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import SimpleITK as sitk
import matplotlib.pyplot as plt
import numpy as np
#
# Set of methods used for displaying the registration metric during the optimization.
#
# Callback invoked when the StartEvent happens, sets up our new data.
# Callback invoked when the EndEvent happens, do cleanup of data and figure.
# Callback invoked when the IterationEvent happens, update our data and display new figure.
# Callback invoked when the sitkMultiResolutionIterationEvent happens, update the index into the
# metric_values list.
def overlay_binary_segmentation_contours(image, mask, window_min, window_max):
"""
Given a 2D image and mask:
a. resample the image and mask into isotropic grid (required for display).
b. rescale the image intensities using the given window information.
c. overlay the contours computed from the mask onto the image.
"""
# Resample the image (linear interpolation) and mask (nearest neighbor interpolation) into an isotropic grid,
# required for display.
original_spacing = image.GetSpacing()
original_size = image.GetSize()
min_spacing = min(original_spacing)
new_spacing = [min_spacing, min_spacing]
new_size = [int(round(original_size[0]*(original_spacing[0]/min_spacing))),
int(round(original_size[1]*(original_spacing[1]/min_spacing)))]
resampled_img = sitk.Resample(image, new_size, sitk.Transform(),
sitk.sitkLinear, image.GetOrigin(),
new_spacing, image.GetDirection(), 0.0,
image.GetPixelID())
resampled_msk = sitk.Resample(mask, new_size, sitk.Transform(),
sitk.sitkNearestNeighbor, mask.GetOrigin(),
new_spacing, mask.GetDirection(), 0.0,
mask.GetPixelID())
# Create the overlay: cast the mask to expected label pixel type, and do the same for the image after
# window-level, accounting for the high dynamic range of the CT.
return sitk.LabelMapContourOverlay(sitk.Cast(resampled_msk, sitk.sitkLabelUInt8),
sitk.Cast(sitk.IntensityWindowing(resampled_img,
windowMinimum=window_min,
windowMaximum=window_max),
sitk.sitkUInt8),
opacity = 1,
contourThickness=[2,2])
def display_coronal_with_overlay(temporal_slice, coronal_slice, images, masks, label, window_min, window_max):
"""
Display a coronal slice from the 4D (3D+time) CT with a contour overlaid onto it. The contour is the edge of
the specific label.
"""
img = images[temporal_slice][:,coronal_slice,:]
msk = masks[temporal_slice][:,coronal_slice,:]==label
overlay_img = overlay_binary_segmentation_contours(img, msk, window_min, window_max)
# Flip the image so that corresponds to correct radiological view.
plt.imshow(np.flipud(sitk.GetArrayFromImage(overlay_img)))
plt.axis('off')
plt.show()
def display_coronal_with_label_maps_overlay(coronal_slice, mask_index, image, masks, label, window_min, window_max):
"""
Display a coronal slice from a 3D CT with a contour overlaid onto it. The contour is the edge of
the specific label from the specific mask. Function is used to display results of transforming a segmentation
using registration.
"""
img = image[:,coronal_slice,:]
msk = masks[mask_index][:,coronal_slice,:]==label
overlay_img = overlay_binary_segmentation_contours(img, msk, window_min, window_max)
# Flip the image so that corresponds to correct radiological view.
plt.imshow(np.flipud(sitk.GetArrayFromImage(overlay_img)))
plt.axis('off')
plt.show()
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# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: communicate.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='communicate.proto',
package='valet',
syntax='proto3',
serialized_options=None,
create_key=_descriptor._internal_create_key,
serialized_pb=b'\n\x11\x63ommunicate.proto\x12\x05valet\"!\n\x0eRequestMessage\x12\x0f\n\x07message\x18\x01 \x01(\t\"/\n\x0cReplyMessage\x12\x0e\n\x06status\x18\x01 \x01(\x03\x12\x0f\n\x07message\x18\x02 \x01(\t2B\n\x0b\x43ommunicate\x12\x33\n\x03Say\x12\x15.valet.RequestMessage\x1a\x13.valet.ReplyMessage\"\x00\x62\x06proto3'
)
_REQUESTMESSAGE = _descriptor.Descriptor(
name='RequestMessage',
full_name='valet.RequestMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='message', full_name='valet.RequestMessage.message', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=28,
serialized_end=61,
)
_REPLYMESSAGE = _descriptor.Descriptor(
name='ReplyMessage',
full_name='valet.ReplyMessage',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='status', full_name='valet.ReplyMessage.status', index=0,
number=1, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='message', full_name='valet.ReplyMessage.message', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=63,
serialized_end=110,
)
DESCRIPTOR.message_types_by_name['RequestMessage'] = _REQUESTMESSAGE
DESCRIPTOR.message_types_by_name['ReplyMessage'] = _REPLYMESSAGE
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
RequestMessage = _reflection.GeneratedProtocolMessageType('RequestMessage', (_message.Message,), {
'DESCRIPTOR' : _REQUESTMESSAGE,
'__module__' : 'communicate_pb2'
# @@protoc_insertion_point(class_scope:valet.RequestMessage)
})
_sym_db.RegisterMessage(RequestMessage)
ReplyMessage = _reflection.GeneratedProtocolMessageType('ReplyMessage', (_message.Message,), {
'DESCRIPTOR' : _REPLYMESSAGE,
'__module__' : 'communicate_pb2'
# @@protoc_insertion_point(class_scope:valet.ReplyMessage)
})
_sym_db.RegisterMessage(ReplyMessage)
_COMMUNICATE = _descriptor.ServiceDescriptor(
name='Communicate',
full_name='valet.Communicate',
file=DESCRIPTOR,
index=0,
serialized_options=None,
create_key=_descriptor._internal_create_key,
serialized_start=112,
serialized_end=178,
methods=[
_descriptor.MethodDescriptor(
name='Say',
full_name='valet.Communicate.Say',
index=0,
containing_service=None,
input_type=_REQUESTMESSAGE,
output_type=_REPLYMESSAGE,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
])
_sym_db.RegisterServiceDescriptor(_COMMUNICATE)
DESCRIPTOR.services_by_name['Communicate'] = _COMMUNICATE
# @@protoc_insertion_point(module_scope)
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420,
62,
28463,
295,
62,
4122,
7,
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62,
29982,
8,
198
] | 2.537507 | 1,773 |
import asyncio
import json
import os
import aiofiles
import discord
with open('config.json') as f:
config = json.load(f)
if __name__ == '__main__':
main()
| [
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""" Useful functions for a PDA """
from .state import State
from .symbol import Symbol
from .stack_symbol import StackSymbol
from .epsilon import Epsilon
class PDAObjectCreator:
"""
A Object in a PDA
"""
def to_state(self, given):
""" Convert to a state """
if isinstance(given, State):
return _get_object_from_known(given, self._state_creator)
return _get_object_from_raw(given, self._state_creator, State)
def to_symbol(self, given):
""" Convert to a symbol """
if isinstance(given, Symbol):
return _get_object_from_known(given, self._symbol_creator)
if given == "epsilon":
return Epsilon()
return _get_object_from_raw(given, self._symbol_creator, Symbol)
def to_stack_symbol(self, given):
""" Convert to a stack symbol """
if isinstance(given, StackSymbol):
return _get_object_from_known(given,
self._stack_symbol_creator)
if isinstance(given, Epsilon):
return given
return _get_object_from_raw(given,
self._stack_symbol_creator,
StackSymbol)
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220,
220,
220,
220,
220,
220,
23881,
13940,
23650,
8,
628,
198
] | 2.175439 | 570 |
infile = open("input.txt")
T =int(infile.readline().strip())
for t in range(1, T+1):
solve(t, infile.readline().split(' '))
| [
198,
259,
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] | 2.37037 | 54 |
# -*- coding: utf-8 -*-
"""
File to test Isis performance
"""
__created__ = "2007-05-15"
__updated__ = "2008-05-15"
__author__ = "Rodrigo Senra <[email protected]>"
# Setup test environment
from timeit import Timer
from pyisis.tests.config_tests import test_data, Lyer, initialize
config = initialize()
setup="""
from pyisis.files import MasterFile
from pyisis.views import list_all
from os.path import join
mf = MasterFile(join("..","sample","cds.mst"))
"""
if __name__=="__main__":
list_all() | [
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834,
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220,
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1351,
62,
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3419
] | 2.737705 | 183 |
from typing import Dict, List
import numpy as np
from keras import utils
from keras.engine import Layer
from keras.layers import Embedding
from keras.models import Sequential
from keras.preprocessing import text, sequence
from unify_eval.model.mixins.classification import DeepModel, Classifier
from unify_eval.model.types import Tensor
from unify_eval.utils.label_mapper import LabelMapper
class KerasModel(Classifier):
"""
Wrapper around a keras classifier model.
"""
def __init__(self,
tokenizer: text.Tokenizer,
keras_model: Sequential,
label_mapper: LabelMapper,
maxlen: int,
text_kw: str = "texts",
label_kw: str = "labels"):
"""
:param tokenizer: tokenizer to use
:param keras_model: actual keras model
:param label_mapper: label mapper instance that maps label indices to label names and vice versa
:param maxlen: maximum input length (remainder is ignored)
:param text_kw: keyword by which to extract text input
:param label_kw: keyword by which to extract label input
"""
super().__init__(label_mapper)
self.keras_model = keras_model
self.tokenizer = tokenizer
self.maxlen = maxlen
self.text_kw = text_kw
self.label_kw = label_kw
self.loss = {}
def preprocess_texts(self, texts) -> np.ndarray:
"""
map texts to padded index sequences
"""
sequences = self.tokenizer.texts_to_sequences([str(text) for text in texts])
x = sequence.pad_sequences(sequences=sequences, maxlen=self.maxlen)
return x
def preprocess_labels(self, labels) -> np.ndarray:
"""
map labels to onehot indices
"""
y = self.label_mapper.map_to_indices(labels)
y = utils.to_categorical(y, self.label_mapper.n_labels)
return y
@classmethod
@staticmethod
def pretrained_keras_model(
tokenizer: text.Tokenizer,
keras_layers: List[Layer],
label_mapper: LabelMapper,
embedding_dim: int,
embedding_index: Dict[str, np.ndarray],
maxlen: int,
text_kw: str = "texts",
label_kw: str = "labels") -> "KerasModel":
"""
:param tokenizer: tokenizer to use
:param keras_layers: list of layers to concatenate into single model
:param label_mapper: label mapper instance that maps label indices to label names and vice versa
:param embedding_dim: embedding dimensionality
:param embedding_index: map from token to embedding
:param maxlen: maximum input length (remainder is ignored)
:param text_kw: keyword by which to extract text input
:param label_kw: keyword by which to extract label input
"""
embedding_matrix = np.zeros((len(tokenizer.word_index) + 1, embedding_dim))
for word, i in tokenizer.word_index.items():
embedding_vector = embedding_index.get(word)
if embedding_vector is not None:
# words not found in embedding index will be all-zeros.
embedding_matrix[i] = embedding_vector
embedding_layer = Embedding(len(tokenizer.word_index) + 1,
embedding_dim,
weights=[embedding_matrix],
input_length=maxlen,
trainable=False)
keras_model = Sequential([
embedding_layer,
*keras_layers])
keras_model.compile(loss='categorical_crossentropy',
optimizer='adam',
metrics=['categorical_crossentropy'])
return KerasModel(tokenizer=tokenizer,
keras_model=keras_model,
label_mapper=label_mapper,
maxlen=maxlen,
text_kw=text_kw,
label_kw=label_kw)
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] | 2.129216 | 1,927 |
#!/usr/bin/env python3
################################################################
# Check for 'myfile.csv' in a certain directory
# Since this has more than two lines, it will output the files contents
# You should also try renaming to 'myfile3.csv' and re-running to ensure it catches it
################################################################
class Error(Exception):
''' Base class for other exceptions'''
pass
# here we define our own error
try:
filename = 'C:\\_gwill\\repo-home\\h1python\\learning\\base-language\\custom-errors\\myfile2.csv'
#Use `with open(filename, encoding='utf-8') as thefile:` if the file has special chars
with open(filename) as thefile:
#if the file has less than 2 lines, throw our own error
file_content = thefile.readlines()
# At this point, file_content should contain a list like ['FirstName,LastName\n', 'Darth,Vader']
line_count = len(file_content)
if line_count < 2:
raise EmptyFileError
except FileNotFoundError:
# catch if file doesn't exist
print("there is no myfile2.csv")
except EmptyFileError:
# catch our custom error
print('your file has less than two lines, exiting...')
thefile.close()
except Exception as e:
# catch any other exception
print('Failed: Exception was ' + str(e))
thefile.close()
else:
# yay! we made it without errors, let's read the file!
# since we did readlines(), it is a list object so we loop through and print
# If we instead did read() then you would just print
for one_line in file_content:
# and end='' in order for there not to be line breaks for each line
#print(one_line)
print(one_line, end='')
thefile.close()
#print('Success!')
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] | 2.996661 | 599 |
## The Drug Interaction Knowledge Base (DIKB) is (C) Copyright 2005 by
## Richard Boyce
## Original Authors:
## Richard Boyce
## This library is free software; you can redistribute it and/or
## modify it under the terms of the GNU Library General Public
## License as published by the Free Software Foundation; either
## version 2 of the License, or (at your option) any later version.
## This library is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
## Library General Public License for more details.
## You should have received a copy of the GNU Library General Public
## License along with this library; if not, write to the
## Free Software Foundation, Inc., 59 Temple Place - Suite 330,
## Boston, MA 02111-1307, USA.
## -----------------------------------------------------------------
## File: DIKB_Utils.py
###Functions for editing assertions in the KBs
from DIKB import *
from DrugModel import *
from EvidenceModel import *
# #### a function for adding bioavailability - TODO: create general evidence adding/editing functions
# def addBioavail(drg,et,pntr, quote, val, revwr, ev_base, ev_pickle_path, dikb):
# """ add evidence for the bioavailability of a drug.
# in: drg - a string specifying an drug in the 'dikb' knowledge-base
# in: et - a string specifying the 'evidence_type' of the evidence
# in: pntr - a string specifying the name or pubmed id of the evidence
# in: quote - a relevant quote from the document
# in: val - a float value for the bioavailability of the drug
# in: revwr - a string stating the reviewer of this evidence
# in: ev_base - an EvidenceBase drgect to store this evidence in
# in: ev_pickle_path - a string path to the pickle file for the evidence base
# in: dikb - a DIKB drgect
# out: 1 if error, 0 otherwise"""
# if not dikb.drgects.has_key(drg):
# print(" ".join(["addBioavail - Error: drgect name ", drg, "does not exist in dikb; spelling correct?. EXITING! Values - ",
# "drug: ", drg, "evidence pointer: ", pntr, "evidence type: ", et]))
# return 1
# a1 = Assertion(drg,'bioavailability','continuous_value')
# e1 = EvidenceContinousVal()
# e1.doc_pointer = pntr
# e1.quote = quote
# e1.evidence_type.putEntry(et)
# e1.value = val
# e1.reviewer.putEntry(revwr)
# a1.evidence_for.append(e1)
# lst_len = len(dikb.drgects[drg].bioavailability.evidence)
# ev_base.addAssertion(a1)
# if len(dikb.drgects[drg].bioavailability.evidence) == lst_len:
# print(" ".join(["addBioavail - Error: evidence for bioavailability did not get assigned. Values - ",
# "drug: ", drg, "evidence pointer: ", pntr, "evidence type: ", et]))
# try:
# ev.pickleKB(ev_pickle_path)
# print(" ".join(["addBioavail - Message: evidence for bioavailability added and stored in pickle. Values - ",
# "drug: ", drg, "evidence pointer: ", pntr, "evidence type: ", et]))
# except IOError, err:
# print(" ".join(["addBioavail - Error: evidence for bioavailability added but NOT STORED in pickle. Values - ",
# "drug: ", drg, "evidence pointer: ", pntr, "evidence type: ", et]))
# return 0
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] | 2.738818 | 1,252 |
import pytest
from tartiflette import Resolver, create_engine
_SDL = """
type bobby {
c: String
}
type boby {
b: bobby!
}
type bob {
a: boby
}
type Query {
string1: String!
stringList: [String]
stringListNonNull: [String]!
nonNullStringList: [String!]
nonNullStringListNonNull: [String!]!
anObject: bob
}
"""
@Resolver("Query.string1", schema_name="test_empty_values")
@Resolver("Query.stringList", schema_name="test_empty_values")
@Resolver("Query.stringListNonNull", schema_name="test_empty_values")
@Resolver("Query.nonNullStringList", schema_name="test_empty_values")
@Resolver("Query.nonNullStringListNonNull", schema_name="test_empty_values")
@Resolver("bobby.c", schema_name="test_empty_values")
@Resolver("boby.b", schema_name="test_empty_values")
@Resolver("Query.anObject", schema_name="test_empty_values")
@Resolver("bob.a", schema_name="test_empty_values")
@pytest.fixture(scope="module")
@pytest.mark.parametrize(
"query,expected",
[
(
"""
query {
string1
}""",
{
"data": None,
"errors": [
{
"message": "Cannot return null for non-nullable field Query.string1.",
"path": ["string1"],
"locations": [{"column": 17, "line": 3}],
}
],
},
),
(
"""
query {
stringList
}
""",
{"data": {"stringList": None}},
),
(
"""
query {
nonNullStringList
}
""",
{"data": {"nonNullStringList": None}},
),
(
"""
query {
stringListNonNull
}
""",
{
"data": None,
"errors": [
{
"message": "Cannot return null for non-nullable field Query.stringListNonNull.",
"path": ["stringListNonNull"],
"locations": [{"line": 3, "column": 17}],
}
],
},
),
(
"""
query {
nonNullStringListNonNull
}
""",
{
"data": None,
"errors": [
{
"message": "Cannot return null for non-nullable field Query.nonNullStringListNonNull.",
"path": ["nonNullStringListNonNull"],
"locations": [{"line": 3, "column": 17}],
}
],
},
),
(
"""
query {
string1
stringList
nonNullStringList
stringListNonNull
nonNullStringListNonNull
}""",
{
"data": None,
"errors": [
{
"message": "Cannot return null for non-nullable field Query.string1.",
"path": ["string1"],
"locations": [{"line": 3, "column": 17}],
},
{
"message": "Cannot return null for non-nullable field Query.stringListNonNull.",
"path": ["stringListNonNull"],
"locations": [{"line": 6, "column": 17}],
},
{
"message": "Cannot return null for non-nullable field Query.nonNullStringListNonNull.",
"path": ["nonNullStringListNonNull"],
"locations": [{"line": 7, "column": 17}],
},
],
},
),
],
)
@pytest.mark.asyncio
@pytest.mark.asyncio
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9288,
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13,
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952,
198
] | 1.705357 | 2,352 |
# Test fairness of scheduler
try:
import uasyncio as asyncio
except ImportError:
try:
import asyncio
except ImportError:
print("SKIP")
raise SystemExit
asyncio.run(main())
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] | 2.420455 | 88 |
# Copyright 2019 Matthias Ring
# Machine Learning and Data Analytics Lab
# Friedrich-Alexander-University Erlangen-Nuremberg
#
# 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 matplotlib as mpl
mpl.use('Agg')
from django.shortcuts import render, get_object_or_404, redirect
from django.urls import reverse
import vfatserver.consts as consts
import vfatserver.util as util
from .util import plot_visual_field, plot_curve
from .models import EquidistantAssessment, OctopusG1Assessment
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# Turtles in space
import turtle
sky = turtle.Screen()
sky.tracer(0)
sky.bgcolor('black')
rocket = turtle.Turtle()
rocket.speed(0)
rocket.color('green')
a = 10.0
b = 28.0
c = 8.0/3.0
x = y = z= 1.0e-1
#x = y = z= 1.0e-200
tic = 0.0
sky.ontimer(tictoc, 5)
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] | 2.096774 | 124 |
# Licensed under an MIT style license -- see LICENSE.md
import numpy as np
from pesummary.utils.utils import logger, iterator
from pesummary.utils.decorators import array_input
from .spins import chi_p
__author__ = ["Charlie Hoy <[email protected]>"]
try:
import lalsimulation
from lalsimulation import (
FLAG_SEOBNRv4P_HAMILTONIAN_DERIVATIVE_NUMERICAL,
FLAG_SEOBNRv4P_EULEREXT_QNM_SIMPLE_PRECESSION,
FLAG_SEOBNRv4P_ZFRAME_L
)
from lal import MSUN_SI
except ImportError:
pass
DEFAULT_SEOBFLAGS = {
"SEOBNRv4P_SpinAlignedEOBversion": 4,
"SEOBNRv4P_SymmetrizehPlminusm": 1,
"SEOBNRv4P_HamiltonianDerivative": FLAG_SEOBNRv4P_HAMILTONIAN_DERIVATIVE_NUMERICAL,
"SEOBNRv4P_euler_extension": FLAG_SEOBNRv4P_EULEREXT_QNM_SIMPLE_PRECESSION,
"SEOBNRv4P_Zframe": FLAG_SEOBNRv4P_ZFRAME_L,
"SEOBNRv4P_debug": 0
}
@array_input()
def final_mass_of_merger_from_NSBH(
mass_1, mass_2, spin_1z, lambda_2, approximant="IMRPhenomNSBH"
):
"""Calculate the final mass resulting from an NSBH merger using NSBH
waveform models given samples for mass_1, mass_2, spin_1z and lambda_2.
mass_1 and mass_2 should be in solar mass units.
"""
from .tidal import _check_NSBH_approximant
return _check_NSBH_approximant(
approximant, mass_1, mass_2, spin_1z, lambda_2
)[4]
@array_input()
def final_spin_of_merger_from_NSBH(
mass_1, mass_2, spin_1z, lambda_2, approximant="IMRPhenomNSBH"
):
"""Calculate the final spin resulting from an NSBH merger using NSBH
waveform models given samples for mass_1, mass_2, spin_1z and lambda_2.
mass_1 and mass_2 should be in solar mass units.
"""
from .tidal import _check_NSBH_approximant
return _check_NSBH_approximant(
approximant, mass_1, mass_2, spin_1z, lambda_2
)[5]
@array_input()
def _final_from_initial_NSBH(*args, **kwargs):
"""Calculate the final mass and final spin given the initial parameters
of the binary using the approximant directly
"""
return [
final_mass_of_merger_from_NSBH(*args, **kwargs),
final_spin_of_merger_from_NSBH(*args, **kwargs)
]
def _wrapper_return_final_mass_and_final_spin_from_waveform(args):
"""Wrapper function to calculate the remnant properties for a given waveform
for a pool of workers
Parameters
----------
args: np.ndarray
2 dimensional array giving arguments to pass to
_return_final_mass_and_final_spin_from_waveform. The first argument
in each sublist is the keyword and the second argument in each sublist
is the item you wish to pass
"""
kwargs = {arg[0]: arg[1] for arg in args}
return _return_final_mass_and_final_spin_from_waveform(**kwargs)
def _return_final_mass_and_final_spin_from_waveform(
mass_function=None, spin_function=None, mass_function_args=[],
spin_function_args=[], mass_function_return_function=None,
mass_function_return_index=None, spin_function_return_function=None,
spin_function_return_index=None, mass_1_index=0, mass_2_index=1,
nsamples=0, approximant=None, default_SEOBNRv4P_kwargs=False
):
"""Return the final mass and final spin given functions to use
Parameters
----------
mass_function: func
function you wish to use to calculate the final mass
spin_function: func
function you wish to use to calculate the final spin
mass_function_args: list
list of arguments you wish to pass to mass_function
spin_function_args: list
list of arguments you wish to pass to spin_function
mass_function_return_function: str, optional
function used to extract the final mass from the quantity returned from
mass_function. For example, if mass_function returns a list and the
final_mass is a property of the 3 arg of this list,
mass_function_return_function='[3].final_mass'
mass_function_return_index: str, optional
if mass_function returns a list of parameters,
mass_function_return_index indicates the index of `final_mass` in the
list
spin_function_return_function: str, optional
function used to extract the final spin from the quantity returned from
spin_function. For example, if spin_function returns a list and the
final_spin is a property of the 3 arg of this list,
spin_function_return_function='[3].final_spin'
spin_function_return_index: str, optional
if spin_function returns a list of parameters,
spin_function_return_index indicates the index of `final_spin` in the
list
mass_1_index: int, optional
the index of mass_1 in mass_function_args. Default is 0
mass_2_index: int, optional
the index of mass_2 in mass_function_args. Default is 1
nsamples: int, optional
the total number of samples
approximant: str, optional
the approximant used
default_SEOBNRv4P_kwargs: Bool, optional
if True, use the default SEOBNRv4P flags
"""
if default_SEOBNRv4P_kwargs:
mode_array, seob_flags = _setup_SEOBNRv4P_args()
mass_function_args += [mode_array, seob_flags]
spin_function_args += [mode_array, seob_flags]
fm = mass_function(*mass_function_args)
if mass_function_return_function is not None:
fm = eval("fm{}".format(mass_function_return_function))
elif mass_function_return_index is not None:
fm = fm[mass_function_return_index]
fs = spin_function(*spin_function_args)
if spin_function_return_function is not None:
fs = eval("fs{}".format(spin_function_return_function))
elif spin_function_return_index is not None:
fs = fs[spin_function_return_index]
final_mass = fm * (
mass_function_args[mass_1_index] + mass_function_args[mass_2_index]
) / MSUN_SI
final_spin = fs
return final_mass, final_spin
def _setup_SEOBNRv4P_args(mode=[2, 2], seob_flags=DEFAULT_SEOBFLAGS):
"""Setup the SEOBNRv4P[HM] kwargs
"""
from lalsimulation import (
SimInspiralCreateModeArray, SimInspiralModeArrayActivateMode
)
from lal import DictInsertINT4Value, CreateDict
mode_array = SimInspiralCreateModeArray()
SimInspiralModeArrayActivateMode(mode_array, mode[0], mode[1])
_seob_flags = CreateDict()
for key, item in seob_flags.items():
DictInsertINT4Value(_seob_flags, key, item)
return mode_array, _seob_flags
@array_input()
def _final_from_initial_BBH(
mass_1, mass_2, spin_1x, spin_1y, spin_1z, spin_2x, spin_2y, spin_2z,
approximant="SEOBNRv4", iota=None, luminosity_distance=None, f_ref=None,
phi_ref=None, mode=[2, 2], delta_t=1. / 4096, seob_flags=DEFAULT_SEOBFLAGS,
return_fits_used=False, multi_process=None
):
"""Calculate the final mass and final spin given the initial parameters
of the binary using the approximant directly
Parameters
----------
mass_1: float/np.ndarray
primary mass of the binary
mass_2: float/np.ndarray
secondary mass of the binary
spin_1x: float/np.ndarray
x component of the primary spin
spin_1y: float/np.ndarray
y component of the primary spin
spin_1z: float/np.ndarray
z component of the primary spin
spin_2x: float/np.ndarray
x component of the secondary spin
spin_2y: float/np.ndarray
y component of the secondary spin
spin_2z: float/np.ndarray
z component of the seconday spin
approximant: str
name of the approximant you wish to use for the remnant fits
iota: float/np.ndarray, optional
the angle between the total orbital angular momentum and the line of
sight of the source. Used when calculating the remnant fits for
SEOBNRv4PHM. Since we only need the EOB dynamics here it does not matter
what we pass
luminosity_distance: float/np.ndarray, optional
the luminosity distance of the source. Used when calculating the
remnant fits for SEOBNRv4PHM. Since we only need the EOB dynamics here
it does not matter what we pass.
f_ref: float/np.ndarray, optional
the reference frequency at which the spins are defined
phi_ref: float/np.ndarray, optional
the coalescence phase of the binary
mode: list, optional
specific mode to use when calculating the remnant fits for SEOBNRv4PHM.
