content stringlengths 7 1.05M | fixed_cases stringlengths 1 1.28M |
|---|---|
# Queue
# cf. Stack #10828
queue = []
for _ in range(int(input())):
op = input().split() # operator, operand
if op[0] == 'push':
queue.append(op[1])
elif op[0] == 'pop':
try:
print(queue.pop(0))
except IndexError as e:
print(-1)
elif op[0] == 'size':
print(len(queue))
elif op[0] == 'empty':
if len(queue) == 0:
print(1)
else:
print(0)
elif op[0] == 'front':
if len(queue) != 0:
print(queue[0])
else:
print(-1)
elif op[0] == 'back':
if len(queue) != 0:
print(queue[-1])
else:
print(-1)
| queue = []
for _ in range(int(input())):
op = input().split()
if op[0] == 'push':
queue.append(op[1])
elif op[0] == 'pop':
try:
print(queue.pop(0))
except IndexError as e:
print(-1)
elif op[0] == 'size':
print(len(queue))
elif op[0] == 'empty':
if len(queue) == 0:
print(1)
else:
print(0)
elif op[0] == 'front':
if len(queue) != 0:
print(queue[0])
else:
print(-1)
elif op[0] == 'back':
if len(queue) != 0:
print(queue[-1])
else:
print(-1) |
# coding: utf-8
y1 = stencil(1, 3, 1)
y2 = stencil((-1,1), (3,4), (2,2))
y3 = stencil((-1,0,1), (3,4,5), (2,2,2))
| y1 = stencil(1, 3, 1)
y2 = stencil((-1, 1), (3, 4), (2, 2))
y3 = stencil((-1, 0, 1), (3, 4, 5), (2, 2, 2)) |
'''
lamlight.constants
~~~~~~~~~~~~~~~~~~~
Module contains the constants used in the project.
Module contains the following type of constats
1) error messages
2) console commands
3) logging messages
4) general constatns
'''
LAMLIGHT_CONF = '.lamlight.config'
# error_message
NO_LAMBDA_FUNCTION = " Lambda function with '{}' name does not exist."
SCAFFOLDING_ERROR = 'Could not create project Scaffolding.'
CODE_PULLING_ERROR = "cannot load the code base for '{}' lambda "
PACKAGIN_ERROR = "Could not create the code package."
NO_LAMLIGHT_PROJECT = 'Not a Lamlight project. Get in lamlight by connection to one lambda function'
LAMBDA_ALREADY_EXISTS = " Lambda function with '{}' name already exists."
DIRECTORY_ALREADY_EXISTS = 'Directory with name {} already exists'
# console commands
PIP_UPGRADE = "pip install --upgrade pip"
PIP_REQ_INSTALL = "pip install --upgrade --no-cache-dir -r requirements.txt -t temp_dependencies/"
ZIP_DEPENDENCY = 'cd temp_dependencies && zip -r ../.requirements.zip .'
# logger messages
CONNECT_TO_LAMBDA = "Your project is connected to '{}' lambda function"
# general
DEPENDENCY_DIR = 'temp_dependencies/'
BUCKET_NAME = 'lambda-code-{}-{}'
| """
lamlight.constants
~~~~~~~~~~~~~~~~~~~
Module contains the constants used in the project.
Module contains the following type of constats
1) error messages
2) console commands
3) logging messages
4) general constatns
"""
lamlight_conf = '.lamlight.config'
no_lambda_function = " Lambda function with '{}' name does not exist."
scaffolding_error = 'Could not create project Scaffolding.'
code_pulling_error = "cannot load the code base for '{}' lambda "
packagin_error = 'Could not create the code package.'
no_lamlight_project = 'Not a Lamlight project. Get in lamlight by connection to one lambda function'
lambda_already_exists = " Lambda function with '{}' name already exists."
directory_already_exists = 'Directory with name {} already exists'
pip_upgrade = 'pip install --upgrade pip'
pip_req_install = 'pip install --upgrade --no-cache-dir -r requirements.txt -t temp_dependencies/'
zip_dependency = 'cd temp_dependencies && zip -r ../.requirements.zip .'
connect_to_lambda = "Your project is connected to '{}' lambda function"
dependency_dir = 'temp_dependencies/'
bucket_name = 'lambda-code-{}-{}' |
# Copyright 2018 The Kubernetes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
load("@io_bazel_rules_k8s//k8s:object.bzl", "k8s_object")
def _impl(ctx):
args = [
"--output=%s" % ctx.outputs.output.path,
"--name=%s" % ctx.label.name[:-len(".generated-yaml")],
"--namespace=%s" % ctx.attr.namespace,
]
for key, value in ctx.attr.labels.items():
args.append("--label=%s=%s" % (key, value))
# Build the {string: label} dict
targets = {}
for i, t in enumerate(ctx.attr.data_strings):
targets[t] = ctx.attr.data_labels[i]
for name, label in ctx.attr.data.items():
fp = targets[label].files.to_list()[0].path
args.append(ctx.expand_location("--data=%s=%s" % (name, fp)))
ctx.actions.run(
inputs=ctx.files.data_labels,
outputs=[ctx.outputs.output],
executable=ctx.executable._writer,
arguments=args,
progress_message="creating %s..." % ctx.outputs.output.short_path,
)
# See https://docs.bazel.build/versions/master/skylark/rules.html
_k8s_configmap = rule(
implementation = _impl,
attrs={
# TODO(fejta): switch to string_keyed_label_dict once it exists
"data": attr.string_dict(mandatory=True, allow_empty=False),
"namespace": attr.string(),
"cluster": attr.string(),
"labels": attr.string_dict(),
"output": attr.output(mandatory=True),
# private attrs, the data_* are used to create a {string: label} dict
"data_strings": attr.string_list(mandatory=True),
"data_labels": attr.label_list(mandatory=True, allow_files=True),
"_writer": attr.label(executable=True, cfg="host", allow_files=True,
default=Label("//def/configmap")),
},
)
# A macro to create a configmap object as well as rules to manage it.
#
# Usage:
# k8s_configmap("something", data={"foo": "//path/to/foo.json"})
#
# This is roughly equivalent to:
# kubectl create configmap something --from-file=foo=path/to/foo.json
# Supports cluster=kubectl_context, namespace="blah", labels={"app": "fancy"}
# as well as any args k8s_object supports.
#
# Generates a k8s_object(kind="configmap") with the generated template.
#
# See also:
# * https://docs.bazel.build/versions/master/skylark/macros.html
# * https://github.com/bazelbuild/rules_k8s#k8s_object
def k8s_configmap(name, data=None, namespace='', labels=None, cluster='', **kw):
# Create the non-duplicated list of data values
_data = data or {}
_data_targets = {v: None for v in _data.values()}.keys()
# Create the rule to generate the configmap
_k8s_configmap(
name = name + ".generated-yaml",
data=data,
namespace=namespace,
labels=labels,
output=name + "_configmap.yaml",
data_strings=_data_targets,
data_labels=_data_targets,
)
# Run k8s_object with the generated configmap
k8s_object(
name = name,
kind = "configmap",
template = name + "_configmap.yaml",
cluster = cluster,
namespace = namespace,
**kw)
| load('@io_bazel_rules_k8s//k8s:object.bzl', 'k8s_object')
def _impl(ctx):
args = ['--output=%s' % ctx.outputs.output.path, '--name=%s' % ctx.label.name[:-len('.generated-yaml')], '--namespace=%s' % ctx.attr.namespace]
for (key, value) in ctx.attr.labels.items():
args.append('--label=%s=%s' % (key, value))
targets = {}
for (i, t) in enumerate(ctx.attr.data_strings):
targets[t] = ctx.attr.data_labels[i]
for (name, label) in ctx.attr.data.items():
fp = targets[label].files.to_list()[0].path
args.append(ctx.expand_location('--data=%s=%s' % (name, fp)))
ctx.actions.run(inputs=ctx.files.data_labels, outputs=[ctx.outputs.output], executable=ctx.executable._writer, arguments=args, progress_message='creating %s...' % ctx.outputs.output.short_path)
_k8s_configmap = rule(implementation=_impl, attrs={'data': attr.string_dict(mandatory=True, allow_empty=False), 'namespace': attr.string(), 'cluster': attr.string(), 'labels': attr.string_dict(), 'output': attr.output(mandatory=True), 'data_strings': attr.string_list(mandatory=True), 'data_labels': attr.label_list(mandatory=True, allow_files=True), '_writer': attr.label(executable=True, cfg='host', allow_files=True, default=label('//def/configmap'))})
def k8s_configmap(name, data=None, namespace='', labels=None, cluster='', **kw):
_data = data or {}
_data_targets = {v: None for v in _data.values()}.keys()
_k8s_configmap(name=name + '.generated-yaml', data=data, namespace=namespace, labels=labels, output=name + '_configmap.yaml', data_strings=_data_targets, data_labels=_data_targets)
k8s_object(name=name, kind='configmap', template=name + '_configmap.yaml', cluster=cluster, namespace=namespace, **kw) |
# pylint: skip-file
# This file is part of 'miniver': https://github.com/jbweston/miniver
#
# This file will be overwritten by setup.py when a source or binary
# distribution is made. The magic value "__use_git__" is interpreted by
# version.py.
version = "__use_git__"
# These values are only set if the distribution was created with 'git archive'
refnames = "$Format:%D$"
git_hash = "$Format:%h$"
| version = '__use_git__'
refnames = '$Format:%D$'
git_hash = '$Format:%h$' |
data = (
' @ ', # 0x00
' ... ', # 0x01
', ', # 0x02
'. ', # 0x03
': ', # 0x04
' // ', # 0x05
'', # 0x06
'-', # 0x07
', ', # 0x08
'. ', # 0x09
'', # 0x0a
'', # 0x0b
'', # 0x0c
'', # 0x0d
'', # 0x0e
'[?]', # 0x0f
'0', # 0x10
'1', # 0x11
'2', # 0x12
'3', # 0x13
'4', # 0x14
'5', # 0x15
'6', # 0x16
'7', # 0x17
'8', # 0x18
'9', # 0x19
'[?]', # 0x1a
'[?]', # 0x1b
'[?]', # 0x1c
'[?]', # 0x1d
'[?]', # 0x1e
'[?]', # 0x1f
'a', # 0x20
'e', # 0x21
'i', # 0x22
'o', # 0x23
'u', # 0x24
'O', # 0x25
'U', # 0x26
'ee', # 0x27
'n', # 0x28
'ng', # 0x29
'b', # 0x2a
'p', # 0x2b
'q', # 0x2c
'g', # 0x2d
'm', # 0x2e
'l', # 0x2f
's', # 0x30
'sh', # 0x31
't', # 0x32
'd', # 0x33
'ch', # 0x34
'j', # 0x35
'y', # 0x36
'r', # 0x37
'w', # 0x38
'f', # 0x39
'k', # 0x3a
'kha', # 0x3b
'ts', # 0x3c
'z', # 0x3d
'h', # 0x3e
'zr', # 0x3f
'lh', # 0x40
'zh', # 0x41
'ch', # 0x42
'-', # 0x43
'e', # 0x44
'i', # 0x45
'o', # 0x46
'u', # 0x47
'O', # 0x48
'U', # 0x49
'ng', # 0x4a
'b', # 0x4b
'p', # 0x4c
'q', # 0x4d
'g', # 0x4e
'm', # 0x4f
't', # 0x50
'd', # 0x51
'ch', # 0x52
'j', # 0x53
'ts', # 0x54
'y', # 0x55
'w', # 0x56
'k', # 0x57
'g', # 0x58
'h', # 0x59
'jy', # 0x5a
'ny', # 0x5b
'dz', # 0x5c
'e', # 0x5d
'i', # 0x5e
'iy', # 0x5f
'U', # 0x60
'u', # 0x61
'ng', # 0x62
'k', # 0x63
'g', # 0x64
'h', # 0x65
'p', # 0x66
'sh', # 0x67
't', # 0x68
'd', # 0x69
'j', # 0x6a
'f', # 0x6b
'g', # 0x6c
'h', # 0x6d
'ts', # 0x6e
'z', # 0x6f
'r', # 0x70
'ch', # 0x71
'zh', # 0x72
'i', # 0x73
'k', # 0x74
'r', # 0x75
'f', # 0x76
'zh', # 0x77
'[?]', # 0x78
'[?]', # 0x79
'[?]', # 0x7a
'[?]', # 0x7b
'[?]', # 0x7c
'[?]', # 0x7d
'[?]', # 0x7e
'[?]', # 0x7f
'[?]', # 0x80
'H', # 0x81
'X', # 0x82
'W', # 0x83
'M', # 0x84
' 3 ', # 0x85
' 333 ', # 0x86
'a', # 0x87
'i', # 0x88
'k', # 0x89
'ng', # 0x8a
'c', # 0x8b
'tt', # 0x8c
'tth', # 0x8d
'dd', # 0x8e
'nn', # 0x8f
't', # 0x90
'd', # 0x91
'p', # 0x92
'ph', # 0x93
'ss', # 0x94
'zh', # 0x95
'z', # 0x96
'a', # 0x97
't', # 0x98
'zh', # 0x99
'gh', # 0x9a
'ng', # 0x9b
'c', # 0x9c
'jh', # 0x9d
'tta', # 0x9e
'ddh', # 0x9f
't', # 0xa0
'dh', # 0xa1
'ss', # 0xa2
'cy', # 0xa3
'zh', # 0xa4
'z', # 0xa5
'u', # 0xa6
'y', # 0xa7
'bh', # 0xa8
'\'', # 0xa9
'[?]', # 0xaa
'[?]', # 0xab
'[?]', # 0xac
'[?]', # 0xad
'[?]', # 0xae
'[?]', # 0xaf
'[?]', # 0xb0
'[?]', # 0xb1
'[?]', # 0xb2
'[?]', # 0xb3
'[?]', # 0xb4
'[?]', # 0xb5
'[?]', # 0xb6
'[?]', # 0xb7
'[?]', # 0xb8
'[?]', # 0xb9
'[?]', # 0xba
'[?]', # 0xbb
'[?]', # 0xbc
'[?]', # 0xbd
'[?]', # 0xbe
'[?]', # 0xbf
'[?]', # 0xc0
'[?]', # 0xc1
'[?]', # 0xc2
'[?]', # 0xc3
'[?]', # 0xc4
'[?]', # 0xc5
'[?]', # 0xc6
'[?]', # 0xc7
'[?]', # 0xc8
'[?]', # 0xc9
'[?]', # 0xca
'[?]', # 0xcb
'[?]', # 0xcc
'[?]', # 0xcd
'[?]', # 0xce
'[?]', # 0xcf
'[?]', # 0xd0
'[?]', # 0xd1
'[?]', # 0xd2
'[?]', # 0xd3
'[?]', # 0xd4
'[?]', # 0xd5
'[?]', # 0xd6
'[?]', # 0xd7
'[?]', # 0xd8
'[?]', # 0xd9
'[?]', # 0xda
'[?]', # 0xdb
'[?]', # 0xdc
'[?]', # 0xdd
'[?]', # 0xde
'[?]', # 0xdf
'[?]', # 0xe0
'[?]', # 0xe1
'[?]', # 0xe2
'[?]', # 0xe3
'[?]', # 0xe4
'[?]', # 0xe5
'[?]', # 0xe6
'[?]', # 0xe7
'[?]', # 0xe8
'[?]', # 0xe9
'[?]', # 0xea
'[?]', # 0xeb
'[?]', # 0xec
'[?]', # 0xed
'[?]', # 0xee
'[?]', # 0xef
'[?]', # 0xf0
'[?]', # 0xf1
'[?]', # 0xf2
'[?]', # 0xf3
'[?]', # 0xf4
'[?]', # 0xf5
'[?]', # 0xf6
'[?]', # 0xf7
'[?]', # 0xf8
'[?]', # 0xf9
'[?]', # 0xfa
'[?]', # 0xfb
'[?]', # 0xfc
'[?]', # 0xfd
'[?]', # 0xfe
)
| data = (' @ ', ' ... ', ', ', '. ', ': ', ' // ', '', '-', ', ', '. ', '', '', '', '', '', '[?]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', 'a', 'e', 'i', 'o', 'u', 'O', 'U', 'ee', 'n', 'ng', 'b', 'p', 'q', 'g', 'm', 'l', 's', 'sh', 't', 'd', 'ch', 'j', 'y', 'r', 'w', 'f', 'k', 'kha', 'ts', 'z', 'h', 'zr', 'lh', 'zh', 'ch', '-', 'e', 'i', 'o', 'u', 'O', 'U', 'ng', 'b', 'p', 'q', 'g', 'm', 't', 'd', 'ch', 'j', 'ts', 'y', 'w', 'k', 'g', 'h', 'jy', 'ny', 'dz', 'e', 'i', 'iy', 'U', 'u', 'ng', 'k', 'g', 'h', 'p', 'sh', 't', 'd', 'j', 'f', 'g', 'h', 'ts', 'z', 'r', 'ch', 'zh', 'i', 'k', 'r', 'f', 'zh', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', 'H', 'X', 'W', 'M', ' 3 ', ' 333 ', 'a', 'i', 'k', 'ng', 'c', 'tt', 'tth', 'dd', 'nn', 't', 'd', 'p', 'ph', 'ss', 'zh', 'z', 'a', 't', 'zh', 'gh', 'ng', 'c', 'jh', 'tta', 'ddh', 't', 'dh', 'ss', 'cy', 'zh', 'z', 'u', 'y', 'bh', "'", '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]', '[?]') |
# Populate temporary table A
TMP_VOID_A = """
SELECT
gltr_rec.gltr_no as gltr_noa, gle_rec.jrnl_ref, gle_rec.doc_id as
cknodoc_ida, gle_rec.doc_no as cknodoc_noa, gltr_rec.subs, gltr_rec.stat,
gltr_rec.recon_stat
FROM
vch_rec, gle_rec, gltr_rec
WHERE
gle_rec.jrnl_ref = 'CK'
AND
vch_rec.amt_type = 'ACT'
AND
gle_rec.ctgry = 'VOID'
AND
gle_rec.jrnl_ref = vch_rec.vch_ref
AND
gle_rec.jrnl_no = vch_rec.jrnl_no
AND
gle_rec.jrnl_ref = gltr_rec.jrnl_ref
AND
gle_rec.jrnl_no = gltr_rec.jrnl_no
AND
gle_rec.gle_no = gltr_rec.ent_no
AND
gltr_rec.stat IN('P','xV')
AND
gltr_rec.recon_stat = 'O'
ORDER BY
cknodoc_noa
INTO TEMP
tmp_voida
WITH NO LOG
"""
# select * from temporary table A for testing
SELECT_VOID_A = """
SELECT
*
FROM
tmp_voida
ORDER BY
cknodoc_noa, gltr_noa
"""
# Populate temporary table B
TMP_VOID_B = """
SELECT
gle_rec.doc_id as cknodoc_idb, gltr_rec.gltr_no as gltr_nob,
gle_rec.jrnl_ref, gle_rec.jrnl_no, gle_rec.descr as GLEdescr,
gle_rec.doc_no as cknodoc_nob, gle_rec.ctgry, gltr_rec.amt,
gltr_rec.recon_stat
FROM
vch_rec, gle_rec, gltr_rec, tmp_voida
WHERE gle_rec.jrnl_ref = 'CK'
AND vch_rec.amt_type = 'ACT'
AND gle_rec.jrnl_ref = vch_rec.vch_ref
AND gle_rec.jrnl_no = vch_rec.jrnl_no
AND gle_rec.jrnl_ref = gltr_rec.jrnl_ref
AND gle_rec.jrnl_no = gltr_rec.jrnl_no
AND gle_rec.gle_no = gltr_rec.ent_no
AND gltr_rec.stat IN('P','xV')
AND gltr_rec.recon_stat = 'O'
AND tmp_voida.cknodoc_noa = gle_rec.doc_no
AND tmp_voida.cknodoc_ida = gle_rec.doc_id
AND tmp_voida.subs = gltr_rec.subs
AND tmp_voida.stat = gltr_rec.stat
AND tmp_voida.recon_stat = gltr_rec.recon_stat
ORDER BY
cknodoc_nob
INTO TEMP
tmp_voidb
WITH NO LOG
"""
# select * from temporary table B and send the data to the business office
SELECT_VOID_B = """
SELECT
*
FROM
tmp_voidb
ORDER BY
cknodoc_nob, gltr_nob
"""
# Set reconciliation status to 'v'
UPDATE_RECONCILIATION_STATUS = """
UPDATE
gltr_rec
SET
gltr_rec.recon_stat = 'v'
WHERE
gltr_rec.gltr_no
IN (
SELECT
tmp_voidb.gltr_nob
FROM
tmp_voidb
)
AND
gltr_rec.recon_stat = 'O'
"""
# Find the duplicate cheque numbers and update those as 's'uspicious
# select import_date and stick it in a temp table, for some reason
SELECT_CURRENT_BATCH_DATE = """
SELECT
Min(ccreconjb_rec.jbimprt_date) AS crrntbatchdate
FROM
ccreconjb_rec
WHERE
jbimprt_date >= '{import_date}'
INTO TEMP
tmp_maxbtchdate
WITH NO LOG
"""
# select the duplicate cheques
SELECT_DUPLICATES_1 = """
SELECT
ccreconjb_rec.jbchkno, tmp_maxbtchdate.crrntbatchdate,
Max(ccreconjb_rec.jbimprt_date) AS maxbatchdate,
Min(ccreconjb_rec.jbimprt_date) AS minbatchdate,
Count(ccreconjb_rec.jbseqno) AS countofjbseqno
FROM
ccreconjb_rec, tmp_maxbtchdate
WHERE
ccreconjb_rec.jbimprt_date >= '{import_date}'
GROUP BY
ccreconjb_rec.jbchkno, tmp_maxbtchdate.crrntbatchdate
HAVING
Count(ccreconjb_rec.jbseqno) > 1
INTO TEMP
tmp_dupcknos
WITH NO LOG
"""
# select cheques for updating
SELECT_FOR_UPDATING = """
SELECT
ccreconjb_rec.jbseqno, ccreconjb_rec.jbchkno,
ccreconjb_rec.jbchknolnk, ccreconjb_rec.jbimprt_date,
ccreconjb_rec.jbstatus, ccreconjb_rec.jbaction,
ccreconjb_rec.jbaccount, ccreconjb_rec.jbamount,
ccreconjb_rec.jbamountlnk, ccreconjb_rec.jbstatus_date,
tmp_dupcknos.crrntbatchdate, tmp_dupcknos.maxbatchdate,
tmp_dupcknos.minbatchdate, tmp_dupcknos.countofjbseqno
FROM
ccreconjb_rec, tmp_dupcknos
WHERE
ccreconjb_rec.jbimprt_date >= '{import_date}'
AND
ccreconjb_rec.jbchkno = tmp_dupcknos.jbchkno
AND
ccreconjb_rec.jbstatus = 'I'
ORDER BY
ccreconjb_rec.jbchkno, ccreconjb_rec.jbseqno
INTO TEMP
tmp_4updtstatus
WITH NO LOG
"""
# select the records to be updated and send to the business office
SELECT_RECORDS_FOR_UPDATE = """
SELECT
*
FROM
tmp_4updtstatus
ORDER BY
jbchkno, jbseqno
"""
# update cheque status to 's'uspicious
UPDATE_STATUS_SUSPICIOUS = """
UPDATE
ccreconjb_rec
SET
ccreconjb_rec.jbstatus = 's'
WHERE
ccreconjb_rec.jbseqno
IN (
SELECT
tmp_4updtstatus.jbseqno
FROM
tmp_4updtstatus
)
AND
ccreconjb_rec.jbstatus = 'I'
"""
# send the results to the business office
SELECT_DUPLICATES_2 = """
SELECT
ccreconjb_rec.jbseqno, ccreconjb_rec.jbchkno, ccreconjb_rec.jbchknolnk,
ccreconjb_rec.jbimprt_date, ccreconjb_rec.jbstatus,
ccreconjb_rec.jbaction, ccreconjb_rec.jbaccount,
ccreconjb_rec.jbamount, ccreconjb_rec.jbamountlnk,
ccreconjb_rec.jbstatus_date, tmp_dupcknos.crrntbatchdate,
tmp_dupcknos.maxbatchdate, tmp_dupcknos.minbatchdate,
tmp_dupcknos.countofjbseqno
FROM
ccreconjb_rec, tmp_dupcknos
WHERE
ccreconjb_rec.jbimprt_date >= '{import_date}'
AND
ccreconjb_rec.jbchkno = tmp_dupcknos.jbchkno
ORDER BY
ccreconjb_rec.jbchkno, ccreconjb_rec.jbseqno
"""
# Find the cleared CheckNos and update gltr_rec as 'r'econciled
# and ccreconjb_rec as 'ar' (auto-reconciled)
SELECT_CLEARED_CHEQUES = """
SELECT
ccreconjb_rec.jbimprt_date, ccreconjb_rec.jbseqno,
ccreconjb_rec.jbchkno, ccreconjb_rec.jbchknolnk,
ccreconjb_rec.jbstatus, ccreconjb_rec.jbaction,
ccreconjb_rec.jbamount, ccreconjb_rec.jbamountlnk,
ccreconjb_rec.jbaccount, ccreconjb_rec.jbstatus_date,
ccreconjb_rec.jbpayee, gltr_rec.gltr_no, gle_rec.jrnl_ref,
gle_rec.jrnl_no, gle_rec.doc_id as cknodoc_id, gltr_rec.amt,
gle_rec.doc_no as cknodoc_no, gltr_rec.subs, gltr_rec.stat,
gltr_rec.recon_stat
FROM
vch_rec, gle_rec, gltr_rec, ccreconjb_rec
WHERE
gle_rec.jrnl_ref = 'CK'
AND
vch_rec.amt_type = 'ACT'
AND
gle_rec.ctgry = 'CHK'
AND
gle_rec.jrnl_ref = vch_rec.vch_ref
AND
gle_rec.jrnl_no = vch_rec.jrnl_no
AND
gle_rec.jrnl_ref = gltr_rec.jrnl_ref
AND
gle_rec.jrnl_no = gltr_rec.jrnl_no
AND
gle_rec.gle_no = gltr_rec.ent_no
AND
gltr_rec.stat IN('P','xV')
AND
ccreconjb_rec.jbchknolnk = gle_rec.doc_no
AND
ccreconjb_rec.jbamountlnk = gltr_rec.amt
AND
ccreconjb_rec.jbstatus NOT IN("s","ar","er","mr")
AND
gltr_rec.recon_stat NOT IN("r","v")
AND
ccreconjb_rec.jbimprt_date >= '{import_date}'
ORDER BY
gle_rec.doc_no
INTO TEMP
tmp_reconupdta
WITH NO LOG
"""
UPDATE_RECONCILED = """
UPDATE
gltr_rec
SET
gltr_rec.recon_stat = 'r'
WHERE
gltr_rec.gltr_no
IN (
SELECT
tmp_reconupdta.gltr_no
FROM
tmp_reconupdta
)
AND
gltr_rec.recon_stat = 'O'
"""
UPDATE_STATUS_AUTO_REC = """
UPDATE
ccreconjb_rec
SET
ccreconjb_rec.jbstatus = 'ar'
WHERE
ccreconjb_rec.jbseqno
IN (
SELECT
tmp_reconupdta.jbseqno
FROM
tmp_reconupdta
)
AND
ccreconjb_rec.jbstatus = 'I'
"""
# Display reconciled checks
SELECT_RECONCILIATED = """
SELECT
*
FROM
tmp_reconupdta
ORDER BY
tmp_reconupdta.cknodoc_no
"""
# Display any left over imported checks whose status has not changed
SELECT_REMAINING_EYE = """
SELECT * FROM ccreconjb_rec where jbstatus = 'I'
"""
| tmp_void_a = "\n SELECT\n gltr_rec.gltr_no as gltr_noa, gle_rec.jrnl_ref, gle_rec.doc_id as\n cknodoc_ida, gle_rec.doc_no as cknodoc_noa, gltr_rec.subs, gltr_rec.stat,\n gltr_rec.recon_stat\n FROM\n vch_rec, gle_rec, gltr_rec\n WHERE\n gle_rec.jrnl_ref = 'CK'\n AND\n vch_rec.amt_type = 'ACT'\n AND\n gle_rec.ctgry = 'VOID'\n AND\n gle_rec.jrnl_ref = vch_rec.vch_ref\n AND\n gle_rec.jrnl_no = vch_rec.jrnl_no\n AND\n gle_rec.jrnl_ref = gltr_rec.jrnl_ref\n AND\n gle_rec.jrnl_no = gltr_rec.jrnl_no\n AND\n gle_rec.gle_no = gltr_rec.ent_no\n AND\n gltr_rec.stat IN('P','xV')\n AND\n gltr_rec.recon_stat = 'O'\n ORDER BY\n cknodoc_noa\n INTO TEMP\n tmp_voida\n WITH NO LOG\n"
select_void_a = '\n SELECT\n *\n FROM\n tmp_voida\n ORDER BY\n cknodoc_noa, gltr_noa\n'
tmp_void_b = "\n SELECT\n gle_rec.doc_id as cknodoc_idb, gltr_rec.gltr_no as gltr_nob,\n gle_rec.jrnl_ref, gle_rec.jrnl_no, gle_rec.descr as GLEdescr,\n gle_rec.doc_no as cknodoc_nob, gle_rec.ctgry, gltr_rec.amt,\n gltr_rec.recon_stat\n FROM\n vch_rec, gle_rec, gltr_rec, tmp_voida\n WHERE gle_rec.jrnl_ref = 'CK'\n AND vch_rec.amt_type = 'ACT'\n AND gle_rec.jrnl_ref = vch_rec.vch_ref\n AND gle_rec.jrnl_no = vch_rec.jrnl_no\n AND gle_rec.jrnl_ref = gltr_rec.jrnl_ref\n AND gle_rec.jrnl_no = gltr_rec.jrnl_no\n AND gle_rec.gle_no = gltr_rec.ent_no\n AND gltr_rec.stat IN('P','xV')\n AND gltr_rec.recon_stat = 'O'\n AND tmp_voida.cknodoc_noa = gle_rec.doc_no\n AND tmp_voida.cknodoc_ida = gle_rec.doc_id\n AND tmp_voida.subs = gltr_rec.subs\n AND tmp_voida.stat = gltr_rec.stat\n AND tmp_voida.recon_stat = gltr_rec.recon_stat\n ORDER BY\n cknodoc_nob\n INTO TEMP\n tmp_voidb\n WITH NO LOG\n"
select_void_b = '\n SELECT\n *\n FROM\n tmp_voidb\n ORDER BY\n cknodoc_nob, gltr_nob\n'
update_reconciliation_status = "\n UPDATE\n gltr_rec\n SET\n gltr_rec.recon_stat = 'v'\n WHERE\n gltr_rec.gltr_no\n IN (\n SELECT\n tmp_voidb.gltr_nob\n FROM\n tmp_voidb\n )\n AND\n gltr_rec.recon_stat = 'O'\n"
select_current_batch_date = "\n SELECT\n Min(ccreconjb_rec.jbimprt_date) AS crrntbatchdate\n FROM\n ccreconjb_rec\n WHERE\n jbimprt_date >= '{import_date}'\n INTO TEMP\n tmp_maxbtchdate\n WITH NO LOG\n"
select_duplicates_1 = "\n SELECT\n ccreconjb_rec.jbchkno, tmp_maxbtchdate.crrntbatchdate,\n Max(ccreconjb_rec.jbimprt_date) AS maxbatchdate,\n Min(ccreconjb_rec.jbimprt_date) AS minbatchdate,\n Count(ccreconjb_rec.jbseqno) AS countofjbseqno\n FROM\n ccreconjb_rec, tmp_maxbtchdate\n WHERE\n ccreconjb_rec.jbimprt_date >= '{import_date}'\n GROUP BY\n ccreconjb_rec.jbchkno, tmp_maxbtchdate.crrntbatchdate\n HAVING\n Count(ccreconjb_rec.jbseqno) > 1\n INTO TEMP\n tmp_dupcknos\n WITH NO LOG\n"
select_for_updating = "\n SELECT\n ccreconjb_rec.jbseqno, ccreconjb_rec.jbchkno,\n ccreconjb_rec.jbchknolnk, ccreconjb_rec.jbimprt_date,\n ccreconjb_rec.jbstatus, ccreconjb_rec.jbaction,\n ccreconjb_rec.jbaccount, ccreconjb_rec.jbamount,\n ccreconjb_rec.jbamountlnk, ccreconjb_rec.jbstatus_date,\n tmp_dupcknos.crrntbatchdate, tmp_dupcknos.maxbatchdate,\n tmp_dupcknos.minbatchdate, tmp_dupcknos.countofjbseqno\n FROM\n ccreconjb_rec, tmp_dupcknos\n WHERE\n ccreconjb_rec.jbimprt_date >= '{import_date}'\n AND\n ccreconjb_rec.jbchkno = tmp_dupcknos.jbchkno\n AND\n ccreconjb_rec.jbstatus = 'I'\n ORDER BY\n ccreconjb_rec.jbchkno, ccreconjb_rec.jbseqno\n INTO TEMP\n tmp_4updtstatus\n WITH NO LOG\n"
select_records_for_update = '\n SELECT\n *\n FROM\n tmp_4updtstatus\n ORDER BY\n jbchkno, jbseqno\n'
update_status_suspicious = "\n UPDATE\n ccreconjb_rec\n SET\n ccreconjb_rec.jbstatus = 's'\n WHERE\n ccreconjb_rec.jbseqno\n IN (\n SELECT\n tmp_4updtstatus.jbseqno\n FROM\n tmp_4updtstatus\n )\n AND\n ccreconjb_rec.jbstatus = 'I'\n"
select_duplicates_2 = "\n SELECT\n ccreconjb_rec.jbseqno, ccreconjb_rec.jbchkno, ccreconjb_rec.jbchknolnk,\n ccreconjb_rec.jbimprt_date, ccreconjb_rec.jbstatus,\n ccreconjb_rec.jbaction, ccreconjb_rec.jbaccount,\n ccreconjb_rec.jbamount, ccreconjb_rec.jbamountlnk,\n ccreconjb_rec.jbstatus_date, tmp_dupcknos.crrntbatchdate,\n tmp_dupcknos.maxbatchdate, tmp_dupcknos.minbatchdate,\n tmp_dupcknos.countofjbseqno\n FROM\n ccreconjb_rec, tmp_dupcknos\n WHERE\n ccreconjb_rec.jbimprt_date >= '{import_date}'\n AND\n ccreconjb_rec.jbchkno = tmp_dupcknos.jbchkno\n ORDER BY\n ccreconjb_rec.jbchkno, ccreconjb_rec.jbseqno\n"
select_cleared_cheques = '\n SELECT\n ccreconjb_rec.jbimprt_date, ccreconjb_rec.jbseqno,\n ccreconjb_rec.jbchkno, ccreconjb_rec.jbchknolnk,\n ccreconjb_rec.jbstatus, ccreconjb_rec.jbaction,\n ccreconjb_rec.jbamount, ccreconjb_rec.jbamountlnk,\n ccreconjb_rec.jbaccount, ccreconjb_rec.jbstatus_date,\n ccreconjb_rec.jbpayee, gltr_rec.gltr_no, gle_rec.jrnl_ref,\n gle_rec.jrnl_no, gle_rec.doc_id as cknodoc_id, gltr_rec.amt,\n gle_rec.doc_no as cknodoc_no, gltr_rec.subs, gltr_rec.stat,\n gltr_rec.recon_stat\n FROM\n vch_rec, gle_rec, gltr_rec, ccreconjb_rec\n WHERE\n gle_rec.jrnl_ref = \'CK\'\n AND\n vch_rec.amt_type = \'ACT\'\n AND\n gle_rec.ctgry = \'CHK\'\n AND\n gle_rec.jrnl_ref = vch_rec.vch_ref\n AND\n gle_rec.jrnl_no = vch_rec.jrnl_no\n AND\n gle_rec.jrnl_ref = gltr_rec.jrnl_ref\n AND\n gle_rec.jrnl_no = gltr_rec.jrnl_no\n AND\n gle_rec.gle_no = gltr_rec.ent_no\n AND\n gltr_rec.stat IN(\'P\',\'xV\')\n AND\n ccreconjb_rec.jbchknolnk = gle_rec.doc_no\n AND\n ccreconjb_rec.jbamountlnk = gltr_rec.amt\n AND\n ccreconjb_rec.jbstatus NOT IN("s","ar","er","mr")\n AND\n gltr_rec.recon_stat NOT IN("r","v")\n AND\n ccreconjb_rec.jbimprt_date >= \'{import_date}\'\n ORDER BY\n gle_rec.doc_no\n INTO TEMP\n tmp_reconupdta\n WITH NO LOG\n'
update_reconciled = "\n UPDATE\n gltr_rec\n SET\n gltr_rec.recon_stat = 'r'\n WHERE\n gltr_rec.gltr_no\n IN (\n SELECT\n tmp_reconupdta.gltr_no\n FROM\n tmp_reconupdta\n )\n AND\n gltr_rec.recon_stat = 'O'\n"
update_status_auto_rec = "\n UPDATE\n ccreconjb_rec\n SET\n ccreconjb_rec.jbstatus = 'ar'\n WHERE\n ccreconjb_rec.jbseqno\n IN (\n SELECT\n tmp_reconupdta.jbseqno\n FROM\n tmp_reconupdta\n )\n AND\n ccreconjb_rec.jbstatus = 'I'\n"
select_reconciliated = '\n SELECT\n *\n FROM\n tmp_reconupdta\n ORDER BY\n tmp_reconupdta.cknodoc_no\n'
select_remaining_eye = "\n SELECT * FROM ccreconjb_rec where jbstatus = 'I'\n" |
def test_admin_peers(web3, skip_if_testrpc):
skip_if_testrpc(web3)
assert web3.geth.admin.peers == []
| def test_admin_peers(web3, skip_if_testrpc):
skip_if_testrpc(web3)
assert web3.geth.admin.peers == [] |
# For the 1.x version
def needs_host(func):
@wraps(func)
def inner(*args, **kwargs):
return func(*args, **kwargs)
return inner
def local(command, capture=False, shell=None):
pass
@needs_host
def run(command, shell=True, pty=True, combine_stderr=None, quiet=False,
warn_only=False, stdout=None, stderr=None, timeout=None, shell_escape=None,
capture_buffer_size=None):
pass
@needs_host
def sudo(command, shell=True, pty=True, combine_stderr=None, user=None,
quiet=False, warn_only=False, stdout=None, stderr=None, group=None,
timeout=None, shell_escape=None, capture_buffer_size=None):
pass
| def needs_host(func):
@wraps(func)
def inner(*args, **kwargs):
return func(*args, **kwargs)
return inner
def local(command, capture=False, shell=None):
pass
@needs_host
def run(command, shell=True, pty=True, combine_stderr=None, quiet=False, warn_only=False, stdout=None, stderr=None, timeout=None, shell_escape=None, capture_buffer_size=None):
pass
@needs_host
def sudo(command, shell=True, pty=True, combine_stderr=None, user=None, quiet=False, warn_only=False, stdout=None, stderr=None, group=None, timeout=None, shell_escape=None, capture_buffer_size=None):
pass |
def capitalize(s):
return s[0].upper() + s[1:]
def sqlalchemy_column_types(field_type):
if field_type == 'int':
return('Integer')
else:
return('String') | def capitalize(s):
return s[0].upper() + s[1:]
def sqlalchemy_column_types(field_type):
if field_type == 'int':
return 'Integer'
else:
return 'String' |
class RecentCounter:
def __init__(self):
self.queue = []
def ping(self, t: int) -> int:
self.queue.append(t)
while t - self.queue[0] > 3000:
self.queue.pop(0)
return len(self.queue)
# Your RecentCounter object will be instantiated and called as such:
# obj = RecentCounter()
# param_1 = obj.ping(t)
| class Recentcounter:
def __init__(self):
self.queue = []
def ping(self, t: int) -> int:
self.queue.append(t)
while t - self.queue[0] > 3000:
self.queue.pop(0)
return len(self.queue) |
if __name__ == "__main__":
print("Hello World!")
l = [1, 2, 3, 4, 5]
print("list =", l)
print(f"format string list = {l}")
print(f"sum of l = {sum(l)}")
| if __name__ == '__main__':
print('Hello World!')
l = [1, 2, 3, 4, 5]
print('list =', l)
print(f'format string list = {l}')
print(f'sum of l = {sum(l)}') |
"""
Copyright (c) 2018 Fabian Affolter <fabian@affolter-engineering.ch>
Licensed under MIT. All rights reserved.
