blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 2 616 | content_id stringlengths 40 40 | detected_licenses listlengths 0 69 | license_type stringclasses 2
values | repo_name stringlengths 5 118 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringlengths 4 63 | visit_date timestamp[us] | revision_date timestamp[us] | committer_date timestamp[us] | github_id int64 2.91k 686M ⌀ | star_events_count int64 0 209k | fork_events_count int64 0 110k | gha_license_id stringclasses 23
values | gha_event_created_at timestamp[us] | gha_created_at timestamp[us] | gha_language stringclasses 220
values | src_encoding stringclasses 30
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 2 10.3M | extension stringclasses 257
values | content stringlengths 2 10.3M | authors listlengths 1 1 | author_id stringlengths 0 212 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9f97c3ea0bbe2352686a45e16d7aefe21da6a52b | 6e6d84af8ed3722237021ae4041299edc01f37a4 | /src/libary/secure.py | 481d56fcea57633c91a0326b3f8e97bd04765589 | [] | no_license | XBMC-Addons/script.game.snake | 3831cfbf0e4cbf3c2849658a65f94c63675baf0e | a82734b59244656aa6ee24c7025a4745af68671a | refs/heads/master | 2021-01-13T01:37:01.309832 | 2013-10-18T18:34:58 | 2013-10-18T18:34:58 | 13,685,950 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,058 | py |
import os
class Secure:
def check_level(self, path):
self.all_walls = 0
self.the_speed = 0
if os.path.exists(path):
self.aefile = path
else:
return -1
f = open(self.aefile, 'r')
self.xmldata = f.read()
f.close()
self.walldata = self.xmldata.split('<walls>')[1].split('</walls>')[0].split('\n')
for wall in self.walldata:
if (wall.strip() != ''):
wallx = (int(wall.split('<x>')[1].split('</x>')[0]) - 1)
wally = (int(wall.split('<y>')[1].split('</y>')[0]) - 1)
self.all_walls += wallx
self.all_walls += wallx
self.speeddata = self.xmldata.split('<speed>')[1].split('</speed>')[0].split('\n')
self.the_speed = int(self.speeddata[0])
try:
self.keydata = self.xmldata.split('<key>')[1].split('</key>')[0].split('\n')
self.the_key = int(self.keydata[0])
except:
return -2
self.value = ((self.all_walls * self.the_speed) / 17)
if (self.value == self.the_key):
return 1
else:
return 0
def get_key(self, path):
self.all_walls = 0
self.the_speed = 0
if os.path.exists(path):
self.aefile = path
else:
return -1
f = open(self.aefile, 'r')
self.xmldata = f.read()
f.close()
self.walldata = self.xmldata.split('<walls>')[1].split('</walls>')[0].split('\n')
for wall in self.walldata:
if (wall.strip() != ''):
wallx = (int(wall.split('<x>')[1].split('</x>')[0]) - 1)
wally = (int(wall.split('<y>')[1].split('</y>')[0]) - 1)
self.all_walls += wallx
self.all_walls += wallx
self.speeddata = self.xmldata.split('<speed>')[1].split('</speed>')[0].split('\n')
self.the_speed = int(self.speeddata[0])
self.value = ((self.all_walls * self.the_speed) / 17)
return self.value
| [
"mcm.kaijser@gmail.com"
] | mcm.kaijser@gmail.com |
4e5cf2859bc47856fc6afbf3e6b4155ba52f7699 | 524b2ef7ace38954af92a8ed33e27696f4f69ece | /montecarlo4fms/problems/reverse_engineering/models/__init__.py | 91381dc8abcd561b7131ac0ef6fc8c47867e8c6c | [] | no_license | jmhorcas/montecarlo_analysis | ebf9357b0ede63aa9bcdadb6a5a30a50ad7460eb | 2319838afb0f738125afc081fc4b58a0d8e2faee | refs/heads/main | 2023-06-24T19:05:36.485241 | 2021-07-20T08:24:06 | 2021-07-20T08:24:06 | 363,059,338 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 53 | py | from .fm_state import FMState
__all__ = ['FMState']
| [
"miguelijordan@gmail.com"
] | miguelijordan@gmail.com |
d79f6da6679e3021c09281d19ab8ea23b125c80e | 4723f7b2908c90f8b2430f7c500efc42be6c348b | /Python/tool/remote.py | 232e8713c2eb1b8b1352f38cbf87f5fc2a3b8f8e | [] | no_license | rheehot/tool_public | 776ab3ac25d9b7950ced6452d5a9395f6ee0faa0 | 9f60048ead83630fb310cd214b082cf0a895fd2d | refs/heads/master | 2022-11-08T01:40:58.056350 | 2020-06-23T08:35:46 | 2020-06-23T08:35:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,392 | py | import struct
from .definition import ArrayTypeDefinition, TypeDefinition, PointerTypeDefinition, ClassDefinition, ForwardedObject
def unpack(size, data, unsigned = False):
if size == 8:
fmt = '<q'
elif size == 4:
fmt = '<i'
elif size == 2:
fmt = '<h'
elif size == 1:
fmt = '<b'
if unsigned:
fmt = fmt.upper()
return struct.unpack(fmt, bytes(data))[0]
def pack(size, data, unsigned = False):
if size == 8:
fmt = '<q'
elif size == 4:
fmt = '<i'
elif size == 2:
fmt = '<h'
elif size == 1:
fmt = '<b'
if unsigned:
fmt = fmt.upper()
return [x for x in struct.pack(fmt, data)]
def unpack_float(size, data):
if size == 8:
fmt = '<d'
elif size == 4:
fmt = '<f'
return struct.unpack(fmt, bytes(data))[0]
class RemoteObject(object):
def __init__(self, bridge, address):
self._bridge = bridge
self._address = address
@property
def address(self):
return self._address
class RemoteClass(RemoteObject):
def __init__(self, bridge, address, definition):
super().__init__(bridge, address)
self._definition = definition
def _get(self, key):
definitions = [self._definition] + self._definition.bases
field = None
for definition in definitions:
try:
field = definition.get(key)
except AttributeError:
continue
break
if not field:
raise NameError('No such field ' + key)
if 'index' in field:
return instantiate_vfn(self._bridge, self._address, field['index'])
return instantiate(self._bridge, self._address + field['offset'], field['definition'])
def __getattr__(self, key):
value = self._get(key)
if isinstance(value, RemoteVariable):
return value.get()
return value
def __setattr__(self, key, value):
if key in ['_bridge', '_definition', '_address']:
object.__setattr__(self, key, value)
return
result = self._get(key)
if not isinstance(result, RemoteVariable):
raise AttributeError
result.set(value)
def cast(self, definition):
return RemoteClass(self._bridge, self._address, definition)
class RemoteVariable(RemoteObject):
def __init__(self, bridge, address, size):
super().__init__(bridge, address)
self._size = size
def get(self):
return self._bridge.read_memory(self._address, self._size)
def set(self, value):
if len(value) != self._size:
raise AssertionError('Invalid size')
return self._bridge.write_memory(self._address, value)
class RemoteArray(RemoteObject):
def __init__(self, bridge, address, definition):
super().__init__(bridge, address)
self._element_type = definition.element_type
self._total_size = definition.size
def __getitem__(self, key):
if not isinstance(key, int):
raise TypeError()
if key * self._element_type.size >= self._total_size:
raise IndexError()
value = instantiate(self._bridge, self._address + key * self._element_type.size, self._element_type)
if isinstance(value, RemoteVariable):
return value.get()
return value
class RemoteInteger(RemoteVariable):
def __init__(self, bridge, address, definition):
super().__init__(bridge, address, definition if isinstance(definition, int) else definition.size)
def get(self):
data = super().get()
return unpack(self._size, data)
def set(self, data):
super().set(pack(self._size, data))
def __bool__(self):
return self.get() != 0
def __int__(self):
return self.get()
class RemoteFloat(RemoteVariable):
def __init__(self, bridge, address, definition):
super().__init__(bridge, address, definition.size)
def get(self):
data = super().get()
return unpack_float(self._size, data)
def __bool__(self):
return self.get() != 0
def __int__(self):
return self.get()
class RemoteFunction(RemoteObject):
def __init__(self, bridge, patternOrAddress):
address = patternOrAddress
if isinstance(patternOrAddress, list):
address = bridge.search_pattern(patternOrAddress) - len(patternOrAddress)
super().__init__(bridge, address)
self._this = 0
def bind_this(self, this):
self._this = this
def __call__(self, *args):
return self._bridge.call_function_mainthread(self._address, True, self._this, [int(x) for x in args])
def this_call(self, this, *args):
self._this = this
self.__call__(*args)
type_map = {'double': RemoteFloat,
'float': RemoteFloat,
'unsigned': RemoteInteger}
def instantiate(bridge, address, definition):
if isinstance(definition, ForwardedObject):
definition = definition.get_real()
spelling = definition.spelling
if spelling in type_map:
return type_map[spelling](bridge, address, definition)
else:
if isinstance(definition, ArrayTypeDefinition):
return RemoteArray(bridge, address, definition)
for i in type_map:
if spelling.startswith(i):
return type_map[i](bridge, address, definition)
if isinstance(definition, ClassDefinition):
return RemoteClass(bridge, address, definition)
elif isinstance(definition, PointerTypeDefinition):
return instantiate(bridge, unpack(definition.size, bridge.read_memory(address, definition.size)), definition.pointee)
return RemoteVariable(bridge, address, definition.size)
def register_type(name, clazz):
type_map[name] = clazz
def instantiate_vfn(bridge, address, index): #TODO won't work if class have multiple vtables(multiple inheritance)
pointer_size = 8
if bridge.is_32bit():
pointer_size = 4
vtable_base = unpack(pointer_size, bridge.read_memory(address, pointer_size), True)
function_base = unpack(pointer_size, bridge.read_memory(vtable_base + index * pointer_size, pointer_size), True)
result = RemoteFunction(bridge, function_base)
result.bind_this(address)
return result | [
"dlunch@gmail.com"
] | dlunch@gmail.com |
210ea9a60a611db409d76c3c0405210c78d2cfcc | 2b7cd8141d6c17572c05d4d70e3e616e02449e72 | /python/GafferSceneUI/CollectScenesUI.py | 341298801206215eb7677d5fcea14b99ce048bf9 | [
"BSD-3-Clause"
] | permissive | gray10b/gaffer | 45aefd4ebbf515d5b491777a3bfd027d90715114 | 828b3b59f1154b0a14020cbf9a292c9048c09968 | refs/heads/master | 2021-01-02T09:11:13.137347 | 2017-08-04T05:07:31 | 2017-08-04T05:07:31 | 99,158,553 | 0 | 0 | null | 2017-08-02T20:34:13 | 2017-08-02T20:34:13 | null | UTF-8 | Python | false | false | 3,233 | py | ##########################################################################
#
# Copyright (c) 2017, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above
# copyright notice, this list of conditions and the following
# disclaimer.
#
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following
# disclaimer in the documentation and/or other materials provided with
# the distribution.
#
# * Neither the name of John Haddon nor the names of
# any other contributors to this software may be used to endorse or
# promote products derived from this software without specific prior
# written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
# IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
##########################################################################
import Gaffer
import GafferScene
Gaffer.Metadata.registerNode(
GafferScene.CollectScenes,
"description",
"""
Builds a scene by bundling multiple input scenes together, each
under their own root location. Instead of using an array of inputs
like the Group node, a single input is used instead, and a context
variable is provided so that a different hierarchy can be generated
under each root location. This is especially powerful for building
dynamic scenes where the number of inputs is not known prior to
building the node graph.
Since merging globals from multiple scenes often doesn't make sense,
the output globals are taken directly from the scene corresponding to
`rootNames[0]`.
""",
plugs = {
"rootNames" : [
"description",
"""
The names of the locations to create at the root of
the output scene. The input scene is copied underneath
each of these root locations.
Often the rootNames will be driven by an expression that generates
a dynamic number of root locations, perhaps by querying an asset
management system or listing cache files on disk.
""",
],
"rootNameVariable" : [
"description",
"""
The name of a context variable that is set to the current
root name when evaluating the input scene. This can be used
in upstream expressions and string substitutions to generate
a different hierarchy under each root location.
""",
],
}
)
| [
"thehaddonyoof@gmail.com"
] | thehaddonyoof@gmail.com |
3a3694b3fc5cfb0ae2e8710bfd56f996e65c15f2 | eaf3682788bfc946e2d1b36696fb973cc547ef37 | /Layouts/Dialogs/Ambulances/ambulancesList.py | f96aed95f6fb555f3c8e82b8d124ae556881b15a | [] | no_license | bits-magnet/MDTouch | 6096bdc365ca6f6577bb56920a431c9df072baf7 | 5ad053667febb825332bbca96603ae9f3d1a304e | refs/heads/master | 2020-04-13T05:32:06.971336 | 2019-01-10T08:43:26 | 2019-01-10T08:43:26 | 162,994,938 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,746 | py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'ambulancesList.ui'
#
# Created by: PyQt5 UI code generator 5.11.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Form(object):
def setupUi(self, Form):
Form.setObjectName("Form")
Form.resize(640, 480)
self.frame = QtWidgets.QFrame(Form)
self.frame.setGeometry(QtCore.QRect(10, 10, 621, 421))
self.frame.setFrameShape(QtWidgets.QFrame.StyledPanel)
self.frame.setFrameShadow(QtWidgets.QFrame.Raised)
self.frame.setObjectName("frame")
self.ambulanceListLabel = QtWidgets.QLabel(self.frame)
self.ambulanceListLabel.setGeometry(QtCore.QRect(210, 0, 191, 41))
self.ambulanceListLabel.setStyleSheet("font-size:14pt;\n"
"font-weight: bold;")
self.ambulanceListLabel.setObjectName("ambulanceListLabel")
self.tableWidget = QtWidgets.QTableWidget(self.frame)
self.tableWidget.setGeometry(QtCore.QRect(10, 41, 601, 371))
self.tableWidget.setObjectName("tableWidget")
self.tableWidget.setColumnCount(0)
self.tableWidget.setRowCount(0)
self.okButton = QtWidgets.QPushButton(Form)
self.okButton.setGeometry(QtCore.QRect(530, 440, 89, 25))
self.okButton.setObjectName("okButton")
self.retranslateUi(Form)
QtCore.QMetaObject.connectSlotsByName(Form)
def retranslateUi(self, Form):
_translate = QtCore.QCoreApplication.translate
Form.setWindowTitle(_translate("Form", "Ambulances List"))
self.ambulanceListLabel.setText(_translate("Form", "Ambulances List"))
self.okButton.setText(_translate("Form", "close"))
| [
"abhishek197770@gmail.com"
] | abhishek197770@gmail.com |
f2dbfe14a65b0edc19d892ddcc7a57467691b220 | f87f51ec4d9353bc3836e22ac4a944951f9c45c0 | /.history/HW01_20210624144937.py | b9d45c1f373833420f3987ed361ba22bbc6b3abd | [] | no_license | sanjayMamidipaka/cs1301 | deaffee3847519eb85030d1bd82ae11e734bc1b7 | 9ddb66596497382d807673eba96853a17884d67b | refs/heads/main | 2023-06-25T04:52:28.153535 | 2021-07-26T16:42:44 | 2021-07-26T16:42:44 | 389,703,530 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,177 | py | """
Georgia Institute of Technology - CS1301
HW01 - Functions and Expressions
Collaboration Statement:
"""
#########################################
"""
Function Name: bake()
Parameters: cakes (int), cupcakes (int), cookies (int)
Returns: None
"""
def bake(cakes, cupcakes, cookies):
cake_time = cakes*100 #time in minutes for each cake
cupcakes_time = cupcakes*70 #same as above but for the other items
cookies_time = cookies*45
total_time = cake_time + cupcakes_time + cookies_time #stores the total time used to make all the items
hours = total_time//60 #converts the total minutes into the appropriate amount of hours and minutes
minutes = total_time % 60
print('It will take {} hours and {} minutes to make {} cakes, {} cupcakes, and {} cookies.'.format(hours, minutes, cakes, cupcakes, cookies)) #formats the information and prints out the results
#########################################
"""
Function Name: cakeVolume()
Parameters: radius (int), height (int)
Returns: None
"""
def cakeVolume(radius, height):
volume = 3.14 * radius**2 * height #calculating volume with the volume formula
rounded_volume = round(volume, 2) #rounding my answer to 2 places
print('The volume of the cake is {}.'.format(rounded_volume))
#########################################
"""
Function Name: celebrate()
Parameters: pizzas (int), pastas (int), burgers (int), tipPercent (int)
Returns: None
"""
def celebrate(pizzas, pastas, burgers, tipPercent):
pizzas_price = pizzas*14
pastas_price = pastas*10
burgers_price = burgers*7
total_price = pizzas_price + pastas_price + burgers_price
tip = total_price * (tipPercent/100)
print()
#########################################
"""
Function Name: bookstore()
Parameters: daysBorrowed (int)
Returns: None
"""
def bookstore(daysBorrowed):
pass
#########################################
"""
Function Name: monthlyAllowance()
Parameters: allowance (int), savingsPercentage (int)
Returns: None
"""
def monthlyAllowance(allowance, savingsPercentage):
pass
bake(1, 3, 12)
cakeVolume(5, 8) | [
"sanjay.mamidipaka@gmail.com"
] | sanjay.mamidipaka@gmail.com |
b0d09acd0e702f673fb1ff31437facf784297199 | bd160713e32095321417ee93e3c325229bf3dcbb | /bucketlist/__init__.py | 28c871a03291231678fb17fcb9bc687ee48ab29a | [] | no_license | maquchizi/flask-bucket-list-api | 50875d884e32d5276260352f0fd04a5f19b36924 | e5963ce9f10b00796f895821c4afd3766138100f | refs/heads/develop | 2021-01-12T06:32:35.150776 | 2017-02-24T08:40:49 | 2017-02-24T08:40:49 | 77,377,921 | 0 | 2 | null | 2017-01-05T12:31:03 | 2016-12-26T10:53:24 | Python | UTF-8 | Python | false | false | 31 | py | from bucketlist.app import app
| [
"maqnganga@gmail.com"
] | maqnganga@gmail.com |
e13da53d74b2d69b0e1d895cee7feb246e1d7403 | 2e178225f8b7e00f050617ac5e407a0beeba6396 | /apps/monitoring/ssh/tasks.py | ba8b0d8d169ebce761e6c4e3640a8cd9d0596eac | [
"Apache-2.0"
] | permissive | madrover/pyscaler | 413c24437c2c1f56de3391f12089b9373263a111 | e3633bd062561b49c5ac2d7c3e061272a8256b1b | refs/heads/master | 2021-01-16T21:18:45.898797 | 2013-06-24T15:52:10 | 2013-06-24T15:52:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,222 | py | """
The **apps.monitoring,ssh.tasks** module contains the Celery tasks for the **ssh** app.
"""
from djcelery import celery
from django.core.cache import cache
from apps.monitoring.ssh.models import SshCounter
from celery.utils.log import get_task_logger
import datetime
import paramiko
import sys
#Get celery logger
logger = get_task_logger(__name__)
@celery.task
def getSshTriggerCounters(node,trigger):
"""
The **getSshTriggerCounters** task connects to the **Node** parameter and executes all associated **SshCounter** from the **Trigger** parameter
"""
logger.debug('SSH Getting ' + trigger.name + ' SshCounter counters from ' + node.name)
output=[]
#Checking if the trigger has got SshCounter
counters = trigger.counters.all().select_subclasses()
hascounters=False
for counter in counters:
if isinstance(counter, SshCounter):
hascounters=True
if hascounters == False:
return 'SSH Trigger ' + trigger.name + ' does not have SshCounter counters'
logger.debug('SSH Connecting to ' + node.sshprofile.user + '@' + node.hostname)
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
try:
mykey = paramiko.RSAKey.from_private_key_file(node.sshprofile.keyfile)
ssh.connect(node.hostname, username=node.sshprofile.user, pkey = mykey)
except Exception, e:
#Exit if we can not connect to the node via SSH
error = 'SSH Error connecting to ' + node.hostname
logger.error(error)
logger.error(str(e))
return error
logger.debug('SSH Connected to ' + node.hostname)
# Loop each trigger counter and get value from node
for counter in counters:
if isinstance(counter, SshCounter):
logger.debug('SSH executing ' + counter.script)
try:
#channel = ssh.get_transport().open_session()
stdin, stdout, stderr = ssh.exec_command(counter.script)
value=''
if stdout.channel.recv_exit_status() != 0:
raise Exception("Error executing "+ counter.script)
for line in stdout:
value = value + line.strip('\n')
longkey = 'SSH ' + node.name + ' ' + counter.name + ' ' + datetime.datetime.now().strftime('%Y%m%d%H%M')
except Exception, e:
error = 'SSH Error getting executing ' + counter.script + ' from Trigger "' + trigger.name + '" on ' + node.name + '. Exit status = ' + str(stdout.channel.recv_exit_status())
logger.error(error)
logger.error(str(e))
ssh.close()
return error
key = 'ssh_sshcounter.' + str(node.pk) + '.' + str(counter.pk)
# Update threshold counter in memached
thresholdCounter = cache.get(key)
if thresholdCounter == None:
thresholdCounter = 0
thresholdCounter = int(thresholdCounter)
if counter.comparison == ">":
if float(value) > counter.threshold:
thresholdCounter = thresholdCounter + 1
else:
thresholdCounter = 0
if counter.comparison == "<":
if float(value) < counter.threshold:
thresholdCounter = thresholdCounter + 1
else:
thresholdCounter = 0
if counter.comparison == "=":
if float(value) == counter.threshold:
thresholdCounter = thresholdCounter + 1
else:
thresholdCounter = 0
cache.set(key,thresholdCounter,86400)
key = key + '.' + datetime.datetime.now().strftime('%Y%m%d%H%M')
#Send value to cache backend
logger.debug('SSH value: ' + node.name + '.'+ counter.name + ':' + value)
logger.debug('SSH cache entry: ' + key + ':' + value)
cache.set(key,value,86400)
output.append([node.name + '.' + counter.name,value])
ssh.close()
return output | [
"miquel@adrover.info"
] | miquel@adrover.info |
1a0570a9e48405efaaa47a4ef2947c14ef0f7688 | 8f9fdc8730aa11f5f0a29b0399fa73a53d9530ca | /upprifjun fyrir próf/stöðupróf/dæmi2 hangman.py | 6faf7b5dd912d59e778bae131287633f21dc5096 | [] | no_license | ballib/Forritun1 | 0048aa41dbd4a829814232df9d653ef6e845b549 | 7f4041a5ac974d5622f005498efffcfc452b3f1a | refs/heads/master | 2020-07-20T05:21:24.022182 | 2019-12-13T19:10:08 | 2019-12-13T19:10:08 | 206,579,830 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,101 | py | random_words = ["lion", "umbrella", "window", "computer", "glass", "juice", "chair", "desktop",
"laptop", "dog", "cat", "lemon", "cabel", "mirror", "hat"]
import random
def random_choice():
random.seed(int(input("Random seed: ")))
def characters(word):
print("The word you need to guess has "+str(len(word)),"characters") ## hérna er ég að prenta út lengdina af orðinu í tölu
return word
def guess(word, chars, counter=0):
ord = "" ## búa til nýjann streng sem mun geyma stafina og fylla upp í með bandstrikum
for ch in word: ## búa til forloop sem skoðar hvern staf í orðinu sem var randomly valið
if ch in chars: ## og ef stafurinn er í chars listanum sem við bjuggum til áðann til þess að taka á móti stöfum sem er giskað á
ord += ch + " " ## þá tjekkum við hvort stafurinn sé í tóma strengnum og ef ekki þá bætum við honum við.
else:
ord += "- " ## annars fyllum við uppí með bandstrikum.
if word == ord.replace(" ",""):
print("You won!")
print("Word to guess:", ord)
quit()
if counter != 0:
print("You are on guess ", str(counter) + "/12")
print("Word to guess:", ord)
return word
def checker(word):
counter = 0
chars = []
while counter < 12:
letter = input("Choose a letter: ")
if letter not in chars:
for ch in word:
if ch == letter:
print("You guessed correctly!")
counter += 1
break
else:
print("The letter is not in the word!")
counter += 1
chars.append(letter)
else:
print("You have already guessed that letter!")
guess(word, chars, counter)
else:
print("You lost! The secret word was ", word)
def main():
random_choice()
word = random.choice(random_words)
characters(word)
guess(word, [])
checker(word)
main() | [
"baldurb2@gmail.com"
] | baldurb2@gmail.com |
0596320d1f64afee66f172c4d4144c9e6f41e088 | dcd9d550464642275f41d105c0fa0b8a6a535d46 | /python/bill_pay.py | b5e7d0948f8a78df2603afde127923379684be50 | [] | no_license | ckanafie/ck | 8ae96a5cd90e3a2d20846119cd401ac865230423 | ebd8ccd145fe2697f1f5940b919a7ace81e64cca | refs/heads/master | 2022-07-02T13:42:30.786880 | 2020-05-15T11:34:04 | 2020-05-15T11:34:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,142 | py | #!C:\Python34\python.exe
import cgi
import cx_Oracle
print('Content-type: application/json\r\n\r\n')
con=cx_Oracle.connect('cbs/apss@localhost/xe')
cur=con.cursor()
data=cgi.FieldStorage()
amount=float(data.getvalue('amount'))
sts=-2
rid=0
cid=0
bid=0
bill_status=""
bill_amount=0
sql="SELECT ID FROM SESSIONS WHERE TYPE = 'CID'"
cur.execute(sql)
for r in cur:
cid=r[0]
sql="SELECT R.RIDE_ID FROM RIDE R, BILL B WHERE R.RIDE_ID = B.RIDE_ID AND B.STATUS = 'UNPAID' AND R.CUSTOMER_ID = %s" % (cid)
cur.execute(sql)
for r in cur:
rid=r[0]
sql="SELECT BILL_ID, STATUS, AMOUNT FROM BILL WHERE RIDE_ID = %s" % (rid)
cur.execute(sql)
for r in cur:
bid=r[0]
bill_status=r[1]
bill_amount=r[2]
if amount < bill_amount:
due=bill_amount-amount
sql="UPDATE BILL SET AMOUNT = %s WHERE BILL_ID = %s AND STATUS = 'UNPAID'" % (due, bid)
cur.execute(sql)
cur.execute('commit')
sts=2
if amount == bill_amount:
sql="UPDATE BILL SET AMOUNT = %s, STATUS = 'PAID' WHERE BILL_ID = %s AND STATUS = 'UNPAID'" % (amount, bid)
cur.execute(sql)
cur.execute('commit')
sts=1
print("[\"", sts, "\"]")
| [
"noreply@github.com"
] | ckanafie.noreply@github.com |
105e96e11106d7e013e883ea5ba59bd59045edf9 | d03f0c0073f0b445c6fa495785e7c1ff0d7f93de | /PGGendoNL/models.py | 2f4da596859e257a713a723d141eedc28327aa4b | [] | no_license | xu003822/oTree-PGG | 49da4850975742834434a525da6223445dc9b4f4 | 499145ae78d7db7ad08bcc89f1d2d2954360b13e | refs/heads/master | 2021-06-22T21:00:27.374525 | 2017-08-30T16:37:15 | 2017-08-30T16:37:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,362 | py | from otree.api import (
models, widgets, BaseConstants, BaseSubsession, BaseGroup, BasePlayer,
Currency as c, currency_range
)
import random
doc = """The Dutch version of Public Goods Game with endogeneous threshold
"""
class Constants(BaseConstants):
name_in_url = 'PGGendoNL'
players_per_group = 4
num_rounds = 12
endowment = c(20)
efficiency_factor = 1.6
cost_parameter_low = 0.6
cost_parameter_high = 1.2
participation_fee = 5
euro_per_point = 0.1
phase1 = [1, 2, 3, 4]
phase2 = [5, 6, 7, 8]
phase3 = [9, 10, 11, 12]
""""List of round numbers which are part of a distribution rule. """
paying_phase1 = random.choice(phase1)
paying_phase2 = random.choice(phase2)
paying_phase3 = random.choice(phase3)
""""The random round generator for the three payment periods to calculate money payoff."""
class Subsession(BaseSubsession):
def vars_for_admin_report(self):
contributions = [p.contribution for p in self.get_players() if p.contribution is not None]
return {
'total_contribution': sum(contributions),
'min_contribution': min(contributions),
'max_contribution': max(contributions),
}
class Group(BaseGroup):
distribution_rule = models.CharField()
threshold = models.CurrencyField()
bonus = models.CurrencyField()
total_contribution = models.CurrencyField()
avg_contribution = models.CurrencyField()
avg_payoff = models.CurrencyField()
def set_distribution_rule(self):
if self.round_number in Constants.phase1:
self.distribution_rule = 'Gelijk deel van de bonus'
elif self.round_number in Constants.phase2:
self.distribution_rule = 'Gelijke verdiensten'
elif self.round_number == min(Constants.phase3):
if sum([p.prule for p in self.get_players() if p.prule is not None]) < 2:
self.distribution_rule = 'Gelijk deel van de bonus'
elif sum([p.prule for p in self.get_players() if p.prule is not None]) > 2:
self.distribution_rule = 'Gelijke verdiensten'
else:
self.distribution_rule = random.choice\
(['Gelijk deel van de bonus', 'Gelijke verdiensten'])
else:
self.distribution_rule = self.in_round(self.round_number - 1).distribution_rule
if self.in_round(self.round_number - 1).distribution_rule == 'Gelijk deel van de bonus uitzondering':
self.distribution_rule = 'Gelijke verdiensten'
""""This sets the distribution rule of each phase."""
def set_threshold(self):
self.threshold = min([p.proposal for p in self.get_players()
if p.proposal is not None])
""""The lowest proposed threshold by
a player will become the round's threshold level."""
def set_payoffs(self):
self.total_contribution = sum([p.contribution for p in self.get_players()])
self.avg_contribution = self.total_contribution / Constants.players_per_group
if self.total_contribution < self.threshold:
self.bonus = 0
else: self.bonus = Constants.efficiency_factor * self.threshold
for p in self.get_players():
if 'lage' in p.role():
p.value = (Constants.endowment - Constants.cost_parameter_low * p.contribution)
else:
p.value = (Constants.endowment - Constants.cost_parameter_high * p.contribution)
""""p.value is the amount of points a player has left after contributing."""
if self.distribution_rule == 'Gelijke verdiensten':
if self.total_contribution < self.threshold:
for p in self.get_players():
p.payoff_r = p.value
else:
for p in self.get_players():
p.payoff_r = (sum([p.value for p in self.get_players()]) + self.bonus) \
/ Constants.players_per_group
""""When threshold is met, payoff is calculated by summing the p.values,
adding them to the bonus, and dividing it by the amount of players
per group (4 in this case)"""
p.check_r = p.payoff_r - p.value
if any(p.check_r < 0 for p in self.get_players() if p.check_r is not None):
self.distribution_rule = 'Gelijk deel van de bonus uitzondering'
p.payoff_r = p.value + (self.bonus / Constants.players_per_group)
""""An exception to the Equal payoff occurs when p.payoff_r is less
than p.value, resulting in a value loss for a player. In that case
the distribution rule is adjusted to equal share of the bonus"""
else:
if self.total_contribution < self.threshold:
for p in self.get_players():
p.payoff_r = p.value
else:
for p in self.get_players():
p.payoff_r = p.value + (self.bonus / Constants.players_per_group)
""""Equal share of the bonus is calculated by adding the individual's p.value
with an equal share of the bonus, if the threshold is met."""
self.avg_payoff = sum([p.payoff_r for p in self.get_players()]) / Constants.players_per_group
class Player(BasePlayer):
def role(self):
if self.id_in_group in [1, 2]:
return 'lage'
else:
return 'hoge'
proposal = models.CurrencyField(
min=0, max=Constants.endowment*Constants.players_per_group,
doc="""The proposed threshold level for the current round by the player.""",
)
contribution = models.CurrencyField(
min=0, max=Constants.endowment,
doc="""The amount contributed by the player.""",
)
value = models.CurrencyField(
doc=""""The player's individual payoff before bonus is taken into account."""
)
prule = models.PositiveIntegerField(
choices=[
[0, 'Gelijk deel van de bonus'],
[1, 'Gelijke verdiensten']
],
widget=widgets.RadioSelect(),
doc=""""The player's vote for distribution rule in phase 3."""
)
payoff_r = models.CurrencyField(
doc=""""payoff in a certain round"""
)
check_r = models.FloatField(
doc=""""The check for Equal payoff viability, if negative value,
it's not viable"""
)
earnings_phase1 = models.CurrencyField()
earnings_phase2 = models.CurrencyField()
earnings_phase3 = models.CurrencyField()
paid = models.FloatField()
def set_payoff(self):
self.earnings_phase1 = self.in_round(Constants.paying_phase1).payoff_r
self.earnings_phase2 = self.in_round(Constants.paying_phase2).payoff_r
self.earnings_phase3 = self.in_round(Constants.paying_phase3).payoff_r
self.payoff = self.earnings_phase1 + self.earnings_phase2 + self.earnings_phase3
self.paid = (self.payoff * Constants.euro_per_point) + Constants.participation_fee
""""The calculation of the payoffs during the random periods
and total earnings as well as the to be paid amount.""" | [
"bowiegoossens2@hotmail.com"
] | bowiegoossens2@hotmail.com |
65e5532f41c19901974348a70018748a98d53dfa | 4aefd6f36f5fc9e194896ce39b683b2093013cf7 | /manage.py | b8b5e6b17f23e5b9e68db7a3d58527e336218a67 | [] | no_license | Angeloem/jwtoly | 316174ddc0c81183ec7229755939811d57ae948e | ebd3a11311835c58c14b3893dec8f217fd29c7b0 | refs/heads/master | 2020-07-24T20:00:47.690343 | 2019-09-12T15:37:44 | 2019-09-12T15:37:44 | 208,033,095 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 626 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'jwtoly.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
"available on your PYTHONPATH environment variable? Did you "
"forget to activate a virtual environment?"
) from exc
execute_from_command_line(sys.argv)
if __name__ == '__main__':
main()
| [
"esanga530@gmail.com"
] | esanga530@gmail.com |
73bc81ef4065a43a74837bc0c87e2164cb2162f1 | 56ac4146d8c1f3c4a066a06cbd96a883228e623b | /examples/cifar10/async_trainer.py | 0d6cf6bf92f2308e1bda8146a116267d60d3bebb | [] | no_license | qingzew/tfcluster | 0893dafd52813cdb4cc601160a8008096e837bcc | 6d99e981e1de3393ed4bc9a73afb60d10d34065b | refs/heads/master | 2021-01-17T20:18:36.155762 | 2018-01-21T15:59:28 | 2018-01-21T15:59:28 | 79,696,887 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,554 | py | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2016 qingze <qingze@node39.com>
#
# Distributed under terms of the MIT license.
"""
"""
import os
import time
import tensorflow as tf
import logging
from datetime import datetime
def setup_logger(logger):
logger.setLevel(logging.DEBUG)
FORMAT = '%(levelname).1s%(asctime)-11s %(process)d %(filename)-9s:%(lineno)d] %(message)s'
formatter = logging.Formatter(FORMAT, datefmt = '%m%d %H:%M:%S')
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.DEBUG)
console_handler.setFormatter(formatter)
logger.addHandler(console_handler)
return logger
logger = logging.getLogger(__name__)
setup_logger(logger)
class Trainer(object):
def __init__(self, logdir, steps):
self.func_map = {}
self.logdir = logdir
self.steps = steps
def register(self, name):
def func_wrapper(func):
self.func_map[name] = func
return func
return func_wrapper
def call_method(self, name = None):
func = self.func_map.get(name, None)
if func is None:
raise Exception("No function registered against - " + str(name))
return func()
def train(self):
ps_hosts = os.environ['PS'].split(',')
worker_hosts = os.environ['WORKER'].split(',')
# Create a cluster from the parameter server and worker hosts.
cluster = tf.train.ClusterSpec({'ps': ps_hosts, 'worker': worker_hosts})
# Create and start a server for the local task.
server = tf.train.Server(cluster,
job_name = os.environ['JOB_NAME'],
task_index = int(os.environ['TASK_INDEX']))
if os.environ['JOB_NAME'] == 'ps':
server.join()
elif os.environ['JOB_NAME'] == 'worker':
with tf.Graph().as_default():
# Assigns ops to the local worker by default.
with tf.device(tf.train.replica_device_setter(
worker_device = '/job:worker/task:%d' % int(os.environ['TASK_INDEX']), cluster = cluster)):
train_op, loss, global_step = self.call_method('build_model')
init_op = tf.initialize_all_variables()
# saver = tf.train.Saver(tf.all_variables(), max_to_keep = 25, keep_checkpoint_every_n_hours = 1)
saver = tf.train.Saver(tf.all_variables(), max_to_keep = 25)
# Create a "supervisor", which oversees the training process.
sv = tf.train.Supervisor(is_chief = (int(os.environ['TASK_INDEX']) == 0),
logdir = self.logdir,
init_op = init_op,
saver = saver,
global_step = global_step,
save_model_secs = 600)
config = tf.ConfigProto(allow_soft_placement = True,
log_device_placement = False)
config.gpu_options.allow_growth = True
# The supervisor takes care of session initialization, restoring from
# a checkpoint, and closing when done or an error occurs.
with sv.managed_session(server.target, config = config) as sess:
sess.run(init_op)
# Loop until the supervisor shuts down or 1000000 steps have completed.
step = 0
while not sv.should_stop() and step < self.steps:
# Run a training step asynchronously.
# See `tf.train.SyncReplicasOptimizer` for additional details on how to
# perform *synchronous* training.
start_time = time.time()
# step
_, loss_value = sess.run([train_op, loss])
duration = time.time() - start_time
if step % 1 == 0:
format_str = ('%s: step %d, loss = %.2f (%.3f sec)')
print(format_str % (datetime.now(), step, loss_value, duration))
