xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

296fbd7a7affa6769704c5e942dffa0717fa9a8d

77

py

Python

tests/modules/core/test_error.py

spxtr/bumblebee-status

45125f39af8323775aeabf809ae5ae80cfe3ccd9

[ "MIT" ]

1,089

2016-11-06T10:02:53.000Z

2022-03-26T12:53:30.000Z

tests/modules/core/test_error.py

spxtr/bumblebee-status

45125f39af8323775aeabf809ae5ae80cfe3ccd9

[ "MIT" ]

817

2016-11-05T05:42:39.000Z

2022-03-25T19:43:52.000Z

tests/modules/core/test_error.py

spxtr/bumblebee-status

45125f39af8323775aeabf809ae5ae80cfe3ccd9

[ "MIT" ]

317

2016-11-05T00:35:06.000Z

2022-03-24T13:35:03.000Z

import pytest def test_load_module(): __import__("modules.core.error")

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py

Python

tests/integration/fixtures/problem_fixtures.py

camUrban/PteraSoftware

cd5163aa2cc5ea76a906b271d9d9958ad99e57bd

[ "MIT" ]

68

2020-07-18T20:49:37.000Z

2022-03-23T21:07:35.000Z

tests/integration/fixtures/problem_fixtures.py

camUrban/PteraSoftware

cd5163aa2cc5ea76a906b271d9d9958ad99e57bd

[ "MIT" ]

13

2020-08-20T04:56:44.000Z

2022-03-27T14:34:02.000Z

tests/integration/fixtures/problem_fixtures.py

camUrban/PteraSoftware

cd5163aa2cc5ea76a906b271d9d9958ad99e57bd

[ "MIT" ]

17

2020-07-23T22:26:31.000Z

2022-03-27T12:34:27.000Z

"""This module creates problem objects to be used as fixtures. This module contains the following classes: None This module contains the following exceptions: None This module contains the following functions: make_steady_validation_problem: This function creates a steady problem object to be used as a fixture. make_steady_multiple_wing_validation_problem: This function creates a steady problem object with multi-wing geometry to be used as a fixture. make_unsteady_validation_problem_with_static_geometry: This function creates an unsteady problem object with static geometry to be used as a fixture. make_unsteady_validation_problem_with_variable_geometry: This function creates an unsteady problem object with variable geometry to be used as a fixture. make_unsteady_validation_problem_with_multiple_wing_static_geometry: This function creates an unsteady problem object with multi-wing, static geometry to be used as a fixture. make_unsteady_validation_problem_with_multiple_wing_variable_geometry: This function creates an unsteady problem object with multi-wing, variable geometry to be used as a fixture. """ import pterasoftware as ps from tests.integration.fixtures import airplane_fixtures from tests.integration.fixtures import movement_fixtures from tests.integration.fixtures import operating_point_fixtures def make_steady_validation_problem(): """This function creates a steady problem object to be used as a fixture. :return steady_validation_problem: SteadyProblem This is the problem fixture. """ # Create the constructing fixtures. steady_validation_airplane = airplane_fixtures.make_steady_validation_airplane() steady_validation_operating_point = ( operating_point_fixtures.make_validation_operating_point() ) # Create the problem fixture. steady_validation_problem = ps.problems.SteadyProblem( airplane=steady_validation_airplane, operating_point=steady_validation_operating_point, ) # Delete the constructing fixtures. del steady_validation_airplane del steady_validation_operating_point # Return the problem fixture. return steady_validation_problem def make_steady_multiple_wing_validation_problem(): """This function creates a steady problem object with multi-wing geometry to be used as a fixture. :return steady_validation_problem: SteadyProblem This is the problem fixture. """ # Create the constructing fixtures. steady_validation_airplane = ( airplane_fixtures.make_multiple_wing_steady_validation_airplane() ) steady_validation_operating_point = ( operating_point_fixtures.make_validation_operating_point() ) # Create the problem fixture. steady_validation_problem = ps.problems.SteadyProblem( airplane=steady_validation_airplane, operating_point=steady_validation_operating_point, ) # Delete the constructing fixtures. del steady_validation_airplane del steady_validation_operating_point # Return the problem fixture. return steady_validation_problem def make_unsteady_validation_problem_with_static_geometry(): """This function creates an unsteady problem object with static geometry to be used as a fixture. :return unsteady_validation_problem: UnsteadyProblem This is the problem fixture. """ # Create the constructing fixture. unsteady_validation_movement = movement_fixtures.make_static_validation_movement() # Create the problem fixture. unsteady_validation_problem = ps.problems.UnsteadyProblem( movement=unsteady_validation_movement ) # Delete the constructing fixture. del unsteady_validation_movement # Return the problem fixture. return unsteady_validation_problem def make_unsteady_validation_problem_with_variable_geometry(): """This function creates an unsteady problem object with variable geometry to be used as a fixture. :return unsteady_validation_problem: UnsteadyProblem This is the problem fixture. """ # Create the constructing fixture. unsteady_validation_movement = movement_fixtures.make_variable_validation_movement() # Create the problem fixture. unsteady_validation_problem = ps.problems.UnsteadyProblem( movement=unsteady_validation_movement ) # Delete the constructing fixture. del unsteady_validation_movement # Return the problem fixture. return unsteady_validation_problem def make_unsteady_validation_problem_with_multiple_wing_static_geometry(): """This function creates an unsteady problem object with multi-wing, static geometry to be used as a fixture. :return unsteady_validation_problem: UnsteadyProblem This is the problem fixture. """ # Create the constructing fixture. unsteady_validation_movement = ( movement_fixtures.make_multiple_wing_static_validation_movement() ) # Create the problem fixture. unsteady_validation_problem = ps.problems.UnsteadyProblem( movement=unsteady_validation_movement ) # Delete the constructing fixture. del unsteady_validation_movement # Return the problem fixture. return unsteady_validation_problem def make_unsteady_validation_problem_with_multiple_wing_variable_geometry(): """This function creates an unsteady problem object with multi-wing, variable geometry to be used as a fixture. :return unsteady_validation_problem: UnsteadyProblem This is the problem fixture. """ # Create the constructing fixture. unsteady_validation_movement = ( movement_fixtures.make_multiple_wing_variable_validation_movement() ) # Create the problem fixture. unsteady_validation_problem = ps.problems.UnsteadyProblem( movement=unsteady_validation_movement ) # Delete the constructing fixture. del unsteady_validation_movement # Return the problem fixture. return unsteady_validation_problem

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469691059120c8d11608ea6e91756d85e3f904f8

24

py

Python

jetpack/renoir/__init__.py

vasudevanv/jetpack

3a1d4e30e164450586ad4d212361a5e30cc9eb7a

[ "MIT" ]

null

jetpack/renoir/__init__.py

vasudevanv/jetpack

3a1d4e30e164450586ad4d212361a5e30cc9eb7a

[ "MIT" ]

null

jetpack/renoir/__init__.py

vasudevanv/jetpack

3a1d4e30e164450586ad4d212361a5e30cc9eb7a

[ "MIT" ]

null

from .plot import Plot

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d3b36012b18a2d5286370492cad2225e2cb47544

55

py

Python

mvpd/func_regression/__init__.py

kakurk/PyMVPD

253974f0b5b7d15d27616540fc5166ddf3b7cc04

[ "MIT" ]

null

mvpd/func_regression/__init__.py

kakurk/PyMVPD

253974f0b5b7d15d27616540fc5166ddf3b7cc04

[ "MIT" ]

null

mvpd/func_regression/__init__.py

kakurk/PyMVPD

253974f0b5b7d15d27616540fc5166ddf3b7cc04

[ "MIT" ]

null

from .L2_LR import L2_LR from .PCA_LR import PCA_LR

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d3ff394a4d5cc527c1285204b7dd641615871cb1

122

py

Python

python/coursera_python/WESLEYAN/week1/2.py

SayanGhoshBDA/code-backup

8b6135facc0e598e9686b2e8eb2d69dd68198b80

[ "MIT" ]

16

2018-11-26T08:39:42.000Z

2019-05-08T10:09:52.000Z

python/coursera_python/WESLEYAN/week1/2.py

SayanGhoshBDA/code-backup

8b6135facc0e598e9686b2e8eb2d69dd68198b80

[ "MIT" ]

8

2020-05-04T06:29:26.000Z

2022-02-12T05:33:16.000Z

python/coursera_python/WESLEYAN/week1/2.py

SayanGhoshBDA/code-backup

8b6135facc0e598e9686b2e8eb2d69dd68198b80

[ "MIT" ]

5

2020-02-11T16:02:21.000Z

2021-02-05T07:48:30.000Z

def problem1_2(x,y): print(x+y) print(x*y) pass # replace this pass (a do-nothing) statement with your code

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313e0796ee8955226838ac3d8693e1faeb10a630

3,250

py

Python

tests/test_gcm_push_payload.py

FahadAlbukhari/django-push-notifications

8c73a77131be2259f961a997cc3ca8945028f519

[ "MIT" ]

3

2019-11-09T13:11:00.000Z

2020-01-07T03:02:58.000Z

tests/test_gcm_push_payload.py

FahadAlbukhari/django-push-notifications

8c73a77131be2259f961a997cc3ca8945028f519

[ "MIT" ]

null

tests/test_gcm_push_payload.py

FahadAlbukhari/django-push-notifications

8c73a77131be2259f961a997cc3ca8945028f519

[ "MIT" ]

1

2020-06-02T22:39:31.000Z

from __future__ import absolute_import from django.test import TestCase from push_notifications.gcm import send_bulk_message, send_message from ._mock import mock from .responses import GCM_JSON, GCM_JSON_MULTIPLE class GCMPushPayloadTest(TestCase): def test_fcm_push_payload(self): with mock.patch("push_notifications.gcm._fcm_send", return_value=GCM_JSON) as p: send_message("abc", {"message": "Hello world"}, "FCM") p.assert_called_once_with( b'{"notification":{"body":"Hello world"},"registration_ids":["abc"]}', "application/json", application_id=None) def test_push_payload_with_app_id(self): with mock.patch("push_notifications.gcm._gcm_send", return_value=GCM_JSON) as p: send_message("abc", {"message": "Hello world"}, "GCM") p.assert_called_once_with( b'{"data":{"message":"Hello world"},"registration_ids":["abc"]}', "application/json", application_id=None) with mock.patch("push_notifications.gcm._gcm_send", return_value=GCM_JSON) as p: send_message("abc", {"message": "Hello world"}, "GCM") p.assert_called_once_with( b'{"data":{"message":"Hello world"},"registration_ids":["abc"]}', "application/json", application_id=None) def test_fcm_push_payload_params(self): with mock.patch("push_notifications.gcm._fcm_send", return_value=GCM_JSON) as p: send_message( "abc", {"message": "Hello world", "title": "Push notification", "other": "misc"}, "FCM", delay_while_idle=True, time_to_live=3600, foo="bar", ) p.assert_called_once_with( b'{"data":{"other":"misc"},"delay_while_idle":true,' b'"notification":{"body":"Hello world","title":"Push notification"},' b'"registration_ids":["abc"],"time_to_live":3600}', "application/json", application_id=None) def test_fcm_push_payload_many(self): with mock.patch("push_notifications.gcm._fcm_send", return_value=GCM_JSON_MULTIPLE) as p: send_bulk_message(["abc", "123"], {"message": "Hello world"}, "FCM") p.assert_called_once_with( b'{"notification":{"body":"Hello world"},"registration_ids":["abc","123"]}', "application/json", application_id=None) def test_gcm_push_payload(self): with mock.patch("push_notifications.gcm._gcm_send", return_value=GCM_JSON) as p: send_message("abc", {"message": "Hello world"}, "GCM") p.assert_called_once_with( b'{"data":{"message":"Hello world"},"registration_ids":["abc"]}', "application/json", application_id=None) def test_gcm_push_payload_params(self): with mock.patch("push_notifications.gcm._gcm_send", return_value=GCM_JSON) as p: send_message( "abc", {"message": "Hello world"}, "GCM", delay_while_idle=True, time_to_live=3600, foo="bar", ) p.assert_called_once_with( b'{"data":{"message":"Hello world"},"delay_while_idle":true,' b'"registration_ids":["abc"],"time_to_live":3600}', "application/json", application_id=None) def test_gcm_push_payload_many(self): with mock.patch("push_notifications.gcm._gcm_send", return_value=GCM_JSON_MULTIPLE) as p: send_bulk_message(["abc", "123"], {"message": "Hello world"}, "GCM") p.assert_called_once_with( b'{"data":{"message":"Hello world"},"registration_ids":["abc","123"]}', "application/json", application_id=None)

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31501718fa96fec037fdfcb981ac2cb72829a3c4

51,882

py

Python

Apps/Python/app2/bot/cogs/mod.py

SinLess-Games-LimitedLC/Helix

647f6b52b3432cfdd646f030fdc01ea20d57e70a

[ "Apache-2.0" ]

3

2021-09-16T11:54:04.000Z

2021-12-11T23:54:13.000Z

Apps/Python/app2/bot/cogs/mod.py

SinLess-Games-LimitedLC/Helix

647f6b52b3432cfdd646f030fdc01ea20d57e70a

[ "Apache-2.0" ]

15

2021-09-22T22:49:51.000Z

2022-01-16T22:34:56.000Z

Apps/Python/app2/bot/cogs/mod.py

SinLess-Games/Helix

5fdfca30ef132422be10bea5015804b4e8b1636f

[ "Apache-2.0" ]

null

import re import discord import mysql.connector import copy from discord.ext import commands from util import check from collections import Counter from slugify import slugify class Mod(commands.Cog): def __init__(self, client): self.client = client self.client.modroles = {} async def global_check(self, ctx): self.blacklist = {} for guild in self.guilds: database = guild self.conn = mysql.connector.connect(host='192.168.86.244', user='admin', password='Shellshocker93!', database=database) self.c = self.conn.cursor() self.c.execute('''SELECT * FROM blacklist WHERE 1''') for server, word in self.c.fetchall(): if server not in self.blacklist: self.blacklist[server] = [word] else: self.blacklist[server].append(word) self.c.execute(f'''SELECT guild_id, mod_roles FROM {ctx.guild.id}.config WHERE 1''') for server, modrole in self.c.fetchall(): self.client.modroles[server] = modrole # -| if carl -> True # --| if command is disabled for the server -> False --- Without this, it's possible that commands clash with other bots # ----| if subcommand is disabled for the server -> False --- Not to mention the fact that mods are actually impacted negatively by the alternatives # ----| if manage_server -> True # -----| if user is plonked -> False # --------| if command is disabled for user -> False # -----------| if subcommand is disabled for user -> False # -----| if pms -> True (all mod actions are based on servers anyway) # -----| if server is disabled -> False # -----| if channel is ignored -> False # -----| if command is disabled in the channel -> False # -------| if subcommand is disabled in the channel -> False # -----| if command is restricted -> get the bot channel, send a mention in the bot channel, send command IN the bot channel # -| else True if ctx.guild is None: return True self.c.execute("SELECT * FROM config WHERE guild_id='{}'".format(ctx.guild.id)) b = self.c.fetchone() self.c.execute("SELECT bot_channel FROM servers WHERE id='{}'".format(ctx.guild.id)) bot_channel = self.c.fetchone() bot_channel = self.client.get_channel(int(bot_channel[0])) if bot_channel[0] is not None else ctx.channel command_name = ctx.command.root_parent if command_name is None: command_name = ctx.command.name command_name = str(command_name) if b[2] is not None: if command_name in b[2].split(','): # disabled commands aren't overridden by return False elif ctx.invoked_subcommand is not None: sub_command_name = f"{command_name} {ctx.invoked_subcommand.name}" if sub_command_name in b[2].split(','): return False bypass = ctx.author.guild_permissions.manage_guild if self.client.modroles.get(str(ctx.guild.id)) in [x.id for x in ctx.author.roles]: return True if bypass: return True if not b[3]: # plonked server/all commands are return False if b[1] is not None: if str(ctx.channel.id) in b[1].split(','): # ignored channel return False if b[4] is not None and bot_channel != ctx.channel: if command_name in b[4].split(','): await bot_channel.send(ctx.author.mention) context = copy.copy(ctx) context.channel = bot_channel await self.client.invoke(context) return False elif ctx.invoked_subcommand is not None: sub_command_name = f"{command_name} {ctx.invoked_subcommand.name}" if sub_command_name in b[4].split(','): await bot_channel.send(ctx.author.mention) context = copy.copy(ctx) context.channel = bot_channel await self.client.invoke(context) return False self.c.execute(f'''SELECT * FROM {ctx.guild.id}.userconfig WHERE (guild_id=? AND user_id=?)''', (ctx.guild.id, ctx.author.id)) a = self.c.fetchone() if a is not None: # If the user isn't in the list, we don't have t o check # This isn't really a speed up or anything, but it crashes otherwise xD # Unfortunately highlight ignores will put you in the userconfig # which isn't WEBSCALE BRO if a[4]: # user is plonked # no, not per command # just plonked return False if a[2] is not None: if command_name in a[2].split(','): # disabled user thing return False elif ctx.invoked_subcommand is not None: # disabling subcommands per user # is not fun sub_command_name = f"{command_name} {ctx.invoked_subcommand.name}" if sub_command_name in a[2].split(','): return False self.c.execute("SELECT commands FROM channelconfig WHERE (guild_id='{}' AND channel_id='{}'')".format(ctx.guild.id, ctx.channel.id)) channelconfig = self.c.fetchone() if channelconfig is not None: if channelconfig[0] is not None: if command_name in channelconfig[0].split(','): # ignored command return False elif ctx.invoked_subcommand is not None: sub_command_name = f"{command_name} {ctx.invoked_subcommand.name}" if sub_command_name in channelconfig[0].split(','): return False # command is allowed to be used, is it restricted though? self.c.close() self.conn.close() return True @staticmethod def do_slugify(string): string = slugify(string, separator="") replacements = (('4', 'a'), ('@', 'a'), ('3', 'e'), ('1', 'i'), ('0', 'o'), ('7', 't'), ('5', 's')) for old, new in replacements: string = string.replace(old, new) return string @staticmethod def clean_string(string): string = re.sub('@', '@\u200b', string) string = re.sub('#', '#\u200b', string) return string async def on_message_edit(self, before, after): if before.guild is None: return if before.author.client: return bypass = before.author.guild_permissions.manage_guild if bypass: return msg = self.do_slugify(after.content) try: if str(before.guild.id) in self.blacklist: for blacklisted_word in self.blacklist[str(before.guild.id)]: if blacklisted_word in msg: try: await before.delete() return await before.author.send( f'''Your message "{before.content}" was removed for containing the blacklisted word "{blacklisted_word}"''') except Exception as e: chan = self.client.get_channel(344986487676338187) await chan.send(f"Error when trying to remove message {type(e).__name__}: {e}") except Exception as e: chan = self.client.get_channel(344986487676338187) await chan.send(f"Error when trying to remove message (big) {type(e).__name__}: {e}") async def on_message(self, message): if message.guild is None: return if message.author.client: return bypass = message.author.guild_permissions.manage_guild if bypass: return msg = self.do_slugify(message.content) try: if str(message.guild.id) in self.blacklist: for blacklisted_word in self.blacklist[str(message.guild.id)]: if blacklisted_word in msg: try: await message.delete() return await message.author.send( f'''Your message "{message.content}" was removed for containing the blacklisted word "{blacklisted_word}"''') except Exception as e: chan = self.client.get_channel(881083005186240522) await chan.send(f"Error when trying to remove message {type(e).__name__}: {e}") except Exception as e: chan = self.client.get_channel(881083005186240522) await chan.send(f"Error when trying to remove message (big) {type(e).__name__}: {e}") @commands.group(invoke_without_command=True, name="blacklist", aliases=['bl']) @check.admin_or_permissions(manage_server=True) async def _blacklist(self, ctx): await ctx.send("```Usage: !blacklist add <word>\n!blacklist remove <word>\n!blacklist show```") @_blacklist.command(name="add", aliases=['+']) @check.admin_or_permissions(manage_server=True) async def add_word(self, ctx, *, to_be_blacklisted: str = None): if to_be_blacklisted is None: print(ctx) await ctx.channel.send("You need to specify a word to blacklist") return self.blacklist = {} for guild in self.guilds: database = guild self.conn = mysql.connector.connect(host='192.168.86.244', user='admin', password='Shellshocker93!', database=database) self.c = self.conn.cursor() slugified_word = self.do_slugify(to_be_blacklisted) self.c.execute("INSERT OR IGNORE INTO blacklist VALUES ('{}', '{}')".format(ctx.guild.id, slugified_word)) self.conn.commit() try: self.blacklist[str(ctx.guild.id)].append(slugified_word) except KeyError: self.blacklist[str(ctx.guild.id)] = [slugified_word] to_be_blacklisted = self.clean_string(to_be_blacklisted) await ctx.send(f'Added "{to_be_blacklisted}" to the blacklist') @_blacklist.command(name="remove", aliases=['-']) @check.admin_or_permissions(manage_server=True) async def remove_word(self, ctx, *, word: str = None): if word is None: return await ctx.send("You need to specify a word to remove from the blacklist") slugified_word = self.do_slugify(word) if slugified_word not in self.blacklist[str(ctx.guild.id)]: return await ctx.send("You don't seem to be blacklisting that word") self.c.execute(f'''DELETE FROM {ctx.guild.id}.blacklist WHERE (guild_id=? AND word=?)''', (ctx.guild.id, slugified_word)) self.conn.commit() self.blacklist[str(ctx.guild.id, )].remove(slugified_word) word = self.clean_string(word) await ctx.send(f'Removed "{word}" from the blacklist') @_blacklist.command(name="display", aliases=['show']) @check.admin_or_permissions(manage_server=True) async def show_words(self, ctx): self.c.execute(f'SELECT word FROM {ctx.guild.id}.blacklist WHERE guild_id=?', (ctx.guild.id,)) words = self.c.fetchall() if words == []: return await ctx.send("No blacklisted words yet, use `!blacklist add <word>` to get started") e = discord.Embed(title="Blocked words", description='\n'.join(x[0] for x in words)) await ctx.send(embed=e) @_blacklist.command(name="clear") @check.admin_or_permissions(manage_server=True) async def _clear(self, ctx): self.c.execute('''DELETE FROM blacklist WHERE guild_id=?''', (ctx.guild.id,)) self.conn.commit() self.blacklist[str(ctx.guild.id, )] = [] await ctx.send("Removed all blacklisted words") @commands.group(no_pm=True, invoke_without_command=True) @check.admin_or_permissions(manage_server=True) async def ignore(self, ctx, channel: discord.TextChannel = None, command: str = None, subcommand: str = None): if channel is None: channels = [str(ctx.channel.id)] else: channels = [str(x.id) for x in ctx.message.channel_mentions] if command is None: a = self.c.execute( f'SELECT ignored_channels FROM {ctx.guild.id}.config WHERE guild_id=?', (ctx.guild.id,)) a = a.fetchone() if a[0] is None: # no channels disabled, easy update channels_to_add = ','.join(channels) self.c.execute( f'UPDATE {ctx.guild.id}.config SET ignored_channels=? WHERE guild_id=?', (channels_to_add, ctx.guild.id)) self.conn.commit() e = ', '.join([f"<#{x}>" for x in channels]) return await ctx.send(f"Ignored **{e}**.") ignored_channels = a[0].split(',') if Counter(ignored_channels) == Counter(channels): # ALL mentioned channels are already in the database, remove them instead self.c.execute( f'UPDATE {ctx.guild.id}.config SET ignored_channels=? WHERE guild_id=?', (None, ctx.guild.id)) self.conn.commit() e = ', '.join([f"<#{x}>" for x in channels]) return await ctx.send(f"Unignored **{e}**.") else: # If the mentioned channels and the saved channels have nothing or some in common, extend it say_list = [x for x in channels if x not in ignored_channels] if set(channels).issubset(ignored_channels): # unignore ignored_channels = [ x for x in ignored_channels if x not in channels] say_list = [x for x in channels] saved_list = ','.join(list(set(ignored_channels))) self.c.execute( f'UPDATE {ctx.guild.id}.config SET ignored_channels=? WHERE guild_id=?', (saved_list, ctx.guild.id)) self.conn.commit() e = ', '.join([f"<#{x}>" for x in say_list]) return await ctx.send(f"Unignored **{e}**.") ignored_channels.extend(list(channels)) saved_list = ','.join(list(set(ignored_channels))) self.c.execute( f'UPDATE {ctx.guild.id}.config SET ignored_channels=? WHERE guild_id=?', (saved_list, ctx.guild.id)) self.conn.commit() e = ', '.join([f"<#{x}>" for x in say_list]) return await ctx.send(f"Ignored **{e}**.") else: # This is similar to the other subcommand disables # But keeping all channels up to date is just unreasonable # Instead we're gonna have it be a bit more lenient for # non-existant rows and instead have it update as it goes along command = command.lower() if command in ('enable', 'disable'): return await ctx.send('Cannot disable that command.') cool_dict = {a.qualified_name: a.aliases for a in self.client.commands} # I'm pretty sure ^ qualified_name is actually wrong and I should be using .name # But at this point I'm too afraid to change anything if command not in cool_dict: for k, v in cool_dict.items(): if command in v: command = k if command not in [x.name for x in self.client.commands]: return await ctx.send('I do not have this command registered.') # We have the command picked, now we need to check if a subcommand has to be passed too # Just like for the commands, we're gonna use the actual _name_ of the command and # not an alias, this will be what the user is after in 99.999999% of cases so I'm not # even gonna think twice about it if subcommand is not None: subcommand = subcommand.lower() # a subcommand was defined and we need to check if it's registered as a name or as an alias base_command = self.client.get_command(command) try: sub_commands = base_command.commands except AttributeError: return await ctx.send("That command has no subcommands") # Now we have a generator with the group's subcommands # we'll do the same thing as we did in the "cool dict" second_cool_dict = {x.name: x.aliases for x in sub_commands} if subcommand not in second_cool_dict: print(second_cool_dict) for k, v in second_cool_dict.items(): print(v) if subcommand in v: subcommand = k if subcommand not in second_cool_dict: return await ctx.send("I don't have that subcommand registered (if you used a prefix, don't!)") command = f"{command} {subcommand}" print(f"subcommand is {subcommand}") print(f"making the disabled command '{command}'") self.c.execute(f'''SELECT commands FROM {ctx.guild.id}.channelconfig WHERE (guild_id=? AND channel_id=?)''', (ctx.guild.id, channel.id)) already_disabled_commands = self.c.fetchone() if already_disabled_commands is None: self.c.execute('''INSERT INTO channelconfig VALUES (?, ?, ?, ?)''', (ctx.guild.id, channel.id, command, None)) self.conn.commit() return await ctx.send(f"Disabled **{command}** in #{channel.name}.") print(already_disabled_commands) if already_disabled_commands[0] is None: # no commands disabled, easy update self.c.execute(f'''UPDATE {ctx.guild.id}.channelconfig SET commands=? WHERE (guild_id=? AND channel_id=?)''', (command, ctx.guild.id, channel.id)) self.conn.commit() return await ctx.send(f"Disabled **{command}** in #{channel.name}.") else: # one or more commands disabled disabled_commands = already_disabled_commands[0].split(',') if command in disabled_commands: # If the command is already disabled, we're gonna re-enable it # the syntax is inconsistent and that's unfortunate, but it's # pretty neat just having one command I think disabled_commands.remove(command) e = ','.join( list(set([x for x in disabled_commands if x != ""]))) if e == "": e = None self.c.execute(f'''UPDATE {ctx.guild.id}.channelconfig SET commands=? WHERE (guild_id=? AND channel_id=?)''', (e, ctx.guild.id, channel.id)) self.conn.commit() return await ctx.send(f"Enabled **{command}** in #{channel.name}.") else: disabled_commands.append(command) e = ','.join( list(set([x for x in disabled_commands if x != ""]))) if e == "": e = None self.c.execute(f'''UPDATE {ctx.guild.id}.channelconfig SET commands=? WHERE (guild_id=? AND channel_id=?)''', (e, ctx.guild.id, channel.id)) self.conn.commit() return await ctx.send(f"Disabled **{command}** in #{channel.name}.") @ignore.command(name='server') @check.admin_or_permissions(manage_server=True) async def ignore_guild(self, ctx): a = self.c.execute( f'SELECT enabled FROM {ctx.guild.id}.config WHERE guild_id=?', (ctx.guild.id,)) a = a.fetchone() if a[0]: # server is enabled, disable it self.c.execute( f'UPDATE {ctx.guild.id}.config SET enabled=? WHERE guild_id=?', (False, ctx.guild.id)) self.conn.commit() return await ctx.send(f"Disabled **{ctx.guild.name}**.") self.c.execute( f'UPDATE {ctx.guild.id}.config SET enabled=? WHERE guild_id=?', (True, ctx.guild.id)) self.conn.commit() await ctx.send(f"Enabled **{ctx.guild.name}**.") @ignore.command(name='all') @check.admin_or_permissions(manage_server=True) async def ignore_all(self, ctx, command: str = None, subcommand: str = None): if command is None: # standard command, just ignores all channels saved_list = ','.join([str(x.id) for x in ctx.guild.text_channels]) self.c.execute( f'UPDATE {ctx.guild.id}.config SET ignored_channels=? WHERE guild_id=?', (saved_list, ctx.guild.id)) self.conn.commit() return await ctx.send("All channels ignored.") # Here begins the fun stuff # Basically, the way the command works is that it will iterate over the text channels of the guild # And ignore the passed command (and optional subcommand) for all channels # will basically work the same as ignore but on a larger scale command = command.lower() if command in ('enable', 'disable'): return await ctx.send('Cannot disable that command.') cool_dict = {a.qualified_name: a.aliases for a in self.client.commands} # I'm pretty sure ^ qualified_name is actually wrong and I should be using .name # But at this point I'm too afraid to change anything if command not in cool_dict: for k, v in cool_dict.items(): if command in v: command = k if command not in [x.name for x in self.client.commands]: return await ctx.send('I do not have this command registered.') # We have the command picked, now we need to check if a subcommand has to be passed too # Just like for the commands, we're gonna use the actual _name_ of the command and # not an alias, this will be what the user is after in 99.999999% of cases so I'm not # even gonna think twice about it if subcommand is not None: subcommand = subcommand.lower() # a subcommand was defined and we need to check if it's registered as a name or as an alias base_command = self.client.get_command(command) try: sub_commands = base_command.commands except AttributeError: return await ctx.send("That command has no subcommands") # Now we have a generator with the group's subcommands # we'll do the same thing as we did in the "cool dict" second_cool_dict = {x.name: x.aliases for x in sub_commands} if subcommand not in second_cool_dict: print(second_cool_dict) for k, v in second_cool_dict.items(): print(v) if subcommand in v: subcommand = k if subcommand not in second_cool_dict: return await ctx.send("I don't have that subcommand registered") command = f"{command} {subcommand}" print(f"subcommand is {subcommand}") print(f"making the disabled command '{command}'") # If we reached this point, we have a command and possibly even a subcommand passed, iterating over the guild and # ignoring it per channel _should_ be easy channels = [x for x in ctx.guild.text_channels] # sqlite is very VERY slow at committing but I'm too scared not to do it # seeing "database is locked" gives me ptsd disabled = [] enabled = [] for channel in channels: self.c.execute(f'''SELECT commands FROM {ctx.guild.id}.channelconfig WHERE (guild_id=? AND channel_id=?)''', (ctx.guild.id, channel.id)) already_disabled_commands = self.c.fetchone() if already_disabled_commands is None: self.c.execute(f'''INSERT INTO {ctx.guild.id}.channelconfig VALUES (?, ?, ?, ?)''', (ctx.guild.id, channel.id, command, None)) self.conn.commit() disabled.append(channel.name) continue print(already_disabled_commands) if already_disabled_commands[0] is None: # no commands disabled, easy update self.c.execute(f'''UPDATE {ctx.guild.id}.channelconfig SET commands=? WHERE (guild_id=? AND channel_id=?)''', (command, ctx.guild.id, channel.id)) self.conn.commit() disabled.append(channel.name) else: # one or more commands disabled disabled_commands = already_disabled_commands[0].split(',') if command in disabled_commands: # If the command is already disabled, we're gonna re-enable it # the syntax is inconsistent and that's unfortunate, but it's # pretty neat just having one command I think disabled_commands.remove(command) e = ','.join( list(set([x for x in disabled_commands if x != ""]))) if e == "": e = None self.c.execute(f'''UPDATE {ctx.guild.id}.channelconfig SET commands=? WHERE (guild_id=? AND channel_id=?)''', (e, ctx.guild.id, channel.id)) self.conn.commit() enabled.append(channel.name) else: disabled_commands.append(command) e = ','.join( list(set([x for x in disabled_commands if x != ""]))) if e == "": e = None self.c.execute(f'''UPDATE {ctx.guild.id}.channelconfig SET commands=? WHERE (guild_id=? AND channel_id=?)''', (e, ctx.guild.id, channel.id)) self.conn.commit() disabled.append(channel.name) enabled = ', '.join(enabled) disabled = ', '.join(disabled) await ctx.send( "**Command:** {}\n**Disabled channels:** {}\n**Enabled channels:** {}".format(command, disabled, enabled)) @commands.group() async def unignore(self, ctx): return @unignore.command(name='all') @check.admin_or_permissions(manage_server=True) async def unignore_all(self, ctx): self.c.execute( f'UPDATE {ctx.guild.id}.config SET ignored_channels=? WHERE guild_id=?', (None, ctx.guild.id)) self.conn.commit() await ctx.send("All channels unignored.") @ignore.command(name='list', no_pm=True) @check.admin_or_permissions(manage_server=True) async def ignore_list(self, ctx): a = self.c.execute( f'SELECT ignored_channels FROM {ctx.guild.id}.config WHERE guild_id=?', (ctx.guild.id,)) a = a.fetchone() if a[0] is None: disabled = [] elif a[0] == "": disabled = [] else: disabled = a[0].split(',') e = discord.Embed() if disabled == []: dis = "None" else: dis = dis = '\n'.join([f'<#{x}>' for x in disabled]) enabled = [x for x in ctx.guild.text_channels if str( x.id) not in disabled] if len(enabled) == 0: ena = "None" else: ena = '\n'.join([f'<#{x.id}>' for x in enabled]) e.add_field(name='Enabled', value=ena) e.add_field(name='Disabled', value=dis) e.set_footer(text=ctx.guild.name) await ctx.send(embed=e) @commands.group(no_pm=True, invoke_without_command=True, hidden=True) @check.admin_or_permissions(manage_server=True) async def disable(self, ctx, command: str, subcommand: str = None): command = command.lower() if command in ('enable', 'disable'): return await ctx.send('Cannot disable that command.') cool_dict = {a.qualified_name: a.aliases for a in self.client.commands} # print(cool_dict) if command not in cool_dict: for k, v in cool_dict.items(): if command in v: command = k if command not in [x.name for x in self.client.commands]: return await ctx.send('I do not have this command registered.') # We have the command picked, now we need to check if a subcommand has to be passed too # Just like for the commands, we're gonna use the actual _name_ of the command and # not an alias, this will be what the user is after in 99.999999% of cases so I'm not # even gonna think twice about it if subcommand is not None: subcommand = subcommand.lower() # a subcommand was defined and we need to check if it's registered as a name or as an alias base_command = self.client.get_command(command) try: sub_commands = base_command.commands except AttributeError: return await ctx.send("That command has no subcommands") # Now we have a generator with the group's subcommands # we'll do the same thing as we did in the "cool dict" second_cool_dict = {x.name: x.aliases for x in sub_commands} if subcommand not in second_cool_dict: print(second_cool_dict) for k, v in second_cool_dict.items(): print(v) if subcommand in v: subcommand = k if subcommand not in second_cool_dict: return await ctx.send("I don't have that subcommand registered") command = f"{command} {subcommand}" print(f"subcommand is {subcommand}") print(f"making the disabled command '{command}'") a = self.c.execute( f'SELECT commands FROM {ctx.guild.id}.config WHERE guild_id=?', (ctx.guild.id,)) a = a.fetchone() if a[0] is None: # no commands disabled, easy update self.c.execute( f'UPDATE {ctx.guild.id}.config SET commands=? WHERE guild_id=?', (command, ctx.guild.id)) self.conn.commit() return await ctx.send(f'"{command}" command disabled in this server.') else: # one or more commands disabled disabled_commands = a[0].split(',') if command in disabled_commands: return await ctx.send(f"Disabled **{command}**.") else: disabled_commands.append(command) e = ','.join( list(set([x for x in disabled_commands if x != ""]))) self.c.execute( f'UPDATE {ctx.guild.id}.config SET commands=? WHERE guild_id=?', (e, ctx.guild.id)) self.conn.commit() return await ctx.send(f"Disabled **{command}**.") @commands.group(no_pm=True, invoke_without_command=True, hidden=True) @check.admin_or_permissions(manage_server=True) async def enable(self, ctx, command: str, subcommand: str = None): command = command.lower() if command in ('enable', 'disable'): return await ctx.send('Cannot enable that command.') cool_dict = {a.qualified_name: a.aliases for a in self.client.commands} if command not in cool_dict: for k, v in cool_dict.items(): if command in v: command = k if command not in [x.name for x in self.client.commands]: return await ctx.send('I do not have this command registered.') if subcommand is not None: subcommand = subcommand.lower() # a subcommand was defined and we need to check if it's registered as a name or as an alias base_command = self.client.get_command(command) try: sub_commands = base_command.commands except AttributeError: return await ctx.send("That command has no subcommands") # Now we have a generator with the group's subcommands # we'll do the same thing as we did in the "cool dict" second_cool_dict = {x.name: x.aliases for x in sub_commands} if subcommand not in second_cool_dict: print(second_cool_dict) for k, v in second_cool_dict.items(): print(v) if subcommand in v: subcommand = k if subcommand not in second_cool_dict: return await ctx.send("I don't have that subcommand registered") command = f"{command} {subcommand}" a = self.c.execute( f'SELECT commands FROM {ctx.guild.id}.config WHERE guild_id=?', (ctx.guild.id,)) a = a.fetchone() if a[0] is None: # all commands enabled, easy update return await ctx.send('All commands are already enabled on this server.') else: # one or more commands disabled disabled_commands = a[0].split(',') if command in disabled_commands: # remove command from ignore list disabled_commands.remove(command) e = ','.join( list(set([x for x in disabled_commands if x != ""]))) self.c.execute( f'UPDATE {ctx.guild.id}.config SET commands=? WHERE guild_id=?', (e, ctx.guild.id)) self.conn.commit() return await ctx.send(f"Enabled **{command}**.") else: return await ctx.send( f"**{command}** was already enabled, use `{ctx.prefix}disable` if you wish to disable it.") @enable.command(name='list', no_pm=True) async def enable_list(self, ctx): a = self.c.execute( f'SELECT commands FROM {ctx.guild.id}.config WHERE guild_id=?', (ctx.guild.id,)) a = a.fetchone() if a[0] is None: disabled = [] elif a[0] == "": disabled = [] else: disabled = a[0].split(',') e = discord.Embed() enabled = [ x.name for x in self.client.commands if x.name not in disabled and not x.hidden] ena = ', '.join(enabled) if enabled != [] else "None" dis = ', '.join(disabled) if disabled != [] else "None" e.add_field(name='Enabled', value=ena) e.add_field(name='Disabled', value=dis) e.set_footer(text=ctx.guild.name) await ctx.send(embed=e) @disable.command(name='list', no_pm=True) async def disable_list(self, ctx): a = self.c.execute( f'SELECT commands FROM {ctx.guild.id}.config WHERE guild_id=?', (ctx.guild.id,)) a = a.fetchone() if a[0] is None: disabled = "None" elif a[0] == "": disabled = "None" else: disabled = a[0].split(',') e = discord.Embed() enabled = [ x.name for x in self.client.commands if x.name not in disabled and not x.hidden] ena = ', '.join(enabled) or "None" dis = ', '.join(disabled) or "None" e.add_field(name='Disabled', value=dis) e.add_field(name='Enabled', value=ena) e.set_footer(text=ctx.guild.name) await ctx.send(embed=e) @disable.command(name='all', no_pm=True) @check.admin_or_permissions(manage_server=True) async def disable_all(self, ctx): to_disable = [x.name for x in self.client.commands if str(x.name) not in ("enable", "disable")] e = ','.join(to_disable) self.c.execute( f'UPDATE {ctx.guild.id}.config SET commands=? WHERE guild_id=?', (e, ctx.guild.id)) self.conn.commit() return await ctx.send("Disabled ALL commands.") @enable.command(name='all', no_pm=True) @check.admin_or_permissions(manage_server=True) async def enable_all(self, ctx): self.c.execute( 'UPDATE config SET commands=? WHERE guild_id=?', (None, ctx.guild.id)) self.conn.commit() return await ctx.send("Enabled ALL commands.") @commands.command() @check.admin_or_permissions(manage_server=True) async def plonk(self, ctx, user: discord.Member = None, command: str = None, subcommand: str = None): if user is None: return ctx.send("You need to mention a user to plonk") if command is None: # global PLONK a = self.c.execute( f'SELECT plonked FROM {ctx.guild.id}.userconfig WHERE (guild_id=? AND user_id=?)', (ctx.guild.id, user.id)) a = a.fetchone() if a is not None: if a[0]: # user is plonked self.c.execute( f'UPDATE {ctx.guild.id}.userconfig SET plonked=? WHERE (guild_id=? AND user_id=?)', (False, ctx.guild.id, user.id)) self.conn.commit() return await ctx.send(f"**{user.name}** is no longer banned from using the bot in this server.") else: # not plonked self.c.execute( f'UPDATE {ctx.guild.id}.userconfig SET plonked=? WHERE (guild_id=? AND user_id=?)', (True, ctx.guild.id, user.id)) self.conn.commit() return await ctx.send(f"**{user.name}** is now banned from using the bot in this server.") else: # if a is none, we have a clean user # this means they always should be plonked self.c.execute(f'''INSERT INTO {ctx.guild.id}.userconfig VALUES (?, ?, ?, ?, ?, ?)''', (ctx.guild.id, user.id, None, None, True, None)) self.conn.commit() return await ctx.send(f"**{user.name}** is now banned from using the bot in this server.") else: command = command.lower() if command in ('enable', 'disable'): return await ctx.send('Cannot enable that command.') cool_dict = { a.qualified_name: a.aliases for a in self.client.commands} if command not in cool_dict: for k, v in cool_dict.items(): if command in v: command = k if command not in [x.name for x in self.client.commands]: return await ctx.send('I do not have this command registered.') if subcommand is not None: subcommand = subcommand.lower() # a subcommand was defined and we need to check if it's registered as a name or as an alias base_command = self.client.get_command(command) try: sub_commands = base_command.commands except AttributeError: return await ctx.send("That command has no subcommands") # Now we have a generator with the group's subcommands # we'll do the same thing as we did in the "cool dict" second_cool_dict = {x.name: x.aliases for x in sub_commands} if subcommand not in second_cool_dict: print(second_cool_dict) for k, v in second_cool_dict.items(): print(v) if subcommand in v: subcommand = k if subcommand not in second_cool_dict: return await ctx.send("I don't have that subcommand registered") command = f"{command} {subcommand}" print(f"subcommand is {subcommand}") print(f"making the disabled command '{command}'") a = self.c.execute( f'SELECT command FROM {ctx.guild.id}.userconfig WHERE (guild_id=? AND user_id=?)', (ctx.guild.id, user.id)) a = a.fetchone() if a is not None: if a[0] is None: # all commands enabled, easy update self.c.execute( f'UPDATE {ctx.guild.id}.userconfig SET command=? WHERE (guild_id=? AND user_id=?)', (command, ctx.guild.id, user.id)) self.conn.commit() return await ctx.send(f'"{command}" disabled for {user.name}.') else: # one or more commands disabled disabled_commands = a[0].split(',') if command in disabled_commands: # remove command from ignore list disabled_commands.remove(command) e = ','.join( list(set([x for x in disabled_commands if x != ""]))) if e == "": # God I fucking _hate_ # dealing with empty strings e = None self.c.execute( f'UPDATE {ctx.guild.id}.userconfig SET command=? WHERE (guild_id=? AND user_id=?)', (e, ctx.guild.id, user.id)) self.conn.commit() return await ctx.send(f"Enabled **{command}** for {user.name}.") else: disabled_commands.append(command) e = ','.join( list(set([x for x in disabled_commands if x != ""]))) self.c.execute( f'UPDATE {ctx.guild.id}.userconfig SET command=? WHERE (guild_id=? AND user_id=?)', (e, ctx.guild.id, user.id)) self.conn.commit() return await ctx.send(f"Disabled **{command}** for {user.name}.") else: # If the row doesn't exist, we need to insert it # luckily this looks almost exactly like the a[0] row self.c.execute(f'''INSERT INTO {ctx.guild.id}.userconfig VALUES (?, ?, ?, ?, ?, ?)''', (ctx.guild.id, user.id, command, None, False, None)) self.conn.commit() await ctx.send(f"Disabled **{command}** for {user.name}") @commands.command(no_pm=True) async def plonks(self, ctx, user: discord.Member = None): if user is None: d = self.c.execute( f'SELECT user_id, plonked FROM {ctx.guild.id}.userconfig WHERE guild_id=?', (ctx.guild.id,)) d = d.fetchall() plonks = '\n'.join([f"<@{x[0]}>" for x in d if x[1]]) or "None" e = discord.Embed( title=f"Plonks for {ctx.guild.name}", description=plonks) # e.add_field(name="None", value=plonks) await ctx.send(embed=e) else: d = self.c.execute( f'SELECT user_id, command FROM {ctx.guild.id}.userconfig WHERE (guild_id=? AND user_id=?)', (ctx.guild.id, user.id)) d = d.fetchone() if d is not None: if d[0] is None: plonks = "None" elif d[0] == "": plonks = "None" else: if d[1] is None: plonks = "None" else: plonks = '\n'.join([x for x in d[1].split(',')]) else: plonks = "None" e = discord.Embed( title=f"Plonks for {user.name}#{user.discriminator}", description=plonks) await ctx.send(embed=e) @commands.group(no_pm=True, invoke_without_command=True, hidden=True) @check.admin_or_permissions(manage_server=True) async def restrict(self, ctx, command: str, subcommand: str = None): command = command.lower() if command in ('enable', 'disable'): return await ctx.send('Cannot disable that command.') cool_dict = {a.qualified_name: a.aliases for a in self.client.commands} # print(cool_dict) if command not in cool_dict: for k, v in cool_dict.items(): if command in v: command = k if command not in [x.name for x in self.client.commands]: return await ctx.send('I do not have this command registered.') # We have the command picked, now we need to check if a subcommand has to be passed too # Just like for the commands, we're gonna use the actual _name_ of the command and # not an alias, this will be what the user is after in 99.999999% of cases so I'm not # even gonna think twice about it if subcommand is not None: subcommand = subcommand.lower() # a subcommand was defined and we need to check if it's registered as a name or as an alias base_command = self.client.get_command(command) try: sub_commands = base_command.commands except AttributeError: return await ctx.send("That command has no subcommands") # Now we have a generator with the group's subcommands # we'll do the same thing as we did in the "cool dict" second_cool_dict = {x.name: x.aliases for x in sub_commands} if subcommand not in second_cool_dict: print(second_cool_dict) for k, v in second_cool_dict.items(): print(v) if subcommand in v: subcommand = k if subcommand not in second_cool_dict: return await ctx.send("I don't have that subcommand registered") command = f"{command} {subcommand}" print(f"subcommand is {subcommand}") print(f"making the disabled command '{command}'") a = self.c.execute( f'SELECT restricted_commands FROM {ctx.guild.id}.config WHERE guild_id=?', (ctx.guild.id,)) a = a.fetchone() if a[0] is None: # no commands restricted, easy update self.c.execute( f'UPDATE {ctx.guild.id}.config SET restricted_commands=? WHERE guild_id=?', (command, ctx.guild.id)) self.conn.commit() return await ctx.send(f'"{command}" is now restricted to the bot channel.') else: # one or more commands disabled disabled_commands = a[0].split(',') if command in disabled_commands: return await ctx.send(f"Restricted **{command}**.") else: disabled_commands.append(command) e = ','.join( list(set([x for x in disabled_commands if x != ""]))) self.c.execute( f'UPDATE {ctx.guild.id}.config SET restricted_commands=? WHERE guild_id=?', (e, ctx.guild.id)) self.conn.commit() return await ctx.send(f"Restricted **{command}**.") @commands.group(no_pm=True, invoke_without_command=True, hidden=True) @check.admin_or_permissions(manage_server=True) async def unrestrict(self, ctx, command: str, subcommand: str = None): command = command.lower() if command in ('enable', 'disable'): return await ctx.send('Cannot restrict that command.') cool_dict = {a.qualified_name: a.aliases for a in self.client.commands} if command not in cool_dict: for k, v in cool_dict.items(): if command in v: command = k if command not in [x.name for x in self.client.commands]: return await ctx.send('I do not have this command registered.') if subcommand is not None: subcommand = subcommand.lower() # a subcommand was defined and we need to check if it's registered as a name or as an alias base_command = self.client.get_command(command) try: sub_commands = base_command.commands except AttributeError: return await ctx.send("That command has no subcommands") # Now we have a generator with the group's subcommands # we'll do the same thing as we did in the "cool dict" second_cool_dict = {x.name: x.aliases for x in sub_commands} if subcommand not in second_cool_dict: print(second_cool_dict) for k, v in second_cool_dict.items(): print(v) if subcommand in v: subcommand = k if subcommand not in second_cool_dict: return await ctx.send("I don't have that subcommand registered") command = f"{command} {subcommand}" a = self.c.execute( f'SELECT restricted_commands FROM {ctx.guild.id}.config WHERE guild_id=?', (ctx.guild.id,)) a = a.fetchone() if a[0] is None: # all commands enabled, easy update return await ctx.send('All commands are already enabled on this server.') else: # one or more commands disabled disabled_commands = a[0].split(',') if command in disabled_commands: # remove command from ignore list disabled_commands.remove(command) e = ','.join( list(set([x for x in disabled_commands if x != ""]))) self.c.execute( f'UPDATE {ctx.guild.id}.config SET restricted_commands=? WHERE guild_id=?', (e, ctx.guild.id)) self.conn.commit() return await ctx.send(f"Set **{command}** free again.") else: return await ctx.send( f"**{command}** was already unrestricted, use `{ctx.prefix}restrict` if you wish to restrict it.") def setup(client): client.add_cog(Mod(client))

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py

Python

xlib/net/__init__.py

jkennedyvz/DeepFaceLive

274c20808da089eb7fc0fc0e8abe649379a29ffe

[ "MIT" ]

4

2021-07-23T16:34:24.000Z

2022-03-01T18:31:59.000Z

xlib/net/__init__.py

jkennedyvz/DeepFaceLive

274c20808da089eb7fc0fc0e8abe649379a29ffe

[ "MIT" ]

1

2022-02-08T01:29:03.000Z

xlib/net/__init__.py

jkennedyvz/DeepFaceLive

274c20808da089eb7fc0fc0e8abe649379a29ffe

[ "MIT" ]

1

2021-12-14T09:18:15.000Z

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py

Python

python/GafferSceneTest/MeshTangentsTest.py

ddesmond/gaffer

4f25df88103b7893df75865ea919fb035f92bac0

[ "BSD-3-Clause" ]

561

2016-10-18T04:30:48.000Z

2022-03-30T06:52:04.000Z

python/GafferSceneTest/MeshTangentsTest.py

ddesmond/gaffer

4f25df88103b7893df75865ea919fb035f92bac0

[ "BSD-3-Clause" ]

1,828

2016-10-14T19:01:46.000Z

2022-03-30T16:07:19.000Z

python/GafferSceneTest/MeshTangentsTest.py

ddesmond/gaffer

4f25df88103b7893df75865ea919fb035f92bac0

[ "BSD-3-Clause" ]