"""
class PiHoleError(Exception):
"""General PiHoleError exception occurred."""
pass
class PiHoleConnectionError(PiHoleError):
"""When a connection error is encountered."""
pass
| """
Copyright (c) 2018 Fabian Affolter <fabian@affolter-engineering.ch>
Licensed under MIT. All rights reserved.
"""
class Piholeerror(Exception):
"""General PiHoleError exception occurred."""
pass
class Piholeconnectionerror(PiHoleError):
"""When a connection error is encountered."""
pass |
class Chelovek:
imja = "Maksim"
def pokazatj_info(self):
print("Privet, menja zovut", self.imja)
chelovek1 = Chelovek()
chelovek1.pokazatj_info()
chelovek2 = Chelovek()
chelovek2.imja = "Tanja"
chelovek2.pokazatj_info() | class Chelovek:
imja = 'Maksim'
def pokazatj_info(self):
print('Privet, menja zovut', self.imja)
chelovek1 = chelovek()
chelovek1.pokazatj_info()
chelovek2 = chelovek()
chelovek2.imja = 'Tanja'
chelovek2.pokazatj_info() |
# Generated by h2py from /usr/include/netinet/in.h
# Included from sys/cdefs.h
def __P(protos): return protos
def __STRING(x): return #x
def __XSTRING(x): return __STRING(x)
def __P(protos): return ()
def __STRING(x): return "x"
def __aligned(x): return __attribute__((__aligned__(x)))
def __section(x): return __attribute__((__section__(x)))
def __aligned(x): return __attribute__((__aligned__(x)))
def __section(x): return __attribute__((__section__(x)))
def __nonnull(x): return __attribute__((__nonnull__(x)))
def __predict_true(exp): return __builtin_expect((exp), 1)
def __predict_false(exp): return __builtin_expect((exp), 0)
def __predict_true(exp): return (exp)
def __predict_false(exp): return (exp)
def __FBSDID(s): return __IDSTRING(__CONCAT(__rcsid_,__LINE__),s)
def __RCSID(s): return __IDSTRING(__CONCAT(__rcsid_,__LINE__),s)
def __RCSID_SOURCE(s): return __IDSTRING(__CONCAT(__rcsid_source_,__LINE__),s)
def __SCCSID(s): return __IDSTRING(__CONCAT(__sccsid_,__LINE__),s)
def __COPYRIGHT(s): return __IDSTRING(__CONCAT(__copyright_,__LINE__),s)
_POSIX_C_SOURCE = 199009
_POSIX_C_SOURCE = 199209
__XSI_VISIBLE = 600
_POSIX_C_SOURCE = 200112
__XSI_VISIBLE = 500
_POSIX_C_SOURCE = 199506
_POSIX_C_SOURCE = 198808
__POSIX_VISIBLE = 200112
__ISO_C_VISIBLE = 1999
__POSIX_VISIBLE = 199506
__ISO_C_VISIBLE = 1990
__POSIX_VISIBLE = 199309
__ISO_C_VISIBLE = 1990
__POSIX_VISIBLE = 199209
__ISO_C_VISIBLE = 1990
__POSIX_VISIBLE = 199009
__ISO_C_VISIBLE = 1990
__POSIX_VISIBLE = 198808
__ISO_C_VISIBLE = 0
__POSIX_VISIBLE = 0
__XSI_VISIBLE = 0
__BSD_VISIBLE = 0
__ISO_C_VISIBLE = 1990
__POSIX_VISIBLE = 0
__XSI_VISIBLE = 0
__BSD_VISIBLE = 0
__ISO_C_VISIBLE = 1999
__POSIX_VISIBLE = 200112
__XSI_VISIBLE = 600
__BSD_VISIBLE = 1
__ISO_C_VISIBLE = 1999
# Included from sys/_types.h
# Included from machine/_types.h
# Included from machine/endian.h
_QUAD_HIGHWORD = 1
_QUAD_LOWWORD = 0
_LITTLE_ENDIAN = 1234
_BIG_ENDIAN = 4321
_PDP_ENDIAN = 3412
_BYTE_ORDER = _LITTLE_ENDIAN
LITTLE_ENDIAN = _LITTLE_ENDIAN
BIG_ENDIAN = _BIG_ENDIAN
PDP_ENDIAN = _PDP_ENDIAN
BYTE_ORDER = _BYTE_ORDER
__INTEL_COMPILER_with_FreeBSD_endian = 1
__INTEL_COMPILER_with_FreeBSD_endian = 1
def __word_swap_int_var(x): return \
def __word_swap_int_const(x): return \
def __word_swap_int(x): return __word_swap_int_var(x)
def __byte_swap_int_var(x): return \
def __byte_swap_int_var(x): return \
def __byte_swap_int_const(x): return \
def __byte_swap_int(x): return __byte_swap_int_var(x)
def __byte_swap_word_var(x): return \
def __byte_swap_word_const(x): return \
def __byte_swap_word(x): return __byte_swap_word_var(x)
def __htonl(x): return __bswap32(x)
def __htons(x): return __bswap16(x)
def __ntohl(x): return __bswap32(x)
def __ntohs(x): return __bswap16(x)
IPPROTO_IP = 0
IPPROTO_ICMP = 1
IPPROTO_TCP = 6
IPPROTO_UDP = 17
def htonl(x): return __htonl(x)
def htons(x): return __htons(x)
def ntohl(x): return __ntohl(x)
def ntohs(x): return __ntohs(x)
IPPROTO_RAW = 255
INET_ADDRSTRLEN = 16
IPPROTO_HOPOPTS = 0
IPPROTO_IGMP = 2
IPPROTO_GGP = 3
IPPROTO_IPV4 = 4
IPPROTO_IPIP = IPPROTO_IPV4
IPPROTO_ST = 7
IPPROTO_EGP = 8
IPPROTO_PIGP = 9
IPPROTO_RCCMON = 10
IPPROTO_NVPII = 11
IPPROTO_PUP = 12
IPPROTO_ARGUS = 13
IPPROTO_EMCON = 14
IPPROTO_XNET = 15
IPPROTO_CHAOS = 16
IPPROTO_MUX = 18
IPPROTO_MEAS = 19
IPPROTO_HMP = 20
IPPROTO_PRM = 21
IPPROTO_IDP = 22
IPPROTO_TRUNK1 = 23
IPPROTO_TRUNK2 = 24
IPPROTO_LEAF1 = 25
IPPROTO_LEAF2 = 26
IPPROTO_RDP = 27
IPPROTO_IRTP = 28
IPPROTO_TP = 29
IPPROTO_BLT = 30
IPPROTO_NSP = 31
IPPROTO_INP = 32
IPPROTO_SEP = 33
IPPROTO_3PC = 34
IPPROTO_IDPR = 35
IPPROTO_XTP = 36
IPPROTO_DDP = 37
IPPROTO_CMTP = 38
IPPROTO_TPXX = 39
IPPROTO_IL = 40
IPPROTO_IPV6 = 41
IPPROTO_SDRP = 42
IPPROTO_ROUTING = 43
IPPROTO_FRAGMENT = 44
IPPROTO_IDRP = 45
IPPROTO_RSVP = 46
IPPROTO_GRE = 47
IPPROTO_MHRP = 48
IPPROTO_BHA = 49
IPPROTO_ESP = 50
IPPROTO_AH = 51
IPPROTO_INLSP = 52
IPPROTO_SWIPE = 53
IPPROTO_NHRP = 54
IPPROTO_MOBILE = 55
IPPROTO_TLSP = 56
IPPROTO_SKIP = 57
IPPROTO_ICMPV6 = 58
IPPROTO_NONE = 59
IPPROTO_DSTOPTS = 60
IPPROTO_AHIP = 61
IPPROTO_CFTP = 62
IPPROTO_HELLO = 63
IPPROTO_SATEXPAK = 64
IPPROTO_KRYPTOLAN = 65
IPPROTO_RVD = 66
IPPROTO_IPPC = 67
IPPROTO_ADFS = 68
IPPROTO_SATMON = 69
IPPROTO_VISA = 70
IPPROTO_IPCV = 71
IPPROTO_CPNX = 72
IPPROTO_CPHB = 73
IPPROTO_WSN = 74
IPPROTO_PVP = 75
IPPROTO_BRSATMON = 76
IPPROTO_ND = 77
IPPROTO_WBMON = 78
IPPROTO_WBEXPAK = 79
IPPROTO_EON = 80
IPPROTO_VMTP = 81
IPPROTO_SVMTP = 82
IPPROTO_VINES = 83
IPPROTO_TTP = 84
IPPROTO_IGP = 85
IPPROTO_DGP = 86
IPPROTO_TCF = 87
IPPROTO_IGRP = 88
IPPROTO_OSPFIGP = 89
IPPROTO_SRPC = 90
IPPROTO_LARP = 91
IPPROTO_MTP = 92
IPPROTO_AX25 = 93
IPPROTO_IPEIP = 94
IPPROTO_MICP = 95
IPPROTO_SCCSP = 96
IPPROTO_ETHERIP = 97
IPPROTO_ENCAP = 98
IPPROTO_APES = 99
IPPROTO_GMTP = 100
IPPROTO_IPCOMP = 108
IPPROTO_PIM = 103
IPPROTO_PGM = 113
IPPROTO_PFSYNC = 240
IPPROTO_OLD_DIVERT = 254
IPPROTO_MAX = 256
IPPROTO_DONE = 257
IPPROTO_DIVERT = 258
IPPORT_RESERVED = 1024
IPPORT_HIFIRSTAUTO = 49152
IPPORT_HILASTAUTO = 65535
IPPORT_RESERVEDSTART = 600
IPPORT_MAX = 65535
def IN_CLASSA(i): return (((u_int32_t)(i) & (-2147483648)) == 0)
IN_CLASSA_NET = (-16777216)
IN_CLASSA_NSHIFT = 24
IN_CLASSA_HOST = 0x00ffffff
IN_CLASSA_MAX = 128
def IN_CLASSB(i): return (((u_int32_t)(i) & (-1073741824)) == (-2147483648))
IN_CLASSB_NET = (-65536)
IN_CLASSB_NSHIFT = 16
IN_CLASSB_HOST = 0x0000ffff
IN_CLASSB_MAX = 65536
def IN_CLASSC(i): return (((u_int32_t)(i) & (-536870912)) == (-1073741824))
IN_CLASSC_NET = (-256)
IN_CLASSC_NSHIFT = 8
IN_CLASSC_HOST = 0x000000ff
def IN_CLASSD(i): return (((u_int32_t)(i) & (-268435456)) == (-536870912))
IN_CLASSD_NET = (-268435456)
IN_CLASSD_NSHIFT = 28
IN_CLASSD_HOST = 0x0fffffff
def IN_MULTICAST(i): return IN_CLASSD(i)
def IN_EXPERIMENTAL(i): return (((u_int32_t)(i) & (-268435456)) == (-268435456))
def IN_BADCLASS(i): return (((u_int32_t)(i) & (-268435456)) == (-268435456))
INADDR_NONE = (-1)
IN_LOOPBACKNET = 127
IP_OPTIONS = 1
IP_HDRINCL = 2
IP_TOS = 3
IP_TTL = 4
IP_RECVOPTS = 5
IP_RECVRETOPTS = 6
IP_RECVDSTADDR = 7
IP_SENDSRCADDR = IP_RECVDSTADDR
IP_RETOPTS = 8
IP_MULTICAST_IF = 9
IP_MULTICAST_TTL = 10
IP_MULTICAST_LOOP = 11
IP_ADD_MEMBERSHIP = 12
IP_DROP_MEMBERSHIP = 13
IP_MULTICAST_VIF = 14
IP_RSVP_ON = 15
IP_RSVP_OFF = 16
IP_RSVP_VIF_ON = 17
IP_RSVP_VIF_OFF = 18
IP_PORTRANGE = 19
IP_RECVIF = 20
IP_IPSEC_POLICY = 21
IP_FAITH = 22
IP_ONESBCAST = 23
IP_FW_TABLE_ADD = 40
IP_FW_TABLE_DEL = 41
IP_FW_TABLE_FLUSH = 42
IP_FW_TABLE_GETSIZE = 43
IP_FW_TABLE_LIST = 44
IP_FW_ADD = 50
IP_FW_DEL = 51
IP_FW_FLUSH = 52
IP_FW_ZERO = 53
IP_FW_GET = 54
IP_FW_RESETLOG = 55
IP_DUMMYNET_CONFIGURE = 60
IP_DUMMYNET_DEL = 61
IP_DUMMYNET_FLUSH = 62
IP_DUMMYNET_GET = 64
IP_RECVTTL = 65
IP_DEFAULT_MULTICAST_TTL = 1
IP_DEFAULT_MULTICAST_LOOP = 1
IP_MAX_MEMBERSHIPS = 20
IP_PORTRANGE_DEFAULT = 0
IP_PORTRANGE_HIGH = 1
IP_PORTRANGE_LOW = 2
IPPROTO_MAXID = (IPPROTO_AH + 1)
IPCTL_FORWARDING = 1
IPCTL_SENDREDIRECTS = 2
IPCTL_DEFTTL = 3
IPCTL_DEFMTU = 4
IPCTL_RTEXPIRE = 5
IPCTL_RTMINEXPIRE = 6
IPCTL_RTMAXCACHE = 7
IPCTL_SOURCEROUTE = 8
IPCTL_DIRECTEDBROADCAST = 9
IPCTL_INTRQMAXLEN = 10
IPCTL_INTRQDROPS = 11
IPCTL_STATS = 12
IPCTL_ACCEPTSOURCEROUTE = 13
IPCTL_FASTFORWARDING = 14
IPCTL_KEEPFAITH = 15
IPCTL_GIF_TTL = 16
IPCTL_MAXID = 17
def in_nullhost(x): return ((x).s_addr == INADDR_ANY)
# Included from netinet6/in6.h
__KAME_VERSION = "20010528/FreeBSD"
IPV6PORT_RESERVED = 1024
IPV6PORT_ANONMIN = 49152
IPV6PORT_ANONMAX = 65535
IPV6PORT_RESERVEDMIN = 600
IPV6PORT_RESERVEDMAX = (IPV6PORT_RESERVED-1)
INET6_ADDRSTRLEN = 46
IPV6_ADDR_INT32_ONE = 1
IPV6_ADDR_INT32_TWO = 2
IPV6_ADDR_INT32_MNL = (-16711680)
IPV6_ADDR_INT32_MLL = (-16646144)
IPV6_ADDR_INT32_SMP = 0x0000ffff
IPV6_ADDR_INT16_ULL = 0xfe80
IPV6_ADDR_INT16_USL = 0xfec0
IPV6_ADDR_INT16_MLL = 0xff02
IPV6_ADDR_INT32_ONE = 0x01000000
IPV6_ADDR_INT32_TWO = 0x02000000
IPV6_ADDR_INT32_MNL = 0x000001ff
IPV6_ADDR_INT32_MLL = 0x000002ff
IPV6_ADDR_INT32_SMP = (-65536)
IPV6_ADDR_INT16_ULL = 0x80fe
IPV6_ADDR_INT16_USL = 0xc0fe
IPV6_ADDR_INT16_MLL = 0x02ff
def IN6_IS_ADDR_UNSPECIFIED(a): return \
def IN6_IS_ADDR_LOOPBACK(a): return \
def IN6_IS_ADDR_V4COMPAT(a): return \
def IN6_IS_ADDR_V4MAPPED(a): return \
IPV6_ADDR_SCOPE_NODELOCAL = 0x01
IPV6_ADDR_SCOPE_INTFACELOCAL = 0x01
IPV6_ADDR_SCOPE_LINKLOCAL = 0x02
IPV6_ADDR_SCOPE_SITELOCAL = 0x05
IPV6_ADDR_SCOPE_ORGLOCAL = 0x08
IPV6_ADDR_SCOPE_GLOBAL = 0x0e
__IPV6_ADDR_SCOPE_NODELOCAL = 0x01
__IPV6_ADDR_SCOPE_INTFACELOCAL = 0x01
__IPV6_ADDR_SCOPE_LINKLOCAL = 0x02
__IPV6_ADDR_SCOPE_SITELOCAL = 0x05
__IPV6_ADDR_SCOPE_ORGLOCAL = 0x08
__IPV6_ADDR_SCOPE_GLOBAL = 0x0e
def IN6_IS_ADDR_LINKLOCAL(a): return \
def IN6_IS_ADDR_SITELOCAL(a): return \
def IN6_IS_ADDR_MC_NODELOCAL(a): return \
def IN6_IS_ADDR_MC_INTFACELOCAL(a): return \
def IN6_IS_ADDR_MC_LINKLOCAL(a): return \
def IN6_IS_ADDR_MC_SITELOCAL(a): return \
def IN6_IS_ADDR_MC_ORGLOCAL(a): return \
def IN6_IS_ADDR_MC_GLOBAL(a): return \
def IN6_IS_ADDR_MC_NODELOCAL(a): return \
def IN6_IS_ADDR_MC_LINKLOCAL(a): return \
def IN6_IS_ADDR_MC_SITELOCAL(a): return \
def IN6_IS_ADDR_MC_ORGLOCAL(a): return \
def IN6_IS_ADDR_MC_GLOBAL(a): return \
def IN6_IS_SCOPE_LINKLOCAL(a): return \
def IFA6_IS_DEPRECATED(a): return \
def IFA6_IS_INVALID(a): return \
IPV6_OPTIONS = 1
IPV6_RECVOPTS = 5
IPV6_RECVRETOPTS = 6
IPV6_RECVDSTADDR = 7
IPV6_RETOPTS = 8
IPV6_SOCKOPT_RESERVED1 = 3
IPV6_UNICAST_HOPS = 4
IPV6_MULTICAST_IF = 9
IPV6_MULTICAST_HOPS = 10
IPV6_MULTICAST_LOOP = 11
IPV6_JOIN_GROUP = 12
IPV6_LEAVE_GROUP = 13
IPV6_PORTRANGE = 14
ICMP6_FILTER = 18
IPV6_2292PKTINFO = 19
IPV6_2292HOPLIMIT = 20
IPV6_2292NEXTHOP = 21
IPV6_2292HOPOPTS = 22
IPV6_2292DSTOPTS = 23
IPV6_2292RTHDR = 24
IPV6_2292PKTOPTIONS = 25
IPV6_CHECKSUM = 26
IPV6_V6ONLY = 27
IPV6_BINDV6ONLY = IPV6_V6ONLY
IPV6_IPSEC_POLICY = 28
IPV6_FAITH = 29
IPV6_FW_ADD = 30
IPV6_FW_DEL = 31
IPV6_FW_FLUSH = 32
IPV6_FW_ZERO = 33
IPV6_FW_GET = 34
IPV6_RTHDRDSTOPTS = 35
IPV6_RECVPKTINFO = 36
IPV6_RECVHOPLIMIT = 37
IPV6_RECVRTHDR = 38
IPV6_RECVHOPOPTS = 39
IPV6_RECVDSTOPTS = 40
IPV6_RECVRTHDRDSTOPTS = 41
IPV6_USE_MIN_MTU = 42
IPV6_RECVPATHMTU = 43
IPV6_PATHMTU = 44
IPV6_REACHCONF = 45
IPV6_PKTINFO = 46
IPV6_HOPLIMIT = 47
IPV6_NEXTHOP = 48
IPV6_HOPOPTS = 49
IPV6_DSTOPTS = 50
IPV6_RTHDR = 51
IPV6_PKTOPTIONS = 52
IPV6_RECVTCLASS = 57
IPV6_AUTOFLOWLABEL = 59
IPV6_TCLASS = 61
IPV6_DONTFRAG = 62
IPV6_PREFER_TEMPADDR = 63
IPV6_RTHDR_LOOSE = 0
IPV6_RTHDR_STRICT = 1
IPV6_RTHDR_TYPE_0 = 0
IPV6_DEFAULT_MULTICAST_HOPS = 1
IPV6_DEFAULT_MULTICAST_LOOP = 1
IPV6_PORTRANGE_DEFAULT = 0
IPV6_PORTRANGE_HIGH = 1
IPV6_PORTRANGE_LOW = 2
IPV6PROTO_MAXID = (IPPROTO_PIM + 1)
IPV6CTL_FORWARDING = 1
IPV6CTL_SENDREDIRECTS = 2
IPV6CTL_DEFHLIM = 3
IPV6CTL_DEFMTU = 4
IPV6CTL_FORWSRCRT = 5
IPV6CTL_STATS = 6
IPV6CTL_MRTSTATS = 7
IPV6CTL_MRTPROTO = 8
IPV6CTL_MAXFRAGPACKETS = 9
IPV6CTL_SOURCECHECK = 10
IPV6CTL_SOURCECHECK_LOGINT = 11
IPV6CTL_ACCEPT_RTADV = 12
IPV6CTL_KEEPFAITH = 13
IPV6CTL_LOG_INTERVAL = 14
IPV6CTL_HDRNESTLIMIT = 15
IPV6CTL_DAD_COUNT = 16
IPV6CTL_AUTO_FLOWLABEL = 17
IPV6CTL_DEFMCASTHLIM = 18
IPV6CTL_GIF_HLIM = 19
IPV6CTL_KAME_VERSION = 20
IPV6CTL_USE_DEPRECATED = 21
IPV6CTL_RR_PRUNE = 22
IPV6CTL_MAPPED_ADDR = 23
IPV6CTL_V6ONLY = 24
IPV6CTL_RTEXPIRE = 25
IPV6CTL_RTMINEXPIRE = 26
IPV6CTL_RTMAXCACHE = 27
IPV6CTL_USETEMPADDR = 32
IPV6CTL_TEMPPLTIME = 33
IPV6CTL_TEMPVLTIME = 34
IPV6CTL_AUTO_LINKLOCAL = 35
IPV6CTL_RIP6STATS = 36
IPV6CTL_PREFER_TEMPADDR = 37
IPV6CTL_ADDRCTLPOLICY = 38
IPV6CTL_MAXFRAGS = 41
IPV6CTL_MAXID = 42
| def __p(protos):
return protos
def __string(x):
return
def __xstring(x):
return __string(x)
def __p(protos):
return ()
def __string(x):
return 'x'
def __aligned(x):
return __attribute__(__aligned__(x))
def __section(x):
return __attribute__(__section__(x))
def __aligned(x):
return __attribute__(__aligned__(x))
def __section(x):
return __attribute__(__section__(x))
def __nonnull(x):
return __attribute__(__nonnull__(x))
def __predict_true(exp):
return __builtin_expect(exp, 1)
def __predict_false(exp):
return __builtin_expect(exp, 0)
def __predict_true(exp):
return exp
def __predict_false(exp):
return exp
def __fbsdid(s):
return __idstring(__concat(__rcsid_, __LINE__), s)
def __rcsid(s):
return __idstring(__concat(__rcsid_, __LINE__), s)
def __rcsid_source(s):
return __idstring(__concat(__rcsid_source_, __LINE__), s)
def __sccsid(s):
return __idstring(__concat(__sccsid_, __LINE__), s)
def __copyright(s):
return __idstring(__concat(__copyright_, __LINE__), s)
_posix_c_source = 199009
_posix_c_source = 199209
__xsi_visible = 600
_posix_c_source = 200112
__xsi_visible = 500
_posix_c_source = 199506
_posix_c_source = 198808
__posix_visible = 200112
__iso_c_visible = 1999
__posix_visible = 199506
__iso_c_visible = 1990
__posix_visible = 199309
__iso_c_visible = 1990
__posix_visible = 199209
__iso_c_visible = 1990
__posix_visible = 199009
__iso_c_visible = 1990
__posix_visible = 198808
__iso_c_visible = 0
__posix_visible = 0
__xsi_visible = 0
__bsd_visible = 0
__iso_c_visible = 1990
__posix_visible = 0
__xsi_visible = 0
__bsd_visible = 0
__iso_c_visible = 1999
__posix_visible = 200112
__xsi_visible = 600
__bsd_visible = 1
__iso_c_visible = 1999
_quad_highword = 1
_quad_lowword = 0
_little_endian = 1234
_big_endian = 4321
_pdp_endian = 3412
_byte_order = _LITTLE_ENDIAN
little_endian = _LITTLE_ENDIAN
big_endian = _BIG_ENDIAN
pdp_endian = _PDP_ENDIAN
byte_order = _BYTE_ORDER
__intel_compiler_with__free_bsd_endian = 1
__intel_compiler_with__free_bsd_endian = 1
def __word_swap_int_var(x):
return
def __word_swap_int_const(x):
return
def __word_swap_int(x):
return __word_swap_int_var(x)
def __byte_swap_int_var(x):
return
def __byte_swap_int_var(x):
return
def __byte_swap_int_const(x):
return
def __byte_swap_int(x):
return __byte_swap_int_var(x)
def __byte_swap_word_var(x):
return
def __byte_swap_word_const(x):
return
def __byte_swap_word(x):
return __byte_swap_word_var(x)
def __htonl(x):
return __bswap32(x)
def __htons(x):
return __bswap16(x)
def __ntohl(x):
return __bswap32(x)
def __ntohs(x):
return __bswap16(x)
ipproto_ip = 0
ipproto_icmp = 1
ipproto_tcp = 6
ipproto_udp = 17
def htonl(x):
return __htonl(x)
def htons(x):
return __htons(x)
def ntohl(x):
return __ntohl(x)
def ntohs(x):
return __ntohs(x)
ipproto_raw = 255
inet_addrstrlen = 16
ipproto_hopopts = 0
ipproto_igmp = 2
ipproto_ggp = 3
ipproto_ipv4 = 4
ipproto_ipip = IPPROTO_IPV4
ipproto_st = 7
ipproto_egp = 8
ipproto_pigp = 9
ipproto_rccmon = 10
ipproto_nvpii = 11
ipproto_pup = 12
ipproto_argus = 13
ipproto_emcon = 14
ipproto_xnet = 15
ipproto_chaos = 16
ipproto_mux = 18
ipproto_meas = 19
ipproto_hmp = 20
ipproto_prm = 21
ipproto_idp = 22
ipproto_trunk1 = 23
ipproto_trunk2 = 24
ipproto_leaf1 = 25
ipproto_leaf2 = 26
ipproto_rdp = 27
ipproto_irtp = 28
ipproto_tp = 29
ipproto_blt = 30
ipproto_nsp = 31
ipproto_inp = 32
ipproto_sep = 33
ipproto_3_pc = 34
ipproto_idpr = 35
ipproto_xtp = 36
ipproto_ddp = 37
ipproto_cmtp = 38
ipproto_tpxx = 39
ipproto_il = 40
ipproto_ipv6 = 41
ipproto_sdrp = 42
ipproto_routing = 43
ipproto_fragment = 44
ipproto_idrp = 45
ipproto_rsvp = 46
ipproto_gre = 47
ipproto_mhrp = 48
ipproto_bha = 49
ipproto_esp = 50
ipproto_ah = 51
ipproto_inlsp = 52
ipproto_swipe = 53
ipproto_nhrp = 54
ipproto_mobile = 55
ipproto_tlsp = 56
ipproto_skip = 57
ipproto_icmpv6 = 58
ipproto_none = 59
ipproto_dstopts = 60
ipproto_ahip = 61
ipproto_cftp = 62
ipproto_hello = 63
ipproto_satexpak = 64
ipproto_kryptolan = 65
ipproto_rvd = 66
ipproto_ippc = 67
ipproto_adfs = 68
ipproto_satmon = 69
ipproto_visa = 70
ipproto_ipcv = 71
ipproto_cpnx = 72
ipproto_cphb = 73
ipproto_wsn = 74
ipproto_pvp = 75
ipproto_brsatmon = 76
ipproto_nd = 77
ipproto_wbmon = 78
ipproto_wbexpak = 79
ipproto_eon = 80
ipproto_vmtp = 81
ipproto_svmtp = 82
ipproto_vines = 83
ipproto_ttp = 84
ipproto_igp = 85
ipproto_dgp = 86
ipproto_tcf = 87
ipproto_igrp = 88
ipproto_ospfigp = 89
ipproto_srpc = 90
ipproto_larp = 91
ipproto_mtp = 92
ipproto_ax25 = 93
ipproto_ipeip = 94
ipproto_micp = 95
ipproto_sccsp = 96
ipproto_etherip = 97
ipproto_encap = 98
ipproto_apes = 99
ipproto_gmtp = 100
ipproto_ipcomp = 108
ipproto_pim = 103
ipproto_pgm = 113
ipproto_pfsync = 240
ipproto_old_divert = 254
ipproto_max = 256
ipproto_done = 257
ipproto_divert = 258
ipport_reserved = 1024
ipport_hifirstauto = 49152
ipport_hilastauto = 65535
ipport_reservedstart = 600
ipport_max = 65535
def in_classa(i):
return u_int32_t(i) & -2147483648 == 0
in_classa_net = -16777216
in_classa_nshift = 24
in_classa_host = 16777215
in_classa_max = 128
def in_classb(i):
return u_int32_t(i) & -1073741824 == -2147483648
in_classb_net = -65536
in_classb_nshift = 16
in_classb_host = 65535
in_classb_max = 65536
def in_classc(i):
return u_int32_t(i) & -536870912 == -1073741824
in_classc_net = -256
in_classc_nshift = 8
in_classc_host = 255
def in_classd(i):
return u_int32_t(i) & -268435456 == -536870912
in_classd_net = -268435456
in_classd_nshift = 28
in_classd_host = 268435455
def in_multicast(i):
return in_classd(i)
def in_experimental(i):
return u_int32_t(i) & -268435456 == -268435456
def in_badclass(i):
return u_int32_t(i) & -268435456 == -268435456
inaddr_none = -1
in_loopbacknet = 127
ip_options = 1
ip_hdrincl = 2
ip_tos = 3
ip_ttl = 4
ip_recvopts = 5
ip_recvretopts = 6
ip_recvdstaddr = 7
ip_sendsrcaddr = IP_RECVDSTADDR
ip_retopts = 8
ip_multicast_if = 9
ip_multicast_ttl = 10
ip_multicast_loop = 11
ip_add_membership = 12
ip_drop_membership = 13
ip_multicast_vif = 14
ip_rsvp_on = 15
ip_rsvp_off = 16
ip_rsvp_vif_on = 17
ip_rsvp_vif_off = 18
ip_portrange = 19
ip_recvif = 20
ip_ipsec_policy = 21
ip_faith = 22
ip_onesbcast = 23
ip_fw_table_add = 40
ip_fw_table_del = 41
ip_fw_table_flush = 42
ip_fw_table_getsize = 43
ip_fw_table_list = 44
ip_fw_add = 50
ip_fw_del = 51
ip_fw_flush = 52
ip_fw_zero = 53
ip_fw_get = 54
ip_fw_resetlog = 55
ip_dummynet_configure = 60
ip_dummynet_del = 61
ip_dummynet_flush = 62
ip_dummynet_get = 64
ip_recvttl = 65
ip_default_multicast_ttl = 1
ip_default_multicast_loop = 1
ip_max_memberships = 20
ip_portrange_default = 0
ip_portrange_high = 1
ip_portrange_low = 2
ipproto_maxid = IPPROTO_AH + 1
ipctl_forwarding = 1
ipctl_sendredirects = 2
ipctl_defttl = 3
ipctl_defmtu = 4
ipctl_rtexpire = 5
ipctl_rtminexpire = 6
ipctl_rtmaxcache = 7
ipctl_sourceroute = 8
ipctl_directedbroadcast = 9
ipctl_intrqmaxlen = 10
ipctl_intrqdrops = 11
ipctl_stats = 12
ipctl_acceptsourceroute = 13
ipctl_fastforwarding = 14
ipctl_keepfaith = 15
ipctl_gif_ttl = 16
ipctl_maxid = 17
def in_nullhost(x):
return x.s_addr == INADDR_ANY
__kame_version = '20010528/FreeBSD'
ipv6_port_reserved = 1024
ipv6_port_anonmin = 49152
ipv6_port_anonmax = 65535
ipv6_port_reservedmin = 600
ipv6_port_reservedmax = IPV6PORT_RESERVED - 1
inet6_addrstrlen = 46
ipv6_addr_int32_one = 1
ipv6_addr_int32_two = 2
ipv6_addr_int32_mnl = -16711680
ipv6_addr_int32_mll = -16646144
ipv6_addr_int32_smp = 65535
ipv6_addr_int16_ull = 65152
ipv6_addr_int16_usl = 65216
ipv6_addr_int16_mll = 65282
ipv6_addr_int32_one = 16777216
ipv6_addr_int32_two = 33554432
ipv6_addr_int32_mnl = 511
ipv6_addr_int32_mll = 767
ipv6_addr_int32_smp = -65536
ipv6_addr_int16_ull = 33022
ipv6_addr_int16_usl = 49406
ipv6_addr_int16_mll = 767
def in6_is_addr_unspecified(a):
return
def in6_is_addr_loopback(a):
return
def in6_is_addr_v4_compat(a):
return
def in6_is_addr_v4_mapped(a):
return
ipv6_addr_scope_nodelocal = 1
ipv6_addr_scope_intfacelocal = 1
ipv6_addr_scope_linklocal = 2
ipv6_addr_scope_sitelocal = 5
ipv6_addr_scope_orglocal = 8
ipv6_addr_scope_global = 14
__ipv6_addr_scope_nodelocal = 1
__ipv6_addr_scope_intfacelocal = 1
__ipv6_addr_scope_linklocal = 2
__ipv6_addr_scope_sitelocal = 5
__ipv6_addr_scope_orglocal = 8
__ipv6_addr_scope_global = 14
def in6_is_addr_linklocal(a):
return
def in6_is_addr_sitelocal(a):
return
def in6_is_addr_mc_nodelocal(a):
return
def in6_is_addr_mc_intfacelocal(a):
return
def in6_is_addr_mc_linklocal(a):
return
def in6_is_addr_mc_sitelocal(a):
return
def in6_is_addr_mc_orglocal(a):
return
def in6_is_addr_mc_global(a):
return
def in6_is_addr_mc_nodelocal(a):
return
def in6_is_addr_mc_linklocal(a):
return
def in6_is_addr_mc_sitelocal(a):
return
def in6_is_addr_mc_orglocal(a):
return
def in6_is_addr_mc_global(a):
return
def in6_is_scope_linklocal(a):
return
def ifa6_is_deprecated(a):
return
def ifa6_is_invalid(a):
return
ipv6_options = 1
ipv6_recvopts = 5
ipv6_recvretopts = 6
ipv6_recvdstaddr = 7
ipv6_retopts = 8
ipv6_sockopt_reserved1 = 3
ipv6_unicast_hops = 4
ipv6_multicast_if = 9
ipv6_multicast_hops = 10
ipv6_multicast_loop = 11
ipv6_join_group = 12
ipv6_leave_group = 13
ipv6_portrange = 14
icmp6_filter = 18
ipv6_2292_pktinfo = 19
ipv6_2292_hoplimit = 20
ipv6_2292_nexthop = 21
ipv6_2292_hopopts = 22
ipv6_2292_dstopts = 23
ipv6_2292_rthdr = 24
ipv6_2292_pktoptions = 25
ipv6_checksum = 26
ipv6_v6_only = 27
ipv6_bindv6_only = IPV6_V6ONLY
ipv6_ipsec_policy = 28
ipv6_faith = 29
ipv6_fw_add = 30
ipv6_fw_del = 31
ipv6_fw_flush = 32
ipv6_fw_zero = 33
ipv6_fw_get = 34
ipv6_rthdrdstopts = 35
ipv6_recvpktinfo = 36
ipv6_recvhoplimit = 37
ipv6_recvrthdr = 38
ipv6_recvhopopts = 39
ipv6_recvdstopts = 40
ipv6_recvrthdrdstopts = 41
ipv6_use_min_mtu = 42
ipv6_recvpathmtu = 43
ipv6_pathmtu = 44
ipv6_reachconf = 45
ipv6_pktinfo = 46
ipv6_hoplimit = 47
ipv6_nexthop = 48
ipv6_hopopts = 49
ipv6_dstopts = 50
ipv6_rthdr = 51
ipv6_pktoptions = 52
ipv6_recvtclass = 57
ipv6_autoflowlabel = 59
ipv6_tclass = 61
ipv6_dontfrag = 62
ipv6_prefer_tempaddr = 63
ipv6_rthdr_loose = 0
ipv6_rthdr_strict = 1
ipv6_rthdr_type_0 = 0
ipv6_default_multicast_hops = 1
ipv6_default_multicast_loop = 1
ipv6_portrange_default = 0
ipv6_portrange_high = 1
ipv6_portrange_low = 2
ipv6_proto_maxid = IPPROTO_PIM + 1
ipv6_ctl_forwarding = 1
ipv6_ctl_sendredirects = 2
ipv6_ctl_defhlim = 3
ipv6_ctl_defmtu = 4
ipv6_ctl_forwsrcrt = 5
ipv6_ctl_stats = 6
ipv6_ctl_mrtstats = 7
ipv6_ctl_mrtproto = 8
ipv6_ctl_maxfragpackets = 9
ipv6_ctl_sourcecheck = 10
ipv6_ctl_sourcecheck_logint = 11
ipv6_ctl_accept_rtadv = 12
ipv6_ctl_keepfaith = 13
ipv6_ctl_log_interval = 14
ipv6_ctl_hdrnestlimit = 15
ipv6_ctl_dad_count = 16
ipv6_ctl_auto_flowlabel = 17
ipv6_ctl_defmcasthlim = 18
ipv6_ctl_gif_hlim = 19
ipv6_ctl_kame_version = 20
ipv6_ctl_use_deprecated = 21
ipv6_ctl_rr_prune = 22
ipv6_ctl_mapped_addr = 23
ipv6_ctl_v6_only = 24
ipv6_ctl_rtexpire = 25
ipv6_ctl_rtminexpire = 26
ipv6_ctl_rtmaxcache = 27
ipv6_ctl_usetempaddr = 32
ipv6_ctl_temppltime = 33
ipv6_ctl_tempvltime = 34
ipv6_ctl_auto_linklocal = 35
ipv6_ctl_rip6_stats = 36
ipv6_ctl_prefer_tempaddr = 37
ipv6_ctl_addrctlpolicy = 38
ipv6_ctl_maxfrags = 41
ipv6_ctl_maxid = 42 |
class Mode(object):
"""Represents one of several interface modes"""
BUTTON_PRESS=1
DPAD_MOVE=2
def __init__(self, name, color="#FFFFFF"):
"""Make an instance.
:param string name: Name for reference and reporting
:param string color: HEX code (hash optional) to light up on key presses on this mode
"""
self.name=name
self.color=color
self.actions = {}
def _addAction(self, switches, action):
switchBits = 0x0
if type(switches) is int:
switchBits = 0x1 << switches
elif isinstance(switches, (list, tuple)):
for s in switches:
sBits = 0x1 << s
switchBits |= sBits
self.actions[switchBits]= action
def buttonPress(self, switches, buttonNum):
self._addAction(switches, (Mode.BUTTON_PRESS, buttonNum))
def dpadMove(self, switches, x, y):
self._addAction(switches, (Mode.DPAD_MOVE, x, y)) | class Mode(object):
"""Represents one of several interface modes"""
button_press = 1
dpad_move = 2
def __init__(self, name, color='#FFFFFF'):
"""Make an instance.
:param string name: Name for reference and reporting
:param string color: HEX code (hash optional) to light up on key presses on this mode
"""
self.name = name
self.color = color
self.actions = {}
def _add_action(self, switches, action):
switch_bits = 0
if type(switches) is int:
switch_bits = 1 << switches
elif isinstance(switches, (list, tuple)):
for s in switches:
s_bits = 1 << s
switch_bits |= sBits
self.actions[switchBits] = action
def button_press(self, switches, buttonNum):
self._addAction(switches, (Mode.BUTTON_PRESS, buttonNum))
def dpad_move(self, switches, x, y):
self._addAction(switches, (Mode.DPAD_MOVE, x, y)) |
class AuthenticationScheme:
"""Authentication Scheme options."""