# Print status to stdout.
# print('Step %d: loss = %.2f (%.3f sec)' % (step, loss_value, duration))
step += 1
# Ask for all the services to stop.
sv.stop()
| [
"qingzew@gmail.com"
] | qingzew@gmail.com |
d7ef00f6761c5aa5604699ffe74a1241d4afc934 | d606b32f409fe21a742e6e7cc964913e09276837 | /mputest/imutest.py | 0b67a48bf1f75c681637e860b36b8934d69aaa4f | [
"BSD-2-Clause"
] | permissive | yycho0108/Elecanisms_Final | 057258e4233d65ec64e0a0d8d6f18e78813159ed | 5837e8481e2e224b250ac533d170ca3cf7fe2846 | refs/heads/master | 2021-01-21T07:08:33.523016 | 2017-05-04T15:19:09 | 2017-05-04T15:19:09 | 83,324,743 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 826 | py |
import mputest
import sys, time
foo = mputest.mputest()
foo.mpu_init()
while 1:
sys.stdout.write('\x1b[2J\x1b[1;1f')
accel = foo.mpu_read_accel()
gyro = foo.mpu_read_gyro()
mag = foo.mpu_read_mag()
print 'Accelerometer:'
print ' x = {0:+05.3f}g'.format(accel[0])
print ' y = {0:+05.3f}g'.format(accel[1])
print ' z = {0:+05.3f}g'.format(accel[2])
print '\nGyroscope:'
print ' x = {0:+08.3f}dps'.format(gyro[0])
print ' y = {0:+08.3f}dps'.format(gyro[1])
print ' z = {0:+08.3f}dps'.format(gyro[2])
print '\nMagnetometer:'
print ' x = {0:+08.3f}uT'.format(mag[0])
print ' y = {0:+08.3f}uT'.format(mag[1])
print ' z = {0:+08.3f}uT'.format(mag[2])
t0 = time.clock()
while time.clock()<t0+0.05:
pass
| [
"noreply@github.com"
] | yycho0108.noreply@github.com |
28ce163f3b9cf5eb8781bca648c833347a56180a | 47b4d76e9c87e6c45bab38e348ae12a60a60f94c | /Mutation_Modules/ILE_VAL.py | 1febf610cbd99aa48137a62bd7106f55e86ea931 | [] | no_license | PietroAronica/Parasol.py | 9bc17fd8e177e432bbc5ce4e7ee2d721341b2707 | 238abcdc2caee7bbfea6cfcdda1ca705766db204 | refs/heads/master | 2021-01-10T23:57:40.225140 | 2020-10-14T02:21:15 | 2020-10-14T02:21:15 | 70,791,648 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,858 | py | # ILE to VAL Mutation
import Frcmod_creator
import PDBHandler
import Leapy
from parmed.tools.actions import *
from parmed.amber.readparm import *
def parmed_command(vxi='VXI', lipid='No'):
bc = {}
with open('Param_files/AminoAcid/ILE.param', 'r') as b:
data = b.readlines()[1:]
for line in data:
key, value = line.split()
bc[key] = float(value)
b.close()
fc = {}
with open('Param_files/AminoAcid/VAL.param', 'r') as b:
data = b.readlines()[1:]
for line in data:
key, value = line.split()
fc[key] = float(value)
b.close()
for i in range(11):
a = i*10
parm = AmberParm('Solv_{}_{}.prmtop'.format(a, 100-a))
changeLJPair(parm, ':{}@HG11'.format(vxi), ':{}@HD11'.format(vxi), '0', '0').execute()
change(parm, 'charge', ':{}@N'.format(vxi), bc['N']+((fc['N']-bc['N'])/10)*i).execute()
change(parm, 'charge', ':{}@H'.format(vxi), bc['H']+((fc['H']-bc['H'])/10)*i).execute()
change(parm, 'charge', ':{}@CA'.format(vxi), bc['CA']+((fc['CA']-bc['CA'])/10)*i).execute()
change(parm, 'charge', ':{}@HA'.format(vxi), bc['HA']+((fc['HA']-bc['HA'])/10)*i).execute()
change(parm, 'charge', ':{}@CB'.format(vxi), bc['CB']+((fc['CB']-bc['CB'])/10)*i).execute()
change(parm, 'charge', ':{}@HB'.format(vxi), bc['HB']+((fc['HB']-bc['HB'])/10)*i).execute()
change(parm, 'charge', ':{}@CG2'.format(vxi), bc['CG2']+((fc['CG2']-bc['CG2'])/10)*i).execute()
change(parm, 'charge', ':{}@HG21'.format(vxi), bc['HG21']+((fc['HG21']-bc['HG21'])/10)*i).execute()
change(parm, 'charge', ':{}@HG22'.format(vxi), bc['HG22']+((fc['HG22']-bc['HG22'])/10)*i).execute()
change(parm, 'charge', ':{}@HG23'.format(vxi), bc['HG23']+((fc['HG23']-bc['HG23'])/10)*i).execute()
change(parm, 'charge', ':{}@CG1'.format(vxi), bc['CG1']+((fc['CG1']-bc['CG1'])/10)*i).execute()
change(parm, 'charge', ':{}@HG11'.format(vxi), (fc['HG11']/10)*i).execute()
change(parm, 'charge', ':{}@HG12'.format(vxi), bc['HG12']+((fc['HG12']-bc['HG12'])/10)*i).execute()
change(parm, 'charge', ':{}@HG13'.format(vxi), bc['HG13']+((fc['HG13']-bc['HG13'])/10)*i).execute()
change(parm, 'charge', ':{}@CD1'.format(vxi), bc['CD1']-(bc['CD1']/10)*i).execute()
change(parm, 'charge', ':{}@HD11'.format(vxi), bc['HD11']-(bc['HD11']/10)*i).execute()
change(parm, 'charge', ':{}@HD12'.format(vxi), bc['HD12']-(bc['HD12']/10)*i).execute()
change(parm, 'charge', ':{}@HD13'.format(vxi), bc['HD13']-(bc['HD13']/10)*i).execute()
change(parm, 'charge', ':{}@C'.format(vxi), bc['C']+((fc['C']-bc['C'])/10)*i).execute()
change(parm, 'charge', ':{}@O'.format(vxi), bc['O']+((fc['O']-bc['O'])/10)*i).execute()
setOverwrite(parm).execute()
parmout(parm, 'Solv_{}_{}.prmtop'.format(a, 100-a)).execute()
def makevxi(struct, out, aa, vxi='VXI'):
struct.residue_dict[aa].set_resname(vxi)
CD1 = struct.residue_dict[aa].atom_dict['CD1']
pdb = open(out, 'w')
try:
pdb.write(struct.other_dict['Cryst1'].formatted())
except KeyError:
pass
for res in struct.residue_list:
for atom in res.atom_list:
if atom.get_name() == 'CG1' and res.get_resname() == vxi:
pdb.write(atom.formatted())
pdb.write(atom.superimposed1('HG11', CD1))
else:
pdb.write(atom.formatted())
try:
pdb.write(struct.other_dict[atom.get_number()].ter())
except:
pass
for oth in struct.other_dict:
try:
if oth.startswith('Conect'):
pdb.write(struct.other_dict[oth].formatted())
except:
pass
pdb.write('END\n')
def variablemake(sym='^'):
var1 = sym + '1'
var2 = sym + '2'
var3 = sym + '3'
var4 = sym + '4'
var5 = sym + '5'
var6 = sym + '6'
var7 = sym + '7'
var8 = sym + '8'
var9 = sym + '9'
var10 = sym + '0'
var11 = sym + 'a'
var12 = sym + 'b'
var13 = sym + 'c'
var14 = sym + 'd'
var15 = sym + 'e'
return var1, var2, var3, var4, var5, var6, var7, var8, var9, var10, var11, var12, var13, var14, var15
def lib_make(ff, outputfile, vxi='VXI', var=variablemake()):
metcar = var[0]
methyd = var[1]
hydhyd = var[2]
ctrl = open('lyp.in', 'w')
ctrl.write("source %s\n"%ff)
ctrl.write("%s=loadpdb Param_files/LibPDB/ILE-VAL.pdb\n"%vxi)
ctrl.write('set %s.1.1 element "N"\n'%vxi)
ctrl.write('set %s.1.2 element "H"\n'%vxi)
ctrl.write('set %s.1.3 element "C"\n'%vxi)
ctrl.write('set %s.1.4 element "H"\n'%vxi)
ctrl.write('set %s.1.5 element "C"\n'%vxi)
ctrl.write('set %s.1.6 element "H"\n'%vxi)
ctrl.write('set %s.1.7 element "C"\n'%vxi)
ctrl.write('set %s.1.8 element "H"\n'%vxi)
ctrl.write('set %s.1.9 element "H"\n'%vxi)
ctrl.write('set %s.1.10 element "H"\n'%vxi)
ctrl.write('set %s.1.11 element "C"\n'%vxi)
ctrl.write('set %s.1.12 element "H"\n'%vxi)
ctrl.write('set %s.1.13 element "H"\n'%vxi)
ctrl.write('set %s.1.14 element "H"\n'%vxi)
ctrl.write('set %s.1.15 element "C"\n'%vxi)
ctrl.write('set %s.1.16 element "H"\n'%vxi)
ctrl.write('set %s.1.17 element "H"\n'%vxi)
ctrl.write('set %s.1.18 element "H"\n'%vxi)
ctrl.write('set %s.1.19 element "C"\n'%vxi)
ctrl.write('set %s.1.20 element "O"\n'%vxi)
ctrl.write('set %s.1.1 name "N"\n'%vxi)
ctrl.write('set %s.1.2 name "H"\n'%vxi)
ctrl.write('set %s.1.3 name "CA"\n'%vxi)
ctrl.write('set %s.1.4 name "HA"\n'%vxi)
ctrl.write('set %s.1.5 name "CB"\n'%vxi)
ctrl.write('set %s.1.6 name "HB"\n'%vxi)
ctrl.write('set %s.1.7 name "CG2"\n'%vxi)
ctrl.write('set %s.1.8 name "HG21"\n'%vxi)
ctrl.write('set %s.1.9 name "HG22"\n'%vxi)
ctrl.write('set %s.1.10 name "HG23"\n'%vxi)
ctrl.write('set %s.1.11 name "CG1"\n'%vxi)
ctrl.write('set %s.1.12 name "HG11"\n'%vxi)
ctrl.write('set %s.1.13 name "HG12"\n'%vxi)
ctrl.write('set %s.1.14 name "HG13"\n'%vxi)
ctrl.write('set %s.1.15 name "CD1"\n'%vxi)
ctrl.write('set %s.1.16 name "HD11"\n'%vxi)
ctrl.write('set %s.1.17 name "HD12"\n'%vxi)
ctrl.write('set %s.1.18 name "HD13"\n'%vxi)
ctrl.write('set %s.1.19 name "C"\n'%vxi)
ctrl.write('set %s.1.20 name "O"\n'%vxi)
ctrl.write('set %s.1.1 type "N"\n'%vxi)
ctrl.write('set %s.1.2 type "H"\n'%vxi)
ctrl.write('set %s.1.3 type "CT"\n'%vxi)
ctrl.write('set %s.1.4 type "H1"\n'%vxi)
ctrl.write('set %s.1.5 type "CT"\n'%vxi)
ctrl.write('set %s.1.6 type "HC"\n'%vxi)
ctrl.write('set %s.1.7 type "CT"\n'%vxi)
ctrl.write('set %s.1.8 type "HC"\n'%vxi)
ctrl.write('set %s.1.9 type "HC"\n'%vxi)
ctrl.write('set %s.1.10 type "HC"\n'%vxi)
ctrl.write('set %s.1.11 type "CT"\n'%vxi)
ctrl.write('set %s.1.12 type "%s"\n'%(vxi, hydhyd))
ctrl.write('set %s.1.13 type "HC"\n'%vxi)
ctrl.write('set %s.1.14 type "HC"\n'%vxi)
ctrl.write('set %s.1.15 type "%s"\n'%(vxi, metcar))
ctrl.write('set %s.1.16 type "%s"\n'%(vxi, methyd))
ctrl.write('set %s.1.17 type "%s"\n'%(vxi, methyd))
ctrl.write('set %s.1.18 type "%s"\n'%(vxi, methyd))
ctrl.write('set %s.1.19 type "C"\n'%vxi)
ctrl.write('set %s.1.20 type "O"\n'%vxi)
ctrl.write('bond %s.1.1 %s.1.2\n'%(vxi, vxi))
ctrl.write('bond %s.1.1 %s.1.3\n'%(vxi, vxi))
ctrl.write('bond %s.1.3 %s.1.4\n'%(vxi, vxi))
ctrl.write('bond %s.1.3 %s.1.5\n'%(vxi, vxi))
ctrl.write('bond %s.1.3 %s.1.19\n'%(vxi, vxi))
ctrl.write('bond %s.1.5 %s.1.6\n'%(vxi, vxi))
ctrl.write('bond %s.1.5 %s.1.7\n'%(vxi, vxi))
ctrl.write('bond %s.1.5 %s.1.11\n'%(vxi, vxi))
ctrl.write('bond %s.1.7 %s.1.8\n'%(vxi, vxi))
ctrl.write('bond %s.1.7 %s.1.9\n'%(vxi, vxi))
ctrl.write('bond %s.1.7 %s.1.10\n'%(vxi, vxi))
ctrl.write('bond %s.1.11 %s.1.12\n'%(vxi, vxi))
ctrl.write('bond %s.1.11 %s.1.13\n'%(vxi, vxi))
ctrl.write('bond %s.1.11 %s.1.14\n'%(vxi, vxi))
ctrl.write('bond %s.1.11 %s.1.15\n'%(vxi, vxi))
ctrl.write('bond %s.1.15 %s.1.16\n'%(vxi, vxi))
ctrl.write('bond %s.1.15 %s.1.17\n'%(vxi, vxi))
ctrl.write('bond %s.1.15 %s.1.18\n'%(vxi, vxi))
ctrl.write('bond %s.1.19 %s.1.20\n'%(vxi, vxi))
ctrl.write('set %s.1 connect0 %s.1.N\n'%(vxi, vxi))
ctrl.write('set %s.1 connect1 %s.1.C\n'%(vxi, vxi))
ctrl.write('set %s name "%s"\n'%(vxi, vxi))
ctrl.write('set %s.1 name "%s"\n'%(vxi, vxi))
ctrl.write('set %s head %s.1.N\n'%(vxi, vxi))
ctrl.write('set %s tail %s.1.C\n'%(vxi, vxi))
ctrl.write('saveoff %s %s.lib\n'%(vxi, vxi))
ctrl.write("quit\n")
ctrl.close()
Leapy.run('lyp.in', outputfile)
def all_make():
for i in range(0,110,10):
Frcmod_creator.make ('{}_{}.frcmod'.format(i, 100-i))
def cal(x, y, i):
num = x+((y-x)/10)*i
return num
def lac(x, y, i):
num = y+((x-y)/10)*i
return num
def stock_add_to_all(var=variablemake()):
metcar = var[0]
methyd = var[1]
hydhyd = var[2]
Frcmod_creator.make_hyb()
Frcmod_creator.TYPE_insert(metcar, 'C', 'sp3')
Frcmod_creator.TYPE_insert(methyd, 'H', 'sp3')
Frcmod_creator.TYPE_insert(hydhyd, 'H', 'sp3')
p = {}
with open('Param_files/Stock/Stock.param', 'r') as b:
data = b.readlines()[1:]
for line in data:
p[line.split()[0]] = []
for point in line.split()[1:]:
p[line.split()[0]].append(float(point))
b.close()
for i in range(11):
a = i*10
Frcmod_creator.MASS_insert('{}_{}.frcmod'.format(a, 100-a), metcar, cal(p['CT'][0], p['0_C'][0], i), cal(p['CT'][1], p['0_C'][1], i))
Frcmod_creator.MASS_insert('{}_{}.frcmod'.format(a, 100-a), methyd, cal(p['HC'][0], p['0_H'][0], i), cal(p['HC'][1], p['0_H'][1], i))
Frcmod_creator.MASS_insert('{}_{}.frcmod'.format(a, 100-a), hydhyd, cal(p['0_H'][0], p['HC'][0], i), cal(p['0_H'][1], p['HC'][1], i))
Frcmod_creator.BOND_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}'.format('CT', metcar), cal(p['CT_CT'][0], p['CT_mH'][0], i), cal(p['CT_CT'][1], p['CT_mH'][1], i))
Frcmod_creator.BOND_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}'.format('CT', hydhyd), cal(p['HC_sC'][0], p['CT_HC'][0], i), cal(p['HC_sC'][1], p['CT_HC'][1], i))
Frcmod_creator.BOND_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}'.format(metcar, methyd), cal(p['CT_HC'][0], p['HC_mH'][0], i), cal(p['CT_HC'][1], p['HC_mH'][1], i))
Frcmod_creator.ANGLE_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}-{}'.format('CT', metcar, methyd), cal(p['C_C_H'][0], p['Dritt'][0], i), cal(p['C_C_H'][1], p['Dritt'][1], i))
Frcmod_creator.ANGLE_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}-{}'.format(methyd, metcar, methyd), cal(p['H_C_H'][0], p['Close'][0], i), cal(p['H_C_H'][1], p['Close'][1], i))
Frcmod_creator.ANGLE_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}-{}'.format('CT', 'CT', metcar), cal(p['C_C_C'][0], p['C_C_C'][0], i), cal(p['C_C_C'][1], p['C_C_C'][1], i))
Frcmod_creator.ANGLE_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}-{}'.format('HC', 'CT', metcar), cal(p['C_C_H'][0], p['C_C_H'][0], i), cal(p['C_C_H'][1], p['C_C_H'][1], i))
Frcmod_creator.ANGLE_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}-{}'.format('HC', 'CT', hydhyd), cal(p['H_C_H'][0], p['H_C_H'][0], i), cal(p['H_C_H'][1], p['H_C_H'][1], i))
Frcmod_creator.ANGLE_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}-{}'.format(hydhyd, 'CT', metcar), cal(p['Close'][0], p['Close'][0], i), cal(p['Close'][1], p['Close'][1], i))
Frcmod_creator.ANGLE_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}-{}'.format('CT', 'CT', hydhyd), cal(p['C_C_H'][0], p['C_C_H'][0], i), cal(p['C_C_H'][1], p['C_C_H'][1], i))
Frcmod_creator.DIHEDRAL_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}-{}-{}'.format('CT', 'CT', metcar, methyd), cal(p['C_C_C_H'][0], p['0_1'][0], i), cal(p['C_C_C_H'][1], p['0_1'][1], i), cal(p['C_C_C_H'][2], p['0_1'][2], i), cal(p['C_C_C_H'][3], p['0_1'][3], i))
Frcmod_creator.DIHEDRAL_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}-{}-{}'.format('HC', 'CT', metcar, methyd), cal(p['H_C_C_H'][0], p['0_1'][0], i), cal(p['H_C_C_H'][1], p['0_1'][1], i), cal(p['H_C_C_H'][2], p['0_1'][2], i), cal(p['H_C_C_H'][3], p['0_1'][3], i))
Frcmod_creator.DIHEDRAL_insert('{}_{}.frcmod'.format(a, 100-a), '{}-{}-{}-{}'.format(hydhyd, 'CT', metcar, methyd), cal(p['0_Dihe'][0], p['0_Dihe'][0], i), cal(p['0_Dihe'][1], p['0_Dihe'][1], i), cal(p['0_Dihe'][2], p['0_Dihe'][2], i), cal(p['0_Dihe'][3], p['0_Dihe'][3], i))
Frcmod_creator.NONBON_insert('{}_{}.frcmod'.format(a, 100-a), metcar, cal(p['CT'][2], p['0_C'][2], i), cal(p['CT'][3], p['0_C'][3], i))
Frcmod_creator.NONBON_insert('{}_{}.frcmod'.format(a, 100-a), methyd, cal(p['HC'][2], p['0_H'][2], i), cal(p['HC'][3], p['0_H'][3], i))
Frcmod_creator.NONBON_insert('{}_{}.frcmod'.format(a, 100-a), hydhyd, cal(p['0_H'][2], p['HC'][2], i), cal(p['0_H'][3], p['HC'][3], i))
| [
"pietro.ga.aronica@gmail.com"
] | pietro.ga.aronica@gmail.com |
e8e556220a6cf463cb98d6d2d2aa7f443f80c37c | 5a3ed55e95b6031105e8030116642d15513446ed | /foodsite-application/foodsite-application/settings.py | 80b5c021c0b0275fbe49977c14111cf02ac3cf65 | [] | no_license | yxni98/Development-Projects | 7ba5a7894ac78064dade35833242ebb53fd38f00 | b0a79aed7d9dbcf5512dd951dc72f93b71e3443d | refs/heads/master | 2022-12-29T10:36:10.415031 | 2020-02-06T03:03:00 | 2020-02-06T03:11:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,847 | py | """
Django settings for foodsite-application project.
Generated by 'django-admin startproject' using Django 1.11.5.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
from django.middleware.cache import UpdateCacheMiddleware
from django.middleware.cache import FetchFromCacheMiddleware
import os
import logging
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.11/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'rllm@lc++_!ig_2fv8tn0+!(@6#_st3cpc1(5)hdg8#%8*otxc'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = False
ALLOWED_HOSTS = ['*']
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'corsheaders',
'library',
'account',
'food_site',
]
MIDDLEWARE = [
# 'django.middleware.cache.UpdateCacheMiddleware',
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
# 'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
'corsheaders.middleware.CorsMiddleware',
'django.middleware.common.CommonMiddleware', # 注意顺序
# 'django.middleware.cache.FetchFromCacheMiddleware',
]
#跨域增加忽略
CORS_ALLOW_CREDENTIALS = True
CORS_ORIGIN_ALLOW_ALL = True
CORS_ORIGIN_WHITELIST = (
'*'
)
CORS_ALLOW_METHODS = (
'DELETE',
'GET',
'OPTIONS',
'PATCH',
'POST',
'PUT',
'VIEW',
)
CORS_ALLOW_HEADERS = (
'XMLHttpRequest',
'X_FILENAME',
'accept-encoding',
'authorization',
'content-type',
'dnt',
'origin',
'user-agent',
'x-csrftoken',
'x-requested-with',
'Pragma',
)
# CACHE_MIDDLEWARE_ALIAS = ""
# CACHE_MIDDLEWARE_SECONDS = ""
# CACHE_MIDDLEWARE_KEY_PREFIX = ""
ROOT_URLCONF = 'foodsite-application.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
CACHES = {
'default': {
'BACKEND': 'django.core.cache.backends.locmem.LocMemCache',
}
}
WSGI_APPLICATION = 'foodsite-application.wsgi.application'
logging.basicConfig(
level = logging.DEBUG,
format = '%(asctime)s %(levelname)s %(message)s',
)
# Database
# https://docs.djangoproject.com/en/1.11/ref/settings/#databases
DATABASES = {
'default': {
# 'ENGINE': 'django.db.backends.sqlite3',
# 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
'ENGINE': 'django.db.backends.mysql',
'NAME': 'yongxin',
'USER': 'xxx',
'PASSWORD': 'xxx',
'HOST': 'xxx',
'PORT': 'xxx',
}
}
# Password validation
# https://docs.djangoproject.com/en/1.11/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/1.11/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.11/howto/static-files/
STATIC_URL = '/static/'
HERE = os.path.dirname(os.path.abspath(__file__))
HERE = os.path.join(HERE, '../')
STATICFILES_DIRS = (
# Put strings here, like "/home/html/static" or "C:/www/django/static".
# Always use forward slashes, even on Windows.
# Don't forget to use absolute paths, not relative paths.
os.path.join(HERE, 'static/'),
)
| [
"niyongxin2016@email.szu.edu.cn"
] | niyongxin2016@email.szu.edu.cn |
7898ec57cd787e2f254f7c7793876dd708e2496d | 29a4f419841959381db2d8ba035d6b1f5d2d67a9 | /blink.py | 6144191b71ddad09c60b0ecde2b286a8d9558b68 | [] | no_license | becorey/ME592 | 31d7af758f82424404529381adeb5b6ea9b04de3 | 0b022127fda188fde43dbef5d059c98f893c3b88 | refs/heads/master | 2021-04-28T03:28:41.746464 | 2018-02-20T00:53:26 | 2018-02-20T00:53:26 | 122,140,173 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 748 | py | #!/usr/bin/python
#import GPIO to access the pins
import RPi.GPIO as GPIO
#import time to use time.sleep
import time
#pins will be accessed from physical location on board
GPIO.setmode(GPIO.BOARD)
#we are wired to GPIO 26, which is physically pin 37
ledpin=37
#set our LED pin as an output to send current to it
GPIO.setup(ledpin, GPIO.OUT)
#we will loop to blink the led a few times
for i in range(0,10):
#when i is even the led will turn off
if i%2==0:
GPIO.output(ledpin, GPIO.LOW)
print "gpio low"
#else, i is odd, and the led will turn on
else:
GPIO.output(ledpin, GPIO.HIGH)
print "gpio high"
#leave the led on/off for 1 second
time.sleep(1)
#releases the pin setmode back to default
GPIO.cleanup()
print "Done blinking"
| [
"coreymberman@gmail.com"
] | coreymberman@gmail.com |
6bef768f4b5fe36e599eaa13f5c58cd2211f134c | 7d95ba5003636509b957f4695bb4c72c9fcb76a9 | /radio_data/src/TDL_channel.py | 7c09f044a48b1f86e9a0aa3b95e68155ae1d6b15 | [] | no_license | xiaogaogaoxiao/LinkAdaptationCSI | ce46253c789685384d22218e7b24ca64fd595d2b | c351bc2718775291cde69d1f1e54a97a85162a4b | refs/heads/master | 2023-05-03T11:54:15.956390 | 2021-05-23T20:11:33 | 2021-05-23T20:11:33 | 420,411,198 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,000 | py | import itpp
def channel_frequency_response(fft_size,
relative_speed,
channel_model,
nrof_subframes):
carrier_freq = 2.0e9 # 2 GHz
subcarrier_spacing = 15000 # Hz
sampling_frequency = subcarrier_spacing * fft_size
sampling_interval = 1.0 / sampling_frequency
relative_speed = relative_speed # in m/s
doppler_frequency = (carrier_freq / 3e8) * relative_speed
norm_doppler = doppler_frequency * sampling_interval
frame_duration = 1.0e-3 # 1 ms
frame_samples = int(frame_duration / sampling_interval)
model = None
if channel_model == 'ITU_PEDESTRIAN_A':
model = itpp.comm.CHANNEL_PROFILE.ITU_Pedestrian_A
elif channel_model == 'ITU_PEDESTRIAN_B':
model = itpp.comm.CHANNEL_PROFILE.ITU_Pedestrian_B
elif channel_model == 'ITU_VEHICULAR_A':
model = itpp.comm.CHANNEL_PROFILE.ITU_Vehicular_A
elif channel_model == 'ITU_VEHICULAR_B':
model = itpp.comm.CHANNEL_PROFILE.ITU_Vehicular_B
else:
print('Specified channel model %s not configured in %s'%(model, __file__))
channel_spec = itpp.comm.Channel_Specification(model)
channel = itpp.comm.TDL_Channel(channel_spec, sampling_interval)
nrof_taps = channel.taps()
channel.set_norm_doppler(norm_doppler)
# Generate channel coefficients for a few frames
channel_coeff = itpp.cmat()
channel_coeff.set_size(nrof_subframes, nrof_taps, False)
for frame_index in range(nrof_subframes):
frame_start_sample = int(frame_index * frame_samples)
channel.set_time_offset(frame_start_sample)
frame_channel_coeff = itpp.cmat()
channel.generate(1, frame_channel_coeff)
channel_coeff.set_row(frame_index, frame_channel_coeff.get_row(0))
freq_resp = itpp.cmat()
channel.calc_frequency_response(channel_coeff, freq_resp, fft_size)
return freq_resp | [
"lissy.pellaco@gmail.com"
] | lissy.pellaco@gmail.com |
3646911498cba7627ec5d93654ca853de8b3da0d | 3416d7c865a2bead6361df57aa3cc22a4e58628f | /catkin_ws/src/control/src/test.py | 0189a0c0b20fea51b3811dd4cc383ade3166adc9 | [] | no_license | scottsuk0306/rcCarEndtoEnd | 9546e48d2fe53ad3dcbb54798084ec9587a6edfc | ad4bb5b4f85cc89af253e14a954bafa1955405f6 | refs/heads/main | 2023-03-06T13:00:23.827406 | 2021-02-23T06:37:24 | 2021-02-23T06:37:24 | 333,681,183 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 291 | py | #! /usr/bin/env python
from curtsies import Input
def main():
with Input(keynames='curses') as input_generator:
for e in input_generator:
if e=='w': print("go front")
if e=='s': print("go back")
print()
if __name__ == '__main__':
main() | [
"39263767+scottsuk0306@users.noreply.github.com"
] | 39263767+scottsuk0306@users.noreply.github.com |
d7440e71113a64188e10129584a6781b9645ee82 | d562027a4a5b2d64c776a3c394c88d8e278b664b | /lianxi.py | fe1ae4a043bde74fbbe420e0e533198292e8073e | [] | no_license | wft111/gittest_1 | 97f0916d37c4a5decff5355d3a92380d8049d3e8 | f622918ed68f37686e67c9d51287a64cf0721b01 | refs/heads/master | 2020-07-30T05:52:35.441667 | 2019-09-22T08:21:43 | 2019-09-22T08:21:43 | 210,109,241 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,524 | py | #/usr/bin/python
#-*-coding:utf-8-*-
#a='hello,python'
#print(a)
#a= ' hello,python '
#b=a.strip()
#print(b)
#b=a.lstrip()
#print(b)
#b=a.rstrip()
#print(b)
#a='%s是%s个超级大国'%('中国',1)
#print(a)
#a=[12,121,12122,122]
#a.sort()
#print(a)
#a.reverse()
#print(a)
#a=[123,1212,1445]
#b=a.index(123)
#print(b)
#=[1223,233,65,556]
#a.sort()
#print(a)
#a.reverse()
#print(a)
#b=[111,222]
#a.extend(b)
#print(a)
#a.clear()
#print(a)
#a=[123,21323,1321424]
#a.append(111)
#a.insert(1,111)
#a.remove(123)
#print(a)
#一、字符串：以单引号和双引号括起来
#字符串特点：
#1、支持索引
#2、支持切片
#3、不可变的
#a=' hello,python '
#b=a.upper()#1、将字符串小写变大写
#b=a.lower()#2、将字符串大写变小写
#b=a.title()#3、将字符串的第一个字符首字母大写
#b=a.swapcase()#4、数据反转，大写变小写，小写变大写
#b=a.startswith('h')#5、判断字符串是否是以这个字符开头，如果正确返回ture，错误返回flash
#b=a.endswith('n')6、#判断字符串是否以这个字符结尾，如果正确返回ture，错误，返回flash
#b=a.replace('o','博文',1)7、替换字符串，（‘要替换的内容’，‘替换的内容’，替换数量（数量不用加引号））
#b=a.split('h')#8、将字符串分割成列表（分割字符串列表）
#b='-'.join('6789')#9、形成新的字符串的分隔符（连接成新的字符串）
#a='{}hello,python{}'
#b=a.format('你好','蟒蛇')#10、格式化字符串，占位符{} 变量名.format.(字符串)
#a='%s是%d个超级大国'%('中国',1)#11、%s可以填充所有，%d只能填充数字
#b=a.strip()#12、去除空格
#print(b)
#b=a.lstrip()#去除左边空格
#print(b)
#b=a.rstrip()#去除右边空格
#print(b)
#二 、元组：元组是数据的集合，以小括号标识，中间以逗号隔开
#元组特点：
#1、不可变
#2、支持索引
#3、支持切片
#内置函数练习
#a=(123,1234,567,123)
#b=a.count(123)1、统计这个元素在元组中有多少个
#b=a.index(567)2、查询这个元素在这个元组中的下标位置
#print(b)
#三、列表：列表是一组数据的集合，以中括号标识，中间用逗号隔开
#列表特点：
#1、可变的
#2、支持索引
#3、支持切片
#列表内置函数基础练习
#a=[121,3423,12123]
#a.append(122)1、对列表添加数据，添加后自动在最后面
#a.insert(1,222)2、根据下标进行添加数据
#a.remove(121)3、删除指定数据
#a.pop(1)4、根据下标删除数据
#b=a.count(121)5、统计这个数据在列表中有多少个
#b=a.index(121)6、查询此元素在列表的下标
#b=[111,345]
#a.extend(b)7、将b中的数据更新到a中
#a.clear()8、清空数据
#a.sort()9、排序
#print(a)
#a.reverse()10、数据转换
#b=a.copy()11、复制
#print(b)
#列表和元组的区别？
#1、元组是不可变的，列表是可变的；
#2、元组是以小括号标识的，列表是以中括号标识的；
#3、元组里面只有一个元素时，结尾必须要加逗号，才可以标识元组，而列表不需要；
#四、集合：一组数据的集合，以大括号标识，中间用逗号隔开。
#集合的特点：
#1、集合是无序的；
#2、集合是不可重复的；
#3、可变的；
#集合的内置函数
#a={1332,'hdhjh',123}
#a.add(111)1、添加数据，一次只能添加一个
#print(a)
#五、字典：一组数据的集合，以大括号为标识，格式以键值对出现（key：value）
#字典特点：
#1、无序的
#2、可变的
#3、键必须是唯一的
#字典内置函数基础练习
#a={'姓名':'张三','年龄':'22','性别':'男'}
#b=a.keys()1、获取所有的键
#b=a.values()2、获取所有的值
#b=a.items()3、获取所有的键值对
#a['sex']='111'4、添加数据，有的数据就更改
#a.pop('性别')5、指定删除的数据
#a.popitem()6、删除数据，默认删除最后一个
#b={'sex':'123'}
#a.update(b)7、更新数据，将b的数据更新到a里面
#print(a)
#a=0x20
#print(int(a))
#python if条件语句
#if False:
# print(12)
#else:
# print(11)
#a=int(input('输入账号'))
#b=int(input('密码'))
#if a==1761295435:
# print()
# if b==123456:
# print('登录')
# else:
# print('密码错误')
#else:
# print('登录失败')
#加
#a = 100
#b = 20
#d = 'hello,python'
#c=a+b
#print(c)
#减
#c=a-b
#print(c)
#乘
#c=a*b
#print(c)
# 除
#c=a/b
#print(c)#除的结果是浮点型
# 求整数【商的整数】
#c=a//b
#print(c)
#幂
#c=a**b
#print(c)
#求余数
#s1=100
#s2=3
#f=s1%s2
#print(f)
# python 比较运算 两个变量之间值的比较
# ==等于 >大于 <小于 >=大于等于 <=小于等于 ！=不等于
#a=int (input('输入成绩:'))
#if 90<=a<=100:
# print('优秀')
#elif 80<=a<=90:
# print('良好')
#elif 60<=a<=80:
# print('一般')
#elif a<60 :
# print('不及格')
#python 赋值运算符
#= 赋值 +=累加 -=类减 *= /= %= //= **=
#a1=100
#a1+=1 #a1=a1+1
#print(a1)
#python成员运算符
#""""""
#in 在...里面
#not in 不在...里面
#x=[1,2,3,4]
#print(1 in x)
#逻辑运算符
#and 与 两个条件同时为True，结果才为Ture
# or 或 有一个条件为Ture，结果就是Ture
#not 非 一个条件，Ture变成False，False变成True
#数值0、空字符串、空列表、空元组、空集合、空字典 默认是False；
#None 空的 函数里面的返回值的一种；
#if '':
# print('hello')
#python for 循环
#循环一个字典的时候，只能拿到它的键
# for i in xx;
# 代码语句
# xx 代表的是可迭代的对象 字符串，列表，元组，集合，字典
# i 变量 代表 xx某一个具体的值
#str_1='hello,python' 字符串循环
#for i in str_1:
# print(i)
#dict_1={1:'python',2:'hello'}字典循环
#for i in dict_1:
# print(i)
#集合去重
#list_a=[1,2,1,3,4,2,5,1,6,7,4,6,5,3,2]
#list_b=[]
#for i in list_a:
# if i not in list_b:
# list_b.append (i)
#print(list_b)
#python九九乘法表
#for i in range(1,10):
# for a in range (1,i+1):
# print('{}*{}={}\t'.format(a,i,i*a),end='')
# print()
"""圈圈小程序
import turtle as t
t.color('red')
for i in range(300):
t.fd(i)
t.left(120)
t.done()
"""
#1、将text中每个首字符大写的英文单词添加到一个列表中
"""text = "Early in the day it was whispered that we should sail in a boat, only thou and I, and never a soul in the world would know of this our pilgrimage to no country and to no end"
g=text.split( )
b=[]
for i in g:
if i.istitle():
b.append(i)
print(b)"""
#2、将首字符小写的单词转换为首字符大写
#a=text.title()
#print(a)
#3、将text中所有的包含a的字符替换成博文两个字
#a=text.replace('a','博文')
#print(a)
#4、删除包含小t字符的单词后，组成一个新的字符串
# g=text.split(' ')
# for i in g:
# if 't' in i:
# g.remove(i)
# b=' '.join(g)
# print ('hello'.find ('e'))
#x="tom猫"
#print(f"你好 {x}")
#:空白字符包含：空白、\n \t \r 回车
# a='hello'
# print(a[::-1])
#a=str(input('回文：' ))
#for i in range (0,int(len(a))):
# if a[i]!=a[-i-1]:
# print('不是回文')
# break
#else:
# print('是回文')
'''a=[1,2,3,4]
b=list(a)
b= a[::-1]
print(b)'''
#a=[8,1,4,6,7]
"""a=list(input('输入数据:'))
b=len(a)
for i in range (b):
for j in range(b-1):
if a[j]>a[j+1]:
a[j],a[j+1]=a[j+1],a[j]
print(a)"""
# 统计字符串长度大于5的
# 将e全部替换成博文
# 截取第一个逗号前的所有单词，并将首字符大写
# 删除除包含英文o的单词
s="""Then one day the mother eagle appeared at the top of the mountain cliff, with a big bowl of delicious food and she looked down at her baby. The baby looked up at the mother and cried "Why did you abandon me? I'm going to die any minute.'How could you do this to me?"""
"""统计字符串长度大于5的
b=[]
c=s.split()
for i in c:
if len(i)>5:
b.append(i)
d=len(b)
print(d)"""
"""截取第一个逗号前的所有单词，并将首字符大写；
c=s.split(',')
d=c[0]
e=''.join(d)
f=e.title()
print(f)"""
"""删除除包含英文o的单词
c=s.split(' ')
for i in c:
if 'o' in i:
c.remove(i)
b=' '.join(c)
print(b)"""
# a=[1,3,11]
# for i,j in enumerate(a):
# #print(j)
#print(j)
# a=["面包","火腿","香蕉","苹果","桔子"]
# b=[30,50,20,25,40]
# k=[90,35,20,70,26]
# print('商品编号\t商品名\t\t\t单价')
# for i ,j in enumerate(a):
# print('{}\t\t\t{}\t\t\t{}'.format(i,j,b[i]))
# while True:
# c=int (input('请输入商品编号'))
# if 0<=len(a):
# d=int(input('请输入购买数量:'))
# if 0<(d):
# e=input('是否使用会员?(y / n)')
# if e=='y':
# f=input('请输入会员卡号:')
# if f in ['123456','666666']:
# print('应付金额为{}元'.format(b[int(c)]*int(d)*0.95))
# else:
# print('会员卡号输入错误!')
# elif e=='n':
# print('应付金额为{}元'.format(b[int(c)] * int(d)))
# else:
# print('输入无效,只能输入“yes”或"no"')
# else:
# print('数量输入错误!')
# else:
# print('商品号输入错误!')
# 求1,2,3,4，可以组成多少个三位数
# 字符串类型的123456在不使用int()转为数字类型
# a=[1,2,3,4]
# for i in(a):
# for j in(a):
# for q in (a):
# c=('{}{}{}'.format(i,j,q))
# print(list((c))
# a='123456'
# i=(int)
# while True:
# if str(i)==a:
# print(i)
# break
# else:
# i+=1
# A={1,2,3,4,5,6}
# B={1,2,3,7,8}
# c=A.union(B)
# print(c)
# 导入随机数库 【内置库】
# import random
# b=random.randint(1,10)
# print(b)
# 列表推导式
#print ([a for a in range (10)])
# 先写一个空的列表
# 定义一个新的变量名
# 写循环语句
# print([a for a in range (100) if a%2==0]) #100以内被2整除的数字
# 一张纸，厚度0.08mm，珠穆朗玛峰高8848m，求折叠多少次能超过珠穆朗玛峰？
# a = ["ads", "dafdsa5"," jjajs", "dfdsdas"]
# p = ["fdsfd", "fdsfdsaffdsa", "", "jjja", '213232'']
"""
账号长度在6～8之间为合法的账号
密码的长度在5～7之间为合法的密码
账号和密码都符合上述要求，将账号密码以键值对的形式保存
"""
# c=[]
# b=[]
# for i in a:
# if len(i)>=6 and 8>=len(i):
# c.append(i)
# for j in p:
# if len (j)>=5 and 7>=len(j):
# b.append(j)
# print(dict(zip(c,b)))
# d={
# "key":1000,
# "key1":['我是列表'],
# "key3":{1:2000,3:["a","b","c"]}
# }
# k={1:10000,2:20000 }
# # k.setdefault("3")
# print(tuple(k))
import xlwt
a = [
["序号", "名字", "年龄", "性别"],
[1, "张三", 20, "男"],
[2, "李四", 19, "男"],
[3, "王五", 18, "女"],
[4, "赵信", 16, "女"]
]
#新建一个Excel文件
#第一步：新建一个Excel文件
#xlwt.workbook()新建一个文件excel文件
d =xlwt.Workbook()
#第二步：新建一个Excel表 add_sheet(工作表的名字)表名必填
table =d.add_sheet("表一")
#第三步：写入数据到Excel表中，一次写入一个单元格
#write（行号，列号，要写入的数据）
for i in range(len(a)):
for j in range(len(a[i])):
table.write( i,j,a[i][j])
#第四步：保存Excel文件
#save（'Excel文件名'）
d.save('wwww.xls')
| [
"13525038273@163.com"
] | 13525038273@163.com |
9e0dcbef25fe0a97778094ddff84c585d45852b6 | 5d64bc5b5fa503e2276279701dab095e1e3373b1 | /bitwise/s4_8-reverse_digits.py | 1652da0fcf3e7cc29046720a24955a62a2701cba | [] | no_license | mknguyen1202/DataStructures_Algorithms | a8fe44fa2f665f3ef4d77a3f86e61f474a3457e6 | 2a120fa2a59e7a5faca024cb9c295e9912f1d5d8 | refs/heads/master | 2023-01-27T22:21:50.266975 | 2020-12-03T22:51:27 | 2020-12-03T22:51:27 | 298,703,165 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 289 | py | '''
Write a program which takes an integer and returns the integer corresponding to the digits of the input
written in reverse order. For example,
input: 42
output: 24
input: -314
output: -413
'''
def reverse_bf(x: int) -> int:
# TODO
def reverse(x: int) -> int:
# TODO
| [
"mknguyen1202@Kiets-MacBook-Pro.local"
] | mknguyen1202@Kiets-MacBook-Pro.local |
80366beb358b095b23c59e971c685289297d05e2 | 240cef6123b0ab2a8320258a0f5163d8834b9a16 | /py10.py | cee6cbb788456f7119be5117bb208fd5a335d750 | [] | no_license | Sankeerth0214/OCR-FR-1 | 814133520a38aa3c2879507ab1d1090b89dda1d5 | 4d612729d7c3296db4b06d26bea23b8d08fee031 | refs/heads/master | 2021-01-01T16:56:58.553656 | 2017-07-10T08:06:39 | 2017-07-10T08:06:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 136 | py | n=input("enter a range")
a=[]
for i in range(n):
b=input()
a.append(b)
print("maximum number in")
print a
print "is"
print(max(a)) | [
"noreply@github.com"
] | Sankeerth0214.noreply@github.com |
f5b9309479e7f2a7355c5b529b91f4d3fd8116df | bb21d28495eb6c53ccef823fa1bdcf1ff1d9b57e | /JDMR_Ischool/urls.py | f3ab8e7425acd5d6292f6b04214d36f46b53ede8 | [] | no_license | hostingdemo/demo110-master | 9b9ea6026abf019a1dcf074e6e21b572dcb842a5 | 3ae2bd84f46fa766bc860b0a63cbcb3674ece838 | refs/heads/master | 2023-07-04T08:37:24.570492 | 2021-07-28T12:00:56 | 2021-07-28T12:00:56 | 388,441,041 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 467 | py | from django.contrib import admin
from django.urls import path, include
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
path('admin/', admin.site.urls),
path('accounts/', include('allauth.urls')),
path('', include('users.urls')),
path('api/',include('rest_api.urls'))
]+ static(settings.STATIC_URL, document_root=settings.STATIC_ROOT) + static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)
| [
"hostingtask@gmail.com"
] | hostingtask@gmail.com |
6f3c9299f5b03491e4aa0a69f391ff86c4f62761 | ce670c59c0464aea06d53c8fa752402405543b06 | /migrations/versions/1121a6f0c8de_no_update_become_date.py | 9ae2b41ae3fada062139d9db54f83309d3d2d6ca | [] | no_license | gbarre/capsule-api | 23548b8e8af8c563df12fc7a04a75d7f9136c906 | 52d4e648851a24515052e5597d3322e3029c3c52 | refs/heads/master | 2023-03-08T10:24:21.685406 | 2022-06-01T07:46:38 | 2022-06-01T07:46:38 | 247,653,584 | 2 | 2 | null | 2022-12-08T07:44:45 | 2020-03-16T08:53:52 | Python | UTF-8 | Python | false | false | 1,032 | py | """no_update become date
Revision ID: 1121a6f0c8de
Revises: a0141c36b7c0
Create Date: 2021-03-05 11:48:49.709201
"""
from alembic import op
import sqlalchemy as sa
import models
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = '1121a6f0c8de'
down_revision = 'a0141c36b7c0'
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column('capsules', 'no_update',
existing_type=mysql.TINYINT(display_width=1),
type_=sa.DateTime(),
existing_nullable=False)
op.execute("UPDATE capsules SET no_update = '1970-01-01 10:00:00';")
# ### end Alembic commands ###
def downgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column('capsules', 'no_update',
existing_type=sa.DateTime(),
type_=mysql.TINYINT(display_width=1),
existing_nullable=False)
# ### end Alembic commands ###
| [
"guillaume.barre@ac-versailles.fr"
] | guillaume.barre@ac-versailles.fr |
19e5b00f91bf0b3b5006b61638f0eaf93703a415 | cbfb679bd068a1153ed855f0db1a8b9e0d4bfd98 | /leet/facebook/strings_arrays/implement_trie(prefix_tree).py | d2417b0002dda188bd8067925406649cf3692fca | [] | no_license | arsamigullin/problem_solving_python | 47715858a394ba9298e04c11f2fe7f5ec0ee443a | 59f70dc4466e15df591ba285317e4a1fe808ed60 | refs/heads/master | 2023-03-04T01:13:51.280001 | 2023-02-27T18:20:56 | 2023-02-27T18:20:56 | 212,953,851 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,538 | py | # this solution is slow but looks right
# we declared TrieNode. It store list of TrieNodes inside of length 26
class TrieNode:
def __init__(self):
self.links = [None] * 26
self.end = False
def get(self, char):
return self.links[ord(char) - ord('a')]
def contains(self, char):
return self.links[ord(char) - ord('a')] != None
def put(self, char, node):
index = ord(char) - ord('a')
self.links[index] = node
def is_end(self):
return self.end
def set_end(self):
self.end = True
class Trie:
def __init__(self):
"""
Initialize your data structure here.
"""
self.root = TrieNode()
def insert(self, word: str) -> None:
"""
Inserts a word into the trie.
"""
node = self.root
for ch in word:
if not node.contains(ch):
node.put(ch, TrieNode())
node = node.get(ch)
node.set_end()
def __search_prefix(self, word):
node = self.root
for ch in word:
if node.contains(ch):
node = node.get(ch)
else:
return None
return node
def search(self, word: str) -> bool:
"""
Returns if the word is in the trie.
"""
node = self.__search_prefix(word)
return node is not None and node.is_end()
def startsWith(self, prefix: str) -> bool:
"""
Returns if there is any word in the trie that starts with the given prefix.
"""
node = self.__search_prefix(prefix)
return node is not None
# Your Trie object will be instantiated and called as such:
# obj = Trie()
# obj.insert(word)
# param_2 = obj.search(word)
# param_3 = obj.startsWith(prefix)
# this solution is much faster but underneath it uses dict
class TrieDict:
def __init__(self):
"""
Initialize your data structure here.
"""
self.root = dict()
def insert(self, word: str) -> None:
"""
Inserts a word into the trie.
"""
currNode = self.root
for c in word:
if c not in currNode:
currNode[c] = dict()
currNode = currNode[c]
# this placeholder denotes the end of a string
# consider these two words abcc and abccd
# after inserting the words to the trie we have
# {'a': {'b': {'c': {'c': {'#': '#'}}}}}
# {'a': {'b': {'c': {'c': {'#': '#', 'd': {'#': '#'}}}}}}
# when searching the word after reaching the latest letter in word
# we also check if the '#' among children of the latest letter
# so the '#' allows us to say if the whole word (not prefix) is in the Trie
currNode['#'] = '#'
print(self.root)
def search(self, word: str) -> bool:
"""
Returns if the word is in the trie.
"""
currNode = self.root
for c in word:
if c not in currNode:
return False
currNode = currNode[c]
return '#' in currNode
def startsWith(self, prefix: str) -> bool:
"""
Returns if there is any word in the trie that starts with the given prefix.