120

2016-10-18T15:19:13.000Z

2021-12-20T16:28:23.000Z

########################################################################## # # Copyright (c) 2017, Image Engine Design Inc. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above # copyright notice, this list of conditions and the following # disclaimer. # # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided with # the distribution. # # * Neither the name of John Haddon nor the names of # any other contributors to this software may be used to endorse or # promote products derived from this software without specific prior # written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS # IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, # THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR # PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR # PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF # LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING # NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # ########################################################################## import os import unittest import imath import IECore import IECoreScene import Gaffer import GafferScene import GafferSceneTest class MeshTangentsTest( GafferSceneTest.SceneTestCase ) : def makeTriangleScene( self ) : verticesPerFace = IECore.IntVectorData( [3] ) vertexIds = IECore.IntVectorData( [0, 1, 2] ) p = IECore.V3fVectorData( [imath.V3f( 0, 0, 0 ), imath.V3f( 1, 0, 0 ), imath.V3f( 0, 1, 0 )] ) n = IECore.V3fVectorData( [imath.V3f( 0, 0, -1 ), imath.V3f( 0, 0, -1 ), imath.V3f( 0, 0, -1 )] ) prefData = IECore.V3fVectorData( [imath.V3f( 0, 0, 0 ), imath.V3f( 0, -1, 0 ), imath.V3f( 1, 0, 0 )] ) mesh = IECoreScene.MeshPrimitive( verticesPerFace, vertexIds, "linear", p ) mesh["N"] = IECoreScene.PrimitiveVariable( IECoreScene.PrimitiveVariable.Interpolation.Vertex, n ) mesh["uv"] = IECoreScene.PrimitiveVariable( IECoreScene.PrimitiveVariable.Interpolation.FaceVarying, IECore.V2fVectorData( [ imath.V2f( 0, 0 ), imath.V2f( 1, 0 ), imath.V2f( 0, 1 ) ], IECore.GeometricData.Interpretation.UV ) ) mesh["foo"] = IECoreScene.PrimitiveVariable( IECoreScene.PrimitiveVariable.Interpolation.FaceVarying, IECore.V2fVectorData( [ imath.V2f( 0, 0 ), imath.V2f( 0, 1 ), imath.V2f( 1, 0 ) ], IECore.GeometricData.Interpretation.UV ) ) mesh["Pref"] = IECoreScene.PrimitiveVariable( IECoreScene.PrimitiveVariable.Interpolation.Vertex, prefData ) objectToScene = GafferScene.ObjectToScene() objectToScene["object"].setValue( mesh ) return objectToScene def testModeUV( self ) : meshTangents = GafferScene.MeshTangents() triangleScene = self.makeTriangleScene() meshTangents["in"].setInput( triangleScene["out"] ) pathFilter = GafferScene.PathFilter( "PathFilter" ) pathFilter["paths"].setValue( IECore.StringVectorData( ['/object'] ) ) meshTangents["filter"].setInput( pathFilter["out"] ) meshTangents['mode'].setValue( GafferScene.MeshTangents.Mode.UV ) object = meshTangents['out'].object( "/object" ) uTangent = object["uTangent"] vTangent = object["vTangent"] self.assertEqual( len( uTangent.data ), 3 ) self.assertEqual( len( vTangent.data ), 3 ) for v in uTangent.data : self.assertTrue( v.equalWithAbsError( imath.V3f( 1, 0, 0 ), 0.000001 ) ) for v in vTangent.data : self.assertTrue( v.equalWithAbsError( imath.V3f( 0, 1, 0 ), 0.000001 ) ) def testModeFirstEdge( self ) : meshTangents = GafferScene.MeshTangents() triangleScene = self.makeTriangleScene() meshTangents["in"].setInput( triangleScene["out"] ) pathFilter = GafferScene.PathFilter( "PathFilter" ) pathFilter["paths"].setValue( IECore.StringVectorData( ['/object'] ) ) meshTangents["filter"].setInput( pathFilter["out"] ) meshTangents['mode'].setValue( GafferScene.MeshTangents.Mode.FirstEdge ) object = meshTangents['out'].object( "/object" ) tangent = object["tangent"] biTangent = object["biTangent"] self.assertEqual( len( tangent.data ), 3 ) self.assertEqual( len( biTangent.data ), 3 ) for v, v1 in zip( tangent.data, [imath.V3f( 1, 0, 0 ), imath.V3f( -1, 0, 0 ), imath.V3f( 0, -1, 0 ) ] ): self.assertTrue( v.equalWithAbsError( v1, 0.000001 ) ) for v, v1 in zip( biTangent.data, [imath.V3f( 0, -1, 0 ), imath.V3f( 0, 1, 0 ), imath.V3f( -1, 0, 0 ) ] ): self.assertTrue( v.equalWithAbsError( v1, 0.000001 ) ) def testModeTwoEdges( self ) : meshTangents = GafferScene.MeshTangents() triangleScene = self.makeTriangleScene() meshTangents["in"].setInput( triangleScene["out"] ) pathFilter = GafferScene.PathFilter( "PathFilter" ) pathFilter["paths"].setValue( IECore.StringVectorData( ['/object'] ) ) meshTangents["filter"].setInput( pathFilter["out"] ) meshTangents['mode'].setValue( GafferScene.MeshTangents.Mode.TwoEdges ) object = meshTangents['out'].object( "/object" ) tangent = object["tangent"] biTangent = object["biTangent"] self.assertEqual( len( tangent.data ), 3 ) self.assertEqual( len( biTangent.data ), 3 ) for v, v1 in zip( tangent.data, [x.normalized() for x in [ imath.V3f( 1, 1, 0 ), imath.V3f( -2, 1, 0 ), imath.V3f( 1, -2, 0 ) ] ] ): self.assertTrue( v.equalWithAbsError( v1, 0.000001 ) ) for v, v1 in zip( tangent.data, [x.normalized() for x in [ imath.V3f( 1, 1, 0 ), imath.V3f( -2, 1, 0 ), imath.V3f( 1, -2, 0 ) ] ] ): self.assertTrue( v.equalWithAbsError( v1, 0.000001 ) ) def testModeCentroid( self ) : meshTangents = GafferScene.MeshTangents() triangleScene = self.makeTriangleScene() meshTangents["in"].setInput( triangleScene["out"] ) pathFilter = GafferScene.PathFilter( "PathFilter" ) pathFilter["paths"].setValue( IECore.StringVectorData( ['/object'] ) ) meshTangents["filter"].setInput( pathFilter["out"] ) meshTangents['mode'].setValue( GafferScene.MeshTangents.Mode.PrimitiveCentroid ) object = meshTangents['out'].object( "/object" ) tangent = object["tangent"] biTangent = object["biTangent"] self.assertEqual( len( tangent.data ), 3 ) self.assertEqual( len( biTangent.data ), 3 ) for v, v1 in zip( tangent.data, [x.normalized() for x in [ imath.V3f( 1, 1, 0 ), imath.V3f( -2, 1, 0 ), imath.V3f( 1, -2, 0 ) ] ] ): self.assertTrue( v.equalWithAbsError( v1, 0.000001 ) ) for v, v1 in zip( tangent.data, [x.normalized() for x in [ imath.V3f( 1, 1, 0 ), imath.V3f( -2, 1, 0 ), imath.V3f( 1, -2, 0 ) ] ] ): self.assertTrue( v.equalWithAbsError( v1, 0.000001 ) ) def testCanRenameOutputTangents( self ) : meshTangents = GafferScene.MeshTangents() triangleScene = self.makeTriangleScene() meshTangents["in"].setInput( triangleScene["out"] ) pathFilter = GafferScene.PathFilter( "PathFilter" ) pathFilter["paths"].setValue( IECore.StringVectorData( ['/object'] ) ) meshTangents["filter"].setInput( pathFilter["out"] ) meshTangents["uTangent"].setValue( "foo" ) meshTangents["vTangent"].setValue( "bar" ) object = meshTangents['out'].object( "/object" ) uTangent = object["foo"] vTangent = object["bar"] self.assertEqual( len( uTangent.data ), 3 ) self.assertEqual( len( vTangent.data ), 3 ) for v in uTangent.data : self.assertTrue( v.equalWithAbsError( imath.V3f( 1, 0, 0 ), 0.000001 ) ) for v in vTangent.data : self.assertTrue( v.equalWithAbsError( imath.V3f( 0, 1, 0 ), 0.000001 ) ) def testCanUseSecondUVSet( self ) : meshTangents = GafferScene.MeshTangents() meshTangents["uvSet"].setValue( "foo" ) triangleScene = self.makeTriangleScene() meshTangents["in"].setInput( triangleScene["out"] ) pathFilter = GafferScene.PathFilter( "PathFilter" ) pathFilter["paths"].setValue( IECore.StringVectorData( ['/object'] ) ) meshTangents["filter"].setInput( pathFilter["out"] ) object = meshTangents['out'].object( "/object" ) uTangent = object["uTangent"] vTangent = object["vTangent"] self.assertEqual( len( uTangent.data ), 3 ) self.assertEqual( len( vTangent.data ), 3 ) for v in uTangent.data : self.assertTrue( v.equalWithAbsError( imath.V3f( 0, 1, 0 ), 0.000001 ) ) # really I'd expect the naive answer to the vTangent to be IECore.V3f( 1, 0, 0 ) # but the code forces the triple of n, uT, vT to flip the direction of vT if we don't have a correctly handed set of basis vectors for v in vTangent.data : self.assertTrue( v.equalWithAbsError( imath.V3f( -1, 0, 0 ), 0.000001 ) ) def testCanUsePref( self ) : meshTangents = GafferScene.MeshTangents() meshTangents["position"].setValue( "Pref" ) triangleScene = self.makeTriangleScene() meshTangents["in"].setInput( triangleScene["out"] ) pathFilter = GafferScene.PathFilter( "PathFilter" ) pathFilter["paths"].setValue( IECore.StringVectorData( ['/object'] ) ) meshTangents["filter"].setInput( pathFilter["out"] ) object = meshTangents['out'].object( "/object" ) uTangent = object["uTangent"] vTangent = object["vTangent"] self.assertEqual( len( uTangent.data ), 3 ) self.assertEqual( len( vTangent.data ), 3 ) for v in uTangent.data : self.assertTrue( v.equalWithAbsError( imath.V3f( 0, -1, 0 ), 0.000001 ) ) for v in vTangent.data : self.assertTrue( v.equalWithAbsError( imath.V3f( 1, 0, 0 ), 0.000001 ) ) def testHandedness( self ) : isLeftHanded = lambda u, v, n : u.cross( v ).dot( n ) < 0 meshTangents = GafferScene.MeshTangents() triangleScene = self.makeTriangleScene() meshTangents["in"].setInput( triangleScene["out"] ) pathFilter = GafferScene.PathFilter( "PathFilter" ) pathFilter["paths"].setValue( IECore.StringVectorData( ['/object'] ) ) meshTangents["filter"].setInput( pathFilter["out"] ) meshTangents['orthogonal'].setValue( True ) meshTangents['mode'].setValue( GafferScene.MeshTangents.Mode.UV ) meshTangents['leftHanded'].setValue( True ) object = meshTangents['out'].object( "/object" ) n = imath.V3f(0,0,1) for u, v in zip( object['uTangent'].data, object['vTangent'].data ) : self.assertTrue( isLeftHanded( u, v, n ) ) meshTangents['leftHanded'].setValue( False ) object = meshTangents['out'].object( "/object" ) for u, v in zip( object['uTangent'].data, object['vTangent'].data ) : self.assertFalse( isLeftHanded( u, v, n ) ) meshTangents['mode'].setValue( GafferScene.MeshTangents.Mode.FirstEdge ) meshTangents['leftHanded'].setValue( True ) object = meshTangents['out'].object( "/object" ) for u, v, n in zip( object['tangent'].data, object['biTangent'].data, object['N'].data ) : self.assertTrue( isLeftHanded( u, v, n ) ) meshTangents['leftHanded'].setValue( False ) object = meshTangents['out'].object( "/object" ) for u, v, n in zip( object['tangent'].data, object['biTangent'].data, object['N'].data ) : self.assertFalse( isLeftHanded( u, v, n ) ) meshTangents['mode'].setValue( GafferScene.MeshTangents.Mode.TwoEdges ) meshTangents['leftHanded'].setValue( True ) object = meshTangents['out'].object( "/object" ) for u, v, n in zip( object['tangent'].data, object['biTangent'].data, object['N'].data ) : self.assertTrue( isLeftHanded( u, v, n ) ) meshTangents['leftHanded'].setValue( False ) object = meshTangents['out'].object( "/object" ) for u, v, n in zip( object['tangent'].data, object['biTangent'].data, object['N'].data ) : self.assertFalse( isLeftHanded( u, v, n ) ) meshTangents['mode'].setValue( GafferScene.MeshTangents.Mode.PrimitiveCentroid ) meshTangents['leftHanded'].setValue( True ) object = meshTangents['out'].object( "/object" ) for u, v, n in zip( object['tangent'].data, object['biTangent'].data, object['N'].data ) : self.assertTrue( isLeftHanded( u, v, n ) ) meshTangents['leftHanded'].setValue( False ) object = meshTangents['out'].object( "/object" ) for u, v, n in zip( object['tangent'].data, object['biTangent'].data, object['N'].data ) : self.assertFalse( isLeftHanded( u, v, n ) )

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1

0

null

0

6

317ec133ace71f28a2d18cd183b30dc6e5f8e960

35

py

Python

inline_text_assets/__init__.py

jungvonmatt/grow-ext-dynamic-css-bundles

733fb07e2e0406a5df7e741927b77676a35d23cc

[ "Apache-2.0" ]

null

inline_text_assets/__init__.py

jungvonmatt/grow-ext-dynamic-css-bundles

733fb07e2e0406a5df7e741927b77676a35d23cc

[ "Apache-2.0" ]

null

inline_text_assets/__init__.py

jungvonmatt/grow-ext-dynamic-css-bundles

733fb07e2e0406a5df7e741927b77676a35d23cc

[ "Apache-2.0" ]

1

2021-01-15T15:40:34.000Z

from . inline_text_assets import *

17.5

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5.2

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0

1

0

1

0

1

0

6

3192a7ff1755652cf0db501944b470e76c2d779a

4,601

py

Python

CricketGround/Cricketground.py

Vignesh1326/Glowscript-Works

8a0ead2ad84e5051e21d093b95e36e22324688dd

[ "MIT" ]

null

CricketGround/Cricketground.py

Vignesh1326/Glowscript-Works

8a0ead2ad84e5051e21d093b95e36e22324688dd

[ "MIT" ]

null

CricketGround/Cricketground.py

Vignesh1326/Glowscript-Works

8a0ead2ad84e5051e21d093b95e36e22324688dd

[ "MIT" ]

null

GlowScript 3.0 VPython ground=box(pos=vector(0,0,0),size=vector(200,200,1),color=color.green) bline1=box(pos=vector(0,-100,1),size=vector(200,1,1),color=color.red) bline2=box(pos=vector(100,0,1),size=vector(1,200,1),color=color.red) bline3=box(pos=vector(-100,0,1),size=vector(1,200,1),color=color.red) bline4=box(pos=vector(0,100,1),size=vector(200,1,1),color=color.red) ptch=box(pos=vector(0,0,0),size=vector(15,40,2),color=color.white) s11=arrow(pos=vector(-1,-20,1),color=color.black,axis=vector(0,0,3)) s12=arrow(pos=vector(0,-20,1),color=color.black,axis=vector(0,0,3)) s13=arrow(pos=vector(1,-20,1),color=color.black,axis=vector(0,0,3)) s21=arrow(pos=vector(-1,20,1),color=color.black,axis=vector(0,0,3)) s22=arrow(pos=vector(0,20,1),color=color.black,axis=vector(0,0,3)) s23=arrow(pos=vector(1,20,1),color=color.black,axis=vector(0,0,3)) striker=arrow(pos=vector(0,18,1),color=color.yellow,axis=vector(0,0,5)) nonstriker=arrow(pos=vector(5,-18,1),color=color.yellow,axis=vector(0,0,5)) bowler=arrow(pos=vector(-1,-18,1),color=color.blue,axis=vector(0,0,5)) keeper=arrow(pos=vector(-3,30,1),color=color.blue,axis=vector(0,0,5)) slip1=arrow(pos=vector(-6,33,1),color=color.blue,axis=vector(0,0,5)) extracoverf=arrow(pos=vector(-85,-70,1),color=color.blue,axis=vector(0,0,5)) coverf=arrow(pos=vector(-45,-10,1),color=color.blue,axis=vector(0,0,5)) longonf=arrow(pos=vector(-30,-90,1),color=color.blue,axis=vector(0,0,5)) longofff=arrow(pos=vector(30,-90,1),color=color.blue,axis=vector(0,0,5)) legf=arrow(pos=vector(45,-10,1),color=color.blue,axis=vector(0,0,5)) thirdmanf=arrow(pos=vector(-90,90,1),color=color.blue,axis=vector(0,0,5)) leggf=arrow(pos=vector(10,85,1),color=color.blue,axis=vector(0,0,5)) gullyf=arrow(pos=vector(-35,15,1),color=color.blue,axis=vector(0,0,5)) umpire=arrow(pos=vector(0,-22,1),color=color.red,axis=vector(0,0,5)) batcrease=box(pos=vector(0,17,0),color=color.black,size=vector(15,0.3,2)) bowlcrease=box(pos=vector(0,-17,0),color=color.black,size=vector(15,0.3,2)) wide1=box(pos=vector(-5,18.5,0),color=color.black,size=vector(0.3,3,2)) wide2=box(pos=vector(5,18.5,0),color=color.black,size=vector(0.3,3,2)) ball=sphere(pos=vector(-1,-18,4),color=color.cyan,radius=0.5) while True: rate(10) k=keysdown() scene.camera.follow(ball) if 'home' in k: for i in range(17): rate(10) ball.pos.y=ball.pos.y+1 ball.pos.z=ball.pos.z+0.5 for j in range(18): rate(10) ball.pos.y=ball.pos.y+1 ball.pos.z=ball.pos.z-0.5 if 'down' in k: if(ball.pos.y>=16 and ball.pos.y<=18): for ii in range(60): rate(10) ball.pos.y=ball.pos.y-1 ball.pos.z=ball.pos.z+1 longonf.pos.x=longonf.pos.x+0.2 for jj in range(62): rate(10) ball.pos.y=ball.pos.y-1 ball.pos.z=ball.pos.z-1 longonf.pos.x=longonf.pos.x+0.2 t = text(text='That is a huge six', align='center', color=color.red,height=10,depth=5) break if 'left' in k: if(ball.pos.y>=16 and ball.pos.y<=18): for ii in range(50): rate(10) ball.pos.x=ball.pos.x-1 ball.pos.z=ball.pos.z+1 extracoverf.pos.y=extracoverf.pos.y+0.8 for jj in range(52): rate(10) ball.pos.x=ball.pos.x-1 ball.pos.z=ball.pos.z-1 extracoverf.pos.y=extracoverf.pos.y+0.8 t = text(text='That is a huge six', align='center', color=color.red,height=10,depth=5) break if 'right' in k: if(ball.pos.y>=16 and ball.pos.y<=18): for ii in range(50): rate(10) ball.pos.x=ball.pos.x+1 ball.pos.z=ball.pos.z+1 legf.pos.x=legf.pos.x+0.5 for jj in range(52): rate(10) ball.pos.x=ball.pos.x+1 ball.pos.z=ball.pos.z-1 legf.pos.x=legf.pos.x+0.5 t = text(text='That is a huge six', align='center', color=color.red,height=10,depth=5) break if 'up' in k: for ii in range(2): rate(10) ball.pos.y=ball.pos.y+1 ball.pos.z=ball.pos.z-0.5 for jj in range(5): rate(10) s21.pos.y=s21.pos.y+0.4 s21.axis=vector(0,3,0) t = text(text='Well bowled...!!!...Sticks off', align='center', color=color.red,height=10,depth=5) break

46.01

106

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4,601

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0.671303

0

0.103543

0.20865

4,601

99

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null

0

null

0

1

0

null

0

1

0

6

31da5738bf249f7b6c3f9753778efeeee9a73203

281

py

Python

snmpagent_unity/unity_impl/PowerSupplyName.py

factioninc/snmp-unity-agent

3525dc0fac60d1c784dcdd7c41693544bcbef843

[ "Apache-2.0" ]

2

2019-03-01T11:14:59.000Z

2019-10-02T17:47:59.000Z

snmpagent_unity/unity_impl/PowerSupplyName.py

factioninc/snmp-unity-agent

3525dc0fac60d1c784dcdd7c41693544bcbef843

[ "Apache-2.0" ]

2

2019-03-01T11:26:29.000Z

2019-10-11T18:56:54.000Z

snmpagent_unity/unity_impl/PowerSupplyName.py

factioninc/snmp-unity-agent

3525dc0fac60d1c784dcdd7c41693544bcbef843

[ "Apache-2.0" ]

1

2019-10-03T21:09:17.000Z

class PowerSupplyName(object): def read_get(self, name, idx_name, unity_client): return unity_client.get_power_supply_name(idx_name) class PowerSupplyNameColumn(object): def get_idx(self, name, idx, unity_client): return unity_client.get_power_supplies()

31.222222

59

0.758007

38

281

5.263158

0.421053

0.22

0.11

0.22

0.36

0

0.156584

281

8

60

35.125

0.843882

0

1

0.333333

false

0

0.333333

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

6

31dddd6ae020792f4e13ab38614ad5f97ecd1813

41

py

Python

xbwt/__init__.py

dolce95/xbw-transform

bf6b402e2f04cacf2cb5120b00e7d9190b35e9f8

[ "MIT" ]

null

xbwt/__init__.py

dolce95/xbw-transform

bf6b402e2f04cacf2cb5120b00e7d9190b35e9f8

[ "MIT" ]

null

xbwt/__init__.py

dolce95/xbw-transform

bf6b402e2f04cacf2cb5120b00e7d9190b35e9f8

[ "MIT" ]

null

from .xbwt import readAndImportTree, XBWT

41

0.853659

5

41

7

0.8

0

0.097561

41

1

41

0.945946

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

31ebacc8a867fc81762b969d67dceab19d59d4a9

455

py

Python

torchsketch/data/datasets/__init__.py

songyzh/torchsketch

42bca1b31ab9699d9b6d77a102b1f46bba82fb33

[ "MIT" ]

182

2020-03-25T01:59:11.000Z

2022-03-29T08:58:47.000Z

torchsketch/data/datasets/__init__.py

songyzh/torchsketch

42bca1b31ab9699d9b6d77a102b1f46bba82fb33

[ "MIT" ]

5

2020-03-25T13:16:50.000Z

2022-02-19T09:51:39.000Z

torchsketch/data/datasets/__init__.py

songyzh/torchsketch

42bca1b31ab9699d9b6d77a102b1f46bba82fb33

[ "MIT" ]

17

2020-03-25T12:40:49.000Z

2022-03-28T06:34:40.000Z

from torchsketch.data.datasets.qmul_chair.download_qmul_chair import download_qmul_chair from torchsketch.data.datasets.qmul_shoe.download_qmul_shoe import download_qmul_shoe from torchsketch.data.datasets.quickdraw.quickdraw_414k.download_quickdraw_414k import download_quickdraw_414k from torchsketch.data.datasets.sketchy.download_sketchy import download_sketchy from torchsketch.data.datasets.tu_berlin.download_tu_berlin import download_tu_berlin

91

111

0.903297

63

455

6.174603

0.222222

0.192802

0.244216

0.347044

0.159383

0

0.020833

0.050549

455

5

112

91

0.87963

0

1

0

true

0

1

0

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0

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1

0

null

0

1

0

1

0

1

0

6

735f5eaec41e16b05672f2d0fd17dad013a9573b

52

py

Python

tools/Polygraphy/polygraphy/tools/to_json/__init__.py

spradius/TensorRT

eb5de99b523c76c2f3ae997855ad86d3a1e86a31

[ "Apache-2.0" ]

1

2021-08-23T01:15:16.000Z

tools/Polygraphy/polygraphy/tools/to_json/__init__.py

spradius/TensorRT

eb5de99b523c76c2f3ae997855ad86d3a1e86a31

[ "Apache-2.0" ]

null

tools/Polygraphy/polygraphy/tools/to_json/__init__.py

spradius/TensorRT

eb5de99b523c76c2f3ae997855ad86d3a1e86a31

[ "Apache-2.0" ]

1

2022-03-29T12:39:29.000Z

from polygraphy.tools.to_json.to_json import ToJSON

26

51

0.865385

9

52

4.777778

0.777778

0.27907

0

0.076923

52

1

52

0.895833

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

c308240704479edfa22634c9c2178c3e8c6ef1b0

207

py

Python

office365/graph/directory/directoryRole.py

stardust85/Office365-REST-Python-Client

cd369c607c7d137a000734e9c5e8f03ae3e3c603

[ "MIT" ]

null

office365/graph/directory/directoryRole.py

stardust85/Office365-REST-Python-Client

cd369c607c7d137a000734e9c5e8f03ae3e3c603

[ "MIT" ]

null

office365/graph/directory/directoryRole.py

stardust85/Office365-REST-Python-Client

cd369c607c7d137a000734e9c5e8f03ae3e3c603

[ "MIT" ]

null

from office365.graph.directory import DirectoryObject class DirectoryRole(DirectoryObject): """Represents an Azure AD directory role. Azure AD directory roles are also known as administrator roles """

34.5

112

0.801932

25

207

6.64

0.76

0.084337

0.192771

0

0.016854

0.140097

207

5

113

41.4

0.91573

0.487923

0

1

0

true

0

0.5

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

c321c5c72e2f30ee59e53d907568b47935c74313

17,301

py

Python

creel_portal/api/filters/FN123_Filter.py

AdamCottrill/CreelPortal

5ec867c4f11b4231c112e8209116b6b96c2830ec

[ "MIT" ]

null

creel_portal/api/filters/FN123_Filter.py

AdamCottrill/CreelPortal

5ec867c4f11b4231c112e8209116b6b96c2830ec

[ "MIT" ]

null

creel_portal/api/filters/FN123_Filter.py

AdamCottrill/CreelPortal

5ec867c4f11b4231c112e8209116b6b96c2830ec

[ "MIT" ]

null

""" ============================================================= ~/creel_portal/creel_portal/api/filters.py Created: 29 Mar 2020 09:49:43 DESCRIPTION: Filters associated with our api endpoints A. Cottrill ============================================================= """ import django_filters from django_filters import rest_framework as filters from ...models.fishnet2 import FN123 from .filter_utils import ValueInFilter class FN123Filter(filters.FilterSet): """FN123 objects represent catch counts associated with an interview.""" # FN123 field filters: # "spc" # "grp", # "sek", # "hvscnt", # "rlscnt", # "mescnt", # "meswt", spc = ValueInFilter(field_name="spc") spc__not = ValueInFilter(field_name="spc", exclude=True) grp = ValueInFilter(field_name="grp") grp__not = ValueInFilter(field_name="grp", exclude=True) sek = django_filters.BooleanFilter(field_name="sek") hsvcnt = django_filters.CharFilter(field_name="hsvcnt", lookup_expr="exact") hsvcnt__gte = django_filters.NumberFilter(field_name="hsvcnt", lookup_expr="gte") hsvcnt__lte = django_filters.NumberFilter(field_name="hsvcnt", lookup_expr="lte") hsvcnt__gt = django_filters.NumberFilter(field_name="hsvcnt", lookup_expr="gt") hsvcnt__lt = django_filters.NumberFilter(field_name="hsvcnt", lookup_expr="lt") rlscnt = django_filters.CharFilter(field_name="rlscnt", lookup_expr="exact") rlscnt__gte = django_filters.NumberFilter(field_name="rlscnt", lookup_expr="gte") rlscnt__lte = django_filters.NumberFilter(field_name="rlscnt", lookup_expr="lte") rlscnt__gt = django_filters.NumberFilter(field_name="rlscnt", lookup_expr="gt") rlscnt__lt = django_filters.NumberFilter(field_name="rlscnt", lookup_expr="lt") mescnt = django_filters.CharFilter(field_name="mescnt", lookup_expr="exact") mescnt__gte = django_filters.NumberFilter(field_name="mescnt", lookup_expr="gte") mescnt__lte = django_filters.NumberFilter(field_name="mescnt", lookup_expr="lte") mescnt__gt = django_filters.NumberFilter(field_name="mescnt", lookup_expr="gt") mescnt__lt = django_filters.NumberFilter(field_name="mescnt", lookup_expr="lt") # INTERVIEW ATTRIBUTES: itvtm0 = django_filters.TimeFilter( field_name="interview__itvtm0", help_text="format: HH:MM" ) itvtm0__gte = django_filters.TimeFilter( field_name="interview__itvtm0", lookup_expr="gte", help_text="format: HH:MM" ) itvtm0__lte = django_filters.TimeFilter( field_name="interview__itvtm0", lookup_expr="lte", help_text="format: HH:MM" ) itvtm0__gt = django_filters.TimeFilter( field_name="interview__itvtm0", lookup_expr="gt", help_text="format: HH:MM" ) itvtm0__lt = django_filters.TimeFilter( field_name="interview__itvtm0", lookup_expr="lt", help_text="format: HH:MM" ) efftm0 = django_filters.TimeFilter( field_name="interview__efftm0", help_text="format: HH:MM" ) efftm0__gte = django_filters.TimeFilter( field_name="interview__efftm0", lookup_expr="gte", help_text="format: HH:MM" ) efftm0__lte = django_filters.TimeFilter( field_name="interview__efftm0", lookup_expr="lte", help_text="format: HH:MM" ) efftm0__gt = django_filters.TimeFilter( field_name="interview__efftm0", lookup_expr="gt", help_text="format: HH:MM" ) efftm0__lt = django_filters.TimeFilter( field_name="interview__efftm0", lookup_expr="lt", help_text="format: HH:MM" ) efftm1 = django_filters.TimeFilter( field_name="interview__efftm1", help_text="format: HH:MM" ) efftm1__gte = django_filters.TimeFilter( field_name="interview__efftm1", lookup_expr="gte", help_text="format: HH:MM" ) efftm1__lte = django_filters.TimeFilter( field_name="interview__efftm1", lookup_expr="lte", help_text="format: HH:MM" ) efftm1__gt = django_filters.TimeFilter( field_name="interview__efftm1", lookup_expr="gt", help_text="format: HH:MM" ) efftm1__lt = django_filters.TimeFilter( field_name="interview__efftm1", lookup_expr="lt", help_text="format: HH:MM" ) date = django_filters.DateFilter( field_name="interview__date", help_text="format: yyyy-mm-dd" ) date__gte = django_filters.DateFilter( field_name="interview__date", lookup_expr="gte", help_text="format: yyyy-mm-dd" ) date__lte = django_filters.DateFilter( field_name="interview__date", lookup_expr="lte", help_text="format: yyyy-mm-dd" ) date__gt = django_filters.DateFilter( field_name="interview__date", lookup_expr="gt", help_text="format: yyyy-mm-dd" ) date__lt = django_filters.DateFilter( field_name="interview__date", lookup_expr="lt", help_text="format: yyyy-mm-dd" ) persons = django_filters.CharFilter( field_name="interview__persons", lookup_expr="exact" ) persons__gte = django_filters.NumberFilter( field_name="interview__persons", lookup_expr="gte" ) persons__lte = django_filters.NumberFilter( field_name="interview__persons", lookup_expr="lte" ) persons__gt = django_filters.NumberFilter( field_name="interview__persons", lookup_expr="gt" ) persons__lt = django_filters.NumberFilter( field_name="interview__persons", lookup_expr="lt" ) anglers = django_filters.CharFilter( field_name="interview__anglers", lookup_expr="exact" ) anglers__gte = django_filters.NumberFilter( field_name="interview__anglers", lookup_expr="gte" ) anglers__lte = django_filters.NumberFilter( field_name="interview__anglers", lookup_expr="lte" ) anglers__gt = django_filters.NumberFilter( field_name="interview__anglers", lookup_expr="gt" ) anglers__lt = django_filters.NumberFilter( field_name="interview__anglers", lookup_expr="lt" ) rods = django_filters.CharFilter(field_name="interview__rods", lookup_expr="exact") rods__gte = django_filters.NumberFilter( field_name="interview__rods", lookup_expr="gte" ) rods__lte = django_filters.NumberFilter( field_name="interview__rods", lookup_expr="lte" ) rods__gt = django_filters.NumberFilter( field_name="interview__rods", lookup_expr="gt" ) rods__lt = django_filters.NumberFilter( field_name="interview__rods", lookup_expr="lt" ) angmeth = ValueInFilter(field_name="interview__angmeth") angmeth__not = ValueInFilter(field_name="interview__angmeth", exclude=True) comment1__like = django_filters.CharFilter( field_name="interview__comment1", lookup_expr="icontains" ) # FN011 ATTRIBUTES year = django_filters.CharFilter( field_name="interview__sama__creel__year", lookup_expr="exact" ) year__gte = django_filters.NumberFilter( field_name="interview__sama__creel__year", lookup_expr="gte" ) year__lte = django_filters.NumberFilter( field_name="interview__sama__creel__year", lookup_expr="lte" ) year__gt = django_filters.NumberFilter( field_name="interview__sama__creel__year", lookup_expr="gt" ) year__lt = django_filters.NumberFilter( field_name="interview__sama__creel__year", lookup_expr="lt" ) prj_date0 = django_filters.DateFilter( field_name="interview__sama__creel__prj_date0", help_text="format: yyyy-mm-dd" ) prj_date0__gte = django_filters.DateFilter( field_name="interview__sama__creel__prj_date0", lookup_expr="gte", help_text="format: yyyy-mm-dd", ) prj_date0__lte = django_filters.DateFilter( field_name="interview__sama__creel__prj_date0", lookup_expr="lte", help_text="format: yyyy-mm-dd", ) prj_date1 = django_filters.DateFilter( field_name="interview__sama__creel__prj_date1", help_text="format: yyyy-mm-dd" ) prj_date1__gte = django_filters.DateFilter( field_name="interview__sama__creel__prj_date1", lookup_expr="gte", help_text="format: yyyy-mm-dd", ) prj_date1__lte = django_filters.DateFilter( field_name="interview__sama__creel__prj_date1", lookup_expr="lte", help_text="format: yyyy-mm-dd", ) prj_cd = ValueInFilter(field_name="interview__sama__creel__prj_cd") prj_cd__not = ValueInFilter( field_name="interview__sama__creel__prj_cd", exclude=True ) prj_cd__like = django_filters.CharFilter( field_name="interview__sama__creel__prj_cd", lookup_expr="icontains" ) prj_cd__not_like = django_filters.CharFilter( field_name="interview__sama__creel__prj_cd", lookup_expr="icontains", exclude=True, ) prj_cd__endswith = django_filters.CharFilter( field_name="interview__sama__creel__prj_cd", lookup_expr="endswith" ) prj_cd__not_endswith = django_filters.CharFilter( field_name="interview__sama__creel__prj_cd", lookup_expr="endswith", exclude=True, ) prj_nm__like = django_filters.CharFilter( field_name="interview__sama__creel__prj_nm", lookup_expr="icontains" ) prj_nm__not_like = django_filters.CharFilter( field_name="interview__sama__creel__prj_nm", lookup_expr="icontains", exclude=True, ) prj_ldr = django_filters.CharFilter( field_name="interview__sama__creel__prj_ldr__username", lookup_expr="iexact" ) contmeth = ValueInFilter(field_name="interview__sama__creel__contmeth") contmeth__not = ValueInFilter( field_name="interview__sama__creel__contmeth", exclude=True ) lake = ValueInFilter(field_name="interview__sama__creel__lake__abbrev") lake__not = ValueInFilter( field_name="interview__sama__creel__lake__abbrev", exclude=True ) # SEASON FILTERS: ssn = ValueInFilter(field_name="interview__sama__season__ssn") ssn__not = ValueInFilter(field_name="interview__sama__season__ssn", exclude=True) ssn__like = django_filters.CharFilter( field_name="interview__sama__season__ssn", lookup_expr="icontains" ) ssn__not_like = django_filters.CharFilter( field_name="interview__sama__season__ssn", lookup_expr="icontains", exclude=True ) ssn_des = ValueInFilter(field_name="interview__sama__season__ssn_des") ssn_des__not = ValueInFilter( field_name="interview__sama__season__ssn_des", exclude=True ) ssn_des__like = django_filters.CharFilter( field_name="interview__sama__season__ssn_des", lookup_expr="icontains" ) ssn_des__not_like = django_filters.CharFilter( field_name="interview__sama__season__ssn_des", lookup_expr="icontains", exclude=True, ) ssn_date0 = django_filters.DateFilter( field_name="interview__sama__season__ssn_date0", help_text="format: yyyy-mm-dd" ) ssn_date0__gte = django_filters.DateFilter( field_name="interview__sama__season__ssn_date0", lookup_expr="gte", help_text="format: yyyy-mm-dd", ) ssn_date0__lte = django_filters.DateFilter( field_name="interview__sama__season__ssn_date0", lookup_expr="lte", help_text="format: yyyy-mm-dd", ) ssn_date1 = django_filters.DateFilter( field_name="interview__sama__season__ssn_date1", help_text="format: yyyy-mm-dd" ) ssn_date1__gte = django_filters.DateFilter( field_name="interview__sama__season__ssn_date1", lookup_expr="gte", help_text="format: yyyy-mm-dd", ) ssn_date1__lte = django_filters.DateFilter( field_name="interview__sama__season__ssn_date1", lookup_expr="lte", help_text="format: yyyy-mm-dd", ) # daytype filters dtp = ValueInFilter(field_name="interview__sama__daytype__dtp") dtp__not = ValueInFilter(field_name="interview__sama__daytype__dtp", exclude=True) dtp_nm__like = django_filters.CharFilter( field_name="interview__sama__daytype__dtp_nm", lookup_expr="icontains" ) dtp_nm__not_like = django_filters.CharFilter( field_name="interview__sama__daytype__dtp_nm", lookup_expr="icontains", exclude=True, ) # Period filters prd = ValueInFilter(field_name="interview__sama__prd__prd") prd__not = ValueInFilter(field_name="interview__sama__prd__prd", exclude=True) prdtm0 = django_filters.TimeFilter( field_name="interview__sama__prd__prdtm0", help_text="format: HH:MM" ) prdtm0__gte = django_filters.TimeFilter( field_name="interview__sama__prd__prdtm0", lookup_expr="gte", help_text="format: HH:MM", ) prdtm0__lte = django_filters.TimeFilter( field_name="interview__sama__prd__prdtm0", lookup_expr="lte", help_text="format: HH:MM", ) prdtm1 = django_filters.TimeFilter( field_name="interview__sama__prd__prdtm1", help_text="format: HH:MM" ) prdtm1__gte = django_filters.TimeFilter( field_name="interview__sama__prd__prdtm1", lookup_expr="gte", help_text="format: HH:MM", ) prdtm1__lte = django_filters.TimeFilter( field_name="interview__sama__prd__prdtm1", lookup_expr="lte", help_text="format: HH:MM", ) prd_dur__gte = django_filters.NumberFilter( field_name="interview__sama__prd__prd_dur", lookup_expr="gte" ) prd_dur__lte = django_filters.NumberFilter( field_name="interview__sama__prd__prd_dur", lookup_expr="lte" ) # SPACE filters space = ValueInFilter(field_name="interview__sama__area__space") space__not = ValueInFilter(field_name="interview__sama__area__space", exclude=True) space__like = django_filters.CharFilter( field_name="interview__sama__area__space", lookup_expr="icontains" ) space__not_like = django_filters.CharFilter( field_name="interview__sama__area__space", lookup_expr="icontains", exclude=True ) space_des = ValueInFilter(field_name="interview__sama__area__space_des") space_des__not = ValueInFilter( field_name="interview__sama__area__space_des", exclude=True ) space_des__like = django_filters.CharFilter( field_name="interview__sama__area__space_des", lookup_expr="icontains" ) space_des__not_like = django_filters.CharFilter( field_name="interview__sama__area__space_des", lookup_expr="icontains", exclude=True, ) # TO DO - add NULL NOT_NULL space_siz__gte = django_filters.NumberFilter( field_name="interview__sama__area__space_siz", lookup_expr="gte" ) space_siz__lte = django_filters.NumberFilter( field_name="interview__sama__area__space_siz", lookup_expr="lte" ) space_siz__gt = django_filters.NumberFilter( field_name="interview__sama__area__space_siz", lookup_expr="gt" ) space_siz__lt = django_filters.NumberFilter( field_name="interview__sama__area__space_siz", lookup_expr="lt" ) # TO DO - add NULL NOT_NULL area_cnt__gte = django_filters.NumberFilter( field_name="interview__sama__area__area_cnt", lookup_expr="gte" ) area_cnt__lte = django_filters.NumberFilter( field_name="interview__sama__area__area_cnt", lookup_expr="lte" ) area_cnt__gt = django_filters.NumberFilter( field_name="interview__sama__area__area_cnt", lookup_expr="gt" ) area_cnt__lt = django_filters.NumberFilter( field_name="interview__sama__area__area_cnt", lookup_expr="lt" ) # TO DO - add NULL NOT_NULL area_wt__gte = django_filters.NumberFilter( field_name="interview__sama__area__area_wt", lookup_expr="gte" ) area_wt__lte = django_filters.NumberFilter( field_name="interview__sama__area__area_wt", lookup_expr="lte" ) area_wt__gt = django_filters.NumberFilter( field_name="interview__sama__area__area_wt", lookup_expr="gt" ) area_wt__lt = django_filters.NumberFilter( field_name="interview__sama__area__area_wt", lookup_expr="lt" ) # MODE mode = ValueInFilter(field_name="interview__sama__mode__mode") mode__not = ValueInFilter(field_name="interview__sama__mode__mode", exclude=True) mode__like = django_filters.CharFilter( field_name="interview__sama__mode__mode", lookup_expr="icontains" ) mode__not_like = django_filters.CharFilter( field_name="interview__sama__mode__mode", lookup_expr="icontains", exclude=True ) mode_des = ValueInFilter(field_name="interview__sama__mode__mode_des") mode_des__not = ValueInFilter( field_name="interview__sama__mode__mode_des", exclude=True ) mode_des__like = django_filters.CharFilter( field_name="interview__sama__mode__mode_des", lookup_expr="icontains" ) mode_des__not_like = django_filters.CharFilter( field_name="interview__sama__mode__mode_des", lookup_expr="icontains", exclude=True, ) class Meta: model = FN123 fields = [ "grp", "sek", "hvscnt", "rlscnt", "mescnt", "meswt", ]

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null

0

6

c33365b164f75c3b586baf639897420f075f450e

316

py

Python

NucleationModel/losses.py

MFrassek/CommittorEAE

88a467e4500bc9ab69834209f4eaec9f2d0d7a61

[ "MIT" ]

null

NucleationModel/losses.py

MFrassek/CommittorEAE

88a467e4500bc9ab69834209f4eaec9f2d0d7a61

[ "MIT" ]

null

NucleationModel/losses.py

MFrassek/CommittorEAE

88a467e4500bc9ab69834209f4eaec9f2d0d7a61

[ "MIT" ]

null

import tensorflow as tf def binaryNegLikelihood(y_actual, y_pred): return -(y_actual * tf.math.log(y_pred) + (1-y_actual) * tf.math.log(1-y_pred)) def binomialNegLikelihood(y_actual, y_pred): return -(2*y_actual * tf.math.log(y_pred) + (2*(1-y_actual)) * tf.math.log(1-y_pred))

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6

c353835e032eb85f3ad13cd6ecc6ad1dd4312f8a

378

py

Python

compilacion/analisis_semantico/Ast/instructions/breakNode.py

Gusta2307/Football-Simulation-IA-SIM-COM-

8c29c5b1ef61708a4f8b34f5e0e00990aeecfacd

[ "MIT" ]

null

compilacion/analisis_semantico/Ast/instructions/breakNode.py

Gusta2307/Football-Simulation-IA-SIM-COM-

8c29c5b1ef61708a4f8b34f5e0e00990aeecfacd

[ "MIT" ]

null

compilacion/analisis_semantico/Ast/instructions/breakNode.py

Gusta2307/Football-Simulation-IA-SIM-COM-

8c29c5b1ef61708a4f8b34f5e0e00990aeecfacd

[ "MIT" ]

1

2022-02-07T04:47:15.000Z

from compilacion.analisis_semantico.Ast.instruction import Instruction from compilacion.analisis_semantico.scope import Scope class BreakNode(Instruction): def __init__(self) -> None: pass def checkSemantic(self, scope: Scope) -> bool: return True def execute(self, scope: Scope): pass def visit(self, scope): return True

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0.687831

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378

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0.488372

0.106299

0.181102

0.251969

0

0.23545

378

16

71

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0.363636

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null

0

1

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0

1

0

6

c372708e2a5b38d4dffaebb2f414e53adbfb47f0

37

py

Python

btbot/siders/__init__.py

virtualpeer/btbot

fd0cae7c3e946631e42128630579cb9f93678805

[ "MIT" ]

8

2019-01-28T00:14:55.000Z

2022-03-02T07:18:24.000Z

btbot/siders/__init__.py

dioconnoi/btbot

c7ed77beecdae59d2bf72c62e93afa847f60493a

[ "MIT" ]

null

btbot/siders/__init__.py

dioconnoi/btbot

c7ed77beecdae59d2bf72c62e93afa847f60493a

[ "MIT" ]

11

2018-10-19T14:56:40.000Z

2022-03-02T07:18:26.000Z

from .crossover import CrossOverSider

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1

37

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1

0

1

0

6

c37b3afc18308f0fbd59cf462b25677ef9f9ec29

99

py

Python

app/forms.py

HackCCNU/mumei

dbc7551c1694755e7d388a519da91a620550574d

[ "WTFPL", "Unlicense" ]

6

2016-10-27T13:45:04.000Z

2017-09-17T04:38:09.000Z

examples/HelloAPI/app/main/forms.py

misakar/rest

8bf7369aaa9da5cc4a300c625e4d7fea21f52681

[ "MIT" ]

7

2020-03-24T16:05:11.000Z

2022-01-13T00:51:53.000Z

examples/HelloAPI/app/main/forms.py

misakar/rest

8bf7369aaa9da5cc4a300c625e4d7fea21f52681

[ "MIT" ]

4

2015-12-11T03:20:27.000Z

2016-02-03T04:47:52.000Z

# coding: utf-8 from flask_wtf import Form # from wtforms import # from wtforms.validators import

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6

48c119ba8fcdbcf99d2f218409d9ab41ec7d6e28

197

py

Python

working/Lib/__init__.py

tehologist/x-venture

17d18e9b7b58ac9a8e01bf626e5ceedac4ef4cfc

[ "MIT" ]

null

working/Lib/__init__.py

tehologist/x-venture

17d18e9b7b58ac9a8e01bf626e5ceedac4ef4cfc

[ "MIT" ]

null

working/Lib/__init__.py

tehologist/x-venture

17d18e9b7b58ac9a8e01bf626e5ceedac4ef4cfc

[ "MIT" ]

null

#@+leo-ver=4-thin #@+node:234.20061005223719:@thin .\\Lib\\__init__.py """Various classes for use in implementing generic mud.""" #@nonl #@-node:234.20061005223719:@thin .\\Lib\\__init__.py #@-leo

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197

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1

0

null

0

1

0

6

48e7e0b9081fa4a6b4b409b8bb12007d2426cabe

58

py

Python

timeframeds/__init__.py

andyceo/pylibs

df2eec6f9903e27ab02a82688378207eedb1b419

[ "MIT" ]

1

2019-10-28T08:56:41.000Z

timeframeds/__init__.py

andyceo/pylibs

df2eec6f9903e27ab02a82688378207eedb1b419

[ "MIT" ]

null

timeframeds/__init__.py

andyceo/pylibs

df2eec6f9903e27ab02a82688378207eedb1b419

[ "MIT" ]

null

from .timeframe import * from .timeframe_dataset import *

19.333333

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0

6

48f32efe42260e471dc8b21e1fbde7263d22c179

351

py

Python

pycord/models/__init__.py

4rqm/pycord

8debf345ee64957754ae6b16af6520ac352fbe87

[ "MIT" ]

23

2017-09-16T13:13:12.000Z

2017-11-16T23:24:46.000Z

pycord/models/__init__.py

4rqm/pycord

8debf345ee64957754ae6b16af6520ac352fbe87

[ "MIT" ]

5

2017-11-20T04:39:26.000Z

2020-11-29T09:32:47.000Z

pycord/models/__init__.py

kyb3r/pycord

8debf345ee64957754ae6b16af6520ac352fbe87

[ "MIT" ]

11

2018-01-19T14:51:38.000Z

2021-04-07T08:38:42.000Z

from .channel import Channel, TextChannel, VoiceChannel, CategoryChannel, DMChannel, DMGroupChannel, TEXTCHANNEL, \ VOICECHANNEL, CATEGORYCHANNEL, DMCHANNEL, GROUPDMCHANNEL, GUILD_CHANNELS, DM_CHANNELS from .embed import Embed from .guild import Guild from .message import Message from .role import Role from .user import User, ClientUser, Member

43.875

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5b114c594794d25bcb90c30d25ebd7023222fefb

2,462

py

Python

chigre/tests/test_secrets.py

javiercp/holdmybeer

1b8f847c9a9d35880b8461c16c6ec7630bde86f5

[ "MIT" ]

null

chigre/tests/test_secrets.py

javiercp/holdmybeer

1b8f847c9a9d35880b8461c16c6ec7630bde86f5

[ "MIT" ]

53

2018-06-14T16:17:51.000Z

2021-07-21T04:31:55.000Z

chigre/tests/test_secrets.py

javiercp/holdmybeer

1b8f847c9a9d35880b8461c16c6ec7630bde86f5

[ "MIT" ]

null

from django.contrib.auth.models import User from rest_framework import status from rest_framework.test import APITestCase from rest_framework.reverse import reverse from chigre.models import Secrets from chigre.serializers import SecretsSerializer # Create your tests here. class SecretsReadTest(APITestCase): def setUp(self): self.superuser = User.objects.create_superuser('john', 'john@snow.com', 'johnpassword') self.client.login(username='john', password='johnpassword') self.secrets = Secrets.load() self.secrets.maps_key = '123' self.secrets.save() def test_read_secrets(self): """ Ensure we can read the secrets object. """ url = reverse('secrets-info') response = self.client.get(url, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.data, {'maps_key': '123'}) class SecretsUpdateTest(APITestCase): def setUp(self): self.superuser = User.objects.create_superuser('john', 'john@snow.com', 'johnpassword') self.client.login(username='john', password='johnpassword') self.secrets = Secrets.load() self.secrets.maps_key = '321' self.secrets.save() self.data = SecretsSerializer(self.secrets).data self.data.update({'maps_key': '123'}) def test_update_secrets(self): """ Ensure we can update the secrets object. """ url = reverse('secrets-info') response = self.client.put(url, self.data, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.data, {'maps_key': '123'}) class PubDeleteTest(APITestCase): def setUp(self): self.superuser = User.objects.create_superuser('john', 'john@snow.com', 'johnpassword') self.client.login(username='john', password='johnpassword') self.secrets = Secrets.load() self.secrets.maps_key = '123' self.secrets.save() self.secrets.delete() def test_read_secrets(self): """ Ensure we can read the secrets object. """ url = reverse('secrets-info') response = self.client.get(url, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.data, {'maps_key': '123'})

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null

0

1

0

6

d28fd931e66ba2e45e2f25e64f49818ff0a1ee8d

70,927

py

Python

callbacks/data_anti_bar_drug_callbacks.py

peilinja/A-medical-business-data-quality-check-web-tool

eb88d8430dd176ee0c80735c24d4e27da1c137e3

[ "MIT" ]

