text string | size int64 | token_count int64 |
|---|---|---|
#! /usr/bin/env nix-shell
#! nix-shell -i python3 -p "[python3] ++ (with pkgs.python37Packages; [ requests future ws4py pytest pylint coveralls twine wheel ])"
# <<END Extended Shebang>>
import json
from pywebostv.discovery import *
from pywebostv.connection import *
from pywebostv.controls import *
with open('/home/camus/.lgtv.json') as f:
store = json.load(f)
client = WebOSClient(store['hostname'])
client.connect()
for status in client.register(store):
if status == WebOSClient.PROMPTED:
print("Please accept the connect on the TV!")
elif status == WebOSClient.REGISTERED:
print("Registration successful!")
ctrl = InputControl(client)
system = SystemControl(client)
media = MediaControl(client)
app = ApplicationControl(client)
inp = InputControl(client)
inp.connect_input()
# vim: set filetype=python :
| 844 | 278 |
#!/usr/bin/python
import realog.debug as debug
import lutin.tools as tools
def get_type():
return "LIBRARY"
def get_desc():
return "Lua interpretic script module"
def get_licence():
return "MIT"
def get_compagny_type():
return "org"
def get_compagny_name():
return "lua"
def get_maintainer():
return "authors.txt"
def get_version():
return "version.txt"
def configure(target, my_module):
my_module.add_depend([
'elog',
'etk',
])
my_module.add_flag('c', [
'-DLUA_VERSION_TAG_NAME="\"5.2\""',
'-Wall',
])
my_module.add_flag('c', '-DLUA_COMPAT_ALL', export=True);
#ifeq ("$(TARGET_OS)","Windows")
# my_module.compile_flags_CC('-D_WIN32')
#else
my_module.add_flag('c', '-DLUA_USE_LINUX')
#endif
my_module.add_src_file([
'lua/lapi.cpp',
'lua/lauxlib.cpp',
'lua/lbaselib.cpp',
'lua/lbitlib.cpp',
'lua/lcode.cpp',
'lua/lcorolib.cpp',
'lua/lctype.cpp',
'lua/ldblib.cpp',
'lua/ldebug.cpp',
'lua/ldo.cpp',
'lua/ldump.cpp',
'lua/lfunc.cpp',
'lua/lgc.cpp',
'lua/linit.cpp',
'lua/liolib.cpp',
'lua/llex.cpp',
'lua/lmathlib.cpp',
'lua/lmem.cpp',
'lua/loadlib.cpp',
'lua/lobject.cpp',
'lua/lopcodes.cpp',
'lua/loslib.cpp',
'lua/lparser.cpp',
'lua/lstate.cpp',
'lua/lstring.cpp',
'lua/lstrlib.cpp',
'lua/ltable.cpp',
'lua/ltablib.cpp',
'lua/ltm.cpp',
'lua/lundump.cpp',
'lua/lvm.cpp',
'lua/lzio.cpp',
])
my_module.add_header_file([
'lua/ltm.h',
'lua/llimits.h',
'lua/lctype.h',
'lua/lgc.h',
'lua/lstring.h',
'lua/lzio.h',
'lua/lmem.h',
'lua/lobject.h',
'lua/lvm.h',
'lua/ldebug.h',
'lua/lundump.h',
'lua/lcode.h',
'lua/ltable.h',
'lua/lfunc.h',
'lua/lparser.h',
'lua/lopcodes.h',
'lua/lua.h',
'lua/ldo.h',
'lua/llex.h',
'lua/lapi.h',
'lua/lstate.h',
'lua/lualib.h',
'lua/lauxlib.h',
'lua/luaconf.h',
])
my_module.compile_version('c', 1999, gnu=False)
return True
| 2,102 | 1,028 |
import pandas
import pytest
from covid_model_seiir_pipeline.lib.io import RegressionRoot
from covid_model_seiir_pipeline.lib.io.marshall import (
CSVMarshall,
ParquetMarshall,
)
class MarshallInterfaceTests:
"""
Mixin class for testing the marshall interface.
"""
def test_parameters_marshall(self, instance, regression_root, parameters):
self.assert_load_dump_workflow_correct(instance, regression_root,
parameters, key=regression_root.ode_parameters(draw_id=4))
def test_coefficients_marshall(self, instance, regression_root, coefficients):
self.assert_load_dump_workflow_correct(instance, regression_root,
coefficients, key=regression_root.coefficients(draw_id=4))
def test_regression_beta_marshall(self, instance, regression_root, regression_beta):
self.assert_load_dump_workflow_correct(instance, regression_root,
regression_beta, key=regression_root.beta(draw_id=4))
def test_no_overwriting(self, instance, regression_root, parameters):
self.assert_load_dump_workflow_correct(instance, regression_root,
parameters, key=regression_root.ode_parameters(draw_id=4))
def test_interface_methods(self, instance):
"Test mandatory interface methods exist."
assert hasattr(instance, "dump")
assert hasattr(instance, "load")
assert hasattr(instance, "exists")
def assert_load_dump_workflow_correct(self, instance, regression_root, data, key):
"Helper method for testing load/dump marshalling does not change data."
instance.touch(*regression_root.terminal_paths())
assert instance.dump(data, key=key) is None, ".dump() returns non-None value"
loaded = instance.load(key=key)
pandas.testing.assert_frame_equal(data, loaded)
def assert_no_accidental_overwrites(self, instance, data, key):
"Test overwriting data implicitly is not supported."
instance.dump(data, key=key)
with pytest.raises(LookupError):
instance.dump(data, key=key)
class TestCSVMarshall(MarshallInterfaceTests):
@pytest.fixture
def regression_root(self, tmpdir):
return RegressionRoot(tmpdir)
@pytest.fixture
def instance(self):
return CSVMarshall
class TestParquetMarshall(MarshallInterfaceTests):
@pytest.fixture
def regression_root(self, tmpdir):
return RegressionRoot(tmpdir)
@pytest.fixture
def instance(self):
return ParquetMarshall
| 2,657 | 753 |
from telegram import Update
from telegram.ext import CallbackContext, CommandHandler
from bot.settings import settings
from bot.utils import get_log
from ._utils import require_owner
log = get_log(__name__)
@require_owner
def command(update: Update, context: CallbackContext):
log.debug('Taken command `settings`')
update.message.reply_markdown('Current VK configuration:\n\n'
f'`APP ID: {settings.VK_APP_ID}`\n'
f'`Group ID: {settings.VK_WALL_ID}`\n'
f'`Access Token: {settings.VK_APP_TOKEN}`\n\n'
'Call /config to update it.')
handler = CommandHandler('settings', command)
| 727 | 210 |
import telegram
from telegram.ext import CommandHandler, ConversationHandler, MessageHandler, \
Filters
from civbot.commands.cmd_cancel import cancel_all
from civbot.models import User, Subscription
SELECT = 1
def add_game(bot, update):
user = User.get_or_none(User.id == update.message.from_user.id)
if not user:
update.message.reply_text('You are not registered!')
return ConversationHandler.END
chat_id = update.message.chat_id
if update.message.chat.type != 'private':
admin_ids = [
admin.user.id for admin in bot.get_chat_administrators(chat_id)
]
if update.message.from_user.id not in admin_ids:
update.message.reply_text('You are not admin of the group!')
return ConversationHandler.END
games = user.games
if len(games) == 0:
update.message.reply_text("You don't have any registered games")
return ConversationHandler.END
games = list(
filter(
lambda g: not (
Subscription.select().where(
Subscription.game == g
).where(
Subscription.chat_id == chat_id
).exists()
),
games
)
)
if len(games) == 0:
update.message.reply_text(
"You don't have any registered games not in this chat"
)
return ConversationHandler.END
games = list(filter(lambda g: g.active, games))
if len(games) == 0:
update.message.reply_text("You don't have any active games")
return ConversationHandler.END
custom_keyboard = []
for game in games:
custom_keyboard.append([game.name])
custom_keyboard.append(['cancel'])
reply_markup = telegram.ReplyKeyboardMarkup(custom_keyboard)
update.message.reply_text('Chose the game', reply_markup=reply_markup)
return SELECT
# noinspection PyUnusedLocal
def select_game(bot, update):
if update.message.text == 'cancel':
update.message.reply_text(
'Canceled',
reply_markup=telegram.ReplyKeyboardRemove()
)
return ConversationHandler.END
user = User.get_or_none(User.id == update.message.from_user.id)
game = [g for g in user.games if g.name == update.message.text]
if len(game) == 0:
update.message.reply_text(
'Game does not exist',
reply_markup=telegram.ReplyKeyboardRemove()
)
return ConversationHandler.END
game = game[0]
chat_id = update.message.chat_id
subscriptions = Subscription.select().where(
Subscription.game == game
).where(
Subscription.chat_id == chat_id
)
if subscriptions.exists():
update.message.reply_text(
'Game has already been added',
reply_markup=telegram.ReplyKeyboardRemove()
)
return ConversationHandler.END
Subscription.create(
game=game,
chat_id=chat_id
)
update.message.reply_text(
f'Subscribed to {game.name}.'
f' This chat will now start receiving notifications for the '
'game. To get notifications, send /register to me as private message',
reply_markup=telegram.ReplyKeyboardRemove())
return ConversationHandler.END
def handle():
return ConversationHandler(
entry_points=[CommandHandler('addgame', add_game)],
states={
SELECT: [MessageHandler(Filters.text, select_game)],
},
fallbacks=[CommandHandler('cancel', cancel_all)]
)
| 3,595 | 1,063 |
# Rule nomad_run generates a runner script to execute nomad run with the given
# job file.
#
# NOTE(kfeng): This rule currently assumes that the nomad executable is
# installed on the host machine, and is in one of the directories listed in
# the PATH environment variable. In the future, this project may fetch
# the nomad executable directly instead of relying on the executable on
# the host machine.
def _impl(ctx):
script = ctx.actions.declare_file(ctx.label.name + ".deploy")
command = "nomad run " + ctx.file.job.short_path
ctx.actions.write(
output = script,
content = command,
is_executable = True,
)
runfiles = ctx.runfiles(files = [ctx.file.job])
return [
DefaultInfo(executable=script, runfiles=runfiles)
]
nomad_run = rule(
implementation = _impl,
attrs = {
"job": attr.label(
allow_single_file = True,
mandatory = True,
),
},
executable = True,
)
| 982 | 287 |
def rmsprop_update(loss, params, grad_sq, lr=1e-1, alpha=0.8):
"""Perform an RMSprop update on a collection of parameters
Args:
loss (tensor): A scalar tensor containing the loss whose gradient will be computed
params (iterable): Collection of parameters with respect to which we compute gradients
grad_sq (iterable): Moving average of squared gradients
lr (float): Scalar specifying the learning rate or step-size for the update
alpha (float): Moving average parameter
"""
# Clear up gradients as Pytorch automatically accumulates gradients from
# successive backward calls
zero_grad(params)
# Compute gradients on given objective
loss.backward()
for (par, gsq) in zip(params, grad_sq):
# Update estimate of gradient variance
gsq.data = alpha * gsq.data + (1-alpha) * par.grad.data**2
# Update parameters
par.data -= lr * (par.grad.data / (1e-8 + gsq.data)**0.5)
set_seed(2021)
model = MLP(in_dim=784, out_dim=10, hidden_dims=[])
print('\n The model parameters before the update are: \n')
print_params(model)
loss = loss_fn(model(X), y).to(DEVICE)
grad_sq = [0.0001*i for i in list(model.parameters())]
## Uncomment below to test your function
rmsprop_update(loss, list(model.parameters()), grad_sq=grad_sq, lr=1e-2)
print('\n The model parameters after the update are: \n')
print_params(model) | 1,355 | 446 |
import logging
from urllib.parse import urljoin
import requests
from thomas import Item, StreamerBase, router
from unplugged import Schema, fields
from twisted.internet import threads
from ...exceptions import NotModifiedException, PathNotFoundException
from ...plugins import InputPlugin
from ...stream import Stream
logger = logging.getLogger(__name__)
class RemoteFilesystemInputSchema(Schema):
url = fields.String()
token = fields.String()
priority = fields.Integer(default=5)
class RemoteFilesystemStreamer:
def __init__(self, plugin, path):
self.plugin = plugin
self.path = path
def evaluate(self):
return self.plugin.config["priority"] + 1
def stream(self):
return self.plugin.stream(self.path)
class RemoteFilesystemInputPlugin(InputPlugin):
plugin_name = "remotefilesystem"
config_schema = RemoteFilesystemInputSchema
simpleadmin_templates = True
def __init__(self, config):
self.config = config
self.route_input_rfs_list = f"input_rfs_list_{self.name}"
router.register_handler(
self.route_input_rfs_list, self.thomas_list, False, True, False
)
self.route_input_rfs_stream = f"input_rfs_stream_{self.name}"
router.register_handler(
self.route_input_rfs_stream, self.thomas_stream, False, False, True
)
def unload(self):
router.unregister_handler(self.route_input_rfs_list)
router.unregister_handler(self.route_input_rfs_stream)
def get_headers(self):
return {"Authorization": f"Token {self.config['token']}"}
def get_item(self, path):
item = Item(id=path.strip().split("/")[-1], router=router)
item.expandable = True
item.streamable = True
self.add_routes(item, path, skip=True)
# item.add_route(self.route_input_rfs_list, False, True, False, kwargs={'path': path})
# item.streamable = True
# item.add_route(self.route_input_rfs_stream, False, False, True, kwargs={'path': path})
return item
def add_routes(self, item, path, skip=False):
if not skip:
if path:
path = f"{path}/{item.id}"
else:
path = item.id
if item.is_streamable:
item.add_route(
self.route_input_rfs_stream, False, False, True, kwargs={"path": path}
)
if item.is_listable:
if item.is_expanded:
for nested_item in item.nested_items:
self.add_routes(nested_item, path)
else:
item.add_route(
self.route_input_rfs_list, False, True, False, kwargs={"path": path}
)
def thomas_list(self, item, path, depth=0, modified_since=None):
logger.info(f"Listing path {path!r} with depth {depth}")
item_id = item.id
headers = self.get_headers()
if modified_since:
headers["If-Modified-Since"] = modified_since.strftime(
"%a, %d %b %Y %H:%M:%S GMT"
)
r = requests.get(
urljoin(self.config["url"].strip("/") + "/", path),
params={"depth": depth},
headers=headers,
)
if r.status_code == 200:
item = Item.unserialize(r.json(), router=router)
item.id = item_id
self.add_routes(item, path, skip=True)
return item
elif r.status_code == 304:
raise NotModifiedException()
elif r.status_code == 404 or r.status_code == 403:
raise PathNotFoundException()
else:
logger.warning(
f"Unknown status code {r.status_code} while listing {self.name}/{path}"
)
def thomas_stream(self, item, path):
logger.info(f"Trying to stream {path!r}")
return RemoteFilesystemStreamer(self, path)
def stream(self, path):
logger.info(f"Trying to stream {path!r}")
headers = self.get_headers()
r = requests.post(
urljoin(self.config["url"].strip("/") + "/", path), headers=headers
)
if r.status_code != 200:
raise PathNotFoundException()
return Stream.unserialize(r.json())
| 4,289 | 1,292 |
from api import get_secret, get_tweepy_api, TwitterApiSecret
import json
SECRET_NAME = "TwitterAPIKeys"
def test_get_secret():
secret = get_secret(SECRET_NAME)
assert secret is not None
assert type(secret) is TwitterApiSecret
assert len(secret.access_token) > 0
assert len(secret.access_token_secret) > 0
assert len(secret.api_key) > 0
assert len(secret.api_secret_key) > 0
def test_get_twitter_api():
secret = get_secret(SECRET_NAME)
api = get_tweepy_api(secret)
assert secret is not None
assert api is not None
public_tweets = api.home_timeline(tweet_mode="extended")
for tweet in public_tweets:
assert len(tweet.full_text) > 0
assert len(json.dumps(tweet._json)) > 0
| 741 | 261 |
# Copyright 2013-present Barefoot Networks, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Thrift SAI interface L2 tests
"""
import sys
# sys.path.append('../')
# from sai_types import *
import socket
from switch import *
import sai_base_test
import random
@group('l2')
class L2AcceptedFrameType(sai_base_test.ThriftInterfaceDataPlane):
def runTest(self):
print
mac1 = '00:11:11:11:11:11'
mac2 = '00:22:22:22:22:22'
vlan_id = 1
hw_port1 = 0
hw_port2 = 1
switch_init2(self.client)
port1 = port_list[hw_port1]
port2 = port_list[hw_port2]
bridge_port1 = br_port_list[port1]
bridge_port2 = br_port_list[port2]
# port2 drops tagged. port1 drops untagged
attr_value = sai_thrift_attribute_value_t(booldata=True)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_DROP_UNTAGGED, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_DROP_TAGGED, value=attr_value)
self.client.sai_thrift_set_port_attribute(port2, attr)
# Create FDB Entries:
mac_action = SAI_PACKET_ACTION_FORWARD
fdb_entry_type = SAI_FDB_ENTRY_TYPE_STATIC
sai_thrift_create_fdb(self.client, mac1, default_bridge_type, vlan_id, None, bridge_port1, mac_action, fdb_entry_type)
sai_thrift_create_fdb(self.client, mac2, default_bridge_type, vlan_id, None, bridge_port2, mac_action, fdb_entry_type)
untagged_pkt1 = simple_tcp_packet(eth_dst='00:22:22:22:22:22',
eth_src='00:11:11:11:11:11',
ip_dst='10.0.0.1',
ip_id=101,
ip_ttl=64)
tagged_pkt1 = simple_tcp_packet(eth_dst='00:22:22:22:22:22',
eth_src='00:11:11:11:11:11',
ip_dst='10.0.0.1',
ip_id=101,
dl_vlan_enable=True,
vlan_vid=vlan_id,
ip_ttl=64,
pktlen=104)
untagged_pkt2 = simple_tcp_packet(eth_dst='00:11:11:11:11:11',
eth_src='00:22:22:22:22:22',
ip_dst='10.0.0.1',
ip_id=101,
ip_ttl=64)
tagged_pkt2 = simple_tcp_packet(eth_dst='00:11:11:11:11:11',
eth_src='00:22:22:22:22:22',
ip_dst='10.0.0.1',
ip_id=101,
dl_vlan_enable=True,
vlan_vid=vlan_id,
ip_ttl=64,
pktlen=104)
try:
print "Sending tagged packet port 0 -> port 1"
send_packet(self, hw_port1, str(tagged_pkt1))
verify_packets(self, tagged_pkt1, [hw_port2])
print "Sending tagged packet port 1 -> port 0"
send_packet(self, hw_port2, str(tagged_pkt2))
verify_no_packet_any(self, tagged_pkt2, port_list.keys())
print "Sending untagged packet port 0 -> port 1"
send_packet(self, hw_port1, str(untagged_pkt1))
verify_no_packet_any(self, untagged_pkt1, port_list.keys())
print "Sending untagged packet port 1 -> port 0"
send_packet(self, hw_port2, str(untagged_pkt2))
verify_packets(self, untagged_pkt2, [hw_port1])
finally:
sai_thrift_delete_fdb(self.client, mac1, vlan_id, default_bridge_type, None)
sai_thrift_delete_fdb(self.client, mac2, vlan_id, default_bridge_type, None)
attr_value = sai_thrift_attribute_value_t(booldata=False)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_DROP_UNTAGGED, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_DROP_TAGGED, value=attr_value)
self.client.sai_thrift_set_port_attribute(port2, attr)
@group('l2')
class L21DBridgeBasicTest(sai_base_test.ThriftInterfaceDataPlane):
def runTest(self):
print
print "Sending L2 packet port 0 -> port 1"
vlan_id = 10
mac1 = '00:11:11:11:11:11'
mac2 = '00:22:22:22:22:22'
hw_port1 = 0
hw_port2 = 1
switch_init2(self.client)
port1 = port_list[hw_port1]
port2 = port_list[hw_port2]
bridge_port1 = br_port_list[port1]
bridge_port2 = br_port_list[port2]
bind_mode = SAI_PORT_BIND_MODE_SUB_PORT
attr_value = sai_thrift_attribute_value_t(s32=bind_mode)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_BIND_MODE, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
# Create 1D Bridge
bridge_type = SAI_BRIDGE_TYPE_1D
bridge_attr_value = sai_thrift_attribute_value_t(s32=bridge_type)
bridge_attr = sai_thrift_attribute_t(id=SAI_BRIDGE_ATTR_TYPE, value=bridge_attr_value)
bridge = self.client.sai_thrift_create_bridge([bridge_attr])
# Create Bridge ports
bridge_port_type = SAI_BRIDGE_PORT_TYPE_SUB_PORT
self.client.sai_thrift_remove_bridge_port(bridge_port1)
self.client.sai_thrift_remove_bridge_port(bridge_port2)
bridge_port1 = sai_thrift_create_bridge_port(self.client, bridge_port_type, port1, vlan_id, bridge)
bridge_port2 = sai_thrift_create_bridge_port(self.client, bridge_port_type, port2, vlan_id, bridge)
# Create FDB Entries:
mac_action = SAI_PACKET_ACTION_FORWARD
fdb_entry_type = SAI_FDB_ENTRY_TYPE_STATIC
sai_thrift_create_fdb(self.client, mac1, bridge_type, None, bridge, bridge_port1, mac_action, fdb_entry_type)
sai_thrift_create_fdb(self.client, mac2, bridge_type, None, bridge, bridge_port2, mac_action, fdb_entry_type)
pkt = simple_tcp_packet(eth_dst='00:22:22:22:22:22',
eth_src='00:11:11:11:11:11',
ip_dst='10.0.0.1',
ip_id=101,
ip_ttl=64)
try:
send_packet(self, hw_port1, str(pkt))
verify_packets(self, pkt, [hw_port2])
finally:
sai_thrift_delete_fdb(self.client, mac1, None, bridge_type, bridge)
sai_thrift_delete_fdb(self.client, mac2, None, bridge_type, bridge)
bind_mode = SAI_PORT_BIND_MODE_PORT
vlan_id = 1
attr_value = sai_thrift_attribute_value_t(s32=bind_mode)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_BIND_MODE, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
bridge_port_type = SAI_BRIDGE_PORT_TYPE_PORT
self.client.sai_thrift_remove_bridge_port(bridge_port1)
self.client.sai_thrift_remove_bridge_port(bridge_port2)
bridge_port1 = sai_thrift_create_bridge_port(self.client, bridge_port_type, port1, None, default_bridge)
bridge_port2 = sai_thrift_create_bridge_port(self.client, bridge_port_type, port2, None, default_bridge)
self.client.sai_thrift_remove_bridge(bridge)
br_port_list[port1] = bridge_port1
br_port_list[port2] = bridge_port2
@group('l2')
class L21QBridgeAccess2AccessTest(sai_base_test.ThriftInterfaceDataPlane):
def runTest(self):
print
print "Sending L2 packet port 0 -> port 1"
mac1 = '00:11:11:11:11:11'
mac2 = '00:22:22:22:22:22'
vlan_id = 10
# Set HW ports
hw_port1 = 0
hw_port2 = 1
switch_init2(self.client)
port1 = port_list[hw_port1]
port2 = port_list[hw_port2]
bridge_port1 = br_port_list[port1]
bridge_port2 = br_port_list[port2]
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
# Create VLAN
vlan_attr_value = sai_thrift_attribute_value_t(u16= vlan_id)
vlan_attr = sai_thrift_attribute_t(id=SAI_VLAN_ATTR_VLAN_ID, value=vlan_attr_value)
vlan_oid = self.client.sai_thrift_create_vlan([vlan_attr])
# tagging_mode = SAI_VLAN_TAGGING_MODE_TAGGED
tagging_mode = SAI_VLAN_TAGGING_MODE_UNTAGGED
vlan_member1 = sai_thrift_create_vlan_member(self.client, vlan_oid, bridge_port1, tagging_mode)
vlan_member2 = sai_thrift_create_vlan_member(self.client, vlan_oid, bridge_port2, tagging_mode)
# SAI_VLAN_ATTR_MEMBER_LIST
# Create FDB Entries:
mac_action = SAI_PACKET_ACTION_FORWARD
fdb_entry_type = SAI_FDB_ENTRY_TYPE_STATIC
bridge_type = SAI_BRIDGE_TYPE_1Q
sai_thrift_create_fdb(self.client, mac1, bridge_type, vlan_id, None, bridge_port1, mac_action, fdb_entry_type)
sai_thrift_create_fdb(self.client, mac2, bridge_type, vlan_id, None, bridge_port2, mac_action, fdb_entry_type)
pkt = simple_tcp_packet(eth_dst='00:22:22:22:22:22',
eth_src='00:11:11:11:11:11',
ip_dst='10.0.0.1',
ip_id=101,
ip_ttl=64)
try:
send_packet(self, hw_port1, str(pkt))
verify_packets(self, pkt, [hw_port2])
finally:
sai_thrift_delete_fdb(self.client, mac1, vlan_id, bridge_type, None)
sai_thrift_delete_fdb(self.client, mac2, vlan_id, bridge_type, None)
self.client.sai_thrift_remove_vlan_member(vlan_member1)
self.client.sai_thrift_remove_vlan_member(vlan_member2)
self.client.sai_thrift_remove_vlan(vlan_oid)
vlan_id = 1
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
@group('l2')
class L21QBridgeAccess2TrunkTest(sai_base_test.ThriftInterfaceDataPlane):
def runTest(self):
print
# switch_init(self.client)
vlan_id = 11
trunk_pvid = 20
mac1 = '00:11:11:11:11:11'
mac2 = '00:22:22:22:22:22'
# Set HW ports
hw_port1 = 0
hw_port2 = 1
print "Sending L2 packet Access(%d) -> Trunk(%d) (trunk vlan=%d)" % (hw_port1, hw_port2, vlan_id)
switch_init2(self.client)
port1 = port_list[hw_port1]
port2 = port_list[hw_port2]
bridge_port1 = br_port_list[port1]
bridge_port2 = br_port_list[port2]
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
# Create VLAN
vlan_attr_value = sai_thrift_attribute_value_t(u16= vlan_id)
vlan_attr = sai_thrift_attribute_t(id=SAI_VLAN_ATTR_VLAN_ID, value=vlan_attr_value)
vlan_oid = self.client.sai_thrift_create_vlan([vlan_attr])
# tagging_mode = SAI_VLAN_TAGGING_MODE_TAGGED
tagging_mode = SAI_VLAN_TAGGING_MODE_UNTAGGED
vlan_member1 = sai_thrift_create_vlan_member(self.client, vlan_oid, bridge_port1, tagging_mode)
tagging_mode = SAI_VLAN_TAGGING_MODE_TAGGED
vlan_member2 = sai_thrift_create_vlan_member(self.client, vlan_oid, bridge_port2, tagging_mode)
# SAI_VLAN_ATTR_MEMBER_LIST
# Create FDB Entries:
mac_action = SAI_PACKET_ACTION_FORWARD
fdb_entry_type = SAI_FDB_ENTRY_TYPE_STATIC
bridge_type = SAI_BRIDGE_TYPE_1Q
sai_thrift_create_fdb(self.client, mac1, bridge_type, vlan_id, None, bridge_port1, mac_action, fdb_entry_type)
sai_thrift_create_fdb(self.client, mac2, bridge_type, vlan_id, None, bridge_port2, mac_action, fdb_entry_type)
pkt = simple_tcp_packet(eth_dst='00:22:22:22:22:22',
eth_src='00:11:11:11:11:11',
ip_dst='10.0.0.1',
ip_id=101,
ip_ttl=64)
exp_pkt = simple_tcp_packet(eth_dst='00:22:22:22:22:22',
eth_src='00:11:11:11:11:11',
ip_dst='10.0.0.1',
ip_id=101,
dl_vlan_enable=True,
vlan_vid=vlan_id,
ip_ttl=64,
pktlen=104)
try:
send_packet(self, hw_port1, str(pkt))
verify_packets(self, exp_pkt, [hw_port2])
finally:
sai_thrift_delete_fdb(self.client, mac1, vlan_id, bridge_type, None)
sai_thrift_delete_fdb(self.client, mac2, vlan_id, bridge_type, None)
self.client.sai_thrift_remove_vlan_member(vlan_member1)
self.client.sai_thrift_remove_vlan_member(vlan_member2)
self.client.sai_thrift_remove_vlan(vlan_oid)
vlan_id = 1
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
@group('l2')
class L21QBridgeTrunk2TrunkTest(sai_base_test.ThriftInterfaceDataPlane):
def runTest(self):
print
# switch_init(self.client)
vlan_id = 12
trunk_pvid = 20
mac1 = '00:11:11:11:11:11'
mac2 = '00:22:22:22:22:22'
# Set HW ports
hw_port1 = 0
hw_port2 = 1
print "Sending L2 packet Trunk(%d) -> Trunk(%d) (trunk vlan=%d)" % (hw_port1, hw_port2, vlan_id)
switch_init2(self.client)
port1 = port_list[hw_port1]
port2 = port_list[hw_port2]
bridge_port1 = br_port_list[port1]
bridge_port2 = br_port_list[port2]
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
# Create VLAN
vlan_attr_value = sai_thrift_attribute_value_t(u16= vlan_id)
vlan_attr = sai_thrift_attribute_t(id=SAI_VLAN_ATTR_VLAN_ID, value=vlan_attr_value)
vlan_oid = self.client.sai_thrift_create_vlan([vlan_attr])
tagging_mode = SAI_VLAN_TAGGING_MODE_TAGGED
vlan_member1 = sai_thrift_create_vlan_member(self.client, vlan_oid, bridge_port1, tagging_mode)
vlan_member2 = sai_thrift_create_vlan_member(self.client, vlan_oid, bridge_port2, tagging_mode)
# SAI_VLAN_ATTR_MEMBER_LIST
# Create FDB Entries:
mac_action = SAI_PACKET_ACTION_FORWARD
fdb_entry_type = SAI_FDB_ENTRY_TYPE_STATIC
bridge_type = SAI_BRIDGE_TYPE_1Q
sai_thrift_create_fdb(self.client, mac1, bridge_type, vlan_id, None, bridge_port1, mac_action, fdb_entry_type)
sai_thrift_create_fdb(self.client, mac2, bridge_type, vlan_id, None, bridge_port2, mac_action, fdb_entry_type)
pkt = simple_tcp_packet(eth_dst='00:22:22:22:22:22',
eth_src='00:11:11:11:11:11',
ip_dst='10.0.0.1',
ip_id=101,
dl_vlan_enable=True,
vlan_vid=vlan_id,
ip_ttl=64)
exp_pkt = simple_tcp_packet(eth_dst='00:22:22:22:22:22',
eth_src='00:11:11:11:11:11',
ip_dst='10.0.0.1',
ip_id=101,
dl_vlan_enable=True,
vlan_vid=vlan_id,
ip_ttl=64)
try:
send_packet(self, hw_port1, str(pkt))
verify_packets(self, exp_pkt, [hw_port2])
finally:
sai_thrift_delete_fdb(self.client, mac1, vlan_id, bridge_type, None)
sai_thrift_delete_fdb(self.client, mac2, vlan_id, bridge_type, None)
self.client.sai_thrift_remove_vlan_member(vlan_member1)
self.client.sai_thrift_remove_vlan_member(vlan_member2)
self.client.sai_thrift_remove_vlan(vlan_oid)
vlan_id = 1
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
@group('l2')
class L21QBridgeTrunk2AccessTest(sai_base_test.ThriftInterfaceDataPlane):
def runTest(self):
print
# switch_init(self.client)
vlan_id = 13
trunk_pvid = 20
mac1 = '00:11:11:11:11:11'
mac2 = '00:22:22:22:22:22'
# Set HW ports
hw_port1 = 0
hw_port2 = 1
print "Sending L2 packet Trunk(%d) -> Access(%d) (trunk vlan=%d)" % (hw_port1, hw_port2, vlan_id)
switch_init2(self.client)
port1 = port_list[hw_port1]
port2 = port_list[hw_port2]
bridge_port1 = br_port_list[port1]
bridge_port2 = br_port_list[port2]
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
# Create VLAN
vlan_attr_value = sai_thrift_attribute_value_t(u16= vlan_id)
vlan_attr = sai_thrift_attribute_t(id=SAI_VLAN_ATTR_VLAN_ID, value=vlan_attr_value)
vlan_oid = self.client.sai_thrift_create_vlan([vlan_attr])
tagging_mode = SAI_VLAN_TAGGING_MODE_TAGGED
vlan_member1 = sai_thrift_create_vlan_member(self.client, vlan_oid, bridge_port1, tagging_mode)
tagging_mode = SAI_VLAN_TAGGING_MODE_UNTAGGED
vlan_member2 = sai_thrift_create_vlan_member(self.client, vlan_oid, bridge_port2, tagging_mode)
# SAI_VLAN_ATTR_MEMBER_LIST
# Create FDB Entries:
mac_action = SAI_PACKET_ACTION_FORWARD
fdb_entry_type = SAI_FDB_ENTRY_TYPE_STATIC
bridge_type = SAI_BRIDGE_TYPE_1Q
sai_thrift_create_fdb(self.client, mac1, bridge_type, vlan_id, None, bridge_port1, mac_action, fdb_entry_type)
sai_thrift_create_fdb(self.client, mac2, bridge_type, vlan_id, None, bridge_port2, mac_action, fdb_entry_type)
pkt = simple_tcp_packet(eth_dst='00:22:22:22:22:22',
eth_src='00:11:11:11:11:11',
ip_dst='10.0.0.1',
ip_id=101,
dl_vlan_enable=True,
vlan_vid=vlan_id,
ip_ttl=64)
exp_pkt = simple_tcp_packet(eth_dst='00:22:22:22:22:22',
eth_src='00:11:11:11:11:11',
ip_dst='10.0.0.1',
ip_id=101,
ip_ttl=64,
pktlen=96)
try:
send_packet(self, hw_port1, str(pkt))
verify_packets(self, exp_pkt, [hw_port2])
finally:
sai_thrift_delete_fdb(self.client, mac1, vlan_id, bridge_type, None)
sai_thrift_delete_fdb(self.client, mac2, vlan_id, bridge_type, None)
self.client.sai_thrift_remove_vlan_member(vlan_member1)
self.client.sai_thrift_remove_vlan_member(vlan_member2)
self.client.sai_thrift_remove_vlan(vlan_oid)
vlan_id = 1
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
@group('l2')
class L21DLagTest(sai_base_test.ThriftInterfaceDataPlane):
def runTest(self):
print
print "Sending 3 L2 (1D) Lag packets port 0 -> port 1/2/3"
mac1 = '00:11:11:11:11:11'
mac2 = '00:22:22:22:22:22'
# Set HW ports
hw_port1 = 0
hw_port2 = 1
hw_port3 = 2
hw_port4 = 3
hw_port5 = 4
switch_init2(self.client)
port1 = port_list[hw_port1]
port2 = port_list[hw_port2]
port3 = port_list[hw_port3]
port4 = port_list[hw_port4]
port5 = port_list[hw_port5]
bridge_port1 = br_port_list[port1]
bridge_port2 = br_port_list[port2]
bridge_port3 = br_port_list[port3]
bridge_port4 = br_port_list[port4]
bridge_port5 = br_port_list[port5]
vlan_id = 15
bind_mode = SAI_PORT_BIND_MODE_SUB_PORT
attr_value = sai_thrift_attribute_value_t(s32=bind_mode)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_BIND_MODE, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
self.client.sai_thrift_set_port_attribute(port3, attr)
self.client.sai_thrift_set_port_attribute(port4, attr)
self.client.sai_thrift_set_port_attribute(port5, attr)
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
self.client.sai_thrift_set_port_attribute(port3, attr)
self.client.sai_thrift_set_port_attribute(port4, attr)
self.client.sai_thrift_set_port_attribute(port5, attr)
# Create LAG
lag = self.client.sai_thrift_create_lag([])
lag_member1 = sai_thrift_create_lag_member(self.client, port2, lag)
# lag_member2 = sai_thrift_create_lag_member(self.client, port3, lag)
lag_member3 = sai_thrift_create_lag_member(self.client, port4, lag)
lag_member4 = sai_thrift_create_lag_member(self.client, port5, lag)
# self.client.sai_thrift_remove_lag_member(lag_member2) # Check remove_lag_member from middle of list. shouldn't mess with hash.
