content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
# *****************************************************************************
#
# Copyright (c) 2020, the pyEX authors.
#
# This file is part of the jupyterlab_templates library, distributed under the terms of
# the Apache License 2.0. The full license can be found in the LICENSE file.
#
# for Coverage
from mock import MagicMock, patch
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2... | 4.083333 | 84 |
from grouper.fe.handlers.template_variables import get_user_view_template_vars
from grouper.fe.util import GrouperHandler
from grouper.models.user import User
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import requests
from bs4 import BeautifulSoup
url = "http://scholar.google.com/citations?hl=en&user=B7vSqZsAAAAJ&view_op=list_works&pagesize=100"
request = requests.get(url)
soup = BeautifulSoup(request.text, 'lxml')
table = soup.find("table", attrs={"id" : "gsc_a_t"})
for paper in table.findAll("td", attrs={"class": "gsc_a_t"}):
print(paper.a.string)
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"""Websocket subscriber handler functions."""
import asyncio
import logging
from asyncio import CancelledError
from typing import List
from starlette.websockets import WebSocket, WebSocketDisconnect
from notify_server.clients.serdes import TopicEvent
from notify_server.clients.subscriber import Subscriber, create
from robot_server.settings import get_settings
log = logging.getLogger(__name__)
async def handle_socket(
websocket: WebSocket,
topics: List[str]) -> None:
"""Handle a websocket connection."""
subscriber = create(
get_settings().notification_server_subscriber_address,
topics
)
await asyncio.gather(
receive(websocket, subscriber),
route_events(websocket, subscriber)
)
async def receive(websocket: WebSocket, subscriber: Subscriber) -> None:
"""Read data from websocket. Will exit on websocket disconnect."""
try:
while True:
await websocket.receive_json()
except WebSocketDisconnect:
log.info("Websocket subscriber disconnected.")
subscriber.close()
async def send(websocket: WebSocket, entry: TopicEvent) -> None:
"""Send entry to web socket."""
await websocket.send_text(entry.json())
async def route_events(websocket: WebSocket, subscriber: Subscriber) -> None:
"""Route events from subscriber to websocket."""
try:
async for entry in subscriber:
await send(websocket, entry)
except CancelledError:
log.exception("Connection to notify-server closed.")
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53... | 2.909774 | 532 |
import torch
from naslib.search_spaces.core.primitives import AbstractPrimitive, Identity
class DropPathWrapper(AbstractPrimitive):
"""
A wrapper for the drop path training regularization.
"""
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from version import get_version
__version__ = get_version(pep440=False)
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import logging
from typing import List
import yaml
from kubeluigi.k8s import (
clean_job_resources,
job_definition,
pod_spec_from_dict,
run_and_track_job,
kubernetes_client,
attach_volume_to_spec,
FailedJob,
)
from kubeluigi.volumes import AttachableVolume
from kubernetes.client import ApiClient
from kubernetes.client.models.v1_job import V1Job
from kubernetes.client.models.v1_pod_spec import V1PodSpec
logger = logging.getLogger(__name__)
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... | 2.586957 | 184 |
from raiden.utils import (
is_minified_address,
is_supported_client,
)
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from numpy import number
from settings import NORMALIZATION_NUMBER_OF_BUCKETS
from dataset.raw_dataset import RawDataset
from normalization.price_normalizer import PriceNormalizer
if __name__ == "__main__":
raw_dataset = RawDataset()
size = raw_dataset.load()
number_of_buckets = NORMALIZATION_NUMBER_OF_BUCKETS
normalizer = PriceNormalizer(raw_dataset.books, number_of_buckets)
normalizer.plot_buckets()
normalizer.sample_plot()
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13,... | 2.79878 | 164 |
import datetime
from bson.json_util import dumps
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# coding=utf-8
from __future__ import absolute_import, division, print_function
from oct.cli.version import VERSION
from oct.tests.unit.playbook_runner_test_case import PlaybookRunnerTestCase, TestCaseParameters, show_stack_trace
if not show_stack_trace:
__unittest = True
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6... | 3.294118 | 85 |
import numpy as np
import cv2
import random
face_cascade = cv2.CascadeClassifier('D:\python36\Lib\site-packages\cv2\data\haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('D:\python36\Lib\site-packages\cv2\data\haarcascade_eye.xml')
#先检测人脸，存到face.jpg中
cap=cv2.VideoCapture(0)
while(True):
ret,frame = cap.read()
img = frame
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
cv2.imshow('roi_color',roi_color)
cv2.imwrite('face.jpg',roi_color)
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
cv2.imshow('img',img)
# 按s键保存退出
if cv2.waitKey(1000)&0xFF==ord('s'):
break
cv2.destroyAllWindows()
#下棋程序开始
ret,frame = cap.read()
L=len(frame)
W=len(frame[0])
print(L,W)
SIZE=100
X0=int(W/2-1.5*SIZE)
Y0=int(L/2-1.5*SIZE)
R=int(SIZE/2)
chessboard=[[0,0,0],[0,0,0],[0,0,0]]
print(chessboard)
playsteps=0
#顺序查找空格版本
#随机数AI版本
#j堵活二版
# 创建图像与窗口并将窗口与回调函数绑定
cv2.namedWindow('frame')
cv2.setMouseCallback('frame',mouse_dclick)
while(True):
ret,frame = cap.read()
#画棋盘和棋子
for i in range(3):
for j in range(3):
cv2.rectangle(frame,(i*SIZE+X0,j*SIZE+Y0),(i*SIZE+SIZE+X0,j*SIZE+SIZE+Y0),(255,128,255),2)
if chessboard[i][j]==1:
cv2.circle(frame,(i*SIZE+X0+R,j*SIZE+Y0+R),R,(255,0,0),-1)
mychess1(frame,(i*SIZE+X0+R,j*SIZE+Y0+R),R)
elif chessboard[i][j]==2:
cv2.circle(frame,(i*SIZE+X0+R,j*SIZE+Y0+R),R,(255,0,0),3)
mychess2(frame,(i*SIZE+X0+R,j*SIZE+Y0+R),R)
cv2.imshow('frame',frame)
#判断输赢，检查每行
winner=0
for i in range(3):
counter1=0
counter2=0
for j in range(3):
if chessboard[i][j]==1:
counter1+=1
elif chessboard[i][j]==2:
counter2+=1
if counter1==3:
winner=1
break
elif counter2==3:
winner=2
break
if winner !=0:
print("winner=",winner)
break
# 判断输赢，坚持每列
for j in range(3):
counter1=0
counter2=0
for i in range(3):
if chessboard[i][j]==1:
counter1+=1
elif chessboard[i][j]==2:
counter2+=1
if counter1==3:
winner=1
break
elif counter2==3:
winner=2
break
if winner !=0:
print("winner=",winner)
break
# 判断输赢，检查对角线。
counter1=0
counter2=0
for j in range(3):
if chessboard[j][j]==1:
counter1+=1
elif chessboard[j][j]==2:
counter2+=1
if counter1==3:
winner=1
elif counter2==3:
winner=2
if winner !=0:
print("winner=",winner)
break
# 判断输赢，检查对角线。
counter1=0
counter2=0
for j in range(3):
if chessboard[j][2-j]==1:
counter1+=1
elif chessboard[j][2-j]==2:
counter2+=1
if counter1==3:
winner=1
elif counter2==3:
winner=2
if winner !=0:
print("winner=",winner)
break
if cv2.waitKey(1000)&0xFF==ord('q'):
break
font=cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(frame,'Winnner '+str(winner),(160,70), font, 2,(255,255,255),4)
cv2.imshow("frame",frame)
cv2.waitKey(5000)
cap.release()
cv2.destroyAllWindows()
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# Copyright IBM Corp. 2016 All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import time
import sys
import hashlib
if sys.version_info < (3, 6):
import sha3
from OpenSSL import crypto
from OpenSSL import rand
import ecdsa
from collections import namedtuple
from itertools import groupby
from enum import Enum
from google.protobuf import timestamp_pb2
from common import common_pb2 as common_dot_common_pb2
from common import configtx_pb2 as common_dot_configtx_pb2
from common import configuration_pb2 as common_dot_configuration_pb2
from common import policies_pb2 as common_dot_policies_pb2
from common import msp_principal_pb2
from msp import mspconfig_pb2
from peer import configuration_pb2 as peer_dot_configuration_pb2
from orderer import configuration_pb2 as orderer_dot_configuration_pb2
import orderer_util
from contexthelper import ContextHelper
import os
import re
import shutil
import compose
# Type to represent tuple of user, nodeName, ogranization
NodeAdminTuple = namedtuple("NodeAdminTuple", ['user', 'nodeName', 'organization'])
ApplicationGroup = "Application"
OrdererGroup = "Orderer"
MSPKey = "MSP"
toValue = lambda message: message.SerializeToString()
def computeCryptoHash(data):
' This will currently return 128 hex characters'
# s = hashlib.sha3_256()
s = hashlib.sha256()
# s = hashlib.shake_256()
#return s.digest(64)
s.update(data)
return s.digest()
def createCertRequest(pkey, digest="sha256", **name):
"""
Create a certificate request.
Arguments: pkey - The key to associate with the request
digest - Digestion method to use for signing, default is sha256
**name - The name of the subject of the request, possible
arguments are:
C - Country name
ST - State or province name
L - Locality name
O - Organization name
OU - Organizational unit name
CN - Common name
emailAddress - E-mail address
Returns: The certificate request in an X509Req object
"""
req = crypto.X509Req()
subj = req.get_subject()
for key, value in name.items():
setattr(subj, key, value)
req.set_pubkey(pkey)
req.sign(pkey, digest)
return req
def createCertificate(req, issuerCertKey, serial, validityPeriod, digest="sha256", isCA=False):
"""
Generate a certificate given a certificate request.
Arguments: req - Certificate request to use
issuerCert - The certificate of the issuer
issuerKey - The private key of the issuer
serial - Serial number for the certificate
notBefore - Timestamp (relative to now) when the certificate
starts being valid
notAfter - Timestamp (relative to now) when the certificate
stops being valid
digest - Digest method to use for signing, default is sha256
Returns: The signed certificate in an X509 object
"""
issuerCert, issuerKey = issuerCertKey
notBefore, notAfter = validityPeriod
cert = crypto.X509()
cert.set_version(3)
cert.set_serial_number(serial)
cert.gmtime_adj_notBefore(notBefore)
cert.gmtime_adj_notAfter(notAfter)
cert.set_issuer(issuerCert.get_subject())
cert.set_subject(req.get_subject())
cert.set_pubkey(req.get_pubkey())
if isCA:
cert.add_extensions([crypto.X509Extension("basicConstraints", True,
"CA:TRUE, pathlen:0"),
crypto.X509Extension("subjectKeyIdentifier", False, "hash",
subject=cert)])
#TODO: This only is appropriate for root self signed!!!!
cert.add_extensions([crypto.X509Extension("authorityKeyIdentifier", False, "keyid:always", issuer=cert)])
else:
cert.add_extensions([crypto.X509Extension("basicConstraints", True,
"CA:FALSE"),
crypto.X509Extension("subjectKeyIdentifier", False, "hash",
subject=cert)])
cert.add_extensions([crypto.X509Extension("authorityKeyIdentifier", False, "keyid:always", issuer=issuerCert)])
cert.sign(issuerKey, digest)
return cert
# SUBJECT_DEFAULT = {countryName : "US", stateOrProvinceName : "NC", localityName : "RTP", organizationName : "IBM", organizationalUnitName : "Blockchain"}
def addOrdererBootstrapAdminOrgReferences(context, policyName, orgNames):
'Adds a key/value pair of policyName/[orgName,...]'
directory = getDirectory(context)
ordererBootstrapAdmin = directory.getUser(userName="ordererBootstrapAdmin", shouldCreate=False)
if not 'OrgReferences' in ordererBootstrapAdmin.tags:
ordererBootstrapAdmin.tags['OrgReferences'] = {}
policyNameToOrgNamesDict = ordererBootstrapAdmin.tags['OrgReferences']
assert not policyName in policyNameToOrgNamesDict, "PolicyName '{0}' already registered with ordererBootstrapAdmin".format(
policyName)
policyNameToOrgNamesDict[policyName] = orgNames
return policyNameToOrgNamesDict
def createConfigUpdateTxEnvelope(chainId, configUpdateEnvelope):
'The Join channel flow'
bootstrapHelper = BootstrapHelper(chainId=chainId)
payloadChainHeader = bootstrapHelper.makeChainHeader(
type=common_dot_common_pb2.HeaderType.Value("CONFIG_UPDATE"))
# Now the SignatureHeader
serializedCreatorCertChain = None
nonce = None
payloadSignatureHeader = common_dot_common_pb2.SignatureHeader(
creator=serializedCreatorCertChain,
nonce=bootstrapHelper.getNonce(),
)
payloadHeader = common_dot_common_pb2.Header(
channel_header=payloadChainHeader,
signature_header=payloadSignatureHeader,
)
payload = common_dot_common_pb2.Payload(header=payloadHeader, data=configUpdateEnvelope.SerializeToString())
envelope = common_dot_common_pb2.Envelope(payload=payload.SerializeToString(), signature=None)
return envelope
def createGenesisBlock(context, chainId, consensusType, signedConfigItems=[]):
'Generates the genesis block for starting the oderers and for use in the chain config transaction by peers'
# assert not "bootstrapGenesisBlock" in context,"Genesis block already created:\n{0}".format(context.bootstrapGenesisBlock)
directory = getDirectory(context)
assert len(directory.ordererAdminTuples) > 0, "No orderer admin tuples defined!!!"
channelConfig = createChannelConfigGroup()
for configGroup in signedConfigItems:
mergeConfigGroups(channelConfig, configGroup)
# (fileName, fileExist) = ContextHelper.GetHelper(context=context).getTmpPathForName(name="t",extension="protobuf")
# with open(fileName, 'w') as f:
# f.write(channelConfig.SerializeToString())
config = common_dot_configtx_pb2.Config(
header=common_dot_common_pb2.ChannelHeader(channel_id=chainId,
type=common_dot_common_pb2.HeaderType.Value("CONFIG")),
channel=channelConfig)
configEnvelope = common_dot_configtx_pb2.ConfigEnvelope(config=config)
envelope = createConfigTxEnvelope(chainId=chainId, config_envelope=configEnvelope)
blockData = common_dot_common_pb2.BlockData(data=[envelope.SerializeToString()])
# Spoke with kostas, for orderer in general
signaturesMetadata = ""
lastConfigurationBlockMetadata = common_dot_common_pb2.Metadata(
value=common_dot_common_pb2.LastConfig(index=0).SerializeToString()).SerializeToString()
ordererConfigMetadata = ""
transactionFilterMetadata = ""
bootstrapHelper = BootstrapHelper(chainId="NOT_USED")
block = common_dot_common_pb2.Block(
header=common_dot_common_pb2.BlockHeader(
number=0,
previous_hash=None,
data_hash=bootstrapHelper.computeBlockDataHash(blockData),
),
data=blockData,
metadata=common_dot_common_pb2.BlockMetadata(
metadata=[signaturesMetadata, lastConfigurationBlockMetadata, transactionFilterMetadata,
ordererConfigMetadata]),
)
# Add this back once crypto certs are required
for nodeAdminTuple in directory.ordererAdminTuples:
userCert = directory.ordererAdminTuples[nodeAdminTuple]
certAsPEM = crypto.dump_certificate(crypto.FILETYPE_PEM, userCert)
# print("UserCert for orderer genesis:\n{0}\n".format(certAsPEM))
# print("")
return (block, envelope)
class PathType(Enum):
'Denotes whether Path relative to Local filesystem or Containers volume reference.'
Local = 1
Container = 2
class OrdererGensisBlockCompositionCallback(compose.CompositionCallback, CallbackHelper):
'Responsible for setting the GensisBlock for the Orderer nodes upon composition'
def decomposing(self, composition, context):
'Will remove the orderer volume path folder for the context'
shutil.rmtree(self.getVolumePath(composition))
class PeerCompositionCallback(compose.CompositionCallback):
'Responsible for setting up Peer nodes upon composition'
def composing(self, composition, context):
'Will copy local MSP info over at this point for each peer node'
directory = getDirectory(context)
for peerService in self.getPeerList(composition):
localMspConfigPath = self.getLocalMspConfigPath(composition, peerService)
self._createLocalMspConfigDirs(localMspConfigPath)
# Loop through directory and place Peer Organization Certs into cacerts folder
for peerOrg in [org for orgName, org in directory.organizations.items() if Network.Peer in org.networks]:
with open("{0}/cacerts/{1}.pem".format(localMspConfigPath, peerOrg.name), "w") as f:
f.write(crypto.dump_certificate(crypto.FILETYPE_PEM, peerOrg.getSelfSignedCert()))
# Loop through directory and place Peer Organization Certs into admincerts folder
# TODO: revisit this, ASO recommended for now
for peerOrg in [org for orgName, org in directory.organizations.items() if Network.Peer in org.networks]:
with open("{0}/admincerts/{1}.pem".format(localMspConfigPath, peerOrg.name), "w") as f:
f.write(crypto.dump_certificate(crypto.FILETYPE_PEM, peerOrg.getSelfSignedCert()))
# Find the peer signer Tuple for this peer and add to signcerts folder
for pnt, cert in [(peerNodeTuple, cert) for peerNodeTuple, cert in directory.ordererAdminTuples.items() if
peerService in peerNodeTuple.user and "signer" in peerNodeTuple.user.lower()]:
# Put the PEM file in the signcerts folder
with open("{0}/signcerts/{1}.pem".format(localMspConfigPath, pnt.user), "w") as f:
f.write(crypto.dump_certificate(crypto.FILETYPE_PEM, cert))
# Put the associated private key into the keystore folder
user = directory.getUser(pnt.user, shouldCreate=False)
with open("{0}/keystore/{1}.pem".format(localMspConfigPath, pnt.user), "w") as f:
f.write(user.ecdsaSigningKey.to_pem())
# f.write(crypto.dump_privatekey(crypto.FILETYPE_PEM, user.pKey))
def decomposing(self, composition, context):
'Will remove the orderer volume path folder for the context'
shutil.rmtree(self.getVolumePath(composition))
def createChainCreatorsPolicy(context, chainCreatePolicyName, chaindId, orgNames):
'Creates the chain Creator Policy with name'
directory = getDirectory(context)
bootstrapHelper = BootstrapHelper(chainId=chaindId)
# This represents the domain of organization which can create channels for the orderer
# First create org MSPPrincicpal
# Collect the orgs from the table
mspPrincipalList = []
for org in [directory.getOrganization(orgName) for orgName in orgNames]:
mspPrincipalList.append(msp_principal_pb2.MSPPrincipal(
PrincipalClassification=msp_principal_pb2.MSPPrincipal.Classification.Value("ByIdentity"),
Principal=crypto.dump_certificate(crypto.FILETYPE_ASN1, org.getSelfSignedCert())))
policy = common_dot_policies_pb2.Policy(
type=common_dot_policies_pb2.Policy.PolicyType.Value("SIGNATURE"),
policy=AuthDSLHelper.Envelope(
signaturePolicy=AuthDSLHelper.NOutOf(
0, []),
identities=mspPrincipalList).SerializeToString())
channel = common_dot_configtx_pb2.ConfigGroup()
channel.policies[chainCreatePolicyName].policy.CopyFrom(policy)
# print("signed Config Item:\n{0}\n".format(chainCreationPolicyNamesSignedConfigItem))
# print("chain Creation orgs signed Config Item:\n{0}\n".format(chainCreatorsOrgsPolicySignedConfigItem))
return channel
def setOrdererBootstrapGenesisBlock(genesisBlock):
'Responsible for setting the GensisBlock for the Orderer nodes upon composition'
| [
2,
15069,
19764,
11421,
13,
1584,
1439,
6923,
33876,
13,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
... | 2.591928 | 5,352 |
from itertools import product
import matplotlib.pyplot as plt
import tpsim as tp
import numpy as np
# --------------------------------------------------------------------------- #
# Simulation parameters
# --------------------------------------------------------------------------- #
## ---------- Simulation time
# Start time [1/wce]
t_start = 0
# Stop time [1/wce]
t_stop = 70 * 2 * np.pi
# Time step [1/wce]
dt = np.pi * 1e-3
# Number of time steps
Nt = int(t_stop / dt)
# Interval to save data
save_interval = Nt // 1000
## ---------- Background parameters
# Background magnetic field [nT]
B0 = 60
# Number density [1/cc]
n = 350
# Electron cyclotron frequency
wce = tp.wcs(B0, "e-")
# Electron plasma frequency
wpe = tp.wps(n, "e-")
## ---------- Wave parameters
# w/wce
w_wce = 0.15
# Obliquity [rad]
theta = np.radians(65)
# Amplitude [mV/m]
E0 = 20.0
# Normalized amplitude
E0n = tp.normalize_E(E0, B0)
# Calculate polarizations
Nx, Nz, pex, pey, pez, pbx, pby, pbz = tp.whistler_polarization(
theta, B0, n, w_wce * wce
)
"""NOTE:
In this coordinate system, the electric field is determined analytically as
Ew = E0 ( pex cos(psi), -ey sin(psi), ez cos(psi) ). So the original electric
field magnitude is Ew0 = E0n sqrt(pex^2 + pez^2) if psi0 = 0. Since we wish the
wave amplitude to be E0n, we have to rescale it such that Ew0 = E0n.
"""
E0n /= np.sqrt(pex ** 2 + pez ** 2)
# Recalculate original amplitude in physical units (just to make sure)
Ew0_recal = E0n * np.sqrt(pex ** 2 + pez ** 2) * tp.c * B0 * 1e-3
Bw0_recal = E0n * pby * B0
## ---------- Particle parameters
# Speed
S_range = np.linspace(0, tp.KE2S(3000), 30) / tp.c
# Gyrophase
G_range = np.radians(np.arange(0, 1, 20))
# Pitch angle
P_range = np.radians(np.arange(0, 181, 5))
S, G, P = np.array(list(product(S_range, G_range, P_range))).T
# Number of particles
Np = len(S)
# Normalized position
xn, yn, zn = np.zeros((3, Np))
# Normalized velocity
uxn, uyn, uzn = S * np.array([
np.sin(P) * np.cos(G),
np.sin(P) * np.sin(G),
np.cos(P),
])
## ---------- Electromagnetic field model
## Define the electromagnetic field here (background + perturbations)
def EM_model(t, x, y, z, ux, uy, uz):
"""Returns `Np`-dimensional arrays `Ex`, `Ey`, `Ez`, `Bx`, `By`, `Bz` in
normalized units.
"""
psi = w_wce * (Nx * x + Nz * z - t)
Ex = E0n * pex * np.cos(psi)
Ey =-E0n * pey * np.sin(psi)
Ez = E0n * pez * np.cos(psi)
Bx = E0n * pbx * np.sin(psi)
By = E0n * pby * np.cos(psi)
Bz = E0n * pbz * np.sin(psi) + 1
return Ex, Ey, Ez, Bx, By, Bz
# Simulation information
sim_info = f"""
------------------------------------------------------------------
Simulation of particle dynamics in a single uniform whistler.
------------------------------------------------------------------
* dtwce : {dt:.4f}
* Number of time steps : {Nt}
----------
* Number of particles : {Np}
----------
* Background magnetic field : {B0} nT
* Background electron density : {n} cm-3
* Electron plasma frequency : {wpe:.4f} rad/s
* Electron cyclotron frequency : {wce:.4f} rad/s
* wpe / wce : {wpe / wce:.4f}
----------
* Original wave electric field amplitude : {Ew0_recal:.4f} mV/m
* Original wave magnetic field amplitude : {Bw0_recal:.4f} nT
* Wave frequency : {w_wce} wce
* Wave obliquity : {np.degrees(theta)} deg
------------------------------------------------------------------
"""
| [
6738,
340,
861,
10141,
1330,
1720,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
256,
862,
320,
355,
256,
79,
198,
11748,
299,
32152,
355,
45941,
628,
198,
2,
16529,
32284,
1303,
198,
2,
220,
220,
220,
22... | 2.356314 | 1,552 |
"""
The :class:`.Session` class provides TinyAPI's core functionality. It manages the authentication cookies and token for all requests to TinyLetter's undocumented API.
"""
import requests
import re
import json
from .draft import Draft
URL = "https://app.tinyletter.com/__svcbus__/"
DEFAULT_MESSAGE_STATUSES = [
"sent",
"sending",
]
token_pat = re.compile(r'csrf_token="([^"]+)"')
class Session(object):
"""An authenticated tinyletter.com session."""
def __init__(self, username, password=False):
"""Returns a logged-in session."""
self.username = username
self.cookies, self.token = get_cookies_and_token()
self._login(password)
def request(self, service, data):
"""
Makes a call to TinyLetter's __svcbus__ endpoint.
"""
_res = self._request(service, data)
res = _res.json()[0][0]
if res["success"] == True:
return res["result"]
else:
err_msg = res["errmsg"]
raise Exception("Request not successful: '{0}'".format(err_msg))
def count_messages(self, statuses=DEFAULT_MESSAGE_STATUSES):
"""Returns the number of messages your account has sent.
``DEFAULT_MESSAGE_STATUSES`` is set to ``[ "sent", "sending" ]``.
Other possible statuses include "draft", "failed_review", "failed_disabled", and "failed_schedule".
"""
return self.request("count:Message", [{"status": statuses}])
def get_messages(self,
statuses=DEFAULT_MESSAGE_STATUSES,
order="sent_at desc",
offset=None,
count=None,
content=False):
"""Returns a list of messages your account sent.
Messages are sorted by ``order``, starting at an optional integer ``offset``, and optionally limited to the first ``count`` items (in sorted order).
Returned data includes various statistics about each message, e.g., ``total_opens``, ``open_rate``, ``total_clicks``, ``unsubs``, ``soft_bounces``. If ``content=True``, the returned data will also include HTML content of each message.
"""
req_data = [ { "status": statuses }, order, fmt_paging(offset, count) ]
service = "query:Message.stats"
if content: service += ", Message.content"
return self.request(service, req_data)
def get_drafts(self, **kwargs):
"""Same as Session.get_messages, but where ``statuses=["draft"]``."""
default_kwargs = { "order": "updated_at desc" }
default_kwargs.update(kwargs)
return self.get_messages(statuses=["draft"], **default_kwargs)
def get_message(self, message_id):
"""Return stats *and* message content for a given message."""
req_data = [ str(message_id) ]
return self.request("find:Message.stats, Message.content", req_data)
def count_urls(self):
"""Returns the total number of URLs included in your messages"""
return self.request("count:Message_Url", [ None ])
def get_urls(self, order="total_clicks desc", offset=None, count=None):
"""Returns a list of URLs you've included in messages.
List is sorted by ``total_clicks``, starting at an optional integer ``offset``, and optionally limited to the first ``count`` items.
"""
req_data = [ None, order, fmt_paging(offset, count) ]
return self.request("query:Message_Url", req_data)
def get_message_urls(self, message_id, order="total_clicks desc"):
"""Returns a list of URLs you've included in a specific message.
List is sorted by ``total_clicks``, starting at an optional integer ``offset``, and optionally limited to the first ``count`` items.
"""
req_data = [ { "message_id": str(message_id) }, order, None ]
return self.request("query:Message_Url", req_data)
def count_subscribers(self):
"""Returns your newsletter's number of subscribers."""
return self.request("count:Contact", [ None ])
def get_subscribers(self,
order="created_at desc",
offset=None,
count=None):
"""Returns a list of subscribers.
List is sorted by most-recent-to-subsribe, starting at an optional integer ``offset``, and optionally limited to the first ``count`` items (in sorted order).
Returned data includes various statistics about each subscriber, e.g., ``total_sent``, ``total_opens``, ``total_clicks``.
"""
req_data = [ None, order, fmt_paging(offset, count)]
return self.request("query:Contact.stats", req_data)
def get_subscriber(self, subscriber_id):
"""Returns data corresponding to a specific subcriber."""
req_data = [ str(subscriber_id) ]
return self.request("find:Contact.stats", req_data)
def create_draft(self):
"""Create a new draft message."""
return Draft(self)
def edit_draft(self, message_id):
"""Fetch a specific draft to be edited."""
return Draft(self, message_id).fetch()
| [
37811,
198,
464,
1058,
4871,
25,
44646,
36044,
63,
1398,
3769,
20443,
17614,
338,
4755,
11244,
13,
632,
15314,
262,
18239,
14746,
290,
11241,
329,
477,
7007,
284,
20443,
45708,
338,
21829,
7824,
13,
198,
37811,
198,
198,
11748,
7007,
19... | 2.585736 | 1,977 |
from flask import Flask, request, abort, jsonify
from pyspark import SparkContext
from pyspark.sql import SQLContext
from pyspark.sql.types import *
import os
from itertools import combinations
from pyspark.sql.functions import monotonically_increasing_id
app = Flask(__name__)
sc = SparkContext()
sqlContext = SQLContext(sc)
@app.route('/')
@app.route('/runq', methods=['POST'])
if __name__ == '__main__':
import argparse
ap = argparse.ArgumentParser()
ap.add_argument('-p', '--port', required=False, help='port number')
args = vars(ap.parse_args())
try:
port = args['port']
app.run(port=int(port), debug=True)
except ValueError:
app.run(port=5000, debug=True) | [
6738,
42903,
1330,
46947,
11,
2581,
11,
15614,
11,
33918,
1958,
198,
6738,
279,
893,
20928,
1330,
17732,
21947,
198,
6738,
279,
893,
20928,
13,
25410,
1330,
16363,
21947,
198,
6738,
279,
893,
20928,
13,
25410,
13,
19199,
1330,
1635,
198... | 2.725191 | 262 |
"""
This is the project's main file, it has a function for each of the main classes, as well
as the wikidata uploader file. The imports are above, as well as split into each file.
