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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d76c7ac7230899afca2ec03da09f81a9ab6d1f03 | b7939b343e52d2633857a93e19108dde49109008 | /setup_finish.py | 3bd9921ead93001611ff878fb4301620787d7fd6 | [] | no_license | hobson/safety-monitor | 040e74e0ac6d153b084860b3cdd6d9739fd0c10e | 122b09bc7f55302cdd5fda576358b56dcd8ee03e | refs/heads/master | 2021-01-22T05:28:23.350603 | 2012-04-15T04:45:09 | 2012-04-15T04:45:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 500 | py | import os
import glob
dist_dir = 'dist'
files = ['C:/Python25/lib/site-packages/wx-2.8-msw-ansi/wx/MSVCP71.dll',
'C:/Python25/lib/site-packages/wx-2.8-msw-ansi/wx/gdiplus.dll',
'./rev20.log',
'images']
for f in files:
os.system("cp -r "+f+" "+dist_dir+"/")
os.system("rm -r "+dist_dir+"/images/.svn")
os.system("rm -r "+dist_dir+"/images/Thumbs.db")
#os.system("gzip -r -S .zip -9 "+dist_dir)
os.system("7z a -tzip -mx=9 "+dist_dir+".zip "+dist_dir) | [
"hobsonlane@gmail.com"
] | hobsonlane@gmail.com |
a1c2632983e12ba8f5a00201653014204fb6181f | 14a853584c0c1c703ffd8176889395e51c25f428 | /sem1/fop/lab9/static/strings.py | 5a11cfaee8f14accb2823f0183f03c5641998655 | [] | no_license | harababurel/homework | d0128f76adddbb29ac3d805c235cdedc9af0de71 | 16919f3b144de2d170cd6683d54b54bb95c82df9 | refs/heads/master | 2020-05-21T12:25:29.248857 | 2018-06-03T12:04:45 | 2018-06-03T12:04:45 | 43,573,199 | 6 | 4 | null | null | null | null | UTF-8 | Python | false | false | 886 | py | """
Most long messages displayed by the UI will be found here.
"""
from util.Color import *
STRINGS = {
'helpPrompt':
'Commands:\n' +
'\t%s - displays this prompt.\n' % Color.strong('help') +
'\t%s - adds a new student or assignment.\n' % Color.strong('add') +
'\t%s - removes an existing student or assignment.\n' % Color.strong('remove') +
'\t%s - displays all students or assignments.\n' % Color.strong('list') +
'\t%s - goes to previous state.\n' % Color.strong('undo') +
'\t%s - goes to next state.\n' % Color.strong('redo') +
'\t%s - displays statistics.\n' % Color.strong('stats') +
'\t%s - clears the screen.\n' % Color.strong('clear') +
'\t%s - saves the work session and exits the application.' % Color.strong('exit')
}
| [
"srg.pscs@gmail.com"
] | srg.pscs@gmail.com |
664537e820a66d7f15136e41787f159ac3ab7b86 | ba80ca143ba35fd481730786a27ebdb1f88ce835 | /algorithm/f/test/RomanNumerals.py | 50f14a15f212f49ed60fcc34487da6bd4748ab19 | [] | no_license | uiandwe/TIL | c541020b65adc53578aeb1c3ba4c6770b3b2e8b3 | 186544469374dd0279099c6c6aa7555ee23e42fe | refs/heads/master | 2022-02-15T08:33:07.270573 | 2022-01-01T15:22:54 | 2022-01-01T15:22:54 | 63,420,931 | 2 | 4 | null | null | null | null | UTF-8 | Python | false | false | 728 | py | '''
I(1), V(5), X(10), L(50), C(100), D(500), M(1000)
1 -> I
2 -> II
3 -> III
4 -> IV
7 -> VII
10 -> X
39 -> XXXIX
246 -> CCXLVI
207 -> CCVII
1066 -> MLXVI
1776 -> MDCCLXXVI
1954 -> MCMLIV
'''
def roman(n):
dict = {
1000: 'M',
900: 'CM',
500: 'D',
400: 'CD',
100: 'C',
90: 'XC',
50: 'L',
40: 'XL',
10: 'X',
9: 'IX',
5: 'V',
4: 'IV',
1: 'I'
}
retStr = ''
keys = list(dict.keys())
values = list(dict.values())
while n > 0:
for index, key in enumerate(keys):
if n >= key:
retStr += values[index]
n -= key
break
return retStr
| [
"noreply@github.com"
] | uiandwe.noreply@github.com |
c292451580a6c057267d586c1da1f9416fa0cefc | 882cc558e786a82f3c0f11d3b332b2c26c59e8d0 | /funker/handle.py | 0d0870e0e8a539cfdf27e1bc1354498910403167 | [
"Apache-2.0"
] | permissive | bfirsh/funker-python | 79fbff296a909cf58ae8817ab42c6f8df1432122 | e7e4f598a6ec2b0c14adde2f49af89aa88ec4dea | refs/heads/master | 2020-06-21T18:53:11.309645 | 2016-11-29T16:13:35 | 2016-11-29T16:13:35 | 74,773,577 | 9 | 2 | null | 2017-01-29T17:23:46 | 2016-11-25T16:31:02 | Python | UTF-8 | Python | false | false | 658 | py | import json
import six
from six.moves import socketserver
class HandleHandler(socketserver.StreamRequestHandler):
def handle(self):
kwargs = json.loads(six.text_type(self.rfile.read(), "utf-8"))
return_value = self.server.func(**kwargs)
return_str = json.dumps(return_value)
self.wfile.write(return_str.encode("utf-8"))
self.wfile.close()
def handle(func):
server = socketserver.TCPServer(("0.0.0.0", 9999), HandleHandler)
server.request_queue_size = 1 # drop any connections except from the first
server.timeout = None
server.func = func
server.handle_request()
server.server_close()
| [
"ben@firshman.co.uk"
] | ben@firshman.co.uk |
55ffce84c42c62bceb73afa45c1838869dcec02b | 2fa102b20ea99d796cc3677c9305f1a80be18e6b | /cf_1154_A.py | 4edb3e6632103f67e9975c1130ae3888571ab9c4 | [] | no_license | pronob1010/Codeforces_Solve | e5186b2379230790459328964d291f6b40a4bb07 | 457b92879a04f30aa0003626ead865b0583edeb2 | refs/heads/master | 2023-03-12T11:38:31.114189 | 2021-03-03T05:49:17 | 2021-03-03T05:49:17 | 302,124,730 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 140 | py | s = list(map(int, input().split()))
s.sort()
apb=s[0]
apc = s[1]
bpc = s[2]
apbpc = s[3]
c = apbpc - apb
b = bpc - c
a = apb-b
print(a,b,c) | [
"pronobmozumder.info@gmail.com"
] | pronobmozumder.info@gmail.com |
3147f1152d915a56edd4b17322b801527d96c1ea | ed0dd577f03a804cdc274f6c7558fafaac574dff | /python/pyre/applications/Executive.py | 3205a28c66169bb035d90b03ef2457a2a234159b | [
"Apache-2.0"
] | permissive | leandromoreira/vmaf | fd26e2859136126ecc8e9feeebe38a51d14db3de | a4cf599444701ea168f966162194f608b4e68697 | refs/heads/master | 2021-01-19T03:43:15.677322 | 2016-10-08T18:02:22 | 2016-10-08T18:02:22 | 70,248,500 | 3 | 0 | null | 2016-10-07T13:21:28 | 2016-10-07T13:21:27 | null | UTF-8 | Python | false | false | 2,919 | py | #!/usr/bin/env python
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# Michael A.G. Aivazis
# California Institute of Technology
# (C) 1998-2005 All Rights Reserved
#
# {LicenseText}
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
class Executive(object):
# factories
def createCommandlineParser(self):
"""create a command line parser"""
import pyre.applications
return pyre.applications.commandlineParser()
def createRegistry(self, name=None):
"""create a registry instance to store my configuration"""
if name is None:
name = self.name
import pyre.inventory
return pyre.inventory.registry(name)
def createCurator(self, name=None):
"""create a curator to handle the persistent store"""
if name is None:
name = self.name
import pyre.inventory
curator = pyre.inventory.curator(name)
return curator
# configuration
def processCommandline(self, registry, parser=None):
"""convert the command line arguments to a trait registry"""
if parser is None:
parser = self.createCommandlineParser()
help, unprocessedArguments = parser.parse(registry)
return help, unprocessedArguments
def verifyConfiguration(self, unknownProperties, unknownComponents, mode='strict'):
"""verify that the user input did not contain any typos"""
if mode == 'relaxed':
return True
if unknownProperties:
print " ## unrecognized properties:"
for key, value, locator in unknownProperties:
print " %s <- '%s' from %s" % (key, value, locator)
self.usage()
return False
if mode == 'pedantic' and unknownComponents:
print ' ## unknown components: %s' % ", ".join(unknownComponents)
self.usage()
return False
return True
def pruneRegistry(self):
registry = self.registry
for trait in self.inventory.properties():
name = trait.name
registry.deleteProperty(name)
for trait in self.inventory.components():
for name in trait.aliases:
registry.extractNode(name)
return registry
# the default application action
def main(self, *args, **kwds):
return
# user assistance
def help(self):
print 'Please consider writing a help screen for this application'
return
def usage(self):
print 'Please consider writing a usage screen for this application'
return
# version
__id__ = "$Id: Executive.py,v 1.1.1.1 2006-11-27 00:09:54 aivazis Exp $"
# End of file
| [
"zli@netflix.com"
] | zli@netflix.com |
027107bfc9df6f0ba6ae047043cc917f2ccf3edb | 9d7ae4ba781a06d96fb1f4cc51b42abcc0928da6 | /sqlalchemy_utils/listeners.py | 29970ffb5b90253f2ab092e7f3c4779177c3cd81 | [] | no_license | tonyseek/sqlalchemy-utils | 5a4d6d1ebaf1d72af04fce30ff5473210cfdbef3 | 0ef12b0a070694fb8ef4c177f9816305110114b1 | refs/heads/master | 2021-01-15T08:47:40.983766 | 2015-01-14T13:39:04 | 2015-01-14T13:39:04 | 29,289,223 | 1 | 0 | null | 2015-01-15T09:03:24 | 2015-01-15T09:03:24 | null | UTF-8 | Python | false | false | 6,855 | py | import sqlalchemy as sa
from .exceptions import ImproperlyConfigured
def coercion_listener(mapper, class_):
"""
Auto assigns coercing listener for all class properties which are of coerce
capable type.
"""
for prop in mapper.iterate_properties:
try:
listener = prop.columns[0].type.coercion_listener
except AttributeError:
continue
sa.event.listen(
getattr(class_, prop.key),
'set',
listener,
retval=True
)
def instant_defaults_listener(target, args, kwargs):
for key, column in sa.inspect(target.__class__).columns.items():
if column.default is not None:
if callable(column.default.arg):
setattr(target, key, column.default.arg(target))
else:
setattr(target, key, column.default.arg)
def force_auto_coercion(mapper=None):
"""
Function that assigns automatic data type coercion for all classes which
are of type of given mapper. The coercion is applied to all coercion
capable properties. By default coercion is applied to all SQLAlchemy
mappers.
Before initializing your models you need to call force_auto_coercion.
::
from sqlalchemy_utils import force_auto_coercion
force_auto_coercion()
Then define your models the usual way::
class Document(Base):
__tablename__ = 'document'
id = sa.Column(sa.Integer, autoincrement=True)
name = sa.Column(sa.Unicode(50))
background_color = sa.Column(ColorType)
Now scalar values for coercion capable data types will convert to
appropriate value objects::
document = Document()
document.background_color = 'F5F5F5'
document.background_color # Color object
session.commit()
:param mapper: The mapper which the automatic data type coercion should be
applied to
"""
if mapper is None:
mapper = sa.orm.mapper
sa.event.listen(mapper, 'mapper_configured', coercion_listener)
def force_instant_defaults(mapper=None):
"""
Function that assigns object column defaults on object initialization
time. By default calling this function applies instant defaults to all
your models.
Setting up instant defaults::
from sqlalchemy_utils import force_instant_defaults
force_instant_defaults()
Example usage::
class Document(Base):
__tablename__ = 'document'
id = sa.Column(sa.Integer, autoincrement=True)
name = sa.Column(sa.Unicode(50))
created_at = sa.Column(sa.DateTime, default=datetime.now)
document = Document()
document.created_at # datetime object
:param mapper: The mapper which the automatic instant defaults forcing
should be applied to
"""
if mapper is None:
mapper = sa.orm.mapper
sa.event.listen(mapper, 'init', instant_defaults_listener)
def auto_delete_orphans(attr):
"""
Delete orphans for given SQLAlchemy model attribute. This function can be
used for deleting many-to-many associated orphans easily. For more
information see
https://bitbucket.org/zzzeek/sqlalchemy/wiki/UsageRecipes/ManyToManyOrphan.
Consider the following model definition:
::
from sqlalchemy.ext.associationproxy import association_proxy
from sqlalchemy import *
from sqlalchemy.orm import *
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import event
Base = declarative_base()
tagging = Table(
'tagging',
Base.metadata,
Column(
'tag_id',
Integer,
ForeignKey('tag.id', ondelete='CASCADE'),
primary_key=True
),
Column(
'entry_id',
Integer,
ForeignKey('entry.id', ondelete='CASCADE'),
primary_key=True
)
)
class Tag(Base):
__tablename__ = 'tag'
id = Column(Integer, primary_key=True)
name = Column(String(100), unique=True, nullable=False)
def __init__(self, name=None):
self.name = name
class Entry(Base):
__tablename__ = 'entry'
id = Column(Integer, primary_key=True)
tags = relationship(
'Tag',
secondary=tagging,
backref='entries'
)
Now lets say we want to delete the tags if all their parents get deleted (
all Entry objects get deleted). This can be achieved as follows:
::
from sqlalchemy_utils import auto_delete_orphans
auto_delete_orphans(Entry.tags)
After we've set up this listener we can see it in action.
::
e = create_engine('sqlite://')
Base.metadata.create_all(e)
s = Session(e)
r1 = Entry()
r2 = Entry()
r3 = Entry()
t1, t2, t3, t4 = Tag('t1'), Tag('t2'), Tag('t3'), Tag('t4')
r1.tags.extend([t1, t2])
r2.tags.extend([t2, t3])
r3.tags.extend([t4])
s.add_all([r1, r2, r3])
assert s.query(Tag).count() == 4
r2.tags.remove(t2)
assert s.query(Tag).count() == 4
r1.tags.remove(t2)
assert s.query(Tag).count() == 3
r1.tags.remove(t1)
assert s.query(Tag).count() == 2
.. versionadded: 0.26.4
:param attr: Association relationship attribute to auto delete orphans from
"""
parent_class = attr.parent.class_
target_class = attr.property.mapper.class_
backref = attr.property.backref
if not backref:
raise ImproperlyConfigured(
'The relationship argument given for auto_delete_orphans needs to '
'have a backref relationship set.'
)
@sa.event.listens_for(sa.orm.Session, 'after_flush')
def delete_orphan_listener(session, ctx):
# Look through Session state to see if we want to emit a DELETE for
# orphans
orphans_found = (
any(
isinstance(obj, parent_class) and
sa.orm.attributes.get_history(obj, attr.key).deleted
for obj in session.dirty
) or
any(
isinstance(obj, parent_class)
for obj in session.deleted
)
)
if orphans_found:
# Emit a DELETE for all orphans
(
session.query(target_class)
.filter(
~getattr(target_class, attr.property.backref).any()
)
.delete(synchronize_session=False)
)
| [
"konsta.vesterinen@gmail.com"
] | konsta.vesterinen@gmail.com |
e093a9d168e7b73683ab2dcdbec945c443c0eedf | 325fde42058b2b82f8a4020048ff910cfdf737d7 | /src/maintenance/azext_maintenance/tests/latest/test_maintenance_scenario.py | aba6a30c11220859b917d2ba8734bfbb18eeef80 | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | permissive | ebencarek/azure-cli-extensions | 46b0d18fe536fe5884b00d7ffa30f54c7d6887d1 | 42491b284e38f8853712a5af01836f83b04a1aa8 | refs/heads/master | 2023-04-12T00:28:44.828652 | 2021-03-30T22:34:13 | 2021-03-30T22:34:13 | 261,621,934 | 2 | 5 | MIT | 2020-10-09T18:21:52 | 2020-05-06T01:25:58 | Python | UTF-8 | Python | false | false | 12,891 | py | # --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
import os
from azure.cli.testsdk import ScenarioTest
from .. import try_manual, raise_if, calc_coverage
from azure.cli.testsdk import ResourceGroupPreparer
TEST_DIR = os.path.abspath(os.path.join(os.path.abspath(__file__), '..'))
@try_manual
def setup(test, rg):
pass
# EXAMPLE: /ApplyUpdates/put/ApplyUpdates_CreateOrUpdate
@try_manual
def step__applyupdates_put_applyupdates_createorupdate(test, rg):
test.cmd('az maintenance applyupdate create '
'--provider-name "Microsoft.Compute" '
'--resource-group "{rg}" '
'--resource-name "smdtest1" '
'--resource-type "virtualMachineScaleSets"',
checks=[])
# EXAMPLE: /ApplyUpdates/put/ApplyUpdates_CreateOrUpdateParent
@try_manual
def step__applyupdates_put_applyupdates_createorupdateparent(test, rg):
test.cmd('az maintenance applyupdate create '
'--provider-name "Microsoft.Compute" '
'--resource-group "{rg}" '
'--resource-name "smdvm1" '
'--resource-parent-name "smdtest1" '
'--resource-parent-type "virtualMachineScaleSets" '
'--resource-type "virtualMachines"',
checks=[])
# EXAMPLE: /ApplyUpdates/get/ApplyUpdates_Get
@try_manual
def step__applyupdates_get_applyupdates_get(test, rg):
test.cmd('az maintenance applyupdate show '
'--name "{myApplyUpdate}" '
'--provider-name "Microsoft.Compute" '
'--resource-group "{rg}" '
'--resource-name "smdtest1" '
'--resource-type "virtualMachineScaleSets"',
checks=[])
# EXAMPLE: /ApplyUpdates/get/ApplyUpdates_GetParent
@try_manual
def step__applyupdates_get_applyupdates_getparent(test, rg):
test.cmd('az maintenance applyupdate get-parent '
'--name "{myApplyUpdate}" '
'--provider-name "Microsoft.Compute" '
'--resource-group "{rg}" '
'--resource-name "smdvm1" '
'--resource-parent-name "smdtest1" '
'--resource-parent-type "virtualMachineScaleSets" '
'--resource-type "virtualMachines"',
checks=[])
# EXAMPLE: /MaintenanceConfigurations/put/MaintenanceConfigurations_CreateOrUpdateForResource
@try_manual
def step__maintenanceconfigurations_put_maintenanceconfigurations_createorupdateforresource(test, rg):
test.cmd('az maintenance configuration create '
'--location "westus2" '
'--maintenance-scope "OSImage" '
'--maintenance-window-duration "05:00" '
'--maintenance-window-expiration-date-time "9999-12-31 00:00" '
'--maintenance-window-recur-every "Day" '
'--maintenance-window-start-date-time "2020-04-30 08:00" '
'--maintenance-window-time-zone "Pacific Standard Time" '
'--namespace "Microsoft.Maintenance" '
'--visibility "Custom" '
'--resource-group "{rg}" '
'--resource-name "{myMaintenanceConfiguration2}"',
checks=[])
# EXAMPLE: /MaintenanceConfigurations/get/MaintenanceConfigurations_GetForResource
@try_manual
def step__maintenanceconfigurations_get_maintenanceconfigurations_getforresource(test, rg):
test.cmd('az maintenance configuration show '
'--resource-group "{rg}" '
'--resource-name "{myMaintenanceConfiguration2}"',
checks=[])
# EXAMPLE: /MaintenanceConfigurations/get/MaintenanceConfigurations_List
@try_manual
def step__maintenanceconfigurations_get_maintenanceconfigurations_list(test, rg):
test.cmd('az maintenance configuration list',
checks=[])
# EXAMPLE: /MaintenanceConfigurations/patch/MaintenanceConfigurations_UpdateForResource
@try_manual
def step__maintenanceconfigurations_patch_maintenanceconfigurations_updateforresource(test, rg):
test.cmd('az maintenance configuration update '
'--location "westus2" '
'--maintenance-scope "OSImage" '
'--maintenance-window-duration "05:00" '
'--maintenance-window-expiration-date-time "9999-12-31 00:00" '
'--maintenance-window-recur-every "Month Third Sunday" '
'--maintenance-window-start-date-time "2020-04-30 08:00" '
'--maintenance-window-time-zone "Pacific Standard Time" '
'--namespace "Microsoft.Maintenance" '
'--visibility "Custom" '
'--resource-group "{rg}" '
'--resource-name "{myMaintenanceConfiguration2}"',
checks=[])
# EXAMPLE: /ConfigurationAssignments/put/ConfigurationAssignments_CreateOrUpdate
@try_manual
def step__configurationassignments_put_configurationassignments_createorupdate(test, rg):
test.cmd('az maintenance assignment create '
'--maintenance-configuration-id "/subscriptions/{subscription_id}/resourcegroups/{rg}/providers/Microsoft.'
'Maintenance/maintenanceConfigurations/{myMaintenanceConfiguration2}" '
'--name "{myConfigurationAssignment2}" '
'--provider-name "Microsoft.Compute" '
'--resource-group "{rg}" '
'--resource-name "smdtest1" '
'--resource-type "virtualMachineScaleSets"',
checks=[])
# EXAMPLE: /ConfigurationAssignments/put/ConfigurationAssignments_CreateOrUpdateParent
@try_manual
def step__configurationassignments_put_configurationassignments_createorupdateparent(test, rg):
test.cmd('az maintenance assignment create '
'--maintenance-configuration-id "/subscriptions/{subscription_id}/resourcegroups/{rg}/providers/Microsoft.'
'Maintenance/maintenanceConfigurations/{myMaintenanceConfiguration}" '
'--name "{myConfigurationAssignment}" '
'--provider-name "Microsoft.Compute" '
'--resource-group "{rg}" '
'--resource-name "smdvm1" '
'--resource-parent-name "smdtest1" '
'--resource-parent-type "virtualMachineScaleSets" '
'--resource-type "virtualMachines"',
checks=[])
# EXAMPLE: /ConfigurationAssignments/get/ConfigurationAssignments_List
@try_manual
def step__configurationassignments_get_configurationassignments_list(test, rg):
test.cmd('az maintenance assignment list '
'--provider-name "Microsoft.Compute" '
'--resource-group "{rg}" '
'--resource-name "smdtest1" '
'--resource-type "virtualMachineScaleSets"',
checks=[])
# EXAMPLE: /ConfigurationAssignments/get/ConfigurationAssignments_ListParent
@try_manual
def step__configurationassignments_get_configurationassignments_listparent(test, rg):
test.cmd('az maintenance assignment list-parent '
'--provider-name "Microsoft.Compute" '
'--resource-group "{rg}" '
'--resource-name "smdtestvm1" '
'--resource-parent-name "smdtest1" '
'--resource-parent-type "virtualMachineScaleSets" '
'--resource-type "virtualMachines"',
checks=[])
# EXAMPLE: /ConfigurationAssignments/delete/ConfigurationAssignments_DeleteParent
@try_manual
def step__configurationassignments_delete_configurationassignments_deleteparent(test, rg):
test.cmd('az maintenance assignment delete -y '
'--name "{myConfigurationAssignment2}" '
'--provider-name "Microsoft.Compute" '
'--resource-group "{rg}" '
'--resource-name "smdvm1" '
'--resource-parent-name "smdtest1" '
'--resource-parent-type "virtualMachineScaleSets" '
'--resource-type "virtualMachines"',
checks=[])
# EXAMPLE: /PublicMaintenanceConfigurations/get/PublicMaintenanceConfigurations_GetForResource
@try_manual
def step__publicmaintenanceconfigurations_get_publicmaintenanceconfigurations_getforresource(test, rg):
test.cmd('az maintenance public-configuration show '
'--resource-name "{myMaintenanceConfiguration2}"',
checks=[])
# EXAMPLE: /PublicMaintenanceConfigurations/get/PublicMaintenanceConfigurations_List
@try_manual
def step__publicmaintenanceconfigurations_get_publicmaintenanceconfigurations_list(test, rg):
test.cmd('az maintenance public-configuration list',
checks=[])
# EXAMPLE: /Updates/get/Updates_List
@try_manual
def step__updates_get_updates_list(test, rg):
test.cmd('az maintenance update list '
'--provider-name "Microsoft.Compute" '
'--resource-group "{rg}" '
'--resource-name "smdtest1" '
'--resource-type "virtualMachineScaleSets"',
checks=[])
# EXAMPLE: /Updates/get/Updates_ListParent
@try_manual
def step__updates_get_updates_listparent(test, rg):
test.cmd('az maintenance update list-parent '
'--provider-name "Microsoft.Compute" '
'--resource-group "{rg}" '
'--resource-name "1" '
'--resource-parent-name "smdtest1" '
'--resource-parent-type "virtualMachineScaleSets" '
'--resource-type "virtualMachines"',
checks=[])
# EXAMPLE: /ConfigurationAssignments/delete/ConfigurationAssignments_Delete
@try_manual
def step__configurationassignments_delete_configurationassignments_delete(test, rg):
test.cmd('az maintenance assignment delete -y '
'--name "{myConfigurationAssignment2}" '
'--provider-name "Microsoft.Compute" '
'--resource-group "{rg}" '
'--resource-name "smdtest1" '
'--resource-type "virtualMachineScaleSets"',
checks=[])
# EXAMPLE: /MaintenanceConfigurations/delete/MaintenanceConfigurations_DeleteForResource
@try_manual
def step__maintenanceconfigurations_delete_maintenanceconfigurations_deleteforresource(test, rg):
test.cmd('az maintenance configuration delete -y '
'--resource-group "{rg}" '
'--resource-name "example1"',
checks=[])
@try_manual
def cleanup(test, rg):
pass
@try_manual
def call_scenario(test, rg):
setup(test, rg)
step__applyupdates_put_applyupdates_createorupdate(test, rg)
step__applyupdates_put_applyupdates_createorupdateparent(test, rg)
step__applyupdates_get_applyupdates_get(test, rg)
step__applyupdates_get_applyupdates_getparent(test, rg)
step__maintenanceconfigurations_put_maintenanceconfigurations_createorupdateforresource(test, rg)
step__maintenanceconfigurations_get_maintenanceconfigurations_getforresource(test, rg)
step__maintenanceconfigurations_get_maintenanceconfigurations_list(test, rg)
step__maintenanceconfigurations_patch_maintenanceconfigurations_updateforresource(test, rg)
step__configurationassignments_put_configurationassignments_createorupdate(test, rg)
step__configurationassignments_put_configurationassignments_createorupdateparent(test, rg)
step__configurationassignments_get_configurationassignments_list(test, rg)
step__configurationassignments_get_configurationassignments_listparent(test, rg)
step__configurationassignments_delete_configurationassignments_deleteparent(test, rg)
step__publicmaintenanceconfigurations_get_publicmaintenanceconfigurations_getforresource(test, rg)
step__publicmaintenanceconfigurations_get_publicmaintenanceconfigurations_list(test, rg)
step__updates_get_updates_list(test, rg)
step__updates_get_updates_listparent(test, rg)
step__configurationassignments_delete_configurationassignments_delete(test, rg)
step__maintenanceconfigurations_delete_maintenanceconfigurations_deleteforresource(test, rg)
cleanup(test, rg)
@try_manual
class MaintenanceClientScenarioTest(ScenarioTest):
@ResourceGroupPreparer(name_prefix='clitestmaintenance_examplerg'[:7], key='rg', parameter_name='rg')
def test_maintenance(self, rg):
self.kwargs.update({
'subscription_id': self.get_subscription_id()
})
self.kwargs.update({
'e9b9685d-78e4-44c4-a81c-64a14f9b87b6': 'e9b9685d-78e4-44c4-a81c-64a14f9b87b6',
'policy1': 'policy1',
'MaintenanceConfigurations_2': 'configuration1',
'workervmConfiguration': 'workervmConfiguration',
'ConfigurationAssignments_2': 'workervmPolicy',
})
call_scenario(self, rg)
calc_coverage(__file__)
raise_if()
| [
"noreply@github.com"
] | ebencarek.noreply@github.com |
66b67eedee61c580be05e07398fad94dcf884e02 | 716af8750041594a729461117cf1c6bcf28ae850 | /ioflo/base/odicting.py | b0d13f7a6c6464977d94718b15e3e1780a8db544 | [
"MIT",
"LicenseRef-scancode-warranty-disclaimer",
"Apache-2.0"
] | permissive | systronix/ioflo | 66c21dd134e7c7554d64658b5d7844bf0e401ba1 | 0b4397efede138216b518c46cca2e29e8c032dc1 | refs/heads/master | 2020-12-26T09:36:25.491800 | 2014-03-14T21:15:31 | 2014-03-14T21:15:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,146 | py | """Ordered dictionary class.
Modified 2007, 2008 by Samuel M Smith
Modifications CopyRight 2007 by Samuel M smith
Based on various ordered dict implementations found in the wild
"""
#print "module %s" % __name__
class odict(dict):
""" Dictionary whose keys maintain the order they are added to the dict. Not
order they are updated.
Similar to the collections OrderedDict but with more flexible initialization
and additional methods.
The first key added to the dictionary is the first key in .keys()
Changing the value of a key does not affect the order of the key
"""
__slots__ = ['_keys']
def __new__(cls, *args, **kwargs):
self = dict.__new__(cls,*args, **kwargs)
self._keys = []
return self
def __init__(self, *pa, **kwa):
""" Create new empty odict
odict() returns new empty dictionary.
odict(pa1, pa2, ...) creates new dictionary from
pa = tuple of positional args, (pa1, pa2, ...)
d = {}
for a in pa:
if isinstance(a, dict):
for k, v in a.items():
d[k] = v
else:
for k, v in a:
d[k] = v
if pa is a sequence of duples (k,v) then ordering is preserved
if pa is an ordered dictionary then ordering is preserved
if pa is not an ordered dictionary then ordering is not preserved
odict(k1 = v1, k2 = v2, ...) creates new dictionary from
kwa = dictionary of keyword args, {k1: v1, k2 : v2, ...}
d = {}
for k, v in kwa:
d[k] = v
in this case key ordering is not preserved due to limitation of python
"""
dict.__init__(self)
for a in pa:
if isinstance(a, dict): #positional arg is dictionary
for k in a:
self[k] = a[k]
else: #positional arg is sequence of duples (k,v)
for k, v in a:
self[k] = v
for k in kwa:
self[k] = kwa[k]
def __delitem__(self, key):
""" del x[y] """
dict.__delitem__(self, key)
self._keys.remove(key)
def __iter__(self):
""" iter(x)"""
for key in self._keys:
yield key
def __repr__(self):
""" repr(x)"""
itemreprs = ('%r: %r' % (key, self[key]) for key in self._keys)
return '{' + ', '.join(itemreprs) + '}'
def __setitem__(self, key, val):
""" x[key]=val"""
dict.__setitem__(self, key, val)
if not hasattr(self, '_keys'):
self._keys = [key]
if key not in self._keys:
self._keys.append(key)
def __getnewargs__(self):
"""Needed to force __new__ which creates _keys.
if empty odict then __getstate__ returns empty list which is logically false so
__setstate__ is not called.
"""
return tuple()
def __getstate__(self):
""" return state as items list. need this so pickle works since defined slots"""
return self.items()
def __setstate__(self, state):
"""restore from state items list"""
self.__init__(state)
def append(self, key, item):
""" D[key] = item."""
if key in self:
raise KeyError('append(): key %r already in dictionary' % key)
self[key] = item
def clear(self):
""" Remove all items from odict"""
dict.clear(self)
self._keys = []
def copy(self):
""" Make a shallow copy of odict"""
items = [(key, self[key]) for key in self._keys]
return self.__class__(items) #creates new odict and populates with items
def create(self, *pa, **kwa):
"""create items in this odict but only if key not already existent
pa may be sequence of duples (k,v) or dict
kwa is dict of keyword arguments
"""
for a in pa:
if isinstance(a, dict): #positional arg is dictionary
for k in a:
if k not in self._keys:
self[k] = a[k]
else: #positional arg is sequence of duples (k,v)
for k, v in a:
if k not in self._keys:
self[k] = v
for k in kwa:
if k not in self._keys:
self[k] = kwa[k]
def insert(self, index, key, val):
""" Insert val at index if key not in odict"""
if key in self:
raise KeyError('Key %r already exists.' % key)
dict.__setitem__(self, key, val)
self._keys.insert(index, key)
def items(self):
return [(key, self[key]) for key in self._keys]
def iterkeys(self):
""" Return an iterator over the keys of odict"""
return iter(self)
def iteritems(self):
""" Return an iterator over the items (key, value) of odict."""
return ((key, self[key]) for key in self._keys)
def itervalues(self):
""" Return an iterator over the values of odict."""
return (self[key] for key in self._keys)
def keys(self):
""" Return the list of keys of odict."""
return self._keys[:]
def pop(self, key, *default):
""" Remove key and the associated item and return the associated value
If key not found return default if given otherwise raise KeyError
"""
value = dict.pop(self, key, *default)
if key in self._keys:
self._keys.remove(key)
return value
def popitem(self):
""" Remove and return last item (key, value) duple
If odict is empty raise KeyError
"""
try:
key = self._keys[-1]
except IndexError:
raise KeyError('Empty odict.')
value = self[key]
del self[key]
return (key, value)
def reorder(self, other):
""" Update values in this odict based on the `other` odict or dict.
reorder is ignored if other is not an odict
"""
if not isinstance(other, odict):
raise ValueError('other must be an odict')
if other is self:
#raise ValueError('other cannot be the same odict')
pass #updating with self makes no changes
dict.update(self, other)
keys = self._keys
for key in other:
if key in keys:
keys.remove(key)
keys.append(key)
def setdefault(self, key, default=None):
""" If key in odict, return value at key
Otherwise set value at key to default and return default
"""
value = dict.setdefault(self, key, default)
if key not in self._keys:
self._keys.append(key)
return value
def update(self, *pa, **kwa):
"""Update values in this odict
pa may be sequence of duples (k,v) or dict
kwa is dict of keyword arguments
"""
for a in pa:
if isinstance(a, dict): #positional arg is dictionary
for k in a:
self[k] = a[k]
else: #positional arg is sequence of duples (k,v)
for k, v in a:
self[k] = v
for k in kwa:
self[k] = kwa[k]
def values(self):
return [self[key] for key in self._keys]
import optimize
optimize.bind_all(odict)
def TestPickle():
"""tests ability of odict to be pickled and unpickled
New-style types can provide a __getnewargs__() method that is used for protocol 2.
Note that last phrase about requiring protocol 2. Your
example works if you add a third parameter to pickle.dump()
with the value of 2. Version 2 is not default.
"""
import pickle
import StringIO
x = odict([('z',1),('a',2),('r',3)])
s = StringIO.StringIO()
pickle.dump(x,s,2)
s.seek(0)
y = pickle.load(s)
print x
print y
#empty odict
x = odict()
s = StringIO.StringIO()
pickle.dump(x,s,2)
s.seek(0)
y = pickle.load(s)
print x
print y
def Test():
"""Self test
"""
seq = [('b', 1), ('c', 2), ('a', 3)]
dct = {}
for k,v in seq:
dct[k] = v
odct = odict()
for k,v in seq:
odct[k] = v
print "Intialized from sequence of duples 'seq' = %s" % seq
x = odict(seq)
print " odict(seq) = %s" % x
print "Initialized from unordered dictionary 'dct' = %s" % dct
x = odict(dct)
print " odict(dct) = %s" % x
print "Initialized from ordered dictionary 'odct' = %s" % odct
x = odict(odct)
print " odict(odct) = %s" % x
print "Initialized from keyword arguments 'b = 1, c = 2, a = 3'"
x = odict(b = 1, c = 2, a = 3)
print " odict(b = 1, c = 2, a = 3) = %s" % x
print "Initialized from mixed arguments"
x = odict(odct, seq, [('e', 4)], d = 5)
print " odict(odct, seq, d = 4) = %s" % x
| [
"smith.samuel.m@gmail.com"
] | smith.samuel.m@gmail.com |
d746fe4996011cd8732a10c60d661dbd2bc53eff | bb1e0e89fcf1f1ffb61214ddf262ba327dd10757 | /plotly_study/graph_objs/waterfall/increasing/__init__.py | bacb03f40d90248bd3aad08622978e5ad5d72d1e | [
"MIT"
] | permissive | lucasiscovici/plotly_py | ccb8c3ced89a0f7eccf1ae98551fa712460033fe | 42ab769febb45fbbe0a3c677dc4306a4f59cea36 | refs/heads/master | 2020-09-12T05:43:12.363609 | 2019-12-02T15:13:13 | 2019-12-02T15:13:13 | 222,328,180 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,415 | py | from plotly_study.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Marker(_BaseTraceHierarchyType):
# color
# -----
@property
def color(self):
"""
Sets the marker color of all increasing values.
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["color"]
@color.setter
def color(self, val):
self["color"] = val
# line
# ----
@property
def line(self):
"""
The 'line' property is an instance of Line
that may be specified as:
- An instance of plotly_study.graph_objs.waterfall.increasing.marker.Line
- A dict of string/value properties that will be passed
to the Line constructor
Supported dict properties:
color
Sets the line color of all increasing values.
width
Sets the line width of all increasing values.
Returns
-------
plotly_study.graph_objs.waterfall.increasing.marker.Line
"""
return self["line"]
@line.setter
def line(self, val):
self["line"] = val
# property parent name
# --------------------
@property
def _parent_path_str(self):
return "waterfall.increasing"
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
color
Sets the marker color of all increasing values.
line
plotly_study.graph_objects.waterfall.increasing.marker.Line
instance or dict with compatible properties
"""
def __init__(self, arg=None, color=None, line=None, **kwargs):
"""
Construct a new Marker object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
plotly_study.graph_objs.waterfall.increasing.Marker
color
Sets the marker color of all increasing values.
line
plotly_study.graph_objects.waterfall.increasing.marker.Line
instance or dict with compatible properties
Returns
-------
Marker
"""
super(Marker, self).__init__("marker")
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly_study.graph_objs.waterfall.increasing.Marker
constructor must be a dict or
an instance of plotly_study.graph_objs.waterfall.increasing.Marker"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
# Import validators
# -----------------
from plotly_study.validators.waterfall.increasing import marker as v_marker
# Initialize validators
# ---------------------
self._validators["color"] = v_marker.ColorValidator()
self._validators["line"] = v_marker.LineValidator()
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("color", None)
self["color"] = color if color is not None else _v
_v = arg.pop("line", None)
self["line"] = line if line is not None else _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False
__all__ = ["Marker", "marker"]
from plotly_study.graph_objs.waterfall.increasing import marker
| [
"you@example.com"
] | you@example.com |
789c0fd16ea82c8264607f3c813fe7c1703ceb81 | 660e35c822423685aea19d038daa8356722dc744 | /party/category.py | a35b8795bf2973d2c3aa84d30eef643b06b6e910 | [] | no_license | saifkazi/tryton_modules | a05cb4a90ae2c46ba39d60d2005ffc18ce5e44bb | 94bd3a4e3fd86556725cdff33b314274dcb20afd | refs/heads/main | 2023-05-05T12:20:02.059236 | 2021-05-19T10:46:37 | 2021-05-19T10:46:37 | 368,768,310 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,462 | py | # This file is part of Tryton. The COPYRIGHT file at the top level of
# this repository contains the full copyright notices and license terms.
from sql.conditionals import Coalesce
from sql.operators import Equal
from trytond.model import (
ModelView, ModelSQL, DeactivableMixin, fields, Exclude, tree)
class Category(DeactivableMixin, tree(separator=' / '), ModelSQL, ModelView):
"Category"
__name__ = 'party.category'
name = fields.Char(
"Name", required=True, translate=True,
help="The main identifier of the category.")
parent = fields.Many2One(
'party.category', "Parent", select=True,
help="Add the category below the parent.")
childs = fields.One2Many(
'party.category', 'parent', "Children",
help="Add children below the category.")