# Set LAG Vlan attr
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(lag, attr)
# Create 1D Bridge
bridge_type = SAI_BRIDGE_TYPE_1D
bridge_attr_value = sai_thrift_attribute_value_t(s32= bridge_type)
bridge_attr = sai_thrift_attribute_t(id=SAI_BRIDGE_ATTR_TYPE, value=bridge_attr_value)
bridge = self.client.sai_thrift_create_bridge([bridge_attr])
# Create Bridge ports
bridge_port_type = SAI_BRIDGE_PORT_TYPE_SUB_PORT
self.client.sai_thrift_remove_bridge_port(bridge_port1)
self.client.sai_thrift_remove_bridge_port(bridge_port2)
self.client.sai_thrift_remove_bridge_port(bridge_port4)
self.client.sai_thrift_remove_bridge_port(bridge_port5)
bridge_port1 = sai_thrift_create_bridge_port(self.client, bridge_port_type, port1, vlan_id, bridge)
bridge_port2 = sai_thrift_create_bridge_port(self.client, bridge_port_type, lag, vlan_id, bridge)
# Create FDB Entries:
mac_action = SAI_PACKET_ACTION_FORWARD
fdb_entry_type = SAI_FDB_ENTRY_TYPE_STATIC
fdb_bridge_type = SAI_FDB_ENTRY_BRIDGE_TYPE_1D
sai_thrift_create_fdb(self.client, mac1, fdb_bridge_type, None, bridge, bridge_port1, mac_action, fdb_entry_type)
sai_thrift_create_fdb(self.client, mac2, fdb_bridge_type, None, bridge, bridge_port2, mac_action, fdb_entry_type)
pkt = simple_tcp_packet(eth_dst='00:11:11:11:11:11',
eth_src='00:22:22:22:22:22',
ip_dst='10.0.0.1',
ip_id=101,
ip_ttl=64)
try:
send_packet(self, hw_port2, str(pkt))
verify_packets(self, pkt, [hw_port1])
for ip_id in [101,103,105,107]:
pkt = simple_tcp_packet(eth_dst='00:22:22:22:22:22',
eth_src='00:11:11:11:11:11',
ip_dst='10.0.0.1',
ip_id=ip_id,
ip_ttl=64)
send_packet(self, hw_port1, str(pkt))
verify_packets_any(self, pkt, [hw_port2, hw_port4, hw_port5])
finally:
sai_thrift_delete_fdb(self.client, mac1, None, bridge_type, bridge)
sai_thrift_delete_fdb(self.client, mac2, None, bridge_type, bridge)
vlan_id = 1
bind_mode = SAI_PORT_BIND_MODE_PORT
attr_value = sai_thrift_attribute_value_t(s32=bind_mode)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_BIND_MODE, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
self.client.sai_thrift_set_port_attribute(port3, attr)
self.client.sai_thrift_set_port_attribute(port4, attr)
self.client.sai_thrift_set_port_attribute(port5, attr)
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
self.client.sai_thrift_set_port_attribute(port3, attr)
self.client.sai_thrift_set_port_attribute(port4, attr)
self.client.sai_thrift_set_port_attribute(port5, attr)
self.client.sai_thrift_remove_lag_member(lag_member1)
self.client.sai_thrift_remove_lag_member(lag_member4)
self.client.sai_thrift_remove_lag_member(lag_member3)
self.client.sai_thrift_remove_lag(lag)
bridge_port_type = SAI_BRIDGE_PORT_TYPE_PORT
self.client.sai_thrift_remove_bridge_port(bridge_port1)
self.client.sai_thrift_remove_bridge_port(bridge_port2)
self.client.sai_thrift_remove_bridge(bridge)
bridge_port1 = sai_thrift_create_bridge_port(self.client, bridge_port_type, port1, None, default_bridge)
bridge_port2 = sai_thrift_create_bridge_port(self.client, bridge_port_type, port2, None, default_bridge)
bridge_port4 = sai_thrift_create_bridge_port(self.client, bridge_port_type, port4, None, default_bridge)
bridge_port5 = sai_thrift_create_bridge_port(self.client, bridge_port_type, port5, None, default_bridge)
br_port_list[port1] = bridge_port1
br_port_list[port2] = bridge_port2
br_port_list[port4] = bridge_port4
br_port_list[port5] = bridge_port5
@group('l2')
class L21QLagTest(sai_base_test.ThriftInterfaceDataPlane):
def runTest(self):
switch_init2(self.client)
print "Sending 3 L2 (1Q Access2Access) Lag packets port 0 -> port 1/2/3"
mac1 = '00:11:11:11:11:11'
mac2 = '00:22:22:22:22:22'
# Set HW ports
hw_port1 = 0
hw_port2 = 1
hw_port3 = 2
hw_port4 = 3
port1 = port_list[hw_port1]
port2 = port_list[hw_port2]
port3 = port_list[hw_port3]
port4 = port_list[hw_port4]
bridge_port1 = br_port_list[port1]
bridge_port2 = br_port_list[port2]
bridge_port3 = br_port_list[port3]
bridge_port4 = br_port_list[port4]
vlan_id = 15
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
self.client.sai_thrift_set_port_attribute(port3, attr)
self.client.sai_thrift_set_port_attribute(port4, attr)
# Create LAG
lag = self.client.sai_thrift_create_lag([])
lag_member1 = sai_thrift_create_lag_member(self.client, port4, lag)
lag_member2 = sai_thrift_create_lag_member(self.client, port2, lag)
lag_member3 = sai_thrift_create_lag_member(self.client, port3, lag)
# Set LAG Vlan attr
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(lag, attr)
# Create Lag Bridge port
bridge_port_type = SAI_BRIDGE_PORT_TYPE_PORT
self.client.sai_thrift_remove_bridge_port(bridge_port2)
self.client.sai_thrift_remove_bridge_port(bridge_port3)
self.client.sai_thrift_remove_bridge_port(bridge_port4)
bridge_port2 = sai_thrift_create_bridge_port(self.client, bridge_port_type, lag, None, default_bridge)
# Create VLAN
vlan_attr_value = sai_thrift_attribute_value_t(u16= vlan_id)
vlan_attr = sai_thrift_attribute_t(id=SAI_VLAN_ATTR_VLAN_ID, value=vlan_attr_value)
vlan_oid = self.client.sai_thrift_create_vlan([vlan_attr])
# tagging_mode = SAI_VLAN_TAGGING_MODE_TAGGED
tagging_mode = SAI_VLAN_TAGGING_MODE_UNTAGGED
vlan_member1 = sai_thrift_create_vlan_member(self.client, vlan_oid, bridge_port1, tagging_mode)
vlan_member2 = sai_thrift_create_vlan_member(self.client, vlan_oid, bridge_port2, tagging_mode)
# Create FDB Entries:
mac_action = SAI_PACKET_ACTION_FORWARD
fdb_entry_type = SAI_FDB_ENTRY_TYPE_STATIC
bridge_type = SAI_BRIDGE_TYPE_1Q
sai_thrift_create_fdb(self.client, mac1, bridge_type, vlan_id, None, bridge_port1, mac_action, fdb_entry_type)
sai_thrift_create_fdb(self.client, mac2, bridge_type, vlan_id, None, bridge_port2, mac_action, fdb_entry_type)
pkt = simple_tcp_packet(eth_dst='00:11:11:11:11:11',
eth_src='00:22:22:22:22:22',
ip_dst='10.0.0.1',
ip_id=101,
ip_ttl=64)
try:
send_packet(self, hw_port3, str(pkt))
verify_packets(self, pkt, [hw_port1])
for ip_id in [101,103,105]:
pkt = simple_tcp_packet(eth_dst='00:22:22:22:22:22',
eth_src='00:11:11:11:11:11',
ip_dst='10.0.0.1',
ip_id=ip_id,
ip_ttl=64)
send_packet(self, hw_port1, str(pkt))
verify_packets_any(self, pkt, [hw_port2, hw_port3, hw_port4])
finally:
sai_thrift_delete_fdb(self.client, mac1, vlan_id, bridge_type, None)
sai_thrift_delete_fdb(self.client, mac2, vlan_id, bridge_type, None)
vlan_id = 1
self.client.sai_thrift_remove_vlan_member(vlan_member1)
self.client.sai_thrift_remove_vlan_member(vlan_member2)
self.client.sai_thrift_remove_vlan(vlan_oid)
self.client.sai_thrift_remove_bridge_port(bridge_port2)
bridge_port2 = sai_thrift_create_bridge_port(self.client, bridge_port_type, port2, None, default_bridge)
bridge_port3 = sai_thrift_create_bridge_port(self.client, bridge_port_type, port3, None, default_bridge)
bridge_port4 = sai_thrift_create_bridge_port(self.client, bridge_port_type, port4, None, default_bridge)
br_port_list[port2] = bridge_port2
br_port_list[port3] = bridge_port3
br_port_list[port4] = bridge_port4
self.client.sai_thrift_remove_lag_member(lag_member1)
self.client.sai_thrift_remove_lag_member(lag_member2)
self.client.sai_thrift_remove_lag_member(lag_member3)
self.client.sai_thrift_remove_lag(lag)
attr_value = sai_thrift_attribute_value_t(u16=vlan_id)
attr = sai_thrift_attribute_t(id=SAI_PORT_ATTR_PORT_VLAN_ID, value=attr_value)
self.client.sai_thrift_set_port_attribute(port1, attr)
self.client.sai_thrift_set_port_attribute(port2, attr)
self.client.sai_thrift_set_port_attribute(port3, attr)
self.client.sai_thrift_set_port_attribute(port4, attr)
| 34,698 | 13,150 |
from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from model.exp_model import Experience, ExperienceSchema
class ExperienceService(object):
def __init__(self, app:Flask, db:SQLAlchemy) -> None:
self.app = app
self.db = db
self.exp_schema = ExperienceSchema()
self.exps_schema = ExperienceSchema(many=True)
# Creating new experience
def add_experience(self):
description = request.json['description']
employee_id = request.json['employee_id']
start_date = request.json['start_date']
end_date = request.json['end_date']
new_experience = Experience(employee_id, description, start_date, end_date)
self.db.session.add(new_experience)
self.db.session.commit()
return self.exp_schema.jsonify(new_experience)
# Retreiving all experiences
def get_experiences(self):
all_experiences = Experience.query.all()
return jsonify(self.exps_schema.dump(all_experiences))
# Retreiving single experience
def get_experience(self, id):
experience = Experience.query.get(id)
return self.exp_schema.jsonify(experience)
# Updating single experience
def update_experience(self, id):
experience = Experience.query.get(id)
employee_id = request.json['employee_id']
description = request.json['description']
start_date = request.json['start_date']
end_date = request.json['end_date']
experience.employee_id = employee_id
experience.description = description
experience.start_date = start_date
experience.end_date = end_date
self.db.session.commit()
return self.exp_schema.jsonify(experience)
# Deleting single experience
def delete_experience(self, id):
experience = Experience.query.get(id)
self.db.session.delete(experience)
self.db.session.commit()
return self.exp_schema.jsonify(experience) | 2,024 | 603 |
""" Code for turning a GAE Search query into a SOLR query. """
import logging
import sys
from constants import INDEX_NAME_FIELD, INDEX_LOCALE_FIELD
from appscale.common.unpackaged import APPSCALE_PYTHON_APPSERVER
sys.path.append(APPSCALE_PYTHON_APPSERVER)
from google.appengine.api.search import query_parser
from google.appengine.api.search import QueryParser
class ParsingError(ValueError):
pass
def prepare_solr_query(index, gae_query, projection_fields,
sort_fields, limit, offset):
""" Constructor query parameters dict to be sent to Solr.
Args:
index: An Index for the query to run.
gae_query: A str representing query sent by user.
projection_fields: A list of fields to fetch for each document.
sort_fields: a list of tuples of form (<FieldName>, "desc"/"asc")
limit: a max number of document to return.
offset: an integer representing offset.
Returns:
A dict containing http query params to be sent to Solr.
"""
params = {}
solr_query = '{}:{}'.format(INDEX_NAME_FIELD, index.name)
if not isinstance(gae_query, unicode):
gae_query = unicode(gae_query, 'utf-8')
logging.debug(u'GAE Query: {}'.format(gae_query))
if gae_query:
query_tree = query_parser.ParseAndSimplify(gae_query)
logging.debug(u'Tree dump: {}'.format(query_tree.toStringTree()))
solr_query += ' AND ' + _create_query_string(index.name, query_tree)
params['q'] = solr_query
# Use edismax as the parsing engine for more query abilities.
params['defType'] = 'edismax'
# Restrict to only known index fields.
search_fields = ['id'] + [field['name'] for field in index.schema]
params['qf'] = ' '.join(search_fields)
# Get the field list for the query.
if projection_fields:
fields_list = ['id', INDEX_NAME_FIELD, INDEX_LOCALE_FIELD] + [
'{}_{}'.format(index.name, field_name)
for field_name in projection_fields
]
params['fl'] = ' '.join(fields_list)
# Set sort order.
if sort_fields:
sort_list = _get_sort_list(index.name, sort_fields)
params['sort'] = ','.join(sort_list)
params['rows'] = limit
params['start'] = offset
logging.debug(u'Solr request params: {}'.format(params))
return params
def _get_sort_list(index_name, sort_fields):
""" Generates a list of Solr sort expressions:
strings containing fields name and direction.
Args:
index_name: A str representing full index name (appID_namespace_index).
sort_fields: A list of tuples of form (<FieldName>, "desc"/"asc").
Returns:
A list containing fields with direction to order by.
"""
#TODO deal with default values of sort expressions.
field_list = []
for field_name, direction in sort_fields:
new_field = '{}_{} {}'.format(index_name, field_name, direction)
field_list.append(new_field)
return field_list
def _create_query_string(index_name, query_tree):
""" Creates a SOLR query string from a antlr3 parse tree.
Args:
index_name: A str representing full index name (appID_namespace_index).
query_tree: A antlr3.tree.CommonTree.
Returns:
A string which can be sent to SOLR.
"""
query_tree_type = query_tree.getType()
has_nested = query_tree_type in [
QueryParser.CONJUNCTION, QueryParser.DISJUNCTION, QueryParser.NEGATION
]
if has_nested:
# Processes nested query parts
nested = [
_create_query_string(index_name, child)
for child in query_tree.children
]
if query_tree_type == QueryParser.CONJUNCTION:
return '({})'.format(' AND '.join(nested))
if query_tree_type == QueryParser.DISJUNCTION:
return '({})'.format(' OR '.join(nested))
if query_tree_type == QueryParser.NEGATION:
return 'NOT ({})'.format(' AND '.join(nested))
# Process leaf of the tree
if query_tree_type in query_parser.COMPARISON_TYPES:
field, match = query_tree.children
if field.getType() == QueryParser.GLOBAL:
value = query_parser.GetQueryNodeText(match).strip('"')
escaped_value = value.replace('"', '\\"')
return '"{}"'.format(escaped_value)
else:
field_name = query_parser.GetQueryNodeText(field)
value = query_parser.GetQueryNodeText(match).strip('"')
internal_field_name = '{}_{}'.format(index_name, field_name)
escaped_value = value.replace('"', '\\"')
oper = _get_operator(query_tree_type)
return '{}{}"{}"'.format(internal_field_name, oper, escaped_value)
else:
raise ParsingError('Unexpected query tree type: {}'.format(query_tree_type))
# TODO handle range operators
def _get_operator(op_code):
""" Returns the string equivalent of the operation code.
Args:
op_code: An int which maps to a comparison operator.
Returns:
A str, the SOLR operator which maps from the operator code.
"""
# TODO
if op_code == QueryParser.EQ:
return ':'
return ':'
| 4,850 | 1,563 |
import sys
import pickle
def create_evaluable_CAG(input, output):
with open(input, "rb") as f:
G = pickle.load(f)
G.res = 200
G.assemble_transition_model_from_gradable_adjectives()
G.sample_from_prior()
with open(output, "wb") as f:
pickle.dump(G, f)
if __name__ == "__main__":
create_evaluable_CAG(sys.argv[1], sys.argv[2])
| 367 | 147 |
byt = open("xor_key.bin", "rb").read()
final = "\x00\x00\x00\x00\x6A\x00\x6A\x00\x68".encode()
final = [e for e in final]
final.append(0x26)
final.append(0xFC)
final.append(0x19)
final.append(0x00)
final.append(0x6A)
final.append(0x00)
final = [e for e in final]
final.append(0xB8)
final.append(0xC8)
final.append(0x59)
final.append(0x51)
final.append(0x00)
final.append(0xFF)
final.append(0xE0)
pwn_str = "Game has been pwnd\x00".encode()
for e in pwn_str:
final.append(e)
while len(final) != 0x220:
final.append(0x61)
final.append(0x14)
final.append(0xFC)
final.append(0x19)
final.append(0x00)
final = bytearray(bytes(final))
for index,_ in enumerate(final[4:]):
final[4+index] ^= byt[index%0x190]
with open("texture.dat", "wb") as f:
f.write(final)
| 774 | 384 |
''' Incremental-Classifier Learning
Authors : Khurram Javed, Muhammad Talha Paracha
Maintainer : Khurram Javed
Lab : TUKL-SEECS R&D Lab
Email : 14besekjaved@seecs.edu.pk '''
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
class DownsampleStride(nn.Module):
def __init__(self, n=2):
super(DownsampleStride, self).__init__()
self._n = n
def forward(self, x):
return x[..., ::2, ::2]
class ResidualBlock(nn.Module):
expansion = 1
def __init__(self, inplanes, increase_dim=False, last=False):
super(ResidualBlock, self).__init__()
self.increase_dim = increase_dim
if increase_dim:
first_stride = 2
planes = inplanes * 2
else:
first_stride = 1
planes = inplanes
self.conv_a = nn.Conv2d(inplanes, planes, kernel_size=3, stride=first_stride, padding=1, bias=False)
self.bn_a = nn.BatchNorm2d(planes)
self.conv_b = nn.Conv2d(planes, planes, kernel_size=3, stride=1, padding=1, bias=False)
self.bn_b = nn.BatchNorm2d(planes)
if increase_dim:
self.downsample = DownsampleStride()
self.pad = lambda x: torch.cat((x, x.mul(0)), 1)
self.last = last
def forward(self, x):
y = self.conv_a(x)
y = self.bn_a(y)
y = F.relu(y, inplace=True)
y = self.conv_b(y)
y = self.bn_b(y)
if self.increase_dim:
x = self.downsample(x)
x = self.pad(x)
if x.shape != y.shape:
import pdb; pdb.set_trace()
y = x + y
if self.last:
y = F.relu(y, inplace=True)
return y
class CifarResNet(nn.Module):
"""
ResNet optimized for the Cifar Dataset, as specified in
https://arxiv.org/abs/1512.03385.pdf
"""
def __init__(self, n=5, channels=3):
""" Constructor
Args:
depth: number of layers.
num_classes: number of classes
base_width: base width
"""
super(CifarResNet, self).__init__()
self.conv_1_3x3 = nn.Conv2d(channels, 16, kernel_size=3, stride=1, padding=1, bias=False)
self.bn_1 = nn.BatchNorm2d(16)
self.inplanes = 16
self.stage_1 = self._make_layer(16, increase_dim=False, n=n)
self.stage_2 = self._make_layer(16, increase_dim=True, n=n-1)
self.stage_3 = self._make_layer(32, increase_dim=True, n=n-2)
self.stage_4 = ResidualBlock(64, increase_dim=False, last=True)
self.avgpool = nn.AvgPool2d(8)
self.out_dim = 64
for m in self.modules():
if isinstance(m, nn.Conv2d):
nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu')
elif isinstance(m, nn.BatchNorm2d):
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
def _make_layer(self, planes, increase_dim=False, last=False, n=None):
layers = []
if increase_dim:
layers.append(
ResidualBlock(planes, increase_dim=True)
)
planes = 2 * planes
for i in range(n):
layers.append(ResidualBlock(planes))
return nn.Sequential(*layers)
def forward(self, x, feature=False, T=1, labels=False, scale=None, keep=None):
x = self.conv_1_3x3(x)
x = F.relu(self.bn_1(x), inplace=True)
x = self.stage_1(x)
x = self.stage_2(x)
x = self.stage_3(x)
x = self.stage_4(x)
x = self.avgpool(x)
x = x.view(x.size(0), -1)
return x
def resnet_rebuffi(n=5):
return CifarResNet(n=n)
| 3,721 | 1,391 |
# -*- coding: utf-8 -*-
"""
IO
~~~~~~~~~~~~~~~~~~~
A Python module for Input and Ouput interactions
:copyright: (c) 2020 Killian Mahé
:license: MIT, see LICENSE for more details.
"""
__title__ = 'io'
__author__ = 'Killian Mahé'
__license__ = 'MIT'
__copyright__ = 'Copyright 2020 Killian Mahé'
__version__ = '0.0.1'
from .terminal import Terminal
from .keyboard import Keyboard
from .file import File | 406 | 158 |
''' Tools for dealing with multithreaded programs. '''
from concurrent.futures import ThreadPoolExecutor, as_completed
from nlplib.general.iterate import chunked
__all__ = ['simultaneously']
def simultaneously (function, iterable, max_workers=4) :
''' This runs the given function over the iterable concurrently, in a similar fashion to the built-in <map>
function. The output's order is not guaranteed to correspond the order of the input iterable. Therefor the
output order should be treated as undefined. The <max_workers> argument denotes the amount of worker threads to
use. '''
if max_workers < 1 :
raise ValueError('<simultaneously> requires at least one worker thread.')
with ThreadPoolExecutor(max_workers=max_workers) as executor :
futures = (executor.submit(function, item)
for item in iterable)
for chunk in chunked(futures, max_workers, trail=True) :
for future in as_completed(chunk) :
yield future.result()
def __demo__ () :
from urllib.request import urlopen
urls = ['http://amazon.com', 'http://ibm.com', 'http://google.com', 'http://python.org']
for html in simultaneously(lambda url : urlopen(url).read(1024), urls) :
print(html, end='\n\n')
def __test__ (ut) :
def double (string) :
return string * 2
inputs = ['foo', 'bar', 'baz']
outputs = {'foofoo', 'barbar', 'bazbaz'}
for kw in [{}, {'max_workers' : 1}, {'max_workers' : 231}] :
ut.assert_equal(set(simultaneously(double, inputs, **kw)), outputs)
for workers in [0, -1, -13421] :
ut.assert_raises(lambda : set(simultaneously(double, inputs, max_workers=workers)), ValueError)
class SomeArbitraryException (Exception) :
pass
def raise_something (string) :
raise SomeArbitraryException
ut.assert_raises(lambda : list(simultaneously(raise_something, inputs)), SomeArbitraryException)
if __name__ == '__main__' :
from nlplib.general.unittest import UnitTest
__test__(UnitTest())
__demo__()
| 2,095 | 646 |
# Generated by Django 2.2.5 on 2019-09-28 19:25
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('eyedetector', '0004_xypupilframe'),
]
operations = [
migrations.CreateModel(
name='Experiment',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=50)),
('description', models.CharField(blank=True, max_length=350, null=True)),
('image', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='experiments', to='eyedetector.Image')),
],
),
]
| 781 | 250 |
inp=input("Enter a string: ")
rev=0
while (inp>0):
dig=inp%10
rev=rev*10+dig
inp=inp//10
print(rev) | 108 | 63 |
import globals
class Exhaust(globals.Hass):
async def initialize(self):
config = self.args["config"]
self._input = config["input"]
self._temperature = config["temperature"]
self._min_temperature = float(config["min_temperature"])
self._max_temperature = float(config["max_temperature"])
await self._ensure_state_async()
await self.listen_state(self._temperature_callback_async,
entity=self._temperature)
async def _temperature_callback_async(self, entity, attribute, old, new, kwargs):
if old == new:
return
# self.log(f"TemperatureChange: old = {old}, new = {new}")
await self._ensure_state_async()
async def _ensure_state_async(self):
input = await self.get_state(self._input)
temperature = float(await self.get_state(self._temperature))
# self.log(f"EnsureState: input = {input}, temperature = {temperature}")
if temperature < self._min_temperature and input == "on":
# self.log("turn_off")
await self.call_service("input_boolean/turn_off",
entity_id=self._input)
elif temperature > self._max_temperature and input == "off":
# self.log("turn_on")
await self.call_service("input_boolean/turn_on",
entity_id=self._input)
| 1,424 | 393 |
# -*- coding: utf-8 -*-
from django.db import models
from apps.registro.models.Anexo import Anexo
from django.core.exceptions import ValidationError
import datetime
class AnexoBaja(models.Model):
anexo = models.ForeignKey(Anexo)
observaciones = models.CharField(max_length = 255)
fecha_baja = models.DateField()
class Meta:
app_label = 'registro'
db_table = 'registro_anexo_baja'
def __unicode__(self):
return self.fecha_baja
| 474 | 164 |
import os
import unittest
from rosie import Rosie
from rosie import DocumentNotFound
# from test import create
# create(100)
class RosieTest(unittest.TestCase):
def setUp(self):
basedir = os.path.join(os.path.expanduser("~"), "Documents",
"Progetti", "HTML-CSS", "rosie-output")
cartelle = []
cartelle.append(os.path.join(basedir, "_content"))
# cartelle.append(os.path.join(basedir, "_files"))
cartelle.append(os.path.join(basedir, "_images"))
self.rosie = Rosie(*cartelle)
self.rosie.registra_allegati(tag="Images",
estensioni=[".jpg", ".jpeg", ".png", ".gif"])
self.rosie.registra_allegati(tag="Files",
estensioni=[".zip", ".rar", ".7z"])
self.rosie.scan()
def test_documenti_trovati(self):
self.assertEqual(len(self.rosie.elenco), 100, "Ci dovevano essere 100 documenti")
def test_tutti_hanno_titolo_e_tag(self):
for indice, elemento in enumerate(self.rosie, start=1):
self.assertTrue("title" in elemento.meta.keys(),
"Non ci doveva essere un documento senza titolo")
self.assertTrue("date" in elemento.meta.keys(),
"Non ci doveva essere un documento senza data")
def test_il_primo_ha_almeno_un_immagine(self):
"""
Il primo elemento ha sempre almeno un'immagine, per via di come creo
i files nel pacchetto test
"""
ciccio = self.rosie.find("element0001")
self.assertTrue("images" in ciccio.meta,
"Il primo elemento doveva avere almeno un'immagine")
def test_la_ricerca_funziona(self):
"""
Quando cerca un'elemento (che so esistere) lo deve trovare
"""
ciccio = self.rosie.find("element0003")
self.assertTrue(ciccio is not None, "L'elemento N. 3 doveva esistere")
with self.assertRaises(DocumentNotFound):
self.rosie.find("element9999")
def tearDown(self):
# print(self.rosie.json())
pass | 2,159 | 676 |
# @file
#
# FadZmaq Project
# Professional Computing. Semester 2 2019
#
# Copyright FadZmaq © 2019 All rights reserved.
# @author Lachlan Russell 22414249@student.uwa.edu.au
# @author Jordan Russell jordanrussell@live.com
import json
# Tests that the server is up at all.
def test_index(client):
response = client.get('/', follow_redirects=False)
assert response.status_code == 308
# Not implemented
def test_user_request(client):
response = client.get('/user/recs', follow_redirects=True)
assert response.status_code == 200
# Not implemented
def test_user_request_by_id(client):
response = client.get('/user/1234', follow_redirects=True)
assert response.status_code == 410
# Basic test the profile API
# To be expanded when we receive data from DB -Jordan
def test_profile(client):
# Check we get a response
response = client.get('/profile', follow_redirects=True)
assert response.status_code == 200
data = json.loads(response.data)
assert "profile" in data
profile = data["profile"]
assert "name" in profile
# assert "age" in profile
def test_profile_post(client):
# Note this currently fails since the posting to profile is *not* implemented with json.
# Do not change this test, profile should (and will soon) be json.
# post_data = dict(somedata=profile_data.my_profile)
# response = client.post('/profile', data=post_data, follow_redirects=True)
# assert response.status_code == 200
assert True is False
def test_matches(client):
response = client.get('/matches', follow_redirects=True)
assert response.status_code == 200
print(response)
def test_match_request_by_id(client):
response = client.get('/matches/b026324c6904b2a9cb4b88d6d61c81d1', follow_redirects=True)
assert response.status_code == 200
# Not implemented yet
def test_match_delete_by_id(client):
response = client.delete('/matches/b026324c6904b2a9cb4b88d6d61c81d1', follow_redirects=True)
assert response.status_code == 204
def test_match_thumb_down(client):
response = client.post('/matches/thumbs/down/b026324c6904b2a9cb4b88d6d61c81d1', follow_redirects=True)
assert response.status_code == 204
def test_match_thumb_up(client):
response = client.post('/matches/thumbs/up/b026324c6904b2a9cb4b88d6d61c81d1', follow_redirects=True)
assert response.status_code == 204
def test_like(client):
response = client.post('/like/b026324c6904b2a9cb4b88d6d61c81d1', follow_redirects=True)
assert response.status_code == 200
def test_pass(client):
response = client.post('/pass/b026324c6904b2a9cb4b88d6d61c81d1', follow_redirects=True)
assert response.status_code == 200
| 2,726 | 1,012 |
import inspect
import subprocess
import tempfile
from copy import copy
from weakref import WeakKeyDictionary
import piexif
import pyheif
from cffi import FFI
from PIL import Image, ImageFile
from pyheif.error import HeifError
ffi = FFI()
_keep_refs = WeakKeyDictionary()
pyheif_supports_transformations = (
'transformations' in inspect.signature(pyheif.HeifFile).parameters
)
HEIF_ENC_BIN = 'heif-enc'
def _crop_heif_file(heif):
# Zero-copy crop before loading. Just shifts data pointer and updates meta.
crop = heif.transformations['crop']
if crop == (0, 0) + heif.size:
return heif
if heif.mode not in ("L", "RGB", "RGBA"):
raise ValueError("Unknown mode")
pixel_size = len(heif.mode)
offset = heif.stride * crop[1] + pixel_size * crop[0]
cdata = ffi.from_buffer(heif.data, require_writable=False) + offset
data = ffi.buffer(cdata, heif.stride * crop[3])
# Keep reference to the original data as long as "cdata + offset" is alive.
# Normally ffi.from_buffer should hold it for us but unfortunately
# cdata + offset creates a new cdata object without reference.
_keep_refs[cdata] = heif.data
new_heif = copy(heif)
new_heif.size = crop[2:4]
new_heif.transformations = dict(heif.transformations, crop=(0, 0) + crop[2:4])
new_heif.data = data
return new_heif
def _rotate_heif_file(heif):
"""
Heif files already contain transformation chunks imir and irot which are
dominate over Orientation tag in EXIF.
This is not aligned with other formats behaviour and we MUST fix EXIF after
loading to prevent unexpected rotation after resaving in other formats.
And we come up to there is no reasons to force rotation of HEIF images
after loading since we need update EXIF anyway.
"""
orientation = heif.transformations['orientation_tag']
if not (1 <= orientation <= 8):
return heif
exif = {'0th': {piexif.ImageIFD.Orientation: orientation}}
if heif.exif:
try:
exif = piexif.load(heif.exif)
exif['0th'][piexif.ImageIFD.Orientation] = orientation
except Exception:
pass
new_heif = copy(heif)
new_heif.transformations = dict(heif.transformations, orientation_tag=0)
new_heif.exif = piexif.dump(exif)
return new_heif
def _extract_heif_exif(heif_file):
"""
Unlike other helper functions, this alters heif_file in-place.
"""
heif_file.exif = None
clean_metadata = []
for item in heif_file.metadata or []:
if item['type'] == 'Exif':
if heif_file.exif is None:
if item['data'] and item['data'][0:4] == b"Exif":
heif_file.exif = item['data']
else:
clean_metadata.append(item)
heif_file.metadata = clean_metadata
class HeifImageFile(ImageFile.ImageFile):
format = 'HEIF'
format_description = "HEIF/HEIC image"
def _open(self):
try:
heif_file = pyheif.open(
self.fp, apply_transformations=not pyheif_supports_transformations)
except HeifError as e:
raise SyntaxError(str(e))
_extract_heif_exif(heif_file)
if pyheif_supports_transformations:
heif_file = _rotate_heif_file(heif_file)
self._size = heif_file.transformations['crop'][2:4]
else:
self._size = heif_file.size
self.mode = heif_file.mode
if heif_file.exif:
self.info['exif'] = heif_file.exif
if heif_file.color_profile:
# rICC is Restricted ICC. Still not sure can it be used.
# ISO/IEC 23008-12 says: The colour information 'colr' descriptive
# item property has the same syntax as the ColourInformationBox
# as defined in ISO/IEC 14496-12.
# ISO/IEC 14496-12 says: Restricted profile shall be of either
# the Monochrome or Three‐Component Matrix‐Based class of
# input profiles, as defined by ISO 15076‐1.
# We need to go deeper...
if heif_file.color_profile['type'] in ('rICC', 'prof'):
self.info['icc_profile'] = heif_file.color_profile['data']
self.tile = []
self.heif_file = heif_file
def load(self):
heif_file, self.heif_file = self.heif_file, None
if heif_file:
try:
heif_file = heif_file.load()
except HeifError as e:
cropped_file = e.code == 7 and e.subcode == 100
if not cropped_file or not ImageFile.LOAD_TRUNCATED_IMAGES:
raise
# Ignore EOF error and return blank image otherwise
self.load_prepare()
if heif_file.data:
if pyheif_supports_transformations:
heif_file = _crop_heif_file(heif_file)
self.frombytes(heif_file.data, "raw", (self.mode, heif_file.stride))
heif_file.data = None
return super().load()
def check_heif_magic(data):
return pyheif.check(data) != pyheif.heif_filetype_no
def _save(im, fp, filename):
# Save it before subsequent im.save() call
info = im.encoderinfo
if im.mode in ('P', 'PA'):
# disbled due to errors in libheif encoder
raise IOError("cannot write mode P as HEIF")
with tempfile.NamedTemporaryFile(suffix='.png') as tmpfile:
im.save(
tmpfile, format='PNG', optimize=False, compress_level=0,
icc_profile=info.get('icc_profile', im.info.get('icc_profile')),
exif=info.get('exif', im.info.get('exif'))
)
cmd = [HEIF_ENC_BIN, '-o', '/dev/stdout', tmpfile.name]
avif = info.get('avif')
if avif is None and filename:
ext = filename.rpartition('.')[2].lower()
avif = ext == 'avif'
if avif:
cmd.append('-A')
if info.get('encoder'):
cmd.extend(['-e', info['encoder']])
if info.get('quality') is not None:
cmd.extend(['-q', str(info['quality'])])
subsampling = info.get('subsampling')
if subsampling is not None:
if subsampling == 0:
subsampling = '444'
elif subsampling == 1:
subsampling = '422'
elif subsampling == 2:
subsampling = '420'
cmd.extend(['-p', 'chroma=' + subsampling])
if info.get('speed') is not None:
cmd.extend(['-p', 'speed=' + str(info['speed'])])
if info.get('concurrency') is not None:
cmd.extend(['-p', 'threads=' + str(info['concurrency'])])
try:
# Warning: Do not open stdout and stderr at the same time
with subprocess.Popen(cmd, stdout=subprocess.PIPE) as enc:
for data in iter(lambda: enc.stdout.read(128 * 1024), b''):
fp.write(data)
if enc.wait():
raise subprocess.CalledProcessError(enc.returncode, cmd)
except FileNotFoundError:
raise FileNotFoundError(
2, f"Can't find heif encoding binary. Install '{HEIF_ENC_BIN}' "
+ "or set `HeifImagePlugin.HEIF_ENC_BIN` to full path.")
Image.register_open(HeifImageFile.format, HeifImageFile, check_heif_magic)
Image.register_save(HeifImageFile.format, _save)
Image.register_mime(HeifImageFile.format, 'image/heif')
Image.register_extensions(HeifImageFile.format, [".heic", ".avif"])
# Don't use this extensions for saving images, use the ones above.
# They have added for quick file type detection only (i.g. by Django).
Image.register_extensions(HeifImageFile.format, [".heif", ".hif"])
| 7,728 | 2,500 |
from cloc import grp, cmd, opt, arg, mixins
from cloc.types import Choices
"""Test Code ->"""
@grp('cli')
def cli():
"""cli docstring"""
pass
@grp('nested')
def group2():
"""group 2"""
pass
@grp('permissions')
def permission_group():
pass
@cmd('test')
@arg('arg1', type=int, help='positional argument 1')
@opt('--opt1', '-o1', type=Choices(['these', 'are', 'the', 'choices']), help='option 1')
def test(cmd1, opt1=None):
"""test command"""
print('#test_command')
print(cmd1, str(opt1))
class UserCmds(mixins.List, mixins.Echo):
def __init__(self, **kwargs):
for key, value in kwargs.items():
setattr(self, key, value)
@cmd('users')
def listusers(self):
"""list users command"""
print('#user_command')
if hasattr(self, 'users'):
print(', '.join(self.users))
class PermissionCmds(mixins.List, mixins.Echo):
"""this class is going to inherit the List mixin which provides a generic list command"""
def __init__(self, **kwargs):
for key, value in kwargs.items():
setattr(self, key, value)
u = UserCmds(users=['user1', 'user2'])
user2 = UserCmds(users=['user1', 'user2', 'user3'])
perms = PermissionCmds(roles=['admin', 'user', 'dev'], services=['test_service1'])
cli.add_command(u)
cli.add_command(group2)
group2.add_command(test)
group2.add_command(user2)
group2.add_command(permission_group)
permission_group.add_command(perms)
if __name__ == '__main__':
cli() | 1,510 | 540 |
#!/usr/bin/env python3
import os
os.system("openocd -f wukong.cfg -c 'init; pld load 0 build/top.bit; exit' ")
| 111 | 47 |
import json
import time
from utils.helper import RedisClient
from paho.mqtt.client import MQTT_ERR_SUCCESS
import paho.mqtt.client as mqtt
from utils.date_time import TimeMeasure
import tasks as tasks_mqtt
from utils.message import MsgShadowGet, MsgShadowUpdate
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class CommMqtt:
host = None
port = None
client = None
def __init__(self, host, port):
self.host = host
self.port = port
self.client = mqtt.Client(protocol=mqtt.MQTTv311)
def connect(self):
try:
result = self.client.connect(self.host, port=self.port, keepalive=60)
time.sleep(5)
except:
return False
return True if result == MQTT_ERR_SUCCESS else False
def disconnect(self):
time.sleep(1)
self.client.disconnect()
def publish_for_send_list(self, msg_obj, buf_list):
"""
Publish処理
送信データのリストを1件ずつPublishする
:param msg_obj: 送信メッセージのオブジェクト
:param buf_list: 送信するデータのリスト
:return: 送信成功送信バッファリスト、送信失敗送信バッファリスト（タプル）
"""
# 送信成功リスト
send_ok_buf_list = []
# 送信失敗リスト
send_ng_buf_list = []
# 再送信データが大量にあると通信が長引いてしまうため
# 一定時間、送信処理が続いた場合は次回の送信時に送信するようにする
time_measure = TimeMeasure(time_out_sec=60)
for idx, buf in enumerate(buf_list):
if time_measure.is_time_out():
# 次回起動時に送信する
send_ng_buf_list.append(buf)
continue
# Publish
result = self.publish(msg_obj, buf=buf, idx=idx)
if result:
send_ok_buf_list.append(buf)
else:
send_ng_buf_list.append(buf)
return send_ok_buf_list, send_ng_buf_list
def publish(self, msg_obj, buf=None, idx=0):
"""
Publishの実行
:param msg_obj: 送信メッセージオブジェクト
:param idx: 送信データのindex
:param buf: 送信データ
:return: 結果（True：成功、False：失敗）
"""
# Publishするトピック名を取得する
topic = msg_obj.get_pub_topic()
if not topic:
return False
# 送信メッセージを取得する
send_data = msg_obj.create_pub_data(buf, idx) if buf else {}
logger.debug('publish send_data:[%s]' % send_data)
try:
# Publish実行
result = self.client.publish(topic, json.dumps(send_data), qos=1)
except Exception as e:
logger.error("failed publish")
logger.error("type:{0}".format(type(e)))
logger.error("args:{0}".format(e.args))
logger.error("{0}".format(e))
result = False
return result
class CommMqttShadow(CommMqtt):
imsi = None
def __init__(self, host, port, imsi):
super().__init__(host, port)
self.imsi = imsi
def shadow_get(self):
redis_client = RedisClient()
msg_shadow_get = MsgShadowGet(imsi=self.imsi)
result_sub = tasks_mqtt.run_subscribe_by_mqtt.delay(self.host, self.port, msg_shadow_get.get_sub_topic())
time.sleep(2)
try:
self.connect()
result = self.publish(msg_shadow_get)
self.disconnect()
except Exception as e:
logger.error(e)
while not result_sub.ready():
time.sleep(1)
value = redis_client.get('token')
if not value:
return ''
payload_str = value.decode(encoding='utf-8')
if not payload_str:
return ''
return payload_str
def shadow_update(self, update_dict):
msg_shadow_update = MsgShadowUpdate(imsi=self.imsi)
time.sleep(2)
try:
self.connect()
result = self.publish(msg_shadow_update, buf=update_dict)
self.disconnect()
except Exception as e:
logger.error(e)
| 3,916 | 1,391 |
# simple servo test for PCA9685 with HS422
from servo.servo import *
from time import sleep
pca = PCA9685()
pca.setZero(0)
sleep(2)
for a in xrange(-67,67,1):
pca.setAngle(0,a)
sleep(0.05)
for a in xrange(67,0,-1):
pca.setAngle(0,a)
sleep(0.05)
| 255 | 132 |
items = input().split("|") # items to buy
budged = int(input())
profit = 0
profit_price_list = []
profit_list = []
profit_price = 0
for index in items:
profit = 0
profit_price = 0
separator = index.split("->")
if separator[0] == "Clothes":
if not 0 < float(separator[1]) <= 50:
continue
elif separator[0] == "Shoes":
if not 0 < float(separator[1]) <= 35:
continue
elif separator[0] == "Accessories":
if not 0 < float(separator[1]) <= 20.50:
continue
budged -= float(separator[1]) # calculating budged left
profit_price += float(separator[1]) * 1.40 # calculating the price with 40% increase
profit += float(separator[1]) * 0.40 # profit = round(profit, 2) # calculating the profit after the 40% increase for each item
profit_price_list.append(round(profit_price, 2)) # list with the increased prices
profit_list.append(profit) # list with every items' profit
if budged <= 0:
budged += float(separator[1])
profit_price_list.pop()
profit_list.pop()
continue
profit_price = sum(profit_list)
price_after_40 = sum(profit_price_list)
budged += price_after_40
print(*profit_price_list)
print(f"Profit: {profit_price:.2f}")
print(); print()
if budged >= 150:
print("Hello, France!")
else:
print("Time to go.") | 1,386 | 473 |
from rest_framework import viewsets
from rest_framework.serializers import ValidationError
from .models import Address
from .serializers import AddressSerializer
from lims.permissions.permissions import IsAddressOwner, IsAddressOwnerFilter
from lims.shared.mixins import AuditTrailViewMixin
class AddressViewSet(AuditTrailViewMixin, viewsets.ModelViewSet):
"""
Provide a list of address for the logged in user.
**Permissions:** IsAuthenticated, UserIsOwnerAccessOnly
**Filters:** IsOwnerFilterBackend
"""
queryset = Address.objects.all()
serializer_class = AddressSerializer
permission_classes = (IsAddressOwner,)
filter_backends = (IsAddressOwnerFilter,)
def perform_create(self, serializer):
# Allow an admin user to set the user
# for instance is adding a new address
if self.request.user.groups.filter(name='admin').exists():
serializer.save()
else:
# No. You are not admin, you cannot add user.
if self.request.user != serializer.validated_data['user']:
raise ValidationError('You cannot add an address to another user')
serializer.save(user=self.request.user)
| 1,209 | 326 |
'''
Created on Sep 8, 2018
Use autocropFaces() to crop out the material around faces in an image,
where the faces are automatically detected.
See the bottom for an example use script.
Used this as a starting reference point:
https://docs.opencv.org/3.3.0/d7/d8b/tutorial_py_face_detection.html
@author: tmahrt
'''
import os
from os.path import join
import cv2
from matplotlib import pyplot as plt
from PIL import Image
TRAINING_DATA_PATH = '/opt/local/share/OpenCV/haarcascades/haarcascade_frontalface_default.xml'
class NoFacesException(Exception):
def __init__(self, fn):
super(NoFacesException, self).__init__()
self.fn = fn
def __str__(self):
errStr = ("ERROR: Could not find faces in file `%s` with "
"training data: \n`%s`\n Please try again with a different "
"file, or different training set.")
return errStr % (self.fn, TRAINING_DATA_PATH)
class FaceRecognizer():
def __init__(self):
self.recognizer = cv2.CascadeClassifier(TRAINING_DATA_PATH)
def recognize(self, imgFn):
gray = cv2.imread(imgFn, 0)
faces = self.recognizer.detectMultiScale(gray, 1.3, 5)
if len(faces) == 0:
raise NoFacesException(imgFn)
return faces
def outputDebug(imgFn,
faces,
faceRegion=None,
helperRegion=None,
finalCropRegion=None):
img = cv2.imread(imgFn)
# The list of faces
for face in faces:
_drawRectangle(img, face, (255, 0, 0))
# All the faces fit tightly in this space
if faceRegion is not None:
_drawRectangle(img, faceRegion, (0, 0, 255))
# I used this to see various intermediate stages
if helperRegion is not None:
_drawRectangle(img, helperRegion, (0, 255, 0))
# The final cropping region
if finalCropRegion is not None:
_drawRectangle(img, finalCropRegion, (255, 255, 0))
img = _convertBgrToRGB(img)
plt.imshow(img)
plt.show()
def _convertBgrToRGB(img):
# https://stackoverflow.com/questions/15072736/extracting-a-region-from-an-image-using-slicing-in-python-opencv/15074748#15074748
return img[:, :, ::-1]
def _drawRectangle(img, xywh, color):
x, y, w, h = xywh
cv2.rectangle(img, (x, y), (x + w, y + h), color, 2)
def encapsulateSubsquares(regionList):
'''
Given a list of squares, return a square that tightly fits all subsquares
Input is a list of the form [(x, y, w, h), () ]
Output is the (x, y, w, h) that wholly includes all input
'''
newRegionList = [(x, y, x + w, y + h) for x, y, w, h in regionList]
x0List, y0List, x1List, y1List = zip(*newRegionList)
x0 = min(x0List)
y0 = min(y0List)
x1 = max(x1List)
y1 = max(y1List)
return [x0, y0, x1 - x0, y1 - y0]
def modifyAspectRatio(sourceXYWH, targetRatio):
'''
Changes the ratio of the input square to be that of the target ratio
'''
sourceRatio = sourceXYWH[2] / sourceXYWH[3]
if targetRatio > sourceRatio:
newX1 = int(sourceXYWH[3] * targetRatio)
returnXYWH = [sourceXYWH[0], sourceXYWH[1],
newX1, sourceXYWH[3]]
else:
newY1 = int(sourceXYWH[2] / targetRatio)
returnXYWH = [sourceXYWH[0], sourceXYWH[1],
sourceXYWH[2], newY1]
return returnXYWH
def relativeRecenter(sourceXYWH, targetXYWH):
'''
Centers a square with respect to the center of a different square
'''
targetXCenter = targetXYWH[0] + (targetXYWH[2] / 2.0)
targetYCenter = targetXYWH[1] + (targetXYWH[3] / 2.0)
newX = int(targetXCenter - (sourceXYWH[2] / 2.0))
newY = int(targetYCenter - (sourceXYWH[3] / 2.0))
return (newX, newY, sourceXYWH[2], sourceXYWH[3])
def keepInsideImage(sourceXYWH, imageWH):
'''
Forces a square to be within the image that contains it
'''
left = sourceXYWH[0]
right = sourceXYWH[0] + sourceXYWH[2]
top = sourceXYWH[1]
bottom = sourceXYWH[1] + sourceXYWH[3]
newLeft = left
if left < 0 and right > imageWH[0]:
newLeft = (imageWH[0] - right)
elif left < 0:
newLeft = 0
elif right > imageWH[0]:
newLeft = imageWH[0] - sourceXYWH[2]
newTop = top
if top < 0 and bottom > imageWH[1]:
newTop = imageWH[1] / 2.0 - sourceXYWH[3]
elif top < 0:
newTop = 0
elif bottom > imageWH[1]:
newTop = imageWH[1] - sourceXYWH[3]
return [int(newLeft), int(newTop), sourceXYWH[2], sourceXYWH[3]]
def enforceMinSize(sourceXYWH, targetWH, imgWH):
'''
Increase the crop region to the target, but don't exceed the img dimensions
'''
newW = max((targetWH[0], sourceXYWH[2]))
newH = max((targetWH[1], sourceXYWH[3]))
newW = min((imgWH[0], newW))
newH = min((imgWH[1], newH))
return (sourceXYWH[0], sourceXYWH[1], newW, newH)
def autocropFaces(fn, outputFN, recognizer, targetWH=None, debug=False):
'''
Will crop an image based on all of the faces it automatically detects
targetWH: e.g. (300, 200); if specified, it the output will that size.
