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| token_count
int64 1
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|
|---|---|---|---|
#
# Copyright 2019-2020 Lukas Schmelzeisen
#
# 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 logging import FileHandler, Handler
from sys import version_info
from typing import Sequence
from pytest import raises
from nasty_utils import checked_cast, safe_issubclass
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628,
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] | 3.812808 | 203 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2017-12-01 14:49
from __future__ import unicode_literals
from django.db import migrations, models
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] | 2.736842 | 57 |
import unittest
import sys
sys.path.insert(0, '../')
from client.cisco_grpc_client_insecure import CiscoGRPCClient
import json
if __name__ == '__main__':
unittest.main()
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import logging
logger = logging.getLogger(__name__)
import requests
import _thread
if __name__ == '__main__':
import json
import time
client = WebClient()
msg = {
'type': 'config',
'domains': [
{'id': 'B',
'address': 'http://127.0.0.1:8882'},
]
}
msg_json = json.dumps(msg)
params = {'message-id': '', 'call-back': ''}
suffix = '/' + 'A' + '/peer'
url = 'http://127.0.0.1:9090' + suffix
kwargs = {'params': params}
print('send msg')
print(client.send_msg('post', url, msg_json, **kwargs))
time.sleep(1)
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11,
31456,
62,
17752,
11,
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46265,
22046,
4008,
198,
220,
220,
220,
640,
13,
42832,
7,
16,
8,
628,
628,
198
] | 2.117241 | 290 |
import os.path as osp
import numpy as np
import torch
from cogdl.data import Data, Dataset
from cogdl.utils import download_url
from cogdl.datasets import register_dataset
@register_dataset("fb13")
@register_dataset("fb15k")
@register_dataset("fb15k237")
@register_dataset("wn18")
@register_dataset("wn18rr")
@register_dataset("fb13s")
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] | 2.641791 | 134 |
# https://leetcode.com/problems/4sum
from collections import defaultdict
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] | 3.409091 | 22 |
import models
import read_data as data
import hyperparameters
from drift_detection.__init__ import *
import random
import numpy
import logging
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import requests
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import frappe
from frappe.website.page_renderers.error_page import ErrorPage
from frappe.website.page_renderers.not_permitted_page import NotPermittedPage
from frappe.website.page_renderers.redirect_page import RedirectPage
from frappe.website.path_resolver import PathResolver
def get_response(path=None, http_status_code=200):
"""Resolves path and renders page"""
response = None
path = path or frappe.local.request.path
endpoint = path
try:
path_resolver = PathResolver(path)
endpoint, renderer_instance = path_resolver.resolve()
response = renderer_instance.render()
except frappe.Redirect:
return RedirectPage(endpoint or path, http_status_code).render()
except frappe.PermissionError as e:
response = NotPermittedPage(endpoint, http_status_code, exception=e).render()
except Exception as e:
response = ErrorPage(exception=e).render()
return response
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1069,
4516,
28,
68,
737,
13287,
3419,
628,
197,
7783,
2882,
198
] | 3.146429 | 280 |
import tensorflow as tf
import numpy as np
import rnn_cell, rnn
train_set = np.load('train_set.npy')
test_set = np.load('test_set.npy')
x = tf.placeholder(tf.float32, shape=[None, None, 2])
y = tf.placeholder(tf.float32, shape=[1, None])
activation = lambda x: tf.maximum(x, .01*x)
with tf.variable_scope('lstm'):
cell_size = 64
lstm_cell = rnn_cell.BasicLSTMCell(cell_size, state_is_tuple=True)
_, states = rnn.dynamic_rnn(lstm_cell, x, dtype=tf.float32, time_major=True)
final_states = states[1]
W = weight_variable([1, cell_size])
b = bias_variable([1])
y_pred = activation( tf.matmul(W, tf.transpose(final_states)) + b )
mean_square_error = tf.reduce_mean( (y - y_pred)**2 )
accuracy = tf.reduce_mean( tf.cast( tf.less( tf.abs(y_pred - y), 0.04), tf.float32 ) )
#train_step = tf.train.AdamOptimizer(learning_rate=0.001).minimize(mean_square_error)
optimizer = tf.train.AdamOptimizer(learning_rate=0.001)
grads_and_vars = optimizer.compute_gradients(mean_square_error)
clipped_grads_and_vars = [(tf.clip_by_norm(grad, 1.), var) for (grad, var) in grads_and_vars]
train_step = optimizer.apply_gradients(clipped_grads_and_vars)
if __name__ == "__main__":
session = tf.Session()
for i in xrange(5):
session.run(tf.initialize_all_variables())
train_log = []
for j in xrange(15000):
X, Y = train_set[j%2000]
train_log.append((session.run(accuracy, feed_dict={x: X, y: Y}), \
session.run(mean_square_error, feed_dict={x: X, y: Y})))
session.run(train_step, feed_dict={x: X, y: Y})
if j%100 == 0:
print 'run', i, 'step', j, train_log[-1]
print 'testing...'
err_list = []
for (Xt, Yt) in test_set:
err_list.append( session.run(mean_square_error, feed_dict={x: Xt, y: Yt}) )
print 'saving results...'
np.save('logs/lstm_train_log' + str(i) + '.npy', np.array(train_log))
np.save('logs/lstm_test_err' + str(i) + '.npy', np.array(err_list))
print
session.close()
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] | 2.090821 | 1,035 |
from test.tools.enums import OpTypes
from restfx import val
from restfx import route
from restfx.http import HttpFile
from restfx.http import HttpRequest
@route(module='测试名称-模块', name='测试名称-GET', extname='jsp', auth=False, op_type=OpTypes.Query, validators=(
val('param1').range(2, 2)
))
def get(request, _injection, param1=(1, 2), param2=5):
"""
:param request: HttpRequest
:param _injection:
:param param1:第1个参数
:param param2:第2个参数
:return: 返回值为参数字典
"""
# request 会是 HttpRequest
temp = []
for i in range(20):
temp.append({
'i': i,
'p': i ^ i,
'o': i & i
})
data = {
'injection': _injection,
'param2': param1,
'param3': param2,
'temp': temp
}
return data
@route(module='测试名称-模块', name='测试名称-GET_APPEND_PARAM')
def get_param(param1, req: HttpRequest, from_=None, param3=5):
"""
:param param1:第1个参数
:param req:第2个参数
:param from_:第3个参数
:param param3:第4个参数
:return: 返回值为参数字典
"""
# req 会是 HttpRequest
return {
'param1': param1,
'from': from_,
'param3': param3,
}
@route(module='测试名称-模块', name='测试名称-PUT_PARAM', auth=False)
def put(request: int, file: HttpFile):
"""
:param request:第1个参数
:param file:需要上传一个文件
:return: 返回值为参数字典
"""
# request 会是请求参数，参数列表中没有 HttpRequest
return {
'request': request,
'param1': {
'filename': file.stream.filename if file else None,
'type': file.mimetype
}
}
@route(module='测试名称-模块', name='测试名称-DELETE_PARAM')
def delete(request, param1, from_=None, param3=5, **kwargs):
"""
:param request:第1个参数
:param param1:第2个参数
:param from_:第3个参数
:param param3:第4个参数
:return: 返回值为参数字典
"""
# 未在函数的参数列表中声明的请求参数，会出现在 kwargs 中
return {
'param1': param1,
'from': from_,
'param3': param3,
'variable_args': kwargs
}
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] | 1.558626 | 1,339 |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'DirBrowser_ui.ui'
#
# Created by: PyQt5 UI code generator 5.9.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
from HubblePi.viewer.DirBrowserTableView import DirBrowserTableView
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] | 2.980952 | 105 |
from __future__ import unicode_literals
import dataent | [
6738,
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] | 3.857143 | 14 |
'''
The Sprite Curry system.
This package contains everything one needs to compile and execute Curry code.
The topmost module provides an instance of the Curry system and an API to
interact with it.
To perform a soft reset call :func:`reset`. This returns the system to its
original state, with no definitions and no modules imported. The configuration
is taken from environment variable SPRITE_INTERPRETER_FLAGS. To change that at
runtime, call :func:`reload` and specify new flags.
Use :func:`import_` to import Curry modules, :func:`compile` to compile Curry
code, :func:`expr` to build Curry expressions, and :func:`eval` to evaluate
them. :data:`path` determines where Sprite searches for Curry code. Loaded
modules can be found under :data:`modules`. Use :func:`topython` to convert
Curry values to Python objects.
Example:
>>> mymodule = curry.compile("""
... data Item = A | B
... rotate A = B
... rotate B = A
... main :: Item
... main = rotate A ? rotate B
... """)
>>> for value in curry.eval(mymodule.main):
... print(value)
B
A
'''
__all__ = [
# Global API
'getInterpreter'
, 'reload'
, 'show_value'
# Methods of the global interpreter.
, 'compile'
, 'currytype'
, 'eval'
, 'expr'
, 'flags'
, 'import_'
, 'load'
, 'module'
, 'modules'
, 'path'
, 'raw_expr'
, 'reset'
, 'save'
, 'symbol'
, 'topython'
, 'type'
# Wrappers to control expression building.
, 'choice'
, 'cons'
, 'fail'
, 'free'
, 'nil'
, 'ref'
, 'unboxed'
]
# Install breakpoint() into __builtins__.
import os
if os.environ.get('SPRITE_ENABLE_BREAKPOINT', False):
from .utility import breakpoint
del breakpoint
# Validate SPRITE_HOME.
if 'SPRITE_HOME' not in os.environ:
raise ImportError('SPRITE_HOME is not set in the environment')
if not os.path.isdir(os.environ['SPRITE_HOME']):
raise ImportError('SPRITE_HOME is not a directory')
if not os.access(os.environ['SPRITE_HOME'], os.O_RDONLY):
raise ImportError('SPRITE_HOME is not readable')
del os
from .exceptions import *
from . import interpreter, lib
from .interpreter import flags as _flags
from .utility import visitation as _visitation
import collections as _collections
import six as _six
from . import expressions as _expressions
choice = _expressions.choice
cons = _expressions.cons
fail = _expressions.fail
'''
Places a failure into a Curry expression.
:meta hide-value:
'''
free = _expressions.free
nil = _expressions.nil
'''
Places a list terminator into a Curry expression.
:meta hide-value:
'''
ref = _expressions.ref
unboxed = _expressions.unboxed
del _expressions
_interpreter_ = interpreter.Interpreter(flags=_flags.getflags())
compile = _interpreter_.compile
currytype = _interpreter_.currytype
eval = _interpreter_.eval
expr = _interpreter_.expr
flags = _interpreter_.flags
'''
The ``flags`` attribute of the global interpreter. Modify this to reconfigure
the interpreter.
:meta hide-value:
'''
import_ = _interpreter_.import_
load = _interpreter_.load
module = _interpreter_.module
modules = _interpreter_.modules
'''
The ``modules`` attribute of the global interpreter. This is a ``dict`` that
contains the imported Curry modules.
:meta hide-value:
'''
path = _interpreter_.path
'''
The ``path`` attribute of the global interpreter. Initialized from environment
variable CURRYPATH. Modify this to dynamically adjust the Curry search path.
:meta hide-value:
'''
raw_expr = _interpreter_.raw_expr
reset = _interpreter_.reset
save = _interpreter_.save
symbol = _interpreter_.symbol
topython = _interpreter_.topython
type = _interpreter_.type
def getInterpreter():
'''Get the global interpreter instance.'''
return _interpreter_
def reload(flags={}):
'''
Hard-resets the interpreter. Any flags supplied will be forwarded to the
constructor, overriding flags supplied via the environment variable
SPRITE_INTERPRETER_FLAGS.
'''
interpreter.reload(__name__, flags)
def show_value(value):
'''
Converts a Python Curry value to a string in Curry format. This does a few
things, such as lowering one-tuples; adjusting containers, such as tuples and
lists, to print elements as with ``str`` rather than ``repr``; and converting
free variable to friendly names _a, _b, etc. The output should match other
Curry systems.
'''
return ShowValue()(value)
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] | 3.057799 | 1,436 |
card_pub_key = 15335876
door_pub_key = 15086442
card_loop_size = find_loop_size(7, card_pub_key)
door_loop_size = find_loop_size(7, door_pub_key)
print(find_enc_key(door_pub_key, card_loop_size)) | [
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"""
This file defined the URLs (end-points) for the plugin.
"""
from django.conf.urls import url
from . import views
# The plugin handles the request to the URL by responding with the view which is loaded
# from views.py. Inside "views" is a class which responses to the
# request. "name" is a shortcut name for the urls.
urlpatterns = [
# This is http://<portal_server_url>/search_page_export_example/
url(r'^$', views.ExportFormView.as_view(), name='form'),
# This is http://<portal_server_url>/search_page_export_example/csv/
url(r'^csv/$', views.CsvExportView.as_view(), name='csv'),
]
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] | 3.00495 | 202 |
import random
import datetime
from bubbleSort import BubbleSort | [
11748,
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198,
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1330,
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] | 4.571429 | 14 |
from Chemistry.PDB.pdb_atom import pdb_atom
from Chemistry.PDB.pdb_constants import pdb_constants
"""
* pdb is list of pdb_models
* pdb_model is a list of pdb_chains objects
* pdb _chain is a list of pdb_atom objects
* atom ahs attributes such as:
- atom_serial_number
- atom_name
- resname
- resseq
- chain_id
...
* pdb_residue *is not* being used in the pdb object (use int in chain_utils)
* use chain_utils to preform operations on a given pdb_chain objects
"""
class pdb_chain(list):
"""
pdb_chain is a list of pdb_atoms objects
it has chain_id attribute
"""
@classmethod
@classmethod
def create_ter_line(cls, last_atom_line):
"""
this method will create TER line according to the last atom of the chain
COLUMNS DATA TYPE FIELD DEFINITION
-------------------------------------------------------------------------
1 - 6 Record name "TER "
7 - 11 Integer serial Serial number.
18 - 20 Residue name resName Residue name.
22 Character chainID Chain identifier.
23 - 26 Integer resSeq Residue sequence number.
27 AChar iCode Insertion code.
:param last_atom_line:
:return:
"""
atom = pdb_atom(last_atom_line)
# v v v
# 12345678901234567890123456
# TER 25 GLY 3
# 12345678901234567890123456
# ATOM 24 HA3 GLY 3
ter_serial_number = int(atom.atom_serial_number) + 1
# TER 2100 ALA A 775
st = "{:<5}{:>6} {:>3} {:>1}{:>4}{:>1}"
ter_line = st.format('TER', ter_serial_number, atom.resname, atom.chain_id,
atom.resseq, atom.icode)
return ter_line
class pdb_residue(list):
"""
pdb_residue is *not* part of the pdb object
This class represent a residue (single amino acid)
the pdb_residue is a list of atoms which has the following attributes:
resname,resseq,icode
"""
@classmethod
def is_eqvivalent_residues(self, residue1, residue2):
"""
the residues are eqvivalent if bothe have the same resname and resseq
:param residue1:
:param residue2:
:return:
"""
ret_val = residue1.resname == residue2.resname and \
residue1.resseq == residue2.resseq
return ret_val
# noinspection PyGlobalUndefined
class chain_utils:
"""
the chain utils is a clas which will help TODO
"""
def chain2residues_list(self):
"""
expexted_number_of_residues: the expexted_number_of_residues
(if we know it from othe chins in the model)
:return: list of lists of atoms - the internal lists are residues (aminos)
"""
chain = self.chain
if len(chain) < 1:
return []
if len(self.residues) != 0:
return self.residues # this method alredy ran
first_atom = chain[0]
curr_residue = []
for i, curr_atom in enumerate(chain):
if first_atom.has_the_same_residue_as(curr_atom):
curr_residue.append(curr_atom)
else:
self.residues.append(pdb_residue(curr_residue))
curr_residue = [curr_atom]
first_atom = curr_atom
self.residues.append(pdb_residue(curr_residue))
return self.residues
def get_atoms_gaps(self):
"""TODO"""
return []
# def get_chain_gaps(self, expexted_number_of_residues=None):
# """TODO"""
# chain = self.chain
# self.residues_gaps = self.get_residues_gaps()
def remove_residues_by_resseqs(self, resseqs_list):
"""remove residues of the chain acoording to resseqs list"""
not_with_resseq = lambda a: a.resseq not in list(map(str, resseqs_list))
chain = pdb_chain(list(filter(not_with_resseq, self.chain)))
chain.ter_line = self.chain.ter_line
return chain
def remove_atoms_by_atom_resseq_and_name(self, atoms_to_remove):
"""
:param atoms_to_remove: [(resname,resseq,atom_name), (resname,resseq,atom_name)...]
:return:
"""
global _chain
atoms_indexes_to_delete = []
chain = self.chain
for ai, atom in enumerate(chain):
if (atom.resname, atom.resseq, atom.atom_name) in atoms_to_remove:
# print ("{:>22} will be deleted from chain {}".format(
# str((atom.resname,atom.resseq,atom.atom_name)),self.chain.chain_id))
atoms_indexes_to_delete.append(ai)
# else:
# print("{:>22} not missing chain {}".format(
# str((atom.resname, atom.resseq, atom.atom_name)),self.chain.chain_id))
atoms = [atom for ai, atom in enumerate(chain) if ai not in atoms_indexes_to_delete]
_chain = pdb_chain(atoms, ter_line=pdb_chain.create_ter_line(str(atoms[-1])))
return _chain
def fix_atoms_serial_number(self, start=1):
"""fix_atoms_serial_number TODO _Tests"""
index = start
for i, stom in enumerate(self.chain):
self.chain[i].atom_serial_number = index
index += 1
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15853,
352,
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] | 1.985533 | 2,834 |
# PyAlgoTrade
#
# Copyright 2011-2015 Gabriel Martin Becedillas Ruiz
#
# 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.
"""
.. moduleauthor:: Gabriel Martin Becedillas Ruiz <[email protected]>
"""
import pyalgotrade.logger
from pyalgotrade.optimizer import base
from pyalgotrade.optimizer import xmlrpcserver
logger = pyalgotrade.logger.getLogger(__name__)
class Results(object):
"""The results of the strategy executions."""
def getParameters(self):
"""Returns a sequence of parameter values."""
return self.__parameters
def getResult(self):
"""Returns the result for a given set of parameters."""
return self.__result
def serve(barFeed, strategyParameters, address, port):
"""Executes a server that will provide bars and strategy parameters for workers to use.
:param barFeed: The bar feed that each worker will use to backtest the strategy.
:type barFeed: :class:`pyalgotrade.barfeed.BarFeed`.
:param strategyParameters: The set of parameters to use for backtesting. An iterable object where **each element is a tuple that holds parameter values**.
:param address: The address to listen for incoming worker connections.
:type address: string.
:param port: The port to listen for incoming worker connections.
:type port: int.
:rtype: A :class:`Results` instance with the best results found or None if no results were obtained.
"""
paramSource = base.ParameterSource(strategyParameters)
resultSinc = base.ResultSinc()
s = xmlrpcserver.Server(paramSource, resultSinc, barFeed, address, port)
logger.info("Starting server")
s.serve()
logger.info("Server finished")
ret = None
bestResult, bestParameters = resultSinc.getBest()
if bestResult is not None:
logger.info("Best final result %s with parameters %s" % (bestResult, bestParameters.args))
ret = Results(bestParameters.args, bestResult)
else:
logger.error("No results. All jobs failed or no jobs were processed.")
return ret
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] | 3.310793 | 769 |
# Add relative directory Library to import path, so we can import the SpoutSDK.pyd library.
# Feel free to remove these if you put the SpoutSDK.pyd file in the same directory as the python scripts.
import sys
sys.path.append('Library')
import numpy as np
import argparse
import time
import SpoutSDK
import pygame
from pygame.locals import *
from OpenGL.GL import *
from OpenGL.GL.framebufferobjects import *
from OpenGL.GLU import *
import PIL.Image
import dnnlib
import dnnlib.tflib as tflib
import re
import sys
import time
import socket
import cv2
import pretrained_networks
spout_type = "output"
spout_size = [512, 512]
silent = True
spout_name = "outputGan"
""" here your functions """
"""main"""
if __name__ == '__main__':
main()
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12417,
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10354,
198,
220,
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1388,
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] | 3.086066 | 244 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from unittest.case import TestCase
from actors import Actor, DESTROYED, ACTIVE, Obstacle, Pig, YellowBird, RedBird
class BirdBaseTests(TestCase):
"""
Base Test Class for birds.