@classmethod
def __setup__(cls):
super(Category, cls).__setup__()
t = cls.__table__()
cls._sql_constraints = [
('name_parent_exclude',
Exclude(t, (t.name, Equal), (Coalesce(t.parent, -1), Equal)),
'party.msg_category_name_unique'),
]
cls._order.insert(0, ('name', 'ASC'))
@classmethod
def __register__(cls, module_name):
super(Category, cls).__register__(module_name)
table_h = cls.__table_handler__(module_name)
# Migration from 4.6: replace unique by exclude
table_h.drop_constraint('name_parent_uniq')
| [
"saif.kazi76@gmail.com"
] | saif.kazi76@gmail.com |
cf53335750949034c20cc3ef5786467e683305df | 9811904ef72f0832c5fce44444f8f3b106dea165 | /admin_tools_stats/migrations/0001_initial.py | 36a32afa4b3c225c0ee7912bdce6010276ffb40e | [
"MIT"
] | permissive | areski/django-admin-tools-stats | 3b8d9f39ba41dbe733076e6d1f62c69d328637ff | 20fb537388895ed1f0913805bca18b97723b7dc1 | refs/heads/develop | 2023-02-22T18:53:01.672623 | 2020-01-16T14:48:21 | 2020-01-16T14:48:21 | 2,348,691 | 214 | 41 | NOASSERTION | 2023-02-11T17:57:17 | 2011-09-08T14:11:07 | Python | UTF-8 | Python | false | false | 3,865 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2015-12-13 11:29
from __future__ import unicode_literals
from django.db import migrations, models
import jsonfield.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='DashboardStats',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('graph_key', models.CharField(help_text='it needs to be one word unique. ex. auth, mygraph', max_length=90, unique=True, verbose_name='graph key')),
('graph_title', models.CharField(db_index=True, help_text='heading title of graph box', max_length=90, verbose_name='graph title')),
('model_app_name', models.CharField(help_text='ex. auth / dialer_cdr', max_length=90, verbose_name='app name')),
('model_name', models.CharField(help_text='ex. User', max_length=90, verbose_name='model name')),
('date_field_name', models.CharField(help_text='ex. date_joined', max_length=90, verbose_name='date field name')),
('operation_field_name', models.CharField(blank=True, help_text='The field you want to aggregate, ex. amount', max_length=90, null=True, verbose_name='Operate field name')),
('type_operation_field_name', models.CharField(blank=True, choices=[(b'Count', b'Count'), (b'Sum', b'Sum'), (b'Avg', b'Avg'), (b'Max', b'Max'), (b'Min', b'Min'), (b'StdDev', b'StdDev'), (b'Variance', b'Variance')], help_text='choose the type operation what you want to aggregate, ex. Sum', max_length=90, null=True, verbose_name='Choose Type operation')),
('is_visible', models.BooleanField(default=True, verbose_name='visible')),
('created_date', models.DateTimeField(auto_now_add=True, verbose_name='date')),
('updated_date', models.DateTimeField(auto_now=True)),
],
options={
'db_table': 'dashboard_stats',
'verbose_name': 'dashboard stats',
'verbose_name_plural': 'dashboard stats',
},
),
migrations.CreateModel(
name='DashboardStatsCriteria',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('criteria_name', models.CharField(db_index=True, help_text='it needs to be one word unique. Ex. status, yesno', max_length=90, verbose_name='criteria name')),
('criteria_fix_mapping', jsonfield.fields.JSONField(blank=True, help_text='a JSON dictionary of key-value pairs that will be used for the criteria', null=True, verbose_name='fixed criteria / value')),
('dynamic_criteria_field_name', models.CharField(blank=True, help_text='ex. for call records - disposition', max_length=90, null=True, verbose_name='dynamic criteria field name')),
('criteria_dynamic_mapping', jsonfield.fields.JSONField(blank=True, help_text='a JSON dictionary of key-value pairs that will be used for the criteria', null=True, verbose_name='dynamic criteria / value')),
('created_date', models.DateTimeField(auto_now_add=True, verbose_name='date')),
('updated_date', models.DateTimeField(auto_now=True)),
],
options={
'db_table': 'dash_stats_criteria',
'verbose_name': 'dashboard stats criteria',
'verbose_name_plural': 'dashboard stats criteria',
},
),
migrations.AddField(
model_name='dashboardstats',
name='criteria',
field=models.ManyToManyField(blank=True, to='admin_tools_stats.DashboardStatsCriteria'),
),
]
| [
"areski@gmail.com"
] | areski@gmail.com |
cbce07708e421612df9f4943eec5efae3a595746 | 2a68ce2f0f47370e2f57b9279cc8e1aab85e26da | /trojsten/dbsanitizer/tests.py | 45308305cf9ed8198fdb56412d4331066df8d443 | [
"MIT"
] | permissive | trojsten/web | 52007c3d575b21603bf205c1e7294a482eedbf85 | 97b7b3ae3ac46be786bde9c49a2cae6609dbf50f | refs/heads/master | 2023-08-17T23:30:16.857469 | 2023-07-30T16:31:34 | 2023-07-30T16:31:34 | 10,618,952 | 6 | 10 | MIT | 2023-09-04T19:09:09 | 2013-06-11T10:04:10 | Python | UTF-8 | Python | false | false | 2,543 | py | import datetime
from django.test import TestCase
from trojsten.contests.models import Competition, Round, Semester, Task
from trojsten.people.models import User, UserProperty, UserPropertyKey
from .model_sanitizers import (
GeneratorFieldSanitizer,
TaskSanitizer,
UserPropertySanitizer,
UserSanitizer,
)
class GeneratorFieldSanitizerTest(TestCase):
def test_data_replaced_by_generated_data(self):
def fake_generator():
return "generated_data"
sanitized_data = GeneratorFieldSanitizer(fake_generator).sanitize("original_data")
self.assertEquals(sanitized_data, "generated_data")
class TaskSanitizerTest(TestCase):
def test_task_data_sanitized(self):
c = Competition.objects.create(name="ABCD")
s = Semester.objects.create(year=47, competition=c, number=1)
r = Round.objects.create(number=3, semester=s, visible=True, solutions_visible=True)
Task.objects.create(number=2, name="foo", round=r)
TaskSanitizer().sanitize()
sanitized_task = Task.objects.get()
self.assertNotEquals(sanitized_task.name, "foo")
class UserSanitizerTest(TestCase):
def test_user_data_sanitized(self):
User.objects.create(
username="foo",
password="pwd",
first_name="Ferko",
last_name="Mrkvicka",
birth_date=datetime.date(year=2000, month=1, day=1),
email="ferko@example.com",
)
UserSanitizer().sanitize()
sanitized_user = User.objects.get()
self.assertNotEquals(sanitized_user.username, "foo")
self.assertEquals(sanitized_user.password, "")
self.assertNotEquals(sanitized_user.first_name, "Ferko")
self.assertNotEquals(sanitized_user.last_name, "Mrkvicka")
self.assertNotEquals(sanitized_user.birth_date, datetime.date(year=2000, month=1, day=1))
self.assertNotEquals(sanitized_user.last_name, "ferko@example.com")
class UserPropertySanitizerTest(TestCase):
def test_userproperty_data_sanitized(self):
key = UserPropertyKey.objects.create(key_name="foo")
user = User.objects.create(username="user")
UserProperty.objects.create(user=user, key=key, value="bar")
UserPropertySanitizer().sanitize()
sanitized_userproperty = UserProperty.objects.get()
self.assertEquals(sanitized_userproperty.key, key)
self.assertNotEquals(sanitized_userproperty.value, "bar")
self.assertEquals(len(sanitized_userproperty.value), 3)
| [
"mhozza@gmail.com"
] | mhozza@gmail.com |
15737f4817cf53b326364b6d29fe9fd568947d70 | 517d461257edd1d6b239200b931c6c001b99f6da | /Circuit_Playground/CircuitPython/libraries/adafruit-circuitpython-bundle-6.x-mpy-20211013/examples/emc2101_lut_example.py | e40521c8205807f188e5d8c7ce4b8be76f169be6 | [] | no_license | cmontalvo251/Microcontrollers | 7911e173badff93fc29e52fbdce287aab1314608 | 09ff976f2ee042b9182fb5a732978225561d151a | refs/heads/master | 2023-06-23T16:35:51.940859 | 2023-06-16T19:29:30 | 2023-06-16T19:29:30 | 229,314,291 | 5 | 3 | null | null | null | null | UTF-8 | Python | false | false | 843 | py | # SPDX-FileCopyrightText: 2020 Bryan Siepert, written for Adafruit Industries
#
# SPDX-License-Identifier: MIT
import time
import board
from adafruit_emc2101.emc2101_lut import EMC2101_LUT as EMC2101
i2c = board.I2C() # uses board.SCL and board.SDA
FAN_MAX_RPM = 1700
emc = EMC2101(i2c)
emc.manual_fan_speed = 50
time.sleep(1)
emc.lut[27] = 25
emc.lut[34] = 50
emc.lut[42] = 75
emc.lut_enabled = True
emc.forced_temp_enabled = True
print("Lut:", emc.lut)
emc.forced_ext_temp = 28 # over 25, should be 25%
time.sleep(3)
print("25%% duty cycle is %f RPM:" % emc.fan_speed)
emc.forced_ext_temp = 35 # over 30, should be 50%
time.sleep(3)
print("50%% duty cycle is %f RPM:" % emc.fan_speed)
emc.forced_ext_temp = 43 # over 42, should be 75%
time.sleep(3)
print("75%% duty cycle is %f RPM:" % emc.fan_speed)
| [
"cmontalvo@southalabama.edu"
] | cmontalvo@southalabama.edu |
4445e59c151d0526998628fc5e6f48826e731efe | 9e988c0dfbea15cd23a3de860cb0c88c3dcdbd97 | /sdBs/AllRun/sdssj_132556.93-032329.6/sdB_sdssj_132556.93-032329.6_lc.py | 40f5f972dc38f9ea75f637b807ff08d9e12c39a9 | [] | no_license | tboudreaux/SummerSTScICode | 73b2e5839b10c0bf733808f4316d34be91c5a3bd | 4dd1ffbb09e0a599257d21872f9d62b5420028b0 | refs/heads/master | 2021-01-20T18:07:44.723496 | 2016-08-08T16:49:53 | 2016-08-08T16:49:53 | 65,221,159 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 371 | py | from gPhoton.gAperture import gAperture
def main():
gAperture(band="NUV", skypos=[201.487208,-3.391556], stepsz=30., csvfile="/data2/fleming/GPHOTON_OUTPU/LIGHTCURVES/sdBs/sdB_sdssj_132556.93-032329.6/sdB_sdssj_132556.93-032329.6_lc.csv", maxgap=1000., overwrite=True, radius=0.00555556, annulus=[0.005972227,0.0103888972], verbose=3)
if __name__ == "__main__":
main()
| [
"thomas@boudreauxmail.com"
] | thomas@boudreauxmail.com |
553f97fb014b172cd5365d8b22bf2ebbb4f7bd97 | 0d0b8236ff06027037d2a8a724d13a1866a9999c | /0x11-python-network_1/100-github_commits.py | 246b7b51fe87ce6eb9f1acda243b8b3831205621 | [] | no_license | Danucas/holbertonschool-higher_level_programming | 3f8e81a610bf80890280b764362b56ad8803e2df | b963d41af8bccf764dff67f80ea16f1184c0a96d | refs/heads/master | 2022-07-31T05:53:57.046789 | 2020-05-21T21:29:54 | 2020-05-21T21:29:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 461 | py | #!/usr/bin/python3
"""
Python script to fetch an https request
"""
import requests
import sys
def main():
url = "https://api.github.com/repos/{}/{}/commits"
url = url.format(sys.argv[2], sys.argv[1])
response = requests.get(url)
commits = response.json()
for com in commits[:10]:
sha = com['sha']
author = com['commit']['author']['name']
print('{}: {}'.format(sha, author))
if __name__ == '__main__':
main()
| [
"danrodcastillo1994@gmail.com"
] | danrodcastillo1994@gmail.com |
4994f8e2ea7c14a3f49a1cc6ec20ccf81e3033c5 | 5779d964d5ee42b586697a640ff0f977e0fa1e55 | /synclient/model/paginated_results_of_submission_status.py | dfbe22b68739ed6283ac18d415da2dae69a78377 | [] | no_license | thomasyu888/synpy-sdk-client | 03db42c3c8411c8c1f8808e1145d7c2a8bcc3df1 | d1e19e26db5376c78c4ce0ff181ac3c4e0709cbb | refs/heads/main | 2023-02-28T09:33:12.386220 | 2021-02-02T15:09:59 | 2021-02-02T15:09:59 | 333,744,741 | 3 | 0 | null | 2021-01-30T12:10:50 | 2021-01-28T11:57:48 | Python | UTF-8 | Python | false | false | 7,401 | py | """
Platform Repository Service
Platform Repository Service - Sage Bionetworks Platform # noqa: E501
The version of the OpenAPI document: develop-SNAPSHOT
Contact: thomas.yu@sagebionetworks.org
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
import nulltype # noqa: F401
from synclient.model_utils import ( # noqa: F401
ApiTypeError,
ModelComposed,
ModelNormal,
ModelSimple,
cached_property,
change_keys_js_to_python,
convert_js_args_to_python_args,
date,
datetime,
file_type,
none_type,
validate_get_composed_info,
)
def lazy_import():
from synclient.model.submission_status_model import SubmissionStatusModel
globals()['SubmissionStatusModel'] = SubmissionStatusModel
class PaginatedResultsOfSubmissionStatus(ModelNormal):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
Attributes:
allowed_values (dict): The key is the tuple path to the attribute
and the for var_name this is (var_name,). The value is a dict
with a capitalized key describing the allowed value and an allowed
value. These dicts store the allowed enum values.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
discriminator_value_class_map (dict): A dict to go from the discriminator
variable value to the discriminator class name.
validations (dict): The key is the tuple path to the attribute
and the for var_name this is (var_name,). The value is a dict
that stores validations for max_length, min_length, max_items,
min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum,
inclusive_minimum, and regex.
additional_properties_type (tuple): A tuple of classes accepted
as additional properties values.
"""
allowed_values = {
}
validations = {
}
additional_properties_type = None
_nullable = False
@cached_property
def openapi_types():
"""
This must be a method because a model may have properties that are
of type self, this must run after the class is loaded
Returns
openapi_types (dict): The key is attribute name
and the value is attribute type.
"""
lazy_import()
return {
'results': ([SubmissionStatusModel],), # noqa: E501
'total_number_of_results': (int,), # noqa: E501
}
@cached_property
def discriminator():
return None
attribute_map = {
'results': 'results', # noqa: E501
'total_number_of_results': 'totalNumberOfResults', # noqa: E501
}
_composed_schemas = {}
required_properties = set([
'_data_store',
'_check_type',
'_spec_property_naming',
'_path_to_item',
'_configuration',
'_visited_composed_classes',
])
@convert_js_args_to_python_args
def __init__(self, *args, **kwargs): # noqa: E501
"""PaginatedResultsOfSubmissionStatus - a model defined in OpenAPI
Keyword Args:
_check_type (bool): if True, values for parameters in openapi_types
will be type checked and a TypeError will be
raised if the wrong type is input.
Defaults to True
_path_to_item (tuple/list): This is a list of keys or values to
drill down to the model in received_data
when deserializing a response
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_configuration (Configuration): the instance to use when
deserializing a file_type parameter.
If passed, type conversion is attempted
If omitted no type conversion is done.
_visited_composed_classes (tuple): This stores a tuple of
classes that we have traveled through so that
if we see that class again we will not use its
discriminator again.
When traveling through a discriminator, the
composed schema that is
is traveled through is added to this set.
For example if Animal has a discriminator
petType and we pass in "Dog", and the class Dog
allOf includes Animal, we move through Animal
once using the discriminator, and pick Dog.
Then in Dog, we will make an instance of the
Animal class but this time we won't travel
through its discriminator because we passed in
_visited_composed_classes = (Animal,)
results ([SubmissionStatusModel]): The the id of the entity to which this reference refers. [optional] # noqa: E501
total_number_of_results (int): Calculating the actual totalNumberOfResults is not longer supported. Therefore, for each page, the totalNumberOfResults is estimated using the current page, limit, and offset. When the page size equals the limit, the totalNumberOfResults will be offset+pageSize+ 1. Otherwise, the totalNumberOfResults will be offset+pageSize. . [optional] # noqa: E501
"""
_check_type = kwargs.pop('_check_type', True)
_spec_property_naming = kwargs.pop('_spec_property_naming', False)
_path_to_item = kwargs.pop('_path_to_item', ())
_configuration = kwargs.pop('_configuration', None)
_visited_composed_classes = kwargs.pop('_visited_composed_classes', ())
if args:
raise ApiTypeError(
"Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % (
args,
self.__class__.__name__,
),
path_to_item=_path_to_item,
valid_classes=(self.__class__,),
)
self._data_store = {}
self._check_type = _check_type
self._spec_property_naming = _spec_property_naming
self._path_to_item = _path_to_item
self._configuration = _configuration
self._visited_composed_classes = _visited_composed_classes + (self.__class__,)
for var_name, var_value in kwargs.items():
if var_name not in self.attribute_map and \
self._configuration is not None and \
self._configuration.discard_unknown_keys and \
self.additional_properties_type is None:
# discard variable.
continue
setattr(self, var_name, var_value)
| [
"thomas.yu@sagebase.org"
] | thomas.yu@sagebase.org |
77dbd599f3c0b21c50f8a630b45f745368c7c237 | 663d429e1f552ef958d37cfe4a0707354b544a9a | /rimi_linux_mysql/tcp_ip_socket/Io_test/io_select_test/test5.py | 5305eb8f5071b28540bcab38f841a1e131f9fe30 | [] | no_license | nie000/mylinuxlearn | 72a33024648fc4393442511c85d7c439e169a960 | 813ed75a0018446cd661001e8803f50880d09fff | refs/heads/main | 2023-06-20T07:46:11.842538 | 2021-07-15T13:46:43 | 2021-07-15T13:46:43 | 307,377,665 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 578 | py | import socket
import select
r = []
server = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
server.bind(('127.0.0.1',28889))
server.listen(1)
r.append(server)
while True:
rlist,wlist,xlist = select.select(r,[],[])
for i in rlist:
if i is server:
con,add = i.accept()
print(add)
r.append(con)
else:
try:
m = i.recv(1024)
if not m:
i.close()
r.remove(i)
continue
except:
r.remove(i) | [
"1073438012@qq.com"
] | 1073438012@qq.com |
e6a4e9ddf7a5f4d895cab6048734f09fac8132c9 | f7a797f88c197bcab75d5906b1e5f655ef69ebec | /WDC 2021 Jan 31.py | 91bb7a672a0b22feda50cd41158b036b340a8f2f | [] | no_license | ramlaxman/wdc-2021-jan-advanced-python | 3bcac28c0d5d6bdbb53ef17dc5e9db4522c886cd | e96ef09b9a5e6366f780af7a030aecf9fb252a96 | refs/heads/main | 2023-04-13T04:51:26.329823 | 2021-02-23T07:32:43 | 2021-02-23T07:32:43 | 342,255,655 | 0 | 0 | null | 2023-04-04T00:15:56 | 2021-02-25T13:36:08 | null | UTF-8 | Python | false | false | 11,205 | py | #!/usr/bin/env python
# coding: utf-8
# In[1]:
print('Hello, world!')
# # Agenda
#
# 0. About assignment, `==` and `is`
# 1. Basic data structures — how they work
# 2. `Decimal`
# 3. `namedtuple`
# 4. Variations on `dict`
# In[2]:
import sys
sys.version
# In[3]:
x = 100
y = 100
x == y
# In[4]:
x is y
# In[5]:
x = 1000
y = 1000
x == y
# In[6]:
x is y
# In[7]:
x == y # x.__eq__(y)
# In[8]:
x is y
# In[9]:
id(x)
# In[10]:
id(y)
# In[11]:
x is y # id(x) == id(y)
# In[12]:
x = 100
y = 100
x is y
# In[13]:
x = 1000
y = 1000
x is y
# In[14]:
x = None
if x == None: # non-Pythonic
print('Yes, it is None!')
# In[15]:
if x is None: # VERY Pythonic
print('Yes, it is None!')
# In[16]:
x = 100
y = x
x = 200
y
# In[17]:
x = 100
x += 5
x
# In[18]:
x = 'abcde'
x[0] = '!' # str is immutable
# In[19]:
x = 'fghij'
# In[20]:
import sys
x = 0
sys.getsizeof(x)
# In[21]:
x = 1234567890
sys.getsizeof(x)
# In[22]:
x = x ** 10
sys.getsizeof(x)
# In[23]:
x = x ** 100
sys.getsizeof(x)
# In[1]:
a = 1
type(a)
# In[2]:
a = 1.0
type(a)
# In[3]:
0.1 + 0.2
# In[4]:
0.1 + 0.2 == 0.3
# In[5]:
round(0.1 + 0.2, 2)
# In[6]:
round(0.1 + 0.2, 2) == 0.3
# In[7]:
# BCD -- binary coded decimals
# In[8]:
123 # 0b1 0b2 0b3
# In[9]:
from decimal import Decimal
a = Decimal('0.1')
b = Decimal('0.2')
a + b
# In[10]:
float(a+b)
# In[12]:
import sys
sys.getsizeof(a)
# In[13]:
sys.getsizeof(b)
# In[14]:
sys.getsizeof(0.1)
# In[15]:
a = Decimal(0.1)
b = Decimal(0.2)
a + b
# In[16]:
a
# In[17]:
b
# In[18]:
1/3
# In[19]:
from math import isclose
# In[20]:
isclose(0.1+0.2, 0.3)
# In[21]:
isclose(0.1+0.2, 0.3, rel_tol=0.000000000000000001)
# In[22]:
isclose(0.1+0.2, 0.3, rel_tol=0.1)
# In[24]:
x = 0.1
y = 0.2
f'{x} + {y} = {x+y:0.2}'
# In[25]:
x = 'abcd'
y = 'abcd'
x == y
# In[26]:
x is y
# In[27]:
x = 'abcd' * 5000
y = 'abcd' * 5000
x == y
# In[28]:
x is y
# In[29]:
x = 'ab.cd'
y = 'ab.cd'
x == y
# In[30]:
x is y
# In[31]:
a = 100
b = [10, 20, 30]
# In[32]:
globals()
# In[33]:
globals()['a']
# In[34]:
globals()['b']
# In[35]:
globals()['a'] = 987
a
# In[36]:
print(a)
# In[37]:
# interning -- cache of string
# In[38]:
x = 'abcde'
y = 'abcde'
x is y
# In[39]:
x = 'abcde' * 2000
y = 'abcde' * 2000
x is y
# In[40]:
x = 'ab.cd'
y = 'ab.cd'
# In[41]:
x is y
# In[43]:
x = sys.intern('ab.cde')
y = sys.intern('ab.cde')
# In[44]:
x is y
# In[45]:
for i in range(5):
print(x) # print(globals()['x'])
# In[46]:
# f-string
# str.format
# str % ('a', 'b') -- printf-ish
# In[47]:
x = 100
y = [10, 20, 30]
z = {'a':1, 'b':2}
s = f'x = {x}, y = {y}, z = {z}'
# In[48]:
print(s)
# In[49]:
d = {'a':1, 'b':200, 'cdefg': 3, 'hijklmn': 45678}
for key, value in d.items():
print(f'{key}: {value}')
# In[50]:
for key, value in d.items():
print(f'{key:8}: {value:8}')
# In[51]:
for key, value in d.items():
print(f'{key:8}{value:8}')
# In[52]:
for key, value in d.items():
print(f'{key:.<8}{value:*>8}')
# In[54]:
for key, value in d.items():
print(f'{key:.>8} {value:*<8}')
# In[55]:
f = 123456.7890123
print(f'The number is {f}.')
# In[58]:
print(f'The number is {f:6.5}.')
# In[59]:
x
# In[60]:
y
# In[61]:
z
# In[62]:
print(f'x = {x}, y = {y}, z = {z}')
# In[63]:
# From Python 3.8, we can do this:
print(f'{x=}, {y=}, {z=}')
# In[64]:
mylist = [10, 20, 30, 40, 50]
# In[65]:
type(mylist)
# In[66]:
mylist.append(60)
mylist
# In[68]:
mylist = []
for i in range(60):
print(f'{i}: len(mylist) = {len(mylist)}, sys.getsizeof(mylist) = {sys.getsizeof(mylist)}')
mylist.append(i)
# In[69]:
[1] * 100
# In[70]:
# sequence -- string, list, tuple
t = (10, 20, 30, 40, 50)
type(t)
# In[71]:
# no parens needed!
t = 10, 20, 30, 40, 50
t
# In[72]:
type(t)
# In[73]:
t = ([10, 20, 30],
[100, 200,300, 400, 500])
t
# In[74]:
t[0] = '!'
# In[75]:
t[0].append(40)
t
# In[76]:
p = ('Reuven', 'Lerner', 46)
p
# In[77]:
p[0]
# In[79]:
p[1]
# In[80]:
p[2]
# In[81]:
# named tuples
# In[82]:
from collections import namedtuple
Person = namedtuple('Person', ['first', 'last', 'shoesize'])
# In[83]:
class Foo:
pass
# In[84]:
Foo.__name__
# In[87]:
# namedtuple returns a new class
# the list of strings shows the fields that we can create
Person = namedtuple('Person',
['first', 'last', 'shoesize'])
# In[88]:
Person.__name__
# In[89]:
p = Person('Reuven', 'Lerner', 46)
# In[90]:
p
# In[91]:
p[0]
# In[92]:
p[1]
# In[93]:
p[2]
# In[94]:
p.first
# In[95]:
p.last
# In[96]:
p.shoesize
# In[97]:
type(Person)
# In[98]:
type(Person)
# In[99]:
p1 = Person('first1', 'last1', 1)
p2 = Person('first2', 'last2', 2)
# In[100]:
p1
# In[101]:
p2
# In[102]:
type(p1)
# In[103]:
type(p2)
# In[104]:
p1.first
# In[105]:
p1.first = 'asdfafafa'
# In[106]:
p1._replace(first='zzzzz')
# In[107]:
p1 = p1._replace(first='zzzzz')
p1
# In[108]:
t
# In[109]:
t[0].append(50)
t
# In[110]:
t[0] += [60, 70, 80] # __iadd__ # (1) adds (2) assigns
# In[111]:
t
# In[112]:
t[0].extend([90, 91, 92])
t
# In[113]:
# tuple with 1 element
t = (10,)
type(t)
# In[114]:
t = (10)
type(t)
# # Exercise: Bookstore
#
# 1. Create, using `namedtuple`, a new `Book` class, which has three attributes: `title`, `author`, and `price`.
# 2. Create a list of `Book` objects (3-4 is fine), and put them inain a list.
# 3. Ask the user repeatedly to enter the name of a book they want to buy.
# - If the book is in inventory, then print all of its details, and add the price to the total
# - If the book is *not* in inventory, then tell the user
# - If we get an empty string, then we stop asking
# 4. At the end, tell the user the final price.
# In[115]:
from collections import namedtuple
Book = namedtuple('Book', ['title', 'author', 'price'])
b1 = Book('title1', 'author1', 50)
b2 = Book('title2', 'author1', 100)
b3 = Book('title3', 'author2', 200)
all_books = [b1, b2, b3]
all_books
# In[118]:
total = 0
while True:
s = input('Enter book title: ').strip()
if not s: # if s is empty, then exit from the loop
break
found_book = False
for one_book in all_books:
if one_book.title == s:
print(f'Found {s} by {one_book.author}, price {one_book.price}')
total += one_book.price
found_book = True
break
if not found_book:
print(f'Did not find {s}')
print(f'Total is {total}')
# In[119]:
total = 0
while True:
s = input('Enter book title: ').strip()
if not s: # if s is empty, then exit from the loop
break
for one_book in all_books:
if one_book.title == s:
print(f'Found {s} by {one_book.author}, price {one_book.price}')
total += one_book.price
break
else: # got_to_end_of_loop_without_encountering_a_break
print(f'Did not find {s}')
print(f'Total is {total}')
# In[121]:
total = 0
# := "assignment expression"
# "walrus"
# starting with Python 3.8
while s := input('Enter book title: ').strip():
for one_book in all_books:
if one_book.title == s:
print(f'Found {s} by {one_book.author}, price {one_book.price}')
total += one_book.price
break
else: # got_to_end_of_loop_without_encountering_a_break
print(f'Did not find {s}')
print(f'Total is {total}')
# In[123]:
if x := 5:
print(x)
# In[124]:
print(f'{b1=}, {b2=}, {b3=}')
# In[125]:
# unpacking
mylist = [10, 20, 30]
x,y,z = mylist
# In[126]:
print(f'{x=}, {y=}, {z=}')
# In[127]:
title, author, price = b1
# In[128]:
title
# In[129]:
author
# In[130]:
price
# In[131]:
total = 0
# := "assignment expression"
# "walrus"
# starting with Python 3.8
while s := input('Enter book title: ').strip():
for title, author, price in all_books:
if title == s:
print(f'Found {s} by {author}, price {price}')
total += price
break
else: # got_to_end_of_loop_without_encountering_a_break
print(f'Did not find {s}')
print(f'Total is {total}')
# In[132]:
mylist = [10, 20, 30, 40, 50, 60]
x,y,z = mylist
# In[133]:
x, *y, z = mylist
# In[134]:
x
# In[135]:
z
# In[136]:
y
# In[137]:
x,y,*z = mylist
# In[138]:
z
# In[139]:
x
# In[140]:
y
# In[141]:
d = {'a':1, 'b':2, 'c':3}
# In[142]:
# keys must be immutable -- typically, int, float, or string
# values can be anything at all
# In[143]:
globals()
# In[144]:
d['a']
# In[145]:
d['b']
# In[146]:
d['c']
# In[147]:
k = 'b'
d[k]
# In[148]:
'b' in d
# In[149]:
3 in d
# In[151]:
k = 'b'
if k in d:
print(d[k])
else:
print(f'{k} is not a key in d')
# In[152]:
k = 'v'
if k in d:
print(d[k])
else:
print(f'{k} is not a key in d')
# In[ ]:
d.get('b') # if 'b' in d, we get d['b']
# In[154]:
d.get('v') # if 'b' in d, we get d['b']... otherwise None
# In[155]:
print(d.get('v'))
# In[156]:
d.get('v', 'No such key in d')
# # Exercise: Travel
#
# 1. Start with an empty dictionary, `all_places`.
# 2. Ask the user, repeatedly, to give us a city + country in the form `city, country`
# 3. If we got an empty string, we stop asking.
# 4. If we got a string without `,`, scold the user and try again.
# 5. Otherwise, take the city and country, and add to the dict:
# - The countries will be keys (as string)
# - The cities will be in a list.
# 6. At the end, print all countries, and then all cities within those countries.
#
# Example:
#
# Where have you gone: New York, USA
# Where have you gone: Chicago, USA
# Where have you gone: Beijing, China
# Where have you gone: Shanghai, China
# Where have you gone: [ENTER]
#
# Our data structure:
#
# {'USA': ['New York', 'Chicago'], 'China': ['Beijing', 'Shanghai'}
#
# USA
# New York
# Chicago
# China
# Beijing
# Shanghai
#
# In[159]:
all_places = {}
while s := input('Enter place: ').strip():
if ',' not in s:
print(f'Enter "city, country"')
continue
city, country = s.split(',')
city = city.strip()
country = country.strip()
# if country not in all_places:
# all_places[country.strip()] = []
all_places.setdefault(country, [])
if city in all_places[country]:
print(f'We already got {city}!')
continue
all_places[country].append(city)
for country, all_cities in all_places.items():
print(country)
for one_city in all_cities:
print(f'\t{one_city}')
# In[158]:
all_places
# In[ ]:
| [
"reuven@lerner.co.il"
] | reuven@lerner.co.il |
6aa870cef6388448f00bc19edcd80f5e465a6ca7 | fa4df5c5790b4c7af37c46ef82aeac1230e36a0e | /VRD/backend/factory/modifier_factory.py | b0b36c65ff883eab7821c81539e9fc22790904d7 | [] | no_license | Gorgious56/VRD | 32d548b6f2e096b151c49f83b80c48c351b1265d | f7d5bbb665ebaa4f3b1d274909c15fffb7b74bf5 | refs/heads/master | 2022-11-15T10:14:39.196704 | 2020-07-18T15:29:30 | 2020-07-18T15:29:30 | 280,684,740 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 902 | py | import bpy
from typing import Iterable
class ModSettings:
def __init__(self, mod_type: str, mod_name: str, attributes: dict = None):
self.mod_type = mod_type
self.mod_name = mod_name
self.attributes = attributes
def add_modifier(
obj: bpy.types.Object,
settings: ModSettings,
replace: bool = True) -> None:
if settings.mod_name in obj.modifiers and not replace:
return
new_mod = obj.modifiers.new(name=settings.mod_name, type=settings.mod_type)
if settings.attributes:
for attr, value in settings.attributes.items():
if hasattr(new_mod, attr):
setattr(new_mod, attr, value)
new_mod.show_expanded = False
def add_modifiers(
obj: bpy.types.Object,
mods: Iterable[ModSettings],
replace: bool = True) -> None:
(add_modifier(obj, mod, replace) for mod in mods)
| [
"nathan.hild@gmail.com"
] | nathan.hild@gmail.com |
2986f1a06afe7c78517613346f8667e2a57ab23a | 525a0588ed3eb7ae5843e55522b6cc83ac2abd59 | /biodivhack/urls.py | 4febb1b8d565cc1db71a64ad24b5e976e748dafb | [] | no_license | dvoong/biodivhack | 1601d51dc2a34b5a8002bbf7efd3faccfd5b93e1 | 618ce01016d212ed0463957180ee06c0b9d62fa0 | refs/heads/master | 2020-12-24T16:23:42.746356 | 2015-06-20T19:22:04 | 2015-06-20T19:22:04 | 37,766,232 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,021 | py | """biodivhack URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.8/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: url(r'^$', Home.as_view(), name='home')
Including another URLconf
1. Add an import: from blog import urls as blog_urls
2. Add a URL to urlpatterns: url(r'^blog/', include(blog_urls))
"""
from django.conf.urls import include, url
from django.contrib import admin
from biodivhack import views
urlpatterns = [
url(r'^$', views.index),
url(r'^keyword-summary/(\d+)', views.keyword_summary),
url(r'^reviews/(\d+)/(\d+)', views.review),
url(r'^statuses/(\d+)', views.status),
url(r'^add-to-database', views.add_to_database),
url(r'^admin/', include(admin.site.urls)),
]
| [
"voong.david@gmail.com"
] | voong.david@gmail.com |
413e356a52c9f144199c7e864701249b61464792 | 541b292bda3e78b384b785335f2e6399c4702015 | /hypergolix/cli.py | 3eeb7a409a3906221519c552d042d028e6c18e39 | [
"Unlicense"
] | permissive | Muterra/py_hypergolix | 7b674bf83a79d7d4a503794f63f6d3d6c9de54e0 | 6d9ce0e0e4473ad2dc715d984b83e6c277260288 | refs/heads/master | 2021-04-22T04:58:23.005851 | 2017-05-19T00:52:41 | 2017-05-19T00:52:41 | 53,230,798 | 80 | 5 | null | 2017-05-19T00:52:41 | 2016-03-06T00:53:19 | Python | UTF-8 | Python | false | false | 11,715 | py | '''
LICENSING
-------------------------------------------------
hypergolix: A python Golix client.
Copyright (C) 2016 Muterra, Inc.
Contributors
------------
Nick Badger
badg@muterra.io | badg@nickbadger.com | nickbadger.com
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the
Free Software Foundation, Inc.,
51 Franklin Street,
Fifth Floor,
Boston, MA 02110-1301 USA
------------------------------------------------------
'''
import argparse
# ###############################################
# Command-specific entry points
# ###############################################
from hypergolix.service import start as start_server
from hypergolix.service import stop as stop_server
from hypergolix.daemon import start as start_app
from hypergolix.daemon import stop as stop_app
from hypergolix.config import handle_args as config
from hypergolix.config import NAMED_REMOTES
# ###############################################
# Root parsers
# ###############################################
root_parser = argparse.ArgumentParser(
description = 'Hypergolix -- "programmable Dropbox" -- runs as a ' +
'background service for internet-connected applications. ' +
'Run and configure the Hypergolix daemon, or start or ' +
'stop a Hypergolix server, with this command.',
prog = 'hypergolix'
)
subparsers = root_parser.add_subparsers()
start_parser = subparsers.add_parser(
'start',
help = 'Start a Hypergolix app or server daemon.',
prog = 'hypergolix start'
)
start_subparsers = start_parser.add_subparsers()
stop_parser = subparsers.add_parser(
'stop',
help = 'Stop an existing Hypergolix app or server daemon.',
prog = 'hypergolix stop'
)
stop_subparsers = stop_parser.add_subparsers()
config_parser = subparsers.add_parser(
'config',
help = 'Configure the Hypergolix app.',
prog = 'hypergolix config'
)
# config_subparsers = config_parser.add_subparsers()
# ###############################################
# App start parser (hypergolix start app)
# ###############################################
app_start_parser = start_subparsers.add_parser(
'app',
help = 'Start the Hypergolix app daemon.'
)
app_start_parser.set_defaults(entry_point=start_app)
# ###############################################
# Server start parser (hypergolix start server)
# ###############################################
server_start_parser = start_subparsers.add_parser(
'server',
help = 'Start the Hypergolix server daemon.',
prog = 'hypergolix start server'
)
server_start_parser.set_defaults(entry_point=start_server)
server_start_parser.add_argument(
'pidfile',
action = 'store',
type = str,
default = None,
nargs = '?',
help = 'The full path to the PID file we should use for the service.'
)
server_start_parser.add_argument(
'--cachedir', '-c',
action = 'store',
required = False,
dest = 'cachedir',
default = None,
type = str,
help = 'Specify a directory to use as a persistent cache for files. ' +
'If none is specified, will default to an in-memory-only ' +
'cache, which is, quite obviously, rather volatile.'
)
server_start_parser.add_argument(
'--host', '-H',
action = 'store',
dest = 'host',
default = None,
type = str,
help = 'Specify the TCP host to use. Defaults to localhost only. ' +
'Passing the special (case-sensitive) string "AUTO" will ' +
'determine the current local IP address and bind to that. ' +
'Passing the special (case-sensitive) string "ANY" will bind ' +
'to any host at the specified port (not recommended).'
)
server_start_parser.add_argument(
'--port', '-p',
action = 'store',
dest = 'port',
default = None,
type = int,
help = 'Specify the TCP port to use. Defaults to 7770.'
)
server_start_parser.add_argument(
'--chdir',
action = 'store',
default = None,
type = str,
help = 'Once the daemon starts, chdir it into the specified full ' +
'directory path. By default, the daemon will remain in the ' +
'current directory, which may create DirectoryBusy errors.'
)
server_start_parser.add_argument(
'--logdir',
action = 'store',
default = None,
type = str,
help = 'Specify a directory to use for logs. Every service failure, ' +
'error, message, etc will go to dev/null without this.'
)
server_start_parser.add_argument(
'--debug',
default = None,
action = 'store_true',
help = 'Enable debug mode. Sets verbosity to debug unless overridden.'
)
server_start_parser.add_argument(
'--traceur',
default = None,
action = 'store_true',
help = 'Enable thorough analysis, including stack tracing. '
'Implies verbosity of debug.'
)
server_start_parser.add_argument(
'--verbosity', '-V',
action = 'store',
dest = 'verbosity',
type = str,
choices = ['debug', 'info', 'warning', 'error', 'shouty', 'extreme'],
default = None,
help = 'Sets the log verbosity. Only applicable if --logdir is set.'
)
# ###############################################
# App stop parser (hypergolix stop app)
# ###############################################
app_stop_parser = stop_subparsers.add_parser(
'app',
help = 'Stop the Hypergolix app daemon.',
prog = 'hypergolix stop server'
)
app_stop_parser.set_defaults(entry_point=stop_app)
# ###############################################
# Server stop parser (hypergolix stop server)
# ###############################################
server_stop_parser = stop_subparsers.add_parser(
'server',
help = 'Stop the Hypergolix server daemon.'
)
server_stop_parser.set_defaults(entry_point=stop_server)
server_stop_parser.add_argument(
'pidfile',
action = 'store',
type = str,
default = None,
nargs = '?',
help = 'The full path to the PID file we should use for the service.'
)
# ###############################################
# Config parser (hypergolix config)
# ###############################################
config_parser.set_defaults(entry_point=config)
config_parser.add_argument(
'--root',
action = 'store',
type = str,
help = 'Manually specify the Hypergolix root directory.',
dest = 'cfg_root',
default = None
)
# Remotes config
# -----------------------------------------------
remote_group = config_parser.add_argument_group(
title = 'Remotes configuration',
description = 'Specify which remote persistence servers Hypergolix ' +
'should use.'
)
# Exclusive autoconfig (also, clear all hosts)
remote_group.add_argument(
'--only', '-o',
action = 'store',
type = str,
help = 'Automatically configure Hypergolix to use only a single, ' +
'named remote (or no remote). Does not affect the remainder ' +
'of the configuration.',
choices = ['local', *NAMED_REMOTES],
dest = 'only_remotes',
default = None,
)
# Auto-add
remote_group.add_argument(
'--add', '-a',
action = 'append',
type = str,
help = 'Add a named remote to the Hypergolix configuration. Cannot ' +
'be combined with --only.',
choices = NAMED_REMOTES,
dest = 'add_remotes'
)
# Auto-remove
remote_group.add_argument(
'--remove', '-r',
action = 'append',
type = str,
help = 'Remove a named remote from the Hypergolix configuration. ' +
'Cannot be combined with --only.',
choices = NAMED_REMOTES,
dest = 'remove_remotes'
)
# Manually add a host
remote_group.add_argument(
'--addhost', '-ah',
action = 'append',
type = str,
help = 'Add a remote host, of form "hostname port use_TLS". Example ' +
'usage: "hypergolix.config --adhost 192.168.0.1 7770 False". ' +
'Cannot be combined with --only.',
nargs = 3,
metavar = ('HOST', 'PORT', 'TLS'),
dest = 'add_remotes'
)
# Manually remove a host
remote_group.add_argument(
'--removehost', '-rh',
action = 'append',
type = str,
help = 'Remove a remote host, of form "hostname port". Example ' +
'usage: "hypergolix.config --removehost 192.168.0.1 7770". ' +
'Cannot be combined with --only.',
nargs = 2,
metavar = ('HOST', 'PORT'),
dest = 'remove_remotes'
)
# Set defaults for those two as well
config_parser.set_defaults(remove_remotes=[], add_remotes=[])
# Runtime config
# -----------------------------------------------
runtime_group = config_parser.add_argument_group(
title = 'Runtime configuration',
description = 'Specify Hypergolix runtime options.'
)
# Set debug mode.
# Make the debug parser a mutually exclusive group with flags.
debug_parser = runtime_group.add_mutually_exclusive_group(required=False)
debug_parser.add_argument(
'--debug',
action = 'store_true',
dest = 'debug',
help = 'Enables debug mode.'
)
debug_parser.add_argument(
'--no-debug',
action = 'store_false',
dest = 'debug',
help = 'Clears debug mode.'
)
config_parser.set_defaults(debug=None)
# Set verbosity
runtime_group.add_argument(
'--verbosity', '-v',
action = 'store',
default = None,
type = str,
choices = ['extreme', 'shouty', 'debug', 'louder', 'info', 'loud',
'warning', 'normal', 'error', 'quiet'],
help = 'Specify the logging level.'
)
# Set verbosity
runtime_group.add_argument(
'--ipc-port', '-ipc',
action = 'store',
default = None,
type = int,
help = 'Configure which port to use for Hypergolix IPC.',
metavar = 'PORT'
)
# Etc
# -----------------------------------------------
etc_group = config_parser.add_argument_group(
title = 'Miscellaneous commands'
)
# Set verbosity
etc_group.add_argument(
'--whoami',
action = 'store_true',
help = 'Print the fingerprint and user ID for the current ' +
'Hypergolix configuration.'
)
# Set verbosity
etc_group.add_argument(
'--register',
action = 'store_true',
help = 'Register the current Hypergolix user, allowing them access ' +
'to the hgx.hypergolix.com remote persister. Requires a web ' +
'browser.'
)
# ###############################################
# Master entry point (hypergolix)
# ###############################################
def main(argv=None):
''' Entry point for all command line stuff.
