)
# Attribute modver uses Python identifier modver
__modver = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "modver"),
"modver",
"__httpwww_posc_orgschemas_documentInfoType_modver",
pyxb.binding.datatypes.string,
fixed=True,
unicode_default="1.1",
)
__modver._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 142, 1
)
__modver._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 142, 1
)
modver = property(__modver.value, __modver.set, None, None)
_ElementMap.update(
{
__DocClasses.name(): __DocClasses,
__DocumentName.name(): __DocumentName,
__DocumentAlias.name(): __DocumentAlias,
__DocumentDate.name(): __DocumentDate,
__FileCreationInformation.name(): __FileCreationInformation,
__SecurityInformation.name(): __SecurityInformation,
__Disclaimer.name(): __Disclaimer,
__AuditTrail.name(): __AuditTrail,
__DataOwnerRef.name(): __DataOwnerRef,
__DataOwnerID.name(): __DataOwnerID,
__Comment.name(): __Comment,
}
)
_AttributeMap.update({__modver.name(): __modver})
_module_typeBindings.documentInfoType = documentInfoType
Namespace.addCategoryObject("typeBinding", "documentInfoType", documentInfoType)
# Complex type {http://www.posc.org/schemas}fileCrType with content type ELEMENT_ONLY
class fileCrType(pyxb.binding.basis.complexTypeDefinition):
"""
A block of information about the creation of the XML file. This is different
than the creation of the data that is included within the file.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'fileCrType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 145, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}FileCreationDate uses Python identifier FileCreationDate
__FileCreationDate = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "FileCreationDate"),
"FileCreationDate",
"__httpwww_posc_orgschemas_fileCrType_httpwww_posc_orgschemasFileCreationDate",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 153, 2
),
)
FileCreationDate = property(
__FileCreationDate.value,
__FileCreationDate.set,
None,
"\nThe date and/or time that the file was created.\n ",
)
# Element {http://www.posc.org/schemas}SoftwareName uses Python identifier SoftwareName
__SoftwareName = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "SoftwareName"),
"SoftwareName",
"__httpwww_posc_orgschemas_fileCrType_httpwww_posc_orgschemasSoftwareName",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 160, 2
),
)
SoftwareName = property(
__SoftwareName.value,
__SoftwareName.set,
None,
"\nIf appropriate, the software that created the file. This is a free form\nstring, and may include whatever information is deemed relevant.\n ",
)
# Element {http://www.posc.org/schemas}FileCreator uses Python identifier FileCreator
__FileCreator = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "FileCreator"),
"FileCreator",
"__httpwww_posc_orgschemas_fileCrType_httpwww_posc_orgschemasFileCreator",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 168, 2
),
)
FileCreator = property(
__FileCreator.value,
__FileCreator.set,
None,
"\nThe person or business associate that created the file. This is a free\nform string.\n ",
)
# Element {http://www.posc.org/schemas}Comment uses Python identifier Comment
__Comment = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Comment"),
"Comment",
"__httpwww_posc_orgschemas_fileCrType_httpwww_posc_orgschemasComment",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 176, 2
),
)
Comment = property(
__Comment.value,
__Comment.set,
None,
"\nAny comment that would be useful to further explain the creation of this\ninstance document.\n ",
)
_ElementMap.update(
{
__FileCreationDate.name(): __FileCreationDate,
__SoftwareName.name(): __SoftwareName,
__FileCreator.name(): __FileCreator,
__Comment.name(): __Comment,
}
)
_AttributeMap.update({})
_module_typeBindings.fileCrType = fileCrType
Namespace.addCategoryObject('typeBinding', 'fileCrType', fileCrType)
# Complex type {http://www.posc.org/schemas}securityInfoType with content type ELEMENT_ONLY
class securityInfoType(pyxb.binding.basis.complexTypeDefinition):
"""
Information about the security classification of the document. This is
intended as a documentation of the security so that the file will not
inadvertently be sent to someone who is not allowed access to the data.
This block also carries a date that the security classification expires.
For example, a well log is confidential for a period of time, and then
becomes open.
All security classes are characterized by their classification systems.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'securityInfoType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 187, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Class uses Python identifier Class
__Class = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Class"),
"Class",
"__httpwww_posc_orgschemas_securityInfoType_httpwww_posc_orgschemasClass",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 200, 2
),
)
Class = property(
__Class.value,
__Class.set,
None,
"\nThe security class in which this document is classified. Examples would \nbe confidential, partner confidential, tight. The meaning of the class is\ndetermined by the System in which it is defined.\n ",
)
# Element {http://www.posc.org/schemas}System uses Python identifier System
__System = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "System"),
"System",
"__httpwww_posc_orgschemas_securityInfoType_httpwww_posc_orgschemasSystem",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 209, 2
),
)
System = property(
__System.value,
__System.set,
None,
"\nThe security classification system. This gives context to the meaning of the\nClass value.\n ",
)
# Element {http://www.posc.org/schemas}EndDate uses Python identifier EndDate
__EndDate = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "EndDate"),
"EndDate",
"__httpwww_posc_orgschemas_securityInfoType_httpwww_posc_orgschemasEndDate",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 217, 2
),
)
EndDate = property(
__EndDate.value,
__EndDate.set,
None,
"\nThe date on which this security class is no longer applicable.\n ",
)
# Element {http://www.posc.org/schemas}Comment uses Python identifier Comment
__Comment = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Comment"),
"Comment",
"__httpwww_posc_orgschemas_securityInfoType_httpwww_posc_orgschemasComment",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 224, 2
),
)
Comment = property(
__Comment.value,
__Comment.set,
None,
"\nA general comment to further define the security class.\n ",
)
_ElementMap.update(
{
__Class.name(): __Class,
__System.name(): __System,
__EndDate.name(): __EndDate,
__Comment.name(): __Comment,
}
)
_AttributeMap.update({})
_module_typeBindings.securityInfoType = securityInfoType
Namespace.addCategoryObject("typeBinding", "securityInfoType", securityInfoType)
# Complex type {http://www.posc.org/schemas}auditType with content type ELEMENT_ONLY
class auditType(pyxb.binding.basis.complexTypeDefinition):
"""
The audit records what happened to the data, to produce the data that is in
this file. It consists of one or more events.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'auditType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 234, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Event uses Python identifier Event
__Event = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Event"),
"Event",
"__httpwww_posc_orgschemas_auditType_httpwww_posc_orgschemasEvent",
True,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 242, 2
),
)
Event = property(__Event.value, __Event.set, None, None)
_ElementMap.update({__Event.name(): __Event})
_AttributeMap.update({})
_module_typeBindings.auditType = auditType
Namespace.addCategoryObject('typeBinding', 'auditType', auditType)
# Complex type {http://www.posc.org/schemas}eventType with content type ELEMENT_ONLY
class eventType(pyxb.binding.basis.complexTypeDefinition):
"""
An event type captures the basic information about an event that has
affected the data.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'eventType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 246, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}EventDate uses Python identifier EventDate
__EventDate = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "EventDate"),
"EventDate",
"__httpwww_posc_orgschemas_eventType_httpwww_posc_orgschemasEventDate",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 254, 2
),
)
EventDate = property(
__EventDate.value,
__EventDate.set,
None,
"\nThe date on which the event took place.\n ",
)
# Element {http://www.posc.org/schemas}ResponsiblePartyRef uses Python identifier ResponsiblePartyRef
__ResponsiblePartyRef = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "ResponsiblePartyRef"),
"ResponsiblePartyRef",
"__httpwww_posc_orgschemas_eventType_httpwww_posc_orgschemasResponsiblePartyRef",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 269, 3
),
)
ResponsiblePartyRef = property(
__ResponsiblePartyRef.value, __ResponsiblePartyRef.set, None, None
)
# Element {http://www.posc.org/schemas}ResponsiblePartyID uses Python identifier ResponsiblePartyID
__ResponsiblePartyID = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "ResponsiblePartyID"),
"ResponsiblePartyID",
"__httpwww_posc_orgschemas_eventType_httpwww_posc_orgschemasResponsiblePartyID",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 270, 3
),
)
ResponsiblePartyID = property(
__ResponsiblePartyID.value, __ResponsiblePartyID.set, None, None
)
# Element {http://www.posc.org/schemas}Comment uses Python identifier Comment
__Comment = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Comment"),
"Comment",
"__httpwww_posc_orgschemas_eventType_httpwww_posc_orgschemasComment",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 272, 2
),
)
Comment = property(
__Comment.value,
__Comment.set,
None,
"\nA free form comment that can further define the event that occurred.\n ",
)
_ElementMap.update(
{
__EventDate.name(): __EventDate,
__ResponsiblePartyRef.name(): __ResponsiblePartyRef,
__ResponsiblePartyID.name(): __ResponsiblePartyID,
__Comment.name(): __Comment,
}
)
_AttributeMap.update({})
_module_typeBindings.eventType = eventType
Namespace.addCategoryObject('typeBinding', 'eventType', eventType)
# Complex type {http://www.posc.org/schemas}abstractFeatureType with content type ELEMENT_ONLY
class abstractFeatureType(pyxb.binding.basis.complexTypeDefinition):
"""Complex type {http://www.posc.org/schemas}abstractFeatureType with content type ELEMENT_ONLY"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, "abstractFeatureType")
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 282, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Text uses Python identifier Text
__Text = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Text"),
"Text",
"__httpwww_posc_orgschemas_abstractFeatureType_httpwww_posc_orgschemasText",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 284, 4
),
)
Text = property(__Text.value, __Text.set, None, None)
_ElementMap.update({__Text.name(): __Text})
_AttributeMap.update({})
_module_typeBindings.abstractFeatureType = abstractFeatureType
Namespace.addCategoryObject("typeBinding", "abstractFeatureType", abstractFeatureType)
# Complex type {http://www.posc.org/schemas}identifierType with content type ELEMENT_ONLY
class identifierType(pyxb.binding.basis.complexTypeDefinition):
"""
A common way for handling names of objects. An identifier type must include a Name. It
may also include a NamingSystem, which gives meaning to the name. Since Names and
NamingSystems may change with time, it may also include a Version, to further refine the
meaning of the name.
Note that this three-part structure is based on the ISO Identifier type.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'identifierType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 288, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Name uses Python identifier Name
__Name = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Name"),
"Name",
"__httpwww_posc_orgschemas_identifierType_httpwww_posc_orgschemasName",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 299, 4
),
)
Name = property(
__Name.value,
__Name.set,
None,
'\nThe name of the object being identified. It may or may not be a unique name, depending on the use of this type. When used as an "identifier," it should be a unique name, within the naming system. When used as an "alias," the name is not required to be unique.\n ',
)
# Element {http://www.posc.org/schemas}NamingSystem uses Python identifier NamingSystem
__NamingSystem = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "NamingSystem"),
"NamingSystem",
"__httpwww_posc_orgschemas_identifierType_httpwww_posc_orgschemasNamingSystem",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 307, 6
),
)
NamingSystem = property(
__NamingSystem.value,
__NamingSystem.set,
None,
"\nThe naming system under which the name is defined. For example, if the name is a person's social security number, the naming system would be SSN, or some equivalent code which represents that the name is a social security number. Since naming system may be a code, there are two attributes (nameRef and systemList), which may be used to lead an application to a registry, where meaning can be obtained for the code. \n ",
)
# Element {http://www.posc.org/schemas}Version uses Python identifier Version
__Version = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Version"),
"Version",
"__httpwww_posc_orgschemas_identifierType_httpwww_posc_orgschemasVersion",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 314, 6
),
)
Version = property(
__Version.value,
__Version.set,
None,
"\nWhen a naming system is declared, it may be further qualified by giving a version of the\nnaming system. This is needed only when a group puts out a new set of names that are not\nbackward compatible with a previous list.\n ",
)
# Element {http://www.posc.org/schemas}Comment uses Python identifier Comment
__Comment = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Comment"),
"Comment",
"__httpwww_posc_orgschemas_identifierType_httpwww_posc_orgschemasComment",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 324, 4
),
)
Comment = property(__Comment.value, __Comment.set, None, None)
_ElementMap.update(
{
__Name.name(): __Name,
__NamingSystem.name(): __NamingSystem,
__Version.name(): __Version,
__Comment.name(): __Comment,
}
)
_AttributeMap.update({})
_module_typeBindings.identifierType = identifierType
Namespace.addCategoryObject('typeBinding', 'identifierType', identifierType)
# Complex type {http://www.posc.org/schemas}referenceToType with content type EMPTY
class referenceToType(pyxb.binding.basis.complexTypeDefinition):
"""
A reference, with no content. The only attribute is href, which is a reference to another instance.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'referenceToType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 328, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute href uses Python identifier href
__href = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "href"),
"href",
"__httpwww_posc_orgschemas_referenceToType_href",
pyxb.binding.datatypes.string,
required=True,
)
__href._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 334, 1
)
__href._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 334, 1
)
href = property(__href.value, __href.set, None, None)
_ElementMap.update({})
_AttributeMap.update({__href.name(): __href})
_module_typeBindings.referenceToType = referenceToType
Namespace.addCategoryObject('typeBinding', 'referenceToType', referenceToType)
# Complex type [anonymous] with content type ELEMENT_ONLY
class CTD_ANON(pyxb.binding.basis.complexTypeDefinition):
"""Complex type [anonymous] with content type ELEMENT_ONLY"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = None
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 25, 2
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}DocumentInformation uses Python identifier DocumentInformation
__DocumentInformation = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "DocumentInformation"),
"DocumentInformation",
"__httpwww_posc_orgschemas_CTD_ANON_httpwww_posc_orgschemasDocumentInformation",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 24, 0
),
)
DocumentInformation = property(
__DocumentInformation.value,
__DocumentInformation.set,
None,
"\nA standard name for an element of type documentInfoType. Other names may be \nused at the discretion of the developer.\n ",
)
# Element {http://www.posc.org/schemas}UnitsDefinition uses Python identifier UnitsDefinition
__UnitsDefinition = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "UnitsDefinition"),
"UnitsDefinition",
"__httpwww_posc_orgschemas_CTD_ANON_httpwww_posc_orgschemasUnitsDefinition",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 28, 6
),
)
UnitsDefinition = property(
__UnitsDefinition.value, __UnitsDefinition.set, None, None
)
# Attribute version uses Python identifier version
__version = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "version"),
"version",
"__httpwww_posc_orgschemas_CTD_ANON_version",
pyxb.binding.datatypes.string,
)
__version._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 36, 4
)
__version._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 36, 4
)
version = property(
__version.value,
__version.set,
None,
"The version of the dictionary. Optional.",
)
_ElementMap.update(
{
__DocumentInformation.name(): __DocumentInformation,
__UnitsDefinition.name(): __UnitsDefinition,
}
)
_AttributeMap.update({__version.name(): __version})
_module_typeBindings.CTD_ANON = CTD_ANON
# Complex type [anonymous] with content type ELEMENT_ONLY
class CTD_ANON_(pyxb.binding.basis.complexTypeDefinition):
"""Complex type [anonymous] with content type ELEMENT_ONLY"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = None
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 29, 8
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}UnitOfMeasure uses Python identifier UnitOfMeasure
__UnitOfMeasure = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "UnitOfMeasure"),
"UnitOfMeasure",
"__httpwww_posc_orgschemas_CTD_ANON__httpwww_posc_orgschemasUnitOfMeasure",
True,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 31, 12
),
)
UnitOfMeasure = property(__UnitOfMeasure.value, __UnitOfMeasure.set, None, None)
_ElementMap.update({__UnitOfMeasure.name(): __UnitOfMeasure})
_AttributeMap.update({})
_module_typeBindings.CTD_ANON_ = CTD_ANON_
# Complex type {http://www.posc.org/schemas}explicitType with content type SIMPLE
class explicitType(pyxb.binding.basis.complexTypeDefinition):
"""
If isExplicit is true, the uom is explicitly contained in and defined in
the referenced catalog. If isExplicity is false, the uom is implicitly
present. For example, a catalog may contain a metre (m), and a second (s),
and allow a units algebra. Thus, the unit of velocity, metre/second (m/s),
may not explicitly be in the catalog. But it is implied by the algebra
which allows units division.
"""
_TypeDefinition = pyxb.binding.datatypes.string
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_SIMPLE
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'explicitType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 297, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.string
# Attribute isExplicit uses Python identifier isExplicit
__isExplicit = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "isExplicit"),
"isExplicit",
"__httpwww_posc_orgschemas_explicitType_isExplicit",
pyxb.binding.datatypes.boolean,
)
__isExplicit._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 310, 6
)
__isExplicit._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 310, 6
)
isExplicit = property(__isExplicit.value, __isExplicit.set, None, None)
_ElementMap.update({})
_AttributeMap.update({__isExplicit.name(): __isExplicit})
_module_typeBindings.explicitType = explicitType
Namespace.addCategoryObject('typeBinding', 'explicitType', explicitType)
# Complex type {http://www.posc.org/schemas}baseUnitType with content type ELEMENT_ONLY
class baseUnitType(pyxb.binding.basis.complexTypeDefinition):
"""
A base unit, by our defintion, is one which represents a type of quantity,
and therefore has no conversion. It is the unit to which all others of the
quantity type are referenced. Base units may be among the basic types
defined by ISO (m, s, K, etc), or they may be units derived from these using
units algebra (m/s, Newtons, Pascals, etc). The definition (description) of
the unit may be given, along with the Basic Authority which defines it.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'baseUnitType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 315, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Description uses Python identifier Description
__Description = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Description"),
"Description",
"__httpwww_posc_orgschemas_baseUnitType_httpwww_posc_orgschemasDescription",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 327, 2
),
)
Description = property(__Description.value, __Description.set, None, None)
# Element {http://www.posc.org/schemas}BasicAuthority uses Python identifier BasicAuthority
__BasicAuthority = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "BasicAuthority"),
"BasicAuthority",
"__httpwww_posc_orgschemas_baseUnitType_httpwww_posc_orgschemasBasicAuthority",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 328, 2
),
)
BasicAuthority = property(__BasicAuthority.value, __BasicAuthority.set, None, None)
_ElementMap.update(
{
__Description.name(): __Description,
__BasicAuthority.name(): __BasicAuthority,
}
)
_AttributeMap.update({})
_module_typeBindings.baseUnitType = baseUnitType
Namespace.addCategoryObject('typeBinding', 'baseUnitType', baseUnitType)
# Complex type {http://www.posc.org/schemas}sameUnitType with content type EMPTY
class sameUnitType(pyxb.binding.basis.complexTypeDefinition):
"""
Information from several catalogs may be recorded by stating that uoms from
different catalogs are the same. This is generally given by the uom "symbol"
in another catalog, along with the naming system. The uom may alternatively
be resolved as an actual reference to another XML registry, although this
interpretation is not required.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'sameUnitType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 332, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute uom uses Python identifier uom
__uom = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "uom"),
"uom",
"__httpwww_posc_orgschemas_sameUnitType_uom",
pyxb.binding.datatypes.string,
required=True,
)
__uom._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 342, 2
)
__uom._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 342, 2
)
uom = property(__uom.value, __uom.set, None, None)
# Attribute namingSystem uses Python identifier namingSystem
__namingSystem = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "namingSystem"),
"namingSystem",
"__httpwww_posc_orgschemas_sameUnitType_namingSystem",
pyxb.binding.datatypes.string,
)
__namingSystem._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 343, 2
)
__namingSystem._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 343, 2
)
namingSystem = property(__namingSystem.value, __namingSystem.set, None, None)
_ElementMap.update({})
_AttributeMap.update({__uom.name(): __uom, __namingSystem.name(): __namingSystem})
_module_typeBindings.sameUnitType = sameUnitType
Namespace.addCategoryObject('typeBinding', 'sameUnitType', sameUnitType)
# Complex type {http://www.posc.org/schemas}compositeUnitType with content type ELEMENT_ONLY
class compositeUnitType(pyxb.binding.basis.complexTypeDefinition):
"""
A composite unit may be defined by giving the units and the exponents needed
to form the composite. For example, a square foot would be a single UnitTerm,
with uom attribute = 'ft', and exponent attriube = '2'. A Newton (kg.m/s2)
would be three terms, with the kg (kilogram) unit having an exponent = '1',
a m (metre) unit with exponent = '1', and a s (second) unit having
exponent = '-2'.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'compositeUnitType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 346, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}UnitTerm uses Python identifier UnitTerm
__UnitTerm = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "UnitTerm"),
"UnitTerm",
"__httpwww_posc_orgschemas_compositeUnitType_httpwww_posc_orgschemasUnitTerm",
True,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 358, 4
),
)
UnitTerm = property(__UnitTerm.value, __UnitTerm.set, None, None)
_ElementMap.update({__UnitTerm.name(): __UnitTerm})
_AttributeMap.update({})
_module_typeBindings.compositeUnitType = compositeUnitType
Namespace.addCategoryObject("typeBinding", "compositeUnitType", compositeUnitType)
# Complex type [anonymous] with content type EMPTY
class CTD_ANON_2(pyxb.binding.basis.complexTypeDefinition):
"""Complex type [anonymous] with content type EMPTY"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_EMPTY
_Abstract = False
_ExpandedName = None
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 359, 6
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Attribute uom uses Python identifier uom
__uom = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "uom"),
"uom",
"__httpwww_posc_orgschemas_CTD_ANON_2_uom",
pyxb.binding.datatypes.anyURI,
required=True,
)
__uom._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 360, 8
)
__uom._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 360, 8
)
uom = property(__uom.value, __uom.set, None, None)
# Attribute exponent uses Python identifier exponent
__exponent = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "exponent"),
"exponent",
"__httpwww_posc_orgschemas_CTD_ANON_2_exponent",
pyxb.binding.datatypes.integer,
required=True,
)
__exponent._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 361, 8
)
__exponent._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 361, 8
)
exponent = property(__exponent.value, __exponent.set, None, None)
_ElementMap.update({})
_AttributeMap.update({__uom.name(): __uom, __exponent.name(): __exponent})
_module_typeBindings.CTD_ANON_2 = CTD_ANON_2
# Complex type {http://www.posc.org/schemas}conversionType with content type ELEMENT_ONLY
class conversionType(pyxb.binding.basis.complexTypeDefinition):
"""
A conversion to a base unit is defined as (A + BX)/(C + DX), where X is the
unit to be converted. The A, B, C, D are contained in the Formula choice.
Special cases are a single factor and a fraction. Examples are given with
the different elements. One of the three choices is mandatory.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'conversionType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 367, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Description uses Python identifier Description
__Description = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Description"),
"Description",
"__httpwww_posc_orgschemas_conversionType_httpwww_posc_orgschemasDescription",
True,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 377, 2
),
)
Description = property(
__Description.value,
__Description.set,
None,
"\nA definition, description, or other comment about the unit of measure.\n ",
)
# Element {http://www.posc.org/schemas}Factor uses Python identifier Factor
__Factor = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Factor"),
"Factor",
"__httpwww_posc_orgschemas_conversionType_httpwww_posc_orgschemasFactor",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 385, 4
),
)
Factor = property(
__Factor.value,
__Factor.set,
None,
'\nIf A = D = 0, and C = 1, the value of B becomes a factor. For example, \nthe conversion of an international foot to a metre is with Factor=".3048"\n ',
)
# Element {http://www.posc.org/schemas}Fraction uses Python identifier Fraction
__Fraction = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Fraction"),
"Fraction",
"__httpwww_posc_orgschemas_conversionType_httpwww_posc_orgschemasFraction",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 393, 4
),
)
Fraction = property(
__Fraction.value,
__Fraction.set,
None,
"\nIf A = D = 0, B and C represent a fraction. For example, the conversion of a \nUS Survey foot to a metre is given with the fraction of 12 / 39.37. Hence,\n Numerator = '12', Denominator = '39.37'\n ",
)
# Element {http://www.posc.org/schemas}Formula uses Python identifier Formula
__Formula = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Formula"),
"Formula",
"__httpwww_posc_orgschemas_conversionType_httpwww_posc_orgschemasFormula",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 408, 4
),
)
Formula = property(
__Formula.value,
__Formula.set,
None,
'\nA few units of measure do not have a factor or fraction. For example the \nconversion from degrees Celcius to Kelvin is given as degK = 273.15 + degC. \nHence, A = "273.15", B = "1.", C = "1.", D = "0."\n ',
)
# Attribute baseUnit uses Python identifier baseUnit
__baseUnit = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "baseUnit"),
"baseUnit",
"__httpwww_posc_orgschemas_conversionType_baseUnit",
pyxb.binding.datatypes.anyURI,
required=True,
)
__baseUnit._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 428, 1
)
__baseUnit._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 428, 1
)
baseUnit = property(
__baseUnit.value,
__baseUnit.set,
None,
"\nThe conversion is to a base unit. This attribute is a reference to the base \nunit. The base unit is generally defined within the same document, although \nthis does not need to be the case.\n ",
)
# Attribute modver uses Python identifier modver
__modver = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "modver"),
"modver",
"__httpwww_posc_orgschemas_conversionType_modver",
pyxb.binding.datatypes.string,
fixed=True,
unicode_default="2.0",
)
__modver._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 437, 1
)
__modver._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 437, 1
)
modver = property(__modver.value, __modver.set, None, None)
_ElementMap.update(
{
__Description.name(): __Description,
__Factor.name(): __Factor,
__Fraction.name(): __Fraction,
__Formula.name(): __Formula,
}
)
_AttributeMap.update({__baseUnit.name(): __baseUnit, __modver.name(): __modver})
_module_typeBindings.conversionType = conversionType
Namespace.addCategoryObject('typeBinding', 'conversionType', conversionType)
# Complex type [anonymous] with content type ELEMENT_ONLY
class CTD_ANON_3(pyxb.binding.basis.complexTypeDefinition):
"""
If A = D = 0, B and C represent a fraction. For example, the conversion of a
US Survey foot to a metre is given with the fraction of 12 / 39.37. Hence,
Numerator = '12', Denominator = '39.37'
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = None
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 401, 5
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Numerator uses Python identifier Numerator
__Numerator = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Numerator"),
"Numerator",
"__httpwww_posc_orgschemas_CTD_ANON_3_httpwww_posc_orgschemasNumerator",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 403, 8
),
)
Numerator = property(__Numerator.value, __Numerator.set, None, None)
# Element {http://www.posc.org/schemas}Denominator uses Python identifier Denominator
__Denominator = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Denominator"),
"Denominator",
"__httpwww_posc_orgschemas_CTD_ANON_3_httpwww_posc_orgschemasDenominator",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 404, 8
),
)
Denominator = property(__Denominator.value, __Denominator.set, None, None)
_ElementMap.update(
{__Numerator.name(): __Numerator, __Denominator.name(): __Denominator}
)
_AttributeMap.update({})
_module_typeBindings.CTD_ANON_3 = CTD_ANON_3
# Complex type [anonymous] with content type ELEMENT_ONLY
class CTD_ANON_4(pyxb.binding.basis.complexTypeDefinition):
"""
A few units of measure do not have a factor or fraction. For example the
conversion from degrees Celcius to Kelvin is given as degK = 273.15 + degC.
Hence, A = "273.15", B = "1.", C = "1.", D = "0."
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = None
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 416, 5
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}A uses Python identifier A
__A = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "A"),
"A",
"__httpwww_posc_orgschemas_CTD_ANON_4_httpwww_posc_orgschemasA",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 418, 8
),
)
A = property(__A.value, __A.set, None, None)
# Element {http://www.posc.org/schemas}B uses Python identifier B
__B = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "B"),
"B",
"__httpwww_posc_orgschemas_CTD_ANON_4_httpwww_posc_orgschemasB",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 419, 8
),
)
B = property(__B.value, __B.set, None, None)
# Element {http://www.posc.org/schemas}C uses Python identifier C
__C = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "C"),
"C",
"__httpwww_posc_orgschemas_CTD_ANON_4_httpwww_posc_orgschemasC",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 420, 8
),
)
C = property(__C.value, __C.set, None, None)
# Element {http://www.posc.org/schemas}D uses Python identifier D
__D = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "D"),
"D",
"__httpwww_posc_orgschemas_CTD_ANON_4_httpwww_posc_orgschemasD",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 421, 8
),
)
D = property(__D.value, __D.set, None, None)
_ElementMap.update(
{__A.name(): __A, __B.name(): __B, __C.name(): __C, __D.name(): __D}
)
_AttributeMap.update({})
_module_typeBindings.CTD_ANON_4 = CTD_ANON_4
# Complex type {http://www.posc.org/schemas}displayType with content type MIXED
class displayType(pyxb.binding.basis.complexTypeDefinition):
"""
This implementation of displayType allows a mixed type. It allows the
inclusion of a sub element (for subscript), sup element (for superscript),
and gr element (for greek). The greek symbol is given as a Unicode hex value.
For example, the mu would be X03BC.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_MIXED
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, 'displayType')
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 440, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}sup uses Python identifier sup
__sup = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "sup"),
"sup",
"__httpwww_posc_orgschemas_displayType_httpwww_posc_orgschemassup",
True,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 450, 4
),
)
sup = property(__sup.value, __sup.set, None, None)
# Element {http://www.posc.org/schemas}sub uses Python identifier sub
__sub = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "sub"),
"sub",
"__httpwww_posc_orgschemas_displayType_httpwww_posc_orgschemassub",
True,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 451, 4
),
)
sub = property(__sub.value, __sub.set, None, None)
# Element {http://www.posc.org/schemas}gr uses Python identifier gr
__gr = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "gr"),
"gr",
"__httpwww_posc_orgschemas_displayType_httpwww_posc_orgschemasgr",
True,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 452, 4
),
)
gr = property(__gr.value, __gr.set, None, None)
_ElementMap.update({__sup.name(): __sup, __sub.name(): __sub, __gr.name(): __gr})
_AttributeMap.update({})
_module_typeBindings.displayType = displayType
Namespace.addCategoryObject('typeBinding', 'displayType', displayType)
# Complex type {http://www.posc.org/schemas}unitDictionaryType with content type ELEMENT_ONLY
class unitDictionaryType(pyxb.binding.basis.complexTypeDefinition):
"""
A standard form for a units dictionary. This allows the developer of the
dictionary to record the basic information about a unit of measure (namely,
is it a base unit or a customary unit, convertible to a base unit. And what
is the conversion). It also allows some additional information, such as a
mapping to other unit dictionaries (using the Same Unit element). It also
allows a choice of unit symbols.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, "unitDictionaryType")
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 44, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Name uses Python identifier Name
__Name = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Name"),
"Name",
"__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasName",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 56, 4
),
)
Name = property(
__Name.value,
__Name.set,
None,
"\nThe name of the unit. This does not necessarily need to be unique within \nthe catalog, but it probably should be. For example, there are several types \nof feet, all with different conversions. It is based on the converstions \nthat we should find the uniqueness.\n ",
)
# Element {http://www.posc.org/schemas}QuantityType uses Python identifier QuantityType
__QuantityType = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "QuantityType"),
"QuantityType",
"__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasQuantityType",
True,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 66, 4
),
)
QuantityType = property(
__QuantityType.value,
__QuantityType.set,
None,
"\nThis is an uncontrolled list to specify the quantity type that this uom is \nused for. Examples would be length, temperature, pressure, density.\n ",
)
# Element {http://www.posc.org/schemas}DimensionalClass uses Python identifier DimensionalClass
__DimensionalClass = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "DimensionalClass"),
"DimensionalClass",
"__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasDimensionalClass",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 74, 4
),
)
DimensionalClass = property(
__DimensionalClass.value,
__DimensionalClass.set,
None,
"\nThe dimensional analysis of the unit. For example, a metre (m) would be of class [L], which represents length. A foot (ft) would also be in this class. Abbreviations used are L = length, M = mass, T = time, 1 = dimensionless, K = temperature, C = current, N = amount (mole), A = angle (radian), S = solid angle (sr), B = light amount (cd). For consistency, the values are broken into numerator and denominator, separated by a slash (/), in alphabetical order (LM, not ML). \n ",
)
# Element {http://www.posc.org/schemas}SameUnit uses Python identifier SameUnit
__SameUnit = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "SameUnit"),
"SameUnit",
"__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasSameUnit",
True,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 81, 4
),
)
SameUnit = property(
__SameUnit.value,
__SameUnit.set,
None,
"\nA unit of measure may have different expressions in different registries. \nThis allows zero or more of these mappings to be recorded. The SameUnit \nallows a uom and a naming system to be given. The uom is presumably the \nunique symbol in the other system.\n ",
)
# Element {http://www.posc.org/schemas}CatalogName uses Python identifier CatalogName
__CatalogName = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "CatalogName"),
"CatalogName",
"__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasCatalogName",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 91, 4
),
)
CatalogName = property(
__CatalogName.value,
__CatalogName.set,
None,
"\nA uom is generally defined in a standard catalog of units somewhere. \nThis is the name of that catalog. The combination of CatalogName and \nCatalogSymbol should be unique.\n ",
)
# Element {http://www.posc.org/schemas}CatalogSymbol uses Python identifier CatalogSymbol
__CatalogSymbol = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "CatalogSymbol"),
"CatalogSymbol",
"__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasCatalogSymbol",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 100, 4
),
)
CatalogSymbol = property(
__CatalogSymbol.value,
__CatalogSymbol.set,
None,
"\nThe symbol taken from the catalog. Within the catalog, defined by \nCatalogName, the CatalogSymbol should be unique. This element has an \nattribute, isExplicit, which states whether a uom symbol is explicitly \nin the catalog, or only implicitly defined.\n ",
)
# Element {http://www.posc.org/schemas}Display uses Python identifier Display
__Display = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Display"),
"Display",
"__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasDisplay",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 110, 4
),
)
Display = property(
__Display.value,
__Display.set,
None,
"\nThis allows a unit to have tags that define a display. For example, a sub \nelement may be used to indicate a subscript. The displayType allows one more \nstandard choice for displaying a uom, depending on the medium that the \ninformation is being displayed on.\n ",
)
# Element {http://www.posc.org/schemas}Deprecated uses Python identifier Deprecated
__Deprecated = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Deprecated"),
"Deprecated",
"__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasDeprecated",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 120, 4
),
)
Deprecated = property(
__Deprecated.value,
__Deprecated.set,
None,
"\nThis element is used to indicate that a unit is being deprecated. Normally, this means that the symbol representing the unit is no longer to be used (CatalogSymbol). It is generally replaced by another instance of the unit, which has a different symbol. For example, a cubic foot, with symbol, cu ft, would be deprecated, but there would be another instance of cubic foot, with symbol, ft3. The value of the instance repesents the version of the dictionary for which the value is first deprecated. A deprecated unit (symbol) is carried for backward compatibility, but will, at some point, be removed.\n ",
)
# Element {http://www.posc.org/schemas}BaseUnit uses Python identifier BaseUnit
__BaseUnit = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "BaseUnit"),
"BaseUnit",
"__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasBaseUnit",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 138, 6
),
)
BaseUnit = property(__BaseUnit.value, __BaseUnit.set, None, None)
# Element {http://www.posc.org/schemas}ConversionToBaseUnit uses Python identifier ConversionToBaseUnit
__ConversionToBaseUnit = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "ConversionToBaseUnit"),
"ConversionToBaseUnit",
"__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasConversionToBaseUnit",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 139, 6
),
)
ConversionToBaseUnit = property(
__ConversionToBaseUnit.value, __ConversionToBaseUnit.set, None, None
)
# Element {http://www.posc.org/schemas}CompositeUnit uses Python identifier CompositeUnit
__CompositeUnit = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "CompositeUnit"),
"CompositeUnit",
"__httpwww_posc_orgschemas_unitDictionaryType_httpwww_posc_orgschemasCompositeUnit",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 141, 4
),
)
CompositeUnit = property(
__CompositeUnit.value,
__CompositeUnit.set,
None,
"\nA composite unit can be formed by an algebra of units. For example, a foot \nper second (quantity type of velocity) can be formed by a foot divided by \na second. This element allows the registry to identify composite units. \nNote that a composite unit is chosen to represent a quantity type.\nExample: metre per second. This uom is the base unit for the quantity type \nof velocity. A foot per second is also a composite unit, and can be converted \nto the base unit by defining a conversion formula.\n ",
)
# Attribute id uses Python identifier id
__id = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "id"),
"id",
"__httpwww_posc_orgschemas_unitDictionaryType_id",
_module_typeBindings.keyid,
required=True,
)
__id._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 155, 2
)
__id._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 155, 2
)
id = property(
__id.value,
__id.set,
None,
'\nThis is a key for referencing the unit in the dictionary. The id value \nshould be unique within the dictionary document. The value should carry \nno semantic meaning. However, it is common to use a simple unit symbol for \nthe id. Because of the requirements of DTD\'s, it was necessary to separate \nout the id, which was originally of type ID. The DTD ID type did not allow \nslashes "/" or spaces or astericks (*).\n ',
)
# Attribute annotation uses Python identifier annotation
__annotation = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "annotation"),
"annotation",
"__httpwww_posc_orgschemas_unitDictionaryType_annotation",
pyxb.binding.datatypes.string,
)
__annotation._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 167, 2
)
__annotation._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 167, 2
)
annotation = property(
__annotation.value,
__annotation.set,
None,
'\nFor backward compatibility, the id value was selected to be a value of type \nID. Hence, a value, such as ft/s, could not be used for the ID value. The \nannotation attribute was introduced as a schema attribute that could allow \nthe "/". Hence, ft/s is possible. This is intended to be a simple annotation,\n based on the 7 bit ascii character set. A more complex display symbol can \nbe built using the Display element.\n ',
)
# Attribute modver uses Python identifier modver
__modver = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "modver"),
"modver",
"__httpwww_posc_orgschemas_unitDictionaryType_modver",
pyxb.binding.datatypes.string,
fixed=True,
unicode_default="2.0",
)
__modver._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 179, 2
)
__modver._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 179, 2
)
modver = property(__modver.value, __modver.set, None, None)
_ElementMap.update(
{
__Name.name(): __Name,
__QuantityType.name(): __QuantityType,
__DimensionalClass.name(): __DimensionalClass,
__SameUnit.name(): __SameUnit,
__CatalogName.name(): __CatalogName,
__CatalogSymbol.name(): __CatalogSymbol,
__Display.name(): __Display,
__Deprecated.name(): __Deprecated,
__BaseUnit.name(): __BaseUnit,
__ConversionToBaseUnit.name(): __ConversionToBaseUnit,
__CompositeUnit.name(): __CompositeUnit,
}
)
_AttributeMap.update(
{
__id.name(): __id,
__annotation.name(): __annotation,
__modver.name(): __modver,
}
)
_module_typeBindings.unitDictionaryType = unitDictionaryType
Namespace.addCategoryObject("typeBinding", "unitDictionaryType", unitDictionaryType)
# Complex type {http://www.posc.org/schemas}unitDefinitionType with content type ELEMENT_ONLY
class unitDefinitionType(pyxb.binding.basis.complexTypeDefinition):
"""
The unitDefinitionType is the same as the unitDictionaryType, with two
exceptions. It contains a possible IsUnknown element. It does not contain a
SameUnit. A unitDictionaryType is intended as a type for a registry, in which
all units are known and are being declared with their defintions. However,
when exchanging data, the sender may be passing through a value and uom, and
is not sure what the appropriate definition is for the uom. For example it
may read a file with FT as a uom, and the sender is not sure which type of
foot this is. When defining the uom in the resolution section, he may state
that the uom is unknown, but is probably ... an international foot.
"""
_TypeDefinition = None
_ContentTypeTag = pyxb.binding.basis.complexTypeDefinition._CT_ELEMENT_ONLY
_Abstract = False
_ExpandedName = pyxb.namespace.ExpandedName(Namespace, "unitDefinitionType")
_XSDLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 182, 0
)
_ElementMap = {}
_AttributeMap = {}
# Base type is pyxb.binding.datatypes.anyType
# Element {http://www.posc.org/schemas}Name uses Python identifier Name
__Name = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Name"),
"Name",
"__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasName",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 197, 4
),
)
Name = property(
__Name.value,
__Name.set,
None,
"\nThe name of the unit. This does not necessarily need to be unique within \nthe catalog, but it probably should be. For example, there are several types \nof feet, all with different conversions. It is based on the converstions \nthat we should find the uniqueness.\n ",
)
# Element {http://www.posc.org/schemas}QuantityType uses Python identifier QuantityType
__QuantityType = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "QuantityType"),
"QuantityType",
"__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasQuantityType",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 207, 4
),
)
QuantityType = property(
__QuantityType.value,
__QuantityType.set,
None,
"\nThis is an uncontrolled list to specify the quantity type that this uom is \nused for. Examples would be length, temperature, pressure, density.\n ",
)
# Element {http://www.posc.org/schemas}CatalogName uses Python identifier CatalogName
__CatalogName = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "CatalogName"),
"CatalogName",
"__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasCatalogName",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 215, 4
),
)
CatalogName = property(
__CatalogName.value,
__CatalogName.set,
None,
"\nA uom is generally defined in a standard catalog of units somewhere. \nThis is the name of that catalog. The combination of CatalogName and \nCatalogSymbol should be unique.\n ",
)
# Element {http://www.posc.org/schemas}CatalogSymbol uses Python identifier CatalogSymbol
__CatalogSymbol = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "CatalogSymbol"),
"CatalogSymbol",
"__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasCatalogSymbol",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 224, 4
),
)
CatalogSymbol = property(
__CatalogSymbol.value,
__CatalogSymbol.set,
None,
"\nThe symbol taken from the catalog. Within the catalog, defined by \nCatalogName, the CatalogSymbol should be unique. This element has an \nattribute, isExplicit, which states whether a uom symbol is explicitly \nin the catalog, or only implicitly defined.\n ",
)
# Element {http://www.posc.org/schemas}Display uses Python identifier Display
__Display = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "Display"),
"Display",
"__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasDisplay",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 234, 4
),
)
Display = property(
__Display.value,
__Display.set,
None,
"\nThis allows a unit to have tags that define a display. For example, a sub \nelement may be used to indicate a subscript. The displayType allows one more \nstandard choice for displaying a uom, depending on the medium that the \ninformation is being displayed on.\n ",
)
# Element {http://www.posc.org/schemas}BaseUnit uses Python identifier BaseUnit
__BaseUnit = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "BaseUnit"),
"BaseUnit",
"__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasBaseUnit",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 262, 6
),
)
BaseUnit = property(__BaseUnit.value, __BaseUnit.set, None, None)
# Element {http://www.posc.org/schemas}IsUnknown uses Python identifier IsUnknown
__IsUnknown = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "IsUnknown"),
"IsUnknown",
"__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasIsUnknown",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 264, 8
),
)
IsUnknown = property(__IsUnknown.value, __IsUnknown.set, None, None)
# Element {http://www.posc.org/schemas}ConversionToBaseUnit uses Python identifier ConversionToBaseUnit
__ConversionToBaseUnit = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "ConversionToBaseUnit"),
"ConversionToBaseUnit",
"__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasConversionToBaseUnit",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 265, 8
),
)
ConversionToBaseUnit = property(
__ConversionToBaseUnit.value, __ConversionToBaseUnit.set, None, None
)
# Element {http://www.posc.org/schemas}CompositeUnit uses Python identifier CompositeUnit
__CompositeUnit = pyxb.binding.content.ElementDeclaration(
pyxb.namespace.ExpandedName(Namespace, "CompositeUnit"),
"CompositeUnit",
"__httpwww_posc_orgschemas_unitDefinitionType_httpwww_posc_orgschemasCompositeUnit",
False,
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 268, 4
),
)
CompositeUnit = property(__CompositeUnit.value, __CompositeUnit.set, None, None)
# Attribute id uses Python identifier id
__id = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "id"),
"id",
"__httpwww_posc_orgschemas_unitDefinitionType_id",
_module_typeBindings.keyid,
required=True,
)
__id._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 270, 2
)
__id._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 270, 2
)
id = property(
__id.value,
__id.set,
None,
'\nThis is a key for referencing the unit in the dictionary. The id value \nshould be unique within the dictionary document. The value should carry \nno semantic meaning. However, it is common to use a simple unit symbol for \nthe id. Because of the requirements of DTD\'s, it was necessary to separate \nout the id, which was originally of type ID. The DTD ID type did not allow \nslashes "/" or spaces or astericks (*).\n ',
)
# Attribute annotation uses Python identifier annotation
__annotation = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "annotation"),
"annotation",
"__httpwww_posc_orgschemas_unitDefinitionType_annotation",
pyxb.binding.datatypes.string,
)
__annotation._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 282, 2
)
__annotation._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 282, 2
)
annotation = property(
__annotation.value,
__annotation.set,
None,
'\nFor backward compatibility, the id value was selected to be a value of type \nID. Hence, a value, such as ft/s, could not be used for the ID value. The \nannotation attribute was introduced as a schema attribute that could allow \nthe "/". Hence, ft/s is possible. This is intended to be a simple annotation,\n based on the 7 bit ascii character set. A more complex display symbol can \nbe built using the Display element.\n ',
)
# Attribute modver uses Python identifier modver
__modver = pyxb.binding.content.AttributeUse(
pyxb.namespace.ExpandedName(None, "modver"),
"modver",
"__httpwww_posc_orgschemas_unitDefinitionType_modver",
pyxb.binding.datatypes.string,
fixed=True,
unicode_default="1.0",
)
__modver._DeclarationLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 294, 2
)
__modver._UseLocation = pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 294, 2
)
modver = property(__modver.value, __modver.set, None, None)
_ElementMap.update(
{
__Name.name(): __Name,
__QuantityType.name(): __QuantityType,
__CatalogName.name(): __CatalogName,
__CatalogSymbol.name(): __CatalogSymbol,
__Display.name(): __Display,
__BaseUnit.name(): __BaseUnit,
__IsUnknown.name(): __IsUnknown,
__ConversionToBaseUnit.name(): __ConversionToBaseUnit,
__CompositeUnit.name(): __CompositeUnit,
}
)
_AttributeMap.update(
{
__id.name(): __id,
__annotation.name(): __annotation,
__modver.name(): __modver,
}
)
_module_typeBindings.unitDefinitionType = unitDefinitionType
Namespace.addCategoryObject("typeBinding", "unitDefinitionType", unitDefinitionType)
DocumentInformation = pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "DocumentInformation"),
documentInfoType,
documentation="\nA standard name for an element of type documentInfoType. Other names may be \nused at the discretion of the developer.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 24, 0
),
)
Namespace.addCategoryObject(
"elementBinding",
DocumentInformation.name().localName(),
DocumentInformation,
)
DocClasses = pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "_DocClasses"),
abstractFeatureType,
abstract=pyxb.binding.datatypes.boolean(1),
documentation="\nAn abstract element, to serve as a head for a substitution group. The \n_DocClasses is intended to handle any classification systems that a group\nwould model. It may be a simple substitution, or a container with many\nclasses contained in it.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 35, 0
),
)
Namespace.addCategoryObject("elementBinding", DocClasses.name().localName(), DocClasses)
UnitOfMeasureDictionary = pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "UnitOfMeasureDictionary"),
CTD_ANON,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 24, 0
),
)
Namespace.addCategoryObject(
"elementBinding",
UnitOfMeasureDictionary.name().localName(),
UnitOfMeasureDictionary,
)
documentInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "_DocClasses"),
abstractFeatureType,
abstract=pyxb.binding.datatypes.boolean(1),
scope=documentInfoType,
documentation="\nAn abstract element, to serve as a head for a substitution group. The \n_DocClasses is intended to handle any classification systems that a group\nwould model. It may be a simple substitution, or a container with many\nclasses contained in it.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 35, 0
),
)
)
documentInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "DocumentName"),
identifierType,
scope=documentInfoType,
documentation="\nAn identifier for the document. This is intended to be unique within the \ncontext of the NamingSystem.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 56, 2
),
)
)
documentInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "DocumentAlias"),
identifierType,
scope=documentInfoType,
documentation="\nZero or more alternate names for the document. These names do not need to be\nunique within the naming system.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 64, 2
),
)
)
documentInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "DocumentDate"),
pyxb.binding.datatypes.date,
scope=documentInfoType,
documentation="\nThe date of the creation of the document. This is not the same as the date\nthat the file was created. For this date, the document is considered to be\nthe set of information associated with this document information.\nFor example, the document may be a seismic binset. This represents the date\nthat the binset was created. The FileCreation information would capture the\ndate that the XML file was created to send or exchange the binset.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 72, 2
),
)
)
documentInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "FileCreationInformation"),
fileCrType,
scope=documentInfoType,
documentation="\nThe information about the creation of the exchange file. This is not about\nthe creation of the data within the file, but the creation of the file itself.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 93, 2
),
)
)
documentInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "SecurityInformation"),
securityInfoType,
scope=documentInfoType,
documentation="\nInformation about the security to be applied to this file. More than one\nclassification can be given.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 101, 2
),
)
)
documentInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Disclaimer"),
pyxb.binding.datatypes.string,
scope=documentInfoType,
documentation="\nA free-form string that allows a disclaimer to accompany the information.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 109, 2
),
)
)
documentInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "AuditTrail"),
auditType,
scope=documentInfoType,
documentation="\nA collection of events that can document the history of the data.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 116, 2
),
)
)
documentInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "DataOwnerRef"),
referenceToType,
scope=documentInfoType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 131, 4
),
)
)
documentInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "DataOwnerID"),
pyxb.binding.datatypes.string,
scope=documentInfoType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 132, 4
),
)
)
documentInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Comment"),
pyxb.binding.datatypes.string,
scope=documentInfoType,
documentation="\nAn optional comment about the document.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 134, 2
),
)
)
def _BuildAutomaton():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton
del _BuildAutomaton
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(
min=0,
max=None,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 64, 2
),
)
counters.add(cc_0)
cc_1 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 72, 2
),
)
counters.add(cc_1)
cc_2 = fac.CounterCondition(
min=0,
max=None,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 84, 2
),
)
counters.add(cc_2)
cc_3 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 93, 2
),
)
counters.add(cc_3)
cc_4 = fac.CounterCondition(
min=0,
max=5,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 101, 2
),
)
counters.add(cc_4)
cc_5 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 109, 2
),
)
counters.add(cc_5)
cc_6 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 116, 2
),
)
counters.add(cc_6)
cc_7 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 123, 2
),
)
counters.add(cc_7)
cc_8 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 134, 2
),
)
counters.add(cc_8)
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(
documentInfoType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "DocumentName")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 56, 2
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(
documentInfoType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "DocumentAlias")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 64, 2
),
)
st_1 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(
documentInfoType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "DocumentDate")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 72, 2
),
)
st_2 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_2, False))
symbol = pyxb.binding.content.ElementUse(
documentInfoType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "_DocClasses")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 84, 2
),
)
st_3 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_3)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_3, False))
symbol = pyxb.binding.content.ElementUse(
documentInfoType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "FileCreationInformation")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 93, 2
),
)
st_4 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_4)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_4, False))
symbol = pyxb.binding.content.ElementUse(
documentInfoType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "SecurityInformation")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 101, 2
),
)
st_5 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_5)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_5, False))
symbol = pyxb.binding.content.ElementUse(
documentInfoType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "Disclaimer")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 109, 2
),
)
st_6 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_6)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_6, False))
symbol = pyxb.binding.content.ElementUse(
documentInfoType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "AuditTrail")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 116, 2
),
)
st_7 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_7)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_7, False))
symbol = pyxb.binding.content.ElementUse(
documentInfoType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "DataOwnerRef")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 131, 4
),
)
st_8 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_8)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_7, False))
symbol = pyxb.binding.content.ElementUse(
documentInfoType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "DataOwnerID")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 132, 4
),
)
st_9 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_9)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_8, False))
symbol = pyxb.binding.content.ElementUse(
documentInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Comment")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 134, 2
),
)
st_10 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_10)
transitions = []
transitions.append(fac.Transition(st_1, []))
transitions.append(fac.Transition(st_2, []))
transitions.append(fac.Transition(st_3, []))
transitions.append(fac.Transition(st_4, []))
transitions.append(fac.Transition(st_5, []))
transitions.append(fac.Transition(st_6, []))
transitions.append(fac.Transition(st_7, []))
transitions.append(fac.Transition(st_8, []))
transitions.append(fac.Transition(st_9, []))
transitions.append(fac.Transition(st_10, []))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_10, [fac.UpdateInstruction(cc_0, False)]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_1, True)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_10, [fac.UpdateInstruction(cc_1, False)]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_2, True)]))
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_10, [fac.UpdateInstruction(cc_2, False)]))
st_3._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_3, True)]))
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_3, False)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_3, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_3, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_3, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_3, False)]))
transitions.append(fac.Transition(st_10, [fac.UpdateInstruction(cc_3, False)]))
st_4._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_4, True)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_4, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_4, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_4, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_4, False)]))
transitions.append(fac.Transition(st_10, [fac.UpdateInstruction(cc_4, False)]))
st_5._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_5, True)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_5, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_5, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_5, False)]))
transitions.append(fac.Transition(st_10, [fac.UpdateInstruction(cc_5, False)]))
st_6._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_6, True)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_6, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_6, False)]))
transitions.append(fac.Transition(st_10, [fac.UpdateInstruction(cc_6, False)]))
st_7._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_7, True)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_7, True)]))
transitions.append(fac.Transition(st_10, [fac.UpdateInstruction(cc_7, False)]))
st_8._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_7, True)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_7, True)]))
transitions.append(fac.Transition(st_10, [fac.UpdateInstruction(cc_7, False)]))
st_9._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_10, [fac.UpdateInstruction(cc_8, True)]))
st_10._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
documentInfoType._Automaton = _BuildAutomaton()
fileCrType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "FileCreationDate"),
expandedDateTime,
scope=fileCrType,
documentation="\nThe date and/or time that the file was created.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 153, 2
),
)
)
fileCrType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "SoftwareName"),
pyxb.binding.datatypes.string,
scope=fileCrType,
documentation="\nIf appropriate, the software that created the file. This is a free form\nstring, and may include whatever information is deemed relevant.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 160, 2
),
)
)
fileCrType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "FileCreator"),
pyxb.binding.datatypes.string,
scope=fileCrType,
documentation="\nThe person or business associate that created the file. This is a free\nform string.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 168, 2
),
)
)
fileCrType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Comment"),
pyxb.binding.datatypes.string,
scope=fileCrType,
documentation="\nAny comment that would be useful to further explain the creation of this\ninstance document.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 176, 2
),
)
)
def _BuildAutomaton_():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_
del _BuildAutomaton_
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 160, 2
),
)
counters.add(cc_0)
cc_1 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 168, 2
),
)
counters.add(cc_1)
cc_2 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 176, 2
),
)
counters.add(cc_2)
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(
fileCrType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "FileCreationDate")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 153, 2
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(
fileCrType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "SoftwareName")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 160, 2
),
)
st_1 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(
fileCrType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "FileCreator")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 168, 2
),
)
st_2 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_2, False))
symbol = pyxb.binding.content.ElementUse(
fileCrType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Comment")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 176, 2
),
)
st_3 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_3)
transitions = []
transitions.append(fac.Transition(st_1, []))
transitions.append(fac.Transition(st_2, []))
transitions.append(fac.Transition(st_3, []))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_0, False)]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_1, True)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_1, False)]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_2, True)]))
st_3._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
fileCrType._Automaton = _BuildAutomaton_()
securityInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Class"),
pyxb.binding.datatypes.string,
scope=securityInfoType,
documentation="\nThe security class in which this document is classified. Examples would \nbe confidential, partner confidential, tight. The meaning of the class is\ndetermined by the System in which it is defined.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 200, 2
),
)
)
securityInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "System"),
pyxb.binding.datatypes.string,
scope=securityInfoType,
documentation="\nThe security classification system. This gives context to the meaning of the\nClass value.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 209, 2
),
)
)
securityInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "EndDate"),
expandedDateTime,
scope=securityInfoType,
documentation="\nThe date on which this security class is no longer applicable.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 217, 2
),
)
)
securityInfoType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Comment"),
pyxb.binding.datatypes.string,
scope=securityInfoType,
documentation="\nA general comment to further define the security class.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 224, 2
),
)
)
def _BuildAutomaton_2():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_2
del _BuildAutomaton_2
