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27bbcd1397596207d47f148c356105873636a5e2 | b76ae361ab277923d0fed969b795074a1ecb400b | /project/python_fullstack/day13/property.py | 77fec9d5cf94c99f3b42f8fbcc1616c6cbd3e6c0 | [] | no_license | RobotNo42/old_coed | 995df921e31d5a9b65f1609380235330edb546ad | 59f82e5d58965dd5c6340f4daf4ef43d1d311252 | refs/heads/master | 2021-07-18T00:07:33.450173 | 2020-06-16T13:51:11 | 2020-06-16T13:51:11 | 180,384,457 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 321 | py | class People:
def __init__(self, name, age, weight, height):
self.name = name
self.age =age
self.weight = weight
self.height = height
@property
def dmi(self):
d = self.weight / (self.height ** 2)
return round(d, 2)
g = People('wzc', 20, 75, 1.7)
print(g.dmi) | [
"[email protected]"
] | |
22acc2dddc23d9c0fc2317a07bff8b04cb194b7e | 580f9928174741d07720141107879878091a2640 | /dlib-example/face-detector/cnn_face_detector.py | 01f7d8ae4592d4d0937b596b43b56ea97a2940fc | [] | no_license | zengzhiying/machine_learning | 08aa323e4bcf42f208ce81297249ceed9818844c | 7b6a3c19580f000b1fa4ae54305749c3857b91a6 | refs/heads/master | 2023-02-27T20:08:43.384000 | 2021-02-07T14:20:48 | 2021-02-07T14:20:48 | 99,288,444 | 3 | 1 | null | 2020-10-12T22:02:52 | 2017-08-04T01:07:32 | MATLAB | UTF-8 | Python | false | false | 3,819 | py | #!/usr/bin/python3
# The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt
#
# This example shows how to run a CNN based face detector using dlib. The
# example loads a pretrained model and uses it to find faces in images. The
# CNN model is much more accurate than the HOG based model shown in the
# face_detector.py example, but takes much more computational power to
# run, and is meant to be executed on a GPU to attain reasonable speed.
#
# You can download the pre-trained model from:
# http://dlib.net/files/mmod_human_face_detector.dat.bz2
#
# The examples/faces folder contains some jpg images of people. You can run
# this program on them and see the detections by executing the
# following command:
# ./cnn_face_detector.py mmod_human_face_detector.dat ../examples/faces/*.jpg
#
#
# COMPILING/INSTALLING THE DLIB PYTHON INTERFACE
# You can install dlib using the command:
# pip install dlib
#
# Alternatively, if you want to compile dlib yourself then go into the dlib
# root folder and run:
# python setup.py install
#
# Compiling dlib should work on any operating system so long as you have
# CMake installed. On Ubuntu, this can be done easily by running the
# command:
# sudo apt-get install cmake
#
# Also note that this example requires Numpy which can be installed
# via the command:
# pip install numpy
import os
import sys
import time
import cv2
import dlib
# if len(sys.argv) < 3:
# print(
# "Call this program like this:\n"
# " ./cnn_face_detector.py mmod_human_face_detector.dat ../examples/faces/*.jpg\n"
# "You can get the mmod_human_face_detector.dat file from:\n"
# " http://dlib.net/files/mmod_human_face_detector.dat.bz2")
# exit()
cnn_face_detector = dlib.cnn_face_detection_model_v1('mmod_human_face_detector.dat')
# win = dlib.image_window()
image_file = sys.argv[1]
if os.path.isfile(image_file):
print("Processing file: {}".format(image_file))
t1 = time.time()
img = dlib.load_rgb_image(image_file)
print("load image time: {:.3f}s".format(time.time() - t1))
t1 = time.time()
# The 1 in the second argument indicates that we should upsample the image
# 1 time. This will make everything bigger and allow us to detect more
# faces.
dets = cnn_face_detector(img, 1)
print("detect image time: {:.3f}s".format(time.time() - t1))
t1 = time.time()
'''
This detector returns a mmod_rectangles object. This object contains a list of mmod_rectangle objects.
These objects can be accessed by simply iterating over the mmod_rectangles object
The mmod_rectangle object has two member variables, a dlib.rectangle object, and a confidence score.
It is also possible to pass a list of images to the detector.
- like this: dets = cnn_face_detector([image list], upsample_num, batch_size = 128)
In this case it will return a mmod_rectangless object.
This object behaves just like a list of lists and can be iterated over.
'''
print("Number of faces detected: {}".format(len(dets)))
img = cv2.imread(image_file)
for i, d in enumerate(dets):
print("Detection {}: Left: {} Top: {} Right: {} Bottom: {} Confidence: {}".format(
i, d.rect.left(), d.rect.top(), d.rect.right(), d.rect.bottom(), d.confidence))
cv2.rectangle(img, (d.rect.left(), d.rect.top()), (d.rect.right(), d.rect.bottom()), (0, 0, 255), 3)
cv2.imwrite(f'{image_file[:-4]}_box.jpg', img)
print("rect image time: {:.3f}s".format(time.time() - t1))
# rects = dlib.rectangles()
# rects.extend([d.rect for d in dets])
# win.clear_overlay()
# win.set_image(img)
# win.add_overlay(rects)
# dlib.hit_enter_to_continue() | [
"[email protected]"
] | |
5523a954cd910bce70946a3ab248b803adcc2d11 | 6413fe58b04ac2a7efe1e56050ad42d0e688adc6 | /tempenv/lib/python3.7/site-packages/dash_html_components/Tbody.py | 6c69bce7274c8ffc23ad59c3a25b5f69c48d2621 | [
"MIT"
] | permissive | tytechortz/Denver_temperature | 7f91e0ac649f9584147d59193568f6ec7efe3a77 | 9d9ea31cd7ec003e8431dcbb10a3320be272996d | refs/heads/master | 2022-12-09T06:22:14.963463 | 2019-10-09T16:30:52 | 2019-10-09T16:30:52 | 170,581,559 | 1 | 0 | MIT | 2022-06-21T23:04:21 | 2019-02-13T21:22:53 | Python | UTF-8 | Python | false | false | 5,310 | py | # AUTO GENERATED FILE - DO NOT EDIT
from dash.development.base_component import Component, _explicitize_args
class Tbody(Component):
"""A Tbody component.
Keyword arguments:
- children (a list of or a singular dash component, string or number; optional): The children of this component
- id (string; optional): The ID of this component, used to identify dash components
in callbacks. The ID needs to be unique across all of the
components in an app.
- n_clicks (number; optional): An integer that represents the number of times
that this element has been clicked on.
- n_clicks_timestamp (number; optional): An integer that represents the time (in ms since 1970)
at which n_clicks changed. This can be used to tell
which button was changed most recently.
- key (string; optional): A unique identifier for the component, used to improve
performance by React.js while rendering components
See https://reactjs.org/docs/lists-and-keys.html for more info
- role (string; optional): The ARIA role attribute
- data-* (string; optional): A wildcard data attribute
- aria-* (string; optional): A wildcard aria attribute
- accessKey (string; optional): Defines a keyboard shortcut to activate or add focus to the element.
- className (string; optional): Often used with CSS to style elements with common properties.
- contentEditable (string; optional): Indicates whether the element's content is editable.
- contextMenu (string; optional): Defines the ID of a <menu> element which will serve as the element's context menu.
- dir (string; optional): Defines the text direction. Allowed values are ltr (Left-To-Right) or rtl (Right-To-Left)
- draggable (string; optional): Defines whether the element can be dragged.
- hidden (string; optional): Prevents rendering of given element, while keeping child elements, e.g. script elements, active.
- lang (string; optional): Defines the language used in the element.
- spellCheck (string; optional): Indicates whether spell checking is allowed for the element.
- style (dict; optional): Defines CSS styles which will override styles previously set.
- tabIndex (string; optional): Overrides the browser's default tab order and follows the one specified instead.
- title (string; optional): Text to be displayed in a tooltip when hovering over the element.
Available events: 'click'"""
@_explicitize_args
def __init__(self, children=None, id=Component.UNDEFINED, n_clicks=Component.UNDEFINED, n_clicks_timestamp=Component.UNDEFINED, key=Component.UNDEFINED, role=Component.UNDEFINED, accessKey=Component.UNDEFINED, className=Component.UNDEFINED, contentEditable=Component.UNDEFINED, contextMenu=Component.UNDEFINED, dir=Component.UNDEFINED, draggable=Component.UNDEFINED, hidden=Component.UNDEFINED, lang=Component.UNDEFINED, spellCheck=Component.UNDEFINED, style=Component.UNDEFINED, tabIndex=Component.UNDEFINED, title=Component.UNDEFINED, **kwargs):
self._prop_names = ['children', 'id', 'n_clicks', 'n_clicks_timestamp', 'key', 'role', 'data-*', 'aria-*', 'accessKey', 'className', 'contentEditable', 'contextMenu', 'dir', 'draggable', 'hidden', 'lang', 'spellCheck', 'style', 'tabIndex', 'title']
self._type = 'Tbody'
self._namespace = 'dash_html_components'
self._valid_wildcard_attributes = ['data-', 'aria-']
self.available_events = ['click']
self.available_properties = ['children', 'id', 'n_clicks', 'n_clicks_timestamp', 'key', 'role', 'data-*', 'aria-*', 'accessKey', 'className', 'contentEditable', 'contextMenu', 'dir', 'draggable', 'hidden', 'lang', 'spellCheck', 'style', 'tabIndex', 'title']
self.available_wildcard_properties = ['data-', 'aria-']
_explicit_args = kwargs.pop('_explicit_args')
_locals = locals()
_locals.update(kwargs) # For wildcard attrs
args = {k: _locals[k] for k in _explicit_args if k != 'children'}
for k in []:
if k not in args:
raise TypeError(
'Required argument `' + k + '` was not specified.')
super(Tbody, self).__init__(children=children, **args)
def __repr__(self):
if(any(getattr(self, c, None) is not None
for c in self._prop_names
if c is not self._prop_names[0])
or any(getattr(self, c, None) is not None
for c in self.__dict__.keys()
if any(c.startswith(wc_attr)
for wc_attr in self._valid_wildcard_attributes))):
props_string = ', '.join([c+'='+repr(getattr(self, c, None))
for c in self._prop_names
if getattr(self, c, None) is not None])
wilds_string = ', '.join([c+'='+repr(getattr(self, c, None))
for c in self.__dict__.keys()
if any([c.startswith(wc_attr)
for wc_attr in
self._valid_wildcard_attributes])])
return ('Tbody(' + props_string +
(', ' + wilds_string if wilds_string != '' else '') + ')')
else:
return (
'Tbody(' +
repr(getattr(self, self._prop_names[0], None)) + ')')
| [
"[email protected]"
] | |
ad965770425ffb7514c7eae370f4dda72d70789c | a29b8d6ae6642ef80d04ae99d721b703de06db69 | /maro/rl/rl_component/rl_component_bundle.py | cd18accdf0d03c47cf335a0de68f3444b0a88656 | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | permissive | microsoft/maro | 6aab1a4e86fddabf7f242f0d1020d985a5f7a5f3 | b3c6a589ad9036b03221e776a6929b2bc1eb4680 | refs/heads/master | 2023-08-24T16:52:38.250279 | 2023-05-15T04:31:58 | 2023-05-15T04:31:58 | 230,389,247 | 764 | 158 | MIT | 2023-07-25T20:59:06 | 2019-12-27T06:48:27 | Python | UTF-8 | Python | false | false | 4,598 | py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Any, Dict, List
from maro.rl.policy import AbsPolicy, RLPolicy
from maro.rl.rollout import AbsEnvSampler
from maro.rl.training import AbsTrainer
from maro.rl.workflows.callback import Callback
class RLComponentBundle:
"""Bundle of all necessary components to run a RL job in MARO.
env_sampler (AbsEnvSampler): Environment sampler of the scenario.
agent2policy (Dict[Any, str]): Agent name to policy name mapping of the RL job. For example:
{agent1: policy1, agent2: policy1, agent3: policy2}.
policies (List[AbsPolicy]): Policies.
trainers (List[AbsTrainer]): Trainers.
device_mapping (Dict[str, str], default=None): Device mapping that identifying which device to put each policy.
If None, there will be no explicit device assignment.
policy_trainer_mapping (Dict[str, str], default=None): Policy-trainer mapping which identifying which trainer to
train each policy. If None, then a policy's trainer's name is the first segment of the policy's name,
separated by dot. For example, "ppo_1.policy" is trained by "ppo_1". Only policies that provided in
policy-trainer mapping are considered as trainable polices. Policies that not provided in policy-trainer
mapping will not be trained.
"""
def __init__(
self,
env_sampler: AbsEnvSampler,
agent2policy: Dict[Any, str],
policies: List[AbsPolicy],
trainers: List[AbsTrainer],
device_mapping: Dict[str, str] = None,
policy_trainer_mapping: Dict[str, str] = None,
customized_callbacks: List[Callback] = [],
) -> None:
self.env_sampler = env_sampler
self.agent2policy = agent2policy
self.policies = policies
self.trainers = trainers
self.customized_callbacks = customized_callbacks
policy_set = set([policy.name for policy in self.policies])
not_found = [policy_name for policy_name in self.agent2policy.values() if policy_name not in policy_set]
if len(not_found) > 0:
raise ValueError(f"The following policies are required but cannot be found: [{', '.join(not_found)}]")
# Remove unused policies
kept_policies = []
for policy in self.policies:
if policy.name not in self.agent2policy.values():
raise Warning(f"Policy {policy.name} is removed since it is not used by any agent.")
else:
kept_policies.append(policy)
self.policies = kept_policies
policy_set = set([policy.name for policy in self.policies])
self.device_mapping = (
{k: v for k, v in device_mapping.items() if k in policy_set} if device_mapping is not None else {}
)
self.policy_trainer_mapping = (
policy_trainer_mapping
if policy_trainer_mapping is not None
else {policy_name: policy_name.split(".")[0] for policy_name in policy_set}
)
# Check missing trainers
self.policy_trainer_mapping = {
policy_name: trainer_name
for policy_name, trainer_name in self.policy_trainer_mapping.items()
if policy_name in policy_set
}
trainer_set = set([trainer.name for trainer in self.trainers])
not_found = [
trainer_name for trainer_name in self.policy_trainer_mapping.values() if trainer_name not in trainer_set
]
if len(not_found) > 0:
raise ValueError(f"The following trainers are required but cannot be found: [{', '.join(not_found)}]")
# Remove unused trainers
kept_trainers = []
for trainer in self.trainers:
if trainer.name not in self.policy_trainer_mapping.values():
raise Warning(f"Trainer {trainer.name} if removed since no policy is trained by it.")
else:
kept_trainers.append(trainer)
self.trainers = kept_trainers
@property
def trainable_agent2policy(self) -> Dict[Any, str]:
return {
agent_name: policy_name
for agent_name, policy_name in self.agent2policy.items()
if policy_name in self.policy_trainer_mapping
}
@property
def trainable_policies(self) -> List[RLPolicy]:
policies = []
for policy in self.policies:
if policy.name in self.policy_trainer_mapping:
assert isinstance(policy, RLPolicy)
policies.append(policy)
return policies
| [
"[email protected]"
] | |
cc0c55576ca8c77495cb64ff56021fd3e2852733 | e3d9592ff05f225433e1689ec70253043a360ee2 | /hackerrank/python/regex_and_parsing/roman_numerals.py | a754d0a19b5448bb11bc357181bcb56b1a1b9310 | [] | no_license | jreiher2003/code_challenges | cad28cac57b6e14ffd30d2b7fe00abdba8b3fa47 | ac03c868b28e1cfa22d8257366e7a0f8f757ad8c | refs/heads/master | 2020-04-16T02:25:26.267418 | 2016-12-12T01:23:56 | 2016-12-12T01:23:56 | 58,969,218 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 150 | py | import re
pattern = "^M{0,3}(CM|CD|D?C{0,3})(XC|XL|L?X{0,3})(IX|IV|V?I{0,3})$"
if re.search(pattern, "MMMM"):
print "True"
else:
print "False" | [
"[email protected]"
] | |
40e89b7989c5e6d8f7aad0954bd436b90cc7752d | f62fd455e593a7ad203a5c268e23129473d968b6 | /neutron-10.0.2/neutron/tests/functional/agent/l3/test_legacy_router.py | fe6f7135012ce38ba46e1d9bdbb27aacecd5bbf3 | [
"Apache-2.0"
] | permissive | MinbinGong/OpenStack-Ocata | 5d17bcd47a46d48ff9e71e2055f667836174242f | 8b7650128cfd2fdf5d6c8bc4613ac2e396fb2fb3 | refs/heads/master | 2021-06-23T05:24:37.799927 | 2017-08-14T04:33:05 | 2017-08-14T04:33:05 | 99,709,985 | 0 | 2 | null | 2020-07-22T22:06:22 | 2017-08-08T15:48:44 | Python | UTF-8 | Python | false | false | 19,223 | py | # Copyright (c) 2014 Red Hat, Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import copy
import mock
from neutron_lib import constants as lib_constants
from neutron.agent.l3 import namespace_manager
from neutron.agent.l3 import namespaces
from neutron.agent.linux import ip_lib
from neutron.callbacks import events
from neutron.callbacks import registry
from neutron.callbacks import resources
from neutron.common import utils
from neutron.tests.common import machine_fixtures
from neutron.tests.common import net_helpers
from neutron.tests.functional.agent.l3 import framework
class L3AgentTestCase(framework.L3AgentTestFramework):
def test_agent_notifications_for_router_events(self):
"""Test notifications for router create, update, and delete.
Make sure that when the agent sends notifications of router events
for router create, update, and delete, that the correct handler is
called with the right resource, event, and router information.
"""
event_handler = mock.Mock()
registry.subscribe(event_handler,
resources.ROUTER, events.BEFORE_CREATE)
registry.subscribe(event_handler,
resources.ROUTER, events.AFTER_CREATE)
registry.subscribe(event_handler,
resources.ROUTER, events.BEFORE_UPDATE)
registry.subscribe(event_handler,
resources.ROUTER, events.AFTER_UPDATE)
registry.subscribe(event_handler,
resources.ROUTER, events.BEFORE_DELETE)
registry.subscribe(event_handler,
resources.ROUTER, events.AFTER_DELETE)
router_info = self.generate_router_info(enable_ha=False)
router = self.manage_router(self.agent, router_info)
self.agent._process_updated_router(router.router)
self._delete_router(self.agent, router.router_id)
expected_calls = [
mock.call('router', 'before_create', self.agent, router=router),
mock.call('router', 'after_create', self.agent, router=router),
mock.call('router', 'before_update', self.agent, router=router),
mock.call('router', 'after_update', self.agent, router=router),
mock.call('router', 'before_delete', self.agent, router=router),
mock.call('router', 'after_delete', self.agent, router=router)]
event_handler.assert_has_calls(expected_calls)
def test_legacy_router_update_floatingip_statuses(self):
self._test_update_floatingip_statuses(
self.generate_router_info(enable_ha=False))
def test_legacy_router_lifecycle(self):
self._router_lifecycle(enable_ha=False, dual_stack=True)
def test_legacy_router_lifecycle_with_no_gateway_subnet(self):
self.agent.conf.set_override('ipv6_gateway',
'fe80::f816:3eff:fe2e:1')
self._router_lifecycle(enable_ha=False, dual_stack=True,
v6_ext_gw_with_sub=False)
def test_legacy_router_gateway_update_to_none(self):
router_info = self.generate_router_info(False)
router = self.manage_router(self.agent, router_info)
gw_port = router.get_ex_gw_port()
interface_name = router.get_external_device_name(gw_port['id'])
device = ip_lib.IPDevice(interface_name, namespace=router.ns_name)
self.assertIn('gateway', device.route.get_gateway())
# Make this copy, so that the agent will think there is change in
# external gateway port.
router.ex_gw_port = copy.deepcopy(router.ex_gw_port)
for subnet in gw_port['subnets']:
subnet['gateway_ip'] = None
router.process()
self.assertIsNone(device.route.get_gateway())
def _make_bridge(self):
bridge = framework.get_ovs_bridge(utils.get_rand_name())
bridge.create()
self.addCleanup(bridge.destroy)
return bridge
def test_external_network_bridge_change(self):
bridge1, bridge2 = self._make_bridge(), self._make_bridge()
self.agent.conf.set_override('external_network_bridge',
bridge1.br_name)
router_info = self.generate_router_info(False)
router = self.manage_router(self.agent, router_info)
gw_port = router.router['gw_port']
gw_inf_name = router.get_external_device_name(gw_port['id'])
self.assertIn(gw_inf_name,
[v.port_name for v in bridge1.get_vif_ports()])
# changeing the external_network_bridge should have no impact since
# the interface exists.
self.agent.conf.set_override('external_network_bridge',
bridge2.br_name)
self.manage_router(self.agent, router_info)
self.assertIn(gw_inf_name,
[v.port_name for v in bridge1.get_vif_ports()])
self.assertNotIn(gw_inf_name,
[v.port_name for v in bridge2.get_vif_ports()])
namespaces.Namespace.delete(router.router_namespace)
self.manage_router(self.agent, router_info)
self.assertIn(gw_inf_name,
[v.port_name for v in bridge2.get_vif_ports()])
self.assertNotIn(gw_inf_name,
[v.port_name for v in bridge1.get_vif_ports()])
def test_legacy_router_ns_rebuild(self):
router_info = self.generate_router_info(False)
router = self.manage_router(self.agent, router_info)
gw_port = router.router['gw_port']
gw_inf_name = router.get_external_device_name(gw_port['id'])
gw_device = ip_lib.IPDevice(gw_inf_name, namespace=router.ns_name)
router_ports = [gw_device]
for i_port in router_info.get(lib_constants.INTERFACE_KEY, []):
interface_name = router.get_internal_device_name(i_port['id'])
router_ports.append(
ip_lib.IPDevice(interface_name, namespace=router.ns_name))
namespaces.Namespace.delete(router.router_namespace)
# l3 agent should be able to rebuild the ns when it is deleted
self.manage_router(self.agent, router_info)
# Assert the router ports are there in namespace
self.assertTrue(all([port.exists() for port in router_ports]))
self._delete_router(self.agent, router.router_id)
def test_conntrack_disassociate_fip_legacy_router(self):
self._test_conntrack_disassociate_fip(ha=False)
def _test_periodic_sync_routers_task(self,
routers_to_keep,
routers_deleted,
routers_deleted_during_resync):
ns_names_to_retrieve = set()
deleted_routers_info = []
for r in routers_to_keep:
ri = self.manage_router(self.agent, r)
ns_names_to_retrieve.add(ri.ns_name)
for r in routers_deleted + routers_deleted_during_resync:
ri = self.manage_router(self.agent, r)
deleted_routers_info.append(ri)
ns_names_to_retrieve.add(ri.ns_name)
mocked_get_router_ids = self.mock_plugin_api.get_router_ids
mocked_get_router_ids.return_value = [r['id'] for r in
routers_to_keep +
routers_deleted_during_resync]
mocked_get_routers = self.mock_plugin_api.get_routers
mocked_get_routers.return_value = (routers_to_keep +
routers_deleted_during_resync)
# clear agent router_info as it will be after restart
self.agent.router_info = {}
# Synchronize the agent with the plug-in
with mock.patch.object(namespace_manager.NamespaceManager, 'list_all',
return_value=ns_names_to_retrieve):
self.agent.periodic_sync_routers_task(self.agent.context)
# Mock the plugin RPC API so a known external network id is returned
# when the router updates are processed by the agent
external_network_id = framework._uuid()
self.mock_plugin_api.get_external_network_id.return_value = (
external_network_id)
# Plug external_gateway_info in the routers that are not going to be
# deleted by the agent when it processes the updates. Otherwise,
# _process_router_if_compatible in the agent fails
for r in routers_to_keep:
r['external_gateway_info'] = {'network_id': external_network_id}
# while sync updates are still in the queue, higher priority
# router_deleted events may be added there as well
for r in routers_deleted_during_resync:
self.agent.router_deleted(self.agent.context, r['id'])
# make sure all events are processed
while not self.agent._queue._queue.empty():
self.agent._process_router_update()
for r in routers_to_keep:
self.assertIn(r['id'], self.agent.router_info)
self.assertTrue(self._namespace_exists(namespaces.NS_PREFIX +
r['id']))
for ri in deleted_routers_info:
self.assertNotIn(ri.router_id,
self.agent.router_info)
self._assert_router_does_not_exist(ri)
def test_periodic_sync_routers_task(self):
routers_to_keep = []
for i in range(2):
routers_to_keep.append(self.generate_router_info(False))
self._test_periodic_sync_routers_task(routers_to_keep,
routers_deleted=[],
routers_deleted_during_resync=[])
def test_periodic_sync_routers_task_routers_deleted_while_agent_down(self):
routers_to_keep = []
routers_deleted = []
for i in range(2):
routers_to_keep.append(self.generate_router_info(False))
for i in range(2):
routers_deleted.append(self.generate_router_info(False))
self._test_periodic_sync_routers_task(routers_to_keep,
routers_deleted,
routers_deleted_during_resync=[])
def test_periodic_sync_routers_task_routers_deleted_while_agent_sync(self):
routers_to_keep = []
routers_deleted_during_resync = []
for i in range(2):
routers_to_keep.append(self.generate_router_info(False))
for i in range(2):
routers_deleted_during_resync.append(
self.generate_router_info(False))
self._test_periodic_sync_routers_task(
routers_to_keep,
routers_deleted=[],
routers_deleted_during_resync=routers_deleted_during_resync)
def _setup_fip_with_fixed_ip_from_same_subnet(self, enable_snat):
"""Setup 2 FakeMachines from same subnet, one with floatingip
associated.
"""
router_info = self.generate_router_info(enable_ha=False,
enable_snat=enable_snat)
router = self.manage_router(self.agent, router_info)
router_ip_cidr = self._port_first_ip_cidr(router.internal_ports[0])
router_ip = router_ip_cidr.partition('/')[0]
br_int = framework.get_ovs_bridge(
self.agent.conf.ovs_integration_bridge)
src_machine, dst_machine = self.useFixture(
machine_fixtures.PeerMachines(
br_int,
net_helpers.increment_ip_cidr(router_ip_cidr),
router_ip)).machines
dst_fip = '19.4.4.10'
router.router[lib_constants.FLOATINGIP_KEY] = []
self._add_fip(router, dst_fip, fixed_address=dst_machine.ip)
router.process()
return src_machine, dst_machine, dst_fip
def test_fip_connection_from_same_subnet(self):
'''Test connection to floatingip which is associated with
fixed_ip on the same subnet of the source fixed_ip.
In other words it confirms that return packets surely
go through the router.
'''
src_machine, dst_machine, dst_fip = (
self._setup_fip_with_fixed_ip_from_same_subnet(enable_snat=True))
protocol_port = net_helpers.get_free_namespace_port(
lib_constants.PROTO_NAME_TCP, dst_machine.namespace)
# client sends to fip
netcat = net_helpers.NetcatTester(
src_machine.namespace, dst_machine.namespace,
dst_fip, protocol_port,
protocol=net_helpers.NetcatTester.TCP)
self.addCleanup(netcat.stop_processes)
self.assertTrue(netcat.test_connectivity())
def test_ping_floatingip_reply_with_floatingip(self):
src_machine, _, dst_fip = (
self._setup_fip_with_fixed_ip_from_same_subnet(enable_snat=False))
# Verify that the ping replys with fip
ns_ip_wrapper = ip_lib.IPWrapper(src_machine.namespace)
result = ns_ip_wrapper.netns.execute(
['ping', '-c', 1, '-W', 5, dst_fip])
self._assert_ping_reply_from_expected_address(result, dst_fip)
def _setup_address_scope(self, internal_address_scope1,
internal_address_scope2, gw_address_scope=None):
router_info = self.generate_router_info(enable_ha=False,
num_internal_ports=2)
address_scope1 = {
str(lib_constants.IP_VERSION_4): internal_address_scope1}
address_scope2 = {
str(lib_constants.IP_VERSION_4): internal_address_scope2}
if gw_address_scope:
router_info['gw_port']['address_scopes'] = {
str(lib_constants.IP_VERSION_4): gw_address_scope}
router_info[lib_constants.INTERFACE_KEY][0]['address_scopes'] = (
address_scope1)
router_info[lib_constants.INTERFACE_KEY][1]['address_scopes'] = (
address_scope2)
router = self.manage_router(self.agent, router_info)
router_ip_cidr1 = self._port_first_ip_cidr(router.internal_ports[0])
router_ip1 = router_ip_cidr1.partition('/')[0]
router_ip_cidr2 = self._port_first_ip_cidr(router.internal_ports[1])
router_ip2 = router_ip_cidr2.partition('/')[0]
br_int = framework.get_ovs_bridge(
self.agent.conf.ovs_integration_bridge)
test_machine1 = self.useFixture(
machine_fixtures.FakeMachine(
br_int,
net_helpers.increment_ip_cidr(router_ip_cidr1),
router_ip1))
test_machine2 = self.useFixture(
machine_fixtures.FakeMachine(
br_int,
net_helpers.increment_ip_cidr(router_ip_cidr2),
router_ip2))
return test_machine1, test_machine2, router
def test_connection_from_same_address_scope(self):
test_machine1, test_machine2, _ = self._setup_address_scope(
'scope1', 'scope1')
# Internal networks that are in the same address scope can connected
# each other
net_helpers.assert_ping(test_machine1.namespace, test_machine2.ip)
net_helpers.assert_ping(test_machine2.namespace, test_machine1.ip)
def test_connection_from_diff_address_scope(self):
test_machine1, test_machine2, _ = self._setup_address_scope(
'scope1', 'scope2')
# Internal networks that are not in the same address scope should
# not reach each other
test_machine1.assert_no_ping(test_machine2.ip)
test_machine2.assert_no_ping(test_machine1.ip)
def test_fip_connection_for_address_scope(self):
(machine_same_scope, machine_diff_scope,
router) = self._setup_address_scope('scope1', 'scope2', 'scope1')
router.router[lib_constants.FLOATINGIP_KEY] = []
fip_same_scope = '19.4.4.10'
self._add_fip(router, fip_same_scope,
fixed_address=machine_same_scope.ip,
fixed_ip_address_scope='scope1')
fip_diff_scope = '19.4.4.11'
self._add_fip(router, fip_diff_scope,
fixed_address=machine_diff_scope.ip,
fixed_ip_address_scope='scope2')
router.process()
br_ex = framework.get_ovs_bridge(
self.agent.conf.external_network_bridge)
src_machine = self.useFixture(
machine_fixtures.FakeMachine(br_ex, '19.4.4.12/24'))
# Floating ip should work no matter of address scope
net_helpers.assert_ping(src_machine.namespace, fip_same_scope)
net_helpers.assert_ping(src_machine.namespace, fip_diff_scope)
def test_direct_route_for_address_scope(self):
(machine_same_scope, machine_diff_scope,
router) = self._setup_address_scope('scope1', 'scope2', 'scope1')
gw_port = router.get_ex_gw_port()
gw_ip = self._port_first_ip_cidr(gw_port).partition('/')[0]
br_ex = framework.get_ovs_bridge(
self.agent.conf.external_network_bridge)
src_machine = self.useFixture(
machine_fixtures.FakeMachine(br_ex, '19.4.4.12/24', gw_ip))
# For the internal networks that are in the same address scope as
# external network, they can directly route to external network
net_helpers.assert_ping(src_machine.namespace, machine_same_scope.ip)
# For the internal networks that are not in the same address scope as
# external networks. SNAT will be used. Direct route will not work
# here.
src_machine.assert_no_ping(machine_diff_scope.ip)
def test_connection_from_diff_address_scope_with_fip(self):
(machine_same_scope, machine_diff_scope,
router) = self._setup_address_scope('scope1', 'scope2', 'scope1')
router.router[lib_constants.FLOATINGIP_KEY] = []
fip = '19.4.4.11'
self._add_fip(router, fip,
fixed_address=machine_diff_scope.ip,
fixed_ip_address_scope='scope2')
router.process()
# For the internal networks that are in the same address scope as
# external network, they should be able to reach the floating ip
net_helpers.assert_ping(machine_same_scope.namespace, fip)
# For the port with fip, it should be able to reach the internal
# networks that are in the same address scope as external network
net_helpers.assert_ping(machine_diff_scope.namespace,
machine_same_scope.ip)
| [
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] | |
5ae87f822d3e84a9ad09251271d260615c2fb3e0 | 913674143b4cbc8df4b93975169758c17e4d7972 | /MyScrapyTencent/MyScrapyTencent/pipelines.py | 58a79ba46c011cefb115bb334ef40f9692f9d9c6 | [] | no_license | HeywoodKing/Scrapy-Examples | e8dca55767537609d5a6e5ba426c58dbb4669610 | e6e5415cc42c234c25ce43ad0c4227364798af3c | refs/heads/master | 2020-05-16T12:51:25.206950 | 2019-04-26T12:25:34 | 2019-04-26T12:25:34 | 183,056,875 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 612 | py | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import json
class MyscrapytencentPipeline(object):
"""
功能：保存item数据
"""
def __init__(self):
self.filename = open("tencent.json", "wb")
def process_item(self, item, spider):
text = json.dumps(dict(item), ensure_ascii=False) + ",\n"
self.filename.write(text.encode("utf-8"))
return item
def close_spider(self, spider):
self.filename.close()
| [
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] | |
6da511645e7a197feda5f07313d5b595c8da81ab | bb726031eb8ab8e690786a766b679f0666695c10 | /urlhunter/blueprints/main.py | d01b118d39775b17480b5a7e51a603c41b8cc29b | [] | no_license | nsdown/urlhunter | 01fd9348fc36b2e7f6cebb3488ea5fb021e54fef | 1181d89d2f8c731e9693ec14a2fc4beee5b85d71 | refs/heads/master | 2020-04-13T01:18:56.216614 | 2018-12-23T04:17:52 | 2018-12-23T04:17:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,085 | py | import requests
from more_itertools import flatten
from flask import Blueprint, render_template, flash, redirect, url_for, request, current_app, Markup
from flask_login import login_required, current_user
from urlhunter.forms import URLForm, RegexForm
from urlhunter.utils import links
from urlhunter.models import Url, Regex
from urlhunter.extensions import db
bp = Blueprint('main', __name__)
@bp.route('/')
def index():
return render_template('main/index.html')
@bp.route('/extract', methods=['GET', 'POST'])
@login_required
def extract():
form = URLForm()
extracted_urls = None
if form.validate_on_submit():
try:
if Url.query.count() > current_app.config['URL_LIMIT']:
raise Exception(f"URL超限了！请先清空！[{Url.query.count()}/{current_app.config['URL_LIMIT']}]")
urls = form.urls.data.split('\n')
headers = {
'User-Agent':
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36'
}
responses = [
requests.get(url.strip(), headers=headers) for url in urls
]
if form.search.data:
if form.use_regex.data is True:
extracted_urls = [
links(resp, pattern=form.search.data)
for resp in responses
]
else:
extracted_urls = [
links(resp, search=form.search.data)
for resp in responses
]
else:
extracted_urls = [links(resp) for resp in responses]
extracted_urls = list(flatten(extracted_urls))
if len(extracted_urls) == 0:
raise Exception('啊嘞？啥都没捕捉到哦U_U')
except Exception as e:
flash(e, 'danger')
else:
flash(
Markup(
f"成功捕获到{len(extracted_urls)}条url XD <a href={url_for('main.show_urls')}>立即查看</a>"
), 'success')
for extracted_url in extracted_urls:
if not Url.query.filter_by(body=extracted_url).first():
url = Url(
body=extracted_url,
owner=current_user._get_current_object())
db.session.add(url)
db.session.commit()
return redirect(url_for('main.extract'))
form.urls.data = request.args.get('urls')
form.search.data = request.args.get('search')
form.use_regex.data = bool(request.args.get('use_regex'))
return render_template(
'main/extract.html', form=form, extracted_urls=extracted_urls)
@bp.route('/urls')
@login_required
def show_urls():
page = request.args.get('page', 1, type=int)
per_page = current_app.config['URL_PER_PAGE']
current_user_urls = Url.query.with_parent(current_user)
pagination = current_user_urls.order_by(
Url.timestamp.desc()).paginate(page, per_page)
urls = pagination.items
outputs = '\n'.join([url.body for url in current_user_urls.all()])
exclude_strings = request.args.get('exclude')
if exclude_strings:
urls, outputs = exclude_urls(exclude_strings, urls, current_user_urls)
return render_template('main/urls.html', urls=urls, pagination=pagination, outputs=outputs)
@bp.route('/urls/delete/all', methods=['POST'])
@login_required
def delete_urls():
urls = Url.query.with_parent(current_user._get_current_object()).all()
db.session.execute('delete from url')
db.session.commit()
flash('操作成功！', 'success')
return redirect(url_for('main.show_urls'))
@bp.route('/urls/search')
@login_required
def search_urls():
q = request.args.get('q', '')
if q == '':
flash('请输入要搜索的URL', 'warning')
return redirect(url_for('main.show_urls'))
page = request.args.get('page', 1, type=int)
per_page = current_app.config['SEARCH_PER_PAGE']
searched_urls = Url.query.with_parent(current_user).filter(Url.body.ilike(f'%{q}%'))
pagination = searched_urls.paginate(page, per_page)
results = pagination.items
outputs = '\n'.join([url.body for url in searched_urls.all()])
exclude_strings = request.args.get('exclude')
if exclude_strings:
results, outputs = exclude_urls(exclude_strings, results, searched_urls)
return render_template('main/search.html', pagination=pagination, results=results, q=q, outputs=outputs)
@bp.route('/regexs')
@login_required
def show_regexs():
page = request.args.get('page', 1, type=int)
per_page = current_app.config['REGEX_PER_PAGE']
pagination = Regex.query.with_parent(current_user).paginate(page, per_page)
regexs = pagination.items
return render_template('main/regexs.html', regexs=regexs, pagination=pagination)
@bp.route('/regexs/upload', methods=['GET', 'POST'])
@login_required
def upload_regex():
form = RegexForm()
if form.validate_on_submit():
name = form.name.data
site = form.site.data
body = form.body.data
regex = Regex(name=name, site=site, body=body, author=current_user._get_current_object())
db.session.add(regex)
db.session.commit()
flash('添加成功！', 'success')
return redirect(url_for('main.show_regexs'))
return render_template('main/upload.html', form=form)
@bp.route('/help')
def show_help():
return render_template('main/help.html')
@bp.app_template_global()
def exclude_urls(exclude_strings, paginated_urls, all_urls):
exclude_strings = exclude_strings.split(',')
excluded_paginated_urls = [url for url in paginated_urls if not any(es in url.body for es in exclude_strings)]
excluded_all_urls = [url for url in all_urls.all() if not any(es in url.body for es in exclude_strings)]
excluded_outputs = '\n'.join([url.body for url in excluded_all_urls])
return excluded_paginated_urls, excluded_outputs
| [
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] | |
74a43811de7ca3ae9cbfc985a1b448131b33fde9 | fe4f2aeb889f939ea6caf4a34371a3558064abcd | /vlmap_memft/model_vlmap_wordset_only_withatt.py | 55a10294930c0cb98ffa90ac98ff4e0ca9d52a50 | [
"MIT"
] | permissive | HyeonwooNoh/VQA-Transfer-ExternalData | cf9c1b82dd55389dfe5f52d8fd196780dd3d4629 | d21b700bcdc3ba3c392ff793b3f5efe23eb68ed6 | refs/heads/master | 2021-10-25T22:58:00.318492 | 2019-04-08T04:52:46 | 2019-04-08T04:52:46 | 122,662,354 | 21 | 3 | null | null | null | null | UTF-8 | Python | false | false | 28,746 | py | import cPickle
import os
import tensorflow as tf
from vlmap import modules
TOP_K = 5
W_DIM = 300 # Word dimension
L_DIM = 1024 # Language dimension
V_DIM = 1024
class Model(object):
def __init__(self, batch, config, is_train=True):
self.batch = batch
self.config = config
self.data_cfg = config.data_cfg
self.data_dir = config.data_dir
self.is_train = is_train
self.losses = {}
self.report = {}
self.mid_result = {}
self.vis_image = {}
vocab_path = os.path.join(self.data_dir, 'vocab.pkl')
self.vocab = cPickle.load(open(vocab_path, 'rb'))
answer_dict_path = os.path.join(self.data_dir, 'answer_dict.pkl')
self.answer_dict = cPickle.load(open(answer_dict_path, 'rb'))
self.num_answer = len(self.answer_dict['vocab'])
ws_dict_path = os.path.join(self.data_dir, 'wordset_dict5.pkl')
self.ws_dict = cPickle.load(open(ws_dict_path, 'rb'))
self.num_ws = len(self.ws_dict['vocab'])
self.wordset_map = modules.learn_embedding_map(
self.ws_dict, scope='wordset_map')
self.v_word_map = modules.LearnGloVe(self.vocab, scope='V_GloVe')
self.l_word_map = modules.LearnGloVe(self.vocab, scope='L_GloVe')
self.l_answer_word_map = modules.LearnAnswerGloVe(self.answer_dict)
self.build()
def filter_train_vars(self, trainable_vars):
train_vars = []
for var in trainable_vars:
if var.name.split('/')[0] == 'LearnAnswerGloVe':
train_vars.append(var)
else: train_vars.append(var)
return train_vars
def build(self):
"""
build network architecture and loss
"""
self.mid_result['v_linear_v'] = modules.fc_layer(
self.batch['image_ft'], V_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='v_linear_v')
self.build_object_attention()
self.build_attribute_attention()
self.build_object_wordset()
self.build_attribute_wordset()
self.build_caption_attention()
self.loss = 0
for loss in self.losses.values():
self.loss = self.loss + loss
self.report['total_loss'] = self.loss
# scalar summary
for key, val in self.report.items():
tf.summary.scalar('train/{}'.format(key), val,
collections=['heavy_train', 'train'])
tf.summary.scalar('val/{}'.format(key), val,
collections=['heavy_val', 'val'])
# image summary
for key, val in self.vis_image.items():
tf.summary.image('train-{}'.format(key), val, max_outputs=10,
collections=['heavy_train'])
tf.summary.image('val-{}'.format(key), val, max_outputs=10,
collections=['heavy_val'])
return self.loss
def build_object_predict(self):
"""
object_predict
"""
# [#obj, #proposal] x [#proposal x feat_dim] -> [#obj,feat_dim]
V_ft = tf.matmul(self.batch['obj_pred/weights'],
self.batch['image_ft'])
v_linear_l = modules.fc_layer(
V_ft, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='pooled_linear_l')
dummy_l = tf.zeros_like(self.batch['obj_pred/labels'], dtype=tf.float32)
dummy_l = tf.tile(tf.expand_dims(dummy_l, axis=-1), [1, 1, L_DIM])
l_linear_l = modules.fc_layer(
dummy_l, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='q_linear_l')
joint = modules.fc_layer(
v_linear_l * l_linear_l, L_DIM * 2,
use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train, scope='joint_fc')
joint = tf.nn.dropout(joint, 0.5)
logit = modules.fc_layer(
joint, self.num_answer,
use_bias=True, use_bn=False, use_ln=False,
activation_fn=None, is_training=self.is_train, scope='classifier')
self.mid_result['obj_pred/logit'] = logit # [bs, #obj, #answer]
with tf.name_scope('loss/object_predict'):
onehot_gt = tf.one_hot(self.batch['obj_pred/labels'],
depth=self.num_answer)
num_valid_entry = self.batch['obj_pred/num']
valid_mask = tf.sequence_mask(
num_valid_entry, maxlen=self.data_cfg.n_obj_pred,
dtype=tf.float32)
loss, acc, top_k_acc = \
self.n_way_classification_loss(logit, onehot_gt, valid_mask)
self.losses['object_pred'] = loss
self.report['object_pred_loss'] = loss
self.report['object_pred_acc'] = acc
self.report['object_pred_top_{}_acc'.format(TOP_K)] = top_k_acc
def build_attribute_predict(self):
"""
attribute_predict
"""
# [#attr, #proposal] x [#proposal x feat_dim] -> [#attr,feat_dim]
V_ft = tf.matmul(self.batch['attr_pred/weights'],
self.batch['image_ft'])
v_linear_l = modules.fc_layer(
V_ft, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='pooled_linear_l')
L_ft = tf.nn.embedding_lookup(self.l_answer_word_map,
self.batch['attr_pred/object_labels'])
reg_l_ft = modules.fc_layer(
L_ft, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.tanh, is_training=self.is_train,
scope='attr_pred/encode_object_labels')
self.mid_result['attr_pred/reg_l_ft'] = reg_l_ft
l_linear_l = modules.fc_layer(
reg_l_ft, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='q_linear_l')
joint = modules.fc_layer(
v_linear_l * l_linear_l, L_DIM * 2,
use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train, scope='joint_fc')
joint = tf.nn.dropout(joint, 0.5)
logit = modules.fc_layer(
joint, self.num_answer,
use_bias=True, use_bn=False, use_ln=False,
activation_fn=None, is_training=self.is_train, scope='classifier')
self.mid_result['attr_pred/logit'] = logit # [bs, #attr, #answer]
with tf.name_scope('loss/attr_predict'):
multilabel_gt = self.batch['attr_pred/labels']
num_valid_entry = self.batch['attr_pred/num']
valid_mask = tf.sequence_mask(
num_valid_entry, maxlen=self.data_cfg.n_attr_pred,
dtype=tf.float32)
loss, acc, recall, precision, top_1_prec, top_k_recall = \
self.binary_classification_loss(logit, multilabel_gt, valid_mask,
depth=self.num_answer)
self.losses['attr_pred'] = loss
self.report['attr_pred_loss'] = loss
self.report['attr_pred_acc'] = acc
self.report['attr_pred_recall'] = recall
self.report['attr_pred_precision'] = precision
self.report['attr_pred_top_1_prec'] = top_1_prec
self.report['attr_pred_top_{}_recall'.format(TOP_K)] = top_k_recall
def build_object_attention(self):
"""
object_attention
"""
num_V_ft = self.batch['num_boxes']
v_linear_v = self.mid_result['v_linear_v']
w_embed = tf.nn.embedding_lookup(self.v_word_map,
self.batch['obj_att/word_tokens'])
w_L_ft = modules.fc_layer( # [bs, #proposal, len, L_DIM]
w_embed, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='v_word_fc')
w_len = self.batch['obj_att/word_tokens_len']
mask = tf.sequence_mask( # [bs, #proposal, len]
w_len, maxlen=tf.shape(w_L_ft)[-2],
dtype=tf.float32)
pooled_w_L_ft = tf.reduce_sum(w_L_ft * tf.expand_dims(mask, axis=-1),
axis=-2)
pooled_w_L_ft = pooled_w_L_ft / \
tf.expand_dims(tf.to_float(w_len), axis=-1)
l_linear_v = modules.fc_layer(
pooled_w_L_ft, V_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='q_linear_v')
tile_v_linear_v = tf.tile(tf.expand_dims(v_linear_v, axis=1),
[1, self.data_cfg.n_obj_att, 1, 1])
flat_tile_v_linear_v = tf.reshape(tile_v_linear_v,
[-1, self.data_cfg.max_box_num, V_DIM])
tile_num_V_ft = tf.tile(tf.expand_dims(num_V_ft, axis=1),
[1, self.data_cfg.n_obj_att])
flat_tile_num_V_ft = tf.reshape(tile_num_V_ft, [-1])
flat_l_linear_v = tf.reshape(l_linear_v, [-1, V_DIM])
# flat_att_logit: [bs * #obj, num_proposal]
flat_att_logit = modules.hadamard_attention(
flat_tile_v_linear_v, flat_tile_num_V_ft, flat_l_linear_v,
use_ln=False, is_train=self.is_train, normalizer=None)
n_entry = self.data_cfg.n_obj_att
n_proposal = self.data_cfg.max_box_num
logit = tf.reshape(flat_att_logit, [-1, n_entry, n_proposal])
with tf.name_scope('loss/object_attend'):
multilabel_gt = tf.to_float(
tf.greater(self.batch['obj_att/att_scores'], 0.5))
num_valid_entry = self.batch['obj_att/num']
valid_mask = tf.sequence_mask(
num_valid_entry, maxlen=self.data_cfg.n_obj_att,
dtype=tf.float32)
loss, acc, recall, precision, top_1_prec, top_k_recall = \
self.binary_classification_loss(logit, multilabel_gt, valid_mask,
depth=self.data_cfg.max_box_num)
self.losses['object_att'] = loss
self.report['object_att_loss'] = loss
self.report['object_att_acc'] = acc
self.report['object_att_recall'] = recall
self.report['object_att_precision'] = precision
self.report['object_att_top_1_prec'] = top_1_prec
self.report['object_att_top_{}_recall'.format(TOP_K)] = top_k_recall
def build_attribute_attention(self):
"""
attribute_attention
"""
num_V_ft = self.batch['num_boxes']
v_linear_v = self.mid_result['v_linear_v']
w_embed = tf.nn.embedding_lookup(self.v_word_map,
self.batch['attr_att/word_tokens'])
w_L_ft = modules.fc_layer(
w_embed, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='v_word_fc')
w_len = self.batch['attr_att/word_tokens_len']
mask = tf.sequence_mask( # [bs, #proposal, len]
w_len, maxlen=tf.shape(w_L_ft)[-2],
dtype=tf.float32)
pooled_w_L_ft = tf.reduce_sum(w_L_ft * tf.expand_dims(mask, axis=-1),
axis=-2)
pooled_w_L_ft = pooled_w_L_ft / \
tf.expand_dims(tf.to_float(w_len), axis=-1)
l_linear_v = modules.fc_layer(
pooled_w_L_ft, V_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='q_linear_v')
tile_v_linear_v = tf.tile(tf.expand_dims(v_linear_v, axis=1),
[1, self.data_cfg.n_attr_att, 1, 1])
flat_tile_v_linear_v = tf.reshape(tile_v_linear_v,
[-1, self.data_cfg.max_box_num, V_DIM])
tile_num_V_ft = tf.tile(tf.expand_dims(num_V_ft, axis=1),
[1, self.data_cfg.n_attr_att])
flat_tile_num_V_ft = tf.reshape(tile_num_V_ft, [-1])
flat_l_linear_v = tf.reshape(l_linear_v, [-1, V_DIM])
# flat_att_logit: [bs * #attr, num_proposal]
flat_att_logit = modules.hadamard_attention(
flat_tile_v_linear_v, flat_tile_num_V_ft, flat_l_linear_v,
use_ln=False, is_train=self.is_train, normalizer=None)
n_entry = self.data_cfg.n_attr_att
n_proposal = self.data_cfg.max_box_num
logit = tf.reshape(flat_att_logit, [-1, n_entry, n_proposal])
with tf.name_scope('loss/attr_attend'):
multilabel_gt = tf.to_float(
tf.greater(self.batch['attr_att/att_scores'], 0.5))
num_valid_entry = self.batch['attr_att/num']
valid_mask = tf.sequence_mask(
num_valid_entry, maxlen=self.data_cfg.n_attr_att,
dtype=tf.float32)
loss, acc, recall, precision, top_1_prec, top_k_recall = \
self.binary_classification_loss(logit, multilabel_gt, valid_mask,
depth=self.data_cfg.max_box_num)
self.losses['attr_att'] = loss
self.report['attr_att_loss'] = loss
self.report['attr_att_acc'] = acc
self.report['attr_att_recall'] = recall
self.report['attr_att_precision'] = precision
self.report['attr_att_top_1_prec'] = top_1_prec
self.report['attr_att_top_{}_recall'.format(TOP_K)] = top_k_recall
def build_object_wordset(self):
"""
object_wordset
"""
V_ft = self.batch['image_ft'] # [bs, #proposal, #feat_dim]
V_ft = tf.expand_dims(V_ft, axis=1) # [bs, 1, #proposal, #feat_dim]
V_ft = tf.tile(V_ft, [1, self.data_cfg.n_obj_bf, 1, 1]) # [bs, #obj, #proposal, #feat_dim]
V_ft = tf.reshape(
V_ft, [-1, self.data_cfg.max_box_num, self.data_cfg.vfeat_dim]) # [bs * #obj, #proposal, #feat_dim]
num_V_ft = self.batch['num_boxes'] # [bs]
num_V_ft = tf.expand_dims(num_V_ft, axis=1) # [bs, 1]
num_V_ft = tf.tile(num_V_ft, [1, self.data_cfg.n_obj_bf]) # [bs, #obj]
num_V_ft = tf.reshape(num_V_ft, [-1]) # [bs * #obj]
v_linear_v = modules.fc_layer( # [bs * #obj, #proposal, V_DIM]
V_ft, V_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='wordset_v_linear_v')
wordset_embed = tf.tanh(tf.nn.embedding_lookup( # [bs, #obj, W_DIM]
self.wordset_map, self.batch['obj_blank_fill/wordsets']))
wordset_ft = modules.fc_layer( # [bs, #obj, L_DIM]
wordset_embed, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.tanh, is_training=self.is_train, scope='wordset_ft')
q_linear_v = modules.fc_layer( # [bs, #obj, V_DIM]
wordset_ft, V_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='wordset_q_linear_v')
flat_q_linear_v = tf.reshape(q_linear_v, [-1, V_DIM]) # [bs * #obj, V_DIM]
att_score = modules.hadamard_attention( # [bs * #obj, len]
v_linear_v, num_V_ft, flat_q_linear_v,
use_ln=False, is_train=self.is_train, scope='wordset_att')
flat_pooled_V_ft = modules.attention_pooling(V_ft, att_score) # [bs * #obj, vfeat_dim]
pooled_V_ft = tf.reshape(
flat_pooled_V_ft, [-1, self.data_cfg.n_obj_bf, self.data_cfg.vfeat_dim])
v_linear_l = modules.fc_layer(
pooled_V_ft, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='pooled_linear_l')
l_linear_l = modules.fc_layer(
wordset_ft, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='q_linear_l')
joint = modules.fc_layer(
v_linear_l * l_linear_l, L_DIM * 2,
use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train, scope='joint_fc')
joint = tf.nn.dropout(joint, 0.5)
logit = modules.fc_layer(
joint, self.num_answer,
use_bias=True, use_bn=False, use_ln=False,
activation_fn=None, is_training=self.is_train, scope='classifier')
self.mid_result['obj_blank_fill/logit'] = logit # [bs, #obj, #answer]
with tf.name_scope('loss/obj_wordset'):
onehot_gt = tf.one_hot(self.batch['obj_blank_fill/fills'],
depth=self.num_answer)
num_valid_entry = self.batch['obj_blank_fill/num']
valid_mask = tf.sequence_mask(
num_valid_entry, maxlen=self.data_cfg.n_obj_bf,
dtype=tf.float32)
loss, acc, top_k_acc = \
self.n_way_classification_loss(logit, onehot_gt, valid_mask)
self.losses['obj_wordset'] = loss
self.report['obj_wordset_loss'] = loss
self.report['obj_wordset_acc'] = acc
self.report['obj_wordset_top_{}_acc'.format(TOP_K)] = top_k_acc
def build_attribute_wordset(self):
"""
attribute_wordset
"""
V_ft = self.batch['image_ft'] # [bs, #proposal, #feat_dim]
V_ft = tf.expand_dims(V_ft, axis=1) # [bs, 1, #proposal, #feat_dim]
V_ft = tf.tile(V_ft, [1, self.data_cfg.n_attr_bf, 1, 1]) # [bs, #attr, #proposal, #feat_dim]
V_ft = tf.reshape(
V_ft, [-1, self.data_cfg.max_box_num, self.data_cfg.vfeat_dim]) # [bs * #attr, #proposal, #feat_dim]
num_V_ft = self.batch['num_boxes'] # [bs]
num_V_ft = tf.expand_dims(num_V_ft, axis=1) # [bs, 1]
num_V_ft = tf.tile(num_V_ft, [1, self.data_cfg.n_attr_bf]) # [bs, #attr]
num_V_ft = tf.reshape(num_V_ft, [-1]) # [bs * #attr]
v_linear_v = modules.fc_layer( # [bs * #attr, #proposal, V_DIM]
V_ft, V_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='wordset_v_linear_v')
wordset_embed = tf.tanh(tf.nn.embedding_lookup(
self.wordset_map, self.batch['attr_blank_fill/wordsets']))
wordset_ft = modules.fc_layer(
wordset_embed, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.tanh, is_training=self.is_train, scope='wordset_ft')
q_linear_v = modules.fc_layer( # [bs, #attr, V_DIM]
wordset_ft, V_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='wordset_q_linear_v')
flat_q_linear_v = tf.reshape(q_linear_v, [-1, V_DIM]) # [bs * #attr, V_DIM]
att_score = modules.hadamard_attention( # [bs * #attr, len]
v_linear_v, num_V_ft, flat_q_linear_v,
use_ln=False, is_train=self.is_train, scope='wordset_att')
flat_pooled_V_ft = modules.attention_pooling(V_ft, att_score) # [bs * #attr, V_DIM]
pooled_V_ft = tf.reshape(
flat_pooled_V_ft, [-1, self.data_cfg.n_attr_bf, self.data_cfg.vfeat_dim])
v_linear_l = modules.fc_layer(
pooled_V_ft, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='pooled_linear_l')
l_linear_l = modules.fc_layer(
wordset_ft, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='q_linear_l')
joint = modules.fc_layer(
v_linear_l * l_linear_l, L_DIM * 2,
use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train, scope='joint_fc')
joint = tf.nn.dropout(joint, 0.5)
logit = modules.fc_layer(
joint, self.num_answer,
use_bias=True, use_bn=False, use_ln=False,
activation_fn=None, is_training=self.is_train, scope='classifier')
self.mid_result['attr_blank_fill/logit'] = logit # [bs, #attr, #answer]
with tf.name_scope('loss/attr_wordset'):
onehot_gt = tf.one_hot(self.batch['attr_blank_fill/fills'],
depth=self.num_answer)
num_valid_entry = self.batch['attr_blank_fill/num']
valid_mask = tf.sequence_mask(
num_valid_entry, maxlen=self.data_cfg.n_attr_bf,
dtype=tf.float32)
loss, acc, top_k_acc = \
self.n_way_classification_loss(logit, onehot_gt, valid_mask)
self.losses['attr_wordset'] = loss
self.report['attr_wordset_loss'] = loss
self.report['attr_wordset_acc'] = acc
self.report['attr_wordset_top_{}_acc'.format(TOP_K)] = top_k_acc
def build_caption_attention(self):
"""
caption_attention
"""
num_V_ft = self.batch['num_boxes']
v_linear_v = self.mid_result['v_linear_v']
w_embed = tf.nn.embedding_lookup(self.v_word_map,
self.batch['cap_att/word_tokens'])
w_L_ft = modules.fc_layer( # [bs, #proposal, len, L_DIM]
w_embed, L_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='v_word_fc')
w_len = self.batch['cap_att/word_tokens_len']
mask = tf.sequence_mask( # [bs, #proposal, len]
w_len, maxlen=tf.shape(w_L_ft)[-2],
dtype=tf.float32)
pooled_w_L_ft = tf.reduce_sum(w_L_ft * tf.expand_dims(mask, axis=-1),
axis=-2)
pooled_w_L_ft = pooled_w_L_ft / \
tf.expand_dims(tf.to_float(w_len), axis=-1)
l_linear_v = modules.fc_layer(
pooled_w_L_ft, V_DIM, use_bias=True, use_bn=False, use_ln=True,
activation_fn=tf.nn.relu, is_training=self.is_train,
scope='q_linear_v')
tile_v_linear_v = tf.tile(tf.expand_dims(v_linear_v, axis=1),
[1, self.data_cfg.n_cap_att, 1, 1])
flat_tile_v_linear_v = tf.reshape(tile_v_linear_v,
[-1, self.data_cfg.max_box_num, V_DIM])
tile_num_V_ft = tf.tile(tf.expand_dims(num_V_ft, axis=1),
[1, self.data_cfg.n_cap_att])
flat_tile_num_V_ft = tf.reshape(tile_num_V_ft, [-1])
flat_l_linear_v = tf.reshape(l_linear_v, [-1, V_DIM])
# flat_att_logit: [bs * #obj, num_proposal]
flat_att_logit = modules.hadamard_attention(
flat_tile_v_linear_v, flat_tile_num_V_ft, flat_l_linear_v,
use_ln=False, is_train=self.is_train, normalizer=None)
n_entry = self.data_cfg.n_cap_att
n_proposal = self.data_cfg.max_box_num
logit = tf.reshape(flat_att_logit, [-1, n_entry, n_proposal])
with tf.name_scope('loss/caption_attend'):
multilabel_gt = tf.to_float(
tf.greater(self.batch['cap_att/att_scores'], 0.5))
num_valid_entry = self.batch['cap_att/num']
valid_mask = tf.sequence_mask(
num_valid_entry, maxlen=self.data_cfg.n_cap_att,
dtype=tf.float32)
loss, acc, recall, precision, top_1_prec, top_k_recall = \
self.binary_classification_loss(logit, multilabel_gt, valid_mask,
depth=self.data_cfg.max_box_num)
self.losses['caption_att'] = loss
self.report['caption_att_loss'] = loss
self.report['caption_att_acc'] = acc
self.report['caption_att_recall'] = recall
self.report['caption_att_precision'] = precision
self.report['caption_att_top_1_prec'] = top_1_prec
self.report['caption_att_top_{}_recall'.format(TOP_K)] = top_k_recall
def n_way_classification_loss(self, logits, labels, mask=None):
# Loss
cross_entropy = tf.nn.softmax_cross_entropy_with_logits_v2(
labels=labels, logits=logits, dim=-1)
if mask is None:
loss = tf.reduce_mean(cross_entropy)
else:
loss = tf.reduce_sum(cross_entropy * mask) / tf.reduce_sum(mask)
# Top-1 Accuracy
label_token = tf.cast(tf.argmax(labels, axis=-1), tf.int32)
logit_token = tf.cast(tf.argmax(logits, axis=-1), tf.int32)
correct = tf.to_float(tf.equal(label_token, logit_token))
if mask is None:
acc = tf.reduce_mean(correct)
else:
acc = tf.reduce_sum(correct * mask) / tf.reduce_sum(mask)
# Top-K Accuracy
_, top_k_pred = tf.nn.top_k(logits, k=TOP_K)
k_label_token = tf.tile(
tf.expand_dims(label_token, axis=-1), [1, 1, TOP_K])
top_k_correct = tf.to_float(tf.reduce_any(
tf.equal(k_label_token, top_k_pred), axis=-1))
if mask is None:
top_k_acc = tf.reduce_mean(top_k_correct)
else:
top_k_acc = tf.reduce_sum(top_k_correct * mask) / tf.reduce_sum(mask)
return loss, acc, top_k_acc
def binary_classification_loss(self, logits, labels, mask=None, depth=None):
# Loss
cross_entropy = tf.nn.sigmoid_cross_entropy_with_logits(
labels=labels, logits=logits)
cross_entropy = tf.reduce_sum(cross_entropy, axis=-1) # sum over dim
if mask is None:
loss = tf.reduce_mean(cross_entropy)
else:
loss = tf.reduce_sum(cross_entropy * mask) / tf.reduce_sum(mask)
if depth is not None:
pred = tf.cast(tf.argmax(logits, axis=-1), tf.int32)
onehot_pred = tf.one_hot(pred, depth=depth, dtype=tf.float32)
top_1_prec = tf.reduce_sum(onehot_pred * labels, axis=-1)
if mask is None:
top_1_prec = tf.reduce_mean(top_1_prec)
else:
top_1_prec = tf.reduce_sum(top_1_prec * mask) / \
tf.reduce_sum(mask)
_, top_k_pred = tf.nn.top_k(logits, k=TOP_K) # [bs, n, TOP_K]
onehot_top_k_pred = tf.one_hot( # [bs, n, TOP_K, depth]
top_k_pred, depth=depth, dtype=tf.float32)
top_k_hot_pred = tf.reduce_sum(
onehot_top_k_pred, axis=2) # [bs, n, depth] n-hot vector
num_correct_1 = tf.reduce_sum(top_k_hot_pred * labels, axis=-1)
num_label_1 = tf.minimum(
tf.reduce_sum(labels, axis=-1), TOP_K)
top_k_recall = num_correct_1 / num_label_1
if mask is None:
top_k_recall = tf.reduce_mean(top_k_recall)
else:
top_k_recall = tf.reduce_sum(top_k_recall * mask) / \
tf.reduce_sum(mask)
binary_pred = tf.cast(tf.greater(logits, 0), tf.int32)
binary_label = tf.cast(labels, tf.int32)
tp = tf.to_float(tf.logical_and(tf.equal(binary_pred, 1),
tf.equal(binary_label, 1)))
fp = tf.to_float(tf.logical_and(tf.equal(binary_pred, 1),
tf.equal(binary_label, 0)))
tn = tf.to_float(tf.logical_and(tf.equal(binary_pred, 0),
tf.equal(binary_label, 0)))
fn = tf.to_float(tf.logical_and(tf.equal(binary_pred, 0),
tf.equal(binary_label, 1)))
if mask is not None:
expand_mask = tf.expand_dims(mask, axis=-1)
tp = tp * expand_mask
fp = fp * expand_mask
tn = tn * expand_mask
fn = fn * expand_mask
n_tp = tf.reduce_sum(tp) # true positive
n_fp = tf.reduce_sum(fp) # false positive
n_tn = tf.reduce_sum(tn) # true negative
n_fn = tf.reduce_sum(fn) # false negative
acc = (n_tp + n_tn) / (n_tp + n_fp + n_tn + n_fn + 1e-12)
recall = (n_tp) / (n_tp + n_fn + 1e-12)
precision = (n_tp) / (n_tp + n_fp + 1e-12)
ret = [loss, acc, recall, precision]
if depth is not None:
ret.extend([top_1_prec, top_k_recall])
return tuple(ret)
| [
"[email protected]"
] | |
b93b4f5be48c893c85210950d92f8401699b04e8 | 3e7acb0962da48f29875d581c424ebbd3a98437c | /test/test_timeslotpage.py | cff39a4c93196a3844ea72a47ba486249dc72d75 | [] | no_license | crazypoo/geniusbar-reserver | ae02373bfaf24c5fdcd230c747c162ef259c2396 | b5d1981b59d998d8f110c87e8c5aa7ebe067f96c | refs/heads/master | 2021-01-21T08:14:52.607615 | 2014-12-13T05:41:14 | 2014-12-13T05:41:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,289 | py | import sys
if '../' not in sys.path:
sys.path.append('../')
from sites.apple_main import AppleGeniusBarReservation
from sites.apple_genius_bar.store_page import GeniusbarPage
import sys
reload(sys)
import os
sys.setdefaultencoding('utf-8')
cwd = os.path.abspath(os.getcwd())
# sites
sys.path.append(os.path.join(cwd, '../gui'))
sys.path.append(os.path.join(cwd, '../proxy'))
sys.path.append(os.path.join(cwd, '../sites'))
sys.path.append(os.path.join(cwd, '../utils'))
def test_timeslotpage():
appleGeniusBarReservation = AppleGeniusBarReservation({})
page = GeniusbarPage('')
f = open('timeslots.htm', 'r')
data = f.read()
f.close()
data = data.encode('utf-8', 'ignore')
ret, maxrow = appleGeniusBarReservation.buildTimeSlotsTable(page, data)
return ret, maxrow
#test_timeslotpage()
# -*- coding: utf-8 -*-
import sys
import os
from PyQt4 import QtGui
from gui.uidesigner.taskviewwidget import TaskViewWidget
def doubleclicked(timestr):
print(timestr)
def main(proxyServers=None):
data, maxrow = test_timeslotpage()
app = QtGui.QApplication(sys.argv)
main = TaskViewWidget()
main.fillTableWidget(data, maxrow)
main.sigTimeSlot.connect(doubleclicked)
main.show()
app.exec_()
if __name__ == "__main__":
main()
| [
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] | |
dda50d0d9bf5a626f3b2921adbcb876a38c06129 | 2bdedcda705f6dcf45a1e9a090377f892bcb58bb | /src/main/output/temp_man/lombok_database_family/idea_family/game_head.py | 8f2901d0914575e6572ca848757d9392e89f1bf6 | [] | no_license | matkosoric/GenericNameTesting | 860a22af1098dda9ea9e24a1fc681bb728aa2d69 | 03f4a38229c28bc6d83258e5a84fce4b189d5f00 | refs/heads/master | 2021-01-08T22:35:20.022350 | 2020-02-21T11:28:21 | 2020-02-21T11:28:21 | 242,123,053 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,092 | py | using System;
using System.Net;
using System.Net.Http;
using System.Threading.Tasks;
using Microsoft.Translator.API;
namespace CSharp_TranslateSample
{
public class Program
{
private const string SubscriptionKey = "774041bc63961f2d2f59c34b29325acd"; //Enter here the Key from your Microsoft Translator Text subscription on http://portal.azure.com
public static string traducida;
public static void Main(string[] args)
{
//TranslateAsync().Wait();
//Console.ReadKey();
}
public static void iniciar() {
TranslateAsync().Wait();
Console.ReadKey();
}
/// Demonstrates getting an access token and using the token to translate.
private static async Task TranslateAsync()
{
var translatorService = new TranslatorService.LanguageServiceClient();
var authTokenSource = new AzureAuthToken(SubscriptionKey);
var token = string.Empty;
try
{
token = await authTokenSource.GetAccessTokenAsync();
}
catch (HttpRequestException)
{
switch (authTokenSource.RequestStatusCode)
{
case HttpStatusCode.Unauthorized:
Console.WriteLine("Request to token service is not authorized (401). Check that the Azure subscription key is valid.");
break;
case HttpStatusCode.Forbidden:
Console.WriteLine("Request to token service is not authorized (403). For accounts in the free-tier, check that the account quota is not exceeded.");
break;
}
throw;
}
traducida = translatorService.Translate(token, "Hello World", "en", "fr", "text/plain", "general", string.Empty);
//Console.WriteLine("Translated to French: {0}", translatorService.Translate(token, "Hello World", "en", "fr", "text/plain", "general", string.Empty));
}
}
}
| [
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] | |
656c9f58562a43a8ffa99171fc48c4ef5fad535a | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/177/usersdata/271/100509/submittedfiles/pico.py | 392e7558a7b348a1605eca85241f40ce1d490a13 | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,668 | py | # -*- coding: utf-8 -*-
#FUNÇÕES
def crescente(lista) :
if len(lista)==1 :
return(False)
cont = 0
for i in range(0,len(lista),1) :
if (i==0) :
if(lista[i]<lista[i+1]) :
cont = cont+1
elif (i==len(lista)-1) :
if lista[len(lista-2)] < lista[len(lista)-1] :
cont = cont+1
else :
if lista[i]<lista[i+1] :
cont = cont+1
if cont == len(lista) :
return(True)
else :
return(False)
def decrescente(lista) :
if len(lista)==1 :
return(False)
cont = 0
for i in range(0,len(lista),1) :
if (i==0) :
if(lista[i]>lista[i+1]) :
cont = cont+1
elif (i==len(lista)-1) :
if lista[len(lista-2)] > lista[len(lista)-1] :
cont = cont+1
else :
if lista[i]>lista[i+1] :
cont = cont+1
if cont == len(lista) :
return(True)
else :
return(False)
def pico(lista):
maior = max(lista)
imaior = lista.index(maior)
an = []
de = []
for i in range(0,imaior+1,1):
elemento_an = lista[i]
an.append (elemento_an)
for i in range (maior+1,len(lista),1) :
elemento_de = lista[i]
de.append(elemento_de)
if crescente (an) and decrescente(de) :
return(True)
else :
return(False)
#ENTRADA
n = input('Digite a quantidade de elementos da lista: ')
a = []
for i in range(0,n,1) :
valor_a = float(input('Digite o elemento da lista a : '))
a.append(valor_a)
if pico(a) :
print('S')
else :
print('N')
| [
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] | |
567deda66b4abddd9fbccea623c2fb3c285bc502 | 21dd7d56c370ea9a02b66654525fd96a398a9e49 | /apps/userprofile/migrations/0012_auto_20150706_1530.py | f76414aec2906f0309739ccb3346f2edf38718b3 | [] | no_license | hqpr/fame | fdad5d03bf9ee7ca31ae8a4701ff05bafd49540f | 8b77e3a822ae70ee6d79a8003e1d9f9bc5ba8355 | refs/heads/master | 2023-01-14T16:58:46.533090 | 2015-08-31T15:37:09 | 2015-08-31T15:37:09 | 35,205,330 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 477 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
class Migration(migrations.Migration):
dependencies = [
('userprofile', '0011_auto_20150705_1058'),
]
operations = [
migrations.AlterField(
model_name='userprofile',
name='modified',
field=models.DateTimeField(default=datetime.datetime(2015, 7, 6, 15, 30, 35, 789165)),
),
]
| [
"[email protected]"
] | |
adf1685660cd92543833062dc2a15281ab6c7339 | bd4dcd90d41aa228f0384c9ba03edd105a93d7ec | /products/migrations/0093_auto_20200221_2053.py | 68291c6f83fef49583f1309c16f7b5252bc349da | [] | no_license | deganoth/mu-shop | 0be0bb0cfa635986b37edbe371daf8373f09aefd | dc1a77ecf6217286c005d762b559fe3f61ef2f6d | refs/heads/master | 2023-02-17T08:23:36.339586 | 2023-01-10T17:51:21 | 2023-01-10T17:51:21 | 243,972,792 | 0 | 1 | null | 2023-02-15T23:10:09 | 2020-02-29T13:22:02 | Python | UTF-8 | Python | false | false | 6,720 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.24 on 2020-02-21 20:53
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import djmoney.models.fields
class Migration(migrations.Migration):
dependencies = [
('products', '0092_auto_20200221_2045'),
]
operations = [
migrations.CreateModel(
name='ProductName',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
],
),
migrations.CreateModel(
name='Review',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('published_date', models.DateTimeField(verbose_name='date published')),
('user_name', models.CharField(max_length=100)),
('comment', models.CharField(max_length=200)),
('rating', models.IntegerField(choices=[(1, '1'), (2, '2'), (3, '3'), (4, '4'), (5, '5')])),
('product', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='products.ProductName')),
],
),
migrations.AlterField(
model_name='product',
name='price_currency',
field=djmoney.models.fields.CurrencyField(choices=[('XUA', 'ADB Unit of Account'), ('AFN', 'Afghani'), ('DZD', 'Algerian Dinar'), ('ARS', 'Argentine Peso'), ('AMD', 'Armenian Dram'), ('AWG', 'Aruban Guilder'), ('AUD', 'Australian Dollar'), ('AZN', 'Azerbaijanian Manat'), ('BSD', 'Bahamian Dollar'), ('BHD', 'Bahraini Dinar'), ('THB', 'Baht'), ('PAB', 'Balboa'), ('BBD', 'Barbados Dollar'), ('BYN', 'Belarussian Ruble'), ('BYR', 'Belarussian Ruble'), ('BZD', 'Belize Dollar'), ('BMD', 'Bermudian Dollar (customarily known as Bermuda Dollar)'), ('BTN', 'Bhutanese ngultrum'), ('VEF', 'Bolivar Fuerte'), ('BOB', 'Boliviano'), ('XBA', 'Bond Markets Units European Composite Unit (EURCO)'), ('BRL', 'Brazilian Real'), ('BND', 'Brunei Dollar'), ('BGN', 'Bulgarian Lev'), ('BIF', 'Burundi Franc'), ('XOF', 'CFA Franc BCEAO'), ('XAF', 'CFA franc BEAC'), ('XPF', 'CFP Franc'), ('CAD', 'Canadian Dollar'), ('CVE', 'Cape Verde Escudo'), ('KYD', 'Cayman Islands Dollar'), ('CLP', 'Chilean peso'), ('XTS', 'Codes specifically reserved for testing purposes'), ('COP', 'Colombian peso'), ('KMF', 'Comoro Franc'), ('CDF', 'Congolese franc'), ('BAM', 'Convertible Marks'), ('NIO', 'Cordoba Oro'), ('CRC', 'Costa Rican Colon'), ('HRK', 'Croatian Kuna'), ('CUP', 'Cuban Peso'), ('CUC', 'Cuban convertible peso'), ('CZK', 'Czech Koruna'), ('GMD', 'Dalasi'), ('DKK', 'Danish Krone'), ('MKD', 'Denar'), ('DJF', 'Djibouti Franc'), ('STD', 'Dobra'), ('DOP', 'Dominican Peso'), ('VND', 'Dong'), ('XCD', 'East Caribbean Dollar'), ('EGP', 'Egyptian Pound'), ('SVC', 'El Salvador Colon'), ('ETB', 'Ethiopian Birr'), ('EUR', 'Euro'), ('XBB', 'European Monetary Unit (E.M.U.-6)'), ('XBD', 'European Unit of Account 17(E.U.A.-17)'), ('XBC', 'European Unit of Account 9(E.U.A.-9)'), ('FKP', 'Falkland Islands Pound'), ('FJD', 'Fiji Dollar'), ('HUF', 'Forint'), ('GHS', 'Ghana Cedi'), ('GIP', 'Gibraltar Pound'), ('XAU', 'Gold'), ('XFO', 'Gold-Franc'), ('PYG', 'Guarani'), ('GNF', 'Guinea Franc'), ('GYD', 'Guyana Dollar'), ('HTG', 'Haitian gourde'), ('HKD', 'Hong Kong Dollar'), ('UAH', 'Hryvnia'), ('ISK', 'Iceland Krona'), ('INR', 'Indian Rupee'), ('IRR', 'Iranian Rial'), ('IQD', 'Iraqi Dinar'), ('IMP', 'Isle of Man Pound'), ('JMD', 'Jamaican Dollar'), ('JOD', 'Jordanian Dinar'), ('KES', 'Kenyan Shilling'), ('PGK', 'Kina'), ('LAK', 'Kip'), ('KWD', 'Kuwaiti Dinar'), ('AOA', 'Kwanza'), ('MMK', 'Kyat'), ('GEL', 'Lari'), ('LVL', 'Latvian Lats'), ('LBP', 'Lebanese Pound'), ('ALL', 'Lek'), ('HNL', 'Lempira'), ('SLL', 'Leone'), ('LSL', 'Lesotho loti'), ('LRD', 'Liberian Dollar'), ('LYD', 'Libyan Dinar'), ('SZL', 'Lilangeni'), ('LTL', 'Lithuanian Litas'), ('MGA', 'Malagasy Ariary'), ('MWK', 'Malawian Kwacha'), ('MYR', 'Malaysian Ringgit'), ('TMM', 'Manat'), ('MUR', 'Mauritius Rupee'), ('MZN', 'Metical'), ('MXV', 'Mexican Unidad de Inversion (UDI)'), ('MXN', 'Mexican peso'), ('MDL', 'Moldovan Leu'), ('MAD', 'Moroccan Dirham'), ('BOV', 'Mvdol'), ('NGN', 'Naira'), ('ERN', 'Nakfa'), ('NAD', 'Namibian Dollar'), ('NPR', 'Nepalese Rupee'), ('ANG', 'Netherlands Antillian Guilder'), ('ILS', 'New Israeli Sheqel'), ('RON', 'New Leu'), ('TWD', 'New Taiwan Dollar'), ('NZD', 'New Zealand Dollar'), ('KPW', 'North Korean Won'), ('NOK', 'Norwegian Krone'), ('PEN', 'Nuevo Sol'), ('MRO', 'Ouguiya'), ('TOP', 'Paanga'), ('PKR', 'Pakistan Rupee'), ('XPD', 'Palladium'), ('MOP', 'Pataca'), ('PHP', 'Philippine Peso'), ('XPT', 'Platinum'), ('GBP', 'Pound Sterling'), ('BWP', 'Pula'), ('QAR', 'Qatari Rial'), ('GTQ', 'Quetzal'), ('ZAR', 'Rand'), ('OMR', 'Rial Omani'), ('KHR', 'Riel'), ('MVR', 'Rufiyaa'), ('IDR', 'Rupiah'), ('RUB', 'Russian Ruble'), ('RWF', 'Rwanda Franc'), ('XDR', 'SDR'), ('SHP', 'Saint Helena Pound'), ('SAR', 'Saudi Riyal'), ('RSD', 'Serbian Dinar'), ('SCR', 'Seychelles Rupee'), ('XAG', 'Silver'), ('SGD', 'Singapore Dollar'), ('SBD', 'Solomon Islands Dollar'), ('KGS', 'Som'), ('SOS', 'Somali Shilling'), ('TJS', 'Somoni'), ('SSP', 'South Sudanese Pound'), ('LKR', 'Sri Lanka Rupee'), ('XSU', 'Sucre'), ('SDG', 'Sudanese Pound'), ('SRD', 'Surinam Dollar'), ('SEK', 'Swedish Krona'), ('CHF', 'Swiss Franc'), ('SYP', 'Syrian Pound'), ('BDT', 'Taka'), ('WST', 'Tala'), ('TZS', 'Tanzanian Shilling'), ('KZT', 'Tenge'), ('XXX', 'The codes assigned for transactions where no currency is involved'), ('TTD', 'Trinidad and Tobago Dollar'), ('MNT', 'Tugrik'), ('TND', 'Tunisian Dinar'), ('TRY', 'Turkish Lira'), ('TMT', 'Turkmenistan New Manat'), ('TVD', 'Tuvalu dollar'), ('AED', 'UAE Dirham'), ('XFU', 'UIC-Franc'), ('USD', 'US Dollar'), ('USN', 'US Dollar (Next day)'), ('UGX', 'Uganda Shilling'), ('CLF', 'Unidad de Fomento'), ('COU', 'Unidad de Valor Real'), ('UYI', 'Uruguay Peso en Unidades Indexadas (URUIURUI)'), ('UYU', 'Uruguayan peso'), ('UZS', 'Uzbekistan Sum'), ('VUV', 'Vatu'), ('CHE', 'WIR Euro'), ('CHW', 'WIR Franc'), ('KRW', 'Won'), ('YER', 'Yemeni Rial'), ('JPY', 'Yen'), ('CNY', 'Yuan Renminbi'), ('ZMK', 'Zambian Kwacha'), ('ZMW', 'Zambian Kwacha'), ('ZWD', 'Zimbabwe Dollar A/06'), ('ZWN', 'Zimbabwe dollar A/08'), ('ZWL', 'Zimbabwe dollar A/09'), ('PLN', 'Zloty')], default=None, editable=False, max_length=3, null=True),
),
migrations.AddField(
model_name='productname',
name='name',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='products.Product'),
),
]
| [
"[email protected]"
] | |
a3720504b0405edeb5fa1836f9f6c46354683a49 | d094ba0c8a9b1217fbf014aa79a283a49aabe88c | /env/lib/python3.6/site-packages/kombu/utils/limits.py | 833cb96a47fce4401f66851a80cdda399eb46c6a | [
"Apache-2.0"
] | permissive | Raniac/NEURO-LEARN | d9274e0baadd97bb02da54bdfcf6ca091fc1c703 | 3c3acc55de8ba741e673063378e6cbaf10b64c7a | refs/heads/master | 2022-12-25T23:46:54.922237 | 2020-09-06T03:15:14 | 2020-09-06T03:15:14 | 182,013,100 | 9 | 2 | Apache-2.0 | 2022-12-09T21:01:00 | 2019-04-18T03:57:00 | CSS | UTF-8 | Python | false | false | 2,195 | py | """
kombu.utils.limits
==================
Token bucket implementation for rate limiting.
"""
from __future__ import absolute_import
from kombu.five import monotonic
__all__ = ['TokenBucket']
class TokenBucket(object):
"""Token Bucket Algorithm.
See http://en.wikipedia.org/wiki/Token_Bucket
Most of this code was stolen from an entry in the ASPN Python Cookbook:
http://code.activestate.com/recipes/511490/
.. admonition:: Thread safety
This implementation is not thread safe. Access to a `TokenBucket`
instance should occur within the critical section of any multithreaded
code.
"""
#: The rate in tokens/second that the bucket will be refilled.
fill_rate = None
#: Maximum number of tokens in the bucket.
capacity = 1
#: Timestamp of the last time a token was taken out of the bucket.
timestamp = None
def __init__(self, fill_rate, capacity=1):
self.capacity = float(capacity)
self._tokens = capacity
self.fill_rate = float(fill_rate)
self.timestamp = monotonic()
def can_consume(self, tokens=1):
"""Return :const:`True` if the number of tokens can be consumed
from the bucket. If they can be consumed, a call will also consume the
requested number of tokens from the bucket. Calls will only consume
`tokens` (the number requested) or zero tokens -- it will never consume
a partial number of tokens."""
if tokens <= self._get_tokens():
self._tokens -= tokens
return True
return False
def expected_time(self, tokens=1):
"""Return the time (in seconds) when a new token is expected
to be available. This will not consume any tokens from the bucket."""
_tokens = self._get_tokens()
tokens = max(tokens, _tokens)
return (tokens - _tokens) / self.fill_rate
def _get_tokens(self):
if self._tokens < self.capacity:
now = monotonic()
delta = self.fill_rate * (now - self.timestamp)
self._tokens = min(self.capacity, self._tokens + delta)
self.timestamp = now
return self._tokens
| [
"[email protected]"
] | |
395d5d325531f6a44e47ababe037cd9701a736b0 | bc9f66258575dd5c8f36f5ad3d9dfdcb3670897d | /lib/surface/artifacts/files/__init__.py | efc655f736b989835c4478beee69c049eda522b7 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | google-cloud-sdk-unofficial/google-cloud-sdk | 05fbb473d629195f25887fc5bfaa712f2cbc0a24 | 392abf004b16203030e6efd2f0af24db7c8d669e | refs/heads/master | 2023-08-31T05:40:41.317697 | 2023-08-23T18:23:16 | 2023-08-23T18:23:16 | 335,182,594 | 9 | 2 | NOASSERTION | 2022-10-29T20:49:13 | 2021-02-02T05:47:30 | Python | UTF-8 | Python | false | false | 1,222 | py | # -*- coding: utf-8 -*- #
# Copyright 2022 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Command group for Artifact Registry files."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.calliope import base
class Files(base.Group):
"""Manage Artifact Registry files.