1

2022-02-21T18:26:59.000Z

callbacks/data_anti_bar_drug_callbacks.py

peilinja/A-medical-business-data-quality-check-web-tool

eb88d8430dd176ee0c80735c24d4e27da1c137e3

[ "MIT" ]

null

callbacks/data_anti_bar_drug_callbacks.py

peilinja/A-medical-business-data-quality-check-web-tool

eb88d8430dd176ee0c80735c24d4e27da1c137e3

[ "MIT" ]

null

import json import io import plotly.graph_objects as go from plotly.subplots import make_subplots import dash from dash import html from dash import dcc import dash_bootstrap_components as dbc import pandas as pd import numpy as np import plotly.express as px from dash.dependencies import Output, Input, State from datetime import datetime, timedelta from server import app import plotly.graph_objects as go import plotly.express as px from sqlalchemy import create_engine from flask import send_file import os from joblib import Parallel, delayed from dash.exceptions import PreventUpdate import time import re def discriminated_antis(all_antis): try: df_抗菌药物 = pd.read_csv(r'./抗菌药物字典.csv') except: df_抗菌药物 = pd.read_csv(r'./抗菌药物字典.csv', encoding='gbk') def isanti(x): df_抗菌药物['药品'] = x.抗菌药物 df1 = df_抗菌药物[df_抗菌药物['规则等级']==1] if x.抗菌药物 in list(df1['匹配规则'].values): return df1[df1['匹配规则']==x.抗菌药物].reset_index(drop=True).loc[0]['抗菌药物通用名'] else: df2 = df_抗菌药物[df_抗菌药物['规则等级']==2] df2['是否匹配'] = df2.apply(lambda y: y.抗菌药物通用名 if re.match(y.匹配规则, y.药品) else np.nan, axis=1) df2['匹配长度'] = df2.apply(lambda y: 0 if pd.isnull(y.是否匹配) else len( y.匹配规则 ), axis=1) if df2[~df2['是否匹配'].isnull()].shape[0]==0: df3 = df_抗菌药物[df_抗菌药物['规则等级']==3] df3['是否匹配'] = df3.apply(lambda y: y.抗菌药物通用名 if re.match(y.匹配规则, y.药品) else np.nan, axis=1) df3['匹配长度'] = df3.apply(lambda y: 0 if pd.isnull(y.是否匹配) else len( y.匹配规则 ), axis=1) if df3[~df3['是否匹配'].isnull()].shape[0]==0: df4 = df_抗菌药物[df_抗菌药物['规则等级']==4] df4['是否匹配'] = df4.apply(lambda y: y.抗菌药物通用名 if re.match(y.匹配规则, y.药品) else np.nan, axis=1) df4['匹配长度'] = df4.apply(lambda y: 0 if pd.isnull(y.是否匹配) else len( y.匹配规则 ), axis=1) if df4[~df4['是否匹配'].isnull()].shape[0]==0: return np.nan else: return df4[~df4['是否匹配'].isnull()][['抗菌药物通用名','匹配长度']].drop_duplicates().sort_values(by=['匹配长度'], ascending=False).reset_index(drop=True)['抗菌药物通用名'].loc[0]#返回正则匹配成功且匹配长度最长 else: return df3[~df3['是否匹配'].isnull()][['抗菌药物通用名','匹配长度']].drop_duplicates().sort_values(by=['匹配长度'], ascending=False).reset_index(drop=True)['抗菌药物通用名'].loc[0]#返回正则匹配成功且匹配长度最长 else: return df2[~df2['是否匹配'].isnull()][['抗菌药物通用名','匹配长度']].drop_duplicates().sort_values(by=['匹配长度'], ascending=False).reset_index(drop=True)['抗菌药物通用名'].loc[0]#返回正则匹配成功且匹配长度最长 all_antis['抗菌药物通用名'] = all_antis.apply(isanti, axis=1) return all_antis # ----------------------------------------------------------------------------------------------------- 一级图一 ---------------------------------------------------------------------------------------------------------------------- # 获取抗菌药物-菌检出-药敏一级第一张图数据 def get_first_lev_first_fig_date(engine): res_数据时间缺失及汇总 = pd.DataFrame(columns=['业务类型', 'num', 'month' ]) # 问题类别、问题数据量统计、全数据统计 bus_dic = { '给药': "select '给药' as 业务类型 ,count(1) as num ,substr(BEGINTIME,1,7) as month from ANTIBIOTICS where BEGINTIME is not null group by substr(BEGINTIME,1,7)", '菌检出': " select '菌检出' as 业务类型 , count(1) as num ,substr(REQUESTTIME,1,7) as month from BACTERIA where REQUESTTIME is not null group by substr(REQUESTTIME,1,7) ", '药敏': " select '药敏' as 业务类型 , count(1) as num ,substr(REQUESTTIME,1,7) as month from DRUGSUSCEPTIBILITY where REQUESTTIME is not null group by substr(REQUESTTIME,1,7) ", } for bus in bus_dic: res_数据时间缺失及汇总 = res_数据时间缺失及汇总.append(pd.read_sql(bus_dic[bus],con=engine)) print('抗菌药物-菌检出-药敏一级图一',bus) return res_数据时间缺失及汇总 # 更新抗菌药物-菌检出-药敏一级图一 @app.callback( Output('anti_bar_drug_first_level_first_fig','figure'), Output('anti_bar_drug_first_level_first_fig_data','data'), Input('anti_bar_drug_first_level_first_fig_data','data'), Input("db_con_url", "data"), Input("count_time", "data"), # prevent_initial_call=True ) def update_first_level_first_fig(anti_bar_drug_first_level_first_fig_data,db_con_url,count_time): if db_con_url is None : return dash.no_update else: db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] engine = create_engine(db_con_url['db']) if anti_bar_drug_first_level_first_fig_data is None: anti_bar_drug_first_level_first_fig_data = {} anti_bar_drug_first_level_first_fig = get_first_lev_first_fig_date(engine) anti_bar_drug_first_level_first_fig_data['anti_bar_drug_first_level_first_fig'] = anti_bar_drug_first_level_first_fig.to_json(orient='split', date_format='iso') anti_bar_drug_first_level_first_fig_data['hosname'] = db_con_url['hosname'] anti_bar_drug_first_level_first_fig_data['btime'] = btime anti_bar_drug_first_level_first_fig_data['etime'] = etime anti_bar_drug_first_level_first_fig_data = json.dumps(anti_bar_drug_first_level_first_fig_data) else: anti_bar_drug_first_level_first_fig_data = json.loads(anti_bar_drug_first_level_first_fig_data) if db_con_url['hosname'] != anti_bar_drug_first_level_first_fig_data['hosname']: anti_bar_drug_first_level_first_fig = get_first_lev_first_fig_date(engine) anti_bar_drug_first_level_first_fig_data['anti_bar_drug_first_level_first_fig'] = anti_bar_drug_first_level_first_fig.to_json(orient='split',date_format='iso') anti_bar_drug_first_level_first_fig_data['hosname'] = db_con_url['hosname'] anti_bar_drug_first_level_first_fig_data = json.dumps(anti_bar_drug_first_level_first_fig_data) else: anti_bar_drug_first_level_first_fig = pd.read_json(anti_bar_drug_first_level_first_fig_data['anti_bar_drug_first_level_first_fig'], orient='split') anti_bar_drug_first_level_first_fig_data = dash.no_update # anti_bar_drug_first_level_first_fig = anti_bar_drug_first_level_first_fig[(anti_bar_drug_first_level_first_fig['month']>=btime) & (anti_bar_drug_first_level_first_fig['month']<=etime)] anti_bar_drug_first_level_first_fig = anti_bar_drug_first_level_first_fig.sort_values(['month','业务类型']) fig1 = px.line(anti_bar_drug_first_level_first_fig, x='month', y='num', color='业务类型', color_discrete_sequence=px.colors.qualitative.Dark24) # 设置水平图例及位置 fig1.update_layout( margin=dict(l=20, r=20, t=20, b=20), legend=dict( orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1 )) fig1.update_yaxes(title_text="业务数据量") fig1.update_xaxes(title_text="时间") return fig1,anti_bar_drug_first_level_first_fig_data # # ----------------------------------------------------------------------------------------------------- 一级图二 ---------------------------------------------------------------------------------------------------------------------- # # 获取抗菌药物-菌检出-药敏一级第二张图数据 def get_first_lev_second_fig_date(engine,btime,etime): res_数据关键字缺失及汇总 = pd.DataFrame(columns=['业务类型', '科室', '科室名称', 'num']) bus_dic = {'8种耐药菌检出': f""" select '8种耐药菌检出' as 业务类型, t1.dept as 科室,t2.label as 科室名称,t1.num from (select dept,count(1) as num from BACTERIA where BACTERIA in ('大肠埃希菌', '鲍曼不动杆菌', '肺炎克雷伯菌', '金黄色葡萄球菌', '铜绿假单胞菌', '屎肠球菌', '粪肠球菌') and substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{etime}' and dept is not null group by dept) t1,s_departments t2 where t1.dept=t2.code(+) order by t1.num desc """, "限制级特殊级抗菌药物使用" : f"""select '限制级特殊级抗菌药物使用' as 业务类型,t1.dept as 科室,t2.label as 科室名称,t1.num from (select dept,count(1) as num from ANTIBIOTICS where ALEVEL in ('限制类', '特殊类') and substr(BEGINTIME,1,7)>='{btime}' and substr(BEGINTIME,1,7)<='{etime}' and dept is not null group by dept) t1,s_departments t2 where t1.dept=t2.code(+) order by t1.num desc """, '药敏结果为耐药': f""" select '药敏结果为耐药' as 业务类型,t1.dept as 科室,t2.label as 科室名称,t1.num from (select dept,count(1) as num from DRUGSUSCEPTIBILITY where SUSCEPTIBILITY like '%耐药%' and substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{etime}' and dept is not null group by dept) t1,s_departments t2 where t1.dept=t2.code(+) order by t1.num desc """ } for bus in bus_dic: temp = pd.read_sql(bus_dic[bus],con=engine) temp = temp[0:8] res_数据关键字缺失及汇总 = res_数据关键字缺失及汇总.append(temp) return res_数据关键字缺失及汇总 # 更新一级图二 @app.callback( Output('anti_bar_drug_first_level_second_fig','figure'), Output('anti_bar_drug_first_level_second_fig_data','data'), # Output('rank_month_choice','min'), # Output('rank_month_choice','max'), # Output('rank_month_choice','value'), # Output('rank_month_choice','marks'), Input('anti_bar_drug_first_level_second_fig_data','data'), # Input('rank_month_choice','value'), Input("db_con_url", "data"), Input("count_time", "data"), # Input('rank_month_choice','marks'), # prevent_initial_call=True ) # def update_first_level_second_fig(anti_bar_drug_first_level_second_fig_data,rank_month_choice,db_con_url,count_time,marks): def update_first_level_second_fig(anti_bar_drug_first_level_second_fig_data,db_con_url,count_time): # def unixTimeMillis(dt): # return int(time.mktime(dt.timetuple())) # # def unixToDatetime(unix): # return pd.to_datetime(unix, unit='s') # # def getMarks(start, end, Nth=100): # result = {} # for i, date in enumerate(daterange): # result[unixTimeMillis(date)] = str(date.strftime('%Y-%m')) if db_con_url is None : return dash.no_update else: db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] min = dash.no_update max = dash.no_update value = dash.no_update marks = dash.no_update if anti_bar_drug_first_level_second_fig_data is None: anti_bar_drug_first_level_second_fig_data = {} first_level_second_fig_data = get_first_lev_second_fig_date(engine,btime,etime) anti_bar_drug_first_level_second_fig_data['first_level_second_fig_data'] = first_level_second_fig_data.to_json(orient='split', date_format='iso') anti_bar_drug_first_level_second_fig_data['hosname'] = db_con_url['hosname'] anti_bar_drug_first_level_second_fig_data['btime'] = btime anti_bar_drug_first_level_second_fig_data['etime'] = etime anti_bar_drug_first_level_second_fig_data = json.dumps(anti_bar_drug_first_level_second_fig_data) # end_date = datetime(int(etime[0:4]), int(etime[5:7]), 1) # start_date = datetime(int(btime[0:4]), int(btime[5:7]), 1) # daterange = pd.date_range(start=btime+'-01', periods=((end_date.year - start_date.year) * 12 + (end_date.month - start_date.month)), freq='M') # min = unixTimeMillis(daterange.min()) # max = unixTimeMillis(daterange.max()) # value = [unixTimeMillis(daterange.min()), unixTimeMillis(daterange.max())] # marks = getMarks(daterange.min(), daterange.max()) else: anti_bar_drug_first_level_second_fig_data = json.loads(anti_bar_drug_first_level_second_fig_data) if db_con_url['hosname'] != anti_bar_drug_first_level_second_fig_data['hosname']: first_level_second_fig_data = get_first_lev_second_fig_date(engine, btime, etime) anti_bar_drug_first_level_second_fig_data['first_level_second_fig_data'] = first_level_second_fig_data.to_json(orient='split',date_format='iso') anti_bar_drug_first_level_second_fig_data['hosname'] = db_con_url['hosname'] anti_bar_drug_first_level_second_fig_data['btime'] = btime anti_bar_drug_first_level_second_fig_data['etime'] = etime anti_bar_drug_first_level_second_fig_data = json.dumps( anti_bar_drug_first_level_second_fig_data) # end_date = datetime(int(etime[0:4]), int(etime[5:7]), 1) # start_date = datetime(int(btime[0:4]), int(btime[5:7]), 1) # daterange = pd.date_range(start=btime + '-01', periods=( (end_date.year - start_date.year) * 12 + (end_date.month - start_date.month)), freq='M') # min = unixTimeMillis(daterange.min()) # max = unixTimeMillis(daterange.max()) # value = [unixTimeMillis(daterange.min()), unixTimeMillis(daterange.max())] # print(value) # marks = getMarks(daterange.min(), daterange.max()) else: if anti_bar_drug_first_level_second_fig_data['btime'] != btime or anti_bar_drug_first_level_second_fig_data['etime'] != etime: # if rank_month_choice is not None and len(rank_month_choice)>0: # print(rank_month_choice) # btime1 = time.gmtime(rank_month_choice[0]) # etime1 = time.gmtime(rank_month_choice[1]) # btime = f"{btime1.tm_year}-0{btime1.tm_mon}" if btime1.tm_mon<10 else f"{btime1.tm_year}-{btime1.tm_mon}" # etime = f"{etime1.tm_year}-0{etime1.tm_mon}" if etime1.tm_mon<10 else f"{etime1.tm_year}-{etime1.tm_mon}" # print(btime,etime) first_level_second_fig_data = get_first_lev_second_fig_date(engine, btime, etime) anti_bar_drug_first_level_second_fig_data[ 'first_level_second_fig_data'] = first_level_second_fig_data.to_json(orient='split', date_format='iso') anti_bar_drug_first_level_second_fig_data['btime'] = btime anti_bar_drug_first_level_second_fig_data['etime'] = etime anti_bar_drug_first_level_second_fig_data = json.dumps(anti_bar_drug_first_level_second_fig_data) else: first_level_second_fig_data = pd.read_json(anti_bar_drug_first_level_second_fig_data['first_level_second_fig_data'], orient='split') anti_bar_drug_first_level_second_fig_data = dash.no_update # print("一级第二张图数据：") # print(rank_month_choice) # print(marks) bar = first_level_second_fig_data[first_level_second_fig_data['业务类型']=='8种耐药菌检出'] anti = first_level_second_fig_data[first_level_second_fig_data['业务类型']=='限制级特殊级抗菌药物使用'] drug = first_level_second_fig_data[first_level_second_fig_data['业务类型']=='药敏结果为耐药'] bar = bar.sort_values(['num'], ascending=True) anti = anti.sort_values(['num'], ascending=True) drug = drug.sort_values(['num'], ascending=True) fig = make_subplots(rows=1,cols=3) fig.add_trace( go.Bar(x=anti['num'], y=anti['科室名称'], orientation='h', name='给药', marker_color=px.colors.qualitative.Dark24[0]), row=1, col=1 ) fig.add_trace( go.Bar(x=drug['num'], y=drug['科室名称'], orientation='h', name='药敏', marker_color=px.colors.qualitative.Dark24[1]), row=1, col=2, ) fig.add_trace( go.Bar(x=bar['num'],y=bar['科室名称'],orientation='h',name='菌检出', marker_color=px.colors.qualitative.Dark24[2]), row=1,col=3 ) # 设置水平图例及位置 fig.update_layout( margin=dict(l=20, r=20, t=20, b=20), legend=dict( orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1 )) return fig,anti_bar_drug_first_level_second_fig_data # return fig,anti_bar_drug_first_level_second_fig_data,min ,max ,value ,marks # # ----------------------------------------------------------------------------------------------------- 二级图一 ---------------------------------------------------------------------------------------------------------------------- # 获取抗菌药物二级第一张图数据 def get_second_lev_first_fig_date(engine,btime,etime): res_数据科室信息缺失及汇总 = pd.DataFrame(columns=['业务类型', 'num', 'month' ]) bus_dic = {'用药目的': f" select '用药目的缺失' as 业务类型,count(1) as num ,substr(BEGINTIME,1,7) as month from ANTIBIOTICS where (substr(BEGINTIME,1,7)>='{btime}' and substr(BEGINTIME,1,7)<='{etime}') group by substr(BEGINTIME,1,7) ", '药物等级': f" select '药物等级缺失' as 业务类型,count(1) as num ,substr(BEGINTIME,1,7) as month from ANTIBIOTICS t1 where (substr(t1.BEGINTIME,1,7)>='{btime}' and substr(t1.BEGINTIME,1,7)<='{etime}') group by substr(BEGINTIME,1,7) ", '医嘱开始时间大于结束时间': f" select '医嘱开始时间大于结束时间' as 业务类型,count(1) as num ,substr(BEGINTIME,1,7) as month from ANTIBIOTICS t1 where (substr(BEGINTIME,1,7)>='{btime}' and substr(BEGINTIME,1,7)<='{etime}') and BEGINTIME is not null and ENDTIME is not null and BEGINTIME>endtime group by substr(BEGINTIME,1,7) ", '医嘱时间在出入院时间之外' : f""" select '医嘱时间在出入院时间之外' as 业务类型,count(1) as num ,substr(BEGINTIME,1,7) as month from ANTIBIOTICS t1,overall t2 where ( t1.BEGINTIME is not null and t1.ENDTIME is not null and t2.in_time is not null and t2.out_time is not null) and t1.caseid = t2.caseid and (t1.BEGINTIME<t2.IN_TIME or t1.BEGINTIME > t2.OUT_TIME or t1.ENDTIME<t2.IN_TIME or t1.ENDTIME > t2.OUT_TIME ) and (substr(t1.BEGINTIME,1,7)>='{btime}' and substr(t1.BEGINTIME,1,7)<='{etime}') group by substr(BEGINTIME,1,7) """, } for bus in bus_dic: res_数据科室信息缺失及汇总 = res_数据科室信息缺失及汇总.append(pd.read_sql(bus_dic[bus],con=engine)) return res_数据科室信息缺失及汇总 # 更新二级图一 @app.callback( Output('anti_second_level_first_fig','figure'), Output('anti_second_level_first_fig_data','data'), Input('anti_second_level_first_fig_data','data'), Input("db_con_url", "data"), Input("count_time", "data"), # prevent_initial_call=True ) def update_first_level_third_fig(anti_second_level_first_fig_data,db_con_url,count_time): if db_con_url is None: return dash.no_update else: db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] if anti_second_level_first_fig_data is None: anti_second_level_first_fig = get_second_lev_first_fig_date(engine, btime, etime) anti_second_level_first_fig_data={} anti_second_level_first_fig_data['anti_second_level_first_fig'] = anti_second_level_first_fig.to_json(orient='split', date_format='iso') anti_second_level_first_fig_data['hosname'] = db_con_url['hosname'] anti_second_level_first_fig_data['btime'] = btime anti_second_level_first_fig_data['etime'] = etime anti_second_level_first_fig_data = json.dumps(anti_second_level_first_fig_data) else: anti_second_level_first_fig_data = json.loads(anti_second_level_first_fig_data) if db_con_url['hosname'] != anti_second_level_first_fig_data['hosname']: anti_second_level_first_fig = get_second_lev_first_fig_date(engine, btime, etime) anti_second_level_first_fig_data['anti_second_level_first_fig'] = anti_second_level_first_fig.to_json(orient='split',date_format='iso') anti_second_level_first_fig_data['hosname'] = db_con_url['hosname'] anti_second_level_first_fig_data['btime'] = btime anti_second_level_first_fig_data['etime'] = etime anti_second_level_first_fig_data = json.dumps(anti_second_level_first_fig_data) else: if anti_second_level_first_fig_data['btime'] != btime or anti_second_level_first_fig_data['etime'] != etime: anti_second_level_first_fig = get_second_lev_first_fig_date(engine, btime, etime) anti_second_level_first_fig_data['anti_second_level_first_fig'] = anti_second_level_first_fig.to_json(orient='split',date_format='iso') anti_second_level_first_fig_data['btime'] = btime anti_second_level_first_fig_data['etime'] = etime anti_second_level_first_fig_data = json.dumps(anti_second_level_first_fig_data) else: anti_second_level_first_fig = pd.read_json(anti_second_level_first_fig_data['anti_second_level_first_fig'], orient='split') anti_second_level_first_fig_data = dash.no_update fig_概览一级_科室映射缺失 = go.Figure() bus_opts = anti_second_level_first_fig[['业务类型']].drop_duplicates().reset_index(drop=True) # res_数据科室信息缺失及汇总 = anti_second_level_first_fig.sort_values(['month','业务类型']) print(anti_second_level_first_fig) for tem,bus in bus_opts.iterrows(): print(tem,) print(bus,) temp = anti_second_level_first_fig[anti_second_level_first_fig['业务类型']==bus['业务类型']] print(temp) temp = temp.sort_values(['month']) if temp.shape[0]>0: fig_概览一级_科室映射缺失.add_trace( go.Scatter(x=temp['month'], y=temp['num'], name=bus['业务类型'] ,marker_color=px.colors.qualitative.Dark24[tem] ) ) fig_概览一级_科室映射缺失.update_layout( margin=dict(l=20, r=20, t=20, b=20), legend=dict( orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1 ) ) fig_概览一级_科室映射缺失.update_yaxes(title_text="问题数量") fig_概览一级_科室映射缺失.update_xaxes(title_text="月份") return fig_概览一级_科室映射缺失,anti_second_level_first_fig_data # 下载二级图一明细 @app.callback( Output('anti_second_level_first_fig_date_detail', 'data'), Input('anti_second_level_first_fig_data_detail_down','n_clicks'), Input("db_con_url", "data"), Input("count_time", "data"), prevent_initial_call=True, ) def download_first_level_third_fig_data_detail(n_clicks,db_con_url,count_time): if db_con_url is None : return dash.no_update else: if n_clicks is not None and n_clicks>0: n_clicks = 0 db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] bus_dic = { '用药目的缺失': f" select * from ANTIBIOTICS where (substr(BEGINTIME,1,7)>='{btime}' and substr(BEGINTIME,1,7)<='{etime}') ", '药物等级缺失': f" select t1.* from ANTIBIOTICS t1 where (substr(t1.BEGINTIME,1,7)>='{btime}' and substr(t1.BEGINTIME,1,7)<='{etime}') ", '医嘱开始时间大于结束时间': f" select t1.* from ANTIBIOTICS t1 where (substr(BEGINTIME,1,7)>='{btime}' and substr(BEGINTIME,1,7)<='{etime}') and BEGINTIME is not null and ENDTIME is not null and BEGINTIME>endtime ", '医嘱时间在出入院时间之外': f""" select t1.* from ANTIBIOTICS t1,overall t2 where ( t1.BEGINTIME is not null and t1.ENDTIME is not null and t2.in_time is not null and t2.out_time is not null) and t1.caseid = t2.caseid and (t1.BEGINTIME<t2.IN_TIME or t1.BEGINTIME > t2.OUT_TIME or t1.ENDTIME<t2.IN_TIME or t1.ENDTIME > t2.OUT_TIME ) and (substr(t1.BEGINTIME,1,7)>='{btime}' and substr(t1.BEGINTIME,1,7)<='{etime}') group by substr(BEGINTIME,1,7) """, } output = io.BytesIO() writer = pd.ExcelWriter(output, engine='xlsxwriter') for key in bus_dic.keys(): try: temp = pd.read_sql(bus_dic[key], con=engine) if temp.shape[0] > 0: temp.to_excel(writer, sheet_name=key) except: error_df = pd.DataFrame(['明细数据获取出错'], columns=[key]) error_df.to_excel(writer, sheet_name=key) writer.save() data = output.getvalue() hosName = db_con_url['hosname'] return dcc.send_bytes(data, f'{hosName}抗菌药物问题数据明细.xlsx') else: return dash.no_update # # ----------------------------------------------------------------------------------------------------- 二级图二 ---------------------------------------------------------------------------------------------------------------------- # 获取抗菌药物二级第二张图数据 def get_second_level_second_fig_date(engine,btime,etime): res_业务逻辑问题数据汇总 = pd.read_sql(f" select ANAME as 抗菌药物,count(1) as num , substr(BEGINTIME,1,7) as 月份 from antibiotics where substr(BEGINTIME,1,7)>='{btime}' and substr(BEGINTIME,1,7)<='{etime}' group by substr(BEGINTIME,1,7),ANAME ",con=engine) return res_业务逻辑问题数据汇总 # 更新二级图 @app.callback( Output('anti_second_level_second_fig','figure'), Output('anti_second_level_second_fig_data','data'), Input('anti_second_level_second_fig_data','data'), Input("db_con_url", "data"), Input("count_time", "data"), # prevent_initial_call=True ) def update_second_level_fig(anti_second_level_second_fig_data,db_con_url,count_time): if db_con_url is None: return dash.no_update else: db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] if anti_second_level_second_fig_data is None: anti_second_level_second_fig_data = {} anti_second_level_second_fig = get_second_level_second_fig_date(engine, btime, etime) anti_second_level_second_fig_data['anti_second_level_second_fig'] = anti_second_level_second_fig.to_json(orient='split', date_format='iso') anti_second_level_second_fig_data['hosname'] = db_con_url['hosname'] anti_second_level_second_fig_data['btime'] = btime anti_second_level_second_fig_data['etime'] = etime anti_second_level_second_fig_data = json.dumps(anti_second_level_second_fig_data) else: anti_second_level_second_fig_data = json.loads(anti_second_level_second_fig_data) if db_con_url['hosname'] != anti_second_level_second_fig_data['hosname']: anti_second_level_second_fig = get_second_level_second_fig_date(engine, btime, etime) anti_second_level_second_fig_data['anti_second_level_second_fig'] = anti_second_level_second_fig.to_json(orient='split',date_format='iso') anti_second_level_second_fig_data['hosname'] = db_con_url['hosname'] anti_second_level_second_fig_data['btime'] = btime anti_second_level_second_fig_data['etime'] = etime anti_second_level_second_fig_data = json.dumps(anti_second_level_second_fig_data) else: if anti_second_level_second_fig_data['btime'] != btime or anti_second_level_second_fig_data['etime'] != etime: anti_second_level_second_fig = get_second_level_second_fig_date(engine, btime, etime) anti_second_level_second_fig_data['anti_second_level_second_fig'] = anti_second_level_second_fig.to_json(orient='split',date_format='iso') anti_second_level_second_fig_data['btime'] = btime anti_second_level_second_fig_data['etime'] = etime anti_second_level_second_fig_data = json.dumps(anti_second_level_second_fig_data) else: anti_second_level_second_fig = pd.read_json(anti_second_level_second_fig_data['anti_second_level_second_fig'], orient='split') anti_second_level_second_fig_data = dash.no_update antis_dict = discriminated_antis(anti_second_level_second_fig[['抗菌药物']].drop_duplicates()) anti_second_level_second_fig = anti_second_level_second_fig.merge(antis_dict,on='抗菌药物',how='left') anti_second_level_second_fig['抗菌药物通用名'] = np.where(anti_second_level_second_fig['抗菌药物通用名'].isnull(),anti_second_level_second_fig['抗菌药物'],anti_second_level_second_fig['抗菌药物通用名']) anti_second_level_second_fig = anti_second_level_second_fig.sort_values(['月份']) fig = px.bar(anti_second_level_second_fig, x="月份", y="num", color='抗菌药物通用名' ,color_discrete_sequence=px.colors.qualitative.Dark24) fig.update_layout( margin=dict(l=20, r=20, t=20, b=20), #title=f"{btime}--{etime}", ) fig.update_yaxes(title_text="医嘱数量", ) fig.update_xaxes(title_text="月份", ) return fig,anti_second_level_second_fig_data # ----------------------------------------------------------------------------------------------------- 二级图三 ---------------------------------------------------------------------------------------------------------------------- # 获取抗菌药物二级第三张图数据 def get_second_level_third_fig_date(engine,btime,etime): res_业务逻辑问题数据汇总 = pd.read_sql( f" select ALEVEL as 抗菌药物等级,count(1) as num , substr(BEGINTIME,1,7) as 月份 from antibiotics where substr(BEGINTIME,1,7)>='{btime}' and substr(BEGINTIME,1,7)<='{etime}' and ALEVEL is not null group by substr(BEGINTIME,1,7),ALEVEL ", con=engine) return res_业务逻辑问题数据汇总 # 三级第一张图更新 @app.callback( Output('anti_second_level_third_fig','figure'), Output('anti_second_level_third_fig_data', 'data'), Input('anti_second_level_third_fig_data', 'data'), Input("db_con_url", "data"), Input("count_time", "data"), ) def update_third_level_first_fig(anti_second_level_third_fig_data,db_con_url,count_time): if db_con_url is None: return dash.no_update else: db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] if anti_second_level_third_fig_data is None: anti_second_level_third_fig_data = {} anti_second_level_third_fig = get_second_level_third_fig_date(engine, btime, etime) anti_second_level_third_fig_data['anti_second_level_third_fig'] = anti_second_level_third_fig.to_json( orient='split', date_format='iso') anti_second_level_third_fig_data['hosname'] = db_con_url['hosname'] anti_second_level_third_fig_data['btime'] = btime anti_second_level_third_fig_data['etime'] = etime anti_second_level_third_fig_data = json.dumps(anti_second_level_third_fig_data) else: anti_second_level_third_fig_data = json.loads(anti_second_level_third_fig_data) if db_con_url['hosname'] != anti_second_level_third_fig_data['hosname']: anti_second_level_third_fig = get_second_level_third_fig_date(engine, btime, etime) anti_second_level_third_fig_data['anti_second_level_third_fig'] = anti_second_level_third_fig.to_json(orient='split', date_format='iso') anti_second_level_third_fig_data['hosname'] = db_con_url['hosname'] anti_second_level_third_fig_data['btime'] = btime anti_second_level_third_fig_data['etime'] = etime anti_second_level_third_fig_data = json.dumps(anti_second_level_third_fig_data) else: if anti_second_level_third_fig_data['btime'] != btime or anti_second_level_third_fig_data['etime'] != etime: anti_second_level_third_fig = get_second_level_third_fig_date(engine, btime, etime) anti_second_level_third_fig_data['anti_second_level_third_fig'] = anti_second_level_third_fig.to_json(orient='split', date_format='iso') anti_second_level_third_fig_data['btime'] = btime anti_second_level_third_fig_data['etime'] = etime anti_second_level_third_fig_data = json.dumps(anti_second_level_third_fig_data) else: anti_second_level_third_fig = pd.read_json( anti_second_level_third_fig_data['anti_second_level_third_fig'], orient='split') anti_second_level_third_fig_data = dash.no_update anti_second_level_third_fig = anti_second_level_third_fig.sort_values(['月份']) fig = px.bar(anti_second_level_third_fig, x="月份", y="num", color='抗菌药物等级', color_discrete_sequence=px.colors.qualitative.Dark24) fig.update_layout( margin=dict(l=30, r=30, t=30, b=30), legend=dict( orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1 ), ) fig.update_yaxes(title_text="医嘱数量", ) fig.update_xaxes(title_text="月份", ) return fig,anti_second_level_third_fig_data # # ----------------------------------------------------------------------------------------------------- 三级图一 ---------------------------------------------------------------------------------------------------------------------- # # 获取菌检出三级第一张图数据 def get_third_level_first_fig_date(engine,btime,etime): res = pd.read_sql(f"""select substr(REQUESTTIME,1,7) as month,BACTERIA as 菌,count(1) as num from BACTERIA where BACTERIA in ('大肠埃希菌', '鲍曼不动杆菌', '肺炎克雷伯菌', '金黄色葡萄球菌', '铜绿假单胞菌', '屎肠球菌', '粪肠球菌') and substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{etime}' group by BACTERIA, substr(REQUESTTIME,1,7) """,con=engine) return res # 三级第一张图更新 @app.callback( Output('bar_third_level_first_fig', 'figure'), Output('bar_third_level_first_fig_data', 'data'), Input('bar_third_level_first_fig_data', 'data'), Input("db_con_url", "data"), Input("count_time", "data"), ) def update_third_level_first_fig(bar_third_level_first_fig_data,db_con_url,count_time): if db_con_url is None: return dash.no_update else: db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] if bar_third_level_first_fig_data is None: bar_third_level_first_fig_data = {} bar_third_level_first_fig = get_third_level_first_fig_date(engine, btime, etime) bar_third_level_first_fig_data['bar_third_level_first_fig'] = bar_third_level_first_fig.to_json( orient='split', date_format='iso') bar_third_level_first_fig_data['hosname'] = db_con_url['hosname'] bar_third_level_first_fig_data['btime'] = btime bar_third_level_first_fig_data['etime'] = etime bar_third_level_first_fig_data = json.dumps(bar_third_level_first_fig_data) else: bar_third_level_first_fig_data = json.loads(bar_third_level_first_fig_data) if db_con_url['hosname'] != bar_third_level_first_fig_data['hosname']: bar_third_level_first_fig = get_third_level_first_fig_date(engine, btime, etime) bar_third_level_first_fig_data['bar_third_level_first_fig'] = bar_third_level_first_fig.to_json(orient='split', date_format='iso') bar_third_level_first_fig_data['hosname'] = db_con_url['hosname'] bar_third_level_first_fig_data['btime'] = btime bar_third_level_first_fig_data['etime'] = etime bar_third_level_first_fig_data = json.dumps(bar_third_level_first_fig_data) else: if bar_third_level_first_fig_data['btime'] != btime or bar_third_level_first_fig_data['etime'] != etime: bar_third_level_first_fig = get_third_level_first_fig_date(engine, btime, etime) bar_third_level_first_fig_data['bar_third_level_first_fig'] = bar_third_level_first_fig.to_json(orient='split', date_format='iso') bar_third_level_first_fig_data['btime'] = btime bar_third_level_first_fig_data['etime'] = etime bar_third_level_first_fig_data = json.dumps(bar_third_level_first_fig_data) else: bar_third_level_first_fig = pd.read_json( bar_third_level_first_fig_data['bar_third_level_first_fig'], orient='split') bar_third_level_first_fig_data = dash.no_update bar_third_level_first_fig = bar_third_level_first_fig.sort_values(['month' ]) print(bar_third_level_first_fig) fig1 = px.line(bar_third_level_first_fig, x='month', y= 'num' , color= '菌', color_discrete_sequence=px.colors.qualitative.Dark24) fig1.update_layout( margin=dict(l=30, r=30, t=30, b=30), legend=dict( orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1 ), ) fig1.update_yaxes(title_text= '菌检出数量', ) fig1.update_xaxes(title_text= '月份', ) return fig1,bar_third_level_first_fig_data # # ----------------------------------------------------------------------------------------------------- 三级图二 ---------------------------------------------------------------------------------------------------------------------- # # 获取菌检出三级第二张图数据 def get_third_level_second_fig_date(engine,btime,etime): res_信息缺失及汇总 = pd.DataFrame(columns=['业务类型', 'num', 'month']) bus_dic = { '菌检出类型': f" select '菌检出类型缺失' as 业务类型,count(1) as num ,substr(REQUESTTIME,1,7) as month from BACTERIA where (substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{etime}') and BTYPE is null group by substr(REQUESTTIME,1,7) ", '院内外': f" select '院内外标识缺失' as 业务类型,count(1) as num ,substr(REQUESTTIME,1,7) as month from BACTERIA t1 where (substr(t1.REQUESTTIME,1,7)>='{btime}' and substr(t1.REQUESTTIME,1,7)<='{etime}') and OUTSIDE is null group by substr(REQUESTTIME,1,7) ", '标本缺失': f" select '标本缺失' as 业务类型,count(1) as num ,substr(REQUESTTIME,1,7) as month from BACTERIA t1 where (substr(t1.REQUESTTIME,1,7)>='{btime}' and substr(t1.REQUESTTIME,1,7)<='{etime}') and SPECIMEN is null group by substr(REQUESTTIME,1,7) ", '检验项目': f" select '检验项目缺失' as 业务类型,count(1) as num ,substr(REQUESTTIME,1,7) as month from BACTERIA t1 where (substr(t1.REQUESTTIME,1,7)>='{btime}' and substr(t1.REQUESTTIME,1,7)<='{etime}') and SUBJECT is null group by substr(REQUESTTIME,1,7) ", '申请时间大于报告时间': f" select '菌检出申请时间大于报告时间' as 业务类型,count(1) as num ,substr(REQUESTTIME,1,7) as month from BACTERIA t1 where (substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{etime}') and REQUESTTIME is not null and REPORTTIME is not null and REQUESTTIME>REPORTTIME group by substr(REQUESTTIME,1,7) ", '申请时间在出入院时间之外': f""" select '菌检出申请时间在出入院时间之外' as 业务类型,count(1) as num ,substr(REQUESTTIME,1,7) as month from BACTERIA t1,overall t2 where ( t1.REQUESTTIME is not null and t2.in_time is not null and t2.out_time is not null) and t1.caseid = t2.caseid and (t1.REQUESTTIME<t2.IN_TIME or t1.REQUESTTIME > t2.OUT_TIME ) and (substr(t1.REQUESTTIME,1,7)>='{btime}' and substr(t1.REQUESTTIME,1,7)<='{etime}') group by substr(REQUESTTIME,1,7) """, } for bus in bus_dic: res_信息缺失及汇总 = res_信息缺失及汇总.append(pd.read_sql(bus_dic[bus], con=engine)) return res_信息缺失及汇总 # 三级第二张图更新 @app.callback( Output('bar_third_level_second_fig', 'figure'), Output('bar_third_level_second_fig_data', 'data'), Input('bar_third_level_second_fig_data', 'data'), Input("db_con_url", "data"), Input("count_time", "data"), ) def update_third_level_second_fig(bar_third_level_second_fig_data,db_con_url,count_time): if db_con_url is None: return dash.no_update else: db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] if bar_third_level_second_fig_data is None: bar_third_level_second_fig_data = {} bar_third_level_second_fig = get_third_level_second_fig_date(engine, btime, etime) bar_third_level_second_fig_data['bar_third_level_second_fig'] = bar_third_level_second_fig.to_json( orient='split', date_format='iso') bar_third_level_second_fig_data['hosname'] = db_con_url['hosname'] bar_third_level_second_fig_data['btime'] = btime bar_third_level_second_fig_data['etime'] = etime bar_third_level_second_fig_data = json.dumps(bar_third_level_second_fig_data) else: bar_third_level_second_fig_data = json.loads(bar_third_level_second_fig_data) if db_con_url['hosname'] != bar_third_level_second_fig_data['hosname']: bar_third_level_second_fig = get_third_level_second_fig_date(engine, btime, etime) bar_third_level_second_fig_data['bar_third_level_second_fig'] = bar_third_level_second_fig.to_json(orient='split', date_format='iso') bar_third_level_second_fig_data['hosname'] = db_con_url['hosname'] bar_third_level_second_fig_data['btime'] = btime bar_third_level_second_fig_data['etime'] = etime bar_third_level_second_fig_data = json.dumps(bar_third_level_second_fig_data) else: if bar_third_level_second_fig_data['btime'] != btime or bar_third_level_second_fig_data['etime'] != etime: bar_third_level_second_fig = get_third_level_second_fig_date(engine, btime, etime) bar_third_level_second_fig_data['bar_third_level_second_fig'] = bar_third_level_second_fig.to_json(orient='split', date_format='iso') bar_third_level_second_fig_data['btime'] = btime bar_third_level_second_fig_data['etime'] = etime bar_third_level_second_fig_data = json.dumps(bar_third_level_second_fig_data) else: bar_third_level_second_fig = pd.read_json( bar_third_level_second_fig_data['bar_third_level_second_fig'], orient='split') bar_third_level_second_fig_data = dash.no_update bar_third_level_second_fig = bar_third_level_second_fig.sort_values(['month' ]) fig1 = px.line(bar_third_level_second_fig, x='month', y= 'num' , color= '业务类型', color_discrete_sequence=px.colors.qualitative.Dark24) fig1.update_layout( margin=dict(l=30, r=30, t=30, b=30), legend=dict( orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1 ), ) fig1.update_yaxes(title_text= '数据缺失数量', ) fig1.update_xaxes(title_text= '月份', ) return fig1,bar_third_level_second_fig_data # 下载三级图二明细 @app.callback( Output('bar_third_level_second_fig_data_detail', 'data'), Input('bar_third_level_second_fig_data_detail_down','n_clicks'), Input("db_con_url", "data"), Input("count_time", "data"), prevent_initial_call=True, ) def download_first_level_third_fig_data_detail(n_clicks,db_con_url,count_time): if db_con_url is None : return dash.no_update else: if n_clicks is not None and n_clicks>0: n_clicks = 0 db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] bus_dic = { '菌检出类型缺失': f" select * from BACTERIA where (substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{etime}') and BTYPE is null ", '院内外标识缺失': f" select t1.* from BACTERIA t1 where (substr(t1.REQUESTTIME,1,7)>='{btime}' and substr(t1.REQUESTTIME,1,7)<='{etime}') and OUTSIDE is null ", '标本缺失': f" select t1.* from BACTERIA t1 where (substr(t1.REQUESTTIME,1,7)>='{btime}' and substr(t1.REQUESTTIME,1,7)<='{etime}') and SPECIMEN is null ", '检验项目缺失': f" select t1.* from BACTERIA t1 where (substr(t1.REQUESTTIME,1,7)>='{btime}' and substr(t1.REQUESTTIME,1,7)<='{etime}') and SUBJECT is null ", '申请时间大于报告时间': f" select t1.* from BACTERIA t1 where (substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{etime}') and REQUESTTIME is not null and REPORTTIME is not null and REQUESTTIME>REPORTTIME", '申请时间在出入院时间之外': f""" select t1.* from BACTERIA t1,overall t2 where ( t1.REQUESTTIME is not null and t2.in_time is not null and t2.out_time is not null) and t1.caseid = t2.caseid and (t1.REQUESTTIME<t2.IN_TIME or t1.REQUESTTIME > t2.OUT_TIME ) and (substr(t1.REQUESTTIME,1,7)>='{btime}' and substr(t1.REQUESTTIME,1,7)<='{etime}') """, } output = io.BytesIO() writer = pd.ExcelWriter(output, engine='xlsxwriter') for key in bus_dic.keys(): try: temp = pd.read_sql(bus_dic[key], con=engine) if temp.shape[0] > 0: temp.to_excel(writer, sheet_name=key) except: error_df = pd.DataFrame(['明细数据获取出错'], columns=[key]) error_df.to_excel(writer, sheet_name=key) writer.save() data = output.getvalue() hosName = db_con_url['hosname'] return dcc.send_bytes(data, f'{hosName}菌检出问题数据明细.xlsx') else: return dash.no_update # # ----------------------------------------------------------------------------------------------------- 四级图一 ---------------------------------------------------------------------------------------------------------------------- # # 获取药敏四级第一张图数据 def get_fourth_level_first_fig_date(engine,btime,etime): res_信息缺失及汇总 = pd.DataFrame(columns=['业务类型', 'num', 'month']) bus_dic = { '药敏结果': f" select '药敏结果缺失' as 业务类型,count(1) as num ,substr(REQUESTTIME,1,7) as month from DRUGSUSCEPTIBILITY where (substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{etime}') and SUSCEPTIBILITY is null group by substr(REQUESTTIME,1,7) ", '标本缺失': f" select '标本缺失' as 业务类型,count(1) as num ,substr(REQUESTTIME,1,7) as month from DRUGSUSCEPTIBILITY t1 where (substr(t1.REQUESTTIME,1,7)>='{btime}' and substr(t1.REQUESTTIME,1,7)<='{etime}') and SPECIMEN is null group by substr(REQUESTTIME,1,7) ", '申请时间大于报告时间': f" select '药敏申请时间大于报告时间' as 业务类型,count(1) as num ,substr(REQUESTTIME,1,7) as month from DRUGSUSCEPTIBILITY t1 where (substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{etime}') and REQUESTTIME is not null and REPORTTIME is not null and REQUESTTIME>REPORTTIME group by substr(REQUESTTIME,1,7) ", '申请时间在出入院时间之外': f""" select '药敏申请时间在出入院时间之外' as 业务类型,count(1) as num ,substr(REQUESTTIME,1,7) as month from DRUGSUSCEPTIBILITY t1,overall t2 where ( t1.REQUESTTIME is not null and t2.in_time is not null and t2.out_time is not null) and t1.caseid = t2.caseid and (t1.REQUESTTIME<t2.IN_TIME or t1.REQUESTTIME > t2.OUT_TIME ) and (substr(t1.REQUESTTIME,1,7)>='{btime}' and substr(t1.REQUESTTIME,1,7)<='{etime}') group by substr(REQUESTTIME,1,7) """, } for bus in bus_dic: res_信息缺失及汇总 = res_信息缺失及汇总.append(pd.read_sql(bus_dic[bus], con=engine)) return res_信息缺失及汇总 # 四级第一张图更新 @app.callback( Output('drug_fourth_level_first_fig', 'figure'), Output('drug_fourth_level_first_fig_data', 'data'), Input('drug_fourth_level_first_fig_data', 'data'), Input("db_con_url", "data"), Input("count_time", "data"), ) def update_third_level_second_fig(drug_fourth_level_first_fig_data,db_con_url,count_time): if db_con_url is None: return dash.no_update else: db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] if drug_fourth_level_first_fig_data is None: drug_fourth_level_first_fig_data = {} drug_fourth_level_first_fig = get_fourth_level_first_fig_date(engine, btime, etime) drug_fourth_level_first_fig_data['drug_fourth_level_first_fig'] = drug_fourth_level_first_fig.to_json( orient='split', date_format='iso') drug_fourth_level_first_fig_data['hosname'] = db_con_url['hosname'] drug_fourth_level_first_fig_data['btime'] = btime drug_fourth_level_first_fig_data['etime'] = etime drug_fourth_level_first_fig_data = json.dumps(drug_fourth_level_first_fig_data) else: drug_fourth_level_first_fig_data = json.loads(drug_fourth_level_first_fig_data) if db_con_url['hosname'] != drug_fourth_level_first_fig_data['hosname']: drug_fourth_level_first_fig = get_fourth_level_first_fig_date(engine, btime, etime) drug_fourth_level_first_fig_data['drug_fourth_level_first_fig'] = drug_fourth_level_first_fig.to_json(orient='split', date_format='iso') drug_fourth_level_first_fig_data['hosname'] = db_con_url['hosname'] drug_fourth_level_first_fig_data['btime'] = btime drug_fourth_level_first_fig_data['etime'] = etime drug_fourth_level_first_fig_data = json.dumps(drug_fourth_level_first_fig_data) else: if drug_fourth_level_first_fig_data['btime'] != btime or drug_fourth_level_first_fig_data['etime'] != etime: drug_fourth_level_first_fig = get_fourth_level_first_fig_date(engine, btime, etime) drug_fourth_level_first_fig_data['drug_fourth_level_first_fig'] = drug_fourth_level_first_fig.to_json(orient='split', date_format='iso') drug_fourth_level_first_fig_data['btime'] = btime drug_fourth_level_first_fig_data['etime'] = etime drug_fourth_level_first_fig_data = json.dumps(drug_fourth_level_first_fig_data) else: drug_fourth_level_first_fig = pd.read_json( drug_fourth_level_first_fig_data['drug_fourth_level_first_fig'], orient='split') drug_fourth_level_first_fig_data = dash.no_update drug_fourth_level_first_fig = drug_fourth_level_first_fig.sort_values(['month' ]) fig1 = px.line(drug_fourth_level_first_fig, x='month', y= 'num' , color= '业务类型', color_discrete_sequence=px.colors.qualitative.Dark24) fig1.update_layout( margin=dict(l=30, r=30, t=30, b=30), legend=dict( orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1 ), ) fig1.update_yaxes(title_text= '数据缺失数量', ) fig1.update_xaxes(title_text= '月份', ) return fig1,drug_fourth_level_first_fig_data # 下载四级图一明细 @app.callback( Output('drug_fourth_level_first_fig_data_detail', 'data'), Input('drug_fourth_level_first_fig_data_detail_down','n_clicks'), Input("db_con_url", "data"), Input("count_time", "data"), prevent_initial_call=True, ) def download_first_level_third_fig_data_detail(n_clicks,db_con_url,count_time): if db_con_url is None : return dash.no_update else: if n_clicks is not None and n_clicks>0: n_clicks = 0 db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] bus_dic = { '药敏结果缺失': f" select * from DRUGSUSCEPTIBILITY where (substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{etime}') and SUSCEPTIBILITY is null ", '标本缺失': f" select t1.* from DRUGSUSCEPTIBILITY t1 where (substr(t1.REQUESTTIME,1,7)>='{btime}' and substr(t1.REQUESTTIME,1,7)<='{etime}') and SPECIMEN is null ", '申请时间大于报告时间': f" select t1.* from DRUGSUSCEPTIBILITY t1 where (substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{etime}') and REQUESTTIME is not null and REPORTTIME is not null and REQUESTTIME>REPORTTIME ", '申请时间在出入院时间之外': f""" select t1.* from DRUGSUSCEPTIBILITY t1,overall t2 where ( t1.REQUESTTIME is not null and t2.in_time is not null and t2.out_time is not null) and t1.caseid = t2.caseid and (t1.REQUESTTIME<t2.IN_TIME or t1.REQUESTTIME > t2.OUT_TIME ) and (substr(t1.REQUESTTIME,1,7)>='{btime}' and substr(t1.REQUESTTIME,1,7)<='{etime}') """, } output = io.BytesIO() writer = pd.ExcelWriter(output, engine='xlsxwriter') for key in bus_dic.keys(): try: temp = pd.read_sql(bus_dic[key], con=engine) if temp.shape[0] > 0: temp.to_excel(writer, sheet_name=key) except: error_df = pd.DataFrame(['明细数据获取出错'], columns=[key]) error_df.to_excel(writer, sheet_name=key) writer.save() data = output.getvalue() hosName = db_con_url['hosname'] return dcc.send_bytes(data, f'{hosName}药敏问题数据明细.xlsx') else: return dash.no_update # # ----------------------------------------------------------------------------------------------------- 四级图二 ---------------------------------------------------------------------------------------------------------------------- # # 获取药敏四级第二张图数据 def get_fourth_level_second_fig_date(engine,btime,etime): res = pd.read_sql(f"""select count(1) as num,substr(REQUESTTIME,1,7) as month from ( select * from bacteria where (caseid,testno) not in (select caseid,testno from drugsusceptibility) and bacteria !='无菌' and bacteria not like '%酵母%' and bacteria not like '%念珠%' and bacteria not like '%真菌%' ) t1 where substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{btime}' group by substr(REQUESTTIME,1,7) """,con=engine) return res # 四级第二张图更新 @app.callback( Output('drug_fourth_level_second_fig', 'figure'), Output('drug_fourth_level_second_fig_data', 'data'), Input('drug_fourth_level_second_fig_data', 'data'), Input("db_con_url", "data"), Input("count_time", "data"), ) def update_third_level_second_fig(drug_fourth_level_second_fig_data,db_con_url,count_time): if db_con_url is None: return dash.no_update else: db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] if drug_fourth_level_second_fig_data is None: drug_fourth_level_second_fig_data = {} drug_fourth_level_second_fig = get_fourth_level_first_fig_date(engine, btime, etime) drug_fourth_level_second_fig_data['drug_fourth_level_second_fig'] = drug_fourth_level_second_fig.to_json( orient='split', date_format='iso') drug_fourth_level_second_fig_data['hosname'] = db_con_url['hosname'] drug_fourth_level_second_fig_data['btime'] = btime drug_fourth_level_second_fig_data['etime'] = etime drug_fourth_level_second_fig_data = json.dumps(drug_fourth_level_second_fig_data) else: drug_fourth_level_second_fig_data = json.loads(drug_fourth_level_second_fig_data) if db_con_url['hosname'] != drug_fourth_level_second_fig_data['hosname']: drug_fourth_level_second_fig = get_fourth_level_first_fig_date(engine, btime, etime) drug_fourth_level_second_fig_data['drug_fourth_level_second_fig'] = drug_fourth_level_second_fig.to_json(orient='split', date_format='iso') drug_fourth_level_second_fig_data['hosname'] = db_con_url['hosname'] drug_fourth_level_second_fig_data['btime'] = btime drug_fourth_level_second_fig_data['etime'] = etime drug_fourth_level_second_fig_data = json.dumps(drug_fourth_level_second_fig_data) else: if drug_fourth_level_second_fig_data['btime'] != btime or drug_fourth_level_second_fig_data['etime'] != etime: drug_fourth_level_second_fig = get_fourth_level_first_fig_date(engine, btime, etime) drug_fourth_level_second_fig_data['drug_fourth_level_second_fig'] = drug_fourth_level_second_fig.to_json(orient='split', date_format='iso') drug_fourth_level_second_fig_data['btime'] = btime drug_fourth_level_second_fig_data['etime'] = etime drug_fourth_level_second_fig_data = json.dumps(drug_fourth_level_second_fig_data) else: drug_fourth_level_second_fig = pd.read_json( drug_fourth_level_second_fig_data['drug_fourth_level_second_fig'], orient='split') drug_fourth_level_second_fig_data = dash.no_update drug_fourth_level_second_fig = drug_fourth_level_second_fig.sort_values(['month']) fig1 = px.line(drug_fourth_level_second_fig, x='month', y= 'num' , color_discrete_sequence=px.colors.qualitative.Dark24) fig1.update_layout( margin=dict(l=30, r=30, t=30, b=30), legend=dict( orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1 ), ) fig1.update_yaxes(title_text= '有菌检出无药敏数据量', ) fig1.update_xaxes(title_text= '月份', ) return fig1,drug_fourth_level_second_fig_data # 下载四级图二明细 @app.callback( Output('drug_fourth_level_second_fig_data_detail', 'data'), Input('drug_fourth_level_second_fig_data_detail_down','n_clicks'), Input("db_con_url", "data"), Input("count_time", "data"), prevent_initial_call=True, ) def download_first_level_third_fig_data_detail(n_clicks,db_con_url,count_time): if db_con_url is None : return dash.no_update else: if n_clicks is not None and n_clicks>0: n_clicks = 0 db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] bus_dic = { '有菌检出结果无药敏结果数据': f""" select t1.* from ( select * from bacteria where (caseid,testno) not in (select caseid,testno from drugsusceptibility) and bacteria !='无菌' and bacteria not like '%酵母%' and bacteria not like '%念珠%' and bacteria not like '%真菌%' ) t1 where substr(REQUESTTIME,1,7)>='{btime}' and substr(REQUESTTIME,1,7)<='{etime}' """, } output = io.BytesIO() writer = pd.ExcelWriter(output, engine='xlsxwriter') for key in bus_dic.keys(): try: temp = pd.read_sql(bus_dic[key], con=engine) if temp.shape[0] > 0: temp.to_excel(writer, sheet_name=key) except: error_df = pd.DataFrame(['明细数据获取出错'], columns=[key]) error_df.to_excel(writer, sheet_name=key) writer.save() data = output.getvalue() hosName = db_con_url['hosname'] return dcc.send_bytes(data, f'{hosName}有菌检出结果无药敏结果数据明细.xlsx') else: return dash.no_update # # # ----------------------------------------------------------------------------------------------------- 全部下载 ---------------------------------------------------------------------------------------------------------------------- # 页面数据统计结果下载 @app.callback( Output("down-anti-bar-drug", "data"), Input("anti-all-count-data-down", "n_clicks"), Input("anti_bar_drug_first_level_first_fig_data", "data"), Input("anti_bar_drug_first_level_second_fig_data", "data"), Input("anti_second_level_first_fig_data", "data"), Input("anti_second_level_second_fig_data", "data"), Input("anti_second_level_third_fig_data", "data"), Input("bar_third_level_first_fig_data", "data"), Input("bar_third_level_second_fig_data", "data"), Input("drug_fourth_level_first_fig_data", "data"), Input("drug_fourth_level_second_fig_data", "data"), Input("db_con_url", "data"), Input("count_time", "data"), prevent_initial_call=True, ) def get_all_count_data(n_clicks, anti_bar_drug_first_level_first_fig_data, anti_bar_drug_first_level_second_fig_data, anti_second_level_first_fig_data, anti_second_level_second_fig_data, anti_second_level_third_fig_data, bar_third_level_first_fig_data, bar_third_level_second_fig_data, drug_fourth_level_first_fig_data, drug_fourth_level_second_fig_data, db_con_url,count_time): if db_con_url is None : return dash.no_update else: if n_clicks is not None and n_clicks>0: n_clicks = 0 db_con_url = json.loads(db_con_url) count_time = json.loads(count_time) engine = create_engine(db_con_url['db']) hosName = db_con_url['hosname'] btime = count_time['btime'][0:7] etime = count_time['etime'][0:7] now_time = str(datetime.now())[0:19].replace(' ', '_').replace(':', '_') if anti_bar_drug_first_level_first_fig_data is not None and anti_bar_drug_first_level_second_fig_data is not None and anti_second_level_first_fig_data is not None and \ anti_second_level_second_fig_data is not None and anti_second_level_third_fig_data is not None and bar_third_level_first_fig_data is not None and \ bar_third_level_second_fig_data is not None and drug_fourth_level_first_fig_data is not None and drug_fourth_level_second_fig_data is not None : anti_bar_drug_first_level_first_fig_data = json.loads(anti_bar_drug_first_level_first_fig_data ) anti_bar_drug_first_level_second_fig_data = json.loads(anti_bar_drug_first_level_second_fig_data ) anti_second_level_first_fig_data = json.loads(anti_second_level_first_fig_data ) anti_second_level_second_fig_data = json.loads(anti_second_level_second_fig_data ) anti_second_level_third_fig_data = json.loads(anti_second_level_third_fig_data ) bar_third_level_first_fig_data = json.loads(bar_third_level_first_fig_data ) bar_third_level_second_fig_data = json.loads(bar_third_level_second_fig_data ) drug_fourth_level_first_fig_data = json.loads(drug_fourth_level_first_fig_data ) drug_fourth_level_second_fig_data = json.loads(drug_fourth_level_second_fig_data ) if anti_bar_drug_first_level_first_fig_data['hosname'] == hosName and anti_bar_drug_first_level_first_fig_data['btime'] == btime and anti_bar_drug_first_level_first_fig_data['etime'] == etime and \ anti_bar_drug_first_level_second_fig_data['hosname'] == hosName and anti_bar_drug_first_level_second_fig_data['btime'] == btime and anti_bar_drug_first_level_second_fig_data['etime'] == etime and \ anti_second_level_first_fig_data['hosname'] == hosName and anti_second_level_first_fig_data['btime'] == btime and anti_second_level_first_fig_data['etime'] == etime and \ anti_second_level_second_fig_data['hosname'] == hosName and anti_second_level_second_fig_data['btime'] == btime and anti_second_level_second_fig_data['etime'] == etime and \ anti_second_level_third_fig_data['hosname'] == hosName and anti_second_level_third_fig_data['btime'] == btime and anti_second_level_third_fig_data['etime'] == etime and \ bar_third_level_first_fig_data['hosname'] == hosName and bar_third_level_first_fig_data['btime'] == btime and bar_third_level_first_fig_data['etime'] == etime and \ bar_third_level_second_fig_data['hosname'] == hosName and bar_third_level_second_fig_data['btime'] == btime and bar_third_level_second_fig_data['etime'] == etime and \ drug_fourth_level_first_fig_data['hosname'] == hosName and drug_fourth_level_first_fig_data['btime'] == btime and drug_fourth_level_first_fig_data['etime'] == etime and \ drug_fourth_level_second_fig_data['hosname'] == hosName and drug_fourth_level_second_fig_data['btime'] == btime and drug_fourth_level_second_fig_data['etime'] == etime and \ anti_second_level_second_fig_data['hosname'] == hosName and anti_second_level_second_fig_data['btime'] == btime and anti_second_level_second_fig_data['etime'] == etime : anti_bar_drug_first_level_first_fig = pd.read_json(anti_bar_drug_first_level_first_fig_data['anti_bar_drug_first_level_first_fig'], orient='split') anti_bar_drug_first_level_first_fig = anti_bar_drug_first_level_first_fig[(anti_bar_drug_first_level_first_fig['month'] >= btime) & (anti_bar_drug_first_level_first_fig['month'] <= etime)] anti_bar_drug_first_level_second_fig = pd.read_json( anti_bar_drug_first_level_second_fig_data['first_level_second_fig_data'], orient='split') anti_second_level_first_fig = pd.read_json( anti_second_level_first_fig_data['anti_second_level_first_fig'], orient='split') anti_second_level_second_fig = pd.read_json( anti_second_level_second_fig_data['anti_second_level_second_fig'], orient='split') antis_dict = discriminated_antis(anti_second_level_second_fig[['抗菌药物']].drop_duplicates()) anti_second_level_second_fig = anti_second_level_second_fig.merge(antis_dict, on='抗菌药物', how='left') anti_second_level_second_fig['抗菌药物通用名'] = np.where(anti_second_level_second_fig['抗菌药物通用名'].isnull(), anti_second_level_second_fig['抗菌药物'], anti_second_level_second_fig['抗菌药物通用名']) anti_second_level_third_fig = pd.read_json( anti_second_level_third_fig_data['anti_second_level_third_fig'], orient='split') bar_third_level_first_fig = pd.read_json( bar_third_level_first_fig_data['bar_third_level_first_fig'], orient='split') bar_third_level_second_fig = pd.read_json( bar_third_level_second_fig_data['bar_third_level_second_fig'], orient='split') drug_fourth_level_first_fig = pd.read_json( drug_fourth_level_first_fig_data['drug_fourth_level_first_fig'], orient='split') drug_fourth_level_second_fig = pd.read_json( drug_fourth_level_second_fig_data['drug_fourth_level_second_fig'], orient='split') output = io.BytesIO() writer = pd.ExcelWriter(output, engine='xlsxwriter') anti_bar_drug_first_level_first_fig.to_excel(writer, sheet_name='抗菌药物_菌检出_药敏每月业务数据量',index=False) anti_bar_drug_first_level_second_fig.to_excel(writer, sheet_name='抗菌药物_菌检出_药敏业务数据量科室排行',index=False) anti_second_level_first_fig.to_excel(writer, sheet_name='抗菌药物问题数据每月分布',index=False) anti_second_level_second_fig.to_excel(writer, sheet_name='抗菌药物使用比例每月分布',index=False) anti_second_level_third_fig.to_excel(writer, sheet_name='抗菌药物等级使用比例每月分布', index=False) bar_third_level_first_fig.to_excel(writer, sheet_name='八种重点菌检出量每月分布', index=False) bar_third_level_second_fig.to_excel(writer, sheet_name='菌检出问题数据每月分布', index=False) drug_fourth_level_first_fig.to_excel(writer, sheet_name='药敏问题数据每月分布', index=False) drug_fourth_level_second_fig.to_excel(writer, sheet_name='菌检出无药敏数据每月分布', index=False) writer.save() data = output.getvalue() hosName = db_con_url['hosname'] return dcc.send_bytes(data, f'{hosName}_{now_time}抗菌药物_菌检出_药敏.xlsx') else: return dash.no_update else: return dash.no_update else: return dash.no_update