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 209, 2
),
)
counters.add(cc_0)
cc_1 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 217, 2
),
)
counters.add(cc_1)
cc_2 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 224, 2
),
)
counters.add(cc_2)
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(
securityInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Class")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 200, 2
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(
securityInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "System")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 209, 2
),
)
st_1 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(
securityInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "EndDate")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 217, 2
),
)
st_2 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_2, False))
symbol = pyxb.binding.content.ElementUse(
securityInfoType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Comment")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 224, 2
),
)
st_3 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_3)
transitions = []
transitions.append(fac.Transition(st_1, []))
transitions.append(fac.Transition(st_2, []))
transitions.append(fac.Transition(st_3, []))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_0, False)]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_1, True)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_1, False)]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_2, True)]))
st_3._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
securityInfoType._Automaton = _BuildAutomaton_2()
auditType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Event"),
eventType,
scope=auditType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 242, 2
),
)
)
def _BuildAutomaton_3():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_3
del _BuildAutomaton_3
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(
auditType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Event")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 242, 2
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
transitions = []
transitions.append(fac.Transition(st_0, []))
st_0._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
auditType._Automaton = _BuildAutomaton_3()
eventType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "EventDate"),
expandedDateTime,
scope=eventType,
documentation="\nThe date on which the event took place.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 254, 2
),
)
)
eventType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "ResponsiblePartyRef"),
referenceToType,
scope=eventType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 269, 3
),
)
)
eventType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "ResponsiblePartyID"),
pyxb.binding.datatypes.string,
scope=eventType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 270, 3
),
)
)
eventType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Comment"),
pyxb.binding.datatypes.string,
scope=eventType,
documentation="\nA free form comment that can further define the event that occurred.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 272, 2
),
)
)
def _BuildAutomaton_4():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_4
del _BuildAutomaton_4
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 261, 2
),
)
counters.add(cc_0)
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(
eventType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "EventDate")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 254, 2
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = None
symbol = pyxb.binding.content.ElementUse(
eventType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "ResponsiblePartyRef")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 269, 3
),
)
st_1 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
final_update = None
symbol = pyxb.binding.content.ElementUse(
eventType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "ResponsiblePartyID")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 270, 3
),
)
st_2 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_2)
final_update = set()
symbol = pyxb.binding.content.ElementUse(
eventType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Comment")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 272, 2
),
)
st_3 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_3)
transitions = []
transitions.append(fac.Transition(st_1, []))
transitions.append(fac.Transition(st_2, []))
transitions.append(fac.Transition(st_3, []))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_0, False)]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_0, False)]))
st_2._set_transitionSet(transitions)
transitions = []
st_3._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
eventType._Automaton = _BuildAutomaton_4()
abstractFeatureType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Text"),
pyxb.binding.datatypes.string,
scope=abstractFeatureType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 284, 4
),
)
)
def _BuildAutomaton_5():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_5
del _BuildAutomaton_5
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 284, 4
),
)
counters.add(cc_0)
states = []
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(
abstractFeatureType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Text")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 284, 4
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
transitions = []
transitions.append(fac.Transition(st_0, [fac.UpdateInstruction(cc_0, True)]))
st_0._set_transitionSet(transitions)
return fac.Automaton(states, counters, True, containing_state=None)
abstractFeatureType._Automaton = _BuildAutomaton_5()
identifierType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Name"),
pyxb.binding.datatypes.string,
scope=identifierType,
documentation='\nThe name of the object being identified. It may or may not be a unique name, depending on the use of this type. When used as an "identifier," it should be a unique name, within the naming system. When used as an "alias," the name is not required to be unique.\n ',
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 299, 4
),
)
)
identifierType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "NamingSystem"),
pyxb.binding.datatypes.string,
scope=identifierType,
documentation="\nThe naming system under which the name is defined. For example, if the name is a person's social security number, the naming system would be SSN, or some equivalent code which represents that the name is a social security number. Since naming system may be a code, there are two attributes (nameRef and systemList), which may be used to lead an application to a registry, where meaning can be obtained for the code. \n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 307, 6
),
)
)
identifierType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Version"),
pyxb.binding.datatypes.string,
scope=identifierType,
documentation="\nWhen a naming system is declared, it may be further qualified by giving a version of the\nnaming system. This is needed only when a group puts out a new set of names that are not\nbackward compatible with a previous list.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 314, 6
),
)
)
identifierType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Comment"),
pyxb.binding.datatypes.string,
scope=identifierType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 324, 4
),
)
)
def _BuildAutomaton_6():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_6
del _BuildAutomaton_6
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 306, 4
),
)
counters.add(cc_0)
cc_1 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 314, 6
),
)
counters.add(cc_1)
cc_2 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 324, 4
),
)
counters.add(cc_2)
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(
identifierType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Name")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 299, 4
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(
identifierType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "NamingSystem")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 307, 6
),
)
st_1 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(
identifierType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Version")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 314, 6
),
)
st_2 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_2, False))
symbol = pyxb.binding.content.ElementUse(
identifierType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Comment")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 324, 4
),
)
st_3 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_3)
transitions = []
transitions.append(fac.Transition(st_1, []))
transitions.append(fac.Transition(st_3, []))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_2, []))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_0, False)]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(
fac.Transition(
st_1,
[
fac.UpdateInstruction(cc_0, True),
fac.UpdateInstruction(cc_1, False),
],
)
)
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_1, True)]))
transitions.append(
fac.Transition(
st_3,
[
fac.UpdateInstruction(cc_0, False),
fac.UpdateInstruction(cc_1, False),
],
)
)
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_2, True)]))
st_3._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
identifierType._Automaton = _BuildAutomaton_6()
CTD_ANON._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "DocumentInformation"),
documentInfoType,
scope=CTD_ANON,
documentation="\nA standard name for an element of type documentInfoType. Other names may be \nused at the discretion of the developer.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/DocumentInfo.xsd", 24, 0
),
)
)
CTD_ANON._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "UnitsDefinition"),
CTD_ANON_,
scope=CTD_ANON,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 28, 6
),
)
)
def _BuildAutomaton_7():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_7
del _BuildAutomaton_7
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(
CTD_ANON._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "DocumentInformation")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 27, 6
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = set()
symbol = pyxb.binding.content.ElementUse(
CTD_ANON._UseForTag(pyxb.namespace.ExpandedName(Namespace, "UnitsDefinition")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 28, 6
),
)
st_1 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
transitions = []
transitions.append(fac.Transition(st_1, []))
st_0._set_transitionSet(transitions)
transitions = []
st_1._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
CTD_ANON._Automaton = _BuildAutomaton_7()
CTD_ANON_._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "UnitOfMeasure"),
unitDictionaryType,
scope=CTD_ANON_,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 31, 12
),
)
)
def _BuildAutomaton_8():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_8
del _BuildAutomaton_8
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(
CTD_ANON_._UseForTag(pyxb.namespace.ExpandedName(Namespace, "UnitOfMeasure")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 31, 12
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
transitions = []
transitions.append(fac.Transition(st_0, []))
st_0._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
CTD_ANON_._Automaton = _BuildAutomaton_8()
baseUnitType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Description"),
pyxb.binding.datatypes.string,
scope=baseUnitType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 327, 2
),
)
)
baseUnitType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "BasicAuthority"),
pyxb.binding.datatypes.string,
scope=baseUnitType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 328, 2
),
)
)
def _BuildAutomaton_9():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_9
del _BuildAutomaton_9
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 327, 2
),
)
counters.add(cc_0)
cc_1 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 328, 2
),
)
counters.add(cc_1)
states = []
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(
baseUnitType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Description")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 327, 2
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(
baseUnitType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "BasicAuthority")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 328, 2
),
)
st_1 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
transitions = []
transitions.append(fac.Transition(st_0, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, False)]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_1, True)]))
st_1._set_transitionSet(transitions)
return fac.Automaton(states, counters, True, containing_state=None)
baseUnitType._Automaton = _BuildAutomaton_9()
compositeUnitType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "UnitTerm"),
CTD_ANON_2,
scope=compositeUnitType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 358, 4
),
)
)
def _BuildAutomaton_10():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_10
del _BuildAutomaton_10
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(
compositeUnitType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "UnitTerm")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 358, 4
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
transitions = []
transitions.append(fac.Transition(st_0, []))
st_0._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
compositeUnitType._Automaton = _BuildAutomaton_10()
conversionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Description"),
pyxb.binding.datatypes.string,
scope=conversionType,
documentation="\nA definition, description, or other comment about the unit of measure.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 377, 2
),
)
)
conversionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Factor"),
pyxb.binding.datatypes.double,
scope=conversionType,
documentation='\nIf A = D = 0, and C = 1, the value of B becomes a factor. For example, \nthe conversion of an international foot to a metre is with Factor=".3048"\n ',
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 385, 4
),
)
)
conversionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Fraction"),
CTD_ANON_3,
scope=conversionType,
documentation="\nIf A = D = 0, B and C represent a fraction. For example, the conversion of a \nUS Survey foot to a metre is given with the fraction of 12 / 39.37. Hence,\n Numerator = '12', Denominator = '39.37'\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 393, 4
),
)
)
conversionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Formula"),
CTD_ANON_4,
scope=conversionType,
documentation='\nA few units of measure do not have a factor or fraction. For example the \nconversion from degrees Celcius to Kelvin is given as degK = 273.15 + degC. \nHence, A = "273.15", B = "1.", C = "1.", D = "0."\n ',
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 408, 4
),
)
)
def _BuildAutomaton_11():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_11
del _BuildAutomaton_11
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 377, 2
),
)
counters.add(cc_0)
cc_1 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 426, 2
),
)
counters.add(cc_1)
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(
conversionType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "Description")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 377, 2
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = set()
symbol = pyxb.binding.content.ElementUse(
conversionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Factor")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 385, 4
),
)
st_1 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
final_update = set()
symbol = pyxb.binding.content.ElementUse(
conversionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Fraction")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 393, 4
),
)
st_2 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_2)
final_update = set()
symbol = pyxb.binding.content.ElementUse(
conversionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Formula")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 408, 4
),
)
st_3 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_3)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(
conversionType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "Description")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 426, 2
),
)
st_4 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_4)
transitions = []
transitions.append(fac.Transition(st_0, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_0, False)]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, []))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, []))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, []))
st_3._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_1, True)]))
st_4._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
conversionType._Automaton = _BuildAutomaton_11()
CTD_ANON_3._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Numerator"),
pyxb.binding.datatypes.double,
scope=CTD_ANON_3,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 403, 8
),
)
)
CTD_ANON_3._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Denominator"),
pyxb.binding.datatypes.double,
scope=CTD_ANON_3,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 404, 8
),
)
)
def _BuildAutomaton_12():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_12
del _BuildAutomaton_12
import pyxb.utils.fac as fac
counters = set()
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(
CTD_ANON_3._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Numerator")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 403, 8
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = set()
symbol = pyxb.binding.content.ElementUse(
CTD_ANON_3._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Denominator")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 404, 8
),
)
st_1 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
transitions = []
transitions.append(fac.Transition(st_1, []))
st_0._set_transitionSet(transitions)
transitions = []
st_1._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
CTD_ANON_3._Automaton = _BuildAutomaton_12()
CTD_ANON_4._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "A"),
pyxb.binding.datatypes.double,
scope=CTD_ANON_4,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 418, 8
),
)
)
CTD_ANON_4._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "B"),
pyxb.binding.datatypes.double,
scope=CTD_ANON_4,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 419, 8
),
)
)
CTD_ANON_4._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "C"),
pyxb.binding.datatypes.double,
scope=CTD_ANON_4,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 420, 8
),
)
)
CTD_ANON_4._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "D"),
pyxb.binding.datatypes.double,
scope=CTD_ANON_4,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 421, 8
),
)
)
def _BuildAutomaton_13():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_13
del _BuildAutomaton_13
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 418, 8
),
)
counters.add(cc_0)
cc_1 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 421, 8
),
)
counters.add(cc_1)
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(
CTD_ANON_4._UseForTag(pyxb.namespace.ExpandedName(Namespace, "A")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 418, 8
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = None
symbol = pyxb.binding.content.ElementUse(
CTD_ANON_4._UseForTag(pyxb.namespace.ExpandedName(Namespace, "B")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 419, 8
),
)
st_1 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
final_update = set()
symbol = pyxb.binding.content.ElementUse(
CTD_ANON_4._UseForTag(pyxb.namespace.ExpandedName(Namespace, "C")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 420, 8
),
)
st_2 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(
CTD_ANON_4._UseForTag(pyxb.namespace.ExpandedName(Namespace, "D")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 421, 8
),
)
st_3 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_3)
transitions = []
transitions.append(fac.Transition(st_0, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, False)]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, []))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, []))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_1, True)]))
st_3._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
CTD_ANON_4._Automaton = _BuildAutomaton_13()
displayType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "sup"),
pyxb.binding.datatypes.string,
scope=displayType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 450, 4
),
)
)
displayType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "sub"),
pyxb.binding.datatypes.string,
scope=displayType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 451, 4
),
)
)
displayType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "gr"),
pyxb.binding.datatypes.string,
scope=displayType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 452, 4
),
)
)
def _BuildAutomaton_14():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_14
del _BuildAutomaton_14
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(
min=0,
max=None,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 449, 2
),
)
counters.add(cc_0)
states = []
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(
displayType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "sup")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 450, 4
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(
displayType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "sub")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 451, 4
),
)
st_1 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(
displayType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "gr")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 452, 4
),
)
st_2 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_2)
transitions = []
transitions.append(fac.Transition(st_0, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_0, True)]))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_0, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_0, True)]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_0, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_0, True)]))
st_2._set_transitionSet(transitions)
return fac.Automaton(states, counters, True, containing_state=None)
displayType._Automaton = _BuildAutomaton_14()
unitDictionaryType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Name"),
pyxb.binding.datatypes.string,
scope=unitDictionaryType,
documentation="\nThe name of the unit. This does not necessarily need to be unique within \nthe catalog, but it probably should be. For example, there are several types \nof feet, all with different conversions. It is based on the converstions \nthat we should find the uniqueness.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 56, 4
),
)
)
unitDictionaryType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "QuantityType"),
pyxb.binding.datatypes.string,
scope=unitDictionaryType,
documentation="\nThis is an uncontrolled list to specify the quantity type that this uom is \nused for. Examples would be length, temperature, pressure, density.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 66, 4
),
)
)
unitDictionaryType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "DimensionalClass"),
pyxb.binding.datatypes.string,
scope=unitDictionaryType,
documentation="\nThe dimensional analysis of the unit. For example, a metre (m) would be of class [L], which represents length. A foot (ft) would also be in this class. Abbreviations used are L = length, M = mass, T = time, 1 = dimensionless, K = temperature, C = current, N = amount (mole), A = angle (radian), S = solid angle (sr), B = light amount (cd). For consistency, the values are broken into numerator and denominator, separated by a slash (/), in alphabetical order (LM, not ML). \n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 74, 4
),
)
)
unitDictionaryType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "SameUnit"),
sameUnitType,
scope=unitDictionaryType,
documentation="\nA unit of measure may have different expressions in different registries. \nThis allows zero or more of these mappings to be recorded. The SameUnit \nallows a uom and a naming system to be given. The uom is presumably the \nunique symbol in the other system.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 81, 4
),
)
)
unitDictionaryType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "CatalogName"),
pyxb.binding.datatypes.string,
scope=unitDictionaryType,
documentation="\nA uom is generally defined in a standard catalog of units somewhere. \nThis is the name of that catalog. The combination of CatalogName and \nCatalogSymbol should be unique.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 91, 4
),
)
)
unitDictionaryType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "CatalogSymbol"),
explicitType,
scope=unitDictionaryType,
documentation="\nThe symbol taken from the catalog. Within the catalog, defined by \nCatalogName, the CatalogSymbol should be unique. This element has an \nattribute, isExplicit, which states whether a uom symbol is explicitly \nin the catalog, or only implicitly defined.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 100, 4
),
)
)
unitDictionaryType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Display"),
displayType,
scope=unitDictionaryType,
documentation="\nThis allows a unit to have tags that define a display. For example, a sub \nelement may be used to indicate a subscript. The displayType allows one more \nstandard choice for displaying a uom, depending on the medium that the \ninformation is being displayed on.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 110, 4
),
)
)
unitDictionaryType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Deprecated"),
pyxb.binding.datatypes.string,
scope=unitDictionaryType,
documentation="\nThis element is used to indicate that a unit is being deprecated. Normally, this means that the symbol representing the unit is no longer to be used (CatalogSymbol). It is generally replaced by another instance of the unit, which has a different symbol. For example, a cubic foot, with symbol, cu ft, would be deprecated, but there would be another instance of cubic foot, with symbol, ft3. The value of the instance repesents the version of the dictionary for which the value is first deprecated. A deprecated unit (symbol) is carried for backward compatibility, but will, at some point, be removed.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 120, 4
),
)
)
unitDictionaryType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "BaseUnit"),
baseUnitType,
scope=unitDictionaryType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 138, 6
),
)
)
unitDictionaryType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "ConversionToBaseUnit"),
conversionType,
scope=unitDictionaryType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 139, 6
),
)
)
unitDictionaryType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "CompositeUnit"),
compositeUnitType,
scope=unitDictionaryType,
documentation="\nA composite unit can be formed by an algebra of units. For example, a foot \nper second (quantity type of velocity) can be formed by a foot divided by \na second. This element allows the registry to identify composite units. \nNote that a composite unit is chosen to represent a quantity type.\nExample: metre per second. This uom is the base unit for the quantity type \nof velocity. A foot per second is also a composite unit, and can be converted \nto the base unit by defining a conversion formula.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 141, 4
),
)
)
def _BuildAutomaton_15():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_15
del _BuildAutomaton_15
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(
min=0,
max=None,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 66, 4
),
)
counters.add(cc_0)
cc_1 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 74, 4
),
)
counters.add(cc_1)
cc_2 = fac.CounterCondition(
min=0,
max=None,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 81, 4
),
)
counters.add(cc_2)
cc_3 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 91, 4
),
)
counters.add(cc_3)
cc_4 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 100, 4
),
)
counters.add(cc_4)
cc_5 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 110, 4
),
)
counters.add(cc_5)
cc_6 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 120, 4
),
)
counters.add(cc_6)
cc_7 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 141, 4
),
)
counters.add(cc_7)
states = []
final_update = None
symbol = pyxb.binding.content.ElementUse(
unitDictionaryType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Name")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 56, 4
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = None
symbol = pyxb.binding.content.ElementUse(
unitDictionaryType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "QuantityType")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 66, 4
),
)
st_1 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
final_update = None
symbol = pyxb.binding.content.ElementUse(
unitDictionaryType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "DimensionalClass")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 74, 4
),
)
st_2 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_2)
final_update = None
symbol = pyxb.binding.content.ElementUse(
unitDictionaryType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "SameUnit")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 81, 4
),
)
st_3 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_3)
final_update = None
symbol = pyxb.binding.content.ElementUse(
unitDictionaryType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "CatalogName")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 91, 4
),
)
st_4 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_4)
final_update = None
symbol = pyxb.binding.content.ElementUse(
unitDictionaryType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "CatalogSymbol")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 100, 4
),
)
st_5 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_5)
final_update = None
symbol = pyxb.binding.content.ElementUse(
unitDictionaryType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "Display")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 110, 4
),
)
st_6 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_6)
final_update = None
symbol = pyxb.binding.content.ElementUse(
unitDictionaryType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "Deprecated")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 120, 4
),
)
st_7 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_7)
final_update = set()
symbol = pyxb.binding.content.ElementUse(
unitDictionaryType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "BaseUnit")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 138, 6
),
)
st_8 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_8)
final_update = set()
symbol = pyxb.binding.content.ElementUse(
unitDictionaryType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "ConversionToBaseUnit")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 139, 6
),
)
st_9 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_9)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_7, False))
symbol = pyxb.binding.content.ElementUse(
unitDictionaryType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "CompositeUnit")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 141, 4
),
)
st_10 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_10)
transitions = []
transitions.append(fac.Transition(st_1, []))
transitions.append(fac.Transition(st_2, []))
transitions.append(fac.Transition(st_3, []))
transitions.append(fac.Transition(st_4, []))
transitions.append(fac.Transition(st_5, []))
transitions.append(fac.Transition(st_6, []))
transitions.append(fac.Transition(st_7, []))
transitions.append(fac.Transition(st_8, []))
transitions.append(fac.Transition(st_9, []))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_0, False)]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_1, True)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_1, False)]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_2, True)]))
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_2, False)]))
st_3._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_3, True)]))
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_3, False)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_3, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_3, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_3, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_3, False)]))
st_4._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_4, True)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_4, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_4, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_4, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_4, False)]))
st_5._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_5, True)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_5, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_5, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_5, False)]))
st_6._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_6, True)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_6, False)]))
transitions.append(fac.Transition(st_9, [fac.UpdateInstruction(cc_6, False)]))
st_7._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_10, []))
st_8._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_10, []))
st_9._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_10, [fac.UpdateInstruction(cc_7, True)]))
st_10._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
unitDictionaryType._Automaton = _BuildAutomaton_15()
unitDefinitionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Name"),
pyxb.binding.datatypes.string,
scope=unitDefinitionType,
documentation="\nThe name of the unit. This does not necessarily need to be unique within \nthe catalog, but it probably should be. For example, there are several types \nof feet, all with different conversions. It is based on the converstions \nthat we should find the uniqueness.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 197, 4
),
)
)
unitDefinitionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "QuantityType"),
pyxb.binding.datatypes.string,
scope=unitDefinitionType,
documentation="\nThis is an uncontrolled list to specify the quantity type that this uom is \nused for. Examples would be length, temperature, pressure, density.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 207, 4
),
)
)
unitDefinitionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "CatalogName"),
pyxb.binding.datatypes.string,
scope=unitDefinitionType,
documentation="\nA uom is generally defined in a standard catalog of units somewhere. \nThis is the name of that catalog. The combination of CatalogName and \nCatalogSymbol should be unique.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 215, 4
),
)
)
unitDefinitionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "CatalogSymbol"),
explicitType,
scope=unitDefinitionType,
documentation="\nThe symbol taken from the catalog. Within the catalog, defined by \nCatalogName, the CatalogSymbol should be unique. This element has an \nattribute, isExplicit, which states whether a uom symbol is explicitly \nin the catalog, or only implicitly defined.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 224, 4
),
)
)
unitDefinitionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "Display"),
displayType,
scope=unitDefinitionType,
documentation="\nThis allows a unit to have tags that define a display. For example, a sub \nelement may be used to indicate a subscript. The displayType allows one more \nstandard choice for displaying a uom, depending on the medium that the \ninformation is being displayed on.\n ",
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 234, 4
),
)
)
unitDefinitionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "BaseUnit"),
baseUnitType,
scope=unitDefinitionType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 262, 6
),
)
)
unitDefinitionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "IsUnknown"),
pyxb.binding.datatypes.boolean,
scope=unitDefinitionType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 264, 8
),
)
)
unitDefinitionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "ConversionToBaseUnit"),
conversionType,
scope=unitDefinitionType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 265, 8
),
)
)
unitDefinitionType._AddElement(
pyxb.binding.basis.element(
pyxb.namespace.ExpandedName(Namespace, "CompositeUnit"),
compositeUnitType,
scope=unitDefinitionType,
location=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 268, 4
),
)
)
def _BuildAutomaton_16():
# Remove this helper function from the namespace after it is invoked
global _BuildAutomaton_16
del _BuildAutomaton_16
import pyxb.utils.fac as fac
counters = set()
cc_0 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 207, 4
),
)
counters.add(cc_0)
cc_1 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 215, 4
),
)
counters.add(cc_1)
cc_2 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 224, 4
),
)
counters.add(cc_2)
cc_3 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 234, 4
),
)
counters.add(cc_3)
cc_4 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 264, 8
),
)
counters.add(cc_4)
cc_5 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 265, 8
),
)
counters.add(cc_5)
cc_6 = fac.CounterCondition(
min=0,
max=1,
metadata=pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 268, 4
),
)
counters.add(cc_6)
states = []
final_update = set()
symbol = pyxb.binding.content.ElementUse(
unitDefinitionType._UseForTag(pyxb.namespace.ExpandedName(Namespace, "Name")),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 197, 4
),
)
st_0 = fac.State(
symbol,
is_initial=True,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_0)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_0, False))
symbol = pyxb.binding.content.ElementUse(
unitDefinitionType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "QuantityType")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 207, 4
),
)
st_1 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_1)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_1, False))
symbol = pyxb.binding.content.ElementUse(
unitDefinitionType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "CatalogName")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 215, 4
),
)
st_2 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_2)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_2, False))
symbol = pyxb.binding.content.ElementUse(
unitDefinitionType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "CatalogSymbol")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 224, 4
),
)
st_3 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_3)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_3, False))
symbol = pyxb.binding.content.ElementUse(
unitDefinitionType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "Display")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 234, 4
),
)
st_4 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_4)
final_update = set()
symbol = pyxb.binding.content.ElementUse(
unitDefinitionType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "BaseUnit")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 262, 6
),
)
st_5 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_5)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_4, False))
symbol = pyxb.binding.content.ElementUse(
unitDefinitionType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "IsUnknown")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 264, 8
),
)
st_6 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_6)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_5, False))
symbol = pyxb.binding.content.ElementUse(
unitDefinitionType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "ConversionToBaseUnit")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 265, 8
),
)
st_7 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_7)
final_update = set()
final_update.add(fac.UpdateInstruction(cc_6, False))
symbol = pyxb.binding.content.ElementUse(
unitDefinitionType._UseForTag(
pyxb.namespace.ExpandedName(Namespace, "CompositeUnit")
),
pyxb.utils.utility.Location(
"http://w3.energistics.org/uom/units20/Units.xsd", 268, 4
),
)
st_8 = fac.State(
symbol,
is_initial=False,
final_update=final_update,
is_unordered_catenation=False,
)
states.append(st_8)
transitions = []
transitions.append(fac.Transition(st_1, []))
transitions.append(fac.Transition(st_2, []))
transitions.append(fac.Transition(st_3, []))
transitions.append(fac.Transition(st_4, []))
transitions.append(fac.Transition(st_5, []))
transitions.append(fac.Transition(st_6, []))
transitions.append(fac.Transition(st_7, []))
transitions.append(fac.Transition(st_8, []))
st_0._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_1, [fac.UpdateInstruction(cc_0, True)]))
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_0, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_0, False)]))
st_1._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_2, [fac.UpdateInstruction(cc_1, True)]))
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_1, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_1, False)]))
st_2._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_3, [fac.UpdateInstruction(cc_2, True)]))
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_2, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_2, False)]))
st_3._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_4, [fac.UpdateInstruction(cc_3, True)]))
transitions.append(fac.Transition(st_5, [fac.UpdateInstruction(cc_3, False)]))
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_3, False)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_3, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_3, False)]))
st_4._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_8, []))
st_5._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_6, [fac.UpdateInstruction(cc_4, True)]))
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_4, False)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_4, False)]))
st_6._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_7, [fac.UpdateInstruction(cc_5, True)]))
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_5, False)]))
st_7._set_transitionSet(transitions)
transitions = []
transitions.append(fac.Transition(st_8, [fac.UpdateInstruction(cc_6, True)]))
st_8._set_transitionSet(transitions)
return fac.Automaton(states, counters, False, containing_state=None)
unitDefinitionType._Automaton = _BuildAutomaton_16()
| 38.115831
| 643
| 0.675419
| 21,638
| 193,819
| 5.878593
| 0.044274
| 0.030872
| 0.038868
| 0.057735
| 0.849427
| 0.829341
| 0.8035
| 0.784577
| 0.748901
| 0.73604
| 0
| 0.021371
| 0.217296
| 193,819
| 5,084
| 644
| 38.123328
| 0.817116
| 0.089367
| 0
| 0.691574
| 1
| 0.01513
| 0.252194
| 0.033953
| 0
| 0
| 0
| 0
| 0
| 1
| 0.004423
| false
| 0
| 0.006285
| 0
| 0.09567
| 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
|
3b9446253a183b694f227b435d6d06a40baccd54
| 303
|
py
|
Python
|
metabase/settings.py
|
NYU-CI/adrf-metadata-tools
|
206cc90b688ec6efa9e3856e5a144effca81eb4c
|
[
"CC0-1.0"
] | null | null | null |
metabase/settings.py
|
NYU-CI/adrf-metadata-tools
|
206cc90b688ec6efa9e3856e5a144effca81eb4c
|
[
"CC0-1.0"
] | null | null | null |
metabase/settings.py
|
NYU-CI/adrf-metadata-tools
|
206cc90b688ec6efa9e3856e5a144effca81eb4c
|
[
"CC0-1.0"
] | 1
|
2020-01-08T20:19:45.000Z
|
2020-01-08T20:19:45.000Z
|
'''Settings for metabase.'''
# Database connection strings for database containing data.
metabase_connection_string = 'postgresql://metaadmin@localhost:5432/postgres'
# Database connection strings for database containing data.
data_connection_string = 'postgresql://metaadmin@localhost:5432/postgres'
| 37.875
| 77
| 0.815182
| 33
| 303
| 7.363636
| 0.424242
| 0.148148
| 0.205761
| 0.230453
| 0.872428
| 0.872428
| 0.872428
| 0
| 0
| 0
| 0
| 0.028986
| 0.089109
| 303
| 7
| 78
| 43.285714
| 0.851449
| 0.458746
| 0
| 0
| 0
| 0
| 0.585987
| 0.585987
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
8e6891c945bdab249364abe6692a940669f639ec
| 179
|
py
|
Python
|
Coding-Challenges/checkPermutation/check_permutation.py
|
FergusDevelopmentLLC/Coders-Workshop
|
3513bd5f79eaa85b4d2a648c5f343a224842325d
|
[
"MIT"
] | 33
|
2019-12-02T23:29:47.000Z
|
2022-03-24T02:40:36.000Z
|
Coding-Challenges/checkPermutation/check_permutation.py
|
FergusDevelopmentLLC/Coders-Workshop
|
3513bd5f79eaa85b4d2a648c5f343a224842325d
|
[
"MIT"
] | 39
|
2020-01-15T19:28:12.000Z
|
2021-11-26T05:13:29.000Z
|
Coding-Challenges/checkPermutation/check_permutation.py
|
FergusDevelopmentLLC/Coders-Workshop
|
3513bd5f79eaa85b4d2a648c5f343a224842325d
|
[
"MIT"
] | 49
|
2019-12-02T23:29:53.000Z
|
2022-03-03T01:11:37.000Z
|
#!/usr/bin/env python3
def check_permutation(str1, str2):
pass
print(check_permutation("god", "dog")) # True
print(check_permutation("hello", "goodbye")) # False
| 19.888889
| 54
| 0.664804
| 22
| 179
| 5.272727
| 0.772727
| 0.413793
| 0.362069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02027
| 0.173184
| 179
| 8
| 55
| 22.375
| 0.763514
| 0.178771
| 0
| 0
| 0
| 0
| 0.132353
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.25
| 0
| 0
| 0.25
| 0.5
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 1
|
0
| 7
|
d91b45bde6cabf418f82862f8912343459cedad8
| 145
|
py
|
Python
|
pytapa/generator.py
|
rileyweber13/pytapa
|
8bd9acf4348ce32ae43ac8be5d1e2f77c2a573d7
|
[
"MIT"
] | null | null | null |
pytapa/generator.py
|
rileyweber13/pytapa
|
8bd9acf4348ce32ae43ac8be5d1e2f77c2a573d7
|
[
"MIT"
] | null | null | null |
pytapa/generator.py
|
rileyweber13/pytapa
|
8bd9acf4348ce32ae43ac8be5d1e2f77c2a573d7
|
[
"MIT"
] | null | null | null |
import random
def generate():
solution = [[0,0,0,0,0],[0,0,0,0,0],[0,0,0,0,0],[0,0,0,0,0],[0,0,0,0,0]]
print(solution)
generate()
| 20.714286
| 79
| 0.531034
| 33
| 145
| 2.333333
| 0.212121
| 0.623377
| 0.896104
| 1.142857
| 0.324675
| 0.324675
| 0.324675
| 0.324675
| 0.324675
| 0.324675
| 0
| 0.206612
| 0.165517
| 145
| 7
| 80
| 20.714286
| 0.429752
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0
| 0.4
| 0.2
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d94bca20e374ccfd63b66a7f01905ab20630c959
| 48
|
py
|
Python
|
tests/extra/test_wrapper_callbacks.py
|
davidwilby/multimodal_keras_wrapper
|
8151a52d9728d669f0b517515c869beb0211c7db
|
[
"MIT"
] | 31
|
2017-02-22T09:38:15.000Z
|
2021-04-19T10:13:34.000Z
|
tests/extra/test_wrapper_callbacks.py
|
davidwilby/multimodal_keras_wrapper
|
8151a52d9728d669f0b517515c869beb0211c7db
|
[
"MIT"
] | 5
|
2017-12-05T07:08:44.000Z
|
2020-04-15T17:49:00.000Z
|
tests/extra/test_wrapper_callbacks.py
|
davidwilby/multimodal_keras_wrapper
|
8151a52d9728d669f0b517515c869beb0211c7db
|
[
"MIT"
] | 15
|
2017-02-22T09:38:14.000Z
|
2021-04-19T10:13:37.000Z
|
import pytest
from six import iteritems
# TODO
| 9.6
| 25
| 0.791667
| 7
| 48
| 5.428571
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1875
| 48
| 4
| 26
| 12
| 0.974359
| 0.083333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
d98040f66abbe24b24f0a9df14d57175c543b4c4
| 1,997
|
py
|
Python
|
examples/e-puck1-leds.py
|
yorkrobotlab/pi-puck-e-puck1
|
00417163f55be8f9d922298b4ec57342abb85625
|
[
"MIT"
] | null | null | null |
examples/e-puck1-leds.py
|
yorkrobotlab/pi-puck-e-puck1
|
00417163f55be8f9d922298b4ec57342abb85625
|
[
"MIT"
] | 2
|
2020-05-14T16:32:03.000Z
|
2020-10-02T15:32:37.000Z
|
examples/e-puck1-leds.py
|
yorkrobotlab/pi-puck-e-puck1
|
00417163f55be8f9d922298b4ec57342abb85625
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
import time
import sys
import signal
import epuck1
# Register signal handler for Ctrl+C
def signal_handler(sig, frame):
epuck.set_inner_leds(False, False) # Turn off LEDs
epuck.set_outer_leds_byte(0) # Turn off LEDs
sys.exit(0)
print('e-puck LEDs test')
print('Initialising I2C...')
epuck = epuck1.Epuck1()
signal.signal(signal.SIGINT, signal_handler)
print('Cycling LEDs...')
delay = 0.1
while True:
epuck.set_inner_leds(True, False)
epuck.set_outer_leds(True, False, False, False, False, False, False, False)
time.sleep(delay)
epuck.set_outer_leds(True, True, False, False, False, False, False, False)
time.sleep(delay)
epuck.set_outer_leds(True, True, True, False, False, False, False, False)
time.sleep(delay)
epuck.set_outer_leds(True, True, True, True, False, False, False, False)
time.sleep(delay)
epuck.set_outer_leds(True, True, True, True, True, False, False, False)
time.sleep(delay)
epuck.set_outer_leds(True, True, True, True, True, True, False, False)
time.sleep(delay)
epuck.set_outer_leds(True, True, True, True, True, True, True, False)
time.sleep(delay)
epuck.set_outer_leds(True, True, True, True, True, True, True, True)
time.sleep(delay)
epuck.set_inner_leds(False, True)
epuck.set_outer_leds(False, True, True, True, True, True, True, True)
time.sleep(delay)
epuck.set_outer_leds(False, False, True, True, True, True, True, True)
time.sleep(delay)
epuck.set_outer_leds(False, False, False, True, True, True, True, True)
time.sleep(delay)
epuck.set_outer_leds(False, False, False, False, True, True, True, True)
time.sleep(delay)
epuck.set_outer_leds(False, False, False, False, False, True, True, True)
time.sleep(delay)
epuck.set_outer_leds(False, False, False, False, False, False, True, True)
time.sleep(delay)
epuck.set_outer_leds(False, False, False, False, False, False, False, True)
time.sleep(delay)
epuck.set_outer_leds(False, False, False, False, False, False, False, False)
time.sleep(delay)
| 32.209677
| 77
| 0.742113
| 321
| 1,997
| 4.482866
| 0.127726
| 0.347464
| 0.375261
| 0.347464
| 0.775539
| 0.726894
| 0.726894
| 0.720639
| 0.720639
| 0.720639
| 0
| 0.005137
| 0.122684
| 1,997
| 61
| 78
| 32.737705
| 0.81621
| 0.042063
| 0
| 0.326531
| 0
| 0
| 0.026192
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.020408
| false
| 0
| 0.081633
| 0
| 0.102041
| 0.061224
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
d98dc1dd098dd27ba26be600a929b96a645fdbdc
| 7,271
|
py
|
Python
|
tests/perf/test-reg-readwrite-plain.py
|
jacobmarshall-etc/duktape
|
62ef74d0dd64edcd518c588dd88780ea4312144a
|
[
"MIT"
] | null | null | null |
tests/perf/test-reg-readwrite-plain.py
|
jacobmarshall-etc/duktape
|
62ef74d0dd64edcd518c588dd88780ea4312144a
|
[
"MIT"
] | null | null | null |
tests/perf/test-reg-readwrite-plain.py
|
jacobmarshall-etc/duktape
|
62ef74d0dd64edcd518c588dd88780ea4312144a
|
[
"MIT"
] | null | null | null |
def test():
a = 1
b = 2
c = 3
d = 4
i = 0
while i < 1e6:
# 100
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
# 100
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
# 100
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
# 100
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
# 100
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
# 100
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
# 100
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
# 100
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
# 100
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
# 100
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
a = a; a = b; a = c; a = d; b = a; b = b; b = c; b = d; c = a; c = b
i += 1
test()
| 55.083333
| 70
| 0.283592
| 2,028
| 7,271
| 1.016765
| 0.007396
| 0.28128
| 0.14549
| 0.193986
| 0.984481
| 0.984481
| 0.984481
| 0.984481
| 0.984481
| 0.984481
| 0
| 0.009533
| 0.451795
| 7,271
| 131
| 71
| 55.503817
| 0.507777
| 0.005364
| 0
| 0.917431
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.009174
| false
| 0
| 0
| 0
| 0.009174
| 0
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| 1
| null | 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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|
0
| 10
|
7998eb686406f1adc264f00005c257c5f1edff03
| 327
|
py
|
Python
|
project-metrics/metrics_service/metrics/__init__.py
|
ayumi-cloud/amp-github-apps
|
4d00a43c657f4168f3b0f40fd0ff4c1ec1dd2bbf
|
[
"Apache-2.0"
] | 1
|
2019-11-10T06:58:02.000Z
|
2019-11-10T06:58:02.000Z
|
project-metrics/metrics_service/metrics/__init__.py
|
ayumi-cloud/amp-github-apps
|
4d00a43c657f4168f3b0f40fd0ff4c1ec1dd2bbf
|
[
"Apache-2.0"
] | 8
|
2020-02-10T16:04:33.000Z
|
2022-03-26T13:56:22.000Z
|
project-metrics/metrics_service/metrics/__init__.py
|
ayumi-cloud/amp-github-apps
|
4d00a43c657f4168f3b0f40fd0ff4c1ec1dd2bbf
|
[
"Apache-2.0"
] | 1
|
2020-02-27T04:19:48.000Z
|
2020-02-27T04:19:48.000Z
|
"""Import metric implementations so they can register themselves."""
from metrics import base
from metrics import absolute_coverage
from metrics import cherrypick_issue_count
from metrics import presubmit_latency
from metrics import release_granularity
from metrics import travis_greenness
from metrics import travis_flakiness
| 36.333333
| 68
| 0.868502
| 43
| 327
| 6.44186
| 0.534884
| 0.277978
| 0.429603
| 0.166065
| 0
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| 0
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| 0
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| 0.110092
| 327
| 8
| 69
| 40.875
| 0.95189
| 0.189602
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| 1
| 0
|
0
| 7
|
5c120786d1079045a134d0823ff8eea9c99d9430
| 11,634
|
py
|
Python
|
test/covcalculator_utils_test.py
|
imperial-genomics-facility/Metadata_validation
|
d6e1cd51c32768bf578101688ad02db65684a568
|
[
"Apache-2.0"
] | null | null | null |
test/covcalculator_utils_test.py
|
imperial-genomics-facility/Metadata_validation
|
d6e1cd51c32768bf578101688ad02db65684a568
|
[
"Apache-2.0"
] | 3
|
2020-03-24T18:04:16.000Z
|
2021-02-02T22:25:57.000Z
|
test/covcalculator_utils_test.py
|
imperial-genomics-facility/Metadata_validation
|
d6e1cd51c32768bf578101688ad02db65684a568
|
[
"Apache-2.0"
] | null | null | null |
import unittest
from app.covcalculator.utils import calculate_expected_lanes,calculate_expected_samples,calculate_coverage_output
from app.covcalculator.utils import calculate_expected_lanes_for_known_library,calculate_expected_samples_for_known_library
class Covcalculator_utils1(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def test_calculate_expected_lanes_for_known_library(self):
output_dict = \
calculate_expected_lanes_for_known_library(\
recommended_clusters=25000000,
samples_count=16,
cluster_size=400000000,
read_length=150,
is_sc=0,
is_pe=1,
max_samples=96)
required_lane_per_sample = output_dict.get('required_lane_per_sample')
samples_per_lanes = output_dict.get('samples_per_lanes')
samples_count = output_dict.get('samples_count')
expected_lanes = output_dict.get('expected_lanes')
output_per_unit = output_dict.get('output_per_unit')
self.assertTrue(\
(required_lane_per_sample==0.0625) & \
(samples_per_lanes==16) & \
(samples_count==16) & \
(expected_lanes==1) & \
(output_per_unit==400000000*300))
output_dict = \
calculate_expected_lanes_for_known_library(\
recommended_clusters=50000,
samples_count=6000,
cluster_size=400000000,
read_length=150,
is_sc=1,
is_pe=1,
max_samples=96)
required_lane_per_sample = output_dict.get('required_lane_per_sample')
samples_per_lanes = output_dict.get('samples_per_lanes')
samples_count = output_dict.get('samples_count')
expected_lanes = output_dict.get('expected_lanes')
output_per_unit = output_dict.get('output_per_unit')
self.assertTrue(\
(required_lane_per_sample==0.003) & \
(samples_per_lanes==8000) & \
(samples_count==6000) & \
(expected_lanes==1) & \
(output_per_unit==400000000*300))
def test_calculate_expected_samples_for_known_library(self):
output_dict = \
calculate_expected_samples_for_known_library(\
recommended_clusters=25000000,
lanes_count=1,
cluster_size=400000000,
read_length=150,
is_sc=0,
is_pe=1,
max_samples=96)
required_lane_per_sample = output_dict.get('required_lane_per_sample')
samples_per_lanes = output_dict.get('samples_per_lanes')
lanes_count = output_dict.get('lanes_count')
expected_samples = output_dict.get('expected_samples')
output_per_unit = output_dict.get('output_per_unit')
self.assertTrue(\
(required_lane_per_sample==0.0625) & \
(samples_per_lanes==16) & \
(lanes_count==1) & \
(expected_samples==16) & \
(output_per_unit==400000000*300))
output_dict = \
calculate_expected_samples_for_known_library(\
recommended_clusters=50000,
lanes_count=1,
cluster_size=400000000,
read_length=150,
is_sc=1,
is_pe=1,
max_samples=96)
required_lane_per_sample = output_dict.get('required_lane_per_sample')
samples_per_lanes = output_dict.get('samples_per_lanes')
lanes_count = output_dict.get('lanes_count')
expected_samples = output_dict.get('expected_samples')
output_per_unit = output_dict.get('output_per_unit')
self.assertTrue(\
(required_lane_per_sample==0.003) & \
(samples_per_lanes==8000) & \
(lanes_count==1) & \
(expected_samples==8000) & \
(output_per_unit==400000000*300))
def test_calculate_expected_samples(self):
output_dict = \
calculate_expected_samples(\
genome_size=3200,
coverage=10,
lanes_count=2,
cluster_size=312500000,
read_length=150,
is_pe=1,
max_samples=96)
output_per_unit = output_dict.get('output_per_unit')
required_lane_per_sample = output_dict.get('required_lane_per_sample')
samples_per_lanes = output_dict.get('samples_per_lanes')
lanes_count = output_dict.get('lanes_count')
expected_samples = output_dict.get('expected_samples')
expected_bases_per_sample = output_dict.get('expected_bases_per_sample')
self.assertTrue(\
(output_per_unit==312500000*150*2) & \
(round(required_lane_per_sample,2)==0.34) & \
(int(samples_per_lanes)==2) & \
(lanes_count==2) & \
(expected_samples==5) & \
(expected_bases_per_sample==3200*1000000*10))
output_dict = \
calculate_expected_samples(\
genome_size=3.5,
coverage=10,
lanes_count=1,
cluster_size=312500000,
read_length=150,
is_pe=1,
max_samples=96)
output_per_unit = output_dict.get('output_per_unit')
required_lane_per_sample = output_dict.get('required_lane_per_sample')
samples_per_lanes = output_dict.get('samples_per_lanes')
lanes_count = output_dict.get('lanes_count')
expected_samples = output_dict.get('expected_samples')
expected_bases_per_sample = output_dict.get('expected_bases_per_sample')
self.assertTrue(\
(output_per_unit==312500000*150*2) & \
(round(required_lane_per_sample,4)==0.003) & \
(samples_per_lanes==96) & \
(lanes_count==1) & \
(expected_samples==96) & \
(expected_bases_per_sample==3.5*1000000*10))
def test_calculate_expected_lanes(self):
output_dict = \
calculate_expected_lanes(\
genome_size=3200,
coverage=10,
samples_count=10,
cluster_size=312500000,
is_pe=1,
read_length=150,
max_samples=96)
output_per_unit = output_dict.get('output_per_unit')
required_lane_per_sample = output_dict.get('required_lane_per_sample')
samples_per_lanes = output_dict.get('samples_per_lanes')
samples_count = output_dict.get('samples_count')
expected_lanes = output_dict.get('expected_lanes')
expected_bases_per_sample = output_dict.get('expected_bases_per_sample')
self.assertTrue(\
(output_per_unit==312500000*150*2) & \
(round(required_lane_per_sample,2)==0.34) & \
(round(samples_per_lanes,1)==2.9) & \
(samples_count==10) & \
(expected_lanes==4) & \
(expected_bases_per_sample==3200*1000000*10))
output_dict = \
calculate_expected_lanes(\
genome_size=3.5,
coverage=10,
samples_count=96,
cluster_size=312500000,
is_pe=1,
read_length=150,
max_samples=96)
output_per_unit = output_dict.get('output_per_unit')
required_lane_per_sample = output_dict.get('required_lane_per_sample')
samples_per_lanes = output_dict.get('samples_per_lanes')
samples_count = output_dict.get('samples_count')
expected_lanes = output_dict.get('expected_lanes')
expected_bases_per_sample = output_dict.get('expected_bases_per_sample')
self.assertTrue(\
(output_per_unit==312500000*150*2) & \
(round(required_lane_per_sample,3)==0.003) & \
(samples_per_lanes==96) & \
(samples_count==96) & \
(expected_lanes==1) & \
(expected_bases_per_sample==3.5*1000000*10))
output_dict = \
calculate_expected_lanes(\
genome_size=3200,
coverage=10,
samples_count=1,
cluster_size=25000000,
is_pe=1,
read_length=300,
max_samples=96)
expected_lanes = output_dict.get('expected_lanes')
self.assertEqual(expected_lanes,3)
def test_calculate_coverage_output(self):
data_table,col_order,formatted_header = \
calculate_coverage_output(
platform_name='HiSeq 4000 50 SR',
cluster_size=312500000,
platform_read_length=50,
choose_assay='library_type',
choose_sample_or_lane='lane_number',
recommended_clusters=2220000,
samples=1,
is_sc=0,
max_samples=96,
assay_type_assay_name='Small RNA DE profiling',
expected_read_count=0,
genome_size=0,
coverage=0,
is_pe=0
)
self.assertEqual(data_table.get('Expected samples'),96)
self.assertTrue('Output per unit' in col_order)
self.assertTrue('Output per unit' in formatted_header)
data_table,col_order,formatted_header = \
calculate_coverage_output(
platform_name='HiSeq 4000 50 SR',
cluster_size=312500000,
platform_read_length=50,
choose_assay='genome_cov',
choose_sample_or_lane='lane_number',
recommended_clusters=2220000,
samples=1,
is_sc=0,
max_samples=96,
assay_type_assay_name='Small RNA DE profiling',
expected_read_count=0,
genome_size=0,
coverage=0,
is_pe=0
)
self.assertEqual(len(data_table),0)
data_table,col_order,formatted_header = \
calculate_coverage_output(
platform_name='HiSeq 4000 50 SR',
cluster_size=312500000,
platform_read_length=50,
choose_assay='custom_read',
choose_sample_or_lane='lane_number',
recommended_clusters=2220000,
samples=1,
is_sc=0,
max_samples=96,
assay_type_assay_name='Small RNA DE profiling',
expected_read_count=0,
genome_size=0,
coverage=0,
is_pe=0
)
self.assertEqual(len(data_table),0)
data_table,col_order,formatted_header = \
calculate_coverage_output(
platform_name='HiSeq 4000 50 SR',
cluster_size=312500000,
platform_read_length=50,
choose_assay='library_type',
choose_sample_or_lane='lane_number',
recommended_clusters=0,
samples=1,
is_sc=0,
max_samples=96,
assay_type_assay_name='Small RNA DE profiling',
expected_read_count=10000000,
genome_size=3200,
coverage=10,
is_pe=0
)
self.assertEqual(len(data_table),0)
data_table,col_order,formatted_header = \
calculate_coverage_output(
platform_name='HiSeq 4000 150 PE',
cluster_size=312500000,
platform_read_length=150,
choose_assay='library_type',
choose_sample_or_lane='sample_number',
recommended_clusters=25000000,
samples=100,
is_sc=0,
max_samples=96,
assay_type_assay_name='mRNA-Seq DE profiling',
expected_read_count=10000000,
genome_size=3200,
coverage=10,
is_pe=1
)
self.assertEqual(data_table.get('Expected lanes'),9)
data_table,col_order,formatted_header = \
calculate_coverage_output(
platform_name='HiSeq 4000 150 PE',
cluster_size=312500000,
platform_read_length=150,
choose_assay='library_type',
choose_sample_or_lane='sample_number',
recommended_clusters=50000,
samples=5000,
is_sc=1,
max_samples=96,
assay_type_assay_name="TenX genomics 3' RNA-seq",
expected_read_count=10000000,
genome_size=3200,
coverage=10,
is_pe=1
)
self.assertEqual(data_table.get('Expected lanes'),1)
self.assertEqual(data_table.get('Cells per lane'),6250)
data_table,col_order,formatted_header = \
calculate_coverage_output(
platform_name='Miseq v3 300 PE',
cluster_size=25000000,
platform_read_length=300,
choose_assay='genome_cov',
choose_sample_or_lane='sample_number',
recommended_clusters=0,
samples=1,
is_sc=0,
max_samples=96,
assay_type_assay_name="",
expected_read_count=0,
genome_size=3200,
coverage=10,
is_pe=1)
self.assertEqual(data_table.get('Expected lanes'),3)
if __name__ == '__main__':
unittest.main()
| 35.469512
| 123
| 0.674746
| 1,473
| 11,634
| 4.902919
| 0.074678
| 0.074772
| 0.081002
| 0.069787
| 0.909305
| 0.887981
| 0.846441
| 0.828441
| 0.789394
| 0.779147
| 0
| 0.078279
| 0.224772
| 11,634
| 328
| 124
| 35.469512
| 0.722475
| 0
| 0
| 0.822981
| 0
| 0
| 0.111388
| 0.025097
| 0
| 0
| 0
| 0
| 0.059006
| 1
| 0.021739
| false
| 0.006211
| 0.009317
| 0
| 0.034161
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
eb66c9e3ead1ab7ae3545effbb3ae3d2c43afd45
| 28,002
|
py
|
Python
|
test/test_config_data.py
|
kevindurston21/YANOM-Note-O-Matic
|
c61845791bccfc043759eaa91e189d31d7276ae2
|
[
"MIT"
] | 7
|
2021-03-01T18:32:26.000Z
|
2022-02-05T22:45:33.000Z
|
test/test_config_data.py
|
kevindurston21/YANOM-Note-O-Matic
|
c61845791bccfc043759eaa91e189d31d7276ae2
|
[
"MIT"
] | 50
|
2021-02-28T17:36:49.000Z
|
2022-03-08T20:09:04.000Z
|
test/test_config_data.py
|
kevindurston21/YANOM-Note-O-Matic
|
c61845791bccfc043759eaa91e189d31d7276ae2
|
[
"MIT"
] | 3
|
2021-06-17T23:55:23.000Z
|
2021-08-09T10:29:54.000Z
|
from pathlib import Path
from unittest.mock import patch
import config
import pytest
import config_data
from conversion_settings import ConversionSettings
import interactive_cli
@pytest.fixture
def good_config_ini() -> str:
return """[conversion_inputs]
# valid entries are nsx, html, markdown
# nsx = synology note station export file
# html = simple html based notes pages, no complex css or javascript
# markdown = text files in markdown format
conversion_input = nsx
[markdown_conversion_inputs]
# valid entries are obsidian, gfm, commonmark, q_own_notes, pandoc_markdown_strict, pandoc_markdown, multimarkdown
markdown_conversion_input = gfm
[quick_settings]
# valid entries are q_own_notes, obsidian, gfm, pandoc_markdown, commonmark, pandoc_markdown_strict, multimarkdown, html
# use manual to use the manual settings in the sections below
# note if an option other than - manual - is used the rest of the
# settings in this file will be set automatically
#
quick_setting = obsidian
#
# the following sections only apply if the above is set to manual
#
[export_formats]
# valid entries are q_own_notes, obsidian, gfm, pandoc_markdown, commonmark, pandoc_markdown_strict, multimarkdown, html
export_format = obsidian
[meta_data_options]
# note: front_matter_format sets the presence and type of the section with metadata
#retrieved from the source
# valid entries are yaml, toml, json, text, none
# no entry will result in no front matter section
front_matter_format = yaml
# metadata schema is a comma separated list of metadata keys that you wish to
# restrict the retrieved metadata keys. for example
# title, tags will return those two if they are found
# if left blank any meta data found will be used
# the useful available keys in an nsx file are title, ctime, mtime, tag
metadata_schema = title,ctime,mtime,tag
# tag prefix is a character you wish to be added to the front of any tag values
# retrieved from metadata. note use this if using front matter format "text"
# or use is your markdown system uses a prefix in a front matter section (most wil not use a prefix)
tag_prefix = #
# spaces_in_tags if true will maintain spaces in tag words, if false spaces are replaced by a dash -
spaces_in_tags = False
# split tags will split grouped tags into individual tags if true
# "tag1", "tag1/sub tag2" will become "tag1", "sub tag2"
# grouped tags are only split where a "/" character is found
split_tags = False
[table_options]
# these two table options apply to nsx files only
first_row_as_header = True
first_column_as_header = True
[chart_options]
# these three chart options apply to nsx files only
chart_image = True
chart_csv = True
chart_data_table = True
[file_options]
source =
export_folder = notes
attachment_folder_name = attachments
# the following options currently only apply to nsx files.
allow_spaces_in_filenames = True
filename_spaces_replaced_by = -
allow_unicode_in_filenames = True
allow_uppercase_in_filenames = True
allow_non_alphanumeric_in_filenames = True
creation_time_in_exported_file_name = False
# if true creation time as `yyyymmddhhmm-` will be added as prefix to file name
max_file_or_directory_name_length = 255
# The following options apply to directory names, and currently only apply to html and markdown conversions.': None,
orphans = ignore
# orphans are files that are not linked to any notes. Valid Values are
# ignore - orphan files are left where they are and are not moved to an export folder.
# copy - orphan files are coppied to the export folder in the same relative locations as the source.
# orphan - orphan files are moved to a directory named orphan in the export folder.
make_absolute = False
# links to files that are not in the path forwards of the source directory will be
# changed to absolute links if set to true. for example "../../someplace/some_file.pdf"
# becomes /root/path/to/someplace/some_file.pdf"
# false will leave these links unchanged as relative links
"""
@pytest.fixture
def good_config_ini_no_notes_or_attachment_folder() -> str:
return """[conversion_inputs]
# valid entries are nsx, html, markdown
# nsx = synology note station export file
# html = simple html based notes pages, no complex css or javascript
# markdown = text files in markdown format
conversion_input = nsx
[markdown_conversion_inputs]
# valid entries are obsidian, gfm, commonmark, q_own_notes, pandoc_markdown_strict, pandoc_markdown, multimarkdown
markdown_conversion_input = gfm
[quick_settings]
# valid entries are q_own_notes, obsidian, gfm, pandoc_markdown, commonmark, pandoc_markdown_strict, multimarkdown, html
# use manual to use the manual settings in the sections below
# note if an option other than - manual - is used the rest of the
# settings in this file will be set automatically
#
quick_setting = obsidian
#
# the following sections only apply if the above is set to manual
#
[export_formats]
# valid entries are q_own_notes, obsidian, gfm, pandoc_markdown, commonmark, pandoc_markdown_strict, multimarkdown, html
export_format = obsidian
[meta_data_options]
# note: front_matter_format sets the presence and type of the section with metadata
#retrieved from the source
# valid entries are yaml, toml, json, text, none
# no entry will result in no front matter section
front_matter_format = yaml
# metadata schema is a comma separated list of metadata keys that you wish to
# restrict the retrieved metadata keys. for example
# title, tags will return those two if they are found
# if left blank any meta data found will be used
# the useful available keys in an nsx file are title, ctime, mtime, tag
metadata_schema = title,ctime,mtime,tag
# tag prefix is a character you wish to be added to the front of any tag values
# retrieved from metadata. note use this if using front matter format "text"
# or use is your markdown system uses a prefix in a front matter section (most wil not use a prefix)
tag_prefix = #
# spaces_in_tags if true will maintain spaces in tag words, if false spaces are replaced by a dash -
spaces_in_tags = False
# split tags will split grouped tags into individual tags if true
# "tag1", "tag1/sub tag2" will become "tag1", "sub tag2"
# grouped tags are only split where a "/" character is found
split_tags = False
[table_options]
# these two table options apply to nsx files only
first_row_as_header = True
first_column_as_header = True
[chart_options]
# these three chart options apply to nsx files only
chart_image = True
chart_csv = True
chart_data_table = True
[file_options]