## EXAMPLES
To list all files in the current project and `artifacts/repository` and
`artifacts/location` properties are set,
run:
$ {command} list
To list files under repository my-repo in the current project and location,
run:
$ {command} list --repository=my-repo
"""
category = base.CI_CD_CATEGORY
| [
"[email protected]"
] | |
d28b2ba189d4cd74c177b25d287aeae3ef6cade1 | 74091dce735f281188d38d2f00d1a68e1d38ff7a | /pytest_udemy_params_datadriven_crossbrowser/tests/conftest.py | 8e184dcf876ae8b91e9a90573978768b1f73f6a5 | [] | no_license | nbiadrytski-zz/python-training | 96741aa0ef37bda32d049fde5938191025fe2924 | 559a64aae2db51e11812cea5ff602f25953e8070 | refs/heads/master | 2023-05-07T04:08:23.898161 | 2019-12-10T12:12:59 | 2019-12-10T12:12:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 506 | py | from pytest import fixture
from selenium import webdriver
import json
data_path = 'test_data.json'
def load_test_data(path):
with open(path) as data_file:
data = json.load(data_file)
return data
@fixture(params=load_test_data(data_path))
def tv_brand(request):
data = request.param
return data
@fixture(params=[webdriver.Chrome, webdriver.Firefox], ids=['Chrome', 'FF'])
def browser(request):
driver = request.param
drvr = driver()
yield drvr
drvr.quit() | [
"[email protected]"
] | |
e42d622c1426a68b75b5c9503972b27ca2794746 | f04089bf7df2b7cd4058f8df3ffe747c349afd60 | /multiply_strings.py | 77836126e3b8f258f7bf2527d3d6e09eaf5f1475 | [] | no_license | dbialon/LeetCode | d2a674f7c5ba51a3714ca46026d2a5d37681919d | d28c63779212519fe38e98b9f0e0cbf48137bc43 | refs/heads/master | 2023-01-12T06:27:32.516504 | 2020-11-18T11:35:00 | 2020-11-18T11:35:00 | 259,928,261 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,033 | py | # https://leetcode.com/problems/multiply-strings/
# given two non-negative integers num1 and num2 represented
# as strings, return the product of num1 and num2, also
# represented as a string.
def multiply(num1: str, num2: str) -> str:
if num1 == "0" or num2 == "0":
return "0"
table = {"1": 1, "2": 2, "3": 3, "4": 4, "5": 5, "6":6, "7": 7,
"8": 8, "9": 9, "0": 0}
n_1, n_2 = 0, 0
l1, l2 = len(num1), len(num2)
for i in range(l1):
n_1 += table[num1[i]] * 10 ** (l1 - i - 1)
for i in range(l2):
n_2 += table[num2[i]] * 10 ** (l2 - i - 1)
result = n_1 * n_2
num3 = ""
while result > 0:
# for key, value in table.items():
# if result % 10 == value:
# num3 = key + num3
num3 = chr(48 + result % 10) + num3
result //= 10
return num3
str_1 = "12312312312312312312313123123123123123123123123123123123"
str_2 = "13213213213213213213232132132132132132132132132132132132"
print(multiply(str_1, str_2))
| [
"[email protected]"
] | |
be74904cdc25d4d4c7cf0e60588433a0cca13e45 | c7cbbd4b1c1e281cef5f4a0c4e3d4a97cee2241e | /froide/foirequest/feeds.py | f7f5013a62598bd972ecd4613d1f94601890043d | [
"MIT"
] | permissive | manonthemat/froide | 078cf78a6eb35226512c0bdfa2ac9043bcc81ad9 | 698c49935eaf2e922f3c9f6a46af0fd545ccbbbb | refs/heads/master | 2020-08-14T08:19:36.215473 | 2019-10-14T19:43:16 | 2019-10-14T19:43:16 | 215,129,869 | 0 | 0 | MIT | 2019-10-14T19:35:49 | 2019-10-14T19:35:49 | null | UTF-8 | Python | false | false | 4,189 | py | import re
from django.conf import settings
from django.contrib.syndication.views import Feed
from django.utils.feedgenerator import Atom1Feed
from django.utils.translation import ugettext_lazy as _
from django.urls import reverse
from django.shortcuts import get_object_or_404
from .models import FoiRequest
from .filters import FOIREQUEST_FILTER_DICT
CONTROLCHARS_RE = re.compile(r'[\x00-\x08\x0B-\x0C\x0E-\x1F]')
def clean(val):
return CONTROLCHARS_RE.sub('', val)
class LatestFoiRequestsFeed(Feed):
url_name = 'foirequest-list_feed'
def __init__(self, items, data, make_url):
self.items = items
self.data = data
self.make_url = make_url
super(LatestFoiRequestsFeed, self).__init__()
def get_filter_string(self):
by = []
if self.data.get('q'):
by.append(_('search for "%s"' % self.data['q']))
if self.data.get('category'):
by.append(_('by category %(category)s') % {'category': self.data['category'].name})
if self.data.get('status'):
by.append(_('by status %(status)s') % {
'status': FOIREQUEST_FILTER_DICT[self.data['status']][1]
})
if self.data.get('tag'):
by.append(_('by tag %(tag)s') % {'tag': self.data['tag'].name})
if self.data.get('jurisdiction'):
by.append(_('for %(juris)s') % {'juris': self.data['jurisdiction'].name})
if self.data.get('publicbody'):
by.append(_('to %(publicbody)s') % {'publicbody': self.data['publicbody'].name})
return ' '.join(str(x) for x in by)
def title(self, obj):
by = self.get_filter_string()
if by:
return clean(_("Freedom of Information Requests %(by)s on %(sitename)s") % {
"sitename": settings.SITE_NAME,
'by': by
})
return clean(_("Freedom of Information Requests on %(sitename)s") % {
"sitename": settings.SITE_NAME
})
def description(self, obj):
by = self.get_filter_string()
if by:
return clean(_("This feed contains the Freedom of Information requests %(by)s"
" that have been made through %(sitename)s.") % {
"sitename": settings.SITE_NAME,
'by': by
})
return clean(_("This feed contains the latest Freedom of Information requests"
" that have been made through %(sitename)s.") % {
"sitename": settings.SITE_NAME
})
def link(self):
return self.make_url(self.url_name)
def items(self):
return self.items.order_by("-first_message")[:15]
def item_title(self, item):
if item.public_body:
pb_name = item.public_body.name
else:
pb_name = _("Not yet known")
return clean(_("'%(title)s' to %(publicbody)s") % {
"title": item.title,
"publicbody": pb_name
})
def item_description(self, item):
return clean(item.description)
def item_pubdate(self, item):
return item.first_message
class LatestFoiRequestsFeedAtom(LatestFoiRequestsFeed):
feed_type = Atom1Feed
subtitle = LatestFoiRequestsFeed.description
url_name = 'foirequest-list_feed_atom'
class FoiRequestFeed(Feed):
def get_object(self, request, slug):
return get_object_or_404(FoiRequest, slug=slug, public=True)
def title(self, obj):
return clean(obj.title)
def link(self, obj):
return reverse('foirequest-feed', kwargs={"slug": obj.slug})
def description(self, obj):
return clean(obj.description)
def items(self, obj):
return obj.foievent_set.order_by("-timestamp")[:15]
def item_title(self, item):
return clean(item.as_text())
def item_description(self, item):
return clean(item.as_text())
def item_pubdate(self, item):
return item.timestamp
class FoiRequestFeedAtom(FoiRequestFeed):
feed_type = Atom1Feed
subtitle = FoiRequestFeed.description
def link(self, obj):
return reverse('foirequest-feed_atom', kwargs={"slug": obj.slug})
| [
"[email protected]"
] | |
e68fc4550c477bbbfcb9e72f120f12025db3050e | 648411bd760b9c7018da516b4617b05a0d3a5dee | /core/config.py | 15bb43be748390910230122b73bbe541489e7487 | [
"Apache-2.0"
] | permissive | cartel32/ChefAPI | 6de457a4e4f7fd0a2123da1c97058565ccdcdc34 | bb622db1fb09feb85488438a6d840e0b6383b679 | refs/heads/main | 2023-06-09T15:09:27.923326 | 2021-06-26T02:03:38 | 2021-06-26T02:03:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,529 | py | import secrets
from typing import Any, Dict, List, Optional, Union
from pydantic import AnyHttpUrl, BaseSettings, EmailStr, Field, HttpUrl, PostgresDsn, validator
class Settings(BaseSettings):
API_V1_STR = "/api/v1"
SECRET_KEY: str = secrets.token_urlsafe(64)
ACCESS_TOKEN_EXPIRE_MINUTES: int = 60 * 24 * 8
BACKEND_CORS_ORIGINS: List[AnyHttpUrl] = []
PROJECT_NAME: str = "ChefAPI"
# BACKEND_CORS_ORIGINS is a JSON-formatted list of origins
# e.g: '["http://localhost", "http://localhost:4200", "http://localhost:3000", \
# "http://localhost:8080", "http://local.dockertoolbox.tiangolo.com"]'
POSTGRES_SERVER: str = Field(..., env="POSTGRES_SERVER")
POSTGRES_USER: str = Field(..., env="POSTGRES_USER")
POSTGRES_PASSWORD: str = Field(..., env="POSTGRES_PASSWORD")
POSTGRES_DB: str = Field(..., env="POSTGRES_DB")
SQLALCHEMY_DATABASE_URI: Optional[PostgresDsn] = None
@validator("SQLALCHEMY_DATABASE_URI", pre=True)
def assemble_db_connection(cls, v: Optional[str], values: Dict[str, Any]) -> Any:
if isinstance(v, str):
return v
return PostgresDsn.build(
scheme="postgresql",
user=values.get("POSTGRES_USER"),
password=values.get("POSTGRES_PASSWORD"),
host=values.get("POSTGRES_SERVER"),
path=f"/{values.get('POSTGRES_DB') or ''}",
)
class Config:
case_sensitive = True
env_file = '.env'
env_file_encoding = 'utf-8'
settings = Settings()
| [
"[email protected]"
] | |
d020b391aa17fab9770e8607e005440b02e93769 | fbbe424559f64e9a94116a07eaaa555a01b0a7bb | /Keras_tensorflow_nightly/source2.7/google/protobuf/internal/factory_test1_pb2.py | 8240f242a12b6b761056dc5e7317920be7dc0c1c | [
"MIT"
] | permissive | ryfeus/lambda-packs | 6544adb4dec19b8e71d75c24d8ed789b785b0369 | cabf6e4f1970dc14302f87414f170de19944bac2 | refs/heads/master | 2022-12-07T16:18:52.475504 | 2022-11-29T13:35:35 | 2022-11-29T13:35:35 | 71,386,735 | 1,283 | 263 | MIT | 2022-11-26T05:02:14 | 2016-10-19T18:22:39 | Python | UTF-8 | Python | false | true | 7,816 | py | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/internal/factory_test1.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='google/protobuf/internal/factory_test1.proto',
package='google.protobuf.python.internal',
syntax='proto2',
serialized_pb=_b('\n,google/protobuf/internal/factory_test1.proto\x12\x1fgoogle.protobuf.python.internal\"\xd5\x03\n\x0f\x46\x61\x63tory1Message\x12\x45\n\x0e\x66\x61\x63tory_1_enum\x18\x01 \x01(\x0e\x32-.google.protobuf.python.internal.Factory1Enum\x12\x62\n\x15nested_factory_1_enum\x18\x02 \x01(\x0e\x32\x43.google.protobuf.python.internal.Factory1Message.NestedFactory1Enum\x12h\n\x18nested_factory_1_message\x18\x03 \x01(\x0b\x32\x46.google.protobuf.python.internal.Factory1Message.NestedFactory1Message\x12\x14\n\x0cscalar_value\x18\x04 \x01(\x05\x12\x12\n\nlist_value\x18\x05 \x03(\t\x1a&\n\x15NestedFactory1Message\x12\r\n\x05value\x18\x01 \x01(\t\"P\n\x12NestedFactory1Enum\x12\x1c\n\x18NESTED_FACTORY_1_VALUE_0\x10\x00\x12\x1c\n\x18NESTED_FACTORY_1_VALUE_1\x10\x01*\t\x08\xe8\x07\x10\x80\x80\x80\x80\x02*<\n\x0c\x46\x61\x63tory1Enum\x12\x15\n\x11\x46\x41\x43TORY_1_VALUE_0\x10\x00\x12\x15\n\x11\x46\x41\x43TORY_1_VALUE_1\x10\x01')
)
_FACTORY1ENUM = _descriptor.EnumDescriptor(
name='Factory1Enum',
full_name='google.protobuf.python.internal.Factory1Enum',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='FACTORY_1_VALUE_0', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='FACTORY_1_VALUE_1', index=1, number=1,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=553,
serialized_end=613,
)
_sym_db.RegisterEnumDescriptor(_FACTORY1ENUM)
Factory1Enum = enum_type_wrapper.EnumTypeWrapper(_FACTORY1ENUM)
FACTORY_1_VALUE_0 = 0
FACTORY_1_VALUE_1 = 1
_FACTORY1MESSAGE_NESTEDFACTORY1ENUM = _descriptor.EnumDescriptor(
name='NestedFactory1Enum',
full_name='google.protobuf.python.internal.Factory1Message.NestedFactory1Enum',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='NESTED_FACTORY_1_VALUE_0', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NESTED_FACTORY_1_VALUE_1', index=1, number=1,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=460,
serialized_end=540,
)
_sym_db.RegisterEnumDescriptor(_FACTORY1MESSAGE_NESTEDFACTORY1ENUM)
_FACTORY1MESSAGE_NESTEDFACTORY1MESSAGE = _descriptor.Descriptor(
name='NestedFactory1Message',
full_name='google.protobuf.python.internal.Factory1Message.NestedFactory1Message',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='value', full_name='google.protobuf.python.internal.Factory1Message.NestedFactory1Message.value', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=420,
serialized_end=458,
)
_FACTORY1MESSAGE = _descriptor.Descriptor(
name='Factory1Message',
full_name='google.protobuf.python.internal.Factory1Message',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='factory_1_enum', full_name='google.protobuf.python.internal.Factory1Message.factory_1_enum', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='nested_factory_1_enum', full_name='google.protobuf.python.internal.Factory1Message.nested_factory_1_enum', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='nested_factory_1_message', full_name='google.protobuf.python.internal.Factory1Message.nested_factory_1_message', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='scalar_value', full_name='google.protobuf.python.internal.Factory1Message.scalar_value', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='list_value', full_name='google.protobuf.python.internal.Factory1Message.list_value', index=4,
number=5, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_FACTORY1MESSAGE_NESTEDFACTORY1MESSAGE, ],
enum_types=[
_FACTORY1MESSAGE_NESTEDFACTORY1ENUM,
],
options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(1000, 536870912), ],
oneofs=[
],
serialized_start=82,
serialized_end=551,
)
_FACTORY1MESSAGE_NESTEDFACTORY1MESSAGE.containing_type = _FACTORY1MESSAGE
_FACTORY1MESSAGE.fields_by_name['factory_1_enum'].enum_type = _FACTORY1ENUM
_FACTORY1MESSAGE.fields_by_name['nested_factory_1_enum'].enum_type = _FACTORY1MESSAGE_NESTEDFACTORY1ENUM
_FACTORY1MESSAGE.fields_by_name['nested_factory_1_message'].message_type = _FACTORY1MESSAGE_NESTEDFACTORY1MESSAGE
_FACTORY1MESSAGE_NESTEDFACTORY1ENUM.containing_type = _FACTORY1MESSAGE
DESCRIPTOR.message_types_by_name['Factory1Message'] = _FACTORY1MESSAGE
DESCRIPTOR.enum_types_by_name['Factory1Enum'] = _FACTORY1ENUM
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
Factory1Message = _reflection.GeneratedProtocolMessageType('Factory1Message', (_message.Message,), dict(
NestedFactory1Message = _reflection.GeneratedProtocolMessageType('NestedFactory1Message', (_message.Message,), dict(
DESCRIPTOR = _FACTORY1MESSAGE_NESTEDFACTORY1MESSAGE,
__module__ = 'google.protobuf.internal.factory_test1_pb2'
# @@protoc_insertion_point(class_scope:google.protobuf.python.internal.Factory1Message.NestedFactory1Message)
))
,
DESCRIPTOR = _FACTORY1MESSAGE,
__module__ = 'google.protobuf.internal.factory_test1_pb2'
# @@protoc_insertion_point(class_scope:google.protobuf.python.internal.Factory1Message)
))
_sym_db.RegisterMessage(Factory1Message)
_sym_db.RegisterMessage(Factory1Message.NestedFactory1Message)
# @@protoc_insertion_point(module_scope)
| [
"[email protected]"
] | |
549bed9daf0f4ef8d0ed86767a77ca00430090ef | 5b70fbd53b534306c146ffb98a0f99d2343a948f | /src/Python/Problem587.py | 2ba944f8d8d9652b2e76c40f120339f18f824584 | [] | no_license | aniruddhamurali/Project-Euler | 1f4ff3aa1e9c4efbc2a85026821e19a28b5edf90 | 408b3098fbc98ff3954679602c0468ddb56ea0ac | refs/heads/master | 2020-03-20T23:07:22.178103 | 2018-07-27T01:40:46 | 2018-07-27T01:40:46 | 137,830,476 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 673 | py | # Problem 587
# Answer: 2240
import math
import itertools
def main():
# The indefinite integral of (1 - sqrt(2x - x^2)) dx.
def integral(x):
t = x - 1.0
return t - (math.sqrt(x * (2.0 - x)) * t + math.asin(t)) / 2.0
lsectionarea = 1.0 - math.pi/4.0
for i in itertools.count(1):
slope = 1.0 / i
a = slope**2 + 1.0
b = -2.0 * (slope + 1.0)
c = 1.0
x = (2.0 * c) / (-b + math.sqrt(b * b - 4 * a * c))
concavetrianglearea = (x**2 * slope / 2) + (integral(1.0) - integral(x))
if concavetrianglearea/lsectionarea < 0.001:
print(i)
return str(i)
main()
| [
"[email protected]"
] | |
9827a807920d3270208ee5ee2d316ba711ac1c8e | 85a9ffeccb64f6159adbd164ff98edf4ac315e33 | /pysnmp-with-texts/ENTERASYS-SERVICE-LEVEL-REPORTING-MIB.py | 5932cdfda88a0855bdbd278ce5d375e416b10dbd | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-proprietary-license",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | agustinhenze/mibs.snmplabs.com | 5d7d5d4da84424c5f5a1ed2752f5043ae00019fb | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | refs/heads/master | 2020-12-26T12:41:41.132395 | 2019-08-16T15:51:41 | 2019-08-16T15:53:57 | 237,512,469 | 0 | 0 | Apache-2.0 | 2020-01-31T20:41:36 | 2020-01-31T20:41:35 | null | UTF-8 | Python | false | false | 65,271 | py | #
# PySNMP MIB module ENTERASYS-SERVICE-LEVEL-REPORTING-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ENTERASYS-SERVICE-LEVEL-REPORTING-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:04:36 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, SingleValueConstraint, ConstraintsUnion, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "SingleValueConstraint", "ConstraintsUnion", "ValueSizeConstraint", "ValueRangeConstraint")
etsysModules, = mibBuilder.importSymbols("ENTERASYS-MIB-NAMES", "etsysModules")
InetAddress, InetAddressType = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetAddress", "InetAddressType")
SnmpAdminString, = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString")
NotificationGroup, ObjectGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ObjectGroup", "ModuleCompliance")
TimeTicks, iso, NotificationType, MibScalar, MibTable, MibTableRow, MibTableColumn, Unsigned32, ModuleIdentity, Integer32, Counter64, MibIdentifier, Bits, IpAddress, Counter32, Gauge32, ObjectIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "TimeTicks", "iso", "NotificationType", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Unsigned32", "ModuleIdentity", "Integer32", "Counter64", "MibIdentifier", "Bits", "IpAddress", "Counter32", "Gauge32", "ObjectIdentity")
RowStatus, TextualConvention, StorageType, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "RowStatus", "TextualConvention", "StorageType", "DisplayString")
etsysServiceLevelReportingMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39))
etsysServiceLevelReportingMIB.setRevisions(('2003-11-06 15:15', '2003-10-24 19:02', '2003-10-22 23:32',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: etsysServiceLevelReportingMIB.setRevisionsDescriptions(('Corrected the postal code in the CONTACT-INFO clause.', "Changed the name of the bit at position zero in the EtsysSrvcLvlStandardMetrics textual convention from 'none' to 'reserved' and added a comment for it in the description clause.", 'Initial version of this MIB module.',))
if mibBuilder.loadTexts: etsysServiceLevelReportingMIB.setLastUpdated('200311061515Z')
if mibBuilder.loadTexts: etsysServiceLevelReportingMIB.setOrganization('Enterasys Networks Inc.')
if mibBuilder.loadTexts: etsysServiceLevelReportingMIB.setContactInfo('Postal: Enterasys Networks 50 Minuteman Rd. Andover, MA 01810-1008 USA Phone: +1 978 684 1000 E-mail: [email protected] WWW: http://www.enterasys.com')
if mibBuilder.loadTexts: etsysServiceLevelReportingMIB.setDescription('This memo defines a portion of the Management Information Base (MIB) for use with network management protocols in TCP/IP-based internets. In particular, it specifies the objects used for managing the results of the service level metrics measurements.')
class EtsysSrvcLvlOwnerString(TextualConvention, OctetString):
description = 'An OwnerString. The string length is limited to 32 octets.'
status = 'current'
subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(0, 32)
class TimeUnit(TextualConvention, Integer32):
description = 'A enumerated list of time units.'
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9))
namedValues = NamedValues(("year", 1), ("month", 2), ("week", 3), ("day", 4), ("hour", 5), ("second", 6), ("millisecond", 7), ("microsecond", 8), ("nanosecond", 9))
class EtsysSrvcLvlStandardMetrics(TextualConvention, Bits):
description = " Each standard metric is identified below. In order to allow for several metrics to be calculated in a single measure, there is a need to describe in a bit string the metrics to be measured. This textual convention defines a BITS construct that gathers in a bit string a sequence of bits. The bit order corresponds to the order of the metric identifiers in the registry. The first bit (most significant bit) of the string has the index 0. The index 1 corresponds to the first metric of the registry (instantaneousUnidirectionalConnectivity ). Example: One-way-Delay(6) is identified as 6. One-way-Packet-Loss(12) is as 12. A network measure performing both One-way-Delay(6) and One-way-Packet-Loss(12) will be described as '0000001000001000'b, '208'B. Below is a list of defined metrics: reserved (0) Setting this reserved bit has no effect. instantUnidirectionConnectivity (1) The identifier for the Type-P-Instantaneous-Unidirectional- Connectivity metric. REFERENCE RFC2678, section 2. instantBidirectionConnectivity (2) The identifier for the Type-P-Instantaneous-Bidirectional- Connectivity metric. REFERENCE RFC2678, section 3. intervalUnidirectionConnectivity (3) The identifier for the Type-P-Interval-Unidirectional- Connectivity metric. REFERENCE RFC2678, section 4. intervalBidirectionConnectivity (4) The identifier for the Type-P-Interval-Bidirectional- Connectivity metric. REFERENCE RFC2678, section 5. intervalTemporalConnectivity (5) The identifier for the Type-P1-P2-Interval-Temporal- Connectivity metric. REFERENCE RFC2678, section 6. oneWayDelay (6) The identifier for the Type-P-One-way-Delay metric. REFERENCE RFC2679, section 3. oneWayDelayPoissonStream (7) The identifier for the Type-P-One-way-Delay-Poisson-Stream metric. REFERENCE RFC2679, section 4. oneWayDelayPercentile (8) The identifier for the Type-P-One-way-Delay-Percentile metric. REFERENCE RFC2679, section 5.1. oneWayDelayMedian (9) The identifier for the Type-P-One-way-Delay-Median metric. REFERENCE RFC2679, section 5.2. oneWayDelayMinimum (10) The identifier for the Type-P-One-way-Delay-Minimum metric. REFERENCE RFC2679, section 5.3. oneWayDelayInversePercentile (11) The identifier for the Type-P-One-way-Delay-Inverse- Percentile metric. REFERENCE RFC2679, section 5.4. oneWayPacketLoss (12) The identifier for the Type-P-One-way-Packet-Loss metric. REFERENCE RFC2680, section 2. oneWayPacketLossPoissonStream (13) The identifier for the Type-P-One-way-Packet-Loss-Poisson- Stream metric. REFERENCE RFC2680, section 3. oneWayPacketLossAverage (14) The identifier for the Type-P-One-way-Packet-Loss-Average metric. REFERENCE RFC2680, section 4. roundtripDelay (15) The identifier for the Type-P-Round-trip-Delay metric. REFERENCE section 2 of the rfc2681. roundtripDelayPoissonStream (16) The identifier for the Type-P-Round-trip-Delay-Poisson-Stream metric. REFERENCE RFC2681, section 4. roundtripDelayPercentile (17) The identifier for the Type-P-Round-trip-Delay-Percentile metric. REFERENCE RFC2681, section 4.1. roundtripDelayMedian (18) The identifier for the Type-P-Round-trip-Delay-Median metric. REFERENCE RFC2681, section 4.2. roundtripDelayMinimum (19) The identifier for the Type-P-Round-trip-Delay-Minimum metric. REFERENCE RFC2681, section 4.3. roundtripDelayInversePercentile (20) The identifier for the Type-P-Round-trip-Inverse-Percentile metric. REFERENCE RFC2681, section 4.4. oneWayLossDistanceStream (21) The identifier for the Type-P-One-Way-Loss-Distance-Stream metric. REFERENCE RFC3357, section 5.4.1. oneWayLossPeriodStream (22) The identifier for the Type-P-One-Way-Loss-Period-Stream metric. REFERENCE RFC3357, section 5.4.2. oneWayLossNoticeableRate (23) The identifier for the Type-P-One-Way-Loss-Noticeable-Rate metric. REFERENCE RFC3357, section 6.1. oneWayLossPeriodTotal (24) The identifier for the Type-P-One-Way-Loss-Period-Total metric. REFERENCE RFC3357, section 6.2. oneWayLossPeriodLengths (25) The identifier for the Type-P-One-Way-Loss-Period-Lengths metric. REFERENCE RFC3357, section 6.3. oneWayInterLossPeriodLengths (26) The identifier for the Type-P-One-Way-Inter-Loss-Period- Lengths metric. REFERENCE RFC3357, section 6.4. oneWayIpdv (27) The identifier for the Type-P-One-way-ipdv metric. REFERENCE RFC3393, section 2. oneWayIpdvPoissonStream (28) The identifier for the Type-P-One-way-ipdv-Poisson-stream metric. REFERENCE RFC3393, section 3. oneWayIpdvPercentile (29) The identifier for the Type-P-One-way-ipdv-percentile metric. REFERENCE RFC3393, section 4.3. oneWayIpdvInversePercentile (30) The identifier for the Type-P-One-way-ipdv-inverse-percentile metric. REFERENCE RFC3393, section 4.4. oneWayIpdvJitter (31) The identifier for the Type-P-One-way-ipdv-jitter metric. REFERENCE RFC3393, section 4.5. oneWayPeakToPeakIpdv (32) The identifier for the Type-P-One-way-peak-to-peak-ipdv metric. REFERENCE RFC3393, section 4.6. oneWayDelayPeriodicStream (33) The identifier for the Type-P-One-way-Delay-Periodic-Stream metric. REFERENCE RFC3432, section 4. roundtripDelayAverage (34) The identifier for the Type-P-Round-trip-Delay-Average metric. roundtripPacketLoss (35) The identifier for the Type-P-Round-trip-Packet-Loss metric. roundtripPacketLossAverage (36) The identifier for the Type-P-Round-trip-Packet-Loss-Average metric. roundtripIpdv (37) The identifier for the Type-P-Round-trip-ipdv metric."
status = 'current'
namedValues = NamedValues(("reserved", 0), ("instantUnidirectionConnectivity", 1), ("instantBidirectionConnectivity", 2), ("intervalUnidirectionConnectivity", 3), ("intervalBidirectionConnectivity", 4), ("intervalTemporalConnectivity", 5), ("oneWayDelay", 6), ("oneWayDelayPoissonStream", 7), ("oneWayDelayPercentile", 8), ("oneWayDelayMedian", 9), ("oneWayDelayMinimum", 10), ("oneWayDelayInversePercentile", 11), ("oneWayPacketLoss", 12), ("oneWayPacketLossPoissonStream", 13), ("oneWayPacketLossAverage", 14), ("roundtripDelay", 15), ("roundtripDelayPoissonStream", 16), ("roundtripDelayPercentile", 17), ("roundtripDelayMedian", 18), ("roundtripDelayMinimum", 19), ("roundtripDelayInversePercentile", 20), ("oneWayLossDistanceStream", 21), ("oneWayLossPeriodStream", 22), ("oneWayLossNoticeableRate", 23), ("oneWayLossPeriodTotal", 24), ("oneWayLossPeriodLengths", 25), ("oneWayInterLossPeriodLengths", 26), ("oneWayIpdv", 27), ("oneWayIpdvPoissonStream", 28), ("oneWayIpdvPercentile", 29), ("oneWayIpdvInversePercentile", 30), ("oneWayIpdvJitter", 31), ("oneWayPeakToPeakIpdv", 32), ("oneWayDelayPeriodicStream", 33), ("roundtripDelayAverage", 34), ("roundtripPacketLoss", 35), ("roundtripPacketLossAverage", 36), ("roundtripIpdv", 37))
class GMTTimeStamp(TextualConvention, OctetString):
description = 'The value at which a specific occurrence happened. The specific occurrence must be defined in the description of any object defined using this type. field octets contents range ----- ------ -------- ----- 1 1-4 second since 1 Jan 2000 0H00* 0..2^31 - 1 2 5-8 fractional part of the second* 0..2^32 - 1 * the value is in network-byte order The timestamp format is directly inspired from the NTP timestamp format. It differs because it counts the second since 1 Jan 2000 0H00 instead of 1 Jan 1900 0H00. The most significant bit of the part that represents the second is reserved. It will wrap in year 2068 (The NTP timestamp will wrap in year 2036). This bit is set to indicate if the fractional part of the second contains a precision field and a synchronization field. When this bit is not set the resolution is maximal. The maximal resolution is close to 250 picoseconds. The precision of the timestamp is provided in etsysSrvcLvlSystemClockResolution.'
status = 'current'
subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(8, 8)
fixedLength = 8
class TypeP(TextualConvention, OctetString):
description = "This textual convention is a display string used to describe the protocol encapsulation list of a packet, and is used as the value of the SYNTAX clause for the type of the Src and Dst of a measure. The RFC2895 specifies a macro named PROTOCOL-IDENTIFIER for the definition of protocol identifiers, while its companion document, the RFC2896 defines a set of protocol identifiers. TypeP is defined as a display string. It consists of a list of dot separated protocol names. Each protocol name has been previously defined using the macro PROTOCOL-IDENTIFIER of the RFC 2895. Examples: The RFC2896 defines the protocol identifiers 'ether2', 'ip', 'ipip4', 'udp', 'tcp', 'telnet'... The TypeP of the source address corresponding to telnet is the string 'ip.tcp.telnet'. The TypeP of the source address corresponding to UDP packets sent in an IP tunnel is the string 'ip.ipip4.udp'. Note: A performance measure is active, so generally a TypeP value does not describe the link layer (i.e. ether2...). Valid Internet packets are sent from Src to Dst. Then the choice of the link layer relies on the Internet stack."
status = 'current'
subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(0, 512)
class TypePaddress(TextualConvention, OctetString):
description = "This textual convention is a Display string used to describe the parameters of the protocol encapsulation list of a packet, basically the address. TypePaddress is defined as a display string. It consists in a list of space separated parameter list. Each parameter in the list corresponds to a parameter of a PROTOCOL-IDENTIFIER of the TypeP. Example: The TypeP 'ip.ipip4' has 2 parameters. A valid TypePaddress value is '192.168.1.1 128.2.6.7'."
status = 'current'
displayHint = '255a'
subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(0, 512)
etsysSrvcLvlConfigObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1))
etsysSrvcLvlSystem = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 1))
etsysSrvcLvlOwners = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 2))
etsysSrvcLvlHistory = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 3))
etsysSrvcLvlMeasure = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4))
etsysSrvcLvlSystemTime = MibScalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 1, 1), GMTTimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysSrvcLvlSystemTime.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlSystemTime.setDescription('The current time of the system.')
etsysSrvcLvlSystemClockResolution = MibScalar((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 1, 2), Integer32()).setUnits('picoseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysSrvcLvlSystemClockResolution.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlSystemClockResolution.setDescription('etsysSrvcLvlSystemClockResolution provides the precision of the clock used for the measures . The unit is the picosecond. For example, the clock on an old Unix host might advance only once every msec, and thus have a resolution of 1 msec. So its resolution is 1,000,000,000 picosecond and the value of etsysSrvcLvlSystemClockResolution is 1000000000.')
etsysSrvcLvlMetricTable = MibTable((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 1, 3), )
if mibBuilder.loadTexts: etsysSrvcLvlMetricTable.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlMetricTable.setDescription('This table is mandatory. It describes the current implementation. Each defined metric must be described in the table. etsysSrvcLvlMetricTable content is read only.')
etsysSrvcLvlMetricEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 1, 3, 1), ).setIndexNames((0, "ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlMetricIndex"))
if mibBuilder.loadTexts: etsysSrvcLvlMetricEntry.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlMetricEntry.setDescription('An entry describes the static capabilities of a metric implementation.')
etsysSrvcLvlMetricIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 1, 3, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(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))).clone(namedValues=NamedValues(("instantUnidirectionConnectivity", 1), ("instantBidirectionConnectivity", 2), ("intervalUnidirectionConnectivity", 3), ("intervalBidirectionConnectivity", 4), ("intervalTemporalConnectivity", 5), ("oneWayDelay", 6), ("oneWayDelayPoissonStream", 7), ("oneWayDelayPercentile", 8), ("oneWayDelayMedian", 9), ("oneWayDelayMinimum", 10), ("oneWayDelayInversePercentile", 11), ("oneWayPacketLoss", 12), ("oneWayPacketLossPoissonStream", 13), ("oneWayPacketLossAverage", 14), ("roundtripDelay", 15), ("roundtripDelayPoissonStream", 16), ("roundtripDelayPercentile", 17), ("roundtripDelayMedian", 18), ("roundtripDelayMinimum", 19), ("roundtripDelayInversePercentile", 20), ("oneWayLossDistanceStream", 21), ("oneWayLossPeriodStream", 22), ("oneWayLossNoticeableRate", 23), ("oneWayLossPeriodTotal", 24), ("oneWayLossPeriodLengths", 25), ("oneWayInterLossPeriodLengths", 26), ("oneWayIpdv", 27), ("oneWayIpdvPoissonStream", 28), ("oneWayIpdvPercentile", 29), ("oneWayIpdvInversePercentile", 30), ("oneWayIpdvJitter", 31), ("oneWayPeakToPeakIpdv", 32), ("oneWayDelayPeriodicStream", 33), ("roundtripDelayAverage", 34), ("roundtripPacketLoss", 35), ("roundtripPacketLossAverage", 36), ("roundtripIpdv", 37))))
if mibBuilder.loadTexts: etsysSrvcLvlMetricIndex.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlMetricIndex.setDescription("etsysSrvcLvlMetricIndex defines an unambiguous index for each standardized metric. It identifies a metric. Its value is defined above. This value is the same in any implementation of the ENTERASYS-SERVICE-LEVEL-REPORTING-MIB. See EtsysSrvcLvlStandardMetrics for description of the metrics. Example: onewayPacketLossAverage is defined as the 14. Consequently the index of the metric onewayPacketLossAverage in the EtsysSrvcLvlMetricTable will always be '14'")
etsysSrvcLvlMetricCapabilities = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 1, 3, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("notImplemented", 0), ("implemented", 1))).clone('implemented')).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysSrvcLvlMetricCapabilities.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlMetricCapabilities.setDescription('A value of notImplemented implies the metric is not implemented. A value of implemented implies the metric is implemented.')
etsysSrvcLvlMetricType = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 1, 3, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("network", 0), ("aggregated", 1))).clone('aggregated')).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysSrvcLvlMetricType.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlMetricType.setDescription('Indicates the metric type, whether it is network or aggregated')
etsysSrvcLvlMetricUnit = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 1, 3, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5, 6, 7, 8, 9))).clone(namedValues=NamedValues(("noUnit", 0), ("second", 1), ("millisecond", 2), ("microsecond", 3), ("nanosecond", 4), ("percentage", 5), ("packet", 6), ("byte", 7), ("kilobyte", 8), ("megabyte", 9)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysSrvcLvlMetricUnit.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlMetricUnit.setDescription('The unit used in the current entity for the results of the measurement of this metric.')
etsysSrvcLvlMetricDescription = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 1, 3, 1, 5), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysSrvcLvlMetricDescription.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlMetricDescription.setDescription('A textual description of the metric implementation following the exact name of this metric in the registry. For example: oneWayDelay: text .')
etsysSrvcLvlOwnersTable = MibTable((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 2, 1), )
if mibBuilder.loadTexts: etsysSrvcLvlOwnersTable.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlOwnersTable.setDescription("A management entity wishing to create and activate remote EtsysSrvcLvl measurements in an agent must previously be registered in the etsysSrvcLvlOwnersTable. etsysSrvcLvlOwnersTable content is read-create. It contains at least the owner 'monitor'.")
etsysSrvcLvlOwnersEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 2, 1, 1), ).setIndexNames((0, "ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlOwnersIndex"))
if mibBuilder.loadTexts: etsysSrvcLvlOwnersEntry.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlOwnersEntry.setDescription("The description of the resources granted to an SNMP application. For example, an instance of etsysSrvcLvlOwnersOwner with an EtsysSrvcLvlOwnerString 'acme', which represents the 14th owner created in etsysSrvcLvlOwnersTable would be named etsysSrvcLvlOwnersEntryOwner.14. Notes: The etsysSrvcLvlOwnersIndex value is a local index managed directly by the agent. The management application must poll to get the next available index value. It is not used in anyway in other tables.")
etsysSrvcLvlOwnersIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 2, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)))
if mibBuilder.loadTexts: etsysSrvcLvlOwnersIndex.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlOwnersIndex.setDescription('An arbitrary index that identifies an entry in the owners table.')
etsysSrvcLvlOwnersOwner = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 2, 1, 1, 2), EtsysSrvcLvlOwnerString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlOwnersOwner.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlOwnersOwner.setDescription('The owner described by this entry.')
etsysSrvcLvlOwnersGrantedMetrics = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 2, 1, 1, 3), EtsysSrvcLvlStandardMetrics()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlOwnersGrantedMetrics.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlOwnersGrantedMetrics.setDescription('Defines the metrics granted to an owner for which measurements can be performed.')
etsysSrvcLvlOwnersQuota = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 2, 1, 1, 4), Integer32()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlOwnersQuota.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlOwnersQuota.setDescription('The maximum number of records that this owner may have in the history table.')
etsysSrvcLvlOwnersIpAddressType = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 2, 1, 1, 5), InetAddressType()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlOwnersIpAddressType.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlOwnersIpAddressType.setDescription('The IP address type of the management entity corresponding to this owner. InetAddressType is restricted to ipv4(1),ipv6(2)and dns(16).')
etsysSrvcLvlOwnersIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 2, 1, 1, 6), InetAddress().subtype(subtypeSpec=ValueSizeConstraint(1, 128))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlOwnersIpAddress.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlOwnersIpAddress.setDescription('The IP address of the management entity corresponding to this owner.')
etsysSrvcLvlOwnersEmail = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 2, 1, 1, 7), SnmpAdminString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlOwnersEmail.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlOwnersEmail.setDescription('The email address of the management entity corresponding to this owner.')
etsysSrvcLvlOwnersSMS = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 2, 1, 1, 8), SnmpAdminString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlOwnersSMS.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlOwnersSMS.setDescription('The SMS phone number of the management entity corresponding to this owner.')
etsysSrvcLvlOwnersStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 2, 1, 1, 9), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlOwnersStatus.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlOwnersStatus.setDescription('The status of this table entry.')
etsysSrvcLvlHistoryTable = MibTable((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 3, 1), )
if mibBuilder.loadTexts: etsysSrvcLvlHistoryTable.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlHistoryTable.setDescription('The table containing the measurement results.')
etsysSrvcLvlHistoryEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 3, 1, 1), ).setIndexNames((0, "ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlHistoryMeasureOwner"), (0, "ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlHistoryMeasureIndex"), (0, "ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlHistoryMetricIndex"), (0, "ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlHistoryIndex"))
if mibBuilder.loadTexts: etsysSrvcLvlHistoryEntry.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlHistoryEntry.setDescription('An etsysSrvcLvlHistoryEntry entry is one of the results of a measure identified by etsysSrvcLvlHistoryMeasureOwner, etsysSrvcLvlHistoryMeasureIndex, etsysSrvcLvlHistoryMetricIndex and etsysSrvcLvlHistoryIndex. In the index : + etsysSrvcLvlHistoryMeasureOwner identifies the owner of the measure + etsysSrvcLvlHistoryMeasureIndex identifies the measure in the owner namespace + etsysSrvcLvlHistoryMetricIndex identifies the metric measured by the measure. The metric is described in the corresponding entry of the n etsysSrvcLvlMetricTable + etsysSrvcLvlHistoryIndex is the local index of the result on the history table.')
etsysSrvcLvlHistoryMeasureOwner = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 3, 1, 1, 1), EtsysSrvcLvlOwnerString())
if mibBuilder.loadTexts: etsysSrvcLvlHistoryMeasureOwner.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlHistoryMeasureOwner.setDescription('The owner of the measure that produced this result.')
etsysSrvcLvlHistoryMeasureIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 3, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)))
if mibBuilder.loadTexts: etsysSrvcLvlHistoryMeasureIndex.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlHistoryMeasureIndex.setDescription(" The index (in owner's namespace) of the measure that produced this result.")
etsysSrvcLvlHistoryMetricIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 3, 1, 1, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)))
if mibBuilder.loadTexts: etsysSrvcLvlHistoryMetricIndex.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlHistoryMetricIndex.setDescription(' etsysSrvcLvlHistoryMetricIndex identifies the metric measured by the measure. The metric is described in the corresponding entry of the etsysSrvcLvlMetricTable.')
etsysSrvcLvlHistoryIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 3, 1, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)))
if mibBuilder.loadTexts: etsysSrvcLvlHistoryIndex.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlHistoryIndex.setDescription(' A local index that identifies a result in the history table.')
etsysSrvcLvlHistorySequence = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 3, 1, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysSrvcLvlHistorySequence.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlHistorySequence.setDescription("etsysSrvcLvlHistorySequence is the sequence index of the measurement results for a metric. Network metrics: It's the sequence index of a measurement packet. Typically, it identifies the order of the packet in the stream of packets sends by the source. Aggregated metrics: It is the sequence index of the computed aggregated metric result.")
etsysSrvcLvlHistoryTimestamp = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 3, 1, 1, 6), GMTTimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysSrvcLvlHistoryTimestamp.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlHistoryTimestamp.setDescription('The timestamp when the measurement occurred.')
etsysSrvcLvlHistoryValue = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 3, 1, 1, 7), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysSrvcLvlHistoryValue.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlHistoryValue.setDescription('The observed value of the measurement.')
etsysSrvcLvlNetMeasureTable = MibTable((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1), )
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureTable.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureTable.setDescription('An entry is a measurement that performs network measures and provides results. It performs several metric measurements per packet exchange. Each step of a measure produces a singleton result per metric. The time of the measurement and the value of the metric are saved in the etsysSrvcLvlHistoryTable.')
etsysSrvcLvlNetMeasureEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1), ).setIndexNames((0, "ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureOwner"), (0, "ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureIndex"))
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureEntry.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureEntry.setDescription('The EtsysSrvcLvlNetMeasureTable is mandatory. The etsysSrvcLvlNetMeasureMetrics is set to a list of metrics to be computed from the same raw packet exchange. Each step of measurement delivers a singleton per chosen metric. Results are timestamped and saved in the etsysSrvcLvlHistoryTable. The etsysSrvcLvlNetMeasureTable typical usage consists in providing network measure indices in order to allow aggregated measures to perform aggregation on the results of network measures.')
etsysSrvcLvlNetMeasureOwner = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 1), EtsysSrvcLvlOwnerString())
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureOwner.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureOwner.setDescription('The owner of the network measurement.')
etsysSrvcLvlNetMeasureIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)))
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureIndex.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureIndex.setDescription("The index (in owner's namespace) of the network measure. ")
etsysSrvcLvlNetMeasureName = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 3), SnmpAdminString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureName.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureName.setDescription('The name of the metric instance. It illustrates the specificity of the metric and includes the metric and the TypeP. Example: IP-TCP-HTTP-One-way-Delay: free text ')
etsysSrvcLvlNetMeasureMetrics = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 4), EtsysSrvcLvlStandardMetrics()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureMetrics.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureMetrics.setDescription('Defines the metrics to compute within this measure. ONLY network metrics of the same type are allowed in this field. A measure may be configured for the result of different metric singletons to be archived in the etsysSrvcLvlHistoryTable. The etsysSrvcLvlMetricIndex of the created result has the value of the bit index of the corresponding etsysSrvcLvlMeasureMetrics as explained above in the etsysSrvcLvlMetricIndex definition. Example: A measure asking for One-way-Delay(6) and One-way-Packet-Loss(12) generated a flow of singletons which are logged in the etsysSrvcLvlHistoryTable. The singletons created for the One-way-Delay measure have a value of etsysSrvcLvlMetricIndex of 6 while the created singletons for the One-way-Packet-Loss measure have a value of etsysSrvcLvlMetricIndex of 12. One measure may perform simultaneously either several network metrics either several aggregated metrics')
etsysSrvcLvlNetMeasureBeginTime = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 5), GMTTimeStamp()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureBeginTime.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureBeginTime.setDescription('Specifies the time at which the measurement begins.')
etsysSrvcLvlNetMeasureDurationUnit = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 6), TimeUnit().clone('second')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureDurationUnit.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureDurationUnit.setDescription('Specifies the measurement duration unit.')
etsysSrvcLvlNetMeasureDuration = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 7), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureDuration.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureDuration.setDescription('Specifies the measurement duration.')
etsysSrvcLvlNetMeasureHistorySize = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 8), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureHistorySize.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureHistorySize.setDescription('Specifies the maximum number of results saved for each metric of this measure. Overflow condition will be managed by the object etsysSrvcLvlNetMeasureResultsMgmt.')
etsysSrvcLvlNetMeasureFailureMgmtMode = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("auto", 1), ("manual", 2), ("discarded", 3))).clone('auto')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureFailureMgmtMode.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureFailureMgmtMode.setDescription("This object defines whether this row is discarded on failure. 'auto' the failure is handled automatically depending on the implementation. 'manual' the entry should be discarded manually. 'discarded' the entry is discarded all the time.")
etsysSrvcLvlNetMeasureResultsMgmt = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("wrap", 1), ("suspend", 2), ("delete", 3)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureResultsMgmt.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureResultsMgmt.setDescription(" Action to take when the log is full. The user may choose to either wrap, in which case the agent writes over existing records. The user may choose to suspend writing to the log in the event that he wishes to archive the data. The delete action causes the agent to begin to write in the log, and assumes the data has been cleared. This object indicates the way the measurement results are managed when the owner quota has been exceeded: 'wrap' continue the measurement and erase the older entries in the history. 'suspend' stop the measure and keep the results in the history. 'delete' remove the results from the history.")
etsysSrvcLvlNetMeasureSrcTypeP = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 11), TypeP().clone('ip')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureSrcTypeP.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureSrcTypeP.setDescription('Defines the type P of the source address of the packets sent by the measure.')
etsysSrvcLvlNetMeasureSrc = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 12), TypePaddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureSrc.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureSrc.setDescription('Specifies the address of the source of the measure. It is represented as a list of parameters corresponding to those of the PROTOCOL IDENTIFIER sets in etsysSrvcLvlNetMeasureSrcTypeP.')
etsysSrvcLvlNetMeasureDstTypeP = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 13), TypeP().clone('ip')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureDstTypeP.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureDstTypeP.setDescription('Defines the type P of the destination address of the packets sent by the measure.')
etsysSrvcLvlNetMeasureDst = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 14), TypePaddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureDst.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureDst.setDescription('Specifies the address of the destination of the measure. It is represented as a list of parameters corresponding to those of the PROTOCOL IDENTIFIER set in etsysSrvcLvlNetMeasureDstTypeP.')
etsysSrvcLvlNetMeasureTxMode = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 15), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3))).clone(namedValues=NamedValues(("other", 0), ("periodic", 1), ("poisson", 2), ("multiburst", 3)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureTxMode.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureTxMode.setDescription("The transmit mode used to send the packets: 'other' The rule used to send the packets is unknown. 'periodic' Packets are sent periodically at etsysSrvcLvlNetMeasureTxPacketRate rate. 'poisson' Packets are sent using a Poisson law, the median is the value of etsysSrvcLvlNetMeasureMedOrIntBurstSize, the deviation is etsysSrvcLvlNetMeasureDevtnOrBurstSize. 'multiburst' Packets are sent bursty at etsysSrvcLvlNetMeasureTxPacketRate. The size of the burst is made of etsysSrvcLvlNetMeasureDevtnOrBurstSize packets.")
etsysSrvcLvlNetMeasureTxPacketRateUnit = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 16), TimeUnit()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureTxPacketRateUnit.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureTxPacketRateUnit.setDescription('The packet rate unit used to send the packets.')
etsysSrvcLvlNetMeasureTxPacketRate = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 17), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureTxPacketRate.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureTxPacketRate.setDescription('The rate the packets are sent.')
etsysSrvcLvlNetMeasureDevtnOrBurstSize = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 18), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureDevtnOrBurstSize.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureDevtnOrBurstSize.setDescription('Indicates the average number of packets per seconds sent using a poisson law.')
etsysSrvcLvlNetMeasureMedOrIntBurstSize = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 19), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureMedOrIntBurstSize.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureMedOrIntBurstSize.setDescription('According to the transmit mode, this value indicates the average number of packets per seconds sent using a poisson law, or the number of packets to wait between consecutive bursts.')
etsysSrvcLvlNetMeasureLossTimeout = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 20), Integer32()).setUnits('Milliseconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureLossTimeout.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureLossTimeout.setDescription('Specifies the delay after which the packet is considered lost by the sink.')
etsysSrvcLvlNetMeasureL3PacketSize = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 21), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureL3PacketSize.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureL3PacketSize.setDescription("Specifies the size of the packets counted at the IP network layer in regards to the TypeP definition. Example: For a TypeP 'ip ipip4' the L3 size will be the size of the packet at ipip4 level.")
etsysSrvcLvlNetMeasureDataPattern = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 22), OctetString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureDataPattern.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureDataPattern.setDescription('The pattern used to fill the payload of the packet.')
etsysSrvcLvlNetMeasureMap = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 23), SnmpAdminString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureMap.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureMap.setDescription('An administrative name of a network management map to which the measure belongs.')
etsysSrvcLvlNetMeasureSingletons = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 24), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureSingletons.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureSingletons.setDescription('Reports the number of singletons performed per metric by the measure since the beginning of the measure. This parameters is required for aggregation.')
etsysSrvcLvlNetMeasureOperState = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 1, 1, 25), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2))).clone(namedValues=NamedValues(("unknown", 0), ("running", 1), ("stopped", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureOperState.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlNetMeasureOperState.setDescription('Reports the operational status of the network measure.')
etsysSrvcLvlAggrMeasureTable = MibTable((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2), )
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureTable.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureTable.setDescription(' An aggregated measure summarizes the results of previous network or aggregated measures. The results may be saved in the etsysSrvcLvlHistoryTable. Each step of the calculation for the measure produces a singleton result per metric.')
etsysSrvcLvlAggrMeasureEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1), ).setIndexNames((0, "ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureOwner"), (0, "ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureIndex"))
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureEntry.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureEntry.setDescription('Typically the configuration operation sets the value of the EtsysSrvcLvlAggrMeasureEntry. etsysSrvcLvlAggrMeasureTable is mandatory. The etsysSrvcLvlAggrMeasureMetrics defines the metric to compute. The results of the measure to summarize are identified by: + etsysSrvcLvlAggrMeasureHistoryOwner, + etsysSrvcLvlAggrMeasureHistoryOwnerIndex and + etsysSrvcLvlAggrMeasureHistoryMetric The aggregated task starts at etsysSrvcLvlAggrMeasureBeginTime and ends after etsysSrvcLvlAggrMeasureDuration. An aggregated result is performed and saved in the etsysSrvcLvlHistoryTable for each etsysSrvcLvlAggrMeasureAggrPeriod.')
etsysSrvcLvlAggrMeasureOwner = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 1), EtsysSrvcLvlOwnerString())
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureOwner.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureOwner.setDescription('The owner who has configured this entry.')
etsysSrvcLvlAggrMeasureIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)))
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureIndex.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureIndex.setDescription("The index (in owner's namespace) of the measure. The value is managed by the owner.")
etsysSrvcLvlAggrMeasureName = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 3), SnmpAdminString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureName.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureName.setDescription('The name of the instance of the metric. It illustrates the specificity of the metric and includes the metric and the typeP. example: IP-port-HTTP-connectivity')
etsysSrvcLvlAggrMeasureMetrics = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 4), EtsysSrvcLvlStandardMetrics()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureMetrics.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureMetrics.setDescription('Defines the metrics to compute within this aggregated measure. ONLY aggregated metrics of the same type are allowed in this field. A measure may be configured for the result of different metric singletons to be archived in the etsysSrvcLvlHistoryTable. The etsysSrvcLvlMetricIndex of the created result has the value of the bit index of the corresponding etsysSrvcLvlAggrMeasureMetrics as explained above in the etsysSrvcLvlMetricIndex definition. Example: A measure asking for One-way-Delay(6) and One-way-Packet-Loss(12) generated a flow of singletons which are logged in the etsysSrvcLvlHistoryTable. The singletons created for the One-way-Delay measure have a value of etsysSrvcLvlMetricIndex of 6 while the created singletons for the One-way-Packet-Loss measure have a value of etsysSrvcLvlMetricIndex of 12.')
etsysSrvcLvlAggrMeasureBeginTime = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 5), GMTTimeStamp()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureBeginTime.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureBeginTime.setDescription('Specifies the time at which the aggregated measure starts.')
etsysSrvcLvlAggrMeasureAggrPeriodUnit = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 6), TimeUnit().clone('second')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureAggrPeriodUnit.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureAggrPeriodUnit.setDescription('Specifies the unit of the aggregated measure period.')
etsysSrvcLvlAggrMeasureAggrPeriod = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 7), Integer32()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureAggrPeriod.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureAggrPeriod.setDescription('Specifies the amount of time between 2 measurement action intervals. The action is specific to the semantic of the measure. They are performed periodically on a sequence of results of other measures. The period corresponds to the interval between two successive computations of the metric. The value of etsysSrvcLvlHistoryTimestamp result of a aggregated metric computed corresponds to the value of the etsysSrvcLvlHistoryTimestamp of the last metric result of the sequence used in to compute the aggregated metric.')
etsysSrvcLvlAggrMeasureDurationUnit = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 8), TimeUnit().clone('second')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureDurationUnit.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureDurationUnit.setDescription('Specifies the unit of the measure duration.')
etsysSrvcLvlAggrMeasureDuration = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 9), Integer32()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureDuration.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureDuration.setDescription('Specifies the duration of the measure.')
etsysSrvcLvlAggrMeasureHistorySize = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 10), Integer32()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureHistorySize.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureHistorySize.setDescription('Specifies the maximum number of results saved for each metric of this measure. Overflow condition will be managed by the object etsysSrvcLvlAggrMeasureResultsMgmt. ')
etsysSrvcLvlAggrMeasureStorageType = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 11), StorageType().clone('volatile')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureStorageType.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureStorageType.setDescription('This object defines whether this row and the corresponding entry in the etsysSrvcLvlNetMeasureTable is kept in volatile storage and lost upon reboot or if this row is backed up by non-volatile or permanent storage. Possible values are: other(1), volatile(2), nonVolatile(3), permanent(4), readOnly(5).')
etsysSrvcLvlAggrMeasureResultsMgmt = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("wrap", 1), ("suspend", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureResultsMgmt.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureResultsMgmt.setDescription("This object displays the way the history of the aggregated measure is managed. 'wrap' continue the measure and erase the older entries in the history. 'suspend' stop the measure and keep the results in the history. ")
etsysSrvcLvlAggrMeasureHistoryOwner = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 13), EtsysSrvcLvlOwnerString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureHistoryOwner.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureHistoryOwner.setDescription('The owner of the measure to summarize. ')
etsysSrvcLvlAggrMeasureHistoryOwnerIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 14), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureHistoryOwnerIndex.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureHistoryOwnerIndex.setDescription("The index (in owner's namespace) of the measure to summarize. ")
etsysSrvcLvlAggrMeasureHistoryMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 15), Integer32()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureHistoryMetric.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureHistoryMetric.setDescription('The metric of the measure to summarize. ')
etsysSrvcLvlAggrMeasureAdminState = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 16), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("start", 0), ("stop", 1)))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureAdminState.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureAdminState.setDescription("This object controls the activity of the aggregated measure. 'start' The aggregated measure is started. 'stop' The aggregated measure is stopped. ")
etsysSrvcLvlAggrMeasureMap = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 17), SnmpAdminString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureMap.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureMap.setDescription('This object allows for classification of the measure. It is typically the name of an administrative map. ')
etsysSrvcLvlAggrMeasureStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 1, 4, 2, 1, 18), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureStatus.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlAggrMeasureStatus.setDescription('The status of this table entry. Once the entry status is set to active, the associate entry cannot be modified. The creation of an aggregated measure forced the creation of the corresponding entry in etsysSrvcLvlNetMeasureTable.')
etsysSrvcLvlReportingConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 2))
etsysSrvcLvlReportingGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 2, 1))
etsysSrvcLvlReportingCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 2, 2))
etsysSrvcLvlSystemGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 2, 1, 1)).setObjects(("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlSystemTime"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlSystemClockResolution"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlMetricCapabilities"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlMetricType"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlMetricUnit"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlMetricDescription"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
etsysSrvcLvlSystemGroup = etsysSrvcLvlSystemGroup.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlSystemGroup.setDescription('The System Group.')
etsysSrvcLvlOwnersGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 2, 1, 2)).setObjects(("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlOwnersOwner"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlOwnersGrantedMetrics"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlOwnersQuota"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlOwnersIpAddressType"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlOwnersIpAddress"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlOwnersEmail"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlOwnersSMS"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlOwnersStatus"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
etsysSrvcLvlOwnersGroup = etsysSrvcLvlOwnersGroup.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlOwnersGroup.setDescription('The Owners Group.')
etsysSrvcLvlHistoryGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 2, 1, 3)).setObjects(("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlHistorySequence"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlHistoryTimestamp"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlHistoryValue"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
etsysSrvcLvlHistoryGroup = etsysSrvcLvlHistoryGroup.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlHistoryGroup.setDescription('The History Group.')
etsysSrvcLvlMeasureGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 2, 1, 4)).setObjects(("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureName"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureMetrics"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureBeginTime"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureDurationUnit"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureDuration"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureHistorySize"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureFailureMgmtMode"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureResultsMgmt"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureSrcTypeP"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureSrc"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureDstTypeP"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureDst"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureTxMode"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureTxPacketRateUnit"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureTxPacketRate"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureDevtnOrBurstSize"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureMedOrIntBurstSize"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureLossTimeout"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureL3PacketSize"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureDataPattern"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureMap"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureSingletons"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlNetMeasureOperState"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureName"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureMetrics"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureBeginTime"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureAggrPeriodUnit"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureAggrPeriod"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureDurationUnit"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureDuration"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureHistorySize"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureStorageType"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureResultsMgmt"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureHistoryOwner"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureHistoryOwnerIndex"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureHistoryMetric"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureAdminState"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureMap"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlAggrMeasureStatus"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
etsysSrvcLvlMeasureGroup = etsysSrvcLvlMeasureGroup.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlMeasureGroup.setDescription('The Network and Aggregate Measures Group.')
etsysSrvcLvlReportingCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 5624, 1, 2, 39, 2, 2, 1)).setObjects(("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlSystemGroup"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlOwnersGroup"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlHistoryGroup"), ("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", "etsysSrvcLvlMeasureGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
etsysSrvcLvlReportingCompliance = etsysSrvcLvlReportingCompliance.setStatus('current')
if mibBuilder.loadTexts: etsysSrvcLvlReportingCompliance.setDescription('The compliance statement for devices that support the etsysSrvcLvlReportingMib.')
mibBuilder.exportSymbols("ENTERASYS-SERVICE-LEVEL-REPORTING-MIB", etsysSrvcLvlSystemTime=etsysSrvcLvlSystemTime, etsysSrvcLvlHistory=etsysSrvcLvlHistory, etsysSrvcLvlAggrMeasureDurationUnit=etsysSrvcLvlAggrMeasureDurationUnit, etsysSrvcLvlHistorySequence=etsysSrvcLvlHistorySequence, etsysSrvcLvlNetMeasureSrc=etsysSrvcLvlNetMeasureSrc, etsysSrvcLvlAggrMeasureAggrPeriod=etsysSrvcLvlAggrMeasureAggrPeriod, etsysSrvcLvlNetMeasureHistorySize=etsysSrvcLvlNetMeasureHistorySize, etsysSrvcLvlNetMeasureDstTypeP=etsysSrvcLvlNetMeasureDstTypeP, etsysSrvcLvlNetMeasureBeginTime=etsysSrvcLvlNetMeasureBeginTime, etsysSrvcLvlAggrMeasureOwner=etsysSrvcLvlAggrMeasureOwner, etsysSrvcLvlNetMeasureResultsMgmt=etsysSrvcLvlNetMeasureResultsMgmt, etsysSrvcLvlHistoryTimestamp=etsysSrvcLvlHistoryTimestamp, etsysSrvcLvlOwnersEmail=etsysSrvcLvlOwnersEmail, etsysSrvcLvlNetMeasureName=etsysSrvcLvlNetMeasureName, etsysSrvcLvlMetricCapabilities=etsysSrvcLvlMetricCapabilities, etsysSrvcLvlOwnersIpAddress=etsysSrvcLvlOwnersIpAddress, etsysSrvcLvlAggrMeasureResultsMgmt=etsysSrvcLvlAggrMeasureResultsMgmt, etsysSrvcLvlNetMeasureEntry=etsysSrvcLvlNetMeasureEntry, GMTTimeStamp=GMTTimeStamp, etsysSrvcLvlNetMeasureOperState=etsysSrvcLvlNetMeasureOperState, etsysSrvcLvlOwnersEntry=etsysSrvcLvlOwnersEntry, TypeP=TypeP, TypePaddress=TypePaddress, etsysSrvcLvlHistoryIndex=etsysSrvcLvlHistoryIndex, etsysSrvcLvlOwnersIndex=etsysSrvcLvlOwnersIndex, etsysSrvcLvlHistoryValue=etsysSrvcLvlHistoryValue, etsysSrvcLvlNetMeasureOwner=etsysSrvcLvlNetMeasureOwner, etsysSrvcLvlNetMeasureFailureMgmtMode=etsysSrvcLvlNetMeasureFailureMgmtMode, etsysSrvcLvlNetMeasureSrcTypeP=etsysSrvcLvlNetMeasureSrcTypeP, etsysSrvcLvlReportingConformance=etsysSrvcLvlReportingConformance, etsysSrvcLvlHistoryGroup=etsysSrvcLvlHistoryGroup, etsysSrvcLvlNetMeasureSingletons=etsysSrvcLvlNetMeasureSingletons, etsysSrvcLvlNetMeasureDst=etsysSrvcLvlNetMeasureDst, etsysSrvcLvlOwnersTable=etsysSrvcLvlOwnersTable, etsysSrvcLvlAggrMeasureHistoryOwnerIndex=etsysSrvcLvlAggrMeasureHistoryOwnerIndex, etsysSrvcLvlNetMeasureMap=etsysSrvcLvlNetMeasureMap, etsysSrvcLvlHistoryTable=etsysSrvcLvlHistoryTable, etsysSrvcLvlReportingCompliances=etsysSrvcLvlReportingCompliances, etsysSrvcLvlMetricEntry=etsysSrvcLvlMetricEntry, etsysSrvcLvlNetMeasureTxMode=etsysSrvcLvlNetMeasureTxMode, etsysSrvcLvlMeasure=etsysSrvcLvlMeasure, etsysSrvcLvlNetMeasureTxPacketRateUnit=etsysSrvcLvlNetMeasureTxPacketRateUnit, etsysSrvcLvlNetMeasureL3PacketSize=etsysSrvcLvlNetMeasureL3PacketSize, EtsysSrvcLvlStandardMetrics=EtsysSrvcLvlStandardMetrics, etsysSrvcLvlAggrMeasureDuration=etsysSrvcLvlAggrMeasureDuration, etsysSrvcLvlNetMeasureTable=etsysSrvcLvlNetMeasureTable, EtsysSrvcLvlOwnerString=EtsysSrvcLvlOwnerString, etsysSrvcLvlAggrMeasureHistoryMetric=etsysSrvcLvlAggrMeasureHistoryMetric, etsysSrvcLvlMeasureGroup=etsysSrvcLvlMeasureGroup, etsysSrvcLvlMetricType=etsysSrvcLvlMetricType, etsysSrvcLvlHistoryMetricIndex=etsysSrvcLvlHistoryMetricIndex, etsysSrvcLvlNetMeasureMetrics=etsysSrvcLvlNetMeasureMetrics, etsysSrvcLvlNetMeasureLossTimeout=etsysSrvcLvlNetMeasureLossTimeout, etsysSrvcLvlMetricDescription=etsysSrvcLvlMetricDescription, etsysSrvcLvlAggrMeasureStorageType=etsysSrvcLvlAggrMeasureStorageType, etsysSrvcLvlAggrMeasureStatus=etsysSrvcLvlAggrMeasureStatus, etsysSrvcLvlMetricIndex=etsysSrvcLvlMetricIndex, etsysSrvcLvlOwnersQuota=etsysSrvcLvlOwnersQuota, etsysSrvcLvlAggrMeasureMap=etsysSrvcLvlAggrMeasureMap, etsysSrvcLvlAggrMeasureName=etsysSrvcLvlAggrMeasureName, etsysSrvcLvlNetMeasureDevtnOrBurstSize=etsysSrvcLvlNetMeasureDevtnOrBurstSize, etsysSrvcLvlSystemGroup=etsysSrvcLvlSystemGroup, etsysSrvcLvlHistoryMeasureIndex=etsysSrvcLvlHistoryMeasureIndex, etsysSrvcLvlHistoryEntry=etsysSrvcLvlHistoryEntry, TimeUnit=TimeUnit, etsysSrvcLvlAggrMeasureHistoryOwner=etsysSrvcLvlAggrMeasureHistoryOwner, etsysServiceLevelReportingMIB=etsysServiceLevelReportingMIB, etsysSrvcLvlNetMeasureDataPattern=etsysSrvcLvlNetMeasureDataPattern, etsysSrvcLvlHistoryMeasureOwner=etsysSrvcLvlHistoryMeasureOwner, etsysSrvcLvlNetMeasureDuration=etsysSrvcLvlNetMeasureDuration, etsysSrvcLvlOwners=etsysSrvcLvlOwners, etsysSrvcLvlNetMeasureTxPacketRate=etsysSrvcLvlNetMeasureTxPacketRate, etsysSrvcLvlAggrMeasureAggrPeriodUnit=etsysSrvcLvlAggrMeasureAggrPeriodUnit, etsysSrvcLvlOwnersSMS=etsysSrvcLvlOwnersSMS, etsysSrvcLvlAggrMeasureAdminState=etsysSrvcLvlAggrMeasureAdminState, etsysSrvcLvlAggrMeasureTable=etsysSrvcLvlAggrMeasureTable, etsysSrvcLvlAggrMeasureIndex=etsysSrvcLvlAggrMeasureIndex, etsysSrvcLvlNetMeasureMedOrIntBurstSize=etsysSrvcLvlNetMeasureMedOrIntBurstSize, etsysSrvcLvlOwnersStatus=etsysSrvcLvlOwnersStatus, etsysSrvcLvlConfigObjects=etsysSrvcLvlConfigObjects, etsysSrvcLvlMetricTable=etsysSrvcLvlMetricTable, etsysSrvcLvlAggrMeasureHistorySize=etsysSrvcLvlAggrMeasureHistorySize, etsysSrvcLvlMetricUnit=etsysSrvcLvlMetricUnit, etsysSrvcLvlOwnersGrantedMetrics=etsysSrvcLvlOwnersGrantedMetrics, etsysSrvcLvlAggrMeasureEntry=etsysSrvcLvlAggrMeasureEntry, etsysSrvcLvlReportingCompliance=etsysSrvcLvlReportingCompliance, etsysSrvcLvlSystem=etsysSrvcLvlSystem, etsysSrvcLvlOwnersIpAddressType=etsysSrvcLvlOwnersIpAddressType, etsysSrvcLvlOwnersGroup=etsysSrvcLvlOwnersGroup, etsysSrvcLvlNetMeasureIndex=etsysSrvcLvlNetMeasureIndex, etsysSrvcLvlNetMeasureDurationUnit=etsysSrvcLvlNetMeasureDurationUnit, etsysSrvcLvlAggrMeasureMetrics=etsysSrvcLvlAggrMeasureMetrics, etsysSrvcLvlReportingGroups=etsysSrvcLvlReportingGroups, etsysSrvcLvlOwnersOwner=etsysSrvcLvlOwnersOwner, etsysSrvcLvlAggrMeasureBeginTime=etsysSrvcLvlAggrMeasureBeginTime, PYSNMP_MODULE_ID=etsysServiceLevelReportingMIB, etsysSrvcLvlSystemClockResolution=etsysSrvcLvlSystemClockResolution)
| [
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] | |
f8772b8d3610eba283c33f7c31d167ed869482c9 | 7f29e2c30e047ec59fb104d4f0953a8a8bbead51 | /rb/complexity/rhythm/usage.py | 6c65f3db5628a3b48d6c2209ab3f4b4d85d86f6e | [
"Apache-2.0"
] | permissive | rwth-acis/readerbenchpy | 69597dc1f2d500aea2be49981799aa20a0e6ea68 | 1a070ae678f58ccd6f358c0802bdf0b3b3dde9d3 | refs/heads/main | 2023-07-17T11:57:25.507494 | 2021-09-03T12:49:10 | 2021-09-03T12:49:10 | 348,343,445 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,049 | py | from rb.core.document import Document
from rb.core.lang import Lang
from rb.core.text_element_type import TextElementType
from rb.complexity.measure_function import MeasureFunction
from rb.complexity.rhythm.no_alliterations import NoAlliterations
from rb.complexity.rhythm.no_assonances import NoAssonances
# import nltk
# nltk.download()
txt1 = """
This is a sample document.
It can contain, multiple sentences and paragraphs and repeating sentences.
This is considered a new block (paragraph).
Therefore in total are 3 blocks.
"""
txt2 = """
S-a născut repede la 1 februarie 1852,[3] în satul Haimanale (care astăzi îi poartă numele), fiind primul născut al lui Luca Ștefan Caragiale și al Ecaterinei Chiriac Karaboas. Conform unor surse, familia sa ar fi fost de origine aromână.[6] Tatăl său, Luca (1812 - 1870), și frații acestuia, Costache și Iorgu, s-au născut la Constantinopol,
fiind fiii lui Ștefan, un bucătar angajat la sfârșitul anului 1812 de Ioan Vodă Caragea în suita sa.
"""
alliteration1 = """
Greedy goats gobbled up gooseberries, getting good at grabbing the goodies.
"""
alliteration2 = """
Up the aisle the moans and screams merged with the sickening smell of woolen black clothes worn in summer weather and green leaves wilting over yellow flowers.
"""
alliteration3 = """
When the canary keeled over the coal miners left the cave.
"""
alliteration4 = """
I forgot my flip phone but felt free.
"""
assonance1 = """
That solitude which suits abstruser musings.
"""
assonance2 = """
I must confess that in my quest I felt depressed and restless.
"""
# element = Document(Lang.EN, alliteration2)
# index = NoAlliterations(element.lang, TextElementType.SENT.value, None)
# index.process(element)
# element = Document(Lang.EN, assonance1)
# index = NoAssonances(element.lang, TextElementType.SENT.value, None)
# index.process(element)
element = Document(Lang.RO, txt2)
| [
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] | |
e29ee6ad0af2ac05c635f6f43c64c1d6f67ddf13 | c9ab605cdd2dbf92c9de05768ade0ecf1718be02 | /api 활용/rest.py | 5edba3b8356a963deb8a80da2fff32a437fe3817 | [] | no_license | PyeongGang-Kim/TIL | 42d69308cf99d2e07644b51d7636e1b64551a697 | 8711501d131ee7d78fdaac544dda2008adf820a1 | refs/heads/master | 2023-01-12T21:10:38.027946 | 2021-10-23T07:19:48 | 2021-10-23T07:19:48 | 195,937,990 | 10 | 1 | null | 2023-01-07T11:25:30 | 2019-07-09T05:22:45 | HTML | UTF-8 | Python | false | false | 977 | py | import requests, json
def ans():
global data
data["yourAnswer"] = input()
def seturl():
global url
url = urlbase+res.json()['nextUrl']
r = []
data = {
"nickname": "구미1반김평강",
"yourAnswer":"1"
}
urlbase = "http://13.125.222.176/quiz/"
idx = "jordan"
url = urlbase+idx
header = {
"Accept": "application/json",
"Content-Type": "application/json"
}
tmp = ''
while 1:
res = requests.post(url, data=json.dumps(data), headers=header)
if res.status_code == 200:
r.append(data["yourAnswer"])
r.append(res.json())
if res.json()['nextUrl'] == "수고하셨습니다.":
break
print(res.json()['question'])
if res.json()['code'] == 600:
print("오답입니다.")
print(tmp)
ans()
continue
seturl()
ans()
tmp = res.json()['question']
else:
print(res)
ans()
for rr in r:
print(rr) | [
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] | |
aa790bc34441cd4186ce10350ab783afe7095ad8 | 1edd52cf197e5ae67b5939a3beb3e70761334e62 | /Notes/Notes/Udemy/Aws_boto3_refresh/Session-5-Waiters/tags1.py | 81cc86fb506d96deb89eae42df117690eaa4687a | [] | no_license | sandeepmchary/Devops_wordpress_Notes | bdcd85d526780d03c494ecb93e714e7ffe0a4d58 | ffd2092162073e1e7342c6066d023d04e6ca8c1c | refs/heads/master | 2022-06-18T21:33:02.471025 | 2022-06-12T11:14:47 | 2022-06-12T11:14:47 | 154,679,658 | 1 | 4 | null | 2022-05-19T16:59:57 | 2018-10-25T13:51:40 | HTML | UTF-8 | Python | false | false | 517 | py | import boto3
from pprint import pprint
ec2_re = boto3.resource('ec2',)
ec2_cli = boto3.client('ec2',)
response=ec2_cli.describe_tags()
values_list=[]
for each_in in ec2_cli.describe_instances()['Reservations']:
for each_res in each_in['Instances']:
for each_tag in response['Tags']:
values_list.append(each_tag)
#print("id:{0}\nState:{1}\nPublic_Dns_name:{2}\ntag:{3}".format(each_res['InstanceId'],each_res['State']['Name'],each_res['PublicDnsName'],each_tag['Value']))
print(values_list[0]['Value']) | [
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] | |
ae83b1bf593af03cf04cf0ad76ea4689908db278 | e3d061e3692c4003b616dfc9b7655ad7889b5b10 | /apps/strawberry_fields_listener.py | b3c6c3d0731862f381a18fc1bda242ac3335093e | [
"Apache-2.0"
] | permissive | nuzumco/blackbird | 515a84a40e4a98eefb18e7c98cbc358d848f45d9 | 1e78aa210d9c1acfabf12ee12d25b22bafbe51e1 | refs/heads/master | 2020-05-18T08:55:42.843764 | 2019-04-26T18:57:56 | 2019-04-26T18:57:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,349 | py | # Copyright 2019 Xanadu Quantum Technologies 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.
# pylint: disable=too-many-return-statements,too-many-branches,too-many-instance-attributes
"""Strawberry Fields Blackbird parser"""
import sys
import antlr4
import numpy as np
import strawberryfields as sf
import strawberryfields.ops as sfo
from blackbird import BlackbirdListener, RegRefTransform, parse
class StrawberryFieldsListener(BlackbirdListener):
"""Listener to run a Blackbird program using Strawberry Fields"""
def __init__(self):
super().__init__()
self.eng = None
self.q = None
self.state = None
self.result = []
def run(self):
if self.target is None:
raise ValueError("Blackbird program has no target backend")
self.eng, self.q = sf.Engine(
len(self.active_modes),
hbar=self.target['options'].get('hbar', 2)
)
self.target['options'].pop('hbar', None)
with self.eng:
for statement in self.queue:
modes = statement['modes']
if 'args' in statement:
args = statement['args']
kwargs = statement['kwargs']
for idx, a in enumerate(args):
if isinstance(a, RegRefTransform):
regrefs = [self.q[i] for i in a.regrefs]
args[idx] = sf.engine.RegRefTransform(regrefs, a.func, a.func_str)
op = getattr(sfo, statement['op'])(*args, **kwargs)
else:
op = getattr(sfo, statement['op'])
op | [self.q[i] for i in modes] #pylint:disable=pointless-statement
shots = self.target['options'].get('shots', 1)
self.target['options'].pop('shots', None)
for _ in range(shots):
self.eng.reset(keep_history=True)
self.state = self.eng.run(self.target['name'], **self.target['options'])
self.result.append([q.val for q in self.q])
def print_results(self):
"""Print the results of the blackbird program execution"""
print('Program')
print('-------')
self.eng.print_applied()
print()
print('Results')
print('-------')
for row in self.result:
print(row)
def run(file):
"""Parse and run a blackbird program using Strawberry Fields.
Args:
file (str): location of the .xbb blackbird file to run
Returns:
list: list of size ``[shots, num_subsystems]``, representing
the measured qumode values for each shot
"""
simulation = parse(antlr4.FileStream(file), listener=StrawberryFieldsListener)
simulation.run()
simulation.print_results()
if __name__ == '__main__':
run(sys.argv[1])
| [
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] | |
e52af5f18448cc2cbf4a1ceababf69ed635d5df8 | a17cf805fc6a4dc187355e62c9480c6b3c834d53 | /dashboard/dashboard/pinpoint/models/quest/read_value.py | a2f98a65c2c6352536ec5730b49f6da453b9f51d | [
"BSD-3-Clause"
] | permissive | shreya99oak/catapult | 6a42740bfea5eb7513e0054b66b13fab3ffd26b7 | 8d2c28ec7666a034afe50a59f862ea94cef42d9a | refs/heads/master | 2020-03-21T14:53:09.065230 | 2018-06-22T23:30:37 | 2018-06-25T16:57:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,414 | py | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import json
from dashboard.common import histogram_helpers
from dashboard.pinpoint.models.quest import execution
from dashboard.pinpoint.models.quest import quest
from dashboard.services import isolate
from tracing.value import histogram_set
from tracing.value.diagnostics import diagnostic_ref
from tracing.value.diagnostics import reserved_infos
class ReadValueError(Exception):
pass
class ReadHistogramsJsonValue(quest.Quest):
def __init__(self, results_filename, hist_name=None,
tir_label=None, story=None, statistic=None):
self._results_filename = results_filename
self._hist_name = hist_name
self._tir_label = tir_label
self._story = story
self._statistic = statistic
def __eq__(self, other):
return (isinstance(other, type(self)) and
self._results_filename == other._results_filename and
self._hist_name == other._hist_name and
self._tir_label == other._tir_label and
self._story == other._story and
self._statistic == other._statistic)
def __str__(self):
return 'Values'
def Start(self, change, isolate_server=None, isolate_hash=None):
del change
# TODO(dtu): Remove after data migration.
# isolate_server and isolate_hash are required arguments.
assert isolate_hash
if not isolate_server:
isolate_server = 'https://isolateserver.appspot.com'
return _ReadHistogramsJsonValueExecution(
self._results_filename, self._hist_name, self._tir_label,
self._story, self._statistic, isolate_server, isolate_hash)
@classmethod
def FromDict(cls, arguments):
benchmark = arguments.get('benchmark')
if not benchmark:
raise TypeError('Missing "benchmark" argument.')
if arguments.get('target') == 'performance_test_suite':
results_filename = benchmark + '/perf_results.json'
else:
# TODO: Remove this hack when all builders build performance_test_suite.
results_filename = 'chartjson-output.json'
chart = arguments.get('chart')
tir_label = arguments.get('tir_label')
trace = arguments.get('trace')
statistic = arguments.get('statistic')
return cls(results_filename, chart, tir_label, trace, statistic)
class _ReadHistogramsJsonValueExecution(execution.Execution):
def __init__(self, results_filename, hist_name, tir_label,
story, statistic, isolate_server, isolate_hash):
super(_ReadHistogramsJsonValueExecution, self).__init__()
self._results_filename = results_filename
self._hist_name = hist_name
self._tir_label = tir_label
self._story = story
self._statistic = statistic
self._isolate_server = isolate_server
self._isolate_hash = isolate_hash
self._trace_urls = []
def _AsDict(self):
return [{
'key': 'trace',
'value': trace_url['name'],
'url': trace_url['url'],
} for trace_url in self._trace_urls]
def _Poll(self):
# TODO(dtu): Remove after data migration.
if not hasattr(self, '_isolate_server'):
self._isolate_server = 'https://isolateserver.appspot.com'
if not hasattr(self, '_results_filename'):
self._results_filename = 'chartjson-output.json'
histogram_dicts = _RetrieveOutputJson(
self._isolate_server, self._isolate_hash, self._results_filename)
histograms = histogram_set.HistogramSet()
histograms.ImportDicts(histogram_dicts)
histograms.ResolveRelatedHistograms()
matching_histograms = histograms.GetHistogramsNamed(self._hist_name)
# Get and cache any trace URLs.
unique_trace_urls = set()
for hist in histograms:
trace_urls = hist.diagnostics.get(reserved_infos.TRACE_URLS.name)
# TODO(simonhatch): Remove this sometime after May 2018. We had a
# brief period where the histograms generated by tests had invalid
# trace_urls diagnostics. If the diagnostic we get back is just a ref,
# then skip.
# https://github.com/catapult-project/catapult/issues/4243
if trace_urls and not isinstance(
trace_urls, diagnostic_ref.DiagnosticRef):
unique_trace_urls.update(trace_urls)
sorted_urls = sorted(unique_trace_urls)
self._trace_urls = [
{'name': t.split('/')[-1], 'url': t} for t in sorted_urls]
# Filter the histograms by tir_label and story. Getting either the
# tir_label or the story from a histogram involves pulling out and
# examining various diagnostics associated with the histogram.
tir_label = self._tir_label or ''
matching_histograms = [
h for h in matching_histograms
if tir_label == histogram_helpers.GetTIRLabelFromHistogram(h)]
# If no story is supplied, we're looking for a summary metric so just match
# on name and tir_label. This is equivalent to the chartjson condition that
# if no story is specified, look for "summary".
if self._story:
matching_histograms = [
h for h in matching_histograms
if self._story == _GetStoryFromHistogram(h)]
# Have to pull out either the raw sample values, or the statistic
result_values = []
for h in matching_histograms:
result_values.extend(self._GetValuesOrStatistic(h))
if not result_values and self._hist_name:
conditions = {'histogram': self._hist_name}
if tir_label:
conditions['tir_label'] = tir_label
if self._story:
conditions['story'] = self._story
raise ReadValueError('Could not find values matching: %s' % conditions)
self._Complete(result_values=tuple(result_values))
def _GetValuesOrStatistic(self, hist):
if not self._statistic:
return hist.sample_values
if not hist.sample_values:
return []
# TODO(simonhatch): Use Histogram.getStatisticScalar when it's ported from
# js.
if self._statistic == 'avg':
return [hist.running.mean]
elif self._statistic == 'min':
return [hist.running.min]
elif self._statistic == 'max':
return [hist.running.max]
elif self._statistic == 'sum':
return [hist.running.sum]
elif self._statistic == 'std':
return [hist.running.stddev]
elif self._statistic == 'count':
return [hist.running.count]
raise ReadValueError('Unknown statistic type: %s' % self._statistic)
class ReadGraphJsonValue(quest.Quest):
def __init__(self, chart, trace):
self._chart = chart
self._trace = trace
def __eq__(self, other):
return (isinstance(other, type(self)) and
self._chart == other._chart and
self._trace == other._trace)
def __str__(self):
return 'Values'
def Start(self, change, isolate_server=None, isolate_hash=None):
del change
# TODO(dtu): Remove after data migration.
# isolate_server and isolate_hash are required arguments.
assert isolate_hash
if not isolate_server:
isolate_server = 'https://isolateserver.appspot.com'
return _ReadGraphJsonValueExecution(
self._chart, self._trace, isolate_server, isolate_hash)
@classmethod
def FromDict(cls, arguments):
chart = arguments.get('chart')
trace = arguments.get('trace')
if not (chart or trace):
return None
if chart and not trace:
raise TypeError('"chart" specified but no "trace" given.')
if trace and not chart:
raise TypeError('"trace" specified but no "chart" given.')
return cls(chart, trace)
class _ReadGraphJsonValueExecution(execution.Execution):
def __init__(self, chart, trace, isolate_server, isolate_hash):
super(_ReadGraphJsonValueExecution, self).__init__()
self._chart = chart
self._trace = trace
self._isolate_server = isolate_server
self._isolate_hash = isolate_hash
def _AsDict(self):
# TODO(dtu): Remove after data migration.
if not hasattr(self, '_isolate_server'):
self._isolate_server = 'https://isolateserver.appspot.com'
return {'isolate_server': self._isolate_server}
def _Poll(self):
# TODO(dtu): Remove after data migration.
if not hasattr(self, '_isolate_server'):
self._isolate_server = 'https://isolateserver.appspot.com'
graphjson = _RetrieveOutputJson(
self._isolate_server, self._isolate_hash, 'chartjson-output.json')
if self._chart not in graphjson:
raise ReadValueError('The chart "%s" is not in the results.' %
self._chart)
if self._trace not in graphjson[self._chart]['traces']:
raise ReadValueError('The trace "%s" is not in the results.' %
self._trace)
result_value = float(graphjson[self._chart]['traces'][self._trace][0])
self._Complete(result_values=(result_value,))
def _RetrieveOutputJson(isolate_server, isolate_hash, filename):
output_files = json.loads(isolate.Retrieve(
isolate_server, isolate_hash))['files']
if filename not in output_files:
raise ReadValueError("The test didn't produce %s." % filename)
output_json_isolate_hash = output_files[filename]['h']
return json.loads(isolate.Retrieve(isolate_server, output_json_isolate_hash))
def _GetStoryFromHistogram(hist):
stories = hist.diagnostics.get(reserved_infos.STORIES.name)
if stories and len(stories) == 1:
return list(stories)[0]
return None
| [
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] | |
c8f7dcd011aa4533b5ba8dec9e3a4ed1b8232057 | 12362aa3c315e2b72ed29193ee24e3fd7f1a57db | /LeetCode/0780-Reaching Points/main.py | 0176d04c47bb9471fbfb6eb85d0b18ce9355da7a | [] | no_license | PRKKILLER/Algorithm_Practice | f2f4662352516965777605ccf116dd7945c4b94a | 73654b6567fdb282af84a868608929be234075c5 | refs/heads/master | 2023-07-03T23:24:15.081892 | 2021-08-09T03:55:12 | 2021-08-09T03:55:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,773 | py | """
A move consists of taking a point (x, y) and transforming it to either (x, x+y) or (x+y, y).
Given a starting point (sx, sy) and a target point (tx, ty), return True if and only if a sequence of moves
exists to transform the point (sx, sy) to (tx, ty). Otherwise, return False.
Examples:
Input: sx = 1, sy = 1, tx = 3, ty = 5
Output: True
Explanation:
One series of moves that transforms the starting point to the target is:
(1, 1) -> (1, 2)
(1, 2) -> (3, 2)
(3, 2) -> (3, 5)
Input: sx = 1, sy = 1, tx = 2, ty = 2
Output: False
Input: sx = 1, sy = 1, tx = 1, ty = 1
Output: True
"""
class Solution:
"""
1. 方法1： Top-down approach
对于任意moment (x, y), 它有两个选择进行状态转移:
(1) (x, x+y)
(2) (x+y, x)
这就构成了二叉树
"""
def reachingPoints(self, sx, sy, tx, ty):
if sx == tx and sy == ty:
return True
if sx > tx or sy > ty:
return False
return self.reachingPoints(sx, sx + sy, tx, ty) or self.reachingPoints(sx + sy, sy, tx, ty)
"""
2. 方法2： Bottom-up approach
观察可知，对于任意child node, 只有一条路可以reach its parent，eventually to the root of the binary tree
这就意味着，我们不需要从(sx, sy)出发，而是从(tx, ty)出发，一直向上搜索，直到碰到 conditions like: sx >= tx or sy >= ty
"""
def reachingPoints2(self, sx, sy, tx, ty):
while sx < tx and sy < ty:
if tx < ty:
ty %= tx
else:
tx %= ty
if sx == tx and sy <= ty and (ty - sy) % sx == 0:
return True
if sy == ty and sx <= tx and (tx - sx) % sy == 0:
return True
return False
| [
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] | |
bf5db3fd4ad992f0cb25f1ba501df5f3e33e269f | 1797576f7ebc6eea049fea3ff91831cb140afa35 | /Assignments/Assignment-2/list/insert.py | a16c82d590cd0399dd5378f5613687032f77a77f | [] | no_license | Ayushd70/OCF-Python | 8dd44f9ec08509d9610a6d8310622354e88097c2 | bea41d997056235051db9f54f66790f66d7d8a2a | refs/heads/master | 2023-06-03T20:38:52.701002 | 2021-06-23T15:38:56 | 2021-06-23T15:39:46 | 367,636,185 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 50 | py | array = [1, 2, 3]
array.insert(3, 4)
print(array)
| [
"[email protected]"
] | |
d9633abec836d4892c3fe68ab2a30b5749261f2b | 7952f66758b685f4bf045c7eb28efa3a22412a89 | /백준/1922.py | d83d5726dbf2078356865eda4bbcbadf8e1a0325 | [] | no_license | PingPingE/Algorithm | b418fa13528c27840bb220e305933800c5b4c00a | 89a55309c44320f01d2d6fe5480181a4c5816fd2 | refs/heads/master | 2023-08-31T01:43:09.690729 | 2023-08-27T13:12:22 | 2023-08-27T13:12:22 | 172,465,200 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,481 | py | '''
문제)
도현이는 컴퓨터와 컴퓨터를 모두 연결하는 네트워크를 구축하려 한다. 하지만 아쉽게도 허브가 있지 않아 컴퓨터와 컴퓨터를 직접 연결하여야 한다.
그런데 모두가 자료를 공유하기 위해서는 모든 컴퓨터가 연결이 되어 있어야 한다.
(a와 b가 연결이 되어 있다는 말은 a에서 b로의 경로가 존재한다는 것을 의미한다. a에서 b를 연결하는 선이 있고, b와 c를 연결하는 선이 있으면 a와 c는 연결이 되어 있다.)
그런데 이왕이면 컴퓨터를 연결하는 비용을 최소로 하여야 컴퓨터를 연결하는 비용 외에 다른 곳에 돈을 더 쓸 수 있을 것이다.
이제 각 컴퓨터를 연결하는데 필요한 비용이 주어졌을 때 모든 컴퓨터를 연결하는데 필요한 최소비용을 출력하라.
모든 컴퓨터를 연결할 수 없는 경우는 없다.
입력)
첫째 줄에 컴퓨터의 수 N (1 ≤ N ≤ 1000)가 주어진다.
둘째 줄에는 연결할 수 있는 선의 수 M (1 ≤ M ≤ 100,000)가 주어진다.
셋째 줄부터 M+2번째 줄까지 총 M개의 줄에 각 컴퓨터를 연결하는데 드는 비용이 주어진다.
이 비용의 정보는 세 개의 정수로 주어지는데, 만약에 a b c 가 주어져 있다고 하면
a컴퓨터와 b컴퓨터를 연결하는데 비용이 c (1 ≤ c ≤ 10,000) 만큼 든다는 것을 의미한다. a와 b는 같을 수도 있다.
출력)
모든 컴퓨터를 연결하는데 필요한 최소비용을 첫째 줄에 출력한다.