The area around the detected heads will be enlarged to permit
the necessary aspect ratio before scaling occurs. If the image
is smaller than the target, whitespace will be filled in.
debug: if True, an image will pop up showing detected faces and the
region that will be cropped. The image must be closed before
the code will continue
'''
faceList = recognizer.recognize(fn)
faceRegion = encapsulateSubsquares(faceList)
img = Image.open(fn)
imgWH = (img.width, img.height)
if targetWH is not None:
sizedFaceRegion = enforceMinSize(faceRegion, targetWH, imgWH)
proportionedFaceRegion = modifyAspectRatio(sizedFaceRegion,
targetWH[0] / targetWH[1])
regionToCenterIn = relativeRecenter(sizedFaceRegion,
faceRegion)
adjustedFaceRegion = relativeRecenter(proportionedFaceRegion,
regionToCenterIn)
adjustedFaceRegion = keepInsideImage(adjustedFaceRegion, imgWH)
# If the crop region is smaller than the targetWH, fill in
# the empty space with a white background
newImg = Image.new('RGB',
(adjustedFaceRegion[2], adjustedFaceRegion[3]),
(255, 255, 255))
newImg.paste(img, (-adjustedFaceRegion[0], -adjustedFaceRegion[1]))
img = newImg
if debug is True:
outputDebug(fn, faceList, faceRegion, sizedFaceRegion,
finalCropRegion=adjustedFaceRegion)
else:
img = img.crop(faceRegion)
if targetWH is not None:
img = img.resize(targetWH)
img.save(outputFN)
# Example use
if __name__ == "__main__":
def getThumbnailName(fn):
name, ext = os.path.splitext(fn)
return name + "_thumbnail" + ext
inputPath = os.path.abspath("../data/faces/")
outputPath = os.path.abspath("../data/faces/output")
targetWH = (300, 200)
if not os.path.exists(outputPath):
os.mkdir(outputPath)
_recognizer = FaceRecognizer()
for _fn in os.listdir(inputPath):
if ".jpg" not in _fn:
continue
inputFn = join(inputPath, _fn)
outputFn = join(outputPath, getThumbnailName(_fn))
try:
autocropFaces(inputFn, outputFn, _recognizer, targetWH, debug=True)
except NoFacesException:
print("No faces in: " + inputFn)
continue
| 7,875 | 2,629 |
# -*- coding: utf-8 -*-
"""MultistageDdecWorkChain workchain"""
from __future__ import absolute_import
from aiida.plugins import CalculationFactory, DataFactory, WorkflowFactory
from aiida.common import AttributeDict
from aiida.engine import WorkChain, ToContext
# import sub-workchains
Cp2kMultistageWorkChain = WorkflowFactory('cp2k.multistage') # pylint: disable=invalid-name
Cp2kDdecWorkChain = WorkflowFactory('ddec.cp2k_ddec') # pylint: disable=invalid-name
# import calculations
DdecCalculation = CalculationFactory('ddec') # pylint: disable=invalid-name
# import aiida data
CifData = DataFactory('cif') # pylint: disable=invalid-name
class MultistageDdecWorkChain(WorkChain):
"""A workchain that combines: Cp2kMultistageWorkChain + Cp2kDdecWorkChain"""
@classmethod
def define(cls, spec):
"""Define workflow specification."""
super(MultistageDdecWorkChain, cls).define(spec)
spec.expose_inputs(Cp2kMultistageWorkChain)
spec.expose_inputs(Cp2kDdecWorkChain, exclude=['cp2k_base'])
# specify the chain of calculations to be performed
spec.outline(cls.run_cp2kmultistage, cls.run_cp2kddec, cls.return_results)
spec.expose_outputs(Cp2kMultistageWorkChain, exclude=['output_structure'])
spec.expose_outputs(Cp2kDdecWorkChain, include=['structure_ddec'])
def run_cp2kmultistage(self):
"""Run CP2K-Multistage"""
cp2k_ms_inputs = AttributeDict(self.exposed_inputs(Cp2kMultistageWorkChain))
cp2k_ms_inputs['metadata']['call_link_label'] = 'call_cp2kmultistage'
running = self.submit(Cp2kMultistageWorkChain, **cp2k_ms_inputs)
self.report('Running Cp2MultistageWorkChain to move the structure')
return ToContext(ms_wc=running)
def run_cp2kddec(self):
"""Pass the Cp2kMultistageWorkChain outputs as inputs for
Cp2kDdecWorkChain: cp2k_base (metadata), cp2k_params, structure and WFN.
"""
cp2k_ddec_inputs = AttributeDict(self.exposed_inputs(Cp2kDdecWorkChain))
cp2k_ddec_inputs['cp2k_base'] = self.exposed_inputs(Cp2kMultistageWorkChain)['cp2k_base']
cp2k_ddec_inputs['cp2k_base']['cp2k']['parameters'] = self.ctx.ms_wc.outputs.last_input_parameters
cp2k_ddec_inputs['cp2k_base']['cp2k']['structure'] = self.ctx.ms_wc.outputs.output_structure
cp2k_ddec_inputs['cp2k_base']['cp2k']['parent_calc_folder'] = self.ctx.ms_wc.outputs.remote_folder
cp2k_ddec_inputs['metadata']['call_link_label'] = 'call_cp2kddec'
running = self.submit(Cp2kDdecWorkChain, **cp2k_ddec_inputs)
return ToContext(cp2k_ddec_wc=running)
def return_results(self):
"""Return exposed outputs and print the pk of the CifData w/DDEC"""
self.out_many(self.exposed_outputs(self.ctx.ms_wc, Cp2kMultistageWorkChain))
self.out_many(self.exposed_outputs(self.ctx.cp2k_ddec_wc, Cp2kDdecWorkChain))
| 2,920 | 1,057 |
'''
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
'''
import os
os.environ["ROOT"] = ""
from mock.mock import patch, MagicMock
from unittest import TestCase
import platform
from ambari_commons import os_utils
os_utils.search_file = MagicMock(return_value="/tmp/ambari.properties")
import shutil
project_dir = os.path.join(os.path.abspath(os.path.dirname(__file__)),os.path.normpath("../../../../"))
shutil.copyfile(project_dir+"/ambari-server/conf/unix/ambari.properties", "/tmp/ambari.properties")
with patch.object(platform, "linux_distribution", return_value = MagicMock(return_value=('Redhat', '6.4', 'Final'))):
with patch("os.path.isdir", return_value = MagicMock(return_value=True)):
with patch("os.access", return_value = MagicMock(return_value=True)):
with patch.object(os_utils, "parse_log4j_file", return_value={'ambari.log.dir': '/var/log/ambari-server'}):
from ambari_server.serverUtils import get_ambari_server_api_base
from ambari_server.serverConfiguration import CLIENT_API_PORT, CLIENT_API_PORT_PROPERTY, SSL_API, DEFAULT_SSL_API_PORT, SSL_API_PORT
@patch.object(platform, "linux_distribution", new = MagicMock(return_value=('Redhat', '6.4', 'Final')))
class TestServerUtils(TestCase):
def test_get_ambari_server_api_base(self):
# Test case of using http protocol
properties = FakeProperties({
SSL_API: "false",
CLIENT_API_PORT_PROPERTY: None
})
result = get_ambari_server_api_base(properties)
self.assertEquals(result, 'http://127.0.0.1:8080/api/v1/')
# Test case of using http protocol and custom port
properties = FakeProperties({
SSL_API: "false",
CLIENT_API_PORT_PROPERTY: "8033"
})
result = get_ambari_server_api_base(properties)
self.assertEquals(result, 'http://127.0.0.1:8033/api/v1/')
# Test case of using https protocol (and ssl port)
properties = FakeProperties({
SSL_API: "true",
SSL_API_PORT : "8443",
CLIENT_API_PORT_PROPERTY: None
})
result = get_ambari_server_api_base(properties)
self.assertEquals(result, 'https://127.0.0.1:8443/api/v1/')
class FakeProperties(object):
def __init__(self, prop_map):
self.prop_map = prop_map
def get_property(self, prop_name):
return self.prop_map[prop_name]
| 2,997 | 978 |
import sys
import time
from itertools import chain
from pathlib import Path
import nbformat
import notedown
def convert(path, timeout=40 * 60):
with path.open() as in_file:
notebook = notedown.MarkdownReader().read(in_file)
start = time.time()
notedown.run(notebook, timeout)
print(f"=== {path.name} finished evaluation in {time.time() - start} sec")
# need to add language info to for syntax highlight
notebook["metadata"].update(language_info={"name": "python"})
with path.with_suffix(".ipynb").open("w") as out_file:
out_file.write(nbformat.writes(notebook))
if __name__ == "__main__":
assert len(sys.argv) >= 2, "usage: input.md"
here = Path(".")
files = list(chain.from_iterable(map(here.glob, sys.argv[1:])))
for file in files:
convert(file)
| 828 | 280 |
from .tu_simple_lane import TusimpleLane | 40 | 15 |
import turtle as t
n = 50
t. bgcolor("black")
t. color("green")
t. speed(0)
for x in range(n):
t. circle(80)
t. lt(360/n)
| 147 | 69 |
from .dashboard_menu import * | 29 | 9 |
# The 3-Clause BSD License
# Copyright (C) 2019, KessK, all rights reserved.
# Copyright (C) 2019, Kison.Y, all rights reserved.
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
# following conditions are met: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 the copyright holder nor the names of its contributors 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 HOLDER 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 datetime
import hashlib
import random
import string
import time
from django.contrib.auth.models import User
from django.core.cache import cache
from django.http import JsonResponse
from django.shortcuts import render
from rest_framework.decorators import api_view
from common.AliyunIot import AliyunIot
from common.ExceptionAPI import AValidation400Error, response_json
from common.WechatCommonView import WechatCommonView
from common.config import ErrorCodes, DEVICE_MASK, DEVICE_NAME_DEFAULT, ALIYUN_IOT_CONTROL_APP_PRODUCT_KEY
from device.models import Device, DeviceBind, ControlDevice, AliyunIotRules
from device.wexinSignature import Signature
from rest_framework import status, generics
class BindView(WechatCommonView):
"""
Configure the device to connect to wifi AP in Wechat client
"""
template_name = "config-wechat-wifi.html"
def get_context_data(self, **kwargs):
context = super().get_context_data(**kwargs)
sign = Signature(self.full_url)
sign.sign()
print(sign.ret['nonceStr'])
print(sign.ret['jsapi_ticket'])
print(sign.ret['timestamp'])
print(sign.ret['url'])
context['sign'] = sign
return context
#
# class BindDeviceAPI(generics.CreateAPIView):
#
# def post(self, request, *args, **kwargs):
# print("ok")
@api_view(['POST'])
def bindDevice(request):
if not check_login(request):
raise AValidation400Error(detail="Unknow", code=ErrorCodes['global']['not_allowed'],
errcode=ErrorCodes['global']['not_allowed'])
chip_id = request.POST.get('chip')
if not request.session.get('userid') or not chip_id:
raise AValidation400Error(detail="Unknow", code=ErrorCodes['global']['required'],
errcode=ErrorCodes['global']['required'])
chip_id = str(chip_id).replace(DEVICE_MASK, '')
chip_id = str(chip_id).replace(':', '')
try:
device = Device.objects.get(device_chipid=chip_id)
user = User.objects.get(id=request.session['userid'])
except Device.DoesNotExist:
raise AValidation400Error(detail="Unknow", code=ErrorCodes['device']['not_exits'],
errcode=ErrorCodes['device']['not_exits'])
except User.DoesNotExist:
raise AValidation400Error(detail="Unknow", code=ErrorCodes['user']['not_exits'],
errcode=ErrorCodes['user']['not_exits'])
device_action = DeviceBindAction(device=device,user=user)
device_action.unbinding_device()
device_bind = device_action.bind_device()
return JsonResponse(response_json(data={'device_name':device_bind.device_name,'id':device_bind.id}), status=status.HTTP_201_CREATED)
@api_view(['POST'])
def bindShareDevice(request):
if not check_login(request):
raise AValidation400Error(detail="Unknow", code=ErrorCodes['global']['not_allowed'],
errcode=ErrorCodes['global']['not_allowed'])
share_code = request.POST.get('share_code')
if not request.session.get('userid') or not share_code:
raise AValidation400Error(detail="Unknow", code=ErrorCodes['global']['required'],
errcode=ErrorCodes['global']['required'])
share_info = cache.get(share_code)
if share_info is None:
raise AValidation400Error(detail="Unknow", code=ErrorCodes['device']['share_oft'],
errcode=ErrorCodes['device']['share_oft'])
user_id = share_info.get("user")
device_id = share_info.get("device")
try:
user = User.objects.get(id=user_id)
device = Device.objects.get(id=device_id)
current_user = User.objects.get(id=request.session.get('userid'))
device_bind = DeviceBind.objects.get(user=user, device=device, onActive=True)
except User.DoesNotExist or Device.DoesNotExist or DeviceBind.DoesNotExist:
raise AValidation400Error(detail="Unknow", code=ErrorCodes['global']['not_allowed'],
errcode=ErrorCodes['global']['not_allowed'])
device_action = DeviceBindAction(device=device, user=current_user)
device_bind = device_action.bind_device(origin_user=user)
return JsonResponse(response_json(data={'device_name': device_bind.device_name, 'id': device_bind.id}),
status=status.HTTP_201_CREATED)
@api_view(['PUT'])
def ccnameDevice(request):
if not check_login(request):
raise AValidation400Error(detail="Unknow", code=ErrorCodes['global']['not_allowed'],
errcode=ErrorCodes['global']['not_allowed'])
chip_id = request.POST.get('chip')
name = request.POST.get('name')
is_name = request.POST.get('is_name')
if not chip_id:
raise AValidation400Error(detail="Unknow", code=ErrorCodes['global']['required'],
errcode=ErrorCodes['global']['required'])
device_bind_action = DeviceBindAction(device=None,user=User.objects.get(id=request.session.get('userid')))
if not is_name:
device_bind = device_bind_action.update_device_name(device_bind_id=chip_id,name=name)
else:
device_bind = device_bind_action.update_device_name(device_bind_id=DeviceBind.objects.get(device__device_name=chip_id,user__id=request.session.get('userid'),onActive=True).id, name=name)
return JsonResponse(response_json(data={}),
status=status.HTTP_201_CREATED)
class DeviceBindAction():
def __init__(self,device,user):
self.device = device
self.user = user
self._deviceRule = DeviceRule(self.device,None)
control_device = self._deviceRule.create_control_device(self.user)
self._deviceRule.control_device = control_device
def unbinding_device(self):
self._deviceRule.delete_device_all_action()
try:
bind_log = DeviceBind.objects.filter(device=self.device, onActive=True).exclude(user=self.user)
bind_log.update(onActive=False, unbind_time=datetime.datetime.now())
bind_log = DeviceBind.objects.filter(device=self.device,onActive=True,origin_user__isnull=False).exclude(origin_user=self.user)
bind_log.update(onActive=False, unbind_time=datetime.datetime.now())
except DeviceBind.DoesNotExist:
pass
def unbind_user_device(self):
try:
if DeviceBind.objects.filter(device=self.device, user=self.user,onActive=True,origin_user=None).exists():
# Current user is the main user
self._deviceRule.delete_share_rule_action()
bind_log = DeviceBind.objects.filter(device=self.device, onActive=True, origin_user=self.user)
bind_log.update(onActive=False, unbind_time=datetime.datetime.now())
bind_log = DeviceBind.objects.filter(device=self.device, user=self.user, onActive=True)
bind_log.update(onActive=False, unbind_time=datetime.datetime.now())
# Delete rule action
self._deviceRule.delete_device2control_action()
# self._deviceRule.delete_control2device_action()
except DeviceBind.DoesNotExist:
pass
def get_user_device_name(self):
user_devices_count = DeviceBind.objects.filter(user=self.user, onActive=True).count() + 1
device_name = DEVICE_NAME_DEFAULT + str(user_devices_count)
return device_name
def bind_device(self,device_name=None,origin_user=None):
"""
Binding steps:
Step1. Create if not exists a binding log.
Step2. Create if not exists a device's rule.
Step3. Create if not exists a control device's rule # No more used
Step4. Create if there is no rule action from device to control device.
Step5. Create if there is no rule action from control device to device. # No more used
Step6. Create if there is no rule action from current control device to share's control device # No more used
Step7. Create if there is no rule action from share's control device to current control device # No more used
:param device_name:
:return:
"""
# Step.1
if not DeviceBind.objects.filter(user=self.user, device=self.device,onActive=True).exists():
if device_name is None:
device_name = self.get_user_device_name()
device_bind = DeviceBind(
device=self.device,
user=self.user,
origin_user=origin_user,
device_name=device_name,
onActive=True,
)
device_bind.save()
# Step.2-5
self._deviceRule.create_device2control_action()
# self._deviceRule.create_control2device_action()
#Step.6-7
# if origin_user is not None:
# origin_user_control = self._deviceRule.create_control_device(origin_user)
# self._deviceRule.create_share_rule_action(origin_user_control)
return DeviceBind.objects.get(user=self.user, device=self.device,onActive=True)
def update_device_name(self,device_bind_id,name):
try:
device_bind = DeviceBind.objects.get(id=device_bind_id)
except DeviceBind.DoesNotExist:
raise AValidation400Error(detail="Unknow", code=ErrorCodes['device']['not_exits'],
errcode=ErrorCodes['device']['not_exits'])
if not device_bind.user.id == self.user.id:
raise AValidation400Error(detail="Unknow", code=ErrorCodes['global']['not_allowed'],
errcode=ErrorCodes['global']['not_allowed'])
if name is None or name == device_bind.device_name:
pass
else:
device_bind.device_name = name
device_bind.save(update_fields=['device_name'])
return device_bind
class ControlDeviceAction():
def __init__(self,user):
self.user = user
self._aliyun = AliyunIot()
def create_control_device(self):
"""
Create a control device when it dose not exists.
Each user has only one control device
:return:
"""
if not ControlDevice.objects.filter(user=self.user).exists():
response = self._aliyun.register_control_device()
print('Aliyun response is ')
print(response)
if response is not None:
control_device = ControlDevice(
user=self.user,
product_name='KessK_Controllor',
device_name=response['DeviceName'],
product_key=response['ProductKey'],
device_secret=response['DeviceSecret'],
)
control_device.save()
return ControlDevice.objects.get(user=self.user)
def create_device2control_rule(self,device_bind,rule_name=None):
"""
Create Aliyun IoT rule from the esp8266 device to the control device.
It will only be created once.
:param device_bind:
:param rule_name:
:return:
"""
if rule_name is None:
rule_name = device_bind.device.device_name + "_2control_rule"
topic = "/"+device_bind.device.device_name+"/user/update"
if not AliyunIotRules.objects.filter(short_topic=topic,bind_device=device_bind).exists():
data = self._aliyun.create_rule(rule_name=rule_name,topic=topic,product_key=device_bind.device.product_key)
if data is not None:
aliyun_iot_relu = AliyunIotRules(
name=device_bind.device.device_name + self.user.first_name,
short_topic=topic,
ruleid=data["RuleId"],
bind_device=device_bind,
requestid=data["RequestId"]
)
aliyun_iot_relu.save()
data["rule_name"] = rule_name
return AliyunIotRules.objects.get(short_topic=topic,bind_device=device_bind)
def create_control2device_rule(self,device_bind,rule_name=None):
if rule_name is None:
rule_name = self.user.first_name + str(time.time()).replace('.','')
def create_device2control_rule_action(self,relu_id,rule_name,configuration,device_bind):
if not AliyunIotRules.objects.filter(ruleid=relu_id,action_config=configuration).exists():
data = self._aliyun.create_rule_action(relu_id,configuration)
if data is not None:
aliyun_iot_relu_ = AliyunIotRules(
name=rule_name + '_action_',
ruleid=relu_id,
bind_device=device_bind,
requestid=data["RequestId"],
action_type="REPUBLISH",
action_config=configuration,
)
aliyun_iot_relu_.save()
return AliyunIotRules.objects.get(ruleid=relu_id,action_config=configuration)
def start_rule(self,rule_id):
self._aliyun.start_rule(rule_id)
class DeviceRule():
def __init__(self,device,control_device):
self.device = device
self.control_device = control_device
self._aliyun = AliyunIot()
def create_control_device(self,user):
"""
Create a control device when it dose not exists.
Each user has only one control device
:return:
"""
if not ControlDevice.objects.filter(user=user).exists():
response = self._aliyun.register_control_device()
print('Aliyun response is ')
print(response)
if response is not None:
control_device = ControlDevice(
user=user,
product_name='KessK_Controllor',
device_name=response['DeviceName'],
product_key=response['ProductKey'],
device_secret=response['DeviceSecret'],
)
control_device.save()
return ControlDevice.objects.get(user=user)
def create_share_rule_action(self,origin_user_control):
# Get control device rule
control_device_rule = self.create_control_rule()
# Get share's control device rule
share_control_device_rule = self.create_rule(origin_user_control.device_name + "_2device_rule",
"/" + origin_user_control.device_name + "/user/update",
origin_user_control.product_key, origin_user_control.id, True)
# Create control device to share's control device action
configuration = "{\"topic\":\"/" + self.control_device.product_key + "/" + self.control_device.device_name + "/user/get\",\"topicType\":1}"
self.create_rule_action(share_control_device_rule.ruleid, configuration, self.control_device.id, True)
# Create share's control device to current control device
configuration = "{\"topic\":\"/" + origin_user_control.product_key + "/" + origin_user_control.device_name + "/user/get\",\"topicType\":1}"
self.create_rule_action(control_device_rule.ruleid, configuration, origin_user_control.id, True)
def delete_share_rule_action(self):
# Get all user share devices
all_share_bind_log = DeviceBind.objects.filter(device=self.device,origin_user=self.control_device.user,onActive=True)
control_device_rule = AliyunIotRules.objects.get(isControlDevice=True,device_id=self.control_device.id,isAction=False)
for share_bind_log in all_share_bind_log:
current_control_device = self.create_control_device(share_bind_log.user)
current_rule = AliyunIotRules.objects.get(isControlDevice=True,device_id=current_control_device.id,isAction=False)
try:
share_to_control_action = AliyunIotRules.objects.get(isAction=True,isControlDevice=True,
ruleid=control_device_rule.ruleid,
device_id=current_control_device.id)
self._aliyun.delete_rule_action(share_to_control_action.action_id)
share_to_control_action.delete()
except AliyunIotRules.DoesNotExist:
continue
try:
control_to_share_action = AliyunIotRules.objects.get(isAction=True, isControlDevice=True,
ruleid=current_rule.ruleid,
device_id=self.control_device.id)
self._aliyun.delete_rule_action(control_to_share_action.action_id)
control_to_share_action.delete()
except AliyunIotRules.DoesNotExist:
continue
def delete_device_all_action(self):
# Step.1 Delete device all actions. These rule action is from control devices to the esp8266 device
all_device_action = AliyunIotRules.objects.filter(isAction=True,isControlDevice=False,device_id=self.device.id)
for action in all_device_action:
self._aliyun.delete_rule_action(action.action_id)
action.delete()
# Step2. Delete all control devices actions. These rule action is from the esp8266 to control device
try:
device_rule = AliyunIotRules.objects.get(isAction=False,isControlDevice=False,device_id=self.device.id)
all_device_action = AliyunIotRules.objects.filter(ruleid=device_rule.ruleid,isAction=True)
for action in all_device_action:
self._aliyun.delete_rule_action(action.action_id)
action.delete()
except AliyunIotRules.DoesNotExist:
pass
def create_device_rule(self):
"""
Create Aliyun IoT rule from the esp8266 device to the control devices.
It will only be created once.
:return: The device's rule
"""
name = self.__md5(self.device.device_name + "_2control_rule")
topic = self.device.device_name + "/user/update"
return self.create_rule(name,topic,self.device.product_key,self.device.id,False)
def create_control_rule(self):
"""
Create Aliyun IoT rule from the control device device to the esp8266 devices.
It will only be created once.
:return: The device's rule
"""
name = self.__md5(self.control_device.device_name + "_2device_rule")
topic = "/" + self.control_device.device_name + "/user/update"
return self.create_rule(name,topic,self.control_device.product_key,self.control_device.id,True)
def create_device2control_action(self):
"""
Create action from esp8266 to control device
:return: The action object
"""
device_rule = self.create_device_rule()
configuration = "{\"topic\":\"/" + self.control_device.product_key + "/" + self.control_device.device_name + "/user/get\",\"topicType\":1}"
action = self.create_rule_action(device_rule.ruleid,configuration,self.control_device.id,True)
self._aliyun.start_rule(device_rule.ruleid)
return action
def create_control2device_action(self):
"""
Create action from control deivce to esp8266
:return: The action object
"""
device_rule = self.create_control_rule()
configuration = "{\"topic\":\"/" + self.device.product_key + "/" + self.device.device_name + "/user/get\",\"topicType\":1}"
action = self.create_rule_action(device_rule.ruleid, configuration, self.device.id, False)
self._aliyun.start_rule(device_rule.ruleid)
return action
def delete_device2control_action(self):
"""
Delete rule action from esp8266 to control device
:return:
"""
device_rule = self.create_device_rule()
try:
device_action = AliyunIotRules.objects.get(ruleid=device_rule.ruleid,isAction=True,device_id=self.control_device.id,isControlDevice=True)
except AliyunIotRules.DoesNotExist:
return
self._aliyun.delete_rule_action(device_action.action_id)
device_action.delete()
def delete_control2device_action(self):
"""
Delete rule action from control device to esp8266
:return:
"""
device_rule = self.create_control_rule()
try:
device_action = AliyunIotRules.objects.get(ruleid=device_rule.ruleid,isAction=True,device_id=self.device.id,isControlDevice=False)
except AliyunIotRules.DoesNotExist:
return
self._aliyun.delete_rule_action(device_action.action_id)
device_action.delete()
def create_rule_action(self,relu_id,configuration,device_id,is_control):
"""
Create Aliyun IoT rule action
Only one action per device or control device in each rule
:param relu_id:
:param configuration:
:param device_id:
:param is_control:
:return: The action object
"""
if not AliyunIotRules.objects.filter(ruleid=relu_id,action_config=configuration,isAction=True,device_id=device_id,isControlDevice=is_control).exists():
data = self._aliyun.create_rule_action(relu_id,configuration)
if data is not None:
aliyun_iot_relu_ = AliyunIotRules(
name=str(relu_id) + '_action_',
ruleid=relu_id,
isAction=True,
device_id=device_id,
action_id=data["ActionId"],
isControlDevice=is_control,
requestid=data["RequestId"],
action_type="REPUBLISH",
action_config=configuration,
)
aliyun_iot_relu_.save()
return AliyunIotRules.objects.get(ruleid=relu_id,action_config=configuration,isAction=True,device_id=device_id,isControlDevice=is_control)
def create_rule(self,rule_name,topic,product_key,device_id,is_control):
"""
Create Aliyun IoT rule
It will only be created once for each device or control device
:param rule_name:
:param topic:
:param product_key:
:param device_id:
:param is_control: if there is the control device's rule
:return: The device's rule
"""
if not AliyunIotRules.objects.filter(short_topic=topic,isControlDevice=is_control,device_id=device_id).exists():
data = self._aliyun.create_rule(rule_name=rule_name,topic=topic,product_key=product_key)
if data is not None:
aliyun_iot_relu = AliyunIotRules(
name=rule_name,
short_topic=topic,
ruleid=data["RuleId"],
isControlDevice=is_control,
device_id=device_id,
requestid=data["RequestId"]
)
aliyun_iot_relu.save()
# self._aliyun.start_rule(data["RuleId"])
return AliyunIotRules.objects.get(short_topic=topic,isControlDevice=is_control,device_id=device_id)
def __md5(self,str):
m = hashlib.md5()
m.update(str.encode("utf8"))
return m.hexdigest()[8:-8] + ''.join(random.sample(string.ascii_letters + string.digits, 4))
def check_login(request):
userid = request.session.get('userid')
if userid is None:
return False
return True | 25,389 | 7,394 |
from matplotlib import pyplot
iters = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1503, 1504, 1505, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1536, 1537, 1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, 1682, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1692, 1693, 1694, 1695, 1696, 1697, 1698, 1699, 1700, 1701, 1702, 1703, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1712, 1713, 1714, 1715, 1716, 1717, 1718, 1719, 1720, 1721, 1722, 1723, 1724, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1733, 1734, 1735, 1736, 1737, 1738, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1752, 1753, 1754, 1755, 1756, 1757, 1758, 1759, 1760, 1761, 1762, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1770, 1771, 1772, 1773, 1774, 1775, 1776, 1777, 1778, 1779, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1789, 1790, 1791, 1792, 1793, 1794, 1795, 1796, 1797, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1806, 1807, 1808, 1809, 1810, 1811, 1812, 1813, 1814, 1815, 1816, 1817, 1818, 1819, 1820, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1828, 1829, 1830, 1831, 1832, 1833, 1834, 1835, 1836, 1837, 1838, 1839, 1840, 1841, 1842, 1843, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1851, 1852, 1853, 1854, 1855, 1856, 1857, 1858, 1859, 1860, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1868, 1869, 1870, 1871, 1872, 1873, 1874, 1875, 1876, 1877, 1878, 1879, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1891, 1892, 1893, 1894, 1895, 1896, 1897, 1898, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1906, 1907, 1908, 1909, 1910, 1911, 1912, 1913, 1914, 1915, 1916, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2031, 2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053, 2054, 2055, 2056, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2170, 2171, 2172, 2173, 2174, 2175, 2176, 2177, 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4.856416109570147, 4.8581907898018555, 4.859124947865998, 4.858273027272538, 4.860771256059535]
pyplot.subplot(3,1,1,title="KLD sent vs Epochs")
pyplot.plot(iters,klw1_arr,color='blue',label='Train')
pyplot.yscale('log')
pyplot.xlabel('Epochs')
pyplot.ylabel('KL sent')
pyplot.legend()
pyplot.subplot(3,1,2,title="KLD Total vs Epochs")
pyplot.plot(iters,klw_arr,color='blue',label='Train')
pyplot.yscale('log')
pyplot.xlabel('Epochs')
pyplot.ylabel('KL Total')
pyplot.legend()
pyplot.subplot(3,1,3,title="Tot LB vs Epochs")
pyplot.plot(iters,tlb_arr,color='blue',label='Train')
pyplot.yscale('log')
pyplot.xlabel('Epochs')
pyplot.ylabel('TLB')
pyplot.legend()
pyplot.savefig('./Big_log.png') | 691,455 | 691,086 |
'''
Description: numpy项目相关
Author: HCQ
Company(School): UCAS
Email: 1756260160@qq.com
Date: 2021-04-25 19:49:38
LastEditTime: 2021-04-25 19:57:55
FilePath: /python-libraries/01Numpy/np_project.py
'''
import numpy as np
# 通过下标列表获取np数据
# A = [[ 3 4 5 6]
# [ 7 8 9 10]
# [11 12 13 14]]
A = np.arange(3,15).reshape((3,4))
index = np.arange(1,2) # [1]
print(index)
print(A[index]) # [[ 7 8 9 10]] | 403 | 239 |
import FWCore.ParameterSet.Config as cms
QualityMon = cms.EDAnalyzer("SiStripMonitorQuality",
StripQualityLabel = cms.string('test1'),
OutputMEsInRootFile = cms.bool(False),
OutputFileName = cms.string('SiStripQuality.root')
)
| 242 | 90 |
import os
import sys
sys.path.append("../../../monk/");
import psutil
from gluon_prototype import prototype
##########################################################################################################################
gtf = prototype(verbose=1);
gtf.Prototype("sample-project-1", "sample-experiment-1");
gtf.Default(dataset_path="../../../monk/system_check_tests/datasets/dataset_cats_dogs_train",
model_name="resnet18_v1", freeze_base_network=True, num_epochs=10);
gtf.Train();
##########################################################################################################################
# Press CTRL-C to interrupt training
################################################# Resume Training ########################################################
gtf = prototype(verbose=1);
gtf.Prototype("sample-project-1", "sample-experiment-1", resume_train=True);
gtf.Train();
########################################################################################################################## | 1,036 | 254 |
import models
from DefCurse import widgets
from DefCurse import style
from DefCurse import area
def render(model: models.Model, rows: int, cols: int):
areas = [
area.Area(
int(rows/2),
int(cols/2),
),
area.Area(
int(rows/2),
int(cols/2),
int(rows/2)
),
area.Area(
int(rows/2),
int(cols/2),
0,
int(cols/2)
),
area.Area(
int(rows/2),
int(cols/2),
int(rows/2),
int(cols/2),
),
]
a = widgets.labeled_box_widget(
areas[0],
"Main 0"
)
widgets.labeled_box_widget(
areas[1],
"Main 1"
)
widgets.labeled_box_widget(
areas[2],
"Main 2"
)
widgets.labeled_box_widget(
areas[3],
"Main 3"
)
widgets.text_widget(
a,
style.inverse(
"Hallo " +
style.bold("Welt ") +
" 4321"
) +
" 1234"
) | 1,087 | 370 |
from django.conf.urls import url, include
from rest_framework import routers
from api.views import UserViewSet, GroupViewSet,FeedViewSet
router = routers.DefaultRouter()
router.register(r'users', UserViewSet)
router.register(r'groups', GroupViewSet)
router.register(r'feeds', FeedViewSet)
router.register(r'category', FeedViewSet)
# Wire up our API using automatic URL routing.
# Additionally, we include login URLs for the browsable API.
urlpatterns = [
url(r'^', include(router.urls)),
url(r'^api-auth/', include('rest_framework.urls', namespace='rest_framework'))
] | 579 | 178 |
#!/usr/bin/env python3
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = [
]
setup_requirements = [
'pytest-runner',
]
test_requirements = [
'pytest>=3'
]
setup(
author="Alex Willmer",
author_email='alex@moreati.org.uk',
python_requires='>=3.5',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: Python :: 3 :: Only',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
],
description="Reference implementation of CB58 encoding used by AVA",
#entry_points={
# 'console_scripts': [
# 'cb58ref=cb58ref.cli:main',
# ],
#},
install_requires=requirements,
license="MIT license",
long_description=readme + '\n\n' + history,
include_package_data=True,
keywords='cb58 base58 ava',
name='cb58ref',
packages=find_packages(include=['cb58ref', 'cb58ref.*']),
setup_requires=setup_requirements,
test_suite='tests',
tests_require=test_requirements,
url='https://github.com/moreati/cb58ref',
version='0.2.0',
zip_safe=True,
)
| 1,512 | 515 |
import argparse
import os
import sys
import subprocess
import time
import numpy as np
import random
import h5py
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--data', type=str, required=True, help='training data')
parser.add_argument('--align', type=str, required=True, help='alignment data')
parser.add_argument('--output', type=str, required=True, help='output file')
args = parser.parse_args()
with h5py.File(args.output, 'w') as output:
with h5py.File(args.data, 'r') as data:
keys = data.keys()
with h5py.File(args.align, 'r') as align:
for key in keys:
mat = data[key+'/data'][()]
seq = align[key+'/align'][()]
seq = seq.tolist()
output.create_group(key)
output.create_dataset(key+'/data', data=mat)
output.create_dataset(key+'/align', data=seq)
if __name__ == "__main__":
main()
| 1,009 | 307 |
class Solution:
def XXX(self, strs: List[str]) -> str:
if not strs: return ''
s_min, s_max = min(strs), max(strs)
for i, c in enumerate(s_min):
if c != s_max[i]:
return s_min[:i]
return s_min
undefined
for (i = 0; i < document.getElementsByTagName("code").length; i++) { console.log(document.getElementsByTagName("code")[i].innerText); }
| 409 | 136 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
def has_duplicate(phrase):
seen = set()
words = phrase.split(' ')
for w in words:
if w in seen:
return True
seen.add(w)
return False
def check(text):
count = 0
phrases = text.split('\n')
for p in phrases:
if not has_duplicate(p):
count += 1
return count
if __name__ == "__main__":
if len(sys.argv) != 2:
print('Usage:', sys.argv[0], '<input>')
exit(1)
with open(sys.argv[1]) as f:
result = check(f.read().strip())
print('Result:', result)
| 627 | 225 |
import setuptools
from setuptools import setup, Extension, find_packages
from setuptools.command.build_ext import build_ext
import sys
import setuptools
import os
import re
import platform
import subprocess
# from pathlib import Path
from os.path import expanduser, join
from distutils.version import LooseVersion
import io
__version__ = '0.2.2'
# As of Python 3.6, CCompiler has a `has_flag` method.
# cf http://bugs.python.org/issue26689
def has_flag(compiler, flagname):
"""Return a boolean indicating whether a flag name is supported on
the specified compiler.
"""
import tempfile
with tempfile.NamedTemporaryFile('w', suffix='.cpp') as f:
f.write('int main (int argc, char **argv) { return 0; }')
try:
compiler.compile([f.name], extra_postargs=[flagname])
except setuptools.distutils.errors.CompileError:
return False
return True
def cpp_flag(compiler):
"""Return the -std=c++[11/14] compiler flag.
The c++14 is prefered over c++11 (when it is available).
"""
if has_flag(compiler, '-std=c++14'):
return '-std=c++14'
elif has_flag(compiler, '-std=c++11'):
return '-std=c++11'
else:
raise RuntimeError('Unsupported compiler -- at least C++11 support '
'is needed!')
# Readme file as long_description (from cirq):
stream = io.open('README.md', encoding='utf-8')
stream.readline()
long_description = stream.read()
class CMakeExtension(Extension):
def __init__(self, name, sourcedir=''):
Extension.__init__(self, name, sources=[])
self.sourcedir = os.path.abspath(sourcedir)
class CMakeBuild(build_ext):
def run(self):
try:
out = subprocess.check_output(['cmake', '--version'])
except OSError:
raise RuntimeError("CMake must be installed to build the following extensions: " +
", ".join(e.name for e in self.extensions))
if platform.system() == "Windows":
cmake_version = LooseVersion(re.search(r'version\s*([\d.]+)', out.decode()).group(1))
if cmake_version < '3.1.0':
raise RuntimeError("CMake >= 3.1.0 is required on Windows")
for ext in self.extensions:
self.build_extension(ext)
def build_extension(self, ext):
extdir = os.path.abspath(os.path.dirname(self.get_ext_fullpath(ext.name)))
cmake_args = ['-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=' + extdir,
'-DPYTHON_EXECUTABLE=' + sys.executable,
'-DBINDERS=' + 'release']
# cfg = 'Debug' if self.debug else 'Release'
# print(cfg)
cfg = 'Release'
build_args = ['--config', cfg]
if platform.system() == "Windows":
cmake_args += ['-DCMAKE_LIBRARY_OUTPUT_DIRECTORY_{}={}'.format(cfg.upper(), extdir)]
if sys.maxsize > 2**32:
cmake_args += ['-A', 'x64']
build_args += ['--', '/m']
else:
cmake_args += ['-DCMAKE_BUILD_TYPE=' + cfg]
build_args += ['--', '-j2']
env = os.environ.copy()
env['CXXFLAGS'] = '{} -DVERSION_INFO=\\"{}\\"'.format(env.get('CXXFLAGS', ''),
self.distribution.get_version())
if not os.path.exists(self.build_temp):
os.makedirs(self.build_temp)
subprocess.check_call(['cmake', ext.sourcedir] + cmake_args, cwd=self.build_temp, env=env)
subprocess.check_call(['cmake', '--build', '.'] + build_args, cwd=self.build_temp)
extensions = []
setup(
name='pytket',
version=__version__,
author='Seyon Sivarajah',
author_email='seyon.sivarajah@cambridgequantum.com',
python_requires='>=3.6',
url='https://github.com/CQCL/pytket',
description='Python module for interfacing with the CQC t|ket> library of quantum software',
long_description=long_description,
long_description_content_type='text/markdown',
license="Apache 2.0",
packages=setuptools.find_packages(),
install_requires=[
'sympy >=1.3',
'numpy'
],
ext_modules=extensions,
cmdclass={
'build_ext': CMakeBuild
},
classifiers=[
"Environment :: Console",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"License :: OSI Approved :: Apache Software License",
"Operating System :: MacOS :: MacOS X",
"Operating System :: POSIX :: Linux",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering"
],
zip_safe=False,
)
| 4,707 | 1,500 |
'''
https://www.geeksforgeeks.org/command-method-python-design-patterns/
Command Method is Behavioral Design Pattern that encapsulates a request as an object, thereby allowing for the parameterization of clients with different requests and the queuing or logging of requests. Parameterizing other objects with different requests in our analogy means that the button used to turn on the lights can later be used to turn on stereo or maybe open the garage door. It helps in promoting the “invocation of a method on an object” to full object status. Basically, it encapsulates all the information needed to perform an action or trigger an event.