source = my_source
export_folder =
attachment_folder_name =
# the following options currently only apply to nsx files.
allow_spaces_in_filenames = True
filename_spaces_replaced_by = -
allow_unicode_in_filenames = True
allow_uppercase_in_filenames = True
allow_non_alphanumeric_in_filenames = True
creation_time_in_exported_file_name = False
# if true creation time as `yyyymmddhhmm-` will be added as prefix to file name
max_file_or_directory_name_length = 255
# The following options apply to directory names, and currently only apply to html and markdown conversions.': None,
orphans = ignore
# orphans are files that are not linked to any notes. Valid Values are
# ignore - orphan files are left where they are and are not moved to an export folder.
# copy - orphan files are coppied to the export folder in the same relative locations as the source.
# orphan - orphan files are moved to a directory named orphan in the export folder.
make_absolute = False
# links to files that are not in the path forwards of the source directory will be
# changed to absolute links if set to true. for example "../../someplace/some_file.pdf"
# becomes /root/path/to/someplace/some_file.pdf"
# false will leave these links unchanged as relative links
"""
def test_initialisation(tmp_path):
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
assert isinstance(cd, config_data.ConfigData)
def test_read_config_file_file_missing(tmp_path, caplog):
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
caplog.clear()
cd.read_config_file()
assert cd.conversion_settings.export_format == 'gfm'
assert len(caplog.records) > 0
for record in caplog.records:
if record.levelname == "WARNING":
assert 'config.ini missing at' in record.message
@pytest.mark.parametrize(
'silent, expected', [
(True, ''),
(False, 'config.ini missing, generating new file.\n')
], ids=['silent-mode', 'not-silent']
)
def test_read_config_missing_file(tmp_path, caplog, capsys, silent, expected):
config.yanom_globals.is_silent = silent
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.read_config_file()
assert len(caplog.records) > 0
assert caplog.records[0].levelname == "WARNING"
captured = capsys.readouterr()
assert captured.out == expected
def test_validate_config_file_good_file(tmp_path, good_config_ini):
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.read_config_file()
valid_config = cd.validate_config_file()
assert valid_config
def test_validate_good_config_ini_no_notes_or_attachment_folder(tmp_path, good_config_ini_no_notes_or_attachment_folder):
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini_no_notes_or_attachment_folder, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.read_config_file()
valid_config = cd.validate_config_file()
assert valid_config
assert cd.conversion_settings.export_folder == 'notes'
assert cd.conversion_settings.attachment_folder_name == 'attachments'
@pytest.mark.parametrize(
'key1, key2, bad_value', [
('conversion_inputs', 'conversion_input', 'bad-value-1234'),
('markdown_conversion_inputs', 'markdown_conversion_input', 'bad-value-1234'),
('quick_settings', 'quick_setting', 'bad-value-1234'),
('export_formats', 'export_format', 'bad-value-1234'),
('meta_data_options', 'front_matter_format', 'bad-value-1234'),
('meta_data_options', 'spaces_in_tags', 'bad-value-1234'),
('meta_data_options', 'split_tags', 'bad-value-1234'),
('table_options', 'first_row_as_header', 'bad-value-1234'),
('table_options', 'first_column_as_header', 'bad-value-1234'),
('chart_options', 'chart_image', 'bad-value-1234'),
('chart_options', 'chart_csv', 'bad-value-1234'),
('chart_options', 'chart_data_table', 'bad-value-1234'),
('file_options', 'creation_time_in_exported_file_name', 'bad-value-1234'),
('file_options', 'orphans', 'invalid-value'),
('file_options', 'make_absolute', 'invalid-value'),
]
)
def test_validate_config_file_bad_values(tmp_path, good_config_ini, key1, key2, bad_value):
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.read_config_file()
cd[key1][key2] = bad_value
valid_config = cd.validate_config_file()
assert valid_config is False
@pytest.mark.parametrize(
'replace_this, with_this', [
('[quick_settings]', ''),
('quick_setting = obsidian', '')
], ids=['missing-section', 'missing-key']
)
def test_validate_config_file_missing_keys_and_sections(tmp_path, good_config_ini, replace_this, with_this):
good_config_ini = good_config_ini.replace(replace_this, with_this)
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.read_config_file()
valid_config = cd.validate_config_file()
assert valid_config is False
@pytest.mark.parametrize(
'key1, key2, start_value, end_value, expected', [
('conversion_inputs', 'conversion_input', 'nsx', 'html', 'html'),
('markdown_conversion_inputs', 'markdown_conversion_input', 'obsidian', 'gfm', 'gfm'),
('quick_settings', 'quick_setting', 'obsidian', 'commonmark', 'commonmark'),
('export_formats', 'export_format', 'obsidian', 'multimarkdown', 'multimarkdown'),
('meta_data_options', 'front_matter_format', 'yaml', 'toml', 'toml'),
('meta_data_options', 'metadata_schema', 'title,ctime,mtime,tag', 'something_different',
['something_different']),
('meta_data_options', 'tag_prefix', '#', '@', '@'),
('meta_data_options', 'spaces_in_tags', 'False', 'True', True),
('meta_data_options', 'split_tags', 'False', 'True', True),
('table_options', 'first_row_as_header', 'True', 'False', False),
('table_options', 'first_column_as_header', 'True', 'False', False),
('chart_options', 'chart_image', 'True', 'False', False),
('chart_options', 'chart_csv', 'True', 'False', False),
('chart_options', 'chart_data_table', 'True', 'False', False),
('file_options', 'export_folder', 'export_orig', 'export_new', Path('export_new')),
('file_options', 'attachment_folder_name', 'attachment_orig', 'attachment_new', Path('attachment_new')),
('file_options', 'creation_time_in_exported_file_name', 'True', 'False', False),
('file_options', 'orphans', 'copy', 'ignore', 'ignore'),
('file_options', 'make_absolute', 'True', 'False', False),
]
)
def test_generate_conversion_settings_from_parsed_config_file_data(good_config_ini, tmp_path, key1, key2, start_value,
end_value, expected):
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.read_config_file()
# empty the source entry for config data as will cause error when generating conversion settings
cd['file_options']['source'] = ''
# set start value for conversion setting
setattr(cd.conversion_settings, key2, start_value)
# change value as if read from another file
cd[key1][key2] = end_value
# convert config parser object to conversion settings
cd.generate_conversion_settings_from_parsed_config_file_data()
# confirm conversion setting has changed
assert getattr(cd.conversion_settings, key2) == expected
def test_generate_conversion_settings_from_parsed_config_file_data_test_markdown_pandoc_front_matter_setting(good_config_ini, tmp_path):
good_config_ini = good_config_ini.replace('source = my_source', 'source = ')
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.read_config_file()
cd['export_formats']['export_format'] = 'pandoc_markdown'
cd['meta_data_options']['front_matter_format'] = 'toml'
cd.generate_conversion_settings_from_parsed_config_file_data()
assert cd.conversion_settings.front_matter_format == 'yaml'
def test_generate_conversion_settings_from_parsed_config_file_data_test_source_setting(good_config_ini, tmp_path):
# by inducing a system exit we know the new path was passed into config_settings correctly
# the error is raised when the source setter sees an invalid path
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.read_config_file()
# set the source location
cd['file_options']['source'] = 'new_source'
# confirm conversion_settings source is empty
assert cd.conversion_settings.source == ''
# convert config parser object to conversion settings
with pytest.raises(SystemExit) as exc:
cd.generate_conversion_settings_from_parsed_config_file_data()
assert isinstance(exc.type, type(SystemExit))
assert str(exc.value) == '1'
def test_conversion_settings_property_obj_confirm_obj_read(tmp_path, good_config_ini):
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cs = ConversionSettings()
cs.quick_set_multimarkdown_settings()
cd.conversion_settings = cs
assert cd.conversion_settings.export_format == 'multimarkdown'
assert cd['export_formats']['export_format'] == 'multimarkdown'
def test_conversion_settings_proprty_obj_confirm_config_file_written(tmp_path, good_config_ini):
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cs = ConversionSettings()
cs.quick_set_multimarkdown_settings()
cd.conversion_settings = cs
cd.read_config_file()
assert cd['export_formats']['export_format'] == 'multimarkdown'
def test_conversion_settings_proprty_obj_confirm_string_setting(tmp_path, good_config_ini):
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.conversion_settings = 'multimarkdown'
assert cd.conversion_settings.export_format == 'multimarkdown'
assert cd['export_formats']['export_format'] == 'multimarkdown'
def test_conversion_settings_property_string_setting_confirm_config_file_written(tmp_path, good_config_ini):
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.conversion_settings = 'multimarkdown'
cd.read_config_file()
assert cd['export_formats']['export_format'] == 'multimarkdown'
def test_parse_config_file(good_config_ini, tmp_path):
good_config_ini = good_config_ini.replace('source = my_source', 'source = ')
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.parse_config_file()
assert cd.conversion_settings.export_format == 'obsidian'
def test_parse_config_file_invalid_config_file(good_config_ini, tmp_path):
good_config_ini = good_config_ini.replace('source = my_source', 'source = ')
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
with patch('config_data.ConfigData.validate_config_file',
spec=True) as mock_validate_config_file:
with patch('config_data.ConfigData.ask_user_to_choose_new_default_config_file',
spec=True) as mock_ask_user_to_choose_new_default_config_file:
mock_validate_config_file.return_value = False
cd.parse_config_file()
mock_validate_config_file.assert_called_once()
mock_ask_user_to_choose_new_default_config_file.assert_called_once()
def test_ask_user_to_choose_new_default_config_file_user_choose_exit(good_config_ini, tmp_path, monkeypatch):
print('hello')
def patched_cli(_):
return 'exit'
good_config_ini = good_config_ini.replace('source = my_source', 'source = ')
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
monkeypatch.setattr(interactive_cli.InvalidConfigFileCommandLineInterface, 'run_cli', patched_cli)
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
with pytest.raises(SystemExit) as exc:
cd.ask_user_to_choose_new_default_config_file()
assert isinstance(exc.type, type(SystemExit))
assert str(exc.value) == '0'
def test_ask_user_to_choose_new_default_config_file_user_choose_new_file(good_config_ini, tmp_path, monkeypatch):
import interactive_cli
def patched_cli(_):
return 'default'
good_config_ini = good_config_ini.replace('source = my_source', 'source = ')
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
monkeypatch.setattr(interactive_cli.InvalidConfigFileCommandLineInterface, 'run_cli', patched_cli)
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.ask_user_to_choose_new_default_config_file()
assert cd.conversion_settings.export_format == 'gfm'
def test_str(good_config_ini, tmp_path):
good_config_ini = good_config_ini.replace('source = my_source', 'source = ')
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.parse_config_file()
result = str(cd)
assert result == "ConfigData{'conversion_inputs': {'conversion_input': 'nsx'}, 'markdown_conversion_inputs': {'markdown_conversion_input': 'gfm'}, 'quick_settings': {'quick_setting': 'obsidian'}, 'export_formats': {'export_format': 'obsidian'}, 'meta_data_options': {'front_matter_format': 'yaml', 'metadata_schema': 'title,ctime,mtime,tag', 'tag_prefix': '#', 'spaces_in_tags': 'False', 'split_tags': 'False'}, 'table_options': {'first_row_as_header': 'True', 'first_column_as_header': 'True'}, 'chart_options': {'chart_image': 'True', 'chart_csv': 'True', 'chart_data_table': 'True'}, 'file_options': {'source': '', 'export_folder': 'notes', 'attachment_folder_name': 'attachments', 'allow_spaces_in_filenames': 'True', 'filename_spaces_replaced_by': '-', 'allow_unicode_in_filenames': 'True', 'allow_uppercase_in_filenames': 'True', 'allow_non_alphanumeric_in_filenames': 'True', 'creation_time_in_exported_file_name': 'False', 'max_file_or_directory_name_length': '255', 'orphans': 'ignore', 'make_absolute': 'False'}}"
def test_repr(good_config_ini, tmp_path):
good_config_ini = good_config_ini.replace('source = my_source', 'source = ')
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cd.parse_config_file()
result = repr(cd)
assert result == "ConfigData{'conversion_inputs': {'conversion_input': 'nsx'}, 'markdown_conversion_inputs': {'markdown_conversion_input': 'gfm'}, 'quick_settings': {'quick_setting': 'obsidian'}, 'export_formats': {'export_format': 'obsidian'}, 'meta_data_options': {'front_matter_format': 'yaml', 'metadata_schema': 'title,ctime,mtime,tag', 'tag_prefix': '#', 'spaces_in_tags': 'False', 'split_tags': 'False'}, 'table_options': {'first_row_as_header': 'True', 'first_column_as_header': 'True'}, 'chart_options': {'chart_image': 'True', 'chart_csv': 'True', 'chart_data_table': 'True'}, 'file_options': {'source': '', 'export_folder': 'notes', 'attachment_folder_name': 'attachments', 'allow_spaces_in_filenames': 'True', 'filename_spaces_replaced_by': '-', 'allow_unicode_in_filenames': 'True', 'allow_uppercase_in_filenames': 'True', 'allow_non_alphanumeric_in_filenames': 'True', 'creation_time_in_exported_file_name': 'False', 'max_file_or_directory_name_length': '255', 'orphans': 'ignore', 'make_absolute': 'False'}}"
def test_generate_conversion_settings_using_quick_settings_string(good_config_ini, tmp_path):
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'obsidian', allow_no_value=True)
# remove the config.ini so we can check it is saved
Path(f'{str(tmp_path)}/config.ini').unlink()
assert not Path(f'{str(tmp_path)}/config.ini').exists()
cd.generate_conversion_settings_using_quick_settings_string('gfm')
assert Path(f'{str(tmp_path)}/config.ini').exists()
assert cd['quick_settings']['quick_setting'] == 'gfm'
@pytest.mark.parametrize(
'silent, expected', [
(True, ''),
(False, 'Unable to save config.ini file')
], ids=['silent-mode', 'not-silent']
)
def test_generate_conversion_settings_using_quick_settings_string_to_forced_bad_directory(good_config_ini,
tmp_path,
caplog,
capsys,
monkeypatch,
silent,
expected):
"""Force a bad directory into the config.ini save method to check it is handled and logged"""
config.yanom_globals.is_silent = silent
Path(tmp_path, 'config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(str(Path(tmp_path, 'config.ini')), 'obsidian', allow_no_value=True)
# remove the config.ini so we can check a new one is saved
Path(tmp_path, 'config.ini').unlink()
assert not Path(tmp_path, 'config.ini').exists()
cd._config_file = 'config.ini'
monkeypatch.setattr(ConversionSettings, 'working_directory', Path(tmp_path, "abc"))
cd.generate_conversion_settings_using_quick_settings_string('gfm')
assert not Path(tmp_path, 'abc', 'config.ini').exists()
assert not Path(tmp_path, 'config.ini').exists()
assert caplog.records
assert f"Unable to save config.ini file '{Path(tmp_path, 'abc')}' is not a directory. No such file or directory" in caplog.messages
captured = capsys.readouterr()
assert expected in captured.out
def test_generate_conversion_settings_using_quick_settings_string_bad_value(good_config_ini, tmp_path, caplog):
good_config_ini = good_config_ini.replace('source = my_source', 'source = ')
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
with pytest.raises(ValueError):
cd.generate_conversion_settings_using_quick_settings_string('invalid')
assert 'is not a recognised quick setting string' in caplog.records[-1].message
def test_generate_conversion_settings_using_quick_settings_object(good_config_ini, tmp_path):
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cs = ConversionSettings()
cs.quick_set_commonmark_settings()
cd.generate_conversion_settings_using_quick_settings_object(cs)
assert cd['quick_settings']['quick_setting'] == 'commonmark'
def test_generate_conversion_settings_using_quick_settings_object_bad_value(good_config_ini, tmp_path, caplog):
good_config_ini = good_config_ini.replace('source = my_source', 'source = ')
Path(f'{str(tmp_path)}/config.ini').write_text(good_config_ini, encoding="utf-8")
cd = config_data.ConfigData(f"{str(tmp_path)}/config.ini", 'gfm', allow_no_value=True)
cs = ''
with pytest.raises(TypeError):
cd.generate_conversion_settings_using_quick_settings_object(cs)
assert 'Passed invalid value' in caplog.records[-1].message
| 44.94703
| 1,027
| 0.71902
| 3,873
| 28,002
| 4.899045
| 0.087529
| 0.061189
| 0.045905
| 0.044693
| 0.859334
| 0.817592
| 0.763993
| 0.736692
| 0.708812
| 0.68246
| 0
| 0.005032
| 0.169666
| 28,002
| 622
| 1,028
| 45.019293
| 0.811019
| 0.026248
| 0
| 0.634703
| 0
| 0.015982
| 0.52444
| 0.125615
| 0
| 0
| 0
| 0
| 0.100457
| 1
| 0.06621
| false
| 0.002283
| 0.018265
| 0.009132
| 0.093607
| 0.002283
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
ccf8269b3e8c7a2d5d2a8e2f06fb16f34544e1fa
| 122
|
py
|
Python
|
taggo/__main__.py
|
xeor/taggo
|
130d5229cd8c95628cfbe25297cd14338b31aa59
|
[
"MIT"
] | 14
|
2017-03-28T17:01:55.000Z
|
2021-07-07T19:53:51.000Z
|
taggo/__main__.py
|
xeor/taggo
|
130d5229cd8c95628cfbe25297cd14338b31aa59
|
[
"MIT"
] | 23
|
2017-10-07T19:31:57.000Z
|
2021-04-28T10:52:43.000Z
|
taggo/__main__.py
|
xeor/taggo
|
130d5229cd8c95628cfbe25297cd14338b31aa59
|
[
"MIT"
] | 2
|
2017-06-08T16:09:14.000Z
|
2019-04-03T08:21:05.000Z
|
# Tested outside the scope of where coverage can detect
from . import main # pragma: no cover
main() # pragma: no cover
| 30.5
| 55
| 0.729508
| 19
| 122
| 4.684211
| 0.789474
| 0.224719
| 0.269663
| 0.382022
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.204918
| 122
| 3
| 56
| 40.666667
| 0.917526
| 0.713115
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
690462da9bb0a6d9e5f9597073653d7904f90989
| 5,721
|
py
|
Python
|
stage/configuration/test_opc_ua_client_origin.py
|
Sentienz/datacollector-tests
|
ca27988351dc3366488098b5db6c85a8be2f7b85
|
[
"Apache-2.0"
] | null | null | null |
stage/configuration/test_opc_ua_client_origin.py
|
Sentienz/datacollector-tests
|
ca27988351dc3366488098b5db6c85a8be2f7b85
|
[
"Apache-2.0"
] | 1
|
2019-04-24T11:06:38.000Z
|
2019-04-24T11:06:38.000Z
|
stage/configuration/test_opc_ua_client_origin.py
|
anubandhan/datacollector-tests
|
301c024c66d68353735256b262b681dd05ba16cc
|
[
"Apache-2.0"
] | 2
|
2019-05-24T06:34:37.000Z
|
2020-03-30T11:48:18.000Z
|
import pytest
from streamsets.testframework.decorators import stub
@stub
@pytest.mark.parametrize('stage_attributes', [{'nodeid_fetch_mode': 'MANUAL'}])
def test_(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
def test_application_name(sdc_builder, sdc_executor):
pass
@stub
def test_application_uri(sdc_builder, sdc_executor):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'use_default_cipher_suites': False, 'use_tls': True}])
def test_cipher_suites(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
def test_client_private_key_alias(sdc_builder, sdc_executor):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'use_tls': True}])
def test_keystore_file(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'use_tls': True}])
def test_keystore_key_algorithm(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'use_tls': True}])
def test_keystore_password(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'keystore_type': 'JKS', 'use_tls': True},
{'keystore_type': 'PKCS12', 'use_tls': True}])
def test_keystore_type(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
def test_max_array_length(sdc_builder, sdc_executor):
pass
@stub
def test_max_chunk_count(sdc_builder, sdc_executor):
pass
@stub
def test_max_chunk_size(sdc_builder, sdc_executor):
pass
@stub
def test_max_message_size(sdc_builder, sdc_executor):
pass
@stub
def test_max_string_length(sdc_builder, sdc_executor):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'nodeid_fetch_mode': 'BROWSE'},
{'nodeid_fetch_mode': 'FILE'},
{'nodeid_fetch_mode': 'MANUAL'}])
def test_nodeid_fetch_mode(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'nodeid_fetch_mode': 'FILE'}])
def test_nodeid_file_path(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'nodeid_fetch_mode': 'BROWSE'}])
def test_nodeid_refresh_interval_in_sec(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'on_record_error': 'DISCARD'},
{'on_record_error': 'STOP_PIPELINE'},
{'on_record_error': 'TO_ERROR'}])
def test_on_record_error(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'processing_mode': 'POLLING'}])
def test_polling_interval_in_ms(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'processing_mode': 'BROWSE_NODES'},
{'processing_mode': 'POLLING'},
{'processing_mode': 'SUBSCRIBE'}])
def test_processing_mode(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
def test_request_timeout(sdc_builder, sdc_executor):
pass
@stub
def test_resource_url(sdc_builder, sdc_executor):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'nodeid_fetch_mode': 'BROWSE'}])
def test_root_node_identifier(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'nodeid_fetch_mode': 'BROWSE', 'root_node_identifier_type': 'NUMERIC'},
{'nodeid_fetch_mode': 'BROWSE', 'root_node_identifier_type': 'OPAQUE'},
{'nodeid_fetch_mode': 'BROWSE', 'root_node_identifier_type': 'STRING'},
{'nodeid_fetch_mode': 'BROWSE', 'root_node_identifier_type': 'UUID'}])
def test_root_node_identifier_type(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'nodeid_fetch_mode': 'BROWSE'}])
def test_root_node_namespace_index(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'security_policy': 'BASIC_128_RSA_15'},
{'security_policy': 'BASIC_256'},
{'security_policy': 'BASIC_256_SHA_256'},
{'security_policy': 'NONE'}])
def test_security_policy(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
def test_session_timeout(sdc_builder, sdc_executor):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'use_default_protocols': False, 'use_tls': True}])
def test_transport_protocols(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'use_default_cipher_suites': False, 'use_tls': True},
{'use_default_cipher_suites': True, 'use_tls': True}])
def test_use_default_cipher_suites(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'use_default_protocols': False, 'use_tls': True},
{'use_default_protocols': True, 'use_tls': True}])
def test_use_default_protocols(sdc_builder, sdc_executor, stage_attributes):
pass
@stub
@pytest.mark.parametrize('stage_attributes', [{'use_tls': False}, {'use_tls': True}])
def test_use_tls(sdc_builder, sdc_executor, stage_attributes):
pass
| 29.338462
| 118
| 0.675931
| 666
| 5,721
| 5.39039
| 0.138138
| 0.167131
| 0.112256
| 0.181337
| 0.816435
| 0.799721
| 0.764903
| 0.746518
| 0.667131
| 0.647354
| 0
| 0.00352
| 0.205384
| 5,721
| 194
| 119
| 29.489691
| 0.786186
| 0
| 0
| 0.523077
| 0
| 0
| 0.219056
| 0.041608
| 0
| 0
| 0
| 0
| 0
| 1
| 0.238462
| false
| 0.246154
| 0.015385
| 0
| 0.253846
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
690fd55f1bd8ebee7fc7d14dba2211a16b3ad69e
| 80
|
py
|
Python
|
leaflet_backend/__init__.py
|
hamsteruser/climat_changemap
|
2aa71e2796279e03e37992c2be0ab75629130335
|
[
"MIT"
] | null | null | null |
leaflet_backend/__init__.py
|
hamsteruser/climat_changemap
|
2aa71e2796279e03e37992c2be0ab75629130335
|
[
"MIT"
] | null | null | null |
leaflet_backend/__init__.py
|
hamsteruser/climat_changemap
|
2aa71e2796279e03e37992c2be0ab75629130335
|
[
"MIT"
] | null | null | null |
from .lb import LeafBackend
from .lb import error_404
from .lb import error_400
| 20
| 27
| 0.8125
| 14
| 80
| 4.5
| 0.5
| 0.285714
| 0.571429
| 0.539683
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 0.15
| 80
| 3
| 28
| 26.666667
| 0.838235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
6960ae551226aa535bfe6e03900d58f52504a339
| 186
|
py
|
Python
|
python/testData/inspections/PyStringFormatInspection/TooFewMappingKeys.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/inspections/PyStringFormatInspection/TooFewMappingKeys.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/inspections/PyStringFormatInspection/TooFewMappingKeys.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
<warning descr="Too few arguments for format string">'Hello, {1}'</warning>.format('World')
<warning descr="Too few arguments for format string">'Hello, {} {}!'</warning>.format('World')
| 93
| 94
| 0.704301
| 25
| 186
| 5.24
| 0.44
| 0.183206
| 0.229008
| 0.274809
| 0.717557
| 0.717557
| 0.717557
| 0.717557
| 0.717557
| 0
| 0
| 0.005882
| 0.086022
| 186
| 2
| 94
| 93
| 0.764706
| 0
| 0
| 0
| 0
| 0
| 0.550802
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
15c138b58c35544797a942611892e0d32e46993e
| 2,051
|
py
|
Python
|
tests/quran_qu/test_range_queries.py
|
octabytes/search
|
750124d2de0e349249e3183daccc83ba5a82af36
|
[
"Apache-2.0"
] | null | null | null |
tests/quran_qu/test_range_queries.py
|
octabytes/search
|
750124d2de0e349249e3183daccc83ba5a82af36
|
[
"Apache-2.0"
] | null | null | null |
tests/quran_qu/test_range_queries.py
|
octabytes/search
|
750124d2de0e349249e3183daccc83ba5a82af36
|
[
"Apache-2.0"
] | null | null | null |
from search.nlp.quran_qu import QuranQU
# Queries
#
# user_query = "surah 2 ayah from 1 to 5"
# user_query = "surah 2 from 1 to 5"
# user_query = "surah 2 start from 1 end 5"
# user_query = "surah 2 start 1 end 5"
# user_query = "surah 2 start from 1 to end 5"
def test_query1():
quran_qu = QuranQU()
result = quran_qu.analyze("surah 2 ayah from 1 to 5")
assert result["collection"] == "quran"
assert result["score"] >= 100
assert result["filters"][0]["name"] == "surah"
assert result["filters"][0]["number"] == 2
assert result["range"]["from"] == 1
assert result["range"]["to"] == 5
def test_query2():
quran_qu = QuranQU()
result = quran_qu.analyze("surah 2 from 1 to 5")
assert result["collection"] == "quran"
assert result["score"] >= 100
assert result["filters"][0]["name"] == "surah"
assert result["filters"][0]["number"] == 2
assert result["range"]["from"] == 1
assert result["range"]["to"] == 5
def test_query3():
quran_qu = QuranQU()
result = quran_qu.analyze("surah 2 start from 1 end 5")
assert result["collection"] == "quran"
assert result["score"] >= 100
assert result["filters"][0]["name"] == "surah"
assert result["filters"][0]["number"] == 2
assert result["range"]["from"] == 1
assert result["range"]["to"] == 5
def test_query4():
quran_qu = QuranQU()
result = quran_qu.analyze("surah 2 start 1 end 5")
assert result["collection"] == "quran"
assert result["score"] >= 100
assert result["filters"][0]["name"] == "surah"
assert result["filters"][0]["number"] == 2
assert result["range"]["from"] == 1
assert result["range"]["to"] == 5
def test_query5():
quran_qu = QuranQU()
result = quran_qu.analyze("surah 2 start from 1 to end 5")
assert result["collection"] == "quran"
assert result["score"] >= 100
assert result["filters"][0]["name"] == "surah"
assert result["filters"][0]["number"] == 2
assert result["range"]["from"] == 1
assert result["range"]["to"] == 5
| 29.3
| 62
| 0.607509
| 286
| 2,051
| 4.283217
| 0.125874
| 0.293878
| 0.155102
| 0.163265
| 0.929796
| 0.929796
| 0.929796
| 0.918367
| 0.822041
| 0.756735
| 0
| 0.046012
| 0.205266
| 2,051
| 69
| 63
| 29.724638
| 0.705521
| 0.100439
| 0
| 0.76087
| 0
| 0
| 0.241698
| 0
| 0
| 0
| 0
| 0
| 0.652174
| 1
| 0.108696
| false
| 0
| 0.021739
| 0
| 0.130435
| 0
| 0
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
15ecfbcb8323f84684ff7ddf267358e0244f50ab
| 12,721
|
py
|
Python
|
src/addnn/node/proto/node_pb2_grpc.py
|
MatthiasJReisinger/addnn
|
1d68648e81faf478cfb1f7d9a3f944a014fa3867
|
[
"MIT"
] | 4
|
2022-01-25T23:09:24.000Z
|
2022-03-30T20:57:18.000Z
|
src/addnn/node/proto/node_pb2_grpc.py
|
MatthiasJReisinger/addnn
|
1d68648e81faf478cfb1f7d9a3f944a014fa3867
|
[
"MIT"
] | null | null | null |
src/addnn/node/proto/node_pb2_grpc.py
|
MatthiasJReisinger/addnn
|
1d68648e81faf478cfb1f7d9a3f944a014fa3867
|
[
"MIT"
] | 1
|
2022-01-25T23:08:50.000Z
|
2022-01-25T23:08:50.000Z
|
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from addnn.node.proto import node_pb2 as addnn_dot_node_dot_proto_dot_node__pb2
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
class NodeStub(object):
"""Provides means to configure and monitor an ADDNN compute node.
"""
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.DeployModel = channel.stream_unary(
'/addnn.grpc.node.Node/DeployModel',
request_serializer=addnn_dot_node_dot_proto_dot_node__pb2.LocalLayer.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.DeleteModel = channel.unary_unary(
'/addnn.grpc.node.Node/DeleteModel',
request_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.ActivateLayers = channel.unary_unary(
'/addnn.grpc.node.Node/ActivateLayers',
request_serializer=addnn_dot_node_dot_proto_dot_node__pb2.ActivateLayersRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.DeactivateLayers = channel.unary_unary(
'/addnn.grpc.node.Node/DeactivateLayers',
request_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.ReadNodeState = channel.unary_unary(
'/addnn.grpc.node.Node/ReadNodeState',
request_serializer=addnn_dot_node_dot_proto_dot_node__pb2.ReadNodeStateRequest.SerializeToString,
response_deserializer=addnn_dot_node_dot_proto_dot_node__pb2.ReadNodeStateResponse.FromString,
)
self.UpdateResourceState = channel.unary_unary(
'/addnn.grpc.node.Node/UpdateResourceState',
request_serializer=addnn_dot_node_dot_proto_dot_node__pb2.UpdateResourceStateRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.ReadNeighbourNodes = channel.unary_unary(
'/addnn.grpc.node.Node/ReadNeighbourNodes',
request_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
response_deserializer=addnn_dot_node_dot_proto_dot_node__pb2.ReadNeighbourNodesResponse.FromString,
)
class NodeServicer(object):
"""Provides means to configure and monitor an ADDNN compute node.
"""
def DeployModel(self, request_iterator, context):
"""Deploy parts of a DNN model to this compute node.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def DeleteModel(self, request, context):
"""Delete the deployed DNN model parts from this compute node.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ActivateLayers(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 DeactivateLayers(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 ReadNodeState(self, request, context):
"""Read the current state of this compute node.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def UpdateResourceState(self, request, context):
"""Update the resource state of this compute node.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ReadNeighbourNodes(self, request, context):
"""Read the current neighbours of this compute node.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_NodeServicer_to_server(servicer, server):
rpc_method_handlers = {
'DeployModel': grpc.stream_unary_rpc_method_handler(
servicer.DeployModel,
request_deserializer=addnn_dot_node_dot_proto_dot_node__pb2.LocalLayer.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'DeleteModel': grpc.unary_unary_rpc_method_handler(
servicer.DeleteModel,
request_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'ActivateLayers': grpc.unary_unary_rpc_method_handler(
servicer.ActivateLayers,
request_deserializer=addnn_dot_node_dot_proto_dot_node__pb2.ActivateLayersRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'DeactivateLayers': grpc.unary_unary_rpc_method_handler(
servicer.DeactivateLayers,
request_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'ReadNodeState': grpc.unary_unary_rpc_method_handler(
servicer.ReadNodeState,
request_deserializer=addnn_dot_node_dot_proto_dot_node__pb2.ReadNodeStateRequest.FromString,
response_serializer=addnn_dot_node_dot_proto_dot_node__pb2.ReadNodeStateResponse.SerializeToString,
),
'UpdateResourceState': grpc.unary_unary_rpc_method_handler(
servicer.UpdateResourceState,
request_deserializer=addnn_dot_node_dot_proto_dot_node__pb2.UpdateResourceStateRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
'ReadNeighbourNodes': grpc.unary_unary_rpc_method_handler(
servicer.ReadNeighbourNodes,
request_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
response_serializer=addnn_dot_node_dot_proto_dot_node__pb2.ReadNeighbourNodesResponse.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'addnn.grpc.node.Node', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))
# This class is part of an EXPERIMENTAL API.
class Node(object):
"""Provides means to configure and monitor an ADDNN compute node.
"""
@staticmethod
def DeployModel(request_iterator,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.stream_unary(request_iterator, target, '/addnn.grpc.node.Node/DeployModel',
addnn_dot_node_dot_proto_dot_node__pb2.LocalLayer.SerializeToString,
google_dot_protobuf_dot_empty__pb2.Empty.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def DeleteModel(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, '/addnn.grpc.node.Node/DeleteModel',
google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
google_dot_protobuf_dot_empty__pb2.Empty.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def ActivateLayers(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, '/addnn.grpc.node.Node/ActivateLayers',
addnn_dot_node_dot_proto_dot_node__pb2.ActivateLayersRequest.SerializeToString,
google_dot_protobuf_dot_empty__pb2.Empty.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def DeactivateLayers(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, '/addnn.grpc.node.Node/DeactivateLayers',
google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
google_dot_protobuf_dot_empty__pb2.Empty.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def ReadNodeState(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, '/addnn.grpc.node.Node/ReadNodeState',
addnn_dot_node_dot_proto_dot_node__pb2.ReadNodeStateRequest.SerializeToString,
addnn_dot_node_dot_proto_dot_node__pb2.ReadNodeStateResponse.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def UpdateResourceState(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, '/addnn.grpc.node.Node/UpdateResourceState',
addnn_dot_node_dot_proto_dot_node__pb2.UpdateResourceStateRequest.SerializeToString,
google_dot_protobuf_dot_empty__pb2.Empty.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def ReadNeighbourNodes(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, '/addnn.grpc.node.Node/ReadNeighbourNodes',
google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
addnn_dot_node_dot_proto_dot_node__pb2.ReadNeighbourNodesResponse.FromString,
options, channel_credentials,
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
| 46.427007
| 124
| 0.675497
| 1,251
| 12,721
| 6.496403
| 0.099121
| 0.03273
| 0.052295
| 0.061523
| 0.8441
| 0.809893
| 0.798573
| 0.745417
| 0.737665
| 0.720315
| 0
| 0.004847
| 0.253911
| 12,721
| 273
| 125
| 46.59707
| 0.851438
| 0.066504
| 0
| 0.609865
| 1
| 0
| 0.081099
| 0.043434
| 0
| 0
| 0
| 0
| 0
| 1
| 0.071749
| false
| 0
| 0.013453
| 0.03139
| 0.130045
| 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
|
c60fa0a9dde495eadd1ccd31e0ffea4896695732
| 169
|
py
|
Python
|
0x01-challenge/status_server/api/v1/views/__init__.py
|
B3zaleel/Fix_My_Code_Challenge
|
6efa9e246700b639f2c6ac567c1c895d42c5423c
|
[
"MIT"
] | null | null | null |
0x01-challenge/status_server/api/v1/views/__init__.py
|
B3zaleel/Fix_My_Code_Challenge
|
6efa9e246700b639f2c6ac567c1c895d42c5423c
|
[
"MIT"
] | null | null | null |
0x01-challenge/status_server/api/v1/views/__init__.py
|
B3zaleel/Fix_My_Code_Challenge
|
6efa9e246700b639f2c6ac567c1c895d42c5423c
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python3
""" Views module
"""
from flask import Blueprint
app_views = Blueprint("app_views", __name__, url_prefix="/api/v1")
from api.v1.views.index import *
| 21.125
| 66
| 0.727811
| 25
| 169
| 4.64
| 0.64
| 0.206897
| 0.293103
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02
| 0.112426
| 169
| 7
| 67
| 24.142857
| 0.753333
| 0.177515
| 0
| 0
| 0
| 0
| 0.122137
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
|
0
| 7
|
c6259a3244b0be9a4149c9a4a514a57acf7f939a
| 96
|
py
|
Python
|
british_express/models/__init__.py
|
Vikash-Kothary/british-express-python
|
1946fdefc3812d9976e9bc718755b55048330a73
|
[
"MIT"
] | null | null | null |
british_express/models/__init__.py
|
Vikash-Kothary/british-express-python
|
1946fdefc3812d9976e9bc718755b55048330a73
|
[
"MIT"
] | null | null | null |
british_express/models/__init__.py
|
Vikash-Kothary/british-express-python
|
1946fdefc3812d9976e9bc718755b55048330a73
|
[
"MIT"
] | null | null | null |
from british_express.models.user import User
from british_express.models.picture import Picture
| 32
| 50
| 0.875
| 14
| 96
| 5.857143
| 0.5
| 0.268293
| 0.439024
| 0.585366
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 96
| 2
| 51
| 48
| 0.931818
| 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
|
c636413a04d099e7b384c440362703aea7cb19d0
| 3,165
|
py
|
Python
|
nbgrader/tests/apps/test_nbgrader_extension.py
|
FrattisUC/nbgrader
|
f6402dcbb875e41ee3317be9e7af518afda9f72c
|
[
"BSD-3-Clause-Clear"
] | 2
|
2021-09-11T20:32:18.000Z
|
2021-09-11T20:32:37.000Z
|
nbgrader/tests/apps/test_nbgrader_extension.py
|
FrattisUC/nbgrader
|
f6402dcbb875e41ee3317be9e7af518afda9f72c
|
[
"BSD-3-Clause-Clear"
] | 1
|
2018-10-31T15:54:37.000Z
|
2018-10-31T15:54:37.000Z
|
nbgrader/tests/apps/test_nbgrader_extension.py
|
FrattisUC/nbgrader
|
f6402dcbb875e41ee3317be9e7af518afda9f72c
|
[
"BSD-3-Clause-Clear"
] | 1
|
2019-09-13T07:46:09.000Z
|
2019-09-13T07:46:09.000Z
|
import os
import nbgrader
import sys
import contextlib
@contextlib.contextmanager
def mock_platform(platform):
old_platform = sys.platform
sys.platform = platform
yield
sys.platform = old_platform
def test_nbextension_linux():
from nbgrader import _jupyter_nbextension_paths
with mock_platform("linux"):
nbexts = _jupyter_nbextension_paths()
assert len(nbexts) == 4
assert nbexts[0]['section'] == 'notebook'
assert nbexts[1]['section'] == 'tree'
assert nbexts[2]['section'] == 'notebook'
assert nbexts[3]['section'] == 'tree'
paths = [ext['src'] for ext in nbexts]
for path in paths:
assert os.path.isdir(os.path.join(os.path.dirname(nbgrader.__file__), path))
def test_nbextension_mac():
from nbgrader import _jupyter_nbextension_paths
with mock_platform("darwin"):
nbexts = _jupyter_nbextension_paths()
assert len(nbexts) == 4
assert nbexts[0]['section'] == 'notebook'
assert nbexts[1]['section'] == 'tree'
assert nbexts[2]['section'] == 'notebook'
assert nbexts[3]['section'] == 'tree'
paths = [ext['src'] for ext in nbexts]
for path in paths:
assert os.path.isdir(os.path.join(os.path.dirname(nbgrader.__file__), path))
def test_nbextension_windows():
from nbgrader import _jupyter_nbextension_paths
with mock_platform("win32"):
nbexts = _jupyter_nbextension_paths()
assert len(nbexts) == 3
assert nbexts[0]['section'] == 'notebook'
assert nbexts[1]['section'] == 'tree'
assert nbexts[2]['section'] == 'notebook'
paths = [ext['src'] for ext in nbexts]
for path in paths:
assert os.path.isdir(os.path.join(os.path.dirname(nbgrader.__file__), path))
def test_serverextension_linux():
from nbgrader import _jupyter_server_extension_paths
with mock_platform("linux"):
serverexts = _jupyter_server_extension_paths()
assert len(serverexts) == 3
assert serverexts[0]['module'] == 'nbgrader.server_extensions.formgrader'
assert serverexts[1]['module'] == 'nbgrader.server_extensions.validate_assignment'
assert serverexts[2]['module'] == 'nbgrader.server_extensions.assignment_list'
def test_serverextension_mac():
from nbgrader import _jupyter_server_extension_paths
with mock_platform("darwin"):
serverexts = _jupyter_server_extension_paths()
assert len(serverexts) == 3
assert serverexts[0]['module'] == 'nbgrader.server_extensions.formgrader'
assert serverexts[1]['module'] == 'nbgrader.server_extensions.validate_assignment'
assert serverexts[2]['module'] == 'nbgrader.server_extensions.assignment_list'
def test_serverextension_windows():
from nbgrader import _jupyter_server_extension_paths
with mock_platform("win32"):
serverexts = _jupyter_server_extension_paths()
assert len(serverexts) == 2
assert serverexts[0]['module'] == 'nbgrader.server_extensions.formgrader'
assert serverexts[1]['module'] == 'nbgrader.server_extensions.validate_assignment'
| 38.13253
| 90
| 0.680253
| 360
| 3,165
| 5.736111
| 0.144444
| 0.063923
| 0.077482
| 0.116223
| 0.9046
| 0.874576
| 0.874576
| 0.853269
| 0.82615
| 0.743341
| 0
| 0.011481
| 0.201896
| 3,165
| 82
| 91
| 38.597561
| 0.806017
| 0
| 0
| 0.735294
| 0
| 0
| 0.179147
| 0.105213
| 0
| 0
| 0
| 0
| 0.411765
| 1
| 0.102941
| false
| 0
| 0.147059
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
c6376f05dac49d63b783e3d81561dded06057ad0
| 8,813
|
py
|
Python
|
src/main/python/year_2015/problem 3.1.py
|
TheBestPessimist/Advent-of-Code-Problems
|
ee9c97f7d85b7f5ebc0bea285938ca75f2fdfddc
|
[
"WTFPL"
] | null | null | null |
src/main/python/year_2015/problem 3.1.py
|
TheBestPessimist/Advent-of-Code-Problems
|
ee9c97f7d85b7f5ebc0bea285938ca75f2fdfddc
|
[
"WTFPL"
] | null | null | null |
src/main/python/year_2015/problem 3.1.py
|
TheBestPessimist/Advent-of-Code-Problems
|
ee9c97f7d85b7f5ebc0bea285938ca75f2fdfddc
|
[
"WTFPL"
] | null | null | null |
# problem 3.1
from collections import namedtuple
road = '>^^v^<>v<<<v<v^>>v^^^<v<>^^><^<<^vv>>>^<<^>><vv<<v^<^^><>>><>v<><>^^<^^^<><>>vv>vv>v<<^>v<>^>v<v^<>v>><>^v<<<<v^vv^><v>v^>>>vv>v^^^<^^<>>v<^^v<>^<vv^^<^><<>^>><^<>>><><vv><>v<<<><><>v><<>^^^^v>>^>^<v<<vv^^<v<^<^>^^v^^^^^v<><^v><<><^v^>v<<>^<>^^v^<>v<v^>v>^^<vv^v><^<>^v<><^><v^><><><<<<>^vv^>^vvvvv><><^<vv^v^v>v<<^<^^v^<>^<vv><v<v^v<<v<<^^>>^^^v^>v<><^vv<<^<>v<v><><v^^><v<>^^>^^>v^>^<<<<v><v<<>v><^v>^>><v^^<^>v<vvvv<>>>>>^v^^>v<v<^<vv>^>^vv^>vv^^v<<^<^^<>v>vv^v>><>>>v^>^>^^v<>^<v<<>^vv>v^<<v>v<<><v>^vvv<v<vvv^v<vv<v^^^>v><<^<>><v^^>^v^>>^v<^<><v<>>v^<>>v<>>v^^^><^>>vvvv>^v<^><<>>^<>^>vv><v<<>>^^>v^^^><^<<^^v>v<^<<>v>^^vvv^v^>v^<>^^<>v^v>v>v<v^>vv>^^v<>v>>^<>><>v>v^<<vvvv<vvv><v^<^>^v<>>^><v>><>^<v>v<v>vv^>>vvv<>v>v<v^>>^>>v<<>^<>^<>>>^v<<<^<^v>vv^>><<><v^>^v^^^v<>^^vv><>><>>^>v^<v<>v<>>^<<^v>^^^<>^v^><>v<<v>vv^>vv<<>>><<^v^<>v<vv>>>^^<>^><<^>vv>>^<<v^^vv<>>><v>v><^<v<<>>>^^<>>^<^v><>vv^^^v>vvv>^><<>^^>^<<v^<v<^v<<>vvv<^<<>^>^v<vv<^>vvv>v>vv^<v^><>>^vv<^^^vv><^vv<v^<><v^vvv><<^>^^><v<<vv^>v<vv<v>^<>^v<<>v<v^v^>^>^>v<<^vvv<<<v>^^>^<<<<>vv>>^<>^>>>v<v>^^<v^<v<>>>vv>^^v<<>>>^^v><<<v<v<^v<>^^><v<^v<<v^><><^<><v<^^v>>><v^^v<<v^><^<><<v^>><^<>v>v^<><^<v>^v^>^>^vv^>^^<<vv^>vv<^vvv<>>^^<^>v^>^>^<v^><v<v>>>v<<<><^v<<><^<vv^v^^^>v<^^<v^vvv<v<><v<vv<^vv<>vv<v^<>>vvvvv<<>^v^v>vv>>>vvv^^<^<^<><>v<v>><^v><^<<<>><<<v>^>v<>^>^v>>^<>v^<^>><<>^<v>^>^^^>^^<v>>>><>^v^v><<<<vv^<vv<>vv>v<>v^<v^>v><>>>v^<><^vvv>vv^<^<<^<^^v>^>>>v<^<^v^^<^<^>>><v>vv>^<<><>^>>v>^<<>><^<>v<>vv^^>^>vvv^v<<^<^^<vv<>^vvv<^^v^vv^>>v<^>^^<v^<>v<^<^vv>v<<vv>vv>^>vvv>>>^^>v<>^v>v^<^>>v>^^v>>>>v^<v>v<^>v<v<<>>^v<^^<v><^<>>^<<vv^>>v<<v>^v<>><^>vv<v<^>>^^<vvvvvvvvv>>>v<v<>v^<>>^vv<v^^v<<^vvv^<<^><>vv<><<>>v>vv^><>>^^v^>>v^v^><<<>>^^<^v<<^<>>>>^<^>v^><<^>v<^v<^>>^^<<<<><^<^v^v<>>^v<^<<vv^<><^^vv><v^v^v>^>>^>^vv^>^v<v^v<<vvv^><>>^v^^><>v>vv><^>>vv<vvv<<<<^<>vvv^v<v>^<v<^>^<^<v<><>v^^^^<<vv<^^vv<v>><<v^><>>><v^>^v><^>^><vv^<><^<v>><<^vv<>>v^<<v<>v><v<><><vv>^>>v^<^<v>^><>>><^><v^v<>>>^^<^>v<v>vvv<>^<<><v^^>^>>v<^v>^>v>>>vv>v>>v^^^<^<vvv^<>^>^<v^<v^v>v>^>vv>vvv<>v<^>v>^^>>^<vv^^v>v^^^^^v^vv><^<><>^>vv<^>>^vvvv^^^>^<vv>^v<<^><^^>^<>^^>^<<v<^>>>^><<^^>v^v>>^>vvvv>^^v><v>>vv><<<vv<^>v>^^^<v>v^vvv<^><<^>^<>^><<<<<v^<<vv^v>^<>v<v>^>^>><>v^v<^vv^^>vv<<v^v>vv^vvv<<<<>^v<v^^v^v>v<<v>^^<>^vv^^>^>^v^vv^>>v^vv^^<vv><<v^v^^v><vv<^vvv<vv^^<<v>v^v^^^^v<^<^>v>^>v>^vv^v^^<v<^vvvv<<<>^<^^^<^^<>^<><vv<^^<<^>>><v^vvvv>^<>>^^>v^^v^<<v^^^<<<><^<v^v^^v<v^<>v><<v<>^v>v<^><^>vv^^<vvv<^v>>v>^<><v^><^^^<v^>>vv<<<<<^<>^v^v>^vv^<>v>v<^>vv<<^vv>vv<v<><>>v>><v<^<^^>><<v^v<<^><v<^<vv<v<<vv^>^<<><^^>^<^>>^<vv>><v<<vvv<^^v^>^^<^v>^v<v<>v><v^v^<<^<><<v<<^v>v<<>>^>v>>v>>v<^<<^<^>>>v>^^^v><^>^^>>v<<>^v><v>vvv^vv<<<>vvv<<>^>>>v<v<v^<^<^>^<^>v^^v<^^<v<>v<>>^^>^v^>v<<<<^<>v^><<<v>>>><<v^<^vv>v>><>>^<<<^<^^>v<>>v<>vv<<^<<><<^>v^^^vv^>vvvv>>v>v^><<v<>vv^<<><<vvv>^>>>^<<<^<^<<v>^>v<>>v>>vv^^><<<<^^^v>><<^><v><v^^><v<<v^^v^^v>>v<><><<>^><v><^<vv>><^v<>v<vvv<>^>><v>>v<^><<v>^<>^v><^><^^<v>^><^^v^<<><>>^>v^<^v^vv<><^>vv^>v^vvv^<>>^><^<^<>^<<v^v<^v><>^v<v>>^>>^v^vv>><vv><v^^<<^v^<>^v<<>^><^>><v>>v<<<v^^vv<>^^v>>><><><<v^<<<v^<^^><v^>v^^vv<v^<>>vv^<^v<>^v>>v^v>v<^^vv><>^v<<>v^<>v^>>v>vvv<^><><^^>^vv^>>v^>^<^^<><>><<>^^^><^v^v><<<><<^v^vv>v>><^>>><v^>v<v><><v^v<>v^^>>v<<>v>v<v<v<^^<><>v^^<>>v<^v<v>v<><v<v>^<<>v>vv^^<>>^^^<>^^>^v>v>>>^v^v><v^^<><v>^^v^v<^<^^><<v<^<^<>^<>><<>^>>^>^^><v><>v<><>><<<>>>>vv>>>^>>^v<^>v^^^v<<vv>><<<^<<<>>>>>^>vv<^v^<>^<v^>^v><v>vvv<>>>^v^^^v<<<<>>^^<vv<^<^^>^<>v<^<<<>><>>v<^<>^<vvv<^<>><><<v>^^^>^^<<v<v^>^^v^>><<^vv><v>^v>>^<v>v>^^>^v>^vvv<>v^v^^<><vv>vv^>>><>v<^><v<v^<><<<>^v>^v<<<^>^>^>v^v<<><vvv<<v^^<><v>^>>><vv>><v>>v^<vv>>vv<<^v^v<<><^v<vv>>>vv<>>>>^vv>v^<>vv>v^v<v^><v<^^^^^>vv<><<vvv^<v><^<vv><^^^vv^<>^^^^<^><^<>v^<v^v<<^v<<^^<>>^<v^^>>>vv<vvv<>v<<>><^vvv^<<^^<<>>>^<>>>v^^><>><<>><v^v>>>>>><>>><v^<<vvv^>v<>>v^<>vv<><^^^^v^<<^<v^vv><<^^>v<^vvv^v>>v>^>>v>^^><<v^<>v<>vv<^v^vv><v><<vv^v>>v^>>v<^^^>^><<v<>^><>v>>>vvv<v<vv<^>>^v<v>^<^^^^^v><>v><>v^v^v<v^vv^v>vvvv<>vv<<<vv<v<<>^<^>^^v^<<>^<v><^><v<v<><<>v^<<^<><vv>v<<^v>>^v<><v>^>>^^><>v^<^<vvv^>^>^<<<<>vv>^v^v<^^^<vv>><>^^<<v<^<^^>>>v^v<<^^^<v<v<^<>^v<v><v^vv^^v^^v^^<vv<>^<><vv^<^v^<<^><<vvv>^^<^^^<^v>^>^vv><<<^v<v>vv>v<>v^v<v^>v^>>>v^v<>^v<<>^vv>v>v>v^<^>v^^<^>^^^^vv>^^><^>vv^>>^^v>><<<<^><>v<>^<v<vv^>^^><<^><v>v^>^^<^>>><>><v^v<v^<v<vv^v^<<^<vvv>>><vv<^^>>^>^><<v^<>>v>v^v^^><<>vv^v>v^<v><^<>^^<^>v>^<><<<v>^<^<^>^>^>^^v^<<^^v^^<^<>><^>v>>^^<>^^^<<<<v^>^v<^vv>^<<<v<><<v<>vv>>>v><>>><>>v<<<vv><>^v>v<^>><^><><v<>^v^>^v>^v<<><<^<>>v>^><>^>><>><^<v^><v^^<><v><^^>^v^^<>v^<v^<^v<v^^^^^v^<<^>^^^<^v><>^^<<<><<<<<^^>v^vvvv>v<>>vv<^>^v^>v<^vv^v<<><<v>v^v>^^><><^<v^>v><vv><>>><<>^vv<>v>>v<^v>>>v<v>v>v>^vv<<>^^vv<v<^v^<v<v>vv<>^<^<vv<v^<^v^^><<>^>><^v>vv^^v<<^^><<>v^^<><><v^^<v^v>^>^>^>v<^<v>^v^^>v<>vvv<^v<v^v><<v^><<^^><^<<v^v^>v<>^>v><><v>^<v<v>^<^^^>^v<<><<><>vv>v^<>v^><v^v<v><><<v>v<vv><<v>>v>^<<<>vv>>vvv>^^vv^v^^<^^<>v^^<>v>>^^>^>^>v>><^>><>>^<<>><^>v<<<<<<<^v^v<v^<v^^>^<><<v<^>v^>v^vv<<^^vv^>>>>^<>v<^v<>v<vv<^>>v^vv>vv><vv<<^>v>><vv>>>vv^<<<<vv^>v<<<<^^>^^v^><<^<v^>v^>^^<v<>vvv^>^<>vvv<v<^^>v^<<v>><>v<v<>^^<vvv>^>vv><><<<^^vv<v^<v<>v<>><<v><^vv^>^<^>^^^<<<v>vv^<^<<>^>^<vv>v><v<<^><^>^^<vv^v^^>>>>vv^><^^vv><>^<v^v>v<vv>v><<<v>v<v>^><v^^><v>v<^v^>>^^<v^>^^>vv>>vv^><^vv^vv<<^>vv>^v<v><vv><v<vvvvv>^^v^v><v>>>^vv<>v>^^^^<^>><>^v^^^>v<^^<<^^v<vv<>vvv<^>><><^>>^><^<>v<v<<><<v><v^v<>><^>v><<v^<v>v<^<vv^v^v^>vvv^^>v>^<vv^>v^v^<>v>^>>vv>><^^<v<<>^vv<><><<^v<v>v<<vv><>><^v<v>>v^>vvv^v^<<^><v<>^vv^>v^<v<^>>v<v><v><v>>^<<<v^<><<>v>^>^^<v<>>^<>^>^><<<^<<^<<^>^v>>><vvv>><<<<v>>>>>>>^<^v<^>v<>vv<><>v>>^>>^>vv^^><<^<v<v>>^^<<^>v<^>>vv>^<>v><^>v<vv>>>>>>^v<^<<<v^><vv<<>>vv<<><v<><<<v<^<v<>>v<^^^^v^^<^^^<^<vv><<^>><>v<<>v<v<>>>><>v^vv>^>^>>vv^v<v<<><^v>vv^><v<<>v^v<^>vv<<^^v><^>>^^vv<^<>>v^^>><v>^v>>>^>>v>v<>v<^vv><>^<<^>vv>>><><>v^><>v^>v>v><^v<><v<v>^v<<^vv^><^^>><^^^<<<^>v>^v>>><^>><^>>>^^^<^>vv<><<<v^>^<^^>>^^^v^v^v>v<v>>>><^>>>v>^vv<<^^^<^^vv>v<<><v<<^^>v>><<v^^><^>^<^>^v^>v><^<^vv>v>><>^<<vv<<v>v<vv<v>^>^>><^^<v>^v^v<><<>vvv<^<v>^><>^>vvv>>>^><<>><v^^<^<<^v>>^v<v<vv>vv^v^>v<<vvv<^^v^v>^<^>>^>v<^>^v<<><<<^>^<^^^>vv<^^^^vv<v<^^v<<<<v<^v^<><v<<^><<>vv>>><^<^<>>>^>^>>^<<<<<^^v>^>^<>vvv^^<^><^>^^v>^vv^><v^<^<<v^<vvv<<^v<><^><^>>>v>^v>^>^v<vv^v>><v><^><v^^>v^>^<><<><>v<v^>vvv^>^>>v<>^><^>^><vvv>^^v^v>v<>^v^><^>>v>v^><<<^>>^<>^<>>v><>>v^>^>^^<>>v^>^<vvvv<^vvvv^>>vv^<v^v>^vv<>v<>^<v<v>v>^^><^>vv^<^v^<<^<^<><vv<^v<^v><>>>^v^<<^><^>vv<v>v<^>vv^>v<<<>^<><v<^^^>v><^^<>^<^<v^vv^<<^>><<v^v<^vvv<<<>>vvvv^v^^^>v<>>><<>vvv<<^^^>v>v>>v<<v<v^v^>^^v>^><^<><<v^<v<v^^^><>v^^^<v>vv<>^>^^vv>^<<^v<^v><v>>>^>>><^<<>^v>>^>vv<<<v<>^<v><v^<^<>v>v^^v^>><<^v<<<<>v>v>v^^<^><>^^<<<v>vv<>>>^>>v<><v^>^<><vv>v>v^v<v^<^>>^>><<^^<^^v<vv<>><<<v<^<<^^^>vvv^<vvv<^>vv><>><<<^<v^v^^<<^vvv^^<^<><<>^<^<>>vvv<>^<>v^v<><>>v^v><<>>>vvv>v<>^>>^><^>vv<<>>v<<^><>v>>^^<v>^>^<<>><^<<vv<^<vv^vv><>>>><^<v>^>vv<v><>^<>vvvvv^vv<<v<>>>^<<><>^^vvv>>>vv<<^^><^v^^v<>^^>^><^>v^^^^v<^<<vv<vv<>vv^^>v^vv>v><>>vv>^<^<v^v^>>v^v^^v>^>vv^>v<vvvv<^v<^v>^v>^^v<<^>^^<<>^><^v>>>vv^>^^>vvvv>>v<^<v>^>>>v^<><^<^^<v>vv^^><v>v^<>^^^>>><^^v>v>^<<>^<v^>vvv^>^^^><v<^>>v<v>>^v><<><<>v<^<<>^><>^>vv>^<v>^^v<<^v^vvv^^>^vv^<^>^>^^v>v^>^<<><<^>v>>vv^vv><v>>^<<^<v^^<^<v^^vv^><^^<^^><v^^>v^^^<^<>^<>>^v<^vvv^^v^<><^>>>>>v><><<<>vv<^v>><<>vvv<><<vv<<<^>v^^>>^>^v>><><^^v<>><>>v^>^<vv><<<>><><<v>^^<>>v<><^<vv>vv<^v>^<<<<v<^<<^^>>^<><^>><<>^>v>^^^v>>^<^^v><v^v>^><<><>>^>>^<<v<>^v<>^>^<v>>vv>^vvv<<v<<^>^>^<<^^<>^^^^vvv<>^vv<vvvvv^^>^^<^>>><>v^<><^<<^>v^^v<>>^vv<>v^^<>>v^vvvvv<<v^<v^^>>><vvvvv>><^>vv>v^v^<v<^>^^><^>^^^^v<><^v<<>v^>v>>vv<<>^<v^^>vvv>^^<v^<>vv^><>><v^^v<>^>>^>v><>>^^v>^>^>>>^>v<^v>v>^<^^^^^>>v<v<>>v<<^>^<v<<>^^>><<^><>v<>^^^vv<>^^>><<^^>v>vv>vv>v^>^v>v^^<>>><<v><v<<>>v><>vvv^^v>^^>^vvvv^>^<>^vvvv><v><v<>>><>^<^vv<>^v<^v<>^vvv<<>><vvv^>>^><<vv^<v^>^<v<<^^>^^<^^v^>v<>v^v><>><v^^>>^vvv><^vv>v^<^<^v>>v^^>^vvv^<v^^v^^>v<^<>>^<>>>^^<><^^vv<>^vv^<>>>>^^<<^^<>vv^^><>^^<v<<v>^<v^^>^v<><><>vvv>^v^>>vv<<^v<<>><v>^><^>>>^<^<^^>vv^<<^<>>^^><><<v>^^<v>>v<<vvvv>^v^vv>><^^<<^>>v>v<^^^<^><^^vv>^vv<^<vv<>v><^<><v><^^^>>^<><^<v>>>>v^<v>>>>>v<><^^>v<^<^>><v<>^>vv>^^v^v^<<v<><<<^v^><<^<><<<<v<^>><<<>v>>vv><vv<><<^<^<><vv>^^^^<>v<<<<v>vv<>vv^^^>><>vv^><>>^vv<<><^^vv<>v^>>^<<>^<v^<^>v<'
def get_tuple_from_house(local_houses, x, y):
for t in local_houses:
if t.x == x and t.y == y:
return t
return None
houses = {}
House = namedtuple("House", ["x", "y"])
x = 0
y = 0
houses[House(x, y)] = 1
for r, i in enumerate(road):
if r == "v":
y -= 1
elif r == "^":
y += 1
elif r == "<":
x -= 1
elif r == ">":
x += 1
house = get_tuple_from_house(houses, x, y)
if house == None:
houses[House(x, y)] = 1
else:
houses[house] += 1
print(len(houses))
| 225.974359
| 8,201
| 0.271531
| 1,612
| 8,813
| 1.479529
| 0.022953
| 0.679245
| 0.744654
| 0.722851
| 0.872537
| 0.852411
| 0.833962
| 0.799161
| 0.767296
| 0.708595
| 0
| 0.001279
| 0.024169
| 8,813
| 38
| 8,202
| 231.921053
| 0.276047
| 0.001248
| 0
| 0.074074
| 0
| 0.037037
| 0.932159
| 0.930909
| 0
| 0
| 0
| 0
| 0
| 1
| 0.037037
| false
| 0
| 0.037037
| 0
| 0.148148
| 0.037037
| 0
| 0
| 1
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 15
|
c6461f248aa5133c57bc838fff98f8198a20a1df
| 7,522
|
py
|
Python
|
tests/test_DataDitto.py
|
ezekielg/NukedML
|
27071d2f98aa7ded5d1662cfcbc5d66b51a19e76
|
[
"MS-PL"
] | 1
|
2020-11-21T07:44:04.000Z
|
2020-11-21T07:44:04.000Z
|
tests/test_DataDitto.py
|
ezekielg/NukedML
|
27071d2f98aa7ded5d1662cfcbc5d66b51a19e76
|
[
"MS-PL"
] | null | null | null |
tests/test_DataDitto.py
|
ezekielg/NukedML
|
27071d2f98aa7ded5d1662cfcbc5d66b51a19e76
|
[
"MS-PL"
] | null | null | null |
import pytest
import pandas as pd
import datetime
from NukedML.Utilities.DataDitto import Faker
class TestDittoDataFrameShapes:
def test_empty_df_size_eq_0(self):
df_json = {}
df = pd.DataFrame(df_json)
fakey = Faker.ditto_dataframe(df, size=0)
assert fakey.shape==(0, 0)
def test_empty_df_size_gt_0(self):
df_json = {}
df = pd.DataFrame(df_json)
fakey = Faker.ditto_dataframe(df, size=42)
assert fakey.shape==(0, 0)
def test_filled_df_size_eq_0(self):
df_json = {
'column_1': ['Apple', 'ApPlE', 'banana', 'BANANA', 'Banana', 'Orange', 'Apple', 'APPLE', 'Cherry', 'Cherry'],
'column_2': [1, 2, 3, -1, -2, -3, 4, 6, 1, -1],
'column_3': [True, True, True, False, True, False, False, False, False, False],
'column_4': [1.0, 2.0, 3.0, -3.14, -3.14, -42.69, -69.42, -69.42, -100.1, 99],
'column_5': ['2017-03-25 15:16:45', '2017-03-25 15:16:45', '2017-03-19 15:16:45', '2017-03-22 15:16:45',
'2017-03-22 15:16:45', '2017-03-19 15:16:45', '2017-03-30 15:16:45', '2017-03-22 15:16:45',
'2017-03-30 15:16:45', '2017-03-25 15:16:45']
}
for i, _ in enumerate(df_json['column_5']):
df_json['column_5'][i] = datetime.datetime.strptime(df_json['column_5'][i], '%Y-%m-%d %H:%M:%S')
df = pd.DataFrame(df_json)
fakey = Faker.ditto_dataframe(df, size=0)
assert fakey.shape==(0, 5)
def test_filled_df_size_gt_0(self):
df_json = {
'column_1': ['Apple', 'ApPlE', 'banana', 'BANANA', 'Banana', 'Orange', 'Apple', 'APPLE', 'Cherry', 'Cherry'],
'column_2': [1, 2, 3, -1, -2, -3, 4, 6, 1, -1],
'column_3': [True, True, True, False, True, False, False, False, False, False],
'column_4': [1.0, 2.0, 3.0, -3.14, -3.14, -42.69, -69.42, -69.42, -100.1, 99],
'column_5': ['2017-03-25 15:16:45', '2017-03-25 15:16:45', '2017-03-19 15:16:45', '2017-03-22 15:16:45',
'2017-03-22 15:16:45', '2017-03-19 15:16:45', '2017-03-30 15:16:45', '2017-03-22 15:16:45',
'2017-03-30 15:16:45', '2017-03-25 15:16:45']
}
for i, _ in enumerate(df_json['column_5']):
df_json['column_5'][i] = datetime.datetime.strptime(df_json['column_5'][i], '%Y-%m-%d %H:%M:%S')
df = pd.DataFrame(df_json)
fakey = Faker.ditto_dataframe(df, size=42)
assert fakey.shape==(42, 5)
class TestDittoDataFrameColumnSizes:
def test_empty_df_size_eq_0(self):
df_json = {}
df = pd.DataFrame(df_json)
fakey = Faker.ditto_dataframe(df, size=0)
assert fakey.columns.size==0
def test_empty_df_size_gt_0(self):
df_json = {}
df = pd.DataFrame(df_json)
fakey = Faker.ditto_dataframe(df, size=42)
assert fakey.columns.size==0
def test_filled_df_size_eq_0(self):
df_json = {
'column_1': ['Apple', 'ApPlE', 'banana', 'BANANA', 'Banana', 'Orange', 'Apple', 'APPLE', 'Cherry', 'Cherry'],
'column_2': [1, 2, 3, -1, -2, -3, 4, 6, 1, -1],
'column_3': [True, True, True, False, True, False, False, False, False, False],
'column_4': [1.0, 2.0, 3.0, -3.14, -3.14, -42.69, -69.42, -69.42, -100.1, 99],
'column_5': ['2017-03-25 15:16:45', '2017-03-25 15:16:45', '2017-03-19 15:16:45', '2017-03-22 15:16:45',
'2017-03-22 15:16:45', '2017-03-19 15:16:45', '2017-03-30 15:16:45', '2017-03-22 15:16:45',
'2017-03-30 15:16:45', '2017-03-25 15:16:45']
}
for i, _ in enumerate(df_json['column_5']):
df_json['column_5'][i] = datetime.datetime.strptime(df_json['column_5'][i], '%Y-%m-%d %H:%M:%S')
df = pd.DataFrame(df_json)
fakey = Faker.ditto_dataframe(df, size=0)
assert fakey.columns.size==5
def test_filled_df_size_gt_0(self):
df_json = {
'column_1': ['Apple', 'ApPlE', 'banana', 'BANANA', 'Banana', 'Orange', 'Apple', 'APPLE', 'Cherry', 'Cherry'],
'column_2': [1, 2, 3, -1, -2, -3, 4, 6, 1, -1],
'column_3': [True, True, True, False, True, False, False, False, False, False],
'column_4': [1.0, 2.0, 3.0, -3.14, -3.14, -42.69, -69.42, -69.42, -100.1, 99],
'column_5': ['2017-03-25 15:16:45', '2017-03-25 15:16:45', '2017-03-19 15:16:45', '2017-03-22 15:16:45',
'2017-03-22 15:16:45', '2017-03-19 15:16:45', '2017-03-30 15:16:45', '2017-03-22 15:16:45',
'2017-03-30 15:16:45', '2017-03-25 15:16:45']
}
for i, _ in enumerate(df_json['column_5']):
df_json['column_5'][i] = datetime.datetime.strptime(df_json['column_5'][i], '%Y-%m-%d %H:%M:%S')
df = pd.DataFrame(df_json)
fakey = Faker.ditto_dataframe(df, size=42)
assert fakey.columns.size==5
class TestDittoDataFrameColumnNames:
def test_empty_df_size_eq_0(self):
df_json = {}
df = pd.DataFrame(df_json)
fakey = Faker.ditto_dataframe(df, size=0)
assert sorted(fakey)==sorted(df_json.keys())
def test_empty_df_size_gt_0(self):
df_json = {}
df = pd.DataFrame(df_json)
fakey = Faker.ditto_dataframe(df, size=42)
assert sorted(fakey)==sorted(df_json.keys())
def test_filled_df_size_eq_0(self):
df_json = {
'column_9': ['Apple', 'ApPlE', 'banana', 'BANANA', 'Banana', 'Orange', 'Apple', 'APPLE', 'Cherry', 'Cherry'],
'column_2': [1, 2, 3, -1, -2, -3, 4, 6, 1, -1],
'column_3': [True, True, True, False, True, False, False, False, False, False],
'column_4': [1.0, 2.0, 3.0, -3.14, -3.14, -42.69, -69.42, -69.42, -100.1, 99],
'column_5': ['2017-03-25 15:16:45', '2017-03-25 15:16:45', '2017-03-19 15:16:45', '2017-03-22 15:16:45',
'2017-03-22 15:16:45', '2017-03-19 15:16:45', '2017-03-30 15:16:45', '2017-03-22 15:16:45',
'2017-03-30 15:16:45', '2017-03-25 15:16:45']
}
for i, _ in enumerate(df_json['column_5']):
df_json['column_5'][i] = datetime.datetime.strptime(df_json['column_5'][i], '%Y-%m-%d %H:%M:%S')
df = pd.DataFrame(df_json)
fakey = Faker.ditto_dataframe(df, size=0)
assert sorted(fakey)==sorted(df_json.keys())
def test_filled_df_size_gt_0(self):
df_json = {
'column_9': ['Apple', 'ApPlE', 'banana', 'BANANA', 'Banana', 'Orange', 'Apple', 'APPLE', 'Cherry', 'Cherry'],
'column_2': [1, 2, 3, -1, -2, -3, 4, 6, 1, -1],
'column_3': [True, True, True, False, True, False, False, False, False, False],
'column_4': [1.0, 2.0, 3.0, -3.14, -3.14, -42.69, -69.42, -69.42, -100.1, 99],
'column_5': ['2017-03-25 15:16:45', '2017-03-25 15:16:45', '2017-03-19 15:16:45', '2017-03-22 15:16:45',
'2017-03-22 15:16:45', '2017-03-19 15:16:45', '2017-03-30 15:16:45', '2017-03-22 15:16:45',
'2017-03-30 15:16:45', '2017-03-25 15:16:45']
}
for i, _ in enumerate(df_json['column_5']):
df_json['column_5'][i] = datetime.datetime.strptime(df_json['column_5'][i], '%Y-%m-%d %H:%M:%S')
df = pd.DataFrame(df_json)
fakey = Faker.ditto_dataframe(df, size=42)
assert sorted(fakey)==sorted(df_json.keys())
| 45.041916
| 121
| 0.538421
| 1,228
| 7,522
| 3.15798
| 0.058632
| 0.092831
| 0.092831
| 0.139247
| 0.953069
| 0.952811
| 0.952811
| 0.952553
| 0.952553
| 0.952553
| 0
| 0.209519
| 0.25698
| 7,522
| 167
| 122
| 45.041916
| 0.484344
| 0
| 0
| 0.88189
| 0
| 0
| 0.2608
| 0
| 0
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| 0.094488
| 1
| 0.094488
| false
| 0
| 0.031496
| 0
| 0.149606
| 0
| 0
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| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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|
0
| 9
|
d6a0c181408500518107552ff4a883ebccddb4a7
| 43,664
|
py
|
Python
|
bella/models/tdparse.py
|
unititled99/Bella
|
6ec5ec84ef1cf89a5e99c6a5a3ccc7972d77e023
|
[
"MIT"
] | null | null | null |
bella/models/tdparse.py
|
unititled99/Bella
|
6ec5ec84ef1cf89a5e99c6a5a3ccc7972d77e023
|
[
"MIT"
] | 10
|
2020-01-28T22:16:20.000Z
|
2022-02-09T23:32:01.000Z
|
bella/models/tdparse.py
|
unititled99/Bella
|
6ec5ec84ef1cf89a5e99c6a5a3ccc7972d77e023
|
[
"MIT"
] | 1
|
2018-05-28T13:21:53.000Z
|
2018-05-28T13:21:53.000Z
|
'''
Contains classes of models that can be found in `Wang et al. paper \
<https://aclanthology.coli.uni-saarland.de/papers/E17-1046/e17-1046>`_.