There is a simple logger to track any critical errors.
"""
import logging
import pandas as pd
import datetime
from grao_table_processing.markdown_to_df import ReadMarkdownTable
from grao_table_processing.acquire_url import DataURL
from grao_table_processing.ekatte_dataframe import EkatteDataframe
from grao_table_processing.wikidata_codes import WikidataCodes
from grao_table_processing.wikidata_uploader import upload_to_wikidata, set_old_ranks_to_normal
logging.basicConfig(filename='logs/ekatte.log', filemode='a+', level=logging.CRITICAL,
format='%(asctime)s %(levelname)s %(name)s %(message)s')
def generate_url(url_object: DataURL()) -> str:
"""
Calls the DataURL class and provides a URL to extract data from
Args:
url_object: DataURL() class object
Return:
DataURL.generate_data_url(url_object): string
"""
return DataURL.generate_data_url(url_object)
def extract_date(url: str) -> datetime.date:
"""
By using the result of the generate URL function, extracts the date to be used
in the data loading.
Args:
url: a string URL that leads to a markdown table for date extraction
Return:
date_object: datetime.date object
"""
markdown_object = ReadMarkdownTable(url, '|')
date_object = markdown_object.extract_date()
return date_object
def transformations(url: str) -> pd.DataFrame:
"""
This function invokes the ReadMarkdownTable class, and does all necessary
transformations so that it is ready to be merged forward.
Args:
url: a string URL that leads to a markdown table for data extraction
Return:
markdown_object.markdown_df: pd.DataFrame
"""
markdown_object = ReadMarkdownTable(url, '|')
# ''''''''''''''' Drop unused columns '''''''''''''''''
column_list = [0, 5, 6, 7, 9, 10, 11, 12]
markdown_object.drop_attributes(column_list)
# ''''''''''''''' Use meaningful labels '''''''''''''''''
markdown_object.markdown_df.columns = ['region', 'municipality', 'settlement',
'permanent_population', 'current_population']
# '''''''''''Cleaning initial data'''''''''''''''''
atts_clean = ['region', 'municipality', 'settlement']
markdown_object.strip_columns(atts_clean)
markdown_object.lower_columns(atts_clean)
markdown_object.replace_letters(atts_clean, 'ь,ъ')
markdown_object.replace_letters(atts_clean, 'ъо,ьо')
markdown_object.change_labels('settlement', 'с.елин пелин (гара елин п', 'с.елин пелин')
markdown_object.change_labels('municipality', 'добричка', 'добрич-селска')
markdown_object.change_labels('municipality', 'добрич-град', 'добрич')
markdown_object.change_labels('municipality', 'добрич-селска', 'добрич')
markdown_object.change_labels('region', 'добрич-град', 'добрич')
markdown_object.change_labels('region', 'добрич-селска', 'добрич')
markdown_object.change_labels('region', "софийска", 'софия')
markdown_object.change_labels('region', "столична", 'софия')
markdown_object.change_labels('municipality', "софийска", 'софия')
markdown_object.change_labels('municipality', "столична", 'софия')
markdown_object.change_labels('municipality', "софия (столица)", 'софия')
markdown_object.change_labels('region', "софия (столица)", 'софия')
# ''''''''''''''' Remove neighborhoods, vacation areas, Vulchovci '''''''''''''''''
clear_settlements = [
"кв.",
"ж.к.",
"к.к.",
"с.вълчовци"
]
markdown_object.clear_kv_zk('settlement', clear_settlements)
# ''''''''''''''' Clean Markdown DataFrame '''''''''''''''''
return markdown_object.markdown_df
def merge_with_ekatte(dataframe: pd.DataFrame) -> pd.DataFrame:
"""
The function invokes the EkatteDataframe class, produces the ekatte_dataframe
and merges it with the GRAO markdown table.
Args:
dataframe: pd.DataFrame
Return:
EkatteDataframe.merge_with_main(ekatte_frame): a pd.DataFrame
"""
ekatte_frame = EkatteDataframe(dataframe)
return EkatteDataframe.remove_ambigious_names(ekatte_frame)
def merge_with_q_codes(dataframe: pd.DataFrame) -> pd.DataFrame:
"""
The function invokes the WikidataCodes class, produces the Q code dataframe
and merges it with the GRAO Dataframe with Ekatte codes.
Args:
dataframe: pd.DataFrame
Return:
matched_data: pd.DataFrame, ready to have its values uploaded to WikiData
"""
wikidata_codes = WikidataCodes(dataframe)
matched_data = WikidataCodes.merge_with_ekatte(wikidata_codes)
return matched_data
def reset_ranks_to_normal(dataframe: pd.DataFrame) -> None:
"""
This function calls the Set old ranks to normal function from wikidata uploader,
it goes through each settlement resetting its historic values to "Normal Rank"
subsequently, the upload sets the most recent population values to "Preferred Rank"
and they appear on Wikipedia. This repeats each subsequent time data is uploaded.
Args:
dataframe: pandas DataFrame
Return:
None
"""
set_old_ranks_to_normal(dataframe)
def upload_data(matched_data: pd.DataFrame, url: str, date: datetime.date) -> None:
"""
This function invokes the Upload_to_wikidata function from the wikidata_uploader module.
it carries out the functions by clearing out the ranks, uploading the data quarter by quarter
for all settlements.
Args:
matched_data: pd.DataFrame
url: string
date: datetime.date
Return:
None
"""
upload_to_wikidata(matched_data, url, date)
def update_date_file(url_object: DataURL()) -> None:
"""
If the upload concludes successfully, this function is invoked. It finally updates
the date helper file with the most recent date, so that the future uploads happen on schedule.
The URL is added to the processed reports log for archiving.
Args:
url_object: DataURL() class object
Return:
None
"""
DataURL.update_date_file(url_object)
def main():
"""
The main function sets the parameters for every function in the grao.py module.
It carries out the entire logic of the project from data extraction to loading.
Return:
None
"""
url_object = DataURL()
url = generate_url(url_object)
print(url)
date = extract_date(url)
print(date)
dataframe = transformations(url)
print(dataframe.shape)
ekatte_frame = merge_with_ekatte(dataframe)
print(ekatte_frame.shape)
matched_data = merge_with_q_codes(ekatte_frame)
print(matched_data.shape)
reset_ranks_to_normal(matched_data)
upload_data(matched_data, url, date)
update_date_file(url_object)
if __name__ == "__main__":
main()
| [
37811,
198,
1212,
318,
262,
1628,
338,
1388,
2393,
11,
340,
468,
257,
2163,
329,
1123,
286,
262,
1388,
6097,
11,
355,
880,
198,
292,
262,
47145,
312,
1045,
9516,
263,
2393,
13,
383,
17944,
389,
2029,
11,
355,
880,
355,
6626,
656,
... | 2.540384 | 2,761 |
import requests
from bs4 import BeautifulSoup
import requests
url = 'https://www.imdb.com/search/title/?series=tt0285335&view=simple&sort=release_date,asc&start=1'
bru = 'https://www.imdb.com/search/title/?series=tt0285335&view=simple&sort=release_date,asc&start=51'
for pg in range(1, 362, 50):
page = requests.get(url, params={})
soup = BeautifulSoup(page.content, 'html.parser')
table = soup.find('table', {"class": "wikitable sortable plainrowheaders"})
| [
11748,
7007,
201,
198,
6738,
275,
82,
19,
1330,
23762,
50,
10486,
201,
198,
11748,
7007,
201,
198,
201,
198,
6371,
796,
705,
5450,
1378,
2503,
13,
320,
9945,
13,
785,
14,
12947,
14,
7839,
20924,
25076,
28,
926,
15,
26279,
27326,
5,
... | 2.661111 | 180 |
from __future__ import division, print_function, absolute_import
import sys
import math
import numpy as np
from numpy import sqrt, cos, sin, arctan, exp, log, pi, Inf
from numpy.testing import (assert_,
assert_allclose, assert_array_less, assert_almost_equal, assert_raises)
import pytest
from scipy.integrate import quad, dblquad, tplquad, nquad
from scipy._lib.six import xrange
from scipy._lib._ccallback import LowLevelCallable
import ctypes
import ctypes.util
from scipy._lib._ccallback_c import sine_ctypes
import scipy.integrate._test_multivariate as clib_test
| [
6738,
11593,
37443,
834,
1330,
7297,
11,
3601,
62,
8818,
11,
4112,
62,
11748,
198,
198,
11748,
25064,
198,
11748,
10688,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
299,
32152,
1330,
19862,
17034,
11,
8615,
11,
7813,
11,
610,
310,
... | 2.959596 | 198 |
dist = 4
print(prCountDP(dist))
| [
17080,
796,
604,
198,
4798,
7,
1050,
12332,
6322,
7,
17080,
4008,
198
] | 2.461538 | 13 |
# Copyright 2020 Makani Technologies LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Loadcell analog hardware monitor configuration."""
from makani.avionics.firmware.monitors import analog_types
from makani.avionics.firmware.serial import loadcell_serial_params as rev
# Output value = (input - input_offset) / input_divider.
analog_default = {
'name': '',
'channel': -1,
'type': analog_types.kAnalogTypeVoltage,
'input_divider': 1.0,
'input_offset': 0.0,
'nominal': 0.0,
'min': 0.0,
'max': 0.0,
}
voltage = dict(analog_default, type=analog_types.kAnalogTypeVoltage)
logic_high = dict(analog_default, type=analog_types.kAnalogTypeLogicHigh)
v_5v = dict(voltage, nominal=5.0, min=5.0 * 0.95, max=5.0 * 1.05) # [V]
# Allowable current range based on the allowable zero error range over temp of
# +/- 60 mV on the current sensor.
i_batt = dict(voltage, nominal=0.0, min=-0.5, max=0.5) # [A]
v_aoa = dict(voltage, nominal=1.5, min=0.0, max=3.0) # [V]
v_release = dict(voltage, nominal=0.0, min=0.0, max=30.0) # [V]
rev_ab = [
dict(i_batt, name='i_batt', channel=14, input_divider=0.095,
input_offset=0.357),
dict(v_release, name='v_release', channel=15, input_divider=9.31 / 109.31),
dict(v_aoa, name='v_aoa_1', channel=16),
dict(v_aoa, name='v_aoa_2', channel=17),
dict(v_5v, name='5v', channel=19, input_divider=14.3 / 43.0),
dict(v_release, name='v_arm', channel=20, input_divider=9.31 / 109.31),
dict(voltage, name='v_batt_test', channel=21, input_divider=9.31 / 109.31),
dict(logic_high, name='eeprom_wp', channel=23),
]
rev_aa = rev_ab + [
dict(v_5v, name='v_loadcell_bias', channel=18, input_divider=14.3 / 43.0),
]
analog_config = (rev.LoadcellHardware, {
rev.LoadcellHardware.REV_AA: rev_aa,
rev.LoadcellHardware.REV_AB: rev_ab
})
| [
2,
15069,
12131,
15841,
3216,
21852,
11419,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
198,
2,
... | 2.525918 | 926 |
#!/usr/bin/env python3
#
# SPDX-License-Identifier: MIT
import glob
import itertools
import json
import os
import sys
import urllib.parse
import urllib.request
try:
from lxml import etree
except ImportError:
import xml.etree.ElementTree as etree
URI = 'https://www.gnu.org/licenses/license-list.html'
TAGS = {
'blue': {'viewpoint'},
'green': {'gpl-2-compatible', 'gpl-3-compatible', 'libre'},
'orange': {'libre'},
'purple': {'fdl-compatible', 'libre'},
'red': {'non-free'},
}
SPLITS = {
'AcademicFreeLicense': [ # all versions through 3.0
'AcademicFreeLicense1.1',
'AcademicFreeLicense1.2',
'AcademicFreeLicense2.0',
'AcademicFreeLicense2.1',
'AcademicFreeLicense3.0',
],
'CC-BY-NC': [ # any version (!)
'CC-BY-NC-1.0',
'CC-BY-NC-2.0',
'CC-BY-NC-2.5',
'CC-BY-NC-3.0',
'CC-BY-NC-4.0',
],
'CC-BY-ND': [ # any version
'CC-BY-ND-1.0',
'CC-BY-ND-2.0',
'CC-BY-ND-2.5',
'CC-BY-ND-3.0',
'CC-BY-ND-4.0',
],
'ccbynd': ['CC-BY-ND-4.0'], # unify (multi-tag)
'FDL': [
'FDLv1.1',
'FDLv1.2',
'FDLv1.3',
],
'FDLOther': [ # unify with FDL (multi-tag)
'FDLv1.1',
'FDLv1.2',
'FDLv1.3',
],
'FreeBSDDL': ['FreeBSD'], # unify (multi-tag)
'NPL': [ # versions 1.0 and 1.1
'NPL-1.0',
'NPL-1.1',
],
'OSL': [ # any version through 3.0
'OSL-1.0',
'OSL-1.1',
'OSL-2.0',
'OSL-2.1',
'OSL-3.0',
],
'PythonOld': [ # 1.6b1 through 2.0 and 2.1
'Python1.6b1',
'Python2.0',
'Python2.1',
],
'SILOFL': [ # title has 1.1 but text says the same metadata applies to 1.0
'SILOFL-1.0',
'SILOFL-1.1',
],
'Zope2.0': [ # versions 2.0 and 2.1
'Zope2.0',
'Zope2.1',
],
}
TAG_OVERRIDES = {
'AGPLv3.0': {'libre', 'gpl-3-compatible'},
'ECL2.0': {'libre', 'gpl-3-compatible'},
'freetype': {'libre', 'gpl-3-compatible'},
'GNUGPLv3': {'libre', 'gpl-3-compatible'},
'GPLv2': {'libre', 'gpl-2-compatible'},
'LGPLv3': {'libre', 'gpl-3-compatible'},
}
IDENTIFIERS = {
'AGPLv1.0': {'spdx': ['AGPL-1.0']},
'AGPLv3.0': {'spdx': ['AGPL-3.0-or-later', 'AGPL-3.0-only', 'AGPL-3.0']},
'AcademicFreeLicense1.1': {'spdx': ['AFL-1.1']},
'AcademicFreeLicense1.2': {'spdx': ['AFL-1.2']},
'AcademicFreeLicense2.0': {'spdx': ['AFL-2.0']},
'AcademicFreeLicense2.1': {'spdx': ['AFL-2.1']},
'AcademicFreeLicense3.0': {'spdx': ['AFL-3.0']},
'Aladdin': {'spdx': ['Aladdin']},
'apache1.1': {'spdx': ['Apache-1.1']},
'apache1': {'spdx': ['Apache-1.0']},
'apache2': {'spdx': ['Apache-2.0']},
'apsl1': {'spdx': ['APSL-1.0']},
'apsl2': {'spdx': ['APSL-2.0']},
'ArtisticLicense': {'spdx': ['Artistic-1.0']},
'ArtisticLicense2': {'spdx': ['Artistic-2.0']},
'BerkeleyDB': {'spdx': ['Sleepycat']},
'bittorrent': {'spdx': ['BitTorrent-1.1']},
'boost': {'spdx': ['BSL-1.0']},
'ccby': {'spdx': ['CC-BY-4.0']},
'CC-BY-NC-1.0': {'spdx': ['CC-BY-NC-1.0']},
'CC-BY-NC-2.0': {'spdx': ['CC-BY-NC-2.0']},
'CC-BY-NC-2.5': {'spdx': ['CC-BY-NC-2.5']},
'CC-BY-NC-3.0': {'spdx': ['CC-BY-NC-3.0']},
'CC-BY-NC-4.0': {'spdx': ['CC-BY-NC-4.0']},
'CC-BY-ND-1.0': {'spdx': ['CC-BY-ND-1.0']},
'CC-BY-ND-2.0': {'spdx': ['CC-BY-ND-2.0']},
'CC-BY-ND-2.5': {'spdx': ['CC-BY-ND-2.5']},
'CC-BY-ND-3.0': {'spdx': ['CC-BY-ND-3.0']},
'CC-BY-ND-4.0': {'spdx': ['CC-BY-ND-4.0']},
'ccbysa': {'spdx': ['CC-BY-SA-4.0']},
'CC0': {'spdx': ['CC0-1.0']},
'CDDL': {'spdx': ['CDDL-1.0']},
'CPAL': {'spdx': ['CPAL-1.0']},
'CeCILL': {'spdx': ['CECILL-2.0']},
'CeCILL-B': {'spdx': ['CECILL-B']},
'CeCILL-C': {'spdx': ['CECILL-C']},
'ClarifiedArtistic': {'spdx': ['ClArtistic']},
'clearbsd': {'spdx': ['BSD-3-Clause-Clear']},
'CommonPublicLicense10': {'spdx': ['CPL-1.0']},
'cpol': {'spdx': ['CPOL-1.02']},
'Condor': {'spdx': ['Condor-1.1']},
'ECL2.0': {'spdx': ['ECL-2.0']},
'eCos11': {'spdx': ['RHeCos-1.1']},
'eCos2.0': {'spdx': ['GPL-2.0+ WITH eCos-exception-2.0', 'eCos-2.0']},
'EPL': {'spdx': ['EPL-1.0']},
'EPL2': {'spdx': ['EPL-2.0']},
'EUDataGrid': {'spdx': ['EUDatagrid']},
'EUPL-1.1': {'spdx': ['EUPL-1.1']},
'EUPL-1.2': {'spdx': ['EUPL-1.2']},
'Eiffel': {'spdx': ['EFL-2.0']},
'Expat': {'spdx': ['MIT']},
'FDLv1.1': {'spdx': ['GFDL-1.1-or-later', 'GFDL-1.1-only', 'GFDL-1.1']},
'FDLv1.2': {'spdx': ['GFDL-1.2-or-later', 'GFDL-1.2-only', 'GFDL-1.2']},
'FDLv1.3': {'spdx': ['GFDL-1.3-or-later', 'GFDL-1.3-only', 'GFDL-1.3']},
'FreeBSD': {'spdx': ['BSD-2-Clause-FreeBSD']},
'freetype': {'spdx': ['FTL']},
'GNUAllPermissive': {'spdx': ['FSFAP']},
'GNUGPLv3': {'spdx': ['GPL-3.0-or-later', 'GPL-3.0-only', 'GPL-3.0', 'GPL-3.0+']},
'gnuplot': {'spdx': ['gnuplot']},
'GPLv2': {'spdx': ['GPL-2.0-or-later', 'GPL-2.0-only', 'GPL-2.0', 'GPL-2.0+']},
'HPND': {'spdx': ['HPND']},
'IBMPL': {'spdx': ['IPL-1.0']},
'iMatix': {'spdx': ['iMatix']},
'imlib': {'spdx': ['Imlib2']},
'ijg': {'spdx': ['IJG']},
'intel': {'spdx': ['Intel']},
'IPAFONT': {'spdx': ['IPA']},
'ISC': {'spdx': ['ISC']},
'JSON': {'spdx': ['JSON']},
'LGPLv3': {'spdx': ['LGPL-3.0-or-later', 'LGPL-3.0-only', 'LGPL-3.0', 'LGPL-3.0+']},
'LGPLv2.1': {'spdx': ['LGPL-2.1-or-later', 'LGPL-2.1-only', 'LGPL-2.1', 'LGPL-2.1+']},
'LPPL-1.2': {'spdx': ['LPPL-1.2']},
'LPPL-1.3a': {'spdx': ['LPPL-1.3a']},
'lucent102': {'spdx': ['LPL-1.02']},
'ModifiedBSD': {'spdx': ['BSD-3-Clause']},
'MPL': {'spdx': ['MPL-1.1']},
'MPL-2.0': {'spdx': ['MPL-2.0']},
'ms-pl': {'spdx': ['MS-PL']},
'ms-rl': {'spdx': ['MS-RL']},
'NASA': {'spdx': ['NASA-1.3']},
'NCSA': {'spdx': ['NCSA']},
'newOpenLDAP': {'spdx': ['OLDAP-2.7']},
'Nokia': {'spdx': ['Nokia']},
'NoLicense': {'spdx': ['NONE']},
'NOSL': {'spdx': ['NOSL']},
'NPL-1.0': {'spdx': ['NPL-1.0']},
'NPL-1.1': {'spdx': ['NPL-1.1']},
'ODbl': {'spdx': ['ODbL-1.0']},
'oldOpenLDAP': {'spdx': ['OLDAP-2.3']},
'OpenPublicL': {'spdx': ['OPL-1.0']},
'OpenSSL': {'spdx': ['OpenSSL']},
'OriginalBSD': {'spdx': ['BSD-4-Clause']},
'OSL-1.0': {'spdx': ['OSL-1.0']},
'OSL-1.1': {'spdx': ['OSL-1.1']},
'OSL-2.0': {'spdx': ['OSL-2.0']},
'OSL-2.1': {'spdx': ['OSL-2.1']},
'OSL-3.0': {'spdx': ['OSL-3.0']},
'PHP-3.01': {'spdx': ['PHP-3.01']},
'Python2.0': {'spdx': ['Python-2.0']},
'QPL': {'spdx': ['QPL-1.0']},
'RPSL': {'spdx': ['RPSL-1.0']},
'Ruby': {'spdx': ['Ruby']},
'SGIFreeB': {'spdx': ['SGI-B-2.0']},
'SILOFL-1.0': {'spdx': ['OFL-1.0']},
'SILOFL-1.1': {'spdx': ['OFL-1.1']},
'SPL': {'spdx': ['SPL-1.0']},
'StandardMLofNJ': {'spdx': ['SMLNJ', 'StandardML-NJ']},
'Unlicense': {'spdx': ['Unlicense']},
'UPL': {'spdx': ['UPL-1.0']},
'Vim': {'spdx': ['Vim']},
'W3C': {'spdx': ['W3C']},
'Watcom': {'spdx': ['Watcom-1.0']},
'WTFPL': {'spdx': ['WTFPL']},
'X11License': {'spdx': ['X11']},
'XFree861.1License': {'spdx': ['XFree86-1.1']},
'xinetd': {'spdx': ['xinetd']},
'Yahoo': {'spdx': ['YPL-1.1']},
'Zend': {'spdx': ['Zend-2.0']},
'Zimbra': {'spdx': ['Zimbra-1.3']},
'ZLib': {'spdx': ['Zlib', 'Nunit']},
'Zope2.0': {'spdx': ['ZPL-2.0']},
'Zope2.1': {'spdx': ['ZPL-2.1']},
}
if __name__ == '__main__':
dir = os.curdir
if len(sys.argv) > 1:
dir = sys.argv[1]
tree = get(uri=URI)
root = tree.getroot()
licenses = extract(root=root, base_uri=URI)
unused_identifiers = {
key for key in IDENTIFIERS.keys() if key not in licenses}
if unused_identifiers:
raise ValueError('unused IDENTIFIERS keys: {}'.format(
', '.join(sorted(unused_identifiers))))
save(licenses=licenses, base_uri='https://wking.github.io/fsf-api/', dir=dir)
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
198,
2,
30628,
55,
12,
34156,
12,
33234,
7483,
25,
17168,
198,
198,
11748,
15095,
198,
11748,
340,
861,
10141,
198,
11748,
33918,
198,
11748,
28686,
198,
11748,
25064,
198,
1174... | 1.747017 | 4,609 |
# -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import unittest
from airflow.orm import DagBag
from airflow import models
from airflow import settings
from airflow.api.common.experimental.delete_dag import delete_dag
from airflow.exceptions import DagNotFound, DagFileExists
from airflow.operators.dummy_operator import DummyOperator
from airflow.utils.dates import days_ago
from airflow.utils.state import State
DM = models.DagModel
DS = models.DagStat
DR = models.DagRun
TI = models.TaskInstance
LOG = models.Log
if __name__ == '__main__':
unittest.main()
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
198,
2,
49962,
284,
262,
24843,
10442,
5693,
357,
1921,
37,
8,
739,
530,
198,
2,
393,
517,
18920,
5964,
11704,
13,
220,
4091,
262,
28536,
2393,
198,
2,
9387,
351,... | 3.639344 | 366 |
#!/usr/bin/env python
# remoteobj v0.4, best yet!
# TODO: This will get wrecked by recursive sets/lists/dicts; need a more picklish method.
# TODO: Dict/sets/lists should get unpacked to wrappers that are local for read-only access,
# but update the remote for write access. Note that __eq__ will be an interesting override.
import marshal
import struct
import socket
import sys, exceptions, errno, traceback
from types import CodeType, FunctionType
from os import urandom
from hashlib import sha1
DEBUG = False
class Proxy(object):
# GC isn't useful anyway...
"""
def __del__(self):
if object.__getattribute__(self, '_proxyparent') is not None: return
if not marshal or not struct or not socket: return # Reduce spurious messages when quitting python
object.__getattribute__(self, '_proxyconn').delete(self)
"""
# hash and repr need to be handled specially, due to hash(type) != type.__hash__()
# (and the same for repr). Incidentally, we'll cache the hash.
# Special methods don't always go through __getattribute__, so redirect them all there.
for special in ('__str__', '__lt__', '__le__', '__eq__', '__ne__', '__gt__', '__ge__', '__cmp__', '__rcmp__', '__nonzero__', '__unicode__', '__len__', '__getitem__', '__setitem__', '__delitem__', '__iter__', '__reversed__', '__contains__', '__getslice__', '__setslice__', '__delslice__', '__add__', '__sub__', '__mul__', '__floordiv__', '__mod__', '__divmod__', '__pow__', '__lshift__', '__rshift__', '__and__', '__xor__', '__or__', '__div__', '__truediv__', '__radd__', '__rsub__', '__rmul__', '__rdiv__', '__rtruediv__', '__rfloordiv__', '__rmod__', '__rdivmod__', '__rpow__', '__rlshift__', '__rrshift__', '__rand__', '__rxor__', '__ror__', '__iadd__', '__isub__', '__imul__', '__idiv__', '__itruediv__', '__ifloordiv__', '__imod__', '__ipow__', '__ilshift__', '__irshift__', '__iand__', '__ixor__', '__ior__', '__neg__', '__pos__', '__abs__', '__invert__', '__complex__', '__int__', '__long__', '__float__', '__oct__', '__hex__', '__index__', '__coerce__', '__enter__', '__exit__'):
exec "def {special}(self, *args, **kwargs):\n\treturn object.__getattribute__(self, '_proxyconn').callattr(self, '{special}', args, kwargs)".format(special=special) in None, None
# Note: must send after non-info_only packing, or objects will be left with +1 retain count in self.vended
# Define a function on the remote side. Its __globals__ will be
# the local client-side func.__globals__ filtered to the keys in
# func_globals, underlaid with the remote server-side globals()
# filtered to the keys in remote_globals. None is a special value
# for the filters, and disables any filtering.
__all__ = [Connection,]
# For demo purposes.
if __name__ == "__main__":
from sys import argv
if len(argv) <= 3:
print >> sys.stderr, "Usage:", argv[0], "server <address> <port> [<password>]"
print >> sys.stderr, " python -i", argv[0], "client <address> <port> [<password>]"
print >> sys.stderr, "In the client python shell, the server's module is available as 'proxy'"
print >> sys.stderr, "A good demo is `proxy.__builtins__.__import__('ctypes').memset(0,0,1)`"
exit(64)
hostport = (argv[2], int(argv[3]))
password = argv[4] if len(argv) > 4 else 'lol, python'
if argv[1] == 'server':
import SocketServer
SocketServer.TCPServer.allow_reuse_address = True
SocketServer.TCPServer(hostport, Server).serve_forever()
exit(1)
elif argv[1] == 'client':
connection = Connection(socket.create_connection(hostport), password)
proxy = connection.connectProxy()
print >> sys.stderr, "`proxy` and `connection` are available for you to play with at the interactive prompt."
else:
exit(64)
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
6569,
26801,
410,
15,
13,
19,
11,
1266,
1865,
0,
198,
2,
16926,
46,
25,
770,
481,
651,
44770,
416,
45115,
5621,
14,
20713,
14,
11600,
82,
26,
761,
257,
517,
2298,
1836,
2446,
... | 2.75997 | 1,354 |
from .voc import VOC
| [
6738,
764,
18893,
1330,
569,
4503,
198
] | 3 | 7 |
import pandas as pd
from unittest import mock
import fhirpipe.transform.dataframe as transform
from fhirpipe.analyze.attribute import Attribute
from fhirpipe.analyze.sql_column import SqlColumn
from fhirpipe.analyze.concept_map import ConceptMap
from fhirpipe.analyze.cleaning_script import CleaningScript
from fhirpipe.analyze.merging_script import MergingScript
from test.unit.conftest import mock_config, mock_api_get_maps
@mock.patch("fhirpipe.analyze.cleaning_script.scripts.get_script", return_value=mock_get_script)
@mock.patch("fhirpipe.analyze.concept_map.fhirpipe.global_config", mock_config)
@mock.patch("fhirpipe.analyze.concept_map.requests.get", mock_api_get_maps)
@mock.patch("fhirpipe.analyze.merging_script.scripts.get_script", return_value=mock_get_script)
| [
11748,
19798,
292,
355,
279,
67,
198,
6738,
555,
715,
395,
1330,
15290,
198,
198,
11748,
277,
71,
343,
34360,
13,
35636,
13,
7890,
14535,
355,
6121,
198,
6738,
277,
71,
343,
34360,
13,
38200,
2736,
13,
42348,
1330,
3460,
4163,
198,
... | 2.847273 | 275 |
import sdi_utils.gensolution as gs
import sdi_utils.set_logging as slog
import sdi_utils.textfield_parser as tfp
import pandas as pd
import numpy as np
try:
api
except NameError:
inports = [{'name': 'inData', 'type': 'message.DataFrame'}, {'name': 'inCoef', 'type': 'message.DataFrame'}]
outports = [{'name': 'log', 'type': 'string'}, {'name': 'output', 'type': 'message.DataFrame'}]
api.set_port_callback([inports[0]['name'], inports[1]['name']], call_on_input)
| [
11748,
264,
10989,
62,
26791,
13,
70,
641,
2122,
355,
308,
82,
198,
11748,
264,
10989,
62,
26791,
13,
2617,
62,
6404,
2667,
355,
25801,
198,
11748,
264,
10989,
62,
26791,
13,
5239,
3245,
62,
48610,
355,
256,
46428,
198,
198,
11748,
... | 2.586957 | 184 |
message = "Hello Python World！"
print(message)
| [
20500,
796,
366,
15496,
11361,
2159,
171,
120,
223,
1,
198,
4798,
7,
20500,
8,
198
] | 2.9375 | 16 |
from django.shortcuts import render
from django.http import HttpResponse
from django.http import HttpResponseRedirect
import json
from django.http import JsonResponse
from urllib import urlencode
from urllib import quote
import requests
from django.template import RequestContext, loader
import re
from django.shortcuts import redirect
from django.views.decorators.csrf import csrf_exempt
from config import GENOMICSCOPE, GENOMIC_ID, testJ, INDENTIFIER,REPORT,testJson, ID_SRCRET_BASE64, redirect_uri, API_BASE, AUTH_BASE, CLIENT_ID, REDIRECT_URI, SCOPES
from whoosh.index import create_in, open_dir
from whoosh.fields import *
from whoosh.qparser import QueryParser
from whoosh.query import *
import os.path
import string
@csrf_exempt
@csrf_exempt
@csrf_exempt
@csrf_exempt
@csrf_exempt
| [
6738,
42625,
14208,
13,
19509,
23779,
1330,
8543,
198,
6738,
42625,
14208,
13,
4023,
1330,
367,
29281,
31077,
198,
6738,
42625,
14208,
13,
4023,
1330,
367,
29281,
31077,
7738,
1060,
198,
11748,
33918,
198,
6738,
42625,
14208,
13,
4023,
13... | 3.101167 | 257 |
"""SINDy-BVP Logic collection."""