Since we only need the EOB dynamics here it does not matter what we
pass.
delta_t: float, optional
the sampling rate used in the analysis, Used when calculating the
remnant fits for SEOBNRv4PHM
seob_flags: dict, optional
dictionary containing the SEOB flags. Used when calculating the remnant
fits for SEOBNRv4PHM
return_fits_used: Bool, optional
if True, return the approximant that was used.
multi_process: int, optional
the number of cores to use when calculating the remnant fits
"""
from lalsimulation import (
SimIMREOBFinalMassSpin, SimIMREOBFinalMassSpinPrec,
SimInspiralGetSpinSupportFromApproximant,
SimIMRSpinPrecEOBWaveformAll, SimPhenomUtilsIMRPhenomDFinalMass,
SimPhenomUtilsPhenomPv2FinalSpin
)
import multiprocessing
try:
approx = getattr(lalsimulation, approximant)
except AttributeError:
raise ValueError(
"The waveform '{}' is not supported by lalsimulation"
)
m1 = mass_1 * MSUN_SI
m2 = mass_2 * MSUN_SI
kwargs = {"nsamples": len(mass_1), "approximant": approximant}
if approximant.lower() in ["seobnrv4p", "seobnrv4phm"]:
if any(i is None for i in [iota, luminosity_distance, f_ref, phi_ref]):
raise ValueError(
"The approximant '{}' requires samples for iota, f_ref, "
"phi_ref and luminosity_distance. Please pass these "
"samples.".format(approximant)
)
if len(delta_t) == 1:
delta_t = [delta_t[0]] * len(mass_1)
elif len(delta_t) != len(mass_1):
raise ValueError(
"Please provide either a single 'delta_t' that is is used for "
"all samples, or a single 'delta_t' for each sample"
)
mode_array, _seob_flags = _setup_SEOBNRv4P_args(
mode=mode, seob_flags=seob_flags
)
args = np.array([
phi_ref, delta_t, m1, m2, f_ref, luminosity_distance, iota,
spin_1x, spin_1y, spin_1z, spin_2x, spin_2y, spin_2z,
[mode_array] * len(mass_1), [_seob_flags] * len(mass_1)
])
kwargs.update(
{
"mass_function": SimIMRSpinPrecEOBWaveformAll,
"spin_function": SimIMRSpinPrecEOBWaveformAll,
"mass_function_args": args,
"spin_function_args": args,
"mass_function_return_function": "[21].data[6]",
"spin_function_return_function": "[21].data[7]",
"mass_1_index": 2,
"mass_2_index": 3,
}
)
elif approximant.lower() in ["seobnrv4"]:
spin1 = np.array([spin_1x, spin_1y, spin_1z]).T
spin2 = np.array([spin_2x, spin_2y, spin_2z]).T
app = np.array([approx] * len(mass_1))
kwargs.update(
{
"mass_function": SimIMREOBFinalMassSpin,
"spin_function": SimIMREOBFinalMassSpin,
"mass_function_args": [m1, m2, spin1, spin2, app],
"spin_function_args": [m1, m2, spin1, spin2, app],
"mass_function_return_index": 1,
"spin_function_return_index": 2
}
)
elif "phenompv3" in approximant.lower():
kwargs.update(
{
"mass_function": SimPhenomUtilsIMRPhenomDFinalMass,
"spin_function": SimPhenomUtilsPhenomPv2FinalSpin,
"mass_function_args": [m1, m2, spin_1z, spin_2z],
"spin_function_args": [m1, m2, spin_1z, spin_2z]
}
)
if SimInspiralGetSpinSupportFromApproximant(approx) > 2:
# matches the waveform's internal usage as corrected in
# https://git.ligo.org/lscsoft/lalsuite/-/merge_requests/1270
_chi_p = chi_p(mass_1, mass_2, spin_1x, spin_1y, spin_2x, spin_2y)
kwargs["spin_function_args"].append(_chi_p)
else:
kwargs["spin_function_args"].append(np.zeros_like(mass_1))
else:
raise ValueError(
"The waveform '{}' is not support by this function.".format(
approximant
)
)
args = convert_args_for_multi_processing(kwargs)
if multi_process is not None and multi_process[0] != 1:
_multi_process = multi_process[0]
if approximant.lower() in ["seobnrv4p", "seobnrv4phm"]:
logger.warning(
"Ignoring passed 'mode' and 'seob_flags' options. Defaults "
"must be used with multiprocessing. If you wish to use custom "
"options, please set `multi_process=None`"
)
_kwargs = kwargs.copy()
_kwargs["mass_function_args"] = kwargs["mass_function_args"][:-2]
_kwargs["spin_function_args"] = kwargs["spin_function_args"][:-2]
_kwargs["default_SEOBNRv4P_kwargs"] = True
args = convert_args_for_multi_processing(_kwargs)
with multiprocessing.Pool(_multi_process) as pool:
data = np.array(list(
iterator(
pool.imap(
_wrapper_return_final_mass_and_final_spin_from_waveform,
args
), tqdm=True, desc="Evaluating {} fit".format(approximant),
logger=logger, total=len(mass_1)
)
)).T
else:
final_mass, final_spin = [], []
_iterator = iterator(
range(kwargs["nsamples"]), tqdm=True, total=len(mass_1),
desc="Evaluating {} fit".format(approximant), logger=logger
)
for i in _iterator:
data = _wrapper_return_final_mass_and_final_spin_from_waveform(
args[i]
)
final_mass.append(data[0])
final_spin.append(data[1])
data = [final_mass, final_spin]
if return_fits_used:
return data, [approximant]
return data
def final_remnant_properties_from_NRSurrogate(
*args, f_low=20., f_ref=20., model="NRSur7dq4Remnant", return_fits_used=False,
properties=["final_mass", "final_spin", "final_kick"], approximant="SEOBNRv4PHM"
):
"""Return the properties of the final remnant resulting from a BBH merger using
NRSurrogate fits
Parameters
---------
f_low: float/np.ndarray
The low frequency cut-off used in the analysis. Default is 20Hz
f_ref: float/np.ndarray
The reference frequency used in the analysis. Default is 20Hz
model: str, optional
The name of the NRSurrogate model you wish to use
return_fits_used: Bool, optional
if True, return the approximant that was used.
properties: list, optional
The list of properties you wish to calculate
approximant: str, optional
The approximant that was used to generate the posterior samples
"""
from .nrutils import NRSur_fit
fit = NRSur_fit(
*args, f_low=f_low, f_ref=f_ref, model=model, fits=properties,
approximant=approximant
)
if return_fits_used:
return fit, [model]
return fit
def final_mass_of_merger_from_NR(
*args, NRfit="average", final_spin=None, return_fits_used=False
):
"""Return the final mass resulting from a BBH merger using NR fits
Parameters
----------
NRfit: str
Name of the fit you wish to use. If you wish to use a precessing fit
please use the syntax 'precessing_{}'.format(fit_name). If you wish
to have an average NR fit, then pass 'average'
final_spin: float/np.ndarray, optional
precomputed final spin of the remnant.
return_fits_used: Bool, optional
if True, return the fits that were used. Only used when NRfit='average'
"""
from pesummary.gw.conversions import nrutils
if NRfit.lower() == "average":
func = getattr(nrutils, "bbh_final_mass_average")
elif "panetal" in NRfit.lower():
func = getattr(
nrutils, "bbh_final_mass_non_spinning_Panetal"
)
else:
func = getattr(
nrutils, "bbh_final_mass_non_precessing_{}".format(NRfit)
)
if "healy" in NRfit.lower():
return func(*args, final_spin=final_spin)
if NRfit.lower() == "average":
return func(*args, return_fits_used=return_fits_used)
return func(*args)
def final_mass_of_merger_from_NRSurrogate(
*args, model="NRSur7dq4Remnant", return_fits_used=False, approximant="SEOBNRv4PHM"
):
"""Return the final mass resulting from a BBH merger using NRSurrogate
fits
"""
data = final_remnant_properties_from_NRSurrogate(
*args, model=model, properties=["final_mass"],
return_fits_used=return_fits_used,
approximant=approximant
)
if return_fits_used:
return data[0]["final_mass"], data[1]
return data["final_mass"]
def final_mass_of_merger_from_waveform(*args, NSBH=False, **kwargs):
"""Return the final mass resulting from a BBH/NSBH merger using a given
approximant
Parameters
----------
NSBH: Bool, optional
if True, use NSBH waveform fits. Default False
"""
if NSBH or "nsbh" in kwargs.get("approximant", "").lower():
return _final_from_initial_NSBH(*args, **kwargs)[1]
return _final_from_initial_BBH(*args, **kwargs)[0]
def final_spin_of_merger_from_NR(
*args, NRfit="average", return_fits_used=False
):
"""Return the final spin resulting from a BBH merger using NR fits
Parameters
----------
NRfit: str
Name of the fit you wish to use. If you wish to use a precessing fit
please use the syntax 'precessing_{}'.format(fit_name). If you wish
to have an average NR fit, then pass 'average'
return_fits_used: Bool, optional
if True, return the fits that were used. Only used when NRfit='average'
"""
from pesummary.gw.conversions import nrutils
if NRfit.lower() == "average":
func = getattr(nrutils, "bbh_final_spin_average_precessing")
elif "pan" in NRfit.lower():
func = getattr(
nrutils, "bbh_final_spin_non_spinning_Panetal"
)
elif "precessing" in NRfit.lower():
func = getattr(
nrutils, "bbh_final_spin_precessing_{}".format(
NRfit.split("precessing_")[1]
)
)
else:
func = getattr(
nrutils, "bbh_final_spin_non_precessing_{}".format(NRfit)
)
if NRfit.lower() == "average":
return func(*args, return_fits_used=return_fits_used)
return func(*args)
def final_spin_of_merger_from_NRSurrogate(
*args, model="NRSur7dq4Remnant", return_fits_used=False, approximant="SEOBNRv4PHM"
):
"""Return the final spin resulting from a BBH merger using NRSurrogate
fits
"""
data = final_remnant_properties_from_NRSurrogate(
*args, model=model, properties=["final_spin"],
return_fits_used=return_fits_used, approximant=approximant
)
if return_fits_used:
return data[0]["final_spin"], data[1]
return data["final_spin"]
def final_spin_of_merger_from_waveform(*args, NSBH=False, **kwargs):
"""Return the final spin resulting from a BBH/NSBH merger using a given
approximant.
Parameters
----------
NSBH: Bool, optional
if True, use NSBH waveform fits. Default False
"""
if NSBH or "nsbh" in kwargs.get("approximant", "").lower():
return _final_from_initial_NSBH(*args, **kwargs)[1]
return _final_from_initial_BBH(*args, **kwargs)[1]
def final_kick_of_merger_from_NRSurrogate(
*args, model="NRSur7dq4Remnant", return_fits_used=False, approximant="SEOBNRv4PHM"
):
"""Return the final kick of the remnant resulting from a BBH merger
using NRSurrogate fits
"""
data = final_remnant_properties_from_NRSurrogate(
*args, model=model, properties=["final_kick"],
return_fits_used=return_fits_used, approximant=approximant
)
if return_fits_used:
return data[0]["final_kick"], data[1]
return data["final_kick"]
def final_mass_of_merger(
*args, method="NR", approximant="SEOBNRv4", NRfit="average",
final_spin=None, return_fits_used=False, model="NRSur7dq4Remnant"
):
"""Return the final mass resulting from a BBH merger
Parameters
----------
mass_1: float/np.ndarray
float/array of masses for the primary object
mass_2: float/np.ndarray
float/array of masses for the secondary object
spin_1z: float/np.ndarray
float/array of primary spin aligned with the orbital angular momentum
spin_2z: float/np.ndarray
float/array of secondary spin aligned with the orbital angular momentum
method: str
The method you wish to use to calculate the final mass of merger. Either
NR, NRSurrogate or waveform
approximant: str
Name of the approximant you wish to use if the chosen method is waveform
or NRSurrogate
NRFit: str
Name of the NR fit you wish to use if chosen method is NR
return_fits_used: Bool, optional
if True, return the NR fits that were used. Only used when
NRFit='average' or when method='NRSurrogate'
model: str, optional
The NRSurrogate model to use when evaluating the fits
"""
if method.lower() == "nr":
mass_func = final_mass_of_merger_from_NR
kwargs = {
"NRfit": NRfit, "final_spin": final_spin,
"return_fits_used": return_fits_used
}
elif "nrsur" in method.lower():
mass_func = final_mass_of_merger_from_NRSurrogate
kwargs = {
"approximant": approximant, "return_fits_used": return_fits_used,
"model": model
}
else:
mass_func = final_mass_of_merger_from_waveform
kwargs = {"approximant": approximant}
return mass_func(*args, **kwargs)
def final_spin_of_merger(
*args, method="NR", approximant="SEOBNRv4", NRfit="average",
return_fits_used=False, model="NRSur7dq4Remnant"
):
"""Return the final mass resulting from a BBH merger
Parameters
----------
mass_1: float/np.ndarray
float/array of masses for the primary object
mass_2: float/np.ndarray
float/array of masses for the secondary object
a_1: float/np.ndarray
float/array of primary spin magnitudes
a_2: float/np.ndarray
float/array of secondary spin magnitudes
tilt_1: float/np.ndarray
float/array of primary spin tilt angle from the orbital angular momentum
tilt_2: float/np.ndarray
float/array of secondary spin tilt angle from the orbital angular
momentum
phi_12: float/np.ndarray
float/array of samples for the angle between the in-plane spin
components
method: str
The method you wish to use to calculate the final mass of merger. Either
NR, NRSurrogate or waveform
approximant: str
Name of the approximant you wish to use if the chosen method is waveform
or NRSurrogate
NRFit: str
Name of the NR fit you wish to use if chosen method is NR
return_fits_used: Bool, optional
if True, return the NR fits that were used. Only used when
NRFit='average' or when method='NRSurrogate'
model: str, optional
The NRSurrogate model to use when evaluating the fits
"""
if method.lower() == "nr":
spin_func = final_spin_of_merger_from_NR
kwargs = {"NRfit": NRfit, "return_fits_used": return_fits_used}
elif "nrsur" in method.lower():
spin_func = final_spin_of_merger_from_NRSurrogate
kwargs = {
"approximant": approximant, "return_fits_used": return_fits_used,
"model": model
}
else:
spin_func = final_spin_of_merger_from_waveform
kwargs = {"approximant": approximant}
return spin_func(*args, **kwargs)
def final_kick_of_merger(
*args, method="NR", approximant="SEOBNRv4", NRfit="average",
return_fits_used: False, model="NRSur7dq4Remnant"
):
"""Return the final kick velocity of the remnant resulting from a BBH merger
Parameters
----------
mass_1: float/np.ndarray
float/array of masses for the primary object
mass_2: float/np.ndarray
float/array of masses for the secondary object
a_1: float/np.ndarray
float/array of primary spin magnitudes
a_2: float/np.ndarray
float/array of secondary spin magnitudes
tilt_1: float/np.ndarray
float/array of primary spin tilt angle from the orbital angular momentum
tilt_2: float/np.ndarray
float/array of secondary spin tilt angle from the orbital angular
momentum
phi_12: float/np.ndarray
float/array of samples for the angle between the in-plane spin
components
method: str
The method you wish to use to calculate the final kick of merger. Either
NR, NRSurrogate or waveform
approximant: str
Name of the approximant you wish to use if the chosen method is waveform
or NRSurrogate
NRFit: str
Name of the NR fit you wish to use if chosen method is NR
return_fits_used: Bool, optional
if True, return the NR fits that were used. Only used when
NRFit='average' or when method='NRSurrogate'
model: str, optional
The NRSurrogate model to use when evaluating the fits
"""
if "nrsur" not in method.lower():
raise NotImplementedError(
"Currently you can only work out the final kick velocity using "
"NRSurrogate fits."
)
velocity_func = final_kick_of_merger_from_NRSurrogate
kwargs = {
"approximant": approximant, "return_fits_used": return_fits_used,
"model": model
}
return velocity_func(*args, **kwargs)
def peak_luminosity_of_merger(*args, NRfit="average", return_fits_used=False):
"""Return the peak luminosity of an aligned-spin BBH using NR fits
Parameters
----------
mass_1: float/np.ndarray
float/array of masses for the primary object
mass_2: float/np.ndarray
float/array of masses for the secondary object
spin_1z: float/np.ndarray
float/array of primary spin aligned with the orbital angular momentum
spin_2z: float/np.ndarray
float/array of secondary spin aligned with the orbital angular momentum
NRFit: str
Name of the NR fit you wish to use if chosen method is NR
return_fits_used: Bool, optional
if True, return the NR fits that were used. Only used when
NRFit='average'
"""
from pesummary.gw.conversions import nrutils
if NRfit.lower() == "average":
func = getattr(nrutils, "bbh_peak_luminosity_average")
else:
func = getattr(
nrutils, "bbh_peak_luminosity_non_precessing_{}".format(NRfit)
)
if NRfit.lower() == "average":
return func(*args, return_fits_used=return_fits_used)
return func(*args)
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] | 2.361624 | 11,653 |
# PA Well Permit Scraper
import re
from datetime import datetime, timedelta
import xlrd
#import uuid
from string import Template
from xml.sax.saxutils import escape
from dateutil.parser import parse as parse_date
from scrapy.spider import BaseSpider
from scrapy.contrib.loader import ItemLoader
from scrapy.http import Request, Response, TextResponse
from scrapy.contrib.loader.processor import TakeFirst, MapCompose, Join
from scrapy.shell import inspect_response
from scrapy import log
#from scrapy.stats import stats
from nrc.items import PA_DrillingPermit, FeedEntry, FeedEntryTag
from nrc.database import NrcDatabase
from nrc.NrcBot import NrcBot
from nrc.AtomPubScraper import AtomPubScraper
| [
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] | 3.51 | 200 |
from bitcoinaddress import Wallet
import os
from multiprocessing import Process
import argparse
import sys
import signal
# Set the signal handler
signal.signal(signal.SIGINT, handler)
parser = argparse.ArgumentParser()
parser.add_argument("-o", "--output", action='store', dest='output', help="Results will write this file.")
parser.add_argument("-p", "--maxprocess", action='store', dest='maxprocess', help="Maximum process. Default 5")
parser.add_argument("-i", "--input", action='store', dest='input', help="Select input address file")
args = parser.parse_args()
inputFileName = ""
outputFileName = ""
maximumProcess = 5
if args.input:
inputFileName = args.input
else:
sys.exit("Please select input file with -i addresses.txt")
if args.output:
outputFileName = args.output
else:
sys.exit("Please select output file with -o results.txt")
if args.maxprocess:
maximumProcess = int(args.maxprocess)
global addressArray
addressArray = {}
if __name__ == "__main__":
read.readFromText()
processes = [Process(target=cm.multitask, args=(0,))]
i = 0
while i < maximumProcess:
processes.append(Process(target=cm.multitask, args=((i+1),)))
i+=1
for process in processes:
process.start()
for process in processes:
process.join()
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] | 2.683495 | 515 |
import django
from django.conf import settings
from django.db import transaction
from django.contrib.auth import get_user_model
django.setup()
from billing.models import Account, Payment
from billing.utils import complete_payment
USER = get_user_model()
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] | 3.611111 | 72 |
"""Vistas de miembros del círculo"""
# Django REST Framework
from rest_framework import mixins, viewsets, status
from rest_framework.generics import get_object_or_404
from rest_framework.decorators import action
from rest_framework.response import Response
# Models
from cride.circles.models import Circle, Membership, Invitation
# Permissions
from rest_framework.permissions import IsAuthenticated
from cride.circles.permissions.memberships import IsActiveCircleMember, IsSelfMember
# Serializers
from cride.circles.serializers import MembershipModelSerializer, AddMemberSerializer
class MembershipViewSet(
mixins.ListModelMixin,
mixins.CreateModelMixin,
mixins.RetrieveModelMixin,
mixins.DestroyModelMixin,
viewsets.GenericViewSet
):
"""Conjunto de vistas de miembros de círculo."""
serializer_class = MembershipModelSerializer
def dispatch(self, request, *args, **kwargs):
"""Verifica que exista el circulo."""
slug_name = kwargs['slug_name'] # Es el nombre de la llave que mandamos en la url
# Creamos una nueva variable para obtener el circulo requerido
self.circle = get_object_or_404(
Circle,
slug_name=slug_name
) # Esto es equivalente a usar:
# try: Circle.objects.get(slug_name=slug_name)
# exception: Circle.DoesNotExist:
# Http404("<algun mensaje>") # Con la diferencia de que con este metodo podremos personalizar el
# raise que se envia.
return super(MembershipViewSet, self).dispatch(request, *args, **kwargs) # Dejamos que se ejecute en
# metodo dispath por defecto y lo retornamos ambos.
# Ahora cada que se ejecute esta clase que sea instanciada hara primeramente la verificacion del
# circulo
def get_permissions(self):
"""Asigna permisos basados en la accion"""
permissions = [IsAuthenticated]
if self.action != 'create':
permissions.append(IsActiveCircleMember)
if self.action == 'invitations':
permissions.append(IsSelfMember)
return [p() for p in permissions]
def get_queryset(self):
"""Returna los miembros del circulo"""
return Membership.objects.filter(
circle=self.circle,
is_active=True
)
def get_object(self):
"""Retorna el miembro del círculo utilizando el nombre de usuario del usuario"""
return get_object_or_404(
Membership,
user__username=self.kwargs['pk'], # Obtenemos el valor de username atravez de la url que enviemos
# desde un cliente la llave es pk por que para mixin se obtiene un objeto con identificado,
# pero como el username tambien funciona como indentificador, lo cambiamos, pero el el nombre
# de la llave es la misma
circle=self.circle,
is_active=True
)
def perform_destroy(self, instance):
"""Desabilita la membresia"""
instance.is_active = False # En vez de eliminar al miembro simplemente colocamos el campo is_active a
# False para que las demas vistas esten bloqueeadas por no tener el permiso.
instance.save()
@action(detail=True, methods=['get'])
def invitations(self, request, *args, **kwargs):
"""Recuperar el desglose de invitaciones de un miembro
Devolverá una lista que contiene todos los miembros
que han usado sus invitaciones y otra lista que contiene
las invitaciones que aún no se han usado.
"""
member = self.get_object() # Obtenemos el objeto de detalle (el miembro)
invited_members = Membership.objects.filter(
circle=self.circle,
invited_by=request.user,
is_active=True
) # Trae a los miembro que fueron invitados por el usuario colocado en la url
unsed_invitations = Invitation.objects.filter(
circle=self.circle,
issued_by=request.user,
used=False,
).values_list('code') # Invitaciones no utilizadas.Colocamos values_list('code') para que nos lista
# solo los valores de codigo. Esta lista es un poco rara.
diff = member.remaining_invitations-len(unsed_invitations) # Sacamos la difencia del numero
# invitaciones que le quedan por usar, contra las invitaciones que envio pero no son usadas.
# Esto es para generar el codigo de invitaciones. por que por defecto seran el numero maximo.
invitations = [x[0] for x in unsed_invitations] # La lista que nos devolvia el unsed_invitations tenian
# de elementos tuplas. Pero no nosotros solo queremos los codigos, entonces recoremos la lista y la
# llenamos en otra pero con los los elemento de la tupla.
for i in range(0, diff): # recorre el for mietras diff sea mayor a cero. En otras palabras si ya
# gasto todas sus invitaciones restantes y tiene las invitaciones no son usadas no entrara al for.
invitations.append(
Invitation.objects.create(
issued_by=request.user,
circle=self.circle
).code # Solo devolvemos el codigo para que se pueda agregar a la lista de strings.
)
# Este for solo se activara cuando la primera vez que consulte, y cuando se le aumenten un numero
# de ivitaciones.
data = {
'used_invitations': MembershipModelSerializer(invited_members, many=True).data,
'invitations': invitations
}
return Response(data)
def create(self, request, *args, **kwargs):
"""Maneja la creación de miembros desde el código de invitación."""
serializer = AddMemberSerializer(
data=request.data, # Cambiamos los datos recibidos(Json) a un diccionario
context={'circle': self.circle, 'request': request} # Los serializers tambien pueden recibir otros
# datos ademas de la data, para esto usamos la variable context, mandamos request para que el
# serializer pueda saber el usuario de la peticion.
)
serializer.is_valid(raise_exception=True)
member = serializer.save()
data = self.get_serializer(member).data # No usamos el serializer AddMemberSerializer. Si no el
# serializador que se coloco en la variable serializer_class puesto que ya esta personalizado para
# mostrar con mas detalle
return Response(data, status=status.HTTP_201_CREATED)
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3722,
28,
13376,
13,
40717,
62,
1264,
62,
43387,
11617,
8,
198
] | 2.436709 | 2,686 |
import json
import os
from ..util import cast, datetime_to_json
class Backend:
"""
base class for metadir backends.
currently only local filesystem backend implemented.
"""
def get_base_path(self):
"""return a base path to a local file dir or a cloud bucket"""
raise NotImplementedError
def get_path(self, path):
"""return absolute filesystem path or cloud bucket for `path"""
return os.path.join(self.base_path, path)
def exists(self, path):
"""check if given path exists and return boolean"""
raise NotImplementedError
def save(self, path, content):
"""
store `content` in path and return absolute path to stored file or
cloud blob location
"""
raise NotImplementedError
def load(self, path):
"""
return content as string for given path, use the same not found
exception for all storages:
"""
if not self.exists(path):
raise FileNotFoundError(f"Path `{path}` not found in storage `{self}`")
return self._load(path)
def _load(self, path):
"""actual implementation for specific storage"""
raise NotImplementedError
def set_value(self, path, value):
"""simply store values to a path location"""
self.save(path, value)
return value
def get_value(self, path, transform=lambda x: cast(x, with_date=True)):
"""simply get values from a path location"""
if not self.exists(path):
return
content = self.load(path)
return transform(content)
def get_children(self, path=".", condition=lambda x: True):
"""list all children under given path that match condition"""
raise NotImplementedError
def delete(self, path=""):
"""delete everything from path"""
raise NotImplementedError
| [
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220,
220,
220,
220,
5298,
1892,
3546,
1154,
12061,
12331,
198
] | 2.638889 | 720 |
import math
from decimal import Decimal
# Used for rotations:
# https://stackoverflow.com/questions/34372480/rotate-point-about-another-point-in-degrees-python/34374437#34374437
# Accessed November 17, 2017
class Post:
"""A post"""
def displayString(self):
"""Return this item as it would be displayed to the user"""
string = self._displayString()
if self.isRemoval:
return string + " (Removal)"
return string
def _displayString(self):
"""Return this item as it would be displayed to the user"""
if self.postType == "cornerPost":
return "Corner Post"
if self.postType == "endPost":
return "End Post"
if self.postType == "tPost":
return "T Post"
if self.postType == "gatePost":
return "Gate Post"
print("Warning: unknown post type")
return str(self)
@property
class FencingEntity:
"""A fencing entity (fence segment or gate)"""
def displayString(self):
"""Return this item as it would be displayed to the user"""
if self._entityType == "fence":
string = "Fence"
elif self._entityType == "gate":
string = "Gate"
else:
print("Warning: unknown fencing attribute type")
return str(self)
if self._isDouble:
string = "Double " + string
string = self.lengthString() + " " + string
if self._isRemoval:
string += " (Removal)"
return string
@property
@property
@property
@property
@property
@property
@property
@property | [
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31,
26745,
198,
197,
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197,
31,
26745
] | 2.697026 | 538 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
File: source/module/memory_helper.py
"""
import torch
import torch.nn as nn
| [
2,
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from datetime import timedelta
from .base import *
SECRET_KEY = ''
DEBUG = True
ALLOWED_HOSTS = '*'
INSTALLED_APPS += [
'drf_yasg'
]
INTERNAL_IPS = ['127.0.0.1', ] # required for drf_yasg
REST_FRAMEWORK['DEFAULT_AUTHENTICATION_CLASSES'] = ['rest_framework.authentication.SessionAuthentication'] + \
REST_FRAMEWORK['DEFAULT_AUTHENTICATION_CLASSES']
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql',
'NAME': '',
'USER': '',
'PASSWORD': '',
'HOST': '127.0.0.1',
'PORT': '5432',
}
}
# Static
STATIC_URL = '/static/'
MEDIA_ROOT = os.path.join(BASE_DIR, 'media')
MEDIA_URL = '/media/'
# to make development easy
TIME_ZONE = 'UTC'
EMAIL_BACKEND = 'django.core.mail.backends.smtp.EmailBackend'
EMAIL_HOST = ''
EMAIL_HOST_USER = ''
EMAIL_HOST_PASSWORD = ''
EMAIL_PORT = ''
FROM_MAIL = ''
DEFAULT_FROM_EMAIL = ''
EMAIL_USE_TLS = True
TOKEN_TIMEOUT_DAYS = 2
if DEBUG is False:
REST_FRAMEWORK = {
'DEFAULT_RENDERER_CLASSES': (
'rest_framework.renderers.JSONRenderer',
)
}
# SIMPLE JWT
SIMPLE_JWT = {
'ACCESS_TOKEN_LIFETIME': timedelta(hours=7),
'REFRESH_TOKEN_LIFETIME': timedelta(days=1),
'ROTATE_REFRESH_TOKENS': False,
'BLACKLIST_AFTER_ROTATION': True,
'ALGORITHM': 'HS256',
'SIGNING_KEY': SECRET_KEY,
'VERIFYING_KEY': None,
'AUDIENCE': None,
'ISSUER': None,
'AUTH_HEADER_TYPES': ('Bearer',),
'USER_ID_FIELD': 'id',
'USER_ID_CLAIM': 'user_id',
'AUTH_TOKEN_CLASSES': ('rest_framework_simplejwt.tokens.AccessToken',),
'TOKEN_TYPE_CLAIM': 'token_type',
'JTI_CLAIM': 'jti',
}
# Security (SSL)
SESSION_COOKIE_SECURE = True
SECURE_HSTS_SECONDS = 63072000 # 2 years
SECURE_HSTS_INCLUDE_SUBDOMAINS = True
SECURE_HSTS_PRELOAD = True
SECURE_PROXY_SSL_HEADER = ('HTTP_X_FORWARDED_PROTO', 'https')
SECURE_BROWSER_XSS_FILTER = True
SECURE_CONTENT_TYPE_NOSNIFF = True
SECURE_SSL_REDIRECT = True
SECURE_REFERRER_POLICY = 'same-origin'
CSRF_COOKIE_SECURE = True
# Other secure headers
USE_X_FORWARDED_HOST = True
X_FRAME_OPTIONS = 'DENY'
# Token expiry in seconds
PASSWORD_RESET_TIMEOUT = 432000 # 4 days
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62,
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12425,
796,
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830,
220,
1303,
604,
1528,
198
] | 2.078285 | 1,073 |
from django.contrib.auth.forms import UserCreationForm
from .models import User
from django import forms
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] | 3.785714 | 28 |
#!/usr/bin/python
#
# Copyright (c) SAS Institute 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.
#
import os
from conary.lib import coveragehook
from catalogService.utils import logger as rlogging
from restlib.http import modpython
from mint import config
from mint.db.database import Database
from catalogService.handler import getHandler
from catalogService.rest.database import RestDatabase
def handler(req):
"""
The presence of this function in the module allows it to be added directly
into apache as a mod_python handler.
The function is for testing purposes only.