Classes:
1. TDParseMinus
2. TDParse
3. TDParsePlus
'''
from sklearn.pipeline import FeatureUnion
from sklearn.pipeline import Pipeline
from sklearn.svm import LinearSVC
from sklearn.preprocessing import MinMaxScaler
from bella.models.target import TargetInd
from bella.tokenisers import ark_twokenize
from bella.neural_pooling import matrix_max, matrix_min, matrix_avg,\
matrix_median, matrix_prod, matrix_std
from bella.scikit_features.context import Context
from bella.scikit_features import syntactic_context
from bella.scikit_features.tokeniser import ContextTokeniser
from bella.scikit_features.word_vector import ContextWordVectors
from bella.scikit_features.lexicon_filter import LexiconFilter
from bella.scikit_features.neural_pooling import NeuralPooling
from bella.scikit_features.join_context_vectors import JoinContextVectors
class TDParseMinus(TargetInd):
def __init__(self, child_relations=False):
super().__init__()
self.child_relations = child_relations
self.pipeline = Pipeline([
('dependency_context', syntactic_context.SyntacticContext()),
('contexts', syntactic_context.Context('full')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
])),
('scale', MinMaxScaler()),
('svm', LinearSVC(C=0.01))
])
if child_relations:
self.pipeline = Pipeline([
('dependency_context', syntactic_context.DependencyChildContext()),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
])),
('scale', MinMaxScaler()),
('svm', LinearSVC(C=0.01))
])
@staticmethod
def _get_dependency_context():
'''
Method to be overidden by subclasses as each pipeline will be different
and will have a different parameter name for where the dependency parser
related process.
Dependency related process can be either of the following classes:
1. syntactic_context.DependencyChildContext
2. syntactic_context.SyntacticContext
:returns: A String of the parameter name where the related dependency \
classes are set in the pipeline.
:rtype: String
'''
return 'dependency_context'
def get_params(self, word_vector, parser, tokeniser=None, token_lower=None,
parser_lower=None, C=None, random_state=None, scale=True,
rel_depth=None):
'''
Method extended to include parser, parser_lower and rel_depth
parameters.
'''
params_dict = super().get_params(word_vector, tokeniser=tokeniser,
lower=token_lower, C=C,
random_state=random_state, scale=scale)
if self.child_relations:
if rel_depth is not None:
if not isinstance(rel_depth, tuple):
raise TypeError('rel_depth has to be a tuple not {}'\
.format(type(rel_depth)))
rel_depth_name = [self._get_dependency_context() +
'__rel_depth']
params_dict = self._add_to_params_dict(params_dict,
rel_depth_name,
rel_depth)
else:
if rel_depth is not None:
error_msg = '''rel_depth has been set but will not be used as
you are using the Syntactic Context (full
dependency tree) if you wish to use the dependency
child context in the constructor of this class
set child_relations=True'''
ValueError(error_msg)
if parser_lower is not None:
parser_lower_name = [self._get_dependency_context() + '__lower']
params_dict = self._add_to_params_dict(params_dict,
parser_lower_name,
parser_lower)
parser_name = [self._get_dependency_context() + '__parser']
params_dict = self._add_to_params_dict(params_dict, parser_name, parser)
return params_dict
def get_cv_params(self, word_vectors, parsers, tokenisers=None,
token_lowers=None, C=None, scale=None, random_state=None,
parser_lowers=None, rel_depths=None):
'''
Method extended to include parser, parser_lower and rel_depth
parameters.
'''
params_list = super().get_cv_params(word_vectors, tokenisers=tokenisers,
lowers=token_lowers, C=C, scale=scale,
random_state=random_state)
if self.child_relations:
if rel_depths is not None:
if not isinstance(rel_depths[0], tuple):
raise TypeError('rel_depths has to be a list of tuples not {}'\
.format(type(rel_depths[0])))
rel_depth_name = self._get_dependency_context() + '__rel_depth'
params_list = self._add_to_all_params(params_list,
rel_depth_name, rel_depths)
else:
if rel_depths is not None:
error_msg = '''rel_depths has been set but will not be used as
you are using the Syntactic Context (full
dependency tree) if you wish to use the dependency
child context in the constructor of this class
set child_relations=True'''
ValueError(error_msg)
if parser_lowers is not None:
parser_lower_name = self._get_dependency_context() + '__lower'
params_list = self._add_to_all_params(params_list, parser_lower_name,
parser_lowers)
parser_name = self._get_dependency_context() + '__parser'
params_list = self._add_to_all_params(params_list, parser_name, parsers)
return params_list
def __repr__(self):
return 'TDParse Minus'
class TDParse(TDParseMinus):
def __init__(self, child_relations=False):
super().__init__(child_relations)
self.pipeline = Pipeline([
('union', FeatureUnion([
('dependency', Pipeline([
('context', syntactic_context.SyntacticContext()),
('contexts', syntactic_context.Context('full')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('left', Pipeline([
('contexts', Context('left')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('right', Pipeline([
('contexts', Context('right')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('target', Pipeline([
('contexts', Context('target')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
]))
])),
('scale', MinMaxScaler()),
('svm', LinearSVC(C=0.01))
])
if child_relations:
self.pipeline = Pipeline([
('union', FeatureUnion([
('dependency', Pipeline([
('context', syntactic_context.DependencyChildContext()),
('contexts', syntactic_context.Context('full')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('left', Pipeline([
('contexts', Context('left')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('right', Pipeline([
('contexts', Context('right')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('target', Pipeline([
('contexts', Context('target')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
]))
])),
('scale', MinMaxScaler()),
('svm', LinearSVC(C=0.01))
])
@staticmethod
def _get_word_vector_names():
'''
Overideen
:returns: A list of of parameter names where the word vectors are set in \
the pipeline.
:rtype: list
'''
return ['union__dependency__word_vectors__vectors',
'union__left__word_vectors__vectors',
'union__right__word_vectors__vectors',
'union__target__word_vectors__vectors']
@staticmethod
def _get_tokeniser_names():
'''
Overideen
:returns: A list of of parameter names where the tokenisers are set in \
the pipeline.
:rtype: list
'''
return ['union__dependency__tokens',
'union__left__tokens',
'union__right__tokens',
'union__target__tokens']
@staticmethod
def _get_dependency_context():
'''
Overideen
Method to be overidden by subclasses as each pipeline will be different
and will have a different parameter name for where the dependency parser
related process.
Dependency related process can be either of the following classes:
1. syntactic_context.DependencyChildContext
2. syntactic_context.SyntacticContext
:returns: A String of the parameter name where the related dependency \
classes are set in the pipeline.
:rtype: String
'''
return 'union__dependency__context'
def __repr__(self):
return 'TDParse'
class TDParsePlus(TDParse):
def __init__(self, child_relations=False):
super().__init__(child_relations)
self.pipeline = Pipeline([
('union', FeatureUnion([
('dependency', Pipeline([
('context', syntactic_context.SyntacticContext()),
('contexts', syntactic_context.Context('full')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('left', Pipeline([
('contexts', Context('left')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('right', Pipeline([
('contexts', Context('right')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('left_s', Pipeline([
('contexts', Context('left')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('filter', LexiconFilter()),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('right_s', Pipeline([
('contexts', Context('right')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('filter', LexiconFilter()),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('target', Pipeline([
('contexts', Context('target')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
]))
])),
('scale', MinMaxScaler()),
('svm', LinearSVC(C=0.01))
])
if child_relations:
self.pipeline = Pipeline([
('union', FeatureUnion([
('dependency', Pipeline([
('context', syntactic_context.DependencyChildContext()),
('contexts', syntactic_context.Context('full')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('left', Pipeline([
('contexts', Context('left')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('right', Pipeline([
('contexts', Context('right')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('left_s', Pipeline([
('contexts', Context('left')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('filter', LexiconFilter()),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('right_s', Pipeline([
('contexts', Context('right')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('filter', LexiconFilter()),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
])),
('target', Pipeline([
('contexts', Context('target')),
('tokens', ContextTokeniser(ark_twokenize, True)),
('word_vectors', ContextWordVectors()),
('pool_funcs', FeatureUnion([
('max_pipe', Pipeline([
('max', NeuralPooling(matrix_max)),
('join', JoinContextVectors(matrix_median))
])),
('min_pipe', Pipeline([
('min', NeuralPooling(matrix_min)),
('join', JoinContextVectors(matrix_median))
])),
('avg_pipe', Pipeline([
('avg', NeuralPooling(matrix_avg)),
('join', JoinContextVectors(matrix_median))
])),
('prod_pipe', Pipeline([
('min', NeuralPooling(matrix_prod)),
('join', JoinContextVectors(matrix_median))
])),
('std_pipe', Pipeline([
('min', NeuralPooling(matrix_std)),
('join', JoinContextVectors(matrix_median))
]))
]))
]))
])),
('scale', MinMaxScaler()),
('svm', LinearSVC(C=0.01))
])
@staticmethod
def _get_word_vector_names():
'''
Overideen
:returns: A list of of parameter names where the word vectors are set in \
the pipeline.
:rtype: list
'''
return ['union__dependency__word_vectors__vectors',
'union__left__word_vectors__vectors',
'union__right__word_vectors__vectors',
'union__target__word_vectors__vectors',
'union__right_s__word_vectors__vectors',
'union__left_s__word_vectors__vectors']
@staticmethod
def _get_tokeniser_names():
'''
Overideen
:returns: A list of of parameter names where the tokenisers are set in \
the pipeline.
:rtype: list
'''
return ['union__dependency__tokens',
'union__left__tokens',
'union__right__tokens',
'union__target__tokens',
'union__right_s__tokens',
'union__left_s__tokens']
@staticmethod
def _get_word_senti_names():
'''
:returns: A list of of parameter names where the sentiment lexicons are \
set in the pipeline.
:rtype: list
'''
return ['union__left_s__filter__lexicon',
'union__right_s__filter__lexicon']
def get_params(self, word_vector, parser, senti_lexicon, tokeniser=None,
token_lower=None, parser_lower=None, C=None,
random_state=None, scale=True, rel_depth=None):
'''
Method extended to include senti_lexicon
'''
params_dict = super().get_params(word_vector, parser=parser,
tokeniser=tokeniser, C=C, scale=scale,
token_lower=token_lower, rel_depth=rel_depth,
parser_lower=parser_lower,
random_state=random_state)
params_dict = self._add_to_params_dict(params_dict,
self._get_word_senti_names(),
senti_lexicon)
return params_dict
def get_cv_params(self, word_vectors, parsers, senti_lexicons, tokenisers=None,
token_lowers=None, C=None, scale=None, random_state=None,
parser_lowers=None, rel_depths=None):
'''
Method extended to include senti_lexicon
'''
params_list = super().get_cv_params(word_vectors, parsers=parsers,
tokenisers=tokenisers, C=C, scale=scale,
token_lowers=token_lowers,
rel_depths=rel_depths,
parser_lowers=parser_lowers,
random_state=random_state)
params_list = self._add_to_params(params_list, senti_lexicons,
self._get_word_senti_names())
return params_list
def __repr__(self):
return 'TDParse Plus'
| 48.569522
| 86
| 0.422339
| 2,829
| 43,664
| 6.217745
| 0.062213
| 0.075725
| 0.175099
| 0.212621
| 0.902615
| 0.884878
| 0.877942
| 0.86805
| 0.851165
| 0.836498
| 0
| 0.001689
| 0.471235
| 43,664
| 898
| 87
| 48.623608
| 0.760178
| 0.043468
| 0
| 0.884518
| 0
| 0
| 0.105375
| 0.014171
| 0
| 0
| 0
| 0
| 0
| 1
| 0.021574
| false
| 0
| 0.017767
| 0.003807
| 0.060914
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
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| null | 0
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| 0
| 0
|
0
| 8
|
d6b319a768945fd062f9ea17456ff5cda5d0c895
| 59
|
py
|
Python
|
src/write/environment/scale/scale_main.py
|
cqpancoast/solaria
|
c2f60e1102e9ac1ea5350302653ce2b92e6e25c0
|
[
"MIT"
] | null | null | null |
src/write/environment/scale/scale_main.py
|
cqpancoast/solaria
|
c2f60e1102e9ac1ea5350302653ce2b92e6e25c0
|
[
"MIT"
] | null | null | null |
src/write/environment/scale/scale_main.py
|
cqpancoast/solaria
|
c2f60e1102e9ac1ea5350302653ce2b92e6e25c0
|
[
"MIT"
] | null | null | null |
import sys
# Entry point for SCALE.
def main():
pass
| 8.428571
| 24
| 0.644068
| 9
| 59
| 4.222222
| 1
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| 0.271186
| 59
| 6
| 25
| 9.833333
| 0.883721
| 0.372881
| 0
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| 0.333333
| true
| 0.333333
| 0.333333
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| null | 0
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|
0
| 7
|
d6cfb209ced264e4dcb227522f573b6fdef18895
| 13,020
|
py
|
Python
|
test/test_file_operate.py
|
pencc/bfs
|
02b6fb009cf643e78e47f2cb3376ecb2b87dfc49
|
[
"BSD-3-Clause"
] | 3,106
|
2016-08-30T17:15:40.000Z
|
2022-03-29T12:15:26.000Z
|
test/test_file_operate.py
|
pencc/bfs
|
02b6fb009cf643e78e47f2cb3376ecb2b87dfc49
|
[
"BSD-3-Clause"
] | 265
|
2016-08-24T08:42:42.000Z
|
2020-12-21T10:01:14.000Z
|
test/test_file_operate.py
|
pencc/bfs
|
02b6fb009cf643e78e47f2cb3376ecb2b87dfc49
|
[
"BSD-3-Clause"
] | 651
|
2016-08-31T09:01:09.000Z
|
2022-02-28T06:18:00.000Z
|
'''
Copyright (c) 2016, Baidu.com, Inc. All Rights Reserved
Use of this source code is governed by a BSD-style license that can be
found in the LICENSE file.
'''
import subprocess
import time
import common
import nose.tools
from conf import const
def setUp():
common.bfs_clear()
print "clear data and status is ok"
common.bfs_deploy()
print "deploy nameserver, chunkserver and status is ok"
common.bfs_start()
print "start nameserver, chunkserver and status is ok"
def tearDown():
ret = common.check_core()
nose.tools.assert_equal(ret, 0)
common.bfs_stop_all()
print "stop nameserver, chunkserver and status is ok"
'''
test touch new file method
'''
def test_touch_new_file_1():
cmd = "%s/bfs_client touchz /new_file_1" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
'''
test touch new file method
'''
def test_touch_new_file_2():
cmd = "%s/bfs_client touchz /new_dir/new_file_2" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
'''
test file exist method
'''
def test_touch_file_exist():
cmd = "%s/bfs_client touchz /new_file_3" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client touchz /new_file_3" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_not_equal(ret, 0)
ret1 = common.check_process()
nose.tools.assert_equal(ret1, 0)
'''
test list file method
'''
def test_list_file_exist():
cmd = "%s/bfs_client ls /new_file_1" % const.bfs_client_dir
(ret1, out1, err1) = common.runcmd(cmd)
nose.tools.assert_equal(ret1, 0)
nose.tools.assert_equal(out1[0:14], "Found 1 items\n")
cmd = "%s/bfs_client ls /new_dir/new_file_2" % const.bfs_client_dir
(ret2, out2, err2) = common.runcmd(cmd)
nose.tools.assert_equal(ret2, 0)
nose.tools.assert_equal(out2[0:14], "Found 1 items\n")
cmd = "%s/bfs_client ls /new_file_3" % const.bfs_client_dir
(ret3, out3, err3) = common.runcmd(cmd)
nose.tools.assert_equal(ret3, 0)
nose.tools.assert_equal(out3[0:14], "Found 1 items\n")
'''
test list file method
'''
def test_list_file_not_exist():
cmd = "%s/bfs_client ls /new_file_not_exist" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_not_equal(ret, 0)
ret1 = common.check_process()
nose.tools.assert_equal(ret1, 0)
'''
test put file method
'''
def test_put_file_dest_not_exist():
cmd = "%s/bfs_client put %s/data/urllist /put_file_1" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
'''
test put file method
'''
def test_put_file_destpath_is_dir():
cmd = "%s/bfs_client mkdir /test_put_file" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client put %s/data/urllist /test_put_file" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
cmd = "%s/bfs_client ls /test_put_file/urllist" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
'''
test put file method
'''
def test_put_empty_file():
cmd = "%s/bfs_client put %s/data/empty_file /empty_file" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
ret1 = common.check_process()
nose.tools.assert_equal(ret1, 0)
'''
test put file method
'''
def test_put_file_dest_exist():
cmd = "%s/bfs_client put %s/data/file_not_exist /put_file_2" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_not_equal(ret, 0)
ret1 = common.check_process()
nose.tools.assert_equal(ret1, 0)
'''
test put file method
'''
def test_put_file_localfile_not_exist():
cmd = "%s/bfs_client put %s/data/file_not_exist /file_not_exist" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_not_equal(ret, 0)
ret1 = common.check_process()
nose.tools.assert_equal(ret1, 0)
'''
test cat file method
'''
def test_cat_file_exist():
cmd = "cat %s/data/urllist" % const.work_dir
(ret1, out1, err1) = common.runcmd(cmd)
assert(ret1 == 0)
cmd = "%s/bfs_client cat /put_file_1" % const.bfs_client_dir
(ret2, out2, err2) = common.runcmd(cmd)
nose.tools.assert_equal(ret2, 0)
nose.tools.assert_equal(out1, out2)
'''
test cat file method
'''
def test_cat_file_not_exist():
cmd = "%s/bfs_client cat /file_not_exist" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_not_equal(ret, 0)
ret1 = common.check_process()
nose.tools.assert_equal(ret1, 0)
'''
test cat file method
'''
def test_cat_empty_file():
cmd = "%s/bfs_client cat /empty_file" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
ret1 = common.check_process()
nose.tools.assert_equal(ret1, 0)
'''
test get file method
'''
def test_get_file_local_not_exist():
cmd = "rm -rf %s/data/put_file_1 && %s/bfs_client get /put_file_1 %s/data/put_file_1" % (const.work_dir, const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
'''
test get file method
'''
def test_get_file_localfile_exist():
cmd = "%s/bfs_client get /put_file_1 %s/data/put_file_1" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_not_equal(ret, 0)
ret1 = common.check_process()
nose.tools.assert_equal(ret1, 0)
'''
test get file method
'''
def test_get_file_bfsfile_not_exist():
cmd = "%s/bfs_client get /not_exist_file %s/data/not_exist_file" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_not_equal(ret, 0)
ret1 = common.check_process()
nose.tools.assert_equal(ret1, 0)
'''
test move(rename) file method
'''
def test_move_file_diffdir_samename():
cmd = "%s/bfs_client put %s/data/README.md /README.md" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client mkdir /test_move_file_1" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client mv /README.md /test_move_file_1/README.md" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
'''
test move(rename) file method
'''
def test_move_file_diffdir_diffname():
cmd = "%s/bfs_client mkdir /test_move_file_2" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client mkdir /test_move_file_3" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client put %s/data/README.md /test_move_file_2/README.md" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client mv /test_move_file_2/README.md /test_move_file_3/README.md.new" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
'''
test move(rename) file method
'''
def test_move_file_samedir_diffname():
cmd = "%s/bfs_client put %s/data/README.md /README.md" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client mv /README.md /README.md.new" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
'''
test move(rename) file method
'''
def test_move_file_samedir_samename():
cmd = "%s/bfs_client mkdir /test_move_file_4" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
cmd = "%s/bfs_client put %s/data/urllist /test_move_file_4/urllist" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client mv /test_move_file_4/urllist /test_move_file_4/urllist" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
cmd = "cat %s/data/urllist" % const.work_dir
(ret1, out1, err1) = common.runcmd(cmd)
assert(ret1 == 0)
cmd = "%s/bfs_client cat /test_move_file_4/urllist" % const.bfs_client_dir
(ret2, out2, err2) = common.runcmd(cmd)
nose.tools.assert_equal(ret2, 0)
nose.tools.assert_equal(out1, out2)
'''
test move(rename) file method
'''
def test_move_file_srcpath_not_exist():
cmd = "%s/bfs_client mv /file_not_exist /file_not_exist.new" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_not_equal(ret, 0)
ret1 = common.check_process()
nose.tools.assert_equal(ret1, 0)
'''
test move(rename) file method
'''
def test_move_file_destfile_is_exist():
cmd = "%s/bfs_client put %s/data/README.md /README.md" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client touchz /README.md.1" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client mv /README.md /README.md.1" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_not_equal(ret, 0)
ret1 = common.check_process()
nose.tools.assert_equal(ret1, 0)
'''
test move(rename) file method
'''
def test_move_file_destpath_is_dir():
cmd = "%s/bfs_client put %s/data/README.md /test_move_file" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client mkdir /test_move_dir" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client mv /test_move_file /test_move_dir" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
cmd = "%s/bfs_client ls /test_move_dir/test_move_file" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
'''
test remove file method
'''
def test_remove_file_exist():
cmd = "%s/bfs_client mkdir /test_remove_file/test_dir" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client put %s/data/binfile /test_remove_file/test_dir/binfile" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client rm /test_remove_file/test_dir/binfile" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
'''
test remove file method
'''
def test_remove_file_not_exist():
cmd = "%s/bfs_client rm /test_remove_file/test_dir/file_not_exist" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_not_equal(ret, 0)
ret1 = common.check_process()
nose.tools.assert_equal(ret1, 0)
'''
test du file method
'''
def test_du_file_exist():
cmd = "%s/bfs_client mkdir /test_du_file_1" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client put %s/data/urllist /test_du_file_1/urllist" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client put %s/data/binfile /test_du_file_1/binfile" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client du /test_du_file_1/urllist" % const.bfs_client_dir
(ret1, out1, err1) = common.runcmd(cmd)
nose.tools.assert_equal(ret1, 0)
nose.tools.assert_equal(out1, "/test_du_file_1/urllist\t40\nTotal:\t40\n")
cmd = "%s/bfs_client du /test_du_file_2/binfile" % const.bfs_client_dir
(ret2, out2, err2) = common.runcmd(cmd)
nose.tools.assert_equal(ret2, 0)
nose.tools.assert_equal(out2, "/test_du_file_1/binfile\t24\nTotal:\t24\n")
def test_du_empty_file():
cmd = "%s/bfs_client mkdir /test_du_file_2" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client put %s/data/empty_file /test_du_file_2/empty_file" % (const.bfs_client_dir, const.work_dir)
(ret, out, err) = common.runcmd(cmd)
assert(ret == 0)
cmd = "%s/bfs_client du /test_du_file_2/empty_file" % const.bfs_client_dir
(ret, out, err) = common.runcmd(cmd)
nose.tools.assert_equal(ret, 0)
nose.tools.assert_equal(out, "/test_du_file_2/empty_file\t0\nTotal:\t0\n")
| 31.223022
| 146
| 0.667972
| 2,069
| 13,020
| 3.946351
| 0.059449
| 0.119045
| 0.102878
| 0.112431
| 0.933007
| 0.910104
| 0.865401
| 0.84703
| 0.806124
| 0.776852
| 0
| 0.019464
| 0.191091
| 13,020
| 416
| 147
| 31.298077
| 0.755792
| 0
| 0
| 0.588477
| 0
| 0.004115
| 0.238087
| 0.061845
| 0
| 0
| 0
| 0
| 0.312757
| 0
| null | null | 0
| 0.020576
| null | null | 0.016461
| 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
|
d6e7c913effeb582aecaf2a9b950d0d760416476
| 154
|
py
|
Python
|
DeepSaki/initializer/__init__.py
|
sascha-kirch/DeepSaki
|
cfe6bd6537a2b0793d4db4041f2efb37d480cb4c
|
[
"MIT"
] | null | null | null |
DeepSaki/initializer/__init__.py
|
sascha-kirch/DeepSaki
|
cfe6bd6537a2b0793d4db4041f2efb37d480cb4c
|
[
"MIT"
] | null | null | null |
DeepSaki/initializer/__init__.py
|
sascha-kirch/DeepSaki
|
cfe6bd6537a2b0793d4db4041f2efb37d480cb4c
|
[
"MIT"
] | null | null | null |
from DeepSaki.initializer.he_alpha import HeAlphaUniform
from DeepSaki.initializer.he_alpha import HeAlphaNormal
from DeepSaki.initializer import helper
| 30.8
| 56
| 0.883117
| 19
| 154
| 7.052632
| 0.473684
| 0.268657
| 0.514925
| 0.373134
| 0.537313
| 0.537313
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084416
| 154
| 4
| 57
| 38.5
| 0.950355
| 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
|
d6f4cb38ad59528d007e75f9ba4197e842ae917c
| 5,935
|
py
|
Python
|
tests/test_qrdqn_nstep_td_error.py
|
opendilab/DI-hpc
|
8f001382cd1c0119013e1d0d0e98ff41c751d8a2
|
[
"Apache-2.0"
] | 64
|
2021-07-08T02:18:08.000Z
|
2022-02-28T09:52:57.000Z
|
tests/test_qrdqn_nstep_td_error.py
|
opendilab/DI-hpc
|
8f001382cd1c0119013e1d0d0e98ff41c751d8a2
|
[
"Apache-2.0"
] | null | null | null |
tests/test_qrdqn_nstep_td_error.py
|
opendilab/DI-hpc
|
8f001382cd1c0119013e1d0d0e98ff41c751d8a2
|
[
"Apache-2.0"
] | 3
|
2021-07-14T08:58:45.000Z
|
2022-03-30T12:36:46.000Z
|
import time
import torch
from hpc_rll.origin.td import qrdqn_nstep_td_error, qrdqn_nstep_td_data
from hpc_rll.rl_utils.td import QRDQNNStepTDError
from testbase import mean_relative_error, times
assert torch.cuda.is_available()
use_cuda = True
tau = 39
T = 10
B = 89
N = 67
gamma = 0.95
def qrdqn_val():
ori_q = torch.randn(B, N, tau)
ori_next_n_q = torch.randn(B, N, tau)
ori_action = torch.randint(0, N, size=(B, ))
ori_next_n_action = torch.randint(0, N, size=(B, ))
ori_reward = torch.randn(T, B)
ori_done = torch.randn(B)
ori_weight = torch.randn(B)
ori_value_gamma = torch.randn(B)
hpc_q = ori_q.clone().detach()
hpc_next_n_q = ori_next_n_q.clone().detach()
hpc_action = ori_action.clone().detach()
hpc_next_n_action = ori_next_n_action.clone().detach()
hpc_reward = ori_reward.clone().detach()
hpc_done = ori_done.clone().detach()
hpc_weight = ori_weight.clone().detach()
hpc_value_gamma = ori_value_gamma.clone().detach()
hpc_qrdqn = QRDQNNStepTDError(tau, T, B, N)
if use_cuda:
ori_q = ori_q.cuda()
ori_next_n_q = ori_next_n_q.cuda()
ori_action = ori_action.cuda()
ori_next_n_action = ori_next_n_action.cuda()
ori_reward = ori_reward.cuda()
ori_done = ori_done.cuda()
ori_weight = ori_weight.cuda()
ori_value_gamma = ori_value_gamma.cuda()
hpc_q = hpc_q.cuda()
hpc_next_n_q = hpc_next_n_q.cuda()
hpc_action = hpc_action.cuda()
hpc_next_n_action = hpc_next_n_action.cuda()
hpc_reward = hpc_reward.cuda()
hpc_done = hpc_done.cuda()
hpc_weight = hpc_weight.cuda()
hpc_value_gamma = hpc_value_gamma.cuda()
hpc_qrdqn = hpc_qrdqn.cuda()
ori_q.requires_grad_(True)
ori_loss, ori_ = qrdqn_nstep_td_error(qrdqn_nstep_td_data(ori_q, ori_next_n_q, ori_action, ori_next_n_action, ori_reward, ori_done, tau, ori_weight), gamma, T, ori_value_gamma)
ori_loss = ori_loss.mean()
ori_loss.backward()
if use_cuda:
torch.cuda.synchronize()
torch.cuda.cudart().cudaProfilerStart()
hpc_q.requires_grad_(True)
hpc_loss, hpc_ = hpc_qrdqn(hpc_q, hpc_next_n_q, hpc_action, hpc_next_n_action, hpc_reward, hpc_done, gamma, hpc_weight, hpc_value_gamma)
hpc_loss = hpc_loss.mean()
hpc_loss.backward()
if use_cuda:
torch.cuda.synchronize()
torch.cuda.cudart().cudaProfilerStop()
mre = mean_relative_error(torch.flatten(ori_loss).cpu().detach().numpy(), torch.flatten(hpc_loss).cpu().detach().numpy())
print("qrdqn fp mean_relative_error: " + str(mre))
mre = mean_relative_error(torch.flatten(ori_q.grad).cpu().detach().numpy(), torch.flatten(hpc_q.grad).cpu().detach().numpy())
print("qrdqn bp mean_relative_error: " + str(mre))
def qrdqn_perf():
ori_q = torch.randn(B, N, tau)
ori_next_n_q = torch.randn(B, N, tau)
ori_action = torch.randint(0, N, size=(B, ))
ori_next_n_action = torch.randint(0, N, size=(B, ))
ori_reward = torch.randn(T, B)
ori_done = torch.randn(B)
ori_weight = torch.randn(B)
ori_value_gamma = torch.randn(B)
hpc_q = ori_q.clone().detach()
hpc_next_n_q = ori_next_n_q.clone().detach()
hpc_action = ori_action.clone().detach()
hpc_next_n_action = ori_next_n_action.clone().detach()
hpc_reward = ori_reward.clone().detach()
hpc_done = ori_done.clone().detach()
hpc_weight = ori_weight.clone().detach()
hpc_value_gamma = ori_value_gamma.clone().detach()
hpc_qrdqn = QRDQNNStepTDError(tau, T, B, N)
if use_cuda:
ori_q = ori_q.cuda()
ori_next_n_q = ori_next_n_q.cuda()
ori_action = ori_action.cuda()
ori_next_n_action = ori_next_n_action.cuda()
ori_reward = ori_reward.cuda()
ori_done = ori_done.cuda()
ori_weight = ori_weight.cuda()
ori_value_gamma = ori_value_gamma.cuda()
hpc_q = hpc_q.cuda()
hpc_next_n_q = hpc_next_n_q.cuda()
hpc_action = hpc_action.cuda()
hpc_next_n_action = hpc_next_n_action.cuda()
hpc_reward = hpc_reward.cuda()
hpc_done = hpc_done.cuda()
hpc_weight = hpc_weight.cuda()
hpc_value_gamma = hpc_value_gamma.cuda()
hpc_qrdqn = hpc_qrdqn.cuda()
ori_q.requires_grad_(True)
for i in range(times):
t = time.time()
ori_loss, ori_ = qrdqn_nstep_td_error(qrdqn_nstep_td_data(ori_q, ori_next_n_q, ori_action, ori_next_n_action, ori_reward, ori_done, tau, ori_weight), gamma, T, ori_value_gamma)
ori_loss = ori_loss.mean()
ori_loss.backward()
if use_cuda:
torch.cuda.synchronize()
print('epoch: {}, original qrdqn cost time: {}'.format(i, time.time() - t))
#torch.cuda.cudart().cudaProfilerStart()
hpc_q.requires_grad_(True)
for i in range(times):
t = time.time()
hpc_loss, hpc_ = hpc_qrdqn(hpc_q, hpc_next_n_q, hpc_action, hpc_next_n_action, hpc_reward, hpc_done, gamma, hpc_weight, hpc_value_gamma)
hpc_loss = hpc_loss.mean()
hpc_loss.backward()
if use_cuda:
torch.cuda.synchronize()
print('epoch: {}, hpc qrdqn cost time: {}'.format(i, time.time() - t))
#torch.cuda.cudart().cudaProfilerStop()
mre = mean_relative_error(torch.flatten(ori_loss).cpu().detach().numpy(), torch.flatten(hpc_loss).cpu().detach().numpy())
print("qrdqn fp mean_relative_error: " + str(mre))
mre = mean_relative_error(torch.flatten(ori_q.grad).cpu().detach().numpy(), torch.flatten(hpc_q.grad).cpu().detach().numpy())
print("qrdqn bp mean_relative_error: " + str(mre))
if __name__ == '__main__':
print("target problem: tau = {}, T = {}, B = {}, N = {}, gamma = {}".format(tau, T, B, N, gamma))
print("================run qrdqn validation test================")
qrdqn_val()
print("================run qrdqn performance test================")
qrdqn_perf()
| 39.566667
| 184
| 0.661163
| 909
| 5,935
| 3.941694
| 0.093509
| 0.050237
| 0.044655
| 0.025119
| 0.909015
| 0.902875
| 0.902875
| 0.902875
| 0.893665
| 0.877756
| 0
| 0.003148
| 0.197136
| 5,935
| 149
| 185
| 39.832215
| 0.748793
| 0.012974
| 0
| 0.815385
| 0
| 0
| 0.064208
| 0
| 0
| 0
| 0
| 0
| 0.007692
| 1
| 0.015385
| false
| 0
| 0.038462
| 0
| 0.053846
| 0.069231
| 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
|
24117b4126d054063c6e2f0542cdc1bfc9441b3b
| 5,264
|
py
|
Python
|
notebooks/computer_science/Algorithms_and_data_structures_in_python/graphs/graph_search_algorithms.py
|
NathanielDake/nathanieldake.github.io
|
82b7013afa66328e06e51304b6af10e1ed648eb8
|
[
"MIT"
] | 3
|
2018-03-30T06:28:21.000Z
|
2018-04-25T15:43:24.000Z
|
notebooks/computer_science/Algorithms_and_data_structures_in_python/graphs/graph_search_algorithms.py
|
NathanielDake/nathanieldake.github.io
|
82b7013afa66328e06e51304b6af10e1ed648eb8
|
[
"MIT"
] | null | null | null |
notebooks/computer_science/Algorithms_and_data_structures_in_python/graphs/graph_search_algorithms.py
|
NathanielDake/nathanieldake.github.io
|
82b7013afa66328e06e51304b6af10e1ed648eb8
|
[
"MIT"
] | 3
|
2018-02-07T22:21:33.000Z
|
2018-05-04T20:16:43.000Z
|
from collections import defaultdict, deque
from queue import Queue
from functools import reduce
from operator import mul
explored = {} # Explored essentially tracks what nodes have been added to Queue
def bfs_v1a(g, s):
"""Outlined in Algorithms Illuminated (Tim Roughgarden)
- g: graph
- s: starting node
"""
explored = {key: False for key in g.nodes}
explored[s] = True
q = Queue()
q.put(s)
while not q.empty():
v = q.get()
for w in g.edges[v].keys():
if not explored[w]:
explored[w] = True
q.put(w)
return explored
def bfs_v1b(g, s):
"""Outlined in Algorithms Illuminated (Tim Roughgarden)
- g: graph
- s: starting node
Several new lines added in order to track the shortest paths.
"""
explored = {key: False for key in g.nodes}
explored[s] = True
shortest_paths = defaultdict(list)
shortest_paths[s].append(s)
q = Queue()
q.put(s)
while not q.empty():
v = q.get()
for w in g.edges[v].keys():
if not explored[w]:
explored[w] = True
shortest_paths[w].extend(shortest_paths[v] + [w])
q.put(w)
return explored, shortest_paths
def bfs_v1c(g, s, end):
"""Outlined in Algorithms Illuminated (Tim Roughgarden)
- g: graph
- s: starting node
- w: end node
Several new lines added in order to track the shortest paths AND the currency value
"""
explored = {key: False for key in g.nodes}
explored[s] = True
shortest_paths = defaultdict(list)
shortest_paths[s].append(s)
q = Queue()
q.put(s)
while not q.empty():
v = q.get()
for w in g.edges[v].keys():
if not explored[w]:
explored[w] = True
shortest_paths[w].extend(shortest_paths[v] + [w])
q.put(w)
exchange_product = []
for i in range(len(shortest_paths[end]) - 1):
curnode, nextnode = shortest_paths[end][i], shortest_paths[end][i + 1]
exchange_product.append(g.edges[curnode][nextnode])
exchange_val = reduce(mul, exchange_product)
return shortest_paths[end], exchange_val
def bfs_v2a(g, s):
"""Outlined in Algorithm Design Manual (Steve Skiena)"""
state = {key: "undiscovered" for key in g.nodes}
state[s] = "discovered"
parents = {key: None for key in g.nodes}
q = Queue()
q.put(s)
while not q.empty():
v = q.get()
# Process this vertex as desired
for w in g.edges[v].keys():
# Process this edge as desired
if state[w] == "undiscovered":
state[w] = "discovered"
parents[w] = v
q.put(w)
state[v] = "processed"
return state, parents
def bfs_v2b(g, s, end):
"""Outlined in Algorithm Design Manual (Steve Skiena)"""
state = {key: "undiscovered" for key in g.nodes}
state[s] = "discovered"
parents = {key: None for key in g.nodes}
q = Queue()
q.put(s)
while not q.empty():
v = q.get()
# Process this vertex as desired
for w in g.edges[v].keys():
# Process this edge as desired
if state[w] == "undiscovered":
state[w] = "discovered"
parents[w] = v
q.put(w)
state[v] = "processed"
shortest_path = [end]
while True:
shortest_path.append(parents[end])
if parents[end] == s:
break
end = parents[end]
shortest_path.reverse()
return state, parents, shortest_path
def bfs_v2c(g, s, end):
"""Outlined in Algorithm Design Manual (Steve Skiena)"""
state = {key: "undiscovered" for key in g.nodes}
state[s] = "discovered"
parents = {key: None for key in g.nodes}
q = Queue()
q.put(s)
while not q.empty():
v = q.get()
# Process this vertex as desired
for w in g.edges[v].keys():
# Process this edge as desired
if state[w] == "undiscovered":
state[w] = "discovered"
parents[w] = v
q.put(w)
state[v] = "processed"
shortest_path = [end]
while True:
shortest_path.append(parents[end])
if parents[end] == s:
break
end = parents[end]
shortest_path.reverse()
exchange_product = []
for i in range(len(shortest_path) - 1):
curnode, nextnode = shortest_path[i], shortest_path[i + 1]
exchange_product.append(g.edges[curnode][nextnode])
exchange_val = reduce(mul, exchange_product)
return state, parents, shortest_path, exchange_val
def dfs_v1a(g, s, end):
"""Outlined in Algorithms Illuminated (Tim Roughgarden)
- g: graph
- s: starting node
"""
explored = {key: False for key in g.nodes}
explored[s] = True
stack = deque()
stack.append(s)
while len(stack) > 0:
# breakpoint()
v = stack.pop()
for w in g.edges[v].keys():
print(w)
if w == end:
return
if not explored[w]:
explored[w] = True
stack.append(w)
return explored
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ceece860a71563ac33803b93f8406f157a086b24
| 9,552
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py
|
Python
|
Controls/env/Lib/site-packages/PySide/examples/xmlpatterns/schema/schema_rc.py
|
LoicBoileau/Projet-S4---Robot-Delta
|
0de0768e2609c18fbf060eb6726150a99080db1c
|
[
"MIT"
] | 32
|
2015-11-06T02:59:41.000Z
|
2021-02-12T02:44:42.000Z
|
Controls/env/Lib/site-packages/PySide/examples/xmlpatterns/schema/schema_rc.py
|
LoicBoileau/Projet-S4---Robot-Delta
|
0de0768e2609c18fbf060eb6726150a99080db1c
|
[
"MIT"
] | 56
|
2020-01-15T15:44:40.000Z
|
2021-11-15T17:50:24.000Z
|
python/Lib/site-packages/PySide/examples/xmlpatterns/schema/schema_rc.py
|
jfveronelli/sqink
|
5e9e6bc6c5c6c00abbc07099bc1fa1ab6cf79577
|
[
"Unlicense"
] | 4
|
2016-02-01T09:15:05.000Z
|
2020-04-30T03:41:04.000Z
|
# -*- coding: utf-8 -*-
# Resource object code
#
# Created: st 14. 10 21:40:06 2015
# by: The Resource Compiler for PySide (Qt v4.8.7)
#
# WARNING! All changes made in this file will be lost!
from PySide import QtCore
qt_resource_data = b"\x00\x00\x03~<?xml version=\x221.0\x22?>\x0d\x0a<xsd:schema xmlns:xsd=\x22http://www.w3.org/2001/XMLSchema\x22>\x0d\x0a\x0d\x0a <xsd:element name=\x22order\x22>\x0d\x0a <xsd:complexType>\x0d\x0a <xsd:sequence>\x0d\x0a <xsd:element name=\x22customerId\x22 type=\x22xsd:positiveInteger\x22/>\x0d\x0a <xsd:element name=\x22article\x22 type=\x22articleType\x22 maxOccurs=\x22unbounded\x22/>\x0d\x0a <xsd:element name=\x22deliveryDate\x22 type=\x22xsd:date\x22/>\x0d\x0a <xsd:element name=\x22payed\x22 type=\x22xsd:boolean\x22/>\x0d\x0a </xsd:sequence>\x0d\x0a </xsd:complexType>\x0d\x0a </xsd:element>\x0d\x0a\x0d\x0a <xsd:complexType name=\x22articleType\x22>\x0d\x0a <xsd:sequence>\x0d\x0a <xsd:element name=\x22articleId\x22 type=\x22xsd:positiveInteger\x22/>\x0d\x0a <xsd:element name=\x22count\x22 type=\x22xsd:positiveInteger\x22/>\x0d\x0a <xsd:element name=\x22comment\x22 type=\x22xsd:string\x22 minOccurs=\x220\x22/>\x0d\x0a </xsd:sequence>\x0d\x0a </xsd:complexType>\x0d\x0a\x0d\x0a</xsd:schema>\x0d\x0a\x00\x00\x01(<contact>\x0d\x0a <givenName>John</givenName>\x0d\x0a <familyName>Doe</familyName>\x0d\x0a <title>Prof.</title>\x0d\x0a <workAddress>\x0d\x0a <street>Sandakerveien 116</street>\x0d\x0a <zipCode>N-0550</zipCode>\x0d\x0a <city>Oslo</city>\x0d\x0a <country>Norway</country>\x0d\x0a </workAddress>\x0d\x0a</contact>\x0d\x0a\x00\x00\x022<recipe>\x0d\x0a <title>Cheese on Toast</title>\x0d\x0a <ingredient name=\x22Bread\x22 quantity=\x222\x22 unit=\x22slices\x22/>\x0d\x0a <ingredient name=\x22Cheese\x22 quantity=\x222\x22 unit=\x22slices\x22/>\x0d\x0a <time quantity=\x223\x22 unit=\x22minutes\x22/>\x0d\x0a <method>\x0d\x0a <step>1. 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def qInitResources():
QtCore.qRegisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data)
def qCleanupResources():
QtCore.qUnregisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data)
qInitResources()
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0
| 8
|
cef57fa889b8d573bf55eb2f095a6d2651ca8fbb
| 11,667
|
py
|
Python
|
ensemble/migrations/0001_initial.py
|
evanlouie/activelearning
|
7ee6e9d2d795f85a441ad70e70ac0d8de9c25e31
|
[
"MIT"
] | null | null | null |
ensemble/migrations/0001_initial.py
|
evanlouie/activelearning
|
7ee6e9d2d795f85a441ad70e70ac0d8de9c25e31
|
[
"MIT"
] | null | null | null |
ensemble/migrations/0001_initial.py
|
evanlouie/activelearning
|
7ee6e9d2d795f85a441ad70e70ac0d8de9c25e31
|
[
"MIT"
] | 1
|
2019-01-03T18:03:18.000Z
|
2019-01-03T18:03:18.000Z
|
# Generated by Django 2.1.2 on 2018-12-18 20:20
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = []
operations = [
migrations.CreateModel(
name="AudioLabel",
fields=[
(
"id",
models.AutoField(
auto_created=True,
primary_key=True,
serialize=False,
verbose_name="ID",
),
),
("file", models.CharField(blank=True, max_length=255, null=True)),
(
"time",
models.IntegerField(
validators=[django.core.validators.MinValueValidator(0)],
verbose_name="Time (milliseconds)",
),
),
(
"duration",
models.IntegerField(
validators=[django.core.validators.MinValueValidator(0)]
),
),
],
options={"abstract": False},
),
migrations.CreateModel(
name="Classification",
fields=[
(
"id",
models.AutoField(
auto_created=True,
primary_key=True,
serialize=False,
verbose_name="ID",
),
),
("name", models.CharField(max_length=255, unique=True)),
],
),
migrations.CreateModel(
name="ImageLabel",
fields=[
(
"id",
models.AutoField(
auto_created=True,
primary_key=True,
serialize=False,
verbose_name="ID",
),
),
("file", models.CharField(blank=True, max_length=255, null=True)),
(
"x",
models.FloatField(
validators=[django.core.validators.MinValueValidator(0)]
),
),
(
"y",
models.FloatField(
validators=[django.core.validators.MinValueValidator(0)]
),
),
(
"width",
models.FloatField(
validators=[django.core.validators.MinValueValidator(0)]
),
),
(
"height",
models.FloatField(
validators=[django.core.validators.MinValueValidator(0)]
),
),
],
options={"abstract": False},
),
migrations.CreateModel(
name="MediaFile",
fields=[
(
"id",
models.AutoField(
auto_created=True,
primary_key=True,
serialize=False,
verbose_name="ID",
),
),
("name", models.CharField(max_length=255, unique=True)),
(
"url",
models.CharField(
blank=True, max_length=255, null=True, unique=True
),
),
("description", models.TextField(blank=True, null=True)),
],
),
migrations.CreateModel(
name="Model",
fields=[
(
"id",
models.AutoField(
auto_created=True,
primary_key=True,
serialize=False,
verbose_name="ID",
),
),
("name", models.CharField(max_length=255, unique=True)),
(
"classifications",
models.ManyToManyField(to="ensemble.Classification"),
),
],
),
migrations.CreateModel(
name="ModelVersion",
fields=[
(
"id",
models.AutoField(
auto_created=True,
primary_key=True,
serialize=False,
verbose_name="ID",
),
),
("version", models.CharField(max_length=255)),
("description", models.TextField(null=True)),
(
"model",
models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE, to="ensemble.Model"
),
),
],
),
migrations.CreateModel(
name="Subtitle",
fields=[
(
"id",
models.AutoField(
auto_created=True,
primary_key=True,
serialize=False,
verbose_name="ID",
),
),
("name", models.CharField(max_length=255, unique=True)),
("url", models.CharField(max_length=255, unique=True)),
(
"media_file",
models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE,
to="ensemble.MediaFile",
),
),
],
),
migrations.CreateModel(
name="AudioPrediction",
fields=[
(
"audiolabel_ptr",
models.OneToOneField(
auto_created=True,
on_delete=django.db.models.deletion.CASCADE,
parent_link=True,
primary_key=True,
serialize=False,
to="ensemble.AudioLabel",
),
),
(
"confidence",
models.FloatField(
validators=[
django.core.validators.MinValueValidator(0),
django.core.validators.MaxValueValidator(1),
]
),
),
(
"model_version",
models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE,
to="ensemble.ModelVersion",
),
),
],
options={"abstract": False},
bases=("ensemble.audiolabel", models.Model),
),
migrations.CreateModel(
name="ImagePrediction",
fields=[
(
"imagelabel_ptr",
models.OneToOneField(
auto_created=True,
on_delete=django.db.models.deletion.CASCADE,
parent_link=True,
primary_key=True,
serialize=False,
to="ensemble.ImageLabel",
),
),
(
"confidence",
models.FloatField(
validators=[
django.core.validators.MinValueValidator(0),
django.core.validators.MaxValueValidator(1),
]
),
),
(
"model_version",
models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE,
to="ensemble.ModelVersion",
),
),
],
options={"abstract": False},
bases=("ensemble.imagelabel", models.Model),
),
migrations.CreateModel(
name="VideoLabel",
fields=[
(
"imagelabel_ptr",
models.OneToOneField(
auto_created=True,
on_delete=django.db.models.deletion.CASCADE,
parent_link=True,
primary_key=True,
serialize=False,
to="ensemble.ImageLabel",
),
),
(
"time",
models.IntegerField(
validators=[django.core.validators.MinValueValidator(0)],
verbose_name="Time (milliseconds)",
),
),
],
options={"abstract": False},
bases=("ensemble.imagelabel",),
),
migrations.AddField(
model_name="imagelabel",
name="classification",
field=models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE,
to="ensemble.Classification",
),
),
migrations.AddField(
model_name="imagelabel",
name="media_file",
field=models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE, to="ensemble.MediaFile"
),
),
migrations.AddField(
model_name="audiolabel",
name="classification",
field=models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE,
to="ensemble.Classification",
),
),
migrations.AddField(
model_name="audiolabel",
name="media_file",
field=models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE, to="ensemble.MediaFile"
),
),
migrations.CreateModel(
name="VideoPrediction",
fields=[
(
"videolabel_ptr",
models.OneToOneField(
auto_created=True,
on_delete=django.db.models.deletion.CASCADE,
parent_link=True,
primary_key=True,
serialize=False,
to="ensemble.VideoLabel",
),
),
(
"confidence",
models.FloatField(
validators=[
django.core.validators.MinValueValidator(0),
django.core.validators.MaxValueValidator(1),
]
),
),
(
"model_version",
models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE,
to="ensemble.ModelVersion",
),
),
],
options={"abstract": False},
bases=("ensemble.videolabel", models.Model),
),
]
| 34.014577
| 88
| 0.377732
| 684
| 11,667
| 6.339181
| 0.130117
| 0.027675
| 0.064576
| 0.071033
| 0.835563
| 0.812731
| 0.781135
| 0.776061
| 0.723939
| 0.717251
| 0
| 0.010044
| 0.530642
| 11,667
| 342
| 89
| 34.114035
| 0.781775
| 0.003857
| 0
| 0.773134
| 1
| 0
| 0.079174
| 0.01136
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.008955
| 0
| 0.020896
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
0631c105a0c4cf4cb11dd9e5abae29ab3e5c0e35
| 221
|
py
|
Python
|
Python/Tests/TestData/Grammar/Delimiters.py
|
nanshuiyu/pytools
|
9f9271fe8cf564b4f94e9456d400f4306ea77c23
|
[
"Apache-2.0"
] | null | null | null |
Python/Tests/TestData/Grammar/Delimiters.py
|
nanshuiyu/pytools
|
9f9271fe8cf564b4f94e9456d400f4306ea77c23
|
[
"Apache-2.0"
] | null | null | null |
Python/Tests/TestData/Grammar/Delimiters.py
|
nanshuiyu/pytools
|
9f9271fe8cf564b4f94e9456d400f4306ea77c23
|
[
"Apache-2.0"
] | null | null | null |
1(2)
1[2]
{1:2}
1, 2, 3
1[2:3]
1[2:3:4]
1[2::4]
1[::4]
1[...]