GUEST = 'guest'
PLAIN = 'plain'
TRANSPORT = 'transport'
KEY = 'key'
EXTERNAL = 'external'
| class Authenticationscheme:
"""Authentication Scheme options."""
guest = 'guest'
plain = 'plain'
transport = 'transport'
key = 'key'
external = 'external' |
__title__ = 'splitwise'
__description__ = 'Splitwise Python SDK'
__version__ = '2.1.0'
__url__ = 'https://github.com/namaggarwal/splitwise'
__download_url__ = 'https://github.com/namaggarwal/splitwise/tarball/v'+__version__
__build__ = 0x022400
__author__ = 'Naman Aggarwal'
__author_email__ = 'aggarwal.nam@gmail.com'
__license__ = 'MIT'
__copyright__ = 'Copyright 2020 Naman Aggarwal'
| __title__ = 'splitwise'
__description__ = 'Splitwise Python SDK'
__version__ = '2.1.0'
__url__ = 'https://github.com/namaggarwal/splitwise'
__download_url__ = 'https://github.com/namaggarwal/splitwise/tarball/v' + __version__
__build__ = 140288
__author__ = 'Naman Aggarwal'
__author_email__ = 'aggarwal.nam@gmail.com'
__license__ = 'MIT'
__copyright__ = 'Copyright 2020 Naman Aggarwal' |
# chapter 11 pdb
print('This still works')
1/0
print('we should not reach this code.')
# python3 -m pdb cp11_pdb.py | print('This still works')
1 / 0
print('we should not reach this code.') |
class Solution:
def minWindow(self, s: str, t: str) -> str:
# 1. Use two pointers: start and end to represent a window.
# 2. Move end to find a valid window.
# 3. When a valid window is found, move start to find a smaller window.
if t == "":
return ""
countT, window = {}, {}
# count chars in t string
for char in t:
countT[char] = 1 + countT.get(char, 0)
# keep track of chars in window
have, need = 0, len(countT)
res, length = [-1, -1], float("inf")
left = 0
for right in range(len(s)):
c = s[right]
window[c] = 1 + window.get(c, 0)
if c in countT and window[c] == countT[c]:
have += 1
while have == need:
# update our result
curr_window = right - left + 1
if curr_window < length:
res = [left, right]
length = curr_window
# pop from left of our window
window[s[left]] -= 1
if s[left] in countT and window[s[left]] < countT[s[left]]:
have -= 1
left += 1
left, right = res
return s[left: right+1] if length != float("inf") else "" | class Solution:
def min_window(self, s: str, t: str) -> str:
if t == '':
return ''
(count_t, window) = ({}, {})
for char in t:
countT[char] = 1 + countT.get(char, 0)
(have, need) = (0, len(countT))
(res, length) = ([-1, -1], float('inf'))
left = 0
for right in range(len(s)):
c = s[right]
window[c] = 1 + window.get(c, 0)
if c in countT and window[c] == countT[c]:
have += 1
while have == need:
curr_window = right - left + 1
if curr_window < length:
res = [left, right]
length = curr_window
window[s[left]] -= 1
if s[left] in countT and window[s[left]] < countT[s[left]]:
have -= 1
left += 1
(left, right) = res
return s[left:right + 1] if length != float('inf') else '' |
_base_ = [
'../_base_/models/fcn_hr18.py', '../_base_/datasets/stanford.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
]
norm_cfg = dict(type='BN', requires_grad=True)
model = dict(
backbone = dict(
norm_cfg = norm_cfg
),
decode_head=dict(
norm_cfg = norm_cfg,
num_classes=8
)
)
runner = dict(max_iters = 1000)
evaluation = dict(interval = 100)
checkpoint_config = dict(interval = 1000)
| _base_ = ['../_base_/models/fcn_hr18.py', '../_base_/datasets/stanford.py', '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py']
norm_cfg = dict(type='BN', requires_grad=True)
model = dict(backbone=dict(norm_cfg=norm_cfg), decode_head=dict(norm_cfg=norm_cfg, num_classes=8))
runner = dict(max_iters=1000)
evaluation = dict(interval=100)
checkpoint_config = dict(interval=1000) |
n, a, b = map(int, input().split())
if abs(a - b) % 2 == 0:
print("Alice")
else:
print("Borys") | (n, a, b) = map(int, input().split())
if abs(a - b) % 2 == 0:
print('Alice')
else:
print('Borys') |
class Solution:
def robotSim(self, commands: List[int], obstacles: List[List[int]]) -> int:
p, s, m = [0, 0, 90], set(tuple(o) for o in obstacles), 0
for c in commands:
if c == -1: p[2] = (p[2] - 90) % 360
elif c == -2: p[2] = (p[2] + 90) % 360
else:
j, k = 1 if p[2] % 180 else 0, 1 if not p[2] or p[2] == 90 else -1
for i in range(1, c+1):
p[j] += k
if (p[0], p[1]) in s:
p[j] -= k
break
m = max(m, p[0]**2 + p[1]**2)
return m | class Solution:
def robot_sim(self, commands: List[int], obstacles: List[List[int]]) -> int:
(p, s, m) = ([0, 0, 90], set((tuple(o) for o in obstacles)), 0)
for c in commands:
if c == -1:
p[2] = (p[2] - 90) % 360
elif c == -2:
p[2] = (p[2] + 90) % 360
else:
(j, k) = (1 if p[2] % 180 else 0, 1 if not p[2] or p[2] == 90 else -1)
for i in range(1, c + 1):
p[j] += k
if (p[0], p[1]) in s:
p[j] -= k
break
m = max(m, p[0] ** 2 + p[1] ** 2)
return m |
{
"targets": [
{
"target_name": "waveshare5in83bv2",
"cflags!": [
"-fno-exceptions",
"-Wextra"
],
"cflags_cc!": [ "-fno-exceptions" ],
"sources": [
"./src/c/EPD_5in83b_V2_node.cc",
"./src/c/DEV_Config.c",
"./src/c/EPD_5in83b_V2.c",
"./src/c/dev_hardware_SPI.c",
"./src/c/RPI_sysfs_gpio.c"
],
"defines": [
"RPI",
"USE_DEV_LIB",
"NAPI_DISABLE_CPP_EXCEPTIONS"
],
"include_dirs": [
"<!@(node -p \"require('node-addon-api').include\")"
],
"libraries": [
"-lm"
]
}
]
}
| {'targets': [{'target_name': 'waveshare5in83bv2', 'cflags!': ['-fno-exceptions', '-Wextra'], 'cflags_cc!': ['-fno-exceptions'], 'sources': ['./src/c/EPD_5in83b_V2_node.cc', './src/c/DEV_Config.c', './src/c/EPD_5in83b_V2.c', './src/c/dev_hardware_SPI.c', './src/c/RPI_sysfs_gpio.c'], 'defines': ['RPI', 'USE_DEV_LIB', 'NAPI_DISABLE_CPP_EXCEPTIONS'], 'include_dirs': ['<!@(node -p "require(\'node-addon-api\').include")'], 'libraries': ['-lm']}]} |
# Open new tabs (middleclick/ctrl+click) in the background.
# Type: Bool
c.tabs.background = True
# Mouse button with which to close tabs.
# Type: String
# Valid values:
# - right: Close tabs on right-click.
# - middle: Close tabs on middle-click.
# - none: Don't close tabs using the mouse.
c.tabs.close_mouse_button = "right"
# How to behave when the close mouse button is pressed on the tab bar.
# Type: String
# Valid values:
# - new-tab: Open a new tab.
# - close-current: Close the current tab.
# - close-last: Close the last tab.
# - ignore: Don't do anything.
c.tabs.close_mouse_button_on_bar = "new-tab"
# Scaling factor for favicons in the tab bar. The tab size is unchanged,
# so big favicons also require extra `tabs.padding`.
# Type: Float
c.tabs.favicons.scale = 1.0
# When to show favicons in the tab bar.
# Type: String
# Valid values:
# - always: Always show favicons.
# - never: Always hide favicons.
# - pinned: Show favicons only on pinned tabs.
c.tabs.favicons.show = "pinned"
# How to behave when the last tab is closed.
# Type: String
# Valid values:
# - ignore: Don't do anything.
# - blank: Load a blank page.
# - startpage: Load the start page.
# - default-page: Load the default page.
# - close: Close the window.
c.tabs.last_close = "ignore"
# Switch between tabs using the mouse wheel.
# Type: Bool
c.tabs.mousewheel_switching = False
# Position of new tabs opened from another tab. See
# `tabs.new_position.stacking` for controlling stacking behavior.
# Type: NewTabPosition
# Valid values:
# - prev: Before the current tab.
# - next: After the current tab.
# - first: At the beginning.
# - last: At the end.
c.tabs.new_position.related = "next"
# Position of new tabs which are not opened from another tab. See
# `tabs.new_position.stacking` for controlling stacking behavior.
# Type: NewTabPosition
# Valid values:
# - prev: Before the current tab.
# - next: After the current tab.
# - first: At the beginning.
# - last: At the end.
c.tabs.new_position.unrelated = "last"
# Stack related tabs on top of each other when opened consecutively.
# Only applies for `next` and `prev` values of
# `tabs.new_position.related` and `tabs.new_position.unrelated`.
# Type: Bool
c.tabs.new_position.stacking = True
# Padding (in pixels) around text for tabs.
# Type: Padding
c.tabs.padding = {"bottom": 2, "left": 5, "right": 5, "top": 3}
# When switching tabs, what input mode is applied.
# Type: String
# Valid values:
# - persist: Retain the current mode.
# - restore: Restore previously saved mode.
# - normal: Always revert to normal mode.
c.tabs.mode_on_change = "normal"
# Position of the tab bar.
# Type: Position
# Valid values:
# - top
# - bottom
# - left
# - right
c.tabs.position = "bottom"
# Which tab to select when the focused tab is removed.
# Type: SelectOnRemove
# Valid values:
# - prev: Select the tab which came before the closed one (left in horizontal, above in vertical).
# - next: Select the tab which came after the closed one (right in horizontal, below in vertical).
# - last-used: Select the previously selected tab.
c.tabs.select_on_remove = "next"
# When to show the tab bar.
# Type: String
# Valid values:
# - always: Always show the tab bar.
# - never: Always hide the tab bar.
# - multiple: Hide the tab bar if only one tab is open.
# - switching: Show the tab bar when switching tabs.
c.tabs.show = "multiple"
# Duration (in milliseconds) to show the tab bar before hiding it when
# tabs.show is set to 'switching'.
# Type: Int
c.tabs.show_switching_delay = 800
# Open a new window for every tab.
# Type: Bool
c.tabs.tabs_are_windows = False
# Alignment of the text inside of tabs.
# Type: TextAlignment
# Valid values:
# - left
# - right
# - center
c.tabs.title.alignment = "center"
# Format to use for the tab title. The following placeholders are
# defined: * `{perc}`: Percentage as a string like `[10%]`. *
# `{perc_raw}`: Raw percentage, e.g. `10`. * `{current_title}`: Title of
# the current web page. * `{title_sep}`: The string ` - ` if a title is
# set, empty otherwise. * `{index}`: Index of this tab. * `{id}`:
# Internal tab ID of this tab. * `{scroll_pos}`: Page scroll position. *
# `{host}`: Host of the current web page. * `{backend}`: Either
# ''webkit'' or ''webengine'' * `{private}`: Indicates when private mode
# is enabled. * `{current_url}`: URL of the current web page. *
# `{protocol}`: Protocol (http/https/...) of the current web page. *
# `{audio}`: Indicator for audio/mute status.
# Type: FormatString
c.tabs.title.format = "{audio}{index}: {perc}{current_title}"
# Format to use for the tab title for pinned tabs. The same placeholders
# like for `tabs.title.format` are defined.
# Type: FormatString
c.tabs.title.format_pinned = "{index}"
# Width (in pixels or as percentage of the window) of the tab bar if
# it's vertical.
# Type: PercOrInt
c.tabs.width = "20%"
# Minimum width (in pixels) of tabs (-1 for the default minimum size
# behavior). This setting only applies when tabs are horizontal. This
# setting does not apply to pinned tabs, unless `tabs.pinned.shrink` is
# False.
# Type: Int
c.tabs.min_width = -1
# Maximum width (in pixels) of tabs (-1 for no maximum). This setting
# only applies when tabs are horizontal. This setting does not apply to
# pinned tabs, unless `tabs.pinned.shrink` is False. This setting may
# not apply properly if max_width is smaller than the minimum size of
# tab contents, or smaller than tabs.min_width.
# Type: Int
c.tabs.max_width = -1
# Width (in pixels) of the progress indicator (0 to disable).
# Type: Int
c.tabs.indicator.width = 3
# Padding (in pixels) for tab indicators.
# Type: Padding
c.tabs.indicator.padding = {"bottom": 2, "left": 0, "right": 4, "top": 2}
# Shrink pinned tabs down to their contents.
# Type: Bool
c.tabs.pinned.shrink = True
# Force pinned tabs to stay at fixed URL.
# Type: Bool
c.tabs.pinned.frozen = True
# Number of close tab actions to remember, per window (-1 for no
# maximum).
# Type: Int
c.tabs.undo_stack_size = 100
# Wrap when changing tabs.
# Type: Bool
c.tabs.wrap = True
| c.tabs.background = True
c.tabs.close_mouse_button = 'right'
c.tabs.close_mouse_button_on_bar = 'new-tab'
c.tabs.favicons.scale = 1.0
c.tabs.favicons.show = 'pinned'
c.tabs.last_close = 'ignore'
c.tabs.mousewheel_switching = False
c.tabs.new_position.related = 'next'
c.tabs.new_position.unrelated = 'last'
c.tabs.new_position.stacking = True
c.tabs.padding = {'bottom': 2, 'left': 5, 'right': 5, 'top': 3}
c.tabs.mode_on_change = 'normal'
c.tabs.position = 'bottom'
c.tabs.select_on_remove = 'next'
c.tabs.show = 'multiple'
c.tabs.show_switching_delay = 800
c.tabs.tabs_are_windows = False
c.tabs.title.alignment = 'center'
c.tabs.title.format = '{audio}{index}: {perc}{current_title}'
c.tabs.title.format_pinned = '{index}'
c.tabs.width = '20%'
c.tabs.min_width = -1
c.tabs.max_width = -1
c.tabs.indicator.width = 3
c.tabs.indicator.padding = {'bottom': 2, 'left': 0, 'right': 4, 'top': 2}
c.tabs.pinned.shrink = True
c.tabs.pinned.frozen = True
c.tabs.undo_stack_size = 100
c.tabs.wrap = True |
# Question Validation
def hNvalidation(sentence):
flag = 1
Length = len(sentence)
if (Length > 4):
for i in range(Length):
if (i+4 < Length):
if (sentence[i]==' ' and sentence[i+1]=='h' and sentence[i+2]==' ' and sentence[i+3]=='N' and sentence[i+4]==' '):
flag = 0
return flag
| def h_nvalidation(sentence):
flag = 1
length = len(sentence)
if Length > 4:
for i in range(Length):
if i + 4 < Length:
if sentence[i] == ' ' and sentence[i + 1] == 'h' and (sentence[i + 2] == ' ') and (sentence[i + 3] == 'N') and (sentence[i + 4] == ' '):
flag = 0
return flag |
class Solution(object):
def _numTrees(self, n):
"""
:type n: int
:rtype: int
"""
dp = [0] * (n + 1)
dp[0] = dp[1] = 1
for i in range(2, n + 1):
for j in range(1, i + 1):
dp[i] += dp[j - 1] * dp[i - j]
return dp[-1]
def numTrees(self, n):
ans = 1
for i in range(1, n + 1):
ans = ans * (n + i) / i
return ans / (n + 1)
| class Solution(object):
def _num_trees(self, n):
"""
:type n: int
:rtype: int
"""
dp = [0] * (n + 1)
dp[0] = dp[1] = 1
for i in range(2, n + 1):
for j in range(1, i + 1):
dp[i] += dp[j - 1] * dp[i - j]
return dp[-1]
def num_trees(self, n):
ans = 1
for i in range(1, n + 1):
ans = ans * (n + i) / i
return ans / (n + 1) |
__all__ = [
'admin',
'backends',
'fixtures'
'migrations',
'models',
'schema',
'signals'
'tests',
'views',
'apps'
]
default_app_config = 'app.apps.CruxAppConfig'
| __all__ = ['admin', 'backends', 'fixturesmigrations', 'models', 'schema', 'signalstests', 'views', 'apps']
default_app_config = 'app.apps.CruxAppConfig' |
class Nodo:
'''
class nodo
'''
| class Nodo:
"""
class nodo
""" |
#!/usr/bin/env python3
def break_while():
"""
A function illustrating the use of break in a while loop. Type 'quit' to quit.
:return: None
"""
while True:
i = input('Type something: ')
if i == 'quit':
break
print('You typed:', i)
def continue_while(numbers):
"""
A function illustrating the use of continue in a for loop. This one prints out the even numbers in an iterable.
There are better ways of doing this, but we're using continue to illustrate its use.
:return: Nothing
"""
for n in numbers:
if n % 2:
continue
print(n)
def else_while(n, numbers):
"""
A function illustrating the use of else with a loop. This function will determine if n is in the iterable
numbers.
:param n: The thing to search for.
:param numbers: An iterable to search over.
:return: True if the thing is in the iterable, false otherwise.
"""
# Loop over the numbers
for e in numbers:
# If we've found it, break out of the loop.
if e == n:
break
else:
# The else clause runs if we exited the loop normally (ie, didn't break)
return False
# Otherwise, if we execute break, then we get to here.
return True
if __name__ == '__main__':
break_while()
continue_while(range(10))
print(else_while(3, [1, 4, 2, 5, 2]))
| def break_while():
"""
A function illustrating the use of break in a while loop. Type 'quit' to quit.
:return: None
"""
while True:
i = input('Type something: ')
if i == 'quit':
break
print('You typed:', i)
def continue_while(numbers):
"""
A function illustrating the use of continue in a for loop. This one prints out the even numbers in an iterable.
There are better ways of doing this, but we're using continue to illustrate its use.
:return: Nothing
"""
for n in numbers:
if n % 2:
continue
print(n)
def else_while(n, numbers):
"""
A function illustrating the use of else with a loop. This function will determine if n is in the iterable
numbers.
:param n: The thing to search for.
:param numbers: An iterable to search over.
:return: True if the thing is in the iterable, false otherwise.
"""
for e in numbers:
if e == n:
break
else:
return False
return True
if __name__ == '__main__':
break_while()
continue_while(range(10))
print(else_while(3, [1, 4, 2, 5, 2])) |
"""
Entradas:
Lecturactual-->float-->act
Lecturaanterior-->float-->ant
Salidas:
valorfactura-->float-->total
"""
act=float(input("Lectura actual: "))
ant=float(input("Lectura anterior: "))
consumo=(act-ant)
if(consumo>=0 and consumo<=100):
total=(consumo*4600)
print("Monto a pagar: "+str(total))
elif(consumo>=101 and consumo<=300):
total=(consumo*80000)
print("Monto a pagar: "+str(total))
elif(consumo>=301 and consumo<=500):
total=(consumo*100000)
print("Monto a pagar: "+str(total))
elif(consumo>=501):
total=(consumo*120000)
print("Monto a pagar: "+str(total)) | """
Entradas:
Lecturactual-->float-->act
Lecturaanterior-->float-->ant
Salidas:
valorfactura-->float-->total
"""
act = float(input('Lectura actual: '))
ant = float(input('Lectura anterior: '))
consumo = act - ant
if consumo >= 0 and consumo <= 100:
total = consumo * 4600
print('Monto a pagar: ' + str(total))
elif consumo >= 101 and consumo <= 300:
total = consumo * 80000
print('Monto a pagar: ' + str(total))
elif consumo >= 301 and consumo <= 500:
total = consumo * 100000
print('Monto a pagar: ' + str(total))
elif consumo >= 501:
total = consumo * 120000
print('Monto a pagar: ' + str(total)) |
# Copyright (c) 2016 Cisco and/or its affiliates.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Test variables for ip6-ipsec-lispgpe-ip4 encapsulation test suite."""
# Lisp default global value
locator_name = 'tst_locator'
# Lisp default locator_set value
duts_locator_set = {'locator_name': locator_name,
'priority': 1,
'weight': 1}
# IPv6 Lisp static mapping configuration
dut1_to_dut2_ip4 = '6.6.3.1'
dut2_to_dut1_ip4 = '6.6.3.2'
dut1_to_tg_ip6 = '2001:cdba:1::1'
dut2_to_tg_ip6 = '2001:cdba:2::1'
tg1_ip6 = '2001:cdba:1::2'
tg2_ip6 = '2001:cdba:2::2'
prefix4 = 24
prefix6 = 64
vhost_ip = '2001:cdba:6::3'
lisp_gpe_int = 'lisp_gpe0'
dut1_to_dut2_ip_static_adjacency = {'vni': 0,
'deid': '2001:cdba:2::0',
'seid': '2001:cdba:1::0',
'rloc': dut2_to_dut1_ip4,
'prefix': 64}
dut2_to_dut1_ip_static_adjacency = {'vni': 0,
'deid': '2001:cdba:1::0',
'seid': '2001:cdba:2::0',
'rloc': dut1_to_dut2_ip4,
'prefix': 64}
dut1_ip6_eid = {'locator_name': locator_name,
'vni': 0,
'eid': '2001:cdba:1::0',
'prefix': 64}
dut2_ip6_eid = {'locator_name': locator_name,
'vni': 0,
'eid': '2001:cdba:2::0',
'prefix': 64}
fib_table_1 = 1
dut1_dut2_vni = 1
dut2_spi = 1000
dut1_spi = 1001
ESP_PROTO = 50
sock1 = '/tmp/sock1'
sock2 = '/tmp/sock2'
bid = 10
| """Test variables for ip6-ipsec-lispgpe-ip4 encapsulation test suite."""
locator_name = 'tst_locator'
duts_locator_set = {'locator_name': locator_name, 'priority': 1, 'weight': 1}
dut1_to_dut2_ip4 = '6.6.3.1'
dut2_to_dut1_ip4 = '6.6.3.2'
dut1_to_tg_ip6 = '2001:cdba:1::1'
dut2_to_tg_ip6 = '2001:cdba:2::1'
tg1_ip6 = '2001:cdba:1::2'
tg2_ip6 = '2001:cdba:2::2'
prefix4 = 24
prefix6 = 64
vhost_ip = '2001:cdba:6::3'
lisp_gpe_int = 'lisp_gpe0'
dut1_to_dut2_ip_static_adjacency = {'vni': 0, 'deid': '2001:cdba:2::0', 'seid': '2001:cdba:1::0', 'rloc': dut2_to_dut1_ip4, 'prefix': 64}
dut2_to_dut1_ip_static_adjacency = {'vni': 0, 'deid': '2001:cdba:1::0', 'seid': '2001:cdba:2::0', 'rloc': dut1_to_dut2_ip4, 'prefix': 64}
dut1_ip6_eid = {'locator_name': locator_name, 'vni': 0, 'eid': '2001:cdba:1::0', 'prefix': 64}
dut2_ip6_eid = {'locator_name': locator_name, 'vni': 0, 'eid': '2001:cdba:2::0', 'prefix': 64}
fib_table_1 = 1
dut1_dut2_vni = 1
dut2_spi = 1000
dut1_spi = 1001
esp_proto = 50
sock1 = '/tmp/sock1'
sock2 = '/tmp/sock2'
bid = 10 |
"""
QXPathEditor is an QtPy XPath editor.
It can be used as a standalone application or as library in your
PyQt/PySide application.
"""
__version__ = '0.1.0'
| """
QXPathEditor is an QtPy XPath editor.
It can be used as a standalone application or as library in your
PyQt/PySide application.
"""
__version__ = '0.1.0' |
small_bottles = float(input("Inserisci il numero di bottiglie piccole"))
big_bottles = float(input("Inserisci il numero di bottiglie grandi"))
valore_totale=(small_bottles*0.1)+(big_bottles*0.25)
print("hai guadagnato:",float(valore_totale)) | small_bottles = float(input('Inserisci il numero di bottiglie piccole'))
big_bottles = float(input('Inserisci il numero di bottiglie grandi'))
valore_totale = small_bottles * 0.1 + big_bottles * 0.25
print('hai guadagnato:', float(valore_totale)) |
"""
https://leetcode.com/problems/partition-equal-subset-sum/
Given a non-empty array containing only positive integers, find if the array can be partitioned into two subsets such
that the sum of elements in both subsets is equal.
Note:
Each of the array element will not exceed 100.
The array size will not exceed 200.
Example 1:
Input: [1, 5, 11, 5]
Output: true
Explanation: The array can be partitioned as [1, 5, 5] and [11].
Example 2:
Input: [1, 2, 3, 5]
Output: false
Explanation: The array cannot be partitioned into equal sum subsets.
"""
class Solution(object):
def canPartition(self, nums):
"""
The idea is that after processing each number, whether or not a value in the range of the target sum is reachable
is a function of whether or not the value was previously reachable
:type nums: List[int]
:rtype: bool
"""
if len(nums) <= 1 or sum(nums) % 2 != 0:
return False
target_sum = int(sum(nums) / 2)
dp = [True] + [False] * target_sum
for num in nums:
dp = [
dp[previous_sum]
or (previous_sum >= num and dp[previous_sum - num])
for previous_sum in range(target_sum + 1)
]
if dp[target_sum]:
return True
return False
| """
https://leetcode.com/problems/partition-equal-subset-sum/
Given a non-empty array containing only positive integers, find if the array can be partitioned into two subsets such
that the sum of elements in both subsets is equal.
Note:
Each of the array element will not exceed 100.
The array size will not exceed 200.
Example 1:
Input: [1, 5, 11, 5]
Output: true
Explanation: The array can be partitioned as [1, 5, 5] and [11].
Example 2:
Input: [1, 2, 3, 5]
Output: false
Explanation: The array cannot be partitioned into equal sum subsets.
"""
class Solution(object):
def can_partition(self, nums):
"""
The idea is that after processing each number, whether or not a value in the range of the target sum is reachable
is a function of whether or not the value was previously reachable
:type nums: List[int]
:rtype: bool
"""
if len(nums) <= 1 or sum(nums) % 2 != 0:
return False
target_sum = int(sum(nums) / 2)
dp = [True] + [False] * target_sum
for num in nums:
dp = [dp[previous_sum] or (previous_sum >= num and dp[previous_sum - num]) for previous_sum in range(target_sum + 1)]
if dp[target_sum]:
return True
return False |
n = int(input())
elements = set()
for _ in range(n):
data = input()
if " " in data:
data = data.split(" ")
for el in data:
elements.add(el)
else:
elements.add(data)
for el in elements:
print(el) | n = int(input())
elements = set()
for _ in range(n):
data = input()
if ' ' in data:
data = data.split(' ')
for el in data:
elements.add(el)
else:
elements.add(data)
for el in elements:
print(el) |
# OpenWeatherMap API Key
weather_api_key = "TYPE YOUR KEY HERE!"
# Google API Key
g_key = "TYPE YOUR KEY HERE!"
| weather_api_key = 'TYPE YOUR KEY HERE!'
g_key = 'TYPE YOUR KEY HERE!' |
r"""
Yamanouchi Words
A right (respectively left) Yamanouchi word on a completely ordered
alphabet, for instance [1,2,...,n], is a word math such that any
right (respectively left) factor of math contains more entries math
than math. For example, the word [2, 3, 2, 2, 1, 3, 1, 2, 1, 1] is
a right Yamanouchi one.
The evaluation of a word math encodes the number of occurrences of
each letter of math. In the case of Yamanouchi words, the
evaluation is a partition. For example, the word [2, 3, 2, 2, 1, 3,
1, 2, 1, 1] has evaluation [4, 4, 2].
Yamanouchi words can be useful in the computation of
Littlewood-Richardson coefficients `c_{\lambda, \mu}^\nu`.
According to the Littlewood-Richardson
rule, `c_{\lambda, \mu}^\nu` is the number of skew tableaux
of shape `\nu / \lambda` and evaluation `\mu`,
whose row readings are Yamanouchi words.
"""
| """
Yamanouchi Words
A right (respectively left) Yamanouchi word on a completely ordered
alphabet, for instance [1,2,...,n], is a word math such that any
right (respectively left) factor of math contains more entries math
than math. For example, the word [2, 3, 2, 2, 1, 3, 1, 2, 1, 1] is
a right Yamanouchi one.
The evaluation of a word math encodes the number of occurrences of
each letter of math. In the case of Yamanouchi words, the
evaluation is a partition. For example, the word [2, 3, 2, 2, 1, 3,
1, 2, 1, 1] has evaluation [4, 4, 2].
Yamanouchi words can be useful in the computation of
Littlewood-Richardson coefficients `c_{\\lambda, \\mu}^\\nu`.
According to the Littlewood-Richardson
rule, `c_{\\lambda, \\mu}^\\nu` is the number of skew tableaux
of shape `\\nu / \\lambda` and evaluation `\\mu`,
whose row readings are Yamanouchi words.
""" |
#!/usr/bin/env python3
# package version
__version__ = '3.0.0-beta'
| __version__ = '3.0.0-beta' |
class BingException(Exception):
"""A generic exception for all bing-related exceptions. You can catch all exceptions with this."""
pass
class BadAuth(BingException):
"""An invalid authorization was passed in"""
pass
class NotEnoughResults(BingException):
"""There weren't enough results."""
pass
| class Bingexception(Exception):
"""A generic exception for all bing-related exceptions. You can catch all exceptions with this."""
pass
class Badauth(BingException):
"""An invalid authorization was passed in"""
pass
class Notenoughresults(BingException):
"""There weren't enough results."""
pass |
# Write a program that reads four integer numbers.
# It should add the first to the second number, integer divide the sum by the third number,
# and multiply the result by the fourth number. Print the final result.
i1 = int(input())
i2 = int(input())
i3 = int(input())
i4 = int(input())
result = i1 + i2
result = result // i3
result *= i4
print (result) | i1 = int(input())
i2 = int(input())
i3 = int(input())
i4 = int(input())
result = i1 + i2
result = result // i3
result *= i4
print(result) |
file = {'a':'china',
'b':'us',
'c':'cuba'}
for name, country in file.items():
print(str(name.title()) + ' runs through ' + str(country.title()) + '.')
print(str(name.title()))
print(str(country.title()) + '\n') | file = {'a': 'china', 'b': 'us', 'c': 'cuba'}
for (name, country) in file.items():
print(str(name.title()) + ' runs through ' + str(country.title()) + '.')
print(str(name.title()))
print(str(country.title()) + '\n') |
'''
Author:
Charles
Function:
set options.
'''
# for yolo1
yolo1_options = {
'info': 'yolo1_options',
'max_object': 50,
'backupdir': './backup',
'trainSet': '',
'testSet': '',
'trainlabpth': None,
'testlabpth': None,
'clsnamesfile': './names/coco.names',
'gpus': '0, 1',
'ngpus': 2,
'use_cuda': True,
'num_workers': 4,
'is_multiscale': False,
'by_stride': False,
'header_len': 4,
'weightfile': './weights/yolov1.weights',
'cfgfile': './cfg/yolov1.cfg',
'logsavefile': 'train.log',
'save_interval': 10,
'conf_thresh': 0.25,
'nms_thresh': 0.4,
'iou_thresh': 0.5,
'jitter': 0.2,
'mode': 'test'
}
# for yolo2
yolo2_options = {
'info': 'yolo2_options',
'max_object': 50,
'backupdir': './backup',
'trainSet': '',
'testSet': '',
'trainlabpth': None,
'testlabpth': None,
'clsnamesfile': './names/coco.names',
'gpus': '0, 1',
'ngpus': 2,
'use_cuda': True,
'num_workers': 4,
'is_multiscale': True,
'by_stride': False,
'header_len': 4,
'weightfile': './weights/yolov2.weights',
'cfgfile': './cfg/yolov2.cfg',
'logsavefile': 'train.log',
'save_interval': 10,
'conf_thresh': 0.25,
'nms_thresh': 0.4,
'iou_thresh': 0.5,
'jitter': 0.3,
'mode': 'test'
}
# for yolo3
yolo3_options = {
'info': 'yolo3_options',
'max_object': 50,
'backupdir': './backup',
'trainSet': '',
'testSet': '',
'trainlabpth': None,
'testlabpth': None,
'clsnamesfile': './names/coco.names',
'gpus': '1',
'ngpus': 1,
'use_cuda': True,
'num_workers': 4,
'is_multiscale': True,
'by_stride': True,
'header_len': 5,
'weightfile': './weights/yolov3.weights',
'cfgfile': './cfg/yolov3.cfg',
'logsavefile': 'train.log',
'save_interval': 10,
'conf_thresh': 0.25,
'nms_thresh': 0.4,
'iou_thresh': 0.5,
'jitter': 0.3,
'mode': 'test'
} | """
Author:
Charles
Function:
set options.
"""
yolo1_options = {'info': 'yolo1_options', 'max_object': 50, 'backupdir': './backup', 'trainSet': '', 'testSet': '', 'trainlabpth': None, 'testlabpth': None, 'clsnamesfile': './names/coco.names', 'gpus': '0, 1', 'ngpus': 2, 'use_cuda': True, 'num_workers': 4, 'is_multiscale': False, 'by_stride': False, 'header_len': 4, 'weightfile': './weights/yolov1.weights', 'cfgfile': './cfg/yolov1.cfg', 'logsavefile': 'train.log', 'save_interval': 10, 'conf_thresh': 0.25, 'nms_thresh': 0.4, 'iou_thresh': 0.5, 'jitter': 0.2, 'mode': 'test'}
yolo2_options = {'info': 'yolo2_options', 'max_object': 50, 'backupdir': './backup', 'trainSet': '', 'testSet': '', 'trainlabpth': None, 'testlabpth': None, 'clsnamesfile': './names/coco.names', 'gpus': '0, 1', 'ngpus': 2, 'use_cuda': True, 'num_workers': 4, 'is_multiscale': True, 'by_stride': False, 'header_len': 4, 'weightfile': './weights/yolov2.weights', 'cfgfile': './cfg/yolov2.cfg', 'logsavefile': 'train.log', 'save_interval': 10, 'conf_thresh': 0.25, 'nms_thresh': 0.4, 'iou_thresh': 0.5, 'jitter': 0.3, 'mode': 'test'}
yolo3_options = {'info': 'yolo3_options', 'max_object': 50, 'backupdir': './backup', 'trainSet': '', 'testSet': '', 'trainlabpth': None, 'testlabpth': None, 'clsnamesfile': './names/coco.names', 'gpus': '1', 'ngpus': 1, 'use_cuda': True, 'num_workers': 4, 'is_multiscale': True, 'by_stride': True, 'header_len': 5, 'weightfile': './weights/yolov3.weights', 'cfgfile': './cfg/yolov3.cfg', 'logsavefile': 'train.log', 'save_interval': 10, 'conf_thresh': 0.25, 'nms_thresh': 0.4, 'iou_thresh': 0.5, 'jitter': 0.3, 'mode': 'test'} |
# Cube coordinates: https://www.redblobgames.com/grids/hexagons/
d = open("input.txt").read().splitlines()
g = {}
for l in d:
i = 0
x, y, z = (0, 0, 0)
while i < len(l):
if l[i:].startswith('sw'):
x, y, z = x - 1, y, z + 1
i += 2
elif l[i:].startswith('se'):
x, y, z = x, y - 1, z + 1
i += 2
elif l[i:].startswith('nw'):
x, y, z = x, y + 1, z - 1
i += 2
elif l[i:].startswith('ne'):
x, y, z = x + 1, y, z - 1
i += 2
elif l[i] == 'w':
x, y, z = x - 1, y + 1, z
i += 1
elif l[i] == 'e':
x, y, z = x + 1, y - 1, z
i += 1
g[(x, y, z)] = not g.get((x, y, z), False)
print(sum(g.values()))
dirs = ((-1, 0, 1), (0, -1, 1), (0, 1, -1), (1, 0, -1), (-1, 1, 0), (1, -1, 0))
for i in range(100):
g_new = g.copy()
pos = set(g.keys())
for k in g:
for dx, dy, dz in dirs:
pos.add((k[0] + dx, k[1] + dy, k[2] + dz))
for k in pos:
n = 0
for dx, dy, dz in dirs:
n += g.get((k[0] + dx, k[1] + dy, k[2] + dz), False)
if n == 2:
g_new[k] = True
elif (n == 0 or n > 2) and g.get(k, False):
g_new[k] = False
g = g_new
print(sum(g.values()))
| d = open('input.txt').read().splitlines()
g = {}
for l in d:
i = 0
(x, y, z) = (0, 0, 0)
while i < len(l):
if l[i:].startswith('sw'):
(x, y, z) = (x - 1, y, z + 1)
i += 2
elif l[i:].startswith('se'):
(x, y, z) = (x, y - 1, z + 1)
i += 2
elif l[i:].startswith('nw'):
(x, y, z) = (x, y + 1, z - 1)
i += 2
elif l[i:].startswith('ne'):
(x, y, z) = (x + 1, y, z - 1)
i += 2
elif l[i] == 'w':
(x, y, z) = (x - 1, y + 1, z)
i += 1
elif l[i] == 'e':
(x, y, z) = (x + 1, y - 1, z)
i += 1
g[x, y, z] = not g.get((x, y, z), False)
print(sum(g.values()))
dirs = ((-1, 0, 1), (0, -1, 1), (0, 1, -1), (1, 0, -1), (-1, 1, 0), (1, -1, 0))
for i in range(100):
g_new = g.copy()
pos = set(g.keys())
for k in g:
for (dx, dy, dz) in dirs:
pos.add((k[0] + dx, k[1] + dy, k[2] + dz))
for k in pos:
n = 0
for (dx, dy, dz) in dirs:
n += g.get((k[0] + dx, k[1] + dy, k[2] + dz), False)
if n == 2:
g_new[k] = True
elif (n == 0 or n > 2) and g.get(k, False):
g_new[k] = False
g = g_new
print(sum(g.values())) |
def cards_for_friends(w, h, n):
w2 = 1
while w % 2 == 0:
w2 *= 2
w = w / 2
h2 = 1
while h % 2 == 0:
h2 *= 2
h = h / 2
return w2 * h2 >= n
if __name__ == "__main__":
num_test = int(input())
for i in range(num_test):
w, h, n = [int(i) for i in input().split()]
if cards_for_friends(w, h, n):
print("YES")
else:
print("NO")
| def cards_for_friends(w, h, n):
w2 = 1
while w % 2 == 0:
w2 *= 2
w = w / 2
h2 = 1
while h % 2 == 0:
h2 *= 2
h = h / 2
return w2 * h2 >= n
if __name__ == '__main__':
num_test = int(input())
for i in range(num_test):
(w, h, n) = [int(i) for i in input().split()]
if cards_for_friends(w, h, n):
print('YES')
else:
print('NO') |
# -*- coding: utf-8 -*-
"""
Queues Directory
"""
| """
Queues Directory
""" |
class FpSegmentator:
def __init__(self, bs = 16, th = 160):
self.blockSize = bs
self.threshHold = th
def segment(self, fpImg):
segmentedImg = fpImg
maskImg = fpImg
#Perform edge detection using Canny technique
blurImg = cv2.GaussianBlur(fpImg, (7,7), 0)
edgeImg = cv2.Canny(blurImg, 20, 70)
rows, cols, *ch = maskImg.shape
total = 0
sd = 0
size = self.blockSize ** 2
#Compute statistical features of each block in input fingerprint image
#And check if SD is less than the threshold value
for row in range(0,rows, self.blockSize):
for col in range(0,cols, self.blockSize):
try:
#Calculate total pixels here
for r in range(row,row + self.blockSize):
for c in range(col,col + self.blockSize):
total += edgeImg[r,c]
#Calculate total sd of the edgeImg here
for r in range(row,row + self.blockSize):
for c in range(col,col + self.blockSize):
sd += (edgeImg[r,c] - (total // size))**2
total_sd = math.sqrt(sd // self.blockSize)
#Assign white color to the region with lower threshold
if total_sd < self.threshHold:
for r in range(row,row + self.blockSize):
for c in range(col,col + self.blockSize):
segmentedImg[r,c] = 255
#Reset the sd and total pix for each block
total = 0
sd = 0
except IndexError as ie:
pass
return segmentedImg | class Fpsegmentator:
def __init__(self, bs=16, th=160):
self.blockSize = bs
self.threshHold = th
def segment(self, fpImg):
segmented_img = fpImg
mask_img = fpImg
blur_img = cv2.GaussianBlur(fpImg, (7, 7), 0)
edge_img = cv2.Canny(blurImg, 20, 70)
(rows, cols, *ch) = maskImg.shape
total = 0
sd = 0
size = self.blockSize ** 2
for row in range(0, rows, self.blockSize):
for col in range(0, cols, self.blockSize):
try:
for r in range(row, row + self.blockSize):
for c in range(col, col + self.blockSize):
total += edgeImg[r, c]
for r in range(row, row + self.blockSize):
for c in range(col, col + self.blockSize):
sd += (edgeImg[r, c] - total // size) ** 2
total_sd = math.sqrt(sd // self.blockSize)
if total_sd < self.threshHold:
for r in range(row, row + self.blockSize):
for c in range(col, col + self.blockSize):
segmentedImg[r, c] = 255
total = 0
sd = 0
except IndexError as ie:
pass
return segmentedImg |
class Handler(object):
"""
Handler for the compass connected to the ruggeduino
NOTE - VARIABLES
PID - Dictionary of PID values
P - P value
I - I value
D - D value
robot - Instance of sparklebot class
NOTE - METHODS
calcPID(error) - Calculate the new PID values from the given error
getValue() - Gets the heading from the compass
"""
def __init__(self, robot, PID):
self.P = PID['P']
self.I = PID['I']
self.D = PID['D']
self.R = robot
self.lastError = 0
self.i = 0
if self.R.DEBUG:
print("P: ", self.P)
print("I: ", self.I)
print("D: ", self.D)
def calcPID(self, error):
"Calculate the new PID values from error"
p = abs(error)
self.i += error
d = abs(self.lastError) - abs(error)
pidVal = self.P * p + self.I * self.i + self.D * d
return pidVal
def getValue(self):
"Gets the heading from the compass"
heading = self.R.RH.command("e")
value = int(float(heading))
return(value)
| class Handler(object):
"""
Handler for the compass connected to the ruggeduino
NOTE - VARIABLES
PID - Dictionary of PID values
P - P value
I - I value
D - D value
robot - Instance of sparklebot class
NOTE - METHODS
calcPID(error) - Calculate the new PID values from the given error
getValue() - Gets the heading from the compass
"""
def __init__(self, robot, PID):
self.P = PID['P']
self.I = PID['I']
self.D = PID['D']
self.R = robot
self.lastError = 0
self.i = 0
if self.R.DEBUG:
print('P: ', self.P)
print('I: ', self.I)
print('D: ', self.D)
def calc_pid(self, error):
"""Calculate the new PID values from error"""
p = abs(error)
self.i += error
d = abs(self.lastError) - abs(error)
pid_val = self.P * p + self.I * self.i + self.D * d
return pidVal
def get_value(self):
"""Gets the heading from the compass"""
heading = self.R.RH.command('e')
value = int(float(heading))
return value |
s = input()
s = s.lower()
panagram = True
lst = []
for i in range(0,26):
lst.append(False)
for char in s:
if not char == " ":
lst[ord(char)-ord('a')]=True
for ch in lst:
if ch == False:
panagram = False
break
if(panagram==False):
print("Panagram Doesn't Exist")
else:
print("Panagram Exists")
| s = input()
s = s.lower()
panagram = True
lst = []
for i in range(0, 26):
lst.append(False)
for char in s:
if not char == ' ':
lst[ord(char) - ord('a')] = True
for ch in lst:
if ch == False:
panagram = False
break
if panagram == False:
print("Panagram Doesn't Exist")
else:
print('Panagram Exists') |
"""
Given an 2D board, count how many battleships are in it. The battleships are represented with 'X's, empty slots are represented with '.'s. You may assume the following rules:
You receive a valid board, made of only battleships or empty slots.
