content
stringlengths 1
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|---|---|---|---|
#!/usr/local/bin/python3
"""
Author: Kelly Sovacool
Email: [email protected]
28 Sep 2017
Usage:
snp_subsample.py <snp-sites-dir> <output-filename-base> [--abundance-filter=<percent-cutoff> --output-filtered-fasta-dir=<filtered_dir> --skip-filter --num_subsamples=<num> --all-snps-all-loci --missing-cutoff=<percent-cutoff> --output-format=<fasta-or-strx>]
snp_subsample.py --help
Options:
-h --help display this incredibly helpful message.
--abundance-filter=<percent-cutoff> filter out SNPs below a percent abundance cutoff [default: 0.05].
--missing-cutoff=<percent-cutoff> filter out SNP sites with more than <percent-cutoff> of individuals missing data [default: 0.5].
--skip-filter skip the filtering step (e.g. if using already-filtered data).
--num_subsamples=<num> number of subsamples [default: 1].
--all-snps-all-loci output a file containing all snps from all loci.
--output-filtered-fasta-dir=<filtered_dir> output filtered snp-sites fastas to a directory.
--output-format=<fasta-or-strx> output format for subsamples [default: strx].
"""
import Bio.Seq
import Bio.SeqIO
import docopt
import os
import random
# TODO: Redesign: clean up main fcn, better OOP design
strx_extension = "_strx.txt"
fasta_extension = ".fna"
if __name__ == "__main__":
arguments = docopt.docopt(__doc__)
for arg in ("<snp-sites-dir>", "--output-filtered-fasta-dir"):
if arguments[arg]:
arguments[arg] = check_directory(arguments[arg])
main(arguments)
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] | 2.35785 | 707 |
# -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2015-2018 CERN.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Tests for user profile models."""
import pytest
from invenio_accounts.models import User
from invenio_db import db
from sqlalchemy.exc import IntegrityError
from test_validators import test_usernames
from invenio_userprofiles import InvenioUserProfiles, UserProfile
def test_userprofiles(app):
"""Test UserProfile model."""
profile = UserProfile(User())
# Check the username validator works on the model
profile.username = test_usernames['valid']
with pytest.raises(ValueError):
profile.username = test_usernames['invalid_characters']
with pytest.raises(ValueError):
profile.username = test_usernames['invalid_begins_with_number']
# Test non-validated attributes
profile.first_name = 'Test'
profile.last_name = 'User'
assert profile.first_name == 'Test'
assert profile.last_name == 'User'
def test_case_insensitive_username(app):
"""Test case-insensitive uniqueness."""
with app.app_context():
with db.session.begin_nested():
u1 = User(email='[email protected]', username="INFO")
db.session.add(u1)
u2 = User(email='[email protected]', username="info")
db.session.add(u2)
pytest.raises(IntegrityError, db.session.commit)
def test_case_preserving_username(app):
"""Test that username preserves the case."""
with app.app_context():
with db.session.begin_nested():
u1 = User(email='[email protected]', username="InFo")
db.session.add(u1)
db.session.commit()
profile = UserProfile.get_by_username('info')
assert profile.username == 'InFo'
def test_delete_cascade(app):
"""Test that deletion of user, also removes profile."""
with app.app_context():
with db.session.begin_nested():
u = User(email='[email protected]', username="InFo")
db.session.add(u)
db.session.commit()
assert UserProfile.get_by_userid(u.id) is not None
db.session.delete(u)
db.session.commit()
assert UserProfile.get_by_userid(u.id) is None
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1136,
62,
1525,
62,
7220,
312,
7,
84,
13,
312,
8,
318,
6045,
198
] | 2.566038 | 901 |
import datetime
import logging
import time
from colorama import Fore
logging.getLogger('filelock').propagate = False
logging.basicConfig(
# filename='logger.log',
level=logging.INFO,
format='%(message)s'
)
logger = Logger(classic=True, logger_name='Default-Logger')
| [
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] | 2.858586 | 99 |
import unittest
from unittest.mock import MagicMock
import luigi
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from redshells.train import TrainPairwiseSimilarityModel
if __name__ == '__main__':
unittest.main()
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] | 3.049383 | 81 |
import asyncio
import sys
sys.path.insert(0, ".")
from aioscheduler import QueuedScheduler
asyncio.run(main())
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import cv2
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# encoding: utf-8
from enum import Enum
from datetime import datetime, timedelta
import math
import pprint
from prawcore import exceptions
import langdetect
DAYS_IN_WEEK = 7
DAYS_IN_MONTH = 28
class Subreddit:
"""A class to retrieve and store information about subreddits"""
def auto_update(self, reddit, post_limit=100, comment_limit=1000):
"""Automatically crawl the subreddit to update all possible info
parameters:
reddit: a praw instance
post_limit: upper limit of posts parsed for activity metrics
comment_limit: upper limit of comments parsed for activity metrics"""
# FIXME: parse latest posts and comments for activity metrics
try:
sub = reddit.subreddit(self.name)
except (exceptions.NotFound, exceptions.Redirect):
self.status = SubredditStatus.DOESNT_EXIST
return
self._set_status(sub)
if self.status not in [SubredditStatus.PUBLIC, SubredditStatus.RESTRICTED]:
return
self.is_nsfw = sub.over18
self.subscriber_count = sub.subscribers
self.created_utc = sub.created_utc
self.description = sub.public_description
self.official_lang = sub.lang
self.moderators = [mod.name for mod in sub.moderator()]
self._analyse_submissions(sub, post_limit)
self._analyse_comments(sub, comment_limit)
return
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] | 2.502564 | 585 |
#!/usr/bin/env python
# Copyright 2016-2021 Biomedical Imaging Group Rotterdam, Departments of
# Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands
#
# 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
matplotlib.use('agg')
import matplotlib.pyplot as plt
import os
import numpy as np
from sklearn.decomposition import PCA, SparsePCA, KernelPCA
from sklearn.manifold import TSNE
from WORC.IOparser.file_io import load_features
import WORC.IOparser.config_io_classifier as config_io
from WORC.featureprocessing.Imputer import Imputer
def Decomposition(features, patientinfo, config, output, label_type=None,
verbose=True):
"""
Perform decompositions to two components of the feature space.
Useage is similar to StatisticalTestFeatures.
Parameters
----------
features: string, mandatory
contains the paths to all .hdf5 feature files used.
modalityname1=file1,file2,file3,... modalityname2=file1,...
Thus, modalities names are always between a space and a equal
sign, files are split by commas. We assume that the lists of
files for each modality has the same length. Files on the
same position on each list should belong to the same patient.
patientinfo: string, mandatory
Contains the path referring to a .txt file containing the
patient label(s) and value(s) to be used for learning. See
the Github Wiki for the format.
config: string, mandatory
path referring to a .ini file containing the parameters
used for feature extraction. See the Github Wiki for the possible
fields and their description.
# TODO: outputs
verbose: boolean, default True
print final feature values and labels to command line or not.
"""
# Load variables from the config file
config = config_io.load_config(config)
# Create output folder if required
if not os.path.exists(os.path.dirname(output)):
os.makedirs(os.path.dirname(output))
if label_type is None:
label_type = config['Labels']['label_names']
# Read the features and classification data
print("Reading features and label data.")
label_data, image_features =\
load_features(features, patientinfo, label_type)
# Extract feature labels and put values in an array
feature_labels = image_features[0][1]
feature_values = np.zeros([len(image_features), len(feature_labels)])
for num, x in enumerate(image_features):
feature_values[num, :] = x[0]
# Detect NaNs, otherwise first feature imputation is required
if any(np.isnan(a) for a in np.asarray(feature_values).flatten()):
print('\t [WARNING] NaNs detected, applying median imputation')
imputer = Imputer(missing_values=np.nan, strategy='median')
imputer.fit(feature_values)
feature_values = imputer.transform(feature_values)
# -----------------------------------------------------------------------
# Perform decomposition
print("Performing decompositions.")
label_value = label_data['label']
label_name = label_data['label_name']
# Reduce to two components for plotting
n_components = 2
for i_class, i_name in zip(label_value, label_name):
classlabels = i_class.ravel()
class1 = [i for j, i in enumerate(feature_values) if classlabels[j] == 1]
class2 = [i for j, i in enumerate(feature_values) if classlabels[j] == 0]
f = plt.figure(figsize=(20, 15))
# -------------------------------------------------------
# Fit PCA
pca = PCA(n_components=n_components)
pca.fit(feature_values)
explained_variance_ratio = np.sum(pca.explained_variance_ratio_)
class1_pca = pca.transform(class1)
class2_pca = pca.transform(class2)
# Plot PCA
ax = plt.subplot(2, 3, 1)
plt.subplots_adjust(hspace=0.3, wspace=0.2)
ax.scatter(class1_pca[:, 0], class1_pca[:, 1], color='blue')
ax.scatter(class2_pca[:, 0], class2_pca[:, 1], color='green')
ax.set_title(f'PCA: {round(explained_variance_ratio, 3)} variance.')
# -------------------------------------------------------
# Fit Sparse PCA
pca = SparsePCA(n_components=n_components)
pca.fit(feature_values)
class1_pca = pca.transform(class1)
class2_pca = pca.transform(class2)
# Plot Sparse PCA
ax = plt.subplot(2, 3, 2)
plt.subplots_adjust(hspace=0.3, wspace=0.2)
ax.scatter(class1_pca[:, 0], class1_pca[:, 1], color='blue')
ax.scatter(class2_pca[:, 0], class2_pca[:, 1], color='green')
ax.set_title('Sparse PCA.')
# -------------------------------------------------------
# Fit Kernel PCA
fnum = 3
for kernel in ['linear', 'poly', 'rbf']:
try:
pca = KernelPCA(n_components=n_components, kernel=kernel)
pca.fit(feature_values)
class1_pca = pca.transform(class1)
class2_pca = pca.transform(class2)
# Plot Sparse PCA
ax = plt.subplot(2, 3, fnum)
plt.subplots_adjust(hspace=0.3, wspace=0.2)
ax.scatter(class1_pca[:, 0], class1_pca[:, 1], color='blue')
ax.scatter(class2_pca[:, 0], class2_pca[:, 1], color='green')
ax.set_title(('Kernel PCA: {} .').format(kernel))
fnum += 1
except ValueError as e:
# Sometimes, a specific kernel does not work, just continue
print(f'[Error] {e}: skipping kernel {kernel}.')
continue
# -------------------------------------------------------
# Fit t-SNE
tSNE = TSNE(n_components=n_components)
class_all = class1 + class2
class_all_tsne = tSNE.fit_transform(class_all)
class1_tSNE = class_all_tsne[0:len(class1)]
class2_tSNE = class_all_tsne[len(class1):]
# Plot Sparse tSNE
ax = plt.subplot(2, 3, 6)
plt.subplots_adjust(hspace=0.3, wspace=0.2)
ax.scatter(class1_tSNE[:, 0], class1_tSNE[:, 1], color='blue')
ax.scatter(class2_tSNE[:, 0], class2_tSNE[:, 1], color='green')
ax.set_title('t-SNE.')
# -------------------------------------------------------
# Maximize figure to get correct spacings
# mng = plt.get_current_fig_manager()
# mng.resize(*mng.window.maxsize())
# High DTI to make sure we save the maximized image
f.savefig(output, dpi=600)
print(("Decomposition saved as {} !").format(output))
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] | 2.46329 | 2,942 |
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Categorical
from common.utils import init
class FixedCategorical(Categorical):
"""
Categorical distribution object
"""
class Categorical(nn.Module):
"""
Categorical distribution (NN module)
"""
| [
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] | 3.09 | 100 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
# SOURCE: https://github.com/martinblech/xmltodict#roundtripping
# pip install xmltodict
import xmltodict
my_dict = {
'response': {
'status': 'good',
'last_updated': '2014-02-16T23:10:12Z',
}
}
print(xmltodict.unparse(my_dict))
# <?xml version="1.0" encoding="utf-8"?>
# <response><status>good</status><last_updated>2014-02-16T23:10:12Z</last_updated></response>
print()
print(xmltodict.unparse(my_dict, pretty=True))
# <?xml version="1.0" encoding="utf-8"?>
# <response>
# <status>good</status>
# <last_updated>2014-02-16T23:10:12Z</last_updated>
# </response>
print('\n')
# Text values for nodes can be specified with the cdata_key key in the python dict, while node properties can
# be specified with the attr_prefix prefixed to the key name in the python dict. The default value for attr_
# prefix is @ and the default value for cdata_key is #text.
my_dict = {
'text': {
'@color': 'red',
'@stroke': '2',
'#text': 'This is a test',
}
}
print(xmltodict.unparse(my_dict, pretty=True))
# <?xml version="1.0" encoding="utf-8"?>
# <text stroke="2" color="red">This is a test</text>
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] | 2.420635 | 504 |
# Copyright (c) 2020 Cisco and/or its affiliates.
# 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.
"""QEMU Manager library."""
from collections import OrderedDict
from resources.libraries.python.Constants import Constants
from resources.libraries.python.CpuUtils import CpuUtils
from resources.libraries.python.QemuUtils import QemuUtils
from resources.libraries.python.topology import NodeType, Topology
__all__ = [u"QemuManager"]
class QemuManager:
"""QEMU lifecycle management class"""
# Use one instance of class per tests.
ROBOT_LIBRARY_SCOPE = u"TEST CASE"
def __init__(self, nodes):
"""Init QemuManager object."""
self.machines = None
self.machines_affinity = None
self.nodes = nodes
def initialize(self):
"""Initialize QemuManager object."""
self.machines = OrderedDict()
self.machines_affinity = OrderedDict()
def construct_vms_on_node(self, **kwargs):
"""Construct 1..Mx1..N VMs(s) on node with specified name.
:param kwargs: Named parameters.
:type kwargs: dict
"""
node = kwargs[u"node"]
nf_chains = int(kwargs[u"nf_chains"])
nf_nodes = int(kwargs[u"nf_nodes"])
queues = kwargs[u"rxq_count_int"] if kwargs[u"auto_scale"] else 1
vs_dtc = kwargs[u"vs_dtc"]
nf_dtc = kwargs[u"vs_dtc"] if kwargs[u"auto_scale"] \
else kwargs[u"nf_dtc"]
nf_dtcr = kwargs[u"nf_dtcr"] \
if isinstance(kwargs[u"nf_dtcr"], int) else 2
for nf_chain in range(1, nf_chains + 1):
for nf_node in range(1, nf_nodes + 1):
qemu_id = (nf_chain - 1) * nf_nodes + nf_node
name = f"{node}_{qemu_id}"
idx1 = (nf_chain - 1) * nf_nodes * 2 + nf_node * 2 - 1
vif1_mac = Topology.get_interface_mac(
self.nodes[node], f"vhost{idx1}"
) if kwargs[u"vnf"] == u"testpmd_mac" \
else kwargs[u"tg_pf1_mac"] if nf_node == 1 \
else f"52:54:00:00:{(qemu_id - 1):02x}:02"
idx2 = (nf_chain - 1) * nf_nodes * 2 + nf_node * 2
vif2_mac = Topology.get_interface_mac(
self.nodes[node], f"vhost{idx2}"
) if kwargs[u"vnf"] == u"testpmd_mac" \
else kwargs[u"tg_pf2_mac"] if nf_node == nf_nodes \
else f"52:54:00:00:{(qemu_id + 1):02x}:01"
self.machines_affinity[name] = CpuUtils.get_affinity_nf(
nodes=self.nodes, node=node, nf_chains=nf_chains,
nf_nodes=nf_nodes, nf_chain=nf_chain, nf_node=nf_node,
vs_dtc=vs_dtc, nf_dtc=nf_dtc, nf_dtcr=nf_dtcr
)
try:
getattr(self, f'_c_{kwargs["vnf"]}')(
qemu_id=qemu_id, name=name, queues=queues, **kwargs
)
except AttributeError:
self._c_default(
qemu_id=qemu_id, name=name, queues=queues,
vif1_mac=vif1_mac, vif2_mac=vif2_mac, **kwargs
)
def construct_vms_on_all_nodes(self, **kwargs):
"""Construct 1..Mx1..N VMs(s) with specified name on all nodes.
:param kwargs: Named parameters.
:type kwargs: dict
"""
self.initialize()
for node in self.nodes:
if self.nodes[node][u"type"] == NodeType.DUT:
self.construct_vms_on_node(node=node, **kwargs)
def start_all_vms(self, pinning=False):
"""Start all added VMs in manager.
:param pinning: If True, then do also QEMU process pinning.
:type pinning: bool
"""
cpus = []
for machine, machine_affinity in \
zip(self.machines.values(), self.machines_affinity.values()):
index = list(self.machines.values()).index(machine)
name = list(self.machines.keys())[index]
self.nodes[name] = machine.qemu_start()
if pinning:
machine.qemu_set_affinity(*machine_affinity)
cpus.extend(machine_affinity)
return ",".join(str(cpu) for cpu in cpus)
def kill_all_vms(self, force=False):
"""Kill all added VMs in manager.
:param force: Force kill all Qemu instances by pkill qemu if True.
:type force: bool
"""
for node in list(self.nodes.values()):
if node["type"] == NodeType.VM:
try:
self.nodes.popitem(node)
except TypeError:
pass
for machine in self.machines.values():
if force:
machine.qemu_kill_all()
else:
machine.qemu_kill()
def _c_default(self, **kwargs):
"""Instantiate one VM with default configuration.
:param kwargs: Named parameters.
:type kwargs: dict
"""
qemu_id = kwargs[u"qemu_id"]
name = kwargs[u"name"]
self.machines[name] = QemuUtils(
node=self.nodes[kwargs[u"node"]],
qemu_id=qemu_id,
smp=len(self.machines_affinity[name]),
mem=4096,
vnf=kwargs[u"vnf"],
img=Constants.QEMU_VM_KERNEL
)
self.machines[name].add_default_params()
self.machines[name].add_kernelvm_params()
self.machines[name].configure_kernelvm_vnf(
mac1=f"52:54:00:00:{qemu_id:02x}:01",
mac2=f"52:54:00:00:{qemu_id:02x}:02",
vif1_mac=kwargs[u"vif1_mac"],
vif2_mac=kwargs[u"vif2_mac"],
queues=kwargs[u"queues"],
jumbo_frames=kwargs[u"jumbo"]
)
self.machines[name].add_vhost_user_if(
f"/run/vpp/sock-{qemu_id}-1",
jumbo_frames=kwargs[u"jumbo"],
queues=kwargs[u"queues"],
queue_size=kwargs[u"perf_qemu_qsz"],
csum=kwargs[u"enable_csum"],
gso=kwargs[u"enable_gso"]
)
self.machines[name].add_vhost_user_if(
f"/run/vpp/sock-{qemu_id}-2",
jumbo_frames=kwargs[u"jumbo"],
queues=kwargs[u"queues"],
queue_size=kwargs[u"perf_qemu_qsz"],
csum=kwargs[u"enable_csum"],
gso=kwargs[u"enable_gso"]
)
def _c_vpp_2vfpt_ip4base_plen24(self, **kwargs):
"""Instantiate one VM with vpp_2vfpt_ip4base_plen24 configuration.
:param kwargs: Named parameters.
:type kwargs: dict
"""
qemu_id = kwargs[u"qemu_id"]
name = kwargs[u"name"]
self.machines[name] = QemuUtils(
node=self.nodes[kwargs[u"node"]],
qemu_id=qemu_id,
smp=len(self.machines_affinity[name]),
mem=4096,
vnf=kwargs[u"vnf"],
img=Constants.QEMU_VM_KERNEL
)
self.machines[name].add_default_params()
self.machines[name].add_kernelvm_params()
if u"DUT1" in name:
self.machines[name].configure_kernelvm_vnf(
ip1=u"2.2.2.1/30",
ip2=u"1.1.1.2/30",
route1=u"20.0.0.0/24",
routeif1=u"avf-0/0/6/0",
nexthop1=u"2.2.2.2",
route2=u"10.0.0.0/24",
routeif2=u"avf-0/0/7/0",
nexthop2=u"1.1.1.1",
arpmac1=u"3c:fd:fe:d1:5c:d8",
arpip1=u"1.1.1.1",
arpif1=u"avf-0/0/7/0",
queues=kwargs[u"queues"],
jumbo_frames=kwargs[u"jumbo"]
)
else:
self.machines[name].configure_kernelvm_vnf(
ip1=u"3.3.3.2/30",
ip2=u"2.2.2.2/30",
route1=u"10.0.0.0/24",
routeif1=u"avf-0/0/7/0",
nexthop1=u"2.2.2.1",
route2=u"20.0.0.0/24",
routeif2=u"avf-0/0/6/0",
nexthop2=u"3.3.3.1",
arpmac1=u"3c:fd:fe:d1:5c:d9",
arpip1=u"3.3.3.1",
arpif1=u"avf-0/0/6/0",
queues=kwargs[u"queues"],
jumbo_frames=kwargs[u"jumbo"]
)
self.machines[name].add_vfio_pci_if(
pci=Topology.get_interface_pci_addr(
self.nodes[kwargs[u"node"]], kwargs[u"if2"])
)
self.machines[name].add_vfio_pci_if(
pci=Topology.get_interface_pci_addr(
self.nodes[kwargs[u"node"]], kwargs[u"if1"])
)
def _c_vpp_2vfpt_ip4scale2k_plen30(self, **kwargs):
"""Instantiate one VM with vpp_2vfpt_ip4scale2k_plen30 configuration.
:param kwargs: Named parameters.
:type kwargs: dict
"""
qemu_id = kwargs[u"qemu_id"]
name = kwargs[u"name"]
self.machines[name] = QemuUtils(
node=self.nodes[kwargs[u"node"]],
qemu_id=qemu_id,
smp=len(self.machines_affinity[name]),
mem=4096,
vnf=kwargs[u"vnf"],
img=Constants.QEMU_VM_KERNEL
)
self.machines[name].add_default_params()
self.machines[name].add_kernelvm_params()
if u"DUT1" in name:
self.machines[name].configure_kernelvm_vnf(
ip1=u"2.2.2.1/30",
ip2=u"1.1.1.2/30",
route1=u"20.0.0.0/30",
routeif1=u"avf-0/0/6/0",
nexthop1=u"2.2.2.2",
route2=u"10.0.0.0/30",
routeif2=u"avf-0/0/7/0",
nexthop2=u"1.1.1.1",
arpmac1=u"3c:fd:fe:d1:5c:d8",
arpip1=u"1.1.1.1",
arpif1=u"avf-0/0/7/0",
queues=kwargs[u"queues"],
jumbo_frames=kwargs[u"jumbo"]
)
else:
self.machines[name].configure_kernelvm_vnf(
ip1=u"3.3.3.2/30",
ip2=u"2.2.2.2/30",
route1=u"10.0.0.0/30",
routeif1=u"avf-0/0/7/0",
nexthop1=u"2.2.2.1",
route2=u"20.0.0.0/30",
routeif2=u"avf-0/0/6/0",
nexthop2=u"3.3.3.1",
arpmac1=u"3c:fd:fe:d1:5c:d9",
arpip1=u"3.3.3.1",
arpif1=u"avf-0/0/6/0",
queues=kwargs[u"queues"],
jumbo_frames=kwargs[u"jumbo"]
)
self.machines[name].add_vfio_pci_if(
pci=Topology.get_interface_pci_addr(
self.nodes[kwargs[u"node"]], kwargs[u"if2"])
)
self.machines[name].add_vfio_pci_if(
pci=Topology.get_interface_pci_addr(
self.nodes[kwargs[u"node"]], kwargs[u"if1"])
)
def _c_vpp_2vfpt_ip4scale20k_plen30(self, **kwargs):
"""Instantiate one VM with vpp_2vfpt_ip4scale20k_plen30 configuration.
:param kwargs: Named parameters.
:type kwargs: dict
"""
qemu_id = kwargs[u"qemu_id"]
name = kwargs[u"name"]
self.machines[name] = QemuUtils(
node=self.nodes[kwargs[u"node"]],
qemu_id=qemu_id,
smp=len(self.machines_affinity[name]),
mem=4096,
vnf=kwargs[u"vnf"],
img=Constants.QEMU_VM_KERNEL
)
self.machines[name].add_default_params()
self.machines[name].add_kernelvm_params()
if u"DUT1" in name:
self.machines[name].configure_kernelvm_vnf(
ip1=u"2.2.2.1/30",
ip2=u"1.1.1.2/30",
route1=u"20.0.0.0/30",
routeif1=u"avf-0/0/6/0",
nexthop1=u"2.2.2.2",
route2=u"10.0.0.0/30",
routeif2=u"avf-0/0/7/0",
nexthop2=u"1.1.1.1",
arpmac1=u"3c:fd:fe:d1:5c:d8",
arpip1=u"1.1.1.1",
arpif1=u"avf-0/0/7/0",
queues=kwargs[u"queues"],
jumbo_frames=kwargs[u"jumbo"]
)
else:
self.machines[name].configure_kernelvm_vnf(
ip1=u"3.3.3.2/30",
ip2=u"2.2.2.2/30",
route1=u"10.0.0.0/30",
routeif1=u"avf-0/0/7/0",
nexthop1=u"2.2.2.1",
route2=u"20.0.0.0/30",
routeif2=u"avf-0/0/6/0",
nexthop2=u"3.3.3.1",
arpmac1=u"3c:fd:fe:d1:5c:d9",
arpip1=u"3.3.3.1",
arpif1=u"avf-0/0/6/0",
queues=kwargs[u"queues"],
jumbo_frames=kwargs[u"jumbo"]
)
self.machines[name].add_vfio_pci_if(
pci=Topology.get_interface_pci_addr(
self.nodes[kwargs[u"node"]], kwargs[u"if2"])
)
self.machines[name].add_vfio_pci_if(
pci=Topology.get_interface_pci_addr(
self.nodes[kwargs[u"node"]], kwargs[u"if1"])
)
def _c_vpp_2vfpt_ip4scale200k_plen30(self, **kwargs):
"""Instantiate one VM with vpp_2vfpt_ip4scale200k_plen30 configuration.
:param kwargs: Named parameters.