It has no tests. Its only purpose is encapsulate assertions logic for concrete Birds tests.
"""
def assert_bird_position(self, x_expected, y_expected, status_expected, bird, time):
"""
Assert bird position.
WARNING: this is not a test method because it has not the suffix "test".
:param x_expected: position x expected
:param y_expected: position y expected
:param status_expected: status expected
:param bird: bird under test
:param time: game's time
"""
x_calculated, y_calculated = bird.calculate_position(time)
self.assertEqual(x_expected, round(x_calculated), 'x real value = %s' % x_calculated)
self.assertEqual(y_expected, round(y_calculated), 'y real value = %s' % y_calculated)
self.assertEqual(status_expected, bird.status, '(x = %s, y = %s)' % (x_calculated, y_calculated))
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6,
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8,
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220,
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7,
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62,
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7,
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88,
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6,
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8,
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220,
220,
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220,
220,
2116,
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7,
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62,
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62,
9948,
49262,
11,
331,
62,
9948,
49262,
4008,
628,
628,
198
] | 2.679724 | 434 |
"""
Peng-robinson equation of state calculator.
As used: https://www.poppyi.com/app_design_form/public_render/peng%20robinson%20eq%20of%20state
"""
import numpy as np
R = 8.31446 # Pa.m3/K
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] | 2.487179 | 78 |
from django import forms
from django.contrib.auth.models import User
from core.models import Post, Category
# forms will go here. create account has been added, new post form will probably go here
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] | 4 | 50 |
from django.conf.urls import patterns, url
from . import views
urlpatterns = patterns(
'',
url('program_export/', views.program_export, name='program_export'),
url(r'^special_event/(?P<slug>.*)/$', views.special_event, name='special_event'),
)
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62,
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198,
8,
198
] | 2.784946 | 93 |
#!/usr/bin/env python3
################################################
#
# Parser to handle compatibility between
# magma and portal json formats
#
# Michele Berselli
# [email protected]
#
################################################
################################################
# Libraries
################################################
import sys, os
import json
################################################
# ParserFF
################################################
class ParserFF(object):
"""
"""
def __init__(self, input_json):
"""
input_json is a meta-workflow or meta-workflow-run in json format
"""
self.in_json = input_json
#end def
def arguments_to_json(self):
"""
parse meta-workflow or meta-workflow-run json stored as self.in_json
if input, convert and replace arguments in input from string to json
if workflows, for each step-workflow convert and replace arguments in input from string to json
"""
if self.in_json.get('input'):
self._input_to_json(self.in_json['input'])
#end if
if self.in_json.get('workflows'):
self._workflows_to_json(self.in_json['workflows'])
#end if
return self.in_json
#end def
def _workflows_to_json(self, workflows):
"""
"""
for workflow in workflows:
self._input_to_json(workflow['input'])
#end for
#end def
def _input_to_json(self, input):
"""
loop through arguments in input
call appropriate conversion function for argument_type
"""
for arg in input:
if arg['argument_type'] == 'file':
self._file_to_json(arg)
else: # is parameter
self._parameter_to_json(arg)
#end if
#end for
#end def
def _file_to_json(self, arg):
"""
_files_to_json to convert file argument from string to json
replace the argument value (files)
"""
if arg.get('files'):
arg['files'] = self._files_to_json(arg['files'])
#end if
#end def
def _files_to_json(self, files, sep=','):
"""
convert file argument from string to json
return the argument value (files)
files, is a list of dictionaries representing files
and information on their dimensional structure
e.g. "files": [
{
"file": "A",
"dimension": "0"
# 0D missing, 1D X, 2D X:X, 3D X:X:X, ...
},
{
"file": "B",
"dimension": "1"
}
]
"""
list_ = []
# Get max dimensions needed
for file in files:
dimension = file.get('dimension')
if not dimension:
return file.get('file')
#end if
dimension_ = list(map(int, dimension.split(sep)))
# Expand input list based on dimensions
self._init_list(list_, dimension_)
# Add element
tmp_list = list_
for i in dimension_[:-1]:
tmp_list = tmp_list[i]
#end for
tmp_list[dimension_[-1]] = file.get('file')
#end for
return list_
#end def
def _init_list(self, list_, dimension_):
"""
"""
tmp_list = list_
for i in dimension_[:-1]:
try: # index esist
tmp_list[i]
except IndexError: # create index
for _ in range(i-len(tmp_list)+1):
tmp_list.append([])
#end try
tmp_list = tmp_list[i]
#end for
for _ in range(dimension_[-1]-len(tmp_list)+1):
tmp_list.append(None)
#end for
#end def
def _parameter_to_json(self, arg):
"""
convert parameter argument from string to json
replace the argument value (value)
value_type, json | string | integer | boolean | float
"""
if not arg.get('value'):
return
#end if
value = arg['value']
value_type = arg['value_type']
if value_type == 'json':
value = json.loads(value)
elif value_type == 'integer':
value = int(value)
elif value_type == 'float':
value = float(value)
elif value_type == 'boolean':
if value.lower() == 'true':
value = True
else: value = False
#end if
#end if
arg['value'] = value
del arg['value_type']
#end def
#end class
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1303,
437,
825,
198,
198,
2,
437,
1398,
198
] | 1.96092 | 2,610 |
'''
FVCproductions
CSC291_4
'''
# list
numbers = [3, 7, 9484, 46, 67, 2.3]
total = 0
for num in numbers:
total += num
# concanetation
print "The total is", total
print "hi!"*4
# tuple
things = ("one", "two")
# dictionary
age = {"Dryfuss": 6, "Yana": 30, "Lucy", 6}
#set
print numbers[2]
print age["Yana"]
(first,second) = things
#dictionary | [
7061,
6,
198,
37,
15922,
11167,
507,
198,
34,
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62,
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11,
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8,
796,
1243,
198,
198,
2,
67,
14188
] | 2.264151 | 159 |
# SPDX-License-Identifier: Apache-2.0
#
# The OpenSearch Contributors require contributions made to
# this file be licensed under the Apache-2.0 license or a
# compatible open source license.
import os
from abc import ABC, abstractmethod
| [
2,
30628,
55,
12,
34156,
12,
33234,
7483,
25,
24843,
12,
17,
13,
15,
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198,
6738,
450,
66,
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11,
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24396,
628
] | 3.75 | 64 |
"""
Example running quick estimate algorithm on synthetic data.
@author: toddkarin
"""
import numpy as np
import pandas as pd
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
import datetime
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import seaborn as sns
from pvpro import PvProHandler
import pvpro
from pvlib.pvsystem import singlediode
# Import synthetic data
df = pd.read_pickle('synth01_out.pkl')
save_figs_directory = 'figures/synth03'
# Make PvProHandler object to store data.
pvp = PvProHandler(df,
system_name='synthetic',
delta_T=3,
use_clear_times=False,
cells_in_series=60,
resistance_shunt_ref=df['resistance_shunt_ref'].mean(),
alpha_isc=0.001,
voltage_key='v_dc',
current_key='i_dc',
temperature_module_key='temperature_module_meas',
irradiance_poa_key='poa_meas',
modules_per_string=1,
parallel_strings=1,
)
# Preprocess
pvp.run_preprocess()
ret = pvp.quick_parameter_extraction(freq='M',
verbose=False,
figure=True
)
# print(ret['p'])
pfit = ret['p']
n = 2
figure = plt.figure(0, figsize=(7.5, 5.5))
plt.clf()
figure.subplots(nrows=4, ncols=3, sharex='all')
# plt.subplots(sharex='all')
plt.subplots_adjust(wspace=0.6, hspace=0.1)
# df['conductance_shunt_ref'] = 1/df['resistance_shunt_ref']
ylabel = {'diode_factor': 'Diode factor',
'photocurrent_ref': 'Photocurrent ref (A)',
'saturation_current_ref': 'I sat ref (nA)',
'resistance_series_ref': 'R series ref (Ohm)',
'resistance_shunt_ref': 'R shunt ref (Ohm)',
'conductance_shunt_ref': 'G shunt ref (1/Ohm)',
'conductance_shunt_extra': 'G shunt extra (1/Ohm)',
'i_sc_ref': 'I sc ref (A)',
'v_oc_ref': 'V oc ref (V)',
'i_mp_ref': 'I mp ref (A)',
'p_mp_ref': 'P mp ref (W)',
'i_x_ref': 'I x ref (A)',
'v_mp_ref': 'V mp ref (V)',
'residual': 'Residual (AU)',
}
plt.subplot(4, 3, 1)
ax = plt.gca()
plt.axis('off')
plt.text(-0.2, 0,
'QUICK ESTIMATE\n' + \
'System: {}\n'.format(pvp.system_name) + \
'Use clear times: {}\n'.format(pvp.use_clear_times) + \
'Temp: {}\n'.format(pvp.temperature_module_key) + \
'Irrad: {}\n'.format(pvp.irradiance_poa_key)
, fontsize=8
)
for k in ['diode_factor', 'photocurrent_ref', 'saturation_current_ref',
'resistance_series_ref',
'conductance_shunt_extra', 'i_mp_ref',
'v_mp_ref',
'p_mp_ref', 'i_sc_ref', 'v_oc_ref', ]:
ax = plt.subplot(4, 3, n)
if k == 'saturation_current_ref':
scale = 1e9
elif k == 'residual':
scale = 1e3
else:
scale = 1
plt.plot(pfit.index, pfit[k] * scale, '.',
color=[0, 0, 0.8],
label='pvpro')
ylims = scale * np.array([np.nanmax(pfit[k]), np.nanmin(pfit[k])])
if k in df.keys():
plt.plot(df.index, df[k] * scale, '--',
color=[1, 0.2, 0.2],
label=True)
ylims[0] = np.min([ylims[0], df[k].min() * scale])
ylims[1] = np.max([ylims[1], df[k].max() * scale])
plt.ylabel(ylabel[k], fontsize=9)
# plt.gca().fmt_xdata = matplotlib.dates.DateFormatter('%Y-%m-%d')
if np.nanmax(pfit[k]) < np.nanmin(pfit[k])*1.2:
plt.ylim(pfit[k].mean() * np.array([0.9, 1.1]))
else:
ylims = ylims + 0.1 * np.array([-1, 1]) * (ylims.max() - ylims.min())
plt.ylim(ylims)
date_form = matplotlib.dates.DateFormatter("%Y")
plt.gca().xaxis.set_major_formatter(date_form)
plt.yticks(fontsize=9)
plt.xticks(fontsize=9, rotation=90)
if n == 3:
plt.legend(loc=[0, 1.2])
# for y in [df.index.]:
# # plt.plot([y,y], [pfit[k].min()*scale, pfit[k].max()*scale] ,'--')
# plt.axvline(y,'--')
# mask = np.logical_and(df.index.month == 1, df.index.day == 1)
# day_ticks = np.arange(len(df))[mask]
# plt.xticks(ticks=df.index[day_ticks].year,
# labels=df.index[day_ticks].year)
n = n + 1
# figure.tight_layout(pad=5)
plt.show()
save_figs = False
if save_figs:
plt.savefig(
'{}/synth01_quickfit_degradation_{}.pdf'.format(save_figs_directory,
pvp.system_name),
bbox_inches='tight')
for f in range(20,25):
plt.figure(f)
plt.savefig(
'{}/synth03_estimate_{}.pdf'.format(save_figs_directory,
f),
bbox_inches='tight')
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] | 1.821033 | 2,710 |
from django.urls import reverse
from django.db.models import Count
from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.forms import formset_factory, modelformset_factory
from .models import *
from .models import TrainingValue
from .models import Training as TrainingModel
from .forms import *
# Create your views here.
# TRAINING #
# DATA TRAINING
# LAB #
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] | 3.513043 | 115 |
import datetime
import re
import simplejson as json
import singer
from google.cloud.bigquery import SchemaField
from jsonschema import validate
from jsonschema.exceptions import ValidationError
# StitchData compatible timestamp meta data
# https://www.stitchdata.com/docs/data-structure/system-tables-and-columns
BATCH_TIMESTAMP = "_sdc_batched_at"
JSONSCHEMA_TYPES = ["object", "array", "string", "integer", "number", "boolean"]
MAX_WARNING = 20
logger = singer.get_logger()
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] | 3.102564 | 156 |
import pytest
from ..api import *
from .examples import *
from ..condition import Condition
# This test is the simplest one I could imagine that exercises the logic where
# disjoint subsets are calculated. The next test is similar, but does much more
# complex work. Hopefully the debugging can take place on this one.
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] | 3.931818 | 88 |
import unittest
# Custom import
from src.performance_metrics.binary_classifier_metrics import BinaryClassifierMetrics
class TestAccuracy(unittest.TestCase):
"""
"""
def test_accuracy_pos(self):
"""
Positive test case for the accuracy function.
"""
# Assume
metrics = BinaryClassifierMetrics()
# Assert
self.assertAlmostEqual(metrics.accuracy(tp=1, tn=1, fp=1, fn=1), 0.5)
def test_accuracy_neg(self):
"""
Negative test case for the accuracy function.
"""
# Assume
metrics = BinaryClassifierMetrics()
# Assert
self.assertNotEqual(metrics.accuracy(tp=1, tn=1, fp=1, fn=1), 0.8)
def test_types(self):
"""
Positive test case for the accuracy function.
"""
# Assume
metrics = BinaryClassifierMetrics()
# Assert
with self.assertRaises(TypeError):
metrics.accuracy(1.0, 2, 3, 4)
with self.assertRaises(TypeError):
metrics.accuracy(1, 2.0, 3, 4)
with self.assertRaises(TypeError):
metrics.accuracy(1, 2, 3.0, 4)
with self.assertRaises(TypeError):
metrics.accuracy(1, 2, 3, 4.0)
def test_values(self):
"""
Positive test case for the accuracy function.
"""
# Assume
metrics = BinaryClassifierMetrics()
# Assert
with self.assertRaises(ValueError):
metrics.accuracy(None, 2, 3, 4)
with self.assertRaises(ValueError):
metrics.accuracy(1, None, 3, 4)
with self.assertRaises(ValueError):
metrics.accuracy(1, 2, None, 4)
with self.assertRaises(ValueError):
metrics.accuracy(1, 2, 3, None)
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] | 2.141827 | 832 |
import random
import torch
import numbers
from torchvision.transforms import Lambda, functional as F
class ColorJitter(object):
"""Randomly change the brightness, contrast and saturation of an image.
Args:
brightness (float or tuple of float (min, max)): How much to jitter brightness.
brightness_factor is chosen uniformly from [max(0, 1 - brightness), 1 + brightness]
or the given [min, max]. Should be non negative numbers.
contrast (float or tuple of float (min, max)): How much to jitter contrast.
contrast_factor is chosen uniformly from [max(0, 1 - contrast), 1 + contrast]
or the given [min, max]. Should be non negative numbers.
saturation (float or tuple of float (min, max)): How much to jitter saturation.
saturation_factor is chosen uniformly from [max(0, 1 - saturation), 1 + saturation]
or the given [min, max]. Should be non negative numbers.
hue (float or tuple of float (min, max)): How much to jitter hue.
hue_factor is chosen uniformly from [-hue, hue] or the given [min, max].
Should have 0<= hue <= 0.5 or -0.5 <= min <= max <= 0.5.
"""
@staticmethod
def get_params(brightness, contrast, saturation, hue):
"""Get a randomized transform to be applied on image.
Arguments are same as that of __init__.
Returns:
Transform which randomly adjusts brightness, contrast and
saturation in a random order.
"""
transforms = []
if brightness is not None:
brightness_factor = random.uniform(brightness[0], brightness[1])
transforms.append(Lambda(lambda img: F.adjust_brightness(img, brightness_factor)))
if contrast is not None:
contrast_factor = random.uniform(contrast[0], contrast[1])
transforms.append(Lambda(lambda img: F.adjust_contrast(img, contrast_factor)))
if saturation is not None:
saturation_factor = random.uniform(saturation[0], saturation[1])
transforms.append(Lambda(lambda img: F.adjust_saturation(img, saturation_factor)))
if hue is not None:
hue_factor = random.uniform(hue[0], hue[1])
transforms.append(Lambda(lambda img: F.adjust_hue(img, hue_factor)))
random.shuffle(transforms)
transform = Compose(transforms)
return transform
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] | 2.58342 | 965 |
import os
from leapp.libraries.common.config import mock_configs
from leapp.models import (
DNFWorkaround,
InstalledRPM,
Module,
RepositoriesSetupTasks,
RPM,
RpmTransactionTasks,
SatelliteFacts
)
from leapp.snactor.fixture import current_actor_context
RH_PACKAGER = 'Red Hat, Inc. <http://bugzilla.redhat.com/bugzilla>'
FOREMAN_RPM = fake_package('foreman')
FOREMAN_PROXY_RPM = fake_package('foreman-proxy')
KATELLO_INSTALLER_RPM = fake_package('foreman-installer-katello')
KATELLO_RPM = fake_package('katello')
POSTGRESQL_RPM = fake_package('rh-postgresql12-postgresql-server')
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] | 2.536585 | 246 |
import sys
import inspect
from typing import Any
from cowait.types import serialize
from .definition import TaskDefinition
from .components import TaskManager, RpcComponent, rpc
from .parent_task import ParentTask
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] | 4.215686 | 51 |
import sys
import os
import urllib.request
import urllib.error
import logging
import subprocess
from typing import Optional, Dict
from urllib.error import ContentTooShortError
logger = logging.getLogger(__name__)
DEFAULT_HEADERS = {
'User-Agent':
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:12.0) Gecko/20100101 Firefox/12.0'
}
def download(url: str, dl_path: str):
"""
Will download the file to dl_path, return True on success
:param curfnr: Current file number
:param maxfnr: Max files to download
:return: Current file nr(int)
"""
# get head (everythin b4 last part of path ("/" last -> tail empty,
# filename or dir(without /) -> tail)) of path; no slash in path -> head empty
dirpath, fn = os.path.split(dl_path)
if dirpath:
os.makedirs(dirpath, exist_ok=True)
try:
_, headers = urllib.request.urlretrieve(url, dl_path) # reporthook=prog_bar_dl)
except urllib.error.HTTPError as err:
# catch this more detailed first then broader one (HTTPError is subclass of URLError)
logger.warning("HTTP Error %s: %s: \"%s\"", err.code, err.reason, url)
return False, None
except urllib.error.URLError as err:
logger.warning("URL Error %s: \"%s\"", err.reason, url)
return False, None
else:
return True, headers
def get_url_file_size(url: str) -> int:
"""Returns file size in bytes that is reported in Content-Length Header"""
with urllib.request.urlopen(url) as response:
reported_file_size = int(response.info()["Content-Length"])
return reported_file_size
def prog_bar_dl(blocknum: int, blocksize: int, totalsize: int) -> None:
"""
Displays a progress bar to sys.stdout
blocknum * blocksize == bytes read so far
Only display MB read when total size is -1
Calc percentage of file download, number of blocks to display is bar length * percent/100
String to display is Downloading: xx.x% [#*block_nr + "-"*(bar_len-block_nr)] xx.xx MB
http://stackoverflow.com/questions/13881092/download-progressbar-for-python-3
by J.F. Sebastian
combined with:
http://stackoverflow.com/questions/3160699/python-progress-bar
by Brian Khuu
and modified
:param blocknum: Count of blocks transferred so far
:param blocksize: Block size in bytes
:param totalsize: Total size of the file in bytes
:return: None
"""
bar_len = 25 # Modify this to change the length of the progress bar
# blocknum is current block, blocksize the size of each block in bytes
readsofar = blocknum * blocksize
if totalsize > 0:
percent = readsofar * 1e2 / totalsize # 1e2 == 100.0
# nr of blocks
block_nr = int(round(bar_len*readsofar/totalsize))
# %5.1f: pad to 5 chars and display one decimal, type float, %% -> escaped %sign
# %*d -> Parametrized, width -> len(str(totalsize)), value -> readsofar
# s = "\rDownloading: %5.1f%% %*d / %d" % (percent, len(str(totalsize)), readsofar, totalsize)
sn = "\rDownloading: {:4.1f}% [{}] {:4.2f} / {:.2f} MB".format(percent, "#"*block_nr + "-"*(bar_len-block_nr),
readsofar / 1024**2, totalsize / 1024**2)
sys.stdout.write(sn)
if readsofar >= totalsize: # near the end
sys.stdout.write("\n")
else: # total size is unknown
sys.stdout.write("\rDownloading: %.2f MB" % (readsofar / 1024**2,))