1[:,]
fob.oar
fob = 1
fob += 1
fob -= 1
fob *= 1
fob /= 1
fob //= 1
fob %= 1
fob &= 1
fob |= 1
fob ^= 1
fob >>= 1
fob <<= 1
fob **= 1
| 8.84
| 10
| 0.366516
| 52
| 221
| 1.576923
| 0.134615
| 0.634146
| 1.02439
| 1.170732
| 0.817073
| 0.817073
| 0.634146
| 0.634146
| 0.634146
| 0.634146
| 0
| 0.248276
| 0.343891
| 221
| 24
| 11
| 9.208333
| 0.310345
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
06843b1508ae780e01bf2c09f4ae8038d3aa3720
| 47
|
py
|
Python
|
dataset_src/controllers/download.py
|
uwdata/termite-treetm
|
81b04a783fa733ae779b14633653582e69be744a
|
[
"BSD-3-Clause"
] | 7
|
2015-05-01T18:05:32.000Z
|
2019-05-03T12:18:53.000Z
|
dataset_src/controllers/default.py
|
uwdata/termite-treetm
|
81b04a783fa733ae779b14633653582e69be744a
|
[
"BSD-3-Clause"
] | null | null | null |
dataset_src/controllers/default.py
|
uwdata/termite-treetm
|
81b04a783fa733ae779b14633653582e69be744a
|
[
"BSD-3-Clause"
] | 5
|
2015-01-25T04:51:11.000Z
|
2020-08-26T16:50:26.000Z
|
#!/usr/bin/env python
def index():
return {}
| 9.4
| 21
| 0.617021
| 7
| 47
| 4.142857
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.170213
| 47
| 4
| 22
| 11.75
| 0.74359
| 0.425532
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
069b52dc79bef5974eb8eadd9c80f07097d665a3
| 1,940
|
py
|
Python
|
tests/cupy_tests/manipulation_tests/test_kind.py
|
andersk/cupy
|
c73a325dd034ee9abfac2c4af11aa9107ec89042
|
[
"MIT"
] | 2
|
2020-02-17T18:47:30.000Z
|
2020-02-17T18:47:35.000Z
|
tests/cupy_tests/manipulation_tests/test_kind.py
|
andersk/cupy
|
c73a325dd034ee9abfac2c4af11aa9107ec89042
|
[
"MIT"
] | 1
|
2019-08-05T09:36:13.000Z
|
2019-08-06T12:03:01.000Z
|
tests/cupy_tests/manipulation_tests/test_kind.py
|
andersk/cupy
|
c73a325dd034ee9abfac2c4af11aa9107ec89042
|
[
"MIT"
] | 1
|
2022-03-24T13:19:55.000Z
|
2022-03-24T13:19:55.000Z
|
import unittest
import numpy
import cupy
from cupy import testing
@testing.gpu
class TestKind(unittest.TestCase):
@testing.for_all_dtypes()
def test_asfortranarray1(self, dtype):
def func(xp):
x = xp.zeros((2, 3), dtype)
ret = xp.asfortranarray(x)
self.assertTrue(x.flags.c_contiguous)
self.assertTrue(ret.flags.f_contiguous)
return ret.strides
self.assertEqual(func(numpy), func(cupy))
@testing.for_all_dtypes()
def test_asfortranarray2(self, dtype):
def func(xp):
x = xp.zeros((2, 3, 4), dtype)
ret = xp.asfortranarray(x)
self.assertTrue(x.flags.c_contiguous)
self.assertTrue(ret.flags.f_contiguous)
return ret.strides
self.assertEqual(func(numpy), func(cupy))
@testing.for_all_dtypes()
def test_asfortranarray3(self, dtype):
def func(xp):
x = xp.zeros((2, 3, 4), dtype)
ret = xp.asfortranarray(xp.asfortranarray(x))
self.assertTrue(x.flags.c_contiguous)
self.assertTrue(ret.flags.f_contiguous)
return ret.strides
self.assertEqual(func(numpy), func(cupy))
@testing.for_all_dtypes()
def test_asfortranarray4(self, dtype):
def func(xp):
x = xp.zeros((2, 3), dtype)
x = xp.transpose(x, (1, 0))
ret = xp.asfortranarray(x)
self.assertTrue(ret.flags.f_contiguous)
return ret.strides
self.assertEqual(func(numpy), func(cupy))
@testing.for_all_dtypes()
def test_asfortranarray5(self, dtype):
def func(xp):
x = testing.shaped_arange((2, 3), xp, dtype)
ret = xp.asfortranarray(x)
self.assertTrue(x.flags.c_contiguous)
self.assertTrue(ret.flags.f_contiguous)
return ret.strides
self.assertEqual(func(numpy), func(cupy))
| 31.803279
| 57
| 0.601031
| 237
| 1,940
| 4.814346
| 0.185654
| 0.110429
| 0.056968
| 0.08326
| 0.817704
| 0.817704
| 0.760736
| 0.760736
| 0.760736
| 0.760736
| 0
| 0.013659
| 0.28299
| 1,940
| 60
| 58
| 32.333333
| 0.806614
| 0
| 0
| 0.72549
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.27451
| 1
| 0.196078
| false
| 0
| 0.078431
| 0
| 0.392157
| 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
|
233ce8a836d803b163d5869a19e114a1cecb3b81
| 6,893
|
py
|
Python
|
Global Alignment.py
|
eslamayman1214/Bioinformatics-Techniques
|
c278090fe1ecdeb3dda06bcab4e23099c0b2d6c9
|
[
"MIT"
] | null | null | null |
Global Alignment.py
|
eslamayman1214/Bioinformatics-Techniques
|
c278090fe1ecdeb3dda06bcab4e23099c0b2d6c9
|
[
"MIT"
] | null | null | null |
Global Alignment.py
|
eslamayman1214/Bioinformatics-Techniques
|
c278090fe1ecdeb3dda06bcab4e23099c0b2d6c9
|
[
"MIT"
] | null | null | null |
import numpy as nm
from Bio.SubsMat import MatrixInfo
blosum= MatrixInfo.blosum62
def Global_DNA_Align_Algorithm(FirstSeq, SecondSeq):
# Variables
Sequence1 = " " + FirstSeq.upper()
Sequence2 = " " + SecondSeq.upper()
MScore = 1
MMScore = -2
GScore = -1
FirstAlign = []
SecondAlign = []
NextStep = ""
k = len(Sequence1) - 1
n = len(Sequence2) - 1
# Matrix Figuration
Matrix = nm.zeros((len(Sequence1), len(Sequence2)))
for i in range(len(Sequence1)):
Matrix[i][0] = i * GScore
for j in range(len(Sequence2)):
Matrix[0][j] = j * GScore
# Matrix Calculation
for i in range(1, len(Sequence1)):
for j in range(1, len(Sequence2)):
if (Sequence1[i] == Sequence2[j]):
D = MScore + Matrix[i - 1][j - 1]
else:
D = MMScore + Matrix[i - 1][j - 1]
L = GScore + Matrix[i][j - 1]
U = GScore + Matrix[i - 1][j]
MaxScoreIndex = nm.argmax([D, L, U])
if (MaxScoreIndex == 0):
NextStep += "D"
elif (MaxScoreIndex == 1):
NextStep += "L"
else:
NextStep += "U"
Matrix[i][j] = nm.max([D, L, U])
# Matrix Traceback
Backward_Directions = nm.reshape(list(NextStep), (len(Sequence1) - 1, len(Sequence2) - 1))
Backward_Directions = nm.vstack([["*"] * Backward_Directions.shape[1], Backward_Directions])
Backward_Directions = nm.column_stack([["*"] * Backward_Directions.shape[0], Backward_Directions])
while (True):
if (Backward_Directions[k][n] == "D"):
FirstAlign.append(Sequence1[k])
SecondAlign.append(Sequence2[n])
k -= 1
n -= 1
elif (Backward_Directions[k][n] == "U"):
if (Sequence1[k] == ' '):
FirstAlign.append("-")
SecondAlign.append(Sequence2[n])
n -= 1
else:
FirstAlign.append(Sequence1[k])
SecondAlign.append("-")
k -= 1
else:
if (Sequence2[n] == ' '):
SecondAlign.append("-")
FirstAlign.append(Sequence1[k])
k -= 1
else:
SecondAlign.append(Sequence2[n])
FirstAlign.append("-")
n -= 1
if (k < 0):
break
if (n < 0):
break
FirstAlign.reverse()
SecondAlign.reverse()
print("The Best Alignment Sequences are :")
print("Alignment Sequence 1 : " , FirstAlign[1:])
print("Alignment Sequence 2 : " , SecondAlign[1:])
print("\nThe Scoring Matrix : \n")
print(Matrix)
print("The Score Of The Cell We begin From is : ", Matrix[len(Sequence1) - 1][len(Sequence2) - 1], "\n")
def Global_Protein_Align_Algorithm(FirstSeq, SecondSeq):
# Variables
Sequence1 = " " + FirstSeq.upper()
Sequence2 = " " + SecondSeq.upper()
GScore = -1
FirstAlign = []
SecondAlign = []
NextStep = ""
k = len(Sequence1) - 1
n = len(Sequence2) - 1
# Matrix Figuration
Matrix = nm.zeros((len(Sequence1), len(Sequence2)))
for i in range(len(Sequence1)):
Matrix[i][0] = i * GScore
for j in range(len(Sequence2)):
Matrix[0][j] = j * GScore
# Matrix Calculation
for i in range(1, len(Sequence1)):
for j in range(1, len(Sequence2)):
pair = (Sequence1[i], Sequence2[j])
if (Sequence1[i] == Sequence2[j]):
if (pair not in blosum):
D = blosum[tuple(reversed(pair))] + Matrix[i - 1][j - 1]
else:
D = blosum[Sequence1[i], Sequence2[j]] + Matrix[i - 1][j - 1]
else:
if (pair not in blosum):
D = blosum[tuple(reversed(pair))] + Matrix[i - 1][j - 1]
else:
D = blosum[Sequence1[i], Sequence2[j]] + Matrix[i - 1][j - 1]
L = GScore + Matrix[i][j - 1]
U = GScore + Matrix[i - 1][j]
MaxScoreIndex = nm.argmax([D, L, U])
if (MaxScoreIndex == 0):
NextStep += "D"
elif (MaxScoreIndex == 1):
NextStep += "L"
else:
NextStep += "U"
Matrix[i][j] = nm.max([D, L, U])
# Matrix Traceback
Backward_Directions = nm.reshape(list(NextStep), (len(Sequence1) - 1, len(Sequence2) - 1))
Backward_Directions = nm.vstack([["*"] * Backward_Directions.shape[1], Backward_Directions])
Backward_Directions = nm.column_stack([["*"] * Backward_Directions.shape[0], Backward_Directions])
while (True):
if (Backward_Directions[k][n] == "D"):
FirstAlign.append(Sequence1[k])
SecondAlign.append(Sequence2[n])
k -= 1
n -= 1
elif (Backward_Directions[k][n] == "U"):
if (Sequence1[k] == ' '):
FirstAlign.append("-")
SecondAlign.append(Sequence2[n])
n -= 1
else:
FirstAlign.append(Sequence1[k])
SecondAlign.append("-")
k -= 1
else:
if (Sequence2[n] == ' '):
SecondAlign.append("-")
FirstAlign.append(Sequence1[k])
k -= 1
else:
SecondAlign.append(Sequence2[n])
FirstAlign.append("-")
n -= 1
if (k < 0):
break
if (n < 0):
break
FirstAlign.reverse()
SecondAlign.reverse()
print("The Best Alignment Sequences are :")
print("Alignment Sequence 1 : ", FirstAlign[1:])
print("Alignment Sequence 2 : ", SecondAlign[1:])
print("\nThe Scoring Matrix : \n")
print(Matrix)
print("The Score Of The Cell We begin From is : ", Matrix[len(Sequence1) - 1][len(Sequence2) - 1], "\n")
# Main
print("Please Enter 0 For DNA ALIGNMENT OR 1 for Protein Alignment: ")
Choise = input("Enter Your Choise : ")
if (Choise=='0'):
print("Enter the Two Sequences you want to Align , Please : ")
Seq1 = input("Enter 1st Sequence : ")
Seq2 = input("Enter 2nd Sequence : ")
print("Global Alignment is : \n")
Global_DNA_Align_Algorithm(Seq1, Seq2)
elif(Choise=='1'):
print("Enter the Two Sequences you want to Align , Please : ")
Seq1 = input("Enter 1st Sequence : ")
Seq2 = input("Enter 2nd Sequence : ")
print("Global Alignment is : \n")
Global_Protein_Align_Algorithm(Seq1, Seq2)
| 35.348718
| 113
| 0.496301
| 727
| 6,893
| 4.661623
| 0.137552
| 0.095603
| 0.018885
| 0.021245
| 0.915019
| 0.896135
| 0.894954
| 0.890528
| 0.890528
| 0.890528
| 0
| 0.033065
| 0.3682
| 6,893
| 194
| 114
| 35.530928
| 0.745121
| 0.01915
| 0
| 0.902439
| 0
| 0
| 0.096148
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.012195
| false
| 0
| 0.012195
| 0
| 0.02439
| 0.103659
| 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
|
237ae4a22f39deca362ba5d452a71593f1acf6a1
| 49
|
py
|
Python
|
scte/__init__.py
|
scattym/scte
|
1a7fc467775e0c1108f3ec948c2795f7350b6302
|
[
"Apache-2.0"
] | 9
|
2019-05-04T02:03:18.000Z
|
2021-02-25T01:30:12.000Z
|
scte/__init__.py
|
scattym/scte
|
1a7fc467775e0c1108f3ec948c2795f7350b6302
|
[
"Apache-2.0"
] | 3
|
2019-05-14T17:23:05.000Z
|
2020-10-12T15:42:36.000Z
|
scte/__init__.py
|
scattym/scte
|
1a7fc467775e0c1108f3ec948c2795f7350b6302
|
[
"Apache-2.0"
] | 7
|
2018-11-05T19:46:43.000Z
|
2020-07-26T01:38:59.000Z
|
from scte import Scte35
from scte import Scte104
| 16.333333
| 24
| 0.836735
| 8
| 49
| 5.125
| 0.625
| 0.390244
| 0.682927
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121951
| 0.163265
| 49
| 2
| 25
| 24.5
| 0.878049
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 1
| 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
| 8
|
88e641dd9c9d5fc446d0f5121c86fd01c190c69e
| 97
|
py
|
Python
|
instance/config.py
|
kimani-njoroge/NewsHighlight
|
7488d6ce84f4c3eef3a551167f7f85b7b85c9447
|
[
"MIT"
] | null | null | null |
instance/config.py
|
kimani-njoroge/NewsHighlight
|
7488d6ce84f4c3eef3a551167f7f85b7b85c9447
|
[
"MIT"
] | null | null | null |
instance/config.py
|
kimani-njoroge/NewsHighlight
|
7488d6ce84f4c3eef3a551167f7f85b7b85c9447
|
[
"MIT"
] | null | null | null |
NEWS_API_KEY = 'e272a59bd08e4af590f2f775c7855745'
SECRET_KEY = 'bdda0205f339763ebe2045fe7c58901d'
| 48.5
| 49
| 0.886598
| 7
| 97
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| 0.857143
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| 2
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| 0.653061
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| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
0023a855944d198696e0561fd14689f6cecb4bb8
| 8,046
|
py
|
Python
|
cloudroast/meniscus/functional/producer.py
|
lmaycotte/cloudroast
|
c1835aa45e0e86c755d4b24b33e12ba30eee1995
|
[
"Apache-2.0"
] | null | null | null |
cloudroast/meniscus/functional/producer.py
|
lmaycotte/cloudroast
|
c1835aa45e0e86c755d4b24b33e12ba30eee1995
|
[
"Apache-2.0"
] | null | null | null |
cloudroast/meniscus/functional/producer.py
|
lmaycotte/cloudroast
|
c1835aa45e0e86c755d4b24b33e12ba30eee1995
|
[
"Apache-2.0"
] | 1
|
2020-11-17T19:04:33.000Z
|
2020-11-17T19:04:33.000Z
|
"""
Copyright 2013 Rackspace
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 uuid import uuid4
from cafe.drivers.unittest.decorators import tags
from cloudroast.meniscus.fixtures import ProducerFixture
class TenantAPIProducer(ProducerFixture):
@tags(type='positive')
def test_create_producer_with_only_required(self):
"""
Only name and pattern should be required to create a producer
"""
resp = self.producer_behaviors.create_producer(
name=self.tenant_config.producer_name,
pattern=self.tenant_config.producer_pattern)
self.assertIsNotNone(resp['producer_id'])
self.assertEqual(resp['request'].status_code, 201)
@tags(type='positive')
def test_create_producer_with_uuid_name(self):
"""
Attempting to create producer with uuid for the name
"""
resp = self.producer_behaviors.create_producer(
name=str(uuid4()),
pattern=self.tenant_config.producer_pattern)
self.assertIsNotNone(resp['producer_id'])
self.assertEqual(resp['request'].status_code, 201)
resp = self.producer_client.get_producer(resp['producer_id'])
self.assertEqual(resp.status_code, 200)
@tags(type='positive')
def test_create_producer_with_durable_set_true(self):
"""
Make sure we can create a producer with durable set true
"""
resp = self.producer_behaviors.create_producer(
name=self.tenant_config.producer_name,
pattern=self.tenant_config.producer_pattern,
durable=True)
self.assertIsNotNone(resp['producer_id'])
self.assertEqual(resp['request'].status_code, 201)
@tags(type='positive')
def test_create_producer_with_durable_set_false(self):
"""
Make sure we can create a producer with durable set false
"""
resp = self.producer_behaviors.create_producer(
name=self.tenant_config.producer_name,
pattern=self.tenant_config.producer_pattern,
durable=False)
self.assertIsNotNone(resp['producer_id'])
self.assertEqual(resp['request'].status_code, 201)
@tags(type='positive')
def test_create_producer_with_encrypted_set_true(self):
"""
Make sure we can create a producer with encrypted set true
"""
resp = self.producer_behaviors.create_producer(
name=self.tenant_config.producer_name,
pattern=self.tenant_config.producer_pattern,
encrypted=True)
self.assertIsNotNone(resp['producer_id'])
self.assertEqual(resp['request'].status_code, 201)
@tags(type='positive')
def test_create_producer_with_encrypted_set_false(self):
"""
Make sure we can create a producer with encrypted set false
"""
resp = self.producer_behaviors.create_producer(
name=self.tenant_config.producer_name,
pattern=self.tenant_config.producer_pattern,
encrypted=False)
self.assertIsNotNone(resp['producer_id'])
self.assertEqual(resp['request'].status_code, 201)
@tags(type='positive')
def test_update_producer_name(self):
"""
Updating a producer's name
"""
resp = self.producer_behaviors.create_producer_from_cfg()
producer_id = resp['producer_id']
print resp['request'].text
self.assertIsNotNone(producer_id)
self.assertEqual(resp['request'].status_code, 201)
pattern = self.tenant_config.producer_pattern
resp = self.producer_client.update_producer(producer_id=producer_id,
name='new_name',
pattern=pattern)
self.assertEqual(resp.status_code, 200)
resp = self.producer_client.get_producer(producer_id)
self.assertEqual(resp.entity.name, 'new_name')
@tags(type='positive')
def test_update_producer_durable_w_true(self):
"""
Updating a producer's durable with True
"""
resp = self.producer_behaviors.create_producer_from_cfg()
producer_id = resp['producer_id']
self.assertIsNotNone(producer_id)
self.assertEqual(resp['request'].status_code, 201)
pattern = self.tenant_config.producer_pattern
name = self.tenant_config.producer_name
resp = self.producer_client.update_producer(producer_id=producer_id,
durable=True,
pattern=pattern,
name=name)
self.assertEqual(resp.status_code, 200)
resp = self.producer_client.get_producer(producer_id)
self.assertTrue(resp.entity.durable)
@tags(type='positive')
def test_update_producer_durable_w_false(self):
"""
Updating a producer's durable with False
"""
resp = self.producer_behaviors.create_producer_from_cfg()
producer_id = resp['producer_id']
self.assertIsNotNone(producer_id)
self.assertEqual(resp['request'].status_code, 201)
pattern = self.tenant_config.producer_pattern
name = self.tenant_config.producer_name
resp = self.producer_client.update_producer(producer_id=producer_id,
durable=False,
pattern=pattern,
name=name)
self.assertEqual(resp.status_code, 200)
resp = self.producer_client.get_producer(producer_id)
self.assertFalse(resp.entity.durable)
@tags(type='positive')
def test_update_producer_encrypted_w_true(self):
"""
Updating a producer's encrypted with True
"""
resp = self.producer_behaviors.create_producer_from_cfg()
producer_id = resp['producer_id']
self.assertIsNotNone(producer_id)
self.assertEqual(resp['request'].status_code, 201)
pattern = self.tenant_config.producer_pattern
name = self.tenant_config.producer_name
resp = self.producer_client.update_producer(producer_id=producer_id,
encrypted=True,
pattern=pattern,
name=name)
self.assertEqual(resp.status_code, 200)
resp = self.producer_client.get_producer(producer_id)
self.assertTrue(resp.entity.encrypted)
@tags(type='positive')
def test_update_producer_encrypted_w_false(self):
"""
Updating a producer's encrypted with False
"""
resp = self.producer_behaviors.create_producer_from_cfg()
producer_id = resp['producer_id']
self.assertIsNotNone(producer_id)
self.assertEqual(resp['request'].status_code, 201)
pattern = self.tenant_config.producer_pattern
name = self.tenant_config.producer_name
resp = self.producer_client.update_producer(producer_id=producer_id,
encrypted=False,
pattern=pattern,
name=name)
self.assertEqual(resp.status_code, 200)
resp = self.producer_client.get_producer(producer_id)
self.assertFalse(resp.entity.encrypted)
| 39.24878
| 76
| 0.629132
| 883
| 8,046
| 5.498301
| 0.141563
| 0.07621
| 0.072503
| 0.098867
| 0.835427
| 0.827806
| 0.811535
| 0.769722
| 0.761277
| 0.73862
| 0
| 0.010623
| 0.286353
| 8,046
| 204
| 77
| 39.441176
| 0.834901
| 0
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| 0.738095
| 0
| 0
| 0.047804
| 0
| 0
| 0
| 0
| 0
| 0.261905
| 0
| null | null | 0
| 0.02381
| null | null | 0.007937
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
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| null | 0
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| 0
|
0
| 8
|
cc3b81524d39f5a4fea6ed920c53a4c601ae72d9
| 757
|
py
|
Python
|
BlackBox_Python/.ipynb_checkpoints/ABtests-checkpoint.py
|
UBC-MDS/BlackBox_Python
|
5eb7effa09d21b5fe0ca8a2bb18a456d1e6edcc8
|
[
"MIT"
] | null | null | null |
BlackBox_Python/.ipynb_checkpoints/ABtests-checkpoint.py
|
UBC-MDS/BlackBox_Python
|
5eb7effa09d21b5fe0ca8a2bb18a456d1e6edcc8
|
[
"MIT"
] | 1
|
2018-03-04T10:46:34.000Z
|
2018-03-04T10:46:34.000Z
|
BlackBox_Python/.ipynb_checkpoints/ABtests-checkpoint.py
|
UBC-MDS/BlackBox_Python
|
5eb7effa09d21b5fe0ca8a2bb18a456d1e6edcc8
|
[
"MIT"
] | 4
|
2018-02-11T05:49:07.000Z
|
2018-03-17T02:39:29.000Z
|
def performABtest_Freq(df):
"""
Get results of A/B tests done using the frequentist approach
Args:
dataframe: first column is event(string), second column is value(numeric)
Return:
p-value indicating significance.
"""
if(!isinstance([1,2],pd.DataFrame) == False):
raise TypeError("Not a data frame")
pass
def performABtest_Bayesian(df,prior = None):
"""
Get results of A/B tests done using the Bayesian approach
Args:
dataframe: first column is event(string), second column is value(numeric)
prior: prior assumptions of the data
Return:
p-value indicating significance.
"""
if(isinstance([1,2],pd.DataFrame) == False):
raise TypeError("Not a data frame")
pass
| 26.103448
| 77
| 0.663144
| 100
| 757
| 5
| 0.45
| 0.064
| 0.048
| 0.052
| 0.788
| 0.788
| 0.788
| 0.788
| 0.788
| 0.664
| 0
| 0.00692
| 0.23646
| 757
| 28
| 78
| 27.035714
| 0.858131
| 0
| 0
| 0.5
| 0
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| 0.110727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.25
| 0
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
cc8ab57c9ecf5ae25814bbaea97a32c6ecf6651e
| 27,402
|
py
|
Python
|
LPES-video/01.01-podstawy-terminala/01.01.01-terminal.py
|
opcode-eu-org-website/LPES-wyklady-src
|
dd4d413f2bb5560790b6365fa7e68e8f1a8a65b0
|
[
"MIT"
] | null | null | null |
LPES-video/01.01-podstawy-terminala/01.01.01-terminal.py
|
opcode-eu-org-website/LPES-wyklady-src
|
dd4d413f2bb5560790b6365fa7e68e8f1a8a65b0
|
[
"MIT"
] | null | null | null |
LPES-video/01.01-podstawy-terminala/01.01.01-terminal.py
|
opcode-eu-org-website/LPES-wyklady-src
|
dd4d413f2bb5560790b6365fa7e68e8f1a8a65b0
|
[
"MIT"
] | 1
|
2021-07-03T16:43:47.000Z
|
2021-07-03T16:43:47.000Z
|
# Copyright (c) 2020-2021 Matematyka dla Ciekawych Świata (http://ciekawi.icm.edu.pl/)
# Copyright (c) 2020-2021 Robert Ryszard Paciorek <rrp@opcode.eu.org>
#
# MIT License
#
# 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.
prompt_txt = eduMovie.prompt(clear=False)
userhostdir = eduMovie.prompt(prompt="", color=False)
try: clipData
except NameError: clipData = []
clipData += [
{ 'title': [ "#01.1", "Podstawy pracy", "w terminalu", "" ] },
{ 'comment': 'terminal' },
{
'image': [
[0, eduMovie.convertFile('komputer.svg', margins=0)]
],
'text' : [
"Komputer potrafi wykonywać jedynie jakiś zaprogramowany wcześniej ciąg instrukcji. <m>"
"Każde polecenie wydawane przez użytkownika wiąże się z uruchomieniem takiego ciągu instrukcji. <m>"
"Może nim być program komputerowy albo też jakaś konkretna funkcja w ramach danego programu. <m>"
"Podstawowym sposobem wydawania poleceń, <m> czyli właśnie uruchamiania takich ciągów instrukcji, <m> w systemach typu UNIX jest wpisywanie ich w terminalu. <m>"
]
},
{
'image': [
[0, eduMovie.convertFile('terminal_szeregowy_diagram.svg')]
],
'text' : [
"Terminal może pracować zarówno w środowisku graficznym <m> - jako tak zwany emulator terminala, <m> działający pod kontrolą X serwera. <m>"
"Może on także działać w ramach linuxowej wirtualnej konsoli <m> - czyli w trybie tekstowym lub pseudo tekstowym nie wymagającym środowiska graficznego <m>"
"lub być uruchomiony na prawdziwym połączeniu czysto tekstowym, <m> takim jak na przykład port szeregowy. <m>"
"Terminal zapewnia obsługę wejścia-wyjścia <m> czyli wprowadzania znaków (przyjmowanych typowo z klawiatury) <m> oraz wyświetlania znaków na ekranie. <m>"
"Szczegóły tego działania zależne są od konkretnej implementacji <m> terminala i sprzętu na którym funkcjonuje. <m>"
"Inaczej będzie realizowane działanie terminala na porcie szeregowym, <m> a inaczej w środowisku X serwera. <m>"
"Terminal zapewnia też obsługę sekwencji sterujących <m> związanych z ruchem kursora, ustalaniem miejsca wypisywania informacji, <m> przełączania kolorów i innego formatowania tekstu. <m>"
]
},
{
'image': [
[0, eduMovie.convertFile('terminal_szeregowy.svg', margins=0)]
],
'text' : [
"W ramach terminala działają różnego rodzaju programy. <m> Podstawowym takim programem jest na ogół jakiś interpreter poleceń, nazywany również powłoką. <m>"
"Pozwala on na uruchamianie kolejnych programów, <m> którymi mogą być też kolejne interpretery poleceń <m> zarówno tego samego jak i innego rodzaju. <m>"
"Różne interpretery często korzystają z różnych składni <m> i różnią się tak zwanym znakiem zachęty. <m>"
]
},
{
'console': [
[0.0, "o", prompt_txt]
],
'text' : [
"Znakiem zachęty nazywamy to co jest wypisane na początku linii przed migającym kursorem, <m> który oznacza oczekiwanie na wprowadzanie tekstu. <m>"
"Na ekranie widzimy aktualnie basha, <m> czyli chyba najpopularniejszą powłokę systemową <m> stosowaną w systemach linuksowych. <m>"
"Bash jest zgodny ze składnią <sh>[SH] <m> i oprócz zwykłego uruchamiania innych programów <m> zapewnia między innymi także obsługę zmiennych i znaków uogólniających. <m>"
"Standardowy znak zachęty w bashu ma postać znaku dolara (dla zwykłego użytkownika) <m> lub znaku krzyżyka (hasza) dla <root'a>[ruta]. <m>"
"Przed znakiem zachęty w zależności od konfiguracji basha <m> mogą występować dodatkowe informacje, <m>"
'takie jak: nazwa użytkownika na prawach którego funkcjonujemy, <m> nazwa hosta i ścieżka do katalogu w którym się znajdujemy. <m>'
"W widocznym przykładzie nazwą użytkownika jest <rrp>[RRP], <m> nazwą hosta dragon, a bieżącym katalogiem jest <tmp>[TMP]. <m>"
"Do rozdzielenia nazwy hosta od ścieżki użyty został dwukropek, <m> co jak się przekonamy w przyszłości, jest dość typowe. <m>"
"Innym przykładem interpretera poleceń może być na przykład Python. <m>"
]
},
{
'console': [
[0.386726, "o", "p"],
[1.082962, "o", "y"],
[1.274729, "o", "t"],
[1.522928, "o", "h"],
[1.779238, "o", "o"],
[2.002661, "o", "n"],
[3.266715, "o", "3"],
[4.090717, "o", "\r\n"],
[4.116192, "o", "Python 3.7.3 (default, Jul 25 2020, 13:03:44) \r\n[GCC 8.3.0] on linux\r\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\r\n"],
[4.145747, "o", ">>> "]
],
'text' : [
"Po uruchomieniu Pythona widzimy że zmienił się znak zachęty <m> – przyjął on postać trzech znaków większości. <m>"
"Jeżeli zakończymy działanie Pythona <m> (na przykład przy pomocy Control D, oznaczającego koniec wprowadzanych danych tekstowych) <m> to wrócimy do wcześniej używanego interpretera poleceń <m> - w tym wypadku basha. <m>"
]
},
{
'console': [
[0.0, "o", "\r\n"],
[0.0, "o", prompt_txt] # TODO pokazanie wciskanych klawiszy jako grafiki, polecenia z historii, ruch kursora
],
'text' : [
"Jest to również sygnalizowane zmianą znaku zachęty. <m>"
"Bash pozwala na edycję linii poleceń oraz korzystanie z historii, <m> dzięki czemu przy pomocy strzałek góra-dół <m> możemy przeglądać historię wprowadzonych poleceń, <m> a za pomocą skrótu Control R możemy ją przeszukiwać. <m>"
]
},
{
'console': [
[0.0, eduMovie.prompt()], # TODO pokazanie wciskanych klawiszy jako grafiki
["tab1 + 0.871946", "o", "p"],
["tab1 + 1.191943", "o", "y"],
["tab1 + 1.407962", "o", "t"],
["tab1 + 2.586316", "o", "\u0007hon"],
["tab2 + 2.3", "o", "\r\npython python2.7 python3.7 python3m pythontex \r\npython2 python3 python3.7m pythoncad pythontex3 \r\n"],
["tab2 + 2.3", "o", prompt_txt + "python"],
["tab2 + 5.216088", "o", "c"],
["tab2 + 6.33088", "o", "ad "],
],
'text' : [
"Wprowadzane lub wybrane z historii polecenia możemy także edytować <m> poruszając się po nich strzałkami prawo-lewo <m> i uruchomić naciskając Enter. <m>"
'Istotnym ułatwieniem przy wprowadzaniu poleceń <m> jest funkcja auto uzupełniania obejmująca zarówno same nazwy poleceń, <m> jak również ścieżki, a nierzadko także inne argumenty poleceń. <mark name="tab1" />'
"Pojedyncze naciśnięcie klawisza Tab powoduje dopełnienie <m> wpisywanego tekstu, jeżeli jest ono jednoznaczne. <m>"
'Jeżeli jest kilka możliwości, <m> dopełniony zostanie najdłuższy jednoznaczny fragment, <m> w widocznym przykładzie jest to python. <mark name="tab2" />'
"Dwukrotne naciśnięcie klawisza Tab spowoduje wyświetlenie dostępnych możliwości. <m>"
"Po ujednoznacznieniu możemy ponownie użyć klawisza Tab, <m> aby nastąpiło dopełnienie, i tak dalej. <m>"
"Oprócz samej powłoki i terminala możemy mieć także do czynienia <m> z programami określanymi jako multipleksery terminala. <m> Są one niejako pomiędzy terminalem a powłoką. <m>"
]
},
{
'console': [
[0.05532, "o", " ^C\n\r" + eduMovie.prompt()],
[0.917739, "o", "t"],
[1.173472, "o", "m"],
[1.517678, "o", "u"],
[1.741687, "o", "x"],
[2.534316, "o", "\r\n"],
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[2.546538, "o", "\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[37m\u001b[100m \u001b(B\u001b[m\u001b[1;1H\u001b[?12l\u001b[?25h"],
[2.547046, "o", "\u001b[?69h\u001b(B\u001b[m\u001b[?12;25h\u001b[?12l\u001b[?25h\u001b[?1003l\u001b[?1006l\u001b[?2004l\u001b[1;1H\u001b[1;24r\u001b[1;24r\u001b[s\u001b[1;1H"],
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[2.612277, "o", prompt_txt],
[2.615792, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.0 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:44 UTC\u001b(B\u001b[m\u001b[1;18H\u001b[?12l\u001b[?25h"],
[3.544789, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.0 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:45 UTC\u001b(B\u001b[m\u001b[1;18H\u001b[?12l\u001b[?25h"],
[4.544372, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.0 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:46 UTC\u001b(B\u001b[m\u001b[1;18H\u001b[?12l\u001b[?25h"],
[5.545748, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.0 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:47 UTC\u001b(B\u001b[m\u001b[1;18H\u001b[?12l\u001b[?25h"],
[6.245631, "o", "\u001b[?25l\u001b[12;1H─────────────────────────────────────────\u001b[32m───────────────────────────────────────\u001b[1;1H\u001b(B\u001b[m" + prompt_txt + "\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[2B\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[33m\u001b[40m\u001b[1m7:0.1 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:47 UTC\u001b(B\u001b[m\u001b[13;1H\u001b[?12l\u001b[?25h\u001b[H\u001b[K" + prompt_txt + "\u001b[13;1H"],
[6.316847, "o", prompt_txt],
[6.320672, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.1 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:47 UTC\u001b(B\u001b[m\u001b[13;18H\u001b[?12l\u001b[?25h"],
[6.545798, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.1 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:48 UTC\u001b(B\u001b[m\u001b[13;18H\u001b[?12l\u001b[?25h"],
[7.189859, "o", "e"],
[7.545419, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.1 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:49 UTC\u001b(B\u001b[m\u001b[13;19H\u001b[?12l\u001b[?25h"],
[8.165949, "o", "c"],
[8.486011, "o", "h"],
[8.546478, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.1 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:50 UTC\u001b(B\u001b[m\u001b[13;21H\u001b[?12l\u001b[?25h"],
[8.830487, "o", "o"],
[9.181813, "o", " "],
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[9.621989, "o", "A"],
[9.941761, "o", "\r\n"],
[9.942614, "o", "A\r\n" + prompt_txt + ""],
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[10.702881, "o", "\u001b[?25l\u001b[32m\u001b[12;1H─────────────────────────────────────────\u001b[39m───────────────────────────────────────\u001b[24;1H\u001b(B\u001b[m\u001b[33m\u001b[40m\u001b[1m7:0.0 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:52 UTC\u001b(B\u001b[m\u001b[1;18H\u001b[?12l\u001b[?25h"],
[11.463979, "o", "e"],
[11.544199, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.0 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:53 UTC\u001b(B\u001b[m\u001b[1;19H\u001b[?12l\u001b[?25h"],
[11.741887, "o", "c"],
[11.933859, "o", "h"],
[12.189882, "o", "o"],
[12.445885, "o", " "],
[12.546813, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.0 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:54 UTC\u001b(B\u001b[m\u001b[1;23H\u001b[?12l\u001b[?25h"],
[12.853846, "o", "B"],
[13.517799, "o", "\r\n"],
[13.51809, "o", "B\r\n"],
[13.521417, "o", "\u001b[?25l\u001b[24d\u001b[33m\u001b[40m\u001b[1m7:0.0 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:55 UTC\u001b(B\u001b[m\u001b[3;1H\u001b[?12l\u001b[?25h" + prompt_txt + ""],
[14.246374, "o", "\u001b[?25l\u001b[12;1H─────────────────────────────────────────\u001b[32m───────────────────────────────────────\u001b[24;1H\u001b(B\u001b[m\u001b[33m\u001b[40m\u001b[1m7:0.1 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:55 UTC\u001b(B\u001b[m\u001b[15;18H\u001b[?12l\u001b[?25h"],
[14.544826, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.1 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:56 UTC\u001b(B\u001b[m\u001b[15;18H\u001b[?12l\u001b[?25h"],
[15.366213, "o", "\u001b[?25l\u001b[12;1H────────────────────────────────────────\u001b[32m┬───────────────────────────────────────\u001b[13;41H│\u001b[14;41H│\u001b[15;41H│\u001b[16;41H│\u001b[17;41H│\u001b[18;41H│\u001b[19;41H│\u001b[20;41H│\u001b[21;41H│\u001b[22;41H│\u001b[23;41H│\u001b[H\u001b(B\u001b[m" + prompt_txt + "echo B\u001b[K\r\nB\u001b[K\r\n" + prompt_txt + "\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[2B" + prompt_txt + "echo A \u001b[1X\n\u001b[1K\rA\u001b[15;40H\u001b[1K\r" + prompt_txt + "\u001b[16;40H\u001b[1K\n\u001b[1K\n\u001b[1K\n\u001b[1K\n\u001b[1K\n\u001b[1K\n\u001b[1K\n\u001b[1K\u001b[13;42H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\r\n\u001b[33m\u001b[40m\u001b[1m7:0.2 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:56 UTC\u001b(B\u001b[m\u001b[13;42H\u001b[?12l\u001b[?25h"],
[15.366426, "o", "\u001b[15;40H\u001b[1K\r" + prompt_txt + "\u001b[13;42H"],
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[15.544961, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.2 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:57 UTC\u001b(B\u001b[m\u001b[13;59H\u001b[?12l\u001b[?25h"],
[16.237942, "o", "e"],
[16.544769, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.2 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:20:58 UTC\u001b(B\u001b[m\u001b[13;60H\u001b[?12l\u001b[?25h"],
[16.557783, "o", "c"],
[16.753421, "o", "h"],
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[17.693923, "o", "C"],
[18.013811, "o", "\u001b[14;42H"],
[18.014111, "o", "C\u001b[15;42H"],
[18.014709, "o", prompt_txt],
[18.545791, "o", "\u001b[?25l\u001b[24;1H\u001b[33m\u001b[40m\u001b[1m7:0.2 \u001b(B\u001b[m\u001b[33m\u001b[40m" + userhostdir + " \u001b[37m\u001b[100m 0:bash* \u001b[31m\u001b[40m 2021-01-13 20:21:00 UTC\u001b(B\u001b[m\u001b[15;59H\u001b[?12l\u001b[?25h"],
[18.87006, "o", "logout\u001b[16;42H"],
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[18.890623, "o", "\r\u001b[K" + prompt_txt],
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[20.272377, "o", prompt_txt],
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[20.894014, "o", "e"],
[21.149792, "o", "c"],
[21.398092, "o", "h"],
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],
'text' : [
"Pozwalają one na uzyskanie wielu okien konsoli (terminali) na pojedynczym terminalu. <m> Mogą one być wyświetlane jedno po drugim albo obok siebie zarówno w pionie jak i poziomie. <m>"
"Innym zastosowaniem multiplekserów terminala jest możliwość <m> odłączenia się od aktywnej sesji terminala, <m> wylogowanie się z systemu (na przykład zdalnego) <m> i powrót po pewnym czasie do takiej sesji, <m> w ramach której ciągle mogły działać uruchomione w niej programy. <m>"
"Multiplexery terminala oferują także dostęp do historii <m> tego co było wypisywane na terminalu, <m> co pozwala między innymi na zapoznanie się z wynikiem działania <m> programów z okresu kiedy byliśmy odłączeni od sesji. <m>"
"W zależności od używanego multipleksera terminala <m> mamy różne możliwości konfiguracji tych programów. <m> Najpopularniejszymi przykładami jest screen i <tmux>[te mux]. <m> W tym wypadku prezentowany jest <tmux>[te mux]. <m>"
]
}
]
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0
| 7
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aeba63a08181bbe85ef05732ca74130596770399
| 3,536
|
py
|
Python
|
mkl_fft/tests/test_fft.py
|
LCAV/mklfft
|
c2d3901571fded09ea7394f30224fbb9b7352f26
|
[
"Unlicense"
] | 1
|
2017-10-20T03:19:59.000Z
|
2017-10-20T03:19:59.000Z
|
mkl_fft/tests/test_fft.py
|
LCAV/mkl_fft
|
c2d3901571fded09ea7394f30224fbb9b7352f26
|
[
"Unlicense"
] | 2
|
2017-01-21T23:16:29.000Z
|
2017-12-11T14:41:11.000Z
|
mkl_fft/tests/test_fft.py
|
LCAV/mklfft
|
c2d3901571fded09ea7394f30224fbb9b7352f26
|
[
"Unlicense"
] | 5
|
2017-01-22T18:02:29.000Z
|
2019-01-27T10:33:31.000Z
|
from __future__ import division
import time
import numpy as np
from mkl_fft import fft, ifft
from unittest import TestCase
class TestMKLFFT(TestCase):
def test_fft(self):
n_tests = 1000
n_max = 2
d_max = 100
norm = 'ortho'
inplace = True
scrambled = True
passed = True
for i in range(n_tests):
ndim = np.random.randint(1,high=n_max+1)
axis = np.random.randint(0,high=ndim)
dims = np.random.randint(1,high=d_max+1,size=(ndim))
x = np.random.normal(size=dims) + 1j*np.random.normal(size=dims)
if inplace:
X = x.copy()
fft(X, axis=axis, norm=norm, out=X, scrambled=scrambled)
else:
X = fft(x, axis=axis, norm=norm, scrambled=scrambled)
Y = np.fft.fft(x, axis=axis, norm=norm)
x_ = ifft(X, axis=axis, norm=norm)
if not np.allclose(X,Y) and not scrambled:
print(' Failed forward with ndim=%d axis=%d dims=' % (ndim, axis), dims)
passed = False
if not np.allclose(x, x_):
print(' Failed backward with ndim=%d axis=%d dims=' % (ndim, axis), dims)
passed = False
self.assertTrue(passed)
def test_fft_padding(self):
n_tests = 1000
n_max = 2
d_max = 100
norm = None
inplace = False
scrambled = False
passed = True
for i in range(n_tests):
ndim = np.random.randint(1,high=n_max+1)
axis = np.random.randint(0,high=ndim)
dims = np.random.randint(1,high=d_max+1,size=(ndim))
x = np.random.normal(size=dims) + 1j*np.random.normal(size=dims)
X = fft(x, axis=axis, n=2*dims[axis])
Y = np.fft.fft(x, axis=axis, n=2*dims[axis])
x_ = ifft(X, axis=axis, norm=norm)
x__ = np.swapaxes(x_, axis, -1)[...,:dims[axis]]
x_ = np.swapaxes(x__, -1, axis)
if not np.allclose(X,Y) and not scrambled:
print(' Failed forward with ndim=%d axis=%d dims=' % (ndim, axis), dims)
passed = False
if not np.allclose(x, x_):
print(' Failed backward with ndim=%d axis=%d dims=' % (ndim, axis), dims)
passed = False
self.assertTrue(passed)
def test_fft_truncation(self):
n_tests = 1000
n_max = 2
d_max = 100
norm = None
inplace = False
scrambled = False
passed = True
for i in range(n_tests):
ndim = np.random.randint(1,high=n_max+1)
axis = np.random.randint(0,high=ndim)
dims = np.random.randint(2,high=d_max+1,size=(ndim))
x = np.random.normal(size=dims) + 1j*np.random.normal(size=dims)
x_trunc = np.swapaxes(x, axis, -1)[...,:dims[axis]//2]
x_trunc = np.swapaxes(x_trunc, -1, axis)
X = fft(x, axis=axis, n=dims[axis]//2)
Y = np.fft.fft(x, axis=axis, n=dims[axis]//2)
x_ = ifft(X, axis=axis, norm=norm)
if not np.allclose(X,Y) and not scrambled:
print(' Failed forward with ndim=%d axis=%d dims=' % (ndim, axis), dims)
passed = False
if not np.allclose(x_trunc, x_):
print(' Failed backward with ndim=%d axis=%d dims=' % (ndim, axis), dims)
passed = False
self.assertTrue(passed)
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| 90
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0
| 7
|
4e18a0e704768dfdfd9b5336f731ec04f814bd9f
| 228
|
py
|
Python
|
DLtorch/objective/__init__.py
|
A-LinCui/DLtorch
|
27bfe18d9298fad99d6eda4508afa707e35b898f
|
[
"MIT"
] | 3
|
2020-08-28T15:43:48.000Z
|
2020-08-29T11:34:42.000Z
|
DLtorch/objective/__init__.py
|
zhaojb17/DLtorch
|
27bfe18d9298fad99d6eda4508afa707e35b898f
|
[
"MIT"
] | null | null | null |
DLtorch/objective/__init__.py
|
zhaojb17/DLtorch
|
27bfe18d9298fad99d6eda4508afa707e35b898f
|
[
"MIT"
] | null | null | null |
# -*- coding:utf-8 -*-
from DLtorch.objective.base import *
from DLtorch.objective.classification_objective import *
from DLtorch.objective.classification_adversarial_objective import *
from DLtorch.objective.adversary import *
| 38
| 68
| 0.820175
| 26
| 228
| 7.076923
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| 228
| 6
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| 38
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0
| 8
|
4e3cebc96d000469d3f54de9e801f4554e1175f9
| 41,678
|
py
|
Python
|
src/lungsimpost/imports_and_exports.py
|
LungNoodle/lungsim-post
|
9e7001937cf66990b55d7ba0cf17f48935a65a29
|
[
"Apache-2.0"
] | null | null | null |
src/lungsimpost/imports_and_exports.py
|
LungNoodle/lungsim-post
|
9e7001937cf66990b55d7ba0cf17f48935a65a29
|
[
"Apache-2.0"
] | 1
|
2020-01-14T11:31:22.000Z
|
2020-01-14T11:31:22.000Z
|
src/lungsimpost/imports_and_exports.py
|
LungNoodle/lungsim-post
|
9e7001937cf66990b55d7ba0cf17f48935a65a29
|
[
"Apache-2.0"
] | 1
|
2020-06-30T21:42:45.000Z
|
2020-06-30T21:42:45.000Z
|
#!/usr/bin/env python
import numpy as np
from . import lsp_utilities as ut
"""
.. module:: imports_and_exports
:synopsis: Provides mechanisms to import model results from lungsim and to subsequently export analysed data to useful formats to visualise
"""
def export_ex_coords(data, groupname, filename, type):
"""
:Function name: **export_ex_coords**
Exports the x-, y-, z- coordinates of defined data points to the ABI 'ex' format. This could be a .exnode or .exdata file
:param data: A 3xN or 4xN array of N data point coordinates (if 4 then the datapoints are explicitly numbered)
:param groupname: For visualisation a text string gives the points a group name so they can be seperated from others
:param filename: A string defining the file name (no extension)
:param type: A string, either exnode or exdata
:return: Returns a file named filename.exnode or filename.exdata that can subsequently be read into visualisation tools.
"""
data_length = len(
data[0]) # if this is 3 then number nodes or data automatically if 4 then node numbers are given as
# first entry
data_num = len(data)
filename = filename + '.' + type
f = open(filename, 'w')
f.write(" Group name: %s\n" % groupname)
f.write(" #Fields=1\n")
f.write(" 1) coordinates, coordinate, rectangular cartesian, #Components=3\n")
f.write(" x. Value index=1, #Derivatives=0\n")
f.write(" y. Value index=1, #Derivatives=0\n")
f.write(" z. Value index=1, #Derivatives=0\n")
for x in range(0, data_num):
if data_length is 4:
f.write("Node: " "%s\n" % int(data[x][0] + 1))
f.write(" %s\n" % (data[x][1] * 1000.0))
f.write(" %s\n" % (data[x][2] * 1000.0))
f.write(" %s\n" % (data[x][3] * 1000.0))
else:
f.write("Node: " "%s\n" % (x + 1))
f.write(" %s\n" % data[x][0])
f.write(" %s\n" % data[x][1])
f.write(" %s\n" % data[x][2])
f.close()
def export_ex_field(data, groupname, fieldname, filename, type):
'''
:Function name: **export_ex_field**
Exports a field value to the ABI 'ex' format. This could be a .exnode or .exdata file. This function assumes that the data is ordered by node/datapoint number.
:param data: A 1xN array of field values at node or datapoints
:param groupname: For visualisation a text string gives the points a group name so they can be seperated from others
:param fieldname: For visualisation, a text string that defines the name of the field (i.e. 'flow', 'concentration')
:param filename: A string defining the file name (no extension)
:param type: A string, either exnode or exdata
:return: Returns a file named filename.exnode or filename.exdata that can subsequently be read into visualisation tools.
'''
# Exports coordinates to exnode or exdata format
# data = array of data
# groupname = what you want your data to be called in cmgui
# filename = file name without extension
# type = exnode or exdata
# first entry
data_num = len(data)
filename = filename + '.' + type
f = open(filename, 'w')
f.write(" Group name: %s\n" % groupname)
f.write(" #Fields=1\n")
f.write(" 1) %s, coordinate, rectangular cartesian, #Components=1\n" % fieldname)
f.write(" %s. Value index=1, #Derivatives=0\n" % fieldname)
for x in range(0, data_num):
f.write("Node: " "%s\n" % (x + 1))
f.write(" %s\n" % data[x])
f.close()
def export_nodal_rad_field(data, groupname, fieldname, filename, type, nodes, elems):
'''
:Function name: **export_nodal_rad_field**
Description to come
:param data:
:param groupname:
:param fieldname:
:param filename:
:param type:
:param nodes:
:param elems:
:return:
'''
# Exports coordinates to exnode or exdata format
# data = array of data
# groupname = what you want your data to be called in cmgui
# filename = file name without extension
# type = exnode or exdata
# first entry
data_num = len(data)
filename = filename + '.' + type
f = open(filename, 'w')
f.write(" Group name: %s\n" % groupname)
f.write(" #Fields=1\n")
f.write(" 1) %s, coordinate, rectangular cartesian, #Components=1\n" % fieldname)
f.write(" %s. Value index=1, #Derivatives=0\n" % fieldname)
print(len(nodes))
num_per_node = np.zeros(len(nodes))
node_rad = np.zeros(len(nodes))
for x in range(0, data_num):
np1 = elems[x][1]
np2 = elems[x][2]
num_per_node[np1] = num_per_node[np1] + 1.
num_per_node[np2] = num_per_node[np2] + 1.
node_rad[np1] = node_rad[np1] + data[x]
node_rad[np2] = node_rad[np2] + data[x]
for y in range(0, len(nodes)):
node_rad[y] = node_rad[y] / num_per_node[y]
f.write("Node: " "%s\n" % (y + 1))
f.write(" %s\n" % (node_rad[y]))
print(y, node_rad[y])
f.close()
def export_exelem_1d(data, groupname, filename):
'''
:Function name: **export_elem_1d**
Description to come.
:param data:
:param groupname:
:param filename:
:return:
'''
# Exports element locations to exelem format
# data = array of data
# groupname = what you want your data to be called in cmgui
# filename = file name without extension
data_num = len(data)
filename = filename + '.exelem'
f = open(filename, 'w')
f.write(" Group name: %s\n" % groupname)
f.write(" Shape. Dimension=1\n")
f.write(" #Scale factor sets= 1\n")
f.write(" l.Lagrange, #Scale factors= 2\n")
f.write(" #Nodes= 2\n")
f.write(" #Fields=1\n")
f.write(" 1) coordinates, coordinate, rectangular cartesian, #Components=3\n")
f.write(" x. l.Lagrange, no modify, standard node based.\n")
f.write(" #Nodes= 2\n")
f.write(" 1. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 1\n")
f.write(" 2. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 2\n")
f.write(" y. l.Lagrange, no modify, standard node based.\n")
f.write(" #Nodes= 2\n")
f.write(" 1. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 1\n")
f.write(" 2. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 2\n")
f.write(" z. l.Lagrange, no modify, standard node based.\n")
f.write(" #Nodes= 2\n")
f.write(" 1. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 1\n")
f.write(" 2. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 2\n")
for x in range(0, data_num):
f.write(" Element: %s 0 0\n" % int(data[x][0] + 1))
f.write(" Nodes:\n")
f.write(" %s %s\n" % (int(data[x][1] + 1), int(data[x][2] + 1)))
f.write(" Scale factors:\n")
f.write(" 0.1000000000000000E+01 0.1000000000000000E+01\n")
f.close()
def export_exelem_3d_linear(data, groupname, filename):
'''
:Function name: **export_exxelem_3d_linear**
Description to come.