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null

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null

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6

d2b513445b58e5d332735b3dcf33f366cf53bca0

40

py

Python

brainframe_qt/ui/dialogs/license_dialog/widgets/brainframe_license/license_terms/__init__.py

aotuai/brainframe-qt

082cfd0694e569122ff7c63e56dd0ec4b62d5bac

[ "BSD-3-Clause" ]

17

2021-02-11T18:19:22.000Z

2022-02-08T06:12:50.000Z

brainframe_qt/ui/dialogs/license_dialog/widgets/brainframe_license/license_terms/__init__.py

aotuai/brainframe-qt

082cfd0694e569122ff7c63e56dd0ec4b62d5bac

[ "BSD-3-Clause" ]

80

2021-02-11T08:27:31.000Z

2021-10-13T21:33:22.000Z

brainframe_qt/ui/dialogs/license_dialog/widgets/brainframe_license/license_terms/__init__.py

aotuai/brainframe-qt

082cfd0694e569122ff7c63e56dd0ec4b62d5bac

[ "BSD-3-Clause" ]

5

2021-02-12T09:51:34.000Z

2022-02-08T09:25:15.000Z

from .license_terms import LicenseTerms

20

39

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40

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40

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1

0

1

0

6

d2c916d3763d82d7ccd264e658243d34602a5549

64

py

Python

Python-Advanced/modules/ascii_art.py

Xamaneone/SoftUni-Intro

985fe3249cd2adf021c2003372e840219811d989

[ "MIT" ]

null

Python-Advanced/modules/ascii_art.py

Xamaneone/SoftUni-Intro

985fe3249cd2adf021c2003372e840219811d989

[ "MIT" ]

null

Python-Advanced/modules/ascii_art.py

Xamaneone/SoftUni-Intro

985fe3249cd2adf021c2003372e840219811d989

[ "MIT" ]

null

from pyfiglet import figlet_format print(figlet_format(input()))

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1

0

1

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1

0

6

d2f776da7fcbef6008fab74c66010137456ce30e

1,413

py

Python

tests/unit_test.py

dljessup/dozenal-calendar

3e9f057f44325864ef805f6cd2811fa8a865c348

[ "MIT" ]

null

tests/unit_test.py

dljessup/dozenal-calendar

3e9f057f44325864ef805f6cd2811fa8a865c348

[ "MIT" ]

null

tests/unit_test.py

dljessup/dozenal-calendar

3e9f057f44325864ef805f6cd2811fa8a865c348

[ "MIT" ]

null

import pytest import dozenal def test_dozenal_digit_decimals(): assert dozenal.dozenal_digit(0) == '0' assert dozenal.dozenal_digit(1) == '1' assert dozenal.dozenal_digit(2) == '2' assert dozenal.dozenal_digit(3) == '3' assert dozenal.dozenal_digit(4) == '4' assert dozenal.dozenal_digit(5) == '5' assert dozenal.dozenal_digit(6) == '6' assert dozenal.dozenal_digit(7) == '7' assert dozenal.dozenal_digit(8) == '8' assert dozenal.dozenal_digit(9) == '9' def test_dozenal_digit_dek(): assert dozenal.dozenal_digit(10) == 'ᘔ' def test_dozenal_digit_elv(): assert dozenal.dozenal_digit(11) == 'Ɛ' def test_dozenal_digit_outofrange(): with pytest.raises(ValueError): dozenal.dozenal_digit(12) def test_dozenal_digit_float(): with pytest.raises(ValueError): dozenal.dozenal_digit(3.0) def test_dozenal_digit_str(): with pytest.raises(ValueError): dozenal.dozenal_digit('9') def test_iso2doz_normal(): assert dozenal.iso2doz('2017-10-20') == '6901-9-25' def test_iso2doz_single_digit_day(): assert dozenal.iso2doz('2017-10-22') == '6901-ᘔ-00' def test_iso2doz_presolstice(): assert dozenal.iso2doz('2017-12-20') == '6901-Ɛ-25' def test_iso2doz_solstice(): assert dozenal.iso2doz('2017-12-21') == '6902-0-00' def test_iso2doz_postsolstice(): assert dozenal.iso2doz('2017-12-22') == '6902-0-01'

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null

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1

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0

6

825999d47aed4b73d6686ac604dbb08a1f8783c2

41,318

py

Python

tests/integration_tests/tests/agentless_tests/test_environments.py

cloudify-cosmo/cloudify-manager

4a3f44ceb49d449bc5ebc8766b1c7b9c174ff972

[ "Apache-2.0" ]

124

2015-01-22T22:28:37.000Z

2022-02-26T23:12:06.000Z

tests/integration_tests/tests/agentless_tests/test_environments.py

cloudify-cosmo/cloudify-manager

4a3f44ceb49d449bc5ebc8766b1c7b9c174ff972

[ "Apache-2.0" ]

345

2015-01-08T15:49:40.000Z

2022-03-29T08:33:00.000Z

tests/integration_tests/tests/agentless_tests/test_environments.py

cloudify-cosmo/cloudify-manager

4a3f44ceb49d449bc5ebc8766b1c7b9c174ff972

[ "Apache-2.0" ]

77

2015-01-07T14:04:35.000Z

2022-03-07T22:46:00.000Z

import time import pytest from integration_tests import AgentlessTestCase from integration_tests.tests.utils import get_resource as resource from cloudify.models_states import DeploymentState from cloudify_rest_client.exceptions import CloudifyClientError pytestmark = pytest.mark.group_environments @pytest.mark.usefixtures('cloudmock_plugin') @pytest.mark.usefixtures('mock_workflows_plugin') @pytest.mark.usefixtures('testmockoperations_plugin') class EnvironmentTest(AgentlessTestCase): def _deploy_main_environment(self, resource_path, blueprint_id=None, deployment_id=None): dsl_path = resource(resource_path) deployment, _ = self.deploy_application(dsl_path, blueprint_id=blueprint_id, deployment_id=deployment_id) self.client.deployments.update_labels( deployment.id, [ { 'csys-obj-type': 'Environment' }, ] ) return deployment def _assert_main_environment_after_installation(self, environment_id, deployment_status): environment = self.client.deployments.get(environment_id) # The environment itself is deployed and installed correctly self.assertEqual( environment.deployment_status, deployment_status ) def _assert_deployment_environment_attr(self, deployment, deployment_status, sub_services_status=None, sub_environments_status=None, sub_services_count=0, sub_environments_count=0): self.assertEqual( deployment.deployment_status, deployment_status ) self.assertEqual( deployment.sub_services_status, sub_services_status ) self.assertEqual( deployment.sub_environments_status, sub_environments_status ) self.assertEqual( deployment.sub_services_count, sub_services_count ) self.assertEqual( deployment.sub_environments_count, sub_environments_count ) def _verify_statuses_and_count_for_deployment(self, deployment_id, deployment_status, sub_services_status=None, sub_environments_status=None, sub_services_count=0, sub_environments_count=0): deployment = self.client.deployments.get(deployment_id) self._assert_deployment_environment_attr( deployment, deployment_status, sub_services_status, sub_environments_status, sub_services_count, sub_environments_count ) def _attach_deployment_to_parents(self, deployment_id, parents_ids, deployment_type): if not parents_ids: return parents = [] for parent_id in parents_ids: parents.append({'csys-obj-parent': parent_id}) labels = [{'csys-obj-type': deployment_type}] labels.extend(parents) self.client.deployments.update_labels(deployment_id, labels) def _deploy_deployment_to_environment(self, environment, resource_path, deployment_type, blueprint_id=None, deployment_id=None, install=False): dsl_path = resource(resource_path) if not install: deployment = self.deploy(dsl_path, blueprint_id=blueprint_id, deployment_id=deployment_id) else: deployment, _ = self.deploy_application(dsl_path) self._attach_deployment_to_parents( deployment.id, [environment.id], deployment_type ) return deployment def _deploy_environment_with_two_levels(self, main_environment): # # First environment env1 = self._deploy_deployment_to_environment( main_environment, 'dsl/simple_deployment.yaml', 'environment', install=True ) # # Second environment env2 = self._deploy_deployment_to_environment( main_environment, 'dsl/simple_deployment.yaml', 'environment', install=True ) # # Add service + environment to the env1 service1, environment1 = \ self._deploy_environment_with_service_and_environment(env1) # # Add service + environment to the env2 service2, environment2 = \ self._deploy_environment_with_service_and_environment(env2) return service1, environment1, service2, environment2 def _deploy_environment_with_three_levels(self, main_environment): _, environment11, _, environment21 = \ self._deploy_environment_with_two_levels(main_environment) service111, environment111 = \ self._deploy_environment_with_service_and_environment( environment11 ) service211, environment211 = \ self._deploy_environment_with_service_and_environment( environment21 ) return service111, environment111, service211, environment211 def _deploy_environment_with_service_and_environment(self, main_environment): service = self._deploy_deployment_to_environment( main_environment, 'dsl/simple_deployment.yaml', 'service', install=True ) environment = self._deploy_deployment_to_environment( main_environment, 'dsl/simple_deployment.yaml', 'environment', install=True ) main_environment = self.client.deployments.get(main_environment.id) self._assert_deployment_environment_attr( main_environment, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_environments_status=DeploymentState.GOOD, sub_services_count=1, sub_environments_count=1 ) return service, environment def _create_deployment_group_from_blueprint(self, resource_path, blueprint_id, group_id, group_size, labels_to_add=None, wait_on_labels_add=12): # Upload group base blueprint self.upload_blueprint_resource( resource_path, blueprint_id ) # Handle group actions self.client.deployment_groups.put( group_id, blueprint_id=blueprint_id ) self.client.deployment_groups.add_deployments( group_id, count=group_size ) # Wait till the deployment created successfully before adding any # labels in order to avoid any race condition if labels_to_add: time.sleep(wait_on_labels_add) self.client.deployment_groups.put( group_id, labels=labels_to_add, ) def _execute_workflow_on_group(self, group_id, workflow_id): execution_group = self.client.execution_groups.start( deployment_group_id=group_id, workflow_id=workflow_id ) self.wait_for_execution_to_end(execution_group, is_group=True) def test_create_deployment_with_invalid_parent_label(self): dsl_path = resource('dsl/basic.yaml') deployment = self.deploy(dsl_path) with self.assertRaises(CloudifyClientError): self._attach_deployment_to_parents( deployment.id, ['invalid_parent'], 'service' ) def test_environment_with_cyclic_dependencies(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) deployment = self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'service' ) with self.assertRaises(CloudifyClientError): self._attach_deployment_to_parents( environment.id, [deployment.id], 'environment' ) def test_environment_after_deploy_single_service(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'service' ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_services_status=DeploymentState.REQUIRE_ATTENTION, sub_services_count=1 ) def test_environment_after_deploy_multiple_services(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'service' ) self._deploy_deployment_to_environment( environment, 'dsl/empty_blueprint.yaml', 'service' ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_services_status=DeploymentState.REQUIRE_ATTENTION, sub_services_count=2 ) def test_environment_after_install_single_service(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'service', install=True ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=1 ) def test_environment_after_install_multiple_services(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'service', install=True ) self._deploy_deployment_to_environment( environment, 'dsl/empty_blueprint.yaml', 'service', install=True ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=2 ) def test_environment_after_install_single_service_with_failure(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) deployment = self._deploy_deployment_to_environment( environment, 'dsl/workflow_api.yaml', 'service', install=True ) with self.assertRaises(RuntimeError): self.execute_workflow( workflow_name='execute_operation', deployment_id=deployment.id, parameters={ 'operation': 'test.fail', 'node_ids': ['test_node'], 'operation_kwargs': {'non_recoverable': True} }, wait_for_execution=True ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_services_status=DeploymentState.REQUIRE_ATTENTION, sub_services_count=1 ) def test_environment_after_install_multiple_services_with_failure(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'service', install=True ) service2 = self._deploy_deployment_to_environment( environment, 'dsl/workflow_api.yaml', 'service', install=True ) with self.assertRaises(RuntimeError): self.execute_workflow( workflow_name='execute_operation', deployment_id=service2.id, parameters={ 'operation': 'test.fail', 'node_ids': ['test_node'], 'operation_kwargs': {'non_recoverable': True} }, wait_for_execution=True ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_services_status=DeploymentState.REQUIRE_ATTENTION, sub_services_count=2 ) def test_environment_after_deploy_single_environment(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'environment' ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_count=1 ) def test_environment_after_deploy_multiple_environments(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'environment' ) self._deploy_deployment_to_environment( environment, 'dsl/empty_blueprint.yaml', 'environment' ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_count=2 ) def test_environment_after_install_single_environment(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'environment', install=True ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.GOOD, sub_environments_status=DeploymentState.GOOD, sub_environments_count=1 ) def test_environment_after_install_multiple_environments(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'environment', install=True ) self._deploy_deployment_to_environment( environment, 'dsl/empty_blueprint.yaml', 'environment', install=True ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.GOOD, sub_environments_status=DeploymentState.GOOD, sub_environments_count=2 ) def test_environment_after_install_single_environment_with_failure(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) deployment = self._deploy_deployment_to_environment( environment, 'dsl/workflow_api.yaml', 'environment', install=True ) with self.assertRaises(RuntimeError): self.execute_workflow( workflow_name='execute_operation', deployment_id=deployment.id, parameters={ 'operation': 'test.fail', 'node_ids': ['test_node'], 'operation_kwargs': {'non_recoverable': True} }, wait_for_execution=True ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_count=1 ) def test_environment_after_install_multiple_environments_with_failure( self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'environment', install=True ) deployment = self._deploy_deployment_to_environment( environment, 'dsl/workflow_api.yaml', 'environment', install=True ) with self.assertRaises(RuntimeError): self.execute_workflow( workflow_name='execute_operation', deployment_id=deployment.id, parameters={ 'operation': 'test.fail', 'node_ids': ['test_node'], 'operation_kwargs': {'non_recoverable': True} }, wait_for_execution=True ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_count=2 ) def test_environment_after_install_service_and_environment(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'environment', install=True ) self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'service', install=True ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.GOOD, sub_environments_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=1, sub_environments_count=1 ) def test_environment_after_removing_service(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) deployment = self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'service' ) environment = self.client.deployments.get(environment.id) self._assert_deployment_environment_attr( environment, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_services_status=DeploymentState.REQUIRE_ATTENTION, sub_services_count=1 ) self.delete_deployment(deployment.id, validate=True) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.GOOD, sub_services_count=0 ) def test_environment_after_uninstall_service(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) deployment = self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'service', install=True ) environment = self.client.deployments.get(environment.id) self._assert_deployment_environment_attr( environment, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=1 ) self.execute_workflow(workflow_name='uninstall', deployment_id=deployment.id, wait_for_execution=True) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_services_status=DeploymentState.REQUIRE_ATTENTION, sub_services_count=1 ) def test_environment_after_removing_environment(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) deployment = self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'environment' ) environment = self.client.deployments.get(environment.id) self._assert_deployment_environment_attr( environment, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_count=1 ) self.delete_deployment(deployment.id, validate=True) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.GOOD, sub_environments_count=0 ) def test_environment_after_uninstall_environment(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) deployment = self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'environment', install=True ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.GOOD, sub_environments_status=DeploymentState.GOOD, sub_environments_count=1 ) self.execute_workflow(workflow_name='uninstall', deployment_id=deployment.id, wait_for_execution=True) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_count=1 ) def test_environment_after_update_workflow(self): main_environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( main_environment.id, DeploymentState.GOOD ) deployment = self._deploy_deployment_to_environment( main_environment, 'dsl/simple_deployment.yaml', 'service', install=True ) main_environment = self.client.deployments.get(main_environment.id) self._assert_deployment_environment_attr( main_environment, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=1 ) # Deploy new parent 1 environment_1 = self._deploy_main_environment( 'dsl/basic.yaml', blueprint_id='new_parent_1', deployment_id='new_parent_1' ) # Deploy new parent 2 environment_2 = self._deploy_main_environment( 'dsl/basic.yaml', blueprint_id='new_parent_2', deployment_id='new_parent_2' ) self._assert_main_environment_after_installation( environment_1.id, DeploymentState.GOOD ) self._assert_main_environment_after_installation( environment_2.id, DeploymentState.GOOD ) self.upload_blueprint_resource( 'dsl/simple_deployment_with_parents.yaml', 'updated-blueprint' ) dep_up = self.client.deployment_updates.update_with_existing_blueprint( deployment.id, blueprint_id='updated-blueprint' ) self.wait_for_execution_to_end( self.client.executions.get(dep_up.execution_id)) self._verify_statuses_and_count_for_deployment( environment_1.id, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=1 ) self._verify_statuses_and_count_for_deployment( environment_2.id, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=1 ) def test_uninstall_environment_linked_with_multiple_deployments(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_environment_with_service_and_environment(environment) with self.assertRaises(CloudifyClientError): self.execute_workflow(workflow_name='uninstall', deployment_id=environment.id) def test_stop_environment_linked_with_multiple_deployments(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_environment_with_service_and_environment(environment) with self.assertRaises(CloudifyClientError): self.execute_workflow(workflow_name='stop', deployment_id=environment.id) def test_delete_environment_linked_with_multiple_deployments(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_environment_with_service_and_environment(environment) with self.assertRaises(CloudifyClientError): self.client.deployments.delete(environment.id) def test_update_environment_linked_with_multiple_deployments(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) self._deploy_environment_with_service_and_environment(environment) self.upload_blueprint_resource( 'dsl/basic_get_secret.yaml', 'updated_basic' ) with self.assertRaises(CloudifyClientError): self.client.deployment_updates.update_with_existing_blueprint( environment.id, 'updated_basic') def test_uninstall_environment_and_parent(self): environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment.id, DeploymentState.GOOD ) deployment = self._deploy_deployment_to_environment( environment, 'dsl/simple_deployment.yaml', 'environment', install=True ) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.GOOD, sub_environments_status=DeploymentState.GOOD, sub_environments_count=1 ) self.execute_workflow(workflow_name='uninstall', deployment_id=deployment.id, wait_for_execution=True) self.delete_deployment(deployment.id, validate=True) self._verify_statuses_and_count_for_deployment( environment.id, deployment_status=DeploymentState.GOOD, sub_services_count=0 ) self.execute_workflow(workflow_name='uninstall', deployment_id=environment.id, wait_for_execution=True) self.delete_deployment(environment.id, validate=True) def test_environment_with_two_levels(self): main_environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( main_environment.id, DeploymentState.GOOD ) self._deploy_environment_with_two_levels(main_environment) self._verify_statuses_and_count_for_deployment( main_environment.id, deployment_status=DeploymentState.GOOD, sub_environments_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_environments_count=4, sub_services_count=2 ) def test_environment_with_three_levels(self): # Main parent main_environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( main_environment.id, DeploymentState.GOOD ) self._deploy_environment_with_three_levels(main_environment) self._verify_statuses_and_count_for_deployment( main_environment.id, deployment_status=DeploymentState.GOOD, sub_environments_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_environments_count=6, sub_services_count=4 ) def test_environment_with_delete_child(self): main_environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( main_environment.id, DeploymentState.GOOD ) service, environment = \ self._deploy_environment_with_service_and_environment( main_environment ) self.execute_workflow(workflow_name='uninstall', deployment_id=service.id) self.delete_deployment(service.id, validate=True) self._verify_statuses_and_count_for_deployment( main_environment.id, deployment_status=DeploymentState.GOOD, sub_environments_status=DeploymentState.GOOD, sub_environments_count=1 ) def test_environment_with_uninstall_child(self): main_environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( main_environment.id, DeploymentState.GOOD ) service, environment = \ self._deploy_environment_with_service_and_environment( main_environment ) self.execute_workflow(workflow_name='uninstall', deployment_id=service.id) self._verify_statuses_and_count_for_deployment( main_environment.id, deployment_status=DeploymentState.REQUIRE_ATTENTION, sub_services_status=DeploymentState.REQUIRE_ATTENTION, sub_environments_status=DeploymentState.GOOD, sub_services_count=1, sub_environments_count=1 ) def test_environment_after_removing_parent_label(self): main_environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( main_environment.id, DeploymentState.GOOD ) service, environment = \ self._deploy_environment_with_service_and_environment( main_environment ) self.client.deployments.update_labels(environment.id, [ { 'csys-obj-type': 'environment' } ]) self._verify_statuses_and_count_for_deployment( main_environment.id, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=1 ) def test_environment_after_conversion_to_service_type(self): main_environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( main_environment.id, DeploymentState.GOOD ) service, environment = \ self._deploy_environment_with_service_and_environment( main_environment ) self.client.deployments.update_labels(environment.id, [ { 'csys-obj-type': 'service' }, { 'csys-obj-parent': main_environment.id }, ]) self._verify_statuses_and_count_for_deployment( main_environment.id, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=2 ) def test_environment_after_conversion_to_environment_type(self): main_environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( main_environment.id, DeploymentState.GOOD ) service, environment = \ self._deploy_environment_with_service_and_environment( main_environment ) self.client.deployments.update_labels(service.id, [ { 'csys-obj-type': 'environment' }, { 'csys-obj-parent': main_environment.id }, ]) self._verify_statuses_and_count_for_deployment( main_environment.id, deployment_status=DeploymentState.GOOD, sub_environments_status=DeploymentState.GOOD, sub_environments_count=2 ) def test_environment_with_adding_single_parent_to_group(self): main_environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( main_environment.id, DeploymentState.GOOD ) self._create_deployment_group_from_blueprint( 'dsl/simple_deployment.yaml', 'grp-blueprint', 'group1', 4, labels_to_add=[{'csys-obj-parent': main_environment.id}] ) self._execute_workflow_on_group('group1', 'install') self._verify_statuses_and_count_for_deployment( main_environment.id, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=4 ) def test_environment_with_adding_multiple_parents_to_group(self): environment1 = self._deploy_main_environment('dsl/basic.yaml') environment2 = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( environment1.id, DeploymentState.GOOD ) self._assert_main_environment_after_installation( environment2.id, DeploymentState.GOOD ) self._create_deployment_group_from_blueprint( 'dsl/simple_deployment.yaml', 'grp-blueprint', 'group1', 4, labels_to_add=[{'csys-obj-parent': environment1.id}, {'csys-obj-parent': environment2.id}] ) self._execute_workflow_on_group('group1', 'install') self._verify_statuses_and_count_for_deployment( environment1.id, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=4 ) self._verify_statuses_and_count_for_deployment( environment2.id, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=4 ) def test_environment_with_removing_parent_from_group(self): main_environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( main_environment.id, DeploymentState.GOOD ) self._create_deployment_group_from_blueprint( 'dsl/simple_deployment.yaml', 'grp-blueprint', 'group1', 4, labels_to_add=[{'csys-obj-parent': main_environment.id}] ) self._execute_workflow_on_group('group1', 'install') self._verify_statuses_and_count_for_deployment( main_environment.id, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=4 ) self.client.deployment_groups.put('group1', labels=[]) main_environment = self.client.deployments.get(main_environment.id) self._assert_deployment_environment_attr( main_environment, deployment_status=DeploymentState.GOOD ) def test_environment_after_conversion_to_environment_type_for_group(self): main_environment = self._deploy_main_environment('dsl/basic.yaml') self._assert_main_environment_after_installation( main_environment.id, DeploymentState.GOOD ) self._create_deployment_group_from_blueprint( 'dsl/simple_deployment.yaml', 'grp-blueprint', 'group1', 4, labels_to_add=[{'csys-obj-parent': main_environment.id}] ) self._execute_workflow_on_group('group1', 'install') self._verify_statuses_and_count_for_deployment( main_environment.id, deployment_status=DeploymentState.GOOD, sub_services_status=DeploymentState.GOOD, sub_services_count=4 ) self.client.deployment_groups.put( 'group1', labels=[{'csys-obj-parent': main_environment.id}, {'csys-obj-type': 'environment'}], ) main_environment = self.client.deployments.get(main_environment.id) self._assert_deployment_environment_attr( main_environment, deployment_status=DeploymentState.GOOD, sub_environments_status=DeploymentState.GOOD, sub_environments_count=4 )

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826c8e2f0ae4ad200bf97536f77e8b4b0c44e489

1,458

py

Python

Ryven/packages/auto_generated/_markupbase/nodes.py

tfroehlich82/Ryven

cb57c91d13949712844a4410a9302c4a90d28dcd

[ "MIT" ]

2,872

2020-07-01T09:06:34.000Z

2022-03-31T05:52:32.000Z

Ryven/packages/auto_generated/_markupbase/nodes.py

dhf327/Ryven

a11e361528d982a9dd3c489dd536f8b05ffd56e1

[ "MIT" ]

59

2020-06-28T12:50:50.000Z

2022-03-27T19:07:54.000Z

Ryven/packages/auto_generated/_markupbase/nodes.py

dhf327/Ryven

a11e361528d982a9dd3c489dd536f8b05ffd56e1

[ "MIT" ]

339

2020-07-05T04:36:20.000Z

2022-03-24T07:25:18.000Z

from NENV import * import _markupbase class NodeBase(Node): pass class _Declname_Match_Node(NodeBase): """ Matches zero or more characters at the beginning of the string.""" title = '_declname_match' type_ = '_markupbase' init_inputs = [ NodeInputBP(label='string'), NodeInputBP(label='pos', dtype=dtypes.Data(default=0, size='s')), NodeInputBP(label='endpos', dtype=dtypes.Data(default=9223372036854775807, size='s')), ] init_outputs = [ NodeOutputBP(type_='data'), ] color = '#32DA22' def update_event(self, inp=-1): self.set_output_val(0, _markupbase._declname_match(self.input(0), self.input(1), self.input(2))) class _Declstringlit_Match_Node(NodeBase): """ Matches zero or more characters at the beginning of the string.""" title = '_declstringlit_match' type_ = '_markupbase' init_inputs = [ NodeInputBP(label='string'), NodeInputBP(label='pos', dtype=dtypes.Data(default=0, size='s')), NodeInputBP(label='endpos', dtype=dtypes.Data(default=9223372036854775807, size='s')), ] init_outputs = [ NodeOutputBP(type_='data'), ] color = '#32DA22' def update_event(self, inp=-1): self.set_output_val(0, _markupbase._declstringlit_match(self.input(0), self.input(1), self.input(2))) export_nodes( _Declname_Match_Node, _Declstringlit_Match_Node, )

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26.509091

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false

0.027778

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82cda0b356e4ed1a858022a2f59c1bf74cefa6b1

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py

Python

test_data/outputs/no_eol.py

Glutexo/reorder_python_imports

4b62e933af3a42fbff3e84e705a6133d663d132b

[ "MIT" ]

12

2021-04-05T21:01:48.000Z

2022-03-31T13:57:20.000Z

test_data/outputs/no_eol.py

Glutexo/reorder_python_imports

4b62e933af3a42fbff3e84e705a6133d663d132b

[ "MIT" ]

1

2022-03-02T01:38:47.000Z

2022-03-02T15:49:53.000Z

test_data/outputs/no_eol.py

Glutexo/reorder_python_imports

4b62e933af3a42fbff3e84e705a6133d663d132b

[ "MIT" ]

1

2020-05-21T01:52:25.000Z

import os import sys

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7d95bec888f04569f7a7376b135dbf4d5d43202f

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Python

tests/unit/forum/test_visibility.py

OneRainbowDev/django-machina

7354cc50f58dcbe49eecce7e1f019f6fff21d690

[ "BSD-3-Clause" ]

null

tests/unit/forum/test_visibility.py

OneRainbowDev/django-machina

7354cc50f58dcbe49eecce7e1f019f6fff21d690

[ "BSD-3-Clause" ]

null

tests/unit/forum/test_visibility.py

OneRainbowDev/django-machina

7354cc50f58dcbe49eecce7e1f019f6fff21d690

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import pytest from machina.core.db.models import get_model from machina.core.loading import get_class from machina.test.factories import PostFactory from machina.test.factories import UserFactory from machina.test.factories import create_category_forum from machina.test.factories import create_forum from machina.test.factories import create_topic Forum = get_model('forum', 'Forum') ForumVisibilityContentTree = get_class('forum.visibility', 'ForumVisibilityContentTree') @pytest.mark.django_db class TestForumVisibilityContentTree(object): @pytest.fixture(autouse=True) def setup(self): self.user = UserFactory.create() # Set up the following forum tree: # # top_level_cat # forum_1 # forum_2 # forum_2_child_1 # top_level_forum_1 # top_level_forum_2 # sub_cat # sub_sub_forum # top_level_forum_3 # forum_3 # forum_3_child_1 # forum_3_child_1_1 # deep_forum # last_forum # self.top_level_cat = create_category_forum() self.forum_1 = create_forum(parent=self.top_level_cat) self.forum_2 = create_forum(parent=self.top_level_cat) self.forum_2_child_1 = create_forum(parent=self.forum_2) self.top_level_forum_1 = create_forum() self.top_level_forum_2 = create_forum() self.sub_cat = create_category_forum(parent=self.top_level_forum_2) self.sub_sub_forum = create_forum(parent=self.sub_cat) self.top_level_forum_3 = create_forum() self.forum_3 = create_forum(parent=self.top_level_forum_3) self.forum_3_child_1 = create_forum(parent=self.forum_3) self.forum_3_child_1_1 = create_forum(parent=self.forum_3_child_1) self.deep_forum = create_forum(parent=self.forum_3_child_1_1) self.last_forum = create_forum() # Set up a topic and some posts self.topic_1 = create_topic(forum=self.forum_1, poster=self.user) self.post_1 = PostFactory.create(topic=self.topic_1, poster=self.user) self.topic_2 = create_topic(forum=self.forum_2, poster=self.user) self.post_2 = PostFactory.create(topic=self.topic_2, poster=self.user) self.topic_3 = create_topic(forum=self.forum_2_child_1, poster=self.user) self.post_3 = PostFactory.create(topic=self.topic_3, poster=self.user) def test_can_be_initialized_from_a_list_of_forums(self): # Run & check visibility_tree = ForumVisibilityContentTree.from_forums(Forum.objects.all()) for forum in Forum.objects.all(): assert forum in visibility_tree.forums def test_can_return_the_root_level_number(self): # Setup visibility_tree = ForumVisibilityContentTree.from_forums(Forum.objects.all()) # Run & check assert visibility_tree.root_level == 0 def test_can_return_its_top_nodes(self): # Setup visibility_tree = ForumVisibilityContentTree.from_forums(Forum.objects.all()) # Run & check assert [n.obj for n in visibility_tree.top_nodes] == [ self.top_level_cat, self.top_level_forum_1, self.top_level_forum_2, self.top_level_forum_3, self.last_forum, ] def test_can_return_its_visible_forums(self): # Setup visibility_tree = ForumVisibilityContentTree.from_forums(Forum.objects.all()) # Run & check assert [n.obj for n in visibility_tree.visible_nodes] == [ self.top_level_cat, self.forum_1, self.forum_2, self.forum_2_child_1, self.top_level_forum_1, self.top_level_forum_2, self.sub_cat, self.top_level_forum_3, self.forum_3, self.last_forum, ] assert visibility_tree.visible_forums == [ self.top_level_cat, self.forum_1, self.forum_2, self.forum_2_child_1, self.top_level_forum_1, self.top_level_forum_2, self.sub_cat, self.top_level_forum_3, self.forum_3, self.last_forum, ] @pytest.mark.django_db class TestForumVisibilityContentNode(object): @pytest.fixture(autouse=True) def setup(self): self.user = UserFactory.create() # Set up the following forum tree: # # top_level_cat # forum_1 # forum_2 # forum_2_child_1 # top_level_forum_1 # top_level_forum_2 # sub_cat # sub_sub_forum # top_level_forum_3 # forum_3 # forum_3_child_1 # forum_3_child_1_1 # deep_forum # last_forum # self.top_level_cat = create_category_forum() self.forum_1 = create_forum(parent=self.top_level_cat) self.forum_2 = create_forum(parent=self.top_level_cat) self.forum_2_child_1 = create_forum(parent=self.forum_2) self.top_level_forum_1 = create_forum() self.top_level_forum_2 = create_forum() self.sub_cat = create_category_forum(parent=self.top_level_forum_2) self.sub_sub_forum = create_forum(parent=self.sub_cat) self.top_level_forum_3 = create_forum() self.forum_3 = create_forum(parent=self.top_level_forum_3) self.forum_3_child_1 = create_forum(parent=self.forum_3) self.forum_3_child_1_1 = create_forum(parent=self.forum_3_child_1) self.deep_forum = create_forum(parent=self.forum_3_child_1_1) self.last_forum = create_forum() # Set up a topic and some posts self.topic_1 = create_topic(forum=self.forum_1, poster=self.user) self.post_1 = PostFactory.create(topic=self.topic_1, poster=self.user) self.topic_2 = create_topic(forum=self.forum_2, poster=self.user) self.post_2 = PostFactory.create(topic=self.topic_2, poster=self.user) self.topic_3 = create_topic(forum=self.forum_2_child_1, poster=self.user) self.post_3 = PostFactory.create(topic=self.topic_3, poster=self.user) def test_can_return_its_last_post_date(self): # Setup visibility_tree = ForumVisibilityContentTree.from_forums(Forum.objects.all()) # Run & check assert visibility_tree.as_dict[self.top_level_cat.id].last_post_on == self.post_3.created def test_can_return_its_next_sibiling(self): # Setup visibility_tree = ForumVisibilityContentTree.from_forums(Forum.objects.all()) # Run & check assert visibility_tree.as_dict[self.forum_1.id].next_sibling \ == visibility_tree.as_dict[self.forum_2.id] assert visibility_tree.as_dict[self.top_level_cat.id].next_sibling \ == visibility_tree.as_dict[self.top_level_forum_1.id] assert visibility_tree.as_dict[self.forum_3_child_1_1.id].next_sibling is None def test_can_return_its_previous_sibiling(self): # Setup visibility_tree = ForumVisibilityContentTree.from_forums(Forum.objects.all()) # Run & check assert visibility_tree.as_dict[self.forum_2.id].previous_sibling \ == visibility_tree.as_dict[self.forum_1.id] assert visibility_tree.as_dict[self.top_level_forum_1.id].previous_sibling \ == visibility_tree.as_dict[self.top_level_cat.id] assert visibility_tree.as_dict[self.forum_3_child_1_1.id].previous_sibling is None def test_can_return_its_post_count(self): # Setup visibility_tree = ForumVisibilityContentTree.from_forums(Forum.objects.all()) # Run & check assert visibility_tree.as_dict[self.top_level_cat.id].posts_count == 3 def test_can_return_its_topic_count(self): # Setup visibility_tree = ForumVisibilityContentTree.from_forums(Forum.objects.all()) # Run & check assert visibility_tree.as_dict[self.top_level_cat.id].topics_count == 3

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null

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null

0

6

7da7d1ebeeef921abfcf0fc669436bc8b80d347f

33

py

Python

core/internals/__init__.py

yeti-threatintel/yeti

9e8b76cd393f149c4990ead003902eac50c1766d

[ "Apache-2.0" ]

1,250

2017-03-12T16:20:47.000Z

2022-03-29T02:12:11.000Z

core/internals/__init__.py

yeti-threatintel/yeti

9e8b76cd393f149c4990ead003902eac50c1766d

[ "Apache-2.0" ]

540

2017-03-20T16:45:35.000Z

2022-03-22T16:55:02.000Z

core/internals/__init__.py

yeti-threatintel/yeti

9e8b76cd393f149c4990ead003902eac50c1766d

[ "Apache-2.0" ]

293

2017-03-20T13:59:07.000Z

2022-03-28T16:00:10.000Z

from .internals import Internals

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6

815b55a79c5b18f8a8fbad6b1a5ba72ae7e9de4d

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py

Python

app/core/tests/test_admin.py

PabloAndres2000/recipe-app-api

e4b83b60fd295b77a15f8794cb938dc41d93a805

[ "MIT" ]

null

app/core/tests/test_admin.py

PabloAndres2000/recipe-app-api

e4b83b60fd295b77a15f8794cb938dc41d93a805

[ "MIT" ]

null

app/core/tests/test_admin.py

PabloAndres2000/recipe-app-api

e4b83b60fd295b77a15f8794cb938dc41d93a805

[ "MIT" ]

null

from django.test import TestCase, Client from django.contrib.auth import get_user_model

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6

8160d063ac8f534faa60a472d5f91a364f203ff3

45

py

Python

tests/guinea-pigs/diff_toplevel_assert_error.py

Tirzono/teamcity-messages

e7f7334e2956a9e707222e4c83de9ffeb15b8ac0

[ "Apache-2.0" ]

105

2015-06-24T15:40:41.000Z

2022-02-04T10:30:34.000Z

tests/guinea-pigs/diff_toplevel_assert_error.py

Tirzono/teamcity-messages

e7f7334e2956a9e707222e4c83de9ffeb15b8ac0

[ "Apache-2.0" ]

145

2015-06-24T15:26:28.000Z

2022-03-22T20:04:19.000Z

tests/guinea-pigs/diff_toplevel_assert_error.py

Tirzono/teamcity-messages

e7f7334e2956a9e707222e4c83de9ffeb15b8ac0

[ "Apache-2.0" ]

76

2015-07-20T08:18:21.000Z

2022-03-18T20:03:53.000Z

def test_test(): assert "spam" == "eggs"

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6

81624dc1bdb4debe37b9dbdd2a5faf0f135b6ea5

143

py

Python

amos-demo-python-remake/src/screen_specs.py

astrofra/amiga-experiments

07b39cdcc581cb64711eb48caa54a4d90ca47811

[ "MIT" ]

8

2015-09-23T19:20:55.000Z

2020-06-02T22:46:30.000Z

amos-demo-python-remake/src/screen_specs.py

astrofra/amiga-experiments

07b39cdcc581cb64711eb48caa54a4d90ca47811

[ "MIT" ]

2

2020-03-29T16:14:20.000Z

2020-03-29T16:19:15.000Z

amos-demo-python-remake/src/screen_specs.py

astrofra/amiga-experiments

07b39cdcc581cb64711eb48caa54a4d90ca47811

[ "MIT" ]

3

2017-10-11T23:50:19.000Z

2018-07-21T16:11:29.000Z

demo_screen_size = [1280, 720, False] amiga_screen_size = [320, 200] def zoom_size(): return demo_screen_size[1] / amiga_screen_size[1]

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6

81718f10e334f774da57b169dcd51dc382e3a361

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py

Python

pynetbox/lib/__init__.py

funzoneq/pynetbox

d30984835b5a6264f6a8d859e1c6c43613bf2f1a

[ "Apache-2.0" ]

null

pynetbox/lib/__init__.py

funzoneq/pynetbox

d30984835b5a6264f6a8d859e1c6c43613bf2f1a

[ "Apache-2.0" ]

null

pynetbox/lib/__init__.py

funzoneq/pynetbox

d30984835b5a6264f6a8d859e1c6c43613bf2f1a

[ "Apache-2.0" ]

null

from pynetbox.lib.endpoint import Endpoint from pynetbox.lib.response import Record, IPRecord from pynetbox.lib.query import Request, RequestError

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81b384a9b604714137d9c6b3f3c0fd1864d97e24

115

py

Python

zhihu_topic/zhihu/zhihu/run.py

ayueaa/Some-Spiders

4cf085e55eab822c08d06b62099d1c235d1840ae

[ "MIT" ]

5

2021-09-08T13:18:46.000Z

2022-03-08T03:04:43.000Z

zhihu_topic/zhihu/zhihu/run.py

ayueaa/Some-Spiders

4cf085e55eab822c08d06b62099d1c235d1840ae

[ "MIT" ]

6

2021-03-19T00:38:28.000Z

2022-03-11T23:47:06.000Z

zhihu_topic/zhihu/zhihu/run.py

ayueaa/Some-Spiders

4cf085e55eab822c08d06b62099d1c235d1840ae

[ "MIT" ]

3

2020-01-09T11:41:42.000Z

2021-12-11T22:47:16.000Z

from scrapy import cmdline cmdline.execute('scrapy crawl zhihu_topic-IT -s JOB_DIR=crawls/zhihu_topic-IT'.split())

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81ced197aed5cec782da4c0f5fd9cd898ab3a71f

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py

Python

web/app/syzygy/__init__.py

aaronSchanck/SepTech

323b7db183928b43576b0f13477fccdd192fd3fa

[ "Apache-2.0" ]

1

2021-09-10T17:51:40.000Z

web/app/syzygy/__init__.py

ItsmeCurly/SepTech

323b7db183928b43576b0f13477fccdd192fd3fa

[ "Apache-2.0" ]

2

2021-04-30T15:57:12.000Z

2021-05-01T17:55:51.000Z

web/app/syzygy/__init__.py

ItsmeCurly/SepTech

323b7db183928b43576b0f13477fccdd192fd3fa

[ "Apache-2.0" ]

1

2021-09-10T17:51:10.000Z

from .users.model import User from .items.model import Item

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6

81d6ac3daad2a937b7cbc200e3e26eb2c3220cbd

18

py

Python

python_face_recognition_door_opener_raspberry_pi/__init__.py

adneovrebo/face-recognition-door-opener-raspberry-pi

cbf8079c9973be1ec69cdd0bcfbe4410073f5ef8

[ "MIT" ]

7

2019-08-03T19:52:55.000Z

2021-12-19T09:15:29.000Z

python_face_recognition_door_opener_raspberry_pi/__init__.py

adneovrebo/face-recognition-door-opener-raspberry-pi

cbf8079c9973be1ec69cdd0bcfbe4410073f5ef8

[ "MIT" ]

null

python_face_recognition_door_opener_raspberry_pi/__init__.py

adneovrebo/face-recognition-door-opener-raspberry-pi

cbf8079c9973be1ec69cdd0bcfbe4410073f5ef8

[ "MIT" ]

1

2020-03-17T09:16:36.000Z

#Ådne Øvrebø 2019

9

17

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18

4.666667

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0.666667

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null

0

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6

81d73d8c1cc6da6164fdc808779c01d7003b1ce1

33

py

Python

asyncio_throttle/__init__.py

dizballanze/asyncio-throttle

6ce2b8c591e951a5e216533456cc23cccffa278d

[ "MIT" ]

92

2017-12-19T03:00:56.000Z

2022-03-24T14:42:29.000Z

asyncio_throttle/__init__.py

dizballanze/asyncio-throttle

6ce2b8c591e951a5e216533456cc23cccffa278d

[ "MIT" ]

3

2020-04-01T14:11:45.000Z

2021-06-19T00:42:46.000Z

asyncio_throttle/__init__.py

dizballanze/asyncio-throttle

6ce2b8c591e951a5e216533456cc23cccffa278d

[ "MIT" ]

9

2018-02-21T17:20:02.000Z

2022-01-05T12:34:07.000Z

from .throttler import Throttler

16.5

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0.848485

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1

0

1

0

6

c48e2761ccf604d4174f5fe753c4b251ad87d7ec

3,739

py

Python

tests/test_remote.py

wildfish/sphinx-gitref

882b46441b5330206b68883b7f25ebb902abc8e7

[ "BSD-3-Clause" ]

5

2020-06-26T15:42:47.000Z

2022-03-19T16:31:06.000Z

tests/test_remote.py

wildfish/sphinx-gitref

882b46441b5330206b68883b7f25ebb902abc8e7

[ "BSD-3-Clause" ]

7

2020-08-11T14:27:52.000Z

2022-03-21T15:54:41.000Z

tests/test_remote.py

wildfish/sphinx-gitref

882b46441b5330206b68883b7f25ebb902abc8e7

[ "BSD-3-Clause" ]

1

2022-03-21T15:54:53.000Z

""" Test the remote definitions """ import re import pytest from sphinx_gitref.remote import Bitbucket, GitHub, GitLab, Remote, registry def test_registry_get_by_url__github_ssh__detected(): url = "git@github.com:user/repo.git" remote = registry.get_by_url(url, "branch") assert isinstance(remote, GitHub) assert remote.repo == "user/repo" assert remote.branch == "branch" def test_registry_get_by_url__github_https__detected(): url = "https://github.com/user/repo.git" remote = registry.get_by_url(url, "branch") assert isinstance(remote, GitHub) assert remote.repo == "user/repo" assert remote.branch == "branch" def test_github_url__url_without_line__correct_url(): remote = GitHub("user/repo", "branch") assert ( remote.get_url("filename.py") == "https://github.com/user/repo/blob/branch/filename.py" ) def test_github_url__url_with_line__correct_url(): remote = GitHub("user/repo", "branch") assert ( remote.get_url("filename.py", 20) == "https://github.com/user/repo/blob/branch/filename.py#L20" ) def test_registry_get_by_url__bitbucket_ssh__detected(): url = "git@bitbucket.org:user/repo.git" remote = registry.get_by_url(url, "branch") assert isinstance(remote, Bitbucket) assert remote.repo == "user/repo" assert remote.branch == "branch" def test_registry_get_by_url__bitbucket_https__detected(): url = "https://bitbucket.org/user/repo.git" remote = registry.get_by_url(url, "branch") assert isinstance(remote, Bitbucket) assert remote.repo == "user/repo" assert remote.branch == "branch" def test_bitbucket_url__url_without_line__correct_url(): remote = Bitbucket("user/repo", "branch") assert ( remote.get_url("filename.py") == "https://bitbucket.org/user/repo/src/branch/filename.py" ) def test_bitbucket_url__url_with_line__correct_url(): remote = Bitbucket("user/repo", "branch") assert ( remote.get_url("filename.py", 20) == "https://bitbucket.org/user/repo/src/branch/filename.py#lines-20" ) def test_registry_get_by_url__gitlab_ssh__detected(): url = "git@gitlab.com:user/repo.git" remote = registry.get_by_url(url, "branch") assert isinstance(remote, GitLab) assert remote.repo == "user/repo" assert remote.branch == "branch" def test_registry_get_by_url__gitlab_https__detected(): url = "https://gitlab.com/user/repo.git" remote = registry.get_by_url(url, "branch") assert isinstance(remote, GitLab) assert remote.repo == "user/repo" assert remote.branch == "branch" def test_gitlab_url__url_without_line__correct_url(): remote = GitLab("user/repo", "branch") assert ( remote.get_url("filename.py") == "https://gitlab.com/user/repo/blob/branch/filename.py" ) def test_gitlab_url__url_with_line__correct_url(): remote = GitLab("user/repo", "branch") assert ( remote.get_url("filename.py", 20) == "https://gitlab.com/user/repo/blob/branch/filename.py#L20" ) def test_registry_get_by_url__unknown__raises_error(): invalid = "https://invalid.example.com/user/repo.git" with pytest.raises(ValueError) as e: registry.get_by_url(invalid, "branch") assert str(e.value) == f"Unable to find a match for {invalid}" def test_custom_remote__get_by_url__finds(): class TestRemote(Remote): remote_match = re.compile(r"^https://test.example.com/(?P<repo>.+?).git$") url = "https://test.example.com/user/repo.git" remote = registry.get_by_url(url, "branch") assert isinstance(remote, TestRemote) assert remote.repo == "user/repo" assert remote.branch == "branch"

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null

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6

c4ccd35e0fcfdc41d7d1666c5b71a7b9beba2416

76

py

Python

mortgageinsurance/tests/__init__.py

fna/owning-a-home-api

4f0cc8257989757ec64b85628d95022db5fe2b13

[ "CC0-1.0" ]

null

mortgageinsurance/tests/__init__.py

fna/owning-a-home-api

4f0cc8257989757ec64b85628d95022db5fe2b13

[ "CC0-1.0" ]

null

mortgageinsurance/tests/__init__.py

fna/owning-a-home-api

4f0cc8257989757ec64b85628d95022db5fe2b13

[ "CC0-1.0" ]

null

from test_commands_load_mortgage_insurance import * from test_views import *

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0.092105

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null

0

1

0

1

0

1

0

6

c4ecbdccb221209935cbc3656ab86e921f059dc4

7,673

py

Python

google/ads/google_ads/v5/proto/services/account_link_service_pb2_grpc.py

arammaliachi/google-ads-python

a4fe89567bd43eb784410523a6306b5d1dd9ee67

[ "Apache-2.0" ]