"""
currNode = self.root
for c in prefix:
if c not in currNode:
return False
currNode = currNode[c]
return True
if __name__ == "__main__":
s = TrieDict()
s.insert("abcc")
s.insert("abccd")
| [
"ar.smglln@gmail.com"
] | ar.smglln@gmail.com |
74a441c692613e5f6d9340f57bc795abc62143c4 | c959e6f17c2b4c1e40dc6169a53cf422cdc60242 | /tools/recording/features.py | 81828562d038cb042ff1d904d5fb10d2cb9043de | [
"Apache-2.0",
"LicenseRef-scancode-proprietary-license",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | geoffxy/habitat | 7931d6272973d028fc01abc94d2643718d870d72 | 5f01e523a1dc30dbfbaaa39cf4880a534c7781a2 | refs/heads/master | 2023-05-23T19:56:47.430514 | 2022-11-26T04:46:14 | 2022-11-26T04:46:14 | 372,279,560 | 48 | 9 | Apache-2.0 | 2022-11-26T04:46:15 | 2021-05-30T17:45:52 | Python | UTF-8 | Python | false | false | 640 | py |
conv2d = [
'bias',
'batch',
'image_size',
'in_channels',
'out_channels',
'kernel_size',
'stride',
'padding',
]
bmm = [
'batch',
# (batch, left, middle) x (batch, middle, right)
'left',
'middle',
'right',
]
lstm = [
'bias', # 0 or 1, represents the bias flag
'bidirectional', # 0 or 1, represents the bidirectional flag
'batch',
'seq_len',
'input_size',
'hidden_size',
'num_layers',
]
linear = [
'bias',
'batch',
'in_features',
'out_features',
]
FEATURES = {
'bmm': bmm,
'conv2d': conv2d,
'linear': linear,
'lstm': lstm,
}
| [
"gxyu@cs.toronto.edu"
] | gxyu@cs.toronto.edu |
bd99ee4471270f22b8beb7ca1b17ae9959c13aaf | 5b39000731517e9e77db789f2d253fd8dd1bbcda | /gamesapi/gamesapi/urls.py | e87a1ec8d70bd1ded577a1eb37dcf1bfc7176ec9 | [] | no_license | bunnycast/RestAPI | 831a01c592ff91bebb410f060aaa8f19c7b40361 | 1f2b6837342a04c59752119eebb16a7eeeecaa4c | refs/heads/master | 2022-11-16T21:25:26.485393 | 2020-07-20T03:12:52 | 2020-07-20T03:12:52 | 276,662,261 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 910 | py | """gamesapi URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.conf.urls import url
from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('admin/', admin.site.urls),
url(r'^', include('games.urls')),
url(r'^api-auth/', include('rest_framework.urls')), # api logIn, logOut
]
| [
"berzzubunny@gmail.com"
] | berzzubunny@gmail.com |
37c1b77dd3586311b40f194e2b54e9d3196a58e6 | f874b3bffdf98ea52a12f9cd08566557e33d4c98 | /extract_info.py | 661aedd6a01faa476fa02e92316332480fa98e79 | [
"Apache-2.0"
] | permissive | lmorillas/recursoscaa | 8e567246f722a38a7fb61dd6a884fd0d153cd338 | bac2ff39d67028ca8d4969d23f5061f09be59a0e | refs/heads/master | 2018-12-28T00:24:31.042017 | 2015-08-29T08:13:23 | 2015-08-29T08:13:23 | 32,229,559 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,684 | py | from amara.bindery import html
from amara.lib import U
from urlparse import urljoin
doc = html.parse('http://es.slideshare.net/JosManuelMarcos/presentations')
doc2 = html.parse('http://es.slideshare.net/JosManuelMarcos/presentations/2')
links = []
datos = []
def extract_links(doc):
return doc.xml_select('//ul[@class="thumbnailFollowGrid"]/li//a')
links.extend(extract_links(doc))
links.extend(extract_links(doc2))
print len(links), 'recursos a extraer ...'
def encode_data(d):
for k in d.keys():
d[k] = d[k].encode('utf-8')
return d
def extract_data(link):
item = {}
_link = urljoin('http://es.slideshare.net/', U(link.href))
_doc = html.parse(_link)
if doc:
print _link
item['url'] = _link
item['id'] = _link.split('/')[-1]
item['autor'] = []
_label = U(_doc.xml_select('//h1[contains(@class, "slideshow-title-text")]')).strip()
if u'Romero' in _label:
item['autor'].append('David Romero')
item['autor'].append(U(_doc.xml_select('//a[@class="j-author-name"]')).strip())
item['label'] = _label.split('-')[0].strip()
item['fecha'] = U(_doc.xml_select('//time[@itemprop="datePublished"]')).strip()
_desc = U(_doc.xml_select('//p[contains(@class, "j-desc-expand")]')).strip()
if _desc:
item['desc'] = _desc
else:
item['desc'] = U(_doc.xml_select('//div[contains(@class, "j-desc-more")]')).strip()
item['imagen'] = _doc.xml_select(u'//img[contains(@class, "slide_image")]')[0].src
return item
datos = [extract_data(l) for l in links]
import json
json.dump({'items': datos}, open('datos.json', 'w'))
'''
d2 = html.parse(urljoin('http://es.slideshare.net/', l)
print d2.xml_encode()
d2.xml_select('//time')
map(d2.xml_select('//time'), lambda x: print x)
map( lambda x: print x, d2.xml_select('//time'))
lambda x: print x
__version__
version
_version_
print d2.xml_select('//time')[0]
print d2.xml_select('//time')[1]
print d2.xml_select('//time[@itemprop="datePublished"]')
print d2.xml_select('//time[@itemprop="datePublished"]')[0]
print d2.xml_select('//time[@itemprop="datePublished"]')[0]
print d2.xml_select('//a[@class="j-author-name"]/text()')
print d2.xml_select('//a[@class="j-author-name"]')
print d2.xml_select('//a[@class="j-author-name"]')
from amara.lib import U
print U(d2.xml_select('//a[@class="j-author-name"]')).strip()
print U(d2.xml_select('//div[contains(@class, "j-desc-more")]')).strip()
print U(d2.xml_select('//a[contains(@class, "j-download")]')).strip()
history
''' | [
"morillas@gmail.com"
] | morillas@gmail.com |
b22d43086123ed1fc379168323a312a3f843dbb6 | da8a01889163fc0438bd53cf94547383379a1be8 | /social_network/tests/test_views.py | f90aa642c613588f631512b716e830b8ca0abc32 | [] | no_license | t1m4/social-network-with-jwt-authentication | 853df6001ca93aa52e87524d986b28094acd89fb | 3153db80335bd851512b83bddc5b67f7ce591892 | refs/heads/master | 2023-06-29T06:57:00.233578 | 2021-07-21T04:51:04 | 2021-07-21T04:51:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,866 | py | from datetime import datetime, timedelta
from django.urls import reverse
from django.utils.timezone import make_aware
from rest_framework import status
from rest_framework.test import APITestCase, APITransactionTestCase
from authentication.models import User
from social_network.models import Post, Like
class CreatePostViewTest(APITestCase):
@classmethod
def setUpTestData(cls):
"""
setup data for whole class
"""
cls.create_post_url = reverse('social_network-create_post')
cls.user_data = {
'email': 'test1@mail.ru',
'username': 'test1',
'password': 'alksdfjs',
}
u = User.objects.create(**cls.user_data)
cls.access = u.tokens['access']
def setUp(self):
self.post_data = {
'id': 2,
'title': 'title',
'description': 'description'
}
self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.access)
def test_cannot_create_post_without_authorization(self):
self.client.credentials()
response = self.client.post(self.create_post_url)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_cannot_create_post_without_data(self):
response = self.client.post(self.create_post_url)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_cannot_create_post_with_invalid_fields(self):
data = self.post_data
data.pop('title')
response = self.client.post(self.create_post_url, data)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_can_create_post(self):
response = self.client.post(self.create_post_url, self.post_data)
data = response.json()
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertEqual(data.get('title'), self.post_data.get('title'))
self.assertEqual(data.get('description'), self.post_data.get('description'))
def like_and_unlike_setUp(self):
self.like_url = reverse('social_network-like')
self.unlike_url = reverse('social_network-unlike')
user_data = {
'email': 'test1@mail.ru',
'username': 'test1',
'password': 'alksdfjs',
}
u = User.objects.create(**user_data)
self.client.credentials(HTTP_AUTHORIZATION="Bearer " + u.tokens['access'])
post_one = {
'user': u,
'title': 'title',
'description': 'description',
}
post_id = Post.objects.create(**post_one).id
self.like_data = {
'post_id': post_id
}
class LikeViewTest(APITransactionTestCase):
def setUp(self):
like_and_unlike_setUp(self)
def test_cannot_like_without_data(self):
response = self.client.post(self.like_url)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_cannot_like_without_authorization(self):
self.client.credentials()
response = self.client.post(self.like_url)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_can_like(self):
response = self.client.post(self.like_url, self.like_data)
data = response.json()
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertIsNotNone(data.get('create_at'))
def test_cannot_like_if_already_like(self):
self.client.post(self.like_url, self.like_data)
response = self.client.post(self.like_url, self.like_data)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_cannot_like_not_exists_post(self):
self.like_data['post_id'] = 2
self.client.post(self.like_url, self.like_data)
response = self.client.post(self.like_url, self.like_data)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
class UnlikeViewTest(APITransactionTestCase):
def setUp(self):
like_and_unlike_setUp(self)
def test_cannot_unlike_without_data(self):
self.client.post(self.like_url, self.like_data)
response = self.client.post(self.unlike_url)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_cannot_unlike_without_authorization(self):
self.client.credentials()
self.client.post(self.like_url, self.like_data)
response = self.client.post(self.unlike_url)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_can_unlike(self):
self.client.post(self.like_url, self.like_data)
response = self.client.post(self.unlike_url, self.like_data)
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
def test_cannot_unlike_if_not_exist_like(self):
response = self.client.post(self.unlike_url, self.like_data)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_cannot_unlike_not_exists_post(self):
self.like_data['post_id'] += 1
self.client.post(self.unlike_url, self.like_data)
response = self.client.post(self.like_url, self.like_data)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
class AnalyticsViewTest(APITestCase):
"""
If each user like his every post and another user like half his posts:
All like - users_count * posts_count + users_count * int(posts_count / 2)
analytics return count - posts_count + int(posts_count / 2)
If each user like his every post and another user like every his posts:
All like - 2 * users_count * posts_count
analytics return count - 2 * posts_count
If each user like his every post and each other users like every his posts:
All like - users_count * users_count * posts_count
analytics return count - users_count * posts_count
"""
users_count = 3
posts_count = 4
def setUp(self):
self.analytics_url = reverse('social_network-analytics')
self.date_from = "2021-07-01"
self.date_to = "2021-07-25"
self.params = "?date_from={date_from}&date_to={date_to}".format(date_from=self.date_from, date_to=self.date_to)
users = self.create_users()
for i in range(self.users_count):
user = users[i]
# like half posts for the next user
# posts = users[(i + 1) % self.users_count].post_set.all()[:int(self.posts_count / 2)]
posts = users[(i + 1) % self.users_count].post_set.all()
for post in posts:
like = Like.objects.create(user=user, post=post)
like.create_at = make_aware(datetime(year=2021, month=7, day=12))
like.save()
self.auth_user = users[0]
self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.auth_user.tokens['access'])
def create_users(self):
"""
create user and its post and like it
"""
user_data = {
'email': 'test_0@mail.ru',
'username': 'test_0',
'password': 'alksdfjs',
}
post_data = {
'user': 'user',
'title': 'title_0',
'description': 'description',
}
users = []
for i in range(self.users_count):
user_data['email'] = user_data['email'].replace(str(i), str(i + 1))
user_data['username'] = user_data['username'].replace(str(i), str(i + 1))
user = User.objects.create(**user_data)
users.append(user)
post_data['user'] = user
# create post for user and like it.
for i in range(self.posts_count):
post_data['title'] = post_data['title'].replace(str(i), str(i + 1))
post = Post.objects.create(**post_data)
like = Like.objects.create(user=user, post=post)
like.create_at = make_aware(datetime.now() + timedelta(days=i))
like.save()
return users
def test_cannot_get_without_data(self):
response = self.client.get(self.analytics_url)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_cannot_analytics_without_authorization(self):
self.client.credentials()
response = self.client.get(self.analytics_url + self.params)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_can_get_analytics(self):
response = self.client.get(self.analytics_url + self.params)
data = response.json()
like_count = 0
for i in data:
day = datetime.strptime(i.get('day'), "%Y-%m-%d")
# get every like with this user and in this range date
likes = Like.objects.filter(post__user=self.auth_user, create_at__year=day.year,
create_at__month=day.month, create_at__day=day.day)
day_likes = i.get('count')
self.assertEqual(likes.count(), day_likes)
like_count += day_likes
def test_cannot_if_likes_not_exist(self):
Like.objects.all().delete()
response = self.client.get(self.analytics_url + self.params)
data = response.json()
self.assertEqual(data, [])
def test_cannot_get_analytics_with_invalid_date(self):
self.params = self.params.replace(self.date_from, self.date_from + "1")
response = self.client.get(self.analytics_url + self.params)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
class ActivityViewTest(APITestCase):
def setUp(self):
self.analytics_url = reverse('social_network-activity')
user_data = {
'email': 'test1@mail.ru',
'username': 'test1',
'password': 'alksdfjs',
}
self.user = User.objects.create(**user_data)
self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.user.tokens['access'])
self.params = "?username={username}".format(username=user_data.get('username'))
def test_cannot_get_without_data(self):
response = self.client.get(self.analytics_url)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_cannot_analytics_without_authorization(self):
self.client.credentials()
response = self.client.get(self.analytics_url)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_can_get_activity(self):
response = self.client.get(self.analytics_url + self.params)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_cannot_if_user_not_exist(self):
self.params += "invalid"
response = self.client.get(self.analytics_url + self.params)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
| [
"50275532+t1m4@users.noreply.github.com"
] | 50275532+t1m4@users.noreply.github.com |
59e26cb7170ffa57c95ffefd8600b4a5dd800ddb | 9335ca6cdc25b6adc87300d1714325463b6aad76 | /polls/admin.py | 500a68f0dac52db1a99565b334094fd6ae85f41d | [] | no_license | Anna159/Polls | cfea9450a77ea9dd5ac7bf6b4c736a0a54949eba | 2531be9d9c3a7a2ddac160ad1239f346a2dce647 | refs/heads/master | 2021-02-08T16:34:08.249986 | 2020-03-01T15:26:19 | 2020-03-01T15:26:19 | 244,172,354 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,063 | py | from django.contrib import admin
from .models import Choice, Question, Tag
class QuestionAdmin(admin.ModelAdmin):
fieldsets = [
(None, {'fields': ['question_text']}),
('Date information', {'fields': ['pub_date']}),
('Tags', {'fields': ['tags']}),
]
list_filter = ['pub_date']
list_display = ('question_text', 'pub_date', 'was_published_recently','get_tag')
search_fields = ['question_text']
autocomplete_fields = ['tags']
def get_tag(self, obj):
return ", ".join([p.tag_name for p in obj.tags.all()])
class Meta:
model= Question
class TagAdmin(admin.ModelAdmin):
search_fields = ['tag_name']
def get_search_results(self, request, queryset, search_term):
queryset, use_distinct = super().get_search_results(request, queryset, search_term)
queryset = queryset.filter(is_active=True)
return queryset, use_distinct
admin.site.register(Question, QuestionAdmin)
admin.site.register(Choice)
admin.site.register(Tag, TagAdmin)
| [
"noreply@github.com"
] | Anna159.noreply@github.com |
71bacaaa1f126e95abfa5f4e50e72c7bf3c92afe | 54db7b3015b01378ccf28de6419010835e3cb93b | /secret_words.py | 0dac7b95b71ad8185e7d45aef247d0ee9e6aee72 | [] | no_license | Mortisanti/Hangman | 173344683a00904439eaeb4011377eb35b0c41e2 | f232c3eaceca5dfe20bda056dd58b7033beec645 | refs/heads/main | 2023-05-28T07:24:39.261420 | 2021-06-09T01:01:50 | 2021-06-09T01:01:50 | 323,566,647 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,003,192 | py | import random
eng_dictionary = [
"aachen",
"aardvark",
"aardvarks",
"aaron",
"aback",
"abacus",
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"wistful",
"wistfully",
"wistfulness",
"wistly",
"wit",
"witch",
"witchcraft",
"witchery",
"witches",
"witching",
"with",
"withal",
"withdraw",
"withdrawal",
"withdrawals",
"withdrawing",
"withdrawn",
"withdraws",
"withdrew",
"wither",
"withered",
"withering",
"withers",
"withheld",
"withhold",
"withholding",
"withholds",
"within",
"without",
"withstand",
"withstanding",
"withstands",
"withstood",
"witless",
"witlessly",
"witlessness",
"witness",
"witnessed",
"witnesses",
"witnessing",
"wits",
"witted",
"witter",
"wittered",
"wittering",
"witters",
"wittgenstein",
"witticism",
"witticisms",
"wittier",
"wittiest",
"wittily",
"wittiness",
"witting",
"wittingly",
"witty",
"wives",
"wizard",
"wizardry",
"wizards",
"wizen",
"wizened",
"wnw",
"wobble",
"wobbled",
"wobbles",
"wobbling",
"wobbly",
"woe",
"woebegone",
"woeful",
"woefully",
"woes",
"wok",
"woke",
"woken",
"wolf",
"wolfing",
"wolfish",
"wolfishly",
"wolflike",
"wolfram",
"wolfs",
"wolves",
"woman",
"womanhood",
"womanish",
"womanize",
"womanized",
"womanizes",
"womanizing",
"womanly",
"womb",
"wombat",
"wombats",
"wombs",
"women",
"won",
"wonder",
"wondered",
"wonderful",
"wonderfully",
"wonderfulness",
"wondering",
"wonderingly",
"wonderland",
"wonders",
"wondrous",
"wondrously",
"wondrousness",
"wont",
"wonted",
"wonting",
"woo",
"wood",
"woodbine",
"woodcarver",
"woodcarvers",
"woodchuck",
"woodcock",
"woodcut",
"woodcuts",
"woodcutter",
"woodcutters",
"wooded",
"wooden",
"woodenhead",
"woodenheaded",
"woodenly",
"woodenness",
"woodland",
"woodlands",
"woodpecker",
"woodpeckers",
"woodpile",
"woodpiles",
"woods",
"woodshed",
"woodsman",
"woodsmen",
"woodwind",
"woodwork",
"woodworking",
"woodworm",
"woodworms",
"woody",
"woodyard",
"wooed",
"wooer",
"woof",
"woofer",
"woofers",
"wooing",
"wool",
"wooled",
"woolen",
"woolens",
"woolgather",
"woollier",
"woollies",
"woolliest",
"woolly",
"woos",
"word",
"worded",
"wordily",
"wordiness",
"wording",
"wordlessly",
"wordprocessor",
"wordprocessors",
"words",
"wordy",
"wore",
"work",
"workability",
"workable",
"workableness",
"workably",
"workaday",
"workbag",
"workbench",
"workbox",
"workboxes",
"workday",
"workdays",
"worked",
"worker",
"workers",
"workhorse",
"workhorses",
"workhouse",
"workhouses",
"working",
"workingman",
"workings",
"workload",
"workloads",
"workman",
"workmanlike",
"workmanship",
"workmate",
"workmates",
"workmen",
"workout",
"workouts",
"workpiece",
"workpieces",
"works",
"worksheet",
"worksheets",
"workshop",
"workshops",
"workspace",
"workstation",
"workstations",
"worktable",
"world",
"worldliness",
"worldly",
"worlds",
"worldwide",
"worm",
"wormed",
"worming",
"worms",
"wormwood",
"wormy",
"worn",
"worried",
"worriedly",
"worrier",
"worries",
"worriment",
"worrisome",
"worry",
"worrying",
"worryingly",
"worse",
"worsen",
"worsened",
"worsening",
"worsens",
"worship",
"worshipful",
"worshipfully",
"worshipfulness",
"worshipped",
"worshipper",
"worshippers",
"worshipping",
"worships",
"worst",
"worsted",
"worth",
"worthier",
"worthiest",
"worthily",
"worthiness",
"worthington",
"worthless",
"worthlessly",
"worthlessness",
"worthwhile",
"worthy",
"would",
"wound",
"wounded",
"wounding",
"wounds",
"woundwort",
"wove",
"woven",
"wow",
"wowed",
"wrack",
"wraf",
"wrangle",
"wrangled",
"wrangler",
"wrangles",
"wrangling",
"wrap",
"wrapped",
"wrapper",
"wrappers",
"wrapping",
"wrappings",
"wraps",
"wrasse",
"wrath",
"wrathful",
"wrathfully",
"wreak",
"wreaked",
"wreaking",
"wreaks",
"wreath",
"wreathe",
"wreathed",
"wreathes",
"wreathing",
"wreaths",
"wreck",
"wreckage",
"wrecked",
"wrecker",
"wreckers",
"wrecking",
"wrecks",
"wren",
"wrench",
"wrenched",
"wrenches",
"wrenching",
"wrens",
"wrest",
"wrested",
"wresting",
"wrestle",
"wrestled",
"wrestler",
"wrestlers",
"wrestles",
"wrestling",
"wrestlings",
"wrests",
"wretch",
"wretched",
"wretcheder",
"wretchedest",
"wretchedness",
"wretches",
"wrier",
"wriest",
"wriggle",
"wriggled",
"wriggler",
"wrigglers",
"wriggles",
"wriggling",
"wrigley",
"wring",
"wringer",
"wringing",
"wrings",
"wrinkle",
"wrinkled",
"wrinkles",
"wrinkling",
"wrinkly",
"wrist",
"wristband",
"wristed",
"wrists",
"wristwatch",
"wristwatches",
"writ",
"writable",
"write",
"writer",
"writers",
"writes",
"writeup",
"writeups",
"writhe",
"writhed",
"writhes",
"writhing",
"writing",
"writings",
"writs",
"written",
"wrong",
"wrongdoer",
"wrongdoers",
"wrongdoing",
"wronged",
"wrongful",
"wrongfully",
"wrongfulness",
"wrongly",
"wrongness",
"wrongs",
"wrote",
"wroth",
"wrought",
"wrung",
"wry",
"wryly",
"wryness",
"wsw",
"wyoming",
"xavier",
"xenon",
"xenophobe",
"xenophobia",
"xenophobic",
"xerography",
"xerox",
"xeroxes",
"xii",
"xiii",
"xiv",
"xix",
"xmas",
"xray",
"xrays",
"xvi",
"xvii",
"xviii",
"xxi",
"xxii",
"xxiii",
"xxiv",
"xxix",
"xxv",
"xxvi",
"xxvii",
"xxviii",
"xxx",
"xylene",
"xylophone",
"xylophones",
"yacht",
"yachters",
"yachting",
"yachts",
"yachtsman",
"yachtsmen",
"yahoo",
"yahweh",
"yak",
"yaks",
"yale",
"yalta",
"yam",
"yamaha",
"yams",
"yang",
"yank",
"yanked",
"yankee",
"yankees",
"yanking",
"yanks",
"yap",
"yapped",
"yapper",
"yappers",
"yapping",
"yaps",
"yard",
"yardarm",
"yardman",
"yards",
"yardstick",
"yardsticks",
"yarn",
"yarns",
"yaw",
"yawed",
"yawing",
"yawl",
"yawls",
"yawn",
"yawned",
"yawner",
"yawning",
"yawns",
"yaws",
"yeah",
"year",
"yearbook",
"yearbooks",
"yearling",
"yearlings",
"yearly",
"yearn",
"yearned",
"yearning",
"yearningly",
"yearnings",
"yearns",
"years",
"yeas",
"yeast",
"yeastiness",
"yeasts",
"yeasty",
"yell",
"yelled",
"yeller",
"yellers",
"yelling",
"yellow",
"yellowed",
"yellowing",
"yellowish",
"yellows",
"yells",
"yelp",
"yelped",
"yelping",
"yelps",
"yemen",
"yemeni",
"yen",
"yeoman",
"yeomanry",
"yeomen",
"yes",
"yesterday",
"yesterdays",
"yesteryear",
"yet",
"yeti",
"yetis",
"yew",
"yews",
"yid",
"yiddish",
"yield",
"yielded",
"yielding",
"yieldingly",
"yields",
"yin",
"ymca",
"yodel",
"yodeled",
"yodeling",
"yodels",
"yoga",
"yoghourt",
"yoghourts",
"yogi",
"yogism",
"yogurt",
"yoke",
"yoked",
"yokel",
"yokels",
"yokes",
"yoking",
"yokohama",
"yolk",
"yolks",
"yolky",
"yom",
"yon",
"yonder",
"yore",
"york",
"yorkshire",
"yosemite",
"you",
"young",
"younger",
"youngest",
"youngish",
"youngster",
"youngsters",
"your",
"yours",
"yourself",
"yourselves",
"youth",
"youthful",
"youthfully",
"youthfulness",
"youths",
"yoyo",
"yoyos",
"ytterbium",
"yttrium",
"yuan",
"yugoslavia",
"yugoslavian",
"yukon",
"yule",
"yuletide",
"yummy",
"ywca",
"zabaglione",
"zagreb",
"zaire",
"zambezi",
"zambia",
"zambian",
"zanier",
"zaniest",
"zany",
"zanzibar",
"zap",
"zapped",
"zapping",
"zaps",
"zeal",
"zealand",
"zealot",
"zealotry",
"zealots",
"zealous",
"zealously",
"zealousness",
"zebra",
"zebras",
"zebrine",
"zebu",
"zechariah",
"zees",
"zen",
"zenith",
"zephaniah",
"zephyr",
"zeppelin",
"zeppelins",
"zero",
"zeroed",
"zeroes",
"zeroing",
"zeros",
"zest",
"zestful",
"zestfully",
"zesty",
"zeus",
"zigzag",
"zigzagged",
"zigzagging",
"zigzaggy",
"zigzags",
"zillion",
"zimbabwe",
"zinc",
"zion",
"zionism",
"zionist",
"zionists",
"zip",
"zipped",
"zipper",
"zippers",
"zipping",
"zippy",
"zips",
"zirconium",
"zither",
"zithers",
"zloty",
"zlotys",
"zodiac",
"zodiacal",
"zombie",
"zombies",
"zonal",
"zonally",
"zone",
"zoned",
"zones",
"zoning",
"zoo",
"zoological",
"zoologist",
"zoologists",
"zoology",
"zoom",
"zoomed",
"zooming",
"zooms",
"zoos",
"zoroaster",
"zoroastrian",
"zounds",
"zucchini",
"zurich"
]
eng_dictionary_sorted = sorted(eng_dictionary, key=len)
random.shuffle(eng_dictionary_sorted)
with open('easy.txt', 'w') as f:
for i in eng_dictionary_sorted:
if len(i) <= 6:
f.write(i + "\n")
with open('medium.txt', 'w') as f:
for i in eng_dictionary_sorted:
if (len(i) >= 7) and (len(i) <= 9):
f.write(i + "\n")
with open('hard.txt', 'w') as f:
for i in eng_dictionary_sorted:
if len(i) >= 10:
f.write(i + "\n") | [
"moltigamer@gmail.com"
] | moltigamer@gmail.com |
68f34fa40edddcc36ab7197801e2a409f62c0f53 | f0955458860c11c9fda9bea0ae7defde57cf4169 | /软件杯/源码/华云监控系统/后端代码/web/instance_io_read_monitor.py | a1524467bb9886767c8e4c0b2eafe6c9010fe05d | [] | no_license | WongHunter/huayun | 056d0b8338afb6c9dd0b4e1e9a062a4143145594 | 0fac21949311a05cf6c6a951ee5fd7bcda54de5f | refs/heads/master | 2020-06-03T12:06:29.415167 | 2019-11-18T13:09:37 | 2019-11-18T13:09:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,256 | py | #coding:utf-8
from flask import Flask,render_template,url_for
import json
from flask_cors import CORS
from tool.conf import id,region_id,access_key_id,access_secret
from instance.instance_io_read_monitor import InstanceIoReadMonitor
import time
import datetime
# 生成Flask实例
app = Flask(__name__)
CORS(app, supports_credentials=True)
@app.route('/InstanceIoReadMonitor/',methods=['GET','POST'])
def io_read():
start_time = (datetime.datetime.now() + datetime.timedelta(hours=-6)).strftime("%Y-%m-%d %H:%M:%S")
end_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
jsonData = InstanceIoReadMonitor(region_id, access_key_id, access_secret,start_time,end_time,id)
print(jsonData)
j = json.dumps(jsonData['data'][ "Data"])
return j
@app.route('/InstanceIoReadMonitor/<start_time>,<end_time>,<region_id>,<id>',methods=['GET','POST'])
def select_io_read(start_time,end_time,region_id,id):
jsonData = InstanceIoReadMonitor(region_id, access_key_id, access_secret, start_time, end_time, id)
print(jsonData)
j = json.dumps(jsonData['data']["Data"])
return j
if __name__ == '__main__':
# 运行项目
app.run(host='192.168.25.120', port=8080, debug=True, threaded=True) | [
"1829107965@qq.com"
] | 1829107965@qq.com |
516a5a03cda5ccb39245511c83691598d71b309b | b19768d7ef7d55cbc3c1f2aba2d6de30fb6328cd | /arguments.py | 3eb9b16fd21ffcad1423b58f2437bd0f6f670af1 | [] | no_license | MalarSankar/demo | 6e62e5bd76e3793a1e80d8e6347351d359f1b879 | 125ce2e949a89d50724033824e2c1488f5aab07d | refs/heads/master | 2023-02-18T13:18:26.330249 | 2021-01-18T07:30:43 | 2021-01-18T07:30:43 | 267,773,175 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 138 | py | def grade(name,*args):
c=0
for i in args:
c=c+i
avg=c/len(args)
print(name,"-",avg)
grade("ram",80,96,84,70,56)
| [
"smalar1998@gmail.com"
] | smalar1998@gmail.com |
2e9aa08846f96c2e9fca115396f47f66018acf19 | bfc81cb2fcb5e0fd839672be9d0439e41201ccf9 | /maltego/example/client.py | 1d016ae1adfabc46cc4a5402fa907578273e59ba | [] | no_license | cameronepstein/transforms | ab26b0ec187b4b1ccf95ee7b4d27d15be431760e | c2d9d95642f863edfa106f1a0cf30d60d4801b4a | refs/heads/master | 2021-01-18T01:26:56.158833 | 2016-09-22T13:38:34 | 2016-09-22T13:38:34 | 68,206,949 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,698 | py | #!/usr/bin/env python
import maltego
import sys
import optparse
class Client(object):
def __init__(self, url):
self.client = maltego.Client()
self.client.connect( url )
def do_list(self):
for k,v in self.client.transforms.items():
print " %s (%s) -> %s" % (k, v.input, v.output)
def do_transform(self, tname, *args):
trans = self.client.transforms[tname]
name = trans.input
entities = []
for val in args:
ent = maltego.Entity(name=name, value=val)
entities.append( ent )
entities = trans.transform(entities)
for ent in entities:
print ent.value
def main(argv):
parser = optparse.OptionParser()
parser.add_option('-u', '--url', dest="url", help="Transform URL",
default='http://localhost:9999')
parser.add_option('-l', '--list', dest="cmd", action="store_const",
const="list", default="list", help="List available Transforms")
parser.add_option('-t', '--transform', dest="cmd", action="store_const",
const="transform", help="Run Transform: <TransformToRun> <Value>")
options, args = parser.parse_args(argv)
if len(argv) == 1:
options.url = argv[0]
# need posistional arguements... wtf!
client = Client(options.url)
if options.cmd == 'list':
client.do_list()
elif options.cmd == 'transform':
if len(args) < 2:
print "transform requires TransformToRun <Value 1>[... <Value n>]"
return
tr_name = args[0]
vals = args[1:]
client.do_transform(tr_name, *vals)
if __name__ == '__main__':
main(sys.argv[1:])
| [
"cameron.a.epstein@gmail.com"
] | cameron.a.epstein@gmail.com |
8390aa51eac8e217edaa97a5517a3e6869fa5f8a | cf737d6f8bb3d2db9eb5756fd11cecb612f5694b | /pype/tests/lib.py | 85b903283608a7fbd8538fb043cc27f54089bb19 | [
"MIT"
] | permissive | jrsndl/pype | 7e04b9eaeadb339008a70dbab74864d5705a07ea | 47ef4b64f297186c6d929a8f56ecfb93dd0f44e8 | refs/heads/master | 2023-08-16T09:20:30.963027 | 2020-09-15T15:59:53 | 2020-09-15T15:59:53 | 297,372,053 | 1 | 0 | MIT | 2020-09-21T14:53:08 | 2020-09-21T14:53:08 | null | UTF-8 | Python | false | false | 1,897 | py | import os
import sys
import shutil
import tempfile
import contextlib
import pyblish
import pyblish.cli
import pyblish.plugin
from pyblish.vendor import six
# Setup
HOST = 'python'
FAMILY = 'test.family'
REGISTERED = pyblish.plugin.registered_paths()
PACKAGEPATH = pyblish.lib.main_package_path()
ENVIRONMENT = os.environ.get("PYBLISHPLUGINPATH", "")
PLUGINPATH = os.path.join(PACKAGEPATH, '..', 'tests', 'plugins')
def setup():
pyblish.plugin.deregister_all_paths()
def setup_empty():
"""Disable all plug-ins"""
setup()
pyblish.plugin.deregister_all_plugins()
pyblish.plugin.deregister_all_paths()
pyblish.plugin.deregister_all_hosts()
pyblish.plugin.deregister_all_callbacks()
pyblish.plugin.deregister_all_targets()
pyblish.api.deregister_all_discovery_filters()
def teardown():
"""Restore previously REGISTERED paths"""
pyblish.plugin.deregister_all_paths()
for path in REGISTERED:
pyblish.plugin.register_plugin_path(path)
os.environ["PYBLISHPLUGINPATH"] = ENVIRONMENT
pyblish.api.deregister_all_plugins()
pyblish.api.deregister_all_hosts()
pyblish.api.deregister_all_discovery_filters()
pyblish.api.deregister_test()
pyblish.api.__init__()
@contextlib.contextmanager
def captured_stdout():
"""Temporarily reassign stdout to a local variable"""
try:
sys.stdout = six.StringIO()
yield sys.stdout
finally:
sys.stdout = sys.__stdout__
@contextlib.contextmanager
def captured_stderr():
"""Temporarily reassign stderr to a local variable"""
try:
sys.stderr = six.StringIO()
yield sys.stderr
finally:
sys.stderr = sys.__stderr__
@contextlib.contextmanager
def tempdir():
"""Provide path to temporary directory"""
try:
tempdir = tempfile.mkdtemp()
yield tempdir
finally:
shutil.rmtree(tempdir)
| [
"annatar@annatar.net"
] | annatar@annatar.net |
6d0fdc2be8a40dc423859b9ca2808614fc3e68c6 | 4c3f1090ed8289fbcbeb3d79cb0c3e36581fc543 | /users/forms.py | 780de3406c3fa1fa4e466069d2957547f4ad9b52 | [] | no_license | Isarangn/dj_blog | 9f32b08f31718eb9783a614380f08297846a6d8b | c3217c58a7bc880b450d3ce8e4210bd80762d841 | refs/heads/master | 2022-11-30T03:40:30.757952 | 2020-08-09T08:07:05 | 2020-08-09T08:07:05 | 286,167,682 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 589 | py | from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from .models import Profile
class UserRegistrationForm(UserCreationForm):
email = forms.EmailField()
class Meta:
model = User
fields = ['username', 'email', 'password1', 'password2']
class UserUpdateForm(forms.ModelForm):
email = forms.EmailField()
class Meta:
model = User
fields = ['username', 'email']
class ProfileUpdateForm(forms.ModelForm):
class Meta:
model = Profile
fields = ['image']
| [
"sarangn.code@gmail.com"
] | sarangn.code@gmail.com |
08f3b5ba9fe21c57410e380fd96f897ce4adceef | 0eedd7193ee460e93806ddca3a2d7afe18bdc22b | /carlotproject/carlot/apps.py | 50c910065e3c1f0677ce8c0001085008e2be2cd0 | [] | no_license | shashankpatibandla/Carlotsprint1project | 6ffe4a3b6bea0b3a9dbe081294394167cdcc2b20 | 4f5190544bec972f9d0a94cd26cf6fed558cf549 | refs/heads/master | 2020-04-03T23:49:21.949031 | 2018-10-31T22:35:08 | 2018-10-31T22:35:08 | 155,631,822 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 86 | py | from django.apps import AppConfig
class CarlotConfig(AppConfig):
name = 'carlot'
| [
"spatibandla@unomaha.edu"
] | spatibandla@unomaha.edu |
884b47d8925a554b76d35fe01d1cb5cb9d8b90b6 | c92734057a4735ec2754c4b25cd958a2328657b2 | /social_site/forum/views.py | 542371dfa5414e89b60f0d31872aa6dcfcd6652c | [
"MIT"
] | permissive | arol-varesi/social_site_project | 207d2f2fe63fa65ff3dde6b32288279eeeb8dfcc | 427269815a89875d21a22a688b491878015c7199 | refs/heads/master | 2021-10-13T00:37:52.445144 | 2021-10-02T19:19:13 | 2021-10-02T19:19:13 | 148,545,893 | 0 | 1 | MIT | 2021-10-03T20:39:39 | 2018-09-12T21:46:00 | JavaScript | UTF-8 | Python | false | false | 3,743 | py | from django.contrib.auth.decorators import login_required
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
from django.http import HttpResponseRedirect, HttpResponseBadRequest
from django.shortcuts import render, get_object_or_404
from django.views.generic.edit import CreateView, DeleteView
from django.urls import reverse
from .forms import DiscussioneModelForm, PostModelForm
from .models import Discussione, Post, Sezione
from .mixins import StaffMixin
# Create your views here.
class CreaSezione(StaffMixin, CreateView):
model = Sezione
fields = "__all__"
template_name = "forum/crea_sezione.html"
success_url = "/"
def visualizzaSezione(request, pk):
sezione = get_object_or_404(Sezione, pk=pk)
discussioni_sezione = Discussione.objects.filter(sezione_di_appartenenza=sezione).order_by("-data_creazione")
context = { "sezione": sezione , "discussioni": discussioni_sezione}
return render(request, "forum/singola_sezione.html", context)
@login_required
def creaDiscussione(request, pk):
sezione = get_object_or_404(Sezione, pk=pk)
if request.method == "POST":
form = DiscussioneModelForm(request.POST)
if form.is_valid:
discussione = form.save(commit=False)
discussione.sezione_di_appartenenza = sezione
discussione.autore_discussione = request.user
discussione.save()
primo_post = Post.objects.create(
discussione = discussione,
autore_post = request.user,
contenuto = form.cleaned_data["contenuto"]
)
return HttpResponseRedirect(discussione.get_absolute_url())
else:
form = DiscussioneModelForm()
context = {"form": form, "sezione": sezione}
return render(request, "forum/crea_discussione.html", context)
def visualizzaDiscussione(request, pk):
discussione = get_object_or_404(Discussione, pk=pk)
posts_discussione = Post.objects.filter(discussione=discussione)
# aggiungiamo la gestione di paginazione dei risultati
paginator = Paginator(posts_discussione, 5)
page = request.GET.get("pagina")
posts_page = paginator.get_page(page)
form_risposta = PostModelForm
context = {"discussione": discussione,
"lista_posts": posts_page,
"form_risposta": form_risposta }
return render(request, "forum/singola_discussione.html", context)
@login_required
def aggiungiRisposta(request, pk):
discussione = get_object_or_404(Discussione, pk=pk)
if request.method == "POST":
form = PostModelForm(request.POST)
if form.is_valid:
form.save(commit=False)
form.instance.discussione = discussione
form.instance.autore_post = request.user
form.save()
url_discussione = reverse("discussione_view", kwargs={"pk": pk})
# appena inserito un messaggio di risposta si viene mandati all'ultima pagina
# dei messaggi per poter vedere il proprio messaggio
pagine_in_discussione = discussione.get_n_pages()
if pagine_in_discussione > 1 :
return HttpResponseRedirect(url_discussione + "?pagina=" + str(pagine_in_discussione))
else :
return HttpResponseRedirect(url_discussione)
else:
return HttpResponseBadRequest()
class CancellaPost(DeleteView):
""" utilizza in automatico il template : post_confirm_delete.html """
model = Post
success_url = "/"
# Filtra il quesryset in modo che contenga solo post dell'autore_post
def get_queryset(self):
queryset = super().get_queryset()
return queryset.filter(autore_post_id=self.request.user.id)
| [
"alv67.web@gmail.com"
] | alv67.web@gmail.com |
d7043a83bf47e5a0fc3d1216e5b5cab408f81ede | 11a246743073e9d2cb550f9144f59b95afebf195 | /advent/2017/day8.py | 6b9e3586e8658bcf41dbd5263b00183231315b58 | [] | no_license | ankitpriyarup/online-judge | b5b779c26439369cedc05c045af5511cbc3c980f | 8a00ec141142c129bfa13a68dbf704091eae9588 | refs/heads/master | 2020-09-05T02:46:56.377213 | 2019-10-27T20:12:25 | 2019-10-27T20:12:25 | 219,959,932 | 0 | 1 | null | 2019-11-06T09:30:58 | 2019-11-06T09:30:57 | null | UTF-8 | Python | false | false | 574 | py | from collections import *
import itertools
import random
import sys
def main():
d = defaultdict(int)
ans = -19
for line in sys.stdin:
words = line.strip().split()
d_reg = words[0]
sgn = 1 if words[1] == 'inc' else -1
amt = int(words[2])
reg = words[4]
e = words[5]
amt2 = int(words[6])
val = d[reg]
if eval(str(val) + ' ' + e + ' ' + str(amt2)):
d[d_reg] += sgn * amt
# ans = max(ans, (max(v for k, v in d.items())))
print(max(v for k, v in d.items()))
main()
| [
"arnavsastry@gmail.com"
] | arnavsastry@gmail.com |
ef5631e014a978f3699b26c20792af4d65ded2c5 | c6c002d37878c78f9199e30a6d0c2127257552e0 | /ctrls/Goal6_8/G6_8Pos7_1Ori2.py | ffd26bb34a11c4d3f06839ccabb29ad14464f64e | [] | no_license | carrilloec12/FireUAVs | 900a79810a5d610dc467fe82fa276bb14b7ffe9d | 019f12a947fa4d5bcc99d20ccb85925160430370 | refs/heads/master | 2020-03-21T08:03:10.478162 | 2018-06-22T15:09:50 | 2018-06-22T15:09:50 | 138,316,479 | 0 | 0 | null | 2018-06-22T15:06:54 | 2018-06-22T15:06:54 | null | UTF-8 | Python | false | false | 24,090 | py | class TulipStrategy(object):
"""Mealy transducer.
Internal states are integers, the current state
is stored in the attribute "state".
To take a transition, call method "move".
The names of input variables are stored in the
attribute "input_vars".
Automatically generated by tulip.dumpsmach on 2018-06-21 17:12:48 UTC
To learn more about TuLiP, visit http://tulip-control.org
"""
def __init__(self):
self.state = 17
self.input_vars = ['Fire', 'StopSignal']
def move(self, Fire, StopSignal):
"""Given inputs, take move and return outputs.
@rtype: dict
@return: dictionary with keys of the output variable names:
['sys_actions', 'loc', 'Base', 'GoalPos']
"""
output = dict()
if self.state == 0:
if (Fire == False) and (StopSignal == False):
self.state = 1
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 2
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 3
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == True):
self.state = 4
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 1:
if (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == False):
self.state = 5
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 2:
if (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == False):
self.state = 5
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 3:
if (Fire == True) and (StopSignal == True):
self.state = 16
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == False) and (StopSignal == False):
self.state = 13
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == True) and (StopSignal == False):
self.state = 14
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == False) and (StopSignal == True):
self.state = 15
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
else:
self._error(Fire, StopSignal)
elif self.state == 4:
if (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == False):
self.state = 5
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 5:
if (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == False):
self.state = 5
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 6:
if (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == False):
self.state = 5
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 7:
if (Fire == False) and (StopSignal == False):
self.state = 9
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == True) and (StopSignal == False):
self.state = 10
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == False) and (StopSignal == True):
self.state = 11
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == True) and (StopSignal == True):
self.state = 12
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
else:
self._error(Fire, StopSignal)
elif self.state == 8:
if (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == False):
self.state = 5
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 9:
if (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == False):
self.state = 5
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 10:
if (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == False):
self.state = 5
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 11:
if (Fire == False) and (StopSignal == False):
self.state = 9
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == True) and (StopSignal == False):
self.state = 10
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == False) and (StopSignal == True):
self.state = 11
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == True) and (StopSignal == True):
self.state = 12
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
else:
self._error(Fire, StopSignal)
elif self.state == 12:
if (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == False):
self.state = 5
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 13:
if (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == False):
self.state = 5
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 14:
if (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == False):
self.state = 5
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 15:
if (Fire == True) and (StopSignal == True):
self.state = 16
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == False) and (StopSignal == False):
self.state = 13
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == True) and (StopSignal == False):
self.state = 14
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == False) and (StopSignal == True):
self.state = 15
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
else:
self._error(Fire, StopSignal)
elif self.state == 16:
if (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == False):
self.state = 5
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
else:
self._error(Fire, StopSignal)
elif self.state == 17:
if (Fire == False) and (StopSignal == False):
self.state = 0
output["loc"] = 'Pos7_1Ori2'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 2
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 3
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == True):
self.state = 4
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 6
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == False) and (StopSignal == True):
self.state = 7
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == True):
self.state = 8
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Go'
elif (Fire == True) and (StopSignal == False):
self.state = 10
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == False) and (StopSignal == True):
self.state = 11
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == True) and (StopSignal == True):
self.state = 12
output["loc"] = 'Pos7_3Ori4'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == True) and (StopSignal == False):
self.state = 14
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == False) and (StopSignal == True):
self.state = 15
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
elif (Fire == True) and (StopSignal == True):
self.state = 16
output["loc"] = 'Pos8_2Ori1'
output["Base"] = False
output["GoalPos"] = False
output["sys_actions"] = 'Stop'
else:
self._error(Fire, StopSignal)
else:
raise Exception("Unrecognized internal state: " + str(self.state))
return output
def _error(self, Fire, StopSignal):
raise ValueError("Unrecognized input: " + (
"Fire = {Fire}; "
"StopSignal = {StopSignal}; ").format(
Fire=Fire,
StopSignal=StopSignal))
| [
"jshaffe9@terpmail.umd.edu"
] | jshaffe9@terpmail.umd.edu |
ac0f764daad78adf59a5a4d76ef3847794467db5 | a86dd51331fe333d2ad5ad6e88cec8e2993b1b56 | /nodeconfeu_watch/convert/__init__.py | 63c2729139fbef6bd859bc44be1c6c337840f758 | [
"Apache-2.0"
] | permissive | paulcockrell/nodeconfeu-gesture-models | 792c5ae6ce0153964c05372ccf14d579922c5976 | db645fa914bdc634d5888d40b2d5d75262506ccd | refs/heads/master | 2022-08-28T21:10:17.452641 | 2020-05-15T15:47:30 | 2020-05-15T15:47:30 | 264,165,155 | 0 | 0 | NOASSERTION | 2020-05-15T10:29:57 | 2020-05-15T10:29:56 | null | UTF-8 | Python | false | false | 40 | py |
from .export_tflite import ExportModel
| [
"amwebdk@gmail.com"
] | amwebdk@gmail.com |
c4be8136390f4e7e426d7e243900e46f94dbf093 | d12ef690860a96681e182b3004508f884bb76a3a | /Capitol carcteritzar nodes/Caracteritzacio sensors Temp/boot.py | d73fdcc07d28d6f44ce8aaa7673ba4f3260388f2 | [] | no_license | mponsnieto/TFM_LinealLoRa | 82e8d526802e033bf1baed0437fabfccf5a133c4 | 3b6ea27d28795bf7048f277651d1a4d97ed3ecc2 | refs/heads/master | 2022-12-27T16:21:38.275852 | 2020-10-02T09:19:14 | 2020-10-02T09:19:14 | 215,236,975 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 950 | py | import time
from machine import Pin, I2C
import pycom
import machine
from ustruct import unpack as unp
import math
import Camera as cam
import SensorHumT as sensH
import MCP9808 as adafruit_mcp9808
from bmp085 import BMP085
import HumedadSuelo as HS
import Comunication as com
import QAire as QA
from network import LoRa
import socket
import ubinascii
import ustruct
from crypto import AES
import crypto
i2c = I2C()
sensorQAire=QA.QAire('P20','P21')
sensorHSol=HS.HumitatSol('P19')
SensorHT=sensH.SensorHumT()
mcp = adafruit_mcp9808.MCP9808(i2c)
cam = cam.Camera(i2c)
bmp = BMP085(i2c)
com=com.Comunication()
bmp.oversample=2
bmp.sealevel=1013.25
id=ubinascii.hexlify(machine.unique_id()).decode('utf-8') #'3c71bf8775d4'
print("device id: ",id)
id_aux=ustruct.pack('>Q',int(id,16)) #long long: 8 bytes
## Initialize time
rtc = machine.RTC()
#(year, month, day[, hour[, minute[, second[, microsecond[, tzinfo]]]]])
rtc.init((2019, 10, 16, 13, 32))
| [
"48806151+mponsnieto@users.noreply.github.com"
] | 48806151+mponsnieto@users.noreply.github.com |
d1e1ea3ca62fa8c7eee1ea56bcf21143db9db802 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03962/s618919847.py | 7c3073e9045ef040a154ec5d8acb94554d03edf5 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 514 | py | import sys
import math
from functools import reduce
import bisect
def getN():
return int(input())
def getNM():
return map(int, input().split())
def getList():
return list(map(int, input().split()))
def input():
return sys.stdin.readline().rstrip()
# input = sys.stdin.buffer.readline
def index(a, x):
i = bisect.bisect_left(a, x)
if i != len(a) and a[i] == x:
return i
return False
#############
# MAIN CODE #
#############
a, b, c = getNM()
print(len({a, b, c}))
| [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
f2b5ff460e1f890c8bb67ed8e9b8c30bb31b64c3 | 2bd7278c75707c6656201b1a036ed39faab51d84 | /102 labs/Week10-depth_range.py | b0f0a2d4189becdfb5643fd6ee05ba0745c27c69 | [] | no_license | madnight12/csci-101-102-labs | fe65d37641d7080f62c7d8085fe08c1c7f55402f | 4598bc051415ff0bac442ff9f329095767570790 | refs/heads/main | 2023-04-23T15:49:01.830916 | 2021-04-27T05:38:24 | 2021-04-27T05:38:24 | 361,874,303 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 689 | py | # Madeleine Nightengale-Luhan
# CSCI 102 - Section A
# Week 10 Lab
# References: No One
# Time: 75 minutes
import csv
file = open('formations.csv', 'r')
reader = csv.reader(file, delimiter= ',')
with open('formations_parsed.csv', 'w') as csv_file2:
writer = csv.writer(csv_file2)
head_list = ['Depth', 'Start Depth', 'End Depth', 'Average Depth', 'Formation']
writer.writerow(head_list)
for var in reader:
depth = var[0]
f = var[1]
s = depth.split('-')
start = s[0]
end = s[-1]
average = (float(end) + float(start)) / 2
average = round(average, 1)
writer.writerow([depth, s, end, average, f])
| [
"82845063+madnight12@users.noreply.github.com"
] | 82845063+madnight12@users.noreply.github.com |
0db12e6c770742bb8e40005583ed870d968e58bc | f95a07c17de3f5e33ba5ac059525d0c78dc63a6e | /apps/inicio/migrations/0001_initial.py | ed23b1871a1435cf62fe5c6240d0fba5069e4e03 | [] | no_license | Marko-lks/practica18 | a9c277372f2bcc51813864d63d0aafbe2b0b039b | 32f3fa7587d413e13db7364255e256575b5dcbc7 | refs/heads/master | 2020-06-05T17:40:23.916070 | 2015-04-07T17:20:22 | 2015-04-07T17:20:22 | 33,519,137 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 728 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='alumno',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('nombres', models.CharField(max_length=300)),
('apellp', models.CharField(max_length=50)),
('apellm', models.CharField(max_length=50)),
('edad', models.IntegerField(default=0)),
('carrera', models.CharField(max_length=100)),
],
),
]
| [
"marko142221@gmail.com"
] | marko142221@gmail.com |
c41471d7211c7cfc328fcf0c8db053441c203f99 | 17cb5c1ab291f43622b29fbe2c263a0891c02140 | /py_fluent/leetCode/234.py | a9a75d059a39ad4dd9bd772a95195b02c49af45b | [] | no_license | RownH/MyPy | 97f0d89cd7d9e16497130557685dbd0217f8cf28 | 50542d832096420f0a2661fa8af26dc216c08636 | refs/heads/master | 2020-06-20T16:53:12.547836 | 2020-05-23T16:03:52 | 2020-05-23T16:03:52 | 197,184,018 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,293 | py | '''
请判断一个链表是否为回文链表。
示例 1:
输入: 1->2
输出: false
示例 2:
输入: 1->2->2->1
输出: true
方法:快慢指针确定中间值
后面指针逆转
'''
# Definition for singly-linked list.
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
class Solution(object):
def isPalindrome(self, head):
"""
:type head: ListNode
:rtype: bool
"""
if head is None:
return True;
slow=head.next;
if head.next is None:
return True;
quick=head.next.next;
while quick is not None and quick.next is not None:
quick=quick.next.next;
slow=slow.next;
pre=None;
next=None;
while head!=slow:
next=head.next;
head.next=pre;
pre=head;
head=next;
if quick is not None:
slow=slow.next;
while pre is not None:
if pre.val !=slow.val:
return False;
else:
pre=pre.next;
slow=slow.next;
return True;
head=ListNode(1);
secode=ListNode(2);
head.next=secode;
secode.next=None;
c=Solution();
print(c.isPalindrome(head)); | [
"799698579@qq.com"
] | 799698579@qq.com |
5d5231457c9981f727e1dacf2bcb8006413b98ee | c92fe7e2898c10001928bf8c3dc07dc1587b6575 | /CO2/8_findlongestword.py | d6062b272dae7cf3238f38917ac276c06d75a956 | [] | no_license | NithinNitz12/ProgrammingLab-Python | 1b2a59961d99a10ea3d4ac9f073b68ceff1bc5ce | 17c29e125821f20bc0e58986592e57237dbee657 | refs/heads/main | 2023-03-22T18:22:08.381848 | 2021-03-18T11:58:50 | 2021-03-18T11:58:50 | 315,343,187 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 267 | py | num=int(input("enter number of words to be stored : "))
longest = 0
for i in range(num):
word = input("enter a word : ")
length = len(word)
if(length>longest):
longest=length
print("Longest word is : "+str(longest)+" letters long.")