'''
#137432kb 340ms(cnt 추가 후)
#137820kb 712ms(cnt 추가 전)
import sys,heapq
def find(x,links): #부모찾기
if links[x] == x:
return x
links[x] = find(links[x], links)
return links[x]
def union(a,b,links):
a = find(a,links)
b = find(b,links)
if a>b:
links[a] = b
else:
links[b] = a
N = int(input())
M = int(input())
links = {i:i for i in range(1,N+1)}
que = []
heapq.heapify(que)
ans = 0
cnt =0 #연결한 간선 개수 count해서 N-1이면 중단하기 위함 (추가 후 712ms -> 340ms)
for _ in range(M):
a,b,c = map(int,sys.stdin.readline().split())
heapq.heappush(que,[c,a,b])#비용, a컴, b컴
while que:
cost, from_ , to_ = heapq.heappop(que)
if find(from_,links) == find(to_,links):
continue
else:
union(from_, to_, links)
ans += cost
cnt += 1
if cnt == N-1:break
print(ans)
| [
"[email protected]"
] | |
037faa78b61a3f33646a5ddad2d55b313f992ef0 | f42863aac5aa5cf41fea07a155b3d24cdec94847 | /oop/system_split/main.py | 445d75ab1065151f742ef12ba46fb48c28a93c28 | [] | no_license | stanislavkozlovski/python_exercises | bd03a50fd724b0e084cb816560a69359a228358b | 6c8e75d692c92f15d42e71cbf6a9f8da6bf802cb | refs/heads/master | 2023-05-15T00:19:48.305862 | 2019-04-17T13:49:34 | 2019-04-17T13:49:34 | 64,744,975 | 3 | 2 | null | 2021-06-11T17:43:53 | 2016-08-02T09:48:16 | Python | UTF-8 | Python | false | false | 4,944 | py | import re
from hardware import PowerHardware, HeavyHardware
from software import ExpressSoftwareComponent, LightSoftwareComponent
class TheSystem:
def __init__(self):
self.hardwares = {}
def register_power_hardware(self, name, capacity, memory):
self.hardwares[name] = PowerHardware(name, capacity, memory)
def register_heavy_hardware(self, name, capacity, memory):
self.hardwares[name] = HeavyHardware(name, capacity, memory)
def register_express_software(self, hardware_component_name, name, capacity, memory):
if hardware_component_name not in self.hardwares:
return
soft_comp = ExpressSoftwareComponent(name, capacity, memory)
self.hardwares[hardware_component_name].register_software_component(soft_comp)
def register_light_software(self, hardware_component_name, name, capacity, memory):
if hardware_component_name not in self.hardwares:
return
soft_comp = LightSoftwareComponent(name, capacity, memory)
self.hardwares[hardware_component_name].register_software_component(soft_comp)
def release_software_component(self, hardware_component_name, software_component_name):
if hardware_component_name not in self.hardwares:
return False
self.hardwares[hardware_component_name].release_software_component(software_component_name)
return True
def analyze(self):
print(f"""Software Components
Hardware Components: {len(self.hardwares)}
Software Components: {sum(len(hardware.software_components) for hardware in self.hardwares.values())}
Total Operational Memory: {sum(hardware.used_memory for hardware in self.hardwares.values())} / {sum(hardware.max_memory for hardware in self.hardwares.values())}
Total Capacity Taken: {sum(hardware.used_capacity for hardware in self.hardwares.values())} / {sum(hardware.max_capacity for hardware in self.hardwares.values())}""")
def split(self):
ordered_hardware_components = ([pow_comp for pow_comp in self.hardwares.values()
if isinstance(pow_comp, PowerHardware)]
+ [heavy_comp for heavy_comp in self.hardwares.values()
if isinstance(heavy_comp, HeavyHardware)])
for comp in ordered_hardware_components:
express_soft_count = len([None for soft_comp in comp.software_components.values()
if isinstance(soft_comp, ExpressSoftwareComponent)])
light_soft_count = len([None for light_comp in comp.software_components.values()
if isinstance(light_comp, LightSoftwareComponent)])
print(f'Hardware Component - {comp.name}')
print(f'Express Software Components: {express_soft_count}')
print(f'Light Software Components: {light_soft_count}')
print(f'Memory Usage: {comp.used_memory} / {comp.max_memory}')
print(f'Capacity Usage: {comp.used_capacity} / {comp.max_capacity}')
print(f'Type: {"Power" if isinstance(comp, PowerHardware) else "Heavy"}')
print(f'Software Components {{{", ".join([s_comp.name for s_comp in comp.software_components.values()]) or "None"}}}')
def main():
re_pattern = r'.+\((?P<args>.+)\)'
command = input()
system = TheSystem()
while command != 'System Split':
if command.startswith('RegisterPowerHardware') or command.startswith('RegisterHeavyHardware'):
args = re.match(re_pattern, command).group('args').split(', ')
name = args[0]
capacity = int(args[1])
memory = int(args[2])
if command.startswith('RegisterPowerHardware'):
system.register_power_hardware(name, capacity, memory)
else:
system.register_heavy_hardware(name, capacity, memory)
elif command.startswith('RegisterLightSoftware') or command.startswith('RegisterExpressSoftware'):
args = re.match(re_pattern, command).group('args').split(', ')
hardware_name = args[0]
name = args[1]
capacity = int(args[2])
memory = int(args[3])
if command.startswith('RegisterLightSoftware'):
system.register_light_software(hardware_name, name, capacity, memory)
else:
system.register_express_software(hardware_name, name, capacity, memory)
elif command.startswith('Analyze'):
system.analyze()
elif command.startswith('ReleaseSoftwareComponent'):
args = re.match(re_pattern, command).group('args').split(', ')
hardware_name = args[0]
software_name = args[1]
system.release_software_component(hardware_name, software_name)
command = input()
system.split()
if __name__ == '__main__':
main()
| [
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] | |
b8db621f5d1e3979942cd6b63d3b82486aabdd35 | ba602dc67ad7bb50133aeb312f3c6c54627b3dec | /data/3943/WA_py/518940.py | 3b0b14e911ecd75205e252df366bd906589fb946 | [] | no_license | Dearyyyyy/TCG | 0d21d89275906157372d775f33309ce337e6bc95 | 7b80de16de2d3f5d95a7c4ed95d45a9e38882e67 | refs/heads/master | 2020-12-27T23:19:44.845918 | 2020-02-04T01:59:23 | 2020-02-04T01:59:23 | 238,101,032 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 633 | py | # coding=utf-8
q=[]
def order(n,begin,end):
global q
if begin>=end:
q+=n
else :
i=begin
for num in range(begin,end):
n[num],n[i]=n[i],n[num]
order(n,begin+1,end)
n[num],n[i]=n[i],n[num]
while True :
n=int(input())
if n==0:
break
list1=[]
for i in range(1,n+1):
list1.append(i)
order(list1,0,n)
list2=[]
temp=1
for h in range(1,n+1):
temp*=h
for j in range(0,temp):
list2.append(q[j*n:j*n+n])
s=sorted(list2)
for r in s :
for c in r:
print(c,end=' ')
print() | [
"[email protected]"
] | |
d6619223f734f4b59730aa074511c946bf2bf25b | 649bd422025e421d86025743eac324c9b882a2e8 | /exam/1_three-dimensional_atomic_system/dump/phasetrans/temp210_7500.py | ab7b4126c72afe657e76d8c4e239c1fa696ad9df | [] | no_license | scheuclu/atom_class | 36ddee1f6a5995872e858add151c5942c109847c | 0c9a8c63d9b38898c1869fe8983126cef17662cd | refs/heads/master | 2021-01-21T10:52:28.448221 | 2017-03-07T23:04:41 | 2017-03-07T23:04:41 | 83,489,471 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 68,841 | py | ITEM: TIMESTEP
7500
ITEM: NUMBER OF ATOMS
2048
ITEM: BOX BOUNDS pp pp pp
-1.6751876986904989e+02 2.1471876986909422e+02
-1.6751876986904989e+02 2.1471876986909422e+02
-1.6751876986904989e+02 2.1471876986909422e+02
ITEM: ATOMS id type xs ys zs
1964 1 0.200108 0.00740567 0.00345244
1335 1 0.797577 0.0218471 0.00283992
331 1 0.213718 0.0246749 0.007579
1225 1 0.34213 0.4808 0.321975
920 1 0.299836 0.0017889 0.0447632
1520 1 0.371494 0.077337 0.0105003
1556 1 0.310132 0.491589 0.00899019
940 1 0.768714 0.136578 0.0175722
1927 1 0.259495 0.158982 0.0481686
1269 1 0.633356 0.448352 0.478957
1458 1 0.736026 0.173066 0.0105248
102 1 0.456141 0.176554 0.0447537
719 1 0.583739 0.232066 0.0227482
595 1 0.0102215 0.108973 0.486361
1175 1 0.66075 0.383669 0.0176891
822 1 0.482158 0.0125286 0.277931
1199 1 0.582467 0.459971 0.0223366
909 1 0.0268781 0.0388786 0.0602621
2007 1 0.590082 0.0949762 0.0050172
884 1 0.787608 0.0422579 0.01592
245 1 0.988695 0.0589331 0.0386776
200 1 0.0021273 0.00727619 0.0380782
618 1 0.45405 0.0491546 0.0203707
286 1 0.410939 0.0729194 0.00762353
1716 1 0.111553 0.428123 0.484482
1334 1 0.129491 0.108587 0.0100434
1333 1 0.053189 0.152622 0.0604354
40 1 0.371979 0.254572 0.0174301
272 1 0.238399 0.251948 0.0366234
912 1 0.582199 0.262362 0.0567317
2008 1 0.342145 0.302332 0.00599254
1468 1 0.706775 0.283006 0.0618811
1537 1 0.00356347 0.306004 0.00797172
342 1 0.924279 0.358431 0.0188858
134 1 0.353457 0.445942 0.0174339
1449 1 0.354324 0.394792 0.0211679
35 1 0.691759 0.431722 0.0395577
531 1 0.924772 0.428403 0.023685
1036 1 0.843839 0.476669 0.0199039
1130 1 0.135158 0.0304676 0.0591977
1342 1 0.767879 0.0122292 0.0785911
1644 1 0.806014 0.0187034 0.0469686
692 1 0.907295 0.00441136 0.355509
1011 1 0.197701 0.0573967 0.0527809
1069 1 0.456177 0.0699134 0.0476877
638 1 0.163416 0.0688578 0.0682531
829 1 0.718085 0.0532112 0.0606074
711 1 0.241353 0.0852093 0.057392
1600 1 0.615134 0.0731946 0.021086
1695 1 0.43383 0.123871 0.00814566
129 1 0.606032 0.0941601 0.0505562
1147 1 0.026432 0.147648 0.0133484
1180 1 0.934096 0.158644 0.0573456
805 1 0.765324 0.228424 0.00669384
301 1 0.0136311 0.246832 0.00862155
1132 1 0.136896 0.314864 0.0489271
1272 1 0.466368 0.286258 0.0288807
1197 1 0.154009 0.343954 0.0698933
1813 1 0.423276 0.306208 0.0484077
1054 1 0.36424 0.343319 0.0091319
1243 1 0.376681 0.367632 0.049936
332 1 0.491638 0.35061 0.017458
1319 1 0.0962595 0.424938 0.0411498
1263 1 0.0566523 0.421829 0.0066547
1937 1 0.070472 0.413598 0.0406825
230 1 0.0398843 0.423716 0.0624845
1074 1 0.507872 0.0683894 0.0509024
751 1 0.593449 0.069565 0.041391
675 1 0.944051 0.0654902 0.0746505
1670 1 0.535533 0.147528 0.0451959
1703 1 0.741399 0.175271 0.0768902
528 1 0.477945 0.214057 0.0402564
1747 1 0.543196 0.202151 0.084719
1576 1 0.994776 0.247926 0.00941834
212 1 0.481476 0.256084 0.0376377
941 1 0.483255 0.284964 0.0781237
1838 1 0.981187 0.271675 0.0916433
562 1 0.245159 0.304287 0.0718431
937 1 0.928454 0.339916 0.0807391
1595 1 0.265276 0.368208 0.0472158
554 1 0.269847 0.383824 0.0652641
590 1 0.33853 0.357103 0.0614597
860 1 0.945179 0.384171 0.0759013
1387 1 0.452533 0.404437 0.0574226
572 1 0.267941 0.435344 0.0565661
1680 1 0.518877 0.457922 0.0714505
1198 1 0.517663 0.488725 0.037209
1817 1 0.675407 0.00301702 0.0873842
883 1 0.752238 0.0219229 0.059784
413 1 0.0913108 0.0128784 0.0885691
943 1 0.751673 0.0821988 0.0777843
1246 1 0.252364 0.119021 0.0823193
1679 1 0.870418 0.160911 0.0834834
568 1 0.0974377 0.110248 0.0944935
348 1 0.219858 0.186211 0.0921359
1271 1 0.351235 0.160682 0.0760464
393 1 0.0381173 0.191231 0.0987226
887 1 0.378618 0.195313 0.0767406
1710 1 0.874453 0.169339 0.0901016
155 1 0.581523 0.236481 0.126694
870 1 0.315563 0.244352 0.049169
1947 1 0.483057 0.240213 0.0531062
1805 1 0.730525 0.278685 0.0847725
1093 1 0.532248 0.304067 0.0873734
981 1 0.534811 0.367827 0.0730454
448 1 0.267087 0.0066594 0.116792
312 1 0.408392 0.123953 0.115303
1455 1 0.147703 0.109554 0.119742
743 1 0.112827 0.109786 0.100286
1195 1 0.0460429 0.186745 0.123121
982 1 0.308923 0.160187 0.122014
1176 1 0.527406 0.166013 0.142025
640 1 0.304741 0.174088 0.112345
380 1 0.50556 0.192365 0.0743423
16 1 0.493681 0.179805 0.127443
510 1 0.0425638 0.209418 0.0873611
576 1 0.130548 0.219981 0.134585
1804 1 0.456182 0.322855 0.126071
1910 1 0.578199 0.320512 0.114789
1669 1 0.946324 0.312941 0.0889171
709 1 0.873933 0.326601 0.0843649
697 1 0.946644 0.321757 0.0981081
1818 1 0.791406 0.391835 0.0863452
1743 1 0.57536 0.426545 0.0809678
1056 1 0.381923 0.433275 0.136519
1625 1 0.590935 0.487525 0.126945
1774 1 0.41162 0.0473931 0.107419
1133 1 0.644484 0.0321503 0.119815
1073 1 0.88212 0.0685665 0.127343
105 1 0.022647 0.106675 0.0769772
1128 1 0.473745 0.152657 0.145268
1020 1 0.427012 0.224451 0.104703
1841 1 0.0475018 0.227976 0.126136
1257 1 0.175377 0.215456 0.12691
1589 1 0.191101 0.242342 0.122997
1254 1 0.967451 0.230522 0.0764862
1714 1 0.618519 0.24536 0.0987072
1032 1 0.885306 0.265193 0.135859
1633 1 0.0353666 0.369379 0.124761
1757 1 0.0699781 0.348612 0.135153
990 1 0.852616 0.435905 0.113614
1802 1 0.00700254 0.440657 0.153631
965 1 0.954315 0.450446 0.120683
1518 1 0.120529 0.0252592 0.153272
517 1 0.444162 0.0249024 0.130389
532 1 0.382201 0.0364324 0.128854
1234 1 0.342872 0.188735 0.136813
1157 1 0.876275 0.179321 0.125681
408 1 0.654625 0.164585 0.144688
616 1 0.944586 0.295431 0.104777
156 1 0.945695 0.295547 0.153015
1991 1 0.8941 0.39423 0.178758
1218 1 0.213375 0.377874 0.15801
1673 1 0.383794 0.422973 0.135997
1433 1 0.377754 0.457536 0.157189
604 1 0.462605 0.42288 0.128582
1843 1 0.940456 0.475589 0.171161
374 1 0.839466 0.487253 0.164566
28 1 0.634786 0.0476982 0.101152
577 1 0.446813 0.0719659 0.166922
1314 1 0.307351 0.0975179 0.183115
1028 1 0.278276 0.157196 0.151947
1418 1 0.962969 0.210431 0.174157
1724 1 0.548683 0.199655 0.136423
250 1 0.209911 0.207463 0.163088
834 1 0.356712 0.247199 0.152662
137 1 0.864028 0.220768 0.15558
854 1 0.872947 0.321541 0.128988
1580 1 0.012429 0.330366 0.165534
1778 1 0.842234 0.300044 0.141578
1961 1 0.783932 0.386499 0.144959
645 1 0.85822 0.371903 0.15566
355 1 0.945664 0.400907 0.115078
1309 1 0.12605 0.371982 0.116173
542 1 0.36171 0.452574 0.116151
1052 1 0.688591 0.457487 0.160583
1967 1 0.87027 0.471785 0.160407
440 1 0.464961 0.464994 0.176152
19 1 0.775045 0.497092 0.175027
1722 1 0.0221377 0.00873063 0.155403
1379 1 0.744356 0.471031 0.493638
1976 1 0.725517 0.0257433 0.162033
753 1 0.462407 0.00517325 0.17117
228 1 0.638923 0.0490501 0.140568
1613 1 0.690798 0.113085 0.149871
505 1 0.608232 0.161943 0.16964
1544 1 0.422816 0.151178 0.168446
1178 1 0.441272 0.209742 0.213598
1591 1 0.562478 0.159551 0.162424
1629 1 0.801894 0.153852 0.183927
648 1 0.792618 0.20337 0.140063
1377 1 0.823 0.209368 0.168718
1944 1 0.834121 0.227715 0.168485
1957 1 0.251576 0.240233 0.170496
420 1 0.690758 0.245733 0.191171
1945 1 0.420111 0.264605 0.164288
56 1 0.439897 0.275307 0.177532
1699 1 0.660945 0.309252 0.198636
352 1 0.542045 0.343943 0.183314
986 1 0.66931 0.305244 0.188618
771 1 0.621461 0.346413 0.15143
1282 1 0.00706019 0.330776 0.206685
1277 1 0.343106 0.341832 0.13808
895 1 0.0427551 0.381834 0.183194
1420 1 0.771473 0.379853 0.161228
1278 1 0.814019 0.413344 0.185151
320 1 0.862067 0.406219 0.157064
1565 1 0.924358 0.462202 0.189756
1330 1 0.283541 0.481943 0.173369
1814 1 0.313452 0.0106842 0.00565678
1265 1 0.114767 0.0309862 0.158568
1426 1 0.210334 0.0615767 0.178643
689 1 0.0676287 0.0482594 0.224808
1584 1 0.228076 0.0732518 0.181291
667 1 0.028369 0.0672377 0.175207
972 1 0.530749 0.106598 0.203525
335 1 0.702389 0.0880258 0.192405
1502 1 0.391705 0.103208 0.203113
138 1 0.387756 0.168456 0.183542
202 1 0.828809 0.17243 0.214698
304 1 0.835943 0.170238 0.205865
464 1 0.633781 0.20982 0.16798
715 1 0.0150723 0.214364 0.202566
642 1 0.304137 0.267571 0.157405
1905 1 0.981207 0.346084 0.166562
746 1 0.227386 0.419456 0.194735
1663 1 0.250704 0.427682 0.199695
637 1 0.40823 0.0226447 0.23801
802 1 0.993209 0.492304 0.331192
1483 1 0.662339 0.0159913 0.214346
2036 1 0.67698 0.0095986 0.241148
953 1 0.756899 0.0587817 0.212681
101 1 0.382706 0.0696953 0.225513
1651 1 0.801528 0.0959824 0.209257
1122 1 0.0978399 0.131563 0.211917
1033 1 0.527459 0.129213 0.237772
1698 1 0.0821334 0.175949 0.225751
418 1 0.0639426 0.216434 0.180719
622 1 0.150546 0.237853 0.200298
866 1 0.894243 0.268867 0.227228
556 1 0.871277 0.27646 0.232019
1911 1 0.577556 0.291946 0.226873
1429 1 0.680763 0.302313 0.173598
1652 1 0.34085 0.39091 0.22603
1505 1 0.0106382 0.42971 0.239739
476 1 0.277399 0.466199 0.220161
364 1 0.578146 0.427877 0.193113
1729 1 0.72671 0.479175 0.19248
797 1 0.882125 0.00524648 0.204228
443 1 0.933561 0.079919 0.209547
546 1 0.977202 0.0572684 0.209753
63 1 0.296032 0.0618585 0.185916
644 1 0.176896 0.0929868 0.240324
455 1 0.43732 0.107296 0.249612
706 1 0.669871 0.110965 0.228573
385 1 0.428248 0.183197 0.234091
555 1 0.58918 0.16442 0.218472
435 1 0.0090394 0.165423 0.21161
17 1 0.514585 0.158267 0.272183
1072 1 0.095454 0.2168 0.222414
1569 1 0.342764 0.273852 0.237829
864 1 0.556716 0.316285 0.209177
919 1 0.538624 0.285018 0.279862
1258 1 0.660934 0.298568 0.189879
997 1 0.00377135 0.292015 0.228992
1165 1 0.171574 0.352055 0.242293
1588 1 0.308871 0.319732 0.237214
1776 1 0.303603 0.326395 0.229656
284 1 0.569876 0.354577 0.255463
716 1 0.199964 0.429764 0.217966
1249 1 0.594615 0.463776 0.260053
98 1 0.550444 0.00559517 0.256024
513 1 0.732263 0.0246243 0.271488
2030 1 0.853481 0.000447168 0.251289
38 1 0.649485 0.0269311 0.243481
128 1 0.429072 0.0872772 0.265273
890 1 0.54173 0.139944 0.25838
195 1 0.0404493 0.173016 0.277573
672 1 0.938304 0.231116 0.260324
708 1 0.245069 0.229233 0.234448
780 1 0.296061 0.207322 0.26514
1411 1 0.189464 0.26339 0.235532
37 1 0.319393 0.296576 0.258562
1444 1 0.657398 0.290091 0.252744
370 1 0.789868 0.319335 0.27707
1471 1 0.100821 0.31512 0.272388
1376 1 0.190856 0.340553 0.260536
87 1 0.276844 0.388139 0.23106
757 1 0.227807 0.410006 0.268818
1416 1 0.0273283 0.453752 0.23902
154 1 0.568827 0.461308 0.296152
1789 1 0.481286 0.449708 0.269296
2005 1 0.662482 0.0280821 0.28565
1098 1 0.180704 0.110246 0.272434
1325 1 0.254797 0.106092 0.265719
1362 1 0.958186 0.164706 0.277816
795 1 0.995963 0.172398 0.265239
1636 1 0.928472 0.170309 0.276208
119 1 0.797959 0.20769 0.292244
1570 1 0.309251 0.269702 0.290918
1142 1 0.622952 0.294385 0.28967
1466 1 0.435266 0.307291 0.285333
233 1 0.578656 0.331097 0.265855
185 1 0.821956 0.383722 0.266106
656 1 0.294964 0.367356 0.255122
1355 1 0.442974 0.40121 0.28855
369 1 0.535825 0.409944 0.27628
1396 1 0.103016 0.440768 0.281604
237 1 0.303203 0.486273 0.446673
654 1 0.926536 0.0409661 0.276117
1562 1 0.20971 0.0369185 0.305714
1671 1 0.16468 0.0723091 0.271934
1413 1 0.106015 0.0939985 0.278431
1050 1 0.280222 0.12932 0.247198
1009 1 0.699604 0.125138 0.326698
1266 1 0.303278 0.182418 0.306293
837 1 0.886797 0.319873 0.293833
961 1 0.879573 0.371857 0.268601
1908 1 0.638755 0.357921 0.289123
180 1 0.0728267 0.41415 0.272169
1992 1 0.379446 0.441702 0.29769
738 1 0.363162 0.425479 0.286146
20 1 0.0931087 0.45674 0.322622
1034 1 0.944623 0.468861 0.289614
1983 1 0.466143 0.486129 0.12682
1799 1 0.131176 0.0599953 0.305569
1329 1 0.774755 0.0902933 0.30873
1457 1 0.262906 0.146299 0.30075
303 1 0.681019 0.18728 0.315245
807 1 0.607588 0.27452 0.30128
1013 1 0.503044 0.327247 0.319453
1984 1 0.613882 0.335549 0.337397
361 1 0.210853 0.421999 0.327494
1893 1 0.669307 0.423451 0.281904
939 1 0.13421 0.466726 0.294203
6 1 0.403573 0.457575 0.326227
926 1 0.814535 0.000372042 0.0896044
1899 1 0.754038 0.181077 0.313818
454 1 0.318528 0.151305 0.353519
541 1 0.698452 0.160057 0.306235
1696 1 0.194331 0.198775 0.327058
1194 1 0.0280747 0.250581 0.34306
1688 1 0.834714 0.272379 0.326651
1681 1 0.569702 0.329891 0.344497
65 1 0.616343 0.346509 0.289689
366 1 0.835239 0.339063 0.331365
1968 1 0.940143 0.368842 0.326771
867 1 0.106633 0.415139 0.319215
111 1 0.658691 0.392603 0.349418
136 1 0.717293 0.415837 0.338789
522 1 0.222591 0.455729 0.326296
966 1 0.658301 0.0151681 0.048888
609 1 0.554566 0.0513675 0.353909
261 1 0.878609 0.0277377 0.363706
2032 1 0.172345 0.0328893 0.338054
172 1 0.302748 0.0419785 0.332633
819 1 0.84826 0.0872327 0.369854
1954 1 0.864693 0.0969894 0.33533
1067 1 0.950002 0.137871 0.321629
1363 1 0.590522 0.119813 0.362475
407 1 0.419119 0.176569 0.356472
549 1 0.957837 0.187712 0.363346
625 1 0.285247 0.328825 0.327604
174 1 0.119238 0.392271 0.335452
181 1 0.656779 0.380294 0.376539
1051 1 0.510735 0.40531 0.349461
782 1 0.718998 0.402243 0.331157
1933 1 0.201307 0.498473 0.355215
653 1 0.211963 0.0179482 0.360767
896 1 0.872893 0.214554 0.00984737
1741 1 0.502977 0.00466826 0.0230473
1622 1 0.192289 0.0240806 0.359762
1955 1 0.479859 0.0678173 0.346159
2009 1 0.876085 0.0365636 0.356574
1830 1 0.0566649 0.0876587 0.373445
2017 1 0.794987 0.0704374 0.387564
1672 1 0.438817 0.0860509 0.320012
410 1 0.735542 0.0789818 0.349215
1236 1 0.41219 0.140913 0.38847
636 1 0.543513 0.132866 0.367768
1206 1 0.959459 0.155198 0.373236
673 1 0.998899 0.212692 0.34877
1000 1 0.186242 0.202708 0.33788
1045 1 0.722236 0.259696 0.330823
1273 1 0.364326 0.279701 0.351508
1621 1 0.792847 0.265422 0.332297
94 1 0.392218 0.279371 0.371465
489 1 0.433892 0.279404 0.360304
1530 1 0.527862 0.256302 0.380145
122 1 0.670968 0.320306 0.374274
215 1 0.0867463 0.37101 0.361591
722 1 0.905614 0.362414 0.36262
1010 1 0.0156633 0.411688 0.348813
1925 1 0.0873797 0.388133 0.381138
1040 1 0.700169 0.071232 0.499325
1348 1 0.196871 0.459386 0.352694
1855 1 0.923908 0.0104796 0.434528
1004 1 0.414905 0.120891 0.377705
1491 1 0.343828 0.139401 0.387298
544 1 0.302557 0.1597 0.398268
244 1 0.942265 0.197297 0.370002
1806 1 0.913763 0.3011 0.384274
825 1 0.104384 0.322979 0.368976
660 1 0.0878618 0.34967 0.380014
745 1 0.735798 0.376739 0.394901
68 1 0.27583 0.453076 0.383076
1890 1 0.303304 0.414102 0.386071
847 1 0.565542 0.48347 0.362624
1557 1 0.614467 0.489996 0.395635
942 1 0.62537 0.0345138 0.388132
1554 1 0.141251 0.0691021 0.392622
918 1 0.779391 0.00965231 0.392857
995 1 0.0129345 0.0586691 0.377755
308 1 0.101767 0.0545408 0.357779
114 1 0.460099 0.0522983 0.398376
446 1 0.105762 0.0821211 0.409365
1686 1 0.960721 0.153338 0.417712
1952 1 0.201176 0.173863 0.412696
1863 1 0.640715 0.201376 0.391851
22 1 0.744114 0.247497 0.416752
387 1 0.510498 0.274233 0.409183
217 1 0.856032 0.303167 0.393494
882 1 0.698879 0.286464 0.413131
1760 1 0.314763 0.325681 0.408651
1301 1 0.604101 0.321031 0.388207
1172 1 0.547834 0.335502 0.3944
710 1 0.456292 0.402726 0.396511
438 1 0.295847 0.40487 0.378554
1365 1 0.541835 0.434118 0.405
2024 1 0.624512 0.409546 0.387613
1654 1 0.00585065 0.399933 0.367764
701 1 0.675564 0.441127 0.388055
828 1 0.207219 0.470389 0.400221
1436 1 0.495508 0.0494935 0.422875
1 1 0.0457733 0.0762051 0.435331
1242 1 0.29171 0.0943338 0.438832
1474 1 0.179458 0.105012 0.396127
1782 1 0.582304 0.120354 0.417594
1219 1 0.757346 0.128566 0.417089
33 1 0.0538394 0.194088 0.407335
5 1 0.937242 0.186376 0.409957
700 1 0.67371 0.224294 0.394165
1656 1 0.112209 0.231887 0.438367
682 1 0.300165 0.27449 0.383964
1228 1 0.101771 0.32201 0.404254
550 1 0.597205 0.324671 0.376377
48 1 0.215379 0.293609 0.444013
880 1 0.125605 0.335168 0.396018
300 1 0.519763 0.351815 0.436503
849 1 0.753536 0.38943 0.394016
1171 1 0.367388 0.424994 0.407027
1465 1 0.545329 0.463613 0.440639
1415 1 0.913461 0.443102 0.444343
1080 1 0.876757 0.457116 0.425109
629 1 0.0810427 0.00584169 0.284528
674 1 0.290728 0.0933456 0.417899
812 1 0.54661 0.101537 0.468223
492 1 0.0569462 0.153346 0.446061
1538 1 0.276589 0.163348 0.445472
1075 1 0.573728 0.172068 0.445288
1187 1 0.424702 0.21647 0.40519
1708 1 0.440438 0.188511 0.43228
1501 1 0.646628 0.197789 0.406572
1614 1 0.351999 0.229803 0.396737
1154 1 0.293254 0.351287 0.449593
316 1 0.837034 0.367799 0.436466
330 1 0.201534 0.414943 0.44881
614 1 0.494305 0.390163 0.413052
1675 1 0.00597982 0.459526 0.438824
564 1 0.943426 0.0248631 0.454174
1328 1 0.547947 0.0627052 0.435911
1140 1 0.477706 0.0720631 0.419992
1953 1 0.322746 0.0724696 0.43355
177 1 0.536687 0.111322 0.476443
1721 1 0.688992 0.0888214 0.431471
273 1 0.131535 0.140126 0.457751
1422 1 0.667211 0.122359 0.449574
382 1 0.230204 0.206121 0.487622
1540 1 0.444946 0.197226 0.441737
574 1 0.670309 0.192383 0.468292
543 1 0.877795 0.197544 0.459782
187 1 0.155302 0.216212 0.446815
1215 1 0.755716 0.263496 0.471289
1343 1 0.897889 0.230699 0.462429
647 1 0.648039 0.297132 0.490566
379 1 0.597188 0.304381 0.423478
601 1 0.589919 0.336867 0.426201
1506 1 0.565633 0.307306 0.469485
1280 1 0.574187 0.411681 0.445232
794 1 0.17815 0.467073 0.472301
1340 1 0.546326 0.436204 0.439897
1141 1 0.00370328 0.44254 0.485551
394 1 0.869535 0.432011 0.469331
2047 1 0.156125 0.0396637 0.468738
367 1 0.273744 0.358441 0.0178112
263 1 0.772141 0.0690898 0.469914
999 1 0.271192 0.167735 0.453121
1134 1 0.313762 0.0987148 0.462453
1978 1 0.137233 0.191814 0.471515
45 1 0.147873 0.273563 0.499871
1536 1 0.0979948 0.476345 0.476669
663 1 0.772019 0.439718 0.483939
1777 1 0.927283 0.4264 0.487575
1829 1 0.877075 0.491958 0.463211
502 1 0.561415 0.491705 0.1667
1473 1 0.0986506 0.0841046 0.44862
1977 1 0.837942 0.0836069 0.476615
1628 1 0.697467 0.422194 0.478307
1472 1 0.436161 0.126899 0.493141
1746 1 0.770424 0.16277 0.491598
602 1 0.206898 0.230774 0.488392
421 1 0.417551 0.0269083 0.369518
1551 1 0.607272 0.276171 0.483277
1485 1 0.99798 0.47089 0.485885
1275 1 0.356693 0.276338 0.495418
1996 1 0.117074 0.262167 0.0133785
279 1 0.368185 0.356707 0.484121
2010 1 0.764806 0.373706 0.476084
186 1 0.571036 0.292158 0.0226558
1323 1 0.112332 0.0501302 0.523689
748 1 0.65387 0.0571156 0.533058
635 1 0.246632 0.00540832 0.979128
1608 1 0.598216 0.0101001 0.502721
262 1 0.8251 0.139934 0.517734
1480 1 0.167659 0.179088 0.532709
1500 1 0.138848 0.166852 0.526175
881 1 0.947778 0.180899 0.505075
1106 1 0.0514909 0.242849 0.508311
1173 1 0.721777 0.216513 0.515166
1661 1 0.67907 0.250117 0.512647
1241 1 0.446284 0.310995 0.520439
18 1 0.561415 0.310203 0.514132
786 1 0.831788 0.299177 0.508741
639 1 0.128524 0.350202 0.513847
7 1 0.460276 0.476633 0.53529
1006 1 0.383657 0.397413 0.501954
1951 1 0.16148 0.0440971 0.525654
649 1 0.122315 0.0289169 0.526022
24 1 0.543059 0.0518306 0.506306
1888 1 0.385579 0.089231 0.571028
607 1 0.00446794 0.0959225 0.528737
620 1 0.109688 0.0952344 0.513314
1404 1 0.853502 0.108336 0.526084
857 1 0.880849 0.0957938 0.51589
388 1 0.409675 0.173822 0.542185
1771 1 0.665965 0.309761 0.524991
459 1 0.112741 0.326132 0.539681
1097 1 0.498059 0.379867 0.556486
260 1 0.137823 0.433959 0.535232
1512 1 0.586634 0.395229 0.52674
566 1 0.515803 0.433791 0.517108
1767 1 0.908045 0.00699702 0.735354
1479 1 0.399187 0.43934 0.511369
661 1 0.859204 0.487127 0.528556
1783 1 0.995224 0.493486 0.534058
781 1 0.50113 0.0627169 0.545366
915 1 0.824594 0.0925896 0.513438
1026 1 0.0915735 0.156807 0.546833
1496 1 0.551252 0.156687 0.515406
655 1 0.83058 0.178313 0.548927
1935 1 0.257591 0.227115 0.531101
1845 1 0.300994 0.257971 0.551637
2013 1 0.679118 0.293609 0.571557
1427 1 0.199091 0.324073 0.552723
561 1 0.531416 0.332471 0.56495
1174 1 0.316647 0.443151 0.557677
234 1 0.557328 0.451458 0.539189
547 1 0.0599629 0.493122 0.530619
646 1 0.809125 0.492552 0.555919
1260 1 0.611764 0.0247201 0.581143
534 1 0.649262 0.0385038 0.559436
12 1 0.0181552 0.127628 0.580447
204 1 0.760133 0.149545 0.552907
1849 1 0.556447 0.142435 0.569357
2011 1 0.0149224 0.171467 0.581026
1403 1 0.530691 0.199543 0.548704
221 1 0.0428378 0.240184 0.5485
633 1 0.304113 0.286966 0.543524
873 1 0.957106 0.27167 0.543198
787 1 0.270948 0.383873 0.517871
194 1 0.467171 0.350448 0.565916
429 1 0.645762 0.336445 0.540877
1665 1 0.00919319 0.441366 0.568697
558 1 0.903739 0.480497 0.581483
1635 1 0.92981 0.468516 0.579361
458 1 0.639226 0.0212404 0.594482
77 1 0.575491 0.0985368 0.563452
306 1 0.149403 0.146423 0.564935
1508 1 0.854927 0.160472 0.588249
1096 1 0.253816 0.251368 0.607198
1563 1 0.838803 0.244654 0.567809
1744 1 0.523711 0.236948 0.618487
657 1 0.195679 0.301777 0.592705
1918 1 0.643617 0.329121 0.604886
1788 1 0.490554 0.392135 0.559319
1261 1 0.34978 0.441517 0.559229
1583 1 0.24912 0.458143 0.566746
1754 1 0.566716 0.448745 0.581228
1599 1 0.362339 0.0292922 0.635261
1657 1 0.928305 0.0142852 0.608019
486 1 0.436937 0.122538 0.614987
362 1 0.144098 0.198969 0.60236
1643 1 0.862677 0.196263 0.604673
752 1 0.61633 0.261059 0.629298
66 1 0.237078 0.276142 0.597506
106 1 0.800843 0.297113 0.573953
885 1 0.225833 0.382221 0.565388
1616 1 0.517336 0.407233 0.619761
1374 1 0.62494 0.460813 0.608161
565 1 0.508361 0.0329147 0.636289
239 1 0.537945 0.0179961 0.637733
894 1 0.170855 0.0744712 0.59683
759 1 0.265433 0.039378 0.616195
1689 1 0.359623 0.0857285 0.625122
1878 1 0.437343 0.0981777 0.636429
62 1 0.522872 0.0943899 0.602566
879 1 0.291421 0.216677 0.605921
789 1 0.791535 0.191295 0.612449
1634 1 0.0896381 0.263442 0.5897
1784 1 0.392215 0.271368 0.627288
321 1 0.678601 0.292008 0.600696
1678 1 0.0547661 0.339243 0.618389
1281 1 0.205312 0.336963 0.615247
821 1 0.590599 0.370968 0.610098
163 1 0.283483 0.411115 0.622488
460 1 0.749846 0.414553 0.624489
843 1 0.402602 0.46591 0.606197
1368 1 0.668181 0.0593783 0.63555
1956 1 0.0224771 0.112211 0.622149
911 1 0.0626034 0.141212 0.610066
1572 1 0.701826 0.146197 0.634083
419 1 0.235727 0.123399 0.637816
148 1 0.903804 0.151046 0.643147
295 1 0.688319 0.190597 0.605522
580 1 0.274265 0.219076 0.640803
365 1 0.471351 0.222186 0.638449
1424 1 0.0673602 0.236429 0.623388
1322 1 0.226468 0.305927 0.624741
761 1 0.185949 0.288825 0.64513
390 1 0.880633 0.304329 0.612224
669 1 0.242043 0.312573 0.617252
1446 1 0.686467 0.347138 0.645904
688 1 0.294178 0.395104 0.673312
441 1 0.339478 0.393567 0.633718
1384 1 0.0457686 0.470022 0.628805
1311 1 0.857948 0.472335 0.647622
109 1 0.151165 0.490375 0.523564
1913 1 0.657919 0.0674333 0.51791
1819 1 0.817156 0.0549136 0.647806
358 1 0.120957 0.0604376 0.668843
354 1 0.560844 0.0475057 0.696179
1383 1 0.696374 0.0734135 0.671497
1736 1 0.87516 0.0479276 0.627722
1833 1 0.670532 0.139341 0.646517
412 1 0.985905 0.176477 0.678757
1835 1 0.619425 0.186413 0.663455
224 1 0.142437 0.18948 0.627219
1884 1 0.917339 0.233461 0.686106
1711 1 0.944272 0.252588 0.659189
588 1 0.221194 0.264961 0.692592
463 1 0.931759 0.320301 0.652348
1638 1 0.223933 0.302587 0.681614
980 1 0.824335 0.39269 0.647068
836 1 0.593275 0.356935 0.674209
968 1 0.248174 0.411747 0.649195
2006 1 0.663116 0.398935 0.654236
1450 1 0.034559 0.415577 0.667606
863 1 0.821815 0.478086 0.659642
1025 1 0.770394 0.458125 0.654297
1409 1 0.874968 0.447517 0.981057
469 1 0.253039 0.0389631 0.683776
579 1 0.173259 0.0579588 0.651809
1922 1 0.548561 0.117298 0.671575
146 1 0.99006 0.103967 0.668299
1285 1 0.748786 0.146101 0.702215
1763 1 0.848457 0.151457 0.673503
1528 1 0.576464 0.144363 0.658627
1720 1 0.500631 0.2197 0.663895
78 1 0.730775 0.203379 0.669345
188 1 0.890921 0.222971 0.662674
49 1 0.919212 0.204026 0.685714
340 1 0.608476 0.310008 0.675636
326 1 0.0316727 0.231 0.666685
339 1 0.128129 0.275266 0.660192
29 1 0.55539 0.312087 0.68242
255 1 0.93821 0.344401 0.6823
969 1 0.520502 0.393834 0.674632
1251 1 0.731409 0.391344 0.688201
705 1 0.0227438 0.43341 0.674532
1823 1 0.0736916 0.414458 0.662434
1303 1 0.638256 0.462593 0.667557
1339 1 0.293285 0.011249 0.728666
253 1 0.232166 0.146529 0.679381
1764 1 0.702375 0.12423 0.678391
723 1 0.734542 0.175327 0.684127
1221 1 0.308235 0.202839 0.703358
267 1 0.728065 0.26275 0.68312
1730 1 0.62286 0.306854 0.719821
1510 1 0.06899 0.31589 0.668289
1640 1 0.267909 0.322933 0.684041
1224 1 0.888226 0.344683 0.745975
1717 1 0.34298 0.356337 0.706989
149 1 0.625608 0.37326 0.699921
297 1 0.362835 0.445495 0.704653
872 1 0.0217991 0.429405 0.651035
1412 1 0.853687 0.402957 0.714234
1393 1 0.261345 0.0129221 0.721224
1810 1 0.269393 0.0368638 0.712109
2004 1 0.649783 0.0959132 0.727579
886 1 0.854208 0.145053 0.714313
788 1 0.479079 0.224852 0.712379
1949 1 0.339458 0.249828 0.71337
1880 1 0.65363 0.263564 0.711967
1421 1 0.372679 0.324288 0.723767
573 1 0.430608 0.357258 0.737678
1302 1 0.0814049 0.347713 0.719883
359 1 0.185917 0.374881 0.70198
1082 1 0.836646 0.363521 0.732025
1751 1 0.774295 0.38546 0.740916
499 1 0.332204 0.421572 0.707436
2002 1 0.0407077 0.465595 0.680372
869 1 0.592754 0.477643 0.734266
1981 1 0.248 0.223016 0.999045
240 1 0.36805 0.0965529 0.756412
1163 1 0.993933 0.127177 0.7443
1432 1 0.643315 0.142003 0.738528
411 1 0.574706 0.152226 0.696867
1055 1 0.286709 0.247593 0.744323
594 1 0.0129027 0.203921 0.760378
979 1 0.818802 0.24658 0.7279
275 1 0.954075 0.260191 0.683225
704 1 0.167315 0.260143 0.736609
118 1 0.912805 0.257723 0.738798
43 1 0.200955 0.302677 0.710157
1148 1 0.374636 0.285553 0.745382
963 1 0.663485 0.375975 0.706095
173 1 0.910978 0.385554 0.7302
1139 1 0.472204 0.474489 0.734022
1336 1 0.843103 0.493695 0.716118
726 1 0.3331 0.0307829 0.744198
21 1 0.269369 0.0185537 0.740986
231 1 0.768526 0.0441267 0.764303
1658 1 0.756839 0.0717537 0.741637
1664 1 0.952133 0.0462846 0.731212
1121 1 0.00390479 0.0605509 0.759217
1136 1 0.220213 0.0989645 0.79984
1552 1 0.440585 0.1818 0.720348
1834 1 0.429565 0.328488 0.755218
858 1 0.4474 0.314104 0.775767
1212 1 0.244435 0.341581 0.771667
1338 1 0.975704 0.301737 0.774995
96 1 0.00542608 0.455576 0.748868
480 1 0.192201 0.00422673 0.795316
1160 1 0.550847 0.447369 0.76635
2033 1 0.555815 0.439739 0.760814
1245 1 0.48016 0.0503302 0.983214
1891 1 0.223831 0.467864 0.732512
1566 1 0.815166 0.419396 0.982412
1233 1 0.947315 0.0414699 0.75868
1367 1 0.287586 0.0680924 0.761569
670 1 0.274916 0.0513105 0.739884
714 1 0.419822 0.0268397 0.758168
1019 1 0.854436 0.0810497 0.769429
779 1 0.957763 0.19853 0.800881
1049 1 0.446397 0.260205 0.766222
766 1 0.991673 0.288745 0.784079
481 1 0.398518 0.302194 0.770061
845 1 0.487363 0.291306 0.763956
424 1 0.400443 0.287201 0.778177
1452 1 0.282928 0.346812 0.790643
1615 1 0.31873 0.341666 0.749373
605 1 0.639117 0.358008 0.768084
257 1 0.603505 0.395432 0.774526
64 1 0.279389 0.419719 0.76663
199 1 0.19012 0.432786 0.775875
1253 1 0.259631 0.448863 0.785161
686 1 0.836917 0.431682 0.754606
1858 1 0.0149577 0.11636 0.81365
615 1 0.59815 0.0737007 0.792098
2035 1 0.132931 0.105802 0.804828
696 1 0.295545 0.110104 0.790974
2027 1 0.0734301 0.173108 0.818154
680 1 0.564034 0.125875 0.802124
865 1 0.607313 0.17749 0.770451
428 1 0.747422 0.189578 0.784903
150 1 0.831978 0.245497 0.803841
1705 1 0.241479 0.277483 0.783413
1691 1 0.33852 0.257738 0.778544
1138 1 0.290672 0.313126 0.787751
1773 1 0.416871 0.338492 0.780064
349 1 0.727895 0.326995 0.801449
329 1 0.588162 0.383587 0.783607
97 1 0.325765 0.418716 0.792798
141 1 0.233627 0.423359 0.790151
1620 1 0.943499 0.48391 0.506512
929 1 0.374995 0.479596 0.761503
1092 1 0.66185 0.498013 0.754937
816 1 0.679503 0.00980527 0.800968
437 1 0.205895 0.0536271 0.840441
1883 1 0.535314 0.0393246 0.795279
1463 1 0.951486 0.0156224 0.827473
3 1 0.256249 0.0312585 0.769144
1223 1 0.573591 0.087223 0.800596
327 1 0.650161 0.0905974 0.839868
1095 1 0.550366 0.114073 0.805897
1960 1 0.110266 0.132911 0.801538
1360 1 0.557273 0.131527 0.813948
307 1 0.86642 0.116471 0.810732
2012 1 0.67034 0.129088 0.782026
1489 1 0.830731 0.161947 0.786436
1462 1 0.676328 0.208179 0.806924
193 1 0.0499336 0.286801 0.815514
218 1 0.966777 0.26957 0.805478
1087 1 0.959745 0.286118 0.786776
876 1 0.360247 0.341387 0.853649
650 1 0.591373 0.436498 0.81207
1394 1 0.572127 0.443436 0.805537
1053 1 0.183883 0.493703 0.794017
524 1 0.49126 0.0459675 0.997879
998 1 0.344756 0.0306002 0.811942
404 1 0.821732 0.0809799 0.817044
1381 1 0.882913 0.0959613 0.848503
1543 1 0.251151 0.135103 0.807091
1298 1 0.496645 0.143893 0.810858
826 1 0.554328 0.160653 0.809863
734 1 0.677797 0.253539 0.82599
1820 1 0.255997 0.242532 0.841205
1297 1 0.873668 0.315605 0.809345
993 1 0.95007 0.364063 0.828136
1078 1 0.738228 0.381418 0.803936
1090 1 0.294889 0.490082 0.827247
1932 1 0.700367 0.00621194 0.830197
1755 1 0.775476 0.0226848 0.807384
1423 1 0.768699 0.141782 0.846938
219 1 0.696845 0.162633 0.840767
1842 1 0.124044 0.208688 0.880833
184 1 0.98183 0.188684 0.855389
1315 1 0.52413 0.221592 0.845192
571 1 0.876097 0.275369 0.824427
875 1 0.553969 0.34519 0.844093
1318 1 0.88205 0.295 0.840384
1262 1 0.280933 0.346179 0.812998
1974 1 0.23884 0.344541 0.861464
1012 1 0.877314 0.372038 0.835569
850 1 0.691711 0.389197 0.846392
2023 1 0.479926 0.404113 0.843562
1091 1 0.310596 0.454853 0.835551
1190 1 0.478281 0.484199 0.836518
491 1 0.0730799 0.0310585 0.876796
774 1 0.151323 0.0101372 0.858387
978 1 0.525656 0.015373 0.815672
1761 1 0.232922 0.0432094 0.852666
1124 1 0.738144 0.00545268 0.865446
1601 1 0.183463 0.0259814 0.853699
2016 1 0.191432 0.0662542 0.859279
1494 1 0.356177 0.132581 0.877798
917 1 0.17675 0.169395 0.876041
1759 1 0.121029 0.263384 0.856092
955 1 0.545359 0.274356 0.844183
536 1 0.571867 0.303415 0.879317
740 1 0.0649457 0.360618 0.860323
1320 1 0.0921803 0.399557 0.844685
1149 1 0.749817 0.414035 0.866247
1021 1 0.88482 0.415117 0.838734
921 1 0.171388 0.452463 0.871215
1264 1 0.28798 0.0224804 0.866767
1470 1 0.230123 0.178088 0.890078
1795 1 0.602877 0.188854 0.896915
1573 1 0.633853 0.243539 0.904436
147 1 0.781898 0.268237 0.889694
1126 1 0.98758 0.254673 0.874707
391 1 0.11929 0.301559 0.879876
1292 1 0.393957 0.299606 0.890393
1904 1 0.443444 0.267682 0.864203
338 1 0.436203 0.407883 0.872515
268 1 0.559772 0.356686 0.87298
600 1 0.952382 0.393209 0.892945
254 1 0.100149 0.485146 0.977097
1085 1 0.905126 0.0627885 0.918416
1220 1 0.233338 0.0491877 0.914094
1959 1 0.259304 0.0749763 0.904682
462 1 0.4594 0.0859112 0.87241
1364 1 0.853053 0.130252 0.875537
519 1 0.940428 0.137759 0.918004
1295 1 0.530034 0.156294 0.898118
1844 1 0.927326 0.173092 0.918461
957 1 0.971235 0.194106 0.894789
853 1 0.666709 0.246343 0.924636
731 1 0.977685 0.239255 0.883613
1692 1 0.103477 0.31041 0.861454
992 1 0.895139 0.323394 0.887255
281 1 0.219973 0.298599 0.910745
936 1 0.920618 0.379792 0.894006
1598 1 0.969579 0.376816 0.885461
85 1 0.70807 0.411017 0.893842
662 1 0.929846 0.466813 0.904813
713 1 0.945845 0.491438 0.817092
2031 1 0.686208 0.482079 0.96824
1286 1 0.484696 0.0577073 0.897118
699 1 0.359856 0.12889 0.939847
603 1 0.585056 0.160937 0.913626
1969 1 0.0103485 0.183065 0.902711
1217 1 0.668004 0.158726 0.937526
229 1 0.116041 0.198089 0.90325
1742 1 0.243012 0.226543 0.92338
46 1 0.285948 0.229492 0.976505
1070 1 0.394101 0.25488 0.901139
246 1 0.94159 0.292883 0.920203
1889 1 0.904527 0.278785 0.933823
1114 1 0.621829 0.349742 0.909408
1618 1 0.680795 0.346287 0.908336
1439 1 0.274294 0.433736 0.918217
166 1 0.96122 0.375244 0.898191
470 1 0.109294 0.485532 0.905521
1016 1 0.0155333 0.459282 0.912751
436 1 0.110225 0.488562 0.871282
1865 1 0.310681 0.494142 0.912147
703 1 0.645026 0.472569 0.925983
70 1 0.493295 0.497867 0.619531
319 1 0.824452 0.051166 0.950128
1641 1 0.681745 0.0329605 0.917946
553 1 0.973025 0.0871164 0.956961
472 1 0.294686 0.161585 0.94683
1895 1 0.590165 0.172331 0.961269
1642 1 0.289748 0.240876 0.942033
717 1 0.379181 0.244391 0.958426
1291 1 0.23457 0.369061 0.918424
1885 1 0.624546 0.378807 0.940552
1024 1 0.728385 0.360152 0.948436
1901 1 0.945519 0.394389 0.971624
117 1 0.344107 0.428465 0.913966
494 1 0.0663062 0.455272 0.916677
1740 1 0.653843 0.446061 0.933936
1490 1 0.208672 0.464755 0.944494
859 1 0.284646 0.500007 0.91468
1701 1 0.246042 0.0149226 0.938675
908 1 0.855196 0.0220072 0.943924
487 1 0.838666 0.0925796 0.955385
4 1 0.0936244 0.134208 0.952516
124 1 0.698662 0.150792 0.952676
82 1 0.483366 0.202077 0.944689
1064 1 0.593529 0.138835 0.945751
1317 1 0.476692 0.192176 0.936576
1522 1 0.152763 0.255325 0.926204
684 1 0.210419 0.261779 0.970247
1914 1 0.880294 0.269452 0.951596
1785 1 0.500055 0.267578 0.907911
1874 1 0.838304 0.333872 0.936202
384 1 0.55701 0.34853 0.936882
1371 1 0.40824 0.427634 0.97542
971 1 0.327961 0.479755 0.950372
496 1 0.0409352 0.0465146 0.980317
791 1 0.989859 0.0488645 0.982915
1555 1 0.180978 0.0934252 0.979964
900 1 0.695426 0.113531 0.959264
1839 1 0.820646 0.124678 0.954719
1931 1 0.890073 0.183531 0.972225
1108 1 0.952424 0.236328 0.97246
161 1 0.107959 0.282882 0.96234
844 1 0.65654 0.268685 0.966061
934 1 0.650346 0.336144 0.99386
1525 1 0.766182 0.356523 0.955021
346 1 0.445342 0.441742 0.980467
529 1 0.205023 0.495363 0.707887
954 1 0.251958 0.00770358 0.80828
1079 1 0.29321 0.448739 0.986373
1875 1 0.835566 0.0304387 0.971472
835 1 0.227767 0.0649599 0.992355
1405 1 0.695633 0.485998 0.847506
1399 1 0.0302261 0.0798107 0.984026
830 1 0.368379 0.0943774 0.975727
1851 1 0.28573 0.0993941 0.989159
1923 1 0.73855 0.0951633 0.983366
1612 1 0.285176 0.14323 0.968129
2026 1 0.784182 0.145717 0.991944
1084 1 0.191028 0.264957 0.510467
1928 1 0.232465 0.237955 0.978378
1909 1 0.984561 0.39014 0.995708
1930 1 0.907257 0.0116616 0.885283
1577 1 0.99257 0.339531 0.510736
1440 1 0.712748 0.262748 0.97388
1321 1 0.653713 0.352743 0.980792
611 1 0.198491 0.386718 0.993268
1201 1 0.189213 0.275193 0.509279
922 1 0.0371261 0.471403 0.516504
1827 1 0.105329 0.362908 0.537782
298 1 0.0834476 0.0685496 0.973244
1015 1 0.17474 0.0653184 0.99539
539 1 0.289268 0.032308 0.52179
2 1 0.252434 0.474289 0.857673
1781 1 0.872259 0.458888 0.988279
1973 1 0.0710963 0.00584345 0.744493
269 1 0.45866 0.49795 0.971506
386 1 0.835627 0.323279 0.998904
1331 1 0.886162 0.00466014 0.605674
55 1 0.303583 0.0972765 0.999614
1532 1 0.609829 0.499641 0.585099
351 1 0.070664 0.54552 0.481671
1650 1 0.795196 0.543565 0.00311644
133 1 0.930897 0.595236 0.0248411
1779 1 0.510887 0.60283 0.0381341
868 1 0.708759 0.634424 0.0206156
1431 1 0.795797 0.649764 0.00690967
1982 1 0.418035 0.66896 1.14359e-05
515 1 0.897979 0.697518 0.00185973
947 1 0.803206 0.716863 0.00782476
1127 1 0.297035 0.823936 0.000767058
1531 1 0.944216 0.512894 0.280211
1001 1 0.186895 0.722438 0.00287541
1229 1 0.442563 0.848578 0.0157844
1571 1 0.0170215 0.989784 0.35356
1395 1 0.426448 0.979595 0.45483
36 1 0.0473562 0.513664 0.0168722
1299 1 0.570026 0.641143 0.036697
1159 1 0.779078 0.60485 0.0018953
392 1 0.533724 0.62057 0.00371211
832 1 0.587487 0.692474 0.0352865
79 1 0.659678 0.686303 0.0492688
810 1 0.830185 0.690798 0.0481667
1445 1 0.0261196 0.688642 0.0387649
401 1 0.910601 0.736096 0.0395269
1917 1 0.811565 0.750616 0.0213498
778 1 0.118665 0.784935 0.00528766
1547 1 0.320172 0.792053 0.0190295
1235 1 0.798505 0.872128 0.0677414
1151 1 0.737728 0.850639 0.0502541
26 1 0.296299 0.957003 0.0349159
520 1 0.45564 0.931326 0.0253541
651 1 0.768089 0.894304 0.0295861
855 1 0.135041 0.919661 0.0335843
960 1 0.0678214 0.567245 0.0537475
1752 1 0.736988 0.559559 0.0392752
74 1 0.0379143 0.606755 0.0537168
75 1 0.620717 0.634916 0.0680333
1143 1 0.761113 0.640613 0.050323
1649 1 0.312677 0.689198 0.0699834
1519 1 0.0588352 0.757677 0.0590706
949 1 0.158827 0.748877 0.0469476
171 1 0.575982 0.501729 0.322103
623 1 0.792605 0.894985 0.0708213
772 1 0.076368 0.94205 0.0384745
1022 1 0.527826 0.887915 0.0393918
818 1 0.147617 0.972813 0.0450884
1248 1 0.0648145 0.504374 0.361571
1153 1 0.591524 0.67332 0.484407
694 1 0.874462 0.560028 0.0682579
170 1 0.735121 0.600199 0.060459
1476 1 0.727206 0.623255 0.0900812
1856 1 0.806141 0.578181 0.0407036
2042 1 0.902678 0.617341 0.0729459
57 1 0.129651 0.683261 0.108387
1852 1 0.491535 0.685791 0.0677806
2040 1 0.0931653 0.706115 0.032594
1308 1 0.133187 0.759937 0.0281871
402 1 0.458134 0.782804 0.0542196
81 1 0.484707 0.747488 0.085742
1738 1 0.731833 0.798248 0.0660256
447 1 0.661741 0.791934 0.0646498
1796 1 0.132141 0.876856 0.0700067
1410 1 0.556486 0.854563 0.0737174
987 1 0.675758 0.890446 0.0686454
1168 1 0.255684 0.835761 0.0583707
1023 1 0.398347 0.919064 0.0283319
145 1 0.699752 0.525727 0.103368
265 1 0.397729 0.550155 0.0775654
1881 1 0.832217 0.573335 0.0369484
1609 1 0.867548 0.677784 0.0711661
108 1 0.855825 0.64093 0.104463
50 1 0.578899 0.72314 0.0475182
1213 1 0.60867 0.779863 0.0865442
765 1 0.616423 0.776135 0.0746215
1497 1 0.804581 0.792689 0.0935108
1756 1 0.407536 0.799246 0.100599
1304 1 0.00452424 0.83153 0.0686304
372 1 0.0172594 0.855051 0.0661649
1924 1 0.359267 0.816736 0.107647
512 1 0.0642614 0.8909 0.0757343
1482 1 0.80519 0.888437 0.0702982
1385 1 0.347819 0.924059 0.0652075
1712 1 0.8911 0.934697 0.0876665
932 1 0.231153 0.962447 0.0421381
1184 1 0.650754 0.964312 0.108621
88 1 0.694153 0.962553 0.102844
525 1 0.781883 0.964294 0.115766
988 1 0.342514 0.979832 0.0766142
1101 1 0.0887842 0.510002 0.496804
612 1 0.13324 0.528121 0.126663
1398 1 0.71775 0.525963 0.115553
1840 1 0.990092 0.519485 0.085895
899 1 0.799778 0.538457 0.0937061
211 1 0.914451 0.596885 0.102133
1469 1 0.147595 0.63534 0.0630677
1800 1 0.742265 0.615678 0.124343
1791 1 0.142846 0.700343 0.0954764
115 1 0.53753 0.713307 0.122852
214 1 0.96531 0.727157 0.107858
1232 1 0.499422 0.788901 0.0933221
143 1 0.970167 0.794251 0.113279
1058 1 0.997871 0.832308 0.127307
729 1 0.28372 0.823434 0.106342
490 1 0.699008 0.879789 0.103607
557 1 0.201517 0.960706 0.0923756
1146 1 0.918376 0.946205 0.131124
1887 1 0.824167 0.672143 0.00392323
27 1 0.952883 0.589063 0.145127
1227 1 0.846094 0.654458 0.0896791
1183 1 0.934667 0.653358 0.128621
52 1 0.957755 0.654163 0.148342
1359 1 0.243522 0.756183 0.119256
309 1 0.351042 0.82544 0.133735
1105 1 0.78425 0.861048 0.133928
1853 1 0.373583 0.928554 0.12781
59 1 0.548125 0.988458 0.109197
1894 1 0.303151 0.562756 0.116507
681 1 0.0232192 0.608735 0.0978039
1553 1 0.0928666 0.652283 0.182602
950 1 0.701868 0.679026 0.164171
552 1 0.851453 0.657015 0.125446
456 1 0.17162 0.719016 0.158671
270 1 0.238254 0.736189 0.134564
928 1 0.393732 0.73461 0.165231
1406 1 0.594556 0.746127 0.157774
725 1 0.991128 0.774704 0.125356
467 1 0.709926 0.843043 0.114319
984 1 0.120181 0.852258 0.138107
991 1 0.960363 0.887659 0.140089
107 1 0.671314 0.509173 0.164838
416 1 0.235333 0.545691 0.172055
1460 1 0.329875 0.579405 0.130543
1727 1 0.374781 0.572714 0.140195
665 1 0.740565 0.56459 0.132689
1003 1 0.958493 0.587923 0.13541
1854 1 0.934995 0.659287 0.143728
1920 1 0.311588 0.662412 0.163739
383 1 0.615257 0.684117 0.163317
363 1 0.602174 0.676854 0.136343
100 1 0.465671 0.78314 0.190756
1428 1 0.323396 0.770051 0.126667
619 1 0.589501 0.810902 0.201249
1356 1 0.967295 0.877293 0.166536
1370 1 0.224082 0.867699 0.112025
1970 1 0.408196 0.956233 0.161131
809 1 0.195092 0.974528 0.145808
1975 1 0.98109 0.977548 0.136535
861 1 0.301858 0.991697 0.138272
313 1 0.41902 0.524101 0.145864
511 1 0.808275 0.520566 0.485324
488 1 0.860072 0.515312 0.189149
1327 1 0.847936 0.520257 0.182974
1662 1 0.822512 0.551715 0.180342
258 1 0.618869 0.585585 0.143657
698 1 0.00970109 0.6257 0.167717
1632 1 0.107458 0.633457 0.177213
203 1 0.269777 0.592672 0.123983
241 1 0.104534 0.641677 0.164884
287 1 0.562132 0.688859 0.184988
1549 1 0.409009 0.766227 0.132589
1007 1 0.858298 0.764457 0.199988
702 1 0.472945 0.758146 0.144402
1152 1 0.413566 0.796462 0.182857
1164 1 0.543675 0.833742 0.161271
1903 1 0.48032 0.812309 0.147268
2014 1 0.941506 0.825984 0.153641
1521 1 0.582032 0.912486 0.171322
1732 1 0.838099 0.944757 0.175327
1936 1 0.974757 0.522064 0.184724
323 1 0.506996 0.568996 0.189739
2038 1 0.814476 0.570254 0.17675
1047 1 0.678261 0.587185 0.218164
683 1 0.561517 0.687911 0.232689
500 1 0.980404 0.72523 0.188345
479 1 0.066364 0.718743 0.172423
1647 1 0.201421 0.746075 0.195542
1821 1 0.0889707 0.785415 0.196689
1442 1 0.353744 0.810635 0.183133
878 1 0.0487425 0.796327 0.22383
548 1 0.984542 0.78555 0.178681
1156 1 0.422662 0.835439 0.205698
962 1 0.529782 0.856347 0.160494
1859 1 0.463035 0.894613 0.216355
1541 1 0.513275 0.902647 0.187543
400 1 0.708378 0.937627 0.206058
1697 1 0.701575 0.985057 0.1902
34 1 0.948836 0.975036 0.193003
1768 1 0.412759 0.513917 0.220983
744 1 0.91703 0.545343 0.222401
1389 1 0.971995 0.546793 0.209619
1252 1 0.295195 0.58494 0.249489
1862 1 0.19251 0.571259 0.208301
1316 1 0.493511 0.61546 0.216009
893 1 0.979899 0.619067 0.171558
1828 1 0.231456 0.631278 0.242963
823 1 0.238112 0.649053 0.233347
1038 1 0.800556 0.690206 0.213109
225 1 0.341302 0.755475 0.203904
206 1 0.891164 0.764502 0.247772
1066 1 0.406203 0.748681 0.215131
86 1 0.993923 0.770981 0.205223
736 1 0.0601163 0.874476 0.224248
749 1 0.43285 0.880353 0.191469
450 1 0.621944 0.883501 0.195638
1868 1 0.664903 0.939231 0.227239
259 1 0.42094 0.969182 0.199306
223 1 0.699112 0.973989 0.21839
1797 1 0.587374 0.527333 0.23122
1372 1 0.0812967 0.569821 0.213245
1065 1 0.469298 0.575312 0.249414
1503 1 0.668072 0.547155 0.242794
935 1 0.0719366 0.5676 0.209907
376 1 0.650248 0.548469 0.228498
1504 1 0.296239 0.696087 0.222667
90 1 0.424526 0.722591 0.243443
1942 1 0.473899 0.725008 0.243435
353 1 0.149581 0.79166 0.229455
1864 1 0.867585 0.744151 0.226154
948 1 0.73785 0.781271 0.220245
1369 1 0.0161999 0.787893 0.216797
414 1 0.115165 0.817477 0.265812
227 1 0.765912 0.82104 0.217644
1912 1 0.874905 0.816989 0.269634
1035 1 0.549705 0.843425 0.228586
1060 1 0.955824 0.867471 0.221036
389 1 0.820435 0.896367 0.214038
1832 1 0.251031 0.907337 0.231998
347 1 0.692544 0.927157 0.258651
1811 1 0.374297 0.979784 0.227057
72 1 0.0255927 0.510755 0.223565
483 1 0.218152 0.548344 0.233388
333 1 0.339643 0.58923 0.256624
1361 1 0.890004 0.626475 0.234569
73 1 0.172601 0.60788 0.220774
527 1 0.707226 0.636723 0.264035
495 1 0.981467 0.66469 0.267302
1214 1 0.910665 0.706945 0.276227
589 1 0.879609 0.71489 0.250131
423 1 0.439153 0.742894 0.239061
1702 1 0.331806 0.79033 0.232498
201 1 0.660157 0.783856 0.252117
1438 1 0.393356 0.912582 0.252688
1687 1 0.972218 0.928355 0.241682
790 1 0.142645 0.969347 0.226062
591 1 0.396109 0.961635 0.216203
1350 1 0.631058 0.966537 0.233566
578 1 0.653277 0.974366 0.250366
1300 1 0.931971 0.98756 0.227779
1102 1 0.884825 0.546925 0.273181
1940 1 0.0190258 0.5949 0.270917
252 1 0.260269 0.630259 0.303921
213 1 0.544068 0.641956 0.275614
478 1 0.41966 0.653061 0.246886
422 1 0.637567 0.693369 0.266116
395 1 0.338528 0.697574 0.247921
906 1 0.620882 0.781323 0.282901
42 1 0.621016 0.787057 0.25506
760 1 0.167398 0.781232 0.288277
61 1 0.577673 0.761009 0.251813
294 1 0.327524 0.806912 0.258446
840 1 0.664438 0.819528 0.265864
1731 1 0.00948261 0.943122 0.270063
769 1 0.212768 0.895628 0.237064
777 1 0.0767706 0.919311 0.261462
1113 1 0.130063 0.927273 0.244048
140 1 0.0604694 0.941297 0.235093
152 1 0.437645 0.998328 0.367999
755 1 0.637146 0.502913 0.298033
741 1 0.319881 0.526637 0.316499
1534 1 0.435224 0.571967 0.237713
824 1 0.407454 0.642859 0.257041
1238 1 0.663645 0.674528 0.285084
1111 1 0.660743 0.651093 0.287478
793 1 0.64479 0.671979 0.274147
507 1 0.133515 0.68115 0.28745
983 1 0.814721 0.678887 0.295303
192 1 0.695682 0.75828 0.278271
1585 1 0.776439 0.772436 0.286042
1950 1 0.318861 0.800212 0.296595
1185 1 0.427574 0.835149 0.293419
1723 1 0.193981 0.903203 0.258684
839 1 0.758039 0.916515 0.305397
197 1 0.61162 0.919641 0.314791
474 1 0.401718 0.565442 0.484663
324 1 0.558877 0.943431 0.476828
1402 1 0.393824 0.508687 0.298598
1351 1 0.257244 0.591171 0.312523
944 1 0.510047 0.571207 0.30699
851 1 0.0624205 0.62544 0.302707
1478 1 0.53063 0.583622 0.304588
1836 1 0.379751 0.575896 0.346808
624 1 0.386787 0.628419 0.310638
1492 1 0.230745 0.670618 0.333257
477 1 0.89499 0.713689 0.278911
1059 1 0.607437 0.732063 0.296051
220 1 0.660382 0.767093 0.32275
2048 1 0.107557 0.857985 0.327575
461 1 0.196259 0.859395 0.304889
627 1 0.745354 0.883972 0.329976
112 1 0.371661 0.898074 0.293016
1793 1 0.469441 0.910671 0.32973
1017 1 0.869723 0.914611 0.303236
1825 1 0.936029 0.932144 0.310694
1926 1 0.133768 0.957899 0.287295
1498 1 0.897013 0.941755 0.312179
344 1 0.582938 0.915669 0.283877
1879 1 0.805064 0.971729 0.31146
1145 1 0.956124 0.968491 0.288062
1683 1 0.373494 0.539633 0.288234
976 1 0.270749 0.542913 0.32935
399 1 0.531519 0.532434 0.324339
567 1 0.512398 0.499856 0.317381
1099 1 0.89803 0.564029 0.322211
1407 1 0.060959 0.559914 0.304409
889 1 0.846209 0.580508 0.326453
1602 1 0.0885573 0.584502 0.335856
762 1 0.367331 0.61095 0.341262
598 1 0.703988 0.607459 0.300183
1693 1 0.746757 0.660521 0.34315
956 1 0.852259 0.690604 0.328824
1753 1 0.178014 0.702135 0.349923
1707 1 0.191549 0.751606 0.315553
946 1 0.3969 0.763122 0.341641
1690 1 0.751874 0.781143 0.327036
1558 1 0.0526435 0.820304 0.319576
1524 1 0.302179 0.823383 0.345748
1706 1 0.265914 0.858651 0.326074
730 1 0.254263 0.901438 0.283407
1607 1 0.356388 0.94339 0.308868
1993 1 0.598701 0.939889 0.289038
1837 1 0.546691 0.908171 0.472347
1239 1 0.978337 0.504875 0.344759
1631 1 0.364465 0.629538 0.364613
451 1 0.395124 0.62496 0.29521
1208 1 0.211311 0.619148 0.370069
1929 1 0.199248 0.651798 0.34383
2046 1 0.956997 0.668977 0.337482
1484 1 0.501184 0.717036 0.311523
1247 1 0.511543 0.776066 0.358031
2039 1 0.508906 0.756989 0.283977
545 1 0.128925 0.797697 0.34354
356 1 0.761174 0.76734 0.367994
1268 1 0.343334 0.865213 0.329513
1210 1 0.858774 0.833643 0.326733
732 1 0.0120951 0.873043 0.329916
249 1 0.869768 0.90263 0.35347
1987 1 0.876781 0.900355 0.346256
1119 1 0.376832 0.946042 0.333406
277 1 0.767962 0.923689 0.344118
827 1 0.978443 0.935479 0.347068
377 1 0.311666 0.9268 0.326395
427 1 0.386472 0.942348 0.327436
593 1 0.487029 0.944347 0.382149
563 1 0.496637 0.953224 0.373219
811 1 0.170957 0.505327 0.298044
871 1 0.370854 0.50869 0.352616
484 1 0.477802 0.598855 0.369431
693 1 0.66547 0.594864 0.355479
1587 1 0.689246 0.599287 0.366221
1493 1 0.693652 0.595432 0.379317
888 1 0.850986 0.625727 0.317315
973 1 0.764446 0.661031 0.359526
2021 1 0.75326 0.678566 0.346633
501 1 0.888253 0.705286 0.367971
409 1 0.189087 0.756091 0.351426
1867 1 0.499767 0.749115 0.338821
1581 1 0.905306 0.813326 0.328197
582 1 0.858001 0.819875 0.373573
1306 1 0.0350942 0.811914 0.368978
773 1 0.413919 0.817702 0.350201
1081 1 0.861573 0.876198 0.378751
1167 1 0.707887 0.8733 0.370913
1380 1 0.602151 0.935251 0.344364
280 1 0.738496 0.95147 0.343794
1564 1 0.796079 0.984743 0.0052535
792 1 0.411619 0.566481 0.0115149
1207 1 0.780568 0.533261 0.377075
587 1 0.0509195 0.539369 0.397813
559 1 0.274943 0.596712 0.360502
1762 1 0.561127 0.606829 0.309569
1256 1 0.437637 0.654967 0.374537
800 1 0.692081 0.669871 0.385586
1882 1 0.059725 0.673076 0.362878
1177 1 0.639422 0.671943 0.388481
728 1 0.742617 0.712913 0.407171
1610 1 0.131671 0.810129 0.403087
93 1 0.919257 0.800422 0.359737
302 1 0.0262304 0.846257 0.371428
1129 1 0.783402 0.898501 0.382081
368 1 0.843867 0.896086 0.393012
690 1 0.203153 0.929344 0.40845
1031 1 0.0231102 0.919006 0.402746
1682 1 0.288932 0.92175 0.376925
1860 1 0.737002 0.944246 0.352503
189 1 0.0465522 0.997098 0.35851
1550 1 0.675999 0.980748 0.397367
1366 1 0.257956 0.551903 0.396998
1029 1 0.535336 0.574017 0.410173
159 1 0.927885 0.581778 0.436067
1226 1 0.269904 0.639755 0.391855
533 1 0.0859727 0.639806 0.39318
1815 1 0.587561 0.704707 0.418816
426 1 0.774725 0.715999 0.383672
1943 1 0.358443 0.736428 0.404561
504 1 0.857812 0.694119 0.38798
310 1 0.418284 0.733391 0.379153
767 1 0.599578 0.76427 0.395654
897 1 0.468803 0.779662 0.377154
630 1 0.204541 0.839837 0.399707
282 1 0.592105 0.828084 0.429766
1083 1 0.780803 0.83028 0.372615
1617 1 0.966203 0.808776 0.37308
1592 1 0.373961 0.818266 0.430922
586 1 0.487769 0.824016 0.368627
668 1 0.359376 0.858431 0.428574
449 1 0.470321 0.891633 0.398548
1481 1 0.175574 0.852207 0.395795
1516 1 0.816929 0.855572 0.389535
1653 1 0.219179 0.907128 0.392276
378 1 0.551728 0.940064 0.395143
226 1 0.900912 0.990801 0.385663
1527 1 0.0223339 0.516519 0.398231
695 1 0.163489 0.508419 0.420184
1523 1 0.33188 0.564478 0.418688
989 1 0.338281 0.556717 0.404785
509 1 0.606816 0.69511 0.431161
1259 1 0.0403312 0.704613 0.423654
677 1 0.135932 0.697455 0.391036
874 1 0.746366 0.722619 0.446116
1790 1 0.661303 0.750059 0.438949
132 1 0.014922 0.788636 0.425098
783 1 0.223138 0.758273 0.430708
530 1 0.757236 0.773514 0.423564
1728 1 0.548915 0.817341 0.390153
314 1 0.637526 0.795138 0.414745
1715 1 0.300914 0.874027 0.422958
31 1 0.700728 0.868255 0.445368
318 1 0.0123086 0.903491 0.423707
131 1 0.932308 0.953516 0.426432
521 1 0.0937709 0.524871 0.409049
632 1 0.198807 0.523193 0.4869
1801 1 0.946423 0.532768 0.461018
158 1 0.839184 0.559043 0.422293
430 1 0.224116 0.583151 0.4543
182 1 0.779674 0.568677 0.416992
178 1 0.991119 0.610282 0.432998
526 1 0.739524 0.594087 0.456914
1062 1 0.928839 0.675633 0.398734
296 1 0.114825 0.664859 0.430113
345 1 0.430588 0.69331 0.386443
1733 1 0.0532027 0.699236 0.440391
685 1 0.687451 0.756628 0.445987
608 1 0.189254 0.812779 0.401202
1061 1 0.719973 0.929905 0.413611
1044 1 0.721286 0.929505 0.42574
1639 1 0.418969 0.998221 0.427729
1907 1 0.35139 0.575998 0.459119
1048 1 0.0990975 0.631404 0.435781
902 1 0.715857 0.667184 0.468139
276 1 0.85285 0.610975 0.438086
1456 1 0.641943 0.683658 0.438179
1869 1 0.719619 0.711523 0.416807
238 1 0.271588 0.648703 0.44077
1155 1 0.490442 0.688641 0.438147
1041 1 0.764264 0.670023 0.458515
1582 1 0.547054 0.723231 0.454516
251 1 0.422239 0.72355 0.438902
1018 1 0.401205 0.768017 0.448957
1414 1 0.177517 0.807625 0.487233
785 1 0.270334 0.798003 0.429898
14 1 0.861071 0.834532 0.433006
901 1 0.761256 0.823332 0.452545
1871 1 0.0652352 0.869627 0.456588
1046 1 0.141845 0.852352 0.401845
570 1 0.00373068 0.922177 0.463444
485 1 0.349803 0.974343 0.466022
25 1 0.435475 0.933648 0.45808
2001 1 0.554888 0.932671 0.442869
91 1 0.494617 0.966994 0.460418
1039 1 0.0351078 0.996176 0.45661
9 1 0.0864709 0.967121 0.461405
1798 1 0.764887 0.979738 0.416834
1347 1 0.767754 0.973239 0.0387426
1103 1 0.182807 0.582681 0.465144
235 1 0.629312 0.594874 0.460336
877 1 0.871078 0.672527 0.485543
2018 1 0.132124 0.664761 0.490255
160 1 0.0407953 0.886453 0.489421
1240 1 0.221468 0.894717 0.492768
852 1 0.57203 0.884667 0.475731
1963 1 0.571127 0.879494 0.498428
2029 1 0.635422 0.888272 0.45275
1560 1 0.873236 0.923853 0.471191
110 1 0.482821 0.521608 0.486586
804 1 0.546613 0.520247 0.47704
153 1 0.464785 0.92333 0.49269
247 1 0.61115 0.521212 0.468675
1965 1 0.610975 0.91567 0.493031
938 1 0.472333 0.574162 0.48782
1443 1 0.626836 0.993563 0.167677
58 1 0.859206 0.997918 0.355443
1231 1 0.0758177 0.663881 0.484474
1378 1 0.897498 0.613228 0.496501
13 1 0.0760965 0.649249 0.46659
1772 1 0.710128 0.662009 0.493392
1758 1 0.623798 0.691961 0.489182
814 1 0.226963 0.669808 0.496701
1202 1 0.917657 0.72217 0.471765
1353 1 0.0330815 0.741711 0.484025
628 1 0.716507 0.532913 0.475615
371 1 0.115549 0.992587 0.163765
290 1 0.969987 0.743095 0.475455
1808 1 0.327421 0.770139 0.451105
1685 1 0.660173 0.851279 0.474264
1648 1 0.538378 0.767486 0.498093
631 1 0.0825611 0.820709 0.482255
1150 1 0.548618 0.817048 0.483136
664 1 0.112966 0.747808 0.00564444
1037 1 0.672867 0.962499 0.0101065
1116 1 0.291257 0.805006 0.489734
1179 1 0.651849 0.814735 0.00692351
1593 1 0.516541 0.995567 0.00350567
243 1 0.658916 0.996914 0.211309
1076 1 0.986043 0.824465 0.495798
162 1 0.420331 0.735699 0.000943306
1042 1 0.256737 0.998288 0.328254
1125 1 0.302976 0.501918 0.531058
1919 1 0.169955 0.835263 0.984414
139 1 0.649805 0.509963 0.52131
1803 1 0.785746 0.908549 0.996707
1645 1 0.594321 0.920327 0.973974
1514 1 0.944331 0.584194 0.556987
1694 1 0.389287 0.507608 0.746564
775 1 0.930391 0.538695 0.522645
2019 1 0.531153 0.569383 0.508038
1660 1 0.770318 0.572384 0.537214
904 1 0.0510656 0.586298 0.516662
1454 1 0.70979 0.56867 0.505909
1542 1 0.901381 0.583952 0.500537
60 1 0.950629 0.632927 0.513145
116 1 0.0296908 0.638244 0.535518
831 1 0.599011 0.976064 0.883894
727 1 0.306124 0.737646 0.504625
2045 1 0.621921 0.732367 0.545058
1999 1 0.31208 0.733484 0.52797
540 1 0.222403 0.502538 0.90125
1495 1 0.711592 0.74474 0.50485
473 1 0.668539 0.916742 0.519193
164 1 0.791018 0.729257 0.516748
1637 1 0.40986 0.542599 0.516192
210 1 0.423943 0.978085 0.992382
925 1 0.131795 0.539039 0.523669
191 1 0.9343 0.523078 0.520603
1437 1 0.268608 0.608342 0.515189
1725 1 0.551535 0.707828 0.546919
1792 1 0.362965 0.731781 0.507418
1391 1 0.484866 0.702855 0.537471
123 1 0.486615 0.721942 0.531828
92 1 0.795747 0.750671 0.552733
930 1 0.526295 0.744254 0.530245
977 1 0.0873705 0.731286 0.552475
406 1 0.473323 0.771339 0.54631
1448 1 0.54682 0.804712 0.565616
1962 1 0.90052 0.787561 0.516923
381 1 0.0682286 0.504732 0.736554
1674 1 0.802619 0.817896 0.54768
99 1 0.25277 0.854509 0.509461
750 1 0.646015 0.857354 0.527597
817 1 0.483102 0.551747 0.528007
848 1 0.704131 0.606708 0.533123
1289 1 0.540172 0.669164 0.52194
44 1 0.118236 0.646665 0.544057
403 1 0.877688 0.732842 0.533783
1255 1 0.234764 0.782676 0.564856
996 1 0.679934 0.743229 0.581008
1745 1 0.346705 0.780873 0.561309
721 1 0.485744 0.997717 0.882073
1267 1 0.868953 0.863609 0.557301
209 1 0.94452 0.923269 0.514815
606 1 0.37079 0.960577 0.550548
1866 1 0.385786 0.593529 0.571074
758 1 0.5531 0.56914 0.565847
1123 1 0.684779 0.588993 0.569693
1517 1 0.82075 0.671606 0.562473
784 1 0.566269 0.662679 0.559006
1283 1 0.435797 0.678132 0.616235
916 1 0.411445 0.651117 0.568611
1948 1 0.0887268 0.730945 0.574501
15 1 0.1181 0.773473 0.582517
508 1 0.441882 0.780295 0.563648
1892 1 0.435873 0.808548 0.552358
815 1 0.955431 0.844969 0.569681
1619 1 0.823476 0.857946 0.567616
1196 1 0.22241 0.878244 0.550797
135 1 0.968254 0.935297 0.550161
1812 1 0.100901 0.914242 0.991068
405 1 0.721396 0.953733 0.519456
266 1 0.395915 0.520775 0.556811
856 1 0.159176 0.832682 0.501405
466 1 0.40818 0.52158 0.590271
1971 1 0.554059 0.514985 0.585443
763 1 0.659216 0.549934 0.570452
841 1 0.0255718 0.611918 0.578931
1166 1 0.26655 0.555832 0.581114
1934 1 0.573436 0.590077 0.522006
1077 1 0.0559655 0.625023 0.568565
289 1 0.312754 0.641863 0.570323
1533 1 0.334634 0.616935 0.581357
617 1 0.573371 0.667829 0.572461
53 1 0.955301 0.691454 0.570276
1850 1 0.925406 0.676628 0.577768
1189 1 0.739397 0.731789 0.584548
1117 1 0.792205 0.714322 0.584559
535 1 0.263192 0.77782 0.612591
113 1 0.638571 0.827955 0.57338
1749 1 0.998414 0.939103 0.60878
2043 1 0.543926 0.884701 0.56183
597 1 0.685725 0.923166 0.632558
1668 1 0.755456 0.973039 0.553538
1290 1 0.781607 0.963724 0.572868
1216 1 0.470492 0.992231 0.600512
1846 1 0.608393 0.511721 0.602064
89 1 0.826681 0.516548 0.601325
1831 1 0.72861 0.56418 0.62469
2025 1 0.05104 0.608087 0.587333
2034 1 0.314668 0.642317 0.605937
1766 1 0.30476 0.644313 0.580741
315 1 0.60218 0.648711 0.599021
1941 1 0.00627765 0.753514 0.600731
737 1 0.830654 0.720865 0.585064
1293 1 0.828638 0.854916 0.633388
1594 1 0.88064 0.822872 0.626281
125 1 0.125721 0.84837 0.545407
205 1 0.810267 0.90816 0.615862
1809 1 0.351386 0.88188 0.60877
1748 1 0.44429 0.874218 0.597779
903 1 0.763039 0.89206 0.613951
1170 1 0.855785 0.950354 0.552238
1535 1 0.774122 0.508866 0.614523
497 1 0.974761 0.516906 0.603489
1611 1 0.243257 0.542487 0.572722
1630 1 0.152358 0.566703 0.606427
1574 1 0.510056 0.579838 0.656521
444 1 0.143453 0.600459 0.645485
1575 1 0.15509 0.645048 0.624285
198 1 0.632188 0.640398 0.668823
1313 1 0.672064 0.675675 0.645186
1972 1 0.667283 0.702028 0.619123
676 1 0.164766 0.776544 0.612856
1896 1 0.18802 0.829139 0.633303
452 1 0.538228 0.84593 0.627509
1430 1 0.921174 0.871006 0.597532
274 1 0.639595 0.933154 0.641594
1966 1 0.722986 0.910796 0.643886
1419 1 0.75106 0.939034 0.596768
1807 1 0.750009 0.949824 0.634514
256 1 0.799891 0.916087 0.604533
1872 1 0.978844 0.903622 0.609457
687 1 0.263084 0.990441 0.61712
1486 1 0.0411324 0.504667 0.73252
1358 1 0.786425 0.555358 0.633857
724 1 0.0665321 0.550363 0.654635
1354 1 0.109305 0.644314 0.603015
47 1 0.118632 0.651245 0.624208
1002 1 0.0229105 0.730771 0.61117
952 1 0.549144 0.739297 0.637875
1088 1 0.761871 0.733771 0.641852
1193 1 0.487922 0.739734 0.647259
1107 1 0.304009 0.767611 0.626538
1822 1 0.748508 0.767346 0.626125
1144 1 0.649674 0.795012 0.636748
1567 1 0.872004 0.799832 0.622884
813 1 0.902398 0.774864 0.64638
396 1 0.738365 0.849684 0.614276
32 1 0.926051 0.898014 0.643289
1014 1 0.240519 0.973617 0.655412
1115 1 0.265755 0.982004 0.67641
283 1 0.681757 0.544844 0.674414
1467 1 0.228588 0.598999 0.665105
1488 1 0.383835 0.604516 0.658826
1719 1 0.0431328 0.653941 0.673389
585 1 0.538714 0.673462 0.653735
305 1 0.0792533 0.783633 0.69525
1737 1 0.293779 0.760603 0.639464
1181 1 0.989867 0.764372 0.651954
1005 1 0.0619878 0.795438 0.642873
1310 1 0.724725 0.811737 0.667706
1341 1 0.832346 0.801414 0.662287
1200 1 0.366379 0.909508 0.644824
1626 1 0.68784 0.854022 0.616336
1870 1 0.427924 0.95288 0.633619
397 1 0.164263 0.968476 0.665148
1274 1 0.318364 0.947775 0.697043
434 1 0.73214 0.990728 0.695328
1068 1 0.515705 0.982649 0.68213
801 1 0.954625 0.985281 0.681923
1770 1 0.24855 0.547947 0.641299
2003 1 0.890686 0.569016 0.69691
1086 1 0.0628473 0.604045 0.663503
1487 1 0.391931 0.658653 0.652589
1623 1 0.584233 0.665237 0.699972
95 1 0.954314 0.673163 0.67978
328 1 0.478619 0.695229 0.71305
679 1 0.67766 0.717058 0.691244
179 1 0.78567 0.730179 0.690715
11 1 0.24179 0.746852 0.694301
1958 1 0.247675 0.770668 0.683107
985 1 0.410795 0.88398 0.687339
1995 1 0.899836 0.890658 0.665857
442 1 0.12934 0.97315 0.696309
71 1 0.853112 0.958901 0.681697
1094 1 0.824586 0.553492 0.676142
1986 1 0.34759 0.534608 0.694735
1873 1 0.0989314 0.638191 0.671896
537 1 0.0956761 0.667107 0.689559
285 1 0.621915 0.678655 0.709677
1898 1 0.995312 0.6501 0.707557
76 1 0.000868351 0.679008 0.699323
1646 1 0.596904 0.751803 0.713214
506 1 0.4387 0.781396 0.714164
1561 1 0.800322 0.785351 0.683535
678 1 0.703327 0.819313 0.687144
1063 1 0.843731 0.797473 0.688361
292 1 0.265201 0.828961 0.664222
8 1 0.55024 0.854411 0.678387
1390 1 0.338125 0.885568 0.702077
1546 1 0.123884 0.96529 0.736162
51 1 0.352826 0.973349 0.700045
475 1 0.0220439 0.984931 0.699669
103 1 0.324061 0.986346 0.692514
1158 1 0.919743 0.54375 0.709916
862 1 0.937116 0.575987 0.703171
337 1 0.112374 0.606048 0.682099
357 1 0.294882 0.652278 0.69489
222 1 0.931807 0.607579 0.727098
975 1 0.755278 0.690698 0.716989
1568 1 0.268392 0.660511 0.730862
768 1 0.666946 0.677297 0.716098
1578 1 0.625411 0.791581 0.735237
1270 1 0.941368 0.832256 0.703814
584 1 0.0905352 0.835949 0.72492
1988 1 0.226585 0.826225 0.708898
54 1 0.0612605 0.851452 0.704616
1161 1 0.667981 0.85232 0.696526
325 1 0.131953 0.900103 0.697221
613 1 0.929648 0.858227 0.703958
1775 1 0.188568 0.887368 0.73405
538 1 0.679095 0.864714 0.73987
41 1 0.449694 0.92821 0.700262
157 1 0.440891 0.930971 0.709102
1548 1 0.0701623 0.569146 0.738394
1985 1 0.909506 0.669093 0.73362
190 1 0.2199 0.665256 0.737334
10 1 0.854668 0.699227 0.745776
1826 1 0.520625 0.71398 0.720434
967 1 0.0623604 0.748202 0.746055
482 1 0.352309 0.743822 0.708473
1186 1 0.55129 0.740728 0.736586
803 1 0.950842 0.738642 0.756894
516 1 0.141532 0.865142 0.727572
964 1 0.545833 0.912462 0.716381
1388 1 0.0103232 0.920391 0.777896
514 1 0.883059 0.514146 0.508579
1169 1 0.8932 0.565556 0.756313
1750 1 0.361203 0.518487 0.736712
80 1 0.0450049 0.616108 0.761285
360 1 0.339164 0.577544 0.740019
1726 1 0.13914 0.62183 0.73838
1071 1 0.757303 0.645562 0.77048
242 1 0.687422 0.715418 0.752281
1900 1 0.108601 0.709274 0.758197
898 1 0.777681 0.745875 0.748843
833 1 0.426648 0.760431 0.772728
311 1 0.89493 0.802718 0.732534
641 1 0.606719 0.80192 0.751832
626 1 0.950893 0.807598 0.724101
207 1 0.547479 0.815571 0.739981
735 1 0.698191 0.83584 0.76197
1204 1 0.870216 0.844416 0.771969
1704 1 0.904941 0.827009 0.751554
754 1 0.843733 0.887787 0.735281
842 1 0.0907229 0.954572 0.762641
913 1 0.280233 0.942477 0.759729
583 1 0.537726 0.981105 0.735782
1030 1 0.562031 0.90829 0.994615
1526 1 0.092785 0.565238 0.765597
1787 1 0.0657553 0.599872 0.797175
465 1 0.281078 0.626796 0.788027
756 1 0.857443 0.651065 0.787333
970 1 0.448627 0.645879 0.778222
503 1 0.562197 0.732739 0.788577
1110 1 0.681094 0.742544 0.753728
1990 1 0.0764644 0.710167 0.767769
776 1 0.481919 0.716602 0.764757
471 1 0.611343 0.728948 0.789017
336 1 0.911987 0.791388 0.732649
1946 1 0.865815 0.853108 0.779599
1104 1 0.251167 0.883013 0.742781
67 1 0.229647 0.935785 0.761005
1847 1 0.680312 0.949167 0.749679
838 1 0.230248 0.945129 0.809642
1120 1 0.255454 0.553001 0.800454
923 1 0.39059 0.512606 0.733647
1916 1 0.252896 0.566356 0.810995
770 1 0.766085 0.601448 0.792056
1939 1 0.987576 0.622132 0.793239
291 1 0.877508 0.640171 0.78641
248 1 0.202259 0.648795 0.747128
299 1 0.308681 0.659079 0.774221
322 1 0.514325 0.668965 0.795131
196 1 0.898506 0.700668 0.800211
1848 1 0.00216077 0.70207 0.817859
1296 1 0.61846 0.733138 0.80054
1112 1 0.66812 0.804172 0.792408
659 1 0.763008 0.787723 0.785978
1441 1 0.362533 0.793922 0.756721
293 1 0.771864 0.783205 0.786197
1769 1 0.901836 0.803362 0.746943
799 1 0.27158 0.821299 0.780324
1579 1 0.663979 0.831856 0.843622
1027 1 0.872934 0.833451 0.788414
671 1 0.801303 0.877826 0.774056
1089 1 0.336122 0.926719 0.795308
1989 1 0.202444 0.957141 0.780313
1417 1 0.661585 0.973594 0.770323
1203 1 0.44896 0.977516 0.791415
951 1 0.514904 0.975401 0.788012
417 1 0.41674 0.51105 0.974971
432 1 0.355161 0.76014 0.975565
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560 1 0.117496 0.707466 0.807687
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398 1 0.799707 0.758305 0.873647
712 1 0.0971365 0.769313 0.878337
317 1 0.342171 0.778775 0.864922
1294 1 0.308386 0.795016 0.876936
1182 1 0.884989 0.816283 0.895508
599 1 0.965502 0.846572 0.863713
518 1 0.758374 0.886315 0.867548
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69 1 0.813578 0.816938 0.875375
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83 1 0.518956 0.656329 0.907579
84 1 0.899763 0.709686 0.980068
1906 1 0.925667 0.792828 0.925486
375 1 0.218341 0.806049 0.940303
958 1 0.38742 0.819368 0.895402
1596 1 0.0555351 0.849238 0.898291
1222 1 0.0468635 0.842725 0.905032
457 1 0.580502 0.867237 0.926916
742 1 0.564844 0.867951 0.909621
1237 1 0.816971 0.912441 0.898727
168 1 0.267031 0.96141 0.914214
1786 1 0.799036 0.951434 0.914852
121 1 0.922612 0.941278 0.925575
1511 1 0.744768 0.950116 0.920429
232 1 0.00249237 0.531734 0.922486
1401 1 0.103739 0.565533 0.962211
2020 1 0.47897 0.535971 0.92117
1057 1 0.329343 0.534212 0.93694
1131 1 0.0261821 0.544941 0.954789
1453 1 0.946506 0.568056 0.939772
846 1 0.556155 0.559118 0.933353
1529 1 0.451734 0.659961 0.932928
1332 1 0.951424 0.712403 0.934311
271 1 0.528275 0.728646 0.904077
1008 1 0.344633 0.774092 0.937707
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634 1 0.216762 0.795198 0.945539
334 1 0.110622 0.861626 0.942488
1464 1 0.730674 0.87967 0.919002
1100 1 0.368477 0.904225 0.940022
575 1 0.481338 0.957157 0.924473
596 1 0.390318 0.947313 0.919725
1739 1 0.399522 0.971263 0.977673
1337 1 0.44272 0.946993 0.943414
1545 1 0.239295 0.976152 0.960054
720 1 0.480631 0.971185 0.910841
1666 1 0.954348 0.981824 0.947352
1998 1 0.27651 0.509442 0.983591
820 1 0.556693 0.526001 0.941937
1765 1 0.42408 0.574256 0.962988
1938 1 0.467039 0.628271 0.962386
39 1 0.482165 0.606164 0.926258
1499 1 0.728029 0.640662 0.950552
1435 1 0.737095 0.665538 0.921748
733 1 0.403653 0.636727 0.955919
2000 1 0.550318 0.691029 0.975247
1624 1 0.288233 0.691053 0.965678
1780 1 0.725608 0.71383 0.986741
1857 1 0.760078 0.74749 0.961882
1603 1 0.0262217 0.781832 0.970297
431 1 0.395918 0.747421 0.950466
1434 1 0.321357 0.758752 0.965193
1676 1 0.111527 0.824388 0.970196
1397 1 0.383507 0.846807 0.93888
151 1 0.976699 0.831578 0.940184
176 1 0.573043 0.848873 0.953096
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1994 1 0.383451 0.785384 0.978035
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1408 1 0.338771 0.778569 0.946097
907 1 0.916449 0.754046 0.929046
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| [
"[email protected]"
] | |
8603cf60ef58ca914e68ca90dc7218b1cb8c56d1 | 9e567b8241ce00e9d53843f5aba11c4a119b079f | /tags/basemap_v0_1_1/toolkits/basemap/lib/matplotlib/toolkits/basemap/basemap.py | 5a5f2e8a998ca09e38a45384a108347f6f0e0790 | [
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-other-permissive",
"LicenseRef-scancode-us-govt-public-domain",
"MIT"
] | permissive | neilpanchal/matplotlib | 3d2a7133e858c4eefbb6c2939eb3f7a328b18118 | 7565d1f2943e0e7b4a3f11ce692dfb9b548d0b83 | refs/heads/master | 2020-06-11T09:20:43.941323 | 2011-01-21T21:50:16 | 2011-01-21T21:50:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 25,037 | py | from matplotlib.collections import LineCollection
from matplotlib.patches import Polygon
from matplotlib.lines import Line2D
import numarray as N
from numarray import nd_image
import sys, os, MLab
from proj import Proj
_datadir = os.path.join(sys.prefix,'share/basemap')
class Basemap:
"""
Set up a basemap with a given map projection (cylindrical equidistant,
mercator, lambert conformal conic, lambert azimuthal equal area,
albers equal area conic and stereographic are currently available).
Doesn't actually draw anything, but sets up the map projection class and
creates the coastline and political boundary polygons in native map
projection coordinates. Requires matplotlib and numarray.
Uses a pyrex interface to C-code from proj.4 (http://proj.maptools.org).
Useful instance variables:
projection - map projection ('cyl','merc','lcc','aea','laea' or 'stere')
aspect - map aspect ratio (size of y dimension / size of x dimension).
llcrnrlon - longitude of lower left hand corner of the desired map domain.
llcrnrlon - latitude of lower left hand corner of the desired map domain.
urcrnrlon - longitude of upper right hand corner of the desired map domain.
urcrnrlon - latitude of upper right hand corner of the desired map domain.
llcrnrx,llcrnry,urcrnrx,urcrnry - corners of map domain in projection coordinates.
Example Usage:
(this example plus others can be run by running test.py in the examples dir)
>>> from matplotlib.toolkits.basemap import Basemap
>>> import cPickle
>>> from pylab import *
>>> # read in topo data from pickle (on a regular lat/lon grid)
>>> topodict = cPickle.load(open('etopo20.pickle','rb'))
>>> etopo = topodict['data']; lons = topodict['lons']; lats = topodict['lats']
>>> m = Basemap(lons[0],lats[0],lons[-1],lats[-1])
>>> xsize = rcParams['figure.figsize'][0]
>>> fig=figure(figsize=(xsize,m.aspect*xsize))
>>> fig.add_axes([0.1,0.1,0.8,0.8])
>>> im = imshow(etopo,extent=(m.llcrnrx,m.urcrnrx,m.llcrnry,m.urcrnry),origin='lower')
>>> ax = gca() # get current axis instance
>>> # draw coastlines and fill continents.
>>> m.drawcoastlines(ax)
>>> m.fillcontinents(ax)
>>> # draw parallels
>>> circles = arange(-90.,120.,30.)