"""
coveragehook.install()
mintCfgPath = os.path.join(req.document_root(), '..', '..', 'mint.conf')
mintcfg = config.getConfig(mintCfgPath)
mintdb = Database(mintcfg)
restdb = RestDatabase(mintcfg, mintdb)
topLevel = os.path.join(mintcfg.basePath)
_handler = ApacheRESTHandler(topLevel, restdb)
return _handler.handle(req)
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7,
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8,
198,
220,
220,
220,
1441,
4808,
30281,
13,
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7,
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8,
198
] | 3.366359 | 434 |
import datetime
from udaru_anomaly_detection.trail.insert import trail_insert
from udaru_anomaly_detection.tests.generator import generate_resource
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] | 3.282609 | 46 |
from src import detect_faces, show_bboxes
from PIL import Image
import os
os.environ["CUDA_VISIBLE_DEVICES"] = '1'
img_path = '/net/deepfake-defense/datasets/CelebA/img/img_celeba/'
pert_path = '/net/deepfake-defense/datasets/CelebA/img/MTCNN_ifgsm/'
result_f = open('/home/zhujunxiao/protect_face_identity/face_image_protection/MTCNN/mtcnn-pytorch/results/MTCNN_detection_result_celeba.csv', 'w')
result_f.write('image, detected bounding box, detected boundingbox(after perturbation)\n')
for img_index in range(1, 2001):
img_filename = format(img_index, '06d') + '.jpg'
print(img_filename)
img = Image.open(img_path + img_filename)
img = img.resize((224, 224))
bounding_boxes, landmarks = detect_faces(img)
bounding_box_str = []
for box in bounding_boxes:
bounding_box_str.append(' '.join([str(x) for x in box]))
# for i in range(len(bounding_boxes)):
# result_f.write(img_filename + ',' + ' '.join([str(x) for x in bounding_boxes[i]]))
# result_f.write(',' + ' '.join([str(x) for x in landmarks[i]]) + '\n')
pert_img = pert_path + img_filename
img = Image.open(pert_img)
img = img.resize((224, 224))
pert_bounding_boxes, _ = detect_faces(img)
pert_bounding_box_str = []
for box in pert_bounding_boxes:
pert_bounding_box_str.append(' '.join([str(x) for x in box]))
result_f.write(img_filename + ',')
result_f.write(';'.join([x for x in bounding_box_str]) + ',')
result_f.write(';'.join([x for x in pert_bounding_box_str]) + '\n')
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] | 2.407524 | 638 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 20 14:08:42 2019
@author: smrak
"""
import numpy as np
from cartomap import geogmap as gm
from datetime import datetime
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import apexpy as ap
latlim = [-0,60]
lonlim= [-140,0]
date = datetime(2017, 8, 21, 6)
fig = gm.plotCartoMap(projection='plate', title='Geomagnetic coordinates: MLAT/MLT',
latlim=latlim, lonlim=lonlim,
parallels = [0,10,20, 40, 60, 80, 90],
meridians = [-220, -180, -160,-140,-120,-100, -80,-60, -40, 0],
grid_linewidth=1,
figure=True,
states=False)
A = ap.Apex(date=date)
#glon = np.arange(lonlim[0]-40, lonlim[1] + 40.1, 1)
#glat = np.arange(latlim[0], latlim[1] + 0.1, 1)
#longrid, latgrid = np.meshgrid(glon, glat)
mlat_levels = np.arange(-90, 90.1, 10)
#mlat_levels = np.array([40,50,60,70])
# mlon
#mlat, mlon = A.convert(latgrid, longrid, 'geo', 'apex')
#mlon_levels = np.arange(-180,180,20)
# mlt
#mlat, mlon = A.convert(latgrid, longrid, 'geo', 'mlt', datetime=date)
mlon_levels = np.arange(0,24.2,2)
#ay = plt.contour(glon,glat, mlat, levels = mlat_levels, colors='red', transform=ccrs.PlateCarree())
#ax = plt.contour(glon,glat, mlon, levels = mlon_levels, colors='blue', linestyles ='solid', transform=ccrs.PlateCarree())
#ax.clabel(inline=True, fmt = '%d', fontsize=12, colors='blue')
#ay.clabel(inline=True, fmt = '%d', fontsize=12, colors='red')
# MLATS
mlat_range = np.arange(mlat_levels[0], mlat_levels[-1]+0.1, 0.1)
mlon_range = np.arange(mlon_levels[0], 24.3, 0.1)
for mlon in mlon_levels:
MLON = mlon * np.ones(mlat_range.size)
y, x = A.convert(mlat_range,MLON, 'mlt', 'geo', datetime=date)
if int(mlon) == 0:# or int(mlon) == 2:
continue
inmap = np.logical_and(x >= lonlim[0], x <= lonlim[1])
if np.sum(inmap) > 10:
plt.plot(np.unwrap(x,180), np.unwrap(y,90), 'b', lw=2, transform=ccrs.PlateCarree())
ix = abs(y-np.mean(latlim)).argmin()
mx = x[ix]-4
my = np.mean(latlim)
if np.logical_and(mx >= lonlim[0], mx <= lonlim[1]) and int(mlon) is not 0:
plt.text(mx, my, str(int(mlon)), color='k',
fontsize=14, backgroundcolor='white',transform=ccrs.PlateCarree())
for mlat in mlat_levels:
MLAT = mlat * np.ones(mlon_range.size)
gy,gx = A.convert(MLAT, mlon_range, 'mlt', 'geo', datetime=date)
inmap = np.logical_and(gy >= latlim[0], gy <= latlim[1])
if np.sum(inmap) > 10:
plt.plot(np.unwrap(gx, 180), np.unwrap(gy, 90), 'b', transform=ccrs.PlateCarree())
ix = abs(gx-np.mean(lonlim)).argmin()
mx = np.mean(lonlim)
my = gy[ix]-0.5
if np.logical_and(mx >= lonlim[0], mx <= lonlim[1]) and \
np.logical_and(my >= latlim[0], my <= latlim[1]):
ix = abs(gx-np.mean(lonlim)).argmin()
plt.text(mx, my, str(int(mlat)), color='k',
fontsize=14, backgroundcolor='white',transform=ccrs.PlateCarree())
#Functional
fig = gm.plotCartoMap(projection='plate',
title='Geomagnetic coordinates: MLAT/MLT',
latlim=latlim, lonlim=lonlim,
date=date,
#parallels = [0,10,20, 40, 60, 80, 90],
#meridians = [-220, -180, -160,-140,-120,-100, -80,-60, -40, 0],
grid_linewidth = 1,
figure = True,
states = False,
geomag = True,
gmagtype = 'apex',
mlon_cs = 'mlt',
mlon_levels = mlon_levels,
mlat_levels = mlat_levels,
mlon_colors='k',
mlat_colors='k',
mlat_labels=False) | [
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] | 1.874459 | 2,079 |
from agent.base_agent import BaseAgent
from functional.motion import get_foot_vel
import torch
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# This is an example VISAN script for the SCI_NL__1P product
# Make sure to set the 'products-file directory' option in the VISAN Preferences panel to
# a directory containing SCI_NL__1P products.
# This example will then take the first product it finds in this directory and
# for that product plot the measured limb spectra for the range 290nm - 450nm
run()
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from server import server
from app1 import app as app1
from app2 import app as app2
app1.enable_dev_tools(debug=True)
app2.enable_dev_tools(debug=True)
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# Copyright (c) 2019-2021, Felix Fontein <[email protected]>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import fcntl
import os
import os.path
import socket as pysocket
from ansible.module_utils.six import PY3
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] | 2.787402 | 127 |
#!/usr/bin/env conda-execute
# conda execute
# env:
# - python
# - click
# - jinja2
# - requests
# - ruamel.yaml
# - conda-smithy
# - pygithub
# - fuzzywuzzy
# channels:
# - conda-forge
# run_with: python
import click
import conda_smithy.feedstocks as feedstocks
import jinja2
import json
import requests
import ruamel.yaml
from ruamel.yaml.scanner import ScannerError
import os
from github import Github
import conda_smithy.github as smithy_github
from fuzzywuzzy import process
# patch over differences between PY2 and PY3
try:
text_type = unicode
except NameError:
text_type = str
env = jinja2.Environment(undefined=NullUndefined)
@click.group()
def cli():
"""Match package names in pr against existing feedstocks.
Tools to match package names in from all the recipes in a pr against
the existing conda-forge feedstocks.
"""
pass
@cli.command('build-feedstock-index', help='create json index of feedstocks.')
@click.argument('filename')
@click.option('--gh-org', default='conda-forge', help='Set Github organization name.')
def build_feedstock_index(filename, gh_org='conda-forge'):
"Iterate over feedstocks and return dict of pkg-name:feedstock"
pkg_index = {}
for repo in feedstocks.feedstock_repos(gh_org):
try:
meta = repo.get_file_contents(path='recipe/meta.yaml').decoded_content
pkg_name = _extract_package_name(meta)
except (AttributeError, KeyError, ScannerError) as err:
# unable to parse the bob.io.image-feedstock
print('Unable to parse meta.yaml for {}'.format(repo.url))
print('guessing pkg name from feedstock url')
print('Traceback: \n', err)
pkg_name = repo.url.split('/')[-1].split('-feedstock')[0].lower()
pkg_index[pkg_name] = repo.full_name
with open(filename, 'w') as f:
json.dump(pkg_index, f)
print('feedstocks index written to {}'.format(filename))
@cli.command('build-pr-index', help='create json index of pull requests.')
@click.argument('filename')
@click.option('--gh-org', default='conda-forge', help='Set Github organization name.')
@click.option('--staged-recipes-repo', default='staged-recipes', help='Set staged recipe repo.')
def build_pr_index(filename, gh_org='conda-forge', staged_recipes_repo='staged-recipes'):
"Iterate over open pull requests in staged_recipes and return dict of pr:pkg-name"
token = smithy_github.gh_token()
gh = Github(token)
org = gh.get_organization(gh_org)
repo = org.get_repo(staged_recipes_repo)
pkg_index = {}
for pr in list(repo.get_pulls()):
for f in pr.get_files():
if f.filename.lower().endswith('meta.yaml'):
try:
meta = requests.get(f.raw_url).content
pkg_name = _extract_package_name(meta)
idx = 'pr {} ({}) /{}'.format(pr.number, pkg_name, f.filename)
pkg_index[idx] = pkg_name
except (AttributeError, ScannerError) as err:
pkg_index[idx] = None
print('Unable to parse meta.yaml for pr #{}'.format(pr.number))
print('setting pkg_name to None')
print('Traceback: \n', err)
with open(filename, 'w') as f:
json.dump(pkg_index, f)
print('pull requests index written to {}'.format(filename))
@cli.command('compare-indices', help='compare pr index to feedstock index.')
@click.argument('pr-index')
@click.argument('feedstock-index')
@click.option('--threshold', default=85, help='only return matches with scores above threshold')
@click.option('--limit', default=2, help='maximum number of matches')
@cli.command('check-pr', help='check pr against feedstock index.')
@click.argument('pr', type=int)
@click.argument('feedstock-index')
@click.option('--threshold', default=85, help='only return matches with scores above threshold')
@click.option('--limit', default=2, help='maximum number of matches')
@click.option('--gh-org', default='conda-forge', help='Set Github organization name.')
@click.option('--staged-recipes-repo', default='staged-recipes', help='Set staged recipe repo.')
@cli.command('check-pkg', help='check pkg name against feedstock index.')
@click.argument('name')
@click.argument('feedstock-index')
@click.option('--threshold', default=85, help='only return matches with scores above threshold')
@click.option('--limit', default=2, help='maximum number of matches')
def _extract_package_name(meta):
"""Extract package name from meta.yaml"""
content = env.from_string(meta.decode('utf8')).render(os=os)
meta = ruamel.yaml.load(content, ruamel.yaml.RoundTripLoader)
return meta['package']['name'].lower()
if __name__ == '__main__':
cli()
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] | 2.581545 | 1,864 |
from flask import Blueprint, render_template, session, redirect, url_for
from flask_wtf import FlaskForm
from wtforms import SelectField
from application.mod_collage.photoManip import generateCollage
from application.mod_auth.models import Landmark
mod_collage = Blueprint('collage', __name__, url_prefix='/collage')
# Represents the collage form
@mod_collage.route('/get/', methods=['GET', 'POST']) | [
6738,
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705,
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] | 3.415254 | 118 |
# Generated by Django 3.1.6 on 2021-02-05 12:46
from django.db import migrations, models
import django.db.models.deletion
| [
2,
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] | 2.818182 | 44 |
#!/usr/bin/env python3
from lightning import Plugin
import json
import psutil
import subprocess
import threading
import time
import os
try:
# C-lightning v0.7.2
plugin = Plugin(dynamic=False)
except:
plugin = Plugin()
@plugin.init()
def inject_manifest(plugin, manifest):
"""Once we have the manifest from the child plugin, inject it into our own.
"""
for opt in manifest.get("options", []):
plugin.add_option(opt['name'], opt['default'], opt['description'])
for m in manifest.get("rpcmethods", []):
plugin.add_method(m['name'], plugin.child.proxy_method, background=True)
for s in manifest.get("subscriptions", []):
plugin.add_subscription(s, plugin.child.proxy_subscription)
for h in manifest.get("hooks", []):
plugin.add_hook(h, plugin.child.proxy_method, background=True)
@plugin.method('autoreload-restart')
def restart(plugin):
"""Manually triggers a restart of the plugin controlled by autoreload.
"""
child = plugin.child
child.restart()
# We can't rely on @plugin.init to tell us the plugin we need to watch and
# reload since we need to start it to pass through its manifest before we get
# any cli options. So we're doomed to get our parent cmdline and parse out the
# argument by hand.
parent = psutil.Process().parent()
cmdline = parent.cmdline()
plugin.path = None
prefix = '--autoreload-plugin='
for c in cmdline:
if c.startswith(prefix):
plugin.path = c[len(prefix):]
break
if plugin.path:
plugin.child = ChildPlugin(plugin.path, plugin)
# If we can't start on the first attempt we can't inject into the
# manifest, no point in continuing.
if not plugin.child.start():
raise Exception("Could not start the plugin under development, can't continue")
inject_manifest(plugin, plugin.child.manifest)
# Now we can run the actual plugin
plugin.add_option("autoreload-plugin", None, "Path to the plugin that we should be watching and reloading.")
plugin.run()
| [
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13,
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220,
220,
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611,
407,
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13,
9410,
13,
9688,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
5298,
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7203,
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923,
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11,
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470,
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220,
220,
220,
8677,
62,
805,
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7,
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11,
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13,
9410,
13,
805,
8409,
8,
628,
198,
2,
2735,
356,
460,
1057,
262,
4036,
13877,
198,
33803,
13,
2860,
62,
18076,
7203,
2306,
382,
2220,
12,
33803,
1600,
6045,
11,
366,
15235,
284,
262,
13877,
326,
356,
815,
307,
4964,
290,
18126,
278,
19570,
198,
33803,
13,
5143,
3419,
198
] | 3.008929 | 672 |
from PyQt4 import QtCore, QtGui
import maya.cmds as cmds
import maya.OpenMayaUI as mui
import sip
try:
dialog.deleteLater()
except:
pass
dialog = show()
| [
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220,
220,
220,
198,
38969,
519,
796,
905,
3419,
198
] | 2.076087 | 92 |
import pytest
from fitbert import FitBert
from fitbert.delemmatize import Delemmatizer
dl = Delemmatizer()
"""
def test_masker_works_without_instantiating():
masked_string, masked = FitBert.mask(
"This might be justified to signalling the connection between drunken driving and fatal accidents.",
(27, 37),
)
assert FitBert.mask_token in masked_string, "It should mask using the mask token"
assert masked == "signalling", "It should mask the write substring"
"""
@pytest.mark.slow
| [
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1,
198,
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1,
198,
37811,
628,
198,
31,
9078,
9288,
13,
4102,
13,
38246,
198
] | 3.052632 | 171 |
from django.utils import timezone
from orders.models import Order
class OrderIsPaidSetter:
"""Mark order as paid"""
| [
6738,
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1330,
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198
] | 3.324324 | 37 |
"""Nested Stack for the sample IAM Role creation for Managing SWIFT components"""
from typing import List
from aws_cdk import (
aws_rds as _rds,
aws_iam as _iam
)
from constructs import Construct
from aws_cdk import NestedStack
class SwiftIAMRole(NestedStack):
"""Nested Stack for the sample IAM Role creation for Managing SWIFT components"""
# pylint: disable=too-many-arguments
def create_swift_instance_operator_role(self, instance_ids):
"""create swift instance operator role"""
swift_instance_operator_role = \
_iam.Role(self, "SWIFTInstanceOperatorRole",
role_name="SWIFTInstanceOperatorRole",
assumed_by=_iam.AccountPrincipal(account_id=self.account)
.with_conditions({"Bool": {"aws:MultiFactorAuthPresent": "true"}})
)
instances_resource = []
if instance_ids is not None:
for instance_id in instance_ids:
instances_resource.append(
"arn:aws:ec2:" + self.region + ":" + self.account + ":instance/" + instance_id)
ssm_doc_resource = "arn:aws:ssm:" + self.region + \
":" + self.account + ":document/SSM-SessionManagerRunShell"
statements = [
_iam.PolicyStatement(
effect=_iam.Effect.ALLOW, actions=["ssm:StartSession", "ssm:SendCommand"],
resources=[ssm_doc_resource] + instances_resource,
conditions={"BoolIfExists": {
"ssm:SessionDocumentAccessCheck": "true"}}),
_iam.PolicyStatement(
effect=_iam.Effect.ALLOW,
actions=["ssm:DescribeSessions", "ssm:GetConnectionStatus",
"ssm:DescribeInstanceInformation",
"ssm:DescribeInstanceProperties", "ec2:DescribeInstances"],
resources=["*"]),
_iam.PolicyStatement(
effect=_iam.Effect.ALLOW,
actions=["ssm:TerminateSession"],
resources=[
"arn:aws:ssm:*:*:session/${aws:username}-*"])]
_iam.Policy(
self, "SSMInstanceAccessPolicy", policy_name="SSMInstanceAccessPolicy",
roles=[swift_instance_operator_role], statements=statements,
force=True)
def create_swift_infrastructure_role(
self, database_instance: _rds.DatabaseInstance, instance_ids: List[str],
mq_broker_arn: str):
"""create swift infrastructure role"""
swift_infrastructure_role = \
_iam.Role(self, "SWIFTInfrastructureRole",
role_name="SWIFTInfrastructureRole",
assumed_by=_iam.AccountPrincipal(account_id=self.account)
.with_conditions({"Bool": {"aws:MultiFactorAuthPresent": "true"}})
)
instances_resource = []
if instance_ids is not None:
for instance_id in instance_ids:
instances_resource.append(
"arn:aws:ec2:" + self.region + ":" + self.account + ":instance/" + instance_id)
statements = [
_iam.PolicyStatement(
effect=_iam.Effect.ALLOW, actions=["rds:Describe*"],
resources=["*"]),
_iam.PolicyStatement(
effect=_iam.Effect.ALLOW, actions=["rds:Start*", "rds:Stop*"],
resources=[database_instance.instance_arn]),
_iam.PolicyStatement(
effect=_iam.Effect.ALLOW, actions=["ec2:Describe*"],
resources=["*"]),
_iam.PolicyStatement(
effect=_iam.Effect.ALLOW, actions=["ec2:Start*", "ec2:Stop*"],
resources=instances_resource),
_iam.PolicyStatement(
effect=_iam.Effect.ALLOW, actions=["mq:List*", "mq:Describe*", "mq:RebootBroker"],
resources=[mq_broker_arn]),
_iam.PolicyStatement(
effect=_iam.Effect.ALLOW, actions=["logs:List*", "logs:Describe*", "logs:Get*"],
resources=["*"])]
_iam.Policy(
self, "SwiftInfrastructurePolicy", policy_name="SwiftInfrastructurePolicy",
roles=[swift_infrastructure_role], statements=statements,
force=True)
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] | 2.072076 | 2,095 |
import argparse
import csv
from os.path import join
from pathlib import Path
from tqdm import tqdm
import torch
import torchaudio
import numpy as np
from librosa import resample
if __name__ == "__main__":
main()
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834,
12417,
834,
1298,
198,
220,
220,
220,
1388,
3419,
198
] | 3.112676 | 71 |
#!/usr/bin/env python
import os
from PIL import Image
import glob, os
from tqdm import tqdm
import six
#import cv2
import pandas as pd
from keras_segmentation.data_utils.data_loader import get_image_array, get_segmentation_array
import numpy as np
import re
import json
from pandas.io.json import json_normalize
import time
import multiprocessing
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] | 3.025641 | 117 |
from enum import Enum, auto
from new_movies import movies_directory
weekly_schedule = {
Weekday.MONDAY: movies_directory.available_movies[0:2],
Weekday.TUESDAY: movies_directory.available_movies[2:4],
Weekday.WEDNESDAY: movies_directory.available_movies[4:6],
Weekday.THURSDAY: movies_directory.available_movies[6:8],
Weekday.FRIDAY: movies_directory.available_movies[8:11],
Weekday.SATURDAY: movies_directory.available_movies[11:12],
Weekday.SUNDAY: movies_directory.available_movies[12:14],
}
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] | 2.626866 | 201 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
###########################################################
# WARNING: Generated code! #
# ************************** #
# Manual changes may get lost if file is generated again. #
# Only code inside the [MANUAL] tags will be kept. #
###########################################################
from flexbe_core import Behavior, Autonomy, OperatableStateMachine, ConcurrencyContainer, PriorityContainer, Logger
from sara_flexbe_states.gen_gripper_pose import GenGripperPose
from flexbe_states.check_condition_state import CheckConditionState
from sara_flexbe_states.moveit_move import MoveitMove
# Additional imports can be added inside the following tags
# [MANUAL_IMPORT]
# [/MANUAL_IMPORT]
'''
Created on Fri Oct 20 2017
@author: Philippe La Madeleine
'''
class Check_reachabilitySM(Behavior):
'''
check if the object is in range
'''
# [/MANUAL_INIT]
# Behavior comments:
# Private functions can be added inside the following tags
# [MANUAL_FUNC]
# [/MANUAL_FUNC]
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220,
198,
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1303,
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] | 2.911688 | 385 |
import sys
import transaction
from zope.component.hooks import setSite
PKGNAME = 'uu.formlibrary'
PROFILE = 'profile-%s:default' % PKGNAME
_installed = lambda site: site.portal_quickinstaller.isProductInstalled
product_installed = lambda site, name: _installed(site)(name)
if __name__ == '__main__' and 'app' in locals():
idxname = sys.argv[-1]
if idxname.endswith('.py'):
print 'No index name has been provided, reindexing all indexes.'
idxname = None
main(app, idxname) # noqa
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628
] | 2.717277 | 191 |
#!/usr/bin/env python
#
# This script helps at the generation or correction of groundtruths.
#
# Usage: python missing_incorrect_files.py <pickle_filename>
# where <pickle_filename> has been generated by '0_check_data.py'.
# e.g. python missing_incorrect_files.py 201809192209_incorrect_lesion.pkl
#
# Charley Gros 2018-09-18
# Modified: 2018-10-01
import os
import sys
import pickle
import sct_utils as sct
def _visualize_incorrect_segmentation(lst):
'''Open incorrect segmentations with FSLeyes.'''
stg = '\n\nIncorrect files: ' + str(len(lst)) + '\n\n'
stg += 'Please correct the segmentations and save them as *_lesion_manual.nii.gz for the lesion segmentation.'
stg += '\n'
print stg
for l in lst:
print os.path.dirname(l) + '\n'
fname_img = os.path.dirname(l) + '/' + l.split('/')[-2] + '.nii.gz'
os.system(' '.join(['fsleyes', fname_img, l, '-cm Red']))
def _display_missing_files(dct):
'''Print the missing files in the terminal.'''
stg = '\n\nMissing files: ' + str(len(dct[dct.keys()[0]])) + '\n\n' + '\n'.join(dct[dct.keys()[0]])
print stg
if __name__ == '__main__':
path_pickle = sys.argv[1]
run_main(path_pickle)
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8,
198
] | 2.455319 | 470 |
from rouge import Rouge
import csv
"""Creates a csv file with rouge scores between summaries in a cluster"""
CLUSTERS = {
'sandy':[
"After Sandy hit the East Coast Monday night, more than 2 million New Jersey residents were left without power and feeling powerless",
"Superstorm Sandy crashed ashore this week, cutting a path of destruction several hundred miles long. Here are some numbers that help put it in perspective.",
"Hurricane Sandy struck the Northeast hard when it made landfall in New Jersey Tuesday night. New York Magazine's cover reflects the damage.",
"Hurricane Sandy is poised to become an “unprecedented” superstorm that could leave millions of people in the Northeast without power for days or even weeks, experts said Saturday.",
"One of the largest and fiercest storms to menace the East Coast in years caused widespread flooding, power outages and damage. At least 16 have died, AP reports.",
"The hurricane continued its march north, with powerful winds already affecting the region on Sunday and landfall expected on Monday or Tuesday.",
],
'orlando':[
"A shooting at a gay nightclub in Orlando killed at least 50 people on Sunday, June 12. Orlando police said they shot and killed the gunman.",
"Approximately 20 people have died after an attacker opened fire inside a gay nightclub in the Florida city of Orlando, police say.",
"Officials say at least 49 people were killed and dozens were injured in the shooting.",
"A terrorist opened fire inside a popular Orlando gay club near closing time early Sunday.",
"At least 42 people were taken to hospitals with injuries, police said. The shooter was killed in an exchange of gunfire with police.",
"Police in the US city of Orlando are telling people to stay away from a gay nightclub where a shooting has broken out and people are injured.'",
"Unconfirmed reports have emerged of a shooting at a nightclub in Orlando, Florida.'",
"At least 50 people are dead and dozens injured after a gunman opened fire at a gay nightclub in Orlando. What exactly happened?'",
"For three harrowing hours, as Omar Mateen carried out his rampage inside the Pulse nightclub in Orlando, clubgoers hid in bathrooms, in air-conditioning vents, under tables.'",
"It's the worst terror attack on American soil since 9/11, and the deadliest mass shooting in U.S. history.'",
"The gun massacre Sunday at an Orlando nightclub is the worst in the history of the U.S., where mass shootings are frighteningly common.'",
],
'mandela':[
"Nelson Mandela, who rose from militant antiapartheid activist to become the unifying president of a democratic South Africa and a global symbol of racial reconciliation, died at his Johannesburg home on Thursday. He was 95.",
"He was the country’s most potent symbol of unity, using the power of forgiveness and reconciliation.",
"The South African leader, who passionately fought apartheid, dies at age 95",
"Nelson Mandela, the anti-apartheid crusader and former South African president, died Dec. 5 at 95. We’re bringing you live updates here.",
"In a symbol befitting a nation in mourning, a dark gray cloud swept over Johannesburg on Friday as news spread that Nelson Mandela is dead.",
"The people of South Africa reacted Friday with deep sadness at the loss of a man considered by many to be the father of the nation, while mourners said it was also a time to celebrate the achievements of the anti-apartheid leader who emerged from prison to become South Africa's first black president.",
"When Nelson Mandela died on Thursday, people around the globe gathered to memorialize the man widely recognized as a beacon of courage, hope and freedom.",
"Mandela transformed his nation from oppressive regime to one of the most inclusive democracies on the planet.",
"In an extraordinary life that spanned the rural hills where he was groomed for tribal leadership, anti-apartheid activism, guerrilla warfare, 27 years of political imprisonment and, ultimately, the South African presidency, Mandela held a unique cachet that engendered respect and awe in capitals around the globe.'",
],
'boston':[
"At least two dead and dozens injured when bombs go off near finish line.",
"Two explosions rocked the finish line at the Boston Marathon on Monday, killing three and wounding at least 144 people",
"Pressure cookers are believed to have been used to make the crude bombs that sent torrents of deadly shrapnel hurling into a crowd of onlookers and competitors at Monday’s Boston Marathon, experts told Fox News",
"Two deadly bomb blasts, seconds apart, turned the 117th Boston Marathon – the nation’s premier event for elite and recreational runners – into a tragedy on Monday. Here is a timeline of how the day’s events unfolded: 9 a.m. ET — Race …",
"When two bombs detonated in the final stretch of the Boston Marathon on Monday afternoon, runners, spectators and people across the country and around the world were stunned by the public nature of",
"Mayhem descended on the Boston marathon Monday afternoon, when an explosion at the finish line killed at least two and injured at least 23. TIME is tracking the breaking news from the scene in downtown Boston. Follow here for constant updates. 5:45 p.m.",
"Two bombs exploded in the packed streets near the finish line of the Boston Marathon on Monday, killing two people and injuring more than 100 in a terrifying scene of shattered glass, billowing smoke, bloodstained pavement and severed limbs, authorities said",
"Blasts near the finish line of the renowned race caused dozens of injuries and scattered crowds.",
"Two deadly explosions brought the Boston Marathon and much of this city to a chaotic halt Monday, killing at least three people, injuring about 140 and once again raising the specter of terrorism on American soil.",
]}
if __name__ == '__main__':
main()
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] | 4.613006 | 1,261 |
import dearpygui._dearpygui as internal_dpg
import dearpygui.dearpygui as dpg
# 0.6 functions
# * add_column
# * delete_column
# * set_table_data
# * get_table_data
# * get_table_item
# * set_table_item
# * get_table_selections
# * set_table_selections
# * insert_column
# * insert_row
# * set_headers
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] | 2.345324 | 139 |
"""
Experiment using all GALAH data.