| [
"nithinraj10@hotmail.com"
] | nithinraj10@hotmail.com |
c81711a0721f4c0b3af10c8d370c5eca1fb7fbf0 | b6c880fd23a3ed309fd4e70ad13045138cf96d6c | /WhatsYourName.py | 8a1b99c005659cd46d0f237f9fe27e6606628af6 | [] | no_license | H-Madhav/pythonCode-HackerRank | fa560efde6c69eb17883efafade47b55a0569139 | 0ca9c2a051cf15ce1f011b82d9e0cac315148aef | refs/heads/master | 2022-01-27T01:43:44.300941 | 2017-08-28T19:23:36 | 2017-08-28T19:23:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 79 | py | print "Hello %s %s! You just delved into python." % (raw_input(), raw_input())
| [
"noreply@github.com"
] | H-Madhav.noreply@github.com |
ab821f35148bb313f0dd2d439acdc21be3a9f6b0 | 94ac3bc86980264da76cdd4e0b6741cb92a13cba | /ex1a.py | 5199378c83317c0608a3241e318e88cbdcdf78b4 | [] | no_license | tank7575/Mycode | 56d0769a85c66e0833fc474a3d0677ef4171e175 | b5669db103151c1c0038daddd745f3910114c5e8 | refs/heads/master | 2020-04-18T20:18:43.326455 | 2019-02-24T20:18:09 | 2019-02-24T20:18:09 | 167,734,566 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 164 | py | name = input("Give me your name: ")
age = int(input("How old are you: "))
year = str((2019 - age)+ 100)
print(name + "will be 100 years old in the year " + year)
| [
"gtanke@gmail.com"
] | gtanke@gmail.com |
92275752bbea081287f13884cac8c5b556fa1fd2 | 5c58587ebfbf56192b3dc6ed6f43bc002c8e2cff | /payments/migrations/0026_auto_20180906_1023.py | bb3127132c77be7ffde946ce16ac96b8870c7008 | [] | no_license | hossamelneily/nexchange | fb9a812cfc72ac00b90cf64d6669a8129c2d2d4b | 6d69274cd3808989abe2f5276feb772d1f0fa8b4 | refs/heads/release | 2022-12-13T09:20:47.297943 | 2019-02-12T08:20:34 | 2019-02-12T08:20:34 | 210,064,740 | 1 | 2 | null | 2022-12-09T00:54:01 | 2019-09-21T23:19:34 | Python | UTF-8 | Python | false | false | 4,388 | py | # Generated by Django 2.0.7 on 2018-09-06 10:23
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0066_remove_transactionprice_type'),
('payments', '0025_auto_20180822_1537'),
]
operations = [
migrations.CreateModel(
name='Bank',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created_on', models.DateTimeField(auto_now_add=True)),
('modified_on', models.DateTimeField(auto_now=True)),
('name', models.CharField(blank=True, max_length=255, null=True)),
('website', models.URLField(blank=True, null=True)),
('phone', models.CharField(blank=True, max_length=50, null=True)),
('country', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='core.Country')),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='BankBin',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created_on', models.DateTimeField(auto_now_add=True)),
('modified_on', models.DateTimeField(auto_now=True)),
('bin', models.CharField(default=None, max_length=15, unique=True)),
('checked_external', models.BooleanField(default=False)),
('bank', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='payments.Bank')),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='CardCompany',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created_on', models.DateTimeField(auto_now_add=True)),
('modified_on', models.DateTimeField(auto_now=True)),
('name', models.CharField(blank=True, max_length=255, null=True)),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='CardLevel',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created_on', models.DateTimeField(auto_now_add=True)),
('modified_on', models.DateTimeField(auto_now=True)),
('name', models.CharField(blank=True, max_length=255, null=True)),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='CardType',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created_on', models.DateTimeField(auto_now_add=True)),
('modified_on', models.DateTimeField(auto_now=True)),
('name', models.CharField(blank=True, max_length=255, null=True)),
],
options={
'abstract': False,
},
),
migrations.AddField(
model_name='bankbin',
name='card_company',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='payments.CardCompany'),
),
migrations.AddField(
model_name='bankbin',
name='card_level',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='payments.CardLevel'),
),
migrations.AddField(
model_name='bankbin',
name='card_type',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='payments.CardType'),
),
migrations.AddField(
model_name='paymentpreference',
name='bank_bin',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='payments.BankBin'),
),
]
| [
"noreply@github.com"
] | hossamelneily.noreply@github.com |
c1c4ca481cc8eb43fa586007bb3b57bbb15de5b5 | 09c84ed0d83addb7c602ffe24b935b2b07b9c74f | /YOLOv4/tool/utils.py | 1cbabf86fddca04af99ad2621bbaccc96fe8f2a4 | [] | no_license | paul-pias/Object-Detection-and-Distance-Measurement | b8050ba1beac2d5e8524b6be6991e28c7faf1f27 | 98a42696c935b8691c7ba222e3d4777c679554d3 | refs/heads/master | 2023-07-09T10:29:51.001546 | 2023-06-25T19:42:40 | 2023-06-25T19:42:40 | 205,520,090 | 283 | 104 | null | 2023-06-25T19:42:41 | 2019-08-31T08:51:59 | Python | UTF-8 | Python | false | false | 6,968 | py | import sys
import os
import time
import math
import numpy as np
import itertools
import struct # get_image_size
import imghdr # get_image_size
import win32com.client as wincl #### Python's Text-to-speech (tts) engine for windows, multiprocessing
speak = wincl.Dispatch("SAPI.SpVoice") #### This initiates the tts engine
def sigmoid(x):
return 1.0 / (np.exp(-x) + 1.)
def softmax(x):
x = np.exp(x - np.expand_dims(np.max(x, axis=1), axis=1))
x = x / np.expand_dims(x.sum(axis=1), axis=1)
return x
def bbox_iou(box1, box2, x1y1x2y2=True):
# print('iou box1:', box1)
# print('iou box2:', box2)
if x1y1x2y2:
mx = min(box1[0], box2[0])
Mx = max(box1[2], box2[2])
my = min(box1[1], box2[1])
My = max(box1[3], box2[3])
w1 = box1[2] - box1[0]
h1 = box1[3] - box1[1]
w2 = box2[2] - box2[0]
h2 = box2[3] - box2[1]
else:
w1 = box1[2]
h1 = box1[3]
w2 = box2[2]
h2 = box2[3]
mx = min(box1[0], box2[0])
Mx = max(box1[0] + w1, box2[0] + w2)
my = min(box1[1], box2[1])
My = max(box1[1] + h1, box2[1] + h2)
uw = Mx - mx
uh = My - my
cw = w1 + w2 - uw
ch = h1 + h2 - uh
carea = 0
if cw <= 0 or ch <= 0:
return 0.0
area1 = w1 * h1
area2 = w2 * h2
carea = cw * ch
uarea = area1 + area2 - carea
return carea / uarea
def nms_cpu(boxes, confs, nms_thresh=0.5, min_mode=False):
# print(boxes.shape)
x1 = boxes[:, 0]
y1 = boxes[:, 1]
x2 = boxes[:, 0] + boxes[:, 2]
y2 = boxes[:, 1] + boxes[:, 3]
areas = (x2 - x1) * (y2 - y1)
order = confs.argsort()[::-1]
keep = []
while order.size > 0:
idx_self = order[0]
idx_other = order[1:]
keep.append(idx_self)
xx1 = np.maximum(x1[idx_self], x1[idx_other])
yy1 = np.maximum(y1[idx_self], y1[idx_other])
xx2 = np.minimum(x2[idx_self], x2[idx_other])
yy2 = np.minimum(y2[idx_self], y2[idx_other])
w = np.maximum(0.0, xx2 - xx1)
h = np.maximum(0.0, yy2 - yy1)
inter = w * h
if min_mode:
over = inter / np.minimum(areas[order[0]], areas[order[1:]])
else:
over = inter / (areas[order[0]] + areas[order[1:]] - inter)
inds = np.where(over <= nms_thresh)[0]
order = order[inds + 1]
return np.array(keep)
def plot_boxes_cv2(img, boxes, savename=None, class_names=None, color=None, colors = None):
import cv2
img = np.copy(img)
# colors = np.array([[1, 0, 1], [0, 0, 1], [0, 1, 1], [0, 1, 0], [1, 1, 0], [1, 0, 0]], dtype=np.float32)
colors = np.array(colors)
def get_color(c, x, max_val):
ratio = float(x) / max_val * 5
i = int(math.floor(ratio))
j = int(math.ceil(ratio))
ratio = ratio - i
r = (1 - ratio) * colors[i][c] + ratio * colors[j][c]
return int(r * 255)
width = img.shape[1]
height = img.shape[0]
# print("weight{} , height {}".format(width, height))
for i in range(len(boxes)):
box = boxes[i]
x1 = int((box[0] - box[2] / 2.0) * width)
y1 = int((box[1] - box[3] / 2.0) * height)
x2 = int((box[0] + box[2] / 2.0) * width)
y2 = int((box[1] + box[3] / 2.0) * height)
x,y,w,h = x1,y1,x2,y2
font_face = cv2.FONT_HERSHEY_DUPLEX
font_scale = 1.2
font_thickness = 1
text_pt = (box[0], box[1] - 3)
text_color = [255, 255, 255]
if color:
rgb = color
else:
rgb = (255, 0, 0)
if len(box) >= 7 and class_names:
cls_conf = box[5]
cls_id = box[6]
print('%s: %f' % (class_names[cls_id], cls_conf))
distance = (2 * 3.14 * 180) / (w+ h * 360) * 1000 + 3 ### Distance measuring in Inch
feedback = ("{}".format(class_names[cls_id])+ " " +"is"+" at {} ".format(round(distance))+"Inches")
# speak.Speak(feedback)
print(feedback)
text_str = '%s' % (class_names[cls_id])
text_w, text_h = cv2.getTextSize(text_str, font_face, font_scale, font_thickness)[0]
classes = len(class_names)
offset = cls_id * 123457 % classes
red = get_color(2, offset, classes)
green = get_color(1, offset, classes)
blue = get_color(0, offset, classes)
if color is None:
rgb = (red, green, blue)
cv2.putText(img, str("{:.2f} Inches".format(distance)), (text_w+x,y), cv2.FONT_HERSHEY_SIMPLEX, font_scale, rgb, font_thickness, cv2.LINE_AA)
img = cv2.putText(img, class_names[cls_id], (x1, y1), cv2.FONT_HERSHEY_SIMPLEX, 1.2, rgb, 1)
img = cv2.rectangle(img, (x1, y1), (x2, y2), rgb, 1)
return img
def read_truths(lab_path):
if not os.path.exists(lab_path):
return np.array([])
if os.path.getsize(lab_path):
truths = np.loadtxt(lab_path)
truths = truths.reshape(truths.size / 5, 5) # to avoid single truth problem
return truths
else:
return np.array([])
def post_processing(img, conf_thresh, nms_thresh, output):
# anchors = [12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401]
# num_anchors = 9
# anchor_masks = [[0, 1, 2], [3, 4, 5], [6, 7, 8]]
# strides = [8, 16, 32]
# anchor_step = len(anchors) // num_anchors
t1 = time.time()
if type(output).__name__ != 'ndarray':
output = output.cpu().detach().numpy()
# [batch, num, 4]
box_array = output[:, :, :4]
# [batch, num, num_classes]
confs = output[:, :, 4:]
# [batch, num, num_classes] --> [batch, num]
max_conf = np.max(confs, axis=2)
max_id = np.argmax(confs, axis=2)
t2 = time.time()
bboxes_batch = []
for i in range(box_array.shape[0]):
argwhere = max_conf[i] > conf_thresh
l_box_array = box_array[i, argwhere, :]
l_max_conf = max_conf[i, argwhere]
l_max_id = max_id[i, argwhere]
keep = nms_cpu(l_box_array, l_max_conf, nms_thresh)
bboxes = []
if (keep.size > 0):
l_box_array = l_box_array[keep, :]
l_max_conf = l_max_conf[keep]
l_max_id = l_max_id[keep]
for j in range(l_box_array.shape[0]):
bboxes.append([l_box_array[j, 0], l_box_array[j, 1], l_box_array[j, 2], l_box_array[j, 3], l_max_conf[j], l_max_conf[j], l_max_id[j]])
bboxes_batch.append(bboxes)
t3 = time.time()
# print('-----------------------------------')
# print(' max and argmax : %f' % (t2 - t1))
# print(' nms : %f' % (t3 - t2))
# print('Post processing total : %f' % (t3 - t1))
# print('-----------------------------------')
return bboxes_batch | [
"paul.pias@northsouth.edu"
] | paul.pias@northsouth.edu |
e958fa2dbb0ad377d57b00e4297bdcaca7286794 | d35d8f860e0d9edc3480f6ac9c83333472db3bc0 | /env/bin/django-admin | 8fe57c2369f8c70d1164ecf5ac043813e8099590 | [] | no_license | grewal25/shop-april30 | 29e76997f339ec97dfc8943416ed077964314f48 | 1243c58905578ce8b7cceb33f97cb476bd73c02e | refs/heads/master | 2022-12-15T00:41:34.646309 | 2019-07-26T18:55:27 | 2019-07-26T18:55:27 | 184,339,826 | 0 | 0 | null | 2022-12-08T05:55:45 | 2019-04-30T22:27:31 | JavaScript | UTF-8 | Python | false | false | 317 | #!/Users/saran/Desktop/Web_trade/july_26/shop-april30/env/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from django.core.management import execute_from_command_line
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(execute_from_command_line())
| [
"grewalele@gmail.com"
] | grewalele@gmail.com | |
549275e873f106430ed837c7a06752d2258c7bdc | 66a672f802a1d59efaffb9b11dc2f508ccd024e6 | /parse_LN_to_JSON_old.py | 76896c08c8d5f0e0acfb96e9d2a426415a0207d4 | [
"Apache-2.0"
] | permissive | dallascard/LN_tools | 3b7af1a6b064f5b7dc540a04d4fae1a0b2e8f805 | 66be00f1fd11517f7bbf2949cc70f9552f3af4f4 | refs/heads/master | 2021-01-12T16:02:17.130400 | 2019-10-26T00:05:00 | 2019-10-26T00:05:00 | 71,923,543 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,161 | py | """
parse_LN.py
Parse a single file or a directory of raw files from Lexis-Nexis,
which come as text files containing a block of news articles concatenated into one file.
Objective is to split articles into individual files and extract relevant
information
In general, the articles have:
a source (newspaper name)
a well-defined date
sometimes a title after the date
some possible top tags, including author (byline) and length
some paragraphs of text (usually)
many possible end tags (some of which include relvance percentages)
a copyright (usually)
Also, all tags will (usually) be in the form 'TAG: content'
Unfortunately, there is a lot that can go wrong, including missing sections,
broken lines, unusually formats, strangely converted characters,
and randomly copied text. We do the best we can.
"""
# import modules
from optparse import OptionParser
from os import path, makedirs
from json import dump
from unicodedata import normalize
import codecs
import re
import glob
# This function writes an individual article to a text file, unchanged
# Yes, it works purely on global variables...
def write_text_file():
if doc.has_key(u'CASE_ID'):
output_file_name = output_dir + '/' + prefix + str(doc[u'CASE_ID']) + '.txt'
output_file = codecs.open(output_file_name, mode='w', encoding='utf-8')
output_file.writelines(output_text)
output_file.close()
# This function writes a parsed version of an article as a JSON object
# It too relies on global variables...
def write_json_file():
# assume we have a dictionary named doc
# it should have a case_id
if doc.has_key(u'CASE_ID'):
# get the top tags, and put them in a dictionary
top = {}
for t in top_tags:
# split the tag into TAG and TEXT (at the colon)
index = t.find(':')
tag = t[:index]
text = t[index+1:]
# strip off whitespace
text = text.lstrip()
top[tag] = text
# store the top tags and anything else from the top section which didn't fit
top[u'TOP_MISC'] = top_misc
doc[u'TOP'] = top
# store the paragraphs of body text in BODY
doc[u'BODY'] = paragraphs
# get the bottom tags and put them in a dictionary, as with top tags
bottom = {}
for t in end_tags:
index = t.find(':')
tag = t[:index]
text = t[index+1:]
text = text.lstrip()
bottom[tag] = text
bottom[u'BOTTOM_MISC'] = end_misc
doc[u'BOTTOM'] = bottom
# output the overall dictionary as a json file
output_file_name = json_dir + '/' + prefix + str(doc[u'CASE_ID']) + '.json'
output_file = codecs.open(output_file_name, mode='w', encoding='utf-8')
dump(doc, output_file, ensure_ascii=False, indent=2)
output_file.close()
# Tags used at the top and bottom of L-N files
TOP_TAGS = [u'BYLINE:', u'DATELINE:', u'HIGHLIGHT:', u'LENGTH:', u'SECTION:', u'SOURCE:', u'E-mail:', ]
END_TAGS = [u'CATEGORY:', u'CHART:', u'CITY:', u'COMPANY:', u'CORRECTION-DATE:', u'COUNTRY:', u'CUTLINE:', u'DISTRIBUTION:', u'DOCUMENT-TYPE:', u'ENHANCEMENT:', u'GEOGRAPHIC:', u'GRAPHIC:', u'INDUSTRY:', u'JOURNAL-CODE:', u'LANGUAGE:', u'LOAD-DATE:', u'NOTES:', u'ORGANIZATION:', u'PERSON:', u'PHOTO:', u'PHOTOS:', u'PUBLICATION-TYPE:', u'SERIES:', u'STATE:', u'SUBJECT:', u'TICKER:', u'TYPE:', u'URL:']
MONTHS = {u'january':1, u'february':2, u'march':3, u'april':4, u'may':5, u'june':6, u'july':7, u'august':8, u'september':9, u'october':10, u'november':11, u'december':12}
# set up an options parser
usage = 'usage %prog [options] (must specify -f OR -d)'
parser = OptionParser(usage=usage)
parser.add_option('-f', help='read in FILE', metavar='FILE')
parser.add_option('-d', help='read in in ALL files in INDIR', metavar='INDIR')
parser.add_option('-o', help='output individual files to DIR', metavar='DIR', default='./temp/text/')
parser.add_option('-j', help='output individal xml files to JDIR', metavar='JDIR', default='./temp/json/')
parser.add_option('-p', help='prefix for output text files [default = %default]', metavar='PRE', default='prefx.0-')
parser.add_option("-w", action="store_true", dest="write_files", default=False,
help="Write individual .txt files [default = %default]")
(options, args) = parser.parse_args()
case_id = 0 # unique id for each article (doc)
total_expected_docs = 0 # total numbe of artcles we expect to get from all L-N files
total_docs_found = 0 # running count of listed numbers of docs
tag_counts = {} # counts of how many times we see each tag
first_tag_counts = {} # counts of how any times we see each tag as the first tag
# If the output directories do not exist, create them
output_dir = options.o
if not path.exists(output_dir):
makedirs(output_dir)
json_dir = options.j
if not path.exists(json_dir):
makedirs(json_dir)
# get the prefix to use when naming files
prefix = options.p
# get a list of files to parse, either a single file, or all files in a directory
files = []
input_file_name = options.f
if input_file_name == None:
input_dir = options.d
if path.exists(input_dir):
files = glob.glob(input_dir + '/*')
else:
files = [input_file_name]
print "Found", len(files), "files."
# sort the files and parse them one by one
files.sort()
for f in files:
# open the next file, and read it in
input_file_name = f
name_parts = input_file_name.split('/')
orig_file_name = name_parts[-1]
# open with utf-8-sig encoding to eat the unicode label
input_file = codecs.open(input_file_name, encoding='utf-8-sig')
input_text = input_file.read()
input_file.close()
# split the text into individual lines
lines = input_text.split('\r\n')
doc = {} # store the article we are working on as a dictionary
doc_count = 0 # count of how many articles we have found
doc_num = 0 # document number in the original L-N file
expected_docs = 0 # the number of articles we expect to find in this L-N file
# process each line, one at a time
for line in lines:
# first, normalize the unicode (to get rid of things like \xa0)
orig_line = line
line = normalize('NFKD', line)
# start off looking for new document (each of which is marked as below)
# also, store the numbers from this pattern as groups for use below
match = re.search(u'([0-9]+) of ([0-9]+) DOCUMENTS', line)
# if we find a new article
if match:
# first, save the article we are currently working on
if doc_num > 0:
if options.write_files:
# write the original file as a text file, unmodified
write_text_file()
# also write the (parsed) article as a json object
write_json_file()
# now move on to the new artcle
# check to see if the document numbering within the L-N file is consisent
# (i.e. the next document should be numbered one higher than the last)
if int(match.group(1)) != doc_num + 1:
print "Missed document after " + input_file_name + ' ' + str(doc_num)
# if this is the first article in the L-N file, get the expected number of docs
if expected_docs == 0:
expected_docs = int(match.group(2))
total_expected_docs += expected_docs
elif (expected_docs != int(match.group(2))):
print "Discrepant document counts after", input_file_name, str(doc_num-1)
# get the document number from the original L-N file
doc_num = int(match.group(1))
# assign a new, unique, case id
case_id += 1
# add one to the number of documents we've seen
doc_count += 1
# start a new document as a dictionary
doc = {}
# store what we know so far
doc[u'CASE_ID'] = case_id # unique identifier
doc[u'ORIG_FILE'] = orig_file_name # filename of the original L-N file
doc[u'ORIG_ID'] = doc_num # document number in the L-N file
current = u'' # current stores the block we are currently working on
output_text = [] # a list of lines to write to the text file
top_tags = [] # a list of top tags
paragraphs = [] # a list of body paragraphs
end_tags = [] # a list of end tags
top_misc = u'' # things we can't parse from the top of the article
end_misc = u'' # things we can't parse from the bottom of the article
have_length = False
have_section = False
# once we've started working on a document...
elif (doc_num > 0):
match = False
# check if thee's anything on this line
if (line != u''):
# if so, strip the whitespace and add the current line to our working line
temp = line.lstrip()
temp = temp.rstrip()
current += temp + ' '
# if not, process the line(s) we've been working on...
elif (current != u''):
current = current.rstrip()
# first check to see if this looks like a tag
tag_match = re.search(u'^([A-Z]+[-]?[A-Z]+:)', current)
if tag_match:
tag = tag_match.group(1)
# if we find a tag, see if it's a top tag
if (tag in TOP_TAGS) and (len(paragraphs) == 0):
if tag == u'LENGTH:':
if have_length == False:
top_tags.append(current)
have_length = True
match = True
elif tag == u'SECTION:':
if have_section == False:
top_tags.append(current)
have_section = True
match = True
else:
top_tags.append(current)
match = True
# then see if it's a bottom tag
elif (tag in END_TAGS) and ((len(paragraphs)>0) or have_section or have_length):
# deal with it as an end tag:
end_tags.append(current)
match = True
# if it's not a tag, but we already have end tags, continue with the end
if match == False and len(end_tags) > 0:
# deal with this as bottom matter
# pick up the copyright if it's there
pattern = re.search(u'^Copyright ', current)
if pattern:
if not doc.has_key(u'COPYRIGHT'):
doc[u'COPYRIGHT'] = current
# otherwise,
else:
# sometimes the end tags get split over multiple lines
# i.e., if this text contains '(#%)'
pattern = re.search(u'\([0-9]+%\)', current)
if pattern:
end_tags[-1] += ' ' + current
# or if the last tag was just a tag with no content
elif end_tags[-1] in END_TAGS:
end_tags[-1] += ' ' + current
# not foolproof... store the rest in misc
else:
end_misc += current + u' ** '
match = True
# then, check if it could be a date for the artcle
if match == False and not doc.has_key(u'DATE'):
date_match = re.search('^([a-zA-Z]*).?\s*(\d\d?).*\s*(\d\d\d\d).*', current)
month_yyyy_match = re.search('^([a-zA-Z]*).?\s*(\d\d\d\d).*', current)
if date_match:
month_name = date_match.group(1)
month_name = month_name.lower()
day = date_match.group(2)
year = date_match.group(3)
if MONTHS.has_key(month_name):
month = MONTHS[month_name]
doc[u'DATE'] = current
doc[u'MONTH'] = int(month)
doc[u'DAY'] = int(day)
doc[u'YEAR'] = int(year)
# also store the date in the format YYYYMMDD
fulldate = year + str(month).zfill(2) + day.zfill(2)
doc[u'FULLDATE'] = fulldate
match = True
# try an alternate date format
elif month_yyyy_match:
month_name = month_yyyy_match.group(1)
month_name = month_name.lower()
year = month_yyyy_match.group(2)
if MONTHS.has_key(month_name):
doc[u'DATE'] = current
month = MONTHS[month_name]
doc[u'MONTH'] = int(month)
doc[u'YEAR'] = int(year)
match = True
# if its not a tag or date, and we don't have end tags
if match == False:
# check if we have any top tags
if len(top_tags) == 0:
# if not, check if we have a date
if not doc.has_key(u'DATE'):
# if not, assume this is a part of the source
source = current.lower()
source = re.sub('^the', '', source, 1)
source = source.lstrip()
if doc.has_key(u'SOURCE'):
doc[u'SOURCE'] = doc[u'SOURCE'] + u'; ' + source
else:
doc[u'SOURCE'] = source
match = True
# if we do have top tags, assume this is a title
else:
# assuming we don't already have a title
if not doc.has_key(u'TITLE'):
doc[u'TITLE'] = current
match = True
# don't move onto the body until we at least one tag
if (match == False) and (have_length == False) and (have_section == False):
top_misc += current + u' ** '
match = True
# in all other cases, assume this is part of the body
if match == False:
# Try to deal with paragraphs that have been split over mutiple lines
# By default, assume we'll just append the current working line
# to the body
append = True
# if we have at least one paragraph
if len(paragraphs) > 0:
# Look at the end of the last paragraph and the start of
# this one to see if a line has been split.
# First, try to join hyperlinks, email addresses and
# hyphenated words that have been split
if re.search(u'[/@-]$', paragraphs[-1]):
if re.search(u'^[a-z]', current):
paragraphs[-1] = paragraphs[-1] + u'' + current
append = False
# Also search for the symbols at the start of the next line
elif re.search(u'^[/@]', current):
paragraphs[-1] = paragraphs[-1] + 'u' + current
append = False
# Finally, try to join sentences that have been split
# i.e. the last paagraph doesn't end with an end character
elif not re.search(u'[\.\"\'?!:_]$', paragraphs[-1]):
# and the next paragraph doesn't start with a start symbol.
if not re.search(u'^[A-Z"\'>*-\.\(0-9=\$%_]|(http)|(www)', current):
paragraphs[-1] = paragraphs[-1] + u' ' + current
append = False
# in all other cases, just add the input as a new paragraph
if (append == True):
paragraphs.append(current)
# start a new working line
current = u''
output_text.append(orig_line + u'\r\n')
total_docs_found += doc_count
# once we reach the end of the file, output the current document
# and then go to the next file
if doc_num > 0:
if options.write_files:
write_text_file()
write_json_file()
# print a summary for the L-N file
print 'Processed', orig_file_name + ': ', 'Expected:', expected_docs, ' Found:', doc_count
# and print a final summary of everything
print 'Total number of documents expected: ' + str(total_expected_docs)
print 'Total number of documents found: ' + str(total_docs_found)
| [
"dcard@andrew.cmu.edu"
] | dcard@andrew.cmu.edu |
c8253844306b003c358799d563b43b8caa9ec92c | 89b6bfbd4dfa81930d407bd9e7886f81dac8c73f | /SysLog.py | c855062d2e47dfdd3debbb6de5cd0e7668668617 | [] | no_license | amclaug7/SysLogEvaluation | 3e810e0d17f18846d6c4af542c0c5e3da1e04498 | f21e9692052ed38c396d961ab0ac3bc0df8f5e99 | refs/heads/master | 2020-06-06T01:23:02.258523 | 2019-06-18T19:26:01 | 2019-06-18T19:26:01 | 192,600,118 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 754 | py | #Andrew McLaughlin
#28Oct18
#SysLog
import re;
def readFile():
input = open("C:\\Users\student\Desktop\sysLog.txt", "r")
exeCount = illegalCount = guestCount = 0
exeTest = re.compile("exe")
illegalTest = re.compile("illegal")
guestTest = re.compile("guest")
for line in input:
if(exeTest.findall(line)):
exeCount += 1
print(line)
elif(illegalTest.findall(line)):
illegalCount += 1
print(line)
elif (guestTest.findall(line)):
guestCount += 1
print(line)
print("exe found " + str(exeCount))
print("illegal found " + str(illegalCount))
print("guest found " + str(guestCount))
readFile()
| [
"noreply@github.com"
] | amclaug7.noreply@github.com |
0e8bd7dffdbe4b37e4c4527a5e2b050f6f894bda | 63fc96c38ec0522bb0002b19344578e4b3630aa9 | /item_to_item_CF.py | 3f127246ca8dba576a6082fc21a99d6229fe59c9 | [] | no_license | yutthana/DataMining | 47ea5f6a09f33d0c9309129429e779a08d8b0f3e | ece88b8b987d5492b9aef2e034c87554116dcf1c | refs/heads/master | 2020-12-27T15:27:41.296914 | 2016-04-08T21:58:42 | 2016-04-08T21:58:42 | 55,811,570 | 0 | 0 | null | 2016-04-08T21:45:30 | 2016-04-08T21:45:30 | null | UTF-8 | Python | false | false | 1,484 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 05 12:05:43 2016
@author: Yutthana
"""
import pandas as pd
from pandas import *
from scipy import spatial
import numpy as np
#read data from csv
def readcsv(path):
return pd.read_csv(path, iterator=True, chunksize=10000, skip_blank_lines=True)
#normalize cosine distance item-item
tp = readcsv("instance_movie_80%.csv")
df = concat(tp, ignore_index=True)
#delete item which has less number of ratings than 500
df = df.groupby("asin").filter(lambda x: len(x) > 500)
#create utility matrix
table = df.pivot_table(values='overall', index=['reviewerID'], columns=['asin'])
#normalize data
table = table.apply(lambda x: (x - np.mean(x)))
#fill emptyspace with 0
table = table.fillna(value=0)
#create table to hold result
result = pd.DataFrame(index=table.columns,columns=table.columns)
#for each item
for i in range(0,len(result.columns)) :
#compare with another item
for j in range(0,len(result.columns)) :
#find cosine similarity of item1 and item2
result.ix[i,j] = 1-spatial.distance.cosine(table.ix[:,i],table.ix[:,j])
#table to hold the similarity of item
rank = pd.DataFrame(index=result.columns,columns=range(1,11))
#rank data based on cosine similarity
for i in range(0,len(result.columns)):
rank.ix[i,:10] = result.ix[0:,i].order(ascending=False)[:10].index
#write to file
rank.to_csv('instance_result_Normcosine_300.csv')
| [
"yut.mmm03@gmail.com"
] | yut.mmm03@gmail.com |
7b10bae824de4ead5ffbb387b689114066ec431d | 5d304c6ec0f01edee73e3b612f84307060c0da54 | /letter_combinations_of_a_phone_number.py | 089f3c0c2377b7e620e80a61fbd5b12517d716e8 | [] | no_license | xartisan/leetcode-solutions-in-python | cfa06b9e02f7ec0446cf6b71df4ea46caa359adc | 7e3929a4b5bd0344f93373979c9d1acc4ae192a7 | refs/heads/master | 2020-03-14T17:10:07.957089 | 2018-07-29T10:11:01 | 2018-07-29T10:11:01 | 131,713,447 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 499 | py | class Solution:
def letterCombinations(self, digits):
"""
:type digits: str
:rtype: List[str]
"""
keys = ["", "", "abc", "def", "ghi", "jkl", "mno", "pqrs", "tuv", "wxyz"]
rv = []
for d in digits:
d = int(d)
tmp = []
for c in keys[d]:
if rv:
tmp.extend(s + c for s in rv)
else:
tmp.append(c)
rv = tmp
return rv
| [
"codeartisan@outlook.com"
] | codeartisan@outlook.com |
d3f0f22a9f875992c367e7fce63ee8366b08f220 | 5254c3a7e94666264120f26c87734ad053c54541 | /Revision de Pares/Semana N°5/Caso 2/05-0-gin-fileparse.py-vir-2020-09-08_19.44.49.py | c1df151428fe518671cc730320bf9ea5a29de07f | [] | no_license | ccollado7/UNSAM---Python | 425eb29a2df8777e9f892b08cc250bce9b2b0b8c | f2d0e7b3f64efa8d03f9aa4707c90e992683672d | refs/heads/master | 2023-03-21T17:42:27.210599 | 2021-03-09T13:06:45 | 2021-03-09T13:06:45 | 286,613,172 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,352 | py | #fileparse.py
import csv
def parse_csv(nombre_archivo, select = None, types = None, has_headers=True):
'''
Parsea un archivo CSV en una lista de registros.
Se puede seleccionar sólo un subconjunto de las columnas, determinando el parámetro select, que debe ser una lista de nombres de las columnas a considerar.
'''
with open(nombre_archivo) as f:
filas = csv.reader(f)
if has_headers:
# Lee los encabezados del archivo
encabezados = next(filas)
if select:
# Si se indicó un selector de columnas,
# buscar los índices de las columnas especificadas.
# Y en ese caso achicar el conjunto de encabezados para diccionarios
indices = [encabezados.index(nombre_columna) for nombre_columna in select]
encabezados = select
else:
indices = []
registros = []
for fila in filas:
if not fila: # Saltear filas vacías
continue
# Filtrar la fila si se especificaron columnas
if indices:
if types:
fila = [tipo(fila[index]) for index,tipo in zip(indices,types)]
else:
fila = [fila[index] for index in indices]
# Armar el diccionario
registro = dict(zip(encabezados, fila))
registros.append(registro)
else:
registros = []
for fila in filas:
if not fila: # Saltear filas vacías
continue
if types:
fila = [tipo(elem) for tipo,elem in (zip(types, fila))]
# Agregar la tupla
registro = tuple(fila)
registros.append(registro)
return registros
#%%
camion_1 = parse_csv('camion.csv', types=[str, int, float])
print(camion_1)
#%%
camion_2 = parse_csv('camion.csv', types=[str, str, str])
print(camion_2)
#%%
camion_3 = parse_csv('camion.csv', select = ['nombre', 'cajones'], types=[str, int])
print(camion_3)
#%%
camion_4 = parse_csv('camion.csv', types=[str, str, float])
print(camion_4)
#%%
camion_5 = parse_csv('camion.csv', types=[str, int, str])
print(camion_5)
| [
"46108725+ccollado7@users.noreply.github.com"
] | 46108725+ccollado7@users.noreply.github.com |
7cd784758941fdaddfc4f4813a364aa657bacadf | 7f108151d95b49bdcaec90e7b1978859f603d962 | /source/map/map_image.py | c1a0ef2173b42c8f51487752622362033c7b2077 | [] | no_license | thydungeonsean/Shinar | 205b20bf47ace29dde14ef2822449ee31ceeeca0 | 5bbb42aafe4ea1f54a69649a242241c3ca96926c | refs/heads/master | 2021-04-29T10:08:17.300934 | 2017-04-04T12:06:48 | 2017-04-04T12:06:48 | 77,847,893 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,839 | py | from ..constants import *
import pygame
import os
from ..images.image import Image
class MapImageGenerator(object):
instance = None
@classmethod
def get_instance(cls):
if cls.instance is not None:
return cls.instance
else:
cls.instance = cls()
return cls.instance
"""
The image generator will scan through a map,
and compile dither tile / wall tile combos
as needed. It will store them in dither_patterns
or wall patterns to be reused.
dither_sets will hold recolored images based on the
patterns as needed.
