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1faf1347cd1525f165138cd7f899bab919343c52 | 37a0d47e4ffe57277333012ba36ceea4b4c2685f | /backend/call/api/v1/viewsets.py | 14b5ef46b8100bd251adc74882d742df902743d4 | [] | no_license | crowdbotics-apps/nonprofitscreenapp-22237 | bbe5c1dc7ab1f4cae6860a671741b488a4e3e9f3 | fe5a55b917cb5cd166d3a91a5ba758e97e9f0286 | refs/heads/master | 2023-01-04T19:26:59.802350 | 2020-11-04T22:27:12 | 2020-11-04T22:27:12 | 309,513,430 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 395 | py | from rest_framework import authentication
from call.models import Phone
from .serializers import PhoneSerializer
from rest_framework import viewsets
class PhoneViewSet(viewsets.ModelViewSet):
serializer_class = PhoneSerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = Phone.objects.all()
| [
"team@crowdbotics.com"
] | team@crowdbotics.com |
91645f9825d06a79d1e9adbbb45c1628dcaef7db | bc441bb06b8948288f110af63feda4e798f30225 | /cmdb_sdk/api/instance_tree/instance_tree_anchor_v2_pb2.pyi | f8a06a06187f0c3f7230e5e651967797e0f62fa0 | [
"Apache-2.0"
] | permissive | easyopsapis/easyops-api-python | 23204f8846a332c30f5f3ff627bf220940137b6b | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | refs/heads/master | 2020-06-26T23:38:27.308803 | 2020-06-16T07:25:41 | 2020-06-16T07:25:41 | 199,773,131 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,176 | pyi | # @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from cmdb_sdk.model.cmdb.instance_tree_root_node_pb2 import (
InstanceTreeRootNode as cmdb_sdk___model___cmdb___instance_tree_root_node_pb2___InstanceTreeRootNode,
)
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.internal.containers import (
RepeatedScalarFieldContainer as google___protobuf___internal___containers___RepeatedScalarFieldContainer,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)
from google.protobuf.struct_pb2 import (
Struct as google___protobuf___struct_pb2___Struct,
)
from typing import (
Iterable as typing___Iterable,
Optional as typing___Optional,
Text as typing___Text,
Union as typing___Union,
)
from typing_extensions import (
Literal as typing_extensions___Literal,
)
builtin___bool = bool
builtin___bytes = bytes
builtin___float = float
builtin___int = int
if sys.version_info < (3,):
builtin___buffer = buffer
builtin___unicode = unicode
class InstanceTreeAnchorV2Request(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
ignore_single = ... # type: builtin___bool
object_id = ... # type: typing___Text
instanceIdList = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[typing___Text]
@property
def tree(self) -> cmdb_sdk___model___cmdb___instance_tree_root_node_pb2___InstanceTreeRootNode: ...
def __init__(self,
*,
tree : typing___Optional[cmdb_sdk___model___cmdb___instance_tree_root_node_pb2___InstanceTreeRootNode] = None,
ignore_single : typing___Optional[builtin___bool] = None,
object_id : typing___Optional[typing___Text] = None,
instanceIdList : typing___Optional[typing___Iterable[typing___Text]] = None,
) -> None: ...
if sys.version_info >= (3,):
@classmethod
def FromString(cls, s: builtin___bytes) -> InstanceTreeAnchorV2Request: ...
else:
@classmethod
def FromString(cls, s: typing___Union[builtin___bytes, builtin___buffer, builtin___unicode]) -> InstanceTreeAnchorV2Request: ...
def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
def HasField(self, field_name: typing_extensions___Literal[u"tree",b"tree"]) -> builtin___bool: ...
def ClearField(self, field_name: typing_extensions___Literal[u"ignore_single",b"ignore_single",u"instanceIdList",b"instanceIdList",u"object_id",b"object_id",u"tree",b"tree"]) -> None: ...
class InstanceTreeAnchorV2ResponseWrapper(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
code = ... # type: builtin___int
codeExplain = ... # type: typing___Text
error = ... # type: typing___Text
@property
def data(self) -> google___protobuf___struct_pb2___Struct: ...
def __init__(self,
*,
code : typing___Optional[builtin___int] = None,
codeExplain : typing___Optional[typing___Text] = None,
error : typing___Optional[typing___Text] = None,
data : typing___Optional[google___protobuf___struct_pb2___Struct] = None,
) -> None: ...
if sys.version_info >= (3,):
@classmethod
def FromString(cls, s: builtin___bytes) -> InstanceTreeAnchorV2ResponseWrapper: ...
else:
@classmethod
def FromString(cls, s: typing___Union[builtin___bytes, builtin___buffer, builtin___unicode]) -> InstanceTreeAnchorV2ResponseWrapper: ...
def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
def HasField(self, field_name: typing_extensions___Literal[u"data",b"data"]) -> builtin___bool: ...
def ClearField(self, field_name: typing_extensions___Literal[u"code",b"code",u"codeExplain",b"codeExplain",u"data",b"data",u"error",b"error"]) -> None: ...
| [
"service@easyops.cn"
] | service@easyops.cn |
15d82001b2d22e0b0bf25b220d0b11a954eab139 | 2680093864e7590185ab8b7178f21352d6d257a5 | /factorial.py | 5c8ae69eccfac0f029e0772e9cff3e11caa94185 | [] | no_license | BarnabasK/fizzbuzz | 157cb6fb94997c697f393a68bd235460511a7ca1 | 973f2ec39a8c3e2721a3ee668f9453e272a377f4 | refs/heads/master | 2021-01-11T06:54:20.342775 | 2016-10-30T16:25:26 | 2016-10-30T16:25:26 | 72,357,145 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 314 | py | #Have a function factorial(number), take the number parameter been passed and return the factorial of it.
#For example: if number is 4, it should return (4 * 3 * 2 * 1) which is 24.
def factorial(num):
factorial = 1
for i in range(1, num+1):
factorial = factorial * i
return factorial
print(factorial(10)) | [
"kariukibarnabas@gmail.com"
] | kariukibarnabas@gmail.com |
15f568242d6f174e8eaff829accce8f270d94282 | 3400b44c17b4366d66536338ea8dee08d58c926f | /generateinfo/views.py | 837f190714630121e143b6e622e22e0187ff8da6 | [] | no_license | DonSaik/pollsDjango | c01915de69238d02c4d40267d8bb12ca59ffc884 | 5ee8c70e85b375eea666dbb188c89d5ca37c8f4c | refs/heads/master | 2020-09-24T08:58:33.991534 | 2019-12-04T17:19:27 | 2019-12-04T17:19:27 | 225,720,921 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,996 | py | from django.shortcuts import get_object_or_404
from polls.models import Question
import io
from django.http import HttpResponse, FileResponse
from xlwt import Borders
from django.template.loader import get_template
from django.utils import timezone
import xhtml2pdf.pisa as pisa
import xlwt
import datetime
# Create your views here.
def pdf_view(request, question_id):
datalist = get_object_or_404(Question, pk=question_id)
today = timezone.now()
params = {
'today': today,
'data': datalist,
}
template = get_template('generateinfo/generatepdf.html')
html = template.render(params)
buffer = io.BytesIO()
pdf = pisa.pisaDocument(io.BytesIO(html.encode("UTF-8")), buffer)
buffer.seek(0)
return FileResponse(buffer, as_attachment=True, filename=str(datalist.id)+".pdf")
def excel_view(request, question_id):
datalist = get_object_or_404(Question, pk=question_id)
today = datetime.datetime.now()
response = HttpResponse(content_type='application/ms-excel')
response['Content-Disposition'] = 'attachment; filename="data.xls"'
wb = xlwt.Workbook(encoding='utf-8')
ws = wb.add_sheet('Question')
# Sheet header, first row
date_format = xlwt.XFStyle()
date_format.num_format_str = 'Mmm dd, yyyy, h:mm AM/PM'
row_num = 1
ws.write(row_num, 0, today, date_format)
row_num = 3
columns = ['ID', 'Question text', 'Created at', 'Groups', ]
font_style = xlwt.XFStyle()
font_style.font.bold = True
for col_num in range(len(columns)):
ws.write(row_num, col_num, columns[col_num], font_style)
# Sheet body, remaining rows
font_style = xlwt.XFStyle()
borders = Borders()
borders.top = Borders.THIN
borders.bottom = Borders.THIN
font_style.borders = borders
date_format.borders = borders
data = Question.objects.all().values_list('id', 'question_text', 'created_at')
row_num += 1
ws.write (row_num, 0, datalist.id, font_style)
ws.write(row_num, 1, datalist.question_text, font_style)
ws.write(row_num , 2, datalist.created_at.replace(tzinfo=None), date_format)
for row in datalist.groups.all():
ws.write(row_num, 3, row.name, font_style)
row_num += 1
# xlwt.easyxf("borders: left thin, right thin, top thin, bottom thin;")
row_num += 1
font_style = xlwt.XFStyle()
font_style.font.bold = True
columns = ['Choices', 'Votes', ]
for col_num in range(len(columns)):
ws.write(row_num, col_num, columns[col_num], font_style)
font_style = xlwt.XFStyle()
borders = Borders()
borders.top = Borders.THIN
borders.bottom = Borders.THIN
font_style.borders = borders
for row in datalist.choice_set.all():
row_num += 1
ws.write(row_num, 0, row.choice_text, font_style)
ws.write(row_num, 1, row.vote_set.count(), font_style)
for colx in range(0, 5):
width = 10000
ws.col(colx).width = width
wb.save(response)
return response | [
"ds32204@gmail.com"
] | ds32204@gmail.com |
1d4913ccb5c729773c440c70c0f177451d1d9578 | 2b28759d02601c21d8506ee9f45abe9f763c8d35 | /deivani9.py | 22a7dbb00aa29f6d5656833d8aac919388541dd9 | [] | no_license | Rajadeivani/deivani9 | da612e39f89d7db1abca09a94bd147c6f9505908 | ed2ac449f9652c6dd7e3b3df58c12abd83b23e29 | refs/heads/master | 2020-06-24T02:38:59.831762 | 2019-07-25T12:23:30 | 2019-07-25T12:23:30 | 198,825,400 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 151 | py | num = ch(input())
if((num>='a' and num<= 'z') or (num>='A' and num<='Z')):
print(num, "is an Alphabet")
else:
print(num, "is not an Alphabet")
| [
"noreply@github.com"
] | Rajadeivani.noreply@github.com |
41ecb0fe0bdf87b0c1ebc4493930a2d22f00a45e | a438adc4bdceb4acbb4d5a4cff48c05c720349c5 | /Lesson_12/shoppinglistparse.py | 04b9b74d6595aa867b821a4d003b2d6cdc9e9244 | [] | no_license | anneharris4/Hackbright-Intro-to-Programming-Assignments | d2f53e278cf0f39823aa6a87499440cf657d3844 | a35216499a199277158d335f477c1da52e492145 | refs/heads/master | 2016-09-13T06:58:39.237514 | 2016-05-22T22:43:33 | 2016-05-22T22:43:33 | 57,790,518 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 352 | py | shop1 = "item : apples, quantity : 4, price : 1.50\n"
shop2 = shop1.split(',')
quantity_list = shop2[1].split(":")[1]
price_list=shop2[2].split(':')[1]
quantity_list = float(quantity_list)
price_list =float(price_list)
def calculate_bill (quantity_list,price_list):
return quantity_list * price_list
print calculate_bill (quantity_list,price_list)
| [
"anneharris4@gmail.com"
] | anneharris4@gmail.com |