:param data:
:param groupname:
:param filename:
:return:
'''
# Exports element locations to exelem format
# data = array of data
# groupname = what you want your data to be called in cmgui
# filename = file name without extension
data_num = len(data)
filename = filename + '.exelem'
f = open(filename, 'w')
f.write(" Group name: %s\n" % groupname)
f.write(" Shape. Dimension=3 line*line*line\n")
f.write(" #Scale factor sets= 0\n")
f.write(" #Nodes= 8\n")
f.write(" #Fields=1\n")
f.write(" 1) coordinates, coordinate, rectangular cartesian, #Components=3\n")
f.write(" x. l.Lagrange*l.Lagrange*l.Lagrange, no modify, standard node based.\n")
f.write(" #Nodes= 8\n")
f.write(" 1. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 2. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 3. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 4. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 5. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 6. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 7. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 8. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" y. l.Lagrange*l.Lagrange*l.Lagrange, no modify, standard node based.\n")
f.write(" #Nodes= 8\n")
f.write(" 1. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 2. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 3. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 4. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 5. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 6. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 7. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 8. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" z. l.Lagrange*l.Lagrange*l.Lagrange, no modify, standard node based.\n")
f.write(" #Nodes= 8\n")
f.write(" 1. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 2. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 3. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 4. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 5. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 6. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 7. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 8. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
for x in range(0, data_num):
f.write(" Element: %s 0 0\n" % int(data[x][0] + 1))
f.write(" Nodes:")
f.write(
" %s %s %s %s %s %s %s %s\n" % (
int(data[x][1] + 1), int(data[x][2] + 1), int(data[x][3] + 1), int(data[x][4] + 1), int(data[x][5] + 1),
int(data[x][6] + 1), int(data[x][7] + 1), int(data[x][8] + 1)))
f.close()
def export_exelem_3d_linear_list(data, list, groupname, filename):
'''
:Function name: **export_exxelem_3d_linear_list**
Description to come.
:param data:
:param list:
:param groupname:
:param filename:
:return:
'''
# Exports element locations to exelem format
# data = array of data
# groupname = what you want your data to be called in cmgui
# filename = file name without extension
data_num = len(list)
filename = filename + '.exelem'
f = open(filename, 'w')
f.write(" Group name: %s\n" % groupname)
f.write(" Shape. Dimension=3 line*line*line\n")
f.write(" #Scale factor sets= 0\n")
f.write(" #Nodes= 8\n")
f.write(" #Fields=1\n")
f.write(" 1) coordinates, coordinate, rectangular cartesian, #Components=3\n")
f.write(" x. l.Lagrange*l.Lagrange*l.Lagrange, no modify, standard node based.\n")
f.write(" #Nodes= 8\n")
f.write(" 1. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 2. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 3. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 4. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 5. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 6. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 7. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 8. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" y. l.Lagrange*l.Lagrange*l.Lagrange, no modify, standard node based.\n")
f.write(" #Nodes= 8\n")
f.write(" 1. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 2. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 3. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 4. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 5. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 6. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 7. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 8. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" z. l.Lagrange*l.Lagrange*l.Lagrange, no modify, standard node based.\n")
f.write(" #Nodes= 8\n")
f.write(" 1. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 2. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 3. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 4. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 5. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 6. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 7. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 8. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
for x in range(0, data_num):
y = list[x]
f.write(" Element: %s 0 0\n" % int(data[x][0] + 1))
f.write(" Nodes:")
f.write(
" %s %s %s %s %s %s %s %s\n" % (
int(data[y][1] + 1), int(data[y][2] + 1), int(data[y][3] + 1), int(data[y][4] + 1),
int(data[y][5] + 1),
int(data[y][6] + 1), int(data[y][7] + 1), int(data[y][8] + 1)))
f.close()
def export_exfield_3d_linear(data, groupname, fieldname, filename):
'''
:Function name: **export_exfield_3d_linear**
Description to come.
:param data:
:param groupname:
:param fieldname:
:param filename:
:return:
'''
# Exports element fields to exelem format
# data = array of data
# groupname = what you want your data to be called in cmgui
# filename = file name without extension
data_num = len(data)
filename = filename + '.exelem'
f = open(filename, 'w')
f.write(" Group name: %s\n" % groupname)
f.write(" Shape. Dimension=3 line*line*line\n")
f.write(" #Scale factor sets= 0\n")
f.write(" #Nodes= 0\n")
f.write(" #Fields=1\n")
f.write(" 1) %s, field, rectangular cartesian, #Components=1\n" % fieldname)
f.write(" %s. l.Lagrange*l.Lagrange*l.Lagrange, no modify, grid based.\n" % fieldname)
f.write(" #xi1=1 \n")
f.write(" #xi2=1 \n")
f.write(" #xi3=1 \n")
for x in range(0, data_num):
f.write(" Element: %s 0 0\n" % int(x + 1))
f.write(" Values:\n")
f.write(
" %s %s %s %s %s %s %s %s\n" % (
data[x], data[x], data[x], data[x], data[x], data[x], data[x], data[x]))
f.close()
def export_exfield_3d_linear_list(data, list, groupname, fieldname, filename):
'''
:Function name: **export_exxelem_3d_linear_list**
Description to come.
:param data:
:param list:
:param groupname:
:param fieldname:
:param filename:
:return:
'''
# Exports element fields to exelem format when data is defined at a specified list of nodes
# data = array of data
# groupname = what you want your data to be called in cmgui
# filename = file name without extension
data_num = len(list)
filename = filename + '.exelem'
f = open(filename, 'w')
f.write(" Group name: %s\n" % groupname)
f.write(" Shape. Dimension=3 line*line*line\n")
f.write(" #Scale factor sets= 0\n")
f.write(" #Nodes= 0\n")
f.write(" #Fields=1\n")
f.write(" 1) %s, field, rectangular cartesian, #Components=1\n" % fieldname)
f.write(" %s. l.Lagrange*l.Lagrange*l.Lagrange, no modify, grid based.\n" % fieldname)
f.write(" #xi1=1 \n")
f.write(" #xi2=1 \n")
f.write(" #xi3=1 \n")
for x in range(0, data_num):
exp_data = data[list[x]]
f.write(" Element: %s 0 0\n" % int(x + 1))
f.write(" Values:\n")
f.write(
" %s %s %s %s %s %s %s %s\n" % (
exp_data, exp_data, exp_data, exp_data, exp_data, exp_data, exp_data, exp_data))
f.close()
def export_exfield_1d_linear(data, groupname, fieldname, filename):
'''
:Function name: **export_exfield_1d_linear**
Description to come.
:param data:
:param groupname:
:param fieldname:
:param filename:
:return:
'''
# Exports element locations to exelem format
# data = array of data
# groupname = what you want your data to be called in cmgui
# filename = file name without extension
data_num = len(data)
filename = filename + '.exelem'
f = open(filename, 'w')
f.write(" Group name: %s\n" % groupname)
f.write(" Shape. Dimension=1\n")
f.write(" #Scale factor sets= 0\n")
f.write(" #Nodes= 0\n")
f.write(" #Fields=1\n")
f.write(" 1) %s, field, rectangular cartesian, #Components=1\n" % fieldname)
f.write(" %s. l.Lagrange, no modify, grid based.\n" % fieldname)
f.write(" #xi1=1 \n")
for x in range(0, data_num):
f.write(" Element: %s 0 0\n" % int(x + 1))
f.write(" Values:\n")
f.write(
" %s %s\n" % (
data[x], data[x]))
f.close()
def import_exnode_tree(filename):
'''
:Function name: **import_exnode_tree**
Imports an exnode output from a lungsim model, which has a branching tree structure. This could be a lung airway or vascular tree (or any other tree structure).
:param filename: The full filename (including extension) that you wish to import.
:return: Arrays containing the total number of nodes in the tree stucture, and node number and coordinates of that node, plus any nodal fields associated with that node (coordinates are assumed to be included).
'''
# count nodes for check of correct number for the user, plus use in future arrays
count_node = 0
# Read in file header to find number of fields
with open(filename) as f:
while 1:
line = f.readline()
line_type = line.split()[0]
line_type1 = line.split("=")#str.split(line)[0]
#print(line_type1,line_type1[0])#,int(line_type1[1]))
if(line_type1[0] == ' #Fields'):
num_fields = int(line_type1[1])
break
elif not line:
break #We are done with the file
elif (line_type == 'Node:'): #We should be done with the preamble
break
num_fields = 3+num_fields#first field is assumed to be coordinates and the rest nodal fields, plus one field for node number
# Initialise array of node numbers and values
node_array = np.empty((0, num_fields))
# open file
with open(filename) as f:
# loop through lines of file
while 1:
line = f.readline()
if not line:
break # exit if done with all lines
# identifying whether there is a node defined here
line_type = str.split(line)[0]
if (line_type == 'Node:'): # line defines new node
count_node = count_node + 1 # count the node
count_atribute = 0 # intitalise attributes of the node (coordinates, radius)
node_array = np.append(node_array, np.zeros((1, num_fields)),
axis=0) # initialise a list of attributes for each node
node_array[count_node - 1][count_atribute] = int(str.split(line)[1]) - 1
else:
line_num = ut.is_float(line_type) # checking if the line is a number
if (line_num): # it is a number
if not "index" in line:
count_atribute = count_atribute + 1
node_array[count_node - 1][count_atribute] = float(str.split(line)[0])
#The below is just a catch all in case there are not as many fields as expected
if ((count_atribute+1) < num_fields):
node_array = np.delete(node_array, np.s_[count_atribute + 1:num_fields], axis=1)
total_nodes = count_node
return {'total_nodes': total_nodes, 'nodes': node_array, 'num_fields': num_fields}
def import_exelem_tree(filename):
'''
:Function name: **import_exelem_tree**
Imports an exelem output from a lungsim model, which has a branching tree structure. This could be a lung airway or vascular tree (or any other tree structure).
:param filename: The full filename (including extension) that you wish to import.
:return: Arrays containing the total number of elements in the tree stucture, and element number and the two nodes associated with that element
'''
# count element for check of correct number for the user, plus use in future arrays
count_el = 0
# Initialise array of el numbers and values
el_array = np.empty((0, 3), dtype=int)
# open file
with open(filename) as f:
# loop through lines of file
while 1:
line = f.readline()
if not line:
break # exit if done with all lines
# identifying whether there is an element defined here
line_type = str.split(line)[0]
if (line_type == 'Element:'): # line dedfines new el
count_el = count_el + 1 # count the el
count_atribute = 0 # intitalise attributes of the el (1st el, 2nd el)
el_array = np.append(el_array, np.zeros((1, 3), dtype=int), axis=0)
el_array[count_el - 1][count_atribute] = int(str.split(line)[1]) - 1
else:
line_num = ut.is_float(line_type) # checking if the line is a number
if (line_num): # it is a number
if "#Values" not in line and "l.Lagrange" not in line and "0.1000000000000000E+01" not in line:
count_atribute = count_atribute + 1
el_array[count_el - 1][count_atribute] = float(str.split(line)[0]) - 1 # first node of element
el_array[count_el - 1][count_atribute + 1] = float(
str.split(line)[1]) - 1 # 2nd node of element
total_el = count_el
return {'total_elems': total_el, 'elems': el_array}
def export_exelem_3d_quadratic(data, groupname, filename):
'''
:Function name: **export_exelem_3d_quadratic**
Description to come.
:param data:
:param groupname:
:param filename:
:return:
'''
# Exports element locations to exelem format
# data = array of data
# groupname = what you want your data to be called in cmgui
# filename = file name without extension
data_num = len(data)
filename = filename + '.exelem'
f = open(filename, 'w')
f.write(" Group name: %s\n" % groupname)
f.write(" Shape. Dimension=3\n")
f.write(" #Scale factor sets= 1\n")
f.write(" q.Lagrange*q.Lagrange*q.Lagrange, #Scale factors=27\n")
f.write(" #Nodes= 27\n")
f.write(" #Fields=1\n")
f.write(" 1) coordinates, coordinate, rectangular cartesian, #Components=3\n")
f.write(" x. q.Lagrange*q.Lagrange*q.Lagrange, no modify, standard node based.\n")
f.write(" #Nodes= 27\n")
f.write(" 1. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 2. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 3. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 4. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 5. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 6. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 7. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 8. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 9. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 10. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 11. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 12. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 13. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 14. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 15. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 16. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 17. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 18. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 19. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 20. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 21. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 22. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 23. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 24. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 25. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 26. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 27. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" y. q.Lagrange*q.Lagrange*q.Lagrange, no modify, standard node based.\n")
f.write(" #Nodes= 27\n")
f.write(" 1. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 2. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 3. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 4. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 5. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 6. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 7. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 8. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 9. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 10. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 11. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 12. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 13. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 14. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 15. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 16. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 17. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 18. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 19. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 20. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 21. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 22. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 23. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 24. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 25. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 26. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 27. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" z. q.Lagrange*q.Lagrange*q.Lagrange, no modify, standard node based.\n")
f.write(" #Nodes= 27\n")
f.write(" 1. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 2. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 3. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 4. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 5. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 6. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 7. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 8. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 9. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 10. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 11. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 12. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 13. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 14. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 15. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 16. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 17. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 18. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 19. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 20. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 21. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 22. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 23. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 24. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 25. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 26. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
f.write(" 27. #Values=1\n")
f.write(" Value indices: 1\n")
f.write(" Scale factor indices: 0\n")
for x in range(0, data_num):
f.write(" Element: %s 0 0\n" % int(data[x][0] + 1))
f.write(" Nodes:")
f.write(
" %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s \n" % (
int(data[x][1] + 1), int(data[x][2] + 1), int(data[x][3] + 1), int(data[x][4] + 1), int(data[x][5] + 1),
int(data[x][6] + 1), int(data[x][7] + 1), int(data[x][8] + 1), int(data[x][9] + 1),
int(data[x][10] + 1), int(data[x][11] + 1), int(data[x][12] + 1), int(data[x][13] + 1),
int(data[x][14] + 1), int(data[x][15] + 1), int(data[x][16] + 1), int(data[x][17] + 1),
int(data[x][18] + 1), int(data[x][19] + 1), int(data[x][20] + 1), int(data[x][21] + 1),
int(data[x][22] + 1), int(data[x][23] + 1), int(data[x][24] + 1), int(data[x][25] + 1),
int(data[x][26] + 1), int(data[x][27] + 1)))
f.write("Scale factors:\n")
f.write(
"1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00 1.0000000000000000E+00\n")
f.close()
def export_exfield_3d_quadratic(data, groupname, fieldname, filename):
'''
:Function name: **import_exfield_3d quadratic**
Description to come.
:param data:
:param groupname:
:param fieldname:
:param filename:
:return:
'''
# Exports element fields to exelem format
# data = array of data
# groupname = what you want your data to be called in cmgui
# filename = file name without extension
data_num = len(data)
filename = filename + '.exelem'
f = open(filename, 'w')
f.write(" Group name: %s\n" % groupname)
f.write(" Shape. Dimension=3 line*line*line\n")
f.write(" #Scale factor sets= 0\n")
f.write(" #Nodes= 0\n")
f.write(" #Fields=1\n")
f.write(" 1) %s, field, rectangular cartesian, #Components=1\n" % fieldname)
f.write(" %s. l.Lagrange*l.Lagrange*l.Lagrange, no modify, grid based.\n" % fieldname)
f.write(" #xi1=1 \n")
f.write(" #xi2=1 \n")
f.write(" #xi3=1 \n")
for x in range(0, data_num):
f.write(" Element: %s 0 0\n" % int(x + 1))
f.write(" Values:\n")
f.write(
" %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s\n" % (
data[x], data[x], data[x], data[x], data[x], data[x], data[x], data[x], data[x], data[x],
data[x], data[x], data[x], data[x], data[x], data[x], data[x], data[x], data[x], data[x],
data[x], data[x], data[x], data[x], data[x], data[x], data[x]))
f.close()
| 43.23444
| 689
| 0.522986
| 5,972
| 41,678
| 3.615539
| 0.0499
| 0.152001
| 0.156262
| 0.108929
| 0.86759
| 0.853511
| 0.835217
| 0.816506
| 0.80164
| 0.794137
| 0
| 0.054565
| 0.324152
| 41,678
| 963
| 690
| 43.279335
| 0.711978
| 0.158285
| 0
| 0.852982
| 0
| 0.020804
| 0.497859
| 0.031841
| 0
| 0
| 0
| 0
| 0
| 1
| 0.018031
| false
| 0
| 0.005548
| 0
| 0.026352
| 0.002774
| 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
|
9d9c55034409da0b2135fa2091febf055b318519
| 2,309
|
py
|
Python
|
container_service_extension/pksclient/client/v1beta/__init__.py
|
YiouZhu1010/container-service-extension
|
f36bc250d226609b9a64e99073bb7a752ffb9f9b
|
[
"BSD-2-Clause"
] | 1
|
2019-02-22T22:10:02.000Z
|
2019-02-22T22:10:02.000Z
|
container_service_extension/pksclient/client/v1beta/__init__.py
|
YiouZhu1010/container-service-extension
|
f36bc250d226609b9a64e99073bb7a752ffb9f9b
|
[
"BSD-2-Clause"
] | null | null | null |
container_service_extension/pksclient/client/v1beta/__init__.py
|
YiouZhu1010/container-service-extension
|
f36bc250d226609b9a64e99073bb7a752ffb9f9b
|
[
"BSD-2-Clause"
] | null | null | null |
# coding: utf-8
# flake8: noqa
"""
PKS
PKS API # noqa: E501
OpenAPI spec version: 1.1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
# Had to comment few of the imports below from the actual swagger-generated
# code, as they have been moved to respective v1 and v1beta packages. Chose
# not to delete them for any future reference.
# import apis into sdk package
# from container_service_extension.pksclient.api.v1beta.cluster_api import ClusterApi
# from container_service_extension.pksclient.api.v1beta.profile_api import ProfileApi
# from container_service_extension.pksclient.api.v1beta.quota_api import QuotaApi
# from container_service_extension.pksclient.api.v1beta.usage_api import UsageApi
# import ApiClient
from container_service_extension.pksclient.client.v1beta.api_client import ApiClient
from container_service_extension.pksclient.client.v1beta.configuration import Configuration
from container_service_extension.pksclient.client.v1beta.rest import ApiException
# import models into sdk package
# from container_service_extension.pksclient.models.v1beta.az import AZ
# from container_service_extension.pksclient.models.v1beta.cluster import Cluster
# from container_service_extension.pksclient.models.v1beta.cluster_parameters import ClusterParameters
# from container_service_extension.pksclient.models.v1beta.cluster_request import ClusterRequest
# from container_service_extension.pksclient.models.v1beta.cluster_usage import ClusterUsage
# from container_service_extension.pksclient.models.v1beta.compute_profile import ComputeProfile
# from container_service_extension.pksclient.models.v1beta.compute_profile_parameters import ComputeProfileParameters
# from container_service_extension.pksclient.models.v1beta.compute_profile_request import ComputeProfileRequest
# from container_service_extension.pksclient.models.v1beta.error_response import ErrorResponse
# from container_service_extension.pksclient.models.v1beta.quota import Quota
# from container_service_extension.pksclient.models.v1beta.quota_limit import QuotaLimit
# from container_service_extension.pksclient.models.v1beta.usage import Usage
# from container_service_extension.pksclient.models.v1beta.usage_totals import UsageTotals
| 50.195652
| 117
| 0.854049
| 293
| 2,309
| 6.522184
| 0.31058
| 0.136054
| 0.209315
| 0.303506
| 0.594453
| 0.594453
| 0.594453
| 0.457352
| 0.168498
| 0
| 0
| 0.014252
| 0.08835
| 2,309
| 45
| 118
| 51.311111
| 0.893587
| 0.834127
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
9da0f7d71ba76c521b794e5bc53caad04ec1cf26
| 1,321
|
py
|
Python
|
CreateEffekseerFiles.py
|
OmaeY/EffekseerForUE4
|
eaa64b15d691d26219133c64a9fd16de0d39ffa3
|
[
"MIT"
] | null | null | null |
CreateEffekseerFiles.py
|
OmaeY/EffekseerForUE4
|
eaa64b15d691d26219133c64a9fd16de0d39ffa3
|
[
"MIT"
] | null | null | null |
CreateEffekseerFiles.py
|
OmaeY/EffekseerForUE4
|
eaa64b15d691d26219133c64a9fd16de0d39ffa3
|
[
"MIT"
] | null | null | null |
import shutil
import os
from distutils.dir_util import copy_tree
copy_tree("../Effekseer/Dev/Cpp/Effekseer", "./Plugins/Effekseer/Source/Effekseer/Private/Effekseer")
copy_tree("../Effekseer/Dev/Cpp/EffekseerRendererCommon", "./Plugins/Effekseer/Source/Effekseer/Private/EffekseerRendererCommon")
copy_tree("../Effekseer/Dev/Cpp/EffekseerMaterial", "./Plugins/Effekseer/Source/EffekseerEd/Private/EffekseerMaterial")
os.remove("./Plugins/Effekseer/Source/Effekseer/Private/Effekseer/CMakeLists.txt")
os.remove("./Plugins/Effekseer/Source/Effekseer/Private/EffekseerRendererCommon/CMakeLists.txt")
os.remove("./Plugins/Effekseer/Source/Effekseer/Private/EffekseerRendererCommon/EffekseerRenderer.DDSTextureLoader.cpp")
os.remove("./Plugins/Effekseer/Source/Effekseer/Private/EffekseerRendererCommon/EffekseerRenderer.DDSTextureLoader.h")
os.remove("./Plugins/Effekseer/Source/Effekseer/Private/EffekseerRendererCommon/EffekseerRenderer.TGATextureLoader.cpp")
os.remove("./Plugins/Effekseer/Source/Effekseer/Private/EffekseerRendererCommon/EffekseerRenderer.TGATextureLoader.h")
os.remove("./Plugins/Effekseer/Source/Effekseer/Private/EffekseerRendererCommon/EffekseerRenderer.PngTextureLoader.cpp")
os.remove("./Plugins/Effekseer/Source/Effekseer/Private/EffekseerRendererCommon/EffekseerRenderer.PngTextureLoader.h")
| 69.526316
| 129
| 0.844815
| 133
| 1,321
| 8.353383
| 0.195489
| 0.158416
| 0.217822
| 0.279028
| 0.855086
| 0.792979
| 0.687669
| 0.646265
| 0.646265
| 0.646265
| 0
| 0
| 0.019682
| 1,321
| 18
| 130
| 73.388889
| 0.857915
| 0
| 0
| 0
| 0
| 0
| 0.822104
| 0.822104
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.214286
| 0
| 0.214286
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
9dc0e1ebd5c32f6f862f24177e24d1270bbf16e6
| 13,097
|
py
|
Python
|
src/buildstream/testing/_sourcetests/mirror.py
|
doraskayo/buildstream
|
1c72d4342ae7df360808de22c5e49f55dbb6bec6
|
[
"Apache-2.0"
] | null | null | null |
src/buildstream/testing/_sourcetests/mirror.py
|
doraskayo/buildstream
|
1c72d4342ae7df360808de22c5e49f55dbb6bec6
|
[
"Apache-2.0"
] | null | null | null |
src/buildstream/testing/_sourcetests/mirror.py
|
doraskayo/buildstream
|
1c72d4342ae7df360808de22c5e49f55dbb6bec6
|
[
"Apache-2.0"
] | null | null | null |
#
# Copyright (C) 2018 Codethink Limited
# Copyright (C) 2019 Bloomberg Finance LP
#
# 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.
#
# Pylint doesn't play well with fixtures and dependency injection from pytest
# pylint: disable=redefined-outer-name
import os
import pytest
from buildstream import _yaml
from buildstream.exceptions import ErrorDomain
from .._utils import generate_junction
from .. import create_repo
from .. import cli # pylint: disable=unused-import
from .utils import kind # pylint: disable=unused-import
# Project directory
TOP_DIR = os.path.dirname(os.path.realpath(__file__))
DATA_DIR = os.path.join(TOP_DIR, "project")
def _set_project_mirrors_and_aliases(project_path, mirrors, aliases):
project_conf_path = os.path.join(project_path, "project.conf")
project_conf = _yaml.roundtrip_load(project_conf_path)
project_conf["mirrors"] = mirrors
project_conf["aliases"].update(aliases)
_yaml.roundtrip_dump(project_conf, project_conf_path)
def _set_project_includes_and_aliases(project_path, includes, aliases):
project_conf_path = os.path.join(project_path, "project.conf")
project_conf = _yaml.roundtrip_load(project_conf_path)
project_conf["aliases"].update(aliases)
project_conf["(@)"] = includes
_yaml.roundtrip_dump(project_conf, project_conf_path)
@pytest.mark.datafiles(DATA_DIR)
def test_mirror_fetch(cli, tmpdir, datafiles, kind):
project_dir = str(datafiles)
bin_files_path = os.path.join(project_dir, "files", "bin-files", "usr")
dev_files_path = os.path.join(project_dir, "files", "dev-files", "usr")
upstream_repodir = os.path.join(str(tmpdir), "upstream")
mirror_repodir = os.path.join(str(tmpdir), "mirror")
element_dir = os.path.join(project_dir, "elements")
# Create repo objects of the upstream and mirror
upstream_repo = create_repo(kind, upstream_repodir)
upstream_repo.create(bin_files_path)
mirror_repo = upstream_repo.copy(mirror_repodir)
upstream_ref = upstream_repo.create(dev_files_path)
element = {"kind": "import", "sources": [upstream_repo.source_config(ref=upstream_ref)]}
element_name = "test.bst"
element_path = os.path.join(element_dir, element_name)
full_repo = element["sources"][0]["url"]
upstream_map, repo_name = os.path.split(full_repo)
alias = "foo-" + kind
aliased_repo = alias + ":" + repo_name
element["sources"][0]["url"] = aliased_repo
full_mirror = mirror_repo.source_config()["url"]
mirror_map, _ = os.path.split(full_mirror)
_yaml.roundtrip_dump(element, element_path)
_set_project_mirrors_and_aliases(
project_dir,
[{"name": "middle-earth", "aliases": {alias: [mirror_map + "/"],},},],
{alias: upstream_map + "/"},
)
# No obvious ways of checking that the mirror has been fetched
# But at least we can be sure it succeeds
result = cli.run(project=project_dir, args=["source", "fetch", element_name])
result.assert_success()
@pytest.mark.datafiles(DATA_DIR)
def test_mirror_fetch_upstream_absent(cli, tmpdir, datafiles, kind):
project_dir = str(datafiles)
dev_files_path = os.path.join(project_dir, "files", "dev-files", "usr")
upstream_repodir = os.path.join(project_dir, "upstream")
mirror_repodir = os.path.join(str(tmpdir), "mirror")
element_dir = os.path.join(project_dir, "elements")
# Create repo objects of the upstream and mirror
upstream_repo = create_repo(kind, upstream_repodir)
ref = upstream_repo.create(dev_files_path)
mirror_repo = upstream_repo.copy(mirror_repodir)
element = {"kind": "import", "sources": [upstream_repo.source_config(ref=ref)]}
element_name = "test.bst"
element_path = os.path.join(element_dir, element_name)
full_repo = element["sources"][0]["url"]
_, repo_name = os.path.split(full_repo)
alias = "foo-" + kind
aliased_repo = alias + ":" + repo_name
element["sources"][0]["url"] = aliased_repo
full_mirror = mirror_repo.source_config()["url"]
mirror_map, _ = os.path.split(full_mirror)
_yaml.roundtrip_dump(element, element_path)
_set_project_mirrors_and_aliases(
project_dir,
[{"name": "middle-earth", "aliases": {alias: [mirror_map + "/"]},},],
{alias: "http://www.example.com"},
)
result = cli.run(project=project_dir, args=["source", "fetch", element_name])
result.assert_success()
@pytest.mark.datafiles(DATA_DIR)
def test_mirror_from_includes(cli, tmpdir, datafiles, kind):
project_dir = str(datafiles)
bin_files_path = os.path.join(project_dir, "files", "bin-files", "usr")
upstream_repodir = os.path.join(str(tmpdir), "upstream")
mirror_repodir = os.path.join(str(tmpdir), "mirror")
element_dir = os.path.join(project_dir, "elements")
# Create repo objects of the upstream and mirror
upstream_repo = create_repo(kind, upstream_repodir)
upstream_ref = upstream_repo.create(bin_files_path)
mirror_repo = upstream_repo.copy(mirror_repodir)
element = {"kind": "import", "sources": [upstream_repo.source_config(ref=upstream_ref)]}
element_name = "test.bst"
element_path = os.path.join(element_dir, element_name)
full_repo = element["sources"][0]["url"]
upstream_map, repo_name = os.path.split(full_repo)
alias = "foo-" + kind
aliased_repo = alias + ":" + repo_name
element["sources"][0]["url"] = aliased_repo
full_mirror = mirror_repo.source_config()["url"]
mirror_map, _ = os.path.split(full_mirror)
_yaml.roundtrip_dump(element, element_path)
config_project_dir = str(tmpdir.join("config"))
os.makedirs(config_project_dir, exist_ok=True)
config_project = {"name": "config", "min-version": "2.0"}
_yaml.roundtrip_dump(config_project, os.path.join(config_project_dir, "project.conf"))
extra_mirrors = {"mirrors": [{"name": "middle-earth", "aliases": {alias: [mirror_map + "/"],}}]}
_yaml.roundtrip_dump(extra_mirrors, os.path.join(config_project_dir, "mirrors.yml"))
generate_junction(str(tmpdir.join("config_repo")), config_project_dir, os.path.join(element_dir, "config.bst"))
_set_project_includes_and_aliases(
project_dir, ["config.bst:mirrors.yml"], {alias: upstream_map + "/"},
)
# Now make the upstream unavailable.
os.rename(upstream_repo.repo, "{}.bak".format(upstream_repo.repo))
result = cli.run(project=project_dir, args=["source", "fetch", element_name])
result.assert_success()
@pytest.mark.datafiles(DATA_DIR)
def test_mirror_junction_from_includes(cli, tmpdir, datafiles, kind):
project_dir = str(datafiles)
bin_files_path = os.path.join(project_dir, "files", "bin-files", "usr")
upstream_repodir = os.path.join(str(tmpdir), "upstream")
mirror_repodir = os.path.join(str(tmpdir), "mirror")
element_dir = os.path.join(project_dir, "elements")
# Create repo objects of the upstream and mirror
upstream_repo = create_repo(kind, upstream_repodir)
upstream_ref = upstream_repo.create(bin_files_path)
mirror_repo = upstream_repo.copy(mirror_repodir)
element = {"kind": "junction", "sources": [upstream_repo.source_config(ref=upstream_ref)]}
element_name = "test.bst"
element_path = os.path.join(element_dir, element_name)
full_repo = element["sources"][0]["url"]
upstream_map, repo_name = os.path.split(full_repo)
alias = "foo-" + kind
aliased_repo = alias + ":" + repo_name
element["sources"][0]["url"] = aliased_repo
full_mirror = mirror_repo.source_config()["url"]
mirror_map, _ = os.path.split(full_mirror)
_yaml.roundtrip_dump(element, element_path)
config_project_dir = str(tmpdir.join("config"))
os.makedirs(config_project_dir, exist_ok=True)
config_project = {"name": "config", "min-version": "2.0"}
_yaml.roundtrip_dump(config_project, os.path.join(config_project_dir, "project.conf"))
extra_mirrors = {"mirrors": [{"name": "middle-earth", "aliases": {alias: [mirror_map + "/"],}}]}
_yaml.roundtrip_dump(extra_mirrors, os.path.join(config_project_dir, "mirrors.yml"))
generate_junction(str(tmpdir.join("config_repo")), config_project_dir, os.path.join(element_dir, "config.bst"))
_set_project_includes_and_aliases(project_dir, ["config.bst:mirrors.yml"], {alias: upstream_map + "/"})
# Now make the upstream unavailable.
os.rename(upstream_repo.repo, "{}.bak".format(upstream_repo.repo))
result = cli.run(project=project_dir, args=["source", "fetch", element_name])
result.assert_main_error(ErrorDomain.STREAM, None)
# Now make the upstream available again.
os.rename("{}.bak".format(upstream_repo.repo), upstream_repo.repo)
result = cli.run(project=project_dir, args=["source", "fetch", element_name])
result.assert_success()
@pytest.mark.datafiles(DATA_DIR)
def test_mirror_track_upstream_present(cli, tmpdir, datafiles, kind):
project_dir = str(datafiles)
bin_files_path = os.path.join(project_dir, "files", "bin-files", "usr")
dev_files_path = os.path.join(project_dir, "files", "dev-files", "usr")
upstream_repodir = os.path.join(str(tmpdir), "upstream")
mirror_repodir = os.path.join(str(tmpdir), "mirror")
element_dir = os.path.join(project_dir, "elements")
# Create repo objects of the upstream and mirror
upstream_repo = create_repo(kind, upstream_repodir)
upstream_repo.create(bin_files_path)
mirror_repo = upstream_repo.copy(mirror_repodir)
upstream_ref = upstream_repo.create(dev_files_path)
element = {"kind": "import", "sources": [upstream_repo.source_config(ref=upstream_ref)]}
element_name = "test.bst"
element_path = os.path.join(element_dir, element_name)
full_repo = element["sources"][0]["url"]
upstream_map, repo_name = os.path.split(full_repo)
alias = "foo-" + kind
aliased_repo = alias + ":" + repo_name
element["sources"][0]["url"] = aliased_repo
full_mirror = mirror_repo.source_config()["url"]
mirror_map, _ = os.path.split(full_mirror)
_yaml.roundtrip_dump(element, element_path)
_set_project_mirrors_and_aliases(
project_dir,
[{"name": "middle-earth", "aliases": {alias: [mirror_map + "/"],},},],
{alias: upstream_map + "/"},
)
result = cli.run(project=project_dir, args=["source", "track", element_name])
result.assert_success()
# Tracking tries upstream first. Check the ref is from upstream.
new_element = _yaml.load(element_path, shortname=element_name)
source = new_element.get_sequence("sources").mapping_at(0)
if "ref" in source:
assert source.get_str("ref") == upstream_ref
@pytest.mark.datafiles(DATA_DIR)
def test_mirror_track_upstream_absent(cli, tmpdir, datafiles, kind):
project_dir = str(datafiles)
bin_files_path = os.path.join(project_dir, "files", "bin-files", "usr")
dev_files_path = os.path.join(project_dir, "files", "dev-files", "usr")
upstream_repodir = os.path.join(str(tmpdir), "upstream")
mirror_repodir = os.path.join(str(tmpdir), "mirror")
element_dir = os.path.join(project_dir, "elements")
# Create repo objects of the upstream and mirror
upstream_repo = create_repo(kind, upstream_repodir)
upstream_ref = upstream_repo.create(bin_files_path)
mirror_repo = upstream_repo.copy(mirror_repodir)
mirror_ref = upstream_ref
upstream_ref = upstream_repo.create(dev_files_path)
# Configure to allow tracking mirrors as well as upstream
cli.configure({"track": {"source": "all"}})
element = {"kind": "import", "sources": [upstream_repo.source_config(ref=upstream_ref)]}
element_name = "test.bst"
element_path = os.path.join(element_dir, element_name)
full_repo = element["sources"][0]["url"]
_, repo_name = os.path.split(full_repo)
alias = "foo-" + kind
aliased_repo = alias + ":" + repo_name
element["sources"][0]["url"] = aliased_repo
full_mirror = mirror_repo.source_config()["url"]
mirror_map, _ = os.path.split(full_mirror)
_yaml.roundtrip_dump(element, element_path)
_set_project_mirrors_and_aliases(
project_dir,
[{"name": "middle-earth", "aliases": {alias: [mirror_map + "/"],},},],
{alias: "http://www.example.com"},
)
result = cli.run(project=project_dir, args=["source", "track", element_name])
result.assert_success()
# Check that tracking fell back to the mirror
new_element = _yaml.load(element_path, shortname=element_name)
source = new_element.get_sequence("sources").mapping_at(0)
if "ref" in source:
assert source.get_str("ref") == mirror_ref
| 42.385113
| 115
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| null | 0
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|
0
| 7
|
9ddba3be966dbf21a119042a43a4a1a9e5784350
| 221,921
|
py
|
Python
|
jdcloud_cli/controllers/services/live.py
|
oulinbao/jdcloud-cli
|
ae9998829d5b1a79c69260940f36f645f009afa7
|
[
"Apache-2.0"
] | 95
|
2018-06-05T10:49:32.000Z
|
2019-12-31T11:07:36.000Z
|
jdcloud_cli/controllers/services/live.py
|
oulinbao/jdcloud-cli
|
ae9998829d5b1a79c69260940f36f645f009afa7
|
[
"Apache-2.0"
] | 22
|
2018-06-05T10:58:59.000Z
|
2020-07-31T12:13:19.000Z
|
jdcloud_cli/controllers/services/live.py
|
oulinbao/jdcloud-cli
|
ae9998829d5b1a79c69260940f36f645f009afa7
|
[
"Apache-2.0"
] | 21
|
2018-06-04T12:50:27.000Z
|
2020-11-05T10:55:28.000Z
|
# coding=utf8
# Copyright 2018 JDCLOUD.COM
#
# 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.
#
# NOTE: This class is auto generated by the jdcloud code generator program.
from argparse import RawTextHelpFormatter
from jdcloud_cli.cement.ext.ext_argparse import expose
from jdcloud_cli.controllers.base_controller import BaseController
from jdcloud_cli.client_factory import ClientFactory
from jdcloud_cli.parameter_builder import collect_user_args, collect_user_headers
from jdcloud_cli.printer import Printer
from jdcloud_cli.skeleton import Skeleton
class LiveController(BaseController):
class Meta:
label = 'live'
help = 'Live-Video'
description = '''
live cli 子命令，视频直播相关接口。
OpenAPI文档地址为：https://docs.jdcloud.com/cn/live-video/api/overview
'''
stacked_on = 'base'
stacked_type = 'nested'
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码; - 取值范围: [1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围: [10, 100]; """, dest='pageSize', type=int, required=False)),
(['--filters'], dict(help="""(array: filter) 域名下的app列表过滤条件:; - name: publishDomain 直播的推流域名; - values: 如果参数为空,则查询全部; - 过滤条件为空,则表示查询用户下的所有应用名; """, dest='filters', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询域名下的APP列表 ''',
description='''
查询域名下的APP列表。
示例: jdc live describe-live-app
''',
)
def describe_live_app(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveAppRequest import DescribeLiveAppRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveAppRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 直播的推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称; - 取值: 数字字母中划线("-")下划线("_") 50个字符以内; """, dest='appName', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加直播应用名; - 需要提前在应用(app)级别绑定功能模板时才需要提前新建应用名; - 新的应用名可以推流时自动创建; ''',
description='''
添加直播应用名; - 需要提前在应用(app)级别绑定功能模板时才需要提前新建应用名; - 新的应用名可以推流时自动创建; 。
示例: jdc live add-live-app --publish-domain xxx --app-name xxx
''',
)
def add_live_app(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveAppRequest import AddLiveAppRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveAppRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 直播的推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 停用 运行中 状态的应用; - 停用应用之后,不能再用此应用名推流; ''',
description='''
停用 运行中 状态的应用; - 停用应用之后,不能再用此应用名推流; 。
示例: jdc live stop-live-app --publish-domain xxx --app-name xxx
''',
)
def stop_live_app(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.StopLiveAppRequest import StopLiveAppRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = StopLiveAppRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--play-domain'], dict(help="""(string) (直播or时移)播放域名; - 仅支持精确匹配; """, dest='playDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询(直播or时移)播放鉴权KEY ''',
description='''
查询(直播or时移)播放鉴权KEY。
示例: jdc live describe-live-play-auth-key --play-domain xxx
''',
)
def describe_live_play_auth_key(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLivePlayAuthKeyRequest import DescribeLivePlayAuthKeyRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLivePlayAuthKeyRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--play-domain'], dict(help="""(string) (直播or时移)播放域名 """, dest='playDomain', required=True)),
(['--auth-status'], dict(help="""(string) (直播or时移)播放鉴权状态; on: 开启; off: 关闭; - 当播放鉴权状态on(开启)时,authKey不能为空; """, dest='authStatus', required=False)),
(['--auth-key'], dict(help="""(string) (直播or时移)播放鉴权key; - 取值: 支持大小写字母和数字 长度6-32位; """, dest='authKey', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 设置(直播or时移)播放鉴权KEY ''',
description='''
设置(直播or时移)播放鉴权KEY。
示例: jdc live set-live-play-auth-key --play-domain xxx
''',
)
def set_live_play_auth_key(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.SetLivePlayAuthKeyRequest import SetLivePlayAuthKeyRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = SetLivePlayAuthKeyRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--restart-domain'], dict(help="""(string) 直播回看播放域名; - 仅支持精确匹配; """, dest='restartDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播回看播放鉴权KEY ''',
description='''
查询直播回看播放鉴权KEY。
示例: jdc live describe-live-restart-auth-key --restart-domain xxx
''',
)
def describe_live_restart_auth_key(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveRestartAuthKeyRequest import DescribeLiveRestartAuthKeyRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveRestartAuthKeyRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--restart-domain'], dict(help="""(string) 直播回看播放域名 """, dest='restartDomain', required=True)),
(['--auth-status'], dict(help="""(string) 直播回看播放鉴权状态; on: 开启; off: 关闭; - 当回看播放鉴权状态on(开启)时,authKey不能为空; """, dest='authStatus', required=False)),
(['--auth-key'], dict(help="""(string) 直播回看播放鉴权key; - 取值: 支持大小写字母和数字 长度6-32位; """, dest='authKey', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 设置直播回看播放鉴权KEY ''',
description='''
设置直播回看播放鉴权KEY。
示例: jdc live set-live-restart-auth-key --restart-domain xxx
''',
)
def set_live_restart_auth_key(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.SetLiveRestartAuthKeyRequest import SetLiveRestartAuthKeyRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = SetLiveRestartAuthKeyRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--filters'], dict(help="""(array: filter) 传参字段描述:; startTime(必填) : 2019-08-21T16:15:10Z; endTime(必填) : 2019-08-21T18:10:10Z; billType(非必填) :; enum:; - 1 (online); - 2 (offline); userPin(非必填) : mt_test; """, dest='filters', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播计费账单用量数据; 允许通过条件过滤查询，支持的过滤字段如下：; - startTime[eq] 账单开始时间; - endTime[eq] 账单结束时间; - billType[eq] 账单计费类型; - userPin[like] 用户PIN; ''',
description='''
查询直播计费账单用量数据; 允许通过条件过滤查询，支持的过滤字段如下：; - startTime[eq] 账单开始时间; - endTime[eq] 账单结束时间; - billType[eq] 账单计费类型; - userPin[like] 用户PIN; 。
示例: jdc live describe-live-bill-data
''',
)
def describe_live_bill_data(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveBillDataRequest import DescribeLiveBillDataRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveBillDataRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--play-domain'], dict(help="""(string) (直播or时移)播放域名; - 仅支持精确匹配; """, dest='playDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播播放证书 ''',
description='''
查询直播播放证书。
示例: jdc live describe-live-domain-certificate --play-domain xxx
''',
)
def describe_live_domain_certificate(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveDomainCertificateRequest import DescribeLiveDomainCertificateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveDomainCertificateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--play-domain'], dict(help="""(string) (直播or时移)播放域名 """, dest='playDomain', required=True)),
(['--cert-status'], dict(help="""(string) (直播or时移)播放证书状态; on: 开启; off: 关闭; - 当播放证书状态on(开启)时,cert和key不能为空; """, dest='certStatus', required=True)),
(['--cert'], dict(help="""(string) (直播or时移)播放证书; - 取值: 最大支持4098; - 当播放证书状态on(开启)时,cert不能为空; """, dest='cert', required=False)),
(['--key'], dict(help="""(string) (直播or时移)播放证书key; - 取值: 最大支持2048; - 当播放证书状态on(开启)时,key不能为空; """, dest='key', required=False)),
(['--title'], dict(help="""(string) (直播or时移)播放证书别名; - 取值: 支持大小写字母和数字 长度最大256; """, dest='title', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 设置(直播or时移)播放证书; -- 设置成功之后30分钟以内生效; ''',
description='''
设置(直播or时移)播放证书; -- 设置成功之后30分钟以内生效; 。
示例: jdc live set-live-domain-certificate --play-domain xxx --cert-status xxx
''',
)
def set_live_domain_certificate(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.SetLiveDomainCertificateRequest import SetLiveDomainCertificateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = SetLiveDomainCertificateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--restart-domain'], dict(help="""(string) 直播回看域名; - 仅支持精确匹配; """, dest='restartDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播回看播放证书 ''',
description='''
查询直播回看播放证书。
示例: jdc live describe-live-restart-domain-certificate --restart-domain xxx
''',
)
def describe_live_restart_domain_certificate(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveRestartDomainCertificateRequest import DescribeLiveRestartDomainCertificateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveRestartDomainCertificateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--restart-domain'], dict(help="""(string) 直播回看域名 """, dest='restartDomain', required=True)),
(['--cert-status'], dict(help="""(string) 直播回看证书状态; on: 开启; off: 关闭; - 当播放证书状态on(开启)时,cert和key不能为空; """, dest='certStatus', required=True)),
(['--cert'], dict(help="""(string) 直播回看证书; - 取值: 最大支持4098; - 当播放证书状态on(开启)时,cert不能为空; """, dest='cert', required=False)),
(['--key'], dict(help="""(string) 直播回看证书key; - 取值: 最大支持2048; - 当播放证书状态on(开启)时,key不能为空; """, dest='key', required=False)),
(['--title'], dict(help="""(string) 直播回看证书别名; - 取值: 支持大小写字母和数字 长度最大256; """, dest='title', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 设置直播回看证书; -- 设置成功之后30分钟以内生效; ''',
description='''
设置直播回看证书; -- 设置成功之后30分钟以内生效; 。
示例: jdc live set-live-restart-domain-certificate --restart-domain xxx --cert-status xxx
''',
)
def set_live_restart_domain_certificate(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.SetLiveRestartDomainCertificateRequest import SetLiveRestartDomainCertificateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = SetLiveRestartDomainCertificateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码; - 取值范围[1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围[10, 100]; """, dest='pageSize', type=int, required=False)),
(['--publish-domain'], dict(help="""(string) 推流域名; - 目前仅支持精确查询; - 为空时,查询用户所有直播域名; """, dest='publishDomain', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询域名列表 ''',
description='''
查询域名列表。
示例: jdc live describe-live-domains
''',
)
def describe_live_domains(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveDomainsRequest import DescribeLiveDomainsRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveDomainsRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 直播的推流域名; - 不支持泛域名; """, dest='publishDomain', required=True)),
(['--play-domain'], dict(help="""(string) 直播的播放域名; - 不支持泛域名; """, dest='playDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加直播域名; - 创建直播域名之前,必须先开通直播服务; - 直播域名必须已经备案完成; ''',
description='''
添加直播域名; - 创建直播域名之前,必须先开通直播服务; - 直播域名必须已经备案完成; 。
示例: jdc live add-live-domain --publish-domain xxx --play-domain xxx
''',
)
def add_live_domain(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveDomainRequest import AddLiveDomainRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveDomainRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名; - 需要启动的域名对(推流域名,播放域名)中的推流域名; """, dest='publishDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 启动域名; - 启用状态为 停用 的直播域名对(推流域名,播放域名)将DomainStatus变更为online; ''',
description='''
启动域名; - 启用状态为 停用 的直播域名对(推流域名,播放域名)将DomainStatus变更为online; 。
示例: jdc live start-live-domain --publish-domain xxx
''',
)
def start_live_domain(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.StartLiveDomainRequest import StartLiveDomainRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = StartLiveDomainRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名; - 需要停用的域名对(推流域名,播放域名)中的推流域名; """, dest='publishDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 停用域名; - 停用直播域名对(推流域名,播放域名),将DomainStatus变更为offline; - 停用该直播域名对后,直播域名信息仍保留,但用户将不能再用该推流域名推流或播放域名播放; ''',
description='''
停用域名; - 停用直播域名对(推流域名,播放域名),将DomainStatus变更为offline; - 停用该直播域名对后,直播域名信息仍保留,但用户将不能再用该推流域名推流或播放域名播放; 。
示例: jdc live stop-live-domain --publish-domain xxx
''',
)
def stop_live_domain(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.StopLiveDomainRequest import StopLiveDomainRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = StopLiveDomainRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名; - 需要停用的域名对(推流域名,播放域名)中的推流域名; """, dest='publishDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询指定域名相关信息 ''',
description='''
查询指定域名相关信息。
示例: jdc live describe-live-domain-detail --publish-domain xxx
''',
)
def describe_live_domain_detail(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveDomainDetailRequest import DescribeLiveDomainDetailRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveDomainDetailRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名; """, dest='publishDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除直播域名; - 请慎重操作（建议在进行域名删除前到域名解析服务商处恢复域名A记录），以免导致删除操作后此域名不可访问。; deleteLiveDomain调用成功后将删除本条直播域名的全部相关记录，对于仅需要暂停使用该直播域名，推荐stopLiveDomain接口; ''',
description='''
删除直播域名; - 请慎重操作（建议在进行域名删除前到域名解析服务商处恢复域名A记录），以免导致删除操作后此域名不可访问。; deleteLiveDomain调用成功后将删除本条直播域名的全部相关记录，对于仅需要暂停使用该直播域名，推荐stopLiveDomain接口; 。
示例: jdc live delete-live-domain --publish-domain xxx
''',
)
def delete_live_domain(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveDomainRequest import DeleteLiveDomainRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveDomainRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--play-domain'], dict(help="""(string) 直播的播放域名; - 回看域名所对应的原播放域名,新建的回看域名将绑定到此播放域名下; """, dest='playDomain', required=True)),
(['--restart-domain'], dict(help="""(string) 直播回看域名; - 直播域名必须已经备案完成; """, dest='restartDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加回看域名; ''',
description='''
添加回看域名; 。
示例: jdc live add-live-restart-domain --play-domain xxx --restart-domain xxx
''',
)
def add_live_restart_domain(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveRestartDomainRequest import AddLiveRestartDomainRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveRestartDomainRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template'], dict(help="""(string) 模板名称。长度不超过128个字符。UTF-8编码; """, dest='template', required=True)),
(['--modules'], dict(help="""(array: string) 检测项列表。取值范围：; BlackScreen - 黑屏; PureColor - 纯色; ColorCast - 偏色; FrozenFrame - 静帧; Brightness - 亮度; Contrast - 对比度; """, dest='modules', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加直播质量检测模板 ''',
description='''
添加直播质量检测模板。
示例: jdc live add-custom-live-stream-quality-detection-template --template xxx
''',
)
def add_custom_live_stream_quality_detection_template(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddCustomLiveStreamQualityDetectionTemplateRequest import AddCustomLiveStreamQualityDetectionTemplateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddCustomLiveStreamQualityDetectionTemplateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码; - 取值范围 [1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围 [10, 100]; """, dest='pageSize', type=int, required=False)),
(['--filters'], dict(help="""(array: filter) 质量检测模板查询过滤条件; - name: template 质量检测自定义名称; - value: 如果参数为空，则查询全部; """, dest='filters', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播质量检测模板列表 ''',
description='''
查询直播质量检测模板列表。
示例: jdc live describe-custom-live-stream-quality-detection-templates
''',
)
def describe_custom_live_stream_quality_detection_templates(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeCustomLiveStreamQualityDetectionTemplatesRequest import DescribeCustomLiveStreamQualityDetectionTemplatesRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeCustomLiveStreamQualityDetectionTemplatesRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--template'], dict(help="""(string) 质量检测模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加应用质量检测配置; - 添加应用级别的质量检测模板配置; ''',
description='''
添加应用质量检测配置; - 添加应用级别的质量检测模板配置; 。
示例: jdc live add-live-stream-app-quality-detection --publish-domain xxx --app-name xxx --template xxx
''',
)
def add_live_stream_app_quality_detection(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveStreamAppQualityDetectionRequest import AddLiveStreamAppQualityDetectionRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveStreamAppQualityDetectionRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--template'], dict(help="""(string) 质量检测模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加域名质量检测配置; - 添加域名级别的质量检测模板配置; ''',
description='''
添加域名质量检测配置; - 添加域名级别的质量检测模板配置; 。
示例: jdc live add-live-stream-domain-quality-detection --publish-domain xxx --template xxx
''',
)
def add_live_stream_domain_quality_detection(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveStreamDomainQualityDetectionRequest import AddLiveStreamDomainQualityDetectionRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveStreamDomainQualityDetectionRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--notify-url'], dict(help="""(string) 质量检测回调通知的URL地址:; - 以 http:// 开头,外网可访问的地址; """, dest='notifyUrl', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 设置直播质量检测回调通知地址; ''',
description='''
设置直播质量检测回调通知地址; 。
示例: jdc live set-live-stream-quality-detection-notify-config --publish-domain xxx --notify-url xxx
''',
)
def set_live_stream_quality_detection_notify_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.SetLiveStreamQualityDetectionNotifyConfigRequest import SetLiveStreamQualityDetectionNotifyConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = SetLiveStreamQualityDetectionNotifyConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template'], dict(help="""(string) 质量检测模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除直播质量检测模板; - 删除质量检测模板前,请先删除此模板相关的质量检测配置,否则无法删除; ''',
description='''
删除直播质量检测模板; - 删除质量检测模板前,请先删除此模板相关的质量检测配置,否则无法删除; 。
示例: jdc live delete-custom-live-stream-quality-detection-template --template xxx
''',
)
def delete_custom_live_stream_quality_detection_template(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteCustomLiveStreamQualityDetectionTemplateRequest import DeleteCustomLiveStreamQualityDetectionTemplateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteCustomLiveStreamQualityDetectionTemplateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--template'], dict(help="""(string) 质量检测模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除应用级别质量检测模板配置; - 删除应用级别质量检测模板配置,重新推流后生效; ''',
description='''
删除应用级别质量检测模板配置; - 删除应用级别质量检测模板配置,重新推流后生效; 。
示例: jdc live delete-live-stream-app-quality-detection --publish-domain xxx --app-name xxx --template xxx
''',
)
def delete_live_stream_app_quality_detection(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamAppQualityDetectionRequest import DeleteLiveStreamAppQualityDetectionRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamAppQualityDetectionRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--template'], dict(help="""(string) 质量检测模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除域名质量检测配置; - 删除域名级别的质量检测模板配置,重新推流后生效; ''',
description='''
删除域名质量检测配置; - 删除域名级别的质量检测模板配置,重新推流后生效; 。
示例: jdc live delete-live-stream-domain-quality-detection --publish-domain xxx --template xxx
''',
)
def delete_live_stream_domain_quality_detection(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamDomainQualityDetectionRequest import DeleteLiveStreamDomainQualityDetectionRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamDomainQualityDetectionRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询质量检测回调配置; ''',
description='''
查询质量检测回调配置; 。
示例: jdc live describe-live-stream-quality-detection-notify-config --publish-domain xxx
''',
)
def describe_live_stream_quality_detection_notify_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamQualityDetectionNotifyConfigRequest import DescribeLiveStreamQualityDetectionNotifyConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamQualityDetectionNotifyConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除质量检测回调配置; ''',
description='''
删除质量检测回调配置; 。
示例: jdc live delete-live-stream-quality-detection-notify-config --publish-domain xxx
''',
)
def delete_live_stream_quality_detection_notify_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamQualityDetectionNotifyConfigRequest import DeleteLiveStreamQualityDetectionNotifyConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamQualityDetectionNotifyConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template'], dict(help="""(string) 质量检测模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询质量检测模板绑定; ''',
description='''
查询质量检测模板绑定; 。
示例: jdc live describe-quality-detection-binding --template xxx
''',
)
def describe_quality_detection_binding(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeQualityDetectionBindingRequest import DescribeQualityDetectionBindingRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeQualityDetectionBindingRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--play-domain'], dict(help="""(string) 播放域名 """, dest='playDomain', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 开启P2P; ''',
description='''
开启P2P; 。
示例: jdc live open-live-p2p
''',
)
def open_live_p2p(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.OpenLiveP2pRequest import OpenLiveP2pRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = OpenLiveP2pRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--play-domain'], dict(help="""(string) 播放域名 """, dest='playDomain', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 关闭P2P ''',
description='''
关闭P2P。
示例: jdc live close-live-p2p
''',
)
def close_live_p2p(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.CloseLiveP2pRequest import CloseLiveP2pRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = CloseLiveP2pRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-number'], dict(help="""(int) 页码; - 取值范围[1, 100000]; """, dest='pageNumber', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围[10, 100]; """, dest='pageSize', type=int, required=False)),
(['--play-domain'], dict(help="""(string) 直播的播放域名; - 目前仅支持精确匹配; """, dest='playDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询P2P配置 ''',
description='''
查询P2P配置。
示例: jdc live describe-live-p2p-configs --play-domain xxx
''',
)
def describe_live_p2p_configs(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveP2pConfigsRequest import DescribeLiveP2pConfigsRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveP2pConfigsRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码; - 取值范围[1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围[10, 100]; """, dest='pageSize', type=int, required=False)),
(['--filters'], dict(help="""(array: filter) 录制模板列表查询过滤条件:; - name: template 录制模板自定义名称; - value: 如果参数为空，则查询全部; """, dest='filters', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询用户自定义直播录制模板列表; ''',
description='''
查询用户自定义直播录制模板列表; 。
示例: jdc live describe-custom-live-stream-record-templates
''',
)
def describe_custom_live_stream_record_templates(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeCustomLiveStreamRecordTemplatesRequest import DescribeCustomLiveStreamRecordTemplatesRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeCustomLiveStreamRecordTemplatesRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--record-period'], dict(help="""(int) 自动录制周期; - 取值: [15,360]; - 单位: 分钟; """, dest='recordPeriod', type=int, required=True)),
(['--save-bucket'], dict(help="""(string) 存储桶; """, dest='saveBucket', required=True)),
(['--save-endpoint'], dict(help="""(string) endpoint; """, dest='saveEndpoint', required=False)),
(['--record-file-type'], dict(help="""(string) 录制文件格式:; - 取值: ts,flv,mp4 (多种类型之间用;隔开); - 不区分大小写; """, dest='recordFileType', required=True)),
(['--template'], dict(help="""(string) 录制模板自定义名称:; - 取值要求：数字、大小写字母或短横线("-")、下划线("_"),; 最大长度50个字符; - <b>注意: 不能与已定义命名重复</b>; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加用户自定义直播录制模板; ''',
description='''
添加用户自定义直播录制模板; 。
示例: jdc live add-custom-live-stream-record-template --record-period 0 --save-bucket xxx --record-file-type xxx --template xxx
''',
)
def add_custom_live_stream_record_template(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddCustomLiveStreamRecordTemplateRequest import AddCustomLiveStreamRecordTemplateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddCustomLiveStreamRecordTemplateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--template'], dict(help="""(string) 录制模版 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加应用级别直播录制配置; - 添加应用级别的直播录制模板配置; ''',
description='''
添加应用级别直播录制配置; - 添加应用级别的直播录制模板配置; 。
示例: jdc live add-live-stream-app-record --publish-domain xxx --app-name xxx --template xxx
''',
)
def add_live_stream_app_record(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveStreamAppRecordRequest import AddLiveStreamAppRecordRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveStreamAppRecordRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--template'], dict(help="""(string) 录制模版 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加域名级别直播录制配置; - 添加域名级别的直播录制模板配置; ''',
description='''
添加域名级别直播录制配置; - 添加域名级别的直播录制模板配置; 。
示例: jdc live add-live-stream-domain-record --publish-domain xxx --template xxx
''',
)
def add_live_stream_domain_record(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveStreamDomainRecordRequest import AddLiveStreamDomainRecordRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveStreamDomainRecordRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码; - 取值范围 [1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围 [10, 100]; """, dest='pageSize', type=int, required=False)),
(['--filters'], dict(help="""(array: filter) 录制配置查询过滤条件:; - name: publishDomain，必填(推流域名); - value: 参数; - name: appName，必填(应用名称); - value: 参数; - name: streamName，非必填(流名称); - value: 参数; """, dest='filters', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播直播录制配置; - 录制模板配置按照 域名,应用,流 3级配置添加,以最小的粒度配置生效; - 域名、应用、流 依次粒度递减 即: 域名>应用>流; - 该查询旨在查询域名、应用、流最终生效的录制模板配置,并非各级的模板绑定情况; ''',
description='''
查询直播直播录制配置; - 录制模板配置按照 域名,应用,流 3级配置添加,以最小的粒度配置生效; - 域名、应用、流 依次粒度递减 即: 域名>应用>流; - 该查询旨在查询域名、应用、流最终生效的录制模板配置,并非各级的模板绑定情况; 。
示例: jdc live describe-custom-live-stream-record-config
''',
)
def describe_custom_live_stream_record_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeCustomLiveStreamRecordConfigRequest import DescribeCustomLiveStreamRecordConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeCustomLiveStreamRecordConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--notify-url'], dict(help="""(string) 录制回调通知的URL地址; - 以 http:// 开头,外网可访问的地址; """, dest='notifyUrl', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 设置直播录制回调通知; ''',
description='''
设置直播录制回调通知; 。
示例: jdc live set-live-stream-record-notify-config --publish-domain xxx --notify-url xxx
''',
)
def set_live_stream_record_notify_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.SetLiveStreamRecordNotifyConfigRequest import SetLiveStreamRecordNotifyConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = SetLiveStreamRecordNotifyConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template'], dict(help="""(string) 录制模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除用户自定义录制模板; - 删除用户自定义录制模板之前必须先删除此模板在各域名、应用、流级别的录制设置; ''',
description='''
删除用户自定义录制模板; - 删除用户自定义录制模板之前必须先删除此模板在各域名、应用、流级别的录制设置; 。
示例: jdc live delete-custom-live-stream-record-template --template xxx
''',
)
def delete_custom_live_stream_record_template(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteCustomLiveStreamRecordTemplateRequest import DeleteCustomLiveStreamRecordTemplateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteCustomLiveStreamRecordTemplateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--template'], dict(help="""(string) 录制模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除应用级别录制模板配置; - 删除应用级别的录制模板配置,重新推流后生效; ''',
description='''
删除应用级别录制模板配置; - 删除应用级别的录制模板配置,重新推流后生效; 。
示例: jdc live delete-live-stream-app-record --publish-domain xxx --app-name xxx --template xxx
''',
)
def delete_live_stream_app_record(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamAppRecordRequest import DeleteLiveStreamAppRecordRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamAppRecordRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--template'], dict(help="""(string) 录制模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除域名级别录制模板配置; - 删除域名级别录制模板配置,重新推流后生效; ''',
description='''
删除域名级别录制模板配置; - 删除域名级别录制模板配置,重新推流后生效; 。
示例: jdc live delete-live-stream-domain-record --publish-domain xxx --template xxx
''',
)
def delete_live_stream_domain_record(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamDomainRecordRequest import DeleteLiveStreamDomainRecordRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamDomainRecordRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询录制回调配置; ''',
description='''
查询录制回调配置; 。
示例: jdc live describe-live-stream-record-notify-config --publish-domain xxx
''',
)
def describe_live_stream_record_notify_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamRecordNotifyConfigRequest import DescribeLiveStreamRecordNotifyConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamRecordNotifyConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除录制回调配置; ''',
description='''
删除录制回调配置; 。
示例: jdc live delete-live-stream-record-notify-config --publish-domain xxx
''',
)
def delete_live_stream_record_notify_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamRecordNotifyConfigRequest import DeleteLiveStreamRecordNotifyConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamRecordNotifyConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=True)),
(['--record-times'], dict(help="""(array: recordTime) 录制时间集合; - 最大支持10段,多段合并成一个文件; - 多段时间跨度最小不能小于10s; - 多段时间跨度最大不能超过8小时; """, dest='recordTimes', required=True)),
(['--save-bucket'], dict(help="""(string) 存储桶 """, dest='saveBucket', required=True)),
(['--save-endpoint'], dict(help="""(string) 存储地址 """, dest='saveEndpoint', required=True)),
(['--record-file-type'], dict(help="""(string) 录制文件类型:; - 取值: ts,flv,mp4 (多种类型之间用;隔开); - 不区分大小写; """, dest='recordFileType', required=True)),
(['--save-object'], dict(help="""(string) 录制文件存储Object:; - 默认: /record/{Date}/{ServerId}/{AppName}/{StreamName}/{StartTime}_{EndTime}; """, dest='saveObject', required=False)),
(['--task-external-id'], dict(help="""(string) 打点录制任务外部id(可传入您的id,在回调时会在该字段返回); """, dest='taskExternalId', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加打点录制任务; - 您可以调用此接口精确提取已录制的文件中所需要的部分; ''',
description='''
添加打点录制任务; - 您可以调用此接口精确提取已录制的文件中所需要的部分; 。
示例: jdc live add-live-record-task --publish-domain xxx --app-name xxx --stream-name xxx --record-times ['{"":""}'] --save-bucket xxx --save-endpoint xxx --record-file-type xxx
''',
)