# Python's standard out is buffered (meaning that it collects some of the data "written" to standard out before
# it writes it to the terminal). flush() forces it to "flush" the buffer, meaning that it will write everything
# in the buffer to the terminal, even if normally it would wait before doing so.
sys.stdout.flush()
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] | 2.581317 | 1,488 |
for count in range(6):
name = input()
print("hello ", name) | [
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# -*- coding: utf-8 -*-
import os
import json
import decimal
import simplejson
import couchdb.json
from couchdb import util
from logging import getLogger
from datetime import datetime, timedelta
from base64 import b64encode, b64decode
from cornice.resource import resource, view
from email.header import decode_header
from functools import partial
from jsonpatch import make_patch, apply_patch as _apply_patch
from openprocurement.api.traversal import factory
from rfc6266 import build_header
from time import time as ttime
from urllib import quote, unquote, urlencode
from urlparse import urlparse, urlunsplit, parse_qsl
from uuid import uuid4
from webob.multidict import NestedMultiDict
from binascii import hexlify, unhexlify
from Crypto.Cipher import AES
from cornice.util import json_error
from json import dumps
from schematics.exceptions import ValidationError
from couchdb_schematics.document import SchematicsDocument
from openprocurement.api.events import ErrorDesctiptorEvent
from openprocurement.api.constants import LOGGER
from openprocurement.api.constants import (
ADDITIONAL_CLASSIFICATIONS_SCHEMES, DOCUMENT_BLACKLISTED_FIELDS,
DOCUMENT_WHITELISTED_FIELDS, ROUTE_PREFIX, TZ, SESSION
)
from openprocurement.api.interfaces import IOPContent
from openprocurement.api.interfaces import IContentConfigurator
json_view = partial(view, renderer='simplejson')
def get_root(item):
""" traverse back to root op content object (plan, tender, contract, etc.)
"""
while not IOPContent.providedBy(item):
item = item.__parent__
return item
def raise_operation_error(request, message):
"""
This function mostly used in views validators to add access errors and
raise exceptions if requested operation is forbidden.
"""
request.errors.add('body', 'data', message)
request.errors.status = 403
raise error_handler(request.errors)
opresource = partial(resource, error_handler=error_handler, factory=factory)
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__all__ = ['interface']
| [
834,
439,
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] | 3 | 8 |
def test_account_model(db_session):
"""test make a new user account"""
from ..models import Account
assert len(db_session.query(Account).all()) == 0
user = Account(
username='me',
password='me',
email='[email protected]',
)
db_session.add(user)
assert len(db_session.query(Account).all()) == 1
# def test_make_user_no_password(db_session):
# """test can't make new user with no password"""
# from ..models import Account
# import pytest
# from sqlalchemy.exc import DBAPIError
# assert len(db_session.query(Account).all()) == 0
# user = Account(
# username='me',
# password=None,
# email='[email protected]',
# )
# with pytest.raises(DBAPIError):
# db_session.add(user)
# assert len(db_session.query(Account).all()) == 0
# assert db_session.query(Account).one_or_none() is None
def test_make_user_no_email(db_session):
"""test can make new user with no email"""
from ..models import Account
assert len(db_session.query(Account).all()) == 0
user = Account(
username='me',
password='me',
email='',
)
db_session.add(user)
assert len(db_session.query(Account).all()) == 1
def test_new_user_in_database(db_session):
"""test new user gets added to database"""
from ..models import Account
assert len(db_session.query(Account).all()) == 0
user = Account(
username='me',
password='me',
email='',
)
db_session.add(user)
query = db_session.query(Account)
assert query.filter(Account.username == 'me').first()
assert len(db_session.query(Account).all()) == 1
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] | 2.460641 | 686 |
#!/usr/bin/env python3
import os
import json
import pprint
import requests
from dateutil.parser import parse as parsedate
with open("cameras.json") as f:
cameras = json.load(f)
with open("unavailable.jpg", "rb") as f:
unavailable = f.read()
camIds = sorted([int(c["properties"]["id"]) for c in cameras["features"]])
for camId in camIds:
path = f"images/{camId}/"
os.makedirs(path, exist_ok=True)
imageUrl = f"https://www.trafficnz.info/camera/{camId}.jpg"
try:
r = requests.get(imageUrl, timeout=5)
if r.content == unavailable:
print(camId, "unavailable")
continue
lastModified = r.headers["Last-Modified"]
lastModified = parsedate(lastModified).strftime("%Y-%m-%d-%H%M%S")
print(camId, lastModified)
with open(path + lastModified + ".jpg", "wb") as f:
f.write(r.content)
except Exception as e:
print(camId, e) | [
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8,
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220,
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351,
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7,
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5841,
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9479,
1600,
366,
39346,
4943,
355,
277,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
277,
13,
13564,
7,
81,
13,
11299,
8,
198,
220,
220,
220,
2845,
35528,
355,
304,
25,
198,
220,
220,
220,
220,
220,
220,
220,
3601,
7,
20991,
7390,
11,
304,
8
] | 2.315136 | 403 |
# Tests the various Containers / Classes found in results.py
import os
import sys
import util
from pyflight.result import *
from pyflight.models.flight_data import FlightData
# Test the FlightData Container
# Test the Airport Container
first_result = Result(util.download_file_if_not_exists(
url="https://developers.google.com/qpx-express/v1/json.samples/SFOLAX.out.json",
filename="response_1.json"
))
second_result = Result(util.download_file_if_not_exists(
url="https://developers.google.com/qpx-express/v1/json.samples/OGGNCE.out.json",
filename="response_2.json"
))
# Test the Entry grabbing from the Result Container
# Test correct Grabbing of Aircraft
# Test correct Grabbing of Airports
# Test correct Grabbing of Carriers
# Test correct Grabbing of Taxes
# Test correct Grabbing of Trips
# Test correct Grabbing of Routes
# Test correct Grabbing of Route Segments
# Test correct Grabbing of Route Segment Flights
# Test correct Grabbing of Pricing Data
| [
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] | 3.29085 | 306 |
"""Error classes for authentise_services"""
class ResourceError(Exception):
"""arbitrary error whenever a call to a authentise resource doesnt go according to plan"""
pass
class ResourceStillProcessing(Exception):
"""most authentise resources have a status property to tell the user what state its in
Whenever the resource isnt ready in some way or another, throw one of these"""
pass
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from redis_cache.exceptions import ConnectionInterrumped
from django.conf import settings
import django.core.exceptions
from dimagi.utils.couch.cache import cache_core
rcache = cache_core.get_redis_default_cache()
############################################################################################################
from corehq.apps.users.models import CouchUser, PublicUser, InvalidUser
from corehq.apps.domain.models import Domain
SESSION_USER_KEY_PREFIX = "session_user_doc_%s"
#def process_request(self, request):
############################################################################################################
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] | 4.152866 | 157 |
# -*- coding: utf-8 -*-
"""
This file represents how AST worked before python3.8 release.
We used to have violations on the first decorator
that wraps function, method, or a class.
We also store here things that are ``SyntaxError`` in python3.8 and above.
"""
@first # noqa: WPS216
@second
@third(param='a')
@fourth
@fifth()
@error
iters = list((yield letter) for letter in 'ab') # noqa: WPS416
| [
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# Generated by Django 3.2.6 on 2021-08-12 15:38
from django.db import migrations, models
| [
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] | 2.84375 | 32 |
import sys
import os
import os.path
import glob
import collections
import re
import numpy as np
import scipy as sp
import scipy.integrate
import scipy.special
import theano
import theano.tensor as tt
from theano.printing import Print
from theano import gof
use_accel = True
if use_accel:
from . import mixednoise_accel
pass
import pymc3 as pm
#import pandas as pd
from theano.compile.ops import as_op
from theano.gradient import grad_not_implemented
if __name__=="__main__":
pass
| [
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198
] | 2.385593 | 236 |
#!/usr/bin/env python
import os
import sys
import click
import yaml
from urllib import request
from evernode.classes import Json, Security
class Create:
""" Easy evernode app creation"""
app_name = None
dir_name = None
config_file = None
uwsgi_file = None
app_file = None
http_messages_file = None
branch = None
| [
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201,
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] | 2.503401 | 147 |
from ..option import Option
| [
6738,
11485,
18076,
1330,
16018,
198
] | 4.666667 | 6 |
from enum import Enum
ServerName = 'Http Technopark Highload server'
HttpVersion = '1.1'
| [
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"""
Copyright 2017-present, Airbnb Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from mock import patch
from moto import mock_kinesis
from nose.tools import assert_equal, assert_false, assert_true
from stream_alert.rule_processor.firehose import FirehoseClient
from stream_alert.shared.config import load_config
@patch('stream_alert.rule_processor.firehose.FirehoseClient.MAX_BACKOFF_ATTEMPTS', 1)
class TestFirehoseClient(object):
"""Test class for FirehoseClient"""
# pylint: disable=protected-access,no-self-use,attribute-defined-outside-init
def setup(self):
"""Setup before each method"""
self.sa_firehose = FirehoseClient(region='us-east-1')
def teardown(self):
"""Teardown after each method"""
FirehoseClient._ENABLED_LOGS.clear()
@staticmethod
@mock_kinesis
def _mock_delivery_streams(self, delivery_stream_names):
"""Mock Kinesis Delivery Streams for tests"""
for delivery_stream in delivery_stream_names:
self.sa_firehose._client.create_delivery_stream(
DeliveryStreamName=delivery_stream,
S3DestinationConfiguration={
'RoleARN': 'arn:aws:iam::123456789012:role/firehose_delivery_role',
'BucketARN': 'arn:aws:s3:::kinesis-test',
'Prefix': '{}/'.format(delivery_stream),
'BufferingHints': {
'SizeInMBs': 123,
'IntervalInSeconds': 124
},
'CompressionFormat': 'Snappy',
})
@patch('stream_alert.rule_processor.firehose.LOGGER')
@mock_kinesis
def test_record_delivery_failed_put_count(self, mock_logging):
"""FirehoseClient - Record Delivery - Failed Put Count"""
# Add sample categorized payloads
for payload_type, logs in self._sample_categorized_payloads().iteritems():
self.sa_firehose._categorized_payloads[payload_type].extend(logs)
# Setup mocked Delivery Streams
self._mock_delivery_streams(
['streamalert_data_test_log_type_json_nested', 'streamalert_data_unit_test_simple_log'])
with patch.object(self.sa_firehose._client, 'put_record_batch') as firehose_mock:
firehose_mock.side_effect = [{
'FailedPutCount':
3,
'RequestResponses': [{
"ErrorCode": "ServiceUnavailableException",
"ErrorMessage": "Slow down."
}, {
"ErrorCode": "ServiceUnavailableException",
"ErrorMessage": "Slow down."
}, {
"ErrorCode": "ServiceUnavailableException",
"ErrorMessage": "Slow down."
}]
}, {
'FailedPutCount':
3,
'RequestResponses': [{
"ErrorCode": "ServiceUnavailableException",
"ErrorMessage": "Slow down."
}, {
"ErrorCode": "ServiceUnavailableException",
"ErrorMessage": "Slow down."
}, {
"ErrorCode": "ServiceUnavailableException",
"ErrorMessage": "Slow down."
}]
}, {
'FailedPutCount':
0,
'RequestResponses': [{
"RecordId": "12345678910",
"ErrorCode": "None",
"ErrorMessage": "None"
}, {
"RecordId": "12345678910",
"ErrorCode": "None",
"ErrorMessage": "None"
}, {
"RecordId": "12345678910",
"ErrorCode": "None",
"ErrorMessage": "None"
}]
}]
self.sa_firehose.send()
firehose_mock.assert_called()
assert_true(mock_logging.info.called)
@patch('stream_alert.rule_processor.firehose.LOGGER')
@mock_kinesis
def test_record_delivery(self, mock_logging):
"""FirehoseClient - Record Delivery"""
# Add sample categorized payloads
for payload_type, logs in self._sample_categorized_payloads().iteritems():
self.sa_firehose._categorized_payloads[payload_type].extend(logs)
# Setup mocked Delivery Streams
self._mock_delivery_streams(
['streamalert_data_test_log_type_json_nested', 'streamalert_data_unit_test_simple_log'])
# Send the records
with patch.object(self.sa_firehose._client, 'put_record_batch') as firehose_mock:
firehose_mock.return_value = {'FailedPutCount': 0}
self.sa_firehose.send()
firehose_mock.assert_called()
assert_true(mock_logging.info.called)
@patch('stream_alert.rule_processor.firehose.LOGGER')
@mock_kinesis
def test_record_delivery_failure(self, mock_logging):
"""FirehoseClient - Record Delivery - Failed PutRecord"""
# Add sample categorized payloads
for payload_type, logs in self._sample_categorized_payloads().iteritems():
self.sa_firehose._categorized_payloads[payload_type].extend(logs)
# Setup mocked Delivery Streams
self._mock_delivery_streams(
['streamalert_data_test_log_type_json_nested', 'streamalert_data_unit_test_simple_log'])
# Send the records
with patch.object(self.sa_firehose._client, 'put_record_batch') as firehose_mock:
firehose_mock.return_value = {
'FailedPutCount':
3,
'RequestResponses': [
{
'RecordId': '12345',
'ErrorCode': '300',
'ErrorMessage': 'Bad message!!!'
},
]
}
self.sa_firehose.send()
firehose_mock.assert_called()
assert_true(mock_logging.error.called)
@patch('stream_alert.rule_processor.firehose.LOGGER')
@mock_kinesis
def test_record_delivery_client_error(self, mock_logging):
"""FirehoseClient - Record Delivery - Client Error"""
test_events = [
# unit_test_simple_log
{
'unit_key_01': 2,
'unit_key_02': 'testtest'
} for _ in range(10)
]
self.sa_firehose._firehose_request_helper('invalid_stream', test_events)
missing_stream_message = 'Client Error ... An error occurred ' \
'(ResourceNotFoundException) when calling the PutRecordBatch ' \
'operation: Stream invalid_stream under account 123456789012 not found.'
assert_true(mock_logging.error.called_with(missing_stream_message))
@mock_kinesis
def test_load_enabled_sources(self):
"""FirehoseClient - Load Enabled Sources"""
config = load_config('tests/unit/conf')
firehose_config = {
'enabled_logs': ['json:regex_key_with_envelope', 'test_cloudtrail', 'cloudwatch']
} # expands to 2 logs
enabled_logs = FirehoseClient.load_enabled_log_sources(firehose_config, config['logs'])
assert_equal(len(enabled_logs), 4)
# Make sure the subtitution works properly
assert_true(all([':' not in log for log in enabled_logs]))
assert_false(FirehoseClient.enabled_log_source('test_inspec'))
@patch('stream_alert.rule_processor.firehose.LOGGER.error')
@mock_kinesis
def test_load_enabled_sources_invalid_log(self, mock_logging):
"""FirehoseClient - Load Enabled Sources - Invalid Log"""
config = load_config('tests/unit/conf')
firehose_config = {'enabled_logs': ['log-that-doesnt-exist']}
sa_firehose = FirehoseClient(
region='us-east-1', firehose_config=firehose_config, log_sources=config['logs'])
assert_equal(len(sa_firehose._ENABLED_LOGS), 0)
mock_logging.assert_called_with(
'Enabled Firehose log %s not declared in logs.json', 'log-that-doesnt-exist'
)
def test_strip_successful_records(self):
"""FirehoseClient - Strip Successful Records"""
batch = [{'test': 'success'}, {'test': 'data'}, {'other': 'failure'}, {'other': 'info'}]
response = {
'FailedPutCount': 1,
'RequestResponses': [
{'RecordId': 'rec_id_00'},
{'RecordId': 'rec_id_01'},
{'ErrorCode': 10, 'ErrorMessage': 'foo'},
{'RecordId': 'rec_id_03'}
]
}
expected_batch = [{'other': 'failure'}]
FirehoseClient._strip_successful_records(batch, response)
assert_equal(batch, expected_batch)
def test_segment_records_by_size(self):
"""FirehoseClient - Segment Large Records"""
record_batch = [
# unit_test_simple_log
{
'unit_key_01': 2,
'unit_key_02': 'testtest' * 10000
} for _ in range(100)
]
sized_batches = []
for sized_batch in FirehoseClient._segment_records_by_size(record_batch):
sized_batches.append(sized_batch)
assert_true(len(str(sized_batches[0])) < 4000000)
assert_equal(len(sized_batches), 4)
assert_true(isinstance(sized_batches[3][0], dict))
def test_sanitize_keys(self):
"""FirehoseClient - Sanitize Keys"""
# test_log_type_json_nested
test_event = {
'date': 'January 01, 3005',
'unixtime': '32661446400',
'host': 'my-host.name.website.com',
'data': {
'super-duper': 'secret',
'sanitize_me': 1,
'example-key': 1,
'moar**data': 2,
'even.more': 3
}
}
expected_sanitized_event = {
'date': 'January 01, 3005',
'unixtime': '32661446400',
'host': 'my-host.name.website.com',
'data': {
'super_duper': 'secret',
'sanitize_me': 1,
'example_key': 1,
'moar__data': 2,
'even_more': 3
}
}
sanitized_event = FirehoseClient.sanitize_keys(test_event)
assert_equal(sanitized_event, expected_sanitized_event)
@patch('stream_alert.rule_processor.firehose.LOGGER')
def test_limit_record_size(self, mock_logging):
"""FirehoseClient - Record Size Check"""
test_events = [
# unit_test_simple_log
{
'unit_key_01': 1,
'unit_key_02': 'test' * 250001 # is 4 bytes higher than max
},
{
'unit_key_01': 2,
'unit_key_02': 'test'
},
# test_log_type_json_nested
{
'date': 'January 01, 3005',
'unixtime': '32661446400',
'host': 'my-host.name.website.com',
'data': {
'super': 'secret'
}
},
# add another unit_test_sample_log to verify in a different position
{
'unit_key_01': 1,
'unit_key_02': 'test' * 250001 # is 4 bytes higher than max
},
{
'test': 1
}
]
FirehoseClient._limit_record_size(test_events)
assert_true(len(test_events), 3)
assert_true(mock_logging.error.called)
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] | 2.008786 | 6,032 |
# -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2018-05-11 06:19
from __future__ import unicode_literals
from django.db import migrations
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] | 2.754717 | 53 |
import unittest
import numpy as np
from math import exp
from scipy.special import expit
from dl4nlp.utilities import sigmoid_gradient, softmax
if __name__ == '__main__':
unittest.main()
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] | 2.865672 | 67 |
'''
author = Zhijing Jin ([email protected])
date = Aug 24, 2019
How to Run:
python bleu.py \
-refs data/ref0.txt data/ref1.txt -hyps data/hyp0.txt
'''
from __future__ import print_function, division
import os
import json
import argparse
from .download import TMP_DIR, DETOK_FILE, BLEU_DETOK_FILE, BLEU_FILE
def multi_file_bleu(ref_files, hyp_files, detok=True, verbose=False):
'''
This is to get the average BLEU for hyp among ref0, ref1, ref2, ...