'''
# This allows us to test with an explicit argstring instead of through the
# command line only
args = root_parser.parse_args(args=argv)
try:
# This invokes the entry point with the parsed args
args.entry_point(args)
except AttributeError:
# Let the invoker know that no command was selected
print('Invalid command selected. Type "hypergolix -h" for usage.')
except Exception as exc:
root_parser.error(str(exc))
if __name__ == '__main__':
# We now return to your regularly scheduled programming
main()
| [
"badg@nickbadger.com"
] | badg@nickbadger.com |
79724f1ea72d380422927eb99113cb5d4c02866d | 4af454bced0f99e4ed8269d71e97284f0ef13afb | /gameserver/api/__init__.py | 7c75af4919b7a1a0716aba1e04d76f1cb60c1af0 | [] | no_license | L2jBrasil/L2py | c46db78238b4caf272a2399f4e4910fc256b3cca | d1c2e7bddb54d222f9a3d04262c09ad70329a226 | refs/heads/master | 2022-11-19T01:39:02.019777 | 2020-07-24T20:07:15 | 2020-07-24T20:07:15 | 292,115,581 | 1 | 1 | null | 2020-09-01T21:53:54 | 2020-09-01T21:53:54 | null | UTF-8 | Python | false | false | 38 | py | from .login_client import LoginClient
| [
"yurzs@icloud.com"
] | yurzs@icloud.com |
d1a50006728152eb14ee0200eb479b5264089dc0 | 28b1036824bfa4c3290d285090f073c3676a4389 | /my1stsite/settings/testing.py | 2d67d73d80806b9830c7bdded15661987ba366f5 | [] | no_license | zoie0312/my1stsite | ee0154409d2ac9ed1408f1b8736ef6a1547e82fb | b147102e332f789ee430e4666717189ae6e88d51 | refs/heads/master | 2021-01-22T04:41:15.006631 | 2013-11-29T02:36:30 | 2013-11-29T02:36:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 387 | py | from .base import *
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:',
'USER': '',
'PASSWORD': '',
'HOST': '',
'PORT': '',
}
}
TEST_RUNNER = 'discover_runner.DiscoverRunner'
TEST_DISCOVER_TOP_LEVEL = root('..')
TEST_DISCOVER_ROOT = root('..')
TEST_DISCOVER_PATTERN = 'test_*'
| [
"vagrant@precise64.(none)"
] | vagrant@precise64.(none) |
c4681ca77b4913f01fadb65694fba7264ec93bb4 | f2b172f7c1dcf0ac28fe7465b5844b48facade18 | /12/1207/1207.py | 5d2fce8683456a4a169c17b65ac51d8606aae2cc | [] | no_license | 0gravity000/IntroducingPython | 2fde12485d0597e72a7da801a08d5048a47f2ff5 | 5d3281dbe37ed1a08d71cb6a36841781f9ac0ccf | refs/heads/master | 2023-07-19T02:53:23.081806 | 2021-09-30T01:51:44 | 2021-09-30T01:51:44 | 403,935,207 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 280 | py | # 12.7 Pythonコードのデバッグ
# デバックでもっとも単純なのは、文字列を表示すること
# vars()は、関数への引数を含むローカル変数の値を抽出する
def func(*args, **kwargs):
print(vars())
func(1, 2, 3)
func(['a', 'b', 'argh'])
| [
"0gravity000@gmail.com"
] | 0gravity000@gmail.com |
fbfb74e10109085225bb38751b05a62c682c4b98 | 321b4ed83b6874eeb512027eaa0b17b0daf3c289 | /701/701.insert-into-a-binary-search-tree.291646803.Wrong-Answer.leetcode.python3.py | 3687f08550163587025901f57d3b5e1f85a4cfef | [] | no_license | huangyingw/submissions | 7a610613bdb03f1223cdec5f6ccc4391149ca618 | bfac1238ecef8b03e54842b852f6fec111abedfa | refs/heads/master | 2023-07-25T09:56:46.814504 | 2023-07-16T07:38:36 | 2023-07-16T07:38:36 | 143,352,065 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 533 | py | class Solution():
def insertIntoBST(self, root, val):
root_head = root
root_val = TreeNode(val)
while True:
if val < root.val:
if not root.left:
root = root.left
else:
root.left = root_val
break
else:
if not root.right:
root = root.right
else:
root.right = root_val
break
return root_head
| [
"huangyingw@gmail.com"
] | huangyingw@gmail.com |
cce56bc46a072cd4a07a8d3c7507c78ed15de20d | 62e58c051128baef9452e7e0eb0b5a83367add26 | /edifact/D98B/REQOTED98BUN.py | 830d94b77397c27e9f72d80b435724d8e803eb91 | [] | no_license | dougvanhorn/bots-grammars | 2eb6c0a6b5231c14a6faf194b932aa614809076c | 09db18d9d9bd9d92cefbf00f1c0de1c590fe3d0d | refs/heads/master | 2021-05-16T12:55:58.022904 | 2019-05-17T15:22:23 | 2019-05-17T15:22:23 | 105,274,633 | 0 | 0 | null | 2017-09-29T13:21:21 | 2017-09-29T13:21:21 | null | UTF-8 | Python | false | false | 7,917 | py | #Generated by bots open source edi translator from UN-docs.
from bots.botsconfig import *
from edifact import syntax
from recordsD98BUN import recorddefs
structure = [
{ID: 'UNH', MIN: 1, MAX: 1, LEVEL: [
{ID: 'BGM', MIN: 1, MAX: 1},
{ID: 'DTM', MIN: 1, MAX: 35},
{ID: 'PAI', MIN: 0, MAX: 1},
{ID: 'ALI', MIN: 0, MAX: 5},
{ID: 'IMD', MIN: 0, MAX: 999},
{ID: 'IRQ', MIN: 0, MAX: 10},
{ID: 'FTX', MIN: 0, MAX: 99},
{ID: 'RFF', MIN: 0, MAX: 9999, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
]},
{ID: 'AJT', MIN: 0, MAX: 1, LEVEL: [
{ID: 'FTX', MIN: 0, MAX: 5},
]},
{ID: 'TAX', MIN: 0, MAX: 5, LEVEL: [
{ID: 'MOA', MIN: 0, MAX: 1},
{ID: 'LOC', MIN: 0, MAX: 5},
]},
{ID: 'CUX', MIN: 0, MAX: 5, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
]},
{ID: 'PAT', MIN: 0, MAX: 10, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
{ID: 'PCD', MIN: 0, MAX: 1},
{ID: 'MOA', MIN: 0, MAX: 1},
]},
{ID: 'TOD', MIN: 0, MAX: 10, LEVEL: [
{ID: 'LOC', MIN: 0, MAX: 2},
]},
{ID: 'EQD', MIN: 0, MAX: 10, LEVEL: [
{ID: 'HAN', MIN: 0, MAX: 5},
{ID: 'MEA', MIN: 0, MAX: 5},
{ID: 'FTX', MIN: 0, MAX: 5},
]},
{ID: 'RCS', MIN: 0, MAX: 999, LEVEL: [
{ID: 'RFF', MIN: 0, MAX: 5},
{ID: 'DTM', MIN: 0, MAX: 5},
{ID: 'FTX', MIN: 0, MAX: 99999},
]},
{ID: 'APR', MIN: 0, MAX: 25, LEVEL: [
{ID: 'PRI', MIN: 0, MAX: 1},
{ID: 'QTY', MIN: 0, MAX: 2},
{ID: 'DTM', MIN: 0, MAX: 1},
{ID: 'MOA', MIN: 0, MAX: 2},
{ID: 'RNG', MIN: 0, MAX: 2},
]},
{ID: 'DLM', MIN: 0, MAX: 1, LEVEL: [
{ID: 'MOA', MIN: 0, MAX: 1},
{ID: 'DTM', MIN: 0, MAX: 1},
]},
{ID: 'NAD', MIN: 0, MAX: 99, LEVEL: [
{ID: 'LOC', MIN: 0, MAX: 25},
{ID: 'FII', MIN: 0, MAX: 5},
{ID: 'RFF', MIN: 0, MAX: 99, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
]},
{ID: 'DOC', MIN: 0, MAX: 5, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 1},
]},
{ID: 'CTA', MIN: 0, MAX: 5, LEVEL: [
{ID: 'COM', MIN: 0, MAX: 5},
]},
]},
{ID: 'TDT', MIN: 0, MAX: 10, LEVEL: [
{ID: 'QTY', MIN: 0, MAX: 5},
{ID: 'LOC', MIN: 0, MAX: 10, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
]},
]},
{ID: 'PAC', MIN: 0, MAX: 99, LEVEL: [
{ID: 'MEA', MIN: 0, MAX: 5},
{ID: 'PCI', MIN: 0, MAX: 10, LEVEL: [
{ID: 'RFF', MIN: 0, MAX: 1},
{ID: 'DTM', MIN: 0, MAX: 5},
{ID: 'GIN', MIN: 0, MAX: 10},
]},
]},
{ID: 'SCC', MIN: 0, MAX: 10, LEVEL: [
{ID: 'FTX', MIN: 0, MAX: 5},
{ID: 'QTY', MIN: 0, MAX: 10, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
]},
]},
{ID: 'ALC', MIN: 0, MAX: 99, LEVEL: [
{ID: 'ALI', MIN: 0, MAX: 5},
{ID: 'QTY', MIN: 0, MAX: 1, LEVEL: [
{ID: 'RNG', MIN: 0, MAX: 1},
]},
{ID: 'PCD', MIN: 0, MAX: 1, LEVEL: [
{ID: 'RNG', MIN: 0, MAX: 1},
]},
{ID: 'MOA', MIN: 0, MAX: 2, LEVEL: [
{ID: 'RNG', MIN: 0, MAX: 1},
]},
{ID: 'RTE', MIN: 0, MAX: 1, LEVEL: [
{ID: 'RNG', MIN: 0, MAX: 1},
]},
{ID: 'TAX', MIN: 0, MAX: 5, LEVEL: [
{ID: 'MOA', MIN: 0, MAX: 1},
]},
]},
{ID: 'LIN', MIN: 1, MAX: 200000, LEVEL: [
{ID: 'PIA', MIN: 0, MAX: 25},
{ID: 'IMD', MIN: 0, MAX: 99},
{ID: 'MEA', MIN: 0, MAX: 5},
{ID: 'QTY', MIN: 0, MAX: 99},
{ID: 'PCD', MIN: 0, MAX: 1},
{ID: 'ALI', MIN: 0, MAX: 5},
{ID: 'DTM', MIN: 0, MAX: 35},
{ID: 'GIN', MIN: 0, MAX: 1000},
{ID: 'GIR', MIN: 0, MAX: 1000},
{ID: 'QVR', MIN: 0, MAX: 1},
{ID: 'FTX', MIN: 0, MAX: 99},
{ID: 'PAI', MIN: 0, MAX: 1},
{ID: 'DOC', MIN: 0, MAX: 99},
{ID: 'CCI', MIN: 0, MAX: 999, LEVEL: [
{ID: 'CAV', MIN: 0, MAX: 10},
{ID: 'MEA', MIN: 0, MAX: 10},
]},
{ID: 'MOA', MIN: 0, MAX: 100, LEVEL: [
{ID: 'QTY', MIN: 0, MAX: 2},
{ID: 'IMD', MIN: 0, MAX: 1},
{ID: 'CUX', MIN: 0, MAX: 1},
{ID: 'DTM', MIN: 0, MAX: 2},
]},
{ID: 'AJT', MIN: 0, MAX: 1, LEVEL: [
{ID: 'FTX', MIN: 0, MAX: 5},
]},
{ID: 'PRI', MIN: 0, MAX: 99, LEVEL: [
{ID: 'APR', MIN: 0, MAX: 1},
{ID: 'RNG', MIN: 0, MAX: 1},
{ID: 'CUX', MIN: 0, MAX: 5},
{ID: 'DTM', MIN: 0, MAX: 5},
]},
{ID: 'RFF', MIN: 0, MAX: 9999, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
]},
{ID: 'LOC', MIN: 0, MAX: 100, LEVEL: [
{ID: 'QTY', MIN: 0, MAX: 1},
{ID: 'DTM', MIN: 0, MAX: 5},
]},
{ID: 'TAX', MIN: 0, MAX: 10, LEVEL: [
{ID: 'MOA', MIN: 0, MAX: 1},
{ID: 'LOC', MIN: 0, MAX: 5},
]},
{ID: 'TOD', MIN: 0, MAX: 5, LEVEL: [
{ID: 'LOC', MIN: 0, MAX: 2},
]},
{ID: 'EQD', MIN: 0, MAX: 10, LEVEL: [
{ID: 'HAN', MIN: 0, MAX: 5},
{ID: 'MEA', MIN: 0, MAX: 5},
{ID: 'FTX', MIN: 0, MAX: 5},
]},
{ID: 'RCS', MIN: 0, MAX: 999, LEVEL: [
{ID: 'RFF', MIN: 0, MAX: 5},
{ID: 'DTM', MIN: 0, MAX: 5},
{ID: 'FTX', MIN: 0, MAX: 99999},
]},
{ID: 'PAT', MIN: 0, MAX: 10, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
{ID: 'PCD', MIN: 0, MAX: 1},
{ID: 'MOA', MIN: 0, MAX: 1},
]},
{ID: 'PAC', MIN: 0, MAX: 99, LEVEL: [
{ID: 'MEA', MIN: 0, MAX: 5},
{ID: 'QTY', MIN: 0, MAX: 5},
{ID: 'DTM', MIN: 0, MAX: 5},
{ID: 'RFF', MIN: 0, MAX: 5, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
]},
{ID: 'PCI', MIN: 0, MAX: 10, LEVEL: [
{ID: 'RFF', MIN: 0, MAX: 1},
{ID: 'DTM', MIN: 0, MAX: 5},
{ID: 'GIN', MIN: 0, MAX: 10},
]},
]},
{ID: 'NAD', MIN: 0, MAX: 999, LEVEL: [
{ID: 'LOC', MIN: 0, MAX: 5},
{ID: 'RFF', MIN: 0, MAX: 99, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
]},
{ID: 'DOC', MIN: 0, MAX: 5, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
]},
{ID: 'CTA', MIN: 0, MAX: 5, LEVEL: [
{ID: 'COM', MIN: 0, MAX: 5},
]},
]},
{ID: 'ALC', MIN: 0, MAX: 99, LEVEL: [
{ID: 'ALI', MIN: 0, MAX: 5},
{ID: 'QTY', MIN: 0, MAX: 1, LEVEL: [
{ID: 'RNG', MIN: 0, MAX: 1},
]},
{ID: 'PCD', MIN: 0, MAX: 1, LEVEL: [
{ID: 'RNG', MIN: 0, MAX: 1},
]},
{ID: 'MOA', MIN: 0, MAX: 2, LEVEL: [
{ID: 'RNG', MIN: 0, MAX: 1},
]},
{ID: 'RTE', MIN: 0, MAX: 1, LEVEL: [
{ID: 'RNG', MIN: 0, MAX: 1},
]},
{ID: 'TAX', MIN: 0, MAX: 5, LEVEL: [
{ID: 'MOA', MIN: 0, MAX: 1},
]},
]},
{ID: 'TDT', MIN: 0, MAX: 10, LEVEL: [
{ID: 'QTY', MIN: 0, MAX: 5},
{ID: 'LOC', MIN: 0, MAX: 10, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
]},
]},
{ID: 'SCC', MIN: 0, MAX: 100, LEVEL: [
{ID: 'FTX', MIN: 0, MAX: 5},
{ID: 'QTY', MIN: 0, MAX: 10, LEVEL: [
{ID: 'DTM', MIN: 0, MAX: 5},
]},
]},
]},
{ID: 'UNS', MIN: 1, MAX: 1},
{ID: 'MOA', MIN: 0, MAX: 15},
{ID: 'CNT', MIN: 0, MAX: 10},
{ID: 'ALC', MIN: 0, MAX: 10, LEVEL: [
{ID: 'MOA', MIN: 1, MAX: 1},
{ID: 'ALI', MIN: 0, MAX: 1},
]},
{ID: 'UNT', MIN: 1, MAX: 1},
]},
]
| [
"jason.capriotti@gmail.com"
] | jason.capriotti@gmail.com |
c07f51e53dc8e49f9eef1416a8fd830023679490 | 9dba277eeb0d5e9d2ac75e2e17ab5b5eda100612 | /exercises/1901040051/day11/mymodule/main1.py | 6d64c07eba011299f1539a221de2d0c5df683f51 | [] | no_license | shen-huang/selfteaching-python-camp | e8410bfc06eca24ee2866c5d890fd063e9d4be89 | 459f90c9f09bd3a3df9e776fc64dfd64ac65f976 | refs/heads/master | 2022-05-02T05:39:08.932008 | 2022-03-17T07:56:30 | 2022-03-17T07:56:30 | 201,287,222 | 9 | 6 | null | 2019-08-08T15:34:26 | 2019-08-08T15:34:25 | null | UTF-8 | Python | false | false | 2,360 | py | import jieba
import re
import json
import sys
import collections
from collections import Counter
sys.path.append("c:")
# import stats_word
with open("mymodule/tang300.json", "r", encoding="utf-8") as file:
try:
read_data = file.read()
except ValueError as e:
print(e)
def stats_text_en(en,count) :
''' 1. 英文词频统计：使用正则表达式过滤英文字符，使用Counter统计并排序。
2. 参数类型检查，不为字符串抛出异常。
'''
if type(en) == str :
text_en = re.sub("[^A-Za-z]", " ", en.strip())
# text_en = ''.join(text_en)
enList = text_en.split( )
return collections.Counter(enList).most_common(count)
else :
raise ValueError ('type of argumengt is not str')
# print(stats_text_en(read_data, 4))
def stats_text_cn(cn,count) :
''' 1. 使用jieba第三方库精确模式分词。
2. 使用正则表达式过滤汉字字符。
3. 使用for循环判断分词后词频列表元素长度大于等于2的生成新列表。
4. 使用标准库collections.Counter()统计词频并限制统计数量。
5. 参数类型检查，不为字符串抛出异常。
'''
if type(cn) == str :
cnList = re.findall(u'[\u4e00-\u9fff]+', cn.strip())
cnString = ''.join(cnList)
segList = jieba.cut(cnString,cut_all=False)
cnnewList = []
for i in segList :
if len(i) >= 2 :
cnnewList.append(i)
else :
pass
return collections.Counter(cnnewList).most_common(count)
else :
raise ValueError ('type of argumengt is not str')
# print(stats_text_cn(read_data, 2))
def stats_text(text_en_cn,count_en_cn) :
''' 1. 合并英汉词频统计：调用stats_text_en()和stats_text_cn()并合并其结果。
2. 参数类型检查，不为字符串抛出异常。
'''
if type(text_en_cn) == str :
return stats_text_en(text_en_cn,count_en_cn)+stats_text_cn(text_en_cn,count_en_cn)
else :
raise ValueError ('type of argumengt is not str')
print('输出词频最高的前20个中文词：\n ', stats_text_cn(read_data,20)) | [
"40155646+seven-tears@users.noreply.github.com"
] | 40155646+seven-tears@users.noreply.github.com |
a8ddc101a423861f9bad5474af8d432f66c1eb80 | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /RzrKedEonc3BJGhY5_12.py | a021d787d5af49db12fceee016b509e732de9173 | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,372 | py | """
**Mubashir** needs your help to plant some trees. He can give you three
parameters of the land:
* **width** of the land `w`
* **length** of the land `l`
* **gap** between the trees `g`
You have to create an algorithm to return the **number of trees** which can be
planted **on the edges** of the given land in a **symmetrical layout** shown
below (unsymmetrical gap = x, tree = o, gap = -):
w=3, l=3, g=1
plant_trees(w, l, g) ➞ 4
o - o
- -
o - o
# Mubashir can plant 4 trees.
w=3, l=3, g=3
plant_trees(w, l, g) ➞ 2
o - -
- -
- - o
# Mubashir can plant 2 trees.
If the layout is not symmetrical, you have to return `0`:
w=3, l=3, g=2
plant_trees(w, l, g) ➞ 0
o - -
x o
x x x
# Planting 2 trees mean the gap of two trees will be greater than 2.
o - -
x o
o - -
# Planting 3 trees mean the gap of two trees will be less than 2.
Another Example for better understanding:
w=3, l=3, g=0
plant_trees(w, l, g) ➞ 8
o o o
o o
o o o
# Mubashir can plant 8 trees.
### Notes
N/A
"""
def plant_trees(w, l, g):
perimeter = 2*w + 2*l - 4
if w == 0 or l == 0:
return 0
elif perimeter%(g+1) == 0:
return int(perimeter/(g+1))
else:
return 0
| [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
dd533c06790b50ac9ae03e9af75ebdd783e97e20 | e9983a186a30a461507064533aa7459d2df0a6ef | /afmformats/fmt_jpk/read_jpk.py | be85886b7d9d290cbb6119063e7ba20a213bf04d | [
"MIT"
] | permissive | ericpre/afmformats | f8f04647d51cf3d974660e36bcf67d031de8a7f8 | f783eb0ae8faae3919daef501e06eb8e43ec36ec | refs/heads/master | 2021-02-08T23:28:09.214311 | 2020-02-19T11:01:58 | 2020-02-19T11:01:58 | 244,210,475 | 0 | 0 | null | 2020-03-01T19:29:04 | 2020-03-01T19:29:03 | null | UTF-8 | Python | false | false | 18,939 | py | """Methods to open JPK data files and to obtain meta data"""
import pathlib
import shutil
import zipfile
import numpy as np
from . import read_jpk_meta as meta
from ..errors import FileFormatNotSupportedError
class ReadJPKError(FileFormatNotSupportedError):
pass
class ReadJPKColumnError(BaseException):
pass
VALID_IDS_FORCE = ["vDeflection"]
VALID_IDS_HEIGHT = ["strainGaugeHeight", "capacitiveSensorHeight",
"measuredHeight"]
VALID_IDS_PIEZO = ["height", "head-height"]
def find_column(loc_list, id_list):
"""Find a column in a list of strings
Parameters
----------
loc_list: list of str
The segment's data location list (within the archive), e.g.
['segments/0/channels/height.dat',
'segments/0/channels/vDeflection.dat',
'segments/0/channels/strainGaugeHeight.dat']
id_list: list of str
Data identifiers to match up, e.g. `VALID_IDS_HEIGHT`
Returns
-------
column: str
Matched column name, e.g. "strainGaugeHeight"
loc: str
Matched segment location,
e.g. "segments/0/channels/strainGaugeHeight.dat"
"""
col = None
for dd in loc_list:
cn = dd.rsplit("/")[-1].rsplit(".")[0]
for vc in id_list:
if vc == cn:
col = vc
break
if col:
break
else:
msg = "No data found for: {}".format(id_list)
raise ReadJPKError(msg)
return col, dd
def load_jpk(path, callback=None):
"""Extracts force, measured height, and time from JPK files
All columns are returned in SI units.
Parameters
----------
path: str
Path to a JPK force file
callback: callable or None
A method that accepts a float between 0 and 1
to externally track the process of loading the data.
"""
path = pathlib.Path(path)
if callback:
callback(0)
# First, only extract the properties
tdir = meta.extract_jpk(path, props_only=True)
# Get data file names
indexlist = meta.get_data_list(path)
measurements = []
try:
with zipfile.ZipFile(str(path)) as arc:
for ii, item in enumerate(indexlist):
mm = []
segroot = tdir / item[0][0].rsplit("segments", 1)[0]
# go through the segments
for mi, curve in enumerate(item):
if segroot == tdir:
enum = 0
else:
enum = int(segroot.name)
# mi == 0: approach
# mi == 1: retract
# get meta data
# (segfolder contains "segment-header.properties")
segfolder = tdir / curve[0].rsplit("channels")[0]
try:
mdi = meta.get_meta_data_seg(segfolder)
except meta.ReadJPKMetaKeyError as exc:
exc.args = ("{}, File: '{}'".format(exc.args[0], path))
raise
mdi["enum"] = enum
segment = {}
# segment time
segment["time"] = np.linspace(0,
mdi["duration"],
mdi["point count"],
endpoint=False)
# load force data
force_col, force_dat = find_column(loc_list=curve,
id_list=VALID_IDS_FORCE)
arc.extract(force_dat, str(tdir))
force, unit, _n = load_jpk_single_curve(segroot,
segment=mi,
column=force_col,
slot="force")
if unit != "N":
msg = "Unknown unit for force: {}".format(unit)
raise ReadJPKError(msg)
segment["force"] = force
# load height (measured) data
meas_col, meas_dat = find_column(loc_list=curve,
id_list=VALID_IDS_HEIGHT)
arc.extract(meas_dat, str(tdir))
height, unit, _ = load_jpk_single_curve(segroot,
segment=mi,
column=meas_col,
slot="nominal")
if unit != "m":
msg = "Unknown unit for height: {}".format(unit)
raise ReadJPKError(msg)
segment["height (measured)"] = height
# load height (piezo) data
piezo_col, piezo_dat = find_column(loc_list=curve,
id_list=VALID_IDS_PIEZO)
arc.extract(piezo_dat, str(tdir))
heightp, unit, _ = load_jpk_single_curve(segroot,
segment=mi,
column=piezo_col,
slot="calibrated")
if unit != "m":
msg = "Unknown unit for piezo height: {}".format(unit)
raise ReadJPKError(msg)
segment["height (piezo)"] = heightp
mm.append([segment, mdi, path])
if callback:
# Callback with a float between 0 and 1 to update
# a progress dialog or somesuch.
callback(ii/len(indexlist))
measurements.append(mm)
shutil.rmtree(str(segroot))
except BaseException:
raise
finally:
shutil.rmtree(str(tdir), ignore_errors=True)
return measurements
def load_jpk_single_curve(path_jpk, segment=0, column="vDeflection",
slot="default"):
"""Load a single curve from a jpk-force file
Parameters
----------
path_jpk : str
Path to a jpk-force file or to a directory containing "segments"
segment: int
Index of the segment to use.
column: str
Column name; one of:
- "height" : piezzo height
- "vDeflection": measured deflection
- "straingGaugeHeight": measured height
slot: str
The .dat files in the JPK measurement zip files come with different
calibration slots. Valid values are
- For the height of the piezo crystal during measurement
(the piezo height is not as accurate as the measured height
from the height sensor; the piezo movement is not linear):
"height.dat": "volts", "nominal", "calibrated"
- For the measured height of the cantilever:
"strainGaugeHeight.dat": "volts", "nominal", "absolute"
"measuredHeight.dat": "volts", "nominal", "absolute"
"capacitiveSensorHeight": "volts", "nominal", "absolute"
(they are all the same)
- For the recorded cantilever deflection:
"vDeflection.dat": "volts", "distance", "force"
Returns
-------
data: 1d ndarray
A numpy array containing the scaled data.
unit: str
A string representing the metric unit of the data.
name: str
The name of the data column.
Notes
-----
This method does is not designed for directly opening JPK files.
Please use the `load_jpk` method instead, which wraps around this
method and handles exceptions better.
"""
path_jpk = pathlib.Path(path_jpk)
if path_jpk.is_dir():
tdir = path_jpk
cleanup = False
else:
tdir = meta.extract_jpk(path_jpk)
cleanup = True
segroot = tdir / "segments"
if not segroot.exists():
raise OSError("No `segments` subdir found in {}!".format(tdir))
if not (segroot / str(segment)).exists():
raise ValueError("Segment {} not found in {}!".format(segment,
path_jpk))
chroot = segroot / str(segment) / "channels"
channels = chroot.glob("*.dat")
for ch in channels:
key = ch.stem
if key == column:
data = load_dat_unit(ch, slot=slot)
break
else:
msg = "No data for column '{}' and slot '{}'".format(column, slot)
raise ReadJPKColumnError(msg)
if cleanup:
shutil.rmtree(str(tdir))
return data
def retrieve_segments_data(path_dir):
"""From an extracted jpk file, retrieve the containing segments
This is a convenience method that returns a list of the measurement
data with the default slot, including units and column names.
Parameters
----------
path_dir: str
Path to a directory containing a "segments" folder.
Returns
-------
segment_list: list
A list with items: [data, unit, column_name]
"""
path_dir = pathlib.Path(path_dir)
segroot = path_dir / "segments"
segment_data = []
for se in sorted(segroot.glob("[0-1]")):
chan_data = []
chroot = se / "channels"
for ch in chroot.glob("*.dat"):
chan_data.append(load_dat_unit(ch))
segment_data.append(chan_data)
return segment_data
def load_dat_raw(path_dat):
"""Load data from binary JPK .dat files
Parameters
----------
path_dat: str
Path to a .dat file. A `segment-header.properties`
file must be present in the parent folder.
Returns
-------
data: 1d ndarray
A numpy array with the raw data.
Notes
-----
This method tries to correctly determine the data type of the
binary data and scales it with the `data.encoder.scaling`
values given in the header files.
See Also
--------
load_dat_unit: Includes conversion to useful units
"""
path_dat = pathlib.Path(path_dat).resolve()
key = path_dat.stem
# open header file
header_file = path_dat.parents[1] / "segment-header.properties"
prop = meta.get_seg_head_prop(header_file)
# extract multiplier and offset from header
# multiplier
mult_str1 = "channel.{}.data.encoder.scaling.multiplier".format(key)
mult_str2 = "channel.{}.encoder.scaling.multiplier".format(key)
try:
mult = prop[mult_str1]
except BaseException:
mult = prop[mult_str2]
# offset
off_str1 = "channel.{}.data.encoder.scaling.offset".format(key)
off_str2 = "channel.{}.encoder.scaling.offset".format(key)
try:
off = prop[off_str1]
except BaseException:
off = prop[off_str2]
# get encoder
enc_str1 = "channel.{}.data.encoder.type".format(key)
enc_str2 = "channel.{}.encoder.type".format(key)
try:
enc = prop[enc_str1]
except BaseException:
enc = prop[enc_str2]
# determine encoder
if enc == "signedshort":
mydtype = np.dtype(">i2")
elif enc == "unsignedshort":
mydtype = np.dtype(">u2")
elif enc == "signedinteger":
mydtype = np.dtype(">i4")
elif enc == "unsignedinteger":
mydtype = np.dtype(">u4")
elif enc == "signedlong":
mydtype = np.dtype(">i8")
else:
raise NotImplementedError("Data file format '{}' not supported".
format(enc))
data = np.fromfile(str(path_dat), dtype=mydtype) * mult + off
return data
def load_dat_unit(path_dat, slot="default"):
"""Load data from a JPK .dat file with a specific calibration slot
Parameters
----------
path_dat : str
Path to a .dat file
slot: str
The .dat files in the JPK measurement zip files come with different
calibration slots. Valid values are
- For the height of the piezo crystal during measurement
(the piezo height is not as accurate as the measured height
from the height sensor; the piezo movement is not linear):
"height.dat": "volts", "nominal", "calibrated"
- For the measured height of the cantilever:
"strainGaugeHeight.dat": "volts", "nominal", "absolute"
"measuredHeight.dat": "volts", "nominal", "absolute"
"capacitiveSensorHeight": "volts", "nominal", "absolute"
(they are all the same)
- For the recorded cantilever deflection:
"vDeflection.dat": "volts", "distance", "force"
Returns
-------
data: 1d ndarray
A numpy array containing the scaled data.
unit: str
A string representing the metric unit of the data.
name: str
The name of the data column.
Notes
-----
The raw data (see `load_dat_raw`) is usually stored in "volts" and
needs to be converted to e.g. "force" for "vDeflection" or "nominal"
for "strainGaugeHeight". The conversion parameters (offset, multiplier)
are stored in the header files and they are not stored separately for
each slot, but the conversion parameters are stored relative to the
slots. For instance, to compute the "force" slot from the raw "volts"
data, one first needs to compute the "distance" slot. This conversion
is taken care of by this method.
This is an example header:
channel.vDeflection.data.file.name=channels/vDeflection.dat
channel.vDeflection.data.file.format=raw
channel.vDeflection.data.type=short
channel.vDeflection.data.encoder.type=signedshort
channel.vDeflection.data.encoder.scaling.type=linear
channel.vDeflection.data.encoder.scaling.style=offsetmultiplier
channel.vDeflection.data.encoder.scaling.offset=-0.00728873489143207
channel.vDeflection.data.encoder.scaling.multiplier=3.0921021713588157E-4
channel.vDeflection.data.encoder.scaling.unit.type=metric-unit
channel.vDeflection.data.encoder.scaling.unit.unit=V
channel.vDeflection.channel.name=vDeflection
channel.vDeflection.conversion-set.conversions.list=distance force
channel.vDeflection.conversion-set.conversions.default=force
channel.vDeflection.conversion-set.conversions.base=volts
channel.vDeflection.conversion-set.conversion.volts.name=Volts
channel.vDeflection.conversion-set.conversion.volts.defined=false
channel.vDeflection.conversion-set.conversion.distance.name=Distance
channel.vDeflection.conversion-set.conversion.distance.defined=true
channel.vDeflection.conversion-set.conversion.distance.type=simple
channel.vDeflection.conversion-set.conversion.distance.comment=Distance
channel.vDeflection.conversion-set.conversion.distance.base-calibration-slot=volts
channel.vDeflection.conversion-set.conversion.distance.calibration-slot=distance
channel.vDeflection.conversion-set.conversion.distance.scaling.type=linear
channel.vDeflection.conversion-set.conversion.distance.scaling.style=offsetmultiplier
channel.vDeflection.conversion-set.conversion.distance.scaling.offset=0.0
channel.vDeflection.conversion-set.conversion.distance.scaling.multiplier=7.000143623002982E-8
channel.vDeflection.conversion-set.conversion.distance.scaling.unit.type=metric-unit
channel.vDeflection.conversion-set.conversion.distance.scaling.unit.unit=m
channel.vDeflection.conversion-set.conversion.force.name=Force
channel.vDeflection.conversion-set.conversion.force.defined=true
channel.vDeflection.conversion-set.conversion.force.type=simple
channel.vDeflection.conversion-set.conversion.force.comment=Force
channel.vDeflection.conversion-set.conversion.force.base-calibration-slot=distance
channel.vDeflection.conversion-set.conversion.force.calibration-slot=force
channel.vDeflection.conversion-set.conversion.force.scaling.type=linear
channel.vDeflection.conversion-set.conversion.force.scaling.style=offsetmultiplier
channel.vDeflection.conversion-set.conversion.force.scaling.offset=0.0
channel.vDeflection.conversion-set.conversion.force.scaling.multiplier=0.043493666407368466
channel.vDeflection.conversion-set.conversion.force.scaling.unit.type=metric-unit
channel.vDeflection.conversion-set.conversion.force.scaling.unit.unit=N
To convert from the raw "volts" data to force data, these steps are
performed:
- Convert from "volts" to "distance" first, because the
"base-calibration-slot" for force is "distance".
distance = volts*7.000143623002982E-8 + 0.0
- Convert from "distance" to "force":
force = distance*0.043493666407368466 + 0.0
The multipliers shown above are the values for sensitivity and spring
constant:
sensitivity = 7.000143623002982E-8 m/V
spring_constant = 0.043493666407368466 N/m
"""
path_dat = pathlib.Path(path_dat).resolve()
key = path_dat.stem
# open header file
header_file = path_dat.parents[1] / "segment-header.properties"
prop = meta.get_seg_head_prop(header_file)
conv = "channel.{}.conversion-set".format(key)
if slot == "default":
slot = prop[conv+".conversions.default"]
# get base unit
base = prop[conv+".conversions.base"]
# Now iterate through the conversion sets until we have the base converter.
# A list of multipliers and offsets
converters = []
curslot = slot
while curslot != base:
# Get current slot multipliers and offsets
off_str = conv+".conversion.{}.scaling.offset".format(curslot)
off = prop[off_str]
mult_str = conv+".conversion.{}.scaling.multiplier".format(curslot)
mult = prop[mult_str]
converters.append([mult, off])
sl_str = conv+".conversion.{}.base-calibration-slot".format(curslot)
curslot = prop[sl_str]
# Get raw data
data = load_dat_raw(path_dat)
for c in converters[::-1]:
data[:] = c[0] * data[:] + c[1]
if base == slot:
unit_str = "channel.{}.data.encoder.scaling.unit.unit".format(key)
unit = prop[unit_str]
else:
try:
unit_str = conv+".conversion.{}.scaling.unit".format(slot)
unit = prop[unit_str]
except KeyError:
unit_str = conv+".conversion.{}.scaling.unit.unit".format(slot)
unit = prop[unit_str]
name_str = conv+".conversion.{}.name".format(slot)
name = prop[name_str]
return data, unit, "{} ({})".format(key, name)
| [
"dev@craban.de"
] | dev@craban.de |
49b4f104d0a3ffacd0a6920cd0f12b858d6768e7 | 83b9910372a8246c947c7365b9eb39d9b20cde13 | /src/model/plainEffNet.py | c7dddc5608db4d3bd223d3d118df0da818b4556e | [
"MIT"
] | permissive | comword/TCD20-DP-DeepModel | 977394a9b1c9ce350efdf944919f034a28ff878a | 7dca097957b745cf6345d8ac218ff28f306a5218 | refs/heads/main | 2023-07-09T15:12:45.228999 | 2021-08-22T14:05:01 | 2021-08-22T14:05:01 | 338,325,944 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,633 | py | import tensorflow as tf
class PlainEffNet(tf.keras.Model):
def __init__(self, input_shape=[3, 15, 224, 224], backbone='EfficientNetB0',
MLP_DIM=256, n_classes=16, MLP_DROPOUT_RATE=0.4, **kwargs):
super(PlainEffNet, self).__init__(**kwargs)
self.img_input = tf.keras.layers.Input(input_shape)
self.pos_input = tf.keras.layers.Input(input_shape[1])
self.backbone = getattr(tf.keras.applications, backbone)(
include_top=False, weights='imagenet', classes=n_classes,
input_shape=[input_shape[2], input_shape[3], input_shape[0]])
self.pool = tf.keras.layers.GlobalAveragePooling2D(name='avg_pool')
self.dense = tf.keras.layers.Dense(MLP_DIM, activation='relu')
self.dropout = tf.keras.layers.Dropout(
MLP_DROPOUT_RATE, name='top_dropout')
self.dense_out = tf.keras.layers.Dense(n_classes, activation='softmax')
# self.out = self.call([self.img_input, self.pos_input])
# super(PlainEffNet, self).__init__(
# inputs=[self.img_input, self.pos_input], outputs=self.out, **kwargs)
def call(self, x, training=False):
x, position_ids = x
shape = tf.shape(x)
B, C, F, H, W = shape[0], shape[1], shape[2], shape[3], shape[4]
x = tf.transpose(x, perm=[0, 2, 3, 4, 1]) # B, F, H, W, C
x = tf.reshape(x, (B * F, H, W, C))
x = self.backbone(x, training=training)
x = self.pool(x)
x = tf.reshape(x, (B, -1))
x = self.dense(x)
x = self.dropout(x, training=training)
x = self.dense_out(x)
return x
| [
"comword@live.com"
] | comword@live.com |
cf3cf7a93963bbf5a088a5e1c72b59a4549b56c9 | 145f57f0418924d982444598f12b291f9c280657 | /roboticstoolbox/tools/models.py | 3fdfee260d919f196663e064d2178c7f06ebc3fa | [
"MIT"
] | permissive | HaoWangSir/robotics-toolbox-python | 3b56fd7abc094df1555f7c0aa8d015ef6c344c53 | a93165018e9fa165bde353193af2eb1534bba992 | refs/heads/master | 2022-12-18T22:41:18.642417 | 2020-09-18T01:15:13 | 2020-09-18T01:15:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 778 | py | import roboticstoolbox.models as m
def models():
"""
Display all robot models in summary form
``models()`` displays a list of all models provided by the Toolbox. It
lists the name, manufacturer, and number of joints.