def add_live_record_task(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveRecordTaskRequest import AddLiveRecordTaskRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveRecordTaskRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template'], dict(help="""(string) 录制模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询录制模板绑定; ''',
description='''
查询录制模板绑定; 。
示例: jdc live describe-record-binding --template xxx
''',
)
def describe_record_binding(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeRecordBindingRequest import DescribeRecordBindingRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeRecordBindingRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 播放域名 """, dest='domainName', required=False)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=False)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=False)),
(['--isp-name'], dict(help="""(string) 运营商; """, dest='ispName', required=False)),
(['--location-name'], dict(help="""(string) 查询的区域，如beijing,shanghai。多个用逗号分隔; """, dest='locationName', required=False)),
(['--period'], dict(help="""(string) 查询周期，当前取值范围：“oneMin,fiveMin,halfHour,hour,twoHour,sixHour,day,followTime”，分别表示1min，5min，半小时，1小时，2小时，6小时，1天，跟随时间。默认为空，表示fiveMin。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 起始时间; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 结束时间:; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 为空,默认为当前时间，查询时间跨度不超过1天; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询流分组统计数据 ''',
description='''
查询流分组统计数据。
示例: jdc live describe-live-statistic-group-by-stream --start-time xxx
''',
)
def describe_live_statistic_group_by_stream(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStatisticGroupByStreamRequest import DescribeLiveStatisticGroupByStreamRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStatisticGroupByStreamRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 播放域名 """, dest='domainName', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=True)),
(['--isp-name'], dict(help="""(string) 运营商; """, dest='ispName', required=False)),
(['--location-name'], dict(help="""(string) 查询的区域，如beijing,shanghai。多个用逗号分隔; """, dest='locationName', required=False)),
(['--period'], dict(help="""(string) 查询周期，当前取值范围：“oneMin,fiveMin,halfHour,hour,twoHour,sixHour,day,followTime”，分别表示1min，5min，半小时，1小时，2小时，6小时，1天，跟随时间。默认为空，表示fiveMin。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 起始时间; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 结束时间:; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 为空,默认为当前时间，查询时间跨度不超过1天; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询地域分组统计数据 ''',
description='''
查询地域分组统计数据。
示例: jdc live describe-live-statistic-group-by-area --domain-name xxx --app-name xxx --stream-name xxx --start-time xxx
''',
)
def describe_live_statistic_group_by_area(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStatisticGroupByAreaRequest import DescribeLiveStatisticGroupByAreaRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStatisticGroupByAreaRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 播放域名 """, dest='domainName', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=True)),
(['--isp-name'], dict(help="""(string) 运营商; """, dest='ispName', required=False)),
(['--location-name'], dict(help="""(string) 查询的区域，如beijing,shanghai。多个用逗号分隔; """, dest='locationName', required=False)),
(['--protocol-type'], dict(help="""(string) 查询的流协议类型，取值范围："rtmp,hdl,hls"，多个时以逗号分隔; """, dest='protocolType', required=False)),
(['--period'], dict(help="""(string) 查询周期，当前取值范围：“oneMin,fiveMin,halfHour,hour,twoHour,sixHour,day,followTime”，分别表示1min，5min，半小时，1小时，2小时，6小时，1天，跟随时间。默认为空，表示fiveMin。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 起始时间; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 结束时间:; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 为空,默认为当前时间，查询时间跨度不超过1天; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询地域/运营商分组统计数据 ''',
description='''
查询地域/运营商分组统计数据。
示例: jdc live describe-live-statistic-group-by-area-isp --domain-name xxx --app-name xxx --stream-name xxx --start-time xxx
''',
)
def describe_live_statistic_group_by_area_isp(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStatisticGroupByAreaIspRequest import DescribeLiveStatisticGroupByAreaIspRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStatisticGroupByAreaIspRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 推流域名 """, dest='domainName', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=True)),
(['--start-time'], dict(help="""(string) 起始时间; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 结束时间:; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 为空,默认为当前时间，查询时间跨度不超过1天; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询推流监控数据 ''',
description='''
查询推流监控数据。
示例: jdc live describe-publish-stream-info-data --domain-name xxx --app-name xxx --stream-name xxx --start-time xxx
''',
)
def describe_publish_stream_info_data(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribePublishStreamInfoDataRequest import DescribePublishStreamInfoDataRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribePublishStreamInfoDataRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 播放域名 """, dest='domainName', required=False)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=False)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=False)),
(['--isp-name'], dict(help="""(string) 运营商; """, dest='ispName', required=False)),
(['--location-name'], dict(help="""(string) 查询的区域，如beijing,shanghai。多个用逗号分隔; """, dest='locationName', required=False)),
(['--protocol-type'], dict(help="""(string) 查询的流协议类型，取值范围："rtmp,hdl,hls"，多个时以逗号分隔; """, dest='protocolType', required=False)),
(['--period'], dict(help="""(string) 查询周期，当前取值范围：“oneMin,fiveMin,halfHour,hour,twoHour,sixHour,day,followTime”，分别表示1min，5min，半小时，1小时，2小时，6小时，1天，跟随时间。默认为空，表示fiveMin。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 起始时间; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 结束时间:; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 为空,默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播流历史在线人数 ''',
description='''
查询直播流历史在线人数。
示例: jdc live describe-live-stream-history-user-num --start-time xxx
''',
)
def describe_live_stream_history_user_num(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamHistoryUserNumRequest import DescribeLiveStreamHistoryUserNumRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamHistoryUserNumRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 播放域名 """, dest='domainName', required=False)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=False)),
(['--protocol-type'], dict(help="""(string) 查询的流协议类型，取值范围："rtmp,hdl,hls"，多个时以逗号分隔; """, dest='protocolType', required=False)),
(['--isp-name'], dict(help="""(string) 运营商; """, dest='ispName', required=False)),
(['--location-name'], dict(help="""(string) 查询的区域，如beijing,shanghai。多个用逗号分隔; """, dest='locationName', required=False)),
(['--period'], dict(help="""(string) 查询周期，当前取值范围：“oneMin,fiveMin,halfHour,hour,twoHour,sixHour,day,followTime”，分别表示1min，5min，半小时，1小时，2小时，6小时，1天，跟随时间。默认为空，表示fiveMin。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 起始时间; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 结束时间:; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 为空,默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播推流数 ''',
description='''
查询直播推流数。
示例: jdc live describe-live-publish-stream-num --start-time xxx
''',
)
def describe_live_publish_stream_num(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLivePublishStreamNumRequest import DescribeLivePublishStreamNumRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLivePublishStreamNumRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 推流域名 """, dest='domainName', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--protocol-type'], dict(help="""(string) 协议，取值范围："hdl,hls"; """, dest='protocolType', required=True)),
(['--start-time'], dict(help="""(string) 起始时间; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 结束时间:; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 为空,默认为当前时间，时间跨度不不超过⼀一天; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播流播放人数排行 ''',
description='''
查询直播流播放人数排行。
示例: jdc live describe-live-stream-player-ranking-data --domain-name xxx --app-name xxx --protocol-type xxx --start-time xxx
''',
)
def describe_live_stream_player_ranking_data(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamPlayerRankingDataRequest import DescribeLiveStreamPlayerRankingDataRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamPlayerRankingDataRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 推流域名; """, dest='domainName', required=True)),
(['--app-name'], dict(help="""(string) 应用名称; """, dest='appName', required=True)),
(['--stream-name'], dict(help="""(string) 流名称; """, dest='streamName', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询转码流信息 ''',
description='''
查询转码流信息。
示例: jdc live describe-live-transcode-stream-list --domain-name xxx --app-name xxx --stream-name xxx
''',
)
def describe_live_transcode_stream_list(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveTranscodeStreamListRequest import DescribeLiveTranscodeStreamListRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveTranscodeStreamListRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 推流域名 """, dest='domainName', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询转码流数量 ''',
description='''
查询转码流数量。
示例: jdc live describe-live-transcode-stream-num
''',
)
def describe_live_transcode_stream_num(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveTranscodeStreamNumRequest import DescribeLiveTranscodeStreamNumRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveTranscodeStreamNumRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 推流域名 """, dest='domainName', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--isp-name'], dict(help="""(string) 运营商; """, dest='ispName', required=False)),
(['--location-name'], dict(help="""(string) 查询的区域，如beijing,shanghai。多个用逗号分隔; """, dest='locationName', required=False)),
(['--protocol-type'], dict(help="""(string) 查询的流协议类型，取值范围："rtmp,hdl,hls"，多个时以逗号分隔; """, dest='protocolType', required=False)),
(['--period'], dict(help="""(string) 查询周期，当前取值范围：“oneMin,fiveMin,halfHour,hour,twoHour,sixHour,day,followTime”，分别表示1min，5min，半小时，1小时，2小时，6小时，1天，跟随时间。默认为空，表示fiveMin。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 查询起始时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 查询截至时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'，为空时默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询转码流观看人数 ''',
description='''
查询转码流观看人数。
示例: jdc live describe-live-transcode-stream-player-user-num --domain-name xxx --app-name xxx --start-time xxx
''',
)
def describe_live_transcode_stream_player_user_num(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveTranscodeStreamPlayerUserNumRequest import DescribeLiveTranscodeStreamPlayerUserNumRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveTranscodeStreamPlayerUserNumRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 推流域名 """, dest='domainName', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--isp-name'], dict(help="""(string) 运营商; """, dest='ispName', required=False)),
(['--location-name'], dict(help="""(string) 查询的区域，如beijing,shanghai。多个用逗号分隔; """, dest='locationName', required=False)),
(['--protocol-type'], dict(help="""(string) 查询的流协议类型，取值范围："rtmp,hdl,hls"，多个时以逗号分隔; """, dest='protocolType', required=False)),
(['--period'], dict(help="""(string) 查询周期，当前取值范围：“oneMin,fiveMin,halfHour,hour,twoHour,sixHour,day,followTime”，分别表示1min，5min，半小时，1小时，2小时，6小时，1天，跟随时间。默认为空，表示fiveMin。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 查询起始时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 查询截至时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'，为空时默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询转码流播放带宽; - 查询1分钟粒度的数据时，时间跨度不超过7天，其他粒度时时间跨度不超过30天; ''',
description='''
查询转码流播放带宽; - 查询1分钟粒度的数据时，时间跨度不超过7天，其他粒度时时间跨度不超过30天; 。
示例: jdc live describe-live-transcode-stream-bandwidth --domain-name xxx --app-name xxx --start-time xxx
''',
)
def describe_live_transcode_stream_bandwidth(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveTranscodeStreamBandwidthRequest import DescribeLiveTranscodeStreamBandwidthRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveTranscodeStreamBandwidthRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 推流域名 """, dest='domainName', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=False)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=False)),
(['--page-num'], dict(help="""(int) 页码，起始页码1; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 每页最大记录数，取值：[10,100]，默认：10; """, dest='pageSize', type=int, required=False)),
(['--start-time'], dict(help="""(string) 起始时间; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 结束时间:; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 为空,默认为当前时间，查询时间跨度不超过30天; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询在线流列表 ''',
description='''
查询在线流列表。
示例: jdc live describe-domain-online-stream --domain-name xxx --start-time xxx
''',
)
def describe_domain_online_stream(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeDomainOnlineStreamRequest import DescribeDomainOnlineStreamRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeDomainOnlineStreamRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domains'], dict(help="""(string) 播放域名，多个时以逗号（,）分隔 """, dest='domains', required=True)),
(['--interval'], dict(help="""(string) 时间间隔，取值(hour，day),不传默认小时; - 按小时（hour）下载时是.log文件; - 按天（day）下载时是.zip文件; """, dest='interval', required=False)),
(['--start-time'], dict(help="""(string) 起始时间; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 结束时间:; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 为空,默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 日志下载 ''',
description='''
日志下载。
示例: jdc live describe-domains-log --domains xxx --start-time xxx
''',
)
def describe_domains_log(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeDomainsLogRequest import DescribeDomainsLogRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeDomainsLogRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 播放域名 """, dest='domainName', required=True)),
(['--size'], dict(help="""(int) 查询Top数量，默认20，即返回Top20的数据 """, dest='size', type=int, required=False)),
(['--rankfield'], dict(help="""(string) 排行依据字段，取值：["pv", "flow", "bandwidth"]，默认pv; - pv 播放次数; - flow 流量; - bandwidth 带宽; """, dest='rankfield', required=False)),
(['--start-time'], dict(help="""(string) 起始时间; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 结束时间:; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 为空,默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询URL播放排行 ''',
description='''
查询URL播放排行。
示例: jdc live describe-url-ranking --domain-name xxx --start-time xxx
''',
)
def describe_url_ranking(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeUrlRankingRequest import DescribeUrlRankingRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeUrlRankingRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--grade'], dict(help="""(string) 码率档次，可以查询指定档次的转码时长，取值：; - video_h264_4k_1; - video_h264_2k_1; - video_h264_shd_1; - video_h264_hd_1; - video_h264_sd_1; - video_h265_4k_1; - video_h265_2k_1; - video_h265_shd_1; - video_h265_hd_1; - video_h265_sd_1; """, dest='grade', required=False)),
(['--period'], dict(help="""(string) 查询周期，取值范围：“day,month,year,followTime”，分别表示1天，1月，1年，跟随时间。默认为空，表示day。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 查询起始时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 查询截至时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'，为空时默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询转码时长数据 ''',
description='''
查询转码时长数据。
示例: jdc live describe-live-transcoding-duration-data --start-time xxx
''',
)
def describe_live_transcoding_duration_data(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveTranscodingDurationDataRequest import DescribeLiveTranscodingDurationDataRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveTranscodingDurationDataRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--period'], dict(help="""(string) 查询周期，取值范围：“day,month,year,followTime”，分别表示1天，1月，1年，跟随时间。默认为空，表示day。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 查询起始时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 查询截至时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'，为空时默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询存储空间数据 ''',
description='''
查询存储空间数据。
示例: jdc live describe-live-file-storage-data --start-time xxx
''',
)
def describe_live_file_storage_data(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveFileStorageDataRequest import DescribeLiveFileStorageDataRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveFileStorageDataRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 播放域名，可以通过指定域名查询该域名下产生的带宽数据。; """, dest='domainName', required=False)),
(['--app-name'], dict(help="""(string) 推流AppName，将AppName作为查询条件时须指定域名。; """, dest='appName', required=False)),
(['--stream-name'], dict(help="""(string) 流名称，将流名称作为查询条件时须指定域名和AppName。; """, dest='streamName', required=False)),
(['--isp-name'], dict(help="""(string) 运营商; """, dest='ispName', required=False)),
(['--location-name'], dict(help="""(string) 查询的区域，如beijing,shanghai。多个用逗号分隔; """, dest='locationName', required=False)),
(['--protocol-type'], dict(help="""(string) 查询的流协议类型，取值范围："rtmp,hdl,hls"，多个时以逗号分隔; """, dest='protocolType', required=False)),
(['--period'], dict(help="""(string) 查询周期，当前取值范围：“oneMin,fiveMin,halfHour,hour,twoHour,sixHour,day,followTime”，分别表示1min，5min，半小时，1小时，2小时，6小时，1天，跟随时间。默认为空，表示fiveMin。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 查询起始时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 查询截至时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'，为空时默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询带宽数据; - 查询某个时间段内的带宽数据（平均带宽）; - 查询1分钟粒度的数据时，时间跨度不超过7天，其他粒度时时间跨度不超过30天; ''',
description='''
查询带宽数据; - 查询某个时间段内的带宽数据（平均带宽）; - 查询1分钟粒度的数据时，时间跨度不超过7天，其他粒度时时间跨度不超过30天; 。
示例: jdc live describe-live-stream-bandwidth-data --start-time xxx
''',
)
def describe_live_stream_bandwidth_data(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamBandwidthDataRequest import DescribeLiveStreamBandwidthDataRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamBandwidthDataRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 推流域名，可以通过指定域名查询该域名下产生的带宽数据。; """, dest='domainName', required=False)),
(['--app-name'], dict(help="""(string) 推流AppName，将AppName作为查询条件时须指定域名。; """, dest='appName', required=False)),
(['--stream-name'], dict(help="""(string) 流名称，将流名称作为查询条件时须指定域名和AppName。; """, dest='streamName', required=False)),
(['--isp-name'], dict(help="""(string) 运营商; """, dest='ispName', required=False)),
(['--location-name'], dict(help="""(string) 查询的区域，如beijing,shanghai。多个用逗号分隔; """, dest='locationName', required=False)),
(['--protocol-type'], dict(help="""(string) 查询的流协议类型，取值范围："rtmp,hdl,hls"，多个时以逗号分隔; """, dest='protocolType', required=False)),
(['--period'], dict(help="""(string) 查询周期，当前取值范围：“oneMin,fiveMin,halfHour,hour,twoHour,sixHour,day,followTime”，分别表示1min，5min，半小时，1小时，2小时，6小时，1天，跟随时间。默认为空，表示fiveMin。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 查询起始时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 查询截至时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'，为空时默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询推流带宽; - 查询某个时间段内的推流上行带宽数据; - 查询1分钟粒度的数据时，时间跨度不超过7天，其他粒度时时间跨度不超过30天; ''',
description='''
查询推流带宽; - 查询某个时间段内的推流上行带宽数据; - 查询1分钟粒度的数据时，时间跨度不超过7天，其他粒度时时间跨度不超过30天; 。
示例: jdc live describe-live-stream-publish-bandwidth-data --start-time xxx
''',
)
def describe_live_stream_publish_bandwidth_data(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamPublishBandwidthDataRequest import DescribeLiveStreamPublishBandwidthDataRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamPublishBandwidthDataRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 播放域名，可以通过指定域名查询该域名下产生的带宽数据。; """, dest='domainName', required=False)),
(['--app-name'], dict(help="""(string) 推流AppName，将AppName作为查询条件时须指定域名。; """, dest='appName', required=False)),
(['--stream-name'], dict(help="""(string) 流名称; """, dest='streamName', required=False)),
(['--isp-name'], dict(help="""(string) 运营商; """, dest='ispName', required=False)),
(['--location-name'], dict(help="""(string) 查询的区域，如beijing,shanghai。多个用逗号分隔; """, dest='locationName', required=False)),
(['--protocol-type'], dict(help="""(string) 查询的流协议类型，取值范围："rtmp,hdl,hls"，多个时以逗号分隔; """, dest='protocolType', required=False)),
(['--period'], dict(help="""(string) 查询周期，当前取值范围：“oneMin,fiveMin,halfHour,hour,twoHour,sixHour,day,followTime”，分别表示1min，5min，半小时，1小时，2小时，6小时，1天，跟随时间。默认为空，表示fiveMin。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 查询起始时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 查询截至时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'，为空时默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询流量数据; - 查询某个时间段内的流量数据。; - 查询1分钟粒度的数据时，时间跨度不超过7天，其他粒度时时间跨度不超过30天; ''',
description='''
查询流量数据; - 查询某个时间段内的流量数据。; - 查询1分钟粒度的数据时，时间跨度不超过7天，其他粒度时时间跨度不超过30天; 。
示例: jdc live describe-live-stream-traffic-data --start-time xxx
''',
)
def describe_live_stream_traffic_data(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamTrafficDataRequest import DescribeLiveStreamTrafficDataRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamTrafficDataRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--domain-name'], dict(help="""(string) 推流域名，可以通过指定域名查询该域名下产生的带宽数据。; """, dest='domainName', required=False)),
(['--app-name'], dict(help="""(string) 推流AppName，将AppName作为查询条件时须指定域名。; """, dest='appName', required=False)),
(['--stream-name'], dict(help="""(string) 流名称; """, dest='streamName', required=False)),
(['--isp-name'], dict(help="""(string) 运营商; """, dest='ispName', required=False)),
(['--location-name'], dict(help="""(string) 查询的区域，如beijing,shanghai。多个用逗号分隔; """, dest='locationName', required=False)),
(['--protocol-type'], dict(help="""(string) 查询的流协议类型，取值范围："rtmp,hdl,hls"，多个时以逗号分隔; """, dest='protocolType', required=False)),
(['--period'], dict(help="""(string) 查询周期，当前取值范围：“oneMin,fiveMin,halfHour,hour,twoHour,sixHour,day,followTime”，分别表示1min，5min，半小时，1小时，2小时，6小时，1天，跟随时间。默认为空，表示fiveMin。当传入followTime时，表示按Endtime-StartTime的周期，只返回一个点; """, dest='period', required=False)),
(['--start-time'], dict(help="""(string) 查询起始时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 查询截至时间，UTC时间，格式：yyyy-MM-dd'T'HH:mm:ss'Z'，为空时默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询推流上行流量数据; - 查询某个时间段内的流量数据。; - 查询1分钟粒度的数据时，时间跨度不超过7天，其他粒度时时间跨度不超过30天; ''',
description='''
查询推流上行流量数据; - 查询某个时间段内的流量数据。; - 查询1分钟粒度的数据时，时间跨度不超过7天，其他粒度时时间跨度不超过30天; 。
示例: jdc live describe-live-stream-publish-traffic-data --start-time xxx
''',
)
def describe_live_stream_publish_traffic_data(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamPublishTrafficDataRequest import DescribeLiveStreamPublishTrafficDataRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamPublishTrafficDataRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=False)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=False)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=False)),
(['--start-time'], dict(help="""(string) 起始时间:; - UTC时间; 格式: yyyy-MM-dd'T'HH:mm:ss'Z'; 示例: 2018-10-21T10:00:00Z; - 支持最大查询90天以内的数据; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 结束时间:; - UTC时间; 格式: yyyy-MM-dd'T'HH:mm:ss'Z'; 示例: 2018-10-21T10:00:00Z; - 为空,默认当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播截图张数数据 ''',
description='''
查询直播截图张数数据。
示例: jdc live describe-live-snapshot-data --start-time xxx
''',
)
def describe_live_snapshot_data(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveSnapshotDataRequest import DescribeLiveSnapshotDataRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveSnapshotDataRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=False)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=False)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=False)),
(['--start-time'], dict(help="""(string) 起始时间; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 支持最大查询90天以内的数据; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 结束时间:; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 为空,默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播鉴黄张数数据 ''',
description='''
查询直播鉴黄张数数据。
示例: jdc live describe-live-porn-data --start-time xxx
''',
)
def describe_live_porn_data(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLivePornDataRequest import DescribeLivePornDataRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLivePornDataRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--format'], dict(help="""(string) 截图格式; - 取值: jpg, png; - 不区分大小写; """, dest='format', required=True)),
(['--width'], dict(help="""(int) 截图宽度; - 取值: [8,8192]; - 如果(width,height)只设置其中之一,则按所设置参数项等比缩放另一项输出截图; - 如果(width,height)都不设置，则按源流大小输出截图; """, dest='width', type=int, required=False)),
(['--height'], dict(help="""(int) 截图高度; - 取值: [8,8192]; - 如果(width,height)只设置其中之一,则按所设置参数项等比缩放另一项输出截图; - 如果(width,height)都不设置，则按源流大小输出截图; """, dest='height', type=int, required=False)),
(['--fill-type'], dict(help="""(int) 截图与设定的宽高不匹配时的处理规则; 1: 拉伸; 2: 留黑; 3: 留白; 4: 高斯模糊; - 1是按照设定宽高拉伸; - 2,3,4是等比例的缩放多余或不足处按调置处理; """, dest='fillType', type=int, required=True)),
(['--snapshot-interval'], dict(help="""(int) 截图周期; - 取值范围 [5,3600]; - 单位: 秒; """, dest='snapshotInterval', type=int, required=True)),
(['--save-mode'], dict(help="""(int) 存储模式; 1: 覆盖存储; 2: 顺序存储; """, dest='saveMode', type=int, required=True)),
(['--save-bucket'], dict(help="""(string) 存储桶 """, dest='saveBucket', required=True)),
(['--save-endpoint'], dict(help="""(string) 存储地址 """, dest='saveEndpoint', required=False)),
(['--template'], dict(help="""(string) 截图模板自定义名称:; - 取值要求: 数字、大小写字母或短横线("-")、下划线("_"),; 首尾不能有特殊字符("-"); 最大长度50个字符; - <b>注意: 不能与已定义命名重复</b>; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加直播截图模板 ''',
description='''
添加直播截图模板。
示例: jdc live add-custom-live-stream-snapshot-template --format xxx --fill-type 0 --snapshot-interval 0 --save-mode 0 --save-bucket xxx --template xxx
''',
)
def add_custom_live_stream_snapshot_template(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddCustomLiveStreamSnapshotTemplateRequest import AddCustomLiveStreamSnapshotTemplateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddCustomLiveStreamSnapshotTemplateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码; - 取值范围 [1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围 [10, 100]; """, dest='pageSize', type=int, required=False)),
(['--filters'], dict(help="""(array: filter) 直播截图查询过滤条件:; - name: publishDomain 必填(推流域名); - value: 参数; - name: appName 必填(应用名称); - value: 参数; - name: streamName 非必填(流名称); - value: 参数; """, dest='filters', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播截图配置; - 截图模板配置按照 域名,应用,流 3级配置添加,以最小的粒度配置生效; - 域名、应用、流 依次粒度递减 即: 域名>应用>流; - 该查询旨在查询域名、应用、流最终生效的截图模板配置,并非各级的模板绑定情况; ''',
description='''
查询直播截图配置; - 截图模板配置按照 域名,应用,流 3级配置添加,以最小的粒度配置生效; - 域名、应用、流 依次粒度递减 即: 域名>应用>流; - 该查询旨在查询域名、应用、流最终生效的截图模板配置,并非各级的模板绑定情况; 。
示例: jdc live describe-custom-live-stream-snapshot-config
''',
)
def describe_custom_live_stream_snapshot_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeCustomLiveStreamSnapshotConfigRequest import DescribeCustomLiveStreamSnapshotConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeCustomLiveStreamSnapshotConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码; - 取值范围 [1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围 [10, 100]; """, dest='pageSize', type=int, required=False)),
(['--filters'], dict(help="""(array: filter) 截图模板查询过滤条件; - name: template 录制模板自定义名称; - value: 如果参数为空，则查询全部; """, dest='filters', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播截图模板列表 ''',
description='''
查询直播截图模板列表。
示例: jdc live describe-custom-live-stream-snapshot-templates
''',
)
def describe_custom_live_stream_snapshot_templates(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeCustomLiveStreamSnapshotTemplatesRequest import DescribeCustomLiveStreamSnapshotTemplatesRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeCustomLiveStreamSnapshotTemplatesRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--template'], dict(help="""(string) 截图模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加应用截图配置; - 添加应用级别的截图模板配置; ''',
description='''
添加应用截图配置; - 添加应用级别的截图模板配置; 。
示例: jdc live add-live-stream-app-snapshot --publish-domain xxx --app-name xxx --template xxx
''',
)
def add_live_stream_app_snapshot(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveStreamAppSnapshotRequest import AddLiveStreamAppSnapshotRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveStreamAppSnapshotRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--template'], dict(help="""(string) 截图模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加域名截图配置; - 添加域名级别的截图模板配置; ''',
description='''
添加域名截图配置; - 添加域名级别的截图模板配置; 。
示例: jdc live add-live-stream-domain-snapshot --publish-domain xxx --template xxx
''',
)
def add_live_stream_domain_snapshot(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveStreamDomainSnapshotRequest import AddLiveStreamDomainSnapshotRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveStreamDomainSnapshotRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--notify-url'], dict(help="""(string) 截图回调通知的URL地址:; - 以 http:// 开头,外网可访问的地址; """, dest='notifyUrl', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 设置直播截图回调通知地址; ''',
description='''
设置直播截图回调通知地址; 。
示例: jdc live set-live-stream-snapshot-notify-config --publish-domain xxx --notify-url xxx
''',
)
def set_live_stream_snapshot_notify_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.SetLiveStreamSnapshotNotifyConfigRequest import SetLiveStreamSnapshotNotifyConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = SetLiveStreamSnapshotNotifyConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template'], dict(help="""(string) 截图模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除用户自定义直播截图模板; - 删除截图模板前,请先删除此模板相关的截图配置,否则将会影响线上业务; ''',
description='''
删除用户自定义直播截图模板; - 删除截图模板前,请先删除此模板相关的截图配置,否则将会影响线上业务; 。
示例: jdc live delete-custom-live-stream-snapshot-template --template xxx
''',
)
def delete_custom_live_stream_snapshot_template(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteCustomLiveStreamSnapshotTemplateRequest import DeleteCustomLiveStreamSnapshotTemplateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteCustomLiveStreamSnapshotTemplateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--template'], dict(help="""(string) 截图模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除APP截图配置 ''',
description='''
删除APP截图配置。
示例: jdc live delete-live-stream-app-snapshot --publish-domain xxx --app-name xxx --template xxx
''',
)
def delete_live_stream_app_snapshot(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamAppSnapshotRequest import DeleteLiveStreamAppSnapshotRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamAppSnapshotRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--template'], dict(help="""(string) 截图模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除域名截图配置; - 删除域名级别的截图模板配置,重新推流后生效; ''',
description='''
删除域名截图配置; - 删除域名级别的截图模板配置,重新推流后生效; 。
示例: jdc live delete-live-stream-domain-snapshot --publish-domain xxx --template xxx
''',
)
def delete_live_stream_domain_snapshot(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamDomainSnapshotRequest import DeleteLiveStreamDomainSnapshotRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamDomainSnapshotRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询截图回调配置; ''',
description='''
查询截图回调配置; 。
示例: jdc live describe-live-stream-snapshot-notify-config --publish-domain xxx
''',
)
def describe_live_stream_snapshot_notify_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamSnapshotNotifyConfigRequest import DescribeLiveStreamSnapshotNotifyConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamSnapshotNotifyConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除截图回调配置; ''',
description='''
删除截图回调配置; 。
示例: jdc live delete-live-stream-snapshot-notify-config --publish-domain xxx
''',
)
def delete_live_stream_snapshot_notify_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamSnapshotNotifyConfigRequest import DeleteLiveStreamSnapshotNotifyConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamSnapshotNotifyConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template'], dict(help="""(string) 截图模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询截图模板绑定; ''',
description='''
查询截图模板绑定; 。
示例: jdc live describe-snapshot-binding --template xxx
''',
)
def describe_snapshot_binding(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeSnapshotBindingRequest import DescribeSnapshotBindingRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeSnapshotBindingRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=True)),
(['--forbid-time'], dict(help="""(int) 禁流时长,单位:s 0表示永久禁流;大于0为限时禁流,超过时长自动解禁 """, dest='forbidTime', type=int, required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 禁止直播流推送 ''',
description='''
禁止直播流推送。
示例: jdc live forbid-live-stream --publish-domain xxx --app-name xxx --stream-name xxx
''',
)
def forbid_live_stream(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.ForbidLiveStreamRequest import ForbidLiveStreamRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = ForbidLiveStreamRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 恢复直播流推送 ''',
description='''
恢复直播流推送。
示例: jdc live resume-live-stream --publish-domain xxx --app-name xxx --stream-name xxx
''',
)
def resume_live_stream(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.ResumeLiveStreamRequest import ResumeLiveStreamRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = ResumeLiveStreamRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 中断直播流推送; - 中断操作1秒后可以继续推流; ''',
description='''
中断直播流推送; - 中断操作1秒后可以继续推流; 。
示例: jdc live interrupt-live-stream --publish-domain xxx --app-name xxx --stream-name xxx
''',
)
def interrupt_live_stream(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.InterruptLiveStreamRequest import InterruptLiveStreamRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = InterruptLiveStreamRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播实时流信息; ''',
description='''
查询直播实时流信息; 。
示例: jdc live describe-live-stream-info --publish-domain xxx --app-name xxx --stream-name xxx
''',
)
def describe_live_stream_info(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamInfoRequest import DescribeLiveStreamInfoRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamInfoRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--notify-url'], dict(help="""(string) 直播流状态回调地址; - 必须以 http:// 开头; """, dest='notifyUrl', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 设置直播流状态回调地址 ''',
description='''
设置直播流状态回调地址。
示例: jdc live set-live-stream-notify-config --publish-domain xxx --notify-url xxx
''',
)
def set_live_stream_notify_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.SetLiveStreamNotifyConfigRequest import SetLiveStreamNotifyConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = SetLiveStreamNotifyConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播流状态回调地址 ''',
description='''
查询直播流状态回调地址。
示例: jdc live describe-live-stream-notify-config --publish-domain xxx
''',
)
def describe_live_stream_notify_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamNotifyConfigRequest import DescribeLiveStreamNotifyConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamNotifyConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除直播流状态回调地址 ''',
description='''
删除直播流状态回调地址。
示例: jdc live delete-live-stream-notify-config --publish-domain xxx
''',
)
def delete_live_stream_notify_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamNotifyConfigRequest import DeleteLiveStreamNotifyConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamNotifyConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--page-num'], dict(help="""(int) 页码; - 取值范围[1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围[10, 100]; """, dest='pageSize', type=int, required=False)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播中的流的信息 ''',
description='''
查询直播中的流的信息。
示例: jdc live describe-live-stream-online-list --publish-domain xxx
''',
)
def describe_live_stream_online_list(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamOnlineListRequest import DescribeLiveStreamOnlineListRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamOnlineListRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--page-num'], dict(help="""(int) 页码<br>; - 取值范围[1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小<br>; - 取值范围[10, 100]; """, dest='pageSize', type=int, required=False)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=False)),
(['--stream-name'], dict(help="""(string) 流名称 """, dest='streamName', required=False)),
(['--start-time'], dict(help="""(string) 推流起始时间<br>; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 最大支持最近30天内的流历史查询; """, dest='startTime', required=True)),
(['--end-time'], dict(help="""(string) 推流结束时间<br>; - UTC时间; 格式:yyyy-MM-dd'T'HH:mm:ss'Z'; 示例:2018-10-21T10:00:00Z; - 最大支持最近30天内的流历史查询; - 结束时间为空默认为当前时间; """, dest='endTime', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查看推流历史记录 ''',
description='''
查看推流历史记录。
示例: jdc live describe-live-stream-publish-list --publish-domain xxx --start-time xxx
''',
)
def describe_live_stream_publish_list(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamPublishListRequest import DescribeLiveStreamPublishListRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamPublishListRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--restart-domain'], dict(help="""(string) 回看的播放域名 """, dest='restartDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 开启回看; 1、直播回看文件格式仅支持m3u8。; 2、回看时长用户可以配置，最大支持7天，即用户请求回看内容，最多可以请求最近7天的直播回看内容。; 3、域名格式：http://{restartDomain}/{appName}/{streamName}/index.m3u8?starttime=1527756680&endtime=1527760280 (unix时间戳); 4、starttime-endtime最长可支持24小时，可跨天; ''',
description='''
开启回看; 1、直播回看文件格式仅支持m3u8。; 2、回看时长用户可以配置，最大支持7天，即用户请求回看内容，最多可以请求最近7天的直播回看内容。; 3、域名格式：http://{restartDomain}/{appName}/{streamName}/index.m3u8?starttime=1527756680&endtime=1527760280 (unix时间戳); 4、starttime-endtime最长可支持24小时，可跨天; 。
示例: jdc live open-live-restart --restart-domain xxx
''',
)
def open_live_restart(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.OpenLiveRestartRequest import OpenLiveRestartRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = OpenLiveRestartRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--restart-domain'], dict(help="""(string) 回看的播放域名 """, dest='restartDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 关闭回看 ''',
description='''
关闭回看。
示例: jdc live close-live-restart --restart-domain xxx
''',
)
def close_live_restart(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.CloseLiveRestartRequest import CloseLiveRestartRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = CloseLiveRestartRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码；默认为1；取值范围[1, 100000] """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小；默认为10；取值范围[10, 100] """, dest='pageSize', type=int, required=False)),
(['--restart-domain'], dict(help="""(string) 回看的推流域名 """, dest='restartDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询回看配置 ''',
description='''
查询回看配置。
示例: jdc live describe-live-restart-configs --restart-domain xxx
''',
)
def describe_live_restart_configs(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveRestartConfigsRequest import DescribeLiveRestartConfigsRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveRestartConfigsRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--play-domain'], dict(help="""(string) 直播的播放域名 """, dest='playDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 开启时移; 直播支持最大4小时的HLS时移，使用方式为在播放域名后增加时移参数来实现，参数类型支持指定开始时间和时间偏移量2种方式进行时移。 开启直播时移后，重新推流生效，使用播放域名带相应参数访问即可播放; - 域名格式：; 1、http://{playDomain}/{appName}/{streamName}/index.m3u8?timeshift=400（秒，指从当前时间往前时移的偏移量）; 2、http://{playDomain}/{appName}/{streamName}/index.m3u8?starttime=1529223702 (unix时间戳); ''',
description='''
开启时移; 直播支持最大4小时的HLS时移，使用方式为在播放域名后增加时移参数来实现，参数类型支持指定开始时间和时间偏移量2种方式进行时移。 开启直播时移后，重新推流生效，使用播放域名带相应参数访问即可播放; - 域名格式：; 1、http://{playDomain}/{appName}/{streamName}/index.m3u8?timeshift=400（秒，指从当前时间往前时移的偏移量）; 2、http://{playDomain}/{appName}/{streamName}/index.m3u8?starttime=1529223702 (unix时间戳); 。
示例: jdc live open-live-timeshift --play-domain xxx
''',
)
def open_live_timeshift(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.OpenLiveTimeshiftRequest import OpenLiveTimeshiftRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = OpenLiveTimeshiftRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--play-domain'], dict(help="""(string) 直播的播放域名 """, dest='playDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 关闭时移 ''',
description='''
关闭时移。
示例: jdc live close-live-timeshift --play-domain xxx
''',
)
def close_live_timeshift(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.CloseLiveTimeshiftRequest import CloseLiveTimeshiftRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = CloseLiveTimeshiftRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-number'], dict(help="""(int) 页码; - 取值范围[1, 100000]; """, dest='pageNumber', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围[10, 100]; """, dest='pageSize', type=int, required=False)),
(['--play-domain'], dict(help="""(string) 直播的播放域名; - 目前仅支持精确匹配; """, dest='playDomain', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询时移配置 ''',
description='''
查询时移配置。
示例: jdc live describe-live-timeshift-configs --play-domain xxx
''',
)
def describe_live_timeshift_configs(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveTimeshiftConfigsRequest import DescribeLiveTimeshiftConfigsRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveTimeshiftConfigsRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 直播的推流域名 """, dest='publishDomain', required=True)),
(['--template'], dict(help="""(string) 转码模版; - 取值范围: 系统标准转码模板, 用户自定义转码模板; - 系统标准转码模板; ld (h.264/640*360/15f); sd (h.264/960*540/25f); hd (h.264/1280*720/25f); shd (h.264/1920*1080/30f); ld-265 (h.265/640*360/15f); sd-265 (h.265/960*540/25f); hd-265 (h.265/1280*720/25f); shd-265 (h.265/1920*1080/30f); """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加域名级别转码配置; - 添加域名级别的转码模板配置; ''',
description='''
添加域名级别转码配置; - 添加域名级别的转码模板配置; 。
示例: jdc live add-live-stream-domain-transcode --publish-domain xxx --template xxx
''',
)
def add_live_stream_domain_transcode(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveStreamDomainTranscodeRequest import AddLiveStreamDomainTranscodeRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveStreamDomainTranscodeRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--template'], dict(help="""(string) 转码模版; - 取值范围: 系统标准转码模板, 用户自定义转码模板; - 系统标准转码模板; ld (h.264/640*360/15f); sd (h.264/960*540/25f); hd (h.264/1280*720/25f); shd (h.264/1920*1080/30f); ld-265 (h.265/640*360/15f); sd-265 (h.265/960*540/25f); hd-265 (h.265/1280*720/25f); shd-265 (h.265/1920*1080/30f); """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加应用转码配置; - 添加应用级别的转码模板配置; ''',
description='''
添加应用转码配置; - 添加应用级别的转码模板配置; 。
示例: jdc live add-live-stream-app-transcode --publish-domain xxx --app-name xxx --template xxx
''',
)
def add_live_stream_app_transcode(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveStreamAppTranscodeRequest import AddLiveStreamAppTranscodeRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveStreamAppTranscodeRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template-name'], dict(help="""(string) 转码模板名称; - 长度范围：[1,50]; """, dest='templateName', required=False)),
(['--video-codec'], dict(help="""(string) 视频编码格式，取值：h264,h265，默认h264; - h264时,分辨率小于等于1080p; - h265时,分辨率小于等于4k; """, dest='videoCodec', required=False)),
(['--video-code-rate'], dict(help="""(int) 转码输出的码率值; - 取值范围: [128,15000]; - 单位: kpbs; """, dest='videoCodeRate', type=int, required=True)),
(['--video-frame-rate'], dict(help="""(string) 转码输出的帧率值; - 取值：[1,30]; """, dest='videoFrameRate', required=True)),
(['--width'], dict(help="""(int) 转码输出视频宽度; - 取值: [128,4096]; - 如果(width,height)只设置其中之一,则按所设置参数项等比缩放另一项输出转码; - 如果(width,height)都不设置，则按源流大小输出转码; """, dest='width', type=int, required=False)),
(['--height'], dict(help="""(int) 转码输出视频高度; - 取值: [128,4096]; - 如果(width,height)只设置其中之一,则按所设置参数项等比缩放另一项输出转码; - 如果(width,height)都不设置，则按源流大小输出转码; """, dest='height', type=int, required=False)),
(['--template'], dict(help="""(string) 转码模板(转码流输出后缀); - 取值要求：数字、大小写字母或短横线("-"),必须以数字或字母作为开头和结尾,长度不超过50字符; - <b>注意: 不能与系统的标准的转码模板和当前用户已自定义命名重复</b>; - 系统标准转码模板; ld (h.264/640*360/15f); sd (h.264/960*540/25f); hd (h.264/1280*720/25f); shd (h.264/1920*1080/30f); ld-265 (h.265/640*360/15f); sd-265 (h.265/960*540/25f); hd-265 (h.265/1280*720/25f); shd-265 (h.265/1920*1080/30f); """, dest='template', required=True)),
(['--audio-codec'], dict(help="""(string) 转码输出音频编码格式; - 取值: aac、mp3; - 不区分大小写; """, dest='audioCodec', required=True)),
(['--audio-format'], dict(help="""(string) 转码输出音频格式; - 取值: aac_lc,aac_low,aac_he,aac_he_v2; 默认:aac_he; - 不区分大小写; """, dest='audioFormat', required=False)),
(['--audio-sample-rate'], dict(help="""(int) 转码输出音频采样率; - 取值: [44100,48000]; """, dest='audioSampleRate', type=int, required=True)),
(['--audio-channel'], dict(help="""(int) 转码输出音频通道数; 1: 单声道; 2: 双声道; """, dest='audioChannel', type=int, required=True)),
(['--audio-code-rate'], dict(help="""(int) 转码输出音频码率; - 取值: [16,128]; - 单位: kbps; """, dest='audioCodeRate', type=int, required=True)),
(['--jdchd'], dict(help="""(string) 京享超清开关; - 取值: jdchd-1.0,off; - 京享超清暂时只支持h.264; """, dest='jdchd', required=False)),
(['--audio-comfort'], dict(help="""(string) 舒适音频; - 取值: on,off; """, dest='audioComfort', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加自定义转码模板; - 系统为您预设了标准转码模板,如果不能满足您的转码需求,可以通过此接口添加自定义转码模板; - 系统标准转码模板; ld (h.264/640*360/15f); sd (h.264/960*540/25f); hd (h.264/1280*720/25f); shd (h.264/1920*1080/30f); ld-265 (h.265/640*360/15f); sd-265 (h.265/960*540/25f); hd-265 (h.265/1280*720/25f); shd-265 (h.265/1920*1080/30f); ''',
description='''
添加自定义转码模板; - 系统为您预设了标准转码模板,如果不能满足您的转码需求,可以通过此接口添加自定义转码模板; - 系统标准转码模板; ld (h.264/640*360/15f); sd (h.264/960*540/25f); hd (h.264/1280*720/25f); shd (h.264/1920*1080/30f); ld-265 (h.265/640*360/15f); sd-265 (h.265/960*540/25f); hd-265 (h.265/1280*720/25f); shd-265 (h.265/1920*1080/30f); 。
示例: jdc live add-custom-live-stream-transcode-template --video-code-rate 0 --video-frame-rate xxx --template xxx --audio-codec xxx --audio-sample-rate 0 --audio-channel 0 --audio-code-rate 0
''',
)
def add_custom_live_stream_transcode_template(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddCustomLiveStreamTranscodeTemplateRequest import AddCustomLiveStreamTranscodeTemplateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddCustomLiveStreamTranscodeTemplateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码; - 取值范围 [1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围 [10, 100]; """, dest='pageSize', type=int, required=False)),
(['--filters'], dict(help="""(array: filter) 转码模板查询过滤条件:; - name: template 转码模板自定义名称; - value: 如果参数为空，则查询全部; - 如果为空,则表示查询该用下所有自定义的转码模板; """, dest='filters', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询用户自定义转码模板列表; ''',
description='''
查询用户自定义转码模板列表; 。
示例: jdc live describe-custom-live-stream-transcode-templates
''',
)
def describe_custom_live_stream_transcode_templates(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeCustomLiveStreamTranscodeTemplatesRequest import DescribeCustomLiveStreamTranscodeTemplatesRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeCustomLiveStreamTranscodeTemplatesRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码; - 取值范围 [1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围 [10, 100]; """, dest='pageSize', type=int, required=False)),
(['--filters'], dict(help="""(array: filter) 转码模板查询过滤条件:; - name: template 转码模板自定义名称; - value: 如果参数为空，则查询全部; - 如果为空,则表示查询该用下所有自定义的转码模板; """, dest='filters', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询系统默认转码模板列表; ''',
description='''
查询系统默认转码模板列表; 。
示例: jdc live describe-system-live-stream-transcode-templates
''',
)
def describe_system_live_stream_transcode_templates(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeSystemLiveStreamTranscodeTemplatesRequest import DescribeSystemLiveStreamTranscodeTemplatesRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeSystemLiveStreamTranscodeTemplatesRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码; - 取值范围 [1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围[10, 100]; """, dest='pageSize', type=int, required=False)),
(['--filters'], dict(help="""(array: filter) 模板配置查询过滤条件:; - name: publishDomain 必填(推流域名); - value: 参数; - name: appName 必填(应用名称); - value: 参数; - name: streamName 非必填(流名称); - value: 参数; """, dest='filters', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询转码模板配置; - 转码模板配置按照 域名,应用,流 3级配置添加,以最小的粒度配置生效原则; - 域名、应用、流 依次粒度递减 即: 域名>应用>流; - 该查询旨在查询域名、应用、流最终生效的转码模板配置,并非各级的模板绑定情况; ''',
description='''
查询转码模板配置; - 转码模板配置按照 域名,应用,流 3级配置添加,以最小的粒度配置生效原则; - 域名、应用、流 依次粒度递减 即: 域名>应用>流; - 该查询旨在查询域名、应用、流最终生效的转码模板配置,并非各级的模板绑定情况; 。
示例: jdc live describe-live-stream-transcode-config
''',
)
def describe_live_stream_transcode_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeLiveStreamTranscodeConfigRequest import DescribeLiveStreamTranscodeConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeLiveStreamTranscodeConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--template'], dict(help="""(string) 转码模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除域名级别转码模板配置; - 删除域名级别转码模板配置,重新推流后生效; ''',
description='''
删除域名级别转码模板配置; - 删除域名级别转码模板配置,重新推流后生效; 。
示例: jdc live delete-live-stream-domain-transcode --publish-domain xxx --template xxx
''',
)
def delete_live_stream_domain_transcode(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamDomainTranscodeRequest import DeleteLiveStreamDomainTranscodeRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamDomainTranscodeRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--template'], dict(help="""(string) 转码模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除应用级别转码模板配置; - 删除应用级别的转码模板配置,重新推流后生效; ''',
description='''
删除应用级别转码模板配置; - 删除应用级别的转码模板配置,重新推流后生效; 。
示例: jdc live delete-live-stream-app-transcode --publish-domain xxx --app-name xxx --template xxx
''',
)
def delete_live_stream_app_transcode(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamAppTranscodeRequest import DeleteLiveStreamAppTranscodeRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamAppTranscodeRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template'], dict(help="""(string) 转码模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询用户自定义转码模板详情; - 查询用户自定义转码模板详情; - 系统标准转码模板; ld (h.264/640*360/15f); sd (h.264/960*540/24f); hd (h.264/1280*720/25f); shd (h.264/1920*1080/30f); ld-265 (h.265/640*360/15f); sd-265 (h.265/960*540/24f); hd-265 (h.265/1280*720/25f); shd-265 (h.265/1920*1080/30f); ''',
description='''
查询用户自定义转码模板详情; - 查询用户自定义转码模板详情; - 系统标准转码模板; ld (h.264/640*360/15f); sd (h.264/960*540/24f); hd (h.264/1280*720/25f); shd (h.264/1920*1080/30f); ld-265 (h.265/640*360/15f); sd-265 (h.265/960*540/24f); hd-265 (h.265/1280*720/25f); shd-265 (h.265/1920*1080/30f); 。
示例: jdc live describe-custom-live-stream-transcode-template --template xxx
''',
)
def describe_custom_live_stream_transcode_template(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeCustomLiveStreamTranscodeTemplateRequest import DescribeCustomLiveStreamTranscodeTemplateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeCustomLiveStreamTranscodeTemplateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template'], dict(help="""(string) 转码模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除用户自定义转码模板; - 删除用户自定义转码模板之前必须先删除此模板在各域名、应用、流级别的转码设置; ''',
description='''
删除用户自定义转码模板; - 删除用户自定义转码模板之前必须先删除此模板在各域名、应用、流级别的转码设置; 。
示例: jdc live delete-custom-live-stream-transcode-template --template xxx
''',
)
def delete_custom_live_stream_transcode_template(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteCustomLiveStreamTranscodeTemplateRequest import DeleteCustomLiveStreamTranscodeTemplateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteCustomLiveStreamTranscodeTemplateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template'], dict(help="""(string) 转码模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询转码模板绑定; ''',
description='''
查询转码模板绑定; 。
示例: jdc live describe-transcode-binding --template xxx
''',
)
def describe_transcode_binding(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeTranscodeBindingRequest import DescribeTranscodeBindingRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeTranscodeBindingRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--position'], dict(help="""(int) 水印位置; - 取值范围：左上：1，右上：3， 左下：7，右下：9，默认：1; """, dest='position', type=int, required=False)),
(['--offset-unit'], dict(help="""(string) 偏移量单位; - 取值: percent,pixel; - percent:按百分比; pixel:像素 默认:pixel; """, dest='offsetUnit', required=False)),
(['--offset-x'], dict(help="""(int) x轴偏移量; - 取值范围; percent: (0,100]; pixel: (0,1920]; """, dest='offsetX', type=int, required=True)),
(['--offset-y'], dict(help="""(int) y轴偏移量:; - 取值范围; percent: (0,100]; pixel: (0,1920]; """, dest='offsetY', type=int, required=True)),
(['--size-unit'], dict(help="""(string) 水印大小单位; - 取值: percent,pixel; - percent:按百分比; pixel:像素 默认:pixel; """, dest='sizeUnit', required=False)),
(['--width'], dict(help="""(int) 水印宽度:; - 取值范围; percent: (0,100]; pixel: (0,1920]; """, dest='width', type=int, required=True)),
(['--height'], dict(help="""(int) 水印高度:; - 取值范围; percent: (0,100]; pixel: (0,1920]; """, dest='height', type=int, required=True)),
(['--template'], dict(help="""(string) 自定义水印模板名称; - 取值要求: 数字、大小写字母、短横线("-")、下划线("_"),;   首尾不能有特殊字符("-"),;   不超过50字符,utf-8格式; - <b>注意: 不能与已定义命名重复</b>; """, dest='template', required=True)),
(['--upload-id'], dict(help="""(string) 创建上传任务时返回的uploadId参数，当通过接口上传水印图片时，uploadId必填; """, dest='uploadId', required=False)),
(['--url'], dict(help="""(string) 水印地址<br>- 以 http:// 开头,可公开访问地址<br> """, dest='url', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加用户自定义水印模板; ''',
description='''
添加用户自定义水印模板; 。
示例: jdc live add-custom-live-stream-watermark-template --offset-x 0 --offset-y 0 --width 0 --height 0 --template xxx --url xxx
''',
)
def add_custom_live_stream_watermark_template(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddCustomLiveStreamWatermarkTemplateRequest import AddCustomLiveStreamWatermarkTemplateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddCustomLiveStreamWatermarkTemplateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码; - 取值范围 [1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围 [10, 100]; """, dest='pageSize', type=int, required=False)),
(['--filters'], dict(help="""(array: filter) 水印模板列表查询过滤条件:; - name: template 录制模板自定义名称; - value: 如果参数为空，则查询全部; """, dest='filters', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询用户定义水印模板列表; ''',
description='''
查询用户定义水印模板列表; 。
示例: jdc live describe-custom-live-stream-watermark-templates
''',
)
def describe_custom_live_stream_watermark_templates(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeCustomLiveStreamWatermarkTemplatesRequest import DescribeCustomLiveStreamWatermarkTemplatesRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeCustomLiveStreamWatermarkTemplatesRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--template'], dict(help="""(string) 水印模板名称; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加应用级别水印配置; ''',
description='''
添加应用级别水印配置; 。
示例: jdc live add-live-stream-app-watermark --publish-domain xxx --app-name xxx --template xxx
''',
)
def add_live_stream_app_watermark(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveStreamAppWatermarkRequest import AddLiveStreamAppWatermarkRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveStreamAppWatermarkRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--template'], dict(help="""(string) 水印模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 添加域名水印配置; ''',
description='''
添加域名水印配置; 。
示例: jdc live add-live-stream-domain-watermark --publish-domain xxx --template xxx
''',
)
def add_live_stream_domain_watermark(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.AddLiveStreamDomainWatermarkRequest import AddLiveStreamDomainWatermarkRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = AddLiveStreamDomainWatermarkRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--page-num'], dict(help="""(int) 页码; - 取值范围 [1, 100000]; """, dest='pageNum', type=int, required=False)),
(['--page-size'], dict(help="""(int) 分页大小; - 取值范围 [10, 100]; """, dest='pageSize', type=int, required=False)),
(['--filters'], dict(help="""(array: filter) 水印配置查询过滤条件:; - name: publishDomain，必填(推流域名); - value: 参数; - name: appName，必填(应用名称); - value: 参数; - name: streamName，非必填(流名称); - value: 参数; """, dest='filters', required=False)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询直播水印配置; - 水印模板配置按照 域名,应用,流 3级配置添加,以最小的粒度配置生效; - 域名、应用、流 依次粒度递减 即: 域名>应用>流; - 该查询旨在查询域名、应用、流最终生效的水印模板配置,并非各级的模板绑定情况; ''',
description='''
查询直播水印配置; - 水印模板配置按照 域名,应用,流 3级配置添加,以最小的粒度配置生效; - 域名、应用、流 依次粒度递减 即: 域名>应用>流; - 该查询旨在查询域名、应用、流最终生效的水印模板配置,并非各级的模板绑定情况; 。
示例: jdc live describe-custom-live-stream-watermark-config
''',
)
def describe_custom_live_stream_watermark_config(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeCustomLiveStreamWatermarkConfigRequest import DescribeCustomLiveStreamWatermarkConfigRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeCustomLiveStreamWatermarkConfigRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template'], dict(help="""(string) 水印模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除用户自定义水印模板; - 删除用户自定义水印模板之前必须先删除此模板在各域名、应用、流级别的水印设置; ''',
description='''
删除用户自定义水印模板; - 删除用户自定义水印模板之前必须先删除此模板在各域名、应用、流级别的水印设置; 。
示例: jdc live delete-custom-live-stream-watermark-template --template xxx
''',
)
def delete_custom_live_stream_watermark_template(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteCustomLiveStreamWatermarkTemplateRequest import DeleteCustomLiveStreamWatermarkTemplateRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteCustomLiveStreamWatermarkTemplateRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--app-name'], dict(help="""(string) 应用名称 """, dest='appName', required=True)),
(['--template'], dict(help="""(string) 水印模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除应用级别水印模板配置; - 删除应用级别的水印模板配置,重新推流后生效; ''',
description='''
删除应用级别水印模板配置; - 删除应用级别的水印模板配置,重新推流后生效; 。
示例: jdc live delete-live-stream-app-watermark --publish-domain xxx --app-name xxx --template xxx
''',
)
def delete_live_stream_app_watermark(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamAppWatermarkRequest import DeleteLiveStreamAppWatermarkRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamAppWatermarkRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--publish-domain'], dict(help="""(string) 推流域名 """, dest='publishDomain', required=True)),
(['--template'], dict(help="""(string) 水印模板; """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 删除域名级别水印模板配置; - 删除域名级别水印模板配置,重新推流后生效; ''',
description='''
删除域名级别水印模板配置; - 删除域名级别水印模板配置,重新推流后生效; 。
示例: jdc live delete-live-stream-domain-watermark --publish-domain xxx --template xxx
''',
)
def delete_live_stream_domain_watermark(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DeleteLiveStreamDomainWatermarkRequest import DeleteLiveStreamDomainWatermarkRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DeleteLiveStreamDomainWatermarkRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--template'], dict(help="""(string) 水印模板 """, dest='template', required=True)),
(['--input-json'], dict(help='(json) 以json字符串或文件绝对路径形式作为输入参数。\n字符串方式举例：--input-json \'{"field":"value"}\';\n文件格式举例：--input-json file:///xxxx.json', dest='input_json', required=False)),
(['--headers'], dict(help="""(json) 用户自定义Header，举例：'{"x-jdcloud-security-token":"abc","test":"123"}'""", dest='headers', required=False)),
],
formatter_class=RawTextHelpFormatter,
help=''' 查询水印模板绑定; ''',
description='''
查询水印模板绑定; 。
示例: jdc live describe-watermark-binding --template xxx
''',
)
def describe_watermark_binding(self):
client_factory = ClientFactory('live')
client = client_factory.get(self.app)
if client is None:
return
try:
from jdcloud_sdk.services.live.apis.DescribeWatermarkBindingRequest import DescribeWatermarkBindingRequest
params_dict = collect_user_args(self.app)
headers = collect_user_headers(self.app)
req = DescribeWatermarkBindingRequest(params_dict, headers)
resp = client.send(req)
Printer.print_result(resp)
except ImportError:
print('{"error":"This api is not supported, please use the newer version"}')
except Exception as e:
print(e)
@expose(
arguments=[
(['--api'], dict(help="""(string) api name """, choices=['describe-live-app','add-live-app','stop-live-app','describe-live-play-auth-key','set-live-play-auth-key','describe-live-restart-auth-key','set-live-restart-auth-key','describe-live-bill-data','describe-live-domain-certificate','set-live-domain-certificate','describe-live-restart-domain-certificate','set-live-restart-domain-certificate','describe-live-domains','add-live-domain','start-live-domain','stop-live-domain','describe-live-domain-detail','delete-live-domain','add-live-restart-domain','add-custom-live-stream-quality-detection-template','describe-custom-live-stream-quality-detection-templates','add-live-stream-app-quality-detection','add-live-stream-domain-quality-detection','set-live-stream-quality-detection-notify-config','delete-custom-live-stream-quality-detection-template','delete-live-stream-app-quality-detection','delete-live-stream-domain-quality-detection','describe-live-stream-quality-detection-notify-config','delete-live-stream-quality-detection-notify-config','describe-quality-detection-binding','open-live-p2p','close-live-p2p','describe-live-p2p-configs','describe-custom-live-stream-record-templates','add-custom-live-stream-record-template','add-live-stream-app-record','add-live-stream-domain-record','describe-custom-live-stream-record-config','set-live-stream-record-notify-config','delete-custom-live-stream-record-template','delete-live-stream-app-record','delete-live-stream-domain-record','describe-live-stream-record-notify-config','delete-live-stream-record-notify-config','add-live-record-task','describe-record-binding','describe-live-statistic-group-by-stream','describe-live-statistic-group-by-area','describe-live-statistic-group-by-area-isp','describe-publish-stream-info-data','describe-live-stream-history-user-num','describe-live-publish-stream-num','describe-live-stream-player-ranking-data','describe-live-transcode-stream-list','describe-live-transcode-stream-num','describe-live-transcode-stream-player-user-num','describe-live-transcode-stream-bandwidth','describe-domain-online-stream','describe-domains-log','describe-url-ranking','describe-live-transcoding-duration-data','describe-live-file-storage-data','describe-live-stream-bandwidth-data','describe-live-stream-publish-bandwidth-data','describe-live-stream-traffic-data','describe-live-stream-publish-traffic-data','describe-live-snapshot-data','describe-live-porn-data','add-custom-live-stream-snapshot-template','describe-custom-live-stream-snapshot-config','describe-custom-live-stream-snapshot-templates','add-live-stream-app-snapshot','add-live-stream-domain-snapshot','set-live-stream-snapshot-notify-config','delete-custom-live-stream-snapshot-template','delete-live-stream-app-snapshot','delete-live-stream-domain-snapshot','describe-live-stream-snapshot-notify-config','delete-live-stream-snapshot-notify-config','describe-snapshot-binding','forbid-live-stream','resume-live-stream','interrupt-live-stream','describe-live-stream-info','set-live-stream-notify-config','describe-live-stream-notify-config','delete-live-stream-notify-config','describe-live-stream-online-list','describe-live-stream-publish-list','open-live-restart','close-live-restart','describe-live-restart-configs','open-live-timeshift','close-live-timeshift','describe-live-timeshift-configs','add-live-stream-domain-transcode','add-live-stream-app-transcode','add-custom-live-stream-transcode-template','describe-custom-live-stream-transcode-templates','describe-system-live-stream-transcode-templates','describe-live-stream-transcode-config','delete-live-stream-domain-transcode','delete-live-stream-app-transcode','describe-custom-live-stream-transcode-template','delete-custom-live-stream-transcode-template','describe-transcode-binding','add-custom-live-stream-watermark-template','describe-custom-live-stream-watermark-templates','add-live-stream-app-watermark','add-live-stream-domain-watermark','describe-custom-live-stream-watermark-config','delete-custom-live-stream-watermark-template','delete-live-stream-app-watermark','delete-live-stream-domain-watermark','describe-watermark-binding',], required=True)),
],
formatter_class=RawTextHelpFormatter,
help=''' 生成单个API接口的json骨架空字符串 ''',
description='''
生成单个API接口的json骨架空字符串。
示例: jdc nc generate-skeleton --api describeContainer ''',
)
def generate_skeleton(self):
skeleton = Skeleton('live', self.app.pargs.api)
skeleton.show()
| 55.577511
| 4,183
| 0.609753
| 23,137
| 221,921
| 5.76691
| 0.045512
| 0.036334
| 0.032212
| 0.033036
| 0.822895
| 0.803746
| 0.781052
| 0.765748
| 0.754281
| 0.746539
| 0
| 0.012968
| 0.223706
| 221,921
| 3,992
| 4,184
| 55.591433
| 0.761534
| 0.002857
| 0
| 0.74069
| 0
| 0.07669
| 0.380458
| 0.14462
| 0
| 0
| 0
| 0
| 0
| 1
| 0.032
| false
| 0
| 0.065379
| 0
| 0.129655
| 0.095448
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
9df6dae3583d70c9f8e71b01a4c6af45504ed745
| 126
|
py
|
Python
|
genome_integration/resources/__init__.py
|
adriaan-vd-graaf/genome_integration
|
345eae53aab9a23c080ae10f2ee3d8305f75a5c6
|
[
"MIT"
] | 13
|
2019-08-18T15:48:35.000Z
|
2022-03-28T07:48:49.000Z
|
genome_integration/resources/__init__.py
|
adriaan-vd-graaf/genome_integration
|
345eae53aab9a23c080ae10f2ee3d8305f75a5c6
|
[
"MIT"
] | 1
|
2021-09-10T06:58:24.000Z
|
2021-09-10T07:50:45.000Z
|
genome_integration/resources/__init__.py
|
adriaan-vd-graaf/genome_integration
|
345eae53aab9a23c080ae10f2ee3d8305f75a5c6
|
[
"MIT"
] | null | null | null |
from genome_integration.resources.get_ensembl_gene_information import *
from genome_integration.resources.enrichments import *
| 63
| 71
| 0.896825
| 15
| 126
| 7.2
| 0.666667
| 0.185185
| 0.388889
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 126
| 2
| 72
| 63
| 0.907563
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
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| 1
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| 1
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| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 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
|
d1ac7dc44a57ec4a77b584c437ffa960c1fcca22
| 288,718
|
py
|
Python
|
h1/api/provider_project_development_api.py
|
hyperonecom/h1-client-python
|
4ce355852ba3120ec1b8f509ab5894a5c08da730
|
[
"MIT"
] | null | null | null |
h1/api/provider_project_development_api.py
|
hyperonecom/h1-client-python
|
4ce355852ba3120ec1b8f509ab5894a5c08da730
|
[
"MIT"
] | null | null | null |
h1/api/provider_project_development_api.py
|
hyperonecom/h1-client-python
|
4ce355852ba3120ec1b8f509ab5894a5c08da730
|
[
"MIT"
] | null | null | null |
"""
HyperOne
HyperOne API # noqa: E501
The version of the OpenAPI document: 0.1.0
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from h1.api_client import ApiClient, Endpoint as _Endpoint
from h1.model_utils import ( # noqa: F401
check_allowed_values,
check_validations,
date,
datetime,
file_type,
none_type,
validate_and_convert_types
)
from h1.model.development import Development
from h1.model.development_credential import DevelopmentCredential
from h1.model.domain import Domain
from h1.model.event import Event
from h1.model.inline_response400 import InlineResponse400
from h1.model.metric import Metric
from h1.model.point import Point
from h1.model.provider_env import ProviderEnv
from h1.model.provider_link import ProviderLink
from h1.model.provider_log import ProviderLog
from h1.model.provider_project_development_create import ProviderProjectDevelopmentCreate
from h1.model.provider_project_development_credential_patch import ProviderProjectDevelopmentCredentialPatch
from h1.model.provider_project_development_snapshot_download import ProviderProjectDevelopmentSnapshotDownload
from h1.model.provider_project_development_transfer import ProviderProjectDevelopmentTransfer
from h1.model.provider_project_development_update import ProviderProjectDevelopmentUpdate
from h1.model.provider_sideapp import ProviderSideapp
from h1.model.provider_snapshot import ProviderSnapshot
from h1.model.resource_connect import ResourceConnect
from h1.model.resource_service import ResourceService
from h1.model.tag import Tag
from h1.model.tag_array import TagArray
class ProviderProjectDevelopmentApi(object):
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def __provider_project_development_connect_get(
self,
project_id,
location_id,
development_id,
connect_id,
**kwargs
):
"""Get provider/development.connect # noqa: E501
Get provider/development.connect # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_connect_get(project_id, location_id, development_id, connect_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
connect_id (str): connectId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
ResourceConnect
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['connect_id'] = \