Problem without using Command Method
Imagine you are working on a code editor. Your current task is to add the new buttons in the toolbar of the editor for various different operations. It’s definitely easy to create a single Button Class that can be used for the buttons. As we know that all the buttons used in the editor look similar, so what should we do? Should we create a lot of sub-classes for each place where the button is used?
Problem-without-Command-method
Solution Using Command Method
Let’s have a look at the solution for the above-described problem. It’s always a good idea to divide the software into different layers which helps in easy coding as well as debugging. The command pattern suggests that objects shouldn’t send these requests directly. Instead, you should extract all of the request details, such as the object being called, the name of the method and the list of arguments into a separate command class with a single method that triggers this request.
• Python3
'''
"""Use built-in abc to implement Abstract classes and methods"""
"""Class Dedicated to Command"""
from abc import ABC, abstractmethod
class Command(ABC):
"""constructor method"""
def __init__(self, receiver):
self.receiver = receiver
"""process method"""
def process(self):
pass
"""Class dedicated to Command Implementation"""
class CommandImplementation(Command):
"""constructor method"""
def __init__(self, receiver):
self.receiver = receiver
"""process method"""
def process(self):
self.receiver.perform_action()
"""Class dedicated to Receiver"""
class Receiver:
"""perform-action method"""
def perform_action(self):
print('Action performed in receiver.')
"""Class dedicated to Invoker"""
class Invoker:
"""command method"""
def command(self, cmd):
self.cmd = cmd
"""execute method"""
def execute(self):
self.cmd.process()
"""main method"""
if __name__ == "__main__":
"""create Receiver object"""
receiver = Receiver()
cmd = CommandImplementation(receiver)
invoker = Invoker()
invoker.command(cmd)
invoker.execute()
'''
Output
Action performed in receiver.
Class Diagram
Following is the class diagram for the Command method
Class-diagram-Command-Method
Advantages
• Open/Closed Principle: We can introduce the new commands into the application without breaking the existing client’s code.
• Single Responsibility Principle: It’s really easy to decouple the classes here that invoke operations from other classes.
• Implementable UNDO/REDO: It’s possible to implement the functionalities of UNDO/REDO with the help of Command method.
• Encapsulation: It helps in encapsulating all the information needed to perform an action or an event.
Disadvantages
• Complexity Increases: The complexity of the code increases as we are introducing certain layers between the senders and the receivers.
• Quantity of classes increases: For each individual command, the quantity of the classes increases.
• Concrete Command: Every individual command is a ConcreteCommand class that increases the volume of the classes for implementation and maintenance.
Applicability
• Implementing Reversible operations: As the Command method provides the functionalities for UNDO/REDO operations, we can possibly reverse the operations.
• Parameterization: It’s always preferred to use Command method when we have to parameterize the objects with the operations.
'''
| 4,156 | 1,021 |
import functools
import numpy as np
import theano
import theano.tensor as T
import treeano
import treeano.nodes as tn
import canopy
from treeano.sandbox.nodes import batch_normalization as bn
fX = theano.config.floatX
@treeano.register_node("strided_downsample")
class StridedDownsampleNode(treeano.NodeImpl):
hyperparameter_names = ("strides",)
def compute_output(self, network, in_vw):
strides = network.find_hyperparameter(["strides"])
out_slices = []
out_shape = list(in_vw.shape)
for idx, stride in enumerate(strides):
out_slices.append(slice(None, None, stride))
size = out_shape[idx]
if size is not None:
out_shape[idx] = (size + stride - 1) // stride
network.create_vw(
"default",
variable=in_vw.variable[tuple(out_slices)],
shape=tuple(out_shape),
tags={"output"},
)
@treeano.register_node("resnet_init_conv_2d")
class ResnetInitConv2DNode(treeano.NodeImpl):
"""
NOTE: originally copy-pasted from Conv2DNode
"""
hyperparameter_names = ("inits",
"num_filters",
"filter_size",
"conv_stride",
"stride",
"conv_pad",
"pad")
def compute_output(self, network, in_vw):
# gather hyperparameters
num_filters = network.find_hyperparameter(["num_filters"])
filter_size = network.find_hyperparameter(["filter_size"])
stride = network.find_hyperparameter(["conv_stride", "stride"], (1, 1))
pad = network.find_hyperparameter(["conv_pad", "pad"], "valid")
pad = tn.conv.conv_parse_pad(filter_size, pad)
assert len(filter_size) == 2
# create weight
num_channels = in_vw.shape[1]
filter_shape = (num_filters, num_channels) + tuple(filter_size)
W = network.create_vw(
name="weight",
is_shared=True,
shape=filter_shape,
tags={"parameter", "weight"},
default_inits=[],
).variable
# calculate identity for resnet init
# ---
# read hyperparams
identity_ratio = network.find_hyperparameter(["identity_ratio"], 0.5)
ratio_on_input = network.find_hyperparameter(["ratio_on_input"], True)
# find center spatial location
dim0_idx = filter_shape[2] // 2
dim1_idx = filter_shape[3] // 2
# create identity kernel
ratio_idx = 1 if ratio_on_input else 0
init = np.zeros(filter_shape, dtype=theano.config.floatX)
for i in range(min(filter_shape[0],
filter_shape[1],
int(identity_ratio * filter_shape[ratio_idx]))):
init[i, i, dim0_idx, dim1_idx] += 1
out_var = T.nnet.conv2d(input=in_vw.variable,
filters=W + init,
input_shape=in_vw.shape,
filter_shape=filter_shape,
border_mode=pad,
subsample=stride)
out_shape = tn.conv.conv_output_shape(input_shape=in_vw.shape,
num_filters=num_filters,
axes=(2, 3),
conv_shape=filter_size,
strides=stride,
pads=pad)
network.create_vw(
"default",
variable=out_var,
shape=out_shape,
tags={"output"},
)
@treeano.register_node("resnet_init_conv_2d_with_bias")
class ResnetInitConv2DWithBiasNode(treeano.Wrapper0NodeImpl):
hyperparameter_names = ResnetInitConv2DNode.hyperparameter_names
def architecture_children(self):
return [
tn.SequentialNode(
self._name + "_sequential",
[ResnetInitConv2DNode(self._name + "_conv"),
tn.AddBiasNode(self._name + "_bias",
broadcastable_axes=(0, 2, 3))])]
@treeano.register_node("zero_last_axis_partition")
class _ZeroLastAxisPartitionNode(treeano.NodeImpl):
"""
zeros out a fraction of a tensor
"""
hyperparameter_names = ("zero_ratio",
"axis")
def compute_output(self, network, in_vw):
zero_ratio = network.find_hyperparameter(["zero_ratio"])
axis = network.find_hyperparameter(["axis"], 1)
in_var = in_vw.variable
size = treeano.utils.as_fX(in_var.shape[axis])
num_zeros = T.round(zero_ratio * size).astype("int32")
idxs = [None] * (axis - 1) + [slice(-num_zeros, None)]
out_var = T.set_subtensor(in_var[idxs], 0)
network.create_vw(
"default",
variable=out_var,
shape=in_vw.shape,
tags={"output"},
)
def residual_block_conv_2d(name,
num_filters,
num_layers,
increase_dim=None,
conv_node=tn.Conv2DNode,
bn_node=bn.BatchNormalizationNode,
activation_node=tn.ReLUNode,
input_num_filters=None,
projection_filter_size=(1, 1),
increase_dim_stride=(2, 2),
no_identity=False):
if increase_dim is not None:
assert increase_dim in {"projection", "pad"}
first_stride = increase_dim_stride
if increase_dim == "projection":
identity_node = tn.SequentialNode(
name + "_projection",
[tn.Conv2DNode(name + "_projectionconv",
num_filters=num_filters,
filter_size=projection_filter_size,
stride=first_stride,
pad="same"),
bn_node(name + "_projectionbn")])
elif increase_dim == "pad":
assert input_num_filters is not None
identity_node = tn.SequentialNode(
name + "_pad",
[StridedDownsampleNode(
name + "_stride",
strides=(1, 1) + first_stride),
tn.PadNode(
name + "_addpad",
padding=(0, (num_filters - input_num_filters) // 2, 0, 0))])
else:
first_stride = (1, 1)
identity_node = tn.IdentityNode(name + "_identity")
nodes = []
# first node
for i in range(num_layers):
if i == 0:
# first conv
# ---
# same as middle convs, but with stride
nodes += [
conv_node(name + "_conv%d" % i,
num_filters=num_filters,
stride=first_stride,
pad="same"),
bn_node(name + "_bn%d" % i),
activation_node(name + "_activation%d" % i),
]
else:
nodes += [
conv_node(name + "_conv%d" % i,
num_filters=num_filters,
stride=(1, 1),
pad="same"),
bn_node(name + "_bn%d" % i),
activation_node(name + "_activation%d" % i),
]
# for last conv, remove activation
nodes.pop()
residual_node = tn.SequentialNode(name + "_seq", nodes)
if no_identity:
# ability to disable resnet connections
return residual_node
else:
return tn.ElementwiseSumNode(name,
[identity_node,
residual_node])
def resnet_init_block_conv_2d(*args, **kwargs):
return residual_block_conv_2d(*args,
conv_node=ResnetInitConv2DNode,
**kwargs)
def resnet_init_projection_conv_2d(name,
num_filters,
num_layers,
bn_node=bn.BatchNormalizationNode,
activation_node=tn.ReLUNode,
stride=(1, 1)):
nodes = []
# first node
for i in range(num_layers):
if i == 0:
# first conv
# ---
# same as middle convs, but with stride
nodes += [
tn.Conv2DNode(name + "_conv%d" % i,
num_filters=num_filters,
stride=stride,
pad="same"),
bn_node(name + "_bn%d" % i),
activation_node(name + "_activation%d" % i),
]
else:
nodes += [
ResnetInitConv2DNode(name + "_conv%d" % i,
num_filters=num_filters,
stride=(1, 1),
pad="same"),
bn_node(name + "_bn%d" % i),
activation_node(name + "_activation%d" % i),
]
# for last conv, remove activation
nodes.pop()
return tn.SequentialNode(name + "_seq", nodes)
def preactivation_residual_block_conv_2d(name,
num_filters,
num_layers,
increase_dim=None,
initial_block=False,
conv_node=tn.Conv2DNode,
bn_node=bn.BatchNormalizationNode,
activation_node=tn.ReLUNode,
input_num_filters=None,
projection_filter_size=(1, 1),
increase_dim_stride=(2, 2),
no_identity=False):
"""
from http://arxiv.org/abs/1603.05027
"""
if increase_dim is not None:
assert increase_dim in {"projection", "pad"}
first_stride = increase_dim_stride
if increase_dim == "projection":
# TODO remove pre-activation when initial block
assert not initial_block
identity_node = tn.SequentialNode(
name + "_projection",
[
bn_node(name + "_projectionbn"),
activation_node(name + "_projectionactivation"),
tn.Conv2DNode(name + "_projectionconv",
num_filters=num_filters,
filter_size=projection_filter_size,
stride=first_stride,
pad="same"),
])
elif increase_dim == "pad":
assert input_num_filters is not None
identity_node = tn.SequentialNode(
name + "_pad",
[StridedDownsampleNode(
name + "_stride",
strides=(1, 1) + first_stride),
tn.PadNode(
name + "_addpad",
padding=(0, (num_filters - input_num_filters) // 2, 0, 0))])
else:
first_stride = (1, 1)
identity_node = tn.IdentityNode(name + "_identity")
nodes = []
# first node
for i in range(num_layers):
if i == 0:
# first conv
# ---
# maybe remove initial activation
if not initial_block:
nodes += [
bn_node(name + "_bn%d" % i),
activation_node(name + "_activation%d" % i),
]
# same as middle convs, but with stride
nodes += [
conv_node(name + "_conv%d" % i,
num_filters=num_filters,
stride=first_stride,
pad="same"),
]
else:
nodes += [
bn_node(name + "_bn%d" % i),
activation_node(name + "_activation%d" % i),
conv_node(name + "_conv%d" % i,
num_filters=num_filters,
stride=(1, 1),
pad="same"),
]
residual_node = tn.SequentialNode(name + "_seq", nodes)
if no_identity:
# ability to disable resnet connections
return residual_node
else:
return tn.ElementwiseSumNode(name,
[identity_node,
residual_node])
def generalized_residual(name, nodes, identity_ratio=0.5):
return tn.ElementwiseSumNode(
name,
[_ZeroLastAxisPartitionNode(name + "_zero",
zero_ratio=(1 - identity_ratio)),
tn.SequentialNode(
name + "_seq",
nodes)])
def generalized_residual_conv_2d(name,
num_filters,
include_preactivation=True,
bn_node=bn.BatchNormalizationNode,
activation_node=tn.ReLUNode,
conv_node=tn.Conv2DNode,
identity_ratio=0.5):
"""
generalized resnet block based on pre-activation resnet
"""
nodes = []
if include_preactivation:
# add pre-activation
nodes += [
bn_node(name + "_bn"),
activation_node(name + "_activation"),
]
nodes += [conv_node(name + "_conv", num_filters=num_filters)]
return generalized_residual(name, nodes, identity_ratio)
def generalized_residual_block_conv_2d(name,
num_filters,
num_layers,
increase_dim=None,
initial_block=False,
bn_node=bn.BatchNormalizationNode,
activation_node=tn.ReLUNode,
conv_node=tn.Conv2DNode,
identity_ratio=0.5,
input_num_filters=None,
projection_filter_size=(1, 1),
increase_dim_stride=(2, 2),
no_identity=False):
if no_identity: # HACK for compatibility
identity_ratio = 0
nodes = []
if increase_dim is not None:
if increase_dim == "projection":
# TODO remove pre-activation when initial block
assert not initial_block
# TODO maybe reduce layers by 1 to have same depth
# num_layers -= 1
nodes += [tn.SequentialNode(
name + "_projection",
[bn_node(name + "_projectionbn"),
activation_node(name + "_projectionactivation"),
tn.Conv2DNode(name + "_projectionconv",
num_filters=num_filters,
filter_size=projection_filter_size,
stride=increase_dim_stride,
pad="same")])]
elif increase_dim == "pad":
assert input_num_filters is not None
nodes += [tn.SequentialNode(
name + "_pad",
[StridedDownsampleNode(
name + "_stride",
strides=(1, 1) + increase_dim_stride),
tn.PadNode(
name + "_addpad",
padding=(0, (num_filters - input_num_filters) // 2, 0, 0))])]
else:
raise ValueError(increase_dim)
for i in range(num_layers):
include_preactivation = (not initial_block) or (i != 0)
nodes += [generalized_residual_conv_2d(
"%s_%d" % (name, i),
include_preactivation=include_preactivation,
num_filters=num_filters,
activation_node=activation_node,
identity_ratio=identity_ratio)]
return tn.SequentialNode(name, nodes)
def pool_with_projection_2d(name,
projection_filters,
stride=(2, 2),
filter_size=(3, 3),
bn_node=bn.BatchNormalizationNode):
pool_node = tn.MaxPool2DNode(name + "_pool",
pool_size=stride,
stride=stride)
projection_node = tn.SequentialNode(
name + "_projection",
[tn.Conv2DNode(name + "_projectionconv",
num_filters=projection_filters,
filter_size=filter_size,
stride=stride,
pad="same"),
bn_node(name + "_projectionbn")])
return tn.ConcatenateNode(name, [pool_node, projection_node])
def forget_gate_conv_2d_node(name,
num_filters,
filter_size=(3, 3),
initial_bias=0):
return tn.ElementwiseProductNode(
name,
[tn.IdentityNode(name + "_identity"),
tn.SequentialNode(
name + "_forget",
[tn.Conv2DWithBiasNode(name + "_conv",
num_filters=num_filters,
filter_size=filter_size,
stride=(1, 1),
pad="same"),
tn.AddConstantNode(name + "_initial_bias", value=initial_bias),
tn.SigmoidNode(name + "_sigmoid")])])
| 18,099 | 4,899 |
from test_module import module_func_2 as oar
module_func() | 58 | 19 |
from astropy import constants
import math
import autofit as af
import autoarray as aa
import autogalaxy as ag
from autoarray.mock.mock import *
from autofit.mock.mock import *
from autofit.mock import mock as af_m
# MockProfiles #
class MockLightProfile(ag.lp.LightProfile):
def __init__(
self,
image_2d=None,
image_2d_value=None,
image_2d_first_value=None,
value=None,
value1=None,
):
super().__init__()
self.image_2d = image_2d
self.image_2d_value = image_2d_value
self.image_2d_first_value = image_2d_first_value
self.value = value
self.value1 = value1
def image_2d_from(self, grid):
if self.image_2d is not None:
return self.image_2d
image_2d = np.ones(shape=(grid.shape[0]))
if self.image_2d_first_value is not None:
image_2d[0] = self.image_2d_first_value
return image_2d
class MockMassProfile(ag.mp.MassProfile):
def __init__(
self,
convergence_2d=None,
potential_2d=None,
deflections_yx_2d=None,
value=None,
value1=None,
):
super().__init__()
self.convergence_2d = convergence_2d
self.potential_2d = potential_2d
self.deflections_2d = deflections_yx_2d
self.value = value
self.value1 = value1
def convergence_2d_from(self, grid):
return self.convergence_2d
def potential_2d_from(self, grid):
return self.potential_2d
def deflections_yx_2d_from(self, grid):
return self.deflections_2d
# Mock Galaxy #
class MockGalaxy:
def __init__(self, value, shape=1):
self.value = value
self.shape = shape
@aa.grid_dec.grid_2d_to_structure
def image_2d_from(self, grid):
return np.full(shape=self.shape, fill_value=self.value)
@aa.grid_dec.grid_2d_to_structure
def convergence_2d_from(self, grid):
return np.full(shape=self.shape, fill_value=self.value)
@aa.grid_dec.grid_2d_to_structure
def potential_2d_from(self, grid):
return np.full(shape=self.shape, fill_value=self.value)
@aa.grid_dec.grid_2d_to_structure
def deflections_yx_2d_from(self, grid):
return np.full(shape=(self.shape, 2), fill_value=self.value)
# Mock Cosmology #
class Value:
def __init__(self, value):
self.value = value
def to(self, *args, **kwargs):
return Value(value=self.value)
class MockCosmology:
def __init__(
self,
arcsec_per_kpc=0.5,
kpc_per_arcsec=2.0,
critical_surface_density=2.0,
cosmic_average_density=2.0,
):
self.arcsec_per_kpc = arcsec_per_kpc
self.kpc_per_arcsec = kpc_per_arcsec
self.critical_surface_density = critical_surface_density
self.cosmic_average_density = cosmic_average_density
def arcsec_per_kpc_proper(self, z):
return Value(value=self.arcsec_per_kpc)
def kpc_per_arcsec_proper(self, z):
return Value(value=self.kpc_per_arcsec)
def angular_diameter_distance(self, z):
return Value(value=1.0)
def angular_diameter_distance_z1z2(self, z1, z2):
const = constants.c.to("kpc / s") ** 2.0 / (
4 * math.pi * constants.G.to("kpc3 / (solMass s2)")
)
return Value(value=self.critical_surface_density * const.value)
def critical_density(self, z):
return Value(value=self.cosmic_average_density)
# Mock Model-Fitting #
class MockResult(af_m.MockResult):
def __init__(
self,
samples=None,
instance=None,
model=None,
analysis=None,
search=None,
mask=None,
model_image=None,
path_galaxy_tuples=None,
hyper_galaxy_image_path_dict=None,
hyper_model_image=None,
hyper_galaxy_visibilities_path_dict=None,
hyper_model_visibilities=None,
pixelization=None,
):
super().__init__(
samples=samples,
instance=instance,
model=model,
analysis=analysis,
search=search,
)
self.mask = mask
self.hyper_galaxy_image_path_dict = hyper_galaxy_image_path_dict
self.hyper_model_image = hyper_model_image
self.path_galaxy_tuples = path_galaxy_tuples
self.hyper_galaxy_visibilities_path_dict = hyper_galaxy_visibilities_path_dict
self.hyper_model_visibilities = hyper_model_visibilities
self.model_image = model_image
self.unmasked_model_image = model_image
self.pixelization = pixelization
self.max_log_likelihood_plane = ag.Plane(galaxies=[ag.Galaxy(redshift=0.5)])
@property
def last(self):
return self
class MockResults(af.ResultsCollection):
def __init__(
self,
samples=None,
instance=None,
model=None,
analysis=None,
search=None,
mask=None,
model_image=None,
hyper_galaxy_image_path_dict=None,
hyper_model_image=None,
hyper_galaxy_visibilities_path_dict=None,
hyper_model_visibilities=None,
pixelization=None,
):
"""
A collection of results from previous searchs. Results can be obtained using an index or the name of the search
from whence they came.
"""
super().__init__()
result = MockResult(
samples=samples,
instance=instance,
model=model,
analysis=analysis,
search=search,
mask=mask,
model_image=model_image,
hyper_galaxy_image_path_dict=hyper_galaxy_image_path_dict,
hyper_model_image=hyper_model_image,
hyper_galaxy_visibilities_path_dict=hyper_galaxy_visibilities_path_dict,
hyper_model_visibilities=hyper_model_visibilities,
pixelization=pixelization,
)
self.__result_list = [result]
@property
def last(self):
"""
The result of the last search
"""
if len(self.__result_list) > 0:
return self.__result_list[-1]
return None
def __getitem__(self, item):
"""
Get the result of a previous search by index
Parameters
----------
item: int
The index of the result
Returns
-------
result: Result
The result of a previous search
"""
return self.__result_list[item]
def __len__(self):
return len(self.__result_list)
| 6,857 | 2,332 |
import json
import ast
import plotly.plotly as py
import plotly.graph_objs as go
import plotly.io as pio
import os
import numpy as np
import plotly
plotly.io.orca.config.executable = '/home/gabi/dev/miniconda3/bin/orca' #May be useful in Ubuntu
#PARAMS
logs_path = "C:\\Users\\gbosetti\\Desktop\\test\\logs"
output_path = "C:\\Users\\gbosetti\\Desktop"
# Functions
def draw_scatterplot(**kwargs):
data = []
annotations = []
for res in kwargs["results"]:
x = res[kwargs['x_axis_prop']]
y = res[kwargs['y_axis_prop']]
a,x_markers,y_markers = annotate_extrema(y, 5, 3.5, 0.75, x)
annotations = annotations + a
trace = go.Scatter(
x=res[kwargs["x_axis_prop"]],
y=res[kwargs["y_axis_prop"]],
name=res[kwargs["trace_name"]]
)
data.append(trace)
layout = go.Layout(
title=go.layout.Title(
text=kwargs["title"],
xref='paper',
x=0
),
xaxis=go.layout.XAxis(
title=go.layout.xaxis.Title(
text=kwargs["x_axis_label"],
font=dict(
size=18,
color='#7f7f7f'
)
)
),
yaxis=go.layout.YAxis(
title=go.layout.yaxis.Title(
text=kwargs["y_axis_label"],
font=dict(
size=18,
color='#7f7f7f'
)
)
)
)
# add annotations
layout.update(dict(annotations=annotations))
fig = go.Figure(data=data, layout=layout)
pio.write_image(fig, kwargs["full_path"])
def inflexion_points(y,x):
# a state machine to find inflexion points
last_y = None
points = []
state = 0
for x_val,y_val in zip(x,y):
if state == 0:
last_y = y_val
last_x = x_val
state = 1
elif state == 1:
if last_y > y_val:
state = 2
last_y = y_val
last_x = x_val
points.append({"x":last_x,"y":last_y, "inflexion": False})
else:
last_y = y_val
last_x = x_val
points.append({"x":last_x,"y":last_y, "inflexion": False})
state = 3
elif state == 2:
if last_y < y_val:
# change state because found an inflexion point
state = 3
# the last one was an inflexion point, annotate using the previous values
points.append({"x":last_x,"y":last_y, "inflexion": True})
last_y = y_val
last_x = x_val
else:
# stay on the same state until the next inflexion point
points.append({"x":last_x,"y":last_y, "inflexion": False})
last_y = y_val
last_x = x_val
elif state == 3:
if last_y > y_val:
state = 2
# annotate
points.append({"x":last_x,"y":last_y, "inflexion": True})
last_y = y_val
last_x = x_val
else:
# stay on the same state until the next inflexion point
points.append({"x":last_x,"y":last_y, "inflexion": False})
last_y = y_val
last_x = x_val
# the last point can be tagged if needed
points.append({"x":last_x,"y":last_y, "inflexion": True})
return np.asarray(points)
def annotate_extrema(y, lag, threshold, influence,x):
ip = inflexion_points(x=x,y=y)
th = threshold_points(y,lag,threshold,influence)
state = 0
annotations = []
markers_x = []
markers_y = []
for signal,inflexion in zip(th["signals"], ip):
if state == 0:
if signal == 0:
# go to the next
state = 0
else:
state = 1
if inflexion["inflexion"]:
state = 0
annotations.append(go.layout.Annotation(text="("+"{:12.2f}".format(inflexion["x"]).strip()+";"+"{:12.2f}".format(inflexion["y"]).strip()+")", x=inflexion["x"], y=inflexion["y"],align="center", valign='bottom', showarrow=False))
markers_x.append(inflexion["x"])
markers_y.append(inflexion["y"])
elif state == 1:
if inflexion["inflexion"]:
state = 0
annotations.append(go.layout.Annotation(text="("+"{:12.2f}".format(inflexion["x"]).strip()+";"+"{:12.2f}".format(inflexion["y"]).strip()+")", x=inflexion["x"], y=inflexion["y"],align="center", valign='bottom', showarrow=False))
markers_x.append(inflexion["x"])
markers_y.append(inflexion["y"])
else:
# keep looking
state = 1
return annotations,markers_x,markers_y
# https://stackoverflow.com/questions/22583391/peak-signal-detection-in-realtime-timeseries-data/43512887#43512887
def threshold_points(y, lag, threshold, influence):
signals = np.zeros(len(y))
filteredY = np.array(y)
avgFilter = [0]*len(y)
stdFilter = [0]*len(y)
avgFilter[lag - 1] = np.mean(y[0:lag])
stdFilter[lag - 1] = np.std(y[0:lag])
for i in range(lag, len(y)):
if abs(y[i] - avgFilter[i-1]) > threshold * stdFilter [i-1]:
if y[i] > avgFilter[i-1]:
signals[i] = 1
else:
signals[i] = -1
filteredY[i] = influence * y[i] + (1 - influence) * filteredY[i-1]
avgFilter[i] = np.mean(filteredY[(i-lag+1):i+1])
stdFilter[i] = np.std(filteredY[(i-lag+1):i+1])
else:
signals[i] = 0
filteredY[i] = y[i]
avgFilter[i] = np.mean(filteredY[(i-lag+1):i+1])
stdFilter[i] = np.std(filteredY[(i-lag+1):i+1])
return dict(signals = np.asarray(signals),
avgFilter = np.asarray(avgFilter),
stdFilter = np.asarray(stdFilter))
def read_file(path):
file = open(path, "r")
logs = '['
for line in file:
line = line.replace('", "f1"', ', "f1"')
line = line.replace('", "recall"', ', "recall"')
line = line.replace('", "precision"', ', "precision"')
line = line.replace('", "positive_precision"', ', "positive_precision"')
line = line.replace('", "wrong_pred_answers"', ', "wrong_pred_answers"')
logs = logs + line
logs = logs[:-1]
logs = logs + ']'
return json.loads(logs.replace('\n', ','))
def process_results(logs):
loop_logs = [log for log in logs if 'loop' in log]
loops_values = [log["loop"] for log in logs if 'loop' in log] # datetime
accuracies = [log["accuracy"] for log in logs if 'loop' in log]
#diff_accuracies = [0 if log["diff_accuracy"] == 'None' else float(log["diff_accuracy"]) for log in logs if 'loop' in log]
precision = [log["precision"] for log in logs if 'loop' in log]
positive_precision = [log["positive_precision"] for log in logs if 'loop' in log]
recall = [log["recall"] for log in logs if 'loop' in log]
wrong_answers = [log["wrong_pred_answers"] for log in logs if 'loop' in log]
return loops_values, accuracies, wrong_answers, precision, positive_precision, recall #diff_accuracies, wrong_answers
def print_in_file(content, path):
file = open(path, "a+")
file.write(content)
file.close()
def draw_evolution(var_name, labeled_var_name, res):
draw_scatterplot(title="Evolution of " + labeled_var_name + " across loops", results=res,
x_axis_label="Loop", y_axis_label=labeled_var_name,
x_axis_prop="loops", y_axis_prop=var_name,
trace_name="scenario_name", full_path=os.path.join(output_path, '_ANNOTATED_EXT_HYP_' + labeled_var_name + '.png'))
# Initialization
logs_folders = [f.path for f in os.scandir(logs_path) if f.is_dir() ]
# Looping each session to get the HYP results
hyp_results = []
for path in logs_folders:
# Get all the HYP files for the session
session_files = [f for f in os.scandir(path) if not f.is_dir() and "_OUR_" in f.name]
# Get the logs of the only file for HYP
logs = read_file(session_files[0].path)
# Get the values from such file
loops_values, accuracies, wrong_answers, precision, positive_precision, recall = process_results(logs)
hyp_results.append({ "loops": loops_values,
"accuracies": accuracies, # "diff_accuracies": diff_accuracies,
"precision": precision,
"positive_precision": positive_precision,
"recall": recall,
"wrong_answers": wrong_answers,
"_total_wrong_answers": sum(wrong_answers),
"_total_loops": len(loops_values),
"scenario_name": "Secnario " + path[-1:], "_max_accuracy": round(max(accuracies), 2)})
print("hyp_results:\n", json.dumps(hyp_results, indent=4, sort_keys=True))
draw_evolution("accuracies", "accuracy", hyp_results)
# draw_evolution("diff_accuracies", "diff. accuracy", hyp_results)
draw_evolution("wrong_answers", "wrong answers", hyp_results)
draw_evolution("recall", "recall", hyp_results)
draw_evolution("precision", "precision", hyp_results)
draw_evolution("positive_precision", "positive precision", hyp_results)
| 9,441 | 3,159 |
from controllers import *
route = [
(
r"/",
home.homeHandler
),
(
r"/auth/register",
auth.registerHandler
),
(
r"/logout",
logout.logoutHandler
),
(
r"/home",
timetable.timeTableHandler
),
(
r"/auth/login",
auth.loginHandler
)
]
| 285 | 148 |
# -*- coding: utf-8 -*-
import unittest
import libkeepass
import keepass_guesser
# file : attempts from file expected before success or failure
guess_files = {'tests/data/guesslist0': {'attempts': 3, 'guessphrase': None},
'tests/data/guesslist1': {'attempts': 1, 'guessphrase': 'test'},
'tests/data/guesslist2': {'attempts': 2, 'guessphrase': 'test'},
'tests/data/guesslist3': {'attempts': 3, 'guessphrase': 'test'}}
# kdb file : keyfile
kdbs = {'tests/data/test.kdbx': None,
'tests/data/test_keyfile.kdbx': 'tests/data/test_keyfile'}
class TestSample(unittest.TestCase):
def _test_kdb_file(self, kdb_file, key_file):
with libkeepass.open(kdb_file, password="test",
keyfile=key_file) as kdb:
self.assertEqual(kdb.opened, True)
self.assertEqual(kdb.read(32), b'<?xml version="1.0" encoding="ut')
def test_kdb_samples(self):
"""Test the test files"""
for kdb_file, key_file in kdbs.iteritems():
self._test_kdb_file(kdb_file, key_file)
class TestGuesser(unittest.TestCase):
def test_kdb_samples(self):
"""Test the test files with try_guess"""
for kdb_file, key_file in kdbs.iteritems():
keepass_guesser.try_guess(kdb_file, 'test', key_file)
def test_run(self):
"""Test the main run loop against each of the guess_files"""
for kdb_file, key_file in kdbs.iteritems():
for guess_file, expected in guess_files.iteritems():
with open(guess_file, 'r') as guess_fh:
result, attempts = keepass_guesser.run(kdb_file, key_file,
guess_fh, False)
self.assertEqual(attempts, expected['attempts'])
self.assertEqual(result, expected['guessphrase'])
if __name__ == '__main__':
unittest.main()
| 1,935 | 642 |
import numpy as np
import os
class MovielensDatasetLoader:
def __init__(self, filename='./ml-1m/ratings.dat', npy_file='./ml-1m/ratings.npy', num_movies=None, num_users=None):
self.filename = filename
self.npy_file = npy_file
self.rating_tuples = self.read_ratings()
if num_users is None:
self.num_users = np.max(self.rating_tuples.T[0])
else:
self.num_users = num_users
if num_movies is None:
self.num_movies = np.max(self.rating_tuples.T[1])
else:
self.num_movies = num_movies
self.ratings = self.load_ui_matrix()
def read_ratings(self):
ratings = open(self.filename, 'r').readlines()
data = np.array([[int(i) for i in rating[:-1].split("::")[:-1]] for rating in ratings])
return data
def generate_ui_matrix(self):
data = np.zeros((self.num_users, self.num_movies))
for rating in self.rating_tuples:
data[rating[0]-1][rating[1]-1] = rating[2]
return data
def load_ui_matrix(self):
if not os.path.exists(self.npy_file):
ratings = self.generate_ui_matrix()
np.save(self.npy_file, ratings)
return np.load(self.npy_file)
if __name__ == '__main__':
dataloader = MovielensDatasetLoader()
print(dataloader.ratings) | 1,173 | 496 |
# Copyright (c) 2021, Thomas Aglassinger
# All rights reserved. Distributed under the BSD 3-Clause License.
from sanpo.command import main_without_logging_setup
from ._common import PoFileTest
class CommandTest(PoFileTest):
def test_can_show_help(self):
with self.assertRaises(SystemExit):
main_without_logging_setup(["--help"])
def test_can_show_version(self):
with self.assertRaises(SystemExit):
main_without_logging_setup(["--version"])
def test_can_sanitize_single_file(self):
self.write_po_file(self.test_can_sanitize_single_file.__name__)
initial_po_lines = self.po_lines()
self.assertEquals(main_without_logging_setup([self.po_path]), 0)
sanitized_po_lines = self.po_lines()
self.assertNotEqual(initial_po_lines, sanitized_po_lines)
def test_can_sanitize_multiple_files(self):
po_path_to_sanitized_po_lines_map = {}
file_count = 3
for file_number in range(1, file_count + 1):
test_name = f"{self.test_can_sanitize_multiple_files.__name__}_{file_number}"
self.write_po_file(test_name)
assert self.po_path not in po_path_to_sanitized_po_lines_map
po_path_to_sanitized_po_lines_map[self.po_path] = self.po_lines()
po_paths_to_sanitize = list(po_path_to_sanitized_po_lines_map.keys())
self.assertEquals(main_without_logging_setup(po_paths_to_sanitize), 0)
for po_path, initial_po_lines in po_path_to_sanitized_po_lines_map.items():
sanitized_po_lines = self.po_lines(po_path)
self.assertNotEqual(sanitized_po_lines, initial_po_lines)
def test_fails_on_non_existent_po_file(self):
self.assertEquals(main_without_logging_setup(["no_such.po"]), 1)
| 1,785 | 620 |
import pytest
import logging
import struct
import base64
import msgpack
import nacl.signing
import algosdk
from . import txn_utils
from . import ui_interaction
from . import speculos
@pytest.fixture
def keyreg_txn():
b64votekey = "eXq34wzh2UIxCZaI1leALKyAvSz/+XOe0wqdHagM+bw="
votekey_addr = algosdk.encoding.encode_address(base64.b64decode(b64votekey))
b64selkey = "X84ReKTmp+yfgmMCbbokVqeFFFrKQeFZKEXG89SXwm4="
selkey_addr = algosdk.encoding.encode_address(base64.b64decode(b64selkey))
txn = algosdk.transaction.KeyregTxn(
sender="YTOO52XR6UWNM6OUUDOGWVTNJYBWR5NJ3VCJTZUSR42JERFJFAG3NFD47U",
votekey=votekey_addr,
selkey=selkey_addr,
votefst= 6200000,
votelst=9500000,
votekd= 1730,
fee= 2000,
flat_fee=True,
first=6002000,
last=6003000,
gen="testnet-v1.0",
gh="SGO1GKSzyE7IEPItTxCByw9x8FmnrCDexi9/cOUJOiI="
)
return txn
def get_expected_messages(current_txn):
votepk = str(base64.b64encode(algosdk.encoding.decode_address(current_txn.votepk)),'ascii').lower()
vrfpk = str(base64.b64encode(algosdk.encoding.decode_address(current_txn.selkey)),'ascii').lower()
# if current_txn.? == True:
# participating_flag = 'yes'
# else:
# participating_flag = 'no'
messages = [['review', 'transaction'],
['txn type', 'key reg'],
['sender', current_txn.sender.lower()],
['fee (alg)', str(current_txn.fee*0.000001)],
['genesis id', current_txn.genesis_id.lower()],
['genesis hash', current_txn.genesis_hash.lower()],
['vote pk', votepk],
['vrf pk', vrfpk],
['vote first', str(current_txn.votefst)],
['vote last', str(current_txn.votelst)],
['key dilution', str(current_txn.votekd)],
['participating', 'yes'],
['sign', 'transaction']]
return messages
txn_labels = {
'review', 'txn type', 'sender', 'fee (alg)', 'genesis id', 'genesis hash', 'vote pk','vrf pk',
'vote first', 'vote last', 'key dilution', 'participating', 'sign'
}
conf_label = "sign"
def test_sign_msgpack_asset_validate_display(dongle, keyreg_txn):
"""
"""
decoded_txn= base64.b64decode(algosdk.encoding.msgpack_encode(keyreg_txn))
with dongle.screen_event_handler(ui_interaction.confirm_on_lablel, txn_labels, conf_label):
logging.info(decoded_txn)
_ = txn_utils.sign_algo_txn(dongle, decoded_txn)
messages = dongle.get_messages()
logging.info(messages)
logging.info(get_expected_messages(keyreg_txn))
assert get_expected_messages(keyreg_txn) == messages
def test_sign_msgpack_with_default_account(dongle, keyreg_txn):
"""
"""
apdu = struct.pack('>BBBBB', 0x80, 0x3, 0x0, 0x0, 0x0)
pubKey = dongle.exchange(apdu)
decoded_txn= base64.b64decode(algosdk.encoding.msgpack_encode(keyreg_txn))
with dongle.screen_event_handler(ui_interaction.confirm_on_lablel, txn_labels, conf_label):
logging.info(decoded_txn)
txnSig = txn_utils.sign_algo_txn(dongle, decoded_txn)
assert len(txnSig) == 64
verify_key = nacl.signing.VerifyKey(pubKey)
verify_key.verify(smessage=b'TX' + decoded_txn, signature=txnSig)
| 3,371 | 1,366 |
from sklearn.feature_extraction.text import TfidfVectorizer
from database_utils import get_all_data, remove_summary
from collections import OrderedDict
import operator
def rank_pages(summaries, query):
vect = TfidfVectorizer()
result = {}
for video in summaries:
tfidf = vect.fit_transform([video['summary'], query])
score = (tfidf * tfidf.T).A[1][0]
#if(score > 0.1):
result[video['name']] = score
return OrderedDict(sorted(result.items(), key=operator.itemgetter(1), reverse=True))
def main():
remove_summary('test')
if __name__ == 'main':
main() | 613 | 204 |
from netapp.netapp_object import NetAppObject
class IfgrpInfo(NetAppObject):
"""
ifgrp name, type, and components.
"""
_interface_name = None
@property
def interface_name(self):
"""
The interface name.
"""
return self._interface_name
@interface_name.setter
def interface_name(self, val):
if val != None:
self.validate('interface_name', val)
self._interface_name = val
_links = None
@property
def links(self):
"""
array of interface names in interface group.
An ifgrp with no members is possible.
"""
return self._links
@links.setter
def links(self, val):
if val != None:
self.validate('links', val)
self._links = val
_favored = None
@property
def favored(self):
"""
interface that is favored.
Only applies if ifgrp-type = single.
"""
return self._favored
@favored.setter
def favored(self, val):
if val != None:
self.validate('favored', val)
self._favored = val
_ifgrp_type = None
@property
def ifgrp_type(self):
"""
Possible values: [single|multi|lacp].
"""
return self._ifgrp_type
@ifgrp_type.setter
def ifgrp_type(self, val):
if val != None:
self.validate('ifgrp_type', val)
self._ifgrp_type = val
_ifgrp_policy = None
@property
def ifgrp_policy(self):
"""
Possible values: [rr|mac|ip|port|single]. Default is ip.