# Import Python packages
import pickle
import warnings
# Third-Party Imports
from sklearn.model_selection import train_test_split
# Package Imports
from sindy_bvp.variables import DependentVariable, IndependentVariable
from sindy_bvp.library_builders import TermBuilder, NoiseMaker
from sindy_bvp.differentiators import BaseDifferentiator
from sindy_bvp.optimizers import GroupRegressor, SGTR
from sindy_bvp.analysis.plotter import Plotter
from sindy_bvp.groupers import PointwiseGrouper
class SINDyBVP:
"""Collection of all logic associated with SINDy-BVP."""
def __init__(self, file_stem: str, num_trials: int,
differentiator: BaseDifferentiator,
outcome_var: str,
noisemaker: NoiseMaker = None,
known_vars: list = None,
dep_var_name: str = 'u',
ind_var_name: str = 'x'):
"""Initialize the attributes from parameters.
Keyword arguments:
file_stem --
num_trials --
differentiator --
outcome_var --
noisemaker --
known_vars --
dep_var_name --
ind_var_name --
"""
self.file_stem = file_stem
self.num_trials = num_trials
self.differentiator = differentiator
self.outcome_var = outcome_var
self.noisemaker = noisemaker
self.known_vars = known_vars
self.dv_name = dep_var_name
self.iv_name = ind_var_name
def sindy_bvp(self, report_results: bool = False):
"""Execute the core logic of SINDy-BVP.
Keyword argument:
report_results -- boolean if results should be printed.
Returns:
coeffs -- a dictionary containing key-np.ndarray pairs of
the terms with nonzero coefficients
pltr - a Plotter instance for generating analysis plots.
"""
# Step 1. Load in the data
x_vector, ode_sols, forcings, sl_coeffs = self.load_data()
# Step 2. Split data into testing and training
# I've put a warning catch here because train_test_split will give
# a future warning about test size being complement of train size
# which is desired in our case and not worth warning the user about
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
data_split = train_test_split(ode_sols, forcings,
train_size=self.num_trials,
random_state=0)
# Random state is set to 0 for consistency
sol_train, sol_test, f_train, f_test = data_split
# Step 3. Build DataFrames containing data from each trial
dfs = self.build_dataframes(sol_train, f_train)
# Step 4. Prepare regression
# Create the group regressor (Uses SGTR regression function above)
aggregator = PointwiseGrouper(lhs_term=self.outcome_var)
self.groupreg = GroupRegressor(aggregator, dfs, self.iv_name,
sgtr=SGTR())
# Step 5. Execute group regression
self.groupreg.group_regression(known_vars=self.known_vars)
if report_results:
self.groupreg.report_learning_results()
# Step 6. Return learned coefficients and Plotter instance
# which can generate analysis plots.
coeffs = self.groupreg.return_coefficients()
# Construct a plotter object with groupreg (which stores results)
pltr = Plotter(groupreg=self.groupreg,
x_vector=x_vector,
true_coeffs=sl_coeffs,
dependent_variable=self.dv_name,
ode_sols=sol_train,
is_sturm_liouville=True,
show_legends=False)
return coeffs, pltr
def load_data(self):
"""Load in the saved data based on the provided file stem.
Returns:
x_vector -- the vector of x values used ([0,0.01,...,10])
ode_sols -- the solutions to BVP given different forcings
forcings -- the forcings used for the ode solutions
sl_coeffs -- the true coefficients used for the BVP model
"""
x_vector = pickle.load(open(self.file_stem + "x.pickle", "rb"))
ode_sols = pickle.load(open(self.file_stem + "sols.pickle", "rb"))
forcings = pickle.load(open(self.file_stem + "fs.pickle", "rb"))
sl_coeffs = pickle.load(open(self.file_stem + "coeffs.pickle", "rb"))
return x_vector, ode_sols, forcings, sl_coeffs
def build_dataframes(self, ode_sols: list, used_fs: list):
"""Build dataframes containing evaluated symbolic functions.
Keyword arguments:
ode_sols -- the differential equation solutions to use
used_fs -- the corresponding forcing functions for the solutions
Returns:
dataframes -- a list of dataframes containing the evaluated
symbolic functions generated from each trial.
"""
# Create empty lists to house the stacked theta's and u's
dataframes = []
# Create the dataframes
for sol, f in zip(ode_sols, used_fs):
# Prepare independent variable
x_data = sol.t
x = IndependentVariable(self.iv_name, x_data, poly_deg=0)
# And prepare the dependent variable
signal = sol.y[0]
if self.noisemaker is not None:
signal = self.noisemaker.apply_noise(signal)
u = DependentVariable(self.dv_name, signal, nonlinear_deg=5)
# TermBuilder instance builds dataframe from the trial data
tb = TermBuilder([x], [u], self.differentiator)
# Inject the forcing function into the dataframe
tb.register_custom_term("f", f)
# build_library_terms method computes symbolic functions for all
# functions in the library and the outcome variable matrices at
# all spatial coordinates in the system
dataframe = tb.build_library_terms(lhs_term=self.outcome_var)
# Add the dataframe to dataframes list
dataframes.append(dataframe)
# Return the dataframes
return dataframes
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45... | 2.320574 | 2,717 |
#INSERTION SORT - PART 2
#!/bin/python3
import math
import os
import random
import re
import sys
# Complete the insertionSort2 function below.
if __name__ == '__main__':
n = int(input())
arr = list(map(int, input().rstrip().split()))
insertionSort2(n, arr)
#INSERTION SORT - PART 2
#!/bin/python3
import math
import os
import random
import re
import sys
# Complete the insertionSort1 function below.
if __name__ == '__main__':
n = int(input())
arr = list(map(int, input().rstrip().split()))
insertionSort1(n, arr)
#RECURSIVE DIGIT SUM
#!/bin/python3
import math
import os
import random
import re
import sys
# Complete the superDigit function below.
if __name__ == '__main__':
fptr = open(os.environ['OUTPUT_PATH'], 'w')
nk = input().split()
n = nk[0]
k = int(nk[1])
result = superDigit(n, k)
fptr.write(str(result) + '\n')
fptr.close()
#VIRAL ADVERTISING
#!/bin/python3
import math
import os
import random
import re
import sys
# Complete the viralAdvertising function below.
if __name__ == '__main__':
fptr = open(os.environ['OUTPUT_PATH'], 'w')
n = int(input())
result = viralAdvertising(n)
fptr.write(str(result) + '\n')
fptr.close()
#NUMBER LINE JUMPS
#!/bin/python3
import math
import os
import random
import re
import sys
# Complete the kangaroo function below.
if __name__ == '__main__':
fptr = open(os.environ['OUTPUT_PATH'], 'w')
x1V1X2V2 = input().split()
x1 = int(x1V1X2V2[0])
v1 = int(x1V1X2V2[1])
x2 = int(x1V1X2V2[2])
v2 = int(x1V1X2V2[3])
result = kangaroo(x1, v1, x2, v2)
fptr.write(result + '\n')
fptr.close()
#BIRTHDAY CAKE CANDLES
#!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'birthdayCakeCandles' function below.
#
# The function is expected to return an INTEGER.
# The function accepts INTEGER_ARRAY candles as parameter.
#
if __name__ == '__main__':
fptr = open(os.environ['OUTPUT_PATH'], 'w')
candles_count = int(input().strip())
candles = list(map(int, input().rstrip().split()))
result = birthdayCakeCandles(candles)
fptr.write(str(result) + '\n')
fptr.close()
#POLYNOMIALS
import numpy
print(numpy.polyval(numpy.array(input().split(),float),int(input())))
#INNER AND OUTER
import numpy
a=numpy.array([input().split()], int)
b=numpy.array([input().split()], int)
print (int(numpy.inner(a,b)))
print (numpy.outer(a,b))
#DOT AND CROSS
import numpy
n=int(input())
a=numpy.array([input().split() for _ in range (n)],int)
b=numpy.array([input().split() for _ in range (n)], int)
print(numpy.dot(a,b))
#MEAN, VAR AND STD
import numpy
n,m=map(int,input().split())
arr=numpy.array([input().split() for _ in range (n)], int)
numpy.set_printoptions(sign=' ')
numpy.set_printoptions(legacy='1.13')
print (numpy.mean(arr, axis=1))
print (numpy.var(arr, axis=0))
print (numpy.std(arr, axis= None))
#MIN AND MAX
import numpy
n,m=map(int,input().split())
arr=numpy.array([input().split() for _ in range (n)], int)
minimum=numpy.min(arr, axis=1)
print(numpy.max(minimum))
#SUM AND PROD
import numpy
n,m=map(int,input().split())
arr=numpy.array([input().split() for _ in range (n)], int)
somma=numpy.sum(arr, axis=0)
print (numpy.prod(somma))
#FLOOR, CEIL AND RINT
import numpy
a=numpy.array(input().split(), float)
numpy.set_printoptions(sign=' ')
print(numpy.floor(a))
print(numpy.ceil(a))
print(numpy.rint(a))
#ARRAY MATHEMATICS
import numpy
n,m=map(int,input().split())
a=numpy.array([input().split() for i in range(n)],dtype=int)
b=numpy.array([input().split() for i in range(n)],dtype=int)
print (a+b)
print (a-b)
print (a*b)
print (a//b)
print (a%b)
print (a**b)
#EYE AND IDENTITY
import numpy
n,m=map(int,input().split())
print (str(numpy.eye(n,m,k=0)).replace('1',' 1').replace('0',' 0'))
#ZEROS AND ONES
import numpy
num = tuple(map(int, input().split()))
print (numpy.zeros(num, dtype = numpy.int))
print (numpy.ones(num, dtype = numpy.int))
#CONCATENATE
import numpy
n,m,p=map(int,input().split())
arr1 = numpy.array([input().split() for _ in range(n)],int)
arr2 = numpy.array([input().split() for _ in range(m)],int)
print(numpy.concatenate((arr1, arr2), axis = 0))
#TRANSPOSE AND FLATTEN
import numpy
n, m = map(int, input().split())
mat = numpy.array([input().strip().split() for _ in range(n)], int)
trans=numpy.transpose(mat)
print (trans)
print (mat.flatten())
#SHAPE AND RESHAPE
import numpy
print (numpy.reshape(numpy.array(input().split(),int),(3,3)))
#ARRAYS
#DECORATORS 2 - NAME DIRECTORY
#STANDARDIZE MOBILE NUMBER USING DECORATORS
#XML2 - FIND THE MAXIMUM DEPTH
maxdepth = 0
#XML1 - FIND THE SCORE
k=[]
#MATRIX SCRIPT
#!/bin/python3
import math
import os
import random
import re
import sys
x,y = list(map(int,input().split()))
rows =[input() for i in range(x)]
text = "".join([row[i] for i in range(y) for row in rows])
text = re.sub('([A-Za-z1-9])[^A-Za-z1-9]+([A-Za-z1-9])', r'\1 \2', text)
text = re.sub(' ', ' ', text)
print(text)
first_multiple_input = input().rstrip().split()
n = int(first_multiple_input[0])
m = int(first_multiple_input[1])
matrix = []
for _ in range(n):
matrix_item = input()
matrix.append(matrix_item)
#VALIDATING POSTAL CODES
regex_integer_in_range = r"^[1-9][\d]{5}$" # Do not delete 'r'.
regex_alternating_repetitive_digit_pair = r"(\d)(?=\d\1)" # Do not delete 'r'.
#VALIDATING UID
# Enter your code here. Read input from STDIN. Print output to STDOUT
import re
for _ in range(int(input())):
u = ''.join(sorted(input()))
try:
assert re.search(r'[A-Z]{2}', u)
assert re.search(r'\d\d\d', u)
assert not re.search(r'[^a-zA-Z0-9]', u)
assert not re.search(r'(.)\1', u)
assert len(u) == 10
except:
print('Invalid')
else:
print('Valid')
#DETECT HTML TAGS, ATTRIBUTES AND ATTRIBUTE VALUES
# Enter your code here. Read input from STDIN. Print output to STDOUT
from html.parser import HTMLParser
html = '\n'.join([input() for _ in range(int(input()))])
parser = MyHTMLParser()
parser.feed(html)
parser.close()
#HTML PARSER - PART 2
from html.parser import HTMLParser
import re
html = ""
for i in range(int(input())):
html += input().rstrip()
html += '\n'
parser = MyHTMLParser()
parser.feed(html)
parser.close()
#HTML PARSER - PART 1
# Enter your code here. Read input from STDIN. Print output to STDOUT
from html.parser import HTMLParser
html = ""
for i in range(int(input())):
html += input()
parser = MyHTMLParser()
parser.feed(html)
parser.close()
#HEX COLOR CODE
# Enter your code here. Read input from STDIN. Print output to STDOUT
import re
reg = re.compile(r"(:|,| +)(#[abcdefABCDEF1234567890]{3}|#[abcdefABCDEF1234567890]{6})\b")
n = int(input())
for i in range(n):
line = input()
items = reg.findall(line)
if items:
for item in items:
print( item[1] )
#VALIDATING AND PARSING EMAIL ADDRESSES
# Enter your code here. Read input from STDIN. Print output to STDOUT
import re
import email.utils
pattern = re.compile(r"^[a-zA-Z][\w\-.]*@[a-zA-Z]+\.[a-zA-Z]{1,3}$")
for _ in range(int(input())):
u_name, u_email = email.utils.parseaddr(input())
if pattern.match(u_email):
print(email.utils.formataddr((u_name, u_email)))
#VALIDATING PHONE NUMBERS
# Enter your code here. Read input from STDIN. Print output to STDOUT
import re
n= int(input())
for i in range(n):
if (re.search(r"^[789]\d{9}$",input())):
print ('YES')
else:
print ('NO')
#VALIDATING ROMAN NUMERALS
regex_pattern = r"^(?=[MDCLXVI])M{0,3}(CM|CD|D?C{0,3})(XC|XL|L?X{0,3})(IX|IV|V?I{0,3})$" # Do not delete 'r'.
#REGEX SUBSTITUTION
## Enter your code here. Read input from STDIN. Print output to STDOUT
import re
N = int(input())
for i in range(N):
print (re.sub(r'(?<= )(&&|\|\|)(?= )', lambda x: 'and' if x.group() == '&&' else 'or', input()))
#RE.START() & RE.END()
# Enter your code here. Read input from STDIN. Print output to STDOUT
import re
S = input()
k = input()
pattern = re.compile(k)
r = pattern.search(S)
if not r: print ("(-1, -1)")
while r:
print ("({0}, {1})".format(r.start(), r.end() - 1))
r = pattern.search(S,r.start() + 1)
#RE.FINDALL() & RE.FINDITER()
# Enter your code here. Read input from STDIN. Print output to STDOUT
import re
consonanti = 'qwrtypsdfghjklzxcvbnm'
vocali = 'aeiou'
match = re.findall(r'(?<=['+consonanti+'])(['+vocali+']{2,})(?=['+consonanti+'])',input(),flags = re.I)
if match:
for i in match:
print (i)
else:
print (-1)
#GROUP(), GROUPS() & GROUPDICT()
# Enter your code here. Read input from STDIN. Print output to STDOUT
import re
m = re.search(r'([A-Za-z0-9])\1+',input())
if m:
print (m.group(1))
else:
print (-1)
#RE.SPLIT()
regex_pattern = r"[,.]" # Do not delete 'r'.
#DETECT FLOATING POINT NUMBER
# Enter your code here. Read input from STDIN. Print output to STDOUT
import re
for i in range(int(input())):
k = input()
print (bool(re.match(r'^[+-]?\d*?\.{1}\d+$',k)))
#GINORTS
# Enter your code here. Read input from STDIN. Print output to STDOUT
low=[]
upper=[]
odd=[]
even=[]
for i in sorted(input()):
if i.isalpha():
x = upper if i.isupper() else low
else:
x = odd if int(i)%2 else even
x.append(i)
print("".join(low+upper+odd+even))
#ATHLETE SORT
#!/bin/python3
import math
import os
import random
import re
import sys
if __name__ == '__main__':
nm = input().split()
n = int(nm[0])
m = int(nm[1])
arr = []
for _ in range(n):
arr.append(list(map(int, input().rstrip().split())))
k = int(input())
s = sorted(arr, key = lambda x: x[k])
for i in range(n):
print (str.join(' ', map(str, s[i])))
#ZIPPED!
# Enter your code here. Read input from STDIN. Print output to STDOUT
n,x= list(map(int,input().split()))
C=[]
for i in range (x):
C.append(list(map(float, input().split())))
for j in list(zip(*C)):
print (sum(j)/len(j))
#PILING UP!
# Enter your code here. Read input from STDIN. Print output to STDOUT
from collections import defaultdict,deque
T = int(input())
D = defaultdict(list)
for i in range(T):
k = input()
D[i].append(list(map(int,input().split())))
for y in D:
l = D[y][0].index(min(D[y][0]))
if ordAsc(D[y][0][l:]):
print ('Yes')
else:
print ('No')
#COLLECTIONS.DEQUE()
# Enter your code here. Read input from STDIN. Print output to STDOUT
from collections import deque
d = deque()
for i in range(int(input())):
com = input().split()
if com[0]=='append':
d.append(int(com[1]))
elif com[0]=='appendleft':
d.appendleft(int(com[1]))
elif com[0]=='pop':
d.pop()
else:
d.popleft()
for i in (d):
print (i,end=' ')
#WORD ORDER
# Enter your code here. Read input from STDIN. Print output to STDOUT
import collections;
N = int(input())
d = collections.OrderedDict()
for i in range(N):
word = input()
if word in d:
d[word] +=1
else:
d[word] = 1
print(len(d))
for k,v in d.items():
print(v,end = " ")
#COLLECTIONS.ORDEREDDICT()
# Enter your code here. Read input from STDIN. Print output to STDOUT
from collections import OrderedDict
N = int(input());
d = OrderedDict();
for i in range(N):
item = input().split()
itemPrice = int(item[-1])
itemName = " ".join(item[:-1])
if(d.get(itemName)):
d[itemName] += itemPrice
else:
d[itemName] = itemPrice
for i in d.keys():
print(i, d[i])
#COLLECTIONS.NAMEDTUPLE()
# Enter your code here. Read input from STDIN. Print output to STDOUT
from collections import namedtuple
n = int(input())
col = input()
a = 0
student = namedtuple("student", col)
for i in range (n):
stud = student._make(input().split())
a += int(stud.MARKS)
print ("{:.2f}".format(a/n))
#DEFAULTDICT TUTORIAL
# Enter your code here. Read input from STDIN. Print output to STDOUT
from collections import defaultdict
n, m = map(int, input().split())
d = defaultdict(lambda: -1)
for i in range(1, n+1):
word = input()
d[word] = d[word] + ' ' + str(i) if word in d else str(i)
for _ in range(m):
print(d[input()])
#EXCEPTIONS
for test in range(int(input())):
try:
a,b = map(int,input().split())
division_result = a // b
print(division_result)
except ZeroDivisionError as e:
print("Error Code:", e)
except ValueError as e:
print("Error Code:", e)
#COLLECTIONS.COUNTER()
# Enter your code here. Read input from STDIN. Print output to STDOUT
from collections import Counter
X = int(input())
shoes = [int(val) for val in input().split()]
N = int(input())
shoe_collection = Counter(shoes)
total_money = 0
for i in range(N):
size, money = [int(val) for val in input().split()]
if shoe_collection.get(size):
total_money += money
shoe_collection[size] -= 1
print(total_money)
#CHECK STRICT SUPERSET
# Enter your code here. Read input from STDIN. Print output to STDOUT
set_A = set(input().split())
n= int(input())
cnt = 0
check = True
for _ in range(n):
if not set_A.issuperset(set(input().split())):
check = False
break
print(check)
#CHECK SUBSET
# Enter your code here. Read input from STDIN. Print output to STDOUT
test_case=int(input())
for _ in range(test_case):
line_1, line_2 = int(input()), set(input().split())
line_3, line_4 = int(input()), set(input().split())
print(line_2.issubset(line_4))
#THE CAPTAIN'S ROOM
# Enter your code here. Read input from STDIN. Print output to STDOUT
k = input()
set_a= set()
set_b= set()
for room in (input().split()):
if room not in set_a:
set_a.add(room)
else:
set_b.add(room)
set_a.difference_update(set_b)
print(set_a.pop())
#SET MUTATIONS
# Enter your code here. Read input from STDIN. Print output to STDOUT
n=int(input())
a=set(map(int,input().split()))
m=int(input())
for _ in range (m):
com=(input().split())
s=set(map(int,input().split()))
if com[0]=='intersection_update':
a.intersection_update(s)
elif com[0]=='update':
a.update(s)
elif com[0]=='symmetric_difference_update':
a.symmetric_difference_update(s)
elif com[0]=='difference_update':
a.difference_update(s)
print (sum(map(int,a)))
#SET .SYMMETRIC_DIFFERENCE() OPERATION
# Enter your code here. Read input from STDIN. Print output to STDOUT
n =int(input())
e=set(input().split())
m=int(input())
f=set(input().split())
tot=len(e.symmetric_difference(f))
print (tot)
#SET .DIFFERENCE() OPERATION
# Enter your code here. Read input from STDIN. Print output to STDOUT
n =int(input())
e=set(input().split())
m=int(input())
f=set(input().split())
tot=len(e.difference(f))
print (tot)
#SET .INTERSECTION() OPERATION
# Enter your code here. Read input from STDIN. Print output to STDOUT
n =int(input())
e=set(input().split())
m=int(input())
f=set(input().split())
tot=len(e.intersection(f))
print (tot)
#SET .UNION() OPERATION
# Enter your code here. Read input from STDIN. Print output to STDOUT
n =int(input())
e=set(input().split())
m=int(input())
f=set(input().split())
tot=len(e.union(f))
print (tot)
#SET .DISCARD(), .REMOVE() & .POP()
n = int(input())
s = set(map(int, input().split()))
N = int(input())
for _ in range(N):
x = input().split()
if len(x) == 1:
s.pop()
elif x[0] == 'remove':
try:
s.remove(int(x[1]))
except:
next
elif x[0] == 'discard':
s.discard(int(x[1]))
print(sum(s))
#MAP AND LAMBDA FUNCTION
cube = lambda x: x*x*x# complete the lambda function
#SET .ADD()
# Enter your code here. Read input from STDIN. Print output to STDOUT
n=int(raw_input())
stamps=set(raw_input() for i in range (n))
tot=len(stamps)
print tot
#NO IDEA!
# Enter your code here. Read input from STDIN. Print output to STDOUT
n_m = map(int,raw_input().split())
n = map(int, raw_input().split())
A = set(map(int, raw_input().split()))
B = set(map(int, raw_input().split()))
happiness = 0
for i in n:
if i in A:
happiness += 1
elif i in B:
happiness -= 1
print happiness
#SYMMETRIC DIFFERENCE
# Enter your code here. Read input from STDIN. Print output to STDOUT
M = int(raw_input())
set_M = set(map(int,raw_input().split()))
N = int(raw_input())
set_N = set(map(int,raw_input().split()))
diff = (set_M.difference(set_N)).union(set_N.difference(set_M))
for i in sorted(list(diff)):
print i
#INTRODUCTION TO SETS
#CALENDAR MODULE
# Enter your code here. Read input from STDIN. Print output to STDOUT
import calendar
import calendar
k = map(int,raw_input().split())
m = calendar.weekday(k[2],k[0],k[1])
w = ['MONDAY','TUESDAY','WEDNESDAY','THURSDAY','FRIDAY','SATURDAY','SUNDAY']
print w[m]
#MERGE THE TOOLS!
#THE MINION GAME
#CAPITALIZE!
# Complete the solve function below.
#ALPHABET RANGOLI
#STRING FORMATTING
#DESIGNER DOOR MAT
# Enter your code here. Read input from STDIN. Print output to STDOUT
N, M = map(int,raw_input().split())
for i in xrange(0,N/2):
print ('.|.'*i).rjust((M-2)/2,'-')+'.|.'+('.|.'*i).ljust((M-2)/2,'-')
print 'WELCOME'.center(M,'-')
for i in reversed(xrange(0,N/2)):
print ('.|.'*i).rjust((M-2)/2,'-')+'.|.'+('.|.'*i).ljust((M-2)/2,'-')
#TEXT WRAP
#TEXT ALIGNMENT
# Enter your code here. Read input from STDIN. Print output to STDOUT
thickness = int(input()) # This must be an odd number
c = 'H'
# Top Cone
for i in range(thickness):
print((c * i).rjust(thickness - 1) + c + (c * i).ljust(thickness - 1))
# Top Pillars
for i in range(thickness + 1):
print((c * thickness).center(thickness * 2) + (c * thickness).center(thickness * 6))
# Middle Belt
for i in range((thickness + 1) // 2):
print((c * thickness * 5).center(thickness * 6))
# Bottom Pillars
for i in range(thickness + 1):
print((c * thickness).center(thickness * 2) + (c * thickness).center(thickness * 6))
# Bottom Cone
for i in range(thickness):
print(((c * (thickness - i - 1)).rjust(thickness) + c + (c * (thickness - i - 1)).ljust(thickness)).rjust(thickness * 6))
#STRING VALIDATORS
if __name__ == '__main__':
s = raw_input()
print (any(c.isalnum() for c in s))
print (any(c.isalpha() for c in s))
print (any(c.isdigit() for c in s))
print (any(c.islower() for c in s))
print (any(c.isupper() for c in s))
#FIND A STRING
#MUTATIONS
#WHAT'S YOUR NAME?