Battleships can only be placed horizontally or vertically. In other words, they can only be made of the shape 1xN (1 row, N columns) or Nx1 (N rows, 1 column), where N can be of any size.
At least one horizontal or vertical cell separates between two battleships - there are no adjacent battleships.
Example:
X..X
...X
...X
In the above board there are 2 battleships.
Invalid Example:
...X
XXXX
...X
This is an invalid board that you will not receive - as battleships will always have a cell separating between them.
Follow up:
Could you do it in one-pass, using only O(1) extra memory and without modifying the value of the board?
"""
class Solution(object):
def countBattleships(self, board):
"""
:type board: List[List[str]]
:rtype: int
"""
solution = 0
for i in range(len(board)):
for j in range(len(board[i])):
if i == 0 and j == 0:
if board[i][j] == 'X':
solution += 1
elif i == 0:
if board[i][j] == 'X' and board[i][j-1] != 'X':
solution += 1
elif j == 0:
if board[i][j] == 'X' and board[i-1][j] != 'X':
solution += 1
else:
if board[i][j] == 'X' and board[i-1][j] != 'X' and board[i][j-1] != 'X':
solution += 1
return solution
| """
Given an 2D board, count how many battleships are in it. The battleships are represented with 'X's, empty slots are represented with '.'s. You may assume the following rules:
You receive a valid board, made of only battleships or empty slots.
Battleships can only be placed horizontally or vertically. In other words, they can only be made of the shape 1xN (1 row, N columns) or Nx1 (N rows, 1 column), where N can be of any size.
At least one horizontal or vertical cell separates between two battleships - there are no adjacent battleships.
Example:
X..X
...X
...X
In the above board there are 2 battleships.
Invalid Example:
...X
XXXX
...X
This is an invalid board that you will not receive - as battleships will always have a cell separating between them.
Follow up:
Could you do it in one-pass, using only O(1) extra memory and without modifying the value of the board?
"""
class Solution(object):
def count_battleships(self, board):
"""
:type board: List[List[str]]
:rtype: int
"""
solution = 0
for i in range(len(board)):
for j in range(len(board[i])):
if i == 0 and j == 0:
if board[i][j] == 'X':
solution += 1
elif i == 0:
if board[i][j] == 'X' and board[i][j - 1] != 'X':
solution += 1
elif j == 0:
if board[i][j] == 'X' and board[i - 1][j] != 'X':
solution += 1
elif board[i][j] == 'X' and board[i - 1][j] != 'X' and (board[i][j - 1] != 'X'):
solution += 1
return solution |
class Solution(object):
def reverse(self, x):
rev_x = 0
if x >= 0: # positive
sign = + 1
elif x < 0: # negative
sign = -1
x = x * sign # remove sign for now
while x > 0:
rev_x = rev_x * 10 + x % 10
x = x/10
# check if output is within 32 bit bounds
if rev_x <= (-2**31) or rev_x >= (2**31):
rev_x = 0
print(rev_x*sign)
return rev_x*sign # restore the sign
| class Solution(object):
def reverse(self, x):
rev_x = 0
if x >= 0:
sign = +1
elif x < 0:
sign = -1
x = x * sign
while x > 0:
rev_x = rev_x * 10 + x % 10
x = x / 10
if rev_x <= -2 ** 31 or rev_x >= 2 ** 31:
rev_x = 0
print(rev_x * sign)
return rev_x * sign |
x:str = ""
y:str = "123"
z:str = "abc"
for x in z:
print(x)
for x in y:
print(x)
| x: str = ''
y: str = '123'
z: str = 'abc'
for x in z:
print(x)
for x in y:
print(x) |
def solution_one(numbers: list[int]) -> list[int]:
"""
timeComplexity: BigO(n^2)
spaceComplexity: BigO(n)
"""
result = []
for idx, i in enumerate(numbers):
tmp = 1
for idj, j in enumerate(numbers):
if idx == idj:
continue
tmp *= j
result.append(tmp)
return result
def solution_two(numbers: list[int]) -> list[int]:
"""
timeComplexity: BigO(2n)
spaceComplexity: BigO(n)
"""
total = 1
for n in numbers:
total *= n
result = []
for n in numbers:
result.append(total // n)
return result
if __name__ == "__main__":
print(solution_one([1, 2, 3, 4, 5]))
print(solution_two([1, 2, 3, 4, 5]))
| def solution_one(numbers: list[int]) -> list[int]:
"""
timeComplexity: BigO(n^2)
spaceComplexity: BigO(n)
"""
result = []
for (idx, i) in enumerate(numbers):
tmp = 1
for (idj, j) in enumerate(numbers):
if idx == idj:
continue
tmp *= j
result.append(tmp)
return result
def solution_two(numbers: list[int]) -> list[int]:
"""
timeComplexity: BigO(2n)
spaceComplexity: BigO(n)
"""
total = 1
for n in numbers:
total *= n
result = []
for n in numbers:
result.append(total // n)
return result
if __name__ == '__main__':
print(solution_one([1, 2, 3, 4, 5]))
print(solution_two([1, 2, 3, 4, 5])) |
"""Top-level package for ocr_package."""
__author__ = """Qunfei Wu"""
__email__ = 'qunfei.wu@outlook.com'
__version__ = '0.1.4'
| """Top-level package for ocr_package."""
__author__ = 'Qunfei Wu'
__email__ = 'qunfei.wu@outlook.com'
__version__ = '0.1.4' |
# -*- coding: utf-8 -*-
# Copyright 2019 Cohesity Inc.
class BackupPolicyProtoScheduleEnd(object):
"""Implementation of the 'BackupPolicyProto_ScheduleEnd' model.
TODO: type model description here.
Attributes:
end_after_num_backups (long|int): The following field has been
deprecated. TODO(mark): Append "_DEPRECATED" to this field name
once iris has stopped referring to it. If specified, the backup
job will no longer be run after it has been run these many times.
end_time_usecs (long|int): If specified, the backup job will no longer
be run after this time.
"""
# Create a mapping from Model property names to API property names
_names = {
"end_after_num_backups":'endAfterNumBackups',
"end_time_usecs":'endTimeUsecs'
}
def __init__(self,
end_after_num_backups=None,
end_time_usecs=None):
"""Constructor for the BackupPolicyProtoScheduleEnd class"""
# Initialize members of the class
self.end_after_num_backups = end_after_num_backups
self.end_time_usecs = end_time_usecs
@classmethod
def from_dictionary(cls,
dictionary):
"""Creates an instance of this model from a dictionary
Args:
dictionary (dictionary): A dictionary representation of the object as
obtained from the deserialization of the server's response. The keys
MUST match property names in the API description.
Returns:
object: An instance of this structure class.
"""
if dictionary is None:
return None
# Extract variables from the dictionary
end_after_num_backups = dictionary.get('endAfterNumBackups')
end_time_usecs = dictionary.get('endTimeUsecs')
# Return an object of this model
return cls(end_after_num_backups,
end_time_usecs)
| class Backuppolicyprotoscheduleend(object):
"""Implementation of the 'BackupPolicyProto_ScheduleEnd' model.
TODO: type model description here.
Attributes:
end_after_num_backups (long|int): The following field has been
deprecated. TODO(mark): Append "_DEPRECATED" to this field name
once iris has stopped referring to it. If specified, the backup
job will no longer be run after it has been run these many times.
end_time_usecs (long|int): If specified, the backup job will no longer
be run after this time.
"""
_names = {'end_after_num_backups': 'endAfterNumBackups', 'end_time_usecs': 'endTimeUsecs'}
def __init__(self, end_after_num_backups=None, end_time_usecs=None):
"""Constructor for the BackupPolicyProtoScheduleEnd class"""
self.end_after_num_backups = end_after_num_backups
self.end_time_usecs = end_time_usecs
@classmethod
def from_dictionary(cls, dictionary):
"""Creates an instance of this model from a dictionary
Args:
dictionary (dictionary): A dictionary representation of the object as
obtained from the deserialization of the server's response. The keys
MUST match property names in the API description.
Returns:
object: An instance of this structure class.
"""
if dictionary is None:
return None
end_after_num_backups = dictionary.get('endAfterNumBackups')
end_time_usecs = dictionary.get('endTimeUsecs')
return cls(end_after_num_backups, end_time_usecs) |
#!/usr/bin/env python
'''
test cases will be discovered by py.test by Python testing conventions
'''
class TestClass:
def test_f(self):
assert 42 == 42
def test_g(self):
assert " hello ".strip() == "hello"
| """
test cases will be discovered by py.test by Python testing conventions
"""
class Testclass:
def test_f(self):
assert 42 == 42
def test_g(self):
assert ' hello '.strip() == 'hello' |
test = {
'name': 'Problem 2',
'points': 2,
'suites': [
{
'cases': [
{
'code': r"""
>>> dogs = about(['dogs', 'hounds'])
>>> dogs('A paragraph about cats.')
False
>>> dogs('A paragraph about dogs.')
True
>>> dogs('Release the Hounds!')
True
>>> dogs('"DOGS" stands for Department Of Geophysical Science.')
True
>>> dogs('Do gs and ho unds don\'t count')
False
""",
'hidden': False,
'locked': False
}
],
'scored': True,
'setup': r"""
>>> from cats import about
""",
'teardown': '',
'type': 'doctest'
},
{
'cases': [
{
'code': r"""
>>> ab = about(['neurine', 'statutably', 'quantivalent', 'intrarachidian', 'itinerantly', 'cloaklet'])
>>> ab('unhollow simsim dcloakletB itinerantly cloakLet dQUaNtivalentJ gnEurinE fissiparity Mneurinel')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['unsimilar', 'conditioning', 'crystallogenical', 'mennom', 'foreannouncement', 'neomorph'])
>>> ab('#crystallogenIcalW podded reorganizationist neomorPhf hneomorphj')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['lactonic', 'ungroaning', 'intraepiphyseal', 'sporangiform', 'saccharate', 'hermeneutic', 'butanal', 'gregariously', 'splenopexy'])
>>> ab('Hsp\\leno?pexy qsacchar<ate, dungroaninGy pennate Ybutanal zbutana|l proterogyny')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['gendarme', 'tigerlike', 'countergabble', 'lollipop', 'regovern', 'acoelomate', 'walnut', 'combat', 'reattribution'])
>>> ab('tig;eRlikE fiscal nwaLnut cou(ntergab!bleg unsuccessiveness reattr<ibuTion acoeloma$te!U EgEndarme scrappily')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['multivoltine', 'nonpacifist', 'oviferous', 'postelection', 'multidigitate', 'reallege', 'intercavernous', 'marmose'])
>>> ab('sreAllege Omultivoltine postelEct>IonK Tpostelectiong ZposteLection')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['antimonarchial', 'archaeology', 'oopod', 'notchel'])
>>> ab('Hn`otcHelG packed saNtimonarchial a[ntimOna]rchiaLj dnotche}Lv')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['cf', 'tylostylus', 'civil', 'teleobjective'])
>>> ab('bty)loStyl.uss vexillar hciv~ilf oviparousness tylostylus gciviL ^CfH bridger plastochrone')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['croup', 'accompaniment', 'delabialize', 'erythematous', 'gossipdom'])
>>> ab('accomp=ani<mentY pleuronectoid petrographical gossi\\[pdomJ toetoe')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['basidiolichen', 'pruriently', 'elasticness', 'polony'])
>>> ab('exterior mannerable elastiCnessD bprurienTlyl eLasticneSs')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['umbellar', 'rambutan', 'southeasternmost', 'correction', 'inadhesion', 'featherfew'])
>>> ab('UmbellarB sparky coRrectionh tsoutheasternmoStW interradiation lumbEll]art')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['intercreate', 'sulpholipin', 'inkhornizer', 'lycanthropic', 'optimize'])
>>> ab('sulpholi*piN proctoparalysis rInkhornizer RlycanthropicY optimi`#zeg -optimizeo lycanthropicB lycanthrOpICK')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['uniformitarian'])
>>> ab('U-nif#ormitarianr uniformitarian buNi=formitaRian leucitis enantiopathia uniformitarian U-nif!ormitarian')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['pulicidal', 'choultry', 'caryopilite', 'unowed', 'overslaugh', 'unshriveled', 'ectodactylism'])
>>> ab('ectodactylisma ecT${odactylismL transform diaheliotropic carYopi?l~iteT aunowE-d,e ectodactyli]smI Rcaryop,iliT@eG .puli^Cidalk')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['stowbordman', 'scleromeninx', 'wringstaff'])
>>> ab('stowbordmaN porkfish scleromenInx updart nether')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['plumbosolvent', 'nearby', 'atriopore', 'conchiferous', 'zygostyle', 'glottidean', 'temulentive', 'khajur', 'chirognomy'])
>>> ab('glott;ID|eanD (aTrioPor[ed tem^ulenT/iveg Rplumbosolventt zygo[styleV pseudoacaccia pLumboSolve-ntm tEmulenTivEg sweetbrier')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['sylvanly', 'infinite', 'uncorked', 'subjacency', 'looplike', 'nasoethmoidal', 'capcase', 'communicableness', 'blown'])
>>> ab("infi!niTe eu.nCorkEd+ nasoethmoi-daL glooPlikes Bcommu[nicabl'eNesst")
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['sulpholysis', 'kalo', 'cecidiology', 'progne', 'cosiness', 'quotity'])
>>> ab('kaloI marsoon TcecidIology s`u,Lpholysism uprognez =sulphoLysisL ncec{idiologY')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['cameograph', 'cnidophore'])
>>> ab('unhushable monoprionidian UcameographL coccidia cnidophorev')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['inadequateness', 'capsulate', 'careers', 'sublanceolate'])
>>> ab('finadeQuate#ness]V clownship Sublan!ceol_atem capsulitis sublanceolatet chantry')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['kilneye', 'wistful', 'scorbutic', 'chichipe', 'antemeridian', 'metapolitical'])
>>> ab('Nmetapolitica}lm UmetapoliTica:l unapproximately ch+i@chipeD aNtemeRi^dianq')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['inefficacity', 'caulicule', 'autositic', 'zimme'])
>>> ab('ottajanite inEffIcacityv plasmodiocarp cc-Aul(iculex inefficaciTyX')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['playwrighting', 'hamated', 'encumberingly', 'closh', 'yugada', 'staphyloptosis', 'energeia', 'microclimatologic', 'pasang'])
>>> ab('=PlAYwrightInGX VpasA&ngw yugada energeia zpla,ywRIgh|ting CpAsangq')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['saltless', 'bailage', 'nonformation', 'yeven', 'argenteous', 'ha'])
>>> ab('iy:e.venN A[rgentEo]usT largenteous clamminess gbaILa.geY stoicism')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['overcrop', 'julian', 'gaub', 'roland'])
>>> ab('tenectomy UrOland haec Kover`c(ropb pneumatolitic roland overc]ropz GOvercrop Xroland')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['construction', 'upbid', 'weave'])
>>> ab('weave, amphidetic weave untotalled weAveN hweave weaveF pasticheur')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['immortalness', 'powell', 'indifferently', 'palatograph', 'capucine'])
>>> ab('enterer Qpalatograph implacement shepherdry indiff"er<ently')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['rorqual', 'tautomeric', 'unprejudicedly', 'disregardance', 'reconveyance', 'rebellow'])
>>> ab("quabird grebellOw] rebEl'l*owm rebell/]OWh learnt")
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['nightstock', 'catabaptist', 'aloud', 'ultramelancholy'])
>>> ab('ualouD/c mines push dnightsTock ial&oud')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['understrain', 'incoherentific'])
>>> ab('kun+derstraink munderstRain vaporiferousness silly palaeocrystalline cauliculus subnatural')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['accompliceship', 'dumpish', 'unqueried', 'incedingly', 'sudiform', 'neighborless'])
>>> ab('incedingly sequency sudiform dumpish YUnqueried Sdumpish Gneig}hbOrlessq KincedinglyX')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['undishonored', 'counterflange', 'justly', 'contralto', 'erythematous', 'intromissive'])
>>> ab('counterflange cOntra=\\lto IntromIssiven unperforate j,ustl#yi iNtromissIveS undishonored')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['replier', 'bending', 'uptree'])
>>> ab('replier uptr$eeC bantay salpingostaphyline aupTre[Er')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['matriculate', 'pandemy', 'fruited', 'draughtmanship', 'arboriform', 'oppugner', 'nucleonics', 'reducer'])
>>> ab('f@rui,ted reducer draughtmanshipD toxa PfrUited ZMatRi[culateA maTricuLatEi lmaTricuLate].D matriculate')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['unconjecturable', 'lithontriptor', 'paradoctor', 'retinopapilitis', 'unabsolvedness'])
>>> ab('u/nconjectura{bleJ unco(njEctUrable unconjecturable pAradoct<ord trenchermaking Aretinopapilitis')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['liminary', 'collectorship'])
>>> ab('pearlin unbrent vliminary>O Xlim;iNaryf collectorship liminary pretranscription fliminaryQ liminary')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['stuporose', 'didst', 'hexactinellidan', 'vacuome', 'pulicarious', 'semidead', 'gourdlike', 'powerboat'])
>>> ab('tvacuome hippometry sgourdlIKe satisfying hexactiNellidanT')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['surdation', 'piddler', 'unbatten', 'bemar', 'unfeeling', 'thermalgesia'])
>>> ab('unbatten tracksick pIddleRs munbatten ^BemaR piDdler*] news')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['undersweep', 'sportswomanly', 'nonlocal', 'lorate', 'histopathologist', 'trichiuroid'])
>>> ab('zoomorphize trichiuroid SportSwomanlyj Nonlocal nonlOcalA p{lorate/ NundersweepR thisto/pathologisT Klorate<')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['rewarehouse', 'noggen'])
>>> ab('CreWarEhous\\e rewarehouse pina desquamatory Mnoggeny threadweed')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['noologist'])
>>> ab('bagreef desiredly xnooL+ogist<E warmth unstainableness theomorphic eliasite')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['mockernut', 'boga', 'unzephyrlike', 'infragenual', 'dimmed', 'derelictness', 'morphologic'])
>>> ab('gopher lord dimmeDw Xmo$cke`rnuTC bogAY')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['parapteron'])
>>> ab('quinaldyl spiritland simply laver untakable nonsensitive xparapter>onA')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['priesteen', 'parapet', 'linenman', 'noneffervescent', 'metasaccharinic', 'unreversible', 'desiderata'])
>>> ab('desid@erataP Bnonefferve?s]centr des\\iDEra]tag linenmanx parapet k&unreversible desiderata~L (uNreversi~BleN')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['pulpit', 'cig', 'orbitelarian', 'overstress', 'voicelessness'])
>>> ab('xoV_Erst-ressR voi=c:elessness V)oicelessneSs psaltes NoRbitelarian')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['underdevelop', 'rejumble', 'crowkeeper', 'symphyllous', 'narratress'])
>>> ab('troolie underdevelOpw sym+phyl`lOusF undecidedly rrEjumbleR nnarRatressF')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['phonogrammically', 'dumpiness', 'preambition', 'halisteretic'])
>>> ab('jha}liStEretic" ha%listereti<c interimistic inexhaustive yogin yphonogrammicallyw smokefarthings dauntingly halisteretic')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['block', 'diluvialist', 'heriot', 'supersalient', 'hate', 'septation'])
>>> ab('=sep.tatiOnA handmaid hate Hhe}rio(tt zheRiot^$')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['cyclose', 'acrospore', 'raver', 'balzarine', 'neomorphic', 'lute', 'uranostaphylorrhaphy', 'thirteenfold'])
>>> ab('balzarine acrospore hluteY ,baLzarine UneOmorphIc')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['pedestal'])
>>> ab('valeta counselful pedestal nonstudious matral divata pedes}taL')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['gynospore', 'apodictically', 'villages', 'algebra', 'uprid', 'disadvise', 'yourselves', 'nondeference', 'overhardy'])
>>> ab('tetchy Xnondeferencex uovErhardYh dIsadvis}ef bridely orientator')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['lipomyxoma'])
>>> ab('shoreyer lipomyxoma cojuror squdge luxuriancy')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['unchangefulness', 'sublevation', 'protosyntonose', 'saddlelike', 'postlachrymal', 'antetype'])
>>> ab('OanTety>peW unchangefulness ootocous wuncHangefulnessx bagpipes saddlelike')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['coccygeal', 'dinothere', 'faradmeter', 'oversubtlety', 'dispensatorily', 'manganapatite'])
>>> ab('d~is&penSaTorilyc browbeater dIspensatorilyZ Omanganapatiteg amanganapatite mangaNapatItEG Hdispensatorily roulette')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['diactin', 'stirps', 'waverous', 'qualifying', 'sexuparous', 'realmless'])
>>> ab('Hstirpsj sexuparOusj waver>ousQ sexuparOus_R cqualIfying st_irPs# sexupaRous')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['headliner', 'dutiability', 'acquired', 'portfire', 'dilatometric', 'voicelet'])
>>> ab('Dvo)^icelEtB acquired inhaler sdilatome&trIc pour claut portfire@m Zhe-adlinerm')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['healsome', 'proceed', 'oxhorn', 'overskim', 'polemicist', 'injure', 'hygrophaneity', 'chairmender'])
>>> ab('sproceedf y|healso"me vpolemicisTW embrocate hygrophaneity Xproceed ThygroPhaneIty')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['schemist', 'pentahedrous', 'relativeness', 'solivagant', 'gloriously', 'epistolet'])
>>> ab('relativenesse pentahedrous Ygloriou#slyq foretalking Agloriously trelativen&esSA dschemist')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['carbonization', 'micropegmatitic', 'waterhorse', 'antisubstance', 'yucker', 'samely', 'dargsman'])
>>> ab('whank samely waterhorse usa;me,lYj antisubstance ddargsman micropegmatitic chack')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['unguidable', 'presentational', 'autoheterosis', 'nitrophytic'])
>>> ab('utrum cerebralist unguidable tpre,sEnta(tionaL AunguidabLE composure p#resen.tationaL autoheterosis')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['predative', 'paragrammatist'])
>>> ab('pRed@ati)veK abhiseka rpredAt(Ive h$paragrammatist/ GparagrammatistD prEdative')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['ripe', 'spatuliform'])
>>> ab('monopyrenous zspatuliform E:ripe lr#ip.ey cauligenous tod toddle')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['appliable', 'dysepulotic', 'opodeldoc', 'brainlessly'])
>>> ab('ortho hopodeldoc fappliableV postcolumellar rebounder')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['ameed', 'pneumonopleuritis', 'maidenweed'])
>>> ab("pnE-umO*NOpleuritis pNeumOnopLeuritis' pneumonopleuritis Eameed tabletary epneumOnopleuritis maidenweed")
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['broomwood', 'relatability', 'pearlite', 'epithecium', 'saddlenose'])
>>> ab('ape@arlite WrelatabilityR Zsaddl|enos$E piperidine commissariat aphasia')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['housewarming', 'hymenean', 'crepusculine', 'solecizer', 'overfearful'])
>>> ab('engloom electrotest crosscutting housewarmings SsoLecizErN solecizer vcrepus"culIn|eY tenementer LhouSewarmingQ')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['paradisic', 'unaffectionately', 'exordial', 'weaponshowing', 'rhombohedra', 'sparger'])
>>> ab('Orhombohedra lexordials subjunctively jrhombo@Hedra= paradis#icO')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['official', 'platybrachycephalous', 'pitometer', 'electrodepositor', 'superambitious'])
>>> ab('thundersquall pockmark Bpitome}t^er mplatybrachycephalousQ oFficial T;official piTometerH oddsman')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['hoseless', 'passivity', 'sparrowcide', 'salubrious'])
>>> ab('hoseless_ tonalist comboy coislander opa_ssivITys pAss[ivIty> psaLubrIousV hoseleSs')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['mischieve', 'dayfly', 'galvanomagnetic'])
>>> ab('dayfly\\_V dayflyU mischieVey ydayfly precipitantly dmischievey')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['notoriety', 'undersorcerer', 'pneumoperitonitis', 'balaenoidean', 'strawbreadth', 'postconnubial', 'cauligenous'])
>>> ab('siket unwhelped misexpend academically gemmipara cAuligEnous')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['wold', 'relieved', 'quicksandy', 'guaraguao', 'stalkless', 'unexhilarated', 'strifeproof'])
>>> ab('wo\\LdT funexhilarAt:ed& ejection comeuppance Erelieve"d woldg')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['unpermeated', 'myelocytic', 'nonindictable', 'pretuberculous', 'mesoxalyl', 'strombite', 'muscule', 'cheesemongerly'])
>>> ab('prETUb^eRcu,LoUsK mesoxalylN oxybutyric udal FmUS^*Culeh umye)locyticG')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['embrail', 'ferryboat', 'picky', 'wheerikins', 'uncrushed', 'monotelephone', 'foist', 'transempirical', 'gawkily'])
>>> ab('thujene eightpenny afois>tS wh\\eerik<insr Uncru-shed nonlaying ke.mBrail>n Wferryboat ferrybOat')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['imitationist', 'undershut', 'unmannerly', 'sterneber', 'nonappendicular', 'cityish', 'caimito'])
>>> ab('cityishu ycityisHm Zcaimito asterneBer On{{onappendiCularK')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['hookers', 'gardenmaker', 'postnatal', 'private', 'demagogy'])
>>> ab('gardenMakery teleological WhookersG u:demagogyB JHo=okersV')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['baillone', 'uncoacted', 'tarnisher', 'unwrinkled', 'pistareen', 'phacometer', 'aphyllous', 'thoraciform', 'megaron'])
>>> ab('megaronI +phacometeR havenership aphy-llOu/sw Rpistareene Run,cOactedT Gun$wrinkleDo :"pistareenK rpistareen/')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['unsloped', 'fucous'])
>>> ab('OunslopEd indissociable clitoridectomy undefectible predisponency multiplex')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['fracted', 'traducianistic', 'tinwork', 'vortically', 'massicot', 'pinite', 'barbarian', 'shank'])
>>> ab('ensigncy vortically =tiNwork yvortically fracted tinwork dustuck')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['angelhood', 'xiphydriid', 'longicorn', 'shadchan', 'mixableness', 'journals'])
>>> ab('Kmi>xablen"ess xiphydriid saltine longicorN longicornY')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['cervicectomy', 'vibraculoid', 'feminility', 'voluminously', 'hydroferrocyanate', 'canthotomy', 'unequableness', 'monomerous'])
>>> ab('dedendum voluminously feminilityJ monomerousr BmoNO%merOU>sM cornerwise')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['kymbalon', 'plastogamy', 'grumpily', 'tease', 'macrocytosis', 'planterdom', 'pantophile'])
>>> ab('jkym!b?alon pAntophile pla*stogamyy pAntophileJ phasmatid oligodendroglia')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['overprovidently', 'obdormition', 'precollect', 'productivity'])
>>> ab('aesthophysiology obdormition trabant obdo!Rmitionm }obdorMitionD cOverproviDeNtlyG doVe|rProVi+DenTlyK')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['baker', 'circumscribable', 'apostrophic', 'nap'])
>>> ab('apostrOphic troopfowl a{postrophic circumscribable foreroyal Z}(bakeR cIrcUmscrib@AbLe D%nApQ')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['tractioneering', 'contestant', 'berrier'])
>>> ab("Ktractioneering croucher z'tractioneering nonverminous capper")
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['afterturn', 'semispeculation'])
>>> ab('semispeculation semispeculationv coarbiter mydatoxine zincograph')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['subjectiveness'])
>>> ab('podagra waikness haulage semiprivacy insubordinate LsubjectiveNeSsH IsubjeCtiven-ess')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['ophiophagous', 'rice', 'piousness', 'vibrissae', 'diplocardiac'])
>>> ab('cap ophiophagous TdiplocarDIacW vibrissae droud hencote ]vibriss=ae')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['civicism', 'belletrist', 'vegetocarbonaceous', 'woodchuck', 'phacitis', 'warehouseful', 'intertwine'])
>>> ab('division rphaciTI]s)P vEgetocarbonaceous intertwineb warehouseful RVegetoCarbonaceouSd')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['longboat', 'cataria', 'pectination', 'immute', 'dicrotic', 'tressured', 'sluggard', 'hypothenal', 'acrologism'])
>>> ab('unstintingly t(ressuredt Nslug)gard@P QslUGgard immuteS')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['discover', 'fixative', 'suprasphanoidal', 'thickbrained'])
>>> ab('disc[overC suprasphanoidal engraft Psup:raSph@anoidaLU unintromitted ksup^rasphanOi]daLN unsaponifiable dIScoverw SupraspHano^ida\\l')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['unharnessed', 'fruitist', 'resolicit'])
>>> ab('U_Fruitis(t Z!unharnessed script VresolicitV mail')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['tom', 'spurgall', 'rampagious'])
>>> ab('tOM spurgallU centrosphere arouse tomX')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['bronze', 'turgidness', 'untailorly', 'untewed'])
>>> ab('TturgidneSsl rectilineal yuNtaIlorlYL bronzeA turgidness Iu(nTAilOrlY untailorly')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['gong', 'spondylium', 'agrammatism', 'yad', 'unintrusted', 'nosy'])
>>> ab('turrigerous dynamitism aminoacetophenone sPondyLiumt GnosyA lspondyliumV')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['tegularly', 'kilnrib', 'sulphonalism'])
>>> ab('tkilnrib/M wSulphO:nA"liSmR sUlph,onalismD tetrazolium ksUlphonalism tegularlyy')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['succeed', 'dumminess', 'tedder', 'bobsleigh', 'tenendum', 'slatternness', 'longsomeness'])
>>> ab('cs?ucceed longsomenessl lapwork Ab*obSleigh dumMiNes<su')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['biventer', 'fugle', 'estimated', 'racinglike', 'clavelization'])
>>> ab("UclavelizationT f@'ugle rfug*le progressionist estimated bi`veNtErj cLa\\vel`izationp esti(matEdG")
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['imbonity', 'axolemma', 'comendite', 'communicableness'])
>>> ab('foredevote parosteal comendi<}tex consent misken costiform scraggled Zimbo=]nity')
False
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['carpeting', 'equitriangular', 'unforgeability', 'antiharmonist', 'diasynthesis'])
>>> ab('cephaloplegic equitriangular antiharmonist unforgeability d`equitr)iangularB')
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> ab = about(['autoimmunization', 'stepfatherhood'])
>>> ab('retinopapilitis encoop autoimmUnizatiOnn Fau]toImmunizAtionL unchance')
False
""",
'hidden': False,
'locked': False
}
],
'scored': True,
'setup': r"""
>>> from cats import about
""",
'teardown': '',
'type': 'doctest'
}
]
}