>>> m.drawparallels(ax,circles)
>>> # draw meridians
>>> meridians = arange(0.,390.,60.)
>>> m.drawmeridians(ax,meridians)
>>> ax.set_xticks([]) # no ticks
>>> ax.set_yticks([])
>>> title('Cylindrical Equidistant')
>>> show()
Version: 0.1 (20050203)
Contact: Jeff Whitaker <[email protected]>
"""
def __init__(self,llcrnrlon,llcrnrlat,urcrnrlon,urcrnrlat,\
resolution='c',area_thresh=10000.,projection='cyl',rsphere=6371009.,\
lat_ts=None,lat_1=None,lat_2=None,lat_0=None,lon_0=None):
"""
create a Basemap instance.
mandatory input arguments:
llcrnrlon - longitude of lower left hand corner of the desired map domain.
llcrnrlon - latitude of lower left hand corner of the desired map domain.
urcrnrlon - longitude of upper right hand corner of the desired map domain.
urcrnrlon - latitude of upper right hand corner of the desired map domain.
optional keyword parameters:
resolution - resolution of coastline database to use. Can be 'c' (crude,
roughly 25 km resolution) or 'l' (low, roughly 5 km resolution). Default 'c'.
Coastline data is from the GSHHS
(http://www.soest.hawaii.edu/wessel/gshhs/gshhs.html).
area_thresh - coastline with an area smaller than area_thresh in km^2
will not be plotted. Default 10,000.
projection - map projection. 'cyl' - cylindrical equidistant, 'merc' -
mercator, 'lcc' - lambert conformal conic, 'stere' - stereographic,
'aea' - albers equal area conic, and
'laea' - lambert azimuthal equal area currently available. Default 'cyl'.
rsphere - radius of the sphere used to define map projection (default
6371009 meters, close to the arithmetic mean radius of the earth).
The following parameters are map projection parameters which all default to
None. Not all parameters are used by all projections, some are ignored.
lat_ts - latitude of natural origin (used for mercator and stereographic
projections).
lat_1 - first standard parallel for lambert conformal and albers
equal area projections.
lat_2 - second standard parallel for lambert conformal and albers
equal area projections.
lat_0 - central latitude (y-axis origin) - used by stereographic and
lambert azimuthal projections).
lon_0 - central meridian (x-axis origin - used by lambert conformal
and lambert azimuthal and stereographic projections).
"""
# read in coastline data.
coastlons = []; coastlats = []; coastsegind = []; coastsegarea = []
i = 0 # the current ind
for line in open(os.path.join(_datadir,'gshhs_'+resolution+'.txt')):
linesplit = line.split()
if line.startswith('P'):
coastsegind.append(i)
coastsegarea.append(float(linesplit[5]))
continue
# lon/lat
lon, lat = [float(val) for val in linesplit]
coastlons.append(lon)
coastlats.append(lat)
i += 1
# read in country boundary data.
cntrylons = []; cntrylats = []; cntrysegind = []
i = 0 # the current ind
for line in open(os.path.join(_datadir,'countries_'+resolution+'.txt')):
linesplit = line.split()
if line.startswith('>'):
cntrysegind.append(i)
continue
# lon/lat
lon, lat = [float(val) for val in linesplit]
cntrylons.append(lon)
cntrylats.append(lat)
i += 1
# read in state boundaries (Americas only).
statelons = []; statelats = []; statesegind = []
i = 0 # the current ind
for line in open(os.path.join(_datadir,'states_'+resolution+'.txt')):
linesplit = line.split()
if line.startswith('>'):
statesegind.append(i)
continue
# lon/lat
lon, lat = [float(val) for val in linesplit]
statelons.append(lon)
statelats.append(lat)
i += 1
# extend longitudes around the earth a second time
# (in case projection region straddles Greenwich meridian).
coastlons2 = [lon+360. for lon in coastlons]
cntrylons2 = [lon+360. for lon in cntrylons]
statelons2 = [lon+360. for lon in statelons]
# set up projections using Proj class.
self.projection = projection
self.llcrnrlon = llcrnrlon
self.llcrnrlat = llcrnrlat
self.urcrnrlon = urcrnrlon
self.urcrnrlat = urcrnrlat
projparams = {}
projparams['proj'] = projection
projparams['R'] = rsphere
self.rsphere = rsphere
if projection == 'lcc':
if lat_1 is None or lon_0 is None:
raise ValueError, 'must specify lat_1 and lon_0 for Lambert Conformal basemap'
projparams['lat_1'] = lat_1
if lat_2 != None:
projparams['lat_2'] = lat_2
projparams['lon_0'] = lon_0
proj = Proj(projparams,llcrnrlon,llcrnrlat,urcrnrlon,urcrnrlat)
elif projection == 'aea':
if lat_1 is None or lat_2 is None or lon_0 is None:
raise ValueError, 'must specify lat_1, lat_2 and lon_0 for Albers Equal Area basemap'
projparams['lat_1'] = lat_1
projparams['lat_2'] = lat_2
projparams['lon_0'] = lon_0
proj = Proj(projparams,llcrnrlon,llcrnrlat,urcrnrlon,urcrnrlat)
elif projection == 'stere':
if lat_ts is None or lat_0 is None or lon_0 is None:
raise ValueError, 'must specify lat_ts,lat_0 and lon_0 for Stereographic basemap'
projparams['lat_ts'] = lat_ts
projparams['lat_0'] = lat_0
projparams['lon_0'] = lon_0
proj = Proj(projparams,llcrnrlon,llcrnrlat,urcrnrlon,urcrnrlat)
elif projection == 'laea':
if None or lat_0 is None or lon_0 is None:
raise ValueError, 'must specify lat_0 and lon_0 for Lambert Azimuthal basemap'
projparams['lat_0'] = lat_0
projparams['lon_0'] = lon_0
proj = Proj(projparams,llcrnrlon,llcrnrlat,urcrnrlon,urcrnrlat)
elif projection == 'merc':
if lat_ts is None:
raise ValueError, 'must specify lat_ts for Mercator basemap'
projparams['lat_ts'] = lat_ts
proj = Proj(projparams,llcrnrlon,llcrnrlat,urcrnrlon,urcrnrlat)
elif projection == 'cyl':
proj = Proj(projparams,llcrnrlon,llcrnrlat,urcrnrlon,urcrnrlat)
else:
raise ValueError, 'unsupported projection'
# make Proj instance a Basemap instance variable.
self.projtran = proj
# set instance variables defining map region.
self.xmin = proj.xmin
self.xmax = proj.xmax
self.ymin = proj.ymin
self.ymax = proj.ymax
if projection == 'cyl' or projection == 'merc':
self.aspect = (urcrnrlat-llcrnrlat)/(urcrnrlon-llcrnrlon)
else:
self.aspect = (proj.ymax-proj.ymin)/(proj.xmax-proj.xmin)
self.llcrnrx = proj.llcrnrx
self.llcrnry = proj.llcrnry
self.urcrnrx = proj.urcrnrx
self.urcrnry = proj.urcrnry
# transform coastline polygons to native map coordinates.
xc,yc = proj(N.array(coastlons,'f'),N.array(coastlats,'f'))
xc2,yc2 = proj(N.array(coastlons2,'f'),N.array(coastlats,'f'))
if projection == 'merc': yc2=yc
# set up segments in form needed for LineCollection,
# ignoring 'inf' values that are off the map, and skipping
# polygons that have an area > area_thresh..
segments = [zip(xc[i0:i1],yc[i0:i1]) for a,i0,i1 in zip(coastsegarea[:-1],coastsegind[:-1],coastsegind[1:]) if a > area_thresh]
segments2 = [zip(xc2[i0:i1],yc2[i0:i1]) for a,i0,i1 in zip(coastsegarea[:-1],coastsegind[:-1],coastsegind[1:]) if a > area_thresh and max(xc2[i0:i1]) < 1.e20 and max(yc2[i0:i1]) < 1.e20]
self.coastsegs = segments+segments2
# same as above for country polygons.
xc,yc = proj(N.array(cntrylons,'f'),N.array(cntrylats,'f'))
xc2,yc2 = proj(N.array(cntrylons2,'f'),N.array(cntrylats,'f'))
segments = [zip(xc[i0:i1],yc[i0:i1]) for i0,i1 in zip(cntrysegind[:-1],cntrysegind[1:])]
segments2 = [zip(xc2[i0:i1],yc2[i0:i1]) for i0,i1 in zip(cntrysegind[:-1],cntrysegind[1:]) if max(xc2[i0:i1]) < 1.e20 and max(yc2[i0:i1]) < 1.e20]
self.cntrysegs = segments+segments2
# same as above for state polygons.
xc,yc = proj(N.array(statelons,'f'),N.array(statelats,'f'))
xc2,yc2 = proj(N.array(statelons2,'f'),N.array(statelats,'f'))
segments = [zip(xc[i0:i1],yc[i0:i1]) for i0,i1 in zip(statesegind[:-1],statesegind[1:])]
segments2 = [zip(xc2[i0:i1],yc2[i0:i1]) for i0,i1 in zip(statesegind[:-1],statesegind[1:]) if max(xc2[i0:i1]) < 1.e20 and max(yc2[i0:i1]) < 1.e20]
self.statesegs = segments+segments2
# store coast polygons for filling.
# special treatment (kludge) for Antarctica.
self.coastpolygons=[]
if projection == 'merc':
xsp,ysp = proj(0.,-89.9) # s. pole coordinates.
xa,ya = proj(0.,-68.0) # edge of antarctica.
for seg in self.coastsegs:
x = [lon for lon,lat in seg]
y = [lat for lon,lat in seg]
# the antarctic polygon is a nuisance, since it
# spans all longitudes, it's not closed and will not be filled
# without some projection dependant tweaking.
if projection == 'cyl':
if x[-1] == 0.000 and y[-1] < -68.: # close antarctica
x.append(0.)
y.append(-90.0000)
x.insert(0,360.)
y.insert(0,-90)
if x[-1] == 360.000 and y[-1] < -68.:
x.append(360.)
y.append(-90)
x.insert(0,720.)
y.insert(0,-90)
elif projection == 'merc':
if x[-1] == 0.000 and y[-1] < ya: # close antarctica
x.append(0.)
y.append(ysp)
x.insert(0,360.)
y.insert(0,ysp)
if x[-1] == 360.000 and y[-1] < ya:
x.append(360.)
y.append(ysp)
x.insert(0,720.)
y.insert(0,ysp)
self.coastpolygons.append((x,y))
def __call__(self,x,y,inverse=False):
"""
Calling a Basemap class instance with the arguments lon, lat will
convert lon/lat (in degrees) to x/y native map projection
coordinates (in meters). If optional keyword 'inverse' is
True (default is False), the inverse transformation from x/y
to lon/lat is performed.
For cylindrical equidistant projection ('cyl'), this
does nothing (i.e. x,y == lon,lat).
For mercator projection ('merc'), x == lon, but y has units
of meters.
lon,lat can be either scalar floats or N arrays.
"""
return self.projtran(x,y,inverse=inverse)
def makegrid(self,nx,ny):
"""
return arrays of shape (ny,nx) containing lon,lat coordinates of
an equally spaced native projection grid.
"""
return self.projtran.makegrid(nx,ny)
def fillcontinents(self,ax,color=0.8):
"""
Fill continents.
ax - current axis instance.
color - color to fill continents (default gray).
"""
# define corners of map domain.
p1 = (self.llcrnrx,self.llcrnry); p2 = (self.urcrnrx,self.urcrnry)
p3 = (self.llcrnrx,self.urcrnry); p4 = (self.urcrnrx,self.llcrnry)
for x,y in self.coastpolygons:
xa = N.array(x,'f')
ya = N.array(y,'f')
# clip to map domain.
xa = N.clip(xa, self.xmin, self.xmax)
ya = N.clip(ya, self.ymin, self.ymax)
# check to see if all four corners of domain in polygon (if so,
# don't draw since it will just fill in the whole map).
test1 = N.fabs(xa-self.xmax) < 10.
test2 = N.fabs(xa-self.xmin) < 10.
test3 = N.fabs(ya-self.ymax) < 10.
test4 = N.fabs(ya-self.ymin) < 10.
hasp1 = sum(test1*test3)
hasp2 = sum(test2*test3)
hasp4 = sum(test2*test4)
hasp3 = sum(test1*test4)
if not hasp1 or not hasp2 or not hasp3 or not hasp4:
xy = zip(xa.tolist(),ya.tolist())
poly = Polygon(xy,facecolor=color,edgecolor=color,linewidth=0)
ax.add_patch(poly)
def drawcoastlines(self,ax,linewidth=1.,color='k',antialiased=1):
"""
Draw coastlines.
ax - current axis instance.
linewidth - coastline width (default 1.)
color - coastline color (default black)
antialiased - antialiasing switch for coastlines (default True).
"""
coastlines = LineCollection(self.coastsegs,antialiaseds=(antialiased,))
try:
coastlines.set_color(color)
except: # this was a typo that existed in matplotlib-0.71 and earlier
coastlines.color(color)
coastlines.set_linewidth(linewidth)
ax.add_collection(coastlines)
def drawcountries(self,ax,linewidth=0.5,color='k',antialiased=1):
"""
Draw country boundaries.
ax - current axis instance.
linewidth - country boundary line width (default 0.5)
color - country boundary line color (default black)
antialiased - antialiasing switch for country boundaries (default True).
"""
coastlines = LineCollection(self.cntrysegs,antialiaseds=(antialiased,))
try:
coastlines.set_color(color)
except: # this was a typo that existed in matplotlib-0.71 and earlier
coastlines.color(color)
coastlines.set_linewidth(linewidth)
ax.add_collection(coastlines)
def drawstates(self,ax,linewidth=0.5,color='k',antialiased=1):
"""
Draw state boundaries in Americas.
ax - current axis instance.
linewidth - state boundary line width (default 0.5)
color - state boundary line color (default black)
antialiased - antialiasing switch for state boundaries (default True).
"""
coastlines = LineCollection(self.statesegs,antialiaseds=(antialiased,))
try:
coastlines.set_color(color)
except: # this was a typo that existed in matplotlib-0.71 and earlier
coastlines.color(color)
coastlines.set_linewidth(linewidth)
ax.add_collection(coastlines)
def drawparallels(self,ax,circles,color='k',linewidth=1., \
linestyle='--',dashes=[1,1]):
"""
draw parallels (latitude lines).
ax - current axis instance.
circles - list containing latitude values to draw (in degrees).
color - color to draw parallels (default black).
linewidth - line width for parallels (default 1.)
linestyle - line style for parallels (default '--', i.e. dashed).
dashes - dash pattern for parallels (default [1,1], i.e. 1 pixel on,
1 pixel off).
"""
if self.projection in ['merc','cyl']:
lons = N.arange(self.llcrnrlon,self.urcrnrlon,1).astype('f')
else:
lons = N.arange(0,362,1).astype('f')
# make sure 80 degree parallel is drawn if projection not merc or cyl
try:
circlesl = circles.tolist()
except:
circlesl = circles
if self.projection not in ['merc','cyl'] and 80. not in circlesl:
circlesl.append(80.)
xdelta = 0.1*(self.xmax-self.xmin)
ydelta = 0.1*(self.ymax-self.ymin)
for circ in circlesl:
lats = circ*N.ones(len(lons),'f')
x,y = self(lons,lats)
# remove points outside domain.
testx = N.logical_and(x>=self.xmin-xdelta,x<=self.xmax+xdelta)
x = N.compress(testx, x)
y = N.compress(testx, y)
testy = N.logical_and(y>=self.ymin-ydelta,y<=self.ymax+ydelta)
x = N.compress(testy, x)
y = N.compress(testy, y)
if len(x) > 1 and len(y) > 1:
# split into separate line segments if necessary.
# (not necessary for mercator or cylindrical).
xd = (x[1:]-x[0:-1])**2
yd = (y[1:]-y[0:-1])**2
dist = N.sqrt(xd+yd)
split = dist > 500000.
if N.sum(split) and self.projection not in ['merc','cyl']:
ind = (N.compress(split,MLab.squeeze(split*N.indices(xd.shape)))+1).tolist()
xl = []
yl = []
iprev = 0
ind.append(len(xd))
for i in ind:
xl.append(x[iprev:i])
yl.append(y[iprev:i])
iprev = i
else:
xl = [x]
yl = [y]
# draw each line segment.
for x,y in zip(xl,yl):
# skip if only a point.
if len(x) > 1 and len(y) > 1:
l = Line2D(x,y,linewidth=linewidth,linestyle=linestyle)
l.set_color(color)
l.set_dashes(dashes)
ax.add_line(l)
def drawmeridians(self,ax,meridians,color='k',linewidth=1., \
linestyle='--',dashes=[1,1]):
"""
draw meridians (longitude lines).
ax - current axis instance.
meridians - list containing longitude values to draw (in degrees).
color - color to draw meridians (default black).
linewidth - line width for meridians (default 1.)
linestyle - line style for meridians (default '--', i.e. dashed).
dashes - dash pattern for meridians (default [1,1], i.e. 1 pixel on,
1 pixel off).
"""
if self.projection not in ['merc','cyl']:
lats = N.arange(-80,81).astype('f')
else:
lats = N.arange(-90,91).astype('f')
xdelta = 0.1*(self.xmax-self.xmin)
ydelta = 0.1*(self.ymax-self.ymin)
for merid in meridians:
lons = merid*N.ones(len(lats),'f')
x,y = self(lons,lats)
# remove points outside domain.
testx = N.logical_and(x>=self.xmin-xdelta,x<=self.xmax+xdelta)
x = N.compress(testx, x)
y = N.compress(testx, y)
testy = N.logical_and(y>=self.ymin-ydelta,y<=self.ymax+ydelta)
x = N.compress(testy, x)
y = N.compress(testy, y)
if len(x) > 1 and len(y) > 1:
# split into separate line segments if necessary.
# (not necessary for mercator or cylindrical).
xd = (x[1:]-x[0:-1])**2
yd = (y[1:]-y[0:-1])**2
dist = N.sqrt(xd+yd)
split = dist > 500000.
if N.sum(split) and self.projection not in ['merc','cyl']:
ind = (N.compress(split,MLab.squeeze(split*N.indices(xd.shape)))+1).tolist()
xl = []
yl = []
iprev = 0
ind.append(len(xd))
for i in ind:
xl.append(x[iprev:i])
yl.append(y[iprev:i])
iprev = i
else:
xl = [x]
yl = [y]
# draw each line segment.
for x,y in zip(xl,yl):
# skip if only a point.
if len(x) > 1 and len(y) > 1:
l = Line2D(x,y,linewidth=linewidth,linestyle=linestyle)
l.set_color(color)
l.set_dashes(dashes)
ax.add_line(l)
def interp(datain,lonsin,latsin,lonsout,latsout,checkbounds=False,mode='nearest',cval=0.0,order=3):
"""
dataout = interp(datain,lonsin,latsin,lonsout,latsout,mode='constant',cval=0.0,order=3)
interpolate data (datain) on a regularly spaced lat/lon grid (with lons=lonsin
lats=latsin) to a grid with lons=lonsout, lats=latsout.
datain is a rank-2 array with 1st dimension corresponding to longitude,
2nd dimension latitude.
lonsin, latsin are rank-1 Numeric arrays containing longitudes and latitudes
of datain grid in increasing order (i.e. from Greenwich meridian eastward, and
South Pole northward)
lonsout, latsout are rank-2 Numeric arrays containing lons and lats out desired
output grid (typically a native map projection grid).
If checkbounds=True, values of lonsout and latsout are checked to see that
they lie within the range specified by lonsin and latsing. Default is
False, and values outside the borders are handled in the manner described
by the 'mode' parameter (default mode='nearest', which means the nearest
boundary value is used). See section 20.2 of the numarray docs for
information on the 'mode' keyword.
See numarray.nd_image.map_coordinates documentation for information on
the other optional keyword parameters. The order keyword can be 0
for nearest neighbor interpolation (nd_image only allows 1-6) - if
order=0 bounds checking is done even if checkbounds=False.
"""
# lons and lats must be monotonically increasing.
# lonsin, latsin assumed equally spaced.
# make sure lonsin, latsin increasing.
if lonsin[-1]-lonsin[0] < 0 or latsin[-1]-latsin[0] < 0:
raise ValueError, 'lonsin and latsin must be increasing!'
# make sure lonsin, latsin are regularly spaced.
delon = lonsin[1:]-lonsin[0:-1]
delat = latsin[1:]-latsin[0:-1]
if max(delat)-min(delat) > 1.e-4 or max(delon)-min(delon) > 1.e-4:
raise ValueError, 'lat/lon grid must be uniform!'
# optionally, check that lonsout,latsout are
# within region defined by lonsin,latsin.
if checkbounds or order == 0:
if min(N.ravel(lonsout)) < min(lonsin) or \
max(N.ravel(lonsout)) > max(lonsin) or \
min(N.ravel(latsout)) < min(latsin) or \
max(N.ravel(latsout)) > max(latsin):
raise ValueError, 'latsout or lonsout outside range of latsin or lonsin'
xcoords = (len(lonsin)-1)*(lonsout-lonsin[0])/(lonsin[-1]-lonsin[0])
ycoords = (len(latsin)-1)*(latsout-latsin[0])/(latsin[-1]-latsin[0])
coords = [ycoords,xcoords]
# interpolate to projection grid using numarray.nd_image spline filter.
if order:
return nd_image.map_coordinates(datain,coords,mode=mode,cval=cval,order=order)
else:
# nearest neighbor interpolation if order=0.
# uses index arrays, so first convert to numarray.
datatmp = N.array(datain,datain.typecode())
xi = N.around(xcoords).astype('i')
yi = N.around(ycoords).astype('i')
return datatmp[yi,xi]
| [
"(no author)@f61c4167-ca0d-0410-bb4a-bb21726e55ed"
] | (no author)@f61c4167-ca0d-0410-bb4a-bb21726e55ed |
e7eef688a513394c0ad13daa03a804f5f7b78d13 | 4610d0284416361643095ca9c3f404ad82ca63c2 | /src/sploitego/xmltools/__init__.py | 794eae10734f7233002fc04e4d2c183fdddf298b | [] | no_license | mshelton/sploitego | 165a32874d955621c857552fb9692ecf79e77b7e | 3944451a110f851a626459767d114569d80a158c | refs/heads/master | 2020-12-25T03:11:58.071280 | 2012-08-16T22:33:10 | 2012-08-16T22:33:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 307 | py | #!/usr/bin/env python
__author__ = 'Nadeem Douba'
__copyright__ = 'Copyright 2012, Sploitego Project'
__credits__ = ['Nadeem Douba']
__license__ = 'GPL'
__version__ = '0.1'
__maintainer__ = 'Nadeem Douba'
__email__ = '[email protected]'
__status__ = 'Development'
__all__ = [
'objectify',
'oxml'
] | [
"[email protected]"
] | |
ad6e4a658bf93bbdaa02f01a60c6f4f8f44bb105 | 8f9b10acd4b7b8c94ee65c21e6bdb06555d8f669 | /anti/migrations/0001_initial.py | a78244a7828ec5d6f51faee450d03d6a3de23072 | [] | no_license | leezichanga/unmask-corruption | d848d814118ab785482b57a2c5fcebd5067c2183 | 231cdb517a2c5a0c2a8bd2a0d9cbec9349106a56 | refs/heads/master | 2020-03-18T23:26:41.418951 | 2018-06-04T12:59:28 | 2018-06-04T12:59:28 | 135,403,201 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,560 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-06-03 10:32
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='categories',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=30)),
],
),
migrations.CreateModel(
name='report',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=60)),
('location', models.CharField(max_length=60)),
('description', models.TextField()),
('email', models.EmailField(max_length=254)),
('time_uploaded', models.DateTimeField(auto_now_add=True, null=True)),
('report', models.TextField()),
('category', models.ManyToManyField(to='anti.categories')),
('editor', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'ordering': ['-time_uploaded'],
},
),
]
| [
"[email protected]"
] | |
a30eee4d854f094ff7638bc79860ddac7bac2068 | 73e939e797cc28aa33a4f55c234237c47167033e | /ynab_api/model/accounts_response.py | 7de75c556b7c9e317bf693bd9bcb8b75435ccea8 | [] | no_license | dmlerner/ynab-api | b883a086e6ce7c5d2bdb5b17f3f0a40dbb380046 | df94b620d9ec626eacb9ce23bfd313f1c589b03a | refs/heads/master | 2023-08-17T14:22:17.606633 | 2023-07-03T17:05:16 | 2023-07-03T17:05:16 | 223,287,209 | 27 | 13 | null | 2023-08-05T18:58:58 | 2019-11-21T23:58:22 | Python | UTF-8 | Python | false | false | 11,661 | py | """
YNAB API Endpoints
Our API uses a REST based design, leverages the JSON data format, and relies upon HTTPS for transport. We respond with meaningful HTTP response codes and if an error occurs, we include error details in the response body. API Documentation is at https://api.youneedabudget.com # noqa: E501
The version of the OpenAPI document: 2.0.3
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from ynab_api.model_utils import ( # noqa: F401
ApiTypeError, ModelComposed, ModelNormal, ModelSimple, cached_property,
change_keys_js_to_python, convert_js_args_to_python_args, date, datetime,
file_type, none_type, validate_get_composed_info,
)
from ..model_utils import OpenApiModel
from ynab_api.exceptions import ApiAttributeError
def lazy_import():
from ynab_api.model.accounts_response_data import AccountsResponseData
globals()['AccountsResponseData'] = AccountsResponseData
class AccountsResponse(ModelNormal):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
Attributes:
allowed_values (dict): The key is the tuple path to the attribute
and the for var_name this is (var_name,). The value is a dict
with a capitalized key describing the allowed value and an allowed
value. These dicts store the allowed enum values.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
discriminator_value_class_map (dict): A dict to go from the discriminator
variable value to the discriminator class name.
validations (dict): The key is the tuple path to the attribute
and the for var_name this is (var_name,). The value is a dict
that stores validations for max_length, min_length, max_items,
min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum,
inclusive_minimum, and regex.
additional_properties_type (tuple): A tuple of classes accepted
as additional properties values.
"""
allowed_values = {}
validations = {}
@cached_property
def additional_properties_type():
"""
This must be a method because a model may have properties that are
of type self, this must run after the class is loaded
"""
lazy_import()
return (
bool,
date,
datetime,
dict,
float,
int,
list,
str,
none_type,
) # noqa: E501
_nullable = False
@cached_property
def openapi_types():
"""
This must be a method because a model may have properties that are
of type self, this must run after the class is loaded
Returns
openapi_types (dict): The key is attribute name
and the value is attribute type.
"""
lazy_import()
return {
'data': (AccountsResponseData, ), # noqa: E501
}
@cached_property
def discriminator():
return None
attribute_map = {
'data': 'data', # noqa: E501
}
read_only_vars = {}
_composed_schemas = {}
@classmethod
@convert_js_args_to_python_args
def _from_openapi_data(cls, data, *args, **kwargs): # noqa: E501
"""AccountsResponse - a model defined in OpenAPI
Args:
data (AccountsResponseData):
Keyword Args:
_check_type (bool): if True, values for parameters in openapi_types
will be type checked and a TypeError will be
raised if the wrong type is input.
Defaults to True
_path_to_item (tuple/list): This is a list of keys or values to
drill down to the model in received_data
when deserializing a response
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_configuration (Configuration): the instance to use when
deserializing a file_type parameter.
If passed, type conversion is attempted
If omitted no type conversion is done.
_visited_composed_classes (tuple): This stores a tuple of
classes that we have traveled through so that
if we see that class again we will not use its
discriminator again.
When traveling through a discriminator, the
composed schema that is
is traveled through is added to this set.
For example if Animal has a discriminator
petType and we pass in "Dog", and the class Dog
allOf includes Animal, we move through Animal
once using the discriminator, and pick Dog.
Then in Dog, we will make an instance of the
Animal class but this time we won't travel
through its discriminator because we passed in
_visited_composed_classes = (Animal,)
"""
_check_type = kwargs.pop('_check_type', True)
_spec_property_naming = kwargs.pop('_spec_property_naming', False)
_path_to_item = kwargs.pop('_path_to_item', ())
_configuration = kwargs.pop('_configuration', None)
_visited_composed_classes = kwargs.pop('_visited_composed_classes', ())
self = super(OpenApiModel, cls).__new__(cls)
if args:
raise ApiTypeError(
"Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments."
% (
args,
self.__class__.__name__,
),
path_to_item=_path_to_item,
valid_classes=(self.__class__, ),
)
self._data_store = {}
self._check_type = _check_type
self._spec_property_naming = _spec_property_naming
self._path_to_item = _path_to_item
self._configuration = _configuration
self._visited_composed_classes = _visited_composed_classes + (
self.__class__, )
self.data = data
for var_name, var_value in kwargs.items():
if var_name not in self.attribute_map and \
self._configuration is not None and \
self._configuration.discard_unknown_keys and \
self.additional_properties_type is None:
# discard variable.
continue
setattr(self, var_name, var_value)
return self
required_properties = set([
'_data_store',
'_check_type',
'_spec_property_naming',
'_path_to_item',
'_configuration',
'_visited_composed_classes',
])
@convert_js_args_to_python_args
def __init__(self, data, *args, **kwargs): # noqa: E501
"""AccountsResponse - a model defined in OpenAPI
Args:
data (AccountsResponseData):
Keyword Args:
_check_type (bool): if True, values for parameters in openapi_types
will be type checked and a TypeError will be
raised if the wrong type is input.
Defaults to True
_path_to_item (tuple/list): This is a list of keys or values to
drill down to the model in received_data
when deserializing a response
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_configuration (Configuration): the instance to use when
deserializing a file_type parameter.
If passed, type conversion is attempted
If omitted no type conversion is done.
_visited_composed_classes (tuple): This stores a tuple of
classes that we have traveled through so that
if we see that class again we will not use its
discriminator again.
When traveling through a discriminator, the
composed schema that is
is traveled through is added to this set.
For example if Animal has a discriminator
petType and we pass in "Dog", and the class Dog
allOf includes Animal, we move through Animal
once using the discriminator, and pick Dog.
Then in Dog, we will make an instance of the
Animal class but this time we won't travel
through its discriminator because we passed in
_visited_composed_classes = (Animal,)
"""
_check_type = kwargs.pop('_check_type', True)
_spec_property_naming = kwargs.pop('_spec_property_naming', False)
_path_to_item = kwargs.pop('_path_to_item', ())
_configuration = kwargs.pop('_configuration', None)
_visited_composed_classes = kwargs.pop('_visited_composed_classes', ())
if args:
raise ApiTypeError(
"Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments."
% (
args,
self.__class__.__name__,
),
path_to_item=_path_to_item,
valid_classes=(self.__class__, ),
)
self._data_store = {}
self._check_type = _check_type
self._spec_property_naming = _spec_property_naming
self._path_to_item = _path_to_item
self._configuration = _configuration
self._visited_composed_classes = _visited_composed_classes + (
self.__class__, )
self.data = data
for var_name, var_value in kwargs.items():
if var_name not in self.attribute_map and \
self._configuration is not None and \
self._configuration.discard_unknown_keys and \
self.additional_properties_type is None:
# discard variable.
continue
setattr(self, var_name, var_value)
if var_name in self.read_only_vars:
raise ApiAttributeError(
f"`{var_name}` is a read-only attribute. Use `from_openapi_data` to instantiate "
f"class with read only attributes.")
| [
"[email protected]"
] | |
7caf461078f991bbcf206acdbbaa9a22473746a1 | c913c952cf4019d67f02bf1971917116da375c81 | /Data/OMIMresults/omimResults1080to1100.py | 0089d41eff4948e4c4d053e3541df062149e7619 | [] | no_license | jiangchb/OMIMscraping | 57afa5b2f8b7ca975e7459814e0410a872f71990 | 27d4ac8faea526b1c70937317caec064bed00a0a | refs/heads/master | 2022-03-14T21:35:56.102665 | 2019-11-22T15:48:48 | 2019-11-22T15:48:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 83,915 | py | omim = {'omim': {
'version': '1.0',
'searchResponse': {
'search': '*',
'expandedSearch': '*:*',
'parsedSearch': '+*:* ()',
'searchSuggestion': None,
'searchSpelling': None,
'filter': '',
'expandedFilter': None,
'fields': '',
'searchReport': None,
'totalResults': 7368,
'startIndex': 1080,
'endIndex': 1099,
'sort': '',
'operator': '',
'searchTime': 1.0,
'clinicalSynopsisList': [
{'clinicalSynopsis': {
'mimNumber': 119500,
'prefix': '#',
'preferredTitle': 'POPLITEAL PTERYGIUM SYNDROME; PPS',
'inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147}',
'headAndNeckEyes': 'Congenital ankyloblepharon filiforme {UMLS C1861543}',
'headAndNeckMouth': '''Lower lip pits {UMLS C1861544 HP:0000196};\nCleft lip {SNOMEDCT:80281008} {ICD10CM:Q36.9,Q36} {ICD9CM:749.1,749.10} {UMLS C0008924,C4321245 HP:0000204,HP:0410030} {HPO HP:0410030};\nCleft palate {SNOMEDCT:87979003,63567004} {ICD10CM:Q35.5,Q35,Q35.9} {ICD9CM:749.0,749.00} {UMLS C2981150,C0008925,C2240378 HP:0000175} {HPO HP:0000175 C0008925,C2981150};\nLower lip cysts {UMLS C1861545};\nSyngnathia {SNOMEDCT:403772000} {UMLS C0795898}''',
'genitourinaryExternalGenitaliaMale': '''Bifid scrotum {SNOMEDCT:236780002} {UMLS C0341787 HP:0000048} {HPO HP:0000048 C0341787};\nHypoplastic scrotum {SNOMEDCT:204912007} {UMLS C0431659 HP:0030276,HP:0000046} {HPO HP:0000046 C0431659}''',
'genitourinaryExternalGenitaliaFemale': 'Hypoplastic labia majora {SNOMEDCT:289469003} {UMLS C0566899 HP:0000059} {HPO HP:0000059 C0566899}',
'genitourinaryInternalGenitaliaMale': 'Cryptorchidism {SNOMEDCT:204878001} {ICD10CM:Q53.9} {ICD9CM:752.51} {UMLS C0010417 HP:0000028} {HPO HP:0000028 C0010417}',
'genitourinaryInternalGenitaliaFemale': '''Hypoplastic vagina {SNOMEDCT:253836009} {UMLS C0345309 HP:0008726} {HPO HP:0008726 C0345309,C1442988};\nHypoplastic uterus {SNOMEDCT:35850006} {ICD10CM:Q51.811} {ICD9CM:752.32} {UMLS C0266399 HP:0000013} {HPO HP:0000013 C0266399}''',
'skeletalSpine': 'Spina bifida occulta {SNOMEDCT:76916001} {ICD10CM:Q76.0} {ICD9CM:756.17} {UMLS C0080174 HP:0003298} {HPO HP:0003298 C0080174}',
'skeletalFeet': 'Talipes equinovarus {SNOMEDCT:397932003} {ICD10CM:Q66.89,Q66.0} {ICD9CM:754.51} {UMLS C0009081 HP:0001762} {HPO HP:0001762 C0009081}',
'skinNailsHairSkin': '''Popliteal pterygium {UMLS C3805420 HP:0009756} {HPO HP:0009756 C3805420};\nIntercrural pterygium {UMLS C3810471 HP:0009757} {HPO HP:0009757 C3810471};\nVariable skin syndactyly fingers and toes {UMLS C3805421};\nPyramidal skinfold of halluces {UMLS C3805422}''',
'skinNailsHairHair': 'Unusual distribution of pubic hair with extension to inner aspect of thigh {UMLS C3805423}',
'miscellaneous': '''Clinical variability {UMLS C1842176};\nIncidence of 1 in 300,000 {UMLS C3549578}''',
'molecularBasis': 'Caused by mutation in the interferon regulatory factor 6 gene (IRF6, {607199.0003})',
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': True,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': True,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': True,
'genitourinaryExternalGenitaliaMaleExists': True,
'genitourinaryExternalGenitaliaFemaleExists': True,
'genitourinaryInternalGenitaliaMaleExists': True,
'genitourinaryInternalGenitaliaFemaleExists': True,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': True,
'skeletalSkullExists': False,
'skeletalSpineExists': True,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': True,
'skinNailsHairExists': True,
'skinNailsHairSkinExists': True,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': True,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': True,
'molecularBasisExists': True,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 119530,
'prefix': '%',
'preferredTitle': 'OROFACIAL CLEFT 1; OFC1',
'inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147}',
'headAndNeckMouth': 'Nonsyndromic cleft lip with or without cleft palate {UMLS C1861538}',
'miscellaneous': '''Genetic heterogeneity, probably determined by major and minor genes, environmental factors, and developmental threshold {UMLS C1861540};\nDivided into isolated cases (75-80%), familial (10-15%), and syndromal (1-5%) {UMLS C1861541}''',
'molecularBasis': 'Caused by mutation in the homolog of the Drosophila muscle segment homeo box (MSX1, {142983.0004})',
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': False,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': True,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': False,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': True,
'molecularBasisExists': True,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 119540,
'prefix': '%',
'preferredTitle': 'CLEFT PALATE, ISOLATED; CPI',
'inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147}',
'headAndNeckMouth': 'Cleft palate, isolated {UMLS C1837218}',
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': False,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': True,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': False,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': False,
'molecularBasisExists': False,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 119550,
'prefix': '%',
'preferredTitle': 'SYNGNATHIA',
'oldFormat': {
'Mouth': 'Cleft palate {SNOMEDCT:87979003,63567004} {ICD10CM:Q35.5,Q35,Q35.9} {ICD9CM:749.0,749.00} {UMLS C2981150,C0008925,C2240378 HP:0000175} {HPO HP:0000175 C0008925,C2981150}; Lateral synechia; Cord-like adhesions between tongue and floor of mouth;',
'Inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147};'
} ,
'oldFormatExists': True,
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': False,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': True,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': False,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': False,
'molecularBasisExists': False,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 119570,
'preferredTitle': 'CLEFT SOFT PALATE',
'oldFormat': {
'Mouth': 'Cleft soft palate {SNOMEDCT:253997002} {ICD10CM:Q35.3} {UMLS C0432098 HP:0000185} {HPO HP:0000185 C0432098};',
'Inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147};'
} ,
'oldFormatExists': True,
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': False,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': True,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': False,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': False,
'molecularBasisExists': False,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 119580,
'prefix': '#',
'preferredTitle': 'BLEPHAROCHEILODONTIC SYNDROME 1; BCDS1',
'inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147}',
'headAndNeckFace': '''Flat face {UMLS C1853241 HP:0012368} {HPO HP:0012368 C1853241} {EOM ID:e19b32be420aa391 IMG:Face,Flat-small.jpg};\nHigh forehead {UMLS C0239676 HP:0000348} {HPO HP:0000348 C0239676,C2677762} {EOM ID:f635aa5bd991cae4 IMG:Hairline,High_Anterior-small.jpg};\nAsymmetric face (in some patients) {UMLS C4538387};\nHigh anterior hairline (in some patients) {UMLS C4538388} {HPO HP:0009890 C3276036} {EOM ID:f635aa5bd991cae4 IMG:Hairline,High_Anterior-small.jpg}''',
'headAndNeckEyes': '''Hypertelorism {SNOMEDCT:22006008} {ICD10CM:Q75.2} {ICD9CM:376.41} {UMLS C0020534 HP:0000316} {HPO HP:0000316 C0020534} {EOM ID:71d9f1be67c7f8b6 IMG:Eyes,Widely_Spaced-small.jpg};\nEctropion of lower eyelids {SNOMEDCT:95758006} {UMLS C0521736 HP:0007651} {HPO HP:0007651 C0521736,C4020808};\nLagophthalmia (incomplete closure of eyelids) {SNOMEDCT:60735000} {ICD10CM:H02.20,H02.2} {ICD9CM:374.2,374.20} {UMLS C0152226};\nMegaloblepharon {UMLS C4538389};\nDistichiasis (double row of eyelashes) {SNOMEDCT:95339000} {UMLS C0423848 HP:0008496,HP:0009743} {HPO HP:0009743 C0423848}''',
'headAndNeckNose': 'Choanal atresia (rare) {UMLS C4315078} {HPO HP:0000453 C0008297}',
'headAndNeckMouth': 'Cleft lip and/or palate {UMLS C3279262}',
'headAndNeckTeeth': '''Conical teeth {SNOMEDCT:29553002} {UMLS C0266037 HP:0000698} {HPO HP:0000698 C0266037,C4012359};\nHypodontia {SNOMEDCT:64969001} {ICD10CM:K00.0} {UMLS C0020608 HP:0000668} {HPO HP:0000668 C0020608};\nDelayed dentition (rare) {UMLS C3549588}''',
'abdomenGastrointestinal': 'Imperforate anus (in some patients) {UMLS C3279691} {HPO HP:0002023 C0003466}',
'skeletalHands': '''Clinodactyly {SNOMEDCT:17268007} {UMLS C4551485,C0265610 HP:0030084,HP:0040019} {HPO HP:0030084 C0265610,C4280304} {EOM ID:483af428f909c76c IMG:Clinodactyly-small.jpg};\nSyndactyly, cutaneous (in some patients) {UMLS C3280633} {HPO HP:0012725 C1861921}''',
'skinNailsHairNails': 'Hypoplastic nails {SNOMEDCT:11375002} {UMLS C0263523 HP:0001792} {HPO HP:0001792 C0263523}',
'skinNailsHairHair': '''Distichiasis {SNOMEDCT:95339000} {UMLS C0423848 HP:0008496,HP:0009743} {HPO HP:0009743 C0423848};\nSparse hair {SNOMEDCT:53602002} {UMLS C0020678,C1837770 HP:0008070} {HPO HP:0008070 C1837770,C1860844}''',
'neurologicCentralNervousSystem': 'Neural tube defect (uncommon) {UMLS C4538384} {HPO HP:0045005 C0027794}',
'endocrineFeatures': 'Thyroid hypoplasia or agenesis (uncommon) {UMLS C4538383}',
'miscellaneous': 'Incomplete penetrance observed in some families {UMLS C4538386}',
'molecularBasis': 'Caused by mutation in the cadherin 1 gene (CDH1, {192090.0024})',
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': True,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': True,
'headAndNeckNoseExists': True,
'headAndNeckMouthExists': True,
'headAndNeckTeethExists': True,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': True,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': True,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': True,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': True,
'skeletalFeetExists': False,
'skinNailsHairExists': True,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': True,
'skinNailsHairHairExists': True,
'muscleSoftTissueExists': False,
'neurologicExists': True,
'neurologicCentralNervousSystemExists': True,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': True,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': True,
'molecularBasisExists': True,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 119600,
'prefix': '#',
'preferredTitle': 'CLEIDOCRANIAL DYSPLASIA; CCD',
'inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147}',
'growthHeight': 'Short stature, moderate {UMLS C1861519 HP:0008848} {HPO HP:0008848 C1861519}',
'headAndNeckHead': '''Delayed fontanelle closure {SNOMEDCT:82779003} {UMLS C0277828 HP:0000270} {HPO HP:0000270 C0277828};\nParietal bossing {UMLS C1857126 HP:0000242} {HPO HP:0000242 C1857126};\nAnterior fontanelle open in adults {UMLS C1849537 HP:0004474} {HPO HP:0004474 C1849537}''',
'headAndNeckFace': '''Frontal bossing {SNOMEDCT:90145001} {UMLS C0221354 HP:0002007} {HPO HP:0002007 C0221354} {EOM ID:a223995bdef3e8d6 IMG:Frontal_Bossing-small.jpg};\nMetopic groove {UMLS C1861521};\nMidface hypoplasia {UMLS C1853242 HP:0011800} {HPO HP:0011800 C1853242,C2673410,C4280320,C4280321} {EOM ID:5b7ad34ab35682b5 IMG:Midface_Retrusion-small.jpg};\nMicrognathia {SNOMEDCT:32958008} {UMLS C0025990 HP:0000347} {HPO HP:0000347 C0025990,C0240295,C1857130} {EOM ID:8bbf61b4ad7ca2ef IMG:Micrognathia-small.jpg}''',
'headAndNeckEars': 'Deafness {SNOMEDCT:343087000} {ICD10CM:H91.9} {UMLS C0018772,C0011053 HP:0000365} {HPO HP:0000365 C0011053,C0018772,C0339789,C1384666}',
'headAndNeckEyes': 'Hypertelorism {SNOMEDCT:22006008} {ICD10CM:Q75.2} {ICD9CM:376.41} {UMLS C0020534 HP:0000316} {HPO HP:0000316 C0020534} {EOM ID:71d9f1be67c7f8b6 IMG:Eyes,Widely_Spaced-small.jpg}',
'headAndNeckNose': 'Low nasal bridge {UMLS C1836542 HP:0005280} {HPO HP:0005280 C1836542,C3550546,C4280495} {EOM ID:000fb29123c16757 IMG:Nasal_Bridge,Depressed-small.jpg}',
'headAndNeckMouth': '''Cleft palate {SNOMEDCT:87979003,63567004} {ICD10CM:Q35.5,Q35,Q35.9} {ICD9CM:749.0,749.00} {UMLS C2981150,C0008925,C2240378 HP:0000175} {HPO HP:0000175 C0008925,C2981150};\nNarrow, high-arched palate {UMLS C1837404 HP:0002705} {HPO HP:0002705 C1837404}''',
'headAndNeckTeeth': '''Delayed eruption of deciduous teeth {UMLS C1849538 HP:0000680} {HPO HP:0000680 C1849538};\nDelayed eruption of permanent teeth {UMLS C1849540 HP:0000696} {HPO HP:0000696 C1849540};\nSupernumerary teeth {SNOMEDCT:367534004,8666004,266414008} {ICD10CM:K00.1} {ICD9CM:520.1} {UMLS C0040457 HP:0011067,HP:0011069} {HPO HP:0011069 C0040457} {EOM ID:60888cccac8e54b6 IMG:Tooth,Supernumerary-small.jpg};\nRetention cysts {SNOMEDCT:367645008} {UMLS C0035281};\nEnamel hypoplasia {SNOMEDCT:26597004,699421005,699382004} {UMLS C0011351 HP:0006297} {HPO HP:0006297 C0011351,C1851854,C4280456,C4280457}''',
'respiratoryAirways': 'Respiratory distress in early infancy {UMLS C1861533}',
'chestExternalFeatures': '''Narrow thorax {SNOMEDCT:249671009} {UMLS C0426790 HP:0000774} {HPO HP:0000774 C0426790};\nAbnormal facility in opposing the shoulders {UMLS C1861517 HP:0005259} {HPO HP:0005259 C1861517}''',
'chestRibsSternumClaviclesAndScapulae': '''Small scapula {SNOMEDCT:298759002} {UMLS C1846434,C0575530 HP:0000882} {HPO HP:0000882 C1846434};\nHypoplastic clavicles {SNOMEDCT:93250003} {UMLS C0426799 HP:0000894} {HPO HP:0000894 C0426799};\nAplastic clavicles {UMLS C1857665 HP:0006660} {HPO HP:0006660 C1857665};\nShort ribs {SNOMEDCT:249696007} {UMLS C0426817 HP:0000773} {HPO HP:0000773 C0426817};\nCervical ribs {SNOMEDCT:72535009} {ICD10CM:Q76.5} {ICD9CM:756.2} {UMLS C0158779 HP:0000891} {HPO HP:0000891 C0158779}''',
'skeletal': '''Osteosclerosis {SNOMEDCT:49347007} {ICD10CM:Q78.2} {UMLS C0029464 HP:0011001} {HPO HP:0011001 C0029464};\nIncreased bone fragility {UMLS C1390474 HP:0002659} {HPO HP:0002659 C1390474}''',
'skeletalSkull': '''Wormian bones {SNOMEDCT:113194005} {UMLS C0222716 HP:0002645} {HPO HP:0002645 C0222716};\nBossing of frontal bone {UMLS C1861524};\nBossing of occipital bone {UMLS C1861525};\nBossing of parietal bone {UMLS C1857126 HP:0000242} {HPO HP:0000242 C1857126};\nCalvarial thickening {UMLS C1858452 HP:0002684} {HPO HP:0002684 C1858452,C4280560};\nAbsent frontal sinuses {UMLS C1855669 HP:0002688} {HPO HP:0002688 C1855669,C4280559};\nAbsent paranasal sinuses {UMLS C1857131 HP:0002689} {HPO HP:0002689 C1857131,C3804986,C4072844};\nHypoplastic frontal sinuses {UMLS C1859682 HP:0002738} {HPO HP:0002738 C1859682,C4280548,C4280549};\nHypoplastic paranasal sinuses {UMLS C1861527};\nLarge foramen magnum {UMLS C1844508 HP:0002700} {HPO HP:0002700 C1844508,C4073291,C4280554,C4280555}''',
'skeletalSpine': '''Spondylolysis {SNOMEDCT:240221008} {ICD10CM:M43.0,M43.00} {UMLS C0038018 HP:0003304} {HPO HP:0003304 C0038018};\nSpondylolisthesis {SNOMEDCT:274152003,13236000,203681002} {ICD10CM:M43.1,M43.10,Q76.2} {ICD9CM:738.4,756.12} {UMLS C0038017,C0038016,C2242765 HP:0003302} {HPO HP:0003302 C0038016};\nScoliosis {SNOMEDCT:298382003,20944008,111266001} {ICD10CM:Q67.5,M41,M41.9} {UMLS C0559260,C0036439,C4552773,C0700208 HP:0002650} {HPO HP:0002650 C0037932,C0700208};\nKyphosis {SNOMEDCT:71311003,413428007,414564002} {ICD10CM:M40.20,Q76.41} {ICD9CM:737.1} {UMLS C0022822,C0022821,C2115817,C0265673,C4552747 HP:0002808} {HPO HP:0002808 C0022821,C1845112}''',
'skeletalPelvis': '''Wide pubic symphysis {UMLS C1857190 HP:0003183} {HPO HP:0003183 C1857190};\nDelayed mineralization of pubic bone {UMLS C1861528 HP:0008788} {HPO HP:0008788 C1861528,C1866710,C4280411};\nBroad femoral head with short femoral neck {UMLS C1861529};\nCoxa vara {SNOMEDCT:74820003,12067001} {ICD10CM:Q65.82} {ICD9CM:736.32,755.62} {UMLS C0152431,C0158481,C0239138 HP:0002812} {HPO HP:0002812 C0239138};\nHypoplastic iliac wing {UMLS C1865027 HP:0002866} {HPO HP:0002866 C1865027}''',
'skeletalHands': '''Brachydactyly {SNOMEDCT:43476002} {UMLS C0221357 HP:0001156} {HPO HP:0001156 C0221357};\nLong second metacarpal {UMLS C1861531 HP:0006040} {HPO HP:0006040 C1861531};\nShort middle phalanges of second and fifth fingers {UMLS C1861532};\nCone-shaped phalangeal epiphyses {UMLS C1859480 HP:0010230} {HPO HP:0010230 C1859480}''',
'neurologicPeripheralNervousSystem': 'Syringomyelia {SNOMEDCT:111496009,192894009} {ICD10CM:G95.0} {ICD9CM:336.0} {UMLS C0039144,C0039145 HP:0003396} {HPO HP:0003396 C0039144}',
'miscellaneous': 'One third of patients represent new mutations {UMLS C1861535}',
'molecularBasis': 'Caused by mutation in the runt-related transcription factor 2 gene (RUNX2, {600211.0001})',
'inheritanceExists': True,
'growthExists': True,
'growthHeightExists': True,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': True,
'headAndNeckFaceExists': True,
'headAndNeckEarsExists': True,
'headAndNeckEyesExists': True,
'headAndNeckNoseExists': True,
'headAndNeckMouthExists': True,
'headAndNeckTeethExists': True,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': True,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': True,
'respiratoryLungExists': False,
'chestExists': True,
'chestExternalFeaturesExists': True,
'chestRibsSternumClaviclesAndScapulaeExists': True,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': True,
'skeletalSkullExists': True,
'skeletalSpineExists': True,
'skeletalPelvisExists': True,
'skeletalLimbsExists': False,
'skeletalHandsExists': True,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': True,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': True,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': True,
'molecularBasisExists': True,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 119650,
'preferredTitle': 'CLEIDORHIZOMELIC SYNDROME',
'oldFormat': {
'Growth': 'Rhizomelic short stature {UMLS C1866730 HP:0008905} {HPO HP:0008905 C1866730};',
'Thorax': 'Lateral clavicular defects;',
'Joints': 'Abnormal acromioclavicular joints;',
'Limbs': 'Fifth finger clinodactyly {UMLS C1850049 HP:0004209} {HPO HP:0004209 C1850049,C4280538}; Hypoplastic fifth finger middle phalanx {UMLS C1834060 HP:0004220} {HPO HP:0004220 C1834060};',
'Radiology': 'Bifid lateral third of clavicles;',
'Inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147};'
} ,
'oldFormatExists': True,
'inheritanceExists': True,
'growthExists': True,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': False,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': False,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': False,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': True,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': True,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': True,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': False,
'molecularBasisExists': False,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 119800,
'prefix': '#',
'preferredTitle': 'CLUBFOOT, CONGENITAL, WITH OR WITHOUT DEFICIENCY OF LONG BONES AND/OR MIRROR-IMAGE POLYDACTYLY; CCF',
'inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147}',
'skeletalLimbs': '''Tibial hemimelia (in some patients) {UMLS C3549589};\nPatellar hypoplasia, bilateral (in some patients) {UMLS C3549590} {HPO HP:0003065 C1840068};\nNo anomalies of upper limbs {UMLS C3549591}''',
'skeletalFeet': '''Talipes equinovarus (clubfoot) {SNOMEDCT:397932003} {ICD10CM:Q66.89,Q66.0} {ICD9CM:754.51} {UMLS C0009081 HP:0001762} {HPO HP:0001762 C0009081};\nOblique talus (in some patients) {UMLS C3549592};\nPreaxial mirror-image polydactyly (in some patients) {UMLS C3549593}''',
'miscellaneous': '''Clubfoot is bilateral in most patients {UMLS C3549595};\nIncomplete penetrance {UMLS C1836598 HP:0003829} {HPO HP:0003829 C1836598}''',
'molecularBasis': 'Caused by mutation in the paired-like homeodomain transcription factor-1 gene (PITX1, {602149.0001})',
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': False,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': False,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': False,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': True,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': True,
'skeletalHandsExists': False,
'skeletalFeetExists': True,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': True,
'molecularBasisExists': True,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 119900,
'prefix': '#',
'preferredTitle': 'DIGITAL CLUBBING, ISOLATED CONGENITAL',
'inheritance': 'Autosomal recessive {SNOMEDCT:258211005} {UMLS C0441748 HP:0000007} {HPO HP:0000007 C0441748,C4020899}',
'skeletalHands': '''Digital clubbing {SNOMEDCT:30760008,367004} {ICD10CM:R68.3} {ICD9CM:781.5} {UMLS C0149651,C0009080 HP:0001217,HP:0100759} {HPO HP:0001217 C0149651};\nAcropachy {SNOMEDCT:239055005,203357004} {ICD10CM:M89.4} {ICD9CM:731.2} {UMLS C0029412,C0345408}''',
'skeletalFeet': 'Digital clubbing (in some patients) {UMLS C4478174} {HPO HP:0001217 C0149651}',
'skinNailsHairNails': 'Incurved nails {UMLS C4478175}',
'molecularBasis': 'Caused by mutation in the hydroxyprostaglandin dehydrogenase 15-(NAD) gene (HPGD, {119900.0004})',
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': False,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': False,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': False,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': True,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': True,
'skeletalFeetExists': True,
'skinNailsHairExists': True,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': True,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': False,
'molecularBasisExists': True,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 119915,
'prefix': '%',
'preferredTitle': 'CLUSTER HEADACHE, FAMILIAL',
'inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147}',
'headAndNeckFace': '''Facial sweating ipsilateral {UMLS C2675803};\nForehead sweating, ipsilateral {UMLS C2675804}''',
'headAndNeckEyes': '''Eyelid edema, ipsilateral {UMLS C2675805};\nConjunctival injection, ipsilateral {UMLS C2675806};\nLacrimation, ipsilateral {UMLS C2675807};\nMiosis, ipsilateral {UMLS C2675808};\nPtosis, ipsilateral {UMLS C2675809}''',
'respiratoryNasopharynx': '''Nasal congestion, ipsilateral {UMLS C2675810};\nRhinorrhea, ipsilateral {UMLS C2675811}''',
'neurologicCentralNervousSystem': '''Headaches, severe, unilateral {UMLS C2675799} {HPO HP:0002315 C0018681};\nPain (sharp, boring, drilling, piercing) {UMLS C2675800} {HPO HP:0012531 C0030193};\nEpisodic subtype, headaches occur in clusters {UMLS C2675801};\nChronic subtype, headaches occur without remission for 1 year {UMLS C2675802}''',
'neurologicBehavioralPsychiatricManifestations': '''Agitation {SNOMEDCT:24199005} {UMLS C0085631,C1963060,C4552855 HP:0000713} {HPO HP:0000713 C0085631};\nRestlessness {SNOMEDCT:47295007,162221009,24199005} {UMLS C3887612,C4551939,C3887611,C0085631 HP:0000711,HP:0000713} {HPO HP:0000711 C3887611};\nExhaustion {SNOMEDCT:60119000} {UMLS C0392674}''',
'miscellaneous': '''Onset 10-20 years of age {UMLS C2675812};\nAutosomal recessive inheritance has been suggested {UMLS C2675813};\nTwo subtypes, episodic (85% of patients) and chronic (15%) {UMLS C2675814};\nAutonomic symptoms occur with headaches {UMLS C2675815}''',
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': True,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': True,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': False,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': True,
'respiratoryNasopharynxExists': True,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': False,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': True,
'neurologicCentralNervousSystemExists': True,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': True,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': True,
'molecularBasisExists': False,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 120000,
'preferredTitle': 'COARCTATION OF AORTA',
'oldFormat': {
'Cardiac': 'Coarctation of aorta {SNOMEDCT:7305005} {ICD10CM:Q25.1} {ICD9CM:747.1,747.10} {UMLS C0003492 HP:0001680} {HPO HP:0001680 C0003492}; Congenital heart defect {SNOMEDCT:13213009} {ICD10CM:Q24.9} {ICD9CM:746.9} {UMLS C0018798 HP:0001627,HP:0030680} {HPO HP:0001627 C0018798,C0152021}; Hypoplastic left heart {SNOMEDCT:62067003} {ICD10CM:Q23.4} {ICD9CM:746.7} {UMLS C0152101 HP:0004383} {HPO HP:0004383 C0152101}; Narrow aortic isthmus;',
'Inheritance': 'Most likely multifactorial; ? autosomal dominant;'
} ,
'oldFormatExists': True,
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': False,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': False,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': False,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': True,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': False,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': False,
'molecularBasisExists': False,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 120040,
'preferredTitle': 'COCHLEOSACCULAR DEGENERATION WITH PROGRESSIVE CATARACTS',
'oldFormat': {
'Ears': 'Congenital deafness {SNOMEDCT:95828007} {ICD10CM:H90.5} {UMLS C0339789 HP:0000365} {HPO HP:0000365 C0011053,C0018772,C0339789,C1384666}; Cochleosaccular dysplasia of inner ear;',
'Eyes': 'Progressive cataracts;',
'Neuro': 'Staggering gait {SNOMEDCT:78691002} {ICD10CM:R26.0} {UMLS C0701824,C0231690 HP:0030187};',
'Inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147};'
} ,
'oldFormatExists': True,
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': True,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': False,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': False,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': True,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': False,
'molecularBasisExists': False,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 120100,
'prefix': '#',
'preferredTitle': 'FAMILIAL COLD AUTOINFLAMMATORY SYNDROME 1; FCAS1',
'inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147}',
'headAndNeckEyes': 'Conjunctivitis {SNOMEDCT:9826008} {ICD10CM:H10,H10.9} {ICD9CM:372.30} {UMLS C4553305,C0009763 HP:0000509} {HPO HP:0000509 C0009763,C1864156}',
'genitourinaryKidneys': 'Renal amyloidosis, late-onset (uncommon) {UMLS C2675792}',
'skeletal': 'Arthralgia, episodic {UMLS C2674038} {HPO HP:0002829 C0003862}',
'skinNailsHairSkin': '''Maculopapular rash, episodic {UMLS C2674040};\nRash may or may not be pruritic {UMLS C2674041}''',
'muscleSoftTissue': '''Myalgia, episodic {UMLS C2674035} {HPO HP:0003326 C0231528};\nSwelling of the extremities, episodic {UMLS C2675793}''',
'neurologicCentralNervousSystem': 'Headache, episodic {UMLS C2675791} {HPO HP:0002315 C0018681}',
'metabolicFeatures': 'Fever, episodic {SNOMEDCT:77957000} {UMLS C0277799 HP:0001954} {HPO HP:0001945 C0015967}',
'laboratoryAbnormalities': '''Polymorphonuclear leukocytosis, episodic {UMLS C2674036};\nIncreased serum C-reactive protein, episodic {UMLS C2675794}''',
'miscellaneous': '''Onset in infancy or early childhood {UMLS C1837138};\nEpisodes occur 30 minutes to 3 hours after exposure to cold {UMLS C2675796};\nEpisodes usually last 1 to 2 days {UMLS C2675797};\nSee also Muckle-Wells syndrome ({191900}), an allelic disorder with overlapping features''',
'molecularBasis': 'Caused by mutation in the NLR family, pyrin-domain containing 3 gene (NLRP3, {606416.0001})',
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': True,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': False,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': True,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': True,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': True,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': True,
'skinNailsHairSkinExists': True,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': True,
'neurologicExists': True,
'neurologicCentralNervousSystemExists': True,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': True,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': True,
'miscellaneousExists': True,
'molecularBasisExists': True,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 120200,
'prefix': '#',
'preferredTitle': 'COLOBOMA, OCULAR, AUTOSOMAL DOMINANT',
'oldFormat': {
'Eyes': 'Coloboma of iris, choroid and retina {SNOMEDCT:93390002} {ICD10CM:Q13.0} {UMLS C0009363 HP:0000589};',
'Inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147};'
} ,
'oldFormatExists': True,
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': True,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': False,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': False,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': False,
'molecularBasisExists': False,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 120300,
'prefix': '%',
'preferredTitle': 'COLOBOMA OF MACULA',
'oldFormat': {
'Eyes': 'Agenesis of macula {SNOMEDCT:737579002} {UMLS C1852767 HP:0001116}; Coloboma of macula {SNOMEDCT:737579002} {UMLS C1852767 HP:0001116};',
'Inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147};'
} ,
'oldFormatExists': True,
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': True,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': False,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': False,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': False,
'molecularBasisExists': False,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 120330,
'prefix': '#',
'preferredTitle': 'PAPILLORENAL SYNDROME; PAPRS',
'inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147}',
'headAndNeckEars': 'Sensorineural hearing loss (rare) {UMLS C3805430} {HPO HP:0000407 C0018784}',
'headAndNeckEyes': '''Retinal coloboma {SNOMEDCT:204173008,39302008} {ICD10CM:Q14.8} {ICD9CM:743.52} {UMLS C0240896,C3540764 HP:0000567,HP:0000480} {HPO HP:0000480 C0240896};\nOptic nerve coloboma {SNOMEDCT:44295002} {ICD10CM:Q14.2,H47.31,H47.319} {ICD9CM:377.23} {UMLS C0155299 HP:0000588} {HPO HP:0000588 C0155299};\nOptic disc dysplasia {SNOMEDCT:722604002} {UMLS C1846467};\nExcavation of optic disc (pits) {UMLS C3549614};\nOptic disc hyperplasia {UMLS C3549615};\nMorning glory optic disc {UMLS C3554721 HP:0025514} {HPO HP:0025514};\nHypoplastic optic disc {SNOMEDCT:373650004} {UMLS C1298695 HP:0007766};\nOrbital cysts {SNOMEDCT:31021007} {ICD10CM:H05.81} {ICD9CM:376.81} {UMLS C0155285 HP:0001144} {HPO HP:0001144 C0155285};\nMicrophthalmia {SNOMEDCT:61142002,204108000} {ICD10CM:Q11.2} {ICD9CM:743.1,743.11,743.10} {UMLS C0026010 HP:0000568} {HPO HP:0000568 C0026010,C4280625,C4280808};\nGliosis of optic nerve {UMLS C3549617};\nAbsent optic nerve head {UMLS C3549618};\nAbnormal retinal pigment epithelium {UMLS C3549619};\nAbnormal retinal vessels {UMLS C3549620};\nChorioretinal degeneration {SNOMEDCT:247177004} {UMLS C0521683 HP:0200065} {HPO HP:0200065 C0521683};\nRetinal detachment (rare) {UMLS C3549621} {HPO HP:0000541 C0035305};\nRetinal staphyloma (rare) {UMLS C3549622};\nRetinal edema (rare) {UMLS C3549623};\nMacular degeneration (rare) {UMLS C3549624} {HPO HP:0000608 C0024437};\nPapillomacular detachment (rare) {UMLS C3549625};\nHyperpigmentation of the macula (rare) {UMLS C3549626};\nCystic degeneration of the macula (rare) {UMLS C3549627};\nPosterior lens luxation (rare) {UMLS C3549628};\nLens opacity (rare) {UMLS C3549629} {HPO HP:0000518 C0086543,C1510497}''',
'genitourinaryKidneys': '''Congenital anomalies of the kidney and urinary tract (CAKUT) {UMLS C1968949};\nRenal hypoplasia {SNOMEDCT:32659003} {ICD10CM:Q60.5} {UMLS C0266295 HP:0000089} {HPO HP:0000089 C0266295};\nEnd stage renal failure {SNOMEDCT:90688005,433146000,46177005} {ICD10CM:N18.9,N18.6,N18.5} {ICD9CM:585.6} {UMLS C0022661,C2316810 HP:0003774} {HPO HP:0003774 C2316810};\nRenal cysts {SNOMEDCT:722223000} {UMLS C3887499 HP:0000107} {HPO HP:0000107 C0022679,C3887499};\nMulticystic dysplastic kidneys {SNOMEDCT:82525005,737562008} {ICD10CM:Q61.4} {UMLS C3714581 HP:0000003};\nMedullary sponge kidney (rare) {UMLS C3549606};\nHorseshoe kidney (rare) {UMLS C3549607} {HPO HP:0000085 C0221353};\nNephrolithiasis (rare) {UMLS C3549608} {HPO HP:0000787 C0392525};\nRenal malrotation (rare) {UMLS C3549609} {HPO HP:0004712 C0238210};\nAnomalous renal pelvis (rare) {UMLS C3549610}''',
'genitourinaryUreters': '''Vesicoureteral reflux {SNOMEDCT:197811007} {ICD10CM:N13.7,N13.70} {ICD9CM:593.7} {UMLS C0042580 HP:0000076} {HPO HP:0000076 C0042580};\nPyeloureteral duplication (rare) {UMLS C3549611}''',
'skeletal': 'Joint laxity {SNOMEDCT:298203008} {UMLS C0086437 HP:0001388} {HPO HP:0001388 C0086437,C0158359}',
'skinNailsHairSkin': '''Hyperextensible skin {UMLS C0241074 HP:0000974} {HPO HP:0000974 C0241074};\nSoft skin {UMLS C1844592 HP:0000977} {HPO HP:0000977 C0241178,C1844592}''',
'neurologicCentralNervousSystem': '''Normal intelligence {SNOMEDCT:26941006} {UMLS C0423900};\nMental retardation (one patient) {UMLS C1852760} {HPO HP:0001249 C0025362,C0423903,C0917816,C1843367,C3714756,C4020876};\nSeizure disorder {SNOMEDCT:84757009,128613002} {ICD10CM:G40.9,G40.909} {ICD9CM:345.9} {UMLS C0014544 HP:0001250};\nArnold Chiari type I malformation {SNOMEDCT:253185002} {UMLS C0750929 HP:0007099} {HPO HP:0007099 C0750929}''',
'laboratoryAbnormalities': 'Proteinuria {SNOMEDCT:29738008,231860006} {ICD10CM:R80,R80.9} {ICD9CM:791.0} {UMLS C4554346,C1279888,C0033687,C1962972 HP:0000093} {HPO HP:0000093 C0033687}',
'miscellaneous': '''Onset in infancy {UMLS C1848924 HP:0003593} {HPO HP:0003593 C1848924};\nVariable phenotype {UMLS C1837514 HP:0003812} {HPO HP:0003812 C1837514,C1839039,C1850667,C1866210};\nOcular abnormalities may be very mild {UMLS C3805429};\nEnd-stage renal disease (CKD Stage 5) requiring kidney transplantation is commonly reported {UMLS C3549613}''',
'molecularBasis': 'Caused by mutation in the paired box homeotic gene 2 (PAX2, {167409.0001})',
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': True,
'headAndNeckEyesExists': True,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': False,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': True,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': True,
'genitourinaryUretersExists': True,
'genitourinaryBladderExists': False,
'skeletalExists': True,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': True,
'skinNailsHairSkinExists': True,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': True,
'neurologicCentralNervousSystemExists': True,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': True,
'miscellaneousExists': True,
'molecularBasisExists': True,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 120400,
'preferredTitle': 'COLOBOMA OF MACULA WITH TYPE B BRACHYDACTYLY',
'oldFormat': {
'Eyes': 'Coloboma of macula {SNOMEDCT:737579002} {UMLS C1852767 HP:0001116};',
'Limbs': 'Type B brachydactyly {UMLS C1862112 HP:0005831} {HPO HP:0005831 C1862112}; Absent distal phalanx; Broad or bifid thumb distal phalanx;',
'GU': 'Renal agenesis {SNOMEDCT:41962002,204942005,204938007} {ICD10CM:Q60,Q60.1,Q60.2} {ICD9CM:753.0} {UMLS C1609433,C0158699,C0542519 HP:0000104,HP:0010958} {HPO HP:0000104 C0542519};',
'Inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147};'
} ,
'oldFormatExists': True,
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': True,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': False,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': True,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': True,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': True,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': False,
'molecularBasisExists': False,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 120430,
'prefix': '#',
'preferredTitle': 'COLOBOMA OF OPTIC NERVE',
'oldFormat': {
'Eyes': 'Bilateral coloboma of optic nerve; Retinal detachment {SNOMEDCT:42059000} {ICD10CM:H33.2} {ICD9CM:361.9} {UMLS C1963229,C4552652,C0035305 HP:0000541} {HPO HP:0000541 C0035305};',
'Inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147}; ? same as 120200;'
} ,
'oldFormatExists': True,
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': False,
'headAndNeckEyesExists': True,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': False,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': False,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': False,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': False,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': False,
'neurologicCentralNervousSystemExists': False,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': False,
'molecularBasisExists': False,
'matches': ''
} },
{'clinicalSynopsis': {
'mimNumber': 120433,
'prefix': '#',
'preferredTitle': 'COLOBOMA, OCULAR, WITH OR WITHOUT HEARING IMPAIRMENT, CLEFT LIP/PALATE, AND/OR MENTAL RETARDATION; COB1',
'inheritance': 'Autosomal dominant {SNOMEDCT:263681008} {UMLS C0443147 HP:0000006} {HPO HP:0000006 C0443147}',
'headAndNeckEars': 'Hearing loss, sensorineural, mid-frequency (in some patients) {UMLS C3805435}',
'headAndNeckEyes': '''Uveal coloboma {UMLS C3810479};\nMicrophthalmia (in some patients) {UMLS C3279369} {HPO HP:0000568 C0026010,C4280625,C4280808};\nImpairment of extraocular movement (in some patients) {UMLS C3805436};\nCataract (in some patients) {UMLS C3275329} {HPO HP:0000518 C0086543,C1510497};\nPtosis (rare) {UMLS C1848468} {HPO HP:0000508 C0005745} {EOM ID:1bd157b764ec7aea IMG:Ptosis-small.jpg}''',
'headAndNeckMouth': '''Cleft lip (in some patients) {UMLS C3549747} {HPO HP:0410030};\nCleft palate (in some patients) {UMLS C3275332} {HPO HP:0000175 C0008925,C2981150}''',
'genitourinaryKidneys': 'Hematuria (in some patients) {UMLS C3805433} {HPO HP:0000790 C0018965}',
'neurologicCentralNervousSystem': 'Mental retardation (in some patients) {UMLS C1968646} {HPO HP:0001249 C0025362,C0423903,C0917816,C1843367,C3714756,C4020876}',
'molecularBasis': 'Caused by mutation in the 65-kd YES-associated protein-1 gene (YAP1, {606608.0001})',
'inheritanceExists': True,
'growthExists': False,
'growthHeightExists': False,
'growthWeightExists': False,
'growthOtherExists': False,
'headAndNeckExists': True,
'headAndNeckHeadExists': False,
'headAndNeckFaceExists': False,
'headAndNeckEarsExists': True,
'headAndNeckEyesExists': True,
'headAndNeckNoseExists': False,
'headAndNeckMouthExists': True,
'headAndNeckTeethExists': False,
'headAndNeckNeckExists': False,
'cardiovascularExists': False,
'cardiovascularHeartExists': False,
'cardiovascularVascularExists': False,
'respiratoryExists': False,
'respiratoryNasopharynxExists': False,
'respiratoryLarynxExists': False,
'respiratoryAirwaysExists': False,
'respiratoryLungExists': False,
'chestExists': False,
'chestExternalFeaturesExists': False,
'chestRibsSternumClaviclesAndScapulaeExists': False,
'chestBreastsExists': False,
'chestDiaphragmExists': False,
'abdomenExists': False,
'abdomenExternalFeaturesExists': False,
'abdomenLiverExists': False,
'abdomenPancreasExists': False,
'abdomenBiliaryTractExists': False,
'abdomenSpleenExists': False,
'abdomenGastrointestinalExists': False,
'genitourinaryExists': True,
'genitourinaryExternalGenitaliaMaleExists': False,
'genitourinaryExternalGenitaliaFemaleExists': False,
'genitourinaryInternalGenitaliaMaleExists': False,
'genitourinaryInternalGenitaliaFemaleExists': False,
'genitourinaryKidneysExists': True,
'genitourinaryUretersExists': False,
'genitourinaryBladderExists': False,
'skeletalExists': False,
'skeletalSkullExists': False,
'skeletalSpineExists': False,
'skeletalPelvisExists': False,
'skeletalLimbsExists': False,
'skeletalHandsExists': False,
'skeletalFeetExists': False,
'skinNailsHairExists': False,
'skinNailsHairSkinExists': False,
'skinNailsHairSkinHistologyExists': False,
'skinNailsHairSkinElectronMicroscopyExists': False,
'skinNailsHairNailsExists': False,
'skinNailsHairHairExists': False,
'muscleSoftTissueExists': False,
'neurologicExists': True,
'neurologicCentralNervousSystemExists': True,
'neurologicPeripheralNervousSystemExists': False,
'neurologicBehavioralPsychiatricManifestationsExists': False,
'voiceExists': False,
'metabolicFeaturesExists': False,
'endocrineFeaturesExists': False,
'hematologyExists': False,
'immunologyExists': False,
'neoplasiaExists': False,
'prenatalManifestationsExists': False,
'prenatalManifestationsMovementExists': False,
'prenatalManifestationsAmnioticFluidExists': False,
'prenatalManifestationsPlacentaAndUmbilicalCordExists': False,
'prenatalManifestationsMaternalExists': False,
'prenatalManifestationsDeliveryExists': False,
'laboratoryAbnormalitiesExists': False,
'miscellaneousExists': False,
'molecularBasisExists': True,
'matches': ''
}
} ]
}
} } | [
"[email protected]"
] | |
a88be202976fb580308f95fcb529d4d3e32b61d1 | 1b764845ceab76ab91d12a4a067cb49fa3296001 | /interface testing/tests/test_laGou.py | c3ed52590ca07ee3d1a11b689e4723a7cfee59d2 | [
"Apache-2.0"
] | permissive | mychristopher/test | c5e11aef178d025d25d54afde4fb836a18001a23 | 9977d36bab3fcc47f0e1dd42bbf5a99b39112a2f | refs/heads/master | 2023-07-31T14:58:22.303817 | 2020-09-05T04:26:07 | 2020-09-05T04:26:07 | 276,136,931 | 0 | 0 | Apache-2.0 | 2023-07-14T16:39:16 | 2020-06-30T15:21:29 | HTML | UTF-8 | Python | false | false | 1,394 | py | #!/use/bin/env python
#coding:utf-8
#Author:WuYa
import unittest
import json
from base.method import Method,IsContent
from page.laGou import *
from utils.public import *
from utils.operationExcel import OperationExcel
from utils.operationJson import OperationJson
class LaGou(unittest.TestCase):
def setUp(self):
self.obj=Method()
self.p=IsContent()
self.execl=OperationExcel()
self.operationJson=OperationJson()
def statusCode(self,r):
self.assertEqual(r.status_code, 200)
self.assertEqual(r.json()['code'], 0)
def isContent(self,r,row):
self.statusCode(r=r)
self.assertTrue(self.p.isContent(row=row,str2=r.text))
def test_laGou_001(self):
'''拉钩:测试翻页'''
r = self.obj.post(row=1,data=self.operationJson.getRequestsData(1))
self.isContent(r=r,row=1)
self.execl.writeResult(1,'pass')
def test_laGou_002(self):
'''拉钩:测试关键字的职位搜索'''
r =self.obj.post(row=1,data=setSo('Python开发工程师'))
list1=[]
for i in range(0,15):
positionId=r.json()['content']['positionResult']['result'][i]['positionId']
list1.append(positionId)
writePositionId(json.dumps(list1))
def test_lgGou_003(self):
'''访问搜索到的每个职位的详情页信息'''
for i in range(15):
r=self.obj.get(url=getUrl()[i])
self.assertTrue(self.p.isContent(2,r.text))
if __name__ == '__main__':
unittest.main(verbosity=2)
| [
"[email protected]"
] | |
b96ea4e4315057da353749698369e86cf59a095c | 601533bee6393d550fdf60e66599d9c69fb31a68 | /tools/nvme_utils/configshell-fb-1.1.fb18/setup.py | cb4827ef1b1ab44c478077dbde709c53cba74c99 | [
"Apache-2.0"
] | permissive | truenas/chelsiouwire | 7043978301e0e28be6c39ac39bbf483af370464f | 4739d295d543fc8164c96356d4cb1ed63e091a90 | refs/heads/master | 2023-08-21T16:54:22.911750 | 2022-07-13T18:26:48 | 2022-07-13T18:26:48 | 383,461,654 | 1 | 0 | null | 2022-07-13T18:29:13 | 2021-07-06T12:30:41 | C | UTF-8 | Python | false | false | 1,181 | py | #! /usr/bin/env python
'''
This file is part of ConfigShell.
Copyright (c) 2011-2013 by Datera, 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.
'''
from setuptools import setup
setup(
name = 'configshell-fb',
version = '1.1.18',
description = 'A framework to implement simple but nice CLIs.',
license = 'Apache 2.0',
maintainer = 'Andy Grover',
maintainer_email = '[email protected]',
url = 'http://github.com/agrover/configshell-fb',
packages = ['configshell', 'configshell_fb'],
classifiers = [
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"License :: OSI Approved :: Apache Software License",
],
)
| [
"[email protected]"
] | |
93c606579fc91423361e30cfdc8a82a968dbac37 | 326a026bcc6bad962159677110d78d3d836532ed | /wsgi.py | 6574317bc1bf00a24d2f009827fb1d6f7d1c3299 | [
"MIT"
] | permissive | Frederick-S/markote | f63a5007fd0a70ce4b3ae9d03425ae9f9c8b54f3 | 095dabe3da83b5d8809593758661eb78fa527f49 | refs/heads/master | 2023-03-04T16:50:30.541147 | 2022-08-12T01:24:43 | 2022-08-12T01:24:43 | 110,396,888 | 9 | 2 | MIT | 2023-03-04T13:11:38 | 2017-11-12T02:04:32 | Vue | UTF-8 | Python | false | false | 115 | py | from markote.bootstrap import create_app
app = create_app('production')
if __name__ == '__main__':
app.run()
| [
"[email protected]"
] | |
73947b723523e74ea45af363ab25a8f80eeaccd7 | bbc1001ec110c7cd0bf873bcff8519f8e713b42e | /dy/asgi.py | c700249231a0301e1efd89aab2d973a8372f4911 | [] | no_license | zamanehsani/dy | b141f98ab52bcdc21bfec593fe971b054e2f74f6 | 675915430e20f5c137f00016d99946f5cd814aa9 | refs/heads/master | 2023-03-16T18:53:38.416480 | 2021-03-05T14:13:45 | 2021-03-05T14:13:45 | 324,432,296 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 381 | py | """
ASGI config for dy project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'dy.settings')
application = get_asgi_application()
| [
"[email protected]"
] | |
2385a5660b0dce3abf0c6aac0db65604a5708974 | 93e631e4558f5ae5731dd2e35b1ddc6d4ba91506 | /yaldevtools/source_generators/interface.py | 0edc0d192d38e2a2576b41239712a650d08cc152 | [
"Apache-2.0"
] | permissive | xpoy1/libyal | 2744bff33ce53e70678966ed0c372e2a5f654cc3 | d4a7bded52eb6fa2dc20160ee75905b897827cf1 | refs/heads/main | 2023-04-26T02:00:50.310037 | 2021-05-22T09:51:56 | 2021-05-22T09:52:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 26,606 | py | # -*- coding: utf-8 -*-
"""The source file generator interface."""
from __future__ import unicode_literals
import abc
import datetime
import io
import logging
import os
import string
import time
from yaldevtools import source_file
from yaldevtools import source_formatter
class SourceFileGenerator(object):
"""Source file generator."""
def __init__(
self, projects_directory, data_directory, template_directory,
experimental=False):
"""Initializes a source file generator.
Args:
projects_directory (str): path of the projects directory.
data_directory (str): path of the data directory.
template_directory (str): path of the template directory.
experimental (bool): True if experimental features should be enabled.
"""
super(SourceFileGenerator, self).__init__()
self._data_directory = data_directory
self._definitions_include_header_file = None
self._definitions_include_header_path = None
self._experimental = experimental
self._has_tests = None
self._library_include_header_file = None
self._library_include_header_path = None
self._library_makefile_am_file = None
self._library_makefile_am_path = None
self._library_path = None
self._library_type_header_files = {}
self._projects_directory = projects_directory
self._python_module_path = None
self._template_directory = template_directory
self._tests_path = None
self._tools_path = None
self._types_include_header_file = None
self._types_include_header_path = None
def _CorrectDescriptionSpelling(self, name, output_filename):
"""Corrects the spelling of a type or value decription.
Args:
name (str): type or value name.
output_filename (str): path of the output file.
"""
if not name or name[0] not in ('a', 'e', 'i', 'o', ''):
return
with io.open(output_filename, 'r', encoding='utf8') as file_object:
lines = file_object.readlines()
name = name.replace('_', ' ')
description = ' a {0:s}'.format(name)
corrected_description = ' an {0:s}'.format(name)
with io.open(output_filename, 'w', encoding='utf8') as file_object:
for line in lines:
line = line.replace(description, corrected_description)
file_object.write(line)
def _GenerateSection(
self, template_filename, template_mappings, output_writer,
output_filename, access_mode='w'):
"""Generates a section from template filename.
Args:
template_filename (str): name of the template file.
template_mappings (dict[str, str]): template mappings, where the key
maps to the name of a template variable.
output_writer (OutputWriter): output writer.
output_filename (str): name of the output file.
access_mode (Optional[str]): output file access mode.
"""
template_string = self._ReadTemplateFile(template_filename)
try:
output_data = template_string.substitute(template_mappings)
except (KeyError, ValueError) as exception:
logging.error(
'Unable to format template: {0:s} with error: {1!s}'.format(
template_filename, exception))
return
output_writer.WriteFile(
output_filename, output_data, access_mode=access_mode)
def _GenerateSections(
self, template_filenames, template_mappings, output_writer,
output_filename, access_mode='w'):
"""Generates a section from template filenames.
Args:
template_filenames (list[str])): names of the template files.
template_mappings (dict[str, str]): template mappings, where the key
maps to the name of a template variable.
output_writer (OutputWriter): output writer.
output_filename (str): name of the output file.
access_mode (Optional[str]): output file access mode.
"""
for template_filename in template_filenames:
self._GenerateSection(
template_filename, template_mappings, output_writer, output_filename,
access_mode=access_mode)
access_mode = 'a'
def _GetDefinitionsIncludeHeaderFile(self, project_configuration):
"""Retrieves the definitions include header file.
Args:
project_configuration (ProjectConfiguration): project configuration.
Returns:
DefinitionsIncludeHeaderFile: definitions include header file or None if
the definitions include header file cannot be found.
"""
if not self._definitions_include_header_file:
self._definitions_include_header_path = os.path.join(
self._projects_directory, project_configuration.library_name,
'include', project_configuration.library_name, 'definitions.h.in')
if os.path.exists(self._definitions_include_header_path):
self._definitions_include_header_file = (
source_file.DefinitionsIncludeHeaderFile(
self._definitions_include_header_path))
self._definitions_include_header_file.Read(project_configuration)
return self._definitions_include_header_file
def _GetLibraryIncludeHeaderFile(self, project_configuration):
"""Retrieves the library include header file.
Args:
project_configuration (ProjectConfiguration): project configuration.
Returns:
LibraryIncludeHeaderFile: library include header file or None if
the library include header file cannot be found.
"""
if not self._library_include_header_file:
self._library_include_header_path = '{0:s}.h.in'.format(
project_configuration.library_name)
self._library_include_header_path = os.path.join(
self._projects_directory, project_configuration.library_name,
'include', self._library_include_header_path)
if os.path.exists(self._library_include_header_path):
self._library_include_header_file = (
source_file.LibraryIncludeHeaderFile(
self._library_include_header_path))
self._library_include_header_file.Read(project_configuration)
return self._library_include_header_file
def _GetLibraryMakefileAM(self, project_configuration):
"""Retrieves the library Makefile.am file.
Args:
project_configuration (ProjectConfiguration): project configuration.
Returns:
LibraryMakefileAMFile: library Makefile.am file or None if
the library Makefile.am file cannot be found.
"""
if not self._library_makefile_am_file:
self._library_makefile_am_path = os.path.join(
self._projects_directory, project_configuration.library_name,
project_configuration.library_name, 'Makefile.am')
if os.path.exists(self._library_makefile_am_path):
self._library_makefile_am_file = source_file.LibraryMakefileAMFile(
self._library_makefile_am_path)
self._library_makefile_am_file.Read(project_configuration)
return self._library_makefile_am_file
def _GetMainMakefileAM(self, project_configuration):
"""Retrieves the main Makefile.am file.
Args:
project_configuration (ProjectConfiguration): project configuration.
Returns:
MainMakefileAMFile: main Makefile.am file or None if the main
Makefile.am file cannot be found.
"""
# TODO: cache MainMakefileAMFile object and makefile_am_path
makefile_am_path = os.path.join(
self._projects_directory, project_configuration.library_name,
'Makefile.am')
makefile_am_file = source_file.MainMakefileAMFile(makefile_am_path)
makefile_am_file.Read(project_configuration)
return makefile_am_file
def _GetTemplateMappings(self, project_configuration, authors_separator=', '):
"""Retrieves the template mappings.
Args:
project_configuration (ProjectConfiguration): project configuration.
authors_separator (Optional[str]): authors separator.
Returns:
dict[str, str]: string template mappings, where the key maps to the name
of a template variable.
Raises:
ValueError: if the year of creation value is out of bounds.
"""
date = datetime.date.today()
if project_configuration.project_year_of_creation > date.year:
raise ValueError('Year of creation value out of bounds.')
if project_configuration.project_year_of_creation == date.year:
project_copyright = '{0:d}'.format(
project_configuration.project_year_of_creation)
else:
project_copyright = '{0:d}-{1:d}'.format(
project_configuration.project_year_of_creation, date.year)
if project_configuration.python_module_year_of_creation == date.year:
python_module_copyright = '{0:d}'.format(
project_configuration.python_module_year_of_creation)
else:
python_module_copyright = '{0:d}-{1:d}'.format(
project_configuration.python_module_year_of_creation, date.year)
authors = authors_separator.join(project_configuration.project_authors)
python_module_authors = authors_separator.join(
project_configuration.python_module_authors)
tools_authors = authors_separator.join(project_configuration.tools_authors)
tests_authors = authors_separator.join(project_configuration.tests_authors)
library_description_lower_case = '{0:s}{1:s}'.format(
project_configuration.library_description[0].lower(),
project_configuration.library_description[1:])
library_version = time.strftime('%Y%m%d', time.gmtime())
template_mappings = {
'authors': authors,
'copyright': project_copyright,
'library_name': project_configuration.library_name,
'library_name_upper_case': project_configuration.library_name.upper(),
'library_name_suffix': project_configuration.library_name_suffix,
'library_name_suffix_upper_case': (
project_configuration.library_name_suffix.upper()),
'library_description': project_configuration.library_description,
'library_description_lower_case': library_description_lower_case,
'library_version': library_version,
'python_module_authors': python_module_authors,
'python_module_name': project_configuration.python_module_name,
'python_module_name_upper_case': (
project_configuration.python_module_name.upper()),
'python_module_copyright': python_module_copyright,
'tools_authors': tools_authors,
'tools_name': project_configuration.tools_directory,
'tools_name_upper_case': project_configuration.tools_directory.upper(),
'tools_description': project_configuration.tools_description,
'tests_authors': tests_authors,
}
return template_mappings
def _GetTypeLibraryHeaderFile(self, project_configuration, type_name):
"""Retrieves a type specific library include header file.
Args:
project_configuration (ProjectConfiguration): project configuration.
type_name (str): name of the type.
Returns:
LibraryHeaderFile: library header file or None if the library header file
cannot be found or read.
"""
header_file = self._library_type_header_files.get(type_name, None)
if not header_file:
if not self._library_path:
self._library_path = os.path.join(
self._projects_directory, project_configuration.library_name,
project_configuration.library_name)
header_file_path = '{0:s}_{1:s}.h'.format(
project_configuration.library_name, type_name)
header_file_path = os.path.join(self._library_path, header_file_path)
header_file = source_file.LibraryHeaderFile(header_file_path)
# TODO: handle types in non-matching header files.
try:
header_file.Read(project_configuration)
except IOError:
logging.warning('Unable to read library header file: {0:s}'.format(
header_file.path))
return None
self._library_type_header_files[type_name] = header_file
return header_file
def _GetTypesIncludeHeaderFile(self, project_configuration):
"""Retrieves the types include header file.
Args:
project_configuration (ProjectConfiguration): project configuration.
Returns:
TypesIncludeHeaderFile: types include header file or None if
the types include header file cannot be found.
"""
if not self._types_include_header_file:
self._types_include_header_path = os.path.join(
self._projects_directory, project_configuration.library_name,
'include', project_configuration.library_name, 'types.h.in')
if os.path.exists(self._types_include_header_path):
self._types_include_header_file = source_file.TypesIncludeHeaderFile(
self._types_include_header_path)
self._types_include_header_file.Read(project_configuration)
return self._types_include_header_file
def _HasGlob(self, project_configuration, type_name):
"""Determines if the type has a glob function.
Args:
project_configuration (ProjectConfiguration): project configuration.
type_name (str): name of type.
Returns:
bool: True if the type needs a glob function.
"""
# TODO: determine needs_glog based on function prototypes
if (type_name == 'handle' and project_configuration.library_name in (
'libewf', 'libsmraw')):
return True
return False
def _HasTests(self, project_configuration):
"""Determines if the project has tests.
Args:
project_configuration (ProjectConfiguration): project configuration.
Returns:
bool: True if the tests path exits.
"""
if not self._tests_path:
self._tests_path = os.path.join(
self._projects_directory, project_configuration.library_name,
'tests')
self._has_tests = os.path.exists(self._tests_path)
return self._has_tests
def _ReadTemplateFile(self, filename):
"""Reads a template string from file.
Args:
filename (str): name of the file containing the template string.
Returns:
string.Template: template string.
"""
# Read with binary mode to make sure end of line characters are
# not converted.
with io.open(filename, 'rb') as file_object:
file_data = file_object.read()
file_data = file_data.decode('utf8')
return string.Template(file_data)
def _SetSequenceTypeNameInTemplateMappings(
self, template_mappings, type_name):
"""Sets the sequence type name in template mappings.
Args:
template_mappings (dict[str, str]): template mappings, where the key
maps to the name of a template variable.
type_name (str): sequence type name.
"""
if not type_name:
template_mappings['sequence_type_description'] = ''
template_mappings['sequence_type_name'] = ''
template_mappings['sequence_type_name_camel_case'] = ''
template_mappings['sequence_type_name_upper_case'] = ''
else:
template_mappings['sequence_type_description'] = type_name.replace(
'_', ' ')
template_mappings['sequence_type_name'] = type_name
template_mappings['sequence_type_name_camel_case'] = ''.join([
word.title() for word in type_name.split('_')])
template_mappings['sequence_type_name_upper_case'] = type_name.upper()
def _SetSequenceValueNameInTemplateMappings(
self, template_mappings, value_name):
"""Sets the sequence value name in template mappings.
Args:
template_mappings (dict[str, str]): template mappings, where the key
maps to the name of a template variable.
value_name (str): sequence value name.
"""
if not value_name:
template_mappings['sequence_value_description'] = ''
template_mappings['sequence_value_name'] = ''
template_mappings['sequence_value_name_upper_case'] = ''
else:
template_mappings['sequence_value_description'] = value_name.replace(
'_', ' ')
template_mappings['sequence_value_name'] = value_name
template_mappings['sequence_value_name_upper_case'] = value_name.upper()
def _SetTypeFunctionInTemplateMappings(
self, template_mappings, type_function):
"""Sets the type function in template mappings.