"""
def __init__(self):
self.tile_images = self.init_tile_images()
self.dither_gen = DitherImageGenerator()
self.dither_patterns = {}
# self.wall_patterns = {}
self.dither_sets = {
1: {},
2: {},
3: {}
}
# init methods
def init_tile_images(self):
tile_images = {
0: MapTileImage('desert'),
1: MapTileImage('plain'),
2: MapTileImage('fertile'),
3: MapTileImage('river')
}
return tile_images
def generate_image(self, map):
mw = map.w * TILEW
mh = map.h * TILEH
map_image = pygame.Surface((mw, mh))
for y in range(map.h):
for x in range(map.w):
tile_id = map.map[x][y]
if tile_id not in self.tile_images.keys():
tile_id = 0
img = self.tile_images[tile_id]
img.position((x, y))
img.draw(map_image)
dithered_edge_maps = self.get_dithered_edges(map)
for k in (1, 2, 3):
edge_map = dithered_edge_maps[k]
for x, y in edge_map.keys():
img = self.get_dither_image(k, edge_map[(x, y)])
img.position((x, y))
img.draw(map_image)
return map_image
def get_dithered_edges(self, map):
dithered_ids = (1, 2, 3)
dither_points = {
1: [],
2: [],
3: []
}
for y in range(map.h):
for x in range(map.w):
value = map.map[x][y]
if value in dithered_ids:
dither_points[value].append((x, y))
plain_dithered_edge = self.get_dithered_edge(map, dither_points[1], 0)
fertile_dithered_edge = self.get_dithered_edge(map, dither_points[2], 1)
river_dithered_edge = self.get_dithered_edge(map, dither_points[3], 2)
#river_dithered_edge = self.get_dithered_edge(map, dither_points[2], 3)
return {1: plain_dithered_edge,
2: fertile_dithered_edge,
3: river_dithered_edge}
def get_dithered_edge(self, map, points, cover_terrain):
dither = {}
visited = set()
for x, y in points:
adj = map.get_adj((x, y), diag=True)
for ax, ay in adj:
if map.map[ax][ay] == cover_terrain and (ax, ay) not in visited:
visited.add((ax, ay))
dither[(ax, ay)] = self.get_dither_value(map, map.map[x][y], (ax, ay))
return dither
def get_dither_value(self, map, cover_type, (x, y)):
edge_coords = ((x-1, y-1), (x, y-1), (x+1, y-1), (x+1, y),
(x+1, y+1), (x, y+1), (x-1, y+1), (x-1, y))
i = 0
value = set()
for ex, ey in edge_coords:
if map.is_on_map((ex, ey)) and map.map[ex][ey] == cover_type:
value.add(i)
i += 1
value = list(value)
value.sort()
return tuple(value)
def get_dither_image(self, terrain, dither_value):
dither_set = self.dither_sets[terrain]
if dither_value in dither_set.keys():
return dither_set[dither_value]
if dither_value in self.dither_patterns.keys():
img = self.dither_gen.recolor_pattern(self.dither_patterns[dither_value], terrain)
dither_set[dither_value] = img
return img
else:
pattern = self.dither_gen.generate_pattern(dither_value)
self.dither_patterns[dither_value] = pattern
img = self.dither_gen.recolor_pattern(pattern, terrain)
dither_set[dither_value] = img
return img
class DitherImageGenerator(object):
color_key = {
1: PLAIN_BROWN,
2: FERTILE_GREEN,
3: RIVER_BLUE
#3: PLAIN_BROWN
# 1: RED, 2: RED, 3: RED
}
dither_key = {
'a': (0, 0),
'b': (TILEW, 0),
'c': (TILEW*2, 0),
'd': (0, TILEH),
'e': (TILEW, TILEH),
'f': (TILEW*2, TILEH),
'g': (0, TILEH*2),
'h': (TILEW, TILEH*2)
}
def __init__(self):
self.dither_tileset = TileImage('dither', colorkey=WHITE)
def generate_pattern(self, d_value):
d_img = TileImage(colorkey=WHITE)
image_instructions = self.parse_dither_value(d_value)
for d_id, pos in image_instructions:
self.add_dither_segment(d_img, d_id, pos)
return d_img
def recolor_pattern(self, pattern, terrain):
img = TileImage(colorkey=WHITE)
pattern.draw(img)
color = DitherImageGenerator.color_key[terrain]
img.recolor(BLACK, color)
return img
def parse_dither_value(self, value):
parsed = set()
card = {1, 3, 5, 7}
diag = {0, 2, 4, 6}
cardinals = []
for e in value:
if e in card:
cardinals.append(e)
if len(cardinals) < 3:
for e in value: # checking for outer diagonal corners
if e in diag and self.corner_is_isolate(value, e):
parsed.add(('b', e))
elif len(cardinals) == 4:
parsed = [('d', 1), ('d', 3), ('d', 5), ('d', 7),
('c', 0), ('c', 2), ('c', 4), ('c', 6)]
return parsed
for e in cardinals: # check for solid edges
if self.edge_is_isolate(value, e):
parsed.add(('a', e))
else:
parsed.add(('d', e))
if self.edge_has_one_adj(value, e, 2):
end, connector = self.get_corner_values(value, e)
parsed.add(('e', end))
parsed.add(('c', connector))
else:
adj = self.get_adj_edges(e, 1)
for ae in adj:
parsed.add(('c', ae))
return list(parsed)
def get_adj_edges(self, e, step):
raw_adj = (e + step, e - step)
adj = []
for ae in raw_adj:
if ae < 0:
adj.append(ae + 8)
elif ae > 7:
adj.append(ae - 8)
else:
adj.append(ae)
return adj
def get_corner_values(self, value, e):
corners = self.get_adj_edges(e, 1)
end = None
connector = None
for corner in corners:
if self.edge_has_one_adj(value, corner, 1):
end = corner
else:
connector = corner
return end, connector
def corner_is_isolate(self, value, e):
adj = self.get_adj_edges(e, 1)
for ae in adj:
if ae in value:
return False
return True
def edge_is_isolate(self, value, e):
adj = self.get_adj_edges(e, 2)
for ae in adj:
if ae in value:
return False
return True
def edge_has_one_adj(self, value, e, step):
adj = self.get_adj_edges(e, step)
num = 0
for ae in adj:
if ae in value:
num += 1
if num < 2:
return True
else:
return False
def add_dither_segment(self, d_img, d_id, pos):
if d_id in ('a', 'b', 'c', 'd'):
self.add_rotated_img(d_img, d_id, pos)
else: # d_id is 'e'
if pos == 0:
self.add_rotated_img(d_img, 'e', 0)
elif pos == 2:
self.add_rotated_img(d_img, 'f', 0)
elif pos == 4:
self.add_rotated_img(d_img, 'g', 0)
elif pos == 6:
self.add_rotated_img(d_img, 'h', 0)
def add_rotated_img(self, d_img, d_id, pos):
ang_dict = {0: 0, 1: 0, 2: -90, 3: -90, 4: 180, 5: 180, 6: 90, 7: 90}
img = pygame.Surface((TILEW, TILEH))
img.fill(WHITE)
img.set_colorkey(WHITE)
x, y = DitherImageGenerator.dither_key[d_id]
img.blit(self.dither_tileset.image, (0, 0), (x, y, TILEW, TILEH))
img = pygame.transform.rotate(img, ang_dict[pos])
d_img.blit(img, img.get_rect())
class TileImage(Image):
def __init__(self, imagename=None, colorkey=None):
Image.__init__(self, imagename, colorkey)
def position(self, (x, y)):
self.rect.topleft = ((x * TILEW) + self.x_offset, (y * TILEH) + self.y_offset)
class MapTileImage(TileImage):
def __init__(self, imagename=None):
Image.__init__(self, imagename)
| [
"marzecsean@gmail.com"
] | marzecsean@gmail.com |
d166efba1b856be50405a92ae83a975ace2eba5c | a20d1bade0ada81344519467d185c117579c48c6 | /sourceCode/scrapyRestaurantes/limpiezaDataSetRestaurantesCom.py | 77298bf120930d7441e6a2e9465a6c2638436af5 | [] | no_license | KevinOrtiz/An-lisis-Exploratorio-de-datos | 04dc8d0c990221526fedfc933789c5f6f487d041 | c361a58bc254ec93333ca208fda2825bcc56bb34 | refs/heads/master | 2020-04-06T07:11:25.029012 | 2016-09-08T06:23:24 | 2016-09-08T06:23:24 | 61,229,034 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,566 | py | import json
import csv
import string
def getDataJson():
with open('salidaRestaurantePrueba.json') as file:
data =json.load(file)
csvRestaurantes = open('restaurantes_col.csv','w')
head_restaurantes = 'name,longitude,latitude,rating,NoReviews,tags,ciudad_usuario,Pais,Nvotos_restaurantes,Nvotos_utiles,fecha_opinion,year,\n'
csvRestaurantes.write(head_restaurantes)
Nvotos_restaurantes = 0
Nvotos_utiles = 0
for element in data:
location = element['posicion']
lng = location[0]
lat = location[1]
if not (lng is None and lat is None):
name = element['tituloLugar']
name = string.replace(name,',','')
rating = element['estrellas']
reviews = element['itemsReviews']
NoReviews = len(reviews)
tags = element['tags']
line_tags = ""
for y,x in enumerate(reviews):
if not(x['numero_restaurant_review'] == '' or x['votos_utiles'] == '' or x['origen_usuario'] == '' or x['date_review'] == ''):
Nvotos_restaurantes = x['numero_restaurant_review']
Nvotos_utiles = x['votos_utiles']
ciudad_usuario = x['origen_usuario']
fecha_review = x['date_review']
for tag in tags:
line_tags = line_tags + '$' + tag
for j,k,l,m in map(None,fecha_review,ciudad_usuario,Nvotos_utiles,Nvotos_restaurantes):
print j,k,l,m
line = str(name) + ',' + str(lng) + ',' + str(lat) + ',' + str(rating) + ',' + str(NoReviews) + ',' + str(line_tags) + ',' + str(k) + ',' + str(m) + ',' + str(l) + ',' + str(j)+'\n'
if 1:
csvRestaurantes.write(line)
if __name__ == '__main__':
getDataJson()
| [
"kevanort@espol.edu.ec"
] | kevanort@espol.edu.ec |
f148103dc0836fefd8dc31e0b55522bfe42817c1 | 5b183ee0d3ed736174d7c2cc6324c4202106f2f4 | /OldSpaghettiCode/Simulation_Graphing.py | 64ea33675336baa87d1cec7d055dd58cab009930 | [] | no_license | Halberd63/PoolMiningSimulationModel | 75759d95ddeffa072d498886831dc698f647af75 | 07d53d3af9bd98966bbb9e6ddc6a5fed2e29387a | refs/heads/master | 2021-01-20T05:34:39.285153 | 2017-11-02T12:46:43 | 2017-11-02T12:46:43 | 101,452,503 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,835 | py | import plotly
plotly.tools.set_credentials_file(username='karlerikoja', api_key='tJQ6g692vFMVs89glb3v')
import plotly.graph_objs as go
import plotly.plotly as py
#This graph is mostly used to prove our algorithm works correctly
def graphBlocksFoundOverTime(model):
#Code for proving that the block finding is calculated correctly
miningTimes = model.getMiningTimes()
miningTimes.sort()
print(miningTimes)
numberOfBlocksOverTime = []
for i in range(1,miningTimes[-1]+1):
for j in range(len(miningTimes)):
if i < miningTimes[j]:
numberOfBlocksOverTime.append(j)
break
print(numberOfBlocksOverTime)
trace = go.Scatter(
x = [i for i in range(miningTimes[-1]+1)],
y = numberOfBlocksOverTime,
mode = 'markers'
)
data = [trace]
layout = go.Layout(
title = "Number of Blocks Mined over Time",
titlefont = dict(
size = 32
),
xaxis = dict(
title = "Time",
titlefont = dict(
size = 18
)
),
yaxis = dict(
title = "Number of Blocks Found Within Given Time",
titlefont = dict(
size = 18
)
)
)
py.plot(go.Figure(data = data, layout = layout)
, filename='Number of blocks mined vs time')
#This graph is mostly used to prove our algorithm works correctly
def graphWealthoverIndependance(model):
trace = go.Scatter(
x = model.getSoloMiningPower(),
y = model.getMinerWealth(),
mode = 'markers'
)
data = [trace]
layout = go.Layout(
title = "Miner Wealth vs Miner Independance",
titlefont = dict(
size = 32
),
xaxis = dict(
title = "Processing Power Dedicated to Mining Alone",
titlefont = dict(
size = 18
)
),
yaxis = dict(
title = "Wealth of the Miner",
titlefont = dict(
size = 18
)
)
)
py.plot(go.Figure(data = data, layout = layout)
, filename='Solo Power vs Wealth')
def minersVsWealth(model):
trace = go.Scatter(
x=model.getMinerID(),
y=model.getMinerWealth(),
mode='markers'
)
data = [trace]
layout = go.Layout(
title="Miner Wealth vs ID",
titlefont=dict(
size=32
),
xaxis=dict(
title="Miners",
titlefont=dict(
size=18
)
),
yaxis=dict(
title="Wealth of the Miner",
titlefont=dict(
size=18
)
)
)
py.plot(go.Figure(data=data, layout=layout)
, filename='MinerID vs Wealth') | [
"hwboy2@student.monash.edu"
] | hwboy2@student.monash.edu |
77646e2ec0616be8c2082741e2ca6efa9902dd3a | ef457162d79be971f52ee96b1891764a2d230e8b | /demo.py | 0b61466993849c1bffa5dd4056ad7be10ebc7073 | [] | no_license | LuoJiaji/modularCNN | f2239f6b4ed378fede4401f6e90d9b1d5acc8c70 | b8591c3924abeccaebfad56289a185f904da8608 | refs/heads/master | 2020-06-18T12:57:59.192061 | 2019-07-11T13:20:08 | 2019-07-11T13:20:08 | 196,309,757 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,242 | py | import random
import numpy as np
import matplotlib.pyplot as plt
from keras.datasets import mnist
from keras.preprocessing import image
from keras.models import Model, load_model
from keras.layers import Input, Flatten, Dense, Dropout, Lambda
from keras.layers.convolutional import Conv2D
from keras.layers.pooling import MaxPooling2D
from keras.optimizers import RMSprop, SGD
from keras.utils.vis_utils import plot_model
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train = x_train.astype('float32')
x_test = x_test.astype('float32')
x_train /= 255
x_test /= 255
x_test = np.expand_dims(x_test, axis = 3)
def get_random_batch(x, y, l, batchsize):
ind_p = np.where(y_train == l)[0]
ind_n = np.where(y_train != l)[0]
x_batch = []
y_batch = []
l_p = len(ind_p)
l_n = len(ind_n)
for i in range(int(batchsize/2)):
ind = random.randrange(l_p)
x_batch.append(x[ind_p[ind]])
y_batch.append(1)
# print(y[ind_p[ind]])
ind = random.randrange(l_n)
x_batch.append(x[ind_n[ind]])
y_batch.append(0)
# print(y[ind_n[ind]])
x_batch = np.array(x_batch)
y_batch = np.array(y_batch)
y_batch = y_batch.astype('float32')
return x_batch, y_batch
x_batch, y_batch = get_random_batch(x_train, y_train, 0, 128)
input_shape = (28,28,1)
input_data = Input(shape=input_shape)
x = Conv2D(32, (3, 3), activation='relu', padding='same', name='block1_conv1')(input_data)
x = MaxPooling2D((2, 2), strides=(2, 2), name='block1_pool')(x)
x = Conv2D(32, (3, 3), activation='relu', padding='same', name='block1_conv2')(x)
x = MaxPooling2D((2, 2), strides=(2, 2), name='block2_pool')(x)
x = Flatten(name='flatten')(x)
x = Dense(128, activation='relu', name='fc1')(x)
x = Dense(1, activation='sigmoid', name='fc2')(x)
model = Model(input_data, x)
#model.compile(optimizer='rmsprop', loss='mse', metrics=['accuracy'])
model.compile(optimizer='rmsprop', loss='binary_crossentropy', metrics=['accuracy'])
#i=3
for i in range(10):
input_shape = (28,28,1)
input_data = Input(shape=input_shape)
x = Conv2D(32, (3, 3), activation='relu', padding='same', name='block1_conv1')(input_data)
x = MaxPooling2D((2, 2), strides=(2, 2), name='block1_pool')(x)
x = Conv2D(32, (3, 3), activation='relu', padding='same', name='block1_conv2')(x)
x = MaxPooling2D((2, 2), strides=(2, 2), name='block2_pool')(x)
x = Flatten(name='flatten')(x)
x = Dense(128, activation='relu', name='fc1')(x)
x = Dense(1, activation='sigmoid', name='fc2')(x)
model = Model(input_data, x)
model.compile(optimizer='rmsprop', loss='binary_crossentropy', metrics=['accuracy'])
for it in range(5000):
x_batch, y_batch = get_random_batch(x_train, y_train, i, 256)
x_batch = np.expand_dims(x_batch, axis = 3)
train_loss, train_acc = model.train_on_batch(x_batch, y_batch)
if it % 100 == 0:
print('i:', i, 'it:', it, 'loss', train_loss, 'acc', train_acc)
model.save('./models/ModularCNN_' + str(i) + '.h5')
# 单个模型测试
i=9
model = load_model('./models/ModularCNN_9.h5')
test_label = np.copy(y_test)
test_label[np.where(y_test == i)] = 1
test_label[np.where(y_test != i)] = 0
#x_test = np.expand_dims(x_test, axis = 3)
pre = model.predict(x_test)
pre = pre[:,0]
pre[np.where(pre < 0.2)] = 0
pre[np.where(pre >= 0.2)] = 1
acc = np.mean(pre == test_label)
# 整合模型,综合测试
input_shape = (28,28,1)
input_data = Input(shape=input_shape)
model_0 = load_model('./models/ModularCNN_0.h5')
model_1 = load_model('./models/ModularCNN_1.h5')
model_2 = load_model('./models/ModularCNN_2.h5')
model_3 = load_model('./models/ModularCNN_3.h5')
model_4 = load_model('./models/ModularCNN_4.h5')
model_5 = load_model('./models/ModularCNN_5.h5')
model_6 = load_model('./models/ModularCNN_6.h5')
model_7 = load_model('./models/ModularCNN_7.h5')
model_8 = load_model('./models/ModularCNN_8.h5')
model_9 = load_model('./models/ModularCNN_9.h5')
output_0 = model_0(input_data)
output_1 = model_1(input_data)
output_2 = model_2(input_data)
output_3 = model_3(input_data)
output_4 = model_4(input_data)
output_5 = model_5(input_data)
output_6 = model_6(input_data)
output_7 = model_7(input_data)
output_8 = model_8(input_data)
output_9 = model_9(input_data)
model = Model(inputs = input_data,
outputs=[output_0, output_1, output_2, output_3, output_4,
output_5, output_6, output_7, output_8, output_9])
#plot_model(model, to_file='./models_visualization/modularCNN.pdf',show_shapes=True)
#plot_model(model, to_file='./models_visualization/modularCNN.png',show_shapes=True)
pre = model.predict(x_test)
pre = np.array(pre)
pre = np.squeeze(pre)
pre = pre.T
pre = np.argmax(pre, axis = 1)
acc = np.mean(pre == y_test)
## 未知数据测试
img = image.load_img('./dataset/img/G/Q2Fsdmlub0hhbmQudHRm.png', target_size=(28, 28))
img = image.img_to_array(img)
img = img/255
img = img[:,:,0]
plt.imshow(img)
img = np.expand_dims(img, axis=0)
img = np.expand_dims(img, axis=3)
pre = model.predict(img)
pre = np.array(pre)
pre = np.squeeze(pre)
img_rand = np.random.rand(1,28,28,1)
pre = model.predict(img)
pre = np.array(pre)
pre = np.squeeze(pre) | [
"lt920@126.com"
] | lt920@126.com |
5c600af87d1fb032f6713acce45a97f493b221e6 | b350379667e9d67b436a0a70bdf45ea58776ccb5 | /imdb_sentiment.py | 58e24d14489bc0c5772e7e4deb346be0f7454b03 | [] | no_license | Balakishan77/Sentiment-Analyis-of-IMDB-dataset | 30227b4151bf04ab56f445f4742a0b14d87d6b72 | 0e0b3e289f7a9c177d904afdc97e1606fad97a5a | refs/heads/master | 2020-04-14T06:21:17.207182 | 2018-12-31T17:32:05 | 2018-12-31T17:32:05 | 163,684,039 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,474 | py | # -*- coding: utf-8 -*-
"""
@author: Balakishan
"""
import os
import random
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_selection import SelectKBest
from sklearn.feature_selection import f_classif
from sklearn.ensemble import RandomForestClassifier
import keras
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
def load_imdb_sentiment_analysis_dataset(data_path, seed=123):
"""Loads the IMDb movie reviews sentiment analysis dataset.
# Arguments
data_path: string, path to the data directory.
seed: int, seed for randomizer.
# Returns
A tuple of training and validation data.
Number of training samples: 25000
Number of test samples: 25000
Number of categories: 2 (0 - negative, 1 - positive)
"""
imdb_data_path = os.path.join(data_path, 'aclImdb')
# Load the training data
train_texts = []
train_labels = []
for category in ['pos', 'neg']:
train_path = os.path.join(imdb_data_path, 'train', category)
print (train_path)
for fname in sorted(os.listdir(train_path)):
if fname.endswith('.txt'):
with open(os.path.join(train_path, fname), encoding="utf8") as f:
train_texts.append(f.read())
train_labels.append(0 if category == 'neg' else 1)
# Load the validation data.
test_texts = []
test_labels = []
for category in ['pos', 'neg']:
test_path = os.path.join(imdb_data_path, 'test', category)
for fname in sorted(os.listdir(test_path)):
if fname.endswith('.txt'):
with open(os.path.join(test_path, fname), encoding="utf8") as f:
test_texts.append(f.read())
test_labels.append(0 if category == 'neg' else 1)
# Shuffle the training data and labels.
random.seed(seed)
random.shuffle(train_texts)
random.seed(seed)
random.shuffle(train_labels)
return train_texts, np.array(train_labels),test_texts, np.array(test_labels)
def get_num_words_per_sample(sample_texts):
"""Returns the median number of words per sample given corpus.
# Arguments
sample_texts: list, sample texts.
# Returns
int, median number of words per sample.
"""
num_words = [len(s.split()) for s in sample_texts]
return np.median(num_words)
def plot_sample_length_distribution(sample_texts):
"""Plots the sample length distribution.
# Arguments
samples_texts: list, sample texts.
"""
plt.hist([len(s) for s in sample_texts], 50)
plt.xlabel('Length of a sample')
plt.ylabel('Number of samples')
plt.title('Sample length distribution')
plt.show()
# Vectorization parameters
# Range (inclusive) of n-gram sizes for tokenizing text.
NGRAM_RANGE = (1, 2)
# Limit on the number of features. We use the top 20K features.
TOP_K = 20000
# Whether text should be split into word or character n-grams.
# One of 'word', 'char'.
#analyzer = word : Override the string tokenization step while preserving the preprocessing and n-grams generation steps.
TOKEN_MODE = 'word'
# Minimum document/corpus frequency below which a token will be discarded.
MIN_DOCUMENT_FREQUENCY = 2
def ngram_vectorize(train_texts, train_labels, val_texts):
"""Vectorizes texts as n-gram vectors.
1 text = 1 tf-idf vector the length of vocabulary of unigrams + bigrams.
# Arguments
train_texts: list, training text strings.
train_labels: np.ndarray, training labels.
val_texts: list, validation text strings.
# Returns
x_train, x_val: vectorized training and validation texts
"""
# Create keyword arguments to pass to the 'tf-idf' vectorizer.
kwargs = {
'ngram_range': NGRAM_RANGE, # Use 1-grams + 2-grams.
'dtype': 'int32',
'strip_accents': 'unicode',
'decode_error': 'replace',
'analyzer': TOKEN_MODE, # Split text into word tokens.
'min_df': MIN_DOCUMENT_FREQUENCY,
}
vectorizer = TfidfVectorizer(**kwargs)
# Learn vocabulary from training texts and vectorize training texts.
x_train = vectorizer.fit_transform(train_texts)
# Vectorize validation texts.
x_val = vectorizer.transform(val_texts)
# Select top 'k' of the vectorized features.
selector = SelectKBest(f_classif, k=min(TOP_K, x_train.shape[1]))
selector.fit(x_train, train_labels)
x_train = selector.transform(x_train).astype('float32')
x_val = selector.transform(x_val).astype('float32')
return x_train, x_val
def mlp_model( input_shape):
# Initialising the ANN
classifier = Sequential()
# Adding the input layer and the first hidden layer
classifier.add(Dense(units = 32, kernel_initializer = 'uniform', activation = 'relu', input_dim = (20000 )))
classifier.add(Dropout(p = 0.5))
# Adding the second hidden layer
classifier.add(Dense(units = 32, kernel_initializer = 'uniform', activation = 'relu'))
classifier.add(Dropout(p = 0.5))
# Adding the output layer
classifier.add(Dense(units = 1, kernel_initializer = 'uniform', activation = 'sigmoid'))
# Compiling the ANN
classifier.compile(optimizer = 'adam', loss = 'binary_crossentropy', metrics = ['accuracy'])
# Fitting the ANN to the Training set
classifier.fit(x_train, train_labels, batch_size = 10, epochs = 10)
return classifier
if __name__ == '__main__':
print ("in main")
data_path=os.getcwd()
train_texts, train_labels, test_texts, test_labels = load_imdb_sentiment_analysis_dataset(data_path, seed=123)
median = get_num_words_per_sample(train_texts)
#Calculating the number of samples/number of words per sample ratio.
ratio = 25000/median
x_train, x_test = ngram_vectorize(train_texts, train_labels, test_texts)
classifier = mlp_model( (20000))
# Part 3 - Making predictions and evaluating the model
# Predicting the Test set results
y_pred = classifier.predict(x_test)
y_pred = (y_pred > 0.5)
y_pred_acc_loss = classifier.evaluate(x_test, test_labels)
# Making the Confusion Matrix
cm = confusion_matrix(test_labels, y_pred)
#this function computes subset accuracy
accuracy = accuracy_score(test_labels, y_pred) #0.88784
acc_score = accuracy_score(test_labels, y_pred,normalize=False) #22196 out of 25000
#-------------------------------------------------------
# Fitting Random Forest Classification to the Training set
classifier = RandomForestClassifier(n_estimators = 10, criterion = 'entropy', random_state = 0)
classifier.fit(x_train, train_labels)
# Predicting the Test set results
y_pred = classifier.predict(x_test)
# Making the Confusion Matrix
cm = confusion_matrix(test_labels, y_pred)
#this function computes subset accuracy
accuracy = accuracy_score(test_labels, y_pred) #0.7664
acc_score = accuracy_score(test_labels, y_pred,normalize=False) #19160 out of 25000
| [
"noreply@github.com"
] | Balakishan77.noreply@github.com |
613558e1f0a6f4199d62e2feae12a2ba06b09eba | 66e45a2760db8a1fc580689586806c2e3cce0517 | /pymontecarlo/options/model/base.py | 8951f563fdc581a862298aeec9784c0e6a2631d2 | [] | no_license | arooney/pymontecarlo | 4b5b65c88737de6fac867135bc05a175c8114e48 | d2abbb3e9d3bb903ffec6dd56472470e15928b46 | refs/heads/master | 2020-12-02T18:01:42.525323 | 2017-05-19T16:44:30 | 2017-05-19T16:44:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 649 | py | """
Base models.
"""
# Standard library modules.
import abc
import enum
# Third party modules.
# Local modules.
from pymontecarlo.options.base import Option
# Globals and constants variables.
class ModelMeta(enum.EnumMeta, abc.ABCMeta):
pass
class Model(Option, enum.Enum, metaclass=ModelMeta):
def __init__(self, fullname, reference=''):
self.fullname = fullname
self.reference = reference
def __eq__(self, other):
# NOTE: Must be implemented from Option,
# but should only used equality from Enum
return enum.Enum.__eq__(self, other)
def __str__(self):
return self.fullname
| [
"philippe.pinard@gmail.com"
] | philippe.pinard@gmail.com |
ea7ed569fb1fafbdfffbca680baa18955f712a97 | 734bedda61c301048855fdf66d9e572cce7f5a97 | /week9/queue.py | 4832ab418db4cf33d45088be20f83cbd253954ab | [] | no_license | Jason9789/Python_Study | 265e844f13c877a338919636e7dbcaf0a73ffaac | bd92b8c8b0a9321b86f21486a72260db834b0a24 | refs/heads/master | 2022-11-20T06:38:01.974391 | 2020-07-17T15:32:32 | 2020-07-17T15:32:32 | 275,503,794 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 867 | py | # 큐 과제
# 과일 목록을 큐에 저장하고 삭제
# 초기 메뉴에서 삽입/삭제/종료 선택
# 종료시 프로그램 종료
# 삽입
# 과일 이름 입력받음
# 큐에 삽입 append() 이용
# 큐 출력
# 삭제
# 큐에서 과일 삭제 pop() 이용
queue = []
flag = True
while flag:
keyWord = input('삽입/삭제/종료 : ')
if keyWord == '종료':
flag = False
elif keyWord == '삽입':
fruit = input("과일 이름 : ")
queue.append(fruit)
print(queue)
elif keyWord == '삭제':
num = len(queue)
if num == 0:
print("삭제할 과일이 없습니다!!!")
continue
else:
fruit = queue.pop(0)
print("삭제된 과일 : %s" % fruit)
print(queue)
else:
print("잘못 입력하였습니다!!!")
| [
"lifebook0809@gmail.com"
] | lifebook0809@gmail.com |
4b87e3ca5cad6b2300de2110e17a5bfcf92f12cc | 2c4d4ff5f4f0984fdbf33c6fbc34b50caeaafdf0 | /torchattacks/attacks/cw.py | cba813abfff0e3e3a3fe0adab9fda06e2435195e | [
"MIT"
] | permissive | LiGuihong/adversarial-attacks-pytorch | f9fbbb0244034380d000f4ebf82cd576a22587cb | a3fd4ab2bd93e9dea3532ee46e6b99615b16127a | refs/heads/master | 2023-01-24T09:29:11.273149 | 2020-12-07T13:48:26 | 2020-12-07T13:48:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,406 | py | import torch
import torch.nn as nn
import warnings
import torch.optim as optim
from ..attack import Attack
class CW(Attack):
r"""
CW in the paper 'Towards Evaluating the Robustness of Neural Networks'
[https://arxiv.org/abs/1608.04644]
Distance Measure : L2
Arguments:
model (nn.Module): model to attack.
c (float): c in the paper. parameter for box-constraint. (DEFALUT: 1e-4)
:math:`minimize \Vert\frac{1}{2}(tanh(w)+1)-x\Vert^2_2+c\cdot f(\frac{1}{2}(tanh(w)+1))`
kappa (float): kappa (also written as 'confidence') in the paper. (DEFALUT: 0)
:math:`f(x')=max(max\{Z(x')_i:i\neq t\} -Z(x')_t, - \kappa)`
steps (int): number of steps. (DEFALUT: 1000)
lr (float): learning rate of the Adam optimizer. (DEFALUT: 0.01)
.. warning:: With default c, you can't easily get adversarial images. Set higher c like 1.
Shape:
- images: :math:`(N, C, H, W)` where `N = number of batches`, `C = number of channels`, `H = height` and `W = width`. It must have a range [0, 1].
- labels: :math:`(N)` where each value :math:`y_i` is :math:`0 \leq y_i \leq` `number of labels`.
- output: :math:`(N, C, H, W)`.
Examples::
>>> attack = torchattacks.CW(model, targeted=False, c=1e-4, kappa=0, steps=1000, lr=0.01)
>>> adv_images = attack(images, labels)
.. note:: NOT IMPLEMENTED methods in the paper due to time consuming.
(1) Binary search for c.
(2) Choosing best L2 adversaries.
"""
def __init__(self, model, c=1e-4, kappa=0, steps=1000, lr=0.01):
super(CW, self).__init__("CW", model)
self.c = c
self.kappa = kappa
self.steps = steps
self.lr = lr
def forward(self, images, labels):
r"""
Overridden.
"""
images = images.clone().detach().to(self.device)
labels = labels.clone().detach().to(self.device)
labels = self._transform_label(images, labels)
# f-function in the paper
def f(x):
outputs = self.model(x)
one_hot_labels = torch.eye(len(outputs[0]))[labels].to(self.device)
i, _ = torch.max((1-one_hot_labels)*outputs, dim=1)
j = torch.masked_select(outputs, one_hot_labels.bool())
return torch.clamp(self._targeted*(j-i), min=-self.kappa)
w = torch.zeros_like(images)
w.detach_()
w.requires_grad = True
optimizer = optim.Adam([w], lr=self.lr)
prev = 1e10
for step in range(self.steps):
a = 1/2*(nn.Tanh()(w) + 1)
loss1 = nn.MSELoss(reduction='sum')(a, images)
loss2 = torch.sum(self.c*f(a))
cost = loss1 + loss2
optimizer.zero_grad()
cost.backward()
optimizer.step()
# Early Stop when loss does not converge.
if step % (self.steps//10) == 0:
if cost > prev:
warnings.warn("Early stopped because the loss is not converged.")
return (1/2*(nn.Tanh()(w) + 1)).detach()
prev = cost
# print('- CW Attack Progress : %2.2f %% ' %((step+1)/self.steps*100), end='\r')
adv_images = (1/2*(nn.Tanh()(w) + 1)).detach()
return adv_images
| [
"41545927+HarryK24@users.noreply.github.com"
] | 41545927+HarryK24@users.noreply.github.com |
bbb0e5789cc95e133b10dc78292d1330aa319f50 | 09d349155446f2f32519cfc7deb7f79b1138a158 | /kraft/actions.py | d7a5fba1e5bcf34353359243e9c51f253c87c7e3 | [] | no_license | marcin-/pardususer.de | 632d7fb4c5a9252dbcf82711a5da126523d3b8e8 | 1d4bb1d1f9da113cf2b8cbcc6b544ec9b9616862 | refs/heads/master | 2016-09-05T23:22:38.726769 | 2012-10-08T20:40:39 | 2012-10-08T20:40:39 | 6,114,809 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 810 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
from pisi.actionsapi import cmaketools
from pisi.actionsapi import pisitools
from pisi.actionsapi import shelltools
from pisi.actionsapi import get
def setup():
shelltools.makedirs("build")
shelltools.cd("build")
cmaketools.configure("-DCMAKE_INSTALL_PREFIX=/usr \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_CXX_FLAGS_RELEASE:STRING='-DNDEBUG -DQT_NO_DEBUG' \
-DCMAKE_C_FLAGS_RELEASE:STRING='-DNDEBUG'", sourceDir="..")
def build():
shelltools.cd("build")
cmaketools.make()
def install():
shelltools.cd("build")
cmaketools.install()
shelltools.cd("..")
pisitools.dodoc("TODO", "Changes.txt", "INSTALL", "README", "COPYING", "Releasenotes.txt", "AUTHORS")
| [
"marcin.bojara@gmail.com"
] | marcin.bojara@gmail.com |
7a331d049d6b0b74c4e4b7cc0d73a04d5ca44133 | c74fa5319da7d126c5ac2bdcc2fb4e51816d50f6 | /students/migrations/0008_alter_student_college_rollno.py | 712737655f8d42791628de5d35ba9052fe52ad96 | [] | no_license | Abhishek1210ak/Git-tutorial | 3694f7ab4b462ee0063cce6ee209586b3f50e82d | da4fda579d49148e015f04bccffae289d7c749ad | refs/heads/master | 2023-08-21T18:27:27.572936 | 2021-09-17T19:52:15 | 2021-09-17T19:52:15 | 407,427,001 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 490 | py | # Generated by Django 3.2.4 on 2021-06-20 14:27
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('students', '0007_alter_student_college_rollno'),
]
operations = [
migrations.AlterField(
model_name='student',
name='college_rollno',
field=models.CharField(error_messages={'unique': 'This rollno has already been registered.'}, max_length=10, unique=True),
),
]
| [
"itsmeabhishek8289@gmail.com"
] | itsmeabhishek8289@gmail.com |
acf29bf544ce054a92c4359cc51c434d34463548 | 6cdaab9935f717e1022c20a3e38cac185f3e6780 | /cotaAtivos/admin.py | ca8cde6eeacada3461a3443838e005567c3f1798 | [] | no_license | TeaH4nd/desafioInoa | e19048e3cae0c35b47a3c4cf3238734c3ea6363a | 3f6a3272dc31aef34893ec606d363b03183a5227 | refs/heads/main | 2023-02-17T12:50:17.885127 | 2021-01-12T16:27:11 | 2021-01-12T16:27:11 | 326,695,144 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 237 | py | from django.contrib import admin
from .models import Acao, Preco, Perfil, Salvo
#adicionando modelos para a pagina de admin
admin.site.register(Acao)
admin.site.register(Preco)
admin.site.register(Perfil)
admin.site.register(Salvo)
| [
"alexchamon@poli.ufrj.br"
] | alexchamon@poli.ufrj.br |
6bd27be7e362aff648fa0239eaaf657a2957fe0b | 855b8dd8999f46c26ab59f6719f81c70c47e7853 | /build/turtlebot_apps/turtlebot_calibration/catkin_generated/pkg.installspace.context.pc.py | 53f19eb87ae99ac2788a29d0a3b92cc9298c5061 | [] | no_license | aefrank-hrlab/hw5-hri-2018-ucsd | b11779c41d9ad4903101ccf49906b4129b946eba | 36073251eb120c54da4f792f15cc7073f1dc36b8 | refs/heads/master | 2021-05-09T00:50:27.976750 | 2018-02-01T01:31:00 | 2018-02-01T01:31:00 | 119,758,688 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 488 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/turtlebot/andi_ws/install/include".split(';') if "/home/turtlebot/andi_ws/install/include" != "" else []
PROJECT_CATKIN_DEPENDS = "std_msgs;message_runtime".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "turtlebot_calibration"
PROJECT_SPACE_DIR = "/home/turtlebot/andi_ws/install"
PROJECT_VERSION = "2.3.7"
| [
"rinsurbs@gmail.com"
] | rinsurbs@gmail.com |
37ee4f71fd846e04a83add6178cd7ed794308806 | 8de12fa0a5ce377f8ad245ebe213daa1e7ee1ca6 | /src/indexTableChanged.py | 35f055950d4a89a5107b082c2e52fafce62322e4 | [] | no_license | aakashpany/Stock-Index-Summary | 03bb58686043b26910d8df6438fb4a97f278ee81 | a15eb5be12245bd1e4db5c5dcff1d0d9ffb813b0 | refs/heads/main | 2023-06-25T23:35:12.491063 | 2021-07-30T05:39:40 | 2021-07-30T05:39:40 | 389,770,672 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 664 | py | import requests
import json
import pandas as pd
import streamlit as st
import datamethods
response = requests.get("https://indexapi.aws.merqurian.com/index?type=test%2Cprod")
data = json.loads(response.text)
url = ''
dataList = []
dataList2 = []
for result in data['results']:
print(json.dumps(result))
prodData = datamethods.proddata(result)
if result['stage'] == "prod":
dataList.append(prodData)
else:
dataList2.append(prodData)
dataset = st.beta_container()
with dataset:
st.header("Production Table")
st.write(pd.DataFrame(dataList))
st.subheader("Non-Production Table")
st.write(pd.DataFrame(dataList2))
| [
"noreply@github.com"
] | aakashpany.noreply@github.com |
b157b90e3f21c14cfced38265c681923ac6be643 | 08ab7793989d9f426188902cbd47d95385cdba81 | /sidia_project/djangoconfig/asgi.py | 195af33603fd27f43b159f6a3678549f5ea306bb | [] | no_license | robsongcruz/programming-challenge | 30a342395e37de91a1a571778b7bf53a728447f3 | 4036fda81e235f4f91d83384c44d99077450366e | refs/heads/master | 2020-12-08T06:53:03.528142 | 2020-01-18T03:51:26 | 2020-01-18T03:51:26 | 232,917,722 | 1 | 1 | null | 2020-01-09T22:25:00 | 2020-01-09T22:24:59 | null | UTF-8 | Python | false | false | 401 | py | """
ASGI config for djangoconfig project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'djangoconfig.settings')
application = get_asgi_application()
| [
"robson.cruz@grupoqs.net"
] | robson.cruz@grupoqs.net |
0238148a0fb3b23bc6f9deca8adea9f39aeaf387 | ef4eb70950ade53520f44fefd2477de962647c6d | /The_gift.py | 492f22874e00f91b197da178efc601865b144585 | [] | no_license | dldms1345/Algorithm | e53f7f99b1d2e7d9d85d80f3e45850e9f6364c7c | 2fd20026846fd4ca6a5a2bf42c3a008738892fb3 | refs/heads/master | 2021-07-30T08:13:50.904879 | 2021-07-21T16:53:33 | 2021-07-21T16:53:33 | 212,076,828 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 640 | py | import sys
import math
# Auto-generated code below aims at helping you parse
# the standard input according to the problem statement.
n = int(input())
price = int(input())
budgets = [int(input()) for i in range(n)]
budgets.sort()
if sum(budgets) < price:
print("IMPOSSIBLE")
exit(0)
num = n
for budget in budgets:
if budget < price//num:
price -= budget
num -= 1
print(budget)
else:
index = budgets.index(budget)
break
tmp = price//num
for i in range(index, n-1):
num -= 1
print(tmp)
price -= tmp
if price//num > tmp:
tmp = price//num
print(price) | [
"dldms1345@gmail.com"
] | dldms1345@gmail.com |
5005cb8e54066070f254014fede0db6ecb90ed09 | b6df7cda5c23cda304fcc0af1450ac3c27a224c1 | /nlp/preprocessing.py | 441402923997d2e7d7041d50ca10938068282e69 | [] | no_license | vieira-rafael/py-search | 88ee167fa1949414cc4f3c98d33f8ecec1ce756d | b8c6dccc58d72af35e4d4631f21178296f610b8a | refs/heads/master | 2021-01-21T04:59:36.220510 | 2016-06-20T01:45:34 | 2016-06-20T01:45:34 | 54,433,313 | 2 | 4 | null | null | null | null | UTF-8 | Python | false | false | 287 | py |
class PreProcessing:
def __init__(self):
stopwords = ["and","del","from","not","while","as","elif","global","or","with","assert","else","if","pass","yield","break","except","import","print","class","exec","in","raise","continue","finally","is","return","def","for","lambda","try"];
| [
"thaisnviana@gmail.com"
] | thaisnviana@gmail.com |
4d44015b1186cdeefbacd181fe4acf9db95a1fb3 | ffcecdf573e18e7d11bc8181658f9f6c045bc8b2 | /Techgig_codes/graph_nodes.py | 6379185ce5ef2f9fd1e3c2779680ac151f71fd34 | [] | no_license | prabakaran1477/PythonScripts | 0fb025b1316686e3677b4aae01e7431ea569dba4 | e510e7b25fcc5fbaf8ff92eeb2c908ba01c328d9 | refs/heads/master | 2021-03-30T21:09:13.838205 | 2019-03-21T14:10:01 | 2019-03-21T14:10:01 | 125,012,200 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,542 | py | graph = {'A': ['B', 'C'],
'B': ['C', 'D'],
'C': ['D'],
'D': ['C'],
'E': ['F'],
'F': ['C']
}
'''
def find_path(graph, start, end, path=[]):
print(' =:= ',graph[start])
path = path + [start]
if start == end:
return path
if start not in graph:
return None
for node in graph[start]:
if node not in path:
newpath = find_path(graph, node, end, path)
if newpath: return newpath
return None
print(graph)
# val = find_path(graph, 'A', 'D')
# print(val)
'''
def minRoads(input1):
graph,start,end = input_to_graph(input1)
print ('graph : ', graph)
def path_finder(graph,start,end,path =[]):
path = path + [start]
if start == end:
return path
if start not in graph:
return None
for n in graph[start]:
print(' = ',n)
if n not in path:
newpath = path_finder(graph, n, end, path)
print(newpath)
input('***')
if newpath: return newpath
return None
# output = path_finder(graph, start, end)
# return output
def find_shortest_path(graph, start, end, path=[]):
path = path + [start]
if start == end:
return path
if start not in graph:
return None
shortest = None
for node in graph[start]:
if node not in path:
newpath = find_shortest_path(graph, node, end, path)
if newpath:
if not shortest or len(newpath) < len(shortest):
shortest = newpath
print(shortest)
return shortest
# value = find_shortest_path(graph, start, end)
# print(value)
# input()
def find_all_paths(graph, start, end, path=[]):
path = path + [start]
if start == end:
return [path]
if start not in graph:
return []
paths = []
for node in graph[start]:
if node not in path:
newpaths = find_all_paths(graph, node, end, path)
for newpath in newpaths:
paths.append(newpath)
return paths
value = find_all_paths(graph, start, end)
print(value)
print(len(value))
input()
def to_close_path(graph,start,end,input1):
out = []
for node in graph:
if end in graph[node]:
# print('end : ',end)
# print('node : ',node)
for check in input1:
print ('check : ',check)
if (str(end) in check and str(node) in check):
out.append(node)
return len(node)
# val = to_close_path(graph, start, end,input1)
# g = nx.Graph(graph)
# print(val)
# return val
import itertools
def input_to_graph(list1):
graph = {}
value = [i.split('#') for i in list1]
for i in value:
if i[0] not in graph:
graph[i[0]] = []
graph[i[0]].append(i[1])
else:
graph[i[0]].append(i[1])
start = list1[0].split('#')[0]
end = list1[-1].split('#')[1]
print('start : ',start)
print('end : ',end)
print ('graph = = ', graph)
return graph,start,end
final_op = minRoads(['1#2', '1#5', '2#5', '2#3','6#3', '3#4', '4#5', '4#6'])
print(final_op)
{
'1': ['2', '5'],
'2': ['5', '3'],
'6': ['3'],
'3': ['4'],
'4': ['5', '6']
}
| [
"prabakarand@meritgroup.com"
] | prabakarand@meritgroup.com |
f9c2e895848e29de025d232cc5c22a9f8636eaab | 8612c9a33ecf63a668d3e63572e2c9fbbdec969f | /rover.py | 06835c9eb549f95de7a2c69d13003d1210430985 | [] | no_license | rickhenderson/rover | f4c1203d45a56f6ca77a6a34fb5053f460f9f0b4 | b01aebd677d6a8a005a80000e4da97f967fead0f | refs/heads/master | 2021-01-21T13:26:12.283479 | 2016-05-17T02:25:45 | 2016-05-17T02:25:45 | 45,221,716 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,259 | py | """ rover.py
Module to store functions to control an autonomous rover.
Created by: Rick Henderson
Created on: April 18, 2016
Notes:
April 18, 2016
* Added clean up routine because GPIO isn't exposed in
user programs.
* Turns OK on smooth surface. Use 1 sec for 90 degree turn.
* Will buy Pi Servo Hat since Pi has inaccurate PWM signals
which could be causing the problem.
Updated April 18, 2016:
Pin 7 controls right motors in forward direction
Pin 11 - right backward
Pin 15 - Left side motors forward
Pin 13 - Right side motors backwards
"""
import RPi.GPIO as GPIO
import time
# Set mode and output pins */
GPIO.setmode(GPIO.BOARD)
GPIO.setup(7, GPIO.OUT)
GPIO.setup(11, GPIO.OUT)
GPIO.setup(13, GPIO.OUT)
GPIO.setup(15, GPIO.OUT)
### Function definitions
def moveForward( intTime ):
" Move the rover forward for intTime seconds."
# Set and a signal
# To drive motor forward, set pins 7 and 15 to True.
print("Moving forward...")
GPIO.output(7, True)
GPIO.output(15, True)
# Sleep the processor so the motors continue to turn.
time.sleep(intTime)
# Set the pins to false to stop.
GPIO.output(7, False)
GPIO.output(15, False)
return;
def moveBackward( intTime ):
"This function moves the rover backwards for intTime seconds."
print("Moving backward...")
GPIO.output(11, True)
GPIO.output(13, True)
# Sleep during duration of move
time.sleep(intTime)
# Set the outputs to false to stop motors
GPIO.output(11, False)
GPIO.output(13, False)
return;
def turnRight( intTime ):
# Try 0.97 seconds for 90 degree turn
print("Turning right...")
GPIO.output(7, True)
GPIO.output(13, True)
# Sleep the processor so the motors continue to turn.
time.sleep(intTime)
# Set the pins to false to stop.
GPIO.output(7, False)
GPIO.output(13, False)
return;
def turnLeft( intTime ):
# Try 0.97 seconds for 90 degree turn
print("Turning left...")