"""
return self._ifgrp_policy
@ifgrp_policy.setter
def ifgrp_policy(self, val):
if val != None:
self.validate('ifgrp_policy', val)
self._ifgrp_policy = val
_nofavored = None
@property
def nofavored(self):
"""
interface that is not favored.
Only applies if ifgrp-type = single.
"""
return self._nofavored
@nofavored.setter
def nofavored(self, val):
if val != None:
self.validate('nofavored', val)
self._nofavored = val
@staticmethod
def get_api_name():
return "ifgrp-info"
@staticmethod
def get_desired_attrs():
return [
'interface-name',
'links',
'favored',
'ifgrp-type',
'ifgrp-policy',
'nofavored',
]
def describe_properties(self):
return {
'interface_name': { 'class': basestring, 'is_list': False, 'required': 'required' },
'links': { 'class': basestring, 'is_list': True, 'required': 'optional' },
'favored': { 'class': basestring, 'is_list': False, 'required': 'optional' },
'ifgrp_type': { 'class': basestring, 'is_list': False, 'required': 'required' },
'ifgrp_policy': { 'class': basestring, 'is_list': False, 'required': 'optional' },
'nofavored': { 'class': basestring, 'is_list': False, 'required': 'optional' },
}
| 3,112 | 962 |
from .abstractExpression import AbstractExpression
from typing import TypeVar
T = TypeVar('T')
class IdExpression(AbstractExpression):
def __init__(self, id_: T):
self.id = id_
def __repr__(self) -> str:
return str(self.id)
def __eq__(self, other) -> bool:
if self is other:
return True
if type(other) == IdExpression:
return self.id == other.id
return False
def __hash__(self):
return hash(self.id)
def get_id(self) -> T:
return self.id
| 545 | 164 |
import os
import sys
from typing import Tuple
import pkg_resources
from Bio import SeqIO
import RNA
import numpy as np
complement_table = str.maketrans('ATGCU', 'TACGA')
def stream_fasta_seq_list(fasta_filename):
with open(fasta_filename, "rU") as handle:
for record in SeqIO.parse(handle, "fasta"):
yield str(record.seq)
def get_fasta_seq_list(fasta_filename):
return list(stream_fasta_seq_list(fasta_filename))
def stream_txt_seq_list(text_filename):
with open(text_filename) as infile:
for line in infile:
yield line.strip()
def get_txt_seq_list(text_filename):
return list(stream_txt_seq_list(text_filename))
def uniquify_background_list(background_list):
uniq_background_set = set()
while background_list:
uniq_background_set.add(background_list.pop())
background_list = []
while uniq_background_set:
background_list.append(uniq_background_set.pop())
return background_list
def stream_kmers(seq, k):
if k >= len(seq):
return [seq]
return (seq[i:i+k] for i in range(len(seq)-k+1))
def get_comp(seq):
return seq.translate(complement_table)
def get_revcomp(seq):
return get_comp(seq)[::-1]
def stream_min_kmers(seq, k):
for kmer in stream_kmers(seq, k):
yield min(kmer, get_revcomp(kmer))
class Fold(object):
def __init__(
self,
temp=37.0,
dangles=2,
part_type='RNA'):
if not part_type in ['RNA', 'DNA']:
part_type = 'RNA'
if part_type == 'DNA':
RNA.cvar.noGU = True
RNA.cvar.noGUclosure = True
self.parameter_directory = os.path.dirname(
os.path.abspath(__file__))#"/usr/local/share/ViennaRNA/"
# Temperature in Celsius;
# default=37.0 (float)
RNA.cvar.temperature = temp
# Dangling end energies (0,1,2);
# see RNAlib documentation;
# default=2 (int)
RNA.cvar.dangles = dangles
self.settings = RNA.md()
self.part_type = part_type
parameter_file = pkg_resources.resource_filename(
'nrpcalc', 'base/{}.par'.format(
self.part_type))
RNA.read_parameter_file(parameter_file)
if part_type == 'DNA':
self.clear_warning()
self.adjust = self.adjust_dG(temp)
def adjust_dG(self, temp):
# Adjustment according to Dirks et al.
kB = 0.00198717 # Boltzmann constant in kcal/mol/K
T = temp
a = [-3.983035, 301.797, 522528.9, 69.34881, 999.974950]
# Calculate the number of moles of water per liter (molarity) at temperature (T in deg C)
# Density of water calculated using data from
# Tanaka M., Girard, G., Davis, R., Peuto A., Bignell, N.
# Recommended table for the density of water..., Metrologia, 2001, 38, 301-309
pH2O = a[4] * (
1 - (T+a[0])**2 * (T+a[1]) / \
(a[2]) / \
(T+a[3])) / \
18.0152
return -kB * (T + 273.15) * np.log(pH2O)
def clear_warning(self):
clrlen = len('WARNING: stacking enthalpies not symmetric')
sys.stdout.write('\033[F\033[F\033[F\033[F')
sys.stdout.write(' '*clrlen+'\n')
sys.stdout.write(' '*clrlen+'\n')
sys.stdout.write(' '*clrlen+'\n')
sys.stdout.write(' '*clrlen+'\n')
sys.stdout.write('\033[F\033[F\033[F\033[F')
sys.stdout.flush()
def evaluate_mfe(self, seq, dg=False):
# MFE Structure Only
fc_obj = RNA.fold_compound(seq, self.settings)
struct,energy = fc_obj.mfe()
if not dg:
return struct
else:
return struct, energy
def evaluate_centroid(self, seq, dg=False):
# Centroid Structure Only
fc_obj = RNA.fold_compound(seq, self.settings)
fc_obj.pf()
struct,energy = fc_obj.centroid()
if not dg:
return struct
else:
return struct, energy
def design(self, seq, struct):
# Closest MFE Structure Sequence
inv = RNA.inverse_fold(seq, struct)[0]
if self.part_type == 'DNA':
inv = inv.replace('U', 'T').replace('u', 't')
return inv
def evaluate_mfe_dimer(self, seq1, seq2):
# MFE Dimer Structure and Energy
fc_obj = RNA.fold_compound(seq1+'&'+seq2, self.settings)
struct,energy = fc_obj.mfe_dimer()
struct1 = struct[:len(seq1)]
struct2 = struct[len(seq1):]
energy += self.adjust
return (struct1, struct2, energy)
if __name__ == '__main__':
pass | 4,679 | 1,684 |
#!/usr/bin/env python3
#
# Analyses a hierarchical tab-indented list file
# and prints out subsection sizes on a requested nesting level
# Subsections with the same name in different subtrees
# are treated as continutaions of a single section
# The script accepts two command line parameters:
# file name
# indentation level
#
import sys
def get_headings(filename, indentation_level):
diff = 0
heading = ''
headings = {}
try:
with open(filename, 'r') as fh:
for line in fh:
line = line.rstrip()
if len(line) == 0:
continue
# Include commented out lines
if line[0] == '#':
line = line[1:].rstrip()
if len(line) == 0:
continue
if line == "==========EndOfList==========":
break
count = 0
for c in line:
if c == '\t':
count += 1
else:
break
line = line.lstrip()
if count <= indentation_level:
if len(heading) > 0:
headings[heading] = headings.get(heading, 0) + diff - 1
diff = 0
if count == indentation_level:
heading = line[:]
diff += 1
except EnvironmentError as err:
print(err)
if len(heading) > 0:
headings[heading] = headings.get(heading, 0) + diff - 1
return headings
def main():
if len(sys.argv) < 2:
print("usage: {0} <filename> <nesting level>".format(sys.argv[0]))
sys.exit(1)
if len(sys.argv) < 3:
level = 0
else:
level = int(sys.argv[2])
if level < 0:
level = 0
try:
headings = get_headings(sys.argv[1], level)
except FileNotFoundError:
print("Error: unable to process file {0}".format(sys.argv[1]))
sys.exit(1)
for heading in sorted(headings, key=headings.get, reverse=True):
if headings[heading] > 0:
print('{0}{1}'.format(heading.ljust(50, ' '), headings[heading]))
if __name__ == '__main__':
main()
| 2,288 | 682 |
#based on the code from https://github.com/studywolf/blog/blob/master/VREP/two_link_arm/vrep_twolink_controller.py
#explained at https://studywolf.wordpress.com/2016/04/18/using-vrep-for-simulation-of-force-controlled-models/
import numpy as np
from VrepWorld import VrepWorld
#create the world object
world = VrepWorld()
#connect to vrep server
world.init()#scene="scenes\\ePuck_wall.ttt") #remote scene import not working at the moment
#create robot object linked to ePuck
robot = world.getRobot('ePuck')
#create obstacles
obstacle1 = world.setObstacle(0.3, 0.2)
obstacle2 = world.setObstacle(0.1, 0.25)
#table for storing positions of the robot
positions = []
try:
#start simulation
world.startRun(5)
robot.setWheelsVelocity(1, 1)
while not world.runFinished:
#robot.getProximitySensors()
#robotVelocity = robot.getVelocity()
robotPosition = robot.getPosition()
positions.append(np.copy(robotPosition)) # store for plotting
#update simulation
world.run()
#clean simulation
world.endRun()
finally:
#close connection even if we got an exception
world.close()
#plot robot positions
import matplotlib.pyplot as plt
positions = np.array(positions)
plt.plot(positions[:, 0], positions[:, 1], 'rx', label="Position de l'ePuck")
plt.axis([0, 1, 0,1])
plt.show() | 1,357 | 487 |
from ROAR.control_module.controller import Controller
from ROAR.utilities_module.vehicle_models import VehicleControl, Vehicle
from ROAR.utilities_module.data_structures_models import Transform, Location
import numpy as np
import logging
from ROAR.agent_module.agent import Agent
from typing import Tuple
import json
from pathlib import Path
import cvxpy as cp
import scipy
import scipy.signal
import scipy.linalg
class MPCController(Controller):
def __init__(self, agent, steering_boundary: Tuple[float, float],
throttle_boundary: Tuple[float, float], **kwargs):
super().__init__(agent, **kwargs)
self.max_speed = self.agent.agent_settings.max_speed
self.throttle_boundary = throttle_boundary
self.steering_boundary = steering_boundary
self.config = json.load(
Path(agent.agent_settings.mpc_config_file_path).open(mode='r'))
self.controller = FullMPCController(agent=agent,
throttle_boundary=throttle_boundary,
steering_boundary=steering_boundary,
max_speed=self.max_speed,
config=self.config)
self.logger = logging.getLogger(__name__)
def run_in_series(self, next_waypoint: Transform, **kwargs) -> VehicleControl:
long_control, lat_control = self.controller.run_in_series(next_waypoint=next_waypoint,
target_speed=kwargs.get("target_speed", self.max_speed))
long_control = float(np.clip(long_control, *self.throttle_boundary))
lat_control = float(np.clip(lat_control, *self.steering_boundary))
return VehicleControl(throttle=long_control, steering=lat_control)
class FullMPCController(Controller):
def __init__(self, agent, config: dict,
throttle_boundary: Tuple[float, float],
steering_boundary: Tuple[float, float],
max_speed: float,
dt: float = 0.03, **kwargs):
super().__init__(agent, **kwargs)
self.config = config
self.max_speed = max_speed
self.throttle_boundary = throttle_boundary
self.steering_boundary = steering_boundary
self._dt = dt
self.A_matrices, self.B_matrices = self.construct_linearized_matrices(max_speed)
self.last_steer_CMD = 0
def get_throttle_CMD(self, Fr_x, vx):
"""Calculates the motor input command
Calculates the motor input command based on the optimal rear tire longitudinal force
given by solving the CVXPY problem. The optimal rear tire longitudinal force is then
used with the longitudinal dynamics model to solve for the actual motor input command.
Args:
Fr_x: Optimal rear tire longitudinal force
vx: Current longitudinal velocity
Returns:
Motor input command
"""
return (Fr_x + self.config['F_friction'] + self.config['C_d'] * vx**2) / self.config['b_motor']
def get_steer_CMD(self, Ff_y, beta, r, vx):
"""Calculates the steering input command
Calculates the steering input command based on the optimal front tire lateral force
given by solving the CVXPY problem. The optimal front tire lateral force is then
used with the lateral dynamics model to solve for the actual steering input command.
Args:
Ff_y: Optimal front tire lateral force
beta: Current side slip angle of vehicle
r: Current angular velocity
vx: Current longitudinal velocity
Returns:
steer_cmd
"""
# Makes sure the argument to the arcsin function on the following line is valid
arcsin_arg = np.clip(Ff_y / (-self.config['mu'] * self.config['Ff_z']), -1, 1)
alpha_f = np.tan(np.arcsin(arcsin_arg) / self.config['C']) / self.config['B']
steer_angle = np.arctan(beta + ((r * self.config['Lf']) / (vx + 10e-1))) - alpha_f
steer_cmd = steer_angle / self.config['max_angle']
self.last_steer_CMD = np.abs(steer_cmd)
return steer_cmd
def linearize_around_steer_angle(self, steer_angle_eq, speed_eq):
"""Calculates linearized state space equations
Linearizes and discretizes the state space equations of the vehicle dynamics model
around a given equilibrium steering angle and equilibrium speed.
Args:
steer_angle_eq: Equilibrium steering angle to linearize around
speed_eq: Equilibrium vehicle speed to linearize around
Returns:
Ad: The linearized and discretized A matrix in the state space model
Bd: The linearized and discretized B matrix in the state space model
"""
# Linearize system state equations around a steering angle and 100km/hr
beta_eq = np.arctan((self.config['Lr'] / self.config['wheelbase']) * np.tan(steer_angle_eq))
vx_eq = speed_eq * np.cos(beta_eq)
r_eq = (speed_eq / self.config['Lr']) * np.sin(beta_eq)
alpha_f = np.arctan(beta_eq + (r_eq * self.config['Lf']) / vx_eq) - steer_angle_eq
Ff_y_eq = -self.config['mu'] * self.config['Ff_z'] * np.sin(self.config['C'] * np.arctan(self.config['B'] * alpha_f))
Fr_y_eq = (self.config['Lf'] * Ff_y_eq * np.cos(steer_angle_eq)) / self.config['Lr']
# Find partial derivative entries for A and B matrices
a_13 = -(Fr_y_eq + Ff_y_eq * np.cos(steer_angle_eq)) / (self.config['mass'] * vx_eq)
a_31 = -vx_eq * r_eq
# Below is a more complex a_13 term that comes from Gonzales dissertation, found to not be needed but may be useful for improving performance
# a_31 = vx_eq * r_eq \
# + ((Ff_y_eq * np.cos(steer_angle_eq)) / mass) \
# * (1 /(1 + (beta_eq + ((r_eq * Lf) / vx_eq))**2))
Ac = np.array([
[0, -1, a_13],
[0, 0, 0,],
[a_31, 0, 0]])
b_11 = np.cos(steer_angle_eq) / (self.config['mass'] * vx_eq)
b_21 = np.cos(steer_angle_eq) * self.config['Lf'] / self.config['Izz']
b_31 = -np.sin(steer_angle_eq) / self.config['mass']
Bc = np.array([
[b_11, 0],
[b_21, 0],
[b_31, 1/self.config['mass']]])
# C and D are just for calling cont2discrete
Cc = np.zeros((3, 3))
Dc = np.zeros((3, 2))
system = (Ac, Bc, Cc, Dc)
Ad, Bd, Cd, Dd, dt = scipy.signal.cont2discrete(system, self._dt)
return Ad, Bd
def construct_linearized_matrices(self, speed_eq):
"""Constructs dicts to hold A and B matrices
Runs through the array of equilibrium steering angles and calculates
the linearized A and B matrices for each angle. Those matrices then get
put into dicts that can be called while CARLA is running. The vehicle dynamics
change at different steering angles so the optimizer needs to change which
matrices it is working with or else it cannot solve for optimal vehicle inputs
Args:
speed_eq: Equilibrium vehicle speed to linearize around
Returns:
A_matrices: Dict holding the linearized and discretized A matrices
B_matrices: Dict holding the linearized and discretized B matrices
"""
A_matrices = {}
B_matrices = {}
for angle in self.config['equilibrium_angles']:
A, B = self.linearize_around_steer_angle(angle, speed_eq)
A_matrices.update({angle: A})
B_matrices.update({angle: B})
return A_matrices, B_matrices
def get_linearized_matrices(self, steer_angle):
"""Returns the correct A and B matrices for a given angle
Args:
steer_angle: Current steering angle of the car (should be absolute value)
Returns:
A and B matrices for the given steering angle
"""
for i, angle_entry in enumerate(self.config['equilibrium_angles']):
if i > 0 and steer_angle < angle_entry:
angle_eq = self.config['equilibrium_angles'][i-1]
return self.A_matrices.get(angle_eq), self.B_matrices.get(angle_eq)
elif i == len(self.config['equilibrium_angles']) - 1:
angle_eq = self.config['equilibrium_angles'][-1]
return self.A_matrices.get(angle_eq), self.B_matrices.get(angle_eq)
def solve_cftoc(self, target_state, current_state, state_bounds, input_bounds):
"""Solves for optimal vehicle inputs
Takes in the current vehicle state and the target state that the car should be at,
and then solves for the optimal input sequence to reach the target state. Vehicle
states are beta, yaw and longitudinal speed for a total of 3 state variables.
Vehicle inputs are front tire lateral force and rear tire longitudinal force, for a
total of 2 input variables.
Args:
target_state: The state that the vehicle should be at
current_state: The current vehicle state
state_bounds: Bounds that the state variables should not exceed or be under
input_bounds: Bounds that the inputs should not exceed or be under
Returns:
The optimal steering and throttle commands for the current time step
"""
# Number of future time steps to optimize over
M = 10
# Number of state variables, which are beta, yaw and longitudinal speed
nx = 3
# Number of input variables, which are front tire lateral force and rear tire longitudinal force
nu = 2
# Initialize the array of variables for each time step
x = cp.Variable((nx, M + 1))
u = cp.Variable((nu, M))
# Initialize cost and constraints
cost = 0
constr = []
# Set Initial State
constr += [x[:, 0] == current_state]
# Get correct linearized dynamics matrices based on the last steering angle
A, B = self.get_linearized_matrices(self.last_steer_CMD * self.config['max_angle'])
for m in range(M):
# Cost function: basically a sum of squares between the current beta, yaw and speed values and the target values
# The different coefficients come from the magnitude of the state values (i.e. beta is on the range of 0-2 while
# longitudinal speed can range from 0-100), and the importance of the state variables as well.
cost += 10**3 * cp.sum_squares(x[0, m] - target_state[0])
cost += cp.sum_squares(x[2, m] - target_state[2])
# The cost function value relating to the yaw is removed when the car needs to make a large turn
if np.abs(target_state[0]) < np.pi / 20:
cost += 10**1 * cp.sum_squares(x[1, m] - target_state[1])
# Constraint for dynamic model
constr += [x[:, m + 1] == A @ x[:, m] + B @ u[:, m]]
# Constraints for setting bounds on the input values
constr += [input_bounds[:, 0] <= u[:, m]]
constr += [input_bounds[:, 1] >= u[:, m]]
u_delta_limits = np.array(self.config['delta_lim'])
if m < M - 1:
# Constraint limiting how much inputs can change between time steps - ensures "smoother" input profiles
constr += [u[:, m + 1] - u[:, m] <= u_delta_limits, u[:, m + 1] - u[:, m] >= -u_delta_limits]
# Set terminal cost values
cost += 10**3 * cp.sum_squares(x[0, M] - target_state[0])
cost += cp.sum_squares(x[2, M] - target_state[2])
# Again, the terminal cost function value relating to the yaw is removed when the car needs to make a large turn
if np.abs(target_state[0]) < np.pi / 20:
cost += 10**1 * cp.sum_squares(x[1, M] - target_state[1])
problem = cp.Problem(cp.Minimize(cost), constr)
try:
problem.solve(warm_start=True)
uOpt = u.value
# In case optimizer doesnt return any values for u
if uOpt is None or uOpt.size == 0:
if np.isnan(uOpt[0][0]):
if target_state[0] < 0:
Ff_y_cmd = 1000
else:
Ff_y_cmd = -1000
if np.isnan(uOpt[0][1]):
Fr_x_cmd = 5000
else:
Ff_y_cmd = u.value[0, 0]
Fr_x_cmd = u.value[1, 0]
except:
# Sometimes the solver cant find a solution at all for a time step, but input values still need to be returned
Ff_y_cmd = 0.0
Fr_x_cmd = 5000
return self.get_throttle_CMD(Fr_x_cmd, current_state[2]), self.get_steer_CMD(Ff_y_cmd, *current_state)
def run_in_series(self, next_waypoint: Transform, **kwargs) -> float:
# Calculate current steering angle, beta and vehicle speed. All angles are in radians
current_steer = self.last_steer_CMD * self.config['max_angle']
current_beta = np.arctan((self.config['Lr'] / self.config['wheelbase']) * np.tan(current_steer))
current_speed = Vehicle.get_speed(self.agent.vehicle)
# Longitudinal speed will be different from the vehicles current speed if beta != 0
current_vx = current_speed * np.cos(current_beta)
# Calculate a vector that represent where you are going
v_begin = self.agent.vehicle.transform.location.to_array()
current_yaw = np.deg2rad(self.agent.vehicle.transform.rotation.yaw)
direction_vector = np.array([-np.sin(current_yaw),
0,
-np.cos(current_yaw)])
v_end = v_begin + direction_vector
v_vec = np.array([(v_end[0] - v_begin[0]), 0, (v_end[2] - v_begin[2])])
# Calculate error projection
w_vec = np.array(
[
next_waypoint.location.x - v_begin[0],
0,
next_waypoint.location.z - v_begin[2],
]
)
v_vec_normed = v_vec / np.linalg.norm(v_vec)
w_vec_normed = w_vec / np.linalg.norm(w_vec)
error = np.arccos(np.dot(v_vec_normed, w_vec_normed))
_cross = np.cross(v_vec_normed, w_vec_normed)
if _cross[1] > 0:
error *= -1
# Set the target speed, target beta angle and target longitudinal velocity
target_speed = self.max_speed
target_beta = -error
target_vx = target_speed * np.cos(current_beta)
# The actual yaw is not needed or important for the optimization problem, as it just needs a "relative" yaw to solve with.
# However, the first yaw angle does need to be 0, as the linearized matrices were calculated with yaw = 0.
# The starting yaw is different for each map: for berkely minor map it is -1.570796 rad (90 degrees),
# for easy map it is 0 rad.
current_yaw = current_yaw - self.config['starting_yaw']
# Make sure the yaw angle is in [-pi/2, pi/2] or else the optimizer cannot solve for correct steering angle
current_yaw = np.mod(current_yaw + np.pi / 4, np.pi/2) - np.pi / 4
# Current optimization setup does not need state bounds, so that's why all state_bounds arrays are 0
motor_cmd, steer_cmd = self.solve_cftoc(
target_state=np.array([target_beta, current_yaw, target_vx]),
current_state=np.array([current_beta, current_yaw, current_vx]),
state_bounds=np.array([[0, 0], [0, 0], [0, 0]]),
input_bounds=np.array([[-6000, 6000], [-1000, 10000]]))
return motor_cmd, steer_cmd
| 15,902 | 4,908 |
from django.test import TestCase
from eahub.base.models import User
from eahub.localgroups.models import LocalGroup, Organisership
from eahub.profiles.models import Profile
class LocalGroupTestCase(TestCase):
def test_organisers_names(self):
local_group = LocalGroup()
local_group.save()
user1 = User()
user1.email = "user1@email.com"
user1.save()
user2 = User()
user2.email = "user2@email.com"
user2.save()
profile1 = Profile()
name1 = "Peter"
profile1.name = name1
profile1.user = user1
profile1.save()
profile2 = Profile()
name2 = "Mary"
profile2.name = name2
profile2.user = user2
profile2.save()
o1 = Organisership(user=user1, local_group=local_group)
o1.save()
o2 = Organisership(user=user2, local_group=local_group)
o2.save()
organiser_names = local_group.organisers_names()
self.assertEqual(f"{name1}, {name2}", organiser_names)
def test_organisers_names_handles_users_without_profiles(self):
local_group = LocalGroup()
local_group.save()
user_without_profile = User()
user_without_profile.save()
o = Organisership(user=user_without_profile, local_group=local_group)
o.save()
organisers_names = local_group.organisers_names()
self.assertEqual("User profile missing", organisers_names)
def test_get_exportable_field_names(self):
actual = LocalGroup.get_exportable_field_names()
expected_field_names = [
"id",
"slug",
"is_public",
"name",
"is_active",
"organisers_freetext",
"local_group_types",
"city_or_town",
"region",
"country",
"lat",
"lon",
"website",
"other_website",
"facebook_group",
"facebook_page",
"email",
"meetup_url",
"airtable_record",
"last_edited",
"other_info",
"organisers",
"organisers_emails",
]
self.assertListEqual(expected_field_names, actual)
| 2,268 | 683 |
import boto3
import sys
import getopt
import datetime
import pytz
# Globals
BucketName = ''
FolderName = ''
HowManyDays = None
ProfileName = 'default'
Env = 'us-east-1'
Delete = False
# Parse CL opts
opts, args = getopt.getopt(sys.argv[1:],'he:b:p:f:k:d')
for opt, arg in opts:
if opt == '-h':
print '-b bucketname'
print '-f foldername'
print '-k days to keep'
print '-p profile name'
print '-e region'
sys.exit(0)
if opt == '-e':
Env = str(arg)
if opt == '-p':
ProfileName = str(arg)
if opt == '-b':
BucketName = str(arg)
if opt == '-f':
FolderName = str(arg)
if opt == '-k':
HowManyDays = str(arg)
if opt == '-d':
Delete = True
if HowManyDays is None or BucketName is None or ProfileName is None or Env is None:
print 'Missing or invalid options'
print '-b bucketname'
print '-f foldername'
print '-d days to keep'
print '-p profile name'
print '-e region'
sys.exit(1)
# Get all the objects
allS3Keys = {}
s3Client = boto3.client('s3',
profile_name=ProfileName,
region_name=Env)
nextToken = 1
while nextToken is not None:
allObjects = None
if nextToken == 1:
allObjects = s3Client.list_objects_v2(Bucket=BucketName,Prefix=FolderName)
else:
allObjects = s3Client.list_objects_v2(Bucket=BucketName,Prefix=FolderName,ContinuationToken=nextToken)
if allObjects.get('IsTruncated') == True:
nextToken = allObjects.get('NextContinuationToken')
else:
nextToken = None
for i in allObjects['Contents']:
allS3Keys[str(i['Key'])] = i['LastModified']
# Discover objects to delete
olderThanDate = datetime.datetime.now(tz=pytz.utc) - datetime.timedelta(int(HowManyDays))
print 'Finding all objects in ' + BucketName + '/' + FolderName + ' older than ' + str(HowManyDays) + ' days (' + str(olderThanDate) + ')'
for key in allS3Keys:
if allS3Keys[key] < olderThanDate:
print key + ' => ' + str(allS3Keys[key]) + ' (marked for delete)'
if Delete:
s3Client.delete_object(Bucket=BucketName,Key=key)
else:
print key + ' => ' + str(allS3Keys[key])
| 2,204 | 761 |
from cloudmosh.components.base import CloudMoshComponent
import os
import numpy as np
# Keras / TensorFlow
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '5'
from keras.models import load_model
import skimage.io
from skimage.transform import resize
from keras.engine.topology import Layer, InputSpec
import keras.utils.conv_utils as conv_utils
import tensorflow as tf
import keras.backend as K
from nutsflow.base import Nut,NutSink, NutSource, NutFunction
class AWBilinearUpSampling2D(Layer):
"""
This is a custom-defined layer needed by the Alhashim-Wonka network.
"""
def __init__(self, size=(2, 2), data_format=None, **kwargs):
super(AWBilinearUpSampling2D, self).__init__(**kwargs)
self.data_format = K.normalize_data_format(data_format)
self.size = conv_utils.normalize_tuple(size, 2, 'size')
self.input_spec = InputSpec(ndim=4)
def compute_output_shape(self, input_shape):
if self.data_format == 'channels_first':
height = self.size[0] * input_shape[2] if input_shape[2] is not None else None
width = self.size[1] * input_shape[3] if input_shape[3] is not None else None
return (input_shape[0],
input_shape[1],
height,
width)
elif self.data_format == 'channels_last':
height = self.size[0] * input_shape[1] if input_shape[1] is not None else None
width = self.size[1] * input_shape[2] if input_shape[2] is not None else None
return (input_shape[0],
height,
width,
input_shape[3])
def call(self, inputs):
input_shape = K.shape(inputs)
if self.data_format == 'channels_first':
height = self.size[0] * input_shape[2] if input_shape[2] is not None else None
width = self.size[1] * input_shape[3] if input_shape[3] is not None else None
elif self.data_format == 'channels_last':
height = self.size[0] * input_shape[1] if input_shape[1] is not None else None
width = self.size[1] * input_shape[2] if input_shape[2] is not None else None
return tf.image.resize_images(inputs, [height, width], method=tf.image.ResizeMethod.BILINEAR, align_corners=True)
def get_config(self):
config = {'size': self.size, 'data_format': self.data_format}
base_config = super(AWBilinearUpSampling2D, self).get_config()
return dict(list(base_config.items()) + list(config.items()))
class AWDepthEstimator(Nut):
"""
Contains the code for the depth detection step, adapted
from https://github.com/ialhashim/DenseDepth, the repository
for the 2018 pre-print by Alhashim and Wonka entitled
'High Quality Monocular Depth Estimation via Transfer Learning'.
"""
#The network used by the Depth Detector expects images to be of size 640x480
EXPECTED_IMAGE_WIDTH = 640
EXPECTED_IMAGE_HEIGHT = 480
def __init__(self,modelPath,minDepth=10,maxDepth=1000,batchSize=2):
"""
modelPath: The path to the model file that contains the trained network (e.g. 'data/nyu.h5').
minDepth (optional): The minimum depth that the network is allowed to assign a pixel. Default 10.
maxDepth (optional): The maximum depth that the network is allowed to assign a pixel. Default 1000.
batchSize (optional): How many images the network should process at once. Default 2.
"""
super().__init__()
self._depthModelPath = modelPath
self._minDepth = minDepth
self._maxDepth = maxDepth
self._batchSize = batchSize
#Custom object needed for inference and training
custom_objects = {'BilinearUpSampling2D': AWBilinearUpSampling2D, 'depth_loss_function': None}
self._model = load_model(self._depthModelPath, custom_objects=custom_objects, compile=False)
def setMinDepth(self,minDepth):
self._minDepth = minDepth
def setMaxDepth(self,maxDepth):
self._maxDepth = maxDepth
def setBatchSize(self,batchSize):
self._batchSize = batchSize
def __resize(self,images,width,height):
"""
width: The desired width of the resulting image(s).
height: The desired height of the resulting image(s).
"""
shape = (images.shape[0],width,height,images.shape[3])
return resize(images, shape, preserve_range=True, mode='reflect')
def __depthNorm(self,x):
return self._maxDepth / x
def __rrshift__(self,iterable):
for data in iterable:
if len(data.shape) == 3:
#(width,height,color)
originalWidth = data.shape[0]
originalHeight = data.shape[1]
else:
#(index,width,height,color)
originalWidth = data.shape[1]
originalHeight = data.shape[2]
data = np.clip(data / 255, 0, 1)
# Support multiple RGBs, one RGB image, even grayscale
if len(data.shape) < 3:
#If the image(s) are grayscale, we convert them to an RGB equivalent (v -> <v,v,v>).
data = np.stack((data,data,data), axis=2)
if len(data.shape) < 4:
data = data.reshape((1, data.shape[0], data.shape[1], data.shape[2]))
if data.shape[-1] == 4:
#Drop the alpha component from RGBA. The network only cares about RGB.
#e.g. (1,640,480,4) -> (1,640,480,3)
data = data[:,:,:,:3]
#The network used by the Depth Detector expects images to be of size 640x480
data = self.__resize(data,width=AWDepthEstimator.EXPECTED_IMAGE_WIDTH,height=AWDepthEstimator.EXPECTED_IMAGE_HEIGHT)
# Compute predictions
predictions = self._model.predict(data, batch_size=self._batchSize)
# Put in expected range
predictions = np.clip(self.__depthNorm(predictions), self._minDepth, self._maxDepth)
#Resize to original width and height.
predictions = self.__resize(predictions,width=originalWidth,height=originalHeight)
yield predictions
| 5,769 | 2,063 |
# ==============================================================================
# Copyright 2018 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
import tensorflow as tf
import argparse
import numpy as np
import ngraph_bridge
from google.protobuf import text_format
import json
import os
import sys
def createFolder(directory):
try:
if not os.path.exists(directory):
os.makedirs(directory)
except OSError:
print('Error: Creating directory. ' + directory)
def set_os_env(select_device):
if select_device == 'CPU':
# run on TF only
ngraph_bridge.disable()
else:
if not ngraph_bridge.is_enabled():
ngraph_bridge.enable()
assert select_device[:
7] == "NGRAPH_", "Expecting device name to start with NGRAPH_"
back_end = select_device.split("NGRAPH_")
os.environ['NGRAPH_TF_BACKEND'] = back_end[1]
def calculate_output(param_dict, select_device, input_example):
"""Calculate the output of the imported graph given the input.
Load the graph def from graph file on selected device, then get the tensors based on the input and output name from the graph,
then feed the input_example to the graph and retrieves the output vector.
Args:
param_dict: The dictionary contains all the user-input data in the json file.
select_device: "NGRAPH" or "CPU".
input_example: A map with key is the name of the input tensor, and value is the random generated example
Returns:
The output vector obtained from running the input_example through the graph.
"""
graph_filename = param_dict["graph_location"]
output_tensor_name = param_dict["output_tensor_name"]
if not tf.gfile.Exists(graph_filename):
raise Exception("Input graph file '" + graph_filename +
"' does not exist!")
graph_def = tf.GraphDef()
if graph_filename.endswith("pbtxt"):
with open(graph_filename, "r") as f:
text_format.Merge(f.read(), graph_def)
else:
with open(graph_filename, "rb") as f:
graph_def.ParseFromString(f.read())
set_os_env(select_device)
with tf.Graph().as_default() as graph:
tf.import_graph_def(graph_def)
if len(output_tensor_name) == 0:
# if no outputs are specified, then compare for all tensors
output_tensor_name = sum(
[[j.name for j in i.outputs] for i in graph.get_operations()],
[])
# Create the tensor to its corresponding example map
tensor_to_example_map = {}
for item in input_example:
t = graph.get_tensor_by_name(item)
tensor_to_example_map[t] = input_example[item]
#input_placeholder = graph.get_tensor_by_name(input_tensor_name)
output_tensor = [graph.get_tensor_by_name(i) for i in output_tensor_name]
config = tf.ConfigProto(
allow_soft_placement=True,
# log_device_placement=True,
inter_op_parallelism_threads=1)
with tf.Session(graph=graph, config=config) as sess:
output_tensor = sess.run(output_tensor, feed_dict=tensor_to_example_map)
return output_tensor, output_tensor_name
def calculate_norm(ngraph_output, tf_output, desired_norm):
"""Calculate desired_norm between vectors.
Calculate the L1/L2/inf norm between the NGRAPH and tensorflow output vectors.
Args:
ngraph_output: The output vector generated from NGRAPH graph.
tf_output: The output vector generated from tensorflow graph.
desired_norm: L1/L2/inf norm.
Returns:
Calculated norm between the vectors.
Raises:
Exception: If the dimension of the two vectors mismatch.
"""
if (ngraph_output.shape != tf_output.shape):
raise Exception('ngraph output and tf output dimension mismatch')
ngraph_output_squeezed = np.squeeze(ngraph_output)
tf_output_squeezed = np.squeeze(tf_output)
ngraph_output_flatten = ngraph_output_squeezed.flatten()
tf_output_flatten = tf_output_squeezed.flatten()
factor = np.prod(ngraph_output_squeezed.shape)
if desired_norm not in [1, 2, np.inf]:
raise Exception('Only L2, L2, and inf norms are supported')
n = np.linalg.norm((ngraph_output_flatten - tf_output_flatten),
desired_norm)
if desired_norm is np.inf:
return n
else:
return n / len(ngraph_output_flatten)
def parse_json():
"""
Parse the user input json file.
Returns:
A dictionary contains all the parsed parameters.