Args:
template_mappings (dict[str, str]): template mappings, where the key
maps to the name of a template variable.
type_function (str): type function.
"""
if not type_function:
template_mappings['type_function'] = ''
template_mappings['type_function_upper_case'] = ''
else:
template_mappings['type_function'] = type_function
template_mappings['type_function_upper_case'] = type_function.upper()
def _SetTypeNameInTemplateMappings(self, template_mappings, type_name):
"""Sets the type name in template mappings.
Args:
template_mappings (dict[str, str]): template mappings, where the key
maps to the name of a template variable.
type_name (str): type name.
"""
if not type_name:
template_mappings['type_description'] = ''
template_mappings['type_name'] = ''
template_mappings['type_name_camel_case'] = ''
template_mappings['type_name_upper_case'] = ''
else:
template_mappings['type_description'] = type_name.replace('_', ' ')
template_mappings['type_name'] = type_name
template_mappings['type_name_camel_case'] = ''.join([
word.title() for word in type_name.split('_')])
template_mappings['type_name_upper_case'] = type_name.upper()
def _SetValueNameInTemplateMappings(self, template_mappings, value_name):
"""Sets value name in template mappings.
Args:
template_mappings (dict[str, str]): template mappings, where the key
maps to the name of a template variable.
value_name (str): value name.
"""
if not value_name:
template_mappings['value_description'] = ''
template_mappings['value_name'] = ''
template_mappings['value_name_upper_case'] = ''
else:
template_mappings['value_description'] = value_name.replace('_', ' ')
template_mappings['value_name'] = value_name
template_mappings['value_name_upper_case'] = value_name.upper()
def _SetValueTypeInTemplateMappings(self, template_mappings, value_type):
"""Sets value type in template mappings.
Args:
template_mappings (dict[str, str]): template mappings, where the key
maps to the type of a template variable.
value_type (str): value type.
"""
if not value_type:
template_mappings['value_type'] = ''
template_mappings['value_type_description'] = ''
template_mappings['value_type_upper_case'] = ''
else:
template_mappings['value_type'] = value_type
template_mappings['value_type_description'] = value_type.replace(
'_', ' ')
template_mappings['value_type_upper_case'] = value_type.upper()
def _SortIncludeHeaders(self, project_configuration, output_filename):
"""Sorts the include headers within a source file.
Args:
project_configuration (ProjectConfiguration): project configuration.
output_filename (str): path of the output file.
"""
with io.open(output_filename, 'r', encoding='utf8') as file_object:
lines = file_object.readlines()
library_include_header_start = '#include "{0:s}_'.format(
project_configuration.library_name)
python_module_include_header_start = '#include "{0:s}_'.format(
project_configuration.python_module_name)
test_include_header_start = '#include "{0:s}_test_'.format(
project_configuration.library_name_suffix)
tools_include_header_start = '#include "{0:s}tools_'.format(
project_configuration.library_name_suffix)
include_headers = []
in_include_headers = False
with io.open(output_filename, 'w', encoding='utf8') as file_object:
for line in lines:
if (line.startswith(library_include_header_start) or
line.startswith(python_module_include_header_start) or
line.startswith(test_include_header_start) or
line.startswith(tools_include_header_start) or
line.startswith('#include "info_') or
line.startswith('#include "mount_')):
include_headers.append(line)
in_include_headers = True
elif in_include_headers:
file_object.writelines(sorted(include_headers))
file_object.write(line)
in_include_headers = False
else:
file_object.write(line)
def _SortVariableDeclarations(self, output_filename):
"""Sorts the variable declarations within a source file.
Args:
output_filename (str): path of the output file.
"""
with io.open(output_filename, 'r', encoding='utf8') as file_object:
lines = file_object.readlines()
formatter = source_formatter.SourceFormatter()
variable_declarations = None
in_variable_declarations = False
with io.open(output_filename, 'w', encoding='utf8') as file_object:
for line in lines:
stripped_line = line.rstrip()
if stripped_line == '{':
file_object.write(line)
variable_declarations = []
in_variable_declarations = True
elif in_variable_declarations:
if ('(' not in stripped_line or
stripped_line.startswith('#if defined(')):
variable_declarations.append(line)
else:
# TODO: remove the need for FormatSourceOld.
sorted_lines = formatter.FormatSourceOld(variable_declarations)
file_object.writelines(sorted_lines)
file_object.write(line)
in_variable_declarations = False
else:
file_object.write(line)
lines = formatter.FormatSource(lines)
def _VerticalAlignAssignmentStatements(self, output_filename):
"""Vertically aligns assignment statements.
Args:
output_filename (str): path of the output file.
"""
with io.open(output_filename, 'r', encoding='utf8') as file_object:
lines = file_object.readlines()
assigment_statements = []
in_assigment_statements_block = False
with io.open(output_filename, 'w', encoding='utf8') as file_object:
for line in lines:
if ' = ' in line:
if not in_assigment_statements_block:
in_assigment_statements_block = True
assigment_statements.append(line)
continue
if in_assigment_statements_block:
if len(assigment_statements) == 1:
file_object.write(assigment_statements[0])
else:
alignment_offset = 0
for assigment_statement in assigment_statements:
prefix, _, _ = assigment_statement.rpartition('=')
prefix = prefix.rstrip()
alignment_offset = max(alignment_offset, len(prefix) + 1)
for assigment_statement in assigment_statements:
prefix, _, suffix = assigment_statement.rpartition('=')
prefix = prefix.rstrip()
alignment_length = alignment_offset - len(prefix)
assigment_statement_line = '{0:s}{1:s}={2:s}'.format(
prefix, ' ' * alignment_length, suffix)
file_object.write(assigment_statement_line)
in_assigment_statements_block = False
assigment_statements = []
file_object.write(line)
def _VerticalAlignFunctionArguments(self, output_filename):
"""Vertically aligns function arguments.
Note this is a very basic approach that should suffice for the yaltools and
pyyal Python module source files.
Args:
output_filename (str): path of the output file.
"""
with io.open(output_filename, 'r', encoding='utf8') as file_object:
lines = file_object.readlines()
alignment_number_of_spaces = 0
alignment_number_of_tabs = 0
in_function_call = False
with io.open(output_filename, 'w', encoding='utf8') as file_object:
for line in lines:
if not line.startswith('\t'):
file_object.write(line)
continue
stripped_line = line.rstrip()
if in_function_call:
if stripped_line.endswith(')') or stripped_line.endswith(');'):
in_function_call = False
stripped_line = line.lstrip()
line = '{0:s}{1:s}{2:s}'.format(
'\t' * alignment_number_of_tabs,
' ' * alignment_number_of_spaces,
stripped_line)
elif stripped_line.endswith('('):
in_function_call = True
stripped_line = line.lstrip()
alignment_number_of_spaces = stripped_line.rfind(' ')
if alignment_number_of_spaces == -1:
alignment_number_of_spaces = 1
else:
alignment_number_of_spaces += 2
alignment_number_of_tabs = len(line) - len(stripped_line)
file_object.write(line)
def _VerticalAlignTabs(self, output_filename):
"""Vertically aligns tabs.
Args:
output_filename (str): path of the output file.
"""
with io.open(output_filename, 'r', encoding='utf8') as file_object:
lines = file_object.readlines()
alignment_offset = 0
for line in lines:
if '\t' not in line.lstrip('\t'):
continue
prefix, _, suffix = line.rpartition('\t')
prefix = prefix.rstrip('\t')
formatted_prefix = prefix.replace('\t', ' ' * 8)
equal_sign_offset = len(formatted_prefix) + 8
equal_sign_offset, _ = divmod(equal_sign_offset, 8)
equal_sign_offset *= 8
if alignment_offset == 0:
alignment_offset = equal_sign_offset
else:
alignment_offset = max(alignment_offset, equal_sign_offset)
with io.open(output_filename, 'w', encoding='utf8') as file_object:
for line in lines:
if '\t' in line.lstrip('\t'):
prefix, _, suffix = line.rpartition('\t')
prefix = prefix.rstrip('\t')
formatted_prefix = prefix.replace('\t', ' ' * 8)
alignment_size = alignment_offset - len(formatted_prefix)
alignment_size, remainder = divmod(alignment_size, 8)
if remainder > 0:
alignment_size += 1
alignment = '\t' * alignment_size
line = '{0:s}{1:s}{2:s}'.format(prefix, alignment, suffix)
file_object.write(line)
@abc.abstractmethod
def Generate(self, project_configuration, output_writer):
"""Generates the source file.
Args:
project_configuration (ProjectConfiguration): project configuration.
output_writer (OutputWriter): output writer.
"""
| [
"[email protected]"
] | |
3c2631144ed941c39aba487fac120978f680355c | 183e4126b2fdb9c4276a504ff3ace42f4fbcdb16 | /I семестр/Програмування (Python)/Лабораторні/Братун 6305/Labs/LABA7/counter/counter_2.py | f72f5c76c3f4a527bff955d3e92c75781b03a0c9 | [] | no_license | Computer-engineering-FICT/Computer-engineering-FICT | ab625e2ca421af8bcaff74f0d37ac1f7d363f203 | 80b64b43d2254e15338060aa4a6d946e8bd43424 | refs/heads/master | 2023-08-10T08:02:34.873229 | 2019-06-22T22:06:19 | 2019-06-22T22:06:19 | 193,206,403 | 3 | 0 | null | 2023-07-22T09:01:05 | 2019-06-22T07:41:22 | HTML | UTF-8 | Python | false | false | 554 | py | import os
os.chdir('C:\lab7\Bratun')
def get_line():
with open( r'v5.txt', "r", encoding="cp1251") as f:
tmp = f.readlines()
f.close()
return tmp
def change():
core = round(len(fileinline) / 2)
for i in range(core):
fileinline[i], fileinline[-i - 1] = fileinline[-i - 1], fileinline[i]
with open( r'v5.txt', "w", encoding="utf-8") as f:
for i in fileinline:
f.write(i)
f.close()
fileinline = get_line()
change()
os.rename( r'v5.txt', r'v51.txt')
| [
"[email protected]"
] | |
fa9d0ee477d8f85e5679caa53d6217ad43c68753 | 6cd3de9d6aa0c52602010aa857966d5dc4d57442 | /mlprodict/onnxrt/validate/data/__init__.py | 68432ec182456d8c49ed21a9d675ee84cce8bc08 | [
"MIT"
] | permissive | xadupre/mlprodict | 2307ca96eafeeafff08d5322184399bb5dc1c37e | f82c8a26a60104948c67849b1c4af95ca812c153 | refs/heads/master | 2022-12-10T18:50:36.953032 | 2020-09-03T08:53:58 | 2020-09-03T08:53:58 | 292,824,744 | 1 | 0 | NOASSERTION | 2020-09-04T10:56:45 | 2020-09-04T10:56:44 | null | UTF-8 | Python | false | false | 555 | py | """
@file
@brief Datasets to tests models.
"""
import os
from pandas import read_csv
def load_audit():
"""
Use to test conversion of
:epkg:`sklearn:ensemble:GradientBoostingClassifier`
into :epkg:`ONNX`.
.. runpython::
:showcode:
from mlprodict.onnxrt.validate.data import load_audit
df = load_audit()
print(df.head())
"""
name = os.path.dirname(__file__)
name = os.path.join(name, 'audit.csv')
df = read_csv(name).drop(['ID', 'index'], axis=1, inplace=False).dropna()
return df
| [
"[email protected]"
] | |
83f94bd9c3c121ff9ada41cf8536eca2c0433b1e | 4e29395020ce78f435e75e0b3f1e09b227f6f4d8 | /ataraxia/algorithm/Eval/lib/io_hybrid.py | 32928d5b699ae213791d6a62d1a611549f9ab357 | [] | no_license | luoyangustc/argus | 8b332d94af331a2594f5b1715ef74a4dd98041ad | 2ad0df5d7355c3b81484f6625b82530b38b248f3 | refs/heads/master | 2020-05-25T21:57:37.815370 | 2019-05-22T09:42:40 | 2019-05-22T09:42:40 | 188,005,059 | 5 | 3 | null | null | null | null | UTF-8 | Python | false | false | 17,763 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import os
import logging
import mxnet as mx
import cv2
import numpy as np
from config import cfg
class empty_image(Exception):
'''
catch empty image error
'''
pass
def check_dir(path):
'''
'''
dirname = os.path.dirname(path)
if not os.path.exists(dirname):
logging.info("{} does not exist, and it is now created.".format(dirname))
os.mkdir(dirname)
def inst_iterators(data_train, data_dev, batch_size=1, data_shape=(3,224,224), resize=(-1,-1), resize_scale=(1,1), resize_area=(1,1), use_svm_label=False, use_dali=False):
'''
Instantiate specified training and developing data iterators
:params:
data_train training rec/lst
data_dev developing rec/lst
batch_size mini batch size, sum of all device
data_shape input shape
resize resize shorter edge of (train,dev) data, -1 means no resize
resize_scale resize train-data into (width*s, height*s), with s randomly chosen from this range
resize_area Change the area (namely width * height) to a random value in [min_random_area, max_random_area]. Ignored if random_resized_crop is False
use_svm_label set as True if classifier needs svm label name
use_dali set as True if nvidia dali is supposed to be used
:return:
train, dev tuple of 2 iterators
'''
# initialization
assert data_train and data_dev, logging.error("Please input training or developing data")
mean, std = cfg.TRAIN.MEAN_RGB, cfg.TRAIN.STD_RGB
assert len(mean)==3 and len(std)==3, logging.error("Mean or Std should be a list of 3 items")
mean_r, mean_g, mean_b, std_r, std_g, std_b = mean[:] + std[:]
min_random_scale, max_random_scale = resize_scale
min_random_area, max_random_area = resize_area
min_aspect_ratio = cfg.TRAIN.MIN_ASPECT_RATIO if cfg.TRAIN.MIN_ASPECT_RATIO else None
logging.info('Input normalization : Mean-RGB {}, Std-RGB {}'.format([mean_r, mean_g, mean_b],[std_r, std_g, std_b]))
logging.info('Input scale augmentation : Max-random-sclae {}, Min-random-scale {}'.format(max_random_scale, min_random_scale))
logging.info('Input area augmentation : Max-random-area {}, Min-random-area {}'.format(max_random_area, min_random_area))
resize_train, resize_dev = resize
label_name = 'softmax_label' if not use_svm_label else 'svm_label'
# build iterators
if not cfg.TRAIN.USE_DALI and cfg.TRAIN.USE_REC:
logging.info("Creating recordio iterators")
train = mx.io.ImageRecordIter(
dtype = cfg.TRAIN.DATA_TYPE,
path_imgrec = data_train,
preprocess_threads = cfg.TRAIN.PROCESS_THREAD,
data_name = 'data',
label_name = label_name,
label_width = cfg.TRAIN.LABEL_WIDTH,
data_shape = data_shape,
batch_size = batch_size,
resize = resize_train,
max_random_scale = max_random_scale,
min_random_scale = min_random_scale,
shuffle = cfg.TRAIN.SHUFFLE,
rand_crop = cfg.TRAIN.RAND_CROP,
rand_mirror = cfg.TRAIN.RAND_MIRROR,
max_rotate_angle = cfg.TRAIN.MAX_ROTATE_ANGLE,
max_aspect_ratio = cfg.TRAIN.MAX_ASPECT_RATIO,
min_aspect_ratio = min_aspect_ratio,
random_resized_crop = cfg.TRAIN.RANDOM_RESIZED_CROP,
max_random_area = max_random_area,
min_random_area = min_random_area,
max_img_size = cfg.TRAIN.MAX_IMG_SIZE,
min_img_size = cfg.TRAIN.MIN_IMG_SIZE,
max_shear_ratio = cfg.TRAIN.MAX_SHEAR_RATIO,
brightness = cfg.TRAIN.BRIGHTNESS_JITTER,
contrast = cfg.TRAIN.CONTRAST_JITTER,
saturation = cfg.TRAIN.SATURATION_JITTER,
hue = cfg.TRAIN.HUE_JITTER,
pca_noise = cfg.TRAIN.PCA_NOISE,
random_h = cfg.TRAIN.RANDOM_H,
random_s = cfg.TRAIN.RANDOM_S,
random_l = cfg.TRAIN.RANDOM_L,
mean_r = mean_r,
mean_g = mean_g,
mean_b = mean_b,
std_r = std_r,
std_g = std_g,
std_b = std_b,
inter_method = cfg.TRAIN.INTERPOLATION_METHOD
)
dev = mx.io.ImageRecordIter(
dtype = cfg.TRAIN.DATA_TYPE,
path_imgrec = data_dev,
preprocess_threads = cfg.TRAIN.PROCESS_THREAD,
data_name = 'data',
label_name = label_name,
label_width = cfg.TRAIN.LABEL_WIDTH,
batch_size = batch_size,
data_shape = data_shape,
resize = resize_dev,
shuffle = False,
rand_crop = False, # center crop
rand_mirror = False,
mean_r = mean_r,
mean_g = mean_g,
mean_b = mean_b,
std_r = std_r,
std_g = std_g,
std_b = std_b,
inter_method = cfg.TRAIN.INTERPOLATION_METHOD
)
elif not cfg.TRAIN.USE_DALI and not cfg.TRAIN.USE_REC:
logging.info("Creating image iterators")
# set decoding thread number
os.environ['MXNET_CPU_WORKER_NTHREADS'] = str(cfg.TRAIN.PROCESS_THREAD)
# set rand_crop and rand_resize as default, and append separately
aug_list_train = mx.image.CreateAugmenter(
data_shape = data_shape,
resize = resize_train,
rand_mirror = cfg.TRAIN.RAND_MIRROR,
mean = np.asarray(mean),
std = np.asarray(std),
brightness = cfg.TRAIN.BRIGHTNESS_JITTER,
contrast = cfg.TRAIN.CONTRAST_JITTER,
saturation = cfg.TRAIN.SATURATION_JITTER,
hue = cfg.TRAIN.HUE_JITTER,
pca_noise = cfg.TRAIN.PCA_NOISE,
inter_method = cfg.TRAIN.INTERPOLATION_METHOD
)
if cfg.TRAIN.RAND_CROP and min_random_scale != 1:
aug_list_train.append(mx.image.RandomSizedCropAug(
(data_shape[2],data_shape[1]),
min_random_scale**2,
(1-cfg.TRAIN.MAX_ASPECT_RATIO, 1+cfg.TRAIN.MAX_ASPECT_RATIO),
cfg.TRAIN.INTERPOLATION_METHOD))
elif cfg.TRAIN.RAND_CROP:
aug_list_train.append(mx.image.RandomCropAug(
(data_shape[2],data_shape[1]),
cfg.TRAIN.INTERPOLATION_METHOD))
# set rand_crop and rand_resize as default to use center-crop
aug_list_dev = mx.image.CreateAugmenter(
data_shape = data_shape,
resize = resize_dev,
mean = np.asarray(mean),
std = np.asarray(std),
inter_method = cfg.TRAIN.INTERPOLATION_METHOD
)
train = mx.image.ImageIter(
dtype = cfg.TRAIN.DATA_TYPE,
path_imglist = data_train,
data_name = 'data',
label_name = label_name,
label_width = cfg.TRAIN.LABEL_WIDTH,
data_shape = data_shape,
batch_size = batch_size,
path_root = cfg.TRAIN.TRAIN_IMG_PREFIX,
shuffle = cfg.TRAIN.SHUFFLE,
last_batch_handle = cfg.TRAIN.LAST_BATCH_HANDLE,
aug_list = aug_list_train
)
dev = mx.image.ImageIter(
dtype = cfg.TRAIN.DATA_TYPE,
path_imglist = data_dev,
data_name = 'data',
label_name = label_name,
label_width = cfg.TRAIN.LABEL_WIDTH,
data_shape = data_shape,
batch_size = batch_size,
path_root = cfg.TRAIN.DEV_IMG_PREFIX,
shuffle = cfg.TRAIN.SHUFFLE,
last_batch_handle = cfg.TRAIN.LAST_BATCH_HANDLE,
aug_list = aug_list_dev
)
elif cfg.TRAIN.USE_DALI and cfg.TRAIN.USE_REC:
from dali_util import HybridTrainPipe, HybridValPipe
from nvidia.dali.plugin.mxnet import DALIClassificationIterator
num_gpus = len(cfg.TRAIN.GPU_IDX)
batch_size /= num_gpus
train_pipes = [HybridTrainPipe(batch_size=batch_size, num_threads=cfg.TRAIN.PROCESS_THREAD, device_id = i, num_gpus = num_gpus) for i in range(num_gpus)]
dev_pipes = [HybridValPipe(batch_size=batch_size, num_threads=cfg.TRAIN.PROCESS_THREAD, device_id = i, num_gpus = num_gpus) for i in range(num_gpus)]
train_pipes[0].build()
dev_pipes[0].build()
train = DALIClassificationIterator(train_pipes, train_pipes[0].epoch_size("Reader"))
dev = DALIClassificationIterator(dev_pipes, dev_pipes[0].epoch_size("Reader"))
else:
logging.error('Invalid data loader type')
pass
logging.info("Data iters created successfully")
return train, dev
def np_img_preprocessing(img, as_float=True, **kwargs):
'''
'''
assert isinstance(img, np.ndarray), logging.error("Input images should be type of numpy.ndarray")
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
if as_float:
img = img.astype(float)
# reshape
if 'resize_w_h' in kwargs and not kwargs['keep_aspect_ratio']:
img = cv2.resize(img, (kwargs['resize_w_h'][0], kwargs['resize_w_h'][1]))
if 'resize_min_max' in kwargs and kwargs['keep_aspect_ratio']:
ratio = float(max(img.shape[:2]))/min(img.shape[:2])
min_len, max_len = kwargs['resize_min_max']
if min_len*ratio <= max_len or max_len == 0: # resize by min
if img.shape[0] > img.shape[1]: # h > w
img = cv2.resize(img, (min_len, int(min_len*ratio)))
elif img.shape[0] <= img.shape[1]: # h <= w
img = cv2.resize(img, (int(min_len*ratio), min_len))
elif min_len*ratio > max_len: # resize by max
if img.shape[0] > img.shape[1]: # h > w
img = cv2.resize(img, (int(max_len/ratio), max_len))
elif img.shape[0] <= img.shape[1]: # h <= w
img = cv2.resize(img, (max_len, int(max_len/ratio)))
# normalization
if 'mean_rgb' in kwargs:
img -= kwargs['mean_rgb'][:]
if 'std_rgb' in kwargs:
img /= kwargs['std_rgb'][:]
# (h,w,c) => (c,h,w)
img = np.swapaxes(img, 0, 2)
img = np.swapaxes(img, 1, 2)
logging.debug('img value: \n{}'.format(img))
return img
def np_img_center_crop(img, crop_width):
'''
'''
_, height, width = img.shape # (c,h,w)
assert (height >= crop_width and width >= crop_width), logging.error('crop size should be larger than image size')
top = int(float(height) / 2 - float(crop_width) / 2)
left = int(float(width) / 2 - float(crop_width) / 2)
crop = img[:, top:(top + crop_width), left:(left + crop_width)]
return crop
def np_img_multi_crop(img, crop_width, crop_number=3):
_, height, width = img.shape
assert crop_number in [3,5], logging.error('crop number should be 3 or 5 for now')
assert (height >= crop_width and width >= crop_width), logging.error('image size should be larger than crop size')
assert crop_width == min(height, width), logging.error('crop size should be equal to short edge for now')
if height > width:
cent_crop = np_img_center_crop(img, crop_width)
top_crop = img[:, :crop_width, :]
bottom_crop = img[:, -crop_width:, :]
if crop_number == 3:
return [top_crop, cent_crop, bottom_crop]
elif crop_number == 5:
stride = int((float(height)-float(crop_width))/4)
top_crop_2 = img[:, stride:(stride + crop_width), :]
bottom_crop_2 = img[:, (-crop_width - stride):-stride, :]
return [top_crop, top_crop_2, cent_crop, bottom_crop_2, bottom_crop]
elif width > height:
cent_crop = np_img_center_crop(img, crop_width)
left_crop = img[:, :, :crop_width]
right_crop = img[:, :, -crop_width:]
if crop_number == 3:
return [left_crop, cent_crop, right_crop]
elif crop_number == 5:
stride = int((float(width)-float(crop_width))/4)
left_crop_2 = img[:, :, stride:(stride + crop_width)]
right_crop_2 = img[:, :, (-crop_width - stride):-stride]
return [left_crop, left_crop_2, cent_crop, right_crop_2, right_crop]
else:
logging.info('input image gets 1:1 aspect ratio, return {} crops with exactly the same pixels'.format(crop_number))
return[img for x in range(crop_number)]
def load_model(model_prefix, load_epoch, gluon_style=False):
'''
Load existing model
:params:
model_prefix prefix of model with path
load_epoch which epoch to load
gluon_style set True to load model saved by gluon
:return:
sym, arg, aux symbol, arg_params, aux_params of this model
aux_params will be an empty dict in gluon style
'''
assert model_prefix and load_epoch is not None, logging.error('Missing valid pretrained model prefix')
assert load_epoch is not None, logging.error('Missing epoch of pretrained model to load')
if not gluon_style:
sym, arg, aux = mx.model.load_checkpoint(model_prefix, load_epoch)
else:
sym = mx.sym.load(model_prefix+'-symbol.json')
save_dict = mx.nd.load('%s-%04d.params'%(model_prefix, load_epoch))
arg, aux = dict(), dict()
for k, v in save_dict.items():
arg[k] = v
logging.info('Loaded model: {}-{:0>4}.params'.format(model_prefix, load_epoch))
return sym, arg, aux
def load_model_gluon(symbol, arg_params, aux_params, ctx, layer_name=None):
'''
Use to load net and params with gluon after load_model()
'''
def _init_gluon_style_params(raw_params, net_params, ctx):
'''
'''
for param in raw_params:
if param in net_params:
net_params[param]._load_init(raw_params[param], ctx=ctx)
return net_params
if layer_name:
net = symbol.get_internals()[layer_name + '_output']
else:
net = symbol
net_hybrid = mx.gluon.nn.SymbolBlock(outputs=net, inputs=mx.sym.var('data'))
net_params = net_hybrid.collect_params()
net_params = _init_gluon_style_params(arg_params,net_params,ctx)
net_params = _init_gluon_style_params(aux_params,net_params,ctx)
return net_hybrid
def save_model(model_prefix, rank=0):
'''
'''
assert model_prefix, logging.error('Model-prefix is needed to save model')
dst_dir = os.path.dirname(model_prefix)
if not os.path.isdir(dst_dir):
os.mkdir(dst_dir)
return mx.callback.do_checkpoint(model_prefix if rank == 0 else "%s-%d"%(model_prefix, rank))
def save_model_gluon(net, model_prefix, rank=0):
'''
'''
net.collect_params().save("{}-{:0>4}.params".format(model_prefix, rank))
net(mx.sym.Variable('data')).save("{}-symbol.json".format(model_prefix))
logging.info('Saved checkpoint to \"{}-{:0>4}.params\"'.format(model_prefix, rank))
return 0
def load_image_list(image_list_file):
'''
read image path file with syntax as follows(label is trivial):
/path/to/image1.jpg (label)
/path/to/image2.jpg (label)
...
:params:
:return:
'''
image_list = list()
label_list = list()
with open(image_list_file, 'r') as f:
for buff in f:
if len(buff.strip().split()) == 1: # image path only
image_list.append(buff.strip())
elif len(buff.strip().split()) == 2: # with labels
image_list.append(buff.strip().split()[0])
label_list.append(buff.strip().split()[1])
else:
logging.error("Image list syntax error!")
return image_list, label_list
def load_category_list(cat_file, name_position=1, split=None):
'''
load category file
file syntax:
0 category_name
1 category_name
:params:
:return:
'''
tup_list = list()
with open(cat_file,'r') as f:
for buff in f.readlines():
if ' ' in buff.strip():
split = ' '
elif ',' in buff.strip():
split = ','
tup_list.append(buff.strip().split(split))
category_list = [tup[name_position] for tup in sorted(tup_list, key=lambda x:int(x[1-name_position]))]
logging.debug(category_list)
return category_list
| [
"[email protected]"
] | |
518d213b2c92fa19522c41e572a3645a8ff0e7a6 | 3a9f2b3d79cf214704829427ee280f4b49dca70a | /saigon/rat/RuckusAutoTest/tests/fm/FM_ManageUsers.py | ce9d8d8d13ce6dfefd8d1b6b16a7cc23900bf55b | [] | no_license | jichunwei/MyGitHub-1 | ae0c1461fe0a337ef459da7c0d24d4cf8d4a4791 | f826fc89a030c6c4e08052d2d43af0b1b4b410e3 | refs/heads/master | 2021-01-21T10:19:22.900905 | 2016-08-20T03:34:52 | 2016-08-20T03:34:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,994 | py | '''
Testsuite
1.1.10.2 Administration - Users
1.1.10.2.4 Create many user(over 100 user account)
MODELING FOR NORMAL CASES
-------------------------
Inputs
- totalUsers
Internal Variables
- name_prefix: likes 'user_'
Expected Results
- able to create more than a hundred of users
Testscript
+ Config:
- Initialize the input config
- Delete all current (delete-able) users
+ Test:
- Create users (by the given totalUsers)
- Go through the list make sure the created users are there
+ Clean up:
- Delete all the users
'''
import os, time, logging, re, random
from datetime import *
from pprint import pprint, pformat
from RuckusAutoTest.common.utils import *
from RuckusAutoTest.models import Test
from RuckusAutoTest.components.RuckusAP import RuckusAP
from RuckusAutoTest.components import Helpers as lib
from RuckusAutoTest.tests.fm.lib_FM import *
class FM_ManageUsers(Test):
required_components=['FM', 'APs']
parameter_description = dict(
totalUsers = '',
)
def config(self, conf):
self.errmsg = None
self.aliases = init_aliases(testbed=self.testbed)
self._cfgTestParams(**conf)
logging.info('Delete all delete-able users')
lib.fm.userMgmt.delete_all_users(self.aliases.fm)
def test(self):
self._create_users()
if self.errmsg: return ('FAIL', self.errmsg)
self._testCreatedUsers()
if self.errmsg: return ('FAIL', self.errmsg)
return ('PASS', '')
def cleanup(self):
logging.info('Delete all delete-able users')
lib.fm.userMgmt.delete_all_users(self.aliases.fm)
self.aliases.fm.logout()
def _cfgTestParams(self, **kwa):
self.p = dict(
totalUsers = 11,
prefix = 'user',
roles = ['Network Administrator', 'Group Administrator',
'Group Operator', 'Device Operator'],
)
self.p.update(kwa)
logging.debug('Test Configs:\n%s' % pformat(self.p))
def _generateUsers(self, **kwa):
'''
kwa:
- prefix
- total
- roles
return:
- something likes 'user_015'
'''
role_len = int(kwa['total'] / len(kwa['roles']))
for i in range(1, kwa['total'] + 1):
role_idx = int(i/role_len)
if role_idx >= len(kwa['roles']):
role_idx = len(kwa['roles']) - 1
yield '%s_%03i' % (kwa['prefix'], i), kwa['roles'][role_idx]
def _create_users(self):
'''
return:
. self.accounts: a list of (name, role)
'''
self.accounts = []
logging.info('Creating Users: prefix=%s, totalUsers=%s' % \
(self.p['prefix'], self.p['totalUsers']))
for name, role in self._generateUsers(prefix=self.p['prefix'],
total=self.p['totalUsers'],
roles=self.p['roles']):
self.accounts.append((name, role))
lib.fm.userMgmt.add_user(self.aliases.fm,
username=name,
password=name,
role=role)
def _testCreatedUsers(self):
logging.info('Test the list of created users')
allAccs = lib.fm.userMgmt.get_all_users(self.aliases.fm)
for a in self.accounts:
if not self._find_user(user=a, list=allAccs):
self.errmsg = 'User created but not found: (name=%s, role=%s)' % a
return
def _find_user(self, **kwa):
'''
kwa:
- user: (name, role)
- list: the list of users from FM Users table
'''
for i in kwa['list']:
if i['username'] == kwa['user'][0]:
if i['userrole'] == kwa['user'][1]:
return True
return False # same user name, but different role
return False
| [
"[email protected]"
] | |
f494dcb113132af32c65f8eef89c23905b98c3fe | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_150/ch14_2020_03_16_15_58_26_897959.py | 886c16b139252dc0fd5ccfdbc257e43fc08191ee | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 207 | py | import math
def calcula_distancia_do_projetil(v, θ, y0, g):
parte1 = (v**2)/2*g
parte2 = (1+(1+(2*g*y0)/(v**2*(math.sin(θ))**2))**(1/2))
parte3 = math.sin(2*θ)
return parte1*parte2*parte3 | [
"[email protected]"
] | |
bea3144283716bdbdbe71f6b44d09fa8d6a03de0 | b59bc650ae07b18757b455e1b5cb7cfde91714a4 | /.env/local/lib/python3.5/site-packages/pip/_vendor/html5lib/treewalkers/base.py | 01589adb44061010c8af1db52d5e2584728f1cb0 | [] | no_license | jhashubham28/BE_Project_SpeakerRecognition | d07c584359a5ebc6b524b3b4617b072c58724d17 | ede8fd53e79973e4116030e5a36f9deaa61dcc63 | refs/heads/master | 2020-05-29T20:42:15.055659 | 2019-05-30T20:17:30 | 2019-05-30T20:17:30 | 189,354,351 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 129 | py | /home/pi/Downloads/BE_Project-SpeakerRecognition-master/.env/lib/python3.5/site-packages/pip/_vendor/html5lib/treewalkers/base.py | [
"[email protected]"
] | |
8f84d88db14358d73e9ecb453a7653f76aa97d00 | 43e11969cddd18fea322ce5de8a40de0eae8c47c | /clients/python/test/test_stats_history.py | 05dfe605166afc8f031a9af367d96fb721d96ce4 | [] | no_license | bottlecapper/api-connectors | 60b03de028a45f2a1dee0d41c7a899afeff07333 | b202c2889d59979c80386875f53d031b9ad430e7 | refs/heads/master | 2021-07-17T07:33:34.650031 | 2017-10-20T08:55:07 | 2017-10-20T08:55:07 | 106,418,690 | 1 | 0 | null | 2017-10-10T13:09:53 | 2017-10-10T13:09:53 | null | UTF-8 | Python | false | false | 2,296 | py | # coding: utf-8
"""
BitMEX API
## REST API for the BitMEX Trading Platform [View Changelog](/app/apiChangelog) #### Getting Started ##### Fetching Data All REST endpoints are documented below. You can try out any query right from this interface. Most table queries accept `count`, `start`, and `reverse` params. Set `reverse=true` to get rows newest-first. Additional documentation regarding filters, timestamps, and authentication is available in [the main API documentation](https://www.bitmex.com/app/restAPI). *All* table data is available via the [Websocket](/app/wsAPI). We highly recommend using the socket if you want to have the quickest possible data without being subject to ratelimits. ##### Return Types By default, all data is returned as JSON. Send `?_format=csv` to get CSV data or `?_format=xml` to get XML data. ##### Trade Data Queries *This is only a small subset of what is available, to get you started.* Fill in the parameters and click the `Try it out!` button to try any of these queries. * [Pricing Data](#!/Quote/Quote_get) * [Trade Data](#!/Trade/Trade_get) * [OrderBook Data](#!/OrderBook/OrderBook_getL2) * [Settlement Data](#!/Settlement/Settlement_get) * [Exchange Statistics](#!/Stats/Stats_history) Every function of the BitMEX.com platform is exposed here and documented. Many more functions are available. ##### Swagger Specification [⇩ Download Swagger JSON](swagger.json) ## All API Endpoints Click to expand a section.
OpenAPI spec version: 1.2.0
Contact: [email protected]
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import os
import sys
import unittest
import swagger_client
from swagger_client.rest import ApiException
from swagger_client.models.stats_history import StatsHistory
class TestStatsHistory(unittest.TestCase):
""" StatsHistory unit test stubs """
def setUp(self):
pass
def tearDown(self):
pass
def testStatsHistory(self):
"""
Test StatsHistory
"""
# FIXME: construct object with mandatory attributes with example values
#model = swagger_client.models.stats_history.StatsHistory()
pass
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
] | |
081bf346fd7fa7c71ec3a2819deb97613cfcba02 | e37a1aab1dde2339c7e34ac7e7a158767fcd9023 | /Solutions/solution_018.py | 61dd1f757ab7cd414491e152fa2e956eceff3651 | [
"WTFPL"
] | permissive | idayat092/Project-Euler | f90ffa71e12a80b6f54de4f469e898fedc9877fe | 8fcd0d4cb126612d238516e88778a4bfd685ccf2 | refs/heads/master | 2022-03-07T18:21:38.103277 | 2019-11-09T05:30:01 | 2019-11-09T05:30:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,436 | py | """Problem 18: Maximum path sum I
By starting at the top of the triangle below and moving to adjacent numbers on the row below, the maximum total from top to bottom is 23.
3
7 4
2 4 6
8 5 9 3
That is, 3 + 7 + 4 + 9 = 23.
Find the maximum total from top to bottom of the triangle below:
NOTE: As there are only 16384 routes, it is possible to solve this problem by trying every route. However, Problem 67, is the same challenge with a triangle containing one-hundred rows; it cannot be solved by brute force, and requires a clever method! ;o)"""
triangle = [
[75],
[95, 64],
[17, 47, 82],
[18, 35, 87, 10],
[20, 4, 82, 47, 65],
[19, 1, 23, 75, 3, 34],
[88, 2, 77, 73, 7, 63, 67],
[99, 65, 4, 28, 6, 16, 70, 92],
[41, 41, 26, 56, 83, 40, 80, 70, 33],
[41, 48, 72, 33, 47, 32, 37, 16, 94, 29],
[53, 71, 44, 65, 25, 43, 91, 52, 97, 51, 14],
[70, 11, 33, 28, 77, 73, 17, 78, 39, 68, 17, 57],
[91, 71, 52, 38, 17, 14, 91, 43, 58, 50, 27, 29, 48],
[63, 66, 4, 68, 89, 53, 67, 30, 73, 16, 69, 87, 40, 31],
[4, 62, 98, 27, 23, 9, 70, 98, 73, 93, 38, 53, 60, 4, 23]
]
max_sequence = triangle[0][0]
last_index = 0
for _ in triangle[1:]:
max_num = max([_[last_index], _[last_index + 1]])
for i, j in enumerate(_):
if j == max_num and i in [last_index, last_index + 1]:
last_index = i
max_sequence += j
print(max_sequence)
| [
"[email protected]"
] | |
af69540816f7419ffc2f77af3c390426b6e34f54 | f08e50d55bbbb90e4c8f9a8811eaede98ede2694 | /erpbee/accounts/doctype/pricing_rule/test_pricing_rule.py | 6c4c239ce0ed4aa6d247e7e5efd87cdbd727019e | [] | no_license | mohrezbak/erpbee | bc48472a99a7f4357aa7b82ff3a9c1a4c98ba017 | 1134156ad337fd472e14cf347479c17bd8db7b33 | refs/heads/main | 2023-02-12T01:32:07.858555 | 2021-01-08T17:25:23 | 2021-01-08T17:25:23 | 327,872,762 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,469 | py | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import unittest
import frappe
from erpbee.selling.doctype.sales_order.test_sales_order import make_sales_order
from erpbee.accounts.doctype.sales_invoice.test_sales_invoice import create_sales_invoice
from erpbee.stock.get_item_details import get_item_details
from frappe import MandatoryError
from erpbee.stock.doctype.item.test_item import make_item
from erpbee.healthcare.doctype.lab_test_template.lab_test_template import make_item_price
class TestPricingRule(unittest.TestCase):
def setUp(self):
delete_existing_pricing_rules()
def tearDown(self):
delete_existing_pricing_rules()
def test_pricing_rule_for_discount(self):
from erpbee.stock.get_item_details import get_item_details
from frappe import MandatoryError
test_record = {
"doctype": "Pricing Rule",
"title": "_Test Pricing Rule",
"apply_on": "Item Code",
"items": [{
"item_code": "_Test Item"
}],
"currency": "USD",
"selling": 1,
"rate_or_discount": "Discount Percentage",
"rate": 0,
"discount_percentage": 10,
"company": "_Test Company"
}
frappe.get_doc(test_record.copy()).insert()
args = frappe._dict({
"item_code": "_Test Item",
"company": "_Test Company",
"price_list": "_Test Price List",
"currency": "_Test Currency",
"doctype": "Sales Order",
"conversion_rate": 1,
"price_list_currency": "_Test Currency",
"plc_conversion_rate": 1,
"order_type": "Sales",
"customer": "_Test Customer",
"name": None
})
details = get_item_details(args)
self.assertEqual(details.get("discount_percentage"), 10)
prule = frappe.get_doc(test_record.copy())
prule.applicable_for = "Customer"
prule.title = "_Test Pricing Rule for Customer"
self.assertRaises(MandatoryError, prule.insert)
prule.customer = "_Test Customer"
prule.discount_percentage = 20
prule.insert()
details = get_item_details(args)
self.assertEqual(details.get("discount_percentage"), 20)
prule = frappe.get_doc(test_record.copy())
prule.apply_on = "Item Group"
prule.items = []
prule.append('item_groups', {
'item_group': "All Item Groups"
})
prule.title = "_Test Pricing Rule for Item Group"
prule.discount_percentage = 15
prule.insert()
args.customer = "_Test Customer 1"
details = get_item_details(args)
self.assertEqual(details.get("discount_percentage"), 10)
prule = frappe.get_doc(test_record.copy())
prule.applicable_for = "Campaign"
prule.campaign = "_Test Campaign"
prule.title = "_Test Pricing Rule for Campaign"
prule.discount_percentage = 5
prule.priority = 8
prule.insert()
args.campaign = "_Test Campaign"
details = get_item_details(args)
self.assertEqual(details.get("discount_percentage"), 5)
frappe.db.sql("update `tabPricing Rule` set priority=NULL where campaign='_Test Campaign'")
from erpbee.accounts.doctype.pricing_rule.utils import MultiplePricingRuleConflict
self.assertRaises(MultiplePricingRuleConflict, get_item_details, args)
args.item_code = "_Test Item 2"
details = get_item_details(args)
self.assertEquals(details.get("discount_percentage"), 15)
def test_pricing_rule_for_margin(self):
from erpbee.stock.get_item_details import get_item_details
from frappe import MandatoryError
test_record = {
"doctype": "Pricing Rule",
"title": "_Test Pricing Rule",
"apply_on": "Item Code",
"items": [{
"item_code": "_Test FG Item 2",
}],
"selling": 1,
"currency": "USD",
"rate_or_discount": "Discount Percentage",
"rate": 0,
"margin_type": "Percentage",
"margin_rate_or_amount": 10,
"company": "_Test Company"
}
frappe.get_doc(test_record.copy()).insert()
item_price = frappe.get_doc({
"doctype": "Item Price",
"price_list": "_Test Price List 2",
"item_code": "_Test FG Item 2",
"price_list_rate": 100
})
item_price.insert(ignore_permissions=True)
args = frappe._dict({
"item_code": "_Test FG Item 2",
"company": "_Test Company",
"price_list": "_Test Price List",
"currency": "_Test Currency",
"doctype": "Sales Order",
"conversion_rate": 1,
"price_list_currency": "_Test Currency",
"plc_conversion_rate": 1,
"order_type": "Sales",
"customer": "_Test Customer",
"name": None
})
details = get_item_details(args)
self.assertEquals(details.get("margin_type"), "Percentage")
self.assertEquals(details.get("margin_rate_or_amount"), 10)
def test_mixed_conditions_for_item_group(self):
for item in ["Mixed Cond Item 1", "Mixed Cond Item 2"]:
make_item(item, {"item_group": "Products"})
make_item_price(item, "_Test Price List", 100)
test_record = {
"doctype": "Pricing Rule",
"title": "_Test Pricing Rule for Item Group",
"apply_on": "Item Group",
"item_groups": [
{
"item_group": "Products",
},
{
"item_group": "Seed",
},
],
"selling": 1,
"mixed_conditions": 1,
"currency": "USD",
"rate_or_discount": "Discount Percentage",
"discount_percentage": 10,
"applicable_for": "Customer Group",
"customer_group": "All Customer Groups",
"company": "_Test Company"
}
frappe.get_doc(test_record.copy()).insert()
args = frappe._dict({
"item_code": "Mixed Cond Item 1",
"item_group": "Products",
"company": "_Test Company",
"price_list": "_Test Price List",
"currency": "_Test Currency",
"doctype": "Sales Order",
"conversion_rate": 1,
"price_list_currency": "_Test Currency",
"plc_conversion_rate": 1,
"order_type": "Sales",
"customer": "_Test Customer",
"customer_group": "_Test Customer Group",
"name": None
})
details = get_item_details(args)
self.assertEquals(details.get("discount_percentage"), 10)
def test_pricing_rule_for_variants(self):
from erpbee.stock.get_item_details import get_item_details
from frappe import MandatoryError
if not frappe.db.exists("Item", "Test Variant PRT"):
frappe.get_doc({
"doctype": "Item",
"item_code": "Test Variant PRT",
"item_name": "Test Variant PRT",
"description": "Test Variant PRT",
"item_group": "_Test Item Group",
"is_stock_item": 1,
"variant_of": "_Test Variant Item",
"default_warehouse": "_Test Warehouse - _TC",
"stock_uom": "_Test UOM",
"attributes": [
{
"attribute": "Test Size",
"attribute_value": "Medium"
}
],
}).insert()
frappe.get_doc({
"doctype": "Pricing Rule",
"title": "_Test Pricing Rule 1",
"apply_on": "Item Code",
"currency": "USD",
"items": [{
"item_code": "_Test Variant Item",
}],
"selling": 1,
"rate_or_discount": "Discount Percentage",
"rate": 0,
"discount_percentage": 7.5,
"company": "_Test Company"
}).insert()
args = frappe._dict({
"item_code": "Test Variant PRT",
"company": "_Test Company",
"price_list": "_Test Price List",
"currency": "_Test Currency",
"doctype": "Sales Order",
"conversion_rate": 1,
"price_list_currency": "_Test Currency",
"plc_conversion_rate": 1,
"order_type": "Sales",
"customer": "_Test Customer",
"name": None
})
details = get_item_details(args)
self.assertEqual(details.get("discount_percentage"), 7.5)
# add a new pricing rule for that item code, it should take priority
frappe.get_doc({
"doctype": "Pricing Rule",
"title": "_Test Pricing Rule 2",
"apply_on": "Item Code",
"items": [{
"item_code": "Test Variant PRT",
}],
"currency": "USD",
"selling": 1,
"rate_or_discount": "Discount Percentage",
"rate": 0,
"discount_percentage": 17.5,
"company": "_Test Company"
}).insert()
details = get_item_details(args)
self.assertEqual(details.get("discount_percentage"), 17.5)
def test_pricing_rule_for_stock_qty(self):
test_record = {
"doctype": "Pricing Rule",
"title": "_Test Pricing Rule",
"apply_on": "Item Code",
"currency": "USD",
"items": [{
"item_code": "_Test Item",
}],
"selling": 1,
"rate_or_discount": "Discount Percentage",
"rate": 0,
"min_qty": 5,
"max_qty": 7,
"discount_percentage": 17.5,
"company": "_Test Company"
}
frappe.get_doc(test_record.copy()).insert()
if not frappe.db.get_value('UOM Conversion Detail',
{'parent': '_Test Item', 'uom': 'box'}):
item = frappe.get_doc('Item', '_Test Item')
item.append('uoms', {
'uom': 'Box',
'conversion_factor': 5
})
item.save(ignore_permissions=True)
# With pricing rule
so = make_sales_order(item_code="_Test Item", qty=1, uom="Box", do_not_submit=True)
so.items[0].price_list_rate = 100
so.submit()
so = frappe.get_doc('Sales Order', so.name)
self.assertEqual(so.items[0].discount_percentage, 17.5)
self.assertEqual(so.items[0].rate, 82.5)
# Without pricing rule
so = make_sales_order(item_code="_Test Item", qty=2, uom="Box", do_not_submit=True)
so.items[0].price_list_rate = 100
so.submit()
so = frappe.get_doc('Sales Order', so.name)
self.assertEqual(so.items[0].discount_percentage, 0)
self.assertEqual(so.items[0].rate, 100)
def test_pricing_rule_with_margin_and_discount(self):
frappe.delete_doc_if_exists('Pricing Rule', '_Test Pricing Rule')
make_pricing_rule(selling=1, margin_type="Percentage", margin_rate_or_amount=10, discount_percentage=10)
si = create_sales_invoice(do_not_save=True)
si.items[0].price_list_rate = 1000
si.payment_schedule = []
si.insert(ignore_permissions=True)
item = si.items[0]
self.assertEquals(item.margin_rate_or_amount, 10)
self.assertEquals(item.rate_with_margin, 1100)
self.assertEqual(item.discount_percentage, 10)
self.assertEquals(item.discount_amount, 110)
self.assertEquals(item.rate, 990)
def test_pricing_rule_for_product_discount_on_same_item(self):
frappe.delete_doc_if_exists('Pricing Rule', '_Test Pricing Rule')
test_record = {
"doctype": "Pricing Rule",
"title": "_Test Pricing Rule",
"apply_on": "Item Code",
"currency": "USD",
"items": [{
"item_code": "_Test Item",
}],
"selling": 1,
"rate_or_discount": "Discount Percentage",
"rate": 0,
"min_qty": 0,
"max_qty": 7,
"discount_percentage": 17.5,
"price_or_product_discount": "Product",
"same_item": 1,
"free_qty": 1,
"company": "_Test Company"
}
frappe.get_doc(test_record.copy()).insert()
# With pricing rule
so = make_sales_order(item_code="_Test Item", qty=1)
so.load_from_db()
self.assertEqual(so.items[1].is_free_item, 1)
self.assertEqual(so.items[1].item_code, "_Test Item")
def test_pricing_rule_for_product_discount_on_different_item(self):
frappe.delete_doc_if_exists('Pricing Rule', '_Test Pricing Rule')
test_record = {
"doctype": "Pricing Rule",
"title": "_Test Pricing Rule",
"apply_on": "Item Code",
"currency": "USD",
"items": [{
"item_code": "_Test Item",
}],
"selling": 1,
"rate_or_discount": "Discount Percentage",
"rate": 0,
"min_qty": 0,
"max_qty": 7,
"discount_percentage": 17.5,
"price_or_product_discount": "Product",
"same_item": 0,
"free_item": "_Test Item 2",
"free_qty": 1,
"company": "_Test Company"
}
frappe.get_doc(test_record.copy()).insert()
# With pricing rule
so = make_sales_order(item_code="_Test Item", qty=1)
so.load_from_db()
self.assertEqual(so.items[1].is_free_item, 1)
self.assertEqual(so.items[1].item_code, "_Test Item 2")
def test_cumulative_pricing_rule(self):
frappe.delete_doc_if_exists('Pricing Rule', '_Test Cumulative Pricing Rule')
test_record = {
"doctype": "Pricing Rule",
"title": "_Test Cumulative Pricing Rule",
"apply_on": "Item Code",
"currency": "USD",
"items": [{
"item_code": "_Test Item",
}],
"is_cumulative": 1,
"selling": 1,
"applicable_for": "Customer",
"customer": "_Test Customer",
"rate_or_discount": "Discount Percentage",
"rate": 0,
"min_amt": 0,
"max_amt": 10000,
"discount_percentage": 17.5,
"price_or_product_discount": "Price",
"company": "_Test Company",
"valid_from": frappe.utils.nowdate(),
"valid_upto": frappe.utils.nowdate()
}
frappe.get_doc(test_record.copy()).insert()
args = frappe._dict({
"item_code": "_Test Item",
"company": "_Test Company",
"price_list": "_Test Price List",
"currency": "_Test Currency",
"doctype": "Sales Invoice",
"conversion_rate": 1,
"price_list_currency": "_Test Currency",
"plc_conversion_rate": 1,
"order_type": "Sales",
"customer": "_Test Customer",
"name": None,
"transaction_date": frappe.utils.nowdate()
})
details = get_item_details(args)
self.assertTrue(details)
def test_pricing_rule_for_condition(self):
frappe.delete_doc_if_exists("Pricing Rule", "_Test Pricing Rule")
make_pricing_rule(selling=1, margin_type="Percentage", \
condition="customer=='_Test Customer 1' and is_return==0", discount_percentage=10)
# Incorrect Customer and Correct is_return value
si = create_sales_invoice(do_not_submit=True, customer="_Test Customer 2", is_return=0)
si.items[0].price_list_rate = 1000
si.submit()
item = si.items[0]
self.assertEquals(item.rate, 100)
# Correct Customer and Incorrect is_return value
si = create_sales_invoice(do_not_submit=True, customer="_Test Customer 1", is_return=1, qty=-1)
si.items[0].price_list_rate = 1000
si.submit()
item = si.items[0]
self.assertEquals(item.rate, 100)
# Correct Customer and correct is_return value
si = create_sales_invoice(do_not_submit=True, customer="_Test Customer 1", is_return=0)
si.items[0].price_list_rate = 1000
si.submit()
item = si.items[0]
self.assertEquals(item.rate, 900)
def test_multiple_pricing_rules(self):
make_pricing_rule(discount_percentage=20, selling=1, priority=1, apply_multiple_pricing_rules=1,
title="_Test Pricing Rule 1")
make_pricing_rule(discount_percentage=10, selling=1, title="_Test Pricing Rule 2", priority=2,
apply_multiple_pricing_rules=1)
si = create_sales_invoice(do_not_submit=True, customer="_Test Customer 1", qty=1)
self.assertEqual(si.items[0].discount_percentage, 30)
si.delete()
frappe.delete_doc_if_exists("Pricing Rule", "_Test Pricing Rule 1")
frappe.delete_doc_if_exists("Pricing Rule", "_Test Pricing Rule 2")
def test_multiple_pricing_rules_with_apply_discount_on_discounted_rate(self):
frappe.delete_doc_if_exists("Pricing Rule", "_Test Pricing Rule")
make_pricing_rule(discount_percentage=20, selling=1, priority=1, apply_multiple_pricing_rules=1,
title="_Test Pricing Rule 1")
make_pricing_rule(discount_percentage=10, selling=1, priority=2,
apply_discount_on_rate=1, title="_Test Pricing Rule 2", apply_multiple_pricing_rules=1)
si = create_sales_invoice(do_not_submit=True, customer="_Test Customer 1", qty=1)
self.assertEqual(si.items[0].discount_percentage, 28)
si.delete()
frappe.delete_doc_if_exists("Pricing Rule", "_Test Pricing Rule 1")
frappe.delete_doc_if_exists("Pricing Rule", "_Test Pricing Rule 2")
def test_item_price_with_pricing_rule(self):
item = make_item("Water Flask")
make_item_price("Water Flask", "_Test Price List", 100)
pricing_rule_record = {
"doctype": "Pricing Rule",
"title": "_Test Water Flask Rule",
"apply_on": "Item Code",
"items": [{
"item_code": "Water Flask",
}],
"selling": 1,
"currency": "INR",
"rate_or_discount": "Rate",
"rate": 0,
"margin_type": "Percentage",
"margin_rate_or_amount": 2,
"company": "_Test Company"
}
rule = frappe.get_doc(pricing_rule_record)
rule.insert()
si = create_sales_invoice(do_not_save=True, item_code="Water Flask")
si.selling_price_list = "_Test Price List"
si.save()
# If rate in Rule is 0, give preference to Item Price if it exists
self.assertEqual(si.items[0].price_list_rate, 100)
self.assertEqual(si.items[0].margin_rate_or_amount, 2)
self.assertEqual(si.items[0].rate_with_margin, 102)
self.assertEqual(si.items[0].rate, 102)
si.delete()
rule.delete()
frappe.get_doc("Item Price", {"item_code": "Water Flask"}).delete()
item.delete()
def test_pricing_rule_for_transaction(self):
make_item("Water Flask 1")
frappe.delete_doc_if_exists('Pricing Rule', '_Test Pricing Rule')
make_pricing_rule(selling=1, min_qty=5, price_or_product_discount="Product",
apply_on="Transaction", free_item="Water Flask 1", free_qty=1, free_item_rate=10)
si = create_sales_invoice(qty=5, do_not_submit=True)
self.assertEquals(len(si.items), 2)
self.assertEquals(si.items[1].rate, 10)
si1 = create_sales_invoice(qty=2, do_not_submit=True)
self.assertEquals(len(si1.items), 1)
for doc in [si, si1]:
doc.delete()
def make_pricing_rule(**args):
args = frappe._dict(args)
doc = frappe.get_doc({
"doctype": "Pricing Rule",
"title": args.title or "_Test Pricing Rule",
"company": args.company or "_Test Company",
"apply_on": args.apply_on or "Item Code",
"applicable_for": args.applicable_for,
"selling": args.selling or 0,
"currency": "USD",
"apply_discount_on_rate": args.apply_discount_on_rate or 0,
"buying": args.buying or 0,
"min_qty": args.min_qty or 0.0,
"max_qty": args.max_qty or 0.0,
"rate_or_discount": args.rate_or_discount or "Discount Percentage",
"discount_percentage": args.discount_percentage or 0.0,
"rate": args.rate or 0.0,
"margin_rate_or_amount": args.margin_rate_or_amount or 0.0,
"condition": args.condition or '',
"apply_multiple_pricing_rules": args.apply_multiple_pricing_rules or 0
})
for field in ["free_item", "free_qty", "free_item_rate", "priority",
"margin_type", "price_or_product_discount"]:
if args.get(field):
doc.set(field, args.get(field))
apply_on = doc.apply_on.replace(' ', '_').lower()
child_table = {'Item Code': 'items', 'Item Group': 'item_groups', 'Brand': 'brands'}
if doc.apply_on != "Transaction":
doc.append(child_table.get(doc.apply_on), {
apply_on: args.get(apply_on) or "_Test Item"
})
doc.insert(ignore_permissions=True)
if args.get(apply_on) and apply_on != "item_code":
doc.db_set(apply_on, args.get(apply_on))
applicable_for = doc.applicable_for.replace(' ', '_').lower()
if args.get(applicable_for):
doc.db_set(applicable_for, args.get(applicable_for))
def delete_existing_pricing_rules():
for doctype in ["Pricing Rule", "Pricing Rule Item Code",
"Pricing Rule Item Group", "Pricing Rule Brand"]:
frappe.db.sql("delete from `tab{0}`".format(doctype)) | [
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] | |
8edb1fa30b3189a1ec7c551c9d73c662805ee0de | ddd002cff6b4668c47a14e740ec780f2c03dcbd9 | /algorithms/quicksort.py | 30e026c5c0a83e1f09bff25e8aea55ff0667aaab | [] | no_license | wangonya/python_practice | 53b93bdf93b7a586df75040d4c26d25793b59ed9 | 70f45f950fb6e9619e4054cb1ea5f8d8db988f0e | refs/heads/master | 2020-04-02T07:33:06.647605 | 2018-12-19T07:25:26 | 2018-12-19T07:25:26 | 154,202,248 | 2 | 0 | null | 2018-12-16T05:02:05 | 2018-10-22T19:19:43 | Python | UTF-8 | Python | false | false | 526 | py | def quickSort(arr):
less = []
pivotList = []
more = []
if len(arr) <= 1:
return arr
else:
pivot = arr[0]
for i in arr:
if i < pivot:
less.append(i)
elif i > pivot:
more.append(i)
else:
pivotList.append(i)
less = quickSort(less)
more = quickSort(more)
return less + pivotList + more
if __name__ == '__main__':
arr = map(int, input().split())
print(quickSort(list(arr))) | [
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] | |
a956c5437ef70e9646509d41f4eb1a179730eac6 | ca0c3c1cdfdd714c7780c27fcecd4a2ae39d1474 | /src/fmf/apps/core/migrations/0001_initial.py | 19696394a44e5650c93214f629650c85c09d6a98 | [] | no_license | vasyabigi/fmf | fce88a45fb47f3f7652995af40b567ffdf27a4a0 | 988ba668f3ce6da2670b987a1eeae3c87761eac5 | refs/heads/master | 2021-01-23T07:29:52.185306 | 2012-08-27T13:11:51 | 2012-08-27T13:11:51 | 2,803,493 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,435 | py | # encoding: utf-8
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'IndexSliderImage'
db.create_table('core_indexsliderimage', (
('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('page', self.gf('django.db.models.fields.related.OneToOneField')(to=orm['flatpages.FlatPage'], unique=True)),
('image', self.gf('sorl.thumbnail.fields.ImageField')(max_length=100)),
('position', self.gf('django.db.models.fields.IntegerField')(default=-1)),
('is_active', self.gf('django.db.models.fields.BooleanField')(default=True)),
))
db.send_create_signal('core', ['IndexSliderImage'])
def backwards(self, orm):
# Deleting model 'IndexSliderImage'
db.delete_table('core_indexsliderimage')
models = {
'core.indexsliderimage': {
'Meta': {'ordering': "('position',)", 'object_name': 'IndexSliderImage'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'image': ('sorl.thumbnail.fields.ImageField', [], {'max_length': '100'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'page': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['flatpages.FlatPage']", 'unique': 'True'}),
'position': ('django.db.models.fields.IntegerField', [], {'default': '-1'})
},
'flatpages.flatpage': {
'Meta': {'ordering': "('url',)", 'object_name': 'FlatPage', 'db_table': "'django_flatpage'"},
'content': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'content_en': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'content_uk': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'enable_comments': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'registration_required': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'sites': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['sites.Site']", 'symmetrical': 'False'}),
'template_name': ('django.db.models.fields.CharField', [], {'max_length': '70', 'blank': 'True'}),
'title': ('django.db.models.fields.CharField', [], {'max_length': '200'}),
'title_en': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}),
'title_uk': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}),
'url': ('django.db.models.fields.CharField', [], {'max_length': '100', 'db_index': 'True'})
},
'sites.site': {
'Meta': {'ordering': "('domain',)", 'object_name': 'Site', 'db_table': "'django_site'"},
'domain': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})
}
}
complete_apps = ['core']
| [
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] | |
61a6e75b11db9f3519abe6b262fd42d9f9963545 | 1f63dde39fcc5f8be29f2acb947c41f1b6f1683e | /Boss2D/addon/tensorflow-1.2.1_for_boss/tensorflow/contrib/tfprof/python/tools/tfprof/print_model_analysis_test.py | c3e9fc9cc099f144f81235a944221fa05b6b398c | [
"MIT",
"Apache-2.0"
] | permissive | koobonil/Boss2D | 09ca948823e0df5a5a53b64a10033c4f3665483a | e5eb355b57228a701495f2660f137bd05628c202 | refs/heads/master | 2022-10-20T09:02:51.341143 | 2019-07-18T02:13:44 | 2019-07-18T02:13:44 | 105,999,368 | 7 | 2 | MIT | 2022-10-04T23:31:12 | 2017-10-06T11:57:07 | C++ | UTF-8 | Python | false | false | 7,110 | py | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""print_model_analysis test."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from google.protobuf import text_format
from tensorflow.python.client import session
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import init_ops
from tensorflow.python.ops import nn_ops
from tensorflow.python.ops import variable_scope
from tensorflow.python.platform import test
from tensorflow.tools.tfprof import tfprof_options_pb2
from tensorflow.tools.tfprof import tfprof_output_pb2
# XXX: this depends on pywrap_tensorflow and must come later
from tensorflow.contrib.tfprof.python.tools.tfprof import pywrap_tensorflow_print_model_analysis_lib as print_mdl
# pylint: disable=bad-whitespace
# pylint: disable=bad-continuation
TEST_OPTIONS = {
'max_depth': 10000,
'min_bytes': 0,
'min_micros': 0,
'min_params': 0,
'min_float_ops': 0,
'device_regexes': ['.*'],
'order_by': 'name',
'account_type_regexes': ['.*'],
'start_name_regexes': ['.*'],
'trim_name_regexes': [],
'show_name_regexes': ['.*'],
'hide_name_regexes': [],
'account_displayed_op_only': True,
'select': ['params'],
'output': 'stdout',
}
# pylint: enable=bad-whitespace
# pylint: enable=bad-continuation
class PrintModelAnalysisTest(test.TestCase):
def _BuildSmallModel(self):
image = array_ops.zeros([2, 6, 6, 3])
kernel = variable_scope.get_variable(
'DW', [6, 6, 3, 6],
dtypes.float32,
initializer=init_ops.random_normal_initializer(stddev=0.001))
x = nn_ops.conv2d(image, kernel, [1, 2, 2, 1], padding='SAME')
return x
def testPrintModelAnalysis(self):
opts = tfprof_options_pb2.OptionsProto()
opts.max_depth = TEST_OPTIONS['max_depth']
opts.min_bytes = TEST_OPTIONS['min_bytes']
opts.min_micros = TEST_OPTIONS['min_micros']
opts.min_params = TEST_OPTIONS['min_params']
opts.min_float_ops = TEST_OPTIONS['min_float_ops']
for p in TEST_OPTIONS['device_regexes']:
opts.device_regexes.append(p)
opts.order_by = TEST_OPTIONS['order_by']
for p in TEST_OPTIONS['account_type_regexes']:
opts.account_type_regexes.append(p)
for p in TEST_OPTIONS['start_name_regexes']:
opts.start_name_regexes.append(p)
for p in TEST_OPTIONS['trim_name_regexes']:
opts.trim_name_regexes.append(p)
for p in TEST_OPTIONS['show_name_regexes']:
opts.show_name_regexes.append(p)
for p in TEST_OPTIONS['hide_name_regexes']:
opts.hide_name_regexes.append(p)
opts.account_displayed_op_only = TEST_OPTIONS['account_displayed_op_only']
for p in TEST_OPTIONS['select']:
opts.select.append(p)
opts.output = TEST_OPTIONS['output']
with session.Session() as sess, ops.device('/cpu:0'):
_ = self._BuildSmallModel()
tfprof_pb = tfprof_output_pb2.TFGraphNodeProto()
tfprof_pb.ParseFromString(
print_mdl.PrintModelAnalysis(
sess.graph.as_graph_def().SerializeToString(),
b'', b'', b'scope', opts.SerializeToString()))
expected_pb = tfprof_output_pb2.TFGraphNodeProto()
text_format.Merge(r"""name: "_TFProfRoot"
exec_micros: 0
requested_bytes: 0
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 648
children {
name: "Conv2D"
exec_micros: 0
requested_bytes: 0
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 0
float_ops: 0
total_float_ops: 0
}
children {
name: "DW"
exec_micros: 0
requested_bytes: 0
parameters: 648
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 648
children {
name: "DW/Assign"
exec_micros: 0
requested_bytes: 0
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 0
float_ops: 0
total_float_ops: 0
}
children {
name: "DW/Initializer"
exec_micros: 0
requested_bytes: 0
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 0
children {
name: "DW/Initializer/random_normal"
exec_micros: 0
requested_bytes: 0
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 0
children {
name: "DW/Initializer/random_normal/RandomStandardNormal"
exec_micros: 0
requested_bytes: 0
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 0
float_ops: 0
total_float_ops: 0
}
children {
name: "DW/Initializer/random_normal/mean"
exec_micros: 0
requested_bytes: 0
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 0
float_ops: 0
total_float_ops: 0
}
children {
name: "DW/Initializer/random_normal/mul"
exec_micros: 0
requested_bytes: 0
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 0
float_ops: 0
total_float_ops: 0
}
children {
name: "DW/Initializer/random_normal/shape"
exec_micros: 0
requested_bytes: 0
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 0
float_ops: 0
total_float_ops: 0
}
children {
name: "DW/Initializer/random_normal/stddev"
exec_micros: 0
requested_bytes: 0
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 0
float_ops: 0
total_float_ops: 0
}
float_ops: 0
total_float_ops: 0
}
float_ops: 0
total_float_ops: 0
}
children {
name: "DW/read"
exec_micros: 0
requested_bytes: 0
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 0
float_ops: 0
total_float_ops: 0
}
float_ops: 0
total_float_ops: 0
}
children {
name: "zeros"
exec_micros: 0
requested_bytes: 0
total_exec_micros: 0
total_requested_bytes: 0
total_parameters: 0
float_ops: 0
total_float_ops: 0
}
float_ops: 0
total_float_ops: 0""", expected_pb)
self.assertEqual(expected_pb, tfprof_pb)
if __name__ == '__main__':
test.main()
| [
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] | |
eabe3ee069129823ec57dca7dea81d3a8c2f7f0f | de64b143a346585f51590bd674e8d13bbc672386 | /algorithm/2023/0530_743_Network_Delay_Time/Euihyun.py | 7b37ba25dc97c748f4d9722f0e74732f52b04da8 | [] | no_license | ai-kmu/etc | 304ec20f59e4026025abdcbcae21863c80630dcb | 9c29941e19b7dd2a2037b110dd6e16690e9a0cc2 | refs/heads/master | 2023-08-21T16:30:31.149956 | 2023-08-21T16:26:19 | 2023-08-21T16:26:19 | 199,843,899 | 3 | 24 | null | 2023-05-31T09:56:59 | 2019-07-31T11:36:16 | Jupyter Notebook | UTF-8 | Python | false | false | 1,766 | py | # 흠 오랜만에 다익스트라 푸니까 못풀겠네요... 솔루션 봤습니다.
# 그래서 리뷰는 괜찮아요!
import heapq
class Solution(object):
def networkDelayTime(self, times, n, k):
# 그래프 초기화
# 인접 리스트로 그래프 표현
graph = [[] for _ in range(n+1)]
for u, v, w in times:
# u에서 v로 가는 간선의 정보 저장
graph[u].append((v, w))
# 최단 거리 초기화
dist = [float('inf')] * (n+1)
# 출발 노드의 최단 거리 0
dist[k] = 0
# 우선순위 큐 초기화
# (거리, 노드) 쌍을 저장하는 우선순위 큐
pq = [(0, k)]
while pq:
# 우선순위 큐에서 가장 작은 거리를 가지는 노드 선택
d, node = heapq.heappop(pq)
# 이미 처리된 노드 스킵
if d > dist[node]:
continue
# 인접 노드 순회
for neighbor, delay in graph[node]:
# 현재 노드를 거쳐 인접 노드로 가는 거리 계산
new_dist = d + delay
# 더 짧은 거리를 찾은 경우
if new_dist < dist[neighbor]:
# 최단 거리 업데이트
# 우선순위 큐에 삽입
dist[neighbor] = new_dist
heapq.heappush(pq, (new_dist, neighbor))
# 모든 노드의 최단 거리 중 가장 큰 값을 찾음
max_delay = max(dist[1:])
# 모든 노드에 도달할 수 없는 경우 0 아님 max리턴
if max_delay == float('inf'):
return -1
else:
return max_delay
| [
"[email protected]"
] | |
fa5e2514f9cf03fda65eafbc2e83da73caeab49e | 3abe579ffc36cffef882bd23139c8112dc18b5eb | /nodeeditor/node_edge.py | 7380edde1767614f6725da1367c056ef702d0e36 | [] | no_license | huazhicai/nodeEditor | 3663950221a2fa8ee9a9aa9f5718d20722d9ecf4 | cb9ed8c1e57614c9bc2242b948ce8361d71fa4be | refs/heads/master | 2020-07-06T05:34:55.186396 | 2019-09-02T08:12:38 | 2019-09-02T08:12:38 | 202,908,526 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,970 | py | from nodeeditor.node_graphics_edge import *
EDGE_TYPE_DIRECT = 1
EDGE_TYPE_BEZIER = 2
DEBUG = False
class Edge(Serializable):
def __init__(self, scene, start_socket=None, end_socket=None, edge_type=EDGE_TYPE_DIRECT):
super().__init__()
self.scene = scene
# default init
self._start_socket = None
self._end_socket = None
self.start_socket = start_socket
self.end_socket = end_socket
self.edge_type = edge_type
self.scene.addEdge(self)
def __str__(self):
return "<Edge %s..%s>" % (hex(id(self))[2:5], hex(id(self))[-3:])
@property
def start_socket(self):
return self._start_socket
@start_socket.setter
def start_socket(self, value):
# if we were assigned to some socket before, delete us from the socket
if self._start_socket is not None:
self._start_socket.removeEdge(self)
# assign new start socket
self._start_socket = value
# addEdge to the Socket class
if self.start_socket is not None:
self.start_socket.addEdge(self)
@property
def end_socket(self):
return self._end_socket
@end_socket.setter
def end_socket(self, value):
# if we were assigned to some socket before, delete us from the socket
if self._end_socket is not None:
self._end_socket.removeEdge(self)
# assign new end socket
self._end_socket = value
# addEdge to the Socket class
if self.end_socket is not None:
self.end_socket.addEdge(self)
@property
def edge_type(self):
return self._edge_type
@edge_type.setter
def edge_type(self, value):
if hasattr(self, 'grEdge') and self.grEdge is not None:
self.scene.grScene.removeItem(self.grEdge)
self._edge_type = value
if self.edge_type == EDGE_TYPE_DIRECT:
self.grEdge = QDMGraphicsEdgeDirect(self)
elif self.edge_type == EDGE_TYPE_BEZIER:
self.grEdge = QDMGraphicsEdgeBezier(self)
else:
self.grEdge = QDMGraphicsEdgeBezier(self)
self.scene.grScene.addItem(self.grEdge)
if self.start_socket is not None:
self.updatePositions()
def updatePositions(self):
source_pos = self.start_socket.getSocketPosition()
source_pos[0] += self.start_socket.node.grNode.pos().x()
source_pos[1] += self.start_socket.node.grNode.pos().y()
self.grEdge.setSource(*source_pos)
if self.end_socket is not None:
end_pos = self.end_socket.getSocketPosition()
end_pos[0] += self.end_socket.node.grNode.pos().x()
end_pos[1] += self.end_socket.node.grNode.pos().y()
self.grEdge.setDestination(*end_pos)
else:
self.grEdge.setDestination(*source_pos)
self.grEdge.update()
def remove_from_sockets(self):
self.end_socket = None
self.start_socket = None
def remove(self):
if DEBUG: print("# Removing Edge", self)
if DEBUG: print(" - remove edge from all sockets")
self.remove_from_sockets()
if DEBUG: print(" - remove grEdge")
self.scene.grScene.removeItem(self.grEdge)
self.grEdge = None
if DEBUG: print(" - remove edge from scene")
try:
self.scene.removeEdge(self)
except ValueError:
pass
if DEBUG: print(" - everything is done.")
def serialize(self):
return OrderedDict([
('id', self.id),
('edge_type', self.edge_type),
('start', self.start_socket.id),
('end', self.end_socket.id),
])
def deserialize(self, data, hashmap={}, restore_id=True):
if restore_id: self.id = data['id']
self.start_socket = hashmap[data['start']]
self.end_socket = hashmap[data['end']]
self.edge_type = data['edge_type']
| [
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] | |
c6a43174111768e064e7f6c251e16fa309e4c6ac | 057d2d1e2a78fc89851154e87b0b229e1e1f003b | /venv/Lib/site-packages/keystoneauth1/tests/unit/k2k_fixtures.py | f78cb0ef084ac7c36a3534ff0e66d62666f5d365 | [
"Apache-2.0"
] | permissive | prasoon-uta/IBM-Cloud-Secure-File-Storage | 276dcbd143bd50b71121a73bc01c8e04fe3f76b0 | 82a6876316715efbd0b492d0d467dde0ab26a56b | refs/heads/master | 2022-12-13T00:03:31.363281 | 2018-02-22T02:24:11 | 2018-02-22T02:24:11 | 122,420,622 | 0 | 2 | Apache-2.0 | 2022-12-08T05:15:19 | 2018-02-22T02:26:48 | Python | UTF-8 | Python | false | false | 5,454 | py | # 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.
UNSCOPED_TOKEN_HEADER = 'UNSCOPED_TOKEN'
UNSCOPED_TOKEN = {
"token": {
"issued_at": "2014-06-09T09:48:59.643406Z",
"extras": {},
"methods": ["token"],
"expires_at": "2014-06-09T10:48:59.643375Z",
"user": {
"OS-FEDERATION": {
"identity_provider": {
"id": "testshib"
},
"protocol": {
"id": "saml2"
},
"groups": [
{"id": "1764fa5cf69a49a4918131de5ce4af9a"}
]
},
"id": "testhib%20user",
"name": "testhib user"
}
}
}
SAML_ENCODING = "<?xml version='1.0' encoding='UTF-8'?>"
TOKEN_SAML_RESPONSE = """
<ns2:Response Destination="http://beta.example.com/Shibboleth.sso/POST/ECP"
ID="8c21de08d2f2435c9acf13e72c982846"
IssueInstant="2015-03-25T14:43:21Z"
Version="2.0">
<saml:Issuer Format="urn:oasis:names:tc:SAML:2.0:nameid-format:entity">
http://keystone.idp/v3/OS-FEDERATION/saml2/idp
</saml:Issuer>
<ns2:Status>
<ns2:StatusCode Value="urn:oasis:names:tc:SAML:2.0:status:Success"/>
</ns2:Status>
<saml:Assertion ID="a5f02efb0bff4044b294b4583c7dfc5d"
IssueInstant="2015-03-25T14:43:21Z" Version="2.0">
<saml:Issuer Format="urn:oasis:names:tc:SAML:2.0:nameid-format:entity">
http://keystone.idp/v3/OS-FEDERATION/saml2/idp</saml:Issuer>
<xmldsig:Signature>
<xmldsig:SignedInfo>
<xmldsig:CanonicalizationMethod
Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"/>
<xmldsig:SignatureMethod
Algorithm="http://www.w3.org/2000/09/xmldsig#rsa-sha1"/>
<xmldsig:Reference URI="#a5f02efb0bff4044b294b4583c7dfc5d">
<xmldsig:Transforms>
<xmldsig:Transform
Algorithm="http://www.w3.org/2000/09/xmldsig#
enveloped-signature"/>
<xmldsig:Transform
Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"/>
</xmldsig:Transforms>
<xmldsig:DigestMethod
Algorithm="http://www.w3.org/2000/09/xmldsig#sha1"/>
<xmldsig:DigestValue>
0KH2CxdkfzU+6eiRhTC+mbObUKI=
</xmldsig:DigestValue>
</xmldsig:Reference>
</xmldsig:SignedInfo>
<xmldsig:SignatureValue>
m2jh5gDvX/1k+4uKtbb08CHp2b9UWsLw
</xmldsig:SignatureValue>
<xmldsig:KeyInfo>
<xmldsig:X509Data>
<xmldsig:X509Certificate>...</xmldsig:X509Certificate>
</xmldsig:X509Data>
</xmldsig:KeyInfo>
</xmldsig:Signature>
<saml:Subject>
<saml:NameID>admin</saml:NameID>
<saml:SubjectConfirmation Method="urn:oasis:names:tc:SAML:2.0:cm:bearer">
<saml:SubjectConfirmationData
NotOnOrAfter="2015-03-25T15:43:21.172385Z"
Recipient="http://beta.example.com/Shibboleth.sso/POST/ECP"/>
</saml:SubjectConfirmation>
</saml:Subject>
<saml:AuthnStatement AuthnInstant="2015-03-25T14:43:21Z"
SessionIndex="9790eb729858456f8a33b7a11f0a637e"
SessionNotOnOrAfter="2015-03-25T15:43:21.172385Z">
<saml:AuthnContext>
<saml:AuthnContextClassRef>
urn:oasis:names:tc:SAML:2.0:ac:classes:Password
</saml:AuthnContextClassRef>
<saml:AuthenticatingAuthority>
http://keystone.idp/v3/OS-FEDERATION/saml2/idp
</saml:AuthenticatingAuthority>
</saml:AuthnContext>
</saml:AuthnStatement>
<saml:AttributeStatement>
<saml:Attribute Name="openstack_user"
NameFormat="urn:oasis:names:tc:SAML:2.0:attrname-format:uri">
<saml:AttributeValue xsi:type="xs:string">admin</saml:AttributeValue>
</saml:Attribute>
<saml:Attribute Name="openstack_roles"
NameFormat="urn:oasis:names:tc:SAML:2.0:attrname-format:uri">
<saml:AttributeValue xsi:type="xs:string">admin</saml:AttributeValue>
</saml:Attribute>
<saml:Attribute Name="openstack_project"
NameFormat="urn:oasis:names:tc:SAML:2.0:attrname-format:uri">
<saml:AttributeValue xsi:type="xs:string">admin</saml:AttributeValue>
</saml:Attribute>
</saml:AttributeStatement>
</saml:Assertion>
</ns2:Response>
"""
TOKEN_BASED_SAML = ''.join([SAML_ENCODING, TOKEN_SAML_RESPONSE])
ECP_ENVELOPE = """
<ns0:Envelope
xmlns:ns0="http://schemas.xmlsoap.org/soap/envelope/"
xmlns:ns1="urn:oasis:names:tc:SAML:2.0:profiles:SSO:ecp"
xmlns:ns2="urn:oasis:names:tc:SAML:2.0:protocol"
xmlns:saml="urn:oasis:names:tc:SAML:2.0:assertion"
xmlns:xmldsig="http://www.w3.org/2000/09/xmldsig#"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<ns0:Header>
<ns1:RelayState
ns0:actor="http://schemas.xmlsoap.org/soap/actor/next"
ns0:mustUnderstand="1">
ss:mem:1ddfe8b0f58341a5a840d2e8717b0737
</ns1:RelayState>
</ns0:Header>
<ns0:Body>
{0}
</ns0:Body>
</ns0:Envelope>
""".format(TOKEN_SAML_RESPONSE)
TOKEN_BASED_ECP = ''.join([SAML_ENCODING, ECP_ENVELOPE])
| [
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] | |
620722b8e666fc4571d412bce02d149322242609 | 07b41bc2423e5d073ddcd1da47e534d981ccbe78 | /backend/marjan_fashion_24858/wsgi.py | 73586b0a2cd945c35d8ed73ebf117886439c5c00 | [] | no_license | crowdbotics-apps/marjan-fashion-24858 | e1fe2cba555d9fef7b17d74e31cd9dc7b72f8a80 | aafa62f5fb59466ce4028e774d7e401dc712294f | refs/heads/master | 2023-03-21T15:28:10.057904 | 2021-03-05T04:12:52 | 2021-03-05T04:12:52 | 344,690,632 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 417 | py | """
WSGI config for marjan_fashion_24858 project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "marjan_fashion_24858.settings")
application = get_wsgi_application()
| [
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] | |
148a6f9052995914110fda1fdc097a42f961f4ed | bc5c8585b401ebcb90932571cae11b9603e2ef56 | /tests/test_modules/test_pmac/test_rawmotorcspart.py | fd4179ec25a4cec13f729c1f71ef46e207b2dd2c | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | jamesmudd/pymalcolm | 8e22a9e20868d9f0d04dfb3a6b276aaa3e202590 | 66993756c802cadca70ea07b437c5c2395af3f67 | refs/heads/master | 2020-04-19T10:54:38.766494 | 2019-01-29T12:48:22 | 2019-01-29T12:48:22 | 168,153,411 | 0 | 0 | null | 2019-01-29T12:46:41 | 2019-01-29T12:46:41 | null | UTF-8 | Python | false | false | 2,817 | py | import unittest
from mock import patch
from malcolm.core import Process, AlarmSeverity
from malcolm.modules.builtin.controllers import StatefulController
from malcolm.modules.pmac.parts import RawMotorCSPart
class castr(str):
ok = True
severity = 0
class caenum(int):
ok = True
severity = 0
enums = ["ANYTHING", "BRICK1CS1", "BRICK1CS2"]
@patch("malcolm.modules.ca.util.catools")
class TestRawMotorCSPart(unittest.TestCase):
def setUp(self):
self.process = Process("proc")
self.o = RawMotorCSPart("cs", "PV:PRE")
c = StatefulController("mri")
c.add_part(self.o)
self.process.add_controller(c)
self.b = self.process.block_view("mri")
self.addCleanup(self.process.stop)
def do_init(self, catools):
catools.caget.side_effect = [[
caenum(2), castr("I"),
caenum(1), castr("A")
]]
self.process.start()
def test_init(self, catools):
self.do_init(catools)
catools.caget.assert_called_once_with(
["PV:PRE:CsPort", "PV:PRE:CsAxis", "PV:PRE:CsPort_RBV",
"PV:PRE:CsAxis_RBV"], format=catools.FORMAT_CTRL)
assert list(self.b) == [
'meta', 'health', 'state', 'disable', 'reset', 'cs']
assert self.b.cs.value == "BRICK1CS1,A"
def test_update_axis(self, catools):
self.do_init(catools)
update = castr("I")
self.o._update_value(update, 1)
assert self.b.cs.value == "BRICK1CS1,I"
def test_update_port(self, catools):
self.do_init(catools)
update = caenum(2)
self.o._update_value(update, 0)
assert self.b.cs.value == "BRICK1CS2,A"
def test_update_disconnect(self, catools):
self.do_init(catools)
update = caenum(0)
self.o._update_value(update, 0)
assert self.b.cs.value == ""
def test_update_bad(self, catools):
self.do_init(catools)
update = castr("")
update.ok = False
self.o._update_value(update, 1)
assert self.b.cs.value == ""
assert self.b.cs.alarm.severity == AlarmSeverity.INVALID_ALARM
def test_caput(self, catools):
self.do_init(catools)
catools.caget.side_effect = [[caenum(2), castr("Y")]]
self.o.caput("BRICK1CS2,X")
catools.caput.assert_called_once_with(
['PV:PRE:CsPort', 'PV:PRE:CsAxis'], (2, 'X'), wait=True
)
assert self.b.cs.value == "BRICK1CS2,Y"
def test_caput_none(self, catools):
self.do_init(catools)
catools.caget.side_effect = [[caenum(0), castr("")]]
self.o.caput("")
catools.caput.assert_called_once_with(
['PV:PRE:CsPort', 'PV:PRE:CsAxis'], (0, ''), wait=True
)
assert self.b.cs.value == ""
| [
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] | |
b1abce58ea0b8c1778eb52d4460c4b39051b3a84 | 5e381364c2ab31ff3618369085afffba6caa8edb | /recipes/vulkan-memory-allocator/all/test_package/conanfile.py | 7ef741773e9b018c9294979a6fd565987ff4c823 | [
"MIT"
] | permissive | CAMOBAP/conan-center-index | 16aea68a6d22da22831ba985773125e8eda08f00 | 67d57532bdad549fef3fa6cb8fcdfa86bc55e4f1 | refs/heads/master | 2023-07-30T08:58:57.285571 | 2021-10-02T14:57:54 | 2021-10-02T14:57:54 | 323,262,699 | 1 | 0 | MIT | 2021-05-29T13:37:04 | 2020-12-21T07:30:02 | Python | UTF-8 | Python | false | false | 453 | py | import os
from conans import ConanFile, CMake, tools
class VulkanMemoryAllocatorTestConan(ConanFile):
settings = "os", "compiler", "build_type", "arch"
generators = "cmake"
def build(self):
cmake = CMake(self)
cmake.configure()
cmake.build()
def test(self):
if not tools.cross_building(self):
bin_path = os.path.join("bin", "example")
self.run(bin_path, run_environment=True)
| [
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] | |
28a9ef3e533c226aefda479bb8b0e46a24cb8edb | 781e2692049e87a4256320c76e82a19be257a05d | /all_data/exercism_data/python/point-mutations/4b3ba2b7e4d141ba80593132e1355e5f.py | 353661c3c32ce019cb5d2a587d707fb05742eeeb | [] | no_license | itsolutionscorp/AutoStyle-Clustering | 54bde86fe6dbad35b568b38cfcb14c5ffaab51b0 | be0e2f635a7558f56c61bc0b36c6146b01d1e6e6 | refs/heads/master | 2020-12-11T07:27:19.291038 | 2016-03-16T03:18:00 | 2016-03-16T03:18:42 | 59,454,921 | 4 | 0 | null | 2016-05-23T05:40:56 | 2016-05-23T05:40:56 | null | UTF-8 | Python | false | false | 453 | py | class DNA(object):
"""Class representing DNA strand."""
def __init__(self, strand):
self.strand = strand
def hamming_distance(self, strand):
"""Method calculating Hamming distance between object's DNA strand
and given one."""