"""
for category in ['DH', 'URDF', 'ETS']:
print(category + ':')
group = m.__dict__[category]
for cls in group.__dict__.values():
# TODO should check that cls issubclass of Robot superclass (when there is one)
try:
robot = cls()
except:
continue
s = robot.name
if robot.manufacturer is not None:
s += ' (' + robot.manufacturer + ')'
print(f" {s:40s} {robot.n:d} dof")
models() | [
"peter.i.corke@gmail.com"
] | peter.i.corke@gmail.com |
ff539193b88130070464951bfe9d6c30cd6969a6 | 9833cd31d96f2c38fd4d6291d660c534cbee638e | /code/visualize-dataset.py | 2fbb6a72df8418329a2ba66bf6f4ea5f9ef0ff06 | [] | no_license | AspirinCode/drug-discovery-feature-selection | 35129cdeb6665db0d04111364925dc5f62dd0661 | 69ae43ef498aaf1e3523220547732c5d3f7f310e | refs/heads/master | 2020-03-27T20:17:39.215137 | 2018-07-20T06:20:11 | 2018-07-20T06:20:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,733 | py | """
Visualize dataset:
* Feature importances using Extra Trees
* 2D plot using t-SNE with various perplexities
Execution time:
real 15m50.854s
user 14m30.858s
sys 0m30.375s
@author yohanes.gultom@gmail.com
"""
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import pandas
import os
from matplotlib.ticker import NullFormatter
from sklearn import manifold, datasets
from sklearn.preprocessing import StandardScaler, MinMaxScaler
from sklearn.ensemble import ExtraTreesClassifier
from time import time
# config
dataset_file = '../dataset/dataset.csv'
n_components = 2
perplexities = [5, 30, 50, 100]
chart_importances_filename = 'visualize-dataset_importances.png'
chart_filename_tpl = 'visualize-dataset_tsne_{}.png'
# check if display available
if os.name == 'posix' and "DISPLAY" not in os.environ:
matplotlib.use('Agg')
# read dataset
df = pandas.read_csv(dataset_file, index_col=0)
feature_names = list(df[df.columns.drop('Class')])
# split to data X and labels y
X = df[df.columns.drop('Class')].values.astype('float32')
y = df['Class'].values
# separate data by class
red = y == 0
green = y == 1
# scale data
scaler = MinMaxScaler()
X = scaler.fit_transform(X)
# feature importance check using Extra Trees
forest = ExtraTreesClassifier(n_estimators=250, random_state=0)
forest.fit(X, y)
importances = forest.feature_importances_
indices = np.argsort(importances)[::-1] # reverse
n = 10
print("Top {} most important features:".format(n))
for f in range(min(X.shape[1], n)):
print("{}. feature {} ({}): {:.4g}".format(f + 1, indices[f], feature_names[indices[f]], importances[indices[f]]))
# Set figure size to 1200 x 880 px
plt.figure(figsize=(15, 11))
# Plot the feature importances of the forest
plt.title("Feature importances")
plt.bar(range(X.shape[1]), importances, color="r", align="center")
plt.xlim([-1, X.shape[1]])
plt.ylabel("Importance")
plt.xlabel("Feature Index")
plt.savefig(chart_importances_filename)
# visualize dataset with TSNE
for i, perplexity in enumerate(perplexities):
t0 = time()
tsne = manifold.TSNE(n_components=n_components, init='random', random_state=0, perplexity=perplexity)
Y = tsne.fit_transform(X)
t1 = time()
print("t-SNE perplexity={} in {:.2g} sec".format(perplexity, t1 - t0))
# plot
fig, ax = plt.subplots()
ax.set_title("Perplexity=%d" % perplexity)
ax.scatter(Y[red, 0], Y[red, 1], c="r")
ax.scatter(Y[green, 0], Y[green, 1], c="g")
ax.xaxis.set_major_formatter(NullFormatter())
ax.yaxis.set_major_formatter(NullFormatter())
ax.axis('tight')
filename = chart_filename_tpl.format(perplexity)
plt.savefig(filename)
print("chart saved in {}".format(filename))
plt.show() | [
"yohanes.gultom@gmail.com"
] | yohanes.gultom@gmail.com |
ced609ff3700746a595cba6e854a51c4d16c80b6 | cfd7cd86b7098952910e7addf84ee96bbe463c4b | /iprPy-tools/process/process_structure_static.py | eeff1ef1535c0198bc273cd0230f24091a97cd67 | [] | no_license | vtran61/iprPy | 58519896abfd59bb7477bd8943e8a72ae0cce6cc | 53bc2b82863ac381710c3b20e90fd6f21db946f5 | refs/heads/master | 2021-01-14T14:23:16.459995 | 2016-03-30T19:32:11 | 2016-03-30T19:32:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,202 | py | import os
import glob
from DataModelDict import DataModelDict
def structure_static(xml_lib_dir):
calc_name = 'structure_static'
groups = os.path.join(xml_lib_dir, '*', calc_name, '*')
error_dict = DataModelDict()
for group_dir in glob.iglob(groups):
if os.path.isdir(group_dir):
calc_dir, group_name = os.path.split(group_dir)
pot_name = os.path.basename(os.path.dirname(calc_dir))
print pot_name
try:
with open(os.path.join(calc_dir, 'badlist.txt'), 'r') as f:
badlist = f.read().split()
except:
badlist = []
data = DataModelDict()
for sim_path in glob.iglob(os.path.join(group_dir, '*.xml')):
sim_file = os.path.basename(sim_path)
sim_name = sim_file[:-4]
if sim_name in badlist:
continue
with open(sim_path) as f:
sim = DataModelDict(f)['calculation-crystal-phase']
if 'error' in sim:
badlist.append(sim_name)
error_message = sim['error']
error = 'Unknown error'
for line in error_message.split('\n'):
if 'Error' in line:
error = line
error_dict.append(error, sim_name)
continue
try:
cell = sim['relaxed-atomic-system']['cell']
except:
tar_gz_path = sim_path[:-4] + '.tar.gz'
if os.isfile(tar_gz_path):
error_dict.append('Unknown error', sim_name)
continue
data.append('key', sim.get('calculation-id', ''))
data.append('file', sim['crystal-info'].get('artifact', ''))
data.append('symbols', '_'.join(sim['crystal-info'].aslist('symbols')))
data.append('Temperature (K)', sim['phase-state']['temperature']['value'])
data.append('Pressure (GPa)', sim['phase-state']['pressure']['value'])
cell = cell[cell.keys()[0]]
data.append('Ecoh (eV)', sim['cohesive-energy']['value'] )
if 'a' in cell:
data.append('a (A)', cell['a']['value'])
else:
data.append('a (A)', '')
if 'b' in cell:
data.append('b (A)', cell['b']['value'])
else:
data.append('b (A)', '')
if 'c' in cell:
data.append('c (A)', cell['c']['value'])
else:
data.append('c (A)', '')
C_dict = {}
for C in sim['elastic-constants'].iteraslist('C'):
C_dict[C['ij']] = C['stiffness']['value']
data.append('C11 (GPa)', C_dict.get('1 1', ''))
data.append('C22 (GPa)', C_dict.get('2 2', ''))
data.append('C33 (GPa)', C_dict.get('3 3', ''))
data.append('C12 (GPa)', C_dict.get('1 2', ''))
data.append('C13 (GPa)', C_dict.get('1 3', ''))
data.append('C23 (GPa)', C_dict.get('2 3', ''))
data.append('C44 (GPa)', C_dict.get('4 4', ''))
data.append('C55 (GPa)', C_dict.get('5 5', ''))
data.append('C66 (GPa)', C_dict.get('6 6', ''))
if len(data.keys()) > 0:
with open(os.path.join(calc_dir, 'structure_static_'+group_name+'.csv'), 'w') as f:
f.write(','.join(data.keys())+'\n')
for i in xrange(len(data.aslist('key'))):
f.write(','.join([str(data.aslist(k)[i]) for k in data.keys()]) + '\n')
with open(os.path.join(calc_dir, 'badlist.txt'), 'w') as f:
for bad in badlist:
f.write(bad+'\n')
| [
"lucas.hale@nist.gov"
] | lucas.hale@nist.gov |
1c6f5308ee148577f7f5e8389a9945efc8506c3e | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_96/514.py | caadd24b565d411ff0959939b90e3e6c793fb7b7 | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 822 | py | #!/usr/bin/python
import sys
ns = [0]*31
s = [-1]*31
for i in xrange(1,31):
if i % 3 == 0:
ns[i] = i // 3
s[i] = i // 3 + 1
elif i % 3 == 1:
ns[i] = i // 3 + 1
s[i] = i // 3 + 1
elif i % 3 == 2:
ns[i] = i // 3 + 1
s[i] = i // 3 + 2
i = iter(map(int, sys.stdin.read().split()))
T = next(i)
for case in xrange(1,T+1):
N = next(i)
S = next(i)
p = next(i)
t = iter(sorted((next(i) for n in xrange(N)), reverse=True))
result = 0
while True:
try:
ti = next(t)
if ns[ti] >= p:
result += 1
elif s[ti] >= p and S > 0:
result += 1
S -= 1
else:
break
except:
break
print "Case #%d:" % case, result
| [
"miliar1732@gmail.com"
] | miliar1732@gmail.com |
e48daae6ec102de56d95f2ca83541aae1805e989 | d3e2a5fec27ae2272ff9191f45af84c8eacc7693 | /snakemakelib/graphics/axes.py | cefa25eb6f0b4fa0d06c5d8c7230925f1388ef4e | [
"MIT"
] | permissive | jfear/snakemakelib-core | c49b9308a66361722b75869b7f461e340fef188b | b2d3cf1ecb84d630d0cc04646f86859ccac7f4c1 | refs/heads/master | 2021-01-21T00:44:32.396115 | 2016-02-07T22:49:08 | 2016-02-07T22:49:08 | 50,690,606 | 0 | 0 | null | 2016-01-29T20:53:48 | 2016-01-29T20:53:48 | null | UTF-8 | Python | false | false | 4,374 | py | '''
Author: Per Unneberg
Created: Wed Dec 2 07:52:08 2015
'''
from . import utils
from snakemakelib.log import LoggerManager
smllogger = LoggerManager().getLogger(__name__)
__all__ = ['xaxis', 'yaxis', 'main', 'grid', 'legend']
def xaxis(fig, i=None, **kwargs):
"""xaxis - modify the xaxis
Args:
fig (:py:class:`~bokeh.plotting.Plot`): bokeh Plot object
i (int): index to use if setting tick formatters and the like; see `tick label formats <http://bokeh.pydata.org/en/latest/docs/user_guide/styling.html#tick-label-formats>`_
kwargs: keyword arguments to pass to figure xaxis
Example:
.. bokeh-plot::
:source-position: above
import pandas as pd
import numpy as np
from bokeh.plotting import figure, show, hplot
from snakemakelib.graphics import points, xaxis, yaxis, grid, main, legend
df = pd.DataFrame([[1,2], [2,5], [3,9]], columns=["x", "y"])
f = figure(title="Test", plot_width=300, plot_height=300)
points(f, "x", "y", df, color="red")
points(f, "y", "x", df, legend="y")
xaxis(f, axis_label="x", major_label_orientation=np.pi/3)
yaxis(f, axis_label=None, axis_line_color=None)
grid(f, grid_line_color="black")
main(f, title="My plot", title_text_font_style="italic",
title_text_color="olive", title_text_font="times")
legend(f, orientation="bottom_left")
show(f)
"""
kwargs = {k.replace("x_", ""):v for k,v in kwargs.items()}
try:
props = fig.xaxis[0].properties()
except:
raise
kwaxis = utils.fig_args(kwargs, props)
try:
if i is None:
for i in range(len(fig.xaxis)):
fig.xaxis[i].set(**kwaxis)
else:
fig.xaxis[i].set(**kwaxis)
except AttributeError:
raise
def yaxis(fig, i=None, **kwargs):
"""yaxis - modify the yaxis
Args:
fig (:py:class:`~bokeh.plotting.Plot`): bokeh Plot object
i (int): index to use if setting tick formatters and the like; see `tick label formats <http://bokeh.pydata.org/en/latest/docs/user_guide/styling.html#tick-label-formats>`_
kwargs: keyword arguments to pass to figure yaxis
Example:
see xaxis example
"""
kwargs = {k.replace("y_", ""):v for k,v in kwargs.items()}
try:
props = fig.yaxis[0].properties()
except:
raise
kwaxis = utils.fig_args(kwargs, props)
try:
if i is None:
for i in range(len(fig.yaxis)):
fig.yaxis[i].set(**kwaxis)
else:
fig.yaxis[i].set(**kwaxis)
except AttributeError:
raise
def main(fig, **kwargs):
"""main - modify the title
Args:
fig (:py:class:`~bokeh.plotting.Plot`): bokeh Plot object
kwargs: keyword arguments to pass to figure.title
Example:
"""
for k, v in kwargs.items():
if not k.startswith("title"):
smllogger.warn("trying to set attribute {} via title".format(k))
continue
try:
setattr(fig, k, v)
except AttributeError:
smllogger.error("unexpected attribute {} to 'main'".format(k))
raise
def legend(fig, **kwargs):
"""legend - modify the legend
Args:
fig (:py:class:`~bokeh.plotting.Plot`): bokeh Plot object
kwargs: keyword arguments to pass to figure.legend
Example:
See xaxis.
"""
if len(fig.legend) == 0:
smllogger.warn("no legend defined in figure; creation of new legend currently not supported")
return
for k, v in kwargs.items():
try:
setattr(fig.legend, k, v)
except AttributeError:
smllogger.error("unexpected attribute {} to {}".format(k, fig.legend))
raise
except:
raise
def grid(fig, **kwargs):
"""grid - modify the grid
Args:
fig (:py:class:`~bokeh.plotting.Plot`): bokeh Plot object
kwargs: keyword arguments to pass to figure grid
Example:
see xaxis example
"""
for k, v in kwargs.items():
try:
setattr(fig.grid, k, v)
except AttributeError:
smllogger.error("unexpected attribute {} to {}".format(k, fig.grid))
raise
| [
"per.unneberg@scilifelab.se"
] | per.unneberg@scilifelab.se |
686480212b8364d3ab57598f0cbbe63d471e740d | a838d4bed14d5df5314000b41f8318c4ebe0974e | /sdk/translation/azure-ai-translation-document/tests/asynctestcase.py | b1c7a3b9c6813d0e7969edfc55beae0aed351f78 | [
"LicenseRef-scancode-generic-cla",
"MIT",
"LGPL-2.1-or-later"
] | permissive | scbedd/azure-sdk-for-python | ee7cbd6a8725ddd4a6edfde5f40a2a589808daea | cc8bdfceb23e5ae9f78323edc2a4e66e348bb17a | refs/heads/master | 2023-09-01T08:38:56.188954 | 2021-06-17T22:52:28 | 2021-06-17T22:52:28 | 159,568,218 | 2 | 0 | MIT | 2019-08-11T21:16:01 | 2018-11-28T21:34:49 | Python | UTF-8 | Python | false | false | 4,458 | py | # coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
import os
from testcase import DocumentTranslationTest, Document
from azure.ai.translation.document import DocumentTranslationInput, TranslationTarget
class AsyncDocumentTranslationTest(DocumentTranslationTest):
def __init__(self, method_name):
super(AsyncDocumentTranslationTest, self).__init__(method_name)
def generate_oauth_token(self):
if self.is_live:
from azure.identity.aio import ClientSecretCredential
return ClientSecretCredential(
os.getenv("TRANSLATION_TENANT_ID"),
os.getenv("TRANSLATION_CLIENT_ID"),
os.getenv("TRANSLATION_CLIENT_SECRET"),
)
async def _begin_and_validate_translation_async(self, async_client, translation_inputs, total_docs_count, language=None):
# submit operation
poller = await async_client.begin_translation(translation_inputs)
self.assertIsNotNone(poller.id)
# wait for result
doc_statuses = await poller.result()
# validate
self._validate_translation_metadata(poller=poller, status='Succeeded', total=total_docs_count, succeeded=total_docs_count)
async for doc in doc_statuses:
self._validate_doc_status(doc, language)
return poller.id
# client helpers
async def _begin_multiple_translations_async(self, async_client, operations_count, **kwargs):
wait_for_operation = kwargs.pop('wait', True)
language_code = kwargs.pop('language_code', "es")
docs_per_operation = kwargs.pop('docs_per_operation', 2)
result_ids = []
for i in range(operations_count):
# prepare containers and test data
'''
# note
since we're only testing the client library
we can use sync container calls in here
no need for async container clients!
'''
blob_data = Document.create_dummy_docs(docs_per_operation)
source_container_sas_url = self.create_source_container(data=blob_data)
target_container_sas_url = self.create_target_container()
# prepare translation inputs
translation_inputs = [
DocumentTranslationInput(
source_url=source_container_sas_url,
targets=[
TranslationTarget(
target_url=target_container_sas_url,
language_code=language_code
)
]
)
]
# submit multiple operations
poller = await async_client.begin_translation(translation_inputs)
self.assertIsNotNone(poller.id)
if wait_for_operation:
await poller.result()
else:
await poller.wait()
result_ids.append(poller.id)
return result_ids
async def _begin_and_validate_translation_with_multiple_docs_async(self, async_client, docs_count, **kwargs):
# get input parms
wait_for_operation = kwargs.pop('wait', False)
language_code = kwargs.pop('language_code', "es")
# prepare containers and test data
blob_data = Document.create_dummy_docs(docs_count=docs_count)
source_container_sas_url = self.create_source_container(data=blob_data)
target_container_sas_url = self.create_target_container()
# prepare translation inputs
translation_inputs = [
DocumentTranslationInput(
source_url=source_container_sas_url,
targets=[
TranslationTarget(
target_url=target_container_sas_url,
language_code=language_code
)
]
)
]
# submit operation
poller = await async_client.begin_translation(translation_inputs)
self.assertIsNotNone(poller.id)
# wait for result
if wait_for_operation:
result = await poller.result()
async for doc in result:
self._validate_doc_status(doc, "es")
# validate
self._validate_translation_metadata(poller=poller)
return poller
| [
"noreply@github.com"
] | scbedd.noreply@github.com |
ae7f88407fe7d2451eb8774356d45933f90af59a | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03340/s635836646.py | 2c571bf6e84d7cac823b0f125ae5db4cf672e286 | [] | 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 | 296 | py | n = int(input())
A = list(map(int,input().split()))
ans = 0
l = 0
r = 0
bit = A[0]
total = A[0]
while True:
if bit == total:
ans += r-l+1
r += 1
if r == n:
break
total += A[r]
bit ^= A[r]
else:
total -= A[l]
bit ^= A[l]
l += 1
print(ans) | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
ed684da54409de93089b30bba581a10520c3695c | d12c7b974285a9ca0d4ddd06bd43223a03db5126 | /bkup_files/switchdb2.py | de040cb1d162e22ed404edfb5a92408a5984534d | [] | no_license | xod442/sad | 6b0006bdeb0ca31dc383b15de8197433c1a21733 | 0a1179b2730ee5a47c6e2d888b8bd748c9a46a0a | refs/heads/master | 2020-04-25T06:38:26.934968 | 2019-02-25T21:31:20 | 2019-02-25T21:31:20 | 172,587,665 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,120 | py | #!/usr/bin/env python
'''
Copyright 2016 Hewlett Packard Enterprise Development LP.
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.
__author__ = "@netwookie"
__copyright__ = "Copyright 2016, Hewlett Packard Enterprise Development LP."
__credits__ = ["Rick Kauffman"]
__license__ = "Apache2"
__version__ = "1.0.0"
__maintainer__ = "Rick Kauffman"
__email__ = "rick@rickkauffman.com"
__status__ = "Prototype"
switchdb A database tool for managing switches in the Ansible VAR file
'''
from flask import Flask, request, render_template, redirect, url_for, flash, session
from flask.ext.bootstrap import Bootstrap
from flask_sqlalchemy import SQLAlchemy
from sdb_maker import db
from sdb_maker import Students
app = Flask(__name__)
bootstrap = Bootstrap(app)
# Moving on
@app.route('/')
@app.route('/index')
def show_all():
return render_template('show_all.html', students = Students.query.all() )
@app.route('/new', methods = ['GET', 'POST'])
def new():
if request.method == 'POST':
if not request.form['name'] or not request.form['city'] or not request.form['addr']:
flash('Please enter all the fields', 'error')
else:
student = Students(request.form['name'], request.form['city'],
request.form['addr'], request.form['pin'])
db.session.add(student)
db.session.commit()
flash('Record was successfully added')
return redirect(url_for('show_all'))
return render_template('new.html')
if __name__ == '__main__':
db.create_all()
app.secret_key = 'SuperSecret'
app.debug = True
app.run(host='0.0.0.0')
| [
"rick@rickkauffman.com"
] | rick@rickkauffman.com |
85c357808c48b54144a7b87a95e364a7db447d23 | 3eeee2ab87695b5e9f209ba4601dbcebd5d00036 | /AndroidApp/app_hello.py | 8fc554a906525fa547bbd1abcd92ebc3908161f0 | [] | no_license | pangxie1987/WebApp | 483fbdd6c65f78e35ab2f1bd98701a7fb1fbb8f9 | 7d3e679bf1af4a5a4d4e89866789bb6f583eae71 | refs/heads/master | 2020-03-18T17:53:01.030177 | 2018-07-02T11:09:32 | 2018-07-02T11:09:32 | 135,057,400 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 228 | py | # -*- coding:utf-8 -*-
#qpy:kivy
import kivy
kivy.require('1.10.0')
from kivy.app import App
from kivy.uix.button import Button
class TestApp(App):
def build(self):
return Button(text='hello,kivy')
TestApp().run() | [
"lpb.waln@outlook.com"
] | lpb.waln@outlook.com |
ecda99ac45a8c50659a0c956bd055386e192a895 | 27455af4306bdb2d470bc7aa6a412ffb7950e1e1 | /cask/accounts/models.py | cd6dbae3e1fef3870e44d171a3457f357b2ed62c | [
"Apache-2.0"
] | permissive | dcramer/cask-server | 7a647a31cb798273ee9d3d8c7e43c28e829dec80 | 32535229a907479c3645aa34b75755d3e2b12dda | refs/heads/master | 2022-12-09T10:00:57.842269 | 2018-08-30T15:50:44 | 2018-08-30T15:50:44 | 143,897,850 | 3 | 0 | Apache-2.0 | 2022-10-18T19:15:29 | 2018-08-07T16:08:56 | Python | UTF-8 | Python | false | false | 2,658 | py | from uuid import uuid4
from django.conf import settings
from django.contrib.auth.models import AbstractUser, BaseUserManager
from django.db import models
from django.utils.translation import ugettext_lazy as _
class UserManager(BaseUserManager):
use_in_migrations = True
def _create_user(self, email, password, **extra_fields):
if not email:
raise ValueError("The given email must be set")
email = self.normalize_email(email)
user = self.model(email=email, **extra_fields)
user.set_password(password)
user.save(using=self._db)
return user
def create_user(self, email, password=None, **extra_fields):
extra_fields.setdefault("is_staff", False)
extra_fields.setdefault("is_superuser", False)
return self._create_user(email, password, **extra_fields)
def create_superuser(self, email, password, **extra_fields):
extra_fields.setdefault("is_staff", True)
extra_fields.setdefault("is_superuser", True)
if extra_fields.get("is_staff") is not True:
raise ValueError("Superuser must have is_staff=True.")
if extra_fields.get("is_superuser") is not True:
raise ValueError("Superuser must have is_superuser=True.")
return self._create_user(email, password, **extra_fields)
class Follower(models.Model):
id = models.UUIDField(primary_key=True, default=uuid4, editable=False)
from_user = models.ForeignKey(
settings.AUTH_USER_MODEL, on_delete=models.CASCADE, related_name="following"
)
to_user = models.ForeignKey(
settings.AUTH_USER_MODEL, on_delete=models.CASCADE, related_name="followers"
)
created_at = models.DateTimeField(auto_now_add=True)
class Meta:
unique_together = (("from_user", "to_user"),)
class Identity(models.Model):
id = models.UUIDField(primary_key=True, default=uuid4, editable=False)
user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE)
provider = models.CharField(max_length=32)
external_id = models.CharField(max_length=32)
class Meta:
unique_together = (("provider", "external_id"),)
class User(AbstractUser):
id = models.UUIDField(primary_key=True, default=uuid4, editable=False)
username = None
first_name = None
last_name = None
name = models.CharField(max_length=128, null=True)
email = models.EmailField(_("email address"), unique=True)
USERNAME_FIELD = "email"
REQUIRED_FIELDS = []
objects = UserManager()
def get_full_name(self):
return self.name
def get_short_name(self):
return self.name
| [
"dcramer@gmail.com"
] | dcramer@gmail.com |
e6179298367cbd15cd408ea1aff67299148fb15c | 531947701b18907ab1646bc1666ad3129f20ccec | /ttp/formatters/n2g_formatter.py | d22e2fdf8b02047f75ae55b30b9f059645d323e5 | [
"MIT"
] | permissive | dmulyalin/ttp | 45a0df04c089874f677670e1105dd2c544b095b2 | 483863e7966f9ab2be5e8cbd8b6316c82e380f1a | refs/heads/master | 2023-07-06T01:46:40.799147 | 2023-06-25T00:40:39 | 2023-06-25T00:40:39 | 216,000,389 | 322 | 44 | MIT | 2022-10-21T09:32:32 | 2019-10-18T10:33:52 | Python | UTF-8 | Python | false | false | 1,501 | py | import logging
log = logging.getLogger(__name__)
def n2g(data, **kwargs):
# load kwargs
module = kwargs.get("module", "yed")
method = kwargs.get("method", "from_list")
path = kwargs.get("path", [])
node_dups = kwargs.get("node_duplicates", "skip")
link_dups = kwargs.get("link_duplicates", "skip")
method_kwargs = kwargs.get("method_kwargs", {})
algo = kwargs.get("algo", None)
# import N2G library
try:
if module.lower() == "yed":
from N2G import yed_diagram as create_diagram
elif module.lower() == "drawio":
from N2G import drawio_diagram as create_diagram
else:
log.error(
"No N2G module '{}', supported values are 'yEd', 'DrawIO'".format(
module
)
)
return data
except ImportError:
log.error("Failed to import N2G '{}' module".format(module))
return data
diagram_obj = create_diagram(node_duplicates=node_dups, link_duplicates=link_dups)
# normalize results_data to list:
if isinstance(data, dict): # handle the case for group specific output
data = [data]
# make graph
for result in data:
result_datum = _ttp_["output"]["traverse"](result, path)
getattr(diagram_obj, method)(result_datum, **method_kwargs)
# layout graph
if algo:
diagram_obj.layout(algo=algo)
# return results XML
data = diagram_obj.dump_xml()
return data
| [
"d.mulyalin@gmail.com"
] | d.mulyalin@gmail.com |
31f519dcb85e758e5d904e064226e0b0b4d5cae2 | 0e1e643e864bcb96cf06f14f4cb559b034e114d0 | /Exps_7_v3/doc3d/I_to_M_Gk3_no_pad/wiColorJ/pyr_Tcrop255_p60_j15/Sob_k33_s001/pyr_2s/L4/step10_a.py | e5d17650ad1f771bdfb4e5864b7e912ecfa372d0 | [] | no_license | KongBOy/kong_model2 | 33a94a9d2be5b0f28f9d479b3744e1d0e0ebd307 | 1af20b168ffccf0d5293a393a40a9fa9519410b2 | refs/heads/master | 2022-10-14T03:09:22.543998 | 2022-10-06T11:33:42 | 2022-10-06T11:33:42 | 242,080,692 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,549 | py | #############################################################################################################################################################################################################
#############################################################################################################################################################################################################
### 把 kong_model2 加入 sys.path
import os
code_exe_path = os.path.realpath(__file__) ### 目前執行 step10_b.py 的 path
code_exe_path_element = code_exe_path.split("\\") ### 把 path 切分 等等 要找出 kong_model 在第幾層
code_dir = "\\".join(code_exe_path_element[:-1])
kong_layer = code_exe_path_element.index("kong_model2") ### 找出 kong_model2 在第幾層
kong_model2_dir = "\\".join(code_exe_path_element[:kong_layer + 1]) ### 定位出 kong_model2 的 dir
import sys ### 把 kong_model2 加入 sys.path
sys.path.append(kong_model2_dir)
sys.path.append(code_dir)
# print(__file__.split("\\")[-1])
# print(" code_exe_path:", code_exe_path)
# print(" code_exe_path_element:", code_exe_path_element)
# print(" code_dir:", code_dir)
# print(" kong_layer:", kong_layer)
# print(" kong_model2_dir:", kong_model2_dir)
#############################################################################################################################################################################################################
kong_to_py_layer = len(code_exe_path_element) - 1 - kong_layer ### 中間 -1 是為了長度轉index
# print(" kong_to_py_layer:", kong_to_py_layer)
if (kong_to_py_layer == 0): template_dir = ""
elif(kong_to_py_layer == 2): template_dir = code_exe_path_element[kong_layer + 1][0:] ### [7:] 是為了去掉 step1x_， 後來覺得好像改有意義的名字不去掉也行所以 改 0
elif(kong_to_py_layer == 3): template_dir = code_exe_path_element[kong_layer + 1][0:] + "/" + code_exe_path_element[kong_layer + 2][0:] ### [5:] 是為了去掉 mask_ ，前面的 mask_ 是為了python 的 module 不能 數字開頭， 隨便加的這樣子， 後來覺得 自動排的順序也可以接受， 所以 改0
elif(kong_to_py_layer > 3): template_dir = code_exe_path_element[kong_layer + 1][0:] + "/" + code_exe_path_element[kong_layer + 2][0:] + "/" + "/".join(code_exe_path_element[kong_layer + 3: -1])
# print(" template_dir:", template_dir) ### 舉例： template_dir: 7_mask_unet/5_os_book_and_paper_have_dtd_hdr_mix_bg_tv_s04_mae
#############################################################################################################################################################################################################
exp_dir = template_dir
#############################################################################################################################################################################################################
from step06_a_datas_obj import *
from step09_2side_L4 import *
from step10_a2_loss_info_obj import *
from step10_b2_exp_builder import Exp_builder
rm_paths = [path for path in sys.path if code_dir in path]
for rm_path in rm_paths: sys.path.remove(rm_path)
rm_moduless = [module for module in sys.modules if "step09" in module]
for rm_module in rm_moduless: del sys.modules[rm_module]
#############################################################################################################################################################################################################
'''
exp_dir 是 決定 result_dir 的 "上一層"資料夾 名字喔！ exp_dir要巢狀也沒問題～
比如：exp_dir = "6_mask_unet/自己命的名字"，那 result_dir 就都在：
6_mask_unet/自己命的名字/result_a
6_mask_unet/自己命的名字/result_b
6_mask_unet/自己命的名字/...
'''
use_db_obj = type8_blender_kong_doc3d_in_I_gt_MC
use_loss_obj = [G_sobel_k33_loss_info_builder.set_loss_target("UNet_Mask").copy()] ### z, y, x 順序是看 step07_b_0b_Multi_UNet 來對應的喔
#############################################################
### 為了resul_analyze畫空白的圖，建一個empty的 Exp_builder
empty = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_1__2side_1, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_1__2side_1.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="為了resul_analyze畫空白的圖，建一個empty的 Exp_builder")
#############################################################
ch032_1side_1__2side_1 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_1__2side_1, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_1__2side_1.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_2__2side_1 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_2__2side_1, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_2__2side_1.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_2__2side_2 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_2__2side_2, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_2__2side_2.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_3__2side_1 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_3__2side_1, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_3__2side_1.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_3__2side_2 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_3__2side_2, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_3__2side_2.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_3__2side_3 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_3__2side_3, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_3__2side_3.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_4__2side_1 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_4__2side_1, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_4__2side_1.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_4__2side_2 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_4__2side_2, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_4__2side_2.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_4__2side_3 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_4__2side_3, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_4__2side_3.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_4__2side_4 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_4__2side_4, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_4__2side_4.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_5__2side_1 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_5__2side_1, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_5__2side_1.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_5__2side_2 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_5__2side_2, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_5__2side_2.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_5__2side_3 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_5__2side_3, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_5__2side_3.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_5__2side_4 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_5__2side_4, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_5__2side_4.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
ch032_1side_5__2side_5 = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_1side_5__2side_5, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_1side_5__2side_5.kong_model.model_describe) .set_train_args(epochs= 1) .set_train_iter_args(it_see_fq=900, it_save_fq=900 * 2, it_down_step="half", it_down_fq=900).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="")
#############################################################
if(__name__ == "__main__"):
print("build exps cost time:", time.time() - start_time)
if len(sys.argv) < 2:
############################################################################################################
### 直接按 F5 或打 python step10_b1_exp_obj_load_and_train_and_test.py，後面沒有接東西喔！才不會跑到下面給 step10_b_subprocss.py 用的程式碼~~~
ch032_1side_1__2side_0.build().run()
# print('no argument')
sys.exit()
### 以下是給 step10_b_subprocess.py 用的，相當於cmd打 python step10_b1_exp_obj_load_and_train_and_test.py 某個exp.build().run()
eval(sys.argv[1])
| [
"s89334roy@yahoo.com.tw"
] | s89334roy@yahoo.com.tw |
042568a8ee2acf18093ebb5b70a37e1db07273dd | acb8e84e3b9c987fcab341f799f41d5a5ec4d587 | /langs/6/o0v.py | fb34f375bd962237285840ba0c98437fa4444cb0 | [] | no_license | G4te-Keep3r/HowdyHackers | 46bfad63eafe5ac515da363e1c75fa6f4b9bca32 | fb6d391aaecb60ab5c4650d4ae2ddd599fd85db2 | refs/heads/master | 2020-08-01T12:08:10.782018 | 2016-11-13T20:45:50 | 2016-11-13T20:45:50 | 73,624,224 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 486 | py | import sys
def printFunction(lineRemaining):
if lineRemaining[0] == '"' and lineRemaining[-1] == '"':
if len(lineRemaining) > 2:
#data to print
lineRemaining = lineRemaining[1:-1]
print ' '.join(lineRemaining)
else:
print
def main(fileName):
with open(fileName) as f:
for line in f:
data = line.split()
if data[0] == 'o0V':
printFunction(data[1:])
else:
print 'ERROR'
return
if __name__ == '__main__':
main(sys.argv[1]) | [
"juliettaylorswift@gmail.com"
] | juliettaylorswift@gmail.com |
16d282009891a2c4adc9dddaac41212fbcddde77 | 42c48f3178a48b4a2a0aded547770027bf976350 | /google/ads/google_ads/v4/services/transports/user_data_service_grpc_transport.py | ec4db4762b7980b03241c7cdc39e9b4037068321 | [
"Apache-2.0"
] | permissive | fiboknacky/google-ads-python | e989464a85f28baca1f28d133994c73759e8b4d6 | a5b6cede64f4d9912ae6ad26927a54e40448c9fe | refs/heads/master | 2021-08-07T20:18:48.618563 | 2020-12-11T09:21:29 | 2020-12-11T09:21:29 | 229,712,514 | 0 | 0 | Apache-2.0 | 2019-12-23T08:44:49 | 2019-12-23T08:44:49 | null | UTF-8 | Python | false | false | 4,394 | py | # -*- coding: utf-8 -*-
#
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import google.api_core.grpc_helpers
from google.ads.google_ads.v4.proto.services import user_data_service_pb2_grpc
class UserDataServiceGrpcTransport(object):
"""gRPC transport class providing stubs for
google.ads.googleads.v4.services UserDataService API.
The transport provides access to the raw gRPC stubs,
which can be used to take advantage of advanced
features of gRPC.
"""
# The scopes needed to make gRPC calls to all of the methods defined
# in this service.
_OAUTH_SCOPES = (
)
def __init__(self, channel=None, credentials=None,
address='googleads.googleapis.com:443'):
"""Instantiate the transport class.
Args:
channel (grpc.Channel): A ``Channel`` instance through
which to make calls. This argument is mutually exclusive
with ``credentials``; providing both will raise an exception.
credentials (google.auth.credentials.Credentials): The
authorization credentials to attach to requests. These
credentials identify this application to the service. If none
are specified, the client will attempt to ascertain the
credentials from the environment.
address (str): The address where the service is hosted.
"""
# If both `channel` and `credentials` are specified, raise an
# exception (channels come with credentials baked in already).
if channel is not None and credentials is not None:
raise ValueError(
'The `channel` and `credentials` arguments are mutually '
'exclusive.',
)
# Create the channel.
if channel is None:
channel = self.create_channel(
address=address,
credentials=credentials,
)
self._channel = channel
# gRPC uses objects called "stubs" that are bound to the
# channel and provide a basic method for each RPC.
self._stubs = {
'user_data_service_stub': user_data_service_pb2_grpc.UserDataServiceStub(channel),
}
@classmethod
def create_channel(
cls,
address='googleads.googleapis.com:443',
credentials=None,
**kwargs):
"""Create and return a gRPC channel object.
Args:
address (str): The host for the channel to use.
credentials (~.Credentials): The
authorization credentials to attach to requests. These
credentials identify this application to the service. If
none are specified, the client will attempt to ascertain
the credentials from the environment.
kwargs (dict): Keyword arguments, which are passed to the
channel creation.
Returns:
grpc.Channel: A gRPC channel object.
"""
return google.api_core.grpc_helpers.create_channel(
address,
credentials=credentials,
scopes=cls._OAUTH_SCOPES,
**kwargs
)
@property
def channel(self):
"""The gRPC channel used by the transport.
Returns:
grpc.Channel: A gRPC channel object.
"""
return self._channel
@property
def upload_user_data(self):
"""Return the gRPC stub for :meth:`UserDataServiceClient.upload_user_data`.
Uploads the given user data.
Returns:
Callable: A callable which accepts the appropriate
deserialized request object and returns a
deserialized response object.
"""
return self._stubs['user_data_service_stub'].UploadUserData | [
"noreply@github.com"
] | fiboknacky.noreply@github.com |
0d2350576ecf378e8d10e1a1b24cde6cb267ba87 | c7967ec500b210513aa0b1f540144c931ca687ac | /알고리즘 스터디/개인공부/BinarySearch/LIS2.py | 779a83856bf648e87df66face366164bdbfb6827 | [] | no_license | sunminky/algorythmStudy | 9a88e02c444b10904cebae94170eba456320f8e8 | 2ee1b5cf1f2e5f7ef87b44643210f407c4aa90e2 | refs/heads/master | 2023-08-17T01:49:43.528021 | 2023-08-13T08:11:37 | 2023-08-13T08:11:37 | 225,085,243 | 1 | 3 | null | null | null | null | UTF-8 | Python | false | false | 478 | py | # https://www.acmicpc.net/problem/12015
# https://www.acmicpc.net/problem/12738
#세그먼트 트리로도 구현 가능
import sys
from bisect import bisect_left
if __name__ == '__main__':
n_number = int(sys.stdin.readline())
numbers = list(map(int, sys.stdin.readline().split()))
lis = []
for n in numbers:
idx = bisect_left(lis, n)
if idx == len(lis):
lis.append(n)
else:
lis[idx] = n
print(len(lis))
| [
"suns1502@gmail.com"
] | suns1502@gmail.com |
e998cf66ff60d424742afe61f74535b053faffa7 | cc9a87e975546e2ee2957039cceffcb795850d4f | /venv/lib/python3.7/site-packages/pip-19.0.3-py3.7.egg/pip/_internal/models/link.py | 141f2d2c35393534ffdd72be7baa027e24c5b1d5 | [] | no_license | CodeHunterDev/Belajar-Python | 304d3243801b91b3605d2b9bd09e49a30735e51b | 9dd2ffb556eed6b2540da19c5f206fedb218ae99 | refs/heads/master | 2023-03-19T22:12:46.330272 | 2020-02-04T08:02:00 | 2020-02-04T08:02:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,860 | py | # Copyright (c) 2020. Adam Arthur Faizal
import posixpath
import re
from pip._vendor.six.moves.urllib import parse as urllib_parse
from pip._internal.download import path_to_url
from pip._internal.utils.misc import (
WHEEL_EXTENSION, redact_password_from_url, splitext,
)
from pip._internal.utils.models import KeyBasedCompareMixin
from pip._internal.utils.typing import MYPY_CHECK_RUNNING
if MYPY_CHECK_RUNNING:
from typing import Optional, Tuple, Union, Text # noqa: F401
from pip._internal.index import HTMLPage # noqa: F401
class Link(KeyBasedCompareMixin):
"""Represents a parsed link from a Package Index's simple URL
"""
def __init__(self, url, comes_from=None, requires_python=None):
# type: (str, Optional[Union[str, HTMLPage]], Optional[str]) -> None
"""
url:
url of the resource pointed to (href of the link)
comes_from:
instance of HTMLPage where the link was found, or string.
requires_python:
String containing the `Requires-Python` metadata field, specified
in PEP 345. This may be specified by a data-requires-python
attribute in the HTML link tag, as described in PEP 503.
"""
# url can be a UNC windows share
if url.startswith('\\\\'):
url = path_to_url(url)
self.url = url
self.comes_from = comes_from
self.requires_python = requires_python if requires_python else None
super(Link, self).__init__(
key=(self.url),
defining_class=Link
)
def __str__(self):
if self.requires_python:
rp = ' (requires-python:%s)' % self.requires_python
else:
rp = ''
if self.comes_from:
return '%s (from %s)%s' % (redact_password_from_url(self.url),
self.comes_from, rp)
else:
return redact_password_from_url(str(self.url))
def __repr__(self):
return '<Link %s>' % self
@property
def filename(self):
# type: () -> str
_, netloc, path, _, _ = urllib_parse.urlsplit(self.url)
name = posixpath.basename(path.rstrip('/')) or netloc
name = urllib_parse.unquote(name)
assert name, ('URL %r produced no filename' % self.url)
return name
@property
def scheme(self):
# type: () -> str
return urllib_parse.urlsplit(self.url)[0]
@property
def netloc(self):
# type: () -> str
return urllib_parse.urlsplit(self.url)[1]
@property
def path(self):
# type: () -> str
return urllib_parse.unquote(urllib_parse.urlsplit(self.url)[2])
def splitext(self):
# type: () -> Tuple[str, str]
return splitext(posixpath.basename(self.path.rstrip('/')))
@property
def ext(self):
# type: () -> str
return self.splitext()[1]
@property
def url_without_fragment(self):
# type: () -> str
scheme, netloc, path, query, fragment = urllib_parse.urlsplit(self.url)
return urllib_parse.urlunsplit((scheme, netloc, path, query, None))
_egg_fragment_re = re.compile(r'[#&]egg=([^&]*)')
@property
def egg_fragment(self):
# type: () -> Optional[str]
match = self._egg_fragment_re.search(self.url)
if not match:
return None
return match.group(1)
_subdirectory_fragment_re = re.compile(r'[#&]subdirectory=([^&]*)')
@property
def subdirectory_fragment(self):
# type: () -> Optional[str]
match = self._subdirectory_fragment_re.search(self.url)
if not match:
return None
return match.group(1)
_hash_re = re.compile(
r'(sha1|sha224|sha384|sha256|sha512|md5)=([a-f0-9]+)'
)
@property
def hash(self):
# type: () -> Optional[str]
match = self._hash_re.search(self.url)
if match:
return match.group(2)
return None
@property
def hash_name(self):
# type: () -> Optional[str]
match = self._hash_re.search(self.url)
if match:
return match.group(1)
return None
@property
def show_url(self):
# type: () -> Optional[str]
return posixpath.basename(self.url.split('#', 1)[0].split('?', 1)[0])
@property
def is_wheel(self):
# type: () -> bool
return self.ext == WHEEL_EXTENSION
@property
def is_artifact(self):
# type: () -> bool
"""
Determines if this points to an actual artifact (e.g. a tarball) or if
it points to an "abstract" thing like a path or a VCS location.