#STRING SPLIT AND JOIN
#SWAP CASE
#TUPLES
if __name__ == '__main__':
n = int(raw_input())
integer_list = map(int, raw_input().split())
t = tuple(integer_list)
print(hash(t))
#LISTS
if __name__ == '__main__':
N = int(raw_input())
lista = []
for i in range(N):
option = raw_input().split()
if option[0] == 'print':
print(lista)
elif option[0] == 'sort':
lista.sort()
elif option[0] == 'remove':
lista.remove(int(option[1]))
elif option[0] == 'append':
lista.append(int(option[1]))
elif option[0] == 'insert':
lista.insert(int(option[1]),int(option[2]))
elif option[0] == 'reverse':
lista.reverse()
elif option[0] == 'pop':
lista.pop()
#VALIDATING CREDIT CARD NUMBERS
# Enter your code here. Read input from STDIN. Print output to STDOUT
import re
for i in range(int(raw_input())):
S = raw_input().strip()
pre_match = re.search(r'^[456]\d{3}(-?)\d{4}\1\d{4}\1\d{4}$',S)
if pre_match:
processed_string = "".join(pre_match.group(0).split('-'))
final_match = re.search(r'(\d)\1{3,}',processed_string)
print 'Invalid' if final_match else 'Valid'
else:
print 'Invalid'
#LINEAR ALGEBRA
# Enter your code here. Read input from STDIN. Print output to STDOUT
import numpy
n=int(raw_input())
m=[]
for i in range(n):
m.append(map(float,raw_input().split()))
print round(numpy.linalg.det(numpy.array(m)),2)
#FINDING THE PERCENTAGE
if __name__ == '__main__':
n = int(raw_input())
student_marks = {}
for _ in range(n):
line = raw_input().split()
name, scores = line[0], line[1:]
scores = map(float, scores)
student_marks[name] = scores
query_name = raw_input()
l=list(student_marks[query_name])
length=len(l)
s=sum(l)
average=s/length
print('%.2f'%average)
#LIST COMPREHENSIONS
if __name__ == '__main__':
x = int(raw_input())
y = int(raw_input())
z = int(raw_input())
n = int(raw_input())
result=[[i,j,k] for i in range (x+1) for j in range (y+1) for k in range (z+1) if (i+j+k!=n)]
print (result)
#NESTED LISTS
from __future__ import print_function
score_list = {}
for _ in range(input()):
name = raw_input()
score = float(raw_input())
if score in score_list:
score_list[score].append(name)
else:
score_list[score] = [name]
new_list = []
for i in score_list:
new_list.append([i, score_list[i]])
new_list.sort()
result = new_list[1][1]
result.sort()
print (*result, sep = "\n")
#FIND THE RUNNER-UP SCORE!
if __name__ == '__main__':
n = int(raw_input())
arr = map(int, raw_input().split())
s1 = max(arr)
s2 = -9999999999
for i in range(n):
if arr[i] != s1 and arr[i] > s2:
s2 = arr[i]
print s2
#COMPRESS THE STRING!
# Enter your code here. Read input from STDIN. Print output to STDOUT
from __future__ import print_function
from itertools import *
for i,j in groupby(map(int,list(raw_input()))):
print(tuple([len(list(j)), i]) ,end = " ")
#COMPANY LOGO
# Enter your code here. Read input from STDIN. Print output to STDOUT
S = raw_input()
letters = [0]*26
for letter in S:
letters[ord(letter)-ord('a')] += 1
for _ in range(3):
max_letter = max(letters)
for index in range(26):
if max_letter == letters[index]:
print chr(ord('a')+index), max_letter
letters[index] = -1
break
#PRINT FUNCTION
from __future__ import print_function
if __name__ == '__main__':
n = int(input())
for i in range (n):
print (i+1,end="")
#WRITE A FUNCTION
#LOOPS
if __name__ == '__main__':
n = int(raw_input())
for i in range (n) :
if i<n:
print (i*i)
#PYTHON: DIVISION
from __future__ import division
if __name__ == '__main__':
a = int(raw_input())
b = int(raw_input())
print (a//b)
print (a/b)
#ARITHMETIC OPERATORS
if __name__ == '__main__':
a = int(raw_input())
b = int(raw_input())
print (a+b)
print (a-b)
print (a*b)
#PYTHON IF-ELSE
#!/bin/python
import math
import os
import random
import re
import sys
if __name__ == '__main__':
n = int(raw_input().strip())
if n in range (2,5):
if n%2==0:
print ("Not Weird")
else: print ("Weird")
elif n in range (6,20):
#if n%2==0:
#print ("Not Weird")
#else: print ("Weird")
print ("Weird")
elif n > 20:
if n%2==0:
print ("Not Weird")
else: print ("Weird")
else : print ("Weird")
#SAY "HELLO, WORLD!" WITH PYTHON
if __name__ == '__main__':
print "Hello, World!"
#SOLVE ME FIRST
num1 = int(input())
num2 = int(input())
res = solveMeFirst(num1,num2)
print(res)
| [
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... | 2.166358 | 11,337 |
import json
from termcolor import colored
from dcplib.component_entities import EntityBase
class Project(EntityBase):
"""
Model an Ingest Project entity
"""
@classmethod
@classmethod
@property
@property
@property
@property
@property
@property
"""
Yields [name, role]
for contributors that have a role
"""
class SubmissionEnvelope(EntityBase):
"""
Model an Ingest Submission Envelope entity
"""
UNPROCESSED_STATUSES = ['Invalid', 'Draft', 'Valid', 'Pending', 'Validating']
@classmethod
@classmethod
@property
@property
@property
@property
@property
@property
def project(self):
""" Assumes only one project """
projects = self.projects()
if len(projects) != 1:
raise RuntimeError(f"Expect 1 project got {len(projects)}")
return projects[0]
def upload_credentials(self):
""" Return upload area credentials or None if this envelope doesn't have an upload area yet """
staging_details = self.data.get('stagingDetails', None)
if staging_details and 'stagingAreaLocation' in staging_details:
return staging_details.get('stagingAreaLocation', {}).get('value', None)
return None
def bundle_count(self):
"""An optimized version of bundle counting, using the fact that the HAL API returns
'totalElements' in the first response.
"""
bundle_manifest_url = self.data['_links']['bundleManifests']['href']
data = self.api.get(bundle_manifest_url)
return data['page']['totalElements']
class File:
"""
Model an Ingest File entity
"""
@property
@property
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#!/usr/bin/python
import numpy as np
import time
import matplotlib.pyplot as plt
import random
NUM = 30
if __name__ == '__main__':
XX,YY,dx,dy = gen_lattice(1.0,1.0,NUM)
vmin = 0.0
vmax = 2.0
#start = 2.0*np.exp(-10.0*(np.power(XX-0.5,2)+np.power(YY-0.5,2)))
start = np.zeros((NUM,NUM))
for j in range(2000):
start[random.randrange(0,NUM-1,1)][random.randrange(0,NUM-1,1)] = random.random()+1
fig, ax = plt.subplots()
im = ax.imshow(start,origin='lower',vmin=vmin,vmax=vmax)
step = start
for i in range(600):
step = update(step,0.0004,dx,dy)
ax.cla()
im = ax.imshow(step,origin='lower',vmin=vmin,vmax=vmax)
ax.set_title("frame {}".format(i))
plt.pause(0.0001) | [
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... | 1.936869 | 396 |
# mathematical imports -
import numpy as np
from matplotlib import pyplot as plt
from sklearn import metrics
from math import sqrt
import seaborn as sns
sns.set()
import torch
# load network imports -
import os
import sys
sys.path.insert(0, '/Users/chanaross/dev/Thesis/MachineLearning/forGPU/')
from CNN_LSTM_NeuralNet_LimitZerosV2 import Model
def createEventDistributionUber(previousEventMatrix, my_net, eventTimeWindow, startTime, endTime):
"""
this function calculates future events based on cnn lstm network
:param previousEventMatrix: event matrix of previous events
:param my_net: learned network
:param eventTimeWindow: time each event is opened (for output)
:param startTime: start time from which events are created
:param endTime: end time to create events (start and end time define the output sequence length)
:return: eventPos, eventTimeWindow, outputEventMat
"""
# previousEventMatrix is of size: [seq_len, x_size, y_size]
if endTime - startTime == 0: # should output one prediction
out_seq = 1
else:
out_seq = endTime - startTime
x_size = previousEventMatrix.shape[1]
y_size = previousEventMatrix.shape[2]
netEventOut = torch.zeros([out_seq, x_size, y_size])
for seq in range(out_seq):
tempEventMat = previousEventMatrix
input = getInputMatrixToNetwork(previousEventMatrix, my_net.cnn_input_dimension)
k = 0
for x in range(x_size):
for y in range(y_size): # calculate output for each grid_id
testOut = my_net.forward(input[:, :, :, :, k])
_, netEventOut[seq, x, y] = torch.max(torch.exp(testOut.data), 1)
k += 1
previousEventMatrix[0:-1, :, :] = tempEventMat[1:, :, :]
previousEventMatrix[-1, :, :] = netEventOut[seq, :, :]
# in the end netEventOut is a matrix of size [out_seq_len, size_x, size_y]
eventPos = []
eventTimes = []
for t in range(out_seq):
for x in range(x_size):
for y in range(y_size):
numEvents = netEventOut[t, x, y]
# print('at loc:' + str(x) + ',' + str(y) + ' num events:' + str(numEvents))
#for n in range(numEvents):
if numEvents > 0:
eventPos.append(np.array([x, y]))
eventTimes.append(t+startTime)
eventsPos = np.array(eventPos)
eventTimes = np.array(eventTimes)
eventsTimeWindow = np.column_stack([eventTimes, eventTimes + eventTimeWindow])
return eventsPos, eventsTimeWindow, netEventOut.detach().numpy()
if __name__ == '__main__':
main()
print('Done.') | [
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3... | 2.457379 | 1,091 |
#!/usr/bin/env python
import chainercv
# import cv2
import fcis
from fcis.datasets.coco import COCOInstanceSegmentationDataset
import numpy as np
from train import get_keep_indices
from train import remove_zero_bbox
if __name__ == '__main__':
main()
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14... | 2.784946 | 93 |
import zlib
import io
from .datatypes import *
from .utils import *
class TypeString:
"""Representation of `qtype`."""
def __getitem__(self, x):
"""Index/slice typestring"""
if isinstance(x, slice):
if x.step is not None:
raise NotImplementedError(
"Type string slice does not handle stepping")
if x.stop is None:
return self._typestring[self._pos + x.start:]
else:
return self._typestring[self._pos + x.start:self._pos + x.stop]
return self._typestring[self._pos + x]
def __len__(self):
"""Get the length of the typestring"""
return len(self._typestring) - self._offset
def __iadd__(self, n):
"""Increment stream position"""
self._pos += n
return self
def seek(self, n):
""" ptr+=n """
self._pos += n
def get(self):
""" ptr_copy = ptr """
return TypeString(self._typestring, self._pos)
def peek_db(self, pos=0):
""" u8 val = *(u8*)ptr """
return self[pos]
def read_db(self, pos=0):
""" u8 val = *(u8*)ptr++"""
data = self[pos]
self.seek(1)
return data
def read_dt(self):
""" Reads 1 to 2 bytes.
Value Range: 0-0xFFFE
Usage: 16bit numbers
Returns:
int: Arbitrary value.
"""
val = self.read_db()
if val & 0x80:
val = ((val & 0x7f) | (self.read_db() << 7))
return val - 1
def read_de(self):
""" Reads 1 to 5 bytes
Value Range: 0-0xFFFFFFFF
Usage: Enum Deltas
Returns:
int: Delta value
"""
val = 0
while True:
b = self.read_db()
hi = val << 6
sign = (b & 0x80)
if not sign:
lo = b & 0x3f
else:
lo = 2 * hi
hi = b & 0x7f
val = lo | hi
if not sign:
break
return val
def read_da(self):
""" Reads 1 to 9 bytes.
ValueRange: 0x-0x7FFFFFFF, 0-0xFFFFFFFF
Usage: Arrays
Returns:
(bool, int, int): Status, number of elements, and base.
"""
a = 0
b = 0
da = 0
base = 0
nelem = 0
while True:
c = self.peek_db()
if c & 0x80 == 0:
break
self.seek(1)
da = (da << 7) | c & 0x7f
b += 1
if b >= 4:
z = self.peek_db()
if z != 0:
base = 0x10 * da | z & 0xf
nelem = (self.read_db() >> 4) & 7
while True:
c = self.peek_db()
if (c & 0x80) == 0:
break
self.seek(1)
nelem = (nelem << 7) | c & 0x7f
a += 1
if a >= 4:
return True, nelem, base
return False, nelem, base
@staticmethod
class TypeInfo:
"""Representation of tinfo_t."""
@staticmethod
class TypeData:
"""Represents the serialized type data."""
def get_name(self):
""" Get the name for this type.
Returns:
str: Type name.
"""
return self._name.decode("ascii")
def get_ordinal(self):
""" Get the type's ordinal/value.
Returns:
int: Ordinal or value for symbols.
"""
return self._ordinal
def get_type_string(self):
""" Get the serialized type info string.
Returns:
TypeString: Serialized type info string.
"""
return self._typestr
def get_fields(self):
""" Get the serialized field name p-list.
Returns:
TypeString: Serialized field names.
"""
return self._fields
def get_field_comments(self):
""" Get the serialized field comments p-list.
Returns:
TypeString: Serialized field comments.
"""
return self._fieldcmts
def get_comment(self):
""" Get the serialized comment p-list.
Returns:
TypeString: Serialized comments.
"""
return self._cmt
def set_type_info(self, tinfo):
""" Set TypeInfo object.
Args:
tinfo (TypeInfo): Input type info object.
"""
self._tinfo = tinfo
def get_type_info(self):
""" Get TypeInfo object.
Returns:
TypeInfo: Type info object.
"""
return self._tinfo
class Macro:
"""Represents a macro loaded from a bucket.
TODO: Should probably be merged with TypeData.
"""
# TIL values for `flags`
TIL_ZIP = 0x0001
TIL_MAC = 0x0002
TIL_ESI = 0x0004
TIL_UNI = 0x0008
TIL_ORD = 0x0010
TIL_ALI = 0x0020
TIL_MOD = 0x0040
TIL_STM = 0x0080
TIL_SLD = 0x0100
class TILBucket:
"""Handle's unpacking a single TIL bucket."""
def __iter__(self):
"""Yields a type from the type list.
Returns:
Union[TypeData,Macro]: Serialized type data.
"""
for typ in self._types:
yield typ
class TILHeader:
"""Parses the TIL header."""
class TIL:
"""Represents a single TIL file."""
def _read_header(self):
"""Read the TIL header."""
self._stream.seek(0)
self._header = TILHeader(self._stream)
def _read_buckets(self):
"""Read each bucket."""
self._syms = TILBucket(self._header.flag & 0xCF, self._stream)
self._types = TILBucket(self._header.flag, self._stream)
self._macros = TILBucket(self._header.flag & 0xCF, self._stream)
self._load_bucket(self._syms)
self._load_bucket(self._types)
self._load_macros(self._macros)
self._process_bucket(self._syms)
self._process_bucket(self._types)
def deserialize(self, typestr, fields, fieldcmts):
""" Deserialize a TypeString into a TypeInfo object.
Args:
typestr (TypeString): Input serialized type string.
fields (TypeString): Input serialized fields p-list.
fieldcmts (TypeString): Input serialized field comments p-list.
Returns:
TypeInfo: Output TypeInfo object.
"""
typ = typestr.peek_db()
base = typ & TYPE_BASE_MASK
flags = typ & TYPE_FLAGS_MASK
if base <= BT_LAST_BASIC:
typestr += 1
return TypeInfo(typ)
if base > BT_LAST_BASIC:
typedata = None
if base == BT_COMPLEX and flags != BTMT_TYPEDEF:
t = typestr.get()
t += 1
N = t.read_complex_n()
if N == 0:
typedata = TypedefTypeData()
typedata.name = t.read_pstring().decode("ascii")
# I don't like this, we're going to need to come up with a
# way to do this automatically
typestr += t.pos()
return TypeInfo.create_type_info(typ, typedata)
if base == BT_PTR:
typedata = PointerTypeData() \
.deserialize(self, typestr, fields, fieldcmts)
elif base == BT_ARRAY:
typedata = ArrayTypeData() \
.deserialize(self, typestr, fields, fieldcmts)
elif base == BT_FUNC:
typedata = FuncTypeData() \
.deserialize(self, typestr, fields, fieldcmts)
elif base == BT_COMPLEX:
if flags == BTMT_STRUCT or flags == BTMT_UNION:
typedata = UdtTypeData() \
.deserialize(self, typestr, fields, fieldcmts)
elif flags == BTMT_ENUM:
typedata = EnumTypeData() \
.deserialize(self, typestr, fields, fieldcmts)
elif flags == BTMT_TYPEDEF:
typedata = TypedefTypeData() \
.deserialize(self, typestr, fields, fieldcmts)
elif base == BT_BITFIELD:
typedata = BitfieldTypeData() \
.deserialize(self, typestr, fields, fieldcmts)
return TypeInfo.create_type_info(typ, typedata)
def serialize(self, tinfo, typestr):
""" Serialize a TypeInfo object into a TypeString.
Args:
tinfo (TypeInfo): Input TypeInfo object.
typestr (TypeString): Output TypeString.
"""
typ = tinfo.get_decl_type()
base = typ & TYPE_BASE_MASK
if base <= BT_LAST_BASIC:
typestr.append_db(typ)
return
if base > BT_LAST_BASIC:
details = tinfo.get_type_details()
if details is not None:
details.serialize(self, tinfo, typestr)
def get_header(self):
""" Get header information.
Returns:
TILHeader: The header information.
"""
return self._header
def get_syms(self):
""" Get the symbol bucket.
Returns:
TILBucket: The symbol bucket.
"""
return self._syms
def get_types(self):
""" Get the type bucket.
Returns:
TILBucket: The type bucket.
"""
return self._types
def get_macros(self):
""" Get the macro bucket.
Returns:
TILBucket: The macro bucket.
"""
return self._macros
def get_named_type(self, name, is_type):
""" Get named typeinfo.
Args:
name (str): The name of the type.
is_type (bool): True if this is a type and otherwise for symbols.
Returns:
TypeData: The serialized type data.
"""
bucket = self._types if is_type else self._syms
for type_data in bucket.get_types():
if name == type_data.get_name():
return type_data
return None
| [
11748,
1976,
8019,
198,
11748,
33245,
198,
6738,
764,
19608,
265,
9497,
1330,
1635,
198,
6738,
764,
26791,
1330,
1635,
628,
198,
4871,
5994,
10100,
25,
198,
220,
220,
220,
37227,
40171,
341,
286,
4600,
80,
4906,
63,
526,
15931,
628,
2... | 1.93919 | 5,213 |
# -*- mode: python; encoding: utf-8 -*-
#
# Copyright 2012 Jens Lindström, Opera Software ASA
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.
from subprocess import Popen as process, PIPE
from sys import argv, stderr, exit
import re
from dbutils import find_file, describe_file
import gitutils
import syntaxhighlight
import syntaxhighlight.request
from diffutils import expandWithContext
from htmlutils import htmlify, jsify
from time import strftime
import diff
import diff.analyze
import diff.parse
import diff.merge
import load
import dbutils
import client
| [
2,
532,
9,
12,
4235,
25,
21015,
26,
21004,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
198,
2,
15069,
2321,
449,
641,
9329,
2536,
9101,
76,
11,
26049,
10442,
49599,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
... | 3.646048 | 291 |
# -*- coding: utf-8 -*-
"""
Defines the the logger object to track execution
Logs are stored into logs/emotion_YYYY-mm-dd.log files
Default logger level is set to INFO, use --logger-level DEBUG tag
to get more information about execution trace.
To setup logger :
>>> from log import stetup_custom_logger
>>> logger = setup_custom_logger()
To log log into file :
>>> logger.info("my first log message")
Content of logs/emotion_YYYY-mm-dd.log
> YYYY-mm-dd HH:MM:SS,sss - INFO - <module> - my first message
"""
import logging
import time
import os
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
7469,
1127,
262,
262,
49706,
2134,
284,
2610,
9706,
198,
198,
11187,
82,
389,
8574,
656,
17259,
14,
368,
9650,
62,
26314,
26314,
12,
3020,
12,
1860,
13,
64... | 3.118644 | 177 |
###############################################################################
## Jesse Engreitz
## September 29, 2021
import pybedtools
from pybedtools import BedTool
import pandas as pd
import numpy as np
import argparse
from pandas.io.parsers import read_table
from Bio.SeqFeature import FeatureLocation
from collections import OrderedDict
from Bio import SeqUtils
from itertools import product
from random import sample
###############################################
##############################################
##############################################
if __name__ == '__main__':
args = parseargs()
main(args)
| [
29113,
29113,
7804,
4242,
21017,
198,
2235,
18033,
1985,
260,
4224,
198,
2235,
2693,
2808,
11,
33448,
198,
198,
11748,
12972,
3077,
31391,
198,
6738,
12972,
3077,
31391,
1330,
15585,
25391,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748... | 4.28 | 150 |
from lib.types import *
from lib.graph import *
from lib.command import *
from lib.parser import *
import inspect
import os
import doctest
import sys
def parser_tests():
'''
>>> variable.parseString('?a', parseAll=True)[0]
?a
>>> literal.parseString('1.0', parseAll=True)[0]
1.0
>>> literal.parseString('1', parseAll=True)[0]
1
>>> print literal.parseString('"abc"', parseAll=True)[0]
"abc"
>>> expression.parseString(':a :b 3 .', parseAll=True)[0]
:a :b 3 .
>>> expression.parseString('?a <http://www.example.com> abc:def .', parseAll=True)[0]
?a ( <http://www.example.com> abc:def )
>>> [s for s in expression.parseString('<a> a <b> ; <c> <d>, <e> .', parseAll=True)]
[<a> rdf:type <b> ; <c> <d>, <e> .]
>>> expression.parseString('@reinit', parseAll=True)[0]
@reinit
>>> expression.parseString('@draw <test.png>', parseAll=True)[0]
@draw <test.png>
>>> expression.parseString('@import <test.ttl>', parseAll=True)[0]
@import <test.ttl>
>>> expression.parseString('@load <test.xml>', parseAll=True)[0]
@load <test.xml>
>>> expression.parseString('?a = :a :b 3 .', parseAll=True)[0]
?a = :a :b 3 .
>>> expression.parseString('@prefix ex: <http://www.example.com/example#> .', parseAll=True)[0]
@prefix ex: <http://www.example.com/example#>
>>> expression.parseString('@for ?obj in (1 <a> ?x b:c "five") { <a> <b> ?obj . }', parseAll=True)[0]
@for ?obj in ( 1 <a> ?x b:c "five" ) <a> <b> ?obj .
>>> expression.parseString('@out', parseAll=True)[0]
@out
>>> expression.parseString('@out <test.ttl>', parseAll=True)[0]
@out <test.ttl>
>>> expression.parseString('@reinit', parseAll=True)[0]
@reinit
>>> expression.parseString('@base <abc.org>', parseAll=True)[0]
@base <abc.org>
>>> expression.parseString('<a> <b> true .', parseAll=True)[0]
<a> <b> true .
>>> expression.parseString('<a> <b> false .', parseAll=True)[0]
<a> <b> false .
>>> expression.parseString('?a :b :c ; :d :e .', parseAll=True)[0]
?a :b :c ; :d :e .
'''
def w3_tests():
'''
>>> g = Graph()
>>> g.parse(text='@import <test.nt>')
1
>>> g.reinit()
>>> for i in range(14):
... uri = 'http://www.w3.org/2001/sw/DataAccess/df1/tests/test-%s.ttl' % str(i).zfill(2)
... p = g.parse(text='@import <%s> .' % uri)
... assert(p == 1)
>>> g.parse(text='@import <http://www.w3.org/2001/sw/DataAccess/df1/tests/rdfs-namespace.ttl>')
1
>>> g.parse(text='@import <http://www.w3.org/2001/sw/DataAccess/df1/tests/manifest.ttl>')
1
'''
def graph_tests():
'''
>>> g = Graph()
>>> g.execute(Statement(Uri('node1'), [(QUri('p:node2'), [Uri('node3'), Uri('node4')])]))
>>> g.statements
{<node1>: {p:node2: set([<node3>, <node4>])}}
>>> prefix = PrefixCommand(prefix='ex', uri=Uri('http://www.example.com/example#'))
>>> g.execute(prefix)
>>> g.prefixes
{'rdf': <http://www.w3.org/1999/02/22-rdf-syntax-ns#>, 'ex': <http://www.example.com/example#>}
>>> str(Uri('http://www.example.com/example#sample').apply_prefix(g))
'ex:sample'
>>> try: os.remove('test.png')
... except OSError: pass
>>> os.path.exists('test.png')
False
>>> g.draw('test.png')
>>> os.path.exists('test.png')
True
>>> g.parse(text='@load <test.xml>')
1
>>> g.parse(text='@import <test.bvr>')
1
>>> g.parse(text='<a> a <b>, <c> .')
1
>>> g.reinit()
>>> g.parse(text='@load <http://www.nexml.org/nexml/examples/trees.rdf>')
1
>>> sorted([str(s) for s in g.statements.keys()])[:5]
['<http://example.org/e1>', '<http://example.org/e2>', '<http://example.org/e3>', '<http://example.org/e4>', '<http://example.org/e5>']
>>> g.reinit()
>>> g.parse(text='@for ?x in (1 2 3 4 5) { <a> <b> ?x . }')
1
>>> g.statements[Uri('a')][Uri('b')]
set([1, 2, 3, 4, 5])
>>> g.parse(text="?cat ?name = { ?name a example:cat . <ben> <has_cat> ?name . }")
1
>>> g.parse(text="@for ?name in (<whiskers> <socks> <oreo>) ?cat ?name .")
1
>>> g.statements[Uri('ben')][Uri('has_cat')]
set([<socks>, <whiskers>, <oreo>])
>>> g.reinit()
>>> g.parse(text='?a ?b = { <things> <not_a_one> ?b } . ?a 1 = { <things> <is_a_one> 1 } .')
2
>>> g.parse(text='@for ?x in (1 2 <bob> "1") ?a ?x .')
1
>>> g.statements[Uri('things')][Uri('is_a_one')]
set([1])
>>> g.statements[Uri('things')][Uri('not_a_one')]
set(["1", 2, <bob>])
>>> g.parse(text='@for ?x in (2 <bob> "1") @del <things> <not_a_one> ?x . @del <things> <is_a_one> 1 .')
2
>>> g.statements
{}
>>> g.base_uri is None
True
>>> g.parse(text='@base <http://www.example.org> .')
1
>>> g.base_uri
<http://www.example.org>
'''
if __name__ == '__main__':
if len(sys.argv) > 1:
verbose = eval(sys.argv[1])
else: verbose=False
run_tests(verbose=verbose)
| [
6738,
9195,
13,
19199,
1330,
1635,
198,
6738,
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1330,
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198,
6738,
9195,
13,
21812,
1330,
1635,
198,
6738,
9195,
13,
48610,
1330,
1635,
198,
11748,
10104,
198,
11748,
28686,
198,
11748,
10412,
395,
198,
11748,
25064,
... | 2.166522 | 2,306 |
"""Python 3 Unicode test."""
| [
37811,
37906,
513,
34371,
1332,
526,
15931,
628
] | 3.75 | 8 |
"""Represent the IPX800V5 base entity."""
from pypx800v5 import IPX800
from pypx800v5.const import EXTENSIONS, IPX
from voluptuous.util import Upper
from homeassistant.const import (
CONF_DEVICE_CLASS,
CONF_ENTITY_CATEGORY,
CONF_ICON,
CONF_ID,
CONF_NAME,
CONF_UNIT_OF_MEASUREMENT,
)
from homeassistant.helpers.device_registry import CONNECTION_NETWORK_MAC
from homeassistant.helpers.update_coordinator import (
CoordinatorEntity,
DataUpdateCoordinator,
)
from homeassistant.util import slugify
from .const import (
CONF_COMPONENT,
CONF_EXT_NAME,
CONF_EXT_NUMBER,
CONF_EXT_TYPE,
CONF_IO_NUMBER,
CONF_IO_NUMBERS,
CONF_TRANSITION,
DEFAULT_TRANSITION,
DOMAIN,
)
class IpxEntity(CoordinatorEntity):
"""Representation of a IPX800 generic device entity."""
def __init__(
self,
device_config: dict,
ipx: IPX800,
coordinator: DataUpdateCoordinator,
suffix_name: str = None,
device_name: str = None,
) -> None:
"""Initialize the device."""
super().__init__(coordinator)
self.ipx = ipx
self._transition = int(
device_config.get(CONF_TRANSITION, DEFAULT_TRANSITION) * 1000
)
self._component = device_config[CONF_COMPONENT]
self._ext_type = device_config[CONF_EXT_TYPE]
self._ext_number = device_config.get(CONF_EXT_NUMBER)
self._io_number = device_config.get(CONF_IO_NUMBER)
self._io_numbers = device_config.get(CONF_IO_NUMBERS, [])
self._io_id = device_config.get(CONF_ID)
self._attr_name: str = device_config[CONF_NAME]
if suffix_name:
self._attr_name = f"{self._attr_name} {suffix_name}"
self._attr_device_class = device_config.get(CONF_DEVICE_CLASS)
self._attr_native_unit_of_measurement = device_config.get(
CONF_UNIT_OF_MEASUREMENT
)
self._attr_icon = device_config.get(CONF_ICON)
self._attr_entity_category = device_config.get(CONF_ENTITY_CATEGORY)
self._attr_unique_id = "_".join(
[DOMAIN, self.ipx.host, self._component, slugify(self._attr_name)]
)
if device_name:
self._device_name = device_name
elif self._ext_type == IPX:
self._device_name = coordinator.name
else:
self._device_name = device_config.get(
CONF_EXT_NAME, f"{Upper(self._ext_type)} N°{self._ext_number}"
)
configuration_url = f"http://{self.ipx.host}:{self.ipx.port}/"
self._attr_device_info = {
"identifiers": {(DOMAIN, slugify(self._device_name))},
"default_name": self._device_name,
"manufacturer": "GCE Electronics",
"via_device": (DOMAIN, slugify(coordinator.name)),
"configuration_url": configuration_url,
}
if self._ext_type in EXTENSIONS:
self._attr_device_info.update({"model": Upper(self._ext_type)})
else:
self._attr_device_info.update({"model": "IPX800 V5"})
if self._ext_type == IPX:
self._attr_device_info.update(
{
"sw_version": self.ipx.firmware_version,
"connections": {(CONNECTION_NETWORK_MAC, self.ipx.mac_address)},
}
)
| [
37811,
40171,
262,
6101,
55,
7410,
53,
20,
2779,
9312,
526,
15931,
198,
6738,
279,
4464,
87,
7410,
85,
20,
1330,
6101,
55,
7410,
198,
6738,
279,
4464,
87,
7410,
85,
20,
13,
9979,
1330,
27489,
16938,
11053,
11,
6101,
55,
198,
6738,
... | 2.090062 | 1,610 |
# generic, util
import click
import logging
from pathlib import Path
import random
# website download and parsing
import json
import requests
from bs4 import BeautifulSoup
from lxml.html.soupparser import fromstring
# reading and writing files
import sys
import csv
import os
import pandas as pd
#
# Classify posts
#
# presentation: pres_type
# * fullscreen
# * regular
# * leftright
# * album
#
# description type: desc_type
# * caption
# * paragraph
#
# simple and pragmatic approach
# enumerate blog posts by the day in relation to a reference date
# default: the tour start
#
# A rather generic function
# to encapsulate the concrete one
#############################################
# Main
#############################################
@click.command()
@click.argument('post_file',
type=click.Path(exists=True, dir_okay=False) )
@click.argument('blog_file',
type=click.Path(exists=False, dir_okay=False, writable=True) )
@click.argument('blog_date',
type=click.DateTime(formats=['%Y-%m-%d']) )
@click.option('--no-filter', '-f', required=False, is_flag=True,
help='Do not filter <post_file> entries by <blog_date>.')
def blogpost(post_file, blog_file, blog_date, no_filter):
"""Creates a blog post file
\b
<post_file> Filepath containing all relevant information for each Instagram post.