:type kwargs: dict
"""
qemu_id = kwargs[u"qemu_id"]
name = kwargs[u"name"]
self.machines[name] = QemuUtils(
node=self.nodes[kwargs[u"node"]],
qemu_id=qemu_id,
smp=len(self.machines_affinity[name]),
mem=4096,
vnf=kwargs[u"vnf"],
img=Constants.QEMU_VM_KERNEL
)
self.machines[name].add_default_params()
self.machines[name].add_kernelvm_params()
if u"DUT1" in name:
self.machines[name].configure_kernelvm_vnf(
ip1=u"2.2.2.1/30",
ip2=u"1.1.1.2/30",
route1=u"20.0.0.0/30",
routeif1=u"avf-0/0/6/0",
nexthop1=u"2.2.2.2",
route2=u"10.0.0.0/30",
routeif2=u"avf-0/0/7/0",
nexthop2=u"1.1.1.1",
arpmac1=u"3c:fd:fe:d1:5c:d8",
arpip1=u"1.1.1.1",
arpif1=u"avf-0/0/7/0",
queues=kwargs[u"queues"],
jumbo_frames=kwargs[u"jumbo"]
)
else:
self.machines[name].configure_kernelvm_vnf(
ip1=u"3.3.3.2/30",
ip2=u"2.2.2.2/30",
route1=u"10.0.0.0/30",
routeif1=u"avf-0/0/7/0",
nexthop1=u"2.2.2.1",
route2=u"20.0.0.0/30",
routeif2=u"avf-0/0/6/0",
nexthop2=u"3.3.3.1",
arpmac1=u"3c:fd:fe:d1:5c:d9",
arpip1=u"3.3.3.1",
arpif1=u"avf-0/0/6/0",
queues=kwargs[u"queues"],
jumbo_frames=kwargs[u"jumbo"]
)
self.machines[name].add_vfio_pci_if(
pci=Topology.get_interface_pci_addr(
self.nodes[kwargs[u"node"]], kwargs[u"if2"])
)
self.machines[name].add_vfio_pci_if(
pci=Topology.get_interface_pci_addr(
self.nodes[kwargs[u"node"]], kwargs[u"if1"])
)
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58,
84,
1,
25297,
62,
79,
69,
16,
62,
20285,
8973,
611,
299,
69,
62,
17440,
6624,
352,
3467,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
277,
1,
4309,
25,
4051,
25,
405,
25,
405,
29164,
7,
80,
368,
84,
62,
312,
532,
352,
2599,
2999,
87,
38362,
2999,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4686,
87,
17,
796,
357,
77,
69,
62,
7983,
532,
352,
8,
1635,
299,
69,
62,
77,
4147,
1635,
362,
1343,
299,
69,
62,
17440,
1635,
362,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
410,
361,
17,
62,
20285,
796,
5849,
1435,
13,
1136,
62,
39994,
62,
20285,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
77,
4147,
58,
17440,
4357,
277,
1,
85,
4774,
90,
312,
87,
17,
36786,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
611,
479,
86,
22046,
58,
84,
1,
85,
77,
69,
8973,
6624,
334,
1,
9288,
4426,
67,
62,
20285,
1,
3467,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
479,
86,
22046,
58,
84,
1,
25297,
62,
79,
69,
17,
62,
20285,
8973,
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299,
69,
62,
17440,
6624,
299,
69,
62,
77,
4147,
3467,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
277,
1,
4309,
25,
4051,
25,
405,
25,
405,
29164,
7,
80,
368,
84,
62,
312,
1343,
352,
2599,
2999,
87,
38362,
486,
1,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
76,
620,
1127,
62,
2001,
6269,
58,
3672,
60,
796,
327,
19944,
18274,
4487,
13,
1136,
62,
2001,
6269,
62,
77,
69,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13760,
28,
944,
13,
77,
4147,
11,
10139,
28,
17440,
11,
299,
69,
62,
38861,
28,
77,
69,
62,
38861,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
299,
69,
62,
77,
4147,
28,
77,
69,
62,
77,
4147,
11,
299,
69,
62,
7983,
28,
77,
69,
62,
7983,
11,
299,
69,
62,
17440,
28,
77,
69,
62,
17440,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3691,
62,
67,
23047,
28,
14259,
62,
67,
23047,
11,
299,
69,
62,
67,
23047,
28,
77,
69,
62,
67,
23047,
11,
299,
69,
62,
28664,
6098,
28,
77,
69,
62,
28664,
6098,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
651,
35226,
7,
944,
11,
277,
6,
62,
66,
23330,
46265,
22046,
14692,
85,
77,
69,
8973,
92,
6,
5769,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
10662,
368,
84,
62,
312,
28,
80,
368,
84,
62,
312,
11,
1438,
28,
3672,
11,
43359,
28,
4188,
947,
11,
12429,
46265,
22046,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2845,
3460,
4163,
12331,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
66,
62,
12286,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
10662,
368,
84,
62,
312,
28,
80,
368,
84,
62,
312,
11,
1438,
28,
3672,
11,
43359,
28,
4188,
947,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
410,
361,
16,
62,
20285,
28,
85,
361,
16,
62,
20285,
11,
410,
361,
17,
62,
20285,
28,
85,
361,
17,
62,
20285,
11,
12429,
46265,
22046,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
825,
5678,
62,
85,
907,
62,
261,
62,
439,
62,
77,
4147,
7,
944,
11,
12429,
46265,
22046,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
42316,
352,
492,
44,
87,
16,
492,
45,
569,
10128,
7,
82,
8,
351,
7368,
1438,
319,
477,
13760,
13,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
479,
86,
22046,
25,
34441,
10007,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
479,
86,
22046,
25,
8633,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
36733,
1096,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
329,
10139,
287,
2116,
13,
77,
4147,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
2116,
13,
77,
4147,
58,
17440,
7131,
84,
1,
4906,
8973,
6624,
19081,
6030,
13,
35,
3843,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
41571,
62,
85,
907,
62,
261,
62,
17440,
7,
17440,
28,
17440,
11,
12429,
46265,
22046,
8,
628,
220,
220,
220,
825,
923,
62,
439,
62,
85,
907,
7,
944,
11,
6757,
768,
28,
25101,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
10434,
477,
2087,
569,
10128,
287,
4706,
13,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
6757,
768,
25,
1002,
6407,
11,
788,
466,
635,
1195,
3620,
52,
1429,
6757,
768,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
6757,
768,
25,
20512,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
31396,
385,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
329,
4572,
11,
4572,
62,
2001,
6269,
287,
3467,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
19974,
7,
944,
13,
76,
620,
1127,
13,
27160,
22784,
2116,
13,
76,
620,
1127,
62,
2001,
6269,
13,
27160,
3419,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6376,
796,
1351,
7,
944,
13,
76,
620,
1127,
13,
27160,
3419,
737,
9630,
7,
30243,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1438,
796,
1351,
7,
944,
13,
76,
620,
1127,
13,
13083,
28955,
58,
9630,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
77,
4147,
58,
3672,
60,
796,
4572,
13,
80,
368,
84,
62,
9688,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
6757,
768,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4572,
13,
80,
368,
84,
62,
2617,
62,
2001,
6269,
46491,
30243,
62,
2001,
6269,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31396,
385,
13,
2302,
437,
7,
30243,
62,
2001,
6269,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
366,
553,
13,
22179,
7,
2536,
7,
36166,
8,
329,
42804,
287,
31396,
385,
8,
628,
220,
220,
220,
825,
1494,
62,
439,
62,
85,
907,
7,
944,
11,
2700,
28,
25101,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
27100,
477,
2087,
569,
10128,
287,
4706,
13,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
2700,
25,
5221,
1494,
477,
1195,
368,
84,
10245,
416,
279,
12728,
10662,
368,
84,
611,
6407,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
2700,
25,
20512,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
329,
10139,
287,
1351,
7,
944,
13,
77,
4147,
13,
27160,
3419,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
10139,
14692,
4906,
8973,
6624,
19081,
6030,
13,
15996,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
77,
4147,
13,
12924,
9186,
7,
17440,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2845,
5994,
12331,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1208,
198,
220,
220,
220,
220,
220,
220,
220,
329,
4572,
287,
2116,
13,
76,
620,
1127,
13,
27160,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
2700,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4572,
13,
80,
368,
84,
62,
12728,
62,
439,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4572,
13,
80,
368,
84,
62,
12728,
3419,
628,
220,
220,
220,
825,
4808,
66,
62,
12286,
7,
944,
11,
12429,
46265,
22046,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
49933,
9386,
530,
16990,
351,
4277,
8398,
13,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
479,
86,
22046,
25,
34441,
10007,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
4906,
479,
86,
22046,
25,
8633,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
10662,
368,
84,
62,
312,
796,
479,
86,
22046,
58,
84,
1,
80,
368,
84,
62,
312,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
1438,
796,
479,
86,
22046,
58,
84,
1,
3672,
8973,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
76,
620,
1127,
58,
3672,
60,
796,
1195,
368,
84,
18274,
4487,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
10139,
28,
944,
13,
77,
4147,
58,
46265,
22046,
58,
84,
1,
17440,
8973,
4357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
10662,
368,
84,
62,
312,
28,
80,
368,
84,
62,
312,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
895,
79,
28,
11925,
7,
944,
13,
76,
620,
1127,
62,
2001,
6269,
58,
3672,
46570,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1066,
28,
1821,
4846,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
410,
77,
69,
28,
46265,
22046,
58,
84,
1,
85,
77,
69,
33116,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
33705,
28,
34184,
1187,
13,
48,
3620,
52,
62,
15996,
62,
42,
28778,
3698,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
76,
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220,
220,
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1267,
198
] | 1.606571 | 9,740 |
from eve import Eve
from eve_sqlalchemy import SQL
from eve_sqlalchemy.validation import ValidatorSQL
from sqlalchemy.engine.url import URL
try:
from eve_docs import eve_docs
from flask.ext.bootstrap import Bootstrap
except ImportError:
Bootstrap = None
from utvsapi.tables import domain, Base, on_fetched_item, on_fetched_resource
from utvsapi.auth import BearerAuth
url = URL('mysql', query={'read_default_file': './mysql.cnf'})
SETTINGS = {
'SQLALCHEMY_DATABASE_URI': url,
'SQLALCHEMY_TRACK_MODIFICATIONS': False,
'DOMAIN': domain,
'API_NAME': 'UTVS API',
}
app = Eve(auth=BearerAuth, settings=SETTINGS, validator=ValidatorSQL, data=SQL)
app.on_fetched_item += on_fetched_item
app.on_fetched_resource += on_fetched_resource
if Bootstrap:
Bootstrap(app)
app.register_blueprint(eve_docs, url_prefix='/docs')
db = app.data.driver
Base.metadata.bind = db.engine
db.Model = Base
if __name__ == '__main__':
app.run(debug=True)
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] | 2.695291 | 361 |
#!/usr/bin/env python
'''
Write to a yaml and json file for a list and dictionary variable
'''
import yaml
import json
if __name__ == "__main__":
main()
| [
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] | 2.839286 | 56 |
import argparse
import os
import json
import glob
from os.path import join as pjoin
from others.vocab_wrapper import VocabWrapper
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-mode", default='word2vec', type=str, choices=['glove', 'word2vec'])
parser.add_argument("-data_path", default="", type=str)
parser.add_argument("-emb_size", default=100, type=int)
parser.add_argument("-emb_path", default="", type=str)
args = parser.parse_args()
train_emb(args)
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628,
220,
220,
220,
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62,
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7,
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8,
198
] | 2.822581 | 186 |
"""Modules for working with returns.
Offers common financial risk and performance metrics as found in [empyrical](https://github.com/quantopian/empyrical),
but Numba-compiled and optimized for 2-dim arrays.
## Accessors
You can access methods listed in `vectorbt.returns.accessors` as follows:
* `vectorbt.returns.accessors.ReturnsSRAccessor` -> `pd.Series.vbt.returns.*`
* `vectorbt.returns.accessors.ReturnsDFAccessor` -> `pd.DataFrame.vbt.returns.*`
```python-repl
>>> import numpy as np
>>> import pandas as pd
>>> import vectorbt as vbt
>>> # vectorbt.returns.accessors.ReturnsAccessor.total
>>> price = pd.Series([1.1, 1.2, 1.3, 1.2, 1.1])
>>> returns = price.pct_change()
>>> returns.vbt.returns.total()
0.0
```
The accessors extend `vectorbt.generic.accessors`.
```python-repl
>>> # inherited from GenericAccessor
>>> returns.vbt.returns.max()
0.09090909090909083
```
!!! note
The underlying Series/DataFrame must already be a return series.
## Numba-compiled functions
Module `vectorbt.returns.nb` provides an arsenal of Numba-compiled functions that are used by accessors
and for measuring portfolio performance. These only accept NumPy arrays and other Numba-compatible types.
```python-repl
>>> # vectorbt.returns.nb.cum_returns_1d_nb
>>> vbt.returns.nb.cum_returns_1d_nb(returns.values)
array([0., 0.09090909, 0.18181818, 0.09090909, 0.])
```"""
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] | 2.890756 | 476 |
#%% [markdown]
## Strings (parte 1)
dir(str)
nome = 'Victor Mello'
nome
#Acessando um caracter de uma string
nome[0]
# nome[0] = 'P' #Erro! Strings são imutáveis
"""OBS: quando se tem uma string cujo conteúdo já possui
aspas simples, para evitar erro de sintaxe, tem-se 2 opções:
1) Delimitar a string com aspas duplas e dentro dela colocar
entre aspas simples;
2) Delimitar a string com aspas simples, mas utilizando
o caracter de escape \ antes de colocar mais aspas simples
no conteúdo
"""
#Exemplo
"Marca d'água" == 'Marca d\'água'
texto = "Teste \"funciona!"
"""Texto com múltiplas linhas com \,
mas é executado um texto de uma única linha"""
#Exemplo
texto2 = 'Texto entre \
apóstrofos pode ter "aspas"'
texto3 = """Texto com múltiplas linhas com aspas triplas,
assim como comentário"""
#Neste caso, será impresso um texto de uma única linha com \n indicando quebra de linha
texto3
#No entanto, com print(), o resultado é de fato um texto com quebra de linhas
print(texto3)
#Da mesma forma se imprimir um texto da mesma linha com \n
print('Texto com múltiplas linhas com aspas triplas,\nassim como comentário')
# %% [markdown]
## Strings (Parte 2)
#Acessando o caracter da string da direita para esquerda
nome[-4]
#Acessando uma substring a partir de um conjunto de caracteres
nome[4:] #Começando com índice 4
nome[-5:] #Começando com índice -5, da direita para esqueda
#Acessando do início da string até o índice 6 (exclusive)
nome[:6]
#Acessando do índice 1 até o índice 4 (exclusive)
nome[1:4]
numeros = '123456789'
numeros
# numeros[::] #Equivalente ao resultado anterior
numeros[::2] #Acessando os caracteres de 2 em 2 caracteres
numeros[1::2] #Acessando os caracteres a partir de íncide 1, de 2 em 2 caracteres
#Invertendo uma string
numeros[::-1]
#Invertendo uma string de 2 em 2 caracteres
numeros[::-2]
# %% [markdown]
## Strings (parte 3)
frase = 'Olá, meu nome é Victor e sou legal'
#Usando operador membro no contexto de string
#Exemplo 1
'Vic' in frase
'vic' not in frase
#Exibindo o tamanho da string
len(frase)
#Gerando uma nova string em caixa baixa
frase.lower()
'vic' in frase.lower()
#Gerando uma nova string em caixa alta
frase.upper()
'VIC' in frase.upper()
#Modificando o conteúdo da string
frase = frase.upper()
frase
#Dividindo a string em um array de strings (substrings, melhor dizendo)
frase.split()
#Dividindo a string quebrando o caracter 'E'
frase.split('E')
# %% [markdown]
## Strings (parte 4)
#Métodos mágicos de strings
# dir(str)
a = '123 '
b = 'Santos de Mello'
a + b
#Equivalentes ao operador de concatenação '+'
a.__add__(b)
str.__add__(a, b)
len(a)
#Equivalentes ao método len() normal
a.__len__()
str.__len__(a)
'1' in a
#Equivalentes ao operador membro 'in'
a.__contains__('1')
str.__contains__(a, '1') | [
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] | 2.318257 | 1,216 |
import numpy as np
from numpy.testing import assert_allclose
from scipy.integrate import trapz
import pytest
from kinematic_snake.kinematic_snake import zero_mean_integral, project, KinematicSnake
# TODO Add more tests
| [
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] | 3.125 | 72 |
import gym
import numpy as np
print(gym.__file__)
print(dir(gym))
env = gym.make('FrozenLake-v0')
q_table = np.zeros([env.observation_space.n, env.action_space.n])
print(env.render())
if __name__ == "__main__":
lr = 0.8
discount_factor = 0.95
num_episodes = 2000
reward_list = []
for i in range(num_episodes):
reward_total_sum = 0
done = False
j = 0
current_state = env.reset()
while j < 99:
j += 1
action = np.argmax(q_table[current_state, :] + np.random.randn(1, env.action_space.n) * (1./(i + 1)))
next_state, reward, done, _ = env.step(action)
q_table[current_state, action] = q_table[current_state, action] + \
lr * (reward + discount_factor * np.max(q_table[next_state, :]) -
q_table[current_state, action])
reward_total_sum += reward
current_state = next_state
if done:
break
reward_list.append(reward_total_sum)
print('score over time:' + str(sum(reward_list)/num_episodes))
print(q_table) | [
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] | 1.966443 | 596 |
# coding: utf-8
"""*****************************************************************************
* Copyright (C) 2018 Microchip Technology Inc. and its subsidiaries.
*
* Subject to your compliance with these terms, you may use Microchip software
* and any derivatives exclusively with Microchip products. It is your
* responsibility to comply with third party license terms applicable to your
* use of third party software (including open source software) that may
* accompany Microchip software.
*
* THIS SOFTWARE IS SUPPLIED BY MICROCHIP "AS IS". NO WARRANTIES, WHETHER
* EXPRESS, IMPLIED OR STATUTORY, APPLY TO THIS SOFTWARE, INCLUDING ANY IMPLIED
* WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A
* PARTICULAR PURPOSE.
*
* IN NO EVENT WILL MICROCHIP BE LIABLE FOR ANY INDIRECT, SPECIAL, PUNITIVE,
* INCIDENTAL OR CONSEQUENTIAL LOSS, DAMAGE, COST OR EXPENSE OF ANY KIND
* WHATSOEVER RELATED TO THE SOFTWARE, HOWEVER CAUSED, EVEN IF MICROCHIP HAS
* BEEN ADVISED OF THE POSSIBILITY OR THE DAMAGES ARE FORESEEABLE. TO THE
* FULLEST EXTENT ALLOWED BY LAW, MICROCHIP'S TOTAL LIABILITY ON ALL CLAIMS IN
* ANY WAY RELATED TO THIS SOFTWARE WILL NOT EXCEED THE AMOUNT OF FEES, IF ANY,
* THAT YOU HAVE PAID DIRECTLY TO MICROCHIP FOR THIS SOFTWARE.
*****************************************************************************"""
global InterruptVector
InterruptVector = []
global InterruptHandler
InterruptHandler = []
global InterruptHandlerLock
InterruptHandlerLock = []
global InterruptVectorUpdate
InterruptVectorUpdate = []
global tccInstanceName
global intPrev
intPrev = 0
global numOfChannels
tccSym_Channel_Menu = []
tccSym_Channel_CC = []
tccSym_Channel_Polarity = []
tccSym_Channel_Polarity_NPWM = []
tccSym_Channel_WAVE_SWAP = []
tccSym_Channel_WEXCTRL_DTIEN = []
tccSym_Channel_INTENSET_MC = []
tccSym_Channel_EVCTRL_MCEO = []
tccSym_Channel_EVCTRL_MCEI = []
tccSym_DRVCTRL_NRE_NRV = []
tccSym_PATT_PGE = []
tccSym_PATT_PGV = []
###################################################################################################
########################################## Callbacks #############################################
###################################################################################################
################################################################################
#### Dependency ####
################################################################################
global lastPwmChU
lastPwmChU = 0
global lastPwmChV
lastPwmChV = 1
global lastPwmChW
lastPwmChW = 2
###################################################################################################
########################################## Component #############################################
###################################################################################################
| [
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import datetime
from floodsystem.analysis import polyfit
from floodsystem.datafetcher import fetch_measure_levels
from floodsystem.stationdata import build_station_list, update_water_levels
from floodsystem.plot import plot_water_level_with_fit
from floodsystem.utils import sorted_by_key
if __name__ == "__main__":
print("*** Task 2F: CUED Part IA Flood Warning System ***")
run() | [
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# series.py
# Copyright (c) 2013-2016 Pablo Acosta-Serafini
# See LICENSE for details
# pylint: disable=C0111,C0302,E0102,E0611,W0105
# PyPI imports
import numpy
import matplotlib.path
import matplotlib.pyplot as plt
from scipy.stats import linregress
from scipy.interpolate import InterpolatedUnivariateSpline
# Putil imports
import putil.misc
import putil.pcontracts
from .functions import _C
from .constants import LEGEND_SCALE, LINE_WIDTH, MARKER_SIZE
###
# Exception tracing initialization code
###
"""
[[[cog
import os, sys
if sys.hexversion < 0x03000000:
import __builtin__
else:
import builtins as __builtin__
sys.path.append(os.environ['TRACER_DIR'])
import trace_ex_plot_series
exobj_plot = trace_ex_plot_series.trace_module(no_print=True)
]]]
[[[end]]]
"""
###
# Class
###
class Series(object):
r"""
Specifies a series within a panel
:param data_source: Data source object
:type data_source: :py:class:`putil.plot.BasicSource`,
:py:class:`putil.plot.CsvSource` *or others
conforming to the data source specification*
:param label: Series label, to be used in the panel legend
:type label: string
:param color: Series color. All `Matplotlib colors
<http://matplotlib.org/api/colors_api.html>`_
are supported
:type color: polymorphic
:param marker: Marker type. All `Matplotlib marker types
<http://matplotlib.org/api/markers_api.html>`_
are supported. None indicates no marker
:type marker: string or None
:param interp: Interpolation option (case insensitive), one of None (no
interpolation) 'STRAIGHT' (straight line connects data
points), 'STEP' (horizontal segments between data points),
'CUBIC' (cubic interpolation between data points) or
'LINREG' (linear regression based on data points). The
interpolation option is case insensitive
:type interp: :ref:`InterpolationOption` *or None*
:param line_style: Line style. All `Matplotlib line styles
<http://matplotlib.org/api/artist_api.html#
matplotlib.lines.Line2D.set_linestyle>`_ are supported.
None indicates no line
:type line_style: :ref:`LineStyleOption` *or None*
:param secondary_axis: Flag that indicates whether the series belongs to
the panel primary axis (False) or secondary axis
(True)
:type secondary_axis: boolean
.. [[[cog cog.out(exobj_plot.get_sphinx_autodoc()) ]]]
.. Auto-generated exceptions documentation for
.. putil.plot.series.Series.__init__
:raises:
* RuntimeError (Argument \`color\` is not valid)
* RuntimeError (Argument \`data_source\` does not have an \`dep_var\`
attribute)
* RuntimeError (Argument \`data_source\` does not have an
\`indep_var\` attribute)
* RuntimeError (Argument \`data_source\` is not fully specified)
* RuntimeError (Argument \`interp\` is not valid)
* RuntimeError (Argument \`label\` is not valid)
* RuntimeError (Argument \`line_style\` is not valid)
* RuntimeError (Argument \`marker\` is not valid)
* RuntimeError (Argument \`secondary_axis\` is not valid)
* TypeError (Invalid color specification)
* ValueError (Argument \`interp\` is not one of ['STRAIGHT', 'STEP',
'CUBIC', 'LINREG'] (case insensitive))
* ValueError (Argument \`line_style\` is not one of ['-', '--', '-.',
':'])
* ValueError (Arguments \`indep_var\` and \`dep_var\` must have the
same number of elements)
* ValueError (At least 4 data points are needed for CUBIC
interpolation)
.. [[[end]]]
"""
# pylint: disable=R0902,R0903,R0913
@putil.pcontracts.contract(label='None|str')
@putil.pcontracts.contract(color='real_num|str|list|tuple')
@putil.pcontracts.contract(interp='interpolation_option')
@putil.pcontracts.contract(line_style='line_style_option')
@putil.pcontracts.contract(secondary_axis='None|bool')
def __str__(self):
""" Print series object information """
ret = ''
ret += 'Independent variable: {0}\n'.format(
putil.eng.pprint_vector(self.indep_var, width=50)
)
ret += 'Dependent variable: {0}\n'.format(
putil.eng.pprint_vector(self.dep_var, width=50)
)
ret += 'Label: {0}\n'.format(self.label)
ret += 'Color: {0}\n'.format(self.color)
ret += 'Marker: {0}\n'.format(self._print_marker())
ret += 'Interpolation: {0}\n'.format(self.interp)
ret += 'Line style: {0}\n'.format(self.line_style)
ret += 'Secondary axis: {0}'.format(self.secondary_axis)
return ret
def _check_series_is_plottable(self):
"""
Check that the combination of marker, line style and line width width
will produce a printable series
"""
return (
not (((self._marker_spec == '') and
((not self.interp) or
(not self.line_style))) or
(self.color in [None, '']))
)
def _validate_source_length_cubic_interp(self):
"""
Test if data source has minimum length to calculate cubic interpolation
"""
# pylint: disable=C0103
putil.exh.addex(
ValueError,
'At least 4 data points are needed for CUBIC interpolation',
(self.interp == 'CUBIC') and (self.indep_var is not None) and
(self.dep_var is not None) and (self.indep_var.shape[0] < 4)
)
def _validate_marker(self, marker):
""" Validate if marker specification is valid """
# pylint: disable=R0201
try:
plt.plot(range(10), marker=marker)
except ValueError:
return False
except: # pragma: no cover
raise
return True
def _print_marker(self):
""" Returns marker description """
marker_consts = [
{
'value':matplotlib.markers.TICKLEFT,
'repr':'matplotlib.markers.TICKLEFT'
},
{
'value':matplotlib.markers.TICKRIGHT,
'repr':'matplotlib.markers.TICKRIGHT'
},
{
'value':matplotlib.markers.TICKUP,
'repr':'matplotlib.markers.TICKUP'
},
{
'value':matplotlib.markers.TICKDOWN,
'repr':'matplotlib.markers.TICKDOWN'
},
{
'value':matplotlib.markers.CARETLEFT,
'repr':'matplotlib.markers.CARETLEFT'
},
{
'value':matplotlib.markers.CARETRIGHT,
'repr':'matplotlib.markers.CARETRIGHT'
},
{
'value':matplotlib.markers.CARETUP,
'repr':'matplotlib.markers.CARETUP'
},
{
'value':matplotlib.markers.CARETDOWN,
'repr':'matplotlib.markers.CARETDOWN'
}
]
marker_none = ["None", None, ' ', '']
if self.marker in marker_none:
return 'None'
for const_dict in marker_consts:
if self.marker == const_dict['value']:
return const_dict['repr']
if isinstance(self.marker, str):
return self.marker
if isinstance(self.marker, matplotlib.path.Path):
return 'matplotlib.path.Path object'
return str(self.marker)
def _get_complete(self):
"""
Returns True if series is fully specified, otherwise returns False
"""
return self.data_source is not None
def _calculate_curve(self):
""" Compute curve to interpolate between data points """
# pylint: disable=E1101,W0612
if _C(self.interp, self.indep_var, self.dep_var):
if self.interp == 'CUBIC':
# Add 20 points between existing points
self.interp_indep_var = numpy.array([])
iobj = zip(self.indep_var[:-1], self.indep_var[1:])
for start, stop in iobj:
self.interp_indep_var = numpy.concatenate(
(
self.interp_indep_var,
numpy.linspace(start, stop, 20, endpoint=False)
)
)
self.interp_indep_var = numpy.concatenate(
(self.interp_indep_var, [self.indep_var[-1]])
)
spl = InterpolatedUnivariateSpline(
self.indep_var, self.dep_var
)
self.interp_dep_var = spl(self.interp_indep_var)
elif self.interp == 'LINREG':
slope, intercept, _, _, _ = linregress(
self.indep_var, self.dep_var
)
self.interp_indep_var = self.indep_var
self.interp_dep_var = intercept+(slope*self.indep_var)
self._scale_indep_var(self._scaling_factor_indep_var)
self._scale_dep_var(self._scaling_factor_dep_var)
def _scale_indep_var(self, scaling_factor):
""" Scale independent variable """
self._scaling_factor_indep_var = float(scaling_factor)
self.scaled_indep_var = (
self.indep_var/self._scaling_factor_indep_var
if self.indep_var is not None else
self.scaled_indep_var
)
self.scaled_interp_indep_var = (
self.interp_indep_var/self._scaling_factor_indep_var
if self.interp_indep_var is not None else
self.scaled_interp_indep_var
)
def _scale_dep_var(self, scaling_factor):
""" Scale dependent variable """
self._scaling_factor_dep_var = float(scaling_factor)
self.scaled_dep_var = (
self.dep_var/self._scaling_factor_dep_var
if self.dep_var is not None else
self.scaled_dep_var
)
self.scaled_interp_dep_var = (
self.interp_dep_var/self._scaling_factor_dep_var
if self.interp_dep_var is not None else
self.scaled_interp_dep_var
)
def _update_linestyle_spec(self):
""" Update line style specification to be used in series drawing """
self._linestyle_spec = (
self.line_style if _C(self.line_style, self.interp) else ''
)
def _update_linewidth_spec(self):
""" Update line width specification to be used in series drawing """
self._linewidth_spec = (
self._ref_linewidth if _C(self.line_style, self.interp) else 0.0
)
def _legend_artist(self, legend_scale=None):
""" Creates artist (marker -if used- and line style -if used-) """
legend_scale = LEGEND_SCALE if legend_scale is None else legend_scale
return plt.Line2D(
(0, 1),
(0, 0),
color=self.color,
marker=self._marker_spec,
linestyle=self._linestyle_spec,
linewidth=self._linewidth_spec/legend_scale,
markeredgecolor=self.color,
markersize=self._ref_markersize/legend_scale,
markeredgewidth=self._ref_markeredgewidth/legend_scale,
markerfacecolor=self._ref_markerfacecolor
)
def _draw_series(self, axarr, log_indep, log_dep):
""" Draw series """
if self._check_series_is_plottable():
flist = [axarr.plot, axarr.semilogx, axarr.semilogy, axarr.loglog]
fplot = flist[2*log_dep+log_indep]
# Plot line
if self._linestyle_spec != '':
fplot(
self.scaled_indep_var
if self.interp in ['STRAIGHT', 'STEP'] else
self.scaled_interp_indep_var,
self.scaled_dep_var
if self.interp in ['STRAIGHT', 'STEP'] else
self.scaled_interp_dep_var,
color=self.color,
linestyle=self.line_style,
linewidth=self._ref_linewidth,
drawstyle=(
'steps-post' if self.interp == 'STEP' else 'default'
),
label=self.label
)
# Plot markers
if self._marker_spec != '':
fplot(
self.scaled_indep_var,
self.scaled_dep_var,
color=self.color,
linestyle='',
linewidth=0,
drawstyle=(
'steps-post' if self.interp == 'STEP' else 'default'
),
marker=self._marker_spec,
markeredgecolor=self.color,
markersize=self._ref_markersize,
markeredgewidth=self._ref_markeredgewidth,
markerfacecolor=self._ref_markerfacecolor,
label=self.label if self.line_style is None else None
)
# Managed attributes
_complete = property(_get_complete)
color = property(
_get_color, _set_color, doc='Series line and marker color'
)
r"""
Gets or sets the series line and marker color. All `Matplotlib colors
<http://matplotlib.org/api/colors_api.html>`_ are supported
:type: polymorphic
.. [[[cog cog.out(exobj_plot.get_sphinx_autodoc()) ]]]
.. Auto-generated exceptions documentation for
.. putil.plot.series.Series.color
:raises: (when assigned)
* RuntimeError (Argument \`color\` is not valid)
* TypeError (Invalid color specification)
.. [[[end]]]
"""
data_source = property(
_get_data_source, _set_data_source, doc='Data source'
)
r"""
Gets or sets the data source object. The independent and dependent data
sets are obtained once this attribute is set. To be valid, a data source
object must have an ``indep_var`` attribute that contains a Numpy vector of
increasing real numbers and a ``dep_var`` attribute that contains a Numpy
vector of real numbers
:type: :py:class:`putil.plot.BasicSource`,
:py:class:`putil.plot.CsvSource` or others conforming to the
data source specification
.. [[[cog cog.out(exobj_plot.get_sphinx_autodoc()) ]]]
.. Auto-generated exceptions documentation for
.. putil.plot.series.Series.data_source
:raises: (when assigned)
* RuntimeError (Argument \`data_source\` does not have an \`dep_var\`
attribute)
* RuntimeError (Argument \`data_source\` does not have an
\`indep_var\` attribute)
* RuntimeError (Argument \`data_source\` is not fully specified)
* ValueError (Arguments \`indep_var\` and \`dep_var\` must have the
same number of elements)
* ValueError (At least 4 data points are needed for CUBIC
interpolation)
.. [[[end]]]
"""
interp = property(
_get_interp,
_set_interp,
doc='Series interpolation option, one of `STRAIGHT`, '
'`CUBIC` or `LINREG` (case insensitive)'
)
r"""
Gets or sets the interpolation option, one of :code:`None`
(no interpolation) :code:`'STRAIGHT'` (straight line connects data points),
:code:`'STEP'` (horizontal segments between data points), :code:`'CUBIC'`
(cubic interpolation between data points) or :code:`'LINREG'` (linear
regression based on data points). The interpolation option is case
insensitive
:type: :ref:`InterpolationOption` or None
.. [[[cog cog.out(exobj_plot.get_sphinx_autodoc()) ]]]
.. Auto-generated exceptions documentation for
.. putil.plot.series.Series.interp
:raises: (when assigned)
* RuntimeError (Argument \`interp\` is not valid)
* ValueError (Argument \`interp\` is not one of ['STRAIGHT', 'STEP',
'CUBIC', 'LINREG'] (case insensitive))
* ValueError (At least 4 data points are needed for CUBIC
interpolation)
.. [[[end]]]
"""
label = property(_get_label, _set_label, doc='Series label')
r"""
Gets or sets the series label, to be used in the panel legend if the panel
has more than one series
:type: string
.. [[[cog cog.out(exobj_plot.get_sphinx_autodoc()) ]]]
.. Auto-generated exceptions documentation for
.. putil.plot.series.Series.label
:raises: (when assigned) RuntimeError (Argument \`label\` is not
valid)
.. [[[end]]]
"""
line_style = property(
_get_line_style,
_set_line_style,
doc='Series line style, one of `-`, `--`, `-.` or `:`'
)
r"""
Sets or gets the line style. All `Matplotlib line styles
<http://matplotlib.org/api/artist_api.html#matplotlib.lines.