"""
from __future__ import division # Just in case. Use Python 3.
import os
import sys
import pickle
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import yaml
from matplotlib.ticker import MaxNLocator
from collections import Counter
from scipy import linalg
from hashlib import md5
sys.path.insert(0, "../../")
from mcfa import (mcfa, grid_search, mpl_utils, utils)
import galah_dr2 as galah
matplotlib.style.use(mpl_utils.mpl_style)
here = os.path.dirname(os.path.realpath(__file__))
with open("config.yml") as fp:
config = yaml.load(fp)
print(f"Config: {config}")
np.random.seed(config["random_seed"])
prefix = os.path.basename(__file__)[:-3]
unique_hash = md5((f"{config}").encode("utf-8")).hexdigest()[:5]
unique_config_path = f"{unique_hash}.yml"
if os.path.exists(unique_config_path):
print(f"Warning: this configuration already exists: {unique_config_path}")
with open(unique_config_path, "w") as fp:
yaml.dump(config, fp)
with open(__file__, "r") as fp:
code = fp.read()
with open(f"{unique_hash}-{__file__}", "w") as fp:
fp.write(code)
import os
os.system("rm -f *.pkl")
N_elements = 20
use_galah_flags = config["use_galah_flags"]
mcfa_kwds = dict()
mcfa_kwds.update(config["mcfa_kwds"])
elements = config[prefix]["elements"]
if config[prefix]["ignore_elements"] is not None:
elements = [el for el in elements if el not in config[prefix]["ignore_elements"]]
print(elements)
mask = galah.get_abundance_mask(elements, use_galah_flags=use_galah_flags)
galah_cuts = config[prefix]["galah_cuts"]
if galah_cuts is not None:
print(f"Applying cuts: {galah_cuts}")
for k, (lower, upper) in galah_cuts.items():
mask *= (upper >= galah.data[k]) * (galah.data[k] >= lower)
raise a
print(f"Number of stars: {sum(mask)}")
X_H, label_names = galah.get_abundances_wrt_h(elements, mask=mask)
print(f"Data shape: {X_H.shape}")
if config["wrt_x_fe"]:
X = convert_xh_to_xy(X_H, label_names, "fe_h")
else:
X = X_H
if not config["log_abundance"]:
X = 10**X
if config["subtract_mean"]:
X = X - np.mean(X, axis=0)
N, D = X.shape
# Do a gridsearch.
gs_options = config[prefix]["gridsearch"]
max_n_latent_factors = gs_options["max_n_latent_factors"]
max_n_components = gs_options["max_n_components"]
Js = 1 + np.arange(max_n_latent_factors)
Ks = 1 + np.arange(max_n_components)
N_inits = gs_options["n_inits"]
results_path = f"{prefix}-gridsearch-results.pkl"
if os.path.exists(results_path):
with open(results_path, "rb") as fp:
Jg, Kg, converged, meta, X, mcfa_kwds = pickle.load(fp)
else:
Jg, Kg, converged, meta = grid_search.grid_search(Js, Ks, X,
N_inits=N_inits, mcfa_kwds=mcfa_kwds)
with open(results_path, "wb") as fp:
pickle.dump((Jg, Kg, converged, meta, X, mcfa_kwds), fp)
ll = meta["ll"]
bic = meta["bic"]
mml = meta["message_length"]
J_best_ll, K_best_ll = grid_search.best(Js, Ks, -ll)
J_best_bic, K_best_bic = grid_search.best(Js, Ks, bic)
J_best_mml, K_best_mml = grid_search.best(Js, Ks, mml)
print(f"Best log likelihood at J = {J_best_ll} and K = {K_best_ll}")
print(f"Best BIC value found at J = {J_best_bic} and K = {K_best_bic}")
print(f"Best MML value found at J = {J_best_mml} and K = {K_best_mml}")
# Plot some contours.
plot_filled_contours_kwds = dict(converged=converged,
marker_function=np.nanargmin, N=100,
cmap="Spectral_r")
fig_ll = mpl_utils.plot_filled_contours(Jg, Kg, -ll,
colorbar_label=r"$-\log\mathcal{L}$",
**plot_filled_contours_kwds)
savefig(fig_ll, "gridsearch-ll")
fig_bic = mpl_utils.plot_filled_contours(Jg, Kg, bic,
colorbar_label=r"$\textrm{BIC}$",
**plot_filled_contours_kwds)
savefig(fig_bic, "gridsearch-bic")
fig_mml = mpl_utils.plot_filled_contours(Jg, Kg, mml,
colorbar_label=r"$\textrm{MML}$",
**plot_filled_contours_kwds)
savefig(fig_mml, "gridsearch-mml")
model = meta["best_models"][config["adopted_metric"]]
latex_label_names = [r"$\textrm{{{0}}}$".format(ea.split("_")[0].title()) for ea in label_names]
# Draw unrotated.
J_max = config["max_n_latent_factors_for_colormap"]
J_max = 12
cmap = mpl_utils.discrete_cmap(J_max, base_cmap="Spectral")
colors = [cmap(j) for j in range(J_max)]#[::-1]
A_est = model.theta_[model.parameter_names.index("A")]
A_astrophysical = np.zeros_like(A_est)#np.random.normal(0, 0.1, size=A_est.shape)
for i, tes in enumerate(config["grouped_elements"][:model.n_latent_factors]):
for j, te in enumerate(tes):
try:
idx = label_names.index("{0}_h".format(te.lower()))
except ValueError:
print(f"Skipping {te}")
else:
count = sum([(te in foo) for foo in config["grouped_elements"][:model.n_latent_factors]])
A_astrophysical[idx, i] = 1.0/count
A_astrophysical /= np.clip(np.sqrt(np.sum(A_astrophysical, axis=0)), 1, np.inf)
# Un-assigned columns
for column_index in np.where(np.all(A_astrophysical == 0, axis=0))[0]:
print(f"Warning: unassigned column index: {column_index}")
A_astrophysical[:, column_index] = np.random.normal(0, 1e-2, size=D)
if config["correct_A_astrophysical"]:
AL = linalg.cholesky(A_astrophysical.T @ A_astrophysical)
A_astrophysical = A_astrophysical @ linalg.solve(AL, np.eye(model.n_latent_factors))
max_n_rotations = 3
for each in range(max_n_rotations):
A_est = model.theta_[model.parameter_names.index("A")]
R, p_opt, cov, *_ = utils.find_rotation_matrix(A_astrophysical, A_est,
full_output=True)
R_opt = utils.exact_rotation_matrix(A_astrophysical, A_est,
p0=np.random.uniform(-np.pi, np.pi, model.n_latent_factors**2))
# WTF check R_opt.
AL = linalg.cholesky(R_opt.T @ R_opt)
R_opt2 = R_opt @ linalg.solve(AL, np.eye(model.n_latent_factors))
chi1 = np.sum(np.abs(A_est @ R - A_astrophysical))
chi2 = np.sum(np.abs(A_est @ R_opt2 - A_astrophysical))
R = R_opt2 if chi2 < chi1 else R
# Now make it a valid rotation matrix.
model.rotate(R, X=X, ensure_valid_rotation=True)
import pickle
with open(f"{unique_hash}-{prefix}-model.pkl", "wb") as fp:
pickle.dump(model, fp)
"""
J = model.n_latent_factors
L = model.theta_[model.parameter_names.index("A")]
elements = [ea.split("_")[0].title() for ea in label_names]
A_est = model.theta_[model.parameter_names.index("A")]
A_astrophysical = np.zeros_like(A_est)#np.random.normal(0, 0.1, size=A_est.shape)
for i, tes in enumerate(config["grouped_elements"][:model.n_latent_factors]):
for j, te in enumerate(tes):
try:
idx = label_names.index("{0}_h".format(te.lower()))
except ValueError:
print(f"Skipping {te}")
else:
count = sum([(te in foo) for foo in config["grouped_elements"][:model.n_latent_factors]])
A_astrophysical[idx, i] = 1.0/count
A_astrophysical /= np.clip(np.sqrt(np.sum(A_astrophysical, axis=0)), 1, np.inf)
# Un-assigned columns
for column_index in np.where(np.all(A_astrophysical == 0, axis=0))[0]:
print(f"Warning: unassigned column index: {column_index}")
A_astrophysical[:, column_index] = np.random.normal(0, 1e-2, size=D)
AL = linalg.cholesky(A_astrophysical.T @ A_astrophysical)
A_astrophysical = A_astrophysical @ linalg.solve(AL, np.eye(model.n_latent_factors))
R, p_opt, cov, *_ = utils.find_rotation_matrix(A_astrophysical, A_est,
full_output=True)
R_opt = utils.exact_rotation_matrix(A_astrophysical, A_est,
p0=np.random.uniform(-np.pi, np.pi, model.n_latent_factors**2))
# WTF check R_opt.
AL = linalg.cholesky(R_opt.T @ R_opt)
R_opt2 = R_opt @ linalg.solve(AL, np.eye(model.n_latent_factors))
chi1 = np.sum(np.abs(A_est @ R - A_astrophysical))
chi2 = np.sum(np.abs(A_est @ R_opt2 - A_astrophysical))
R = R_opt2 if chi2 < chi1 else R
# Now make it a valid rotation matrix.
model.rotate(R, X=X, ensure_valid_rotation=True)
"""
fig_fac = mpl_utils.plot_factor_loads_and_contributions(model, X,
label_names=latex_label_names, colors=colors,
target_loads=A_astrophysical)
savefig(fig_fac, "latent-factors-and-contributions-with-targets")
fig_fac = mpl_utils.plot_factor_loads_and_contributions(model, X,
label_names=latex_label_names, colors=colors)
savefig(fig_fac, "latent-factors-and-contributions")
raise a
# Plot clustering in data space and latent space.
# For the latent space we will just use a corner plot.
component_cmap = mpl_utils.discrete_cmap(7, base_cmap="Spectral_r")
fig = mpl_utils.plot_latent_space(model, X, ellipse_kwds=dict(alpha=0), s=10, edgecolor="none", alpha=1, c=[component_cmap(_) for _ in np.argmax(model.tau_, axis=1)], show_ticks=True,
label_names=[r"$\mathbf{{S}}_{{{0}}}$".format(i + 1) for i in range(model.n_latent_factors)])
for ax in fig.axes:
if ax.is_last_row():
ax.set_ylim(-1, 1)
ax.set_yticks([-1, 0, 1])
fig.tight_layout()
savefig(fig, "latent-space")
# For the data space we will use N x 2 panels of [X/Fe] vs [Fe/H], coloured by their responsibility.
#X_H, label_names = galah.get_abundances_wrt_h(elements, mask=mask)
X_H, label_names = galah.get_abundances_wrt_h(elements, mask=mask)
fig, axes = plt.subplots(5, 3, figsize=(7.1, 9.0))
axes = np.atleast_1d(axes).flatten()
x = X_H.T[label_names.index("fe_h")]
c = np.argmax(model.tau_, axis=1)
K = model.n_components
y_idx = 0
for i, ax in enumerate(axes):
if label_names[i] == "fe_h":
y_idx += 1
y = X_H.T[y_idx] - x
ax.scatter(x, y, c=[component_cmap(_) for _ in c], s=10, edgecolor="none", rasterized=True)
element = label_names[y_idx].split("_")[0].title()
ax.set_ylabel(r"$[\textrm{{{0}/Fe}}]$".format(element))
y_idx += 1
x_lims = (-1.5, 0.5)
y_lims = (-0.5, 1.0)
for ax in axes:
ax.set_xlim(x_lims)
ax.set_ylim(y_lims)
ax.set_xticks([-1.5, -0.5, 0.5])
#ax.set_yticks([-0.5, 0.25, 1.0, 1.75])
ax.set_yticks([-0.5, 0, 0.5, 1.0])
if ax.is_last_row():
ax.set_xlabel(r"$[\textrm{Fe/H}]$")
else:
ax.set_xticklabels([])
ax.plot(x_lims, [0, 0], ":", c="#666666", lw=0.5, zorder=-1)
ax.plot([0, 0], y_lims, ":", c="#666666", lw=0.5, zorder=-1)
fig.tight_layout()
savefig(fig, "data-space")
latex_elements = [r"$\textrm{{{0}}}$".format(le.split("_")[0].title()) for le in label_names]
fig_scatter = mpl_utils.plot_specific_scatter(model,
steps=True,
xlabel="",
xticklabels=latex_elements,
ylabel=r"$\textrm{specific scatter / dex}$",
ticker_pad=20)
fig_scatter.axes[0].set_yticks(np.arange(0, 0.20, 0.05))
savefig(fig_scatter, "specific-scatter")
here = os.path.dirname(os.path.realpath(__file__))
filename = os.path.join(here, f"{prefix}-{unique_hash}-data.fits")
subset = galah.data[mask]
subset["association"] = np.argmax(model.tau_, axis=1)
subset.write(filename, overwrite=True)
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2004,
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4029,
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220,
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1988,
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198,
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2004,
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2004,
11,
198,
220,
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18364,
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28,
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13,
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853,
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11,
399,
28,
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198,
220,
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7,
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11,
49312,
28,
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8,
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198
] | 2.015957 | 5,828 |
from feeds.tests.test_latest import *
| [
6738,
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1330,
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198
] | 3.454545 | 11 |
# Sample TCP Server
'''from server import server
server_name = 'server'
domain = '192.168.1.218'
protocol = 'TCP'
port = '5060'
server_network_name = 'SERVER'
content_type = 'application'
content_sub_type = 'sdp'
server_ = server(server_name, domain, protocol, port, server_network_name,
content_type, content_sub_type)
def register_server(client_socket):
print('Registering server')
message = server_.receive_message(client_socket)
print(message)
server_.send_message('Received message + ' + message)
print('Message sent')
server_.create_server(register_server)'''
# Sample UDP Server
'''from server import server
server_name = 'server'
domain = 'VaaanInfra.com'
protocol = 'UDP'
port = '5060'
server_network_name = 'SERVER'
content_type = 'application'
content_sub_type = 'sdp'
server_ = server(server_name, domain, protocol, port, server_network_name,
content_type, content_sub_type)
def register_server():
print('Registering server')
message = server_.receive_message()
print(message)
address = ('192.168.1.218', 5060)
server_.send_message(('Received message: ' + message), address)
print('Message sent')
server_.create_server(register_server)'''
from .server import server
| [
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8,
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6,
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764,
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198
] | 2.81153 | 451 |
import unittest
import random
from Analysis.ResAnalyser import PDF_Parser
# Pro tip - Am a noob at Testing :|
class ParserTests(unittest.TestCase):
"""
All tests for PDFParser class & all it's methods go here
"""
if __name__ == '__main__':
unittest.main()
| [
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] | 2.777778 | 99 |
# -*- coding: utf-8 -*-
# Copyright (c) 2020, Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can be
# found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
import unittest
import pytest
pytest.importorskip("tensorflow", minversion="1.14.0")
from tensorflow.core.framework import attr_value_pb2 as attr_value
from tensorflow.core.framework import tensor_shape_pb2 as tensor_shape
from tensorflow.core.framework import types_pb2 as types
from coremltools.converters.mil.mil import types as mil_types
import coremltools.converters.mil.frontend.tensorflow.parse as parse
| [
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355,
21136,
628
] | 2.963964 | 222 |
# Tarsnap - tarsnap website interface
import datetime
from pathlib import Path
import requests
from bs4 import BeautifulSoup, element
URL = "https://www.tarsnap.com"
| [
2,
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] | 3.090909 | 55 |
#Kunal Gautam
#Codewars : @Kunalpod
#Problem name: Simple Fun #204: Smallest Integer
#Problem level: 7 kyu
from itertools import groupby, chain
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from .devicelist import (
ChannelList,
ChannelInfo,
DeviceTokenList,
APIDList,
DeviceInfo,
)
from .tag import (
ChannelTags,
OpenChannelTags
)
from .segment import (
Segment,
SegmentList
)
from .channel_uninstall import (
ChannelUninstall
)
from .open_channel import (
OpenChannel
)
from .named_users import (
NamedUser,
NamedUserList,
NamedUserTags
)
from .static_lists import (
StaticList,
StaticLists,
)
from .locationfinder import (
LocationFinder
)
from .sms import (
Sms
)
from .email import (
Email,
EmailTags
)
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1330,
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37,
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6738,
764,
82,
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1330,
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198,
220,
220,
220,
311,
907,
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8,
198,
198,
6738,
764,
12888,
1330,
357,
198,
220,
220,
220,
9570,
11,
198,
220,
220,
220,
9570,
36142,
198,
8,
198
] | 2.502058 | 243 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import torch
from torch import nn
from typing import List, Union, Dict
from ..builder import NECKS
from ..utils import build_stack_conv_layers, random_init_weights
@NECKS.register_module
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] | 3.607595 | 79 |
'''
---------------------------
runserver.py
---------------------------
Created on 24.04.2015
Last modified on 12.01.2016
Author: Marc Wieland
Description: Starts the application using a local flask server (NOT RECOMMENDED: use wsgi implementation instead see README.md)
----
'''
from webapp import app, db, models
from flask.ext.login import LoginManager
from flask.ext.security import Security,SQLAlchemyUserDatastore
#create database stuff
db.create_all()
#CHANGE THE SECRET KEY HERE:
app.secret_key = '42'
app.run(debug=True, use_reloader=False)
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28,
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11,
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62,
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28,
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8,
198
] | 3.417178 | 163 |
# @file setup.py
# This contains setup info for mu_environment pip module
#
##
# Copyright (c) 2018, Microsoft Corporation
#
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# 2. 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.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
# IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
# INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
# OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
##
import setuptools
from setuptools.command.sdist import sdist
from setuptools.command.install import install
from setuptools.command.develop import develop
from MuEnvironment.bin.NuGet import DownloadNuget
with open("README.rst", "r") as fh:
long_description = fh.read()
class PostSdistCommand(sdist):
"""Post-sdist."""
class PostInstallCommand(install):
"""Post-install."""
class PostDevCommand(develop):
"""Post-develop."""
setuptools.setup(
name="mu_environment",
author="Project Mu Team",
author_email="[email protected]",
description="Project Mu distributed dependency management, build, test, and tool environments.",
long_description=long_description,
url="https://github.com/microsoft/mu_pip_environment",
license='BSD2',
packages=setuptools.find_packages(),
use_scm_version=True,
setup_requires=['setuptools_scm'],
cmdclass={
'sdist': PostSdistCommand,
'install': PostInstallCommand,
'develop': PostDevCommand,
},
include_package_data=True,
entry_points={
'console_scripts': ['omnicache=MuEnvironment.Omnicache:main', 'nuget-publish=MuEnvironment.NugetPublishing:go']
},
install_requires=[
'pyyaml',
'mu_python_library>=0.4.6'
],
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: BSD License",
"Operating System :: OS Independent",
"Development Status :: 4 - Beta"
]
)
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] | 2.879808 | 1,040 |
# Copyright 2020 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""Tests TFP distribution compositionality with JAX transformations."""
import functools
from absl import flags
from absl.testing import parameterized
import hypothesis as hp
from hypothesis import strategies as hps
import jax
from jax import random
import jax.numpy as np
# pylint: disable=no-name-in-module
from tensorflow_probability.python.distributions._jax import hypothesis_testlib as dhps
from tensorflow_probability.python.experimental.substrates.jax import tf2jax as tf
from tensorflow_probability.python.internal._jax import hypothesis_testlib as tfp_hps
from tensorflow_probability.python.internal._jax import test_util
flags.DEFINE_bool('execute_only', False,
'If specified, skip equality checks and only verify '
'execution of transforms works.')
flags.DEFINE_bool('ignore_blocklists', False,
'If specified, run tests even for blocklisted distributions.')
FLAGS = flags.FLAGS
JIT_SAMPLE_BLOCKLIST = ()
JIT_LOGPROB_BLOCKLIST = (
'BatchReshape',
'Bates',
'Independent',
'MixtureSameFamily',
'TransformedDistribution',
)
VMAP_SAMPLE_BLOCKLIST = ('NegativeBinomial',)
VMAP_LOGPROB_BLOCKLIST = (
'BatchReshape',
'Bates',
'Independent',
'MixtureSameFamily',
'TransformedDistribution',
'QuantizedDistribution',
)
JVP_SAMPLE_BLOCKLIST = (
'Bates',
'BetaBinomial',
'Binomial',
'DirichletMultinomial',
'Gamma',
'GeneralizedNormal',
'Multinomial',
'OrderedLogistic',
'PERT',
'Triangular',
'TruncatedNormal',
'Uniform',
'VonMises',
'VonMisesFisher',
'WishartTriL',
)
JVP_LOGPROB_SAMPLE_BLOCKLIST = (
'BetaBinomial',
'Binomial',
'JohnsonSU',
'NegativeBinomial',
'Poisson',
)
JVP_LOGPROB_PARAM_BLOCKLIST = (
'Bates',
'Beta',
'BetaBinomial',
'Binomial',
'CholeskyLKJ',
'GammaGamma',
'HalfStudentT',
'JohnsonSU',
'LKJ',
'NegativeBinomial',
'OrderedLogistic',
'PERT',
'PowerSpherical',
'ProbitBernoulli',
'StudentT',
'Triangular',
'TruncatedNormal',
'Uniform',
'WishartTriL',
)
VJP_SAMPLE_BLOCKLIST = (
'Bates',
'Gamma',
'GeneralizedNormal',
'VonMisesFisher',
)
VJP_LOGPROB_SAMPLE_BLOCKLIST = (
'Categorical',
'OneHotCategorical',
'OrderedLogistic',
'PlackettLuce',
'ProbitBernoulli',
)
VJP_LOGPROB_PARAM_BLOCKLIST = ()
DEFAULT_MAX_EXAMPLES = 3
test_all_distributions = parameterized.named_parameters(
{'testcase_name': dname, 'dist_name': dname} for dname in
sorted(list(dhps.INSTANTIABLE_BASE_DISTS.keys())
+ list(d for d in dhps.INSTANTIABLE_META_DISTS if d != 'Mixture')))
test_base_distributions = parameterized.named_parameters(
{'testcase_name': dname, 'dist_name': dname} for dname in
sorted(list(dhps.INSTANTIABLE_BASE_DISTS.keys())))
del _GradTest # not intended for standalone execution
if __name__ == '__main__':
tf.test.main()
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] | 2.59136 | 1,412 |
"""Setup file
"""
import setuptools
import compphys
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(name='compphys',
version=compphys.__version__,
description='compphys',
long_description=long_description,
long_description_content_type="text/markdown",
python_requires='==3.7, ==3.8',
url=compphys.__github_url__,
author='James Kennington',
author_email='[email protected]',
license='MIT',
packages=setuptools.find_packages(),
install_requires=[
'matplotlib',
'numpy',
'pytest',
'scipy',
'simpy',
'plotly',
],
classifiers=[
"Programming Language :: Python",
"Programming Language :: Python :: 3.8",
"Operating System :: MacOS",
"Operating System :: POSIX :: Linux",
],
zip_safe=False,
include_package_data=True,
)
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] | 1.678238 | 749 |
"""Functions to convert objects to a type"""
| [
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] | 4.090909 | 11 |
import os
from typing import List, Optional
import multiprocessing as mp
from fastapi import FastAPI, BackgroundTasks
from Blocktrace.Networks import Wax
from Blocktrace.Streaming import stream_writer, publish_messages
app = FastAPI()
API_KEY = os.getenv("BT__API_KEY") or ""
GCP_PROJECT_ID = os.getenv("BT__GCP_PROJECT_ID") or ""
GCP_PUBSUB_BLOCK_TOPIC_ID = os.getenv("BT__GCP_PUBSUB_BLOCK_TOPIC_ID") or ""
GCP_PUBSUB_TX_TOPIC_ID = os.getenv("BT__GCP_PUBSUB_TX_TOPIC_ID") or ""
GCP_PUBSUB_ACT_TOPIC_ID = os.getenv("BT__GCP_PUBSUB_ACT_TOPIC_ID") or ""
@app.get("/api/v1/invoke/")
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] | 2.435685 | 241 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
''' Title '''
__author__ = 'Hiroshi Kajino <[email protected]>'
__copyright__ = 'Copyright IBM Corp. 2020, 2021'
import math
import torch
from ..data import (EventSeq,
MultivariateEventSeq,
append_hidden)
from ..utils import complete_logprob
from ..pp.poisson import PoissonProcess
from ..pp.thinning import MultivariateThinningAlgorithmMixin
EPS = 1e-2
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] | 2.42623 | 183 |
import argparse
import subprocess
import os
import re
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("url", help="Specify youtube url to download audio from.")
parser.add_argument("--out", default="out", metavar="<FILENAME>", help="Specify name of output file.")
parser.add_argument("-verbose", action="store_true", help="Show VLC media player GUI when downloading audio.")
parser.add_argument("-no_url_check", action="store_true", help="Disables url regex check. May result in unexpected behavior for invalid links.")
args = parser.parse_args()
main(args)
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] | 3.226804 | 194 |
import os, sys
import run_tests
from libtbx import easy_run
import libtbx.load_env
qrefine_path = libtbx.env.find_in_repositories("qrefine")
pdb_lines = '''
CRYST1 72.470 66.336 68.552 90.00 90.00 90.00 P 1
ATOM 387 N HIS A 30 62.619 25.986 37.359 1.00 66.84 N
ATOM 388 CA HIS A 30 63.258 26.030 36.050 1.00 70.57 C
ATOM 389 C HIS A 30 64.699 26.498 36.196 1.00 70.51 C
ATOM 390 O HIS A 30 64.980 27.444 36.921 1.00 73.92 O
ATOM 391 CB HIS A 30 62.568 26.958 35.058 1.00 70.79 C
ATOM 392 CG HIS A 30 61.106 26.715 34.861 1.00 68.99 C
ATOM 393 ND1 HIS A 30 60.132 27.545 35.365 1.00 77.35 N
ATOM 394 CD2 HIS A 30 60.459 25.708 34.234 1.00 70.51 C
ATOM 395 CE1 HIS A 30 58.941 27.084 35.013 1.00 79.15 C
ATOM 396 NE2 HIS A 30 59.114 25.973 34.318 1.00 70.69 N
ATOM 397 H HIS A 30 61.945 26.509 37.464 0.00 66.84 H
ATOM 398 HA HIS A 30 63.202 25.127 35.700 0.00 70.57 H
ATOM 399 HB2 HIS A 30 62.691 27.873 35.355 0.00 70.79 H
ATOM 400 HB3 HIS A 30 63.012 26.877 34.200 0.00 70.79 H
ATOM 401 HD2 HIS A 30 60.851 24.972 33.822 0.00 70.51 H
ATOM 402 HE1 HIS A 30 58.123 27.475 35.220 0.00 79.15 H
ATOM 403 HE2 HIS A 30 58.487 25.495 33.975 0.00 70.69 H
HETATM 541 ZN ZN A 101 60.278 29.235 36.302 1.00 76.89 ZN
TER
'''
if(__name__=='__main__'):
prefix = os.path.basename(__file__).replace(".py","")
run_tests.runner(function=run, prefix=prefix, disable=False)
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] | 1.708571 | 1,050 |
from HashFunctions import HashFunctions
# def __getitem__(self, data):
# pos = self.hashFunction(data) % self.maxSize
if __name__ == "__main__":
h = ChainingHashing()
h.insert(1, 'a')
h.insert(2, 'b')
h.insert(3, 'c')
h.insert(3, 'd')
print(h[3])
| [
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] | 1.944444 | 162 |
import warnings
import sys
def bits(v, numbits=None):
"""
Display the bits used to store an object
:param v: the value to display the bits of
:param numbits: the number of bits to display. Only used for int objects. bytes objects
always show the exact bits stored, and int objects default to
not showing any leading zeros.
"""
_check_version()
if type(v) is bytes:
if numbits:
warnings.warn('Ignoring provided argument numbits = {} while formatting bytes object'.format(numbits))
hexstring = _bits_bytes(v)
elif type(v) is str:
if numbits:
warnings.warn('Ignoring provided argument numbits = {} while formatting str object'.format(numbits))
hexstring = _bits_str(v)
elif type(v) is int:
hexstring = _bits_int(v, numbits)
else:
raise TypeError('display_bits can only display bytes, str, or int objects')
print(hexstring)
def _bits_bytes(bytes):
"""
Internal implementation of bits() for bytes objects
:param bytes: the bytes object to display the bits of
:return: A string with an ASCII '0' or '1' for each bit.
(An ASCII binary string)
"""
s = ''
for b in bytes:
s += ' ' + _bits_int(b, numbits=8)
return s[1:] # Drop initial space
def _bits_str(s):
"""
Internal implementatino of bits() for it objects
:param s: the string to display the bits of
:return: A string with an ASCII '0' or '1' for each bit
(An ASCII binary string)
"""
display = ''
for c in s:
display += '\n' + _bits_int(ord(c),21)
return display[1:] # Drop initial \n
def _bits_int(v, numbits=None):
"""
Internal implementation of bits() for int objects
:param v: the int value to display in bits
:param numbits: The number of bits to display. Defaults to not showing any leading zeros.
:return: A string with an ASCII '0' or '1' for each bit.
(An ASCII binary string)
"""
if numbits and 2**numbits-1 < v:
raise ValueError('Cannot store '+str(v)+' in '+str(numbits)+' bits')
if numbits:
s = "{:0{digits}b}".format(v,digits=str(numbits))
else:
s = "{:b}".format(v)
return _break(s,8) # Break into groups of 8 bits
def shorthand(v, numplaces=None):
"""
Display the bits used to store an object in hexadecimal shorthand
:param v: The value to display the bits of in hexadecimal shorthand
:param numplaces: The number of hexadecimal places (digits) to display.
e.g. 0x1ef8 has four hexadecimal places.
Only used for int objects. bytes objects always display
2 hexadecimal digits for each byte. int objects default
to showing all hexadecimal places without any leading zeros.
"""
_check_version()
if type(v) is bytes:
if numplaces:
warnings.warn('Ignoring provided argument numbits = {} while formatting bytes object'.format(numplaces))
hexstring = _shorthand_bytes(v)
elif type(v) is str:
if numplaces:
warnings.warn('Ignoring provided argument numbits = {} while formatting str object'.format(numplaces))
hexstring = _shorthand_str(v)
elif type(v) is int:
hexstring = _shorthand_int(v, numplaces)
else:
raise TypeError('display_bits can only display bytes, str, or int objects')
print(hexstring)
def _shorthand_bytes(bytes):
"""
Internal implementation of shorthand() for bytes objects
:param bytes: The bytes object to in hexadecimal shorthand
:return: A string object holding a single ASCII character for each place.
e.g., for 0x1ef8, returns '1ef8'
(An ASCII hexadecimal string)
"""
s = ''
for b in bytes:
s += ' ' + _shorthand_int(b, numplaces=2)
return s[1:] # Drop initial space
def _shorthand_str(s):
"""
Internal implementation of shorthand() for str objects
:param s: String to show shorthand of
:return: ASCII hexadecimal string: A string where each ASCII
characters stores a hexadecimal digit.
"""
display = ''
for c in s:
display += '\n' + _shorthand_int(ord(c),6)
return display[1:] # Drop initial \n
def _shorthand_int(v, numplaces=None):
"""
Internal implementation of the shorthand() for int objects
:param v: The int value to display the bits of in hexadecimal shorthand
:param numplaces: The number of hexadecimal places (digits) to display.
e.g. 0x1ef8 has four hexadecimal places.
int objects default to showing all hexadecimal places
without any leading zeros.
:return: A string object holding a single ASCII character for each place.
e.g., for 0x1ef8, returns '1ef8'
(An ASCII hexadecimal string)
"""
if numplaces and 2**(numplaces*4)-1 < v:
raise ValueError('Cannot store ' + str(v) +' in ' + str(numplaces) + ' hex digits')
if numplaces:
s = "{:0{digits}x}".format(v,digits=str(numplaces))
else:
s = "{:x}".format(v)
return _break(s,2) # Break into bytes (2 hex digits each)
def _break(bitstring,groupsize):
"""
Break a binary string into groups of groupsize digits.
For example, _break('1100001111',4) returns '11 0000 1111'
:param bitstring: The ASCII binary string to break into groups
:param groupsize: The number of bits to group together in each group
:return: A string with spaces inserted between each group.
"""
broken = ''
for i in range(len(bitstring)-groupsize,-1,-groupsize):
broken = bitstring[i:i+groupsize] + ' ' + broken
if len(bitstring)%groupsize > 0: # Avoid adding space before empty left-most group
broken = bitstring[0:len(bitstring)%groupsize] + ' ' + broken
return broken[:-1] # Drop right-most space
def _check_version():
"""
Check that the code is being run with the right version of Python
:raises: RuntimeError if Python 2 is used.
"""
if sys.version_info < (3,):
raise RuntimeError('This course requires Python 3. Please uninstall Python 2 and install Python 3 in its place.'
'(If you need Python 2 for a different class or project, please talk to me.)')
def _tests():
"""
Internal tests. These are run if the module is executed as a stand-alone script.
"""
print("shorthand(b'\\x0a\\x0d')")
shorthand(b'\x0a\x0d')
print("bits(b'A\\r\\n')")
bits(b'A\r\n')
print("bits(b'\\x0a\\x0d')")
bits(b'\x0a\x0d')
print("shorthand(15)")
shorthand(15)
print("shorthand(1000)")
shorthand(1000)
print("bits(15)")
bits(15)
print("bits(1000)")
bits(1000)
print("shorthand('A\\r\\n')")
shorthand('A\r\n')
print("shorthand('\\x0a\\x0d')")
shorthand('\x0a\x0d')
print("bits('A\\r\\n')")
bits('A\r\n')
print("bits('\\x0a\\x0d')")
bits('\x0a\x0d')
if __name__ == "__main__":
_tests()
pass # Breakpoint for debugging | [
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] | 2.500522 | 2,871 |
import csv
import matplotlib.pyplot as plt
with open('idsfinal.csv',mode='r') as csv_file:
csv_reader=csv.DictReader(csv_file)
mydata=[]
for row in csv_reader:
mydata.append(float(row["pot"]))
plt.boxplot(mydata)
plt.ylabel("Potassium")
plt.title("Potassium distribution")
plt.show()
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] | 2.487395 | 119 |
#!/usr/bin/env python
"""
Detect events or relations from text.
"""
from train import workdir, getDetector, getSteps
import sys, os
import tempfile
import codecs
import Utils.Settings as Settings
import Utils.Stream as Stream
import Utils.Download
from Utils.Connection.Connection import getConnection
import Utils.Download
from Detectors.Preprocessor import Preprocessor
def classify(input, model, output, workDir=None, step=None, omitSteps=None,
goldInput=None, detector=None, debug=False, clear=False,
preprocessorTag="-preprocessed.xml.gz", preprocessorParams=None, bioNLPSTParams=None):
"""
Detect events or relations from text.
@param input: The input file in either interaction XML or BioNLP ST format. Can also be a PMID or TEES default corpus name.
@param model: A path to a model file or the name of a TEES default model.
@param output: The output file stem. Output files will be of the form output-*
@param workDir: If intermediate files need to be saved, they will go here.
@param step: A step=substep pair, where the steps are PREPROCESS and CLASSIFY
@param omitSteps: step=substep parameters, where multiple substeps can be defined.
@param goldInput: a version of the corpus file with gold annotation. Enables measuring of performance
@param detector: a Detector object, or a string defining one to be imported. If None, will be read from model.
@param debug: In debug mode, more output is shown, and some temporary intermediate files are saved
@param clear: Remove existing workDir
@param preprocessorTag: preprocessor output file will be output + preprocessorTag
@param preprocessorParams: Optional parameters controlling preprocessing. If None, will be read from model.