<blog_file> Filepath containing the blog post, usually a .md markdown file.
<blog_date> Blog entry date [YYYY-MM-DD]; only <post_file> entries matching the date will be included.
You may disable the date filtering using -f switch.
The blog post file will then contain all <post_file> entries.
"""
logger = logging.getLogger(__file__)
logger.info('Start creating blog post')
blog_date = pd.to_datetime(blog_date).date().strftime('%Y-%m-%d')
post_info_df = load_post_info(post_file, blog_date, no_filter)
post_entry_df = create_post_entries(post_info_df)
post_frontmatter = create_post_frontmatter(post_info_df, blog_date)
store_blog(blog_file, post_frontmatter, post_entry_df)
if len(post_frontmatter) < 1:
logger.info('No blog post created.')
else:
logger.info('Blog post created.')
pass
#############################################
# Entry
#############################################
if __name__ == '__main__':
log_fmt = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
logging.basicConfig(level=logging.INFO, format=log_fmt)
# not used in this stub but often useful for finding various files
project_dir = Path(__file__).resolve().parents[2]
# start the crawler
blogpost()
| [
2,
14276,
11,
7736,
198,
11748,
3904,
198,
11748,
18931,
198,
6738,
3108,
8019,
1330,
10644,
198,
11748,
4738,
198,
198,
2,
3052,
4321,
290,
32096,
198,
11748,
33918,
198,
11748,
7007,
198,
6738,
275,
82,
19,
1330,
23762,
50,
10486,
1... | 2.847046 | 948 |
import websocket
import thread
import json
import requests
import urllib
import wave
import audioop
from time import sleep
import StringIO
import struct
import sys
import codecs
from xml.etree import ElementTree
doItAgain = "yes" #Control While loop
#End GetToken
#End GetTextAndTranslate()
if __name__ == "__main__":
finalToken = GetToken()
while (doItAgain == 'yes') or (doItAgain == 'Yes'):
GetTextAndTranslate(finalToken)
print ' '
doItAgain = raw_input('Type yes to translate more, any other key to end: ')
#end while
goodBye = raw_input('Thank you for using Microsoft Translator, we appreciate it. Good Bye')
#end main | [
11748,
2639,
5459,
198,
11748,
4704,
198,
11748,
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198,
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10903,
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198,
11748,
2878,
198,
11748,
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198,
... | 3.022422 | 223 |
__version__ = "3.9.0" | [
834,
9641,
834,
796,
366,
18,
13,
24,
13,
15,
1
] | 1.909091 | 11 |
# Numpy_functions
# (Own code)
# Why use Numpy?
# Because it's quicker (python libraries can be writen in C which can be much faster)
# It also makes the code much cleaner
# I still tried to recreate some Numpy function
# Dotproduct vector
# Transposition
# Dotproduct with matrices
# Adding vector
# Random (np.random.randn())
# Normal (gaussian) distribution with mean 0 and variance (1)
# and * 0.01 small enough to not affect training???
# Parameters are the dimension of the output matrix
# np.zeros() creates a matrix with the dimension being the parameters
# and all values being zero
# Numpy maximum (ReLU avtivation function)
# Sum function (axis=1)
# Highest value in a matrix (list wise)
# Average (mean)
# Clipping on both side
# Creating a list/array with steps
# Creating a array filled with zeros and the same shape
# Eye function: turning a list in one-hot vector
# Eye function but a vector as a diagonal
import random
print(random_binomial(1,0.2,10))
# Gives the absolute value back
# Gives the sign in return
# Calculates the standard deviation to the mean
| [
2,
399,
32152,
62,
12543,
2733,
201,
198,
201,
198,
2,
357,
23858,
2438,
8,
201,
198,
2,
4162,
779,
399,
32152,
30,
220,
201,
198,
2,
4362,
340,
338,
20061,
357,
29412,
12782,
460,
307,
1991,
268,
287,
327,
543,
460,
307,
881,
5... | 3.104558 | 373 |
# ----------------------------------------------------------------------------
# Copyright (c) 2016-2020, empress development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# ----------------------------------------------------------------------------
from empress.tree import validate_tree, bp_tree_tips
from empress.tools import (
match_inputs, match_tree_and_feature_metadata,
shifting, filter_feature_metadata_to_tree
)
from empress.compression_utils import (
remove_empty_samples_and_features, compress_table,
compress_sample_metadata, compress_feature_metadata
)
import pkg_resources
import os
import pandas as pd
from shutil import copytree
from emperor import Emperor
from jinja2 import Environment, FileSystemLoader
SUPPORT_FILES = pkg_resources.resource_filename('empress', 'support_files')
TEMPLATES = os.path.join(SUPPORT_FILES, 'templates')
EMPEROR_CALLBACK_PATH = os.path.join(SUPPORT_FILES, 'js',
'emperor-callbacks.js')
| [
2,
16529,
10541,
198,
2,
15069,
357,
66,
8,
1584,
12,
42334,
11,
795,
8439,
2478,
1074,
13,
198,
2,
198,
2,
4307,
6169,
739,
262,
2846,
286,
262,
40499,
347,
10305,
13789,
13,
198,
2,
198,
2,
383,
1336,
5964,
318,
287,
262,
2393... | 3.32622 | 328 |
"""
Используя цифры 1, 2, 3, 4, 5, 6, 7, 8, 9 по одному разу, составить два натуральных числа А и В,
таких, что A корень из B. Найти все решения.
"""
second_exercise()
| [
37811,
201,
198,
140,
246,
21727,
140,
123,
25443,
119,
45367,
140,
115,
35072,
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141,
226,
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352,
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11,
642,
11,
718,
11,
767,
11,
807,
11,
860,
12466,
123,
15166,
1... | 1.084337 | 166 |
import unittest
import numpy as np
from numpy.testing import assert_array_equal
from pixeldrift import Cells, tile_size
if __name__ == '__main__':
unittest.main()
| [
11748,
555,
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355,
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62,
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11,
17763,
62,
7857,
628,
198,
361,
11593,
3672,
834,
6624... | 2.913793 | 58 |
import sys
import json
import requests
from flask import Flask, jsonify
from flask import request
from tracing import init_tracer, flask_to_scope, parse_baggage
import opentracing
from opentracing_instrumentation.client_hooks import install_all_patches
from flask_opentracing import FlaskTracer
from flask_cors import CORS, cross_origin
app = Flask('garden-scorer')
init_tracer('garden-scorer')
CORS(app)
install_all_patches()
flask_tracer = FlaskTracer(opentracing.tracer, True, app)
@app.route("/flower_scorer", methods=['GET', 'POST'])
@cross_origin()
if __name__ == "__main__":
app.run(port=3004)
| [
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496... | 2.909953 | 211 |
import pytest
from os.path import join
from webtest.debugapp import debug_app
from restiro import DocumentationRoot, clean_examples_dir
from restiro.tests.helpers import package_dir, mockup_resources
examples_dir = join(package_dir, 'examples')
@pytest.fixture('session', autouse=True)
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... | 3.255556 | 90 |
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: run_params.proto
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
DESCRIPTOR = _descriptor.FileDescriptor(
name='run_params.proto',
package='run_params',
serialized_pb='\n\x10run_params.proto\x12\nrun_params\"\xa1\x02\n\nDataParams\x12\x17\n\tuse_delta\x18\x01 \x02(\x08:\x04true\x12\x45\n\rnormalization\x18\x02 \x02(\x0e\x32(.run_params.DataParams.NormalizationType:\x04\x43MVN\x12\x1d\n\x11num_frames_per_pt\x18\x03 \x02(\x05:\x02\x31\x35\x12$\n\x18num_output_frames_per_pt\x18\x04 \x01(\x05:\x02\x31\x35\x12 \n\x11smooth_alignments\x18\x05 \x01(\x08:\x05\x66\x61lse\"L\n\x11NormalizationType\x12\x07\n\x03\x43MN\x10\x00\x12\x08\n\x04\x43MVN\x10\x01\x12\x12\n\x0eGLOB_NORMALIZE\x10\x02\x12\x10\n\x0cNO_NORMALIZE\x10\x03\"\x82\x01\n\x06params\x12+\n\x0b\x64\x61ta_params\x18\x01 \x02(\x0b\x32\x16.run_params.DataParams\x12\x17\n\nbatch_size\x18\x02 \x02(\x05:\x03\x31\x32\x38\x12\x1a\n\x0emax_bad_epochs\x18\x03 \x02(\x05:\x02\x31\x30\x12\x16\n\nmax_epochs\x18\x04 \x02(\x05:\x02\x34\x30')
_DATAPARAMS_NORMALIZATIONTYPE = _descriptor.EnumDescriptor(
name='NormalizationType',
full_name='run_params.DataParams.NormalizationType',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='CMN', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CMVN', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='GLOB_NORMALIZE', index=2, number=2,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NO_NORMALIZE', index=3, number=3,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=246,
serialized_end=322,
)
_DATAPARAMS = _descriptor.Descriptor(
name='DataParams',
full_name='run_params.DataParams',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='use_delta', full_name='run_params.DataParams.use_delta', index=0,
number=1, type=8, cpp_type=7, label=2,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='normalization', full_name='run_params.DataParams.normalization', index=1,
number=2, type=14, cpp_type=8, label=2,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_frames_per_pt', full_name='run_params.DataParams.num_frames_per_pt', index=2,
number=3, type=5, cpp_type=1, label=2,
has_default_value=True, default_value=15,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_output_frames_per_pt', full_name='run_params.DataParams.num_output_frames_per_pt', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=15,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='smooth_alignments', full_name='run_params.DataParams.smooth_alignments', index=4,
number=5, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_DATAPARAMS_NORMALIZATIONTYPE,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=33,
serialized_end=322,
)
_PARAMS = _descriptor.Descriptor(
name='params',
full_name='run_params.params',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data_params', full_name='run_params.params.data_params', index=0,
number=1, type=11, cpp_type=10, label=2,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='batch_size', full_name='run_params.params.batch_size', index=1,
number=2, type=5, cpp_type=1, label=2,
has_default_value=True, default_value=128,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_bad_epochs', full_name='run_params.params.max_bad_epochs', index=2,
number=3, type=5, cpp_type=1, label=2,
has_default_value=True, default_value=10,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_epochs', full_name='run_params.params.max_epochs', index=3,
number=4, type=5, cpp_type=1, label=2,
has_default_value=True, default_value=40,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=325,
serialized_end=455,
)
_DATAPARAMS.fields_by_name['normalization'].enum_type = _DATAPARAMS_NORMALIZATIONTYPE
_DATAPARAMS_NORMALIZATIONTYPE.containing_type = _DATAPARAMS;
_PARAMS.fields_by_name['data_params'].message_type = _DATAPARAMS
DESCRIPTOR.message_types_by_name['DataParams'] = _DATAPARAMS
DESCRIPTOR.message_types_by_name['params'] = _PARAMS
# @@protoc_insertion_point(module_scope)
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1... | 2.27533 | 2,724 |
#!/usr/bin/env python3
from setuptools import setup
import setuptools
setup_dict = dict(
name="feititfy",
version="0.0.2a0",
author="cjsoft",
author_email="egwcyh@gmail.com",
description="Notify you using feishu custom bot by webhook",
long_description="""Notify you using feishu custom bot by webhook
Plese refer to project homepage to get usage introduction.""",
url="https://github.com/cjsoft/feitify",
python_requires=">=3.5",
packages=setuptools.find_packages(where=".", include=("feitify.*")),
scripts=["bin/feitify"],
install_requires=["requests"],
)
setup(**setup_dict)
| [
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198,... | 2.683761 | 234 |
import ldap
from .. import auth
# Required when using self-signed certificates.
ldap.set_option(ldap.OPT_X_TLS_REQUIRE_CERT, ldap.OPT_X_TLS_NEVER)
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173... | 2.396825 | 63 |
total = totmil = cont = menor = 0
barato = ''
while True:
produto = str(input('Nome do produto: '))
preco = float(input('Preço: R$ '))
cont += 1
total += preco
if preco > 1000:
totmil += 1
if cont == 1 or preco < menor:
barato = produto
menor = preco
resp = ' '
while resp not in 'SN':
resp = str(input('Quer continuar: [S/N] ')).upper().strip()[0]
if resp == 'N':
break
print('{:-^40}'.format(" Fim do programa "))
print(f'O total da compra foi R$ {total:.2f}')
print(f'Temos {totmil} produtos custando mais de R$1.000 ')
print(f'O produto mais barato foi {barato} que custa R${menor:.2f}')
# Meu código
# Faltou fazer o nome do produto mais barato
"""
nome_produto = str(input('Nome do produto: ')).strip()
preco_produto = float(input('Preço: '))
resp = 'S'
valor_total_produtos = 0
cont_preco = 0
while True:
if preco_produto > 1000.0:
cont_preco += 1
valor_total_produtos += preco_produto
resp = str(input('Quer continuar [S/N]: '))
if resp in 'Ss':
nome_produto = str(input('Nome do produto: ')).strip()
preco_produto = float(input('Preço: R$ '))
else:
break
print(f'Gasto total em compras: R${valor_total_produtos:.2f}')
print(f'{cont_preco} produtos custam acima de MIL Reais')
"""
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import sys
import traceback
from contextlib import suppress
from discord.ext.commands import * | [
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"""Support for monitoring juicenet/juicepoint/juicebox based EVSE sensors."""
from __future__ import annotations
from homeassistant.components.sensor import (
STATE_CLASS_MEASUREMENT,
SensorEntity,
SensorEntityDescription,
)
from homeassistant.const import (
DEVICE_CLASS_CURRENT,
DEVICE_CLASS_ENERGY,
DEVICE_CLASS_POWER,
DEVICE_CLASS_TEMPERATURE,
DEVICE_CLASS_VOLTAGE,
ELECTRIC_CURRENT_AMPERE,
ELECTRIC_POTENTIAL_VOLT,
ENERGY_WATT_HOUR,
POWER_WATT,
TEMP_CELSIUS,
TIME_SECONDS,
)
from .const import DOMAIN, JUICENET_API, JUICENET_COORDINATOR
from .entity import JuiceNetDevice
SENSOR_TYPES: tuple[SensorEntityDescription, ...] = (
SensorEntityDescription(
key="status",
name="Charging Status",
),
SensorEntityDescription(
key="temperature",
name="Temperature",
unit_of_measurement=TEMP_CELSIUS,
device_class=DEVICE_CLASS_TEMPERATURE,
state_class=STATE_CLASS_MEASUREMENT,
),
SensorEntityDescription(
key="voltage",
name="Voltage",
unit_of_measurement=ELECTRIC_POTENTIAL_VOLT,
device_class=DEVICE_CLASS_VOLTAGE,
),
SensorEntityDescription(
key="amps",
name="Amps",
unit_of_measurement=ELECTRIC_CURRENT_AMPERE,
device_class=DEVICE_CLASS_CURRENT,
state_class=STATE_CLASS_MEASUREMENT,
),
SensorEntityDescription(
key="watts",
name="Watts",
unit_of_measurement=POWER_WATT,
device_class=DEVICE_CLASS_POWER,
state_class=STATE_CLASS_MEASUREMENT,
),
SensorEntityDescription(
key="charge_time",
name="Charge time",
unit_of_measurement=TIME_SECONDS,
icon="mdi:timer-outline",
),
SensorEntityDescription(
key="energy_added",
name="Energy added",
unit_of_measurement=ENERGY_WATT_HOUR,
device_class=DEVICE_CLASS_ENERGY,
),
)
async def async_setup_entry(hass, config_entry, async_add_entities):
"""Set up the JuiceNet Sensors."""
juicenet_data = hass.data[DOMAIN][config_entry.entry_id]
api = juicenet_data[JUICENET_API]
coordinator = juicenet_data[JUICENET_COORDINATOR]
entities = [
JuiceNetSensorDevice(device, coordinator, description)
for device in api.devices
for description in SENSOR_TYPES
]
async_add_entities(entities)
class JuiceNetSensorDevice(JuiceNetDevice, SensorEntity):
"""Implementation of a JuiceNet sensor."""
def __init__(self, device, coordinator, description: SensorEntityDescription):
"""Initialise the sensor."""
super().__init__(device, description.key, coordinator)
self.entity_description = description
self._attr_name = f"{self.device.name} {description.name}"
@property
def icon(self):
"""Return the icon of the sensor."""
icon = None
if self.entity_description.key == "status":
status = self.device.status
if status == "standby":
icon = "mdi:power-plug-off"
elif status == "plugged":
icon = "mdi:power-plug"
elif status == "charging":
icon = "mdi:battery-positive"
else:
icon = self.entity_description.icon
return icon
@property
def state(self):
"""Return the state."""
return getattr(self.device, self.entity_description.key, None)
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... | 2.282523 | 1,522 |
import numpy as np
import matplotlib.pyplot as plt
from PyNomaly import loop
import pandas as pd
# import the multiple gaussian data #
df = pd.read_csv('../data/multiple-gaussian-2d-data-only.csv')
print(df)
# fit LoOP according to the original settings outlined in the paper #
m = loop.LocalOutlierProbability(df[['x', 'y']], n_neighbors=20, extent=3).fit()
scores = m.local_outlier_probabilities
print(scores)
# plot the results #
# base 3 width, then set as multiple
threshold = 0.1
color = np.where(scores > threshold, "white", "black")
label_mask = np.where(scores > threshold)
area = (20 * scores) ** 2
plt.scatter(df['x'], df['y'], c=color, s=area.astype(float), edgecolor='red', linewidth=1)
plt.scatter(df['x'], df['y'], c='black', s=3)
for i in range(len(scores)):
if scores[i] > threshold:
plt.text(df['x'].loc[i] * (1 + 0.01), df['y'].loc[i] * (1 + 0.01), round(scores[i], 2), fontsize=8)
plt.show()
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75... | 2.524457 | 368 |
"""
TENSIONS ON THE CABLE CAR TRANSPORTATION SYSTEM - This interactive web app
computes the cable tensions of the cable car system for a user defined axial
location of the carriage car
Created on Tue Jun 1 22:53:14 2021
@author: Ramsubramanian Pazhanisamy
"""
#################################
## IMPORTS ##
#################################
# general imports
import numpy as np
import sympy as sp
# bokeh imports
from bokeh.io import curdoc
from bokeh.plotting import figure
from bokeh.models import ColumnDataSource, Arrow, OpenHead, Range1d, TeeHead
from bokeh.models.glyphs import ImageURL
from bokeh.models.widgets import Button
from bokeh.layouts import column, row
# latex integration
import os
from os.path import dirname, join, split, abspath
import sys, inspect
currentdir = dirname(abspath(inspect.getfile(inspect.currentframe())))
parentdir = join(dirname(currentdir), "shared/")
sys.path.insert(0,parentdir)
from latex_support import LatexDiv, LatexLabelSet, LatexSlider
# ----------------------------------------------------------------- #
###################################################
## APP THEORETICAL DESCRIPTION ##
###################################################
#Theoretical description of the app in Latex
description_filename1 = join(dirname(__file__), "description1.html") #Part I of the description
description1 = LatexDiv(text=open(description_filename1).read(), render_as_text=False, width=1000)
description_filename2 = join(dirname(__file__), "description2.html") #Part II of the description
description2 = LatexDiv(text=open(description_filename2).read(), render_as_text=False, width=1000)
description_filename3 = join(dirname(__file__), "description3.html") #Part III of the description
description3 = LatexDiv(text=open(description_filename3).read(), render_as_text=False, width=1000)
#Figures_static
# Plot
#Kinematics of the cable car
kinematics_img=os.path.join(os.path.basename(os.path.dirname(__file__)), "static", "Kinematics.svg")
figure_kin = figure(height=235, width=298)
figure_kin.toolbar.logo = None # do not display the bokeh logo
figure_kin.toolbar_location = None # do not display the tools
figure_kin.x_range=Range1d(start=0, end=1)
figure_kin.y_range=Range1d(start=0, end=1)
figure_kin.xaxis.visible = None
figure_kin.yaxis.visible = None
figure_kin.xgrid.grid_line_color = None
figure_kin.ygrid.grid_line_color = None
figure_kin.toolbar.active_drag = None
figure_kin.toolbar.active_scroll = None
figure_kin.toolbar.active_tap = None
kinematics_src = ColumnDataSource(dict(url = [kinematics_img]))
figure_kin.image_url(url='url', x=0, y = 1, h=1, w=1, source=kinematics_src)
figure_kin.outline_line_alpha = 0
# Free boy diagram of the cable car
fbd_img=os.path.join(os.path.basename(os.path.dirname(__file__)), "static", "Free_Body_Diagram.svg")
figure_fbd = figure(height=385, width=450)
figure_fbd.toolbar.logo = None # do not display the bokeh logo
figure_fbd.toolbar_location = None # do not display the tools
figure_fbd.x_range=Range1d(start=0, end=1)
figure_fbd.y_range=Range1d(start=0, end=1)
figure_fbd.xaxis.visible = None
figure_fbd.yaxis.visible = None
figure_fbd.xgrid.grid_line_color = None
figure_fbd.ygrid.grid_line_color = None
figure_fbd.toolbar.active_drag = None
figure_fbd.toolbar.active_scroll = None
figure_fbd.toolbar.active_tap = None
fbd_src = ColumnDataSource(dict(url = [fbd_img]))
figure_fbd.image_url(url='url', x=0, y = 1, h=1, w=1, source=fbd_src)
figure_fbd.outline_line_alpha = 0
#################################
## INITIALIZATION ##
#################################
# Initial parameters & its limits
# Cable car dimensions & user inputs
H_max =525.0 #Verical distance between the supports (m) -H
H_min= 475.0
H=500.0
B_max=525.0 #Horizontal distance between the supports (m) -B
B_min=475.0
B=500.0
c_max=1.9 #Cable length stretch factor -c
c_min=1.00001
c=(c_min+c_max)/2
M_max=300.0 #Mass of the cable car - M (Kg)
M_min=200.0
M=250.0
x=0.55*B #Axial location of the cable car
D=np.sqrt(H*H+B*B) #Diagonal distance between the supports (m)
L=c*D #Length of the cable (m) - cable length should be always higher than the distance between the supports
W=M*9.81 #Weight of the car (N)
#Symbolic constants
theta1=sp.Symbol('theta1',real=True)
theta2=sp.Symbol('theta2',real=True)
#Kinematic equations
eq1= sp.Eq(((L-x/sp.cos(theta1))*sp.cos(theta2))+x-B,0)
eq2= sp.Eq(((x/sp.cos(theta1))*sp.sin(theta1))+((L-x/sp.cos(theta1))*sp.sin(theta2))-H,0)
#Solving the system of equations numerically
[t1,t2]=sp.nsolve((eq1,eq2),(theta1,theta2),(0.25,0.75))
#Effective angles on the Cable
theta_total1=float(t1) #Actual angle at S1 for a specific car position on the rope
theta_total2=float(t2) #Actual angle at S2 for a specific car position on the rope
Lx=x/np.cos(theta_total1) #Length of the bottom cable segement
#Tensions on the Cable
T1= W/(np.sin(theta_total2)-(np.cos(theta_total2)*np.sin(theta_total1)/np.cos(theta_total1)))*(np.cos(theta_total2)/np.cos(theta_total1)) # Cable tension in the bottom
T2= W/(np.sin(theta_total2)-(np.cos(theta_total2)*np.sin(theta_total1)/np.cos(theta_total1))) # Cable tension in the top
# ----------------------------------------------------------------- #
#################################
## CALLBACK FUNCTIONS ##
#################################
# Div to show tension and distance values
value_plot_distance_cable_length= LatexDiv(text="", render_as_text=False, width=400)
value_plot_angles = LatexDiv(text="", render_as_text=False, width=400)
value_plot_tensions = LatexDiv(text="", render_as_text=False, width=400)
#Display the results
#Slider change call back function for H, c, M, X
#Slider change call back function for B
#Call back function for reset button
# ----------------------------------------------------------------- #
####################################
## SLIDERS & BUTTONS ##
####################################
#Sliders
#Vertical Distance between the supports
H_slider = LatexSlider(title="\\text{Vertical distance between supports (H)}=", value_unit="\\text{m}", value=H, start=H_min, end=H_max, step=1.0, width=400, css_classes=["slider"])
H_slider.on_change('value',slider_cb_fun) # callback function is called when value changes
#Horizontal Distance between the supports
B_slider = LatexSlider(title="\\text{Horizontal distance between supports (B)}=", value_unit="\\text{m}", value=B, start=B_min, end=B_max, step=1.0, width=400, css_classes=["slider"])
B_slider.on_change('value',slider_cb_fun_b) # callback function is called when value changes
#Cable length stretch factor to compute the length of the cable from the distance between the supports
c_slider=LatexSlider(title="\\text{Cable length stretch factor (c = L/D)=}", value=float("{:.5f}".format((c))), start=c_min, end=c_max, step=0.005, width=400, css_classes=["slider"])
c_slider.on_change('value',slider_cb_fun) # callback function is called when value changes
#Mass carried by the cable car container
M_slider = LatexSlider(title="\\text{Mass carried by the system (M)}=", value_unit="\\text{Kg}", value=M, start=M_min, end=M_max, step=1.0, width=400, css_classes=["slider"])
M_slider.on_change('value',slider_cb_fun) # callback function is called when value changes
#Axial location of the carriage
X_slider = LatexSlider(title="\\text{Horizontal location of the carriage (X)}=", value_unit="\\text{m}", value=int(0.55*B_slider.value), start=int(0.2*B_slider.value), end=int(0.9*B_slider.value), step=1.0, width=400, css_classes=["slider"])
X_slider.on_change('value',slider_cb_fun) # callback function is called when value changes
#Reset Button
button_width = 400
Reset_button=Button(label='Reset', button_type='success', width=button_width)
Reset_button.on_click(callback_reset)
# ----------------------------------------------------------------- #
####################################
## ANIMATED PLOT ##
####################################
# Plot
plot = figure(title="", tools="", x_range=(-150,B+200), y_range=(min(-200,Lx * np.sin(theta_total1)-320),H+150),aspect_scale=2.0)
plot.plot_height=700
plot.plot_width=850
plot.toolbar.logo = None
plot.axis.axis_label_text_font_style="normal"
plot.axis.axis_label_text_font_size="14pt"
plot.axis.major_label_text_font_size="14pt"
plot.xaxis.axis_label='x (m)'
plot.yaxis.axis_label='y (m)'
plot.outline_line_width=1.5
plot.outline_line_color="#333333"
plot.outline_line_alpha=0.9
#Column Data Sources definition
# Support source
support_source_bottom = ColumnDataSource(dict(x = [0], y = [0+10.0] , src = [os.path.join(os.path.basename(os.path.dirname(__file__)), "static", "fixed_support.svg")]))
support_source_top = ColumnDataSource(dict(x = [B], y = [H+5.0] , src = [os.path.join(os.path.basename(os.path.dirname(__file__)), "static", "fixed_support.svg")]))
#Line source for the cable
line_source_bottom = ColumnDataSource(dict(xs = [0, Lx * np.cos(theta_total1)], ys =[0, Lx * np.sin(theta_total1)] ))
line_source_top = ColumnDataSource(dict(xs = [Lx * np.cos(theta_total1), B], ys =[Lx * np.sin(theta_total1), H] ))
# Carriage
line_source_carriage = ColumnDataSource(dict(xs = [Lx * np.cos(theta_total1),Lx * np.cos(theta_total1)], ys= [Lx * np.sin(theta_total1)-120,Lx * np.sin(theta_total1)] ))
mass_source_carriage=ColumnDataSource(dict(x = [Lx * np.cos(theta_total1)], y = [Lx * np.sin(theta_total1)-120], size=[int(M/M_max*80)] ))
connecting_pt_circle=ColumnDataSource(dict(x = [Lx * np.cos(theta_total1)], y = [ Lx * np.sin(theta_total1)] ))
#Annotations
B_dist_source = ColumnDataSource(dict(xS=[0], xE=[B], yS=[min(-200+50,Lx * np.sin(theta_total1)-320+50)], yE=[min(-200+50,Lx * np.sin(theta_total1)-320+50)], xL=[B*0.5], yL=[min(-200+60,Lx * np.sin(theta_total1)-320+60)], text=["B"]))
H_dist_source = ColumnDataSource(dict(xS=[B+100], xE=[B+100], yS=[0], yE=[H], xL=[B+70], yL=[0.5*H], text=["H"]))
D_dist_source = ColumnDataSource(dict(xS=[+0], xE=[B-20], yS=[0+30], yE=[H+10], xL=[B*0.5-30], yL=[H*0.5+30], text=["D"]))
x_pt_circle=ColumnDataSource(dict(x = [Lx * np.cos(theta_total1)], y = [min(-200+25,Lx * np.sin(theta_total1)-320+25)] ))
y_pt_circle=ColumnDataSource(dict(x = [-150+15], y = [ Lx * np.sin(theta_total1)] ))
#Cable Tensions & Load
T1_source = ColumnDataSource(dict(xS=[0], xE=[-(np.cos(theta_total1)*150*T1/(T1+T2))], yS=[0], yE=[-(np.sin(theta_total1)*150*T1/(T1+T2))], xL=[-50-0.5*(np.cos(theta_total1)*150*T1/(T1+T2))], yL=[-50-0.5*(np.sin(theta_total1)*150*T1/(T1+T2))], name=["T_1"]))
T2_source =ColumnDataSource(dict(xS=[B], xE=[B+(np.cos(theta_total2)*150*T2/(T1+T2))], yS=[H], yE=[H+(np.sin(theta_total2)*150*T2/(T1+T2))], xL=[+25+B+0.5*(np.cos(theta_total2)*150*T2/(T1+T2))], yL=[-25+H+0.5*(np.sin(theta_total2)*150*T2/(T1+T2))], name=["T_2"]))
#Labels and arrows for annotations & cable tensions
B_dist = Arrow(end=TeeHead(line_color="#808080", line_width=1, size=10),
start=TeeHead(line_color="#808080",line_width=1, size=10),
x_start='xS', y_start='yS', x_end='xE', y_end='yE', line_width=1, line_color="#808080", source=B_dist_source)
B_dist_label = LatexLabelSet(x='xL', y='yL', text='text', source=B_dist_source)
H_dist = Arrow(end=TeeHead(line_color="#808080", line_width=1, size=10),
start=TeeHead(line_color="#808080",line_width=1, size=10),
x_start='xS', y_start='yS', x_end='xE', y_end='yE', line_width=1, line_color="#808080", source=H_dist_source)
H_dist_label = LatexLabelSet(x='xL', y='yL', text='text', source=H_dist_source)
D_dist = Arrow(end=TeeHead(line_color="#808080", line_width=1, size=10),
start=TeeHead(line_color="#808080",line_width=1, size=10),
x_start='xS', y_start='yS', x_end='xE', y_end='yE', line_width=1, line_color="#808080", source=D_dist_source)
D_dist_label = LatexLabelSet(x='xL', y='yL', text='text', source=D_dist_source)
T1_arrow_glyph = Arrow(end=OpenHead(line_color="#333333", line_width=4, size=10),
x_start='xS', y_start='yS', x_end='xE', y_end='yE', line_width=4, source=T1_source,line_color="#333333")
T2_arrow_glyph = Arrow(end=OpenHead(line_color="#333333", line_width=4, size=10),
x_start='xS', y_start='yS', x_end='xE', y_end='yE', line_width=4, source=T2_source,line_color="#333333")
T1_label_glyph=LatexLabelSet(x='xL', y='yL', text='name', text_font_size="15pt", level='glyph', source=T1_source)
T2_label_glyph=LatexLabelSet(x='xL', y='yL', text='name', text_font_size="15pt", level='glyph', source=T2_source)
#Adding all glyps into the plot - lines, carriage, supports, tensions & annotations
plot.line(x='xs', y='ys', source=line_source_bottom , line_width=10, color='#3070B3')
plot.line(x='xs', y='ys', source=line_source_top , line_width=10, color='#3070B3')
plot.circle(x='x', y='y', source=connecting_pt_circle, size=20, color="#e37222")
plot.line(x='xs', y='ys', source=line_source_carriage, line_width=10, color="#e37222")
plot.square(x='x', y='y', size='size', source=mass_source_carriage, color="#e37222")
plot.circle(x='x', y='y', source=x_pt_circle, size=20, color="#a2ad00")
plot.circle(x='x', y='y', source=y_pt_circle, size=20, color="#a2ad00")
plot.add_glyph(support_source_top,ImageURL(url="src", x='x', y='y', w=60, h=60, anchor="top_center"))
plot.add_glyph(support_source_bottom,ImageURL(url="src", x='x', y='y', w=60, h=60, anchor="top_center"))
plot.add_layout(T1_arrow_glyph)
plot.add_layout(T2_arrow_glyph)
plot.add_layout(T1_label_glyph)
plot.add_layout(T2_label_glyph)
plot.add_layout(B_dist)
plot.add_layout(B_dist_label)
plot.add_layout(H_dist)
plot.add_layout(H_dist_label)
plot.add_layout(D_dist)
plot.add_layout(D_dist_label)
# ----------------------------------------------------------------- #
####################################
## LAYOUT ##
####################################
curdoc().add_root(column(
description1,
figure_kin,
description2,
figure_fbd,
description3,
column(column(
row(H_slider,B_slider,c_slider),
row(M_slider,X_slider,Reset_button),
row(plot),
row(value_plot_distance_cable_length,value_plot_angles, value_plot_tensions)
))))
curdoc().title = split(dirname(__file__))[-1].replace('_',' ').replace('-',' ') # get path of parent directory and only use the name of the Parent Directory for the tab name. Replace underscores '_' and minuses '-' with blanks ' '
# ----------------------------------------------------------------- #
| [
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28... | 2.564781 | 5,673 |
from GPnet import logpdf
import math
import numpy as np
import os
import sys
from time import time
sys.path.append('Probabilistic-Backpropagation-master/c/PBP_net')
import PBP_net
# pass the name of the UCI Dataset directory as argument
try:
data_directory = sys.argv[1]
except:
data_directory = 'bostonHousing'
_UCI_DIRECTORY_PATH = "DropoutUncertaintyExps-master/UCI_Datasets/"
subfolders = [f.name for f in os.scandir(_UCI_DIRECTORY_PATH) if f.is_dir()]
subfolders.sort()
if data_directory not in subfolders:
raise ValueError("data directory must be one of the following " +
repr(subfolders) + " but was " + data_directory)
_DATA_DIRECTORY_PATH = _UCI_DIRECTORY_PATH + data_directory + "/data/"
data = np.loadtxt(_DATA_DIRECTORY_PATH + "data.txt")
index_features = np.loadtxt(_DATA_DIRECTORY_PATH + "index_features.txt")
index_target = np.loadtxt(_DATA_DIRECTORY_PATH + "index_target.txt")
X = data[:, [int(i) for i in index_features.tolist()]]
y = data[:, int(index_target.tolist())]
n_splits = int(np.loadtxt(_DATA_DIRECTORY_PATH + 'n_splits.txt'))
n_hidden = int(np.loadtxt(_DATA_DIRECTORY_PATH + "n_hidden.txt"))
n_epochs = int(np.loadtxt(_DATA_DIRECTORY_PATH + 'n_epochs.txt'))
def _get_index_train_test_path(split_num, train=True):
"""
Method to generate the path containing the training/test split for the given
split number (generally from 1 to 20).