1

2021-04-09T04:28:47.000Z

google/ads/google_ads/v5/proto/services/account_link_service_pb2_grpc.py

arammaliachi/google-ads-python

a4fe89567bd43eb784410523a6306b5d1dd9ee67

[ "Apache-2.0" ]

null

google/ads/google_ads/v5/proto/services/account_link_service_pb2_grpc.py

arammaliachi/google-ads-python

a4fe89567bd43eb784410523a6306b5d1dd9ee67

[ "Apache-2.0" ]

null

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from google.ads.google_ads.v5.proto.resources import account_link_pb2 as google_dot_ads_dot_googleads__v5_dot_proto_dot_resources_dot_account__link__pb2 from google.ads.google_ads.v5.proto.services import account_link_service_pb2 as google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2 class AccountLinkServiceStub(object): """This service allows management of links between Google Ads accounts and other accounts. """ def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.GetAccountLink = channel.unary_unary( '/google.ads.googleads.v5.services.AccountLinkService/GetAccountLink', request_serializer=google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.GetAccountLinkRequest.SerializeToString, response_deserializer=google_dot_ads_dot_googleads__v5_dot_proto_dot_resources_dot_account__link__pb2.AccountLink.FromString, ) self.CreateAccountLink = channel.unary_unary( '/google.ads.googleads.v5.services.AccountLinkService/CreateAccountLink', request_serializer=google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.CreateAccountLinkRequest.SerializeToString, response_deserializer=google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.CreateAccountLinkResponse.FromString, ) self.MutateAccountLink = channel.unary_unary( '/google.ads.googleads.v5.services.AccountLinkService/MutateAccountLink', request_serializer=google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.MutateAccountLinkRequest.SerializeToString, response_deserializer=google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.MutateAccountLinkResponse.FromString, ) class AccountLinkServiceServicer(object): """This service allows management of links between Google Ads accounts and other accounts. """ def GetAccountLink(self, request, context): """Returns the account link in full detail. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def CreateAccountLink(self, request, context): """Creates an account link. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def MutateAccountLink(self, request, context): """Creates or removes an account link. From V5, create is not supported through AccountLinkService.MutateAccountLink. Please use AccountLinkService.CreateAccountLink instead. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_AccountLinkServiceServicer_to_server(servicer, server): rpc_method_handlers = { 'GetAccountLink': grpc.unary_unary_rpc_method_handler( servicer.GetAccountLink, request_deserializer=google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.GetAccountLinkRequest.FromString, response_serializer=google_dot_ads_dot_googleads__v5_dot_proto_dot_resources_dot_account__link__pb2.AccountLink.SerializeToString, ), 'CreateAccountLink': grpc.unary_unary_rpc_method_handler( servicer.CreateAccountLink, request_deserializer=google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.CreateAccountLinkRequest.FromString, response_serializer=google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.CreateAccountLinkResponse.SerializeToString, ), 'MutateAccountLink': grpc.unary_unary_rpc_method_handler( servicer.MutateAccountLink, request_deserializer=google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.MutateAccountLinkRequest.FromString, response_serializer=google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.MutateAccountLinkResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'google.ads.googleads.v5.services.AccountLinkService', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class AccountLinkService(object): """This service allows management of links between Google Ads accounts and other accounts. """ @staticmethod def GetAccountLink(request, target, options=(), channel_credentials=None, call_credentials=None, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/google.ads.googleads.v5.services.AccountLinkService/GetAccountLink', google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.GetAccountLinkRequest.SerializeToString, google_dot_ads_dot_googleads__v5_dot_proto_dot_resources_dot_account__link__pb2.AccountLink.FromString, options, channel_credentials, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def CreateAccountLink(request, target, options=(), channel_credentials=None, call_credentials=None, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/google.ads.googleads.v5.services.AccountLinkService/CreateAccountLink', google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.CreateAccountLinkRequest.SerializeToString, google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.CreateAccountLinkResponse.FromString, options, channel_credentials, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def MutateAccountLink(request, target, options=(), channel_credentials=None, call_credentials=None, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/google.ads.googleads.v5.services.AccountLinkService/MutateAccountLink', google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.MutateAccountLinkRequest.SerializeToString, google_dot_ads_dot_googleads__v5_dot_proto_dot_services_dot_account__link__service__pb2.MutateAccountLinkResponse.FromString, options, channel_credentials, call_credentials, compression, wait_for_ready, timeout, metadata)

53.657343

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0

null

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1

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1

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null

0

6

f20df414439db12060652bab7b51e095499b8c23

42,782

py

Python

tests/unit/transformer/test_mapper_custom_data_types.py

Breaka84/spooq

d44eb5ad98612ff59826e7caa6d3b255f3a351c2

[ "MIT" ]

3

2021-06-15T13:48:23.000Z

2021-11-16T12:04:55.000Z

tests/unit/transformer/test_mapper_custom_data_types.py

Breaka84/spooq

d44eb5ad98612ff59826e7caa6d3b255f3a351c2

[ "MIT" ]

11

2020-05-22T13:46:22.000Z

2021-11-16T09:34:09.000Z

tests/unit/transformer/test_mapper_custom_data_types.py

Breaka84/spooq

d44eb5ad98612ff59826e7caa6d3b255f3a351c2

[ "MIT" ]

1

2021-03-17T16:32:45.000Z

from builtins import object import json import pytest import datetime import pandas as pd from pyspark.sql import functions as F from pyspark.sql import Row from pyspark.sql import types as T import spooq.transformer.mapper_custom_data_types as custom_types from spooq.transformer import Mapper from ...data.test_fixtures.mapper_custom_data_types_fixtures import ( fixtures_for_spark_sql_object, fixtures_for_has_value, fixtures_for_extended_string_to_int, fixtures_for_extended_string_to_long, fixtures_for_extended_string_to_float, fixtures_for_extended_string_to_double, fixtures_for_extended_string_to_boolean, fixtures_for_extended_string_to_timestamp_spark2, fixtures_for_extended_string_unix_timestamp_ms_to_timestamp_spark2, fixtures_for_extended_string_to_date_spark2, fixtures_for_extended_string_unix_timestamp_ms_to_date_spark2, fixtures_for_extended_string_to_timestamp, fixtures_for_extended_string_unix_timestamp_ms_to_timestamp, fixtures_for_extended_string_to_date, fixtures_for_extended_string_unix_timestamp_ms_to_date, ) from ...helpers.skip_conditions import only_spark2, only_spark3 def get_spark_data_type(input_value): return { "str": T.StringType(), "int": T.LongType(), "bool": T.BooleanType(), "float": T.DoubleType(), "NoneType": T.NullType(), }[type(input_value).__name__] def parameter_to_string_id(val): return "<" + str(val) + ">" def parameters_to_string_id(actual_value, expected_value): return " actual: <{a}> ({a_cls}) -> expected: <{e}> ({e_cls})".format( a=actual_value, a_cls=str(type(actual_value)), e=expected_value, e_cls=str(type(expected_value)) ) def get_input_df(spark_session, spark_context, source_key, input_value): input_json = json.dumps({"attributes": {"data": {source_key: input_value}}}) return spark_session.read.json(spark_context.parallelize([input_json])) class TestDynamicallyCallMethodsByDataTypeName(object): # fmt: off @pytest.mark.parametrize(("function_name", "data_type"), [ ("_generate_select_expression_for_as_is", "as_is"), ("_generate_select_expression_without_casting", "as_is"), ("_generate_select_expression_without_casting", "keep"), ("_generate_select_expression_without_casting", "no_change"), ("_generate_select_expression_for_json_string", "json_string"), ("_generate_select_expression_for_meters_to_cm", "meters_to_cm"), ("_generate_select_expression_for_has_value", "has_value"), ("_generate_select_expression_for_timestamp_ms_to_ms", "timestamp_ms_to_ms"), ("_generate_select_expression_for_timestamp_ms_to_s", "timestamp_ms_to_s"), ("_generate_select_expression_for_timestamp_s_to_ms", "timestamp_s_to_ms"), ("_generate_select_expression_for_timestamp_s_to_ms", "timestamp_s_to_ms"), ("_generate_select_expression_for_StringNull", "StringNull"), ("_generate_select_expression_for_IntNull", "IntNull"), ("_generate_select_expression_for_IntBoolean", "IntBoolean"), ("_generate_select_expression_for_StringBoolean", "StringBoolean"), ("_generate_select_expression_for_TimestampMonth", "TimestampMonth"), ("_generate_select_expression_for_extended_string_to_int", "extended_string_to_int"), ("_generate_select_expression_for_extended_string_to_long", "extended_string_to_long"), ("_generate_select_expression_for_extended_string_to_float", "extended_string_to_float"), ("_generate_select_expression_for_extended_string_to_double", "extended_string_to_double"), ("_generate_select_expression_for_extended_string_to_boolean", "extended_string_to_boolean"), ("_generate_select_expression_for_extended_string_to_timestamp", "extended_string_to_timestamp"), ("_generate_select_expression_for_extended_string_unix_timestamp_ms_to_timestamp", "extended_string_unix_timestamp_ms_to_timestamp"), ]) # fmt: on def test_get_select_expression_for_custom_type(self, data_type, function_name, mocker): source_column, name = "element.key", "element_key" mocked_function = mocker.patch.object(custom_types, function_name) custom_types._get_select_expression_for_custom_type(source_column, name, data_type) mocked_function.assert_called_once_with(source_column, name) def test_exception_is_raised_if_data_type_not_found(self): source_column, name = "element.key", "element_key" data_type = "NowhereToBeFound" with pytest.raises(AttributeError): custom_types._get_select_expression_for_custom_type(source_column, name, data_type) class TestAdHocSparkSqlFunctions(object): @staticmethod def create_input_df(input_value_1, input_value_2, spark_session): spark_schema = T.StructType( [ T.StructField( "nested", T.StructType( [ T.StructField("input_key_1", get_spark_data_type(input_value_1)), T.StructField("input_key_2", get_spark_data_type(input_value_2)), ] ), ) ] ) return spark_session.createDataFrame( data=[Row(nested=Row(input_key_1=input_value_1, input_key_2=input_value_2))], schema=spark_schema ) @pytest.mark.parametrize( argnames=("input_value_1", "input_value_2", "mapper_function", "expected_value"), argvalues=fixtures_for_spark_sql_object, ) def test_spark_sql_object(self, spark_session, input_value_1, input_value_2, mapper_function, expected_value): input_df = self.create_input_df(input_value_1, input_value_2, spark_session) output_df = Mapper(mapping=[("output_key", mapper_function, "as_is")]).transform(input_df) actual = output_df.first().output_key if isinstance(expected_value, datetime.datetime): assert (expected_value - datetime.timedelta(seconds=30)) < actual < datetime.datetime.now() else: assert actual == expected_value class TestMiscConversions(object): # fmt: off @pytest.mark.parametrize(("input_value", "value"), [ ("only some text", "only some text"), (None, None), ({"key": "value"}, Row(key="value")), ({"key": {"other_key": "value"}}, Row(key=Row(other_key="value"))), ({"age": 18,"weight": 75}, Row(age=18, weight=75)), ({"list_of_friend_ids": [12, 75, 44, 76]}, Row(list_of_friend_ids=[12, 75, 44, 76])), ([{"weight": "75"}, {"weight": "76"}, {"weight": "73"}], [Row(weight="75"), Row(weight="76"), Row(weight="73")]), ({"list_of_friend_ids": [{"id": 12}, {"id": 75}, {"id": 44}, {"id": 76}]}, Row(list_of_friend_ids=[Row(id=12), Row(id=75), Row(id=44), Row(id=76)])), ]) # fmt: on def test_generate_select_expression_without_casting(self, input_value, value, spark_session, spark_context): source_key, name = "demographics", "statistics" input_df = get_input_df(spark_session, spark_context, source_key, input_value) result_column = custom_types._generate_select_expression_without_casting( source_column=input_df["attributes"]["data"][source_key], name=name ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.first()[name] == value, "Processing of column value" # fmt: off @pytest.mark.parametrize(("input_value", "value"), [ ("only some text", "only some text"), (None, None), ({"key": "value"}, '{"key": "value"}'), ({"key": {"other_key": "value"}}, '{"key": {"other_key": "value"}}'), ({"age": 18, "weight": 75}, '{"age": 18, "weight": 75}'), ({"list_of_friend_ids": [12, 75, 44, 76]}, '{"list_of_friend_ids": [12, 75, 44, 76]}'), ([{"weight": "75"}, {"weight": "76"}, {"weight": "73"}], '[{"weight": "75"}, {"weight": "76"}, {"weight": "73"}]'), ({"list_of_friend_ids": [{"id": 12}, {"id": 75}, {"id": 44}, {"id": 76}]}, '{"list_of_friend_ids": [{"id": 12}, {"id": 75}, {"id": 44}, {"id": 76}]}') ]) # fmt: on def test_generate_select_expression_for_json_string(self, input_value, value, spark_session, spark_context): source_key, name = "demographics", "statistics" input_df = get_input_df(spark_session, spark_context, source_key, input_value) result_column = custom_types._generate_select_expression_for_json_string( source_column=input_df["attributes"]["data"][source_key], name=name ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.schema[name].dataType.typeName() == "string", "Casting of column" assert output_df.first()[name] == value, "Processing of column value" # fmt: off @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=[ (1.80, 180), (2., 200), (-1.0, -100), (0.0, 0), (0, 0), (2, 200), (-4, -400), ("1.80", 180), ("2.", 200), ("-1.0", -100), ("0.0", 0), (None, None), ("one", None), ]) # fmt: on def test_generate_select_expression_for_meters_to_cm(self, input_value, expected_value, spark_session): input_df = spark_session.createDataFrame( data=[Row(input_key=input_value)], schema=T.StructType([T.StructField("input_key", get_spark_data_type(input_value), True)]), ) output_df = Mapper(mapping=[("output_column", "input_key", "meters_to_cm")]).transform(input_df) assert output_df.first().output_column == expected_value, "Processing of column value" assert output_df.schema.fieldNames() == ["output_column"], "Renaming of column" assert output_df.schema["output_column"].dataType.typeName() == "integer", "Casting of column" @pytest.mark.parametrize(argnames=("input_value", "expected_value"), argvalues=fixtures_for_has_value) def test_generate_select_expression_for_has_value(self, input_value, expected_value, spark_session): input_df = spark_session.createDataFrame( data=[Row(input_key=input_value)], schema=T.StructType([T.StructField("input_key", get_spark_data_type(input_value), True)]), ) output_df = Mapper(mapping=[("output_column", "input_key", "has_value")]).transform(input_df) assert output_df.first().output_column == expected_value, "Processing of column value" assert output_df.schema.fieldNames() == ["output_column"], "Renaming of column" assert output_df.schema["output_column"].dataType.typeName() == "boolean", "Casting of column" class TestExtendedStringConversions(object): @staticmethod def create_input_df(input_value, spark_session): return spark_session.createDataFrame( data=[Row(input_key=input_value)], schema=T.StructType([T.StructField("input_key", get_spark_data_type(input_value), True)]), ) @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_to_int, ids=[parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_to_int], ) def test_extended_string_to_int(self, spark_session, input_value, expected_value): input_df = self.create_input_df(input_value, spark_session) output_df = Mapper(mapping=[("output_key", "input_key", "extended_string_to_int")]).transform(input_df) assert output_df.first().output_key == expected_value assert isinstance(output_df.schema["output_key"].dataType, T.IntegerType) @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_to_long, ids=[parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_to_long], ) def test_extended_string_to_long(self, spark_session, input_value, expected_value): input_df = self.create_input_df(input_value, spark_session) output_df = Mapper(mapping=[("output_key", "input_key", "extended_string_to_long")]).transform(input_df) assert output_df.first().output_key == expected_value assert isinstance(output_df.schema["output_key"].dataType, T.LongType) @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_to_float, ids=[parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_to_float], ) def test_extended_string_to_float(self, spark_session, input_value, expected_value): input_df = self.create_input_df(input_value, spark_session) output_df = Mapper(mapping=[("output_key", "input_key", "extended_string_to_float")]).transform(input_df) actual_value = output_df.first().output_key if actual_value is not None: assert pytest.approx(actual_value) == expected_value else: assert actual_value == expected_value assert isinstance(output_df.schema["output_key"].dataType, T.FloatType) @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_to_double, ids=[parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_to_double], ) def test_extended_string_to_double(self, spark_session, input_value, expected_value): input_df = self.create_input_df(input_value, spark_session) output_df = Mapper(mapping=[("output_key", "input_key", "extended_string_to_double")]).transform(input_df) actual_value = output_df.first().output_key if actual_value is not None: assert pytest.approx(actual_value) == expected_value else: assert actual_value == expected_value assert isinstance(output_df.schema["output_key"].dataType, T.DoubleType) @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_to_boolean, ids=[parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_to_boolean], ) def test_extended_string_to_boolean(self, spark_session, input_value, expected_value): input_df = self.create_input_df(input_value, spark_session) output_df = Mapper(mapping=[("output_key", "input_key", "extended_string_to_boolean")]).transform(input_df) assert output_df.first().output_key == expected_value assert isinstance(output_df.schema["output_key"].dataType, T.BooleanType) @only_spark2 @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_to_timestamp_spark2, ids=[ parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_to_timestamp_spark2 ], ) def test_extended_string_to_timestamp_spark2(self, spark_session, input_value, expected_value): # test uses timezone set to GMT / UTC (pytest.ini)! input_df = self.create_input_df(input_value, spark_session) output_df = Mapper(mapping=[("output_key", "input_key", "extended_string_to_timestamp")]).transform(input_df) # workaround via pandas necessary due to bug with direct conversion # to python datetime wrt timezone conversions (https://issues.apache.org/jira/browse/SPARK-32123) try: output_pd_df = output_df.toPandas() actual_value = output_pd_df.iloc[0]["output_key"].to_pydatetime() except ValueError: # If input is in milliseconds it will still be stored in the DF but cannot be collected in Python actual_value = "out_of_range_for_python" except AttributeError: # `.to_pydatetime()` can only be used on datetimes and throws AttributeErrors on other objects / None actual_value = None assert actual_value == expected_value assert isinstance(output_df.schema["output_key"].dataType, T.TimestampType) @only_spark3 @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_to_timestamp, ids=[ parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_to_timestamp ], ) def test_extended_string_to_timestamp(self, spark_session, input_value, expected_value): # test uses timezone set to GMT / UTC (pytest.ini)! input_df = self.create_input_df(input_value, spark_session) output_df = Mapper(mapping=[("output_key", "input_key", "extended_string_to_timestamp")]).transform(input_df) # workaround via pandas necessary due to bug with direct conversion # to python datetime wrt timezone conversions (https://issues.apache.org/jira/browse/SPARK-32123) output_pd_df = output_df.toPandas() output_value = output_pd_df.iloc[0]["output_key"] if isinstance(output_value, type(pd.NaT)): actual_value = None else: actual_value = output_value.to_pydatetime() assert actual_value == expected_value assert isinstance(output_df.schema["output_key"].dataType, T.TimestampType) @only_spark2 @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_unix_timestamp_ms_to_timestamp_spark2, ids=[ parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_unix_timestamp_ms_to_timestamp_spark2 ], ) def test_extended_string_unix_timestamp_ms_to_timestamp_spark2(self, spark_session, input_value, expected_value): # test uses timezone set to GMT / UTC (pytest.ini)! input_df = self.create_input_df(input_value, spark_session) output_df = Mapper( mapping=[("output_key", "input_key", "extended_string_unix_timestamp_ms_to_timestamp")] ).transform(input_df) # workaround via pandas necessary due to bug with direct conversion # to python datetime wrt timezone conversions (https://issues.apache.org/jira/browse/SPARK-32123) try: output_pd_df = output_df.toPandas() actual_value = output_pd_df.iloc[0]["output_key"].to_pydatetime() assert ( actual_value.toordinal() == expected_value.toordinal(), "actual_value: {act_val}, expected value: {expected_val}".format( act_val=actual_value, expected_val=expected_value ), ) except AttributeError: # `.to_pydatetime()` can only be used on datetimes and throws AttributeErrors on None assert expected_value is None assert isinstance(output_df.schema["output_key"].dataType, T.TimestampType) @only_spark3 @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_unix_timestamp_ms_to_timestamp, ids=[ parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_unix_timestamp_ms_to_timestamp ], ) def test_extended_string_unix_timestamp_ms_to_timestamp(self, spark_session, input_value, expected_value): # test uses timezone set to GMT / UTC (pytest.ini)! input_df = self.create_input_df(input_value, spark_session) output_df = Mapper( mapping=[("output_key", "input_key", "extended_string_unix_timestamp_ms_to_timestamp")] ).transform(input_df) # workaround via pandas necessary due to bug with direct conversion # to python datetime wrt timezone conversions (https://issues.apache.org/jira/browse/SPARK-32123) output_pd_df = output_df.toPandas() output_value = output_pd_df.iloc[0]["output_key"] if isinstance(output_value, type(pd.NaT)): actual_value = None else: actual_value = output_value.to_pydatetime().toordinal() expected_value = expected_value.toordinal() assert actual_value == expected_value assert isinstance(output_df.schema["output_key"].dataType, T.TimestampType) @only_spark2 @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_to_date_spark2, ids=[ parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_to_date_spark2 ], ) def test_extended_string_to_date_spark2(self, spark_session, input_value, expected_value): input_df = self.create_input_df(input_value, spark_session) output_df = Mapper(mapping=[("output_key", "input_key", "extended_string_to_date")]).transform(input_df) try: actual_value = output_df.first().output_key except ValueError: # If input is in milliseconds it will still be stored in the DF but cannot be collected in Python actual_value = "out_of_range_for_python" assert actual_value == expected_value assert isinstance(output_df.schema["output_key"].dataType, T.DateType) @only_spark3 @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_to_date, ids=[parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_to_date], ) def test_extended_string_to_date(self, spark_session, input_value, expected_value): input_df = self.create_input_df(input_value, spark_session) output_df = Mapper(mapping=[("output_key", "input_key", "extended_string_to_date")]).transform(input_df) actual_value = output_df.first().output_key assert actual_value == expected_value assert isinstance(output_df.schema["output_key"].dataType, T.DateType) @only_spark2 @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_unix_timestamp_ms_to_date_spark2, ids=[ parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_unix_timestamp_ms_to_date_spark2 ], ) def test_extended_string_unix_timestamp_ms_to_date_spark2(self, spark_session, input_value, expected_value): input_df = self.create_input_df(input_value, spark_session) output_df = Mapper( mapping=[("output_key", "input_key", "extended_string_unix_timestamp_ms_to_date")] ).transform(input_df) actual_value = output_df.first().output_key assert actual_value == expected_value assert isinstance(output_df.schema["output_key"].dataType, T.DateType) @only_spark3 @pytest.mark.parametrize( argnames=("input_value", "expected_value"), argvalues=fixtures_for_extended_string_unix_timestamp_ms_to_date, ids=[ parameters_to_string_id(actual, expected) for actual, expected in fixtures_for_extended_string_unix_timestamp_ms_to_date ], ) def test_extended_string_unix_timestamp_ms_to_date(self, spark_session, input_value, expected_value): input_df = self.create_input_df(input_value, spark_session) output_df = Mapper( mapping=[("output_key", "input_key", "extended_string_unix_timestamp_ms_to_date")] ).transform(input_df) actual_value = output_df.first().output_key assert actual_value == expected_value assert isinstance(output_df.schema["output_key"].dataType, T.DateType) class TestAnonymizingMethods(object): # fmt: off @pytest.mark.parametrize(("input_value", "value"), [ ("my_first_mail@myspace.com", "1"), ("", None), (None, None), (" ", "1"), (100, "1"), (0, "1")], ) # fmt: on def test_generate_select_expression_for_StringBoolean(self, input_value, value, spark_session, spark_context): source_key, name = "email_address", "mail" input_df = get_input_df(spark_session, spark_context, source_key, input_value) result_column = custom_types._generate_select_expression_for_StringBoolean( source_column=input_df["attributes"]["data"][source_key], name=name ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.schema[name].dataType.typeName() == "string", "Casting of column" assert output_df.first()[name] == value, "Processing of column value" # fmt: off @pytest.mark.parametrize(("input_value", "value"), [ ("my_first_mail@myspace.com", None), ("", None), (None, None), (" ", None), (100, None), (0, None)], ) # fmt: on def test_generate_select_expression_for_StringNull(self, input_value, value, spark_session, spark_context): source_key, name = "email_address", "mail" input_df = get_input_df(spark_session, spark_context, source_key, input_value) result_column = custom_types._generate_select_expression_for_StringNull( source_column=input_df["attributes"]["data"][source_key], name=name ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.schema[name].dataType.typeName() == "string", "Casting of column" assert output_df.first()[name] == value, "Processing of column value" # fmt: off @pytest.mark.parametrize(("input_value", "value"), [ (12345, 1), ("", 1), ("some text", 1), (None, None), (0, 1), (1, 1), (-1, 1), (5445.23, 1), (float("inf"), 1), (-1 * float("inf"), 1) ]) # fmt: on def test_generate_select_expression_for_IntBoolean(self, input_value, value, spark_session, spark_context): source_key, name = "user_id", "id" input_df = get_input_df(spark_session, spark_context, source_key, input_value) result_column = custom_types._generate_select_expression_for_IntBoolean( source_column=input_df["attributes"]["data"][source_key], name=name ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.schema[name].dataType.typeName() == "integer", "Casting of column" assert output_df.first()[name] == value, "Processing of column value" # fmt: off @pytest.mark.parametrize(("input_value", "value"), [ (12345, None), ("", None), ("some text", None), (None, None), (0, None), (1, None), (-1, None), (5445.23, None), (float("inf"), None), (-1 * float("inf"), None), ]) # fmt: on def test_generate_select_expression_for_IntNull(self, input_value, value, spark_session, spark_context): source_key, name = "user_id", "id" input_df = get_input_df(spark_session, spark_context, source_key, input_value) result_column = custom_types._generate_select_expression_for_IntNull( source_column=input_df["attributes"]["data"][source_key], name=name ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.schema[name].dataType.typeName() == "integer", "Casting of column" assert output_df.first()[name] == value, "Processing of column value" # fmt: off @only_spark2 @pytest.mark.parametrize(("input_value", "value"), [ (None, None), ("1955-09-41", None), ("1969-04-03", "1969-04-01"), ("1985-03-07", "1985-03-01"), ("1998-06-10", "1998-06-01"), ("1967-05-16", "1967-05-01"), ("1953-01-01", "1953-01-01"), ("1954-11-06", "1954-11-01"), ("1978-09-05", "1978-09-01"), ("1999-05-23", "1999-05-01"), ]) # fmt: on def test_generate_select_expression_for_TimestampMonth_spark2( self, input_value, value, spark_session, spark_context ): source_key, name = "day_of_birth", "birthday" input_df = get_input_df(spark_session, spark_context, source_key, input_value) input_df = input_df.withColumn( source_key, F.to_utc_timestamp(input_df["attributes"]["data"][source_key], "yyyy-MM-dd") ) result_column = custom_types._generate_select_expression_for_TimestampMonth( source_column=input_df[source_key], name=name ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.schema[name].dataType.typeName() == "timestamp", "Casting of column" output_value = output_df.first()[name] if output_value: output_value = datetime.date.strftime(output_value, format("%Y-%m-%d")) else: output_value = None assert output_value == value, "Processing of column value" # fmt: off @only_spark3 @pytest.mark.parametrize(("input_value", "value"), [ (None, None), ("1955-09-41", None), ("1969-04-03", "1969-04-01"), ("1985-03-07", "1985-03-01"), ("1998-06-10", "1998-06-01"), ("1967-05-16", "1967-05-01"), ("1953-01-01", "1953-01-01"), ("1954-11-06", "1954-11-01"), ("1978-09-05", "1978-09-01"), ("1999-05-23", "1999-05-01"), ]) # fmt: on def test_generate_select_expression_for_TimestampMonth(self, input_value, value, spark_session, spark_context): source_key, name = "day_of_birth", "birthday" input_df = get_input_df(spark_session, spark_context, source_key, input_value) input_df = input_df.withColumn(source_key, input_df["attributes"]["data"][source_key].cast(T.DateType())) result_column = custom_types._generate_select_expression_for_TimestampMonth( source_column=input_df[source_key], name=name ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.schema[name].dataType.typeName() == "timestamp", "Casting of column" output_value = output_df.first()[name] if output_value: output_value = datetime.date.strftime(output_value, format("%Y-%m-%d")) else: output_value = None assert output_value == value, "Processing of column value" class TestTimestampMethods(object): # fmt: off @pytest.mark.parametrize(("input_value", "value"), [ (0, 0), # minimum valid timestamp (-1, None), # minimum valid timestamp - 1 ms (None, None), (4102358400000, 4102358400000), # maximum valid timestamp (4102358400001, None), # maximum valid timestamp + 1 ms (5049688276000, None), (3469296996000, 3469296996000), (7405162940000, None), (2769601503000, 2769601503000), (-1429593275000, None), (3412549669000, 3412549669000), ]) # fmt: on def test_generate_select_expression_for_timestamp_ms_to_ms(self, input_value, value, spark_session, spark_context): source_key, name = "updated_at", "updated_at_ms" input_df = get_input_df(spark_session, spark_context, source_key, input_value) result_column = custom_types._generate_select_expression_for_timestamp_ms_to_ms( source_column=input_df["attributes"]["data"][source_key], name=name ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.schema[name].dataType.typeName() == "long", "Casting of column" assert output_df.first()[name] == value, "Processing of column value" # fmt: off @pytest.mark.parametrize(("input_value", "value"), [ (0, 0), # minimum valid timestamp (-1, None), # minimum valid timestamp - 1 ms (None, None), (4102358400000, 4102358400), # maximum valid timestamp (4102358400001, None), # maximum valid timestamp + 1 ms (5049688276000, None), (3469296996000, 3469296996), (7405162940000, None), (2769601503000, 2769601503), (-1429593275000, None), (3412549669000, 3412549669), ]) # fmt: on def test_generate_select_expression_for_timestamp_ms_to_s(self, input_value, value, spark_session, spark_context): source_key, name = "updated_at", "updated_at_ms" input_df = get_input_df(spark_session, spark_context, source_key, input_value) result_column = custom_types._generate_select_expression_for_timestamp_ms_to_s( source_column=input_df["attributes"]["data"][source_key], name=name ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.schema[name].dataType.typeName() == "long", "Casting of column" assert output_df.first()[name] == value, "Processing of column value" # fmt: off @pytest.mark.parametrize(("input_value", "value"), [ (0, 0), # minimum valid timestamp (-1, None), # minimum valid timestamp - 1 s (None, None), (4102358400, 4102358400000), # maximum valid timestamp (4102358401, None), # maximum valid timestamp + 1 s (5049688276, None), (3469296996, 3469296996000), (7405162940, None), (2769601503, 2769601503000), (-1429593275, None), (3412549669, 3412549669000), ]) # fmt: on def test_generate_select_expression_for_timestamp_s_to_ms(self, input_value, value, spark_session, spark_context): source_key, name = "updated_at", "updated_at_ms" input_df = get_input_df(spark_session, spark_context, source_key, input_value) result_column = custom_types._generate_select_expression_for_timestamp_s_to_ms( source_column=input_df["attributes"]["data"][source_key], name=name ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.schema[name].dataType.typeName() == "long", "Casting of column" assert output_df.first()[name] == value, "Processing of column value" # fmt: off @pytest.mark.parametrize(("input_value", "value"), [ (0, 0), # minimum valid timestamp (-1, None), # minimum valid timestamp - 1 s (None, None), (4102358400, 4102358400), # maximum valid timestamp (4102358401, None), # maximum valid timestamp + 1 s (5049688276, None), (3469296996, 3469296996), (7405162940, None), (2769601503, 2769601503), (-1429593275, None), (3412549669, 3412549669), ]) # fmt: on def test_generate_select_expression_for_timestamp_s_to_s(self, input_value, value, spark_session, spark_context): source_key, name = "updated_at", "updated_at_ms" input_df = get_input_df(spark_session, spark_context, source_key, input_value) result_column = custom_types._generate_select_expression_for_timestamp_s_to_s( source_column=input_df["attributes"]["data"][source_key], name=name ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.schema[name].dataType.typeName() == "long", "Casting of column" assert output_df.first()[name] == value, "Processing of column value" # fmt: off @pytest.mark.parametrize( argnames="input_value", argvalues=[1591627696951, 0, -1, 1] ) # fmt: on def test_generate_select_expression_for_unix_timestamp_ms_to_spark_timestamp(self, input_value, spark_session): input_df = spark_session.createDataFrame( [Row(input_column=input_value)], schema=T.StructType([T.StructField("input_column", T.LongType(), True)]) ) output_df = Mapper( mapping=[("output_column", "input_column", "unix_timestamp_ms_to_spark_timestamp")] ).transform(input_df) expected_value = datetime.datetime.fromtimestamp(input_value / 1000.0) assert output_df.first().output_column == expected_value, "Processing of column value" assert output_df.schema.fieldNames() == ["output_column"], "Renaming of column" assert output_df.schema["output_column"].dataType.typeName() == "timestamp", "Casting of column" class TestAddCustomDataTypeInRuntime(object): @staticmethod def _generate_select_expression_for_HelloWorld(source_column, name): from pyspark.sql import types as sql_types from pyspark.sql.functions import udf def _to_hello_world(col): if not col: return None else: return "Hello World" udf_hello_world = udf(_to_hello_world, sql_types.StringType()) return udf_hello_world(source_column).alias(name) def test_custom_data_type_is_added(self, mocker): source_column, name = "element.key", "element_key" custom_types.add_custom_data_type( function_name="_generate_select_expression_for_HelloWorld", func=self._generate_select_expression_for_HelloWorld, ) mocked_function = mocker.patch.object(custom_types, "_generate_select_expression_for_HelloWorld") custom_types._get_select_expression_for_custom_type(source_column, name, "HelloWorld") mocked_function.assert_called_once_with(source_column, name) # fmt: off @pytest.mark.parametrize(("input_value", "value"), [ ("Some other string", "Hello World"), ("", None), (None, None), (" ", "Hello World"), (100, "Hello World"), (0, None) ]) # fmt: on def test_custom_data_type_is_applied(self, input_value, value, spark_session, spark_context): custom_types.add_custom_data_type( function_name="_generate_select_expression_for_HelloWorld", func=self._generate_select_expression_for_HelloWorld, ) source_key, name, data_type = "key_name", "key", "HelloWorld" input_df = get_input_df(spark_session, spark_context, source_key, input_value) result_column = custom_types._get_select_expression_for_custom_type( source_column=input_df["attributes"]["data"][source_key], name=name, data_type=data_type ) output_df = input_df.select(result_column) assert output_df.schema.fieldNames() == [name], "Renaming of column" assert output_df.schema[name].dataType.typeName() == "string", "Casting of column" assert output_df.first()[name] == value, "Processing of column value" def test_multiple_columns_are_accessed(self, spark_session): input_df = spark_session.createDataFrame( [ Row(first_name="David", last_name="Eigenstuhler"), Row(first_name="Katharina", last_name="Hohensinn"), Row(first_name="Nora", last_name="Hohensinn"), ] ) input_values = input_df.rdd.map(lambda x: x.asDict()).collect() expected_values = [d["first_name"] + "_" + d["last_name"] for d in input_values] def _first_and_last_name(source_column, name): return F.concat_ws("_", source_column, F.col("last_name")).alias(name) custom_types.add_custom_data_type(function_name="fullname", func=_first_and_last_name) output_df = Mapper([("full_name", "first_name", "fullname")]).transform(input_df) output_values = output_df.rdd.map(lambda x: x.asDict()["full_name"]).collect() assert expected_values == output_values def test_function_name_is_shortened(self, spark_session): input_df = spark_session.createDataFrame( [ Row(first_name="David"), Row(first_name="Katharina"), Row(first_name="Nora"), ] ) input_values = input_df.rdd.map(lambda x: x.asDict()["first_name"]).collect() expected_values = [fn.lower() for fn in input_values] def _lowercase(source_column, name): return F.lower(source_column).alias(name) custom_types.add_custom_data_type(function_name="lowercase", func=_lowercase) output_df = Mapper([("first_name", "first_name", "lowercase")]).transform(input_df) output_values = output_df.rdd.map(lambda x: x.asDict()["first_name"]).collect() assert expected_values == output_values

48.615909

120

0.653429

5,077

42,782

5.128422

0.067363

0.030918

0.035027

0.052886

0.857818

0.832008

0.787149

0.753697

0.732688

0.705112

0

0.034799

0.233603

42,782

879

121

48.671217

0.759302

0.045136

0

0.53004

0

0.001335

0.157015

0.049404

0

0.109479

1

0.06008

false

0

0.018692

0.008011

0.102804

0

null

0

1

0

null

0

6

f21abb117960bb0c0415e97e041363ee36d853cf

192

py

Python

ex4_02.py

FMarnix/Py4Ev

09f5f5bdd898e8683f70805dac2b5d6fff0a2c76

[ "MIT" ]

null

ex4_02.py

FMarnix/Py4Ev

09f5f5bdd898e8683f70805dac2b5d6fff0a2c76

[ "MIT" ]

null

ex4_02.py

FMarnix/Py4Ev

09f5f5bdd898e8683f70805dac2b5d6fff0a2c76

[ "MIT" ]

null

def print_lyrics(): print("I'm a Lumberjack, and i'm okay.") print('I sleep all night and I work all day.') def repeat_lyrics(): print_lyrics() print_lyrics() repeat_lyrics()

21.333333

50

0.666667

31

192

3.967742

0.483871

0.268293

0.260163

0

0.203125

192

9

51

21.333333

0.803922

0

0.285714

0

0.352332

0

1

0.285714

true

0

0.285714

0.714286

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null

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0

1

0

null

0

1

0

1

0

6

f21b25e92efeaca5c13003cb83a04a018c7e7e4b

153

py

Python

tests/helpers/examples/cart/serializers.py

nicoddemus/dependencies

74180e2c6098d8ad03bc53c5703bdf8dc61c3ed9

[ "BSD-2-Clause" ]

null

tests/helpers/examples/cart/serializers.py

nicoddemus/dependencies

74180e2c6098d8ad03bc53c5703bdf8dc61c3ed9

[ "BSD-2-Clause" ]

null

tests/helpers/examples/cart/serializers.py

nicoddemus/dependencies

74180e2c6098d8ad03bc53c5703bdf8dc61c3ed9

[ "BSD-2-Clause" ]

null

from rest_framework import serializers class ItemSerializer(serializers.Serializer): pass class UserSerializer(serializers.Serializer): pass

15.3

45

0.803922

15

153

8.133333

0.666667

0.344262

0.409836

0

0.143791

153

9

46

17

0.931298

0

0.4

0

1

0

true

0.4

0.2

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0.6

0

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null

1

0

1

0

null

0

1

0

6

48097a94a7d2c8e3599c94fc1e13df7d5a28829e

35

py

Python

RPi/GPIO/__init__.py

Def4l71diot/RPi.GPIO-def

ed5f93bf8aa59e41df59001ba74691b396101983

[ "MIT" ]

8

2018-08-24T03:34:40.000Z

2022-01-05T11:10:34.000Z

RPi/GPIO/__init__.py

Def4l71diot/RPi.GPIO-def

ed5f93bf8aa59e41df59001ba74691b396101983

[ "MIT" ]

1

2018-09-14T17:33:55.000Z

RPi/GPIO/__init__.py

Def4l71diot/RPi.GPIO-def

ed5f93bf8aa59e41df59001ba74691b396101983

[ "MIT" ]

4

2017-02-04T11:29:12.000Z

2020-12-29T20:26:27.000Z

from RPi.GPIO.definitions import *

17.5

34

0.8

5

35

5.6

1

0

0.114286

35

1

35

0.903226

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

480ce372f611ddff711209f111d2bd52c15aa767

202

py

Python

posts/views.py

B339r1p/twitter-lite

409f816c8ea829ff0a228c314591d591cf3cf41a

[ "MIT" ]

null

posts/views.py

B339r1p/twitter-lite

409f816c8ea829ff0a228c314591d591cf3cf41a

[ "MIT" ]

null

posts/views.py

B339r1p/twitter-lite

409f816c8ea829ff0a228c314591d591cf3cf41a

[ "MIT" ]

null

from django.shortcuts import HttpResponse # Create your views here. def homepage(request): return HttpResponse('Hello Universe, This is our first alien meeting. behave yourself or get expelled')

25.25

107

0.782178

27

202

5.851852

0.962963

0

0.158416

202

7

108

28.857143

0.929412

0.113861

0

0.454545

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

4812898dbfdafa538b2a827a881a92273887672a

6,645

py

Python

taco_salad/toppings/criteria.py

mbrner/taco_salat

6f3521b91081b5722aae3382c300aaa4edc67892

[ "MIT" ]

3

2016-12-09T13:05:34.000Z

2016-12-10T12:22:59.000Z

taco_salad/toppings/criteria.py

mbrner/taco_salat

6f3521b91081b5722aae3382c300aaa4edc67892

[ "MIT" ]

null

taco_salad/toppings/criteria.py

mbrner/taco_salat

6f3521b91081b5722aae3382c300aaa4edc67892

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import, print_function, division import numpy as np import numexpr as ne def purity_criteria(threshold=0.99): """Returns decisison function which returns the absolute difference between the achieved and desired purity. Parameters ---------- threshold : float or callable If float, independent from the positon of the window a constant criteria, which has to be fulfilled for each window, is used. If callable the function has to take the position and return a criteria not greater than 1. Returns ------- decisison function : callable Returns a func(y_true, y_pred, position, sample_weights=None) returning 'difference' which is the absolute difference between the achieved and desired purity """ if isinstance(threshold, float): if threshold > 1.: raise ValueError('Constant threshold must be <= 1') def threshold_func(x): return threshold elif callable(threshold): threshold_func = threshold else: raise TypeError('\'threshold\' must be either float or callable') def decision_function(y_true, y_pred, position, sample_weights=None): """Returns decisison function which returns if the desired purity is fulfilled. Parameters ---------- y_true : 1d array-like Ground truth (correct) target values. Only binary classification is supported. y_pred : 1d array-like Estimated targets. position : float Value indicating the postion of the cut window. Returns ------- fulfilled : boolean Return if the criteria is fulfilled. """ float_criteria = threshold_func(position) if not isinstance(float_criteria, float): raise TypeError('Callable threshold must return float <= 1.') if float_criteria > 1.: raise ValueError('Callable threshold returned value > 1') y_true_bool = np.array(y_true, dtype=bool) y_pred_bool = np.array(y_pred, dtype=bool) if sample_weights is None: tp = np.sum(y_true_bool[y_pred_bool]) fp = np.sum(~y_true_bool[y_pred_bool]) else: idx_tp = np.logical_and(y_true_bool, y_pred_bool) idx_fp = np.logical_and(~y_true_bool, y_pred_bool) tp = np.sum(sample_weights[idx_tp]) fp = np.sum(sample_weights[idx_fp]) if tp + fp == 0: purity = 0. else: purity = tp / (tp + fp) return np.absolute(purity - float_criteria) return decision_function def general_confusion_matrix_criteria(eval_str, threshold=0.99): """Returns decisison function which returns the absolute difference the defined criteria and the threshold. Parameters ---------- eval_str: string String for the criteria. The criteria is evaluated using the numexpr module. Usable values are: tp: True Positives fp: False Positives tn: True Negatives fn: False Negatives E.g.: Purity as the criteria: 'tp / (tp + fp)' threshold : float or callable If float, independent from the positon of the window a constant criteria, which has to be fulfilled for each window, is used. If callable the function has to take the position and return a criteria not greater than 1. Returns ------- decisison function : callable Returns a func(y_true, y_pred, position, sample_weights=None) returning 'difference' which is the absolute difference between the achieved and desired purity """ if isinstance(threshold, float): if threshold > 1.: raise ValueError('Constant threshold must be <= 1') def threshold_func(x): return threshold elif callable(threshold): threshold_func = threshold else: raise TypeError('\'threshold\' must be either float or callable') if 'tp' in eval_str: calc_tp = True else: calc_tp = False if 'fp' in eval_str: calc_fp = True else: calc_fp = False if 'tn' in eval_str: calc_tn = True else: calc_tn = False if 'fn' in eval_str: calc_fn = True else: calc_fn = False def decision_function(y_true, y_pred, position, sample_weights=None): """Returns decisison function which returns if the desired purity is fulfilled. Parameters ---------- y_true : 1d array-like Ground truth (correct) target values. Only binary classification is supported. y_pred : 1d array-like Estimated targets. position : float Value indicating the postion of the cut window. Returns ------- fulfilled : boolean Return if the criteria is fulfilled. """ float_criteria = threshold_func(position) if not isinstance(float_criteria, float): raise TypeError('Callable threshold must return float <= 1.') if float_criteria > 1.: raise ValueError('Callable threshold returned value > 1') y_true_bool = np.array(y_true, dtype=bool) y_pred_bool = np.array(y_pred, dtype=bool) if calc_tp: if sample_weights is None: tp = np.sum(y_true_bool[y_pred_bool]) else: idx_tp = np.logical_and(y_true_bool, y_pred_bool) tp = np.sum(sample_weights[idx_tp]) # NOQA if calc_fp: if sample_weights is None: fp = np.sum(~y_true_bool[y_pred_bool]) else: idx_fp = np.logical_and(~y_true_bool, y_pred_bool) fp = np.sum(sample_weights[idx_fp]) # NOQA if calc_tn: if sample_weights is None: tn = np.sum(~y_true_bool[~y_pred_bool]) else: idx_tn = np.logical_and(~y_true_bool, ~y_pred_bool) tn = np.sum(sample_weights[idx_tn]) # NOQA if calc_fn: if sample_weights is None: fn = np.sum(y_true_bool[~y_pred_bool]) else: idx_fn = np.logical_and(y_true_bool, ~y_pred_bool) fn = np.sum(sample_weights[idx_fn]) # NOQA criteria_value = ne.evaluate(eval_str) return np.absolute(criteria_value - float_criteria) return decision_function

34.076923

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4.630072

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0.028351

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0.731443

0

0.005496

0.315425

6,645

194

74

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0.847439

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0.010417

0

null

0

1

0

null

0

6

481506cb346e0f0a319acea93538a910306e628f

14,769

py

Python

saleor/payment/gateways/stripe/tests/test_stripe_api.py

koopape/saleor

6c19e3627d4a0e7fa56840d9031fb33ea9968e0d

[ "CC-BY-4.0" ]

1

2020-10-02T10:12:35.000Z

saleor/payment/gateways/stripe/tests/test_stripe_api.py

koopape/saleor

6c19e3627d4a0e7fa56840d9031fb33ea9968e0d

[ "CC-BY-4.0" ]

106

2021-08-02T04:30:50.000Z

2022-03-28T04:49:41.000Z

saleor/payment/gateways/stripe/tests/test_stripe_api.py

koopape/saleor

6c19e3627d4a0e7fa56840d9031fb33ea9968e0d

[ "CC-BY-4.0" ]

null

from decimal import Decimal from unittest.mock import patch from stripe.error import AuthenticationError, StripeError from stripe.stripe_object import StripeObject from saleor.payment.interface import PaymentMethodInfo from saleor.payment.utils import price_to_minor_unit from ..consts import ( AUTOMATIC_CAPTURE_METHOD, MANUAL_CAPTURE_METHOD, METADATA_IDENTIFIER, STRIPE_API_VERSION, WEBHOOK_EVENTS, ) from ..stripe_api import ( cancel_payment_intent, capture_payment_intent, create_payment_intent, delete_webhook, get_or_create_customer, get_payment_method_details, is_secret_api_key_valid, list_customer_payment_methods, refund_payment_intent, retrieve_payment_intent, subscribe_webhook, ) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.WebhookEndpoint", ) def test_is_secret_api_key_valid_incorrect_key(mocked_webhook): api_key = "incorrect" mocked_webhook.list.side_effect = AuthenticationError() assert is_secret_api_key_valid(api_key) is False @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.WebhookEndpoint", ) def test_is_secret_api_key_valid_correct_key(mocked_webhook): api_key = "correct_key" assert is_secret_api_key_valid(api_key) is True mocked_webhook.list.assert_called_with(api_key, stripe_version=STRIPE_API_VERSION) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.WebhookEndpoint", ) def test_subscribe_webhook_returns_webhook_object(mocked_webhook, channel_USD): api_key = "api_key" expected_url = ( "http://mirumee.com/plugins/channel/main/saleor.payments.stripe/webhooks/" ) subscribe_webhook(api_key, channel_slug=channel_USD.slug) mocked_webhook.create.assert_called_with( api_key=api_key, url=expected_url, enabled_events=WEBHOOK_EVENTS, metadata={METADATA_IDENTIFIER: "mirumee.com"}, stripe_version=STRIPE_API_VERSION, ) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.WebhookEndpoint", ) def test_delete_webhook(mocked_webhook): api_key = "api_key" delete_webhook(api_key, "webhook_id") mocked_webhook.delete.assert_called_with( "webhook_id", api_key=api_key, stripe_version=STRIPE_API_VERSION ) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.PaymentIntent", ) def test_create_payment_intent_returns_intent_object(mocked_payment_intent): api_key = "api_key" mocked_payment_intent.create.return_value = StripeObject() intent, error = create_payment_intent( api_key, Decimal(10), "USD", auto_capture=True ) mocked_payment_intent.create.assert_called_with( api_key=api_key, amount="1000", currency="USD", capture_method=AUTOMATIC_CAPTURE_METHOD, stripe_version=STRIPE_API_VERSION, ) assert isinstance(intent, StripeObject) assert error is None @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.PaymentIntent", ) def test_create_payment_intent_with_customer(mocked_payment_intent): customer = StripeObject(id="c_ABC") api_key = "api_key" mocked_payment_intent.create.return_value = StripeObject() intent, error = create_payment_intent( api_key, Decimal(10), "USD", auto_capture=True, customer=customer ) mocked_payment_intent.create.assert_called_with( api_key=api_key, amount="1000", currency="USD", capture_method=AUTOMATIC_CAPTURE_METHOD, customer=customer, stripe_version=STRIPE_API_VERSION, ) assert isinstance(intent, StripeObject) assert error is None @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.PaymentIntent", ) def test_create_payment_intent_manual_auto_capture(mocked_payment_intent): api_key = "api_key" mocked_payment_intent.create.return_value = StripeObject() _intent, _error = create_payment_intent( api_key, Decimal(10), "USD", auto_capture=False ) mocked_payment_intent.create.assert_called_with( api_key=api_key, amount="1000", currency="USD", capture_method=MANUAL_CAPTURE_METHOD, stripe_version=STRIPE_API_VERSION, ) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.PaymentIntent", ) def test_create_payment_intent_returns_error(mocked_payment_intent): api_key = "api_key" mocked_payment_intent.create.side_effect = StripeError( json_body={"error": "stripe-error"} ) intent, error = create_payment_intent(api_key, Decimal(10), "USD") mocked_payment_intent.create.assert_called_with( api_key=api_key, amount="1000", currency="USD", capture_method=AUTOMATIC_CAPTURE_METHOD, stripe_version=STRIPE_API_VERSION, ) assert intent is None assert error @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.PaymentIntent", ) def test_retrieve_payment_intent(mocked_payment_intent): api_key = "api_key" payment_intent_id = "id1234" mocked_payment_intent.retrieve.return_value = StripeObject() intent, _ = retrieve_payment_intent(api_key, payment_intent_id) mocked_payment_intent.retrieve.assert_called_with( payment_intent_id, api_key=api_key, stripe_version=STRIPE_API_VERSION ) assert isinstance(intent, StripeObject) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.PaymentIntent", ) def test_retrieve_payment_intent_stripe_returns_error(mocked_payment_intent): api_key = "api_key" payment_intent_id = "id1234" expected_error = StripeError(message="stripe-error") mocked_payment_intent.retrieve.side_effect = expected_error _, error = retrieve_payment_intent(api_key, payment_intent_id) mocked_payment_intent.retrieve.assert_called_with( payment_intent_id, api_key=api_key, stripe_version=STRIPE_API_VERSION ) assert error == expected_error @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.PaymentIntent", ) def test_capture_payment_intent(mocked_payment_intent): api_key = "api_key" payment_intent_id = "id1234" amount = price_to_minor_unit(Decimal("10.0"), "USD") mocked_payment_intent.capture.return_value = StripeObject() intent, _ = capture_payment_intent( api_key=api_key, payment_intent_id=payment_intent_id, amount_to_capture=amount ) mocked_payment_intent.capture.assert_called_with( payment_intent_id, amount_to_capture=amount, api_key=api_key, stripe_version=STRIPE_API_VERSION, ) assert isinstance(intent, StripeObject) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.PaymentIntent", ) def test_capture_payment_intent_stripe_returns_error(mocked_payment_intent): api_key = "api_key" payment_intent_id = "id1234" amount = price_to_minor_unit(Decimal("10.0"), "USD") expected_error = StripeError(message="stripe-error") mocked_payment_intent.capture.side_effect = expected_error _, error = capture_payment_intent( api_key=api_key, payment_intent_id=payment_intent_id, amount_to_capture=amount ) mocked_payment_intent.capture.assert_called_with( payment_intent_id, amount_to_capture=amount, api_key=api_key, stripe_version=STRIPE_API_VERSION, ) assert error == expected_error @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.Refund", ) def test_refund_payment_intent(mocked_refund): api_key = "api_key" payment_intent_id = "id1234" amount = price_to_minor_unit(Decimal("10.0"), "USD") mocked_refund.create.return_value = StripeObject() intent, _ = refund_payment_intent( api_key=api_key, payment_intent_id=payment_intent_id, amount_to_refund=amount ) mocked_refund.create.assert_called_with( payment_intent=payment_intent_id, amount=amount, api_key=api_key, stripe_version=STRIPE_API_VERSION, ) assert isinstance(intent, StripeObject) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.Refund", ) def test_refund_payment_intent_returns_error(mocked_refund): api_key = "api_key" payment_intent_id = "id1234" amount = price_to_minor_unit(Decimal("10.0"), "USD") expected_error = StripeError(message="stripe-error") mocked_refund.create.side_effect = expected_error _, error = refund_payment_intent( api_key=api_key, payment_intent_id=payment_intent_id, amount_to_refund=amount ) mocked_refund.create.assert_called_with( payment_intent=payment_intent_id, amount=amount, api_key=api_key, stripe_version=STRIPE_API_VERSION, ) assert error == expected_error @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.PaymentIntent", ) def test_cancel_payment_intent(mocked_payment_intent): api_key = "api_key" payment_intent_id = "id1234" mocked_payment_intent.cancel.return_value = StripeObject() intent, _ = cancel_payment_intent( api_key=api_key, payment_intent_id=payment_intent_id ) mocked_payment_intent.cancel.assert_called_with( payment_intent_id, api_key=api_key, stripe_version=STRIPE_API_VERSION ) assert isinstance(intent, StripeObject) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.PaymentIntent", ) def test_cancel_payment_intent_stripe_returns_error(mocked_payment_intent): api_key = "api_key" payment_intent_id = "id1234" expected_error = StripeError(message="stripe-error") mocked_payment_intent.cancel.side_effect = expected_error _, error = cancel_payment_intent( api_key=api_key, payment_intent_id=payment_intent_id ) mocked_payment_intent.cancel.assert_called_with( payment_intent_id, api_key=api_key, stripe_version=STRIPE_API_VERSION ) assert error == expected_error @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.Customer", ) def test_get_or_create_customer_retrieve(mocked_customer): mocked_customer.retrieve.return_value = StripeObject() api_key = "123" customer_email = "admin@example.com" customer_id = "c_12345" customer = get_or_create_customer( api_key=api_key, customer_email=customer_email, customer_id=customer_id, ) assert isinstance(customer, StripeObject) mocked_customer.retrieve.assert_called_with( customer_id, api_key=api_key, stripe_version=STRIPE_API_VERSION ) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.Customer", ) def test_get_or_create_customer_failed_retrieve(mocked_customer): expected_error = StripeError(message="stripe-error") mocked_customer.retrieve.side_effect = expected_error api_key = "123" customer_email = "admin@example.com" customer_id = "c_12345" customer = get_or_create_customer( api_key=api_key, customer_email=customer_email, customer_id=customer_id, ) assert customer is None mocked_customer.retrieve.assert_called_with( customer_id, api_key=api_key, stripe_version=STRIPE_API_VERSION ) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.Customer", ) def test_get_or_create_customer_create(mocked_customer): mocked_customer.create.return_value = StripeObject() api_key = "123" customer_email = "admin@example.com" customer = get_or_create_customer( api_key=api_key, customer_email=customer_email, customer_id=None, ) assert isinstance(customer, StripeObject) mocked_customer.create.assert_called_with( email=customer_email, api_key=api_key, stripe_version=STRIPE_API_VERSION ) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.Customer", ) def test_get_or_create_customer_failed_create(mocked_customer): expected_error = StripeError(message="stripe-error") mocked_customer.create.side_effect = expected_error api_key = "123" customer_email = "admin@example.com" customer = get_or_create_customer( api_key=api_key, customer_email=customer_email, customer_id=None, ) assert customer is None mocked_customer.create.assert_called_with( email=customer_email, api_key=api_key, stripe_version=STRIPE_API_VERSION ) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.PaymentMethod", ) def test_list_customer_payment_methods(mocked_payment_method): api_key = "123" customer_id = "c_customer_id" mocked_payment_method.list.return_value = StripeObject() payment_method, error = list_customer_payment_methods( api_key=api_key, customer_id=customer_id ) assert error is None assert isinstance(payment_method, StripeObject) mocked_payment_method.list.assert_called_with( api_key=api_key, customer=customer_id, type="card", stripe_version=STRIPE_API_VERSION, ) @patch( "saleor.payment.gateways.stripe.stripe_api.stripe.PaymentMethod", ) def test_list_customer_payment_methods_failed_to_fetch(mocked_payment_method): api_key = "123" customer_id = "c_customer_id" expected_error = StripeError(message="stripe-error") mocked_payment_method.list.side_effect = expected_error payment_method, error = list_customer_payment_methods( api_key=api_key, customer_id=customer_id ) assert payment_method is None assert isinstance(error, StripeError) mocked_payment_method.list.assert_called_with( api_key=api_key, customer=customer_id, type="card", stripe_version=STRIPE_API_VERSION, ) def test_get_payment_method_details(): payment_intent = StripeObject() payment_intent.charges = { "data": [ { "type": "card", "card": { "last4": "1234", "exp_year": "2222", "exp_month": "12", "brand": "visa", }, } ] } payment_method_info = get_payment_method_details(payment_intent) assert payment_method_info == PaymentMethodInfo( last_4="1234", exp_year=2222, exp_month=12, brand="visa", type="card" ) def test_get_payment_method_details_missing_charges(): payment_intent = StripeObject() payment_intent.charges = None payment_method_info = get_payment_method_details(payment_intent) assert payment_method_info is None def test_get_payment_method_details_missing_charges_data(): payment_intent = StripeObject() payment_intent.charges = {"data": None} payment_method_info = get_payment_method_details(payment_intent) assert payment_method_info is None