Line2D.set_linestyle>`_ are supported. :code:`None` indicates no line
:type: :ref:`LineStyleOption`
.. [[[cog cog.out(exobj_plot.get_sphinx_autodoc()) ]]]
.. Auto-generated exceptions documentation for
.. putil.plot.series.Series.line_style
:raises: (when assigned)
* RuntimeError (Argument \`line_style\` is not valid)
* ValueError (Argument \`line_style\` is not one of ['-', '--', '-.',
':'])
.. [[[end]]]
"""
marker = property(
_get_marker, _set_marker, doc='Plot data point markers flag'
)
r"""
Gets or sets the series marker type. All `Matplotlib marker types
<http://matplotlib.org/api/markers_api.html>`_ are supported.
:code:`None` indicates no marker
:type: string or None
.. [[[cog cog.out(exobj_plot.get_sphinx_autodoc()) ]]]
.. Auto-generated exceptions documentation for
.. putil.plot.series.Series.marker
:raises: (when assigned) RuntimeError (Argument \`marker\` is not
valid)
.. [[[end]]]
"""
secondary_axis = property(
_get_secondary_axis,
_set_secondary_axis,
doc='Series secondary axis flag'
)
r"""
Sets or gets the secondary axis flag; indicates whether the series belongs
to the panel primary axis (False) or secondary axis (True)
:type: boolean
.. [[[cog cog.out(exobj_plot.get_sphinx_autodoc()) ]]]
.. Auto-generated exceptions documentation for
.. putil.plot.series.Series.secondary_axis
:raises: (when assigned) RuntimeError (Argument \`secondary_axis\` is
not valid)
.. [[[end]]]
"""
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25,
1058,
5420,
25,
63,
9492,
16104,
341,
19722,
63,
1635,
273,
6045,
9,
628,
220,
220,
220,
1058,
17143,
1627,
62,
7635,
25,
6910,
3918,
13,
1439,
4600,
19044,
29487,
8019,
1627,
12186,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1279,
4023,
1378,
6759,
29487,
8019,
13,
2398,
14,
15042,
14,
49016,
62,
15042,
13,
6494,
2,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2603,
29487,
8019,
13,
6615,
13,
13949,
17,
35,
13,
2617,
62,
2815,
10992,
29,
63,
62,
389,
4855,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6045,
9217,
645,
1627,
198,
220,
220,
220,
1058,
4906,
220,
1627,
62,
7635,
25,
1058,
5420,
25,
63,
13949,
21466,
19722,
63,
1635,
273,
6045,
9,
628,
220,
220,
220,
1058,
17143,
9233,
62,
22704,
25,
19762,
326,
9217,
1771,
262,
2168,
14448,
284,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
262,
6103,
4165,
16488,
357,
25101,
8,
393,
9233,
16488,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
17821,
8,
198,
220,
220,
220,
1058,
4906,
220,
9233,
62,
22704,
25,
25131,
628,
220,
220,
220,
11485,
16410,
58,
66,
519,
43072,
13,
448,
7,
1069,
26801,
62,
29487,
13,
1136,
62,
82,
746,
28413,
62,
2306,
375,
420,
28955,
2361,
11907,
198,
220,
220,
220,
11485,
11160,
12,
27568,
13269,
10314,
329,
198,
220,
220,
220,
11485,
1234,
346,
13,
29487,
13,
25076,
13,
27996,
13,
834,
15003,
834,
628,
220,
220,
220,
1058,
430,
2696,
25,
198,
220,
220,
220,
220,
1635,
43160,
12331,
357,
28100,
1713,
3467,
63,
8043,
59,
63,
318,
407,
4938,
8,
628,
220,
220,
220,
220,
1635,
43160,
12331,
357,
28100,
1713,
3467,
63,
7890,
62,
10459,
59,
63,
857,
407,
423,
281,
3467,
63,
10378,
62,
7785,
59,
63,
198,
220,
220,
220,
220,
220,
220,
11688,
8,
628,
220,
220,
220,
220,
1635,
43160,
12331,
357,
28100,
1713,
3467,
63,
7890,
62,
10459,
59,
63,
857,
407,
423,
281,
198,
220,
220,
220,
220,
220,
220,
3467,
63,
521,
538,
62,
7785,
59,
63,
11688,
8,
628,
220,
220,
220,
220,
1635,
43160,
12331,
357,
28100,
1713,
3467,
63,
7890,
62,
10459,
59,
63,
318,
407,
3938,
7368,
8,
628,
220,
220,
220,
220,
1635,
43160,
12331,
357,
28100,
1713,
3467,
63,
3849,
79,
59,
63,
318,
407,
4938,
8,
628,
220,
220,
220,
220,
1635,
43160,
12331,
357,
28100,
1713,
3467,
63,
18242,
59,
63,
318,
407,
4938,
8,
628,
220,
220,
220,
220,
1635,
43160,
12331,
357,
28100,
1713,
3467,
63,
1370,
62,
7635,
59,
63,
318,
407,
4938,
8,
628,
220,
220,
220,
220,
1635,
43160,
12331,
357,
28100,
1713,
3467,
63,
4102,
263,
59,
63,
318,
407,
4938,
8,
628,
220,
220,
220,
220,
1635,
43160,
12331,
357,
28100,
1713,
3467,
63,
38238,
62,
22704,
59,
63,
318,
407,
4938,
8,
628,
220,
220,
220,
220,
1635,
5994,
12331,
357,
44651,
3124,
20855,
8,
628,
220,
220,
220,
220,
1635,
11052,
12331,
357,
28100,
1713,
3467,
63,
3849,
79,
59,
63,
318,
407,
530,
286,
37250,
2257,
3861,
9947,
3256,
705,
42135,
3256,
198,
220,
220,
220,
220,
220,
220,
705,
34,
10526,
2149,
3256,
705,
34509,
31553,
20520,
357,
7442,
41246,
4008,
628,
220,
220,
220,
220,
1635,
11052,
12331,
357,
28100,
1713,
3467,
63,
1370,
62,
7635,
59,
63,
318,
407,
530,
286,
685,
29001,
3256,
705,
438,
3256,
705,
12,
2637,
11,
198,
220,
220,
220,
220,
220,
220,
705,
32105,
12962,
628,
220,
220,
220,
220,
1635,
11052,
12331,
357,
28100,
2886,
3467,
63,
521,
538,
62,
7785,
59,
63,
290,
3467,
63,
10378,
62,
7785,
59,
63,
1276,
423,
262,
198,
220,
220,
220,
220,
220,
220,
976,
1271,
286,
4847,
8,
628,
220,
220,
220,
220,
1635,
11052,
12331,
357,
2953,
1551,
604,
1366,
2173,
389,
2622,
329,
327,
10526,
2149,
198,
220,
220,
220,
220,
220,
220,
39555,
341,
8,
628,
220,
220,
220,
11485,
16410,
58,
437,
11907,
60,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
1303,
279,
2645,
600,
25,
15560,
28,
49,
2931,
2999,
11,
49,
2931,
3070,
11,
49,
2931,
1485,
628,
220,
220,
220,
2488,
1996,
346,
13,
79,
28484,
82,
13,
28484,
7,
18242,
11639,
14202,
91,
2536,
11537,
628,
220,
220,
220,
2488,
1996,
346,
13,
79,
28484,
82,
13,
28484,
7,
8043,
11639,
5305,
62,
22510,
91,
2536,
91,
4868,
91,
83,
29291,
11537,
628,
220,
220,
220,
2488,
1996,
346,
13,
79,
28484,
82,
13,
28484,
7,
3849,
79,
11639,
3849,
16104,
341,
62,
18076,
11537,
628,
220,
220,
220,
2488,
1996,
346,
13,
79,
28484,
82,
13,
28484,
7,
1370,
62,
7635,
11639,
1370,
62,
7635,
62,
18076,
11537,
628,
220,
220,
220,
2488,
1996,
346,
13,
79,
28484,
82,
13,
28484,
7,
38238,
62,
22704,
11639,
14202,
91,
30388,
11537,
628,
220,
220,
220,
825,
11593,
2536,
834,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
12578,
2168,
2134,
1321,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
796,
10148,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
15853,
705,
40566,
7885,
25,
1391,
15,
32239,
77,
4458,
18982,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1234,
346,
13,
1516,
13,
381,
22272,
62,
31364,
7,
944,
13,
521,
538,
62,
7785,
11,
9647,
28,
1120,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
15853,
705,
35,
8682,
7885,
25,
1391,
15,
32239,
77,
4458,
18982,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1234,
346,
13,
1516,
13,
381,
22272,
62,
31364,
7,
944,
13,
10378,
62,
7785,
11,
9647,
28,
1120,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
15853,
705,
33986,
25,
1391,
15,
32239,
77,
4458,
18982,
7,
944,
13,
18242,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
15853,
705,
10258,
25,
1391,
15,
32239,
77,
4458,
18982,
7,
944,
13,
8043,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
15853,
705,
9704,
263,
25,
1391,
15,
32239,
77,
4458,
18982,
7,
944,
13557,
4798,
62,
4102,
263,
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198,
220,
220,
220,
220,
220,
220,
220,
1005,
15853,
705,
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16104,
341,
25,
1391,
15,
32239,
77,
4458,
18982,
7,
944,
13,
3849,
79,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
15853,
705,
13949,
3918,
25,
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15,
32239,
77,
4458,
18982,
7,
944,
13,
1370,
62,
7635,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
15853,
705,
12211,
560,
16488,
25,
1391,
15,
92,
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18982,
7,
944,
13,
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62,
22704,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
1005,
628,
220,
220,
220,
825,
4808,
9122,
62,
25076,
62,
271,
62,
489,
1252,
540,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
6822,
326,
262,
6087,
286,
18364,
11,
1627,
3918,
290,
1627,
9647,
9647,
198,
220,
220,
220,
220,
220,
220,
220,
481,
4439,
257,
3601,
540,
2168,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
357,
198,
220,
220,
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220,
220,
220,
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407,
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7,
944,
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4102,
263,
62,
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6624,
10148,
8,
290,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
14808,
1662,
2116,
13,
3849,
79,
8,
393,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
1662,
2116,
13,
1370,
62,
7635,
22305,
393,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
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13,
8043,
287,
685,
14202,
11,
10148,
60,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
825,
4808,
12102,
378,
62,
10459,
62,
13664,
62,
66,
549,
291,
62,
3849,
79,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
6208,
611,
1366,
2723,
468,
5288,
4129,
284,
15284,
27216,
39555,
341,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
279,
2645,
600,
25,
15560,
28,
34,
486,
3070,
198,
220,
220,
220,
220,
220,
220,
220,
1234,
346,
13,
1069,
71,
13,
2860,
1069,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
11052,
12331,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
2953,
1551,
604,
1366,
2173,
389,
2622,
329,
327,
10526,
2149,
39555,
341,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
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13,
3849,
79,
6624,
705,
34,
10526,
2149,
11537,
290,
357,
944,
13,
521,
538,
62,
7785,
318,
407,
6045,
8,
290,
198,
220,
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220,
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220,
220,
220,
220,
220,
220,
357,
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13,
10378,
62,
7785,
318,
407,
6045,
8,
290,
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13,
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538,
62,
7785,
13,
43358,
58,
15,
60,
1279,
604,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
825,
4808,
12102,
378,
62,
4102,
263,
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944,
11,
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2599,
198,
220,
220,
220,
220,
220,
220,
220,
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3254,
20540,
611,
18364,
20855,
318,
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37227,
198,
220,
220,
220,
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220,
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1303,
279,
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600,
25,
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28,
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198,
220,
220,
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220,
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220,
1949,
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220,
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220,
220,
220,
220,
220,
458,
83,
13,
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7,
9521,
7,
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828,
18364,
28,
4102,
263,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2845,
11052,
12331,
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198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
10352,
198,
220,
220,
220,
220,
220,
220,
220,
2845,
25,
1303,
23864,
2611,
25,
645,
3002,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
6407,
628,
220,
220,
220,
825,
4808,
4798,
62,
4102,
263,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
16409,
18364,
6764,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
18364,
62,
1102,
6448,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
8367,
10354,
6759,
29487,
8019,
13,
4102,
364,
13,
51,
11860,
2538,
9792,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
260,
1050,
10354,
6,
6759,
29487,
8019,
13,
4102,
364,
13,
51,
11860,
2538,
9792,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8964,
198,
220,
220,
220,
220,
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220,
220,
11485,
16410,
58,
437,
11907,
60,
198,
220,
220,
220,
37227,
198
] | 2.155766 | 8,654 |
# coding: utf-8
from handlers.BaseHandler import RequestBaseHandler
import os
class GetFavicon(RequestBaseHandler):
"""发布数据接口""" | [
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] | 2.54717 | 53 |
import os
import random
import tqdm
import shutil
train_p = 0.9
#val_p = 0.05
test_p = 0.05
root_dir = "contoured-cut-outlines"
all_dir = "all"
train_dir = "train"
val_dir = "val"
test_dir = "test"
if __name__ == "__main__":
data = os.listdir(os.path.join(root_dir, all_dir))
random.shuffle(data)
total_count = len(data)
train_split = int(train_p * total_count)
test_split = int((1 - test_p) * total_count)
train_data = data[:train_split]
val_data = data[train_split:test_split]
test_data = data[test_split:]
#newPath = shutil.copy("all/20063861.png", "test/20063861.png")
for data in tqdm.tqdm(train_data, ascii=True, desc='train_data', unit='|image|'):
newPath = shutil.copy(os.path.join(root_dir, all_dir, data), os.path.join(root_dir, train_dir, data))
for data in tqdm.tqdm(val_data, ascii=True, desc='val_data', unit='|image|'):
newPath = shutil.copy(os.path.join(root_dir, all_dir, data), os.path.join(root_dir, val_dir, data))
for data in tqdm.tqdm(test_data, ascii=True, desc='test_data', unit='|image|'):
newPath = shutil.copy(os.path.join(root_dir, all_dir, data), os.path.join(root_dir, test_dir, data))
| [
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62,
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11,
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198
] | 2.287356 | 522 |
import datetime
import logging
| [
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198,
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18931,
628
] | 4.571429 | 7 |
from django.urls import path
from .views import (
FriendRequestsView,
MyFriendsView,
create_follow_request,
accept_follow_request,
unfollow_request,
reject_follow_request,
accept_remote_follow_request,
reject_remote_follow_request,
UsersView
)
app_name = 'follow'
urlpatterns = [
path('users/<slug:to_username>/request/', view=create_follow_request, name='create_follow_request'),
path('users/<slug:from_username>/accept/', view=accept_follow_request, name='accept_follow_request'),
path('users/<slug:from_username>/reject/', view=reject_follow_request, name='reject_follow_request'),
path('users/<slug:from_username>/unfollow/', view=unfollow_request, name='unfollow_request'),
path('remote/accept/<path:from_user_url>', view=accept_remote_follow_request, name='accept_remote_request'),
path('remote/reject/<path:from_user_url>', view=reject_remote_follow_request, name='reject_remote_request'),
path('friend-requests', view=FriendRequestsView.as_view(), name='friend_requests'),
path('friends', view=MyFriendsView.as_view(), name='friends'),
path('', view=UsersView.as_view(), name='users'),
]
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def insertShiftArray(array, value):
'''
inserts a value in middle of array.
'''
if len(array)%2 !=0:
oddOrEven = 1
else:
oddOrEven = 0
half = len(array)//2 + oddOrEven
# print(array[:half] + [value] + array[half:])
return array[:half] + [value] + array[half:]
#insertShiftArray([1,2,4,5], 3)
#insertShiftArray([1,2,4,5,6], 3) | [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# file_name : download_pdb.py
# time : 3/22/2019 13:54
# author : ruiyang
# email : [email protected]
# ------------------------------
import sys
import pandas as pd
import os
def download_pdb(name_list,outpath):
"""
:function: download pdb archive by pdbid from server: https://files.rcsb.org/download/
:param name_list: 存储了pdbid的python list, set, numpy_array等可迭代对象
:param outpath: 文件存储路径
:return: none
"""
if not os.path.exists(outpath):
os.mkdir(outpath)
os.chdir(outpath)
print('len of namelist:', len(name_list))
errorlist = []
for pdbid in name_list:
print(pdbid)
print('download begin')
try:
os.system('wget https://files.rcsb.org/download/' + pdbid[:4] + '.pdb')
except:
errorlist.append(pdbid)
print('len of errorlist:',len(errorlist))
return(errorlist)
if __name__ == '__main__':
dataset_name = sys.argv[1]
csv_path = r'../datasets/%s/%s_new.csv'%(dataset_name,dataset_name)
outpath = r'../datasets/%s/pdb%s'%(dataset_name,dataset_name)
f = open(csv_path,'r')
mutation_df = pd.read_csv(f)
f.close()
pdbid_array = mutation_df.loc[:,'PDB'].values
pdbid_array = set(pdbid_array)
download_pdb(pdbid_array, outpath) | [
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7,
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9945,
312,
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11,
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8
] | 2.060278 | 647 |
'''
Generic st7735 128x128 LCD module on esp32
'''
from ili9XXX import ili9341, MADCTL_MY, MADCTL_MV
disp = ili9341(
mhz=3,
mosi=18,
clk=19,
cs=13,
dc=12,
rst=4,
power=-1,
backlight=15,
backlight_on=1,
width=128,
height=128,
start_x=2,
start_y=1,
invert=False,
rot=MADCTL_MY | MADCTL_MV)
| [
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] | 1.758794 | 199 |
# Authors: Alexandre Gramfort <[email protected]>
# Eric Larson <[email protected]>
# Joan Massich <[email protected]>
# Guillaume Favelier <[email protected]>
#
# License: Simplified BSD
import pytest
import warnings
def has_vtki():
"""Check that vtki is installed."""
try:
import vtki # noqa: F401
return True
except ImportError:
return False
def has_mayavi():
"""Check that mayavi is installed."""
try:
with warnings.catch_warnings(record=True): # traits
from mayavi import mlab # noqa F401
return True
except ImportError:
return False
skips_if_not_mayavi = pytest.mark.skipif(not(has_mayavi()),
reason='requires mayavi')
skips_if_not_vtki = pytest.mark.skipif(not(has_vtki()),
reason='requires vtki')
| [
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220,
220,
1738,
11639,
47911,
410,
83,
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11537,
198
] | 2.123596 | 445 |
try:
from setuptools import setup
from setuptools import Extension
except ImportError:
from distutils.core import setup
from distutils.extension import Extension
#import distutils.sysconfig
with open("src/geocat/comp/version.py") as f:
exec(f.read())
setup(name="geocat.comp",
package_dir={
'': 'src',
'geocat': 'src/geocat',
'geocat.comp': 'src/geocat/comp'
},
namespace_packages=['geocat'],
packages=["geocat", "geocat.comp"],
version=__version__,
install_requires=['numpy', 'xarray', 'dask[complete]'])
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3256,
705,
87,
18747,
3256,
705,
67,
2093,
58,
20751,
49946,
12962,
198
] | 2.333333 | 255 |
import numpy as np
from NN3_tf import NN3_tf
from sklearn.model_selection import train_test_split
from nn_utils import crossover, Type, sort_by_fittest, read_dataset
X, Y = read_dataset(180, 500)
train_x, test_x, train_y, test_y = train_test_split(
X, Y, test_size=0.3, random_state=1)
X, Y = read_dataset(180, 500)
train_x, test_x, train_y, test_y = train_test_split(X, Y, test_size=0.3, random_state=1)
epochs = 600
best_n_children = 4
population_size = 20
gen = {}
generations = 10
dataset = train_x, train_y, test_x, test_y
## Generate a poblation of neural networks each trained from a random starting weigth
## ordered by the best performers (low error)
init_pob = [NN3_tf(dataset, epochs) for i in range(population_size)]
init_pob = sort_by_fittest([(nn.get_acc(), nn) for nn in init_pob], Type.accuracy)
print("600,{},{}".format(init_pob[0][1].get_error(),init_pob[0][1].get_acc()))
gen[0] = init_pob
for x in range(1, generations):
population = []
for i in range(population_size):
parent1 = gen[x - 1][np.random.randint(best_n_children)][1]
parent2 = gen[x - 1][np.random.randint(best_n_children)][1]
w_child = crossover(parent1, parent2)
aux = NN3_tf(dataset, epochs, w_child)
population += [tuple((aux.get_acc(), aux))]
gen[x] = sort_by_fittest(population, Type.accuracy)
net = gen[x][0][1]
print("{},{},{}".format((x + 1) * epochs, net.get_error(), net.get_acc()))
del population
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] | 2.365539 | 621 |
"""Features
Scientific Machine Learning Benchmark:
A benchmark of regression models in chem- and materials informatics.
2020, Matthias Rupp, Citrine Informatics.
Features transform datasets.
"""
from smlb import DataValuedTransformation, IdentityTransformation, DataPipelineTransformation
class Features(DataValuedTransformation):
"""Abstract base class for features."""
# currently adds no functionality, but serves as common base class
pass
class IdentityFeatures(Features, IdentityTransformation):
"""Leaves dataset unchanged."""
pass
class DataPipelineFeatures(Features, DataPipelineTransformation):
"""Applies transformation steps sequentially."""
pass
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] | 3.916201 | 179 |
from SimPEG import Problem, Survey, Utils, Maps
import Convolution
import numpy as np
| [
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] | 3.625 | 24 |
from django.conf.urls import patterns, url
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('_1327.information_pages.views',
url(r"create$", 'create', name='create'),
url(r"(?P<title>[\w-]+)/edit$", 'edit', name='edit'),
url(r"(?P<title>[\w-]+)/autosave$", 'autosave', name='autosave'),
url(r"(?P<title>[\w-]+)/versions$", 'versions', name="versions"),
url(r"(?P<title>[\w-]+)/permissions$", 'permissions', name="permissions"),
url(r"(?P<title>[\w-]+)/attachments$", 'attachments', name="attachments"),
url(r"(?P<title>[\w-]+)$", 'view_information', name='view_information'),
)
| [
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3256,
1438,
11639,
1177,
62,
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198,
8,
198
] | 2.594937 | 237 |
import random
forests=[]
forestload=[]
forestmaxload=[]
stones1=[]
stoneload=[]
stonemaxload=[]
frpl=[]
frpl1=[]
| [
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] | 2.354167 | 48 |
from yz.nav_tools import FrameInfo
from yz.params import *
from yz.rl_policy import PolicyNetwork, ValueNetwork
from yz.utils import soft_update_from_to
from ai2thor.controller import Controller
from collections import deque
import random
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
| [
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] | 3.473118 | 93 |
test = {
'name': 'accumulate',
'points': 0,
'suites': [
{
'cases': [
{
'code': r"""
scm> (accumulate + 0 4 square)
30
""",
'hidden': False,
'locked': False
}
],
'scored': False,
'setup': r"""
scm> (load 'lab09_extra)
scm> (define (square x) (* x x))
""",
'teardown': '',
'type': 'scheme'
},
{
'cases': [
{
'code': r"""
scm> (accumulate * 3 3 identity)
18
""",
'hidden': False,
'locked': False
}
],
'scored': False,
'setup': r"""
scm> (load 'lab09_extra)
scm> (define (identity x) x)
""",
'teardown': '',
'type': 'scheme'
},
{
'cases': [
{
'code': r"""
scm> (accumulate + 1 5 add-one)
21
""",
'hidden': False,
'locked': False
}
],
'scored': False,
'setup': r"""
scm> (load 'lab09_extra)
scm> (define (add-one x) (+ x 1))
""",
'teardown': '',
'type': 'scheme'
}
]
} | [
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6,
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198,
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] | 1.655028 | 716 |
r"""
communicate with interactive subprocess, such as GHCi, and get its output
>>> s = interact('ghci', ':t 1\n' + EOT)
>>> get_ghci_body(s)
'Prelude> :t 1\n1 :: (Num t) => t'
>>> s = interact('swipl', 'X = 1 - 1.\n' + EOT)
>>> get_swipl_body(s)
'?- X = 1 - 1.\nX = 1-1.'
>>> s = interact('python', 'import this\n' + EOT)
>>> get_python_body(s).split('\n')[:2]
['>>> import this', 'The Zen of Python, by Tim Peters']
Scala takes more than 1 second (default timeout) to respond.
I set timeout=10.0 to wait it.
>>> s = interact('scala-2.10', '1\n' + EOT, timeout=10.0)
>>> get_scala_body(s)
'scala> 1\nres0: Int = 1'
"""
from select import select
import os
import pty
import re
TYPESCRIPT = 'tmp.log'
EOT = '\x04' # ^D: End of Transmission
ESCAPE_SEQUENCE = (
'\x1B\[\d+(;\d+)*m|' # color
'\x1B\[\d+;\d+[Hf]|' # move cursor absolute
'\x1B\[\d*[ABCD]|' # move cursor relative
'\x1B\[[DMELsu]|' # other cursor?
'\x1B\[\?1[lh]|' # ? from GHCi
'\x1B[=>]|' # ? from GHCi
'\x1B\[0?J|' # delete back
'\x1B\[1J|' # delete forward?
'\x1B\[2J|\x1B\*|' # clear screen
'\x1B\[0?K|' # kill right line
'\x1B\[1K|' # kill left line
'\x1B\[2K|' # kill whole line
'\x1B\[6n') # console input?
# ported from 'pty' library
STDIN_FILENO = 0
CHILD = 0
def spawn(argv, master_read, stdin_read, commands_to_run, timeout):
"""Create a spawned process."""
if type(argv) == type(''):
argv = (argv,)
pid, master_fd = pty.fork()
if pid == CHILD:
os.execlp(argv[0], *argv)
pty._writen(master_fd, commands_to_run)
fds = [master_fd]
while True:
rfds, wfds, xfds = select(fds, [], [], timeout)
if not rfds: # timeout
break
data = master_read(master_fd)
if not data: # Reached EOF.
break
os.close(master_fd)
# end: ported from 'pty' library
if __name__ == '__main__':
_test()
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] | 1.97931 | 1,015 |
#!/usr/bin/env python3
# _*_ coding: utf-8 _*_
"""Iterate over extracted docx content.