@param split_num Split number for which the data has to be generated
@param train Is true if the data is training data. Else false.
@return path Path of the file containing the requried data
"""
if train:
return _DATA_DIRECTORY_PATH + "index_train_" + str(split_num) + ".txt"
else:
return _DATA_DIRECTORY_PATH + "index_test_" + str(split_num) + ".txt"
perf = np.nan * np.zeros((n_splits, 2, 3))
for n_layers in (1, 2):
np.random.seed(1)
for split in range(n_splits):
# We load the indexes of the training and test sets
print('Loading file: ' + _get_index_train_test_path(split, train=True))
print('Loading file: ' + _get_index_train_test_path(split, train=False))
index_train = np.loadtxt(_get_index_train_test_path(split, train=True))
index_test = np.loadtxt(_get_index_train_test_path(split, train=False))
X_train = X[[int(i) for i in index_train.tolist()]]
y_train = y[[int(i) for i in index_train.tolist()]]
X_test = X[[int(i) for i in index_test.tolist()]]
y_test = y[[int(i) for i in index_test.tolist()]]
net = PBP_net.PBP_net(X_train, y_train, [n_hidden] * n_layers,
normalize=True, n_epochs=n_epochs)
# We make predictions for the test set
t = -time()
m, v, v_noise = net.predict(X_test)
t += time()
# We compute the test RMSE and ll
perf[split, n_layers - 1, :2] = (np.sqrt(np.mean((y_test - m)**2)),
logpdf(y_test - m, v + v_noise).mean())
perf[split, n_layers - 1, 2] = t
np.save('results/PBP/' + data_directory, perf)
| [
6738,
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198,
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198,
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10786,
2964,
65,
14991,
2569,
12,
7282,
22930,
... | 2.297888 | 1,373 |
import pygame, random
from random import randint
from pygame.locals import *
UP = 0
RIGHT = 1
DOWN = 2
LEFT = 3
pygame.init()
screen = pygame.display.set_mode((600, 600))
pygame.display.set_caption('Snake')
snake = [(200, 200, (210, 210), (200, 200))]
snake_skin = pygame.Surface((10, 10))
snake_skin.fill((255, 255, 255))
apple_pos = (random, randint(0, 590), random.randint(0, 590))
apple = pygame.Surface((10, 10))
apple.fill((255, 0, 0))
my_direction = LEFT
while True:
for event in pygame.event.get():
if event.type == QUIT:
pygame.quit()
if my_direction == UP:
snake[0] = (snake[0][0], snake[0][1] - 10)
if my_direction == DOWN:
snake[0] = (snake[0][0], snake[0][1] + 10)
if my_direction == RIGHT:
snake[0] = (snake[0][0] + 10, snake[0][1])
if my_direction == LEFT:
snake[0] = (snake[0][0] - 10, snake[0][1])
for i in range(len(snake) - 1, 0, -1):
snake[i] = (snake[i][0], snake[i][1])
screen.fill((0, 0, 0))
screen.blit(apple, apple_pos)
for pos in snake:
screen.blit(snake_skin, pos)
pygame.display.update()
| [
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... | 2.176583 | 521 |
from __future__ import print_function
"""
Simple routines that provide a uniform interface for reading
fits hdus via either astropy.io.fits or fitsio.
Three functions are provided:
read_image, read_table, read_metadata
Warning: A copy of data is returned to detach any backreference to
the original fits library. Use with caution with extremely
large files. (> half of avail memory on machine)
"""
__author__ = "Yu Feng and Martin White"
__version__ = "0.9"
__email__ = "yfeng1@berkeley.edu or mjwhite@lbl.gov"
__all__ = ['read_image', 'read_table', 'read_metadata', 'size_table']
import numpy
def use_astropy():
""" select the astropy backend """
global read_image
global read_table
global size_table
global read_metadata
global backend
backend = "astropy"
from astropy.io import fits
def read_image(filename, hdu=0):
"""
Read the zeroth image HDU from a fits file
"""
file = fits.open(filename)
# A copy of data is made before the file object
# is dereferenced. This is to ensure no back references
# to the fits object and file gets closed in a timely
# fashion.
return numpy.array(file[hdu].data, copy=True)
def read_table(filename, hdu=1, subset=None):
"""
Read the first HDU table from a fits file
"""
file = fits.open(filename)
if subset is not None:
column, start, end = subset
return numpy.array(file[hdu][column][start:end], copy=True)
return numpy.array(file[hdu].data, copy=True)
def size_table(filename, hdu=1):
"""
Read the first HDU table from a fits file
"""
file = fits.open(filename)
return file[hdu].shape[0]
def read_metadata(filename, hdu=0):
"""
Read the metadata of a HDU table
"""
file = fits.open(filename)
return dict(file[hdu].header)
def use_fitsio():
""" select the fitsio backend """
global read_image
global read_table
global size_table
global read_metadata
global backend
backend = "fitsio"
from fitsio import FITS
def read_image(filename, hdu=0):
"""
Read the zeroth image HDU from a fits file
"""
file = FITS(filename, upper=True)
# A copy of data is made before the file object
# is dereferenced. This is to ensure no back references
# to the fits object and file gets closed in a timely
# fashion.
return numpy.array(file[hdu].read(), copy=True)
def read_table(filename, hdu=1, subset=None):
"""
Read the first HDU table from a fits file
"""
file = FITS(filename, upper=True)
if subset is not None:
column, start, end = subset
return numpy.array(file[hdu][column][start:end], copy=True)
else:
return numpy.array(file[hdu].read(), copy=True)
def size_table(filename, hdu=1):
"""
Read the first HDU table from a fits file
"""
file = FITS(filename, upper=True)
return file[hdu].get_nrows()
def read_metadata(filename, hdu=0):
"""
Read the metadata of a HDU table
"""
file = FITS(filename, upper=True)
return dict(file[hdu].read_header())
_priorities = [use_fitsio, use_astropy]
for backend in _priorities:
try:
backend()
break
except ImportError:
continue
if __name__ == '__main__':
use_fitsio()
im0 = read_image('depth-370143-g.fits.gz')
meta0 = read_metadata('depth-370143-g.fits.gz')
tbl0 = read_table('tractor-370143.fits')
assert backend == 'fitsio'
use_astropy()
im1 = read_image('depth-370143-g.fits.gz')
meta1 = read_metadata('depth-370143-g.fits.gz')
tbl1 = read_table('tractor-370143.fits')
assert backend == 'astropy'
assert (im0[...] == im1[...]).all()
assert set(tbl0.dtype.names) == set(tbl1.dtype.names)
assert set(meta0.keys()) == set(meta1.keys())
for k in meta0.keys():
if k == "COMMENT": continue
print (k, '::::', meta0[k], '::::', meta1[k])
assert meta0[k] == meta1[k]
| [
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198,
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220,
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11414,... | 2.334776 | 1,849 |
#!/usr/bin/env python3
import logging
from pathlib import Path
from datetime import datetime
from Pegasus.api import *
logging.basicConfig(level=logging.DEBUG)
PEGASUS_LOCATION = "/usr/bin/pegasus-keg"
# --- Work Dir Setup -----------------------------------------------------------
RUN_ID = "black-diamond-metadata-" + datetime.now().strftime("%s")
TOP_DIR = Path.cwd()
WORK_DIR = TOP_DIR / "work"
try:
Path.mkdir(WORK_DIR)
except FileExistsError:
pass
# --- Configuration ------------------------------------------------------------
print("Generating pegasus.conf at: {}".format(TOP_DIR / "pegasus.properties"))
conf = Properties()
conf["pegasus.catalog.site.file"] = "./conf/sites.yml"
conf["pegasus.catalog.site"] = "YAML"
conf.write()
# --- Replicas -----------------------------------------------------------------
print("Generating replica catalog at: {}".format(TOP_DIR / "replicas.yml"))
# create initial input file
with open("f.a", "w") as f:
f.write("This is sample input to KEG\n")
fa = File("f.a", size=1024).add_metadata({"raw_input": "true"})
ReplicaCatalog().add_replica("local", fa, TOP_DIR / fa.lfn).write()
# --- Transformations ----------------------------------------------------------
print(
"Generating transformation catalog at: {}".format(TOP_DIR / "transformations.yml")
)
preprocess = Transformation(
"preprocess",
namespace="pegasus",
version="4.0",
site="condorpool",
pfn=PEGASUS_LOCATION,
is_stageable=False,
arch=Arch.X86_64,
os_type=OS.LINUX
).add_metadata(size=2048, transformation="preprocess")
findrange = Transformation(
"findrange",
namespace="pegasus",
version="4.0",
site="condorpool",
pfn=PEGASUS_LOCATION,
is_stageable=False,
arch=Arch.X86_64,
os_type=OS.LINUX
).add_metadata(size=2048, transformation="findrange")
analyze = Transformation(
"analyze",
namespace="pegasus",
version="4.0",
site="condorpool",
pfn=PEGASUS_LOCATION,
is_stageable=False,
arch=Arch.X86_64,
os_type=OS.LINUX
).add_metadata(size=2048, transformation="analyze")
TransformationCatalog().add_transformations(preprocess, findrange, analyze).write()
# --- Workflow -----------------------------------------------------------------
print("Generating workflow")
wf = Workflow("diamond")
wf.add_metadata(label="keg-diamond", group="test")
fb1 = File("f.ƀ1")
fb2 = File("f.β2")
fc1 = File("f.Ҫ1")
fc2 = File("f.Ͻ2")
fd = File("f.Ɗ").add_metadata(final_output=True)
preprocess_job = Job(preprocess)\
.add_args("-a", "preprocess", "-T", "60", "-i", fa, "-o", fb1, fb2)\
.add_inputs(fa)\
.add_outputs(fb1, fb2, register_replica=True)\
.add_metadata(time=60)
findrange_1_job = Job(findrange)\
.add_args("-a", "findrange", "-T", "60", "-i", fb1, "-o", fc1)\
.add_inputs(fb1)\
.add_outputs(fc1, register_replica=True)\
.add_metadata(time=60)
findrange_2_job = Job(findrange)\
.add_args("-a", "findrange", "-T", "60", "-i", fb2, "-o", fc2)\
.add_inputs(fb2)\
.add_outputs(fc2, register_replica=True)\
.add_metadata(time=60)
analyze_job = Job(analyze)\
.add_args("-a", "analyze", "-T", "60", "-i", fc1, fc2, "-o", fd)\
.add_inputs(fc1, fc2)\
.add_outputs(fd, register_replica=True)\
.add_metadata(time=60)
wf.add_jobs(preprocess_job, findrange_1_job, findrange_2_job, analyze_job)
try:
wf.plan(
dir=WORK_DIR,
verbose=3,
relative_dir=RUN_ID,
sites=["condorpool"],
force=True,
submit=True,
)
except PegasusClientError as e:
print(e.output)
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
11748,
18931,
198,
198,
6738,
3108,
8019,
1330,
10644,
198,
6738,
4818,
8079,
1330,
4818,
8079,
198,
198,
6738,
48188,
13,
15042,
1330,
1635,
198,
198,
6404,
2667,
13,
35487,
16934,
... | 2.100201 | 1,986 |
import os
import pickle
from PIL import Image
import torch
import torch.utils.data as data
| [
11748,
28686,
198,
11748,
2298,
293,
198,
6738,
350,
4146,
1330,
7412,
198,
11748,
28034,
198,
11748,
28034,
13,
26791,
13,
7890,
355,
1366,
198
] | 3.64 | 25 |
import uuid
import discord
import logging
from discord.ext import commands
from asyncio import TimeoutError
logger = logging.getLogger(__name__)
| [
11748,
334,
27112,
198,
11748,
36446,
198,
11748,
18931,
198,
6738,
36446,
13,
2302,
1330,
9729,
198,
6738,
30351,
952,
1330,
3862,
448,
12331,
198,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
628,
198
] | 3.609756 | 41 |
# Generated by Django 2.2.10 on 2020-05-12 08:44
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
362,
13,
17,
13,
940,
319,
12131,
12,
2713,
12,
1065,
8487,
25,
2598,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.935484 | 31 |
import logging
from flask_restx import Resource, fields, marshal
logger = logging.getLogger(__name__)
| [
11748,
18931,
198,
198,
6738,
42903,
62,
2118,
87,
1330,
20857,
11,
7032,
11,
22397,
282,
198,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
628
] | 3.28125 | 32 |
A=[]
print("Enter array(exit to end)")
while 1:
x=input()
if x=='exit':
break
A.append(int(x))
best=0
tempsum=0
for x in A:
tempsum=max(tempsum+x,x)
best=max(best,tempsum)
print("Max sum="+str(best))
#complexity is O(n)
| [
32,
28,
21737,
198,
4798,
7203,
17469,
7177,
7,
37023,
284,
886,
8,
4943,
198,
4514,
352,
25,
198,
220,
220,
220,
2124,
28,
15414,
3419,
198,
220,
220,
220,
611,
2124,
855,
6,
37023,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
... | 1.968254 | 126 |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outputs
from ._enums import *
__all__ = [
'AuditConfigResponse',
'AuditLogConfigResponse',
'BindingResponse',
'ConfigFileResponse',
'DeploymentLabelEntryResponse',
'DeploymentUpdateLabelEntryResponse',
'DeploymentUpdateResponse',
'ExprResponse',
'ImportFileResponse',
'OperationErrorErrorsItemResponse',
'OperationErrorResponse',
'OperationResponse',
'OperationWarningsItemDataItemResponse',
'OperationWarningsItemResponse',
'TargetConfigurationResponse',
]
@pulumi.output_type
class AuditConfigResponse(dict):
"""
Specifies the audit configuration for a service. The configuration determines which permission types are logged, and what identities, if any, are exempted from logging. An AuditConfig must have one or more AuditLogConfigs. If there are AuditConfigs for both `allServices` and a specific service, the union of the two AuditConfigs is used for that service: the log_types specified in each AuditConfig are enabled, and the exempted_members in each AuditLogConfig are exempted. Example Policy with multiple AuditConfigs: { "audit_configs": [ { "service": "allServices", "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" }, { "log_type": "ADMIN_READ" } ] }, { "service": "sampleservice.googleapis.com", "audit_log_configs": [ { "log_type": "DATA_READ" }, { "log_type": "DATA_WRITE", "exempted_members": [ "user:aliya@example.com" ] } ] } ] } For sampleservice, this policy enables DATA_READ, DATA_WRITE and ADMIN_READ logging. It also exempts jose@example.com from DATA_READ logging, and aliya@example.com from DATA_WRITE logging.
"""
@staticmethod
def __init__(__self__, *,
audit_log_configs: Sequence['outputs.AuditLogConfigResponse'],
service: str):
"""
Specifies the audit configuration for a service. The configuration determines which permission types are logged, and what identities, if any, are exempted from logging. An AuditConfig must have one or more AuditLogConfigs. If there are AuditConfigs for both `allServices` and a specific service, the union of the two AuditConfigs is used for that service: the log_types specified in each AuditConfig are enabled, and the exempted_members in each AuditLogConfig are exempted. Example Policy with multiple AuditConfigs: { "audit_configs": [ { "service": "allServices", "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" }, { "log_type": "ADMIN_READ" } ] }, { "service": "sampleservice.googleapis.com", "audit_log_configs": [ { "log_type": "DATA_READ" }, { "log_type": "DATA_WRITE", "exempted_members": [ "user:aliya@example.com" ] } ] } ] } For sampleservice, this policy enables DATA_READ, DATA_WRITE and ADMIN_READ logging. It also exempts jose@example.com from DATA_READ logging, and aliya@example.com from DATA_WRITE logging.
:param Sequence['AuditLogConfigResponse'] audit_log_configs: The configuration for logging of each type of permission.
:param str service: Specifies a service that will be enabled for audit logging. For example, `storage.googleapis.com`, `cloudsql.googleapis.com`. `allServices` is a special value that covers all services.
"""
pulumi.set(__self__, "audit_log_configs", audit_log_configs)
pulumi.set(__self__, "service", service)
@property
@pulumi.getter(name="auditLogConfigs")
def audit_log_configs(self) -> Sequence['outputs.AuditLogConfigResponse']:
"""
The configuration for logging of each type of permission.
"""
return pulumi.get(self, "audit_log_configs")
@property
@pulumi.getter
def service(self) -> str:
"""
Specifies a service that will be enabled for audit logging. For example, `storage.googleapis.com`, `cloudsql.googleapis.com`. `allServices` is a special value that covers all services.
"""
return pulumi.get(self, "service")
@pulumi.output_type
class AuditLogConfigResponse(dict):
"""
Provides the configuration for logging a type of permissions. Example: { "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" } ] } This enables 'DATA_READ' and 'DATA_WRITE' logging, while exempting jose@example.com from DATA_READ logging.
"""
@staticmethod
def __init__(__self__, *,
exempted_members: Sequence[str],
log_type: str):
"""
Provides the configuration for logging a type of permissions. Example: { "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" } ] } This enables 'DATA_READ' and 'DATA_WRITE' logging, while exempting jose@example.com from DATA_READ logging.
:param Sequence[str] exempted_members: Specifies the identities that do not cause logging for this type of permission. Follows the same format of Binding.members.
:param str log_type: The log type that this config enables.
"""
pulumi.set(__self__, "exempted_members", exempted_members)
pulumi.set(__self__, "log_type", log_type)
@property
@pulumi.getter(name="exemptedMembers")
def exempted_members(self) -> Sequence[str]:
"""
Specifies the identities that do not cause logging for this type of permission. Follows the same format of Binding.members.
"""
return pulumi.get(self, "exempted_members")
@property
@pulumi.getter(name="logType")
def log_type(self) -> str:
"""
The log type that this config enables.
"""
return pulumi.get(self, "log_type")
@pulumi.output_type
class BindingResponse(dict):
"""
Associates `members`, or principals, with a `role`.
"""
def __init__(__self__, *,
condition: 'outputs.ExprResponse',
members: Sequence[str],
role: str):
"""
Associates `members`, or principals, with a `role`.
:param 'ExprResponse' condition: The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
:param Sequence[str] members: Specifies the principals requesting access for a Cloud Platform resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`.
:param str role: Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`.
"""
pulumi.set(__self__, "condition", condition)
pulumi.set(__self__, "members", members)
pulumi.set(__self__, "role", role)
@property
@pulumi.getter
def condition(self) -> 'outputs.ExprResponse':
"""
The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
"""
return pulumi.get(self, "condition")
@property
@pulumi.getter
def members(self) -> Sequence[str]:
"""
Specifies the principals requesting access for a Cloud Platform resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`.
"""
return pulumi.get(self, "members")
@property
@pulumi.getter
def role(self) -> str:
"""
Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`.
"""
return pulumi.get(self, "role")
@pulumi.output_type
@pulumi.output_type
class DeploymentLabelEntryResponse(dict):
"""
Label object for Deployments
"""
def __init__(__self__, *,
key: str,
value: str):
"""
Label object for Deployments
:param str key: Key of the label
:param str value: Value of the label
"""
pulumi.set(__self__, "key", key)
pulumi.set(__self__, "value", value)
@property
@pulumi.getter
def key(self) -> str:
"""
Key of the label
"""
return pulumi.get(self, "key")
@property
@pulumi.getter
def value(self) -> str:
"""
Value of the label
"""
return pulumi.get(self, "value")
@pulumi.output_type
class DeploymentUpdateLabelEntryResponse(dict):
"""
Label object for DeploymentUpdate
"""
def __init__(__self__, *,
key: str,
value: str):
"""
Label object for DeploymentUpdate
:param str key: Key of the label
:param str value: Value of the label
"""
pulumi.set(__self__, "key", key)
pulumi.set(__self__, "value", value)
@property
@pulumi.getter
def key(self) -> str:
"""
Key of the label
"""
return pulumi.get(self, "key")
@property
@pulumi.getter
def value(self) -> str:
"""
Value of the label
"""
return pulumi.get(self, "value")
@pulumi.output_type
@pulumi.output_type
class ExprResponse(dict):
"""
Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information.
"""
def __init__(__self__, *,
description: str,
expression: str,
location: str,
title: str):
"""
Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information.
:param str description: Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
:param str expression: Textual representation of an expression in Common Expression Language syntax.
:param str location: Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
:param str title: Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
"""
pulumi.set(__self__, "description", description)
pulumi.set(__self__, "expression", expression)
pulumi.set(__self__, "location", location)
pulumi.set(__self__, "title", title)
@property
@pulumi.getter
def description(self) -> str:
"""
Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter
def expression(self) -> str:
"""
Textual representation of an expression in Common Expression Language syntax.
"""
return pulumi.get(self, "expression")
@property
@pulumi.getter
def location(self) -> str:
"""
Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
"""
return pulumi.get(self, "location")
@property
@pulumi.getter
def title(self) -> str:
"""
Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
"""
return pulumi.get(self, "title")
@pulumi.output_type
@pulumi.output_type
@pulumi.output_type
class OperationErrorResponse(dict):
"""
[Output Only] If errors are generated during processing of the operation, this field will be populated.
"""
def __init__(__self__, *,
errors: Sequence['outputs.OperationErrorErrorsItemResponse']):
"""
[Output Only] If errors are generated during processing of the operation, this field will be populated.
:param Sequence['OperationErrorErrorsItemResponse'] errors: The array of errors encountered while processing this operation.
"""
pulumi.set(__self__, "errors", errors)
@property
@pulumi.getter
def errors(self) -> Sequence['outputs.OperationErrorErrorsItemResponse']:
"""
The array of errors encountered while processing this operation.
"""
return pulumi.get(self, "errors")
@pulumi.output_type
class OperationResponse(dict):
"""
Represents an Operation resource. Google Compute Engine has three Operation resources: * [Global](/compute/docs/reference/rest/{$api_version}/globalOperations) * [Regional](/compute/docs/reference/rest/{$api_version}/regionOperations) * [Zonal](/compute/docs/reference/rest/{$api_version}/zoneOperations) You can use an operation resource to manage asynchronous API requests. For more information, read Handling API responses. Operations can be global, regional or zonal. - For global operations, use the `globalOperations` resource. - For regional operations, use the `regionOperations` resource. - For zonal operations, use the `zonalOperations` resource. For more information, read Global, Regional, and Zonal Resources.