4cd2b717a6df5a7b3bf7eca581c8a162ae1bbbe3 | 66c3ff83c3e3e63bf8642742356f6c1817a30eca | /.vim/tmp/neocomplete/include_cache/=+home=+abel=+.virtualenvs=+django=+lib=+python2.7=+site-packages=+django=+core=+urlresolvers.py | 2a8512bf3f996b861a1f42b58f05eb423f8c92c1 | [] | no_license | pacifi/vim | 0a708e8bc741b4510a8da37da0d0e1eabb05ec83 | 22e706704357b961acb584e74689c7080e86a800 | refs/heads/master | 2021-05-20T17:18:10.481921 | 2020-08-06T12:38:58 | 2020-08-06T12:38:58 | 30,074,530 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,613 | py | [{'word': 'LocaleRegexProvider', 'menu': '[I]', 'kind': 'c', 'abbr': 'LocaleRegexProvider(object): <class>'}, {'word': 'LocaleRegexURLResolver', 'menu': '[I]', 'kind': 'c', 'abbr': 'LocaleRegexURLResolver(RegexURLResolver): <class>'}, {'word': 'NoReverseMatch', 'menu': '[I]', 'kind': 'c', 'abbr': 'NoReverseMatch(Exception): <class>'}, {'word': 'RegexURLPattern', 'menu': '[I]', 'kind': 'c', 'abbr': 'RegexURLPattern(LocaleRegexProvider): <class>'}, {'word': 'RegexURLResolver', 'menu': '[I]', 'kind': 'c', 'abbr': 'RegexURLResolver(LocaleRegexProvider): <class>'}, {'word': 'Resolver404', 'menu': '[I]', 'kind': 'c', 'abbr': 'Resolver404'}, {'word': 'ResolverMatch', 'menu': '[I]', 'kind': 'c', 'abbr': 'ResolverMatch(object): <class>'}, {'word': '__init__', 'menu': 'ResolverMatch', 'kind': 'm', 'abbr': 'def __init__(self, func, args, kwargs, url_name=None, app_name=None, namespaces=None):'}, {'word': '_callable_cache', 'menu': '[I]', 'kind': 'v', 'abbr': '_callable_cache = {} # Maps view and url pattern names to their view functions.'}, {'word': '_ns_resolver_cache', 'menu': '[I]', 'kind': 'v', 'abbr': '_ns_resolver_cache = {} # Maps namespaces to RegexURLResolver instances.'}, {'word': '_populate', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'def _populate(self):'}, {'word': '_prefixes', 'menu': '[I]', 'kind': 'v', 'abbr': '_prefixes = local()'}, {'word': '_resolve_special', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'def _resolve_special(self, view_type):'}, {'word': '_resolver_cache', 'menu': '[I]', 'kind': 'v', 'abbr': '_resolver_cache = {} # Maps URLconf modules to RegexURLResolver instances.'}, {'word': '_reverse_with_prefix', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'def _reverse_with_prefix(self, lookup_view, _prefix, *args, **kwargs):'}, {'word': '_urlconfs', 'menu': '[I]', 'kind': 'v', 'abbr': '_urlconfs = local()'}, {'word': 'add_prefix', 'menu': 'RegexURLPattern', 'kind': 'm', 'abbr': 'def add_prefix(self, prefix):'}, {'word': 'app_dict', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'def app_dict(self):'}, {'word': 'callback', 'menu': 'RegexURLPattern', 'kind': 'm', 'abbr': 'def callback(self):'}, {'word': 'clear_script_prefix', 'menu': '[I]', 'kind': 'f', 'abbr': 'def clear_script_prefix():'}, {'word': 'clear_url_caches', 'menu': '[I]', 'kind': 'f', 'abbr': 'def clear_url_caches():'}, {'word': 'get_callable', 'menu': '[I]', 'kind': 'f', 'abbr': 'def get_callable(lookup_view, can_fail=False):'}, {'word': 'get_mod_func', 'menu': '[I]', 'kind': 'f', 'abbr': 'def get_mod_func(callback):'}, {'word': 'get_ns_resolver', 'menu': '[I]', 'kind': 'f', 'abbr': 'def get_ns_resolver(ns_pattern, resolver):'}, {'word': 'get_resolver', 'menu': '[I]', 'kind': 'f', 'abbr': 'def get_resolver(urlconf):'}, {'word': 'get_script_prefix', 'menu': '[I]', 'kind': 'f', 'abbr': 'def get_script_prefix():'}, {'word': 'get_urlconf', 'menu': '[I]', 'kind': 'f', 'abbr': 'def get_urlconf(default=None):'}, {'word': 'is_valid_path', 'menu': '[I]', 'kind': 'f', 'abbr': 'def is_valid_path(path, urlconf=None):'}, {'word': 'namespace', 'menu': 'ResolverMatch', 'kind': 'm', 'abbr': 'def namespace(self):'}, {'word': 'namespace_dict', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'def namespace_dict(self):'}, {'word': 'regex', 'menu': 'LocaleRegexProvider', 'kind': 'm', 'abbr': 'def regex(self):'}, {'word': 'resolve', 'menu': 'RegexURLPattern', 'kind': 'm', 'abbr': 'def resolve(self, path):'}, {'word': 'resolve400', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'resolve400'}, {'word': 'resolve403', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'resolve403'}, {'word': 'resolve404', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'resolve404'}, {'word': 'resolve500', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'resolve500'}, {'word': 'reverse', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'def reverse(self, lookup_view, *args, **kwargs):'}, {'word': 'reverse_dict', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'def reverse_dict(self):'}, {'word': 'reverse_lazy', 'menu': '[I]', 'kind': 'v', 'abbr': 'reverse_lazy = lazy(reverse, str)'}, {'word': 'set_script_prefix', 'menu': '[I]', 'kind': 'f', 'abbr': 'def set_script_prefix(prefix):'}, {'word': 'set_urlconf', 'menu': '[I]', 'kind': 'f', 'abbr': 'def set_urlconf(urlconf_name):'}, {'word': 'url_patterns', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'def url_patterns(self):'}, {'word': 'urlconf_module', 'menu': 'RegexURLResolver', 'kind': 'm', 'abbr': 'def urlconf_module(self):'}, {'word': 'view_name', 'menu': 'ResolverMatch', 'kind': 'm', 'abbr': 'def view_name(self):'}]
| [
"pacifi.bnr@gmail.com"
] | pacifi.bnr@gmail.com |
460d5f0bfeac95517098e3c24993693ef5f06d93 | 2b52acc6141bb0d4716b7b1ad617e5302ece42b3 | /comentarios/api/viewsets.py | 47d41f1b3d4ab4337725d95e3c8a25d85f541c66 | [] | no_license | nayannanara/django-rest-framework | 4eb621c55ffd22f2d5e4ea55815552f03d099c5f | 6b2c8a6de091c4647b228bb19dd2ee536e4772bd | refs/heads/master | 2023-03-04T14:42:29.942526 | 2021-02-14T13:02:37 | 2021-02-14T13:02:37 | 321,846,045 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 261 | py | from rest_framework.viewsets import ModelViewSet
from comentarios.models import Comentario
from .serializers import ComentarioSerializer
class ComentarioViewSet(ModelViewSet):
queryset = Comentario.objects.all()
serializer_class = ComentarioSerializer | [
"nayanna501@gmail.com"
] | nayanna501@gmail.com |
c1f385635984be5f23fc87275477174408f7985e | 0f7718c7d4df241d6d4aa2638e265bd735f3761f | /python-client/test/test_recognize_request.py | d5ff6ac52b87fe00f2e73f50be0c31745e5fee92 | [] | no_license | jplaceres/Guardian | 9d0eca833b235b1c6cdd1e9f8524357aef0da375 | 74ecad9232b77e575350da4792986f1f5ec64aac | refs/heads/master | 2020-04-26T11:00:42.848546 | 2019-03-02T22:09:59 | 2019-03-02T22:09:59 | 173,502,415 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 881 | py | # coding: utf-8
"""
Betaface API 2.0
Betaface face recognition API. # noqa: E501
OpenAPI spec version: 2.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import swagger_client
from swagger_client.models.recognize_request import RecognizeRequest # noqa: E501
from swagger_client.rest import ApiException
class TestRecognizeRequest(unittest.TestCase):
"""RecognizeRequest unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testRecognizeRequest(self):
"""Test RecognizeRequest"""
# FIXME: construct object with mandatory attributes with example values
# model = swagger_client.models.recognize_request.RecognizeRequest() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| [
"33101350+jplaceres@users.noreply.github.com"
] | 33101350+jplaceres@users.noreply.github.com |
c2f8e0154349643a895fea833e2a1eeb7e25c897 | fdcbf5b203f07cceefbb38a746f4a43b322e263e | /Python/string_similarity/create_sample_data.py | 208b55446b99e6914b361cbdf673d639438ffb52 | [] | no_license | Masoumeh/0390.IbnAhmadMuqaddasi.AhsanTaqasim | e7a3eddc895edb79f8d93c1bd0f09f130a761858 | 592720e5a154fcfe9cdab84b16eaf5574f30b806 | refs/heads/master | 2021-01-18T00:36:09.962622 | 2017-11-07T13:13:46 | 2017-11-07T13:13:46 | 45,922,253 | 0 | 0 | null | 2015-11-10T15:49:02 | 2015-11-10T15:49:02 | null | UTF-8 | Python | false | false | 592 | py | import get_sttl_reg as gsr
import numpy as np
def write_sample_file(data_file, write_file):
muq_sttls = list(gsr.get_sttl(data_file))
sample_index = np.random.choice(1200, 100)
with open(write_file, 'w', encoding="utf8") as samples_file:
for i in sample_index:
sttl = muq_sttls[i]
print(sttl)
samples_file.write(sttl + "\n")
write_sample_file("/home/rostam/Arabic_Persian/LocalAlmoghaddasi/Data/Muqaddasi/muq_hier_all",
"/home/rostam/Arabic_Persian/LocalAlmoghaddasi/Data/Muqaddasi/string_similarity/sample_data") | [
"m.seydi@uni-leipzig.de"
] | m.seydi@uni-leipzig.de |
fb4b0789e6190cd6c3f1eb1a911363043e65006e | 587e2fc104a484c60aa2fab01c3cdc1d2a330778 | /Prozor/Prozor.py | dda495e85ca4e4ff7cb4a46a1f952e95dea47cf9 | [] | no_license | tlittle2/Kattis-Solutions-Python | 7b3c379f9b394b8b944377c1329332e483ccfcf3 | 92ed9987b81e3276d2a03252177f1f45b98388e4 | refs/heads/main | 2022-10-10T07:51:33.431519 | 2022-09-30T22:29:12 | 2022-09-30T22:29:12 | 216,254,189 | 0 | 2 | null | 2022-09-30T18:27:47 | 2019-10-19T18:42:47 | Python | UTF-8 | Python | false | false | 543 | py | #/usr/bin/env python3
import sys
def main():
rows,cols,rack= [int(x) for x in sys.stdin.readline().split()]
window=[]
for i in range(rows):
print(window.append(list(sys.stdin.readline().rstrip())))
count= 0
for i in range(rows-rack+1):
for j in range(cols-rack+1):
for k in range(i+1, i+rack-1):
count+=window[k][j+1: j+rack-1].count('*')
print(count)
for i in range(rows):
print(''.join(window[i]))
if __name__ == "__main__":
main() | [
"noreply@github.com"
] | tlittle2.noreply@github.com |
dbfefbd395ad03c04935a750e349e51e17f0f114 | 67758d0837e59828a6f522596268b90045ea309c | /02 skeleton_version/qt_import.py | d85715cac9c9add932f640d76bd770274f635462 | [] | no_license | mskoenz/workingTitle | e2009fa470493db1b2e601d7075c32a30d3dcc4e | a27e2a7dfa60bedc9f92c92d4b20b2cc3acaa8cf | refs/heads/master | 2020-05-18T03:41:39.205698 | 2012-01-22T21:45:47 | 2012-01-22T21:45:47 | 3,062,773 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 450 | py | #!/usr/bin/python3.2
# -*- coding: cp1252 -*-
#
# Author: Mario S. Könz <mskoenz@gmx.net>
# Date: 16.01.2012 17:36:09 CET
# File: qt_import.py
try:
from PySide.QtCore import *
from PySide.QtGui import *
print("PySide loaded")
except ImportError:
try:
from PyQt4.QtCore import *
from PyQt4.QtGui import *
print("PyQt4 loaded")
except ImportError:
print("Error: no PySide or PyQt4 Module")
| [
"mskoenz@gmx.net"
] | mskoenz@gmx.net |
2abcdea583720c1791f057a4c62c1b85df091afe | a3c662a5eda4e269a8c81c99e229879b946a76f6 | /.venv/lib/python3.7/site-packages/pylint/test/functional/cellvar_escaping_loop.py | 23c6b4b2e146d28a183c0aa82118e1869bef02e4 | [
"MIT"
] | permissive | ahmadreza-smdi/ms-shop | 0c29da82c58b243507575672bbc94fb6e8068aeb | 65ba3f3061e2ac5c63115b08dadfe7d67f645fb6 | refs/heads/master | 2023-04-27T19:51:34.858182 | 2019-11-24T20:57:59 | 2019-11-24T20:57:59 | 223,616,552 | 6 | 2 | MIT | 2023-04-21T20:51:21 | 2019-11-23T16:09:03 | Python | UTF-8 | Python | false | false | 2,472 | py | # pylint: disable=print-statement
"""Tests for loopvar-in-closure."""
from __future__ import print_function
def good_case():
"""No problems here."""
lst = []
for i in range(10):
lst.append(i)
def good_case2():
"""No problems here."""
return [i for i in range(10)]
def good_case3():
"""No problems here."""
lst = []
for i in range(10):
lst.append(lambda i=i: i)
def good_case4():
"""No problems here."""
lst = []
for i in range(10):
print(i)
lst.append(lambda i: i)
def good_case5():
"""No problems here."""
return (i for i in range(10))
def good_case6():
"""Accept use of the variable inside return."""
for i in range(10):
if i == 8:
return lambda: i
return lambda: -1
def good_case7():
"""Lambda defined and called in loop."""
for i in range(10):
print((lambda x: i + x)(1))
def good_case8():
"""Another eager binding of the cell variable."""
funs = []
for i in range(10):
def func(bound_i=i):
"""Ignore."""
return bound_i
funs.append(func)
return funs
def bad_case():
"""Closing over a loop variable."""
lst = []
for i in range(10):
print(i)
lst.append(lambda: i) # [cell-var-from-loop]
def bad_case2():
"""Closing over a loop variable."""
return [lambda: i for i in range(10)] # [cell-var-from-loop]
def bad_case3():
"""Closing over variable defined in loop."""
lst = []
for i in range(10):
j = i * i
lst.append(lambda: j) # [cell-var-from-loop]
return lst
def bad_case4():
"""Closing over variable defined in loop."""
lst = []
for i in range(10):
def nested():
"""Nested function."""
return i**2 # [cell-var-from-loop]
lst.append(nested)
return lst
def bad_case5():
"""Problematic case.
If this function is used as
>>> [x() for x in bad_case5()]
it behaves 'as expected', i.e. the result is range(10).
If it's used with
>>> lst = list(bad_case5())
>>> [x() for x in lst]
the result is [9] * 10 again.
"""
return (lambda: i for i in range(10)) # [cell-var-from-loop]
def bad_case6():
"""Closing over variable defined in loop."""