:author: Shay Hill
:created: 6/28/2019
This package extracts docx text as::
[ # tables
[ # table
[ # row
[ # cell
"" # paragraph
]
]
]
]
These functions help manipulate that deep nest without deep indentation.
"""
from typing import Any, Iterable, Iterator, List, NamedTuple, Sequence, Tuple
TablesList = Sequence[Sequence[Sequence[Sequence[Any]]]]
IndexedItem = NamedTuple("IndexedItem", [("index", Tuple[int, ...]), ("value", Any)])
def enum_at_depth(nested: Sequence[Any], depth: int) -> Iterator[IndexedItem]:
"""
Enumerate over a nested sequence at depth.
:param nested: a (nested) sequence
:param depth: depth of iteration
* ``1`` => ``((i,), nested[i])``
* ``2`` => ``((i, j), nested[:][j])``
* ``3`` => ``((i, j, k), nested[:][:][k])``
* ...
:returns: tuples (tuple "address", item)
>>> sequence = [
... [[["a", "b"], ["c"]], [["d", "e"]]],
... [[["f"], ["g", "h"]]]
... ]
>>> for x in enum_at_depth(sequence, 1): print(x)
IndexedItem(index=(0,), value=[[['a', 'b'], ['c']], [['d', 'e']]])
IndexedItem(index=(1,), value=[[['f'], ['g', 'h']]])
>>> for x in enum_at_depth(sequence, 2): print(x)
IndexedItem(index=(0, 0), value=[['a', 'b'], ['c']])
IndexedItem(index=(0, 1), value=[['d', 'e']])
IndexedItem(index=(1, 0), value=[['f'], ['g', 'h']])
>>> for x in enum_at_depth(sequence, 3): print(x)
IndexedItem(index=(0, 0, 0), value=['a', 'b'])
IndexedItem(index=(0, 0, 1), value=['c'])
IndexedItem(index=(0, 1, 0), value=['d', 'e'])
IndexedItem(index=(1, 0, 0), value=['f'])
IndexedItem(index=(1, 0, 1), value=['g', 'h'])
>>> for x in enum_at_depth(sequence, 4): print(x)
IndexedItem(index=(0, 0, 0, 0), value='a')
IndexedItem(index=(0, 0, 0, 1), value='b')
IndexedItem(index=(0, 0, 1, 0), value='c')
IndexedItem(index=(0, 1, 0, 0), value='d')
IndexedItem(index=(0, 1, 0, 1), value='e')
IndexedItem(index=(1, 0, 0, 0), value='f')
IndexedItem(index=(1, 0, 1, 0), value='g')
IndexedItem(index=(1, 0, 1, 1), value='h')
>>> list(enum_at_depth(sequence, 5))
Traceback (most recent call last):
...
TypeError: will not iterate over sequence item
This error is analogous to the ``TypeError: 'int' object is not iterable`` you
would see if attempting to enumerate over a non-iterable. In this case,
you've attempted to enumerate over an item that *may* be iterable, but is not of
the same type as the ``nested`` sequence argument. This type checking is how we
can safely descend into a nested list of strings.
"""
if depth < 1:
raise ValueError("depth argument must be >= 1")
argument_type = type(nested)
def enumerate_next_depth(enumd: Iterable[IndexedItem]) -> Iterator[IndexedItem]:
"""
Descend into a nested sequence, enumerating along descent
:param enumd: tuples (tuple of indices, sequences)
:return: updated index tuples with items from each sequence.
"""
for index_tuple, sequence in enumd:
if type(sequence) != argument_type:
raise TypeError("will not iterate over sequence item")
for i, item in enumerate(sequence):
yield IndexedItem(index_tuple + (i,), item)
depth_n = (IndexedItem((i,), x) for i, x in enumerate(nested))
for depth in range(1, depth):
depth_n = enumerate_next_depth(depth_n)
return depth_n
def iter_at_depth(nested: Sequence[Any], depth: int) -> Iterator[Any]:
"""
Iterate over a nested sequence at depth.
:param nested: a (nested) sequence
:param depth: depth of iteration
* ``1`` => ``nested[i]``
* ``2`` => ``nested[:][j]``
* ``3`` => ``nested[:][:][k]``
* ...
:returns: sub-sequences or items in nested
>>> sequence = [
... [[["a", "b"], ["c"]], [["d", "e"]]],
... [[["f"], ["g", "h"]]]
... ]
>>> for x in iter_at_depth(sequence, 1): print(x)
[[['a', 'b'], ['c']], [['d', 'e']]]
[[['f'], ['g', 'h']]]
>>> for x in iter_at_depth(sequence, 2): print(x)
[['a', 'b'], ['c']]
[['d', 'e']]
[['f'], ['g', 'h']]
>>> for x in iter_at_depth(sequence, 3): print(x)
['a', 'b']
['c']
['d', 'e']
['f']
['g', 'h']
>>> list(iter_at_depth(sequence, 4))
['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']
"""
return (value for index, value in enum_at_depth(nested, depth))
def iter_tables(tables: TablesList) -> Iterator[List[List[List[Any]]]]:
"""
Iterate over ``tables[i]``
Analog of iter_at_depth(tables, 1)
:param tables: ``[[[["string"]]]]``
:return: ``tables[0], tables[1], ... tables[i]``
"""
return iter_at_depth(tables, 1)
def iter_rows(tables: TablesList) -> Iterator[List[List[Any]]]:
"""
Iterate over ``tables[:][j]``
Analog of iter_at_depth(tables, 2)
:param tables: ``[[[["string"]]]]``
:return: ``tables[0][0], tables[0][1], ... tables[i][j]``
"""
return iter_at_depth(tables, 2)
def iter_cells(tables: TablesList) -> Iterator[List[Any]]:
"""
Iterate over ``tables[:][:][k]``
Analog of iter_at_depth(tables, 3)
:param tables: ``[[[["string"]]]]``
:return: ``tables[0][0][0], tables[0][0][1], ... tables[i][j][k]``
"""
return iter_at_depth(tables, 3)
def iter_paragraphs(tables: TablesList) -> Iterator[str]:
"""
Iterate over ``tables[:][:][:][l]``
Analog of iter_at_depth(tables, 4)
:param tables: ``[[[["string"]]]]``
:return: ``tables[0][0][0][0], tables[0][0][0][1], ... tables[i][j][k][l]``
"""
return iter_at_depth(tables, 4)
def enum_tables(tables: TablesList) -> Iterator[IndexedItem]:
"""
Enumerate over ``tables[i]``
Analog of enum_at_depth(tables, 1)
:param tables: ``[[[["string"]]]]``
:return:
``((0, ), tables[0]) ... , ((i, ), tables[i])``
"""
return enum_at_depth(tables, 1)
def enum_rows(tables: TablesList) -> Iterator[IndexedItem]:
"""
Enumerate over ``tables[:][j]``
Analog of enum_at_depth(tables, 2)
:param tables: ``[[[["string"]]]]``
:return:
``((0, 0), tables[0][0]) ... , ((i, j), tables[i][j])``
"""
return enum_at_depth(tables, 2)
def enum_cells(tables: TablesList) -> Iterator[IndexedItem]:
"""
Enumerate over ``tables[:][:][k]``
Analog of enum_at_depth(tables, 3)
:param tables: ``[[[["string"]]]]``
:return:
``((0, 0, 0), tables[0][0][0]) ... , ((i, j, k), tables[i][j][k])``
"""
return enum_at_depth(tables, 3)
def enum_paragraphs(tables: TablesList) -> Iterator[IndexedItem]:
"""
Enumerate over ``tables[:][:][:][l]``
Analog of enum_at_depth(tables, 4)
:param tables: ``[[[["string"]]]]``
:return:
``((0, 0, 0, 0), tables[0][0][0][0]) ... , ((i, j, k, l), tables[i][j][k][l])``
"""
return enum_at_depth(tables, 4)
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] | 2.271949 | 3,155 |
# -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2020 Fetch.AI Limited
#
# 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.
#
# ------------------------------------------------------------------------------
"""This test module contains the tests for the `aea gui` sub-commands."""
import json
from unittest.mock import patch
from tests.test_cli.tools_for_testing import raise_click_exception
from tests.test_cli_gui.test_base import create_app
@patch("aea.cli_gui.cli_fetch_agent")
def test_fetch_agent(*mocks):
"""Test fetch an agent."""
app = create_app()
agent_name = "test_agent_name"
agent_id = "author/{}:0.1.0".format(agent_name)
# Ensure there is now one agent
resp = app.post(
"api/fetch-agent", content_type="application/json", data=json.dumps(agent_id),
)
assert resp.status_code == 201
data = json.loads(resp.get_data(as_text=True))
assert data == agent_name
@patch("aea.cli_gui.cli_fetch_agent", raise_click_exception)
def test_fetch_agent_fail(*mocks):
"""Test fetch agent fail."""
app = create_app()
agent_name = "test_agent_name"
agent_id = "author/{}:0.1.0".format(agent_name)
resp = app.post(
"api/fetch-agent", content_type="application/json", data=json.dumps(agent_id),
)
assert resp.status_code == 400
data = json.loads(resp.get_data(as_text=True))
assert data["detail"] == "Failed to fetch an agent {}. {}".format(
agent_id, "Message"
)
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12976,
62,
1069,
4516,
8,
198,
4299,
1332,
62,
69,
7569,
62,
25781,
62,
32165,
46491,
76,
3320,
2599,
198,
220,
220,
220,
37227,
14402,
21207,
5797,
2038,
526,
15931,
198,
220,
220,
220,
598,
796,
2251,
62,
1324,
3419,
628,
220,
220,
220,
5797,
62,
3672,
796,
366,
9288,
62,
25781,
62,
3672,
1,
198,
220,
220,
220,
5797,
62,
312,
796,
366,
9800,
14,
90,
38362,
15,
13,
16,
13,
15,
1911,
18982,
7,
25781,
62,
3672,
8,
628,
220,
220,
220,
1217,
796,
598,
13,
7353,
7,
198,
220,
220,
220,
220,
220,
220,
220,
366,
15042,
14,
69,
7569,
12,
25781,
1600,
2695,
62,
4906,
2625,
31438,
14,
17752,
1600,
1366,
28,
17752,
13,
67,
8142,
7,
25781,
62,
312,
828,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
6818,
1217,
13,
13376,
62,
8189,
6624,
7337,
198,
220,
220,
220,
1366,
796,
33918,
13,
46030,
7,
4363,
13,
1136,
62,
7890,
7,
292,
62,
5239,
28,
17821,
4008,
198,
220,
220,
220,
6818,
1366,
14692,
49170,
8973,
6624,
366,
37,
6255,
284,
21207,
281,
5797,
23884,
13,
23884,
1911,
18982,
7,
198,
220,
220,
220,
220,
220,
220,
220,
5797,
62,
312,
11,
366,
12837,
1,
198,
220,
220,
220,
1267,
198
] | 2.966906 | 695 |
import base64
if __name__ == "__main__":
print convert("in.jpeg")
| [
11748,
2779,
2414,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
3601,
10385,
7203,
259,
13,
73,
22071,
4943,
198
] | 2.535714 | 28 |
"""
@author: [email protected]
test helper functions
"""
from havsim.calibration.helper import makeleadfolinfo, boundaryspeeds, interpolate
path_reconngsim = 'C:/Users/rlk268/OneDrive - Cornell University/important misc/pickle files/meng/reconngsim.pkl'
# reconstructed ngsim data
with open(path_reconngsim, 'rb') as f:
data = pickle.load(f)[0]
meas, platooninfo, = makeplatoonlist(data,1,False)
platoon = [875.0, 903.0, 908.0] # dataset only with these vehicles
toymeas = {}
for i in platoon:
toymeas[i] = meas[i].copy()
toymeas[875][:, 4] = 0
toymeas[908][:, 5] = 0
test_interpolate()
test_boundaryspeeds()
test_leadfolinfo()
| [
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34,
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532,
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10951,
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489,
23122,
4868,
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11,
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11,
25101,
8,
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489,
23122,
796,
685,
31360,
13,
15,
11,
860,
3070,
13,
15,
11,
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2919,
13,
15,
60,
220,
1303,
27039,
691,
351,
777,
5672,
198,
83,
726,
1326,
292,
796,
23884,
198,
1640,
1312,
287,
39368,
25,
198,
220,
220,
220,
13373,
1326,
292,
58,
72,
60,
796,
2212,
58,
72,
4083,
30073,
3419,
198,
83,
726,
1326,
292,
58,
31360,
7131,
45299,
604,
60,
796,
657,
198,
83,
726,
1326,
292,
58,
24,
2919,
7131,
45299,
642,
60,
796,
657,
628,
198,
220,
220,
220,
220,
198,
9288,
62,
3849,
16104,
378,
3419,
198,
9288,
62,
7784,
560,
4125,
5379,
3419,
198,
220,
220,
220,
220,
198,
9288,
62,
28230,
9062,
10951,
3419,
628,
198
] | 2.462687 | 268 |
"""
Thunk (a.k.a. lazy objects) in PyPy.
To run on top of the thunk object space with the following command-line:
py.py -o thunk fibonacci.py
This is a typical Functional Programming Languages demo, computing the
Fibonacci sequence by using an infinite lazy linked list.
"""
try:
from __pypy__ import thunk # only available in 'py.py -o thunk'
except ImportError:
print __doc__
raise SystemExit(2)
# ____________________________________________________________
def add_lists(list1, list2):
"""Compute the linked-list equivalent of the Python expression
[a+b for (a,b) in zip(list1,list2)]
"""
return ListNode(list1.head + list2.head,
thunk(add_lists, list1.tail, list2.tail))
# 1, 1, 2, 3, 5, 8, 13, 21, 34, ...
Fibonacci = ListNode(1, ListNode(1, None))
Fibonacci.tail.tail = thunk(add_lists, Fibonacci, Fibonacci.tail)
if __name__ == '__main__':
node = Fibonacci
while True:
print node.head
node = node.tail
| [
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198,
817,
2954,
357,
64,
13,
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13,
64,
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262,
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11,
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17,
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220,
220,
220,
37227,
198,
220,
220,
220,
1441,
7343,
19667,
7,
4868,
16,
13,
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1343,
1351,
17,
13,
2256,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
294,
2954,
7,
2860,
62,
20713,
11,
1351,
16,
13,
13199,
11,
1351,
17,
13,
13199,
4008,
628,
198,
2,
352,
11,
352,
11,
362,
11,
513,
11,
642,
11,
807,
11,
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11,
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37,
571,
261,
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7,
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261,
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11,
41566,
261,
44456,
13,
13199,
8,
628,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
10139,
796,
41566,
261,
44456,
198,
220,
220,
220,
981,
6407,
25,
198,
220,
220,
220,
220,
220,
220,
220,
3601,
10139,
13,
2256,
198,
220,
220,
220,
220,
220,
220,
220,
10139,
796,
10139,
13,
13199,
198
] | 2.619792 | 384 |
# websocket_server -- WebSocket/HTTP server/client library
# https://github.com/CylonicRaider/websocket-server
"""
WebSocket protocol implementation.
client_handshake() and server_handshake() perform the appropriate operations
on mappings of HTTP headers; the WebSocketFile class implements the framing
protocol.
"""
import os
import socket
import struct
import base64
import codecs
import threading
import hashlib
from collections import namedtuple
from . import constants
from .compat import bytearray, bytes, tobytes, unicode, callable
from .exceptions import ProtocolError, InvalidDataError
from .exceptions import ConnectionClosedError
from .tools import mask, new_mask
__all__ = ['client_handshake', 'WebSocketFile', 'wrap']
# Allocation unit.
BUFFER_SIZE = 16384
# Frame class
Frame = namedtuple('Frame', 'opcode payload final msgtype')
# Message class
Message = namedtuple('Message', 'msgtype content final')
# Adapted from RFC 6455:
# 0 1 2 3
# 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7
# +-+-+-+-+-------+-+-------------+-------------------------------+
# |F|R|R|R| opcode|M| Payload len | Extended payload length |
# |I|S|S|S| (4) |A| (7) | (16/64) |
# |N|V|V|V| |S| | (if payload len==126/127) |
# | |1|2|3| |K| | |
# +-+-+-+-+-------+-+-------------+ - - - - - - - - - - - - - - - +
# | Extended payload length continued, if payload len == 127 |
# + - - - - - - - - - - - - - - - +-------------------------------+
# | |Masking-key, if MASK set to 1 |
# +-------------------------------+-------------------------------+
# | Masking-key (continued) | Payload Data |
# +-------------------------------+ - - - - - - - - - - - - - - - +
# : Payload Data continued ... :
# + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - +
# | Payload Data continued ... |
# +---------------------------------------------------------------+
# The "magic" GUID used for Sec-WebSocket-Accept.
MAGIC_GUID = unicode('258EAFA5-E914-47DA-95CA-C5AB0DC85B11')
def process_key(key):
"""
process_key(key) -> unicode
Transform the given key as required to form a Sec-WebSocket-Accept
field, and return the new key.
"""
enc_key = (unicode(key) + MAGIC_GUID).encode('ascii')
resp_key = base64.b64encode(hashlib.sha1(enc_key).digest())
return resp_key.decode('ascii')
def client_handshake(headers, protos=None, makekey=None):
"""
client_handshake(headers, protos=None, makekey=None) -> function
Perform the client-side parts of a WebSocket handshake.
headers is a mapping from header names to header values (both Unicode
strings) which is modified in-place with WebSocket headers.
protos is one of:
- None to not advertise subprotocols,
- A single string used directly as the Sec-WebSocket-Protocol header,
- A list of strings, which are joined by commata into the value of the
Sec-WebSocket-Protocol header.
NOTE that the value of protos is not validated.
makekey, if not None, is a function that returns a byte string of length
16 that is used as the base of the Sec-WebSocket-Key header. If makekey
is None, os.urandom() is used.
The return value is a function that takes the response headers (in the
same format as headers) as the only parameter and raises a ProtocolError
if the handshake is not successful. If the handshake *is* successful, the
function returns the subprotocol selected by the server (a string that
must have been present in protos), or None (for no subprotocol).
NOTE that this library does not support extensions. For future
compatibility, it would be prudent to specify makekey, if at all,
as a keyword argument.
"""
def check_response(respheaders):
"Ensure the given HTTP response headers are a valid WS handshake."
# Verify key and other fields.
if respheaders.get('Sec-WebSocket-Accept') != process_key(key):
raise ProtocolError('Invalid response key')
if respheaders.get('Sec-WebSocket-Extensions'):
raise ProtocolError('Extensions not supported')
p = respheaders.get('Sec-WebSocket-Protocol')
# If protos is None, using the "in" operator may fail.
if p and (not protos or p not in protos):
raise ProtocolError('Invalid subprotocol received')
return p
if makekey is None: makekey = lambda: os.urandom(16)
headers.update({'Connection': 'Upgrade', 'Upgrade': 'websocket',
'Sec-WebSocket-Version': '13'})
if isinstance(protos, str):
headers['Sec-WebSocket-Protocol'] = protos
elif protos is not None:
headers['Sec-WebSocket-Protocol'] = ', '.join(protos)
key = base64.b64encode(makekey()).decode('ascii')
headers['Sec-WebSocket-Key'] = key
return check_response
def server_handshake(headers, protos=None):
"""
server_handshake(headers, protos=None) -> dict
Perform the server-side part of a WebSocket handshake.
headers is a maping from header names to header values (both Unicode
strings), which is validated.
protos is one of:
- None to indicate no subprotocols,
- A sequence or whitespace-delimited string of names of accepted
subprotocols (the first subprotocol proposed by the client that is
in the list is selected),
- A function taking the list of subprotocols proposed by the client as
the only argument and returning a subprotocol name or None.
The return value is a mapping of headers to be included in the response.
"""
# The standard requires a Host header... why not...
if 'Host' not in headers:
error('Missing Host header')
# Validate Upgrade header.
if 'websocket' not in headers.get('Upgrade', '').lower():
error('Invalid/Missing Upgrade header')
# Validate protocol version.
if headers.get('Sec-WebSocket-Version') != '13':
error('Invalid WebSocket version (!= 13)')
# Validate Connection header.
connection = [i.lower().strip()
for i in headers.get('Connection', '').split(',')]
if 'upgrade' not in connection:
error('Invalid/Missing Connection header')
# Validate the key.
key = headers.get('Sec-WebSocket-Key')
try:
if len(base64.b64decode(tobytes(key))) != 16:
error('Invalid WebSocket key length')
except (TypeError, ValueError):
error('Invalid WebSocket key')
# Extensions are not supported.
# Be permissive with subprotocol tokens.
protstr = headers.get('Sec-WebSocket-Protocol', '')
protlist = ([i.strip() for i in protstr.split(',')] if protstr else [])
if protos is None:
respproto = None
elif callable(protos):
respproto = protos(protlist)
else:
if isinstance(protos, str): protos = protos.split()
# Intentionally leaking loop variable.
for respproto in protlist:
if respproto in protos: break
else:
respproto = None
# Prepare response headers.
ret = {'Connection': 'upgrade', 'Upgrade': 'websocket',
'Sec-WebSocket-Accept': process_key(key)}
if respproto is not None:
ret['Sec-WebSocket-Protocol'] = respproto
return ret
class WebSocketFile(object):
"""
WebSocket protocol implementation. May base on a pair of file-like
objects (for usage in HTTPRequestHandler's); a "raw" socket (if you
prefer parsing HTTP headers yourself); or a single file object (if
you have got such a read-write one). This class is not concerned
with the handshake; see client_handshake() and server_handshake() for
that.
WebSocketFile(rdfile, wrfile, server_side=False, subprotocol=None)
rdfile : File to perform reading operations on.
wrfile : File to perform writing operations on.
server_side: Whether to engage server-side behavior (if true) or not
(otherwise).
subprotocol: The subprotocol to be used.
Attributes:
server_side : Whether this is a server-side WebSocketFile.
subprotocol : The subprotocol as passed to the constructor.
close_wrapped: Whether calling close() should close the underlying
files as well. Defaults to True.
_rdlock : threading.RLock instance used for serializing and
protecting reading-related operations.
_wrlock : threading.RLock instance user for serializing and
protecting write-related operations.
_rdlock should always be asserted before _wrlock, if at
all; generally, do not call reading-related methods
(which also include close*()) with _wrlock asserted,
and do not use those locks unless necessary.
_socket : Underlying socket (set by from_socket()).
May not be present at all (i.e. be None). Only use this
if you are really sure you need to.
Class attributes:
MAXFRAME : Maximum frame payload length. May be overridden by
subclasses (or instances). Value is either an integer or
None (indicating no limit). This is not enforced for
outgoing messages.
MAXCONTFRAME: Maximum length of a frame reconstructed from fragments.
May be overridden as well. The value has the same
semantics as the one of MAXFRAME. This is not enforced
for outgoing messages as well.
NOTE: This class reads exactly the amount of bytes needed, yet
buffering of the underlying stream may cause frames to
"congest".
The underlying stream must be blocking, or unpredictable
behavior occurs.
"""
# Maximum allowed frame length.
MAXFRAME = None
# Maximum continued frame length.
MAXCONTFRAME = None
@classmethod
def from_files(cls, rdfile, wrfile, **kwds):
"""
from_files(rdfile, wrfile, **kwds) -> WebSocketFile
Equivalent to the constructor; provided for symmetry.
"""
return cls(rdfile, wrfile, **kwds)
@classmethod
def from_socket(cls, sock, **kwds):
"""
from_socket(sock, **kwds) -> WebSocketFile
Wrap a socket in a WebSocketFile. Uses the makefile() method to
obtain the file objects internally used. Keyword arguments are passed
on to the constructor.
"""
ret = cls.from_file(sock.makefile('rwb'), **kwds)
ret._socket = sock
return ret
@classmethod
def from_file(cls, file, **kwds):
"""
from_file(file, **kwds) -> WebSocketFile
Wrap a read-write file object. Keyword arguments are passed on to the
constructor.
"""
return cls(file, file, **kwds)
def __init__(self, rdfile, wrfile, server_side=False, subprotocol=None):
"""
__init__(rdfile, wrfile, server_side=False, subprotocol=None) -> None
See the class docstring for details.
"""
self._rdfile = rdfile
self._wrfile = wrfile
self._socket = None
self.server_side = server_side
self.subprotocol = subprotocol
self.close_wrapped = True
self._rdlock = threading.RLock()
self._wrlock = threading.RLock()
factory = codecs.getincrementaldecoder('utf-8')
self._decoder = factory(errors='strict')
self._cur_opcode = None
self._read_close = False
self._written_close = False
self._closed = False
def _read_raw(self, length):
"""
_read_raw(length) -> bytes
Read exactly length bytes from the underlying stream, and return
them as a bytes object.
Should be used for small amounts.
Raises EOFError if less than length bytes are read.
"""
if not length: return b''
rf = self._rdfile
buf, buflen = [], 0
while buflen < length:
rd = rf.read(length - buflen)
if not rd:
raise EOFError()
buf.append(rd)
buflen += len(rd)
return b''.join(buf)
def _readinto_raw(self, buf, offset=0):
"""
_readinto_raw(buf, offset=0) -> buf
Try to fill buf with exactly as many bytes as buf can hold.
If buf is an integer, a bytearray object of that length is
allocated and returned.
If offset is nonzero, reading starts at that offset.
Raises EOFError on failure.
"""
# Convert integers into byte arrays.
if isinstance(buf, int): buf = bytearray(buf)
# Don't fail on empty reads.
if not buf: return buf
# Main... try-except clause.
rf, fl = self._rdfile, len(buf)
try:
# Try "native" readinto method.
if not offset:
l = rf.readinto(buf)
if l == 0:
# EOF
raise EOFError()
else:
l = offset
if l < len(buf):
# Fill the rest.
try:
# Try still to use buf itself (indirectly).
v, o = memoryview(buf), l
while o < fl:
rd = rf.readinto(v[o:])
if not rd:
raise EOFError()
o += rd
except NameError:
# Will have to read individual parts.
o = l
temp = bytearray(min(fl - o, BUFFER_SIZE))
while o < fl:
if len(temp) > fl - o:
temp = bytearray(fl - o)
rd = rf.readinto(temp)
if not rd:
raise EOFError()
no = o + rd
buf[o:no] = temp
o = no
except AttributeError:
# No readinto available, have to read chunks.
o, fl = offset, len(buf)
while o < fl:
chunk = rf.read(min(fl - o, BUFFER_SIZE))
if not chunk:
raise EOFError()
no = o + len(chunk)
buf[o:no] = chunk
o = no
return buf
def _write_raw(self, data):
"""
_write_raw(data) -> None
Write data to the underlying stream. May or may be not buffered.
"""
self._wrfile.write(data)
def _flush_raw(self):
"""
_flush_raw() -> None
Force any buffered output data to be written out.
"""
self._wrfile.flush()
def _shutdown_raw(self, mode):
"""
_shutdown_raw(mode) -> None
Perform a shutdown of the underlying socket, if any. mode is a
socket.SHUT_* constant denoting the precise mode of shutdown.
"""
s = self._socket
if s:
try:
s.shutdown(mode)
except socket.error:
pass
def read_single_frame(self):
"""
read_single_frame() -> (opcode, payload, final, type) or None
Read (and parse) a single WebSocket frame.
opcode is the opcode of the frame, as an integer; payload is the
payload of the frame, text data is *not* decoded; final is a
boolean indicating whether this frame was final, type is the same
as opcode for non-continuation frames, and the opcode of the frame
continued for continuation frames. The return value is a named
tuple, with the fields named as indicated.
If EOF is reached (not in the middle of the frame), None is
returned.
MAXFRAME is applied.
May raise ProtocolError (via error()) if the data received is
invalid, is truncated, an invalid (non-)continuation frame is
read, EOF inside an unfinished fragmented frame is encountered,
etc.
WARNING: If a control frame is received (i.e. whose opcode
bitwise-AND OPMASK_CONTROL is nonzero), it must be
passed into the handle_control() method; otherwise.
the implementation may misbehave.