| test = {'name': 'Problem 2', 'points': 2, 'suites': [{'cases': [{'code': '\n >>> dogs = about([\'dogs\', \'hounds\'])\n >>> dogs(\'A paragraph about cats.\')\n False\n >>> dogs(\'A paragraph about dogs.\')\n True\n >>> dogs(\'Release the Hounds!\')\n True\n >>> dogs(\'"DOGS" stands for Department Of Geophysical Science.\')\n True\n >>> dogs(\'Do gs and ho unds don\\\'t count\')\n False\n ', 'hidden': False, 'locked': False}], 'scored': True, 'setup': '\n >>> from cats import about\n ', 'teardown': '', 'type': 'doctest'}, {'cases': [{'code': "\n >>> ab = about(['neurine', 'statutably', 'quantivalent', 'intrarachidian', 'itinerantly', 'cloaklet'])\n >>> ab('unhollow simsim dcloakletB itinerantly cloakLet dQUaNtivalentJ gnEurinE fissiparity Mneurinel')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['unsimilar', 'conditioning', 'crystallogenical', 'mennom', 'foreannouncement', 'neomorph'])\n >>> ab('#crystallogenIcalW podded reorganizationist neomorPhf hneomorphj')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['lactonic', 'ungroaning', 'intraepiphyseal', 'sporangiform', 'saccharate', 'hermeneutic', 'butanal', 'gregariously', 'splenopexy'])\n >>> ab('Hsp\\\\leno?pexy qsacchar<ate, dungroaninGy pennate Ybutanal zbutana|l proterogyny')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['gendarme', 'tigerlike', 'countergabble', 'lollipop', 'regovern', 'acoelomate', 'walnut', 'combat', 'reattribution'])\n >>> ab('tig;eRlikE fiscal nwaLnut cou(ntergab!bleg unsuccessiveness reattr<ibuTion acoeloma$te!U EgEndarme scrappily')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['multivoltine', 'nonpacifist', 'oviferous', 'postelection', 'multidigitate', 'reallege', 'intercavernous', 'marmose'])\n >>> ab('sreAllege Omultivoltine postelEct>IonK Tpostelectiong ZposteLection')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['antimonarchial', 'archaeology', 'oopod', 'notchel'])\n >>> ab('Hn`otcHelG packed saNtimonarchial a[ntimOna]rchiaLj dnotche}Lv')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['cf', 'tylostylus', 'civil', 'teleobjective'])\n >>> ab('bty)loStyl.uss vexillar hciv~ilf oviparousness tylostylus gciviL ^CfH bridger plastochrone')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['croup', 'accompaniment', 'delabialize', 'erythematous', 'gossipdom'])\n >>> ab('accomp=ani<mentY pleuronectoid petrographical gossi\\\\[pdomJ toetoe')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['basidiolichen', 'pruriently', 'elasticness', 'polony'])\n >>> ab('exterior mannerable elastiCnessD bprurienTlyl eLasticneSs')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['umbellar', 'rambutan', 'southeasternmost', 'correction', 'inadhesion', 'featherfew'])\n >>> ab('UmbellarB sparky coRrectionh tsoutheasternmoStW interradiation lumbEll]art')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['intercreate', 'sulpholipin', 'inkhornizer', 'lycanthropic', 'optimize'])\n >>> ab('sulpholi*piN proctoparalysis rInkhornizer RlycanthropicY optimi`#zeg -optimizeo lycanthropicB lycanthrOpICK')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['uniformitarian'])\n >>> ab('U-nif#ormitarianr uniformitarian buNi=formitaRian leucitis enantiopathia uniformitarian U-nif!ormitarian')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['pulicidal', 'choultry', 'caryopilite', 'unowed', 'overslaugh', 'unshriveled', 'ectodactylism'])\n >>> ab('ectodactylisma ecT${odactylismL transform diaheliotropic carYopi?l~iteT aunowE-d,e ectodactyli]smI Rcaryop,iliT@eG .puli^Cidalk')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['stowbordman', 'scleromeninx', 'wringstaff'])\n >>> ab('stowbordmaN porkfish scleromenInx updart nether')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['plumbosolvent', 'nearby', 'atriopore', 'conchiferous', 'zygostyle', 'glottidean', 'temulentive', 'khajur', 'chirognomy'])\n >>> ab('glott;ID|eanD (aTrioPor[ed tem^ulenT/iveg Rplumbosolventt zygo[styleV pseudoacaccia pLumboSolve-ntm tEmulenTivEg sweetbrier')\n False\n ", 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'sylvanly\', \'infinite\', \'uncorked\', \'subjacency\', \'looplike\', \'nasoethmoidal\', \'capcase\', \'communicableness\', \'blown\'])\n >>> ab("infi!niTe eu.nCorkEd+ nasoethmoi-daL glooPlikes Bcommu[nicabl\'eNesst")\n True\n ', 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['sulpholysis', 'kalo', 'cecidiology', 'progne', 'cosiness', 'quotity'])\n >>> ab('kaloI marsoon TcecidIology s`u,Lpholysism uprognez =sulphoLysisL ncec{idiologY')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['cameograph', 'cnidophore'])\n >>> ab('unhushable monoprionidian UcameographL coccidia cnidophorev')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['inadequateness', 'capsulate', 'careers', 'sublanceolate'])\n >>> ab('finadeQuate#ness]V clownship Sublan!ceol_atem capsulitis sublanceolatet chantry')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['kilneye', 'wistful', 'scorbutic', 'chichipe', 'antemeridian', 'metapolitical'])\n >>> ab('Nmetapolitica}lm UmetapoliTica:l unapproximately ch+i@chipeD aNtemeRi^dianq')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['inefficacity', 'caulicule', 'autositic', 'zimme'])\n >>> ab('ottajanite inEffIcacityv plasmodiocarp cc-Aul(iculex inefficaciTyX')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['playwrighting', 'hamated', 'encumberingly', 'closh', 'yugada', 'staphyloptosis', 'energeia', 'microclimatologic', 'pasang'])\n >>> ab('=PlAYwrightInGX VpasA&ngw yugada energeia zpla,ywRIgh|ting CpAsangq')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['saltless', 'bailage', 'nonformation', 'yeven', 'argenteous', 'ha'])\n >>> ab('iy:e.venN A[rgentEo]usT largenteous clamminess gbaILa.geY stoicism')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['overcrop', 'julian', 'gaub', 'roland'])\n >>> ab('tenectomy UrOland haec Kover`c(ropb pneumatolitic roland overc]ropz GOvercrop Xroland')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['construction', 'upbid', 'weave'])\n >>> ab('weave, amphidetic weave untotalled weAveN hweave weaveF pasticheur')\n True\n ", 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'immortalness\', \'powell\', \'indifferently\', \'palatograph\', \'capucine\'])\n >>> ab(\'enterer Qpalatograph implacement shepherdry indiff"er<ently\')\n True\n ', 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'rorqual\', \'tautomeric\', \'unprejudicedly\', \'disregardance\', \'reconveyance\', \'rebellow\'])\n >>> ab("quabird grebellOw] rebEl\'l*owm rebell/]OWh learnt")\n False\n ', 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['nightstock', 'catabaptist', 'aloud', 'ultramelancholy'])\n >>> ab('ualouD/c mines push dnightsTock ial&oud')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['understrain', 'incoherentific'])\n >>> ab('kun+derstraink munderstRain vaporiferousness silly palaeocrystalline cauliculus subnatural')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['accompliceship', 'dumpish', 'unqueried', 'incedingly', 'sudiform', 'neighborless'])\n >>> ab('incedingly sequency sudiform dumpish YUnqueried Sdumpish Gneig}hbOrlessq KincedinglyX')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['undishonored', 'counterflange', 'justly', 'contralto', 'erythematous', 'intromissive'])\n >>> ab('counterflange cOntra=\\\\lto IntromIssiven unperforate j,ustl#yi iNtromissIveS undishonored')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['replier', 'bending', 'uptree'])\n >>> ab('replier uptr$eeC bantay salpingostaphyline aupTre[Er')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['matriculate', 'pandemy', 'fruited', 'draughtmanship', 'arboriform', 'oppugner', 'nucleonics', 'reducer'])\n >>> ab('f@rui,ted reducer draughtmanshipD toxa PfrUited ZMatRi[culateA maTricuLatEi lmaTricuLate].D matriculate')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['unconjecturable', 'lithontriptor', 'paradoctor', 'retinopapilitis', 'unabsolvedness'])\n >>> ab('u/nconjectura{bleJ unco(njEctUrable unconjecturable pAradoct<ord trenchermaking Aretinopapilitis')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['liminary', 'collectorship'])\n >>> ab('pearlin unbrent vliminary>O Xlim;iNaryf collectorship liminary pretranscription fliminaryQ liminary')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['stuporose', 'didst', 'hexactinellidan', 'vacuome', 'pulicarious', 'semidead', 'gourdlike', 'powerboat'])\n >>> ab('tvacuome hippometry sgourdlIKe satisfying hexactiNellidanT')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['surdation', 'piddler', 'unbatten', 'bemar', 'unfeeling', 'thermalgesia'])\n >>> ab('unbatten tracksick pIddleRs munbatten ^BemaR piDdler*] news')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['undersweep', 'sportswomanly', 'nonlocal', 'lorate', 'histopathologist', 'trichiuroid'])\n >>> ab('zoomorphize trichiuroid SportSwomanlyj Nonlocal nonlOcalA p{lorate/ NundersweepR thisto/pathologisT Klorate<')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['rewarehouse', 'noggen'])\n >>> ab('CreWarEhous\\\\e rewarehouse pina desquamatory Mnoggeny threadweed')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['noologist'])\n >>> ab('bagreef desiredly xnooL+ogist<E warmth unstainableness theomorphic eliasite')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['mockernut', 'boga', 'unzephyrlike', 'infragenual', 'dimmed', 'derelictness', 'morphologic'])\n >>> ab('gopher lord dimmeDw Xmo$cke`rnuTC bogAY')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['parapteron'])\n >>> ab('quinaldyl spiritland simply laver untakable nonsensitive xparapter>onA')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['priesteen', 'parapet', 'linenman', 'noneffervescent', 'metasaccharinic', 'unreversible', 'desiderata'])\n >>> ab('desid@erataP Bnonefferve?s]centr des\\\\iDEra]tag linenmanx parapet k&unreversible desiderata~L (uNreversi~BleN')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['pulpit', 'cig', 'orbitelarian', 'overstress', 'voicelessness'])\n >>> ab('xoV_Erst-ressR voi=c:elessness V)oicelessneSs psaltes NoRbitelarian')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['underdevelop', 'rejumble', 'crowkeeper', 'symphyllous', 'narratress'])\n >>> ab('troolie underdevelOpw sym+phyl`lOusF undecidedly rrEjumbleR nnarRatressF')\n False\n ", 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'phonogrammically\', \'dumpiness\', \'preambition\', \'halisteretic\'])\n >>> ab(\'jha}liStEretic" ha%listereti<c interimistic inexhaustive yogin yphonogrammicallyw smokefarthings dauntingly halisteretic\')\n True\n ', 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['block', 'diluvialist', 'heriot', 'supersalient', 'hate', 'septation'])\n >>> ab('=sep.tatiOnA handmaid hate Hhe}rio(tt zheRiot^$')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['cyclose', 'acrospore', 'raver', 'balzarine', 'neomorphic', 'lute', 'uranostaphylorrhaphy', 'thirteenfold'])\n >>> ab('balzarine acrospore hluteY ,baLzarine UneOmorphIc')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['pedestal'])\n >>> ab('valeta counselful pedestal nonstudious matral divata pedes}taL')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['gynospore', 'apodictically', 'villages', 'algebra', 'uprid', 'disadvise', 'yourselves', 'nondeference', 'overhardy'])\n >>> ab('tetchy Xnondeferencex uovErhardYh dIsadvis}ef bridely orientator')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['lipomyxoma'])\n >>> ab('shoreyer lipomyxoma cojuror squdge luxuriancy')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['unchangefulness', 'sublevation', 'protosyntonose', 'saddlelike', 'postlachrymal', 'antetype'])\n >>> ab('OanTety>peW unchangefulness ootocous wuncHangefulnessx bagpipes saddlelike')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['coccygeal', 'dinothere', 'faradmeter', 'oversubtlety', 'dispensatorily', 'manganapatite'])\n >>> ab('d~is&penSaTorilyc browbeater dIspensatorilyZ Omanganapatiteg amanganapatite mangaNapatItEG Hdispensatorily roulette')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['diactin', 'stirps', 'waverous', 'qualifying', 'sexuparous', 'realmless'])\n >>> ab('Hstirpsj sexuparOusj waver>ousQ sexuparOus_R cqualIfying st_irPs# sexupaRous')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['headliner', 'dutiability', 'acquired', 'portfire', 'dilatometric', 'voicelet'])\n >>> ab('Dvo)^icelEtB acquired inhaler sdilatome&trIc pour claut portfire@m Zhe-adlinerm')\n True\n ", 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'healsome\', \'proceed\', \'oxhorn\', \'overskim\', \'polemicist\', \'injure\', \'hygrophaneity\', \'chairmender\'])\n >>> ab(\'sproceedf y|healso"me vpolemicisTW embrocate hygrophaneity Xproceed ThygroPhaneIty\')\n True\n ', 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['schemist', 'pentahedrous', 'relativeness', 'solivagant', 'gloriously', 'epistolet'])\n >>> ab('relativenesse pentahedrous Ygloriou#slyq foretalking Agloriously trelativen&esSA dschemist')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['carbonization', 'micropegmatitic', 'waterhorse', 'antisubstance', 'yucker', 'samely', 'dargsman'])\n >>> ab('whank samely waterhorse usa;me,lYj antisubstance ddargsman micropegmatitic chack')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['unguidable', 'presentational', 'autoheterosis', 'nitrophytic'])\n >>> ab('utrum cerebralist unguidable tpre,sEnta(tionaL AunguidabLE composure p#resen.tationaL autoheterosis')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['predative', 'paragrammatist'])\n >>> ab('pRed@ati)veK abhiseka rpredAt(Ive h$paragrammatist/ GparagrammatistD prEdative')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['ripe', 'spatuliform'])\n >>> ab('monopyrenous zspatuliform E:ripe lr#ip.ey cauligenous tod toddle')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['appliable', 'dysepulotic', 'opodeldoc', 'brainlessly'])\n >>> ab('ortho hopodeldoc fappliableV postcolumellar rebounder')\n False\n ", 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'ameed\', \'pneumonopleuritis\', \'maidenweed\'])\n >>> ab("pnE-umO*NOpleuritis pNeumOnopLeuritis\' pneumonopleuritis Eameed tabletary epneumOnopleuritis maidenweed")\n True\n ', 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['broomwood', 'relatability', 'pearlite', 'epithecium', 'saddlenose'])\n >>> ab('ape@arlite WrelatabilityR Zsaddl|enos$E piperidine commissariat aphasia')\n False\n ", 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'housewarming\', \'hymenean\', \'crepusculine\', \'solecizer\', \'overfearful\'])\n >>> ab(\'engloom electrotest crosscutting housewarmings SsoLecizErN solecizer vcrepus"culIn|eY tenementer LhouSewarmingQ\')\n True\n ', 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['paradisic', 'unaffectionately', 'exordial', 'weaponshowing', 'rhombohedra', 'sparger'])\n >>> ab('Orhombohedra lexordials subjunctively jrhombo@Hedra= paradis#icO')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['official', 'platybrachycephalous', 'pitometer', 'electrodepositor', 'superambitious'])\n >>> ab('thundersquall pockmark Bpitome}t^er mplatybrachycephalousQ oFficial T;official piTometerH oddsman')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['hoseless', 'passivity', 'sparrowcide', 'salubrious'])\n >>> ab('hoseless_ tonalist comboy coislander opa_ssivITys pAss[ivIty> psaLubrIousV hoseleSs')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['mischieve', 'dayfly', 'galvanomagnetic'])\n >>> ab('dayfly\\\\_V dayflyU mischieVey ydayfly precipitantly dmischievey')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['notoriety', 'undersorcerer', 'pneumoperitonitis', 'balaenoidean', 'strawbreadth', 'postconnubial', 'cauligenous'])\n >>> ab('siket unwhelped misexpend academically gemmipara cAuligEnous')\n True\n ", 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'wold\', \'relieved\', \'quicksandy\', \'guaraguao\', \'stalkless\', \'unexhilarated\', \'strifeproof\'])\n >>> ab(\'wo\\\\LdT funexhilarAt:ed& ejection comeuppance Erelieve"d woldg\')\n False\n ', 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['unpermeated', 'myelocytic', 'nonindictable', 'pretuberculous', 'mesoxalyl', 'strombite', 'muscule', 'cheesemongerly'])\n >>> ab('prETUb^eRcu,LoUsK mesoxalylN oxybutyric udal FmUS^*Culeh umye)locyticG')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['embrail', 'ferryboat', 'picky', 'wheerikins', 'uncrushed', 'monotelephone', 'foist', 'transempirical', 'gawkily'])\n >>> ab('thujene eightpenny afois>tS wh\\\\eerik<insr Uncru-shed nonlaying ke.mBrail>n Wferryboat ferrybOat')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['imitationist', 'undershut', 'unmannerly', 'sterneber', 'nonappendicular', 'cityish', 'caimito'])\n >>> ab('cityishu ycityisHm Zcaimito asterneBer On{{onappendiCularK')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['hookers', 'gardenmaker', 'postnatal', 'private', 'demagogy'])\n >>> ab('gardenMakery teleological WhookersG u:demagogyB JHo=okersV')\n False\n ", 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'baillone\', \'uncoacted\', \'tarnisher\', \'unwrinkled\', \'pistareen\', \'phacometer\', \'aphyllous\', \'thoraciform\', \'megaron\'])\n >>> ab(\'megaronI +phacometeR havenership aphy-llOu/sw Rpistareene Run,cOactedT Gun$wrinkleDo :"pistareenK rpistareen/\')\n True\n ', 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['unsloped', 'fucous'])\n >>> ab('OunslopEd indissociable clitoridectomy undefectible predisponency multiplex')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['fracted', 'traducianistic', 'tinwork', 'vortically', 'massicot', 'pinite', 'barbarian', 'shank'])\n >>> ab('ensigncy vortically =tiNwork yvortically fracted tinwork dustuck')\n True\n ", 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'angelhood\', \'xiphydriid\', \'longicorn\', \'shadchan\', \'mixableness\', \'journals\'])\n >>> ab(\'Kmi>xablen"ess xiphydriid saltine longicorN longicornY\')\n True\n ', 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['cervicectomy', 'vibraculoid', 'feminility', 'voluminously', 'hydroferrocyanate', 'canthotomy', 'unequableness', 'monomerous'])\n >>> ab('dedendum voluminously feminilityJ monomerousr BmoNO%merOU>sM cornerwise')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['kymbalon', 'plastogamy', 'grumpily', 'tease', 'macrocytosis', 'planterdom', 'pantophile'])\n >>> ab('jkym!b?alon pAntophile pla*stogamyy pAntophileJ phasmatid oligodendroglia')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['overprovidently', 'obdormition', 'precollect', 'productivity'])\n >>> ab('aesthophysiology obdormition trabant obdo!Rmitionm }obdorMitionD cOverproviDeNtlyG doVe|rProVi+DenTlyK')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['baker', 'circumscribable', 'apostrophic', 'nap'])\n >>> ab('apostrOphic troopfowl a{postrophic circumscribable foreroyal Z}(bakeR cIrcUmscrib@AbLe D%nApQ')\n True\n ", 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'tractioneering\', \'contestant\', \'berrier\'])\n >>> ab("Ktractioneering croucher z\'tractioneering nonverminous capper")\n False\n ', 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['afterturn', 'semispeculation'])\n >>> ab('semispeculation semispeculationv coarbiter mydatoxine zincograph')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['subjectiveness'])\n >>> ab('podagra waikness haulage semiprivacy insubordinate LsubjectiveNeSsH IsubjeCtiven-ess')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['ophiophagous', 'rice', 'piousness', 'vibrissae', 'diplocardiac'])\n >>> ab('cap ophiophagous TdiplocarDIacW vibrissae droud hencote ]vibriss=ae')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['civicism', 'belletrist', 'vegetocarbonaceous', 'woodchuck', 'phacitis', 'warehouseful', 'intertwine'])\n >>> ab('division rphaciTI]s)P vEgetocarbonaceous intertwineb warehouseful RVegetoCarbonaceouSd')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['longboat', 'cataria', 'pectination', 'immute', 'dicrotic', 'tressured', 'sluggard', 'hypothenal', 'acrologism'])\n >>> ab('unstintingly t(ressuredt Nslug)gard@P QslUGgard immuteS')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['discover', 'fixative', 'suprasphanoidal', 'thickbrained'])\n >>> ab('disc[overC suprasphanoidal engraft Psup:raSph@anoidaLU unintromitted ksup^rasphanOi]daLN unsaponifiable dIScoverw SupraspHano^ida\\\\l')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['unharnessed', 'fruitist', 'resolicit'])\n >>> ab('U_Fruitis(t Z!unharnessed script VresolicitV mail')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['tom', 'spurgall', 'rampagious'])\n >>> ab('tOM spurgallU centrosphere arouse tomX')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['bronze', 'turgidness', 'untailorly', 'untewed'])\n >>> ab('TturgidneSsl rectilineal yuNtaIlorlYL bronzeA turgidness Iu(nTAilOrlY untailorly')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['gong', 'spondylium', 'agrammatism', 'yad', 'unintrusted', 'nosy'])\n >>> ab('turrigerous dynamitism aminoacetophenone sPondyLiumt GnosyA lspondyliumV')\n False\n ", 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'tegularly\', \'kilnrib\', \'sulphonalism\'])\n >>> ab(\'tkilnrib/M wSulphO:nA"liSmR sUlph,onalismD tetrazolium ksUlphonalism tegularlyy\')\n False\n ', 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['succeed', 'dumminess', 'tedder', 'bobsleigh', 'tenendum', 'slatternness', 'longsomeness'])\n >>> ab('cs?ucceed longsomenessl lapwork Ab*obSleigh dumMiNes<su')\n False\n ", 'hidden': False, 'locked': False}, {'code': '\n >>> ab = about([\'biventer\', \'fugle\', \'estimated\', \'racinglike\', \'clavelization\'])\n >>> ab("UclavelizationT f@\'ugle rfug*le progressionist estimated bi`veNtErj cLa\\\\vel`izationp esti(matEdG")\n True\n ', 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['imbonity', 'axolemma', 'comendite', 'communicableness'])\n >>> ab('foredevote parosteal comendi<}tex consent misken costiform scraggled Zimbo=]nity')\n False\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['carpeting', 'equitriangular', 'unforgeability', 'antiharmonist', 'diasynthesis'])\n >>> ab('cephaloplegic equitriangular antiharmonist unforgeability d`equitr)iangularB')\n True\n ", 'hidden': False, 'locked': False}, {'code': "\n >>> ab = about(['autoimmunization', 'stepfatherhood'])\n >>> ab('retinopapilitis encoop autoimmUnizatiOnn Fau]toImmunizAtionL unchance')\n False\n ", 'hidden': False, 'locked': False}], 'scored': True, 'setup': '\n >>> from cats import about\n ', 'teardown': '', 'type': 'doctest'}]} |
try:
answer = 10/0
number = int(input("Enter a number: "))
print(number)
except ZeroDivisionError as err:
print(err)
except ValueError:
print("Invalid Input")
# if only one except without any specification, it is too broad
| try:
answer = 10 / 0
number = int(input('Enter a number: '))
print(number)
except ZeroDivisionError as err:
print(err)
except ValueError:
print('Invalid Input') |
class XForwardedForMiddleware(object):
"""
Middleware that sets REMOTE_ADDR to a proxy fwd IP address
"""
def __init__(self, get_response):
self.get_response = get_response
def __call__(self, request):
if 'HTTP_X_FORWARDED_FOR' in request.META:
x_fwd = request.META['HTTP_X_FORWARDED_FOR']
request.META['REMOTE_ADDR'] = x_fwd.split(",")[0].strip()
response = self.get_response(request)
return response
| class Xforwardedformiddleware(object):
"""
Middleware that sets REMOTE_ADDR to a proxy fwd IP address
"""
def __init__(self, get_response):
self.get_response = get_response
def __call__(self, request):
if 'HTTP_X_FORWARDED_FOR' in request.META:
x_fwd = request.META['HTTP_X_FORWARDED_FOR']
request.META['REMOTE_ADDR'] = x_fwd.split(',')[0].strip()
response = self.get_response(request)
return response |
# =====================================Assign Trait Rarity==================================
# Each image is made up of a series of traits
# The weightings for each trait drive the rarity and add up to 100%
face = ["White", "Black"]
face_weights = [60, 40]
ears = ["No Earring", "Left Earring", "Right Earring", "Two Earrings"]
ears_weights = [25, 30, 44, 1]
eyes = ["Regular", "Small", "Rayban", "Hipster", "Focused"]
eyes_weights = [70, 10, 5 , 1 , 14]
hair = ['Up Hair', 'Down Hair', 'Mohawk', 'Red Mohawk', 'Orange Hair', 'Bubble Hair', 'Emo Hair',
'Thin Hair',
'Bald',
'Blonde Hair',
'Caret Hair',
'Pony Tails']
hair_weights = [10 , 10 , 10 , 10 ,10, 10, 10 ,10 ,10, 7 , 1 , 2]
mouth = ['Black Lipstick', 'Red Lipstick', 'Big Smile', 'Smile', 'Teeth Smile', 'Purple Lipstick']
mouth_weights = [10, 10,50, 10,15, 5]
nose = ['Nose', 'Nose Ring']
nose_weights = [90, 10] | face = ['White', 'Black']
face_weights = [60, 40]
ears = ['No Earring', 'Left Earring', 'Right Earring', 'Two Earrings']
ears_weights = [25, 30, 44, 1]
eyes = ['Regular', 'Small', 'Rayban', 'Hipster', 'Focused']
eyes_weights = [70, 10, 5, 1, 14]
hair = ['Up Hair', 'Down Hair', 'Mohawk', 'Red Mohawk', 'Orange Hair', 'Bubble Hair', 'Emo Hair', 'Thin Hair', 'Bald', 'Blonde Hair', 'Caret Hair', 'Pony Tails']
hair_weights = [10, 10, 10, 10, 10, 10, 10, 10, 10, 7, 1, 2]
mouth = ['Black Lipstick', 'Red Lipstick', 'Big Smile', 'Smile', 'Teeth Smile', 'Purple Lipstick']
mouth_weights = [10, 10, 50, 10, 15, 5]
nose = ['Nose', 'Nose Ring']
nose_weights = [90, 10] |
# Python - 2.7.6
def new_avg(arr, newavg):
n = __import__('math').ceil((len(arr) + 1) * newavg - sum(arr))
if n <= 0:
raise ValueError()
return n
| def new_avg(arr, newavg):
n = __import__('math').ceil((len(arr) + 1) * newavg - sum(arr))
if n <= 0:
raise value_error()
return n |
class Enumerable:
@classmethod
def keys(cls):
return [x for x in cls.__dict__.keys() if not x.startswith('_')]
| class Enumerable:
@classmethod
def keys(cls):
return [x for x in cls.__dict__.keys() if not x.startswith('_')] |
## Implementation of firstDuplicate in Python3
## Example Input : a = [2, 1, 3, 5, 3, 2]
## Example Output: 3
def firstDuplicate(a):
new_list=set()
for i in a:
if i not in new_list:
new_list.add(i)
else:
return i
return -1
if __name__=="__main__":
a = [2, 1, 3, 5, 3, 2]
print(firstDuplicate(a)) | def first_duplicate(a):
new_list = set()
for i in a:
if i not in new_list:
new_list.add(i)
else:
return i
return -1
if __name__ == '__main__':
a = [2, 1, 3, 5, 3, 2]
print(first_duplicate(a)) |
class SimulationUiSerializer():
def serialize(self, simulation):
# Get car metadata used for rendering
objects_metadata = {}
for car in simulation.cars.values():
objects_metadata[car.name] = {
"dim_x": car.dim[0],
"dim_y": car.dim[1],
"shape": "rectangle",
}
# serialize the setpoint
objects_metadata["setpoint"] = {
"pos_x": simulation.setpoint[0],
"pos_y": simulation.setpoint[1],
"shape": "circle",
"radius": 0.05,
"motion": "fixed" # Used to indicate that this is not meant to be something redrawn
}
# serialize time series data
timeseries = []
for state in simulation.data:
state_serialization = {}
for car in state.cars.values():
state_serialization[car.name] = self.serialize_car(car)
timeseries.append(state_serialization)
return {
"objects": objects_metadata,
"timeseries": timeseries
}
def serialize_car(self, car):
return {
"pos_x": car.x,
"pos_y": car.y
} | class Simulationuiserializer:
def serialize(self, simulation):
objects_metadata = {}
for car in simulation.cars.values():
objects_metadata[car.name] = {'dim_x': car.dim[0], 'dim_y': car.dim[1], 'shape': 'rectangle'}
objects_metadata['setpoint'] = {'pos_x': simulation.setpoint[0], 'pos_y': simulation.setpoint[1], 'shape': 'circle', 'radius': 0.05, 'motion': 'fixed'}
timeseries = []
for state in simulation.data:
state_serialization = {}
for car in state.cars.values():
state_serialization[car.name] = self.serialize_car(car)
timeseries.append(state_serialization)
return {'objects': objects_metadata, 'timeseries': timeseries}
def serialize_car(self, car):
return {'pos_x': car.x, 'pos_y': car.y} |
# -*- coding: utf8 -*-
__version_info__ = (0, 7, 4)
__version__ = '%d.%d.%d' % __version_info__
| __version_info__ = (0, 7, 4)
__version__ = '%d.%d.%d' % __version_info__ |
'''
Byte 0 * * * * * * * 1 * * * * * * * 2 * * * * * * * 3 * * * * * * * -
| | | | |
bit 0 | 1 | 2 | 3 |
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 |
+-+-+-+-+-------+-+-------------+-------------------------------+
|F|R|R|R| opcode|M| Payload len | Extended payload length |
|I|S|S|S| (4) |A| (7) | (16/64) |
|N|V|V|V| |S| | (if payload len==126/127) |
| |1|2|3| |K| | |
+-+-+-+-+-------+-+-------------+ - - - - - - - - - - - - - - - +
| Extended payload length continued, if payload len == 127 |
+ - - - - - - - - - - - - - - - +-------------------------------+
| |Masking-key, if MASK set to 1 |
+-------------------------------+-------------------------------+
| Masking-key (continued) | Payload Data |
+-------------------------------- - - - - - - - - - - - - - - - +
: Payload Data continued ... :
+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - +
| Payload Data continued ... |
+---------------------------------------------------------------+
A single-frame unmasked text message
0x81 0x05 0x48 0x65 0x6c 0x6c 0x6f
[
(1, 0, 0, 0, 0, 0, 0, 1), # FIN = 1, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 1(text frame)
(0, 0, 0, 0, 0, 1, 0, 1), # MASK = 0, Payload_Len = 5(Server to Client, Payload len = 5bytes)
(0, 1, 0, 0, 1, 0, 0, 0), # ASCII, H
(0, 1, 1, 0, 0, 1, 0, 1), # ASCII, e
(0, 1, 1, 0, 1, 1, 0, 0), # ASCII, l
(0, 1, 1, 0, 1, 1, 0, 0), # ASCII, l
(0, 1, 1, 0, 1, 1, 1, 1) # ASCII, o
]
A single-frame masked text message
0x81 0x85 0x37 0xfa 0x21 0x3d 0x7f 0x9f 0x4d 0x51 0x58
[
(1, 0, 0, 0, 0, 0, 0, 1), # FIN = 1, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 1(text frame)
(1, 0, 0, 0, 0, 1, 0, 1), # MASK = 1, Payload_Len = 5
(0, 0, 1, 1, 0, 1, 1, 1), # = 0x37
(1, 1, 1, 1, 1, 0, 1, 0), # = 0xfa
(0, 0, 1, 0, 0, 0, 0, 1), # = 0x21
(0, 0, 1, 1, 1, 1, 0, 1), # = 0x3d MASK_KEY = 0x37fa213d
(0, 1, 1, 1, 1, 1, 1, 1), # = 0x7f 0x7f ^ 0x37 = 72, ASCII H
(1, 0, 0, 1, 1, 1, 1, 1), # = 0x9f 0x9f ^ 0xfa = 101, ASCII e
(0, 1, 0, 0, 1, 1, 0, 1), # = 0x4d 0x4d ^ 0x21 = 108, ASCII l
(0, 1, 0, 1, 0, 0, 0, 1), # = 0x51 0x51 ^ 0x3d = 108, ASCII l
(0, 1, 0, 1, 1, 0, 0, 0) # = 0x85 0x58 ^ 0x37 = 111, ASCII o
]
A fragmented unmasked text message
fragmented_1: 0x01 0x03 0x48 0x65 0x6c
[
(0, 0, 0, 0, 0, 0, 0, 1), # FIN = 0, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 1(text frame)
(0, 0, 0, 0, 0, 0, 1, 1), # MASK = 0, Payload_Len = 3
(0, 1, 0, 0, 1, 0, 0, 0), # ASCII H
(0, 1, 1, 0, 0, 1, 0, 1), # ASCII e
(0, 1, 1, 0, 1, 1, 0, 0) # ASCII l
]
fragmented_2: 0x80 0x02 0x6c 0x6f
[
(1, 0, 0, 0, 0, 0, 0, 0), # FIN = 1, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 1(continuation frame)
(0, 0, 0, 0, 0, 0, 1, 0), # MASK = 0, Payload = 2
(0, 1, 1, 0, 1, 1, 0, 0), # ASCII l
(0, 1, 1, 0, 1, 1, 1, 1) # ASCII o
]
Unmasked Ping request and masked Ping response
0x89 0x05 0x48 0x65 0x6c 0x6c 0x6f
[
(1, 0, 0, 0, 1, 0, 0, 1), # FIN = 1, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 0x9(ping frame)
(0, 0, 0, 0, 0, 1, 0, 1), # MASK = 0, Payload_Len = 5
(0, 1, 0, 0, 1, 0, 0, 0), # ASCII, H
(0, 1, 1, 0, 0, 1, 0, 1), # ASCII, e
(0, 1, 1, 0, 1, 1, 0, 0), # ASCII, l
(0, 1, 1, 0, 1, 1, 0, 0), # ASCII, l
(0, 1, 1, 0, 1, 1, 1, 1) # ASCII, o
]
256 bytes binary message in a single unmasked frame
0x82 0x7E 0x0100 [256 bytes of binary data]
[
(1, 0, 0, 0, 0, 0, 1, 0), # FIN = 1, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 0x2(binary frame)
(0, 1, 1, 1, 1, 1, 1, 0), # MASK = 0, Payload = 126
(0, 0, 0, 0, 0, 0, 0, 1),
(0, 0, 0, 0, 0, 0, 0, 0) # (if payload len == 126)Extended payload length(16-bit) = 256
... # 256 bytes of binary data
]
64KiB binary message in a single unmasked frame
0x82 0x7F 0x0000000000010000 [65536 bytes of binary data]
[
(1, 0, 0, 0, 0, 0, 1, 0), # FIN = 1, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 0x2(binary frame)
(0, 1, 1, 1, 1, 1, 1, 1), # MASK = 0, Payload_Len = 127
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 0, 1),
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 0, 0) # (if payload len == 127)Extended payload length(64-bit) = 65536
... # 65536 bytes of binary data
]
'''
| """
Byte 0 * * * * * * * 1 * * * * * * * 2 * * * * * * * 3 * * * * * * * -
| | | | |
bit 0 | 1 | 2 | 3 |
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 |
+-+-+-+-+-------+-+-------------+-------------------------------+
|F|R|R|R| opcode|M| Payload len | Extended payload length |
|I|S|S|S| (4) |A| (7) | (16/64) |
|N|V|V|V| |S| | (if payload len==126/127) |
| |1|2|3| |K| | |
+-+-+-+-+-------+-+-------------+ - - - - - - - - - - - - - - - +
| Extended payload length continued, if payload len == 127 |
+ - - - - - - - - - - - - - - - +-------------------------------+
| |Masking-key, if MASK set to 1 |
+-------------------------------+-------------------------------+
| Masking-key (continued) | Payload Data |
+-------------------------------- - - - - - - - - - - - - - - - +
: Payload Data continued ... :
+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - +
| Payload Data continued ... |
+---------------------------------------------------------------+
A single-frame unmasked text message
0x81 0x05 0x48 0x65 0x6c 0x6c 0x6f
[
(1, 0, 0, 0, 0, 0, 0, 1), # FIN = 1, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 1(text frame)
(0, 0, 0, 0, 0, 1, 0, 1), # MASK = 0, Payload_Len = 5(Server to Client, Payload len = 5bytes)
(0, 1, 0, 0, 1, 0, 0, 0), # ASCII, H
(0, 1, 1, 0, 0, 1, 0, 1), # ASCII, e
(0, 1, 1, 0, 1, 1, 0, 0), # ASCII, l
(0, 1, 1, 0, 1, 1, 0, 0), # ASCII, l
(0, 1, 1, 0, 1, 1, 1, 1) # ASCII, o
]
A single-frame masked text message
0x81 0x85 0x37 0xfa 0x21 0x3d 0x7f 0x9f 0x4d 0x51 0x58
[
(1, 0, 0, 0, 0, 0, 0, 1), # FIN = 1, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 1(text frame)
(1, 0, 0, 0, 0, 1, 0, 1), # MASK = 1, Payload_Len = 5
(0, 0, 1, 1, 0, 1, 1, 1), # = 0x37
(1, 1, 1, 1, 1, 0, 1, 0), # = 0xfa
(0, 0, 1, 0, 0, 0, 0, 1), # = 0x21
(0, 0, 1, 1, 1, 1, 0, 1), # = 0x3d MASK_KEY = 0x37fa213d
(0, 1, 1, 1, 1, 1, 1, 1), # = 0x7f 0x7f ^ 0x37 = 72, ASCII H
(1, 0, 0, 1, 1, 1, 1, 1), # = 0x9f 0x9f ^ 0xfa = 101, ASCII e
(0, 1, 0, 0, 1, 1, 0, 1), # = 0x4d 0x4d ^ 0x21 = 108, ASCII l
(0, 1, 0, 1, 0, 0, 0, 1), # = 0x51 0x51 ^ 0x3d = 108, ASCII l
(0, 1, 0, 1, 1, 0, 0, 0) # = 0x85 0x58 ^ 0x37 = 111, ASCII o
]
A fragmented unmasked text message
fragmented_1: 0x01 0x03 0x48 0x65 0x6c
[
(0, 0, 0, 0, 0, 0, 0, 1), # FIN = 0, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 1(text frame)
(0, 0, 0, 0, 0, 0, 1, 1), # MASK = 0, Payload_Len = 3
(0, 1, 0, 0, 1, 0, 0, 0), # ASCII H
(0, 1, 1, 0, 0, 1, 0, 1), # ASCII e
(0, 1, 1, 0, 1, 1, 0, 0) # ASCII l
]
fragmented_2: 0x80 0x02 0x6c 0x6f
[
(1, 0, 0, 0, 0, 0, 0, 0), # FIN = 1, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 1(continuation frame)
(0, 0, 0, 0, 0, 0, 1, 0), # MASK = 0, Payload = 2
(0, 1, 1, 0, 1, 1, 0, 0), # ASCII l
(0, 1, 1, 0, 1, 1, 1, 1) # ASCII o
]
Unmasked Ping request and masked Ping response
0x89 0x05 0x48 0x65 0x6c 0x6c 0x6f
[
(1, 0, 0, 0, 1, 0, 0, 1), # FIN = 1, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 0x9(ping frame)
(0, 0, 0, 0, 0, 1, 0, 1), # MASK = 0, Payload_Len = 5
(0, 1, 0, 0, 1, 0, 0, 0), # ASCII, H
(0, 1, 1, 0, 0, 1, 0, 1), # ASCII, e
(0, 1, 1, 0, 1, 1, 0, 0), # ASCII, l
(0, 1, 1, 0, 1, 1, 0, 0), # ASCII, l
(0, 1, 1, 0, 1, 1, 1, 1) # ASCII, o
]
256 bytes binary message in a single unmasked frame
0x82 0x7E 0x0100 [256 bytes of binary data]
[
(1, 0, 0, 0, 0, 0, 1, 0), # FIN = 1, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 0x2(binary frame)
(0, 1, 1, 1, 1, 1, 1, 0), # MASK = 0, Payload = 126
(0, 0, 0, 0, 0, 0, 0, 1),
(0, 0, 0, 0, 0, 0, 0, 0) # (if payload len == 126)Extended payload length(16-bit) = 256
... # 256 bytes of binary data
]
64KiB binary message in a single unmasked frame
0x82 0x7F 0x0000000000010000 [65536 bytes of binary data]
[
(1, 0, 0, 0, 0, 0, 1, 0), # FIN = 1, RSV1 = 0, RSV2 = 0, RSV3 = 0, opcode = 0x2(binary frame)
(0, 1, 1, 1, 1, 1, 1, 1), # MASK = 0, Payload_Len = 127
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 0, 1),
(0, 0, 0, 0, 0, 0, 0, 0),
(0, 0, 0, 0, 0, 0, 0, 0) # (if payload len == 127)Extended payload length(64-bit) = 65536
... # 65536 bytes of binary data
]
""" |
class PostgresRouter:
# List what contain apps what can use default database.
route_app_labels = {'auth', 'contenttypes', 'sessions', 'admin', 'user', 'vacancies', 'social_django'}
def db_for_read(self, model, **hints):
"""
Attempts to read models in route_app_labels apps go to default db.
"""
if model._meta.app_label in self.route_app_labels:
return 'default'
return None
def db_for_write(self, model, **hints):
"""
Attempts to write models in route_app_labels apps go to default db.
"""
if model._meta.app_label in self.route_app_labels:
return 'default'
return None
def allow_relation(self, obj1, obj2, **hints):
"""
Allow relations if a model in route_app_labels apps is
involved.
"""
if (
obj1._meta.app_label in self.route_app_labels or
obj2._meta.app_label in self.route_app_labels
):
return True
return None
def allow_migrate(self, db, app_label, model_name=None, **hints):
"""
Make sure the apps in route_app_labels only appear in the
default db.
"""
if app_label in self.route_app_labels:
return db == 'default'
return None
class MongoRouter:
# List what contain apps what can use mongo database.
route_app_labels = {
'task',
'competition',
'news'
}
def db_for_read(self, model, **hints):
"""
Attempts to read models in route_app_labels apps go to mongo db.
"""
if model._meta.app_label in self.route_app_labels:
return 'mongo'
return None
def db_for_write(self, model, **hints):
"""
Attempts to write models in route_app_labels apps go to mongo db.
"""
if model._meta.app_label in self.route_app_labels:
return 'mongo'
return None
def allow_relation(self, obj1, obj2, **hints):
"""
Allow relations if a model in route_app_labels apps is
involved.
"""
if (
obj1._meta.app_label in self.route_app_labels or
obj2._meta.app_label in self.route_app_labels
):
return True
return None
def allow_migrate(self, db, app_label, model_name=None, **hints):
"""
Make sure the apps in route_app_labels only appear in the
mongo db.
"""
if app_label in self.route_app_labels:
return db == 'mongo'
return None
| class Postgresrouter:
route_app_labels = {'auth', 'contenttypes', 'sessions', 'admin', 'user', 'vacancies', 'social_django'}
def db_for_read(self, model, **hints):
"""
Attempts to read models in route_app_labels apps go to default db.
"""
if model._meta.app_label in self.route_app_labels:
return 'default'
return None
def db_for_write(self, model, **hints):
"""
Attempts to write models in route_app_labels apps go to default db.
"""
if model._meta.app_label in self.route_app_labels:
return 'default'
return None
def allow_relation(self, obj1, obj2, **hints):
"""
Allow relations if a model in route_app_labels apps is
involved.
"""
if obj1._meta.app_label in self.route_app_labels or obj2._meta.app_label in self.route_app_labels:
return True
return None
def allow_migrate(self, db, app_label, model_name=None, **hints):
"""
Make sure the apps in route_app_labels only appear in the
default db.
"""
if app_label in self.route_app_labels:
return db == 'default'
return None
class Mongorouter:
route_app_labels = {'task', 'competition', 'news'}
def db_for_read(self, model, **hints):
"""
Attempts to read models in route_app_labels apps go to mongo db.
"""
if model._meta.app_label in self.route_app_labels:
return 'mongo'
return None
def db_for_write(self, model, **hints):
"""
Attempts to write models in route_app_labels apps go to mongo db.
"""
if model._meta.app_label in self.route_app_labels:
return 'mongo'
return None
def allow_relation(self, obj1, obj2, **hints):
"""
Allow relations if a model in route_app_labels apps is
involved.
"""
if obj1._meta.app_label in self.route_app_labels or obj2._meta.app_label in self.route_app_labels:
return True
return None
def allow_migrate(self, db, app_label, model_name=None, **hints):
"""
Make sure the apps in route_app_labels only appear in the
mongo db.