"""
with open(os.path.abspath(args.json_file)) as f:
parsed_json = json.load(f)
return parsed_json
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument(
"--json_file", type=str, help="Model details in json format")
args = parser.parse_args()
if args.json_file is None:
raise ValueError("Supply a json file to start")
parameters = parse_json()
# Get reference/testing backend to compare
device1 = parameters["reference_backend"]
device2 = parameters["testing_backend"]
# Get L1/L2/Inf threshold value
l1_norm_threshold = parameters["l1_norm_threshold"]
l2_norm_threshold = parameters["l2_norm_threshold"]
inf_norm_threshold = parameters["inf_norm_threshold"]
# Create a folder to save output tensor arrays
output_folder = device1 + "-" + device2
createFolder(output_folder)
os.chdir(output_folder)
print("Model name: " + parameters["model_name"])
print("L1/L2/Inf norm configuration: {}, {}, {}".format(
l1_norm_threshold, l2_norm_threshold, inf_norm_threshold))
# Generate random input based on input_dimension
np.random.seed(100)
input_dimension = parameters["input_dimension"]
input_tensor_name = parameters["input_tensor_name"]
# Get random value range
rand_val_range = parameters["random_val_range"]
bs = int(parameters["batch_size"])
assert len(input_dimension) == len(
input_tensor_name
), "input_tensor_name dimension should match input_dimension in json file"
assert len(input_tensor_name) == len(
rand_val_range
), "Length of random_val_range should match input_tensor_name in json file"
# Matches the input tensors name with its required dimensions
input_tensor_dim_map = {}
for (dim, name, val_range) in zip(input_dimension, input_tensor_name,
rand_val_range):
random_input = np.random.randint(
val_range, size=[bs] + dim).astype('float32')
input_tensor_dim_map[name] = random_input
# Run the model on reference backend
result_tf_graph_arrs, out_tensor_names_cpu = calculate_output(
parameters, device1, input_tensor_dim_map)
# Run the model on testing backend
result_ngraph_arrs, out_tensor_names_ngraph = calculate_output(
parameters, device2, input_tensor_dim_map)
assert all(
[i == j for i, j in zip(out_tensor_names_cpu, out_tensor_names_ngraph)])
passed = True
th_dict = {
"L1": l1_norm_threshold,
"L2": l2_norm_threshold,
"inf": inf_norm_threshold
}
for tname, result_ngraph, result_tf_graph in zip(
out_tensor_names_cpu, result_ngraph_arrs, result_tf_graph_arrs):
new_out_layer = tname.replace("/", "_")
nparray_tf = np.array(result_tf_graph)
nparray_ngraph = np.array(result_ngraph)
np.save(device1 + "-" + new_out_layer + ".npy", nparray_tf)
np.save(device2 + "-" + new_out_layer + ".npy", nparray_ngraph)
l1_norm = calculate_norm(result_ngraph, result_tf_graph, 1)
l2_norm = calculate_norm(result_ngraph, result_tf_graph, 2)
inf_norm = calculate_norm(result_ngraph, result_tf_graph, np.inf)
norm_dict = {"L1": l1_norm, "L2": l2_norm, "inf": inf_norm}
print("\n[" + tname + "]")
#start the loop and check norms
for norm_name in norm_dict:
np.set_printoptions(precision=15)
if norm_dict[norm_name] > th_dict[norm_name]:
print(
"The %s norm is greater than %s threshold - %s norm: %f, %s threshold: %f"
% (norm_name, norm_name, norm_name, norm_dict[norm_name],
norm_name, th_dict[norm_name]))
passed = False
else:
print("The %s norm test passed - %s norm: %f, %s threshold: %f"
% (norm_name, norm_name, norm_dict[norm_name], norm_name,
th_dict[norm_name]))
if not passed:
sys.exit(1)
| 9,316 | 2,853 |
from fixing import *
from observable import *
from generate_flows import *
from generate_observables import *
class swap_rate(observable):
def __init__(self
, attributes
, flow_id
, reset_id
, reset_date
, reset_ccy
, proj_start_date
, proj_end_date
, fix
, spread=None):
observable.__init__(self
, attributes
, flow_id
, reset_id
, reset_ccy
, reset_date
, proj_end_date
, fix
, spread)
self.__proj_start_date = proj_start_date
self.__proj_end_date = proj_end_date
self.__generate()
def proj_start_date(self): return self.__proj_start_date
def proj_end_date(self): return self.__proj_end_date
def fixed_pay_basis(self) : return self.__fixed_pay_basis
def float_pay_basis(self) : return self.__float_pay_basis
def proj_basis(self): return self.__proj_basis
def fixed_flows(self): return self.__fixed_flows
def float_flows(self): return self.__float_flows
def __str__(self):
s = "%d, " % self.flow_id()
s += "%d, " % self.reset_id()
s += "%s, " % self.reset_currency()
s += "[%s, %s], " % (self.__proj_start_date, self.__proj_end_date)
return s
def __generate(self):
start = self.__proj_start_date
until = self.__proj_end_date
attributes = self.attributes()
fixed_period = attributes["fixed-pay-period"]
fixed_period_duration = attributes["fixed-pay-period-duration"]
fixed_pay_basis = attributes["fixed-pay-basis"]
fixed_pay_holiday_centers = attributes["fixed-pay-holiday-centers"]
fixed_shift_convention = attributes["fixed-shift-convention"]
float_period = attributes["float-pay-period"]
float_period_duration = attributes["float-pay-period-duration"]
float_pay_basis = attributes["float-pay-basis"]
float_pay_holiday_centers = attributes["float-pay-holiday-centers"]
float_shift_convention = attributes["float-shift-convention"]
libor_basis = attributes["index-basis"]
libor_holiday_centers = attributes["index-holiday-centers"]
libor_shift_convention = attributes["index-shift-convention"]
self.__fixed_flows = \
generate_flows(start
, until
, period = fixed_period
, duration = fixed_period_duration
, pay_shift_method = fixed_shift_convention
, pay_currency = self.reset_currency()
, pay_basis = fixed_pay_basis
, pay_holiday_centers = fixed_pay_holiday_centers
, accrual_shift_method = fixed_shift_convention
, accrual_holiday_centers = fixed_pay_holiday_centers)
libor_observables = \
generate_libor_observables(
start
, until
, roll_period = float_period
, roll_duration = float_period_duration
, reset_period = float_period
, reset_duration = float_period_duration
, tenor_period = float_period
, tenor_duration = float_period_duration
, reset_currency = self.reset_currency()
, reset_basis = libor_basis
, reset_holiday_centres = libor_holiday_centers
, reset_shift_method = libor_shift_convention)
self.__float_flows = \
generate_flows(start
, until
, period = float_period
, duration = float_period_duration
, pay_shift_method = float_shift_convention
, pay_currency = self.reset_currency()
, pay_basis = float_pay_basis
, pay_holiday_centers = float_pay_holiday_centers
, accrual_shift_method = float_shift_convention
, accrual_holiday_centers = float_pay_holiday_centers
, observables = libor_observables)
def forward(self, t, curve):
fund_pv = 0
for f in self.__float_flows:
obs = f.observables()[0]
proj_start, proj_end, reset_accrual_dcf = \
(obs.proj_start_date(), obs.proj_end_date(), obs.year_fraction())
dfs, dfe = \
curve(int(proj_start - t)/365.0), curve(int(proj_end - t)/365.0)
libor = (dfs/dfe - 1.0)/reset_accrual_dcf
pay_date, accrual_dcf = (f.pay_date(), f.year_fraction())
dfp = curve(int(pay_date - t)/365.0)
fund_pv += dfp*libor*accrual_dcf
fixed_pv = 0
for f in self.__fixed_flows:
pay_date, accrual_dcf = (f.pay_date(), f.year_fraction())
dfp = curve(int(pay_date - t)/365.0)
fixed_pv += dfp*accrual_dcf
return fund_pv/fixed_pv
def _test():
import doctest
doctest.testmod()
if __name__ == '__main__':
_test()
| 5,038 | 1,555 |
import discord
from discord.ext import commands
import os
import random
from server import run_server
#token
token = os.environ.get("token")
#prefisso
bot = commands.Bot(command_prefix="m!", description="Nada.")
bot.remove_command('help')
#status
@bot.event
async def on_ready():
print("Sono online come", bot.user)
await bot.change_presence(activity=discord.Game(name="It's-a me, Mario! m!help"))
@bot.command(description='It s-a me, Mario!')
async def help(ctx):
await ctx.message.delete()
embed = discord.Embed(
title="Okeydokey!",
colour=discord.Colour(0xFF001E),
timestamp=ctx.message.created_at)
embed.set_footer(text=f"I am exploring {len(bot.guilds)} kingdoms")
for x in bot.commands:
if not x.hidden:
if not x.description:
embed.add_field(
name=f"{bot.command_prefix}{x.name}",
value=f'Descrizione non impostata!',
inline=False)
else:
embed.add_field(
name=f"{bot.command_prefix}{x.name}",
value=f'```{x.description}```',
inline=False)
mes = await ctx.send(embed=embed)
def check(reaction, user):
return user == ctx.author and str(reaction.emoji) == '🔧'
await mes.add_reaction(emoji='🔧')
reaction, user = await bot.wait_for('reaction_add', check=check)
if reaction.emoji == "🔧":
await mes.delete()
#log
@bot.event
async def on_guild_join(guild):
ch = bot.get_channel(719316259237396491)
emb = discord.Embed(
description=f"{bot.user.mention} has arrived in the kingdom of **{guild.name}**\n King : **{guild.owner}**\n Inhabitants : **{guild.member_count}**",
colour=0xFF001E)
emb.set_footer(text=f"I am exploring {len(bot.guilds)} castel", icon_url=bot.user.avatar_url)
emb.set_thumbnail(url=guild.icon_url)
if guild.banner:
emb.set_image(url=guild.banner_url)
await ch.send(embed=emb)
@bot.event
async def on_guild_remove(guild):
ch = bot.get_channel(719316259237396491)
emb = discord.Embed(
description=f"{bot.user.mention} has abandoned the kingdom of **{guild.name}**\n King : **{guild.owner}**\n Inhabitants : **{guild.member_count}**",
colour=0xFF001E)
emb.set_footer(text=f"I am exploring {len(bot.guilds)} castel", icon_url=bot.user.avatar_url)
emb.set_thumbnail(url=guild.icon_url)
if guild.banner:
emb.set_image(url=guild.banner_url)
await ch.send(embed=emb)
#comandi
@bot.command(description='I repeat everything you write')
async def say(ctx, *, message):
a = commands.clean_content(use_nicknames=True)
message = await a.convert(ctx, message)
await ctx.send(message)
@bot.command(description='View support server')
async def support(ctx):
await ctx.message.delete()
embed = discord.Embed(
title="I'm-a-tired.",
description=
"[Support server](https://discord.gg/DF7KSsN)",
colour=0xFF001E)
await ctx.send(embed=embed, delete_after=20)
@bot.command(description='View source code')
async def source(ctx):
await ctx.message.delete()
embed = discord.Embed(
title="I'm-a-tired.",
description=
"The source code is available on [GitHub](https://github.com/Infinit7Even/Mario-)",
colour=0xFF001E)
await ctx.send(embed=embed, delete_after=20)
@bot.command(description='Invite Mario to your server')
async def invite(ctx):
await ctx.message.delete()
embed = discord.Embed(
title="Mamma mia!",
description=
"[Invite Mario](https://top.gg/bot/714550524829106296) in your server!",
colour=0xFF001E)
await ctx.send(embed=embed, delete_after=20)
@bot.command(description='Vote Mario In the Store')
async def vote(ctx):
await ctx.message.delete()
embed = discord.Embed(
title="Thank you so much for-to-playing my game!",
description="[Vote Mario!](https://top.gg/bot/714550524829106296)",
colour=0xFF001E)
await ctx.send(embed=embed, delete_after=20)
@bot.command(description='Bot credits')
async def credit(ctx):
await ctx.message.delete()
embed = discord.Embed(
title="Thank you so much for-to-playing my game!",
description="Bot developed da **Infinit7Even#1803** and **IT | Kewai#9029**",
colour=0xFF001E)
await ctx.send(embed=embed, delete_after=20)
@bot.command(description='Use this command if Mario isn t working properly')
async def fix(ctx):
await ctx.message.delete()
embed = discord.Embed(
title="Nighty, nighty. Ah, spaghetti... ah, ravioli... ah, mamma mia.",
description="Make sure Mario can read the messages, delete them and send links, if you still have problems contact Infinit7Even#1803.",
colour=0xFF001E)
await ctx.send(embed=embed, delete_after=20)
@bot.command(description='Bot response time in ms (Milliseconds)')
async def ping(ctx):
latency = bot.latency
await ctx.send('**Bot response time in ms (Milliseconds):**')
await ctx.send(latency)
#support
@bot.event
async def on_message(message):
await bot.process_commands(message)
if not message.author.bot:
if message.content.lower() == "m!say":
triggered = ['`To use that command type m!say message`']
await message.author.send(
f"{random.choice(triggered)}")
#triggered
@bot.event
async def on_message(message):
await bot.process_commands(message)
if not message.author.bot:
if message.content.lower() == "ciao":
triggered = ['Ehi, torna qua, scimmione!', 'Hi']
await message.channel.send(
f"{random.choice(triggered)}")
if message.content.lower() == "noice":
triggered = ['gg', 'k', 'kk']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "rip":
triggered = [
'https://tenor.com/view/rip-coffin-black-ghana-celebrating-gif-16743302', 'https://cdn.discordapp.com/attachments/611325092269522944/717659473057022013/SnapCrab_NoName_2020-6-3_10-42-9_No-00.png', 'https://tenor.com/view/davis-boreanaz-salute-uniform-gif-4762830'
]
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "f":
triggered = ['F', '```Press F to Pay Respect```']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "we":
triggered = ['Olah!', 'Welà']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "mario":
triggered = [
'Lets-a go!', 'Mamma mia!', 'Here we go!',
'It s-a me, **Mario!**', 'Okeydokey!', 'Im-a-tired.', 'Press "START" to play!', 'Hello there', 'I am back!'
]
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "start":
triggered = [
'Use `m!help` to open the menu']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "come va?":
triggered = [
'Bene, a te?', 'Alla grande!', 'Spettacularis!',
'It s-a me, **Mario!**', 'Good!'
]
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "bene":
triggered = [
'Ottimo!', 'Eccllente!', 'Fantastico!']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "m!say @everyone":
triggered = [
'F', 'Rip.']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "oh shit":
triggered = [
'OH SHIT, HERE WE GO AGAIN']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "mamma mia":
triggered = [
'Mamma Mia Marcello!']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "marcello":
triggered = [
'Mamma Mia Marcello!']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "luigi":
triggered = [
'Luigi! Che cosa ti trattiene!?']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "onesto":
triggered = [
'Ben detto fra!']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "ok":
triggered = [
'```Mario approves```']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "nintendo":
triggered = [
'Oh shit, my creator hasn t asked for rights yet', 'https://tenor.com/view/traffic-fbiopen-up-raid-gif-13450966']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "rossi":
triggered = [
'Wait!']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "giovanni":
triggered = [
'TIRAMI FUORI DA QUI!!!', 'Mamma mia!', 'Mamma mia Marcello!', 'Mamma miaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "gg":
triggered = [
'That s my bro.']
await message.channel.send(f"{random.choice(triggered)}")
if message.content.lower() == "mario dm":
triggered = ['I am back!']
await message.author.send(
f"{random.choice(triggered)}")
if message.content.lower() == "super mario":
triggered = ['bross WIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'https://www.youtube.com/watch?v=9kdayFSHkyI']
await message.channel.send(
f"{random.choice(triggered)}")
if message.content.lower() == "fuck you":
triggered = ['Owowowow']
await message.channel.send(
f"{random.choice(triggered)}")
if message.content.lower() == "64":
triggered = ['What memories...']
await message.channel.send(
f"{random.choice(triggered)}")
if message.content.lower() == "yo":
triggered = ['risposta 1', 'risposta 2']
await message.channel.send(
f"{random.choice(triggered)}")
run_server()
bot.run(token) | 10,953 | 3,621 |
import numpy as np
import string
import re
__all__ = ['BADAA',
'AALPHABET',
'convertHLAAsterisk',
'isvalidmer',
'isvalidHLA',
'rankEpitopes',
'rankKmers',
'rankMers',
'getIC50',
'getMers',
'getMerInds',
'grabKmer',
'grabKmerInds',
'findpeptide',
'grabOverlappingKmer',
'overlappingMers']
BADAA = '-*BX#Z? '
AALPHABET = 'ACDEFGHIKLMNPQRSTVWY'
def convertHLAAsterisk(hlas):
"""Replace the * with _ in each HLA allele"""
repAsteriskPattern = re.compile('\*')
return [re.sub(repAsteriskPattern, '_', h) for h in hlas]
def isvalidmer(mer):
if not mer is None:
return not re.search('[%s]' % BADAA, mer)
else:
return False
def isvalidHLA(h, loci='AB'):
if h[0] in loci:
return True
else:
return False
def rankEpitopes(ba, hlaList, peptide, nmer = [8, 9, 10, 11], peptideLength = None):
"""Breaks peptide into kmers (all nmer lengths)
and rank all (hla, kmer) pairs by predicted IC50 in hlaPredCache ba
IDENTICAL to rankKmers but may have different performance?
Can be used to find the most likely optimal epitope in a peptide sequence.
Predictions that are not found in ba get a temporary prediction of 15 log-nM
Parameters
----------
ba : hlaPredCache
dict-like container of all (hla, kmer) IC50 values
hlaList : list
HLA alleles to be used as keys in ba
peptide : str
AA sequence
nmer : list
Integers indicating optimal lengths to be tested as kmers.
peptideLength : int or None
If a number is specified then a number of '.' padded kmers are included
so that there are always garaunteed to be a certain number of kmers and results
Returns
-------
ranks : ndarray int
Zero-based rankings of kmers based on predicted IC50 (lowest IC50, lowest rank)
sorti : ndarray int
Index that can be used to sort the returned arrays
kmers : ndarray object
Array of kmer strings in order by getMers() (can be sorted by rank with sorti)
ic50 : ndarray float
Predicted log-IC50 (log-nM) with the HLA allele with the lowest IC50
hla : ndarray object
Array of HLA alleles that were the best predicted binder to each kmer"""
merList = getMers(peptide, nmer, peptideLength)
kmers = np.empty((len(merList), len(hlaList)), dtype=object)
ic50 = np.ones((len(merList), len(hlaList))) * 15
hla = np.empty((len(merList), len(hlaList)), dtype=object)
for i, m in enumerate(merList):
for j, h in enumerate(hlaList):
kmers[i, j] = m
hla[i, j] = h
tmp = ba[(h, m)]
if not np.isnan(tmp):
ic50[i, j] = tmp
kmers = kmers.flatten()
ic50 = ic50.flatten()
hla = hla.flatten()
sorti = ic50.argsort()
ranks = np.empty(len(ic50), int)
ranks[sorti] = np.arange(len(ic50))
return (ranks, sorti, kmers, ic50, hla)
def rankKmers(ba, hlaList, peptide, nmer=[8, 9, 10, 11], peptideLength=None):
"""Breaks peptide into kmers (all nmer lengths)
and rank all (hla, kmer) pairs by predicted IC50 in hlaPredCache ba
IDENTICAL to rankEpitopes but may have different performance?
Can be used to find the most likely optimal epitope in a peptide sequence.
Predictions that are not found in ba get a temporary prediction of 15 log-nM
Parameters
----------
ba : hlaPredCache
dict-like container of all (hla, kmer) IC50 values
hlaList : list
HLA alleles to be used as keys in ba
peptide : str
AA sequence
nmer : list
Integers indicating optimal lengths to be tested as kmers.
peptideLength : int or None
If a number is specified then a number of '.' padded kmers are included
so that there are always garaunteed to be a certain number of kmers and results
Returns
-------
ranks : ndarray int
Zero-based rankings of kmers based on predicted IC50 (lowest IC50, lowest rank)
sorti : ndarray int
Index that can be used to sort the returned arrays
kmers : ndarray object
Array of kmer strings in order by getMers() (can be sorted by rank with sorti)
ic50 : ndarray float
Predicted log-IC50 (log-nM) with the HLA allele with the lowest IC50
hla : ndarray object
Array of HLA alleles that were the best predicted binder to each kmer"""
kmers = getMers(peptide, nmer, peptideLength)
result = rankMers(ba, hlaList, kmers)
return (result[0], result[1], kmers, result[2], result[3])
def rankMers(ba, hlaList, merList):
"""Ranks all (hla, mer) pairs by predicted IC50 found in hlaPredCache, ba
Can be used to find the most likely optimal epitope from a list.
Predictions that are not found in ba get a temporary prediction of 15 log-nM
Parameters
----------
ba : hlaPredCache
dict-like container of all (hla, kmer) IC50 values
hlaList : list
HLA alleles to be used as keys in ba
merList : list
Peptide sequences to be tests with each HLA allele
Returns
-------
ranks : ndarray int
Zero-based rankings of kmers based on predicted IC50 (lowest IC50, lowest rank)
sorti : ndarray int
Index that can be used to sort the returned arrays
kmers : ndarray object
Array of kmer strings in order by getMers() (can be sorted by rank with sorti)
ic50 : ndarray float
Predicted log-IC50 (log-nM) with the HLA allele with the lowest IC50
hla : ndarray object
Array of HLA alleles that were the best predicted binder to each kmer"""
ic50 = np.ones((len(merList))) * 15
hla = np.empty(len(merList), dtype=object)
for i, m in enumerate(merList):
if not '.' in m:
ic50[i], hla[i] = getIC50(ba, hlaList, m, returnHLA=True)
sorti = ic50.argsort()
ranks = np.empty(len(ic50), dtype=int)
ranks[sorti] = np.arange(len(ic50))
return (ranks, sorti, ic50, hla)
def getIC50(ba, hlaList, mer, nmer=[8, 9, 10, 11], returnHLA=False):
"""Return the IC50 from ba of the mer and its affinity with the most avid HLA in hlaList.
Or if len(pep)>11, return that of the most avid kmer
Parameters
----------
ba : hlaPredCache
dict-like container of all (hla, kmer) IC50 values
hlaList : list
HLA alleles to be used as keys in ba
mer : string
Peptide sequences to be tests with each HLA allele
nmer : list
Integers indicating optimal lengths to be tested as kmers.
returnHLA : bool
If True, return the HLA with the lowest binding affinity.
Returns
-------
ic50 : float
Log-IC50 from ba
hla : string (optional)
HLA allele with best binding"""
if ba is None:
raise NameError('Did not load IC50 values into ba!')
if len(mer) <= 11:
"""Minimum IC50 over the HLAs"""
ic50s = np.asarray([ba[(h, mer)] for h in hlaList])
hlas = hlaList
else:
"""Minimum IC50 over all the mers and all the HLAs"""
pairs = [getIC50(ba, hlaList, m, returnHLA=True) for m in getMers(mer, nmer)]
ic50s = np.asarray([p[0] for p in pairs])
hlas = [p[1] for p in pairs]
mini = np.argmin(ic50s)
if returnHLA:
return ic50s[mini], hlas[mini]
else:
return ic50s[mini]
def getMers(seq, nmer=[8, 9, 10, 11], seqLength=None):
"""Takes a AA sequence (string) and turns it into a list of 8, 9, 10, 11 mers
The seq will be padded with one or more '.' if it is shorter than seqLength
These indices will match the peptides created by getMers()
Paramters
---------
seq : str
Peptide sequence.
nmer : list
List of k's for the creation of all kmers.
seqLength : int
Minimum length of seq ('.' used for padding before applying the process)
Useful for garaunteeing that a certain number of kmers will be in the list.
Returns
-------
mers : list
All peptides of length nmer contained by seq"""
if not seqLength is None:
if len(seq) > seqLength:
seq = seq[:seqLength]
elif len(seq) < seqLength:
seq = string.ljust(seq, seqLength, '.')
mers = []
for n in nmer:
mers.extend([seq[i:i+n] for i in range(len(seq)-n+1)])
return mers
def getMerInds(seq, nmer=[8, 9, 10, 11], seqLength=None):
"""Takes a AA sequence (string) and turns it into a list of 8, 9, 10, 11 mers
The seq will be padded with one or more '.' if it is shorter than seqLength
These indices will match the peptides created by getMers()
Paramters
---------
seq : str
Peptide sequence.
nmer : list
List of k's for the creation of all kmers.
seqLength : int
Minimum length of seq ('.' used for padding before applying the process)
Useful for garaunteeing that a certain number of kmers will be in the list.
Returns
-------
mers : list
All peptides of length nmer contained by seq
mers : list
Seq indices for mers"""
if not seqLength is None:
if len(seq) > seqLength:
seq = seq[:seqLength]
elif len(seq) < seqLength:
seq = string.ljust(seq, seqLength, '.')
mers = []
inds = []
for n in nmer:
mers.extend([seq[i:i+n] for i in range(len(seq)-n+1)])
inds.extend([np.arange(n)+i for i in range(len(seq)-n+1)])
return mers, inds
def itermer(seq, k=9, gapped=True, yield_inds=False):
"""Generator over all k-mers in seq.
There are [len(seq) - k + 1] k-mers in seq.
Parameters
----------
seq : str
Sequence which will be broken into kmers.
k : int
Length of peptides to return.
gapped : bool
If True (default), yield the k-mer including gaps.
If False, yield the "non-gapped" k-mer from grabKmer
return_inds : bool
If True, also yield an array of indices from grabKmerInds
Yields
------
mer : str
If gapped, then a k-length peptide starting at starti from seq.
If seq[starti] is a gap then returns None.
If not gapped then all gaps are removed before taking the k-length peptide
(if there aren't k AAs then return is None)
inds : nd.array (optional)
An array of indices for the mer"""
for i in range(len(seq) - k + 1):
g, ng = grabKmer(seq, i, k=k)
if gapped:
mer = g
else:
mer = ng
if yield_inds:
ginds, nginds = grabKmerInds(seq, i, k=k)
if gapped:
inds = ginds
else:
inds = nginds
yield (mer, inds)
else:
yield (mer,)
def grabKmer(seq, starti, k=9):
"""Grab the kmer from seq starting at position starti with length k
Return the gapped and non-gapped kmer
If seq[starti] is a gap then the non-gapped kmer is None.
If there are not enough non-gap AA to return after starti then it returns None
Parameters
----------
seq : str
Sequence from which peptide will be grabbed.
starti : int
Starting position of the kmer (zero-based indexing)
k : int
Length of the peptide to return.
Returns
-------
gapped : str
A k-length peptide starting at starti from seq.
nonGapped : str
A k-length peptide starting at starti from seq.
If seq[starti] is a gap then returns None.
If not then all gaps are removed before taking the k-length peptide
(if there aren't k AAs then return is None)"""
if not isinstance(starti, int):
starti = int(starti)
if (starti+k-1) <= (len(seq)-1) and starti >= 0:
tmp = seq[starti:]
full = tmp[:k]
if full[0] == '-':
return None, None
elif '-' in full:
ng = tmp.replace('-', '')
if len(ng) >= k:
ng = ng[:k]
else:
ng = None
else:
ng = full
return full, ng
else:
return None, None
def grabKmerInds(seq, starti, k=9):
"""Grab the kmer from seq starting at position starti with length k
Return the indices of the gapped and non-gapped kmers
i.e. indices are such that seq[ind] == kmer
If seq[starti] is a gap then the non-gapped kmer is None.
If there are not enough non-gap AA to return after starti then it returns None
Parameters
----------
seq : str
Sequence from which peptide will be grabbed.
starti : int
Starting position of the kmer (zero-based indexing)
k : int
Length of the peptide to return.
Returns
-------
gapped : ndarray
A k-length vector starting with starti containing the indices for the kmer
nonGapped : ndarray
A k-length vector starting at starti.
If seq[starti] is a gap then returns an empty array.
If not then all gaps are removed before taking the k-length peptide
(if there aren't k AAs then return is an empty array)"""
if not isinstance(starti, int):
starti = int(starti)
if (starti+k-1) <= (len(seq)-1) and starti >= 0:
tmp = np.arange(starti, len(seq))
full = tmp[:k]
"""If it starts with a gap then it is invalid (arbitary rule)"""
if seq[starti] == '-':
return np.empty(0), np.empty(0)
elif '-' in seq[starti:starti+k]:
"""If there's a gap somewhere else then go through one by one adding non-gapped indices"""
ng = []
for sitei in tmp:
if not seq[sitei] == '-':
ng.append(sitei)
"""If we get to k non-gapped AAs then return full,ng"""
if len(ng) == k:
return full, np.array(ng)
"""If we get to then end of the seq then return ng=None"""
return full, np.empty(0)
else:
"""If there are no gaps anywhere then just return k indices starting with starti"""
return full, full
else:
"""If its an invalid request then return None,None"""
return np.empty(0), np.empty(0)
def findpeptide(pep, seq, returnEnd = False):
"""Find pep in seq ignoring gaps but returning a start position that counts gaps
pep must match seq exactly (otherwise you should be using pairwise alignment)
Parameters
----------
pep : str
Peptide to be found in seq.
seq : str
Sequence to be searched.
returnEnd : bool
Flag to return the end position such that:
seq[startPos:endPos] = pep
Returns
-------
startPos : int
Start position (zero-indexed) of pep in seq or -1 if not found"""
ng = seq.replace('-', '')
ngInd = ng.find(pep)
ngCount = 0
pos = 0
"""Count the number of gaps prior to the non-gapped position. Add them to it to get the gapped position"""
while ngCount < ngInd or seq[pos] == '-':
if not seq[pos] == '-':
ngCount += 1
pos += 1
startPos = ngInd + (pos - ngCount)
if returnEnd:
if startPos == -1:
endPos = -1
else:
count = 0
endPos = startPos
while count < len(pep):
if not seq[endPos] == '-':
count += 1
endPos += 1
return startPos, endPos
else:
return startPos
def grabOverlappingKmer(seq, sitei, pos=0, k=9):
"""Grab the kmer from seq for which it is in the pos position at sitei
Return the gapped and non-gapped kmer
This is a generalization of grabKmer for pos = 0
If seq[sitei] is a gap then the non-gapped kmer is None.
If there are not enough non-gap AA to return before/after sitei then it returns None
Parameters
----------
seq : str
Sequence from which peptide will be grabbed.
sitei : int
Key position of the kmer (zero-based indexing)
pos : int
The position of the key sitei in the kmer.
k : int
Length of the peptide to return.
Returns
-------
gapped : str
A k-length peptide that overlaps sitei
nonGapped : str
A k-length peptide that overlaps sitei
If seq[sitei] is a gap then returns None.
If not then all gaps are removed before taking the k-length peptide
(if there aren't k AAs then return is None)"""
aaRight = k - pos
aaLeft = pos
if seq[sitei] == '-':
return None, None
if (sitei + aaRight) <= len(seq) and (sitei - aaLeft) >= 0:
if pos<k:
rh = seq[sitei:]
fullRH = rh[:aaRight]
if '-' in fullRH:
ngRH = rh.replace('-', '')
if len(ngRH) >= aaRight:
ngRH = ngRH[:aaRight]
else:
ngRH = None
else:
ngRH = fullRH
else:
fullRH = ''
ngRH = ''
if pos>0:
lh = seq[:sitei]
fullLH = lh[-aaLeft:]
if '-' in fullLH:
ngLH = lh.replace('-', '')
if len(ngLH) >= aaLeft:
ngLH = ngLH[-aaLeft:]
else:
ngLH = None
else:
ngLH = fullLH
else:
fullLH = ''
ngLH = ''
full = fullLH + fullRH
#print aaLeft,fullLH,",", aaRight,fullRH
if ngLH is None or ngRH is None:
ng = None
else:
ng = ngLH + ngRH
return full, ng
else:
return None, None
def overlappingMers(seq, sitei, nmer = [8, 9, 10, 11], padding = 0):
"""Create a list of kmers that overlap sitei in seq
Returns parallel lists of the mers, start positions and lengths
Parameters
----------
seq : str
sitei : int
Zero-based index into seq
nmer : list
Lengths of kmers to consider
padding : int
Allow kmer to be within padding.
Defalut is no padding (must overlap)
Returns
-------
mers : list
List of overlapping peptides
starti : list
List of start positions"""
def _overlappingMersNoPadding(seq, sitei, nmer):
mers = []
starti = []
for k in nmer:
for posi in range(k):
ng = grabOverlappingKmer(seq, sitei, pos=posi, k=k)[1]
if not ng is None:
mers.append(ng)
starti.append(sitei-posi)
#print sitei, posi, k, ng
mers, uniqi = np.unique(mers, return_index = True)
starti = np.array(starti)[uniqi]
return mers, starti
mers, starti = _overlappingMersNoPadding(seq, sitei, nmer = nmer)
if padding > 0:
for padi in (np.arange(padding) + 1):
for tmpSitei in [sitei+padi, sitei-padi]:
tmpMers, tmpStarti = _overlappingMersNoPadding(seq, tmpSitei, nmer)
mers = np.concatenate((mers, tmpMers))
starti = np.concatenate((starti, tmpStarti))
mers, uniqi = np.unique(mers, return_index = True)
starti = np.array(starti)[uniqi]
return mers, starti | 19,506 | 6,285 |
assert __name__ == '__main__'
# in shell
import os, sys
simfempypath = os.path.abspath(os.path.join(__file__, os.path.pardir, os.path.pardir, os.path.pardir, os.path.pardir,'simfempy'))
sys.path.insert(0,simfempypath)
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import pygmsh
from simfempy.applications.stokes import Stokes
from simfempy.applications.navierstokes import NavierStokes
from simfempy.applications.problemdata import ProblemData
from simfempy.meshes.simplexmesh import SimplexMesh
from simfempy.meshes import plotmesh
# ================================================================c#
def main(testcase='drivenCavity'):
testcases = ['drivenCavity', 'backwardFacingStep', 'poiseuille']
# create mesh and data
if testcase=='drivenCavity':
mesh, data = drivenCavity(h=0.2, mu=0.00025)
elif testcase=='backwardFacingStep':
mesh, data = backwardFacingStep(h=0.1)
elif testcase=='poiseuille':
mesh, data = poiseuille(h=0.1)
else:
raise ValueError(f"test case must be in {testcases=}")
# plotmesh.meshWithBoundaries(mesh)
# create application
# stokes = Stokes(mesh=mesh, problemdata=data, linearsolver='iter_gmres_10')
stokes = Stokes(mesh=mesh, problemdata=data, linearsolver='umf')
# stokes = NavierStokes(mesh=mesh, problemdata=data, linearsolver='iter_gmres')
# stokes = NavierStokes(mesh=mesh, problemdata=data, linearsolver='iter_gcrotmk')
# stokes = NavierStokes(mesh=mesh, problemdata=data, linearsolver='umf')
result = stokes.solve()
print(f"{result.info['timer']}")
print(f"postproc:")
for p, v in result.data['global'].items(): print(f"{p}: {v}")
fig = plt.figure(figsize=(10, 8))
outer = gridspec.GridSpec(1, 3, wspace=0.2, hspace=0.2)
plotmesh.meshWithBoundaries(mesh, fig=fig, outer=outer[0])
plotmesh.meshWithData(mesh, data=result.data, title="Stokes", fig=fig, outer=outer[1])
plotmesh.meshWithData(mesh, title="Stokes", fig=fig, outer=outer[2],
quiver_data={"V":list(result.data['point'].values())})
plt.show()
# ================================================================c#
def drivenCavity(h=0.1, mu=0.001):
with pygmsh.geo.Geometry() as geom:
ms = [h*v for v in [1.,1.,0.2,0.2]]
p = geom.add_rectangle(xmin=0, xmax=1, ymin=0, ymax=1, z=0, mesh_size=ms)
geom.add_physical(p.surface, label="100")
for i in range(len(p.lines)): geom.add_physical(p.lines[i], label=f"{1000 + i}")
mesh = geom.generate_mesh()
data = ProblemData()
# boundary conditions
# data.bdrycond.set("Dirichlet", [1000, 1001, 1002, 1003])
data.bdrycond.set("Dirichlet", [1001, 1002, 1003])
data.bdrycond.set("Navier", [1000])
# data.bdrycond.fct[1002] = lambda x, y, z: np.vstack((np.ones(x.shape[0]),np.zeros(x.shape[0])))
data.bdrycond.fct[1002] = [lambda x, y, z: 1, lambda x, y, z: 0]
# parameters
data.params.scal_glob["mu"] = mu
#TODO pass ncomp with mesh ?!
data.ncomp = 2
return SimplexMesh(mesh=mesh), data
# ================================================================ #
def backwardFacingStep(h=0.2, mu=0.02):
with pygmsh.geo.Geometry() as geom:
X = []
X.append([-1.0, 1.0])
X.append([-1.0, 0.0])
X.append([0.0, 0.0])
X.append([0.0, -1.0])
X.append([3.0, -1.0])
X.append([3.0, 1.0])
p = geom.add_polygon(points=np.insert(np.array(X), 2, 0, axis=1), mesh_size=h)
geom.add_physical(p.surface, label="100")
for i in range(len(p.lines)): geom.add_physical(p.lines[i], label=f"{1000 + i}")
mesh = geom.generate_mesh()
data = ProblemData()
# boundary conditions
data.bdrycond.set("Dirichlet", [1000, 1001, 1002, 1003])
# data.bdrycond.set("Dirichlet", [1000, 1001, 1002, 1003, 1005])
data.bdrycond.set("Neumann", [1004])
data.bdrycond.set("Navier", [1005])
# data.bdrycond.fct[1000] = [lambda x, y, z: 1, lambda x, y, z: 0]
data.bdrycond.fct[1000] = [lambda x, y, z: y*(1-y), lambda x, y, z: 0]
# parameters
data.params.scal_glob["mu"] = mu
data.params.scal_glob["navier"] = 0.01
#TODO pass ncomp with mesh ?!
data.ncomp = 2
return SimplexMesh(mesh=mesh), data
# ================================================================ #
def poiseuille(h= 0.1, mu=0.02):
with pygmsh.geo.Geometry() as geom:
#ms = [h*v for v in [1.,1.,0.2,0.2]]
ms = h
p = geom.add_rectangle(xmin=-1.0, xmax=3.0, ymin=-1.0, ymax=1.0, z=0, mesh_size=ms)
geom.add_physical(p.surface, label="100")
for i in range(len(p.lines)): geom.add_physical(p.lines[i], label=f"{1000 + i}")
mesh = geom.generate_mesh()
data = ProblemData()
# boundary conditions
data.bdrycond.set("Dirichlet", [1000, 1003, 1002])
data.bdrycond.set("Neumann", [1001])
# data.bdrycond.fct[1002] = lambda x, y, z: np.vstack((np.ones(x.shape[0]),np.zeros(x.shape[0])))
data.bdrycond.fct[1003] = [lambda x, y, z: 1, lambda x, y, z: 0]
#--------------------------------------------------------------------------
#navier_slip_boundary
data.bdrycond.fct[1002] = [lambda x, y, z: 1, lambda x, y, z: 0]
#data.bdrycond.fct[1000] = [lambda x, y, z: 0, lambda x, y, z: 0]
#---------------------------------------------------------------------------
# parameters
data.params.scal_glob["mu"] = mu
data.params.scal_glob["navier"] = 0.01
#TODO pass ncomp with mesh ?!
data.ncomp = 2
return SimplexMesh(mesh=mesh), data
# ================================================================c#
main()
| 5,697 | 2,298 |
import re
import ujson
from psycopg2.sql import SQL, Composable, Identifier
from polecat.utils import to_bool, to_tuple
from ...schema.column import ReverseColumn
from .expression import Expression
class DiscardValue:
pass
class Where:
FILTER_PROG = re.compile(r'^([a-zA-Z][a-zA-Z0-9_]+(?:__[a-zA-Z][a-zA-Z0-9_]+)*)$')
FILTER_TYPES = None
def __init__(self, *args, **kwargs):
self.root = self.parse_input(args, kwargs)
def get_sql(self, relation):
self.relation = relation
if self.root:
return self.root.get_sql(self)
else:
return None
def parse_input(self, args, kwargs):
root = None
for k, v in kwargs.items():
m = self.FILTER_PROG.match(k)
if not m:
raise ValueError(f'Unable to match filter condition: {k}')
target = m.group(1)
lookup, flt_cls = self.parse_target(target)
flt = flt_cls(self, lookup, v)
if root is None:
root = flt
else:
root = And(root, flt)
for a in args:
# TODO: Confirm that `a` is a proper FilterType.
root = And(root, a)
return root
def parse_target(self, target):
i = target.rfind('__')
if i != -1:
try:
return target[:i], self.FILTER_TYPES[target[i + 2:]]
except KeyError:
pass
return target, Equal
def merge(self, other, boolean='AND'):
# TODO: We should really do a check for duplicate filters.
if self.root:
if other.root:
if boolean == 'AND':
self.root = And(self.root, other.root)
else:
self.root = Or(self.root, other.root)
elif other.root:
self.root = other.root
def get_primary_columns(self):
return self.root.get_primary_columns()
class FilterType:
def __init__(self, filter, lookup, value):
self.parse_lookup(lookup)
self.parse_value(filter, value)
def get_sql(self, filter):
sql, args = self.eval(filter)
sql = self.eval_joins(filter, sql)
return sql, args
def eval(self, filter):
pass
# val = self.value
# if isinstance(self.value, str):
# val = val.format(**filter.context)
# values.append(val)
def eval_joins(self, filter, condition):
if not self.joins:
return condition
sql = '%s'
relation = filter.relation
args = []
for i, joined_column_name in enumerate(self.joins):
# TODO: Handle m2m, reverse fk, reverse m2m.
column = relation.get_column(joined_column_name)
if isinstance(column, ReverseColumn):
prev_tbl_name = relation.alias
prev_col_name = 'id'
col_name = column.related_column.name
else:
prev_tbl_name = relation.alias
prev_col_name = column.name
col_name = 'id'
relation = column.related_table
tbl = relation.alias
# TODO: Use Identifier
# TODO: PK field other than 'id'.
next = 'EXISTS (SELECT 1 FROM {} WHERE {} = {} AND %s)'
args.extend([
Identifier(tbl),
SQL('{}.{}').format(Identifier(prev_tbl_name), Identifier(prev_col_name)),
SQL('{}.{}').format(Identifier(tbl), Identifier(col_name))
])
sql = sql % next
sql = sql % '{}'
args.append(condition)
sql = SQL(sql).format(*args)
return sql
def parse_lookup(self, lookup):
lookup_parts = lookup.split('__')
if len(lookup_parts) < 1:
raise ValueError(f'invalid filter: {lookup}')
# if lookup_parts[-1] in Filter.FILTER_TYPES:
# self.type = lookup_parts.pop()
# else:
# self.type = 'eq'
self.joins = lookup_parts[:-1]
self.field = lookup_parts[-1]
def parse_value(self, filter, value):
# TODO: Oh this isn't nice. I need to be able to use fields to
# convert values.
if self.field == 'id':
try:
self.value = value.id
except AttributeError:
self.value = value
else:
self.value = value
def get_table_column(self, filter):
relation = filter.relation
table_name = relation.alias
for joined_column_name in self.joins:
column = relation.get_column(joined_column_name)
relation = column.related_table
table_name = relation.alias
return table_name, self.field
def format(self, format_string, *args):
# TODO: A little ugly. Now a lot ugly.
if isinstance(self.value, Composable):
format_string = format_string % '{}'
return SQL(format_string).format(*(args + (self.value,))), ()
elif isinstance(self.value, Expression):
value_sql, value_args = self.value.to_sql()
format_string = format_string % '{}'
return SQL(format_string).format(*(args + (value_sql,))), value_args
else:
value = self.get_value()
if value == DiscardValue:
sql_args = ()
else:
sql_args = to_tuple(self.get_value(), keep_none=True)
return SQL(format_string).format(*args), sql_args
def get_value(self):
return (self.value,)
def get_primary_columns(self):
# TODO: Test this.
if self.joins:
return (self.joins[0],)
return (self.field,)
class Equal(FilterType):
def eval(self, filter):
super().eval(filter)
try:
tbl, col = self.get_table_column(filter)
except KeyError:
raise ValueError(f'invalid attribute: {self.field}')
op = '=' if self.value is not None else 'IS'
return self.format(
'{}.{} {} %s',
Identifier(tbl),
Identifier(col),
SQL(op)
)
class NotEqual(FilterType):
def eval(self, filter):
super().eval(filter)
try:
tbl, col = self.get_table_column(filter)
except KeyError:
raise ValueError(f'invalid attribute: {self.field}')
op = '!=' if self.value is not None else 'IS NOT'
return self.format('{}.{} {} %s', tbl, col, op)
class Contains(FilterType):
def eval(self, filter):
super().eval(filter)
try:
tbl, col = self.get_table_column(filter)
except KeyError:
raise ValueError(f'invalid attribute: {self.field}')
op = self.get_operation()
return self.format('{}.{} {} %s', Identifier(tbl), Identifier(col), SQL(op))
def parse_value(self, filter, value):
value = '%{}%'.format(value)
self.value = value.replace('%', r'%%')
def get_operation(self):
return 'LIKE'
class ContainsInsensitive(Contains):
def get_operation(self):
return 'ILIKE'
class Less(FilterType):
def eval(self, filter):
super().eval(filter)
return self.format('{} < %s', self.field)
class Greater(FilterType):
def eval(self, filter):
super().eval(filter)
return self.format('{} > %s', self.field)
class LessEqual(FilterType):
def eval(self, filter):
super().eval(filter)
return self.format('{} <= %s', self.field)
class GreaterEqual(FilterType):
def eval(self, filter):
super().eval(filter)
return self.format('{} >= %s', self.field)
class In(FilterType):
def eval(self, filter):
super().eval(filter)
try:
tbl, col = self.get_table_column(filter)
except KeyError:
raise ValueError(f'invalid attribute: {self.field}')
return self.format('{}.{} = ANY (%s)', Identifier(tbl), Identifier(col))
def parse_value(self, filter, value):
if isinstance(value, (list, tuple, set)):
self.value = list(value)
else:
try:
self.value = ujson.loads(value)
except Exception:
raise ValueError(f'Unable to parse "in" filter value: {value}')
def get_value(self):
return ([self.value],)
class NotIn(In):
def eval(self, filter):
FilterType.eval(self, filter)
return self.format('{} NOT IN %s', self.field)
class IsNull(FilterType):
def eval(self, filter):
super().eval(filter)
try:
tbl, col = self.get_table_column(filter)
except KeyError:
raise ValueError(f'invalid attribute: {self.field}')
op = 'IS' if self.value else 'IS NOT'
return self.format(
'{}.{} {} NULL', Identifier(tbl), Identifier(col), SQL(op)
)
def parse_value(self, filter, value):
self.value = to_bool(value)
def get_value(self):
return DiscardValue
# class NotNull(FilterType):
# def eval(self, filter):
# super().eval(filter)
# return f'{self.field} NOT NULL'
class Overlap(FilterType):
def eval(self, filter):
super().eval(filter)
try:
tbl, col = self.get_table_column(filter)
except KeyError:
raise ValueError(f'invalid attribute: {self.field}')
return self.format('{}.{} && %s', tbl, col)
class WithinDistance(FilterType):
def __init__(self, filter, lookup, point, distance):
super().__init__(filter, lookup, distance)
self.value = (point, self.value)
def eval(self, filter):
super().eval(filter)
try:
tbl, col = self.get_table_column(filter)
except KeyError:
raise ValueError(f'invalid attribute: {self.field}')
return self.format('{}.{} <@> %s < %s', tbl, col)
# TODO: This may not be the fastest formulation: https://www.postgresql.org/docs/10/pgtrgm.html#id-1.11.7.41.8
class TrigramSimilar(FilterType):
def eval(self, filter):
super().eval(filter)
try:
tbl, col = self.get_table_column(filter)
except KeyError:
raise ValueError(f'invalid attribute: {self.field}')
return self.format('{}.{} % %s', tbl, col)
class Operator:
def __init__(self, left, right):
self.left = left
self.right = right
def get_sql(self, filter):
raise NotImplementedError
def eval_sides(self, filter):
left_sql, left_args = self.left.get_sql(filter)
right_sql, right_args = self.right.get_sql(filter)
return left_sql, right_sql, left_args + right_args
def get_primary_columns(self):
return self.left.get_primary_columns() + self.right.get_primary_columns()
class And(Operator):
def get_sql(self, filter):
left, right, args = self.eval_sides(filter)
# TODO: Making new SQLs here is probably a tiny bit inefficient.
if isinstance(self.left, Or):
left = SQL('({})').format(left)
if isinstance(self.right, Or):
right = SQL('({})').format(right)
return SQL('{} AND {}').format(left, right), args
class Or(Operator):
def get_sql(self, filter):
left, right, args = self.eval_sides(filter)
return SQL('{} OR {}').format(left, right), args
Where.FILTER_TYPES = {
'eq': Equal,
'ne': NotEqual,
'lt': Less,
'gt': Greater,
'le': LessEqual,
'ge': GreaterEqual,
'in': In,
'ct': Contains,
'cti': ContainsInsensitive,
'ni': NotIn,
'nu': IsNull,
# 'nn': NotNull,
'ov': Overlap,
# 'bt': Between,
'trigram_similar': TrigramSimilar
}
| 11,816 | 3,573 |
import json
from autobahn.asyncio.websocket import WebSocketClientProtocol
from config import DEBUG, CLIENTS_MSGS_COUNT, CLIENTS_COUNT
class WSClientProtocol(WebSocketClientProtocol):
"""
Websocket client protocol.