connect_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_connect_get = _Endpoint(
settings={
'response_type': (ResourceConnect,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/connect/{connectId}',
'operation_id': 'provider_project_development_connect_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'connect_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'connect_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'connect_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'connect_id': 'connectId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'connect_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_connect_get
)
def __provider_project_development_connect_list(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""List provider/development.connect # noqa: E501
List provider/development.connect # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_connect_list(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[ResourceConnect]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_connect_list = _Endpoint(
settings={
'response_type': ([ResourceConnect],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/connect',
'operation_id': 'provider_project_development_connect_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_connect_list
)
def __provider_project_development_create(
self,
project_id,
location_id,
provider_project_development_create,
**kwargs
):
"""Create provider/development # noqa: E501
Create development # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_create(project_id, location_id, provider_project_development_create, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
provider_project_development_create (ProviderProjectDevelopmentCreate):
Keyword Args:
x_idempotency_key (str): Idempotency key. [optional]
x_dry_run (str): Dry run. [optional]
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Development
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['provider_project_development_create'] = \
provider_project_development_create
return self.call_with_http_info(**kwargs)
self.provider_project_development_create = _Endpoint(
settings={
'response_type': (Development,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development',
'operation_id': 'provider_project_development_create',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'provider_project_development_create',
'x_idempotency_key',
'x_dry_run',
],
'required': [
'project_id',
'location_id',
'provider_project_development_create',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'provider_project_development_create':
(ProviderProjectDevelopmentCreate,),
'x_idempotency_key':
(str,),
'x_dry_run':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'x_idempotency_key': 'x-idempotency-key',
'x_dry_run': 'x-dry-run',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'provider_project_development_create': 'body',
'x_idempotency_key': 'header',
'x_dry_run': 'header',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client,
callable=__provider_project_development_create
)
def __provider_project_development_credential_create(
self,
project_id,
location_id,
development_id,
development_credential,
**kwargs
):
"""Create provider/development.credential # noqa: E501
Create provider/development.credential # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_credential_create(project_id, location_id, development_id, development_credential, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
development_credential (DevelopmentCredential):
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
DevelopmentCredential
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['development_credential'] = \
development_credential
return self.call_with_http_info(**kwargs)
self.provider_project_development_credential_create = _Endpoint(
settings={
'response_type': (DevelopmentCredential,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/credential',
'operation_id': 'provider_project_development_credential_create',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'development_credential',
],
'required': [
'project_id',
'location_id',
'development_id',
'development_credential',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'development_credential':
(DevelopmentCredential,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'development_credential': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client,
callable=__provider_project_development_credential_create
)
def __provider_project_development_credential_delete(
self,
project_id,
location_id,
development_id,
credential_id,
**kwargs
):
"""Delete provider/development.credential # noqa: E501
Delete provider/development.credential # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_credential_delete(project_id, location_id, development_id, credential_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
credential_id (str): credentialId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Development
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['credential_id'] = \
credential_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_credential_delete = _Endpoint(
settings={
'response_type': (Development,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/credential/{credentialId}',
'operation_id': 'provider_project_development_credential_delete',
'http_method': 'DELETE',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'credential_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'credential_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'credential_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'credential_id': 'credentialId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'credential_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_credential_delete
)
def __provider_project_development_credential_get(
self,
project_id,
location_id,
development_id,
credential_id,
**kwargs
):
"""Get provider/development.credential # noqa: E501
Get provider/development.credential # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_credential_get(project_id, location_id, development_id, credential_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
credential_id (str): credentialId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
DevelopmentCredential
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['credential_id'] = \
credential_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_credential_get = _Endpoint(
settings={
'response_type': (DevelopmentCredential,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/credential/{credentialId}',
'operation_id': 'provider_project_development_credential_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'credential_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'credential_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'credential_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'credential_id': 'credentialId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'credential_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_credential_get
)
def __provider_project_development_credential_list(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""List provider/development.credential # noqa: E501
List provider/development.credential # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_credential_list(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[DevelopmentCredential]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_credential_list = _Endpoint(
settings={
'response_type': ([DevelopmentCredential],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/credential',
'operation_id': 'provider_project_development_credential_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_credential_list
)
def __provider_project_development_credential_patch(
self,
project_id,
location_id,
development_id,
credential_id,
provider_project_development_credential_patch,
**kwargs
):
"""Update provider/development.credential # noqa: E501
Update provider/development.credential # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_credential_patch(project_id, location_id, development_id, credential_id, provider_project_development_credential_patch, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
credential_id (str): credentialId
provider_project_development_credential_patch (ProviderProjectDevelopmentCredentialPatch):
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
DevelopmentCredential
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['credential_id'] = \
credential_id
kwargs['provider_project_development_credential_patch'] = \
provider_project_development_credential_patch
return self.call_with_http_info(**kwargs)
self.provider_project_development_credential_patch = _Endpoint(
settings={
'response_type': (DevelopmentCredential,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/credential/{credentialId}',
'operation_id': 'provider_project_development_credential_patch',
'http_method': 'PATCH',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'credential_id',
'provider_project_development_credential_patch',
],
'required': [
'project_id',
'location_id',
'development_id',
'credential_id',
'provider_project_development_credential_patch',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'credential_id':
(str,),
'provider_project_development_credential_patch':
(ProviderProjectDevelopmentCredentialPatch,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'credential_id': 'credentialId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'credential_id': 'path',
'provider_project_development_credential_patch': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client,
callable=__provider_project_development_credential_patch
)
def __provider_project_development_delete(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""Delete provider/development # noqa: E501
Delete development # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_delete(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
None
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_delete = _Endpoint(
settings={
'response_type': None,
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}',
'operation_id': 'provider_project_development_delete',
'http_method': 'DELETE',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_delete
)
def __provider_project_development_domain_create(
self,
project_id,
location_id,
development_id,
domain,
**kwargs
):
"""Create provider/development.domain # noqa: E501
Create provider/development.domain # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_domain_create(project_id, location_id, development_id, domain, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
domain (Domain):
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Domain
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['domain'] = \
domain
return self.call_with_http_info(**kwargs)
self.provider_project_development_domain_create = _Endpoint(
settings={
'response_type': (Domain,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/domain',
'operation_id': 'provider_project_development_domain_create',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'domain',
],
'required': [
'project_id',
'location_id',
'development_id',
'domain',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'domain':
(Domain,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'domain': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client,
callable=__provider_project_development_domain_create
)
def __provider_project_development_domain_delete(
self,
project_id,
location_id,
development_id,
domain_id,
**kwargs
):
"""Delete provider/development.domain # noqa: E501
Delete provider/development.domain # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_domain_delete(project_id, location_id, development_id, domain_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
domain_id (str): domainId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
None
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['domain_id'] = \
domain_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_domain_delete = _Endpoint(
settings={
'response_type': None,
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/domain/{domainId}',
'operation_id': 'provider_project_development_domain_delete',
'http_method': 'DELETE',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'domain_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'domain_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'domain_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'domain_id': 'domainId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'domain_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_domain_delete
)
def __provider_project_development_domain_get(
self,
project_id,
location_id,
development_id,
domain_id,
**kwargs
):
"""Get provider/development.domain # noqa: E501
Get provider/development.domain # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_domain_get(project_id, location_id, development_id, domain_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
domain_id (str): domainId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Domain
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['domain_id'] = \
domain_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_domain_get = _Endpoint(
settings={
'response_type': (Domain,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/domain/{domainId}',
'operation_id': 'provider_project_development_domain_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'domain_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'domain_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'domain_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'domain_id': 'domainId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'domain_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_domain_get
)
def __provider_project_development_domain_list(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""List provider/development.domain # noqa: E501
List provider/development.domain # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_domain_list(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[Domain]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_domain_list = _Endpoint(
settings={
'response_type': ([Domain],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/domain',
'operation_id': 'provider_project_development_domain_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_domain_list
)
def __provider_project_development_env_create(
self,
project_id,
location_id,
development_id,
provider_env,
**kwargs
):
"""Create provider/development.env # noqa: E501
Create provider/development.env # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_env_create(project_id, location_id, development_id, provider_env, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
provider_env (ProviderEnv):
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
ProviderEnv
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['provider_env'] = \
provider_env
return self.call_with_http_info(**kwargs)
self.provider_project_development_env_create = _Endpoint(
settings={
'response_type': (ProviderEnv,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/env',
'operation_id': 'provider_project_development_env_create',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'provider_env',
],
'required': [
'project_id',
'location_id',
'development_id',
'provider_env',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'provider_env':
(ProviderEnv,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'provider_env': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client,
callable=__provider_project_development_env_create
)
def __provider_project_development_env_delete(
self,
project_id,
location_id,
development_id,
env_id,
**kwargs
):
"""Delete provider/development.env # noqa: E501
Delete provider/development.env # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_env_delete(project_id, location_id, development_id, env_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
env_id (str): envId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
None
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['env_id'] = \
env_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_env_delete = _Endpoint(
settings={
'response_type': None,
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/env/{envId}',
'operation_id': 'provider_project_development_env_delete',
'http_method': 'DELETE',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'env_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'env_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'env_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'env_id': 'envId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'env_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_env_delete
)
def __provider_project_development_env_get(
self,
project_id,
location_id,
development_id,
env_id,
**kwargs
):
"""Get provider/development.env # noqa: E501
Get provider/development.env # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_env_get(project_id, location_id, development_id, env_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
env_id (str): envId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
ProviderEnv
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['env_id'] = \
env_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_env_get = _Endpoint(
settings={
'response_type': (ProviderEnv,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/env/{envId}',
'operation_id': 'provider_project_development_env_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'env_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'env_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'env_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'env_id': 'envId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'env_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_env_get
)
def __provider_project_development_env_list(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""List provider/development.env # noqa: E501
List provider/development.env # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_env_list(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[ProviderEnv]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_env_list = _Endpoint(
settings={
'response_type': ([ProviderEnv],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/env',
'operation_id': 'provider_project_development_env_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_env_list
)
def __provider_project_development_event_get(
self,
project_id,
location_id,
development_id,
event_id,
**kwargs
):
"""Get provider/development.event # noqa: E501
Get provider/development.event # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_event_get(project_id, location_id, development_id, event_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
event_id (str): eventId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Event
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['event_id'] = \
event_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_event_get = _Endpoint(
settings={
'response_type': (Event,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/event/{eventId}',
'operation_id': 'provider_project_development_event_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'event_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'event_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'event_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'event_id': 'eventId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'event_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_event_get
)
def __provider_project_development_event_list(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""List provider/development.event # noqa: E501
List provider/development.event # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_event_list(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
limit (float): $limit. [optional] if omitted the server will use the default value of 100
skip (float): $skip. [optional]
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[Event]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_event_list = _Endpoint(
settings={
'response_type': ([Event],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/event',
'operation_id': 'provider_project_development_event_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'limit',
'skip',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
'limit',
]
},
root_map={
'validations': {
('limit',): {
'inclusive_maximum': 1000,
'inclusive_minimum': 1,
},
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'limit':
(float,),
'skip':
(float,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'limit': '$limit',
'skip': '$skip',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'limit': 'query',
'skip': 'query',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_event_list
)
def __provider_project_development_get(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""Get provider/development # noqa: E501
Returns a single development # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_get(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Development
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_get = _Endpoint(
settings={
'response_type': (Development,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}',
'operation_id': 'provider_project_development_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_get
)
def __provider_project_development_link_create(
self,
project_id,
location_id,
development_id,
provider_link,
**kwargs
):
"""Create provider/development.link # noqa: E501
Create provider/development.link # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_link_create(project_id, location_id, development_id, provider_link, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
provider_link (ProviderLink):
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
ProviderLink
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['provider_link'] = \
provider_link
return self.call_with_http_info(**kwargs)
self.provider_project_development_link_create = _Endpoint(
settings={
'response_type': (ProviderLink,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/link',
'operation_id': 'provider_project_development_link_create',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'provider_link',
],
'required': [
'project_id',
'location_id',
'development_id',
'provider_link',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'provider_link':
(ProviderLink,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'provider_link': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client,
callable=__provider_project_development_link_create
)
def __provider_project_development_link_delete(
self,
project_id,
location_id,
development_id,
link_id,
**kwargs
):
"""Delete provider/development.link # noqa: E501
Delete provider/development.link # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_link_delete(project_id, location_id, development_id, link_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
link_id (str): linkId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
None
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['link_id'] = \
link_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_link_delete = _Endpoint(
settings={
'response_type': None,
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/link/{linkId}',
'operation_id': 'provider_project_development_link_delete',
'http_method': 'DELETE',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'link_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'link_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'link_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'link_id': 'linkId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'link_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_link_delete
)
def __provider_project_development_link_get(
self,
project_id,
location_id,
development_id,
link_id,
**kwargs
):
"""Get provider/development.link # noqa: E501
Get provider/development.link # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_link_get(project_id, location_id, development_id, link_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
link_id (str): linkId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
ProviderLink
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['link_id'] = \
link_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_link_get = _Endpoint(
settings={
'response_type': (ProviderLink,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/link/{linkId}',
'operation_id': 'provider_project_development_link_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'link_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'link_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'link_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'link_id': 'linkId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'link_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_link_get
)
def __provider_project_development_link_list(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""List provider/development.link # noqa: E501
List provider/development.link # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_link_list(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[ProviderLink]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_link_list = _Endpoint(
settings={
'response_type': ([ProviderLink],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/link',
'operation_id': 'provider_project_development_link_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_link_list
)
def __provider_project_development_list(
self,
project_id,
location_id,
**kwargs
):
"""List provider/development # noqa: E501
List development # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_list(project_id, location_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
Keyword Args:
name (str): Filter by name. [optional]
tag_value (str): Filter by tag.value. [optional]
tag_key (str): Filter by tag.key. [optional]
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[Development]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_list = _Endpoint(
settings={
'response_type': ([Development],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development',
'operation_id': 'provider_project_development_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'name',
'tag_value',
'tag_key',
],
'required': [
'project_id',
'location_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'name':
(str,),
'tag_value':
(str,),
'tag_key':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'name': 'name',
'tag_value': 'tag.value',
'tag_key': 'tag.key',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'name': 'query',
'tag_value': 'query',
'tag_key': 'query',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_list
)
def __provider_project_development_log_get(
self,
project_id,
location_id,
development_id,
log_id,
**kwargs
):
"""Get provider/development.log # noqa: E501
Get provider/development.log # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_log_get(project_id, location_id, development_id, log_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
log_id (str): logId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
ProviderLog
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['log_id'] = \
log_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_log_get = _Endpoint(
settings={
'response_type': (ProviderLog,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/log/{logId}',
'operation_id': 'provider_project_development_log_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'log_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'log_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'log_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'log_id': 'logId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'log_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_log_get
)
def __provider_project_development_log_list(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""List provider/development.log # noqa: E501
List provider/development.log # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_log_list(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[ProviderLog]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_log_list = _Endpoint(
settings={
'response_type': ([ProviderLog],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/log',
'operation_id': 'provider_project_development_log_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_log_list
)
def __provider_project_development_log_read(
self,
project_id,
location_id,
development_id,
log_id,
**kwargs
):
"""Read provider/development.log # noqa: E501
action read # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_log_read(project_id, location_id, development_id, log_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
log_id (str): logId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
None
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['log_id'] = \
log_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_log_read = _Endpoint(
settings={
'response_type': None,
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/log/{logId}/actions/read',
'operation_id': 'provider_project_development_log_read',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'log_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'log_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'log_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'log_id': 'logId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'log_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_log_read
)
def __provider_project_development_metric_get(
self,
project_id,
location_id,
development_id,
metric_id,
**kwargs
):
"""Get provider/development.metric # noqa: E501
Get provider/development.metric # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_metric_get(project_id, location_id, development_id, metric_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
metric_id (str): metricId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Metric
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['metric_id'] = \
metric_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_metric_get = _Endpoint(
settings={
'response_type': (Metric,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/metric/{metricId}',
'operation_id': 'provider_project_development_metric_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'metric_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'metric_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'metric_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'metric_id': 'metricId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'metric_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_metric_get
)
def __provider_project_development_metric_list(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""List provider/development.metric # noqa: E501
List provider/development.metric # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_metric_list(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[Metric]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_metric_list = _Endpoint(
settings={
'response_type': ([Metric],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/metric',
'operation_id': 'provider_project_development_metric_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_metric_list
)
def __provider_project_development_metric_point_list(
self,
project_id,
location_id,
development_id,
metric_id,
**kwargs
):
"""List provider/development.point # noqa: E501
List provider/development.point # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_metric_point_list(project_id, location_id, development_id, metric_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
metric_id (str): metricId
Keyword Args:
interval (str): interval. [optional]
timespan (str): timespan. [optional]
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[Point]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['metric_id'] = \
metric_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_metric_point_list = _Endpoint(
settings={
'response_type': ([Point],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/metric/{metricId}/point',
'operation_id': 'provider_project_development_metric_point_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'metric_id',
'interval',
'timespan',
],
'required': [
'project_id',
'location_id',
'development_id',
'metric_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'metric_id':
(str,),
'interval':
(str,),
'timespan':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'metric_id': 'metricId',
'interval': 'interval',
'timespan': 'timespan',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'metric_id': 'path',
'interval': 'query',
'timespan': 'query',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_metric_point_list
)
def __provider_project_development_restart(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""Restart provider/development # noqa: E501
action restart # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_restart(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
x_idempotency_key (str): Idempotency key. [optional]
x_dry_run (str): Dry run. [optional]
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Development
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_restart = _Endpoint(
settings={
'response_type': (Development,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/actions/restart',
'operation_id': 'provider_project_development_restart',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'x_idempotency_key',
'x_dry_run',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'x_idempotency_key':
(str,),
'x_dry_run':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'x_idempotency_key': 'x-idempotency-key',
'x_dry_run': 'x-dry-run',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'x_idempotency_key': 'header',
'x_dry_run': 'header',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_restart
)
def __provider_project_development_service_get(
self,
project_id,
location_id,
development_id,
service_id,
**kwargs
):
"""Get provider/development.service # noqa: E501
Get provider/development.service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_service_get(project_id, location_id, development_id, service_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
service_id (str): serviceId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
ResourceService
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['service_id'] = \
service_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_service_get = _Endpoint(
settings={
'response_type': (ResourceService,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/service/{serviceId}',
'operation_id': 'provider_project_development_service_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'service_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'service_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'service_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'service_id': 'serviceId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'service_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_service_get
)
def __provider_project_development_service_list(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""List provider/development.service # noqa: E501
List provider/development.service # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_service_list(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[ResourceService]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_service_list = _Endpoint(
settings={
'response_type': ([ResourceService],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/service',
'operation_id': 'provider_project_development_service_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_service_list
)
def __provider_project_development_sideapp_get(
self,
project_id,
location_id,
development_id,
sideapp_id,
**kwargs
):
"""Get provider/development.sideapp # noqa: E501
Get provider/development.sideapp # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_sideapp_get(project_id, location_id, development_id, sideapp_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
sideapp_id (str): sideappId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
ProviderSideapp
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['sideapp_id'] = \
sideapp_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_sideapp_get = _Endpoint(
settings={
'response_type': (ProviderSideapp,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/sideapp/{sideappId}',
'operation_id': 'provider_project_development_sideapp_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'sideapp_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'sideapp_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'sideapp_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'sideapp_id': 'sideappId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'sideapp_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_sideapp_get
)
def __provider_project_development_sideapp_list(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""List provider/development.sideapp # noqa: E501
List provider/development.sideapp # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_sideapp_list(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[ProviderSideapp]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_sideapp_list = _Endpoint(
settings={
'response_type': ([ProviderSideapp],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/sideapp',
'operation_id': 'provider_project_development_sideapp_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_sideapp_list
)
def __provider_project_development_sideapp_open(
self,
project_id,
location_id,
development_id,
sideapp_id,
**kwargs
):
"""Open provider/development.sideapp # noqa: E501
action open # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_sideapp_open(project_id, location_id, development_id, sideapp_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
sideapp_id (str): sideappId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
None
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['sideapp_id'] = \
sideapp_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_sideapp_open = _Endpoint(
settings={
'response_type': None,
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/sideapp/{sideappId}/actions/open',
'operation_id': 'provider_project_development_sideapp_open',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'sideapp_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'sideapp_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'sideapp_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'sideapp_id': 'sideappId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'sideapp_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_sideapp_open
)
def __provider_project_development_snapshot_create(
self,
project_id,
location_id,
development_id,
provider_snapshot,
**kwargs
):
"""Create provider/development.snapshot # noqa: E501
Create provider/development.snapshot # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_snapshot_create(project_id, location_id, development_id, provider_snapshot, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
provider_snapshot (ProviderSnapshot):
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
ProviderSnapshot
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['provider_snapshot'] = \
provider_snapshot
return self.call_with_http_info(**kwargs)
self.provider_project_development_snapshot_create = _Endpoint(
settings={
'response_type': (ProviderSnapshot,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/snapshot',
'operation_id': 'provider_project_development_snapshot_create',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'provider_snapshot',
],
'required': [
'project_id',
'location_id',
'development_id',
'provider_snapshot',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'provider_snapshot':
(ProviderSnapshot,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'provider_snapshot': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client,
callable=__provider_project_development_snapshot_create
)
def __provider_project_development_snapshot_delete(
self,
project_id,
location_id,
development_id,
snapshot_id,
**kwargs
):
"""Delete provider/development.snapshot # noqa: E501
Delete provider/development.snapshot # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_snapshot_delete(project_id, location_id, development_id, snapshot_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
snapshot_id (str): snapshotId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Development
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['snapshot_id'] = \
snapshot_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_snapshot_delete = _Endpoint(
settings={
'response_type': (Development,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/snapshot/{snapshotId}',
'operation_id': 'provider_project_development_snapshot_delete',
'http_method': 'DELETE',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'snapshot_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'snapshot_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'snapshot_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'snapshot_id': 'snapshotId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'snapshot_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_snapshot_delete
)
def __provider_project_development_snapshot_download(
self,
project_id,
location_id,
development_id,
snapshot_id,
provider_project_development_snapshot_download,
**kwargs
):
"""Download provider/development.snapshot # noqa: E501
action download # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_snapshot_download(project_id, location_id, development_id, snapshot_id, provider_project_development_snapshot_download, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
snapshot_id (str): snapshotId
provider_project_development_snapshot_download (ProviderProjectDevelopmentSnapshotDownload):
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
None
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['snapshot_id'] = \
snapshot_id
kwargs['provider_project_development_snapshot_download'] = \
provider_project_development_snapshot_download
return self.call_with_http_info(**kwargs)
self.provider_project_development_snapshot_download = _Endpoint(
settings={
'response_type': None,
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/snapshot/{snapshotId}/actions/download',
'operation_id': 'provider_project_development_snapshot_download',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'snapshot_id',
'provider_project_development_snapshot_download',
],
'required': [
'project_id',
'location_id',
'development_id',
'snapshot_id',
'provider_project_development_snapshot_download',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'snapshot_id':
(str,),
'provider_project_development_snapshot_download':
(ProviderProjectDevelopmentSnapshotDownload,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'snapshot_id': 'snapshotId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'snapshot_id': 'path',
'provider_project_development_snapshot_download': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client,
callable=__provider_project_development_snapshot_download
)
def __provider_project_development_snapshot_get(
self,
project_id,
location_id,
development_id,
snapshot_id,
**kwargs
):
"""Get provider/development.snapshot # noqa: E501
Get provider/development.snapshot # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_snapshot_get(project_id, location_id, development_id, snapshot_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
snapshot_id (str): snapshotId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
ProviderSnapshot
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['snapshot_id'] = \
snapshot_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_snapshot_get = _Endpoint(
settings={
'response_type': (ProviderSnapshot,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/snapshot/{snapshotId}',
'operation_id': 'provider_project_development_snapshot_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'snapshot_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'snapshot_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'snapshot_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'snapshot_id': 'snapshotId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'snapshot_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_snapshot_get
)
def __provider_project_development_snapshot_list(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""List provider/development.snapshot # noqa: E501
List provider/development.snapshot # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_snapshot_list(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[ProviderSnapshot]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_snapshot_list = _Endpoint(
settings={
'response_type': ([ProviderSnapshot],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/snapshot',
'operation_id': 'provider_project_development_snapshot_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_snapshot_list
)
def __provider_project_development_start(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""Start provider/development # noqa: E501
action start # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_start(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
x_idempotency_key (str): Idempotency key. [optional]
x_dry_run (str): Dry run. [optional]
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Development
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_start = _Endpoint(
settings={
'response_type': (Development,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/actions/start',
'operation_id': 'provider_project_development_start',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'x_idempotency_key',
'x_dry_run',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'x_idempotency_key':
(str,),
'x_dry_run':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'x_idempotency_key': 'x-idempotency-key',
'x_dry_run': 'x-dry-run',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'x_idempotency_key': 'header',
'x_dry_run': 'header',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_start
)
def __provider_project_development_stop(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""Stop provider/development # noqa: E501
action stop # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_stop(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
x_idempotency_key (str): Idempotency key. [optional]
x_dry_run (str): Dry run. [optional]
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Development
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_stop = _Endpoint(
settings={
'response_type': (Development,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/actions/stop',
'operation_id': 'provider_project_development_stop',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'x_idempotency_key',
'x_dry_run',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'x_idempotency_key':
(str,),
'x_dry_run':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'x_idempotency_key': 'x-idempotency-key',
'x_dry_run': 'x-dry-run',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'x_idempotency_key': 'header',
'x_dry_run': 'header',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_stop
)
def __provider_project_development_tag_create(
self,
project_id,
location_id,
development_id,
tag,
**kwargs
):
"""Create provider/development.tag # noqa: E501
Create provider/development.tag # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_tag_create(project_id, location_id, development_id, tag, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
tag (Tag):
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Tag
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['tag'] = \
tag
return self.call_with_http_info(**kwargs)
self.provider_project_development_tag_create = _Endpoint(
settings={
'response_type': (Tag,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/tag',
'operation_id': 'provider_project_development_tag_create',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'tag',
],
'required': [
'project_id',
'location_id',
'development_id',
'tag',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'tag':
(Tag,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'tag': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client,
callable=__provider_project_development_tag_create
)
def __provider_project_development_tag_delete(
self,
project_id,
location_id,
development_id,
tag_id,
**kwargs
):
"""Delete provider/development.tag # noqa: E501
Delete provider/development.tag # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_tag_delete(project_id, location_id, development_id, tag_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
tag_id (str): tagId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
None
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['tag_id'] = \
tag_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_tag_delete = _Endpoint(
settings={
'response_type': None,
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/tag/{tagId}',
'operation_id': 'provider_project_development_tag_delete',
'http_method': 'DELETE',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'tag_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'tag_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'tag_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'tag_id': 'tagId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'tag_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_tag_delete
)
def __provider_project_development_tag_get(
self,
project_id,
location_id,
development_id,
tag_id,
**kwargs
):
"""Get provider/development.tag # noqa: E501
Get provider/development.tag # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_tag_get(project_id, location_id, development_id, tag_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
tag_id (str): tagId
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Tag
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['tag_id'] = \
tag_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_tag_get = _Endpoint(
settings={
'response_type': (Tag,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/tag/{tagId}',
'operation_id': 'provider_project_development_tag_get',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'tag_id',
],
'required': [
'project_id',
'location_id',
'development_id',
'tag_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'tag_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'tag_id': 'tagId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'tag_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_tag_get
)
def __provider_project_development_tag_list(
self,
project_id,
location_id,
development_id,
**kwargs
):
"""List provider/development.tag # noqa: E501
List provider/development.tag # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_tag_list(project_id, location_id, development_id, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[Tag]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
return self.call_with_http_info(**kwargs)
self.provider_project_development_tag_list = _Endpoint(
settings={
'response_type': ([Tag],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/tag',
'operation_id': 'provider_project_development_tag_list',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
],
'required': [
'project_id',
'location_id',
'development_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client,
callable=__provider_project_development_tag_list
)
def __provider_project_development_tag_put(
self,
project_id,
location_id,
development_id,
tag_array,
**kwargs
):
"""Replace provider/development.tag # noqa: E501
Replace provider/development.tag # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_tag_put(project_id, location_id, development_id, tag_array, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
tag_array (TagArray):
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
[Tag]
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['tag_array'] = \
tag_array
return self.call_with_http_info(**kwargs)
self.provider_project_development_tag_put = _Endpoint(
settings={
'response_type': ([Tag],),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/tag',
'operation_id': 'provider_project_development_tag_put',
'http_method': 'PUT',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'tag_array',
],
'required': [
'project_id',
'location_id',
'development_id',
'tag_array',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'tag_array':
(TagArray,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'tag_array': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client,
callable=__provider_project_development_tag_put
)
def __provider_project_development_transfer(
self,
project_id,
location_id,
development_id,
provider_project_development_transfer,
**kwargs
):
"""Transfer provider/development # noqa: E501
action transfer # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_transfer(project_id, location_id, development_id, provider_project_development_transfer, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
provider_project_development_transfer (ProviderProjectDevelopmentTransfer):
Keyword Args:
x_idempotency_key (str): Idempotency key. [optional]
x_dry_run (str): Dry run. [optional]
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Development
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['provider_project_development_transfer'] = \
provider_project_development_transfer
return self.call_with_http_info(**kwargs)
self.provider_project_development_transfer = _Endpoint(
settings={
'response_type': (Development,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}/actions/transfer',
'operation_id': 'provider_project_development_transfer',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'provider_project_development_transfer',
'x_idempotency_key',
'x_dry_run',
],
'required': [
'project_id',
'location_id',
'development_id',
'provider_project_development_transfer',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'provider_project_development_transfer':
(ProviderProjectDevelopmentTransfer,),
'x_idempotency_key':
(str,),
'x_dry_run':
(str,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
'x_idempotency_key': 'x-idempotency-key',
'x_dry_run': 'x-dry-run',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'provider_project_development_transfer': 'body',
'x_idempotency_key': 'header',
'x_dry_run': 'header',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client,
callable=__provider_project_development_transfer
)
def __provider_project_development_update(
self,
project_id,
location_id,
development_id,
provider_project_development_update,
**kwargs
):
"""Update provider/development # noqa: E501
Returns modified development # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.provider_project_development_update(project_id, location_id, development_id, provider_project_development_update, async_req=True)
>>> result = thread.get()
Args:
project_id (str): Project Id
location_id (str): Location Id
development_id (str): Development Id
provider_project_development_update (ProviderProjectDevelopmentUpdate):
Keyword Args:
_return_http_data_only (bool): response data without head status
code and headers. Default is True.
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (float/tuple): timeout setting for this request. If one
number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
async_req (bool): execute request asynchronously
Returns:
Development
If the method is called asynchronously, returns the request
thread.
"""
kwargs['async_req'] = kwargs.get(
'async_req', False
)
kwargs['_return_http_data_only'] = kwargs.get(
'_return_http_data_only', True
)
kwargs['_preload_content'] = kwargs.get(
'_preload_content', True
)
kwargs['_request_timeout'] = kwargs.get(
'_request_timeout', None
)
kwargs['_check_input_type'] = kwargs.get(
'_check_input_type', True
)
kwargs['_check_return_type'] = kwargs.get(
'_check_return_type', True
)
kwargs['_host_index'] = kwargs.get('_host_index')
kwargs['project_id'] = \
project_id
kwargs['location_id'] = \
location_id
kwargs['development_id'] = \
development_id
kwargs['provider_project_development_update'] = \
provider_project_development_update
return self.call_with_http_info(**kwargs)
self.provider_project_development_update = _Endpoint(
settings={
'response_type': (Development,),
'auth': [
'BearerAuth'
],
'endpoint_path': '/provider/{locationId}/project/{projectId}/development/{developmentId}',
'operation_id': 'provider_project_development_update',
'http_method': 'PATCH',
'servers': None,
},
params_map={
'all': [
'project_id',
'location_id',
'development_id',
'provider_project_development_update',
],
'required': [
'project_id',
'location_id',
'development_id',
'provider_project_development_update',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'project_id':
(str,),
'location_id':
(str,),
'development_id':
(str,),
'provider_project_development_update':
(ProviderProjectDevelopmentUpdate,),
},
'attribute_map': {
'project_id': 'projectId',
'location_id': 'locationId',
'development_id': 'developmentId',
},
'location_map': {
'project_id': 'path',
'location_id': 'path',
'development_id': 'path',
'provider_project_development_update': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json'
]
},
api_client=api_client,
callable=__provider_project_development_update
)
| 38.004212
| 193
| 0.459486
| 23,368
| 288,718
| 5.377354
| 0.010784
| 0.04018
| 0.029222
| 0.038557
| 0.97408
| 0.951838
| 0.926921
| 0.925456
| 0.911434
| 0.909524
| 0
| 0.002615
| 0.458184
| 288,718
| 7,596
| 194
| 38.009215
| 0.800661
| 0.288035
| 0
| 0.752415
| 1
| 0
| 0.24857
| 0.057683
| 0
| 0
| 0
| 0
| 0
| 1
| 0.009658
| false
| 0
| 0.004643
| 0
| 0.02396
| 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
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| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 8
|
d1b0c6012f102dcd44b51bd8e13d8db4c42aed41
| 16,096
|
py
|
Python
|
src/funcoes.py
|
EDAII/Lista6_Henrique_Victor
|
12600190e76dcd4633c9a848cfaa00a75c043c11
|
[
"MIT"
] | null | null | null |
src/funcoes.py
|
EDAII/Lista6_Henrique_Victor
|
12600190e76dcd4633c9a848cfaa00a75c043c11
|
[
"MIT"
] | null | null | null |
src/funcoes.py
|
EDAII/Lista6_Henrique_Victor
|
12600190e76dcd4633c9a848cfaa00a75c043c11
|
[
"MIT"
] | null | null | null |
import random
import time
import matplotlib
import matplotlib.pyplot as plt
from graph import Grafo
from especie import Especie
from dados import *
import plotly
import plotly.graph_objs as go
import numpy as np
import multiprocessing as mp
from graphviz import Digraph
quant_process = 4
visited_dfs = []
tam_max = 100
salto = 2
def gerar_grafo_aleatorio(v, e):
grafo = Grafo()
pool = mp.Pool(processes=quant_process)
lista = pool.map(gerar_grafo_aleatorio_aux, range(0, v))
for l in lista:
grafo.add_vertex(l)
if(e == v*v):
for a in range(v):
for b in range(v):
grafo.add_edge(lista[a], lista[b])
else:
i = 0
while (i != e):
a, b = random.randrange(0, len(lista)), random.randrange(0, len(lista))
if (grafo.add_edge(lista[a], lista[b]) != 0):
i += 1
return grafo
def gerar_grafo_aleatorio_aux(i):
return Especie(animais[random.randrange(0, len(animais))],
filos[random.randrange(0, len(filos))],
classes[random.randrange(0, len(classes))],
ordens[random.randrange(0, len(ordens))])
def BFS(grafo, start):
queue = []
visited = []
queue.append(start)
visited.append(start)
while len(queue) != 0:
prox = queue[0]
queue.pop(0)
for v in grafo._Grafo__graph_dict[prox]:
if v not in visited:
visited.append(v)
queue.append(v)
def DFS(grafo, u, visited):
if u not in visited:
visited.append(u)
for v in grafo._Grafo__graph_dict[u]:
DFS(grafo, v, visited)
def comparar_tempos(grafo=None):
if grafo != None:
lista_tempos = {}
inicio = time.perf_counter()
for vertice in grafo._Grafo__graph_dict:
BFS(grafo, vertice)
fim = time.perf_counter()
lista_tempos['BFS'] = (fim - inicio)
inicio = time.perf_counter()
for vertice in grafo._Grafo__graph_dict:
DFS(grafo, vertice, [])
fim = time.perf_counter()
lista_tempos['DFS'] = (fim - inicio)
tipos = ['BFS', 'DFS']
tempos = [lista_tempos['BFS'], lista_tempos['DFS']]
_, ax = plt.subplots(figsize=(16, 9))
ax.set(xlabel='Metodo de Busca', ylabel='Tempo (s)')
plt.figure(1)
plt.bar(tipos, tempos)
for i, v in enumerate(tempos):
plt.text(i-0.1, max(tempos)/100, " "+str(v), color='black',
va='center', fontweight='bold', fontsize=12)
plt.suptitle('Tempo em segundos para percorrer um grafo com {} nós'.format(len(grafo._Grafo__graph_dict)))
plt.show()
else:
tempo_BFS, tempo_DFS = [], []
for i in range(salto, tam_max+1, salto):
grafo = gerar_grafo_aleatorio(i, i*i)
inicio = time.perf_counter()
for vertice in grafo._Grafo__graph_dict:
BFS(grafo, vertice)
fim = time.perf_counter()
tempo_BFS.append(fim-inicio)
inicio = time.perf_counter()
for vertice in grafo._Grafo__graph_dict:
DFS(grafo, vertice, [])
fim = time.perf_counter()
tempo_DFS.append(fim-inicio)
printar_grafico(tempo_BFS, tempo_DFS)
def printar_grafico(BFS, DFS):
x = np.array([])
for i in range(salto, tam_max+1, salto):
x = np.append(x, i)
t = x
fig, ax = plt.subplots()
ax.set_title('Comparação entre os Algoritmos')
ax.set(xlabel='Quantidade de nós', ylabel='Tempo (s)')
line1, = ax.plot(t, BFS, lw=2, color='red', label='BFS')
line2, = ax.plot(t, DFS, lw=2, color='blue', label='DFS')
leg = ax.legend(loc='upper left', fancybox=True, shadow=True)
leg.get_frame().set_alpha(0.4)
lines = [line1, line2]
lined = dict()
for legline, origline in zip(leg.get_lines(), lines):
legline.set_picker(2)
lined[legline] = origline
def onpick(event):
legline = event.artist
origline = lined[legline]
vis = not origline.get_visible()
origline.set_visible(vis)
if vis:
legline.set_alpha(1.0)
else:
legline.set_alpha(0.2)
fig.canvas.draw()
fig.canvas.mpl_connect('pick_event', onpick)
plt.show()
def printar_grafo(grafo):
dot = Digraph(format='png')
for vertice in grafo._Grafo__graph_dict:
dot.node(vertice.nome)
for v in grafo._Grafo__graph_dict[vertice]:
dot.edge(vertice.nome, v.nome)
dot.render('grafo.gv', view=True)
def pantanal():
grafo = Grafo()
# Nodes
grafo.add_vertex(Especie("Onça-pintada", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Capivara", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Anta", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Jacaré", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Ema", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Coelheiro", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Piranha", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Peixe", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Macaco", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Veado-campeiro", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Tuiuiú", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Gavião", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Sapo", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Roedor", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Coruja", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Periquito", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Sucuri", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
# Edges
grafo.add_edge(grafo.find_node("Onça-pintada"), grafo.find_node("Jacaré"))
grafo.add_edge(grafo.find_node("Onça-pintada"), grafo.find_node("Capivara"))
grafo.add_edge(grafo.find_node("Onça-pintada"), grafo.find_node("Anta"))
grafo.add_edge(grafo.find_node("Onça-pintada"), grafo.find_node("Peixe"))
grafo.add_edge(grafo.find_node("Onça-pintada"), grafo.find_node("Macaco"))
grafo.add_edge(grafo.find_node("Onça-pintada"), grafo.find_node("Veado-campeiro"))
grafo.add_edge(grafo.find_node("Piranha"), grafo.find_node("Capivara"))
grafo.add_edge(grafo.find_node("Piranha"), grafo.find_node("Peixe"))
grafo.add_edge(grafo.find_node("Jacaré"), grafo.find_node("Capivara"))
grafo.add_edge(grafo.find_node("Jacaré"), grafo.find_node("Anta"))
grafo.add_edge(grafo.find_node("Jacaré"), grafo.find_node("Peixe"))
grafo.add_edge(grafo.find_node("Jacaré"), grafo.find_node("Sucuri"))
grafo.add_edge(grafo.find_node("Jacaré"), grafo.find_node("Tuiuiú"))
grafo.add_edge(grafo.find_node("Jacaré"), grafo.find_node("Sapo"))
grafo.add_edge(grafo.find_node("Jacaré"), grafo.find_node("Ema"))
grafo.add_edge(grafo.find_node("Ema"), grafo.find_node("Sapo"))
grafo.add_edge(grafo.find_node("Ema"), grafo.find_node("Roedor"))
grafo.add_edge(grafo.find_node("Sucuri"), grafo.find_node("Sapo"))
grafo.add_edge(grafo.find_node("Sucuri"), grafo.find_node("Coelheiro"))
grafo.add_edge(grafo.find_node("Sucuri"), grafo.find_node("Periquito"))
grafo.add_edge(grafo.find_node("Gavião"), grafo.find_node("Sucuri"))
grafo.add_edge(grafo.find_node("Gavião"), grafo.find_node("Periquito"))
grafo.add_edge(grafo.find_node("Tuiuiú"), grafo.find_node("Sapo"))
grafo.add_edge(grafo.find_node("Tuiuiú"), grafo.find_node("Peixe"))
grafo.add_edge(grafo.find_node("Coruja"), grafo.find_node("Roedor"))
grafo.add_edge(grafo.find_node("Coruja"), grafo.find_node("Periquito"))
return grafo
def terrestre():
grafo = Grafo()
# Nodes
grafo.add_vertex(Especie("Onça", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Gavião", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Serpente", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Andorinha", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Raposa", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Sapo", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Escorpião", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Coelho", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Caitutu", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Rato", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Gafanhoto", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Besouro Carnívoro", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Tartaruga Terrestre", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
# Edges
grafo.add_edge(grafo.find_node("Onça"), grafo.find_node("Coelho"))
grafo.add_edge(grafo.find_node("Onça"), grafo.find_node("Tartaruga Terrestre"))
grafo.add_edge(grafo.find_node("Onça"), grafo.find_node("Caitutu"))
grafo.add_edge(grafo.find_node("Gavião"), grafo.find_node("Sapo"))
grafo.add_edge(grafo.find_node("Gavião"), grafo.find_node("Serpente"))
grafo.add_edge(grafo.find_node("Gavião"), grafo.find_node("Rato"))
grafo.add_edge(grafo.find_node("Gavião"), grafo.find_node("Andorinha"))
grafo.add_edge(grafo.find_node("Serpente"), grafo.find_node("Sapo"))
grafo.add_edge(grafo.find_node("Andorinha"), grafo.find_node("Gafanhoto"))
grafo.add_edge(grafo.find_node("Andorinha"), grafo.find_node("Besouro Carnívoro"))
grafo.add_edge(grafo.find_node("Raposa"), grafo.find_node("Coelho"))
grafo.add_edge(grafo.find_node("Raposa"), grafo.find_node("Caitutu"))
grafo.add_edge(grafo.find_node("Sapo"), grafo.find_node("Rato"))
grafo.add_edge(grafo.find_node("Sapo"), grafo.find_node("Gafanhoto"))
grafo.add_edge(grafo.find_node("Escorpião"), grafo.find_node("Gafanhoto"))
grafo.add_edge(grafo.find_node("Escorpião"), grafo.find_node("Besouro Carnívoro"))
return grafo
def aquatico():
grafo = Grafo()
# Nodes
grafo.add_vertex(Especie("Águia-sapeira", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Perna-vermelha", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Garça-real", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Carangueijo-verde", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Robalo", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Caboz-da-areia", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Tainha", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Zooplâncton", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Camarão-mouro", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Lambujinha", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
grafo.add_vertex(Especie("Fitoplâncton", filos[random.randrange(0, len(filos))], classes[random.randrange(0, len(classes))], ordens[random.randrange(0, len(ordens))]))
# Edges
grafo.add_edge(grafo.find_node("Águia-sapeira"), grafo.find_node("Perna-vermelha"))
grafo.add_edge(grafo.find_node("Perna-vermelha"), grafo.find_node("Carangueijo-verde"))
grafo.add_edge(grafo.find_node("Robalo"), grafo.find_node("Carangueijo-verde"))
grafo.add_edge(grafo.find_node("Carangueijo-verde"), grafo.find_node("Camarão-mouro"))
grafo.add_edge(grafo.find_node("Robalo"), grafo.find_node("Camarão-mouro"))
grafo.add_edge(grafo.find_node("Robalo"), grafo.find_node("Caboz-da-areia"))
grafo.add_edge(grafo.find_node("Caboz-da-areia"), grafo.find_node("Lambujinha"))
grafo.add_edge(grafo.find_node("Caboz-da-areia"), grafo.find_node("Zooplâncton"))
grafo.add_edge(grafo.find_node("Garça-real"), grafo.find_node("Tainha"))
grafo.add_edge(grafo.find_node("Tainha"), grafo.find_node("Fitoplâncton"))
grafo.add_edge(grafo.find_node("Zooplâncton"), grafo.find_node("Fitoplâncton"))
grafo.add_edge(grafo.find_node("Lambujinha"), grafo.find_node("Fitoplâncton"))
grafo.add_edge(grafo.find_node("Camarão-mouro"), grafo.find_node("Zooplâncton"))
return grafo
| 54.748299
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0
| 7
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