lst = []
for i, j in zip(range(10), range(10, 20)):
print(j)
lst.append(lambda: i) # [cell-var-from-loop]
return lst
| [
"ahmadreza.smdi@gmail.com"
] | ahmadreza.smdi@gmail.com |
6a318fbcc08879357f4b53da88f761a9ae7b1322 | f7c39a27d7b932523097e8379fe18b77d99efafd | /apps/reserva/apps.py | 2cd090ca175f5ab0e7ff3ccc919c7a518c51b7c5 | [] | no_license | francobostian/TpMetodologia | 8533ae01aa7ac07c75eca7cc45853f09a27a5772 | 755fc622f2186f17f976ea83e8c23265f284966e | refs/heads/master | 2020-04-05T18:38:14.770350 | 2018-11-16T04:57:14 | 2018-11-16T04:57:14 | 157,106,826 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 154 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.apps import AppConfig
class ReservaConfig(AppConfig):
name = 'reserva'
| [
"francobostian@gmail.com"
] | francobostian@gmail.com |
8927b66c17aba3be47ad44adf5e8be615f925b3b | 23dbbf39374e30ecf518e5646182e36cd7537f6c | /backend/src/entities/entity.py | c043f8fa10aeecdc10ff6cf226c0cf0bd1e21fde | [] | no_license | ashokpkumar/templat_application | 9c28824bf01ceb3d57bba01022139e70fdc79fba | 2b364d38cfea06b5845a75e6e639d2296763b75b | refs/heads/staging-master | 2023-03-27T08:20:39.455635 | 2021-03-25T15:24:45 | 2021-03-25T15:24:45 | 351,477,156 | 0 | 1 | null | 2021-03-30T13:21:22 | 2021-03-25T15:02:25 | Python | UTF-8 | Python | false | false | 770 | py | from datetime import datetime
from sqlalchemy import create_engine, Column, String, Integer, DateTime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
db_url = 'localhost:5432'
db_name = 'online-exam'
db_user = 'postgres'
db_password = '0NLIN3-ex4m'
engine = create_engine(f'postgresql://{db_user}:{db_password}@{db_url}/{db_name}')
Session = sessionmaker(bind=engine)
Base = declarative_base()
class Entity():
id = Column(Integer, primary_key=True)
created_at = Column(DateTime)
updated_at = Column(DateTime)
last_updated_by = Column(String)
def __init__(self, created_by):
self.created_at = datetime.now()
self.updated_at = datetime.now()
self.last_updated_by = created_by | [
"mani120488@gmail.com"
] | mani120488@gmail.com |
ccbf0df253c59c0acbdb7fd3a32f366274aff649 | 39e876928091892e371c2390d3787ed7e8846069 | /label_gui.py | 04f624ab110397861b165971a64061416720f573 | [] | no_license | IPavlak/Grayscale-CNN | 540ab5c28b3b48341070359ba6aa7519e1ed2578 | bc5e0e8f38e3bcc1669219600a330fe197265046 | refs/heads/master | 2020-07-28T05:08:57.633764 | 2019-10-03T11:47:12 | 2019-10-03T11:47:12 | 209,318,383 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,175 | py | import tkinter as tk
import numpy as np
from math import floor, ceil
red = 'NOT'
orange = 'NOT'
white = 'NOT'
txt_gui = None
exit_flag = False
def classify(ids):
global red, orange, white
args = ids.split(':')
if args[0] == 'red':
red = 'red -> ' + args[1]
elif args[0] == 'orange':
orange = 'orange -> ' + args[1]
elif args[0] == 'white':
white = 'white -> ' + args[1]
txt_gui.delete(1.0, tk.END)
txt_gui.insert(tk.CURRENT, red + " ||| " + orange + " ||| " + white)
def next_img(root):
global red, orange, white, exit_flag
red = 'NOT'
orange = 'NOT'
white = 'NOT'
exit_flag = True
root.destroy()
return
def save_img(root, base_path, file, rd, row_max, col_max, rect_rows, rect_cols):
global red, orange, white, exit_flag
if red == 'NOT' or orange == 'NOT' or white == 'NOT':
return
rd = np.pad(rd, ((rect_rows, rect_rows), (rect_cols, rect_cols)), mode='constant', constant_values=((0,0), (0,0)))
col_left = floor((rect_cols - 1) / 2)
col_right = ceil((rect_cols - 1) / 2)
row_down = ceil((rect_rows - 1) / 2)
row_up = floor((rect_rows - 1) / 2)
rect_red = rd[row_max[0]-row_down : row_max[0]+row_up+1, col_max[0]-col_left : col_max[0]+col_right+1] # array[start:stop+1]
rect_orange = rd[row_max[1]-row_down : row_max[1]+row_up+1, col_max[1]-col_left : col_max[1]+col_right+1] # array[start:stop+1]
rect_white = rd[row_max[2]-row_down : row_max[2]+row_up+1, col_max[2]-col_left : col_max[2]+col_right+1] # array[start:stop+1]
rect_red = np.reshape(rect_red, (rect_rows, rect_cols))
rect_orange = np.reshape(rect_orange, (rect_rows, rect_cols))
rect_white = np.reshape(rect_white, (rect_rows, rect_cols))
f = open(base_path + red[7:len(red)] + '/' + file[0:len(file)-4] + '_red.txt', 'w')
rect_red_array = np.asarray(rect_red)
np.savetxt(f, np.asarray([row_max[0], col_max[0]]), delimiter=',')
np.savetxt(f, rect_red_array, delimiter=',')
f.close()
f = open(base_path + orange[10:len(orange)] + '/' + file[0:len(file)-4] + '_orange.txt', 'w')
rect_orange_array = np.asarray(rect_orange)
np.savetxt(f, np.asarray([row_max[1], col_max[1]]), delimiter=',')
np.savetxt(f, rect_orange_array, delimiter=',')
f.close()
f = open(base_path + white[9:len(white)] + '/' + file[0:len(file)-4] + '_white.txt', 'w')
rect_white_array = np.asarray(rect_white)
np.savetxt(f, np.asarray([row_max[2], col_max[2]]), delimiter=',')
np.savetxt(f, rect_white_array, delimiter=',')
f.close()
red = 'NOT'
orange = 'NOT'
white = 'NOT'
exit_flag = True
root.destroy()
return
def run_gui(base_path, file, rd, row_max, col_max, rect_rows, rect_cols):
root = tk.Tk()
root.geometry("600x400+700+200") # size and placement of the gui window respectively
global exit_flag
exit_flag = False
man = tk.Button(master=root, text='man', command=lambda: classify('red:man'), bg='red').place(x=1, y=5, width=100, height=30)
car = tk.Button(master=root, text='car', command=lambda: classify('red:car'), bg='red').place(x=1, y=40, width=100, height=30)
nothing = tk.Button(master=root, text='nothing', command=lambda: classify('red:nothing'), bg='red').place(x=1, y=75, width=100, height=30)
wrong_man = tk.Button(master=root, text='wrong_man', command=lambda: classify('red:wrong_man'), bg='red').place(x=120, y=5, width=100, height=30)
wrong_car = tk.Button(master=root, text='wrong_car', command=lambda: classify('red:wrong_car'), bg='red').place(x=120, y=40, width=100, height=30)
garbage = tk.Button(master=root, text='garbage', command=lambda: classify('red:garbage'), bg='red').place(x=120, y=75, width=100, height=30)
man = tk.Button(master=root, text='man', command=lambda: classify('orange:man'), bg='orange').place(x=1, y=120, width=100, height=30)
car = tk.Button(master=root, text='car', command=lambda: classify('orange:car'), bg='orange').place(x=1, y=155, width=100, height=30)
nothing = tk.Button(master=root, text='nothing', command=lambda: classify('orange:nothing'), bg='orange').place(x=1, y=190, width=100, height=30)
wrong_man = tk.Button(master=root, text='wrong_man', command=lambda: classify('orange:wrong_man'), bg='orange').place(x=120, y=120, width=100, height=30)
wrong_car = tk.Button(master=root, text='wrong_car', command=lambda: classify('orange:wrong_car'), bg='orange').place(x=120, y=155, width=100, height=30)
garbage = tk.Button(master=root, text='garbage', command=lambda: classify('orange:garbage'), bg='orange').place(x=120, y=190, width=100, height=30)
man = tk.Button(master=root, text='man', command=lambda: classify('white:man'), bg='white').place(x=1, y=235, width=100, height=30)
car = tk.Button(master=root, text='car', command=lambda: classify('white:car'), bg='white').place(x=1, y=270, width=100, height=30)
nothing = tk.Button(master=root, text='nothing', command=lambda: classify('white:nothing'), bg='white').place(x=1, y=305, width=100, height=30)
wrong_man = tk.Button(master=root, text='wrong_man', command=lambda: classify('white:wrong_man'), bg='white').place(x=120, y=235, width=100, height=30)
wrong_car = tk.Button(master=root, text='wrong_car', command=lambda: classify('white:wrong_car'), bg='white').place(x=120, y=270, width=100, height=30)
garbage = tk.Button(master=root, text='garbage', command=lambda: classify('white:garbage'), bg='white').place(x=120, y=305, width=100, height=30)
global txt_gui
txt_gui = tk.Text(master=root, height=1, width=200, bg='#B4B4B4')
txt_gui.pack(side=tk.BOTTOM)
txt_gui.insert(tk.CURRENT, red + " ||| " + orange + " ||| " + white)
next = tk.Button(master=root, text = 'NEXT', command=lambda: save_img(root, base_path, file, rd, row_max, col_max, rect_rows, rect_cols), bg='green').place(x=450, y=135, width=90, height=60)
skip = tk.Button(master=root, text = 'SKIP', command=lambda: next_img(root), bg='grey').place(x=450, y=245, width=90, height=60)
while not exit_flag:
root.update_idletasks()
root.update() | [
"ivan.pavlak@fer.hr"
] | ivan.pavlak@fer.hr |
8b2e0a2780393df8d6d12b84da7e1d9a11670ab6 | 52ea21f0b6a2a994539bc900fa7b7d9c2278a3c4 | /RoboticFramework/Position/Position.py | 8fb2f2498970811e352cb1b4bb85d1dda72a9f29 | [] | no_license | dheerendra1/RobotNaturalLearning | 1b485a47a0deddaef55a6d8aa7bf0a4962478dcd | 036070f713008950f07c9e42a52fc55868b0c544 | refs/heads/master | 2020-12-24T18:13:04.871143 | 2011-10-23T14:59:21 | 2011-10-23T14:59:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 218 | py | #Abstract position class
# Author: Witold Wasilewski 2011
class Position:
_value = 0
type = "Abstract"
def __init__(self, value):
self._value = list(value)
def getValue(self):
return self._value | [
"vitotao@gmail.com"
] | vitotao@gmail.com |
415065eaf61d37a2964051f86901692df17d1bba | a96fffd451827146cbeeede4712e1ba23ea4147e | /lang/python/2016-05-19/exp6.py | 2d93f956b27bfb80455979e2e9c5058e94b73fd2 | [] | no_license | synchronized/gtd | 360f3a030fa5d3939c610e521886c65e960f01c9 | 7363de59d198fdb2b1f09a68c7d61f314c6d8d4e | refs/heads/master | 2023-06-24T09:09:36.702386 | 2023-06-12T02:16:36 | 2023-06-12T02:16:36 | 49,370,734 | 0 | 0 | null | 2023-02-25T04:24:05 | 2016-01-10T14:41:42 | C++ | UTF-8 | Python | false | false | 1,487 | py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import os
import pickle
class FileDescr(object):
saved = []
def __init__(self, name=None):
self.name = name
def __get__(self, obj, typ=None):
if self.name not in FileDescr.saved:
raise AttributeError, \
'%r used before assignment' % self.name
try:
f = open(self.name, 'r')
val = pickle.load(f)
f.close()
return val
except (pickle.InpicklingError, IOError,
EOFError, AttributeError,
ImportError, IndexError), e:
raise AttributeError, \
"could not read %r: %s" % self.name
def __set__(self, obj, val):
f = open(self.name, 'w')
try:
try:
pickle.dump(val, f)
FileDescr.saved.append(self.name)
except (TypeError, pickle.PicklingError), e:
raise AttributeError, \
"could not pickle %r" % self.name
finally:
f.close()
def __delete__(self, obj):
try:
os.unlink(self.name)
FileDescr.saved.remove(self.name)
except (OSError, ValueError), e:
pass
class MyFileVarClass(object):
foo = FileDescr('foo')
bar = FileDescr('bar')
def main():
fvc = MyFileVarClass()
fvc.foo = 42
fvc.bar = 'leanna'
print fvc.foo, fvc.bar
if __name__ == '__main__':
main()
| [
"synchronized@yeah.net"
] | synchronized@yeah.net |
ec6d7359acfe5f63e5d0a2082973529f08f8a5d4 | 52d41c97581dbbe2c559472722b73f6731837a2f | /pydron/translation/test_decomp.py | e638f20360e5569c2224fdf18b3bf0e805614099 | [
"MIT"
] | permissive | pydron/pydron | 89268bf215f436d701b7dee31d7538157ab53e00 | a7b484dec8bcc2730ba9bd76bc63bf3362c05e4d | refs/heads/master | 2020-04-06T06:53:23.800903 | 2016-04-14T11:41:33 | 2016-04-14T11:41:33 | 56,232,534 | 5 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,535 | py | # Copyright (C) 2014 Stefan C. Mueller
import unittest
from pydron.translation import utils, decomp
class TestDeComp(unittest.TestCase):
def test_list(self):
src = """
def test():
return [x for x in lst]
"""
expected = """
def test():
return [x for x in lst]
"""
utils.compare(src, expected, decomp.DeComp)
def test_set(self):
src = """
def test():
return {x for x in lst}
"""
expected = """
def test():
return set([x for x in lst])
"""
utils.compare(src, expected, decomp.DeComp)
def test_dict(self):
src = """
def test():
return {k:v for k,v in lst}
"""
expected = """
def test():
return dict([(k,v) for k,v in lst])
"""
utils.compare(src, expected, decomp.DeComp)
def test_set_nested_list(self):
src = """
def test():
return {x for x in {y for y in lst}}
"""
expected = """
def test():
return set([x for x in set([y for y in lst])])
"""
utils.compare(src, expected, decomp.DeComp)
def test_set_nested_elt(self):
src = """
def test():
return {{y for y in x} for x in lst}
"""
expected = """
def test():
return set([set([y for y in x]) for x in lst])
"""
utils.compare(src, expected, decomp.DeComp)
| [
"scm@smurn.org"
] | scm@smurn.org |
56a18ea38a3756bc399bf2e1e0c3ead7ee5d5c06 | 3c158b18fd706a8732c8b2f70ad57bc4328ec23b | /pyAlertGen.py | 649532e666ba821d67cbaae98113261befeb8e5f | [
"MIT"
] | permissive | LavheyM/tkinter_base_template | 19059e1d52780dca34e9dbfc84583d777b9f8d93 | db7ead4c1f0448a7eefb2117eed083f85933702f | refs/heads/master | 2020-07-01T18:16:59.615846 | 2019-08-08T13:03:26 | 2019-08-08T13:03:26 | 201,252,807 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 765 | py | import tkinter as tk
class Application(tk.Frame):
def __init__(self, master=None):
super().__init__(master)
self.master = master
master.title("Python Link Generator v.01")
master.geometry("425x175")
self.grid()
self.create_widgets()
def create_widgets(self):
self.button1 = tk.Button(self)
self.button1["text"] = "Button1"
self.button1["command"] = self.button1_output
#self.button1.pack(side="top")
self.quit = tk.Button(self, text="Quit", fg="red",
command=self.master.destroy)
#self.quit.pack(side="bottom")
def button1_output(self):
pass
root = tk.Tk()
app = Application(master=root)
app.mainloop()
| [
"40267291+LavheyM@users.noreply.github.com"
] | 40267291+LavheyM@users.noreply.github.com |
e7db50b5124ba11c9c8bdc76de58e831dc27f3d3 | 9c7cb29490635e373fbc50d0784a67804eb52b94 | /operationstesting.py | d0deb91b0a9850e6b6ea79d9d7a98312c50e3613 | [] | no_license | siddharthsubramaniam1996/sensiblepythoncode | 42d98c635492a912295e202bdc9acd3a440f1e78 | 3501300935d615b02f3272748572eb2fc869e33f | refs/heads/master | 2021-06-29T20:38:41.762966 | 2021-01-06T13:43:56 | 2021-01-06T13:43:56 | 197,215,857 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,690 | py | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 29 19:47:18 2019
@author: SIDDHARTH
"""
import numpy as np
L=np.array([3,4,5])
N=np.array([3,4,5],np.int32)
print(L)
print(N)
print(L*N)
print(N*3)
print(L+L)
print(N+N)
O=np.array([2,4,6,8])
print(O)
P=np.array([[2],[4],[6]])
print(P)
Q=np.array([[1,2,3,4],[5,1,7,8]])
print(Q)
R=np.zeros([1,6],dtype=int,order='C')
print("\nMatrix R: \n", R)
R[0][3]=15
R[0][5]=25
print("Result",R)
S=np.arange(13,25).reshape(3,4)
print (S)
A=np.arange(10,100,10)
print("\n\tA IS: \n")
print(A)
B=np.arange(0,16).reshape(4,4)
print("\n\tB IS: \n")
print(B)
print("\n\tCut1 0:2,1:3 \n")
C1=B[0:2,1:3]
print(C1)
print("\n\tCut2 2:6:3 \n")
C2=A[2:6:3] #start stop jump
print(C2)
print("\n\tCut3 -1:-3 \n")
C3=A[-1:-3]
print(C3)
print("\n\tCut4 :-1 \n")
C4=B[:-1]
print(C4)
print("\n\tCut5 :-1 \n")
C5=B[:3, 2:]
print(C5)
print("\n\tCut6 :-1 \n")
C6=B[-3,6:2:-1]
print(C6)
print("\n\tConcat 1 \n")
c7=np.array([1,2,3])
c8=np.array([3,2,1])
z=np.concatenate([c7,c8])
print(z)
print("\n\tConcat 2 (axis =0) \n")
grid=np.array([[1,2,3],[4,5,6]])
G2=np.concatenate([grid,grid], axis=None)
print(G2)
print("\n\tConcat 3 (axis =1) \n")
grid=np.array([[1,2,3],[4,5,6]])
G3=np.concatenate([grid,grid], axis=1)
print(G3)
print("\n\tvstack \n")
x=np.array([1,2,3])
g=np.array([[9,8,7],[6,5,4]])
R=np.vstack([x,g])
print(R)
print("\n\t hstack \n")
g1=np.array([[9,8,7],[6,5,4]])
y=np.array([[99],[99]])
R1=np.hstack([g,y])
print(R1)
print("\n\t split \n")
x=[1,2,3,99,99,3,2,1]
x1, x2, x3=np.split(x, [3,5])
print("\nx1:",x1, "\nx2:",x2,"\nx3:",x3)
| [
"noreply@github.com"
] | siddharthsubramaniam1996.noreply@github.com |
e252c6bc189d98d40c6b3adf034ba673d18893f3 | 86091c60ceb6582768ba9fd24d6e7dd00dfcffec | /giggleliu/tba/hgen/utils.py | 0fd01de5fe07f940fd21483053463e4e95178f2b | [
"MIT"
] | permissive | Lynn-015/NJU_DMRG | 8d6167ab26c571b81ca1bdbfe7c7ffb9dccac7ea | 88be712b2d17603f7a3c38836dabe8dbdee2aba3 | refs/heads/master | 2020-04-05T19:00:54.364285 | 2016-12-10T09:33:20 | 2016-12-10T09:33:20 | 44,971,751 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,762 | py | '''
Author: Giggle Leo
Date : 8 September 2014
Description : physics library
'''
from numpy import *
from numpy.linalg import *
from matplotlib.pyplot import *
import scipy.sparse as sps
import pdb,time
__all__=['sx','sy','sz','s','H2G','s2vec','vec2s','ind2c','c2ind']
############################ DEFINITIONS ##############################
# pauli spin
sx = array([[0, 1],[ 1, 0]])
sy = array([[0, -1j],[1j, 0]])
sz = array([[1, 0],[0, -1]])
s=[identity(2),sx,sy,sz]
############################ FUNCTIONS ##############################
def H2G(h,w,tp='r',geta=1e-2,sigma=None):
'''
Get Green's function g from Hamiltonian h.
h:
an array of hamiltonian.
w:
the energy(frequency).
tp:
the type of Green's function.