"""
with self._rdlock:
# Store for later.
was_read_close = self._read_close
# No more reading after close.
if was_read_close: return None
# Read opcode byte. A EOF here is non-fatal.
header = bytearray(2)
try:
header[0] = ord(self._read_raw(1))
except EOFError:
if self._cur_opcode is not None:
self._error('Unfinished fragmented frame')
return None
# ...And EOF from here on, on the other hand, is.
try:
# Read the length byte.
header[1] = ord(self._read_raw(1))
# Extract header fields.
final = header[0] & constants.FLAG_FIN
reserved = header[0] & constants.MASK_RSV
opcode = header[0] & constants.MASK_OPCODE
masked = header[1] & constants.FLAG_MASK
length = header[1] & constants.MASK_LENGTH
# Verify them.
if reserved:
self._error('Frame with reserved flags received')
if bool(self.server_side) ^ bool(masked):
self._error('Frame with invalid masking received')
if opcode & constants.OPMASK_CONTROL and not final:
self._error('Fragmented control frame received')
# (Fragmented) Message type.
msgtype = opcode
# Validate fragmentation state.
if not opcode & constants.OPMASK_CONTROL:
# Control frames may pass freely, non-control ones
# interact with the state.
if opcode == constants.OP_CONT:
# Continuation frame.
msgtype = self._cur_opcode
if self._cur_opcode is None:
# See the error message.
self._error('Orphaned continuation frame')
elif final:
# Finishing fragmented frame.
self._cur_opcode = None
# "Normal" continuation frame passed.
else:
# "Header" frame.
if self._cur_opcode is not None:
# Already inside fragmented frame.
self._error('Fragmented frame interrupted')
elif not final:
# Fragmented frame started.
self._cur_opcode = opcode
# Self-contained frame passed -- no action.
# Extract length and mask value; start reading payload
# buffer.
masklen = (4 if masked else 0)
if length < 126:
# Just read the mask if necessary.
msk = self._readinto_raw(masklen)
elif length == 126:
buf = self._readinto_raw(2 + masklen)
length = struct.unpack('!H', buf[:2])[0]
# Validate length
if length < 126:
self._error('Invalid frame length encoding')
if masked: msk = buf[2:6]
elif length == 127:
buf = self._readinto_raw(8 + masklen)
length = struct.unpack('!Q', buf[:8])[0]
# Validate length.
if length < 65536:
self._error('Invalid frame length encoding')
elif length >= 9223372036854775808: # 2 ** 63
# MUST in RFC 6455, section 5.2
# We could handle those frames easily (given we have
# enough memory), though.
self._error('Frame too long')
if masked: msk = buf[8:12]
# Validate length.
if self.MAXFRAME is not None and length > self.MAXFRAME:
self.error('Frame too long',
code=constants.CLOSE_MESSAGE_TOO_BIG)
# Allocate result buffer.
rbuf = bytearray(length)
# Read rest of message.
self._readinto_raw(rbuf)
# Verify this is not a post-close frame.
if was_read_close:
self._error('Received frame after closing one')
# Reverse masking if necessary.
if masked: rbuf = mask(msk, rbuf)
# Done!
return Frame(opcode, bytes(rbuf), bool(final), msgtype)
except EOFError:
self._error('Truncated frame')
def read_frame(self, stream=False):
"""
read_frame(stream=False) -> (msgtype, content, final) or None
Read a WebSocket data frame.
The return value is composed from fields of the same meaning as
from read_single_frame(). Note that the opcode field is discarded
in favor of msgtype. The return value is (as in
read_single_frame()), a named tuple, with the field names as
indicated. If the stream encounters an EOF, returns None.
If stream is false, fragmented frames are re-combined into a
single frame (MAXCONTFRAME is applied), otherwise, they are
returned individually.
If the beginning of a fragmented frame was already consumed, the
remainder of it (or one frame of the remainder, depending on
stream) is read.
May raise ProtocolError (if read_single_frame() does), or
InvalidDataError, if decoding a text frame fails.
NOTE: The data returned may not correspond entirely to the
payload of the underlying frame, if the latter contains
incomplete UTF-8 sequences.
"""
buf, buflen = [], 0
with self._rdlock:
while 1:
# Read frame.
fr = self.read_single_frame()
# EOF reached. Assuming state is clean.
if not fr: return None
# Process control frames as quickly as possible.
if fr.opcode & constants.OPMASK_CONTROL:
self.handle_control(fr.opcode, fr.payload)
continue
# Decode text frames.
if fr.msgtype == constants.OP_TEXT:
try:
payload = self._decoder.decode(fr.payload,
fr.final)
except ValueError:
raise InvalidDataError('Invalid message payload')
else:
payload = fr.payload
# Enforce MAXCONTFRAME
if (self.MAXCONTFRAME is not None and
buflen + len(payload) > self.MAXCONTFRAME):
self.error('Fragmented frame too long',
code=constants.CLOSE_MESSAGE_TOO_BIG)
# Prepare value for returning.
datum = Message(fr.msgtype, payload, fr.final)
# Regard streaming mode.
if stream:
return datum
# Accumulate non-final frames.
buf.append(datum.content)
buflen += len(datum.content)
# Stop if final message encountered.
if datum.final:
if datum.msgtype == constants.OP_TEXT:
base = unicode()
else:
base = bytes()
return Message(datum.msgtype, base.join(buf), True)
def handle_control(self, opcode, cnt):
"""
handle_control(opcode, cnt) -> bool
Handle a control frame.
Called by read_frame() if a control frame is read, to evoke a
required response "as soon as practical".
The return value tells whether it is safe to continue reading
(true), or if EOF (i.e. a close frame) was reached (false).
"""
if opcode == constants.OP_PING:
self.write_single_frame(constants.OP_PONG, cnt)
elif opcode == constants.OP_CLOSE:
self._read_close = True
self._shutdown_raw(socket.SHUT_RD)
self.close_ex(*self.parse_close(cnt))
return False
return True
def _error(self, message):
"Used internally."
self.error(message)
# Assure execution does not continue.
raise RuntimeError('error() returned')
def error(self, message, code=constants.CLOSE_PROTOCOL_FAILURE):
"""
error(message, code=CLOSE_PROTOCOL_FAILURE) -> [ProtocolError]
Initiate an abnormal connection close and raise a ProtocolError.
code is the error code to use.
This method is called from read_single_frame() if an invalid
frame is detected.
"""
# We will hardly be able to interpret anything the other side emits
# at this point.
self._read_close = True
self.close_ex(code, message)
raise ProtocolError(message, code=code)
def write_single_frame(self, opcode, data, final=True, maskkey=None):
"""
write_single_frame(opcode, data, final=True, maskkey=None) -> None
Write a frame with the given parameters.
final determines whether the frame is final; opcode is one of the
OP_* constants; data is the payload of the message. maskkey, if
not None, is a length-four byte sequence that determines which
mask key to use, otherwise, tools.new_mask() will be invoked to
create one if necessary.
If opcode is OP_TEXT, data may be a Unicode or a byte string,
otherwise, data must be a byte string. If the type of data is
inappropriate, TypeError is raised.
Raises ConnectionClosedError is the connection is already closed
or closing.
"""
# Validate arguments.
if not constants.OP_MIN <= opcode <= constants.OP_MAX:
raise ValueError('Opcode out of range')
if isinstance(data, unicode):
if opcode != constants.OP_TEXT:
raise TypeError('Unicode payload specfied for '
'non-Unicode opcode')
data = data.encode('utf-8')
elif not isinstance(data, (bytes, bytearray)):
raise TypeError('Invalid data type')
# Allocate new mask if necessary; validate type.
masked = (not self.server_side)
if masked:
if maskkey is None:
maskkey = new_mask()
elif isinstance(maskkey, bytes):
maskkey = bytearray(maskkey)
else:
maskkey = None
# Construct message header.
header = bytearray(2)
if final: header[0] |= constants.FLAG_FIN
if masked: header[1] |= constants.FLAG_MASK
header[0] |= opcode
# Insert message length.
if len(data) < 126:
header[1] |= len(data)
elif len(data) < 65536:
header[1] |= 126
header.extend(struct.pack('!H', len(data)))
elif len(data) < 9223372036854775808: # 2 ** 63
header[1] |= 127
header.extend(struct.pack('!Q', len(data)))
else:
# WTF?
raise ValueError('Frame too long')
# Masking.
if masked:
# Add key to header.
header.extend(maskkey)
# Actually mask data.
data = mask(maskkey, bytearray(data))
# Drain all that onto the wire.
with self._wrlock:
if self._written_close:
raise ConnectionClosedError(
'Trying to write data after close()')
self._write_raw(header)
self._write_raw(data)
self._flush_raw()
def write_frame(self, opcode, data):
"""
write_frame(opcode, data) -> None
Write a complete data frame with given opcode and data.
Arguments are validated. May raise exceptions as
write_single_frame() does.
"""
if opcode & constants.OPMASK_CONTROL or opcode == constants.OP_CONT:
raise ValueError('Trying to write non-data frame')
self.write_single_frame(opcode, data)
def write_text_frame(self, data):
"""
write_text_frame(data) -> None
Write an OP_TEXT frame with given data, which must be a Unicode
string.
"""
if not isinstance(data, unicode): raise TypeError('Invalid data')
return self.write_frame(constants.OP_TEXT, data)
def write_binary_frame(self, data):
"""
write_binary_frame(data) -> None
Write an OP_BINARY frame with given data.
"""
return self.write_frame(constants.OP_BINARY, data)
def close_now(self, force=False):
"""
close_now(force=False) -> None
Close the underlying files immediately. If force is true, they are
closed unconditionally, otherwise only if the close_wrapped attribute
is true.
This does not perform a proper closing handshake and should be
avoided in favor of close().
"""
# Waiting for locks contradicts the "now!" intention, so none of that
# here.
self._read_close = True
self._written_close = True
self._closed = True
if force or self.close_wrapped:
self._shutdown_raw(socket.SHUT_RDWR)
try:
self._rdfile.close()
except IOError:
pass
try:
self._wrfile.close()
except IOError:
pass
if self._socket:
try:
self._socket.close()
except socket.error:
pass
def close_ex(self, code=None, message=None, wait=True):
"""
close_ex(code=None, message=None, wait=True) -> None
Close the underlying connection, delivering the code and message
(if given) to the other point. If code is None, message is
ignored. If message is a Unicode string, it is encoded using
UTF-8. If wait is true, this will read frames from self and discard
them until the other side acknowledges the close; as this may cause
data loss, be careful. The default is to ensure the WebSocket is
fully closed when the call finishes; when closing a WebSocket that
is read from in a different thread, specify wait=False and let the
other thread consume any remaining input.
If the connection is already closed, the method has no effect
(but might raise an exception if encoding code or message fails).
"""
# Construct payload.
payload = bytearray()
if code is not None:
# Add code.
payload.extend(struct.pack('!H', code))
# Add message.
if message is None:
pass
elif isinstance(message, unicode):
payload.extend(message.encode('utf-8'))
else:
payload.extend(message)
with self._wrlock:
# Already closed?
if self._written_close:
# Close underlying streams if necessary.
if self._read_close:
if not self._closed:
self.close_now()
wait = False
else:
# Write close frame.
self.write_single_frame(constants.OP_CLOSE, payload)
# Close frame written.
self._written_close = True
self._shutdown_raw(socket.SHUT_WR)
# Wait for close if desired.
if wait:
with self._rdlock:
while self.read_frame(True): pass
self.close_ex(wait=False)
def close(self, message=None, wait=True):
"""
close(message=None, wait=True) -> None
Close the underlying connection with a code of CLOSE_NORMAL and
the (optional) given message. If wait is true, this will read
frames from self until the other side acknowledges the close; as
this may cause data loss, be careful.
"""
self.close_ex(constants.CLOSE_NORMAL, message, wait)
def parse_close(self, content):
"""
parse_close(content) -> (code, message)
Parse the given content as the payload of a OP_CLOSE frame, and
return the error code (as an unsigned integer) and the error
payload (as a bytes object). If content is empty, the tuple
(None, None) is returned, to aid round-tripping into close().
Raises InvalidDataError if the content has a length of 1.
"""
if not content:
return (None, None)
elif len(content) == 1:
raise InvalidDataError('Invalid close frame payload')
else:
return (struct.unpack('!H', content[:2])[0], content[2:])
def wrap(*args, **kwds):
"""
wrap(file1[, file2], **kwds) -> WebSocket
Try to wrap file1 and (if given) file2 into a WebSocket.
Convenience method for static factory methods: If both file1 and file2 are
given, they are passed to from_files(); if otherwise file1 has recv and
send attributes, it is passed to from_socket(), otherwise, it is passed to
from_file().
"""
if len(args) == 0:
raise TypeError('Cannot wrap nothing')
elif len(args) == 1:
f = args[0]
if hasattr(f, 'recv') and hasattr(f, 'send'):
return WebSocketFile.from_socket(f, **kwds)
else:
return WebSocketFile.from_file(f, **kwds)
elif len(args) == 2:
return WebSocketFile.from_files(args[0], args[1], **kwds)
else:
raise TypeError('Too many arguments')
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220,
220,
930,
198,
2,
1343,
1783,
24305,
10,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
1343,
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2,
1058,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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220,
7119,
2220,
6060,
3767,
2644,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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2,
1343,
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532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
532,
1343,
198,
2,
930,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7119,
2220,
6060,
3767,
2644,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
930,
198,
2,
1343,
47232,
24305,
10,
198,
198,
2,
383,
366,
32707,
1,
19348,
2389,
973,
329,
1882,
12,
13908,
39105,
12,
38855,
13,
198,
45820,
2149,
62,
38,
27586,
796,
28000,
1098,
10786,
25600,
16412,
7708,
20,
12,
36,
24,
1415,
12,
2857,
5631,
12,
3865,
8141,
12,
34,
20,
6242,
15,
9697,
5332,
33,
1157,
11537,
198,
198,
4299,
1429,
62,
2539,
7,
2539,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
1429,
62,
2539,
7,
2539,
8,
4613,
28000,
1098,
628,
220,
220,
220,
26981,
262,
1813,
1994,
355,
2672,
284,
1296,
257,
1882,
12,
13908,
39105,
12,
38855,
198,
220,
220,
220,
2214,
11,
290,
1441,
262,
649,
1994,
13,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
2207,
62,
2539,
796,
357,
46903,
1098,
7,
2539,
8,
1343,
28263,
2149,
62,
38,
27586,
737,
268,
8189,
10786,
292,
979,
72,
11537,
198,
220,
220,
220,
1217,
62,
2539,
796,
2779,
2414,
13,
65,
2414,
268,
8189,
7,
17831,
8019,
13,
26270,
16,
7,
12685,
62,
2539,
737,
12894,
395,
28955,
198,
220,
220,
220,
1441,
1217,
62,
2539,
13,
12501,
1098,
10786,
292,
979,
72,
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4299,
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32431,
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5456,
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28,
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11,
787,
2539,
28,
14202,
8,
4613,
2163,
628,
220,
220,
220,
35006,
262,
5456,
12,
1589,
3354,
286,
257,
5313,
39105,
42231,
13,
198,
220,
220,
220,
24697,
318,
257,
16855,
422,
13639,
3891,
284,
13639,
3815,
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34371,
198,
220,
220,
220,
13042,
8,
543,
318,
9518,
287,
12,
5372,
351,
5313,
39105,
24697,
13,
198,
220,
220,
220,
1237,
418,
318,
530,
286,
25,
198,
220,
220,
220,
532,
6045,
284,
407,
32740,
850,
11235,
4668,
82,
11,
198,
220,
220,
220,
532,
317,
2060,
4731,
973,
3264,
355,
262,
1882,
12,
13908,
39105,
12,
19703,
4668,
13639,
11,
198,
220,
220,
220,
532,
317,
1351,
286,
13042,
11,
543,
389,
5399,
416,
725,
1045,
656,
262,
1988,
286,
262,
198,
220,
220,
220,
220,
220,
1882,
12,
13908,
39105,
12,
19703,
4668,
13639,
13,
198,
220,
220,
220,
24550,
326,
262,
1988,
286,
1237,
418,
318,
407,
31031,
13,
198,
220,
220,
220,
787,
2539,
11,
611,
407,
6045,
11,
318,
257,
2163,
326,
5860,
257,
18022,
4731,
286,
4129,
198,
220,
220,
220,
1467,
326,
318,
973,
355,
262,
2779,
286,
262,
1882,
12,
13908,
39105,
12,
9218,
13639,
13,
1002,
787,
2539,
198,
220,
220,
220,
318,
6045,
11,
28686,
13,
333,
3749,
3419,
318,
973,
13,
198,
220,
220,
220,
383,
1441,
1988,
318,
257,
2163,
326,
2753,
262,
2882,
24697,
357,
259,
262,
198,
220,
220,
220,
976,
5794,
355,
24697,
8,
355,
262,
691,
11507,
290,
12073,
257,
20497,
12331,
198,
220,
220,
220,
611,
262,
42231,
318,
407,
4388,
13,
1002,
262,
42231,
1635,
271,
9,
4388,
11,
262,
198,
220,
220,
220,
2163,
5860,
262,
850,
11235,
4668,
6163,
416,
262,
4382,
357,
64,
4731,
326,
198,
220,
220,
220,
1276,
423,
587,
1944,
287,
1237,
418,
828,
393,
6045,
357,
1640,
645,
850,
11235,
4668,
737,
198,
220,
220,
220,
24550,
326,
428,
5888,
857,
407,
1104,
18366,
13,
1114,
2003,
198,
220,
220,
220,
220,
220,
220,
220,
220,
17764,
11,
340,
561,
307,
34998,
284,
11986,
787,
2539,
11,
611,
379,
477,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
355,
257,
21179,
4578,
13,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
825,
2198,
62,
26209,
7,
4363,
50145,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
366,
4834,
19532,
262,
1813,
14626,
2882,
24697,
389,
257,
4938,
25290,
42231,
526,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
49899,
1994,
290,
584,
7032,
13,
198,
220,
220,
220,
220,
220,
220,
220,
611,
1217,
50145,
13,
1136,
10786,
6558,
12,
13908,
39105,
12,
38855,
11537,
14512,
1429,
62,
2539,
7,
2539,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
20497,
12331,
10786,
44651,
2882,
1994,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
611,
1217,
50145,
13,
1136,
10786,
6558,
12,
13908,
39105,
12,
11627,
5736,
6,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
20497,
12331,
10786,
11627,
5736,
407,
4855,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
279,
796,
1217,
50145,
13,
1136,
10786,
6558,
12,
13908,
39105,
12,
19703,
4668,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
1002,
1237,
418,
318,
6045,
11,
1262,
262,
366,
259,
1,
10088,
743,
2038,
13,
198,
220,
220,
220,
220,
220,
220,
220,
611,
279,
290,
357,
1662,
1237,
418,
393,
279,
407,
287,
1237,
418,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
20497,
12331,
10786,
44651,
850,
11235,
4668,
2722,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
279,
198,
220,
220,
220,
611,
787,
2539,
318,
6045,
25,
787,
2539,
796,
37456,
25,
28686,
13,
333,
3749,
7,
1433,
8,
198,
220,
220,
220,
24697,
13,
19119,
15090,
6,
32048,
10354,
705,
44948,
3256,
705,
44948,
10354,
705,
732,
1443,
5459,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
705,
6558,
12,
13908,
39105,
12,
14815,
10354,
705,
1485,
6,
30072,
198,
220,
220,
220,
611,
318,
39098,
7,
11235,
418,
11,
965,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
24697,
17816,
6558,
12,
13908,
39105,
12,
19703,
4668,
20520,
796,
1237,
418,
198,
220,
220,
220,
1288,
361,
1237,
418,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
24697,
17816,
6558,
12,
13908,
39105,
12,
19703,
4668,
20520,
796,
46083,
45302,
22179,
7,
11235,
418,
8,
198,
220,
220,
220,
1994,
796,
2779,
2414,
13,
65,
2414,
268,
8189,
7,
15883,
2539,
3419,
737,
12501,
1098,
10786,
292,
979,
72,
11537,
198,
220,
220,
220,
24697,
17816,
6558,
12,
13908,
39105,
12,
9218,
20520,
796,
1994,
198,
220,
220,
220,
1441,
2198,
62,
26209,
198,
198,
4299,
4382,
62,
4993,
32431,
7,
50145,
11,
1237,
418,
28,
14202,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
4382,
62,
4993,
32431,
7,
50145,
11,
1237,
418,
28,
14202,
8,
4613,
8633,
628,
220,
220,
220,
35006,
262,
4382,
12,
1589,
636,
286,
257,
5313,
39105,
42231,
13,
198,
220,
220,
220,
24697,
318,
257,
3975,
278,
422,
13639,
3891,
284,
13639,
3815,
357,
16885,
34371,
198,
220,
220,
220,
13042,
828,
543,
318,
31031,
13,
198,
220,
220,
220,
1237,
418,
318,
530,
286,
25,
198,
220,
220,
220,
532,
6045,
284,
7603,
645,
850,
11235,
4668,
82,
11,
198,
220,
220,
220,
532,
317,
8379,
393,
13216,
10223,
12,
12381,
320,
863,
4731,
286,
3891,
286,
6292,
198,
220,
220,
220,
220,
220,
850,
11235,
4668,
82,
357,
1169,
717,
850,
11235,
4668,
5150,
416,
262,
5456,
326,
318,
198,
220,
220,
220,
220,
220,
287,
262,
1351,
318,
6163,
828,
198,
220,
220,
220,
532,
317,
2163,
2263,
262,
1351,
286,
850,
11235,
4668,
82,
5150,
416,
262,
5456,
355,
198,
220,
220,
220,
220,
220,
262,
691,
4578,
290,
8024,
257,
850,
11235,
4668,
1438,
393,
6045,
13,
198,
220,
220,
220,
383,
1441,
1988,
318,
257,
16855,
286,
24697,
284,
307,
3017,
287,
262,
2882,
13,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
1303,
383,
3210,
4433,
257,
14504,
13639,
986,
1521,
407,
986,
198,
220,
220,
220,
611,
705,
17932,
6,
407,
287,
24697,
25,
198,
220,
220,
220,
220,
220,
220,
220,
4049,
10786,
43730,
14504,
13639,
11537,
198,
220,
220,
220,
1303,
3254,
20540,
24236,
13639,
13,
198,
220,
220,
220,
611,
705,
732,
1443,
5459,
6,
407,
287,
24697,
13,
1136,
10786,
44948,
3256,
10148,
737,
21037,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
4049,
10786,
44651,
14,
43730,
24236,
13639,
11537,
198,
220,
220,
220,
1303,
3254,
20540,
8435,
2196,
13,
198,
220,
220,
220,
611,
24697,
13,
1136,
10786,
6558,
12,
13908,
39105,
12,
14815,
11537,
14512,
705,
1485,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
4049,
10786,
44651,
5313,
39105,
2196,
22759,
28,
1511,
8,
11537,
198,
220,
220,
220,
1303,
3254,
20540,
26923,
13639,
13,
198,
220,
220,
220,
4637,
796,
685,
72,
13,
21037,
22446,
36311,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
1312,
287,
24697,
13,
1136,
10786,
32048,
3256,
10148,
737,
35312,
7,
3256,
11537,
60,
198,
220,
220,
220,
611,
705,
929,
9526,
6,
407,
287,
4637,
25,
198,
220,
220,
220,
220,
220,
220,
220,
4049,
10786,
44651,
14,
43730,
26923,
13639,
11537,
198,
220,
220,
220,
1303,
3254,
20540,
262,
1994,
13,
198,
220,
220,
220,
1994,
796,
24697,
13,
1136,
10786,
6558,
12,
13908,
39105,
12,
9218,
11537,
198,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
611,
18896,
7,
8692,
2414,
13,
65,
2414,
12501,
1098,
7,
83,
26730,
4879,
7,
2539,
22305,
14512,
1467,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4049,
10786,
44651,
5313,
39105,
1994,
4129,
11537,
198,
220,
220,
220,
2845,
357,
6030,
12331,
11,
11052,
12331,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
4049,
10786,
44651,
5313,
39105,
1994,
11537,
198,
220,
220,
220,
1303,
49751,
389,
407,
4855,
13,
198,
220,
220,
220,
1303,
1355,
583,
33532,
351,
850,
11235,
4668,
16326,
13,
198,
220,
220,
220,
1237,
2536,
796,
24697,
13,
1136,
10786,
6558,
12,
13908,
39105,
12,
19703,
4668,
3256,
10148,
8,
198,
220,
220,
220,
1237,
4868,
796,
29565,
72,
13,
36311,
3419,
329,
1312,
287,
1237,
2536,
13,
35312,
7,
3256,
11537,
60,
611,
1237,
2536,
2073,
685,
12962,
198,
220,
220,
220,
611,
1237,
418,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
581,
381,
305,
1462,
796,
6045,
198,
220,
220,
220,
1288,
361,
869,
540,
7,
11235,
418,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
581,
381,
305,
1462,
796,
1237,
418,
7,
11235,
4868,
8,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
611,
318,
39098,
7,
11235,
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1216,
13,
19662,
4906,
6624,
38491,
13,
3185,
62,
32541,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
21437,
796,
2116,
13557,
12501,
12342,
13,
12501,
1098,
7,
8310,
13,
15577,
2220,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1216,
13,
20311,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2845,
11052,
12331,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
17665,
6601,
12331,
10786,
44651,
3275,
21437,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
21437,
796,
1216,
13,
15577,
2220,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
2039,
3174,
25882,
10943,
10234,
49,
10067,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
357,
944,
13,
22921,
10943,
10234,
49,
10067,
318,
407,
6045,
290,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
809,
2704,
268,
1343,
18896,
7,
15577,
2220,
8,
1875,
2116,
13,
22921,
10943,
10234,
49,
10067,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
18224,
10786,
42974,
12061,
5739,
1165,
890,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2438,
28,
9979,
1187,
13,
32737,
62,
44,
1546,
4090,
8264,
62,
51,
6684,
62,
3483,
38,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
43426,
1988,
329,
8024,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4818,
388,
796,
16000,
7,
8310,
13,
19662,
4906,
11,
21437,
11,
1216,
13,
20311,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
3310,
446,
11305,
4235,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
4269,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
4818,
388,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
6366,
388,
5039,
1729,
12,
20311,
13431,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
42684,
13,
33295,
7,
19608,
388,
13,
11299,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
809,
2704,
268,
15853,
18896,
7,
19608,
388,
13,
11299,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
13707,
611,
2457,
3275,
12956,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
4818,
388,
13,
20311,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
4818,
388,
13,
19662,
4906,
6624,
38491,
13,
3185,
62,
32541,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2779,
796,
28000,
1098,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2779,
796,
9881,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
16000,
7,
19608,
388,
13,
19662,
4906,
11,
2779,
13,
22179,
7,
29325,
828,
6407,
8,
628,
220,
220,
220,
825,
5412,
62,
13716,
7,
944,
11,
1034,
8189,
11,
269,
429,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
5412,
62,
13716,
7,
404,
8189,
11,
269,
429,
8,
4613,
20512,
628,
220,
220,
220,
220,
220,
220,
220,
33141,
257,
1630,
5739,
13,
198,
220,
220,
220,
220,
220,
220,
220,
34099,
416,
1100,
62,
14535,
3419,
611,
257,
1630,
5739,
318,
1100,
11,
284,
44672,
257,
198,
220,
220,
220,
220,
220,
220,
220,
2672,
2882,
366,
292,
2582,
355,
8472,
1911,
198,
220,
220,
220,
220,
220,
220,
220,
383,
1441,
1988,
4952,
1771,
340,
318,
3338,
284,
2555,
3555,
198,
220,
220,
220,
220,
220,
220,
220,
357,
7942,
828,
393,
611,
412,
19238,
357,
72,
13,
68,
13,
257,
1969,
5739,
8,
373,
4251,
357,
9562,
737,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
611,
1034,
8189,
6624,
38491,
13,
3185,
62,
47,
2751,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
13564,
62,
29762,
62,
14535,
7,
9979,
1187,
13,
3185,
62,
47,
18494,
11,
269,
429,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
1034,
8189,
6624,
38491,
13,
3185,
62,
32737,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
961,
62,
19836,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
49625,
2902,
62,
1831,
7,
44971,
13,
9693,
3843,
62,
35257,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
19836,
62,
1069,
46491,
944,
13,
29572,
62,
19836,
7,
66,
429,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
10352,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
6407,
628,
220,
220,
220,
825,
4808,
18224,
7,
944,
11,
3275,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
366,
38052,
20947,
526,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
18224,
7,
20500,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
2195,
495,
9706,
857,
407,
2555,
13,
198,
220,
220,
220,
220,
220,
220,
220,
5298,
43160,
12331,
10786,
18224,
3419,
4504,
11537,
628,
220,
220,
220,
825,
4049,
7,
944,
11,
3275,
11,
2438,
28,
9979,
1187,
13,
32737,
62,
4805,
2394,
4503,
3535,
62,
7708,
4146,
11335,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
4049,
7,
20500,
11,
2438,
28,
32737,
62,
4805,
2394,
4503,
3535,
62,
7708,
4146,
11335,
8,
4613,
685,
19703,
4668,
12331,
60,
628,
220,
220,
220,
220,
220,
220,
220,
16204,
378,
281,
18801,
4637,
1969,
290,
5298,
257,
20497,
12331,
13,
198,
220,
220,
220,
220,
220,
220,
220,
2438,
318,
262,
4049,
2438,
284,
779,
13,
198,
220,
220,
220,
220,
220,
220,
220,
770,
2446,
318,
1444,
422,
1100,
62,
29762,
62,
14535,
3419,
611,
281,
12515,
198,
220,
220,
220,
220,
220,
220,
220,
5739,
318,
12326,
13,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
775,
481,
8941,
307,
1498,
284,
6179,
1997,
262,
584,
1735,
48300,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
379,
428,
966,
13,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
961,
62,
19836,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
19836,
62,
1069,
7,
8189,
11,
3275,
8,
198,
220,
220,
220,
220,
220,
220,
220,
5298,
20497,
12331,
7,
20500,
11,
2438,
28,
8189,
8,
628,
220,
220,
220,
825,
3551,
62,
29762,
62,
14535,
7,
944,
11,
1034,
8189,
11,
1366,
11,
2457,
28,
17821,
11,
9335,
2539,
28,
14202,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
3551,
62,
29762,
62,
14535,
7,
404,
8189,
11,
1366,
11,
2457,
28,
17821,
11,
9335,
2539,
28,
14202,
8,
4613,
6045,
628,
220,
220,
220,
220,
220,
220,
220,
19430,
257,
5739,
351,
262,
1813,
10007,
13,
198,
220,
220,
220,
220,
220,
220,
220,
2457,
15947,
1771,
262,
5739,
318,
2457,
26,
1034,
8189,
318,
530,
286,
262,
198,
220,
220,
220,
220,
220,
220,
220,
13349,
62,
9,
38491,
26,
1366,
318,
262,
21437,
286,
262,
3275,
13,
9335,
2539,
11,
611,
198,
220,
220,
220,
220,
220,
220,
220,
407,
6045,
11,
318,
257,
4129,
12,
14337,
18022,
8379,
326,
15947,
543,
198,
220,
220,
220,
220,
220,
220,
220,
9335,
1994,
284,
779,
11,
4306,
11,
4899,
13,
3605,
62,
27932,
3419,
481,
307,
24399,
284,
198,
220,
220,
220,
220,
220,
220,
220,
2251,
530,
611,
3306,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1002,
1034,
8189,
318,
13349,
62,
32541,
11,
1366,
743,
307,
257,
34371,
393,
257,
18022,
4731,
11,
198,
220,
220,
220,
220,
220,
220,
220,
4306,
11,
1366,
1276,
307,
257,
18022,
4731,
13,
1002,
262,
2099,
286,
1366,
318,
198,
220,
220,
220,
220,
220,
220,
220,
15679,
11,
5994,
12331,
318,
4376,
13,
198,
220,
220,
220,
220,
220,
220,
220,
7567,
2696,
26923,
2601,
1335,
12331,
318,
262,
4637,
318,
1541,
4838,
198,
220,
220,
220,
220,
220,
220,
220,
393,
9605,
13,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
3254,
20540,
7159,
13,
198,
220,
220,
220,
220,
220,
220,
220,
611,
407,
38491,
13,
3185,
62,
23678,
19841,
1034,
8189,
19841,
38491,
13,
3185,
62,
22921,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
11052,
12331,
10786,
18257,
8189,
503,
286,
2837,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
611,
318,
39098,
7,
7890,
11,
28000,
1098,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1034,
8189,
14512,
38491,
13,
3185,
62,
32541,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
5994,
12331,
10786,
3118,
291,
1098,