n = min(len(self.strand), len(strand))
k = 0
for i in range(0, n):
if self.strand[i] != strand[i]:
k += 1
return k
| [
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] | |
7aeec444fe3ba90e5d5ed5656787c5901123d63e | f3179576d85369e9834df0810d57289c04c0b929 | /account/migrations/0001_initial.py | a779a9f50a0b638e654c6fe796a6aac162e6f182 | [] | no_license | kolamor/template_django_site | cadd75931b460790a162ee6d5e3371140fd2098e | ee7972ca1a65e006a750bbe67f6605ac89248956 | refs/heads/master | 2022-12-11T00:43:17.809358 | 2020-09-16T20:21:27 | 2020-09-16T20:21:27 | 295,774,229 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 845 | py | # Generated by Django 3.1.1 on 2020-09-14 20:20
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='Profile',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date_of_birth', models.DateField(blank=True, null=True)),
('photo', models.ImageField(blank=True, upload_to='users/%Y/%m/%d/')),
('user', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
),
]
| [
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] | |
ebf4a1a93a43e70e379c629e7655ea0504e22e52 | 649bd422025e421d86025743eac324c9b882a2e8 | /exam/1_three-dimensional_atomic_system/dump/phasetrans/temp210_10000.py | 082ba610673f7da75273657839b7b5ca28e987a1 | [] | no_license | scheuclu/atom_class | 36ddee1f6a5995872e858add151c5942c109847c | 0c9a8c63d9b38898c1869fe8983126cef17662cd | refs/heads/master | 2021-01-21T10:52:28.448221 | 2017-03-07T23:04:41 | 2017-03-07T23:04:41 | 83,489,471 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 68,768 | py | ITEM: TIMESTEP
10000
ITEM: NUMBER OF ATOMS
2048
ITEM: BOX BOUNDS pp pp pp
-1.7253288531241989e+02 2.1973288531246422e+02
-1.7253288531241989e+02 2.1973288531246422e+02
-1.7253288531241989e+02 2.1973288531246422e+02
ITEM: ATOMS id type xs ys zs
1454 1 0.695244 0.477366 0.481338
1279 1 0.312395 0.0513861 0.0145019
437 1 0.304166 0.227645 0.035772
1555 1 0.199406 0.0658642 0.0228105
1485 1 0.00850367 0.314375 0.489059
496 1 0.997456 0.195937 0.0340957
1458 1 0.660345 0.146648 0.00672957
1235 1 0.873803 0.0864834 0.172646
741 1 0.41321 0.472298 0.432778
786 1 0.785758 0.209448 0.481834
342 1 0.0572125 0.221187 0.00185297
519 1 0.943445 0.12996 0.0512407
899 1 0.851662 0.495324 0.0302205
40 1 0.438798 0.400294 0.0144851
861 1 0.28304 0.00435151 0.0164769
876 1 0.46394 0.389669 0.116138
1175 1 0.554281 0.358782 0.0139523
73 1 0.263947 0.466213 0.0718706
346 1 0.435167 0.383729 0.0243973
572 1 0.129436 0.456354 0.0146444
1131 1 0.916192 0.441993 0.0595906
1842 1 0.971055 0.200152 0.0225143
553 1 0.0778543 0.0690825 0.0587625
2007 1 0.57979 0.0692342 0.0332274
1069 1 0.391388 0.154662 0.010039
699 1 0.332556 0.246682 0.0936877
77 1 0.521748 0.0969312 0.477632
853 1 0.520699 0.181018 0.0819865
717 1 0.4056 0.230029 0.06709
987 1 0.606545 0.0528533 0.0836582
1132 1 0.221097 0.35265 0.0267901
627 1 0.774901 0.00438502 0.462437
238 1 0.39515 0.446942 0.347548
1937 1 0.0658047 0.394787 0.00629857
1371 1 0.362161 0.391279 0.0561307
1243 1 0.367564 0.466525 0.0228114
1752 1 0.713377 0.367169 0.0302757
531 1 0.985743 0.428195 0.0440591
1024 1 0.742234 0.341831 0.00873548
472 1 0.341768 0.177097 0.0286794
1743 1 0.639456 0.46986 0.006425
557 1 0.154927 0.0261693 0.0143668
26 1 0.310074 0.0409502 0.0494753
943 1 0.692821 0.0552959 0.0314224
1895 1 0.451387 0.0275121 0.117325
1011 1 0.118213 0.13909 0.0462753
896 1 0.894307 0.189667 0.0852813
684 1 0.147262 0.287034 0.0850401
1020 1 0.3836 0.242923 0.0515319
709 1 0.839706 0.305725 0.0238699
1199 1 0.689342 0.28446 0.0619491
981 1 0.508358 0.406985 0.0359357
1275 1 0.227894 0.238557 0.4872
1741 1 0.713734 0.0592674 0.0883285
1774 1 0.556869 0.0370058 0.0370315
1644 1 0.901024 0.0503293 0.0795708
818 1 0.0134109 0.112764 0.0710522
1130 1 0.0909747 0.0977567 0.0805969
920 1 0.441621 0.108453 0.0642677
711 1 0.100633 0.0945463 0.0707501
1520 1 0.231189 0.0750411 0.0903268
129 1 0.603712 0.0820673 0.0611947
635 1 0.33346 0.183301 0.126439
966 1 0.664388 0.215425 0.0592592
887 1 0.346203 0.155529 0.0602407
940 1 0.770966 0.21239 0.0870766
1996 1 0.0768091 0.203259 0.102658
648 1 0.937532 0.237072 0.00186892
642 1 0.338221 0.267831 0.0140516
1079 1 0.318675 0.228998 0.11557
771 1 0.538599 0.347201 0.00266545
590 1 0.371257 0.394507 0.0627141
934 1 0.698058 0.387656 0.116153
1998 1 0.285699 0.460361 0.131076
532 1 0.457943 0.0369451 0.0543785
675 1 0.979902 0.00820361 0.0919382
517 1 0.590037 0.0854222 0.067278
1246 1 0.172794 0.14743 0.0812459
245 1 0.95461 0.193173 0.125261
1271 1 0.280115 0.182719 0.078631
1157 1 0.0304855 0.196678 0.0494958
1258 1 0.537369 0.21231 0.0618081
1429 1 0.590349 0.168559 0.0248763
1778 1 0.858008 0.220979 0.0315444
272 1 0.0562498 0.282377 0.115955
464 1 0.536998 0.297027 0.00533706
230 1 0.050242 0.310161 0.105599
320 1 0.921244 0.397417 0.0367281
1901 1 0.181609 0.417239 0.151665
287 1 0.530595 0.472546 0.211904
926 1 0.606822 0.0125218 0.118049
1976 1 0.681399 0.0738482 0.0648576
59 1 0.66488 0.129822 0.0904973
1613 1 0.694416 0.0663175 0.062947
1591 1 0.448492 0.133419 0.0672736
1180 1 0.914213 0.137283 0.116991
719 1 0.577778 0.138713 0.143555
1724 1 0.529917 0.233199 0.0733365
418 1 0.0381496 0.222467 0.0408483
562 1 0.285244 0.221279 0.133027
1905 1 0.888694 0.188483 0.0607784
367 1 0.417239 0.265785 0.139662
1805 1 0.672589 0.338553 0.11768
1669 1 0.939777 0.361096 0.0995972
697 1 0.943864 0.350276 0.105118
186 1 0.605156 0.410669 0.154963
990 1 0.827408 0.495084 0.10847
427 1 0.327849 0.0397032 0.296957
449 1 0.442525 0.0064502 0.416594
1722 1 0.0205388 0.0437592 0.0986726
829 1 0.989476 0.0249325 0.152432
1426 1 0.0920683 0.0900933 0.0877871
640 1 0.372385 0.18613 0.135925
1589 1 0.125463 0.31244 0.113682
348 1 0.324819 0.339897 0.14317
941 1 0.313047 0.353613 0.149322
1420 1 0.726722 0.331992 0.0855878
72 1 0.982637 0.227115 0.0423507
1983 1 0.361558 0.304887 0.143349
604 1 0.419238 0.344919 0.121919
1093 1 0.578975 0.417766 0.137944
965 1 0.0541946 0.366013 0.115215
1961 1 0.887637 0.411181 0.0979383
265 1 0.458007 0.493029 0.0574836
1680 1 0.664929 0.461952 0.144623
790 1 0.0710356 0.0416018 0.0921973
321 1 0.754771 0.152585 0.462719
1584 1 0.262069 0.116263 0.113354
1265 1 0.0298909 0.185171 0.132478
1257 1 0.084936 0.145312 0.132056
1028 1 0.360118 0.177033 0.128437
1927 1 0.208505 0.248699 0.205514
1957 1 0.208601 0.17714 0.109184
46 1 0.239477 0.214675 0.252606
1703 1 0.730031 0.233727 0.172114
1945 1 0.456522 0.227006 0.132193
1944 1 0.881276 0.284212 0.129851
364 1 0.507804 0.181664 0.107151
1468 1 0.705685 0.314028 0.188335
912 1 0.618459 0.322224 0.183563
834 1 0.199307 0.376864 0.145404
1234 1 0.244171 0.40473 0.134573
860 1 0.0923399 0.369464 0.170286
1197 1 0.220103 0.412029 0.175192
1673 1 0.393374 0.355149 0.120919
1729 1 0.696116 0.415618 0.096039
34 1 0.914978 0.0417478 0.142103
638 1 0.159303 0.0803874 0.210565
408 1 0.731512 0.0213421 0.177505
1073 1 0.814649 0.0767907 0.157341
1333 1 0.151452 0.10236 0.21697
443 1 0.918226 0.157938 0.138828
102 1 0.375489 0.142766 0.209068
137 1 0.902586 0.0757734 0.154097
1050 1 0.198841 0.210202 0.0870232
312 1 0.433232 0.215617 0.189034
138 1 0.362353 0.206715 0.151195
555 1 0.561939 0.269646 0.113445
393 1 0.115619 0.266825 0.189498
1841 1 0.0566077 0.279093 0.198748
1195 1 0.944865 0.292398 0.191713
1747 1 0.493153 0.308138 0.199225
1377 1 0.780013 0.307052 0.138288
1838 1 0.95911 0.26464 0.199931
645 1 0.822231 0.307154 0.164315
937 1 0.820486 0.415728 0.192741
864 1 0.532203 0.456294 0.129027
502 1 0.47861 0.435774 0.139232
145 1 0.715692 0.407175 0.196459
1478 1 0.450166 0.468966 0.306724
1342 1 0.759947 0.0240586 0.230652
577 1 0.598863 0.038111 0.190609
909 1 0.96422 0.150467 0.230362
982 1 0.400016 0.13991 0.222366
1544 1 0.354856 0.113757 0.179673
435 1 0.932629 0.145878 0.156038
505 1 0.531191 0.246796 0.165237
56 1 0.556485 0.196894 0.187968
1411 1 0.119005 0.247649 0.145407
622 1 0.161835 0.273276 0.161219
1032 1 0.891237 0.265674 0.212075
1072 1 0.0666848 0.34533 0.137901
716 1 0.268778 0.290066 0.144342
1910 1 0.707068 0.400081 0.199521
1580 1 0.985459 0.39731 0.197713
156 1 0.81032 0.454215 0.193985
895 1 0.151566 0.434173 0.173912
87 1 0.378724 0.459022 0.142409
107 1 0.705342 0.454648 0.176141
1697 1 0.684963 0.120029 0.193132
1455 1 0.175756 0.0945479 0.228184
1672 1 0.421731 0.185974 0.103068
250 1 0.24643 0.152282 0.221329
16 1 0.438942 0.187894 0.248883
1710 1 0.745047 0.211077 0.265477
1128 1 0.476207 0.244828 0.230717
1757 1 0.986416 0.342538 0.241033
1804 1 0.494764 0.368807 0.230708
746 1 0.281928 0.423114 0.181838
352 1 0.625449 0.388358 0.210886
1893 1 0.62514 0.42525 0.14405
376 1 0.700757 0.359705 0.183009
1052 1 0.854646 0.468533 0.220178
1502 1 0.173119 0.0600653 0.219099
335 1 0.641542 0.145283 0.218763
1651 1 0.744869 0.131874 0.215825
972 1 0.569242 0.214135 0.231485
708 1 0.218766 0.174088 0.200916
997 1 0.952928 0.162628 0.201438
385 1 0.441373 0.275885 0.207369
1418 1 0.980645 0.344866 0.233569
1218 1 0.211267 0.352756 0.254322
1056 1 0.327853 0.423841 0.271577
440 1 0.559457 0.492225 0.229994
1797 1 0.58316 0.435256 0.206542
411 1 0.548242 0.138191 0.496522
1685 1 0.536238 0.0697461 0.403026
1926 1 0.251018 0.0515038 0.172839
38 1 0.628262 0.00650375 0.227001
591 1 0.250123 0.00344107 0.0364946
953 1 0.785614 0.0915752 0.239277
654 1 0.0226244 0.0975686 0.223327
1671 1 0.237406 0.121641 0.20252
1122 1 0.14472 0.124408 0.245235
1176 1 0.649597 0.168233 0.295754
576 1 0.121905 0.18313 0.284473
715 1 0.981351 0.241993 0.247968
986 1 0.764929 0.282226 0.24989
1699 1 0.810539 0.285923 0.250009
656 1 0.431751 0.334265 0.225173
961 1 0.944557 0.385582 0.219104
1663 1 0.390078 0.422845 0.242658
1278 1 0.834741 0.480435 0.255226
1625 1 0.625853 0.49777 0.287354
1565 1 0.0231325 0.497806 0.288741
308 1 0.243109 0.0152248 0.217857
429 1 0.539087 0.193093 0.453917
1731 1 0.961139 0.177039 0.233183
1067 1 0.902473 0.156207 0.192321
1444 1 0.531295 0.213308 0.240334
420 1 0.659484 0.261624 0.279573
795 1 0.967468 0.303138 0.251023
1911 1 0.456715 0.257781 0.261755
1908 1 0.428882 0.232075 0.228442
284 1 0.610004 0.212047 0.222328
233 1 0.630136 0.271051 0.234201
1776 1 0.313519 0.280647 0.260787
1045 1 0.745881 0.347088 0.20146
65 1 0.651384 0.322809 0.220413
1588 1 0.385695 0.377652 0.247884
180 1 0.111579 0.363204 0.226333
374 1 0.90344 0.429227 0.310136
1802 1 0.0591418 0.496644 0.298891
939 1 0.977423 0.458053 0.236472
1934 1 0.601242 0.468221 0.260013
1843 1 0.0142032 0.486361 0.262241
639 1 0.959992 0.367939 0.488603
1607 1 0.459676 0.0753618 0.245527
1325 1 0.136884 0.0160822 0.271294
1413 1 0.0530421 0.0664224 0.269852
101 1 0.46993 0.093968 0.307824
1457 1 0.300267 0.0728629 0.2384
541 1 0.648382 0.187095 0.233511
304 1 0.746061 0.200698 0.270613
1282 1 0.0420961 0.209848 0.266563
1098 1 0.272867 0.33353 0.278279
1569 1 0.249842 0.266005 0.276093
155 1 0.3441 0.341474 0.355559
738 1 0.602656 0.308309 0.249102
1165 1 0.155234 0.4555 0.282947
106 1 0.719068 0.388016 0.476745
629 1 0.0513042 0.0521656 0.281193
189 1 0.809591 0.0520308 0.248653
1634 1 0.199022 0.278477 0.457759
1799 1 0.262764 0.0577808 0.261492
1314 1 0.225243 0.0675591 0.345187
1698 1 0.0193362 0.0589355 0.323058
1955 1 0.495345 0.162221 0.25211
1000 1 0.225562 0.094889 0.265502
202 1 0.702713 0.205551 0.321953
890 1 0.673002 0.249951 0.306235
1621 1 0.695956 0.18269 0.322332
1614 1 0.385102 0.245372 0.204133
682 1 0.343536 0.232653 0.211944
556 1 0.930692 0.243624 0.314952
1899 1 0.78855 0.404881 0.266612
1376 1 0.0656036 0.319309 0.317142
37 1 0.281564 0.346348 0.301221
1013 1 0.539981 0.30642 0.219201
866 1 0.856963 0.356852 0.31443
1654 1 0.161657 0.342534 0.244883
488 1 0.807958 0.441439 0.35295
275 1 0.967748 0.235591 0.471765
1119 1 0.335651 0.0293085 0.298705
1859 1 0.490631 0.0708598 0.349125
644 1 0.170433 0.0367052 0.33849
637 1 0.392317 0.0780215 0.344591
455 1 0.442121 0.169957 0.329038
780 1 0.307209 0.112147 0.345528
1636 1 0.0125402 0.215954 0.301805
807 1 0.628729 0.207388 0.319262
672 1 0.0446666 0.268173 0.385444
880 1 0.255887 0.273907 0.245042
837 1 0.952462 0.326857 0.321773
550 1 0.566148 0.359564 0.272687
625 1 0.227038 0.393371 0.291469
782 1 0.667273 0.357587 0.273798
1402 1 0.284741 0.356143 0.300959
567 1 0.548303 0.350701 0.300119
306 1 0.278647 0.0815968 0.490194
1992 1 0.447203 0.49327 0.3086
513 1 0.807333 0.0846851 0.36451
995 1 0.842886 0.0551195 0.288862
822 1 0.477806 0.145142 0.364092
1954 1 0.885311 0.0912082 0.324685
128 1 0.49072 0.132376 0.370329
1696 1 0.212085 0.0899819 0.311602
1501 1 0.497051 0.132518 0.258484
673 1 0.925702 0.161957 0.349638
379 1 0.608694 0.228783 0.263774
1187 1 0.35758 0.292254 0.281931
1466 1 0.434011 0.255215 0.364035
1362 1 0.0348851 0.360061 0.341446
119 1 0.692392 0.368923 0.347144
1396 1 0.118133 0.315484 0.353179
438 1 0.271495 0.341728 0.287417
1178 1 0.409298 0.481477 0.392726
802 1 0.0104724 0.363999 0.326459
1010 1 0.0312867 0.439715 0.301669
174 1 0.127232 0.443611 0.297392
1789 1 0.60628 0.436515 0.354196
755 1 0.680565 0.461127 0.326919
653 1 0.100128 0.0149652 0.31935
823 1 0.123122 0.439403 0.395864
703 1 0.692133 0.446838 0.00764651
2005 1 0.503417 0.079759 0.394252
692 1 0.924727 0.116855 0.349158
1474 1 0.382095 0.0554879 0.30157
1473 1 0.116988 0.149479 0.267465
195 1 0.0532753 0.124385 0.377433
303 1 0.698009 0.118761 0.369215
489 1 0.620016 0.174597 0.347055
1273 1 0.360149 0.304696 0.341987
614 1 0.45904 0.273934 0.298023
1142 1 0.707257 0.433286 0.368612
1968 1 0.0762374 0.422638 0.371184
2024 1 0.595845 0.401887 0.327133
825 1 0.158926 0.471641 0.308097
1355 1 0.422621 0.429696 0.386701
1505 1 0.902124 0.409979 0.361609
701 1 0.756495 0.43042 0.324639
522 1 0.244446 0.493017 0.385936
1085 1 0.00397712 0.243957 0.0100915
849 1 0.780719 0.499825 0.306093
1933 1 0.163327 0.45813 0.339604
154 1 0.610912 0.475505 0.33309
1249 1 0.677142 0.472151 0.383979
182 1 0.821078 0.387468 0.308495
1224 1 0.674704 0.424516 0.0201999
989 1 0.365116 0.436987 0.312789
827 1 0.92554 0.0291464 0.382117
1622 1 0.0425493 0.063427 0.357151
226 1 0.87507 0.113682 0.330456
609 1 0.60496 0.0969309 0.365947
636 1 0.488024 0.0816873 0.368774
1688 1 0.827321 0.132693 0.385626
244 1 0.932802 0.177749 0.34645
700 1 0.734339 0.196926 0.33669
1471 1 0.00824075 0.165298 0.408707
1225 1 0.23623 0.329226 0.383106
369 1 0.520687 0.402559 0.428827
217 1 0.963534 0.458984 0.343857
215 1 0.973177 0.426979 0.401239
361 1 0.262054 0.440201 0.391988
237 1 0.213556 0.402616 0.32208
136 1 0.672622 0.451658 0.376119
1171 1 0.408256 0.488537 0.343907
191 1 0.10946 0.383466 0.4926
942 1 0.618985 0.0248995 0.37228
261 1 0.942565 0.0372047 0.368939
17 1 0.449659 0.0248579 0.452929
674 1 0.328966 0.152987 0.370038
33 1 0.0126795 0.131711 0.346708
1004 1 0.426101 0.197211 0.390733
1708 1 0.355008 0.158369 0.351087
1266 1 0.346732 0.207573 0.440055
94 1 0.534204 0.190836 0.397426
999 1 0.317173 0.298916 0.337922
1570 1 0.445342 0.305299 0.431971
370 1 0.848065 0.260258 0.433738
366 1 0.887103 0.295041 0.404568
1301 1 0.562046 0.337117 0.436905
1228 1 0.109559 0.359763 0.384978
665 1 0.671516 0.491707 0.120321
1051 1 0.554942 0.472831 0.350075
1796 1 0.0139203 0.05243 0.148871
1261 1 0.260541 0.459395 0.433575
1436 1 0.63248 0.0588542 0.357292
1639 1 0.41798 0.134337 0.393806
595 1 0.0296908 0.111946 0.334755
1554 1 0.174199 0.144412 0.404666
1830 1 0.105284 0.15785 0.415077
421 1 0.481163 0.212927 0.427145
5 1 0.904019 0.0992161 0.381547
407 1 0.441137 0.153981 0.426347
1219 1 0.654264 0.165943 0.397262
1206 1 0.0183634 0.170033 0.411257
1863 1 0.6001 0.152201 0.407949
1194 1 0.958173 0.151576 0.433369
919 1 0.504587 0.17773 0.480632
1984 1 0.690752 0.186878 0.4519
122 1 0.766934 0.278862 0.426403
1925 1 0.075562 0.278561 0.406886
1172 1 0.601903 0.313431 0.40834
111 1 0.632896 0.336501 0.439601
722 1 0.872017 0.375718 0.417388
1340 1 0.517249 0.486323 0.399534
68 1 0.316541 0.49568 0.408324
247 1 0.550818 0.471675 0.339817
628 1 0.765755 0.471552 0.343133
1170 1 0.84377 0.116825 0.315682
1422 1 0.849856 0.0408336 0.393695
1009 1 0.904202 0.101642 0.481878
454 1 0.211273 0.123226 0.461971
1540 1 0.552894 0.266416 0.392204
1681 1 0.566482 0.260371 0.478322
20 1 0.302221 0.354703 0.478817
6 1 0.510876 0.348951 0.471292
1280 1 0.569194 0.400797 0.402796
695 1 0.0606545 0.369914 0.427988
828 1 0.278184 0.44272 0.425731
276 1 0.943269 0.469788 0.330621
1512 1 0.699357 0.384477 0.479816
1328 1 0.466914 0.0665775 0.496111
915 1 0.523287 0.0547341 0.381012
1952 1 0.0859465 0.103699 0.438731
549 1 0.129471 0.0816239 0.493896
1491 1 0.250148 0.11228 0.461348
1530 1 0.595168 0.025606 0.48046
1782 1 0.636999 0.140912 0.444225
1977 1 0.901011 0.162603 0.414186
187 1 0.113213 0.174867 0.421301
1496 1 0.55664 0.244787 0.382884
1551 1 0.686545 0.289177 0.410105
1760 1 0.151414 0.294414 0.462281
660 1 0.175347 0.321836 0.47006
1890 1 0.383376 0.302084 0.457983
1620 1 0.806898 0.267407 0.379714
511 1 0.781125 0.405171 0.402863
1970 1 0.222348 0.0154258 0.145969
236 1 0.499559 0.102071 0.071955
446 1 0.983108 0.00371977 0.46913
263 1 0.804861 0.0436412 0.447584
2047 1 0.0591849 0.0903062 0.432791
353 1 0.0763216 0.0369668 0.222805
620 1 0.0423538 0.047591 0.399118
2017 1 0.811707 0.0820688 0.487725
273 1 0.165466 0.118408 0.4419
602 1 0.154336 0.259021 0.439499
882 1 0.785642 0.304151 0.49297
2010 1 0.706865 0.360121 0.445939
316 1 0.0328537 0.388588 0.470014
885 1 0.166498 0.411345 0.378061
689 1 0.919623 0.00331722 0.430874
566 1 0.508431 0.409497 0.425955
1269 1 0.664605 0.43165 0.431214
1716 1 0.203867 0.486906 0.433984
490 1 0.724111 0.0310893 0.150691
1611 1 0.397115 0.45379 0.382176
1345 1 0.853288 0.438653 0.0334564
1935 1 0.267134 0.24496 0.486291
1039 1 0.00192149 0.133563 0.468537
630 1 0.190719 0.0541243 0.449285
91 1 0.312368 0.00170131 0.47647
1350 1 0.621336 0.00515455 0.187472
1542 1 0.871288 0.492692 0.487472
873 1 0.813329 0.242017 0.418551
221 1 0.00375024 0.295629 0.4373
387 1 0.572851 0.30514 0.498827
1106 1 0.0602788 0.35178 0.457833
1080 1 0.868635 0.249162 0.493932
1479 1 0.309214 0.266984 0.44331
279 1 0.34762 0.431212 0.474973
1675 1 0.856711 0.428091 0.498392
817 1 0.603207 0.429621 0.423472
547 1 0.0590445 0.487774 0.426876
991 1 0.937064 0.00700478 0.0813708
1040 1 0.563735 0.0104149 0.474437
857 1 0.763404 0.0513648 0.480607
1668 1 0.706165 0.167141 0.450335
1404 1 0.913642 0.0683644 0.47155
1978 1 0.228709 0.102518 0.490166
1583 1 0.208971 0.357532 0.470682
881 1 0.989556 0.133004 0.476097
633 1 0.39734 0.374942 0.454895
944 1 0.400021 0.464483 0.303428
1108 1 0.0860425 0.352961 0.000851142
204 1 0.775321 0.264753 0.499056
347 1 0.70322 0.000384842 0.371527
1560 1 0.824271 0.000681671 0.436172
1472 1 0.395224 0.0890998 0.520984
1115 1 0.23126 0.0206596 0.846462
492 1 0.0530797 0.126309 0.541124
1075 1 0.598569 0.149364 0.540168
1656 1 0.0240237 0.156792 0.556015
48 1 0.185352 0.155417 0.557757
1173 1 0.65926 0.217745 0.512608
1909 1 0.906073 0.443349 0.993693
1714 1 0.587052 0.257228 0.946835
1006 1 0.2837 0.217388 0.514507
1215 1 0.568489 0.305687 0.537033
925 1 0.0507807 0.477862 0.54336
724 1 0.946539 0.484573 0.693875
1415 1 0.944355 0.343102 0.561823
1236 1 0.433329 0.232045 0.550897
1154 1 0.358562 0.458871 0.555691
1813 1 0.395845 0.299928 0.980799
330 1 0.189865 0.466066 0.5574
574 1 0.671824 0.170147 0.51887
177 1 0.382074 0.00359471 0.555689
1242 1 0.159603 0.0837224 0.578005
485 1 0.346121 0.153287 0.56072
607 1 0.949857 0.0670665 0.536016
854 1 0.814277 0.367158 0.976189
1403 1 0.746519 0.197428 0.499803
707 1 0.877371 0.020234 0.681582
181 1 0.604841 0.401454 0.502912
262 1 0.840291 0.222935 0.533308
295 1 0.733316 0.2092 0.508785
1746 1 0.938711 0.252997 0.537868
1506 1 0.653191 0.17254 0.567889
1661 1 0.782579 0.222197 0.514375
1563 1 0.885288 0.273371 0.513774
18 1 0.610109 0.332825 0.549847
1241 1 0.642428 0.373317 0.537707
394 1 0.864508 0.294929 0.553737
663 1 0.55874 0.429998 0.563529
234 1 0.559024 0.425267 0.514496
1951 1 0.243602 0.0306997 0.552385
1419 1 0.80546 0.101525 0.500224
894 1 0.267191 0.0811798 0.510279
1956 1 0.0971975 0.121016 0.511538
1500 1 0.0449566 0.131806 0.573817
911 1 0.193557 0.141657 0.500719
781 1 0.396511 0.192741 0.551651
1026 1 0.0334738 0.222807 0.553519
1572 1 0.738618 0.194497 0.510267
1845 1 0.299875 0.252646 0.539618
67 1 0.201361 0.00494459 0.738889
1084 1 0.249108 0.275111 0.554872
669 1 0.459502 0.28875 0.506876
1771 1 0.687393 0.310688 0.544377
390 1 0.886592 0.32613 0.510245
1788 1 0.500683 0.29763 0.546386
194 1 0.55358 0.333592 0.543429
1777 1 0.973197 0.312726 0.591467
1141 1 0.944391 0.368702 0.597834
139 1 0.46475 0.39632 0.527806
1166 1 0.180858 0.451084 0.523237
1074 1 0.498042 0.148459 0.968738
772 1 0.97613 0.0392051 0.983935
1323 1 0.0797572 0.0575193 0.604037
812 1 0.361213 0.0339142 0.630405
62 1 0.475736 0.0959578 0.5286
388 1 0.428643 0.162462 0.570811
224 1 0.241868 0.209695 0.519432
1201 1 0.215568 0.163572 0.594665
45 1 0.131692 0.213954 0.609664
821 1 0.587242 0.324632 0.548284
1577 1 0.951972 0.377048 0.587205
1174 1 0.399017 0.352397 0.578301
70 1 0.573272 0.432598 0.565135
1665 1 0.00765017 0.478151 0.563405
843 1 0.414303 0.472701 0.529337
1783 1 0.94648 0.482577 0.589577
579 1 0.13566 0.0635409 0.55055
1726 1 0.219984 0.496807 0.698745
1508 1 0.910798 0.148853 0.590265
1480 1 0.128063 0.279938 0.597706
879 1 0.266344 0.251964 0.554717
1427 1 0.367371 0.16697 0.609784
655 1 0.0107228 0.271421 0.600731
1510 1 0.109031 0.29203 0.532464
459 1 0.0296956 0.298854 0.62141
1678 1 0.112915 0.281754 0.559612
1754 1 0.529547 0.31941 0.593452
529 1 0.103542 0.411781 0.499972
1630 1 0.0652989 0.421874 0.562608
923 1 0.495493 0.479927 0.503535
646 1 0.721492 0.472979 0.60481
514 1 0.741813 0.446738 0.633447
1533 1 0.299841 0.402597 0.573925
1343 1 0.854561 0.111267 0.513925
748 1 0.40039 0.024556 0.645095
1849 1 0.63473 0.0781047 0.638279
789 1 0.671066 0.0291938 0.606728
1819 1 0.747607 0.120371 0.578159
1643 1 0.741503 0.101088 0.592728
1424 1 0.0835628 0.17823 0.574983
362 1 0.0881381 0.234828 0.608438
1552 1 0.508137 0.239981 0.549087
66 1 0.0691818 0.240018 0.594043
188 1 0.0202008 0.267487 0.570032
339 1 0.13129 0.256285 0.55957
647 1 0.721334 0.379723 0.662658
163 1 0.379452 0.356322 0.601133
968 1 0.25969 0.464847 0.584621
1097 1 0.39998 0.474063 0.628011
466 1 0.397521 0.482363 0.604446
1971 1 0.439286 0.461465 0.602062
22 1 0.727082 0.351383 0.531658
1384 1 0.948937 0.496356 0.609515
687 1 0.354203 0.0739186 0.634946
1973 1 0.00387534 0.123946 0.533256
1528 1 0.634554 0.0321777 0.586902
1764 1 0.869797 0.116327 0.594039
2011 1 0.994238 0.16375 0.65141
365 1 0.491688 0.146759 0.585491
382 1 0.24051 0.333086 0.695227
2013 1 0.658391 0.280782 0.609628
1322 1 0.0795488 0.326089 0.602153
1281 1 0.207938 0.301864 0.624474
441 1 0.362607 0.292679 0.61061
657 1 0.115485 0.37326 0.652705
1823 1 0.102974 0.325167 0.604502
7 1 0.301761 0.310528 0.67405
1374 1 0.307751 0.395051 0.612353
1303 1 0.703344 0.377164 0.620203
1532 1 0.601552 0.420465 0.64517
510 1 0.830909 0.185378 0.983038
419 1 0.354596 0.0267036 0.633114
1368 1 0.676929 0.0422471 0.652197
486 1 0.388139 0.0973073 0.664334
1689 1 0.29979 0.14527 0.641644
12 1 0.125801 0.199611 0.672319
253 1 0.223137 0.231444 0.620284
580 1 0.156975 0.277944 0.625179
561 1 0.59446 0.199614 0.680217
1720 1 0.627396 0.336419 0.670074
267 1 0.619884 0.308809 0.604086
963 1 0.714811 0.374159 0.59779
969 1 0.633368 0.37186 0.626153
1025 1 0.814904 0.328133 0.639117
463 1 0.960642 0.431644 0.632925
1446 1 0.674123 0.414683 0.611379
2006 1 0.749112 0.441446 0.637914
44 1 0.0402307 0.439511 0.556205
1312 1 0.88915 0.491212 0.816285
1664 1 0.91773 0.0466477 0.615446
1686 1 0.998287 0.196032 0.513449
1922 1 0.532381 0.0752061 0.643561
1749 1 0.952778 0.180256 0.690773
148 1 0.0263385 0.117077 0.678958
1835 1 0.667639 0.197382 0.662703
723 1 0.749231 0.287896 0.631208
1096 1 0.316559 0.334611 0.69593
1918 1 0.766067 0.318944 0.692537
1640 1 0.242835 0.35328 0.628102
460 1 0.562353 0.280422 0.658483
1616 1 0.505901 0.37001 0.673617
1311 1 0.85264 0.460196 0.667893
21 1 0.384373 0.0471857 0.634127
274 1 0.710878 0.128929 0.7092
1888 1 0.353236 0.162714 0.756561
1784 1 0.238007 0.148961 0.700858
78 1 0.782053 0.250739 0.67381
1827 1 0.109854 0.216433 0.761521
761 1 0.123607 0.247473 0.703255
43 1 0.169413 0.253219 0.644666
359 1 0.11088 0.436851 0.66075
705 1 0.0263611 0.438123 0.685354
1986 1 0.234164 0.383553 0.678232
643 1 0.313155 0.425555 0.587367
360 1 0.385752 0.478628 0.739888
978 1 0.336679 0.0447035 0.61322
1417 1 0.663852 0.108226 0.659634
1807 1 0.766185 0.117865 0.736975
469 1 0.16204 0.0848958 0.708999
565 1 0.642553 0.0708858 0.720664
1878 1 0.532109 0.064802 0.739201
1755 1 0.699763 0.126102 0.60723
1949 1 0.273853 0.0900025 0.682298
1833 1 0.778239 0.158893 0.739065
1658 1 0.808604 0.221391 0.666267
1763 1 0.915635 0.16328 0.706485
1744 1 0.39256 0.186487 0.750458
1880 1 0.617899 0.192247 0.679179
1711 1 0.0680728 0.308856 0.708238
1615 1 0.500465 0.271134 0.678617
788 1 0.80011 0.427032 0.676685
1014 1 0.138048 0.0904783 0.75834
358 1 0.970187 0.0723853 0.753183
1767 1 0.638026 0.0972773 0.703087
1383 1 0.601681 0.103563 0.731346
886 1 0.923645 0.168624 0.70707
865 1 0.65725 0.160989 0.683009
1221 1 0.300468 0.24686 0.70571
255 1 0.982049 0.342815 0.742646
1450 1 0.0456918 0.33376 0.75197
686 1 0.878553 0.314194 0.700594
173 1 0.95506 0.342981 0.699429
1891 1 0.228795 0.345427 0.690111
1750 1 0.276974 0.324891 0.692117
499 1 0.436159 0.412121 0.721065
929 1 0.50972 0.403277 0.674784
863 1 0.962683 0.482324 0.754289
1057 1 0.385184 0.496674 0.900747
2012 1 0.774789 0.0229309 0.707879
726 1 0.293014 0.116528 0.72535
1331 1 0.875883 0.145976 0.820965
49 1 0.787786 0.157927 0.747655
979 1 0.745659 0.157267 0.718123
1049 1 0.537859 0.28141 0.712394
29 1 0.54088 0.252122 0.772577
752 1 0.742891 0.396377 0.798427
1717 1 0.35837 0.36906 0.696919
1773 1 0.328937 0.371716 0.73923
1078 1 0.723455 0.388377 0.685624
149 1 0.596246 0.416355 0.749737
1452 1 0.397721 0.446259 0.680841
142 1 0.551114 0.435375 0.706067
1367 1 0.440504 0.0557818 0.735355
1638 1 0.193787 0.00265559 0.80844
1543 1 0.304934 0.164405 0.701419
1489 1 0.83629 0.160978 0.723818
412 1 0.0677256 0.23213 0.80821
1884 1 0.876659 0.235986 0.787374
1087 1 0.861492 0.189827 0.736383
1691 1 0.388031 0.253797 0.737196
1705 1 0.204637 0.30177 0.723901
1302 1 0.058919 0.393282 0.756955
1834 1 0.433085 0.403128 0.748057
836 1 0.670639 0.410064 0.803947
1251 1 0.689744 0.373525 0.79114
1053 1 0.292815 0.479329 0.707007
1349 1 0.443181 0.428823 0.689184
1233 1 0.857546 0.0403774 0.763764
1285 1 0.775832 0.0707117 0.807814
1223 1 0.659808 0.137676 0.757793
2004 1 0.691624 0.16655 0.791501
404 1 0.883298 0.172 0.743858
1298 1 0.486477 0.197042 0.738886
118 1 0.927186 0.121128 0.776353
704 1 0.161652 0.147878 0.798914
1148 1 0.357373 0.122346 0.786524
826 1 0.548025 0.247691 0.754705
424 1 0.325631 0.173174 0.762384
1297 1 0.862009 0.228195 0.748819
955 1 0.52642 0.306462 0.725744
1421 1 0.273396 0.283784 0.812956
845 1 0.345005 0.316159 0.758487
1692 1 0.306398 0.34464 0.718611
1412 1 0.841473 0.281352 0.812985
688 1 0.382565 0.407587 0.832316
257 1 0.64158 0.378659 0.7518
1021 1 0.958893 0.443064 0.713523
998 1 0.28432 0.0494696 0.760862
1883 1 0.507117 0.0581035 0.776813
434 1 0.825286 0.0678557 0.856256
1019 1 0.982201 0.0558023 0.783803
1360 1 0.461786 0.064485 0.779986
1124 1 0.912974 0.23866 0.744941
1432 1 0.737214 0.158446 0.814172
428 1 0.747618 0.131998 0.79339
571 1 0.00606014 0.136472 0.755032
1163 1 0.0707211 0.276855 0.802695
1785 1 0.423839 0.173468 0.722471
605 1 0.685531 0.319882 0.809262
1730 1 0.785062 0.357536 0.817253
329 1 0.683914 0.346143 0.786625
141 1 0.117779 0.352444 0.787294
1138 1 0.207113 0.45902 0.795842
64 1 0.318719 0.405531 0.79363
1190 1 0.504408 0.464374 0.766578
666 1 0.617958 0.471845 0.768913
816 1 0.815447 0.00358833 0.797581
354 1 0.693111 0.00188415 0.866883
480 1 0.348787 0.0627954 0.810159
954 1 0.328068 0.122537 0.811632
462 1 0.406166 0.0591704 0.770802
615 1 0.516115 0.0517331 0.799393
1264 1 0.143051 0.111217 0.749476
1095 1 0.617568 0.0561624 0.789584
1960 1 0.149242 0.0987602 0.807636
696 1 0.13739 0.137415 0.800213
1904 1 0.5386 0.107061 0.758451
1055 1 0.382701 0.316091 0.846143
588 1 0.226571 0.336252 0.883682
481 1 0.322864 0.375481 0.841615
2033 1 0.513805 0.277709 0.851593
1751 1 0.738173 0.3146 0.862722
1082 1 0.777931 0.336647 0.86224
1320 1 0.0547123 0.403833 0.78634
1212 1 0.194247 0.441431 0.837637
1394 1 0.52561 0.391025 0.792338
1253 1 0.1016 0.400661 0.807828
1679 1 0.87514 0.191732 0.95006
1203 1 0.532581 0.0419648 0.860218
1761 1 0.202973 0.0930177 0.804193
1364 1 0.847863 0.0669445 0.790779
1286 1 0.497871 0.141694 0.772748
231 1 0.772431 0.141796 0.864238
594 1 0.082839 0.0726968 0.874716
1462 1 0.673589 0.204034 0.818957
734 1 0.604619 0.261312 0.819399
218 1 0.943453 0.246328 0.821213
349 1 0.689571 0.251993 0.837294
740 1 0.0357069 0.29483 0.814152
2 1 0.181848 0.214783 0.802816
1160 1 0.520404 0.283107 0.846714
1012 1 0.838497 0.39527 0.814386
193 1 0.927113 0.441192 0.827104
1405 1 0.770084 0.379038 0.819676
199 1 0.243244 0.474549 0.841742
1091 1 0.326206 0.444912 0.822819
117 1 0.427145 0.477128 0.767864
869 1 0.657262 0.471285 0.871626
774 1 0.175734 0.0398434 0.817843
307 1 0.0374496 0.00165129 0.865917
1930 1 0.811019 0.0915041 0.82743
491 1 0.138449 0.125674 0.809158
240 1 0.201293 0.0704028 0.891133
2035 1 0.137028 0.147197 0.855438
1315 1 0.596499 0.188319 0.842714
1126 1 0.933168 0.174143 0.827151
1759 1 0.193155 0.217541 0.839001
1576 1 0.981998 0.218715 0.730882
1522 1 0.191584 0.277013 0.790696
150 1 0.811941 0.289244 0.854799
766 1 0.866073 0.320705 0.876322
268 1 0.575524 0.271818 0.814981
858 1 0.367048 0.415452 0.873469
875 1 0.649753 0.407172 0.857015
713 1 0.0474515 0.327206 0.863107
993 1 0.854883 0.467172 0.855705
1090 1 0.391669 0.460978 0.861509
494 1 0.951799 0.495226 0.802904
1459 1 0.930408 0.475124 0.80234
2016 1 0.0313923 0.0949004 0.860059
1820 1 0.270399 0.0489122 0.882273
219 1 0.585923 0.0833261 0.860904
731 1 0.957189 0.173009 0.834794
1318 1 0.0666458 0.121661 0.867798
1292 1 0.347619 0.222514 0.844398
2023 1 0.355868 0.232661 0.865946
1618 1 0.682315 0.276019 0.838671
1598 1 0.877052 0.283093 0.832815
166 1 0.872296 0.282813 0.844112
1070 1 0.357879 0.400967 0.856488
850 1 0.631637 0.397239 0.84339
85 1 0.77955 0.375561 0.853078
1149 1 0.815174 0.38644 0.87823
1263 1 0.0604042 0.447647 0.786606
89 1 0.867526 0.497287 0.61285
611 1 0.110889 0.474387 0.998905
1277 1 0.393095 0.261548 0.919761
1250 1 0.0248942 0.14347 0.83565
229 1 0.109046 0.0168004 0.859327
1423 1 0.843792 0.0786516 0.908402
1245 1 0.457849 0.167763 0.80984
957 1 0.95769 0.166091 0.86582
1612 1 0.364965 0.178886 0.831147
1969 1 0.927105 0.201058 0.864756
1338 1 0.0128878 0.155809 0.950445
391 1 0.0655422 0.348461 0.87899
1262 1 0.3501 0.359235 0.920809
992 1 0.794998 0.430291 0.86686
936 1 0.77677 0.418305 0.877027
1291 1 0.181516 0.447837 0.8578
1016 1 0.107866 0.431776 0.843871
1861 1 0.199174 0.439144 0.909916
921 1 0.390505 0.487815 0.894978
1118 1 0.175371 0.00679835 0.919639
1735 1 0.367427 0.0367373 0.899039
1209 1 0.523923 0.0482717 0.860538
575 1 0.470618 0.0772287 0.893547
543 1 0.0371375 0.16083 0.514983
168 1 0.300239 0.101938 0.890819
1839 1 0.77928 0.06509 0.865886
779 1 0.982305 0.117727 0.947683
830 1 0.198073 0.257755 0.87265
1295 1 0.452596 0.184963 0.896559
1147 1 0.125474 0.223127 0.826176
301 1 0.065012 0.227305 0.817432
1858 1 0.118575 0.371653 0.962771
1114 1 0.519529 0.258524 0.88221
147 1 0.6878 0.342416 0.909972
1525 1 0.705209 0.324449 0.860484
384 1 0.495548 0.475398 0.877041
1874 1 0.888671 0.480919 0.866312
1556 1 0.0839025 0.453078 0.98723
1959 1 0.282504 0.0909301 0.912057
184 1 0.01955 0.0763507 0.951887
1494 1 0.242245 0.135836 0.909586
900 1 0.673491 0.169489 0.898567
82 1 0.557023 0.127104 0.895933
2027 1 0.118256 0.171405 0.975688
1695 1 0.465396 0.208151 0.84253
1317 1 0.406733 0.205813 0.909455
805 1 0.73979 0.179106 0.850989
1254 1 0.0638048 0.228052 0.829889
1440 1 0.818001 0.235904 0.885645
1914 1 0.813278 0.232691 0.907485
332 1 0.620476 0.27061 0.861681
1054 1 0.315269 0.369395 0.853267
1321 1 0.760971 0.429429 0.888653
819 1 0.855205 0.0562118 0.522308
1409 1 0.796651 0.47082 0.886941
846 1 0.668609 0.462689 0.893134
210 1 0.376333 0.0215519 0.896345
298 1 0.979844 0.0314785 0.962832
1220 1 0.0084299 0.0330193 0.95011
286 1 0.18025 0.0847839 0.902897
1381 1 0.943586 0.0737683 0.998169
1875 1 0.793403 0.149292 0.909344
327 1 0.76691 0.133427 1.00046
603 1 0.620475 0.111873 0.938771
1470 1 0.289297 0.180656 0.966727
1795 1 0.579615 0.160486 0.973593
917 1 0.227638 0.220874 0.966165
1642 1 0.172459 0.251844 0.944475
1742 1 0.231389 0.349537 0.959463
1974 1 0.36307 0.292493 0.988822
844 1 0.659462 0.327271 0.903201
536 1 0.370792 0.336123 0.986807
600 1 0.935759 0.439414 0.95392
1566 1 0.694625 0.454479 0.894844
254 1 0.953292 0.42228 0.893704
971 1 0.383656 0.452071 0.911601
269 1 0.530912 0.455109 0.920527
1781 1 0.794572 0.484069 0.885679
544 1 0.320816 0.215771 0.50855
28 1 0.755283 0.0986494 0.847906
1399 1 0.12414 0.096885 0.905306
4 1 0.0913445 0.100794 0.953014
1923 1 0.686518 0.178614 0.931502
198 1 0.669512 0.466364 0.907119
1844 1 0.0778343 0.17066 0.989959
281 1 0.112892 0.100962 0.976392
1573 1 0.656712 0.1857 0.987811
1928 1 0.21661 0.208669 0.942887
1947 1 0.532049 0.244891 0.880912
1537 1 0.0237481 0.289537 0.916428
2008 1 0.347227 0.359597 0.932134
246 1 0.887898 0.369418 0.963539
161 1 0.222572 0.478327 0.957448
1885 1 0.690692 0.462908 0.962323
1740 1 0.749101 0.416246 0.951685
205 1 0.657485 0.0422356 0.682672
1334 1 0.0682848 0.126931 0.986426
55 1 0.314874 0.144007 0.965206
1851 1 0.323299 0.150336 0.969216
319 1 0.667409 0.190082 0.996179
124 1 0.714389 0.152304 0.970246
105 1 0.895216 0.18939 0.899941
835 1 0.231581 0.24939 0.963717
2026 1 0.747116 0.224154 0.956871
606 1 0.377104 0.00743532 0.603924
1378 1 0.0103188 0.470162 0.511323
487 1 0.74799 0.23637 0.981229
528 1 0.501112 0.157858 0.93009
212 1 0.503047 0.188583 0.925129
380 1 0.478296 0.254683 0.917575
1931 1 0.921356 0.26401 0.983685
1981 1 0.255422 0.279754 0.968289
870 1 0.296332 0.276499 0.916412
1889 1 0.80298 0.314361 0.995782
1272 1 0.492646 0.389495 0.919532
2031 1 0.655287 0.364214 0.971678
1490 1 0.362476 0.419972 0.983014
1449 1 0.266232 0.285658 0.996337
36 1 0.141739 0.453298 0.945174
300 1 0.530163 0.34791 0.540058
1650 1 0.757642 0.458928 0.951053
1574 1 0.553731 0.458701 0.845144
1335 1 0.879836 0.00241193 0.993411
616 1 0.052704 0.412583 0.944955
751 1 0.52665 0.0603334 0.966062
884 1 0.707902 0.083245 0.984067
883 1 0.715171 0.112825 0.951406
1670 1 0.636576 0.0624737 0.948
127 1 0.438952 0.367094 0.966319
1309 1 0.161757 0.175761 0.933629
386 1 0.724365 0.27589 0.977226
1818 1 0.754376 0.418602 0.996559
1387 1 0.388187 0.361812 0.981973
733 1 0.227964 0.458572 0.965226
397 1 0.265549 0.010754 0.719543
1856 1 0.808801 0.478215 0.91263
1539 1 0.60641 0.0217654 0.950729
1836 1 0.400423 0.410215 0.536095
618 1 0.435464 0.064036 0.99552
596 1 0.536255 0.0206915 0.747435
1 1 0.144321 0.119029 0.514512
985 1 0.273965 0.0074065 0.709364
599 1 0.120021 0.0102063 0.762745
587 1 0.0330247 0.456528 0.505366
1538 1 0.28024 0.0881139 0.50211
337 1 0.182583 0.498556 0.554306
526 1 0.748411 0.499096 0.58255
592 1 0.79678 0.517753 0.0358284
134 1 0.475847 0.664105 0.0292695
1477 1 0.721623 0.616735 0.0563391
1624 1 0.315394 0.54696 0.0236912
417 1 0.437338 0.597448 0.0636042
959 1 0.64119 0.560532 0.0408538
947 1 0.712751 0.643474 0.0114388
1430 1 0.91037 0.963079 0.455605
1997 1 0.983545 0.804555 0.0355959
1191 1 0.0932502 0.841529 0.0156747
1721 1 0.898971 0.969135 0.358457
1043 1 0.221329 0.94686 0.00346626
1030 1 0.593799 0.876769 0.0310902
1205 1 0.710557 0.938364 0.094389
1676 1 0.136229 0.985907 0.0321437
520 1 0.566653 0.90912 0.00842749
331 1 0.218383 0.951194 0.0141089
1036 1 0.823914 0.520348 0.0238586
757 1 0.263706 0.513988 0.317997
764 1 0.521935 0.513717 0.0475227
868 1 0.798265 0.59818 0.0466383
1401 1 0.133269 0.717866 0.0640003
1887 1 0.842867 0.693395 0.0508167
949 1 0.105304 0.752479 0.0185283
806 1 0.801351 0.764272 0.0392147
403 1 0.891059 0.875453 0.494981
1994 1 0.408285 0.796156 0.046934
651 1 0.600289 0.702412 0.0163001
24 1 0.637059 0.992036 0.444026
1348 1 0.160096 0.502396 0.344268
144 1 0.708475 0.86243 0.0815439
512 1 0.105854 0.954871 0.00864398
791 1 0.954508 0.993014 0.0146732
1814 1 0.449602 0.915715 0.0508957
1319 1 0.148445 0.59936 0.0370768
1897 1 0.0903114 0.55625 0.126828
1894 1 0.276851 0.51974 0.00222087
133 1 0.0219379 0.572261 0.0581158
170 1 0.840137 0.616852 0.032978
1447 1 0.411229 0.587266 0.0714946
838 1 0.306475 0.846405 0.0404288
706 1 0.779727 0.995035 0.252847
2000 1 0.524748 0.675065 0.0906571
1168 1 0.195305 0.615128 0.0374455
1586 1 0.564351 0.704185 0.119807
1428 1 0.23021 0.720789 0.00870688
1229 1 0.535579 0.642911 0.0471412
664 1 0.23457 0.784092 0.0855246
162 1 0.551705 0.797948 0.0897682
467 1 0.850788 0.793295 0.00998945
1022 1 0.497163 0.784198 0.0366759
1545 1 0.299186 0.886919 0.0883675
1979 1 0.0884077 0.999116 0.0822097
848 1 0.602756 0.580777 0.492916
867 1 0.158948 0.510837 0.266797
960 1 0.0265181 0.509378 0.0804492
74 1 0.327194 0.524081 0.0661472
1727 1 0.274915 0.619149 0.0287285
1507 1 0.424217 0.63814 0.127167
1445 1 0.0926804 0.612455 0.0839954
792 1 0.310106 0.683473 0.0891106
258 1 0.509035 0.68571 0.00309222
1001 1 0.141037 0.637844 0.105156
702 1 0.490599 0.616542 0.00751687
1903 1 0.640447 0.638315 0.0192468
447 1 0.62122 0.707489 0.0578933
1780 1 0.651418 0.759154 0.113978
855 1 0.108196 0.66518 0.0651771
832 1 0.571561 0.823986 0.0931905
1627 1 0.0783888 0.808889 0.113742
1299 1 0.520902 0.898797 0.078421
765 1 0.594744 0.841603 0.0579392
1213 1 0.592064 0.850594 0.0507028
200 1 0.963754 0.853029 0.0862988
988 1 0.334707 0.965637 0.0625879
63 1 0.313911 0.937608 0.00413176
228 1 0.603999 0.963711 0.0204002
1975 1 0.908688 0.993373 0.00275075
1416 1 0.0400256 0.500472 0.194249
694 1 0.809044 0.594413 0.0879545
313 1 0.466055 0.6538 0.043503
552 1 0.720054 0.578243 0.0549571
2042 1 0.851463 0.595491 0.0895824
211 1 0.950991 0.640882 0.0736096
363 1 0.636164 0.621127 0.0628686
79 1 0.651691 0.616578 0.112325
1143 1 0.897994 0.624283 0.103208
810 1 0.794438 0.630472 0.118232
1791 1 0.151016 0.747839 0.0725759
1232 1 0.558161 0.692845 0.0736876
725 1 0.0156873 0.783898 0.0490425
729 1 0.142142 0.772687 0.0832961
1151 1 0.644325 0.775074 0.106726
401 1 0.879386 0.864231 0.115916
1482 1 0.803709 0.847281 0.0870825
962 1 0.421593 0.879699 0.0206225
1410 1 0.617464 0.910872 0.0898326
1738 1 0.750182 0.979136 0.0998412
1739 1 0.33742 0.974917 0.14359
1330 1 0.303369 0.510114 0.151656
1329 1 0.676755 0.958625 0.359762
1564 1 0.895029 0.986546 0.130272
1779 1 0.566682 0.5321 0.153129
1852 1 0.527251 0.711675 0.118592
270 1 0.201148 0.73618 0.0843775
1850 1 0.812934 0.537534 0.498448
2014 1 0.0688471 0.71969 0.0956893
749 1 0.274917 0.98789 0.046474
1133 1 0.578176 0.879254 0.0956322
371 1 0.0788379 0.924597 0.0512883
1037 1 0.817536 0.940141 0.167132
35 1 0.692431 0.509261 0.108342
568 1 0.111364 0.910993 0.101969
601 1 0.543439 0.518385 0.295848
1633 1 0.0352789 0.516719 0.108487
1762 1 0.307015 0.511332 0.00309961
2038 1 0.666616 0.564876 0.0726185
75 1 0.494403 0.590749 0.147267
1398 1 0.752366 0.674309 0.10785
698 1 0.814318 0.703805 0.115773
1649 1 0.425746 0.723906 0.144074
1854 1 0.689567 0.826738 0.100773
143 1 0.938619 0.732252 0.119937
548 1 0.958125 0.811493 0.084463
1519 1 0.0162931 0.864093 0.145519
1179 1 0.796726 0.862803 0.20839
1164 1 0.538453 0.945923 0.0799476
450 1 0.656734 0.950175 0.0848056
1712 1 0.807631 0.887461 0.153567
797 1 0.887163 0.92143 0.0548625
1817 1 0.594057 0.945103 0.144659
1938 1 0.57252 0.824214 0.0160693
413 1 0.0440519 0.969013 0.144076
649 1 0.0448916 0.878581 0.491337
1372 1 0.0487868 0.581697 0.0967836
108 1 0.786658 0.535204 0.157034
1327 1 0.785643 0.617346 0.106635
27 1 0.0123233 0.566613 0.14821
1003 1 0.835174 0.712383 0.112135
1183 1 0.908973 0.737618 0.151906
1632 1 0.0741104 0.796584 0.125751
214 1 0.87408 0.737682 0.167999
1359 1 0.223292 0.784843 0.15957
57 1 0.243134 0.860787 0.124551
984 1 0.194214 0.837669 0.142686
1497 1 0.844638 0.867295 0.15913
809 1 0.250708 0.959276 0.120323
1603 1 0.967205 0.913658 0.00821566
1518 1 0.190135 0.970013 0.113194
1134 1 0.243433 0.938729 0.402886
935 1 0.124538 0.518302 0.126155
1920 1 0.336717 0.628555 0.15555
1476 1 0.739437 0.688747 0.212457
395 1 0.233745 0.658381 0.100214
115 1 0.585896 0.664113 0.188278
500 1 0.92846 0.742779 0.126075
1924 1 0.329681 0.699136 0.214954
730 1 0.267016 0.821462 0.0902873
1521 1 0.421431 0.78783 0.162952
623 1 0.808365 0.871548 0.219926
753 1 0.408943 0.818654 0.143443
1105 1 0.741495 0.877295 0.17761
448 1 0.471774 0.874111 0.197289
88 1 0.710461 0.881022 0.182636
259 1 0.517012 0.976771 0.117338
1443 1 0.484918 0.960683 0.157342
140 1 0.877776 0.979975 0.112019
1354 1 0.103497 0.574453 0.464654
1433 1 0.310651 0.562816 0.201759
1936 1 0.947068 0.55037 0.175095
323 1 0.440871 0.565795 0.171845
888 1 0.860901 0.631932 0.069166
824 1 0.450496 0.653742 0.112864
81 1 0.536722 0.633908 0.222876
241 1 0.142039 0.730422 0.181101
86 1 0.00752306 0.681303 0.170866
383 1 0.643648 0.726183 0.170531
84 1 0.870519 0.715234 0.290741
1756 1 0.315793 0.701445 0.212101
1702 1 0.336996 0.781746 0.146915
309 1 0.317541 0.873483 0.210298
227 1 0.500836 0.921798 0.154426
389 1 0.746747 0.908023 0.155871
1060 1 0.898716 0.899882 0.138879
769 1 0.255087 0.891338 0.126886
1853 1 0.430737 0.859017 0.204719
1442 1 0.462372 0.985478 0.156793
1993 1 0.588416 0.936485 0.112749
1300 1 0.76936 0.974844 0.135883
1347 1 0.919775 0.974402 0.26398
1967 1 0.871759 0.53685 0.208856
745 1 0.670451 0.524213 0.448239
1662 1 0.889648 0.567777 0.210864
1389 1 0.960887 0.609158 0.169437
1800 1 0.852001 0.608811 0.24003
478 1 0.529006 0.647907 0.159076
52 1 0.0196062 0.705474 0.239105
1369 1 0.0584353 0.678157 0.188262
451 1 0.393865 0.761402 0.118176
1361 1 0.992637 0.759326 0.170931
948 1 0.778901 0.742443 0.193416
1732 1 0.759765 0.710957 0.201857
1058 1 0.972119 0.884551 0.244717
1541 1 0.403891 0.90552 0.186634
1184 1 0.612816 0.880726 0.259311
1687 1 0.968688 0.896142 0.155641
1356 1 0.992767 0.951826 0.226905
1113 1 0.976189 0.952196 0.146861
1723 1 0.417133 0.95581 0.152176
243 1 0.768354 0.923997 0.182776
483 1 0.338941 0.511914 0.193084
416 1 0.305762 0.547147 0.235579
1862 1 0.0521479 0.554766 0.208838
612 1 0.144224 0.633269 0.268451
1038 1 0.691916 0.560756 0.219567
479 1 0.0131311 0.621828 0.264977
1683 1 0.320807 0.728817 0.154458
950 1 0.584631 0.650001 0.24944
423 1 0.438994 0.629068 0.208746
1504 1 0.208486 0.737265 0.199145
1066 1 0.420523 0.717487 0.224288
1864 1 0.959086 0.678284 0.202062
456 1 0.159908 0.749157 0.23671
1406 1 0.677877 0.728101 0.253464
1647 1 0.14973 0.756749 0.21665
294 1 0.222027 0.709784 0.192094
225 1 0.231143 0.783578 0.204564
477 1 0.881477 0.799845 0.178833
1152 1 0.421746 0.774406 0.244705
1821 1 0.21435 0.848652 0.237085
42 1 0.406788 0.847475 0.189267
1146 1 0.946824 0.885449 0.258924
1483 1 0.783141 0.906002 0.214318
1734 1 0.393482 0.899414 0.0284592
598 1 0.769957 0.566624 0.194241
1316 1 0.417693 0.649011 0.237531
61 1 0.622065 0.676977 0.208959
201 1 0.701408 0.727428 0.224588
1035 1 0.446158 0.796567 0.220484
344 1 0.509335 0.753754 0.1825
1832 1 0.270281 0.802074 0.219211
1156 1 0.397836 0.840799 0.261844
777 1 0.0420229 0.895567 0.220198
736 1 0.0866277 0.907789 0.245453
1581 1 0.936505 0.951229 0.165135
19 1 0.810327 0.500543 0.244987
1811 1 0.342934 0.921429 0.246051
525 1 0.68751 0.947862 0.317568
2030 1 0.760494 0.966036 0.221008
1407 1 0.049493 0.547055 0.199742
476 1 0.329593 0.58336 0.258135
744 1 0.920777 0.613338 0.27795
1484 1 0.637111 0.56725 0.19401
793 1 0.600731 0.749135 0.234413
928 1 0.466177 0.700629 0.295981
1942 1 0.578127 0.737382 0.260838
1238 1 0.63427 0.783331 0.232082
1059 1 0.552567 0.790339 0.223882
192 1 0.642174 0.794298 0.223566
840 1 0.795816 0.786032 0.254304
1860 1 0.707757 0.862712 0.197954
112 1 0.244022 0.914857 0.21805
223 1 0.754301 0.924204 0.249472
1145 1 0.965831 0.89848 0.239132
98 1 0.637103 0.984807 0.246984
1768 1 0.237382 0.513729 0.294631
1034 1 0.976849 0.543505 0.242872
171 1 0.505179 0.549447 0.242455
345 1 0.343749 0.643929 0.181092
589 1 0.807656 0.632228 0.268229
90 1 0.575612 0.647402 0.274316
1867 1 0.484778 0.763844 0.20947
1585 1 0.754739 0.742898 0.247931
1046 1 0.962646 0.744935 0.181035
1438 1 0.427576 0.784462 0.280238
1868 1 0.574355 0.861579 0.300598
400 1 0.621411 0.907294 0.308451
578 1 0.787684 0.899349 0.276751
1503 1 0.742588 0.503039 0.313264
1531 1 0.039798 0.598547 0.303723
1047 1 0.715995 0.550731 0.327655
624 1 0.34224 0.555475 0.285078
333 1 0.428009 0.582198 0.298913
1828 1 0.188375 0.572303 0.314736
1102 1 0.898496 0.640741 0.304987
1940 1 0.158216 0.670643 0.297276
507 1 0.0257878 0.736985 0.283123
773 1 0.459328 0.684865 0.254769
213 1 0.489057 0.788088 0.295904
1007 1 0.89928 0.747603 0.33699
878 1 0.0728396 0.804976 0.330469
1558 1 0.177946 0.799081 0.268812
1707 1 0.15628 0.85692 0.264807
1617 1 0.963481 0.801245 0.223027
586 1 0.553271 0.828672 0.231282
732 1 0.979658 0.814775 0.252796
461 1 0.25487 0.855347 0.267903
1083 1 0.676471 0.898987 0.251914
377 1 0.300533 0.925845 0.262473
410 1 0.53678 0.936253 0.258676
1770 1 0.168317 0.571248 0.435386
743 1 0.177261 0.948928 0.137193
1099 1 0.854885 0.617293 0.299391
1351 1 0.218493 0.649495 0.305756
527 1 0.644646 0.620998 0.330948
495 1 0.0265606 0.65074 0.327137
1065 1 0.46385 0.669453 0.354898
1882 1 0.182444 0.646942 0.267073
1111 1 0.768646 0.665615 0.322145
1553 1 0.998208 0.680557 0.37796
677 1 0.0645875 0.657911 0.244094
422 1 0.780365 0.706152 0.341771
851 1 0.126278 0.770365 0.316534
1062 1 0.00600341 0.805511 0.255197
93 1 0.841473 0.758786 0.273224
1210 1 0.952894 0.821879 0.290223
1380 1 0.504265 0.86394 0.27838
1879 1 0.639051 0.874535 0.309214
1268 1 0.402334 0.96647 0.283144
1017 1 0.933579 0.952853 0.318178
1798 1 0.831017 0.949098 0.25927
1825 1 0.938907 0.996671 0.297157
334 1 0.0937953 0.769732 0.0148025
521 1 0.131893 0.543744 0.279463
1652 1 0.326385 0.549647 0.278025
871 1 0.217052 0.562258 0.30316
559 1 0.339223 0.513847 0.286026
811 1 0.162731 0.610417 0.333652
889 1 0.846056 0.659825 0.346944
2046 1 0.0351598 0.641258 0.306228
683 1 0.553101 0.65301 0.390153
2021 1 0.735667 0.675546 0.316804
619 1 0.542633 0.663336 0.398274
1808 1 0.390483 0.749073 0.240811
897 1 0.517979 0.716814 0.289753
1690 1 0.816374 0.753278 0.329581
1185 1 0.387634 0.788361 0.346172
100 1 0.545859 0.818734 0.398262
1869 1 0.671185 0.871189 0.269828
1728 1 0.612908 0.849244 0.282634
608 1 0.142994 0.926826 0.269238
1706 1 0.244805 0.951549 0.321044
1042 1 0.244103 0.851673 0.321493
280 1 0.699532 0.911145 0.31494
2032 1 0.125652 0.889106 0.321814
172 1 0.330713 0.89303 0.325976
2036 1 0.628715 0.948563 0.3809
914 1 0.589612 0.677182 0.00177594
1239 1 0.999233 0.500659 0.325828
399 1 0.718763 0.539667 0.344522
1527 1 0.167931 0.552195 0.29574
976 1 0.155282 0.587303 0.361285
1602 1 0.0770377 0.597485 0.35198
693 1 0.60503 0.614148 0.343663
310 1 0.359972 0.551208 0.335294
983 1 0.944589 0.654565 0.37378
1929 1 0.0507322 0.707957 0.351172
426 1 0.926729 0.76253 0.322827
409 1 0.0532694 0.784447 0.338387
1950 1 0.305672 0.806015 0.379375
545 1 0.118514 0.845968 0.339703
414 1 0.0986789 0.861882 0.407064
906 1 0.606358 0.906725 0.383515
1987 1 0.84273 0.836561 0.281226
277 1 0.670579 0.942335 0.329133
58 1 0.713829 0.918423 0.317116
1498 1 0.952511 0.92806 0.322998
546 1 0.98849 0.987163 0.098109
1140 1 0.495742 0.971455 0.288688
1207 1 0.850839 0.569591 0.361032
762 1 0.324525 0.571304 0.383894
1753 1 0.197351 0.571363 0.325097
484 1 0.464611 0.640468 0.368863
1252 1 0.37268 0.658941 0.443457
1248 1 0.983258 0.731032 0.347279
760 1 0.199713 0.695423 0.427415
956 1 0.798783 0.753915 0.350085
220 1 0.623872 0.751818 0.39352
1516 1 0.85803 0.700087 0.340733
1912 1 0.766234 0.783355 0.427413
206 1 0.997238 0.845619 0.435591
14 1 0.843425 0.804328 0.316816
1076 1 0.0532604 0.898122 0.26652
302 1 0.0866804 0.901262 0.345521
1682 1 0.494209 0.869849 0.339049
1571 1 0.830259 0.869435 0.360079
1129 1 0.80595 0.968346 0.36073
1579 1 0.672422 0.758502 0.101044
1365 1 0.470965 0.523647 0.465794
1991 1 0.0173608 0.528457 0.337032
1366 1 0.0796755 0.589443 0.381385
504 1 0.78067 0.549589 0.382687
252 1 0.375452 0.7197 0.437803
973 1 0.681278 0.680531 0.385818
1256 1 0.324073 0.779968 0.371302
785 1 0.295464 0.722737 0.336949
1116 1 0.269916 0.707426 0.317169
1214 1 0.90632 0.763049 0.449504
1226 1 0.340033 0.862798 0.354915
946 1 0.358311 0.760688 0.395265
767 1 0.52736 0.757137 0.371881
1456 1 0.694956 0.838173 0.344731
1306 1 0.0737477 0.797423 0.400048
405 1 0.745485 0.80975 0.288962
1044 1 0.680097 0.894522 0.361959
1061 1 0.678099 0.886706 0.355954
249 1 0.813515 0.921226 0.419574
378 1 0.562597 0.941488 0.370323
1953 1 0.278854 0.89921 0.355192
839 1 0.916825 0.996949 0.41625
1562 1 0.11876 0.957746 0.422027
152 1 0.321902 0.982528 0.397118
1363 1 0.596656 0.904739 0.36501
847 1 0.501953 0.601351 0.453879
1587 1 0.716641 0.501585 0.415661
351 1 0.270201 0.574986 0.34878
1048 1 0.225794 0.568329 0.368332
158 1 0.748488 0.622425 0.38523
13 1 0.861104 0.632498 0.361454
251 1 0.280683 0.61243 0.374966
800 1 0.883618 0.733213 0.381799
501 1 0.865547 0.685594 0.420886
1492 1 0.404991 0.768365 0.430444
1202 1 0.937825 0.725751 0.354599
125 1 0.156903 0.679295 0.299948
1481 1 0.149507 0.750117 0.391917
2048 1 0.358991 0.889972 0.448622
1653 1 0.24476 0.924621 0.393516
918 1 0.949304 0.980797 0.434896
1837 1 0.565013 0.998521 0.329763
1493 1 0.589396 0.54144 0.439522
296 1 0.0576989 0.575497 0.399466
474 1 0.59302 0.644805 0.369512
1101 1 0.924946 0.683703 0.368234
1155 1 0.496932 0.674052 0.406215
1693 1 0.7321 0.684389 0.449426
1631 1 0.389552 0.734861 0.435985
1018 1 0.362299 0.751485 0.408422
1943 1 0.327546 0.812067 0.409406
1524 1 0.465378 0.776345 0.453727
2029 1 0.589667 0.763222 0.380043
1167 1 0.596413 0.794356 0.442159
209 1 0.834717 0.853065 0.39472
582 1 0.950722 0.901297 0.415168
1793 1 0.343679 0.935449 0.480998
2001 1 0.535985 0.915848 0.391113
114 1 0.601875 0.868004 0.429274
197 1 0.740532 0.953592 0.48674
2009 1 0.805545 0.874982 0.445025
710 1 0.497185 0.520909 0.42287
554 1 0.149707 0.504674 0.0229347
804 1 0.630051 0.593414 0.403734
1523 1 0.482667 0.609147 0.458587
235 1 0.804846 0.604573 0.404184
1029 1 0.519618 0.639327 0.456512
1153 1 0.760965 0.573642 0.40525
178 1 0.00539758 0.636899 0.451167
1733 1 0.0166684 0.592124 0.447871
1033 1 0.50294 0.99499 0.324369
314 1 0.591344 0.608654 0.444951
1177 1 0.645306 0.685629 0.469809
356 1 0.771521 0.631463 0.447723
901 1 0.765737 0.679745 0.461323
290 1 0.969167 0.695793 0.408671
1353 1 0.0780074 0.7085 0.376292
1247 1 0.586639 0.808091 0.465057
99 1 0.344124 0.79414 0.375334
132 1 0.9181 0.85313 0.440631
1081 1 0.988444 0.846153 0.467686
318 1 0.180345 0.882529 0.429683
1965 1 0.564096 0.904127 0.403925
131 1 0.0454626 0.977787 0.443868
375 1 0.162821 0.564087 0.0229281
667 1 0.0176878 0.965413 0.0600329
1557 1 0.671812 0.510075 0.49471
1829 1 0.790651 0.565464 0.453289
1103 1 0.362858 0.554416 0.441073
1041 1 0.696682 0.568429 0.46064
1259 1 0.0694695 0.682934 0.482411
509 1 0.456732 0.733557 0.457815
783 1 0.115139 0.730791 0.464772
1648 1 0.589102 0.719355 0.443395
631 1 0.0893987 0.760981 0.473997
685 1 0.527793 0.79067 0.482798
1871 1 0.192189 0.795204 0.461947
1715 1 0.219987 0.945753 0.47115
1629 1 0.936916 0.991013 0.255716
415 1 0.335101 0.99186 0.0229923
1550 1 0.816234 0.930253 0.478483
1136 1 0.183565 0.99083 0.00215081
110 1 0.444127 0.607117 0.423412
1536 1 0.0728685 0.649715 0.472227
1907 1 0.428954 0.580886 0.491867
2022 1 0.669806 0.640311 0.0294033
1437 1 0.195274 0.67335 0.422679
1289 1 0.394003 0.734071 0.444834
1595 1 0.286406 0.513992 0.00840832
1150 1 0.611723 0.690181 0.464502
1582 1 0.572436 0.799368 0.471475
1902 1 0.678886 0.923821 0.0134686
530 1 0.945135 0.801524 0.494238
1792 1 0.249332 0.853472 0.443063
2043 1 0.509991 0.799053 0.410394
787 1 0.352154 0.545205 0.301913
373 1 0.216969 0.631296 0.0141682
153 1 0.532272 0.89392 0.455995
9 1 0.173536 0.894694 0.493997
570 1 0.0130619 0.948646 0.485674
185 1 0.745219 0.538938 0.228186
872 1 0.0659002 0.5027 0.425374
564 1 0.0192828 0.990718 0.471803
1892 1 0.464439 0.695719 0.476418
933 1 0.618609 0.804297 0.0151649
1637 1 0.344982 0.593961 0.489235
1806 1 0.957185 0.522396 0.378544
938 1 0.683547 0.735829 0.498799
1231 1 0.0434607 0.74136 0.48824
1962 1 0.845402 0.656783 0.467242
727 1 0.188526 0.744351 0.480762
902 1 0.832065 0.834249 0.49681
1626 1 0.678023 0.732663 0.420996
1196 1 0.188146 0.789249 0.446117
1628 1 0.614897 0.550687 0.323155
324 1 0.587427 0.896935 0.492162
2025 1 0.0833013 0.617276 0.471612
910 1 0.73466 0.584536 0.0307051
621 1 0.521473 0.692138 0.0197689
1217 1 0.406684 0.965242 0.0654253
1137 1 0.818942 0.687063 0.0039072
266 1 0.454036 0.511197 0.519826
1801 1 0.94272 0.522715 0.551992
1208 1 0.986626 0.631829 0.534981
573 1 0.458533 0.565678 0.837042
1547 1 0.327937 0.745092 0.978063
814 1 0.258522 0.608303 0.544685
60 1 0.941797 0.67807 0.51225
372 1 0.0294424 0.8973 0.976792
1758 1 0.323268 0.783625 0.525824
1227 1 0.855735 0.75429 0.923819
852 1 0.741313 0.831483 0.53172
1395 1 0.327075 0.807967 0.552837
680 1 0.739994 0.953513 0.958367
534 1 0.654495 0.9798 0.565303
338 1 0.387286 0.553494 0.84199
1534 1 0.456739 0.53556 0.996578
1379 1 0.823579 0.578283 0.55258
794 1 0.24595 0.600329 0.551106
2019 1 0.567815 0.547789 0.526602
368 1 0.763911 0.973731 0.505113
1260 1 0.513093 0.990842 0.628072
904 1 0.960778 0.612702 0.533123
1736 1 0.822178 0.985089 0.518927
1766 1 0.272146 0.623864 0.508614
1772 1 0.593021 0.639554 0.544781
2018 1 0.16245 0.68102 0.549655
1391 1 0.564489 0.681934 0.500986
874 1 0.85148 0.67467 0.569885
1790 1 0.591363 0.728097 0.581008
1495 1 0.493535 0.739553 0.558282
1517 1 0.816703 0.79238 0.515671
877 1 0.00190284 0.839698 0.570283
1592 1 0.468106 0.823212 0.578989
113 1 0.628725 0.825806 0.507787
31 1 0.621294 0.810955 0.565994
282 1 0.699335 0.919632 0.605586
135 1 0.886689 0.860442 0.516797
1608 1 0.639124 0.902618 0.531026
497 1 0.0474766 0.544185 0.500744
1964 1 0.111973 0.90146 0.990412
661 1 0.89567 0.57577 0.565677
159 1 0.0114446 0.545727 0.616404
763 1 0.687372 0.612431 0.531022
289 1 0.265307 0.615909 0.510205
737 1 0.759916 0.602937 0.525508
617 1 0.608272 0.730833 0.533415
53 1 0.974117 0.685049 0.517575
1002 1 0.0845064 0.768076 0.510676
930 1 0.572054 0.739961 0.560676
1451 1 0.186012 0.855438 0.583221
750 1 0.519185 0.825913 0.570367
160 1 0.121189 0.847634 0.585517
1619 1 0.828733 0.858998 0.537017
856 1 0.14868 0.90986 0.57746
1240 1 0.180353 0.863809 0.595086
396 1 0.807051 0.93147 0.502719
473 1 0.554424 0.90801 0.568798
1290 1 0.933931 0.967639 0.530853
758 1 0.68276 0.525814 0.577179
260 1 0.097226 0.651076 0.583395
916 1 0.294798 0.499917 0.569777
922 1 0.102803 0.643147 0.562019
47 1 0.954563 0.640949 0.514693
1077 1 0.079088 0.652569 0.554042
1244 1 0.031891 0.663846 0.613874
123 1 0.458821 0.656231 0.591804
841 1 0.850438 0.728959 0.544903
784 1 0.625708 0.729201 0.594234
1189 1 0.702157 0.776856 0.560001
1822 1 0.805938 0.737712 0.518276
164 1 0.841876 0.748963 0.609782
1414 1 0.29677 0.728445 0.625584
1107 1 0.2959 0.761035 0.538459
1674 1 0.813649 0.836386 0.546838
15 1 0.149128 0.895393 0.541535
1963 1 0.4291 0.815018 0.599103
1872 1 0.128382 0.880603 0.52196
815 1 0.0862985 0.942929 0.578447
1125 1 0.318005 0.505509 0.613954
1535 1 0.72141 0.506899 0.552787
1846 1 0.533447 0.552063 0.580431
775 1 0.885485 0.579053 0.610513
1866 1 0.399105 0.629317 0.59028
1117 1 0.886044 0.62898 0.575601
406 1 0.489415 0.639914 0.594901
1948 1 0.013562 0.697006 0.597789
1941 1 0.882925 0.730926 0.585319
1725 1 0.591423 0.785633 0.617759
1737 1 0.401978 0.763521 0.534753
1567 1 0.855028 0.71468 0.574002
1267 1 0.868488 0.841691 0.593567
508 1 0.458327 0.901619 0.581633
256 1 0.898216 0.901672 0.566431
1713 1 0.0271845 0.949393 0.530877
670 1 0.380381 0.991862 0.612856
1870 1 0.366133 0.996068 0.546769
1434 1 0.527307 0.753946 0.996348
2002 1 0.937253 0.570721 0.544257
1460 1 0.326186 0.738959 0.9938
2044 1 0.0516023 0.588591 0.587224
1094 1 0.787503 0.557046 0.559639
1660 1 0.717158 0.618614 0.657187
1123 1 0.677428 0.65557 0.620463
315 1 0.51537 0.643854 0.58891
2034 1 0.367426 0.66068 0.611829
1487 1 0.3932 0.731413 0.559721
1005 1 0.0795655 0.709446 0.58061
1769 1 0.911785 0.768367 0.520862
1748 1 0.512239 0.770314 0.613648
1255 1 0.278305 0.899039 0.57332
759 1 0.218625 0.957566 0.605292
1855 1 0.951786 0.991788 0.703279
1635 1 0.862285 0.533982 0.662585
1086 1 0.0886987 0.511829 0.605303
109 1 0.108048 0.653066 0.680475
1358 1 0.697404 0.641925 0.623126
1873 1 0.0506226 0.602978 0.595829
977 1 0.0726992 0.591329 0.667275
116 1 0.888527 0.627976 0.690113
1575 1 0.188306 0.685103 0.615224
1999 1 0.215821 0.638662 0.679349
1745 1 0.344839 0.758403 0.653211
292 1 0.237286 0.778756 0.641148
1809 1 0.282003 0.789312 0.638711
1144 1 0.815992 0.822133 0.597725
1657 1 0.00644656 0.853068 0.625256
1913 1 0.615106 0.916583 0.686436
458 1 0.437385 0.968523 0.645679
1092 1 0.686059 0.547048 0.574943
558 1 0.912283 0.557221 0.66107
248 1 0.0363664 0.608414 0.610066
585 1 0.60624 0.663143 0.621061
1193 1 0.516402 0.665029 0.644028
1972 1 0.578585 0.767605 0.670054
1088 1 0.727267 0.718299 0.636156
2045 1 0.57267 0.734564 0.682993
336 1 0.886427 0.805415 0.55918
676 1 0.15145 0.855168 0.662458
92 1 0.657784 0.867291 0.688356
8 1 0.556386 0.824384 0.614163
678 1 0.793069 0.888655 0.617006
668 1 0.34002 0.911208 0.541135
632 1 0.303241 0.504093 0.764937
1486 1 0.923553 0.642819 0.612097
1831 1 0.784132 0.625098 0.691655
1181 1 0.0374795 0.706352 0.646459
357 1 0.291525 0.775481 0.634645
1896 1 0.187737 0.726844 0.688381
952 1 0.336846 0.796706 0.665883
1441 1 0.50895 0.749125 0.607444
1448 1 0.451994 0.780277 0.716016
482 1 0.19403 0.838506 0.639051
452 1 0.438762 0.818541 0.676971
32 1 0.146976 0.827241 0.66112
903 1 0.721139 0.894788 0.686183
1995 1 0.991494 0.923347 0.667756
325 1 0.0732372 0.971284 0.641261
146 1 0.0986758 0.928953 0.640382
1216 1 0.520657 0.984402 0.685556
355 1 0.00838127 0.552292 0.888259
563 1 0.486 0.954015 0.534506
1336 1 0.934967 0.589066 0.660106
1488 1 0.374791 0.618532 0.671832
439 1 0.344783 0.600325 0.609077
813 1 0.831745 0.641377 0.685199
1063 1 0.693017 0.753864 0.66972
1561 1 0.750053 0.770342 0.669879
157 1 0.336734 0.714832 0.663288
626 1 0.958931 0.84563 0.638956
1161 1 0.511835 0.86788 0.658705
613 1 0.898578 0.936593 0.633276
754 1 0.889367 0.935725 0.652877
54 1 0.916809 0.955394 0.650732
71 1 0.814011 0.932716 0.667691
104 1 0.911312 0.94555 0.601568
103 1 0.247434 0.967896 0.665312
381 1 0.142483 0.584611 0.659945
1467 1 0.179014 0.580452 0.726258
862 1 0.933261 0.676738 0.694401
996 1 0.754333 0.621139 0.777953
537 1 0.0146356 0.71475 0.687564
1594 1 0.795264 0.706867 0.74525
1341 1 0.963088 0.727044 0.704968
1826 1 0.39711 0.85122 0.676162
1310 1 0.852105 0.816219 0.700267
516 1 0.230927 0.839659 0.680329
1386 1 0.00192858 0.850628 0.651953
1988 1 0.288463 0.881702 0.670457
1104 1 0.327946 0.879577 0.659445
311 1 0.871674 0.946191 0.659891
964 1 0.605483 0.923464 0.707507
583 1 0.591696 0.896542 0.662546
728 1 0.956523 0.800913 0.507865
1031 1 0.883781 0.839324 0.532745
1139 1 0.48443 0.525652 0.701548
167 1 0.519432 0.521171 0.739682
283 1 0.551292 0.516776 0.72913
533 1 0.262165 0.633723 0.506641
444 1 0.0293519 0.580111 0.761345
1719 1 0.997576 0.601029 0.733355
95 1 0.883911 0.623355 0.742894
1985 1 0.989392 0.725678 0.709799
1270 1 0.956162 0.734132 0.70905
535 1 0.438626 0.818006 0.78383
207 1 0.735931 0.79335 0.709573
179 1 0.77191 0.84319 0.721029
1110 1 0.624632 0.906245 0.690759
1390 1 0.442768 0.872765 0.729273
1293 1 0.855758 0.885057 0.759249
1847 1 0.542917 0.900308 0.670481
1966 1 0.731579 0.956875 0.747236
475 1 0.00302847 0.937732 0.723778
51 1 0.413441 0.941747 0.723631
41 1 0.410329 0.970157 0.723817
239 1 0.453358 0.950732 0.761489
97 1 0.229454 0.546579 0.922226
96 1 0.84322 0.543364 0.706625
1158 1 0.0532753 0.542949 0.737627
1816 1 0.0883809 0.612676 0.695632
297 1 0.35296 0.644434 0.750844
905 1 0.928147 0.59825 0.662166
560 1 0.169404 0.586417 0.706471
1990 1 0.130069 0.595248 0.683352
658 1 0.725115 0.600568 0.700794
523 1 0.0527908 0.668258 0.660331
768 1 0.671332 0.694058 0.734659
76 1 0.0934977 0.743031 0.753713
898 1 0.805612 0.681231 0.735465
1186 1 0.445871 0.710881 0.722204
1392 1 0.0267183 0.799799 0.693566
975 1 0.549333 0.822069 0.753739
799 1 0.213857 0.827618 0.702215
1958 1 0.340131 0.84549 0.761786
714 1 0.326733 0.818008 0.697993
1068 1 0.534744 0.961216 0.771853
1127 1 0.0431875 0.829478 0.986511
1599 1 0.3281 0.979803 0.802852
1694 1 0.39678 0.528344 0.781618
1230 1 0.903875 0.536212 0.73255
1898 1 0.131453 0.518379 0.770873
436 1 0.165468 0.612533 0.66266
222 1 0.950818 0.551242 0.774874
1514 1 0.100451 0.586115 0.861774
1548 1 0.996622 0.630539 0.774726
190 1 0.146209 0.638462 0.765681
1313 1 0.64496 0.638346 0.80393
299 1 0.578275 0.690198 0.743989
776 1 0.543407 0.649649 0.73399
175 1 0.685788 0.701178 0.721317
169 1 0.199119 0.738233 0.709808
506 1 0.437926 0.7142 0.773987
641 1 0.61479 0.756987 0.752324
679 1 0.825473 0.866986 0.777359
1704 1 0.931912 0.777793 0.73767
11 1 0.260464 0.873038 0.781431
671 1 0.869615 0.916006 0.727306
264 1 0.383742 0.909804 0.766972
1162 1 0.76876 0.958084 0.690246
1393 1 0.281594 0.931408 0.778152
801 1 0.983264 0.963791 0.808949
442 1 0.0491512 0.999544 0.776038
690 1 0.294966 0.976943 0.535142
1877 1 0.918842 0.998461 0.723724
542 1 0.313929 0.528209 0.872824
2003 1 0.89603 0.560129 0.804704
1568 1 0.145799 0.545846 0.786693
1526 1 0.0701548 0.620286 0.771902
1169 1 0.857332 0.674499 0.764571
1283 1 0.541927 0.718881 0.862491
1475 1 0.174972 0.697274 0.739714
1623 1 0.819876 0.717632 0.805684
285 1 0.688499 0.794986 0.828657
2041 1 0.676205 0.774822 0.717208
30 1 0.704374 0.753786 0.736104
10 1 0.86211 0.770088 0.791746
1373 1 0.106451 0.850507 0.774336
1578 1 0.665305 0.824698 0.805569
1357 1 0.932938 0.86539 0.717058
1027 1 0.99584 0.839272 0.754125
584 1 0.0976822 0.838145 0.803915
242 1 0.786027 0.942315 0.766645
1775 1 0.128181 0.900044 0.810512
1989 1 0.216308 0.997946 0.760345
1465 1 0.670459 0.530013 0.522445
951 1 0.544775 0.978508 0.752953
770 1 0.817402 0.592352 0.78557
80 1 0.982521 0.6376 0.807013
1515 1 0.151731 0.687725 0.780552
1900 1 0.176827 0.682395 0.802439
1646 1 0.520941 0.735516 0.84743
1188 1 0.674538 0.753673 0.785523
293 1 0.818021 0.836958 0.797925
913 1 0.151553 0.826617 0.808837
735 1 0.637747 0.914663 0.801745
2037 1 0.292262 0.912444 0.753121
1112 1 0.690773 0.997453 0.784704
597 1 0.919371 0.967672 0.887709
842 1 0.191396 0.999491 0.816963
1932 1 0.932913 0.969681 0.764561
1917 1 0.573475 0.772112 0.985774
39 1 0.436352 0.585863 0.735726
341 1 0.477277 0.585864 0.741731
1939 1 0.027621 0.621818 0.821725
970 1 0.37342 0.593797 0.819084
291 1 0.91767 0.604096 0.821233
892 1 0.415892 0.628575 0.756495
691 1 0.741603 0.604156 0.77588
1288 1 0.845077 0.754216 0.77823
1346 1 0.161829 0.806431 0.79761
322 1 0.730427 0.762761 0.821315
538 1 0.685453 0.780683 0.838171
165 1 0.58567 0.791525 0.822845
2015 1 0.901955 0.881049 0.733939
967 1 0.00897235 0.909221 0.843454
659 1 0.81502 0.868442 0.819855
1274 1 0.493953 0.860132 0.879946
1121 1 0.0356463 0.840415 0.834927
831 1 0.603119 0.922218 0.71554
402 1 0.402784 0.871443 0.996167
498 1 0.600102 0.988933 0.782671
650 1 0.5964 0.581574 0.843895
859 1 0.328604 0.627552 0.780702
1509 1 0.33975 0.607105 0.770657
1425 1 0.131968 0.62361 0.781614
1135 1 0.113613 0.606997 0.791474
216 1 0.649635 0.638113 0.829692
1071 1 0.543629 0.59928 0.853277
328 1 0.46504 0.672128 0.894375
907 1 0.969561 0.630306 0.750949
271 1 0.528835 0.685803 0.77012
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288 1 0.36394 0.614652 0.887625
208 1 0.424248 0.632514 0.84899
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994 1 0.661267 0.654775 0.856003
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833 1 0.361283 0.758987 0.914562
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958 1 0.352476 0.787789 0.839929
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1980 1 0.56989 0.899901 0.878571
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720 1 0.570432 0.827396 0.818493
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518 1 0.740101 0.898454 0.863518
1655 1 0.947491 0.958094 0.87869
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350 1 0.710229 0.556544 0.864791
232 1 0.910324 0.555391 0.845405
540 1 0.175337 0.605627 0.862206
1916 1 0.151714 0.598701 0.925833
1684 1 0.803294 0.751979 0.871277
126 1 0.639668 0.702558 0.89855
1677 1 0.881678 0.719676 0.894557
1408 1 0.307486 0.761081 0.847476
742 1 0.558243 0.766028 0.851746
1464 1 0.789382 0.834174 0.851302
652 1 0.823315 0.837426 0.894512
151 1 0.898372 0.919405 0.872464
1593 1 0.527987 0.863183 0.809117
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1211 1 0.786215 0.955116 0.831316
1786 1 0.820606 0.968636 0.864394
1546 1 0.233681 0.983371 0.963704
1461 1 0.853601 0.964605 0.918042
1463 1 0.829379 0.972482 0.911022
2020 1 0.397365 0.554481 0.88925
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820 1 0.623059 0.605905 0.870812
470 1 0.0327142 0.632805 0.891512
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1307 1 0.306276 0.647246 0.91204
83 1 0.458709 0.565092 0.890241
1881 1 0.0127432 0.610615 0.797739
739 1 0.0760264 0.663342 0.847768
1848 1 0.0134623 0.695049 0.954572
808 1 0.917543 0.71128 0.919465
1294 1 0.109897 0.736758 0.901414
1276 1 0.248406 0.896461 0.849114
1023 1 0.476839 0.9581 0.823612
1513 1 0.332523 0.948627 0.949421
1701 1 0.300203 0.96647 0.871541
1600 1 0.743743 0.994372 0.917654
1439 1 0.307042 0.597382 0.947194
2028 1 0.219932 0.53805 0.912856
1159 1 0.919894 0.540795 0.872312
891 1 0.255356 0.565649 0.93113
1794 1 0.525179 0.603219 0.881863
1718 1 0.654663 0.676176 0.910397
1597 1 0.795091 0.559018 0.874601
1192 1 0.794373 0.630606 0.942764
50 1 0.626171 0.711588 0.839939
1326 1 0.725461 0.75742 0.952051
1590 1 0.629653 0.704797 0.971652
1919 1 0.314022 0.744409 0.880546
1308 1 0.217642 0.873514 0.839052
278 1 0.353048 0.955503 0.93701
908 1 0.893566 0.796822 0.893433
1388 1 0.868706 0.880063 0.995658
721 1 0.507751 0.858886 0.950983
121 1 0.934755 0.916752 0.932286
1397 1 0.259445 0.982964 0.94123
1645 1 0.660764 0.982486 0.873397
3 1 0.226685 0.980804 0.634569
662 1 0.0665953 0.561587 0.940858
1605 1 0.6361 0.538315 0.965592
1659 1 0.931127 0.580543 0.960842
1453 1 0.77916 0.600097 0.941192
1529 1 0.399522 0.647001 0.94241
431 1 0.456656 0.714975 0.938164
1824 1 0.0991337 0.736353 0.956428
432 1 0.229261 0.723352 0.907316
593 1 0.693276 0.961281 0.505402
1352 1 0.857666 0.742532 0.98854
1906 1 0.00518995 0.779273 0.903756
1324 1 0.948665 0.810468 0.948649
1332 1 0.930588 0.908697 0.93126
1610 1 0.106351 0.954212 0.505796
1604 1 0.054273 0.807489 0.907762
493 1 0.2706 0.859884 0.896878
176 1 0.6646 0.8697 0.922382
457 1 0.526635 0.883227 0.946395
524 1 0.402352 0.868256 0.884304
539 1 0.371038 0.994452 0.729475
551 1 0.302322 0.560139 0.971658
392 1 0.582936 0.523972 0.925556
203 1 0.216914 0.588744 0.849559
1982 1 0.44288 0.677633 0.896833
1109 1 0.5173 0.743784 0.954469
1810 1 0.235112 0.998405 0.751846
778 1 0.188927 0.683795 0.936084
1008 1 0.347613 0.689985 0.955006
2040 1 0.966034 0.792251 0.892662
569 1 0.461158 0.717728 0.992706
343 1 0.526647 0.789048 0.94834
468 1 0.128944 0.73406 0.986802
1182 1 0.845654 0.889499 0.980332
1549 1 0.421495 0.711804 0.941104
23 1 0.356537 0.891501 0.915669
1337 1 0.402198 0.873663 0.96232
1511 1 0.908155 0.87193 0.965033
1100 1 0.362557 0.925959 0.970589
1385 1 0.307286 0.944499 0.995548
932 1 0.168194 0.917702 0.886056
1803 1 0.769452 0.898774 0.992026
1198 1 0.295469 0.549977 0.939335
1765 1 0.414518 0.503104 0.982048
980 1 0.794046 0.541512 0.587103
340 1 0.657002 0.580088 0.602782
1840 1 0.862688 0.517248 0.987344
1559 1 0.159788 0.649377 0.99622
1499 1 0.743 0.673905 0.975857
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681 1 0.986511 0.717421 0.881151
1469 1 0.22773 0.748799 0.909086
634 1 0.197844 0.704069 0.987447
1857 1 0.708035 0.896416 0.992322
445 1 0.274322 0.902551 0.965263
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1666 1 0.0529894 0.956754 0.994495
25 1 0.574896 0.94671 0.516162
1064 1 0.498917 0.950985 0.805843
515 1 0.103542 0.6638 0.969134
1370 1 0.938453 0.816945 0.926102
1815 1 0.461423 0.743886 0.507913
326 1 0.0840224 0.976811 0.661316
1609 1 0.866423 0.838337 0.992914
430 1 0.146838 0.69128 0.504505
1200 1 0.248898 0.996771 0.61887
2039 1 0.388301 0.707973 0.997852
| [
"[email protected]"
] | |
85665dbe43d1c321ad12f2506b472e4a46306b5e | ac32e4a76b519a4f9d043ebb3835ad42b9ff6a3c | /tests/tokenize/test_tokenize_json.py | 80ca3e3ae813a3479c5e0bcd38471a72225a6e8e | [
"BSD-3-Clause"
] | permissive | rubbish822/typesystem | e63286f43672aa2d860c7dffe18431e3984f7439 | fe201aecf871b3995b2d73ef647d34c1fedb36f1 | refs/heads/master | 2023-04-02T15:11:43.780011 | 2019-03-11T14:07:46 | 2019-03-11T14:07:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,167 | py | from json.decoder import JSONDecodeError
import pytest
from typesystem.tokenize.tokenize_json import tokenize_json
from typesystem.tokenize.tokens import DictToken, ListToken, ScalarToken
def test_tokenize_object():
token = tokenize_json('{"a": [1, 2, 3], "b": "test"}')
expected = DictToken(
{
ScalarToken("a", 1, 3): ListToken(
[ScalarToken(1, 7, 7), ScalarToken(2, 10, 10), ScalarToken(3, 13, 13)],
6,
14,
),
ScalarToken("b", 17, 19): ScalarToken("test", 22, 27),
},
0,
28,
)
assert repr(token) == 'DictToken(\'{"a": [1, 2, 3], "b": "test"}\')'
assert token == expected
assert token.value == {"a": [1, 2, 3], "b": "test"}
assert token.lookup(["a"]).value == [1, 2, 3]
assert token.lookup(["a"]).string == "[1, 2, 3]"
assert token.lookup(["a"]).start.line_no == 1
assert token.lookup(["a"]).start.column_no == 7
assert token.lookup_key(["a"]).value == "a"
assert token.lookup_key(["a"]).string == '"a"'
assert token.lookup_key(["a"]).start.char_index == 1
assert token.lookup_key(["a"]).end.char_index == 3
def test_tokenize_list():
token = tokenize_json("[true, false, null]")
expected = ListToken(
[ScalarToken(True, 1, 4), ScalarToken(False, 7, 11), ScalarToken(None, 14, 17)],
0,
18,
)
assert token == expected
assert token.value == [True, False, None]
assert token.lookup([0]).value is True
assert token.lookup([0]).string == "true"
assert token.lookup([0]).start.char_index == 1
assert token.lookup([0]).end.char_index == 4
def test_tokenize_floats():
token = tokenize_json("[100.0, 1.0E+2, 1E+2]")
expected = ListToken(
[
ScalarToken(100.0, 1, 5),
ScalarToken(100.0, 8, 13),
ScalarToken(100.0, 16, 19),
],
0,
20,
)
assert token == expected
assert token.value == [100.0, 1.0e2, 1e2]
assert token.lookup([0]).value == 100.0
assert token.lookup([0]).string == "100.0"
assert token.lookup([0]).start.char_index == 1
assert token.lookup([0]).end.char_index == 5
def test_tokenize_whitespace():
token = tokenize_json("{ }")
expected = DictToken({}, 0, 2)
assert token == expected
assert token.value == {}
assert token.string == "{ }"
token = tokenize_json('{ "a" : 1 }')
expected = DictToken({ScalarToken("a", 2, 4): ScalarToken(1, 9, 9)}, 0, 11)
assert token == expected
assert token.value == {"a": 1}
assert token.lookup(["a"]).value == 1
assert token.lookup(["a"]).string == "1"
assert token.lookup(["a"]).start.char_index == 9
assert token.lookup(["a"]).end.char_index == 9
assert token.lookup_key(["a"]).value == "a"
assert token.lookup_key(["a"]).string == '"a"'
assert token.lookup_key(["a"]).start.char_index == 2
assert token.lookup_key(["a"]).end.char_index == 4
def test_tokenize_parse_errors():
with pytest.raises(JSONDecodeError) as exc_info:
tokenize_json("{")
exc = exc_info.value
assert exc.msg == "Expecting property name enclosed in double quotes"
assert exc.pos == 1
with pytest.raises(JSONDecodeError) as exc_info:
tokenize_json('{"a"')
exc = exc_info.value
assert exc.msg == "Expecting ':' delimiter"
assert exc.pos == 4
with pytest.raises(JSONDecodeError) as exc_info:
tokenize_json('{"a":')
exc = exc_info.value
assert exc.msg == "Expecting value"
assert exc.pos == 5
with pytest.raises(JSONDecodeError) as exc_info:
tokenize_json('{"a":1')
exc = exc_info.value
assert exc.msg == "Expecting ',' delimiter"
assert exc.pos == 6
with pytest.raises(JSONDecodeError) as exc_info:
tokenize_json('{"a":1,1')
exc = exc_info.value
assert exc.msg == "Expecting property name enclosed in double quotes"
assert exc.pos == 7
with pytest.raises(JSONDecodeError) as exc_info:
tokenize_json('{"a":1 "b"')
exc = exc_info.value
assert exc.msg == "Expecting ',' delimiter"
assert exc.pos == 7
| [
"[email protected]"
] | |
e8eed13eedde2a1f73d5dd4d40462d475f7aef3f | a367a015dbc36287ca933955ded1ee58b5a2a61a | /swagger_client/models/fluid_consumption_rate_through_nozzle.py | 925475d390d001c905e9a980b4d6954c0d2df360 | [] | no_license | kerniee/inno_intership_1_test_task | 70211e153450011c427df595a02e3574dfe7ed9f | fc0619ef54b00806a3b59f3c07c1c1684682d65b | refs/heads/master | 2023-05-23T02:24:40.083723 | 2021-06-21T16:15:04 | 2021-06-21T16:15:04 | 365,855,831 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,525 | py | # coding: utf-8
"""
Teleagronom
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 1.1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class FluidConsumptionRateThroughNozzle(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
swagger_types = {
'id': 'int',
'nozzle_color': 'AllOfFluidConsumptionRateThroughNozzleNozzleColor',
'nozzle_pressure': 'AllOfFluidConsumptionRateThroughNozzleNozzlePressure',
'fluid_consumption_rate': 'float'
}
attribute_map = {
'id': 'id',
'nozzle_color': 'nozzle_color',
'nozzle_pressure': 'nozzle_pressure',
'fluid_consumption_rate': 'fluid_consumption_rate'
}
def __init__(self, id=None, nozzle_color=None, nozzle_pressure=None, fluid_consumption_rate=None): # noqa: E501
"""FluidConsumptionRateThroughNozzle - a model defined in Swagger""" # noqa: E501
self._id = None
self._nozzle_color = None
self._nozzle_pressure = None
self._fluid_consumption_rate = None
self.discriminator = None
self.id = id
self.nozzle_color = nozzle_color
self.nozzle_pressure = nozzle_pressure
self.fluid_consumption_rate = fluid_consumption_rate
@property
def id(self):
"""Gets the id of this FluidConsumptionRateThroughNozzle. # noqa: E501
:return: The id of this FluidConsumptionRateThroughNozzle. # noqa: E501
:rtype: int
"""
return self._id
@id.setter
def id(self, id):
"""Sets the id of this FluidConsumptionRateThroughNozzle.