'r': retarded Green's function.(default)
'a': advanced Green's function.
'matsu': finite temperature Green's function.
geta:
smearing factor. default is 1e-2.
sigma:
additional self energy.
*return*:
a Green's function.
'''
if tp=='r':
z=w+1j*geta
elif tp=='a':
z=w-1j*geta
elif tp=='matsu':
z=1j*w
if sigma!=None:
h=h+sigma
hdim=ndim(h)
if hdim>0:
return inv(z*identity(h.shape[-1])-h)
else:
return 1./(z-h)
def s2vec(s):
'''
Transform a spin to a 4 dimensional vector, corresponding to s0,sx,sy,sz component.
s:
the spin.
'''
res=array([trace(s),trace(dot(sx,s)),trace(dot(sy,s)),trace(dot(sz,s))])/2
return res
def vec2s(n):
'''
Transform a vector of length 3 or 4 to a pauli matrix.
n:
a 1-D array of length 3 or 4 to specify the `direction` of spin.
*return*:
2 x 2 matrix.
'''
if len(n)<=3:
res=zeros([2,2],dtype='complex128')
for i in xrange(len(n)):
res+=s[i+1]*n[i]
return res
elif len(n)==4:
return identity(2)*n[0]+sx*n[1]+sy*n[2]+sz*n[3]
else:
raise Exception('length of vector %s too large.'%len(n))
def c2ind(c,N):
'''
Get the index of the total space N from the index of the subspace exression (n1 x n2 x n3...)
c:
a list of indexes like [i,j,k,...]
N:
the space config [n1,n2,n3...].
'''
n=c.shape[-1]
cc=c[...,0]
for i in xrange(n-1):
cc=cc*N[i+1]+c[...,i+1]
return cc
def ind2c(ind,N):
'''
Get the index of the index of the subspace from the total space N.
ind:
the index of total space.
N:
the space config [n1,n2,n3...].
'''
dim=len(N)
indl=ndarray(list(shape(ind))+[dim],dtype='int32')
for i in xrange(dim):
indl[...,-1-i]=ind%N[-1-i]
ind=ind/N[-1-i]
return indl
| [
"lynn_015@outlook.com"
] | lynn_015@outlook.com |
6e480ff6a021a328c9c46edcbb4326f0509dfa29 | 984b125ae0b6094c1f05e0d6045bc9e3e1ca8b49 | /html/v0.2/image/survey_example.py | 0d019fdac15de4d6abf97c3d56e39e4c764698ae | [] | no_license | cdeil/gammapy-docs-rtd-archive | 6a171322239ae918d4814a792cb64922226435a6 | f28c7a480a66f6189d73e909967acfc8722d63f0 | refs/heads/master | 2021-05-11T02:22:18.826834 | 2018-01-21T17:38:04 | 2018-01-21T17:38:04 | 118,354,235 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 651 | py | """Plot a Galactic plane survey image in two panels."""
from aplpy import FITSFigure
from gammapy.datasets import FermiGalacticCenter
from gammapy.image import GalacticPlaneSurveyPanelPlot
class GPSFermiPlot(GalacticPlaneSurveyPanelPlot):
def main(self, figure, subplot):
filename = FermiGalacticCenter.filenames()['counts']
self.fits_figure = FITSFigure(filename, figure=figure, subplot=subplot)
self.fits_figure.show_colorscale(vmin=1, vmax=10)
self.fits_figure.ticks.set_xspacing(2)
plot = GPSFermiPlot(npanels=3, center=(0, 0), fov=(30, 3))
plot.draw_panels('all')
plot.figure.savefig('survey_example.png')
| [
"Deil.Christoph@gmail.com"
] | Deil.Christoph@gmail.com |
95b7635b1536790811d098d8565b00f3acc36710 | 879bebb89d30aac73e0cb3afb1412efdf51bcc11 | /unum_config.py | 7b64079f2218c39205f4b64d1a2aae600d25bac6 | [] | no_license | jrmuizel/pyunum | d8247caf55757742dc8731d5353651e9c35b481d | c99c3eea3ffb5d235dd24426dcedf107af8091cf | refs/heads/master | 2023-09-04T03:14:36.570175 | 2016-04-27T17:25:16 | 2016-04-27T17:25:16 | 34,972,849 | 57 | 14 | null | 2016-03-21T17:07:06 | 2015-05-03T03:48:16 | Python | UTF-8 | Python | false | false | 12 | py | e = 3
f = 4
| [
"jmuizelaar@mozilla.com"
] | jmuizelaar@mozilla.com |
a96d4d582ea9213d45d349e10c8139dd57e26a65 | ae5f69089c0e792c913fa86f36d923cd60b47e51 | /tests/test_insert.py | b206926a111e92e3a1620dbcb2831cb5cb91e949 | [
"MIT"
] | permissive | kenchensb/sqllineage | ca930a222f3fd8d57195270bd6d5037359d06381 | 43da1348d2589ade519291630d1abb48042c6b99 | refs/heads/master | 2023-05-26T23:17:19.391680 | 2021-06-14T11:42:50 | 2021-06-14T11:42:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,177 | py | from .helpers import helper
def test_insert_into():
helper("INSERT INTO tab1 VALUES (1, 2)", set(), {"tab1"})
def test_insert_into_with_keyword_table():
helper("INSERT INTO TABLE tab1 VALUES (1, 2)", set(), {"tab1"})
def test_insert_into_with_columns():
helper("INSERT INTO tab1 (col1, col2) SELECT * FROM tab2;", {"tab2"}, {"tab1"})
def test_insert_into_with_columns_and_select():
helper("INSERT INTO tab1 (col1, col2) SELECT * FROM tab2", {"tab2"}, {"tab1"})
def test_insert_into_with_columns_and_select_union():
helper(
"INSERT INTO tab1 (col1, col2) SELECT * FROM tab2 UNION SELECT * FROM tab3",
{"tab2", "tab3"},
{"tab1"},
)
def test_insert_into_partitions():
helper(
"INSERT INTO TABLE tab1 PARTITION (par1=1) SELECT * FROM tab2",
{"tab2"},
{"tab1"},
)
def test_insert_overwrite():
helper("INSERT OVERWRITE tab1 SELECT * FROM tab2", {"tab2"}, {"tab1"})
def test_insert_overwrite_with_keyword_table():
helper("INSERT OVERWRITE TABLE tab1 SELECT col1 FROM tab2", {"tab2"}, {"tab1"})
def test_insert_overwrite_values():
helper(
"INSERT OVERWRITE tab1 VALUES ('val1', 'val2'), ('val3', 'val4')", {}, {"tab1"}
)
def test_insert_overwrite_from_self():
helper(
"""INSERT OVERWRITE TABLE tab_1
SELECT tab2.col_a from tab_2
JOIN tab_1
ON tab_1.col_a = tab_2.cola""",
{"tab_1", "tab_2"},
{"tab_1"},
)
def test_with_insert():
helper(
"WITH tab1 AS (SELECT * FROM tab2) INSERT INTO tab3 SELECT * FROM tab1",
{"tab2"},
{"tab3"},
)
def test_with_insert_overwrite():
helper(
"WITH tab1 AS (SELECT * FROM tab2) INSERT OVERWRITE tab3 SELECT * FROM tab1",
{"tab2"},
{"tab3"},
)
def test_with_insert_plus_keyword_table():
helper(
"WITH tab1 AS (SELECT * FROM tab2) INSERT INTO TABLE tab3 SELECT * FROM tab1",
{"tab2"},
{"tab3"},
)
def test_with_insert_overwrite_plus_keyword_table():
helper(
"WITH tab1 AS (SELECT * FROM tab2) INSERT OVERWRITE TABLE tab3 SELECT * FROM tab1",
{"tab2"},
{"tab3"},
)
| [
"noreply@github.com"
] | kenchensb.noreply@github.com |
cdbbf6f97cfad02fde41b96e3addd353a035e946 | c4a0ee5346d464fa4f9c7b6c93a627c5be60bbff | /scripts/WalkExp.py | 85cec9fc1b3dd241183c42d2198342e769970f66 | [] | no_license | s91402001/quadruped_control | f12dbb559cc3c91f64fa4aab83b0ee2966237879 | 680abd7cae854cea83028d82945ac6a20fedfba1 | refs/heads/master | 2021-01-19T03:19:40.119697 | 2016-07-09T10:41:36 | 2016-07-09T10:41:36 | 48,423,532 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,182 | py | #!/usr/bin/env python
import rospy
from math import cos
from math import fabs
import time
import RobotFuncs
from std_msgs.msg import Float32
from geometry_msgs.msg import Point
from quadruped_control.msg import MotorAngles
iniTime =0
leg1th1,leg1th2,leg2th1,leg2th2 ,leg3th1,leg3th2,leg4th1,leg4th2 = 90,0,-90,0,90,0,-90,0
LeftH = 0.04
RightH = 0.04
LeftL = 0.06
RightL = 0.06
deltaLmax = 0.05
Orientation = 0.0
desiredOrientation =0.0
Ta = 0.4
Td = 0.8
ptd = [-0.02,-0.15]
ptd1 = [0.02,-0.15]
isStop = False
isTurn = False
State = 1
def RightHCallback(data):
global RightH
RightH = RightH + round(data.data,3)
print data.data
def LeftHCallback(data):
global LeftH
LeftH = LeftH + round(data.data,3)
print data.data
def LeftLCallback(data):
global LeftL
LeftL = LeftL + round(data.data,3)
print data.data
def RightLCallback(data):
global RightL
RightL = RightL + round(data.data,3)
print data.data
def TaCallback(data):
global Ta
Ta = Ta + round(data.data,1)
print data.data
def TdCallback(data):
global Td
Td = Td + round(data.data,1)
print data.data
def ptdxCallback(data):
global ptd
ptd[0] = ptd[0] + round(data.data,3)
print data.data
def ptdyCallback(data):
global ptd
ptd[1] = ptd[1] + round(data.data,3)
print data.data
def ptd1xCallback(data):
global ptd1
ptd1[0] = ptd1[0] + round(data.data,3)
print data.data
def ptd1yCallback(data):
global ptd1
ptd1[1] = ptd1[1] + round(data.data,3)
print data.data
def isStopCallback(data):
global isStop
isStop = not isStop
print data.data
def isTurnCallback(data):
global isTurn
print data.data
def OrientationCallback(data):
global Orientation
Orientation = data.x
print data.x
print Orientation
def desiredOrientationCallback(data):
global desiredOrientation
desiredOrientaion = data.data
print data.data
def MainProssece():
global leg1th1,leg1th2,leg2th1,leg2th2 ,leg3th1,leg3th2,leg4th1,leg4th2
global iniTime,LeftH,RightH,LeftL,RightL,Ta,Td
global ptd,ptd1
global deltaLmax,Orientation,desiredOrientation
pub1 = rospy.Publisher('MotorSetpoint', MotorAngles, queue_size=1024)
rospy.init_node('reference')
rospy.Subscriber("LeftH", Float32, LeftHCallback)
rospy.Subscriber("RightH", Float32, RightHCallback)
rospy.Subscriber("LeftL", Float32, LeftLCallback)
rospy.Subscriber("RightL", Float32, RightLCallback)
rospy.Subscriber("Ta", Float32, TaCallback)
rospy.Subscriber("Td", Float32, TdCallback)
rospy.Subscriber("ptdx", Float32, ptdxCallback)
rospy.Subscriber("ptdy", Float32, ptdyCallback)
rospy.Subscriber("ptd1x", Float32, ptd1xCallback)
rospy.Subscriber("ptd1y", Float32, ptd1yCallback)
rospy.Subscriber("isStop", Float32, isStopCallback)
rospy.Subscriber("BodyOrientation", Point, OrientationCallback)
angles = MotorAngles()
rate = rospy.Rate(50) # 10hz
while not rospy.is_shutdown():
if iniTime ==0:
iniTime = time.time()
t = time.time() -iniTime
if t <=5:
global Orientation
leg1th1,leg1th2,leg2th1,leg2th2 ,leg3th1,leg3th2,leg4th1,leg4th2 = 90,0,-90,0,90,0,-90,0
#rospy.loginfo("t = %s"%t)
print ("t = %s"%t)
print("Orientation = %s"%Orientation)
elif t >5 and t <15:
print ("t = %s"%t)
x1 = 0
x2 = 0
x3 = 0
x4 = 0
y1 = -0.16
y2 = -0.16
y3 = -0.16
y4 = -0.16
leg1th1_des,leg1th2_des,leg2th1_des,leg2th2_des ,leg3th1_des,leg3th2_des,leg4th1_des,leg4th2_des = RobotFuncs.actualReference(x1,y1,x2,y2,x3,y3,x4,y4)
tt =t-5
leg1th1 = 90 + (leg1th1_des-90)*tt/10
leg2th1 = -90 + (leg2th1_des+90)*tt/10
leg3th1 = 90 + (leg3th1_des-90)*tt/10
leg4th1 = -90 + (leg4th1_des+90)*tt/10
leg1th2 = leg1th2_des*tt*0/10
leg2th2 = leg2th2_des*tt*0/10
leg3th2 = leg3th2_des*tt*0/10
leg4th2 = leg4th2_des*tt*0/10
else :
if (fabs(desiredOrientation-Orientation)) > 5:
deltaL = (deltaLmax/fabs(desiredOrientation-Orientation))*(desiredOrientation-Orientation)