"""
from pip._internal.vcs import vcs
if self.scheme in vcs.all_schemes:
return False
return True
| [
"adam.faizal.af6@gmail.com"
] | adam.faizal.af6@gmail.com |
0cb2292823c2f8a42d1cff2808998981ab7b4e92 | 0ff91fa3bcd9cc115d5f9e73d82dca4d777143aa | /hackerrank/python/Strings/find-a-string-English.py | 59f84647150fc1b03d914bd883a9ebdb033c0039 | [] | no_license | Cekurok/codes-competition | 1b335851b3e07b58a276b29c72df16ddbeff6b80 | 834afa2cc50549c82c72f5b0285661cd81f9a837 | refs/heads/master | 2021-09-16T05:08:58.689661 | 2018-06-16T18:35:16 | 2018-06-16T18:35:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 232 | py | def count_substring(string, sub_string):
count = 0
subLen = len(sub_string)
strLen = len(string)
strLen -= subLen
for i in range(0,strLen+1):
if (sub_string == string[i:i+subLen]):
count += 1
return count | [
"rrangarajan.85@gmail.com"
] | rrangarajan.85@gmail.com |
353c0067d968cb6f3ae5b0d88ad3817aec595d26 | 5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d | /alipay/aop/api/domain/KbAdvertChannelResponse.py | 4713f34ba023cae3655b08598ab7e21203a5508d | [
"Apache-2.0"
] | permissive | alipay/alipay-sdk-python-all | 8bd20882852ffeb70a6e929038bf88ff1d1eff1c | 1fad300587c9e7e099747305ba9077d4cd7afde9 | refs/heads/master | 2023-08-27T21:35:01.778771 | 2023-08-23T07:12:26 | 2023-08-23T07:12:26 | 133,338,689 | 247 | 70 | Apache-2.0 | 2023-04-25T04:54:02 | 2018-05-14T09:40:54 | Python | UTF-8 | Python | false | false | 2,569 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class KbAdvertChannelResponse(object):
def __init__(self):
self._channel_id = None
self._memo = None
self._name = None
self._status = None
self._type = None
@property
def channel_id(self):
return self._channel_id
@channel_id.setter
def channel_id(self, value):
self._channel_id = value
@property
def memo(self):
return self._memo
@memo.setter
def memo(self, value):
self._memo = value
@property
def name(self):
return self._name
@name.setter
def name(self, value):
self._name = value
@property
def status(self):
return self._status
@status.setter
def status(self, value):
self._status = value
@property
def type(self):
return self._type
@type.setter
def type(self, value):
self._type = value
def to_alipay_dict(self):
params = dict()
if self.channel_id:
if hasattr(self.channel_id, 'to_alipay_dict'):
params['channel_id'] = self.channel_id.to_alipay_dict()
else:
params['channel_id'] = self.channel_id
if self.memo:
if hasattr(self.memo, 'to_alipay_dict'):
params['memo'] = self.memo.to_alipay_dict()
else:
params['memo'] = self.memo
if self.name:
if hasattr(self.name, 'to_alipay_dict'):
params['name'] = self.name.to_alipay_dict()
else:
params['name'] = self.name
if self.status:
if hasattr(self.status, 'to_alipay_dict'):
params['status'] = self.status.to_alipay_dict()
else:
params['status'] = self.status
if self.type:
if hasattr(self.type, 'to_alipay_dict'):
params['type'] = self.type.to_alipay_dict()
else:
params['type'] = self.type
return params
@staticmethod
def from_alipay_dict(d):
if not d:
return None
o = KbAdvertChannelResponse()
if 'channel_id' in d:
o.channel_id = d['channel_id']
if 'memo' in d:
o.memo = d['memo']
if 'name' in d:
o.name = d['name']
if 'status' in d:
o.status = d['status']
if 'type' in d:
o.type = d['type']
return o
| [
"liuqun.lq@alibaba-inc.com"
] | liuqun.lq@alibaba-inc.com |
b3d499fb081e6e3f518bdc86e8f89fb91acb6430 | 754f2e0cc83a16efda4f7a9c76b34dceb082bec6 | /myblog/project/blog/models.py | 90f126c98a839a791c3f635a734c0273983e8491 | [] | no_license | veujs/myblog | b520c7742c6e761c851bbe9be13b235ef49587ea | 326613e1563d3e63af35604c6592f014b35177d2 | refs/heads/master | 2020-04-15T17:14:34.161131 | 2019-02-27T06:51:17 | 2019-02-27T06:51:17 | 164,866,687 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 501 | py | from django.db import models
# Create your models here.
from django.utils import timezone
from django.contrib.auth.models import User
class BlogArticles(models.Model):
title = models.CharField(max_length=100)
author = models.ForeignKey(User,related_name="blog_posts")
body = models.TextField()
publish = models.DateTimeField(default=timezone.now)
class Meta():
db_table = "blog_articles"
ordering = ["-publish"]
def _str_(self):
return self.title
| [
"624040034@qq.com"
] | 624040034@qq.com |
eb7c616950b5af0ac046e3f4e20c015ceb71c733 | b1b77bb1ed47586f96d8f2554a65bcbd0c7162cc | /NETFLIX/NfWebCrypto/plugin/ppapi/ppapi/ppapi_ipc_untrusted.gyp | f1711feb5727c6987e611615c579f35dc1ca2e24 | [
"BSD-3-Clause",
"Apache-2.0"
] | permissive | DanHefrman/stuff | b3624d7089909972ee806211666374a261c02d08 | b98a5c80cfe7041d8908dcfd4230cf065c17f3f6 | refs/heads/master | 2023-07-10T09:47:04.780112 | 2021-08-13T09:55:17 | 2021-08-13T09:55:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,510 | gyp | # Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'variables': {
'chromium_code': 1,
},
'includes': [
'../native_client/build/untrusted.gypi',
'ppapi_ipc.gypi',
],
'conditions': [
['disable_nacl==0 and disable_nacl_untrusted==0', {
'targets': [
{
'target_name': 'ppapi_ipc_untrusted',
'type': 'none',
'variables': {
'ppapi_ipc_target': 1,
'nacl_win64_target': 0,
'nacl_untrusted_build': 1,
'nlib_target': 'libppapi_ipc_untrusted.a',
'build_glibc': 0,
'build_newlib': 1,
'defines': [
'NACL_PPAPI_IPC_PROXY',
# Enable threading for the untrusted side of the proxy.
# TODO(bbudge) remove when this is the default.
'ENABLE_PEPPER_THREADING',
],
},
'include_dirs': [
'..',
],
'dependencies': [
'../native_client/tools.gyp:prep_toolchain',
'../base/base_untrusted.gyp:base_untrusted',
'../gpu/gpu_untrusted.gyp:gpu_ipc_untrusted',
'../ipc/ipc_untrusted.gyp:ipc_untrusted',
'../ppapi/ppapi_shared_untrusted.gyp:ppapi_shared_untrusted',
'../components/components_tracing_untrusted.gyp:tracing_untrusted',
],
},
],
}],
],
}
| [
"bryan.guner@gmail.com"
] | bryan.guner@gmail.com |
0515d3547fc81361b6a0ce562a54675280caf442 | f4dcde4b7b91bf293d9f1f626ff2d609c29fbd79 | /common/configDB.py | 1cffde0d8724676b17179dc96b4add15aa6f93b5 | [] | no_license | hanzhichao/interfaceTest | ce182486336f276431f849e5b7b49978b22a37a2 | bc75261ed246e3b18433a98ab91700281dca45ca | refs/heads/master | 2020-03-08T02:17:52.004295 | 2018-04-03T05:28:26 | 2018-04-03T05:28:26 | 127,855,407 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,391 | py | """数据库操作"""
import pymysql
import sys
sys.path.append("..")
import readConfig as readConfig
from common.Log import MyLog as Log
localReadConfig = readConfig.ReadConfig()
class MyDB(object):
global host, username, password, port, database, readConfig
host = localReadConfig.get_db("host")
username = localReadConfig.get_db("username")
password = localReadConfig.get_db("password")
port = localReadConfig.get_db("port")
database = localReadConfig.get_db("database")
config = {
'host': str(host),
'user': username,
'passwd': password,
'db': database
}
def __init__(self):
self.log = Log.get_log()
self.logger = self.log.get_logger()
def connectDB(self):
try:
self.db = pymsql.connect(**config)
self.cursor = self.db.cursor()
print("连接数据库成功")
except ConnectionError as ex:
self.logger.error(str(ex))
def executeSQL(self, sql, params):
self.connectDB()
self.cursor = excute(sql, params)
self.db.commit()
return self.cursor
def get_all(sefl, cursor):
value = cursor.fetchall()
return value
def get_one(self, cursor):
value = cursor.fetchone()
return value
def closeDB(self):
self.db.close()
print("数据库关闭")
| [
"han_zhichao@sina.cn"
] | han_zhichao@sina.cn |
bdc0f69515b694afde031a265ab90f53cd14d3b0 | 44064ed79f173ddca96174913910c1610992b7cb | /Second_Processing_app/temboo/Library/USPS/DeliveryInformationAPI/TrackConfirmFields.py | b3eb3882fb518cf16065c175fb1206576e708c22 | [] | no_license | dattasaurabh82/Final_thesis | 440fb5e29ebc28dd64fe59ecd87f01494ed6d4e5 | 8edaea62f5987db026adfffb6b52b59b119f6375 | refs/heads/master | 2021-01-20T22:25:48.999100 | 2014-10-14T18:58:00 | 2014-10-14T18:58:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,238 | py | # -*- coding: utf-8 -*-
###############################################################################
#
# TrackConfirmFields
# Track a package sent via USPS and return tracking information with details in separate XML tags.
#
# Python version 2.6
#
###############################################################################
from temboo.core.choreography import Choreography
from temboo.core.choreography import InputSet
from temboo.core.choreography import ResultSet
from temboo.core.choreography import ChoreographyExecution
import json
class TrackConfirmFields(Choreography):
def __init__(self, temboo_session):
"""
Create a new instance of the TrackConfirmFields Choreo. A TembooSession object, containing a valid
set of Temboo credentials, must be supplied.
"""
Choreography.__init__(self, temboo_session, '/Library/USPS/DeliveryInformationAPI/TrackConfirmFields')
def new_input_set(self):
return TrackConfirmFieldsInputSet()
def _make_result_set(self, result, path):
return TrackConfirmFieldsResultSet(result, path)
def _make_execution(self, session, exec_id, path):
return TrackConfirmFieldsChoreographyExecution(session, exec_id, path)
class TrackConfirmFieldsInputSet(InputSet):
"""
An InputSet with methods appropriate for specifying the inputs to the TrackConfirmFields
Choreo. The InputSet object is used to specify input parameters when executing this Choreo.
"""
def set_Endpoint(self, value):
"""
Set the value of the Endpoint input for this Choreo. ((optional, string) If you are accessing the production server, set to 'production'. Defaults to 'testing' which indicates that you are using the sandbox.)
"""
InputSet._set_input(self, 'Endpoint', value)
def set_Password(self, value):
"""
Set the value of the Password input for this Choreo. ((required, password) The password assigned by USPS)
"""
InputSet._set_input(self, 'Password', value)
def set_TrackID(self, value):
"""
Set the value of the TrackID input for this Choreo. ((required, string) The tracking number. Can be alphanumeric characters.)
"""
InputSet._set_input(self, 'TrackID', value)
def set_UserId(self, value):
"""
Set the value of the UserId input for this Choreo. ((required, string) Alphanumeric ID assigned by USPS)
"""
InputSet._set_input(self, 'UserId', value)
class TrackConfirmFieldsResultSet(ResultSet):
"""
A ResultSet with methods tailored to the values returned by the TrackConfirmFields Choreo.
The ResultSet object is used to retrieve the results of a Choreo execution.
"""
def getJSONFromString(self, str):
return json.loads(str)
def get_Response(self):
"""
Retrieve the value for the "Response" output from this Choreo execution. ((xml) The response from USPS Web Service)
"""
return self._output.get('Response', None)
class TrackConfirmFieldsChoreographyExecution(ChoreographyExecution):
def _make_result_set(self, response, path):
return TrackConfirmFieldsResultSet(response, path)
| [
"dattasaurabh82@gmail.com"
] | dattasaurabh82@gmail.com |
017e7f2ed891206d9d845f61c7bdc5467026b6d5 | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_148/218.py | d6a472b10295e9b40fed81edb93442d25c164db7 | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 848 | py | import sys
def prework(argv):
'''do something according to argv,
return a message describing what have been done.'''
return "nothing"
def once():
'''to cope once'''
n, x = [int(_) for _ in input().split()]
ss = [int(_) for _ in input().split()]
ss.sort()
cnt = 0
while len(ss) > 1 :
big = ss.pop()
if ss[0] + big <= x :
ss.pop(0)
cnt += 1
if len(ss) > 0 :
cnt += 1
return cnt
def printerr(*v):
print(*v, file=sys.stderr)
def main():
TT = int(input())
for tt in range(1,TT+1):
printerr("coping Case %d.."%(tt))
ans = once()
print("Case #%d: %s"%(tt, (ans)))
if __name__ == '__main__' :
msg = prework(sys.argv)
print("prework down with", msg, file=sys.stderr)
main()
| [
"miliar1732@gmail.com"
] | miliar1732@gmail.com |
3231720c659ace7a738b91243cdd3c9dcfc2283a | acb8e84e3b9c987fcab341f799f41d5a5ec4d587 | /langs/6/p4c.py | 85276715e5d3795dbf4bcd582233ab98028579b1 | [] | no_license | G4te-Keep3r/HowdyHackers | 46bfad63eafe5ac515da363e1c75fa6f4b9bca32 | fb6d391aaecb60ab5c4650d4ae2ddd599fd85db2 | refs/heads/master | 2020-08-01T12:08:10.782018 | 2016-11-13T20:45:50 | 2016-11-13T20:45:50 | 73,624,224 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 486 | py | import sys
def printFunction(lineRemaining):
if lineRemaining[0] == '"' and lineRemaining[-1] == '"':
if len(lineRemaining) > 2:
#data to print
lineRemaining = lineRemaining[1:-1]
print ' '.join(lineRemaining)
else:
print
def main(fileName):
with open(fileName) as f:
for line in f:
data = line.split()
if data[0] == 'p4C':
printFunction(data[1:])
else:
print 'ERROR'
return
if __name__ == '__main__':
main(sys.argv[1]) | [
"juliettaylorswift@gmail.com"
] | juliettaylorswift@gmail.com |
f99b17b6e18c5be816cfc3a835d3e975bcc42435 | 85b402cd9e762b2749c978105ea362b10d335e5c | /219-unet_model_with_functions_of_blocks.py | 2fe553b815fa93ba3cdb1597aaf31e80f749f4f1 | [] | no_license | bnsreenu/python_for_microscopists | 29c08f17461baca95b5161fd4cd905be515605c4 | 4b8c0bd4274bc4d5e906a4952988c7f3e8db74c5 | refs/heads/master | 2023-09-04T21:11:25.524753 | 2023-08-24T18:40:53 | 2023-08-24T18:40:53 | 191,218,511 | 3,010 | 2,206 | null | 2023-07-25T07:15:22 | 2019-06-10T17:53:14 | Jupyter Notebook | UTF-8 | Python | false | false | 1,734 | py | # Building Unet by dividing encoder and decoder into blocks
from keras.models import Model
from keras.layers import Input, Conv2D, MaxPooling2D, UpSampling2D, concatenate, Conv2DTranspose, BatchNormalization, Dropout, Lambda
from keras.optimizers import Adam
from keras.layers import Activation, MaxPool2D, Concatenate
def conv_block(input, num_filters):
x = Conv2D(num_filters, 3, padding="same")(input)
x = BatchNormalization()(x) #Not in the original network.
x = Activation("relu")(x)
x = Conv2D(num_filters, 3, padding="same")(x)
x = BatchNormalization()(x) #Not in the original network
x = Activation("relu")(x)
return x
#Encoder block: Conv block followed by maxpooling
def encoder_block(input, num_filters):
x = conv_block(input, num_filters)
p = MaxPool2D((2, 2))(x)
return x, p
#Decoder block
#skip features gets input from encoder for concatenation
def decoder_block(input, skip_features, num_filters):
x = Conv2DTranspose(num_filters, (2, 2), strides=2, padding="same")(input)
x = Concatenate()([x, skip_features])
x = conv_block(x, num_filters)
return x
#Build Unet using the blocks
def build_unet(input_shape):
inputs = Input(input_shape)
s1, p1 = encoder_block(inputs, 64)
s2, p2 = encoder_block(p1, 128)
s3, p3 = encoder_block(p2, 256)
s4, p4 = encoder_block(p3, 512)
b1 = conv_block(p4, 1024) #Bridge
d1 = decoder_block(b1, s4, 512)
d2 = decoder_block(d1, s3, 256)
d3 = decoder_block(d2, s2, 128)
d4 = decoder_block(d3, s1, 64)
outputs = Conv2D(1, 1, padding="same", activation="sigmoid")(d4) #Binary (can be multiclass)
model = Model(inputs, outputs, name="U-Net")
return model
| [
"noreply@github.com"
] | bnsreenu.noreply@github.com |
0c281ae6304261a2e7ecb3ffae3479c22088a9b6 | d12b59b33df5c467abf081d48e043dac70cc5a9c | /ixnetwork_restpy/testplatform/sessions/ixnetwork/topology/ospfpseudointerface_f8951a0e4c7d97b10ce403458d4a9a66.py | e316b694921985962f4f1eb39cbe5286557d5a52 | [
"MIT"
] | permissive | ajbalogh/ixnetwork_restpy | 59ce20b88c1f99f95a980ff01106bda8f4ad5a0f | 60a107e84fd8c1a32e24500259738e11740069fd | refs/heads/master | 2023-04-02T22:01:51.088515 | 2021-04-09T18:39:28 | 2021-04-09T18:39:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 25,993 | py | # MIT LICENSE
#
# Copyright 1997 - 2020 by IXIA Keysight
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
class OspfPseudoInterface(Base):
"""Information for Simulated Router Interfaces
The OspfPseudoInterface class encapsulates a list of ospfPseudoInterface resources that are managed by the system.
A list of resources can be retrieved from the server using the OspfPseudoInterface.find() method.
"""
__slots__ = ()
_SDM_NAME = 'ospfPseudoInterface'
_SDM_ATT_MAP = {
'AdjSID': 'adjSID',
'AdministratorGroup': 'administratorGroup',
'BFlag': 'bFlag',
'BandwidthPriority0': 'bandwidthPriority0',
'BandwidthPriority1': 'bandwidthPriority1',
'BandwidthPriority2': 'bandwidthPriority2',
'BandwidthPriority3': 'bandwidthPriority3',
'BandwidthPriority4': 'bandwidthPriority4',
'BandwidthPriority5': 'bandwidthPriority5',
'BandwidthPriority6': 'bandwidthPriority6',
'BandwidthPriority7': 'bandwidthPriority7',
'Count': 'count',
'Dedicated1Plus1': 'dedicated1Plus1',
'Dedicated1To1': 'dedicated1To1',
'DescriptiveName': 'descriptiveName',
'EnLinkProtection': 'enLinkProtection',
'Enable': 'enable',
'EnableAdjSID': 'enableAdjSID',
'EnableSRLG': 'enableSRLG',
'Enhanced': 'enhanced',
'ExtraTraffic': 'extraTraffic',
'LFlag': 'lFlag',
'MaxBandwidth': 'maxBandwidth',
'MaxReservableBandwidth': 'maxReservableBandwidth',
'Metric': 'metric',
'MetricLevel': 'metricLevel',
'Name': 'name',
'PFlag': 'pFlag',
'Reserved40': 'reserved40',
'Reserved80': 'reserved80',
'SFlag': 'sFlag',
'Shared': 'shared',
'SrlgCount': 'srlgCount',
'Unprotected': 'unprotected',
'VFlag': 'vFlag',
'Weight': 'weight',
}
def __init__(self, parent):
super(OspfPseudoInterface, self).__init__(parent)
@property
def SrlgValueList(self):
"""
Returns
-------
- obj(ixnetwork_restpy.testplatform.sessions.ixnetwork.topology.srlgvaluelist_355b617a5f46ce90d800290d21158418.SrlgValueList): An instance of the SrlgValueList class
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
from ixnetwork_restpy.testplatform.sessions.ixnetwork.topology.srlgvaluelist_355b617a5f46ce90d800290d21158418 import SrlgValueList
return SrlgValueList(self)
@property
def AdjSID(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Adjacency SID
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['AdjSID']))
@property
def AdministratorGroup(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Administrator Group
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['AdministratorGroup']))
@property
def BFlag(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Backup Flag
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['BFlag']))
@property
def BandwidthPriority0(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Bandwidth for Priority 0 (B/sec)
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['BandwidthPriority0']))
@property
def BandwidthPriority1(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Bandwidth for Priority 1 (B/sec)
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['BandwidthPriority1']))
@property
def BandwidthPriority2(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Bandwidth for Priority 2 (B/sec)
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['BandwidthPriority2']))
@property
def BandwidthPriority3(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Bandwidth for Priority 3 (B/sec)
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['BandwidthPriority3']))
@property
def BandwidthPriority4(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Bandwidth for Priority 4 (B/sec)
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['BandwidthPriority4']))
@property
def BandwidthPriority5(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Bandwidth for Priority 5 (B/sec)
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['BandwidthPriority5']))
@property
def BandwidthPriority6(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Bandwidth for Priority 6 (B/sec)
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['BandwidthPriority6']))
@property
def BandwidthPriority7(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Bandwidth for Priority 7 (B/sec)
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['BandwidthPriority7']))
@property
def Count(self):
"""
Returns
-------
- number: Number of elements inside associated multiplier-scaled container object, e.g. number of devices inside a Device Group.
"""
return self._get_attribute(self._SDM_ATT_MAP['Count'])
@property
def Dedicated1Plus1(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): This is a Protection Scheme with value 0x10. It means that a dedicated disjoint link is protecting this link. However, the protecting link is not advertised in the link state database and is therefore not available for the routing of LSPs.
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Dedicated1Plus1']))
@property
def Dedicated1To1(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): This is a Protection Scheme with value 0x08. It means that there is one dedicated disjoint link of type Extra Traffic that is protecting this link.
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Dedicated1To1']))
@property
def DescriptiveName(self):
"""
Returns
-------
- str: Longer, more descriptive name for element. It's not guaranteed to be unique like -name-, but may offer more context.
"""
return self._get_attribute(self._SDM_ATT_MAP['DescriptiveName'])
@property
def EnLinkProtection(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): This enables the link protection on the OSPF link between two mentioned interfaces.
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['EnLinkProtection']))
@property
def Enable(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): TE Enabled
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Enable']))
@property
def EnableAdjSID(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Enable Adj SID
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['EnableAdjSID']))
@property
def EnableSRLG(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): This enables the SRLG on the OSPF link between two mentioned interfaces.
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['EnableSRLG']))
@property
def Enhanced(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): This is a Protection Scheme with value 0x20. It means that a protection scheme that is more reliable than Dedicated 1+1, e.g., 4 fiber BLSR/MS-SPRING, is being used to protect this link.
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Enhanced']))
@property
def ExtraTraffic(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): This is a Protection Scheme with value 0x01. It means that the link is protecting another link or links. The LSPs on a link of this type will be lost if any of the links it is protecting fail.
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['ExtraTraffic']))
@property
def LFlag(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Local/Global Flag
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['LFlag']))
@property
def MaxBandwidth(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Maximum Bandwidth (B/sec)
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['MaxBandwidth']))
@property
def MaxReservableBandwidth(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Maximum Reservable Bandwidth (B/sec)
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['MaxReservableBandwidth']))
@property
def Metric(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Link Metric
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Metric']))
@property
def MetricLevel(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): TE Metric Level
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['MetricLevel']))
@property
def Name(self):
"""
Returns
-------
- str: Name of NGPF element, guaranteed to be unique in Scenario
"""
return self._get_attribute(self._SDM_ATT_MAP['Name'])
@Name.setter
def Name(self, value):
self._set_attribute(self._SDM_ATT_MAP['Name'], value)
@property
def PFlag(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Persistent Flag
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['PFlag']))
@property
def Reserved40(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): This is a Protection Scheme with value 0x40.
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Reserved40']))
@property
def Reserved80(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): This is a Protection Scheme with value 0x80.
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Reserved80']))
@property
def SFlag(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Set/Group Flag
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['SFlag']))
@property
def Shared(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): This is a Protection Scheme with value 0x04. It means that there are one or more disjoint links of type Extra Traffic that are protecting this link. These Extra Traffic links are shared between one or more links of type Shared.
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Shared']))
@property
def SrlgCount(self):
"""
Returns
-------
- number: This field value shows how many SRLG Value columns would be there in the GUI.
"""
return self._get_attribute(self._SDM_ATT_MAP['SrlgCount'])
@SrlgCount.setter
def SrlgCount(self, value):
self._set_attribute(self._SDM_ATT_MAP['SrlgCount'], value)
@property
def Unprotected(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): This is a Protection Scheme with value 0x02. It means that there is no other link protecting this link. The LSPs on a link of this type will be lost if the link fails.
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Unprotected']))
@property
def VFlag(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Value/Index Flag
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['VFlag']))
@property
def Weight(self):
"""
Returns
-------
- obj(ixnetwork_restpy.multivalue.Multivalue): Weight
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Weight']))
def update(self, Name=None, SrlgCount=None):
"""Updates ospfPseudoInterface resource on the server.
This method has some named parameters with a type: obj (Multivalue).
The Multivalue class has documentation that details the possible values for those named parameters.
Args
----
- Name (str): Name of NGPF element, guaranteed to be unique in Scenario
- SrlgCount (number): This field value shows how many SRLG Value columns would be there in the GUI.
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
return self._update(self._map_locals(self._SDM_ATT_MAP, locals()))
def find(self, Count=None, DescriptiveName=None, Name=None, SrlgCount=None):
"""Finds and retrieves ospfPseudoInterface resources from the server.
All named parameters are evaluated on the server using regex. The named parameters can be used to selectively retrieve ospfPseudoInterface resources from the server.
To retrieve an exact match ensure the parameter value starts with ^ and ends with $
By default the find method takes no parameters and will retrieve all ospfPseudoInterface resources from the server.
Args
----
- Count (number): Number of elements inside associated multiplier-scaled container object, e.g. number of devices inside a Device Group.
- DescriptiveName (str): Longer, more descriptive name for element. It's not guaranteed to be unique like -name-, but may offer more context.
- Name (str): Name of NGPF element, guaranteed to be unique in Scenario
- SrlgCount (number): This field value shows how many SRLG Value columns would be there in the GUI.
Returns
-------
- self: This instance with matching ospfPseudoInterface resources retrieved from the server available through an iterator or index
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
return self._select(self._map_locals(self._SDM_ATT_MAP, locals()))
def read(self, href):
"""Retrieves a single instance of ospfPseudoInterface data from the server.
Args
----
- href (str): An href to the instance to be retrieved
Returns
-------
- self: This instance with the ospfPseudoInterface resources from the server available through an iterator or index
Raises
------
- NotFoundError: The requested resource does not exist on the server
- ServerError: The server has encountered an uncategorized error condition
"""
return self._read(href)
def get_device_ids(self, PortNames=None, AdjSID=None, AdministratorGroup=None, BFlag=None, BandwidthPriority0=None, BandwidthPriority1=None, BandwidthPriority2=None, BandwidthPriority3=None, BandwidthPriority4=None, BandwidthPriority5=None, BandwidthPriority6=None, BandwidthPriority7=None, Dedicated1Plus1=None, Dedicated1To1=None, EnLinkProtection=None, Enable=None, EnableAdjSID=None, EnableSRLG=None, Enhanced=None, ExtraTraffic=None, LFlag=None, MaxBandwidth=None, MaxReservableBandwidth=None, Metric=None, MetricLevel=None, PFlag=None, Reserved40=None, Reserved80=None, SFlag=None, Shared=None, Unprotected=None, VFlag=None, Weight=None):
"""Base class infrastructure that gets a list of ospfPseudoInterface device ids encapsulated by this object.
Use the optional regex parameters in the method to refine the list of device ids encapsulated by this object.
Args
----
- PortNames (str): optional regex of port names
- AdjSID (str): optional regex of adjSID
- AdministratorGroup (str): optional regex of administratorGroup
- BFlag (str): optional regex of bFlag
- BandwidthPriority0 (str): optional regex of bandwidthPriority0
- BandwidthPriority1 (str): optional regex of bandwidthPriority1
- BandwidthPriority2 (str): optional regex of bandwidthPriority2
- BandwidthPriority3 (str): optional regex of bandwidthPriority3
- BandwidthPriority4 (str): optional regex of bandwidthPriority4
- BandwidthPriority5 (str): optional regex of bandwidthPriority5
- BandwidthPriority6 (str): optional regex of bandwidthPriority6
- BandwidthPriority7 (str): optional regex of bandwidthPriority7
- Dedicated1Plus1 (str): optional regex of dedicated1Plus1
- Dedicated1To1 (str): optional regex of dedicated1To1
- EnLinkProtection (str): optional regex of enLinkProtection
- Enable (str): optional regex of enable
- EnableAdjSID (str): optional regex of enableAdjSID
- EnableSRLG (str): optional regex of enableSRLG
- Enhanced (str): optional regex of enhanced
- ExtraTraffic (str): optional regex of extraTraffic
- LFlag (str): optional regex of lFlag
- MaxBandwidth (str): optional regex of maxBandwidth
- MaxReservableBandwidth (str): optional regex of maxReservableBandwidth
- Metric (str): optional regex of metric
- MetricLevel (str): optional regex of metricLevel
- PFlag (str): optional regex of pFlag
- Reserved40 (str): optional regex of reserved40
- Reserved80 (str): optional regex of reserved80
- SFlag (str): optional regex of sFlag
- Shared (str): optional regex of shared
- Unprotected (str): optional regex of unprotected
- VFlag (str): optional regex of vFlag
- Weight (str): optional regex of weight
Returns
-------
- list(int): A list of device ids that meets the regex criteria provided in the method parameters
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
return self._get_ngpf_device_ids(locals())
def Abort(self):
"""Executes the abort operation on the server.
Abort CPF control plane (equals to demote to kUnconfigured state).
Raises
------
- NotFoundError: The requested resource does not exist on the server
- ServerError: The server has encountered an uncategorized error condition
"""
payload = { "Arg1": self }
return self._execute('abort', payload=payload, response_object=None)
def Disconnect(self, *args, **kwargs):
"""Executes the disconnect operation on the server.
Disconnect Simulated Interface
The IxNetwork model allows for multiple method Signatures with the same name while python does not.
disconnect(SessionIndices=list)
-------------------------------
- SessionIndices (list(number)): This parameter requires an array of session numbers 1 2 3
disconnect(SessionIndices=string)
---------------------------------
- SessionIndices (str): This parameter requires a string of session numbers 1-4;6;7-12
Raises
------
- NotFoundError: The requested resource does not exist on the server
- ServerError: The server has encountered an uncategorized error condition
"""
payload = { "Arg1": self }
for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i]
for item in kwargs.items(): payload[item[0]] = item[1]
return self._execute('disconnect', payload=payload, response_object=None)
def Reconnect(self, *args, **kwargs):
"""Executes the reconnect operation on the server.
Reconnect Simulated Interface
The IxNetwork model allows for multiple method Signatures with the same name while python does not.
reconnect(SessionIndices=list)
------------------------------
- SessionIndices (list(number)): This parameter requires an array of session numbers 1 2 3
reconnect(SessionIndices=string)
--------------------------------
- SessionIndices (str): This parameter requires a string of session numbers 1-4;6;7-12
Raises
------
- NotFoundError: The requested resource does not exist on the server
- ServerError: The server has encountered an uncategorized error condition
"""
payload = { "Arg1": self }
for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i]
for item in kwargs.items(): payload[item[0]] = item[1]
return self._execute('reconnect', payload=payload, response_object=None)
def Start(self):
"""Executes the start operation on the server.
Start CPF control plane (equals to promote to negotiated state).
Raises
------
- NotFoundError: The requested resource does not exist on the server
- ServerError: The server has encountered an uncategorized error condition
"""
payload = { "Arg1": self }
return self._execute('start', payload=payload, response_object=None)
def Stop(self):
"""Executes the stop operation on the server.
Stop CPF control plane (equals to demote to PreValidated-DoDDone state).
Raises
------
- NotFoundError: The requested resource does not exist on the server
- ServerError: The server has encountered an uncategorized error condition
"""
payload = { "Arg1": self }
return self._execute('stop', payload=payload, response_object=None)
| [
"andy.balogh@keysight.com"
] | andy.balogh@keysight.com |
697935f155a7bdd2c57c63062706724a1ee2d1c3 | c264153f9188d3af187905d846fa20296a0af85d | /Python/Python3网络爬虫开发实战/《Python3网络爬虫开发实战》随书源代码/scrapyseleniumtest/scrapyseleniumtest/items.py | 383caae92fceee363746119211b6714f0b0d361a | [] | no_license | IS-OSCAR-YU/ebooks | 5cd3c1089a221759793524df647e231a582b19ba | b125204c4fe69b9ca9ff774c7bc166d3cb2a875b | refs/heads/master | 2023-05-23T02:46:58.718636 | 2021-06-16T12:15:13 | 2021-06-16T12:15:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 389 | py | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
from scrapy import Item, Field
class ProductItem(Item):
collection = 'products'
image = Field()
price = Field()
deal = Field()
title = Field()
shop = Field()
location = Field()
| [
"jiangzhangha@163.com"
] | jiangzhangha@163.com |
60194a6d0d99911e72ce15440b1a894e43f1cb31 | c20a356220d3f66d49bbad88e6bd56a26aac1465 | /tf_test_4_4_2.py | 2c4f0eb10427a9ae2fd3635bea1995c04a5a6e4e | [] | no_license | liuwei881/tensorflow_example | 5f7164f94a3cec63b47c78764fd6a3023de3247e | 5bed141ee0c64f3e62d508a171ed735edbfbffff | refs/heads/master | 2020-06-12T04:27:02.016333 | 2019-05-30T09:58:05 | 2019-05-30T09:58:05 | 194,194,167 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,990 | py | # coding=utf-8
import tensorflow as tensorflow
def get_weight(shape, lambd):
# 生成一个变量
var = tf.Variable(tf.random_normal(shape), dtype=tf.float32)
# add_to_collection 函数将这个新生成变量的L2正则化损失项加入集合
# 这个函数的第一个参数'losses'是集合的名字, 第二个参数是要加入这个集合的内容
tf.add_to_collection(
'losses', tf.contrib.layers.l2_regularizer(lambd)(var))
return var
x = tf.placeholder(tf.float32, shape=(None, 2))
y_ = tf.placeholder(tf.float32, shape=(None, 1))
batch_size = 8
# 定义了每一层网络中节点的个数
layer_dimension = [2, 10, 10, 10, 1]
# 神经网络的层数
n_layers = len(layer_dimension)
# 这个变量维护前向传播时最深层的节点, 开始的时候就是输入层
cur_layer = x
# 当前层的节点个数
in_dimension = layer_dimension[0]
for i in range(1, n_layers):
# layer_dimension[i]为下一层节点个数
out_dimension = layer_dimension[i]
# 生成当前层中权重的变量, 并将这个变量的L2正则化损失加入计算图上的集合
weight = get_weight([in_dimension, out_dimension], 0.001)
bias = tf.Variable(tf.constant(0.1, shape=[out_dimension]))
# 使用ReLU激活函数
cur_layer = tf.nn.relu(tf.matmul(cur_layer, weight) + bias)
# 进入下一层之前将下一层的节点个数更新为当前层节点的个数
in_dimension = layer_dimension[i]
# 在定义神经网络前向传播的同时已经将所有的L2正则化损失加入了图上的集合,
# 这里只需要计算刻画模型在训练数据上表现的损失函数
mse_loss = tf.reduce_mean(tf.square(y_ - cur_layer))
# 将均方误差损失函数加入损失集合
tf.add_to_collection('losses', mse_loss)
# get_collection返回一个列表, 这个列表是所有这个集合中的元素. 在这个样例中,
# 这些元素就是损失函数的不同部分, 将它们加起来就可以得到最终的损失函数
loss = tf.add_n(tf.get_collection('losses'))
| [
"liuweia@mail.open.com.cn"
] | liuweia@mail.open.com.cn |
c5b4385fbf41eb155af8c374bb450da4b85d0662 | 98efe1aee73bd9fbec640132e6fb2e54ff444904 | /loldib/getratings/models/NA/na_nocturne/na_nocturne_mid.py | e6ba0b8402afbf89e98fd709a52024e8f59a786d | [
"Apache-2.0"
] | permissive | koliupy/loldib | be4a1702c26546d6ae1b4a14943a416f73171718 | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | refs/heads/master | 2021-07-04T03:34:43.615423 | 2017-09-21T15:44:10 | 2017-09-21T15:44:10 | 104,359,388 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,821 | py | from getratings.models.ratings import Ratings
class NA_Nocturne_Mid_Aatrox(Ratings):
pass
class NA_Nocturne_Mid_Ahri(Ratings):
pass
class NA_Nocturne_Mid_Akali(Ratings):
pass
class NA_Nocturne_Mid_Alistar(Ratings):
pass
class NA_Nocturne_Mid_Amumu(Ratings):
pass
class NA_Nocturne_Mid_Anivia(Ratings):
pass
class NA_Nocturne_Mid_Annie(Ratings):
pass
class NA_Nocturne_Mid_Ashe(Ratings):
pass
class NA_Nocturne_Mid_AurelionSol(Ratings):
pass
class NA_Nocturne_Mid_Azir(Ratings):
pass
class NA_Nocturne_Mid_Bard(Ratings):
pass
class NA_Nocturne_Mid_Blitzcrank(Ratings):
pass
class NA_Nocturne_Mid_Brand(Ratings):
pass
class NA_Nocturne_Mid_Braum(Ratings):
pass
class NA_Nocturne_Mid_Caitlyn(Ratings):
pass
class NA_Nocturne_Mid_Camille(Ratings):
pass
class NA_Nocturne_Mid_Cassiopeia(Ratings):
pass
class NA_Nocturne_Mid_Chogath(Ratings):
pass
class NA_Nocturne_Mid_Corki(Ratings):
pass
class NA_Nocturne_Mid_Darius(Ratings):
pass
class NA_Nocturne_Mid_Diana(Ratings):
pass
class NA_Nocturne_Mid_Draven(Ratings):
pass
class NA_Nocturne_Mid_DrMundo(Ratings):
pass
class NA_Nocturne_Mid_Ekko(Ratings):
pass
class NA_Nocturne_Mid_Elise(Ratings):
pass
class NA_Nocturne_Mid_Evelynn(Ratings):
pass
class NA_Nocturne_Mid_Ezreal(Ratings):
pass
class NA_Nocturne_Mid_Fiddlesticks(Ratings):
pass
class NA_Nocturne_Mid_Fiora(Ratings):
pass
class NA_Nocturne_Mid_Fizz(Ratings):
pass
class NA_Nocturne_Mid_Galio(Ratings):
pass
class NA_Nocturne_Mid_Gangplank(Ratings):
pass
class NA_Nocturne_Mid_Garen(Ratings):
pass
class NA_Nocturne_Mid_Gnar(Ratings):
pass
class NA_Nocturne_Mid_Gragas(Ratings):
pass
class NA_Nocturne_Mid_Graves(Ratings):
pass
class NA_Nocturne_Mid_Hecarim(Ratings):
pass
class NA_Nocturne_Mid_Heimerdinger(Ratings):
pass
class NA_Nocturne_Mid_Illaoi(Ratings):
pass
class NA_Nocturne_Mid_Irelia(Ratings):
pass
class NA_Nocturne_Mid_Ivern(Ratings):
pass
class NA_Nocturne_Mid_Janna(Ratings):
pass
class NA_Nocturne_Mid_JarvanIV(Ratings):
pass
class NA_Nocturne_Mid_Jax(Ratings):
pass
class NA_Nocturne_Mid_Jayce(Ratings):
pass
class NA_Nocturne_Mid_Jhin(Ratings):
pass
class NA_Nocturne_Mid_Jinx(Ratings):
pass
class NA_Nocturne_Mid_Kalista(Ratings):
pass
class NA_Nocturne_Mid_Karma(Ratings):
pass
class NA_Nocturne_Mid_Karthus(Ratings):
pass
class NA_Nocturne_Mid_Kassadin(Ratings):
pass
class NA_Nocturne_Mid_Katarina(Ratings):
pass
class NA_Nocturne_Mid_Kayle(Ratings):
pass
class NA_Nocturne_Mid_Kayn(Ratings):
pass
class NA_Nocturne_Mid_Kennen(Ratings):
pass
class NA_Nocturne_Mid_Khazix(Ratings):
pass
class NA_Nocturne_Mid_Kindred(Ratings):
pass
class NA_Nocturne_Mid_Kled(Ratings):
pass
class NA_Nocturne_Mid_KogMaw(Ratings):
pass
class NA_Nocturne_Mid_Leblanc(Ratings):
pass
class NA_Nocturne_Mid_LeeSin(Ratings):
pass
class NA_Nocturne_Mid_Leona(Ratings):
pass
class NA_Nocturne_Mid_Lissandra(Ratings):
pass
class NA_Nocturne_Mid_Lucian(Ratings):
pass
class NA_Nocturne_Mid_Lulu(Ratings):
pass
class NA_Nocturne_Mid_Lux(Ratings):
pass
class NA_Nocturne_Mid_Malphite(Ratings):
pass
class NA_Nocturne_Mid_Malzahar(Ratings):
pass
class NA_Nocturne_Mid_Maokai(Ratings):
pass
class NA_Nocturne_Mid_MasterYi(Ratings):
pass
class NA_Nocturne_Mid_MissFortune(Ratings):
pass
class NA_Nocturne_Mid_MonkeyKing(Ratings):
pass
class NA_Nocturne_Mid_Mordekaiser(Ratings):
pass
class NA_Nocturne_Mid_Morgana(Ratings):
pass
class NA_Nocturne_Mid_Nami(Ratings):
pass
class NA_Nocturne_Mid_Nasus(Ratings):
pass
class NA_Nocturne_Mid_Nautilus(Ratings):
pass
class NA_Nocturne_Mid_Nidalee(Ratings):
pass
class NA_Nocturne_Mid_Nocturne(Ratings):
pass
class NA_Nocturne_Mid_Nunu(Ratings):
pass
class NA_Nocturne_Mid_Olaf(Ratings):
pass
class NA_Nocturne_Mid_Orianna(Ratings):
pass
class NA_Nocturne_Mid_Ornn(Ratings):
pass
class NA_Nocturne_Mid_Pantheon(Ratings):
pass
class NA_Nocturne_Mid_Poppy(Ratings):
pass
class NA_Nocturne_Mid_Quinn(Ratings):
pass
class NA_Nocturne_Mid_Rakan(Ratings):
pass
class NA_Nocturne_Mid_Rammus(Ratings):
pass
class NA_Nocturne_Mid_RekSai(Ratings):
pass
class NA_Nocturne_Mid_Renekton(Ratings):
pass
class NA_Nocturne_Mid_Rengar(Ratings):
pass
class NA_Nocturne_Mid_Riven(Ratings):
pass
class NA_Nocturne_Mid_Rumble(Ratings):
pass
class NA_Nocturne_Mid_Ryze(Ratings):
pass
class NA_Nocturne_Mid_Sejuani(Ratings):
pass
class NA_Nocturne_Mid_Shaco(Ratings):
pass
class NA_Nocturne_Mid_Shen(Ratings):
pass
class NA_Nocturne_Mid_Shyvana(Ratings):
pass
class NA_Nocturne_Mid_Singed(Ratings):
pass
class NA_Nocturne_Mid_Sion(Ratings):
pass
class NA_Nocturne_Mid_Sivir(Ratings):
pass
class NA_Nocturne_Mid_Skarner(Ratings):
pass
class NA_Nocturne_Mid_Sona(Ratings):
pass
class NA_Nocturne_Mid_Soraka(Ratings):
pass
class NA_Nocturne_Mid_Swain(Ratings):
pass
class NA_Nocturne_Mid_Syndra(Ratings):
pass
class NA_Nocturne_Mid_TahmKench(Ratings):
pass
class NA_Nocturne_Mid_Taliyah(Ratings):
pass
class NA_Nocturne_Mid_Talon(Ratings):
pass
class NA_Nocturne_Mid_Taric(Ratings):
pass
class NA_Nocturne_Mid_Teemo(Ratings):
pass
class NA_Nocturne_Mid_Thresh(Ratings):
pass
class NA_Nocturne_Mid_Tristana(Ratings):
pass
class NA_Nocturne_Mid_Trundle(Ratings):
pass
class NA_Nocturne_Mid_Tryndamere(Ratings):
pass
class NA_Nocturne_Mid_TwistedFate(Ratings):
pass
class NA_Nocturne_Mid_Twitch(Ratings):
pass
class NA_Nocturne_Mid_Udyr(Ratings):
pass
class NA_Nocturne_Mid_Urgot(Ratings):
pass
class NA_Nocturne_Mid_Varus(Ratings):
pass
class NA_Nocturne_Mid_Vayne(Ratings):
pass
class NA_Nocturne_Mid_Veigar(Ratings):
pass
class NA_Nocturne_Mid_Velkoz(Ratings):
pass
class NA_Nocturne_Mid_Vi(Ratings):
pass
class NA_Nocturne_Mid_Viktor(Ratings):
pass
class NA_Nocturne_Mid_Vladimir(Ratings):
pass
class NA_Nocturne_Mid_Volibear(Ratings):
pass
class NA_Nocturne_Mid_Warwick(Ratings):
pass
class NA_Nocturne_Mid_Xayah(Ratings):
pass
class NA_Nocturne_Mid_Xerath(Ratings):
pass
class NA_Nocturne_Mid_XinZhao(Ratings):
pass
class NA_Nocturne_Mid_Yasuo(Ratings):
pass
class NA_Nocturne_Mid_Yorick(Ratings):
pass
class NA_Nocturne_Mid_Zac(Ratings):
pass
class NA_Nocturne_Mid_Zed(Ratings):
pass
class NA_Nocturne_Mid_Ziggs(Ratings):
pass
class NA_Nocturne_Mid_Zilean(Ratings):
pass
class NA_Nocturne_Mid_Zyra(Ratings):
pass
| [
"noreply@github.com"
] | koliupy.noreply@github.com |
820d18976ceb036fc4e268a237ec43a25998aa45 | f5f771cd8600c2aeb7fc9b192d9084ec5fdf3616 | /lux/extensions/rest/user.py | 8c79233356ca1acf51458387f80667140e8413dc | [
"BSD-3-Clause"
] | permissive | SirZazu/lux | 75fe9fde4ddaee1c9c17e55c6e6d07a289ea2f5b | d647c34d11d1172d40e16b6afaba4ee67950fb5a | refs/heads/master | 2021-01-21T19:40:46.536485 | 2015-06-02T16:30:18 | 2015-06-02T16:30:18 | 36,931,033 | 0 | 3 | null | 2015-10-09T14:08:26 | 2015-06-05T12:15:21 | Python | UTF-8 | Python | false | false | 4,779 | py | import time
from importlib import import_module
from datetime import datetime, timedelta
from pulsar import PermissionDenied, Http404
from pulsar.utils.pep import to_bytes, to_string
import lux
from lux.utils.crypt import get_random_string, digest
__all__ = ['AuthenticationError', 'LoginError', 'LogoutError',
'MessageMixin', 'UserMixin', 'normalise_email', 'PasswordMixin',
'Anonymous', 'CREATE', 'READ', 'UPDATE', 'DELETE']
UNUSABLE_PASSWORD = '!'