GPIO.output(11, True)
GPIO.output(15, True)
# Sleep the processor so the motors continue to turn.
time.sleep(intTime)
# Set the pins to false to stop.
GPIO.output(11, False)
GPIO.output(15, False)
return;
def cleanup():
GPIO.cleanup()
| [
"rick.henderson.blog@gmail.com"
] | rick.henderson.blog@gmail.com |
e5edea763ca70912e923ffe5f7aec21187b17bea | ec57255f8eca5e869ad9537448df8ec4af05ace5 | /Q5_FloydWarshall.py | d4ca8bf2876566463ac73689837da29a5782cf42 | [] | no_license | EduardoLussi/INE5413_A1 | 399b47ff12e0fc425ebb2f1390f3cf4f9ee2eda6 | 40a4a9c2c2c423b3b43a20d67c21f8dee1684ff5 | refs/heads/master | 2023-06-26T20:25:42.119488 | 2021-08-06T00:10:57 | 2021-08-06T00:10:57 | 378,901,687 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 749 | py | from Q1_Grafo import Grafo
def printSolution(D): # Exibe solução
for i, vDist in enumerate(D):
text = f"{i+1}:"
for dist in vDist:
text += f"{dist},"
print(text[:-1])
def FloydWarshall(grafo):
D = []
for u in grafo.vertices: # Monta matriz D de adjacências
Di = []
for v in grafo.vertices:
Di.append(grafo.peso(u, v))
D.append(Di)
for ki, k in enumerate(grafo.vertices): # Executa o algoritmo
for ui, u in enumerate(grafo.vertices):
for vi, v in enumerate(grafo.vertices):
# Tenta inserir vértice k no caminho entre u e v
D[ui][vi] = min(D[ui][vi], D[ui][ki] + D[ki][vi])
printSolution(D)
| [
"eduardolussi@gmail.com"
] | eduardolussi@gmail.com |
d425739853edd3970661241960467b810be5829e | ab5731ae6e190a9b44b1cddbd11af89277302de9 | /read_json/data_json.py | 686c168a2ed574d935bcf65b3bbd202919f755d4 | [] | no_license | MachineLP/py_workSpace | e532781aab51c54a87602c387acd3199f9a75140 | 7937f3706e8d2d8a0e25ba0648bee6d1fcb27234 | refs/heads/master | 2021-08-29T02:56:02.415509 | 2021-08-23T10:38:59 | 2021-08-23T10:38:59 | 117,516,956 | 22 | 18 | null | null | null | null | UTF-8 | Python | false | false | 607 | py | # -*- coding: utf-8 -*-
"""
Created on 2017 10.17
@author: liupeng
"""
import sys
import numpy as np
import json as js
class load_image_from_json(object):
def __init__(self, json_file):
self.json_file = json_file
def __del__(self):
pass
def js_load(self):
f = open(self.json_file, 'r')
js_data = js.load(f)
return js_data
if __name__ == "__main__":
all_data = load_image_from_json('0(6015).json').js_load()
for data in all_data:
print (data['image_id'])
print (data['keypoint']['human1']) | [
"noreply@github.com"
] | MachineLP.noreply@github.com |
5ef7b4cea460a62d8436af126e6c3999e86174ac | fca84273984ec2805817caa4a3de34862a6a6d1c | /pytorch/convert_tf_checkpoint_to_pytorch.py | 3ecaab0f9e118820ac7c7b346251eda933a9e3dd | [
"Apache-2.0",
"LicenseRef-scancode-public-domain"
] | permissive | whaleloops/bert | a2fb5fdb785328630379965dcae3efe63608021f | 33804ccd32e6b1599629ceaf7bdaef7916c05270 | refs/heads/master | 2020-04-04T11:02:02.191243 | 2019-01-07T21:31:15 | 2019-01-07T21:31:15 | 155,876,385 | 0 | 0 | Apache-2.0 | 2018-11-02T14:21:36 | 2018-11-02T14:21:35 | null | UTF-8 | Python | false | false | 5,475 | py | # coding=utf-8
# Copyright 2018 The HugginFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Convert BERT checkpoint."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import re
import argparse
import numpy as np
def fullmatch(regex, string, flags=0):
"""Emulate python-3.4 re.fullmatch()."""
return re.match("(?:" + regex + r")\Z", string, flags=flags)
def convert_tf_checkpoint_to_tmp(tf_checkpoint_path, bert_config_file):
import tensorflow as tf
import pickle
config_path = os.path.abspath(bert_config_file)
tf_path = os.path.abspath(tf_checkpoint_path)
print("Converting TensorFlow checkpoint from {} with config at {}".format(tf_path, config_path))
# Load weights from TF model TODO
init_vars = tf.train.list_variables(tf_path)
names = []
arrays = []
for name, shape in init_vars:
print("Loading TF weight {} with shape {}".format(name, shape))
array = tf.train.load_variable(tf_path, name)
names.append(name)
arrays.append(array)
with open("tmp_names", "wb") as fp: #Pickling
pickle.dump(names, fp)
with open("tmp_arrays", "wb") as fp: #Pickling
pickle.dump(arrays, fp)
def convert_tmp_to_pytorch(bert_config_file, pytorch_dump_path):
import torch
from modeling import BertConfig, BertForPreTraining
import pickle
with open("tmp_names", "rb") as fp: # Unpickling
# names = pickle.load(fp, encoding='iso-8859-1')
names = pickle.load(fp)
with open("tmp_arrays", "rb") as fp: # Unpickling
# arrays = pickle.load(fp, encoding='iso-8859-1')
arrays = pickle.load(fp)
# Initialise PyTorch model
config = BertConfig.from_json_file(bert_config_file)
print("Building PyTorch model from configuration: {}".format(str(config)))
model = BertForPreTraining(config)
for name, array in zip(names, arrays):
name = name.split('/')
# adam_v and adam_m are variables used in AdamWeightDecayOptimizer to calculated m and v
# which are not required for using pretrained model
if name[-1] in ["adam_v", "adam_m", 'global_step']:
print("Skipping {}".format("/".join(name)))
continue
pointer = model
for m_name in name:
if fullmatch(r'[A-Za-z]+_\d+', m_name):
# if re.fullmatch(r'[A-Za-z]+_\d+', m_name):
l = re.split(r'_(\d+)', m_name)
else:
l = [m_name]
if l[0] == 'kernel':
pointer = getattr(pointer, 'weight')
elif l[0] == 'output_bias':
pointer = getattr(pointer, 'bias')
elif l[0] == 'output_weights':
pointer = getattr(pointer, 'weight')
else:
pointer = getattr(pointer, l[0])
if len(l) >= 2:
num = int(l[1])
pointer = pointer[num]
if m_name[-11:] == '_embeddings':
pointer = getattr(pointer, 'weight')
elif m_name == 'kernel':
array = np.transpose(array)
try:
assert pointer.shape == array.shape
except AssertionError as e:
e.args += (pointer.shape, array.shape)
raise
print("Initialize PyTorch weight {}".format(name))
pointer.data = torch.from_numpy(array)
# Save pytorch-model
print("Save PyTorch model to {}".format(pytorch_dump_path))
torch.save(model.state_dict(), pytorch_dump_path)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
## Required parameters
parser.add_argument("--tf_checkpoint_path",
default = None,
type = str,
required = True,
help = "Path the TensorFlow checkpoint path.")
parser.add_argument("--bert_config_file",
default = None,
type = str,
required = True,
help = "The config json file corresponding to the pre-trained BERT model. \n"
"This specifies the model architecture.")
parser.add_argument("--pytorch_dump_path",
default = None,
type = str,
required = True,
help = "Path to the output PyTorch model.")
parser.add_argument("--mode",
default = None,
type = int,
required = True,
help = "which step to take")
args = parser.parse_args()
if args.mode==0:
convert_tf_checkpoint_to_tmp(args.tf_checkpoint_path,
args.bert_config_file)
else:
convert_tmp_to_pytorch(args.bert_config_file,
args.pytorch_dump_path) | [
"yzc315@qq.com"
] | yzc315@qq.com |
a7bdff8f69ddd94725909603406c96e8774ecbfa | ae2308622f2801e78ee4348fba2c650dcec5f340 | /venv/lib/python3.6/site-packages/alembic/util/compat.py | d0e6672c5cf2ba19788dd6906357214507873138 | [] | no_license | formika92/PyQtApp | 425e49923312b35ef549ef58e8bf73361a54018d | 460c6ba336fdb964d208585b3afab0d3ad829ea0 | refs/heads/main | 2023-08-01T05:33:29.130245 | 2021-09-12T13:22:50 | 2021-09-12T13:22:50 | 403,931,964 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 994 | py | import io
import os
import sys
from sqlalchemy.util import inspect_getfullargspec # noqa
from sqlalchemy.util.compat import inspect_formatargspec # noqa
is_posix = os.name == "posix"
py39 = sys.version_info >= (3, 9)
py38 = sys.version_info >= (3, 8)
py37 = sys.version_info >= (3, 7)
string_types = (str,)
binary_type = bytes
text_type = str
# produce a wrapper that allows encoded text to stream
# into a given buffer, but doesn't close it.
# not sure of a more idiomatic approach to this.
class EncodedIO(io.TextIOWrapper):
def close(self) -> None:
pass
if py39:
from importlib import resources as importlib_resources
else:
import importlib_resources # noqa
if py38:
from importlib import metadata as importlib_metadata
else:
import importlib_metadata # noqa
def importlib_metadata_get(group):
ep = importlib_metadata.entry_points()
if hasattr(ep, "select"):
return ep.select(group=group)
else:
return ep.get(group, ())
| [
"formika92@gmail.com"
] | formika92@gmail.com |
dcb7f041c57fee79d04bba5bbd702f3f2f745b55 | d304239374ec8a8da2ac961d9cd00e5446536c3d | /KodleAI3.py | caa556dd8ec586df67ac965e7931bf560a9d9d5c | [
"MIT"
] | permissive | Zahidsqldba07/CodinGame_GitC | c4f010a7c737458c1860d5782d9d8bded6b8c9b8 | f55db74dc53d8f2e8d71bc652dc792e6d005adf2 | refs/heads/master | 2023-03-16T15:51:48.940119 | 2018-05-01T05:15:18 | 2018-05-01T05:15:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 62,000 | py | import sys
import math
import random
###################
# Debugging Flags #
###################
MSG_CONTENT = ""
MSG_MAXLEN = 42
MSG_RATE = 12
MSG_RANDIDX = -1
MSG_DELAY = MSG_MAXLEN
MSG_START = 0
MSG_END = MSG_MAXLEN
MSG_OUTPUT = True
SHOW_RESOLUTION = False
SHOW_ENEMY_ATTACKS = False
#########################
# Hitchhiker's Guide :O #
#########################
HITCHHIKER_GALAXY_QUOTES = ['Many were increasingly of the opinion that they\xe2\x80\x99d all made a big mistake in coming down from the trees in the first place. And some said that even the trees had been a bad move, and that no one should ever have left the oceans.', '\xe2\x80\x9cMy doctor says that I have a malformed public-duty gland and a natural deficiency in moral fibre,\xe2\x80\x9d Ford muttered to himself, \xe2\x80\x9cand that I am therefore excused from saving Universes.\xe2\x80\x9d', 'Isn\xe2\x80\x99t it enough to see that a garden is beautiful without having to believe that there are fairies at the bottom of it too?', 'A common mistake that people make when trying to design something completely foolproof is to underestimate the ingenuity of complete fools.', 'Curiously enough, the only thing that went through the mind of the bowl of petunias as it fell was Oh no, not again. Many people have speculated that if we knew exactly why the bowl of petunias had thought that we would know a lot more about the nature of the Universe than we do now.', 'The reason why it was published in the form of a micro sub meson electronic component is that if it were printed in normal book form, an interstellar hitchhiker would require several inconveniently large buildings to carry it around in.', '\xe2\x80\x9cForty-two,\xe2\x80\x9d said Deep Thought, with infinite majesty and calm.', 'Not unnaturally, many elevators imbued with intelligence and precognition became terribly frustrated with the mindless business of going up and down, up and down, experimented briefly with the notion of going sideways, as a sort of existential protest, demanded participation in the decision-making process and finally took to squatting in basements sulking.', 'Make it totally clear that this gun has a right end and a wrong end. Make it totally clear to anyone standing at the wrong end that things are going badly for them. If that means sticking all sort of spikes and prongs and blackened bits all over it then so be it. This is not a gun for hanging over the fireplace or sticking in the umbrella stand, it is a gun for going out and making people miserable with.', 'In the end, it was the Sunday afternoons he couldn\xe2\x80\x99t cope with, and that terrible listlessness that starts to set in about 2:55, when you know you\xe2\x80\x99ve taken all the baths that you can usefully take that day, that however hard you stare at any given paragraph in the newspaper you will never actually read it, or use the revolutionary new pruning technique it describes, and that as you stare at the clock the hands will move relentlessly on to four o\xe2\x80\x99clock, and you will enter the long dark teatime of the soul.', 'He gazed keenly into the distance and looked as if he would quite like the wind to blow his hair back dramatically at that point, but the wind was busy fooling around with some leaves a little way off.', 'He hoped and prayed that there wasn\xe2\x80\x99t an afterlife. Then he realized there was a contradiction involved here and merely hoped that there wasn\xe2\x80\x99t an afterlife.', '\xe2\x80\x9cIt seemed to me,\xe2\x80\x9d said Wonko the Sane, \xe2\x80\x9cthat any civilization that had so far lost its head as to need to include a set of detailed instructions for use in a packet of toothpicks, was no longer a civilization in which I could live and stay sane.\xe2\x80\x9d', '\xe2\x80\x9cNothing travels faster than the speed of light with the possible exception of bad news, which obeys its own special laws.\xe2\x80\x9d', 'Protect me from knowing what I don\xe2\x80\x99t need to know. Protect me from even knowing that there are things to know that I don\xe2\x80\x99t know. Protect me from knowing that I decided not to know about the things that I decided not to know about. Amen.', 'All you really need to know for the moment is that the universe is a lot more complicated than you might think, even if you start from a position of thinking it\xe2\x80\x99s pretty damn complicated in the first place.', 'In the beginning the Universe was created. This has made a lot of people very angry and been widely regarded as a bad move.', 'Don\xe2\x80\x99t Panic.', 'Don\xe2\x80\x99t Panic.']
#######################
# Behavioural Toggles #
#######################
SIMULATE_ENEMY = True
########################
# Behavioural Controls #
########################
MAP_RUSH_SIZE = 13
BOMB_SCORE_THRESHOLD = 0.57
BOMB_SCORE_THRESHOLD_LARGE = 1.03
MAX_LINK_DISTANCE = 7
ENEMY_MAX_LINK = 5
# Game Statics
MAX_INT = 65535
FACTORY_UPGRADE_COST = 10
BOMB_PRODUCTION_COOLDOWN = 5
# Target Scoring Constants
PRODUCTION_MULTIPLIER = 10
BOMB_TROOP_THRESHOLD = 25
# Movement Constants
TROOP_OFFENSIVE = 1.00 # Sends this % of troops against superior enemies
TROOP_DEFENSIVE = 1.00 # Sends this % of troops to reinforce friendly targets
TROOP_OFFENSIVE_MULTIPLIER = 1.17
TROOP_EXCESS_NEUTRAL = 1
TROOP_EXCESS_ENEMY = 1
ENEMY_OFFENSIVE = 1.53 # How offensive is the enemy
ENEMY_DEFENSIVE = 1.00 # How defensive is the enemy
ENEMY_EXCESS_NEUTRAL = 1
ENEMY_EXCESS_ENEMY = 1
# Game Variables
NUM_FACTORIES = 0
GAME_TURNS = 0
INITIAL_FACTORY = -1
INITIAL_FACTORY_ENEMY = -1
FRONTLINE_FACTORY = -1
FRONTLINE_DISTANCE = MAX_INT
CYBORGS_OWN = 0
CYBORGS_ENEMY = 0
num_bombs = 2
# Map Variables
adjList = [] # Adjacency List ordered by shortest distance
adjMatrix = [] # Adjacency Matrix
factoryInfo = [] # Information regarding each factory
troopInfo = [] # Packets for each troop movement
bombInfo = [] # Packets for each bomb movement
# Floyd-Warshall APSP matrix with backtracking
floydWarMatrix = [] # Store shortest distance
floydWarPath = [] # Stores complete path to objective
floydWarNext = [] #TODO: Optimization --> Stores next target?
# Simulation for next n turns
SIMUL_TURNS = 21
simulFac = [] # Simulated Factories for attack options
# Actions
turnMoves = [] # Commands for current turn
turnBombs = [] # Commands to send bombs
turnIncs = [] # Commands to upgrade factories
turnOne = True # Selector for initialization turn events
# Helper Functions
def readMaxAvailTroops(simulStates):
# if (simulStates[0].production == 0): # Non-production factory
# return (simulStates[0].troops, 0)
turn = 0
ttt = MAX_INT
availTroops = MAX_INT
# Decide whether factory has been overrun
if (simulStates[-1].owner == -1): # Overrun by enemy
enProducedTroops = 0
enProduction = simulStates[-1].production
enFinalTroops = simulStates[-1].troops
for i in range(2, len(simulStates)):
if (simulStates[-i].owner == -1):
if (simulStates[-i].cooldown <=0):
enProducedTroops += enProduction
ttt = len(simulStates)-i
else:
break
availTroops = enFinalTroops - enProducedTroops
availTroops = -availTroops
else:
for state in simulStates:
curTroops = state.troops if (state.owner == 1) else -state.troops
if (curTroops < availTroops and ((turn < ttt) if availTroops < 0 else True)):
availTroops = curTroops
ttt = turn
turn += 1
return (availTroops, ttt)
def readMaxEnemyTroops(simulStates):
# if (simulStates[0].production == 0): # Non-production factory
# return (simulStates[0].troops, 0)
turn = 0
ttt = MAX_INT
availTroops = MAX_INT
# Decide whether factory has been overrun
if (simulStates[-1].owner == 1): # Overrun by enemy
enProducedTroops = 0
enProduction = simulStates[-1].production
enFinalTroops = simulStates[-1].troops
for i in range(2, len(simulStates)):
if (simulStates[-i].owner == -1):
enProducedTroops += enProduction
ttt = len(simulStates)-i
else:
break
availTroops = enFinalTroops - enProducedTroops
availTroops = -availTroops
else:
for state in simulStates:
curTroops = state.troops if (state.owner == -1) else -state.troops
if (curTroops < availTroops and ((turn < ttt) if availTroops < 0 else True)):
availTroops = curTroops
ttt = turn
turn += 1
return (availTroops, ttt)
# Decision Making
def scoreTarget(tgtID, curID):
distanceMultiplier = (float)(1.0/max(1,(adjMatrix[curID][tgtID]**2)))
score = 0
score += 7 if factoryInfo[tgtID].troops < factoryInfo[curID].troops else 0
score += factoryInfo[tgtID].production*PRODUCTION_MULTIPLIER*distanceMultiplier # Rewards production
score -= max(5, factoryInfo[tgtID].troops*0.5)*distanceMultiplier # Penalizes troops
# print("{0} Score: {1}".format(tgtID, score), file=sys.stderr)
return score
def scoreRedistribution(tgtID, curID, closestEnemyDistance):
score = closestEnemyDistance
# distanceMultiplier = (float)(1.0/max(1,closestEnemyDistance)**2)
# score = 0
# score += 7 if factoryInfo[tgtID].troops < factoryInfo[curID].troops else 0
# score += factoryInfo[tgtID].production*PRODUCTION_MULTIPLIER*distanceMultiplier # Rewards production
# score -= max(5, factoryInfo[tgtID].troops*0.5)*distanceMultiplier # Penalizes troops
# print("{0} Score: {1}".format(tgtID, score), file=sys.stderr)
return score
def scoreBomb(tgtID, curID, resolutions):
if (tgtID == curID):
return 0
targetStates = resolutions[tgtID]
ttt = adjMatrix[curID][tgtID]+1
tttState = targetStates[ttt]
distanceMultiplier = (float)(1.0/max(1,(ttt**2)))
# print("Dist Mult: {0} | ttt: {1}".format(distanceMultiplier, ttt), file=sys.stderr)
score = 0
score += tttState.production*PRODUCTION_MULTIPLIER*distanceMultiplier # Rewards production
# print("Production score: {0}".format(score), file=sys.stderr)
score += max(10, tttState.troops)*distanceMultiplier # Rewards troops
# print("{0} Score: {1}".format(tgtID, score), file=sys.stderr)
return score
def should_bomb(tgtID, curID, resolutions):
# print("Testing target Factory {0}:".format(tgtID), file=sys.stderr)
if (tgtID == curID):
return False
targetStates = resolutions[tgtID]
ttt = adjMatrix[curID][tgtID]+1
tttState = targetStates[ttt]
# print("Ttt state: Owner->{0} | Troops->{1} | Production->{2}".format(tttState.owner, tttState.troops, tttState.production), file=sys.stderr)
if (tttState.owner != -1):
return False
if (num_bombs < 1):
return False
if (tttState.troops > BOMB_TROOP_THRESHOLD):
return True
if (tttState.production > 2):
return True
return False
def should_reinforce(facID):
if (factoryInfo[facID].owner != 1):
return False
if (factoryInfo[facID].troops < 1):
return False
if (factoryInfo[facID].production < 3):
return False
return True
def needed_upgradeTroops(curFac, tgtFac, resolutions):
ttt = floydWarMatrix[curFac.ID][tgtFac.ID]+1
arrivalState = resolutions[tgtFac.ID][ttt]
if (arrivalState.owner == -1 and arrivalState.troops > 0):
return -1
if (arrivalState.production < 3):
requestTroops = FACTORY_UPGRADE_COST - (arrivalState.troops if arrivalState.owner == 1 else -arrivalState.troops)
if (requestTroops > 0):
return requestTroops
return -1
def needed_reinforcements(ttt, availTroops, resolution):
arrivalState = resolution[ttt]
print("State: Owner->{0} | Troops->{1}".format(arrivalState.owner, arrivalState.troops), file=sys.stderr)
if (arrivalState.production < 1): #TODO: Do not reinforce no production factories?
return -1
#TODO: Will be in time to reinforce?
requestTroopsTup = readMaxAvailTroops(resolution)
requestTroops = requestTroopsTup[0] # Reads how many troops needed
requestTurn = requestTroopsTup[1] # Reads when it is needed
print("Requested troops: {0} by turn: {1}".format(requestTroops, requestTurn), file=sys.stderr)
if (requestTroops < 0):
return min(availTroops, -requestTroops)
return -1
def simulateEnemySmart(enemyFac, resolutions):
# Storing enemy movements
actions = []
# Simulate enemy attacks
if (enemyFac.troops < 1):
return actions
curTroops = min(enemyFac.troops, readMaxEnemyTroops(resolutions[enemyFac.ID])[0])
if (SHOW_ENEMY_ATTACKS):
print("Simulating enemy attacks from Factory {0}|Current Troops: {1}".format(enemyFac.ID, curTroops), file=sys.stderr)
validTargets = []
for adj in range(NUM_FACTORIES):
ignore = False
targetFac = factoryInfo[adj]
# Filters targets and add some to valid target list
if (targetFac.owner == -1):
ignore = True # Ignore 'own' factories
else:
if (targetFac.production == 0):
ignore = True # Ignores factories that do not give production
# Adds valid targets
if (ignore):
continue
else:
validTargets.append(targetFac)
# Naive case: no cyborgs!
for targetFac in validTargets:
if (curTroops < 1):
return actions
if (targetFac.troops == 0 and targetFac.owner == 0):
actions.append(MOVE([enemyFac.ID, targetFac.ID, 1]))
curTroops -= 1
# Weighs targets
weightedTargets = []
for targetFac in validTargets:
weightedTargets.append((targetFac, scoreTarget(targetFac.ID, enemyFac.ID)))
weightedTargets = sorted(weightedTargets, key=lambda x: x[1], reverse=True)
# Attacks targets in weighted order
for targetTup in weightedTargets:
if (curTroops < 1):
return actions
targetFac = targetTup[0]
targetStates = resolutions[targetFac.ID]
ttt = adjMatrix[enemyFac.ID][targetFac.ID]+1
# Do not simulate enemy movements beyond immediacy
if (ttt > ENEMY_MAX_LINK):
continue
tttState = targetStates[ttt]
if (SHOW_ENEMY_ATTACKS):
print("Enemy attacking: {0}".format(targetFac.ID), file=sys.stderr)
targetAttack = False
targetTroops = 0
# Determines how many troops to send
if (tttState.owner == 0):
targetTroops = int((tttState.troops+ENEMY_EXCESS_NEUTRAL)*ENEMY_OFFENSIVE)
if (targetTroops <= curTroops):
targetAttack = True
elif (tttState.owner == 1):
targetTroops = int((tttState.troops+ENEMY_EXCESS_ENEMY)*ENEMY_OFFENSIVE)
if (targetTroops <= curTroops):
targetAttack = True
else:
targetTroops = curTroops
targetAttack = True
# Issues attack command if available
if (targetAttack):
originID = enemyFac.ID
targetID = targetFac.ID
closestIntermediate = floydWarPath[enemyFac.ID][targetFac.ID][0]
if (closestIntermediate != -1):
targetID = closestIntermediate
actions.append(MOVE([originID, targetID, targetTroops]))
if (SHOW_ENEMY_ATTACKS):
print(actions[-1].printCmd(), file=sys.stderr)
curTroops -= targetTroops
return actions
# Classes
class FactoryMsg(object):
def __init__(self, entityID, args):
self.ID = entityID
self.owner = args[0]
self.troops = args[1]
self.production = args[2]
self.cooldown = args[3]
def updateOwnership(self):
if (self.troops < 0):
self.owner *= -1
self.troops = abs(self.troops)
class TroopMsg(object):
def __init__(self, entityID, args):
self.ID = entityID
self.owner = args[0]
self.origin = args[1]
self.target = args[2]
self.size = args[3]
self.ttt = args[4]
def isEnemy(self):
return (self.owner == -1)
class BombMsg(object):
def __init__(self, entityID, args):
self.ID = entityID
self.owner = args[0]
self.origin = args[1]
self.target = args[2]
self.ttt = args[3]
def isEnemy(self):
return (self.owner == -1)
class Action(object):
def __init__(self, entityType):
self.form = entityType
self.origin = -1
self.target = -1
self.size = -1
def isMove(self):
return (self.form == "MOVE")
class MOVE(Action):
def __init__(self, args):
Action.__init__(self, "MOVE")
self.origin = int(args[0])
self.target = int(args[1])
self.size = int(args[2])
def printCmd(self):
return "MOVE {0} {1} {2}".format(self.origin, self.target, self.size)
class BOMB(Action):
def __init__(self, args):
Action.__init__(self, "BOMB")
self.origin = int(args[0])
self.target = int(args[1])
def printCmd(self):
return "BOMB {0} {1}".format(self.origin, self.target)
class INC(Action):
def __init__(self, args):
Action.__init__(self, "INC")
self.origin = int(args[0])
def printCmd(self):
return "INC {0}".format(self.origin)
class FactorySimulation(object):
def __init__(self, facID, args):
self.ID = facID
self.owner = int(args[0])
self.troops = int(args[1])
self.production = int(args[2])
self.cooldown = int(args[3])
def tick(self):
if (self.cooldown > 0):
self.cooldown -= 1
if (self.owner != 0 and self.cooldown <= 0):
self.troops += self.production
def bombed(self):
self.troops -= 0.5*self.troops if 0.5*self.troops > 10 else self.troops
self.cooldown = BOMB_PRODUCTION_COOLDOWN
def procPacket(self, packet):
if (packet.owner == self.owner):
self.troops += packet.size
else:
self.troops -= packet.size
if (self.troops < 0):
self.troops = abs(self.troops)
self.owner = packet.owner
class Factory(object):
def __init__(self, facID):
self.ID = facID
self.owner = 0
self.troops = 0
self.production = 0
self.cooldown = 0
self.incomming = []
self.outgoing = [] #TODO: not necessary? since outgoing == incomming somewhere else
self.actions = []
self.blacklist = [] # Blacklisted enemy targets
self.TROOP_OFFENSIVE = TROOP_OFFENSIVE # Local threshold
self.TROOP_DEFENSIVE = TROOP_DEFENSIVE # Local threshold
def tick(self):
del self.incomming[:]
del self.outgoing[:]
del self.actions[:]
del self.blacklist[:]
def update(self, args):
self.owner = args[0]
self.troops = args[1]
self.production = args[2]
self.cooldown = args[3]
def updateBlacklist(self, argList):
self.blacklist = argList
def pushIncomming(self, packet):
self.incomming.append(packet)
def delIncomming(self, packetID):
idList = [pack.ID for pack in self.incomming]
if (packetID not in idList): # Error, packet not found
return False
else:
del self.incomming[idList.index(packetID)]
return True
def getAvailTroops(self, simulStates):
curTroops = min(self.troops, readMaxAvailTroops(simulStates[self.ID])[0])
return curTroops
def closestEnemy(self):
nearestFactory = -1
nearestDistance = MAX_INT
for facID in range(NUM_FACTORIES):
if (adjMatrix[self.ID][facID] < nearestDistance and factoryInfo[facID].owner == -1):
nearestDistance = adjMatrix[self.ID][facID]
nearestFactory = facID
if (nearestFactory != -1):
return (nearestFactory, nearestDistance)
else:
return (nearestFactory, MAX_INT)
def closestFriendly(self):
nearestFactory = -1
nearestDistance = MAX_INT
for facID in range(NUM_FACTORIES):
if (facID == self.ID):
continue
if (adjMatrix[self.ID][facID] < nearestDistance and factoryInfo[facID].owner == 1):
nearestDistance = adjMatrix[self.ID][facID]
nearestFactory = facID
if (nearestFactory != -1):
return (nearestFactory, nearestDistance)
else:
return (nearestFactory, MAX_INT)
def viable_upgrade(self, resolution, prevUpgrades):
updatedResolutions = []
# Builds updated states for next FACTORY_UPGRADE_COST turns
for i in range(min(SIMUL_TURNS, FACTORY_UPGRADE_COST)):
curState = resolution[i]
newState = FactoryMsg(curState.ID, [curState.owner, curState.troops, curState.production, curState.cooldown])
newState.troops = curState.troops - FACTORY_UPGRADE_COST*(prevUpgrades+1) + i*(prevUpgrades+1)
newState.updateOwnership()
updatedResolutions.append(newState)
# Checks for viability given an upgrade
for state in updatedResolutions:
if (state.owner != 1):
return False
return True
'''
Simulation function
- Takes incomming troop packets
- Runs turn-by-turn simulation
- Outputs an array of states for SIMUL_TURNS turns
'''
def resolve(self): #TODO: Huge function, simulates game till last troop packet arrives
# Generates array to store simulation
curState = FactorySimulation(self.ID, (self.owner, self.troops, self.production, self.cooldown))
simulMap = []
packetIdx = 0
# If there's no contention, extend current state
if (len(self.incomming) == 0):
for turn in range(SIMUL_TURNS):
# Ticks cooldown timer and produces troops
if (turn > 0):
curState.tick()
# Explodes bombs
for bomb in bombInfo:
if (bomb.owner == 1 and bomb.target == self.ID and bomb.ttt < 1):
curState.bombed()
# Stores current turn simulated result
args = (curState.owner, curState.troops, curState.production, curState.cooldown)
facState = FactoryMsg(self.ID, args)
simulMap.append(facState)
# Computes a turn-by-turn simulation upon this factory
else:
self.incomming = sorted(self.incomming, key=lambda x: x.ttt) # Sort by time to target
# Simulates ownership for SIMUL_TURNS turns
# print("Starting resolution for Factory {0}...".format(self.ID), file=sys.stderr)
for turn in range(SIMUL_TURNS):
# Produces Units
if (turn > 0):
curState.tick()
# Resolves Battles
curTtt = 0
tttPackets = []
while (packetIdx < len(self.incomming) and self.incomming[packetIdx].ttt <= turn):
# print("Turn {0}:".format(turn), file=sys.stderr)
# print("Packet: Owner->{0} | Troops->{1}".format(self.incomming[packetIdx].owner, self.incomming[packetIdx].size), file=sys.stderr)
# print("Current Troops in Factory: {0}".format(curState.troops), file=sys.stderr)
#BUG_FIX: Resolves all packets comming at the same time prior to resolving to curState
if (self.incomming[packetIdx].ttt > curTtt):
curTtt = self.incomming[packetIdx].ttt
# Process last ttt's list of packets
if (len(tttPackets) == 1): # Only 1 packet
curState.procPacket(tttPackets[-1])
del tttPackets[:]
elif (len(tttPackets) > 1):
curTroops = 0
for packet in tttPackets:
if (packet.owner == 1):
curTroops += packet.size
else:
curTroops -= packet.size
curOwner = 1 if curTroops > 0 else -1
args = (curOwner, tttPackets[-1].origin, self.ID, abs(curTroops), 0)
newPacket = TroopMsg((random.randint(2,100)*-100), args)
curState.procPacket(newPacket)
del tttPackets[:]
if (self.incomming[packetIdx].ttt == curTtt):
tttPackets.append(self.incomming[packetIdx])
# print("Resolved Troops in Factory: {0}".format(curState.troops), file=sys.stderr)
packetIdx += 1
# Process the last turn's packets
if (len(tttPackets) == 1): # Only 1 packet
curState.procPacket(tttPackets[-1])
del tttPackets[:]
elif (len(tttPackets) > 1):
curTroops = 0
for packet in tttPackets:
if (packet.owner == 1):
curTroops += packet.size
else:
curTroops -= packet.size
curOwner = 1 if curTroops > 0 else -1
args = (curOwner, tttPackets[-1].origin, self.ID, abs(curTroops), 0)
newPacket = TroopMsg((random.randint(2,100)*-100), args)
curState.procPacket(newPacket)
del tttPackets[:]
# Explodes bombs
for bomb in bombInfo:
#BUG_FIX: bomb.ttt < 1 ==> turn >= bomb.ttt
if (bomb.owner == 1 and bomb.target == self.ID and turn >= bomb.ttt):
curState.bombed()
# Stores current turn simulated result
args = (curState.owner, curState.troops, curState.production, curState.cooldown)
facState = FactoryMsg(self.ID, args)
simulMap.append(facState)
#DEBUG: Prints out states of each turn
if (SHOW_RESOLUTION):
print("======================\nResolved Factory {0}:\n======================".format(self.ID), file=sys.stderr)
print("Initial Troop count: {0}".format(self.troops), file=sys.stderr)
for i in range(7):
print("Step {0}: Owner->{1} | Troops->{2} | Production->{3} | Cooldown->{4}".format(i, simulMap[i].owner, simulMap[i].troops, simulMap[i].production, simulMap[i].cooldown), file=sys.stderr)
print("Max Available Units: {0}".format(readMaxAvailTroops(simulMap)[0]), file=sys.stderr)
print("Turns before being overrun: {0}".format(readMaxAvailTroops(simulMap)[1]), file=sys.stderr)
return simulMap # Outputs list of simulated factory state tuples
'''
Reinforce function
- Takes a list of targets to be reinforced
- Weighs targets
- Sends reinforcements if available
'''
def reinforce(self, simulStates): #TODO: How to bring troops to the front?
curTroops = min(self.troops, readMaxAvailTroops(simulStates[self.ID])[0])
print("Factory {0} Reinforcing...|Current Troops: {1}".format(self.ID, curTroops), file=sys.stderr)
if (curTroops < 1):
return self.actions
# Get connected friendly reinforcible factories
adjMyFactories = [facTup[0] for facTup in adjList[self.ID] if (factoryInfo[facTup[0]].owner == 1)]
# Weighs targets
weightedTargets = []
for target in adjMyFactories:
weightedTargets.append((target, scoreRedistribution(target, self.ID, factoryInfo[target].closestEnemy()[1])))
weightedTargets = sorted(weightedTargets, key=lambda x: x[1], reverse=True)
# Reinforces targets in weighted order
for targetTup in weightedTargets:
if (curTroops < 1):
self.troops = curTroops
return self.actions
target = targetTup[0]
ttt = floydWarMatrix[self.ID][target]+1
print("Reinforcing factory {0}:".format(target), file=sys.stderr)
requestTroops = needed_reinforcements(ttt, curTroops, simulStates[target])
if (requestTroops < 0):
continue
self.actions.append(MOVE([self.ID, target, requestTroops]))
print(self.actions[-1].printCmd(), file=sys.stderr)
curTroops -= requestTroops
self.troops = curTroops
return self.actions
'''
Attack function
- Prioritizes Upgrade if base will not get overrun in the future
- Gets a list of valid targets (enemy + neutrals) not in blacklist
- Weigh valid targets
- Issues attack commands by priority of weight
'''
def attack(self, simulStates): #TODO: Where to upgrade factories??
if (self.production == 0 and self.ID != INITIAL_FACTORY):
self.TROOP_OFFENSIVE = 1
self.TROOP_DEFENSIVE = 1
else:
self.TROOP_OFFENSIVE = TROOP_OFFENSIVE
self.TROOP_DEFENSIVE = TROOP_DEFENSIVE
curTroops = min(self.troops, readMaxAvailTroops(simulStates[self.ID])[0])
print("Factory {0}|Current Troops: {1}".format(self.ID, curTroops), file=sys.stderr)
if (curTroops < 1):
self.troops = curTroops
return self.actions
validTargets = []
for adj in adjList[self.ID]:
ignore = False
targetFac = factoryInfo[adj[0]]
targetStates = simulStates[adj[0]]
ttt = floydWarMatrix[self.ID][targetFac.ID]+1
# print("Evaluating target Factory: {0}".format(adj[0]), file=sys.stderr)
# Filters targets and add some to valid target list
if (targetStates[ttt].owner == 1):
# print("IGNORE -> Owned", file=sys.stderr)
ignore = True # Ignore our own factories (no attack necessary)
else:
if (targetFac.production == 0):
# print("IGNORE -> Production 0", file=sys.stderr)
ignore = True # Ignore factories that do not give production
# Ignores blacklisted targets
if (targetFac.ID in self.blacklist):
# print("IGNORE -> Blacklisted", file=sys.stderr)
ignore = True
# Adds valid targets
if (ignore):
continue
else:
# print("VALID! :)", file=sys.stderr)
validTargets.append(targetFac)
# Naive case: no cyborgs!
for targetFac in validTargets:
if (curTroops < 1):
self.troops = curTroops
return self.actions
ttt = floydWarMatrix[self.ID][targetFac.ID]+1
targetState = simulStates[targetFac.ID][ttt]
if (targetState.troops == 0 and targetState.owner == 0):
self.actions.append(MOVE([self.ID, targetFac.ID, 1]))
print(self.actions[-1].printCmd(), file=sys.stderr)
curTroops -= 1
targetFac = None #TODO: Removes target from list?
validTargets = [fac for fac in validTargets if fac != None] # Removes None-types
#TODO: Ad-Hoc upgrades (temporary)
upgradeFactory = True
curProduction = self.production
upgrades = 0
#EXPERIMENTAL: Don't too aggressively upgrade factories close to the enemy
adjFriendlyTup = self.closestFriendly()
adjEnemyTup = self.closestEnemy()
# if (adjFriendlyTup[0] == -1): # Initial Factory or only factory
# if (adjEnemyTup[0] != -1):
# if (adjEnemyTup[1] < MAP_RUSH_SIZE):
# upgradeFactory = False
if (adjFriendlyTup[0] != -1 and adjEnemyTup[0] != -1):
# print("Testing viability for upgrade based on distance to enemy", file=sys.stderr)
# print("Distance to friendly factory {0}: {1} | Distance to enemy factory {2}: {3}".format(adjFriendlyTup[0], adjFriendlyTup[1], adjEnemyTup[0], adjEnemyTup[1]), file=sys.stderr)
if (adjEnemyTup[1] <= adjFriendlyTup[1] and (CYBORGS_OWN - CYBORGS_ENEMY) < FACTORY_UPGRADE_COST):
upgradeFactory = False
# Decides suitability for upgrading
while (upgradeFactory):
# Safety check for troops available
if (curTroops < FACTORY_UPGRADE_COST):
upgradeFactory = False
# Disables upgrades if nearby neutral exists with production
# On the condition that one can take it
# And such a move would bring about more overall units than upgrading
neutralFactories = []
for targetFac in validTargets:
targetStates = simulStates[targetFac.ID]
ttt = floydWarMatrix[self.ID][targetFac.ID]+1
tttState = targetStates[ttt]
if (tttState.owner == 0 and tttState.production > 0):
tttDiff = FACTORY_UPGRADE_COST - ttt
if (tttDiff < 0 or tttState.production*tttDiff > FACTORY_UPGRADE_COST and tttState.troops < curTroops):
neutralFactories.append(targetFac.ID)
if (len(neutralFactories) > 0):
upgradeFactory = False
# Checks conditions for an upgrade
if (curProduction == 3 or not self.viable_upgrade(simulStates[self.ID], upgrades)):
upgradeFactory = False
# Upgrades Current Factory
if (upgradeFactory):
upgrades += 1
curProduction += 1
print("Upgrading factory with {0} troops at level {1} production".format(curTroops, factoryInfo[self.ID].production), file=sys.stderr)
self.actions.append(INC([self.ID]))
curTroops -= FACTORY_UPGRADE_COST
# Weighs targets
weightedTargets = []
for targetFac in validTargets:
weightedTargets.append((targetFac, scoreTarget(targetFac.ID, self.ID)))
weightedTargets = sorted(weightedTargets, key=lambda x: x[1], reverse=True)
# Prioritizes targets that can be overwhelmed
overwhelmTargets = []
ignoreTargets = []
# Classifies targets
for targetTup in weightedTargets:
if (curTroops < 1):
self.troops = curTroops
return self.actions
targetFac = targetTup[0]
targetStates = simulStates[targetFac.ID]
ttt = floydWarMatrix[self.ID][targetFac.ID]+1
tttState = targetStates[ttt]
# Checks that troops won't arrive before bomb :O
ignore = False
for bomb in bombInfo:
if (bomb.owner == 1):
print("Bomb from {0}->{1} arrives in: {2} | Attack arrives in: {3}".format(bomb.origin, bomb.target, bomb.ttt, ttt), file=sys.stderr)
if (bomb.target == targetFac.ID and ttt <= bomb.ttt):
ignore = True
break
if (ignore):
ignoreTargets.append(targetFac)
continue
targetAttack = False
targetTroops = 0
if (tttState.owner == 0): # Neutral Target
targetTroops = tttState.troops+TROOP_EXCESS_NEUTRAL
if (targetTroops <= curTroops): # Can overwhelm target
targetAttack = True
else: # Enemy Target
targetTroops = int((tttState.troops+TROOP_EXCESS_ENEMY)*TROOP_OFFENSIVE_MULTIPLIER)+1
if (targetTroops <= curTroops): # Can overwhelm target
targetAttack = True
# Adds target to priority list if can be overwhelmed
if (targetAttack):
overwhelmTargets.append(targetFac)
self.actions.append(MOVE([self.ID, targetFac.ID, targetTroops]))
print(self.actions[-1].printCmd(), file=sys.stderr)
curTroops -= targetTroops
# Attacks targets in weighted order
for targetTup in weightedTargets:
if (curTroops < 1):
self.troops = curTroops
return self.actions
targetFac = targetTup[0]
# Filters targets on ignore list or priority list
if (targetFac in ignoreTargets or targetFac in overwhelmTargets):
continue
targetStates = simulStates[targetFac.ID]
ttt = floydWarMatrix[self.ID][targetFac.ID]+1
tttState = targetStates[ttt]
print("Attacking: {0} | ttt: {1} | tttState: Owner->{2} Troops->{3}".format(targetFac.ID, ttt, tttState.owner, tttState.troops), file=sys.stderr)
# Determines how many troops to send
targetAttack = False
targetTroops = 0
if (tttState.owner == 0): # Neutral Target
targetTroops = tttState.troops+TROOP_EXCESS_NEUTRAL
if (targetTroops <= curTroops): # Can overwhelm target
print("Overwhelming...", file=sys.stderr)
targetAttack = True
#EXPERIMENTAL: Disabling suspension of attacks
# elif (targetTroops <= curTroops+self.production): # Able to target next turn
# print("Suspend attacks", file=sys.stderr)
# self.troops = curTroops
# return self.actions
else: # Unable to overwhelm target immediately
targetTroops = int(self.TROOP_OFFENSIVE*curTroops)
print("Cannot overwhelm, sending {0} troops".format(targetTroops), file=sys.stderr)
targetAttack = True
elif (tttState.owner == -1): # Enemy Target
# We only attack when our attack can overwhelm enemy
targetTroops = int((tttState.troops+TROOP_EXCESS_ENEMY)*TROOP_OFFENSIVE_MULTIPLIER)+1
if (targetTroops <= curTroops):
print("ENEMY! Sending {0} troops".format(targetTroops), file=sys.stderr)
targetAttack = True
# Issues attack command if available
if (targetAttack):
self.actions.append(MOVE([self.ID, targetFac.ID, targetTroops]))
print(self.actions[-1].printCmd(), file=sys.stderr)
curTroops -= targetTroops
self.troops = curTroops
return self.actions
'''
Upgrade function
- Sends troops to nearby factories to facilitate their upgrading
'''
def upgrade(self, simulStates):
curTroops = min(self.troops, readMaxAvailTroops(simulStates[self.ID])[0])
print("Factory {0} Sending troops for Upgrading...|Current Troops: {1}".format(self.ID, curTroops), file=sys.stderr)
if (curTroops < 1):
self.troops = curTroops
return self.actions
# Scans for nearby factories
for adj in adjList[self.ID]:
if (curTroops < 1):
self.troops = curTroops
return self.actions
adjFac = factoryInfo[adj[0]]
#EXPERIMENTAL: We send units in bulk
requestTroops = min(curTroops, needed_upgradeTroops(self, adjFac, simulStates))
# requestTroops = needed_upgradeTroops(self, adjFac, simulStates)
if (requestTroops > 0 and requestTroops <= curTroops):
self.actions.append(MOVE([self.ID, adjFac.ID, requestTroops]))
print(self.actions[-1].printCmd(), file=sys.stderr)
curTroops -= requestTroops
self.troops = curTroops
return self.actions
'''
Redistribution function
- Scans for nearby friendly factories closer than self to enemy
- Sends excess troops proportionally to those factories
'''
def redistribute(self, simulStates):
curTroops = min(self.troops, readMaxAvailTroops(simulStates[self.ID])[0])
print("Factory {0} Redistributing...|Current Troops: {1}".format(self.ID, curTroops), file=sys.stderr)
if (curTroops < 1):
return self.actions
#TODO: If have excess troops, send them off proportionally to nearby friendly factories?
# Get connected friendly reinforcible factories
adjMyFactories = [facTup[0] for facTup in adjList[self.ID] if (factoryInfo[facTup[0]].owner == 1)]
myDistToEnemy = self.closestEnemy()[1]
print("My distance to enemy: {0}".format(myDistToEnemy), file=sys.stderr)
# Get list of 'frontline' friendly factories
adjFrontlineFactories = [facID for facID in adjMyFactories if (len([enID for enID in range(NUM_FACTORIES) if factoryInfo[enID].owner == -1]) > 0) and factoryInfo[facID].closestEnemy()[1] < myDistToEnemy]
weightedFrontlineFactories = []
for facID in adjFrontlineFactories:
print("Adjacent factory distance to enemy: {0}".format(factoryInfo[facID].closestEnemy()[1]), file=sys.stderr)
weightedFrontlineFactories.append((facID, scoreRedistribution(facID, self.ID, factoryInfo[facID].closestEnemy()[1])))
weightedFrontlineFactories = sorted(weightedFrontlineFactories, key=lambda x: x[1])
# Sends available troops based on score
totScore = 0
minScore = MAX_INT
scoreList = [scoreTup[1] for scoreTup in weightedFrontlineFactories]
limTroops = 0 if self.production == 3 else FACTORY_UPGRADE_COST
totTroops = max(0, curTroops - limTroops)
for score in scoreList: # Get min score
if (score < minScore):
minScore = score
for score in scoreList: # Transform range of scoreList to [0, INF)
score -= minScore
totScore += score
for scoreTup in weightedFrontlineFactories:
if (curTroops <= limTroops):
self.troops = curTroops
return self.actions
normScore = scoreTup[1] - minScore
weightedTroops = max(curTroops,int((float)(normScore/max(1,totScore))*totTroops))
if (weightedTroops <= curTroops):
self.actions.append(MOVE([self.ID, scoreTup[0], weightedTroops]))
print(self.actions[-1].printCmd(), file=sys.stderr)
curTroops -= weightedTroops
# Just send whatever amts of troops off to the highest-weighted factory
if (curTroops > 0 and len(weightedFrontlineFactories) > 0):
self.actions.append(MOVE([self.ID, weightedFrontlineFactories[0][0], curTroops]))
print(self.actions[-1].printCmd(), file=sys.stderr)
curTroops -= curTroops
self.troops = curTroops
return self.actions
class Strategizer(object):
def __init__(self, resolutions, simulation, bombs, incs, simulIDCounter):
self.resolutions = resolutions # 2D list of FactoryMsg objects
self.actions = []
self.evalActions = []
self.blacklistedEnemies = [] # Enemies we can overpower
self.simulation = simulation
self.bombs = bombs
self.incs = incs
self.simulIDCounter = simulIDCounter
'''
Simulated pushing of troop packets to targeted factories
- Takes some list of actions and 'executes' them
- Results in troop packets pushed to incomming queue for targeted factories
'''
def simulate(self, actions):
# print("Simulating: ", file=sys.stderr)
for move in actions:
if (move.isMove()):
if (move.size < 1): # Prunes off no troop packets
continue
args = [1, move.origin, move.target, move.size, adjMatrix[move.origin][move.target]+1]
curPacket = TroopMsg(self.simulIDCounter, args)
self.simulIDCounter += 1
self.simulation[move.target].pushIncomming(curPacket)
# print("Pushed: "+move.print()+" to Factory: {0} | CurPackets: {1}".format(move.target, len(self.simulation[move.target].incomming)), file=sys.stderr)
'''
Conservative troop processing strategy
- Block attacks to resolved targets
- Orders priority of troop movement as such:
1) Reinforces nearby factories
2) Attack nearby factories
3) Sends troops to upgrade nearby factories
4) Redistributes remaining troops to nearby factories
'''
def execute(self):
# Prune off excess attacks
myFactories = [self.simulation[facID] for facID in range(NUM_FACTORIES) if (self.simulation[facID].owner == 1)] # Own factories
for i in range(len(self.resolutions)):
simulState = self.resolutions[i]
if (simulState[-1].owner == 1 and self.simulation[i].owner != 1):
print("Battle for {0} resolved in our favor, preventing further troops".format(i), file=sys.stderr)
# Add target to blacklist
self.blacklistedEnemies.append(i)
# 1) Sends reinforcements
for fac in myFactories:
print("Factory {0} reinforcing...".format(fac.ID), file=sys.stderr)
fac.reinforce(self.resolutions)
# 2) Re-evaluates attack options
for fac in myFactories:
print("======================\nFactory {0} attacking...\n======================".format(fac.ID), file=sys.stderr)
fac.updateBlacklist(self.blacklistedEnemies)
fac.attack(self.resolutions)
# 3) Runs troop movements for upgrades
upgradeFactories = [self.simulation[facID] for facID in range(NUM_FACTORIES) if should_reinforce(facID)]
for fac in upgradeFactories:
fac.upgrade(self.resolutions)
# 4) Redistributes excess troops
for fac in myFactories:
fac.redistribute(self.resolutions)
'''
Redirects troops along floyd-warshall path instead of naive direct pathing
'''
def redirect(self): #TODO: run floyd-warshall per turn?