"""
if app_label in self.route_app_labels:
return db == 'mongo'
return None |
# -*- coding: utf-8 -*-
"""Mixins to be implemented by user."""
class AuxiliaryMixin(object):
"""User defined mixin class for Auxiliary."""
def __init__(self, base_Class=None, **kwargs):
super(AuxiliaryMixin, self).__init__()
class CallMixin(object):
"""User defined mixin class for Call."""
def __init__(self, base_Usage=None, **kwargs):
super(CallMixin, self).__init__()
def client_and_supplier_are_operations(self, diagnostics=None, context=None):
"""self.base_Usage.client->forAll(oclIsKindOf(Operation)) and
self.base_Usage.supplier->forAll(oclIsKindOf(Operation))"""
raise NotImplementedError(
"operation client_and_supplier_are_operations(...) not yet implemented"
)
class CreateMixin(object):
"""User defined mixin class for Create."""
def __init__(self, base_BehavioralFeature=None, base_Usage=None, **kwargs):
super(CreateMixin, self).__init__()
def client_and_supplier_are_classifiers(self, diagnostics=None, context=None):
"""self.base_Usage->notEmpty() implies
(self.base_Usage.client->forAll(oclIsKindOf(Classifier)) and
self.base_Usage.supplier->forAll(oclIsKindOf(Classifier)))"""
raise NotImplementedError(
"operation client_and_supplier_are_classifiers(...) not yet implemented"
)
class DeriveMixin(object):
"""User defined mixin class for Derive."""
def __init__(self, computation=None, base_Abstraction=None, **kwargs):
super(DeriveMixin, self).__init__()
class DestroyMixin(object):
"""User defined mixin class for Destroy."""
def __init__(self, base_BehavioralFeature=None, **kwargs):
super(DestroyMixin, self).__init__()
class FileMixin(object):
"""User defined mixin class for File."""
def __init__(self, base_Artifact=None, **kwargs):
super(FileMixin, self).__init__()
class EntityMixin(object):
"""User defined mixin class for Entity."""
def __init__(self, base_Component=None, **kwargs):
super(EntityMixin, self).__init__()
class FocusMixin(object):
"""User defined mixin class for Focus."""
def __init__(self, base_Class=None, **kwargs):
super(FocusMixin, self).__init__()
class FrameworkMixin(object):
"""User defined mixin class for Framework."""
def __init__(self, base_Package=None, **kwargs):
super(FrameworkMixin, self).__init__()
class ImplementMixin(object):
"""User defined mixin class for Implement."""
def __init__(self, base_Component=None, **kwargs):
super(ImplementMixin, self).__init__()
def implements_specification(self, diagnostics=None, context=None):
"""self.base_Component.clientDependency.supplier->select(
oclIsKindOf(Classifier)).oclAsType(Classifier).extension_Specificaiton->
notEmpty()"""
raise NotImplementedError(
"operation implements_specification(...) not yet implemented"
)
class ImplementationClassMixin(object):
"""User defined mixin class for ImplementationClass."""
def __init__(self, base_Class=None, **kwargs):
super(ImplementationClassMixin, self).__init__()
def cannot_be_realization(self, diagnostics=None, context=None):
"""self.base_Class.extension_Realization->isEmpty()"""
raise NotImplementedError(
"operation cannot_be_realization(...) not yet implemented"
)
class InstantiateMixin(object):
"""User defined mixin class for Instantiate."""
def __init__(self, base_Usage=None, **kwargs):
super(InstantiateMixin, self).__init__()
def client_and_supplier_are_classifiers(self, diagnostics=None, context=None):
"""self.base_Usage.client->forAll(oclIsKindOf(Classifier)) and
self.base_Usage.supplier->forAll(oclIsKindOf(Classifier))"""
raise NotImplementedError(
"operation client_and_supplier_are_classifiers(...) not yet implemented"
)
class MetaclassMixin(object):
"""User defined mixin class for Metaclass."""
def __init__(self, base_Class=None, **kwargs):
super(MetaclassMixin, self).__init__()
class ModelLibraryMixin(object):
"""User defined mixin class for ModelLibrary."""
def __init__(self, base_Package=None, **kwargs):
super(ModelLibraryMixin, self).__init__()
class ProcessMixin(object):
"""User defined mixin class for Process."""
def __init__(self, base_Component=None, **kwargs):
super(ProcessMixin, self).__init__()
class RealizationMixin(object):
"""User defined mixin class for Realization."""
def __init__(self, base_Classifier=None, **kwargs):
super(RealizationMixin, self).__init__()
def cannot_be_implementation_class(self, diagnostics=None, context=None):
"""self.base_Classifier.extension_ImplementationClass->isEmpty()"""
raise NotImplementedError(
"operation cannot_be_implementation_class(...) not yet implemented"
)
class RefineMixin(object):
"""User defined mixin class for Refine."""
def __init__(self, base_Abstraction=None, **kwargs):
super(RefineMixin, self).__init__()
class ResponsibilityMixin(object):
"""User defined mixin class for Responsibility."""
def __init__(self, base_Usage=None, **kwargs):
super(ResponsibilityMixin, self).__init__()
class SendMixin(object):
"""User defined mixin class for Send."""
def __init__(self, base_Usage=None, **kwargs):
super(SendMixin, self).__init__()
def client_operation_sends_supplier_signal(self, diagnostics=None, context=None):
"""self.base_Usage.client->forAll(oclIsKindOf(Operation)) and
self.base_Usage.supplier->forAll(oclIsKindOf(Signal))"""
raise NotImplementedError(
"operation client_operation_sends_supplier_signal(...) not yet implemented"
)
class ServiceMixin(object):
"""User defined mixin class for Service."""
def __init__(self, base_Component=None, **kwargs):
super(ServiceMixin, self).__init__()
class SpecificationMixin(object):
"""User defined mixin class for Specification."""
def __init__(self, base_Classifier=None, **kwargs):
super(SpecificationMixin, self).__init__()
def cannot_be_type(self, diagnostics=None, context=None):
"""self.base_Classifier.extension_Type->isEmpty()"""
raise NotImplementedError("operation cannot_be_type(...) not yet implemented")
class SubsystemMixin(object):
"""User defined mixin class for Subsystem."""
def __init__(self, base_Component=None, **kwargs):
super(SubsystemMixin, self).__init__()
class TraceMixin(object):
"""User defined mixin class for Trace."""
def __init__(self, base_Abstraction=None, **kwargs):
super(TraceMixin, self).__init__()
class TypeMixin(object):
"""User defined mixin class for Type."""
def __init__(self, base_Class=None, **kwargs):
super(TypeMixin, self).__init__()
def cannot_be_specification(self, diagnostics=None, context=None):
"""self.base_Class.extension_Specification->isEmpty()"""
raise NotImplementedError(
"operation cannot_be_specification(...) not yet implemented"
)
class UtilityMixin(object):
"""User defined mixin class for Utility."""
def __init__(self, base_Class=None, **kwargs):
super(UtilityMixin, self).__init__()
def is_utility(self, diagnostics=None, context=None):
"""self.base_Class.feature->forAll(isStatic)"""
raise NotImplementedError("operation is_utility(...) not yet implemented")
class BuildComponentMixin(object):
"""User defined mixin class for BuildComponent."""
def __init__(self, base_Component=None, **kwargs):
super(BuildComponentMixin, self).__init__()
class MetamodelMixin(object):
"""User defined mixin class for Metamodel."""
def __init__(self, base_Model=None, **kwargs):
super(MetamodelMixin, self).__init__()
class SystemModelMixin(object):
"""User defined mixin class for SystemModel."""
def __init__(self, base_Model=None, **kwargs):
super(SystemModelMixin, self).__init__()
class DocumentMixin(object):
"""User defined mixin class for Document."""
def __init__(self, **kwargs):
super(DocumentMixin, self).__init__(**kwargs)
class ExecutableMixin(object):
"""User defined mixin class for Executable."""
def __init__(self, **kwargs):
super(ExecutableMixin, self).__init__(**kwargs)
class LibraryMixin(object):
"""User defined mixin class for Library."""
def __init__(self, **kwargs):
super(LibraryMixin, self).__init__(**kwargs)
class ScriptMixin(object):
"""User defined mixin class for Script."""
def __init__(self, **kwargs):
super(ScriptMixin, self).__init__(**kwargs)
class SourceMixin(object):
"""User defined mixin class for Source."""
def __init__(self, **kwargs):
super(SourceMixin, self).__init__(**kwargs)
| """Mixins to be implemented by user."""
class Auxiliarymixin(object):
"""User defined mixin class for Auxiliary."""
def __init__(self, base_Class=None, **kwargs):
super(AuxiliaryMixin, self).__init__()
class Callmixin(object):
"""User defined mixin class for Call."""
def __init__(self, base_Usage=None, **kwargs):
super(CallMixin, self).__init__()
def client_and_supplier_are_operations(self, diagnostics=None, context=None):
"""self.base_Usage.client->forAll(oclIsKindOf(Operation)) and
self.base_Usage.supplier->forAll(oclIsKindOf(Operation))"""
raise not_implemented_error('operation client_and_supplier_are_operations(...) not yet implemented')
class Createmixin(object):
"""User defined mixin class for Create."""
def __init__(self, base_BehavioralFeature=None, base_Usage=None, **kwargs):
super(CreateMixin, self).__init__()
def client_and_supplier_are_classifiers(self, diagnostics=None, context=None):
"""self.base_Usage->notEmpty() implies
(self.base_Usage.client->forAll(oclIsKindOf(Classifier)) and
self.base_Usage.supplier->forAll(oclIsKindOf(Classifier)))"""
raise not_implemented_error('operation client_and_supplier_are_classifiers(...) not yet implemented')
class Derivemixin(object):
"""User defined mixin class for Derive."""
def __init__(self, computation=None, base_Abstraction=None, **kwargs):
super(DeriveMixin, self).__init__()
class Destroymixin(object):
"""User defined mixin class for Destroy."""
def __init__(self, base_BehavioralFeature=None, **kwargs):
super(DestroyMixin, self).__init__()
class Filemixin(object):
"""User defined mixin class for File."""
def __init__(self, base_Artifact=None, **kwargs):
super(FileMixin, self).__init__()
class Entitymixin(object):
"""User defined mixin class for Entity."""
def __init__(self, base_Component=None, **kwargs):
super(EntityMixin, self).__init__()
class Focusmixin(object):
"""User defined mixin class for Focus."""
def __init__(self, base_Class=None, **kwargs):
super(FocusMixin, self).__init__()
class Frameworkmixin(object):
"""User defined mixin class for Framework."""
def __init__(self, base_Package=None, **kwargs):
super(FrameworkMixin, self).__init__()
class Implementmixin(object):
"""User defined mixin class for Implement."""
def __init__(self, base_Component=None, **kwargs):
super(ImplementMixin, self).__init__()
def implements_specification(self, diagnostics=None, context=None):
"""self.base_Component.clientDependency.supplier->select(
oclIsKindOf(Classifier)).oclAsType(Classifier).extension_Specificaiton->
notEmpty()"""
raise not_implemented_error('operation implements_specification(...) not yet implemented')
class Implementationclassmixin(object):
"""User defined mixin class for ImplementationClass."""
def __init__(self, base_Class=None, **kwargs):
super(ImplementationClassMixin, self).__init__()
def cannot_be_realization(self, diagnostics=None, context=None):
"""self.base_Class.extension_Realization->isEmpty()"""
raise not_implemented_error('operation cannot_be_realization(...) not yet implemented')
class Instantiatemixin(object):
"""User defined mixin class for Instantiate."""
def __init__(self, base_Usage=None, **kwargs):
super(InstantiateMixin, self).__init__()
def client_and_supplier_are_classifiers(self, diagnostics=None, context=None):
"""self.base_Usage.client->forAll(oclIsKindOf(Classifier)) and
self.base_Usage.supplier->forAll(oclIsKindOf(Classifier))"""
raise not_implemented_error('operation client_and_supplier_are_classifiers(...) not yet implemented')
class Metaclassmixin(object):
"""User defined mixin class for Metaclass."""
def __init__(self, base_Class=None, **kwargs):
super(MetaclassMixin, self).__init__()
class Modellibrarymixin(object):
"""User defined mixin class for ModelLibrary."""
def __init__(self, base_Package=None, **kwargs):
super(ModelLibraryMixin, self).__init__()
class Processmixin(object):
"""User defined mixin class for Process."""
def __init__(self, base_Component=None, **kwargs):
super(ProcessMixin, self).__init__()
class Realizationmixin(object):
"""User defined mixin class for Realization."""
def __init__(self, base_Classifier=None, **kwargs):
super(RealizationMixin, self).__init__()
def cannot_be_implementation_class(self, diagnostics=None, context=None):
"""self.base_Classifier.extension_ImplementationClass->isEmpty()"""
raise not_implemented_error('operation cannot_be_implementation_class(...) not yet implemented')
class Refinemixin(object):
"""User defined mixin class for Refine."""
def __init__(self, base_Abstraction=None, **kwargs):
super(RefineMixin, self).__init__()
class Responsibilitymixin(object):
"""User defined mixin class for Responsibility."""
def __init__(self, base_Usage=None, **kwargs):
super(ResponsibilityMixin, self).__init__()
class Sendmixin(object):
"""User defined mixin class for Send."""
def __init__(self, base_Usage=None, **kwargs):
super(SendMixin, self).__init__()
def client_operation_sends_supplier_signal(self, diagnostics=None, context=None):
"""self.base_Usage.client->forAll(oclIsKindOf(Operation)) and
self.base_Usage.supplier->forAll(oclIsKindOf(Signal))"""
raise not_implemented_error('operation client_operation_sends_supplier_signal(...) not yet implemented')
class Servicemixin(object):
"""User defined mixin class for Service."""
def __init__(self, base_Component=None, **kwargs):
super(ServiceMixin, self).__init__()
class Specificationmixin(object):
"""User defined mixin class for Specification."""
def __init__(self, base_Classifier=None, **kwargs):
super(SpecificationMixin, self).__init__()
def cannot_be_type(self, diagnostics=None, context=None):
"""self.base_Classifier.extension_Type->isEmpty()"""
raise not_implemented_error('operation cannot_be_type(...) not yet implemented')
class Subsystemmixin(object):
"""User defined mixin class for Subsystem."""
def __init__(self, base_Component=None, **kwargs):
super(SubsystemMixin, self).__init__()
class Tracemixin(object):
"""User defined mixin class for Trace."""
def __init__(self, base_Abstraction=None, **kwargs):
super(TraceMixin, self).__init__()
class Typemixin(object):
"""User defined mixin class for Type."""
def __init__(self, base_Class=None, **kwargs):
super(TypeMixin, self).__init__()
def cannot_be_specification(self, diagnostics=None, context=None):
"""self.base_Class.extension_Specification->isEmpty()"""
raise not_implemented_error('operation cannot_be_specification(...) not yet implemented')
class Utilitymixin(object):
"""User defined mixin class for Utility."""
def __init__(self, base_Class=None, **kwargs):
super(UtilityMixin, self).__init__()
def is_utility(self, diagnostics=None, context=None):
"""self.base_Class.feature->forAll(isStatic)"""
raise not_implemented_error('operation is_utility(...) not yet implemented')
class Buildcomponentmixin(object):
"""User defined mixin class for BuildComponent."""
def __init__(self, base_Component=None, **kwargs):
super(BuildComponentMixin, self).__init__()
class Metamodelmixin(object):
"""User defined mixin class for Metamodel."""
def __init__(self, base_Model=None, **kwargs):
super(MetamodelMixin, self).__init__()
class Systemmodelmixin(object):
"""User defined mixin class for SystemModel."""
def __init__(self, base_Model=None, **kwargs):
super(SystemModelMixin, self).__init__()
class Documentmixin(object):
"""User defined mixin class for Document."""
def __init__(self, **kwargs):
super(DocumentMixin, self).__init__(**kwargs)
class Executablemixin(object):
"""User defined mixin class for Executable."""
def __init__(self, **kwargs):
super(ExecutableMixin, self).__init__(**kwargs)
class Librarymixin(object):
"""User defined mixin class for Library."""
def __init__(self, **kwargs):
super(LibraryMixin, self).__init__(**kwargs)
class Scriptmixin(object):
"""User defined mixin class for Script."""
def __init__(self, **kwargs):
super(ScriptMixin, self).__init__(**kwargs)
class Sourcemixin(object):
"""User defined mixin class for Source."""
def __init__(self, **kwargs):
super(SourceMixin, self).__init__(**kwargs) |
# Automatically generated
# pylint: disable=all
get = [{'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.5, 'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1, 'SizeInMiB': 3840, 'TotalSizeInGB': 4, 'Disks': [{'SizeInGB': 4, 'Count': 1, 'Type': 'ssd'}], 'NvmeSupport': 'unsupported', 'EncryptionSupport': 'supported', 'EbsOptimizedSupport': 'unsupported', 'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 2, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 2}], 'Ipv4AddressesPerInterface': 6, 'Ipv6AddressesPerInterface': 0, 'Ipv6Supported': False, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['partition', 'spread'], 'InstanceType': 'm3.medium', 'CurrentGeneration': False, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs', 'instance-store'], 'SupportedVirtualizationTypes': ['hvm', 'paravirtual'], 'BareMetal': False, 'Hypervisor': 'xen', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.5}, 'VCpuInfo': {'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1}, 'MemoryInfo': {'SizeInMiB': 3840}, 'InstanceStorageSupported': True, 'InstanceStorageInfo': {'TotalSizeInGB': 4, 'Disks': [{'SizeInGB': 4, 'Count': 1, 'Type': 'ssd'}], 'NvmeSupport': 'unsupported', 'EncryptionSupport': 'unsupported'}, 'EbsInfo': {'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported'}, 'NetworkInfo': {'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 2, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 2}], 'Ipv4AddressesPerInterface': 6, 'Ipv6AddressesPerInterface': 0, 'Ipv6Supported': False, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios']}, {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.5, 'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1, 'SizeInMiB': 1024, 'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported', 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2}], 'Ipv4AddressesPerInterface': 2, 'Ipv6AddressesPerInterface': 2, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['partition', 'spread'], 'InstanceType': 't2.micro', 'CurrentGeneration': True, 'FreeTierEligible': True, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'xen', 'ProcessorInfo': {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.5}, 'VCpuInfo': {'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1}, 'MemoryInfo': {'SizeInMiB': 1024}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported'}, 'NetworkInfo': {'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2}], 'Ipv4AddressesPerInterface': 2, 'Ipv6AddressesPerInterface': 2, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': True, 'DedicatedHostsSupported': False, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios']}, {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.4, 'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1, 'SizeInMiB': 512, 'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported', 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2}], 'Ipv4AddressesPerInterface': 2, 'Ipv6AddressesPerInterface': 2, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['partition', 'spread'], 'InstanceType': 't2.nano', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'xen', 'ProcessorInfo': {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.4}, 'VCpuInfo': {'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1}, 'MemoryInfo': {'SizeInMiB': 512}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported'}, 'NetworkInfo': {'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2}], 'Ipv4AddressesPerInterface': 2, 'Ipv6AddressesPerInterface': 2, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': True, 'DedicatedHostsSupported': False, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios']}, {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.5, 'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1, 'SizeInMiB': 2048, 'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported', 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 3, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 3}], 'Ipv4AddressesPerInterface': 4, 'Ipv6AddressesPerInterface': 4, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['partition', 'spread'], 'InstanceType': 't2.small', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'xen', 'ProcessorInfo': {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.5}, 'VCpuInfo': {'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1}, 'MemoryInfo': {'SizeInMiB': 2048}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported'}, 'NetworkInfo': {'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 3, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 3}], 'Ipv4AddressesPerInterface': 4, 'Ipv6AddressesPerInterface': 4, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': True, 'DedicatedHostsSupported': False, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios']}, {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.8, 'DefaultVCpus': 2, 'DefaultCores': 1, 'DefaultThreadsPerCore': 2, 'ValidCores': [1], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 3840, 'TotalSizeInGB': 32, 'Disks': [{'SizeInGB': 16, 'Count': 2, 'Type': 'ssd'}], 'NvmeSupport': 'unsupported', 'EncryptionSupport': 'supported', 'EbsOptimizedSupport': 'unsupported', 'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 3, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 3}], 'Ipv4AddressesPerInterface': 10, 'Ipv6AddressesPerInterface': 10, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c3.large', 'CurrentGeneration': False, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs', 'instance-store'], 'SupportedVirtualizationTypes': ['hvm', 'paravirtual'], 'BareMetal': False, 'Hypervisor': 'xen', 'ProcessorInfo': {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.8}, 'VCpuInfo': {'DefaultVCpus': 2, 'DefaultCores': 1, 'DefaultThreadsPerCore': 2, 'ValidCores': [1], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 3840}, 'InstanceStorageSupported': True, 'InstanceStorageInfo': {'TotalSizeInGB': 32, 'Disks': [{'SizeInGB': 16, 'Count': 2, 'Type': 'ssd'}], 'NvmeSupport': 'unsupported', 'EncryptionSupport': 'unsupported'}, 'EbsInfo': {'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported'}, 'NetworkInfo': {'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 3, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 3}], 'Ipv4AddressesPerInterface': 10, 'Ipv6AddressesPerInterface': 10, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.9, 'DefaultVCpus': 2, 'DefaultCores': 1, 'DefaultThreadsPerCore': 2, 'ValidCores': [1], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 3840, 'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 500, 'BaselineThroughputInMBps': 62.5, 'BaselineIops': 4000, 'MaximumBandwidthInMbps': 500, 'MaximumThroughputInMBps': 62.5, 'MaximumIops': 4000}, 'NvmeSupport': 'unsupported', 'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 3, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 3}], 'Ipv4AddressesPerInterface': 10, 'Ipv6AddressesPerInterface': 10, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c4.large', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'xen', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.9}, 'VCpuInfo': {'DefaultVCpus': 2, 'DefaultCores': 1, 'DefaultThreadsPerCore': 2, 'ValidCores': [1], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 3840}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 500, 'BaselineThroughputInMBps': 62.5, 'BaselineIops': 4000, 'MaximumBandwidthInMbps': 500, 'MaximumThroughputInMBps': 62.5, 'MaximumIops': 4000}, 'NvmeSupport': 'unsupported'}, 'NetworkInfo': {'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 3, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 3}], 'Ipv4AddressesPerInterface': 10, 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'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.9}, 'VCpuInfo': {'DefaultVCpus': 36, 'DefaultCores': 18, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 61440}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 4000, 'BaselineThroughputInMBps': 500.0, 'BaselineIops': 32000, 'MaximumBandwidthInMbps': 4000, 'MaximumThroughputInMBps': 500.0, 'MaximumIops': 32000}, 'NvmeSupport': 'unsupported'}, 'NetworkInfo': {'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4, 'DefaultVCpus': 36, 'DefaultCores': 18, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 73728, 'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NvmeSupport': 'required', 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c5.9xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4}, 'VCpuInfo': {'DefaultVCpus': 36, 'DefaultCores': 18, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 73728}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4, 'DefaultVCpus': 36, 'DefaultCores': 18, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 73728, 'TotalSizeInGB': 900, 'Disks': [{'SizeInGB': 900, 'Count': 1, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'supported', 'EbsOptimizedSupport': 'default', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c5d.9xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4}, 'VCpuInfo': {'DefaultVCpus': 36, 'DefaultCores': 18, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 73728}, 'InstanceStorageSupported': True, 'InstanceStorageInfo': {'TotalSizeInGB': 900, 'Disks': [{'SizeInGB': 900, 'Count': 1, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'required'}, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': False, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.6, 'DefaultVCpus': 48, 'DefaultCores': 24, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 98304, 'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NvmeSupport': 'required', 'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c5.12xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.6}, 'VCpuInfo': {'DefaultVCpus': 48, 'DefaultCores': 24, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 98304}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': False, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.6, 'DefaultVCpus': 48, 'DefaultCores': 24, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 98304, 'TotalSizeInGB': 1800, 'Disks': [{'SizeInGB': 900, 'Count': 2, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'supported', 'EbsOptimizedSupport': 'default', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c5d.12xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.6}, 'VCpuInfo': {'DefaultVCpus': 48, 'DefaultCores': 24, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 98304}, 'InstanceStorageSupported': True, 'InstanceStorageInfo': {'TotalSizeInGB': 1800, 'Disks': [{'SizeInGB': 900, 'Count': 2, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'required'}, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': False, 'AutoRecoverySupported': False, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4, 'DefaultVCpus': 72, 'DefaultCores': 36, 'DefaultThreadsPerCore': 2, 'ValidCores': [4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 147456, 'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required', 'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c5.18xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4}, 'VCpuInfo': {'DefaultVCpus': 72, 'DefaultCores': 36, 'DefaultThreadsPerCore': 2, 'ValidCores': [4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 147456}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4, 'DefaultVCpus': 72, 'DefaultCores': 36, 'DefaultThreadsPerCore': 2, 'ValidCores': [4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 147456, 'TotalSizeInGB': 1800, 'Disks': [{'SizeInGB': 900, 'Count': 2, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'supported', 'EbsOptimizedSupport': 'default', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c5d.18xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4}, 'VCpuInfo': {'DefaultVCpus': 72, 'DefaultCores': 36, 'DefaultThreadsPerCore': 2, 'ValidCores': [4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 147456}, 'InstanceStorageSupported': True, 'InstanceStorageInfo': {'TotalSizeInGB': 1800, 'Disks': [{'SizeInGB': 900, 'Count': 2, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'required'}, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': False, 'SupportedBootModes': ['legacy-bios', 'uefi']}] # noqa: E501
def get_instances_list() -> list:
'''Returns list EC2 instances with HibernationSupported = True .'''
# pylint: disable=all
return get
| get = [{'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.5, 'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1, 'SizeInMiB': 3840, 'TotalSizeInGB': 4, 'Disks': [{'SizeInGB': 4, 'Count': 1, 'Type': 'ssd'}], 'NvmeSupport': 'unsupported', 'EncryptionSupport': 'supported', 'EbsOptimizedSupport': 'unsupported', 'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 2, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 2}], 'Ipv4AddressesPerInterface': 6, 'Ipv6AddressesPerInterface': 0, 'Ipv6Supported': False, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['partition', 'spread'], 'InstanceType': 'm3.medium', 'CurrentGeneration': False, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs', 'instance-store'], 'SupportedVirtualizationTypes': ['hvm', 'paravirtual'], 'BareMetal': False, 'Hypervisor': 'xen', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.5}, 'VCpuInfo': {'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1}, 'MemoryInfo': {'SizeInMiB': 3840}, 'InstanceStorageSupported': True, 'InstanceStorageInfo': {'TotalSizeInGB': 4, 'Disks': [{'SizeInGB': 4, 'Count': 1, 'Type': 'ssd'}], 'NvmeSupport': 'unsupported', 'EncryptionSupport': 'unsupported'}, 'EbsInfo': {'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported'}, 'NetworkInfo': {'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 2, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Moderate', 'MaximumNetworkInterfaces': 2}], 'Ipv4AddressesPerInterface': 6, 'Ipv6AddressesPerInterface': 0, 'Ipv6Supported': False, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios']}, {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.5, 'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1, 'SizeInMiB': 1024, 'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported', 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2}], 'Ipv4AddressesPerInterface': 2, 'Ipv6AddressesPerInterface': 2, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['partition', 'spread'], 'InstanceType': 't2.micro', 'CurrentGeneration': True, 'FreeTierEligible': True, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'xen', 'ProcessorInfo': {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.5}, 'VCpuInfo': {'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1}, 'MemoryInfo': {'SizeInMiB': 1024}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported'}, 'NetworkInfo': {'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2}], 'Ipv4AddressesPerInterface': 2, 'Ipv6AddressesPerInterface': 2, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': True, 'DedicatedHostsSupported': False, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios']}, {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.4, 'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1, 'SizeInMiB': 512, 'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported', 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2}], 'Ipv4AddressesPerInterface': 2, 'Ipv6AddressesPerInterface': 2, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['partition', 'spread'], 'InstanceType': 't2.nano', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'xen', 'ProcessorInfo': {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.4}, 'VCpuInfo': {'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1}, 'MemoryInfo': {'SizeInMiB': 512}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported'}, 'NetworkInfo': {'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 2}], 'Ipv4AddressesPerInterface': 2, 'Ipv6AddressesPerInterface': 2, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': True, 'DedicatedHostsSupported': False, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios']}, {'SupportedArchitectures': ['i386', 'x86_64'], 'SustainedClockSpeedInGhz': 2.5, 'DefaultVCpus': 1, 'DefaultCores': 1, 'DefaultThreadsPerCore': 1, 'SizeInMiB': 2048, 'EbsOptimizedSupport': 'unsupported', 'EncryptionSupport': 'supported', 'NvmeSupport': 'unsupported', 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 3, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': 'Low to Moderate', 'MaximumNetworkInterfaces': 3}], 'Ipv4AddressesPerInterface': 4, 'Ipv6AddressesPerInterface': 4, 'Ipv6Supported': True, 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'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 131072, 'TotalSizeInGB': 1200, 'Disks': [{'SizeInGB': 600, 'Count': 2, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'supported', 'EbsOptimizedSupport': 'default', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 6800, 'BaselineThroughputInMBps': 850.0, 'BaselineIops': 30000, 'MaximumBandwidthInMbps': 6800, 'MaximumThroughputInMBps': 850.0, 'MaximumIops': 30000}, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'm5d.8xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.1}, 'VCpuInfo': {'DefaultVCpus': 32, 'DefaultCores': 16, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 131072}, 'InstanceStorageSupported': True, 'InstanceStorageInfo': {'TotalSizeInGB': 1200, 'Disks': [{'SizeInGB': 600, 'Count': 2, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'required'}, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 6800, 'BaselineThroughputInMBps': 850.0, 'BaselineIops': 30000, 'MaximumBandwidthInMbps': 6800, 'MaximumThroughputInMBps': 850.0, 'MaximumIops': 30000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': False, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.9, 'DefaultVCpus': 36, 'DefaultCores': 18, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 61440, 'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 4000, 'BaselineThroughputInMBps': 500.0, 'BaselineIops': 32000, 'MaximumBandwidthInMbps': 4000, 'MaximumThroughputInMBps': 500.0, 'MaximumIops': 32000}, 'NvmeSupport': 'unsupported', 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c4.8xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'xen', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.9}, 'VCpuInfo': {'DefaultVCpus': 36, 'DefaultCores': 18, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 61440}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 4000, 'BaselineThroughputInMBps': 500.0, 'BaselineIops': 32000, 'MaximumBandwidthInMbps': 4000, 'MaximumThroughputInMBps': 500.0, 'MaximumIops': 32000}, 'NvmeSupport': 'unsupported'}, 'NetworkInfo': {'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'unsupported', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4, 'DefaultVCpus': 36, 'DefaultCores': 18, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 73728, 'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NvmeSupport': 'required', 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c5.9xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4}, 'VCpuInfo': {'DefaultVCpus': 36, 'DefaultCores': 18, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 73728}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4, 'DefaultVCpus': 36, 'DefaultCores': 18, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 73728, 'TotalSizeInGB': 900, 'Disks': [{'SizeInGB': 900, 'Count': 1, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'supported', 'EbsOptimizedSupport': 'default', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c5d.9xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4}, 'VCpuInfo': {'DefaultVCpus': 36, 'DefaultCores': 18, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 73728}, 'InstanceStorageSupported': True, 'InstanceStorageInfo': {'TotalSizeInGB': 900, 'Disks': [{'SizeInGB': 900, 'Count': 1, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'required'}, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '10 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': False, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.6, 'DefaultVCpus': 48, 'DefaultCores': 24, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 98304, 'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NvmeSupport': 'required', 'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c5.12xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.6}, 'VCpuInfo': {'DefaultVCpus': 48, 'DefaultCores': 24, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 98304}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': False, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.6, 'DefaultVCpus': 48, 'DefaultCores': 24, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 98304, 'TotalSizeInGB': 1800, 'Disks': [{'SizeInGB': 900, 'Count': 2, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'supported', 'EbsOptimizedSupport': 'default', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c5d.12xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.6}, 'VCpuInfo': {'DefaultVCpus': 48, 'DefaultCores': 24, 'DefaultThreadsPerCore': 2, 'ValidCores': [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 98304}, 'InstanceStorageSupported': True, 'InstanceStorageInfo': {'TotalSizeInGB': 1800, 'Disks': [{'SizeInGB': 900, 'Count': 2, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'required'}, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 9500, 'BaselineThroughputInMBps': 1187.5, 'BaselineIops': 40000, 'MaximumBandwidthInMbps': 9500, 'MaximumThroughputInMBps': 1187.5, 'MaximumIops': 40000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '12 Gigabit', 'MaximumNetworkInterfaces': 8}], 'Ipv4AddressesPerInterface': 30, 'Ipv6AddressesPerInterface': 30, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': False, 'AutoRecoverySupported': False, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4, 'DefaultVCpus': 72, 'DefaultCores': 36, 'DefaultThreadsPerCore': 2, 'ValidCores': [4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 147456, 'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required', 'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c5.18xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4}, 'VCpuInfo': {'DefaultVCpus': 72, 'DefaultCores': 36, 'DefaultThreadsPerCore': 2, 'ValidCores': [4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 147456}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4, 'DefaultVCpus': 72, 'DefaultCores': 36, 'DefaultThreadsPerCore': 2, 'ValidCores': [4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 147456, 'TotalSizeInGB': 1800, 'Disks': [{'SizeInGB': 900, 'Count': 2, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'supported', 'EbsOptimizedSupport': 'default', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'c5d.18xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand', 'spot'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 3.4}, 'VCpuInfo': {'DefaultVCpus': 72, 'DefaultCores': 36, 'DefaultThreadsPerCore': 2, 'ValidCores': [4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 147456}, 'InstanceStorageSupported': True, 'InstanceStorageInfo': {'TotalSizeInGB': 1800, 'Disks': [{'SizeInGB': 900, 'Count': 2, 'Type': 'ssd'}], 'NvmeSupport': 'required', 'EncryptionSupport': 'required'}, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '25 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': False}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': True, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': False, 'SupportedBootModes': ['legacy-bios', 'uefi']}]
def get_instances_list() -> list:
"""Returns list EC2 instances with HibernationSupported = True ."""
return get |
#!/usr/bin/env python3
class ProjectMain:
data = dict()
def __init__(self):
pass
def get_greeting(self):
return self.data.get('greeting')
def set_greeting(self, greeting = 'Hello user!'):
self.data.setdefault('greeting', greeting)
| class Projectmain:
data = dict()
def __init__(self):
pass
def get_greeting(self):
return self.data.get('greeting')
def set_greeting(self, greeting='Hello user!'):
self.data.setdefault('greeting', greeting) |
# Copyright (C) 2018 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Names of pre and postfixes of methods used in various classes
in lower case."""
SELECT_PREFIX = "select_"
| """Names of pre and postfixes of methods used in various classes
in lower case."""
select_prefix = 'select_' |
# V0
# V1
# https://blog.csdn.net/fuxuemingzhu/article/details/83539773
class Solution(object):
def beautifulArray(self, N):
"""
:type N: int
:rtype: List[int]
"""
res = [1]
while len(res) < N:
res = [2 * i - 1 for i in res] + [2 * i for i in res]
return [i for i in res if i <= N]
# V1'
# https://blog.csdn.net/fuxuemingzhu/article/details/83539773
# IDEA : ITERATION
class Solution(object):
def beautifulArray(self, N):
"""
:type N: int
:rtype: List[int]
"""
if N == 1: return [1]
odd = [i * 2 - 1 for i in self.beautifulArray(N / 2 + N % 2)]
even = [i * 2 for i in self.beautifulArray(N / 2)]
return odd + even
# V2
# Time: O(n)
# Space: O(n)
class Solution(object):
def beautifulArray(self, N):
"""
:type N: int
:rtype: List[int]
"""
result = [1]
while len(result) < N:
result = [i*2 - 1 for i in result] + [i*2 for i in result]
return [i for i in result if i <= N] | class Solution(object):
def beautiful_array(self, N):
"""
:type N: int
:rtype: List[int]
"""
res = [1]
while len(res) < N:
res = [2 * i - 1 for i in res] + [2 * i for i in res]
return [i for i in res if i <= N]
class Solution(object):
def beautiful_array(self, N):
"""
:type N: int
:rtype: List[int]
"""
if N == 1:
return [1]
odd = [i * 2 - 1 for i in self.beautifulArray(N / 2 + N % 2)]
even = [i * 2 for i in self.beautifulArray(N / 2)]
return odd + even
class Solution(object):
def beautiful_array(self, N):
"""
:type N: int
:rtype: List[int]
"""
result = [1]
while len(result) < N:
result = [i * 2 - 1 for i in result] + [i * 2 for i in result]
return [i for i in result if i <= N] |
class Rect(object):
def __init__(self, x, y, width, height):
self.x = x
self.y = y
self.width = width
self.height = height
self._x_center = x + (width / 2)
self._y_center = y + (height / 2)
@property
def x_center(self):
return int(self.x +(self.width / 2))
@property
def y_center(self):
return int(self.y +(self.height / 2))
def check_collision(self, other_rect):
if self.x + self.width in range(other_rect.x, other_rect.x + other_rect.width) and self.y + self.height in range(other_rect.y, other_rect.y + other_rect.height) or \
self.x in range(other_rect.x, other_rect.x + other_rect.width) and self.y in range(other_rect.y, other_rect.y + other_rect.height):
return True
return False | class Rect(object):
def __init__(self, x, y, width, height):
self.x = x
self.y = y
self.width = width
self.height = height
self._x_center = x + width / 2
self._y_center = y + height / 2
@property
def x_center(self):
return int(self.x + self.width / 2)
@property
def y_center(self):
return int(self.y + self.height / 2)
def check_collision(self, other_rect):
if self.x + self.width in range(other_rect.x, other_rect.x + other_rect.width) and self.y + self.height in range(other_rect.y, other_rect.y + other_rect.height) or (self.x in range(other_rect.x, other_rect.x + other_rect.width) and self.y in range(other_rect.y, other_rect.y + other_rect.height)):
return True
return False |
def binary_search(array, target_value):
left = 0
right = len(array) - 1
while left <= right:
mid = (left + right) / 2
if array[mid] == target_value:
return mid
if array[mid] > target_value:
right = mid - 1
elif array[mid] < target_value:
left = mid + 1
return right + 1 | def binary_search(array, target_value):
left = 0
right = len(array) - 1
while left <= right:
mid = (left + right) / 2
if array[mid] == target_value:
return mid
if array[mid] > target_value:
right = mid - 1
elif array[mid] < target_value:
left = mid + 1
return right + 1 |
# Datos de entrada
puntos=int(input("Puntuacion obtenida: "))
# Proceso
if puntos>0 and puntos<=100:
print("Usted obtenio 1 salario minimo.")
elif puntos>100 and puntos<=150:
print("Usted obtenio 2 salarios minimos")
elif puntos>150:
print("Usted obtenio 3 salarios minimos") | puntos = int(input('Puntuacion obtenida: '))
if puntos > 0 and puntos <= 100:
print('Usted obtenio 1 salario minimo.')
elif puntos > 100 and puntos <= 150:
print('Usted obtenio 2 salarios minimos')
elif puntos > 150:
print('Usted obtenio 3 salarios minimos') |
def report(s):
l = list(s)
l.sort()
print(l)
s = {1, 2, 3, 4}
report(s)
report(s.intersection({1, 3}))
report(s.intersection([3, 4]))
print(s.intersection_update([1]))
report(s)
| def report(s):
l = list(s)
l.sort()
print(l)
s = {1, 2, 3, 4}
report(s)
report(s.intersection({1, 3}))
report(s.intersection([3, 4]))
print(s.intersection_update([1]))
report(s) |
class RomMethod:
"""Base class for ROM methods."""
def __init__(self, sol_domain, rom_domain):
rom_dict = rom_domain.rom_dict
# Should have as many centering and normalization profiles as there are models
try:
assert len(rom_dict["cent_profs"]) == rom_domain.num_models
assert len(rom_dict["norm_fac_profs"]) == rom_domain.num_models
assert len(rom_dict["norm_sub_profs"]) == rom_domain.num_models
except AssertionError:
raise AssertionError("Feature scaling profiles must have as many files as there are models")
| class Rommethod:
"""Base class for ROM methods."""