21437,
1020,
69,
798,
329,
705,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
13159,
12,
3118,
291,
1098,
1034,
8189,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
796,
1366,
13,
268,
8189,
10786,
40477,
12,
23,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
407,
318,
39098,
7,
7890,
11,
357,
33661,
11,
416,
83,
451,
2433,
8,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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25,
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28,
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13639,
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7,
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13,
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0,
39,
3256,
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7,
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198,
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220,
220,
220,
220,
220,
1288,
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7,
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8,
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860,
1828,
2091,
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2623,
5332,
2857,
2425,
28362,
25,
1303,
362,
12429,
8093,
198,
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220,
220,
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220,
220,
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28,
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13639,
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7,
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13,
8002,
10786,
0,
48,
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7,
7890,
22305,
198,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
370,
10234,
30,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
11052,
12331,
10786,
19778,
1165,
890,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
18007,
278,
13,
198,
220,
220,
220,
220,
220,
220,
220,
611,
29229,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
3060,
1994,
284,
13639,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
13,
2302,
437,
7,
27932,
2539,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
18689,
9335,
1366,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
796,
9335,
7,
27932,
2539,
11,
416,
83,
451,
2433,
7,
7890,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
36024,
477,
326,
4291,
262,
6503,
13,
198,
220,
220,
220,
220,
220,
220,
220,
351,
2116,
13557,
18351,
5354,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
2116,
13557,
15266,
62,
19836,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
26923,
2601,
1335,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
51,
14992,
284,
3551,
1366,
706,
1969,
3419,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
13564,
62,
1831,
7,
25677,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
13564,
62,
1831,
7,
7890,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
25925,
62,
1831,
3419,
628,
220,
220,
220,
825,
3551,
62,
14535,
7,
944,
11,
1034,
8189,
11,
1366,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
3551,
62,
14535,
7,
404,
8189,
11,
1366,
8,
4613,
6045,
628,
220,
220,
220,
220,
220,
220,
220,
19430,
257,
1844,
1366,
5739,
351,
1813,
1034,
8189,
290,
1366,
13,
198,
220,
220,
220,
220,
220,
220,
220,
20559,
2886,
389,
31031,
13,
1737,
5298,
13269,
355,
198,
220,
220,
220,
220,
220,
220,
220,
3551,
62,
29762,
62,
14535,
3419,
857,
13,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
611,
1034,
8189,
1222,
38491,
13,
3185,
31180,
42,
62,
10943,
5446,
3535,
393,
1034,
8189,
6624,
38491,
13,
3185,
62,
37815,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
11052,
12331,
10786,
51,
14992,
284,
3551,
1729,
12,
7890,
5739,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
13564,
62,
29762,
62,
14535,
7,
404,
8189,
11,
1366,
8,
628,
220,
220,
220,
825,
3551,
62,
5239,
62,
14535,
7,
944,
11,
1366,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
3551,
62,
5239,
62,
14535,
7,
7890,
8,
4613,
6045,
628,
220,
220,
220,
220,
220,
220,
220,
19430,
281,
13349,
62,
32541,
5739,
351,
1813,
1366,
11,
543,
1276,
307,
257,
34371,
198,
220,
220,
220,
220,
220,
220,
220,
4731,
13,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
611,
407,
318,
39098,
7,
7890,
11,
28000,
1098,
2599,
5298,
5994,
12331,
10786,
44651,
1366,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
13564,
62,
14535,
7,
9979,
1187,
13,
3185,
62,
32541,
11,
1366,
8,
628,
220,
220,
220,
825,
3551,
62,
39491,
62,
14535,
7,
944,
11,
1366,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
3551,
62,
39491,
62,
14535,
7,
7890,
8,
4613,
6045,
628,
220,
220,
220,
220,
220,
220,
220,
19430,
281,
13349,
62,
33,
1268,
13153,
5739,
351,
1813,
1366,
13,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
13564,
62,
14535,
7,
9979,
1187,
13,
3185,
62,
33,
1268,
13153,
11,
1366,
8,
628,
220,
220,
220,
825,
1969,
62,
2197,
7,
944,
11,
2700,
28,
25101,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1969,
62,
2197,
7,
3174,
28,
25101,
8,
4613,
6045,
628,
220,
220,
220,
220,
220,
220,
220,
13872,
262,
10238,
3696,
3393,
13,
1002,
2700,
318,
2081,
11,
484,
389,
198,
220,
220,
220,
220,
220,
220,
220,
4838,
31776,
8736,
11,
4306,
691,
611,
262,
1969,
62,
29988,
1496,
11688,
198,
220,
220,
220,
220,
220,
220,
220,
318,
2081,
13,
198,
220,
220,
220,
220,
220,
220,
220,
770,
857,
407,
1620,
257,
1774,
9605,
42231,
290,
815,
307,
198,
220,
220,
220,
220,
220,
220,
220,
13941,
287,
2661,
286,
1969,
22446,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
39669,
329,
19253,
40081,
262,
366,
2197,
2474,
6778,
11,
523,
4844,
286,
326,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
994,
13,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
961,
62,
19836,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
15266,
62,
19836,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
20225,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
611,
2700,
393,
2116,
13,
19836,
62,
29988,
1496,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
49625,
2902,
62,
1831,
7,
44971,
13,
9693,
3843,
62,
35257,
18564,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
4372,
7753,
13,
19836,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2845,
24418,
12331,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1208,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
18351,
7753,
13,
19836,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2845,
24418,
12331,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1208,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
2116,
13557,
44971,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
44971,
13,
19836,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2845,
17802,
13,
18224,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1208,
628,
220,
220,
220,
825,
1969,
62,
1069,
7,
944,
11,
2438,
28,
14202,
11,
3275,
28,
14202,
11,
4043,
28,
17821,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1969,
62,
1069,
7,
8189,
28,
14202,
11,
3275,
28,
14202,
11,
4043,
28,
17821,
8,
4613,
6045,
628,
220,
220,
220,
220,
220,
220,
220,
13872,
262,
10238,
4637,
11,
13630,
262,
2438,
290,
3275,
198,
220,
220,
220,
220,
220,
220,
220,
357,
361,
1813,
8,
284,
262,
584,
966,
13,
1002,
2438,
318,
6045,
11,
3275,
318,
198,
220,
220,
220,
220,
220,
220,
220,
9514,
13,
1002,
3275,
318,
257,
34371,
4731,
11,
340,
318,
30240,
1262,
198,
220,
220,
220,
220,
220,
220,
220,
41002,
12,
23,
13,
1002,
4043,
318,
2081,
11,
428,
481,
1100,
13431,
422,
2116,
290,
27537,
198,
220,
220,
220,
220,
220,
220,
220,
606,
1566,
262,
584,
1735,
23477,
262,
1969,
26,
355,
428,
743,
2728,
198,
220,
220,
220,
220,
220,
220,
220,
1366,
2994,
11,
307,
8161,
13,
383,
4277,
318,
284,
4155,
262,
5313,
39105,
318,
198,
220,
220,
220,
220,
220,
220,
220,
3938,
4838,
618,
262,
869,
20271,
26,
618,
9605,
257,
5313,
39105,
326,
198,
220,
220,
220,
220,
220,
220,
220,
318,
1100,
422,
287,
257,
1180,
4704,
11,
11986,
4043,
28,
25101,
290,
1309,
262,
198,
220,
220,
220,
220,
220,
220,
220,
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] | 2.214892 | 15,659 |
import cocpit
import cocpit.config as config # isort: split
import os
import time
import pandas as pd
import torch
def build_model():
"""
train ML models
"""
# loop through batch sizes, models, epochs, and/or folds
for batch_size in config.BATCH_SIZE:
print("BATCH SIZE: ", batch_size)
for model_name in config.MODEL_NAMES:
print("MODEL: ", model_name)
for epochs in config.MAX_EPOCHS:
print("MAX EPOCH: ", epochs)
cocpit.setup_training.main(
batch_size,
model_name,
epochs,
)
def classification():
"""
classify images using the ML model
"""
print("running ML model to classify ice...")
start_time = time.time()
# load ML model for predictions
model = torch.load(config.MODEL_PATH)
# load df of quality ice particles to make predictions on
df = pd.read_csv(df_path)
df = cocpit.run_model.main(df, model) # remove open_dir from run_model
# df.to_csv(df_path, index=False)
print("done classifying all images!")
print("time to classify ice = %.2f seconds" % (time.time() - start_time))
if __name__ == "__main__":
print(
"num workers in loader = {}".format(config.NUM_WORKERS)
) if config.CLASSIFICATION or config.BUILD_MODEL else print(
"num cpus for parallelization = {}".format(config.NUM_WORKERS)
)
# only run one arbitrary year in loop if building model
years = [2018] if config.BUILD_MODEL else [2018, 2019, 2020, 2021]
for year in years:
print("years: ", year)
# create dir for final databases
outname = f"{year}.parquet"
df_path = os.path.join(config.FINAL_DIR, outname)
if config.BUILD_MODEL:
build_model()
if config.CLASSIFICATION:
classification()
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17923,
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] | 2.361386 | 808 |
"""
receiveEther.py
Faris Ahmetasevic, Marco Banholzer, Nderim Shatri
This code receives raw ethernet packets, which were sent to a network using the scapy library.
"""
from scapy.all import conf
import struct
"""
This function returns the converted information of the packets.
:param data: the bytes data which gets split up to get the mac-addresses and the protocol
:type: bytes
"""
"""
This function returns the converted MAC-addresses.
:param bytes_addr: bytes which represent the mac-address
:type: bytes
"""
"""
This function returns the converted protocol.
:param bytes_proto: bytes which represent the protocol
:type: bytes
"""
"""
The function filters the new sent packet with the protocol "0x7000" and prints the information.
:param interface: name of the network interface, for instance 'en0', 'en1', ...
:type: str
:return: the payload of the ethernet packet
:rtype: bytes
"""
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25,
81,
4906,
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220,
198,
37811,
628,
198
] | 3.586614 | 254 |
import json
from .core import Command, EntityRef, Resolvable
from .scoreboard import ScoreRef
from .nbt import Path, NBTStorable
| [
11748,
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# Copyright 2017 the pycolab 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
#
# https://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.
"""Simple message logging for pycolab game entities.
The interactive nature of pycolab games makes it difficult to do useful things
like "printf debugging"---if you're using an interface like the Curses UI, you
won't be able to see printed strings. This protocol allows game entities to log
messages to the Plot object. User interfaces can query this object and display
accumulated messages to the user in whatever way is best.
Most game implementations will not need to import this protocol directly---
logging is so fundamental that the Plot object expresses a `log` method that's
syntactic sugar for the log function in this file.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
def log(the_plot, message):
"""Log a message for eventual disposal by the game engine user.
Here, "game engine user" means a user interface or an environment interface,
for example. (Clients are not required to deal with messages, but if they do,
this is how to get a message to them.)
Most game implementations will not need to call this function directly---
logging is so fundamental that the Plot object expresses a `log` method that's
syntactic sugar for this function.
Args:
the_plot: the pycolab game's `Plot` object.
message: A string message to convey to the game engine user.
"""
the_plot.setdefault('log_messages', []).append(message)
def consume(the_plot):
"""Obtain messages logged by game entities since the last call to `consume`.
This function is meant to be called by "game engine users" (user interfaces,
environment interfaces, etc.) to obtain the latest set of log messages
emitted by the game entities. These systems can then dispose of these messages
in whatever manner is the most appropriate.
Args:
the_plot: the pycolab game's `Plot` object.
Returns:
The list of all log messages supplied by the `log` method since the last
time `consume` was called (or ever, if `consume` has never been called).
"""
messages = the_plot.setdefault('log_messages', [])
# Hand off the current messages to a new list that we return.
our_messages = messages[:]
del messages[:]
return our_messages
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198,
220,
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1441,
674,
62,
37348,
1095,
198
] | 3.676923 | 780 |
#!/usr/bin/env python
#
# ----------------------------------------------------------------------
#
# Brad T. Aagaard, U.S. Geological Survey
# Charles A. Williams, GNS Science
# Matthew G. Knepley, University of Chicago
#
# This code was developed as part of the Computational Infrastructure
# for Geodynamics (http://geodynamics.org).
#
# Copyright (c) 2010-2017 University of California, Davis
#
# See COPYING for license information.
#
# ----------------------------------------------------------------------
#
## @file pylith/materials/__init__.py
## @brief Python PyLith materials module initialization
__all__ = ['ElasticMaterial',
'ElasticIsotropic3D',
'ElasticPlaneStrain',
'ElasticPlaneStress',
'ElasticStrain1D',
'ElasticStress1D',
'GenMaxwellIsotropic3D',
'GenMaxwellQpQsIsotropic3D',
'Homogeneous',
'Material',
'MaxwellIsotropic3D',
'PowerLaw3D',
'PowerLawPlaneStrain',
'DruckerPrager3D',
]
# End of file
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] | 2.568019 | 419 |
import datetime as dt
import json
import os
import sys
import tensorflow as tf
import numpy as np
from subprocess import check_output
from itertools import zip_longest
def grouper(iterable, batch_size, fill_value=None):
""" Helper method for returning batches of size batch_size of a dataset.
grouper('ABCDEF', 3) -> 'ABC', 'DEF'
"""
args = [iter(iterable)] * batch_size
return zip_longest(*args, fillvalue=fill_value)
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] | 2.98 | 150 |
# Copyright (c) 2021 Xilinx, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * Neither the name of Xilinx nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import numpy as np
import onnx
import os
from onnx import helper
from pyverilator import PyVerilator
from finn.core.datatype import DataType
from finn.core.modelwrapper import ModelWrapper
from finn.custom_op.base import CustomOp
from finn.util.basic import make_build_dir
from finn.util.data_packing import (
npy_to_rtlsim_input,
unpack_innermost_dim_from_hex_string,
)
def _truthtable(input, care_set, results, in_bits):
"""Returns the output to a combination of x-bit input value. The care_set array
reflects the specific input combinations considered. The result vector represents
every output to every combination in the care_set. Thus, the length of care_set
and results must be the same. All the arrays are numpy arrays
The MSB in the input numpy array represents the LSB in the LUT.
An example is presented:
in_bits = 3
out_bits = 3
input[0:2] = [1, 0, 1]
care_set = [1, 5]
results = [3, 1]
The function checks if the decimal representation of the binary input is in
the care_set. If it is in the care_set, we check the result of the binary
input combination in the result. If the input is not part of the care_set,
the output will be zero.
The input in this example is [1,0,1], which is '5' in decimal representation.
The input is part of the care_set. Then, we check what is the position of 5
in the care_set, and we extract the value to input combination '5' from the
results vector, which in this case is '1'
Possible combinations[2:0]: input[0:2] | results[0:2]
0 0 0 | 0 0 0
0 0 1 | 0 1 1
0 1 0 | 0 0 0
0 1 1 | 0 0 0
> 1 0 0 | 0 0 1
1 0 1 | 0 0 0
1 1 0 | 0 0 0
1 1 1 | 0 0 0
"""
# calculate integer value of binary input
input_int = npy_to_rtlsim_input(input, DataType.BINARY, in_bits, False)[0]
if input_int in care_set:
index = np.where(care_set == input_int)[0][0]
output = results[index]
else:
output = 0
return output
class TruthTable(CustomOp):
"""The class corresponing to the TruthTable function."""
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1162,
4363,
12484,
284,
262,
14056,
10962,
2163,
526,
15931,
198
] | 2.573077 | 1,560 |
import pandas
from dnm_cohorts.person import Person
url = 'https://static-content.springer.com/esm/art%3A10.1038%2Fnature10989/MediaObjects/41586_2012_BFnature10989_MOESM11_ESM.xls'
def open_oroak_cohort():
""" get proband data from the O'Roak et al autism exome study
O'Roak et al. (2012) Nature 485:246-250
doi: 10.1038/nature10989
Supplementary table 1
"""
data = pandas.read_excel(url, sheet_name='Supplementary Table 1',
skipfooter=1, engine='xlrd')
study = ['10.1038/nature10989']
persons = set()
for i, row in data.iterrows():
status = ['HP:0000717']
person_type = row.child.split('.')[1]
# ignore the siblings, since they don't have any de novos recorded, so
# don't contribute to the exome-sequence populations
if person_type.startswith('s'):
continue
if row['non-verbal_IQ'] < 70:
status.append('HP:0001249')
person = Person(row.child + '|asd_cohorts', row.sex, status, study)
persons.add(person)
return persons
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] | 2.295983 | 473 |
from .resource import ResourceParser
| [
6738,
764,
31092,
1330,
20857,
46677,
628
] | 5.428571 | 7 |
import os
path = os.getcwd()
content = os.listdir(path)
last = 0
for f in content:
name, ext = os.path.splitext(f)
ep_num = name.split('x', 1)[1]
ep_num = int(ep_num.split(' -', 1)[0])
if ep_num != last + 1:
ep_num = last + 1
last += 1
season = name.split('x', 1)[0]
name = name.split(' - ', 1)[1]
new = f'{season}x{ep_num:02} - {name}{ext}'
os.rename(os.path.join(path, f), os.path.join(path, new))
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] | 2.167539 | 191 |
from OpenSSL import crypto
from socket import gethostname
import os
import array as arr
import subprocess
Major = 0
Minor = 0
Build = 0
with open('../../../../../demos/include/aws_application_version.h') as f:
for line in f:
if line.find('APP_VERSION_MAJOR') != -1:
x = line.split()
Major = int(x[2])
if line.find('APP_VERSION_MINOR') != -1:
x = line.split()
Minor = int(x[2])
if line.find('APP_VERSION_BUILD') != -1:
x = line.split()
Build = int(x[2])
print('Major:' + str(Major))
print('Minor:' + str(Minor))
print('Build:' + str(Build))
#version = 0xffffffff
version = Major*1000000 + Minor*1000 + Build
version_byte = version.to_bytes(4,'little')
headernum = 0x00000001
headernum_byte = headernum.to_bytes(4,'little')
signature = 0x3141544f
signature_byte = signature.to_bytes(4,'little')
headerlen = 0x00000018
headerlen_byte = headerlen.to_bytes(4,'little')
checksum = 0;
with open("./Debug/Exe/km4_image/km0_km4_image2.bin", "rb") as f:
byte = f.read(1)
num = int.from_bytes(byte, 'big')
checksum += num
while byte != b"":
byte = f.read(1)
num = int.from_bytes(byte, 'big')
checksum += num
checksum_byte = checksum.to_bytes(4,'little')
imagelen = os.path.getsize("./Debug/Exe/km4_image/km0_km4_image2.bin")
imagelen_bytes = imagelen.to_bytes(4, 'little')
offset = 0x00000020
offset_bytes = offset.to_bytes(4, 'little')
rvsd = 0x0800b000
rvsd_bytes = rvsd.to_bytes(4, 'little')
img2_bin = open('./Debug/Exe/km4_image/km0_km4_image2.bin', 'br').read()
f = open("./Debug/Exe/km4_image/OTA_ALL.bin", 'wb')
f.write(version_byte)
f.write(headernum_byte)
f.write(signature_byte)
f.write(headerlen_byte)
f.write(checksum_byte)
f.write(imagelen_bytes)
f.write(offset_bytes)
f.write(rvsd_bytes)
f.write(img2_bin)
f.close()
#Reading the Private key generated using openssl(should be generated using ECDSA P256 curve)
f = open("ecdsa-sha256-signer.key.pem")
pv_buf = f.read()
f.close()
priv_key = crypto.load_privatekey(crypto.FILETYPE_PEM, pv_buf)
#Reading the certificate generated using openssl(should be generated using ECDSA P256 curve)
f = open("ecdsa-sha256-signer.crt.pem")
ss_buf = f.read()
f.close()
ss_cert = crypto.load_certificate(crypto.FILETYPE_PEM, ss_buf)
#Reading OTA1 binary and individually signing it using the ECDSA P256 curve
ota1_bin = open('./Debug/Exe/km4_image/km0_km4_image2.bin', 'br').read()
# sign and verify PASS
ota1_sig = crypto.sign(priv_key, ota1_bin, 'sha256')
crypto.verify(ss_cert, ota1_sig, ota1_bin, 'sha256')
ota1_sig_size = len(ota1_sig)
#print(ota1_sig_size)
#opening the ota_all.bin and getting the number of padding bytes
f = open("./Debug/Exe/km4_image/OTA_All.bin", 'rb')
ota_all_buff = f.read()
f.close()
ota_all_size = os.path.getsize("./Debug/Exe/km4_image/OTA_All.bin")
#print(ota_all_size)
ota_padding = 1024-(ota_all_size%1024)
#print(int(ota_padding))
#padding 0's to make the last block of OTA equal to an integral multiple of block size
x = bytes([0] * ota_padding)
#append the 0 padding bytes followed by the 2 individual signatures of ota1 and ota2 along with their signature sizes
f = open("./Debug/Exe/km4_image/OTA_ALL_sig.bin", 'wb')
f.write(ota_all_buff)
f.write(x)
f.write(ota1_sig)
f.write(bytes([ota1_sig_size]))
f.close()
print('done')
#Debug info in case you want to check the actual signature binaries generated separately
'''
sf = open("ota1.sig", 'wb')
sf.write(ota1_sig)
sf.close()
sf = open("ota2.sig", 'wb')
sf.write(ota2_sig)
sf.close()
''' | [
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] | 2.275246 | 1,624 |
import base64
import binascii
import json
import re
import struct
import sys
import uuid
from typing import (
Any,
Callable,
Dict,
Type,
Union
)
# Util Functions
def toStr(s: Any) -> str:
"""
Convert a given type to a default string
:param s: item to convert to a string
:return: converted string
"""
return s.decode(sys.getdefaultencoding(), 'backslashreplace') if hasattr(s, 'decode') else str(s)
def prefixUUID(pre: str = 'PREFIX', max_len: int = 30) -> str:
"""
Prefix a uuid with the given prefix with a max length
:param pre: prefix str
:param max_len: max length of prefix + UUID
:return: prefixed UUID
"""
uid_max = max_len - (len(pre) + 10)
uid = str(uuid.uuid4()).replace('-', '')[:uid_max]
return f'{pre}-{uid}'[:max]
def safe_cast(val: Any, to_type: Type, default: Any = None) -> Any:
"""
Cast the given value to the goven type safely without an exception being thrown
:param val: value to cast
:param to_type: type to cast as
:param default: default value if casting fails
:return: casted value or given default/None
"""
try:
return to_type(val)
except (ValueError, TypeError):
return default
def safe_json(msg: Union[dict, str], encoders: Dict[Type, Callable[[Any], Any]] = None, *args, **kwargs) -> Union[dict, str]: # pylint: disable=keyword-arg-before-vararg
"""
Load JSON data if given a str and able
Dump JSON data otherwise, encoding using encoders & JSON Defaults
:param msg: str JSON to attempt to load
:param encoders: custom type encoding - Ex) -> {bytes: lambda b: b.decode('utf-8', 'backslashreplace')}
:return: loaded JSON data or original str
"""
if isinstance(msg, str):
try:
return json.loads(msg, *args, **kwargs)
except ValueError:
return msg
msg = default_encode(msg, encoders or {})
return json.dumps(msg, *args, **kwargs)
def check_values(val: Any) -> Any:
"""
Check the value of given and attempt to convert it to a bool, int, float
:param val: value to check
:return: converted/original value
"""
if isinstance(val, str):
if val.lower() in ("true", "false"):
return safe_cast(val, bool, val)
if re.match(r"^\d+\.\d+$", val):
return safe_cast(val, float, val)
if val.isdigit():
return safe_cast(val, int, val)
return val
def default_encode(itm: Any, encoders: Dict[Type, Callable[[Any], Any]] = None) -> Any:
"""
Default encode the given object to the predefined types
:param itm: object to encode/decode,
:param encoders: custom type encoding - Ex) -> {bytes: lambda b: b.decode('utf-8', 'backslashreplace')}
:return: default system encoded object
"""
if encoders and isinstance(itm, tuple(encoders.keys())):
return encoders[type(itm)](itm)
if isinstance(itm, dict):
return {default_encode(k): default_encode(v, encoders) for k, v in itm.items()}
if isinstance(itm, (list, set, tuple)):
return type(itm)(default_encode(i, encoders) for i in itm)
if isinstance(itm, (int, float)):
return itm
return toStr(itm)
def default_decode(itm: Any, decoders: Dict[Type, Callable[[Any], Any]] = None) -> Any:
"""
Default decode the given object to the predefined types
:param itm: object to encode/decode,
:param decoders: custom type decoding - Ex) -> {bytes: lambda b: b.decode('utf-8', 'backslashreplace')}
:return: default system encoded object
"""
print(itm)
if decoders and isinstance(itm, tuple(decoders.keys())):
return decoders[type(itm)](itm)
if isinstance(itm, dict):
return {default_decode(k, decoders): default_decode(v, decoders) for k, v in itm.items()}
if isinstance(itm, (list, set, tuple)):
return type(itm)(default_decode(i, decoders) for i in itm)
if isinstance(itm, (int, float)):
return itm
if isinstance(itm, str):
return check_values(itm)
return itm
# Utility Classes
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] | 2.499393 | 1,648 |
#!/usr/bin/env python
from threading import Timer
import rospy
from geometry_msgs.msg import Twist, Pose2D, PoseStamped
from std_msgs.msg import *
from move_base_msgs.msg import *
from actionlib_msgs.msg import *
from apriltags_ros.msg import *
avalability = False
tagOne = False
tagTwo = False
checkCBPub = rospy.Publisher('/checkEVcb',Bool,queue_size=1)
if __name__=="__main__":
rospy.init_node('elevator_checker')
rospy.Subscriber('/camera_rear/tag_detections',AprilTagDetectionArray,detectionCB)
rospy.Subscriber('/checkEV',Bool,chekc_elevator)
rospy.spin() | [
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] | 2.565789 | 228 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#---------------------------------------------------------------------------------
#
# ,--.
# | |-. ,---. ,---. ,--.--.,--,--,
# | .-. '| .-. :| .-. || .--'| \
# | `-' |\ --.' '-' '| | | || |
# `---' `----' `---' `--' `--''--'
#
# file: field_element
# desc: Base class for the field element.
#
# author: Peter Antoine
# date: 11/09/2015
#---------------------------------------------------------------------------------
# Copyright (c) 2015 Peter Antoine
# All rights Reserved.
# Released Under the MIT Licence
#---------------------------------------------------------------------------------
import beorn_lib.dialog
from beorn_lib.dialog.base.element import ElementItem
REQUIRED_PARAMETERS = [ 'height', 'items' ]
# vim: ts=4 sw=4 noexpandtab nocin ai
| [
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] | 2.276256 | 438 |
import sqlite3
from sqlite3.dbapi2 import DataError
import threading
import random
import string
from .datatypes import *
from .errors import *
# TODO: in-code documentation
# TODO: pragma values
QueryObjects = (RawReadObject, RawWriteObject,
CreateTableObject, AddColumnObject,
AddRowObject, RemoveRowObject,
GetObject, SetObject)
LogicObjects = (RemoveRowObject, GetObject, SetObject)
WriteObjects = (RawWriteObject, CreateTableObject, AddColumnObject,
AddRowObject, RemoveRowObject, SetObject) | [
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] | 2.716346 | 208 |
# Test file in Python style
# sync-start:correct 770446101 __examples__/correct_checksums/a.js
code = 1
# sync-end:correct
# sync-start:correct2 322927876 __examples__/correct_checksums/a.js
genwebpack/khan-apollo/fragment-types.js genfiles/graphql_schema.json: $(shell find */graphql */*/graphql -name '*.py' -a ! -name '*_test.py')
$(MAKE) update_secrets
build/compile_graphql_schemas.py
# sync-end:correct2 | [
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] | 2.597484 | 159 |
##
## Entry file when package is used as the main program.
##
if __name__ == '__main__':
from .main import main
main()
| [
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] | 2.954545 | 44 |
import numpy as np
from abraia import Multiple
multiple = Multiple()
| [
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] | 3.454545 | 22 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from shogitk.shogi import Coords, Move, BLACK, WHITE, DROP, PROMOTE
RANKNUM = {
'a': 1,
'b': 2,
'c': 3,
'd': 4,
'e': 5,
'f': 6,
'g': 7,
'h': 8,
'i': 9
}
| [
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] | 1.653409 | 176 |
# Bessel function of 2nd kind Y_n(x) on the real line for n=0,1,2,3
y0 = lambda x: bessely(0,x)
y1 = lambda x: bessely(1,x)
y2 = lambda x: bessely(2,x)
y3 = lambda x: bessely(3,x)
plot([y0,y1,y2,y3],[0,10],[-4,1]) | [
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from inspect import isclass
import os
import importlib.util
import sys
import logging
from pkgutil import iter_modules
def find_class(classname, directory):
'''
Search the specified directory for a file containing a python
implementation with the specified class name
:param classname: class name to look for
:param directory: directory to search for ``*.py`` files describing the class
:returns: ``class`` object of matching desired class (if found), or ``None`` (if not found)
'''
path = directory
for (finder, name, _) in iter_modules([path]):
if name == 'setup' or name == 'h5flow':
continue
try:
spec = finder.find_spec(name)
module = importlib.util.module_from_spec(spec)
sys.modules[name] = module
spec.loader.exec_module(module)
for attribute_name in dir(module):
attribute = getattr(module, attribute_name)
if isclass(attribute):
if attribute_name == classname:
logging.info(f'Using {classname} from {directory}/{name}.py')
return attribute
except Exception as e:
logging.debug(f'Encountered import error: {e}')
return None
def get_class(classname):
'''
Look in current directory, ``./h5flow_modules/``, and ``h5flow/modules/``
for the specified class. Raises a ``RuntimeError`` if class can't be
found in any of those directories.