:param hyp_files: a list of filenames for hypothesis
:param ref_files: a list of filenames for references
:return: print a bleu score
'''
from efficiency.function import shell
# check for wrong input of ref_list, and correct it
if isinstance(ref_files, str):
ref_files = [ref_files]
ref_files, hyp_files = \
preprocess_files(ref_files, hyp_files, verbose=verbose)
outputs = []
script = BLEU_DETOK_FILE if detok else BLEU_FILE
for hyp in hyp_files:
cmd = 'perl {script} {refs} < {hyp} '.format(
script=script,refs=' '.join(ref_files), hyp=hyp)
if verbose: print('[cmd]', cmd)
stdout, stderr = shell(cmd)
bleu_prefix = 'BLEU = '
if verbose and not stdout.startswith(bleu_prefix):
print(stdout)
if bleu_prefix in stdout:
num = stdout.split(bleu_prefix, 1)[-1].split(',')[0]
output = float(num)
else:
# if stdout.startswith('Illegal division by zero'):
output = -1
outputs += [output]
if verbose:
print('{}-ref bleu for {}: {}'.format(len(ref_files), hyp, output))
return outputs
def detok_files(files_in, tmp_dir=TMP_DIR, file_prefix='detok', verbose=False):
'''
This is to detokenize all files
:param files: a list of filenames
:return: a list of files after detokenization
'''
files_out = []
if not os.path.isdir(tmp_dir): os.mkdir(tmp_dir)
for ix, f_in in enumerate(files_in):
f_out = os.path.join(tmp_dir, '{}{}.txt'.format(file_prefix, ix))
files_out.append(f_out)
cmd = 'perl {DETOK_FILE} -l en < {f_in} > {f_out} 2>/dev/null'.format(
DETOK_FILE=DETOK_FILE, f_in=f_in, f_out=f_out)
if verbose: print('[cmd]', cmd)
os.system(cmd)
return files_out
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('-refs', default=['data/ref0.txt', 'data/ref1.txt'],
nargs='+', type=str,
help='a list of filenames for reference files, separated by space')
parser.add_argument('-hyps', default=['data/hyp0.txt'], nargs='+', type=str,
help='a list of filenames for hypothesis files, separated by space')
parser.add_argument('-data_dir', default='', type=str,
help='directory to save temporary outputs')
parser.add_argument('-verbose', action='store_true',
help='whether to allow printing out logs')
args = parser.parse_args()
main(args)
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
11639,
25356,
284,
1249,
13570,
503,
17259,
11537,
628,
220,
220,
220,
26498,
796,
30751,
13,
29572,
62,
22046,
3419,
198,
220,
220,
220,
1388,
7,
22046,
8,
198
] | 2.241504 | 1,383 |
__author__ = 'Yunxi Lin'
from pages.BasePage import BasePage | [
834,
9800,
834,
796,
705,
56,
403,
29992,
5164,
6,
198,
198,
6738,
5468,
13,
14881,
9876,
1330,
7308,
9876
] | 3.05 | 20 |
#############################################################################
##
## Copyright (C) 2010 velociraptor Genjix <[email protected]>
## Copyright (C) 2016 The Qt Company Ltd.
## Contact: http://www.qt.io/licensing/
##
## This file is part of the Qt for Python examples of the Qt Toolkit.
##
## $QT_BEGIN_LICENSE:BSD$
## You may use this file under the terms of the BSD license as follows:
##
## "Redistribution and use in source and binary forms, with or without
## modification, are permitted provided that the following conditions are
## met:
## * Redistributions of source code must retain the above copyright
## notice, this list of conditions and the following disclaimer.
## * Redistributions in binary form must reproduce the above copyright
## notice, this list of conditions and the following disclaimer in
## the documentation and/or other materials provided with the
## distribution.
## * Neither the name of The Qt Company Ltd nor the names of its
## contributors may be used to endorse or promote products derived
## from this software without specific prior written permission.
##
##
## THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
## "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
## LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
## A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
## 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."
##
## $QT_END_LICENSE$
##
#############################################################################
from PySide6.QtWidgets import *
from PySide6.QtGui import *
from PySide6.QtCore import *
if __name__ == '__main__':
import sys
app = QApplication(sys.argv)
mainWin = MainWindow()
sys.exit(app.exec_())
| [
29113,
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220,
25064,
13,
37023,
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1324,
13,
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62,
28955,
198
] | 3.417299 | 659 |
from google_images_download import google_images_download
# creating object
response = google_images_download.googleimagesdownload()
search_queries =['apple','cat','appropriate','exorbitant']
for query in search_queries:
downloadimages(query)
print()
| [
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201,
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] | 2.825243 | 103 |
import shutil
from contextlib import contextmanager
import pytest
from indy_common.config_helper import NodeConfigHelper
from indy_node.test.helper import TestNode
from plenum.test.node_catchup.helper import ensure_all_nodes_have_same_data
from plenum.test.test_node import ensureElectionsDone, ensure_node_disconnected, checkNodesConnected
from indy_node.test.auth_rule.helper import sdk_send_and_check_auth_rule_request, sdk_send_and_check_get_auth_rule_request
from indy_common.authorize.auth_actions import ADD_PREFIX, AuthActionAdd
from indy_common.authorize.auth_constraints import AuthConstraint, ROLE
from indy_common.constants import CONSTRAINT, AUTH_TYPE, CONFIG_LEDGER_ID, NYM
from indy_common.authorize.auth_map import one_trustee_constraint
from plenum.common.constants import STEWARD, DATA
from plenum.common.exceptions import RequestNackedException
@contextmanager
def extend_auth_map(nodes, key, constraint):
"""
Context manager to add a new auth rule to the auth map and remove it on exit.
:param nodes: nodes list which auth maps should be changed
:param key: str gotten from AuthActionAdd(...).get_action_id()
:param constraint: AuthConstraint
"""
for node in nodes:
node.write_req_validator.auth_map[key] = constraint
yield
for node in nodes:
node.write_req_validator.auth_map.pop(key, None)
def test_auth_txn_with_deprecated_key(tconf, tdir, allPluginsPath,
txnPoolNodeSet,
looper,
sdk_wallet_trustee,
sdk_pool_handle):
"""
Add to the auth_map a fake rule
Send AUTH_RULE txn to change this fake rule (and set the fake key to the config state)
Send GET_AUTH_RULE txn and check that the fake rule was changed
Remove the fake auth rule from the map
Check that we can't get the fake auth rule
Restart the last node with its state regeneration
Check that nodes data is equal after changing the existing auth rule (restarted node regenerate config state)
"""
fake_txn_type = "100002"
fake_key = AuthActionAdd(txn_type=fake_txn_type,
field="*",
value="*").get_action_id()
fake_constraint = one_trustee_constraint
new_auth_constraint = AuthConstraint(role=STEWARD, sig_count=1, need_to_be_owner=False).as_dict
# Add to the auth_map a fake rule
with extend_auth_map(txnPoolNodeSet,
fake_key,
fake_constraint):
# Send AUTH_RULE txn to change this fake rule (and set the fake key to the config state)
sdk_send_and_check_auth_rule_request(looper,
sdk_pool_handle,
sdk_wallet_trustee,
auth_action=ADD_PREFIX,
auth_type=fake_txn_type,
field='*',
new_value='*',
constraint=new_auth_constraint)
# Send GET_AUTH_RULE txn and check that the fake rule was changed
result = sdk_send_and_check_get_auth_rule_request(
looper,
sdk_pool_handle,
sdk_wallet_trustee,
auth_type=fake_txn_type,
auth_action=ADD_PREFIX,
field="*",
new_value="*"
)[0][1]["result"][DATA][0]
assert result[AUTH_TYPE] == fake_txn_type
assert result[CONSTRAINT] == new_auth_constraint
# Remove the fake auth rule from the map
# Check that we can't get the fake auth rule
with pytest.raises(RequestNackedException, match="not found in authorization map"):
sdk_send_and_check_auth_rule_request(looper,
sdk_pool_handle,
sdk_wallet_trustee,
auth_action=ADD_PREFIX,
auth_type=fake_txn_type,
field='*',
new_value='*',
constraint=AuthConstraint(role=STEWARD, sig_count=2,
need_to_be_owner=False).as_dict)
resp = sdk_send_and_check_get_auth_rule_request(looper,
sdk_pool_handle,
sdk_wallet_trustee)
assert all(rule[AUTH_TYPE] != fake_txn_type for rule in resp[0][1]["result"][DATA])
with pytest.raises(RequestNackedException, match="not found in authorization map"):
sdk_send_and_check_get_auth_rule_request(
looper,
sdk_pool_handle,
sdk_wallet_trustee,
auth_type=fake_txn_type,
auth_action=ADD_PREFIX,
field="*",
new_value="*"
)
# Restart the last node with its state regeneration
ensure_all_nodes_have_same_data(looper, txnPoolNodeSet)
node_to_stop = txnPoolNodeSet[-1]
node_state = node_to_stop.states[CONFIG_LEDGER_ID]
assert not node_state.isEmpty
state_db_path = node_state._kv.db_path
node_to_stop.cleanupOnStopping = False
node_to_stop.stop()
looper.removeProdable(node_to_stop)
ensure_node_disconnected(looper, node_to_stop, txnPoolNodeSet[:-1])
shutil.rmtree(state_db_path)
config_helper = NodeConfigHelper(node_to_stop.name, tconf, chroot=tdir)
restarted_node = TestNode(
node_to_stop.name,
config_helper=config_helper,
config=tconf,
pluginPaths=allPluginsPath,
ha=node_to_stop.nodestack.ha,
cliha=node_to_stop.clientstack.ha)
looper.add(restarted_node)
txnPoolNodeSet[-1] = restarted_node
# Check that nodes data is equal (restarted node regenerate config state)
looper.run(checkNodesConnected(txnPoolNodeSet))
ensureElectionsDone(looper, txnPoolNodeSet, customTimeout=30)
sdk_send_and_check_auth_rule_request(looper,
sdk_pool_handle,
sdk_wallet_trustee,
auth_action=ADD_PREFIX,
auth_type=NYM,
field=ROLE,
new_value=STEWARD,
constraint=AuthConstraint(role=STEWARD, sig_count=2,
need_to_be_owner=False).as_dict)
ensure_all_nodes_have_same_data(looper, txnPoolNodeSet, custom_timeout=20)
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# -*- coding: utf-8 -*-
# If y != None, constructs the unordered pair (x, y)
# If y == None, constructs an unordered pair from iterable x, e.g. a tuple
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#!/usr/bin/env python
import leginon.leginondata
import sys
import getpass
import sets
days = int(raw_input('Days: '))
## make set of all application names
appquery = leginon.leginondata.ApplicationData()
apps = appquery.query()
print 'APPS', len(apps)
allapps = sets.Set()
allappsdict = {}
for app in apps:
appname = app['name']
allapps.add(appname)
if appname in allappsdict:
allappsdict[appname].append(app)
else:
allappsdict[appname] = [app]
print 'ALL', len(allapps)
## make set off apps launched in last n days
launchquery = leginon.leginondata.LaunchedApplicationData()
timelimit = '-%d 0:0:0' % (days,)
launchedapps = launchquery.query(timelimit=timelimit)
recentapps = []
for launchedapp in launchedapps:
try:
appname = launchedapp['application']['name']
except:
continue
if appname not in recentapps:
recentapps.append(appname)
print 'RECENT', len(recentapps)
## make set off apps not launched in last n days
notrecentapps = allapps - sets.Set(recentapps)
print 'NOTRECENT', len(notrecentapps)
print 'Most Recently Launched (last %d days = %d apps):' % (days,len(recentapps))
for recent in recentapps:
print '\t%s' % (recent,)
print 'Others Sorted Alphabetically'
others = list(notrecentapps)
others.sort()
for other in others:
print '\t%s' % (other,)
| [
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4798,
705,
59,
83,
4,
82,
6,
4064,
357,
847,
35751,
198
] | 2.837004 | 454 |
import timeit
setup = '''
import scipy.sparse as sp
import numpy as np
from bisect import bisect
from numpy.random import rand, randint
import submatrix as s
r = [10,20,30]
A = s.randomMatrix()
'''
t = timeit.Timer("s.subMatrix(r,r,A)", setup).repeat(3, 10)
print t
#print t.timeit()
| [
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256,
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] | 2.508621 | 116 |
# coding: utf-8
from typing import Dict, List # noqa: F401
from fastapi import ( # noqa: F401
APIRouter,
Body,
Cookie,
Depends,
Form,
Header,
Path,
Query,
Request,
Response,
Security,
status,
)
from acapy_wrapper.models.extra_models import TokenModel # noqa: F401
from acapy_wrapper.models.did_create import DIDCreate
from acapy_wrapper.models.did_endpoint import DIDEndpoint
from acapy_wrapper.models.did_endpoint_with_type import DIDEndpointWithType
from acapy_wrapper.models.did_list import DIDList
from acapy_wrapper.models.did_result import DIDResult
from api import acapy_utils as au
router = APIRouter()
@router.post(
"/wallet/did/create",
responses={
200: {"model": DIDResult, "description": ""},
},
tags=["wallet"],
summary="Create a local DID",
)
@router.get(
"/wallet/did",
responses={
200: {"model": DIDList, "description": ""},
},
tags=["wallet"],
summary="List wallet DIDs",
)
@router.patch(
"/wallet/did/local/rotate-keypair",
responses={
200: {"model": dict, "description": ""},
},
tags=["wallet"],
summary="Rotate keypair for a DID not posted to the ledger",
)
@router.get(
"/wallet/did/public",
responses={
200: {"model": DIDResult, "description": ""},
},
tags=["wallet"],
summary="Fetch the current public DID",
)
@router.post(
"/wallet/did/public",
responses={
200: {"model": DIDResult, "description": ""},
},
tags=["wallet"],
summary="Assign the current public DID",
)
@router.get(
"/wallet/get-did-endpoint",
responses={
200: {"model": DIDEndpoint, "description": ""},
},
tags=["wallet"],
summary="Query DID endpoint in wallet",
)
@router.post(
"/wallet/set-did-endpoint",
responses={
200: {"model": dict, "description": ""},
},
tags=["wallet"],
summary="Update endpoint in wallet and on ledger if posted to it",
)
| [
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1600,
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8,
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198,
31,
472,
353,
13,
7353,
7,
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220,
220,
220,
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14,
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12,
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44623,
33116,
198,
220,
220,
220,
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2625,
10260,
36123,
287,
13008,
290,
319,
37208,
611,
4481,
284,
340,
1600,
198,
8,
198
] | 2.559387 | 783 |
c = float(input('Digite a temperatura em C°: '))
f = c * 1.8 + 32
print('{:.0f} C° é igual a {:.0f}° Fahrenheight'.format(c, f)) | [
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] | 2.169492 | 59 |
import transaction
import unittest
import unittest.mock as mock
from pyramid import testing
from .models import User
| [
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8611,
198,
11748,
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395,
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] | 3.78125 | 32 |
#!/usr/bin/env python
import sys
import copy
import rospy
import moveit_commander
import moveit_msgs.msg
import geometry_msgs.msg
import signal
import math
import tf
from copy import deepcopy
import transformation
signal.signal(signal.SIGINT, signal_handler)
pose_list = \
{
'left_open': [0.6451299414163874, 0.48308154941436016, 0.688241579565718, 0.11442618882303603, 0.9926119706997465, 0.028043380270852243, 0.02901192441022871],
'right_open': [0.6462863106297506, -0.48390075862008375, 0.6859732922530206, -0.15210562530968288, 0.9881075743671162, 0.0028034494110560793, 0.02234817439712085]
}
joint_list = \
{
'left_open': [-0.04525243319091797, -1.185383652484131, -0.6304661031005859, 0.9851991598937989, 0.2657621711975098, 1.7587089713012696, 0.44638840876464847],
'right_open': [-0.024543692578125, -1.1293933537902834, 0.7673738882629395, 0.9560535249572755, -0.2922233397583008, 1.8089468420471193, -0.4793689956665039]
}
def distance():
"""
Calculate the distance between two points.
return:
Distance.
"""
return lambda a, b: math.sqrt((a.x-b.x)*(a.x-b.x)+(a.y-b.y)*+(a.y-b.y)+(a.z-b.z)*(a.z-b.z))
class MoveitInterface:
"""
A wrapper class that calls functions from the MoveIt.
"""
gripper_translation_dist = 0.22
print_flag = False
def move_predef_position(self, limb_name, pos_name, speed=0.3,
timeout = 15.0):
"""
Move to some pre-defined pose.
Args:
limb_name: Joint name.
pos_name: refer to the dict() defined at the beginning
"""
self.move_limb(limb_name, pose_list[limb_name+'_'+pos_name], False,
speed)
def move_predef_joint_position(self, limb_name, pose_name, speed = 0.3,
timeout = 15.0):
"""
Move to some pre-defined joints.
Args:
limb_name: Both arm or left or right.
pos_name: refer to the dict() defined at the beginning
"""
if limb_name == 'both':
self.move_limb_joint(limb_name, joint_list['left_'+pose_name]+
joint_list['right_'+pose_name], speed)
else:
self.move_limb_joint(limb_name, joint_list[limb_name+'_'+pose_name],
speed)
def move_limb_height(self, limb_name, target_height_displacement,
do_displacement, speed=0.1):
"""
Move the arm vertically.
Args:
limb_name: Left or right arm.
target_height_displacement: Move offset.
do_displacement: True if move from the current position.
speed: Move speed.
Return:
"""
# Both arm not implemented.
print target_height_displacement
if limb_name == 'left':
target_pos = self.left_arm.get_current_pose().pose
elif limb_name == 'right':
target_pos = self.right_arm.get_current_pose().pose
if do_displacement:
target_height_displacement += target_pos.position.z
print [target_pos.position.x, target_pos.position.y,
target_height_displacement]
self.move_limb(limb_name, [target_pos.position.x, target_pos.position.y,
target_height_displacement])
def move_limb_joint_single(self, limb_name, joint_index, joint_position):
"""
Move a joint of the arm.
Args:
limb_name: Left or right arm.
joint_index: Joint index. There are 7 joints on each arm.
joint_position: joint angle.
Return:
"""
# Both arm not implemented.
joint_val = self.query_joint(limb_name)
joint_val[joint_index] = joint_position
self.move_limb_joint(limb_name, joint_val)
def move_limb_joint(self, limb_name, joint_positions, speed=0.1):
"""
Move the arm with 7 joints in a whole.
Args:
limb_name: Left or right arm.
joint_index: Joint index of 7. There are 7 joints on each arm.
joint_position: joint angle.
Return:
"""
if limb_name == 'both':
print joint_positions
self.both_arms.set_joint_value_target(joint_positions)
self.both_arms.go()
return
joint_pos = {limb_name+'_s0': joint_positions[0],
limb_name+'_s1': joint_positions[1],
limb_name+'_e0': joint_positions[2],
limb_name+'_e1': joint_positions[3],
limb_name+'_w0': joint_positions[4],
limb_name+'_w1': joint_positions[5],
limb_name+'_w2': joint_positions[6]}
if limb_name == 'left':
self.left_arm.set_joint_value_target(joint_pos)
self.left_arm.go()
if limb_name == 'right':
self.right_arm.set_joint_value_target(joint_pos)
self.right_arm.go()
def move_limb_position(self, limb_name, position, speed=0.1):
"""
Move a single arm by position.