CREATE = 30 # C
READ = 10 # R
UPDATE = 20 # U
DELETE = 40 # D
class AuthenticationError(ValueError):
pass
class LoginError(RuntimeError):
pass
class LogoutError(RuntimeError):
pass
class MessageMixin(object):
'''Mixin for models which support messages
'''
def success(self, message):
'''Store a ``success`` message to show to the web user
'''
self.message('success', message)
def info(self, message):
'''Store an ``info`` message to show to the web user
'''
self.message('info', message)
def warning(self, message):
'''Store a ``warning`` message to show to the web user
'''
self.message('warning', message)
def error(self, message):
'''Store an ``error`` message to show to the web user
'''
self.message('danger', message)
def message(self, level, message):
'''Store a ``message`` of ``level`` to show to the web user.
Must be implemented by session classes.
'''
raise NotImplementedError
def remove_message(self, data):
'''Remove a message from the list of messages'''
raise NotImplementedError
def get_messages(self):
'''Retrieve messages
'''
return ()
class UserMixin(MessageMixin):
'''Mixin for a User model
'''
email = None
def is_superuser(self):
return False
def is_authenticated(self):
'''Return ``True`` if the user is is_authenticated
'''
return True
def is_active(self):
return False
def is_anonymous(self):
return False
def get_id(self):
raise NotImplementedError
def get_oauths(self):
'''Return a dictionary of oauths account'''
return {}
def set_oauth(self, name, data):
raise NotImplementedError
def remove_oauth(self, name):
'''Remove a connected oauth account.
Return ``True`` if successfully removed
'''
raise NotImplementedError
def todict(self):
'''Return a dictionary with information about the user'''
def email_user(self, app, subject, body, sender=None):
backend = app.email_backend
backend.send_mail(app, sender, self.email, subject, body)
@classmethod
def get_by_username(cls, username):
'''Retrieve a user from username
'''
raise NotImplementedError
@classmethod
def get_by_email(cls, email):
raise NotImplementedError
@classmethod
def get_by_oauth(cls, name, identifier):
'''Retrieve a user from OAuth ``name`` with ``identifier``
'''
raise NotImplementedError
class Anonymous(UserMixin):
def is_authenticated(self):
return False
def is_anonymous(self):
return True
def get_id(self):
return 0
class PasswordMixin:
def on_config(self, app):
cfg = app.config
self.encoding = cfg['ENCODING']
self.secret_key = cfg['SECRET_KEY'].encode()
self.salt_size = cfg['AUTH_SALT_SIZE']
algorithm = cfg['CRYPT_ALGORITHM']
self.crypt_module = import_module(algorithm)
def decript(self, password=None):
if password:
p = self.crypt_module.decrypt(to_bytes(password, self.encoding),
self.secret_key)
return to_string(p, self.encoding)
else:
return UNUSABLE_PASSWORD
def encript(self, password):
p = self.crypt_module.encrypt(to_bytes(password, self.encoding),
self.secret_key, self.salt_size)
return to_string(p, self.encoding)
def password(self, raw_password=None):
if raw_password:
return self.encript(raw_password)
else:
return UNUSABLE_PASSWORD
def set_password(self, user, password):
'''Set the password for ``user``.
This method should commit changes.'''
pass
def normalise_email(email):
"""
Normalise the address by lowercasing the domain part of the email
address.
"""
email_name, domain_part = email.strip().rsplit('@', 1)
email = '@'.join([email_name, domain_part.lower()])
return email
| [
"luca.sbardella@gmail.com"
] | luca.sbardella@gmail.com |
73e35aa72ced86eef9739609dfcb0a5cc7ba54f9 | 290394852b7fb70f791c6c4bb96141523ab96090 | /ExpertIdeas_WikipediaProxyServer_Bot_EmailTracking/ExpertIdeas/core/scripts/blockreview.py | 5d76775fa0189a1c5c2a336beb4f5c6c4e06d997 | [
"MIT"
] | permissive | ImanYZ/ExpertIdeas | da1564671f2cfe92d9de3fce68b82552cc6f33f7 | 23e23240854aef59108b16b63a567fffb2aabb69 | refs/heads/master | 2022-07-27T08:11:36.481824 | 2022-07-16T20:32:47 | 2022-07-16T20:32:47 | 144,018,052 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,664 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
This bot implements a blocking review process for de-wiki first.
For other sites this bot script must be changed.
This script is run by [[de:User:xqt]]. It should
not be run by other users without prior contact.
The following parameters are supported:
-
All other parameters will be regarded as part of the title of a single page,
and the bot will only work on that single page.
"""
#
# (C) xqt, 2010-2014
#
# Distributed under the terms of the MIT license.
#
__version__ = '$Id: 6dac7b1808d40f970371ef2b12e548fb5986bca4 $'
#
import pywikibot
from pywikibot.compat import query
class BlockreviewBot:
# notes
note_admin = {
'de': u"""
== Sperrprüfungswunsch ==
Hallo %(admin)s,
[[%(user)s]] wünscht die Prüfung seiner/ihrer Sperre vom %(time)s über die Dauer von %(duration)s. Kommentar war ''%(comment)s''. Bitte äußere Dich dazu auf der [[%(usertalk)s#%(section)s|Diskussionsseite]]. -~~~~"""
}
note_project = {
'de': u"""
== [[%(user)s]] ==
* gesperrt am %(time)s durch {{Benutzer|%(admin)s}} für eine Dauer von %(duration)s.
* Kommentar war ''%(comment)s''.
* [[Benutzer:%(admin)s]] wurde [[Benutzer Diskussion:%(admin)s#Sperrprüfungswunsch|benachrichtigt]].
* [[%(usertalk)s#%(section)s|Link zur Diskussion]]
:<small>-~~~~</small>
;Antrag entgegengenommen"""
}
# edit summaries
msg_admin = {
'de': u'Bot-Benachrichtigung: Sperrprüfungswunsch von [[%(user)s]]',
}
msg_user = {
'de': u'Bot: Administrator [[Benutzer:%(admin)s|%(admin)s]] für Sperrprüfung benachrichtigt',
}
msg_done = {
'de': u'Bot: Sperrprüfung abgeschlossen. Benutzer ist entsperrt.',
}
unblock_tpl = {
'de': u'Benutzer:TAXman/Sperrprüfungsverfahren',
'pt': u'Predefinição:Discussão de bloqueio',
}
review_cat = {
'de': u'Wikipedia:Sperrprüfung',
}
project_name = {
'de': u'Benutzer:TAXman/Sperrprüfung Neu',
'pt': u'Wikipedia:Pedidos a administradores/Discussão de bloqueio',
}
def __init__(self, dry=False):
"""
Constructor. Parameters:
* generator - The page generator that determines on which pages
to work on.
* dry - If True, doesn't do any real changes, but only shows
what would have been changed.
"""
self.site = pywikibot.Site()
self.dry = dry
self.info = None
self.parts = None
def run(self):
# TODO: change the generator for template to the included category
try:
genPage = pywikibot.Page(self.site,
self.unblock_tpl[self.site.code],
defaultNamespace=10)
except KeyError:
pywikibot.error(u'Language "%s" not supported by this bot.'
% self.site.code)
else:
for page in genPage.getReferences(follow_redirects=False,
withTemplateInclusion=True,
onlyTemplateInclusion=True):
if page.namespace() == 3:
self.treat(page)
else:
pywikibot.output(u'Ignoring %s, user namespace required'
% page.title(asLink=True))
def treat(self, userPage):
"""
Loads the given page, does some changes, and saves it.
"""
talkText = self.load(userPage)
if not talkText:
# sanity check. No talk page found.
return
unblock_tpl = self.unblock_tpl[self.site.code]
project_name = self.project_name[self.site.code]
user = pywikibot.User(self.site, userPage.title(withNamespace=False))
# saveAdmin = saveProject = False
talkComment = None
for templates in userPage.templatesWithParams():
if templates[0] == unblock_tpl:
self.getInfo(user)
# Step 1
# a new template is set on blocked users talk page.
# Notify the blocking admin
if templates[1] == [] or templates[1][0] == u'1':
if self.info['action'] == 'block' or user.isBlocked():
if self.site.sitename() == 'wikipedia:de':
admin = pywikibot.User(self.site, self.info['user'])
adminPage = admin.getUserTalkPage()
adminText = adminPage.get()
note = i18n.translate(self.site.code,
self.note_admin,
self.parts)
comment = i18n.translate(self.site.code,
self.msg_admin,
self.parts)
adminText += note
self.save(adminText, adminPage, comment, False)
### test for pt-wiki
### just print all sysops talk pages
elif self.site.sitename() == 'wikipedia:pt':
from pywikibot import pagegenerators as pg
gen = pg.PreloadingGenerator(self.SysopGenerator())
for sysop in gen:
print sysop.title()
talkText = talkText.replace(u'{{%s}}' % unblock_tpl,
u'{{%s|2}}' % unblock_tpl)
talkText = talkText.replace(u'{{%s|1}}' % unblock_tpl,
u'{{%s|2}}' % unblock_tpl)
talkComment = i18n.translate(self.site.code,
self.msg_user
% self.parts)
# some test stuff
if pywikibot.logger.isEnabledFor(pywikibot.DEBUG) \
and self.site().loggedInAs() == u'Xqbot:':
testPage = pywikibot.Page(self.site,
'Benutzer:Xqt/Test')
test = testPage.get()
test += note
self.save(test, testPage,
'[[WP:BA#SPP-Bot|SPPB-Test]]')
else:
# nicht blockiert. Fall auf DS abschließen
talkText = talkText.replace(u'{{%s}}' % unblock_tpl,
u'{{%s|4}}' % unblock_tpl)
talkText = talkText.replace(u'{{%s|1}}' % unblock_tpl,
u'{{%s|4}}' % unblock_tpl)
talkComment = i18n.translate(self.site.code,
self.msg_done)
# Step 2
# Admin has been notified.
# Wait for 2 hours, than put a message to the project page
elif templates[1][0] == u'2':
if self.info['action'] == 'block' or user.isBlocked():
# TODO: check whether wait time is gone
# check whether this entry already esists
project = pywikibot.Page(self.site, project_name)
projText = project.get()
note = i18n.translate(self.site.code,
self.note_project,
self.parts)
comment = i18n.translate(self.site.code,
self.msg_admin,
self.parts)
projText += note
self.save(projText, project, comment, botflag=False)
talkText = talkText.replace(u'{{%s|2}}' % unblock_tpl,
u'{{%s|3}}' % unblock_tpl)
talkComment = u'Bot: [[%s|Wikipedia:Sperrprüfung]] eingetragen' \
% project_name
else:
# User is unblocked. Review can be closed
talkText = talkText.replace(u'{{%s|2}}' % unblock_tpl,
u'{{%s|4}}' % unblock_tpl)
talkComment = i18n.translate(self.site.code,
self.msg_done)
# Step 3
# Admin is notified, central project page has a message
# Discussion is going on
# Check whether it can be closed
elif templates[1][0] == u'3':
if self.info['action'] == 'block' or user.isBlocked():
pass
else:
# User is unblocked. Review can be closed
talkText = talkText.replace(u'{{%s|3}}' % unblock_tpl,
u'{{%s|4}}' % unblock_tpl)
talkComment = i18n.translate(self.site.code,
self.msg_done)
# Step 4
# Review is closed
elif templates[1][0] == u'4':
# nothing left to do
pass
else:
# wrong template found
pass
# at last if there is a talk comment, users talk page must be changed
if talkComment:
self.save(talkText, userPage, talkComment)
def getInfo(self, user):
if not self.info:
self.info = self.site.logpages(1, mode='block',
title=user.getUserPage().title(),
dump=True).next()
self.parts = {
'admin': self.info['user'],
'user': self.info['title'],
'usertalk': user.getUserTalkPage().title(),
'section': u'Sperrprüfung',
'time': self.info['timestamp'],
'duration': self.info['block']['duration'],
'comment': self.info['comment'],
}
def SysopGenerator(self):
params = {
'action': 'query',
'list': 'allusers',
'augroup': 'sysop',
'auprop': 'groups',
'aulimit': 500,
}
data = query.GetData(params, self.site)
for user in data['query']['allusers']:
# exclude sysop bots
if 'bot' not in user['groups']:
# yield the sysop talkpage
yield pywikibot.Page(self.site, user['name'],
defaultNamespace=3)
def load(self, page):
"""
Loads the given page, does some changes, and saves it.
"""
try:
# Load the page
text = page.get()
except pywikibot.NoPage:
pywikibot.output(u"Page %s does not exist; skipping."
% page.title(asLink=True))
except pywikibot.IsRedirectPage:
pywikibot.output(u"Page %s is a redirect; skipping."
% page.title(asLink=True))
else:
return text
def save(self, text, page, comment, minorEdit=True, botflag=True):
if text != page.text:
# Show the title of the page we're working on.
# Highlight the title in purple.
pywikibot.output(u"\n\n>>> \03{lightpurple}%s\03{default} <<<"
% page.title())
# show what was changed
pywikibot.showDiff(page.get(), text)
pywikibot.output(u'Comment: %s' % comment)
if not self.dry:
choice = pywikibot.inputChoice(
u'Do you want to accept these changes?',
['Yes', 'No'], ['y', 'N'], 'N')
if choice == 'y':
page.text = text
try:
# Save the page
page.save(comment=comment, minorEdit=minorEdit,
botflag=botflag)
except pywikibot.LockedPage:
pywikibot.output(u"Page %s is locked; skipping."
% page.title(asLink=True))
except pywikibot.EditConflict:
pywikibot.output(
u'Skipping %s because of edit conflict'
% (page.title()))
except pywikibot.SpamfilterError, error:
pywikibot.output(
u'Cannot change %s because of spam blacklist entry '
u'%s' % (page.title(), error.url))
else:
return True
def main():
show = False
# Parse command line arguments
for arg in pywikibot.handleArgs():
show = True
if not show:
bot = BlockreviewBot()
bot.run()
else:
pywikibot.showHelp()
if __name__ == "__main__":
main()
| [
"oneweb@umich.edu"
] | oneweb@umich.edu |
7b9ed189a2e8a042b0c9614fde530a77d4c760df | 897d3299ef2eb9747ed21b9857b3c5dfda841f97 | /cnns/graphs/distortion_graph/distortion2.py | 6514b5b161779ddc90b89a85fcc4f0f9c3ebc379 | [
"Apache-2.0"
] | permissive | stjordanis/bandlimited-cnns | 59a286cdae16fb07d4418ac2008c34f7849c35da | e2b20efd391a971e128d62acc1801c81dc1bf4d7 | refs/heads/master | 2020-07-03T07:01:17.732061 | 2019-08-07T23:33:40 | 2019-08-07T23:33:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,469 | py | import matplotlib
# matplotlib.use('TkAgg')
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
import matplotlib.pyplot as plt
import csv
import os
print(matplotlib.get_backend())
# plt.interactive(True)
# http://ksrowell.com/blog-visualizing-data/2012/02/02/optimal-colors-for-graphs/
MY_BLUE = (56, 106, 177)
MY_RED = (204, 37, 41)
MY_ORANGE = (218, 124, 48)
MY_GREEN = (62, 150, 81)
MY_BLACK = (83, 81, 84)
MY_GOLD = (148, 139, 61)
def get_color(COLOR_TUPLE_255):
return [x / 255 for x in COLOR_TUPLE_255]
# fontsize=20
fontsize = 30
legend_size = 22
title_size = 30
font = {'size': fontsize}
matplotlib.rc('font', **font)
dir_path = os.path.dirname(os.path.realpath(__file__))
print("dir path: ", dir_path)
GPU_MEM_SIZE = 16280
def read_columns(dataset, columns=5):
file_name = dir_path + "/" + dataset + ".csv"
with open(file_name) as csvfile:
data = csv.reader(csvfile, delimiter=",", quotechar='|')
cols = []
for column in range(columns):
cols.append([])
for i, row in enumerate(data):
if i > 0: # skip header
for column in range(columns):
try:
cols[column].append(float(row[column]))
except ValueError as ex:
print("Exception: ", ex)
return cols
ylabel = "ylabel"
title = "title"
legend_pos = "center_pos"
bbox = "bbox"
file_name = "file_name"
column_nr = "column_nr"
labels = "labels"
legend_cols = "legend_cols"
xlim = "xlim"
ylim = "ylim"
carlini_cifar10 = {ylabel: "Accuracy (%)",
file_name: "distortionCarliniCifar",
title: "C&W L$_2$ CIFAR-10",
legend_pos: "upper right",
# bbox: (0.0, 0.0),
column_nr: 12,
legend_cols: 2,
labels: ['FC', 'CD', 'Unif', 'Gauss', 'Laplace', 'SVD'],
xlim: (0, 12),
ylim: (0, 100)}
carlini_imagenet = {ylabel: "Accuracy (%)",
file_name: "distortionCarliniImageNet",
title: "C&W L$_2$ ImageNet",
# legend_pos: "lower left",
legend_pos: "upper right",
# bbox: (0.0, 0.0),
column_nr: 12,
legend_cols: 2,
labels: ['FC', 'CD', 'Unif', 'Gauss', 'Laplace', 'SVD'],
xlim: (0, 100),
ylim: (0, 100)}
pgd_cifar10 = {ylabel: "Accuracy (%)",
file_name: "distortionPGDCifar",
title: "PGD L$_{\infty}$ CIFAR-10",
# legend_pos: "lower left",
legend_pos: "upper right",
# bbox: (0.0, 0.0),
column_nr: 12,
legend_cols: 2,
labels: ['FC', 'CD', 'Unif', 'Gauss', 'Laplace', 'SVD'],
xlim: (0, 12),
ylim: (0, 100)}
random_pgd_cifar10 = {ylabel: "Accuracy (%)",
file_name: "distortionRandomPGDCifar",
title: "PGD (random start) L$_{\infty}$ CIFAR-10",
# legend_pos: "lower left",
legend_pos: "upper right",
# bbox: (0.0, 0.0),
column_nr: 12,
legend_cols: 2,
labels: ['FC', 'CD', 'Unif', 'Gauss', 'Laplace', 'SVD'],
xlim: (0, 12),
ylim: (0, 100)}
pgd_imagenet = {ylabel: "Accuracy (%)",
file_name: "distortionPGDImageNet",
title: "PGD L$_{\infty}$ ImageNet",
# legend_pos: "lower left",
legend_pos: "upper right",
# bbox: (0.0, 0.0),
column_nr: 12,
legend_cols: 2,
labels: ['FC', 'CD', 'Unif', 'Gauss', 'Laplace', 'SVD'],
xlim: (0, 100),
ylim: (0, 100)}
fgsm_imagenet = {ylabel: "Accuracy (%)",
file_name: "distortionFGSMImageNet2",
title: "FGSM L$_{\infty}$ ImageNet",
# legend_pos: "lower left",
legend_pos: "upper right",
# bbox: (0.0, 0.0),
column_nr: 12,
legend_cols: 2,
labels: ['FC', 'CD', 'Unif', 'Gauss', 'Laplace', 'SVD'],
xlim: (0, 100),
ylim: (0, 100)}
colors = [get_color(color) for color in
[MY_GREEN, MY_BLUE, MY_ORANGE, MY_RED, MY_BLACK, MY_GOLD]]
markers = ["+", "o", "v", "s", "D", "^", "+"]
linestyles = [":", "-", "--", ":", "-", "--", ":", "-"]
datasets = [carlini_cifar10,
carlini_imagenet,
# pgd_cifar10,
random_pgd_cifar10,
pgd_imagenet,
fgsm_imagenet]
# width = 12
# height = 5
# lw = 3
fig_size = 10
width = 10
height = 10
line_width = 4
layout = "horizontal" # "horizontal" or "vertical"
fig = plt.figure(figsize=(len(datasets) * width, height))
for j, dataset in enumerate(datasets):
if layout == "vertical":
plt.subplot(len(datasets), 1, j + 1)
else:
plt.subplot(1, len(datasets), j + 1)
print("dataset: ", dataset)
columns = dataset[column_nr]
cols = read_columns(dataset[file_name], columns=columns)
print("col 0: ", cols[0])
print("col 1: ", cols[1])
for col in range(0, columns, 2):
if col == 8: # skip Laplace
continue
i = col // 2
plt.plot(cols[col], cols[col + 1], label=f"{dataset[labels][i]}",
lw=line_width,
color=colors[i], linestyle=linestyles[i])
plt.grid()
plt.legend(loc=dataset[legend_pos], ncol=dataset[legend_cols],
frameon=False,
prop={'size': legend_size},
# bbox_to_anchor=dataset[bbox]
)
plt.xlabel('L2 distortion')
plt.title(dataset[title], fontsize=title_size)
if j == 0:
plt.ylabel(dataset[ylabel])
plt.ylim(dataset[ylim])
plt.xlim(dataset[xlim])
# plt.gcf().autofmt_xdate()
# plt.xticks(rotation=0)
# plt.interactive(False)
# plt.imshow()
plt.subplots_adjust(hspace=0.3)
format = "pdf" # "pdf" or "png"
destination = dir_path + "/" + "distortionCarliniPgdFgsm2." + format
print("destination: ", destination)
fig.savefig(destination,
bbox_inches='tight',
# transparent=True
)
# plt.show(block=False)
# plt.interactive(False)
plt.close()
| [
"adam.dziedzi@gmail.com"
] | adam.dziedzi@gmail.com |
72e7f4e7fd84a20bfa099d9c9aae57b6505f71a2 | e9ef3cd143478660d098668a10e67544a42b5878 | /Lib/corpuscrawler/crawl_fit.py | 889a9f9b40d3cc5385c37d05a86cd79592d13c05 | [
"Apache-2.0"
] | permissive | google/corpuscrawler | a5c790c19b26e6397b768ce26cf12bbcb641eb90 | 10adaecf4ed5a7d0557c8e692c186023746eb001 | refs/heads/master | 2023-08-26T04:15:59.036883 | 2022-04-20T08:18:11 | 2022-04-20T08:18:11 | 102,909,145 | 119 | 40 | NOASSERTION | 2022-04-20T08:18:12 | 2017-09-08T22:21:03 | Python | UTF-8 | Python | false | false | 802 | py | # Copyright 2017 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import absolute_import, print_function, unicode_literals
import re
def crawl(crawler):
out = crawler.get_output(language='fit')
crawler.crawl_sverigesradio(out, program_id=1017)
| [
"sascha@brawer.ch"
] | sascha@brawer.ch |
a3206f4e1b6da273c4478040585ac8b75ed083b0 | df2cbe914f463ad050d7ed26194424afbe3a0a52 | /addons/website_event_track_quiz/controllers/community.py | 7748a2dc1db19bac7ade948bd9df677a27aada67 | [
"Apache-2.0"
] | permissive | SHIVJITH/Odoo_Machine_Test | 019ed339e995be980606a2d87a63312ddc18e706 | 310497a9872db7844b521e6dab5f7a9f61d365a4 | refs/heads/main | 2023-07-16T16:23:14.300656 | 2021-08-29T11:48:36 | 2021-08-29T11:48:36 | 401,010,175 | 0 | 0 | Apache-2.0 | 2021-08-29T10:13:58 | 2021-08-29T10:13:58 | null | UTF-8 | Python | false | false | 4,477 | py | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
import math
from odoo import http
from odoo.addons.http_routing.models.ir_http import slug
from odoo.addons.website_event.controllers.community import EventCommunityController
from odoo.http import request
class WebsiteEventTrackQuizCommunityController(EventCommunityController):
_visitors_per_page = 30
_pager_max_pages = 5
@http.route(['/event/<model("event.event"):event>/community/leaderboard/results',
'/event/<model("event.event"):event>/community/leaderboard/results/page/<int:page>'],
type='http', auth="public", website=True, sitemap=False)
def leaderboard(self, event, page=1, lang=None, **kwargs):
values = self._get_community_leaderboard_render_values(event, kwargs.get('search'), page)
return request.render('website_event_track_quiz.event_leaderboard', values)
@http.route('/event/<model("event.event"):event>/community/leaderboard',
type='http', auth="public", website=True, sitemap=False)
def community_leaderboard(self, event, **kwargs):
values = self._get_community_leaderboard_render_values(event, None, None)
return request.render('website_event_track_quiz.event_leaderboard', values)
@http.route('/event/<model("event.event"):event>/community',
type='http', auth="public", website=True, sitemap=False)
def community(self, event, **kwargs):
values = self._get_community_leaderboard_render_values(event, None, None)
return request.render('website_event_track_quiz.event_leaderboard', values)
def _get_community_leaderboard_render_values(self, event, search_term, page):
values = self._get_leaderboard(event, search_term)
values.update({'event': event, 'search': search_term})
user_count = len(values['visitors'])
if user_count:
page_count = math.ceil(user_count / self._visitors_per_page)
url = '/event/%s/community/leaderboard/results' % (slug(event))
if values.get('current_visitor_position') and not page:
values['scroll_to_position'] = True
page = math.ceil(values['current_visitor_position'] / self._visitors_per_page)
elif not page:
page = 1
pager = request.website.pager(url=url, total=user_count, page=page, step=self._visitors_per_page,
scope=page_count if page_count < self._pager_max_pages else self._pager_max_pages)
values['visitors'] = values['visitors'][(page - 1) * self._visitors_per_page: (page) * self._visitors_per_page]
else:
pager = {'page_count': 0}
values.update({'pager': pager})
return values
def _get_leaderboard(self, event, searched_name=None):
current_visitor = request.env['website.visitor']._get_visitor_from_request(force_create=False)
track_visitor_data = request.env['event.track.visitor'].sudo().read_group(
[('track_id', 'in', event.track_ids.ids),
('visitor_id', '!=', False),
('quiz_points', '>', 0)],
['id', 'visitor_id', 'points:sum(quiz_points)'],
['visitor_id'], orderby="points DESC")
data_map = {datum['visitor_id'][0]: datum['points'] for datum in track_visitor_data if datum.get('visitor_id')}
leaderboard = []
position = 1
current_visitor_position = False
visitors_by_id = {
visitor.id: visitor
for visitor in request.env['website.visitor'].sudo().browse(data_map.keys())
}
for visitor_id, points in data_map.items():
visitor = visitors_by_id.get(visitor_id)
if not visitor:
continue
if (searched_name and searched_name.lower() in visitor.display_name.lower()) or not searched_name:
leaderboard.append({'visitor': visitor, 'points': points, 'position': position})
if current_visitor and current_visitor == visitor:
current_visitor_position = position
position = position + 1
return {
'top3_visitors': leaderboard[:3],
'visitors': leaderboard,
'current_visitor_position': current_visitor_position,
'current_visitor': current_visitor,
'searched_name': searched_name
}
| [
"36736117+SHIVJITH@users.noreply.github.com"
] | 36736117+SHIVJITH@users.noreply.github.com |
23a549649db32408d622701f911b724d3231db54 | 1d60c5a7b8ce6277bff514e376f79848f706344c | /Data Scientist with Python - Career Track /15. Interactive Data Visualization with Bokeh/02. Layouts, Interactions, and Annotations/03. Nesting rows and columns of plots.py | 4a34c4b1509d2e81c41dfc8db282991c297c849f | [] | no_license | DidiMilikina/DataCamp | 338c6e6d3b4f5b6c541c1aba155a36e9ee24949d | 3bf2cf3c1430190a7f8e54efda7d50a5fd66f244 | refs/heads/master | 2020-12-15T13:16:54.178967 | 2020-05-06T17:30:54 | 2020-05-06T17:30:54 | 235,113,616 | 4 | 3 | null | null | null | null | UTF-8 | Python | false | false | 952 | py | '''
Nesting rows and columns of plots
You can create nested layouts of plots by combining row and column layouts. In this exercise, you'll make a 3-plot layout in two rows using the auto-mpg data set. Three plots have been created for you of average mpg vs year (avg_mpg), mpg vs hp (mpg_hp), and mpg vs weight (mpg_weight).
Your job is to use the row() and column() functions to make a two-row layout where the first row will have only the average mpg vs year plot and the second row will have mpg vs hp and mpg vs weight plots as columns.
By using the sizing_mode argument, you can scale the widths to fill the whole figure.
Instructions
100 XP
Import row and column from bokeh.layouts.
Create a row layout called row2 with the figures mpg_hp and mpg_weight in a list and set sizing_mode='scale_width'.
Create a column layout called layout with the figure avg_mpg and the row layout row2 in a list and set sizing_mode='scale_width'.
'''
SOLUTION
| [
"didimilikina8@gmail.com"
] | didimilikina8@gmail.com |
29c223f3be9ebfbf847f6f23addf34933a47d3bc | 0ef8d98726078a75bc9e4d7001ca3eb4d0dd43f4 | /tests/queries/select/where/expressive_tests.py | 3e8f8a6776f5a5bc95892070529b102fc1e6346f | [] | no_license | fuzeman/byte | b32a5ff02cb5aa37aa9f86b0ec2fa1814fa8838e | cfd552583a20afded620058e18b950fe344b0245 | refs/heads/master | 2021-01-20T11:56:07.164270 | 2017-05-19T05:47:48 | 2017-05-19T05:47:48 | 82,638,124 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,501 | py | from __future__ import absolute_import, division, print_function
from byte.collection import Collection
from byte.core.models.expressions.proxy import ProxyEqual, ProxyGreaterThanOrEqual, ProxyLessThan, ProxyNotEqual
from tests.base.models.dynamic.user import User
from hamcrest import *
users = Collection(User)
def test_simple():
"""Test select() query can be created with expressions."""
query = users.select().where(
User['id'] < 35,
User['username'] != 'alpha'
)
assert_that(query, has_property('state', has_entries({
# where()
'where': all_of(
has_length(2),
has_items(
# User['id'] < 35
all_of(instance_of(ProxyLessThan), has_properties({
'lhs': User['id'],
'rhs': 35
})),
# User['username'] != 'alpha'
all_of(instance_of(ProxyNotEqual), has_properties({
'lhs': User['username'],
'rhs': 'alpha'
}))
)
)
})))
def test_chain():
"""Test select() query can be created with chained expressions."""
query = users.select().where(
User['id'] >= 12
).where(
User['username'] != 'beta'
)
assert_that(query, has_property('state', has_entries({
# where()
'where': all_of(
has_length(2),
has_items(
# User['id'] >= 12
all_of(instance_of(ProxyGreaterThanOrEqual), has_properties({
'lhs': User['id'],
'rhs': 12
})),
# User['username'] != 'beta'
all_of(instance_of(ProxyNotEqual), has_properties({
'lhs': User['username'],
'rhs': 'beta'
}))
)
)
})))
def test_match():
"""Test select() query can be created with property matching expressions."""
query = users.select().where(
User['username'] == User['password']
)
assert_that(query, has_property('state', has_entries({
# where()
'where': all_of(
has_length(1),
has_items(
# User['username'] == User['password']
all_of(instance_of(ProxyEqual), has_properties({
'lhs': User['username'],
'rhs': User['password']
}))
)
)
})))
| [
"me@dgardiner.net"
] | me@dgardiner.net |
cdb6db06ca510e1725ee054c97aacb151761f4e3 | c065ff2a6a377aea2303b7b8482558049958a7ec | /spam/1562226369/tactile.tac | 10ddf48fe2a06c4f6386cf59674fe64707965772 | [] | no_license | waedbara/vision2tactile | 7bc9861eecb4247fd254ea58dc508ed18a03b1af | edbc9dfee61b4a4b1f0caebb2f16faef090dff32 | refs/heads/master | 2022-04-02T20:43:16.621687 | 2019-12-11T08:07:39 | 2019-12-11T08:07:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 290 | tac | ,3620,3726,3686,3728,3416,3675,3764,3588,3589,3537,3511,3678,3384,3398,3293,3293,3452,3489,3004,2809,3696,3658,3585,3218,2013,2007,1854,2299,2611,3211,3418,2241,3186,3327,2730,3426,3364,3299,3049,3253,3472,3232,3331,3345,3255,3343,3312,2862,2718,3456,3442,3467,3351,2045,2046,2880,2034,2477 | [
"brayan.inf@gmail.com"
] | brayan.inf@gmail.com |
f606251b65cb39a42ee14338420816cf79dc988b | 67ebe31bd561bad451f4cc1274f89b06c3c4f1e5 | /ldLib/GUI/Button.py | 3ed66d1ee9e7f4b842bc93039004f422536b86dd | [] | no_license | Bobsleigh/LDEngine | 9c7e60a887c1c118fa5348aaf2891ea800bb26b6 | 110aaf53f7843e9f18579f156b38f57c0fcc0ba6 | refs/heads/master | 2020-12-24T10:23:58.963627 | 2020-08-25T20:42:33 | 2020-08-25T20:42:33 | 73,085,051 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,975 | py | import pygame
from app.settings import *
class Button(pygame.sprite.Sprite):
def __init__(self, pos, size, text, callback):
super().__init__()
self.method = callback
self.fontSize = 24
self.buttonFont = pygame.font.SysFont(FONT_NAME, self.fontSize)
self.width = size[0]
self.height = size[1]
self.image = pygame.Surface((self.width, self.height))
self.rect = self.image.get_rect()
self.rect.x = pos[0]
self.rect.y = pos[1]
self.borderButton = 5
self.interior = pygame.Rect(self.borderButton, self.borderButton, self.width - 2 * self.borderButton,
self.height - 2 * self.borderButton)
self.text = text
self.textPos = [0, 0]
self.isSelected = False
# Color
self.color1 = COLOR_MENU_1
self.color2 = COLOR_MENU_2
def doNothing(self):
print('You did nothing')
def update(self):
if self.isSelected:
self.color1 = COLOR_MENU_SELECT_1
self.color2 = COLOR_MENU_SELECT_2
self.printedText = self.buttonFont.render(self.text, True, COLOR_MENU_FONTS_SELECT)
else:
self.color1 = COLOR_MENU_1
self.color2 = COLOR_MENU_2
self.printedText = self.buttonFont.render(self.text, True, COLOR_MENU_FONTS)
self.setUpgradeSpec()
self.image.fill(self.color2)
self.image.fill(self.color1, self.interior)
self.image.blit(self.printedText, self.textPos)
def setUpgradeSpec(self):
self.textPos = [(self.image.get_width() - self.printedText.get_width()) / 2,
(self.image.get_height() - self.printedText.get_height()) / 2]
def notify(self, event):
if event.type == pygame.MOUSEBUTTONDOWN:
if event.button == MOUSE_LEFT:
if self.rect.collidepoint(event.pos):
self.method() | [
"philippe.gendreau.2@ulaval.ca"
] | philippe.gendreau.2@ulaval.ca |
60f43fe61e1fa6fc5236f134ab1fd87d002bcfbd | 0529196c4d0f8ac25afa8d657413d4fc1e6dd241 | /runnie0427/05054/5054.py2.py | 62c2c79226369578246b4836b928612466f4dc1d | [] | no_license | riyuna/boj | af9e1054737816ec64cbef5df4927c749808d04e | 06420dd38d4ac8e7faa9e26172b30c9a3d4e7f91 | refs/heads/master | 2023-03-17T17:47:37.198570 | 2021-03-09T06:11:41 | 2021-03-09T06:11:41 | 345,656,935 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 17,370 | py | <!DOCTYPE html>
<html lang="ko">
<head>
<title>Baekjoon Online Judge</title><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta charset="utf-8"><meta name="author" content="스타트링크 (Startlink)"><meta name="keywords" content="ACM-ICPC, ICPC, 프로그래밍, 온라인 저지, 정보올림피아드, 코딩, 알고리즘, 대회, 올림피아드, 자료구조"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta property="og:type" content="website"><meta property="og:image" content="http://onlinejudgeimages.s3-ap-northeast-1.amazonaws.com/images/boj-og-1200.png"><meta property="og:site_name" content="Baekjoon Online Judge"><meta name="format-detection" content = "telephone=no"><meta name="msapplication-config" content="none"><link rel="apple-touch-icon" sizes="180x180" href="/apple-touch-icon.png"><link rel="icon" type="image/png" sizes="32x32" href="/favicon-32x32.png"><link rel="icon" type="image/png" sizes="16x16" href="/favicon-16x16.png"><link rel="manifest" href="/site.webmanifest"><link rel="mask-icon" href="/safari-pinned-tab.svg" color="#0076c0"><meta name="msapplication-TileColor" content="#00aba9"><meta name="theme-color" content="#ffffff"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.2.0/css/bootstrap.min.css"><link rel="stylesheet" href="https://ddo7jzca0m2vt.cloudfront.net/unify/css/style.css?version=20210107"><link href="https://fonts.googleapis.com/css?family=Noto+Sans+KR:400,700|Open+Sans:400,400i,700,700i|Source+Code+Pro&subset=korean" rel="stylesheet"><link rel="stylesheet" href="https://ddo7jzca0m2vt.cloudfront.net/css/connect.css?version=20210107"><link rel="stylesheet" href="https://ddo7jzca0m2vt.cloudfront.net/css/result.css?version=20210107"><link rel="stylesheet" href="https://ddo7jzca0m2vt.cloudfront.net/unify/css/custom.css?version=20210107"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.6.3/css/font-awesome.css"><link rel="stylesheet" href="https://ddo7jzca0m2vt.cloudfront.net/unify/css/theme-colors/blue.css?version=20210107"><link rel="stylesheet" href="https://ddo7jzca0m2vt.cloudfront.net/css/pace.css">
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"riyuna0427@gmail.com"
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b35a279c534a0599d23de680ac9e6fad6a6ead3c | b46f5825b809c0166622149fc5561c23750b379c | /AppImageBuilder/app_dir/bundlers/apt/package_lists.py | 2a9ebdbd72908f76f446d8de376dd6127592ef65 | [
"MIT"
] | permissive | gouchi/appimage-builder | 22b85cb682f1b126515a6debd34874bd152a4211 | 40e9851c573179e066af116fb906e9cad8099b59 | refs/heads/master | 2022-09-28T09:46:11.783837 | 2020-06-07T19:44:48 | 2020-06-07T19:44:48 | 267,360,199 | 0 | 0 | MIT | 2020-05-27T15:42:25 | 2020-05-27T15:42:24 | null | UTF-8 | Python | false | false | 1,936 | py | # Copyright 2020 Alexis Lopez Zubieta
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
# sell copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
apt_core_packages = [
'util-linux',
'coreutils',
'adduser',
'avahi-daemon',
'base-files',
'bind9-host',
'consolekit',
'dbus',
'debconf',
'dpkg',
'lsb-base',
'libcap2-bin',
'libinput-bin',
'multiarch-support',
'passwd',
'systemd',
'systemd-sysv',
'ucf',
'iso-codes',
'shared-mime-info',
'mount',
'xdg-user-dirs',
'sysvinit-utils',
'debianutils',
'init-system-helpers',
'libpam-runtime',
'libpam-modules-bin',
]
apt_font_config_packages = [
'libfontconfig*',
'fontconfig',
'fontconfig-config',
'libfreetype*',
]
apt_xclient_packages = [
'x11-common',
'libx11-*',
'libxcb1',
'libxcb-shape0',
'libxcb-shm0',
'libxcb-glx0',
'libxcb-xfixes0',
'libxcb-present0',
'libxcb-render0',
'libxcb-dri2-0',
'libxcb-dri3-0',
]
apt_graphics_stack_packages = [
'libglvnd*',
'libglx*',
'libgl1*',
'libdrm*',
'libegl1*',
'libegl1-*',
'libglapi*',
'libgles2*',
'libgbm*',
'mesa-*',
]
apt_glibc_packages = ['libc6', 'zlib1g', 'libstdc++6']
# packages required by the runtime generators
apt_proot_apprun_packages = ['proot', 'coreutils']
apt_classic_apprun_packages = ['coreutils']
apt_wrapper_apprun_packages = []
| [
"contact@azubieta.net"
] | contact@azubieta.net |
40fa34f31d61c6e5ac53b3bd7e6e3f4adeb6fd93 | 79661312d54643ce9dcfe3474058f514b01bfbe6 | /model/main_window_8_btc.py | 7259dfb9dd2b86c0e24dfdde1dc30162d7187831 | [] | no_license | davis-9fv/Project | 5c4c8ac03f5bf9db28704e63de9b004f56a52f10 | f2bd22b3ac440b91d1d1defc8da9e2ba2e67265e | refs/heads/master | 2020-03-20T22:24:07.244521 | 2019-02-28T16:58:04 | 2019-02-28T16:58:04 | 137,796,517 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,750 | py | from sklearn.utils import shuffle
import datetime
from Util import algorithm
from pandas import read_csv
from sklearn.metrics import mean_squared_error
from math import sqrt
from Util import misc
from Util import data_misc
import numpy
def compare(y_test, y_predicted):
predictions = list()
for i in range(len(y_test)):
X = x_test[i]
yhat = y_predicted[i]
yhat = data_misc.invert_scale(scaler, X, yhat)
#Stationary
d = avg_values[split + window_size - 1:]
yhat = data_misc.inverse_difference(d, yhat, len(y_test) + 1 - i)
predictions.append(yhat)
d = avg_values[split + window_size + 1:]
#d = avg_values[split + window_size :]
rmse = sqrt(mean_squared_error(d, predictions))
#rmse = sqrt(mean_squared_error(y_test, y_predicted))
return rmse, predictions
seed = 5
numpy.random.seed(seed)
time_start = datetime.datetime.now()
result = list()
shuffle_data = False
write_file = False
print('Start time: %s' % str(time_start.strftime('%Y-%m-%d %H:%M:%S')))
print('Shuffle: %i' % (shuffle_data))
path = 'C:/tmp/bitcoin/'
#input_file = 'bitcoin_usd_11_10_2018.csv'
input_file = 'bitcoin_usd_bitcoin_block_chain_trend_by_day.csv'
window_size = 7 # 7
result = list()
print('')
print('')
print('Window Size: %i' % (window_size))