"""
@staticmethod
def __init__(__self__, *,
client_operation_id: str,
description: str,
end_time: str,
error: 'outputs.OperationErrorResponse',
http_error_message: str,
http_error_status_code: int,
insert_time: str,
kind: str,
name: str,
operation_group_id: str,
operation_type: str,
progress: int,
region: str,
self_link: str,
start_time: str,
status: str,
status_message: str,
target_id: str,
target_link: str,
user: str,
warnings: Sequence['outputs.OperationWarningsItemResponse'],
zone: str):
"""
Represents an Operation resource. Google Compute Engine has three Operation resources: * [Global](/compute/docs/reference/rest/{$api_version}/globalOperations) * [Regional](/compute/docs/reference/rest/{$api_version}/regionOperations) * [Zonal](/compute/docs/reference/rest/{$api_version}/zoneOperations) You can use an operation resource to manage asynchronous API requests. For more information, read Handling API responses. Operations can be global, regional or zonal. - For global operations, use the `globalOperations` resource. - For regional operations, use the `regionOperations` resource. - For zonal operations, use the `zonalOperations` resource. For more information, read Global, Regional, and Zonal Resources.
:param str client_operation_id: The value of `requestId` if you provided it in the request. Not present otherwise.
:param str description: A textual description of the operation, which is set when the operation is created.
:param str end_time: The time that this operation was completed. This value is in RFC3339 text format.
:param 'OperationErrorResponse' error: If errors are generated during processing of the operation, this field will be populated.
:param str http_error_message: If the operation fails, this field contains the HTTP error message that was returned, such as `NOT FOUND`.
:param int http_error_status_code: If the operation fails, this field contains the HTTP error status code that was returned. For example, a `404` means the resource was not found.
:param str insert_time: The time that this operation was requested. This value is in RFC3339 text format.
:param str kind: Type of the resource. Always `compute#operation` for Operation resources.
:param str name: Name of the operation.
:param str operation_group_id: An ID that represents a group of operations, such as when a group of operations results from a `bulkInsert` API request.
:param str operation_type: The type of operation, such as `insert`, `update`, or `delete`, and so on.
:param int progress: An optional progress indicator that ranges from 0 to 100. There is no requirement that this be linear or support any granularity of operations. This should not be used to guess when the operation will be complete. This number should monotonically increase as the operation progresses.
:param str region: The URL of the region where the operation resides. Only applicable when performing regional operations.
:param str self_link: Server-defined URL for the resource.
:param str start_time: The time that this operation was started by the server. This value is in RFC3339 text format.
:param str status: The status of the operation, which can be one of the following: `PENDING`, `RUNNING`, or `DONE`.
:param str status_message: An optional textual description of the current status of the operation.
:param str target_id: The unique target ID, which identifies a specific incarnation of the target resource.
:param str target_link: The URL of the resource that the operation modifies. For operations related to creating a snapshot, this points to the persistent disk that the snapshot was created from.
:param str user: User who requested the operation, for example: `user@example.com`.
:param Sequence['OperationWarningsItemResponse'] warnings: If warning messages are generated during processing of the operation, this field will be populated.
:param str zone: The URL of the zone where the operation resides. Only applicable when performing per-zone operations.
"""
pulumi.set(__self__, "client_operation_id", client_operation_id)
pulumi.set(__self__, "description", description)
pulumi.set(__self__, "end_time", end_time)
pulumi.set(__self__, "error", error)
pulumi.set(__self__, "http_error_message", http_error_message)
pulumi.set(__self__, "http_error_status_code", http_error_status_code)
pulumi.set(__self__, "insert_time", insert_time)
pulumi.set(__self__, "kind", kind)
pulumi.set(__self__, "name", name)
pulumi.set(__self__, "operation_group_id", operation_group_id)
pulumi.set(__self__, "operation_type", operation_type)
pulumi.set(__self__, "progress", progress)
pulumi.set(__self__, "region", region)
pulumi.set(__self__, "self_link", self_link)
pulumi.set(__self__, "start_time", start_time)
pulumi.set(__self__, "status", status)
pulumi.set(__self__, "status_message", status_message)
pulumi.set(__self__, "target_id", target_id)
pulumi.set(__self__, "target_link", target_link)
pulumi.set(__self__, "user", user)
pulumi.set(__self__, "warnings", warnings)
pulumi.set(__self__, "zone", zone)
@property
@pulumi.getter(name="clientOperationId")
def client_operation_id(self) -> str:
"""
The value of `requestId` if you provided it in the request. Not present otherwise.
"""
return pulumi.get(self, "client_operation_id")
@property
@pulumi.getter
def description(self) -> str:
"""
A textual description of the operation, which is set when the operation is created.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="endTime")
def end_time(self) -> str:
"""
The time that this operation was completed. This value is in RFC3339 text format.
"""
return pulumi.get(self, "end_time")
@property
@pulumi.getter
def error(self) -> 'outputs.OperationErrorResponse':
"""
If errors are generated during processing of the operation, this field will be populated.
"""
return pulumi.get(self, "error")
@property
@pulumi.getter(name="httpErrorMessage")
def http_error_message(self) -> str:
"""
If the operation fails, this field contains the HTTP error message that was returned, such as `NOT FOUND`.
"""
return pulumi.get(self, "http_error_message")
@property
@pulumi.getter(name="httpErrorStatusCode")
def http_error_status_code(self) -> int:
"""
If the operation fails, this field contains the HTTP error status code that was returned. For example, a `404` means the resource was not found.
"""
return pulumi.get(self, "http_error_status_code")
@property
@pulumi.getter(name="insertTime")
def insert_time(self) -> str:
"""
The time that this operation was requested. This value is in RFC3339 text format.
"""
return pulumi.get(self, "insert_time")
@property
@pulumi.getter
def kind(self) -> str:
"""
Type of the resource. Always `compute#operation` for Operation resources.
"""
return pulumi.get(self, "kind")
@property
@pulumi.getter
def name(self) -> str:
"""
Name of the operation.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="operationGroupId")
def operation_group_id(self) -> str:
"""
An ID that represents a group of operations, such as when a group of operations results from a `bulkInsert` API request.
"""
return pulumi.get(self, "operation_group_id")
@property
@pulumi.getter(name="operationType")
def operation_type(self) -> str:
"""
The type of operation, such as `insert`, `update`, or `delete`, and so on.
"""
return pulumi.get(self, "operation_type")
@property
@pulumi.getter
def progress(self) -> int:
"""
An optional progress indicator that ranges from 0 to 100. There is no requirement that this be linear or support any granularity of operations. This should not be used to guess when the operation will be complete. This number should monotonically increase as the operation progresses.
"""
return pulumi.get(self, "progress")
@property
@pulumi.getter
def region(self) -> str:
"""
The URL of the region where the operation resides. Only applicable when performing regional operations.
"""
return pulumi.get(self, "region")
@property
@pulumi.getter(name="selfLink")
def self_link(self) -> str:
"""
Server-defined URL for the resource.
"""
return pulumi.get(self, "self_link")
@property
@pulumi.getter(name="startTime")
def start_time(self) -> str:
"""
The time that this operation was started by the server. This value is in RFC3339 text format.
"""
return pulumi.get(self, "start_time")
@property
@pulumi.getter
def status(self) -> str:
"""
The status of the operation, which can be one of the following: `PENDING`, `RUNNING`, or `DONE`.
"""
return pulumi.get(self, "status")
@property
@pulumi.getter(name="statusMessage")
def status_message(self) -> str:
"""
An optional textual description of the current status of the operation.
"""
return pulumi.get(self, "status_message")
@property
@pulumi.getter(name="targetId")
def target_id(self) -> str:
"""
The unique target ID, which identifies a specific incarnation of the target resource.
"""
return pulumi.get(self, "target_id")
@property
@pulumi.getter(name="targetLink")
def target_link(self) -> str:
"""
The URL of the resource that the operation modifies. For operations related to creating a snapshot, this points to the persistent disk that the snapshot was created from.
"""
return pulumi.get(self, "target_link")
@property
@pulumi.getter
def user(self) -> str:
"""
User who requested the operation, for example: `user@example.com`.
"""
return pulumi.get(self, "user")
@property
@pulumi.getter
def warnings(self) -> Sequence['outputs.OperationWarningsItemResponse']:
"""
If warning messages are generated during processing of the operation, this field will be populated.
"""
return pulumi.get(self, "warnings")
@property
@pulumi.getter
def zone(self) -> str:
"""
The URL of the zone where the operation resides. Only applicable when performing per-zone operations.
"""
return pulumi.get(self, "zone")
@pulumi.output_type
@pulumi.output_type
@pulumi.output_type
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"""Provides convenience functions for interacting with files and directories
"""
import os
def file_is_not_readable(file_path: str) -> bool:
"""Returns True if the given file is not readable
"""
if os.access(file_path, os.R_OK):
return False
return True
def directory_is_not_readable(directory_path: str) -> bool:
"""Returns True if the given directory is not readable
"""
if os.access(directory_path, os.R_OK):
return False
return True
def directory_is_not_writeable(directory_path: str) -> bool:
"""Returns True if the given directory is not writeable
"""
if os.access(directory_path, os.W_OK):
return False
return True
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... | 2.917012 | 241 |
# -*- coding:utf-8 -*-
# Copyright (c) 2020 Huawei Technologies Co.,Ltd.
#
# openGauss is licensed under Mulan PSL v2.
# You can use this software according to the terms
# and conditions of the Mulan PSL v2.
# You may obtain a copy of Mulan PSL v2 at:
#
# http://license.coscl.org.cn/MulanPSL2
#
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS,
# WITHOUT WARRANTIES OF ANY KIND,
# EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
# MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
# See the Mulan PSL v2 for more details.
# ----------------------------------------------------------------------------
import os
from gspylib.common.Common import DefaultValue
from gspylib.inspection.common.CheckItem import BaseItem
from gspylib.inspection.common.CheckResult import ResultStatus
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#!/usr/bin/python3
#imports
import os,json,urllib.request,urllib.parse,glob,zipfile,sys,shutil
from os.path import expanduser
#functions
#Variablen
brautecversion='3'
mcversion='1.6.4'
forgeversion='9.11.1.953'
modpackdownload='http://users.minecraft.name/maha'
modpackversiondownload=modpackdownload+'/Brautec'+brautecversion+'.json'
modpackmodsdownload=modpackdownload+'/mods'
modpackconfigdownload=modpackdownload+'/config'
if os.name=='nt':
minecraftlauncherdownload='https://s3.amazonaws.com/Minecraft.Download/launcher/Minecraft.exe'
minecraftclient=os.path.abspath(module_path()+'/minecraft_launcher.exe')
mcpath=os.path.abspath(os.getenv('APPDATA')+'/.minecraft')
elif os.name=='mac':
minecraftlauncherdownload='https://s3.amazonaws.com/Minecraft.Download/launcher/Minecraft.jar'
minecraftclient=os.path.abspath(module_path()+'/minecraft_launcher.jar')
mcpath=os.path.abspath(expanduser('~')+'/Library/Application Support/minecraft')
else:
minecraftlauncherdownload='https://s3.amazonaws.com/Minecraft.Download/launcher/Minecraft.jar'
minecraftclient=os.path.abspath(module_path()+'/minecraft_launcher.jar')
mcpath=os.path.abspath(expanduser('~')+'/.minecraft')
mcprofiles=os.path.abspath(mcpath+'/launcher_profiles.json')
modpackpath=os.path.abspath(mcpath+'/modpacks/brautec3')
modspath=os.path.abspath(modpackpath+'/mods')
configpath=os.path.abspath(modpackpath+'/config')
versionspath=os.path.abspath(mcpath+'/versions')
modpackversionfile=os.path.abspath(modpackpath+'/Brautec'+brautecversion)
print('Lade aktuelle Versionsinformationen herunter...')
getmodpackjson=urllib.request.urlopen(modpackversiondownload)
modpackjson=getmodpackjson.read().decode()
if modpackjson:
j_modpackjson=json.loads(modpackjson)
mcversion=j_modpackjson['MinecraftVersion']
forgeversion=j_modpackjson['ForgeVersion']
else:
print('Updateserver nicht erreichbar')
if os.path.exists(modpackpath):
print('Installation nicht moeglich: Abbruch!')
exit(1)
forgedownload='http://files.minecraftforge.net/maven/net/minecraftforge/forge/'+mcversion+'-'+forgeversion+'/forge-'+mcversion+'-'+forgeversion+'-installer.jar'
minecraftjardownload='https://s3.amazonaws.com/Minecraft.Download/versions/'+mcversion+'/'+mcversion+'.jar'
minecraftjsondownload='https://s3.amazonaws.com/Minecraft.Download/versions/'+mcversion+'/'+mcversion+'.json'
forgeversionspath=os.path.abspath(versionspath+'/'+mcversion+'-Forge'+forgeversion)
mcversionspath=os.path.abspath(versionspath+'/'+mcversion)
#Code
print('Suche Minecraft Ordner')
print(mcpath)
if os.path.isfile(mcprofiles):
fo = open(mcprofiles, 'r')
j_mcprofiles = json.loads(fo.read())
fo.close()
auth = list(j_mcprofiles['authenticationDatabase'])
if not auth:
print("Kein Minecraft Profil gefunden. Bitte den Minecraft Launcher starten und einloggen!")
exit(1)
if os.name != 'nt' or os.path.exists(os.getenv('programfiles(x86)','C:\\this dir does not exist')):
j_mcprofiles['profiles']['Brautec'+brautecversion]={'name':'Brautec'+brautecversion, 'gameDir':modpackpath, 'javaArgs':'-XX:InitialHeapSize=512M -XX:MaxHeapSize=2G -XX:MaxPermSize=256M -XX:+AggressiveOpts -XX:+UseFastAccessorMethods','lastVersionId':mcversion+'-Forge'+forgeversion,'playerUUID':auth[0]}
else:
j_mcprofiles['profiles']['Brautec'+brautecversion]={'name':'Brautec'+brautecversion, 'gameDir':modpackpath, 'javaArgs':'-XX:InitialHeapSize=512M -XX:MaxHeapSize=1024M -XX:MaxPermSize=256M','lastVersionId':mcversion+'-Forge'+forgeversion,'playerUUID':auth[0]}
j_mcprofiles['selectedProfile'] = 'Brautec3'
fo = open(mcprofiles, 'w+')
fo.write(json.dumps(j_mcprofiles))
fo.close()
else:
print('Du musst Minecraft wenigstens einmal mit dem aktuellen Minecraft Client starten und dich einloggen.')
print('Diesen bekommst du auf der Seite https://minecraft.net/download')
exit(1)
#Hier wird die Minecraft Version heruntergeladen
if not os.path.exists(mcversionspath):
print('Erstelle Versionsordner')
os.makedirs(mcversionspath)
print('Lade Minecraft Version '+mcversion+' herunter...')
mcjarfile=os.path.abspath(mcversionspath+'/'+mcversion+'.jar')
urllib.request.urlretrieve(minecraftjardownload,mcjarfile )
print(mcjarfile+' herunter geladen')
print('Lade Minecraft Profil '+mcversion+' herunter...')
mcjsonfile=os.path.abspath(mcversionspath+'/'+mcversion+'.json')
urllib.request.urlretrieve(minecraftjsondownload,mcjsonfile )
print(mcjsonfile+' herunter geladen')
#Hier wird die Forge Version heruntergeladen
if not os.path.exists(forgeversionspath):
print('Lade Forge Installationsassistent herunter...')
print('Der Assistent wird im Anschluss gestartet.')
print('Bitte fuehre anschliessend eine Clientinstallation durch')
forgeinstallerfile=os.path.abspath(module_path()+'/minecraftforge-installer-'+mcversion+'-'+forgeversion+'.jar')
urllib.request.urlretrieve(forgedownload,forgeinstallerfile )
print(forgeinstallerfile+' herunter geladen')
print('Forge Installationsassistent wird nun ausgefuehrt')
if os.name == 'nt':
os.system('"'+forgeinstallerfile+'"')
else:
os.system('chmod -x "'+forgeinstallerfile+'"')
os.system('java -jar "'+forgeinstallerfile+'"')
os.remove(forgeinstallerfile)
if not os.path.exists(forgeversionspath):
print('Forgesetup wurde scheinbar abgebrochen oder es trat ein Fehler auf.')
print('Brautec'+brautecversion+' Installation wird abgebrochen')
exit(1)
else:
print('Benoetigte Forge Version ist bereits installiert: '+mcversion+'-Forge'+forgeversion)
#Versionscheck
if os.path.isfile(modpackversionfile):
fo = open(modpackversionfile, 'r')
localmodpackversion=fo.readline()
fo.close()
else:
localmodpackversion='0'
print('Aktuell installierte Version: '+localmodpackversion)
if modpackjson:
if (int(j_modpackjson['version']) > int(localmodpackversion)):
if os.path.exists(modspath):
installedmods=glob.glob(modspath+'/*')
for installedmod in installedmods:
if (installedmod.lower().find('jar') != -1) or (installedmod.lower().find('zip') != -1):
if not any(os.path.basename(installedmod).lower() == mod['file'].lower() for mod in j_modpackjson['mods']):
print(os.path.basename(installedmod).lower()+' wird geloescht')
os.remove(installedmod)
if os.path.exists(modspath+'/'+mcversion):
if os.name == 'nt':
os.system('CMD /C RMDIR /S /Q "'+modspath+'/'+mcversion+'"')
else:
shutil.rmtree(modspath+'/'+mcversion)
else:
os.makedirs(modspath)
for mod in j_modpackjson['mods']:
if os.path.isfile(os.path.abspath(modspath+'/'+mod['file'])):
print(mod['name']+' ist aktuell')
else:
print(mod['name']+' wird heruntergeladen')
urllib.request.urlretrieve(urllib.parse.quote(modpackmodsdownload+'/'+mod['file'],safe="%/:=&?~#+!$,;'@()*[]"),os.path.abspath(modspath+'/'+mod['file']))
print('Einstellungen werden heruntergeladen')
for config in j_modpackjson['config']:
configdownloadpath=os.path.abspath(module_path()+'/'+config['file'])
print('Downloade '+config['name'])
print(urllib.parse.quote(modpackconfigdownload+'/'+config['file'],safe="%/:=&?~#+!$,;'@()*[]"))
urllib.request.urlretrieve(urllib.parse.quote(modpackconfigdownload+'/'+config['file'],safe="%/:=&?~#+!$,;'@()*[]"),configdownloadpath)
print('Entpacke '+config['name'])
if config['overwrite']==0:
overwrite=0
zippedfiles=zipfile.ZipFile(configdownloadpath,'r').namelist()
for zippedfile in zippedfiles:
if not os.path.isfile(os.path.abspath(modpackpath+'/'+zippedfile)):
overwrite=1
else:
overwrite=1
if overwrite==1:
zipfile.ZipFile(configdownloadpath,'r').extractall(modpackpath)
else:
print(config['name']+' existiert bereits und wird nicht ueberschrieben')
os.remove(configdownloadpath)
fo = open(modpackversionfile, 'w+')
fo.write(str(j_modpackjson['version']))
fo.close()
else:
print('Version ist aktuell')
else:
print('Modpackinformationen konnten nicht geladen werden.')
print('Brautec wird trotzdem gestartet.')
if not os.path.isfile(minecraftclient):
urllib.request.urlretrieve(minecraftlauncherdownload,minecraftclient)
if os.name == 'nt':
os.system('"'+minecraftclient+'"')
else:
os.system('chmod -x "'+minecraftclient+'"')
os.system('java -jar "'+minecraftclient+'"')
| [
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286... | 2.38383 | 3,723 |
# -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.11.2)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
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qt_resource_name = b"\
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qt_resource_struct_v1 = b"\
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qt_resource_struct_v2 = b"\
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qt_version = [int(v) for v in QtCore.qVersion().split('.')]
if qt_version < [5, 8, 0]:
rcc_version = 1
qt_resource_struct = qt_resource_struct_v1
else:
rcc_version = 2
qt_resource_struct = qt_resource_struct_v2
qInitResources()
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"""Constants for the Logbook Cache integration."""
DOMAIN = "logbook_cache"
NAME = "Logbook Cache"
CACHE_DAYS = "cache_days"
ONLY_CACHE = "only_cache"
DEFAULT_CACHE_DAYS = 2
DEFAULT_ONLY_CACHE = False
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62... | 2.457831 | 83 |
#!/usr/bin/python3
# coding: utf-8
#
# Project: freesas
# https://github.com/kif/freesas
#
# Copyright (C) 2020 European Synchrotron Radiation Facility, Grenoble, France
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
__author__ = "Jérôme Kieffer"
__license__ = "MIT"
__copyright__ = "2020, ESRF"
__date__ = "15/01/2021"
import io
import os
import sys
import logging
import glob
import platform
import posixpath
from collections import namedtuple, OrderedDict
import json
import copy
import pyFAI
from pyFAI.io import Nexus
from .sas_argparser import SASParser
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger("extract_ascii")
if sys.version_info[0] < 3:
logger.error("This code requires Python 3.4+")
NexusJuice = namedtuple("NexusJuice", "filename h5path npt unit q I poni mask energy polarization signal2d error2d buffer concentration")
def parse():
""" Parse input and return list of files.
:return: list of input files
"""
description = "Extract the SAXS data from a Nexus files as a 3 column ascii (q, I, err). Metadata are exported in the headers as needed."
epilog = """extract_ascii.py allows you to export the data in inverse nm or inverse A with possible intensity scaling.
"""
parser = SASParser(prog="extract-ascii.py", description=description, epilog=epilog)
# Commented option need to be implemented
# parser.add_argument("-o", "--output", action='store', help="Output filename, by default the same with .dat extension", default=None, type=str)
# parser.add_argument("-u", "--unit", action='store', help="Unit for q: inverse nm or Angstrom?", default="nm", type=str)
# parser.add_argument("-n", "--normalize", action='store', help="Re-normalize all intensities with this factor ", default=1.0, type=float)
parser.add_file_argument("HDF5 input data")
parser.add_argument("-a", "--all", action='store_true', help="extract every individual frame", default=False)
return parser.parse_args()
def extract_averaged(filename):
"return some infomations extracted from a HDF5 file "
results = OrderedDict()
results["filename"] = filename
# Missing: comment normalization
with Nexus(filename, "r") as nxsr:
entry_grp = nxsr.get_entries()[0]
results["h5path"] = entry_grp.name
nxdata_grp = nxsr.h5[entry_grp.attrs["default"]]
signal = nxdata_grp.attrs["signal"]
axis = nxdata_grp.attrs["axes"]
results["I"] = nxdata_grp[signal][()]
results["q"] = nxdata_grp[axis][()]
results["std"] = nxdata_grp["errors"][()]
results["unit"] = pyFAI.units.to_unit(axis + "_" + nxdata_grp[axis].attrs["units"])
integration_grp = nxdata_grp.parent
results["geometry"] = json.loads(integration_grp["configuration/data"][()])
results["polarization"] = integration_grp["configuration/polarization_factor"][()]
instrument_grps = nxsr.get_class(entry_grp, class_type="NXinstrument")
if instrument_grps:
detector_grp = nxsr.get_class(instrument_grps[0], class_type="NXdetector")[0]
results["mask"] = detector_grp["pixel_mask"].attrs["filename"]
sample_grp = nxsr.get_class(entry_grp, class_type="NXsample")[0]
results["sample"] = posixpath.split(sample_grp.name)[-1]
results["buffer"] = sample_grp["buffer"][()]
results["storage temperature"] = sample_grp["temperature_env"][()]
results["exposure temperature"] = sample_grp["temperature"][()]
results["concentration"] = sample_grp["concentration"][()]
if "2_correlation_mapping" in entry_grp:
results["to_merge"] = entry_grp["2_correlation_mapping/results/to_merge"][()]
return results
def extract_all(filename):
"return some infomations extracted from a HDF5 file for all individual frames"
res = []
results = OrderedDict()
results["filename"] = filename
with Nexus(filename, "r") as nxsr:
entry_grp = nxsr.get_entries()[0]
results["h5path"] = entry_grp.name
nxdata_grp = nxsr.h5[entry_grp.name + "/1_integration/results"]
signal = nxdata_grp.attrs["signal"]
axis = nxdata_grp.attrs["axes"][1]
I = nxdata_grp[signal][()]
results["q"] = nxdata_grp[axis][()]
std = nxdata_grp["errors"][()]
results["unit"] = pyFAI.units.to_unit(axis + "_" + nxdata_grp[axis].attrs["units"])
integration_grp = nxdata_grp.parent
results["geometry"] = json.loads(integration_grp["configuration/data"][()])
results["polarization"] = integration_grp["configuration/polarization_factor"][()]
instrument_grp = nxsr.get_class(entry_grp, class_type="NXinstrument")[0]
detector_grp = nxsr.get_class(instrument_grp, class_type="NXdetector")[0]
results["mask"] = detector_grp["pixel_mask"].attrs["filename"]
sample_grp = nxsr.get_class(entry_grp, class_type="NXsample")[0]
results["sample"] = posixpath.split(sample_grp.name)[-1]
results["buffer"] = sample_grp["buffer"][()]
if "temperature_env" in sample_grp:
results["storage temperature"] = sample_grp["temperature_env"][()]
if "temperature" in sample_grp:
results["exposure temperature"] = sample_grp["temperature"][()]
if "concentration" in sample_grp:
results["concentration"] = sample_grp["concentration"][()]
# if "2_correlation_mapping" in entry_grp:
# results["to_merge"] = entry_grp["2_correlation_mapping/results/to_merge"][()]
for i, s in zip(I, std):
r = copy.copy(results)
r["I"] = i
r["std"] = s
res.append(r)
return res
def write_ascii(results, output=None, hdr="#", linesep=os.linesep):
"""
:param resusts: dict containing some NexusJuice
:param output: name of the 3-column ascii file to be written
:param hdr: header mark, usually '#'
:param linesep: to be able to addapt the end of lines
Adam Round explicitelly asked for (email from Date: Tue, 04 Oct 2011 15:22:29 +0200) :
Modification from:
# BSA buffer
# Sample c= 0.0 mg/ml (these two lines are required for current DOS pipeline and can be cleaned up once we use EDNA to get to ab-initio models)
#
# Sample environment:
# Detector = Pilatus 1M
# PixelSize_1 = 0.000172
# PixelSize_2 = 6.283185 (I think it could avoid confusion if we give teh actual pixel size as 0.000172 for X and Y and not to give the integrated sizes. Also could there also be a modification for PixelSize_1 as on the diagonal wont it be the hypotenuse (0.000243)? and thus will be on average a bit bigger than 0.000172)
#
# title = BSA buffer
# Frame 7 of 10
# Time per frame (s) = 10
# SampleDistance = 2.43
# WaveLength = 9.31e-11
# Normalization = 0.0004885
# History-1 = saxs_angle +pass -omod n -rsys normal -da 360_deg -odim = 1 /data/id14eh3/inhouse/saxs_pilatus/Adam/EDNAtests/2d/dumdum_008_07.edf/data/id14eh3/inhouse/saxs_pilatus/Adam/EDNAtests/misc/dumdum_008_07.ang
# DiodeCurr = 0.0001592934
# MachCurr = 163.3938
# Mask = /data/id14eh3/archive/CALIBRATION/MASK/Pcon_01Jun_msk.edf
# SaxsDataVersion = 2.40
#
# N 3
# L q*nm I_BSA buffer stddev
#
# Sample Information:
# Storage Temperature (degrees C): 4
# Measurement Temperature (degrees C): 10
# Concentration: 0.0
# Code: BSA
s-vector Intensity Error
s-vector Intensity Error
s-vector Intensity Error
s-vector Intensity Error
"""
hdr = str(hdr)
headers = []
if "comments" in results:
headers.append(hdr + " " + results["comments"])
else:
headers.append(hdr)
headers.append(hdr + " Sample c= %s mg/ml" % results.get("concentration", -1))
headers += [hdr, hdr + " Sample environment:"]
if "geometry" in results:
headers.append(hdr + " Detector = %s" % results["geometry"]["detector"])
headers.append(hdr + " SampleDistance = %s" % results["geometry"]["dist"])
headers.append(hdr + " WaveLength = %s" % results["geometry"]["wavelength"])
headers.append(hdr)
if "comments" in results:
headers.append(hdr + " title = %s" % results["comment"])
if "to_merge" in results:
headers.append(hdr + " Frames merged: " + " ".join([str(i) for i in results["to_merge"]]))
if 'normalization' in results:
headers.append(hdr + " Normalization = %s" % results["normalization"])
if "mask" in results:
headers.append(hdr + " Mask = %s" % results["mask"])
headers.append(hdr)
headers.append(hdr + (" N 3" if "std" in results else " N 2"))
line = hdr + " L "
if "unit" in results:
a, b = str(results["unit"]).split("_")
line += a + "*" + b.strip("^-1") + " I_"
else:
line += "q I_"
if "comment" in results:
line += results["comments"]
if "std" in results:
line += " stddev"
headers.append(line)
headers.append(hdr)
headers.append(hdr + " Sample Information:")
if "storage temperature" in results:
headers.append(hdr + " Storage Temperature (degrees C): %s" % results["storage temperature"])
if "exposure temperature" in results:
headers.append(hdr + " Measurement Temperature (degrees C): %s" % results["exposure temperature"])
headers.append(hdr + " Concentration: %s" % results.get("concentration", -1))
if "buffer" in results:
headers.append(hdr + " Buffer: %s" % results["buffer"])
headers.append(hdr + " Code: %s" % results.get("sample", ""))
if output:
with open(output, "w") as f:
write(headers, f)
else:
f = io.StringIO()
write(headers, f)
f.seek(0)
return f.read()
if __name__ == "__main__":
main()
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from CosmoHammer_21CMMC.likelihood.ChainConstants import *
class ChainContext(object):
"""
Context holding a dict to store data and information durring the computation of the likelihood
"""
def __init__(self, parent, params):
"""
Constructor of the context
"""
self._data = dict()
self.add(PARENT_KEY, parent)
self.add(PARAMS_KEY, params)
self.add(DATA_KEY, dict())
def add(self, key, value):
"""
Adds the value to the context using the key
:param key: string
key to use
:param value: object
the value to store
"""
self._data[key] = value
def remove(self, key):
"""
Removes the value from the context
:param key: string
key to remove from the context
"""
assert key != None ("The key must not be empty!")