Args:
limb_name: Left or right arm.
position: 3D position in terms of the robot base.
speed: Moving speed.
Return:
"""
if limb_name == 'left':
self.left_arm.set_position_target(position[0], position[1],
position[2])
self.left_arm.go()
if limb_name == 'right':
self.right_arm.set_position_target(position[0], position[1],
position[2])
self.right_arm.go()
def move_limb(self, limb_name, position, do_displacement = False,
sync_option = 'wait', speed=0.3, timeout = 15.0):
"""
Move a limb to the target position & orientation
---position (float list):
- The first 3 elements are cartesian coordinate of the target position.
- THe 4 following elements are the quaternion of the end effector
(optional)
Args:
limb_name: Left or right arm.
position: 3D position in terms of the robot base.
do_displacement: True if move from the current position.
sync_option:
speed: Moving speed.
timeout: If not reachable, time to release.
Return:
"""
if limb_name == 'left':
self.left_arm.clear_pose_targets()
pose = self.generate_pose(limb_name, position, do_displacement)
self.left_arm.set_pose_target(pose)
self.left_arm.go()
if limb_name == 'right':
self.right_arm.clear_pose_targets()
pose = self.generate_pose(limb_name, position, do_displacement)
self.right_arm.set_pose_target(pose)
self.right_arm.go()
if limb_name == 'both':
self.left_arm.clear_pose_targets()
self.right_arm.clear_pose_targets()
if len(position) == 6:
# Position only, same orientation.
pose_left = self.generate_pose(
'left', position[0:3], do_displacement)
pose_right = self.generate_pose(
'right', position[3:], do_displacement)
elif len(position) == 14: # Pose.
pose_left = self.generate_pose(
'left', position[0:7], do_displacement)
pose_right = self.generate_pose(
'right', position[7:], do_displacement)
elif len(position) == 2:
# For the case that the parameter is a tuple of two lists.
pose_left = self.generate_pose(
'left', position[0], do_displacement)
pose_right = self.generate_pose(
'right', position[1], do_displacement)
self.right_arm.set_pose_target(pose_right)
self.left_arm.set_pose_target(pose_left)
pa = self.right_arm.plan()
pb = self.left_arm.plan()
pc = self.merge_plans(pa, pb, sync_option)
self.both_arms.execute(pc)
return 1
def generate_pose(self, side, position, do_displacement=False):
"""
Generate arm pose for a target moving position.
Args:
side: Left or right arm.
position: Target moving position.
do_displacement: True if move from the current position.
Return: The pose of a list of 3 or 7 elements for the target position.
"""
if side == 'left':
limb = self.left_arm
else:
limb = self.right_arm
target_pose = limb.get_current_pose()
if do_displacement:
target_pose.pose.position.x += position[0]
target_pose.pose.position.y += position[1]
target_pose.pose.position.z += position[2]
else:
target_pose.pose.position.x = position[0]
target_pose.pose.position.y = position[1]
target_pose.pose.position.z = position[2]
if len(position) == 7:
print "size of 7! Including orientation."
target_pose.pose.orientation.w = position[3]
target_pose.pose.orientation.x = position[4]
target_pose.pose.orientation.y = position[5]
target_pose.pose.orientation.z = position[6]
target_pose = self.transform_gripper_to_wrist(side, target_pose)
return target_pose.pose
def move_cartesian_path(self, limb_name, way_points,
sync_option = 'wait'):
"""
Move the arm in cartesian path defined by a set of way points.
Args:
limb_name: Left or right arm.
way_points: A set of 3D points to move the arm.
sync_option: 'wait' if move the arm one by one.
Return:
"""
if limb_name == 'both':
assert len(way_points) == 2
pa = self.generate_cartesian_path_plan('left', way_points[0])
pb = self.generate_cartesian_path_plan('right', way_points[1])
if pa and pb: #if both are valid
plan = self.merge_plans(pa, pb, sync_option)
self.both_arms.execute(plan)
else:
print "Invalid Cartesian Path"
elif limb_name == 'left':
plan = self.generate_cartesian_path_plan(limb_name, way_points)
if plan:
self.left_arm.execute(plan)
else:
print "Invalid Cartesian Path"
exit()
elif limb_name == 'right':
plan = self.generate_cartesian_path_plan(limb_name, way_points)
if plan:
self.right_arm.execute(plan)
else:
print "Invalid Cartesian Path"
exit()
def generate_cartesian_path_plan(self, side, way_points,
eef_step = 0.01, jump_threshold = 0):
"""
Generate a plan based on a sequence of cartesian way-points
Args:
group: move group
way_points: a list of cartesian way points, can be either x,y,z
(position) or x,y,z,w,x,y,z (pose)
eef_step: end effector step constraint
jump_threshold:
Return:a MoveIt plan.
"""
if side == 'left':
group = self.left_arm
else:
group = self.right_arm
# Always start with the current pose.
way_point_poses = []
for w in way_points:
way_point_poses.append(self.generate_pose(side, w))
(plan, fraction) = group.compute_cartesian_path(
way_point_poses, # Way points to follow.
eef_step, # eef_step.
jump_threshold) # jump_threshold.
if fraction == -1: # Error.
return False
return plan
def merge_plans(self, pa, pb, sync_option='wait'):
"""
Merge two MoveIt plans.
Args:
pa: Plan a.
pb: Plan b.
sync_option: wait
Return:
Merged plan.
"""
# Merge two (left & right) plans.
self.merge_trajectories(pa.joint_trajectory, pb.joint_trajectory,
sync_option)
if len(pa.joint_trajectory.points) == 0:
return pb
else:
return pa
def merge_points(self, target, source):
"""
Merge trajectory data points.
Args:
target:
source:
Return:
"""
target.joint_names.extend(source.joint_names)
for i in range(len(target.points)):
target.points[i].positions = target.points[i].positions + \
source.points[i].positions
target.points[i].accelerations = target.points[i].accelerations + \
source.points[i].accelerations
target.points[i].velocities = target.points[i].velocities + \
source.points[i].velocities
target.points[i].effort = target.points[i].effort + \
source.points[i].effort
source.points[:] = []
return target
def merge_trajectories(self, traj_l, traj_r, sync_option='wait'):
"""
Merge two trajectories by various synchronization options.
Args:
traj_l: Left arm trajectory.
traj_r: Right arm trajectory.
sync_option: See below.
Return:
"""
#
if len(traj_l.points) < len(traj_r.points):
long = traj_r
short = traj_l
else:
long = traj_l
short = traj_r
if sync_option == 'trim' or len(short.points) == len(long.points):
# merge to shorter trajectory by trimming the longer one.
self.merge_points(short, long) # merge long to short.
elif sync_option == 'wait':
# merge to longer trajectory by waiting for the shorter one.
size_diff = len(long.points) - len(short.points)
state = deepcopy(short.points[-1])
# zero velocities & accelerations state.
state.accelerations = (0,)*len(state.accelerations)
state.velocities = (0,)*len(state.velocities)
for i in range(size_diff):
short.points.append(deepcopy(state))
assert(len(short.points) == len(long.points))
self.merge_points(long, short) #merge short to long
elif sync_option == 'fastforward':
# Merge to shorter trajectory by fast forwarding the longer one.
pass
elif sync_option == 'slowmotion':
pass
def query_pose(self, limb_name):
"""
Query the current pose (7 parameters) of arms.
Args:
limb_name: Left or right arm.
Return:
Pose of the queried arm.
"""
if limb_name == 'left':
pose = self.left_arm.get_current_pose().pose
if limb_name == 'right':
pose = self.right_arm.get_current_pose().pose
return pose
def query_joint(self, limb_name):
"""
Query the current joint of arms.
Args:
limb_name: Left or right arm.
Return:
Joint of the queried arm.
"""
if limb_name == 'left':
pose = self.left_arm.get_current_joint_values()
if limb_name == 'right':
pose = self.right_arm.get_current_joint_values()
return pose
def current_position(self, limb_name):
"""
Query the current pose (position) of arms.
Args:
limb_name: Left or right arm.
Return:
Pose of the queried arm.
"""
if limb_name == 'left':
pose = self.left_arm.get_current_pose().pose
if limb_name == 'right':
pose = self.right_arm.get_current_pose().pose
return [pose.position.x, pose.position.y, pose.position.z]
def current_orientation(self, limb_name):
"""
Query the current pose (orientation) of arms.
Args:
limb_name: Left or right arm.
Return:
Pose of the queried arm.
"""
if limb_name == 'left':
pose = self.left_arm.get_current_pose().pose
if limb_name == 'right':
pose = self.right_arm.get_current_pose().pose
return [pose.orientation.w, pose.orientation.x, pose.orientation.y,
pose.orientation.z]
def current_gripper_pose(self, limb_name):
"""
Query the current pose (orientation) of gripper.
End effector with transform to the gripper.
Args:
limb_name: Left or right arm.
Return:
Pose of the queried gripper (7 parameters).
"""
if limb_name == 'left':
pose = self.left_arm.get_current_pose()
if limb_name == 'right':
pose = self.right_arm.get_current_pose()
pose = self.transform_wrist_to_gripper(limb_name, pose)
return ([pose.pose.position.x, pose.pose.position.y,
pose.pose.position.z],
[pose.pose.orientation.w, pose.pose.orientation.x,
pose.pose.orientation.y, pose.pose.orientation.z])
def transform_gripper_to_wrist(self, side, gripper_target_pose):
"""
Transform a pose in side_gripper_center frame to side_wrist frame.
Args:
side: Left or right arm.
gripper_target_pose: End effector position.
Return:
New pose of the end effector.
"""
self.tros.waitForTransform('/base', side + '_gripper_center',
rospy.Time(), rospy.Duration(4))
gripper_target_pose.header.stamp = \
self.tros.getLatestCommonTime('/base', side + '_gripper_center')
p = self.tros.transformPose(side + '_gripper_center',
gripper_target_pose)
p.header.frame_id = side + '_wrist'
self.tros.waitForTransform('/base', side + '_wrist',
rospy.Time(), rospy.Duration(4))
p.header.stamp = self.tros.getLatestCommonTime('/base', side + '_wrist')
p_new = self.tros.transformPose('base', p)
return p_new
def transform_wrist_to_gripper(self, side, wrist_pose):
"""
Transform between end effector and gripper. The default end effector
is the wrist part.
Args:
side: Left or right arm.
wrist_pose: Current end effector position.
Return:
3D position of the gripper.
"""
self.tros.waitForTransform(
'/base', side + '_wrist',rospy.Time(), rospy.Duration(4))
wrist_pose.header.stamp = self.tros.getLatestCommonTime(
'/base', side + '_wrist')
p = self.tros.transformPose(side + '_wrist', wrist_pose)
p.header.frame_id = side + '_gripper_center'
self.tros.waitForTransform(
'/base', side + '_gripper_center',rospy.Time(), rospy.Duration(4))
p.header.stamp = self.tros.getLatestCommonTime(
'/base', side + '_gripper_center')
p_new = self.tros.transformPose('base', p)
return p_new
if __name__ == '__main__':
sys.exit(main())
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37227,
198,
220,
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10028,
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3211,
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13,
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943,
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2866,
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8229,
25,
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220,
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37227,
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1303,
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2496,
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62,
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13,
1136,
62,
14421,
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3455,
22446,
3455,
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1288,
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3601,
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3672,
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1930,
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13,
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13,
88,
11,
198,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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2496,
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73,
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62,
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7,
944,
11,
25035,
62,
3672,
11,
6466,
62,
9630,
11,
6466,
62,
9150,
2599,
198,
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220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
10028,
257,
6466,
286,
262,
3211,
13,
628,
220,
220,
220,
220,
220,
220,
220,
943,
14542,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
25035,
62,
3672,
25,
9578,
393,
826,
3211,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6466,
62,
9630,
25,
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13,
1318,
389,
767,
24039,
319,
1123,
3211,
13,
198,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6466,
62,
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25,
6466,
9848,
13,
198,
220,
220,
220,
220,
220,
220,
220,
8229,
25,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
5747,
3211,
407,
9177,
13,
198,
220,
220,
220,
220,
220,
220,
220,
6466,
62,
2100,
796,
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13,
22766,
62,
73,
1563,
7,
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65,
62,
3672,
8,
198,
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220,
220,
220,
220,
220,
220,
6466,
62,
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58,
73,
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62,
9630,
60,
796,
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62,
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198,
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220,
220,
220,
220,
220,
220,
2116,
13,
21084,
62,
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65,
62,
73,
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7,
2475,
65,
62,
3672,
11,
6466,
62,
2100,
8,
628,
220,
220,
220,
825,
1445,
62,
2475,
65,
62,
73,
1563,
7,
944,
11,
25035,
62,
3672,
11,
6466,
62,
1930,
1756,
11,
2866,
28,
15,
13,
16,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
10028,
262,
3211,
351,
767,
24039,
287,
257,
2187,
13,
628,
220,
220,
220,
220,
220,
220,
220,
943,
14542,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
25035,
62,
3672,
25,
9578,
393,
826,
3211,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6466,
62,
9630,
25,
16798,
6376,
286,
767,
13,
1318,
389,
767,
24039,
319,
1123,
3211,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6466,
62,
9150,
25,
6466,
9848,
13,
198,
220,
220,
220,
220,
220,
220,
220,
8229,
25,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
611,
25035,
62,
3672,
6624,
705,
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198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
6466,
62,
1930,
1756,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
16885,
62,
8357,
13,
2617,
62,
73,
1563,
62,
8367,
62,
16793,
7,
73,
1563,
62,
1930,
1756,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
16885,
62,
8357,
13,
2188,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
628,
220,
220,
220,
220,
220,
220,
220,
6466,
62,
1930,
796,
1391,
2475,
65,
62,
3672,
10,
6,
62,
82,
15,
10354,
6466,
62,
1930,
1756,
58,
15,
4357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
25035,
62,
3672,
10,
6,
62,
82,
16,
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6466,
62,
1930,
1756,
58,
16,
4357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
25035,
62,
3672,
10,
6,
62,
68,
15,
10354,
6466,
62,
1930,
1756,
58,
17,
4357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
25035,
62,
3672,
10,
6,
62,
68,
16,
10354,
6466,
62,
1930,
1756,
58,
18,
4357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
25035,
62,
3672,
10,
6,
62,
86,
15,
10354,
6466,
62,
1930,
1756,
58,
19,
4357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
25035,
62,
3672,
10,
6,
62,
86,
16,
10354,
6466,
62,
1930,
1756,
58,
20,
4357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
25035,
62,
3672,
10,
6,
62,
86,
17,
10354,
6466,
62,
1930,
1756,
58,
21,
48999,
198,
220,
220,
220,
220,
220,
220,
220,
611,
25035,
62,
3672,
6624,
705,
9464,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
9464,
62,
1670,
13,
2617,
62,
73,
1563,
62,
8367,
62,
16793,
7,
73,
1563,
62,
1930,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
9464,
62,
1670,
13,
2188,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
611,
25035,
62,
3672,
6624,
705,
3506,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
3506,
62,
1670,
13,
2617,
62,
73,
1563,
62,
8367,
62,
16793,
7,
73,
1563,
62,
1930,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
3506,
62,
1670,
13,
2188,
3419,
628,
220,
220,
220,
825,
1445,
62,
2475,
65,
62,
9150,
7,
944,
11,
25035,
62,
3672,
11,
2292,
11,
2866,
28,
15,
13,
16,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
10028,
257,
2060,
3211,
416,
2292,
13,
628,
220,
220,
220,
220,
220,
220,
220,
943,
14542,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
25035,
62,
3672,
25,
9578,
393,
826,
3211,
13,
198,
220,
220,
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] | 1.9833 | 9,940 |
"""
Hi!
I intentionally wrote this script sort of weird so that it will
only work in Python 3.7+, to make sure that you're using
the right Python. Don't worry if you don't understand it!
If you're curious, I'm happy to explain anything in it.
-- C
"""
from __future__ import annotations
print("Hello, ", end='World!\n')
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] | 3.521739 | 92 |
from django.core.signals import Signal
deleting = Signal(providing_args=['del_objs', 'rel_objs'])
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#---------------------------------------------------------------------------------------------------------------|
# Organization: AllenRing |
# -- Created by Ritch |
# |
# This program is responsible for controlling the settings of RPi pins and the speed of the attached motors. |
# It is also set up to execute other scripts (more to come). |
# |
# Scripts: |
# motorSpeedLimiter |
# This program will countinuously check the frequency and dutycycle ranges of all pins assigned with motors.|
#---------------------------------------------------------------------------------------------------------------|
import logging
import sys
import time
import pigpio
from Adafruit_BNO055 import BNO055
#---------------------------------------------------------------------------------------------------------------|
# --- Initialize Orientation Sensor ---
bno = BNO055.BNO055(serial_port='/dev/ttyAMA0', rst=18)
# Enable verbose debug logging if -v is passed as a parameter.
if len(sys.argv) == 2 and sys.argv[1].lower() == '-v':
logging.basicConfig(level=logging.DEBUG)
# Initialize the BNO055 and stop if something went wrong.
if not bno.begin():
raise RuntimeError('Failed to initialize BNO055! Is the sensor connected?')
# Print system status and self test result.
status, self_test, error = bno.get_system_status()
print('System status: {0}'.format(status))
print('Self test result (0x0F is normal): 0x{0:02X}'.format(self_test))
# Print out an error if system status is in error mode.
if status == 0x01:
print('System error: {0}'.format(error))
print('See datasheet section 4.3.59 for the meaning.')