"""
def __init__(self):
super(WSClientProtocol, self).__init__()
self._msgs_received = 0
self._disconect_after = CLIENTS_COUNT * CLIENTS_MSGS_COUNT - CLIENTS_MSGS_COUNT
def _print(self, msg):
if DEBUG:
print('Client {}: {}'.format(id(self), msg))
def onConnect(self, response):
self._print('connected: {}.'.format(response.peer))
def onOpen(self):
self._print('ws connection opened.')
msg_bin = json.dumps(
{
'client_id': id(self),
'message': 'Mauris blandit aliquet elit, eget tincidunt nibh pulvinar a.'
}
).encode('utf8')
for _ in range(CLIENTS_MSGS_COUNT):
self.sendMessage(msg_bin, isBinary=True)
def onMessage(self, payload, is_binary):
if is_binary:
self._print('binary msg {} received: {} bytes'.format(self._msgs_received, len(payload)))
self._msgs_received += 1
if self._msgs_received == self._disconect_after:
self._print('sendClose')
self.sendClose(code=1000, reason='we_are_tired')
def onClose(self, wasClean, code, reason):
self._print('connection closed: {}.'.format(reason))
| 1,479 | 468 |
import pytest
import time
import json
from datetime import date, timedelta
from www.core import Synapse, Env
from www.services.synapse_space.daa import GrantDaaAccessService
import synapseclient as syn
@pytest.fixture
def mk_service(syn_test_helper, syn_client, mk_uniq_real_email, blank_daa_config, set_daa_config):
services = []
def _mk(config=None,
team_name=syn_test_helper.uniq_name(prefix='Team'),
institution_name=syn_test_helper.uniq_name(prefix='Institution'),
institution_short_name=syn_test_helper.uniq_name(prefix='Institution Short Name'),
user_identifier=mk_uniq_real_email(),
agreement_url='https://{0}/doc.pdf'.format(syn_test_helper.uniq_name()),
start_date=date.today(),
end_date=date.today() + timedelta(days=30),
comments=syn_test_helper.uniq_name(prefix='Comment'),
with_all=False,
with_data_collection=False,
with_emails=False):
if not config:
config = blank_daa_config
data_collection_name = None
emails = None
if with_data_collection or with_all:
project = syn_test_helper.create_project()
folder = syn_client.store(syn.Folder(name='Folder', parent=project))
collections = [
{"name": "Collection 1", "entities": [{"name": project.name, "id": project.id}]},
{"name": "Collection 2", "entities": [{"name": folder.name, "id": folder.id}]}
]
config['data_collections'] = collections
data_collection_name = collections[0]['name']
if with_emails or with_all:
emails = [mk_uniq_real_email(), mk_uniq_real_email()]
# Set the config in the Env so it's available to the service.
set_daa_config([config])
service = GrantDaaAccessService(config['id'],
team_name,
institution_name,
institution_short_name,
data_collection_name,
user_identifier,
agreement_url=agreement_url,
emails=emails,
start_date=start_date,
end_date=end_date,
comments=comments)
services.append(service)
return service
yield _mk
for service in services:
if service.team:
syn_test_helper.dispose_of(service.team)
@pytest.fixture
def assert_basic_service_success(syn_test_helper):
def _fn(service):
assert service.team is not None
assert len(service.errors) == 0
syn_test_helper.dispose_of(service.team)
yield _fn
@pytest.fixture
def assert_basic_service_errors(syn_test_helper):
def _fn(service):
assert len(service.errors) > 0
if service.team:
syn_test_helper.dispose_of(service.team)
yield _fn
def test_it_creates_the_team(mk_service, assert_basic_service_success):
service = mk_service()
assert service.execute() == service
assert_basic_service_success(service)
assert service.team.name == service.team_name
def test_it_does_not_create_duplicate_teams(mk_service, assert_basic_service_errors, syn_test_helper):
existing_team = syn_test_helper.create_team()
service = mk_service(team_name=existing_team.name)
assert service.execute() == service
assert_basic_service_errors(service)
assert service.team is None
assert len(service.errors) == 1
assert 'Error creating team:' in service.errors[0]
def test_it_assigns_the_team_to_the_synapse_entities_with_can_download_access(mk_service,
assert_basic_service_success,
syn_client):
service = mk_service(with_data_collection=True)
assert service.execute() == service
assert_basic_service_success(service)
assert service.data_collection is not None
for syn_id in [c['id'] for c in service.data_collection['entities']]:
syn_perms = syn_client.getPermissions(syn_id, principalId=service.team.id)
assert syn_perms
syn_perms.sort() == Synapse.CAN_DOWNLOAD_PERMS.sort()
def test_it_adds_managers_to_the_team(mk_service,
assert_basic_service_success,
syn_client,
blank_daa_config):
user_ids = [Env.Test.TEST_OTHER_SYNAPSE_USER_ID()]
blank_daa_config['team_manager_user_ids'] = user_ids
service = mk_service()
assert service.execute() == service
assert_basic_service_success(service)
syn_invites = syn_client.restGET('/team/{0}/openInvitation'.format(service.team.id))
invite_results = syn_invites.get('results')
assert len(invite_results) == len(user_ids)
for result in invite_results:
user_id = int(result.get('inviteeId'))
assert user_id in user_ids
team_acl = syn_client.restGET('/team/{0}/acl'.format(service.team.id))
acl_accesses = team_acl.get('resourceAccess')
for user_id in user_ids:
resource = next((r for r in acl_accesses if r['principalId'] == user_id))
assert resource.get('accessType').sort() == Synapse.TEAM_MANAGER_PERMS.sort()
def test_it_invites_the_emails_to_the_team(mk_service, assert_basic_service_success, syn_client):
service = mk_service(with_emails=True)
emails = service.emails
assert len(emails) >= 1
assert service.execute() == service
assert_basic_service_success(service)
syn_invites = syn_client.restGET('/team/{0}/openInvitation'.format(service.team.id))
assert syn_invites
invite_results = syn_invites.get('results')
assert len(invite_results) == len(emails)
for result in invite_results:
email = result.get('inviteeEmail')
assert email in emails
def test_it_writes_the_log_file_on_success(mk_service,
assert_basic_service_success,
syn_test_helper,
syn_client,
monkeypatch):
project = syn_test_helper.create_project()
folder = syn_client.store(syn.Folder(name='Synapse Admin Log', parent=project))
monkeypatch.setenv('SYNAPSE_SPACE_LOG_FOLDER_ID', folder.id)
service = mk_service(with_all=True)
assert service.institution_name is not None
assert service.institution_short_name is not None
assert service.data_collection_name is not None
assert len(service.emails) >= 1
assert service.agreement_url is not None
assert service.start_date is not None
assert service.end_date is not None
assert service.comments is not None
assert service.execute() == service
assert_basic_service_success(service)
files = list(Synapse.client().getChildren(folder))
assert len(files) == 1
file = Synapse.client().get(files[0]['id'])
assert file.name.endswith('_daa_grant_access.json')
with open(file.path, mode='r') as f:
jdata = json.loads(f.read())
jparms = jdata['parameters']
assert jparms['team_name'] == service.team_name
assert jparms['institution_name'] == service.institution_name
assert jparms['institution_short_name'] == service.institution_short_name
assert jparms['agreement_url'] == service.agreement_url
assert jparms['emails'] == service.emails
assert jparms['start_date'] == service.start_date.strftime('%Y-%m-%d')
assert jparms['end_date'] == service.end_date.strftime('%Y-%m-%d')
assert jparms['comments'] == service.comments
assert jparms['user'] == service.user_identifier
jteam = jdata['team']
assert jteam['id'] == service.team.id
assert jteam['name'] == service.team.name
jdc = jdata['data_collection']
assert jdc['name'] == service.data_collection['name']
assert jdc['entities'] == service.data_collection['entities']
def test_it_writes_the_log_file_on_failure(mk_service,
assert_basic_service_success,
syn_test_helper,
syn_client,
monkeypatch):
# TODO:
pass
def test_it_updates_the_access_agreement_table(mk_service,
assert_basic_service_success,
syn_test_helper,
syn_client,
blank_daa_config):
# Create a project with a table to update.
table_project = syn_test_helper.create_project()
cols = [
syn.Column(name='Organization', columnType='STRING', maximumSize=200),
syn.Column(name='Contact', columnType='STRING', maximumSize=200),
syn.Column(name='Synapse_Team_ID', columnType='INTEGER'),
syn.Column(name='Granted_Entity_IDs', columnType='STRING', maximumSize=1000),
syn.Column(name='Agreement_Link', columnType='LINK', maximumSize=1000),
syn.Column(name='Start_Date', columnType='DATE'),
syn.Column(name='End_Date', columnType='DATE'),
syn.Column(name='Comments', columnType='STRING', maximumSize=1000),
syn.Column(name='Test_Col_One', columnType='STRING', maximumSize=50),
syn.Column(name='Test_Col_Two', columnType='STRING', maximumSize=50)
]
schema = syn.Schema(name='KiData_Access_Agreements', columns=cols, parent=table_project)
syn_table = syn_client.store(schema)
blank_daa_config['agreement_table_id'] = syn_table.id
service = mk_service(with_all=True)
assert service.data_collection_name is not None
assert len(service.emails) >= 1
assert service.agreement_url is not None
assert service.start_date is not None
assert service.end_date is not None
assert service.comments is not None
assert service.execute() == service
assert_basic_service_success(service)
rows = list(syn_client.tableQuery(
"select {0} from {1}".format(', '.join([c['name'] for c in cols]), syn_table.id))
)
assert len(rows) == 1
row = rows[0]
assert row[2] == service.institution_name
assert row[3] == service.emails[0]
assert str(row[4]) == str(service.team.id)
assert row[5] == ', '.join('{0} ({1})'.format(c['id'], c['name']) for c in service.data_collection['entities'])
assert row[6] == service.agreement_url
assert row[7].strftime('%Y-%m-%d') == service.start_date.strftime('%Y-%m-%d')
assert row[8].strftime('%Y-%m-%d') == service.end_date.strftime('%Y-%m-%d')
assert row[9] == service.comments
def test_it_fails_if_the_access_agreement_table_does_not_have_the_required_columns(mk_service,
assert_basic_service_errors,
syn_test_helper,
syn_client,
blank_daa_config):
# Create a project with a table to update.
table_project = syn_test_helper.create_project()
cols = [
syn.Column(name=syn_test_helper.uniq_name(), columnType='STRING', maximumSize=200),
syn.Column(name=syn_test_helper.uniq_name(), columnType='STRING', maximumSize=200),
syn.Column(name=syn_test_helper.uniq_name(), columnType='STRING', maximumSize=200)
]
schema = syn.Schema(name='KiData_Access_Agreements', columns=cols, parent=table_project)
syn_table = syn_client.store(schema)
blank_daa_config['agreement_table_id'] = syn_table.id
service = mk_service()
assert service.execute() == service
assert_basic_service_errors(service)
assert service.errors
assert len(service.errors) == 1
assert 'Column: Organization does not exist in table' in service.errors[0]
###############################################################################
# Validations
###############################################################################
def test_validations_validate_team_name(syn_test_helper, syn_client):
existing_team = syn_test_helper.create_team(prefix='Team ')
# Wait for the team to be available from Synapse before checking.
tries = 0
while True:
tries += 1
try:
syn_client.getTeam(existing_team.name)
break
except ValueError:
if tries >= 10:
break
else:
time.sleep(3)
error = GrantDaaAccessService.Validations.validate_team_name(existing_team.name)
assert error == 'Team with name: "{0}" already exists.'.format(existing_team.name)
| 13,174 | 3,855 |
import numpy as np
# create J[k,h], the number of individuals in niche k on island h
def draw_J(K, JV):
# secondary parameters
H = len(JV) # number of islands
J = list()
for k in range(K):
J.append([])
for h in range(H):
Jkh_float = JV[h] / K # number of individuals that can fit
# treat the fractional component of Jkh_float probabilistically
Jkh, prob = (int(Jkh_float // 1), Jkh_float%1)
if np.random.rand() < prob:
Jkh += 1
J[k].append(Jkh)
return(J)
# create D[k,h], the number of founding individuals in each niche k on island h
def calculate_D(mV, TV, J):
# secondary parameters
K = len(J) # number of niches
H = len(J[0]) # number of islands
D = list()
for k in range(K):
D.append([])
for h in range(H):
T = TV[h]
m = mV[h]
if np.isinf(T):
# then there is only one founding individual
D[k].append(1)
else:
# need to calculate using Chen & Chen's formula
W = J[k][h] * m / (1-m) # Watterson's theta for the local community
alpha = T/2
beta = (W-1)*T/(2*J[k][h])
if 1 / (1 + np.exp(-beta)) == 1:
# avoid overflow warning when beta too large (approx beta > 37, np.exp(beta) > 1e16)
Dkh = 1
else:
Dkh = ( T*(W-1)/2 ) / ( alpha*(np.exp(beta)-1) + beta*np.exp(beta) )
# round it, and if it's less than 1, set it to 1
Dkh = int(round(Dkh))
Dkh = 1 if Dkh < 1 else Dkh
D[k].append(Dkh)
return(D)
# create a sample using my species generator
def draw_sample_species_generator(theta, mV, J, D):
# secondary parameters
K = len(J) # number of niches
H = len(J[0]) # number of islands
thetak = theta/K # fundamental biodiversity number per niche (assumes equal niches)
# rows are niches, index is species ID and value is the no. of times that species has immigrated
ancestors = list() # stores a_k
community = list() # stores n_{k,h,i}
# count how many ancestors sampled from each niche
no_ancestors = [ 0 for k in range(K) ] # l_k
for k in range(K): # for each niche
ancestors.append([])
community.append([])
for h in range(H): # for each island
community[k].append([ 0 for a_k in range(len(ancestors[k])) ])
Jkh = J[k][h] # how many individuals in niche k in island h
# deal with special case, if Jkh = 1, then is a new immigrant
# necessary bc if Jkh = 1, then I = 0, then I/(I+j) = nan
if Jkh == 1:
# has to be a new immigrant
if np.random.rand() < thetak / ( thetak + no_ancestors[k] ):
# the immigrant was a new species
ancestors[k].append(1)
community[k][h].append(1)
else:
# the immigrant was a species we've seen before
prob_i = [ ai / no_ancestors[k] for ai in ancestors[k] ]
i_star = np.random.choice( range(len(prob_i)), 1, p = prob_i )[0]
ancestors[k][i_star] += 1
community[k][h][i_star] += 1
# increment the ancestors counter
no_ancestors[k] += 1
else: # if Jkh > 1
# first, sample the individuals who were founders T generations ago, when island separated
# from mainland (or, if T = inf, then Dkh = 1, therefore just sample the first immigrant)
Dkh = D[k][h]
for j in range(Dkh):
if np.random.rand() < thetak / ( thetak + no_ancestors[k] ):
# the immigrant was a new species
ancestors[k].append(1)
community[k][h].append(1)
else:
# the immigrant was a species we've seen before
prob_i = [ ai / no_ancestors[k] for ai in ancestors[k] ]
i_star = np.random.choice( range(len(prob_i)), 1, p = prob_i )[0]
ancestors[k][i_star] += 1
community[k][h][i_star] += 1
# increment the ancestors counter
no_ancestors[k] += 1
# now sample the remainder of the individuals, who are a mix of descendants
# and immigrants
I = mV[h] * (Jkh-1) / (1-mV[h]) # Etienne's immigration parameter
for j in range(Dkh, Jkh):
if (np.random.rand() < I / (I+j)):
# we have drawn an immigrant
if np.random.rand() < thetak / ( thetak + no_ancestors[k] ):
# the immigrant was a new species
ancestors[k].append(1)
community[k][h].append(1)
else:
# the immigrant was a species we've seen before
prob_i = [ ai / no_ancestors[k] for ai in ancestors[k] ]
i_star = np.random.choice( range(len(prob_i)), 1, p = prob_i )[0]
ancestors[k][i_star] += 1
community[k][h][i_star] += 1
# increment the ancestors counter
no_ancestors[k] += 1
else:
# it's a birth-death
prob_i = [ ni / j for ni in community[k][h] ]
i_star = np.random.choice( range(len(prob_i)), 1, p = prob_i )[0]
community[k][h][i_star] += 1
return(ancestors, community)
| 6,048 | 1,869 |
""" Game fix for Watch_Dogs
"""
# pylint: disable=C0103
import subprocess
from protonfixes import util
from protonfixes import splash
def main():
""" Fix the in-game sound
"""
util.protontricks('xact')
util.protontricks('winxp')
info_popup()
@util.once
def info_popup():
""" Show info popup on first run
"""
zenity_bin = splash.sys_zenity_path()
if not zenity_bin:
return
# pylint: disable=C0301
zenity_cmd = ' '.join([
zenity_bin,
'--info',
'--text',
'"If the game does not run the first time and complains that the UPlay launcher\nis not compatible with the operating system: cancel and restart the game."',
'--no-wrap'])
subprocess.Popen(zenity_cmd, shell=True)
| 767 | 263 |
import collections
from abc import ABC, abstractmethod
from typing import TypeVar, Generic, Callable, OrderedDict, Collection, Any
from brigadier import Command, RedirectModifier
S = TypeVar('S')
# the class ouroboros keeps growing
class CommandNode(ABC, Generic[S]):
@abstractmethod
def is_valid_input(self, input: str) -> bool:
return False
@abstractmethod
def get_name(self) -> str:
return ""
@abstractmethod
def get_usage_text(self) -> str:
return ""
@abstractmethod
def parse(self, reader: StringReader, contextBuilder: CommandContextBuilder[S]) -> None:
return
@abstractmethod
async def list_suggestions(self, context: CommandContext[S], builder: SuggestionsBuilder) -> Suggestions :
return None
@abstractmethod
def create_builder(self) -> ArgumentBuilder[S, Any]:
return None
@abstractmethod
def get_sorted_key(self) -> str:
return ""
@abstractmethod
def get_examples(self) -> Collection[str]:
return []
class LiteralCommandNode(CommandNode):
pass
class ArgumentCommandNode(CommandNode):
pass
class RootCommandNode(CommandNode):
pass
class CommandNode(ABC, Generic[S]):
def __init__(self, command: Command[S], requirement: Callable[[S], bool], redirect: CommandNode[S],
modifier: RedirectModifier[S], forks: bool,
children: OrderedDict[str, CommandNode[S]] = collections.OrderedDict,
literals: OrderedDict[str, LiteralCommandNode[S]] = collections.OrderedDict,
arguments: OrderedDict[str, ArgumentCommandNode[S]] = collections.OrderedDict):
self.command = command
self.requirement = requirement
self.redirect = redirect
self.modifier = modifier
self.forks = forks
self.children = children
self.literals = literals
self.arguments = arguments
def get_children(self) -> Collection[CommandNode[S]]:
return self.children.values() # this is a subclass of Collection so it's ok but pycharm doesn't think so
def get_child(self, name: str) -> CommandNode[S]:
return self.children[name]
def can_use(self, source: S) -> bool:
return self.requirement(source)
def add_child(self, node: CommandNode[S]) -> None:
if isinstance(node, RootCommandNode):
raise TypeError('Cannot add a RootCommandNode as a child to any other CommandNode')
name = node.getName()
if name in self.children:
# We've found something to merge onto
child = self.children[name]
if node.command is not None:
child.command = node.command
for grandchild in node.children:
child.add_child(grandchild)
else:
self.children[name] = node
if isinstance(node, LiteralCommandNode):
self.literals[name] = node
elif isinstance(node, ArgumentCommandNode):
self.arguments[name] = node
# Note: Mojang has a cursed stream sort thing here but it's bad and useless
@abstractmethod
def is_valid_input(self, input: str) -> bool:
return False
@abstractmethod
def get_name(self) -> str:
return ""
@abstractmethod
def get_usage_text(self) -> str:
return ""
@abstractmethod
def parse(self, reader: StringReader, contextBuilder: CommandContextBuilder[S]) -> None:
return
@abstractmethod
async def list_suggestions(self, context: CommandContext[S], builder: SuggestionsBuilder) -> Suggestions:
return None
@abstractmethod
def create_builder(self) -> ArgumentBuilder[S, Any]:
return None
@abstractmethod
def get_sorted_key(self) -> str:
return ""
@abstractmethod
def get_examples(self) -> Collection[str]:
return []
| 3,928 | 1,082 |
from absl import app, flags, logging
from absl.flags import FLAGS
import cv2
import os
import numpy as np
import tensorflow as tf
import time
from PIL import Image
from modules.models import RetinaFaceModel
from modules.utils import (set_memory_growth, load_yaml, draw_bbox_landm,
pad_input_image, recover_pad_output,
get_bbox_imgs, get_one_image, get_faces)
flags.DEFINE_string('cfg_path', './configs/retinaface_res50.yaml',
'config file path')
flags.DEFINE_string('gpu', '0', 'which gpu to use')
flags.DEFINE_string('img_path', '', 'path to input image')
flags.DEFINE_boolean('webcam', False, 'get image source from webcam or not')
flags.DEFINE_float('iou_th', 0.4, 'iou threshold for nms')
flags.DEFINE_float('score_th', 0.5, 'score threshold for nms')
flags.DEFINE_float('down_scale_factor', 1.0, 'down-scale factor for inputs')
def main(_argv):
# init
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
os.environ['CUDA_VISIBLE_DEVICES'] = FLAGS.gpu
logger = tf.get_logger()
logger.disabled = True
logger.setLevel(logging.FATAL)
set_memory_growth()
cfg = load_yaml(FLAGS.cfg_path)
# define network
model = RetinaFaceModel(cfg, training=False, iou_th=FLAGS.iou_th, score_th=FLAGS.score_th)
# load checkpoint
checkpoint_dir = './checkpoints/' + cfg['sub_name']
checkpoint = tf.train.Checkpoint(model=model)
if tf.train.latest_checkpoint(checkpoint_dir):
checkpoint.restore(tf.train.latest_checkpoint(checkpoint_dir))
#print("[*] load ckpt from {}.".format(tf.train.latest_checkpoint(checkpoint_dir)))
else:
print("[*] Cannot find ckpt from {}.".format(checkpoint_dir))
exit()
if not os.path.exists(FLAGS.img_path):
print(f"cannot find image path from {FLAGS.img_path}")
exit()
print("[*] Processing on single image {}".format(FLAGS.img_path))
img_raw = cv2.imread(FLAGS.img_path)
img_height_raw, img_width_raw, _ = img_raw.shape
img = np.float32(img_raw.copy())
if FLAGS.down_scale_factor < 1.0:
img = cv2.resize(img, (0, 0), fx=FLAGS.down_scale_factor, fy=FLAGS.down_scale_factor, interpolation=cv2.INTER_LINEAR)
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# pad input image to avoid unmatched shape problem
img, pad_params = pad_input_image(img, max_steps=max(cfg['steps']))
# run model
outputs = model(img[np.newaxis, ...]).numpy()
# recover padding effect
outputs = recover_pad_output(outputs, pad_params)
# draw and save results
imgs = []
DIM = 64;
save_img_path = os.path.join('data/out_' + os.path.basename(FLAGS.img_path))
for prior_index in range(9):
if(prior_index < len(outputs)):
img = get_bbox_imgs(img_raw, outputs[prior_index], img_height_raw, img_width_raw)
img = cv2.resize(img, (DIM, DIM))
imgs.append(img)
else:
imgs.append(Image.new('RGB', (DIM, DIM)))
imga = imgs[0]
for img in imgs[1:3]:
imga = np.concatenate((imga, img), axis=1)
imgb = imgs[3]
for img in imgs[4:6]:
imgb = np.concatenate((imgb, img), axis=1)
imgf = np.concatenate((imga, imgb), axis=0)
imgc = imgs[6]
for img in imgs[7:9]:
imgc = np.concatenate((imgc, img), axis=1)
imgf = np.concatenate((imgf, imgc), axis=0)
cv2.imwrite(save_img_path, imgf)
print(f"[*] save result at {save_img_path}")
if __name__ == '__main__':
try:
app.run(main)
except SystemExit:
pass
| 3,564 | 1,327 |
from .resource import ValveCompiledResource
from .vphys import ValveCompiledPhysics
from .vmat import ValveCompiledMaterial
from .vtex import ValveCompiledTexture
from .vmdl import ValveCompiledModel
from .vwrld import ValveCompiledWorld
from .vmorf import ValveCompiledMorph
from .vrman import ValveCompiledResourceManifest
def get_resource_loader_from_ext(ext: str):
if ext == '.vmdl_c':
return ValveCompiledModel
elif ext == '.vwrld_c':
return ValveCompiledWorld
elif ext == '.vtex_c':
return ValveCompiledTexture
elif ext == '.vphys_c':
return ValveCompiledPhysics
elif ext == '.vrman_c':
return ValveCompiledResourceManifest
elif ext == '.vmat_c':
return ValveCompiledMaterial
else:
return ValveCompiledResource
| 803 | 243 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
b2ac.compat
~~~~~~~~~~~
B2AC compatiblity module.
"""
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import absolute_import
import sys
is_py3 = (sys.version_info[0] > 2)
# Py3 mappings
if is_py3:
xrange = range
| 351 | 135 |
#!/usr/bin/env python3
n, *a = map(int, open(0).read().split())
from itertools import*
*S, = accumulate(a)
*M, = accumulate(S, max)
Z = ans = 0
for s, m in zip(S, M):
ans = max(ans, Z + m)
Z += s
print(ans) | 214 | 96 |
class SoundError(Exception):
pass
class WavePlayError(Exception):
pass
class ArgumentError(Exception):
pass
class PlayerError(Exception):
pass
class PlayerMciError(Exception):
pass
| 209 | 63 |
import functools
def adageop(func):
"""
Decorator that adds a 's' attribute to a function
The attribute can be used to partially define
the function call, except for the 'adageobj'
keyword argument, the return value is a
single-argument ('adageobj') function
"""
def partial(*args,**kwargs):
return functools.partial(func,*args,**kwargs)
func.s = partial
return func
class Rule(object):
def __init__(self,predicate,body):
self.predicate = predicate
self.body = body
def applicable(self,adageobj):
return self.predicate(adageobj)
def apply(self,adageobj):
return self.body(adageobj = adageobj)
def adagetask(func):
"""
Decorator that adds a 's' attribute to a function
The attribute can be used to fully define a function
call to be executed at a later time. The result
will be a zero-argument callable
"""
try:
from celery import shared_task
func.celery = shared_task(func)
except ImportError:
pass
def partial(*args,**kwargs):
return functools.partial(func,*args,**kwargs)
func.s = partial
return func
def callbackrule(after = None):
"""
A decorator that creates a adage Rule from a callback function
The after argument is expected to container a dictionary
of node identifiers. The callback is expected have two arguments
A dictionary with the same keys as in after as keys, and the
corresponding nodes as values, as well as the adajeobj will be
passed to the callback
"""
after = after or {}
def decorator(func):
def predicate(adageobj):
return all([adageobj.dag.getNode(node).successful() for node in after.values()])
def body(adageobj):
depnodes = {k:adageobj.dag.getNode(v) for k,v in after.items()}
func(depnodes = depnodes, adageobj = adageobj)
return Rule(predicate,body)
return decorator
| 1,978 | 560 |
import sys
import getpass
from keepassxc_pwned import check_password
pw = getpass.getpass("Password to check: ")
count = check_password(pw)
if count > 0:
print("Found password {} times!".format(count))
sys.exit(1)
else:
print("Could not find that password in the dataset.")
sys.exit(0)
| 300 | 100 |
from __future__ import unicode_literals
import django
from django.test import TestCase
from job.configuration.results.results_manifest.results_manifest import ResultsManifest
from job.configuration.results.exceptions import InvalidResultsManifest, \
MissingRequiredOutput
class TestResultsManifestConstructor(TestCase):
def setUp(self):
django.setup()
def test_empty_results_manifest(self):
json_manifest = {}
#This should not throw an exception since it is valid
ResultsManifest(json_manifest)
def test_manifest_support_simple_file(self):
json_manifest = {
"version": "1.0",
"files": [
{"name":"foo", "path":"nfs:server//myfile.txt"}
]
}
try:
#This should not throw an exception since it is valid
ResultsManifest(json_manifest)
except InvalidResultsManifest:
self.fail('This simple json_manifest is valid')
def test_manifest_supports_file_with_paths(self):
json_manifest = {
"version": "1.0",
"files": [
{"name":"foo", "paths":["nfs:server//myfile.txt"]}
]
}
try:
#This should not throw an exception since it is valid
ResultsManifest(json_manifest)
except InvalidResultsManifest:
self.fail('This simple json_manifest is valid')
def test_invalid_results_manifest(self):
json_manifest = {
"version": "1.0",
"files": [
{"name":"foo", "path":"nfs:server//myfile.txt", "paths": ["nfs:server//why_do_i_have_path_and_paths"]}
]
}
try:
ResultsManifest(json_manifest)
self.fail('files in a results manifest should not have both path and paths')
except InvalidResultsManifest:
#This should throw an exception since it is invalid
pass
def test_manifest_version_1_1(self):
json_manifest = {
"version": "1.1",
"output_data": [
{
"name" : "output_file",
"file": {
"path" : "/tmp/job_exe_231/outputs/output.csv",
"geo_metadata": {
"data_started": "2015-05-15T10:34:12Z",
"data_ended" : "2015-05-15T10:36:12Z",
"geo_json": {
"type": "Polygon",
"coordinates": [ [ [ 1.0, 10.0 ], [ 2.0, 10.0 ], [ 2.0, 20.0 ],[ 1.0, 20.0 ], [ 1.0, 10.0 ] ] ]
}
}
}
},
{
"name" : "output_files",
"files": [
{
"path" : "/tmp/job_exe_231/outputs/output.csv",
"geo_metadata": {
"data_started": "2015-05-15T10:34:12Z",
"data_ended" : "2015-05-15T10:36:12Z",
"geo_json": {
"type": "Polygon",
"coordinates": [ [ [ 1.0, 10.0 ], [ 2.0, 10.0 ], [ 2.0, 20.0 ],[ 1.0, 20.0 ], [ 1.0, 10.0 ] ] ]
}
}
},
{
"path" : "/tmp/job_exe_231/outputs/output2.csv"
}
]
}
],
"parse_results": [
{
"filename" : "myfile.h5",
"data_started" : "2015-05-15T10:34:12Z",
"data_ended" : "2015-05-15T10:36:12Z",
"data_types" : ["H5", "VEG"]
}
]
}
manifest = ResultsManifest(json_manifest)
class TestResultsManifestValidation(TestCase):
def test_simple_validation(self):
json_manifest = {
"version": "1.0",
"files": [
{"name":"foo", "path":"nfs:server//myfile.txt"}
]
}
input_files = {
"input_file": False
}
output_files = {
"foo": (False, True)
}
manifest = ResultsManifest(json_manifest)
manifest.validate(output_files)
def test_simple_validation_1_1(self):
json_manifest = {
"version": "1.1",
"output_data": [
{
"name" : "output_file",
"file": {
"path" : "/tmp/job_exe_231/outputs/output.csv",
"geo_metadata": {
"data_started": "2015-05-15T10:34:12Z",
"data_ended" : "2015-05-15T10:36:12Z",
"geo_json": {
"type": "Polygon",
"coordinates": [ [ [ 1.0, 10.0 ], [ 2.0, 10.0 ], [ 2.0, 20.0 ],[ 1.0, 20.0 ], [ 1.0, 10.0 ] ] ]
}
}
}
}
]
}
input_files = {
"input_file": False
}
output_files = {
"output_file": (False, True)
}
manifest = ResultsManifest(json_manifest)
manifest.validate(output_files)
def test_output_does_not_match(self):
json_manifest = {
"version": "1.0",
"files": [
{"name":"foo", "path":"nfs:server//myfile.txt"}
]
}
input_files = {
"input_file": False
}
output_files = {
"bar": (False, True)
}
manifest = ResultsManifest(json_manifest)
try:
manifest.validate(output_files)
self.fail('The outputs do not match the manifest, there should be a failure')
except MissingRequiredOutput:
pass
def test_missing_optional_is_ok(self):
json_manifest = {
"version": "1.0",
"files": [
{"name":"foo", "path":"nfs:server//myfile.txt"}
]
}
input_files = {
"input_file": False
}
output_files = {
"foo": (False, True),
"bar": (False, False) #This is an optional file
}
manifest = ResultsManifest(json_manifest)
try:
manifest.validate(output_files)
except MissingRequiredOutput:
self.fail('The missing an optional file')
def test_missing_required_is_bad(self):
json_manifest = {
"version": "1.0",
"files": [
{"name":"foo", "path":"nfs:server//myfile.txt"}
]
}
input_files = {
"input_file": False
}
output_files = {
"foo": (False, True),
"bar": (False, True) #This is a missing required file
}
manifest = ResultsManifest(json_manifest)
try:
manifest.validate(output_files)
self.fail('There is a missing required file. Validation should have failed')
except MissingRequiredOutput:
pass
class TestResultsManifestConversion(TestCase):
def test_convert_1_0_to_1_1(self):
json_manifest = {
"version": "1.0",
"files": [
{"name" : "output_file", "path" : "/tmp/job_exe_231/outputs/output.csv"},
{"name": "output_files", "paths": ["/tmp/job_exe_231/outputs/output.csv", "/tmp/job_exe_231/outputs/output2.csv"]}
],
"parse_results": [
{
"filename" : "myfile.h5",
"data_started" : "2015-05-15T10:34:12Z",
"data_ended" : "2015-05-15T10:36:12Z",
"data_types" : ["H5", "VEG"]
}
],
"errors": []
}
new_format = {
"version": "1.1",
"output_data": [
{
"name" : "output_file",
"file": {
"path" : "/tmp/job_exe_231/outputs/output.csv"
}
},
{
"name" : "output_files",
"files": [
{
"path" : "/tmp/job_exe_231/outputs/output.csv"
},
{
"path" : "/tmp/job_exe_231/outputs/output2.csv"
}
]
}
],
"parse_results": [
{
"filename" : "myfile.h5",
"data_started" : "2015-05-15T10:34:12Z",
"data_ended" : "2015-05-15T10:36:12Z",
"data_types" : ["H5", "VEG"]
}
],
"errors": []
}
manifest = ResultsManifest(json_manifest)
converted = manifest._convert_schema(json_manifest)
self.assertEqual(converted, new_format)
| 9,318 | 2,764 |
# -*- coding: utf-8 -*-
# _ __
# | |/ /___ ___ _ __ ___ _ _ ®
# | ' </ -_) -_) '_ \/ -_) '_|
# |_|\_\___\___| .__/\___|_|
# |_|
#
# Keeper Commander
# Copyright 2022 Keeper Security Inc.
# Contact: ops@keepersecurity.com
#
from typing import Optional, Callable, Iterator, List, Iterable, Tuple
import argparse
import logging
import io
import os
import re
import shutil
import sys
import tempfile
from .base import Command, dump_report_data
from .ssh_agent import add_ssh_key, SshAgentCommand
from .record import find_record, RecordListCommand
from ..attachment import prepare_attachment_download
from ..params import KeeperParams
from ..subfolder import find_folders, get_folder_path, try_resolve_path
from ..vault import TypedRecord, KeeperRecord, PasswordRecord
from ..vault_extensions import SshKeysFacade
ssh_parser = argparse.ArgumentParser(prog='ssh',
description='Establishes connection to external server using SSH. ')
ssh_parser.add_argument('record', nargs='?', type=str, action='store',
help='record path or UID. Record types: "SSH Key", "Server"')
ssh_parser.add_argument('destination', nargs='?', type=str, action='store',
metavar='LOGIN@HOST[:PORT]', help='Optional. SSH endpoint')
mysql_parser = argparse.ArgumentParser(prog='mysql', description='Establishes connection to MySQL server.')
mysql_parser.add_argument('record', nargs='?', type=str, action='store',
help='record path or UID. Record types: "Database"')
postgres_parser = argparse.ArgumentParser(prog='postgresql',
description='Establishes connection to Postgres/Redshift servers.')
postgres_parser.add_argument('record', nargs='?', type=str, action='store',
help='record path or UID. Record types: "Database"')
postgres_parser.add_argument('database', nargs='?', type=str, action='store',
help='Postgres database name.')
rdp_parser = argparse.ArgumentParser(prog='rdp',
description='Establishes RDP connection to remote Windows servers.')
rdp_parser.add_argument('record', nargs='?', type=str, action='store',
help='record path or UID. Record types: "Server"')
connect_parser = argparse.ArgumentParser(prog='connect', description='Establishes connection to external server')
connect_parser.add_argument('--syntax-help', dest='syntax_help', action='store_true',
help='display help on command format and template parameters')
connect_parser.add_argument('-n', '--new', dest='new_data', action='store_true', help='request per-user data')
connect_parser.add_argument('-s', '--sort', dest='sort_by', action='store', choices=['endpoint', 'title', 'folder'],
help='sort output')
connect_parser.add_argument('-f', '--filter', dest='filter_by', action='store', help='filter output')
connect_parser.add_argument('endpoint', nargs='?', action='store', type=str,
help='endpoint name or full record path to endpoint')
mysql = ''
postgresql = ''
endpoint_parameter_pattern = re.compile(r'\${(.+?)}')
def detect_clients():
global mysql, postgresql
if shutil.which('mysql'):
mysql = 'mysql'
if shutil.which('pgcli'):
postgresql = 'pgcli'
elif shutil.which('psql'):
postgresql = 'psql'
detect_clients()
def connect_commands(commands):
commands['ssh-agent'] = SshAgentCommand()
commands['connect'] = ConnectCommand()
commands['ssh'] = ConnectSshCommand()
if mysql:
commands['mysql'] = ConnectMysqlCommand()
if postgresql:
commands['postgresql'] = ConnectPostgresCommand()
if sys.platform == 'win32':
commands['rdp'] = ConnectRdpCommand()
def connect_command_info(aliases, command_info):
command_info[connect_parser.prog] = connect_parser.description
command_info[ssh_parser.prog] = ssh_parser.description
if mysql:
command_info['mysql'] = mysql_parser.description
if postgresql:
command_info['postgresql'] = postgres_parser.description
aliases['pg'] = 'postgresql'
if sys.platform == 'win32':
command_info['rdp'] = rdp_parser.description
class BaseConnectCommand(Command):
def __init__(self):
super(BaseConnectCommand, self).__init__()
self.command = ''
self.run_at_the_end = []
def support_extra_parameters(self):
return True
SHELL_SUBSTITUTION = {
'`': r'\`',
'$': r'\$',
'?': r'\?',
'*': r'\*',
'^': r'\^',
'(': r'\(',
')': r'\)'
}
def execute_shell(self):
logging.debug('Executing "%s" ...', self.command)
try:
command = self.command.translate(str.maketrans(BaseConnectCommand.SHELL_SUBSTITUTION))
os.system(command)
finally:
self.command = ''
for cb in self.run_at_the_end:
try:
cb()
except Exception as e:
logging.debug(e)
self.run_at_the_end.clear()
def get_extra_options(self, params, record, application):
# type: (KeeperParams, KeeperRecord, str) -> str
record_options = BaseConnectCommand.get_custom_field(record, f'{application}:option')
if record_options:
temp_files = []
record_options = BaseConnectCommand.get_command_string(params, record, record_options, temp_files)
if temp_files:
def remove_files():
for file in temp_files:
os.remove(file)
self.run_at_the_end.append(remove_files)
options = ''
if record_options:
options += f' {record_options}'
if self.extra_parameters:
options += f' {self.extra_parameters}'
return options
@staticmethod
def get_record(params, record, types): # type: (KeeperParams, str, Iterator[str]) -> Optional[TypedRecord]
if not record:
ls = RecordListCommand()
ls.execute(params, record_type=types, verbose=True)
return
try:
record = find_record(params, record)
except Exception as e:
logging.warning(e)
return
if not isinstance(record, TypedRecord):
logging.warning('Only typed records are supported')
return
if record.record_type not in types:
logging.warning('Command supports %s records only', ' and '.join(types))
return
return record
@staticmethod
def get_custom_field(record, field_name): # type: (KeeperRecord, str) -> str
if isinstance(record, PasswordRecord):
return next((x.value for x in record.custom if field_name.lower() == x.name.lower()), None)
if isinstance(record, TypedRecord):
return next((x.get_default_value(str) for x in record.custom
if (x.type or 'text') == 'text' and field_name.lower() == (x.label or '').lower()), None)
@staticmethod
def get_record_field(record, field_name): # type: (KeeperRecord, str) -> str
if isinstance(record, PasswordRecord):
if field_name == 'login':
return record.login
if field_name == 'password':
return record.password
if field_name == 'url':
return record.link
elif isinstance(record, TypedRecord):
if field_name in {'hostname', 'port'}:
field = record.get_typed_field('host')
else:
field = record.get_typed_field(field_name)
if field:
value = field.get_default_value()
if isinstance(value, str):
return value
if isinstance(value, dict):
if field_name in {'host', 'hostname', 'port'}:
host_name = value.get('hostName') or ''
port = value.get('port') or ''
if field_name == 'hostname':
return host_name
if field_name == 'port':
return port
if port:
return f'{host_name}:{port}'
return host_name
return ''
return BaseConnectCommand.get_custom_field(record, f'cmdr:{field_name}')
@staticmethod
def get_parameter_value(params, record, parameter, temp_files, **kwargs):
# type: (KeeperParams, KeeperRecord, str, list, ...) -> Optional[str]
if parameter.startswith('file:') or parameter.startswith('body:'):
file_name = parameter[5:]
attachments = list(prepare_attachment_download(params, record.record_uid, file_name))
if len(attachments) == 0:
logging.warning('Attachment file \"%s\" not found', file_name)
return None
if len(attachments) > 1:
logging.warning('More than one attachment file \"%s\" found', file_name)
return None
if parameter.startswith('file:'):
prefix = (kwargs.get('endpoint') or file_name) + '.'