# Runs simulation for redirecting
myFactories = [self.simulation[facID] for facID in range(NUM_FACTORIES) if (self.simulation[facID].owner == 1)] # Own factories
for fac in myFactories:
self.evalActions.extend(fac.actions)
self.simulate(self.evalActions)
# Re-paths troop packets
for fac in self.simulation:
# print("Redirecting for target Factory {0} | Packets: {1}".format(fac.ID, len(fac.incomming)), file=sys.stderr)
delList = []
for troop in fac.incomming:
closestIntermediate = floydWarPath[troop.origin][fac.ID][0]
ttt = floydWarMatrix[troop.origin][closestIntermediate]+1
closestIntermediateOwner = self.resolutions[closestIntermediate][ttt].owner
# print("Attempting Redirect:\nTroop destination: {0}\nOrigin: {1}\nIntermediate: {2}".format(fac.ID, troop.origin, closestIntermediate), file=sys.stderr)
if (closestIntermediate != fac.ID):
troop.target = closestIntermediate
troop.ttt = ttt
self.simulation[closestIntermediate].pushIncomming(troop)
# print("Redirection troop: {0}-->{1} from initial target {2}".format(troop.origin, closestIntermediate, fac.ID), file=sys.stderr)
delList.append(troop.ID)
if (len(delList) > 0):
for i in range(len(delList)):
fac.delIncomming(delList[i])
def prune(self): #TODO: prunes excess troops sent and orgnize co-ordinated attacks
return None
def whack(self): #TODO: Barrage with all available troops
myFactories = [self.simulation[facID] for facID in range(NUM_FACTORIES) if (self.simulation[facID].owner == 1)] # Own factories
whackActions = []
#TODO: All focus whack on a single enemy factory?
for fac in myFactories:
if (fac.getAvailTroops(self.resolutions) < 1 or fac.production < 3):
continue
adjEnemy = fac.closestEnemy()[0]
if (adjEnemy != -1):
targetID = adjEnemy
closestIntermediate = floydWarPath[fac.ID][targetID][0]
if (closestIntermediate != -1):
targetID = closestIntermediate
whackActions.append(MOVE([fac.ID, targetID, fac.getAvailTroops(self.resolutions)]))
print(whackActions[-1].printCmd(), file=sys.stderr)
fac.troops -= fac.getAvailTroops(self.resolutions)
self.simulate(whackActions)
return None
def printCmd(self):
# Adds movement commands
for fac in self.simulation:
for troop in fac.incomming:
self.actions.append(MOVE([troop.origin,fac.ID,troop.size]).printCmd())
# Adds bomb commands
for bomb in self.bombs:
self.actions.append(bomb.printCmd())
# Adds upgrade commands
for action in self.evalActions:
if (action.form == "INC"):
self.actions.append(action.printCmd())
for inc in self.incs:
self.actions.append(inc.printCmd())
# Adds in debuggin message
if (MSG_OUTPUT):
self.actions.append("MSG {0}".format(MSG_CONTENT))
# Outputs current turn's actions
if (len(self.actions) < 1):
print("WAIT")
else:
outputCommand = ""
for cmd in self.actions:
outputCommand += ";"
outputCommand += cmd
print(outputCommand[1:])
# Handle Inputs
NUM_FACTORIES = int(input()) # Number of factories
for i in range(NUM_FACTORIES): # Initialize Factories
adjList.append([])
adjMatrix.append([0 for x in range(NUM_FACTORIES)])
floydWarMatrix.append([MAX_INT for x in range(NUM_FACTORIES)]) # Matrix to store shortest distances
floydWarPath.append([[-1] for x in range(NUM_FACTORIES)]) # Matrix to store path
floydWarNext.append([-1 for x in range(NUM_FACTORIES)]) # Optimized matrix storing only next target
factoryInfo.append(Factory(i))
simulFac.append(Factory(i))
link_count = int(input()) # Number of links between factories
for i in range(link_count): # Initialize adjList/adjMatrix
factory_1, factory_2, distance = [int(j) for j in input().split()]
adjList[factory_1].append((factory_2, distance))
adjList[factory_2].append((factory_1, distance))
adjMatrix[factory_1][factory_2] = distance
adjMatrix[factory_2][factory_1] = distance
# Stores links into floyd-warshall graph
#TODO: do not store if distance > 5?
floydWarMatrix[factory_1][factory_2] = distance
floydWarMatrix[factory_2][factory_1] = distance
floydWarPath[factory_1][factory_2] = [factory_2]
floydWarPath[factory_2][factory_1] = [factory_1]
floydWarNext[factory_1][factory_2] = factory_2
floydWarNext[factory_2][factory_1] = factory_1
for i in range(NUM_FACTORIES): # Filter out paths > MAX_LINK_DISTANCE whilst preserving at least 1 link
minLinkDistance = MAX_INT
minLinkTarget = []
numLinks = 0
for j in range(len(floydWarMatrix[i])):
if (floydWarMatrix[i][j] < minLinkDistance):
minLinkDistance = floydWarMatrix[i][j]
minLinkTarget.append(j)
if (floydWarMatrix[i][j] > MAX_LINK_DISTANCE):
floydWarMatrix[i][j] = MAX_INT
floydWarPath[i][j] = [-1]
floydWarNext[i][j] = -1
else:
numLinks += 1
if (numLinks < 1): # Establish shortest link
for minLink in minLinkTarget:
floydWarMatrix[i][minLink] = minLinkDistance
floydWarPath[i][minLink] = [minLink]
floydWarNext[i][minLink] = minLink
minLinkDistance = MAX_INT
minLinkTarget = []
numLinks = 0
for j in range(len(adjList[i])):
if (adjList[i][j][1] < minLinkDistance):
minLinkDistance = adjList[i][j][1]
minLinkTarget.append(adjList[i][j][0])
if (adjList[i][j][1] > MAX_LINK_DISTANCE):
adjList[i][j] = None
else:
numLinks += 1
if (numLinks < 1):
for minLink in minLinkTarget:
adjList[i][minLink] = (minLink, minLinkDistance)
adjList[i] = [adjList[i][idx] for idx in range(len(adjList[i])) if adjList[i][idx] is not None]
for i in range(NUM_FACTORIES): # Sort adjList by order of increasing distance
adjList[i] = sorted(adjList[i], key=lambda x: x[1])
# Floyd-Warshall to compute All-Pair Shortest-Paths
for k in range(NUM_FACTORIES):
for i in range(NUM_FACTORIES):
for j in range(NUM_FACTORIES):
if (i==j or k==j):
continue
intermediate = floydWarMatrix[i][k] + floydWarMatrix[k][j] + 1
if (intermediate < floydWarMatrix[i][j]):
newPath = [k]
newPath.extend(floydWarPath[k][j])
floydWarPath[i][j] = newPath
floydWarNext[i][j] = floydWarNext[k][j]
floydWarMatrix[i][j] = intermediate
elif (intermediate == floydWarMatrix[i][j] and len(floydWarPath[i][j]) < len(floydWarPath[k][j])+1):
newPath = [k]
newPath.extend(floydWarPath[k][j])
floydWarPath[i][j] = newPath
floydWarNext[i][j] = floydWarNext[k][j]
floydWarMatrix[i][j] = intermediate
# Game Loop
while True:
del troopInfo[:] # Resets turn variables
del bombInfo[:]
del turnMoves[:]
del turnBombs[:]
del turnIncs[:]
CYBORGS_OWN = 0
CYBORGS_ENEMY = 0
GAME_TURNS += 1
myFactories = []
simulIDCounter = -100
for i in range(NUM_FACTORIES): # Ticks each factory
factoryInfo[i].tick()
simulFac[i].tick()
# Reads game turn state
entity_count = int(input()) # the number of entities (e.g. factories and troops)
for i in range(entity_count):
entity_id, entity_type, arg_1, arg_2, arg_3, arg_4, arg_5 = input().split()
entity_id = int(entity_id)
args = [int(arg_1), int(arg_2), int(arg_3), int(arg_4), int(arg_5)]
if (entity_type == "FACTORY"):
factoryInfo[entity_id].update(args)
simulFac[entity_id].update(args)
if (factoryInfo[entity_id].owner == 1):
myFactories.append(entity_id)
CYBORGS_OWN += factoryInfo[entity_id].troops
elif (factoryInfo[entity_id].owner == -1):
CYBORGS_ENEMY += factoryInfo[entity_id].troops
elif (entity_type == "TROOP"):
curPacket = TroopMsg(entity_id, args)
factoryInfo[curPacket.target].pushIncomming(curPacket)
troopInfo.append(curPacket)
if (curPacket.owner == 1):
CYBORGS_OWN += curPacket.size
elif (curPacket.owner == -1):
CYBORGS_ENEMY += curPacket.size
elif (entity_type == "BOMB"):
curPacket = BombMsg(entity_id, args)
bombInfo.append(curPacket)
# Searches for enemy's initial location
if (INITIAL_FACTORY_ENEMY == -1 or INITIAL_FACTORY == -1):
for i in range(len(factoryInfo)):
curFac = factoryInfo[i]
if (curFac.owner == 1 and INITIAL_FACTORY == -1):
INITIAL_FACTORY = curFac.ID
if (curFac.owner == -1 and INITIAL_FACTORY_ENEMY == -1):
INITIAL_FACTORY_ENEMY = curFac.ID
print("Map Distance: {0}".format(adjMatrix[INITIAL_FACTORY][INITIAL_FACTORY_ENEMY]), file=sys.stderr)
if (adjMatrix[INITIAL_FACTORY][INITIAL_FACTORY_ENEMY] >= MAP_RUSH_SIZE):
BOMB_SCORE_THRESHOLD = BOMB_SCORE_THRESHOLD_LARGE
# Searches for frontline factory
FRONTLINE_FACTORY = -1
FRONTLINE_DISTANCE = MAX_INT
for i in range(len(factoryInfo)):
curFac = factoryInfo[i]
if (curFac.owner == 1): # Determine a 'frontline' factory
# Find shortest distance to enemy
closestEnemyTup = curFac.closestEnemy()
nearestFactory = closestEnemyTup[0]
nearestDistance = closestEnemyTup[1]
if (nearestFactory != -1 and nearestDistance < FRONTLINE_DISTANCE):
FRONTLINE_DISTANCE = nearestDistance
FRONTLINE_FACTORY = curFac.ID
print("Determined FRONTLINE factory: {0}".format(FRONTLINE_FACTORY), file=sys.stderr)
#TODO: Simulates Nearby enemies' attacks upon self
currentSituation = [fac.resolve() for fac in factoryInfo]
if (SIMULATE_ENEMY):
enemies = [fac for fac in factoryInfo if fac.owner == -1]
enemyActions = [] # Storing enemy movements
for enemyFac in enemies:
# Simulates enemy attacks
enemyActions.extend(simulateEnemySmart(enemyFac, currentSituation))
# Enemy has made some moves, add to simulation
if (len(enemyActions) > 0):
for action in enemyActions:
if (action.isMove()):
args = (-1, action.origin, action.target, action.size, adjMatrix[action.origin][action.target] + 1)
enemyPacket = TroopMsg(simulIDCounter, args)
simulIDCounter += 1
factoryInfo[enemyPacket.target].pushIncomming(enemyPacket)
enemySimulatedSituation = [fac.resolve() for fac in factoryInfo] if (SIMULATE_ENEMY) else currentSituation
# Launch BOMBS!
#TODO: Launch bombs in prune()?
if (num_bombs > 0 and FRONTLINE_FACTORY != -1):
print("Attempting BOMB | Scoring from Factory {0}".format(FRONTLINE_FACTORY), file=sys.stderr)
# Scores all enemy factores for bombing! :D
bombTargets = [(fac.ID, scoreBomb(fac.ID, (FRONTLINE_FACTORY if factoryInfo[fac.ID].closestFriendly()[0] == -1 else factoryInfo[fac.ID].closestFriendly()[0]), enemySimulatedSituation)) for fac in factoryInfo]
bombTargets = sorted(bombTargets, key=lambda x: x[1], reverse=True)
for targetTup in bombTargets:
if (num_bombs < 1 or len(myFactories) < 1):
break
target = targetTup[0]
score = targetTup[1]
# Find the closest base to launch bomb from
nearestFactory = factoryInfo[target].closestFriendly()[0]
if (nearestFactory == -1):
nearestFactory = FRONTLINE_FACTORY
# Do not bomb a target that would be captured upon ttt
if (not should_bomb(target, nearestFactory, enemySimulatedSituation)):
continue
print("Factory {0} Score: {1}".format(target, score), file=sys.stderr)
launch = True
# Only bomb targets above threshold score
if (score < BOMB_SCORE_THRESHOLD):
continue
# Do not bomb same target twice
for bomb in bombInfo:
if (bomb.owner == 1 and bomb.target == target):
launch = False
break
if (not launch):
continue
turnMoves.append(BOMB([nearestFactory, target]))
num_bombs -= 1
#EXPERIMENTAL: Add own bombs into simulation
args = (1, nearestFactory, target, adjMatrix[nearestFactory][target]+1)
bombInfo.append(BombMsg(simulIDCounter, args))
simulIDCounter += 1
# Constructs simulated scenario to feed into strategizer
for move in turnMoves:
print(move.printCmd(), file=sys.stderr)
if (move.isMove()):
args = [1, move.origin, move.target, move.size, adjMatrix[move.origin][move.target]+1]
curPacket = TroopMsg(simulIDCounter, args)
simulIDCounter += 1
simulFac[move.target].pushIncomming(curPacket)
else:
if (move.form == "BOMB"):
turnBombs.append(move)
elif (move.form == "INC"):
turnIncs.append(move)
# Feed Strategizer
strategize = Strategizer(enemySimulatedSituation, simulFac, turnBombs, turnIncs, simulIDCounter)
# Strategize!
strategize.execute() # Executes strategy for turn
strategize.redirect() # Redirects troops and paths them via floyd-warshall
strategize.prune() # Prunes and organizes co-ordinated attacks
strategize.whack() # All out constant barrage of attacks
# Fun little MSG
if (MSG_OUTPUT):
random.seed()
if (MSG_RANDIDX == -1):
MSG_RANDIDX = random.randint(0,len(HITCHHIKER_GALAXY_QUOTES)-1)
elif (MSG_START >= MSG_END):
MSG_RANDIDX = random.randint(0,len(HITCHHIKER_GALAXY_QUOTES)-1)
MSG_START = 0
MSG_DELAY = MSG_MAXLEN
MSG_END = MSG_MAXLEN
delay = ">"
if (MSG_DELAY <= 0):
MSG_START += MSG_RATE
if (MSG_END < len(HITCHHIKER_GALAXY_QUOTES[MSG_RANDIDX])):
MSG_END += min(len(HITCHHIKER_GALAXY_QUOTES[MSG_RANDIDX])-MSG_END, MSG_RATE)
if (MSG_DELAY > 0):
for i in range(MSG_DELAY):
delay += " "
MSG_DELAY -= min(MSG_RATE, MSG_DELAY)
MSG_CONTENT = delay+HITCHHIKER_GALAXY_QUOTES[MSG_RANDIDX][min(len(HITCHHIKER_GALAXY_QUOTES[MSG_RANDIDX]), MSG_START):min(len(HITCHHIKER_GALAXY_QUOTES[MSG_RANDIDX]), MSG_END)]
# Output final strategy for the turn
strategize.printCmd() | [
"devyaoyh@gmail.com"
] | devyaoyh@gmail.com |
d5fcb9b809cc8fb4258e72d8c48de1fa360a2a87 | 572e4478e5f8edc308e41e5f801d89528653e1f0 | /temp/test_data.py | 5bf4b5442e335372e4aec5bcbf21fdcf6b328595 | [] | no_license | dbwodlf3/image_albar_skew | facb8f3e830b276c343853e4b4e1d3e8d1fcfe83 | d24bda1e563b81c74e3cd83260afb93fa03e76ef | refs/heads/master | 2020-09-10T21:46:48.240551 | 2019-11-15T09:39:23 | 2019-11-15T09:39:23 | 221,843,687 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 48,858 | py | import cv2
import numpy as np
kernel = np.ones((5,5), np.uint8)
img = cv2.imread("test2.png")
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
img_gray_blur = cv2.GaussianBlur(img_gray, (5,5), 0)
img_canny = cv2.Canny(img_gray, 50, 200)
img_canny_dilation = cv2.dilate(img_canny, kernel, iterations=3)
test_data = \
[((0, 915), (1, 915), 17), ((1, 916), (2, 915), 16), ((2, 916), (3, 915), 31), ((3, 916), (4, 915), 31), ((4, 916), (5, 915), 33), ((5, 916), (6, 915), 33), ((6, 916), (7, 915), 33), ((7, 916), (8, 915), 33), ((8, 916), (9, 915), 33), ((9, 916), (10, 915), 33), ((10, 916), (11, 1182), 33), ((11, 1183), (12, 1182), 17), ((12, 1183), (13, 1182), 17), ((13, 1183), (14, 1182), 17), ((14, 1183), (15, 1182), 17), ((15, 1183), (16, 1182), 17), ((16, 1183), (17, 1184), 17), ((17, 1185), (81, 112), 14), ((81, 113), (82, 104), 28), ((82, 105), (83, 102), 44), ((83, 103), (84, 101), 82), ((84, 102), (85, 95), 113), ((85, 96), (86, 93), 142), ((86, 94), (87, 87), 149), ((87, 88), (88, 86), 156), ((88, 87), (89, 85), 157), ((89, 86), (90, 83), 158), ((90, 84), (91, 80), 176), ((91, 81), (92, 76), 225), ((92, 77), (93, 74), 275), ((93, 75), (94, 74), 283), ((94, 75), (95, 72), 285), ((95, 73), (96, 72), 291), ((96, 73), (97, 71), 369), ((97, 72), (98, 70), 402), ((98, 71), (99, 68), 450), ((99, 69), (100, 67), 492), ((100, 68), (101, 67), 509), ((101, 68), (102, 66), 536), ((102, 67), (103, 65), 512), ((103, 66), (104, 64), 509), ((104, 65), (105, 64), 488), ((105, 65), (106, 63), 510), ((106, 64), (107, 62), 539), ((107, 63), (108, 61), 545), ((108, 62), (109, 60), 559), ((109, 61), (110, 60), 564), ((110, 61), (111, 59), 587), ((111, 60), (112, 59), 576), ((112, 60), (113, 58), 577), ((113, 59), (114, 56), 581), ((114, 57), (115, 56), 599), ((115, 57), (116, 56), 602), ((116, 57), (117, 56), 619), ((117, 57), (118, 55), 617), ((118, 56), (119, 54), 613), ((119, 55), (120, 54), 593), ((120, 55), (121, 53), 580), ((121, 54), (122, 52), 579), ((122, 53), (123, 52), 576), ((123, 53), (124, 52), 572), ((124, 53), (125, 52), 569), ((125, 53), (126, 51), 572), ((126, 52), (127, 51), 576), ((127, 52), (128, 51),
580), ((128, 52), (129, 51), 591), ((129, 52), (130, 51), 591), ((130, 52), (131, 51), 596), ((131, 52), (132, 51), 619), ((132, 52), (133, 51), 622), ((133, 52), (134, 51), 625), ((134, 52), (135, 50), 641), ((135, 51), (136, 50), 653), ((136, 51), (137, 50), 662), ((137, 51), (138, 50), 664), ((138, 51), (139, 50), 658), ((139, 51), (140, 50), 664), ((140, 51), (141, 50), 665), ((141, 51), (142, 50), 664), ((142, 51), (143, 50), 647), ((143, 51), (144, 50), 670), ((144, 51), (145, 50), 653), ((145, 51), (146, 50), 661), ((146, 51), (147, 50), 669), ((147, 51), (148, 50), 666), ((148, 51), (149, 50), 637), ((149, 51), (150, 50), 605), ((150, 51), (151, 50), 574), ((151, 51), (152, 50), 533), ((152, 51), (153, 50), 483), ((153, 51), (154, 50), 474), ((154, 51), (155, 50), 494), ((155, 51), (156, 51), 498), ((156, 52), (157, 51), 488), ((157, 52), (158, 51), 451), ((158, 52), (159, 52), 437), ((159,
53), (160, 53), 435), ((160, 54), (161, 53), 432), ((161, 54), (162, 54), 453), ((162, 55), (163, 54), 470), ((163, 55), (164, 55), 435), ((164, 56), (165, 55), 431), ((165, 56), (166, 56), 414), ((166, 57), (167, 58), 403), ((167, 59), (168, 58), 394), ((168, 59), (169, 62), 379), ((169, 63), (170, 62), 376), ((170, 63), (171, 62), 374), ((171, 63), (172, 62), 370), ((172, 63), (173, 62), 364), ((173, 63), (174, 62), 334), ((174, 63), (175, 62), 321), ((175, 63), (176, 62), 334), ((176, 63), (177, 62), 360), ((177, 63), (178, 62), 363), ((178, 63), (179, 62), 383), ((179, 63), (180, 62), 381), ((180, 63), (181, 62), 379), ((181, 63), (182, 63), 383), ((182, 64), (183, 63), 389), ((183, 64), (184, 63), 417), ((184, 64), (185, 63), 431), ((185, 64), (186, 64), 459), ((186, 65), (187, 64), 485), ((187, 65), (188, 65), 497), ((188, 66), (189, 65), 520), ((189, 66), (190, 65), 536), ((190, 66), (191, 66), 552), ((191, 67), (192, 66), 586), ((192, 67), (193, 67), 602), ((193, 68), (194, 67), 607), ((194, 68), (195, 67), 621), ((195, 68), (196, 68), 639), ((196, 69), (197, 69), 639), ((197, 70), (198, 70), 631), ((198, 71), (199, 71), 648), ((199, 72), (200, 71), 659), ((200, 72), (201, 71), 657), ((201, 72), (202, 71), 660), ((202, 72), (203, 71), 663), ((203, 72), (204, 72), 661), ((204, 73), (205, 73), 661), ((205, 74), (206, 73), 657), ((206, 74),
(207, 73), 654), ((207, 74), (208, 73), 646), ((208, 74), (209, 74), 656), ((209, 75), (210, 74), 640), ((210, 75), (211, 74), 631), ((211, 75), (212, 75), 627), ((212, 76), (213, 76), 636), ((213, 77), (214, 77), 642), ((214, 78), (215, 78), 618), ((215, 79), (216, 78), 614), ((216, 79), (217, 79), 605), ((217, 80), (218, 79), 582), ((218, 80), (219, 80), 582), ((219, 81), (220, 77), 567), ((220, 78), (221, 75), 578), ((221, 76), (222, 74), 570), ((222, 75), (223, 74), 575), ((223, 75), (224, 74), 559), ((224, 75), (225, 74), 577), ((225, 75), (226, 74), 579), ((226, 75), (227, 74), 576), ((227, 75), (228, 74), 578), ((228, 75), (229, 74), 588), ((229, 75), (230, 74), 599),
((230, 75), (231, 74), 625), ((231, 75), (232, 74), 612), ((232, 75), (233, 74), 642), ((233, 75), (234, 74), 648), ((234, 75), (235, 74), 676), ((235, 75), (236, 74), 685), ((236, 75), (237, 74), 702), ((237, 75), (238, 75), 720), ((238, 76), (239, 75), 727), ((239, 76), (240, 77), 705), ((240, 78), (241, 101), 696), ((241, 102), (242, 102), 660), ((242, 103), (243, 105), 644), ((243, 106), (244, 133), 638), ((244, 134), (245, 133), 623), ((245, 134), (246, 133), 620), ((246, 134), (247, 133), 639), ((247, 134), (248, 132), 653), ((248, 133), (249, 132), 683), ((249, 133), (250, 132), 699), ((250, 133), (251, 132), 696), ((251, 133), (252, 132), 670), ((252, 133), (253, 132), 657), ((253, 133), (254, 132), 664), ((254, 133), (255, 132), 634), ((255, 133), (256, 132), 635), ((256, 133), (257, 132), 632), ((257, 133), (258, 132), 634), ((258, 133), (259, 132), 638), ((259, 133), (260, 132), 623), ((260, 133), (261, 132), 620), ((261, 133), (262, 132), 623), ((262, 133), (263, 132), 633), ((263, 133), (264, 132), 658), ((264, 133), (265, 132), 664), ((265, 133), (266, 132), 695), ((266, 133), (267, 132), 696), ((267, 133), (268, 132), 692), ((268, 133), (269, 132), 707), ((269, 133), (270, 131), 730), ((270, 132), (271, 131), 747), ((271, 132), (272, 131), 766), ((272, 132), (273, 131), 759), ((273, 132), (274, 131), 765), ((274, 132), (275, 131),
783), ((275, 132), (276, 131), 797), ((276, 132), (277, 130), 829), ((277, 131), (278, 130), 843), ((278, 131), (279, 130), 850), ((279, 131), (280, 130), 850), ((280, 131), (281, 130), 855), ((281, 131), (282, 130), 861), ((282, 131), (283, 130), 865), ((283, 131), (284, 130), 869), ((284, 131), (285, 130), 895), ((285, 131), (286, 130), 904), ((286, 131), (287, 130), 905), ((287, 131), (288, 130), 935), ((288, 131), (289, 130), 940), ((289, 131), (290, 130), 943), ((290, 131), (291, 130), 942), ((291, 131), (292, 129), 950), ((292, 130), (293, 129), 948), ((293, 130), (294, 129), 936), ((294, 130), (295, 129), 935), ((295, 130), (296, 129), 941), ((296, 130), (297, 129), 953), ((297, 130), (298, 129), 938), ((298, 130), (299, 129), 930), ((299, 130), (300, 129), 929), ((300, 130), (301, 129), 944), ((301, 130), (302, 129), 937), ((302, 130), (303, 129), 935), ((303, 130), (304, 129), 930), ((304,
130), (305, 129), 930), ((305, 130), (306, 129), 928), ((306, 130), (307, 129), 928), ((307, 130), (308, 129), 908), ((308, 130), (309, 129), 902), ((309, 130), (310, 129), 911), ((310, 130), (311, 128), 918), ((311, 129), (312, 128), 922), ((312, 129), (313, 128), 932), ((313, 129), (314, 128), 944), ((314, 129), (315, 128), 942), ((315, 129), (316, 128), 931), ((316, 129), (317, 128), 924), ((317, 129), (318, 128), 918), ((318, 129), (319, 128), 922), ((319, 129), (320, 127), 910), ((320, 128), (321, 127), 899), ((321, 128), (322, 127), 887), ((322, 128), (323, 127), 888), ((323, 128), (324, 127), 888), ((324, 128), (325, 127), 882), ((325, 128), (326, 127), 882), ((326, 128), (327, 127), 872), ((327, 128), (328, 127), 860), ((328, 128), (329, 127), 838), ((329, 128), (330, 127), 814), ((330, 128), (331, 127), 793), ((331, 128), (332, 127), 781), ((332, 128), (333, 127), 750), ((333, 128), (334, 127), 737), ((334, 128), (335, 127), 729), ((335, 128), (336, 127), 720), ((336, 128), (337, 127), 722), ((337, 128), (338, 127), 734), ((338, 128), (339, 127), 736), ((339, 128), (340, 127), 712), ((340, 128), (341, 127), 724),
((341, 128), (342, 126), 732), ((342, 127), (343, 126), 739), ((343, 127), (344, 126), 716), ((344, 127), (345, 126), 687), ((345, 127), (346, 126), 708), ((346, 127), (347, 126), 694), ((347, 127), (348, 126), 689), ((348, 127), (349, 126), 670), ((349, 127), (350, 126), 671), ((350, 127), (351, 126), 689), ((351, 127), (352, 126), 701), ((352, 127), (353, 126), 688), ((353, 127), (354, 126), 690), ((354, 127), (355, 126), 689), ((355, 127), (356, 126), 706), ((356, 127), (357, 126), 708), ((357, 127), (358, 126), 677), ((358, 127), (359, 126), 682), ((359, 127), (360, 125), 674), ((360, 126), (361, 125), 669), ((361, 126), (362, 125), 665), ((362, 126), (363, 125), 648), ((363, 126), (364, 125), 627), ((364, 126), (365, 125), 603), ((365, 126), (366, 125), 583), ((366, 126), (367, 125), 566), ((367, 126), (368, 124), 561), ((368, 125), (369, 124), 573), ((369, 125), (370, 124), 561), ((370, 125),
(371, 124), 552), ((371, 125), (372, 124), 556), ((372, 125), (373, 124), 543), ((373, 125), (374, 124), 550), ((374, 125), (375, 124), 541), ((375, 125), (376, 124), 523), ((376, 125), (377, 124), 510), ((377, 125), (378, 124), 495), ((378, 125), (379, 124), 487), ((379, 125), (380, 124), 493), ((380, 125), (381, 124), 480), ((381, 125), (382, 124), 479), ((382, 125), (383, 124), 468), ((383, 125), (384, 124), 458), ((384, 125), (385, 124), 444), ((385, 125), (386, 124), 427), ((386, 125), (387, 124), 431), ((387, 125), (388, 124), 423), ((388, 125), (389, 124), 412), ((389, 125), (390, 124), 379), ((390, 125), (391, 124), 357), ((391, 125), (392, 124), 372), ((392, 125), (393, 123), 371), ((393, 124), (394, 123), 362), ((394, 124), (395, 123), 382), ((395, 124), (396, 123), 369), ((396, 124), (397, 123), 365), ((397, 124), (398, 123), 373), ((398, 124), (399, 123), 370), ((399, 124), (400, 123), 380), ((400, 124), (401, 123), 367), ((401, 124), (402, 122), 373), ((402, 123), (403, 122), 374), ((403, 123), (404, 122), 365), ((404, 123), (405, 122), 381), ((405, 123), (406, 122), 376), ((406, 123), (407, 122), 370), ((407, 123), (408, 122), 369), ((408, 123), (409, 122), 365), ((409, 123), (410, 122), 374), ((410, 123), (411, 122), 372), ((411, 123), (412, 122), 361), ((412, 123), (413, 122), 355), ((413, 123), (414, 122), 332), ((414, 123), (415, 122), 322), ((415, 123), (416, 122), 309), ((416, 123), (417, 121), 289), ((417, 122), (418, 121), 274), ((418, 122), (419, 121), 254), ((419, 122), (420, 121), 246), ((420, 122), (421, 121), 228), ((421, 122), (422, 121), 208), ((422, 122), (423, 121), 200), ((423, 122), (424, 121), 181), ((424, 122), (425, 121), 162), ((425, 122), (426, 121), 158), ((426, 122), (427, 121), 131), ((427, 122), (428, 121), 119), ((428, 122), (429, 121), 106), ((429, 122), (430, 121), 87), ((430, 122), (431, 121), 86), ((431, 122), (432, 121), 57), ((432, 122), (433, 121), 46), ((433, 122), (434, 121), 46), ((434, 122), (435, 121), 46), ((435, 122), (436, 121), 46), ((436, 122), (437, 121), 46), ((437, 122), (438, 121), 46), ((438, 122), (439, 121), 45), ((439, 122), (440, 121), 45), ((440, 122), (441, 121), 44), ((441, 122), (442, 120), 45), ((442, 121), (443, 120), 46), ((443, 121), (444, 120), 46), ((444, 121), (445, 119), 46), ((445, 120), (446, 119), 47), ((446, 120), (447, 119), 47), ((447, 120), (448, 119), 63), ((448, 120), (449, 119), 66), ((449, 120), (450, 119), 67), ((450, 120), (451, 119), 70), ((451, 120), (452, 119), 71), ((452, 120), (453, 119), 71), ((453, 120), (454, 119), 71), ((454, 120), (455, 119), 74), ((455, 120), (456, 119), 88), ((456, 120), (457, 119), 99), ((457, 120), (458, 119), 104), ((458, 120), (459, 119), 105), ((459, 120), (460, 119), 108), ((460, 120), (461, 119), 110), ((461, 120), (462, 119), 113), ((462, 120), (463, 119), 114), ((463, 120), (464, 119), 117), ((464, 120), (465, 119), 131), ((465, 120), (466, 119), 134), ((466, 120), (467, 119), 135), ((467, 120), (468, 119), 137), ((468, 120), (469, 119), 139), ((469, 120), (470, 119), 142), ((470, 120), (471, 119), 142), ((471, 120), (472, 119), 142), ((472, 120), (473, 119), 145), ((473, 120), (474, 118), 146), ((474, 119), (475, 118), 149), ((475, 119), (476, 118), 150), ((476, 119), (477, 118), 152), ((477, 119), (478, 118), 172), ((478, 119), (479, 118), 196), ((479, 119), (480, 118), 202), ((480, 119), (481, 118), 222), ((481, 119), (482, 118), 226), ((482, 119), (483, 118), 227), ((483, 119), (484, 117), 230), ((484, 118), (485, 117), 233), ((485, 118), (486, 117), 241), ((486, 118), (487, 117), 247), ((487, 118), (488, 117), 265), ((488, 118), (489, 117), 267),
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63), (1541, 62), 613), ((1541, 63), (1542, 62), 590), ((1542, 63), (1543, 62), 562), ((1543, 63), (1544, 62), 540), ((1544, 63), (1545, 61), 543), ((1545, 62), (1546, 61), 582), ((1546, 62), (1547, 61), 613), ((1547, 62), (1548, 60), 591), ((1548, 61), (1549, 60), 598), ((1549, 61), (1550, 59), 585), ((1550, 60), (1551, 59), 590), ((1551, 60), (1552, 58), 613), ((1552, 59), (1553, 57), 580), ((1553, 58), (1554, 56), 576), ((1554, 57), (1555, 55), 572), ((1555, 56), (1556, 54), 590), ((1556, 55), (1557, 52), 629), ((1557, 53), (1558, 51), 635), ((1558, 52), (1559, 51), 624), ((1559, 52), (1560, 51), 627), ((1560, 52), (1561, 51), 654), ((1561, 52), (1562, 51), 648), ((1562, 52), (1563, 51), 621), ((1563, 52), (1564, 51), 642), ((1564, 52), (1565, 51), 643), ((1565, 52), (1566, 51), 627), ((1566, 52), (1567, 51), 649), ((1567, 52), (1568, 51), 653), ((1568, 52), (1569, 51), 659), ((1569, 52), (1570, 51), 649), ((1570, 52), (1571, 51), 642), ((1571, 52), (1572, 51), 657), ((1572, 52), (1573, 52), 638), ((1573, 53), (1574, 53), 618), ((1574, 54), (1575, 59), 648), ((1575, 60), (1576, 59), 648), ((1576, 60), (1577, 59), 652), ((1577, 60), (1578, 59), 656), ((1578, 60), (1579, 59), 656), ((1579, 60), (1580, 59), 637), ((1580, 60), (1581, 59), 621), ((1581, 60), (1582, 59), 612), ((1582, 60), (1583, 59), 653), ((1583, 60), (1584, 59), 671), ((1584, 60), (1585, 59), 708), ((1585, 60), (1586, 62), 735), ((1586, 63), (1587, 86), 736), ((1587, 87), (1588, 88), 712), ((1588, 89), (1589, 88), 719), ((1589, 89), (1590, 88), 745), ((1590, 89), (1591, 88), 779), ((1591, 89), (1592, 88), 796), ((1592, 89), (1593, 88), 777), ((1593, 89), (1594, 88), 777), ((1594, 89), (1595, 88), 777), ((1595, 89), (1596, 88), 778), ((1596, 89), (1597, 88), 785), ((1597, 89), (1598, 88), 811), ((1598, 89), (1599, 88), 799), ((1599, 89), (1600, 88), 807), ((1600, 89), (1601, 133), 807), ((1601, 134), (1602, 133), 806), ((1602, 134), (1603, 134), 811), ((1603, 135), (1604, 200), 809), ((1604, 201), (1605, 200), 812), ((1605, 201), (1606, 200), 804), ((1606, 201), (1607, 200), 799), ((1607, 201), (1608, 251), 819), ((1608, 252), (1609, 251), 805), ((1609, 252), (1610, 251), 827), ((1610, 252), (1611, 253), 831), ((1611, 254), (1612, 299), 847), ((1612, 300), (1613, 299), 833),
((1613, 300), (1614, 301), 837), ((1614, 302), (1615, 347), 827), ((1615, 348), (1616, 347), 813), ((1616, 348), (1617, 384), 818), ((1617, 385), (1618, 386), 758), ((1618, 387), (1619, 86), 745), ((1619, 87), (1620, 64), 728),
((1620, 65), (1621, 63), 742), ((1621, 64), (1622, 62), 743), ((1622, 63), (1623, 62), 741), ((1623, 63), (1624, 62), 768), ((1624, 63), (1625, 62), 769), ((1625, 63), (1626, 62), 750), ((1626, 63), (1627, 62), 762), ((1627, 63), (1628, 62), 774), ((1628, 63), (1629, 62), 738), ((1629, 63), (1630, 62), 731), ((1630, 63), (1631, 62), 760), ((1631, 63), (1632, 62), 751), ((1632, 63), (1633, 62), 759), ((1633, 63), (1634, 62), 751), ((1634, 63), (1635, 61), 740), ((1635, 62), (1636, 61), 718), ((1636, 62), (1637, 61), 738), ((1637, 62), (1638, 60), 704), ((1638, 61), (1639, 60), 727), ((1639, 61), (1640, 59), 728), ((1640, 60), (1641, 59), 716), ((1641, 60), (1642, 58), 720), ((1642, 59), (1643, 58), 722), ((1643, 59), (1644, 57), 744), ((1644, 58), (1645, 56), 768), ((1645, 57), (1646, 56), 736), ((1646, 57), (1647, 55), 732), ((1647, 56), (1648, 53), 746), ((1648, 54), (1649, 52), 729), ((1649, 53),
(1650, 50), 749), ((1650, 51), (1651, 50), 761), ((1651, 51), (1652, 50), 747), ((1652, 51), (1653, 50), 746), ((1653, 51), (1654, 50), 744), ((1654, 51), (1655, 50), 725), ((1655, 51), (1656, 50), 709)] | [
"dbwodlf3@naver.com"
] | dbwodlf3@naver.com |
d2b5a47ddc782506bfba00b7042c810354ca91ce | 828ae8d9936b735c6ecb13514fae76dde59199f2 | /src/sync/page_down.py | aeed2cf1cbe0432a5cc806ebd04192ff49ec4302 | [] | no_license | KenJi544/async_training | a8630e2c3d090a68ee467c86d7ed5d7302221830 | a9b02536c7661b4003eeb5cf911cc4ba78972481 | refs/heads/master | 2020-03-28T21:11:29.295064 | 2018-10-19T06:57:53 | 2018-10-19T06:57:53 | 149,136,500 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 343 | py | import requests
from .util.loggin_util import logger
def download_page(url):
logger.info("downloading the page")
page = request.get(url)
logger.debug(f"page status : {page.status_code}")
if page.status_code == 200:
logger.info("page downloaded with succes")
else:
logger.warning("page didn't downloaded")
| [
"grigori@smartsoftdev.eu"
] | grigori@smartsoftdev.eu |
b35422cbf3d8501bfd9d006f2035134b3d022010 | 327a8fe2743bde7f49b19914e4d62091cb7c79d6 | /upload/wsgi.py | d97d7643e5921ed05ee7ec9f48320185ec321262 | [
"MIT"
] | permissive | danrneal/raft-drf-exercise | 3de78d115e02a3739911feb30e1b96f482b873e0 | f62d2f05cd085f7a8d9b89f4ecee2c76feb4b47e | refs/heads/main | 2023-08-03T17:04:14.583022 | 2021-09-22T19:53:08 | 2021-09-22T19:53:08 | 312,690,985 | 0 | 0 | MIT | 2021-09-22T19:53:09 | 2020-11-13T21:47:48 | Python | UTF-8 | Python | false | false | 389 | py | """
WSGI config for upload project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'upload.settings')
application = get_wsgi_application()
| [
"dan.r.neal@gmail.com"
] | dan.r.neal@gmail.com |
1c007a72ebede5a6f4735902bc08972873a7d79c | 07841d4b6497028f651b9fb7a028322875e08e9c | /src/ftc_scoring.py | 82b5cdbb3ffdc7ef75802320b898411f1cde2825 | [] | no_license | JIceberg/Raider | e1e922b158577595fc6695ad2e7bb5ccaa2df4c2 | d829c1f4df362c688546be5bce2f2ab9fb0c3ac2 | refs/heads/main | 2023-03-20T20:40:21.229978 | 2021-03-16T04:15:59 | 2021-03-16T04:15:59 | 328,736,742 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,968 | py | import requests
from bs4 import BeautifulSoup
def lookup_team(team):
values = {}
url = "http://www.ftcstats.org/2021/index.html"
with requests.Session() as s:
with s.get(url) as page:
soup = BeautifulSoup(page.content, 'html.parser')
rows = soup.findAll('tr', class_="trow")
found = False
for row in rows:
data = row.findAll('td')
team_number = data[1].find('a')
if not team_number:
continue
else:
num = int(team_number.getText())
if team == num and not found:
found = True
values['team_name'] = data[2].find('abbr').getText()
values['opr'] = data[3].getText()
values['rank'] = data[0].getText()
url = "http://www.ftcstats.org/2021/georgia.html"
with requests.Session() as s:
with s.get(url) as page:
soup = BeautifulSoup(page.content, 'html.parser')
rows = soup.findAll('tr', class_="trow")
found = False
for row in rows:
data = row.findAll('td')
team_number = data[1].find('a')
if not team_number:
continue
else:
num = int(team_number.getText())
if team == num and not found:
found = True
values['state_rank'] = data[0].getText()
return values
def get_rank(team) -> str:
data = lookup_team(team)
if 'rank' not in data:
return "Could not find team!"
res = data["team_name"] + " is rank " + data["rank"]
res += " globally with an OPR of " + data["opr"] + "."
if 'state_rank' not in data:
return res
else:
return res + " In Georgia, the team is rank " + data['state_rank'] + "."
| [
"jisenberg3@gatech.edu"
] | jisenberg3@gatech.edu |
d87050e9f0620d49c9b7e96014c4fa531605ba4a | 64ab5b65afdf8d950c4b56ad2259133b95fc2fec | /zeus/migrations/e373a7bffa18_unique_build_failures.py | c118ddf8f86aee0ea630a9b38be70d3beae61969 | [
"Apache-2.0"
] | permissive | getsentry/zeus | 3e88895443b23278fdb4c25121422ee214630512 | 6d4a490c19ebe406b551641a022ca08f26c21fcb | refs/heads/master | 2023-09-01T14:20:11.396306 | 2021-04-30T17:08:33 | 2021-04-30T17:08:33 | 96,131,433 | 222 | 27 | Apache-2.0 | 2022-06-01T03:17:16 | 2017-07-03T16:39:35 | Python | UTF-8 | Python | false | false | 897 | py | """unique_build_failures
Revision ID: e373a7bffa18
Revises: 54bbb66a65a6
Create Date: 2020-03-13 09:25:38.492704
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "e373a7bffa18"
down_revision = "54bbb66a65a6"
branch_labels = ()
depends_on = None
def upgrade():
# first we clean up duplicate rows
connection = op.get_bind()
connection.execute(
"""
DELETE FROM failurereason a
USING failurereason b
WHERE a.id > b.id
AND a.reason = b.reason
AND a.build_id = b.build_id
"""
)
op.create_index(
"unq_failurereason_buildonly",
"failurereason",
["build_id", "reason"],
unique=True,
postgresql_where=sa.text("job_id IS NULL"),
)
def downgrade():
op.drop_index("unq_failurereason_buildonly", table_name="failurereason")
| [
"dcramer@gmail.com"
] | dcramer@gmail.com |
a1ebf96d93a3e1ae78d6189b078630bb4fcf8d52 | 7f90f49237b30e404161b4670233d023efb7b43b | /第二章 python核心/HX02_linux系统编程/01进程/test/jc10_子进程多种方式小结.py | a42c62f02979b3b07ae8548d92ebb3d3b86fd1b6 | [] | no_license | FangyangJz/Black_Horse_Python_Code | c5e93415109699cc42ffeae683f422da80176350 | 34f6c929484de7e223a4bcd020bc241bb7201a3d | refs/heads/master | 2020-03-23T01:52:42.069393 | 2018-07-14T12:05:12 | 2018-07-14T12:05:12 | 140,942,688 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 451 | py | # !/usr/bin/env python
# -*- coding:utf-8 -*-
# author: Fangyang time:2018/3/31
# (1) fork, 只用于linux (不推荐)
ret = os.fork()
if ret == 0:
# 子进程
else:
# 父进程
# (2) Process(target=xxx), 还有一个 class Xxx(Process):
p1 = Process(target=func)
p1.start()
# 主进程也能干点活
# (3) pool (推荐)
pool = Pool(3)
pool.apply_async(xxxx)
# 主进程一般用来等待, 不干活, 真正的任务在子进程中执行 | [
"fangyang.jing@hotmail.com"
] | fangyang.jing@hotmail.com |
f95e001f83ea29c873d684224d81e484c9e2fcf7 | 7ae88e7e37fe4f472d3ab9bf2533a8b0e1b20e78 | /mozilla_l10n/convert_from_github/screenshots-monorepo-convert.py | dc908cd81b7a3e5f9ea5aeac459cc63334b480d3 | [] | no_license | mathjazz/scripts | 753cfa08c02c9bcb6a0df7fe938e0fb98d13c456 | 2e32220fd6449079b0f9520913c977c2be5e8fcc | refs/heads/master | 2020-12-04T00:51:38.906775 | 2019-12-18T12:58:00 | 2019-12-18T13:01:56 | 231,544,375 | 0 | 0 | null | 2020-01-03T08:23:33 | 2020-01-03T08:23:32 | null | UTF-8 | Python | false | false | 4,022 | py | #!/usr/bin/env python3
# Example:
# ./screenshots-monorepo-convert.py ~/github/screenshots-hg/ ~/mozilla/mercurial/l10n_clones/locales
# Add --push to push to remote repository
import argparse
from concurrent import futures
import json
import os
import subprocess
import sys
from tempfile import mkstemp
from functools import partial
# Relative path to locales folder in the GitHub project
gh_path_locales = 'locales'
# Filename in GitHub
gh_filename = 'screenshots.ftl'
# Full path and filename in Mercurial l10n repository
hg_file = 'browser/browser/screenshots.ftl'
# Initial changeset for rebase. To get this, run in the GitHub repository:
# hg log -r : -l 1 -T"{node}"
initial_changeset = '3fb30a9f2505b9ffb5bb1add96c19fe3bb258820'
def hg_pull(repo):
return subprocess.run(
['hg', '--cwd', repo, 'pull', '-u'],
stdout=subprocess.PIPE).stdout.decode('utf-8')
def migrate(project_locale, args):
hg_locale = project_locale
# Special case ja-JP-mac (we need to read 'ja')
if project_locale == 'ja-JP-mac':
hg_locale = 'ja'
repo = os.path.join(args.l10n_path, hg_locale)
out = ''
out += 'Starting migration for {}\n'.format(hg_locale)
out += hg_pull(repo)
fd, filemap = mkstemp(text=True)
try:
with os.fdopen(fd, 'w') as fh:
fh.write('''\
include "{gh_path}/{locale}/{gh_filename}"
rename "{gh_path}/{locale}/{gh_filename}" "{hg_file}"
'''.format(
gh_path=gh_path_locales,
locale=project_locale,
gh_filename=gh_filename,
hg_file=hg_file
))
shamap = os.path.join(args.l10n_path, hg_locale, '.hg', 'shamap')
if os.path.isfile(shamap):
os.remove(shamap)
content = subprocess.run(
[
'hg', 'log', '-r', 'default',
"-T" + initial_changeset + " {node}\n"
],
cwd=repo, stdout=subprocess.PIPE).stdout.decode('utf-8')
with open(shamap, 'w') as fh:
fh.write(content)
subprocess.run(
['hg', 'convert', '--filemap', filemap, args.project_path, repo],
stdout=subprocess.PIPE
).stdout.decode('utf-8')
if args.push:
out += subprocess.run(
['hg', 'push', '-r', 'default'],
cwd=repo,
stdout=subprocess.PIPE
).stdout.decode('utf-8')
# Pull again
out += hg_pull(repo)
finally:
os.remove(filemap)
out += 'Finished migration for {}\n'.format(hg_locale)
return out
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--push', action='store_true',
help='push results upstream')
parser.add_argument('-p', default=4, metavar='N', help='Run N parallel jobs')
parser.add_argument('project_path', metavar='Path to converted GitHub project')
parser.add_argument(
'l10n_path', metavar='Path to folder with clones of all l10n-central repositories')
args = parser.parse_args()
# Get a list of locales in the project
project_locales = [
dir
for dir in os.listdir(os.path.join(args.project_path, gh_path_locales))
if dir != 'en-US' and not dir.startswith('.')