# Print BNO055 software revision and other diagnostic data.
sw, bl, accel, mag, gyro = bno.get_revision()
print('Software version: {0}'.format(sw))
print('Bootloader version: {0}'.format(bl))
print('Accelerometer ID: 0x{0:02X}'.format(accel))
print('Magnetometer ID: 0x{0:02X}'.format(mag))
print('Gyroscope ID: 0x{0:02X}\n'.format(gyro))
#---------------------------------------------------------------------------------------------------------------|
pi = pigpio.pi()
systemOn = True
motorOneSpeed = 180
motorTwoSpeed = 180
motorThreeSpeed = 180
motorFourSpeed = 185
#---------------------
#------Functions------
#---------------------
#-----------------------------
#------Movement Fucntions-----
#-----------------------------
#-----------------------------
#------Begin the program------
#-----------------------------
#----------------------------------------
# This will prompt for the pins to modify
# Each entered pin will be initialized and have global values set to default
#----------------------------------------
print('***Connect Battery & Press ENTER to start***')
res = raw_input()
print('***Enter Pins for Each Prompted Motor***')
print('Motor 1')
res = input()
motorOne = res
print('Motor 2')
res = input()
motorTwo = res
print('Motor 3')
res = input()
motorThree = res
print('Motor 4')
res = input()
motorFour = res
#----------------------------------------
# All motors will now be initialized
# The loop-to-follow will receive inputs and then change motorspeeds accordingly
#----------------------------------------
initializeMotors(motorOne, motorTwo, motorThree, motorFour)
res = raw_input()
motorOneSpeed = 195
motorTwoSpeed = 185
motorThreeSpeed = 190
motorFourSpeed = 190
res = raw_input()
print ('System initialized and running.')
print ('Follow your reference key or press 9 to shutdown')
strength = 218 #Sets base strength of motors
OldRoll = 0
OldRoll2 = 0
OldPitch = 0
OldPitch2 = 0
RMark = 0
PMark = 0
Front = 0
Back = 0
Left = 0
Right = 0
rollV = 0
Change = 20
ACR = 0 #Acceleration Roll
TestRV = 0
motorTwoSpeed = strength
motorFourSpeed = strength
motorThreeSpeed = strength
motorOneSpeed = strength
cycling = True
try:
while cycling:
pi.set_PWM_dutycycle(motorOne, motorOneSpeed)
pi.set_PWM_dutycycle(motorTwo, motorTwoSpeed)
pi.set_PWM_dutycycle(motorThree, motorThreeSpeed)
pi.set_PWM_dutycycle(motorFour, motorFourSpeed)
print ("motorOne: %s" % (motorOneSpeed))
print ("motorTwo: %s" % (motorTwoSpeed))
print ("motorThree: %s" % (motorThreeSpeed))
print ("motorFour: %s" % (motorFourSpeed))
#print(roll)
#print(OldRoll)
print("rollV: %s" % rollV)
# Read the Euler angles for heading, roll, pitch (all in degrees).
heading, roll, pitch = bno.read_euler()
# Read the calibration status, 0=uncalibrated and 3=fully calibrated.
sys, gyro, accel, mag = bno.get_calibration_status()
# Print everything out.
print('Heading={0:0.2F} roll={1:0.2F} Pitch={2:0.2F}\tSys_cal={3} Gyro_cal={4} Accel_cal={5} Mag_cal={6}'.format(heading, roll, pitch, sys, gyro, accel, mag))
# positive roll = tilt to right
# positive pitch = nose tilt up
#=====================================================
#calculates current roll and pitch velocity
OldRollV = rollV
rollV = ((roll - OldRoll) + (OldRoll - OldRoll2)) / 2
pitchV = ((pitch - OldPitch) + (OldPitch - OldPitch2)) / 2
TestRV = rollV
if(TestRV < 0):
TestRV *= -1
if(TestRV <= 0.03125):
rollV = 0
ACR = rollV - OldRollV
print("ACR %s" % ACR)
#=====================================================
#Start of roll calculations
if(roll > 0): # tilted right
if(rollV > 0): #Drone tilting right
Right += 1
#RMark = roll
elif(rollV < 0): # tilted right and tilting left
if(rollV > -1): #not tilting fast enough
Right += 1
elif(rollV < -1):
Right += -1
elif(roll < 0): #Drone tilted left
if(rollV < 0): # tilting left
Right += -1
#RMark = roll
elif(rollV > 0): #Drone tilting right
if(rollV < 1): #not tilting fast enough
Right += -1
elif(rollV > 1): #too fast
Right += 1
#Limits the change in direction
if(Right < Change * -1):
Right = Change * -1
elif(Right > Change):
Right = Change
#=====================================================
# start of pitch calculations
if(pitch > 0): # nose tilted upward
if(pitchV > 0): # nose tilting upward
Front += -1
#PMark = pitch
elif(pitchV < 0): # if moving down
if(pitchV < -1): # too fast
Front += 1
elif(pitchV > -1): #too slow
Front += -1
elif(pitch < 0): #nose tilted down
if(pitchV < 0): #nose tilting down
Front += 1
#PMark = pitch
elif(pitchV > 0): #tilting up
if(pitchV > 1):
Front += -1
elif(pitchV < 1):
Front += 1
else:
Front = 0
#limits the change in direction
if(Front < Change * -1):
Front = Change * -1
elif(Front > Change):
Front = Change
#=====================================================
# Sets values for Left and Back
Left = Right * float(-1)
Back = Front * float(-1)
#=====================================================
# updates motor speeds
motorTwoSpeed = Back + Right + strength
motorFourSpeed = Back + Left + strength
motorThreeSpeed = Front + Right + strength
motorOneSpeed = Front + Left + strength
#=====================================================
# sets old roll and pitch values
OldRoll2 = OldRoll
OldRoll = roll
OldPitch2 = OldPitch
OldPitch = pitch
time.sleep(1/20.0) # possible use in future for delay if ethan's idea doesnt work
# End of while
# End of Try
#----------------------------------------
# When the while loop has ended, the code will proceed here
# This will shutdown all motors in increments of one, until the speed value has reached '0'
#----------------------------------------
finally:
# shut down cleanly
while (systemOn):
if motorOneSpeed > 0:
motorOneSpeed = motorOneSpeed - 1
if motorTwoSpeed > 0:
motorTwoSpeed = motorTwoSpeed - 1
if motorThreeSpeed > 0:
motorThreeSpeed = motorThreeSpeed - 1
if motorFourSpeed > 0:
motorFourSpeed = motorFourSpeed - 1
pi.set_PWM_dutycycle(motorOne, motorOneSpeed)
pi.set_PWM_dutycycle(motorTwo, motorTwoSpeed)
pi.set_PWM_dutycycle(motorThree, motorThreeSpeed)
pi.set_PWM_dutycycle(motorFour, motorFourSpeed)
if (motorOneSpeed == 0) and (motorTwoSpeed == 0) and (motorThreeSpeed == 0) and (motorFourSpeed == 0):
systemOn = False
monitoring = False
print ("System Shutdown")
# Done | [
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] | 2.141832 | 4,879 |
import os
import json
import random
import time
import numpy as np
with open('../manifest/output.manifest', 'r') as f:
output = [json.loads(line) for line in f.readlines()]
# Shuffle output in place.
np.random.shuffle(output)
dataset_size = len(output)
train_test_split_index = round(dataset_size*0.8)
train_data = output[:int(train_test_split_index)]
validation_data = output[int(train_test_split_index):]
num_training_samples = 0
with open('train.manifest', 'w') as f:
for line in train_data:
f.write(json.dumps(line))
f.write('\n')
num_training_samples += 1
with open('validation.manifest', 'w') as f:
for line in validation_data:
f.write(json.dumps(line))
f.write('\n') | [
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] | 2.422951 | 305 |
num = int(input('Digite um número inteiro: '))
print('''Escolha uma das bases para convertê-lo:
[1] Converter para \033[34mBinário\033[m
[2] Convertar para \033[34mOctal\033[m
[3] Converter para \033[34mHexadecimal\033[m ''')
opçao = int(input('Sua opção: '))
if opçao == 1:
print(f'{num} convertido para \033[31mBinário\033[m é igual a {bin(num)[2:]}')
elif opçao == 2:
print(f'{num} convertido para \033[31mOctal\033[m é igual a {oct(num)[2:]}')
elif opçao == 3:
print(f'{num} convertido para \033[31mHexadecimal\033[m é igual a {hex(num)[2:]}')
else:
print('A opção escolhida é \033[31minválida\033[m, selecione 1, 2 ou 3.')
| [
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25,
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11,
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293,
66,
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352,
11,
362,
267,
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8,
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] | 2.094156 | 308 |
from rest_framework.authentication import TokenAuthentication
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] | 5.25 | 12 |
from typing import Dict
from fastapi.testclient import TestClient
from sqlalchemy.orm import Session
from app.config import settings
from tests.utils.utils import random_email, random_lower_string
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from random import uniform
import lepy
from PySide2Wrapper.PySide2Wrapper.window import MainWindow
from PySide2Wrapper.PySide2Wrapper.widget import OpenGLWidget
from PySide2Wrapper.PySide2Wrapper.app import Application
if __name__ == "__main__":
simple_scene = SimpleScene()
app = Application()
gl_widget = OpenGLWidget(simple_scene.init, simple_scene.resize, simple_scene.draw)
gl_widget.set_mouse_press_callback(simple_scene.process_mouse_press)
gl_widget.set_mouse_move_callback(simple_scene.process_cursore_movement)
gl_widget.set_wheel_scroll_event(simple_scene.process_wheel)
main_window = MainWindow("Simple Scene Example")
main_window.add_widget(gl_widget, need_stretch=False)
main_window.resize(800, 700)
main_window.move(100, 100)
main_window.show()
app.run()
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] | 2.858131 | 289 |
from dotenv import load_dotenv
load_dotenv()
from app.web import create_app
app = create_app()
if __name__ == '__main__':
app.run()
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] | 2.592593 | 54 |
import numpy as np
import base64
from PIL import Image
import cv2
#from StringIO import StringIO
import numpy as np
import io
from io import BytesIO
# if(img):
#img=cv2.imread(np1,cv2.IMREAD_UNCHANGED)
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# Licensed to the StackStorm, Inc ('StackStorm') under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pecan
import six
from mongoengine import ValidationError
from st2api.controllers import resource
from st2common import log as logging
from st2common.exceptions.apivalidation import ValueValidationException
from st2common.exceptions.db import StackStormDBObjectConflictError
from st2common.models.api.action import ActionAliasAPI
from st2common.persistence.actionalias import ActionAlias
from st2common.models.api.base import jsexpose
http_client = six.moves.http_client
LOG = logging.getLogger(__name__)
class ActionAliasController(resource.ContentPackResourceController):
"""
Implements the RESTful interface for ActionAliases.
"""
model = ActionAliasAPI
access = ActionAlias
supported_filters = {
'name': 'name',
'pack': 'pack'
}
query_options = {
'sort': ['pack', 'name']
}
@jsexpose(body_cls=ActionAliasAPI, status_code=http_client.CREATED)
def post(self, action_alias):
"""
Create a new ActionAlias.
Handles requests:
POST /actionalias/
"""
try:
action_alias_db = ActionAliasAPI.to_model(action_alias)
LOG.debug('/actionalias/ POST verified ActionAliasAPI and formulated ActionAliasDB=%s',
action_alias_db)
action_alias_db = ActionAlias.add_or_update(action_alias_db)
except (ValidationError, ValueError, ValueValidationException) as e:
LOG.exception('Validation failed for action alias data=%s.', action_alias)
pecan.abort(http_client.BAD_REQUEST, str(e))
return
except StackStormDBObjectConflictError as e:
LOG.warn('ActionAlias creation of %s failed with uniqueness conflict.', action_alias,
exc_info=True)
pecan.abort(http_client.CONFLICT, str(e), body={'conflict-id': e.conflict_id})
return
extra = {'action_alias_db': action_alias_db}
LOG.audit('Action alias created. ActionAlias.id=%s' % (action_alias_db.id), extra=extra)
action_alias_api = ActionAliasAPI.from_model(action_alias_db)
return action_alias_api
@jsexpose(arg_types=[str], body_cls=ActionAliasAPI)
@jsexpose(arg_types=[str], status_code=http_client.NO_CONTENT)
def delete(self, action_alias_ref_or_id):
"""
Delete an action alias.
Handles requests:
DELETE /actionalias/1
"""
action_alias_db = self._get_by_ref_or_id(ref_or_id=action_alias_ref_or_id)
LOG.debug('DELETE /actionalias/ lookup with id=%s found object: %s', action_alias_ref_or_id,
action_alias_db)
try:
ActionAlias.delete(action_alias_db)
except Exception as e:
LOG.exception('Database delete encountered exception during delete of id="%s".',
action_alias_ref_or_id)
pecan.abort(http_client.INTERNAL_SERVER_ERROR, str(e))
return
extra = {'action_alias_db': action_alias_db}
LOG.audit('Action alias deleted. ActionAlias.id=%s.' % (action_alias_db.id), extra=extra)
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62,
26011,
62,
9945,
13,
312,
828,
3131,
28,
26086,
8,
198
] | 2.556708 | 1,543 |
import sys
from .escape_seq import csi
from .escape_seq import CSI, SGR, ColorsMode, Color
"""Rudimentary ANSI support.
See: https://en.wikipedia.org/wiki/ANSI_escape_code
"""
def cursor_position(n=1, m=1):
"""Move cursor to row n, column m (1-indexed from top-left)."""
return csi(CSI.CUP, n, m)
| [
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628,
628,
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628,
628
] | 2.604839 | 124 |
n = int(input('digite um número inteiro: '))
op = int(input('''escolha uma opção de conversão:
[ 1 ] Binário
[ 2 ] Octal
[ 3 ] Hexadecimal'''))
if op == 1:
print(bin(n)[2:])
elif op == 2:
print(oct(n)[2:])
elif op == 3:
print(hex(n)[2:])
| [
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] | 1.875 | 144 |
try:
from loader.loader import loader
except ImportError as err:
print(f"Import failed, {err}") | [
28311,
25,
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198,
220,
220,
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7,
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] | 2.864865 | 37 |
import itertools
import os
import string
import numpy as np
from msibi import MSIBI, Pair, State, mie
os.system("rm rdfs/pair_C3*_state*-step*.txt f_fits.log")
os.system("rm state_*/*.txt state*/run.py state*/*query.dcd")
# Set up global parameters.
rdf_cutoff = 5.0
opt = MSIBI(
rdf_cutoff=rdf_cutoff, n_rdf_points=201, pot_cutoff=3.0, smooth_rdfs=True
)
# Specify states.
stateA = State(
kT=0.5,
state_dir="./state_A",
top_file="start.hoomdxml",
name="stateA",
backup_trajectory=True,
)
stateB = State(
kT=1.5,
state_dir="./state_B",
top_file="start.hoomdxml",
name="stateB",
backup_trajectory=True,
)
stateC = State(
kT=2.0,
state_dir="./state_C",
top_file="start.hoomdxml",
name="stateC",
backup_trajectory=True,
)
states = [stateA, stateB, stateC]
# Specify pairs.
indices = list(itertools.combinations(range(1024), 2)) # all-all for 1024 atoms
initial_guess = mie(opt.pot_r, 1.0, 1.0) # 1-D array of potential values.
alphabet = ["A", "B", "C"]
rdf_targets = [
np.loadtxt("rdfs/C3-C3-state_{0}.txt".format(i)) for i in alphabet
]
pair0 = Pair("C3", "C3", initial_guess)
alphas = [1.0, 1.0, 1.0]
# Add targets to pair.
for state, target, alpha in zip(states, rdf_targets, alphas):
pair0.add_state(state, target, alpha, indices)
pairs = [pair0] # optimize() expects a list of pairs
# Do magic.
opt.optimize(states, pairs, n_iterations=5, engine="hoomd")
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198
] | 2.274016 | 635 |
# -*- test-case-name: twisted.web2.dav.test.test_delete -*-
##
# Copyright (c) 2005 Apple Computer, Inc. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
#
# DRI: Wilfredo Sanchez, [email protected]
##
"""
WebDAV DELETE method
"""
__all__ = ["http_DELETE"]
from twisted.python import log
from twisted.web2 import responsecode
from twisted.web2.dav.fileop import delete
def http_DELETE(self, request):
"""
Respond to a DELETE request. (RFC 2518, section 8.6)
"""
if not self.fp.exists():
log.err("File not found: %s" % (self.fp.path,))
return responsecode.NOT_FOUND
depth = request.headers.getHeader("depth", "infinity")
return delete(request.uri, self.fp, depth)
| [
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] | 3.225926 | 540 |
# flake8: noqa
from .draw_curve import draw_froc_curve, draw_roc_curve, draw_pr_curve
from .image import Color, imshow, imshow_bboxes
__all__ = [k for k in globals().keys() if not k.startswith("_")]
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] | 2.5125 | 80 |
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import tensorflow as tf
import xarray as xr
def plot_loss(history: tf.keras.callbacks.History):
"""
Visualizes the progress of a trained model by plotting the loss per epoch
Parameters
----------
history: tf.keras.callbacks.History
A Tensorflow history object that holds information about training progress
"""
plt.plot(history.history['loss'], label='Loss')
plt.plot(history.history['val_loss'], label='Validation Loss')
plt.xlabel('Epoche')
plt.ylabel('RMSE')
plt.legend()
plt.grid(True)
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] | 2.804545 | 220 |
from enum import Enum
# Maps token symbol to the token type
ONE_SYMBOL_TOKENS = {
"+": TokenType.PLUS,
"-": TokenType.MINUS,
"*": TokenType.MULTIPLY,
"/": TokenType.REAL_DIV,
"(": TokenType.LPAR,
")": TokenType.RPAR,
";": TokenType.SEMI,
":": TokenType.COLON,
",": TokenType.COMMA,
".": TokenType.DOT,
}
# Maps token word to the token type
RESERVED_KEYWORDS = {
"program": TokenType.PROGRAM,
"procedure": TokenType.PROCEDURE,
"var": TokenType.VAR,
"integer": TokenType.INTEGER,
"real": TokenType.REAL,
"begin": TokenType.BEGIN,
"end": TokenType.END,
"div": TokenType.INTEGER_DIV,
} | [
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] | 2.222973 | 296 |
import os
import logging
import boto3
from botocore.exceptions import ClientError
from .common import get_file, create_path
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#!/usr/bin/env python
from sys import exit, stdin
from os import environ, path, unlink
from tempfile import NamedTemporaryFile
from subprocess import Popen, PIPE
from argparse import ArgumentParser
import parser
import lexer
__author__ = "Juan J. Martinez <[email protected]>"
__version__ = "0.6.3"
app_name = "JTC"
project_url = "http://www.usebox.net/jjm/jtc/"
operators = ('+', '-', '*', '/', '=', '<>', '>', '<', '>=', '<=', 'and', 'or', 'mod', 'not')
enum = ('ADD', 'SUB', 'MUL', 'DIV', 'EQ', 'NE', 'GT', 'LT', 'GE', 'LE', 'AND', 'OR', 'MOD', 'NOT')
op_trans = dict(zip(operators, enum))
if __name__ == "__main__":
ap = ArgumentParser(description="%s (Juan's Toy Compiler)" % app_name,
epilog=project_url,
)
ap.add_argument("source", help="source file to compile (use - for stdin)")
ap.add_argument("--lexer", action="store_true", help="dump lexer output and exit")
ap.add_argument("--parser", action="store_true", help="dump parser output and exit")
ap.add_argument("-c", action="store_true", help="dump C output and exit")
ap.add_argument("--debug", action="store_true", help="enable debug")
ap.add_argument("--no-gc", action="store_true", help="disable the garbage collector")
ap.add_argument("--verbose", action="store_true", help="enable verbose output")
ap.add_argument("--version", action="version", version="%(prog)s " + __version__)
args = ap.parse_args()
if args.verbose:
print("starting: %s ver %s" % (app_name, __version__))
if args.verbose:
print("reading source from:", args.source)
if args.source == "-":
source = "<stdin>"
data = stdin.read()
else:
source = args.source
try:
fd = open(args.source, "rt")
except IOError:
ap.error("failed to open %r" % args.source)
try:
data = fd.read()
except IOError as ex:
ap.error("failed to read %r: %s" % (args.source, ex))
finally:
fd.close()
if args.lexer:
l = lexer.Lexer()
l.build()
print(l.test(data))
exit(0)
ast = parser.parse(data, debug=args.debug)
if not ast:
exit(1)
ast.source = source
if args.parser:
print(ast)
exit(0)
if args.verbose:
print("generating code: %d function(s)" % len(ast.funcs))
c = generate(ast)
if args.c:
print(c)
exit(1)
cc = environ.get("CC", "gcc")
cflags = environ.get("CFLAGS", None)
home = environ.get("JTCHOME", path.abspath(path.dirname(__file__)))
fd = NamedTemporaryFile(mode="wt", suffix=".c", delete=False)
try:
fd.write(c)
fd.close()
cmd = [cc,]
if cflags:
cmd += cflags.split(" ")
cmd += ["-std=c99", "-Wall", "-I%s" % path.join(home, "include"), fd.name, "-o", source + ".out", "-lm"]
if not args.no_gc:
cmd.append("-lgc")
else:
cmd.append("-DDISABLE_GC")
if args.debug:
cmd.append("-ggdb")
else:
cmd.extend(["-s", "-O2"])
if args.verbose:
print("compiling:", ' '.join(cmd))
try:
p = Popen(cmd, stderr=PIPE, close_fds=True)
if p.wait() != 0:
errors = p.stderr.read()
if any(e in errors for e in (b"-lgc", b"gc.h:")):
print("*** gc not found, use --no-gc to disable the garbage collector")
print("%s output: %r" % (cc, errors))
exit(1)
except BaseException as ex:
print("error running the C compiler: %s" % ex)
exit(1)
finally:
unlink(fd.name)
if args.verbose:
print("done")
exit(0)
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] | 2.093596 | 1,827 |
# -*- coding: utf-8 -*-
from setuptools import find_packages, setup
__version__ = "0.1.1"
__desc__ = "A dead-simple GraphQL client that supports subscriptions over websockets"
with open('README.md') as readme_file:
readme = readme_file.read()
requirements = [
'websocket-client==0.54.0'
]
test_requirements = []
setup(
name='py-graphql-client',
version=__version__,
description=__desc__,
long_description=readme,
long_description_content_type='text/markdown',
author="Anon Ray",
author_email='[email protected]',
url='https://github.com/ecthiender/py-graphql-client',
packages=find_packages(exclude=['tests', 'tests.*']),
package_data={'': ['LICENSE']},
package_dir={'graphql_client': 'graphql_client'},
python_requires=">=3.4",
include_package_data=True,
install_requires=requirements,
license="BSD3",
zip_safe=False,
keywords=['graphql', 'websocket', 'subscriptions', 'graphql-client'],
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: BSD License',
'Natural Language :: English',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.8',
'Environment :: Console',
'Environment :: Web Environment',
'Environment :: Other Environment',
'Topic :: Internet :: WWW/HTTP',
'Topic :: Software Development :: Libraries',
],
test_suite='tests',
tests_require=test_requirements
)
| [
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8,
198
] | 2.622034 | 590 |
#
# Copyright (c) 2019-2021 James Thorne.
#
# This file is part of factual error correction.
# See https://jamesthorne.co.uk for further info.
#
# 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 json
from argparse import ArgumentParser
if __name__ == "__main__":
parser = ArgumentParser()
parser.add_argument("in_file")
args = parser.parse_args()
any_masks = 0
total_read = 0
mask_lens = []
tok_lens = []
mask_prop = []
with open(args.in_file) as f:
for line in f:
instance = json.loads(line)
total_read += 1
tok_lens.append(len(instance["original_claim"].split()))
if len(instance["master_explanation"]):
any_masks += 1
mask_lens.append(len(instance["master_explanation"]))
mask_prop.append(mask_lens[-1] / tok_lens[-1])
print(f"Read {total_read} instances, of which {any_masks} have masks")
print("Average mask length is: ", sum(mask_lens) / len(mask_lens))
print("Average mask prop is: ", sum(mask_prop) / len(mask_prop))
print("Average tok length is: ", sum(tok_lens) / len(tok_lens))
print()
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] | 2.597843 | 649 |
"""
Data loader for TACRED json files.