with tempfile.NamedTemporaryFile(delete=False, prefix=prefix) as tf:
attachments[0].download_to_stream(params, tf)
temp_files.append(tf.name)
return tf.name
else:
with io.BytesIO() as mem:
attachments[0].download_to_stream(params, mem)
return mem.getvalue().decode('utf-8')
else:
return BaseConnectCommand.get_record_field(record, parameter)
@staticmethod
def get_command_string(params, record, template, temp_files, **kwargs):
# type: (KeeperParams, KeeperRecord, str, list, ...) -> str or None
command = template
while True:
m = endpoint_parameter_pattern.search(command)
if not m:
break
p = m.group(1)
pv = BaseConnectCommand.get_parameter_value(params, record, p, temp_files, **kwargs)
command = command[:m.start()] + (pv or '') + command[m.end():]
return command
class ConnectSshCommand(BaseConnectCommand):
def get_parser(self):
return ssh_parser
def execute(self, params, **kwargs):
name = kwargs['record'] if 'record' in kwargs else None
record = self.get_record(params, name, ['sshKeys', 'serverCredentials'])
if not record:
return
dst = kwargs.get('destination', '')
if dst:
login, at, host = dst.partition('@')
if at != '@':
logging.warning('Destination parameter should be LOGIN@HOST[:PORT]')
return
else:
login = BaseConnectCommand.get_record_field(record, 'login')
host = BaseConnectCommand.get_record_field(record, 'host')
if not login:
logging.warning('Record "%s" does not have login.', record.title)
return
if not host:
logging.warning('Record "%s" does not have host.', record.title)
return
host_name, _, port = host.partition(':')
self.run_at_the_end.clear()
options = self.get_extra_options(params, record, 'ssh')
self.command = f'ssh{options} {login}@{host_name}'
if port:
self.command += f' -p {port}'
if record.record_type == 'sshKeys':
facade = SshKeysFacade()
facade.assign_record(record)
private_key = facade.private_key
if not facade.private_key:
logging.warning('Record "%s" does not have private key.', record.title)
return
passphrase = facade.passphrase
if not passphrase:
passphrase = None
to_remove = add_ssh_key(private_key=private_key, passphrase=passphrase, key_name=record.title)
if to_remove:
self.run_at_the_end.append(to_remove)
else:
password = BaseConnectCommand.get_record_field(record, 'password')
if password:
if shutil.which('sshpass'):
self.command = 'sshpass -e ' + self.command
os.putenv('SSHPASS', password)
def clear_env():
os.putenv('SSHPASS', '')
self.run_at_the_end.append(clear_env)
else:
self.command += ' -o PubkeyAuthentication=no'
try:
import pyperclip
pyperclip.copy(password)
logging.info('\nPassword is copied to clipboard\n')
def clear_clipboard():
txt = pyperclip.paste()
if txt == password:
pyperclip.copy('')
self.run_at_the_end.append(clear_clipboard)
except Exception as e:
logging.debug(e)
logging.info('Failed to copy password to clipboard')
logging.info('Connecting to "%s" ...', record.title)
self.execute_shell()
class ConnectMysqlCommand(BaseConnectCommand):
def get_parser(self):
return mysql_parser
def execute(self, params, **kwargs):
name = kwargs['record'] if 'record' in kwargs else None
record = self.get_record(params, name, ['databaseCredentials', 'serverCredentials'])
if not record:
return
login = BaseConnectCommand.get_record_field(record, 'login')
if not login:
logging.warning('Record "%s" does not have login.', record.title)
return
host = BaseConnectCommand.get_record_field(record, 'host')
if not host:
logging.warning('Record "%s" does not have host.', record.title)
return
host_name, _, port = host.partition(':')
self.run_at_the_end.clear()
options = self.get_extra_options(params, record, 'mysql')
self.command = f'mysql{options}'
self.command += f' --host {host_name} --user {login}'
if port:
self.command += f' --port {port}'
password = BaseConnectCommand.get_record_field(record, 'password')
if password:
os.putenv('MYSQL_PWD', password)
def clear_env():
os.putenv('MYSQL_PWD', '')
self.run_at_the_end.append(clear_env)
logging.info('Connecting to "%s" ...', record.title)
self.execute_shell()
class ConnectPostgresCommand(BaseConnectCommand):
def get_parser(self):
return postgres_parser
def execute(self, params, **kwargs):
name = kwargs['record'] if 'record' in kwargs else None
record = self.get_record(params, name, ['databaseCredentials', 'serverCredentials'])
if not record:
return
login = BaseConnectCommand.get_record_field(record, 'login')
if not login:
logging.warning('Record "%s" does not have user name.', record.title)
return
host = BaseConnectCommand.get_record_field(record, 'host')
if not host:
logging.warning('Record "%s" does not have host.', record.title)
return
host_name, _, port = host.partition(':')
database = kwargs.get('database')
if not database:
database = BaseConnectCommand.get_custom_field(record, 'database')
if not database:
database = 'template1'
logging.info(f'\nConnecting to the default database: {database}\n')
self.command = f'{postgresql} {self.extra_parameters} -h {host_name}'
if port:
self.command += f' -p {port}'
self.command += f' -U {login} -w {database}'
self.run_at_the_end.clear()
password = BaseConnectCommand.get_record_field(record, 'password')
if password:
os.putenv('PGPASSWORD', password)
def clear_env():
os.putenv('PGPASSWORD', '')
self.run_at_the_end.append(clear_env)
logging.info('Connecting to "%s" ...', record.title)
self.execute_shell()
class ConnectRdpCommand(BaseConnectCommand):
def get_parser(self):
return rdp_parser
def execute(self, params, **kwargs):
name = kwargs['record'] if 'record' in kwargs else None
record = self.get_record(params, name, ['serverCredentials'])
if not record:
return
login = BaseConnectCommand.get_record_field(record, 'login')
if not login:
logging.warning('Record "%s" does not have user name.', record.title)
return
host = BaseConnectCommand.get_record_field(record, 'host')
if not host:
logging.warning('Record "%s" does not have host.', record.title)
return
host_name, _, port = host.partition(':')
password = BaseConnectCommand.get_record_field(record, 'password')
if password:
os.system(f'cmdkey /generic:{host_name} /user:{login} /pass:{password} > NUL')
def clear_password():
os.system(f'cmdkey /delete:{host_name} > NUL')
self.run_at_the_end.append(clear_password)
self.command = f'mstsc /v:{host_name}'
if port:
self.command += ':' + port
logging.info('Connecting to "%s" ...', record.title)
self.execute_shell()
connect_command_description = '''
Connect Command Syntax Description:
This command reads the custom fields for names starting with "connect:"
connect:<name> command
connect:<name>:description command description
connect:<name>:ssh-key:<key-comment> ssh private key to add to ssh-agent
connect:<name>:env:<Environment Variable To Set> sets environment variable
Connection command may contain template parameters.
Parameter syntax is ${<parameter_name>}
Supported parameters:
${user_email} Keeper user email address
${login} Record login
${password} Record password
${file:<attachment_name>} stores attachment into temporary file. parameter is replaced with temp file name
${body:<attachment_name>} content of the attachment file.
${<custom_field_name>} custom field value
SSH Example:
Title: SSH to my Server via Gateway
Custom Field 1 Name: connect:my_server:description
Custom Field 1 Value: Production Server Inside Gateway
Custom Field 2 Name: connect:my_server
Custom Field 2 Value: ssh -o "ProxyCommand ssh -i ${file:gateway.pem} ec2-user@gateway.mycompany.com -W %h:%p" -i ${file:server.pem} ec2-user@server.company.com
File Attachments:
gateway.pem
server.pem
To initiate connection: "connect my_server"
Connect to Postgres Example:
Title: Postgres
Login: PGuser
Password: **************
Custom Field 1 Name: connect:postgres
Custom Field 1 Value: psql --host=11.22.33.44 --port=3306 --username=${login} --dbname=postgres --no-password
Custom Field 2 Name: connect:postgres:env:PGPASSWORD
Custom Field 2 Value: ${password}
To initiate connection: "connect postgres"
'''
endpoint_pattern = re.compile(r'^connect:([^:]+)$')
endpoint_desc_pattern = re.compile(r'^connect:([^:]+):description$')
class ConnectEndpoint:
def __init__(self, name, description, record_uid, record_title, paths):
self.name = name # type: str
self.description = description # type: str
self.record_uid = record_uid # type: str
self.record_title = record_title # type: str
self.paths = paths # type: list
class ConnectCommand(BaseConnectCommand):
LastRevision = 0 # int
Endpoints = [] # type: [ConnectEndpoint]
def get_parser(self):
return connect_parser
def execute(self, params, **kwargs):
if kwargs.get('syntax_help'):
logging.info(connect_command_description)
return
ConnectCommand.find_endpoints(params)
endpoint = kwargs.get('endpoint')
if endpoint:
endpoints = [x for x in ConnectCommand.Endpoints if x.name == endpoint]
if not endpoints:
rpos = endpoint.rfind(':')
if rpos > 0:
try_path = endpoint[:rpos]
endpoint_name = endpoint[rpos+1:]
else:
try_path = endpoint
endpoint_name = ''
record_uid = ''
if try_path in params.record_cache:
record_uid = try_path
else:
rs = try_resolve_path(params, try_path)
if rs is not None:
folder, title = rs
if folder is not None and title is not None:
folder_uid = folder.uid or ''
if folder_uid in params.subfolder_record_cache:
for uid in params.subfolder_record_cache[folder_uid]:
r = KeeperRecord.load(params, uid)
if r.title.lower() == title.lower():
record_uid = uid
break
if record_uid:
endpoints = [x for x in ConnectCommand.Endpoints
if x.record_uid == record_uid and endpoint_name in {'', x.name}]
if len(endpoints) > 0:
if len(endpoints) == 1:
record = KeeperRecord.load(params, endpoints[0].record_uid)
self.connect_endpoint(params, endpoints[0].name, record)
else:
logging.warning("Connect endpoint '%s' is not unique", endpoint)
ConnectCommand.dump_endpoints(endpoints)
logging.info("Use full endpoint path: /<Folder>/<Title>[:<Endpoint>]")
folder = endpoints[0].paths[0] if len(endpoints[0].paths) > 0 else '/'
logging.info('Example: connect "%s/%s:%s"', folder, endpoints[0].record_title, endpoints[0].name)
else:
logging.info("Connect endpoint '%s' not found", endpoint)
else:
if ConnectCommand.Endpoints:
sorted_by = kwargs.get('sort_by') or 'endpoint'
filter_by = kwargs.get('filter_by') or ''
logging.info("Available connect endpoints")
if filter_by:
logging.info('Filtered by "%s"', filter_by)
filter_by = filter_by.lower()
ConnectCommand.dump_endpoints(ConnectCommand.Endpoints, filter_by, sorted_by)
else:
logging.info("No connect endpoints found")
return
@staticmethod
def dump_endpoints(endpoints, filter_by='', sorted_by=''):
logging.info('')
headers = ['Endpoint', 'Description', 'Record Title', 'Folder(s)']
table = []
for endpoint in endpoints:
title = endpoint.record_title
folder = endpoint.paths[0] if len(endpoint.paths) > 0 else '/'
if filter_by:
if not any([x for x in [endpoint.name.lower(), title.lower(), folder.lower()] if x.find(filter_by) >= 0]):
continue
if len(title) > 23:
title = title[:20] + '...'
table.append([endpoint.name, endpoint.description or '', title, folder])
table.sort(key=lambda x: x[3] if sorted_by == 'folder' else x[2] if sorted_by == 'title' else x[0])
dump_report_data(table, headers, row_number=True)
@staticmethod
def find_endpoints(params): # type: (KeeperParams) -> None
if ConnectCommand.LastRevision < params.revision:
ConnectCommand.LastRevision = params.revision
ConnectCommand.Endpoints.clear()
for record_uid in params.record_cache:
record = KeeperRecord.load(params, record_uid)
endpoints = []
endpoints_desc = {}
if isinstance(record, PasswordRecord):
for field in record.custom:
m = endpoint_pattern.match(field.name)
if m:
endpoints.append(m[1])
else:
m = endpoint_desc_pattern.match(field.name)
if m:
endpoints_desc[m[1]] = field.value or ''
elif isinstance(record, TypedRecord):
for field in record.custom:
if field.type and field.type != 'text':
continue
m = endpoint_pattern.match(field.label)
if m:
endpoints.append(m[1])
else:
m = endpoint_desc_pattern.match(field.label)
if m:
endpoints_desc[m[1]] = field.get_default_value(str) or ''
if endpoints:
paths = []
for folder_uid in find_folders(params, record_uid):
path = '/' + get_folder_path(params, folder_uid, '/')
paths.append(path)
for endpoint in endpoints:
epoint = ConnectEndpoint(endpoint, endpoints_desc.get(endpoint) or '', record_uid, record.title, paths)
ConnectCommand.Endpoints.append(epoint)
ConnectCommand.Endpoints.sort(key=lambda x: x.name)
@staticmethod
def get_fields_by_patters(record, pattern): # type: (KeeperRecord, str) -> Iterable[Tuple[str, str]]
if isinstance(record, PasswordRecord):
return ((x.name, x.value) for x in record.custom if x.name.lower().startswith(pattern))
if isinstance(record, TypedRecord):
return ((x.label, x.get_default_value()) for x in record.custom
if (x.type or 'text') == 'text' and (x.label or '').lower().startswith(pattern))
@staticmethod
def add_ssh_keys(params, endpoint, record, temp_files):
# type: (KeeperParams, str, KeeperRecord, List[str]) -> Iterable[Callable]
key_prefix = f'connect:{endpoint}:ssh-key'
for cf_name, cf_value in ConnectCommand.get_fields_by_patters(record, key_prefix):
key_name = cf_name[len(key_prefix)+1:] or 'Commander'
parsed_values = []
while True:
m = endpoint_parameter_pattern.search(cf_value)
if not m:
break
p = m.group(1)
val = ConnectCommand.get_parameter_value(params, record, p, temp_files)
if not val:
raise Exception(f'Add ssh-key. Failed to resolve key parameter: {p}')
parsed_values.append(val)
cf_value = cf_value[m.end():]
if len(parsed_values) > 0:
cf_value = cf_value.strip()
if cf_value:
parsed_values.append(cf_value)
to_delete = add_ssh_key(parsed_values[0], parsed_values[1] if len(parsed_values) > 1 else None, key_name)
if to_delete:
yield to_delete
@staticmethod
def add_environment_variables(params, endpoint, record, temp_files):
# type: (KeeperParams, str, KeeperRecord, List[str]) -> Iterable[Callable]
key_prefix = f'connect:{endpoint}:env:'
for cf_name, cf_value in ConnectCommand.get_fields_by_patters(record, key_prefix):
key_name = cf_name[len(key_prefix):]
if not key_name:
continue
while True:
m = endpoint_parameter_pattern.search(cf_value)
if not m:
break
p = m.group(1)
val = ConnectCommand.get_parameter_value(params, record, p, temp_files)
if not val:
raise Exception('Add environment variable. Failed to resolve key parameter: {0}'.format(p))
cf_value = cf_value[:m.start()] + val + cf_value[m.end():]
if cf_value:
os.putenv(key_name, cf_value)
def clear_env():
os.putenv(key_name, '')
yield clear_env
def connect_endpoint(self, params, endpoint, record):
# type: (KeeperParams, str, KeeperRecord) -> None
temp_files = []
try:
command = BaseConnectCommand.get_custom_field(record, f'connect:{endpoint}:pre')
if command:
command = BaseConnectCommand.get_command_string(params, record, command, temp_files, endpoint=endpoint)
if command:
os.system(command)
command = ConnectCommand.get_custom_field(record, f'connect:{endpoint}')
if command:
self.command = ConnectCommand.get_command_string(params, record, command, temp_files, endpoint=endpoint)
if self.command:
self.run_at_the_end.extend(
ConnectCommand.add_ssh_keys(params, endpoint, record, temp_files))
self.run_at_the_end.extend(
ConnectCommand.add_environment_variables(params, endpoint, record, temp_files))
logging.info('Connecting to "%s" ...', record.title)
self.execute_shell()
command = BaseConnectCommand.get_custom_field(record, f'connect:{endpoint}:post')
if command:
command = ConnectCommand.get_command_string(params, record, command, temp_files, endpoint=endpoint)
if command:
os.system(command)
finally:
for file in temp_files:
os.remove(file)
| 30,543 | 8,248 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import with_statement
from builtins import input
import mpcorbget as mpc
def main():
"""Handy dandy quick ephemeris tool"""
print("QuickEphem v1.1 | Code by Alex Davenport\n----------------------------------------------")
asteroid = input("Asteroid Designation: ")
observatory = input("Observatory Code: ")
datetime = input("UTC (YYYY/MM/DD HH:MM:SS): ")
ast = mpc.MPCORB(asteroid)
observatory = mpc.Observatory(observatory)
geo = ast.geocentric(datetime)
topo = ast.topocentric(observatory.location, datetime)
print("----------------------------------------------")
print(geo)
print()
print(topo)
if __name__ == "__main__":
main()
| 855 | 267 |
import unittest
import logging
import game_code
log = logging.getLogger('test.level_1')
class TestAdventureLevelOne(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.game = game_code.main.start_game(interface='python')
def test_outside_slowly(self):
outside = self.game.interface.get_next_screen()
self.assertEqual(outside.title, 'Outside')
self.assertEqual(outside.choices[1], 'Open the door slowly')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_outside_kick(self):
outside = self.game.interface.get_next_screen()
self.assertEqual(outside.title, 'Outside')
self.assertEqual(outside.choices[2], 'Kick down the door!')
ok = self.game.interface.put_choice(2)
self.assertTrue(ok)
def test_entrance_hall_left(self):
entrance_hall = self.game.interface.get_next_screen()
self.assertEqual(entrance_hall.title, 'Entrance Hall')
self.assertEqual(entrance_hall.choices[1], 'Left Door')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_entrance_hall_front(self):
entrance_hall = self.game.interface.get_next_screen()
self.assertEqual(entrance_hall.title, 'Entrance Hall')
self.assertEqual(entrance_hall.choices[2], 'Front Door')
ok = self.game.interface.put_choice(2)
self.assertTrue(ok)
def test_entrance_hall_right(self):
entrance_hall = self.game.interface.get_next_screen()
self.assertEqual(entrance_hall.title, 'Entrance Hall')
self.assertEqual(entrance_hall.choices[3], 'Right Door')
ok = self.game.interface.put_choice(3)
self.assertTrue(ok)
def test_closet_room_search(self):
closet_room = self.game.interface.get_next_screen()
self.assertEqual(closet_room.title, 'Closet Room')
self.assertEqual(closet_room.choices[1], 'Search the closet')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_closet_go_back(self):
closet_room = self.game.interface.get_next_screen()
self.assertEqual(closet_room.title, 'Closet')
self.assertEqual(closet_room.choices[1], 'Go back.')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_closet_room_leave(self):
closet_room = self.game.interface.get_next_screen()
self.assertEqual(closet_room.title, 'Closet Room')
self.assertEqual(closet_room.choices[1], 'Leave room')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_kitchen_listen(self):
kitchen = self.game.interface.get_next_screen()
self.assertEqual(kitchen.title, 'Kitchen')
self.assertEqual(kitchen.choices[1], 'Kneel next to the zombie and listen.')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_kitchen_ask(self):
listening = self.game.interface.get_next_screen()
self.assertEqual(listening.title, 'Listen To Zombie')
self.assertEqual(listening.choices[1], 'Ask why he tried to run away')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_kitchen_ask_ring(self):
listening = self.game.interface.get_next_screen()
self.assertEqual(listening.title, 'Listen To Zombie')
self.assertEqual(listening.choices[1], 'Ask for the ring')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_kitchen_leave(self):
listening = self.game.interface.get_next_screen()
self.assertEqual(listening.title, 'Listen To Zombie')
self.assertEqual(listening.choices[1], 'Leave room')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_living_room_hold(self):
living_room = self.game.interface.get_next_screen()
self.assertEqual(living_room.title, 'Living Room')
self.assertEqual(living_room.choices[1],
'Hold your holy cross firmly before the ghost and recite a banishment prayer!')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_living_room_move(self):
living_room = self.game.interface.get_next_screen()
self.assertEqual(living_room.title, 'Ghast Destroyed')
self.assertEqual(living_room.choices[1],
'Move towards the iron gate at the far end of the room')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_living_room_key(self):
living_room = self.game.interface.get_next_screen()
self.assertEqual(living_room.title, 'Iron Gate')
self.assertEqual(living_room.choices[1], 'Try the key')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_living_room_stairs(self):
living_room = self.game.interface.get_next_screen()
self.assertEqual(living_room.title, 'Iron Gate')
self.assertEqual(living_room.choices[1], 'Advance down the stairs')
ok = self.game.interface.put_choice(1)
self.assertTrue(ok)
def test_arrive_at_grande_hall(self):
grande_hall = self.game.interface.get_next_screen()
self.assertEqual(grande_hall.title, 'Grande Hall')
| 5,338 | 1,753 |
import unittest
from project.player.beginner import Beginner
from project.player.player_repository import PlayerRepository
class TestPlayerRepo(unittest.TestCase):
def setUp(self):
self.repo = PlayerRepository()
def test_set_up(self):
self.assertEqual(self.repo.count, 0)
self.assertListEqual(self.repo.players, [])
def test_addplayer_when_player_name_exists(self):
p = Beginner("Borko")
self.repo.add(p)
with self.assertRaises(ValueError) as ex:
self.repo.add(p)
self.assertEqual(str(ex.exception), "Player Borko already exists!")
def test_add_player_when_name_is_new(self):
p = Beginner('Borko')
self.repo.add(p)
self.assertTrue(len(self.repo.players), 1)
self.assertEqual(self.repo.count, 1)
self.assertEqual(self.repo.players[0].username, 'Borko')
def test_remove_when_name_is_net_defined_should_raise_error(self):
p = Beginner('Borko')
self.repo.add(p)
with self.assertRaises(ValueError) as ex:
self.repo.remove("")
self.assertEqual(str(ex.exception), "Player cannot be an empty string!")
def test_remove_when_name_is_ncorect_remove_user(self):
p = Beginner('Borko')
self.repo.add(p)
self.repo.remove('Borko')
self.assertEqual(len(self.repo.players), 0)
self.assertEqual(self.repo.count, 0)
def test_find(self):
p = Beginner('Borko')
self.repo.add(p)
actual = self.repo.find('Borko')
self.assertEqual(p, actual)
if __name__ == '__main__':
unittest.main()
| 1,627 | 555 |
import xml.etree.ElementTree as ET
class Template:
def __init__(self, image, default_xml):
self.tree = ET.parse(default_xml)
self.root = self.tree.getroot()
self.image = image
def add_template_objects(self, xml, **kargs):
tree = ET.parse(xml)
root = tree.getroot()
y_offset = kargs["y_offset"] if("y_offset" in kargs) else 0
for _object in root.findall('./object'):
for bndbox in _object.findall('bndbox'):
bndbox.find('ymin').text = str(int(bndbox.find('ymin').text)+y_offset)
bndbox.find('ymax').text = str(int(bndbox.find('ymax').text)+y_offset)
self.root.insert(-1, _object)
pass
def random_crop_img(self):
## get random img from ext_images
img = cv2.open(rand_img_path)
pass
def save(self, path):
self.tree.write(path)
def create_battlefield(img, handcards, enemy_minions, player_minions, heropower_enemy, heropower_player):
t = Template(img, "templates/battlefield/defaults.xml")
if(handcards > 0):
t.add_template_objects("templates/battlefield/handcards_{}.xml".format(handcards))
if(player_minions > 0):
t.add_template_objects("templates/battlefield/minions_{}.xml".format(player_minions))
if(enemy_minions > 0):
t.add_template_objects("templates/battlefield/minions_{}.xml".format(enemy_minions), y_offset=-185)
if(heropower_enemy):
t.add_template_objects("templates/battlefield/heropower_enemy.xml")
if(heropower_player):
t.add_template_objects("templates/battlefield/heropower_player.xml")
return t
| 1,663 | 568 |
from .datasets import * # noqa
from .metrics import * # noqa
| 61 | 21 |
from monstage import *
class MonType():
def __init__(self,sprites=None,stage=egg,becomes=None):
self.stage = stage
self.becomes = becomes
self._sprites = sprites
def setSprites(self,sprites):
if type(sprites) not in [list,tuple] or sprites == None:
raise TypeError
self._sprites = sprites
def getSprites(self):
return self._sprites
sprites = property(getSprites,setSprites)
bobo = MonType(sprites=["img/bobo.png","img/bobo2.png"],stage=bab)
plainegg = MonType(sprites=["img/egg1.png","img/egg2.png"],becomes=[bobo])
| 640 | 226 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.13 on 2019-04-09 04:03
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('netdevice', '0006_auto_20190409_0325'),
('bgp', '0003_auto_20190328_0332'),
]
operations = [
migrations.AlterField(
model_name='aut_num',
name='asn',
field=models.BigIntegerField(),
),
migrations.AlterUniqueTogether(
name='aut_num',
unique_together=set([('asn', 'vrf')]),
),
]
| 619 | 235 |
import sys
import os
import subprocess as proc
import distutils.spawn as which
version = sys.version[:3]
activate_env_path = os.path.join("env", "bin", "activate_this.py")
activate_env = activate_env_path
opts = {}
def has_colours(stream):
if not hasattr(stream, "isatty"):
return False
if not stream.isatty():
return False
try:
import curses
curses.setupterm()
return curses.tigetnum("colors") > 2
except:
return False
def print_color(text, color = 7):
if has_colours(sys.stdout):
seq = "\x1b[1;%dm" % (30 + color) + text + "\x1b[0m"
return seq
else:
return text
dependencies = ["pandoc", "pandoc-citeproc",
"pandoc-crossref", "pandoc-sidenote",
"virtualenv"]
if version != "2.7":
error = "[ERR]\tPython version not 2.7"
print(print_color(error, 1))
sys.exit()
for dependency in dependencies:
if not which.find_executable(dependency):
error = "[ERR]\t" + dependency + " not found in path"
print(print_color(error, 1))
sys.exit()
print(print_color("==> Creating the virtual environment. . .", 4))
try:
proc.check_call(["virtualenv", "--python=/usr/bin/python2.7", "env"])
except Exception, e:
raise e
print(print_color("==> Activating the virtual environment. . .", 4))
execfile(activate_env, dict(__file__=activate_env))
print(print_color("==> Installing pip dependencies. . .", 4))
proc.check_call(["pip", "install", "-r", "requirements.txt"])
try:
print(print_color("==> Customizing athena. . .", 4))
opts["title"] = raw_input(
print_color("Enter title: ", 4)
)
opts["author"] = raw_input(
print_color("Enter author: ", 4)
)
opts["indexdesc"] = raw_input(
print_color("Enter home page description: ", 4)
)
opts["sidebardesc"] = raw_input(
print_color("Enter sidebar description: ", 4)
)
opts["footer"] = raw_input(
print_color("Enter footer: ", 4)
)
except KeyboardInterrupt:
print("\n")
sys.exit()
with open("config.py", 'w') as f:
f.write("config = {\n")
for key, value in opts.items():
f.write('\t"%s"\t: "%s",\n' % (key, value))
f.write("}\n")
print(print_color("==> Installation complete!", 2))
| 2,195 | 792 |
# from functools import lru_cache as memoize
from collections import namedtuple
from pyparsing import Regex, SkipTo, ParseException, OneOrMore, Optional, Suppress, Empty
Language = namedtuple("Language", ["code", "text"])
# directives
# _dsee = Suppress("@see")+SkipTo(LineEnd())
# _dparam = Suppress("@param")+SkipTo(LineEnd())
# _dname = Suppress("@name")+SkipTo(LineEnd())
#
#
# _text = Optional(_dname) + SkipTo(Or((Suppress(_dsee), Suppress(_dparam), StringEnd())), include=True)
def _build_language():
# TODO: use regexp backreference
def check_match(s, loc, toks):
start = toks[0].strip()
stop = toks[1][1].strip()
if start[1:] != stop[4:]:
raise ParseException("Language tags mismatch")
code = start[1:]
content = toks[1][0].strip()
return Language(code, content)
open_ = Regex(r"\\([a-zA-Z0-9]+?)\s")
close = Regex(r"\\end([a-zA-Z0-9]+?)(\s|$)")
return (open_ + SkipTo(close, include=True)).setParseAction(check_match)
_language = _build_language()
def _build_doxygen(spec):
def is_meta(s):
for m in ("@param", "@name", "@see"):
if s.startswith(m):
return True
def normalize(s, loc, toks):
decommented = (ll.strip() for ll in toks[0].replace("*", "").split("\n"))
cleaned = " ".join(ll.strip() for ll in decommented if not is_meta(ll))
languages = OneOrMore(_language).parseString(cleaned, parseAll=True)
return [languages]
end = "*/"
return (Suppress(r"/**") + Suppress(spec) + SkipTo(end) + Suppress(end)).setParseAction(normalize)
# Exported
inline = _build_doxygen(r"<")
reader = _build_doxygen(r"$XIR")
writer = _build_doxygen(r"$XIW")
struct = _build_doxygen(r"$XIS")
reader_calb = _build_doxygen(r"$XIRC")
writer_calb = _build_doxygen(r"$XIWC")
struct_calb = _build_doxygen(r"$XISC")
flagset = _build_doxygen(Empty())
OpenGroup = Suppress(Optional(Optional(_build_doxygen(Empty())) + r"//@{"))
CloseGroup = Suppress(Optional(r"//@}"))
| 2,031 | 735 |
from abc import ABC, abstractmethod
class AbstractModel(ABC):
def __init__(self):
self.model = None
self.word2idx = None
self.idx2word = None
self.tag2idx = None
self.idx2tag = None
self.max_len = None
self.vocabulary = None
self.categories = None
self.load_workflow = []
self.load_param = []
super().__init__()
def load(self):
for method, param in zip(self.load_workflow, self.load_param):
print(method)
if method is not None and callable(method):
method(*param)
@abstractmethod
def train(self, X, y, epochs=100, batch_size=32):
pass
@abstractmethod
def predict(self, input):
pass
@abstractmethod
def test(self, X_test, y_test):
pass
@abstractmethod
def save_model(self, path):
pass
@abstractmethod
def load_model(self, path):
pass
def load_vocabulary(self, path_to_vocabulary):
self.vocabulary = [word.strip() for word in open(path_to_vocabulary, "r").readlines() if len(word) >= 1]
def load_categories(self, path_to_categories):
self.categories = [category.split("\t") for category in open(path_to_categories, "r").readlines() if len(category) > 3]
| 1,314 | 422 |
import logging
import sys
import concurrent.futures as cf
from time import clock, time
import numpy as np
import pytest
from worms import simple_search_dag, Cyclic, grow_linear, NullCriteria
from worms.util import InProcessExecutor
from worms.database import CachingBBlockDB, CachingSpliceDB
from worms.ssdag_pose import make_pose_crit, make_pose
from worms.ssdag import graph_dump_pdb
from worms.filters.clash import prune_clashes
from worms.search import lossfunc_rand_1_in
logging.getLogger().setLevel(99)
# David's Defaults
# --max_chunk_length 170
# --nres_from_termini 80
# --max_sample 1e11
# --min_chunk_length 100
# --use_class True
# --prefix %s_n%s
# --err_cutoff 9.0
# --max_chain_length 400
# --min_seg_len 15
# --cap_number_of_pdbs_per_segment 150
# --clash_cutoff 1.5
# --superimpose_rmsd 0.7
# --superimpose_length 9
# --Nproc_for_sympose 8
# --max_number_of_fusions_to_evaluate 10000
# --database_files %s" '%(base,nrun,base,base,nrun,config_file,base,nrun,DATABASES)
def _dump_pdb(i, **kw):
pose = make_pose(**kw)
pose.dump_pdb("test_%i.pdb" % i)
def worm_grow_3(
bbdb,
spdb,
nbblocks=10,
shuffle_bblocks=0,
parallel=1,
verbosity=1,
monte_carlo=0,
clash_check=0,
dump_pdb=0,
cache_sync=0.001,
):
if clash_check < dump_pdb:
clash_check = dump_pdb * 100
ttot = time()
ssdag, tdb, tvertex, tedge = simple_search_dag(
[
("C3_N", "_N"),
("Het:NCy", "C_"),
# ('Het:CCC', 'C_'),
# ('Het:NN', 'NN'),
# ('Het:CC', 'CC'),
# ('Het:NNX', 'N_'),
],
(bbdb, spdb),
nbblocks=nbblocks,
timing=True,
verbosity=verbosity,
parallel=parallel,
cache_sync=cache_sync,
)
# crit = Cyclic(3, from_seg=2, origin_seg=0)
# crit = Cyclic(3)
# last_bb_same_as = crit.from_seg
crit = NullCriteria()
lf = crit.jit_lossfunc()
last_bb_same_as = -1
tgrow = time()
rslt = grow_linear(
ssdag,
# loss_function=lf,
loss_function=lossfunc_rand_1_in(1000),
parallel=parallel,
loss_threshold=1.0,
last_bb_same_as=last_bb_same_as,
monte_carlo=monte_carlo,
)
tgrow = time() - tgrow
Nres = len(rslt.err)
Ntot = np.prod([v.len for v in ssdag.verts])
logtot = np.log10(Ntot)
print(
"frac last_bb_same_as",
rslt.stats.n_last_bb_same_as[0] / rslt.stats.total_samples[0],
)
Nsparse = int(rslt.stats.total_samples[0])
Nsparse_rate = int(Nsparse / tgrow)
ttot = time() - ttot
if len(rslt.idx) == 0:
frac_redundant = 0
else:
frac_redundant = rslt.stats.n_redundant_results[0] / len(rslt.idx)
print(
f" worm_grow_3 {nbblocks:4} {ttot:7.1f}s {Nres:9,} logtot{logtot:4.1f} tv"
f" {tvertex:7.1f}s te {tedge:7.1f}s tg {tgrow:7.1f}s {Nsparse:10,} {Nsparse_rate:7,}/s {frac_redundant:4.1f}"
)
if len(rslt.err):
print("err 0 25 50 75 100", np.percentile(rslt.err, (0, 25, 50, 75, 100)))
sys.stdout.flush()
if not clash_check:
return
tclash = time()
norig = len(rslt.idx)
# rslt = prune_clashes(
# ssdag, crit, rslt, at_most=clash_check, thresh=4.0, parallel=parallel
# )
print(
"pruned clashes, %i of %i remain," % (len(rslt.idx), min(clash_check, norig)),
"took",
time() - tclash,
"seconds",
)
for i, idx in enumerate(rslt.idx[:10]):
graph_dump_pdb("graph_%i_nojoin.pdb" % i, ssdag, idx, rslt.pos[i], join=0)
# graph_dump_pdb('graph_%i.pdb' % i, ssdag, idx, rslt.pos[i])
return
if len(rslt.idx) > 0:
tpdb = time()
exe = cf.ThreadPoolExecutor if parallel else InProcessExecutor
with exe(max_workers=3) as pool:
futures = list()
for i in range(min(dump_pdb, len(rslt.idx))):
kw = dict(
bbdb=bbdb,
ssdag=ssdag,
# crit=crit,
i=i,
indices=rslt.idx[i],
positions=rslt.pos[i],
only_connected=False,
)
futures.append(pool.submit(_dump_pdb, **kw))
[f.result() for f in futures]
print("dumped %i structures" % min(dump_pdb, len(rslt.idx)), "time", time() - tpdb)
def main():
import argparse
import glob
import pyrosetta
pyrosetta.init("-mute all -beta")
parser = argparse.ArgumentParser()
parser.add_argument("--verbosity", type=int, dest="verbosity", default=0)
parser.add_argument("--parallel", type=int, dest="parallel", default=True)
parser.add_argument("--nbblocks", type=int, dest="nbblocks", default=4)
parser.add_argument("--clash_check", type=int, dest="clash_check", default=0)
parser.add_argument("--dump_pdb", type=int, dest="dump_pdb", default=0)
parser.add_argument("--cache_sync", type=float, dest="cache_sync", default=0.01)
parser.add_argument("--monte_carlo", type=int, dest="monte_carlo", default=0)
args = parser.parse_args()
bbdb = CachingBBlockDB(
dbfiles=[
"worms/data/c6_database.json",
"worms/data/HBRP_Cx_database.json",
"worms/data/HFuse_Cx_database.20180219.json",
"worms/data/HFuse_het_2chain_2arm_database.ZCON-103_2.20180406.json",
"worms/data/HFuse_het_2chain_2arm_database.ZCON-112_2.20180406.json",
"worms/data/HFuse_het_2chain_2arm_database.ZCON-127_2.20180406.json",
"worms/data/HFuse_het_2chain_2arm_database.ZCON-13_2.20180406.json",
"worms/data/HFuse_het_2chain_2arm_database.ZCON-15_2.20180406.json",
"worms/data/HFuse_het_2chain_2arm_database.ZCON-34_2.20180406.json",
"worms/data/HFuse_het_2chain_2arm_database.ZCON-37_2.20180406.json",
"worms/data/HFuse_het_2chain_2arm_database.ZCON-39_2.20180406.json",
"worms/data/HFuse_het_2chain_2arm_database.ZCON-9_2.20180406.json",
"worms/data/HFuse_het_3chain_2arm_database.Sh13_3.20180406.json",
"worms/data/HFuse_het_3chain_2arm_database.Sh13_3.20180416.json",
"worms/data/HFuse_het_3chain_2arm_database.Sh29_3.20180406.json",
"worms/data/HFuse_het_3chain_2arm_database.Sh29_3.20180416.json",
"worms/data/HFuse_het_3chain_2arm_database.Sh34_3.20180416.json",
"worms/data/HFuse_het_3chain_2arm_database.Sh3e_3.20180406.json",
"worms/data/HFuse_het_3chain_3arm_database.Sh13_3.20180406.json",
"worms/data/HFuse_het_3chain_3arm_database.Sh13_3.20180416.json",
"worms/data/HFuse_het_3chain_3arm_database.Sh29_3.20180406.json",
"worms/data/HFuse_het_3chain_3arm_database.Sh29_3.20180416.json",
"worms/data/HFuse_het_3chain_3arm_database.Sh34_3.20180416.json",
"worms/data/HFuse_het_3chain_3arm_database.Sh3e_3.20180406.json",
"worms/data/master_database_generation2.json",
"worms/data/test_db_file.json",
"worms/data/test_fullsize_prots.json",
],
read_new_pdbs=True,
verbosity=args.verbosity,
)
spdb = CachingSpliceDB()
worm_grow_3(
bbdb,
spdb,
nbblocks=args.nbblocks,
parallel=args.parallel,
verbosity=args.verbosity,
monte_carlo=args.monte_carlo,
clash_check=args.clash_check,
dump_pdb=args.dump_pdb,
cache_sync=args.cache_sync,
)
sys.stdout.flush()
if __name__ == "__main__":
main()
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