def __init__(self, sol_domain, rom_domain):
rom_dict = rom_domain.rom_dict
try:
assert len(rom_dict['cent_profs']) == rom_domain.num_models
assert len(rom_dict['norm_fac_profs']) == rom_domain.num_models
assert len(rom_dict['norm_sub_profs']) == rom_domain.num_models
except AssertionError:
raise assertion_error('Feature scaling profiles must have as many files as there are models') |
cars = ["Ford", "Volvo", "BMW"]
for x in cars:
print(x)
| cars = ['Ford', 'Volvo', 'BMW']
for x in cars:
print(x) |
# Code for Vegeneres Cipher
# List of all the Alphabets using List Comprehension
lst = [chr(x) for x in range(65, 91)]
# Creating Vegeneres Table using for loops
# # 2D List to Store the Vegeneres Table
# arr = []
# for i in range(0, 26):
# # List to store rows Alphabets respective to their Index
# temp = []
# c = i
# for j in range(0, 26):
# # Appending the Alphabets in the temporary list(row)
# temp.append(lst[c % 26])
# c += 1
# # now Appending the row in the 2D list
# arr.append(temp)
# Provide Options
print("Welcome to Ph@ntom's Cipher :::")
print("1 >>> Encrypt")
print("2 >>> Decrypt")
# Input the Plain Text and the Corresponding Key
ch = int(input('>>>'))
if ch == 1:
print("Enter the Text to be Encrypted")
# Taking the input and converting into UpperCase
str = input('-->>>').upper()
print("Enter the Key")
# Taking the Key in UpperCase and Converting it into a List
Key = list(input("should contain NO Spaces >>>").upper())
# Length of the Key
l = len(Key)
# Removing any Spaces Available in the Plain Text
# Plain = list("".join(str.split()))
# List Containing the Cipher Text
Cipher = []
for i in range(len(str)):
if str[i] != ' ':
k = lst.index(Key[i % l])
m = lst.index(str[i])
Cipher.append(lst[(m + k) % 26])
else:
Cipher.append(' ')
# Print out the Cipher Text
print("The Encrypted Text is :::")
print("".join(Cipher))
elif ch == 2:
print("Enter the Text to be Derypted")
# Taking the input and converting into UpperCase
str = input('-->>>').upper()
print("Enter the Key")
# Taking the Key in UpperCase and Converting it into a List
Key = list(input("should contain NO Spaces >>>").upper())
# Length of the Key
l = len(Key)
# Removing any Spaces Available in the Encrypted Text
# Cipher = list("".join(str.split()))
# List Containing the Decrypted Text
Decipher = []
for i in range(len(str)):
if str[i] != ' ':
k = lst.index(Key[i % l])
m = lst.index(str[i])
Decipher.append(lst[(m - k) % 26])
else:
Decipher.append(' ')
# Print out the Decrypted Text
print("The Decrypted Text is :::")
print("".join(Decipher))
| lst = [chr(x) for x in range(65, 91)]
print("Welcome to Ph@ntom's Cipher :::")
print('1 >>> Encrypt')
print('2 >>> Decrypt')
ch = int(input('>>>'))
if ch == 1:
print('Enter the Text to be Encrypted')
str = input('-->>>').upper()
print('Enter the Key')
key = list(input('should contain NO Spaces >>>').upper())
l = len(Key)
cipher = []
for i in range(len(str)):
if str[i] != ' ':
k = lst.index(Key[i % l])
m = lst.index(str[i])
Cipher.append(lst[(m + k) % 26])
else:
Cipher.append(' ')
print('The Encrypted Text is :::')
print(''.join(Cipher))
elif ch == 2:
print('Enter the Text to be Derypted')
str = input('-->>>').upper()
print('Enter the Key')
key = list(input('should contain NO Spaces >>>').upper())
l = len(Key)
decipher = []
for i in range(len(str)):
if str[i] != ' ':
k = lst.index(Key[i % l])
m = lst.index(str[i])
Decipher.append(lst[(m - k) % 26])
else:
Decipher.append(' ')
print('The Decrypted Text is :::')
print(''.join(Decipher)) |
class BatteryChargeStatus(Enum,IComparable,IFormattable,IConvertible):
"""
Defines identifiers that indicate the current battery charge level or charging state information.
enum (flags) BatteryChargeStatus,values: Charging (8),Critical (4),High (1),Low (2),NoSystemBattery (128),Unknown (255)
"""
def __eq__(self,*args):
""" x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """
pass
def __format__(self,*args):
""" __format__(formattable: IFormattable,format: str) -> str """
pass
def __ge__(self,*args):
pass
def __gt__(self,*args):
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __le__(self,*args):
pass
def __lt__(self,*args):
pass
def __ne__(self,*args):
pass
def __reduce_ex__(self,*args):
pass
def __str__(self,*args):
pass
Charging=None
Critical=None
High=None
Low=None
NoSystemBattery=None
Unknown=None
value__=None
| class Batterychargestatus(Enum, IComparable, IFormattable, IConvertible):
"""
Defines identifiers that indicate the current battery charge level or charging state information.
enum (flags) BatteryChargeStatus,values: Charging (8),Critical (4),High (1),Low (2),NoSystemBattery (128),Unknown (255)
"""
def __eq__(self, *args):
""" x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """
pass
def __format__(self, *args):
""" __format__(formattable: IFormattable,format: str) -> str """
pass
def __ge__(self, *args):
pass
def __gt__(self, *args):
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __le__(self, *args):
pass
def __lt__(self, *args):
pass
def __ne__(self, *args):
pass
def __reduce_ex__(self, *args):
pass
def __str__(self, *args):
pass
charging = None
critical = None
high = None
low = None
no_system_battery = None
unknown = None
value__ = None |
{
"targets": [
{
"target_name": "node_statvfs",
"sources": [
"main.cpp"
],
"cflags!": [
"-fno-exceptions"
],
"cflags_cc!": [
"-fno-exceptions"
],
"cflags+": [
"-fvisibility=hidden"
],
"include_dirs": [
"<!(node -p \"require('node-addon-api').include_dir\")"
],
"defines": [
"NODE_ADDON_API_DISABLE_DEPRECATED",
"NAPI_VERSION=<(napi_build_version)"
]
}
]
}
| {'targets': [{'target_name': 'node_statvfs', 'sources': ['main.cpp'], 'cflags!': ['-fno-exceptions'], 'cflags_cc!': ['-fno-exceptions'], 'cflags+': ['-fvisibility=hidden'], 'include_dirs': ['<!(node -p "require(\'node-addon-api\').include_dir")'], 'defines': ['NODE_ADDON_API_DISABLE_DEPRECATED', 'NAPI_VERSION=<(napi_build_version)']}]} |
# Smallest multiple
# Problem 5
# 2520 is the smallest number that can be divided by each of the numbers from 1 to 10 without any remainder.
# What is the smallest positive number that is evenly divisible by all of the numbers from 1 to 20?
def modular_sum(count, limit):
minimum = int(limit / 2) + 1
mods = list(range(minimum, limit)) # 11-19
s = 0
for n in mods:
s = s + count % n
return s
def solution(limit):
found = False
count = 0
while not found:
count = count + limit
if modular_sum(count, limit) == 0:
found = True
return count
def main():
ans = solution(10)
print(ans)
if __name__ == '__main__':
main()
| def modular_sum(count, limit):
minimum = int(limit / 2) + 1
mods = list(range(minimum, limit))
s = 0
for n in mods:
s = s + count % n
return s
def solution(limit):
found = False
count = 0
while not found:
count = count + limit
if modular_sum(count, limit) == 0:
found = True
return count
def main():
ans = solution(10)
print(ans)
if __name__ == '__main__':
main() |
# constants
db_name = "cryptodb"
salt = b'\x04\xa8y#AN\xba\xb0u\x0c\xd2\xbd"\x002pFWFEQvba[e021efg@fsa'
BS = 32
| db_name = 'cryptodb'
salt = b'\x04\xa8y#AN\xba\xb0u\x0c\xd2\xbd"\x002pFWFEQvba[e021efg@fsa'
bs = 32 |
"""
PASSENGERS
"""
numPassengers = 4053
passenger_arriving = (
(5, 14, 9, 5, 2, 0, 9, 8, 8, 10, 0, 0), # 0
(5, 9, 6, 3, 1, 0, 0, 12, 5, 11, 4, 0), # 1
(5, 8, 9, 2, 2, 0, 6, 9, 5, 4, 3, 0), # 2
(7, 9, 13, 3, 3, 0, 7, 14, 5, 9, 2, 0), # 3
(4, 14, 11, 4, 0, 0, 4, 9, 9, 12, 4, 0), # 4
(3, 9, 9, 9, 3, 0, 10, 11, 5, 5, 2, 0), # 5
(9, 8, 10, 2, 0, 0, 8, 9, 4, 5, 1, 0), # 6
(5, 11, 5, 2, 3, 0, 6, 9, 9, 3, 1, 0), # 7
(2, 8, 5, 6, 1, 0, 7, 19, 6, 2, 4, 0), # 8
(6, 15, 6, 2, 8, 0, 10, 8, 7, 5, 3, 0), # 9
(5, 6, 10, 3, 2, 0, 7, 10, 8, 8, 4, 0), # 10
(5, 11, 8, 5, 0, 0, 8, 6, 3, 7, 0, 0), # 11
(2, 12, 14, 4, 4, 0, 6, 7, 3, 9, 4, 0), # 12
(4, 12, 7, 6, 5, 0, 15, 15, 4, 2, 5, 0), # 13
(3, 12, 7, 6, 5, 0, 8, 12, 5, 9, 4, 0), # 14
(4, 17, 10, 1, 5, 0, 11, 9, 9, 9, 3, 0), # 15
(8, 12, 7, 4, 2, 0, 6, 14, 5, 7, 6, 0), # 16
(7, 10, 10, 3, 2, 0, 9, 18, 8, 7, 4, 0), # 17
(3, 6, 11, 3, 7, 0, 9, 12, 6, 4, 0, 0), # 18
(9, 15, 12, 8, 2, 0, 13, 16, 7, 10, 3, 0), # 19
(4, 18, 6, 9, 5, 0, 13, 6, 6, 7, 3, 0), # 20
(6, 12, 7, 4, 3, 0, 5, 7, 8, 5, 4, 0), # 21
(11, 7, 11, 8, 5, 0, 13, 8, 12, 4, 2, 0), # 22
(7, 15, 13, 2, 1, 0, 7, 9, 6, 10, 4, 0), # 23
(8, 8, 9, 4, 3, 0, 7, 13, 9, 5, 1, 0), # 24
(5, 18, 10, 5, 4, 0, 8, 14, 8, 9, 0, 0), # 25
(2, 12, 10, 4, 2, 0, 15, 13, 9, 11, 1, 0), # 26
(5, 7, 11, 7, 0, 0, 8, 10, 8, 3, 1, 0), # 27
(6, 15, 16, 2, 3, 0, 5, 10, 7, 8, 1, 0), # 28
(6, 8, 8, 4, 1, 0, 7, 7, 2, 7, 4, 0), # 29
(4, 13, 12, 4, 1, 0, 6, 15, 9, 9, 3, 0), # 30
(6, 11, 11, 4, 2, 0, 8, 17, 11, 6, 3, 0), # 31
(4, 19, 5, 7, 2, 0, 4, 17, 6, 6, 1, 0), # 32
(3, 15, 9, 6, 3, 0, 6, 14, 6, 3, 5, 0), # 33
(6, 11, 6, 6, 0, 0, 11, 11, 7, 8, 4, 0), # 34
(7, 8, 4, 4, 6, 0, 8, 11, 6, 4, 3, 0), # 35
(4, 10, 15, 3, 3, 0, 6, 8, 7, 5, 3, 0), # 36
(2, 8, 1, 10, 3, 0, 10, 13, 3, 2, 2, 0), # 37
(5, 10, 9, 4, 3, 0, 9, 7, 6, 9, 1, 0), # 38
(5, 12, 5, 5, 0, 0, 8, 8, 12, 3, 5, 0), # 39
(4, 10, 14, 5, 2, 0, 8, 11, 8, 2, 5, 0), # 40
(5, 13, 9, 3, 1, 0, 5, 9, 7, 6, 3, 0), # 41
(7, 12, 8, 8, 3, 0, 9, 13, 9, 10, 2, 0), # 42
(9, 13, 10, 9, 0, 0, 7, 12, 7, 7, 1, 0), # 43
(1, 16, 13, 5, 2, 0, 10, 14, 10, 5, 2, 0), # 44
(6, 14, 14, 7, 2, 0, 9, 14, 6, 6, 5, 0), # 45
(4, 18, 8, 8, 2, 0, 17, 12, 9, 10, 3, 0), # 46
(10, 12, 6, 2, 3, 0, 9, 8, 5, 4, 7, 0), # 47
(4, 11, 4, 9, 1, 0, 8, 14, 7, 10, 0, 0), # 48
(6, 13, 7, 4, 3, 0, 8, 9, 6, 3, 4, 0), # 49
(9, 14, 8, 6, 4, 0, 7, 6, 6, 3, 3, 0), # 50
(3, 11, 8, 6, 3, 0, 9, 13, 5, 7, 2, 0), # 51
(6, 12, 11, 2, 2, 0, 3, 10, 6, 10, 3, 0), # 52
(9, 16, 9, 5, 1, 0, 5, 11, 13, 5, 2, 0), # 53
(6, 14, 13, 3, 3, 0, 5, 10, 10, 8, 4, 0), # 54
(2, 13, 6, 3, 4, 0, 7, 7, 7, 6, 1, 0), # 55
(4, 14, 8, 6, 1, 0, 6, 14, 8, 6, 3, 0), # 56
(5, 9, 7, 3, 3, 0, 6, 12, 7, 9, 2, 0), # 57
(3, 9, 9, 4, 4, 0, 5, 14, 7, 5, 3, 0), # 58
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 59
)
station_arriving_intensity = (
(4.769372805092186, 12.233629261363635, 14.389624839331619, 11.405298913043477, 12.857451923076923, 8.562228260869567), # 0
(4.81413961808604, 12.369674877683082, 14.46734796754499, 11.46881589673913, 12.953819711538461, 8.559309850543478), # 1
(4.8583952589991215, 12.503702525252525, 14.54322622107969, 11.530934782608696, 13.048153846153847, 8.556302173913043), # 2
(4.902102161984196, 12.635567578125, 14.617204169344474, 11.591602581521737, 13.14036778846154, 8.553205638586958), # 3
(4.94522276119403, 12.765125410353535, 14.689226381748071, 11.650766304347826, 13.230375, 8.550020652173911), # 4
(4.987719490781387, 12.892231395991162, 14.759237427699228, 11.708372961956522, 13.318088942307691, 8.546747622282608), # 5
(5.029554784899035, 13.01674090909091, 14.827181876606687, 11.764369565217393, 13.403423076923078, 8.54338695652174), # 6
(5.0706910776997365, 13.138509323705808, 14.893004297879177, 11.818703125, 13.486290865384618, 8.5399390625), # 7
(5.1110908033362605, 13.257392013888888, 14.956649260925452, 11.871320652173912, 13.56660576923077, 8.536404347826087), # 8
(5.1507163959613695, 13.373244353693181, 15.018061335154243, 11.922169157608696, 13.644281249999999, 8.532783220108696), # 9
(5.1895302897278315, 13.485921717171717, 15.077185089974291, 11.971195652173915, 13.719230769230771, 8.529076086956522), # 10
(5.227494918788412, 13.595279478377526, 15.133965094794343, 12.018347146739131, 13.791367788461539, 8.525283355978262), # 11
(5.2645727172958745, 13.701173011363636, 15.188345919023137, 12.063570652173912, 13.860605769230768, 8.521405434782608), # 12
(5.3007261194029835, 13.803457690183082, 15.240272132069407, 12.106813179347826, 13.926858173076925, 8.51744273097826), # 13
(5.335917559262511, 13.90198888888889, 15.289688303341899, 12.148021739130433, 13.99003846153846, 8.513395652173912), # 14
(5.370109471027217, 13.996621981534089, 15.336539002249355, 12.187143342391304, 14.050060096153846, 8.509264605978261), # 15
(5.403264288849868, 14.087212342171718, 15.380768798200515, 12.224124999999999, 14.10683653846154, 8.50505), # 16
(5.4353444468832315, 14.173615344854797, 15.422322260604112, 12.258913722826087, 14.16028125, 8.500752241847827), # 17
(5.46631237928007, 14.255686363636363, 15.461143958868895, 12.291456521739132, 14.210307692307696, 8.496371739130435), # 18
(5.496130520193152, 14.333280772569443, 15.4971784624036, 12.321700407608695, 14.256829326923079, 8.491908899456522), # 19
(5.524761303775241, 14.40625394570707, 15.530370340616965, 12.349592391304348, 14.299759615384616, 8.487364130434782), # 20
(5.552167164179106, 14.47446125710227, 15.56066416291774, 12.375079483695652, 14.339012019230768, 8.482737839673913), # 21
(5.578310535557506, 14.537758080808082, 15.588004498714653, 12.398108695652175, 14.374499999999998, 8.47803043478261), # 22
(5.603153852063214, 14.595999790877526, 15.612335917416454, 12.418627038043478, 14.40613701923077, 8.473242323369567), # 23
(5.62665954784899, 14.649041761363636, 15.633602988431875, 12.43658152173913, 14.433836538461538, 8.468373913043479), # 24
(5.648790057067603, 14.696739366319445, 15.651750281169667, 12.451919157608696, 14.457512019230768, 8.463425611413044), # 25
(5.669507813871817, 14.738947979797977, 15.66672236503856, 12.464586956521739, 14.477076923076922, 8.458397826086957), # 26
(5.688775252414398, 14.77552297585227, 15.6784638094473, 12.474531929347828, 14.492444711538463, 8.453290964673915), # 27
(5.7065548068481124, 14.806319728535353, 15.68691918380463, 12.481701086956523, 14.503528846153845, 8.448105434782608), # 28
(5.722808911325724, 14.831193611900254, 15.69203305751928, 12.486041440217392, 14.510242788461538, 8.44284164402174), # 29
(5.7375, 14.85, 15.69375, 12.4875, 14.512500000000001, 8.4375), # 30
(5.751246651214834, 14.865621839488634, 15.692462907608693, 12.487236580882353, 14.511678590425532, 8.430077267616193), # 31
(5.7646965153452685, 14.881037215909092, 15.68863804347826, 12.486451470588234, 14.509231914893617, 8.418644565217393), # 32
(5.777855634590792, 14.896244211647728, 15.682330027173915, 12.485152389705883, 14.50518630319149, 8.403313830584706), # 33
(5.790730051150895, 14.91124090909091, 15.67359347826087, 12.483347058823531, 14.499568085106382, 8.38419700149925), # 34
(5.803325807225064, 14.926025390624996, 15.662483016304348, 12.481043198529411, 14.492403590425532, 8.361406015742128), # 35
(5.815648945012788, 14.940595738636366, 15.649053260869564, 12.478248529411767, 14.48371914893617, 8.335052811094453), # 36
(5.8277055067135555, 14.954950035511365, 15.63335883152174, 12.474970772058823, 14.47354109042553, 8.305249325337332), # 37
(5.839501534526853, 14.969086363636364, 15.615454347826088, 12.471217647058824, 14.461895744680852, 8.272107496251873), # 38
(5.851043070652174, 14.983002805397728, 15.595394429347825, 12.466996875000001, 14.44880944148936, 8.23573926161919), # 39
(5.862336157289003, 14.99669744318182, 15.573233695652176, 12.462316176470589, 14.434308510638296, 8.196256559220389), # 40
(5.873386836636828, 15.010168359374997, 15.549026766304348, 12.457183272058824, 14.418419281914893, 8.153771326836583), # 41
(5.88420115089514, 15.023413636363639, 15.522828260869566, 12.451605882352942, 14.401168085106384, 8.108395502248875), # 42
(5.894785142263428, 15.03643135653409, 15.494692798913043, 12.445591727941178, 14.38258125, 8.060241023238381), # 43
(5.905144852941176, 15.049219602272727, 15.464675, 12.439148529411764, 14.36268510638298, 8.009419827586207), # 44
(5.915286325127877, 15.061776455965909, 15.432829483695656, 12.43228400735294, 14.341505984042554, 7.956043853073464), # 45
(5.925215601023019, 15.074100000000003, 15.39921086956522, 12.425005882352941, 14.319070212765958, 7.90022503748126), # 46
(5.934938722826087, 15.086188316761364, 15.363873777173913, 12.417321874999999, 14.295404122340427, 7.842075318590705), # 47
(5.944461732736574, 15.098039488636365, 15.326872826086957, 12.409239705882353, 14.27053404255319, 7.7817066341829095), # 48
(5.953790672953963, 15.10965159801136, 15.288262635869566, 12.400767095588236, 14.24448630319149, 7.71923092203898), # 49
(5.96293158567775, 15.121022727272724, 15.248097826086958, 12.391911764705883, 14.217287234042553, 7.65476011994003), # 50
(5.971890513107417, 15.132150958806818, 15.206433016304347, 12.38268143382353, 14.188963164893616, 7.588406165667167), # 51
(5.980673497442456, 15.143034375, 15.163322826086954, 12.373083823529411, 14.159540425531915, 7.5202809970015), # 52
(5.989286580882353, 15.153671058238638, 15.118821875, 12.363126654411765, 14.129045345744682, 7.450496551724138), # 53
(5.9977358056266, 15.164059090909088, 15.072984782608694, 12.352817647058824, 14.09750425531915, 7.379164767616192), # 54
(6.00602721387468, 15.174196555397728, 15.02586616847826, 12.342164522058825, 14.064943484042553, 7.306397582458771), # 55
(6.014166847826087, 15.184081534090907, 14.977520652173913, 12.331175, 14.031389361702129, 7.232306934032984), # 56
(6.022160749680308, 15.193712109375003, 14.92800285326087, 12.319856801470587, 13.996868218085105, 7.15700476011994), # 57
(6.030014961636829, 15.203086363636363, 14.877367391304347, 12.308217647058825, 13.961406382978723, 7.0806029985007495), # 58
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 59
)
passenger_arriving_acc = (
(5, 14, 9, 5, 2, 0, 9, 8, 8, 10, 0, 0), # 0
(10, 23, 15, 8, 3, 0, 9, 20, 13, 21, 4, 0), # 1
(15, 31, 24, 10, 5, 0, 15, 29, 18, 25, 7, 0), # 2
(22, 40, 37, 13, 8, 0, 22, 43, 23, 34, 9, 0), # 3
(26, 54, 48, 17, 8, 0, 26, 52, 32, 46, 13, 0), # 4
(29, 63, 57, 26, 11, 0, 36, 63, 37, 51, 15, 0), # 5
(38, 71, 67, 28, 11, 0, 44, 72, 41, 56, 16, 0), # 6
(43, 82, 72, 30, 14, 0, 50, 81, 50, 59, 17, 0), # 7
(45, 90, 77, 36, 15, 0, 57, 100, 56, 61, 21, 0), # 8
(51, 105, 83, 38, 23, 0, 67, 108, 63, 66, 24, 0), # 9
(56, 111, 93, 41, 25, 0, 74, 118, 71, 74, 28, 0), # 10
(61, 122, 101, 46, 25, 0, 82, 124, 74, 81, 28, 0), # 11
(63, 134, 115, 50, 29, 0, 88, 131, 77, 90, 32, 0), # 12
(67, 146, 122, 56, 34, 0, 103, 146, 81, 92, 37, 0), # 13
(70, 158, 129, 62, 39, 0, 111, 158, 86, 101, 41, 0), # 14
(74, 175, 139, 63, 44, 0, 122, 167, 95, 110, 44, 0), # 15
(82, 187, 146, 67, 46, 0, 128, 181, 100, 117, 50, 0), # 16
(89, 197, 156, 70, 48, 0, 137, 199, 108, 124, 54, 0), # 17
(92, 203, 167, 73, 55, 0, 146, 211, 114, 128, 54, 0), # 18
(101, 218, 179, 81, 57, 0, 159, 227, 121, 138, 57, 0), # 19
(105, 236, 185, 90, 62, 0, 172, 233, 127, 145, 60, 0), # 20
(111, 248, 192, 94, 65, 0, 177, 240, 135, 150, 64, 0), # 21
(122, 255, 203, 102, 70, 0, 190, 248, 147, 154, 66, 0), # 22
(129, 270, 216, 104, 71, 0, 197, 257, 153, 164, 70, 0), # 23
(137, 278, 225, 108, 74, 0, 204, 270, 162, 169, 71, 0), # 24
(142, 296, 235, 113, 78, 0, 212, 284, 170, 178, 71, 0), # 25
(144, 308, 245, 117, 80, 0, 227, 297, 179, 189, 72, 0), # 26
(149, 315, 256, 124, 80, 0, 235, 307, 187, 192, 73, 0), # 27
(155, 330, 272, 126, 83, 0, 240, 317, 194, 200, 74, 0), # 28
(161, 338, 280, 130, 84, 0, 247, 324, 196, 207, 78, 0), # 29
(165, 351, 292, 134, 85, 0, 253, 339, 205, 216, 81, 0), # 30
(171, 362, 303, 138, 87, 0, 261, 356, 216, 222, 84, 0), # 31
(175, 381, 308, 145, 89, 0, 265, 373, 222, 228, 85, 0), # 32
(178, 396, 317, 151, 92, 0, 271, 387, 228, 231, 90, 0), # 33
(184, 407, 323, 157, 92, 0, 282, 398, 235, 239, 94, 0), # 34
(191, 415, 327, 161, 98, 0, 290, 409, 241, 243, 97, 0), # 35
(195, 425, 342, 164, 101, 0, 296, 417, 248, 248, 100, 0), # 36
(197, 433, 343, 174, 104, 0, 306, 430, 251, 250, 102, 0), # 37
(202, 443, 352, 178, 107, 0, 315, 437, 257, 259, 103, 0), # 38
(207, 455, 357, 183, 107, 0, 323, 445, 269, 262, 108, 0), # 39
(211, 465, 371, 188, 109, 0, 331, 456, 277, 264, 113, 0), # 40
(216, 478, 380, 191, 110, 0, 336, 465, 284, 270, 116, 0), # 41
(223, 490, 388, 199, 113, 0, 345, 478, 293, 280, 118, 0), # 42
(232, 503, 398, 208, 113, 0, 352, 490, 300, 287, 119, 0), # 43
(233, 519, 411, 213, 115, 0, 362, 504, 310, 292, 121, 0), # 44
(239, 533, 425, 220, 117, 0, 371, 518, 316, 298, 126, 0), # 45
(243, 551, 433, 228, 119, 0, 388, 530, 325, 308, 129, 0), # 46
(253, 563, 439, 230, 122, 0, 397, 538, 330, 312, 136, 0), # 47
(257, 574, 443, 239, 123, 0, 405, 552, 337, 322, 136, 0), # 48
(263, 587, 450, 243, 126, 0, 413, 561, 343, 325, 140, 0), # 49
(272, 601, 458, 249, 130, 0, 420, 567, 349, 328, 143, 0), # 50
(275, 612, 466, 255, 133, 0, 429, 580, 354, 335, 145, 0), # 51
(281, 624, 477, 257, 135, 0, 432, 590, 360, 345, 148, 0), # 52
(290, 640, 486, 262, 136, 0, 437, 601, 373, 350, 150, 0), # 53
(296, 654, 499, 265, 139, 0, 442, 611, 383, 358, 154, 0), # 54
(298, 667, 505, 268, 143, 0, 449, 618, 390, 364, 155, 0), # 55
(302, 681, 513, 274, 144, 0, 455, 632, 398, 370, 158, 0), # 56
(307, 690, 520, 277, 147, 0, 461, 644, 405, 379, 160, 0), # 57
(310, 699, 529, 281, 151, 0, 466, 658, 412, 384, 163, 0), # 58
(310, 699, 529, 281, 151, 0, 466, 658, 412, 384, 163, 0), # 59
)
passenger_arriving_rate = (
(4.769372805092186, 9.786903409090908, 8.63377490359897, 4.56211956521739, 2.5714903846153843, 0.0, 8.562228260869567, 10.285961538461537, 6.843179347826086, 5.755849935732647, 2.446725852272727, 0.0), # 0
(4.81413961808604, 9.895739902146465, 8.680408780526994, 4.587526358695651, 2.5907639423076922, 0.0, 8.559309850543478, 10.363055769230769, 6.881289538043478, 5.786939187017995, 2.4739349755366162, 0.0), # 1
(4.8583952589991215, 10.00296202020202, 8.725935732647814, 4.612373913043478, 2.609630769230769, 0.0, 8.556302173913043, 10.438523076923076, 6.918560869565217, 5.817290488431875, 2.500740505050505, 0.0), # 2
(4.902102161984196, 10.1084540625, 8.770322501606683, 4.636641032608694, 2.628073557692308, 0.0, 8.553205638586958, 10.512294230769232, 6.954961548913042, 5.846881667737789, 2.527113515625, 0.0), # 3
(4.94522276119403, 10.212100328282828, 8.813535829048842, 4.66030652173913, 2.6460749999999997, 0.0, 8.550020652173911, 10.584299999999999, 6.990459782608696, 5.875690552699228, 2.553025082070707, 0.0), # 4
(4.987719490781387, 10.313785116792928, 8.855542456619537, 4.6833491847826085, 2.663617788461538, 0.0, 8.546747622282608, 10.654471153846153, 7.025023777173913, 5.90369497107969, 2.578446279198232, 0.0), # 5
(5.029554784899035, 10.413392727272727, 8.896309125964011, 4.705747826086957, 2.680684615384615, 0.0, 8.54338695652174, 10.72273846153846, 7.058621739130436, 5.930872750642674, 2.603348181818182, 0.0), # 6
(5.0706910776997365, 10.510807458964646, 8.935802578727506, 4.72748125, 2.697258173076923, 0.0, 8.5399390625, 10.789032692307693, 7.0912218750000005, 5.95720171915167, 2.6277018647411614, 0.0), # 7
(5.1110908033362605, 10.60591361111111, 8.97398955655527, 4.7485282608695645, 2.7133211538461537, 0.0, 8.536404347826087, 10.853284615384615, 7.122792391304347, 5.982659704370181, 2.6514784027777774, 0.0), # 8
(5.1507163959613695, 10.698595482954543, 9.010836801092546, 4.768867663043478, 2.7288562499999993, 0.0, 8.532783220108696, 10.915424999999997, 7.153301494565217, 6.007224534061697, 2.6746488707386358, 0.0), # 9
(5.1895302897278315, 10.788737373737373, 9.046311053984574, 4.7884782608695655, 2.743846153846154, 0.0, 8.529076086956522, 10.975384615384616, 7.182717391304348, 6.030874035989716, 2.697184343434343, 0.0), # 10
(5.227494918788412, 10.87622358270202, 9.080379056876605, 4.807338858695652, 2.7582735576923074, 0.0, 8.525283355978262, 11.03309423076923, 7.2110082880434785, 6.053586037917737, 2.719055895675505, 0.0), # 11
(5.2645727172958745, 10.960938409090907, 9.113007551413881, 4.825428260869565, 2.7721211538461534, 0.0, 8.521405434782608, 11.088484615384614, 7.238142391304347, 6.0753383676092545, 2.740234602272727, 0.0), # 12
(5.3007261194029835, 11.042766152146465, 9.144163279241644, 4.8427252717391305, 2.7853716346153847, 0.0, 8.51744273097826, 11.141486538461539, 7.264087907608696, 6.096108852827762, 2.760691538036616, 0.0), # 13
(5.335917559262511, 11.121591111111112, 9.173812982005138, 4.859208695652173, 2.7980076923076918, 0.0, 8.513395652173912, 11.192030769230767, 7.288813043478259, 6.115875321336759, 2.780397777777778, 0.0), # 14
(5.370109471027217, 11.19729758522727, 9.201923401349612, 4.874857336956521, 2.810012019230769, 0.0, 8.509264605978261, 11.240048076923076, 7.312286005434782, 6.134615600899742, 2.7993243963068175, 0.0), # 15
(5.403264288849868, 11.269769873737372, 9.228461278920308, 4.88965, 2.8213673076923076, 0.0, 8.50505, 11.28546923076923, 7.334474999999999, 6.152307519280206, 2.817442468434343, 0.0), # 16
(5.4353444468832315, 11.338892275883836, 9.253393356362468, 4.903565489130434, 2.83205625, 0.0, 8.500752241847827, 11.328225, 7.3553482336956515, 6.168928904241644, 2.834723068970959, 0.0), # 17
(5.46631237928007, 11.40454909090909, 9.276686375321336, 4.916582608695652, 2.842061538461539, 0.0, 8.496371739130435, 11.368246153846156, 7.374873913043479, 6.184457583547558, 2.8511372727272724, 0.0), # 18
(5.496130520193152, 11.466624618055553, 9.298307077442159, 4.928680163043477, 2.8513658653846155, 0.0, 8.491908899456522, 11.405463461538462, 7.393020244565217, 6.198871384961439, 2.866656154513888, 0.0), # 19
(5.524761303775241, 11.525003156565655, 9.318222204370178, 4.939836956521739, 2.859951923076923, 0.0, 8.487364130434782, 11.439807692307692, 7.409755434782609, 6.212148136246785, 2.8812507891414136, 0.0), # 20
(5.552167164179106, 11.579569005681815, 9.336398497750643, 4.95003179347826, 2.8678024038461536, 0.0, 8.482737839673913, 11.471209615384614, 7.425047690217391, 6.224265665167096, 2.894892251420454, 0.0), # 21
(5.578310535557506, 11.630206464646465, 9.352802699228791, 4.95924347826087, 2.8748999999999993, 0.0, 8.47803043478261, 11.499599999999997, 7.438865217391305, 6.235201799485861, 2.907551616161616, 0.0), # 22
(5.603153852063214, 11.67679983270202, 9.367401550449872, 4.967450815217391, 2.8812274038461534, 0.0, 8.473242323369567, 11.524909615384614, 7.451176222826087, 6.244934366966581, 2.919199958175505, 0.0), # 23
(5.62665954784899, 11.719233409090908, 9.380161793059125, 4.974632608695652, 2.8867673076923075, 0.0, 8.468373913043479, 11.54706923076923, 7.461948913043478, 6.25344119537275, 2.929808352272727, 0.0), # 24
(5.648790057067603, 11.757391493055556, 9.391050168701799, 4.980767663043478, 2.8915024038461534, 0.0, 8.463425611413044, 11.566009615384614, 7.471151494565217, 6.260700112467866, 2.939347873263889, 0.0), # 25
(5.669507813871817, 11.79115838383838, 9.400033419023135, 4.985834782608695, 2.8954153846153843, 0.0, 8.458397826086957, 11.581661538461537, 7.478752173913043, 6.266688946015424, 2.947789595959595, 0.0), # 26
(5.688775252414398, 11.820418380681815, 9.40707828566838, 4.989812771739131, 2.8984889423076923, 0.0, 8.453290964673915, 11.593955769230769, 7.484719157608696, 6.271385523778919, 2.9551045951704538, 0.0), # 27
(5.7065548068481124, 11.84505578282828, 9.412151510282778, 4.992680434782609, 2.9007057692307687, 0.0, 8.448105434782608, 11.602823076923075, 7.489020652173913, 6.274767673521851, 2.96126394570707, 0.0), # 28
(5.722808911325724, 11.864954889520202, 9.415219834511568, 4.994416576086956, 2.902048557692307, 0.0, 8.44284164402174, 11.608194230769229, 7.491624864130435, 6.276813223007712, 2.9662387223800506, 0.0), # 29
(5.7375, 11.879999999999999, 9.41625, 4.995, 2.9025, 0.0, 8.4375, 11.61, 7.4925, 6.277499999999999, 2.9699999999999998, 0.0), # 30
(5.751246651214834, 11.892497471590906, 9.415477744565216, 4.994894632352941, 2.9023357180851064, 0.0, 8.430077267616193, 11.609342872340426, 7.492341948529411, 6.276985163043476, 2.9731243678977264, 0.0), # 31
(5.7646965153452685, 11.904829772727274, 9.413182826086956, 4.994580588235293, 2.901846382978723, 0.0, 8.418644565217393, 11.607385531914892, 7.49187088235294, 6.275455217391303, 2.9762074431818184, 0.0), # 32
(5.777855634590792, 11.916995369318181, 9.40939801630435, 4.994060955882353, 2.9010372606382977, 0.0, 8.403313830584706, 11.60414904255319, 7.491091433823529, 6.272932010869566, 2.9792488423295453, 0.0), # 33
(5.790730051150895, 11.928992727272727, 9.40415608695652, 4.993338823529412, 2.899913617021276, 0.0, 8.38419700149925, 11.599654468085104, 7.490008235294118, 6.269437391304347, 2.9822481818181816, 0.0), # 34
(5.803325807225064, 11.940820312499996, 9.39748980978261, 4.9924172794117645, 2.898480718085106, 0.0, 8.361406015742128, 11.593922872340425, 7.488625919117647, 6.264993206521739, 2.985205078124999, 0.0), # 35
(5.815648945012788, 11.952476590909091, 9.389431956521738, 4.9912994117647065, 2.896743829787234, 0.0, 8.335052811094453, 11.586975319148936, 7.486949117647059, 6.259621304347825, 2.988119147727273, 0.0), # 36
(5.8277055067135555, 11.96396002840909, 9.380015298913044, 4.989988308823529, 2.8947082180851056, 0.0, 8.305249325337332, 11.578832872340422, 7.484982463235293, 6.253343532608695, 2.9909900071022726, 0.0), # 37
(5.839501534526853, 11.97526909090909, 9.369272608695653, 4.988487058823529, 2.89237914893617, 0.0, 8.272107496251873, 11.56951659574468, 7.4827305882352935, 6.246181739130434, 2.9938172727272727, 0.0), # 38
(5.851043070652174, 11.986402244318182, 9.357236657608695, 4.98679875, 2.8897618882978717, 0.0, 8.23573926161919, 11.559047553191487, 7.480198125, 6.23815777173913, 2.9966005610795454, 0.0), # 39
(5.862336157289003, 11.997357954545455, 9.343940217391305, 4.984926470588235, 2.886861702127659, 0.0, 8.196256559220389, 11.547446808510635, 7.477389705882353, 6.22929347826087, 2.999339488636364, 0.0), # 40
(5.873386836636828, 12.008134687499997, 9.329416059782607, 4.982873308823529, 2.8836838563829783, 0.0, 8.153771326836583, 11.534735425531913, 7.474309963235294, 6.219610706521738, 3.002033671874999, 0.0), # 41
(5.88420115089514, 12.01873090909091, 9.31369695652174, 4.980642352941176, 2.880233617021277, 0.0, 8.108395502248875, 11.520934468085107, 7.4709635294117644, 6.209131304347826, 3.0046827272727277, 0.0), # 42
(5.894785142263428, 12.02914508522727, 9.296815679347825, 4.978236691176471, 2.8765162499999994, 0.0, 8.060241023238381, 11.506064999999998, 7.467355036764706, 6.1978771195652165, 3.0072862713068176, 0.0), # 43
(5.905144852941176, 12.03937568181818, 9.278805, 4.975659411764705, 2.8725370212765955, 0.0, 8.009419827586207, 11.490148085106382, 7.4634891176470575, 6.1858699999999995, 3.009843920454545, 0.0), # 44
(5.915286325127877, 12.049421164772726, 9.259697690217394, 4.972913602941176, 2.8683011968085106, 0.0, 7.956043853073464, 11.473204787234042, 7.459370404411764, 6.1731317934782615, 3.0123552911931815, 0.0), # 45
(5.925215601023019, 12.059280000000001, 9.239526521739132, 4.970002352941176, 2.8638140425531913, 0.0, 7.90022503748126, 11.455256170212765, 7.455003529411765, 6.159684347826087, 3.0148200000000003, 0.0), # 46
(5.934938722826087, 12.06895065340909, 9.218324266304347, 4.966928749999999, 2.859080824468085, 0.0, 7.842075318590705, 11.43632329787234, 7.450393124999999, 6.145549510869564, 3.0172376633522724, 0.0), # 47
(5.944461732736574, 12.07843159090909, 9.196123695652174, 4.9636958823529405, 2.854106808510638, 0.0, 7.7817066341829095, 11.416427234042551, 7.445543823529412, 6.130749130434782, 3.0196078977272727, 0.0), # 48
(5.953790672953963, 12.087721278409088, 9.17295758152174, 4.960306838235294, 2.8488972606382976, 0.0, 7.71923092203898, 11.39558904255319, 7.4404602573529415, 6.115305054347826, 3.021930319602272, 0.0), # 49
(5.96293158567775, 12.096818181818177, 9.148858695652175, 4.956764705882353, 2.8434574468085105, 0.0, 7.65476011994003, 11.373829787234042, 7.43514705882353, 6.099239130434783, 3.0242045454545443, 0.0), # 50
(5.971890513107417, 12.105720767045453, 9.123859809782608, 4.953072573529411, 2.837792632978723, 0.0, 7.588406165667167, 11.351170531914892, 7.429608860294118, 6.082573206521738, 3.026430191761363, 0.0), # 51
(5.980673497442456, 12.114427499999998, 9.097993695652173, 4.949233529411764, 2.8319080851063827, 0.0, 7.5202809970015, 11.32763234042553, 7.4238502941176465, 6.065329130434781, 3.0286068749999995, 0.0), # 52
(5.989286580882353, 12.122936846590909, 9.071293125, 4.945250661764706, 2.8258090691489364, 0.0, 7.450496551724138, 11.303236276595745, 7.417875992647058, 6.04752875, 3.030734211647727, 0.0), # 53
(5.9977358056266, 12.13124727272727, 9.043790869565216, 4.941127058823529, 2.8195008510638297, 0.0, 7.379164767616192, 11.278003404255319, 7.411690588235294, 6.0291939130434775, 3.0328118181818176, 0.0), # 54
(6.00602721387468, 12.139357244318182, 9.015519701086955, 4.93686580882353, 2.8129886968085103, 0.0, 7.306397582458771, 11.251954787234041, 7.405298713235295, 6.010346467391304, 3.0348393110795455, 0.0), # 55
(6.014166847826087, 12.147265227272724, 8.986512391304348, 4.9324699999999995, 2.8062778723404254, 0.0, 7.232306934032984, 11.225111489361701, 7.398705, 5.991008260869565, 3.036816306818181, 0.0), # 56
(6.022160749680308, 12.154969687500001, 8.95680171195652, 4.927942720588234, 2.7993736436170207, 0.0, 7.15700476011994, 11.197494574468083, 7.391914080882352, 5.9712011413043475, 3.0387424218750003, 0.0), # 57
(6.030014961636829, 12.16246909090909, 8.926420434782608, 4.923287058823529, 2.792281276595744, 0.0, 7.0806029985007495, 11.169125106382976, 7.384930588235295, 5.950946956521738, 3.0406172727272724, 0.0), # 58
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 59
)
passenger_allighting_rate = (
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 0
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 1
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 2
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 3
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 4
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 5
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 6
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 7
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 8
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 9
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 10
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 11
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 12
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 13
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 14
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 15
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 16
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 17
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 18
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 19