"""
import json
import random
import torch
import numpy as np
class DataLoader(object):
"""
Load data from json files, preprocess and prepare batches.
"""
def preprocess(self, data, opt):
""" Preprocess the data and convert to ids. """
processed = []
self.user_item_pair = []
for mytuple in data:
processed.append((mytuple[0],mytuple[1]))
if len(self.user_real_dict[mytuple[0]]) > self.opt["min_neighbor"] and len(self.user_fake_dict[mytuple[0]]) > self.opt[
"min_neighbor"] and len(self.item_real_dict[mytuple[1]]) > self.opt["min_neighbor"] and len(
self.item_fake_dict[mytuple[1]]) > self.opt["min_neighbor"]:
self.user_item_pair.append((mytuple[0],mytuple[1]))
return processed
def __getitem__(self, key):
""" Get a batch with index. """
if not isinstance(key, int):
raise TypeError
if key < 0 or key >= len(self.data):
raise IndexError
batch = self.data[key]
batch_size = len(batch)
if self.eval :
batch = list(zip(*batch))
return torch.LongTensor(batch[0]), batch[1]
else :
negative_tmp = []
for i in range(batch_size):
for j in range(self.opt["negative"]):
while 1:
rand = random.randint(0,self.opt["number_item"]-1)
if rand not in self.user_real_dict[batch[i][0]]:
negative_tmp.append((batch[i][0],rand))
break
batch = list(zip(*batch))
negative_tmp = list(zip(*negative_tmp))
if self.opt["number_user"] * self.opt["number_item"] > 10000000:
user_index = []
item_index = []
real_user_index_id = []
fake_user_index_id = []
real_item_index_id = []
fake_item_index_id = []
random.shuffle(self.user_item_pair)
for id in range(10):
user = self.user_item_pair[id][0]
item = self.user_item_pair[id][1]
real_item_id = list(self.user_real_dict[user])
real_user_id = list(self.item_real_dict[item])
fake_item_id = list(self.user_fake_dict[user])
fake_user_id = list(self.item_fake_dict[item])
random.shuffle(real_item_id)
random.shuffle(fake_item_id)
random.shuffle(real_user_id)
random.shuffle(fake_user_id)
real_item_id = real_item_id[:self.opt["min_neighbor"]]
fake_item_id = fake_item_id[:self.opt["min_neighbor"]]
real_user_id = real_user_id[:self.opt["min_neighbor"]]
fake_user_id = fake_user_id[:self.opt["min_neighbor"]]
user_index.append(user)
item_index.append(item)
fake_user_id = real_user_id
fake_item_id = real_item_id
real_item_index_id.append(real_item_id)
real_user_index_id.append(real_user_id)
fake_item_index_id.append(fake_item_id)
fake_user_index_id.append(fake_user_id)
return torch.LongTensor(batch[0]), torch.LongTensor(batch[1]) , torch.LongTensor(negative_tmp[1]) , torch.LongTensor(user_index), torch.LongTensor(item_index), torch.LongTensor(real_user_index_id), torch.LongTensor(fake_user_index_id), torch.LongTensor(real_item_index_id), torch.LongTensor(fake_item_index_id)
return torch.LongTensor(batch[0]), torch.LongTensor(batch[1]),torch.LongTensor(negative_tmp[1])
class wikiDataLoader(object):
"""
Load data from json files, preprocess and prepare batches.
"""
def preprocess(self, data, opt):
""" Preprocess the data and convert to ids. """
processed = []
self.user_item_pair = []
for mytuple in data:
processed.append((mytuple[0],mytuple[1],mytuple[2]))
if len(self.user_real_dict[mytuple[0]]) > self.opt["min_neighbor"] and len(
self.user_fake_dict[mytuple[0]]) > self.opt[
"min_neighbor"] and len(self.item_real_dict[mytuple[1]]) > self.opt["min_neighbor"] and len(
self.item_fake_dict[mytuple[1]]) > self.opt["min_neighbor"]:
self.user_item_pair.append((mytuple[0], mytuple[1]))
return processed
def __getitem__(self, key):
""" Get a batch with index. """
if not isinstance(key, int):
raise TypeError
if key < 0 or key >= len(self.data):
raise IndexError
batch = self.data[key]
batch_size = len(batch)
if self.eval :
batch = list(zip(*batch))
return torch.LongTensor(batch[0]), torch.LongTensor(batch[1])+torch.tensor(self.opt["number_user"]), np.array(batch[2])
else :
negative_tmp = []
for i in range(batch_size):
for j in range(self.opt["negative"]):
while 1:
rand = random.randint(0,self.opt["number_item"]-1)
if rand not in self.user_real_dict[batch[i][0]]:
negative_tmp.append((batch[i][0],rand))
break
batch = list(zip(*batch))
negative_tmp = list(zip(*negative_tmp))
if self.opt["number_user"] * self.opt["number_item"] > 10000000:
user_index = []
item_index = []
real_user_index_id = []
fake_user_index_id = []
real_item_index_id = []
fake_item_index_id = []
random.shuffle(self.user_item_pair)
for id in range(10):
user = self.user_item_pair[id][0]
item = self.user_item_pair[id][1]
real_item_id = list(self.user_real_dict[user])
real_user_id = list(self.item_real_dict[item])
fake_item_id = list(self.user_fake_dict[user])
fake_user_id = list(self.item_fake_dict[item])
random.shuffle(real_item_id)
random.shuffle(fake_item_id)
random.shuffle(real_user_id)
random.shuffle(fake_user_id)
real_item_id = real_item_id[:self.opt["min_neighbor"]]
fake_item_id = fake_item_id[:self.opt["min_neighbor"]]
real_user_id = real_user_id[:self.opt["min_neighbor"]]
fake_user_id = fake_user_id[:self.opt["min_neighbor"]]
user_index.append(user)
item_index.append(item)
fake_user_id = real_user_id
fake_item_id = real_item_id
real_item_index_id.append(real_item_id)
real_user_index_id.append(real_user_id)
fake_item_index_id.append(fake_item_id)
fake_user_index_id.append(fake_user_id)
return torch.LongTensor(batch[0]), torch.LongTensor(batch[1]) , torch.LongTensor(negative_tmp[1]) , torch.LongTensor(user_index), torch.LongTensor(item_index), torch.LongTensor(real_user_index_id), torch.LongTensor(fake_user_index_id), torch.LongTensor(real_item_index_id), torch.LongTensor(fake_item_index_id) # User , item, label -> batch | batch | batch
return torch.LongTensor(batch[0]), torch.LongTensor(batch[1]),torch.LongTensor(negative_tmp[1]) # User , item, neg_item -> batch | batch | batch
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220,
2469,
62,
9186,
4613,
15458,
930,
15458,
930,
15458,
628
] | 1.887422 | 4,166 |
import csv
import json
import sys
def make_json(args):
"""
Pretty simple and somewhat naive script that =takes a `.xsv` file as an argument,
converts it to JSON, and outputs it as a json file of the same name as the original csv.
It can handle .csv or .tsv files.
It does, however, make a lot of assumptions about the nature of the file and PKs,
so... we'll see how well it works.
"""
jsondata = []
# convert from args list
cvspath = args[0]
with open(cvspath, encoding='utf-8', errors='replace') as csvf:
if cvspath.endswith('.tsv'):
read_file = csv.DictReader(csvf, delimiter="\t")
else:
read_file = csv.DictReader(csvf)
for row in read_file:
jsondata.append(row)
jsonpath = cvspath.rsplit('.')[0] + '.json'
with open(jsonpath, 'w', encoding='utf-8') as jsonf:
jsonf.write(json.dumps(jsondata, indent=4))
if __name__ == "__main__":
make_json(sys.argv[1:]) | [
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] | 2.322506 | 431 |
"""Functions to test the difference of DEMs tools."""
import warnings
import geoutils as gu
import numpy as np
with warnings.catch_warnings():
warnings.simplefilter("ignore")
import xdem
| [
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] | 3.355932 | 59 |
import os import sys
## Modify this path
sys.path.append("C:\\Program Files (x86)\\Apache Software Foundation\\Trafodion Command Interface\\lib\\python")
import Session
# create a new session
sess = Session.Session()
# Connect to the database
x=sess. connect ("user1","password","16.123.456.78","23400")
# Execute sample queries
# execute takes the query string as argument
setSchema = "set schema TRAFODION.CI_SAMPLE"
selectTable = "select * from employee"
getStats = "get statistics"
#Contruct a list of SQL statements to be executed
queryList = [setSchema, selectTable, getStats] print "\n";
for query in queryList:
print sess.execute (query)
# disconnect the session
sess.disconnect()
del sess
sess=None
| [
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264,
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] | 3.268182 | 220 |
import os
import pytest
import numpy as np
AWNAS_TEST_NASBENCH = os.environ.get("AWNAS_TEST_NASBENCH", None)
@pytest.mark.skipif(
not AWNAS_TEST_NASBENCH, reason="do not test the nasbench BTC by default.")
@pytest.mark.parametrize("case", [
{"cls": "nasbench-101", "load_nasbench": False, "validate_spec": False}])
@pytest.mark.skipif(
not AWNAS_TEST_NASBENCH, reason="do not test the nasbench BTC by default.")
@pytest.mark.skipif(
not AWNAS_TEST_NASBENCH, reason="do not test the nasbench BTC by default.")
@pytest.mark.parametrize(
"case", [
{"embedder_type": "nb101-lstm"},
{"embedder_type": "nb101-lstm",
"embedder_cfg": {
"use_hid": True,
"num_layers": 3
}},
{"embedder_type": "nb101-seq"},
{"embedder_type": "nb101-flow"},
{"embedder_type": "nb101-flow",
"embedder_cfg": {
"use_final_only": True,
"use_global_node": True
}},
{"embedder_type": "nb101-gcn"},
{"embedder_type": "nb101-gcn",
"embedder_cfg": {
"use_final_only": True,
"use_global_node": True
}},
])
@pytest.mark.skipif(
not AWNAS_TEST_NASBENCH, reason="do not test the nasbench BTC by default.")
@pytest.mark.skipif(
not AWNAS_TEST_NASBENCH, reason="do not test the nasbench BTC by default.")
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19570,
198
] | 2.087218 | 665 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import shutil
import sys
import tempfile
from observations.r.forbes2000 import forbes2000
def test_forbes2000():
"""Test module forbes2000.py by downloading
forbes2000.csv and testing shape of
extracted data has 2000 rows and 8 columns
"""
test_path = tempfile.mkdtemp()
x_train, metadata = forbes2000(test_path)
try:
assert x_train.shape == (2000, 8)
except:
shutil.rmtree(test_path)
raise()
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] | 3.116279 | 172 |
# Copyright The PyTorch Lightning team.
#
# 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 abc import ABC, abstractmethod
from typing import Any, Optional
import numbers
import torch
from torch import nn
import numpy as np
from pytorch_lightning.metrics.converters import (
sync_ddp_if_available, gather_all_tensors_if_available,
convert_to_tensor, convert_to_numpy)
from pytorch_lightning.utilities.apply_func import apply_to_collection
from pytorch_lightning.utilities.device_dtype_mixin import DeviceDtypeModuleMixin
class Metric(DeviceDtypeModuleMixin, nn.Module, ABC):
"""
Abstract base class for metric implementation.
Should be used to implement metrics that
1. Return multiple Outputs
2. Handle their own DDP sync
Metric hooks that can be implemented are
* input_convert: pre-forward hook that takes care of input conversion
* output_convert: post-forward hook that takes care of output convertion
* ddp_sync: implementation of ddp sync, default is gather all
* aggregate: implement how values should be aggregated
* compute: post-ddp sync for additional metric computations
Call order
input_convert -> forward -> output_convert -> ddp_sync -> aggregate -> compute
"""
def __init__(self, name: str):
"""
Args:
name: the metric's name
"""
super().__init__()
self.name = name
self._dtype = torch.get_default_dtype()
self._device = torch.device('cpu')
# Register hooks
self.register_forward_pre_hook(self.input_convert)
self.register_forward_hook(self.output_convert)
self.register_forward_hook(self.ddp_sync)
self.register_forward_hook(self.aggregate)
self.register_forward_hook(self.compute)
@staticmethod
def input_convert(self, data: Any):
"""
Implement how the inputs should be casted before calling forward
Args:
data: input to forward method
Returns:
casted data
"""
return data
@abstractmethod
def forward(self, *args, **kwargs):
"""
Implements the actual metric computation.
Returns:
metric value or metric state
"""
raise NotImplementedError
@staticmethod
def output_convert(self, data: Any, output: Any):
"""
Implement how outputs from forward should be casted
Args:
data: input to forward method
output: output from forward method
Returns:
casted outputs
"""
return output
@staticmethod
def ddp_sync(self, data: Any, output: Any):
"""
Implement how the outputs from forward should be synced
Args:
data: input to forward method
output: output from the `output_convert` hook
Returns:
synced output
"""
return output
@staticmethod
def aggregate(self, data: Any, output: Any):
"""
Implement aggregation of values on the same device
Args:
data: input to forward method
output: output from the `ddp_sync` hook
Returns:
aggregated values
"""
return output
@staticmethod
def compute(self, data: Any, output: Any):
"""
Implement additionally metric computations to be done after the ddp sync
Args:
data: input to forward method
output: output from the `aggregate` hook
Returns:
final metric value
"""
return output
class TensorMetric(Metric):
"""
Base class for metric implementation operating directly on tensors.
All inputs and outputs will be casted to tensors if necessary.
Already handles DDP sync and input/output conversions.
"""
def __init__(self, name: str,
reduce_group: Optional[Any] = None,
reduce_op: Optional[Any] = None):
"""
Args:
name: the metric's name
reduce_group: the process group for DDP reduces (only needed for DDP training).
Defaults to all processes (world)
reduce_op: the operation to perform during reduction within DDP (only needed for DDP training).
Defaults to sum.
"""
super().__init__(name)
self.reduce_group = reduce_group
self.reduce_op = reduce_op
@staticmethod
@staticmethod
@staticmethod
class TensorCollectionMetric(Metric):
"""
Base class for metric implementation operating directly on tensors.
All inputs will be casted to tensors if necessary. Outputs won't be casted.
Already handles DDP sync and input conversions.
This class differs from :class:`TensorMetric`, as it assumes all outputs to
be collections of tensors and does not explicitly convert them. This is
necessary, since some collections (like for ROC, Precision-Recall Curve etc.)
cannot be converted to tensors at the highest level.
All numpy arrays and numbers occuring in these outputs will still be converted.
Use this class as a baseclass, whenever you want to ensure inputs are
tensors and outputs cannot be converted to tensors automatically
"""
def __init__(self, name: str,
reduce_group: Optional[Any] = None,
reduce_op: Optional[Any] = None):
"""
Args:
name: the metric's name
reduce_group: the process group for DDP reduces (only needed for DDP training).
Defaults to all processes (world)
reduce_op: the operation to perform during reduction within DDP (only needed for DDP training).
Defaults to sum.
"""
super().__init__(name)
self.reduce_group = reduce_group
self.reduce_op = reduce_op
@staticmethod
@staticmethod
@staticmethod
class NumpyMetric(Metric):
"""
Base class for metric implementation operating on numpy arrays.
All inputs will be casted to numpy if necessary and all outputs will
be casted to tensors if necessary.
Already handles DDP sync and input/output conversions.
"""
def __init__(self, name: str,
reduce_group: Optional[Any] = None,
reduce_op: Optional[Any] = None):
"""
Args:
name: the metric's name
reduce_group: the process group for DDP reduces (only needed for DDP training).
Defaults to all processes (world)
reduce_op: the operation to perform during reduction within DDP (only needed for DDP training).
Defaults to sum.