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48199b6e8e3323617e90d6aa8272c0cbdf1d5160

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py

Python

simpleder/__init__.py

wq2012/SimpleDER

8e5838969f6c5040db9970e619fffa8386bfe4c7

[ "Apache-2.0" ]

34

2019-01-27T18:42:39.000Z

2022-02-28T06:08:25.000Z

simpleder/__init__.py

wq2012/SimpleDER

8e5838969f6c5040db9970e619fffa8386bfe4c7

[ "Apache-2.0" ]

2

2020-11-16T07:04:58.000Z

2021-06-24T06:24:14.000Z

simpleder/__init__.py

wq2012/SimpleDER

8e5838969f6c5040db9970e619fffa8386bfe4c7

[ "Apache-2.0" ]

6

2019-03-26T00:02:23.000Z

2021-02-18T20:02:39.000Z

from . import der DER = der.DER

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4861ca2049d7210ca92c976ae881b906691c1513

43

py

Python

activeteacher/data/transforms/__init__.py

HunterJ-Lin/ActiveTeacher

7e15c5fa118a0b5779f44811be2be41fe2f9d169

[ "Apache-2.0" ]

1

2022-03-09T12:36:58.000Z

activeteacher/data/transforms/__init__.py

HunterJ-Lin/ActiveTeacher

7e15c5fa118a0b5779f44811be2be41fe2f9d169

[ "Apache-2.0" ]

null

activeteacher/data/transforms/__init__.py

HunterJ-Lin/ActiveTeacher

7e15c5fa118a0b5779f44811be2be41fe2f9d169

[ "Apache-2.0" ]

null

from .augmentation_impl import GaussianBlur

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0

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0

1

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6

4862f3a8ee900eceeab11e43b81a110d3208d71f

44

py

Python

radam/__init__.py

wenhui-prudencemed/RAdam

baa462c2ab2fd114c69c2c35b47cb4973efea376

[ "Apache-2.0" ]

2,597

2019-08-09T20:42:11.000Z

2022-03-29T14:09:17.000Z

radam/__init__.py

wenhui-prudencemed/RAdam

baa462c2ab2fd114c69c2c35b47cb4973efea376

[ "Apache-2.0" ]

56

2019-08-15T22:56:37.000Z

2021-09-19T21:16:15.000Z

radam/__init__.py

wenhui-prudencemed/RAdam

baa462c2ab2fd114c69c2c35b47cb4973efea376

[ "Apache-2.0" ]

385

2019-08-15T23:06:09.000Z

2022-01-04T09:22:00.000Z

from .radam import RAdam, PlainRAdam, AdamW

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6f94f9e550a17844fb0fb1bf942d3f2d26b933f1

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py

Python

py_tdlib/constructors/test_use_error.py

Mr-TelegramBot/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

24

2018-10-05T13:04:30.000Z

2020-05-12T08:45:34.000Z

py_tdlib/constructors/test_use_error.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

3

2019-06-26T07:20:20.000Z

2021-05-24T13:06:56.000Z

py_tdlib/constructors/test_use_error.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

5

2018-10-05T14:29:28.000Z

2020-08-11T15:04:10.000Z

from ..factory import Method class testUseError(Method): pass

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6fab5742afcf6441a1ed3799f0c491f944097ef1

170

py

Python

src_py/formulations/formulation_abstract.py

sukolsak/kpd_opt

f2b8c05234ce9722235151e324a7026b642d4fb5

[ "MIT" ]

null

src_py/formulations/formulation_abstract.py

sukolsak/kpd_opt

f2b8c05234ce9722235151e324a7026b642d4fb5

[ "MIT" ]

null

src_py/formulations/formulation_abstract.py

sukolsak/kpd_opt

f2b8c05234ce9722235151e324a7026b642d4fb5

[ "MIT" ]

null

from abc import ABC, abstractmethod from utils.transport import Output class Formulation(ABC): @abstractmethod def solve(self) -> {Output, None}: pass

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1

0

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0

6

d205497b261bab4ecfb9ddd7a6b4a29f81003f5a

220

py

Python

tests/wildcat_connection/conftest.py

nathanllww/slivka-irv

6688ac88a34387df476d51f66d291e9f3b6454aa

[ "MIT" ]

null

tests/wildcat_connection/conftest.py

nathanllww/slivka-irv

6688ac88a34387df476d51f66d291e9f3b6454aa

[ "MIT" ]

5

2021-10-08T17:44:32.000Z

2021-12-19T18:47:59.000Z

tests/wildcat_connection/conftest.py

nathanllww/slivka-irv

6688ac88a34387df476d51f66d291e9f3b6454aa

[ "MIT" ]

null

import os import pytest from . import TEST_CASE_INVALID, WCTestCase @pytest.fixture() def duplicate_question_test_case() -> WCTestCase: return WCTestCase(os.path.join(TEST_CASE_INVALID, "duplicate_questions.csv"))

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6

d2514cd2a3dba9b04975c577ac7e853ce1bf6b8b

85

py

Python

addons14/sale_timesheet_rounded/models/__init__.py

odoochain/addons_oca

55d456d798aebe16e49b4a6070765f206a8885ca

[ "MIT" ]

1

2021-06-10T14:59:13.000Z

addons14/sale_timesheet_rounded/models/__init__.py

odoochain/addons_oca

55d456d798aebe16e49b4a6070765f206a8885ca

[ "MIT" ]

null

addons14/sale_timesheet_rounded/models/__init__.py

odoochain/addons_oca

55d456d798aebe16e49b4a6070765f206a8885ca

[ "MIT" ]

1

2021-04-09T09:44:44.000Z

from . import account_analytic_line from . import project_project from . import sale

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d26fefbe05d2dc63c65d1e11810217709b4b24c1

26

py

Python

powerline_iconcwd/__init__.py

pronobis/powerline_iconcwd

bc9aee33200070eb1a97f7338bfd183e7adee2e2

[ "MIT" ]

1

2021-09-15T15:13:14.000Z

powerline_iconcwd/__init__.py

pronobis/powerline_iconcwd

bc9aee33200070eb1a97f7338bfd183e7adee2e2

[ "MIT" ]

null

powerline_iconcwd/__init__.py

pronobis/powerline_iconcwd

bc9aee33200070eb1a97f7338bfd183e7adee2e2

[ "MIT" ]

null

from .segments import cwd

13

25

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26

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1

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1

0

6

967886ea7bb9e49fd56425129be6fc0a79e70cdf

117

py

Python

catflap/data/__init__.py

yay4ya/catflap

1cb146417948c4c60c4765287c6f62664058290b

[ "MIT" ]

null

catflap/data/__init__.py

yay4ya/catflap

1cb146417948c4c60c4765287c6f62664058290b

[ "MIT" ]

null

catflap/data/__init__.py

yay4ya/catflap

1cb146417948c4c60c4765287c6f62664058290b

[ "MIT" ]

1

2020-06-30T15:56:07.000Z

from catflap.data.author import Author from catflap.data.message import Message from catflap.data.video import Video

29.25

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null

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967f4faed0173677aa1046198821e74aa78ef993

225

py

Python

supervisor/nacos/__init__.py

Leon-sk/supervisor-nacos

5de2dd5ccdc16cc1142419945d0e41e78387040f

[ "Apache-2.0" ]

1

2022-03-31T06:48:17.000Z

supervisor/nacos/__init__.py

Leon-sk/supervisor-nacos

5de2dd5ccdc16cc1142419945d0e41e78387040f

[ "Apache-2.0" ]

null

supervisor/nacos/__init__.py

Leon-sk/supervisor-nacos

5de2dd5ccdc16cc1142419945d0e41e78387040f

[ "Apache-2.0" ]

null

#!/usr/local/bin/env python3 # -*- coding:utf-8 -*- from supervisor.nacos.client import NacosClient, NacosException, DEFAULTS, DEFAULT_GROUP_NAME __all__ = ["NacosClient", "NacosException", "DEFAULTS", DEFAULT_GROUP_NAME]

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73be4ca4a52c93ecedb9b2d345fa247dbb39265a

98

py

Python

gestionale/controllers/cbi.py

ValentinoUberti/mcimporter

b9d777ab02eb51d193a86af096b7976e6d5a4dc9

[ "Apache-2.0" ]

null

gestionale/controllers/cbi.py

ValentinoUberti/mcimporter

b9d777ab02eb51d193a86af096b7976e6d5a4dc9

[ "Apache-2.0" ]

null

gestionale/controllers/cbi.py

ValentinoUberti/mcimporter

b9d777ab02eb51d193a86af096b7976e6d5a4dc9

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # try something like def index(): return dict(message="hello from cbi.py")

32.666667

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4.333333

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0.142857

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53

32.666667

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0

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true

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null

0

1

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null

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1

0

1

0

6

73d6484df479d3df9b6bd67f152b20c2f88018f1

158

py

Python

structural/decorator/logic/__init__.py

Kozak24/Patterns

351d5c11f7c64ce5d58db37b6715fc8f7d31945a

[ "MIT" ]

null

structural/decorator/logic/__init__.py

Kozak24/Patterns

351d5c11f7c64ce5d58db37b6715fc8f7d31945a

[ "MIT" ]

null

structural/decorator/logic/__init__.py

Kozak24/Patterns

351d5c11f7c64ce5d58db37b6715fc8f7d31945a

[ "MIT" ]

null

from .decorator import Decorator from .performance_decorator import PerformanceDecorator from .logger_decorator import LoggerDecorator from .stub import Stub

31.6

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6

fb4217401c788111d1ceb3aa73d96a8bf28c0c2f

40

py

Python

ibis/utility/__init__.py

CIDARLAB/ibis

5108848c1d45326b3c65213b2f8deaa88fd29be6

[ "MIT" ]

1

2021-02-16T23:19:07.000Z

ibis/utility/__init__.py

CIDARLAB/ibis

5108848c1d45326b3c65213b2f8deaa88fd29be6

[ "MIT" ]

1

2021-04-18T13:45:15.000Z

ibis/utility/__init__.py

CIDARLAB/scoring-project

5108848c1d45326b3c65213b2f8deaa88fd29be6

[ "MIT" ]

2

2021-04-27T23:52:06.000Z

2021-07-02T13:44:26.000Z

from .graphing import plot_cell_edgelist

40

0.9

6

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5.666667

1

0

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1

40

0.918919

0

1

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1

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6

fbcc10ef9a2b6ba196c51e1f9a76827b1d380ee3

104

py

Python

src/apps/notes/admin.py

mentalnoteapp/mentalnote-server-graphene

c7ca74488c3bca0e4173cf1c5dffc906cd6ce3e3

[ "MIT" ]

null

src/apps/notes/admin.py

mentalnoteapp/mentalnote-server-graphene

c7ca74488c3bca0e4173cf1c5dffc906cd6ce3e3

[ "MIT" ]

null

src/apps/notes/admin.py

mentalnoteapp/mentalnote-server-graphene

c7ca74488c3bca0e4173cf1c5dffc906cd6ce3e3

[ "MIT" ]

null

from django.contrib import admin from .models import Note admin.site.register(Note, admin.ModelAdmin)

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6

83fa38d4fd943fd9102f3aa41c02f74a3f7da323

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py

Python

unit_tests/view_modify_lon/test_modify_lon.py

LandRegistry/maintain-frontend

d92446a9972ebbcd9a43a7a7444a528aa2f30bf7

[ "MIT" ]

1

2019-10-03T13:58:29.000Z

unit_tests/view_modify_lon/test_modify_lon.py

LandRegistry/maintain-frontend

d92446a9972ebbcd9a43a7a7444a528aa2f30bf7

[ "MIT" ]

null

unit_tests/view_modify_lon/test_modify_lon.py

LandRegistry/maintain-frontend

d92446a9972ebbcd9a43a7a7444a528aa2f30bf7

[ "MIT" ]

1

2021-04-11T05:24:57.000Z

from maintain_frontend import main from flask_testing import TestCase from unit_tests.utilities import Utilities from unittest.mock import patch, MagicMock from flask import url_for from maintain_frontend.dependencies.session_api.session import Session from maintain_frontend.models import LightObstructionNoticeItem from maintain_frontend.constants.permissions import Permissions import datetime from dateutil.relativedelta import relativedelta from unit_tests.mock_data.mock_land_charges import get_mock_lon_item class TestModifyLON(TestCase): def create_app(self): main.app.testing = True Utilities.mock_session_cookie_flask_test(self) return main.app def setUp(self): main.app.config['Testing'] = True main.app.config['WTF_CSRF_ENABLED'] = False @patch('maintain_frontend.view_modify_lon.modify_lon.LocalLandChargeService') def test_modify_lon_upload_get_invalid_id(self, mock_service): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_lon] response = self.client.get(url_for('modify_lon.modify_lon_upload_get', charge_id=123)) self.assert_status(response, 302) @patch('maintain_frontend.view_modify_lon.modify_lon.LocalLandChargeService') def test_modify_lon_upload_cancelled(self, mock_service): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_lon] self.mock_session.return_value.add_lon_charge_state = None mock_item = get_mock_lon_item().copy() mock_item['end-date'] = '2017-01-01' mock_response = MagicMock() mock_response.status_code = 200 mock_response.json.return_value = [{ "item": mock_item, "display_id": "LLC-TST", "cancelled": True }] mock_service.return_value.get_by_charge_number.return_value = mock_response response = self.client.get(url_for('modify_lon.modify_lon_upload_get', charge_id='LLC-TST')) self.assert_redirects(response, '/error') @patch('maintain_frontend.view_modify_lon.modify_lon.LocalLandChargeService') def test_modify_lon_upload_get_found(self, mock_service): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_lon] self.mock_session.return_value.add_lon_charge_state = None mock_response = MagicMock() mock_response.status_code = 200 mock_response.json.return_value = [{ "item": get_mock_lon_item(), "display_id": "LLC-TST", "cancelled": False }] mock_service.return_value.get_by_charge_number.return_value = mock_response response = self.client.get(url_for('modify_lon.modify_lon_upload_get', charge_id='LLC-TST')) self.assert_status(response, 200) @patch('maintain_frontend.view_modify_lon.modify_lon.LocalLandChargeService') def test_modify_lon_upload_get_not_found(self, mock_service): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_lon] self.mock_session.return_value.add_lon_charge_state = None mock_response = MagicMock() mock_response.status_code = 404 mock_service.return_value.get_by_charge_number.return_value = mock_response response = self.client.get(url_for('modify_lon.modify_lon_upload_get', charge_id='LLC-TST')) self.assert_status(response, 302) @patch('maintain_frontend.view_modify_lon.modify_lon.LocalLandChargeService') def test_modify_lon_redirect_when_different_id_in_session(self, mock_service): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_lon] state = LightObstructionNoticeItem.from_json(get_mock_lon_item()) self.mock_session.return_value.add_lon_charge_state = state response = self.client.get(url_for('modify_lon.modify_lon_upload_get', charge_id=3)) self.assert_status(response, 302) @patch('maintain_frontend.view_modify_lon.modify_lon.VaryLonValidator') @patch('maintain_frontend.view_modify_lon.modify_lon.LocalLandChargeService') def test_upload_lon_documents_no_select(self, mock_service, mock_validator): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_lon] mock_response = MagicMock() mock_response.status_code = 200 mock_response.json.return_value = [{"item": get_mock_lon_item(), "display_id": "LLC-TST", "cancelled": False}] mock_service.return_value.get_by_charge_number.return_value = mock_response mock_validator.validate.return_value.errors = {'vary-lon-options': ['Choose one']} response = self.client.post(url_for('modify_lon.modify_lon_upload_post', charge_id="LLC-TST")) self.assert_context('validation_errors', {'vary-lon-options': ['Choose one']}) self.assert_status(response, 400) self.assert_template_used('modify_lon_upload.html') @patch('maintain_frontend.view_modify_lon.modify_lon.handle_vary_lon_options_choice') @patch('maintain_frontend.view_modify_lon.modify_lon.VaryLonValidator') @patch('maintain_frontend.view_modify_lon.modify_lon.LocalLandChargeService') def test_upload_lon_documents_no_errors(self, mock_service, mock_validator, mock_handle_options): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_lon] mock_response = MagicMock() mock_response.status_code = 200 mock_response.json.return_value = [{"item": get_mock_lon_item(), "display_id": "LLC-TST", "cancelled": False}] mock_service.return_value.get_by_charge_number.return_value = mock_response mock_validator.validate.return_value.errors = None response = self.client.post(url_for('modify_lon.modify_lon_upload_post', charge_id="LLC-TST")) self.assert_status(response, 302) self.assertRedirects(response, url_for('modify_lon.modify_lon_details_get', charge_id="LLC-TST")) @patch('maintain_frontend.view_modify_lon.modify_lon.request') @patch('maintain_frontend.view_modify_lon.modify_lon.VaryLonValidator') @patch('maintain_frontend.view_modify_lon.modify_lon.StorageAPIService') @patch('maintain_frontend.view_modify_lon.modify_lon.LocalLandChargeService') def test_upload_definitive_certificate_fields(self, mock_service, mock_storage_service, mock_validator, mock_request): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_lon] state = LightObstructionNoticeItem() self.mock_session.return_value.add_lon_charge_state = state self.mock_session.return_value.edited_fields = {} expected_expiry_date = datetime.date.today() + relativedelta(years=+21) expected_definitive_date = datetime.date(1, 1, 1) mock_response = MagicMock() mock_response.status_code = 200 mock_response.json.return_value = [{"item": get_mock_lon_item(), "display_id": "LLC-TST", "cancelled": False}] mock_service.return_value.get_by_charge_number.return_value = mock_response mock_validator.validate.return_value.errors = None mock_request.form.getlist.return_value = ["Definitive Certificate"] mock_request.form.get('definitive_cert_day').return_value = 1 mock_request.form.get('definitive_cert_month').return_value = 1 mock_request.form.get('definitive_cert_year').return_value = 1 mock_request.files.get('definitive-certificate-file-input').return_value = True response = self.client.post(url_for('modify_lon.modify_lon_upload_post', charge_id="LLC-TST")) self.assertEqual(self.mock_session.return_value.add_lon_charge_state.expiry_date, expected_expiry_date) self.assertEqual(self.mock_session.return_value.add_lon_charge_state.tribunal_definitive_certificate_date, expected_definitive_date) self.assertEqual(self.mock_session.return_value.edited_fields['tribunal-definitive-certificate-date'], "Tribunal definitive certificate date") self.assertEqual(self.mock_session.return_value.edited_fields['expiry-date'], "Expiry date") self.assert_status(response, 302) self.assertRedirects(response, url_for('modify_lon.modify_lon_details_get', charge_id="LLC-TST")) @patch('maintain_frontend.view_modify_lon.modify_lon.request') @patch('maintain_frontend.view_modify_lon.modify_lon.LocalLandChargeService') def test_vary_lon_validator_no_option_selected(self, mock_service, mock_request): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_lon] self.mock_session.return_value.edited_fields = {} mock_response = MagicMock() mock_response.status_code = 200 mock_response.json.return_value = [{"item": get_mock_lon_item(), "display_id": "LLC-TST", "cancelled": False}] mock_service.return_value.get_by_charge_number.return_value = mock_response mock_request.form.getlist.return_value = [] response = self.client.post(url_for('modify_lon.modify_lon_upload_post', charge_id="LLC-TST")) context_validation_error = self.get_context_variable('validation_errors') self.assert_status(response, 400) self.assertIsNotNone(context_validation_error["vary-lon-options"]) self.assertEqual(context_validation_error["vary-lon-options"].inline_message, "Choose one option") @patch('maintain_frontend.view_modify_lon.modify_lon.request') @patch('maintain_frontend.view_modify_lon.modify_lon.LocalLandChargeService') def test_vary_lon_validator_required_fields_definitive_certificate(self, mock_service, mock_request): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_lon] self.mock_session.return_value.edited_fields = {} mock_response = MagicMock() mock_response.status_code = 200 mock_response.json.return_value = [{"item": get_mock_lon_item(), "display_id": "LLC-TST", "cancelled": False}] mock_service.return_value.get_by_charge_number.return_value = mock_response mock_request.form.getlist.return_value = ["Definitive Certificate"] mock_request.form.get.return_value = "" mock_request.files.get.return_value = None response = self.client.post(url_for('modify_lon.modify_lon_upload_post', charge_id="LLC-TST")) context_validation_error = self.get_context_variable('validation_errors') self.assert_status(response, 400) self.assertIsNotNone(context_validation_error["tribunal_definitive_certificate_date"]) self.assertEqual(context_validation_error["tribunal_definitive_certificate_date"].inline_message, "Check that the date is in Day/Month/Year format") self.assertIsNotNone(context_validation_error["definitive-certificate-file-input"]) self.assertEqual(context_validation_error["definitive-certificate-file-input"].inline_message, "Upload a document for Definitive Certificate") @patch('maintain_frontend.view_modify_lon.modify_lon.request') @patch('maintain_frontend.view_modify_lon.modify_lon.LocalLandChargeService') def test_vary_lon_validator_required_fields_form_b(self, mock_service, mock_request): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_lon] self.mock_session.return_value.edited_fields = {} mock_response = MagicMock() mock_response.status_code = 200 mock_response.json.return_value = [{"item": get_mock_lon_item(), "display_id": "LLC-TST", "cancelled": False}] mock_service.return_value.get_by_charge_number.return_value = mock_response mock_request.form.getlist.return_value = ["Form B"] mock_request.files.get.return_value = None response = self.client.post(url_for('modify_lon.modify_lon_upload_post', charge_id="LLC-TST")) context_validation_error = self.get_context_variable('validation_errors') self.assert_status(response, 400) self.assertIsNotNone(context_validation_error["form-b-file-input"]) self.assertEqual(context_validation_error["form-b-file-input"].inline_message, "Upload a document for Form B") @patch('maintain_frontend.view_modify_lon.modify_lon.request') @patch('maintain_frontend.view_modify_lon.modify_lon.LocalLandChargeService') def test_vary_lon_validator_required_fields_court_order(self, mock_service, mock_request): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_lon] self.mock_session.return_value.edited_fields = {} mock_response = MagicMock() mock_response.status_code = 200 mock_response.json.return_value = [{"item": get_mock_lon_item(), "display_id": "LLC-TST", "cancelled": False}] mock_service.return_value.get_by_charge_number.return_value = mock_response mock_request.form.getlist.return_value = ["Court Order"] mock_request.files.get.return_value = None response = self.client.post(url_for('modify_lon.modify_lon_upload_post', charge_id="LLC-TST")) context_validation_error = self.get_context_variable('validation_errors') self.assert_status(response, 400) self.assertIsNotNone(context_validation_error["court-order-file-input"]) self.assertEqual(context_validation_error["court-order-file-input"].inline_message, "Upload a document for Court Order")

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f7b5c22683ce914553be6f051c4779e19164439c

141

py

Python

myapp/oauth2_client.py

yoophi/flask-google-login-example

57cbbcbd054a6ba47c2a492950bf500b6b595b7d

[ "MIT" ]

null

myapp/oauth2_client.py

yoophi/flask-google-login-example

57cbbcbd054a6ba47c2a492950bf500b6b595b7d

[ "MIT" ]

null

myapp/oauth2_client.py

yoophi/flask-google-login-example

57cbbcbd054a6ba47c2a492950bf500b6b595b7d

[ "MIT" ]

null

from oauthlib.oauth2 import WebApplicationClient from myapp.config import GOOGLE_CLIENT_ID client = WebApplicationClient(GOOGLE_CLIENT_ID)

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py

Python

ProcessingTools/__init__.py

ysy9997/functions

6de8db376fe15156c7ed02224c0cbf54cecc3e71

[ "MIT" ]

2

2021-05-13T07:54:37.000Z

2022-03-24T01:40:56.000Z

ProcessingTools/__init__.py

ysy9997/functions

6de8db376fe15156c7ed02224c0cbf54cecc3e71

[ "MIT" ]

null

ProcessingTools/__init__.py

ysy9997/functions

6de8db376fe15156c7ed02224c0cbf54cecc3e71

[ "MIT" ]

null

from ProcessingTools.functions import * from ProcessingTools.PrgressBar import *

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6

f707de5d7baf6c48523186021b7d2ca01cdbe868

220

py

Python

tflib/__init__.py

nguyenquangduc2000/AttGAN

2ba96d1a1f80b39cc785c594ad8e1d800c06dd52

[ "MIT" ]

405

2019-04-17T03:02:18.000Z

2022-03-11T06:36:00.000Z

tflib/__init__.py

nguyenquangduc2000/AttGAN

2ba96d1a1f80b39cc785c594ad8e1d800c06dd52

[ "MIT" ]

58

2019-05-13T09:34:57.000Z

2021-12-07T08:40:58.000Z

tflib/__init__.py

nguyenquangduc2000/AttGAN

2ba96d1a1f80b39cc785c594ad8e1d800c06dd52

[ "MIT" ]

95

2019-04-20T02:32:32.000Z

2022-03-07T03:58:24.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function from tflib.checkpoint import * from tflib.ops import * from tflib.utils import * from tflib.variable import *

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6

f70d2c13b10c9d61592c4394147f47c2b83b8834

873

py

Python

src/ControlManager.py

NEKERAFA/Soul-Tower

d37c0bf6bcbf253ec5b2c41f802adeeca31fb384

[ "MIT" ]

null

src/ControlManager.py

NEKERAFA/Soul-Tower

d37c0bf6bcbf253ec5b2c41f802adeeca31fb384

[ "MIT" ]

null

src/ControlManager.py

NEKERAFA/Soul-Tower

d37c0bf6bcbf253ec5b2c41f802adeeca31fb384

[ "MIT" ]

null

import pygame class ControlManager(object): @classmethod def up(cls): raise NotImplementedError('Error: Abstract class') @classmethod def down(cls): raise NotImplementedError('Error: Abstract class') @classmethod def left(cls): raise NotImplementedError('Error: Abstract class') @classmethod def right(cls): raise NotImplementedError('Error: Abstract class') @classmethod def angle(cls, pos): raise NotImplementedError('Error: Abstract class') @classmethod def prim_button(cls): raise NotImplementedError('Error: Abstract class') @classmethod def sec_button(cls): raise NotImplementedError('Error: Abstract class') @classmethod def select_button(cls): raise NotImplementedError('Error: Abstract class')

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f711d5c3ee19c95b26ff713f3e6d532c9a88b33a

109

py

Python

python/karps/__init__.py

tjhunter/karps

7c74c3bf5b566264d6fed6e17fb1716216467a50

[ "Apache-2.0" ]

5

2017-10-25T10:53:47.000Z

2019-01-12T19:32:36.000Z

python/karps/__init__.py

tjhunter/karps

7c74c3bf5b566264d6fed6e17fb1716216467a50

[ "Apache-2.0" ]

15

2017-06-22T20:53:50.000Z

2017-10-22T00:47:00.000Z

python/karps/__init__.py

tjhunter/karps

7c74c3bf5b566264d6fed6e17fb1716216467a50

[ "Apache-2.0" ]

1

2018-08-23T04:25:57.000Z

from .types import * from .row import * from .column import * from .utils import scope from .session import *

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321

py

Python

oms/__init__.py

alphamatic/amp

5018137097159415c10eaa659a2e0de8c4e403d4

[ "BSD-3-Clause" ]

5

2021-08-10T23:16:44.000Z

2022-03-17T17:27:00.000Z

oms/__init__.py

alphamatic/amp

5018137097159415c10eaa659a2e0de8c4e403d4

[ "BSD-3-Clause" ]

330

2021-06-10T17:28:22.000Z

2022-03-31T00:55:48.000Z

oms/__init__.py

alphamatic/amp

5018137097159415c10eaa659a2e0de8c4e403d4

[ "BSD-3-Clause" ]

6

2021-06-10T17:20:32.000Z

2022-03-28T08:08:03.000Z

""" Import as: import oms as oms """ from oms.oms_db import * # pylint: disable=unused-import # NOQA from oms.order_processor import * # pylint: disable=unused-import # NOQA from oms.portfolio import * # pylint: disable=unused-import # NOQA from oms.portfolio_example import * # pylint: disable=unused-import # NOQA

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f748b3735fe3bcb7905fab7c85053e6d978932b1

72

py

Python

conan/tools/meson/__init__.py

ssaavedra/conan

e15dc7902fbbeaf469798a3b9948ead1ecfc8e3c

[ "MIT" ]

1

2021-08-05T15:33:08.000Z

conan/tools/meson/__init__.py

ssaavedra/conan

e15dc7902fbbeaf469798a3b9948ead1ecfc8e3c

[ "MIT" ]

null

conan/tools/meson/__init__.py

ssaavedra/conan

e15dc7902fbbeaf469798a3b9948ead1ecfc8e3c

[ "MIT" ]

null

# noinspection PyUnresolvedReferences from .meson import MesonToolchain

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6

f788b064b0a64252133f96ae87b1a8b56d17679a

15,176

py

Python

tests/unit-tests/test_sphinx_toctree.py

BenGale93/confluencebuilder

93556f974ac482a8d21e95a686fee397d35ed7cd

[ "BSD-2-Clause" ]

null

tests/unit-tests/test_sphinx_toctree.py

BenGale93/confluencebuilder

93556f974ac482a8d21e95a686fee397d35ed7cd

[ "BSD-2-Clause" ]

null

tests/unit-tests/test_sphinx_toctree.py

BenGale93/confluencebuilder

93556f974ac482a8d21e95a686fee397d35ed7cd

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- """ :copyright: Copyright 2016-2021 Sphinx Confluence Builder Contributors (AUTHORS) :license: BSD-2-Clause (LICENSE) """ from tests.lib import build_sphinx from tests.lib import parse from tests.lib import prepare_conf import os import unittest class TestConfluenceSphinxToctree(unittest.TestCase): @classmethod def setUpClass(cls): cls.config = prepare_conf() cls.test_dir = os.path.dirname(os.path.realpath(__file__)) def test_storage_sphinx_toctree_caption(self): dataset = os.path.join(self.test_dir, 'datasets', 'toctree-caption') out_dir = build_sphinx(dataset, config=self.config) with parse('index', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) caption = root_toc.findPrevious() self.assertIsNotNone(caption) self.assertEqual(caption.text, 'toctree caption') def test_storage_sphinx_toctree_child_macro(self): dataset = os.path.join(self.test_dir, 'datasets', 'toctree-default') config = dict(self.config) config['confluence_adv_hierarchy_child_macro'] = True config['confluence_page_hierarchy'] = True # relax due to this test (confluence_adv_hierarchy_child_macro) being # deprecated out_dir = build_sphinx(dataset, config=config, relax=True) with parse('index', out_dir) as data: macro = data.find('ac:structured-macro', recursive=False) self.assertIsNotNone(macro) self.assertTrue(macro.has_attr('ac:name')) self.assertEqual(macro['ac:name'], 'children') all_param = macro.find('ac:parameter', recursive=False) self.assertIsNotNone(all_param) self.assertTrue(all_param.has_attr('ac:name')) self.assertEqual(all_param['ac:name'], 'all') self.assertEqual(all_param.text, 'true') def test_storage_sphinx_toctree_default(self): dataset = os.path.join(self.test_dir, 'datasets', 'toctree-default') out_dir = build_sphinx(dataset, config=self.config) with parse('index', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) primary_docs = root_toc.findChildren('li', recursive=False) self.assertEqual(len(primary_docs), 2) # document-a group group = primary_docs[0] self._verify_link(group, 'doc-a') group_docs = group.find('ul', recursive=False) self.assertIsNotNone(group_docs) sub_docs = group_docs.findChildren('li', recursive=False) self.assertIsNotNone(sub_docs) self.assertEqual(len(sub_docs), 2) self._verify_link(sub_docs[0], 'doc-a1') self._verify_link(sub_docs[1], 'doc-a2') # document-b group group = primary_docs[1] self._verify_link(group, 'doc-b') subheader_group = group.find('ul', recursive=False) self.assertIsNotNone(subheader_group) subheader = subheader_group.find('li', recursive=False) self.assertIsNotNone(subheader) self._verify_link(subheader, 'doc-b', label='subheader', anchor='subheader') final_group = subheader.find('ul', recursive=False) self.assertIsNotNone(final_group) sub_docs = final_group.findChildren('li', recursive=False) self.assertIsNotNone(sub_docs) self.assertEqual(len(sub_docs), 1) self._verify_link(sub_docs[0], 'doc-b1') def test_storage_sphinx_toctree_hidden(self): dataset = os.path.join(self.test_dir, 'datasets', 'toctree-hidden') out_dir = build_sphinx(dataset, config=self.config) with parse('index', out_dir) as data: # expect no content with a hidden toctree self.assertEqual(data.text, '') def test_storage_sphinx_toctree_maxdepth(self): dataset = os.path.join(self.test_dir, 'datasets', 'toctree-maxdepth') out_dir = build_sphinx(dataset, config=self.config) with parse('index', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) docs = root_toc.findChildren('li', recursive=False) self.assertIsNotNone(docs) self.assertEqual(len(docs), 1) doc = docs[0] doc_tags = doc.findChildren(recursive=False) self.assertIsNotNone(doc_tags) self.assertEqual(len(doc_tags), 1) # no other links beyond depth self._verify_link(doc, 'doc') def test_storage_sphinx_toctree_numbered_default(self): dataset = os.path.join(self.test_dir, 'datasets', 'toctree-numbered') out_dir = build_sphinx(dataset, config=self.config) with parse('index', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) docs = root_toc.findChildren('li', recursive=False) self.assertIsNotNone(docs) self.assertEqual(len(docs), 4) group = docs.pop(0) self._verify_link(group, '1. doc') group_docs = group.find('ul', recursive=False) self.assertIsNotNone(group_docs) sub_docs = group_docs.findChildren('li', recursive=False) self.assertIsNotNone(sub_docs) self.assertEqual(len(sub_docs), 1) self._verify_link(sub_docs[0], '1.1. child') group = docs.pop(0) self._verify_link(group, '1. doc', label='2. section with spaces') group = docs.pop(0) self._verify_link(group, '1. doc', label='3. section_with_underscores') group = docs.pop(0) self._verify_link(group, '1. doc', label='4. section with a large name - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae volutpat ipsum, quis sodales eros. Aenean quis nunc quis leo aliquam gravida. Fusce accumsan nibh vitae enim ullamcorper iaculis. Duis eget augue dolor. Curabitur at enim elit. Nullam luctus mollis magna. Pellentesque pellentesque, leo quis suscipit finibus, diam justo convallis.') with parse('doc', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) docs = root_toc.findChildren('li', recursive=False) self.assertIsNotNone(docs) self.assertEqual(len(docs), 1) doc = docs[0] self._verify_link(doc, '1.1. child') def test_storage_sphinx_toctree_numbered_depth(self): dataset = os.path.join(self.test_dir, 'datasets', 'toctree-numbered-depth') out_dir = build_sphinx(dataset, config=self.config) with parse('index', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) docs = root_toc.findChildren('li', recursive=False) self.assertIsNotNone(docs) self.assertEqual(len(docs), 1) group = docs[0] self._verify_link(group, '1. doc') group_docs = group.find('ul', recursive=False) self.assertIsNotNone(group_docs) sub_docs = group_docs.findChildren('li', recursive=False) self.assertIsNotNone(sub_docs) self.assertEqual(len(sub_docs), 1) self._verify_link(sub_docs[0], 'child') with parse('doc', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) docs = root_toc.findChildren('li', recursive=False) self.assertIsNotNone(docs) self.assertEqual(len(docs), 1) doc = docs[0] self._verify_link(doc, 'child') def test_storage_sphinx_toctree_numbered_disable(self): dataset = os.path.join(self.test_dir, 'datasets', 'toctree-numbered') config = dict(self.config) config['confluence_add_secnumbers'] = False out_dir = build_sphinx(dataset, config=config) with parse('index', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) docs = root_toc.findChildren('li', recursive=False) self.assertIsNotNone(docs) self.assertEqual(len(docs), 4) group = docs.pop(0) self._verify_link(group, 'doc') group_docs = group.find('ul', recursive=False) self.assertIsNotNone(group_docs) sub_docs = group_docs.findChildren('li', recursive=False) self.assertIsNotNone(sub_docs) self.assertEqual(len(sub_docs), 1) self._verify_link(sub_docs[0], 'child') group = docs.pop(0) self._verify_link(group, 'doc', label='section with spaces') group = docs.pop(0) self._verify_link(group, 'doc', label='section_with_underscores') group = docs.pop(0) self._verify_link(group, 'doc', label='section with a large name - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae volutpat ipsum, quis sodales eros. Aenean quis nunc quis leo aliquam gravida. Fusce accumsan nibh vitae enim ullamcorper iaculis. Duis eget augue dolor. Curabitur at enim elit. Nullam luctus mollis magna. Pellentesque pellentesque, leo quis suscipit finibus, diam justo convallis.') with parse('doc', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) docs = root_toc.findChildren('li', recursive=False) self.assertIsNotNone(docs) self.assertEqual(len(docs), 1) doc = docs[0] self._verify_link(doc, 'child') def test_storage_sphinx_toctree_numbered_secnumbers_suffix_empty(self): """validate toctree secnumber supports empty str (storage)""" # # Ensure that the toctree secnumber suffix value can be set to an # empty string. dataset = os.path.join(self.test_dir, 'datasets', 'toctree-numbered') config = dict(self.config) config['confluence_secnumber_suffix'] = '' out_dir = build_sphinx(dataset, config=config) with parse('index', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) docs = root_toc.findChildren('li', recursive=False) self.assertIsNotNone(docs) self.assertEqual(len(docs), 4) group = docs.pop(0) self._verify_link(group, '1doc') group_docs = group.find('ul', recursive=False) self.assertIsNotNone(group_docs) sub_docs = group_docs.findChildren('li', recursive=False) self.assertIsNotNone(sub_docs) self.assertEqual(len(sub_docs), 1) self._verify_link(sub_docs[0], '1.1child') group = docs.pop(0) self._verify_link(group, '1doc', label='2section with spaces') group = docs.pop(0) self._verify_link(group, '1doc', label='3section_with_underscores') group = docs.pop(0) self._verify_link(group, '1doc', label='4section with a large name - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae volutpat ipsum, quis sodales eros. Aenean quis nunc quis leo aliquam gravida. Fusce accumsan nibh vitae enim ullamcorper iaculis. Duis eget augue dolor. Curabitur at enim elit. Nullam luctus mollis magna. Pellentesque pellentesque, leo quis suscipit finibus, diam justo convallis.') with parse('doc', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) docs = root_toc.findChildren('li', recursive=False) self.assertIsNotNone(docs) self.assertEqual(len(docs), 1) doc = docs[0] self._verify_link(doc, '1.1child') def test_storage_sphinx_toctree_numbered_secnumbers_suffix_set(self): dataset = os.path.join(self.test_dir, 'datasets', 'toctree-numbered') config = dict(self.config) config['confluence_secnumber_suffix'] = '!Z /+4' out_dir = build_sphinx(dataset, config=config) with parse('index', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) docs = root_toc.findChildren('li', recursive=False) self.assertIsNotNone(docs) self.assertEqual(len(docs), 4) group = docs.pop(0) self._verify_link(group, '1!Z /+4doc') group_docs = group.find('ul', recursive=False) self.assertIsNotNone(group_docs) sub_docs = group_docs.findChildren('li', recursive=False) self.assertIsNotNone(sub_docs) self.assertEqual(len(sub_docs), 1) self._verify_link(sub_docs[0], '1.1!Z /+4child') group = docs.pop(0) self._verify_link(group, '1!Z /+4doc', label='2!Z /+4section with spaces') group = docs.pop(0) self._verify_link(group, '1!Z /+4doc', label='3!Z /+4section_with_underscores') group = docs.pop(0) self._verify_link(group, '1!Z /+4doc', label='4!Z /+4section with a large name - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent vitae volutpat ipsum, quis sodales eros. Aenean quis nunc quis leo aliquam gravida. Fusce accumsan nibh vitae enim ullamcorper iaculis. Duis eget augue dolor. Curabitur at enim elit. Nullam luctus mollis magna. Pellentesque pellentesque, leo quis suscipit finibus, diam justo convallis.') with parse('doc', out_dir) as data: root_toc = data.find('ul', recursive=False) self.assertIsNotNone(root_toc) docs = root_toc.findChildren('li', recursive=False) self.assertIsNotNone(docs) self.assertEqual(len(docs), 1) doc = docs[0] self._verify_link(doc, '1.1!Z /+4child') def _verify_link(self, entity, title, label=None, anchor=None): label = label if label else title ac_link = entity.find('ac:link', recursive=False) self.assertIsNotNone(ac_link) if anchor: self.assertTrue(ac_link.has_attr('ac:anchor')) self.assertEqual(ac_link['ac:anchor'], anchor) page_ref = ac_link.find('ri:page', recursive=False) self.assertIsNotNone(page_ref) self.assertTrue(page_ref.has_attr('ri:content-title')) self.assertEqual(page_ref['ri:content-title'], title) link_body = ac_link.find('ac:link-body', recursive=False) self.assertIsNotNone(link_body) self.assertEqual(link_body.text, label)

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null

0

6

e39d2613b09a4410d0b2618e9ad4fb617fbd78e6

107

py

Python

tests/test_refwebapp.py

pshchelo/refwebapp

101598a71376dcba72248b458f8f1b24a82adf66

[ "MIT" ]

null

tests/test_refwebapp.py

pshchelo/refwebapp

101598a71376dcba72248b458f8f1b24a82adf66

[ "MIT" ]

null

tests/test_refwebapp.py

pshchelo/refwebapp

101598a71376dcba72248b458f8f1b24a82adf66

[ "MIT" ]

null

from refwebapp import version def test_version(): assert version.version_info.package == "refwebapp"

17.833333

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0.766355

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107

6.153846

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6

e3c31d621b7edcb4e90a16a57bfdcd796142e7fc

1,339

py

Python

resources/panels/seeds/planet romance_adjective.py

exposit/pythia-oracle

60e4e806c9ed1627f2649822ab1901d28933daac

[ "MIT" ]

32

2016-08-27T01:31:42.000Z

2022-03-21T08:59:28.000Z

resources/panels/seeds/planet romance_adjective.py

exposit/pythia-oracle

60e4e806c9ed1627f2649822ab1901d28933daac

[ "MIT" ]

3

2016-08-27T00:51:47.000Z

2019-08-26T13:23:04.000Z

resources/panels/seeds/planet romance_adjective.py

exposit/pythia-oracle

60e4e806c9ed1627f2649822ab1901d28933daac

[ "MIT" ]

10

2016-08-28T14:14:41.000Z

2021-03-18T03:24:22.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # Princess of Mars chart = ["additional", "adjoined", "advanced", "afraid", "agreeable", "anxious", "awful", "baffled", "baleful", "bloodthirsty", "busy", "clever", "concerned", "congenial", "considerable", "continual", "correct", "deep", "delicious", "deserted", "desperate", "devoid", "dilated", "discernible", "distant", "entangled", "eternal", "fair", "fertile", "filial", "foolish", "formidable", "forward", "frenzied", "frightened", "full", "full-fledged", "happy", "harmless", "hated", "headfirst", "hereditary", "highest", "ice-clad", "identical", "important", "inaccessible", "ineffectual", "innumerable", "large", "late", "lesser", "long-extinct", "lost", "loud", "married", "mechanical", "mental", "mightiest", "moon-haunted", "mossy", "mutual", "natural", "naval", "new-found", "ornamental", "perpendicular", "pitiful", "possible", "precious", "proficient", "ragged", "resourceful", "respectable", "responsible", "richest", "rocky", "ruined", "selfish", "enshrined", "smooth", "snowiest", "startled", "strangest", "striking", "sufficient", "superhuman", "surest", "symmetrical", "tense", "tenuous", "penetrating", "tiny", "titanic", "tractable", "uncanny", "undisguised", "undue", "unfailing", "unnecessary", "vast", "vouchsafed", "wicked-looking", "wildest", "worship", "wrong"],

267.8

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null

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0

1

0

6

54117b9e3cd3d33ec7f78578d17275f6523a45c8

4,530

py

Python

tests/py/test_multi_gpu.py

p1x31/TRTorch

f99a6ca763eb08982e8b7172eb948a090bcbf11c

[ "BSD-3-Clause" ]

944

2020-03-13T22:50:32.000Z

2021-11-09T05:39:28.000Z

tests/py/test_multi_gpu.py

p1x31/TRTorch

f99a6ca763eb08982e8b7172eb948a090bcbf11c

[ "BSD-3-Clause" ]

434

2020-03-18T03:00:29.000Z

2021-11-09T00:26:36.000Z

tests/py/test_multi_gpu.py

p1x31/TRTorch

f99a6ca763eb08982e8b7172eb948a090bcbf11c

[ "BSD-3-Clause" ]

106

2020-03-18T02:20:21.000Z

2021-11-08T18:58:58.000Z

import unittest import trtorch import torch import torchvision.models as models from model_test_case import ModelTestCase class TestMultiGpuSwitching(ModelTestCase): def setUp(self): if torch.cuda.device_count() < 2: self.fail("Test is not relevant for this platform since number of available CUDA devices is less than 2") trtorch.set_device(0) self.target_gpu = 1 self.input = torch.randn((1, 3, 224, 224)).to("cuda:1") self.model = self.model.to("cuda:1") self.traced_model = torch.jit.trace(self.model, [self.input]) self.scripted_model = torch.jit.script(self.model) def test_compile_traced(self): trtorch.set_device(0) compile_spec = { "inputs": [trtorch.Input(self.input.shape)], "device": { "device_type": trtorch.DeviceType.GPU, "gpu_id": self.target_gpu, "dla_core": 0, "allow_gpu_fallback": False, "disable_tf32": False } } trt_mod = trtorch.compile(self.traced_model, **compile_spec) trtorch.set_device(self.target_gpu) same = (trt_mod(self.input) - self.traced_model(self.input)).abs().max() trtorch.set_device(0) self.assertTrue(same < 2e-3) def test_compile_script(self): trtorch.set_device(0) compile_spec = { "inputs": [trtorch.Input(self.input.shape)], "device": { "device_type": trtorch.DeviceType.GPU, "gpu_id": self.target_gpu, "dla_core": 0, "allow_gpu_fallback": False, "disable_tf32": False } } trt_mod = trtorch.compile(self.scripted_model, **compile_spec) trtorch.set_device(self.target_gpu) same = (trt_mod(self.input) - self.scripted_model(self.input)).abs().max() trtorch.set_device(0) self.assertTrue(same < 2e-3) class TestMultiGpuSerializeDeserializeSwitching(ModelTestCase): def setUp(self): if torch.cuda.device_count() < 2: self.fail("Test is not relevant for this platform since number of available CUDA devices is less than 2") self.target_gpu = 0 trtorch.set_device(0) self.input = torch.randn((1, 3, 224, 224)).to("cuda:0") self.model = self.model.to("cuda:0") self.traced_model = torch.jit.trace(self.model, [self.input]) self.scripted_model = torch.jit.script(self.model) def test_compile_traced(self): trtorch.set_device(0) compile_spec = { "inputs": [trtorch.Input(self.input.shape)], "device": { "device_type": trtorch.DeviceType.GPU, "gpu_id": self.target_gpu, "dla_core": 0, "allow_gpu_fallback": False, "disable_tf32": False } } trt_mod = trtorch.compile(self.traced_model, **compile_spec) # Changing the device ID deliberately. It should still run on correct device ID by context switching trtorch.set_device(1) same = (trt_mod(self.input) - self.traced_model(self.input)).abs().max() self.assertTrue(same < 2e-3) def test_compile_script(self): trtorch.set_device(0) compile_spec = { "inputs": [trtorch.Input(self.input.shape)], "device": { "device_type": trtorch.DeviceType.GPU, "gpu_id": self.target_gpu, "dla_core": 0, "allow_gpu_fallback": False, "disable_tf32": False } } trt_mod = trtorch.compile(self.scripted_model, **compile_spec) # Changing the device ID deliberately. It should still run on correct device ID by context switching trtorch.set_device(1) same = (trt_mod(self.input) - self.scripted_model(self.input)).abs().max() self.assertTrue(same < 2e-3) def test_suite(): suite = unittest.TestSuite() suite.addTest(TestMultiGpuSwitching.parametrize(TestMultiGpuSwitching, model=models.resnet18(pretrained=True))) suite.addTest( TestMultiGpuSerializeDeserializeSwitching.parametrize(TestMultiGpuSwitching, model=models.resnet18(pretrained=True))) return suite suite = test_suite() runner = unittest.TextTestRunner() result = runner.run(suite) exit(int(not result.wasSuccessful()))

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35.390625

0.796725

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false

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0

0.147059

0

null

0

1

0

null

0

6

541d78494e019792ed09ebd061ab1af3d2c34747

5,620

py

Python

tests/conftest.py

0x7d7b/flask-oauth2-validation

ee433ad692e734adeb4dfe0b5fb408704d253706

[ "MIT" ]

null

tests/conftest.py

0x7d7b/flask-oauth2-validation

ee433ad692e734adeb4dfe0b5fb408704d253706

[ "MIT" ]

null

tests/conftest.py

0x7d7b/flask-oauth2-validation

ee433ad692e734adeb4dfe0b5fb408704d253706

[ "MIT" ]

null

from flask import Flask import pytest import requests_mock from functional import test_jwk @pytest.fixture(scope='function') def test_app(): with requests_mock.Mocker() as mock: _register_mock_addresses(mock) yield _create_flask_app() def _create_flask_app(): app = Flask(__name__) app.config['TESTING'] = True return app def _register_mock_addresses( mock: requests_mock.Mocker ): mock.get( 'https://unsupported.issuer.local/oauth2' + '/.well-known/oauth-authorization-server', status_code=404 ) mock.get( 'https://missing_jwks.issuer.local/oauth2' + '/.well-known/oauth-authorization-server', json={ 'introspection_endpoint': 'https://issuer.local/oauth2/introspect', 'introspection_endpoint_auth_methods_supported': [ 'client_secret_basic', 'client_secret_post' ] } ) mock.get( 'https://missing_introspection.issuer.local/oauth2' + '/.well-known/oauth-authorization-server', json={ 'jwks_uri': 'https://issuer.local/oauth2/keys', 'introspection_endpoint_auth_methods_supported': [ 'client_secret_basic', 'client_secret_post' ] } ) mock.get( 'https://missing_introspection_auth.issuer.local/oauth2' + '/.well-known/oauth-authorization-server', json={ 'jwks_uri': 'https://issuer.local/oauth2/keys', 'introspection_endpoint': 'https://issuer.local/oauth2/introspect', } ) mock.get( 'https://issuer.local/oauth2' + '/.well-known/oauth-authorization-server', json={ 'jwks_uri': 'https://issuer.local/oauth2/keys', 'introspection_endpoint': 'https://issuer.local/oauth2/introspect', 'introspection_endpoint_auth_methods_supported': [ 'client_secret_basic', 'client_secret_post' ] } ) mock.get( 'https://basic_introspection.issuer.local/oauth2' + '/.well-known/oauth-authorization-server', json={ 'jwks_uri': 'https://issuer.local/oauth2/keys', 'introspection_endpoint': 'https://basic_introspection.issuer.local/oauth2/introspect', 'introspection_endpoint_auth_methods_supported': [ 'client_secret_basic' ] } ) mock.get( 'https://issuer.local/oauth2/keys', json={ 'keys': [ {'kid': 'x'}, test_jwk, {'kid': 'z'} ] } ) mock.get( 'https://key_lookup_error.issuer.local/oauth2' + '/.well-known/oauth-authorization-server', json={ 'jwks_uri': 'https://key_lookup_error.issuer.local/oauth2/keys', } ) mock.get( 'https://key_lookup_error.issuer.local/oauth2/keys', status_code=500 ) mock.get( 'https://invalid_introspection.issuer.local/oauth2' + '/.well-known/oauth-authorization-server', json={ 'jwks_uri': 'https://issuer.local/oauth2/keys', 'introspection_endpoint': 'https://invalid_introspection.issuer.local/oauth2/introspect', 'introspection_endpoint_auth_methods_supported': [ 'client_secret_basic', 'client_secret_post' ] } ) mock.post( 'https://invalid_introspection.issuer.local/oauth2/introspect', json={ 'active': False } ) mock.post( 'https://issuer.local/oauth2/introspect', json={ 'active': True } ) mock.post( 'https://basic_introspection.issuer.local/oauth2/introspect', json={ 'active': True } ) mock.get( 'https://introspection_error.issuer.local/oauth2' + '/.well-known/oauth-authorization-server', json={ 'jwks_uri': 'https://issuer.local/oauth2/keys', 'introspection_endpoint': 'https://introspection_error.issuer.local/oauth2/introspect', 'introspection_endpoint_auth_methods_supported': [ 'client_secret_basic', 'client_secret_post' ] } ) mock.post( 'https://introspection_error.issuer.local/oauth2/introspect', status_code=500 ) mock.get( 'https://unknown_auth.issuer.local/oauth2' + '/.well-known/oauth-authorization-server', json={ 'jwks_uri': 'https://issuer.local/oauth2/keys', 'introspection_endpoint': 'https://unknown_auth.issuer.local/oauth2/introspect', 'introspection_endpoint_auth_methods_supported': [ 'client_secret_unknown' ] } ) mock.get( 'https://unknown_pubkey.issuer.local/oauth2' + '/.well-known/oauth-authorization-server', json={ 'jwks_uri': 'https://unknown_pubkey.issuer.local/oauth2/keys', } ) mock.get( 'https://unknown_pubkey.issuer.local/oauth2/keys', json={ 'keys': [ {'kid': 'x'}, {'kid': 'z'} ] } )