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 20
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 21
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 22
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 23
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 24
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 25
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 26
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 27
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 28
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 29
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 30
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 31
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 32
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 33
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 34
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 35
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 36
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 37
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 38
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 39
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 40
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 41
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 42
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 43
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 44
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 45
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 46
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 47
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 48
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 49
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 50
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 51
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 52
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 53
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 54
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 55
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 56
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 57
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 58
(0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 59
)
"""
parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html
"""
#initial entropy
entropy = 258194110137029475889902652135037600173
#index for seed sequence child
child_seed_index = (
1, # 0
92, # 1
)
| """
PASSENGERS
"""
num_passengers = 4053
passenger_arriving = ((5, 14, 9, 5, 2, 0, 9, 8, 8, 10, 0, 0), (5, 9, 6, 3, 1, 0, 0, 12, 5, 11, 4, 0), (5, 8, 9, 2, 2, 0, 6, 9, 5, 4, 3, 0), (7, 9, 13, 3, 3, 0, 7, 14, 5, 9, 2, 0), (4, 14, 11, 4, 0, 0, 4, 9, 9, 12, 4, 0), (3, 9, 9, 9, 3, 0, 10, 11, 5, 5, 2, 0), (9, 8, 10, 2, 0, 0, 8, 9, 4, 5, 1, 0), (5, 11, 5, 2, 3, 0, 6, 9, 9, 3, 1, 0), (2, 8, 5, 6, 1, 0, 7, 19, 6, 2, 4, 0), (6, 15, 6, 2, 8, 0, 10, 8, 7, 5, 3, 0), (5, 6, 10, 3, 2, 0, 7, 10, 8, 8, 4, 0), (5, 11, 8, 5, 0, 0, 8, 6, 3, 7, 0, 0), (2, 12, 14, 4, 4, 0, 6, 7, 3, 9, 4, 0), (4, 12, 7, 6, 5, 0, 15, 15, 4, 2, 5, 0), (3, 12, 7, 6, 5, 0, 8, 12, 5, 9, 4, 0), (4, 17, 10, 1, 5, 0, 11, 9, 9, 9, 3, 0), (8, 12, 7, 4, 2, 0, 6, 14, 5, 7, 6, 0), (7, 10, 10, 3, 2, 0, 9, 18, 8, 7, 4, 0), (3, 6, 11, 3, 7, 0, 9, 12, 6, 4, 0, 0), (9, 15, 12, 8, 2, 0, 13, 16, 7, 10, 3, 0), (4, 18, 6, 9, 5, 0, 13, 6, 6, 7, 3, 0), (6, 12, 7, 4, 3, 0, 5, 7, 8, 5, 4, 0), (11, 7, 11, 8, 5, 0, 13, 8, 12, 4, 2, 0), (7, 15, 13, 2, 1, 0, 7, 9, 6, 10, 4, 0), (8, 8, 9, 4, 3, 0, 7, 13, 9, 5, 1, 0), (5, 18, 10, 5, 4, 0, 8, 14, 8, 9, 0, 0), (2, 12, 10, 4, 2, 0, 15, 13, 9, 11, 1, 0), (5, 7, 11, 7, 0, 0, 8, 10, 8, 3, 1, 0), (6, 15, 16, 2, 3, 0, 5, 10, 7, 8, 1, 0), (6, 8, 8, 4, 1, 0, 7, 7, 2, 7, 4, 0), (4, 13, 12, 4, 1, 0, 6, 15, 9, 9, 3, 0), (6, 11, 11, 4, 2, 0, 8, 17, 11, 6, 3, 0), (4, 19, 5, 7, 2, 0, 4, 17, 6, 6, 1, 0), (3, 15, 9, 6, 3, 0, 6, 14, 6, 3, 5, 0), (6, 11, 6, 6, 0, 0, 11, 11, 7, 8, 4, 0), (7, 8, 4, 4, 6, 0, 8, 11, 6, 4, 3, 0), (4, 10, 15, 3, 3, 0, 6, 8, 7, 5, 3, 0), (2, 8, 1, 10, 3, 0, 10, 13, 3, 2, 2, 0), (5, 10, 9, 4, 3, 0, 9, 7, 6, 9, 1, 0), (5, 12, 5, 5, 0, 0, 8, 8, 12, 3, 5, 0), (4, 10, 14, 5, 2, 0, 8, 11, 8, 2, 5, 0), (5, 13, 9, 3, 1, 0, 5, 9, 7, 6, 3, 0), (7, 12, 8, 8, 3, 0, 9, 13, 9, 10, 2, 0), (9, 13, 10, 9, 0, 0, 7, 12, 7, 7, 1, 0), (1, 16, 13, 5, 2, 0, 10, 14, 10, 5, 2, 0), (6, 14, 14, 7, 2, 0, 9, 14, 6, 6, 5, 0), (4, 18, 8, 8, 2, 0, 17, 12, 9, 10, 3, 0), (10, 12, 6, 2, 3, 0, 9, 8, 5, 4, 7, 0), (4, 11, 4, 9, 1, 0, 8, 14, 7, 10, 0, 0), (6, 13, 7, 4, 3, 0, 8, 9, 6, 3, 4, 0), (9, 14, 8, 6, 4, 0, 7, 6, 6, 3, 3, 0), (3, 11, 8, 6, 3, 0, 9, 13, 5, 7, 2, 0), (6, 12, 11, 2, 2, 0, 3, 10, 6, 10, 3, 0), (9, 16, 9, 5, 1, 0, 5, 11, 13, 5, 2, 0), (6, 14, 13, 3, 3, 0, 5, 10, 10, 8, 4, 0), (2, 13, 6, 3, 4, 0, 7, 7, 7, 6, 1, 0), (4, 14, 8, 6, 1, 0, 6, 14, 8, 6, 3, 0), (5, 9, 7, 3, 3, 0, 6, 12, 7, 9, 2, 0), (3, 9, 9, 4, 4, 0, 5, 14, 7, 5, 3, 0), (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0))
station_arriving_intensity = ((4.769372805092186, 12.233629261363635, 14.389624839331619, 11.405298913043477, 12.857451923076923, 8.562228260869567), (4.81413961808604, 12.369674877683082, 14.46734796754499, 11.46881589673913, 12.953819711538461, 8.559309850543478), (4.8583952589991215, 12.503702525252525, 14.54322622107969, 11.530934782608696, 13.048153846153847, 8.556302173913043), (4.902102161984196, 12.635567578125, 14.617204169344474, 11.591602581521737, 13.14036778846154, 8.553205638586958), (4.94522276119403, 12.765125410353535, 14.689226381748071, 11.650766304347826, 13.230375, 8.550020652173911), (4.987719490781387, 12.892231395991162, 14.759237427699228, 11.708372961956522, 13.318088942307691, 8.546747622282608), (5.029554784899035, 13.01674090909091, 14.827181876606687, 11.764369565217393, 13.403423076923078, 8.54338695652174), (5.0706910776997365, 13.138509323705808, 14.893004297879177, 11.818703125, 13.486290865384618, 8.5399390625), (5.1110908033362605, 13.257392013888888, 14.956649260925452, 11.871320652173912, 13.56660576923077, 8.536404347826087), (5.1507163959613695, 13.373244353693181, 15.018061335154243, 11.922169157608696, 13.644281249999999, 8.532783220108696), (5.1895302897278315, 13.485921717171717, 15.077185089974291, 11.971195652173915, 13.719230769230771, 8.529076086956522), (5.227494918788412, 13.595279478377526, 15.133965094794343, 12.018347146739131, 13.791367788461539, 8.525283355978262), (5.2645727172958745, 13.701173011363636, 15.188345919023137, 12.063570652173912, 13.860605769230768, 8.521405434782608), (5.3007261194029835, 13.803457690183082, 15.240272132069407, 12.106813179347826, 13.926858173076925, 8.51744273097826), (5.335917559262511, 13.90198888888889, 15.289688303341899, 12.148021739130433, 13.99003846153846, 8.513395652173912), (5.370109471027217, 13.996621981534089, 15.336539002249355, 12.187143342391304, 14.050060096153846, 8.509264605978261), (5.403264288849868, 14.087212342171718, 15.380768798200515, 12.224124999999999, 14.10683653846154, 8.50505), (5.4353444468832315, 14.173615344854797, 15.422322260604112, 12.258913722826087, 14.16028125, 8.500752241847827), (5.46631237928007, 14.255686363636363, 15.461143958868895, 12.291456521739132, 14.210307692307696, 8.496371739130435), (5.496130520193152, 14.333280772569443, 15.4971784624036, 12.321700407608695, 14.256829326923079, 8.491908899456522), (5.524761303775241, 14.40625394570707, 15.530370340616965, 12.349592391304348, 14.299759615384616, 8.487364130434782), (5.552167164179106, 14.47446125710227, 15.56066416291774, 12.375079483695652, 14.339012019230768, 8.482737839673913), (5.578310535557506, 14.537758080808082, 15.588004498714653, 12.398108695652175, 14.374499999999998, 8.47803043478261), (5.603153852063214, 14.595999790877526, 15.612335917416454, 12.418627038043478, 14.40613701923077, 8.473242323369567), (5.62665954784899, 14.649041761363636, 15.633602988431875, 12.43658152173913, 14.433836538461538, 8.468373913043479), (5.648790057067603, 14.696739366319445, 15.651750281169667, 12.451919157608696, 14.457512019230768, 8.463425611413044), (5.669507813871817, 14.738947979797977, 15.66672236503856, 12.464586956521739, 14.477076923076922, 8.458397826086957), (5.688775252414398, 14.77552297585227, 15.6784638094473, 12.474531929347828, 14.492444711538463, 8.453290964673915), (5.7065548068481124, 14.806319728535353, 15.68691918380463, 12.481701086956523, 14.503528846153845, 8.448105434782608), (5.722808911325724, 14.831193611900254, 15.69203305751928, 12.486041440217392, 14.510242788461538, 8.44284164402174), (5.7375, 14.85, 15.69375, 12.4875, 14.512500000000001, 8.4375), (5.751246651214834, 14.865621839488634, 15.692462907608693, 12.487236580882353, 14.511678590425532, 8.430077267616193), (5.7646965153452685, 14.881037215909092, 15.68863804347826, 12.486451470588234, 14.509231914893617, 8.418644565217393), (5.777855634590792, 14.896244211647728, 15.682330027173915, 12.485152389705883, 14.50518630319149, 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14.217287234042553, 7.65476011994003), (5.971890513107417, 15.132150958806818, 15.206433016304347, 12.38268143382353, 14.188963164893616, 7.588406165667167), (5.980673497442456, 15.143034375, 15.163322826086954, 12.373083823529411, 14.159540425531915, 7.5202809970015), (5.989286580882353, 15.153671058238638, 15.118821875, 12.363126654411765, 14.129045345744682, 7.450496551724138), (5.9977358056266, 15.164059090909088, 15.072984782608694, 12.352817647058824, 14.09750425531915, 7.379164767616192), (6.00602721387468, 15.174196555397728, 15.02586616847826, 12.342164522058825, 14.064943484042553, 7.306397582458771), (6.014166847826087, 15.184081534090907, 14.977520652173913, 12.331175, 14.031389361702129, 7.232306934032984), (6.022160749680308, 15.193712109375003, 14.92800285326087, 12.319856801470587, 13.996868218085105, 7.15700476011994), (6.030014961636829, 15.203086363636363, 14.877367391304347, 12.308217647058825, 13.961406382978723, 7.0806029985007495), (0.0, 0.0, 0.0, 0.0, 0.0, 0.0))
passenger_arriving_acc = ((5, 14, 9, 5, 2, 0, 9, 8, 8, 10, 0, 0), (10, 23, 15, 8, 3, 0, 9, 20, 13, 21, 4, 0), (15, 31, 24, 10, 5, 0, 15, 29, 18, 25, 7, 0), (22, 40, 37, 13, 8, 0, 22, 43, 23, 34, 9, 0), (26, 54, 48, 17, 8, 0, 26, 52, 32, 46, 13, 0), (29, 63, 57, 26, 11, 0, 36, 63, 37, 51, 15, 0), (38, 71, 67, 28, 11, 0, 44, 72, 41, 56, 16, 0), (43, 82, 72, 30, 14, 0, 50, 81, 50, 59, 17, 0), (45, 90, 77, 36, 15, 0, 57, 100, 56, 61, 21, 0), (51, 105, 83, 38, 23, 0, 67, 108, 63, 66, 24, 0), (56, 111, 93, 41, 25, 0, 74, 118, 71, 74, 28, 0), (61, 122, 101, 46, 25, 0, 82, 124, 74, 81, 28, 0), (63, 134, 115, 50, 29, 0, 88, 131, 77, 90, 32, 0), (67, 146, 122, 56, 34, 0, 103, 146, 81, 92, 37, 0), (70, 158, 129, 62, 39, 0, 111, 158, 86, 101, 41, 0), (74, 175, 139, 63, 44, 0, 122, 167, 95, 110, 44, 0), (82, 187, 146, 67, 46, 0, 128, 181, 100, 117, 50, 0), (89, 197, 156, 70, 48, 0, 137, 199, 108, 124, 54, 0), (92, 203, 167, 73, 55, 0, 146, 211, 114, 128, 54, 0), (101, 218, 179, 81, 57, 0, 159, 227, 121, 138, 57, 0), (105, 236, 185, 90, 62, 0, 172, 233, 127, 145, 60, 0), (111, 248, 192, 94, 65, 0, 177, 240, 135, 150, 64, 0), (122, 255, 203, 102, 70, 0, 190, 248, 147, 154, 66, 0), (129, 270, 216, 104, 71, 0, 197, 257, 153, 164, 70, 0), (137, 278, 225, 108, 74, 0, 204, 270, 162, 169, 71, 0), (142, 296, 235, 113, 78, 0, 212, 284, 170, 178, 71, 0), (144, 308, 245, 117, 80, 0, 227, 297, 179, 189, 72, 0), (149, 315, 256, 124, 80, 0, 235, 307, 187, 192, 73, 0), (155, 330, 272, 126, 83, 0, 240, 317, 194, 200, 74, 0), (161, 338, 280, 130, 84, 0, 247, 324, 196, 207, 78, 0), (165, 351, 292, 134, 85, 0, 253, 339, 205, 216, 81, 0), (171, 362, 303, 138, 87, 0, 261, 356, 216, 222, 84, 0), (175, 381, 308, 145, 89, 0, 265, 373, 222, 228, 85, 0), (178, 396, 317, 151, 92, 0, 271, 387, 228, 231, 90, 0), (184, 407, 323, 157, 92, 0, 282, 398, 235, 239, 94, 0), (191, 415, 327, 161, 98, 0, 290, 409, 241, 243, 97, 0), (195, 425, 342, 164, 101, 0, 296, 417, 248, 248, 100, 0), (197, 433, 343, 174, 104, 0, 306, 430, 251, 250, 102, 0), (202, 443, 352, 178, 107, 0, 315, 437, 257, 259, 103, 0), (207, 455, 357, 183, 107, 0, 323, 445, 269, 262, 108, 0), (211, 465, 371, 188, 109, 0, 331, 456, 277, 264, 113, 0), (216, 478, 380, 191, 110, 0, 336, 465, 284, 270, 116, 0), (223, 490, 388, 199, 113, 0, 345, 478, 293, 280, 118, 0), (232, 503, 398, 208, 113, 0, 352, 490, 300, 287, 119, 0), (233, 519, 411, 213, 115, 0, 362, 504, 310, 292, 121, 0), (239, 533, 425, 220, 117, 0, 371, 518, 316, 298, 126, 0), (243, 551, 433, 228, 119, 0, 388, 530, 325, 308, 129, 0), (253, 563, 439, 230, 122, 0, 397, 538, 330, 312, 136, 0), (257, 574, 443, 239, 123, 0, 405, 552, 337, 322, 136, 0), (263, 587, 450, 243, 126, 0, 413, 561, 343, 325, 140, 0), (272, 601, 458, 249, 130, 0, 420, 567, 349, 328, 143, 0), (275, 612, 466, 255, 133, 0, 429, 580, 354, 335, 145, 0), (281, 624, 477, 257, 135, 0, 432, 590, 360, 345, 148, 0), (290, 640, 486, 262, 136, 0, 437, 601, 373, 350, 150, 0), (296, 654, 499, 265, 139, 0, 442, 611, 383, 358, 154, 0), (298, 667, 505, 268, 143, 0, 449, 618, 390, 364, 155, 0), (302, 681, 513, 274, 144, 0, 455, 632, 398, 370, 158, 0), (307, 690, 520, 277, 147, 0, 461, 644, 405, 379, 160, 0), (310, 699, 529, 281, 151, 0, 466, 658, 412, 384, 163, 0), (310, 699, 529, 281, 151, 0, 466, 658, 412, 384, 163, 0))
passenger_arriving_rate = ((4.769372805092186, 9.786903409090908, 8.63377490359897, 4.56211956521739, 2.5714903846153843, 0.0, 8.562228260869567, 10.285961538461537, 6.843179347826086, 5.755849935732647, 2.446725852272727, 0.0), (4.81413961808604, 9.895739902146465, 8.680408780526994, 4.587526358695651, 2.5907639423076922, 0.0, 8.559309850543478, 10.363055769230769, 6.881289538043478, 5.786939187017995, 2.4739349755366162, 0.0), (4.8583952589991215, 10.00296202020202, 8.725935732647814, 4.612373913043478, 2.609630769230769, 0.0, 8.556302173913043, 10.438523076923076, 6.918560869565217, 5.817290488431875, 2.500740505050505, 0.0), (4.902102161984196, 10.1084540625, 8.770322501606683, 4.636641032608694, 2.628073557692308, 0.0, 8.553205638586958, 10.512294230769232, 6.954961548913042, 5.846881667737789, 2.527113515625, 0.0), (4.94522276119403, 10.212100328282828, 8.813535829048842, 4.66030652173913, 2.6460749999999997, 0.0, 8.550020652173911, 10.584299999999999, 6.990459782608696, 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1))
'\nparameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html\n'
entropy = 258194110137029475889902652135037600173
child_seed_index = (1, 92) |
'''
Exercise 1:
Rewrite your pay computation to give the employee 1.5 times\
the hourly rate for hours worked above 40 hours.
----Example:
Enter Hours: 45
Enter Rate: 10
Pay: 475.0
Note: (40*10 + 5*10*1.5 = 475.0)
'''
hours = int(input('Enter Hours: '))
rate = float(input('Enter Rate: '))
if(hours>40):
pay = (40 + (hours-40) * 1.5) * rate
else:
pay = 40 * rate
print('Pay:', pay)
| """
Exercise 1:
Rewrite your pay computation to give the employee 1.5 times the hourly rate for hours worked above 40 hours.
----Example:
Enter Hours: 45
Enter Rate: 10
Pay: 475.0
Note: (40*10 + 5*10*1.5 = 475.0)
"""
hours = int(input('Enter Hours: '))
rate = float(input('Enter Rate: '))
if hours > 40:
pay = (40 + (hours - 40) * 1.5) * rate
else:
pay = 40 * rate
print('Pay:', pay) |
"""
{{ cookiecutter.project_short_description }}.
"""
__version__ = '{{ cookiecutter.version }}'
| """
{{ cookiecutter.project_short_description }}.
"""
__version__ = '{{ cookiecutter.version }}' |
# small filters to manupulate lists
class FilterModule(object):
# given a flat list (or tuple, or set), return a deduplicated list, i.e.,
# a list in which each unique item in the src list only occurs once
@staticmethod
def _uniq(src):
return list(set(src))
# given a list of list (e.g., [[a,b,c],[c,d,e],[e,f,g]]) return a flat
# list [a,b,c,c,d,e,e,f,g]
@staticmethod
def _flatten(src):
return [ item for sublist in src for item in sublist ]
def filters(self):
return {
'uniq': self._uniq,
'flatten': self._flatten,
}
| class Filtermodule(object):
@staticmethod
def _uniq(src):
return list(set(src))
@staticmethod
def _flatten(src):
return [item for sublist in src for item in sublist]
def filters(self):
return {'uniq': self._uniq, 'flatten': self._flatten} |
def parse_like_term(term):
if term.startswith('^'):
stmt = '%s%%' % term[1:]
elif term.startswith('='):
stmt = term[1:]
else:
stmt = '%%%s%%' % term
return stmt
def get_primary_key(model):
"""
Return primary key name from a model
:param model:
Model class
"""
props = model._sa_class_manager.mapper.iterate_properties
for p in props:
if hasattr(p, 'columns'):
for c in p.columns:
if c.primary_key:
return p.key
return None
| def parse_like_term(term):
if term.startswith('^'):
stmt = '%s%%' % term[1:]
elif term.startswith('='):
stmt = term[1:]
else:
stmt = '%%%s%%' % term
return stmt
def get_primary_key(model):
"""
Return primary key name from a model
:param model:
Model class
"""
props = model._sa_class_manager.mapper.iterate_properties
for p in props:
if hasattr(p, 'columns'):
for c in p.columns:
if c.primary_key:
return p.key
return None |
def bubble_sort(lst):
for passnum in range(len(lst) - 1, 0, -1):
for i in range(passnum):
if lst[i] > lst[i + 1]:
lst[i], lst[i + 1] = lst[i + 1], lst[i]
| def bubble_sort(lst):
for passnum in range(len(lst) - 1, 0, -1):
for i in range(passnum):
if lst[i] > lst[i + 1]:
(lst[i], lst[i + 1]) = (lst[i + 1], lst[i]) |
# -*- coding: utf-8 -*-
# Copyright (c) 2016-2017, Zhijiang Yao, Jie Dong and Dongsheng Cao
# All rights reserved.
# This file is part of the PyBioMed.
# The contents are covered by the terms of the BSD license
# which is included in the file license.txt, found at the root
# of the PyBioMed source tree.
"""
#####################################################################################
This module is used for checking whether the input protein sequence is valid amino acid
sequence. You can freely use and distribute it. If you hava any problem, you could
contact with us timely!
Authors: Zhijiang Yao and Dongsheng Cao.
Date: 2016.06.04
Email: gadsby@163.com
#####################################################################################
"""
AALetter = ["A", "R", "N", "D", "C", "E", "Q", "G", "H", "I", "L", "K", "M", "F", "P", "S", "T", "W", "Y", "V"]
def ProteinCheck(ProteinSequence):
"""
###################################################################################
Check whether the protein sequence is a valid amino acid sequence or not
Usage:
result=ProteinCheck(protein)
Input: protein is a pure protein sequence.
Output: if the check is no problem, result will return the length of protein.
if the check has problems, result will return 0.
###################################################################################
"""
NumPro = len(ProteinSequence)
for i in ProteinSequence:
if i not in AALetter:
flag = 0
break
else:
flag = NumPro
return flag
if __name__ == "__main__":
protein = "ADGCGVGEGTGQGPMCNCMCMKWVYADEDAADLESDSFADEDASLESDSFPWSNQRVFCSFADEDASU"
protein = "ADGC"
print(ProteinCheck(protein))
| """
#####################################################################################
This module is used for checking whether the input protein sequence is valid amino acid
sequence. You can freely use and distribute it. If you hava any problem, you could
contact with us timely!
Authors: Zhijiang Yao and Dongsheng Cao.
Date: 2016.06.04
Email: gadsby@163.com
#####################################################################################
"""
aa_letter = ['A', 'R', 'N', 'D', 'C', 'E', 'Q', 'G', 'H', 'I', 'L', 'K', 'M', 'F', 'P', 'S', 'T', 'W', 'Y', 'V']
def protein_check(ProteinSequence):
"""
###################################################################################
Check whether the protein sequence is a valid amino acid sequence or not
Usage:
result=ProteinCheck(protein)
Input: protein is a pure protein sequence.
Output: if the check is no problem, result will return the length of protein.
if the check has problems, result will return 0.
###################################################################################
"""
num_pro = len(ProteinSequence)
for i in ProteinSequence:
if i not in AALetter:
flag = 0
break
else:
flag = NumPro
return flag
if __name__ == '__main__':
protein = 'ADGCGVGEGTGQGPMCNCMCMKWVYADEDAADLESDSFADEDASLESDSFPWSNQRVFCSFADEDASU'
protein = 'ADGC'
print(protein_check(protein)) |
print('First Program!')
print('What is your name?')
my_Name = input()
print ('')
print ('Your names is: ' + my_Name )
| print('First Program!')
print('What is your name?')
my__name = input()
print('')
print('Your names is: ' + my_Name) |
# input
with open('input.txt') as f:
lines = f.readlines()
# part 1
def process_line(mask, value):
output = ['0'] * 36
binval = bin(value)[2:]
for ii in range(len(binval)):
output[len(output)-1-ii] = binval[len(binval)-1-ii]
for ii in range(len(mask)):
if mask[ii] != 'X':
output[ii] = mask[ii]
return int(''.join(output), 2)
memory = {}
for line in lines:
items = line.strip().split(' = ')
if items[0] == 'mask':
mask = items[1]
else:
key = int(items[0].strip('mem[]'))
inval = int(items[1])
memory[key] = process_line(mask, inval)
ans1 = sum(memory.values())
# part 2
def decode(mask, value):
output = ['0'] * 36
binval = bin(value)[2:]
for ii in range(len(binval)):
output[len(output)-1-ii] = binval[len(binval)-1-ii]
for ii in range(len(mask)):
if mask[ii] != '0':
output[ii] = mask[ii]
return floating(output)
def floating(value):
if 'X' in value:
value_0 = value.copy()
value_1 = value.copy()
value_0[value.index('X')] = '0'
value_1[value.index('X')] = '1'
return floating(value_0) + floating(value_1)
return [int(''.join(value), 2)]
memory = {}
for line in lines:
items = line.strip().split(' = ')
if items[0] == 'mask':
mask = items[1]
else:
inkey = int(items[0].strip('mem[]'))
val = int(items[1])
keys = decode(mask, inkey)
for key in keys:
memory[key] = val
ans2 = sum(memory.values())
# output
answer = []
answer.append('Part 1: {}'.format(ans1))
answer.append('Part 2: {}'.format(ans2))
with open('solution.txt', 'w') as f:
f.writelines('\n'.join(answer)+'\n')
| with open('input.txt') as f:
lines = f.readlines()
def process_line(mask, value):
output = ['0'] * 36
binval = bin(value)[2:]
for ii in range(len(binval)):
output[len(output) - 1 - ii] = binval[len(binval) - 1 - ii]
for ii in range(len(mask)):
if mask[ii] != 'X':
output[ii] = mask[ii]
return int(''.join(output), 2)
memory = {}
for line in lines:
items = line.strip().split(' = ')
if items[0] == 'mask':
mask = items[1]
else:
key = int(items[0].strip('mem[]'))
inval = int(items[1])
memory[key] = process_line(mask, inval)
ans1 = sum(memory.values())
def decode(mask, value):
output = ['0'] * 36
binval = bin(value)[2:]
for ii in range(len(binval)):
output[len(output) - 1 - ii] = binval[len(binval) - 1 - ii]
for ii in range(len(mask)):
if mask[ii] != '0':
output[ii] = mask[ii]
return floating(output)
def floating(value):
if 'X' in value:
value_0 = value.copy()
value_1 = value.copy()
value_0[value.index('X')] = '0'
value_1[value.index('X')] = '1'
return floating(value_0) + floating(value_1)
return [int(''.join(value), 2)]
memory = {}
for line in lines:
items = line.strip().split(' = ')
if items[0] == 'mask':
mask = items[1]
else:
inkey = int(items[0].strip('mem[]'))
val = int(items[1])
keys = decode(mask, inkey)
for key in keys:
memory[key] = val
ans2 = sum(memory.values())
answer = []
answer.append('Part 1: {}'.format(ans1))
answer.append('Part 2: {}'.format(ans2))
with open('solution.txt', 'w') as f:
f.writelines('\n'.join(answer) + '\n') |
class GridOutOfBoundsException(Exception):
pass
class GridGenerateException(Exception):
pass
class InvalidDimensionsException(Exception):
pass | class Gridoutofboundsexception(Exception):
pass
class Gridgenerateexception(Exception):
pass
class Invaliddimensionsexception(Exception):
pass |
def de_casteljau(t, coefs):
beta = [c for c in coefs] # values in this list are overridden
n = len(beta)
for j in range(1, n):
for k in range(n - j):
beta[k] = beta[k] * (1 - t) + beta[k + 1] * t
return beta[0];
P1 = [-20,0,-11]
P2 = [-10,0,-5]
P3 = [10,0,-5]
P4 = [20,0,-11]
coefs_x = [P1[0],P2[0],P3[0],P4[0]]
coefs_y = [P1[1],P2[1],P3[1],P4[1]]
coefs_z = [P1[2],P2[2],P3[2],P4[2]]
beta = coefs_x
print('x =' + str(de_casteljau(0.7, coefs_x)))
print('y =' + str(de_casteljau(0.7, coefs_y)))
print('z =' + str(de_casteljau(0.7, coefs_z)))
| def de_casteljau(t, coefs):
beta = [c for c in coefs]
n = len(beta)
for j in range(1, n):
for k in range(n - j):
beta[k] = beta[k] * (1 - t) + beta[k + 1] * t
return beta[0]
p1 = [-20, 0, -11]
p2 = [-10, 0, -5]
p3 = [10, 0, -5]
p4 = [20, 0, -11]
coefs_x = [P1[0], P2[0], P3[0], P4[0]]
coefs_y = [P1[1], P2[1], P3[1], P4[1]]
coefs_z = [P1[2], P2[2], P3[2], P4[2]]
beta = coefs_x
print('x =' + str(de_casteljau(0.7, coefs_x)))
print('y =' + str(de_casteljau(0.7, coefs_y)))
print('z =' + str(de_casteljau(0.7, coefs_z))) |
def author(name):
def wrapper(func):
func.author = name
return func
return wrapper
@author("Author")
def add2(num: int) -> int:
return num + 2
print(add2.author)
| def author(name):
def wrapper(func):
func.author = name
return func
return wrapper
@author('Author')
def add2(num: int) -> int:
return num + 2
print(add2.author) |
# TODO: Extract Class
"""
The Extract class will support data transformations and will be subclassed to allow for data to be transformed in
more complex ways.
The Extract feature should have support to be placed ANYWHERE within the ApiForm and should follow a pub-sub type model
I.e. Extract allows for real-time summaries and features to be extracted from the data.
pre_process = [
.
.
SubclassExtractFeaturePublishLatLong( subpub_model="firestore",
lam=lamdba x: [ x["data"]["lat"], x["data"]["long"] ],
mode="summary",
fmt_str="New data has been received with coordinates Lat: {} Long: {}"
)
.
.
]
stores = [
.
.
SubclassExtractFeatureSummarizeAverage( subpub_model="redis",
lam=lambda x: .
.
.
)
]
"""
class Extract(object):
def __init__(self):
pass
| """
The Extract class will support data transformations and will be subclassed to allow for data to be transformed in
more complex ways.
The Extract feature should have support to be placed ANYWHERE within the ApiForm and should follow a pub-sub type model
I.e. Extract allows for real-time summaries and features to be extracted from the data.
pre_process = [
.
.
SubclassExtractFeaturePublishLatLong( subpub_model="firestore",
lam=lamdba x: [ x["data"]["lat"], x["data"]["long"] ],
mode="summary",
fmt_str="New data has been received with coordinates Lat: {} Long: {}"
)
.
.
]
stores = [
.
.
SubclassExtractFeatureSummarizeAverage( subpub_model="redis",
lam=lambda x: .
.
.
)
]
"""
class Extract(object):
def __init__(self):
pass |
class Channel():
""" setup legs and feet to correspond to the correct channel """
LEFT_LEG_FRONT = 0 # channel 0
LEFT_LEG_BACK = 1 # channel 2
RIGHT_LEG_FRONT = 2 # channel 6
RIGHT_LEG_BACK = 3 # channel 4
LEFT_FOOT_FRONT = 0 # channel 1
LEFT_FOOT_BACK = 1 # channel 3
RIGHT_FOOT_FRONT = 2 # channel 7
RIGHT_FOOT_BACK = 3 # channel 5 | class Channel:
""" setup legs and feet to correspond to the correct channel """
left_leg_front = 0
left_leg_back = 1
right_leg_front = 2
right_leg_back = 3
left_foot_front = 0
left_foot_back = 1
right_foot_front = 2
right_foot_back = 3 |
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def sortedArrayToBST(self, nums):
"""
:type nums: List[int]
:rtype: TreeNode
"""
return self.sortedArrayToBSTHelper(nums, 0, len(nums) - 1)
def sortedArrayToBSTHelper(self, nums, left, right):
if left > right:
return None
rootIdx = (left + right) // 2
root = TreeNode(nums[rootIdx])
root.left = self.sortedArrayToBSTHelper(nums, left, rootIdx - 1)
root.right = self.sortedArrayToBSTHelper(nums, rootIdx + 1, right)
return root
| class Solution(object):
def sorted_array_to_bst(self, nums):
"""
:type nums: List[int]
:rtype: TreeNode
"""
return self.sortedArrayToBSTHelper(nums, 0, len(nums) - 1)
def sorted_array_to_bst_helper(self, nums, left, right):
if left > right:
return None
root_idx = (left + right) // 2
root = tree_node(nums[rootIdx])
root.left = self.sortedArrayToBSTHelper(nums, left, rootIdx - 1)
root.right = self.sortedArrayToBSTHelper(nums, rootIdx + 1, right)
return root |
# encoding: utf-8
# module Tekla.Structures.Filtering.Categories calls itself Categories
# from Tekla.Structures, Version=2017.0.0.0, Culture=neutral, PublicKeyToken=2f04dbe497b71114
# by generator 1.145
# no doc
# no imports
# no functions
# classes
class AssemblyFilterExpressions(object):
# no doc
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
Guid = None
IdNumber = None
Level = None
Name = None
Phase = None
PositionNumber = None
Prefix = None
Series = None
StartNumber = None
Type = None
class BoltFilterExpressions(object):
# no doc
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
Length = None
Phase = None
SiteWorkshop = None
Size = None
Standard = None
class ComponentFilterExpressions(object):
# no doc
ConnectionCode = None
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
Name = None
Phase = None
RunningNumber = None
class LoadFilterExpressions(object):
# no doc
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
Group = None
Phase = None
Type = None
class LogicalAreaFilterExpressions(object):
# no doc
Building = None
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
Section = None
Site = None
Story = None
class ObjectFilterExpressions(object):
# no doc
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
Guid = None
IdNumber = None
IsComponent = None
Phase = None
Type = None
class ObjectTypesFilterExpressions(object):
# no doc
CategoryName = None
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
EntityName = None
class PartFilterExpressions(object):
# no doc
Class = None
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
Finish = None
Lot = None
Material = None
Name = None
NumberingSeries = None
Phase = None
PositionNumber = None
Prefix = None
PrimaryPart = None
Profile = None
StartNumber = None
class ReferenceObjectFilterExpressions(object):
# no doc
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
class ReinforcingBarFilterExpressions(object):
# no doc
Class = None
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
Diameter = None
JoinType = None
Length = None
Material = None
Name = None
NumberingSeries = None
Phase = None
Position = None
PositionNumber = None
Prefix = None
Shape = None
Size = None
StartNumber = None
class TaskFilterExpressions(object):
# no doc
ActualEndDate = None
ActualStartDate = None
Completeness = None
Critical = None
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
Local = None
Name = None
PlannedEndDate = None
PlannedStartDate = None
class TemplateFilterExpressions(object):
# no doc
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
class WeldFilterExpressions(object):
# no doc
CustomBoolean = None
CustomDateTime = None
CustomNumber = None
CustomString = None
Phase = None
PositionNumber = None
ReferenceText = None
SizeAboveLine = None
SizeBelowLine = None
TypeAboveLine = None
TypeBelowLine = None
WeldingSite = None
| class Assemblyfilterexpressions(object):
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
guid = None
id_number = None
level = None
name = None
phase = None
position_number = None
prefix = None
series = None
start_number = None
type = None
class Boltfilterexpressions(object):
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
length = None
phase = None
site_workshop = None
size = None
standard = None
class Componentfilterexpressions(object):
connection_code = None
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
name = None
phase = None
running_number = None
class Loadfilterexpressions(object):
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
group = None
phase = None
type = None
class Logicalareafilterexpressions(object):
building = None
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
section = None
site = None
story = None
class Objectfilterexpressions(object):
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
guid = None
id_number = None
is_component = None
phase = None
type = None
class Objecttypesfilterexpressions(object):
category_name = None
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
entity_name = None
class Partfilterexpressions(object):
class = None
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
finish = None
lot = None
material = None
name = None
numbering_series = None
phase = None
position_number = None
prefix = None
primary_part = None
profile = None
start_number = None
class Referenceobjectfilterexpressions(object):
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
class Reinforcingbarfilterexpressions(object):
class = None
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
diameter = None
join_type = None
length = None
material = None
name = None
numbering_series = None
phase = None
position = None
position_number = None
prefix = None
shape = None
size = None
start_number = None
class Taskfilterexpressions(object):
actual_end_date = None
actual_start_date = None
completeness = None
critical = None
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
local = None
name = None
planned_end_date = None
planned_start_date = None
class Templatefilterexpressions(object):
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
class Weldfilterexpressions(object):
custom_boolean = None
custom_date_time = None
custom_number = None
custom_string = None
phase = None
position_number = None
reference_text = None
size_above_line = None
size_below_line = None
type_above_line = None
type_below_line = None
welding_site = None |
reverse_list = []
def reverse_number(numbers):
for i in range(1,len(numbers)+1):
num = numbers.pop()
reverse_list.append(num)
print(reverse_list)
numbers = list(range(1,21))
print(numbers)
reverse_number(numbers)
| reverse_list = []
def reverse_number(numbers):
for i in range(1, len(numbers) + 1):
num = numbers.pop()
reverse_list.append(num)
print(reverse_list)
numbers = list(range(1, 21))
print(numbers)
reverse_number(numbers) |
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