@param bioNLPSTParams: Optional parameters controlling BioNLP ST format output. If None, will be read from model.
"""
input = os.path.abspath(input)
if goldInput != None: goldInput = os.path.abspath(goldInput)
if model != None: model = os.path.abspath(model)
# Initialize working directory
if workDir != None: # use a permanent work directory
workdir(workDir, clear)
Stream.openLog(output + "-log.txt") # log in the output directory
# Get input files
input, preprocess = getInput(input)
model = getModel(model)
# Define processing steps
selector, detectorSteps, omitDetectorSteps = getSteps(step, omitSteps, ["PREPROCESS", "CLASSIFY"])
if not preprocess:
selector.markOmitSteps("PREPROCESS")
classifyInput = input
if selector.check("PREPROCESS"):
preprocessor = Preprocessor()
if debug:
preprocessor.setArgForAllSteps("debug", True)
preprocessorOutput = output + preprocessorTag
#preprocessor.debug = debug
#preprocessor.source = input # This has to be defined already here, needs to be fixed later
#preprocessor.requireEntitiesForParsing = True # parse only sentences which contain named entities
if os.path.exists(preprocessorOutput) and not clear: #os.path.exists(preprocessor.getOutputPath("FIND-HEADS")):
#print >> sys.stderr, "Preprocessor output", preprocessor.getOutputPath("FIND-HEADS"), "exists, skipping preprocessing."
print >> sys.stderr, "Preprocessor output", preprocessorOutput, "exists, skipping preprocessing."
classifyInput = preprocessorOutput # preprocessor.getOutputPath("FIND-HEADS")
else:
#print >> sys.stderr, "Preprocessor output", preprocessor.getOutputPath("FIND-HEADS"), "does not exist"
print >> sys.stderr, "Preprocessor output", preprocessorOutput, "does not exist"
print >> sys.stderr, "------------ Preprocessing ------------"
# Remove some of the unnecessary intermediate files
#preprocessor.setIntermediateFiles({"Convert":None, "SPLIT-SENTENCES":None, "PARSE":None, "CONVERT-PARSE":None, "SPLIT-NAMES":None})
# Process input into interaction XML
classifyInput = preprocessor.process(input, preprocessorOutput, preprocessorParams, model, [], fromStep=detectorSteps["PREPROCESS"], toStep=None, omitSteps=omitDetectorSteps["PREPROCESS"])
if selector.check("CLASSIFY"):
detector = getDetector(detector, model)[0]() # initialize detector object
detector.debug = debug
detector.bioNLPSTParams = detector.getBioNLPSharedTaskParams(bioNLPSTParams, model)
detector.classify(classifyInput, model, output, goldData=goldInput, fromStep=detectorSteps["CLASSIFY"], omitSteps=omitDetectorSteps["CLASSIFY"], workDir=workDir)
if __name__=="__main__":
# Import Psyco if available
try:
import psyco
psyco.full()
print >> sys.stderr, "Found Psyco, using"
except ImportError:
print >> sys.stderr, "Psyco not installed"
from optparse import OptionParser
optparser = OptionParser(description="Predict events/relations")
optparser.add_option("-i", "--input", default=None, dest="input", help="input")
optparser.add_option("-o", "--output", default=None, dest="output", help="output file stem")
optparser.add_option("-w", "--workdir", default=None, dest="workdir", help="output directory")
optparser.add_option("-m", "--model", default=None, dest="model", help="TEES model")
optparser.add_option("-d", "--detector", default=None, dest="detector", help="")
optparser.add_option("-c", "--connection", default=None, dest="connection", help="")
optparser.add_option("-g", "--gold", default=None, dest="gold", help="annotated version of the input file (optional)")
optparser.add_option("-p", "--preprocessorParams", default=None, dest="preprocessorParams", help="")
optparser.add_option("-b", "--bioNLPSTParams", default=None, dest="bioNLPSTParams", help="")
# Debugging and process control
optparser.add_option("--step", default=None, dest="step", help="")
optparser.add_option("--omitSteps", default=None, dest="omitSteps", help="")
optparser.add_option("--clearAll", default=False, action="store_true", dest="clearAll", help="Delete all files")
optparser.add_option("--debug", default=False, action="store_true", dest="debug", help="More verbose output")
(options, args) = optparser.parse_args()
assert options.output != None
classify(options.input, options.model, options.output, options.workdir, options.step, options.omitSteps,
options.gold, options.detector, options.debug, options.clearAll,
preprocessorParams=options.preprocessorParams, bioNLPSTParams=options.bioNLPSTParams)
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198
] | 2.918018 | 2,281 |
import pytest
from tennis_probability import set, InvalidInput, InvalidProbability, NegativeNumber
| [
11748,
12972,
9288,
198,
6738,
20790,
62,
1676,
65,
1799,
1330,
900,
11,
17665,
20560,
11,
17665,
2964,
65,
1799,
11,
36183,
15057,
628
] | 4.166667 | 24 |
#
# Copyright (c) 2020 BlackBerry Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""PE Tree runtime abstraction layer"""
# Standard imports
import os
import tempfile
import threading
import struct
# Config parser imports
try:
from configparser import ConfigParser
except ImportError:
from ConfigParser import ConfigParser
# pefile
import pefile
# Qt imports
from PyQt5 import QtCore, Qt, QtGui, QtWidgets
# Capstone imports
try:
import capstone
HAVE_CAPSTONE = True
except ImportError:
HAVE_CAPSTONE = False
# PE Tree imports
import pe_tree.info
# pylint: disable=unused-argument
class RuntimeSignals(QtCore.QObject):
"""Allows worker threads to invoke runtime methods on the UI thread.
Warning:
This class must be instantiated from the UI thread!
"""
def invoke_method(self, method, *args):
"""Invoke runtime method on the UI thread"""
# Ensure only 1 thread at a time can access runtime.ret
self.runtime.lock.acquire()
self.runtime.opaque = self.opaque
# Invoke the runtime method in the UI thread
QtCore.QMetaObject.invokeMethod(self.runtime, method, Qt.Qt.BlockingQueuedConnection, *args)
# Get the method result
ret = self.runtime.ret
self.runtime.lock.release()
return ret
class Runtime(QtCore.QObject):
"""Base runtime class"""
@QtCore.pyqtSlot()
def get_temp_dir(self):
"""Get temporary directory path
Returns:
str: Temporary directory path
"""
self.ret = tempfile.gettempdir()
return self.ret
@QtCore.pyqtSlot()
def get_script_dir(self):
"""Get script directory
Returns:
str: Script directory path
"""
self.ret = os.path.dirname(os.path.realpath(pe_tree.info.__file__))
return self.ret
def show_widget(self):
"""Display the widget"""
self.widget.show()
self.ret = True
return self.ret
@QtCore.pyqtSlot(str, str, str, bool)
def ask_file(self, filename, caption, filter="All Files (*)", save=False):
"""Ask user to select a filename via open/save dialog
Args:
filename (str): Preferred filename
caption (str): Save/open dialog caption
filter (str): File extension filter
save (bool): Present the save dialog if True, otherwise open
Returns:
str: Filename if successful, otherwise None
"""
dialog = QtWidgets.QFileDialog()
options = QtWidgets.QFileDialog.Options()
if not save:
# Open file dialog
filename, _ = dialog.getOpenFileName(self.widget, caption, filename, filter, options=options)
else:
# Save file dialog
if filename[0] == ".":
# Remove leading dot from section names
filename = filename[1:]
filename, _ = dialog.getSaveFileName(self.widget, caption, filename, filter, options=options)
if filename:
self.ret = filename
else:
self.ret = ""
return self.ret
@QtCore.pyqtSlot(object, object)
def read_pe(self, image_base, size=0):
"""Read PE image from memory
Args:
image_base (int): Address of PE file in-memory
size (int, optional): Size of PE file in-memory
Returns:
bytearray: Data of PE image if successful, otherwise an empty bytearray
"""
self.ret = b""
try:
# Read the module's PE headers to determine the image size
pe = pefile.PE(data=self.get_bytes(image_base, 0x1000), fast_load=True)
# Read the remainder of the PE image
pe = pefile.PE(data=self.get_bytes(image_base, max(pe.OPTIONAL_HEADER.SizeOfImage, pe.sections[-1].PointerToRawData + pe.sections[-1].SizeOfRawData)), fast_load=True)
# Fix up section pointers/sizes
for section in pe.sections:
section.PointerToRawData = section.VirtualAddress
section.SizeOfRawData = section.Misc_VirtualSize + (pe.OPTIONAL_HEADER.SectionAlignment - (section.Misc_VirtualSize % pe.OPTIONAL_HEADER.SectionAlignment))
# Get PE data
self.ret = pe.write()
except:
pass
return self.ret
@QtCore.pyqtSlot(int, int)
def get_bytes(self, start, size):
"""Read a sequence of bytes from memory
Args:
start (int): Start address
size (int): Number of byte to read
Returns:
int: Array of bytes if successful, otherwise None
"""
self.ret = None
return self.ret
@QtCore.pyqtSlot(int)
def get_byte(self, offset):
"""Read 8-bits from memory
Args:
offset (int): Offset to read from
Returns:
int: Byte value
"""
self.ret = self.get_bytes(offset, 1)
return self.ret
@QtCore.pyqtSlot(int)
def get_word(self, offset):
"""Read 16-bits from memory
Args:
offset (int): Offset to read from
Returns:
int: Word value
"""
self.ret = struct.unpack("<H", self.get_bytes(offset, 2))[0]
return self.ret
@QtCore.pyqtSlot(int)
def get_dword(self, offset):
"""Read 32-bits from memory
Args:
offset (int): Offset to read from
Returns:
int: Dword value
"""
self.ret = struct.unpack("<I", self.get_bytes(offset, 4))[0]
return self.ret
@QtCore.pyqtSlot(int)
def get_qword(self, offset):
"""Read 64-bits from memory
Args:
offset (int): Offset to read from
Returns:
int: Qword value
"""
self.ret = struct.unpack("<Q", self.get_bytes(offset, 8))[0]
return self.ret
@QtCore.pyqtSlot(int)
def get_name(self, offset):
"""Get symbol name for the given address
Args:
offset (int): Address to get name for
Returns:
str: Name of symbol if successful, otherwise an empty string
"""
self.ret = ""
return self.ret
@QtCore.pyqtSlot(int)
def get_segment_name(self, offset):
"""Get segment/module name for the given address
Args:
offset (int): Address to get name for
Returns:
str: Name of segment/module if successful, otherwise an empty string
"""
self.ret = ""
return self.ret
@QtCore.pyqtSlot(int)
def is_writable(self, offset):
"""Determine if the memory address is write-able
Args:
offset (int): Address to check for write permissions
Returns:
bool: True if the memory address resides in writable page of memory, otherwise False
"""
self.ret = False
return self.ret
@QtCore.pyqtSlot(int)
def get_label(self, offset):
"""Get the disassembly label for the given address
Args:
offset (int): Address to get label for
Returns:
str: Label name if successful, otherwise an empty string
"""
self.ret = ""
return self.ret
@QtCore.pyqtSlot(object, int)
def jumpto(self, item, offset):
"""User double-clicked an item in the tree, by default disassemble using capstone
Args:
item (pe_tree.tree): Item that was double-clicked by the user
offset (int): Address to jump to
"""
try:
if item.tree.disasm:
for i in item.tree.disasm.disasm(item.get_data(size=0x100), offset):
item.tree.form.runtime.log("0x{:x}:\t{}\t{}".format(i.address, i.mnemonic, i.op_str))
except ValueError:
pass
self.ret = True
return self.ret
@QtCore.pyqtSlot(str)
def log(self, output):
"""Print to output"""
output_view = self.pe_tree_form.output_stack.currentWidget()
if output_view:
self.pe_tree_form.output_stack.setVisible(True)
output_view.setVisible(True)
output_view.append(output)
output_view.moveCursor(QtGui.QTextCursor.End)
self.ret = True
return self.ret
@QtCore.pyqtSlot(int, int)
def make_string(self, offset, size):
"""Convert the data at the given offset to an ASCII string
Args:
offset (int): Address to convert to string
size (int): Length of the string in bytes
"""
self.ret = None
return self.ret
@QtCore.pyqtSlot(int, str)
def make_comment(self, offset, comment):
"""Add a comment to the disassembly
Args:
offset (int): Address to comment
comment (str): Comment string
"""
self.ret = None
return self.ret
@QtCore.pyqtSlot(int, int, str, str, bytes)
def make_segment(self, offset, size, class_name="DATA", name="pe_map", data=None):
"""Add a segment in the IDB
Args:
offset (int): Base address of the new segment
size (int): Size of the new segment in bytes
class_name (str): "CODE" or "DATA" (default)
name (str): Name of the segment, default is "pe_map"
data (bytes): Data to populate the segment with (optional)
"""
self.ret = None
return self.ret
@QtCore.pyqtSlot(int)
def resolve_address(self, offset):
"""Get module/symbol name for the given address
Args:
offset (int): Address to get module and symbol name for
Returns:
(str,str): Tuple containing module name and API name. Either name may be "" if not available.
"""
self.ret = ("", "")
return self.ret
@QtCore.pyqtSlot(int)
def make_qword(self, offset):
"""Convert data at the specified address to a Qword
Args:
offset (int): Offset to convert
"""
self.ret = None
return self.ret
@QtCore.pyqtSlot(int)
def make_dword(self, offset):
"""Convert data at the specified address to a Dword
Args:
offset (int): Offset to convert
"""
self.ret = None
return self.ret
@QtCore.pyqtSlot(int)
def make_word(self, offset):
"""Convert data at the specified address to a Word
Args:
offset (int): Offset to convert
"""
self.ret = None
return self.ret
@QtCore.pyqtSlot(int, int)
def make_byte(self, offset, size=1):
"""Convert data at the specified address to a byte
Args:
offset (int): Offset to convert
"""
self.ret = None
return self.ret
@QtCore.pyqtSlot(int, str, int)
def make_name(self, offset, name, flags=0):
"""Name the given offset
Args:
name (str): Name of offset
offset (int): Offset to name
flags (int): Optional flags to pass to idc.set_name
"""
self.ret = None
return self.ret
@QtCore.pyqtSlot()
def get_names(self):
"""Get list of all available symbols/name"""
self.ret = None
return self.ret
@QtCore.pyqtSlot(object, object, object, object)
def find_iat_ptrs(self, pe, image_base, size, get_word):
"""Find likely IAT pointers using capstone for disassembly
Args:
pe (pefile): Parsed PE file
image_base (int): Base address of image
size (int): Size of image
get_word (object): Callback routine to read a Dword/Qword from memory (depending on the image architecture)
Returns:
[(int, int, str, str)]: Tuple containing IAT offset, xref, module name and API name
"""
# Initialise capstone
disasm = self.init_capstone(pe)
disasm.detail = True
iat_ptrs = []
# Traverse sections
for section in pe.sections:
# Is the section executable?
if not section.Characteristics & pefile.SECTION_CHARACTERISTICS["IMAGE_SCN_MEM_EXECUTE"]:
continue
# Does the section contain anything?
data = section.get_data()
if not data:
continue
# Disassemble section
for i in disasm.disasm(section.get_data(), image_base + section.VirtualAddress):
# Attempt to read the current instruction's effective memory address operand (if present)
ptr = 0
if i.mnemonic in ["call", "push", "jmp"]:
if i.operands[0].type == capstone.x86.X86_OP_MEM:
# Get memory offset for branch instructions
ptr = i.operands[0].value.mem.disp
elif i.mnemonic in ["mov", "lea"]:
if i.operands[0].type == capstone.x86.X86_OP_REG and i.operands[1].type == capstone.x86.X86_OP_MEM:
# Get memory offset for mov/lea instructions
ptr = i.operands[1].value.mem.disp
# Does the instruction's memory address operand seem somewhat valid?!
if ptr < 0x1000:
continue
# Resolve pointer from memory operand
try:
iat_offset = get_word(ptr)
except:
continue
# Ignore offset if it is in our image
if image_base <= iat_offset <= image_base + size:
continue
# Get module and API name for offset
module, api = self.resolve_address(iat_offset)
# Ignore the offset if it is in a debug segment or stack etc
if api and module and module.endswith(".dll"):
if not iat_offset in iat_ptrs:
# Add IAT offset, address to patch, module name and API name to list
iat_ptrs.append((iat_offset, i.address + len(i.bytes) - 4, module, api))
self.ret = iat_ptrs
return self.ret
@QtCore.pyqtSlot(object)
def find_pe(self, cursor=None):
"""Find MZ/PE headers in memory
Args:
cursor (bool): If True, search for MZ/PE at the current cursor position, otherwise scan the entire address space
Returns:
[(int, str, bool)]: Tuple containing MZ offset, section name and bool set to True if the image is 64-bit
"""
self.ret = None
return self.ret
@QtCore.pyqtSlot(object)
def init_capstone(self, pe):
""" Initialise capstone disassembler
Args:
pe (pefile): PE file whose machine type is used to initialise capstone
Returns:
[capstone.Cs]: Capstone disassembler or None if unavailable/not supported
"""
self.ret = None
if HAVE_CAPSTONE:
mt = pefile.MACHINE_TYPE
if pe.FILE_HEADER.Machine == mt["IMAGE_FILE_MACHINE_I386"]:
self.ret = capstone.Cs(capstone.CS_ARCH_X86, capstone.CS_MODE_32)
if pe.FILE_HEADER.Machine == mt["IMAGE_FILE_MACHINE_AMD64"]:
self.ret = capstone.Cs(capstone.CS_ARCH_X86, capstone.CS_MODE_64)
if pe.FILE_HEADER.Machine == mt["IMAGE_FILE_MACHINE_ARM"]:
self.ret = capstone.Cs(capstone.CS_ARCH_ARM, capstone.CS_MODE_ARM)
if pe.FILE_HEADER.Machine == mt["IMAGE_FILE_MACHINE_POWERPC"]:
self.ret = capstone.Cs(capstone.CS_ARCH_PPC, capstone.CS_MODE_LITTLE_ENDIAN)
if pe.FILE_HEADER.Machine in [mt["IMAGE_FILE_MACHINE_THUMB"], mt["IMAGE_FILE_MACHINE_ARMNT"]]:
self.ret = capstone.Cs(capstone.CS_ARCH_ARM, capstone.CS_MODE_THUMB)
if pe.FILE_HEADER.Machine in [mt["IMAGE_FILE_MACHINE_R3000"], mt["IMAGE_FILE_MACHINE_R4000"], mt["IMAGE_FILE_MACHINE_R10000"]]:
self.ret = capstone.Cs(capstone.CS_ARCH_MIPS, capstone.CS_MODE_MIPS32)
return self.ret
@QtCore.pyqtSlot(str, str, object)
def get_config_option(self, section, option, fallback):
"""Read configuration option from INI file
Args:
section (str): Name of config section
option (str): Name of config option
fallback (object): Default fallback value if option is non-existing
Returns:
object: Configuration option if present, otherwise fallback argument
Warning:
Only invoke from UI thread
"""
self.config_lock.acquire()
if self.config.has_section(section) and self.config.has_option(section, option):
if isinstance(fallback, bool):
self.ret = self.config.getboolean(section, option)
else:
self.ret = self.config.get(section, option)
else:
self.ret = fallback
self.config_lock.release()
return self.ret
def set_config_option(self, section, option, value):
"""Set configuration option in INI file
Args:
section (str): Name of config section
option (str): Name of config option
value (object): Default config value
Warning:
Only invoke from UI thread
"""
self.config_lock.acquire()
self.config.set(section, option, str(value))
self.save_config()
self.config_lock.release()
def read_config(self):
"""Load configuration from INI file
Warning:
Only invoke from UI thread
"""
self.config_lock.acquire()
# Initialise and parse config
self.config = ConfigParser()
self.config.read(self.config_file)
self.config_lock.release()
def set_default_config_option(self, config, section, option, default):
"""Set config option, fallback to default. Used internally to save config.
Args:
config (ConfigParser): Configuration parser
section (str): Name of config section
option (str): Name of config option
default (object): Default value to use if option is non-existing
Warning:
Only invoke from UI thread
"""
config.set(section, option, self.get_config_option(section, option, default))
def save_config(self):
"""Save all configuration options to INI file
Warning:
Only invoke from UI thread
"""
self.config_lock.acquire()
try:
with open(self.config_file, "w") as config_file:
config = ConfigParser()
config.add_section("config")
self.set_default_config_option(config, "config", "debug", "False")
self.set_default_config_option(config, "config", "fonts", ",".join(["Consolas", "Monospace", "Courier"]))
self.set_default_config_option(config, "config", "passwords", ",".join(["", "infected"]))
self.set_default_config_option(config, "config", "virustotal_url", "https://www.virustotal.com/gui/search")
self.set_default_config_option(config, "config", "cyberchef_url", "https://gchq.github.io/CyberChef")
config.write(config_file)
self.config = config
except EnvironmentError:
pass
self.config_lock.release()
def get_available_font(self, families=None):
"""Read fonts from config and return first available font in Qt
Args:
families (list): Optional list of default fonts, otherwise this is read using get_config_option
Returns:
QtGui.QFont: QFont initialised using the family specified via config/families argument
Warning:
Only invoke from UI thread
"""
if not families:
# Read fonts from config
families = self.get_config_option("config", "fonts", None)
if families:
families = families.split(",")
if not families:
# Fallback to some sane fonts
families = ["Consolas", "Monospace", "Courier"]
# Check if fonts are available in Qt font database
for family in families:
family = family.strip()
if family in QtGui.QFontDatabase().families():
return QtGui.QFont(family)
return QtGui.QFont()
def about_box(self):
"""Show application about box
Warning:
Only invoke from UI thread
"""
message_box = QtWidgets.QMessageBox()
message_box.setIcon(QtWidgets.QMessageBox.Information)
message_box.setWindowTitle("About {}".format(pe_tree.info.__title__))
message_box.setText("<a href={}>{} - {}</a>".format(pe_tree.info.__url__, pe_tree.info.__title__, pe_tree.info.__version__))
message_box.setInformativeText("<span style=\"white-space: nowrap;\">Developed by <a href=\"{}\">BlackBerry Research and Intelligence Team</a></span><br><br>{}".format("https://www.blackberry.com/us/en/company/research-and-intelligence", pe_tree.info.__copyright__))
message_box.setStandardButtons(QtWidgets.QMessageBox.Ok)
message_box.exec_()
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5569,
257,
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286,
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422,
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220,
220,
220,
220,
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14542,
25,
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220,
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220,
220,
220,
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220,
220,
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220,
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357,
600,
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286,
18022,
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220,
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11,
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198,
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220,
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198,
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220,
220,
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48,
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13,
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38963,
7,
600,
8,
198,
220,
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220,
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62,
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7,
944,
11,
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2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
5569,
807,
12,
9895,
422,
4088,
628,
220,
220,
220,
220,
220,
220,
220,
943,
14542,
25,
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220,
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25,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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1988,
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198,
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220,
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352,
8,
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11,
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198,
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220,
220,
220,
220,
220,
37227,
5569,
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12,
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628,
220,
220,
220,
220,
220,
220,
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14542,
25,
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220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
493,
25,
9678,
1988,
628,
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220,
220,
220,
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220,
220,
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198,
220,
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220,
220,
220,
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27,
39,
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13,
1136,
62,
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7,
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11,
362,
4008,
58,
15,
60,
198,
220,
220,
220,
220,
220,
220,
220,
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13,
1186,
628,
220,
220,
220,
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48,
83,
14055,
13,
9078,
39568,
38963,
7,
600,
8,
198,
220,
220,
220,
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651,
62,
67,
4775,
7,
944,
11,
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2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
5569,
3933,
12,
9895,
422,
4088,
628,
220,
220,
220,
220,
220,
220,
220,
943,
14542,
25,
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220,
220,
220,
220,
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220,
220,
220,
220,
220,
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220,
220,
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220,
16409,
25,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
493,
25,
360,
4775,
1988,
628,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
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13,
1186,
796,
2878,
13,
403,
8002,
7203,
27,
40,
1600,
2116,
13,
1136,
62,
33661,
7,
28968,
11,
604,
4008,
58,
15,
60,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
1186,
628,
220,
220,
220,
2488,
48,
83,
14055,
13,
9078,
39568,
38963,
7,
600,
8,
198,
220,
220,
220,
825,
651,
62,
80,
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] | 2.238433 | 9,877 |
#!/usr/bin/env python
"""
@package ion.services.sa.observatory.test.test_platform_instrument
@file ion/services/sa/observatory/test/test_platform_instrument.py
@author Carlos Rueda, Maurice Manning
@brief Tests involving some more detailed platform-instrument interations
"""
__author__ = 'Carlos Rueda, Maurice Manning'
#
# Base preparations and construction of the platform topology are provided by
# the base class BaseTestPlatform.
#
# developer conveniences:
# bin/nosetests -sv ion/services/sa/observatory/test/test_platform_instrument.py:Test.test_platform_with_instrument_streaming
from pyon.public import log
from ion.agents.platform.test.base_test_platform_agent import BaseIntTestPlatform
from pyon.agent.agent import ResourceAgentClient
from ion.agents.platform.test.base_test_platform_agent import FakeProcess
from pyon.agent.agent import ResourceAgentState
from pyon.event.event import EventSubscriber
from interface.services.sa.iinstrument_management_service import InstrumentManagementServiceClient
from interface.objects import AgentCommand
import unittest
import gevent
from mock import patch
from pyon.public import CFG
# -------------------------------- MI ----------------------------
# the following adapted from test_instrument_agent to be able to import from
# the MI repo, using egg directly.
from ion.agents.instrument.test.load_test_driver_egg import load_egg
DVR_CONFIG = load_egg()
# now we can import SBE37ProtocolEvent
from mi.instrument.seabird.sbe37smb.ooicore.driver import SBE37ProtocolEvent
# ------------------------------------------------------------------------
@patch.dict(CFG, {'endpoint': {'receive': {'timeout': 180}}})
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82,
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13,
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13,
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1330,
311,
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198,
198,
2,
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982,
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31,
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7,
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38,
11,
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6,
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1391,
6,
260,
15164,
10354,
1391,
6,
48678,
10354,
11546,
11709,
30072,
198
] | 3.585987 | 471 |
#!/usr/bin/env python
# Licensed to Cloudera, Inc. under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. Cloudera, Inc. 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 tablib
from desktop.lib.export_csvxls import create_generator, make_response
from nose.tools import assert_equal
| [
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13,
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13,
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62,
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87,
7278,
1330,
2251,
62,
8612,
1352,
11,
787,
62,
26209,
198,
6738,
9686,
13,
31391,
1330,
6818,
62,
40496,
628
] | 3.840336 | 238 |
#!/usr/bin/env python
# coding: utf-8
'''
* Author : Hutter Valentin
* Date : 13.05.2019
* Description : Hector agent monitoring
* Help :
- https://psutil.readthedocs.io/en/latest/#processes
- https://psutil.readthedocs.io/en/latest/#psutil.process_iter
- https://psutil.readthedocs.io/en/latest/#unicode
'''
import psutil
import sys
sys.path.insert(0, '..') # to import helpers from parent folder
import helpers
| [
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1303,
284,
1330,
49385,
422,
2560,
9483,
198,
11748,
49385,
198
] | 2.70625 | 160 |
"""
Constants used across all files
"""
# The constants in this file must be defined and checked by the user of the template
import numpy as np
from typing import Dict, List, Optional
from copy import deepcopy
from datetime import date
seed = 0
true_params = {"b0": 6, "b1": 1.3, "scale": 50}
n = 300
x_min = -50
x_max = 100
np.random.seed(seed)
x_fix = np.random.uniform(x_min, x_max, n)
np.random.seed(seed)
e_fix = np.random.normal(0, true_params["scale"], n)
np.random.seed(seed)
y_fix = true_params["b0"] + true_params["b1"] * x_fix + e_fix | [
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16,
8973,
1635,
2124,
62,
13049,
1343,
304,
62,
13049
] | 2.681159 | 207 |
"""
Class containing the dictionary for the Yeelight protocol
"""
# COMMAND message {id_pair, method_pair, params_pair}
# id_pair is "id":<number>
# method_pair is "method":"<method>"
# params_pair is "params":["<param1>","<param2>", <numeric_param3>]
# <param1> is "property":<property_value>
if __name__ == '__main__':
method_returned = DictYeelight().run()
# Useful information
print("Method is " + str(method_returned))
| [
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17410,
318,
366,
1343,
965,
7,
24396,
62,
7783,
276,
4008,
198
] | 2.676301 | 173 |
# Rope Burning Riddler from fivethirtyeight.com
# Main program
# Numbers of ropes to do
MinRopes = 1
MaxRopes = 6
for N in range(MinRopes,MaxRopes+1):
# ropes is a list of pairs. each pair is: [ends-lit
# (0, 1, or 2), time (has been or will be) extinguished].
# We start with extinction time 0 as a dummy value.
ropes = [[0,0]]*N
time = 0
situation = [ropes,time]
# Keep track of the situations we have already processed
already_explored = [situation]
# This is our list of the durations we can measure
times = []
# Recursively explore the achievable situations
explore(situation)
# Done. Tidy up and finish.
if 0 in times:
# 0 is not a duration per problem statement.
times.remove(0)
times.sort()
print(N,"ropes measure",len(times), "intervals")
# print(times)
| [
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8,
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197,
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274,
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7,
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366,
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12786,
4943,
198,
197,
2,
3601,
7,
22355,
8,
198,
197,
198
] | 2.919118 | 272 |
import os
import pandas as pd
from sklearn import ensemble
from sklearn import preprocessing
from sklearn import metrics
import joblib
import numpy as np
import time
from . import dispatcher
TEST_DATA = os.environ.get("TEST_DATA")
MODEL = os.environ.get("MODEL")
PATH = os.environ.get("MODEL_PATH")
NUM_FOLDS = int(os.environ.get("NUM_FOLDS"))
if __name__ == "__main__":
print("\nPridicting The Values ......")