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6

584253e5b62da483fb29dab962b906a70b57da19

164,202

py

Python

file_storage/avm_results_la_grange.py

johncoleman83/attom_python_client

2fad572162f481a71cccf6003da4cbd8ec4477d4

[ "MIT" ]

null

file_storage/avm_results_la_grange.py

johncoleman83/attom_python_client

2fad572162f481a71cccf6003da4cbd8ec4477d4

[ "MIT" ]

null

file_storage/avm_results_la_grange.py

johncoleman83/attom_python_client

2fad572162f481a71cccf6003da4cbd8ec4477d4

[ "MIT" ]

1

2020-11-20T19:28:36.000Z

#!/usr/bin/env python3 avm_results = [ {"status": {"version": "1.0.0", "code": 0, "msg": "SuccessWithResult", "total": 1, "page": 1, "pagesize": 10, "responseDateTime": "2019-6-20T04:59:47", "transactionID": "330acf8a-d3bd-469d-b6dd-2ecc4fa06303"}, "echoed_fields": {"jobID": "", "loanNumber": "", "preparedBy": "", "resellerID": "", "preparedFor": ""}, "property": [{"identifier": {"obPropId": 28768917031, "fips": "17031", "apn": "18091110260000", "attomID": 287689}, "lot": {"depth": 0, "frontage": 0, "lotsize1": 0.186, "lotsize2": 8100}, "area": {"countrysecsubd": "Cook County"}, "address": {"country": "US", "countrySubd": "IL", "line1": "608 S KENSINGTON AVE", "line2": "LA GRANGE, IL 60525", "locality": "La Grange", "matchCode": "ExaStr", "oneLine": "608 S KENSINGTON AVE, LA GRANGE, IL 60525", "postal1": "60525", "postal2": "2705", "postal3": "C020"}, "location": {"accuracy": "Street", "elevation": 0.0, "latitude": "41.802985", "longitude": "-87.874288", "distance": 0.0, "geoid": "CO17031, CS1745447, DB1721630, DB1723880, MT30001048, ND0004439079, PL1740767, RS0000157782, SB0000085034, SB0000085035, SB0000085135, SB0000085136, ZI60525"}, "summary": {"absenteeInd": "OWNER OCCUPIED", "propclass": "Single Family Residence / Townhouse", "propsubtype": "HOUSE", "proptype": "SFR", "yearbuilt": 1949, "propLandUse": "SFR", "propIndicator": "10", "legal1": "EAST2 W2 NW4 SEC09 E2NW4SW4 S09 T38 N R12E 3P"}, "utilities": {"coolingtype": "TYPE UNKNOWN", "walltype": "FRAME/MASONRY"}, "building": {"size": {"bldgsize": 0, "grosssize": 0, "grosssizeadjusted": 1899, "groundfloorsize": 0, "livingsize": 1899, "sizeInd": "LIVING SQFT ", "universalsize": 1899}, "rooms": {"bathstotal": 2.0, "beds": 3, "roomsTotal": 0}, "interior": {"bsmtsize": 0, "fplccount": 1, "fplcind": "Y", "fplctype": "YES"}, "parking": {"prkgSize": 0, "prkgType": "GARAGE - ATTACHED"}, "summary": {"levels": 2, "storyDesc": "HOUSE", "unitsCount": "1"}}, "avm": {"eventDate": "2019-3-22", "amount": {"scr": 84, "value": 512100, "high": 586000, "low": 431300, "fsd": 16.0}}, "sale": {"buyerName": "MROZ,ELIZABETH K & KEVIN M", "sellerName": "KETCHUM,KATHLEEN T & ROBERT P", "salesearchdate": "2005-8-19", "mortgage": {"FirstConcurrent": {"trustDeedDocumentNumber": "1819245021", "amount": 359920}, "SecondConcurrent": {"amount": 0}, "ThirdConcurrent": {"amount": 0}}, "amount": {"saleamt": 510000, "salerecdate": "2005-8-19", "saledisclosuretype": 0, "saledocnum": "0523120096", "saletranstype": "Resale"}, "calculation": {"priceperbed": 0, "pricepersizeunit": 269}}, "assessment": {"assessed": {"assdttlvalue": 46149}, "market": {"mktttlvalue": 461490}}, "owner": {}}]}, {"status": {"version": "1.0.0", "code": 0, "msg": "SuccessWithResult", "total": 1, "page": 1, "pagesize": 10, "responseDateTime": "2019-6-20T04:59:51", "transactionID": "54f8f6e2-10bb-4564-bfab-75034d39125f"}, "echoed_fields": {"jobID": "", "loanNumber": "", "preparedBy": "", "resellerID": "", "preparedFor": ""}, "property": [{"identifier": {"obPropId": 17523301917031, "fips": "17031", "apn": "18093150040000", "attomID": 175233019}, "lot": {"depth": 0, "frontage": 0, "lotsize1": 0.1453, "lotsize2": 6329}, "area": {"countrysecsubd": "Cook County"}, "address": {"country": "US", "countrySubd": "IL", "line1": "1011 S MADISON AVE", "line2": "LA GRANGE, IL 60525", "locality": "La Grange", "matchCode": "ExaStr", "oneLine": "1011 S MADISON AVE, LA GRANGE, IL 60525", "postal1": "60525", "postal2": "2854", "postal3": "C012"}, "location": {"accuracy": "Street", "elevation": 0.0, "latitude": "41.795556", "longitude": "-87.870177", "distance": 0.0, "geoid": "CO17031, CS1745447, DB1721630, DB1723880, MT30001048, ND0004439079, PL1740767, SB0000085034, SB0000085035, SB0000085135, SB0000085136, ZI60525"}, "summary": {"absenteeInd": "OWNER OCCUPIED", "propclass": "Single Family Residence / Townhouse", "propsubtype": "HOUSE", "proptype": "SFR", "yearbuilt": 1967, "propLandUse": "SFR", "propIndicator": "10", "legal1": "E2SW4 S09 T38N R12E 3P"}, "utilities": {"coolingtype": "AC.CENTRAL", "walltype": "FRAME/MASONRY"}, "building": {"size": {"bldgsize": 0, "grosssize": 0, "grosssizeadjusted": 1731, "groundfloorsize": 0, "livingsize": 1731, "sizeInd": "LIVING SQFT ", "universalsize": 1731}, "rooms": {"bathstotal": 3.0, "beds": 4, "roomsTotal": 0}, "interior": {"bsmtsize": 0, "fplccount": 0}, "parking": {"prkgSize": 0, "prkgType": "GARAGE DETACHED"}, "summary": {"levels": 2, "storyDesc": "HOUSE", "unitsCount": "1"}}, "avm": {"eventDate": "2019-3-22", "amount": {"scr": 78, "value": 498200, "high": 589500, "low": 391200, "fsd": 22.0}}, "sale": {"buyerName": "DOYLE,CHRISTINE|MILLER,VINCENT K", "sellerName": "OZER,MARC R & ANN M", "salesearchdate": "2017-5-18", "saleTransDate": "2017-5-18", "mortgage": {"FirstConcurrent": {"trustDeedDocumentNumber": "1713908044", "amount": 421200}, "SecondConcurrent": {"amount": 0}, "ThirdConcurrent": {"amount": 0}}, "amount": {"saleamt": 468000, "salerecdate": "2017-5-19", "saledisclosuretype": 0, "saledocnum": "1713908043", "saletranstype": "Resale"}, "calculation": {"priceperbed": 0, "pricepersizeunit": 270}}, "assessment": {"assessed": {"assdttlvalue": 48066}, "market": {"mktttlvalue": 480660}}, "owner": {}}]}, {"status": {"version": "1.0.0", "code": 0, "msg": "SuccessWithResult", "total": 1, "page": 1, "pagesize": 10, "responseDateTime": "2019-6-20T04:59:53", "transactionID": "912a0380-c3f7-4ec5-9e61-31fd4a96b7f6"}, "echoed_fields": {"jobID": "", "loanNumber": "", "preparedBy": "", "resellerID": "", "preparedFor": ""}, "property": [{"identifier": {"obPropId": 17484776217031, "fips": "17031", "apn": "18091300200000", "attomID": 174847762}, "lot": {"depth": 0, "frontage": 0, "lotsize1": 0.1412, "lotsize2": 6150}, "area": {"countrysecsubd": "Cook County"}, "address": {"country": "US", "countrySubd": "IL", "line1": "828 S MADISON AVE", "line2": "LA GRANGE, IL 60525", "locality": "La Grange", "matchCode": "ExaStr", "oneLine": "828 S MADISON AVE, LA GRANGE, IL 60525", "postal1": "60525", "postal2": "2807", "postal3": "C012"}, "location": {"accuracy": "Street", "elevation": 0.0, "latitude": "41.799070", "longitude": "-87.870677", "distance": 0.0, "geoid": "CO17031, CS1745447, DB1721630, DB1723880, MT30001048, ND0004439079, PL1740767, RS0000187321, SB0000085034, SB0000085035, SB0000085135, SB0000085136, ZI60525"}, "summary": {"absenteeInd": "OWNER OCCUPIED", "propclass": "Single Family Residence / Townhouse", "propsubtype": "HOUSE", "proptype": "SFR", "yearbuilt": 1948, "propLandUse": "SFR", "propIndicator": "10", "legal1": "L8 B15 COUNTRY CLUB ADDT TO LA GRAN GE E1/2 NW1/4 S9 T38N R12E"}, "utilities": {"coolingtype": "AC.CENTRAL", "walltype": "FRAME/MASONRY"}, "building": {"size": {"bldgsize": 0, "grosssize": 0, "grosssizeadjusted": 2564, "groundfloorsize": 0, "livingsize": 2564, "sizeInd": "LIVING SQFT ", "universalsize": 2564}, "rooms": {"bathstotal": 3.0, "beds": 4, "roomsTotal": 0}, "interior": {"bsmtsize": 0, "fplccount": 0}, "parking": {"prkgSize": 0, "prkgType": "GARAGE - ATTACHED"}, "summary": {"levels": 2, "storyDesc": "HOUSE", "unitsCount": "1"}}, "avm": {"eventDate": "2019-3-22", "amount": {"scr": 78, "value": 627400, "high": 754400, "low": 491500, "fsd": 22.0}}, "sale": {"buyerName": "MICHELINI,LUCAS V & MICHELLE P", "sellerName": "WILLIAMS,R RICHARD & JOYCE H", "salesearchdate": "2016-7-26", "saleTransDate": "2016-7-26", "mortgage": {"FirstConcurrent": {"amount": 404000}, "SecondConcurrent": {"amount": 0}, "ThirdConcurrent": {"amount": 0}}, "amount": {"saleamt": 505000, "salerecdate": "2016-7-27", "saledisclosuretype": 0, "saledocnum": "1620918071", "saletranstype": "Resale"}, "calculation": {"priceperbed": 0, "pricepersizeunit": 197}}, "assessment": {"assessed": {"assdttlvalue": 53727}, "market": {"mktttlvalue": 537270}}, "owner": {}}]}, {"status": {"version": "1.0.0", "code": 0, "msg": "SuccessWithResult", "total": 1, "page": 1, "pagesize": 10, "responseDateTime": "2019-6-20T04:59:56", "transactionID": "3f7572ce-1e4a-4241-bac0-37b9b36e19c3"}, "echoed_fields": {"jobID": "", "loanNumber": "", "preparedBy": "", "resellerID": "", "preparedFor": ""}, "property": [{"identifier": {"obPropId": 17599964617031, "fips": "17031", "apn": "18093000310000", "attomID": 175999646}, "lot": {"depth": 0, "frontage": 0, "lotsize1": 0.1701, "lotsize2": 7411}, "area": {"countrysecsubd": "Cook County"}, "address": {"country": "US", "countrySubd": "IL", "line1": "904 S STONE AVE", "line2": "LA GRANGE, IL 60525", "locality": "La Grange", "matchCode": "ExaStr", "oneLine": "904 S STONE AVE, LA GRANGE, IL 60525", "postal1": "60525", "postal2": "2728", "postal3": "C072"}, "location": {"accuracy": "Street", "elevation": 0.0, "latitude": "41.797520", "longitude": "-87.877730", "distance": 0.0, "geoid": "CO17031, CS1745447, DB1721630, DB1723880, MT30001048, ND0004439079, PL1740767, RS0000157153, SB0000085034, SB0000085035, SB0000085135, SB0000085136, ZI60525"}, "summary": {"absenteeInd": "OWNER OCCUPIED", "propclass": "Single Family Residence / Townhouse", "propsubtype": "HOUSE", "proptype": "SFR", "yearbuilt": 1933, "propLandUse": "SFR", "propIndicator": "10"}, "utilities": {"coolingtype": "AC.CENTRAL", "walltype": "WOOD"}, "building": {"size": {"bldgsize": 0, "grosssize": 0, "grosssizeadjusted": 1681, "groundfloorsize": 0, "livingsize": 1681, "sizeInd": "LIVING SQFT ", "universalsize": 1681}, "rooms": {"bathstotal": 2.0, "beds": 3, "roomsTotal": 0}, "interior": {"bsmtsize": 0, "fplccount": 1, "fplcind": "Y", "fplctype": "YES"}, "parking": {"prkgSize": 0}, "summary": {"levels": 2, "storyDesc": "HOUSE", "unitsCount": "1"}}, "avm": {"eventDate": "2019-3-22", "amount": {"scr": 85, "value": 410800, "high": 472100, "low": 351600, "fsd": 15.0}}, "sale": {"buyerName": "PICKERING,JOHN R & JEANINE", "sellerName": "MERRION,DAVID W", "salesearchdate": "2016-12-9", "saleTransDate": "2016-12-9", "mortgage": {"FirstConcurrent": {"amount": 383200}, "SecondConcurrent": {"amount": 46300}, "ThirdConcurrent": {"amount": 0}}, "amount": {"saleamt": 479000, "salerecdate": "2016-12-20", "saledisclosuretype": 0, "saledocnum": "1635549053", "saletranstype": "Resale"}, "calculation": {"priceperbed": 0, "pricepersizeunit": 285}}, "assessment": {"assessed": {"assdttlvalue": 41716}, "market": {"mktttlvalue": 417160}}, "owner": {}}]}, {"status": {"version": "1.0.0", "code": 0, "msg": "SuccessWithResult", "total": 1, "page": 1, "pagesize": 10, "responseDateTime": "2019-6-20T04:59:59", "transactionID": "3af7c23a-94a3-4805-a089-bc4cfade2e2b"}, "echoed_fields": {"jobID": "", "loanNumber": "", "preparedBy": "", "resellerID": "", "preparedFor": ""}, "property": [{"identifier": {"obPropId": 2322812117031, "fips": "17031", "apn": "18091000270000", "attomID": 23228121}, "lot": {"depth": 0, "frontage": 0, "lotsize1": 0.155, "lotsize2": 6750}, "area": {"countrysecsubd": "Cook County"}, "address": {"country": "US", "countrySubd": "IL", "line1": "505 S BRAINARD AVE", "line2": "LA GRANGE, IL 60525", "locality": "La Grange", "matchCode": "ExaStr", "oneLine": "505 S BRAINARD AVE, LA GRANGE, IL 60525", "postal1": "60525", "postal2": "6107", "postal3": "C040"}, "location": {"accuracy": "Street", "elevation": 0.0, "latitude": "41.804677", "longitude": "-87.878924", "distance": 0.0, "geoid": "CO17031, CS1745447, DB1721630, DB1723880, MT30001048, ND0004439079, PL1740767, RS0000157153, SB0000085034, SB0000085035, SB0000085135, SB0000085136, ZI60525"}, "summary": {"absenteeInd": "OWNER OCCUPIED", "propclass": "Single Family Residence / Townhouse", "propsubtype": "HOUSE", "proptype": "SFR", "yearbuilt": 1956, "propLandUse": "SFR", "propIndicator": "10", "legal1": "WEST2 W2 NW4 SEC09 W2NW4SW4 S09 T38 N R12E 3P"}, "utilities": {"coolingtype": "AC.CENTRAL", "walltype": "FRAME/MASONRY"}, "building": {"size": {"bldgsize": 0, "grosssize": 0, "grosssizeadjusted": 2139, "groundfloorsize": 0, "livingsize": 2139, "sizeInd": "LIVING SQFT ", "universalsize": 2139}, "rooms": {"bathstotal": 3.0, "beds": 4, "roomsTotal": 0}, "interior": {"bsmtsize": 0, "fplccount": 1, "fplcind": "Y", "fplctype": "YES"}, "parking": {"prkgSize": 0, "prkgType": "GARAGE DETACHED"}, "summary": {"levels": 2, "storyDesc": "HOUSE", "unitsCount": "1"}}, "avm": {"eventDate": "2019-3-22", "amount": {"scr": 75, "value": 534800, "high": 667700, "low": 421800, "fsd": 25.0}}, "sale": {"sellerName": "LALLY,BRIAN & ANGELLA B", "salesearchdate": "2018-6-18", "saleTransDate": "2018-6-18", "mortgage": {"FirstConcurrent": {"amount": 377000}, "SecondConcurrent": {"amount": 0}, "ThirdConcurrent": {"amount": 0}}, "amount": {"saleamt": 532000, "salerecdate": "2018-10-11", "saledisclosuretype": 0, "saledocnum": "1828457101", "saletranstype": "Resale"}, "calculation": {"priceperbed": 0, "pricepersizeunit": 249}}, "assessment": {"assessed": {"assdttlvalue": 45979}, "market": {"mktttlvalue": 459790}}, "owner": {}}]}, {"status": {"version": "1.0.0", "code": 0, "msg": "SuccessWithResult", "total": 1, "page": 1, "pagesize": 10, "responseDateTime": "2019-6-20T05:00:01", "transactionID": "67242182-7e21-458e-9be3-59a65f11858f"}, "echoed_fields": {"jobID": "", "loanNumber": "", "preparedBy": "", "resellerID": "", "preparedFor": ""}, "property": [{"identifier": {"obPropId": 17484770317031, "fips": "17031", "apn": "18091140020000", "attomID": 174847703}, "lot": {"depth": 0, "frontage": 0, "lotsize1": 0.1412, "lotsize2": 6150}, "area": {"countrysecsubd": "Cook County"}, "address": {"country": "US", "countrySubd": "IL", "line1": "605 S ASHLAND AVE", "line2": "LA GRANGE, IL 60525", "locality": "La Grange", "matchCode": "ExaStr", "oneLine": "605 S ASHLAND AVE, LA GRANGE, IL 60525", "postal1": "60525", "postal2": "2814", "postal3": "C012"}, "location": {"accuracy": "Street", "elevation": 0.0, "latitude": "41.803142", "longitude": "-87.871653", "distance": 0.0, "geoid": "CO17031, CS1745447, DB1721630, DB1723880, MT30001048, ND0004439079, PL1740767, RS0000187321, SB0000085034, SB0000085035, SB0000085135, SB0000085136, 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py

Python

wagl/longitude_latitude_arrays.py

Oceancolour-RG/wagl

f002a1c0a373d21758d44d2a808bdfd755d90226

[ "Apache-2.0" ]

null

wagl/longitude_latitude_arrays.py

Oceancolour-RG/wagl

f002a1c0a373d21758d44d2a808bdfd755d90226

[ "Apache-2.0" ]

null

wagl/longitude_latitude_arrays.py

Oceancolour-RG/wagl

f002a1c0a373d21758d44d2a808bdfd755d90226

[ "Apache-2.0" ]

1

2019-01-23T00:51:56.000Z

#!/usr/bin/env python """ Longitude and Latitude 2D grid creation. """ from __future__ import absolute_import, print_function from functools import partial import numpy import osr import h5py from wagl.constants import DatasetName, GroupName from wagl.interpolation import interpolate_grid from wagl.hdf5 import H5CompressionFilter, attach_image_attributes CRS = "EPSG:4326" LON_DESC = "Contains the longitude values for each pixel." LAT_DESC = "Contains the latitude values for each pixel." def get_lon_coordinate(y, x, geobox, geo_crs=None, centre=False): """ Given an image/array y & x co-ordinate return the corresponding longitude co-ordinate. The y, x style mimics Python indices. :param y: An integer representing an image/array row coordinate. :param x: An integer representing an image/array column coordinate. :param geobox: An instance of a GriddedGeoBox object. :param geo_crs: An instance of a defined geographic osr.SpatialReference object. If set to None (Default), then geo_crs will be set to WGS84. :param centre: A boolean indicating whether or not the returned co-ordinate should reference the centre of a pixel, in which case a 0.5 offset is applied in the x & y directions. Default is False. :return: A floating point value representing the longitude co-ordinate. """ if geo_crs is None: geo_crs = osr.SpatialReference() geo_crs.SetFromUserInput(CRS) xy = (x, y) mapx, mapy = geobox.convert_coordinates(xy, to_map=True, centre=centre) x = geobox.transform_coordinates((mapx, mapy), geo_crs)[0] return x def get_lat_coordinate(y, x, geobox, geo_crs=None, centre=False): """ Given an image/array x & y co-ordinate return the corresponding latitude co-ordinate. The y, x style mimics Python indices. :param y: An integer representing an image/array row coordinate. :param x: An integer representing an image/array column coordinate. :param geobox: An instance of a GriddedGeoBox object. :param geo_crs: An instance of a defined geographic osr.SpatialReference object. If set to None (Default), then geo_crs will be set to WGS84. :param centre: A boolean indicating whether or not the returned co-ordinate should reference the centre of a pixel, in which case a 0.5 offset is applied in the x & y directions. Default is False. :return: A floating point value representing the latitude co-ordinate. """ if geo_crs is None: geo_crs = osr.SpatialReference() geo_crs.SetFromUserInput(CRS) xy = (x, y) mapx, mapy = geobox.convert_coordinates(xy, to_map=True, centre=centre) y = geobox.transform_coordinates((mapx, mapy), geo_crs)[1] return y def _create_lon_lat_grids(acquisition, out_fname=None, compression=H5CompressionFilter.LZF, filter_opts=None, depth=7): """ A private wrapper for dealing with the internal custom workings of the multifile workflow. """ with h5py.File(out_fname, 'w') as fid: create_lon_lat_grids(acquisition, fid, compression, filter_opts, depth) def create_lon_lat_grids(acquisition, out_group=None, compression=H5CompressionFilter.LZF, filter_opts=None, depth=7): """ Creates 2 by 2D NumPy arrays containing longitude and latitude co-ordinates for each array element. :param acquisition: An instance of an `Acquisition` object. :param out_group: If set to None (default) then the results will be returned as an in-memory hdf5 file, i.e. the `core` driver. Otherwise, a writeable HDF5 `Group` object. The dataset names will be given by: * contants.DatasetName.LON.value * contants.DatasetName.LAT.value :param compression: The compression filter to use. Default is H5CompressionFilter.LZF :filter_opts: A dict of key value pairs available to the given configuration instance of H5CompressionFilter. For example H5CompressionFilter.LZF has the keywords *chunks* and *shuffle* available. Default is None, which will use the default settings for the chosen H5CompressionFilter instance. :return: An opened `h5py.File` object, that is either in-memory using the `core` driver, or on disk. """ geobox = acquisition.gridded_geo_box() # Define the lon and lat transform funtions lon_func = partial(get_lon_coordinate, geobox=geobox, centre=True) lat_func = partial(get_lat_coordinate, geobox=geobox, centre=True) # Get some basic info about the image shape = geobox.get_shape_yx() # Initialise the array to contain the result result = numpy.zeros(shape, dtype='float64') interpolate_grid(result, lon_func, depth=depth, origin=(0, 0), shape=shape) # Initialise the output files if out_group is None: fid = h5py.File('longitude-latitude.h5', driver='core', backing_store=False) else: fid = out_group if GroupName.LON_LAT_GROUP.value not in fid: fid.create_group(GroupName.LON_LAT_GROUP.value) grp = fid[GroupName.LON_LAT_GROUP.value] # define some base attributes for the image datasets attrs = {'crs_wkt': geobox.crs.ExportToWkt(), 'geotransform': geobox.transform.to_gdal(), 'description': LON_DESC} if filter_opts is None: filter_opts = {} filter_opts['chunks'] = acquisition.tile_size kwargs = compression.config(**filter_opts).dataset_compression_kwargs() lon_dset = grp.create_dataset(DatasetName.LON.value, data=result, **kwargs) attach_image_attributes(lon_dset, attrs) result = numpy.zeros(shape, dtype='float64') interpolate_grid(result, lat_func, depth=depth, origin=(0, 0), shape=shape) attrs['description'] = LAT_DESC lat_dset = grp.create_dataset(DatasetName.LAT.value, data=result, **kwargs) attach_image_attributes(lat_dset, attrs) return fid def create_grid(geobox, coord_fn, depth=7): """ Interpolates a `NumPy` array based on the input coordinate function `coord_fn`. :param geobox: An instance of an `GriddedGeoBox` object. :param coord_fn: A function that maps coordinates. :return: A `NumPy` array. """ # Define the transform funtions func = partial(coord_fn, geobox=geobox, centre=True) # Get some basic info about the image shape = geobox.get_shape_yx() # Initialise the array to contain the result arr = numpy.zeros(shape, dtype='float64') interpolate_grid(arr, func, depth=depth, origin=(0, 0), shape=shape) return arr def create_lon_grid(acquisition, out_fname=None, compression=H5CompressionFilter.LZF, filter_opts=None, depth=7): """Create longitude grid. :param acquisition: An instance of an `Acquisition` object. :param out_fname: If set to None (default) then the results will be returned as an in-memory hdf5 file, i.e. the `core` driver. Otherwise it should be a string containing the full file path name to a writeable location on disk in which to save the HDF5 file. The dataset path names will be as follows: * contants.DatasetName.LON.value :param compression: The compression filter to use. Default is H5CompressionFilter.LZF :filter_opts: A dict of key value pairs available to the given configuration instance of H5CompressionFilter. For example H5CompressionFilter.LZF has the keywords *chunks* and *shuffle* available. Default is None, which will use the default settings for the chosen H5CompressionFilter instance. :return: An opened `h5py.File` object, that is either in-memory using the `core` driver, or on disk. """ # Initialise the output files if out_fname is None: fid = h5py.File('longitude.h5', driver='core', backing_store=False) else: fid = h5py.File(out_fname, 'w') geobox = acquisition.gridded_geo_box() # define some base attributes for the image datasets attrs = {'crs_wkt': geobox.crs.ExportToWkt(), 'geotransform': geobox.transform.to_gdal(), 'description': LON_DESC} if filter_opts is None: filter_opts = {} filter_opts['chunks'] = acquisition.tile_size kwargs = compression.config(**filter_opts).dataset_compression_kwargs() lon_grid = create_grid(geobox, get_lon_coordinate, depth) grp = fid.create_group(GroupName.LON_LAT_GROUP.value) dset = grp.create_dataset(DatasetName.LON.value, data=lon_grid, **kwargs) attach_image_attributes(dset, attrs) return fid def create_lat_grid(acquisition, out_fname=None, compression=H5CompressionFilter.LZF, filter_opts=None, depth=7): """Create latitude grid. :param acquisition: An instance of an `Acquisition` object. :param out_fname: If set to None (default) then the results will be returned as an in-memory hdf5 file, i.e. the `core` driver. Otherwise it should be a string containing the full file path name to a writeable location on disk in which to save the HDF5 file. The dataset path names will be as follows: * contants.DatasetName.LAT.value :param compression: The compression filter to use. Default is H5CompressionFilter.LZF :filter_opts: A dict of key value pairs available to the given configuration instance of H5CompressionFilter. For example H5CompressionFilter.LZF has the keywords *chunks* and *shuffle* available. Default is None, which will use the default settings for the chosen H5CompressionFilter instance. :return: An opened `h5py.File` object, that is either in-memory using the `core` driver, or on disk. """ # Initialise the output files if out_fname is None: fid = h5py.File('latitude.h5', driver='core', backing_store=False) else: fid = h5py.File(out_fname, 'w') geobox = acquisition.gridded_geo_box() # define some base attributes for the image datasets attrs = {'crs_wkt': geobox.crs.ExportToWkt(), 'geotransform': geobox.transform.to_gdal(), 'description': LAT_DESC} if filter_opts is None: filter_opts = {} filter_opts['chunks'] = acquisition.tile_size kwargs = compression.config(**filter_opts).dataset_compression_kwargs() lat_grid = create_grid(geobox, get_lat_coordinate, depth) grp = fid.create_group(GroupName.LON_LAT_GROUP.value) dset = grp.create_dataset(DatasetName.LAT.value, data=lat_grid, **kwargs) attach_image_attributes(dset, attrs) return fid

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79

0.671188

1,460

11,207

5.035616

0.158219

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0.013058

0.030468

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0.008929

0

null

0

1

0

null

0

6

5464315b316772de03840ee8b854ff40843536af

2,646

py

Python

src/open_geodata/lyr/base.py

open-geodata/open-geodata

609a040e06dab2e7c7c627b20640011a8b381c4d

[ "MIT" ]

null

src/open_geodata/lyr/base.py

open-geodata/open-geodata

609a040e06dab2e7c7c627b20640011a8b381c4d

[ "MIT" ]

null

src/open_geodata/lyr/base.py

open-geodata/open-geodata

609a040e06dab2e7c7c627b20640011a8b381c4d

[ "MIT" ]

null

#!/usr/bin/env python # coding: utf-8 import folium def google_hybrid(min_zoom, max_zoom): row = { 'link': 'https://mt1.google.com/vt/lyrs=y&x={x}&y={y}&z={z}', 'name': 'Google Hybrid', 'attribution': 'https://www.google.com/maps', } return folium.TileLayer( tiles=row['link'], attr=('<a href="{}" target="blank">{}</a>'.format(row['attribution'], row['name'])), name=row['name'], min_zoom=min_zoom, max_zoom=max_zoom, subdomains=['mt0', 'mt1', 'mt2', 'mt3'], overlay=False, control=True, show=True, ) def google_satellite(min_zoom, max_zoom): row = { 'link': 'https://mt1.google.com/vt/lyrs=s&x={x}&y={y}&z={z}', 'name': 'Google Satelite', 'attribution': 'https://www.google.com/maps', } return folium.TileLayer( tiles=row['link'], attr=('<a href="{}" target="blank">{}</a>'.format(row['attribution'], row['name'])), name=row['name'], min_zoom=min_zoom, max_zoom=max_zoom, subdomains=['mt0', 'mt1', 'mt2', 'mt3'], overlay=False, control=True, show=False, ) def google_terrain(min_zoom, max_zoom): row = { 'link': 'https://mt1.google.com/vt/lyrs=p&x={x}&y={y}&z={z}', 'name': 'Google Terrain', 'attribution': 'https://www.google.com/maps', } return folium.TileLayer( tiles=row['link'], attr=('<a href="{}" target="blank">{}</a>'.format(row['attribution'], row['name'])), name=row['name'], min_zoom=min_zoom, max_zoom=max_zoom, subdomains=['mt0', 'mt1', 'mt2', 'mt3'], overlay=False, control=True, show=False, ) def google_streets(min_zoom, max_zoom): row = { 'link': 'https://mt1.google.com/vt/lyrs=m&x={x}&y={y}&z={z}', 'name': 'Google Streets', 'attribution': 'https://www.google.com/maps', } return folium.TileLayer( tiles=row['link'], attr=('<a href="{}" target="blank">{}</a>'.format(row['attribution'], row['name'])), name=row['name'], min_zoom=min_zoom, max_zoom=max_zoom, subdomains=['mt0', 'mt1', 'mt2', 'mt3'], overlay=False, control=True, show=False, ) def cartodb_positron(min_zoom, max_zoom): return folium.TileLayer( tiles='cartodbpositron', attr='Carto', name='CartoDB Positron', min_zoom=min_zoom, max_zoom=max_zoom, overlay=False, control=True, show=False, ) if __name__ == '__main__': pass

26.727273

92

0.534769

324

2,646

4.234568

0.188272

0.076531

0.120262

0.102041

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0.740525

0

0.010753

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0

null

0

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null

0

6

5466dc571c7babd43d6031431d45675cfea9acda

128

py

Python

crawl_utils/file/__init__.py

cjr0707/CrawlUtils

723f0b8ef2a617ff0ca1b51e35a5ded43ab76ff0

[ "MIT" ]

1

2021-03-11T03:00:10.000Z

crawl_utils/file/__init__.py

cjr0707/CrawlUtils

723f0b8ef2a617ff0ca1b51e35a5ded43ab76ff0

[ "MIT" ]

null

crawl_utils/file/__init__.py

cjr0707/CrawlUtils

723f0b8ef2a617ff0ca1b51e35a5ded43ab76ff0

[ "MIT" ]

null

from .extract_attachment import extract_attachment from .extract_img import extract_img from .extract_time import TimeExtractor

32

50

0.882813

17

128

6.352941

0.411765

0.305556

0

0.09375

128

3

51

42.666667

0.931034

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

54774dbc5112f15c1ad0e9667599cae448e2d045

298

py

Python

plotly/graph_objs/ohlc/__init__.py

gnestor/plotly.py

a8ae062795ddbf9867b8578fe6d9e244948c15ff

[ "MIT" ]

12

2020-04-18T18:10:22.000Z

2021-12-06T10:11:15.000Z

plotly/graph_objs/ohlc/__init__.py

Vesauza/plotly.py

e53e626d59495d440341751f60aeff73ff365c28

[ "MIT" ]

27

2020-04-28T21:23:12.000Z

2021-06-25T15:36:38.000Z

plotly/graph_objs/ohlc/__init__.py

Vesauza/plotly.py

e53e626d59495d440341751f60aeff73ff365c28

[ "MIT" ]

6

2020-04-18T23:07:08.000Z

2021-11-18T07:53:06.000Z

from ._stream import Stream from ._line import Line from ._increasing import Increasing from plotly.graph_objs.ohlc import increasing from ._hoverlabel import Hoverlabel from plotly.graph_objs.ohlc import hoverlabel from ._decreasing import Decreasing from plotly.graph_objs.ohlc import decreasing

33.111111

45

0.855705

41

298

6.02439

0.268293

0.121457

0.182186

0.230769

0.352227

0

0.107383

298

8

46

37.25

0.928571

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

548dd582bcb413de0a6a7e6d8c6fd1a9ee69f099

59

py

Python

test_fixtures/general_repo/file_with_multiple_imports_on_same_line.py

SerejkaSJ/fiasko_bro

dfb8c30109f317c1e5b6d211e002fd148695809e

[ "MIT" ]

25

2018-01-24T10:45:35.000Z

2020-12-05T21:47:20.000Z

test_fixtures/general_repo/file_with_multiple_imports_on_same_line.py

SerejkaSJ/fiasko_bro

dfb8c30109f317c1e5b6d211e002fd148695809e

[ "MIT" ]

110

2018-01-21T12:25:13.000Z

2021-06-10T19:27:22.000Z

test_fixtures/general_repo/file_with_multiple_imports_on_same_line.py

SerejkaSJ/fiasko_bro

dfb8c30109f317c1e5b6d211e002fd148695809e

[ "MIT" ]

13

2017-12-12T22:19:01.000Z

2019-01-29T18:08:05.000Z

import foo from foo import one, two, three import foo, bar

14.75

31

0.762712

11

59

4.090909

0.636364

0.4

0

0.186441

59

3

32

19.666667

0.9375

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

54a75ecefd001ef0d4176bc17eef99ff4e29ff3b

9,551

py

Python

sfm/ui/test_jobs.py

AramZS/sfm-ui

accfa59bf203e5dee7db46c8072256700278b462

[ "MIT" ]

1

2021-01-09T04:58:17.000Z

sfm/ui/test_jobs.py

AramZS/sfm-ui

accfa59bf203e5dee7db46c8072256700278b462

[ "MIT" ]

null

sfm/ui/test_jobs.py

AramZS/sfm-ui

accfa59bf203e5dee7db46c8072256700278b462

[ "MIT" ]

null

from django.test import TestCase from django.conf import settings import json from mock import MagicMock, patch from .jobs import collection_harvest, collection_stop from .models import Collection, CollectionSet, Seed, Credential, Group, User, Harvest from .rabbit import RabbitWorker class StartJobsTests(TestCase): def setUp(self): self.user = User.objects.create_superuser(username="test_user", email="test_user@test.com", password="test_password") self.group = Group.objects.create(name="test_group") self.collection_set = CollectionSet.objects.create(group=self.group, name="test_collection_set") self.credential_token = {"key": "test_key"} self.credential = Credential.objects.create(user=self.user, platform="test_platform", token=json.dumps(self.credential_token)) self.harvest_options = {"test_option": "test_value"} @patch("ui.jobs.RabbitWorker", autospec=True) def test_collection_harvest(self, mock_rabbit_worker_class): collection = Collection.objects.create(collection_set=self.collection_set, credential=self.credential, harvest_type=Collection.TWITTER_USER_TIMELINE, name="test_collection", harvest_options=json.dumps(self.harvest_options), is_active=True) Seed.objects.create(collection=collection, token="test_token1", seed_id="1") Seed.objects.create(collection=collection, uid="test_uid2", seed_id="2") Seed.objects.create(collection=collection, token="test_token3", uid="test_uid3", seed_id="3") # Creating Inactive seed which will be ignored from harvest Seed.objects.create(collection=collection, uid="test_uid4", seed_id="4", is_active=False) mock_rabbit_worker = MagicMock(spec=RabbitWorker) mock_rabbit_worker_class.side_effect = [mock_rabbit_worker] collection_harvest(collection.id) # Harvest start message sent name, args, kwargs = mock_rabbit_worker.mock_calls[0] self.assertEqual("send_message", name) message = args[0] self.assertTrue(message["collection_set"]["id"]) self.assertEqual( "{}/collection_set/{}/{}".format(settings.SFM_DATA_DIR, self.collection_set.collection_set_id, collection.collection_id), message["path"]) self.assertDictEqual(self.harvest_options, message["options"]) self.assertDictEqual({"token": "test_token1", "id": "1"}, message["seeds"][0]) self.assertDictEqual({"uid": "test_uid2", "id": "2"}, message["seeds"][1]) self.assertDictEqual({"token": "test_token3", "uid": "test_uid3", "id": "3"}, message["seeds"][2]) self.assertEqual(Collection.TWITTER_USER_TIMELINE, message["type"]) self.assertTrue(message["id"]) self.assertEqual("harvest.start.test_platform.twitter_user_timeline", args[1]) # Harvest model object created harvest = Harvest.objects.get(harvest_id=message["id"]) self.assertIsNotNone(harvest.date_requested) self.assertEqual(collection, harvest.collection) self.assertEqual(Harvest.REQUESTED, harvest.status) self.assertEqual(Collection.TWITTER_USER_TIMELINE, harvest.harvest_type) @patch("ui.jobs.RabbitWorker", autospec=True) def test_missing_collection_harvest(self, mock_rabbit_worker_class): mock_rabbit_worker = MagicMock(spec=RabbitWorker) mock_rabbit_worker_class.side_effect = [mock_rabbit_worker] # Error should be logged and nothing happens collection_harvest(1234567) mock_rabbit_worker.assert_not_called() @patch("ui.jobs.RabbitWorker", autospec=True) def test_collection_without_seeds_harvest(self, mock_rabbit_worker_class): collection = Collection.objects.create(collection_set=self.collection_set, credential=self.credential, harvest_type=Collection.TWITTER_SAMPLE, name="test_collection", harvest_options=json.dumps(self.harvest_options), is_active=True) mock_rabbit_worker = MagicMock(spec=RabbitWorker) mock_rabbit_worker_class.side_effect = [mock_rabbit_worker] collection_harvest(collection.id) # Harvest start message sent name, args, kwargs = mock_rabbit_worker.mock_calls[0] self.assertEqual("send_message", name) message = args[0] self.assertTrue(message["collection_set"]["id"]) self.assertEqual( "{}/collection_set/{}/{}".format(settings.SFM_DATA_DIR, self.collection_set.collection_set_id, collection.collection_id), message["path"]) self.assertDictEqual(self.harvest_options, message["options"]) self.assertFalse("seeds" in message) self.assertEqual(Collection.TWITTER_SAMPLE, message["type"]) self.assertTrue(message["id"]) self.assertEqual("harvest.start.test_platform.twitter_sample", args[1]) # Harvest model object created harvest = Harvest.objects.get(harvest_id=message["id"]) self.assertIsNotNone(harvest.date_requested) self.assertEqual(collection, harvest.collection) self.assertEqual(Harvest.REQUESTED, harvest.status) @patch("ui.jobs.RabbitWorker", autospec=True) def test_missing_seeds(self, mock_rabbit_worker_class): collection = Collection.objects.create(collection_set=self.collection_set, credential=self.credential, harvest_type=Collection.TWITTER_USER_TIMELINE, name="test_collection", harvest_options=json.dumps(self.harvest_options), is_active=True) mock_rabbit_worker = MagicMock(spec=RabbitWorker) mock_rabbit_worker_class.side_effect = [mock_rabbit_worker] # Error should be logged and nothing happens collection_harvest(collection.id) mock_rabbit_worker.assert_not_called() @patch("ui.jobs.RabbitWorker", autospec=True) def test_wrong_number_of_seeds(self, mock_rabbit_worker_class): collection = Collection.objects.create(collection_set=self.collection_set, credential=self.credential, harvest_type=Collection.TWITTER_SAMPLE, name="test_collection", harvest_options=json.dumps(self.harvest_options), is_active=True) Seed.objects.create(collection=collection, token="test_token1") mock_rabbit_worker = MagicMock(spec=RabbitWorker) mock_rabbit_worker_class.side_effect = [mock_rabbit_worker] # Error should be logged and nothing happens collection_harvest(collection.id) mock_rabbit_worker.assert_not_called() class StopJobsTests(TestCase): def setUp(self): self.user = User.objects.create_superuser(username="test_user", email="test_user@test.com", password="test_password") self.group = Group.objects.create(name="test_group") self.collection_set = CollectionSet.objects.create(group=self.group, name="test_collection_set") self.credential_token = {"key": "test_key"} self.credential = Credential.objects.create(user=self.user, platform="test_platform", token=json.dumps(self.credential_token)) self.collection = Collection.objects.create(collection_set=self.collection_set, credential=self.credential, harvest_type=Collection.TWITTER_SAMPLE, name="test_collection", is_active=True) self.historical_collection = self.collection.history.all()[0] self.historical_credential = self.historical_collection.credential.history.all()[0] @patch("ui.jobs.RabbitWorker", autospec=True) def test_stop_harvest(self, mock_rabbit_worker_class): harvest = Harvest.objects.create(harvest_type=Collection.TWITTER_SAMPLE, collection=self.collection, historical_collection=self.historical_collection, historical_credential=self.historical_credential) mock_rabbit_worker = MagicMock(spec=RabbitWorker) mock_rabbit_worker_class.side_effect = [mock_rabbit_worker] collection_stop(self.collection.id) # Harvest stop message sent name, args, kwargs = mock_rabbit_worker.mock_calls[0] self.assertEqual("send_message", name) message = args[0] self.assertEqual(message["id"], harvest.harvest_id) self.assertEqual("harvest.stop.test_platform.twitter_sample", args[1]) # Harvest model object update harvest = Harvest.objects.get(harvest_id=message["id"]) self.assertEqual(Harvest.STOP_REQUESTED, harvest.status) @patch("ui.jobs.RabbitWorker", autospec=True) def test_missing_collection(self, mock_rabbit_worker_class): mock_rabbit_worker = MagicMock(spec=RabbitWorker) mock_rabbit_worker_class.side_effect = [mock_rabbit_worker] # Error should be logged and nothing happens collection_stop(1234567) mock_rabbit_worker.assert_not_called()

53.960452

117

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0.796499

0.766072

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9,551

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0.066667

false

0.014815

0.051852

0

0.133333

0

null

0

1

0

null

0

6

54b512d32f323a8689bd9353d417757575bae1dc

26

py

Python

cyvlfeat/fisher/__init__.py

hubutui/cyvlfeat

a0cfe17b0cc6fe14a9270b50592b4e0b0ec8ed1c

[ "BSD-2-Clause" ]

103

2015-02-12T20:21:53.000Z

2022-03-29T15:30:47.000Z

cyvlfeat/fisher/__init__.py

samousavizade/cyvlfeat

03297e4d1a6924920a7cf2df9d558c93a8445b9f

[ "BSD-2-Clause" ]

49

2015-05-05T03:48:37.000Z

2022-03-09T13:54:24.000Z

cyvlfeat/fisher/__init__.py

samousavizade/cyvlfeat

03297e4d1a6924920a7cf2df9d558c93a8445b9f

[ "BSD-2-Clause" ]

68

2015-02-11T10:33:11.000Z

2022-02-08T09:26:34.000Z

from .fisher import fisher

26

0.846154

4

26

5.5

0.75

0

0.115385

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1

26

0.956522

0

1

0

true

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1

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1

0

null

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1

0

null

0

1

0

1

0

1

0

6

49af530a7c6786d68f8b4bb17407c0b8edef0c83

174

py

Python

blurr/modeling/all.py

bogdansalyp/blurr

77351fb4585b2383ee1507cec9f6625787e4e368

[ "Apache-2.0" ]

null

blurr/modeling/all.py

bogdansalyp/blurr

77351fb4585b2383ee1507cec9f6625787e4e368

[ "Apache-2.0" ]

null

blurr/modeling/all.py

bogdansalyp/blurr

77351fb4585b2383ee1507cec9f6625787e4e368

[ "Apache-2.0" ]

null

from ..utils import * from .core import * from .language_modeling import * from .question_answering import * from .token_classification import * from .summarization import *

24.857143

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174

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0

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0

1

0

true

0

1

0

1

0

1

0

null

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0

null

0

1

0

1

0

1

0

6

3f967e52bda038d5208b1212e3fcae5818c6f768

2,051

py

Python

src/AuShadha/patient/dijit_fields_constants.py

GosthMan/AuShadha

3ab48825a0dba19bf880b6ac6141ab7a6adf1f3e

[ "PostgreSQL" ]

46

2015-03-04T14:19:47.000Z

2021-12-09T02:58:46.000Z

src/AuShadha/patient/dijit_fields_constants.py

aytida23/AuShadha

3ab48825a0dba19bf880b6ac6141ab7a6adf1f3e

[ "PostgreSQL" ]

2

2015-06-05T10:29:04.000Z

2015-12-06T16:54:10.000Z

src/AuShadha/patient/dijit_fields_constants.py

aytida23/AuShadha

3ab48825a0dba19bf880b6ac6141ab7a6adf1f3e

[ "PostgreSQL" ]

24

2015-03-23T01:38:11.000Z

2022-01-24T16:23:42.000Z

PATIENT_DETAIL_FORM_CONSTANTS = { 'first_name':{ 'max_length': 30, "data-dojo-type": "dijit.form.ValidationTextBox", "data-dojo-props": r"'required' :true ,'regExp':'[a-zA-Z\'-. ]+','invalidMessage':'Invalid Character' " }, 'middle_name':{ 'max_length': 30, "data-dojo-type": "dijit.form.ValidationTextBox", "data-dojo-props": r"'required' : false ,'regExp':'[a-zA-Z\'-. ]+','invalidMessage' : 'Invalid Character'" }, 'last_name':{ 'max_length': 30, "data-dojo-type": "dijit.form.ValidationTextBox", "data-dojo-props": r"'required' : false ,'regExp':'[a-zA-Z\'-. ]+','invalidMessage' : 'Invalid Character'" }, 'patient_hospital_id':{ 'max_length': 30, "data-dojo-type": "dijit.form.ValidationTextBox", "data-dojo-props": r"'required' : true ,'regExp':'[\\w]+','invalidMessage' : 'Invalid Character'" }, 'age':{ 'max_length': 30, "data-dojo-type": "dijit.form.ValidationTextBox", "data-dojo-props": r"'required' : true ,'regExp':'\\d{1,3}','invalidMessage' : 'Only Numbers <1000 are allowed'" }, 'sex':{ 'max_length': 30, "data-dojo-type": "dijit.form.Select", "data-dojo-props": r"'required' : true ,'regExp':'[\\w]+','invalidMessage' : ''" } #, #"parent_clinic":{ #"max_length": 30, #"data-dojo-type": "dijit.form.Select", #"data-dojo-props": r"'required':'true', 'regExp': '', 'invalidMessage': 'Please select a value' " #} }

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0.425646

167

2,051

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0.089848

0.12252

0.806301

0.766628

0.731622

0

0.016393

0.405168

2,051

38

137

53.973684

0.686066

0.083374

0

0.40625

0

0.09375

0.489861

0.182497

0

1

0

false

0

null

0

1

0

null

0

6

3fa2272dd4e8b6e532e5c059cbde3eb8e15dd9de

27

py

Python

rook_client/__init__.py

ceph/rook-client-python

82673cd7c7a3f4919b98706985ff27e57d2c1b94

[ "Apache-2.0" ]

2

2020-02-12T16:06:05.000Z

2021-07-21T03:43:43.000Z

rook_client/__init__.py

ceph/rook-client-python

82673cd7c7a3f4919b98706985ff27e57d2c1b94

[ "Apache-2.0" ]

4

2020-02-13T16:55:33.000Z

2021-09-20T08:22:44.000Z

rook_client/__init__.py

ceph/rook-client-python

82673cd7c7a3f4919b98706985ff27e57d2c1b94

[ "Apache-2.0" ]

11

2020-02-11T13:57:15.000Z

2021-12-07T06:37:36.000Z

from ._helper import STRICT

27

0.851852

4

27

5.5

1

0

0.111111

27

1

27

0.916667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

3fa6135d641688595ad1a77e5bc2e4846d849196

45

py

Python

test/navigator_test/navigator_testing_suite/mission_perception_test/__init__.py

jaxnb/NaviGator

2edb85cf5eab38f62132b3f467814516d2bb05f3

[ "MIT" ]

27

2020-02-17T21:54:09.000Z

2022-03-18T17:49:23.000Z

test/navigator_test/navigator_testing_suite/mission_perception_test/__init__.py

jaxnb/NaviGator

2edb85cf5eab38f62132b3f467814516d2bb05f3

[ "MIT" ]

325

2019-09-11T14:13:56.000Z

2022-03-31T00:38:30.000Z

test/navigator_test/navigator_testing_suite/mission_perception_test/__init__.py

ericgorday/NaviGator

cc929a8609d7a416d0b8c9a95059e296f669464a

[ "MIT" ]

24

2019-09-16T00:29:45.000Z

2022-03-06T10:56:38.000Z

from find_the_break_test_perception import *

22.5

44

0.888889

7

45

5.142857

1

0

0.088889

45

1

45

0.878049

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

3fa88be13c3b525357b2ef387f39d97ef32a4bdb

29

py

Python

ants/learn/__init__.py

xemio/ANTsPy

ef610318e217bb04d3850d480c2e51df695d56c0

[ "Apache-2.0" ]

338

2017-09-01T06:47:54.000Z

2022-03-31T12:11:46.000Z

ants/learn/__init__.py

xemio/ANTsPy

ef610318e217bb04d3850d480c2e51df695d56c0

[ "Apache-2.0" ]

306

2017-08-30T20:05:07.000Z

2022-03-31T16:20:44.000Z

ants/learn/__init__.py

xemio/ANTsPy

ef610318e217bb04d3850d480c2e51df695d56c0

[ "Apache-2.0" ]

115

2017-09-08T11:53:17.000Z

2022-03-27T05:53:39.000Z

from .decomposition import *

14.5

28

0.793103

3

29

7.666667

1

0

0.137931

29

2

28

14.5

0.92

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

3fbf5e1454fa23453ed4ee914edf9e6975816b6e

30

py

Python

pyinfra/api/connectors/sshuserclient/__init__.py

ryan109/pyinfra

6814920c634a2a047299875077633f72ecc46fce

[ "MIT" ]