"""
super().__init__(name)
self.reduce_group = reduce_group
self.reduce_op = reduce_op
@staticmethod
@staticmethod
@staticmethod
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] | 2.615035 | 2,860 |
#!/usr/bin/env python3
# Copyright (c) 2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
import os
import argparse
from framework.argparse.option import add_tmp_directory_option
from framework.bitcoin.setup import bitcoin_setup_repo
from framework.test.exec import exec_cmd_no_error
from framework.test.exec import exec_cmd_error
from framework.test.exec import exec_cmd_json_no_error
from framework.test.exec import exec_cmd_json_error
from framework.test.exec import exec_modify_fixes_check
from framework.test.exec import exec_modify_doesnt_fix_check
from framework.test.cmd import ScriptTestCmd
###############################################################################
# test
###############################################################################
###############################################################################
# UI
###############################################################################
if __name__ == "__main__":
description = ("Tests basic_style.py through its range of subcommands and "
"options.")
parser = argparse.ArgumentParser(description=description)
add_tmp_directory_option(parser)
settings = parser.parse_args()
settings.repository = bitcoin_setup_repo(settings.tmp_directory,
branch="v0.14.0")
TestBasicStyleCmd(settings).run()
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] | 3.516355 | 428 |
from typing import Dict, Tuple
import pytest
# store history of failures per test class name and per index
# in parametrize (if parametrize used)
_test_failed_incremental: Dict[str, Dict[Tuple[int, ...], str]] = {}
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] | 3.041667 | 72 |
# **************************************************************************** #
# Air Hockey Table Project
# Author: Ricardo Valverde
# -------------------------
#This Code is Created for UCR's EE175 Senior Design Project
# This Code contains The Puck Object Striker
#For Pygame Documentation please see:
#https://www.pygame.org/docs/index.html
# **************************************************************************** #
import math
from pygame.math import Vector2
import pygame
from Constants import*
from linex import*
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] | 4.559322 | 118 |
from CC3501Utils import *
from Bombs import *
from Vista import *
from Pared import *
from Player import *
from Explosion import *
from PDes import *
from Enemy import *
from Win import *
from Power import *
import pygame
import math as m
import random as rand
#################################################################
#######MODULO DE FUNCIONES AUXILIARES PARA EL BOMBERMAN
#################################################################
###################
######choques######
###################
def chocaPared(p,l_pared,l_destructibles,direccion,dx,dy):
"""
True si esta chocando una pared
:param p: Player or Enemy
:param l_pared: List (listas de paredes)
:param direccion: str
:param dx: float
:param dy: float
:return: boolean
"""
(x,y)=p.getcenter()
epsilon=20
if direccion=="arriba":
y+=dy
if direccion=="abajo":
y-=dy
if direccion=="izquierda":
x-=dx
if direccion=="derecha":
x+=dx
for j in l_pared:
(z,w)=j.getcenter()
if abs(z-x)<epsilon and abs(w-y)<epsilon:
return True
for j in l_destructibles:
(z,w)=j.getcenter()
if abs(z-x)<epsilon and abs(w-y)<epsilon:
return True
return False
def chocar(obj1,obj2):
"""
True si objeto 1 y objeto 2 chocan
:param obj1: Object
:param obj2: Object
:return: boolean
"""
(x,y)=obj1.getcenter()
(z,w)=obj2.getcenter()
epsilon=20
return abs(z-x)<epsilon and abs(w-y)<epsilon
def frenteEnemigo(p,l_enemigos,direccion,dx,dy):
"""
True si p esta en frente de un enemigo
:param p: Enemy or Player
:param l_enemigos: list(Enemy)
:param direccion: str
:param dx: float
:param dy: float
:return: boolean
"""
(x,y)=p.getcenter()
epsilon=20
if direccion=="arriba":
y+=dy
if direccion=="abajo":
y-=dy
if direccion=="izquierda":
x-=dx
if direccion=="derecha":
x+=dx
for enemigo in l_enemigos:
(z,w)=enemigo.getcenter()
if abs(z-x)<epsilon and abs(w-y)<epsilon:
return True
return False
def moverEnemigo(l_enemigos,l_pared,l_destructibles,l_bombas,dificultad,dx,dy):
"""
Mueve los enemigos a posiciones adyacentes aleatorias
:param enemigo: Enemy
:param l_pared: list
:param l_destructibles: list
:param dx: float
:param dy: float
:return: none
"""
n=100
if dificultad=="medio":
n=50
if dificultad=="dificil":
n=25
if dificultad=="extremo":
n=5
direcciones = ["arriba", "abajo", "izquierda", "derecha"]
for enemigo in l_enemigos:
aux=[]
for e in l_enemigos:
if e!=enemigo:
aux.append(e)
j=rand.randint(0,n)
if j<4:
dire=direcciones[j]
if not chocaPared(enemigo,l_pared,l_destructibles,dire,dx,dy) and not chocaBomba(enemigo,l_bombas,dire,dx,dy) and not frenteEnemigo(enemigo,aux,dire,dx,dy):
if dire=="arriba":
enemigo.movery(1)
if dire=="abajo":
enemigo.movery(-1)
if dire=="izquierda":
enemigo.moverx(-1)
if dire=="derecha":
enemigo.moverx(1)
def chocaBorde(p,l_borde,direccion,dx,dy):
"""
True si el player o enemy apunta hacia un borde del laberinto
:param p: Player or Enemy
:param l_borde: List
:param direccion: str
:param dx: num
:param dy: num
:return: boolean
"""
(x, y) = p.getcenter()
epsilon = 20
if direccion == "arriba":
y += dy
if direccion == "abajo":
y -= dy
if direccion == "izquierda":
x -= dx
if direccion == "derecha":
x += dx
for j in l_borde:
(z, w) = j.getcenter()
if abs(z - x) < epsilon and abs(w - y) < epsilon:
return True
return False
#####################
######power ups######
#####################
#mecanicas:
def dis_prox_espacio(p,l_paredes,l_borde,l_destructibles,l_bomba,direccion,dx,dy):
"""
Da cuantos pasos debe hacer el jugador para llegar al proximo sin una pared o bomba, sirve para los power ups de saltos
:param p: Player
:param l_paredes: list
:param l_bordes: list
:param l_destructibles: list
:param l_bomba: list
:param direccion: str
:param dx:num
:param dy:num
:return:int
"""
i=1
inc=1
(x,y)=p.getpos()
aux=Player(Vector(x,y))
if direccion=="abajo" or direccion=="izquierda":
i=-1
inc=-1
while True:
if chocaBorde(aux, l_borde, direccion, dx, dy):
i = 0
break
if not chocaPared(aux,l_paredes,l_destructibles,direccion,dx,dy) and not chocaBomba(aux,l_bomba,direccion,dx,dy):
break
if direccion == "derecha":
aux.moverx(1)
if direccion == "arriba":
aux.movery(1)
if direccion == "abajo":
aux.movery(-1)
if direccion == "izquierda":
aux.moverx(-1)
i+=inc
return i
#generacion:
def generate_pwup(l_pw,l_players,l_paredes,l_win,l_bombas,l_enemigos,dx,dy):
"""
Genera un power up al azar en una posicion al azar
:param l_pw: list
:param l_players: list
:param l_paredes: list
:param l_win: list
:param l_bombas: list
:param l_enemigos: list
:param dx: num
:param dy: num
:return: None
"""
tipos=["rango","pared","bomba","inmortal","cadena"]
k=rand.randint(0,4)
tipe=tipos[k]
while True:
i=rand.randint(0,14)
j=rand.randint(0,12)
pw=Power(Vector(i*dx,j*dy),tipe)
poner=True
for pared in l_paredes:
if chocar(pared,pw):
poner=False
for power in l_pw:
if chocar(pw,power):
poner=False
for jugador in l_players:
if chocar(jugador,pw):
poner=False
for win in l_win:
if chocar(win,pw):
poner=False
for bomb in l_bombas:
if chocar(bomb,pw):
poner=False
for enemigo in l_enemigos:
if chocar(enemigo,pw):
poner=False
if poner:
l_pw.append(pw)
break
#obtencion,duracion y obtencion
def obtener_pwup(p: Player,l_power_ups,l_obtenidos,l_activados,t_a,sound=None):
"""
Mecanica para obtener un power up
:param p: Player
:param l_power_ups: list
:param l_obtenidos: list
:param l_activados: list
:param t_a: num
:param sound: wav or None
:return: None
"""
prob=rand.randint(0,100)
for pw in l_power_ups:
if chocar(p,pw):
if prob <= 40 and sound != None:
pygame.mixer.Sound.play(sound)
pw.tomar(t_a)
l_obtenidos.append(pw)
i=pw.getindex()
l_activados[i]=True
def duracion_pwup(l_power_ups,l_activados,t_a):
"""
Ve si el power up debe parar o no
:param l_power_ups: list
:param l_activados: list
:param t_a: num
:return: None
"""
for pw in l_power_ups:
tomado=pw.gettomado()
if tomado:
tiempo=pw.gettime()
duracion=pw.getduracion()
dif= abs(tiempo-t_a)
if dif>=duracion:
pw.setlife(False)
i=pw.getindex()
l_activados[i]=False
else:
i=pw.getindex()
l_activados[i]=True
def pwup_color(p: Player,l_power_ups,l_activados):
"""
Cambia el color de la camisa o el vestido
:param p: Player
:param l_power_ups: list
:param l_activados: list
:return: None
"""
for pw in l_power_ups:
i=pw.getindex()
if l_activados[i]:
(r,g,b)=pw.getcoloracion()
p.setcoloracion((r,g,b))
inactivos=True
for efecto in l_activados:
if efecto:
inactivos=False
if inactivos:
p.normalizar_camisa()
###################
######bombas#######
###################
def chocaBomba(p,l_bombas,direccion,dx,dy):
"""
Ve si el jugador o enemigo va a chocar con una bomba ( o apunta hacia ella)
:param p: Player or Enemy
:param l_bombas: list
:param direccion: str
:param dx: num
:param dy: num
:return: boolean
"""
(x,y)=p.getcenter()
epsilon=20
if direccion=="arriba":
y+=dy
if direccion=="izquierda":
x-=dx
if direccion=="abajo":
y-=dy
if direccion=="derecha":
x+=dx
for bomba in l_bombas:
(z,w)=bomba.getcenter()
if abs(z-x)<epsilon and abs(w-y)<epsilon:
return True
return False
def ponerBomba(l_bombas,jugador,direccion,t):
"""
pone una bomba en la direccion en que se mira
:param l_bombas: List
:param jugador: Player
:param direccion: str
:param t: float
:return: none
"""
(px,py)=jugador.getpos()
if direccion=="derecha":
l_bombas.append(Bombs(Vector(px+53.0,py),t))
if direccion=="izquierda":
l_bombas.append(Bombs(Vector(px-53.0,py),t))
if direccion=="arriba":
l_bombas.append(Bombs(Vector(px,py+46.0),t))
if direccion=="abajo":
l_bombas.append(Bombs(Vector(px,py-46.0),t))
def explosion_bombas(l_explosiones,l_bombas,l_paredes,rango,t_a,sonido=None):
"""
Ve que bombas deben explotar y genera las explosiones correspondientes
:param l_explosiones: list
:param l_bombas: list
:param l_paredes: list
:param rango: boolean
:param t_a: num
:param sonido: wav or None
:return: None
"""
dx=53.0
dy=46.0
for bomba in l_bombas:
t0=bomba.gettime()
dt=t_a-t0
if dt>=3000.0:
if sonido!=None:
pygame.mixer.Sound.play(sonido)
(x,y)=bomba.getcenter()
xp=x-dx/2
yp=y-dy/2
e=Explosion(t_a,Vector(xp,yp))
(e_arriba,ar)=(Explosion(t_a,Vector(xp,yp+dy)),True)
(e_izq,iz)=(Explosion(t_a,Vector(xp-dx,yp)),True)
(e_abajo,aba)=(Explosion(t_a,Vector(xp,yp-dy)),True)
(e_der,der)=(Explosion(t_a,Vector(xp+dx,yp)),True)
for pared in l_paredes:
if chocar(e_arriba,pared):
ar=False
if chocar(e_izq,pared):
iz=False
if chocar(e_abajo,pared):
aba=False
if chocar(e_der,pared):
der=False
l_explosiones.append(e)
if ar:
l_explosiones.append(e_arriba)
if iz:
l_explosiones.append(e_izq)
if aba:
l_explosiones.append(e_abajo)
if der:
l_explosiones.append(e_der)
#si tengo el power up:
if rango:
if ar:
(p_arriba,ar2)=(Explosion(t_a,Vector(xp,yp+2*dy)),True)
if iz:
(p_izq,iz2)=(Explosion(t_a,Vector(xp-2*dx,yp)),True)
if aba:
(p_aba,aba2)=(Explosion(t_a,Vector(xp,yp-2*dy)),True)
if der:
(p_der,der2)=(Explosion(t_a,Vector(xp+2*dx,yp)),True)
for pared in l_paredes:
if ar:
if chocar(p_arriba,pared):
ar2 = False
if iz:
if chocar(p_izq, pared):
iz2 = False
if aba:
if chocar(p_aba, pared):
aba2 = False
if der:
if chocar(p_der, pared):
der2 = False
if ar:
if ar2:
l_explosiones.append(p_arriba)
if iz:
if iz2:
l_explosiones.append(p_izq)
if aba:
if aba2:
l_explosiones.append(p_aba)
if der:
if der2:
l_explosiones.append(p_der)
bomba.setlife(False)
if dt>=1000.0 and not bomba.getcambio():
bomba.color=(63.0/255,63.0/255,63.0/255)
bomba.Cambio_change()
def explotar(l_objetos,l_exp):
"""
Ve que objetos son alcanzados por la explosion y los mata
:param l_objetos: list
:param l_exp: list
:return: None
"""
for obj in l_objetos:
for exp in l_exp:
if chocar(obj,exp):
obj.setlife(False)
def choque_players(l_players,l_enemigo):
"""
Ve si un enemigo esta chocando con un jugador
:param l_players: list
:param l_enemigo: list
:return: None
"""
for enemigo in l_enemigo:
for p in l_players:
if chocar(p,enemigo):
p.setlife(False)
def cadena_explosiones(l_explosiones,l_bombas,sonido,l_paredes,rango,t_a):
"""
Ve si hay que hacer una cadena de explosiones con el power up
:param l_explosiones: list
:param l_bombas: list
:param sonido: wav or None
:param l_paredes: list
:param rango:boolean
:param t_a: num
:return: boolean
"""
respuesta=False
for explosion in l_explosiones:
for bomba in l_bombas:
if chocar(explosion,bomba):
bomba.settime(4000)
respuesta=True
explosion_bombas(l_explosiones,l_bombas,l_paredes,rango,t_a,sonido)
return respuesta
######################
######creacion########
######################
def creaciondestructibles(l_destructibles,l_players,dificultad,dx,dy):
"""
Crea las paredes destructibles iniciales en posiciones aleatorias
:param l_destructibles: List
:param l_players: Player
:param dx: num
:param dy: num
:return:
"""
pos_players=[]
for p in l_players:
(x,y)=p.getcenter()
pos_players.append((x,y))
pos_players.append((x+dx,y))
pos_players.append((x-dx,y))
pos_players.append((x,y+dy))
pos_players.append((x,y-dy))
pos_players.append((x + 2*dx, y))
pos_players.append((x - 2*dx, y))
pos_players.append((x, y + 2*dy))
pos_players.append((x, y - 2*dy))
numeros=[]
n_min=5
n_max=20
if dificultad=="medio":
n_min=15
n_max=25
if dificultad=="dificil":
n_min=25
n_max=28
if dificultad=="extremo":
n_min=30
n_max=30
n_destructibles=rand.randint(n_min,n_max)
i=0;
while i<n_destructibles:
y=rand.randrange(1,11)
if y%2==0:
x=rand.randrange(1,13,2)
if y%2!=0:
x=rand.randrange(1,13)
if (x,y) in numeros:
continue
else:
pared=PDes(Vector(x*dx,y*dy))
if pared.getcenter() in pos_players:
continue
else:
numeros.append((x,y))
l_destructibles.append(pared)
i+=1
def creacionenemigos(l_enemigos,l_destructibles,l_players,dificultad,dx,dy):
"""
Crea n enemigos en posiciones aleatorias, segun la dificultad escogida
:param l_enemigos:List
:param l_destructibles: List
:param l_players: List
:param dx: num
:param dy: num
:return: None
"""
pos_players=[]
for p in l_players:
(x,y)=p.getpos()
pos_players.append(p)
pos_players.append(Player(Vector(x+dx,y)))
pos_players.append(Player(Vector(x - dx, y)))
pos_players.append(Player(Vector(x, y+dy)))
pos_players.append(Player(Vector(x, y-dy)))
pos_players.append(Player(Vector(x + 2*dx, y)))
pos_players.append(Player(Vector(x - 2*dx, y)))
pos_players.append(Player(Vector(x, y+2*dx)))
pos_players.append(Player(Vector(x , y-2*dy)))
max=4
min=4
if dificultad=="medio":
min=7
max=10
if dificultad=="dificil":
min=10
max=13
if dificultad=="extremo":
if len(l_players)==2:
min=14
max=14
else:
min=15
max=15
n_enemigos = rand.randint(min,max)
i = 0;
while i < n_enemigos:
y = rand.randrange(1, 11)
if y % 2 == 0:
x = rand.randrange(1, 13, 2)
if y % 2 != 0:
x = rand.randrange(1, 13)
else:
tipe=rand.randint(1,2)
enemigo=Enemy(Vector(x*dx, y*dy),tipe)
poner=True
for p in pos_players:
if chocar(enemigo,p):
poner=False
for destructible in l_destructibles:
if chocar(enemigo,destructible):
poner=False
for e in l_enemigos:
if chocar(enemigo,e):
poner=False
if poner:
l_enemigos.append(enemigo)
i += 1
def creacionposganar(l_destructibles: list,l_win):
"""
genera la posicion de victoria dentro de una caja destructible al azar
:param l_destructibles: list
:param l_win: list
:return: None
"""
i=rand.randrange(0,len(l_destructibles)-1)
des=l_destructibles[i]
l_win.append(Win(des.pos))
#############################
###Creacion de mas niveles###
#############################
def creacionnivel(l_win,l_powers,l_enemigos,l_paredes,l_destructibles,l_players,l_bombas,dificultad,dx,dy):
"""
Crea un nivel nuevo al azar
:param l_win: list
:param l_powers: list
:param l_enemigos: list
:param l_paredes: list
:param l_destructibles: list
:param l_players: list
:param l_bombas: list
:param dificultad: str
:param dx: num
:param dy: num
:return: None
"""
creaciondestructibles(l_destructibles,l_players,dificultad,dx,dy)
creacionenemigos(l_enemigos,l_destructibles,l_players,dificultad,dx,dy)
creacionposganar(l_destructibles,l_win)
generate_pwup(l_powers,l_players,l_paredes,l_win,l_bombas,l_enemigos,dx,dy)
generate_pwup(l_powers, l_players, l_paredes, l_win, l_bombas, l_enemigos, dx, dy)
####################
######limpieza######
####################
def ganaste(l_win,l_player):
"""
True si algun jugador toco la posicion de victoria
:param l_win: list
:param l_player: list
:return: boolean
"""
p=l_win[0]
for jugador in l_player:
if chocar(jugador,p):
return True
return False
def lexp(l_explosiones,t_a):
"""
Modifica el estado de las explosiones
:param l_explosiones: List
:param t_a: num
:return: none
"""
for exp in l_explosiones:
t0=exp.gettime()
dt=t_a-t0
if dt>=500.0:
exp.setlife(False)
def limpiar(arr):
"""
Borra los elementos que no estan en escena (o no estan vivos)
:param arr: List
:return: none
"""
n=len(arr)
aux=[]
for i in range(n):
elemento=arr.pop(0)
if elemento.getlife():
aux.append(elemento)
for b in aux:
arr.append(b) | [
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220,
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220,
220,
220,
220,
220,
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198,
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220,
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220,
220,
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220,
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220,
220,
37227,
198,
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220,
220,
329,
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220,
220,
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256,
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28,
11201,
13,
1136,
2435,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
288,
83,
28,
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62,
64,
12,
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15,
198,
220,
220,
220,
220,
220,
220,
220,
611,
288,
83,
29,
28,
4059,
13,
15,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1033,
13,
2617,
6042,
7,
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8,
198,
4299,
42102,
12571,
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2599,
198,
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220,
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37227,
198,
220,
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220,
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452,
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220,
220,
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220,
220,
1058,
7783,
25,
4844,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
299,
28,
11925,
7,
3258,
8,
198,
220,
220,
220,
27506,
28,
21737,
198,
220,
220,
220,
329,
1312,
287,
2837,
7,
77,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
5002,
78,
28,
3258,
13,
12924,
7,
15,
8,
198,
220,
220,
220,
220,
220,
220,
220,
611,
5002,
78,
13,
1136,
6042,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
27506,
13,
33295,
7,
30854,
78,
8,
198,
220,
220,
220,
329,
275,
287,
27506,
25,
198,
220,
220,
220,
220,
220,
220,
220,
5240,
13,
33295,
7,
65,
8
] | 1.843326 | 10,474 |
myint = 7
print(myint)
# the below way is another way to do the above
print(7)
# This will print 7.
| [
1820,
600,
796,
767,
198,
4798,
7,
1820,
600,
8,
198,
198,
2,
262,
2174,
835,
318,
1194,
835,
284,
466,
262,
2029,
198,
4798,
7,
22,
8,
198,
198,
2,
770,
481,
3601,
767,
13,
198
] | 2.756757 | 37 |
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