time.sleep(7)
submission = predict(test_data_path=TEST_DATA,
model_type=MODEL)
submission.loc[:, "id"] = submission.loc[:, "id"].astype(int)
submission.to_csv(f"/Users/my_mac/Documents/Machine Learning/ML/input/{MODEL}_submission.csv", index=False)
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58,
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366,
312,
1,
4083,
459,
2981,
7,
600,
8,
198,
220,
220,
220,
14498,
13,
1462,
62,
40664,
7,
69,
1,
14,
14490,
14,
1820,
62,
20285,
14,
38354,
14,
37573,
18252,
14,
5805,
14,
15414,
14,
90,
33365,
3698,
92,
62,
7266,
3411,
13,
40664,
1600,
6376,
28,
25101,
8,
198
] | 2.561151 | 278 |
#!/usr/bin/env python
import rospy
import tf
import roslib
import random
import math
import copy as copy_module
from tf.transformations import euler_from_quaternion, quaternion_from_euler
from nav_msgs.msg import Odometry
from geometry_msgs.msg import Point, Pose, Quaternion, Twist, Vector3
from ackermann_msgs.msg import AckermannDrive
if __name__ == '__main__':
rospy.loginfo('we are starting')
commandManager = CommandEncoder(300)
commandManager.provider()
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] | 2.993711 | 159 |
import contextlib
import os
import signal
import subprocess
import time
from distutils.spawn import find_executable
import cudf
import pytest
from cudf.tests.utils import assert_eq
import nvtabular as nvt
import nvtabular.ops as ops
triton = pytest.importorskip("nvtabular.inference.triton")
grpcclient = pytest.importorskip("tritonclient.grpc")
tritonclient = pytest.importorskip("tritonclient")
_TRITON_SERVER_PATH = find_executable("tritonserver")
@contextlib.contextmanager
@pytest.mark.skipif(_TRITON_SERVER_PATH is None, reason="Requires tritonserver on the path")
@pytest.mark.parametrize("engine", ["parquet"])
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# -*- coding: utf-8 -*-
'''
The networking module for Debian based distros
References:
* http://www.debian.org/doc/manuals/debian-reference/ch05.en.html
'''
# Import python libs
from __future__ import absolute_import
import functools
import logging
import os.path
import os
import re
import time
# Import third party libs
import jinja2
import jinja2.exceptions
import salt.ext.six as six
from salt.ext.six.moves import StringIO # pylint: disable=import-error,no-name-in-module
# Import salt libs
import salt.utils
import salt.utils.templates
import salt.utils.validate.net
import salt.utils.odict
# Set up logging
log = logging.getLogger(__name__)
# Set up template environment
JINJA = jinja2.Environment(
loader=jinja2.FileSystemLoader(
os.path.join(salt.utils.templates.TEMPLATE_DIRNAME, 'debian_ip')
)
)
# Define the module's virtual name
__virtualname__ = 'ip'
def __virtual__():
'''
Confine this module to Debian based distros
'''
if __grains__['os_family'] == 'Debian':
return __virtualname__
return (False, 'The debian_ip module could not be loaded: '
'unsupported OS family')
_ETHTOOL_CONFIG_OPTS = {
'speed': 'link-speed',
'duplex': 'link-duplex',
'autoneg': 'ethernet-autoneg',
'ethernet-port': 'ethernet-port',
'wol': 'ethernet-wol',
'driver-message-level': 'driver-message-level',
'ethernet-pause-rx': 'ethernet-pause-rx',
'ethernet-pause-tx': 'ethernet-pause-tx',
'ethernet-pause-autoneg': 'ethernet-pause-autoneg',
'rx': 'offload-rx',
'tx': 'offload-tx',
'sg': 'offload-sg',
'tso': 'offload-tso',
'ufo': 'offload-ufo',
'gso': 'offload-gso',
'gro': 'offload-gro',
'lro': 'offload-lro',
'hardware-irq-coalesce-adaptive-rx': 'hardware-irq-coalesce-adaptive-rx',
'hardware-irq-coalesce-adaptive-tx': 'hardware-irq-coalesce-adaptive-tx',
'hardware-irq-coalesce-rx-usecs': 'hardware-irq-coalesce-rx-usecs',
'hardware-irq-coalesce-rx-frames': 'hardware-irq-coalesce-rx-frames',
'hardware-dma-ring-rx': 'hardware-dma-ring-rx',
'hardware-dma-ring-rx-mini': 'hardware-dma-ring-rx-mini',
'hardware-dma-ring-rx-jumbo': 'hardware-dma-ring-rx-jumbo',
'hardware-dma-ring-tx': 'hardware-dma-ring-tx',
}
_REV_ETHTOOL_CONFIG_OPTS = {
'link-speed': 'speed',
'link-duplex': 'duplex',
'ethernet-autoneg': 'autoneg',
'ethernet-port': 'ethernet-port',
'ethernet-wol': 'wol',
'driver-message-level': 'driver-message-level',
'ethernet-pause-rx': 'ethernet-pause-rx',
'ethernet-pause-tx': 'ethernet-pause-tx',
'ethernet-pause-autoneg': 'ethernet-pause-autoneg',
'offload-rx': 'rx',
'offload-tx': 'tx',
'offload-sg': 'sg',
'offload-tso': 'tso',
'offload-ufo': 'ufo',
'offload-gso': 'gso',
'offload-lro': 'lro',
'offload-gro': 'gro',
'hardware-irq-coalesce-adaptive-rx': 'hardware-irq-coalesce-adaptive-rx',
'hardware-irq-coalesce-adaptive-tx': 'hardware-irq-coalesce-adaptive-tx',
'hardware-irq-coalesce-rx-usecs': 'hardware-irq-coalesce-rx-usecs',
'hardware-irq-coalesce-rx-frames': 'hardware-irq-coalesce-rx-frames',
'hardware-dma-ring-rx': 'hardware-dma-ring-rx',
'hardware-dma-ring-rx-mini': 'hardware-dma-ring-rx-mini',
'hardware-dma-ring-rx-jumbo': 'hardware-dma-ring-rx-jumbo',
'hardware-dma-ring-tx': 'hardware-dma-ring-tx',
}
_DEB_CONFIG_PPPOE_OPTS = {
'user': 'user',
'password': 'password',
'provider': 'provider',
'pppoe_iface': 'pppoe_iface',
'noipdefault': 'noipdefault',
'usepeerdns': 'usepeerdns',
'defaultroute': 'defaultroute',
'holdoff': 'holdoff',
'maxfail': 'maxfail',
'hide-password': 'hide-password',
'lcp-echo-interval': 'lcp-echo-interval',
'lcp-echo-failure': 'lcp-echo-failure',
'connect': 'connect',
'noauth': 'noauth',
'persist': 'persist',
'mtu': 'mtu',
'noaccomp': 'noaccomp',
'linkname': 'linkname',
}
_DEB_ROUTES_FILE = '/etc/network/routes'
_DEB_NETWORK_FILE = '/etc/network/interfaces'
_DEB_NETWORK_DIR = '/etc/network/interfaces.d/'
_DEB_NETWORK_UP_DIR = '/etc/network/if-up.d/'
_DEB_NETWORK_DOWN_DIR = '/etc/network/if-down.d/'
_DEB_NETWORK_CONF_FILES = '/etc/modprobe.d/'
_DEB_NETWORKING_FILE = '/etc/default/networking'
_DEB_HOSTNAME_FILE = '/etc/hostname'
_DEB_RESOLV_FILE = '/etc/resolv.conf'
_DEB_PPP_DIR = '/etc/ppp/peers/'
_CONFIG_TRUE = ['yes', 'on', 'true', '1', True]
_CONFIG_FALSE = ['no', 'off', 'false', '0', False]
_IFACE_TYPES = [
'eth', 'bond', 'alias', 'clone',
'ipsec', 'dialup', 'bridge', 'slave',
'vlan', 'pppoe', 'source',
]
def _error_msg_iface(iface, option, expected):
'''
Build an appropriate error message from a given option and
a list of expected values.
'''
msg = 'Invalid option -- Interface: {0}, Option: {1}, Expected: [{2}]'
return msg.format(iface, option, '|'.join(expected))
def _error_msg_routes(iface, option, expected):
'''
Build an appropriate error message from a given option and
a list of expected values.
'''
msg = 'Invalid option -- Route interface: {0}, Option: {1}, Expected: [{2}]'
return msg.format(iface, option, expected)
def _error_msg_network(option, expected):
'''
Build an appropriate error message from a given option and
a list of expected values.
'''
msg = 'Invalid network setting -- Setting: {0}, Expected: [{1}]'
return msg.format(option, '|'.join(expected))
def _raise_error_iface(iface, option, expected):
'''
Log and raise an error with a logical formatted message.
'''
msg = _error_msg_iface(iface, option, expected)
log.error(msg)
raise AttributeError(msg)
def _raise_error_network(option, expected):
'''
Log and raise an error with a logical formatted message.
'''
msg = _error_msg_network(option, expected)
log.error(msg)
raise AttributeError(msg)
def _raise_error_routes(iface, option, expected):
'''
Log and raise an error with a logical formatted message.
'''
msg = _error_msg_routes(iface, option, expected)
log.error(msg)
raise AttributeError(msg)
def _read_file(path):
'''
Reads and returns the contents of a text file
'''
try:
with salt.utils.flopen(path, 'rb') as contents:
return [salt.utils.to_str(line) for line in contents.readlines()]
except (OSError, IOError):
return ''
def _parse_resolve():
'''
Parse /etc/resolv.conf and return domainname
'''
contents = _read_file(_DEB_RESOLV_FILE)
return contents
def _parse_domainname():
'''
Parse /etc/resolv.conf and return domainname
'''
contents = _read_file(_DEB_RESOLV_FILE)
pattern = r'domain\s+(?P<domain_name>\S+)'
prog = re.compile(pattern)
for item in contents:
match = prog.match(item)
if match:
return match.group('domain_name')
return ''
def _parse_searchdomain():
'''
Parse /etc/resolv.conf and return searchdomain
'''
contents = _read_file(_DEB_RESOLV_FILE)
pattern = r'search\s+(?P<search_domain>\S+)'
prog = re.compile(pattern)
for item in contents:
match = prog.match(item)
if match:
return match.group('search_domain')
return ''
def _parse_hostname():
'''
Parse /etc/hostname and return hostname
'''
contents = _read_file(_DEB_HOSTNAME_FILE)
if contents:
return contents[0].split('\n')[0]
else:
return ''
def _parse_current_network_settings():
'''
Parse /etc/default/networking and return current configuration
'''
opts = salt.utils.odict.OrderedDict()
opts['networking'] = ''
if os.path.isfile(_DEB_NETWORKING_FILE):
with salt.utils.fopen(_DEB_NETWORKING_FILE) as contents:
for line in contents:
if line.startswith('#'):
continue
elif line.startswith('CONFIGURE_INTERFACES'):
opts['networking'] = line.split('=', 1)[1].strip()
hostname = _parse_hostname()
domainname = _parse_domainname()
searchdomain = _parse_searchdomain()
opts['hostname'] = hostname
opts['domainname'] = domainname
opts['searchdomain'] = searchdomain
return opts
# def __validator_func(value):
# return (valid: True/False, (transformed) value, error message)
def __ipv4_quad(value):
'''validate an IPv4 address'''
return (salt.utils.validate.net.ipv4_addr(value), value,
'dotted IPv4 address')
def __ipv6(value):
'''validate an IPv6 address'''
return (salt.utils.validate.net.ipv6_addr(value), value,
'IPv6 address')
def __mac(value):
'''validate a mac address'''
return (salt.utils.validate.net.mac(value), value,
'MAC address')
def __int(value):
'''validate an integer'''
valid, _value = False, value
try:
_value = int(value)
valid = True
except ValueError:
pass
return (valid, _value, 'integer')
def __float(value):
'''validate a float'''
valid, _value = False, value
try:
_value = float(value)
valid = True
except ValueError:
pass
return (valid, _value, 'float')
def __ipv4_netmask(value):
'''validate an IPv4 dotted quad or integer CIDR netmask'''
valid, errmsg = False, 'dotted quad or integer CIDR (0->32)'
valid, value, _ = __int(value)
if not (valid and 0 <= value <= 32):
valid = salt.utils.validate.net.netmask(value)
return (valid, value, errmsg)
def __ipv6_netmask(value):
'''validate an IPv6 integer netmask'''
valid, errmsg = False, 'IPv6 netmask (0->128)'
valid, value, _ = __int(value)
valid = (valid and 0 <= value <= 128)
return (valid, value, errmsg)
def __within2(value, within=None, errmsg=None, dtype=None):
'''validate that a value is in ``within`` and optionally a ``dtype``'''
valid, _value = False, value
if dtype:
try:
_value = dtype(value) # TODO: this is a bit loose when dtype is a class
valid = _value in within
except ValueError:
pass
else:
valid = _value in within
if errmsg is None:
if dtype:
typename = getattr(dtype, '__name__',
hasattr(dtype, '__class__')
and getattr(dtype.__class__, 'name', dtype))
errmsg = '{0} within \'{1}\''.format(typename, within)
else:
errmsg = 'within \'{0}\''.format(within)
return (valid, _value, errmsg)
def __space_delimited_list(value):
'''validate that a value contains one or more space-delimited values'''
valid, _value, errmsg = False, value, 'space-delimited string'
try:
if hasattr(value, '__iter__'):
valid = True # TODO:
else:
_value = value.split()
if _value == []:
raise ValueError
valid = True
except AttributeError:
pass
except ValueError:
pass
return (valid, _value, errmsg)
SALT_ATTR_TO_DEBIAN_ATTR_MAP = {
'dns': 'dns-nameservers',
'search': 'dns-search',
'hwaddr': 'hwaddress', # TODO: this limits bootp functionality
'ipaddr': 'address',
}
DEBIAN_ATTR_TO_SALT_ATTR_MAP = dict(
(v, k) for (k, v) in six.iteritems(SALT_ATTR_TO_DEBIAN_ATTR_MAP))
# TODO
DEBIAN_ATTR_TO_SALT_ATTR_MAP['address'] = 'address'
DEBIAN_ATTR_TO_SALT_ATTR_MAP['hwaddress'] = 'hwaddress'
IPV4_VALID_PROTO = ['bootp', 'dhcp', 'static', 'manual', 'loopback', 'ppp']
IPV4_ATTR_MAP = {
'proto': __within(IPV4_VALID_PROTO, dtype=str),
# ipv4 static & manual
'address': __ipv4_quad,
'netmask': __ipv4_netmask,
'broadcast': __ipv4_quad,
'metric': __int,
'gateway': __ipv4_quad, # supports a colon-delimited list
'pointopoint': __ipv4_quad,
'hwaddress': __mac,
'mtu': __int,
'scope': __within(['global', 'link', 'host'], dtype=str),
# dhcp
'hostname': __anything,
'leasehours': __int,
'leasetime': __int,
'vendor': __anything,
'client': __anything,
# bootp
'bootfile': __anything,
'server': __ipv4_quad,
'hwaddr': __mac,
# tunnel
'mode': __within(['gre', 'GRE', 'ipip', 'IPIP', '802.3ad'], dtype=str),
'endpoint': __ipv4_quad,
'dstaddr': __ipv4_quad,
'local': __ipv4_quad,
'ttl': __int,
# bond
'slaves': __anything,
# ppp
'provider': __anything,
'unit': __int,
'options': __anything,
# resolvconf
'dns-nameservers': __space_delimited_list,
'dns-search': __space_delimited_list,
#
'vlan-raw-device': __anything,
#
'network': __anything, # i don't know what this is
'test': __anything, # TODO
'enable_ipv6': __anything, # TODO
}
IPV6_VALID_PROTO = ['auto', 'loopback', 'static', 'manual',
'dhcp', 'v4tunnel', '6to4']
IPV6_ATTR_MAP = {
'proto': __within(IPV6_VALID_PROTO),
# ipv6 static & manual
'address': __ipv6,
'netmask': __ipv6_netmask,
'broadcast': __ipv6,
'gateway': __ipv6, # supports a colon-delimited list
'hwaddress': __mac,
'mtu': __int,
'scope': __within(['global', 'site', 'link', 'host'], dtype=str),
# inet6 auto
'privext': __within([0, 1, 2], dtype=int),
'dhcp': __within([0, 1], dtype=int),
# inet6 static & manual & dhcp
'media': __anything,
'accept_ra': __within([0, 1], dtype=int),
'autoconf': __within([0, 1], dtype=int),
'preferred-lifetime': __int,
'dad-attempts': __int, # 0 to disable
'dad-interval': __float,
# bond
'slaves': __anything,
# tunnel
'mode': __within(['gre', 'GRE', 'ipip', 'IPIP', '802.3ad'], dtype=str),
'endpoint': __ipv4_quad,
'local': __ipv4_quad,
'ttl': __int,
# resolvconf
'dns-nameservers': __space_delimited_list,
'dns-search': __space_delimited_list,
#
'vlan-raw-device': __anything,
'test': __anything, # TODO
'enable_ipv6': __anything, # TODO
}
WIRELESS_ATTR_MAP = {
'wireless-essid': __anything,
'wireless-mode': __anything, # TODO
'wpa-ap-scan': __within([0, 1, 2], dtype=int), # TODO
'wpa-conf': __anything,
'wpa-driver': __anything,
'wpa-group': __anything,
'wpa-key-mgmt': __anything,
'wpa-pairwise': __anything,
'wpa-psk': __anything,
'wpa-proto': __anything, # partial(__within,
'wpa-roam': __anything,
'wpa-ssid': __anything, # TODO
}
ATTRMAPS = {
'inet': [IPV4_ATTR_MAP, WIRELESS_ATTR_MAP],
'inet6': [IPV6_ATTR_MAP, WIRELESS_ATTR_MAP]
}
def _validate_interface_option(attr, value, addrfam='inet'):
'''lookup the validation function for a [addrfam][attr] and
return the results
:param attr: attribute name
:param value: raw setting value
:param addrfam: address family (inet, inet6,
'''
valid, _value, errmsg = False, value, 'Unknown validator'
attrmaps = ATTRMAPS.get(addrfam, [])
for attrmap in attrmaps:
if attr in attrmap:
validate_func = attrmap[attr]
(valid, _value, errmsg) = validate_func(value)
break
return (valid, _value, errmsg)
def _parse_interfaces(interface_files=None):
'''
Parse /etc/network/interfaces and return current configured interfaces
'''
if interface_files is None:
interface_files = []
# Add this later.
if os.path.exists(_DEB_NETWORK_DIR):
interface_files += ['{0}/{1}'.format(_DEB_NETWORK_DIR, dir) for dir in os.listdir(_DEB_NETWORK_DIR)]
if os.path.isfile(_DEB_NETWORK_FILE):
interface_files.insert(0, _DEB_NETWORK_FILE)
adapters = salt.utils.odict.OrderedDict()
method = -1
for interface_file in interface_files:
with salt.utils.fopen(interface_file) as interfaces:
# This ensures iface_dict exists, but does not ensure we're not reading a new interface.
iface_dict = {}
for line in interfaces:
# Identify the clauses by the first word of each line.
# Go to the next line if the current line is a comment
# or all spaces.
if line.lstrip().startswith('#') or line.isspace():
continue
# Parse the iface clause
if line.startswith('iface'):
sline = line.split()
if len(sline) != 4:
msg = 'Interface file malformed: {0}.'
msg = msg.format(sline)
log.error(msg)
raise AttributeError(msg)
iface_name = sline[1]
addrfam = sline[2]
method = sline[3]
# Create item in dict, if not already there
if iface_name not in adapters:
adapters[iface_name] = salt.utils.odict.OrderedDict()
# Create item in dict, if not already there
if 'data' not in adapters[iface_name]:
adapters[iface_name]['data'] = salt.utils.odict.OrderedDict()
if addrfam not in adapters[iface_name]['data']:
adapters[iface_name]['data'][addrfam] = salt.utils.odict.OrderedDict()
iface_dict = adapters[iface_name]['data'][addrfam]
iface_dict['addrfam'] = addrfam
iface_dict['proto'] = method
iface_dict['filename'] = interface_file
# Parse the detail clauses.
elif line[0].isspace():
sline = line.split()
# conf file attr: dns-nameservers
# salt states.network attr: dns
attr, valuestr = line.rstrip().split(None, 1)
if _attrmaps_contain_attr(attr):
if '-' in attr:
attrname = attr.replace('-', '_')
else:
attrname = attr
(valid, value, errmsg) = _validate_interface_option(
attr, valuestr, addrfam)
iface_dict[attrname] = value
elif attr in _REV_ETHTOOL_CONFIG_OPTS:
if 'ethtool' not in iface_dict:
iface_dict['ethtool'] = salt.utils.odict.OrderedDict()
iface_dict['ethtool'][attr] = valuestr
elif attr.startswith('bond'):
opt = re.split(r'[_-]', attr, maxsplit=1)[1]
if 'bonding' not in iface_dict:
iface_dict['bonding'] = salt.utils.odict.OrderedDict()
iface_dict['bonding'][opt] = valuestr
elif attr.startswith('bridge'):
opt = re.split(r'[_-]', attr, maxsplit=1)[1]
if 'bridging' not in iface_dict:
iface_dict['bridging'] = salt.utils.odict.OrderedDict()
iface_dict['bridging'][opt] = valuestr
elif attr in ['up', 'pre-up', 'post-up',
'down', 'pre-down', 'post-down']:
cmd = valuestr
cmd_key = '{0}_cmds'.format(re.sub('-', '_', attr))
if cmd_key not in iface_dict:
iface_dict[cmd_key] = []
iface_dict[cmd_key].append(cmd)
elif line.startswith('auto'):
for word in line.split()[1:]:
if word not in adapters:
adapters[word] = salt.utils.odict.OrderedDict()
adapters[word]['enabled'] = True
elif line.startswith('allow-hotplug'):
for word in line.split()[1:]:
if word not in adapters:
adapters[word] = salt.utils.odict.OrderedDict()
adapters[word]['hotplug'] = True
elif line.startswith('source'):
if 'source' not in adapters:
adapters['source'] = salt.utils.odict.OrderedDict()
# Create item in dict, if not already there
if 'data' not in adapters['source']:
adapters['source']['data'] = salt.utils.odict.OrderedDict()
adapters['source']['data']['sources'] = []
adapters['source']['data']['sources'].append(line.split()[1])
# Return a sorted list of the keys for bond, bridge and ethtool options to
# ensure a consistent order
for iface_name in adapters:
if iface_name == 'source':
continue
if 'data' not in adapters[iface_name]:
msg = 'Interface file malformed for interface: {0}.'.format(iface_name)
log.error(msg)
adapters.pop(iface_name)
continue
for opt in ['ethtool', 'bonding', 'bridging']:
if 'inet' in adapters[iface_name]['data']:
if opt in adapters[iface_name]['data']['inet']:
opt_keys = sorted(adapters[iface_name]['data']['inet'][opt].keys())
adapters[iface_name]['data']['inet'][opt + '_keys'] = opt_keys
return adapters
def _parse_ethtool_opts(opts, iface):
'''
Filters given options and outputs valid settings for ETHTOOLS_OPTS
If an option has a value that is not expected, this
function will log what the Interface, Setting and what it was
expecting.
'''
config = {}
if 'autoneg' in opts:
if opts['autoneg'] in _CONFIG_TRUE:
config.update({'autoneg': 'on'})
elif opts['autoneg'] in _CONFIG_FALSE:
config.update({'autoneg': 'off'})
else:
_raise_error_iface(iface, 'autoneg', _CONFIG_TRUE + _CONFIG_FALSE)
if 'duplex' in opts:
valid = ['full', 'half']
if opts['duplex'] in valid:
config.update({'duplex': opts['duplex']})
else:
_raise_error_iface(iface, 'duplex', valid)
if 'speed' in opts:
valid = ['10', '100', '1000', '10000']
if str(opts['speed']) in valid:
config.update({'speed': opts['speed']})
else:
_raise_error_iface(iface, opts['speed'], valid)
valid = _CONFIG_TRUE + _CONFIG_FALSE
for option in ('rx', 'tx', 'sg', 'tso', 'ufo', 'gso', 'gro', 'lro'):
if option in opts:
if opts[option] in _CONFIG_TRUE:
config.update({option: 'on'})
elif opts[option] in _CONFIG_FALSE:
config.update({option: 'off'})
else:
_raise_error_iface(iface, option, valid)
return config
def _parse_ethtool_pppoe_opts(opts, iface):
'''
Filters given options and outputs valid settings for ETHTOOLS_PPPOE_OPTS
If an option has a value that is not expected, this
function will log what the Interface, Setting and what it was
expecting.
'''
config = {}
for opt in _DEB_CONFIG_PPPOE_OPTS:
if opt in opts:
config[opt] = opts[opt]
if 'provider' in opts and not opts['provider']:
_raise_error_iface(iface, 'provider', _CONFIG_TRUE + _CONFIG_FALSE)
valid = _CONFIG_TRUE + _CONFIG_FALSE
for option in ('noipdefault', 'usepeerdns', 'defaultroute', 'hide-password', 'noauth', 'persist', 'noaccomp'):
if option in opts:
if opts[option] in _CONFIG_TRUE:
config.update({option: 'True'})
elif opts[option] in _CONFIG_FALSE:
config.update({option: 'False'})
else:
_raise_error_iface(iface, option, valid)
return config
def _parse_settings_bond(opts, iface):
'''
Filters given options and outputs valid settings for requested
operation. If an option has a value that is not expected, this
function will log what the Interface, Setting and what it was
expecting.
'''
bond_def = {
# 803.ad aggregation selection logic
# 0 for stable (default)
# 1 for bandwidth
# 2 for count
'ad_select': '0',
# Max number of transmit queues (default = 16)
'tx_queues': '16',
# Link monitoring in milliseconds. Most NICs support this
'miimon': '100',
# ARP interval in milliseconds
'arp_interval': '250',
# Delay before considering link down in milliseconds (miimon * 2)
'downdelay': '200',
# lacp_rate 0: Slow - every 30 seconds
# lacp_rate 1: Fast - every 1 second
'lacp_rate': '0',
# Max bonds for this driver
'max_bonds': '1',
# Specifies the time, in milliseconds, to wait before
# enabling a slave after a link recovery has been
# detected. Only used with miimon.
'updelay': '0',
# Used with miimon.
# On: driver sends mii
# Off: ethtool sends mii
'use_carrier': 'on',
# Default. Don't change unless you know what you are doing.
'xmit_hash_policy': 'layer2',
}
if opts['mode'] in ['balance-rr', '0']:
log.info(
'Device: {0} Bonding Mode: load balancing (round-robin)'.format(
iface
)
)
return _parse_settings_bond_0(opts, iface, bond_def)
elif opts['mode'] in ['active-backup', '1']:
log.info(
'Device: {0} Bonding Mode: fault-tolerance (active-backup)'.format(
iface
)
)
return _parse_settings_bond_1(opts, iface, bond_def)
elif opts['mode'] in ['balance-xor', '2']:
log.info(
'Device: {0} Bonding Mode: load balancing (xor)'.format(iface)
)
return _parse_settings_bond_2(opts, iface, bond_def)
elif opts['mode'] in ['broadcast', '3']:
log.info(
'Device: {0} Bonding Mode: fault-tolerance (broadcast)'.format(
iface
)
)
return _parse_settings_bond_3(opts, iface, bond_def)
elif opts['mode'] in ['802.3ad', '4']:
log.info(
'Device: {0} Bonding Mode: IEEE 802.3ad Dynamic link '
'aggregation'.format(iface)
)
return _parse_settings_bond_4(opts, iface, bond_def)
elif opts['mode'] in ['balance-tlb', '5']:
log.info(
'Device: {0} Bonding Mode: transmit load balancing'.format(iface)
)
return _parse_settings_bond_5(opts, iface, bond_def)
elif opts['mode'] in ['balance-alb', '6']:
log.info(
'Device: {0} Bonding Mode: adaptive load balancing'.format(iface)
)
return _parse_settings_bond_6(opts, iface, bond_def)
else:
valid = [
'0', '1', '2', '3', '4', '5', '6',
'balance-rr', 'active-backup', 'balance-xor',
'broadcast', '802.3ad', 'balance-tlb', 'balance-alb'
]
_raise_error_iface(iface, 'mode', valid)
def _parse_settings_bond_0(opts, iface, bond_def):
'''
Filters given options and outputs valid settings for bond0.
If an option has a value that is not expected, this
function will log what the Interface, Setting and what it was
expecting.
'''
bond = {'mode': '0'}
# ARP targets in n.n.n.n form
valid = ['list of ips (up to 16)']
if 'arp_ip_target' in opts:
if isinstance(opts['arp_ip_target'], list):
if 1 <= len(opts['arp_ip_target']) <= 16:
bond.update({'arp_ip_target': ''})
for ip in opts['arp_ip_target']: # pylint: disable=C0103
if len(bond['arp_ip_target']) > 0:
bond['arp_ip_target'] = bond['arp_ip_target'] + ',' + ip
else:
bond['arp_ip_target'] = ip
else:
_raise_error_iface(iface, 'arp_ip_target', valid)
else:
_raise_error_iface(iface, 'arp_ip_target', valid)
else:
_raise_error_iface(iface, 'arp_ip_target', valid)
if 'arp_interval' in opts:
try:
int(opts['arp_interval'])
bond.update({'arp_interval': opts['arp_interval']})
except ValueError:
_raise_error_iface(iface, 'arp_interval', ['integer'])
else:
_log_default_iface(iface, 'arp_interval', bond_def['arp_interval'])
bond.update({'arp_interval': bond_def['arp_interval']})
return bond
def _parse_settings_bond_1(opts, iface, bond_def):
'''
Filters given options and outputs valid settings for bond1.
If an option has a value that is not expected, this
function will log what the Interface, Setting and what it was
expecting.
'''
bond = {'mode': '1'}
for binding in ['miimon', 'downdelay', 'updelay']:
if binding in opts:
try:
int(opts[binding])
bond.update({binding: opts[binding]})
except ValueError:
_raise_error_iface(iface, binding, ['integer'])
else:
_log_default_iface(iface, binding, bond_def[binding])
bond.update({binding: bond_def[binding]})
if 'primary' in opts:
bond.update({'primary': opts['primary']})
if not (__grains__['os'] == "Ubuntu" and __grains__['osrelease_info'][0] >= 16):
if 'use_carrier' in opts:
if opts['use_carrier'] in _CONFIG_TRUE:
bond.update({'use_carrier': '1'})
elif opts['use_carrier'] in _CONFIG_FALSE:
bond.update({'use_carrier': '0'})
else:
valid = _CONFIG_TRUE + _CONFIG_FALSE
_raise_error_iface(iface, 'use_carrier', valid)
else:
_log_default_iface(iface, 'use_carrier', bond_def['use_carrier'])
bond.update({'use_carrier': bond_def['use_carrier']})
return bond
def _parse_settings_bond_2(opts, iface, bond_def):
'''
Filters given options and outputs valid settings for bond2.
If an option has a value that is not expected, this
function will log what the Interface, Setting and what it was
expecting.
'''
bond = {'mode': '2'}
valid = ['list of ips (up to 16)']
if 'arp_ip_target' in opts:
if isinstance(opts['arp_ip_target'], list):
if 1 <= len(opts['arp_ip_target']) <= 16:
bond.update({'arp_ip_target': ''})
for ip in opts['arp_ip_target']: # pylint: disable=C0103
if len(bond['arp_ip_target']) > 0:
bond['arp_ip_target'] = bond['arp_ip_target'] + ',' + ip
else:
bond['arp_ip_target'] = ip
else:
_raise_error_iface(iface, 'arp_ip_target', valid)
else:
_raise_error_iface(iface, 'arp_ip_target', valid)
else:
_raise_error_iface(iface, 'arp_ip_target', valid)
if 'arp_interval' in opts:
try:
int(opts['arp_interval'])
bond.update({'arp_interval': opts['arp_interval']})
except ValueError:
_raise_error_iface(iface, 'arp_interval', ['integer'])
else:
_log_default_iface(iface, 'arp_interval', bond_def['arp_interval'])
bond.update({'arp_interval': bond_def['arp_interval']})
if 'hashing-algorithm' in opts:
valid = ['layer2', 'layer2+3', 'layer3+4']
if opts['hashing-algorithm'] in valid:
bond.update({'xmit_hash_policy': opts['hashing-algorithm']})
else:
_raise_error_iface(iface, 'hashing-algorithm', valid)
return bond
def _parse_settings_bond_3(opts, iface, bond_def):
'''
Filters given options and outputs valid settings for bond3.