print("deltaL 1=%s"%deltaL)
else:
deltaL = deltaLmax*(desiredOrientation-Orientation)/5.0
#print("deltaL =%s"%deltaL)
print("delta =%s"%(desiredOrientation-Orientation))
leg1th1,leg1th2,leg2th1,leg2th2 ,leg3th1,leg3th2,leg4th1,leg4th2 = RobotFuncs.generateRemoteCommand(ptd,ptd1,LeftH,RightH,LeftL+deltaL,RightL-deltaL,Ta,Td,t)
#rospy.loginfo("Reference : %s,\r\n%s,\t%s,\t%s,\t%s,\r\n%s,\t%s,\t%s,\t%s\r\n"%(t,leg1th1,leg1th2,leg2th1,leg2th2 ,leg3th1,leg3th2,leg4th1,leg4th2))
print("t = %s\r\nReference : %s,\t%s,\t%s,\t%s,\r\n%s,\t%s,\t%s,\t%s\r\n"
%(t,leg1th1,leg1th2,leg2th1,leg2th2 ,leg3th1,leg3th2,leg4th1,leg4th2))
print("Right H = %s Left H = %s Right L = %s Left L = %s Ta = %s Td = %s ptd = %s ptd1 = %s isStop = %s"
%(RightH,LeftH,RightL-deltaL,LeftL+deltaL,Ta,Td,ptd,ptd1,isStop))
#outFile = open('ExpData.txt','a')
#outFile.write(str(t)+'\t'+str(Orientation)+'\t'+str(desiredOrientation)+'\r\n')
angles.ang1 = leg1th1
angles.ang2 = leg2th1
angles.ang3 = leg3th1
angles.ang4 = leg4th1
angles.ang5 = leg1th2
angles.ang6 = leg2th2
angles.ang7 = leg3th2
angles.ang8 = leg4th2
pub1.publish(angles)
rate.sleep()
if __name__ == '__main__':
try:
MainProssece()
except rospy.ROSInterruptException:
pass
| [
"s91402001@gmail.com"
] | s91402001@gmail.com |
59cea2eb429009357563209061045b12a57395ed | dfb6a80dda5882a1c2be87b0b6e1e7a87a7b4c20 | /test/test_device_type_array.py | 07275f3238e36a65bc16075787c2dbfcab27855e | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | artikcloud/artikcloud-python | a090201bea9fadbdf5dd57d94d9085b03b34f927 | c5489b2fca27fd9a8bcea99f309e02cb690dd349 | refs/heads/master | 2020-12-26T03:33:00.657575 | 2017-12-28T20:40:05 | 2017-12-28T20:40:05 | 55,102,598 | 13 | 11 | null | 2017-03-18T03:22:58 | 2016-03-30T22:38:07 | Python | UTF-8 | Python | false | false | 835 | py | # coding: utf-8
"""
ARTIK Cloud API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: 2.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import os
import sys
import unittest
import artikcloud
from artikcloud.rest import ApiException
from artikcloud.models.device_type_array import DeviceTypeArray
class TestDeviceTypeArray(unittest.TestCase):
""" DeviceTypeArray unit test stubs """
def setUp(self):
pass
def tearDown(self):
pass
def testDeviceTypeArray(self):
"""
Test DeviceTypeArray
"""
model = artikcloud.models.device_type_array.DeviceTypeArray()
if __name__ == '__main__':
unittest.main()
| [
"jswattonjue@gmail.com"
] | jswattonjue@gmail.com |
6213143d37b701cddc3bd02ad04ead4730648dd3 | fb0ddefaa2fec8b80b5f0d5f27eb201703e8599c | /Days/day15/binary.py | 3ccec95ecf0594968af3e215ce3fa192319c9596 | [] | no_license | hamidihekmat/Programming-Practice | faa10e8277bc6da3f413b35565b66a8e489f3064 | 2119357634482ca3c73de28818b9a6b4fa34a6cf | refs/heads/master | 2020-07-13T12:00:10.223812 | 2019-10-04T18:37:08 | 2019-10-04T18:37:08 | 205,078,317 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 153 | py |
def binary(int):
binary = ''
while int!=0:
int = int / 2
binary += str(int % 2)
return binary[::-1]
print(binary(255))
| [
"theonehamidi@gmail.com"
] | theonehamidi@gmail.com |
7c47f7283c0da28dbf4eba399cb9ca36e5cde1f3 | 045a9da06ded1a2dd0311fcf34e4859e3934e2cd | /venv/Scripts/easy_install-script.py | 5af263c5515d492ee2298fa0f2c59b34513af1b5 | [] | no_license | testestzxcv/analysis_pd_test | 48479a874d3234abf23babd251338b11ce4e1a57 | 92721655a843ed236262b9cdb3d5fa0e74f646fe | refs/heads/master | 2020-03-20T09:10:26.664473 | 2018-06-14T08:36:49 | 2018-06-14T08:36:49 | 137,330,159 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 447 | py | #!D:\PycharmProjects\analysis_pd_test\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==39.1.0','console_scripts','easy_install'
__requires__ = 'setuptools==39.1.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('setuptools==39.1.0', 'console_scripts', 'easy_install')()
)
| [
"illuillu55@hotmail.com"
] | illuillu55@hotmail.com |
3cff6193ecc1eec7bc14e4e3012916d09dd0ce96 | ac9ee909a8a9c546781450e2145210e86c0dfe2f | /LoginAuthentication-Django-main/Login/models.py | 0e3dc7c12a0fe6693c02a69459685d9afdb77a81 | [] | no_license | Florencekyarikunda/LoginAuthenticationForm-Django | 79d054245d1a894362f968faf640eb040781c2e3 | 81584a8aa6c70c7099cf2b69489cb3dda48d8959 | refs/heads/master | 2023-07-04T02:27:38.698137 | 2021-08-09T09:09:09 | 2021-08-09T09:09:09 | 394,226,273 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 473 | py | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Profile(models.Model):
# Making one to one relationship with User model of Django
user = models.OneToOneField(User, on_delete=models.CASCADE)
auth_token = models.CharField(max_length=100)
verified = models.BooleanField(default=False)
created_at = models.DateTimeField(auto_now_add=True)
def __str__(self):
return self.user.username
| [
"florencekyarikund@gmail.com"
] | florencekyarikund@gmail.com |
dfcfba24d132a9c9a4b8646a52c480b1b175bf15 | fa11c4d0fd4ddac2afd4387d4c58704fde19723c | /sample.py | 2bd2f48c52fa4ee031de62de9cf1bb9adbf01c44 | [] | no_license | rrakesh100/sample-django | 4aad071f7e27458a5aa637233204ccddf5a45196 | 735d8a8c0221c2d471f2cddd6eb15475c6c8bc75 | refs/heads/master | 2020-07-18T20:19:20.832880 | 2019-09-04T11:46:54 | 2019-09-04T11:46:54 | 206,306,346 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 192 | py | import os;
import sys;
print(os.path.dirname(__file__))
print(os.path.basename(__file__))
print(os.path.abspath(__file__))
print(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
| [
"rakesh.rampalli@bigbasket.com"
] | rakesh.rampalli@bigbasket.com |
1bae556d02178233cda63a9813e54edbab64a307 | 560022b5f21c4b7c086547e6cf2d72351c5d87fd | /crm/crm/urls.py | e0b1d521f504acd8ff9e1ae07732ecf307cac586 | [] | no_license | novice-gamer/crmself | 5999667389a7ff5ba6002bcb8aa1fb6f2d03cdc4 | e9d894c4a3be52983da8dc8359126fdccd42a88c | refs/heads/master | 2023-01-23T06:06:53.855973 | 2021-04-09T07:58:08 | 2021-04-09T07:58:08 | 216,338,411 | 0 | 0 | null | 2023-01-11T19:54:53 | 2019-10-20T09:40:03 | HTML | UTF-8 | Python | false | false | 835 | py | """crm URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.pulgin, name='pulgin')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: url(r'^$', Home.as_view(), name='pulgin')
Including another URLconf
1. Import the include() function: from django.conf.urls import url, include
2. Add a URL to urlpatterns: url(r'^blog/', include('blog.urls'))
"""
from django.conf.urls import url,include
from django.contrib import admin
urlpatterns = [
url(r'^admin/', admin.site.urls),
url(r'^user/',include('user.urls',namespace='user') ),
]
| [
"17611236100@163.com"
] | 17611236100@163.com |
d6cb57d8f74d7f6693fe814df163f7f5c7925053 | fcbe8723526462b85a13310b9d1d1c466d10710f | /bot.py | 3cab40dc00322cfae1f29352f16d8843b75f485f | [
"MIT"
] | permissive | hectorRod101/Instagram_Bot | e7fa88a48649ae652030ef69677efcbbf129888c | cd6b10fa7bf9bdd7b87fbf03a33892e020b6e8e5 | refs/heads/main | 2023-01-11T00:40:57.297461 | 2020-11-05T20:08:11 | 2020-11-05T20:08:11 | 310,380,221 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,379 | py | # Created By: Hector Rodriguez
from selenium.webdriver.common.by import By
from selenium import webdriver
import os, time, sys
import bot_functions as bf
class InstagramBot:
def __init__(self, username = None, password = None):
"""Initialize parameters for Instagram login."""
self.username = username
self.password = password
self.driver = webdriver.Chrome(executable_path='/Users/hectorrodriguez/Desktop/instaBot/chromedriver')
def sign_up(self):
"""Bot for signing up for Instagram."""
self.driver.get('https://www.instagram.com/accounts/emailsignup/')
def log_in(self):
"""Bot to log onto instagram with valid credits."""
print("Logging in.........")
self.driver.get('https://www.instagram.com/accounts/login/')
time.sleep(1) # pause
self.driver.find_element_by_xpath("//input[@name='username']").send_keys(self.username)
self.driver.find_element_by_xpath("//input[@name='password']").send_keys(self.password)
time.sleep(1) # pause
self.driver.find_element_by_xpath("//button[contains(.,'Log In')]").click()
time.sleep(5) # pause
print("Successfully logged in.\n")
def save_info(self):
"""When save info appears onto screen."""
print("Save info screen.")
if self.driver.find_element_by_xpath("//button[contains(.,'Not Now')]"):
self.driver.find_element_by_xpath("//button[contains(.,'Not Now')]").click()
if __name__ == '__main__':
home = True
# Set loop for menu.
while home:
# Check main menu bot options.
val = bf.menu()
# Check if it's a valid option.
val, home = bf.check_option(val, home)
# If valid option, run option.
if not home:
bot = bf.menu_selection(val, bf)
home_log_in = True
# Set loop for log in menu.
while home_log_in:
# Check login in menu bot options.
val2 = bf.menu_log_in()
# Check if it's a valid option.
val2, home_log_in = bf.check_option_log_in(val2, home_log_in)
# If valid option, run option.
if not home_log_in and val2 != 5:
home_log_in = True
bf.menu_selection_log_in(val2, bf, bot.driver)
elif val2 == 5:
# Option log out.
bf.log_out(bf, bot.driver)
| [
"hectorrodriguez@Hectors-MacBook-Pro.local"
] | hectorrodriguez@Hectors-MacBook-Pro.local |
71873742c0d28828c53b56ee54deb2d0f76bef90 | c384c1f8062f01a6a343e4aad7fcd231a906dbf5 | /python/Count the point V1.py | 8755e096c7dd20fc5a9cbc5022e7ff3fd70538b0 | [] | no_license | RawitSHIE/Algorithms-Training-Python | b9bf95ccc7b3974de78f290492d646679d05ae4b | 02ba71f88d18e48b35046564fe6f61911db31ac4 | refs/heads/master | 2021-03-24T12:34:02.101117 | 2017-12-10T14:15:40 | 2017-12-10T14:15:40 | 109,127,600 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 288 | py | """Count the point V.1"""
def main():
"""Count the point V.1"""
time = int(input())
for _ in range(time):
point = list(input())
if "." in point:
num = point.index(".")