1

2020-04-12T16:15:15.000Z

pyinfra/api/connectors/sshuserclient/__init__.py

gchazot/pyinfra

40dd01f11086dba2be20fa2f509556abb40d84f8

[ "MIT" ]

null

pyinfra/api/connectors/sshuserclient/__init__.py

gchazot/pyinfra

40dd01f11086dba2be20fa2f509556abb40d84f8

[ "MIT" ]

null

from .client import SSHClient

15

29

0.833333

4

30

6.25

1

0

0.133333

30

1

30

0.961538

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

3fc28663533e6d480fb216a31e1ec314702884b6

139

py

Python

sambung_ayat/views.py

arroganthooman/gomurojaah

93a1835f22e05607ba3dcc9ee2ccd9930b5b69f0

[ "Unlicense" ]

null

sambung_ayat/views.py

arroganthooman/gomurojaah

93a1835f22e05607ba3dcc9ee2ccd9930b5b69f0

[ "Unlicense" ]

null

sambung_ayat/views.py

arroganthooman/gomurojaah

93a1835f22e05607ba3dcc9ee2ccd9930b5b69f0

[ "Unlicense" ]

null

from django.shortcuts import render # Create your views here. def sambungAyat(request): return render(request, "sambung_ayat.html")

23.166667

44

0.76259

18

139

5.833333

0.888889

0

0.151079

139

6

44

23.166667

0.889831

0.165468

0

0.154545

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

b76c1fe85b8ee5e324f4bf10dc0093ef2a8dabf0

2,402

py

Python

tests/test_having_specs.py

scimas/druid_query

7b281ef83e032a2765c9840400baf08c75818fb5

[ "MIT" ]

null

tests/test_having_specs.py

scimas/druid_query

7b281ef83e032a2765c9840400baf08c75818fb5

[ "MIT" ]

null

tests/test_having_specs.py

scimas/druid_query

7b281ef83e032a2765c9840400baf08c75818fb5

[ "MIT" ]

null

import json from druid_query.utils import druid_serealize from druid_query.components import having_specs as hss from druid_query.components import filters as flt def test_json_conversion(): hs = hss.Filter(flt.TrueF()) generated = json.loads(json.dumps(hs, default=druid_serealize)) expected = { 'type': 'filter', 'filter': { 'type': 'true' } } assert generated == expected hs = hss.EqualTo('agg', 2) generated = json.loads(json.dumps(hs, default=druid_serealize)) expected = { 'type': 'equalTo', 'aggregation': 'agg', 'value': 2 } assert generated == expected hs = hss.GreaterThan('agg', 2) generated = json.loads(json.dumps(hs, default=druid_serealize)) expected = { 'type': 'greaterThan', 'aggregation': 'agg', 'value': 2 } assert generated == expected hs = hss.LessThan('agg', 2) generated = json.loads(json.dumps(hs, default=druid_serealize)) expected = { 'type': 'lessThan', 'aggregation': 'agg', 'value': 2 } assert generated == expected hs = hss.DimSelector('dim', 2) generated = json.loads(json.dumps(hs, default=druid_serealize)) expected = { 'type': 'dimSelector', 'dimension': 'dim', 'value': 2 } assert generated == expected hs = hss.And([hss.EqualTo('agg', 2), hss.EqualTo('agg', 2)]) generated = json.loads(json.dumps(hs, default=druid_serealize)) expected = { 'type': 'and', 'havingSpecs': [ {'type': 'equalTo', 'aggregation': 'agg', 'value': 2}, {'type': 'equalTo', 'aggregation': 'agg', 'value': 2} ] } assert generated == expected hs = hss.Or([hss.EqualTo('agg', 2), hss.EqualTo('agg', 2)]) generated = json.loads(json.dumps(hs, default=druid_serealize)) expected = { 'type': 'or', 'havingSpecs': [ {'type': 'equalTo', 'aggregation': 'agg', 'value': 2}, {'type': 'equalTo', 'aggregation': 'agg', 'value': 2} ] } assert generated == expected hs = hss.Not(hss.EqualTo('agg', 2)) generated = json.loads(json.dumps(hs, default=druid_serealize)) expected = { 'type': 'not', 'havingSpec': {'type': 'equalTo', 'aggregation': 'agg', 'value': 2} } assert generated == expected

28.595238

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0.569525

256

2,402

5.285156

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0.093126

0.10643

0.130081

0.824095

0.761271

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0.625277

0

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2,402

83

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0.757232

0

0.506849

0

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1

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0

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0.068493

0

null

0

1

0

null

0

6

b7a7a3a780a3cbabad529c1c0fa99eddcab9d6a8

3,608

py

Python

pycharm-remap/frictionless/frictionless_regex.py

indika/frictionless

3ad2a39f0e1c9d9be3bc677ade5fb4d4045c411b

[ "MIT" ]

null

pycharm-remap/frictionless/frictionless_regex.py

indika/frictionless

3ad2a39f0e1c9d9be3bc677ade5fb4d4045c411b

[ "MIT" ]

null

pycharm-remap/frictionless/frictionless_regex.py

indika/frictionless

3ad2a39f0e1c9d9be3bc677ade5fb4d4045c411b

[ "MIT" ]

null

__author__ = "Indika Piyasena" import logging import unittest import re from mappings.translate import Translate logger = logging.getLogger(__name__) class FrictionlessRegex: def __init__(self): pass @staticmethod def replace_one_keystroke(source, fmap): # <keyboard-shortcut first-keystroke="control alt J" /> pattern = r'<keyboard-shortcut first-keystroke=\"([a-zA-Z0-9_\s]*) ([a-zA-Z0-9_]*)\" />' regex = re.compile(pattern) return regex.sub( lambda match: '<keyboard-shortcut first-keystroke="{0} {1}" />' .format( match.group(1), fmap(match.group(2)) ), source) @staticmethod def replace_two_keystrokes(source, fmap): pattern = r'<keyboard-shortcut first-keystroke=\"([a-zA-Z0-9_\s]*) ([a-zA-Z0-9_]*)\" second-keystroke="([a-zA-Z0-9_\s]*) ([a-zA-Z0-9_]*)" />' regex = re.compile(pattern) return regex.sub( lambda match: '<keyboard-shortcut first-keystroke="{0} {1}" second-keystroke="{2} {3}" />' .format( match.group(1), fmap(match.group(2)), match.group(3), fmap(match.group(4)) ), source) class FrictionlessRegexTestCase(unittest.TestCase): def test_one_keystroke(self): fmap = Translate.map_to_qwerty keystroke = '<keyboard-shortcut first-keystroke="control alt J" />' result = FrictionlessRegex.replace_one_keystroke(keystroke, fmap) print result self.assertEqual( '<keyboard-shortcut first-keystroke="control alt C" />', result) def test_one_keystroke_with_two(self): fmap = Translate.map_to_qwerty keystroke = '<keyboard-shortcut first-keystroke="control alt J" />' result = FrictionlessRegex.replace_two_keystrokes(keystroke, fmap) print result self.assertEqual( '<keyboard-shortcut first-keystroke="control alt J" />', result) def test_one_keystroke_redundant(self): fmap = Translate.map_to_qwerty keystroke = '<action id="CommentByLineComment">' result = FrictionlessRegex.replace_one_keystroke(keystroke, fmap) print result self.assertEqual( '<action id="CommentByLineComment">', result) def test_two_keystrokes(self): fmap = Translate.map_to_qwerty keystroke = '<keyboard-shortcut first-keystroke="meta E" second-keystroke="meta R" />' result = FrictionlessRegex.replace_two_keystrokes(keystroke, fmap) print result self.assertEqual( '<keyboard-shortcut first-keystroke="meta D" second-keystroke="meta O" />', result) def test_two_keystrokes_with_one(self): fmap = Translate.map_to_qwerty keystroke = '<keyboard-shortcut first-keystroke="meta E" second-keystroke="meta R" />' result = FrictionlessRegex.replace_one_keystroke(keystroke, fmap) print result self.assertEqual( '<keyboard-shortcut first-keystroke="meta E" second-keystroke="meta R" />', result) def test_two_keystrokes_redundant(self): fmap = Translate.map_to_qwerty keystroke = '<action id="CommentByLineComment">' result = FrictionlessRegex.replace_two_keystrokes(keystroke, fmap) print result self.assertEqual( '<action id="CommentByLineComment">', result) if __name__ == '__main__': print "Testing FrictionlessRegex in stand-alone-mode" unittest.main()

35.029126

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0.628049

385

3,608

5.698701

0.207792

0.094804

0.12443

0.177758

0.784868

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0.716044

0.683683

0

0.008902

0.252772

3,608

102

150

35.372549

0.804896

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0

0.555556

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0.037037

0.289414

0.140203

0

0.074074

0

null

0.012346

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null

0.08642

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1

0

1

0

1

0

null

0

1

0

6

b7e428545526e21433d8fefd68a57a49d23e5435

29

py

Python

shortenedurls/models/__init__.py

eliasvelardezft/urlshortener

e6e9fb3de1a6cb1481eeba221cdaad91698b0214

[ "MIT" ]

null

shortenedurls/models/__init__.py

eliasvelardezft/urlshortener

e6e9fb3de1a6cb1481eeba221cdaad91698b0214

[ "MIT" ]

null

shortenedurls/models/__init__.py

eliasvelardezft/urlshortener

e6e9fb3de1a6cb1481eeba221cdaad91698b0214

[ "MIT" ]

null

from .shortened_urls import *

29

0.827586

4

29

5.75

1

0

0.103448

29

1

29

0.884615

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

4d262614d34396f006db4672412ecace4d87b960

96,991

py

Python

sdk/python/pulumi_azure_nextgen/cdn/v20191231/outputs.py

test-wiz-sec/pulumi-azure-nextgen

20a695af0d020b34b0f1c336e1b69702755174cc

[ "Apache-2.0" ]

null

sdk/python/pulumi_azure_nextgen/cdn/v20191231/outputs.py

test-wiz-sec/pulumi-azure-nextgen

20a695af0d020b34b0f1c336e1b69702755174cc

[ "Apache-2.0" ]

null

sdk/python/pulumi_azure_nextgen/cdn/v20191231/outputs.py

test-wiz-sec/pulumi-azure-nextgen

20a695af0d020b34b0f1c336e1b69702755174cc

[ "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union from ... import _utilities, _tables from . import outputs __all__ = [ 'CacheExpirationActionParametersResponse', 'CacheKeyQueryStringActionParametersResponse', 'CookiesMatchConditionParametersResponse', 'DeepCreatedOriginGroupResponse', 'DeepCreatedOriginResponse', 'DeliveryRuleCacheExpirationActionResponse', 'DeliveryRuleCacheKeyQueryStringActionResponse', 'DeliveryRuleCookiesConditionResponse', 'DeliveryRuleHttpVersionConditionResponse', 'DeliveryRuleIsDeviceConditionResponse', 'DeliveryRulePostArgsConditionResponse', 'DeliveryRuleQueryStringConditionResponse', 'DeliveryRuleRemoteAddressConditionResponse', 'DeliveryRuleRequestBodyConditionResponse', 'DeliveryRuleRequestHeaderActionResponse', 'DeliveryRuleRequestHeaderConditionResponse', 'DeliveryRuleRequestMethodConditionResponse', 'DeliveryRuleRequestSchemeConditionResponse', 'DeliveryRuleRequestUriConditionResponse', 'DeliveryRuleResponse', 'DeliveryRuleResponseHeaderActionResponse', 'DeliveryRuleUrlFileExtensionConditionResponse', 'DeliveryRuleUrlFileNameConditionResponse', 'DeliveryRuleUrlPathConditionResponse', 'EndpointPropertiesUpdateParametersResponseDeliveryPolicy', 'GeoFilterResponse', 'HeaderActionParametersResponse', 'HealthProbeParametersResponse', 'HttpErrorRangeParametersResponse', 'HttpVersionMatchConditionParametersResponse', 'IsDeviceMatchConditionParametersResponse', 'OriginGroupOverrideActionParametersResponse', 'OriginGroupOverrideActionResponse', 'PostArgsMatchConditionParametersResponse', 'QueryStringMatchConditionParametersResponse', 'RemoteAddressMatchConditionParametersResponse', 'RequestBodyMatchConditionParametersResponse', 'RequestHeaderMatchConditionParametersResponse', 'RequestMethodMatchConditionParametersResponse', 'RequestSchemeMatchConditionParametersResponse', 'RequestUriMatchConditionParametersResponse', 'ResourceReferenceResponse', 'ResponseBasedOriginErrorDetectionParametersResponse', 'SkuResponse', 'UrlFileExtensionMatchConditionParametersResponse', 'UrlFileNameMatchConditionParametersResponse', 'UrlPathMatchConditionParametersResponse', 'UrlRedirectActionParametersResponse', 'UrlRedirectActionResponse', 'UrlRewriteActionParametersResponse', 'UrlRewriteActionResponse', ] @pulumi.output_type class CacheExpirationActionParametersResponse(dict): """ Defines the parameters for the cache expiration action. """ def __init__(__self__, *, cache_behavior: str, cache_type: str, odata_type: str, cache_duration: Optional[str] = None): """ Defines the parameters for the cache expiration action. :param str cache_behavior: Caching behavior for the requests :param str cache_type: The level at which the content needs to be cached. :param str cache_duration: The duration for which the content needs to be cached. Allowed format is [d.]hh:mm:ss """ pulumi.set(__self__, "cache_behavior", cache_behavior) pulumi.set(__self__, "cache_type", cache_type) pulumi.set(__self__, "odata_type", odata_type) if cache_duration is not None: pulumi.set(__self__, "cache_duration", cache_duration) @property @pulumi.getter(name="cacheBehavior") def cache_behavior(self) -> str: """ Caching behavior for the requests """ return pulumi.get(self, "cache_behavior") @property @pulumi.getter(name="cacheType") def cache_type(self) -> str: """ The level at which the content needs to be cached. """ return pulumi.get(self, "cache_type") @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter(name="cacheDuration") def cache_duration(self) -> Optional[str]: """ The duration for which the content needs to be cached. Allowed format is [d.]hh:mm:ss """ return pulumi.get(self, "cache_duration") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class CacheKeyQueryStringActionParametersResponse(dict): """ Defines the parameters for the cache-key query string action. """ def __init__(__self__, *, odata_type: str, query_string_behavior: str, query_parameters: Optional[str] = None): """ Defines the parameters for the cache-key query string action. :param str query_string_behavior: Caching behavior for the requests :param str query_parameters: query parameters to include or exclude (comma separated). """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "query_string_behavior", query_string_behavior) if query_parameters is not None: pulumi.set(__self__, "query_parameters", query_parameters) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter(name="queryStringBehavior") def query_string_behavior(self) -> str: """ Caching behavior for the requests """ return pulumi.get(self, "query_string_behavior") @property @pulumi.getter(name="queryParameters") def query_parameters(self) -> Optional[str]: """ query parameters to include or exclude (comma separated). """ return pulumi.get(self, "query_parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class CookiesMatchConditionParametersResponse(dict): """ Defines the parameters for Cookies match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None, selector: Optional[str] = None, transforms: Optional[Sequence[str]] = None): """ Defines the parameters for Cookies match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not :param str selector: Name of Cookies to be matched :param Sequence[str] transforms: List of transforms """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) if selector is not None: pulumi.set(__self__, "selector", selector) if transforms is not None: pulumi.set(__self__, "transforms", transforms) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") @property @pulumi.getter def selector(self) -> Optional[str]: """ Name of Cookies to be matched """ return pulumi.get(self, "selector") @property @pulumi.getter def transforms(self) -> Optional[Sequence[str]]: """ List of transforms """ return pulumi.get(self, "transforms") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeepCreatedOriginGroupResponse(dict): """ The origin group for CDN content which is added when creating a CDN endpoint. Traffic is sent to the origins within the origin group based on origin health. """ def __init__(__self__, *, name: str, origins: Sequence['outputs.ResourceReferenceResponse'], health_probe_settings: Optional['outputs.HealthProbeParametersResponse'] = None, response_based_origin_error_detection_settings: Optional['outputs.ResponseBasedOriginErrorDetectionParametersResponse'] = None, traffic_restoration_time_to_healed_or_new_endpoints_in_minutes: Optional[int] = None): """ The origin group for CDN content which is added when creating a CDN endpoint. Traffic is sent to the origins within the origin group based on origin health. :param str name: Origin group name which must be unique within the endpoint. :param Sequence['ResourceReferenceResponseArgs'] origins: The source of the content being delivered via CDN within given origin group. :param 'HealthProbeParametersResponseArgs' health_probe_settings: Health probe settings to the origin that is used to determine the health of the origin. :param 'ResponseBasedOriginErrorDetectionParametersResponseArgs' response_based_origin_error_detection_settings: The JSON object that contains the properties to determine origin health using real requests/responses.This property is currently not supported. :param int traffic_restoration_time_to_healed_or_new_endpoints_in_minutes: Time in minutes to shift the traffic to the endpoint gradually when an unhealthy endpoint comes healthy or a new endpoint is added. Default is 10 mins. This property is currently not supported. """ pulumi.set(__self__, "name", name) pulumi.set(__self__, "origins", origins) if health_probe_settings is not None: pulumi.set(__self__, "health_probe_settings", health_probe_settings) if response_based_origin_error_detection_settings is not None: pulumi.set(__self__, "response_based_origin_error_detection_settings", response_based_origin_error_detection_settings) if traffic_restoration_time_to_healed_or_new_endpoints_in_minutes is not None: pulumi.set(__self__, "traffic_restoration_time_to_healed_or_new_endpoints_in_minutes", traffic_restoration_time_to_healed_or_new_endpoints_in_minutes) @property @pulumi.getter def name(self) -> str: """ Origin group name which must be unique within the endpoint. """ return pulumi.get(self, "name") @property @pulumi.getter def origins(self) -> Sequence['outputs.ResourceReferenceResponse']: """ The source of the content being delivered via CDN within given origin group. """ return pulumi.get(self, "origins") @property @pulumi.getter(name="healthProbeSettings") def health_probe_settings(self) -> Optional['outputs.HealthProbeParametersResponse']: """ Health probe settings to the origin that is used to determine the health of the origin. """ return pulumi.get(self, "health_probe_settings") @property @pulumi.getter(name="responseBasedOriginErrorDetectionSettings") def response_based_origin_error_detection_settings(self) -> Optional['outputs.ResponseBasedOriginErrorDetectionParametersResponse']: """ The JSON object that contains the properties to determine origin health using real requests/responses.This property is currently not supported. """ return pulumi.get(self, "response_based_origin_error_detection_settings") @property @pulumi.getter(name="trafficRestorationTimeToHealedOrNewEndpointsInMinutes") def traffic_restoration_time_to_healed_or_new_endpoints_in_minutes(self) -> Optional[int]: """ Time in minutes to shift the traffic to the endpoint gradually when an unhealthy endpoint comes healthy or a new endpoint is added. Default is 10 mins. This property is currently not supported. """ return pulumi.get(self, "traffic_restoration_time_to_healed_or_new_endpoints_in_minutes") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeepCreatedOriginResponse(dict): """ The main origin of CDN content which is added when creating a CDN endpoint. """ def __init__(__self__, *, host_name: str, name: str, enabled: Optional[bool] = None, http_port: Optional[int] = None, https_port: Optional[int] = None, origin_host_header: Optional[str] = None, priority: Optional[int] = None, weight: Optional[int] = None): """ The main origin of CDN content which is added when creating a CDN endpoint. :param str host_name: The address of the origin. It can be a domain name, IPv4 address, or IPv6 address. This should be unique across all origins in an endpoint. :param str name: Origin name which must be unique within the endpoint. :param bool enabled: Origin is enabled for load balancing or not. By default, origin is always enabled. :param int http_port: The value of the HTTP port. Must be between 1 and 65535. :param int https_port: The value of the HTTPS port. Must be between 1 and 65535. :param str origin_host_header: The host header value sent to the origin with each request. If you leave this blank, the request hostname determines this value. Azure CDN origins, such as Web Apps, Blob Storage, and Cloud Services require this host header value to match the origin hostname by default. If endpoint uses multiple origins for load balancing, then the host header at endpoint is ignored and this one is considered. :param int priority: Priority of origin in given origin group for load balancing. Higher priorities will not be used for load balancing if any lower priority origin is healthy.Must be between 1 and 5. :param int weight: Weight of the origin in given origin group for load balancing. Must be between 1 and 1000 """ pulumi.set(__self__, "host_name", host_name) pulumi.set(__self__, "name", name) if enabled is not None: pulumi.set(__self__, "enabled", enabled) if http_port is not None: pulumi.set(__self__, "http_port", http_port) if https_port is not None: pulumi.set(__self__, "https_port", https_port) if origin_host_header is not None: pulumi.set(__self__, "origin_host_header", origin_host_header) if priority is not None: pulumi.set(__self__, "priority", priority) if weight is not None: pulumi.set(__self__, "weight", weight) @property @pulumi.getter(name="hostName") def host_name(self) -> str: """ The address of the origin. It can be a domain name, IPv4 address, or IPv6 address. This should be unique across all origins in an endpoint. """ return pulumi.get(self, "host_name") @property @pulumi.getter def name(self) -> str: """ Origin name which must be unique within the endpoint. """ return pulumi.get(self, "name") @property @pulumi.getter def enabled(self) -> Optional[bool]: """ Origin is enabled for load balancing or not. By default, origin is always enabled. """ return pulumi.get(self, "enabled") @property @pulumi.getter(name="httpPort") def http_port(self) -> Optional[int]: """ The value of the HTTP port. Must be between 1 and 65535. """ return pulumi.get(self, "http_port") @property @pulumi.getter(name="httpsPort") def https_port(self) -> Optional[int]: """ The value of the HTTPS port. Must be between 1 and 65535. """ return pulumi.get(self, "https_port") @property @pulumi.getter(name="originHostHeader") def origin_host_header(self) -> Optional[str]: """ The host header value sent to the origin with each request. If you leave this blank, the request hostname determines this value. Azure CDN origins, such as Web Apps, Blob Storage, and Cloud Services require this host header value to match the origin hostname by default. If endpoint uses multiple origins for load balancing, then the host header at endpoint is ignored and this one is considered. """ return pulumi.get(self, "origin_host_header") @property @pulumi.getter def priority(self) -> Optional[int]: """ Priority of origin in given origin group for load balancing. Higher priorities will not be used for load balancing if any lower priority origin is healthy.Must be between 1 and 5. """ return pulumi.get(self, "priority") @property @pulumi.getter def weight(self) -> Optional[int]: """ Weight of the origin in given origin group for load balancing. Must be between 1 and 1000 """ return pulumi.get(self, "weight") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleCacheExpirationActionResponse(dict): """ Defines the cache expiration action for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.CacheExpirationActionParametersResponse'): """ Defines the cache expiration action for the delivery rule. :param str name: The name of the action for the delivery rule. :param 'CacheExpirationActionParametersResponseArgs' parameters: Defines the parameters for the action. """ pulumi.set(__self__, "name", 'CacheExpiration') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the action for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.CacheExpirationActionParametersResponse': """ Defines the parameters for the action. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleCacheKeyQueryStringActionResponse(dict): """ Defines the cache-key query string action for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.CacheKeyQueryStringActionParametersResponse'): """ Defines the cache-key query string action for the delivery rule. :param str name: The name of the action for the delivery rule. :param 'CacheKeyQueryStringActionParametersResponseArgs' parameters: Defines the parameters for the action. """ pulumi.set(__self__, "name", 'CacheKeyQueryString') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the action for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.CacheKeyQueryStringActionParametersResponse': """ Defines the parameters for the action. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleCookiesConditionResponse(dict): """ Defines the Cookies condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.CookiesMatchConditionParametersResponse'): """ Defines the Cookies condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'CookiesMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'Cookies') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.CookiesMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleHttpVersionConditionResponse(dict): """ Defines the HttpVersion condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.HttpVersionMatchConditionParametersResponse'): """ Defines the HttpVersion condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'HttpVersionMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'HttpVersion') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.HttpVersionMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleIsDeviceConditionResponse(dict): """ Defines the IsDevice condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.IsDeviceMatchConditionParametersResponse'): """ Defines the IsDevice condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'IsDeviceMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'IsDevice') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.IsDeviceMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRulePostArgsConditionResponse(dict): """ Defines the PostArgs condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.PostArgsMatchConditionParametersResponse'): """ Defines the PostArgs condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'PostArgsMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'PostArgs') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.PostArgsMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleQueryStringConditionResponse(dict): """ Defines the QueryString condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.QueryStringMatchConditionParametersResponse'): """ Defines the QueryString condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'QueryStringMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'QueryString') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.QueryStringMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleRemoteAddressConditionResponse(dict): """ Defines the RemoteAddress condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.RemoteAddressMatchConditionParametersResponse'): """ Defines the RemoteAddress condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'RemoteAddressMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'RemoteAddress') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.RemoteAddressMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleRequestBodyConditionResponse(dict): """ Defines the RequestBody condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.RequestBodyMatchConditionParametersResponse'): """ Defines the RequestBody condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'RequestBodyMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'RequestBody') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.RequestBodyMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleRequestHeaderActionResponse(dict): """ Defines the request header action for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.HeaderActionParametersResponse'): """ Defines the request header action for the delivery rule. :param str name: The name of the action for the delivery rule. :param 'HeaderActionParametersResponseArgs' parameters: Defines the parameters for the action. """ pulumi.set(__self__, "name", 'ModifyRequestHeader') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the action for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.HeaderActionParametersResponse': """ Defines the parameters for the action. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleRequestHeaderConditionResponse(dict): """ Defines the RequestHeader condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.RequestHeaderMatchConditionParametersResponse'): """ Defines the RequestHeader condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'RequestHeaderMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'RequestHeader') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.RequestHeaderMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleRequestMethodConditionResponse(dict): """ Defines the RequestMethod condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.RequestMethodMatchConditionParametersResponse'): """ Defines the RequestMethod condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'RequestMethodMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'RequestMethod') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.RequestMethodMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleRequestSchemeConditionResponse(dict): """ Defines the RequestScheme condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.RequestSchemeMatchConditionParametersResponse'): """ Defines the RequestScheme condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'RequestSchemeMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'RequestScheme') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.RequestSchemeMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleRequestUriConditionResponse(dict): """ Defines the RequestUri condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.RequestUriMatchConditionParametersResponse'): """ Defines the RequestUri condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'RequestUriMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'RequestUri') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.RequestUriMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleResponse(dict): """ A rule that specifies a set of actions and conditions """ def __init__(__self__, *, actions: Sequence[Any], order: int, conditions: Optional[Sequence[Any]] = None, name: Optional[str] = None): """ A rule that specifies a set of actions and conditions :param Sequence[Union['DeliveryRuleCacheExpirationActionResponseArgs', 'DeliveryRuleCacheKeyQueryStringActionResponseArgs', 'DeliveryRuleRequestHeaderActionResponseArgs', 'DeliveryRuleResponseHeaderActionResponseArgs', 'OriginGroupOverrideActionResponseArgs', 'UrlRedirectActionResponseArgs', 'UrlRewriteActionResponseArgs']] actions: A list of actions that are executed when all the conditions of a rule are satisfied. :param int order: The order in which the rules are applied for the endpoint. Possible values {0,1,2,3,………}. A rule with a lesser order will be applied before a rule with a greater order. Rule with order 0 is a special rule. It does not require any condition and actions listed in it will always be applied. :param Sequence[Union['DeliveryRuleCookiesConditionResponseArgs', 'DeliveryRuleHttpVersionConditionResponseArgs', 'DeliveryRuleIsDeviceConditionResponseArgs', 'DeliveryRulePostArgsConditionResponseArgs', 'DeliveryRuleQueryStringConditionResponseArgs', 'DeliveryRuleRemoteAddressConditionResponseArgs', 'DeliveryRuleRequestBodyConditionResponseArgs', 'DeliveryRuleRequestHeaderConditionResponseArgs', 'DeliveryRuleRequestMethodConditionResponseArgs', 'DeliveryRuleRequestSchemeConditionResponseArgs', 'DeliveryRuleRequestUriConditionResponseArgs', 'DeliveryRuleUrlFileExtensionConditionResponseArgs', 'DeliveryRuleUrlFileNameConditionResponseArgs', 'DeliveryRuleUrlPathConditionResponseArgs']] conditions: A list of conditions that must be matched for the actions to be executed :param str name: Name of the rule """ pulumi.set(__self__, "actions", actions) pulumi.set(__self__, "order", order) if conditions is not None: pulumi.set(__self__, "conditions", conditions) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter def actions(self) -> Sequence[Any]: """ A list of actions that are executed when all the conditions of a rule are satisfied. """ return pulumi.get(self, "actions") @property @pulumi.getter def order(self) -> int: """ The order in which the rules are applied for the endpoint. Possible values {0,1,2,3,………}. A rule with a lesser order will be applied before a rule with a greater order. Rule with order 0 is a special rule. It does not require any condition and actions listed in it will always be applied. """ return pulumi.get(self, "order") @property @pulumi.getter def conditions(self) -> Optional[Sequence[Any]]: """ A list of conditions that must be matched for the actions to be executed """ return pulumi.get(self, "conditions") @property @pulumi.getter def name(self) -> Optional[str]: """ Name of the rule """ return pulumi.get(self, "name") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleResponseHeaderActionResponse(dict): """ Defines the response header action for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.HeaderActionParametersResponse'): """ Defines the response header action for the delivery rule. :param str name: The name of the action for the delivery rule. :param 'HeaderActionParametersResponseArgs' parameters: Defines the parameters for the action. """ pulumi.set(__self__, "name", 'ModifyResponseHeader') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the action for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.HeaderActionParametersResponse': """ Defines the parameters for the action. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleUrlFileExtensionConditionResponse(dict): """ Defines the UrlFileExtension condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.UrlFileExtensionMatchConditionParametersResponse'): """ Defines the UrlFileExtension condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'UrlFileExtensionMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'UrlFileExtension') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.UrlFileExtensionMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleUrlFileNameConditionResponse(dict): """ Defines the UrlFileName condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.UrlFileNameMatchConditionParametersResponse'): """ Defines the UrlFileName condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'UrlFileNameMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'UrlFileName') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.UrlFileNameMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class DeliveryRuleUrlPathConditionResponse(dict): """ Defines the UrlPath condition for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.UrlPathMatchConditionParametersResponse'): """ Defines the UrlPath condition for the delivery rule. :param str name: The name of the condition for the delivery rule. :param 'UrlPathMatchConditionParametersResponseArgs' parameters: Defines the parameters for the condition. """ pulumi.set(__self__, "name", 'UrlPath') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the condition for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.UrlPathMatchConditionParametersResponse': """ Defines the parameters for the condition. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class EndpointPropertiesUpdateParametersResponseDeliveryPolicy(dict): """ A policy that specifies the delivery rules to be used for an endpoint. """ def __init__(__self__, *, rules: Sequence['outputs.DeliveryRuleResponse'], description: Optional[str] = None): """ A policy that specifies the delivery rules to be used for an endpoint. :param Sequence['DeliveryRuleResponseArgs'] rules: A list of the delivery rules. :param str description: User-friendly description of the policy. """ pulumi.set(__self__, "rules", rules) if description is not None: pulumi.set(__self__, "description", description) @property @pulumi.getter def rules(self) -> Sequence['outputs.DeliveryRuleResponse']: """ A list of the delivery rules. """ return pulumi.get(self, "rules") @property @pulumi.getter def description(self) -> Optional[str]: """ User-friendly description of the policy. """ return pulumi.get(self, "description") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class GeoFilterResponse(dict): """ Rules defining user's geo access within a CDN endpoint. """ def __init__(__self__, *, action: str, country_codes: Sequence[str], relative_path: str): """ Rules defining user's geo access within a CDN endpoint. :param str action: Action of the geo filter, i.e. allow or block access. :param Sequence[str] country_codes: Two letter country codes defining user country access in a geo filter, e.g. AU, MX, US. :param str relative_path: Relative path applicable to geo filter. (e.g. '/mypictures', '/mypicture/kitty.jpg', and etc.) """ pulumi.set(__self__, "action", action) pulumi.set(__self__, "country_codes", country_codes) pulumi.set(__self__, "relative_path", relative_path) @property @pulumi.getter def action(self) -> str: """ Action of the geo filter, i.e. allow or block access. """ return pulumi.get(self, "action") @property @pulumi.getter(name="countryCodes") def country_codes(self) -> Sequence[str]: """ Two letter country codes defining user country access in a geo filter, e.g. AU, MX, US. """ return pulumi.get(self, "country_codes") @property @pulumi.getter(name="relativePath") def relative_path(self) -> str: """ Relative path applicable to geo filter. (e.g. '/mypictures', '/mypicture/kitty.jpg', and etc.) """ return pulumi.get(self, "relative_path") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class HeaderActionParametersResponse(dict): """ Defines the parameters for the request header action. """ def __init__(__self__, *, header_action: str, header_name: str, odata_type: str, value: Optional[str] = None): """ Defines the parameters for the request header action. :param str header_action: Action to perform :param str header_name: Name of the header to modify :param str value: Value for the specified action """ pulumi.set(__self__, "header_action", header_action) pulumi.set(__self__, "header_name", header_name) pulumi.set(__self__, "odata_type", odata_type) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter(name="headerAction") def header_action(self) -> str: """ Action to perform """ return pulumi.get(self, "header_action") @property @pulumi.getter(name="headerName") def header_name(self) -> str: """ Name of the header to modify """ return pulumi.get(self, "header_name") @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def value(self) -> Optional[str]: """ Value for the specified action """ return pulumi.get(self, "value") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class HealthProbeParametersResponse(dict): """ The JSON object that contains the properties to send health probes to origin. """ def __init__(__self__, *, probe_interval_in_seconds: Optional[int] = None, probe_path: Optional[str] = None, probe_protocol: Optional[str] = None, probe_request_type: Optional[str] = None): """ The JSON object that contains the properties to send health probes to origin. :param int probe_interval_in_seconds: The number of seconds between health probes.Default is 240sec. :param str probe_path: The path relative to the origin that is used to determine the health of the origin. :param str probe_protocol: Protocol to use for health probe. :param str probe_request_type: The type of health probe request that is made. """ if probe_interval_in_seconds is not None: pulumi.set(__self__, "probe_interval_in_seconds", probe_interval_in_seconds) if probe_path is not None: pulumi.set(__self__, "probe_path", probe_path) if probe_protocol is not None: pulumi.set(__self__, "probe_protocol", probe_protocol) if probe_request_type is not None: pulumi.set(__self__, "probe_request_type", probe_request_type) @property @pulumi.getter(name="probeIntervalInSeconds") def probe_interval_in_seconds(self) -> Optional[int]: """ The number of seconds between health probes.Default is 240sec. """ return pulumi.get(self, "probe_interval_in_seconds") @property @pulumi.getter(name="probePath") def probe_path(self) -> Optional[str]: """ The path relative to the origin that is used to determine the health of the origin. """ return pulumi.get(self, "probe_path") @property @pulumi.getter(name="probeProtocol") def probe_protocol(self) -> Optional[str]: """ Protocol to use for health probe. """ return pulumi.get(self, "probe_protocol") @property @pulumi.getter(name="probeRequestType") def probe_request_type(self) -> Optional[str]: """ The type of health probe request that is made. """ return pulumi.get(self, "probe_request_type") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class HttpErrorRangeParametersResponse(dict): """ The JSON object that represents the range for http status codes """ def __init__(__self__, *, begin: Optional[int] = None, end: Optional[int] = None): """ The JSON object that represents the range for http status codes :param int begin: The inclusive start of the http status code range. :param int end: The inclusive end of the http status code range. """ if begin is not None: pulumi.set(__self__, "begin", begin) if end is not None: pulumi.set(__self__, "end", end) @property @pulumi.getter def begin(self) -> Optional[int]: """ The inclusive start of the http status code range. """ return pulumi.get(self, "begin") @property @pulumi.getter def end(self) -> Optional[int]: """ The inclusive end of the http status code range. """ return pulumi.get(self, "end") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class HttpVersionMatchConditionParametersResponse(dict): """ Defines the parameters for HttpVersion match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None): """ Defines the parameters for HttpVersion match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class IsDeviceMatchConditionParametersResponse(dict): """ Defines the parameters for IsDevice match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None, transforms: Optional[Sequence[str]] = None): """ Defines the parameters for IsDevice match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not :param Sequence[str] transforms: List of transforms """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) if transforms is not None: pulumi.set(__self__, "transforms", transforms) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") @property @pulumi.getter def transforms(self) -> Optional[Sequence[str]]: """ List of transforms """ return pulumi.get(self, "transforms") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class OriginGroupOverrideActionParametersResponse(dict): """ Defines the parameters for the Origin Group override action. """ def __init__(__self__, *, odata_type: str, origin_group: 'outputs.ResourceReferenceResponse'): """ Defines the parameters for the Origin Group override action. :param 'ResourceReferenceResponseArgs' origin_group: A reference to the origin group from where the content will be fetched from when CDN does not have it """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "origin_group", origin_group) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter(name="originGroup") def origin_group(self) -> 'outputs.ResourceReferenceResponse': """ A reference to the origin group from where the content will be fetched from when CDN does not have it """ return pulumi.get(self, "origin_group") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class OriginGroupOverrideActionResponse(dict): """ Defines the Origin Group override action for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.OriginGroupOverrideActionParametersResponse'): """ Defines the Origin Group override action for the delivery rule. :param str name: The name of the action for the delivery rule. :param 'OriginGroupOverrideActionParametersResponseArgs' parameters: Defines the parameters for the action. """ pulumi.set(__self__, "name", 'OriginGroupOverride') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the action for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.OriginGroupOverrideActionParametersResponse': """ Defines the parameters for the action. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class PostArgsMatchConditionParametersResponse(dict): """ Defines the parameters for PostArgs match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None, selector: Optional[str] = None, transforms: Optional[Sequence[str]] = None): """ Defines the parameters for PostArgs match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not :param str selector: Name of PostArg to be matched :param Sequence[str] transforms: List of transforms """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) if selector is not None: pulumi.set(__self__, "selector", selector) if transforms is not None: pulumi.set(__self__, "transforms", transforms) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") @property @pulumi.getter def selector(self) -> Optional[str]: """ Name of PostArg to be matched """ return pulumi.get(self, "selector") @property @pulumi.getter def transforms(self) -> Optional[Sequence[str]]: """ List of transforms """ return pulumi.get(self, "transforms") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class QueryStringMatchConditionParametersResponse(dict): """ Defines the parameters for QueryString match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None, transforms: Optional[Sequence[str]] = None): """ Defines the parameters for QueryString match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not :param Sequence[str] transforms: List of transforms """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) if transforms is not None: pulumi.set(__self__, "transforms", transforms) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") @property @pulumi.getter def transforms(self) -> Optional[Sequence[str]]: """ List of transforms """ return pulumi.get(self, "transforms") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class RemoteAddressMatchConditionParametersResponse(dict): """ Defines the parameters for RemoteAddress match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None, transforms: Optional[Sequence[str]] = None): """ Defines the parameters for RemoteAddress match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: Match values to match against. The operator will apply to each value in here with OR semantics. If any of them match the variable with the given operator this match condition is considered a match. :param bool negate_condition: Describes if this is negate condition or not :param Sequence[str] transforms: List of transforms """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) if transforms is not None: pulumi.set(__self__, "transforms", transforms) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ Match values to match against. The operator will apply to each value in here with OR semantics. If any of them match the variable with the given operator this match condition is considered a match. """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") @property @pulumi.getter def transforms(self) -> Optional[Sequence[str]]: """ List of transforms """ return pulumi.get(self, "transforms") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class RequestBodyMatchConditionParametersResponse(dict): """ Defines the parameters for RequestBody match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None, transforms: Optional[Sequence[str]] = None): """ Defines the parameters for RequestBody match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not :param Sequence[str] transforms: List of transforms """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) if transforms is not None: pulumi.set(__self__, "transforms", transforms) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") @property @pulumi.getter def transforms(self) -> Optional[Sequence[str]]: """ List of transforms """ return pulumi.get(self, "transforms") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class RequestHeaderMatchConditionParametersResponse(dict): """ Defines the parameters for RequestHeader match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None, selector: Optional[str] = None, transforms: Optional[Sequence[str]] = None): """ Defines the parameters for RequestHeader match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not :param str selector: Name of Header to be matched :param Sequence[str] transforms: List of transforms """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) if selector is not None: pulumi.set(__self__, "selector", selector) if transforms is not None: pulumi.set(__self__, "transforms", transforms) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") @property @pulumi.getter def selector(self) -> Optional[str]: """ Name of Header to be matched """ return pulumi.get(self, "selector") @property @pulumi.getter def transforms(self) -> Optional[Sequence[str]]: """ List of transforms """ return pulumi.get(self, "transforms") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class RequestMethodMatchConditionParametersResponse(dict): """ Defines the parameters for RequestMethod match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None): """ Defines the parameters for RequestMethod match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class RequestSchemeMatchConditionParametersResponse(dict): """ Defines the parameters for RequestScheme match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None): """ Defines the parameters for RequestScheme match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class RequestUriMatchConditionParametersResponse(dict): """ Defines the parameters for RequestUri match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None, transforms: Optional[Sequence[str]] = None): """ Defines the parameters for RequestUri match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not :param Sequence[str] transforms: List of transforms """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) if transforms is not None: pulumi.set(__self__, "transforms", transforms) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") @property @pulumi.getter def transforms(self) -> Optional[Sequence[str]]: """ List of transforms """ return pulumi.get(self, "transforms") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class ResourceReferenceResponse(dict): """ Reference to another resource. """ def __init__(__self__, *, id: Optional[str] = None): """ Reference to another resource. :param str id: Resource ID. """ if id is not None: pulumi.set(__self__, "id", id) @property @pulumi.getter def id(self) -> Optional[str]: """ Resource ID. """ return pulumi.get(self, "id") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class ResponseBasedOriginErrorDetectionParametersResponse(dict): """ The JSON object that contains the properties to determine origin health using real requests/responses. """ def __init__(__self__, *, http_error_ranges: Optional[Sequence['outputs.HttpErrorRangeParametersResponse']] = None, response_based_detected_error_types: Optional[str] = None, response_based_failover_threshold_percentage: Optional[int] = None): """ The JSON object that contains the properties to determine origin health using real requests/responses. :param Sequence['HttpErrorRangeParametersResponseArgs'] http_error_ranges: The list of Http status code ranges that are considered as server errors for origin and it is marked as unhealthy. :param str response_based_detected_error_types: Type of response errors for real user requests for which origin will be deemed unhealthy :param int response_based_failover_threshold_percentage: The percentage of failed requests in the sample where failover should trigger. """ if http_error_ranges is not None: pulumi.set(__self__, "http_error_ranges", http_error_ranges) if response_based_detected_error_types is not None: pulumi.set(__self__, "response_based_detected_error_types", response_based_detected_error_types) if response_based_failover_threshold_percentage is not None: pulumi.set(__self__, "response_based_failover_threshold_percentage", response_based_failover_threshold_percentage) @property @pulumi.getter(name="httpErrorRanges") def http_error_ranges(self) -> Optional[Sequence['outputs.HttpErrorRangeParametersResponse']]: """ The list of Http status code ranges that are considered as server errors for origin and it is marked as unhealthy. """ return pulumi.get(self, "http_error_ranges") @property @pulumi.getter(name="responseBasedDetectedErrorTypes") def response_based_detected_error_types(self) -> Optional[str]: """ Type of response errors for real user requests for which origin will be deemed unhealthy """ return pulumi.get(self, "response_based_detected_error_types") @property @pulumi.getter(name="responseBasedFailoverThresholdPercentage") def response_based_failover_threshold_percentage(self) -> Optional[int]: """ The percentage of failed requests in the sample where failover should trigger. """ return pulumi.get(self, "response_based_failover_threshold_percentage") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class SkuResponse(dict): """ The pricing tier (defines a CDN provider, feature list and rate) of the CDN profile. """ def __init__(__self__, *, name: Optional[str] = None): """ The pricing tier (defines a CDN provider, feature list and rate) of the CDN profile. :param str name: Name of the pricing tier. """ if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter def name(self) -> Optional[str]: """ Name of the pricing tier. """ return pulumi.get(self, "name") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class UrlFileExtensionMatchConditionParametersResponse(dict): """ Defines the parameters for UrlFileExtension match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None, transforms: Optional[Sequence[str]] = None): """ Defines the parameters for UrlFileExtension match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not :param Sequence[str] transforms: List of transforms """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) if transforms is not None: pulumi.set(__self__, "transforms", transforms) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") @property @pulumi.getter def transforms(self) -> Optional[Sequence[str]]: """ List of transforms """ return pulumi.get(self, "transforms") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class UrlFileNameMatchConditionParametersResponse(dict): """ Defines the parameters for UrlFilename match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None, transforms: Optional[Sequence[str]] = None): """ Defines the parameters for UrlFilename match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not :param Sequence[str] transforms: List of transforms """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) if transforms is not None: pulumi.set(__self__, "transforms", transforms) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") @property @pulumi.getter def transforms(self) -> Optional[Sequence[str]]: """ List of transforms """ return pulumi.get(self, "transforms") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class UrlPathMatchConditionParametersResponse(dict): """ Defines the parameters for UrlPath match conditions """ def __init__(__self__, *, odata_type: str, operator: str, match_values: Optional[Sequence[str]] = None, negate_condition: Optional[bool] = None, transforms: Optional[Sequence[str]] = None): """ Defines the parameters for UrlPath match conditions :param str operator: Describes operator to be matched :param Sequence[str] match_values: The match value for the condition of the delivery rule :param bool negate_condition: Describes if this is negate condition or not :param Sequence[str] transforms: List of transforms """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "operator", operator) if match_values is not None: pulumi.set(__self__, "match_values", match_values) if negate_condition is not None: pulumi.set(__self__, "negate_condition", negate_condition) if transforms is not None: pulumi.set(__self__, "transforms", transforms) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter def operator(self) -> str: """ Describes operator to be matched """ return pulumi.get(self, "operator") @property @pulumi.getter(name="matchValues") def match_values(self) -> Optional[Sequence[str]]: """ The match value for the condition of the delivery rule """ return pulumi.get(self, "match_values") @property @pulumi.getter(name="negateCondition") def negate_condition(self) -> Optional[bool]: """ Describes if this is negate condition or not """ return pulumi.get(self, "negate_condition") @property @pulumi.getter def transforms(self) -> Optional[Sequence[str]]: """ List of transforms """ return pulumi.get(self, "transforms") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class UrlRedirectActionParametersResponse(dict): """ Defines the parameters for the url redirect action. """ def __init__(__self__, *, odata_type: str, redirect_type: str, custom_fragment: Optional[str] = None, custom_hostname: Optional[str] = None, custom_path: Optional[str] = None, custom_query_string: Optional[str] = None, destination_protocol: Optional[str] = None): """ Defines the parameters for the url redirect action. :param str redirect_type: The redirect type the rule will use when redirecting traffic. :param str custom_fragment: Fragment to add to the redirect URL. Fragment is the part of the URL that comes after #. Do not include the #. :param str custom_hostname: Host to redirect. Leave empty to use the incoming host as the destination host. :param str custom_path: The full path to redirect. Path cannot be empty and must start with /. Leave empty to use the incoming path as destination path. :param str custom_query_string: The set of query strings to be placed in the redirect URL. Setting this value would replace any existing query string; leave empty to preserve the incoming query string. Query string must be in <key>=<value> format. ? and & will be added automatically so do not include them. :param str destination_protocol: Protocol to use for the redirect. The default value is MatchRequest """ pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "redirect_type", redirect_type) if custom_fragment is not None: pulumi.set(__self__, "custom_fragment", custom_fragment) if custom_hostname is not None: pulumi.set(__self__, "custom_hostname", custom_hostname) if custom_path is not None: pulumi.set(__self__, "custom_path", custom_path) if custom_query_string is not None: pulumi.set(__self__, "custom_query_string", custom_query_string) if destination_protocol is not None: pulumi.set(__self__, "destination_protocol", destination_protocol) @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter(name="redirectType") def redirect_type(self) -> str: """ The redirect type the rule will use when redirecting traffic. """ return pulumi.get(self, "redirect_type") @property @pulumi.getter(name="customFragment") def custom_fragment(self) -> Optional[str]: """ Fragment to add to the redirect URL. Fragment is the part of the URL that comes after #. Do not include the #. """ return pulumi.get(self, "custom_fragment") @property @pulumi.getter(name="customHostname") def custom_hostname(self) -> Optional[str]: """ Host to redirect. Leave empty to use the incoming host as the destination host. """ return pulumi.get(self, "custom_hostname") @property @pulumi.getter(name="customPath") def custom_path(self) -> Optional[str]: """ The full path to redirect. Path cannot be empty and must start with /. Leave empty to use the incoming path as destination path. """ return pulumi.get(self, "custom_path") @property @pulumi.getter(name="customQueryString") def custom_query_string(self) -> Optional[str]: """ The set of query strings to be placed in the redirect URL. Setting this value would replace any existing query string; leave empty to preserve the incoming query string. Query string must be in <key>=<value> format. ? and & will be added automatically so do not include them. """ return pulumi.get(self, "custom_query_string") @property @pulumi.getter(name="destinationProtocol") def destination_protocol(self) -> Optional[str]: """ Protocol to use for the redirect. The default value is MatchRequest """ return pulumi.get(self, "destination_protocol") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class UrlRedirectActionResponse(dict): """ Defines the url redirect action for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.UrlRedirectActionParametersResponse'): """ Defines the url redirect action for the delivery rule. :param str name: The name of the action for the delivery rule. :param 'UrlRedirectActionParametersResponseArgs' parameters: Defines the parameters for the action. """ pulumi.set(__self__, "name", 'UrlRedirect') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the action for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.UrlRedirectActionParametersResponse': """ Defines the parameters for the action. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class UrlRewriteActionParametersResponse(dict): """ Defines the parameters for the url rewrite action. """ def __init__(__self__, *, destination: str, odata_type: str, source_pattern: str, preserve_unmatched_path: Optional[bool] = None): """ Defines the parameters for the url rewrite action. :param str destination: Define the relative URL to which the above requests will be rewritten by. :param str source_pattern: define a request URI pattern that identifies the type of requests that may be rewritten. If value is blank, all strings are matched. :param bool preserve_unmatched_path: Whether to preserve unmatched path. Default value is true. """ pulumi.set(__self__, "destination", destination) pulumi.set(__self__, "odata_type", odata_type) pulumi.set(__self__, "source_pattern", source_pattern) if preserve_unmatched_path is not None: pulumi.set(__self__, "preserve_unmatched_path", preserve_unmatched_path) @property @pulumi.getter def destination(self) -> str: """ Define the relative URL to which the above requests will be rewritten by. """ return pulumi.get(self, "destination") @property @pulumi.getter(name="odataType") def odata_type(self) -> str: return pulumi.get(self, "odata_type") @property @pulumi.getter(name="sourcePattern") def source_pattern(self) -> str: """ define a request URI pattern that identifies the type of requests that may be rewritten. If value is blank, all strings are matched. """ return pulumi.get(self, "source_pattern") @property @pulumi.getter(name="preserveUnmatchedPath") def preserve_unmatched_path(self) -> Optional[bool]: """ Whether to preserve unmatched path. Default value is true. """ return pulumi.get(self, "preserve_unmatched_path") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class UrlRewriteActionResponse(dict): """ Defines the url rewrite action for the delivery rule. """ def __init__(__self__, *, name: str, parameters: 'outputs.UrlRewriteActionParametersResponse'): """ Defines the url rewrite action for the delivery rule. :param str name: The name of the action for the delivery rule. :param 'UrlRewriteActionParametersResponseArgs' parameters: Defines the parameters for the action. """ pulumi.set(__self__, "name", 'UrlRewrite') pulumi.set(__self__, "parameters", parameters) @property @pulumi.getter def name(self) -> str: """ The name of the action for the delivery rule. """ return pulumi.get(self, "name") @property @pulumi.getter def parameters(self) -> 'outputs.UrlRewriteActionParametersResponse': """ Defines the parameters for the action. """ return pulumi.get(self, "parameters") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop

36.836688

785

0.654071

10,580

96,991

5.790359

0.048015

0.017237

0.035862

0.052414

0.765956

0.737684

0.721295

0.701087

0.677092

0.665617

0

0.000875

0.257395

96,991

2,632

786

36.850684

0.849429

0.305987

0

0.701141

1

0

0.156146

0.084657

0

1

0.193295

false

0

0.00428

0.050642

0.39087

0

null

0

1

0

1

0

1

0

null

0

6

4d41baa9c55e44bf02938b6f13b1f9b99c2d757a

37

py

Python

gdacs_reader/exceptions.py

benjiao/gdacs-reader

f45a9f8987446ae0180d49e6bbbcdfe67fa846a3

[ "MIT" ]

1

2021-08-24T09:17:57.000Z

gdacs_reader/exceptions.py

benjiao/gdacs-reader

f45a9f8987446ae0180d49e6bbbcdfe67fa846a3

[ "MIT" ]

null

gdacs_reader/exceptions.py

benjiao/gdacs-reader

f45a9f8987446ae0180d49e6bbbcdfe67fa846a3

[ "MIT" ]

null

from gdacs_reader import GdacsReader

18.5

36

0.891892

5

37

6.4

1

0

0.108108

37

1

37

0.969697

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

4db5a64a23d8ee55d1340ea222ac193d19dfdb8c

138

py

Python

temas/tema1/codigo/t1e2.py

GabJL/FP2021

9c2c80c3bd0b7e112f66475c48ecdcf20b611338

[ "MIT" ]

1

2021-11-29T12:12:48.000Z

temas/tema1/codigo/t1e2.py

GabJL/FP2021

9c2c80c3bd0b7e112f66475c48ecdcf20b611338

[ "MIT" ]

null

temas/tema1/codigo/t1e2.py

GabJL/FP2021

9c2c80c3bd0b7e112f66475c48ecdcf20b611338

[ "MIT" ]

null

from turtle import * print("Dibujando un cuadrado") forward(80) left(90) forward(80) left(90) forward(80) left(90) forward(80) left(90)

10.615385

30

0.724638

23

138

4.347826

0.478261

0.36

0.52

0.6

0

0.132231

0.123188

138

12

31

11.5

0.694215

0

0.8

0

0.152174

0

1

0

true

0

0.1

0

0.1

1

0

null

1

0

1

0

null

0

1

0

6