If an option has a value that is not expected, this
function will log what the Interface, Setting and what it was
expecting.
'''
bond = {'mode': '3'}
for binding in ['miimon', 'downdelay', 'updelay']:
if binding in opts:
try:
int(opts[binding])
bond.update({binding: opts[binding]})
except ValueError:
_raise_error_iface(iface, binding, ['integer'])
else:
_log_default_iface(iface, binding, bond_def[binding])
bond.update({binding: bond_def[binding]})
if 'use_carrier' in opts:
if opts['use_carrier'] in _CONFIG_TRUE:
bond.update({'use_carrier': '1'})
elif opts['use_carrier'] in _CONFIG_FALSE:
bond.update({'use_carrier': '0'})
else:
valid = _CONFIG_TRUE + _CONFIG_FALSE
_raise_error_iface(iface, 'use_carrier', valid)
else:
_log_default_iface(iface, 'use_carrier', bond_def['use_carrier'])
bond.update({'use_carrier': bond_def['use_carrier']})
return bond
def _parse_settings_bond_4(opts, iface, bond_def):
'''
Filters given options and outputs valid settings for bond4.
If an option has a value that is not expected, this
function will log what the Interface, Setting and what it was
expecting.
'''
bond = {'mode': '4'}
for binding in ['miimon', 'downdelay', 'updelay', 'lacp_rate', 'ad_select']:
if binding in opts:
if binding == 'lacp_rate':
if opts[binding] == 'fast':
opts.update({binding: '1'})
if opts[binding] == 'slow':
opts.update({binding: '0'})
valid = ['fast', '1', 'slow', '0']
else:
valid = ['integer']
try:
int(opts[binding])
bond.update({binding: opts[binding]})
except ValueError:
_raise_error_iface(iface, binding, valid)
else:
_log_default_iface(iface, binding, bond_def[binding])
bond.update({binding: bond_def[binding]})
if 'use_carrier' in opts:
if opts['use_carrier'] in _CONFIG_TRUE:
bond.update({'use_carrier': '1'})
elif opts['use_carrier'] in _CONFIG_FALSE:
bond.update({'use_carrier': '0'})
else:
valid = _CONFIG_TRUE + _CONFIG_FALSE
_raise_error_iface(iface, 'use_carrier', valid)
else:
_log_default_iface(iface, 'use_carrier', bond_def['use_carrier'])
bond.update({'use_carrier': bond_def['use_carrier']})
if 'hashing-algorithm' in opts:
valid = ['layer2', 'layer2+3', 'layer3+4']
if opts['hashing-algorithm'] in valid:
bond.update({'xmit_hash_policy': opts['hashing-algorithm']})
else:
_raise_error_iface(iface, 'hashing-algorithm', valid)
return bond
def _parse_settings_bond_5(opts, iface, bond_def):
'''
Filters given options and outputs valid settings for bond5.
If an option has a value that is not expected, this
function will log what the Interface, Setting and what it was
expecting.
'''
bond = {'mode': '5'}
for binding in ['miimon', 'downdelay', 'updelay']:
if binding in opts:
try:
int(opts[binding])
bond.update({binding: opts[binding]})
except ValueError:
_raise_error_iface(iface, binding, ['integer'])
else:
_log_default_iface(iface, binding, bond_def[binding])
bond.update({binding: bond_def[binding]})
if 'use_carrier' in opts:
if opts['use_carrier'] in _CONFIG_TRUE:
bond.update({'use_carrier': '1'})
elif opts['use_carrier'] in _CONFIG_FALSE:
bond.update({'use_carrier': '0'})
else:
valid = _CONFIG_TRUE + _CONFIG_FALSE
_raise_error_iface(iface, 'use_carrier', valid)
else:
_log_default_iface(iface, 'use_carrier', bond_def['use_carrier'])
bond.update({'use_carrier': bond_def['use_carrier']})
if 'primary' in opts:
bond.update({'primary': opts['primary']})
return bond
def _parse_settings_bond_6(opts, iface, bond_def):
'''
Filters given options and outputs valid settings for bond6.
If an option has a value that is not expected, this
function will log what the Interface, Setting and what it was
expecting.
'''
bond = {'mode': '6'}
for binding in ['miimon', 'downdelay', 'updelay']:
if binding in opts:
try:
int(opts[binding])
bond.update({binding: opts[binding]})
except ValueError:
_raise_error_iface(iface, binding, ['integer'])
else:
_log_default_iface(iface, binding, bond_def[binding])
bond.update({binding: bond_def[binding]})
if 'use_carrier' in opts:
if opts['use_carrier'] in _CONFIG_TRUE:
bond.update({'use_carrier': '1'})
elif opts['use_carrier'] in _CONFIG_FALSE:
bond.update({'use_carrier': '0'})
else:
valid = _CONFIG_TRUE + _CONFIG_FALSE
_raise_error_iface(iface, 'use_carrier', valid)
else:
_log_default_iface(iface, 'use_carrier', bond_def['use_carrier'])
bond.update({'use_carrier': bond_def['use_carrier']})
if 'primary' in opts:
bond.update({'primary': opts['primary']})
return bond
def _parse_bridge_opts(opts, iface):
'''
Filters given options and outputs valid settings for BRIDGING_OPTS
If an option has a value that is not expected, this
function will log the Interface, Setting and what was expected.
'''
config = {}
if 'ports' in opts:
if isinstance(opts['ports'], list):
opts['ports'] = ' '.join(opts['ports'])
config.update({'ports': opts['ports']})
for opt in ['ageing', 'fd', 'gcint', 'hello', 'maxage']:
if opt in opts:
try:
float(opts[opt])
config.update({opt: opts[opt]})
except ValueError:
_raise_error_iface(iface, opt, ['float'])
for opt in ['bridgeprio', 'maxwait']:
if opt in opts:
if isinstance(opts[opt], int):
config.update({opt: opts[opt]})
else:
_raise_error_iface(iface, opt, ['integer'])
if 'hw' in opts:
# match 12 hex digits with either : or - as separators between pairs
if re.match('[0-9a-f]{2}([-:])[0-9a-f]{2}(\\1[0-9a-f]{2}){4}$',
opts['hw'].lower()):
config.update({'hw': opts['hw']})
else:
_raise_error_iface(iface, 'hw', ['valid MAC address'])
for opt in ['pathcost', 'portprio']:
if opt in opts:
try:
port, cost_or_prio = opts[opt].split()
int(cost_or_prio)
config.update({opt: '{0} {1}'.format(port, cost_or_prio)})
except ValueError:
_raise_error_iface(iface, opt, ['interface integer'])
if 'stp' in opts:
if opts['stp'] in _CONFIG_TRUE:
config.update({'stp': 'on'})
elif opts['stp'] in _CONFIG_FALSE:
config.update({'stp': 'off'})
else:
_raise_error_iface(iface, 'stp', _CONFIG_TRUE + _CONFIG_FALSE)
if 'waitport' in opts:
if isinstance(opts['waitport'], int):
config.update({'waitport': opts['waitport']})
else:
values = opts['waitport'].split()
waitport_time = values.pop(0)
if waitport_time.isdigit() and values:
config.update({
'waitport': '{0} {1}'.format(
waitport_time, ' '.join(values)
)
})
else:
_raise_error_iface(iface, opt, ['integer [interfaces]'])
return config
def _parse_settings_eth(opts, iface_type, enabled, iface):
'''
Filters given options and outputs valid settings for a
network interface.
'''
adapters = salt.utils.odict.OrderedDict()
adapters[iface] = salt.utils.odict.OrderedDict()
adapters[iface]['type'] = iface_type
adapters[iface]['data'] = salt.utils.odict.OrderedDict()
iface_data = adapters[iface]['data']
iface_data['inet'] = salt.utils.odict.OrderedDict()
iface_data['inet6'] = salt.utils.odict.OrderedDict()
if enabled:
adapters[iface]['enabled'] = True
if opts.get('hotplug', False):
adapters[iface]['hotplug'] = True
# Defaults assume IPv4 (inet) interfaces unless enable_ipv6=True
def_addrfam = 'inet'
dual_stack = False
# If enable_ipv6=True, then expet either IPv6-only or dual stack.
if 'enable_ipv6' in opts and opts['enable_ipv6']:
iface_data['inet6']['addrfam'] = 'inet6'
iface_data['inet6']['netmask'] = '64' # defaults to 64
def_addrfam = 'inet6'
if 'iface_type' in opts and opts['iface_type'] == 'vlan':
iface_data['inet6']['vlan_raw_device'] = (
re.sub(r'\.\d*', '', iface))
if 'ipaddr' in opts and 'ipv6ipaddr' in opts:
# If both 'ipaddr' and 'ipv6ipaddr' are present; expect dual stack
iface_data['inet']['addrfam'] = 'inet'
def_addrfam = 'inet'
dual_stack = True
else:
# If enable_ipv6=False|None, IPv6 settings should not be set.
iface_data['inet']['addrfam'] = 'inet'
if iface_type not in ['bridge']:
tmp_ethtool = _parse_ethtool_opts(opts, iface)
if tmp_ethtool:
ethtool = {}
for item in tmp_ethtool:
ethtool[_ETHTOOL_CONFIG_OPTS[item]] = tmp_ethtool[item]
iface_data[def_addrfam]['ethtool'] = ethtool
# return a list of sorted keys to ensure consistent order
iface_data[def_addrfam]['ethtool_keys'] = sorted(ethtool)
if iface_type == 'bridge':
bridging = _parse_bridge_opts(opts, iface)
if bridging:
opts.pop('mode', None)
iface_data[def_addrfam]['bridging'] = bridging
iface_data[def_addrfam]['bridging_keys'] = sorted(bridging)
iface_data[def_addrfam]['addrfam'] = def_addrfam
elif iface_type == 'bond':
bonding = _parse_settings_bond(opts, iface)
if bonding:
opts.pop('mode', None)
iface_data[def_addrfam]['bonding'] = bonding
iface_data[def_addrfam]['bonding']['slaves'] = opts['slaves']
iface_data[def_addrfam]['bonding_keys'] = sorted(bonding)
iface_data[def_addrfam]['addrfam'] = def_addrfam
elif iface_type == 'slave':
adapters[iface]['master'] = opts['master']
opts['proto'] = 'manual'
iface_data[def_addrfam]['master'] = adapters[iface]['master']
iface_data[def_addrfam]['addrfam'] = def_addrfam
elif iface_type == 'vlan':
iface_data[def_addrfam]['vlan_raw_device'] = re.sub(r'\.\d*', '', iface)
iface_data[def_addrfam]['addrfam'] = def_addrfam
elif iface_type == 'pppoe':
tmp_ethtool = _parse_ethtool_pppoe_opts(opts, iface)
if tmp_ethtool:
for item in tmp_ethtool:
adapters[iface]['data'][def_addrfam][_DEB_CONFIG_PPPOE_OPTS[item]] = tmp_ethtool[item]
iface_data[def_addrfam]['addrfam'] = def_addrfam
for opt in opts:
# trim leading "ipv6" from option
if opt.startswith('ipv6'):
optname = opt[4:] # trim off the ipv6
v6only = True
else:
optname = opt
v6only = False
_optname = SALT_ATTR_TO_DEBIAN_ATTR_MAP.get(optname, optname)
if _attrmaps_contain_attr(_optname):
valuestr = opts[opt]
# default to 'static' if proto is 'none'
if optname == 'proto' and valuestr == 'none':
valuestr = 'static'
# If option is v6-only, don't validate against inet and always set value
if v6only:
(valid, value, errmsg) = _validate_interface_option(
_optname, valuestr, addrfam='inet6')
if not valid:
_raise_error_iface(iface, '\'{0}\' \'{1}\''.format(opt, valuestr), [errmsg])
# replace dashes with underscores for jinja
_optname = _optname.replace('-', '_')
iface_data['inet6'][_optname] = value
# Else, if it's a dual stack, the option may belong in both; apply v4 opt as v6 default
elif dual_stack:
valid_once = False
errmsg = None
for addrfam in ['inet', 'inet6']:
(valid, value, errmsg) = _validate_interface_option(
_optname, valuestr, addrfam=addrfam)
if valid:
valid_once = True
# replace dashes with underscores for jinja
_optname = _optname.replace('-', '_')
# if a v6-only version of this option was set; don't override
# otherwise, if dual stack, use the v4 version as a default value for v6
# allows overriding with =None
if addrfam == 'inet' or _optname not in iface_data['inet6']:
iface_data[addrfam][_optname] = value
if not valid_once:
_raise_error_iface(
iface,
'\'{0}\' \'{1}\''.format(opt, valuestr),
[errmsg]
)
# Else, it goes in the default(only) addrfam
# Not assuming v4 allows a v6 block to be created without lots of "ipv6" prefixes
else:
(valid, value, errmsg) = _validate_interface_option(
_optname, valuestr, addrfam=def_addrfam)
if not valid:
_raise_error_iface(
iface,
'\'{0}\' \'{1}\''.format(opt, valuestr),
[errmsg]
)
# replace dashes with underscores for jinja
_optname = _optname.replace('-', '_')
iface_data[def_addrfam][_optname] = value
for opt in ['up_cmds', 'pre_up_cmds', 'post_up_cmds',
'down_cmds', 'pre_down_cmds', 'post_down_cmds']:
if opt in opts:
iface_data['inet'][opt] = opts[opt]
for addrfam in ['inet', 'inet6']:
if 'addrfam' in iface_data[addrfam] and iface_data[addrfam]['addrfam'] == addrfam:
pass
else:
iface_data.pop(addrfam)
return adapters
def _parse_settings_source(opts, iface_type, enabled, iface):
'''
Filters given options and outputs valid settings for a
network interface.
'''
adapters = salt.utils.odict.OrderedDict()
adapters[iface] = salt.utils.odict.OrderedDict()
adapters[iface]['type'] = iface_type
adapters[iface]['data'] = salt.utils.odict.OrderedDict()
iface_data = adapters[iface]['data']
iface_data['sources'] = [opts['source']]
return adapters
def _parse_network_settings(opts, current):
'''
Filters given options and outputs valid settings for
the global network settings file.
'''
# Normalize keys
opts = dict((k.lower(), v) for (k, v) in six.iteritems(opts))
current = dict((k.lower(), v) for (k, v) in six.iteritems(current))
result = {}
valid = _CONFIG_TRUE + _CONFIG_FALSE
if 'enabled' not in opts:
try:
opts['networking'] = current['networking']
_log_default_network('networking', current['networking'])
except ValueError:
_raise_error_network('networking', valid)
else:
opts['networking'] = opts['enabled']
if opts['networking'] in valid:
if opts['networking'] in _CONFIG_TRUE:
result['networking'] = 'yes'
elif opts['networking'] in _CONFIG_FALSE:
result['networking'] = 'no'
else:
_raise_error_network('networking', valid)
if 'hostname' not in opts:
try:
opts['hostname'] = current['hostname']
_log_default_network('hostname', current['hostname'])
except ValueError:
_raise_error_network('hostname', ['server1.example.com'])
if opts['hostname']:
result['hostname'] = opts['hostname']
else:
_raise_error_network('hostname', ['server1.example.com'])
if 'search' in opts:
result['search'] = opts['search']
return result
def _parse_routes(iface, opts):
'''
Filters given options and outputs valid settings for
the route settings file.
'''
# Normalize keys
opts = dict((k.lower(), v) for (k, v) in six.iteritems(opts))
result = {}
if 'routes' not in opts:
_raise_error_routes(iface, 'routes', 'List of routes')
for opt in opts:
result[opt] = opts[opt]
return result
def _write_file(iface, data, folder, pattern):
'''
Writes a file to disk
'''
filename = os.path.join(folder, pattern.format(iface))
if not os.path.exists(folder):
msg = '{0} cannot be written. {1} does not exist'
msg = msg.format(filename, folder)
log.error(msg)
raise AttributeError(msg)
with salt.utils.flopen(filename, 'w') as fout:
fout.write(data)
return filename
def _write_file_routes(iface, data, folder, pattern):
'''
Writes a file to disk
'''
filename = os.path.join(folder, pattern.format(iface))
if not os.path.exists(folder):
msg = '{0} cannot be written. {1} does not exist'
msg = msg.format(filename, folder)
log.error(msg)
raise AttributeError(msg)
with salt.utils.flopen(filename, 'w') as fout:
fout.write(data)
__salt__['file.set_mode'](filename, '0755')
return filename
def _write_file_network(data, filename, create=False):
'''
Writes a file to disk
If file does not exist, only create if create
argument is True
'''
if not os.path.exists(filename) and not create:
msg = '{0} cannot be written. {0} does not exist\
and create is set to False'
msg = msg.format(filename)
log.error(msg)
raise AttributeError(msg)
with salt.utils.flopen(filename, 'w') as fout:
fout.write(data)
def _read_temp(data):
'''
Return what would be written to disk
'''
tout = StringIO()
tout.write(data)
tout.seek(0)
output = tout.readlines()
tout.close()
return output
def _read_temp_ifaces(iface, data):
'''
Return what would be written to disk for interfaces
'''
try:
template = JINJA.get_template('debian_eth.jinja')
except jinja2.exceptions.TemplateNotFound:
log.error('Could not load template debian_eth.jinja')
return ''
ifcfg = template.render({'name': iface, 'data': data})
# Return as a array so the difflib works
return [item + '\n' for item in ifcfg.split('\n')]
def _write_file_ifaces(iface, data, **settings):
'''
Writes a file to disk
'''
try:
eth_template = JINJA.get_template('debian_eth.jinja')
source_template = JINJA.get_template('debian_source.jinja')
except jinja2.exceptions.TemplateNotFound:
log.error('Could not load template debian_eth.jinja')
return ''
# Read /etc/network/interfaces into a dict
adapters = _parse_interfaces()
# Apply supplied settings over on-disk settings
adapters[iface] = data
ifcfg = ''
for adapter in adapters:
if 'type' in adapters[adapter] and adapters[adapter]['type'] == 'source':
tmp = source_template.render({'name': adapter, 'data': adapters[adapter]})
else:
tmp = eth_template.render({'name': adapter, 'data': adapters[adapter]})
ifcfg = ifcfg + tmp
if adapter == iface:
saved_ifcfg = tmp
_SEPERATE_FILE = False
if 'filename' in settings:
if not settings['filename'].startswith('/'):
filename = '{0}/{1}'.format(_DEB_NETWORK_DIR, settings['filename'])
else:
filename = settings['filename']
_SEPERATE_FILE = True
else:
if 'filename' in adapters[adapter]['data']:
filename = adapters[adapter]['data']
else:
filename = _DEB_NETWORK_FILE
if not os.path.exists(os.path.dirname(filename)):
msg = '{0} cannot be written.'
msg = msg.format(os.path.dirname(filename))
log.error(msg)
raise AttributeError(msg)
with salt.utils.flopen(filename, 'w') as fout:
if _SEPERATE_FILE:
fout.write(saved_ifcfg)
else:
fout.write(ifcfg)
# Return as a array so the difflib works
return saved_ifcfg.split('\n')
def _write_file_ppp_ifaces(iface, data):
'''
Writes a file to disk
'''
try:
template = JINJA.get_template('debian_ppp_eth.jinja')
except jinja2.exceptions.TemplateNotFound:
log.error('Could not load template debian_ppp_eth.jinja')
return ''
adapters = _parse_interfaces()
adapters[iface] = data
ifcfg = ''
tmp = template.render({'data': adapters[iface]})
ifcfg = tmp + ifcfg
filename = _DEB_PPP_DIR + '/' + adapters[iface]['data']['inet']['provider']
if not os.path.exists(os.path.dirname(filename)):
msg = '{0} cannot be written.'
msg = msg.format(os.path.dirname(filename))
log.error(msg)
raise AttributeError(msg)
with salt.utils.fopen(filename, 'w') as fout:
fout.write(ifcfg)
# Return as a array so the difflib works
return filename
def build_bond(iface, **settings):
'''
Create a bond script in /etc/modprobe.d with the passed settings
and load the bonding kernel module.
CLI Example:
.. code-block:: bash
salt '*' ip.build_bond bond0 mode=balance-alb
'''
deb_major = __grains__['osrelease'][:1]
opts = _parse_settings_bond(settings, iface)
try:
template = JINJA.get_template('conf.jinja')
except jinja2.exceptions.TemplateNotFound:
log.error('Could not load template conf.jinja')
return ''
data = template.render({'name': iface, 'bonding': opts})
if 'test' in settings and settings['test']:
return _read_temp(data)
_write_file(iface, data, _DEB_NETWORK_CONF_FILES, '{0}.conf'.format(iface))
path = os.path.join(_DEB_NETWORK_CONF_FILES, '{0}.conf'.format(iface))
if deb_major == '5':
for line_type in ('alias', 'options'):
cmd = ['sed', '-i', '-e', r'/^{0}\s{1}.*/d'.format(line_type, iface),
'/etc/modprobe.conf']
__salt__['cmd.run'](cmd, python_shell=False)
__salt__['file.append']('/etc/modprobe.conf', path)
# Load kernel module
__salt__['kmod.load']('bonding')
# install ifenslave-2.6
__salt__['pkg.install']('ifenslave-2.6')
return _read_file(path)
def build_interface(iface, iface_type, enabled, **settings):
'''
Build an interface script for a network interface.
CLI Example:
.. code-block:: bash
salt '*' ip.build_interface eth0 eth <settings>
'''
iface = iface.lower()
iface_type = iface_type.lower()
if iface_type not in _IFACE_TYPES:
_raise_error_iface(iface, iface_type, _IFACE_TYPES)
if 'proto' not in settings:
settings['proto'] = 'static'
if iface_type == 'slave':
settings['slave'] = 'yes'
if 'master' not in settings:
msg = 'master is a required setting for slave interfaces'
log.error(msg)
raise AttributeError(msg)
elif iface_type == 'vlan':
settings['vlan'] = 'yes'
__salt__['pkg.install']('vlan')
elif iface_type == 'pppoe':
settings['pppoe'] = 'yes'
if not __salt__['pkg.version']('ppp'):
inst = __salt__['pkg.install']('ppp')
elif iface_type == 'bond':
if 'slaves' not in settings:
msg = 'slaves is a required setting for bond interfaces'
log.error(msg)
raise AttributeError(msg)
elif iface_type == 'bridge':
if 'ports' not in settings:
msg = (
'ports is a required setting for bridge interfaces on Debian '
'or Ubuntu based systems'
)
log.error(msg)
raise AttributeError(msg)
__salt__['pkg.install']('bridge-utils')
if iface_type in ['eth', 'bond', 'bridge', 'slave', 'vlan', 'pppoe']:
opts = _parse_settings_eth(settings, iface_type, enabled, iface)
if iface_type in ['source']:
opts = _parse_settings_source(settings, iface_type, enabled, iface)
if 'test' in settings and settings['test']:
return _read_temp_ifaces(iface, opts[iface])
ifcfg = _write_file_ifaces(iface, opts[iface], **settings)
if iface_type == 'pppoe':
_write_file_ppp_ifaces(iface, opts[iface])
# ensure lines in list end with newline, so difflib works
return [item + '\n' for item in ifcfg]
def build_routes(iface, **settings):
'''
Add route scripts for a network interface using up commands.
CLI Example:
.. code-block:: bash
salt '*' ip.build_routes eth0 <settings>
'''
iface = iface.lower()
opts = _parse_routes(iface, settings)
try:
template = JINJA.get_template('route_eth.jinja')
except jinja2.exceptions.TemplateNotFound:
log.error('Could not load template route_eth.jinja')
return ''
add_routecfg = template.render(route_type='add',
routes=opts['routes'],
iface=iface)
del_routecfg = template.render(route_type='del',
routes=opts['routes'],
iface=iface)
if 'test' in settings and settings['test']:
return _read_temp(add_routecfg + del_routecfg)
filename = _write_file_routes(iface,
add_routecfg,
_DEB_NETWORK_UP_DIR,
'route-{0}')
results = _read_file(filename)
filename = _write_file_routes(iface,
del_routecfg,
_DEB_NETWORK_DOWN_DIR,
'route-{0}')
results += _read_file(filename)
return results
def down(iface, iface_type):
'''
Shutdown a network interface
CLI Example:
.. code-block:: bash
salt '*' ip.down eth0 eth
'''
# Slave devices are controlled by the master.
# Source 'interfaces' aren't brought down.
if iface_type not in ['slave', 'source']:
return __salt__['cmd.run'](['ifdown', iface])
return None
def get_bond(iface):
'''
Return the content of a bond script
CLI Example:
.. code-block:: bash
salt '*' ip.get_bond bond0
'''
path = os.path.join(_DEB_NETWORK_CONF_FILES, '{0}.conf'.format(iface))
return _read_file(path)
def get_interface(iface):
'''
Return the contents of an interface script
CLI Example:
.. code-block:: bash
salt '*' ip.get_interface eth0
'''
adapters = _parse_interfaces()
if iface in adapters:
try:
if iface == 'source':
template = JINJA.get_template('debian_source.jinja')
else:
template = JINJA.get_template('debian_eth.jinja')
except jinja2.exceptions.TemplateNotFound:
log.error('Could not load template debian_eth.jinja')
return ''
ifcfg = template.render({'name': iface, 'data': adapters[iface]})
# ensure lines in list end with newline, so difflib works
return [item + '\n' for item in ifcfg.split('\n')]
else:
return []
def up(iface, iface_type): # pylint: disable=C0103
'''
Start up a network interface
CLI Example:
.. code-block:: bash
salt '*' ip.up eth0 eth
'''
# Slave devices are controlled by the master.
# Source 'interfaces' aren't brought up.
if iface_type not in ('slave', 'source'):
return __salt__['cmd.run'](['ifup', iface])
return None
def get_network_settings():
'''
Return the contents of the global network script.
CLI Example:
.. code-block:: bash
salt '*' ip.get_network_settings
'''
skip_etc_default_networking = (
__grains__['osfullname'] == 'Ubuntu' and
int(__grains__['osrelease'].split('.')[0]) >= 12)
if skip_etc_default_networking:
settings = {}
if __salt__['service.available']('networking'):
if __salt__['service.status']('networking'):
settings['networking'] = "yes"
else:
settings['networking'] = "no"
else:
settings['networking'] = "no"
hostname = _parse_hostname()
domainname = _parse_domainname()
settings['hostname'] = hostname
settings['domainname'] = domainname
else:
settings = _parse_current_network_settings()
try:
template = JINJA.get_template('display-network.jinja')
except jinja2.exceptions.TemplateNotFound:
log.error('Could not load template display-network.jinja')
return ''
network = template.render(settings)
return _read_temp(network)
def get_routes(iface):
'''
Return the routes for the interface
CLI Example:
.. code-block:: bash
salt '*' ip.get_routes eth0
'''
filename = os.path.join(_DEB_NETWORK_UP_DIR, 'route-{0}'.format(iface))
results = _read_file(filename)
filename = os.path.join(_DEB_NETWORK_DOWN_DIR, 'route-{0}'.format(iface))
results += _read_file(filename)
return results
def apply_network_settings(**settings):
'''
Apply global network configuration.
CLI Example:
.. code-block:: bash
salt '*' ip.apply_network_settings
'''
if 'require_reboot' not in settings:
settings['require_reboot'] = False
if 'apply_hostname' not in settings:
settings['apply_hostname'] = False
hostname_res = True
if settings['apply_hostname'] in _CONFIG_TRUE:
if 'hostname' in settings:
hostname_res = __salt__['network.mod_hostname'](settings['hostname'])
else:
log.warning(
'The network state sls is trying to apply hostname '
'changes but no hostname is defined.'
)
hostname_res = False
res = True
if settings['require_reboot'] in _CONFIG_TRUE:
log.warning(
'The network state sls is requiring a reboot of the system to '
'properly apply network configuration.'
)
res = True
else:
stop = __salt__['service.stop']('networking')
time.sleep(2)
res = stop and __salt__['service.start']('networking')
return hostname_res and res
def build_network_settings(**settings):
'''
Build the global network script.