del(self._data[key])
def contains(self, key):
"""
Checks if the key is in the context
:param key: string
key to check
:return: True if the key is in the context
"""
return key in self._data
def get(self, key, default=None):
"""
Returns the value stored in the context at the key or the default value in the
context doesn't contain the key
:param key: string
key to use
:param default: string
the default value to use if the key is not available
"""
if(self.contains(key)):
return self._data[key]
return default
def getParams(self):
"""
Returns the currently processed parameters
:return: The param of this context
"""
return self.get(PARAMS_KEY)
def getParent(self):
"""
Returns the parent
:return: The parent chain of this context
"""
return self.get(PARENT_KEY)
def getData(self):
"""
Returns the data
:return: The data of this context
"""
return self.get(DATA_KEY)
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220,
220,
30532,
4769,
257,
8633,
284,
3650,
... | 2.07438 | 1,089 |
from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import include, path
from drf_spectacular.views import SpectacularAPIView, SpectacularSwaggerView
# API URLS
urlpatterns = [
# API base url
path(settings.ADMIN_URL, admin.site.urls),
path("api/", include("config.api_router")),
path("api/schema/", SpectacularAPIView.as_view(), name="api-schema"),
path(
"api/docs/",
SpectacularSwaggerView.as_view(url_name="api-schema"),
name="api-docs",
),
] + static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)
if settings.DEBUG:
# This allows the error pages to be debugged during development, just visit
# these url in browser to see how these error pages look like.
if "debug_toolbar" in settings.INSTALLED_APPS:
import debug_toolbar
urlpatterns = [path("__debug__/", include(debug_toolbar.urls))] + urlpatterns
| [
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6738,
42625,
14208,
13,
6371,
82,
1330,
2291,
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... | 2.736544 | 353 |
from sklearn.base import BaseEstimator, TransformerMixin
from tomotopy import LDAModel
import numpy as np
from scipy.sparse import csr_matrix, csc_matrix
"""
tw=TermWeight.ONE, min_cf=0, min_df=0, rm_top=0, k=1, alpha=0.1, eta=0.01,
seed=None, corpus=None, transform=None
"""
| [
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... | 2.469027 | 113 |
content = "my pride was beatufil"
| [
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796,
366,
1820,
11293,
373,
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346,
1,
198
] | 2.769231 | 13 |
from ray.rllib.agents.trainer import Trainer, with_common_config
__all__ = ["Trainer", "with_common_config"]
| [
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] | 2.972973 | 37 |
from unittest import TestCase
from unittest.mock import patch, Mock
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import OneHotEncoder
from .. import generate_preprocessing_steps
| [
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19... | 3.826923 | 52 |
from collections import OrderedDict
import mock
from paperspace.commands.common import CommandBase
output_response = ""
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35,
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628
] | 3.875 | 32 |
# -*- coding:utf-8 -*-
from wencai.core.crawler import Wencai
global_cn_col = False
global_proxies = None
verify = False
| [
2,
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12,
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... | 2.490196 | 51 |
from turtle import*
import turtle
setup(600,490)
bgcolor("white")
title("Curie")
estructuraquimica(5)
hideturtle()
turtle.exitonclick() | [
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7... | 2.433333 | 60 |
from flask import Flask
from flask import request, redirect, render_template
from fastai.learner import load_learner
import pathlib
from fastai.vision.core import PILImage
import platform
application = Flask(__name__)
application.config['MAX_CONTENT_LENGTH'] = 12 * 1024 * 1024
MIN_STANDARD = 0.9
# Workaround pytorch issue with models developed on linux being used on Windows
if platform.system() == 'Windows':
pathlib.PosixPath = pathlib.WindowsPath
ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg', 'gif'}
learn_inf = load_learner('flag_export.pkl', cpu=True)
@application.route("/upload-image/", methods=["GET", "POST"])
@application.route('/')
if __name__ == '__main__':
application.run()
| [
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... | 3.091703 | 229 |
"""
Functions that automate expressive functions of tcrdist3.
These use sensible defaults but users should consider
flexibile elements of these functions that might better
suit their specific data or research questions.
"""
import os
import pandas as pd
import numpy as np
import warnings
from progress.bar import IncrementalBar
"""
Test Automatic Pgen Esimator Functions
"""
def auto_pgen(tcrrep):
"""
Automate a pgen estimation of cdr3s alpha/beta given a tcrrep with a clones_df attribute
Parameters
----------
tcrrep : tcrdist.repertoire.TCRrep
TCRrep instance with a clone_df
Returns
-------
tcrrep : tcrdist.repertoire.TCRrep
tcrrep : tcrdist.repertoire.TCRrep
TCRrep instance with a clone_df
"""
if tcrrep.organism == "mouse" and 'alpha' in tcrrep.chains:
raise ValueError("UNFORTUNATELY OLGA DOES NOT YET SUPPORT MOUSE ALPHA PGEN ESTIMATES")
for chain in tcrrep.chains:
tcrrep = _auto_pgen(tcrrep=tcrrep, organism = tcrrep.organism, chain = chain, ncpus = tcrrep.cpus)
return tcrrep
def _auto_pgen(tcrrep = None, organism = 'human', chain = 'beta', ncpus = 2):
"""
Automate a pgen estimation of cdr3s alpha/beta given a tcrrep with a clones_df attribute
Parameters
----------
tcrrep : tcrdist.repertoire.TCRrep
TCRrep instance with a clone_df
organism : str
'human' or 'mouse'
chain : str
'beta' or 'alpha'
Returns
-------
tcrrep : tcrdist.repertoire.TCRrep
"""
import tcrdist
import parmap
import pandas as pd
from tcrdist.pgen import OlgaModel
assert organism in ['human', 'mouse']
assert chain in ['beta', 'alpha']
assert isinstance(tcrrep, tcrdist.repertoire.TCRrep)
assert isinstance(tcrrep.clone_df, pd.DataFrame)
cdr3_col = {'alpha': 'cdr3_a_aa', 'beta': 'cdr3_b_aa'}[chain]
cdr3s = tcrrep.clone_df[cdr3_col]
olga_models = {
('human', 'beta') :
OlgaModel(chain_folder = "human_T_beta", recomb_type="VDJ"),
('human', 'alpha') :
OlgaModel(chain_folder = "human_T_alpha", recomb_type="VJ"),
('mouse', 'beta') :
OlgaModel(chain_folder = "mouse_T_beta", recomb_type="VDJ")}
olga_model = olga_models[(organism, chain)]
pgens = parmap.map(olga_model.compute_aa_cdr3_pgen, cdr3s, pm_pbar = True, pm_processes = ncpus)
tcrrep.clone_df[f"pgen_{cdr3_col}"] = pgens
return tcrrep
def _default_tcrsampler_human_beta(default_background = None, default_background_if_missing=None):
"""
Responsible for providing the default human beta sampler 'britanova_human_beta_t_cb.tsv.sampler.tsv'
Returns
-------
t : tcrsampler.sampler.TCRsampler
"""
from tcrsampler.sampler import TCRsampler
if default_background is None:
default_background = 'britanova_human_beta_t_cb.tsv.sampler.tsv'
if default_background_if_missing is None:
default_background_if_missing ='britanova_human_beta_t_cb.tsv.sampler.tsv.zip'
print(default_background)
try:
t = TCRsampler(default_background=default_background)
except OSError:
t = TCRsampler()
t.download_background_file(default_background_if_missing)
t = TCRsampler(default_background=default_background)
return t
def _default_tcrsampler_human_alpha(default_background = None, default_background_if_missing=None ):
"""
Responsible for providing the default human alpha sampler 'ruggiero_human_alpha_t.tsv.sampler.tsv'
"""
from tcrsampler.sampler import TCRsampler
if default_background is None:
default_background = 'ruggiero_human_alpha_t.tsv.sampler.tsv'
if default_background_if_missing is None:
default_background_if_missing = 'ruggiero_human_alpha_t.tsv.sampler.tsv.zip'
print(default_background)
try:
t = TCRsampler(default_background=default_background)
except OSError:
t = TCRsampler()
t.download_background_file(default_background_if_missing)
t = TCRsampler(default_background=default_background)
return t
def _default_tcrsampler_mouse_beta(default_background = None, default_background_if_missing=None):
"""
Responsible for providing the default mouse beta sampler
Returns
-------
t : tcrsampler.sampler.TCRsampler
"""
from tcrsampler.sampler import TCRsampler
if default_background is None:
default_background = 'ruggiero_mouse_beta_t.tsv.sampler.tsv'
if default_background_if_missing is None:
default_background_if_missing = 'ruggiero_mouse_sampler.zip'
print(default_background)
try:
t = TCRsampler(default_background=default_background)
except OSError:
t = TCRsampler()
t.download_background_file(default_background_if_missing)
t = TCRsampler(default_background=default_background)
return t
def _default_tcrsampler_mouse_alpha(default_background = None, default_background_if_missing=None):
"""
Responsible for providing the default mouse alpha sampler
"""
from tcrsampler.sampler import TCRsampler
if default_background is None:
default_background = 'ruggiero_mouse_alpha_t.tsv.sampler.tsv'
if default_background_if_missing is None:
default_background_if_missing = 'ruggiero_mouse_sampler.zip'
print(default_background)
try:
t = TCRsampler(default_background=default_background)
except OSError:
t = TCRsampler()
t.download_background_file(default_background_if_missing)
t = TCRsampler(default_background=default_background)
return t
| [
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286,
777,
5499,
326,
1244,
1365,
220,
198,
6063,
511,
2176... | 2.708181 | 1,919 |
from django.db import models
from django.contrib.auth.models import User
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# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'item_list.ui'
#
# by: pyside-uic 0.2.15 running on PySide 1.2.2
#
# WARNING! All changes made in this file will be lost!
from tank.platform.qt import QtCore, QtGui
from . import resources_rc
| [
2,
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220,
220,
220,
220,
416,
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485,
12,
84,
29... | 2.715686 | 102 |
"""
*War*
Parameters that govern the evaluation process that compares
the current neural network with the best one seen so far
(which is used to generate data).
"""
from dataclasses import dataclass
"""
# Explanation (two-player games)
* The two competing networks are instantiated into two MCTS players
of parameter `mcts` and then play `sim.num_games` games.
* The evaluated network replaces the current best one if its
average collected reward is greater or equal than `update_threshold`.
# Explanation (single-player games)
* The two competing networks play `sim.num_games` games each.
* The evaluated network replaces the current best one if its average collected rewards
exceeds the average collected reward of the old one by `update_threshold` at least.
"""
"""
# Remarks
+ See [`necessary_samples`](@ref) to make an informed choice for `sim.num_games`.
# AlphaGo Zero Parameters
In the original AlphaGo Zero paper, 400 games are played to evaluate a network
and the `update_threshold` parameter is set to a value that corresponds to a
55% win rate.
"""
| [
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220,
357,
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318,
973,
284,
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737,
198,
1... | 3.782007 | 289 |
import numbers
import pytest
TESTSET = [
(
{'blob': {'$types': ['string']}},
lambda x: isinstance(x['blob'], str)
), (
{'blob': {'$types': ['number']}},
lambda x: isinstance(x['blob'], numbers.Number)
), (
{'blob': {'$types': ['boolean']}},
lambda x: isinstance(x['blob'], bool)
), (
{'blob': {'$types': ['array']}},
lambda x: isinstance(x['blob'], list)
), (
{'blob': {'$types': ['object']}},
lambda x: isinstance(x['blob'], dict)
), (
{'blob': {'$types': ['object', 'array']}},
lambda x: isinstance(x['blob'], (dict, list))
), (
{'status': {'$types': ['string']}},
lambda x: False
), (
{'status': {'$types': ['boolean']}},
lambda x: False
), (
{'name': {'$types': ['number']}},
lambda x: False
), (
{'name': {'$types': ['array']}},
lambda x: False
), (
{'name': {'$types': ['object']}},
lambda x: False
), (
{'name': {'$types': []}},
lambda x: False
)
]
@pytest.mark.parametrize('spec', TESTSET)
ERRORSET = [
{'name': {'$types': ['asdfw']}}
]
@pytest.mark.parametrize('spec', ERRORSET)
| [
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198,
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51,
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198,
220,
220,
220,
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1391,
6,
3,
19199,
10354,
37250,
8841,
20520,
92,
5512,
198,... | 1.939063 | 640 |
import click
from esque.cli.options import State, default_options
from .consumergroup import create_consumergroup
from .topic import create_topic
@click.group(help="Create a new instance of a resource.", no_args_is_help=True)
@default_options
create.add_command(create_consumergroup)
create.add_command(create_topic)
| [
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198,
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11,
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388,
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3233,
198,
6738,
764,
26652,
1330,
2251,
62,
26652,
628,
198,... | 3.262626 | 99 |
########################################
# Automatically generated, do not edit.
########################################
from pyvisdk.thirdparty import Enum
NetBIOSConfigInfoMode = Enum(
'disabled',
'enabled',
'enabledViaDHCP',
'unknown',
)
| [
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3483,
2640,
16934,
12360,
19076,
796,
2039,
388,
7,
198,
220... | 3.506667 | 75 |
""" """
from sklearn.model_selection import train_test_split
from memobuilder import mtrainer as memotrainer
from memobuilder.mdb import memomodel
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198,
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201,
198,
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1066,
672,
3547,
263,... | 2.803571 | 56 |
# -*- coding: utf-8 -*-
#!/usr/bin/env python3
#
# Copyright (C) 2019 Intel Corporation. All rights reserved.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
#
import ctypes
from wamr.ffi import *
if __name__ == "__main__":
main()
| [
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220,
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2489,
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13,
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2,
30628,
55,
12,
34156,... | 2.561224 | 98 |
import click
from calm.dsl.api import get_api_client
from .main import main, get, describe, delete, run, watch, download, create
from .utils import Display, FeatureFlagGroup
from .apps import (
get_apps,
describe_app,
run_actions,
watch_action,
watch_app,
delete_app,
download_runlog,
create_app,
)
from calm.dsl.log import get_logging_handle
LOG = get_logging_handle(__name__)
@create.command("app")
@click.option(
"--file",
"-f",
"bp_file",
type=click.Path(exists=True, file_okay=True, dir_okay=False, readable=True),
required=True,
help="Path of Blueprint file to upload",
)
@click.option(
"--brownfield_deployments",
"-b",
"brownfield_deployment_file",
type=click.Path(exists=True, file_okay=True, dir_okay=False, readable=True),
help="Path of Brownfield Deployment file",
)
@click.option(
"--name", "-n", "app_name", default=None, help="Application name (Optional)"
)
@click.option(
"--ignore_runtime_variables",
"-i",
is_flag=True,
default=False,
help="Ignore runtime variables and use defaults while launching blueprint",
)
@click.option(
"--launch_params",
"-l",
type=click.Path(exists=True, file_okay=True, dir_okay=False, readable=True),
help="Path to python file for runtime editables",
)
def _create_app(
app_name,
bp_file,
brownfield_deployment_file,
ignore_runtime_variables,
launch_params,
):
"""Creates an application.
\b
Command consumes a dsl blueprint file and creates a blueprint from it.
If created blueprint is in ACTIVE state, then it got launched to create an application.
"""
create_app(
app_name=app_name,
bp_file=bp_file,
patch_editables=not ignore_runtime_variables,
launch_params=launch_params,
brownfield_deployment_file=brownfield_deployment_file,
)
@get.command("apps")
@click.option("--name", "-n", default=None, help="Search for apps by name")
@click.option(
"--filter", "filter_by", "-f", default=None, help="Filter apps by this string"
)
@click.option("--limit", "-l", default=20, help="Number of results to return")
@click.option(
"--offset", "-s", default=0, help="Offset results by the specified amount"
)
@click.option(
"--quiet", "-q", is_flag=True, default=False, help="Show only application names"
)
@click.option(
"--all-items", "-a", is_flag=True, help="Get all items, including deleted ones"
)
@click.option(
"--out",
"-o",
"out",
type=click.Choice(["text", "json"]),
default="text",
help="output format",
)
def _get_apps(name, filter_by, limit, offset, quiet, all_items, out):
"""Get Apps, optionally filtered by a string"""
get_apps(name, filter_by, limit, offset, quiet, all_items, out)
@describe.command("app")
@click.argument("app_name")
@click.option(
"--out",
"-o",
"out",
type=click.Choice(["text", "json"]),
default="text",
help="output format",
)
def _describe_app(app_name, out):
"""Describe an app"""
describe_app(app_name, out)
@run.command("action")
@click.argument("action_name")
@click.option(
"--app",
"app_name",
"-a",
default=None,
required=True,
help="Watch action run in an app",
)
@click.option("--watch/--no-watch", "-w", default=False, help="Watch scrolling output")
def _run_actions(app_name, action_name, watch):
"""App lcm actions"""
render_actions = display_with_screen(app_name, action_name, watch)
Display.wrapper(render_actions, watch)
@watch.command("action_runlog")
@click.argument("runlog_uuid")
@click.option(
"--app",
"app_name",
"-a",
default=None,
required=True,
help="Watch action run in an app",
)
@click.option(
"--poll-interval",
"poll_interval",
"-p",
type=int,
default=10,
show_default=True,
help="Give polling interval",
)
def _watch_action_runlog(runlog_uuid, app_name, poll_interval):
"""Watch an app"""
Display.wrapper(display_action, watch=True)
LOG.info("Action run {} completed for app {}".format(runlog_uuid, app_name))
@watch.command("app")
@click.argument("app_name")
@click.option(
"--poll-interval",
"poll_interval",
"-p",
type=int,
default=10,
show_default=True,
help="Give polling interval",
)
def _watch_app(app_name, poll_interval):
"""Watch an app"""
Display.wrapper(display_action, watch=True)
LOG.info("Action runs completed for app {}".format(app_name))
@download.command("action_runlog")
@click.argument("runlog_uuid")
@click.option(
"--app", "app_name", "-a", required=True, help="App the action belongs to"
)
@click.option("--file", "file_name", "-f", help="How to name the downloaded file")
def _download_runlog(runlog_uuid, app_name, file_name):
"""Download runlogs, given runlog uuid and app name"""
download_runlog(runlog_uuid, app_name, file_name)
@delete.command("app")
@click.argument("app_names", nargs=-1)
@click.option("--soft", "-s", is_flag=True, default=False, help="Soft delete app")
def _delete_app(app_names, soft):
"""Deletes an application"""
delete_app(app_names, soft)
@main.group(cls=FeatureFlagGroup)
def start():
"""Start entities"""
pass
@main.group(cls=FeatureFlagGroup)
def stop():
"""Stop entities"""
pass
@main.group(cls=FeatureFlagGroup)
def restart():
"""Restart entities"""
pass
@start.command("app")
@click.argument("app_name")
@click.option("--watch/--no-watch", "-w", default=False, help="Watch scrolling output")
def start_app(app_name, watch):
"""Starts an application"""
render_actions = display_with_screen(app_name, "start", watch)
Display.wrapper(render_actions, watch)
@stop.command("app")
@click.argument("app_name")
@click.option("--watch/--no-watch", "-w", default=False, help="Watch scrolling output")
def stop_app(app_name, watch):
"""Stops an application"""
render_actions = display_with_screen(app_name, "stop", watch)
Display.wrapper(render_actions, watch)
@restart.command("app")
@click.argument("app_name")
@click.option("--watch/--no-watch", "-w", default=False, help="Watch scrolling output")
def restart_app(app_name, watch):
"""Restarts an application"""
render_actions = display_with_screen(app_name, "restart", watch)
Display.wrapper(render_actions, watch)
| [
11748,
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198,
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9480,
13,
67,
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1330,
651,
62,
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62,
16366,
198,
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11,
651,
11,
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11,
1057,
11,
2342,
11,
4321,
11,
2251,
198,
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764,
26791,
1330,
... | 2.660125 | 2,395 |
from django.db import models
from users.models import CustomUser
| [
6738,
42625,
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13,
9945,
1330,
4981,
198,
198,
6738,
2985,
13,
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1330,
8562,
12982,
628
] | 3.941176 | 17 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Window manager
Coordinates in (y, x) to be consistent with curses
"""
from soundground import metadata, utils
import curses
import time
class Value(object):
"""
Defines a number used for relative calculations
"""
def apply(self, target):
"""
Applies the percentage value to a target
"""
if type(self) is Value:
return int(round((self.value / 100) * target) + self.bias)
else:
return int(round(self))
class WindowGroup(object):
"""
A group of windows
"""
def __init__(self, stdscr):
"""
Initialization
"""
self.windows = {}
self.stdscr = stdscr
self.extra_draws = []
def __getitem__(self, name):
"""
Returns a window by its name
"""
return self.windows[name].window
def draw(self):
"""
Refresh all windows
"""
self.stdscr.clear()
for name in self.windows:
window = self.windows[name].window
window.overwrite(self.stdscr)
window.noutrefresh()
# Also refresh extra stuff (e.g. SelectableList)
for instance in self.extra_draws:
instance.draw()
curses.doupdate()
def resize(self):
"""
Resizes windows based on their percent values
"""
curses.endwin()
height, width = self.stdscr.getmaxyx()
self.stdscr.move(height - 1, 0)
for name in self.windows:
window = self.windows[name]
window.resize(height, width)
self.draw()
def create_window(self, name, y, x, h, w):
"""
Creates a new window, accepting either integer or Value
"""
if name in self.windows:
raise Exception("Window exists!")
ymax, xmax = (curses.LINES, curses.COLS)
self.windows[name] = RelativeWindow(y, x, h, w, self.stdscr)
class RelativeWindow(object):
"""
Windows with relative sizes
"""
def __init__(self, y, x, h, w, stdscr):
"""
Initialize sizes
"""
self.y = y
self.x = x
self.h = h
self.w = w
self.window = curses.newwin(1, 1, 0, 0)
ymax, xmax = stdscr.getmaxyx()
self.resize(ymax, xmax)
pass
def resize(self, height, width):
"""
Resize window based on actual size
"""
new_y = Value.apply(self.y, height)
new_x = Value.apply(self.x, width)
new_height = Value.apply(self.h, height)
new_width = Value.apply(self.w, width)
self.window.resize(new_height, new_width)
self.window.mvwin(new_y, new_x)
class SelectableList(object):
"""
Implements a scrollable list with selectable items
"""
def draw(self):
"""
Redraw list
"""
self.window.clear()
height, width = self.window.getmaxyx()
for offset in range(height):
index = self.scrollpos + offset
if index >= len(self.items):
# No more items to draw
break
item = self.items[index]
# Highlight selected item
attr = curses.A_NORMAL
if self.active and index == self.selected:
attr = curses.A_REVERSE
padded = item['caption'].ljust(width)
try:
self.window.addstr(offset, 0, padded, attr)
except:
pass
self.window.refresh()
def add(self, caption, selectable=True, value=None):
"""
Add an item to the list and draws it
An item is a map with the following keys:
- caption: the text displayed on the list
- selectable: if False, the item will skip selection
- value: a custom value, could be used to specify a command to be
executed when selected
- info: some additional info
"""
if value == None:
value = caption
self.items.append({
'caption': caption,
'selectable': selectable,
'value': value,
'info': {}
})
self.draw()
def remove(self, index):
"""
Remove an item by its index
"""
self.items.pop(index)
self.draw()
def select(self, index, relative=True):
"""
Highlight an item by its index. If relative, the current selection index
will be incremented by the index parameter instead of being set.
"""
if len(self.items) < 1:
return False
if relative:
self.selected += index
else:
self.selected = index
# Make sure selection doesn't go out of bounds
if self.selected < 0:
self.selected = 0
elif self.selected >= len(self.items):
self.selected = len(self.items) - 1
# Skip unselectable items
while not self.items[self.selected]['selectable']:
if not relative:
return False
self.selected += index
# Prevent overflow
if self.selected < 0 or self.selected >= len(self.items):
self.selected -= 2 * index
# Update scroll position
height, width = self.window.getmaxyx()
if self.selected + 1 >= self.scrollpos + height:
self.scrollpos = self.selected - height + 1
elif self.selected < self.scrollpos:
self.scrollpos = self.selected
self.draw()
class StatusLine(object):
"""
Manages the bottom status bar text
"""
SYM_PLAY = u"\u25B6"
SYM_PAUSE = u"\u23F8"
def draw(self):
"""
Redraw status bar
"""
self.window.erase()
# Fetch some parameters
playing = self.SYM_PLAY if self.player.is_playing() else self.SYM_PAUSE
title = self.player.get_title()
t_total = utils.format_millis(self.player.get_length())
t_now = utils.format_millis(self.player.get_position() * self.player.get_length())
vol = self.player.audio_get_volume()
# Format params
text = "[ {} ] {} [{}/{}] | Vol: {}"
formatted = text.format(playing, title, t_now, t_total, vol)
# Override status text if present
if self.override_text != None and self.override_cycles > 0:
formatted = self.override_text
self.override_cycles -= 1
# Draw to screen
try:
self.window.addstr(0, 0, formatted)
self.window.refresh()
except:
pass
def notify(self, text):
"""
Shows text in the status bar until next refresh or manually dismissed
"""
self.override_text = text
self.override_cycles = 30
self.draw()
def dismiss(self):
"""
Dismiss notification text
"""
self.override_cycles = 0
self.draw()
def prompt(self, text, hidden=False):
"""
Prompts the user for input
Keystrokes will be hidden if hidden is True
"""
import curses.textpad
self.prompting = True
self.prompt_hidden = hidden
self.window.clear()
try:
self.window.addstr(0, 0, text)
self.window.refresh()
except:
pass
box = curses.textpad.Textbox(self.window)
box.edit(self._prompt_validator)
while self.prompting:
# Block until user finishes input
time.sleep(0.1)
if hidden:
return self.prompt_value
else:
return box.gather()[len(text):].strip()
def _prompt_validator(self, char):
"""
Listens for keystrokes on prompt
"""
if char == 10:
# Line feed (Enter/Return)
self.prompting = False
return char
# If hidden (password mode)
if self.prompt_hidden:
if char == curses.KEY_BACKSPACE:
# Backspace
self.prompt_value = self.prompt_value[:-1]
return char
if char < 32 or char > 126:
# Only allow printable characters
return 0
self.prompt_value += chr(char)
# Replace printable characters with asterisks
return ord('*')
self.prompt_value = ''
return char
| [
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14,
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198,
2,
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9,
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198,
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287,
357,
88,
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8,
284,
307,
6414,
351,
43878,
198,
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19... | 2.103957 | 4,069 |
from .interactive_image import InteractiveImage
from .graph_inspect_widget import CustomInspectTool
from .graph_assets import calc_connected_edges
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276,
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198
] | 3.972973 | 37 |
#!usr/bin/env python
# -*- coding: utf-8 -*-
# author: kuangdd
# date: 2019/12/15
"""
语音处理工具箱。
生成whl格式安装包：python setup.py bdist_wheel
直接上传pypi：python setup.py sdist upload
用twine上传pypi：
生成安装包：python setup.py bdist_wheel
上传安装包：twine upload dist/phkit-0.3.0-py3-none-any.whl
注意：需要在home目录下建立.pypirc配置文件，文件内容格式：
[distutils]
index-servers=pypi
[pypi]
repository = https://upload.pypi.org/legacy/
username: admin
password: admin
"""
from setuptools import setup, find_packages
import os
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(os.path.splitext(os.path.basename(__file__))[0])
install_requires = ['pypinyin>=0.41.0', 'hanziconv', 'jieba>=0.42.1', 'tqdm', 'inflect', 'unidecode']
requires = install_requires
pip_install()
phkit_doc = create_readme()
from phkit import __version__ as phkit_version
setup(
name="phkit",
version=phkit_version,
author="kuangdd",
author_email="kuangdd@foxmail.com",
description="phoneme toolkit",
long_description=phkit_doc,
long_description_content_type="text/markdown",
url="https://github.com/KuangDD/phkit",
packages=find_packages(exclude=['contrib', 'docs', 'tests*']),
install_requires=install_requires, # 指定项目最低限度需要运行的依赖项
python_requires='>=3.5', # python的依赖关系
package_data={
'txt': ['requirements.txt'],
'md': ['**/*.md', '*.md'],
}, # 包数据，通常是与软件包实现密切相关的数据
classifiers=[
'Intended Audience :: Developers',
'Topic :: Software Development :: Build Tools',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
"Operating System :: OS Independent",
],
)
if __name__ == "__main__":
print(__file__)
| [
2,
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2,
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14,
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198,
37811,
198,
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255,
165,
253,
... | 1.989119 | 919 |
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.optim as optim
import torchvision.transforms as transforms
import torchvision.datasets as datasets
from convex_adversarial import robust_loss
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... | 3.864407 | 59 |