:param id: The id of this FluidConsumptionRateThroughNozzle. # noqa: E501
:type: int
"""
if id is None:
raise ValueError("Invalid value for `id`, must not be `None`") # noqa: E501
self._id = id
@property
def nozzle_color(self):
"""Gets the nozzle_color of this FluidConsumptionRateThroughNozzle. # noqa: E501
:return: The nozzle_color of this FluidConsumptionRateThroughNozzle. # noqa: E501
:rtype: AllOfFluidConsumptionRateThroughNozzleNozzleColor
"""
return self._nozzle_color
@nozzle_color.setter
def nozzle_color(self, nozzle_color):
"""Sets the nozzle_color of this FluidConsumptionRateThroughNozzle.
:param nozzle_color: The nozzle_color of this FluidConsumptionRateThroughNozzle. # noqa: E501
:type: AllOfFluidConsumptionRateThroughNozzleNozzleColor
"""
if nozzle_color is None:
raise ValueError("Invalid value for `nozzle_color`, must not be `None`") # noqa: E501
self._nozzle_color = nozzle_color
@property
def nozzle_pressure(self):
"""Gets the nozzle_pressure of this FluidConsumptionRateThroughNozzle. # noqa: E501
:return: The nozzle_pressure of this FluidConsumptionRateThroughNozzle. # noqa: E501
:rtype: AllOfFluidConsumptionRateThroughNozzleNozzlePressure
"""
return self._nozzle_pressure
@nozzle_pressure.setter
def nozzle_pressure(self, nozzle_pressure):
"""Sets the nozzle_pressure of this FluidConsumptionRateThroughNozzle.
:param nozzle_pressure: The nozzle_pressure of this FluidConsumptionRateThroughNozzle. # noqa: E501
:type: AllOfFluidConsumptionRateThroughNozzleNozzlePressure
"""
if nozzle_pressure is None:
raise ValueError("Invalid value for `nozzle_pressure`, must not be `None`") # noqa: E501
self._nozzle_pressure = nozzle_pressure
@property
def fluid_consumption_rate(self):
"""Gets the fluid_consumption_rate of this FluidConsumptionRateThroughNozzle. # noqa: E501
:return: The fluid_consumption_rate of this FluidConsumptionRateThroughNozzle. # noqa: E501
:rtype: float
"""
return self._fluid_consumption_rate
@fluid_consumption_rate.setter
def fluid_consumption_rate(self, fluid_consumption_rate):
"""Sets the fluid_consumption_rate of this FluidConsumptionRateThroughNozzle.
:param fluid_consumption_rate: The fluid_consumption_rate of this FluidConsumptionRateThroughNozzle. # noqa: E501
:type: float
"""
if fluid_consumption_rate is None:
raise ValueError("Invalid value for `fluid_consumption_rate`, must not be `None`") # noqa: E501
self._fluid_consumption_rate = fluid_consumption_rate
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
if issubclass(FluidConsumptionRateThroughNozzle, dict):
for key, value in self.items():
result[key] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, FluidConsumptionRateThroughNozzle):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
| [
"[email protected]"
] | |
7ab87edf7fb834a8eaaf7973e70732fa4778a974 | 9dd33333caebc0b6f516ededa9aeebe707476852 | /qc/qc/middlewares.py | 78bd401ea4445eed71a7954552fa2c3aba118b7f | [] | no_license | zx490336534/spider-review | 4ef0cebd9d92bce0a42f4aeef5b03ae9695c2364 | c7a3cdf7abc74732c556bc4b8c9928a20e7c4c78 | refs/heads/master | 2020-04-09T02:20:26.533103 | 2018-12-03T15:04:15 | 2018-12-03T15:04:15 | 159,937,120 | 13 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,150 | py | # -*- coding: utf-8 -*-
# Define here the models for your spider middleware
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/spider-middleware.html
import random
import redis
import hashlib
from scrapy import signals
from scrapy.exceptions import IgnoreRequest
from qc.settings import USER_AGENT as ua_list
class QcSpiderMiddleware(object):
"""
给每一个请求随机切换一个User-Agent
"""
def process_request(self, request, spider):
user_agent = random.choice(ua_list)
request.headers['User-Agent'] = user_agent
class QcRedisMiddleware(object):
"""
把每一个URL放到redis.set中，防止重复爬取
"""
def __init__(self):
self.sr = redis.StrictRedis(host='localhost', port=6379, db=1)
def process_request(self, request, spider):
if request.url.startswith('https://jobs.51job.com/'):
# MD5压缩详情页链接(必须是bytes类型数据)
url_md5 = hashlib.md5(request.url.encode()).hexdigest()
result = self.sr.sadd('qc_url', url_md5)
if not result:
raise IgnoreRequest
| [
"[email protected]"
] | |
a1be92f9773850b2fb15a33da32c81a191883f7c | 2c8c415c1b386eb7e168a7cb17d55a73ab08ac36 | /UrlHandler/migrations/0001_initial.py | a28550bdde5c621735367268f25788211c6fe269 | [
"MIT"
] | permissive | TanimSk/Help-The-Helpless | 888b72b3faca9d307f5a0e41c05424050bc2c423 | bdf6ad2c1d873831cb80f09cb62e068cba43e203 | refs/heads/main | 2023-02-02T13:37:27.407966 | 2020-12-23T07:25:22 | 2020-12-23T07:25:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 583 | py | # Generated by Django 3.1.4 on 2020-12-23 06:42
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='UrlLinks',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('facebook_url', models.URLField()),
('youtube_url', models.URLField()),
('gmail_url', models.URLField()),
],
),
]
| [
"[email protected]"
] | |
c85721734e624cc87ceb5ad6f0d8bd65975de78a | c1e87e9a7f0f2e81e3113821c21378f7b6436b6f | /Щелчок/24/24_52.py | 69e3935c47b9be84d6bb1164ad23e1c9dffd7548 | [] | no_license | Pochemu/Activity | 8e2a7ec4f6b7fd233c0ee48e893733b077aac7a4 | 1b21e674635ff95104e18e93241c30020032e26a | refs/heads/main | 2023-07-09T04:04:06.337321 | 2021-07-06T21:38:26 | 2021-07-06T21:38:26 | 337,492,398 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 237 | py | f = open('shkolkovo_2.txt')
cnt = 0
cnt_max = 0
for s in f:
if s.count('A') < 25:
for i in range(ord('A'), ord('Z')+1):
cnt = s.rindex(chr(i)) - s.index(chr(i))
cnt_max = max(cnt, cnt_max)
print(cnt_max) | [
"[email protected]"
] | |
7916f1c0dcf1066cc49205d234ec76a5db1cf997 | 4e30c855c253cc1d972d29e83edb9d5ef662d30a | /daybook/forms.py | 78fc660f041185c9829b162003142e5d49f5e0cc | [
"MIT"
] | permissive | rajeshr188/django-onex | 8b531fc2f519d004d1da64f87b10ffacbd0f2719 | 0a190ca9bcf96cf44f7773686205f2c1f83f3769 | refs/heads/master | 2023-08-21T22:36:43.898564 | 2023-08-15T12:08:24 | 2023-08-15T12:08:24 | 163,012,755 | 2 | 0 | NOASSERTION | 2023-07-22T09:47:28 | 2018-12-24T17:46:35 | Python | UTF-8 | Python | false | false | 168 | py | from django import forms
from django.contrib.admin.widgets import AdminDateWidget
class daybookform(forms.Form):
date = forms.DateField(widget=AdminDateWidget())
| [
"[email protected]"
] | |
d16b1b41a1fb590da1c4bb249c860c9a341c9b6b | 830465731dfda87b4141546262f20d74c29297bf | /CRYPTO/BambooFox/AttackOnHash/secret.py | d3cf7e8f7cd06fa222aa2906c4912017de846386 | [] | no_license | jchen8tw-research/CTF | f559d7ca0e16a730335b11caeeae208c42e8bf17 | f49615c24437a9cc6a2c20d6b30cb5abf7a32b71 | refs/heads/master | 2023-03-17T12:29:08.630613 | 2021-03-23T06:31:26 | 2021-03-23T06:31:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 30 | py | flag = 'FAKE'
salt = 'a' * 40
| [
"[email protected]"
] | |
f20c8a872358b9fb3614dae96f4a639ff2d38ed1 | 9b20743ec6cd28d749a4323dcbadb1a0cffb281b | /13_Deep_Learning_with_Python/13/decay_drop_based.py | 7a7df9ff76b941850db37b74bf66d0353ae9cb4f | [] | no_license | jggrimesdc-zz/MachineLearningExercises | 6e1c7e1f95399e69bba95cdfe17c4f8d8c90d178 | ee265f1c6029c91daff172b3e7c1a96177646bc5 | refs/heads/master | 2023-03-07T19:30:26.691659 | 2021-02-19T08:00:49 | 2021-02-19T08:00:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,252 | py | # Drop-Based Learning Rate Decay
import math
from keras.callbacks import LearningRateScheduler
from keras.layers import Dense
from keras.models import Sequential
from keras.optimizers import SGD
from pandas import read_csv
from sklearn.preprocessing import LabelEncoder
# learning rate schedule
def step_decay(epoch):
initial_lrate = 0.1
drop = 0.5
epochs_drop = 10.0
lrate = initial_lrate * math.pow(drop, math.floor((1 + epoch) / epochs_drop))
return lrate
# load dataset
dataframe = read_csv("ionosphere.csv", header=None)
dataset = dataframe.values
# split into input (X) and output (Y) variables
X = dataset[:, 0:34].astype(float)
Y = dataset[:, 34]
# encode class values as integers
encoder = LabelEncoder()
encoder.fit(Y)
Y = encoder.transform(Y)
# create model
model = Sequential()
model.add(Dense(34, input_dim=34, activation='relu'))
model.add(Dense(1, activation='sigmoid'))
# Compile model
sgd = SGD(lr=0.0, momentum=0.9)
model.compile(loss='binary_crossentropy', optimizer=sgd, metrics=['accuracy'])
# learning schedule callback
lrate = LearningRateScheduler(step_decay)
callbacks_list = [lrate]
# Fit the model
model.fit(X, Y, validation_split=0.33, epochs=50, batch_size=28, callbacks=callbacks_list, verbose=2)
| [
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] | |
7b703bc2896e3cd0f8b426c39ecbb5420161c927 | d17a8870ff8ac77b82d0d37e20c85b23aa29ca74 | /lite/tests/unittest_py/op/backends/host/test_relu6_op.py | e47927da98e69c262b7712e29005b73d40fe45f7 | [
"Apache-2.0"
] | permissive | PaddlePaddle/Paddle-Lite | 4ab49144073451d38da6f085a8c56822caecd5b2 | e241420f813bd91f5164f0d9ee0bc44166c0a172 | refs/heads/develop | 2023-09-02T05:28:14.017104 | 2023-09-01T10:32:39 | 2023-09-01T10:32:39 | 104,208,128 | 2,545 | 1,041 | Apache-2.0 | 2023-09-12T06:46:10 | 2017-09-20T11:41:42 | C++ | UTF-8 | Python | false | false | 1,680 | py | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import sys
sys.path.append('../../common')
sys.path.append('../../../')
import test_relu6_op_base
from auto_scan_test import AutoScanTest, IgnoreReasons
from program_config import TensorConfig, ProgramConfig, OpConfig, CxxConfig, TargetType, PrecisionType, DataLayoutType, Place
import unittest
import hypothesis
from hypothesis import given, settings, seed, example, assume
import hypothesis.strategies as st
class TestRelu6Op(AutoScanTest):
def is_program_valid(self, program_config: ProgramConfig) -> bool:
return True
def sample_program_configs(self, draw):
return test_relu6_op_base.sample_program_configs(draw)
def sample_predictor_configs(self):
config = CxxConfig()
config.set_valid_places(
{Place(TargetType.Host, PrecisionType.FP32, DataLayoutType.NCHW)})
yield config, ["relu6"], (1e-5, 1e-5)
def add_ignore_pass_case(self):
pass
def test(self, *args, **kwargs):
self.run_and_statis(quant=False, max_examples=25)
if __name__ == "__main__":
unittest.main()
| [
"[email protected]"
] | |
c96ebeab3ec93603bfbe70fbec041ad533547e03 | e0980f704a573894350e285f66f4cf390837238e | /.history/news/models_20201125123239.py | 55e05516581b090c070f2f6ce249d636eccf8f32 | [] | no_license | rucpata/WagtailWebsite | 28008474ec779d12ef43bceb61827168274a8b61 | 5aa44f51592f49c9a708fc5515ad877c6a29dfd9 | refs/heads/main | 2023-02-09T15:30:02.133415 | 2021-01-05T14:55:45 | 2021-01-05T14:55:45 | 303,961,094 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,782 | py | from django.db import models
from modelcluster.models import ParentalKey
from wagtail.contrib.forms.models import AbstractEmailForm, AbstractFormField
from wagtail.admin.edit_handlers import FieldPanel, InlinePanel
from wagtail.images.edit_handlers import ImageChooserPanel
from wagtail.core.fields import RichTextField
# Create your models here.
class CustomAbstractFormField(AbstractFormField):
field_type = models.CharField(
vebose_name= 'Field Type',
max_
)
class FormField(AbstractFormField):
page = ParentalKey(
'NewsPage',
on_delete=models.CASCADE,
related_name='form_fields',
)
class NewsPage(AbstractEmailForm):
tempalte ='news/news_page.html'
leanding_page_template = 'news/news_page_leading.html'
subpage_types = []
max_coun = 1
intro = RichTextField(blank=True, features=['bold', 'italic', 'ol', 'ul'])
thank_you_text = RichTextField(
blank=True,
features=['bold', 'italic', 'ol', 'ul'])
map_image = models.ForeignKey(
'wagtailimages.Image',
null=True,
blank=False,
on_delete=models.SET_NULL,
help_text='Obrazek będzie przycięty do rozmairu 588px na 355 px',
related_name='+',
)
map_url = models.URLField(
blank=True,
help_text='Opcjonalne. Jeśli podasz tutaj łączę, obraz stanie się łączem.'
)
content_panels = AbstractEmailForm.content_panels + [
FieldPanel('intro'),
ImageChooserPanel('map_image'),
FieldPanel('map_url'),
InlinePanel('form_fields', label="Form Fields"),
FieldPanel('thank_you_text'),
FieldPanel('from_address'),
FieldPanel('to_address'),
FieldPanel('subject'),
]
| [
"[email protected]"
] | |
99b8d312c2b0f1dd950dc13681e497b85cb2db8b | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/303/usersdata/305/78885/submittedfiles/testes.py | c9fd898511eec6ab3f5fd5d3e4799a1e4e204ad4 | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 142 | py | # -*- coding: utf-8 -*-
import math
#COMECE A PARTIR DAQUI!
h = float(input('digite o valor de : '))
P = ((72.7*h) - 58)
print('%.2f' %P) | [
"[email protected]"
] | |
5d83e9f566fba4eac5dbe32b32a2a952e9f7359a | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_049/ch71_2019_06_07_01_05_04_054986.py | 288d8e6e8a79edcd51e9bbbaa024bd8e1f5605da | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 81 | py | def esconde_senha(string):
senha_nova="*" * len(string)
return senha_nova | [
"[email protected]"
] | |
96494d65b735f2b56baa0d19449ddb69bcacc03f | f03bd5bd7873c5cc33b4ef5199f219539f3a340e | /CAAPR/CAAPR_AstroMagic/PTS/pts/core/plot/scatter.py | 9fe0c5fd106f27cc39c302f413694a7e00a06ed3 | [
"MIT",
"GPL-1.0-or-later",
"AGPL-3.0-only",
"AGPL-3.0-or-later",
"LicenseRef-scancode-other-copyleft",
"LicenseRef-scancode-philippe-de-muyter"
] | permissive | Stargrazer82301/CAAPR | 5f8a7033b16792f23abd5d07021b53b9228a5db4 | 62b2339beb2eb956565e1605d44d92f934361ad7 | refs/heads/master | 2022-08-29T02:53:33.658022 | 2022-08-05T19:06:46 | 2022-08-05T19:06:46 | 49,977,601 | 8 | 1 | MIT | 2022-08-05T19:06:47 | 2016-01-19T19:32:42 | Python | UTF-8 | Python | false | false | 10,466 | py | #!/usr/bin/env python
# -*- coding: utf8 -*-
# *****************************************************************
# ** PTS -- Python Toolkit for working with SKIRT **
# ** © Astronomical Observatory, Ghent University **
# *****************************************************************
## \package pts.modeling.plotting.scatter Contains the ScatterPlotter class.
# -----------------------------------------------------------------
# Ensure Python 3 compatibility
from __future__ import absolute_import, division, print_function
# Import standard modules
from collections import OrderedDict
from textwrap import wrap
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from scipy.stats import gaussian_kde
# Import the relevant PTS classes and modules
from ..tools.logging import log
# -----------------------------------------------------------------
line_styles = ['-', '--', '-.', ':']
filled_markers = ['o', 'v', '^', '<', '>', '8', 's', 'p', '*', 'h', 'H', 'D', 'd']
pretty_colors = ["dodgerblue", "r", "purple", "darkorange", "lawngreen", "yellow", "darkblue", "teal", "darkgreen", "lightcoral", "crimson", "saddlebrown"]
# -----------------------------------------------------------------
class ScatterPlotter(object):
"""
This class ...
"""
def __init__(self, title=None, data=None):
"""
This function ...
:return:
"""
# Set the title
self.title = title
if data is None:
self.x = []
self.y = []
self.z = []
else:
self.x = data[0]
self.y = data[1]
self.z = data[2]
# The axes labels
self.x_label = None
self.y_label = None
self.z_label = None
# The axes limits
self.x_limits = [None, None]
self.y_limits = [None, None]
self.z_limits = [None, None]
# Store the figure and its axes as references
self._figure = None
# Properties
self.color_map = "viridis"
self.format = None
self.transparent = False
self.density = True
# -----------------------------------------------------------------
def set_title(self, title):
"""
This function ...
:param title:
:return:
"""
self.title = title
# -----------------------------------------------------------------
def add_point(self, x, y, z):
"""
This function ...
:param x:
:param y:
:param z:
:return:
"""
self.x.append(x)
self.y.append(y)
self.z.append(z)
# -----------------------------------------------------------------
def set_x_limits(self, x_min, x_max):
"""
This function ...
:param x_min:
:param x_max:
:return:
"""
self.x_limits[0] = x_min
self.x_limits[1] = x_max
# -----------------------------------------------------------------
def set_y_limits(self, y_min, y_max):
"""
This function ...
:param y_min:
:param y_max:
:return:
"""
self.y_limits[0] = y_min
self.y_limits[1] = y_max
# -----------------------------------------------------------------
def set_z_limits(self, z_min, z_max):
"""
This function ...
:param z_min:
:param z_max:
:return:
"""
self.z_limits[0] = z_min
self.z_limits[1] = z_max
# -----------------------------------------------------------------
def set_x_label(self, label):
"""
This function ...
:param label:
:return:
"""
self.x_label = label
# -----------------------------------------------------------------
def set_y_label(self, label):
"""
This function ...
:param label:
:return:
"""
self.y_label = label
# -----------------------------------------------------------------
def set_z_label(self, label):
"""
This function ...
:param label:
:return:
"""
self.z_label = label
# -----------------------------------------------------------------
def run(self, output_path):
"""
This function ...
:param output_path:
:return:
"""
# Make the plot
if self.density: self.plot_with_density(output_path)
else: self.plot_simple(output_path)
# -----------------------------------------------------------------
def clear(self):
"""
This function clears everything
:return:
"""
# Inform the user
log.info("Clearing the scatter plotter ...")
# -----------------------------------------------------------------
def clear_figure(self):
"""
This function ...
:return:
"""
# Inform the user
log.info("Clearing the scatter plotter figure ...")
# The axes labels
self.x_label = None
self.y_label = None
self.z_label = None
# The axes limits
self.x_limits = [None, None]
self.y_limits = [None, None]
self.z_limits = [None, None]
# Store the figure and its axes as references
self._figure = None
# Properties
self.color_map = "viridis"
self.format = None
self.transparent = False
self.density = True
# -----------------------------------------------------------------
def plot_simple(self, path):
"""
This function ...
:param path:
:return:
"""
# Inform the user
log.info("Making the scatter plot ...")
# Create the figure
self._figure = plt.figure(figsize=(10, 10))
# Add first subplot
ax = self._figure.add_subplot(1, 1, 1, projection='3d')
ax.scatter(self.x, self.y, self.z)
ax.set_xlim(self.x_limits)
ax.set_ylim(self.y_limits)
ax.set_zlim(self.z_limits)
ax.set_xlabel(self.x_label)
ax.set_ylabel(self.y_label)
ax.set_zlabel(self.z_label)
# Set the title
if self.title is not None: plt.suptitle("\n".join(wrap(self.title, 60)))
plt.tight_layout()
# Debugging
if type(path).__name__ == "BytesIO": log.debug("Saving the scatter plot to a buffer ...")
else: log.debug("Saving the scatter plot to " + str(path) + " ...")
# Save the figure
plt.savefig(path, bbox_inches='tight', pad_inches=0.25, format=self.format, transparent=self.transparent)
plt.close()
# -----------------------------------------------------------------
def plot_with_density(self, path):
"""
This function ...
:param path:
:return:
"""
# Inform the user
log.info("Making the scatter plot ...")
# Create the figure
self._figure = plt.figure(figsize=(15, 15))
# Add first subplot
ax = self._figure.add_subplot(2, 2, 1, projection='3d')
ax.scatter(self.x, self.y, self.z)
ax.set_xlim(self.x_limits)
ax.set_ylim(self.y_limits)
ax.set_zlim(self.z_limits)
ax.set_xlabel(self.x_label)
ax.set_ylabel(self.y_label)
ax.set_zlabel(self.z_label)
# To draw projected points against the axis planes:
# ax.plot(self.x, self.z, 'r+', zdir='y', zs=self.y_limits[1])
# ax.plot(self.y, self.z, 'g+', zdir='x', zs=self.x_limits[0])
# ax.plot(self.x, self.y, 'k+', zdir='z', zs=self.z_limits[0)
# Add second subplot
ax = self._figure.add_subplot(2, 2, 2)
# Density plot of FUV young vs. FUV ionizing
if len(self.x) > 4:
x = np.array(self.x)
y = np.array(self.y)
xy = np.vstack([x, y])
z = gaussian_kde(xy)(xy)
# Sort the points by density, so that the densest points are plotted last
idx = z.argsort()
x, y, z = x[idx], y[idx], z[idx]
ax.scatter(x, y, c=z, s=100, edgecolor='', cmap=self.color_map)
else: ax.scatter([],[])
ax.set_xlabel(self.x_label)
ax.set_ylabel(self.y_label)
ax.set_xlim(self.x_limits)
ax.set_ylim(self.y_limits)
# Add third subplot
ax = self._figure.add_subplot(2, 2, 3)
# Density plot of FUV young vs. dust mass
if len(self.x) > 4:
x = np.array(self.x)
y = np.array(self.z)
xy = np.vstack([x, y])
z = gaussian_kde(xy)(xy)
# Sort the points by density, so that the densest points are plotted last
idx = z.argsort()
x, y, z = x[idx], y[idx], z[idx]
ax.scatter(x, y, c=z, s=100, edgecolor='', cmap=self.color_map)
else: ax.scatter([],[])
ax.set_xlabel(self.x_label)
ax.set_ylabel(self.z_label)
ax.set_xlim(self.x_limits)
ax.set_ylim(self.z_limits)
# Add fourth subplot
ax = self._figure.add_subplot(2, 2, 4)
# Density plot of FUV ionizing vs. dust mass
if len(self.x) > 4:
x = np.array(self.y)
y = np.array(self.z)
xy = np.vstack([x, y])
z = gaussian_kde(xy)(xy)
# Sort the points by density, so that the densest points are plotted last
idx = z.argsort()
x, y, z = x[idx], y[idx], z[idx]
ax.scatter(x, y, c=z, s=100, edgecolor='', cmap=self.color_map)
else: ax.scatter([],[])
ax.set_xlabel(self.y_label)
ax.set_ylabel(self.z_label)
ax.set_xlim(self.y_limits)
ax.set_ylim(self.z_limits)
# Set the title
if self.title is not None: plt.suptitle("\n".join(wrap(self.title, 60)))
plt.tight_layout()
# Debugging
if type(path).__name__ == "BytesIO": log.debug("Saving the scatter plot to a buffer ...")
else: log.debug("Saving the scatter plot to " + str(path) + " ...")
# Save the figure
plt.savefig(path, bbox_inches='tight', pad_inches=0.25, format=self.format, transparent=self.transparent)
plt.close()
# -----------------------------------------------------------------
| [
"[email protected]"
] | |
82037c643ef27e2ed8ebad5f7e521367051eb0fd | cc382cc8fc521c3427f582adedc1ff7b93a754de | /Python/Quiz/P_sum.py | 2797c7c578f859d95f4094f7d758468e6d29fb69 | [] | no_license | jbro321/Python | c33e899145ea47db41038fcc117789ce821c4131 | 36854890aefd0384567b05600cbb849094cd9f91 | refs/heads/main | 2023-06-05T19:53:40.144922 | 2021-06-24T13:29:24 | 2021-06-24T13:29:24 | 331,165,120 | 2 | 3 | null | 2021-04-05T03:46:58 | 2021-01-20T02:06:00 | Python | UTF-8 | Python | false | false | 755 | py | # 문제
# ***a,b,c,d 변수 4개를 초기 입력으로 받는다
# *** 출력문 작성 시 a+b를 직접 사용해서 합을 출력하지 않는다.
# *** 아래 출력을 그대로 출력한다. 대신 []안에 내용은 출력하지 않아도 된다.
# *** 수1 + 수2 = 합 문장을 출력하면 된다.
# 출력
# --------------------
# a[입력받은 값] + b[입력받은값] = 합
# c[입력받은 값] + d[입력받은값] = 합
#1
from datetime import datetime
now = datetime.now()
print(now)
import sys
a = list(map(int, sys.stdin.readline().split()))
# a, b, c, d = map(int, input().split())
print("{} + {} = {}".format(a[0], a[1], sum(a[:2])))
print("{} + {} = {}".format(a[2], a[3], sum(a[2:])))
now = datetime.now()
print(now) | [
"[email protected]"
] | |
d80ec6633dabfba7c9a1e14b38c97b6429cd2a70 | c9ddbdb5678ba6e1c5c7e64adf2802ca16df778c | /cases/pa2/sample/stmt_list_assign-28.py | c3f3f4a22b92fb70cf62afd2003cfb3858329b4a | [] | no_license | Virtlink/ccbench-chocopy | c3f7f6af6349aff6503196f727ef89f210a1eac8 | c7efae43bf32696ee2b2ee781bdfe4f7730dec3f | refs/heads/main | 2023-04-07T15:07:12.464038 | 2022-02-03T15:42:39 | 2022-02-03T15:42:39 | 451,969,776 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 88 | py | x:[int] = None
y:[object] = None
x = [$Literal, 2]
y = [None]
x[0] = 3
x[1] = y[0] = 4
| [
"[email protected]"
] | |
0f4e7e981575a48924e04e71394b1f46bc2b670b | 2e643989fad07bb54b75e178998bb1546540317a | /securetea/lib/auto_server_patcher/patcher.py | 9181df1b1a141221e9970c3cb444903c1c5dc750 | [
"MIT"
] | permissive | fijimunkii/SecureTea-Project | 4fa89c3a28120cc4dbdd4fc6adac204a3c1ae99a | e3752e358d9837ed4677984e1b29a2dd3818dfe6 | refs/heads/master | 2020-06-23T00:19:49.464335 | 2019-07-23T09:12:51 | 2019-07-23T09:12:51 | 198,443,213 | 1 | 0 | MIT | 2019-07-23T14:05:36 | 2019-07-23T14:05:35 | null | UTF-8 | Python | false | false | 7,457 | py | # -*- coding: utf-8 -*-
u"""Patcher for SecureTea Auto Server Patcher
Project:
╔═╗┌─┐┌─┐┬ ┬┬─┐┌─┐╔╦╗┌─┐┌─┐
╚═╗├┤ │ │ │├┬┘├┤ ║ ├┤ ├─┤
╚═╝└─┘└─┘└─┘┴└─└─┘ ╩ └─┘┴ ┴
Author: Abhishek Sharma <[email protected]> , Jun 20 2019
Version: 1.4
Module: SecureTea
"""
import json
from securetea.lib.auto_server_patcher.patch_logger import PatchLogger
from securetea.lib.auto_server_patcher import utils
class ConfigPatcher(object):
"""ConfigPatcher class."""
def __init__(self, debug=False, to_patch=None):
"""
Initialize ConfigPatcher.
Args:
debug (bool): Log on terminal or not
Raises:
None
Returns:
None
"""
# Initialize logger
self.logger = PatchLogger(
__name__,
debug=debug
)
# Configuration file path
self._CONFIG_PATH = "securetea/lib/auto_server_patcher/configs/config.json"
# Load configuration
self.config_data = self.open_json(self._CONFIG_PATH)
# Categorize OS
os_name = utils.categorize_os()
if os_name:
try:
self.os_config_data = self.config_data[os_name] # if OS in configuration
except KeyError:
self.logger.log(
"Could not load OS specific configuration.",
logtype="error"
)
else:
self.logger.log(
"Operating system cannot be determined.",
logtype="error"
)
sys.exit(0)
# List of files to patch
if to_patch:
self.to_patch = to_patch
else:
self.to_patch = []
def open_file(self, path):
"""
Open the file and return the data as list.
Args:
path (str): Path of the file
Raises:
None
Returns:
None
"""
try:
with open(path, "r") as f:
return f.readlines()
except Exception as e:
self.logger.log(
"Error occured: " + str(e),
logtype="error"
)
def open_json(self, path):
"""
Open the JSON file and return the data as dict.
Args:
path (str): Path of the file
Raises:
None
Returns:
None
"""
try:
with open(path, "r") as json_data_file:
data = json.load(json_data_file)
return data
except Exception as e:
self.logger.log(
"Error occured: " + str(e),
logtype="error"
)
def write_data(self, path, data):
"""
Write the data into the file.
Args:
path (str): Path of the file
data (list): List of data to write
Raises:
None
Returns:
None
"""
try:
with open(path, "w") as wf:
for line in data:
wf.write(line + "\n")
except Exception as e:
self.logger.log(
"Error occured: " + str(e),
logtype="error"
)
def patch(self):
"""
Patch the configuration file based
on the configuration data stored.
Args:
None
Raises:
None
Returns:
None
"""
for path in self.os_config_data: # iterate over the configuration
patch_this = False # patch this file or not
for req_patch in self.to_patch:
if req_patch in path:
patch_this = True
if patch_this:
self.logger.log(
"Patching: " + str(path),
logtype="info"
)
file_data = self.open_file(path) # open the file to configure
new_data = [] # new data to over-write
config_added = [] # successfully configured parameters
config_not_added = [] # not configured parameters
sep = self.os_config_data[path]["sep"] # separator
for index, line in enumerate(file_data):
flag = 0 # write the original line
for rep_text in self.os_config_data[path]["config"].keys():
hold = False # forward refrencing not needed
in_front = False # not found in forward refrence
if rep_text in line:
if line.strip(" ").strip("\n").startswith("#"): # found comment
hold = True # hold, prepare for forward refrence
if hold: # if forward refrence is needed
for _, nf_line in enumerate(file_data, start=index+1):
if (rep_text in nf_line and
not nf_line.strip(" ").strip("\n").startswith("#")):
in_front = True # found in forward refrencing
if not in_front: # not in forward refrencing
self.logger.log(
"Old config line: " + line.strip("\n"),
logtype="info"
)
new_config_line = rep_text + sep + \
self.os_config_data[path]["config"][rep_text]
new_data.append(new_config_line)
config_added.append(rep_text)
flag = 1 # write the new line
self.logger.log(
"New config line: " + new_config_line,
logtype="info"
)
if flag == 0: # write the original line
new_data.append(line.strip(" ").strip("\n"))
elif flag == 1: # already written
flag = 0 # reset flag
# Look which parameters were not over-written
# as they were not found in the config file
for rep_text in self.os_config_data[path]["config"].keys():
if rep_text not in config_added:
new_config_line = rep_text + sep + \
self.os_config_data[path]["config"][rep_text]
config_not_added.append(new_config_line)
# Extend the new configuration
new_data.extend(config_not_added)
# Write the data (overwrite) the config file
self.write_data(path=path, data=new_data)
self.logger.log(
"Patched: " + str(path),
logtype="info"
)
# Empty the list for the next configuration file
new_data.clear()
config_added.clear()
config_not_added.clear()
| [
"[email protected]"
] | |
77b5f4f0d26d396c24550978a83d7223fbf2497e | a3d6556180e74af7b555f8d47d3fea55b94bcbda | /third_party/wpt_tools/wpt/tools/manifest/__init__.py | 8c8f189070eaa3201bf0d8e7a37618cf39a65743 | [
"BSD-3-Clause",
"GPL-1.0-or-later",
"MIT",
"LGPL-2.0-or-later",
"Apache-2.0"
] | permissive | chromium/chromium | aaa9eda10115b50b0616d2f1aed5ef35d1d779d6 | a401d6cf4f7bf0e2d2e964c512ebb923c3d8832c | refs/heads/main | 2023-08-24T00:35:12.585945 | 2023-08-23T22:01:11 | 2023-08-23T22:01:11 | 120,360,765 | 17,408 | 7,102 | BSD-3-Clause | 2023-09-10T23:44:27 | 2018-02-05T20:55:32 | null | UTF-8 | Python | false | false | 63 | py | from . import item, manifest, sourcefile, update # noqa: F401
| [
"[email protected]"
] | |
d6a216950d956f0368d07afdb48bf084b58ff7e5 | 8e3a3c845ca3320483b233e8a0db4081aa3b8664 | /clases/migrations/0007_contadorpreguntas.py | 4a29e06d54f68db53637390cbb6553b607a32b13 | [] | no_license | sofide/loiprocesos | 7d56398395e6f3302f4d9ec3627ed1b4c24bc17a | 4047fa02d0cfbcf744c80d59e3402215f8b294d3 | refs/heads/master | 2021-07-08T03:26:55.171459 | 2020-08-04T03:23:10 | 2020-08-04T03:23:10 | 61,167,908 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,089 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-06-24 02:12
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('clases', '0006_auto_20160623_0041'),
]
operations = [
migrations.CreateModel(
name='ContadorPreguntas',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('cantidad', models.IntegerField()),
('primero', models.BooleanField(default=False)),
('ultimo', models.BooleanField(default=False)),
('clase', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='clases.Clase')),
('exposicion', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='clases.Exposicion')),
('preguntador', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='clases.Grupo')),
],
),
]
| [
"[email protected]"
] | |
0ae9d9691f12345ae7d85bd3246ba0ddd6639a08 | d525935af3c80584fb2175623591a1fc86349db5 | /Problems/Arithmetic mean/tests.py | 381339f215755dd7874bf71a568020d119169d2b | [] | no_license | TonyNewbie/CoffeeMachine | 63822ffdec8570166ebf44c0ffe51bfa14d33810 | 319c41189ede6a2e6e33bd15ae675101c3377b62 | refs/heads/master | 2022-04-22T13:23:47.904126 | 2020-04-26T07:25:44 | 2020-04-26T07:25:44 | 258,960,677 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 116 | py | from test_helper import check_samples
if __name__ == '__main__':
check_samples(samples=[["10 15 1 6 3","7.0"]]) | [
"[email protected]"
] | |
ede826fd675c4a60c307a3e7000c07f5f2902746 | 12f83344cdfe561db39ad9106dbf263ccd919f7e | /Projects/miami_metro/platformdatafetcher/producturlsextractor.py | 544ed8554122d5443bb722cf9841e792d34c5f67 | [] | no_license | TopWebGhost/Angular-Influencer | ebcd28f83a77a92d240c41f11d82927b98bcea9e | 2f15c4ddd8bbb112c407d222ae48746b626c674f | refs/heads/master | 2021-01-19T10:45:47.039673 | 2016-12-05T01:59:26 | 2016-12-05T01:59:26 | 82,214,998 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,071 | py | import logging
import time
import baker
from celery.decorators import task
import requests
import lxml.html
from django.conf import settings
from selenium.webdriver.support.ui import WebDriverWait
from xpathscraper import utils
from xpathscraper import xbrowser
log = logging.getLogger('platformdatafetcher.producturlsextractor')
class ProductUrlsExtractor(object):
supported_domains = []
def extract_product_urls(self, url):
raise NotImplementedError()
class LiketkExtractor(ProductUrlsExtractor):
supported_domains = ['liketoknow.it', 'liketk.it']
def extract_product_urls(self, url):
try:
with xbrowser.XBrowser(headless_display=settings.AUTOCREATE_HEADLESS_DISPLAY) as xb:
xb.load_url(url)
anchors = WebDriverWait(xb.driver, 10).until(
lambda _: xb.els_by_xpath('//div[@class="hoverflow"]//a')
)
anchors = [a for a in anchors if a.get_attribute('href') and \
utils.domain_from_url(a.get_attribute('href')) == 'rstyle.me']
urls = utils.unique_sameorder(a.get_attribute('href') for a in anchors)
return urls
except Exception as e:
log.exception(e, extra={'url': url})
return None
CLASSES = [
LiketkExtractor,
]
ALL_SUPPORTED_DOMAINS = {dom for cls in CLASSES for dom in cls.supported_domains}
@baker.command
def do_extract_product_urls(url):
domain = utils.domain_from_url(url)
matching_classes = [cls for cls in CLASSES if domain in cls.supported_domains]
res = []
for cls in matching_classes:
e = cls()
e_res = e.extract_product_urls(url)
log.info('%r extracted product urls: %r', e, e_res)
res += e_res
res = utils.unique_sameorder(res)
log.info('All product urls extracted from %r: %r', url, res)
return res
def get_blog_url_from_liketoknowit(liketoknowit_url=None, xb=None):
"""
Function to extract user's blog url from her http://liketoknow.it/<username> page.
:param liketoknowit_url: url to liketoknowit page
:return: blog url
"""
def get_the_blog_url(xb, liketoknowit_url):
xb.load_url(liketoknowit_url)
anchors = WebDriverWait(xb.driver, 10).until(
lambda _: xb.els_by_xpath('//publisher-header//h5//a')
)
anchors = [a for a in anchors if a.get_attribute('href')]
urls = utils.unique_sameorder(a.get_attribute('href') for a in anchors)
return urls[0] if len(urls) > 0 else None
if liketoknowit_url is None:
return None
try:
if xb is None:
with xbrowser.XBrowser(headless_display=settings.AUTOCREATE_HEADLESS_DISPLAY) as xb:
return get_the_blog_url(xb, liketoknowit_url)
else:
return get_the_blog_url(xb, liketoknowit_url)
except Exception as e:
log.exception(e, extra={'url': liketoknowit_url})
return None
if __name__ == '__main__':
utils.log_to_stderr()
baker.run()
| [
"[email protected]"
] | |
60e328a06c3e1fdb001548de48de55c0eb23e0fb | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_95/2722.py | d7f75c386beda85c91ab2587d1ef7524e8e9592a | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 843 | py | #Author: Alexander Peel
a = open("small-a.gen.in", "r")
b = open("small-a.gen.out", "r")
charMap = {'z': 'q', 'q': 'z'}
revCharMap = {'q': 'z'}
j=0
for x in range(3):
line = a.readline()
gLine = b.readline()
for i in range(min(len(gLine),len(line))):
if line[i] not in charMap.keys():
charMap[line[i]] = gLine[i]
revCharMap[gLine[i]] = line[i]
for x in sorted(revCharMap.keys()):
print(x, revCharMap[x])
a.close()
b.close()
print("size:", len(charMap))
inp = open("A-small-attempt1.in", 'r')
out = open("small-a.out", 'w')
#for x in charMap.keys():
#print(x, charMap[x])
T = int (inp.readline())
i = 1
for x in range(T):
out.write("Case #" + str(i) + ": ")
line = inp.readline()
for c in line:
out.write(charMap[c])
i+=1
| [
"[email protected]"
] | |
31e3583bf955816d864b8e81b269523797df9360 | 4275e285b5868d7709d4d491f79906824d7a2770 | /test_site/__init__.py | c3ff3b7a2975204be2289bbc87f166225f6f0680 | [
"MIT"
] | permissive | MarkLark/dstore-test-site | 3bde86b88437bda45672d6c86c413bf4bd1de85c | c353179f65a502412ce3f696d87a47537f2f6143 | refs/heads/master | 2021-01-23T04:53:09.250107 | 2017-01-30T10:38:13 | 2017-01-30T10:38:13 | 80,403,314 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 39 | py | from . import app
__all__ = [ "app" ]
| [
"[email protected]"
] | |
6a33b0bb6c094e98d634895bdc96a009efda9df4 | 5e8d86f6ddfd516b9768e8617ced0baca8112f4c | /core-python/Core_Python/regexpkg/Regex_As_3.py | d04581509fb9cb7e606dd55ed7907e899e3dc795 | [
"MIT"
] | permissive | bharat-kadchha/tutorials | 0a96ce5a3da1a0ceb39a0d464c8f3e2ff397da7c | cd77b0373c270eab923a6db5b9f34c52543b8664 | refs/heads/master | 2022-12-23T11:49:34.042820 | 2020-10-06T03:51:20 | 2020-10-06T03:51:20 | 272,891,375 | 1 | 0 | MIT | 2020-06-17T06:04:33 | 2020-06-17T06:04:33 | null | UTF-8 | Python | false | false | 1,211 | py | ''' The contains_acronym function checks the text for the presence of 2 or more
characters or digits surrounded by parentheses, with at least the first character
in uppercase (if it's a letter), returning True if the condition is met, or False
otherwise. For example, "Instant messaging (IM) is a set of communication
technologies used for text-based communication" should return True since (IM)
satisfies the match conditions." Fill in the regular expression
in this function: '''
import re
def contains_acronym(text):
pattern = r"[(\^[A-Z0-9][a-zA-Z]{2,}[)\]]"
result = re.search(pattern, text)
return result != None
print(contains_acronym("Instant messaging (IM) is a set of communication technologies used for text-based communication")) # True
print(contains_acronym("American Standard Code for Information Interchange (ASCII) is a character encoding standard for electronic communication")) # True
print(contains_acronym("Please do NOT enter without permission!")) # False
print(contains_acronym("PostScript is a fourth-generation programming language (4GL)")) # True
print(contains_acronym("Have fun using a self-contained underwater breathing apparatus (Scuba)!")) # True | [
"[email protected]"
] | |
bada444bc3e6bdb38b1d1eb129778f62c66ec57a | c50e7eb190802d7849c0d0cea02fb4d2f0021777 | /src/storage-preview/azext_storage_preview/vendored_sdks/azure_storagev2/blob/v2022_11_02/_generated/operations/_service_operations.py | 75e0f8a8f2f9fde88e1833572a315c4220a645db | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | permissive | Azure/azure-cli-extensions | c1615b19930bba7166c282918f166cd40ff6609c | b8c2cf97e991adf0c0a207d810316b8f4686dc29 | refs/heads/main | 2023-08-24T12:40:15.528432 | 2023-08-24T09:17:25 | 2023-08-24T09:17:25 | 106,580,024 | 336 | 1,226 | MIT | 2023-09-14T10:48:57 | 2017-10-11T16:27:31 | Python | UTF-8 | Python | false | false | 50,925 | py | # pylint: disable=too-many-lines
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
from typing import Any, Callable, Dict, IO, Iterator, List, Optional, TypeVar, Union
from azure.core.exceptions import (
ClientAuthenticationError,
HttpResponseError,
ResourceExistsError,
ResourceNotFoundError,
map_error,
)
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import HttpResponse
from azure.core.rest import HttpRequest
from azure.core.tracing.decorator import distributed_trace
from azure.core.utils import case_insensitive_dict
from .. import models as _models
from .._serialization import Serializer
from .._vendor import _convert_request, _format_url_section
T = TypeVar("T")
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]
_SERIALIZER = Serializer()
_SERIALIZER.client_side_validation = False
def build_set_properties_request(
url: str, *, content: Any, timeout: Optional[int] = None, request_id_parameter: Optional[str] = None, **kwargs: Any
) -> HttpRequest:
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
restype = kwargs.pop("restype", _params.pop("restype", "service")) # type: str
comp = kwargs.pop("comp", _params.pop("comp", "properties")) # type: str
content_type = kwargs.pop("content_type", _headers.pop("Content-Type", None)) # type: Optional[str]
version = kwargs.pop("version", _headers.pop("x-ms-version", "2021-12-02")) # type: str
accept = _headers.pop("Accept", "application/xml")
# Construct URL
_url = kwargs.pop("template_url", "{url}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, "str", skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_params["restype"] = _SERIALIZER.query("restype", restype, "str")
_params["comp"] = _SERIALIZER.query("comp", comp, "str")
if timeout is not None:
_params["timeout"] = _SERIALIZER.query("timeout", timeout, "int", minimum=0)
# Construct headers
_headers["x-ms-version"] = _SERIALIZER.header("version", version, "str")
if request_id_parameter is not None:
_headers["x-ms-client-request-id"] = _SERIALIZER.header("request_id_parameter", request_id_parameter, "str")
if content_type is not None:
_headers["Content-Type"] = _SERIALIZER.header("content_type", content_type, "str")
_headers["Accept"] = _SERIALIZER.header("accept", accept, "str")
return HttpRequest(method="PUT", url=_url, params=_params, headers=_headers, content=content, **kwargs)
def build_get_properties_request(
url: str, *, timeout: Optional[int] = None, request_id_parameter: Optional[str] = None, **kwargs: Any
) -> HttpRequest:
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
restype = kwargs.pop("restype", _params.pop("restype", "service")) # type: str
comp = kwargs.pop("comp", _params.pop("comp", "properties")) # type: str
version = kwargs.pop("version", _headers.pop("x-ms-version", "2021-12-02")) # type: str
accept = _headers.pop("Accept", "application/xml")
# Construct URL
_url = kwargs.pop("template_url", "{url}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, "str", skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_params["restype"] = _SERIALIZER.query("restype", restype, "str")
_params["comp"] = _SERIALIZER.query("comp", comp, "str")
if timeout is not None:
_params["timeout"] = _SERIALIZER.query("timeout", timeout, "int", minimum=0)
# Construct headers
_headers["x-ms-version"] = _SERIALIZER.header("version", version, "str")
if request_id_parameter is not None:
_headers["x-ms-client-request-id"] = _SERIALIZER.header("request_id_parameter", request_id_parameter, "str")
_headers["Accept"] = _SERIALIZER.header("accept", accept, "str")
return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)
def build_get_statistics_request(
url: str, *, timeout: Optional[int] = None, request_id_parameter: Optional[str] = None, **kwargs: Any
) -> HttpRequest:
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
restype = kwargs.pop("restype", _params.pop("restype", "service")) # type: str
comp = kwargs.pop("comp", _params.pop("comp", "stats")) # type: str
version = kwargs.pop("version", _headers.pop("x-ms-version", "2021-12-02")) # type: str
accept = _headers.pop("Accept", "application/xml")
# Construct URL
_url = kwargs.pop("template_url", "{url}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, "str", skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_params["restype"] = _SERIALIZER.query("restype", restype, "str")
_params["comp"] = _SERIALIZER.query("comp", comp, "str")
if timeout is not None:
_params["timeout"] = _SERIALIZER.query("timeout", timeout, "int", minimum=0)
# Construct headers
_headers["x-ms-version"] = _SERIALIZER.header("version", version, "str")
if request_id_parameter is not None:
_headers["x-ms-client-request-id"] = _SERIALIZER.header("request_id_parameter", request_id_parameter, "str")
_headers["Accept"] = _SERIALIZER.header("accept", accept, "str")
return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)
def build_list_containers_segment_request(
url: str,
*,
prefix: Optional[str] = None,
marker: Optional[str] = None,
maxresults: Optional[int] = None,
include: Optional[List[Union[str, "_models.ListContainersIncludeType"]]] = None,
timeout: Optional[int] = None,
request_id_parameter: Optional[str] = None,
**kwargs: Any
) -> HttpRequest:
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
comp = kwargs.pop("comp", _params.pop("comp", "list")) # type: str
version = kwargs.pop("version", _headers.pop("x-ms-version", "2021-12-02")) # type: str
accept = _headers.pop("Accept", "application/xml")
# Construct URL
_url = kwargs.pop("template_url", "{url}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, "str", skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_params["comp"] = _SERIALIZER.query("comp", comp, "str")
if prefix is not None:
_params["prefix"] = _SERIALIZER.query("prefix", prefix, "str")
if marker is not None:
_params["marker"] = _SERIALIZER.query("marker", marker, "str")
if maxresults is not None:
_params["maxresults"] = _SERIALIZER.query("maxresults", maxresults, "int", minimum=1)
if include is not None:
_params["include"] = _SERIALIZER.query("include", include, "[str]", div=",")
if timeout is not None:
_params["timeout"] = _SERIALIZER.query("timeout", timeout, "int", minimum=0)
# Construct headers
_headers["x-ms-version"] = _SERIALIZER.header("version", version, "str")
if request_id_parameter is not None:
_headers["x-ms-client-request-id"] = _SERIALIZER.header("request_id_parameter", request_id_parameter, "str")
_headers["Accept"] = _SERIALIZER.header("accept", accept, "str")
return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)
def build_get_user_delegation_key_request(
url: str, *, content: Any, timeout: Optional[int] = None, request_id_parameter: Optional[str] = None, **kwargs: Any
) -> HttpRequest:
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
restype = kwargs.pop("restype", _params.pop("restype", "service")) # type: str
comp = kwargs.pop("comp", _params.pop("comp", "userdelegationkey")) # type: str
content_type = kwargs.pop("content_type", _headers.pop("Content-Type", None)) # type: Optional[str]
version = kwargs.pop("version", _headers.pop("x-ms-version", "2021-12-02")) # type: str
accept = _headers.pop("Accept", "application/xml")
# Construct URL
_url = kwargs.pop("template_url", "{url}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, "str", skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_params["restype"] = _SERIALIZER.query("restype", restype, "str")
_params["comp"] = _SERIALIZER.query("comp", comp, "str")
if timeout is not None:
_params["timeout"] = _SERIALIZER.query("timeout", timeout, "int", minimum=0)
# Construct headers
_headers["x-ms-version"] = _SERIALIZER.header("version", version, "str")
if request_id_parameter is not None:
_headers["x-ms-client-request-id"] = _SERIALIZER.header("request_id_parameter", request_id_parameter, "str")
if content_type is not None:
_headers["Content-Type"] = _SERIALIZER.header("content_type", content_type, "str")
_headers["Accept"] = _SERIALIZER.header("accept", accept, "str")
return HttpRequest(method="POST", url=_url, params=_params, headers=_headers, content=content, **kwargs)
def build_get_account_info_request(url: str, **kwargs: Any) -> HttpRequest:
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
restype = kwargs.pop("restype", _params.pop("restype", "account")) # type: str
comp = kwargs.pop("comp", _params.pop("comp", "properties")) # type: str
version = kwargs.pop("version", _headers.pop("x-ms-version", "2021-12-02")) # type: str
accept = _headers.pop("Accept", "application/xml")
# Construct URL
_url = kwargs.pop("template_url", "{url}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, "str", skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_params["restype"] = _SERIALIZER.query("restype", restype, "str")
_params["comp"] = _SERIALIZER.query("comp", comp, "str")
# Construct headers
_headers["x-ms-version"] = _SERIALIZER.header("version", version, "str")
_headers["Accept"] = _SERIALIZER.header("accept", accept, "str")
return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)
def build_submit_batch_request(
url: str,
*,
content_length: int,
content: IO,
timeout: Optional[int] = None,
request_id_parameter: Optional[str] = None,
**kwargs: Any
) -> HttpRequest:
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
comp = kwargs.pop("comp", _params.pop("comp", "batch")) # type: str
multipart_content_type = kwargs.pop(
"multipart_content_type", _headers.pop("Content-Type", None)
) # type: Optional[str]
version = kwargs.pop("version", _headers.pop("x-ms-version", "2021-12-02")) # type: str
accept = _headers.pop("Accept", "application/xml")
# Construct URL
_url = kwargs.pop("template_url", "{url}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, "str", skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_params["comp"] = _SERIALIZER.query("comp", comp, "str")
if timeout is not None:
_params["timeout"] = _SERIALIZER.query("timeout", timeout, "int", minimum=0)
# Construct headers
_headers["Content-Length"] = _SERIALIZER.header("content_length", content_length, "int")
if multipart_content_type is not None:
_headers["Content-Type"] = _SERIALIZER.header("multipart_content_type", multipart_content_type, "str")
_headers["x-ms-version"] = _SERIALIZER.header("version", version, "str")
if request_id_parameter is not None:
_headers["x-ms-client-request-id"] = _SERIALIZER.header("request_id_parameter", request_id_parameter, "str")
_headers["Accept"] = _SERIALIZER.header("accept", accept, "str")
return HttpRequest(method="POST", url=_url, params=_params, headers=_headers, content=content, **kwargs)
def build_filter_blobs_request(
url: str,
*,
timeout: Optional[int] = None,
request_id_parameter: Optional[str] = None,
where: Optional[str] = None,
marker: Optional[str] = None,
maxresults: Optional[int] = None,
include: Optional[List[Union[str, "_models.FilterBlobsIncludeItem"]]] = None,
**kwargs: Any
) -> HttpRequest:
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
comp = kwargs.pop("comp", _params.pop("comp", "blobs")) # type: str
version = kwargs.pop("version", _headers.pop("x-ms-version", "2021-12-02")) # type: str
accept = _headers.pop("Accept", "application/xml")
# Construct URL
_url = kwargs.pop("template_url", "{url}")
path_format_arguments = {
"url": _SERIALIZER.url("url", url, "str", skip_quote=True),
}
_url = _format_url_section(_url, **path_format_arguments)
# Construct parameters
_params["comp"] = _SERIALIZER.query("comp", comp, "str")
if timeout is not None:
_params["timeout"] = _SERIALIZER.query("timeout", timeout, "int", minimum=0)
if where is not None:
_params["where"] = _SERIALIZER.query("where", where, "str")
if marker is not None:
_params["marker"] = _SERIALIZER.query("marker", marker, "str")
if maxresults is not None:
_params["maxresults"] = _SERIALIZER.query("maxresults", maxresults, "int", minimum=1)
if include is not None:
_params["include"] = _SERIALIZER.query("include", include, "[str]", div=",")
# Construct headers
_headers["x-ms-version"] = _SERIALIZER.header("version", version, "str")
if request_id_parameter is not None:
_headers["x-ms-client-request-id"] = _SERIALIZER.header("request_id_parameter", request_id_parameter, "str")
_headers["Accept"] = _SERIALIZER.header("accept", accept, "str")
return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)
class ServiceOperations:
"""
.. warning::
**DO NOT** instantiate this class directly.
Instead, you should access the following operations through
:class:`~azure.storage.blob.AzureBlobStorage`'s
:attr:`service` attribute.
"""
models = _models
def __init__(self, *args, **kwargs):
input_args = list(args)
self._client = input_args.pop(0) if input_args else kwargs.pop("client")
self._config = input_args.pop(0) if input_args else kwargs.pop("config")
self._serialize = input_args.pop(0) if input_args else kwargs.pop("serializer")
self._deserialize = input_args.pop(0) if input_args else kwargs.pop("deserializer")
@distributed_trace
def set_properties( # pylint: disable=inconsistent-return-statements
self,
storage_service_properties: _models.StorageServiceProperties,
timeout: Optional[int] = None,
request_id_parameter: Optional[str] = None,
**kwargs: Any
) -> None:
"""Sets properties for a storage account's Blob service endpoint, including properties for Storage
Analytics and CORS (Cross-Origin Resource Sharing) rules.
:param storage_service_properties: The StorageService properties. Required.
:type storage_service_properties: ~azure.storage.blob.models.StorageServiceProperties
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:keyword restype: restype. Default value is "service". Note that overriding this default value
may result in unsupported behavior.
:paramtype restype: str
:keyword comp: comp. Default value is "properties". Note that overriding this default value may
result in unsupported behavior.
:paramtype comp: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None or the result of cls(response)
:rtype: None
:raises ~azure.core.exceptions.HttpResponseError:
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
restype = kwargs.pop("restype", _params.pop("restype", "service")) # type: str
comp = kwargs.pop("comp", _params.pop("comp", "properties")) # type: str
content_type = kwargs.pop("content_type", _headers.pop("Content-Type", "application/xml")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
_content = self._serialize.body(storage_service_properties, "StorageServiceProperties", is_xml=True)
request = build_set_properties_request(
url=self._config.url,
timeout=timeout,
request_id_parameter=request_id_parameter,
restype=restype,
comp=comp,
content_type=content_type,
version=self._config.version,
content=_content,
template_url=self.set_properties.metadata["url"],
headers=_headers,
params=_params,
)
request = _convert_request(request)
request.url = self._client.format_url(request.url) # type: ignore
pipeline_response = self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [202]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers["x-ms-client-request-id"] = self._deserialize(
"str", response.headers.get("x-ms-client-request-id")
)
response_headers["x-ms-request-id"] = self._deserialize("str", response.headers.get("x-ms-request-id"))
response_headers["x-ms-version"] = self._deserialize("str", response.headers.get("x-ms-version"))
if cls:
return cls(pipeline_response, None, response_headers)
set_properties.metadata = {"url": "{url}"} # type: ignore
@distributed_trace
def get_properties(
self, timeout: Optional[int] = None, request_id_parameter: Optional[str] = None, **kwargs: Any
) -> _models.StorageServiceProperties:
"""gets the properties of a storage account's Blob service, including properties for Storage
Analytics and CORS (Cross-Origin Resource Sharing) rules.
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:keyword restype: restype. Default value is "service". Note that overriding this default value
may result in unsupported behavior.
:paramtype restype: str
:keyword comp: comp. Default value is "properties". Note that overriding this default value may
result in unsupported behavior.
:paramtype comp: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: StorageServiceProperties or the result of cls(response)
:rtype: ~azure.storage.blob.models.StorageServiceProperties
:raises ~azure.core.exceptions.HttpResponseError:
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
restype = kwargs.pop("restype", _params.pop("restype", "service")) # type: str
comp = kwargs.pop("comp", _params.pop("comp", "properties")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[_models.StorageServiceProperties]
request = build_get_properties_request(
url=self._config.url,
timeout=timeout,
request_id_parameter=request_id_parameter,
restype=restype,
comp=comp,
version=self._config.version,
template_url=self.get_properties.metadata["url"],
headers=_headers,
params=_params,
)
request = _convert_request(request)
request.url = self._client.format_url(request.url) # type: ignore
pipeline_response = self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers["x-ms-client-request-id"] = self._deserialize(
"str", response.headers.get("x-ms-client-request-id")
)
response_headers["x-ms-request-id"] = self._deserialize("str", response.headers.get("x-ms-request-id"))
response_headers["x-ms-version"] = self._deserialize("str", response.headers.get("x-ms-version"))
deserialized = self._deserialize("StorageServiceProperties", pipeline_response)
if cls:
return cls(pipeline_response, deserialized, response_headers)
return deserialized
get_properties.metadata = {"url": "{url}"} # type: ignore
@distributed_trace
def get_statistics(
self, timeout: Optional[int] = None, request_id_parameter: Optional[str] = None, **kwargs: Any
) -> _models.StorageServiceStats:
"""Retrieves statistics related to replication for the Blob service. It is only available on the
secondary location endpoint when read-access geo-redundant replication is enabled for the
storage account.
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:keyword restype: restype. Default value is "service". Note that overriding this default value
may result in unsupported behavior.
:paramtype restype: str
:keyword comp: comp. Default value is "stats". Note that overriding this default value may
result in unsupported behavior.
:paramtype comp: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: StorageServiceStats or the result of cls(response)
:rtype: ~azure.storage.blob.models.StorageServiceStats
:raises ~azure.core.exceptions.HttpResponseError:
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
restype = kwargs.pop("restype", _params.pop("restype", "service")) # type: str
comp = kwargs.pop("comp", _params.pop("comp", "stats")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[_models.StorageServiceStats]
request = build_get_statistics_request(
url=self._config.url,
timeout=timeout,
request_id_parameter=request_id_parameter,
restype=restype,
comp=comp,
version=self._config.version,
template_url=self.get_statistics.metadata["url"],
headers=_headers,
params=_params,
)
request = _convert_request(request)
request.url = self._client.format_url(request.url) # type: ignore
pipeline_response = self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers["x-ms-client-request-id"] = self._deserialize(
"str", response.headers.get("x-ms-client-request-id")
)
response_headers["x-ms-request-id"] = self._deserialize("str", response.headers.get("x-ms-request-id"))
response_headers["x-ms-version"] = self._deserialize("str", response.headers.get("x-ms-version"))
response_headers["Date"] = self._deserialize("rfc-1123", response.headers.get("Date"))
deserialized = self._deserialize("StorageServiceStats", pipeline_response)
if cls:
return cls(pipeline_response, deserialized, response_headers)
return deserialized
get_statistics.metadata = {"url": "{url}"} # type: ignore
@distributed_trace
def list_containers_segment(
self,
prefix: Optional[str] = None,
marker: Optional[str] = None,
maxresults: Optional[int] = None,
include: Optional[List[Union[str, "_models.ListContainersIncludeType"]]] = None,
timeout: Optional[int] = None,
request_id_parameter: Optional[str] = None,
**kwargs: Any
) -> _models.ListContainersSegmentResponse:
"""The List Containers Segment operation returns a list of the containers under the specified
account.
:param prefix: Filters the results to return only containers whose name begins with the
specified prefix. Default value is None.
:type prefix: str
:param marker: A string value that identifies the portion of the list of containers to be
returned with the next listing operation. The operation returns the NextMarker value within the
response body if the listing operation did not return all containers remaining to be listed
with the current page. The NextMarker value can be used as the value for the marker parameter
in a subsequent call to request the next page of list items. The marker value is opaque to the
client. Default value is None.
:type marker: str
:param maxresults: Specifies the maximum number of containers to return. If the request does
not specify maxresults, or specifies a value greater than 5000, the server will return up to
5000 items. Note that if the listing operation crosses a partition boundary, then the service
will return a continuation token for retrieving the remainder of the results. For this reason,
it is possible that the service will return fewer results than specified by maxresults, or than
the default of 5000. Default value is None.
:type maxresults: int
:param include: Include this parameter to specify that the container's metadata be returned as
part of the response body. Default value is None.
:type include: list[str or ~azure.storage.blob.models.ListContainersIncludeType]
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:keyword comp: comp. Default value is "list". Note that overriding this default value may
result in unsupported behavior.
:paramtype comp: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: ListContainersSegmentResponse or the result of cls(response)
:rtype: ~azure.storage.blob.models.ListContainersSegmentResponse
:raises ~azure.core.exceptions.HttpResponseError:
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
comp = kwargs.pop("comp", _params.pop("comp", "list")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[_models.ListContainersSegmentResponse]
request = build_list_containers_segment_request(
url=self._config.url,
prefix=prefix,
marker=marker,
maxresults=maxresults,
include=include,
timeout=timeout,
request_id_parameter=request_id_parameter,
comp=comp,
version=self._config.version,
template_url=self.list_containers_segment.metadata["url"],
headers=_headers,
params=_params,
)
request = _convert_request(request)
request.url = self._client.format_url(request.url) # type: ignore
pipeline_response = self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers["x-ms-client-request-id"] = self._deserialize(
"str", response.headers.get("x-ms-client-request-id")
)
response_headers["x-ms-request-id"] = self._deserialize("str", response.headers.get("x-ms-request-id"))
response_headers["x-ms-version"] = self._deserialize("str", response.headers.get("x-ms-version"))
deserialized = self._deserialize("ListContainersSegmentResponse", pipeline_response)
if cls:
return cls(pipeline_response, deserialized, response_headers)
return deserialized
list_containers_segment.metadata = {"url": "{url}"} # type: ignore
@distributed_trace
def get_user_delegation_key(
self,
key_info: _models.KeyInfo,
timeout: Optional[int] = None,
request_id_parameter: Optional[str] = None,
**kwargs: Any
) -> _models.UserDelegationKey:
"""Retrieves a user delegation key for the Blob service. This is only a valid operation when using
bearer token authentication.
:param key_info: Key information. Required.
:type key_info: ~azure.storage.blob.models.KeyInfo
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:keyword restype: restype. Default value is "service". Note that overriding this default value
may result in unsupported behavior.
:paramtype restype: str
:keyword comp: comp. Default value is "userdelegationkey". Note that overriding this default
value may result in unsupported behavior.
:paramtype comp: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: UserDelegationKey or the result of cls(response)
:rtype: ~azure.storage.blob.models.UserDelegationKey
:raises ~azure.core.exceptions.HttpResponseError:
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
restype = kwargs.pop("restype", _params.pop("restype", "service")) # type: str
comp = kwargs.pop("comp", _params.pop("comp", "userdelegationkey")) # type: str
content_type = kwargs.pop("content_type", _headers.pop("Content-Type", "application/xml")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[_models.UserDelegationKey]
_content = self._serialize.body(key_info, "KeyInfo", is_xml=True)
request = build_get_user_delegation_key_request(
url=self._config.url,
timeout=timeout,
request_id_parameter=request_id_parameter,
restype=restype,
comp=comp,
content_type=content_type,
version=self._config.version,
content=_content,
template_url=self.get_user_delegation_key.metadata["url"],
headers=_headers,
params=_params,
)
request = _convert_request(request)
request.url = self._client.format_url(request.url) # type: ignore
pipeline_response = self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers["x-ms-client-request-id"] = self._deserialize(
"str", response.headers.get("x-ms-client-request-id")
)
response_headers["x-ms-request-id"] = self._deserialize("str", response.headers.get("x-ms-request-id"))
response_headers["x-ms-version"] = self._deserialize("str", response.headers.get("x-ms-version"))
response_headers["Date"] = self._deserialize("rfc-1123", response.headers.get("Date"))
deserialized = self._deserialize("UserDelegationKey", pipeline_response)
if cls:
return cls(pipeline_response, deserialized, response_headers)
return deserialized
get_user_delegation_key.metadata = {"url": "{url}"} # type: ignore
@distributed_trace
def get_account_info(self, **kwargs: Any) -> None: # pylint: disable=inconsistent-return-statements
"""Returns the sku name and account kind.
:keyword restype: restype. Default value is "account". Note that overriding this default value
may result in unsupported behavior.
:paramtype restype: str
:keyword comp: comp. Default value is "properties". Note that overriding this default value may
result in unsupported behavior.
:paramtype comp: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None or the result of cls(response)
:rtype: None
:raises ~azure.core.exceptions.HttpResponseError:
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
restype = kwargs.pop("restype", _params.pop("restype", "account")) # type: str
comp = kwargs.pop("comp", _params.pop("comp", "properties")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[None]
request = build_get_account_info_request(
url=self._config.url,
restype=restype,
comp=comp,
version=self._config.version,
template_url=self.get_account_info.metadata["url"],
headers=_headers,
params=_params,
)
request = _convert_request(request)
request.url = self._client.format_url(request.url) # type: ignore
pipeline_response = self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers["x-ms-client-request-id"] = self._deserialize(
"str", response.headers.get("x-ms-client-request-id")
)
response_headers["x-ms-request-id"] = self._deserialize("str", response.headers.get("x-ms-request-id"))
response_headers["x-ms-version"] = self._deserialize("str", response.headers.get("x-ms-version"))
response_headers["Date"] = self._deserialize("rfc-1123", response.headers.get("Date"))
response_headers["x-ms-sku-name"] = self._deserialize("str", response.headers.get("x-ms-sku-name"))
response_headers["x-ms-account-kind"] = self._deserialize("str", response.headers.get("x-ms-account-kind"))
response_headers["x-ms-is-hns-enabled"] = self._deserialize("bool", response.headers.get("x-ms-is-hns-enabled"))
if cls:
return cls(pipeline_response, None, response_headers)
get_account_info.metadata = {"url": "{url}"} # type: ignore
@distributed_trace
def submit_batch(
self,
content_length: int,
body: IO,
timeout: Optional[int] = None,
request_id_parameter: Optional[str] = None,
**kwargs: Any
) -> Iterator[bytes]:
"""The Batch operation allows multiple API calls to be embedded into a single HTTP request.
:param content_length: The length of the request. Required.
:type content_length: int
:param body: Initial data. Required.
:type body: IO
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:keyword comp: comp. Default value is "batch". Note that overriding this default value may
result in unsupported behavior.
:paramtype comp: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: Iterator of the response bytes or the result of cls(response)
:rtype: Iterator[bytes]
:raises ~azure.core.exceptions.HttpResponseError:
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
comp = kwargs.pop("comp", _params.pop("comp", "batch")) # type: str
multipart_content_type = kwargs.pop(
"multipart_content_type", _headers.pop("Content-Type", "application/xml")
) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[Iterator[bytes]]
_content = body
request = build_submit_batch_request(
url=self._config.url,
content_length=content_length,
timeout=timeout,
request_id_parameter=request_id_parameter,
comp=comp,
multipart_content_type=multipart_content_type,
version=self._config.version,
content=_content,
template_url=self.submit_batch.metadata["url"],
headers=_headers,
params=_params,
)
request = _convert_request(request)
request.url = self._client.format_url(request.url) # type: ignore
pipeline_response = self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=True, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers["Content-Type"] = self._deserialize("str", response.headers.get("Content-Type"))
response_headers["x-ms-request-id"] = self._deserialize("str", response.headers.get("x-ms-request-id"))
response_headers["x-ms-version"] = self._deserialize("str", response.headers.get("x-ms-version"))
deserialized = response.stream_download(self._client._pipeline)
if cls:
return cls(pipeline_response, deserialized, response_headers)
return deserialized
submit_batch.metadata = {"url": "{url}"} # type: ignore
@distributed_trace
def filter_blobs(
self,
timeout: Optional[int] = None,
request_id_parameter: Optional[str] = None,
where: Optional[str] = None,
marker: Optional[str] = None,
maxresults: Optional[int] = None,
include: Optional[List[Union[str, "_models.FilterBlobsIncludeItem"]]] = None,
**kwargs: Any
) -> _models.FilterBlobSegment:
"""The Filter Blobs operation enables callers to list blobs across all containers whose tags match
a given search expression. Filter blobs searches across all containers within a storage
account but can be scoped within the expression to a single container.
:param timeout: The timeout parameter is expressed in seconds. For more information, see
:code:`<a
href="https://docs.microsoft.com/en-us/rest/api/storageservices/fileservices/setting-timeouts-for-blob-service-operations">Setting
Timeouts for Blob Service Operations.</a>`. Default value is None.
:type timeout: int
:param request_id_parameter: Provides a client-generated, opaque value with a 1 KB character
limit that is recorded in the analytics logs when storage analytics logging is enabled. Default
value is None.
:type request_id_parameter: str
:param where: Filters the results to return only to return only blobs whose tags match the
specified expression. Default value is None.
:type where: str
:param marker: A string value that identifies the portion of the list of containers to be
returned with the next listing operation. The operation returns the NextMarker value within the
response body if the listing operation did not return all containers remaining to be listed
with the current page. The NextMarker value can be used as the value for the marker parameter
in a subsequent call to request the next page of list items. The marker value is opaque to the
client. Default value is None.
:type marker: str
:param maxresults: Specifies the maximum number of containers to return. If the request does
not specify maxresults, or specifies a value greater than 5000, the server will return up to
5000 items. Note that if the listing operation crosses a partition boundary, then the service
will return a continuation token for retrieving the remainder of the results. For this reason,
it is possible that the service will return fewer results than specified by maxresults, or than
the default of 5000. Default value is None.
:type maxresults: int
:param include: Include this parameter to specify one or more datasets to include in the
response. Default value is None.
:type include: list[str or ~azure.storage.blob.models.FilterBlobsIncludeItem]
:keyword comp: comp. Default value is "blobs". Note that overriding this default value may
result in unsupported behavior.
:paramtype comp: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: FilterBlobSegment or the result of cls(response)
:rtype: ~azure.storage.blob.models.FilterBlobSegment
:raises ~azure.core.exceptions.HttpResponseError:
"""
error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
comp = kwargs.pop("comp", _params.pop("comp", "blobs")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[_models.FilterBlobSegment]
request = build_filter_blobs_request(
url=self._config.url,
timeout=timeout,
request_id_parameter=request_id_parameter,
where=where,
marker=marker,
maxresults=maxresults,
include=include,
comp=comp,
version=self._config.version,
template_url=self.filter_blobs.metadata["url"],
headers=_headers,
params=_params,
)
request = _convert_request(request)
request.url = self._client.format_url(request.url) # type: ignore
pipeline_response = self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.StorageError, pipeline_response)
raise HttpResponseError(response=response, model=error)
response_headers = {}
response_headers["x-ms-client-request-id"] = self._deserialize(
"str", response.headers.get("x-ms-client-request-id")
)
response_headers["x-ms-request-id"] = self._deserialize("str", response.headers.get("x-ms-request-id"))
response_headers["x-ms-version"] = self._deserialize("str", response.headers.get("x-ms-version"))
response_headers["Date"] = self._deserialize("rfc-1123", response.headers.get("Date"))
deserialized = self._deserialize("FilterBlobSegment", pipeline_response)
if cls:
return cls(pipeline_response, deserialized, response_headers)
return deserialized
filter_blobs.metadata = {"url": "{url}"} # type: ignore
| [
"[email protected]"
] | |
dc5ce011053d51bc444a7a253c7fd41a38ec9dfb | 74eafe55252eff97fd9a2e1e6564ecf243f7c058 | /print_numbers.py | 905050698fd2de935082c1635734d8584b74115a | [] | no_license | srikanthpragada/demo_24_june_2019 | c5ddef71eb721367d656924d312e9ca7ac80c34a | fa7aca273d1ffe6ded34795a639910ab91ce66a0 | refs/heads/master | 2020-06-11T10:19:22.384096 | 2019-08-01T15:28:26 | 2019-08-01T15:28:26 | 193,929,558 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 115 | py | # print numbers from 1 to 10
n = 1
while n <= 10:
print(n)
n += 1
for n in range(1, 11, 2):
print(n)
| [
"[email protected]"
] | |
97f89bd27f13c0f02aecc8b7b6338f2d4ceb35d4 | aa9a0acc85a7328969a81527f3ed7c155a245727 | /chapter_7/mountain_poll.py | 1cbe3e263c36adbf0e5ad45eaf8e28e5f361de72 | [] | no_license | mwnickerson/python-crash-course | 7035e21e1ee60c05d1d475ebcf04bd6a93c5967a | 18784c7e3abfb74f85f8c96cb0f8e606cab6dccc | refs/heads/main | 2023-08-03T20:14:49.883626 | 2021-09-25T05:31:12 | 2021-09-25T05:31:12 | 400,644,375 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 738 | py | # mountain poll
# set a flag to indicate that polling is active
responses = {}
# set a flag to stop
polling_active = True
while polling_active:
# prompt for the person's name and response
name = input("\nWhat is your name? ")
response = input("Which mountain would you like to climb someday? ")
# store the response in the dictionary
responses[name] = response
# find out if anyone else is going to take the poll
repeat = input("Would you like to let another person respond? (yes/ no) " )
if repeat == 'no':
polling_active = False
# polling is complete. show the results
print("\n--- Poll Results ---")
for name, response in responses.items():
print(f"{name} would like to climb {response}") | [
"[email protected]"
] | |
f61d55e3301a8e2accce79dfa29797592506b149 | 01ebe45440f08158c796466cca679dec9687d93c | /tests/cx_devices/devices_test.py | c069a3a600767508066fdd74089c959fea2e6c90 | [
"MIT"
] | permissive | ilarrain/controllerx | 694211a247055d2a7417ba3648cdb099468c857b | 0a1ef68b3fd2b6dbb2a499b6b9920e6b3bfa2185 | refs/heads/master | 2023-02-01T00:50:23.731673 | 2020-09-19T22:00:14 | 2020-09-19T22:00:14 | 297,980,184 | 0 | 0 | null | 2020-09-23T13:33:42 | 2020-09-23T13:33:41 | null | UTF-8 | Python | false | false | 1,911 | py | import cx_devices as devices_module
from cx_core import Controller
from cx_core.controller import ReleaseHoldController
from tests.test_utils import get_instances
def check_mapping(mapping, all_possible_actions, device):
device_name = device.__class__.__name__
if mapping is None:
return
if issubclass(device.__class__, ReleaseHoldController):
delay = device.default_delay()
if delay < 0:
raise ValueError(
f"`default_delay` should be a positive integer and the value is `{delay}`. "
f"Device class: {device_name}"
)
for k, v in mapping.items():
if not isinstance(v, str):
raise ValueError(
"The value from the mapping should be a string, matching "
"one of the actions from the controller. "
f"The possible actions are: {all_possible_actions}. "
f"Device class: {device_name}"
)
if v not in all_possible_actions:
raise ValueError(
f"{device_name}: `{v}` not found in the list of possible action from the controller. "
+ f"The possible actions are: {all_possible_actions}"
)
def test_devices(hass_mock):
devices = get_instances(
devices_module.__file__, devices_module.__package__, Controller
)
for device in devices:
type_actions_mapping = device.get_type_actions_mapping()
if type_actions_mapping is None:
continue
possible_actions = list(type_actions_mapping.keys())
integration_mappings_funcs = [
device.get_z2m_actions_mapping,
device.get_deconz_actions_mapping,
device.get_zha_actions_mapping,
]
for func in integration_mappings_funcs:
mappings = func()
check_mapping(mappings, possible_actions, device)
| [
"[email protected]"
] | |
a357e72273bb8edb1f639d91c440f562df43333f | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/otherforms/_stagehands.py | 1e2b38dd0830cac5b9bb7439a49fbae6ba2fda40 | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 234 | py |
#calss header
class _STAGEHANDS():
def __init__(self,):
self.name = "STAGEHANDS"
self.definitions = stagehand
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.basic = ['stagehand']
| [
"[email protected]"
] | |
f6f1ad958285f676ec5c7f6800454799dbcb29b6 | c77148a25435b50a35fceab36112fba18dbb0866 | /backup/Jun13/units/ZemoraVoidbringer.py | 2e0ac05310a366bbc1dee0479db209f1851a9f09 | [] | no_license | SozBroz/PrismataBot | 51fbecf90950d13eb52606a5b18984b5474746ba | f375ca8dc396abbca4134f70cb262fc78b90a17e | refs/heads/master | 2020-05-31T13:37:50.102010 | 2019-06-06T02:48:01 | 2019-06-06T02:48:01 | 136,826,949 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 803 | py | #!/usr/bin.python3.6
class ZemoraVoidbringer:
def __init__(self,owner):
self.owner=owner
self.lifespan=-1
self.frontline=False
self.cooldown=6
self.defaultBlocking=False
self.assignedBlocking=False
self.health=20
self.fragile=True
self.attack=8
self.startTurnDict={
}
self.onClickDict={
"gold":8,
"attack":8
}
self.onClickCost={
"green":8
}
def __str__(self):
return "Zemora Voidbringer"
def startTurn(self):
return True
def canClick(self):
for i in self.OnClickCost
if owner.resDict[i]<=onClickCost:
return False
return True
def onClick(self):
for i in self.onClickCost:
player.resDict[i]-=self.onClickCost[i]
def ZemoraVoidbringerCost():
buyCostDict={
"gold":5,
"green":3
}
return buyCostDict,True,1,[],"Zemora Voidbringer" | [
"[email protected]"
] | |
28338e414ad6403322decc57220ab896441e6b99 | 11078f43584f75608e86cc4dcbaa37a5a13f24db | /bulk/management/commands/bulk_export.py | 448929cc4f0c74d2896e2f1b63dc5e46a14aa12a | [
"MIT"
] | permissive | tophers42/openstates.org | 90d8cb217f21421c1284fa831c522e90125e5e04 | 76708aa255e3e646ea4f8351a38cf01e286ca7a7 | refs/heads/master | 2022-09-27T08:25:46.413675 | 2020-05-19T15:27:29 | 2020-05-19T15:27:29 | 266,882,535 | 0 | 0 | MIT | 2020-05-25T21:21:20 | 2020-05-25T21:21:20 | null | UTF-8 | Python | false | false | 9,960 | py | import os
import csv
import json
import datetime
import tempfile
import zipfile
import uuid
import boto3
import base62
from django.core.management.base import BaseCommand
from django.db.models import F
from openstates_metadata import STATES_BY_NAME
from openstates.data.models import (
LegislativeSession,
Bill,
BillAbstract,
BillAction,
BillTitle,
BillIdentifier,
RelatedBill,
BillSponsorship,
BillDocument,
BillVersion,
BillDocumentLink,
BillVersionLink,
BillSource,
VoteEvent,
PersonVote,
VoteCount,
VoteSource,
)
from ...models import DataExport
from utils.common import abbr_to_jid
def _str_uuid():
return base62.encode(uuid.uuid4().int)
def export_csv(filename, data, zf):
num = len(data)
if not num:
return
headers = data[0].keys()
with tempfile.NamedTemporaryFile("w") as f:
print("writing", filename, num, "records")
of = csv.DictWriter(f, headers)
of.writeheader()
of.writerows(data)
f.flush()
zf.write(f.name, filename)
return num
def export_json(filename, data, zf):
num = len(data)
if not num:
return
with tempfile.NamedTemporaryFile("w") as f:
print("writing", filename, num, "records")
json.dump(data, f)
f.flush()
zf.write(f.name, filename)
return num
def _docver_to_json(dv):
return {
"note": dv.note,
"date": dv.date,
"links": list(dv.links.values("url", "media_type")),
}
def _vote_to_json(v):
return {
"identifier": v.identifier,
"motion_text": v.motion_text,
"motion_classification": v.motion_classification,
"start_date": v.start_date,
"result": v.result,
"organization__classification": v.organization.classification,
"counts": list(v.counts.values("option", "value")),
"votes": list(v.votes.values("option", "voter_name")),
}
def _bill_to_json(b):
d = {
"id": b.id,
"legislative_session": b.legislative_session.identifier,
"jurisdiction_name": b.legislative_session.jurisdiction.name,
"identifier": b.identifier,
"title": b.title,
"chamber": b.from_organization.classification,
"classification": b.classification,
"subject": b.subject,
"abstracts": list(b.abstracts.values("abstract", "note", "date")),
"other_titles": list(b.other_titles.values("title", "note")),
"other_identifiers": list(
b.other_identifiers.values("note", "identifier", "scheme")
),
"actions": list(
b.actions.values(
"organization__name", "description", "date", "classification", "order"
)
),
# TODO: action related entities
"related_bills": list(b.related_bills.values("related_bill_id")),
"sponsors": list(b.sponsorships.values("name", "primary", "classification")),
"documents": [_docver_to_json(d) for d in b.documents.all()],
"versions": [_docver_to_json(d) for d in b.versions.all()],
"sources": list(b.sources.values("url")),
# votes
"votes": [_vote_to_json(v) for v in b.votes.all()],
}
try:
d["raw_text"] = b.searchable.raw_text
d["raw_text_url"] = b.searchable.version_link.url
except Exception:
pass
return d
def export_session_csv(state, session):
sobj = LegislativeSession.objects.get(
jurisdiction_id=abbr_to_jid(state), identifier=session
)
bills = Bill.objects.filter(legislative_session=sobj).values(
"id",
"identifier",
"title",
"classification",
"subject",
session_identifier=F("legislative_session__identifier"),
jurisdiction=F("legislative_session__jurisdiction__name"),
organization_classification=F("from_organization__classification"),
)
if not bills.count():
print(f"no bills for {state} {session}")
return
random = _str_uuid()
filename = f"/tmp/{state}_{session}_csv_{random}.zip"
zf = zipfile.ZipFile(filename, "w")
ts = datetime.datetime.utcnow()
zf.writestr(
"README",
f"""Open States Data Export
State: {state}
Session: {session}
Generated At: {ts}
CSV Format Version: 2.0
""",
)
export_csv(f"{state}/{session}/{state}_{session}_bills.csv", bills, zf)
for Model, fname in (
(BillAbstract, "bill_abstracts"),
(BillTitle, "bill_titles"),
(BillIdentifier, "bill_identifiers"),
(BillAction, "bill_actions"),
(BillSource, "bill_sources"),
(RelatedBill, "bill_related_bills"),
(BillSponsorship, "bill_sponsorships"),
(BillDocument, "bill_documents"),
(BillVersion, "bill_versions"),
):
subobjs = Model.objects.filter(bill__legislative_session=sobj).values()
export_csv(f"{state}/{session}/{state}_{session}_{fname}.csv", subobjs, zf)
subobjs = BillDocumentLink.objects.filter(
document__bill__legislative_session=sobj
).values()
export_csv(
f"{state}/{session}/{state}_{session}_bill_document_links.csv", subobjs, zf
)
subobjs = BillVersionLink.objects.filter(
version__bill__legislative_session=sobj
).values()
export_csv(
f"{state}/{session}/{state}_{session}_bill_version_links.csv", subobjs, zf
)
# TODO: BillActionRelatedEntity
# Votes
votes = VoteEvent.objects.filter(legislative_session=sobj).values(
"id",
"identifier",
"motion_text",
"motion_classification",
"start_date",
"result",
"organization_id",
"bill_id",
"bill_action_id",
jurisdiction=F("legislative_session__jurisdiction__name"),
session_identifier=F("legislative_session__identifier"),
)
export_csv(f"{state}/{session}/{state}_{session}_votes.csv", votes, zf)
for Model, fname in (
(PersonVote, "vote_people"),
(VoteCount, "vote_counts"),
(VoteSource, "vote_sources"),
):
subobjs = Model.objects.filter(vote_event__legislative_session=sobj).values()
export_csv(f"{state}/{session}/{state}_{session}_{fname}.csv", subobjs, zf)
return filename
def export_session_json(state, session):
sobj = LegislativeSession.objects.get(
jurisdiction_id=abbr_to_jid(state), identifier=session
)
bills = [
_bill_to_json(b)
for b in Bill.objects.filter(legislative_session=sobj)
.select_related(
"legislative_session",
"legislative_session__jurisdiction",
"from_organization",
"searchable",
)
.prefetch_related(
"abstracts",
"other_titles",
"other_identifiers",
"actions",
"related_bills",
"sponsorships",
"documents",
"documents__links",
"versions",
"versions__links",
"sources",
"votes",
"votes__counts",
"votes__votes",
)
]
random = _str_uuid()
filename = f"/tmp/{state}_{session}_json_{random}.zip"
zf = zipfile.ZipFile(filename, "w")
ts = datetime.datetime.utcnow()
zf.writestr(
"README",
f"""Open States Data Export
State: {state}
Session: {session}
Generated At: {ts}
JSON Format Version: 1.0
""",
)
if export_json(f"{state}/{session}/{state}_{session}_bills.json", bills, zf):
return filename
def upload_and_publish(state, session, filename, data_type):
sobj = LegislativeSession.objects.get(
jurisdiction_id=abbr_to_jid(state), identifier=session
)
s3 = boto3.client("s3")
BULK_S3_BUCKET = "data.openstates.org"
basename = os.path.basename(filename)
s3_path = f"{data_type}/latest/"
s3_url = f"https://{BULK_S3_BUCKET}/{s3_path}{basename}"
s3.upload_file(
filename, BULK_S3_BUCKET, s3_path + basename, ExtraArgs={"ACL": "public-read"}
)
print("uploaded", s3_url)
obj, created = DataExport.objects.update_or_create(
session=sobj, data_type=data_type, defaults=dict(url=s3_url),
)
def get_available_sessions(state):
return sorted(
s.identifier
for s in LegislativeSession.objects.filter(jurisdiction_id=abbr_to_jid(state))
)
def export_data(state, session, data_type):
if data_type == "csv":
filename = export_session_csv(state, session)
else:
filename = export_session_json(state, session)
if filename:
upload_and_publish(state, session, filename, data_type)
def export_all_states(data_type):
for state in STATES_BY_NAME.values():
for session in get_available_sessions(state.abbr):
export_data(state.abbr, session, data_type)
class Command(BaseCommand):
help = "export data as CSV"
def add_arguments(self, parser):
parser.add_argument("state")
parser.add_argument("sessions", nargs="*")
parser.add_argument("--all-sessions", action="store_true")
parser.add_argument("--format")
def handle(self, *args, **options):
data_type = options["format"]
if data_type not in ("csv", "json"):
raise ValueError("--format must be csv or json")
state = options["state"]
# special case
if state == "all":
export_all_states(data_type)
return
sessions = get_available_sessions(state)
if options["all_sessions"]:
options["sessions"] = sessions
if not options["sessions"]:
print("available sessions:")
for session in sessions:
print(" ", session)
else:
for session in options["sessions"]:
if session in sessions:
export_data(state, session, data_type)
| [
"[email protected]"
] | |
ac6069daea455c23cbfa5a901efeccb900fd13c5 | 5785d7ed431b024dd910b642f10a6781df50e4aa | /revise-daily/google/educative/dp/10_subset_sum_partition.py | 8731a79078aa769c5036698c2d03b4fcc1f54262 | [] | no_license | kashyapa/interview-prep | 45d77324446da34d99bf8efedb3544b367b5523e | 7060c090c40602fb9c4778eace2078e1b51e235b | refs/heads/master | 2023-07-28T13:12:49.515299 | 2021-09-06T14:33:25 | 2021-09-06T14:33:25 | 403,706,510 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,050 | py | # Given a set of positive numbers, find if we can partition it into two subsets such that the sum of elements in both the subsets is equal.
def equal_subset_sum_partition(nums):
s = sum(nums)
def rec(idx, remaining_sum):
if idx == len(nums):
return remaining_sum == 0
if remaining_sum == 0:
return True
if nums[idx] < remaining_sum:
with_num = rec(idx+1, remaining_sum-nums[idx])
if with_num:
return True
return rec(idx+1, remaining_sum)
return rec(0, s)
def equal_subset_sum_dp(nums):
s = sum(nums) // 2
dp = [[False for _ in range(s+1)] for _ in range(len(nums))]
for i in range(len(nums)):
dp[i][0] = True
for i in range(s+1):
dp[0][i] = True if nums[0] == i else False
for i in range(len(nums)):
for j in range(s+1):
if dp[i-1][j]:
dp[i][j] = True
if nums[i] <= j:
dp[i][j] = dp[i-1][j-nums[i]]
return dp[len(nums)-1][s]
| [
"[email protected]"
] | |
b85f0c1051c650952f431887a123586c06dde8a1 | dae8e0070b093d662fdeea026e3eb48814af73c5 | /Autosampler/startRHX.py | aef73c56a5e8509ca416b314aa8ee12e017a7281 | [] | no_license | clipo/RHX | 43d3dc8e0f2a4d90a8c83ec2a9e4fc0be30fddae | 93286e17df1ec05d98d791671d641d86b7f588b9 | refs/heads/master | 2021-01-02T23:06:23.023476 | 2013-04-27T21:42:01 | 2013-04-27T21:42:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 80,221 | py | ###Simple program that moves the motors and the arms - used for finding positions.