print(len(point[num+1:]))
else:
print(0)
main()
| [
"Rawitgun@gmail.com"
] | Rawitgun@gmail.com |
d4e66bfa17d1e1f19eb7b0ce1c189b1d70480b0d | 245c492894a82b986d6cfcc4a2a519f08989a251 | /present_k.py | d6d274d307a476b97c7fd8e12ae62fd383d53a11 | [] | no_license | muthuramasamy/Player | bb20db14d787a6a8c514437a4a3e11a6a84f5273 | 11bdae8d84c980ef3d204d45f7a3a3fd480561c0 | refs/heads/master | 2020-04-18T18:09:59.563987 | 2019-02-18T13:38:26 | 2019-02-18T13:38:26 | 167,676,089 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 178 | py | # your code goes here
n,k=map(int,input().split())
li=list(map(int,input().split()))
f=0
for i in li:
if i==k:
f=1
else:
continue
if f==1:
print("Yes")
else:
print("No")
| [
"noreply@github.com"
] | muthuramasamy.noreply@github.com |
b46aa02ab19cc27d82be37ad53921de0c0e5dbe6 | f912049e661c163ac3db8ab8358df8da4c8f9fce | /common/auth.py | 936f3f54a315b58a45134cc8df6a543285c2bc3f | [] | no_license | vibhash1083/load-test-locustio | 4ab38e1c2fd4ce469fe0e88ce7b35d321fb8d974 | 3c6fd28b5b22f2ac9e281137aae0581e49923f75 | refs/heads/master | 2023-04-30T21:07:59.311492 | 2021-05-20T20:04:51 | 2021-05-20T20:04:51 | 116,121,893 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 395 | py | def login(self):
# GET login page to get csrftoken from it
print("logging innnnnnnnnn")
response = self.client.get('quiz/login/')
csrftoken = response.cookies['csrftoken']
# POST to login page with csrftoken
self.client.post('quiz/login/',
{'username': 'prajaip', 'password': 'locust'},
headers={'X-CSRFToken': csrftoken}) | [
"prajaip@amazon.com"
] | prajaip@amazon.com |
ceea920616f07da8b48de670bd3a87ceba768a61 | 099d29ec51df145a04c4ca0b22d069ef45ee3575 | /Assegnment/inventory/migrations/0003_remove_inventory_author.py | 3ed635828a3fe089ab54f6e91515c53245e210da | [] | no_license | prahaladc20/invent | 51e7d6194e9c33a7b1131f46d6cdac21308f6809 | 8256e3f6e24231ba2561d760e5a1c5d481e3e33a | refs/heads/master | 2023-01-24T12:29:08.281628 | 2019-12-10T15:07:33 | 2019-12-10T15:07:33 | 225,514,320 | 0 | 0 | null | 2023-01-07T12:25:22 | 2019-12-03T02:37:35 | Python | UTF-8 | Python | false | false | 331 | py | # Generated by Django 2.2.7 on 2019-11-27 15:22
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('inventory', '0002_inventory_author'),
]
operations = [
migrations.RemoveField(
model_name='inventory',
name='author',
),
]
| [
"prahaladc20@gmail.com"
] | prahaladc20@gmail.com |
ef8b3323333c1819d0f0617597141303720ffa5a | fb0c0b784ae7e9f000d0194563a7784bbf46daf0 | /data/components/message_window.py | e183a5473f9cd5a7d24eaf994c18145cc61670b7 | [] | no_license | iminurnamez/lessor | 25a0d2a84bad195b884f521d4ee6dc814602a5d0 | b591a379d7f5019dbae57a5a5ee88672d2342729 | refs/heads/master | 2021-01-21T05:16:58.779434 | 2017-02-25T23:56:34 | 2017-02-25T23:56:34 | 83,165,839 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,385 | py | import pygame as pg
from .. import prepare
from ..components.labels import Label, Button, ButtonGroup, MultiLineLabel
from ..components.window import Window
class MessageWindow(Window):
def __init__(self, building, player, message):
super(MessageWindow, self).__init__(building, player)
self.msg = MultiLineLabel(prepare.FONTS["PortmanteauRegular"],
24, message, prepare.TEXT_COLOR,
{"center": self.rect.center}, bg=None,
char_limit=21, align="center", vert_space=16)
self.buttons = ButtonGroup()
idle, hover = self.make_button_images("OK", "small")
w, h = idle.get_size()
Button((self.rect.centerx - (w//2), self.rect.bottom - 56), self.buttons,
button_size=(w, h), idle_image=idle, hover_image=hover,
call=self.cancel)
def cancel(self, *args):
self.done = True
self.next = "GAMEPLAY"
def get_event(self, event):
self.buttons.get_event(event)
def update(self, dt, mouse_pos):
self.buttons.update(mouse_pos)
def draw(self, surface):
self.building.draw(surface)
self.draw_window(surface)
self.msg.draw(surface)
self.buttons.draw(surface)
| [
"easinerf@gmail.com"
] | easinerf@gmail.com |
d706094388182f230bb3ca8c6b7f24b46b339ab1 | 9f66941e73cad0c215601339512b8dd6729792da | /Show_Program_exe/predictModelUI/tensorflow/core/protobuf/saved_object_graph_pb2.py | 49dc225a4205282e1120033dc9b5f2026c16e5e6 | [] | no_license | NgaAdrain/TEAM_Enter_Text_Here | eb0e02c13959b90eecc0c69d2b24adb23a50150a | a7217438284360e06c93d37092dca1afcecb735a | refs/heads/master | 2023-07-20T11:42:50.353497 | 2021-05-28T08:30:53 | 2021-05-28T08:30:53 | 267,983,495 | 2 | 0 | null | 2023-07-06T22:00:36 | 2020-05-30T00:50:59 | Python | UTF-8 | Python | false | true | 37,038 | py | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorflow/core/protobuf/saved_object_graph.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2
from tensorflow.core.framework import types_pb2 as tensorflow_dot_core_dot_framework_dot_types__pb2
from tensorflow.core.framework import variable_pb2 as tensorflow_dot_core_dot_framework_dot_variable__pb2
from tensorflow.core.framework import versions_pb2 as tensorflow_dot_core_dot_framework_dot_versions__pb2
from tensorflow.core.protobuf import struct_pb2 as tensorflow_dot_core_dot_protobuf_dot_struct__pb2
from tensorflow.core.protobuf import trackable_object_graph_pb2 as tensorflow_dot_core_dot_protobuf_dot_trackable__object__graph__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='tensorflow/core/protobuf/saved_object_graph.proto',
package='tensorflow',
syntax='proto3',
serialized_options=_b('ZHgithub.com/tensorflow/tensorflow/tensorflow/go/core/core_protos_go_proto\370\001\001'),
serialized_pb=_b('\n1tensorflow/core/protobuf/saved_object_graph.proto\x12\ntensorflow\x1a,tensorflow/core/framework/tensor_shape.proto\x1a%tensorflow/core/framework/types.proto\x1a(tensorflow/core/framework/variable.proto\x1a(tensorflow/core/framework/versions.proto\x1a%tensorflow/core/protobuf/struct.proto\x1a\x35tensorflow/core/protobuf/trackable_object_graph.proto\"\xe8\x01\n\x10SavedObjectGraph\x12&\n\x05nodes\x18\x01 \x03(\x0b\x32\x17.tensorflow.SavedObject\x12O\n\x12\x63oncrete_functions\x18\x02 \x03(\x0b\x32\x33.tensorflow.SavedObjectGraph.ConcreteFunctionsEntry\x1a[\n\x16\x43oncreteFunctionsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x30\n\x05value\x18\x02 \x01(\x0b\x32!.tensorflow.SavedConcreteFunction:\x02\x38\x01\"\xd9\x05\n\x0bSavedObject\x12R\n\x08\x63hildren\x18\x01 \x03(\x0b\x32@.tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference\x12^\n\x0eslot_variables\x18\x03 \x03(\x0b\x32\x46.tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference\x12\x32\n\x0buser_object\x18\x04 \x01(\x0b\x32\x1b.tensorflow.SavedUserObjectH\x00\x12\'\n\x05\x61sset\x18\x05 \x01(\x0b\x32\x16.tensorflow.SavedAssetH\x00\x12-\n\x08\x66unction\x18\x06 \x01(\x0b\x32\x19.tensorflow.SavedFunctionH\x00\x12-\n\x08variable\x18\x07 \x01(\x0b\x32\x19.tensorflow.SavedVariableH\x00\x12G\n\x16\x62\x61re_concrete_function\x18\x08 \x01(\x0b\x32%.tensorflow.SavedBareConcreteFunctionH\x00\x12-\n\x08\x63onstant\x18\t \x01(\x0b\x32\x19.tensorflow.SavedConstantH\x00\x12-\n\x08resource\x18\n \x01(\x0b\x32\x19.tensorflow.SavedResourceH\x00\x12\x46\n\x10saveable_objects\x18\x0b \x03(\x0b\x32,.tensorflow.SavedObject.SaveableObjectsEntry\x1aR\n\x14SaveableObjectsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12)\n\x05value\x18\x02 \x01(\x0b\x32\x1a.tensorflow.SaveableObject:\x02\x38\x01\x42\x06\n\x04kindJ\x04\x08\x02\x10\x03R\nattributes\"`\n\x0fSavedUserObject\x12\x12\n\nidentifier\x18\x01 \x01(\t\x12\'\n\x07version\x18\x02 \x01(\x0b\x32\x16.tensorflow.VersionDef\x12\x10\n\x08metadata\x18\x03 \x01(\t\"*\n\nSavedAsset\x12\x1c\n\x14\x61sset_file_def_index\x18\x01 \x01(\x05\"\\\n\rSavedFunction\x12\x1a\n\x12\x63oncrete_functions\x18\x01 \x03(\t\x12/\n\rfunction_spec\x18\x02 \x01(\x0b\x32\x18.tensorflow.FunctionSpec\"\xa8\x01\n\x15SavedConcreteFunction\x12\x14\n\x0c\x62ound_inputs\x18\x02 \x03(\x05\x12\x42\n\x1d\x63\x61nonicalized_input_signature\x18\x03 \x01(\x0b\x32\x1b.tensorflow.StructuredValue\x12\x35\n\x10output_signature\x18\x04 \x01(\x0b\x32\x1b.tensorflow.StructuredValue\"|\n\x19SavedBareConcreteFunction\x12\x1e\n\x16\x63oncrete_function_name\x18\x01 \x01(\t\x12\x19\n\x11\x61rgument_keywords\x18\x02 \x03(\t\x12$\n\x1c\x61llowed_positional_arguments\x18\x03 \x01(\x03\"\"\n\rSavedConstant\x12\x11\n\toperation\x18\x01 \x01(\t\"\xf6\x01\n\rSavedVariable\x12#\n\x05\x64type\x18\x01 \x01(\x0e\x32\x14.tensorflow.DataType\x12+\n\x05shape\x18\x02 \x01(\x0b\x32\x1c.tensorflow.TensorShapeProto\x12\x11\n\ttrainable\x18\x03 \x01(\x08\x12<\n\x0fsynchronization\x18\x04 \x01(\x0e\x32#.tensorflow.VariableSynchronization\x12\x34\n\x0b\x61ggregation\x18\x05 \x01(\x0e\x32\x1f.tensorflow.VariableAggregation\x12\x0c\n\x04name\x18\x06 \x01(\t\"\x95\x01\n\x0c\x46unctionSpec\x12\x30\n\x0b\x66ullargspec\x18\x01 \x01(\x0b\x32\x1b.tensorflow.StructuredValue\x12\x11\n\tis_method\x18\x02 \x01(\x08\x12\x34\n\x0finput_signature\x18\x05 \x01(\x0b\x32\x1b.tensorflow.StructuredValueJ\x04\x08\x03\x10\x04J\x04\x08\x04\x10\x05\"\x1f\n\rSavedResource\x12\x0e\n\x06\x64\x65vice\x18\x01 \x01(\t\"A\n\x0eSaveableObject\x12\x15\n\rsave_function\x18\x02 \x01(\x05\x12\x18\n\x10restore_function\x18\x03 \x01(\x05\x42MZHgithub.com/tensorflow/tensorflow/tensorflow/go/core/core_protos_go_proto\xf8\x01\x01\x62\x06proto3')
,
dependencies=[tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2.DESCRIPTOR,tensorflow_dot_core_dot_framework_dot_types__pb2.DESCRIPTOR,tensorflow_dot_core_dot_framework_dot_variable__pb2.DESCRIPTOR,tensorflow_dot_core_dot_framework_dot_versions__pb2.DESCRIPTOR,tensorflow_dot_core_dot_protobuf_dot_struct__pb2.DESCRIPTOR,tensorflow_dot_core_dot_protobuf_dot_trackable__object__graph__pb2.DESCRIPTOR,])
_SAVEDOBJECTGRAPH_CONCRETEFUNCTIONSENTRY = _descriptor.Descriptor(
name='ConcreteFunctionsEntry',
full_name='tensorflow.SavedObjectGraph.ConcreteFunctionsEntry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='tensorflow.SavedObjectGraph.ConcreteFunctionsEntry.key', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='value', full_name='tensorflow.SavedObjectGraph.ConcreteFunctionsEntry.value', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=_b('8\001'),
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=470,
serialized_end=561,
)
_SAVEDOBJECTGRAPH = _descriptor.Descriptor(
name='SavedObjectGraph',
full_name='tensorflow.SavedObjectGraph',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='nodes', full_name='tensorflow.SavedObjectGraph.nodes', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='concrete_functions', full_name='tensorflow.SavedObjectGraph.concrete_functions', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_SAVEDOBJECTGRAPH_CONCRETEFUNCTIONSENTRY, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=329,
serialized_end=561,
)
_SAVEDOBJECT_SAVEABLEOBJECTSENTRY = _descriptor.Descriptor(
name='SaveableObjectsEntry',
full_name='tensorflow.SavedObject.SaveableObjectsEntry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='tensorflow.SavedObject.SaveableObjectsEntry.key', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='value', full_name='tensorflow.SavedObject.SaveableObjectsEntry.value', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=_b('8\001'),
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1185,
serialized_end=1267,
)
_SAVEDOBJECT = _descriptor.Descriptor(
name='SavedObject',
full_name='tensorflow.SavedObject',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='children', full_name='tensorflow.SavedObject.children', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='slot_variables', full_name='tensorflow.SavedObject.slot_variables', index=1,
number=3, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='user_object', full_name='tensorflow.SavedObject.user_object', index=2,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='asset', full_name='tensorflow.SavedObject.asset', index=3,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='function', full_name='tensorflow.SavedObject.function', index=4,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='variable', full_name='tensorflow.SavedObject.variable', index=5,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bare_concrete_function', full_name='tensorflow.SavedObject.bare_concrete_function', index=6,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='constant', full_name='tensorflow.SavedObject.constant', index=7,
number=9, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='resource', full_name='tensorflow.SavedObject.resource', index=8,
number=10, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='saveable_objects', full_name='tensorflow.SavedObject.saveable_objects', index=9,
number=11, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_SAVEDOBJECT_SAVEABLEOBJECTSENTRY, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='kind', full_name='tensorflow.SavedObject.kind',
index=0, containing_type=None, fields=[]),
],
serialized_start=564,
serialized_end=1293,
)
_SAVEDUSEROBJECT = _descriptor.Descriptor(
name='SavedUserObject',
full_name='tensorflow.SavedUserObject',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='identifier', full_name='tensorflow.SavedUserObject.identifier', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='version', full_name='tensorflow.SavedUserObject.version', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='metadata', full_name='tensorflow.SavedUserObject.metadata', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1295,
serialized_end=1391,
)
_SAVEDASSET = _descriptor.Descriptor(
name='SavedAsset',
full_name='tensorflow.SavedAsset',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='asset_file_def_index', full_name='tensorflow.SavedAsset.asset_file_def_index', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1393,
serialized_end=1435,
)
_SAVEDFUNCTION = _descriptor.Descriptor(
name='SavedFunction',
full_name='tensorflow.SavedFunction',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='concrete_functions', full_name='tensorflow.SavedFunction.concrete_functions', index=0,
number=1, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='function_spec', full_name='tensorflow.SavedFunction.function_spec', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1437,
serialized_end=1529,
)
_SAVEDCONCRETEFUNCTION = _descriptor.Descriptor(
name='SavedConcreteFunction',
full_name='tensorflow.SavedConcreteFunction',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='bound_inputs', full_name='tensorflow.SavedConcreteFunction.bound_inputs', index=0,
number=2, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='canonicalized_input_signature', full_name='tensorflow.SavedConcreteFunction.canonicalized_input_signature', index=1,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='output_signature', full_name='tensorflow.SavedConcreteFunction.output_signature', index=2,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1532,
serialized_end=1700,
)
_SAVEDBARECONCRETEFUNCTION = _descriptor.Descriptor(
name='SavedBareConcreteFunction',
full_name='tensorflow.SavedBareConcreteFunction',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='concrete_function_name', full_name='tensorflow.SavedBareConcreteFunction.concrete_function_name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='argument_keywords', full_name='tensorflow.SavedBareConcreteFunction.argument_keywords', index=1,