# To pair with the other models, this model gets 1438 first rows.
series = read_csv(path + input_file, header=0, sep=',', nrows=1438)
series = series.iloc[::-1]
date = series['Date']
avg = series['Avg']
date = date.iloc[window_size:]
date = date.values
avg_values = avg.values
# Stationary Data
diff_values = data_misc.difference(avg_values, 1)
#diff_values= avg_values
supervised = data_misc.timeseries_to_supervised(diff_values, window_size)
# The first [Window size number] contains zeros which need to be cut.
supervised = supervised.values[window_size:, :]
if shuffle_data:
supervised = shuffle(supervised, random_state=9)
size_supervised = len(supervised)
split = int(size_supervised * 0.80)
train, test = supervised[0:split], supervised[split:]
# transform the scale of the data
scaler, train_scaled, test_scaled = data_misc.scale(train, test)
x_train, y_train = train_scaled[:, 0:-1], train_scaled[:, -1]
x_test, y_test = test_scaled[:, 0:-1], test_scaled[:, -1]
print('Size size_supervised %i' % (size_supervised))
print('------- Test --------')
# No Prediction
y_hat_predicted_es = y_test
rmse, y_hat_predicted = compare(y_test, y_hat_predicted_es)
print('RMSE NoPredic %.3f' % (rmse))
# Dummy
y_predicted_dummy_es = x_test[:, 0]
rmse, y_predicted_dummy = compare(y_test, y_predicted_dummy_es)
print('RMSE Dummy %.3f' % (rmse))
# ElasticNet
y_predicted_en_es, y_future_en_es = algorithm.elastic_net(x_train, y_train, x_test, y_test, normalize=False)
rmse, y_predicted_en = compare(y_test, y_predicted_en_es)
print('RMSE Elastic %.3f' % (rmse))
# y_future_en = compare(y_test, y_future_en_es)
# KNN5
y_predicted_knn5_es = algorithm.knn_regressor(x_train, y_train, x_test, 5)
rmse, y_predicted_knn5 = compare(y_test, y_predicted_knn5_es)
print('RMSE KNN(5) %.3f' % (rmse))
# KNN10
y_predicted_knn10_es = algorithm.knn_regressor(x_train, y_train, x_test, 10)
rmse, y_predicted_knn10 = compare(y_test, y_predicted_knn10_es)
print('RMSE KNN(10) %.3f' % (rmse))
# SGD
y_predicted_sgd_es = algorithm.sgd_regressor(x_train, y_train, x_test)
rmse, y_predicted_sgd = compare(y_test, y_predicted_sgd_es)
print('RMSE SGD %.3f' % (rmse))
# Lasso
y_predicted_la_sc = algorithm.lasso(x_train, y_train, x_test, normalize=False)
rmse, y_predicted_la = compare(y_test, y_predicted_la_sc)
print('RMSE Lasso %.3f' % (rmse))
# LSTM
y_predicted_lstm = algorithm.lstm(x_train, y_train, x_test, batch_size=1, nb_epoch=60, neurons=14)
rmse, y_predicted_lstm = compare(y_test, y_predicted_lstm)
print('RMSE LSTM %.3f' % (rmse))
titles = ['Y', 'ElasticNet', 'KNN5', 'KNN10', 'SGD', 'Lasso', 'LSTM']
data = [y_hat_predicted, y_predicted_en, y_predicted_knn5, y_predicted_knn10, y_predicted_sgd, y_predicted_la,
y_predicted_lstm]
# titles = ['Y', 'ElasticNet', 'ElasticNet Future', 'KNN5', 'KNN10', 'SGD']
# data = [y_test, y_predicted_en, y_future_en, y_predicted_knn5, y_predicted_knn10]
# y_future_en = y_future_en[1]
# data = [y_hat_predicted, y_predicted_en, y_future_en, y_predicted_knn5, y_predicted_knn10, y_predicted_sgd]
date_test = date[split + 1:]
print('Length date test:' + str(len(date_test)))
print('Length data test:' + str(len(y_test)))
misc.plot_lines_graph('Stationary - Normalization,Test Data ', date_test, titles, data)
time_end = datetime.datetime.now()
print('End time: %s' % str(time_end.strftime('%Y-%m-%d %H:%M:%S')))
print('Duration of the script: %s' % (str(time_end - time_start)))
| [
"francisco.vinueza@alterbios.com"
] | francisco.vinueza@alterbios.com |
f4cfce085f2bee40324b89a91182e3026dbc3fec | 4fd84e0e1097d1153ed477a5e76b4972f14d273a | /myvirtualenv/lib/python3.7/site-packages/azure/servicefabric/models/cluster_health_report_expired_event.py | d09441c8e9559e4bdf055e5d5613c9698a8815f4 | [
"MIT"
] | permissive | peterchun2000/TerpV-U | c045f4a68f025f1f34b89689e0265c3f6da8b084 | 6dc78819ae0262aeefdebd93a5e7b931b241f549 | refs/heads/master | 2022-12-10T09:31:00.250409 | 2019-09-15T15:54:40 | 2019-09-15T15:54:40 | 208,471,905 | 0 | 2 | MIT | 2022-12-08T06:09:33 | 2019-09-14T16:49:41 | Python | UTF-8 | Python | false | false | 3,889 | py | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from .cluster_event import ClusterEvent
class ClusterHealthReportExpiredEvent(ClusterEvent):
"""Cluster Health Report Expired event.
All required parameters must be populated in order to send to Azure.
:param event_instance_id: Required. The identifier for the FabricEvent
instance.
:type event_instance_id: str
:param time_stamp: Required. The time event was logged.
:type time_stamp: datetime
:param has_correlated_events: Shows there is existing related events
available.
:type has_correlated_events: bool
:param kind: Required. Constant filled by server.
:type kind: str
:param source_id: Required. Id of report source.
:type source_id: str
:param property: Required. Describes the property.
:type property: str
:param health_state: Required. Describes the property health state.
:type health_state: str
:param time_to_live_ms: Required. Time to live in milli-seconds.
:type time_to_live_ms: long
:param sequence_number: Required. Sequence number of report.
:type sequence_number: long
:param description: Required. Description of report.
:type description: str
:param remove_when_expired: Required. Indicates the removal when it
expires.
:type remove_when_expired: bool
:param source_utc_timestamp: Required. Source time.
:type source_utc_timestamp: datetime
"""
_validation = {
'event_instance_id': {'required': True},
'time_stamp': {'required': True},
'kind': {'required': True},
'source_id': {'required': True},
'property': {'required': True},
'health_state': {'required': True},
'time_to_live_ms': {'required': True},
'sequence_number': {'required': True},
'description': {'required': True},
'remove_when_expired': {'required': True},
'source_utc_timestamp': {'required': True},
}
_attribute_map = {
'event_instance_id': {'key': 'EventInstanceId', 'type': 'str'},
'time_stamp': {'key': 'TimeStamp', 'type': 'iso-8601'},
'has_correlated_events': {'key': 'HasCorrelatedEvents', 'type': 'bool'},
'kind': {'key': 'Kind', 'type': 'str'},
'source_id': {'key': 'SourceId', 'type': 'str'},
'property': {'key': 'Property', 'type': 'str'},
'health_state': {'key': 'HealthState', 'type': 'str'},
'time_to_live_ms': {'key': 'TimeToLiveMs', 'type': 'long'},
'sequence_number': {'key': 'SequenceNumber', 'type': 'long'},
'description': {'key': 'Description', 'type': 'str'},
'remove_when_expired': {'key': 'RemoveWhenExpired', 'type': 'bool'},
'source_utc_timestamp': {'key': 'SourceUtcTimestamp', 'type': 'iso-8601'},
}
def __init__(self, **kwargs):
super(ClusterHealthReportExpiredEvent, self).__init__(**kwargs)
self.source_id = kwargs.get('source_id', None)
self.property = kwargs.get('property', None)
self.health_state = kwargs.get('health_state', None)
self.time_to_live_ms = kwargs.get('time_to_live_ms', None)
self.sequence_number = kwargs.get('sequence_number', None)
self.description = kwargs.get('description', None)
self.remove_when_expired = kwargs.get('remove_when_expired', None)
self.source_utc_timestamp = kwargs.get('source_utc_timestamp', None)
self.kind = 'ClusterHealthReportExpired'
| [
"peterchun2000@gmail.com"
] | peterchun2000@gmail.com |
a0c559f5b6acd5920910dc1440eafcf7205673ca | 4461af13a595982b2940e45796c336d3ba7a14ac | /test/dygraph_to_static/test_word2vec.py | a17bf5e5f9e57fa8162caad888b2173d1b1ac837 | [
"Apache-2.0"
] | permissive | Xreki/Paddle | 6659c3c5ad727bc071a302e510c9da202d4f1bf4 | 5e1ee1064052ffe285bc18e3fdeb5667824f1c20 | refs/heads/develop | 2023-08-31T18:23:12.073614 | 2023-04-24T03:44:36 | 2023-04-24T03:44:36 | 66,993,970 | 2 | 0 | Apache-2.0 | 2023-04-24T05:17:59 | 2016-08-31T02:08:14 | Python | UTF-8 | Python | false | false | 9,658 | py | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import math
import random
import unittest
import numpy as np
import paddle
from paddle import fluid
from paddle.jit.api import to_static
from paddle.nn import Embedding
def fake_text():
corpus = []
for i in range(100):
line = "i love paddlepaddle"
corpus.append(line)
return corpus
corpus = fake_text()
def data_preprocess(corpus):
new_corpus = []
for line in corpus:
line = line.strip().lower()
line = line.split(" ")
new_corpus.append(line)
return new_corpus
corpus = data_preprocess(corpus)
def build_dict(corpus, min_freq=3):
word_freq_dict = {}
for line in corpus:
for word in line:
if word not in word_freq_dict:
word_freq_dict[word] = 0
word_freq_dict[word] += 1
word_freq_dict = sorted(
word_freq_dict.items(), key=lambda x: x[1], reverse=True
)
word2id_dict = {}
word2id_freq = {}
id2word_dict = {}
word2id_freq[0] = 1.0
word2id_dict['[oov]'] = 0
id2word_dict[0] = '[oov]'
for word, freq in word_freq_dict:
if freq < min_freq:
word2id_freq[0] += freq
continue
curr_id = len(word2id_dict)
word2id_dict[word] = curr_id
word2id_freq[word2id_dict[word]] = freq
id2word_dict[curr_id] = word
return word2id_freq, word2id_dict, id2word_dict
word2id_freq, word2id_dict, id2word_dict = build_dict(corpus)
vocab_size = len(word2id_freq)
print("there are totoally %d different words in the corpus" % vocab_size)
for _, (word, word_id) in zip(range(50), word2id_dict.items()):
print(
"word %s, its id %d, its word freq %d"
% (word, word_id, word2id_freq[word_id])
)
def convert_corpus_to_id(corpus, word2id_dict):
new_corpus = []
for line in corpus:
new_line = [
word2id_dict[word]
if word in word2id_dict
else word2id_dict['[oov]']
for word in line
]
new_corpus.append(new_line)
return new_corpus
corpus = convert_corpus_to_id(corpus, word2id_dict)
def subsampling(corpus, word2id_freq):
def keep(word_id):
return random.uniform(0, 1) < math.sqrt(
1e-4 / word2id_freq[word_id] * len(corpus)
)
new_corpus = []
for line in corpus:
new_line = [word for word in line if keep(word)]
new_corpus.append(line)
return new_corpus
corpus = subsampling(corpus, word2id_freq)
def build_data(
corpus,
word2id_dict,
word2id_freq,
max_window_size=3,
negative_sample_num=10,
):
dataset = []
for line in corpus:
for center_word_idx in range(len(line)):
window_size = random.randint(1, max_window_size)
center_word = line[center_word_idx]
positive_word_range = (
max(0, center_word_idx - window_size),
min(len(line) - 1, center_word_idx + window_size),
)
positive_word_candidates = [
line[idx]
for idx in range(
positive_word_range[0], positive_word_range[1] + 1
)
if idx != center_word_idx and line[idx] != line[center_word_idx]
]
if not positive_word_candidates:
continue
for positive_word in positive_word_candidates:
dataset.append((center_word, positive_word, 1))
i = 0
while i < negative_sample_num:
negative_word_candidate = random.randint(0, vocab_size - 1)
if negative_word_candidate not in positive_word_candidates:
dataset.append((center_word, negative_word_candidate, 0))
i += 1
return dataset
dataset = build_data(corpus, word2id_dict, word2id_freq)
for _, (center_word, target_word, label) in zip(range(50), dataset):
print(
"center_word %s, target %s, label %d"
% (id2word_dict[center_word], id2word_dict[target_word], label)
)
def build_batch(dataset, batch_size, epoch_num):
center_word_batch = []
target_word_batch = []
label_batch = []
eval_word_batch = []
for epoch in range(epoch_num):
for center_word, target_word, label in dataset:
center_word_batch.append([center_word])
target_word_batch.append([target_word])
label_batch.append([label])
if len(eval_word_batch) < 5:
eval_word_batch.append([random.randint(0, 99)])
elif len(eval_word_batch) < 10:
eval_word_batch.append([random.randint(0, vocab_size - 1)])
if len(center_word_batch) == batch_size:
yield np.array(center_word_batch).astype("int64"), np.array(
target_word_batch
).astype("int64"), np.array(label_batch).astype(
"float32"
), np.array(
eval_word_batch
).astype(
"int64"
)
center_word_batch = []
target_word_batch = []
label_batch = []
eval_word_batch = []
if len(center_word_batch) > 0:
yield np.array(center_word_batch).astype("int64"), np.array(
target_word_batch
).astype("int64"), np.array(label_batch).astype("float32"), np.array(
eval_word_batch
).astype(
"int64"
)
class SkipGram(paddle.nn.Layer):
def __init__(self, name_scope, vocab_size, embedding_size, init_scale=0.1):
super().__init__(name_scope)
self.vocab_size = vocab_size
self.embedding_size = embedding_size
self.embedding = Embedding(
self.vocab_size,
self.embedding_size,
weight_attr=fluid.ParamAttr(
name='embedding_para',
initializer=paddle.nn.initializer.Uniform(
low=-0.5 / self.embedding_size,
high=0.5 / self.embedding_size,
),
),
)
self.embedding_out = Embedding(
self.vocab_size,
self.embedding_size,
weight_attr=fluid.ParamAttr(
name='embedding_out_para',
initializer=paddle.nn.initializer.Uniform(
low=-0.5 / self.embedding_size,
high=0.5 / self.embedding_size,
),
),
)
@to_static
def forward(self, center_words, target_words, label):
center_words_emb = self.embedding(center_words)
target_words_emb = self.embedding_out(target_words)
# center_words_emb = [batch_size, embedding_size]
# target_words_emb = [batch_size, embedding_size]
word_sim = paddle.multiply(center_words_emb, target_words_emb)
word_sim = paddle.sum(word_sim, axis=-1)
pred = paddle.nn.functional.sigmoid(word_sim)
loss = paddle.nn.functional.binary_cross_entropy_with_logits(
word_sim, label
)
loss = paddle.mean(loss)
return pred, loss
batch_size = 512
epoch_num = 1
embedding_size = 200
learning_rate = 1e-3
total_steps = len(dataset) * epoch_num // batch_size
def train(to_static):
paddle.jit.enable_to_static(to_static)
random.seed(0)
np.random.seed(0)
place = (
fluid.CUDAPlace(0)
if fluid.is_compiled_with_cuda()
else fluid.CPUPlace()
)
with fluid.dygraph.guard(place):
fluid.default_startup_program().random_seed = 1000
fluid.default_main_program().random_seed = 1000
skip_gram_model = SkipGram(
"skip_gram_model", vocab_size, embedding_size
)
adam = fluid.optimizer.AdamOptimizer(
learning_rate=learning_rate,
parameter_list=skip_gram_model.parameters(),
)
step = 0
ret = []
for center_words, target_words, label, eval_words in build_batch(
dataset, batch_size, epoch_num
):
center_words_var = fluid.dygraph.to_variable(center_words)
target_words_var = fluid.dygraph.to_variable(target_words)
label_var = fluid.dygraph.to_variable(label)
pred, loss = skip_gram_model(
center_words_var, target_words_var, label_var
)
loss.backward()
adam.minimize(loss)
skip_gram_model.clear_gradients()
step += 1
mean_loss = np.mean(loss.numpy())
print("step %d / %d, loss %f" % (step, total_steps, mean_loss))
ret.append(mean_loss)
return np.array(ret)
class TestWord2Vec(unittest.TestCase):
def test_dygraph_static_same_loss(self):
dygraph_loss = train(to_static=False)
static_loss = train(to_static=True)
np.testing.assert_allclose(dygraph_loss, static_loss, rtol=1e-05)
if __name__ == '__main__':
unittest.main()
| [
"noreply@github.com"
] | Xreki.noreply@github.com |
c1d6d7777b160f039547f7ae9d7740a8f555281d | 9e8e8026e575bbe791770ec4b8630c818b1aab61 | /backend/perfil/models.py | d07743edf026397cb4aa4515b4a336db51bd98fc | [
"MIT"
] | permissive | marcusgabrields/gabr | d4b47e0df35dfca4e8ce1e657c0e4e77cded18ec | 95ade6094ed7675ca267f2f16f77f0033eae9c1f | refs/heads/master | 2023-01-12T16:25:16.610427 | 2020-04-16T23:55:37 | 2020-04-16T23:55:37 | 249,736,516 | 0 | 0 | MIT | 2023-01-05T16:58:31 | 2020-03-24T14:53:42 | Python | UTF-8 | Python | false | false | 542 | py | from django.db import models
from django.utils.translation import ugettext_lazy as _
from common.models import TimeStampedModel
class Perfil(TimeStampedModel):
slug = models.SlugField(_('slug'), max_length=300, unique=True)
user = models.OneToOneField(
'users.User',
on_delete=models.CASCADE,
primary_key=True,
verbose_name=_('user'),
)
name = models.CharField(_('name'), max_length=255)
avatar = models.URLField(_('avatar'), null=True)
def __str__(self):
return self.name
| [
"marcusgabriel.ds@gmail.com"
] | marcusgabriel.ds@gmail.com |
99a637e6bb615e7ca38345ad4eab10e7d6cfd66b | 3cadd7873d22de23a2b6ba030a422f7343ca0622 | /cloudbench/version.py | 42b8659f2dbcf9ba38eb0d49b555b7cfc2b3e152 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | wo083053253/cloudbench | 6620fb1e58e1cc638c7cb2a6032aa0ab10944e95 | df3f7d4e9ce1465d43b57c894da3623aad58c926 | refs/heads/master | 2021-05-03T08:50:23.780043 | 2014-05-30T11:05:31 | 2014-05-30T11:05:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 37 | py | #coding:utf-8
__version__ = "0.14.1"
| [
"thomas@orozco.fr"
] | thomas@orozco.fr |
159149a9c5d8223eb83ff1f41461f63ee257711c | b521802cca8e4ee4ff5a5ffe59175a34f2f6d763 | /maya/maya-utils/Scripts/Animation/2019-2-15 Tim Cam_Route_Manager/.history/Cam_Main/Cam_Main/Cam_Item_Layout_20190119205543.py | 8083e5043cdb9a60da3d9f28cc65246da25b9252 | [] | no_license | all-in-one-of/I-Do-library | 2edf68b29558728ce53fe17168694ad0353a076e | 8972ebdcf1430ccc207028d8482210092acf02ce | refs/heads/master | 2021-01-04T06:58:57.871216 | 2019-12-16T04:52:20 | 2019-12-16T04:52:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,809 | py | # -*- coding:utf-8 -*-
# Require Header
import os
import json
from functools import partial
# Sys Header
import sys
import traceback
import subprocess
import plugin.Qt as Qt
from Qt.QtCore import *
from Qt.QtGui import *
from Qt.QtWidgets import *
def loadUiType(uiFile):
import plugin.Qt as Qt
if Qt.__binding__.startswith('PyQt'):
from Qt import _uic as uic
return uic.loadUiType(uiFile)
elif Qt.__binding__ == 'PySide':
import pysideuic as uic
else:
import pyside2uic as uic
import xml.etree.ElementTree as xml
from cStringIO import StringIO
parsed = xml.parse(uiFile)
widget_class = parsed.find('widget').get('class')
form_class = parsed.find('class').text
with open(uiFile, 'r') as f:
o = StringIO()
frame = {}
uic.compileUi(f, o, indent=0)
pyc = compile(o.getvalue(), '<string>', 'exec')
exec pyc in frame
# Fetch the base_class and form class based on their type
# in the xml from designer
form_class = frame['Ui_%s'%form_class]
base_class = eval('%s'%widget_class)
return form_class, base_class
from Qt.QtCompat import wrapInstance
DIR = os.path.dirname(__file__)
UI_PATH = os.path.join(DIR,"ui","Cam_Item_Layout.ui")
GUI_STATE_PATH = os.path.join(DIR, "json" ,'GUI_STATE.json')
form_class , base_class = loadUiType(UI_PATH)
from maya import cmds
class Cam_Item_Layout(form_class,base_class):
def __init__(self,MainWindow):
super(Cam_Item_Layout,self).__init__()
self.setupUi(self)
self.MainWindow = MainWindow
self.Item_Add_BTN.clicked.connect(self.Item_Add_Fn)
self.Item_Clear_BTN.clicked.connect(self.Item_Clear_Fn)
self.Cam_Item_Num = 0
self.Cam_Item_Scroll.verticalScrollBar().valueChanged.connect(self.Scroll_Fn)
self.Scroll_Offset = 0
self.Attr = {}
self.Attr["Add_Crv_LE"] = ""
self.Attr["Add_Motion_Path_LE"] = ""
self.Attr["Add_CamGrp_LE"] = ""
self.Attr["Add_Loc_LE"] = ""
self.Attr["Name"] = ""
# Note 功能按键
self.Batch_Keyframe_BTN.clicked.connect(self.Batch_Keyframe_Fn)
self.Select_Path_BTN.clicked.connect(self.Select_Path_Fn)
self.Batch_Position_BTN.clicked.connect(self.Batch_Position_Fn)
self.Batch_Constraint_BTN.clicked.connect(self.Batch_Constraint_Fn)
def Batch_Constraint_Fn(self):
Cam_Grp = self.Attr["Add_CamGrp_LE"]
Loc = self.Attr["Add_Loc_LE"]
if not cmds.objExists(Cam_Grp): return
if not cmds.objExists(Loc): return
cmds.select(cl=1)
cmds.select(Loc,add=1)
ChildrenList = self.Item_Layout.children()
for i,child in enumerate(ChildrenList):
if i != 0:
Cam_Loc = child.Attr["Add_Loc_LE"]
if not cmds.objExists(Cam_Loc): continue
cmds.select(Cam_Loc,add=1)
child.Cam_Con_CB.setEnabled(True)
cmds.select(Cam_Grp,add=1)
pnCns = cmds.parentConstraint(mo=0)
Attr_List = cmds.listAttr(pnCns,k=1,string="*W*")
for i,child in enumerate(ChildrenList):
if i != 0:
try :
child.Cam_Con_CB.stateChanged.disconnect()
except:
pass
child.Cam_Con_CB.stateChanged.connect(partial(self.Cam_Con_CB_Fn,pnCns,child,Attr_List))
def Cam_Con_CB_Fn(self,CB,Con,Attr,state):
ChildrenList = self.Item_Layout.children()
for i,child in enumerate(ChildrenList):
if i != 0:
if child != CB:
child.Cam_Con_CB.blockSignals(True)
child.Cam_Con_CB.setChecked(False)
if state == 2:
CB.Cam_Con_CB.setChecked(True)
cmds.setAttr("%s.%s" % (Con,Attr),1)
else:
CB.Cam_Con_CB.setChecked(False)
for i,child in enumerate(ChildrenList):
if i != 0:
if child != CB:
child.Cam_Con_CB.blockSignals(False)
def Batch_Position_Fn(self):
ChildrenList = self.Item_Layout.children()
for i,child in enumerate(ChildrenList):
if i != 0:
Base_Curve = self.Attr["Add_Crv_LE"]
CamGrp = child.Attr["Add_CamGrp_LE"]
if not cmds.objExists(Base_Curve): continue
if not cmds.objExists(CamGrp): continue
cmds.setAttr("%s.tx" % CamGrp,0)
cmds.setAttr("%s.ty" % CamGrp,0)
cmds.setAttr("%s.tz" % CamGrp,0)
cmds.setAttr("%s.rx" % CamGrp,0)
cmds.setAttr("%s.ry" % CamGrp,0)
cmds.setAttr("%s.rz" % CamGrp,0)
cmds.xform( CamGrp,cp=1 )
cmds.delete(cmds.parentConstraint( Base_Curve,CamGrp ))
Target_Curve = child.Attr["Add_Crv_LE"]
if not cmds.objExists(Target_Curve): continue
cmds.xform( Target_Curve,cp=1 )
# Note 解除曲线的锁定
cmds.setAttr("%s.tx" % Target_Curve,lock=False)
cmds.setAttr("%s.ty" % Target_Curve,lock=False)
cmds.setAttr("%s.tz" % Target_Curve,lock=False)
cmds.setAttr("%s.rx" % Target_Curve,lock=False)
cmds.setAttr("%s.ry" % Target_Curve,lock=False)
cmds.setAttr("%s.rz" % Target_Curve,lock=False)
cmds.delete(cmds.parentConstraint( Base_Curve,Target_Curve ))
cmds.headsUpMessage(u"位置匹配完成")
def Batch_Keyframe_Fn(self):
ChildrenList = self.Item_Layout.children()
for i,child in enumerate(ChildrenList):
if i != 0:
Path = child.Attr["Add_Motion_Path_LE"]
if cmds.objExists(Path):
offset = cmds.keyframe(Path,q=1)[0]
cmds.keyframe("%s.uValue"% Path,e=1,iub=1,r=1,o="over",tc=-offset)
def Select_Path_Fn(self):
cmds.select(cl=1)
ChildrenList = self.Item_Layout.children()
for i,child in enumerate(ChildrenList):
if i != 0:
if cmds.objExists(child.Attr["Add_Motion_Path_LE"]):
cmds.select(child.Attr["Add_Motion_Path_LE"],add=1)
def Item_Add_Fn(self):
self.Cam_Item_Num += 1
return Cam_Item(self,self.MainWindow)
def Item_Clear_Fn(self):
self.Attr["Add_Crv_LE"] = ""
self.Attr["Add_Motion_Path_LE"] = ""
self.Attr["Name"] = ""
for i,child in enumerate(self.Item_Layout.children()):
if i != 0:
child.deleteLater()
def Scroll_Fn(self):
self.Scroll_Offset = self.Cam_Item_Scroll.verticalScrollBar().value()
UI_PATH = os.path.join(DIR,"ui","Cam_Item.ui")
form_class , base_class = loadUiType(UI_PATH)
class Cam_Item(form_class,base_class):
def __init__(self,parent,MainWindow):
super(Cam_Item,self).__init__()
self.setupUi(self)
self.MainWindow = MainWindow
self.Cam_Del_BTN.clicked.connect(self.Cam_Del_BTN_Fn)
# self.Cam_Con_CB.stateChanged.connect(self.Cam_Con_CB_Fn)
# Note 初始化创建参数
TotalCount = len(parent.Item_Layout.children())
parent.Item_Layout.layout().insertWidget(TotalCount-1,self)
self.Cam_LE.setText("Cam_Item_%s" % parent.Cam_Item_Num)
self.Cam_Num_Label.setText(u"镜头%s" % TotalCount)
self.setObjectName("Cam_Item_%s" % TotalCount)
self.Num = TotalCount
self.Attr = {}
self.Attr["Add_CamGrp_LE"] = ""
self.Attr["Add_Loc_LE"] = ""
self.Attr["Add_Crv_LE"] = ""
self.Attr["Add_Motion_Path_LE"] = ""
self.Attr["Strat_Time_SB"] = 0
self.Attr["End_Time_SB"] = 0
self.MainWindow.Save_Json_Fun()
def Cam_Del_BTN_Fn(self):
self.deleteLater()
ChildrenList = self.parent().children()
for i,child in enumerate(ChildrenList):
if i != 0:
if i > self.Num:
# Note 修正 child 的序号
child.Num -= 1
child.Cam_Num_Label.setText(u"镜头%s" % (i-1))
child.setObjectName("Cam_Item_%s" % (i-1))
else:
child.Cam_Num_Label.setText(u"镜头%s" % i)
child.setObjectName("Cam_Item_%s" % i)
self.Attr["Add_CamGrp_LE"] = ""
self.Attr["Add_Loc_LE"] = ""
self.Attr["Add_Crv_LE"] = ""
self.Attr["Add_Motion_Path_LE"] = ""
self.Attr["Strat_Time_SB"] = ""
self.Attr["End_Time_SB"] = ""
self.MainWindow.Save_Json_Fun()
| [
"2595715768@qq.com"
] | 2595715768@qq.com |
03d43e7eadc35e0ce127897a908e6e2af12eedee | 832eec4d9e618f9f3bdaeec259a79884283ac817 | /books/admin.py | 53abe34d35bd74067b5ad741bcf89a34861fc492 | [] | no_license | mconstantin/books-project | d0a5035014c9e61c5331b64b8879fce694e06540 | aa9acc64bf9a4bd654e98eaad5afbc23adbea312 | refs/heads/master | 2021-01-23T04:28:44.006164 | 2017-03-26T00:51:53 | 2017-03-26T00:51:53 | 86,197,860 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,202 | py | from django.contrib import admin
from .models import Publisher, Author, Book, BookCategory, BookFormat
# class BooksInLine(admin.StackedInline):
class BooksInLine(admin.TabularInline):
"""
Example of modifying the admin interface to show a list for a model in tabular form (multicolumn).
"""
model = Book
# add forms to add 2 additional books
extra = 2
# use 'fieldsets' to group the fields for the model, using a list of 2-tuples, where
# first tuple element is the name of the fieldset (or None for empty), and the second is a
# dictionary with 'fields' as the key and the list of model's fields as value.
fieldsets = [
(None, {'fields': ['title', 'authors']}),
("Publishing Information", {'fields': ['publisher', 'pub_date', 'isbn']}),
("Book Information", {'fields': ['format', 'category']})
]
# add a filter on the right-hand site
# Django sets predefined filters, e.g. last 7 days, etc.
list_filter = ['pub_date']
class PublisherAdmin(admin.ModelAdmin):
# list of display columns
list_display = ['name', 'website', 'published_books', 'address', 'city', 'state', 'country']
# 'fieldsets' grouping for an individual publisher
fieldsets = [
(None, {'fields': ['name', 'website']}),
('Address', {'fields': ['address', 'city', 'state', 'country']})
]
# for a specific publisher, show the list of (its published) books, using the 'BooksInLine' UI above
inlines = [BooksInLine]
list_filter = ['name', 'city']
class BookAdmin(admin.ModelAdmin):
model = Book
fieldsets = [
(None, {'fields': ['title', 'authors']}),
("Publishing Information", {'fields': ['publisher', 'pub_date', 'isbn']}),
("Book Information", {'fields': ['format', 'category']})
]
list_display = ['title', 'authors_names', 'publisher_name', 'pub_date', 'isbn']
list_filter = ['pub_date']
# register all the models with the corresponding new templates (if any), with the admin site
admin.site.register(Publisher, PublisherAdmin)
admin.site.register(Author)
admin.site.register(BookCategory)
admin.site.register(BookFormat)
admin.site.register(Book, BookAdmin) | [
"constantinm@sharplabs.com"
] | constantinm@sharplabs.com |
743e3a712fdca05eef0079ce7d5c9ebefe17394d | b3d655616ec8a7caa12e0c65d89519dd0b055802 | /prediction.ml/tensorflow/src/main/python/model_server_python3.py | e8e448693cfe25b3fc88faa93b08236dd6b3e5c4 | [
"Apache-2.0"
] | permissive | akram-mohammed/pipeline | 0d295e62ffa8bfc09896170d6fb5fa6efcde4a0a | 5d97c8c66b8157230f98db3b0d2b69e446864a2f | refs/heads/master | 2021-01-23T12:54:48.491126 | 2017-06-02T21:42:47 | 2017-06-02T21:42:47 | 93,211,853 | 1 | 1 | null | 2017-06-02T23:50:52 | 2017-06-02T23:50:52 | null | UTF-8 | Python | false | false | 10,982 | py | #!/usr/bin/env python3
import os
import sys
import tornado.ioloop
import tornado.web
import tornado.httpserver
import tornado.httputil
import tornado.gen
import importlib.util
from grpc.beta import implementations
import asyncio
import tensorflow as tf
import predict_pb2
import prediction_service_pb2
import tarfile
import subprocess
import logging
from tornado.options import define, options
from prometheus_client import start_http_server, Summary
from pio_model import PioRequestTransformer
from pio_model import PioResponseTransformer
from pio_model import PioModelInitializer
from pio_model import PioModel
define("PIO_MODEL_STORE_HOME", default="model_store", help="path to model_store", type=str)
define("PIO_MODEL_TYPE", default="", help="prediction model type", type=str)
define("PIO_MODEL_NAMESPACE", default="", help="prediction model namespace", type=str)
define("PIO_MODEL_NAME", default="", help="prediction model name", type=str)
define("PIO_MODEL_VERSION", default="", help="prediction model version", type=str)
define("PIO_MODEL_SERVER_PORT", default="9876", help="tornado http server listen port", type=int)
define("PIO_MODEL_SERVER_PROMETHEUS_PORT", default="8080", help="port to run the prometheus http metrics server on", type=int)
define("PIO_MODEL_SERVER_TENSORFLOW_SERVING_PORT", default="9000", help="port to run the prometheus http metrics server on", type=int)
# Create a metric to track time spent and requests made.
REQUEST_TIME = Summary('request_processing_seconds', 'Model Server: Time spent processing request')
REQUEST_TIME.observe(1.0) # Observe 1.0 (seconds in this case)
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
ch = logging.StreamHandler()
ch.setLevel(logging.DEBUG)
logger.addHandler(ch)
class Application(tornado.web.Application):
def __init__(self):
handlers = [
#(r"/", IndexHandler),
# url: /api/v1/model/predict/$PIO_MODEL_TYPE/$PIO_MODEL_NAMESPACE/$PIO_MODEL_NAME/$PIO_MODEL_VERSION/
(r"/api/v1/model/predict/([a-zA-Z\-0-9\.:,_]+)/([a-zA-Z\-0-9\.:,_]+)/([a-zA-Z\-0-9\.:,_]+)/([a-zA-Z\-0-9\.:,_]+)", ModelPredictTensorFlowHandler),
# TODO: Disable this if we're not explicitly in PIO_MODEL_ENVIRONMENT=dev mode
# url: /api/v1/model/deploy/$PIO_MODEL_TYPE/$PIO_MODEL_NAMESPACE/$PIO_MODEL_NAME/$PIO_MODEL_VERSION/
(r"/api/v1/model/deploy/([a-zA-Z\-0-9\.:,_]+)/([a-zA-Z\-0-9\.:,_]+)/([a-zA-Z\-0-9\.:,_]+)/([a-zA-Z\-0-9\.:,_]+)", ModelDeployTensorFlowHandler),
]
settings = dict(
model_store_path=options.PIO_MODEL_STORE_HOME,
model_type=options.PIO_MODEL_TYPE,
model_namespace=options.PIO_MODEL_NAMESPACE,
model_name=options.PIO_MODEL_NAME,
model_version=options.PIO_MODEL_VERSION,
model_server_port=options.PIO_MODEL_SERVER_PORT,
model_server_prometheus_server_port=options.PIO_MODEL_SERVER_PROMETHEUS_PORT,
model_server_tensorflow_serving_host='127.0.0.1',
model_server_tensorflow_serving_port=options.PIO_MODEL_SERVER_TENSORFLOW_SERVING_PORT,
template_path=os.path.join(os.path.dirname(__file__), "templates"),
static_path=os.path.join(os.path.dirname(__file__), "static"),
request_timeout=120,
debug=True,
autoescape=None,
)
tornado.web.Application.__init__(self, handlers, **settings)
def fallback(self):
logger.warn('Model Server Application fallback: %s' % self)
return 'fallback!'
class IndexHandler(tornado.web.RequestHandler):
@tornado.web.asynchronous
def get(self):
self.render("index.html")
class ModelPredictTensorFlowHandler(tornado.web.RequestHandler):
registry = {}
@REQUEST_TIME.time()
@tornado.web.asynchronous
def post(self, model_type, model_namespace, model_name, model_version):
(model_base_path, transformers_module) = self.get_model_assets(model_type,
model_namespace,
model_name,
model_version)
# TODO: Reuse instead of creating this channel everytime
channel = implementations.insecure_channel(self.settings['model_server_tensorflow_serving_host'],
int(self.settings['model_server_tensorflow_serving_port']))
stub = prediction_service_pb2.beta_create_PredictionService_stub(channel)
# Transform raw inputs to TensorFlow PredictRequest
transformed_inputs_request = transformers_module.transform_inputs(self.request.body)
transformed_inputs_request.model_spec.name = model_name
transformed_inputs_request.model_spec.version.value = int(model_version)
# Transform TensorFlow PredictResponse into output
outputs = stub.Predict(transformed_inputs_request, self.settings['request_timeout'])
transformed_outputs = transformers_module.transform_outputs(outputs)
self.write(transformed_outputs)
self.finish()
@REQUEST_TIME.time()
def get_model_assets(self, model_type, model_namespace, model_name, model_version):
model_key = '%s_%s_%s_%s' % (model_type, model_namespace, model_name, model_version)
if model_key not in self.registry:
model_base_path = self.settings['model_store_path']
model_base_path = os.path.expandvars(model_base_path)
model_base_path = os.path.expanduser(model_base_path)
model_base_path = os.path.abspath(model_base_path)
bundle_path = os.path.join(model_base_path, model_type)
bundle_path = os.path.join(bundle_path, model_namespace)
bundle_path = os.path.join(bundle_path, model_name)
bundle_path = os.path.join(bundle_path, model_version)
# TODO: remove filter + listdir - only need to check specific file
model_filenames = fnmatch.filter(os.listdir(bundle_path), "saved_model.pb")
if (len(model_filenames) == 0):
log.error("Invalid bundle. Please re-deploy a directory/bundle that contains 'saved_model.pb'" % model_name)
raise "Invalid bundle. Please re-deploy a directory/bundle that contains 'saved_model.pb'" % model_name
# Load model_io_transformers from model directory
transformers_module_name = 'model_io_transformers'
transformers_source_path = os.path.join(model_base_path, '%s.py' % transformers_module_name)
spec = importlib.util.spec_from_file_location(transformers_module_name, transformers_source_path)
transformers_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(transformers_module)
self.registry[model_key] = (model_base_path, transformers_module)
return self.registry[model_key]
class ModelDeployTensorFlowHandler(tornado.web.RequestHandler):
@REQUEST_TIME.time()
def post(self, model_type, model_namespace, model_name, model_version):
fileinfo = self.request.files['file'][0]
model_file_source_bundle_path = fileinfo['filename']
(_, filename) = os.path.split(model_file_source_bundle_path)
model_base_path = self.settings['model_store_path']
model_base_path = os.path.expandvars(model_base_path)
model_base_path = os.path.expanduser(model_base_path)
model_base_path = os.path.abspath(model_base_path)
bundle_path = os.path.join(model_base_path, model_type)
bundle_path = os.path.join(bundle_path, model_namespace)
bundle_path = os.path.join(bundle_path, model_name)
bundle_path = os.path.join(bundle_path, model_version)
bundle_path_filename = os.path.join(bundle_path, filename)
try:
os.makedirs(bundle_path, exist_ok=True)
with open(bundle_path_filename, 'wb+') as fh:
fh.write(fileinfo['body'])
print("")
print("%s uploaded %s, saved as %s" %
( str(self.request.remote_ip),
str(filename),
bundle_path_filename) )
print("")
print("Uploading and extracting bundle '%s' into '%s'..." % (filename, bundle_path))
print("")
with tarfile.open(bundle_path_filename, "r:gz") as tar:
tar.extractall(path=bundle_path)
print("")
print("...Done!")