CLI Example:
.. code-block:: bash
salt '*' ip.build_network_settings <settings>
'''
changes = []
# Read current configuration and store default values
current_network_settings = _parse_current_network_settings()
# Build settings
opts = _parse_network_settings(settings, current_network_settings)
# Ubuntu has moved away from /etc/default/networking
# beginning with the 12.04 release so we disable or enable
# the networking related services on boot
skip_etc_default_networking = (
__grains__['osfullname'] == 'Ubuntu' and
int(__grains__['osrelease'].split('.')[0]) >= 12)
if skip_etc_default_networking:
if opts['networking'] == 'yes':
service_cmd = 'service.enable'
else:
service_cmd = 'service.disable'
if __salt__['service.available']('NetworkManager'):
__salt__[service_cmd]('NetworkManager')
if __salt__['service.available']('networking'):
__salt__[service_cmd]('networking')
else:
try:
template = JINJA.get_template('network.jinja')
except jinja2.exceptions.TemplateNotFound:
log.error('Could not load template network.jinja')
return ''
network = template.render(opts)
if 'test' in settings and settings['test']:
return _read_temp(network)
# Write settings
_write_file_network(network, _DEB_NETWORKING_FILE, True)
# Write hostname to /etc/hostname
sline = opts['hostname'].split('.', 1)
opts['hostname'] = sline[0]
hostname = '{0}\n' . format(opts['hostname'])
current_domainname = current_network_settings['domainname']
current_searchdomain = current_network_settings['searchdomain']
# Only write the hostname if it has changed
if not opts['hostname'] == current_network_settings['hostname']:
if not ('test' in settings and settings['test']):
# TODO replace wiht a call to network.mod_hostname instead
_write_file_network(hostname, _DEB_HOSTNAME_FILE)
new_domain = False
if len(sline) > 1:
new_domainname = sline[1]
if new_domainname != current_domainname:
domainname = new_domainname
opts['domainname'] = new_domainname
new_domain = True
else:
domainname = current_domainname
opts['domainname'] = domainname
else:
domainname = current_domainname
opts['domainname'] = domainname
new_search = False
if 'search' in opts:
new_searchdomain = opts['search']
if new_searchdomain != current_searchdomain:
searchdomain = new_searchdomain
opts['searchdomain'] = new_searchdomain
new_search = True
else:
searchdomain = current_searchdomain
opts['searchdomain'] = searchdomain
else:
searchdomain = current_searchdomain
opts['searchdomain'] = searchdomain
# If the domain changes, then we should write the resolv.conf file.
if new_domain or new_search:
# Look for existing domain line and update if necessary
contents = _parse_resolve()
domain_prog = re.compile(r'domain\s+(?P<domain_name>\S+)')
search_prog = re.compile(r'search\s+(?P<search_domain>\S+)')
new_contents = []
found_domain = False
found_search = False
for item in contents:
domain_match = domain_prog.match(item)
search_match = search_prog.match(item)
if domain_match:
new_contents.append('domain {0}\n' . format(domainname))
found_domain = True
elif search_match:
new_contents.append('search {0}\n' . format(searchdomain))
found_search = True
else:
new_contents.append(item)
# A domain line didn't exist so we'll add one in
# with the new domainname
if not found_domain:
new_contents.insert(0, 'domain {0}\n' . format(domainname))
# A search line didn't exist so we'll add one in
# with the new search domain
if not found_search:
if new_contents[0].startswith('domain'):
new_contents.insert(1, 'search {0}\n' . format(searchdomain))
else:
new_contents.insert(0, 'search {0}\n' . format(searchdomain))
new_resolv = ''.join(new_contents)
# Write /etc/resolv.conf
if not ('test' in settings and settings['test']):
_write_file_network(new_resolv, _DEB_RESOLV_FILE)
# used for returning the results back
try:
template = JINJA.get_template('display-network.jinja')
except jinja2.exceptions.TemplateNotFound:
log.error('Could not load template display-network.jinja')
return ''
network = template.render(opts)
changes.extend(_read_temp(network))
return changes
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25,
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14,
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] | 2.112762 | 32,440 |
import numpy as np
import simtk.openmm as openmm
import simtk.unit as units
from openmmtools import testsystems
from pymbar import timeseries
from functools import partial
from openmmmcmc.mcmc import HMCMove, GHMCMove, LangevinDynamicsMove, MonteCarloBarostatMove
import logging
# Test various combinations of systems and MCMC schemes
analytical_testsystems = [
("HarmonicOscillator", testsystems.HarmonicOscillator(),
[GHMCMove(timestep=10.0*units.femtoseconds,nsteps=100)]),
("HarmonicOscillator", testsystems.HarmonicOscillator(),
{GHMCMove(timestep=10.0*units.femtoseconds,nsteps=100): 0.5,
HMCMove(timestep=10*units.femtosecond, nsteps=10): 0.5}),
("HarmonicOscillatorArray", testsystems.HarmonicOscillatorArray(N=4),
[LangevinDynamicsMove(timestep=10.0*units.femtoseconds,nsteps=100)]),
("IdealGas", testsystems.IdealGas(nparticles=216),
[HMCMove(timestep=10*units.femtosecond, nsteps=10)])
]
NSIGMA_CUTOFF = 6.0 # cutoff for significance testing
debug = False # set to True only for manual debugging of this nose test
#=============================================================================================
# MAIN AND TESTS
#=============================================================================================
if __name__ == "__main__":
#test_mcmc_expectations()
test_minimizer_all_testsystems()
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2,
23926,
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25609,
28,
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2,
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5357,
309,
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198,
2,
23926,
4770,
25609,
28,
198,
198,
361,
11593,
3672,
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366,
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66,
62,
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220,
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62,
1084,
320,
7509,
62,
439,
62,
9288,
10057,
82,
3419,
198
] | 2.812877 | 497 |
from time import sleep
#Aula N°13
print("Aula N°13 \n")
sleep(0.2)
s = 0
for c in range(1, 4):
n = int(input('Escolha um numero: '))
s = s + n
print(s) | [
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] | 2.0375 | 80 |
'''
Author : MiKueen
Level : Easy
Problem Statement : Two Sum II - Input array is sorted
Given an array of integers that is already sorted in ascending order, find two numbers such that they add up to a specific target number.
The function twoSum should return indices of the two numbers such that they add up to the target, where index1 must be less than index2.
Note:
Your returned answers (both index1 and index2) are not zero-based.
You may assume that each input would have exactly one solution and you may not use the same element twice.
Example:
Input: numbers = [2,7,11,15], target = 9
Output: [1,2]
Explanation: The sum of 2 and 7 is 9. Therefore index1 = 1, index2 = 2.
'''
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220,
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220,
220,
220,
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] | 3.463054 | 203 |
# -*- coding: utf-8 -*-
from __future__ import with_statement
import warnings
from almost import Approximate
from pytest import deprecated_call, raises
from conftest import various_backends
import trueskill as t
from trueskill import (
quality, quality_1vs1, rate, rate_1vs1, Rating, setup, TrueSkill)
warnings.simplefilter('always')
inf = float('inf')
nan = float('nan')
_rate = almost.wrap(rate)
_rate_1vs1 = almost.wrap(rate_1vs1)
_quality = almost.wrap(quality)
_quality_1vs1 = almost.wrap(quality_1vs1)
# usage
def test_compatibility_with_another_rating_systems():
"""All rating system modules should implement ``rate_1vs1`` and
``quality_1vs1`` to provide shortcuts for 1 vs 1 simple competition games.
"""
r1, r2 = Rating(30, 3), Rating(20, 2)
assert quality_1vs1(r1, r2) == quality([(r1,), (r2,)])
rated = rate([(r1,), (r2,)])
assert rate_1vs1(r1, r2) == (rated[0][0], rated[1][0])
rated = rate([(r1,), (r2,)], [0, 0])
assert rate_1vs1(r1, r2, drawn=True) == (rated[0][0], rated[1][0])
# algorithm
@various_backends
@various_backends
@various_backends
@various_backends
@various_backends
@various_backends
@various_backends
@various_backends
@various_backends
# functions
@various_backends
# mathematics
# reported bugs
@various_backends
def test_issue3():
"""The `issue #3`_, opened by @youknowone.
These inputs led to ZeroDivisionError before 0.1.4. Also another TrueSkill
implementations cannot calculate this case.
.. _issue #3: https://github.com/sublee/trueskill/issues/3
"""
# @konikos's case 1
t1 = (Rating(42.234, 3.728), Rating(43.290, 3.842))
t2 = (Rating(16.667, 0.500), Rating(16.667, 0.500), Rating(16.667, 0.500),
Rating(16.667, 0.500), Rating(16.667, 0.500), Rating(16.667, 0.500),
Rating(16.667, 0.500), Rating(16.667, 0.500), Rating(16.667, 0.500),
Rating(16.667, 0.500), Rating(16.667, 0.500), Rating(16.667, 0.500),
Rating(16.667, 0.500), Rating(16.667, 0.500), Rating(16.667, 0.500))
rate([t1, t2], [6, 5])
# @konikos's case 2
t1 = (Rating(25.000, 0.500), Rating(25.000, 0.500), Rating(25.000, 0.500),
Rating(25.000, 0.500), Rating(33.333, 0.500), Rating(33.333, 0.500),
Rating(33.333, 0.500), Rating(33.333, 0.500), Rating(41.667, 0.500),
Rating(41.667, 0.500), Rating(41.667, 0.500), Rating(41.667, 0.500))
t2 = (Rating(42.234, 3.728), Rating(43.291, 3.842))
rate([t1, t2], [0, 28])
@various_backends(['scipy'])
def test_issue4():
"""The `issue #4`_, opened by @sublee.
numpy.float64 handles floating-point error by different way. For example,
it can just warn RuntimeWarning on n/0 problem instead of throwing
ZeroDivisionError.
.. _issue #4: https://github.com/sublee/trueskill/issues/4
"""
import numpy
r1, r2 = Rating(105.247, 0.439), Rating(27.030, 0.901)
# make numpy to raise FloatingPointError instead of warning
# RuntimeWarning
old_settings = numpy.seterr(divide='raise')
try:
rate([(r1,), (r2,)])
finally:
numpy.seterr(**old_settings)
@various_backends([None, 'scipy'])
def test_issue5(backend):
"""The `issue #5`_, opened by @warner121.
This error occurs when a winner has too low rating than a loser. Basically
Python cannot calculate correct result but mpmath_ can. I added ``backend``
option to :class:`TrueSkill` class. If it is set to 'mpmath' then the
problem will have gone.
The result of TrueSkill calculator by Microsoft is N(-273.092, 2.683) and
N(-75.830, 2.080), of C# Skills by Moserware is N(NaN, 2.6826) and
N(NaN, 2.0798). I choose Microsoft's result as an expectation for the test
suite.
.. _issue #5: https://github.com/sublee/trueskill/issues/5
.. _mpmath: http://mpmath.googlecode.com/
"""
assert _quality_1vs1(Rating(-323.263, 2.965), Rating(-48.441, 2.190)) == 0
with raises(FloatingPointError):
rate_1vs1(Rating(-323.263, 2.965), Rating(-48.441, 2.190))
assert _quality_1vs1(Rating(), Rating(1000)) == 0
with raises(FloatingPointError):
rate_1vs1(Rating(), Rating(1000))
@various_backends(['mpmath'])
@various_backends(['mpmath'])
def test_issue5_with_more_extreme():
"""If the input is more extreme, 'mpmath' backend also made an exception.
But we can avoid the problem with higher precision.
"""
import mpmath
try:
dps = mpmath.mp.dps
with raises(FloatingPointError):
rate_1vs1(Rating(), Rating(1000000))
mpmath.mp.dps = 50
assert almost(rate_1vs1(Rating(), Rating(1000000)), prec=-1) == \
[(400016.896, 6.455), (600008.104, 6.455)]
with raises(FloatingPointError):
rate_1vs1(Rating(), Rating(1000000000000))
mpmath.mp.dps = 100
assert almost(rate_1vs1(Rating(), Rating(1000000000000)), prec=-7) == \
[(400001600117.693, 6.455), (599998399907.307, 6.455)]
finally:
mpmath.mp.dps = dps
def test_issue9_weights_dict_with_object_keys():
"""The `issue #9`_, opened by @.
.. _issue #9: https://github.com/sublee/trueskill/issues/9
"""
p1 = Player(Rating(), 0)
p2 = Player(Rating(), 0)
p3 = Player(Rating(), 1)
teams = [{p1: p1.rating, p2: p2.rating}, {p3: p3.rating}]
rated = rate(teams, weights={(0, p1): 1, (0, p2): 0.5, (1, p3): 1})
assert rated[0][p1].mu > rated[0][p2].mu
assert rated[0][p1].sigma < rated[0][p2].sigma
assert rated[0][p1].sigma == rated[1][p3].sigma
| [
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] | 2.357864 | 2,378 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""BERT finetuning runner."""
from __future__ import absolute_import, division, print_function
import datetime
import argparse
import csv
import logging
import os
import random
import sys
import pickle
import numpy as np
import torch
import json
from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler,
TensorDataset)
from torch.utils.data.distributed import DistributedSampler
from tqdm import tqdm, trange
import glob
from torch.nn import CrossEntropyLoss, MSELoss
from scipy.stats import pearsonr, spearmanr
from sklearn.metrics import matthews_corrcoef, f1_score
from transformers import (BertConfig, BertForMultipleChoice, BertTokenizer,
ElectraConfig, ElectraTokenizer, RobertaConfig, RobertaTokenizer, RobertaForMultipleChoice)
from modeling import (BertBaseline, RobertaBaseline, BertForMultipleChoicePlus, RobertaForMultipleChoicePlus)
from modeling.model import ElectraForMultipleChoice as Baseline
from transformers import (AdamW, WEIGHTS_NAME, CONFIG_NAME)
import re
import os
logger = logging.getLogger(__name__)
class InputExample(object):
"""A single training/test example for simple sequence classification."""
def __init__(self, guid, text_a, text_b=None, label=None):
"""Constructs a InputExample.
Args:
guid: Unique id for the example.
text_a: string. The untokenized text of the first sequence. For single
sequence tasks, only this sequence must be specified.
text_b: (Optional) string. The untokenized text of the second sequence.
Only must be specified for sequence pair tasks.
label: (Optional) string. The label of the example. This should be
specified for train and dev examples, but not for test examples.
"""
self.guid = guid
self.text_a = text_a
self.text_b = text_b
self.label = label
class InputFeatures(object):
"""A single set of features of data."""
class DataProcessor(object):
"""Base class for data converters for sequence classification data sets."""
def get_train_examples(self, data_dir):
"""Gets a collection of `InputExample`s for the train set."""
raise NotImplementedError()
def get_dev_examples(self, data_dir):
"""Gets a collection of `InputExample`s for the dev set."""
raise NotImplementedError()
def get_labels(self):
"""Gets the list of labels for this data set."""
raise NotImplementedError()
class UbuntuProcessor(DataProcessor):
"""Processor for the MRPC data set (GLUE version)."""
def get_train_examples(self, data_dir):
"""See base class."""
logger.info("LOOKING AT {}".format(os.path.join(data_dir, "train.txt")))
return self._create_examples(
self._read_data(os.path.join(data_dir, "train.txt")), "train")
def get_dev_examples(self, data_dir):
"""See base class."""
return self._create_examples(
self._read_data(os.path.join(data_dir, "test.txt")), "test")
def get_test_examples(self, data_dir):
"""See base class."""
return self._create_examples(
self._read_data(os.path.join(data_dir, "test.txt")), "test")
def get_labels(self):
"""See base class."""
return ["0", "1"]
def _read_data(self, input_file):
"""Reads a tab separated value file."""
with open(input_file, "r", encoding="utf-8") as f:
lines = []
for i,line in enumerate(f):
line = re.compile('[\\x00-\\x08\\x0b-\\x0c\\x0e-\\x1f\\x7f]').sub(' ', line).strip()
line = line.strip().replace("_", "")
parts = line.strip().split("\t")
lable = parts[0]
message = ""
for i in range(1, len(parts) - 1, 1):
part = parts[i].strip()
if len(part) > 0:
if i != len(parts) - 2:
message += part
message += "[SEP]"
else:
message += part
response = parts[-1]
data = {"y": lable, "m": message, "r": response}
lines.append(data)
return lines
def _create_examples(self, lines, set_type):
"""Creates examples for the training and dev sets."""
examples = []
for (i, line) in enumerate(lines):
guid = "%s-%s" % (set_type, i)
text_a = [line["r"]]
text_b = [line["m"].strip().split("[SEP]")]
label = line["y"]
examples.append(
InputExample(guid=guid, text_a=text_a, text_b=text_b, label=label))
return examples
class MuTualProcessor(DataProcessor):
"""Processor for the MuTual data set."""
def get_train_examples(self, data_dir):
"""See base class."""
logger.info("LOOKING AT {} train".format(data_dir))
file = os.path.join(data_dir, 'train')
file = self._read_txt(file)
return self._create_examples(file, 'train')
def get_dev_examples(self, data_dir):
"""See base class."""
logger.info("LOOKING AT {} dev".format(data_dir))
file = os.path.join(data_dir, 'dev')
file = self._read_txt(file)
return self._create_examples(file, 'dev')
def get_test_examples(self, data_dir):
"""See base class."""
logger.info("LOOKING AT {} test".format(data_dir))
file = os.path.join(data_dir, 'test')
file = self._read_txt(file)
return self._create_examples(file, 'test')
def get_labels(self):
"""See base class."""
return ["0", "1", "2", "3"]
def _create_examples(self, lines, set_type):
"""Creates examples for the training and dev sets."""
examples = []
for (_, data_raw) in enumerate(lines):
id = "%s-%s" % (set_type, data_raw["id"])
article = data_raw["article"]
article = re.split(r"(f : |m : |M: |F: )", article)
article = ["".join(i) for i in zip(article[1::2], article[2::2])]
truth = str(ord(data_raw['answers']) - ord('A'))
options = data_raw['options']
examples.append(
InputExample(
guid=id,
text_a = [options[0], options[1], options[2], options[3]],
text_b=[article, article, article, article], # this is not efficient but convenient
label=truth))
return examples
def convert_examples_to_features(examples, label_list, max_seq_length, max_utterance_num,
tokenizer, output_mode):
"""Loads a data file into a list of `InputBatch`s."""
label_map = {label : i for i, label in enumerate(label_list)}
features = []
for (ex_index, example) in enumerate(examples):
if ex_index % 10000 == 0:
logger.info("Writing example %d of %d" % (ex_index, len(examples)))
choices_features = []
all_tokens = []
for ending_idx, (text_a, text_b) in enumerate(zip(example.text_a, example.text_b)):
tokens_a = tokenizer.tokenize(text_a)
tokens_b = []
for idx, text in enumerate(text_b):
if len(text.strip()) > 0:
tokens_b.extend(tokenizer.tokenize(text) + ["[SEP]"])
_truncate_seq_pair(tokens_a, tokens_b, max_seq_length - 2)
tokens = ["[CLS]"]
turn_ids = [0]
context_len = []
sep_pos = []
tokens_b_raw = " ".join(tokens_b)
tokens_b = []
current_pos = 0
for toks in tokens_b_raw.split("[SEP]")[-max_utterance_num - 1:-1]:
context_len.append(len(toks.split()) + 1)
tokens_b.extend(toks.split())
tokens_b.extend(["[SEP]"])
current_pos += context_len[-1]
turn_ids += [len(sep_pos)] * context_len[-1]
sep_pos.append(current_pos)
tokens += tokens_b
segment_ids = [0] * (len(tokens))
tokens_a += ["[SEP]"]
tokens += tokens_a
segment_ids += [1] * (len(tokens_a))
turn_ids += [len(sep_pos)] * len(tokens_a)
sep_pos.append(len(tokens) - 1)
input_ids = tokenizer.convert_tokens_to_ids(tokens)
input_mask = [1] * len(input_ids)
padding = [0] * (max_seq_length - len(input_ids))
input_ids += padding
input_mask += padding
segment_ids += padding
turn_ids += padding
context_len += [-1] * (max_utterance_num - len(context_len))
sep_pos += [0] * (max_utterance_num + 1 - len(sep_pos))
assert len(sep_pos) == max_utterance_num + 1
assert len(input_ids) == max_seq_length
assert len(input_mask) == max_seq_length
assert len(segment_ids) == max_seq_length
assert len(context_len) == max_utterance_num
assert len(turn_ids) == max_seq_length
choices_features.append((input_ids, input_mask, segment_ids, sep_pos, turn_ids))
all_tokens.append(tokens)
label_id = label_map[example.label]
if ex_index < 10:
logger.info("*** Example ***")
logger.info("guid: %s" % (example.guid))
for choice_idx, (input_ids, input_mask, segment_ids, sep_pos, turn_ids) in enumerate(choices_features):
logger.info("choice: {}".format(choice_idx))
logger.info("input_ids: %s" % " ".join([str(x) for x in input_ids]))
logger.info("input_mask: %s" % " ".join([str(x) for x in input_mask]))
logger.info("tokens: %s" % " ".join([str(x) for x in all_tokens[choice_idx]]))
logger.info("segment_ids: %s" % " ".join([str(x) for x in segment_ids]))
logger.info("sep_pos: %s" % " ".join([str(x) for x in sep_pos]))
logger.info("turn_ids: %s" % " ".join([str(x) for x in turn_ids]))
logger.info("label: %s (id = %d)" % (example.label, label_id))
features.append(
InputFeatures(
example_id = example.guid,
choices_features = choices_features,
label = label_id
)
)
return features
def _truncate_seq_pair(tokens_a, tokens_b, max_length):
"""Truncates a sequence pair in place to the maximum length."""
# This is a simple heuristic which will always truncate the longer sequence
# one token at a time. This makes more sense than truncating an equal percent
# of tokens from each, since if one sequence is very short then each token
# that's truncated likely contains more information than a longer sequence.
while True:
total_length = len(tokens_a) + len(tokens_b)
if total_length <= max_length:
break
if len(tokens_a) > len(tokens_b):
tokens_a.pop()
else:
tokens_b.pop(0)
if __name__ == "__main__":
main()
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1298,
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220,
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] | 2.180834 | 5,541 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.14 on 2018-08-01 17:43
from django.conf import settings
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
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# IPython log file
from tqdm import tqdm
import dask.array as da
import zarr
import itertools
from skimage.transform import downscale_local_mean
lls = da.from_zarr('data/gokul-lls/aollsm-m4-560nm.zarr')
lls3 = zarr.open('data/gokul-lls/aollsm-m4-560nm-downscale.zarr', dtype=np.float32, shape=(199, 201, 192, 256), chunks=(1, 201, 192, 256))
indices = list(itertools.product(range(199), range(201)))
for i, j in tqdm(indices):
lls3[i, j] = downscale_local_mean(np.array(lls[i, j]), (4, 4))
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11,
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357,
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11,
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] | 2.35545 | 211 |
import pygame,sys
from pygame.locals import *
pygame.init()
FPS = 10
frametime = 1000/FPS
fpsClock = pygame.time.Clock ()
DISPLAYSURF = pygame.display.set_mode((700,500),pygame.DOUBLEBUF, 32)
DISPLAYSURF = pygame.display.set_caption ('Snakes!')
snakeImg = pygame.image.load ('snake.png')
WHITE = (255,255,255)
snakeht = pygame.image.get_height (snakeImg)
snakewd = pygame.image.get_width (snakeImg)
froght = pygame.image.get_height (frogImg)
frogwd = pyagem.image.get_width (frogImg)
rotation = 0
direction = 'right'
snakex = 0
snakey = 500
while True:
DISPLAYSURF.fill (WHITE)
if direction == 'right':
if snakex <= 700:
snakex += 5
direction = 'left'
elif direction == 'left':
if snakex >= 0:
snakex -= 5
DISPLAYSURF.blit (snakeImg, (snakex, snakey))
for event in pygame.event.get():
if event.type() == QUIT:
pygame.quit()
sys.exit()
pygame.display.update()
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628,
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198,
220,
220,
220,
220,
220,
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220,
220,
198
] | 2.144124 | 451 |
# Start of panic.py.
# End of panic.py.
| [
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] | 2.411765 | 17 |
#
# (C) Copyright 2013 Enthought, Inc., Austin, TX
# All right reserved.
#
# This file is open source software distributed according to the terms in
# LICENSE.txt
#
from __future__ import absolute_import
# Enthought library imports
from traits.api import Any
# Local imports
from .data_context import DataContext
class NameFilterContext(DataContext):
""" This context will only take variables that match a list of names.
The name of the variable is compared to a list of names. If it matches one
of them, it is allowed into the context. If it doesn't, it isn't allowed in
the context.
"""
##########################################################################
# NameFilterContext interface
##########################################################################
# The list of names that are allowed into this context.
names = Any(copy='shallow') #List -- any container that supports 'in' will work.
#### IRestrictedContext interface ##########################################
def allows(self, value, name=None):
""" Return False if the name is not in our list of accepted names.
"""
result = name in self.names
return result
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628,
220,
220,
220,
220,
220,
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] | 3.729483 | 329 |
from setuptools import setup, find_packages
setup(
name='quiver_engine',
version="0.1.4.1.4",
author="Jake Bian",
author_email="[email protected]",
description=("Interactive per-layer visualization for convents in keras"),
license='mit',
packages=find_packages(),
include_package_data=True,
package_dir={'quiver_engine': 'quiver_engine'},
package_data={'quiver_engine': 'quiverboard/dist/*'},
install_requires=[
'keras',
'tensorflow',
'flask',
'flask_cors',
'gevent',
'numpy',
'pillow'
]
)
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220,
705,
6122,
292,
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198,
220,
220,
220,
220,
220,
220,
220,
705,
83,
22854,
11125,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
705,
2704,
2093,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
705,
2704,
2093,
62,
66,
669,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
705,
469,
1151,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
705,
77,
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3256,
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220,
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220,
220,
220,
705,
27215,
322,
6,
198,
220,
220,
220,
2361,
198,
8,
198
] | 2.230189 | 265 |
# coding: utf-8
"""
Speech Services API v2.0
Speech Services API v2.0. # noqa: E501
OpenAPI spec version: v2.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import swagger_client
from swagger_client.api.voice_endpoints_api import VoiceEndpointsApi # noqa: E501
from swagger_client.rest import ApiException
class TestVoiceEndpointsApi(unittest.TestCase):
"""VoiceEndpointsApi unit test stubs"""
def test_create_voice_deployment(self):
"""Test case for create_voice_deployment
Creates a new voice endpoint object. # noqa: E501
"""
pass
def test_delete_deployment(self):
"""Test case for delete_deployment
Delete the specified voice endpoint. # noqa: E501
"""
pass
def test_get_supported_locales_for_voice_endpoints(self):
"""Test case for get_supported_locales_for_voice_endpoints
Gets a list of supported locales for custom voice endpoints. # noqa: E501
"""
pass
def test_get_voice_deployment(self):
"""Test case for get_voice_deployment
Gets the details of a custom voice endpoint. # noqa: E501
"""
pass
def test_get_voice_deployments(self):
"""Test case for get_voice_deployments
Gets a list of voice endpoint details. # noqa: E501
"""
pass
def test_update_voice_endpoint(self):
"""Test case for update_voice_endpoint
Updates the name and description of the endpoint identified by the given ID. # noqa: E501
"""
pass
if __name__ == '__main__':
unittest.main()
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198,
361,
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10354,
198,
220,
220,
220,
555,
715,
395,
13,
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3419,
198
] | 2.514663 | 682 |
"""Infoset utilities package.
This package's modules which perform important tasks within
the project but are either not specific enough or not large
enough to warrant their own package
"""
| [
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] | 4.682927 | 41 |
"""
*Lower-East Capital 4* ⠨
The lower-east capital four gi.
"""
from dataclasses import dataclass
from ....._gi import Gi
from ....capital import CapitalGi
from ...._gi import StrismicGi
from ....east import EasternGi
from ...._number import FourGi
from ..._gi import LowerGi
__all__ = ["LowerEastCapital4"]
@dataclass
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330,
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import cv2
import numpy as np | [
11748,
269,
85,
17,
198,
11748,
299,
32152,
355,
45941
] | 2.9 | 10 |
from openvino.inference_engine import IECore, IENetwork
import ngraph as ng
from ngraph.impl.op import Parameter
from ngraph.impl import Function, Shape, Type
| [
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"""Provide tools for creating parametirc aircraft geometry."""
import numpy as np
import matplotlib.pyplot as plt
import openvsp as vsp
def naca_4_series(max_camber, max_camber_loc, max_tc, n_points,
plot_switch=False):
"""Plot NACA 4-Series airfoil with the given characteristics."""
airfoil_name = 'NACA({0:.2f})({1:.2f})({2:.2f})'.format(
max_camber, max_camber_loc, max_tc)
x_coords = np.linspace(0, 1, n_points)
t_dist = get_thickness_dist(x_coords)
z_mcl, theta = get_camber_curve(x_coords)
x_u = x_coords - t_dist*np.sin(theta)
z_u = z_mcl + t_dist*np.cos(theta)
x_l = x_coords + t_dist*np.sin(theta)
z_l = z_mcl - t_dist*np.cos(theta)
scale_factor_u = 1/x_u[-1]
x_u *= scale_factor_u
z_u *= scale_factor_u
scale_factor_l = 1/x_l[-1]
x_l *= scale_factor_l
z_l *= scale_factor_l
if plot_switch:
fig = plt.figure(dpi=1200)
ax = fig.add_subplot(111)
ax.plot(x_u, z_u, 'k')
ax.plot(x_l, z_l, 'k')
ax.axis('equal')
ax.set_title(airfoil_name)
coords_array = np.vstack((np.concatenate((x_u[::-1], x_l)),
np.concatenate((z_u[::-1], z_l)))).T
np.savetxt('xfoil/' + airfoil_name + '.dat', coords_array, fmt='%.4f')
return coords_array
def create_VSP_wing(wing_span, planform, airfoil, alpha_i):
"""Create wing in OpenVSP dexcribed by the given characteristics."""
max_camber = airfoil[0]
max_camber_loc = airfoil[1]
max_tc = airfoil[2]
vsp.VSPCheckSetup()
vsp.ClearVSPModel()
wing_id = vsp.AddGeom('WING')
vsp.SetGeomName(wing_id, 'Wing')
wing_sec_span = wing_span/(2*(len(planform) - 1))
for i in range(len(planform)-1):
if i != 0:
vsp.InsertXSec(wing_id, i, vsp.XS_FOUR_SERIES)
vsp.SetParmValUpdate(wing_id, 'Span', 'XSec_{0}'.format(i+1),
wing_sec_span)
vsp.SetParmValUpdate(wing_id, 'Root_Chord', 'XSec_{0}'.format(i+1),
planform[i])
vsp.SetParmValUpdate(wing_id, 'Tip_Chord', 'XSec_{0}'.format(i+1),
planform[i+1])
vsp.SetParmValUpdate(wing_id, 'Sweep', 'XSec_{0}'.format(i+1), 0)
vsp.SetParmValUpdate(wing_id, 'Sweep_Location', 'XSec_{0}'.format(
i+1), 0.25)
for i in range(len(planform)):
vsp.SetParmValUpdate(wing_id, 'Camber', 'XSecCurve_{0}'.format(i),
max_camber/100)
vsp.SetParmValUpdate(wing_id, 'CamberLoc', 'XSecCurve_{0}'.format(i),
max_camber_loc/10)
vsp.SetParmValUpdate(wing_id, 'ThickChord', 'XSecCurve_{0}'.format(i),
max_tc/100)
vsp.SetParmValUpdate(wing_id, 'Y_Rel_Rotation', 'XForm', alpha_i)
vsp.SetParmValUpdate(wing_id, 'Origin', 'XForm', 0.25)
vsp.WriteVSPFile(
'C:/Users/jaros/Documents/GitHub/DISECON_PIA/2 - Conceptual Design/4 - Wing Design/wing_model.vsp3')
print('Done!')
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import cv2
import yaml
import numpy as np
def centroidFeetFromFile(fileName="/home/davide/Documenti/progetti/playground/centroid-to-feet-interpolation/101_640x480.yaml", normalization=False):
'''
funzione che carica e restituisce le coordinate di centroide e piedi nel formato [[x y]]
'''
with open(fileName, 'r') as stream:
try:
data = yaml.safe_load(stream)
centroidCoordinates = np.array(data['feet_calib'], dtype='i')[:,0,:]
feetCoordinates = np.array(data['feet_calib'], dtype='i')[:,1,:]
image_width = np.array(data['feet_calib_image_width'])
image_height = np.array(data['feet_calib_image_height'])
if normalization:
# Normalizing coordinates
for v in [centroidCoordinates,feetCoordinates]:
v[:,0] /= image_width
v[:,1] /= image_height
#print(centroidCoordinates[0,0])
except yaml.YAMLError as exc:
print(exc)
return centroidCoordinates,feetCoordinates | [
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] | 2.074856 | 521 |
import sys
import numpy as np
import random
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.distributions import Categorical
from Tetris.src.tetris import Tetris
from PIL import Image
from time import sleep
from pathlib import Path
import cv2
# height, width and possible actions for the agent
HEIGHT, WIDTH = 20, 6
ACTION_LIST = [(x, n_rotations) for n_rotations in range(4) for x in range(WIDTH)]
ACTION_LIST.remove((WIDTH - 1, 0))
ACTION_LIST.remove((WIDTH - 1, 2))
print(f"[Agent] ActionSpace: {len(ACTION_LIST)}")
"""TODO check if flatten is not required"""
if __name__ == "__main__":
# initializing our environment
env = Tetris(height=HEIGHT, width=WIDTH)
init_state = env.reset()
print(f"InputSize: {init_state.shape[0]}")
agent = A2CAgent(init_state.shape[0])
epoch_resume = -1
epoch_resume = agent.load('tetris_checkpoint_latest')
agent.play(env, 100, 10, video=True)
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