number=2, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='allowed_positional_arguments', full_name='tensorflow.SavedBareConcreteFunction.allowed_positional_arguments', index=2,
number=3, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1702,
serialized_end=1826,
)
_SAVEDCONSTANT = _descriptor.Descriptor(
name='SavedConstant',
full_name='tensorflow.SavedConstant',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='operation', full_name='tensorflow.SavedConstant.operation', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1828,
serialized_end=1862,
)
_SAVEDVARIABLE = _descriptor.Descriptor(
name='SavedVariable',
full_name='tensorflow.SavedVariable',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='dtype', full_name='tensorflow.SavedVariable.dtype', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='shape', full_name='tensorflow.SavedVariable.shape', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='trainable', full_name='tensorflow.SavedVariable.trainable', index=2,
number=3, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='synchronization', full_name='tensorflow.SavedVariable.synchronization', index=3,
number=4, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='aggregation', full_name='tensorflow.SavedVariable.aggregation', index=4,
number=5, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='name', full_name='tensorflow.SavedVariable.name', index=5,
number=6, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1865,
serialized_end=2111,
)
_FUNCTIONSPEC = _descriptor.Descriptor(
name='FunctionSpec',
full_name='tensorflow.FunctionSpec',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='fullargspec', full_name='tensorflow.FunctionSpec.fullargspec', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='is_method', full_name='tensorflow.FunctionSpec.is_method', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='input_signature', full_name='tensorflow.FunctionSpec.input_signature', index=2,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=2114,
serialized_end=2263,
)
_SAVEDRESOURCE = _descriptor.Descriptor(
name='SavedResource',
full_name='tensorflow.SavedResource',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='device', full_name='tensorflow.SavedResource.device', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=2265,
serialized_end=2296,
)
_SAVEABLEOBJECT = _descriptor.Descriptor(
name='SaveableObject',
full_name='tensorflow.SaveableObject',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='save_function', full_name='tensorflow.SaveableObject.save_function', index=0,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='restore_function', full_name='tensorflow.SaveableObject.restore_function', index=1,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=2298,
serialized_end=2363,
)
_SAVEDOBJECTGRAPH_CONCRETEFUNCTIONSENTRY.fields_by_name['value'].message_type = _SAVEDCONCRETEFUNCTION
_SAVEDOBJECTGRAPH_CONCRETEFUNCTIONSENTRY.containing_type = _SAVEDOBJECTGRAPH
_SAVEDOBJECTGRAPH.fields_by_name['nodes'].message_type = _SAVEDOBJECT
_SAVEDOBJECTGRAPH.fields_by_name['concrete_functions'].message_type = _SAVEDOBJECTGRAPH_CONCRETEFUNCTIONSENTRY
_SAVEDOBJECT_SAVEABLEOBJECTSENTRY.fields_by_name['value'].message_type = _SAVEABLEOBJECT
_SAVEDOBJECT_SAVEABLEOBJECTSENTRY.containing_type = _SAVEDOBJECT
_SAVEDOBJECT.fields_by_name['children'].message_type = tensorflow_dot_core_dot_protobuf_dot_trackable__object__graph__pb2._TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_OBJECTREFERENCE
_SAVEDOBJECT.fields_by_name['slot_variables'].message_type = tensorflow_dot_core_dot_protobuf_dot_trackable__object__graph__pb2._TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_SLOTVARIABLEREFERENCE
_SAVEDOBJECT.fields_by_name['user_object'].message_type = _SAVEDUSEROBJECT
_SAVEDOBJECT.fields_by_name['asset'].message_type = _SAVEDASSET
_SAVEDOBJECT.fields_by_name['function'].message_type = _SAVEDFUNCTION
_SAVEDOBJECT.fields_by_name['variable'].message_type = _SAVEDVARIABLE
_SAVEDOBJECT.fields_by_name['bare_concrete_function'].message_type = _SAVEDBARECONCRETEFUNCTION
_SAVEDOBJECT.fields_by_name['constant'].message_type = _SAVEDCONSTANT
_SAVEDOBJECT.fields_by_name['resource'].message_type = _SAVEDRESOURCE
_SAVEDOBJECT.fields_by_name['saveable_objects'].message_type = _SAVEDOBJECT_SAVEABLEOBJECTSENTRY
_SAVEDOBJECT.oneofs_by_name['kind'].fields.append(
_SAVEDOBJECT.fields_by_name['user_object'])
_SAVEDOBJECT.fields_by_name['user_object'].containing_oneof = _SAVEDOBJECT.oneofs_by_name['kind']
_SAVEDOBJECT.oneofs_by_name['kind'].fields.append(
_SAVEDOBJECT.fields_by_name['asset'])
_SAVEDOBJECT.fields_by_name['asset'].containing_oneof = _SAVEDOBJECT.oneofs_by_name['kind']
_SAVEDOBJECT.oneofs_by_name['kind'].fields.append(
_SAVEDOBJECT.fields_by_name['function'])
_SAVEDOBJECT.fields_by_name['function'].containing_oneof = _SAVEDOBJECT.oneofs_by_name['kind']
_SAVEDOBJECT.oneofs_by_name['kind'].fields.append(
_SAVEDOBJECT.fields_by_name['variable'])
_SAVEDOBJECT.fields_by_name['variable'].containing_oneof = _SAVEDOBJECT.oneofs_by_name['kind']
_SAVEDOBJECT.oneofs_by_name['kind'].fields.append(
_SAVEDOBJECT.fields_by_name['bare_concrete_function'])
_SAVEDOBJECT.fields_by_name['bare_concrete_function'].containing_oneof = _SAVEDOBJECT.oneofs_by_name['kind']
_SAVEDOBJECT.oneofs_by_name['kind'].fields.append(
_SAVEDOBJECT.fields_by_name['constant'])
_SAVEDOBJECT.fields_by_name['constant'].containing_oneof = _SAVEDOBJECT.oneofs_by_name['kind']
_SAVEDOBJECT.oneofs_by_name['kind'].fields.append(
_SAVEDOBJECT.fields_by_name['resource'])
_SAVEDOBJECT.fields_by_name['resource'].containing_oneof = _SAVEDOBJECT.oneofs_by_name['kind']
_SAVEDUSEROBJECT.fields_by_name['version'].message_type = tensorflow_dot_core_dot_framework_dot_versions__pb2._VERSIONDEF
_SAVEDFUNCTION.fields_by_name['function_spec'].message_type = _FUNCTIONSPEC
_SAVEDCONCRETEFUNCTION.fields_by_name['canonicalized_input_signature'].message_type = tensorflow_dot_core_dot_protobuf_dot_struct__pb2._STRUCTUREDVALUE
_SAVEDCONCRETEFUNCTION.fields_by_name['output_signature'].message_type = tensorflow_dot_core_dot_protobuf_dot_struct__pb2._STRUCTUREDVALUE
_SAVEDVARIABLE.fields_by_name['dtype'].enum_type = tensorflow_dot_core_dot_framework_dot_types__pb2._DATATYPE
_SAVEDVARIABLE.fields_by_name['shape'].message_type = tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2._TENSORSHAPEPROTO
_SAVEDVARIABLE.fields_by_name['synchronization'].enum_type = tensorflow_dot_core_dot_framework_dot_variable__pb2._VARIABLESYNCHRONIZATION
_SAVEDVARIABLE.fields_by_name['aggregation'].enum_type = tensorflow_dot_core_dot_framework_dot_variable__pb2._VARIABLEAGGREGATION
_FUNCTIONSPEC.fields_by_name['fullargspec'].message_type = tensorflow_dot_core_dot_protobuf_dot_struct__pb2._STRUCTUREDVALUE
_FUNCTIONSPEC.fields_by_name['input_signature'].message_type = tensorflow_dot_core_dot_protobuf_dot_struct__pb2._STRUCTUREDVALUE
DESCRIPTOR.message_types_by_name['SavedObjectGraph'] = _SAVEDOBJECTGRAPH
DESCRIPTOR.message_types_by_name['SavedObject'] = _SAVEDOBJECT
DESCRIPTOR.message_types_by_name['SavedUserObject'] = _SAVEDUSEROBJECT
DESCRIPTOR.message_types_by_name['SavedAsset'] = _SAVEDASSET
DESCRIPTOR.message_types_by_name['SavedFunction'] = _SAVEDFUNCTION
DESCRIPTOR.message_types_by_name['SavedConcreteFunction'] = _SAVEDCONCRETEFUNCTION
DESCRIPTOR.message_types_by_name['SavedBareConcreteFunction'] = _SAVEDBARECONCRETEFUNCTION
DESCRIPTOR.message_types_by_name['SavedConstant'] = _SAVEDCONSTANT
DESCRIPTOR.message_types_by_name['SavedVariable'] = _SAVEDVARIABLE
DESCRIPTOR.message_types_by_name['FunctionSpec'] = _FUNCTIONSPEC
DESCRIPTOR.message_types_by_name['SavedResource'] = _SAVEDRESOURCE
DESCRIPTOR.message_types_by_name['SaveableObject'] = _SAVEABLEOBJECT
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
SavedObjectGraph = _reflection.GeneratedProtocolMessageType('SavedObjectGraph', (_message.Message,), {
'ConcreteFunctionsEntry' : _reflection.GeneratedProtocolMessageType('ConcreteFunctionsEntry', (_message.Message,), {
'DESCRIPTOR' : _SAVEDOBJECTGRAPH_CONCRETEFUNCTIONSENTRY,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SavedObjectGraph.ConcreteFunctionsEntry)
})
,
'DESCRIPTOR' : _SAVEDOBJECTGRAPH,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SavedObjectGraph)
})
_sym_db.RegisterMessage(SavedObjectGraph)
_sym_db.RegisterMessage(SavedObjectGraph.ConcreteFunctionsEntry)
SavedObject = _reflection.GeneratedProtocolMessageType('SavedObject', (_message.Message,), {
'SaveableObjectsEntry' : _reflection.GeneratedProtocolMessageType('SaveableObjectsEntry', (_message.Message,), {
'DESCRIPTOR' : _SAVEDOBJECT_SAVEABLEOBJECTSENTRY,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SavedObject.SaveableObjectsEntry)
})
,
'DESCRIPTOR' : _SAVEDOBJECT,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SavedObject)
})
_sym_db.RegisterMessage(SavedObject)
_sym_db.RegisterMessage(SavedObject.SaveableObjectsEntry)
SavedUserObject = _reflection.GeneratedProtocolMessageType('SavedUserObject', (_message.Message,), {
'DESCRIPTOR' : _SAVEDUSEROBJECT,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SavedUserObject)
})
_sym_db.RegisterMessage(SavedUserObject)
SavedAsset = _reflection.GeneratedProtocolMessageType('SavedAsset', (_message.Message,), {
'DESCRIPTOR' : _SAVEDASSET,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SavedAsset)
})
_sym_db.RegisterMessage(SavedAsset)
SavedFunction = _reflection.GeneratedProtocolMessageType('SavedFunction', (_message.Message,), {
'DESCRIPTOR' : _SAVEDFUNCTION,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SavedFunction)
})
_sym_db.RegisterMessage(SavedFunction)
SavedConcreteFunction = _reflection.GeneratedProtocolMessageType('SavedConcreteFunction', (_message.Message,), {
'DESCRIPTOR' : _SAVEDCONCRETEFUNCTION,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SavedConcreteFunction)
})
_sym_db.RegisterMessage(SavedConcreteFunction)
SavedBareConcreteFunction = _reflection.GeneratedProtocolMessageType('SavedBareConcreteFunction', (_message.Message,), {
'DESCRIPTOR' : _SAVEDBARECONCRETEFUNCTION,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SavedBareConcreteFunction)
})
_sym_db.RegisterMessage(SavedBareConcreteFunction)
SavedConstant = _reflection.GeneratedProtocolMessageType('SavedConstant', (_message.Message,), {
'DESCRIPTOR' : _SAVEDCONSTANT,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SavedConstant)
})
_sym_db.RegisterMessage(SavedConstant)
SavedVariable = _reflection.GeneratedProtocolMessageType('SavedVariable', (_message.Message,), {
'DESCRIPTOR' : _SAVEDVARIABLE,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SavedVariable)
})
_sym_db.RegisterMessage(SavedVariable)
FunctionSpec = _reflection.GeneratedProtocolMessageType('FunctionSpec', (_message.Message,), {
'DESCRIPTOR' : _FUNCTIONSPEC,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.FunctionSpec)
})
_sym_db.RegisterMessage(FunctionSpec)
SavedResource = _reflection.GeneratedProtocolMessageType('SavedResource', (_message.Message,), {
'DESCRIPTOR' : _SAVEDRESOURCE,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SavedResource)
})
_sym_db.RegisterMessage(SavedResource)
SaveableObject = _reflection.GeneratedProtocolMessageType('SaveableObject', (_message.Message,), {
'DESCRIPTOR' : _SAVEABLEOBJECT,
'__module__' : 'tensorflow.core.protobuf.saved_object_graph_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.SaveableObject)
})
_sym_db.RegisterMessage(SaveableObject)
DESCRIPTOR._options = None
_SAVEDOBJECTGRAPH_CONCRETEFUNCTIONSENTRY._options = None
_SAVEDOBJECT_SAVEABLEOBJECTSENTRY._options = None
# @@protoc_insertion_point(module_scope)
| [
"adrainnga@gmail.com"
] | adrainnga@gmail.com |
8df1865493f7d6d659d54f4de4e6c2e98f00eeab | feaef9e12345f9a9b0a839d159d101357a22b3fe | /maxconnect4.py | 1e63c90e2b1f2c327622bef3deb9b9e635a08c9e | [] | no_license | akash682/Maxconnect4Game | 03975b07743d148255724b3f4325aab322770daa | 1047504c6182504a61f3dec93e66e7f44966dd8e | refs/heads/master | 2020-04-27T02:55:15.103086 | 2019-03-09T04:14:37 | 2019-03-09T04:14:37 | 174,009,249 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,751 | py | #!/usr/bin/env python
# Written by Chris Conly based on C++
# code provided by Dr. Vassilis Athitsos
# Written to be Python 2.4 compatible for omega
import sys
from MaxConnect4Game import *
from Minimax import *
import sys
def oneMoveGame(currentGame, fname, depth):
# Is the board full already?
if currentGame.pieceCount == 42:
print 'BOARD FULL\n\nGame Over!\n'
sys.exit(0)
# Make a move (Minimax algorithm implemented)
aiPlay(currentGame, 'computer-next', depth)
fname = fname;
try:
# open human.txt with write mode
currentGame.gameFile = open(fname, 'w')
except:
sys.exit('Error opening output file, computer.txt')
#SavetoFile
currentGame.printGameBoardToFile()
currentGame.gameFile.close()
def interactiveGame(currentGame, init_next, depth):
print('Interactive mode selected.')
while currentGame.pieceCount !=42:
if init_next == 'computer-next' and currentGame.currentTurn == 1 and currentGame.init_turn == 1:
# --COMPUTER PROCESS--
aiPlay(currentGame, init_next, depth)
if init_next == 'computer-next' and currentGame.currentTurn == 1 and currentGame.init_turn == 2:
# --HUMAN INTERFACE-
humaninterface(currentGame)
elif init_next == 'computer-next' and currentGame.currentTurn == 2 and currentGame.init_turn ==1:
# --HUMAN INTERFACE-
humaninterface(currentGame)
elif init_next == 'computer-next' and currentGame.currentTurn == 2 and currentGame.init_turn == 2:
# --COMPUTER PROCESS--
aiPlay(currentGame, init_next, depth)
elif init_next == 'human-next' and currentGame.currentTurn == 1 and currentGame.init_turn == 1:
# --HUMAN INTERFACE-
humaninterface(currentGame)
elif init_next == 'human-next' and currentGame.currentTurn == 1 and currentGame.init_turn == 2:
# --COMPUTER PROCESS--
aiPlay(currentGame, init_next, depth)
elif init_next == 'human-next' and currentGame.currentTurn == 2 and currentGame.init_turn == 1:
# --COMPUTER PROCESS--
aiPlay(currentGame, init_next, depth)
elif init_next == 'human-next' and currentGame.currentTurn == 2 and currentGame.init_turn == 2:
# --HUMAN INTERFACE-
humaninterface(currentGame)
# -----------------------------------RESULT------------------------------------------------------------
if currentGame.player1Score > currentGame.player2Score:
if currentGame.init_turn == 1 and sys.argv[3] == 'computer-next':
print('Computer won')
else:
print('You won')
if currentGame.init_turn == 1 and sys.argv[3] == 'human-next':
print('You won')
else:
print('Computer won.')
elif currentGame.player1Score < currentGame.player2Score:
if currentGame.init_turn == 1 and sys.argv[3] == 'computer-next':
print('You won.')
else:
print('Computer won')
if currentGame.init_turn == 1 and sys.argv[3] == 'human-next':
print('Computer won')
else:
print('You won.')
else:
print('Draw game.')
print('Thank you for playing MaxConnect4Game')
#----HUMAN INTERFACE-----
def humaninterface(currentGame):
print('---------------HUMAN TURN------------------')
while True:
# column input
user_move = input('Choose the column number between [1-7].')