]
# Add ja-JP-mac
project_locales.append('ja-JP-mac')
project_locales.sort()
# Limit to one locale for testing
project_locales = ['it']
handle = []
skip = []
for project_locale in project_locales:
if os.path.isdir(os.path.join(args.l10n_path, project_locale)):
handle.append(project_locale)
else:
skip.append(project_locale)
migrate_fn = partial(migrate, args=args)
with futures.ThreadPoolExecutor(max_workers=int(args.p)) as executor:
for stdout in executor.map(migrate_fn, handle):
sys.stdout.write(stdout)
if skip:
print('Skipped these locales: {}'.format(', '.join(skip)))
if __name__ == "__main__":
main()
| [
"flodolo@mozilla.com"
] | flodolo@mozilla.com |
61c00f543bd77b38fc7b8a2418e3931bac1010e2 | ef7760e3d51ab8991a1bdd41b4bf4de178cf8ad9 | /sp500_app.py | 4edfd2be3b14f8b6ff94c66aa911785e25952366 | [] | no_license | tundao912/datascience | e7dfb31322073100d118652d7558ff05df02a202 | cc67f5a21bd21f3a38aeb1c04d1b042a4d4f927e | refs/heads/master | 2023-05-29T10:35:29.172968 | 2021-05-19T15:45:34 | 2021-05-19T15:45:34 | 368,921,628 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,276 | py | import streamlit as st
import pandas as pd
import base64
import matplotlib.pyplot as plt
import yfinance as yf
st.title('S&P 500 App')
st.markdown("""
This app retrieves the list of the **S&P 500** (from wikipedia) and its corresponding stock closing price (year-to-date)
* **Python libs:** base64, pandas, streamlit
* **Data source:** [Wikipedia](https://www.wikipedia.org/).
""")
st.sidebar.header('User Input Features')
@st.cache(suppress_st_warning=True)
def load_data():
url = 'https://en.wikipedia.org/wiki/List_of_S%26P_500_companies'
html = pd.read_html(url, header=0)
df = html[0]
return df
df = load_data()
sector_unique = df['GICS Sector'].unique()
sector = df.groupby('GICS Sector')
sorted_sector_unique = sorted(sector_unique)
selected_sector = st.sidebar.multiselect('Sector', sorted_sector_unique, sorted_sector_unique)
df_selected_sector = df[ (df['GICS Sector'].isin(selected_sector)) ]
st.header('Display Companies in Selected Sector')
st.write('Data dimension: ' + str(df_selected_sector.shape[0]) + ' rows and ' + str(df_selected_sector.shape[1]) + ' columns')
st.dataframe(df_selected_sector)
def filedownload(df):
csv = df.to_csv(index=False)
b64 = base64.b64encode(csv.encode()).decode()
href = f'<a href="data:file/csv;base64,{b64}" download="sp500.csv">Download CSV file</a>'
return href
st.markdown(filedownload(df_selected_sector), unsafe_allow_html=True)
st.set_option('deprecation.showPyplotGlobalUse', False)
data = yf.download(
tickers=list(df_selected_sector[:10].Symbol),
period='ytd',
interval='1d',
group_by='ticker',
auto_adjust=True,
prepost=True
)
def price_plot(symbol):
df2 = pd.DataFrame(data[symbol].Close)
df2['Date'] = df2.index
plt.fill_between(df2.Date, df2.Close, color='skyblue', alpha=0.3)
plt.plot(df2.Date, df2.Close, color='skyblue', alpha=0.8)
plt.xticks(rotation=90)
plt.title(symbol, fontweight= 'bold')
plt.xlabel('Date', fontweight='bold')
plt.ylabel('Closing Price', fontweight='bold')
return st.pyplot()
num_company = st.sidebar.slider('Number of companies: ', 1, 5)
if st.button('Show Plots'):
st.header('Stock Closing Price')
for i in list(df_selected_sector.Symbol)[:num_company]:
price_plot(i) | [
"tung.dao912@gmail.com"
] | tung.dao912@gmail.com |
72c0b00f5161bc813e48b07068412ddbfebac6fd | 4e61fbe0f0d4b667b665a53b9ff65e15ce6decb6 | /ImageSelectionGUI_v9.py | 733fd24636b09559d32a298acf17980ef5c3dc84 | [] | no_license | sgkuntz/OxygenCode | 79b48a5d12ed1d5ab811614546cd6124ea866130 | 47504538535d32fa96ddde29fbe2452fcc5d4ab5 | refs/heads/master | 2021-01-10T04:16:30.665508 | 2015-10-16T09:19:27 | 2015-10-16T09:19:27 | 44,127,696 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,311 | py | # try writing a gui for image analysis (select the image that is at the right time point)
# python ImageSelectionGUI_v7.py 5 -m -e cephalic_furrow_formation
# python ImageSelectionGUI_v7.py 5 -e cephalic_furrow_formation
from Tkinter import *
from PIL import Image, ImageTk
import os, re, sys, string
# select events
eventList = []
possibleEventList = ['posterior_gap','pole_bud_appears','nuclei_at_periphery','pole_cells_form','yolk_contraction','cellularization_begins','membrane_reaches_yolk',
'pole_cells_migrate','cephalic_furrow_formation','pole_cell_invagination','cephalic_furrow_reclines','amnioproctodeal_invagination','amnioproctodeal_invaginationA','amnioproctodeal_invagination_begins','amnioproctodeal_invagination_ends',
'transversal_fold_formation','anterior-midgut_primordium','stomodeal_plate_forms','stomodeum_invagination','clypeolabral_lobe_forms',
'germband_maxima','clypeolabrum_rotates','posterior_gap_before_germband_shortens','germband_retraction_starts',
'amnioserosa','germband_retracted','dorsal_divot','clypeolabrum_retracts','anal_plate_forms','midgut_unified','clypeolabrum_ventral_lobe_even',
'gnathal_lobes_pinch','head_involution_done','heart-shaped_midgut','convoluted_gut','muscle_contractions','trachea_fill','hatch']
if '-e' in sys.argv:
for entry in sys.argv:
if entry in possibleEventList:
eventList.append(entry)
mainEvent = entry
else:
eventList = possibleEventList
if mainEvent not in os.listdir('.'):
os.mkdir(mainEvent)
# read in the TimeLapseInstructions_run_trialX.txt, this can be tailored to what T and Sp are desired
speciesToAnalyze = str(raw_input('species to analyze: '))
temperatureToAnalyze = str(raw_input('temperature to analyze: '))
if '-m' in sys.argv:
timeLapseInfoFile = open(str(raw_input('Time lapse instructions file input (eg. TimeLapseInstructions_run_trialX.txt): ')), 'r')
recordOutput = open(str(raw_input('Output file (eg. TimeLapseCorrections_trialX.txt): ')), 'w')
else:
timeLapseInfoFile = open('TimeLapseInstructions_run_trial15.txt','r') # default, can update to other trials
if len(temperatureToAnalyze) == 4:
recordOutput = open(mainEvent + '/'+'TimeLapseCorrections_trial15_'+ speciesToAnalyze + '_' + temperatureToAnalyze +'.txt', 'w')
elif len(temperatureToAnalyze) ==2:
recordOutput = open(mainEvent + '/'+'TimeLapseCorrections_trial15_'+ speciesToAnalyze + '_' + temperatureToAnalyze +'.0.txt', 'w')
recordOutput.write('conditions' + '\t' + 'event' + '\t' + 'date/position' + '\t' + 'finalTimepoint' + '\t' + 'dilation' + '\n')
recordlist = []
numberOfImages = int(sys.argv[1])
imageDirectory = '/Volumes/Coluber/Imaging/'
# imageDirectory = '/Desktop/Imaging/'
timelapseInfoList = []
conditionDict = {}
for i in timeLapseInfoFile:
[date, position, firstFilename, orientation, fileNameStructure, mryTime, tfTime, strain, temperature, scaling, zStack, filler] = re.split("[\s]",i)
# line = re.split("[\s]",i)
if speciesToAnalyze == strain:
if temperatureToAnalyze == temperature:
timelapseInfoList.append((date, position, firstFilename, orientation, fileNameStructure, mryTime, tfTime, strain, temperature, scaling, zStack))
if temperature+strain not in conditionDict:
conditionDict[temperature+strain] = []
if (date+'_'+position, firstFilename[:25], orientation, len(firstFilename), mryTime, tfTime, strain, temperature, scaling) not in conditionDict[temperature+strain]:
conditionDict[temperature+strain].append((date+'_'+position, firstFilename[:25], orientation, len(firstFilename), mryTime, tfTime, strain, temperature, scaling))
conditionDict[temperature+strain] = sorted(list(set(conditionDict[temperature+strain])))
# determine the conditions present
conditionList = conditionDict.keys()
conditionList.sort()
statusCall = 'proceed'
imageCall = 'aligned'
class App: # define the App, which should record which button is pressed
def __init__(self, master, timepoint, animal, event, condition, date, position, nameA, nameB, timeDepth, tNameLength, dilation):
frame = Frame(master)
frame.grid()
self.frame = frame
self.quit_button = Button(text="No matches", fg = "red", padx = 50, pady = 15, command=self.noMatches)
self.quit_button.grid(row=1, column=3)
self.next_button = Button(text="Next Images", padx = 50, pady = 15, command=self.nextImages)
self.next_button.grid(row=1, column = 4)
self.previous_button = Button(text="Previous Images", padx = 40, pady = 15, command=self.previousImages)
self.previous_button.grid(row=1, column = 2)
self.jump_next = Button(text=">>", padx = 20, pady = 15, command=self.jumpNext)
self.jump_next.grid(row=1, column = 5)
self.jump_previous = Button(text="<<", padx = 20, pady = 15, command=self.jumpPrevious)
self.jump_previous.grid(row=1, column = 1)
self.jump_next = Button(text=">>>", padx = 20, pady = 15, command=self.jumpNextNext)
self.jump_next.grid(row=1, column = 6)
self.jump_previous = Button(text="<<<", padx = 20, pady = 15, command=self.jumpPreviousPrevious)
self.jump_previous.grid(row=1, column = 0)
if imageCall == 'aligned':
self.switch_to_originals = Button(text="Switch to originals", padx = 40, pady = 10, command=self.switchOriginal)
self.switch_to_originals.grid(row=0, column = 4)
elif imageCall == 'original':
self.switch_to_aligned = Button(text="Switch to aligned", padx = 40, pady = 10, command=self.switchAligned)
self.switch_to_aligned.grid(row=0, column = 4)
self.increaseZstack = Button(text="+ z", padx = 20, pady = 5, command=self.increaseZ)
self.increaseZstack.grid(row=0, column = 3)
self.decreaseZstack = Button(text="- z", padx = 20, pady = 5, command=self.decreaseZ)
self.decreaseZstack.grid(row=0, column = 2)
self.v = IntVar()
self.v.set(0)
self.timepoint = int(timepoint)
self.animal = animal
self.event = event
self.condition = condition
self.dilation = dilation
for number in range(timeDepth):
if self.timepoint > timeDepth:
if imageCall == 'aligned':
importImage = Image.open(imageDirectory+ date +'/'+ position +'/aligned/'+ nameA+'0'*(tNameLength-len(str(self.timepoint-3+number)))+str(self.timepoint-3+number)+nameB)
elif imageCall == 'original':
importImage = Image.open(imageDirectory+ date +'/'+ position +'/'+ nameA+'0'*(tNameLength-len(str(self.timepoint-3+number)))+str(self.timepoint-3+number)+nameB)
importImage = importImage.resize((250,705), Image.ANTIALIAS)
else:
if imageCall == 'aligned':
importImage = Image.open(imageDirectory+ date +'/'+ position +'/aligned/'+ nameA+'0'*(tNameLength-len(str(self.timepoint+number)))+str(self.timepoint+number)+nameB)
elif imageCall == 'original':
importImage = Image.open(imageDirectory+ date +'/'+ position +'/'+ nameA+'0'*(tNameLength-len(str(self.timepoint+number)))+str(self.timepoint+number)+nameB)
importImage = importImage.resize((250,705), Image.ANTIALIAS)
embryoImage = ImageTk.PhotoImage(importImage)
label = Label(image=embryoImage)
label.image = embryoImage
b = Radiobutton(master, image = label.image, variable = self.v, value = number, indicatoron=0, command= self.matchFound)
b.grid(row=2, column=number)
del importImage, embryoImage, b
def matchFound(self):
self.frame.quit()
recordlist.append((self.condition, self.event, self.animal, self.timepoint, 1+self.v.get()))
print 'recording data:', self.condition, self.event, self.animal, self.timepoint, 1+self.v.get()
recordOutput.write(str(self.condition) + '\t' + str(self.event) + '\t' + str(self.animal) + '\t' + str(self.timepoint + 1 + self.v.get() - 3) + '\t' + self.dilation + '\n')
global statusCall
statusCall = 'proceed'
def nextImages(self):
self.frame.quit()
global statusCall
statusCall = 'next'
def previousImages(self):
self.frame.quit()
global statusCall
statusCall = 'previous'
def jumpNext(self):
self.frame.quit()
global statusCall
statusCall = 'jumpnext'
def jumpPrevious(self):
self.frame.quit()
global statusCall
statusCall = 'jumpprevious'
def jumpNextNext(self):
self.frame.quit()
global statusCall
statusCall = 'jumpnextnext'
def jumpPreviousPrevious(self):
self.frame.quit()
global statusCall
statusCall = 'jumppreviousprevious'
def noMatches(self):
self.frame.quit()
recordlist.append((self.condition, self.event, self.animal, self.timepoint, 0))
recordOutput.write(str(self.condition) + '\t' + str(self.event) + '\t' + str(self.animal) + '\t' + 'NaN' + '\t' + self.dilation + '\n')
global statusCall
statusCall = 'proceed'
def switchOriginal(self):
self.frame.quit()
global imageCall
imageCall = 'original'
global statusCall
statusCall = 'refresh'
def switchAligned(self):
self.frame.quit()
global imageCall
imageCall = 'aligned'
global statusCall
statusCall = 'refresh'
def increaseZ(self):
self.frame.quit()
global statusCall
statusCall = 'zUp'
def decreaseZ(self):
self.frame.quit()
global statusCall
statusCall = 'zDown'
root = Tk() # this generates the window
recordlist_AllConditions = []
focusFileNames = os.listdir("./FocusFiles/")
for condition in conditionList:
recordlist_AllEvents = []
for devEvent in eventList:
event = possibleEventList.index(devEvent)
# for index, x in enumerate(possibleEventList):
# if x == devEvent:
# event = index
print devEvent, event
# for event in range(35): # len(eventList)):
recordlist_AllAnimals = []
for (animal, firstFilename, orientation, fileStructure, mry, tf, species, temperature, scaling) in conditionDict[condition]:
try:
zRecord = []
tList = []
focusList = []
for focusFileName in focusFileNames:
# print focusFileName, animal[:8], animal[9:]
if animal[:8]+'_'+animal[9:] in focusFileName:
zRecord.append(focusFileName[-5:-4])
if zRecord == []:
print "no focus files", firstFilename
break # zPos = 0
for zPos in zRecord:
# print 'ImageProcessing/TrialSubsets_'+animal[:8]+'_'+animal[9:]+'_'+str(zPos)+'_EventTimesTrial_avg_'+species+'_'+temperature+'_'+ scaling+'.txt'
eventFile = open('ImageProcessing/TrialSubsets_'+animal[:8]+'_'+animal[9:]+'_'+str(zPos)+'_EventTimesTrial_avg_'+species+'_'+temperature+'_'+ scaling+'.txt', 'r')
line = eventFile.read()
entry = re.split("[\s]",line)
focusFile = open('FocusFiles/FocusScoresUnaligned_'+animal[:8]+'_'+animal[9:]+'_'+zPos+'.txt','r')
lines = focusFile.readlines()
focusScore = re.split("[\s]",lines[int(float(entry[event]))])
tList.append((int(float(entry[event])),int(zPos)))
focusList.append(float(focusScore[1]))
# find the max zScore and return the zPos and time
[estTime,zPos] = tList[focusList.index(max(focusList))]
if fileStructure == 28 or fileStructure == 31 or fileStructure == 33 or fileStructure == 36:
tCallLength = 3
elif fileStructure == 29 or fileStructure == 32 or fileStructure == 34 or fileStructure == 37:
tCallLength = 4
if fileStructure == 28 or fileStructure == 29:
filenameB = '.jpg'
elif fileStructure == 31 or fileStructure == 32:
filenameB = '_z'+str(zPos)+'.jpg'
elif fileStructure == 33 or fileStructure == 34:
filenameB = '_ch00.jpg'
elif fileStructure == 36 or fileStructure == 37:
filenameB = '_z'+str(zPos)+'_ch00.jpg'
w = Label(root, text="Pick the image that matches "+ devEvent, wraplength=275)
w.grid(row=0, column = 0)
app = App(root, estTime, animal, devEvent, condition, animal[:8], animal[9:], firstFilename[:21], filenameB, numberOfImages, tCallLength, scaling)
print 'matlab estimate is:', estTime # 'program will run, matlab estimate is:', estTime
recordlist = []
root.mainloop() # start running the program
while statusCall <> 'proceed':
while statusCall == 'refresh':
app = App(root, estTime, animal, devEvent, condition, animal[:8], animal[9:], firstFilename[:21], filenameB, numberOfImages, tCallLength, scaling)
root.mainloop()
while statusCall == 'zUp':
if len(filenameB) == 12 or len(filenameB) == 7:
filenameC = '_z' + str(int(filenameB[2:3])+1) + filenameB[3:] # update z via filenameB, see if file exists
zStatus = os.path.exists(imageDirectory+ animal[:8] +'/'+ animal[9:] +'/aligned/'+ firstFilename[:21]+'0'*(tCallLength)+filenameC)
else: zStatus = False
if zStatus == True:
filenameB = filenameC
else:
print 'already at max z'
app = App(root, estTime, animal, devEvent, condition, animal[:8], animal[9:], firstFilename[:21], filenameB, numberOfImages, tCallLength, scaling)
root.mainloop()
while statusCall == 'zDown':
if len(filenameB) == 12 or len(filenameB) == 7:
filenameC = '_z' + str(int(filenameB[2:3])-1) + filenameB[3:] # update z via filenameB, see if file exists
zStatus = os.path.exists(imageDirectory+ animal[:8] +'/'+ animal[9:] +'/aligned/'+ firstFilename[:21]+'0'*(tCallLength)+filenameC)
else: zStatus = False
if zStatus == True:
filenameB = filenameC
else:
print 'already at min z'
app = App(root, estTime, animal, devEvent, condition, animal[:8], animal[9:], firstFilename[:21], filenameB, numberOfImages, tCallLength, scaling)
root.mainloop()
while statusCall == 'next':
estTime += numberOfImages
app = App(root, estTime, animal, devEvent, condition, animal[:8], animal[9:], firstFilename[:21], filenameB, numberOfImages, tCallLength, scaling)
root.mainloop()
while statusCall == 'previous':
if estTime > numberOfImages*1.5:
estTime -= numberOfImages
else:
print 'already at beginning'
app = App(root, estTime, animal, devEvent, condition, animal[:8], animal[9:], firstFilename[:21], filenameB, numberOfImages, tCallLength, scaling)
root.mainloop()
while statusCall == 'jumpnext':
estTime += numberOfImages*5
app = App(root, estTime, animal, devEvent, condition, animal[:8], animal[9:], firstFilename[:21], filenameB, numberOfImages, tCallLength, scaling)
root.mainloop()
while statusCall == 'jumpprevious':
if estTime > numberOfImages*6:
estTime -= numberOfImages*5
app = App(root, estTime, animal, devEvent, condition, animal[:8], animal[9:], firstFilename[:21], filenameB, numberOfImages, tCallLength, scaling)
root.mainloop()
while statusCall == 'jumpnextnext':
estTime += numberOfImages*25
app = App(root, estTime, animal, devEvent, condition, animal[:8], animal[9:], firstFilename[:21], filenameB, numberOfImages, tCallLength, scaling)
root.mainloop()
while statusCall == 'jumppreviousprevious':
if estTime > numberOfImages*26:
estTime -= numberOfImages*25
app = App(root, estTime, animal, devEvent, condition, animal[:8], animal[9:], firstFilename[:21], filenameB, numberOfImages, tCallLength, scaling)
root.mainloop()
# print 'program has run, status is: ', statusCall
recordlist_AllAnimals.append(recordlist)
except:
print "no EventTimesTrial file", firstFilename
recordlist_AllEvents.append((event, recordlist_AllAnimals)) # save times for all events
recordlist_AllConditions.append((condition, recordlist_AllEvents)) # save times for all conditions
# save the data or process it
| [
"sgkuntz@berkeley.edu"
] | sgkuntz@berkeley.edu |
f432773e59e03334229c89d8eeec0a82cddd3d78 | feca7fb4e8baddfaeee72c3df03a84ba9645e87a | /working/brouillon.py | afb2607188625e251bdfe2c10e3991e1b1018a35 | [] | no_license | sherr3h/Gaming-Text-Analysis | f2a9b3944465b5fa9464dfce2562e47af2711a99 | 7aa4e1f4d1daf9627f92cbf84fd9f05c4c6e6917 | refs/heads/master | 2020-08-07T22:09:37.382541 | 2019-12-06T15:47:03 | 2019-12-06T15:47:03 | 213,599,544 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,021 | py | import pandas as pd
import datetime
from datetime import timedelta
import numpy as np
import re
import os
from Parser import info
from Parser import parser
from Parser_Financial import parser_financial
from Parser_Financial import price_variation
from textblob import TextBlob
from datetime import timedelta
from datetime import date
# from sklearn.neural_network import MLPClassifier
# X = [[0., 0.], [1., 1.]]
# y = [0, 1]
# clf = MLPClassifier(solver='lbfgs', alpha=1e-5,hidden_layer_sizes=(90, 2), random_state=1)
#
# clf.fit(X, y)
x = input("John")
print(x)
#######################################################ARCHIVES#####################################################################################
# classifiers = [
# svm.SVR(),
# linear_model.SGDRegressor(),
# linear_model.BayesianRidge(),
# linear_model.LassoLars(),
# linear_model.ARDRegression(),
# linear_model.PassiveAggressiveRegressor(),
# linear_model.TheilSenRegressor(),
# linear_model.LinearRegression()]
| [
"noreply@github.com"
] | sherr3h.noreply@github.com |
c99877be4297fa99c457ac8168b09170931dda91 | c9bffb231a577c349804540cfa3c727e809ea5b2 | /com/utils/log.py | 5b9762a7654a00c47d5b89f04099e62d6b2931fc | [] | no_license | laowng/Binance-News-Getting | 2d8c71615aac54b70f59ec828dde384c5028041e | 223467c76cef116a3bd1a0f5993cebc56cfbb0d1 | refs/heads/main | 2023-01-28T02:30:01.483134 | 2020-12-09T12:20:05 | 2020-12-09T12:20:05 | 319,312,491 | 4 | 1 | null | null | null | null | GB18030 | Python | false | false | 2,024 | py | import time
import os
import logging
class Log():
def __init__(self,log_dir):
if not os.path.exists(log_dir):
os.mkdir(log_dir)
self.log_path=os.path.join(log_dir,"log.txt")
def write(self,*args):
with open(self.log_path, "a",encoding='utf-8') as log:
log.writelines(self.get_date()+":")
for i,info in enumerate(args):
log.writelines("\t"+str(i)+": "+info)
log.writelines("\n")
def get_date(self):
return time.strftime("%m-%d %H:%M:%S", time.localtime())
def get(self,i:int):
with open(self.log_path, "r",encoding='utf-8') as log:
lines=log.readlines()
message=lines[-i]
for line in lines[-i+1:]:
message+="\n"+line
return message
def get_log():
curPath = os.path.abspath(os.path.dirname(__file__))
root_path = os.path.split(os.path.split(curPath)[0])[0]
logger = logging.getLogger()
logger.setLevel(logging.NOTSET) # Log等级总开关
# 创建一个handler，用于写入日志文件
rq = time.strftime('%Y%m%d', time.localtime(time.time()))
log_path = root_path + '/Logs/'
os.makedirs(log_path,exist_ok=True)
log_name = log_path + rq + '.log'
logfile = log_name
fh = logging.FileHandler(logfile, mode='a',encoding="utf-8")
fh.setLevel(logging.INFO) # 输出到file的log等级的开关
# 定义handler的输出格式
formatter = logging.Formatter("%(asctime)s - %(filename)s[line:%(lineno)d] - %(levelname)s: %(message)s")
fh.setFormatter(formatter)
rf_handler = logging.StreamHandler(sys.stderr)
rf_handler.setLevel(logging.ERROR)
rf_handler.setFormatter(formatter)
logger.addHandler(fh)
logger.addHandler(rf_handler)
# 使用logger.XX来记录错误,这里的"error"可以根据所需要的级别进行修改
return logger
if __name__ == '__main__':
log=Log("./")
log.write("aaa","bbb","ccc")
log.write("aadddddda","bddddbb","ccc") | [
"wangwen@snnu.edu.cn"
] | wangwen@snnu.edu.cn |
1dc34a70d54fe0218a1f36925c42925187f60b1a | 506adfb65627e1ac8dc65bdd18ae0f4318d5e3cd | /docs/Solvers_Raymond_Hettinger/python/einstein.py | 9079b40a26ea0bd33f091641efb351d3cfec71af | [
"MIT"
] | permissive | winpython/winpython_afterdoc | d6d9557c12bc6cbf615b3d85ba02df7b794ea1f6 | 7e417462c243f9aaa11c2537249bd88355efd1c5 | refs/heads/master | 2023-06-27T22:55:23.430067 | 2023-06-11T09:57:31 | 2023-06-11T09:57:31 | 23,197,567 | 16 | 10 | MIT | 2023-08-20T11:43:58 | 2014-08-21T18:06:42 | null | UTF-8 | Python | false | false | 2,499 | py | from sat_utils import solve_one, from_dnf, one_of
from sys import intern
from pprint import pprint
houses = ['1', '2', '3', '4', '5' ]
groups = [
['dane', 'brit', 'swede', 'norwegian', 'german' ],
['yellow', 'red', 'white', 'green', 'blue' ],
['horse', 'cat', 'bird', 'fish', 'dog' ],
['water', 'tea', 'milk', 'coffee', 'root beer'],
['pall mall', 'prince', 'blue master', 'dunhill', 'blends' ],
]
values = [value for group in groups for value in group]
def comb(value, house):
'Format how a value is shown at a given house'
return intern(f'{value} {house}')
def found_at(value, house):
'Value known to be at a specific house'
return [(comb(value, house),)]
def same_house(value1, value2):
'The two values occur in the same house: brit1 & red1 | brit2 & red2 ...'
return from_dnf([(comb(value1, i), comb(value2, i)) for i in houses])
def consecutive(value1, value2):
'The values are in consecutive houses: green1 & white2 | green2 & white3 ...'
return from_dnf([(comb(value1, i), comb(value2, j))
for i, j in zip(houses, houses[1:])])
def beside(value1, value2):
'The values occur side-by-side: blends1 & cat2 | blends2 & cat1 ...'
return from_dnf([(comb(value1, i), comb(value2, j))
for i, j in zip(houses, houses[1:])] +
[(comb(value2, i), comb(value1, j))
for i, j in zip(houses, houses[1:])]
)
cnf = []
# each house gets exactly one value from each attribute group
for house in houses:
for group in groups:
cnf += one_of(comb(value, house) for value in group)
# each value gets assigned to exactly one house
for value in values:
cnf += one_of(comb(value, house) for house in houses)
cnf += same_house('brit', 'red')
cnf += same_house('swede', 'dog')
cnf += same_house('dane', 'tea')
cnf += consecutive('green', 'white')
cnf += same_house('green', 'coffee')
cnf += same_house('pall mall', 'bird')
cnf += same_house('yellow', 'dunhill')
cnf += found_at('milk', 3)
cnf += found_at('norwegian', 1)
cnf += beside('blends', 'cat')
cnf += beside('horse', 'dunhill')
cnf += same_house('blue master', 'root beer')
cnf += same_house('german', 'prince')
cnf += beside('norwegian', 'blue')
cnf += beside('blends', 'water')
pprint(solve_one(cnf))
| [
"stonebig34@gmail.com"
] | stonebig34@gmail.com |
dab5e2c2641d2c78be9cee19f9c5cd8c9caa4572 | bf1bc5bfba2d8b50b7663580dfddd71da7dcab61 | /codingame/code-of-the-rings/complex3.py | 01163a82b8b5b47a706ddc64c1ff636d0b0c30a6 | [] | no_license | kpbochenek/algorithms | 459a4377def13d5d45e3e0becf489c9edd033a5e | f39d50fe6cd3798a8a77a14b33eecc45412927fa | refs/heads/master | 2021-05-02T09:35:54.077621 | 2016-12-27T18:45:13 | 2016-12-27T18:45:13 | 38,165,785 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,145 | py | #!/bin/python
import sys
import math
MOVE_LEFT = '<'
MOVE_RIGHT = '>'
INCREASE = '+'
DECREASE = '-'
SPELL = '.'
START_LOOP = '['
STOP_LOOP = ']'
A0 = ord('A') - 1
Z0 = ord('Z') + 1
ALPHABET_LEN = Z0 - A0
ZONES_LEN = 30
def letter_distance_move(l1, l2):
l1o, l2o = ord(l1), ord(l2)
if l1 == l2:
return (0, INCREASE)
if l1 == ' ':
return min((l2o - A0, INCREASE), (Z0 - l2o, DECREASE))
elif l2 == ' ':
return min((Z0 - l1o, INCREASE), (l1o - A0, DECREASE))
else:
if l1o < l2o:
dist = l2o - l1o
return min((dist, INCREASE), (ALPHABET_LEN - dist, DECREASE))
else:
dist = l1o - l2o
return min((dist, DECREASE), (ALPHABET_LEN - dist, INCREASE))
def zone_distance_move(z1, z2):
if z1 == z2:
return (0, MOVE_RIGHT)
if z1 < z2:
dist = z2 - z1
return min((dist, MOVE_RIGHT), (ZONES_LEN - dist, MOVE_LEFT))
else:
dist = z1 - z2
return min((dist, MOVE_LEFT), (ZONES_LEN - dist, MOVE_RIGHT))
class GameState:
def __init__(self):
self.zones = [' ' for x in range(ZONES_LEN)]
self.pos = 0
self.output = []
self.moves = 0
def make_move_and_change_letter(self, new_zone, new_letter):
move = zone_distance_move(self.pos, new_zone)
self.output.extend([move[1]] * move[0])
self.pos = new_zone
move = letter_distance_move(self.zones[self.pos], new_letter)
self.output.extend([move[1]] * move[0])
self.zones[self.pos] = new_letter
self.moves += 1
def clone(self):
gs = GameState()
gs.zones = self.zones[:]
gs.pos = self.pos
gs.output = self.output[:]
gs.moves = self.moves
return gs
def score(self):
return len(self.output)
def calculate_distance(pos, i):
return zone_distance_move(pos, i)[0]
def calculate_change(a, b):
return letter_distance_move(a, b)[0]
def generate_states(splits, use_letters, cstate):
if not use_letters:
return [cstate]
new_states = []
for target_zone in range(ZONES_LEN):
d = calculate_distance(cstate.pos, target_zone)
change = calculate_change(cstate.zones[target_zone], use_letters[0])
new_states.append((d + change, target_zone))
result = []
for (cost, tzone) in sorted(new_states)[:splits]:
nstate = cstate.clone()
nstate.make_move_and_change_letter(tzone, use_letters[0])
nstate.output.append(SPELL)
result.extend(generate_states(splits, use_letters[1:], nstate))
return result
if __name__ == '__main__':
magicPhrase = input()
magicPhraseLen = len(magicPhrase)
states = [GameState()]
splits, deep = 2, 5
i = 0
while i < magicPhraseLen:
truedeep = min(deep, magicPhraseLen - i)
global_states = []
for state in states:
global_states.extend(generate_states(splits, magicPhrase[i:i+truedeep], state))
states = sorted(global_states, key=lambda s: s.score())[:10]
i += truedeep
print("".join(states[0].output))
| [
"krzychosan@gmail.com"
] | krzychosan@gmail.com |
bdd2cca9bb9cdeb0136d0359b5e5d4f9724f3dfe | e1a4fcdff2fc92650b161da9dd1a81f44a73cb42 | /shop_engine/models.py | 89f526445d46aaf5fe74a5f14a7ff2b32071480c | [] | no_license | djcors/inmersa | f7c228fb80aa6a0014ec0cde2d6aa2ad5563d0b0 | 386d6882ba5dda2e2be39817520c9934912f21e4 | refs/heads/master | 2021-01-12T11:02:36.018720 | 2016-11-08T00:59:12 | 2016-11-08T00:59:12 | 72,796,857 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 756 | py | # -*- coding: utf-8 -*-
from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.contrib.auth.models import User
from products_engine.models import Plato
class Compra(models.Model):
usuario = models.ForeignKey(User, related_name='apps_compras',
verbose_name=_(u'Usuario'))
plato = models.ForeignKey(Plato, verbose_name=_(u"Plato"))
identificador = models.CharField(_(u'Código de la compra'), blank=True, null=True, max_length=15)
valor = models.PositiveIntegerField(_(u"Valor"), default=0)
class Meta:
verbose_name = "Compra"
verbose_name_plural = "Compras"
def __str__(self):
return self.plato.nombre
from .signals import * | [
"djcors@gmail.com"
] | djcors@gmail.com |
c3db9b0dd06cc6a056e6642d2f5ecbfb6276af25 | 73817d7de7c8f6b245505bf9572c62e57aa155dc | /emotiondetection/emotiondetection/manage.py | 281b6205c613759ef48c9d88a53ba93b6aed180c | [] | no_license | jainaagam96/Song-sonic | 1fa02b47e5ceb5707cf323b357918dda5cb602a6 | fc4605f7e5200b2d47a2fdd255f45d39b32fa100 | refs/heads/main | 2023-07-26T12:59:53.033809 | 2021-08-31T11:15:10 | 2021-08-31T11:15:10 | 401,451,015 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 636 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'emotiondetection.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
"available on your PYTHONPATH environment variable? Did you "
"forget to activate a virtual environment?"
) from exc
execute_from_command_line(sys.argv)
if __name__ == '__main__':
main()
| [
"44803762+jainaagam96@users.noreply.github.com"
] | 44803762+jainaagam96@users.noreply.github.com |
b73f43953012ddb423295001500745fc93163534 | 20eaefe7d45fdff08bfc4f365775503c5a772c86 | /tests/dev-basic-cosmic-rocky | 89a7b864fb9cfb2f1a50f6f0445c836ea5d82638 | [
"Apache-2.0"
] | permissive | jayk-canonical/charm-rabbitmq-server | 6becbbff3125816e8dc4292f976fb10afe5713e4 | a388bf52c89ba2a890a81353fe4210e5bfa4e487 | refs/heads/master | 2020-04-21T10:28:24.682207 | 2019-01-21T16:23:59 | 2019-01-21T16:29:45 | 169,487,309 | 0 | 0 | NOASSERTION | 2019-02-06T22:34:23 | 2019-02-06T22:34:23 | null | UTF-8 | Python | false | false | 830 | #!/usr/bin/env python
#
# Copyright 2016 Canonical Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Amulet tests on a basic rabbitmq-server deployment on cosmic-rocky."""
from basic_deployment import RmqBasicDeployment
if __name__ == '__main__':
deployment = RmqBasicDeployment(series='cosmic')
deployment.run_tests()
| [
"ryan.beisner@canonical.com"
] | ryan.beisner@canonical.com | |
2729f90f81f677b774814ae668f71f955e24f147 | 4846b5a8687bed9481f7ac67d2c90f3329cee7a3 | /docs/conf.py | 2b50c694beed64a3daae0f0f62000f85181cb51c | [
"MIT"
] | permissive | athiwatp/pygtfs | b9018293d4972e2c7f083b1ca15409df1287a187 | 6cf075a304efb8bed09659e80aabbaf36c88c97c | refs/heads/master | 2021-01-16T17:42:53.193525 | 2014-01-22T19:31:55 | 2014-01-22T19:31:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,314 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# pygtfs documentation build configuration file, created by
# sphinx-quickstart on Wed Jan 22 11:52:42 2014.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
import sys
import os
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#sys.path.insert(0, os.path.abspath('.'))
# -- General configuration ------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.doctest',
'sphinx.ext.todo',
'sphinx.ext.coverage',
'sphinx.ext.viewcode',
]
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix of source filenames.
source_suffix = '.rst'
# The encoding of source files.
#source_encoding = 'utf-8-sig'
# The master toctree document.
master_doc = 'index'
# General information about the project.
project = 'pygtfs'
copyright = '2014, Yaron de Leeuw'
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
version = '0.1'
# The full version, including alpha/beta/rc tags.
release = '0.1.0'
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#language = None
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
#today = ''
# Else, today_fmt is used as the format for a strftime call.
#today_fmt = '%B %d, %Y'
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
exclude_patterns = ['_build']
# The reST default role (used for this markup: `text`) to use for all
# documents.
#default_role = None
# If true, '()' will be appended to :func: etc. cross-reference text.
#add_function_parentheses = True
# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
#add_module_names = True
# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
#show_authors = False
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# A list of ignored prefixes for module index sorting.
#modindex_common_prefix = []
# If true, keep warnings as "system message" paragraphs in the built documents.
#keep_warnings = False
# -- Options for HTML output ----------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
html_theme = 'default'
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#html_theme_options = {}
# Add any paths that contain custom themes here, relative to this directory.
#html_theme_path = []
# The name for this set of Sphinx documents. If None, it defaults to
# "<project> v<release> documentation".
#html_title = None
# A shorter title for the navigation bar. Default is the same as html_title.
#html_short_title = None
# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
#html_logo = None
# The name of an image file (within the static path) to use as favicon of the
# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
#html_favicon = None
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# Add any extra paths that contain custom files (such as robots.txt or
# .htaccess) here, relative to this directory. These files are copied
# directly to the root of the documentation.
#html_extra_path = []
# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
# using the given strftime format.
#html_last_updated_fmt = '%b %d, %Y'
# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
#html_use_smartypants = True
# Custom sidebar templates, maps document names to template names.
#html_sidebars = {}
# Additional templates that should be rendered to pages, maps page names to
# template names.
#html_additional_pages = {}
# If false, no module index is generated.
#html_domain_indices = True
# If false, no index is generated.
#html_use_index = True
# If true, the index is split into individual pages for each letter.
#html_split_index = False
# If true, links to the reST sources are added to the pages.
#html_show_sourcelink = True
# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
#html_show_sphinx = True
# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
#html_show_copyright = True
# If true, an OpenSearch description file will be output, and all pages will
# contain a <link> tag referring to it. The value of this option must be the
# base URL from which the finished HTML is served.
html_use_opensearch = 'https://pygtfs.readthedocs.org/'
# This is the file name suffix for HTML files (e.g. ".xhtml").
#html_file_suffix = None
# Output file base name for HTML help builder.
htmlhelp_basename = 'pygtfsdoc'
# -- Options for LaTeX output ---------------------------------------------
latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#'papersize': 'letterpaper',
# The font size ('10pt', '11pt' or '12pt').
#'pointsize': '10pt',
# Additional stuff for the LaTeX preamble.
#'preamble': '',
}
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title,
# author, documentclass [howto, manual, or own class]).
latex_documents = [
('index', 'pygtfs.tex', 'pygtfs Documentation',
'Yaron de Leeuw', 'manual'),
]
# The name of an image file (relative to this directory) to place at the top of
# the title page.
#latex_logo = None
# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
#latex_use_parts = False
# If true, show page references after internal links.
#latex_show_pagerefs = False
# If true, show URL addresses after external links.
#latex_show_urls = False
# Documents to append as an appendix to all manuals.
#latex_appendices = []
# If false, no module index is generated.
#latex_domain_indices = True
# -- Options for manual page output ---------------------------------------
# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
('index', 'pygtfs', 'pygtfs Documentation',
['Yaron de Leeuw'], 1)
]
# If true, show URL addresses after external links.
#man_show_urls = False
# -- Options for Texinfo output -------------------------------------------
# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
# dir menu entry, description, category)
texinfo_documents = [
('index', 'pygtfs', 'pygtfs Documentation',
'Yaron de Leeuw', 'pygtfs', 'One line description of project.',
'Miscellaneous'),
]
# Documents to append as an appendix to all manuals.
#texinfo_appendices = []
# If false, no module index is generated.
#texinfo_domain_indices = True
# How to display URL addresses: 'footnote', 'no', or 'inline'.
#texinfo_show_urls = 'footnote'
# If true, do not generate a @detailmenu in the "Top" node's menu.
#texinfo_no_detailmenu = False
| [
"jarondl@server.fake"
] | jarondl@server.fake |
463df5265956ce8f9be95db8cb4e136e5a16db5e | e3cbf8a625b266839cfb56285a5e625f01ae8cbf | /testNumPy.py | f385fa8a77611413b6c7c158070702690b418226 | [] | no_license | zjscsdn/cheat-engine-QQSpeed-By-python | a561eeae66e6968f4c8cd7cf63ca6c7d1a8692bd | b09b76fd67274a30f85998754f842725ce4ff3ee | refs/heads/master | 2023-07-12T22:20:43.502149 | 2021-08-19T05:50:38 | 2021-08-19T05:50:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 587 | py | import numpy as np
def first_subarray(full_array, sub_array):
n = len(full_array)
k = len(sub_array)
matches = np.where([(
full_array[start_ix] == sub_array[0]
and full_array[start_ix + 2] == sub_array[2]
and full_array[start_ix + 3] == sub_array[3]
) for start_ix in range(0, n - k + 1)])
return matches
# arr = [1, 2, 3, 1, 3, 1, 2, 4]
# arr2 = np.array([1, 3, 1])
# indexTemp = np.where( arr[:1] == 3 )
# print(indexTemp)
a = [0, 1, 2, 3, 4, 5, 6, 1, 3, 3, 4]
b = [1, 0, 3, 4]
c = np.append(a, b)
print(c)
print(first_subarray(a, b))
| [
"xudazhu.z"
] | xudazhu.z |
3a8df5bd1ae0bae4ca755a9613765b60c5e7f2fd | 07d3442cb612ed574de3f13577fda3b9cbca34b8 | /Archive Formats/fmt_laserlight_res.py | cbf558e6ba39cd8c301a6f94443c2909e0ecca7c | [
"MIT"
] | permissive | TheDeverEric/noesis-scripts | 3153f879fe51faf10b98f7ce022e1ed6336082e5 | 0a96ccbcac304c91dc21d252e0e4c6f10e0aaa16 | refs/heads/master | 2020-03-23T17:11:37.850054 | 2018-07-21T22:11:28 | 2018-07-21T22:11:28 | 141,847,999 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,223 | py | #-------------------------------------------------------------------------------
# Name: Laser Light *.RES
# Purpose: Extract Archive
#
# Author: Eric Van Hoven
#
# Created: 01/09/2017
# Copyright: (c) Eric Van Hoven 2017
# Licence: <MIT License>
#-------------------------------------------------------------------------------
from inc_noesis import *
def registerNoesisTypes():
handle = noesis.register("Laser Light (DOS)", ".res")
noesis.setHandlerExtractArc(handle, resExtract)
return 1
def resExtract(fileName, fileLen, justChecking):
with open(fileName, "rb") as fs:
if justChecking:
return 1
fcount = noeUnpack("<H", fs.read(2))[0]
for i in range(fcount):
fs.read(1) #fnsz
fileName = noeStrFromBytes(noeParseToZero(fs.read(0xC)))
offset = noeUnpack("<I", fs.read(4))[0]
size = noeUnpack("<I", fs.read(4))[0]
fs.read(1) #2 byte
tablepos = fs.tell()
fs.seek(offset, 0)
print("Writing", fileName)
rapi.exportArchiveFile(fileName, fs.read(size))
fs.seek(tablepos, 0)
return 1
| [
"noreply@github.com"
] | TheDeverEric.noreply@github.com |
6a27ab74d53e5ac53d5734c115cad15d4de6af08 | a16ffedb5a456fe46e1a105b26f81a5eefe682a7 | /flyte/pack/errors.py | 9e5964f191760d18c973751b4e8596958a9a3360 | [] | no_license | ExpediaGroup/flyte-client-python | 1faabceb6a44261517944799a3ff26d891cd5e0a | 94ec7727a99a22e824632db9541df42dfe57b553 | refs/heads/master | 2023-04-13T03:17:01.095604 | 2020-08-25T13:30:07 | 2020-08-25T13:30:07 | 212,380,902 | 0 | 2 | null | 2023-04-10T07:17:57 | 2019-10-02T15:49:32 | Python | UTF-8 | Python | false | false | 472 | py | class PackError(Exception):
"""Base class for pack errors"""
def __init__(self, msg, original_exception):
super(PackError, self).__init__(msg + (": %s" % original_exception))
self.original_exception = original_exception
class SendEventError(PackError):
"""
Error raised when send event fails
"""
def __init__(self, event, original_exception):
super().__init__("Failed when sending event %s" % event, original_exception)
| [
"isaac.asensio@gmail.com"
] | isaac.asensio@gmail.com |
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