:param classname: class name to search for
:returns: ``class`` object of desired class
'''
# first search in local directory
found_class = find_class(classname, './')
if found_class is None:
# then recurse into subdirectories
if found_class is None:
for parent, dirs, files in os.walk('./'):
for directory in dirs:
found_class = find_class(classname, os.path.join(parent, directory))
if found_class is not None:
break
if found_class is not None:
break
if found_class is None:
# then search in source
found_class = find_class(classname, os.path.dirname(__file__))
if found_class is None:
raise RuntimeError(f'no matching class {classname} found!')
return found_class
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] | 2.348077 | 1,040 |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
"""
main.py
@author ejnp
"""
from lexer import Lexer
from parser import Parser, ParserError
from visitors import BetaReduction
def interpret(input_string, print_reductions=False):
"""Performs normal order reduction on the given string lambda calculus
expression. Returns the expression's normal form if it exists.
"""
lexer = Lexer(input_string)
try:
ast = Parser(lexer).parse()
except ParserError as discrepancy:
print 'ParseError: ' + discrepancy.message
return None
normal_form = False
while not normal_form:
reducer = BetaReduction()
reduced_ast = reducer.visit(ast)
normal_form = not reducer.reduced
if print_reductions:
print unicode(ast)
ast = reduced_ast
return unicode(ast)
def main():
"""Begins an interactive lambda calculus interpreter"""
print "nameless!\nType 'quit' to exit."
while True:
read = raw_input('> ').decode('utf-8')
if read == 'quit':
break
if read != '':
interpret(read, print_reductions=True)
if __name__ == '__main__':
main()
| [
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] | 2.525641 | 468 |
from django.template import TemplateSyntaxError
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from django.http import Http404
from django.utils.encoding import smart_unicode
from django.template.loader import render_to_string
from django.utils.safestring import mark_safe
def render_inline(inline):
"""
Replace inline markup with template markup that matches the
appropriate app and model.
"""
# Look for inline type, 'app.model'
try:
app_label, model_name = inline['type'].split('.')
except:
if settings.DEBUG:
raise TemplateSyntaxError, "Couldn't find the attribute 'type' in the <inline> tag."
else:
return ''
# Look for content type
try:
content_type = ContentType.objects.get(app_label=app_label, model=model_name)
model = content_type.model_class()
except ContentType.DoesNotExist:
if settings.DEBUG:
raise TemplateSyntaxError, "Inline ContentType not found."
else:
return ''
# Check for an inline class attribute
try:
inline_class = smart_unicode(inline['class'])
except:
inline_class = ''
try:
try:
id_list = [int(i) for i in inline['ids'].split(',')]
obj_list = model.objects.in_bulk(id_list)
obj_list = list(obj_list[int(i)] for i in id_list)
context = { 'object_list': obj_list, 'class': inline_class }
except ValueError:
if settings.DEBUG:
raise ValueError, "The <inline> ids attribute is missing or invalid."
else:
return ''
except KeyError:
try:
obj = model.objects.get(pk=inline['id'])
context = { 'content_type':"%s.%s" % (app_label, model_name), 'object': obj, 'class': inline_class, 'settings': settings }
except model.DoesNotExist:
if settings.DEBUG:
raise model.DoesNotExist, "%s with pk of '%s' does not exist" % (model_name, inline['id'])
else:
return ''
except:
if settings.DEBUG:
raise TemplateSyntaxError, "The <inline> id attribute is missing or invalid."
else:
return ''
template = ["inlines/%s_%s.html" % (app_label, model_name), "inlines/default.html"]
rendered_inline = {'template':template, 'context':context}
return rendered_inline | [
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5298,
2746,
13,
13921,
3673,
3109,
396,
11,
36521,
82,
351,
279,
74,
286,
705,
4,
82,
6,
857,
407,
2152,
1,
4064,
357,
19849,
62,
3672,
11,
26098,
17816,
312,
6,
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198,
220,
220,
220,
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220,
220,
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220,
220,
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220,
2073,
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220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
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10148,
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220,
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220,
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220,
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220,
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220,
220,
220,
220,
220,
220,
220,
220,
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25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
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220,
220,
220,
11055,
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4,
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62,
4,
82,
13,
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1,
4064,
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62,
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828,
366,
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62,
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6,
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11,
705,
22866,
10354,
22866,
92,
628,
220,
220,
220,
1441,
15111,
62,
45145
] | 2.354442 | 1,058 |
from math import gcd
fractions = list()
for numerator in range(10, 100):
for denominator in range(numerator+1, 100):
actual = numerator / denominator
a = numerator // 10
b = numerator % 10
c = denominator // 10
d = denominator % 10
if (b == 0 and d == 0) or (a == b and c == d) or (a != d and b != c):
continue
if (a == d and c != 0 and actual == b/c):
fractions.append((numerator, denominator))
print('{0}/{1} == {2}/{3}'.format(numerator, denominator, a, c))
if (b == c and d != 0 and actual == a/d):
fractions.append((numerator, denominator))
print('{0}/{1} == {2}/{3}'.format(numerator, denominator, a, c))
n_product = 1
d_product = 1
for f in fractions:
print(f)
n_product *= f[0]
d_product *= f[1]
greatest_divisor = gcd(n_product, d_product)
final_denominator = d_product // greatest_divisor
print(final_denominator)
| [
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62,
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273,
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7,
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62,
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11,
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62,
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8,
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62,
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1352,
796,
288,
62,
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3373,
6000,
62,
7146,
271,
273,
198,
198,
4798,
7,
20311,
62,
6559,
6351,
1352,
8,
628
] | 2.402667 | 375 |
import datetime
import json
from django.conf import settings
from django.utils import timezone
| [
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198,
11748,
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6460,
198,
6738,
42625,
14208,
13,
26791,
1330,
640,
11340,
198
] | 3.84 | 25 |
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from datetime import datetime
import time
| [
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640,
201,
198,
201,
198,
201,
198,
201,
198
] | 3.246753 | 77 |
import sqlite3 as sqlite
from SQLObjectStore import SQLObjectStore
class SQLiteObjectStore(SQLObjectStore):
"""SQLiteObjectStore implements an object store backed by a SQLite database.
See the SQLite docs or the DB API 2.0 docs for more information:
https://docs.python.org/2/library/sqlite3.html
https://www.python.org/dev/peps/pep-0249/
"""
| [
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198,
220,
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220,
37227,
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] | 3 | 124 |
from django.conf import settings
from graphql import GraphQLError
from itdagene.graphql.loaders import Loaders
| [
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] | 3.323529 | 34 |
import click
import subprocess
import random
import string
import os
@click.group()
@cli.command()
@click.argument("runner")
@click.option("--editor", default="nano")
| [
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] | 3.25 | 52 |
# Copyright 2015 Red Hat, 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.
"""
In order to save gate resources, test paths that have similar
environmental requirements to the functional path are marked for
discovery.
"""
import os.path
| [
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220,
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198,
67,
40821,
13,
198,
37811,
198,
198,
11748,
28686,
13,
6978,
628
] | 3.527523 | 218 |
# Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""
#################train vgg16 example on cifar10########################
python train.py --data_path=$DATA_HOME --device_id=$DEVICE_ID
"""
import argparse
import datetime
import os
import random
import numpy as np
import mindspore.nn as nn
from mindspore import Tensor
from mindspore import context
from mindspore.nn.optim.momentum import Momentum
from mindspore.train.callback import ModelCheckpoint, CheckpointConfig, LossMonitor
from mindspore.train.model import Model
from mindspore.train.serialization import load_param_into_net, load_checkpoint
from mindarmour.utils import LogUtil
from examples.common.dataset.data_processing import vgg_create_dataset100
from examples.common.networks.vgg.warmup_step_lr import warmup_step_lr
from examples.common.networks.vgg.warmup_cosine_annealing_lr import warmup_cosine_annealing_lr
from examples.common.networks.vgg.warmup_step_lr import lr_steps
from examples.common.networks.vgg.utils.util import get_param_groups
from examples.common.networks.vgg.vgg import vgg16
from examples.common.networks.vgg.config import cifar_cfg as cfg
TAG = "train"
random.seed(1)
np.random.seed(1)
def parse_args(cloud_args=None):
"""parameters"""
parser = argparse.ArgumentParser('mindspore classification training')
parser.add_argument('--device_target', type=str, default='Ascend', choices=['Ascend', 'GPU'],
help='device where the code will be implemented. (Default: Ascend)')
parser.add_argument('--device_id', type=int, default=1, help='device id of GPU or Ascend. (Default: None)')
# dataset related
parser.add_argument('--data_path', type=str, default='', help='train data dir')
# network related
parser.add_argument('--pre_trained', default='', type=str, help='model_path, local pretrained model to load')
parser.add_argument('--lr_gamma', type=float, default=0.1,
help='decrease lr by a factor of exponential lr_scheduler')
parser.add_argument('--eta_min', type=float, default=0., help='eta_min in cosine_annealing scheduler')
parser.add_argument('--T_max', type=int, default=150, help='T-max in cosine_annealing scheduler')
# logging and checkpoint related
parser.add_argument('--log_interval', type=int, default=100, help='logging interval')
parser.add_argument('--ckpt_path', type=str, default='outputs/', help='checkpoint save location')
parser.add_argument('--ckpt_interval', type=int, default=2, help='ckpt_interval')
parser.add_argument('--is_save_on_master', type=int, default=1, help='save ckpt on master or all rank')
args_opt = parser.parse_args()
args_opt = merge_args(args_opt, cloud_args)
args_opt.rank = 0
args_opt.group_size = 1
args_opt.label_smooth = cfg.label_smooth
args_opt.label_smooth_factor = cfg.label_smooth_factor
args_opt.lr_scheduler = cfg.lr_scheduler
args_opt.loss_scale = cfg.loss_scale
args_opt.max_epoch = cfg.max_epoch
args_opt.warmup_epochs = cfg.warmup_epochs
args_opt.lr = cfg.lr
args_opt.lr_init = cfg.lr_init
args_opt.lr_max = cfg.lr_max
args_opt.momentum = cfg.momentum
args_opt.weight_decay = cfg.weight_decay
args_opt.per_batch_size = cfg.batch_size
args_opt.num_classes = cfg.num_classes
args_opt.buffer_size = cfg.buffer_size
args_opt.ckpt_save_max = cfg.keep_checkpoint_max
args_opt.pad_mode = cfg.pad_mode
args_opt.padding = cfg.padding
args_opt.has_bias = cfg.has_bias
args_opt.batch_norm = cfg.batch_norm
args_opt.initialize_mode = cfg.initialize_mode
args_opt.has_dropout = cfg.has_dropout
args_opt.lr_epochs = list(map(int, cfg.lr_epochs.split(',')))
args_opt.image_size = list(map(int, cfg.image_size.split(',')))
return args_opt
def merge_args(args_opt, cloud_args):
"""dictionary"""
args_dict = vars(args_opt)
if isinstance(cloud_args, dict):
for key_arg in cloud_args.keys():
val = cloud_args[key_arg]
if key_arg in args_dict and val:
arg_type = type(args_dict[key_arg])
if arg_type is not None:
val = arg_type(val)
args_dict[key_arg] = val
return args_opt
if __name__ == '__main__':
args = parse_args()
device_num = int(os.environ.get("DEVICE_NUM", 1))
context.set_context(device_id=args.device_id)
context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target)
# select for master rank save ckpt or all rank save, compatiable for model parallel
args.rank_save_ckpt_flag = 0
if args.is_save_on_master:
if args.rank == 0:
args.rank_save_ckpt_flag = 1
else:
args.rank_save_ckpt_flag = 1
# logger
args.outputs_dir = os.path.join(args.ckpt_path,
datetime.datetime.now().strftime('%Y-%m-%d_time_%H_%M_%S'))
args.logger = LogUtil.get_instance()
args.logger.set_level(20)
# load train data set
dataset = vgg_create_dataset100(args.data_path, args.image_size, args.per_batch_size, args.rank, args.group_size)
batch_num = dataset.get_dataset_size()
args.steps_per_epoch = dataset.get_dataset_size()
# network
args.logger.info(TAG, 'start create network')
# get network and init
network = vgg16(args.num_classes, args)
# pre_trained
if args.pre_trained:
load_param_into_net(network, load_checkpoint(args.pre_trained))
# lr scheduler
if args.lr_scheduler == 'exponential':
lr = warmup_step_lr(args.lr,
args.lr_epochs,
args.steps_per_epoch,
args.warmup_epochs,
args.max_epoch,
gamma=args.lr_gamma,
)
elif args.lr_scheduler == 'cosine_annealing':
lr = warmup_cosine_annealing_lr(args.lr,
args.steps_per_epoch,
args.warmup_epochs,
args.max_epoch,
args.T_max,
args.eta_min)
elif args.lr_scheduler == 'step':
lr = lr_steps(0, lr_init=args.lr_init, lr_max=args.lr_max, warmup_epochs=args.warmup_epochs,
total_epochs=args.max_epoch, steps_per_epoch=batch_num)
else:
raise NotImplementedError(args.lr_scheduler)
# optimizer
opt = Momentum(params=get_param_groups(network),
learning_rate=Tensor(lr),
momentum=args.momentum,
weight_decay=args.weight_decay,
loss_scale=args.loss_scale)
loss = nn.SoftmaxCrossEntropyWithLogits(sparse=True, reduction='mean')
model = Model(network, loss_fn=loss, optimizer=opt, metrics={'acc'},
amp_level="O2", keep_batchnorm_fp32=False, loss_scale_manager=None)
# checkpoint save
callbacks = [LossMonitor()]
if args.rank_save_ckpt_flag:
ckpt_config = CheckpointConfig(save_checkpoint_steps=args.ckpt_interval*args.steps_per_epoch,
keep_checkpoint_max=args.ckpt_save_max)
ckpt_cb = ModelCheckpoint(config=ckpt_config,
directory=args.outputs_dir,
prefix='{}'.format(args.rank))
callbacks.append(ckpt_cb)
model.train(args.max_epoch, dataset, callbacks=callbacks)
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] | 2.303944 | 3,550 |
from armada_command import armada_api
| [
6738,
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Main Controller
Created on Tue Aug 17 14:16:44 2021
Version: 1.0
Universidad Santo Tomás Tunja
Simulation
@author: Juana Valentina Mendoza Santamaría
@author: Alix Ivonne Chaparro Vasquez
presented to: Martha Susana Contreras Ortiz
"""
from random import randint
import time
from controllers.settings import config
from models.atms import ATMs
from models.clients import Clients
from models.accounts import Accounts
from models.cards import Cards
from models.transactions import Transactions
from models.record import Record
from views.mainView import mainView, insertCardView, insertCardDeepelyView, insertCardCompletelyView
from views.mainView import mainMenuView
from controllers.bankController import createBank
from controllers.balanceController import balanceController
from controllers.withdrawController import withdrawController
from controllers.depositController import depositController
from controllers.statsController import stats
from controllers.reportController import stage, showTransactionData
from controllers.plotController import resultPlots
__author__ = ["Juana Valentina Mendoza Santamaría", "Alix Ivonne Chaparro Vasquez"]
__copyright__ = "Copyright 2021, Universidad Santo Tomás Tunja"
__credits__ = ["Martha Susana Contreras Ortiz"]
__license__ = "GPL"
__version__ = "1.0.1"
__maintainer__= ["Juana Valentina Mendoza Santamaría", "Alix Ivonne Chaparro Vasquez"]
__email__ = ["[email protected]", "[email protected]"]
__status__ = "Develpment"
#%%
def previousScreens():
"""
Project the screens
"""
mainView()
time.sleep(2)
insertCardView()
time.sleep(2)
insertCardDeepelyView()
time.sleep(2)
insertCardCompletelyView()
time.sleep(2)
#%%
def initialize(simulation):
"""Initializing variables
Args:
simulation (boolean): True (simulation) - False (Demo)
"""
global maxSimulationTime
global minWithdrawAccount, maxWithdrawAccount
global minDepositAccount, maxDepositAccount
global minBill
global record
maxATMs = config.PARAMETERS['maxATMs']
minATMCash = config.PARAMETERS['minATMCash']
maxATMCash = config.PARAMETERS['maxATMCash']
minBill = config.PARAMETERS['minBill']
maxClients = config.PARAMETERS['maxClients']
maxAccounts = config.PARAMETERS['maxAccounts']
maxAccountBalance = config.PARAMETERS['maxAccountBalance']
maxCards = config.PARAMETERS['maxCards']
minWithdrawAccount = config.PARAMETERS['minWithdrawAccount']
maxWithdrawAccount = config.PARAMETERS['maxWithdrawAccount']
minDepositAccount = config.PARAMETERS['minDepositAccount']
maxDepositAccount = config.PARAMETERS['maxDepositAccount']
maxTransactions = config.PARAMETERS['maxTransactions']
maxSimulationTime = config.PARAMETERS['maxSimulationTime']
global bank, atms
global clients, accounts, cards
global transactions
bank = createBank()
atms = ATMs(
bank, maxATMs, minATMCash, maxATMCash, minBill
)
if simulation: # Simulation
atms.createRandomATMs()
else: # Controlled demo
atms.createATMs()
clients = Clients(maxClients)
if simulation:
clients.createRandomClients()
else:
clients.createClients()
accounts = Accounts(
clients.clients[0],
maxAccounts,
maxAccountBalance,
minBill
)
if simulation:
for client in clients.clients:
oldList = accounts.accounts
accounts.client = client
accounts.createRandomAccounts()
newList = accounts.accounts
accounts.accounts = oldList + newList
else:
accounts.createAccounts()
cards = Cards(accounts.accounts[0], maxCards)
if simulation:
for account in accounts.accounts:
oldList = cards.cards
cards.account = account
cards.createRandomCards()
newList = cards.cards
cards.cards = oldList + newList
else:
cards.createCards()
transactions = Transactions(
atms,
cards,
minWithdrawAccount,
maxWithdrawAccount,
minDepositAccount,
maxDepositAccount,
minBill,
maxTransactions
)
record = Record()
#%%
def getOption(simulation):
"""Select the type of transaction to be made.
Args:
simulation (boolean): demo or simulation.
"""
global record
loop = 0
option = 0
while option != -1: # Finish
atm = atms.randomSelectedATM()
client = clients.randomSelectedClient()
account = accounts.randomSelectedAccount(client)
card = cards.randomSelectedCard(account)
loop += 1
if not simulation:
mainMenuView() # Balance, Withdraw, Deposit, Consult Trasactions
while option not in [-1, 1, 2, 3, 99]:
option = int(input('-> '))
else:
if loop >= maxSimulationTime:
option = -1 # End of simulation
else:
option = randint(1, 3)
if option == 1: # Balance
option, transaction = balanceController(atm, card, simulation)
transactions.add(transaction)
elif option == 2: # Withdraw
option, transaction = withdrawController(
atm,
card,
simulation,
minWithdrawAccount,
maxWithdrawAccount,
minBill
)
transactions.add(transaction)
if transaction.transactionStatus == 'Successful':
atm.atmCash -= transaction.transactionAmount
card.cardAccount.accountBalance -= transaction.transactionAmount
elif option == 3: # Deposit
option, transaction = depositController(
atm,
card,
simulation,
minDepositAccount,
maxDepositAccount,
minBill
)
transactions.add(transaction)
if transaction.transactionStatus == 'Successful':
atm.atmCash += transaction.transactionAmount
card.cardAccount.accountBalance += transaction.transactionAmount
elif option == 99:
print(transactions)
option = input("Press Enter to continue...")
if option != -1:
option = -1 if option == 2 else 0 # option = 2 (finish)
if simulation:
showTransactionData(loop, transaction, bank, atms, accounts)
record.recordTransaction(loop, transaction)
#%%
def mainController(simulation):
"""Start of application
Args:
simulation (boolean): demo or simulation.
"""
global bank, atms, accounts
global record
initialize(simulation)
if not simulation:
previousScreens()
stage(bank, atms, accounts)
getOption(simulation)
stats(record)
resultPlots(record)
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] | 2.383633 | 3,055 |
from enum import IntEnum
from .responses import *
from .signatures import *
from .transactions import *
| [
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] | 3.655172 | 29 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Author: penghuailiang
# @Date : 1/1/20
"""
此脚本使用scipy.special绘制球谐函数
"""
import numpy as np
import matplotlib.pyplot as plt
from scipy.special import sph_harm
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
theta_1d = np.linspace(0, np.pi, 181) # colatitude
phi_1d = np.linspace(0, 2 * np.pi, 361) # longitude
theta_2d, phi_2d = np.meshgrid(theta_1d, phi_1d)
xyz_2d = np.array([np.sin(theta_2d) * np.sin(phi_2d), np.sin(theta_2d) * np.cos(phi_2d), np.cos(theta_2d)])
colormap = cm.ScalarMappable(cmap=plt.get_cmap("cool"))
colormap.set_clim(-0.45, 0.45)
limit = 0.5
show_Y_lm(2, 0)
show_Y_lm(3, 3)
show_Y_lm(4, 2)
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] | 1.87027 | 370 |
# Generated by Django 3.2.7 on 2021-11-23 11:44
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
513,
13,
17,
13,
22,
319,
33448,
12,
1157,
12,
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198,
6738,
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13,
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11,
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628
] | 2.84375 | 32 |
test = {
'name': 'composed',
'points': 1,
'suites': [
{
'cases': [
{
'code': r"""
scm> ((composed add-one add-one) 2)
a1e11865670a42d05e20b9a3455dc457
# locked
""",
'hidden': False,
'locked': True
},
{
'code': r"""
scm> ((composed multiply-by-two multiply-by-two) 2)
2bfcd627609c82ebd017c2edfad00c89
# locked
""",
'hidden': False,
'locked': True
},
{
'code': r"""
scm> ((composed add-one multiply-by-two) 2)
8d3d95b1350833ea7b81c9454d1af611
# locked
""",
'hidden': False,
'locked': True
},
{
'code': r"""
scm> ((composed multiply-by-two add-one) 2)
aae76aca9259a704209b44193fad5f6a
# locked
""",
'hidden': False,
'locked': True
},
{
'code': r"""
scm> ((composed (composed add-one add-one) add-one) 2)
8d3d95b1350833ea7b81c9454d1af611
# locked
""",
'hidden': False,
'locked': True
},
{
'code': r"""
scm> ((composed (composed add-one add-one) multiply-by-two) 2)
aae76aca9259a704209b44193fad5f6a
# locked
""",
'hidden': False,
'locked': True
},
{
'code': r"""
scm> ((composed multiply-by-two (composed add-one add-one)) 2)
2bfcd627609c82ebd017c2edfad00c89
# locked
""",
'hidden': False,
'locked': True
}
],
'scored': False,
'setup': r"""
scm> (load-all ".")
scm> (define (add-one a) (+ a 1))
scm> (define (multiply-by-two a) (* a 2))
""",
'teardown': '',
'type': 'scheme'
}
]
}
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] | 1.643398 | 1,189 |
import sys
import genotypes
from graphviz import Digraph
from genotypes import PRIMITIVES
if __name__ == '__main__':
if len(sys.argv) != 2:
print("usage:\n python {} ARCH_NAME".format(sys.argv[0]))
sys.exit(1)
genotype_name = sys.argv[1]
try:
genotype = eval('genotypes.{}'.format(genotype_name))
except AttributeError:
print("{} is not specified in genotypes.py".format(genotype_name))
sys.exit(1)
plot(genotype.normal, "normal_"+str(sys.argv[1]))
plot(genotype.reduce, "reduction_"+str(sys.argv[1]))
#plot_space(P['primitives_normal'], "space_normal")
#plot_space(P['primitives_reduct'], "space_reduction")
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445,
7234,
11,
366,
445,
8110,
62,
1,
10,
2536,
7,
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13,
853,
85,
58,
16,
60,
4008,
198,
220,
1303,
29487,
62,
13200,
7,
47,
17816,
19795,
20288,
62,
11265,
6,
4357,
366,
13200,
62,
11265,
4943,
198,
220,
1303,
29487,
62,
13200,
7,
47,
17816,
19795,
20288,
62,
445,
4782,
6,
4357,
366,
13200,
62,
445,
8110,
4943,
628
] | 2.517375 | 259 |
from meridien.settings.base import *
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '8ka@=25ffr7377i_s*$$6n_=sepb1jpwhrbbgviphal7q=(3zz'
# Database
# https://docs.djangoproject.com/en/3.0/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql',
'NAME': 'postgres',
'USER': 'postgres',
'PASSWORD': 'sooperuser',
'HOST': '127.0.0.1',
'PORT': '5432',
}
}
# CORS settings
CORS_ORIGIN_ALLOW_ALL = False
CORS_ORIGIN_WHITELIST = (
'http://localhost:4200',
'http://127.0.0.1:4200',
)
# Email settings
EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend'
# Communication settings
FRONT_END_DOMAIN = 'http://localhost:4200' | [
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796,
705,
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6
] | 2.277628 | 371 |
"""
Problem Description:
Cody has a sequence of characters N. He likes a sequence if it contains his favourite sequence as a substring.
Given the sequence and his favourite sequence F, check whether the favourite sequence is present in the sequence.
Input:
The first line of input contains a single line T, which represents the number of test cases.
Each test case consists of 2 strings separated by space N and F respectively.
Output:
Print "Yes" if the sequence contains the favorite sequence in it, otherwise print "No".
Constraints:
1<=T<=10.
1<=|N|,|F|<=100.
All the characters are lowercase alphabets.