print("")
logger.info('Installing bundle and updating environment...\n')
# TODO: Restart TensorFlow Model Serving and point to bundle_path_with_model_name
#completed_process = subprocess.run('cd %s && ./install.sh' % bundle_path,
completed_process = subprocess.run('cd %s && [ -s ./requirements_conda.txt ] && conda install --yes --file ./requirements_conda.txt' % bundle_path,
timeout=600,
shell=True,
stdout=subprocess.PIPE)
completed_process = subprocess.run('cd %s && [ -s ./requirements.txt ] && pip install -r ./requirements.txt' % bundle_path,
timeout=600,
shell=True,
stdout=subprocess.PIPE)
logger.info('...Done!')
except IOError as e:
print('Failed to write file due to IOError %s' % str(e))
self.write('Failed to write file due to IOError %s' % str(e))
raise e
def write_error(self, status_code, **kwargs):
self.write('Error %s' % status_code)
if "exc_info" in kwargs:
self.write(", Exception: %s" % kwargs["exc_info"][0].__name__)
def main():
# Start up a web server to expose request made and time spent metrics to Prometheus
# TODO: Potentially expose metrics to Prometheus using the Tornado HTTP server as long as it's not blocking
# See the MetricsHandler class which provides a BaseHTTPRequestHandler
# https://github.com/prometheus/client_python/blob/ce5542bd8be2944a1898e9ac3d6e112662153ea4/prometheus_client/exposition.py#L79
logger.info("Starting Prometheus Http Server on port '%s'" % options.PIO_MODEL_SERVER_PROMETHEUS_PORT)
start_http_server(int(options.PIO_MODEL_SERVER_PROMETHEUS_PORT))
logger.info("Starting Model Predict and Deploy Http Server on port '%s'" % options.PIO_MODEL_SERVER_PORT)
http_server = tornado.httpserver.HTTPServer(Application())
http_server.listen(int(options.PIO_MODEL_SERVER_PORT))
tornado.ioloop.IOLoop.current().start()
if __name__ == '__main__':
main()
| [
"chris@fregly.com"
] | chris@fregly.com |
7788549a3662ca1e2a17c904ac5f22ecd49ac69b | 67416177cd9e221db0b20332c02dcc7680fcdd0e | /이것이 취업을 위한 코딩 테스트다/Chapter06_Sorting/Q02.py | 5f904fd8060abd698a7a21fca906fefb6368fa34 | [] | no_license | svclaw2000/Algorithm | 4fe5e3bf50888b974df4f3d87387a003b5249352 | b6d92cf0d18997e9e973d5f731ecb44a7935d93a | refs/heads/main | 2023-06-21T21:50:13.089719 | 2021-07-11T14:18:47 | 2021-07-11T14:18:47 | 363,825,838 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 181 | py | # 00:02 / 00:20
N = int(input())
student = []
for _ in range(N):
inp = input().split()
student.append((int(inp[1]), inp[0]))
student.sort()
print(*[s[1] for s in student]) | [
"svclaw2000@gmail.com"
] | svclaw2000@gmail.com |
24e45112ef804b859c5fac4694945f26f9faf26d | f1738cd603e0b2e31143f4ebf7eba403402aecd6 | /ucs/test/ucs-test/tests/52_s4connector/s4connector.py | 4931adb730b3043036fbd0357bf0b3e45c5f64b7 | [] | no_license | m-narayan/smart | 92f42bf90d7d2b24f61915fac8abab70dd8282bc | 1a6765deafd8679079b64dcc35f91933d37cf2dd | refs/heads/master | 2016-08-05T17:29:30.847382 | 2013-01-04T04:50:26 | 2013-01-04T04:50:26 | 7,079,786 | 8 | 6 | null | 2015-04-29T08:54:12 | 2012-12-09T14:56:27 | Python | UTF-8 | Python | false | false | 3,597 | py | import ldap
import univention.config_registry
from ldap.controls import LDAPControl
import ldap.modlist as modlist
import time
import ldap_glue_s4
import univention.s4connector.s4 as s4
configRegistry = univention.config_registry.ConfigRegistry()
configRegistry.load()
class S4Connection(ldap_glue_s4.LDAPConnection):
'''helper functions to modify AD-objects'''
def __init__(self, configbase='connector', no_starttls=False):
self.configbase = configbase
self.adldapbase = configRegistry['%s/s4/ldap/base' % configbase]
self.addomain = self.adldapbase.replace (',DC=', '.').replace ('DC=', '')
self.login_dn = configRegistry['%s/s4/ldap/binddn' % configbase]
self.pw_file = configRegistry['%s/s4/ldap/bindpw' % configbase]
self.host = configRegistry['%s/s4/ldap/host' % configbase]
self.port = configRegistry['%s/s4/ldap/port' % configbase]
self.ssl = configRegistry.get('%s/s4/ldap/ssl', "no")
self.ca_file = configRegistry['%s/s4/ldap/certificate' % configbase]
self.protocol = configRegistry.get('%s/s4/ldap/protocol' % self.configbase, 'ldap').lower()
self.socket = configRegistry.get('%s/s4/ldap/socket' % self.configbase, '')
self.connect (no_starttls)
def createuser(self, username, position=None, cn=None, sn=None, description=None):
if not position:
position = 'cn=users,%s' % self.adldapbase
if not cn:
cn = username
if not sn:
sn = 'SomeSurName'
newdn = 'cn=%s,%s' % (cn, position)
attrs = {}
attrs['objectclass'] = ['top', 'user', 'person', 'organizationalPerson']
attrs['cn'] = cn
attrs['sn'] = sn
attrs['sAMAccountName'] = username
attrs['userPrincipalName'] = '%s@%s' % (username, self.addomain)
attrs['displayName'] = '%s %s' % (username, sn)
if description:
attrs['description'] = description
self.create(newdn, attrs)
def group_create(self, groupname, position=None, description=None):
if not position:
position = 'cn=groups,%s' % self.adldapbase
attrs = {}
attrs['objectclass'] = ['top', 'group']
attrs['sAMAccountName'] = groupname
if description:
attrs['description'] = description
self.create('cn=%s,%s' % (groupname, position), attrs)
def getprimarygroup(self, user_dn):
try:
res = self.lo.search_ext_s(user_dn, ldap.SCOPE_BASE, timeout=10)
except:
return None
primaryGroupID = res[0][1]['primaryGroupID'][0]
res = self.lo.search_ext_s(self.adldapbase,
ldap.SCOPE_SUBTREE,
'objectClass=group'.encode ('utf8'),
timeout=10)
import re
regex = '^(.*?)-%s$' % primaryGroupID
for r in res:
if r[0] == None or r[0] == 'None':
continue # Referral
if re.search (regex, s4.decode_sid(r[1]['objectSid'][0])):
return r[0]
def setprimarygroup(self, user_dn, group_dn):
res = self.lo.search_ext_s(group_dn, ldap.SCOPE_BASE, timeout=10)
import re
groupid = (re.search ('^(.*)-(.*?)$', s4.decode_sid (res[0][1]['objectSid'][0]))).group (2)
self.set_attribute (user_dn, 'primaryGroupID', groupid)
def container_create(self, name, position=None, description=None):
if not position:
position = self.adldapbase
attrs = {}
attrs['objectClass'] = ['top', 'container']
attrs['cn'] = name
if description:
attrs['description'] = description
self.create('cn=%s,%s' % (name, position), attrs)
def createou(self, name, position=None, description=None):
if not position:
position = self.adldapbase
attrs = {}
attrs['objectClass'] = ['top', 'organizationalUnit']
attrs['ou'] = name
if description:
attrs['description'] = description
self.create('ou=%s,%s' % (name, position), attrs)
| [
"kartik@debian.org"
] | kartik@debian.org |
b5c44cbbab50c96d3ed02f99623993dae708a4fa | fce280d1a9ef78784d28409c47865ec92402fad4 | /019Echarts/Demo_Geo.py | b5e92a127be827c15759193c16ca3deb9aa35c9c | [] | no_license | angus138/--- | 204fa9f5713fc3cee1ec814b0d600e5e4f413ab1 | 39ea3e51f32e093c01afae6984363afaaa5e120f | refs/heads/master | 2020-12-12T13:39:56.871807 | 2020-01-15T11:06:20 | 2020-01-15T11:06:20 | 234,139,575 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,126 | py | # coding:utf-8
"""
create on Jan 2, 2020 By Wayne Yu
Function:
基于Pyecharts的Geo图
"""
from pyecharts.faker import Faker
from pyecharts import options as opts
from pyecharts.charts import Geo
from pyecharts.globals import ChartType, SymbolType
from pyecharts.charts import Map
def geo_base() -> Geo:
c = (
Geo()
.add_schema(maptype="china")
.add("geo", [list(z) for z in zip(Faker.provinces, Faker.values())])
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(),
title_opts=opts.TitleOpts(title="Geo-基本示例"),
)
)
return c
def map_world() -> Map:
c = (
Map()
.add("商家A", [list(z) for z in zip(Faker.country, Faker.values())], "world")
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
title_opts=opts.TitleOpts(title="Map-世界地图"),
visualmap_opts=opts.VisualMapOpts(max_=200),
)
)
return c
map_world().render("world_2D_render.html")
| [
"ieeflsyu@outlook.com"
] | ieeflsyu@outlook.com |
4f5f46a2c9ca7140338f82554c8064b407e1d2d1 | 3d7039903da398ae128e43c7d8c9662fda77fbdf | /database/CSS/juejin_1727.py | f64f660ab9993897acb4bd4196895de5b9c70bcc | [] | no_license | ChenYongChang1/spider_study | a9aa22e6ed986193bf546bb567712876c7be5e15 | fe5fbc1a5562ff19c70351303997d3df3af690db | refs/heads/master | 2023-08-05T10:43:11.019178 | 2021-09-18T01:30:22 | 2021-09-18T01:30:22 | 406,727,214 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 69,429 | py | {"err_no": 0, "err_msg": "success", "data": [{"article_id": "6897739815920500743", "article_info": {"article_id": "6897739815920500743", "user_id": "3790771822799240", "category_id": "6809637767543259144", "tag_ids": [6809640394175971342], "visible_level": 0, "link_url": "", "cover_image": "", "is_gfw": 0, "title": "一篇文章带你了解CSS3按钮知识", "brief_content": "在实际开发中，按钮的应用是必不可少。使用CSS来制作按钮，可以更有新意，更有趣，也可以自定义自己想要的样式。一、平面样式CSS按钮平面样式按钮的使用现在非常流行，并且符合无处不在的平面设计趋势。，这些", "is_english": 0, "is_original": 1, "user_index": 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"https://sf1-ttcdn-tos.pstatp.com/img/user-avatar/959bb66b4d7e6c28e4eeddee3617c9ea~300x300.image", "level": 1, "description": "", "followee_count": 1, "follower_count": 1, "post_article_count": 1, "digg_article_count": 0, "got_digg_count": 2, "got_view_count": 274, "post_shortmsg_count": 0, "digg_shortmsg_count": 0, "isfollowed": false, "favorable_author": 0, "power": 4, "study_point": 0, "university": {"university_id": "0", "name": "", "logo": ""}, "major": {"major_id": "0", "parent_id": "0", "name": ""}, "student_status": 0, "select_event_count": 0, "select_online_course_count": 0, "identity": 0, "is_select_annual": false, "select_annual_rank": 0, "annual_list_type": 0, "extraMap": {}, "is_logout": 0}, "category": {"category_id": "6809637767543259144", "category_name": "前端", "category_url": "frontend", "rank": 2, "back_ground": "https://lc-mhke0kuv.cn-n1.lcfile.com/8c95587526f346c0.png", "icon": "https://lc-mhke0kuv.cn-n1.lcfile.com/1c40f5eaba561e32.png", "ctime": 1457483942, "mtime": 1432503190, "show_type": 3, "item_type": 2, "promote_tag_cap": 4, "promote_priority": 2}, "tags": [{"id": 2546516, "tag_id": "6809640394175971342", "tag_name": "CSS", "color": "#244DE4", "icon": "https://p1-jj.byteimg.com/tos-cn-i-t2oaga2asx/leancloud-assets/66de0c4eb9d10130d5bf.png~tplv-t2oaga2asx-image.image", "back_ground": "", "show_navi": 0, "ctime": 1432239426, "mtime": 1631688735, "id_type": 9, "tag_alias": "", "post_article_count": 14981, "concern_user_count": 297034}], "user_interact": {"id": 6919744194428796941, "omitempty": 2, "user_id": 0, "is_digg": false, "is_follow": false, "is_collect": false}, "org": {"org_info": null, "org_user": null, "is_followed": false}, "req_id": "202109151604300102121660811B004064"}], "cursor": "eyJ2IjoiNzAwNzgwMzIxNDc1ODE1MDE3NSIsImkiOjM0ODB9", "count": 4601, "has_more": true} | [
"www.1759633997@qq.com"
] | www.1759633997@qq.com |
305c1d5c727d5961cbda6d9218376a6e0b1f7e8c | 7944d2fd5d885a034347a986f3114f0b81166447 | /facebookads/adobjects/transactioncurrencyamount.py | a8258dea5f141931966835b4349ea71a84f93500 | [] | no_license | it-devros/django-facebook-api | 4fd94d1bbbff664f0314e046f50d91ee959f5664 | ee2d91af49bc2be116bd10bd079c321bbf6af721 | refs/heads/master | 2021-06-23T06:29:07.664905 | 2019-06-25T07:47:50 | 2019-06-25T07:47:50 | 191,458,626 | 2 | 0 | null | 2021-06-10T21:33:08 | 2019-06-11T22:22:47 | Python | UTF-8 | Python | false | false | 1,864 | py | # Copyright 2014 Facebook, Inc.
# You are hereby granted a non-exclusive, worldwide, royalty-free license to
# use, copy, modify, and distribute this software in source code or binary
# form for use in connection with the web services and APIs provided by
# Facebook.
# As with any software that integrates with the Facebook platform, your use
# of this software is subject to the Facebook Developer Principles and
# Policies [http://developers.facebook.com/policy/]. This copyright notice
# shall be included in all copies or substantial portions of the software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
from facebookads.adobjects.abstractobject import AbstractObject
"""
This class is auto-generated.
For any issues or feature requests related to this class, please let us know on
github and we'll fix in our codegen framework. We'll not be able to accept
pull request for this class.
"""
class TransactionCurrencyAmount(
AbstractObject,
):
def __init__(self, api=None):
super(TransactionCurrencyAmount, self).__init__()
self._isTransactionCurrencyAmount = True
self._api = api
class Field(AbstractObject.Field):
amount = 'amount'
currency = 'currency'
total_amount = 'total_amount'
_field_types = {
'amount': 'string',
'currency': 'string',
'total_amount': 'string',
}
@classmethod
def _get_field_enum_info(cls):
field_enum_info = {}
return field_enum_info
| [
"it-devros@outlook.com"
] | it-devros@outlook.com |
1fbaf1949e4010bbf72b7c8c23c1bcba96b43012 | 0b9e588b3d6ddf95d87a0a0f02d10ef6efcccf51 | /eduapi/analytics/models.py | d9d7a52d0e60648209033a8328d81b20c002dbb3 | [] | no_license | omni360/inspiration-edu-api | b5d07a7fe3a473689d5323e60e6f88dd3d6fb4cb | 6e1bbf8d895082d4c44af4ae35b9f5aa5cc9addc | refs/heads/master | 2022-01-22T23:30:09.879433 | 2016-04-28T02:02:46 | 2016-04-28T02:02:46 | 57,559,736 | 0 | 0 | null | 2022-01-06T22:24:03 | 2016-05-01T06:35:12 | Python | UTF-8 | Python | false | false | 30 | py | from api.models import Project | [
"frida.cai@autodesk.com"
] | frida.cai@autodesk.com |
ff93921ebd8c703b4a92793b7feac4e91c7c11f6 | b05761d771bb5a85d39d370c649567c1ff3eb089 | /venv/lib/python3.10/site-packages/google/protobuf/unknown_fields.py | 172028c1fce1769a75be9b83aa83ec41ca749cf7 | [] | no_license | JawshyJ/Coding_Practice | 88c49cab955eab04609ec1003b6b8c20f103fc06 | eb6b229d41aa49b1545af2120e6bee8e982adb41 | refs/heads/master | 2023-02-19T10:18:04.818542 | 2023-02-06T21:22:58 | 2023-02-06T21:22:58 | 247,788,631 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 96 | py | /home/runner/.cache/pip/pool/b0/c6/91/ac8a4d83d0130a6cf50b629b1194b74f0949be3b5bca5aa9b102cfcf97 | [
"37465112+JawshyJ@users.noreply.github.com"
] | 37465112+JawshyJ@users.noreply.github.com |
6306d40d8de8fa5309662dd4786bb511bd60a1f6 | 4182f5c371c15b8f79bc744b8bed0965ffd13c79 | /backend/pytx/views.py | fc5d4aa8a7a85c01fd20e630902f9ff9259702e4 | [] | no_license | pytexas/PyTexas2015 | f4db37a7d43ee523272311139f480189ecba02cd | f4648581a197e2f9387f61c2b94a8f178298becc | refs/heads/master | 2021-05-30T18:47:47.431250 | 2015-11-21T20:52:43 | 2015-11-21T20:52:43 | 17,159,683 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 914 | py | import os
import subprocess
from django import http
from django.views import static
from django.conf import settings
from pytx.utils import index_generator
def favicon(request):
return static.serve(request, 'favicon.ico', settings.FRONT_ROOT)
def default_conf(request):
return http.HttpResponseRedirect(settings.DEFAULT_CONF + '/')
def index(request, conf_slug):
conf_slug = conf_slug.split('/')[0]
html = index_generator(conf_slug, dev=True)
return http.HttpResponse(html)
def less_view(request):
less = os.path.join(settings.BASE_DIR, '..', 'frontend', 'css', 'pytx.less')
pipe = subprocess.Popen(
"lessc {}".format(less),
shell=True,
stdout=subprocess.PIPE)
return http.HttpResponse(pipe.stdout, content_type="text/css")
def frontend(request, *args, **kwargs):
return http.HttpResponse(
"Front-End Should Serve This URL",
content_type="text/plain")
| [
"paul.m.bailey@gmail.com"
] | paul.m.bailey@gmail.com |
a6faf47fb558554f6674362748930f2d99227172 | 83de24182a7af33c43ee340b57755e73275149ae | /aliyun-python-sdk-sae/aliyunsdksae/request/v20190506/UpdateNamespaceRequest.py | dccc5256a59542e159be6e9d83c4f970cab07b3c | [
"Apache-2.0"
] | permissive | aliyun/aliyun-openapi-python-sdk | 4436ca6c57190ceadbc80f0b1c35b1ab13c00c7f | 83fd547946fd6772cf26f338d9653f4316c81d3c | refs/heads/master | 2023-08-04T12:32:57.028821 | 2023-08-04T06:00:29 | 2023-08-04T06:00:29 | 39,558,861 | 1,080 | 721 | NOASSERTION | 2023-09-14T08:51:06 | 2015-07-23T09:39:45 | Python | UTF-8 | Python | false | false | 2,483 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from aliyunsdkcore.request import RoaRequest
from aliyunsdksae.endpoint import endpoint_data
class UpdateNamespaceRequest(RoaRequest):
def __init__(self):
RoaRequest.__init__(self, 'sae', '2019-05-06', 'UpdateNamespace','serverless')
self.set_uri_pattern('/pop/v1/paas/namespace')
self.set_method('PUT')
if hasattr(self, "endpoint_map"):
setattr(self, "endpoint_map", endpoint_data.getEndpointMap())
if hasattr(self, "endpoint_regional"):
setattr(self, "endpoint_regional", endpoint_data.getEndpointRegional())
def get_NamespaceName(self): # String
return self.get_query_params().get('NamespaceName')
def set_NamespaceName(self, NamespaceName): # String
self.add_query_param('NamespaceName', NamespaceName)
def get_NamespaceDescription(self): # String
return self.get_query_params().get('NamespaceDescription')
def set_NamespaceDescription(self, NamespaceDescription): # String
self.add_query_param('NamespaceDescription', NamespaceDescription)
def get_EnableMicroRegistration(self): # Boolean
return self.get_query_params().get('EnableMicroRegistration')
def set_EnableMicroRegistration(self, EnableMicroRegistration): # Boolean
self.add_query_param('EnableMicroRegistration', EnableMicroRegistration)
def get_NamespaceId(self): # String
return self.get_query_params().get('NamespaceId')
def set_NamespaceId(self, NamespaceId): # String
self.add_query_param('NamespaceId', NamespaceId)
def get_NameSpaceShortId(self): # String
return self.get_query_params().get('NameSpaceShortId')
def set_NameSpaceShortId(self, NameSpaceShortId): # String
self.add_query_param('NameSpaceShortId', NameSpaceShortId)
| [
"sdk-team@alibabacloud.com"
] | sdk-team@alibabacloud.com |
ed26c4174c273e492eba64f98d9537ec1ad20864 | f3d38d0e1d50234ce5f17948361a50090ea8cddf | /CodeUp/파이썬 풀이/1230번 ; 터널 통과하기 2.py | 3d02cf7a4fd78a7e1ee60df5860d0451ae9e76c7 | [] | no_license | bright-night-sky/algorithm_study | 967c512040c183d56c5cd923912a5e8f1c584546 | 8fd46644129e92137a62db657187b9b707d06985 | refs/heads/main | 2023-08-01T10:27:33.857897 | 2021-10-04T14:36:21 | 2021-10-04T14:36:21 | 323,322,211 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,574 | py | # https://codeup.kr/problem.php?id=1230
# readline을 사용하기 위해 import합니다.
from sys import stdin
# 세 터널의 높이 a, b, c를 공백으로 구분해 입력합니다.
# 각각 int형으로 변환합니다.
a, b, c = map(int, stdin.readline().split())
# 세 터널의 높이 a, b, c를 차례대로 170 보다 큰 지 검사해봅니다.
# 첫 번째 터널의 높이가 170 초과라면
if a > 170:
# 두 번째 터널의 높이가 170 초과라면
if b > 170:
# 세 번째 터널의 높이가 170 초과라면
if c > 170:
# 세 터널 모두 170 초과이므로 차가 잘 통과합니다.
# 문자열 'PASS'를 출력합니다.
print('PASS')
# 첫 번째, 두 번째 터널은 통과했는데
# 세 번째 터널의 높이가 170 이하라면
else:
# 세 번째 터널에서 사고가 나므로 문자열 'CRASH'와
# 세 번째 터널의 높이 c값을 공백으로 구분해 출력합니다.
print('CRASH', c)
# 첫 번째 터널은 통과했는데
# 두 번째 터널의 높이가 170 이하라면
else:
# 두 번째 터널에서 사고가 나므로 문자열 'CRASH'와
# 두 번째 터널의 높이 b값을 공백으로 구분해 출력합니다.
print('CRASH', b)
# 첫 번째 터널의 높이가 170 이하라면
else:
# 첫 번째 터널에서 사고가 나므로 문자열 'CRASH'와
# 첫 번째 터널의 높이 a값을 공백으로 구분해 출력합니다.
print('CRASH', a) | [
"bright_night_sky@naver.com"
] | bright_night_sky@naver.com |
a19e8ca6e4d0aacdea80fd56b4f663d4369843c5 | 9795dda526b3436de26c73353021a0651a6762f9 | /pyefun/typeConv.py | 6d16e72c8caf0defa6bb38fc430f6bf3af2868de | [
"Apache-2.0"
] | permissive | brucekk4/pyefun | 891fc08897e4662823cf9016a680c07b31a8d5be | 1b4d8e13ee2c59574fded792e3f2a77e0b5e11a2 | refs/heads/master | 2023-07-10T03:54:11.437283 | 2021-08-23T17:46:19 | 2021-08-23T17:46:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 566 | py | """
.. Hint::
类型转换
.. literalinclude:: ../../../pyefun/typeConv_test.py
:language: python
:caption: 代码示例
:linenos:
"""
from .timeBase import *
import json
def 到文本(bytes):
return str(bytes, encoding="utf-8")
def 到字节集(str):
return bytes(str, encoding='utf-8')
def 到数值(val):
return float(val)
def 到整数(val):
return int(float(val))
def 到时间(str):
return 创建日期时间(str)
def json到文本(obj):
return json.dumps(obj)
def json解析(obj):
return json.loads(obj) | [
"ll@163.com"
] | ll@163.com |
41017bba584e3df78520c70725466e1e02d28e2d | ad0e853db635edc578d58891b90f8e45a72a724f | /python/ray/train/lightning/__init__.py | a827dcd064ab3cc2b3b8ce362535db6e20395342 | [
"BSD-3-Clause",
"MIT",
"Apache-2.0"
] | permissive | ericl/ray | 8c93fc713af3b753215d4fe6221278700936e2db | e9a1c6d814fb1a81033809f56695030d651388f5 | refs/heads/master | 2023-08-31T11:53:23.584855 | 2023-06-07T21:04:28 | 2023-06-07T21:04:28 | 91,077,004 | 2 | 4 | Apache-2.0 | 2023-01-11T17:19:10 | 2017-05-12T09:51:04 | Python | UTF-8 | Python | false | false | 638 | py | # isort: off
try:
import pytorch_lightning # noqa: F401
except ModuleNotFoundError:
raise ModuleNotFoundError(
"PyTorch Lightning isn't installed. To install PyTorch Lightning, "
"please run 'pip install pytorch-lightning'"
)
# isort: on
from ray.train.lightning.lightning_checkpoint import LightningCheckpoint
from ray.train.lightning.lightning_predictor import LightningPredictor
from ray.train.lightning.lightning_trainer import (
LightningTrainer,
LightningConfigBuilder,
)
__all__ = [
"LightningTrainer",
"LightningConfigBuilder",
"LightningCheckpoint",
"LightningPredictor",
]
| [
"noreply@github.com"
] | ericl.noreply@github.com |
b73ea34e6add92014bf1249f36194a4bccd11194 | 6921b29c09905e910c97c799fdb1c5249dff0274 | /pyocd/coresight/gpr.py | b0ecaff545f1a43b824d27b15bc33ad403f98186 | [
"Apache-2.0"
] | permissive | huaqli/pyOCD | b476a0d58cf55cc4855bea33b2c7a3afc37f7f35 | ee8324de9e0219a0e6e28e686c81fa5af3637479 | refs/heads/master | 2022-04-16T17:22:33.861865 | 2020-04-20T16:44:07 | 2020-04-20T16:44:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,215 | py | # pyOCD debugger
# Copyright (c) 2018 Arm Limited
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .component import CoreSightComponent
from ..utility.timeout import Timeout
ACK_TIMEOUT = 5.0
class GPR(CoreSightComponent):
"""! @brief Granular Power Requestor.
Currently only supports enabling power domains.
"""
CPWRUPREQ = 0x0
CPWRUPACK = 0x0
CPWRUPM_COUNT_MASK = 0x3f
@classmethod
def factory(cls, ap, cmpid, address):
# Attempt to return the same instance that was created during ROM table scanning.
if cmpid.parent_rom_table is not None:
rom_gpr = cmpid.parent_rom_table.gpr
if rom_gpr is not None and rom_gpr.address == address:
return rom_gpr
# No luck, create a new instance.
gpr = cls(ap, cmpid, address)
return gpr
def __init__(self, ap, cmpid=None, addr=None):
super(GPR, self).__init__(ap, cmpid, addr)
def init(self):
"""! @brief Inits the GPR."""
self.domain_count = self.cmpid.devid[2] & self.CPWRUPM_COUNT_MASK
def _power_up(self, mask):
"""! @brief Enable power to a power domaind by mask.
@param self
@param mask Bitmask of the domains to power up.
@retval True Requested domains were successfully powered on.
@return False Timeout waiting for power ack bit(s) to set.
"""
# Enable power up request bits.
self.ap.write32(self.address + self.CPWRUPREQ, mask)
# Wait for ack bits to set.
with Timeout(ACK_TIMEOUT) as t_o:
while t_o.check():
value = self.ap.read32(self.address + self.CPWRUPACK)
if (value & mask) == mask:
return True
else:
return False
def power_up_all(self):
"""! @brief Enable power to all available power domains.
@param self
@retval True All domains were successfully powered on.
@return False Timeout waiting for power ack bit(s) to set.
"""
mask = (1 << self.domain_count) - 1
return self._power_up(mask)
def power_up_one(self, domain_id):
"""! @brief Power up a single power domain by domain ID.
@param self
@param domain_id Integer power domain ID.
@retval True Requested domain was powered on successfully.
@return False Timeout waiting for power ack bit to set.
"""
mask = 1 << domain_id
return self._power_up(mask)
def __repr__(self):
return "<GPR @ %x: count=%d>" % (id(self), self.domain_count)
| [
"flit@me.com"
] | flit@me.com |
69c02c736463a9b65e274fce99476ca679810c4f | 2603f28e3dc17ae2409554ee6e1cbd315a28b732 | /ABC181/prob_d.py | 4907374640a893c516218398622363e984976b2f | [] | no_license | steinstadt/AtCoder | 69f172280e89f4249e673cae9beab9428e2a4369 | cd6c7f577fcf0cb4c57ff184afdc163f7501acf5 | refs/heads/master | 2020-12-23T12:03:29.124134 | 2020-11-22T10:47:40 | 2020-11-22T10:47:40 | 237,144,420 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,389 | py | # Problem D - Hachi
from itertools import permutations
# input
S = list(input())
# initialization
ans = False
def conv_nums(nums):
num_list = [0] * 10
conv_result = []
for n in nums:
num_list[n] += 1
for i in range(1, 10):
if num_list[i]==0:
continue
if num_list[i]>3:
num_list[i] = 3
for j in range(num_list[i]):
conv_result.append(str(i))
return conv_result
def check_eight(num):
if not num%2==0:
return False
tmp_1 = num // 2
tmp_1 = str(tmp_1)
tmp_1 = int(tmp_1[-2] + tmp_1[-1])
if not tmp_1%4==0:
return False
return True
# check
if len(S)==1:
tmp = int(S[0])
if tmp%8==0:
ans = True
elif len(S)==2:
tmp = int(S[0] + S[1])
if tmp%8==0:
ans = True
tmp = int(S[1] + S[0])
if tmp%8==0:
ans = True
else:
T = list(map(int, S))
T = conv_nums(T) # 数字の集合をまとめる
T_len = len(T)
for i in range(T_len-2):
for j in range(i+1, T_len-1):
for k in range(j+1, T_len):
tmp_list = [T[i], T[j], T[k]]
for tmp_p in permutations(tmp_list):
check_result = check_eight(int("".join(tmp_p)))
if check_result:
ans = True
# output
if ans:
print("Yes")
else:
print("No")
| [
"steinstadt@keio.jp"
] | steinstadt@keio.jp |
a5e75047a5d44c391ab9fe5a3c6909b31a774f11 | 0f54a2a03fba8e231bfd2a14785a7f091b4b88ac | /WeeklyProcessor/3. Analysing & Cleaning Content/column_cleaners/business_cleaner.py | 6d08b30c9eb7d94fa33c09233a891de80532a431 | [] | no_license | LukaszMalucha/WeeklyProcessor | ced08869397e54fb7c0a26a53a760c74868942c8 | b9c787248f41f6a30e34c4c13db08ce4d0834f52 | refs/heads/master | 2022-06-01T08:40:25.377037 | 2020-05-03T18:13:21 | 2020-05-03T18:13:21 | 243,991,681 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 637 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 19 17:55:52 2020
@author: jmalucl
"""
def business_cleaner(dataset):
dataset['Business'].fillna("Not Specified")
# REMOVE (OTHER CHOICES AVAILABLE)
dataset['Business'] = dataset['Business'].str.replace("other choices available", "")
dataset['Business'] = dataset['Business'].str.replace("\(", "")
dataset['Business'] = dataset['Business'].str.replace("\)", "")
dataset['Business'] = dataset['Business'].str.strip()
dataset['business'] = dataset['Business']
dataset = dataset.drop(['Business'], axis=1)
return dataset
| [
"lucasmalucha@gmail.com"
] | lucasmalucha@gmail.com |
1a15250cb5546c6b48ee83829dba429154c20d41 | c9bb8998bde76bf88117a5d8f710621cd824df14 | /tests/cupy_tests/cuda_tests/test_driver.py | fbc1e33d94198e127f8636923c068e6bf7df5cd6 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | hephaex/cupy | 4a0d8198b889a26d9b958ec9c31346ec58598e49 | 5cf50a93bbdebe825337ed7996c464e84b1495ba | refs/heads/master | 2020-06-06T18:55:49.827170 | 2019-06-19T21:00:21 | 2019-06-19T21:00:21 | 192,827,521 | 1 | 0 | MIT | 2019-06-20T01:28:56 | 2019-06-20T01:28:56 | null | UTF-8 | Python | false | false | 990 | py | import threading
import unittest
import cupy
from cupy.cuda import driver
class TestDriver(unittest.TestCase):
def test_ctxGetCurrent(self):
# Make sure to create context.
cupy.arange(1)
self.assertNotEqual(0, driver.ctxGetCurrent())
def test_ctxGetCurrent_thread(self):
# Make sure to create context in main thread.
cupy.arange(1)
def f(self):
self._result0 = driver.ctxGetCurrent()
cupy.arange(1)
self._result1 = driver.ctxGetCurrent()
self._result0 = None
self._result1 = None
t = threading.Thread(target=f, args=(self,))
t.daemon = True
t.start()
t.join()
# The returned context pointer must be NULL on sub thread
# without valid context.
self.assertEqual(0, self._result0)
# After the context is created, it should return the valid
# context pointer.
self.assertNotEqual(0, self._result1)
| [
"webmaster@kenichimaehashi.com"
] | webmaster@kenichimaehashi.com |
6c3187ec0a176e1dda16a1d8fa32a1350f49b595 | e1c14c3b3ed552f1af97f427c342be70d8e3b27f | /src/yMaths/print-combinations-integers-sum-given-number.py | d21539fee7022d456e69899e5a0e5284fbccefa3 | [
"MIT"
] | permissive | mohitsaroha03/The-Py-Algorithms | 4ab7285b6ea2ce0a008203b425ec3f459995664b | b5ba58602c0ef02c7664ea0be8bf272a8bd5239c | refs/heads/master | 2023-01-28T09:25:33.317439 | 2020-12-05T06:17:00 | 2020-12-05T06:17:00 | 280,189,627 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 962 | py | # Link: https://www.techiedelight.com/print-combinations-integers-sum-given-number/
# IsDone: 1
# Recursive function to print all combination of positive integers
# in increasing order that sum to a given number
def printCombinations(A, i, sum, sum_left):
# To maintain the increasing order, start the loop from
# previous number stored in A
prev_num = A[i - 1] if (i > 0) else 1
for k in range(prev_num, sum + 1):
# set next element of the list to k
A[i] = k
# recur with the sum left and next location in the list
if sum_left > k:
printCombinations(A, i + 1, sum, sum_left - k)
# if sum is found
if sum_left == k:
print(A[:i+1])
# Wrapper over printCombinations() function
def findCombinations(sum):
# create a temporary list for storing the combinations
A = [0] * sum
# recur for all combinations
starting_index = 0
printCombinations(A, starting_index, sum, sum)
if __name__ == '__main__':
sum = 5
findCombinations(sum) | [
"MohitSaroha@Etechaces.com"
] | MohitSaroha@Etechaces.com |
0b2fd01ae9041f32ba9b913c03009fd5954e14ec | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02574/s478211086.py | e348f33b7bcd5b939cd80827f0dd178d0a30ffa6 | [] | 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 | 2,119 | py | from math import gcd
from functools import reduce
from collections import defaultdict
n=int(input())
a=list(map(int,input().split()))
g=reduce(gcd,a)
if g!=1:
print("not coprime")
exit()
def isPrimeMR(n):
d = n - 1
d = d // (d & -d)
L = [2]
for a in L:
t = d
y = pow(a, t, n)
if y == 1: continue
while y != n - 1:
y = (y * y) % n
if y == 1 or t == n - 1: return 0
t <<= 1
return 1
def findFactorRho(n):
m = 1 << n.bit_length() // 8
for c in range(1, 99):
f = lambda x: (x * x + c) % n
y, r, q, g = 2, 1, 1, 1
while g == 1:
x = y
for i in range(r):
y = f(y)
k = 0
while k < r and g == 1:
ys = y
for i in range(min(m, r - k)):
y = f(y)
q = q * abs(x - y) % n
g = gcd(q, n)
k += m
r <<= 1
if g == n:
g = 1
while g == 1:
ys = f(ys)
g = gcd(abs(x - ys), n)
if g < n:
if isPrimeMR(g): return g
elif isPrimeMR(n // g): return n // g
return findFactorRho(g)
def primeFactor(n):
i = 2
ret = {}
rhoFlg = 0
while i*i <= n:
k = 0
while n % i == 0:
n //= i
k += 1
if k: ret[i] = k
i += 1 + i % 2
if i == 101 and n >= 2 ** 20:
while n > 1:
if isPrimeMR(n):
ret[n], n = 1, 1
else:
rhoFlg = 1
j = findFactorRho(n)
k = 0
while n % j == 0:
n //= j
k += 1
ret[j] = k
if n > 1: ret[n] = 1
if rhoFlg: ret = {x: ret[x] for x in sorted(ret)}
return ret
#d=defaultdict(int)
s=set()
for q in a:
p=primeFactor(q)
for j in p:
if j in s:
print("setwise coprime")
exit()
s.add(j)
print("pairwise coprime") | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
dfbdf95b718951deb80f412553aeecbbadee397d | 7ba05e73515c14fb8d2f3d056b51102131171a11 | /000_mid_exam_retake/test.py | 9f34a58afac2898aea41cae6d451743ed3c488e6 | [] | no_license | gyurel/SoftUni-Basics-and-Fundamentals | bd6d5fa8c9d0cc51f241393afd418633a66c65dc | 184fc5dfab2fdd410aa8593f4c562fd56211c727 | refs/heads/main | 2023-07-05T11:16:58.966841 | 2021-08-31T19:25:40 | 2021-08-31T19:25:40 | 401,485,125 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 68 | py | d = {}
for x in range(1, 10):
d["string{0}".format(x)] = "Hello" | [
"gyurel@yahoo.com"
] | gyurel@yahoo.com |
f0595be963dc4b4499181013831a9970ba963495 | 180e1e947f3f824cb2c466f51900aa12a9428e1c | /pattern4/hamburg_store_v5/src/SichuanIngredientsFactory.py | db6d7e34726ae46ecf5b21659ff3352834e2f368 | [
"MIT"
] | permissive | icexmoon/design-pattern-with-python | 216f43a63dc87ef28a12d5a9a915bf0df3b64f50 | bb897e886fe52bb620db0edc6ad9d2e5ecb067af | refs/heads/main | 2023-06-15T11:54:19.357798 | 2021-07-21T08:46:16 | 2021-07-21T08:46:16 | 376,543,552 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 709 | py | #######################################################
#
# SichuanIngredientsFactory.py
# Python implementation of the Class SichuanIngredientsFactory
# Generated by Enterprise Architect
# Created on: 19-6��-2021 21:34:31
# Original author: 70748
#
#######################################################
from .Chicken import Chicken
from .Pepper import Pepper
from .SichuanPepper import SichuanPepper
from .ThreeYellowChicken import ThreeYellowChicken
from .IngredientsFactory import IngredientsFactory
class SichuanIngredientsFactory(IngredientsFactory):
def getChicken(self) -> Chicken:
return ThreeYellowChicken()
def getPepper(self) -> Pepper:
return SichuanPepper()
| [
"icexmoon@qq.com"
] | icexmoon@qq.com |
fdd539cdf1889df24696c662f74796e12e6ae49e | b8ed6b49f25d08a0a313d749f3e40d7a5b59dfc9 | /torch/fx/experimental/fx_acc/acc_op_properties.py | e2f53d7c48194b54b5f9ff834e1f73c13267da68 | [
"BSD-2-Clause",
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla",
"BSL-1.0",
"Apache-2.0"
] | permissive | yinchimaoliang/pytorch | 191f154ede241d6c61f3600f2987f2a9ec637c92 | ecf7e96969dec08f5e0091f1584557f13c290c18 | refs/heads/master | 2023-08-22T07:05:37.055667 | 2021-10-26T00:42:38 | 2021-10-26T00:44:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 990 | py | from collections import defaultdict
from enum import Flag, auto
from typing import Callable, DefaultDict, Set
import torch
import torch.fx
class AccOpProperty(Flag):
pointwise = auto()
quantized = auto()
acc_op_properties: DefaultDict[Callable, Set[AccOpProperty]] = defaultdict(set)
acc_ops_with_property: DefaultDict[AccOpProperty, Set[Callable]] = defaultdict(set)
def register_acc_op_properties(*properties: AccOpProperty):
"""
Attach properties to acc_op to inform optimization
"""
def decorator(acc_op: Callable):
acc_op_properties[acc_op] |= set(properties)
for prop in properties:
acc_ops_with_property[prop].add(acc_op)
return acc_op
return decorator
def add_optimization_properties_to_meta(mod: torch.fx.GraphModule) -> None:
"""
Add acc_op properties to Node.meta to inform optimization
"""
for node in mod.graph.nodes:
node.meta['acc_op_properties'] = acc_op_properties[node.target]
| [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
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