##Imports
import sys
import easygui
# comment while on Mac OS X
#sys.path.insert(0, "/usr/local/lib/python2.7/site-packages/")
import easygui
import logging
import communication
from Tkinter import *
import tkFileDialog
from tkMessageBox import *
from tkColorChooser import askcolor
from tkFileDialog import askopenfilename
import time
from datetime import datetime
from datetime import timedelta
import os
import io
import re
import serial
from ctypes import *
from time import sleep
import DataReadWrite
import xyzRobot
import math
import communication
LOGINT = 5
logger = logging.getLogger("AutoSampler-startRHX")
logger.setLevel(logging.DEBUG)
# create file handler which logs even debug messages
today_date = datetime.today()
datestring = today_date.strftime("%Y-%m-%d-%H-%M")
if sys.platform == "darwin":
## Mac OS X
debugfilename = "/Users/Clipo/Dropbox/Rehydroxylation/Logger/Logs/rhx-startRHX" + datestring + "_debug.log"
else:
debugfilename = "c:/Users/Archy/Dropbox/Rehydroxylation/Logger/Logs/rhx-startRHX" + datestring + "_debug.log"
fh = logging.FileHandler(debugfilename)
fh.setLevel(logging.DEBUG)
# create console handler with a higher log level
ch = logging.StreamHandler()
ch.setLevel(logging.ERROR)
# create formatter and add it to the handlers
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
fh.setFormatter(formatter)
ch.setFormatter(formatter)
# add the handlers to the logger
logger.addHandler(fh)
logger.addHandler(ch)
##Establish GUI ### make these global
root = Tk()
root.wm_title("RHX Measurement")
init = Toplevel()
init.withdraw()
prefire = Toplevel()
prefire.withdraw()
postfire = Toplevel()
postfire.withdraw()
robotStatus = Toplevel()
robotStatus.wm_title("Robot Status")
robotStatus.withdraw()
moveArm = Toplevel()
moveArm.wm_title("Move Arm")
moveArm.withdraw()
setupCrucibles = Toplevel()
setupCrucibles.withdraw()
## CONSTANTS
HOME = 0
INSIDE_BALANCE_POSITION = 10000
OUTSIDE_BALANCE_POSITION = 20000
#### These are all variables for the displays. Ive made them global so that I can access them anywhere here. Kludgy
LOCATION_TEMPERATURE = DoubleVar()
ASSEMBLAGE = StringVar()
MAXPOSITIONS = IntVar()
MAXPOSITIONS.set(25) ## this is a constant for the max # of sample position (now 25)
POSITION_NAME = StringVar() ## this is the name of the position -- HOME, SAMPLE, OUTSIDE_BALANCE, INSIDE_BALANCE are possibilities
ARM_STATUS = StringVar() ## status for arm TOP, SAMPLE or BALANCE
LIGHTSTATUS = StringVar() ### ON OR OFF
LIGHTSTATUS.set("OFF")
XZERO = StringVar()
YZERO = StringVar()
ZZERO = StringVar()
RESUBMIT = StringVar()
RUNINFOSTATUS = StringVar()
RUNID = IntVar()
INITIALS = StringVar()
DURATION = IntVar()
NUMBEROFSAMPLES = IntVar()
START_POSITION = IntVar()
START_POSITION.set(1)
XMOTORPOSITION = StringVar()
YMOTORPOSITION = StringVar()
ZMOTORPOSITION = StringVar()
GRIPPERPOSITION = StringVar()
BALANCEWEIGHT = DoubleVar()
BALANCESTATUS = StringVar()
ABSOLUTEXPOSITION = StringVar()
ABSOLUTEYPOSITION = StringVar()
ABSOLUTEZPOSITION = StringVar()
CRUCIBLEYESNO = StringVar()
MOTORSTEP = StringVar()
MOTORSTEP.set("5000")
ZMOTORSTEP = StringVar()
ZMOTORSTEP.set("5000")
BALANCEDOOR = StringVar()
SAMPLEPOSITION = StringVar()
POSITION = IntVar()
TEMP = DoubleVar()
HUMIDITY = DoubleVar()
REPS = IntVar()
INTERVAL = IntVar()
INTERVAL.set(5)
RUNID = IntVar()
RUNID.set(1)
DATEOFFIRING = StringVar()
TIMEOFFIRING = StringVar()
DURATIONOFFIRING = IntVar()
RATEOFHEATING = IntVar()
TEMPOFFIRING = IntVar()
CURRENTPOSITION = IntVar()
CURRENTREP = IntVar()
NAME = StringVar()
LOCATION = StringVar()
POSITION = IntVar()
SAMPLE_POSITION = IntVar()
MCOUNT = IntVar()
CURRENTSTEP = StringVar()
STATUS = StringVar()
DURATION = IntVar()
LOGGERINTERVAL = IntVar()
RUNID = IntVar()
NUMBEROFSAMPLES = IntVar()
STANDARD_BALANCE = DoubleVar()
TIMEREMAINING = IntVar()
TIMEELAPSEDMIN = DoubleVar()
TEMPERATURE = DoubleVar()
HUMIDITY = DoubleVar()
SAMPLENUM = IntVar()
FILENAME = StringVar()
RHTEMP2000TEMP = DoubleVar()
RHTEMP2000HUMIDITY = DoubleVar()
CYCLE = IntVar()
PRECISIONTEMP = DoubleVar()
DATABASENAME = StringVar()
DBDIRECTORY = StringVar()
#DBDIRECTORY.set("c:/Users/Archy/Dropbox/Rehydroxylation/")
tempCorrection = 0.0
rhCorrection = 0.0
fileName = "RHX.sqlite"
dirname = "/Users/Archy/Dropbox/Rehydroxylation/"
CRUCIBLEWEIGHT = DoubleVar()
CRUCIBLEWEIGHTSTDDEV = DoubleVar()
SAMPLEWEIGHT = DoubleVar()
CURRENTSAMPLE = IntVar()
ABSOLUTEXZERO = IntVar()
ABSOLUTEYZERO = IntVar()
ABSOLUTEXZERO.set(3)
ABSOLUTEYZERO.set(230)
COUNTSFORSTATS = IntVar()
COUNTSFORSTATS.set(3)
MEAN = DoubleVar()
STDEV = DoubleVar()
VARIANCE = DoubleVar()
SETRUNID = IntVar()
POSTFIREWEIGHT = DoubleVar()
POSTFIREWEIGHTSTDDEV = DoubleVar()
CURRENTSAMPLE = IntVar()
INITIALWEIGHT = DoubleVar()
INITIALWEIGHTSTDDEV = DoubleVar()
NOTES = StringVar()
INITIALSHERDWEIGHTSTDDEV = DoubleVar()
INITIALWEIGHTSTDDEV = DoubleVar()
SAMPLEWEIGHTSTDDEV = DoubleVar()
SAMPLEZPOSITION = IntVar()
BALANCEZPOSITION = IntVar()
MAXXMOTORVELOCITY = DoubleVar()
MAXYMOTORVELOCITY = DoubleVar()
MAXZMOTORVELOCITY = DoubleVar()
USINGSTANDARDBALANCE = BooleanVar()
ZTOPPOSITION = BooleanVar()
def quit():
value = DataReadWrite.closeDatabase()
if value is False:
logger.error("There has been an error since closeDatabase returned FALSE")
errorMessage("There has been a problem. Cannot close the current sample database file")
value = DataReadWrite.closeXYDatabase()
if value is False:
logger.error("There has been an error since closeXYDatabase returned FALSE")
errorMessage("There has been a problem. Cannot close XY database (RHX.sqlite)")
return False
prefire.quit()
postfire.quit()
init.quit()
root.quit()
xyzRobot.KillMotors()
sys.exit(1)
def errorMessage(message):
title = "Error! Continue?"
if easygui.ccbox(message, title): # show a Continue/Cancel dialog
pass # user chose Continue
else:
return False
return True
def are_you_sure(message):
msg = "Do you really want to do this: %s " % message
title = "Continue?"
if easygui.ccbox(msg, title): # show a Continue/Cancel dialog
pass # user chose Continue
else:
return False
return True
#Program Controls
def restart_program():
try:
xyzRobot.KillMotors()
except:
pass
python = sys.executable
os.execl(python, python, *sys.argv)
return True
def KillProgram():
logger.debug("Quit has been requested by users. So quitting.")
logger.debug("KillProgram!")
try:
xyzRobot.KillMotors()
except:
pass
#DataReadWrite.tempHumidity.close()
DataReadWrite.balance.close()
#if (DataReadWrite.conn is not None):
# DataReadWrite.closeDatabase()
DataReadWrite.closeDatabase()
DataReadWrite.closeXYDatabase()
DataReadWrite.standard_balance.close()
root.quit()
init.quit()
prefire.quit()
postfire.quit()
return True
def update_windows():
## To prevent negative values.
## so set the motor to 0 and the abs coordinate value to 0
## for each dimension separately.
if xyzRobot.getAbsoluteXPosition() < 0:
xyzRobot.setXCoordinate(HOME)
ABSOLUTEXPOSITION.set(HOME)
if xyzRobot.getAbsoluteYPosition() < 0:
xyzRobot.setYCoordinate(HOME)
ABSOLUTEYPOSITION.set(HOME)
if xyzRobot.getXCoordinate() < 0:
xyzRobot.setXMotorPosition(HOME)
XMOTORPOSITION.set(HOME)
if xyzRobot.getYCoordinate() < 0:
xyzRobot.setYMotorPosition(HOME)
YMOTORPOSITION.set(HOME)
USINGSTANDARDBALANCE.set(DataReadWrite.STANDARDBALANCE)
XMOTORPOSITION.set(xyzRobot.getXMotorPosition())
YMOTORPOSITION.set(xyzRobot.getYMotorPosition())
ZMOTORPOSITION.set(xyzRobot.getZMotorPosition())
XZERO.set(xyzRobot.atXZero())
YZERO.set(xyzRobot.atYZero())
ZZERO.set(xyzRobot.atZZero())
PRECISIONTEMP.set(xyzRobot.getTemperature())
weight, status = DataReadWrite.readInstantWeightFromBalance()
#TODO: renable the standard balance
standardBalance = 0.0
if DataReadWrite.STANDARDBALANCE is True:
standardBalance = float(DataReadWrite.readStandardBalance())
STANDARD_BALANCE.set(standardBalance)
BALANCEWEIGHT.set(weight)
BALANCESTATUS.set(status)
## only check the setting if we are supposedly at HOME
## this is because sample positions really close to home might still trigger the sensors
if SAMPLE_POSITION.get() == HOME:
if xyzRobot.atXZero() == "TRUE" and xyzRobot.atYZero() == "TRUE":
value = xyzRobot.setAbsZeroXY()
POSITION_NAME.set("HOME")
SAMPLE_POSITION.set(HOME)
XMOTORPOSITION.set(HOME)
YMOTORPOSITION.set(HOME)
if XZERO.get() == "TRUE":
## reset the Absolute Zero points
value = xyzRobot.setXMotorPosition(HOME)
if YZERO.get() == "TRUE":
value = xyzRobot.setYMotorPosition(HOME)
if xyzRobot.atXZero() == "TRUE":
XZERO.set("TRUE")
XMOTORPOSITION.set(HOME)
value = xyzRobot.setXMotorPosition(HOME)
value = xyzRobot.setXCoordinate(HOME)
if xyzRobot.atYZero() == "TRUE":
YZERO.set("TRUE")
YMOTORPOSITION.set(HOME)
value = xyzRobot.setYMotorPosition(HOME)
value = xyzRobot.setYCoordinate(HOME)
## check Z separately
if xyzRobot.atZZero() == "TRUE":
ZZERO.set("TRUE")
ARM_STATUS.set("TOP")
ZMOTORPOSITION.set(0)
value = xyzRobot.setZMotorPosition(0)
value = xyzRobot.setZCoordinate(0)
ABSOLUTEXPOSITION.set(xyzRobot.getAbsoluteXPosition())
ABSOLUTEYPOSITION.set(xyzRobot.getAbsoluteYPosition())
ABSOLUTEZPOSITION.set(xyzRobot.getAbsoluteZPosition())
#logger.debug("Going to read the temp and humidity")
TEMPERATURE.set(xyzRobot.getTemperature())
HUMIDITY.set(xyzRobot.getHumidity())
value = xyzRobot.isGripperHoldingSomething()
if value is True:
CRUCIBLEYESNO.set("Yes")
else:
CRUCIBLEYESNO.set("No")
xlimit = xyzRobot.getXMotorVelocityLimit()
ylimit = xyzRobot.getYMotorVelocityLimit()
zlimit = xyzRobot.getZMotorVelocityLimit()
MAXXMOTORVELOCITY.set(xlimit)
MAXYMOTORVELOCITY.set(ylimit)
MAXZMOTORVELOCITY.set(zlimit)
def initialize():
root.withdraw()
init.deiconify()
init.wm_title("Initialize and Weigh Crucibles")
## first go home!
xyzRobot.goHome()
## assume starting point is 0
setMotorXToZero()
setMotorYToZero()
setAbsZeroXY()
#Create Menus
menubar = Menu(init)
#File Bar
filemenu = Menu(menubar, tearoff=0)
filemenu.add_command(label="New", command=restart_program)
filemenu.add_separator()
filemenu.add_command(label="Exit", command=KillProgram)
menubar.add_cascade(label="File", menu=filemenu)
RHTEMP2000TEMP.set(xyzRobot.getTemperature())
RHTEMP2000HUMIDITY.set(xyzRobot.getHumidity())
PRECISIONTEMP.set(xyzRobot.getTemperature())
#Help Menu
helpmenu = Menu(menubar, tearoff=0)
menubar.add_cascade(label="Help", menu=helpmenu)
#Display the Menus
START_POSITION.set(1)
#################################
## GUI BUILD ####################
init.config(menu=menubar)
Label(init, text="Initials:").grid(row=1, column=0, sticky=W)
Entry(init, textvariable=INITIALS, width=4).grid(row=1, column=1, sticky=W)
Label(init, text="Number of Crucibles:").grid(row=3, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=NUMBEROFSAMPLES, width=3).grid(row=3, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Start Position:").grid(row=4, column=0, sticky=W)
Entry(init, textvariable=START_POSITION, width=3).grid(row=4, column=1, sticky=W)
Label(init, text="Duration of Measurements:").grid(row=5, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=DURATION, width=4).grid(row=5, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Madge Tech Temperature:").grid(row=6, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=RHTEMP2000TEMP, width=8).grid(row=6, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Madge Tech RH:").grid(row=7, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=RHTEMP2000HUMIDITY, width=8).grid(row=7, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Precision Temp:").grid(row=8, column=0, sticky=W)
Label(init, text=PRECISIONTEMP.get()).grid(row=8, column=1, sticky=W)
Label(init, text="Humidity:").grid(row=9, column=0, sticky=W)
Label(init, text=HUMIDITY.get()).grid(row=9, column=1, sticky=W)
Button(init, text="Start Initialize", command=go_initialize).grid(row=12, column=2, sticky=W, padx=2, pady=2)
Button(init, text="Quit", command=quit_init).grid(row=12, column=0, sticky=W, padx=2, pady=2)
#################################
## GUI BUILD ####################
update_windows()
def quit_init():
root.deiconify()
DataReadWrite.closeDatabase()
init.withdraw()
def go_initialize():
status = "Initialize"
logger.debug('go_initialize: initialize function running. pre-weigh crucibles')
logger.debug("XMotor: %i YMotor: %i" % (xyzRobot.getXMotorPosition(), xyzRobot.getYMotorPosition()))
logger.debug("Set the current position of motors to zero ... ")
standardTemp = float(RHTEMP2000TEMP.get())
standardRH = float(RHTEMP2000HUMIDITY.get())
## initially use the 0,0 as the correction to see what we need to adjust to match the MadgeTech 2000
## Note these are GLOBAL so that we can read the corrections when running the other stuff
temp = xyzRobot.getTemperature()
tempCorrection = standardTemp - temp
rhCorrection = standardRH - xyzRobot.getHumidity()
numberOfSamples = int(NUMBEROFSAMPLES.get())
duration = int(DURATION.get())
startPosition = int(START_POSITION.get())
xyzRobot.resetXYValuesToZero()
setInitials = INITIALS.get()
timeToCompletion = (duration * numberOfSamples) + numberOfSamples
end = timedelta(minutes=timeToCompletion)
now = datetime.today()
endOfRunTime = now + end
endOfRun = endOfRunTime.strftime("%m-%d-%y %H:%M:%S")
print "This run will end ca. ", endOfRun
logger.debug("Now going to move and measure each of the crucibles... ")
logger.debug(
"xyzRobot.weighAllCrucibles(%s,%d,%d,%d,%d)" % (setInitials, numberOfSamples, LOGINT, duration, startPosition))
returnValue = xyzRobot.weighAllCrucibles(setInitials, numberOfSamples, LOGINT, duration, startPosition,
tempCorrection,
rhCorrection,
robotStatus, SAMPLE_POSITION, MCOUNT, CURRENTSTEP, STATUS, DURATION,
LOGGERINTERVAL, RUNID, NUMBEROFSAMPLES, TIMEREMAINING)
if returnValue is False:
logger.error("There has been an error since weighAllCrucibles returned FALSE")
errorMessage("There has been a problem weighing the crucibles (weighAllCrucibles). ")
return False
##DataReadWrite.updateTempRHCorrection(tempCorrection,rhCorrection,runID)
logger.debug("Initialize Crucibles: Done! ")
init.withdraw()
root.update()
root.deiconify()
## first go home!
xyzRobot.goHome()
value = DataReadWrite.closeDatabase()
communication.sendEmail("RHX Status Change", "Initialization is complete!")
return True
def setup():
root.withdraw()
init.deiconify()
init.wm_title("Setup and Data Entry")
#Create Menus
menubar = Menu(init)
#File Bar
filemenu = Menu(menubar, tearoff=0)
filemenu.add_command(label="New", command=restart_program)
filemenu.add_separator()
filemenu.add_command(label="Exit", command=KillProgram)
menubar.add_cascade(label="File", menu=filemenu)
RHTEMP2000TEMP.set(xyzRobot.getTemperature())
RHTEMP2000HUMIDITY.set(xyzRobot.getHumidity())
PRECISIONTEMP.set(xyzRobot.getTemperature())
#Help Menu
helpmenu = Menu(menubar, tearoff=0)
menubar.add_cascade(label="Help", menu=helpmenu)
#Display the Menus
START_POSITION.set(1)
dbfilename = easygui.fileopenbox(msg='Open file for this set of samples.', title='Open Database',
default="C:/Users/Archy/Dropbox/Rehydroxylation/Logger/Data/*.sqlite",
filetypes='*.sqlite')
if dbfilename is None:
return
DATABASENAME.set(dbfilename)
value = DataReadWrite.openDatabase(dbfilename)
if value is False:
logger.error("There has been an error since openDatabase returned FALSE")
errorMessage("There has been a problem. Cannot read database (openDatabase).")
return False
dt = datetime
t_assemblageName = str
v_locationCode = str
i_numberOfSamples = int
f_locationTemperature = float
f_locationHumidity = float
d_dateTimefiring = datetime
i_durationOfFiring = int
i_temperatureOfFiring = int
v_operatorName = str
try:
(v_locationCode, i_numberOfSamples, t_assemblageName, f_locationTemperature, f_locationHumidity,
d_dateTimeFiring, i_durationOfFiring, i_temperatureOfFiring, v_operatorName,
t_notes) = DataReadWrite.getRunInfo(
1)
except:
logger.error("There has been an error since DataReadWrite.getRunInfo(1) returned FALSE")
errorMessage("There has been a problem with getRunInfo. Cannot read database")
return False
NOTES.set(t_notes)
NUMBEROFSAMPLES.set(i_numberOfSamples)
INITIALS.set(v_operatorName)
LOCATION.set(v_locationCode)
ASSEMBLAGE.set(t_assemblageName)
LOCATION_TEMPERATURE.set(f_locationTemperature)
DURATIONOFFIRING.set(i_durationOfFiring)
TEMPOFFIRING.set(i_temperatureOfFiring)
#print "d_dateTimeFiring: ",d_dateTimeFiring
if d_dateTimeFiring is not None:
try:
dt = datetime.strptime(d_dateTimeFiring, "%Y-%m-%d %H:%M:%S")
except:
dt = datetime.strptime(d_dateTimeFiring, "%m-%d-%y %H:%M")
DATEOFFIRING.set(dt.strftime("%m-%d-%y"))
TIMEOFFIRING.set(dt.strftime("%H:%M:%S"))
RUNINFOSTATUS.set("Please enter the required information to set up the run.")
setupGUI()
def setupGUI():
#################################
## GUI BUILD ####################
init.config(menu=menubar)
Label(init, text="Initials (e.g., CPL):").grid(row=1, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=INITIALS, width=3).grid(row=1, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Source Location (e.g., LMV):").grid(row=2, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=LOCATION, width=40).grid(row=2, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Name of Assemblage (e.g., Belle Meade):").grid(row=3, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=ASSEMBLAGE, width=40).grid(row=3, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Lifetime Effective Temperature (C):").grid(row=4, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=LOCATION_TEMPERATURE, width=6).grid(row=4, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Number of Samples (n):").grid(row=5, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=NUMBEROFSAMPLES, width=3).grid(row=5, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Notes:").grid(row=6, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=NOTES, width=60).grid(row=6, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Start Position (1-N):").grid(row=7, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=START_POSITION, width=3).grid(row=7, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Firing Temperature (C):").grid(row=8, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=TEMPOFFIRING, width=6).grid(row=8, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Start Date of Firing (mm-dd-yy):").grid(row=9, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=DATEOFFIRING, width=12).grid(row=9, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Start Time of Firing (HH:MM):").grid(row=10, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=TIMEOFFIRING, width=12).grid(row=10, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Firing Duration (m):").grid(row=11, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=DURATIONOFFIRING, width=6).grid(row=11, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Madge Tech Temperature (C):").grid(row=12, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=RHTEMP2000TEMP, width=8).grid(row=12, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Madge Tech Humidity (%RH):").grid(row=13, column=0, sticky=W, padx=2, pady=2)
Entry(init, text=RHTEMP2000HUMIDITY, width=8).grid(row=13, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Current Precision Temp (C):").grid(row=14, column=0, sticky=W, padx=2, pady=2)
Label(init, text=PRECISIONTEMP.get()).grid(row=14, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Current Humidity (%RH):").grid(row=15, column=0, sticky=W, padx=2, pady=2)
Label(init, text=HUMIDITY.get()).grid(row=15, column=1, sticky=W, padx=2, pady=2)
Label(init, text="Database filename to use:").grid(row=16, column=0, sticky=W, padx=2, pady=2)
Entry(init, textvariable=DATABASENAME, width=60).grid(row=16, column=1, sticky=W, padx=2, pady=2)
Button(init, text="Setup Run", command=go_setup).grid(row=17, column=2, sticky=W, padx=2, pady=2)
Button(init, text="Quit", command=quit_init).grid(row=17, column=0, sticky=W, padx=2, pady=2)
Label(init, textvariable=RUNINFOSTATUS).grid(row=18, column=0, sticky=W, padx=2, pady=2)
#################################
update_windows()
def go_setup():
status = "Setup"
logger.debug('go_setup: initialize function running. pre-weigh crucibles')
if DATEOFFIRING.get() is None or TIMEOFFIRING.get() is None or DURATIONOFFIRING.get() is None:
RUNINFOSTATUS.set(
"Date of firing, Time of firing and Duration of Firing are all required. Please enter these data.")
RESUBMIT.set("resubmission")
setupGUI()
standardTemp = float(RHTEMP2000TEMP.get())
standardRH = float(RHTEMP2000HUMIDITY.get())
## initially use the 0,0 as the correction to see what we need to adjust to match the MadgeTech 2000
## Note these are GLOBAL so that we can read the corrections when running the other stuff
temp = xyzRobot.getTemperature()
tempCorrection = standardTemp - temp
rhCorrection = standardRH - xyzRobot.getHumidity()
numberOfSamples = int(NUMBEROFSAMPLES.get())
startPosition = int(START_POSITION.get())
setInitials = INITIALS.get()
now = datetime.today()
today = now.strftime("%m-%d-%y %H:%M:%S")
#first create a new run so we have an ID.
runID = DataReadWrite.getLastRunID()
if runID is False:
logger.error("There has been an error since insertRun returned FALSE")
errorMessage("There has been a problem. Cannot find a run. Must set up measures ahead of time.")
return False
statustext = "Run ID is %d" % int(runID)
dt = datetime
datetimeOfFiring = DATEOFFIRING.get() + " " + TIMEOFFIRING.get()
try:
dt = datetime.strptime(datetimeOfFiring, "%m-%d-%y %H:%M")
except:
RUNINFOSTATUS.set("Date and time formats are incorrect. Reenter.")
return False
DataReadWrite.updateTempRHCorrection(tempCorrection, rhCorrection, runID)
DataReadWrite.updateRunInformation(int(NUMBEROFSAMPLES.get()), INITIALS.get(), LOCATION.get(), ASSEMBLAGE.get(),
float(LOCATION_TEMPERATURE.get()), NOTES.get(), runID)
DataReadWrite.updateRunInfoWithFiringInformation(dt, float(TEMPOFFIRING.get()), int(DURATIONOFFIRING.get()), runID)
logger.debug(statustext)
RUNID.set(int(runID))
CURRENTSAMPLE.set(1)
init.update()
go_setupPart2()
def go_setupPart2():
count = CURRENTSAMPLE.get()
if count > NUMBEROFSAMPLES.get():
quit_setup()
return True
runID = int(RUNID.get())
if runID < 1:
errorMessage("You must have a RunID to continue.")
logger.debug("You must have a RunID entered in order to continue.")
return False
setInitials = str(INITIALS.get())
setLocation = str(LOCATION.get())
numberOfSamples = int(NUMBEROFSAMPLES.get())
setHumidity = float(HUMIDITY.get())
locationTemperature = LOCATION_TEMPERATURE.get()
status = "prefire"
assemblage = ASSEMBLAGE.get()
value = DataReadWrite.updateRunPreFire(runID, setInitials, assemblage, setLocation, locationTemperature,
setHumidity,
status, numberOfSamples)
if value is False:
logger.error("There has been an error since updateRunPreFire returned FALSE")
errorMessage("There has been a problem.updateRunPreFire has returned FALSE.")
return False
setupCrucibles.deiconify()
setupCrucibles.wm_title("Crucible Entry")
#Create Menus
menubar = Menu(setupCrucibles)
#File Bar
filemenu = Menu(menubar, tearoff=0)
filemenu.add_command(label="New", command=restart_program)
filemenu.add_separator()
filemenu.add_command(label="Exit", command=KillProgram)
menubar.add_cascade(label="File", menu=filemenu)
#Help Menu
helpmenu = Menu(menubar, tearoff=0)
menubar.add_cascade(label="Help", menu=helpmenu)
#Display the Menus
setupCrucibles.config(menu=menubar)
crucibleWeight, crucibleStdDev, weightCount = DataReadWrite.getEmptyCrucible(count, runID)
CRUCIBLEWEIGHT.set(crucibleWeight)
CRUCIBLEWEIGHTSTDDEV.set(crucibleStdDev)
sherdWeight, sherdStdDev = DataReadWrite.getInitialSherd(count, runID)
INITIALWEIGHT.set(sherdWeight)
INITIALWEIGHTSTDDEV.set(sherdStdDev)
sherd105Weight, sherd105StdDev = DataReadWrite.getPreFireSherd(count, runID)
SAMPLEWEIGHT.set(sherd105Weight)
SAMPLEWEIGHTSTDDEV.set(sherd105StdDev)
sherd550Weight, sherd550StdDev = DataReadWrite.getPostFireSherd(count, runID)
POSTFIREWEIGHT.set(sherd550Weight)
POSTFIREWEIGHTSTDDEV.set(sherd550StdDev)
Label(setupCrucibles, text="CHECK AND VERIFY THESE VALUES").grid(row=0, column=0, sticky=W)
Label(setupCrucibles, text="Mean").grid(row=2, column=1, sticky=W)
Label(setupCrucibles, text="StdDev").grid(row=2, column=2, sticky=W)
Label(setupCrucibles, text="Current Sample Number").grid(row=1, column=0, sticky=W)
Entry(setupCrucibles, textvariable=CURRENTSAMPLE).grid(row=1, column=1, sticky=W)
ctext = "Crucible #" + str(count) + " Empty Weight (g)"
Label(setupCrucibles, text=ctext).grid(row=3, column=0, sticky=W)
Entry(setupCrucibles, textvariable=CRUCIBLEWEIGHT).grid(row=3, column=1, sticky=W)
Entry(setupCrucibles, textvariable=CRUCIBLEWEIGHTSTDDEV).grid(row=3, column=2, sticky=W)
smtext = "Sample #" + str(count) + " Initial weight of sherd (g):"
Label(setupCrucibles, text=smtext).grid(row=4, column=0, sticky=W)
Entry(setupCrucibles, textvariable=INITIALWEIGHT).grid(row=4, column=1, sticky=W)
Entry(setupCrucibles, textvariable=INITIALWEIGHTSTDDEV).grid(row=4, column=2, sticky=W)
smtext = "Sample #" + str(count) + " 105 degree weight of sherd (g): "
Label(setupCrucibles, text=smtext).grid(row=5, column=0, sticky=W)
Entry(setupCrucibles, textvariable=SAMPLEWEIGHT).grid(row=5, column=1, sticky=W)
Entry(setupCrucibles, textvariable=SAMPLEWEIGHTSTDDEV).grid(row=5, column=2, sticky=W)
sftext = "Sample #" + str(count) + " Post-Fire Weight of sherd (g):"
Label(setupCrucibles, text=sftext).grid(row=6, column=0, sticky=W)
Entry(setupCrucibles, textvariable=POSTFIREWEIGHT).grid(row=6, column=1, sticky=W)
Entry(setupCrucibles, textvariable=POSTFIREWEIGHTSTDDEV).grid(row=6, column=2, sticky=W)
Button(setupCrucibles, text="Submit Weight Data for Sample/Crucible", command=updateCrucibleAndSample).grid(row=7,
column=0,
sticky=W,
padx=2,
pady=2)
Button(setupCrucibles, text="End (No more samples)", command=quit_setup).grid(row=7, column=1, sticky=W, padx=2,
pady=2)
update_windows()
def updateCrucibleAndSample():
setupCrucibles.withdraw()
runID = RUNID.get()
now = datetime.today()
today = now.strftime("%m-%d-%y %H:%M:%S")
position = CURRENTSAMPLE.get()
preOrPost = 1
setInitials = str(INITIALS.get())
startPosition = int(START_POSITION.get())
setName = str(NAME.get())
setLocation = str(LOCATION.get())
numberOfSamples = int(NUMBEROFSAMPLES.get())
setTemperature = float(PRECISIONTEMP.get())
setHumidity = float(HUMIDITY.get())
standardTemp = float(RHTEMP2000TEMP.get())
standardRH = float(RHTEMP2000HUMIDITY.get())
initialSherdWeight = float(INITIALWEIGHT.get())
initialSherdWeightStdDev = float(INITIALWEIGHTSTDDEV.get())
status = "prefire"
value = DataReadWrite.updateCrucible(position, CRUCIBLEWEIGHT.get(),
CRUCIBLEWEIGHTSTDDEV.get(), RHTEMP2000TEMP.get(), 0.0,
RHTEMP2000HUMIDITY.get(),
0.0, today, runID, position)
if value is False:
errorMessage("updateCrucible returned an error")
return False
prefireSampleWeight = SAMPLEWEIGHT.get()
prefireSampleWeightStdDev = SAMPLEWEIGHTSTDDEV.get()
value = DataReadWrite.updateSamplePreFire(runID, position, initialSherdWeight, initialSherdWeightStdDev,
prefireSampleWeight, prefireSampleWeightStdDev, RHTEMP2000TEMP.get(), 0.0,
RHTEMP2000HUMIDITY.get(), 0.0)
if value is False:
errorMessage("You must have a RunID to continue: updateSamplePrefire returned an error")
return False
postfireSampleWeight = POSTFIREWEIGHT.get()
postfireSampleWeightStdDev = POSTFIREWEIGHTSTDDEV.get()
value = DataReadWrite.updateSamplePostFireWeight(runID, position, postfireSampleWeight, postfireSampleWeightStdDev)
CURRENTSAMPLE.set(position + 1)
root.update()
go_setupPart2()
def quit_setup():
init.withdraw()
setupCrucibles.withdraw()
logger.debug("Setup is done ")
DataReadWrite.closeDatabase()
root.update()
root.deiconify()
return True
def backToMainWindowFromMoveArm():
"""
backToMainWinodwFromMoveArm destroys the moveArm window and brings the root back to focus.
"""
#moveArm.withdraw()
root.deiconify()
return True
def backToMainWindow():
"""
backToMainWindow() removes other windows and bring the root window to the focus
"""
root.update()
root.deiconify()
return True
def postFire():
logger.debug("Now running postFire function")
preOrPost = 2
status = "Post-fired"
root.withdraw()
postfire.deiconify()
postfire.wm_title("Post-Fire")
## first go home!
xyzRobot.goHome()
setMotorXToZero()
setMotorYToZero()
setAbsZeroXY()
#Create Menus
menubar = Menu(postfire)
#File Bar
filemenu = Menu(menubar, tearoff=0)
filemenu.add_command(label="New", command=restart_program)
filemenu.add_separator()
filemenu.add_command(label="Exit", command=KillProgram)
menubar.add_cascade(label="File", menu=filemenu)
#Help Menu
helpmenu = Menu(menubar, tearoff=0)
menubar.add_cascade(label="Help", menu=helpmenu)
#Display the Menus
init.config(menu=menubar)
dbfilename = easygui.fileopenbox(msg='Open file for this set of samples.', title='Open Database',
default="C:/Users/Archy/Dropbox/Rehydroxylation/Logger/Data/*.sqlite",
filetypes='*.sqlite')
if dbfilename is None:
return
DATABASENAME.set(dbfilename)
value = DataReadWrite.openDatabase(dbfilename)
if value is False:
logger.error("There has been an error since openDatabase returned FALSE")
errorMessage("There has been a problem. Cannot open database")
return False
RHTEMP2000TEMP.set(xyzRobot.getTemperature())
RHTEMP2000HUMIDITY.set(xyzRobot.getHumidity())
PRECISIONTEMP.set(xyzRobot.getTemperature())
HUMIDITY.set(xyzRobot.getHumidity())
RUNID.set(1)
t_assemblageName = str
v_locationCode = str
i_numberOfSamples = int
f_locationTemperature = float
f_locationHumidity = float
d_dateTimefiring = datetime
i_durationOfFiring = int
i_temperatureOfFiring = int
v_operatorName = str
try:
(v_locationCode, i_numberOfSamples, t_assemblageName, f_locationTemperature, f_locationHumidity,
d_dateTimeFiring, i_durationOfFiring, i_temperatureOfFiring, v_operatorName,
t_notes) = DataReadWrite.getRunInfo(
1)
except:
logger.error("There has been an error since DataReadWrite.getRunInfo(1) returned FALSE")
errorMessage("There has been a problem with getRunInfo. Cannot read database")
return False
NUMBEROFSAMPLES.set(i_numberOfSamples)
TEMP.set(f_locationTemperature)
LOCATION_TEMPERATURE.set(f_locationTemperature)
LOCATION.set(v_locationCode)
ASSEMBLAGE.set(t_assemblageName)
INITIALS.set(v_operatorName)
NOTES.set(t_notes)
(numberOfSamples, duration, interval, repetitions) = DataReadWrite.getPostfireAttributes()
if duration is None:
duration = int(60 / numberOfSamples)
if interval is None or interval == 0:
interval = 5
if repetitions is None:
repetitions = 4 * 24
START_POSITION.set(1)
DURATION.set(duration)
INTERVAL.set(interval)
REPS.set(repetitions)
#################################
#################################
Label(postfire, text="Location:").grid(row=0, column=0, sticky=W, padx=2, pady=2)
Label(postfire, text=LOCATION.get()).grid(row=0, column=1, sticky=W, padx=2, pady=2)
Label(postfire, text="Assemblage:").grid(row=1, column=0, sticky=W, padx=2, pady=2)
Label(postfire, text=ASSEMBLAGE.get()).grid(row=1, column=1, sticky=W, padx=2, pady=2)
Label(postfire, text="Effective Lifetime Temperature (C):").grid(row=2, column=0, sticky=W, padx=2, pady=2)
Label(postfire, text=LOCATION_TEMPERATURE.get()).grid(row=2, column=1, sticky=W, padx=2, pady=2)
Label(postfire, text="Number of samples (e.g., 3):").grid(row=3, column=0, sticky=W, padx=2, pady=2)
Label(postfire, text=NUMBEROFSAMPLES.get()).grid(row=3, column=1, sticky=W, padx=2, pady=2)
Label(postfire, text="Starting position (e.g., 1):").grid(row=4, column=0, sticky=W)
Entry(postfire, textvariable=START_POSITION, width=3).grid(row=4, column=1, sticky=W)
Label(postfire, text="Duration of measurements per cycle (min):").grid(row=10, column=0, sticky=W, padx=2, pady=2)
Entry(postfire, textvariable=DURATION, width=4).grid(row=10, column=1, sticky=W, padx=2, pady=2)
Label(postfire, text="Sampling interval for weight measurements in seconds (e.g., 5):").grid(row=11, column=0,
sticky=W, padx=2,
pady=2)
Entry(postfire, textvariable=INTERVAL, width=3).grid(row=11, column=1, sticky=W, padx=2, pady=2)
Label(postfire, text="Cycles (e.g., 10):").grid(row=12, column=0, sticky=W, padx=2, pady=2)
Entry(postfire, textvariable=REPS, width=3).grid(row=12, column=1, sticky=W, padx=2, pady=2)
Label(postfire, text="Set temperature of RHX chamber (C):").grid(row=13, column=0, sticky=W, padx=2, pady=2)
Entry(postfire, textvariable=TEMP, width=15).grid(row=13, column=1, sticky=W, padx=2, pady=2)
Label(postfire, text="Set RH% of RHX chamber (%RH):").grid(row=14, column=0, sticky=W, padx=2, pady=2)
Entry(postfire, textvariable=HUMIDITY, width=15).grid(row=14, column=1, sticky=W, padx=2, pady=2)
Label(postfire, text="Enter Madge Tech Temperature (C)):").grid(row=15, column=0, sticky=W, padx=2, pady=2)
Entry(postfire, textvariable=RHTEMP2000TEMP, width=15).grid(row=15, column=1, sticky=W, padx=2, pady=2)
Label(postfire, text="Enter Madge Tech Humidity (%RH):").grid(row=16, column=0, sticky=W, padx=2, pady=2)
Entry(postfire, text=RHTEMP2000HUMIDITY, width=15).grid(row=16, column=1, sticky=W, padx=2, pady=2)
Label(postfire, text="Current Temperature of Chamber (C):").grid(row=17, column=0, sticky=W)
Label(postfire, text=PRECISIONTEMP.get()).grid(row=17, column=1, sticky=W)
Label(postfire, text="Current Humidity of Chamber (%RH):").grid(row=18, column=0, sticky=W)
Label(postfire, text=HUMIDITY.get()).grid(row=18, column=1, sticky=W)
Label(postfire, text="Operator Initials (e.g., CPL):").grid(row=21, column=0, sticky=W, padx=2, pady=2)
Entry(postfire, textvariable=INITIALS.get(), width=4).grid(row=21, column=1, sticky=W, padx=2, pady=2)
Button(postfire, text="Start Post Fire", command=go_postFire).grid(row=22, column=1, padx=2, pady=2)
Button(postfire, text="Quit", command=quit_postfire).grid(row=22, column=0, padx=0, pady=2)
#########################
update_windows()
def quit_postfire():
root.deiconfiy()
DataReadWrite.closeDatabase()
postfire.withdraw()
def go_postFire():
runID = int(RUNID.get())
if runID < 1:
errorMessage("You must have a RunID to continue.")
logger.debug("You must have a RunID entered in order to continue.")
return False
message = "You are going to run %d samples. Have you set up and weighed %d empty crucibles yet? If not, hit cancel. Otherwise, continue. " % (
NUMBEROFSAMPLES.get(), NUMBEROFSAMPLES.get())
if easygui.ccbox(msg=message, title='Check for empty crucibles'):
pass
else:
return
setInitials = str(INITIALS.get())
duration = int(DURATION.get())
setTemperature = float(LOCATION_TEMPERATURE.get())
setHumidity = float(HUMIDITY.get())
standardTemp = float(RHTEMP2000TEMP.get())
standardRH = float(RHTEMP2000HUMIDITY.get())
temp = xyzRobot.getTemperature()
tempCorrection = standardTemp - temp
rhCorrection = standardRH - xyzRobot.getHumidity()
preOrPost = 2
status = "postfire"
numberOfSamples = NUMBEROFSAMPLES.get()
startPosition = START_POSITION.get()
intervalsec = int(INTERVAL.get())
postMeasurementTimeInterval = int(DURATION.get())
repetitions = int(REPS.get())
value = DataReadWrite.updateRunPostFire(runID, status, postMeasurementTimeInterval, duration, repetitions,
intervalsec, setHumidity)
if value is False:
logger.error("There has been an error since updateRunPostFire returned FALSE")
errorMessage("There has been a problem with updateRunPostFire")
return False
d_dateTimeFiring = datetime
try:
(v_locationCode, i_numberOfSamples, t_assemblageName, f_locationTemperature, f_locationHumidity,
d_dateTimeFiring, i_durationOfFiring, i_temperatureOfFiring, v_operatorName,
t_notes) = DataReadWrite.getRunInfo(
1)
except:
logger.error("There has been an error since DataReadWrite.getRunInfo(1) returned FALSE")
errorMessage("There has been a problem with getRunInfo. Cannot read database")
return False
print "Date of Firing: ", d_dateTimeFiring
dt = datetime
try:
dt = datetime.strptime(d_dateTimeFiring, "%Y-%m-%d %H:%M:%S")
except:
errorMessage("There has been a problem. The time/date for firing is not correct.")
RUNINFOSTATUS.set("Date and/or time formats are incorrect. Reenter.")
print "There is a problem with the date format..."
return False
end = timedelta(minutes=int(DURATIONOFFIRING.get()))
endOfFiring = dt + end
timeToCompletion = ((duration * numberOfSamples) + numberOfSamples) * repetitions
end = timedelta(minutes=timeToCompletion)
now = datetime.today()
endOfRunTime = now + end
endOfRun = endOfRunTime.strftime("%m-%d-%y %H:%M:%S")
print "This run will end ca. ", endOfRun
count = 0
repeat = 1
CYCLE.set(repeat)
while repeat < (repetitions + 1):
root.update()
CYCLE.set(repeat)
xyzRobot.weighAllSamplesPostFire(runID, duration,
intervalsec, numberOfSamples, startPosition,
endOfFiring, tempCorrection, rhCorrection, repeat,
robotStatus, SAMPLE_POSITION, MCOUNT,
CURRENTSTEP, STATUS, DURATION,
LOGGERINTERVAL, RUNID, NUMBEROFSAMPLES,
TIMEREMAINING, TIMEELAPSEDMIN, REPS, CYCLE)
repeat += 1
update_windows()
root.update()
root.deiconify()
postfire.withdraw()
value = DataReadWrite.closeDatabase()
communication.sendEmail("RHX Status Change", "Postfire is complete!")
## now go home!
xyzRobot.goHome()
update_windows()
return True
def moveMotorX():
logger.debug("moveMotorX to %i", int(XMOTORPOSITION.get()))
xyzRobot.moveMotorXToPosition(int(XMOTORPOSITION.get()))
POSITION_NAME.set("UNKNOWN")
sleep(2)
logger.debug(
"now located at x: %d y: %d z: %d" % (
xyzRobot.getXPosition(), xyzRobot.getYPosition(), xyzRobot.getZPosition()))
DataReadWrite.updatePosition(xyzRobot.getXPosition(), xyzRobot.getYPosition(), xyzRobot.getZPosition())
update_windows()
return True
def moveMotorY():
logger.debug("moveMotorY to %i", int(YMOTORPOSITION.get()))
xyzRobot.moveMotorYToPosition(int(YMOTORPOSITION.get()))
POSITION_NAME.set("UNKNOWN")
sleep(2)
logger.debug(
"now located at x: %d y: %d z: %d" % (
xyzRobot.getXPosition(), xyzRobot.getYPosition(), xyzRobot.getZPosition()))
DataReadWrite.updatePosition(xyzRobot.getXPosition(), xyzRobot.getYPosition(), xyzRobot.getZPosition())
update_windows()
return True
def setMotorXToZero():
logger.debug("setMotorXToZero")
xyzRobot.setXMotorPosition(0)
XMOTORPOSITION.set("0")
update_windows()
return True
def setMotorYToZero():
logger.debug("setMotorYToZero")
xyzRobot.setYMotorPosition(0)
YMOTORPOSITION.set("0")
update_windows()
return True
def setMotorsToZero(motorNumber):
logger.debug("setMotorsToZero: %d", motorNumber)
if motorNumber == 0:
xyzRobot.setXMotorPosition(0)
XMOTORPOSITION.set("0")
elif motorNumber == 2:
xyzRobot.setYMotorPosition(0)
YMOTORPOSITION.set("0")
else:
logger.critical("Error - no such motor number: %d ", motorNumber)
POSITION_NAME.set("HOME")
update_windows()
return True
def moveArmToPosition():
logger.debug("moveArmToPosition: %d", int(ZMOTORPOSITION.get()))
xyzRobot.moveArmToPosition(int(ZMOTORPOSITION.get()))
update_windows()
return True
def bumpXMotorUp():
logger.debug("bumpXMotorUp: %d", int(MOTORSTEP.get()))
xyzRobot.bumpXMotorUp(int(MOTORSTEP.get()))
update_windows()
def bumpYMotorRight():
logger.debug("bumpYMotorRight: %d", int(MOTORSTEP.get()))
xyzRobot.bumpYMotorRight(int(MOTORSTEP.get()))
update_windows()
def bumpYMotorLeft():
logger.debug("bumpYMotorLeft: %d", int(MOTORSTEP.get()))
xyzRobot.bumpYMotorLeft(int(MOTORSTEP.get()))
update_windows()
def bumpXMotorDown():
logger.debug("bumpXMotorDown: %d", int(MOTORSTEP.get()))
xyzRobot.bumpXMotorDown(int(MOTORSTEP.get()))
update_windows()
def bumpMotorNE():
logger.debug("bumpMotorNE")
logger.debug("bumpXMotorUp: %d", int(MOTORSTEP.get()))
xyzRobot.bumpXMotorUp(int(MOTORSTEP.get()))
logger.debug("bumpYMotorLeft: %d", int(MOTORSTEP.get()))
xyzRobot.bumpYMotorLeft(int(MOTORSTEP.get()))
update_windows()
def bumpMotorNW():
logger.debug("bumpMotorNW")
logger.debug("bumpXMotorUp: %d", int(MOTORSTEP.get()))
xyzRobot.bumpXMotorUp(int(MOTORSTEP.get()))
#update_windows()
logger.debug("bumpYMotorRight: %d", int(MOTORSTEP.get()))
xyzRobot.bumpYMotorRight(int(MOTORSTEP.get()))
update_windows()
def bumpMotorSE():
logger.debug("bumpMotorSE")
logger.debug("bumpXMotorDown: %d", int(MOTORSTEP.get()))
xyzRobot.bumpXMotorDown(int(MOTORSTEP.get()))
#update_windows()
logger.debug("bumpYMotorRight: %s", int(MOTORSTEP.get()))
xyzRobot.bumpYMotorRight(int(MOTORSTEP.get()))
update_windows()
def bumpMotorSW():
logger.debug("bumpMotorSW")
logger.debug("bumpXMotorDown: %d", int(MOTORSTEP.get()))
xyzRobot.bumpXMotorDown(int(MOTORSTEP.get()))
#update_windows()
logger.debug("bumpYMotorLeft: %d", int(MOTORSTEP.get()))
xyzRobot.bumpYMotorLeft(int(MOTORSTEP.get()))
update_windows()
def bumpZMotorUp():
logger.debug("bumpZMotorUp")
logger.debug("bumpZMotorUp: %d", int(ZMOTORSTEP.get()))
if int(ZMOTORSTEP.get()) > 100000:
print "Too dangerous to move that far up in one move. Ignoring..."
else:
xyzRobot.bumpZMotorUp(int(ZMOTORSTEP.get()))
update_windows()
def bumpZMotorDown():
logger.debug("bumpZMotorDown")
logger.debug("bumpZMotorDown: %d", int(ZMOTORSTEP.get()))
if int(ZMOTORSTEP.get()) > 100000:
print "Too dangerous to move that far down in one move. Ignoring..."
else:
# print ("bumpZMotorDown")
#print ("bumpZMotorDown: %d",int(ZMOTORSTEP.get()))
xyzRobot.bumpZMotorDown(int(ZMOTORSTEP.get()))
update_windows()
def lowerArmToSample():
xyzRobot.lowerArmToSample()
ARM_STATUS.set("SAMPLE")
update_windows()
def raiseArmToTop():
xyzRobot.raiseArmToTop()
ARM_STATUS.set("TOP")
update_windows()
def lowerArmToBalance():
(xpos, ypos) = xyzRobot.getCurrentXYCoordinates()
(bal_xpos, bal_ypos) = DataReadWrite.getXYCoordinatesForInsideBalance()
if ypos < (bal_ypos - 300):
## we are not on the balance so we cannot descend.
print "Error: we are not in a position to descend. Please move to the balance."
else:
xyzRobot.lowerArmToBalance()
ARM_STATUS.set("BALANCE")
update_windows()
def goHome():
logger.debug("goHome: Go to Home Position")
value = xyzRobot.goHome()
if value == False:
print "There has been an error going home -- we have not zero'd on one of the axes. Quitting."
quit()
SAMPLE_POSITION.set(0)
XMOTORPOSITION.set(xyzRobot.getXMotorPosition())
YMOTORPOSITION.set(xyzRobot.getYMotorPosition())
ZMOTORPOSITION.set(xyzRobot.getZMotorPosition())
XZERO.set(xyzRobot.atXZero())
YZERO.set(xyzRobot.atYZero())
ZZERO.set(xyzRobot.atZZero())
sleep(1)
if xyzRobot.atXZero() == "TRUE":
XZERO.set("TRUE")
XMOTORPOSITION.set(0)
ARM_STATUS.set("TOP")
value = xyzRobot.setXMotorPosition(0)
value = xyzRobot.setXCoordinate(0)
if xyzRobot.atYZero() == "TRUE":
YZERO.set("TRUE")
YMOTORPOSITION.set(0)
value = xyzRobot.setYMotorPosition(0)
value = xyzRobot.setYCoordinate(0)
if xyzRobot.atZZero() == "TRUE":
ZZERO.set("TRUE")
ZMOTORPOSITION.set(0)
value = xyzRobot.setZMotorPosition(0)
value = xyzRobot.setZCoordinate(0)
POSITION_NAME.set("HOME")
update_windows()
def turnLightOn():
logger.debug("turnLightOn")
xyzRobot.turnLightOn()
LIGHTSTATUS.set("ON")
update_windows()
def turnLightOff():
logger.debug("turnLightOff")
xyzRobot.turnLightOff()
LIGHTSTATUS.set("OFF")
update_windows()
def openGripper():
logger.debug("openGripper: Open gripper")
xyzRobot.openGripper()
GRIPPERPOSITION.set("OPEN - DISENGAGED")
update_windows()
def closeGripper():
logger.debug("closeGripper: Close gripper")
xyzRobot.closeGripper()
GRIPPERPOSITION.set("CLOSED - ENGAGED")
update_windows()
def BZero():
logger.debug("BZero: Zero the balance")
DataReadWrite.BZero()
update_windows()
def openBalanceDoor():
logger.debug("openBalanceDoor: Open the balance door")
DataReadWrite.openBalanceDoor()
BALANCEDOOR.set("OPEN")
update_windows()
def closeBalanceDoor():
logger.debug("closeBalanceDoor: Close the balance door")
(xpos, ypos) = xyzRobot.getCurrentXYCoordinates()
(bal_xpos, bal_ypos) = DataReadWrite.getXYCoordinatesForOutsideBalance()
if ypos <= bal_ypos:
DataReadWrite.closeBalanceDoor()
BALANCEDOOR.set("CLOSED")
else:
logger.warn("Cannot close door. Arm is inside balance.")
#update_windows()
update_windows()
def goToPosition():
pos = SAMPLE_POSITION.get()
if pos > MAXPOSITIONS.get():
update_windows()
return
else:
POSITION_NAME.set("SAMPLE")
logger.debug("goToPosition: Go to position: %i", int(pos))
xyzRobot.goToSamplePosition(int(pos), startWindow=1)
update_windows()
def refine():
pos = SAMPLE_POSITION.get()
if pos < MAXPOSITIONS.get() + 1:
logger.debug("refine sample position: %i", int(pos))
xyzRobot.refineSamplePosition(pos)
elif pos == INSIDE_BALANCE_POSITION:
logger.debug("refine inside balance position: %i", int(pos))
xyzRobot.refineInsideBalancePosition()
else:
pass
update_windows()
def goToBalance():
SAMPLE_POSITION.set(INSIDE_BALANCE_POSITION)
logger.debug("goToBalance: Go to point outside of balance")
xyzRobot.goToOutsideBalanceFromOutside()
POSITION_NAME.set("OUTSIDE_BALANCE")
#make sure balance door is open
openBalanceDoor()
BALANCEDOOR.set("OPEN")
#update_windows()
logger.debug("Go to inside of balance")
SAMPLE_POSITION.set(OUTSIDE_BALANCE_POSITION)
POSITION.set(OUTSIDE_BALANCE_POSITION)
xyzRobot.goToInsideBalanceFromOutside()
POSITION_NAME.set("INSIDE_BALANCE")
POSITION.set(INSIDE_BALANCE_POSITION)
update_windows()
def getSampleFromBalance():
logger.debug("getSampleFromBalance: %d", SAMPLENUM.get())
sampleNum = SAMPLENUM.get()
if sampleNum < 1:
errorMessage("You must enter a sample number to continue.")
logger.warning("You must have a sample number in order to continue.")
return False
else:
xyzRobot.goToOutsideBalanceFromOutside()
SAMPLE_POSITION.set(OUTSIDE_BALANCE_POSITION)
POSITION.set(OUTSIDE_BALANCE_POSITION)
POSITION_NAME.set("OUTSIDE_BALANCE")
openBalanceDoor()
BALANCEDOOR.set("CLOSED")
val = xyzRobot.goToInsideBalanceFromOutside()
POSITION_NAME.set("INSIDE_BALANCE")
SAMPLE_POSITION.set(INSIDE_BALANCE_POSITION)
POSITION.set(INSIDE_BALANCE_POSITION)
val = xyzRobot.pickUpSampleFromBalance()
val = xyzRobot.goToOutsideBalanceFromInside()
POSITION_NAME.set("OUTSIDE_BALANCE")
SAMPLE_POSITION.set(OUTSIDE_BALANCE_POSITION)
POSITION.set(OUTSIDE_BALANCE_POSITION)
closeBalanceDoor()
BALANCEDOOR.set("CLOSED")
val = xyzRobot.goHome()
POSITION_NAME.set("HOME")
SAMPLE_POSITION.set(0)
POSITION.set(0)
val = xyzRobot.goToSamplePosition(sampleNum, startWindow=1)
POSITION_NAME.set("SAMPLE")
SAMPLE_POSITION.set(sampleNum)
POSITION.set(sampleNum)
val = xyzRobot.samplePutDown()
val = xyzRobot.goHome()
POSITION_NAME.set("HOME")
POSITION.set(0)
SAMPLE_POSITION.set(0)
update_windows()
return True
def fileDialog():
dirname = tkFileDialog.askdirectory(parent=root, initialdir="/Users/Archy/Dropbox/Rehydroxylation/",
title="Pick a directory ...")
update_windows()
return True
def findHome():
logger.debug("first find zero on the X axis")
xyzRobot.moveXUntilZero()
logger.debug("first find zero on the Y axis")
xyzRobot.moveYUntilZero()
logger.debug("Now reset motors to Zero")
xyzRobot.resetXYValuesToZero()
POSITION_NAME.set("HOME")
SAMPLE_POSITION.set(0)
POSITION.set(0)
update_windows()
return True
def setAbsZeroXY():
sampleLocation = SAMPLE_POSITION.get()
position = POSITION.get()
t = (sampleLocation, position)
message = "Check that the arm is in the HOME Position. If okay, I will set HOME position to this spot."
message += "I am currently at %s and position number %d." % t
if xyzRobot.atXZero() == "TRUE" and xyzRobot.atYZero() == "TRUE":
message += " Note that the X and Y sensors are NOT both TRUE. Are you absolutely certain? "
value = are_you_sure(message)
if value is True:
SAMPLE_POSITION.set(HOME)
POSITION_NAME.set("HOME")
POSITION.set(HOME)
XMOTORPOSITION.set(HOME)
YMOTORPOSITION.set(HOME)
returnValue = xyzRobot.setAbsZeroXY()
update_windows()
return True
else:
return False
def setXYForSampleLocation():
sampleLocation = SAMPLE_POSITION.get()
message = "Set the XY for sample position: %d " % sampleLocation
value = are_you_sure(message)
if value is True:
x = int(xyzRobot.getXPosition())
y = int(xyzRobot.getYPosition())
value = DataReadWrite.updateXYForSampleLocation(sampleLocation, x, y)
xD, yD = xyzRobot.getCurrentXYCoordinates()
value = DataReadWrite.updateXYCoordinatesForSampleLocation(sampleLocation, xD, yD)
update_windows()
return value
return False
def setZForSampleLocation():
sampleZPosition = ZMOTORPOSITION.get()
message = "Set Z position for samples to %s?" % sampleZPosition
value = are_you_sure(message)
if value is True:
sampleLocation = SAMPLE_POSITION.get()
value = DataReadWrite.updateZForSampleLocation(sampleLocation, sampleZPosition)
update_windows()
return value
return False
def setZForBalanceLocation():
balanceZPosition = ZMOTORPOSITION.get()
message = "Set the Z position for the balance %s?" % balanceZPosition
value = are_you_sure(message)
if value is True:
value = DataReadWrite.updateZForBalanceLocation(balanceZPosition)
update_windows()
return value
return False
def setXYForAllLocations():
message = "Set the X: %d Y: %d values for all locations?"
value = are_you_sure(message)
if value is True:
sampleLocation = SAMPLE_POSITION.get()
originalX = 0
originalY = 0
(originalX, originalY) = DataReadWrite.getXYForSampleLocation(sampleLocation)
x = int(xyzRobot.getXPosition())
y = int(xyzRobot.getYPosition())
diffX = originalX - x
diffY = originalY - y
pos = sampleLocation
value = DataReadWrite.updateXYForSampleLocation(sampleLocation, x, y)
while pos < MAXPOSITIONS.get() + 1:
(originalX, originalY) = DataReadWrite.getXYForSampleLocation(pos)
newX = originalX - diffX
newY = originalY - diffY
value = DataReadWrite.updateXYForSampleLocation(pos, newX, newY)
pos += 1
update_windows()
return value
return False
def setXYForInsideBalance():
message = "Set the Inside Balance point here?"
value = are_you_sure(message)
if value is True:
x = int(xyzRobot.getXPosition())
y = int(xyzRobot.getYPosition())
value = DataReadWrite.updateXYForInsideBalance(x, y)
xC, yC = xyzRobot.getCurrentXYCoordinates()
DataReadWrite.updateXYCoordinatesForInsideBalance(xC, yC)
update_windows()
return value
return False
def setXYForOutsideBalance():
message = "Set the Outside Balance point here?"
value = are_you_sure(message)
if value is True:
x = int(xyzRobot.getXPosition())
y = int(xyzRobot.getYPosition())
value = DataReadWrite.updateXYForOutsideBalance(x, y)
xC, yC = xyzRobot.getCurrentXYCoordinates()
DataReadWrite.updateXYCoordinatesForOutsideBalance(xC, yC)
update_windows()
return value
return False
def moveToNextSampleLocation():
sampleLocation = int(SAMPLE_POSITION.get())
## first go home to set the position to ZERO then move to the point...
xyzRobot.goHome()
POSITION_NAME.set("HOME")
##print("Now at position %d" % (sampleLocation))
sampleLocation += 1
SAMPLE_POSITION.set(sampleLocation)
POSITION_NAME.set("SAMPLE")
POSITION.set(sampleLocation)
value = 0
if sampleLocation > MAXPOSITIONS.get():
sampleLocation = 1
##print("Moving to position %d" % (sampleLocation))
SAMPLE_POSITION.set(sampleLocation)
goToPosition()
POSITION_NAME.set("SAMPLE")
update_windows()
return True
def resetZMotorToZeroPosition():
xyzRobot.resetZMotorToZeroPosition()
update_windows()
return True
def resetZToZero():
xyzRobot.resetZToZero()
update_windows()
return True
def goToOutsideBalance():
xyzRobot.goToOutsideBalanceFromOutside()
POSITION_NAME.set("OUTSIDE_BALANCE")
SAMPLE_POSITION.set(OUTSIDE_BALANCE_POSITION)
POSITION.set(OUTSIDE_BALANCE_POSITION)
update_windows()
return True
def goToInsideBalance():
xyzRobot.goToOutsideBalanceFromOutside()
POSITION_NAME.set("OUTSIDE_BALANCE")
SAMPLE_POSITION.set(OUTSIDE_BALANCE_POSITION)
POSITION.set(OUTSIDE_BALANCE_POSITION)
update_windows()
xyzRobot.goToInsideBalanceFromOutside()
POSITION_NAME.set("INSIDE_BALANCE")
POSITION.set(INSIDE_BALANCE_POSITION)
update_windows()
SAMPLE_POSITION.set(INSIDE_BALANCE_POSITION)
return True
def setOutsideBalance():
setXYForOutsideBalance()
POSITION_NAME.set("OUTSIDE_BALANCE")
SAMPLE_POSITION.set(OUTSIDE_BALANCE_POSITION)
POSITION.set(OUTSIDE_BALANCE_POSITION)
update_windows()
return True
def setInsideBalance():
setXYForInsideBalance()
POSITION_NAME.set("INSIDE_BALANCE")
SAMPLE_POSITION.set(INSIDE_BALANCE_POSITION)
POSITION.set(INSIDE_BALANCE_POSITION)
update_windows()
return True
def checkEachSamplePosition():
print "Ill only check the first 5 sample locations"
sampleLocation = 1
print "First, go home."
value = xyzRobot.goHome()
POSITION_NAME.set("HOME")
POSITION.set(HOME)
SAMPLE_POSITION(HOME)
print "make sure gripper is open..."
value = xyzRobot.openGripper()
GRIPPERPOSITION.set("OPEN - DISENGAGED")
while sampleLocation < MAXPOSITIONS.get() + 1:
print "Going to location: ", sampleLocation
value = xyzRobot.goToSamplePosition(sampleLocation, startWindow=1)
POSITION_NAME.set("SAMPLE")
POSITION.set(sampleLocation)
SAMPLE_POSITION.set(sampleLocation)
print "Lower arm to sample"
value = xyzRobot.lowerArmToSample()
ARM_STATUS.set("SAMPLE")
print "Close gripper"
value = xyzRobot.closeGripper()
GRIPPERPOSITION.set("CLOSED - ENGAGED")
print "Open gripper"
value = xyzRobot.openGripper()
GRIPPERPOSITION.set("OPEN - DISENGAGED")
print "Raise arm to top"
value = xyzRobot.raiseArmToTop()
ARM_STATUS.set("TOP")
print "Next..."
sampleLocation += 1
print "Now go home"
value = xyzRobot.goHome()
POSITION_NAME.set("HOME")
POSITION.set(HOME)
SAMPLE_POSITION.set(HOME)
print "Done."
update_windows()
def visitEachSampleLocation():
"""
visitEachSampleLocation() function will move the robot arm to each location one at a time. It'll pause at each location and ask whether
the location is good. Then it will allow one to "bump" the location one direction or another. One can then "save" the
new location. This will require switching the locations of the crucibles to the XY database.
"""
xyzRobot.goHome()
SAMPLE_POSITION.set(HOME)
POSITION.set(HOME)
POSITION_NAME.set("HOME")
sampleLocation = 1
if sampleLocation > 0:
value = xyzRobot.goToSamplePosition(sampleLocation, 1)
POSITION_NAME.set("SAMPLE")
POSITION.set(sampleLocation)
SAMPLE_POSITION.set(sampleLocation)
if value is False:
errorMessage("There was a problem going to position 1.")
return False
moveArm.deiconify()
SAMPLE_POSITION.set(sampleLocation)
POSITION.set(sampleLocation)
Button(moveArm, text="+X Axis", command=bumpXMotorUp).grid(row=1, column=1)
Button(moveArm, text="-Y Axis", command=bumpYMotorLeft).grid(row=2, column=0, sticky=E)
Button(moveArm, text="+Y Axis", command=bumpYMotorRight).grid(row=2, column=2, sticky=W)
Button(moveArm, text="-X Axis", command=bumpXMotorDown).grid(row=3, column=1)
Button(moveArm, text="NE", command=bumpMotorNE).grid(row=1, column=0, sticky=E)
Button(moveArm, text="NW", command=bumpMotorNW).grid(row=1, column=2, sticky=W)
Label(moveArm, textvariable=POSITION).grid(row=2, column=1)
Button(moveArm, text="SE", command=bumpMotorSE).grid(row=3, column=2, sticky=W)
Button(moveArm, text="SW", command=bumpMotorSW).grid(row=3, column=0, sticky=E)
Label(moveArm, text="Step Size").grid(row=4, column=0, sticky=W)
Entry(moveArm, textvariable=MOTORSTEP).grid(row=4, column=1, sticky=W)
Button(moveArm, text="Set XY for this crucible position", command=setXYForSampleLocation).grid(row=5, column=0)
Button(moveArm, text="Update all XYs based on this position", command=setXYForAllLocations).grid(row=5, column=1)
Button(moveArm, text="Next position", command=moveToNextSampleLocation).grid(row=5, column=2)
Button(moveArm, text="Go to Outside Balance Point", command=goToOutsideBalance).grid(row=6, column=0)
Button(moveArm, text="Set Outside Balance Point", command=setOutsideBalance).grid(row=6, column=1)
Button(moveArm, text="Go to Home Position(0,0)", command=goHome).grid(row=6, column=2)
Button(moveArm, text="Go to Inside Balance Point", command=goToInsideBalance).grid(row=7, column=0)
Button(moveArm, text="Set Inside Balance Point", command=setInsideBalance).grid(row=7, column=1)
Button(moveArm, text="Cancel", command=backToMainWindowFromMoveArm).grid(row=8, column=2)
update_windows()
moveArm.update()
def lasersOn():
output = xyzRobot.turnLasersOn()
update_windows()
return output
def lasersOff():
output = xyzRobot.turnLasersOff()
update_windows()
return output
def reloadFile():
file = tkFileDialog.askopenfilename(filetypes=[('sqlite files', '.sqlite')],
initialdir='C:\\Users\\Archy\\Dropbox\\Rehydroxylation\\', parent=root,
title='Choose a Sqlite database file')
if file is None:
return
value = DataReadWrite.reopenDatabase(file)
runID = DataReadWrite.getLastRunID()
RUNID.set(runID)
update_windows()
return value
def refinePosition():
position = SAMPLE_POSITION.get()
xyzRobot.refinePosition(position)
update_windows()
return
def loadRun():
RUNID.set(SETRUNID.get())
update_windows()
return True
def setXMaxVelocity():
maxvelocity = MAXXMOTORVELOCITY.get()
xyzRobot.setXMotorVelocityLimit(maxvelocity)
#MAXXMOTORVELOCITY.set(xyzRobot.getXMotorVelocityLimit())
update_windows()
return
def setYMaxVelocity():
maxvelocity = MAXYMOTORVELOCITY.get()
xyzRobot.setYMotorVelocityLimit(maxvelocity)
#MAXYMOTORVELOCITY.get(xyzRobot.getYMotorVelocityLimit())
update_windows()
return
def setZMaxVelocity():
maxvelocity = MAXZMOTORVELOCITY.get()
xyzRobot.setZMotorVelocityLimit(maxvelocity)
#MAXYMOTORVELOCITY.get(xyzRobot.getYMotorVelocityLimit())
update_windows()
return
def moveUntilXZero():
xyzRobot.moveXUntilZero()
sleep(1)
update_windows()
return
def moveUntilYZero():
xyzRobot.moveYUntilZero()
sleep(1)
update_windows()
return
###############################################################
###GUI Program#################################################
##############################################################
update_windows()
#Create Menus
menubar = Menu(root)
#File Bar
filemenu = Menu(menubar, tearoff=0)
filemenu.add_command(label="New", command=restart_program)
filemenu.add_separator()
filemenu.add_command(label="Exit", command=KillProgram)
menubar.add_cascade(label="File", menu=filemenu)
#Help Menu
helpmenu = Menu(menubar, tearoff=0)
menubar.add_cascade(label="Help", menu=helpmenu)
#Display the Menus
root.config(menu=menubar)
## always use Run #1 unless otherwise stated..
if RUNID.get() is None:
RUNID.set(1)
##Motor X Controls
Label(root, text="X-Axis").grid(row=1, column=0, sticky=E, padx=2, pady=2)
Entry(root, textvariable=XMOTORPOSITION, width=6).grid(row=1, column=1, sticky=W, padx=2, pady=2)
Button(root, text="Move X", command=moveMotorX).grid(row=1, column=2, padx=2, pady=2, sticky=W)
Button(root, text="Set Current Position of X to 0", command=setMotorXToZero).grid(row=1, column=3, padx=2, pady=2,
sticky=W)
Button(root, text="Move X until zero", command=moveUntilXZero).grid(row=1, column=4, padx=2, pady=1)
##Motor Y Controls
Label(root, text="Y-Axis").grid(row=3, column=0, sticky=E, padx=2, pady=2)
Entry(root, textvariable=YMOTORPOSITION, width=6).grid(row=3, column=1, sticky=W)
Button(root, text="Move Y", command=moveMotorY).grid(row=3, column=2, padx=2, pady=2, sticky=W)
Button(root, text="Set Current Position of Y to 0", command=setMotorYToZero).grid(row=3, column=3, padx=2, pady=2,
sticky=W)
Button(root, text="Move Y until zero", command=moveUntilYZero).grid(row=3, column=4, padx=2, pady=2)
##Motor Z Controls
Label(root, text="Z-Axis").grid(row=4, column=0, sticky=E, padx=2, pady=2)
Entry(root, textvariable=ZMOTORPOSITION, width=6).grid(row=4, column=1, sticky=W, padx=2, pady=2)
Button(root, text="Move Z", command=moveArmToPosition).grid(row=4, column=2, sticky=W, padx=2, pady=2)
Button(root, text="Set Current Position of Z to 0", command=resetZToZero).grid(row=4, column=3, padx=2, pady=2,
sticky=W)
Button(root, text="Move Z until zero", command=resetZMotorToZeroPosition).grid(row=4, column=4, padx=2, pady=2)
Button(root, text="+Y Axis", command=bumpYMotorRight).grid(row=5, column=1, padx=2, pady=2)
Button(root, text="-X Axis", command=bumpXMotorDown).grid(row=6, column=0, sticky=E, padx=2, pady=2)
Spinbox(root, textvariable=MOTORSTEP, width=6).grid(row=6, column=1, padx=2, pady=2)
Button(root, text="+X Axis", command=bumpXMotorUp).grid(row=6, column=2, sticky=W)
Button(root, text="-Y Axis", command=bumpYMotorLeft).grid(row=7, column=1, padx=2, pady=2)
Button(root, text="Up Z", command=bumpZMotorUp).grid(row=5, column=3, padx=2, pady=2)
Button(root, text="Raise to Top", command=raiseArmToTop).grid(row=5, column=4, padx=2, pady=2)
Entry(root, textvariable=ZMOTORSTEP, width=6).grid(row=6, column=3, padx=2, pady=2)
Button(root, text="Lower to Sample", command=lowerArmToSample).grid(row=6, column=4, padx=2, pady=2)
Button(root, text="Down Z", command=bumpZMotorDown).grid(row=7, column=3, padx=2, pady=2)
Button(root, text="Lower to Balance", command=lowerArmToBalance).grid(row=7, column=4, padx=2, pady=2)
##Balance Door controller
Label(root, text="Balance Door").grid(row=11, column=0, sticky=E, padx=2, pady=2)
Button(root, text="Open", command=openBalanceDoor).grid(row=11, column=1, sticky=E, padx=2, pady=2)
Button(root, text="Close", command=closeBalanceDoor).grid(row=11, column=2, sticky=W, padx=2, pady=2)
Label(root, text="Balance Door").grid(row=11, column=3, sticky=E, padx=2, pady=2)
Label(root, textvariable=BALANCEDOOR).grid(row=11, column=4, sticky=W, padx=2, pady=2)
##Balance Zeroing
Label(root, text="Tare the Balance").grid(row=12, column=0, sticky=E, padx=2, pady=2)
Button(root, text="Tare", command=BZero).grid(row=12, column=1, sticky=W, padx=2, pady=2)
Label(root, text="Balance Reading (g) ").grid(row=13, column=0, sticky=E, padx=2, pady=2)
Label(root, textvariable=BALANCEWEIGHT).grid(row=13, column=1, sticky=W, padx=2, pady=2)
Label(root, textvariable=BALANCESTATUS).grid(row=13, column=2, sticky=W, padx=2, pady=2)
Label(root, text="Low Precision Temp (C)").grid(row=14, column=0, sticky=E, padx=2, pady=2)
Label(root, textvariable=TEMPERATURE).grid(row=14, column=1, sticky=W, padx=2, pady=2)
Label(root, text="Humidity (%RH)").grid(row=14, column=2, sticky=E, padx=2, pady=2)
Label(root, textvariable=HUMIDITY).grid(row=14, column=3, sticky=W, padx=2, pady=2)
Label(root, text="Precision Temp C").grid(row=15, column=0, sticky=E, padx=2, pady=2)
Label(root, textvariable=PRECISIONTEMP).grid(row=15, column=1, sticky=W, padx=2, pady=2)
Label(root, text="Standard Balance (g)").grid(row=15, column=2, sticky=E, padx=2, pady=2)
Label(root, textvariable=STANDARD_BALANCE).grid(row=15, column=3, sticky=W, padx=2, pady=2)
Label(root, text="Using Standard Balance").grid(row=16, column=0, sticky=E, padx=2, pady=2)
Label(root, textvariable=USINGSTANDARDBALANCE).grid(row=16, column=1, sticky=W, padx=2, pady=2)
Label(root, text="Starting Sample Position").grid(row=17, column=0, sticky=E, padx=2, pady=2)
Spinbox(root, textvariable=START_POSITION, from_=1, to=25).grid(row=17, column=1, sticky=W, padx=2, pady=2)
listOfLocations = (
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, 10000, 20000)
Label(root, text="Go To Sample Position Number").grid(row=18, column=0, sticky=E, padx=2, pady=2)
Spinbox(root, textvariable=SAMPLE_POSITION, values=listOfLocations, borderwidth=2).grid(row=18, column=1, sticky=W,
padx=2, pady=2)
Button(root, text="GO", command=goToPosition).grid(row=18, column=2, sticky=W, padx=2, pady=2)
Button(root, text="Refine Position", command=refine).grid(row=18, column=3, sticky=W, padx=2, pady=2)
Label(root, text="Retrieve Sample from Balance").grid(row=19, column=0, sticky=E, padx=2, pady=2)
Spinbox(root, textvariable=SAMPLENUM, from_=1, to=25).grid(row=19, column=1, sticky=W, padx=2, pady=2)
Button(root, text="GO", command=getSampleFromBalance).grid(row=19, column=2, sticky=W, padx=2, pady=2)
Label(root, text="Current Position:").grid(row=20, column=1, sticky=E, padx=2, pady=2)
Label(root, textvariable=POSITION_NAME).grid(row=20, column=2, sticky=W, padx=2, pady=2)
Label(root, text="Arm Location (Z)").grid(row=20, column=3, sticky=E, padx=2, pady=2)
Label(root, textvariable=ARM_STATUS).grid(row=20, column=4, sticky=W, padx=2, pady=2)
Label(root, text="X Coordinate (roller)").grid(row=21, column=0, sticky=E, padx=2, pady=2)
Label(root, textvariable=ABSOLUTEXPOSITION).grid(row=21, column=1, sticky=W, padx=2, pady=2)
Label(root, text="Y Coordinate (roller)").grid(row=21, column=2, sticky=E, padx=2, pady=2)
Label(root, textvariable=ABSOLUTEYPOSITION).grid(row=21, column=3, sticky=W, padx=2, pady=2)
Label(root, text="Z Coordinate (roller)").grid(row=21, column=4, sticky=E, padx=2, pady=2)
Label(root, textvariable=ABSOLUTEZPOSITION).grid(row=21, column=5, sticky=W, padx=2, pady=2)
Label(root, text="X Zero?").grid(row=22, column=0, sticky=E, padx=2, pady=2)
Label(root, textvariable=XZERO).grid(row=22, column=1, sticky=W, padx=2, pady=2)
Label(root, text="Y Zero?").grid(row=22, column=2, sticky=E, padx=2, pady=2)
Label(root, textvariable=YZERO).grid(row=22, column=3, sticky=W, padx=2, pady=2)
Label(root, text="Z Zero?").grid(row=22, column=4, sticky=E, padx=2, pady=2)
Label(root, textvariable=ZZERO).grid(row=22, column=5, sticky=W, padx=2, pady=2)
Label(root, text="X Motor Position").grid(row=23, column=0, sticky=E, padx=2, pady=2)
Label(root, textvariable=XMOTORPOSITION).grid(row=23, column=1, sticky=W, padx=2, pady=2)
Label(root, text="Y Motor Position").grid(row=23, column=2, sticky=E, padx=2, pady=2)
Label(root, textvariable=YMOTORPOSITION).grid(row=23, column=3, sticky=W, padx=2, pady=2)
Label(root, text="Z Motor Position").grid(row=23, column=4, sticky=W, padx=2, pady=2)
Label(root, textvariable=ZMOTORPOSITION).grid(row=23, column=5, sticky=W, padx=2, pady=2)
Button(root, text="Release Crucible/Close Gripper", command=openGripper).grid(row=24, sticky=E, column=0, padx=2,
pady=2)
Button(root, text="Engage Crucible/Open Gripper", command=closeGripper).grid(row=24, sticky=W, column=1, padx=2, pady=2)
Label(root, text="Gripper Position").grid(row=24, column=2, sticky=E, padx=2, pady=2)
Label(root, textvariable=GRIPPERPOSITION).grid(row=24, column=3, sticky=W, padx=2, pady=2)
#Button(root, text="Lasers On", command=lasersOn).grid(row=25, column=0, padx=2, pady=2)
#Button(root, text="Lasers Off", command=lasersOff).grid(row=25, column=1, padx=2, pady=2)
Button(root, text="Chamber Lights On", command=turnLightOn).grid(row=25, column=0, sticky=E, padx=2, pady=2)
Button(root, text="Chamber Lights Off", command=turnLightOff).grid(row=25, column=1, sticky=W, padx=2, pady=2)
Label(root, text="Lights").grid(row=25, column=2, sticky=E, padx=2, pady=2)
Label(root, textvariable=LIGHTSTATUS).grid(row=25, column=3, sticky=W, padx=2, pady=2)
Label(root, text="X Motor Max").grid(row=26, column=0, padx=2, pady=2)
Entry(root, textvariable=MAXXMOTORVELOCITY, width=8).grid(row=26, column=1, padx=2, pady=2)
Button(root, text="Set X Motor Max", command=setXMaxVelocity).grid(row=26, column=2, padx=2, pady=2)
Button(root, text="Disengage Steppers", command=xyzRobot.disengageMotors).grid(row=26, column=3, padx=2, pady=2)
Label(root, text="Y Motor Max").grid(row=27, column=0, padx=2, pady=2)
Entry(root, textvariable=MAXYMOTORVELOCITY, width=8).grid(row=27, column=1, padx=2, pady=2)
Button(root, text="Set Y Motor Max Velocity", command=setYMaxVelocity).grid(row=27, column=2, padx=2, pady=2)
Label(root, text="Z Motor Max").grid(row=28, column=0, padx=2, pady=2)
Entry(root, textvariable=MAXZMOTORVELOCITY, width=8).grid(row=28, column=1, padx=2, pady=2)
Button(root, text="Set Z Motor Max", command=setZMaxVelocity).grid(row=28, column=2, padx=2, pady=2)
Button(root, text="Go Directly to Balance", command=goToBalance).grid(row=29, column=0, padx=2, pady=2)
Button(root, text="Update this Window", command=update_windows).grid(row=29, column=2, padx=2, pady=2)
Button(root, text="Find XY Home Position", command=findHome).grid(row=30, column=0, padx=2, pady=2)
Button(root, text="Set Positions", command=visitEachSampleLocation).grid(row=30, column=1, padx=2,
pady=2)
Button(root, text="Check Positions", command=checkEachSamplePosition).grid(row=30, column=2, padx=2,
pady=2)
Button(root, text="Set Home to this XY Location", command=setAbsZeroXY).grid(row=30, column=3, padx=2, pady=2)
Button(root, text="Go Home", command=goHome).grid(row=31, column=0, padx=2, pady=2)
Button(root, text="Set XY for this sample position", command=setXYForSampleLocation).grid(row=31, column=3, padx=2,
pady=2)
Button(root, text="Go to Outside Balance Point", command=goToOutsideBalance).grid(row=32, column=0, padx=2, pady=2)
Button(root, text="Set Z for Sample Position", command=setZForSampleLocation).grid(row=32, column=2, padx=2, pady=2)
Button(root, text="Set XY for Outside Balance Point", command=setOutsideBalance).grid(row=32, column=3, padx=2, pady=2)
Button(root, text="Go to Inside Balance Point", command=goToInsideBalance).grid(row=33, column=0, padx=2, pady=2)
Button(root, text="Set XY for Inside Balance Point", command=setInsideBalance).grid(row=33, column=3, padx=2, pady=2)
Button(root, text="Set Z for Balance Position", command=setZForBalanceLocation).grid(row=33, column=2, padx=2, pady=2)
Label(root, text="Run ID:").grid(row=34, column=0, sticky=E, padx=2, pady=2)
Label(root, textvariable=SETRUNID).grid(row=34, column=1, sticky=W, padx=2, pady=2)
Button(root, text="Refine Position", command=refinePosition).grid(row=34, column=3, padx=2, pady=2)
##start the other scripts
Button(root, text="1. Empty Crucibles", command=initialize).grid(row=35, column=0, padx=2, pady=2)
Button(root, text="2. Setup Samples", command=setup).grid(row=35, column=1, padx=2, pady=2)
Button(root, text="3. Post-Fire RHX", command=postFire).grid(row=35, column=2, padx=2, pady=2)
Button(root, text="<Quit>", command=quit).grid(row=35, column=3, padx=2, pady=2)
root.mainloop()
| [
"[email protected]"
] | |
497f21accdf90e5db6cfc9b223630ab19336cddb | 85fc4fcd841226c30b1a5824468eae95e6da3cd1 | /oddities.py | 3aadbd44e0062fdb114cb855a0e00371b739b293 | [] | no_license | a5vh/kattis | 1676060acfc6eef1d7c558299063646f3b7fcbf3 | 093cbeba31149fa0182ecc1bc8a43c60cdb1fa36 | refs/heads/master | 2020-08-17T19:54:11.754205 | 2019-11-26T01:34:29 | 2019-11-26T01:34:29 | 215,705,247 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 171 | py | times = int(input())
for i in range(times):
num = int(input())
if num % 2 == 0:
print(num, " is even")
elif num % 2 != 0:
print(num, " is odd") | [
"[email protected]"
] | |
23452b8aa23ec30902431afb8e033d9650a11a27 | 62e58c051128baef9452e7e0eb0b5a83367add26 | /x12/4050/186004050.py | 0ef5e94fd43a44abe1431659b10050e7af9dfadf | [] | no_license | dougvanhorn/bots-grammars | 2eb6c0a6b5231c14a6faf194b932aa614809076c | 09db18d9d9bd9d92cefbf00f1c0de1c590fe3d0d | refs/heads/master | 2021-05-16T12:55:58.022904 | 2019-05-17T15:22:23 | 2019-05-17T15:22:23 | 105,274,633 | 0 | 0 | null | 2017-09-29T13:21:21 | 2017-09-29T13:21:21 | null | UTF-8 | Python | false | false | 4,983 | py | from bots.botsconfig import *
from records004050 import recorddefs
syntax = {
'version' : '00403', #version of ISA to send
'functionalgroup' : 'UW',
}
structure = [
{ID: 'ST', MIN: 1, MAX: 1, LEVEL: [
{ID: 'BGN', MIN: 1, MAX: 1},
{ID: 'CUR', MIN: 0, MAX: 1},
{ID: 'LTR', MIN: 0, MAX: 99},
{ID: 'NM1', MIN: 0, MAX: 2, LEVEL: [
{ID: 'N3', MIN: 0, MAX: 3},
{ID: 'N4', MIN: 0, MAX: 1},
{ID: 'REF', MIN: 0, MAX: 9},
{ID: 'PER', MIN: 0, MAX: 3},
]},
{ID: 'ACT', MIN: 1, MAX: 99999, LEVEL: [
{ID: 'LX', MIN: 1, MAX: 99999, LEVEL: [
{ID: 'NM1', MIN: 1, MAX: 99999, LEVEL: [
{ID: 'REF', MIN: 0, MAX: 99999},
{ID: 'N3', MIN: 0, MAX: 1},
{ID: 'N4', MIN: 0, MAX: 1},
{ID: 'DMG', MIN: 0, MAX: 1},
{ID: 'DTP', MIN: 0, MAX: 5},
{ID: 'AM1', MIN: 0, MAX: 9},
{ID: 'PWK', MIN: 0, MAX: 1},
{ID: 'MSG', MIN: 0, MAX: 99999},
{ID: 'DMA', MIN: 0, MAX: 1},
{ID: 'QTY', MIN: 0, MAX: 99999},
]},
{ID: 'BOR', MIN: 1, MAX: 99999, LEVEL: [
{ID: 'DTP', MIN: 0, MAX: 99999},
{ID: 'MSG', MIN: 0, MAX: 99999},
{ID: 'NM1', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'REF', MIN: 0, MAX: 99999},
{ID: 'PER', MIN: 0, MAX: 1},
{ID: 'N3', MIN: 0, MAX: 1},
{ID: 'N4', MIN: 0, MAX: 1},
{ID: 'DMA', MIN: 0, MAX: 1},
{ID: 'REL', MIN: 0, MAX: 1},
]},
{ID: 'SPK', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'CD2', MIN: 0, MAX: 9},
{ID: 'DTP', MIN: 0, MAX: 9},
{ID: 'REF', MIN: 0, MAX: 1},
{ID: 'MSG', MIN: 0, MAX: 99999},
{ID: 'NM1', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'N4', MIN: 0, MAX: 1},
]},
]},
{ID: 'LTR', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'CD2', MIN: 0, MAX: 9},
{ID: 'DTP', MIN: 0, MAX: 9},
{ID: 'NM1', MIN: 0, MAX: 9},
{ID: 'MSG', MIN: 0, MAX: 99999},
]},
{ID: 'UC', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'HL', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'UQS', MIN: 0, MAX: 1},
{ID: 'NM1', MIN: 0, MAX: 1},
{ID: 'N1', MIN: 0, MAX: 1},
{ID: 'N3', MIN: 0, MAX: 1},
{ID: 'N4', MIN: 0, MAX: 1},
{ID: 'DTP', MIN: 0, MAX: 99999},
{ID: 'QTY', MIN: 0, MAX: 99999},
{ID: 'MSG', MIN: 0, MAX: 99999},
{ID: 'DMA', MIN: 0, MAX: 1},
{ID: 'AM1', MIN: 0, MAX: 1},
{ID: 'DMG', MIN: 0, MAX: 1},
{ID: 'AMT', MIN: 0, MAX: 1},
{ID: 'EC', MIN: 0, MAX: 1},
{ID: 'PER', MIN: 0, MAX: 1},
{ID: 'REF', MIN: 0, MAX: 1},
{ID: 'IN1', MIN: 0, MAX: 1},
{ID: 'EMS', MIN: 0, MAX: 1},
{ID: 'ASL', MIN: 0, MAX: 99999},
{ID: 'TOA', MIN: 0, MAX: 1},
{ID: 'TOV', MIN: 0, MAX: 1},
{ID: 'III', MIN: 0, MAX: 99999},
{ID: 'SIN', MIN: 0, MAX: 1},
{ID: 'UCS', MIN: 0, MAX: 1},
{ID: 'FH', MIN: 0, MAX: 1},
{ID: 'UD', MIN: 0, MAX: 1},
{ID: 'CDS', MIN: 0, MAX: 1},
{ID: 'CED', MIN: 0, MAX: 1},
{ID: 'YNQ', MIN: 0, MAX: 1},
{ID: 'MPI', MIN: 0, MAX: 1},
{ID: 'EFI', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'BIN', MIN: 1, MAX: 1},
]},
]},
]},
{ID: 'LS', MIN: 0, MAX: 1, LEVEL: [
{ID: 'UD', MIN: 1, MAX: 99999, LEVEL: [
{ID: 'NM1', MIN: 0, MAX: 1},
{ID: 'N4', MIN: 0, MAX: 1},
{ID: 'REL', MIN: 0, MAX: 1},
{ID: 'DTP', MIN: 0, MAX: 1},
{ID: 'EFI', MIN: 0, MAX: 99999, LEVEL: [
{ID: 'BIN', MIN: 1, MAX: 1},
]},
]},
{ID: 'LE', MIN: 1, MAX: 1},
]},
]},
]},
]},
{ID: 'SE', MIN: 1, MAX: 1},
]}
]
| [
"[email protected]"
] | |
5f656012f1f9e8a1142bd5fbe97e5773232143b6 | f35259cdae65259d41d5c86f09351d6888a81de6 | /module6.py | 87ce2236305191b49e11e2aa5db13fd19e0d7fba | [
"MIT"
] | permissive | RajeshKumar-1998/python-web | 9dbc71da656baec7946b9dae9f36919ac60be0ca | a4a7823752ce91a7a5bd3aaa1210c9ddad7ea55e | refs/heads/master | 2022-04-18T04:57:12.274235 | 2020-04-23T12:28:14 | 2020-04-23T12:28:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 702 | py | #-------------------------------------------------------------------------------
# Name: module1
# Purpose:
#
# Author: Rajesh
#
# Created: 26-12-2019
# Copyright: (c) Rajesh 2019
# Licence: <your licence>
#-------------------------------------------------------------------------------
import os
import threading
from threading import Thread
import time
def usr():
print("Wait for few secs")
time.sleep(5)
mypath = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
print(mypath)
return
def main():
inp = input("Enter the query")
print(inp)
print("Your Query is being processing !!!")
usr()
if __name__ == '__main__':
main()
| [
"[email protected]"
] |
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