Sample Input:
2
abcde abc
pqrst pr
Sample Output:
Yes
No
"""
n = int(input())
for i in range(n):
a = input().split()
if a[1] in a[0]:
print("Yes")
else:
print("No")
| [
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] | 3.140078 | 257 |
# -*- coding: utf-8 -*-
import sys
from typing import List
import requests
from alibabacloud_slb20140515.client import Client as Slb20140515Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_slb20140515 import models as slb_20140515_models
if __name__ == '__main__':
Sample.main(['<accessKeyId>', '<accessSecret>', '<region>', 'acl-id']) | [
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] | 2.735714 | 140 |
# all the imports
import psycopg2
import nltk
from robovest.portfolio import*
#nltk.download()
import tweepy
import os
import sqlite3
import datetime
import numpy as np
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from flask import Flask, request, session, g, redirect, url_for, abort, \
render_template, flash
app = Flask(__name__) # create the application instance :)
app.config.from_object(__name__) # load config from this file , flaskr.py
tickers = ["MINT","EMB","IAU","VCIT","MUB","SCHA","VEA","VYM","SCHH","VWO","FENY","VTIP","VGLT","ITE"]
Twitter_Average=.0091
Twitter_STD=.154
consumer_key = os.environ["TWITTER_API_KEY"]
consumer_secret = os.environ["TWITTER_API_SECRET"]
access_token = os.environ["TWITTER_ACCESS_TOKEN"]
access_token_secret = os.environ["TWITTER_ACCESS_TOKEN_SECRET"]
# AUTHENTICATE
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
# INITIALIZE API CLIENT
api = tweepy.API(auth)
startDate = datetime.datetime(2017, 7, 1, 0, 0, 0)
endDate = datetime.datetime(2017, 8, 4, 0, 0, 0)
# Load default config and override config from an environment variable
app.config.update(dict(
DATABASE=os.path.join(app.root_path, 'robovest.db'),
SECRET_KEY='development key',
USERNAME='robo',
PASSWORD='vest'
))
app.config.from_envvar('ROBOVEST_SETTINGS', silent=True)
def connect_db():
"""Connects to the specific database."""
rv = sqlite3.connect(app.config['DATABASE'])
rv.row_factory = sqlite3.Row
return rv
def get_db():
"""Opens a new database connection if there is none yet for the
current application context.
"""
if not hasattr(g, 'sqlite_db'):
g.sqlite_db = connect_db()
return g.sqlite_db
# def portfolio_recommendation(score):
# weights_bl, return_bl, risk_bl = portfolio(score)
# return weights_bl, return_bl, risk_bl
@app.route('/add', methods=['POST'])
@app.route('/index', methods=['GET','POST'])
@app.route('/')
@app.cli.command('initdb')
def initdb_command():
"""Initializes the database."""
init_db()
print('Initialized the database.')
@app.teardown_appcontext
def close_db(error):
"""Closes the database again at the end of the request."""
if hasattr(g, 'sqlite_db'):
g.sqlite_db.close()
@app.route('/login', methods=['GET', 'POST'])
@app.route('/logout')
| [
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62,
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31,
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14,
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3256,
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28,
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6,
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198,
198,
31,
1324,
13,
38629,
10786,
14,
6404,
448,
11537,
198
] | 2.623904 | 912 |
import concurrent.futures
import functools
import logging
from dataclasses import dataclass
from typing import Union, cast
from datahub.cli.cli_utils import set_env_variables_override_config
from datahub.configuration.common import OperationalError
from datahub.emitter.mcp import MetadataChangeProposalWrapper
from datahub.emitter.rest_emitter import DatahubRestEmitter
from datahub.ingestion.api.common import PipelineContext, RecordEnvelope, WorkUnit
from datahub.ingestion.api.sink import Sink, SinkReport, WriteCallback
from datahub.ingestion.api.workunit import MetadataWorkUnit
from datahub.ingestion.graph.client import DatahubClientConfig
from datahub.metadata.com.linkedin.pegasus2avro.mxe import (
MetadataChangeEvent,
MetadataChangeProposal,
)
from datahub.metadata.com.linkedin.pegasus2avro.usage import UsageAggregation
from datahub.utilities.server_config_util import set_gms_config
logger = logging.getLogger(__name__)
@dataclass
@dataclass
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62,
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628,
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] | 3.125402 | 311 |
default_app_config = 'kv_settings.apps.KeyValueSettingsConfig'
| [
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] | 3.15 | 20 |
# -*- coding: UTF-8 -*-
# Note: this is mainly required because using the Django test runner
# requires that apps under test have a 'models' module, even if it's
# just empty.
from flows import config
if config.FLOWS_STATE_STORE == 'flows.statestore.django_store':
from flows.statestore.django_store import StateModel #@UnusedImport only used to registed with django ORM | [
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] | 3.336283 | 113 |
# coding=utf-8
"""
使用multiprocessing模块创建多进程
"""
import os
from multiprocessing import Process
# 子进程要执行的代码
if __name__ == '__main__':
print('Parent process %s.'% os.getpid())
for i in range(5):
p = Process(target=run_proc,args=(str(i),))
print('Process will start.')
p.start()
p.join()
print('Process will end.') | [
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220,
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481,
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8
] | 1.950276 | 181 |
from django.shortcuts import render
import time
import datetime
from server import models
# Create your views here.
| [
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] | 3.787879 | 33 |
import typing
import torch
import torchtraining as tt
import torchvision
| [
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] | 4.166667 | 18 |
from setuptools import setup
setup(
name="Pygments Snowball Plugin",
version = "1.0",
scripts = ['pygments_snowball.py'],
entry_points = """
[pygments.lexers]
snowball_lexer = pygments_snowball:SnowballLexer
""",
description = 'Pygments Lexer Plugin for Snowball',
license = 'BSD 2-Clause License',
author = 'Hajime Senuma',
author_email = '[email protected]',
)
| [
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31,
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13,
785,
3256,
198,
8,
220,
220,
220,
220,
198
] | 2.456647 | 173 |
# -*- coding: utf-8 -*-
########### SVN repository information ###################
# $Date: 2017-10-23 11:39:16 -0500 (Mon, 23 Oct 2017) $
# $Author: vondreele $
# $Revision: 3136 $
# $URL: https://subversion.xray.aps.anl.gov/pyGSAS/trunk/imports/G2img_Rigaku.py $
# $Id: G2img_Rigaku.py 3136 2017-10-23 16:39:16Z vondreele $
########### SVN repository information ###################
'''
*Module G2img_Rigaku: .stl image file*
--------------------------------------
'''
from __future__ import division, print_function
import os
import GSASIIobj as G2obj
import GSASIIpath
import numpy as np
GSASIIpath.SetVersionNumber("$Revision: 3136 $")
class Rigaku_ReaderClass(G2obj.ImportImage):
'''Routine to read a Rigaku R-Axis IV image file.
'''
def ContentsValidator(self, filename):
'''Test by checking if the file size makes sense.
'''
fileSize = os.stat(filename).st_size
Npix = (fileSize-6000)/2
if Npix == 9000000 or Npix == 2250000 or Npix == 36000000:
return True
return False # not valid size
def GetRigaku(filename,imageOnly=False):
'Read Rigaku R-Axis IV image file'
import array as ar
if not imageOnly:
print ('Read Rigaku R-Axis IV file: '+filename)
File = open(filename,'rb')
fileSize = os.stat(filename).st_size
Npix = (fileSize-6000)/2
File.read(6000)
head = ['Rigaku R-Axis IV detector data',]
image = np.array(ar.array('H',File.read(fileSize-6000)),dtype=np.int32)
print ('%s %s'%(fileSize,str(image.shape)))
print (head)
if Npix == 9000000:
sizexy = [3000,3000]
pixSize = [100.,100.]
elif Npix == 2250000:
sizexy = [1500,1500]
pixSize = [200.,200.]
else:
sizexy = [6000,6000]
pixSize = [50.,50.]
image = np.reshape(image,(sizexy[1],sizexy[0]))
data = {'pixelSize':pixSize,'wavelength':1.5428,'distance':250.0,'center':[150.,150.],'size':sizexy}
File.close()
if imageOnly:
return image
else:
return head,data,Npix,image
| [
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] | 2.278564 | 919 |
"""
Your chance to explore Loops and Turtles!
Authors: David Mutchler, Vibha Alangar, Matt Boutell, Dave Fisher,
Aaron Wilkin, their colleagues, and Shixin Yan.
"""
########################################################################
# DONE: 1.
# On Line 5 above, replace PUT_YOUR_NAME_HERE with your own name.
########################################################################
########################################################################
# TODO: 2.
# You should have RUN the m5e_loopy_turtles module and READ its code.
# (Do so now if you have not already done so.)
#
# Below this comment, add ANY CODE THAT YOU WANT, as long as:
# 1. You construct at least 2 rg.SimpleTurtle objects.
# 2. Each rg.SimpleTurtle object draws something
# (by moving, using its rg.Pen). ANYTHING is fine!
# 3. Each rg.SimpleTurtle moves inside a LOOP.
#
# Be creative! Strive for way-cool pictures! Abstract pictures rule!
#
# If you make syntax (notational) errors, no worries -- get help
# fixing them at either this session OR at the NEXT session.
#
# Don't forget to COMMIT-and-PUSH when you are done with this module.
#
########################################################################
import rosegraphics as rg
window = rg.TurtleWindow()
flash = rg.SimpleTurtle('turtle')
flash.pen = rg.Pen('yellow', 3)
zoom = rg.SimpleTurtle('turtle')
zoom.pen = rg.Pen('black', 3)
flash.speed = 50
zoom.speed = 50
size = 70
for k in range(18):
flash.draw_square(size)
zoom.draw_circle(size)
flash.pen_down()
flash.right(20)
flash.forward(30)
zoom.pen_down()
zoom.left(20)
zoom.backward(30)
window.tracer(20)
damage = rg.SimpleTurtle('triangle')
damage.pen = rg.Pen('dark blue',1)
damage.backward(30)
for k in range(1000):
damage.right(50)
damage.forward(2*k)
window.close_on_mouse_click()
| [
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] | 3.066558 | 616 |
# Part of the Fluid Corpus Manipulation Project (http://www.flucoma.org/)
# Copyright 2017-2019 University of Huddersfield.
# Licensed under the BSD-3 License.
# See license.md file in the project root for full license information.
# This project has received funding from the European Research Council (ERC)
# under the European Union’s Horizon 2020 research and innovation programme
# (grant agreement No 725899).
import argparse
from pathlib import Path
from FluidRefData import *
import json
import locale
"""
Set default locale, in case it hasn't been, otherwise we can't read text
"""
locale.setlocale(locale.LC_ALL,'')
parser = argparse.ArgumentParser(
description='Generate FluCoMa documentation for a given host, using input JSON and YAML data and a jinja template')
parser.add_argument('host', choices=['max','pd','cli'])
parser.add_argument('json_path', type=Path,
help='Path to generated JSON client data')
parser.add_argument('yaml_path', type=Path,
help='Path to human made YAML client documentation')
parser.add_argument('output_path', type=Path,
help='Path to write output files to')
parser.add_argument('template_path', type=Path,
help='Path containing Jinja template(s)')
args = parser.parse_args()
clients = list(args.json_path.glob(host_vars[args.host]['glob']))
args.output_path.mkdir(exist_ok=True)
print('OUTPUT PATH {}'.format(args.output_path))
index = {}
for c in clients:
d = process_client_data(c, args.yaml_path)
index[c] = process_template(args.template_path, args.output_path, d, host_vars[args.host])
index_path = args.output_path / '../interfaces'
index_path.mkdir(exist_ok=True)
write_max_indices(index,index_path)
topics = list(Path('/Users/owen/flucoma_paramdump/topics').glob('*.yaml'))
for t in topics:
process_topic(t,args.template_path,args.output_path,host_vars[args.host])
# print(topics)
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] | 2.821068 | 693 |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2016-11-11 23:24
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
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""" Linker utility. """
import logging
from collections import defaultdict
from .objectfile import ObjectFile, Image, get_object, RelocationEntry
from ..common import CompilerError
from .layout import Layout, Section, SectionData, SymbolDefinition, Align
from .layout import get_layout
from .debuginfo import SymbolIdAdjustingReplicator, DebugInfo
from .archive import get_archive
def link(
objects,
layout=None,
use_runtime=False,
partial_link=False,
reporter=None,
debug=False,
extra_symbols=None,
libraries=None,
entry=None,
):
""" Links the iterable of objects into one using the given layout.
Args:
objects: a collection of objects to be linked together.
layout: optional memory layout.
use_runtime (bool): also link compiler runtime functions
partial_link: Set this to true if you want to perform a partial link.
This means, undefined symbols are no error.
debug (bool): when true, keep debug information. Otherwise remove
this debug information from the result.
extra_symbols: a dict of extra symbols which can be used during
linking.
libraries: a list of libraries to use when searching for symbols.
entry: the entry symbol where execution should begin.
Returns:
The linked object file
.. doctest::
>>> import io
>>> from ppci.api import asm, c3c, link
>>> asm_source = io.StringIO("db 0x77")
>>> obj1 = asm(asm_source, 'arm')
>>> c3_source = io.StringIO("module main; var int a;")
>>> obj2 = c3c([c3_source], [], 'arm')
>>> obj = link([obj1, obj2])
>>> print(obj)
CodeObject of 8 bytes
"""
objects = list(map(get_object, objects))
if not objects:
raise ValueError("Please provide at least one object as input")
if layout:
layout = get_layout(layout)
march = objects[0].arch
if use_runtime:
objects.append(march.runtime)
libraries = list(map(get_archive, libraries)) if libraries else []
linker = Linker(march, reporter)
output_obj = linker.link(
objects,
layout=layout,
partial_link=partial_link,
debug=debug,
extra_symbols=extra_symbols,
libraries=libraries,
entry_symbol_name=entry,
)
return output_obj
class Linker:
""" Merges the sections of several object files and
performs relocation """
logger = logging.getLogger("linker")
def link(
self,
input_objects,
layout=None,
partial_link=False,
debug=False,
extra_symbols=None,
libraries=None,
entry_symbol_name=None,
):
""" Link together the given object files using the layout """
assert isinstance(input_objects, (list, tuple))
if self.reporter:
self.reporter.heading(2, "Linking")
# Check all incoming objects for same architecture:
for input_object in input_objects:
assert input_object.arch == self.arch
# Create new object file to store output:
self.dst = ObjectFile(self.arch)
if debug:
self.dst.debug_info = DebugInfo()
# Take entry symbol from layout if not specified alreay:
if not entry_symbol_name and layout and layout.entry:
# TODO: what to do if two symbols are defined?
# for now the symbol given via command line overrides
# the entry in the linker script.
entry_symbol_name = layout.entry.symbol_name
# Define entry symbol:
if entry_symbol_name:
self.dst.entry_symbol_id = self.inject_symbol(
entry_symbol_name, "global", None, None
).id
# Define extra symbols:
extra_symbols = extra_symbols or {}
for symbol_name, value in extra_symbols.items():
self.logger.debug("Defining extra symbol %s", symbol_name)
self.inject_symbol(symbol_name, "global", None, value)
# First merge all sections into output sections:
self.merge_objects(input_objects, debug)
if partial_link:
if layout:
# Layout makes only sense in the final binary.
raise ValueError("Can only apply layout in non-partial links")
else:
if libraries:
# Find missing symbols in libraries:
self.add_missing_symbols_from_libraries(libraries)
# Apply layout rules:
if layout:
assert isinstance(layout, Layout)
self.layout_sections(layout)
self.check_undefined_symbols()
self.do_relaxations()
self.do_relocations()
if self.reporter:
self.report_link_result()
return self.dst
def report_link_result(self):
""" After linking is complete, this function can be used to dump
information to a reporter.
"""
for section in self.dst.sections:
self.reporter.message("{} at {}".format(section, section.address))
for image in self.dst.images:
self.reporter.message("{} at {}".format(image, image.address))
symbols = [
(s, self.dst.get_symbol_id_value(s.id) if s.defined else -1)
for s in self.dst.symbols
]
symbols.sort(key=lambda x: x[1])
for symbol, address in symbols:
self.reporter.message(
"Symbol {} {} at 0x{:X}".format(
symbol.binding, symbol.name, address
)
)
self.reporter.message("Linking complete")
def merge_objects(self, input_objects, debug):
""" Merge object files into a single object file """
for input_object in input_objects:
self.inject_object(input_object, debug)
def inject_object(self, obj, debug):
""" Paste object into destination object. """
self.logger.debug("Merging %s", obj)
section_offsets = {}
for input_section in obj.sections:
# Get or create the output section:
output_section = self.dst.get_section(
input_section.name, create=True
)
# Alter the minimum section alignment if required:
if input_section.alignment > output_section.alignment:
output_section.alignment = input_section.alignment
# Align section:
while output_section.size % input_section.alignment != 0:
self.logger.debug("Padding output to ensure alignment")
output_section.add_data(bytes([0]))
# Add new section:
offset = output_section.size
section_offsets[input_section.name] = offset
output_section.add_data(input_section.data)
self.logger.debug(
"at offset 0x%x section %s",
section_offsets[input_section.name],
input_section,
)
symbol_id_mapping = {}
for symbol in obj.symbols:
# Shift symbol value if required:
if symbol.defined:
value = section_offsets[symbol.section] + symbol.value
section = symbol.section
else:
value = section = None
if symbol.binding == "global":
new_symbol = self.merge_global_symbol(
symbol.name, section, value
)
else:
new_symbol = self.inject_symbol(
symbol.name, symbol.binding, section, value
)
symbol_id_mapping[symbol.id] = new_symbol.id
for reloc in obj.relocations:
offset = section_offsets[reloc.section] + reloc.offset
symbol_id = symbol_id_mapping[reloc.symbol_id]
new_reloc = RelocationEntry(
reloc.reloc_type,
symbol_id,
reloc.section,
offset,
reloc.addend,
)
self.dst.add_relocation(new_reloc)
# Merge entry symbol:
if obj.entry_symbol_id is not None:
if self.dst.entry_symbol_id is None:
self.dst.entry_symbol_id = symbol_id_mapping[
obj.entry_symbol_id
]
else:
# TODO: improve error message?
raise CompilerError("Multiple entry points defined")
# Merge debug info:
if debug and obj.debug_info:
replicator = SymbolIdAdjustingReplicator(symbol_id_mapping)
replicator.replicate(obj.debug_info, self.dst.debug_info)
def merge_global_symbol(self, name, section, value):
""" Insert or merge a global name. """
if self.dst.has_symbol(name):
new_symbol = self.dst.get_symbol(name)
assert new_symbol.binding == "global"
if value is not None: # we define this symbol.
# We require merging.
if new_symbol.undefined:
new_symbol.value = value
new_symbol.section = section
else:
# TODO: accumulate errors..
raise CompilerError(
"Multiple defined symbol: {}".format(name)
)
else:
new_symbol = self.inject_symbol(name, "global", section, value)
return new_symbol
def inject_symbol(self, name, binding, section, value):
""" Generate new symbol into object file. """
symbol_id = len(self.dst.symbols)
new_symbol = self.dst.add_symbol(
symbol_id, name, binding, value, section
)
return new_symbol
def layout_sections(self, layout):
""" Use the given layout to place sections into memories """
# Create sections with address:
for mem in layout.memories:
image = Image(mem.name, mem.location)
current_address = mem.location
for memory_input in mem.inputs:
if isinstance(memory_input, Section):
section = self.dst.get_section(
memory_input.section_name, create=True
)
while current_address % section.alignment != 0:
current_address += 1
section.address = current_address
self.logger.debug(
"Memory: %s Section: %s Address: 0x%x Size: 0x%x",
mem.name,
section.name,
section.address,
section.size,
)
current_address += section.size
image.add_section(section)
elif isinstance(memory_input, SectionData):
section_name = "_${}_".format(memory_input.section_name)
# Each section must be unique:
assert not self.dst.has_section(section_name)
section = self.dst.get_section(section_name, create=True)
section.address = current_address
section.alignment = 1 # TODO: is this correct alignment?
src_section = self.dst.get_section(
memory_input.section_name
)
section.add_data(src_section.data)
current_address += section.size
image.add_section(section)
elif isinstance(memory_input, SymbolDefinition):
# Create a new section, and place it at current spot:
symbol_name = memory_input.symbol_name
section_name = "_${}_".format(symbol_name)
# Each section must be unique:
assert not self.dst.has_section(section_name)
section = self.dst.get_section(section_name, create=True)
section.address = current_address
section.alignment = 1
self.merge_global_symbol(symbol_name, section_name, 0)
image.add_section(section)
elif isinstance(memory_input, Align):
while (current_address % memory_input.alignment) != 0:
current_address += 1
else: # pragma: no cover
raise NotImplementedError(str(memory_input))
# Check that the memory fits!
if image.size > mem.size:
raise CompilerError(
"Memory exceeds size ({} > {})".format(
image.size, mem.size
)
)
self.dst.add_image(image)
def get_symbol_value(self, symbol_id):
""" Get value of a symbol from object or fallback """
# Lookup symbol:
return self.dst.get_symbol_id_value(symbol_id)
# raise CompilerError('Undefined reference "{}"'.format(name))
def add_missing_symbols_from_libraries(self, libraries):
""" Try to fetch extra code from libraries to resolve symbols.
Note that this can be a rabbit hole, since libraries can have undefined
symbols as well.
"""
undefined_symbols = self.get_undefined_symbols()
if not undefined_symbols:
self.logger.debug(
"No undefined symbols, no need to check libraries"
)
return
# Keep adding objects while we have undefined symbols.
reloop = True
while reloop:
reloop = False
for library in libraries:
self.logger.debug("scanning library for symbols %s", library)
for obj in library:
has_sym = any(map(obj.has_symbol, undefined_symbols))
if has_sym:
self.logger.debug(
"Using object file %s from library", obj
)
self.inject_object(obj, False)
undefined_symbols = self.get_undefined_symbols()
reloop = True
def get_undefined_symbols(self):
""" Get a list of currently undefined symbols.
"""
return self.dst.get_undefined_symbols()
def check_undefined_symbols(self):
""" Find undefined symbols.
"""
undefined_symbols = self.get_undefined_symbols()
for symbol in undefined_symbols:
self.logger.error("Undefined reference: %s", symbol)
if undefined_symbols:
undefined = ", ".join(undefined_symbols)
raise CompilerError("Undefined references: {}".format(undefined))
def do_relaxations(self):
""" Linker relaxation. Just relax ;).
Linker relaxation is the process of finding shorted opcodes for
jumps to addresses nearby.
For example, an instruction set might
define two jump operations. One with a 32 bits offset, and one with
an 8 bits offset. Most likely the compiler will generate conservative
code, so always 32 bits branches. During the relaxation phase, the
code is scanned for possible replacements of the 32 bits jump by an
8 bit jump.
Possible issues that might occur during this phase:
- alignment of code. Code that was previously aligned might be
shifted.
- Linker relaxations might cause the opposite effect on jumps whose
distance increases due to relaxation. This occurs when jumping over
a memory whole between sections.
"""
self.logger.debug("Doing linker relaxations")
# TODO: general note. Alignment must still be taken into account.
# A wrong situation occurs, when reducing the image by small amount
# of bytes. Locations that were aligned before, might become unaligned.
# First, determine the list of possible optimizations!
lst = []
for relocation in self.dst.relocations:
sym_value = self.get_symbol_value(relocation.symbol_id)
reloc_section = self.dst.get_section(relocation.section)
reloc_value = reloc_section.address + relocation.offset
rcls = self.dst.arch.isa.relocation_map[relocation.reloc_type]
reloc = rcls(
None, offset=relocation.offset, addend=relocation.addend
)
if reloc.can_shrink(sym_value, reloc_value):
# Apply code patching:
begin = relocation.offset
size = reloc.size()
end = begin + size
data = reloc_section.data[begin:end]
assert len(data) == size, "len({}) ({}-{}) != {}".format(
data, begin, end, size
)
# Apply code patch:
self.logger.debug("Applying patch for %s", reloc)
data, new_relocs = reloc.do_shrink(
sym_value, data, reloc_value
)
new_size = len(data)
diff = size - new_size
assert 0 <= diff <= size
# assert len(data) == size
new_end = begin + new_size
assert new_end + new_size == end
# Do not shrink the data here, we will do this later on.
reloc_section.data[begin:new_end] = data
# Define new memory hole, starting after instruction
hole = (new_end, diff)
# Record this reduction occurence:
lst.append((hole, relocation, reloc, new_relocs))
if not lst:
self.logger.debug("No linker relaxations found")
return
s = ", ".join(str(x) for x in lst)
self.logger.debug("Relaxable relocations: %s", s)
# Define a map with the byte holes:
holes_map = defaultdict(list) # section name to list of holes.
# Remove old relocations by new ones.
for hole, relocation, reloc, new_relocs in lst:
# Remove old relocation which is superceeded:
self.dst.relocations.remove(relocation)
# Inject new relocations:
for new_reloc in new_relocs:
# TODO: maybe deal with somewhat shifted new relocations?
# Create fresh relocation entry for patched code.
new_relocation = RelocationEntry(
new_reloc.name,
relocation.symbol_id,
relocation.section,
relocation.offset,
relocation.addend,
)
self.dst.add_relocation(new_relocation)
# Register hole:
assert relocation.section
holes_map[relocation.section].append(hole)
for holes in holes_map.values():
holes.sort(key=lambda x: x[0])
# TODO: at this point, there can be the situation that we have two
# sections which become further apart (due to them being in different
# memory images. In this case, some relative jumps can become
# unreachable. What should be do in this case?
# Code has been patched here. Now update all relocations, symbols and
# section addresses.
self._apply_relaxation_holes(holes_map)
def _apply_relaxation_holes(self, hole_map):
""" Punch holes in the destination object file.
Do adjustments to section addresses, symbol offsets
and relocation offsets.
"""
def count_holes(offset, holes):
""" Count how much holes we have until the given offset. """
diff = 0
for hole_offset, hole_size in holes:
if hole_offset < offset:
diff += hole_size
else:
break
return diff
# Update symbols which are located in sections.
for symbol in self.dst.symbols:
# Ignore global section-less symbols.
if symbol.section is None:
continue
holes = hole_map[symbol.section]
delta = count_holes(symbol.value, holes)
self.logger.debug(
"symbol changing %s (id=%s) at %08x with -%08x",
symbol.name,
symbol.id,
symbol.value,
delta,
)
symbol.value -= delta
# Update relocations (which are always located in a section)
for relocation in self.dst.relocations:
assert relocation.section
holes = hole_map[relocation.section]
delta = count_holes(relocation.offset, holes)
self.logger.debug(
"relocation changing %s at offset %08x with -%08x",
relocation.symbol_id,
relocation.offset,
delta,
)
relocation.offset -= delta
# Update section data:
for section in self.dst.sections:
# Loop over holes in reverse, since earlier holes influence later
# holes.
holes = hole_map[section.name]
for hole_offset, hole_size in reversed(holes):
for _ in range(hole_size):
section.data.pop(hole_offset)
# Calculate total change per section
section_changes = {
name: sum(h[1] for h in holes) for name, holes in hole_map.items()
}
# Update layout of section in images
for image in self.dst.images:
delta = 0
for section in image.sections:
self.logger.debug(
"sectororchanging %s at %08x with -%08x to %08x",
section.name,
section.address,
delta,
)
# TODO: tricky stuff might go wrong here with alignment
# requirements of sections.
# Idea: re-do the layout phase?
section.address -= delta
delta += section_changes[section.name]
def do_relocations(self):
""" Perform the correct relocation as listed """
self.logger.debug(
"Performing {} linker relocations".format(
len(self.dst.relocations)
)
)
for reloc in self.dst.relocations:
self._do_relocation(reloc)
def _do_relocation(self, relocation):
""" Perform a single relocation.
This involves hammering some specific bits in the section data
according to symbol location and relocation location in the file.
"""
sym_value = self.get_symbol_value(relocation.symbol_id)
section = self.dst.get_section(relocation.section)
# Determine address in memory of reloc patchup position:
reloc_value = section.address + relocation.offset
# reloc_function = self.arch.get_reloc(reloc.typ)
# Construct architecture specific relocation:
rcls = self.dst.arch.isa.relocation_map[relocation.reloc_type]
reloc = rcls(None, offset=relocation.offset, addend=relocation.addend)
begin = relocation.offset
size = reloc.size()
end = begin + size
data = section.data[begin:end]
assert len(data) == size, "len({}) ({}-{}) != {}".format(
data, begin, end, size
)
data = reloc.apply(sym_value, data, reloc_value)
assert len(data) == size
section.data[begin:end] = data
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220,
220,
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981,
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7,
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15414,
4008,
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220,
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220,
220,
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2665,
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25,
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] | 2.126216 | 11,203 |
from django.db import models
import uuid
# Create your models here.
| [
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
11748,
334,
27112,
198,
198,
2,
13610,
534,
4981,
994,
13,
198
] | 3.45 | 20 |
from setuptools import setup
setup(
name='interactive_segmentation',
version='1.0',
packages=['annotate'],
license='MIT'
)
| [
6738,
900,
37623,
10141,
1330,
9058,
198,
198,
40406,
7,
198,
220,
220,
220,
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6,
4357,
198,
220,
220,
220,
5964,
11639,
36393,
6,
198,
8,
198
] | 2.545455 | 55 |
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