# column input check
if not 1 <= user_move <= 7:
print('Invalid number.')
continue
elif currentGame.gameBoard[0][user_move - 1] != 0:
print('This column is already filled up.')
continue
else:
break
# Play with requested column
currentGame.playPiece(user_move - 1)
print 'Game state after move:'
# Print GameBoard
currentGame.printGameBoard()
# Print Score
currentGame.countScore()
print('Score: Player 1 = %d, Player 2 = %d' % (currentGame.player1Score, currentGame.player2Score))
try:
# open human.txt with write mode
currentGame.gameFile = open("human.txt", 'w')
except:
sys.exit('Error opening output file, human.txt')
# write currentGameBoard to human.txt
currentGame.printGameBoardToFile()
#----COMPUTER PROCESS-----
#AI section. Creates Minimax object and starts method.
def aiPlay(currentGame, init_next, depth):
print ('---------------COMPUTER TURN---------------')
#Minimax object
miniobj = Minimax(currentGame, init_next, depth)
#Result of next move(column) using minimax algorithm
dec_col = miniobj.final_decision()
#Play with result column
currentGame.playPiece(dec_col)
print('move %d: Player %d, column %d' % (currentGame.pieceCount, currentGame.currentTurn, dec_col + 1))
# Print GameBoard
print 'Game state after move:'
currentGame.printGameBoard()
# Print Score
currentGame.countScore()
print('Score: Player 1 = %d, Player 2 = %d' % (currentGame.player1Score, currentGame.player2Score))
try:
# open computer.txt with write mode
currentGame.gameFile = open("computer.txt", 'w')
except:
sys.exit('Error opening output file, computer.txt')
# write currentGameBoard to computer.txt
currentGame.printGameBoardToFile()
# human.txt computer.txt close
currentGame.gameFile.close()
def main(argv):
# Make sure we have enough command-line arguments
if len(argv) != 5:
print 'Four command-line arguments are needed:'
print('Usage: %s interactive [input_file] [computer-next/human-next] [depth]' % argv[0])
print('or: %s one-move [input_file] [output_file] [depth]' % argv[0])
sys.exit(2)
game_mode, inFile = argv[1:3]
if not game_mode == 'interactive' and not game_mode == 'one-move':
print('%s is an unrecognized game mode' % game_mode)
sys.exit(2)
currentGame = maxConnect4Game() # Create a game
# Try to open the input file
try:
currentGame.gameFile = open(inFile, 'r')
except IOError:
sys.exit("\nError opening input file.\nCheck file name.\n")
# Read the initial game state from the file and save in a 2D list
file_lines = currentGame.gameFile.readlines()
currentGame.gameBoard = [[int(char) for char in line[0:7]] for line in file_lines[0:-1]]
currentGame.currentTurn = int(file_lines[-1][0])
currentGame.init_turn = currentGame.currentTurn
currentGame.gameFile.close()
print '\nMaxConnect-4 game\n'
print 'Game state before move:'
currentGame.printGameBoard()
# Update a few game variables based on initial state and print the score
currentGame.checkPieceCount()
currentGame.countScore()
print('Score: Player 1 = %d, Player 2 = %d' % (currentGame.player1Score, currentGame.player2Score))
if game_mode == 'interactive':
interactiveGame(currentGame, argv[3], argv[4]) # Be sure to pass whatever else you need from the command line
else: # game_mode == 'one-move'
# Set up the output file
outFile = argv[3]
try:
currentGame.gameFile = open(outFile, 'w')
except:
sys.exit('Error opening output file.')
oneMoveGame(currentGame,argv[3], argv[4]) # Be sure to pass any other arguments from the command line you might need.
if __name__ == '__main__':
main(sys.argv) | [
"noreply@github.com"
] | akash682.noreply@github.com |
acf702401d77c59421e65ac7578a059df5d45539 | 4c3397f6e48800ac544e332ce3d408db8ab538e4 | /colabsnippets/face_detection/fpn/FPN3StageMD.py | f024014011b3ec6ed3a3b02d18e5f90ff6386bb7 | [] | no_license | rebser/colabsnippets | 7fcd18ab09de527b374d8e358abc1075912389d9 | 005145d69179e4265f19ec021d38f4bceda40ed9 | refs/heads/master | 2023-03-18T09:39:05.966629 | 2020-03-08T10:53:12 | 2020-03-08T10:53:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,180 | py | import tensorflow as tf
from .FPN3StageBase import FPN3StageBase
from ...ops import conv2d, reduction_block, main_block
class FPN3StageMD(FPN3StageBase):
def __init__(self, name='fpn3stagemd', with_detection_module=True, use_minimal_anchors=True):
super().__init__(name=name, stage_filters=[128, 256, 512], with_detection_module=with_detection_module,
use_minimal_anchors=use_minimal_anchors)
def init_bottom_up_weights(self, weight_processor):
weight_processor.process_conv_weights(3, 32, 'conv_in', filter_size=3)
weight_processor.process_reduction_block_weights(32, 64, 'reduction_block_0')
weight_processor.process_main_block_weights(64, 'main_block_0_0')
weight_processor.process_reduction_block_weights(64, 128, 'reduction_block_1')
weight_processor.process_main_block_weights(128, 'main_block_1_0')
weight_processor.process_main_block_weights(128, 'main_block_1_1')
weight_processor.process_reduction_block_weights(128, 256, 'reduction_block_2')
weight_processor.process_main_block_weights(256, 'main_block_2_0')
weight_processor.process_main_block_weights(256, 'main_block_2_1')
weight_processor.process_reduction_block_weights(256, 512, 'reduction_block_3')
weight_processor.process_main_block_weights(512, 'main_block_3_0')
weight_processor.process_main_block_weights(512, 'main_block_3_1')
weight_processor.process_main_block_weights(512, 'main_block_3_2')
def bottom_up(self, x):
out = tf.nn.relu(conv2d(x, 'conv_in', [1, 2, 2, 1]))
out = reduction_block(out, 'reduction_block_0', is_activate_input=False)
out = main_block(out, 'main_block_0_0')
out = reduction_block(out, 'reduction_block_1')
out = main_block(out, 'main_block_1_0')
out1 = out = main_block(out, 'main_block_1_1')
out = reduction_block(out, 'reduction_block_2')
out = main_block(out, 'main_block_2_0')
out2 = out = main_block(out, 'main_block_2_1')
out = reduction_block(out, 'reduction_block_3')
out = main_block(out, 'main_block_3_0')
out = main_block(out, 'main_block_3_1')
out3 = out = main_block(out, 'main_block_3_2')
return out1, out2, out3
| [
"muehler.v@gmail.com"
] | muehler.v@gmail.com |
97ff9d00847b0ba529fc65f6788083fc1f43bc49 | 2a176ede9250c523425aa8a3e068bf7a64254068 | /robot.py | 5ff1fe79540a43cab9225391a0b30acac2f84474 | [] | no_license | prikevs/nupt-zccx | 31c99026efbc9645a81de1e50431acb939bf14ea | 3c27b5f5093917a13bf654253ff5b8d0c477fdf4 | refs/heads/master | 2021-01-10T04:38:07.932983 | 2015-05-07T10:55:31 | 2015-05-07T10:55:31 | 34,276,326 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,009 | py | #!/usr/bin/env python2.7
#coding:utf-8
import werobot
import re
from zccx.handle import Handle
robot = werobot.WeRoBot(token="kevince")
msg1 = u"欢迎使用南邮晨跑查询微信公众号\n"
msg2 = u"Developed by Kevince & Powered by https://github.com/prikevs/nupt-zccx\n"
msg3 = u"首先请进行绑定操作：\n输入 绑定+姓名+学号 例如\n绑定 田二狗 B13040216"
HELLO_MSG = msg1 + msg2 + msg3
@robot.subscribe
def wesubscribe(message):
return HELLO_MSG
@robot.filter(u"查询")
def word_consult(message):
h = Handle(message.source)
return h.consult()
@robot.filter(re.compile(u"绑定(.*)"))
def webind(message):
h = Handle(message.source)
return h.bind(message.content)
@robot.voice
def voice_consult(message):
if message.recognition == u"查询":
h = Handle(message.source)
return h.consult()
return "What are you talking about?"
@robot.text
def echo(message):
return "请直接回复 查询 或者语音回复查询"
robot.run()
| [
"wildfire_ks@foxmail.com"
] | wildfire_ks@foxmail.com |
3ae7787d9641335df5ad2bb0d983fb3866b51cd1 | 617e6557eb86754dd5a041d4aa4325c31f7a0d1a | /bench/genesys2.py | c853cee0ecd7e6cb4709b9d40ba529f847c44f62 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | permissive | chengzhangxinli/litedram | ae9a5faa82a21b5915cadfd80bc0f1530fb9ed5f | af979bbd3149c1bfe617320c22b4e4759de1182d | refs/heads/master | 2023-01-20T17:26:38.469499 | 2020-11-24T18:48:56 | 2020-11-24T18:48:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,551 | py | #!/usr/bin/env python3
#
# This file is part of LiteDRAM.
#
# Copyright (c) 2020 Florent Kermarrec <florent@enjoy-digital.fr>
# SPDX-License-Identifier: BSD-2-Clause
import os
import argparse
from migen import *
from litex.boards.platforms import genesys2
from litex.soc.cores.clock import *
from litex.soc.interconnect.csr import *
from litex.soc.integration.soc_core import *
from litex.soc.integration.soc_sdram import *
from litex.soc.integration.builder import *
from litedram.phy import s7ddrphy
from litedram.modules import MT41J256M16
from liteeth.phy.s7rgmii import LiteEthPHYRGMII
# CRG ----------------------------------------------------------------------------------------------
class _CRG(Module, AutoCSR):
def __init__(self, platform, sys_clk_freq):
self.clock_domains.cd_sys_pll = ClockDomain()
self.clock_domains.cd_sys = ClockDomain()
self.clock_domains.cd_sys4x = ClockDomain(reset_less=True)
self.clock_domains.cd_clk200 = ClockDomain()
self.clock_domains.cd_uart = ClockDomain()
# # #
self.submodules.main_pll = main_pll = S7PLL(speedgrade=-2)
self.comb += main_pll.reset.eq(~platform.request("cpu_reset_n"))
main_pll.register_clkin(platform.request("clk200"), 200e6)
main_pll.create_clkout(self.cd_sys_pll, sys_clk_freq)
main_pll.create_clkout(self.cd_clk200, 200e6)
main_pll.create_clkout(self.cd_uart, 100e6)
main_pll.expose_drp()
self.submodules.idelayctrl = S7IDELAYCTRL(self.cd_clk200)
self.submodules.pll = pll = S7PLL(speedgrade=-2)
self.comb += pll.reset.eq(~main_pll.locked)
pll.register_clkin(self.cd_sys_pll.clk, sys_clk_freq)
pll.create_clkout(self.cd_sys, sys_clk_freq)
pll.create_clkout(self.cd_sys4x, 4*sys_clk_freq)
sys_clk_counter = Signal(32)
self.sync += sys_clk_counter.eq(sys_clk_counter + 1)
self.sys_clk_counter = CSRStatus(32)
self.comb += self.sys_clk_counter.status.eq(sys_clk_counter)
# Bench SoC ----------------------------------------------------------------------------------------
class BenchSoC(SoCCore):
def __init__(self, uart="crossover", sys_clk_freq=int(125e6), with_bist=False):
platform = genesys2.Platform()
# SoCCore ----------------------------------------------------------------------------------
SoCCore.__init__(self, platform, clk_freq=sys_clk_freq,
integrated_rom_size = 0x10000,
integrated_rom_mode = "rw",
csr_data_width = 32,
uart_name = uart)
# CRG --------------------------------------------------------------------------------------
self.submodules.crg = _CRG(platform, sys_clk_freq)
self.add_csr("crg")
# DDR3 SDRAM -------------------------------------------------------------------------------
self.submodules.ddrphy = s7ddrphy.K7DDRPHY(platform.request("ddram"),
memtype = "DDR3",
nphases = 4,
sys_clk_freq = sys_clk_freq)
self.add_csr("ddrphy")
self.add_sdram("sdram",
phy = self.ddrphy,
module = MT41J256M16(sys_clk_freq, "1:4"),
origin = self.mem_map["main_ram"],
with_bist = with_bist,
)
# UARTBone ---------------------------------------------------------------------------------
if uart != "serial":
self.add_uartbone(name="serial", clk_freq=100e6, baudrate=115200, cd="uart")
# Etherbone --------------------------------------------------------------------------------
self.submodules.ethphy = LiteEthPHYRGMII(
clock_pads = self.platform.request("eth_clocks"),
pads = self.platform.request("eth"),
with_hw_init_reset = False)
self.add_csr("ethphy")
self.add_etherbone(phy=self.ethphy)
# Analyzer ---------------------------------------------------------------------------------
from litescope import LiteScopeAnalyzer
analyzer_signals = [self.ddrphy.dfi]
self.submodules.analyzer = LiteScopeAnalyzer(analyzer_signals,
depth = 512,
clock_domain = "sys",
csr_csv = "analyzer.csv")
self.add_csr("analyzer")
# Leds -------------------------------------------------------------------------------------
from litex.soc.cores.led import LedChaser
self.submodules.leds = LedChaser(
pads = platform.request_all("user_led"),
sys_clk_freq = sys_clk_freq)
self.add_csr("leds")
# Main ---------------------------------------------------------------------------------------------
def main():
parser = argparse.ArgumentParser(description="LiteDRAM Bench on Genesys2")
parser.add_argument("--uart", default="crossover", help="Selected UART: crossover (default) or serial")
parser.add_argument("--build", action="store_true", help="Build bitstream")
parser.add_argument("--with-bist", action="store_true", help="Add BIST Generator/Checker")
parser.add_argument("--load", action="store_true", help="Load bitstream")
parser.add_argument("--load-bios", action="store_true", help="Load BIOS")
parser.add_argument("--set-sys-clk", default=None, help="Set sys_clk")
parser.add_argument("--test", action="store_true", help="Run Full Bench")
args = parser.parse_args()
soc = BenchSoC(uart=args.uart, with_bist=args.with_bist)
builder = Builder(soc, csr_csv="csr.csv")
builder.build(run=args.build)
if args.load:
prog = soc.platform.create_programmer()
prog.load_bitstream(os.path.join(builder.gateware_dir, soc.build_name + ".bit"))
if args.load_bios:
from common import s7_load_bios
s7_load_bios("build/genesys2/software/bios/bios.bin")
if args.set_sys_clk is not None:
from common import s7_set_sys_clk
s7_set_sys_clk(clk_freq=float(args.config), vco_freq=soc.crg.main_pll.compute_config()["vco"])
if args.test:
from common import s7_bench_test
s7_bench_test(
freq_min = 60e6,
freq_max = 180e6,
freq_step = 1e6,
vco_freq = soc.crg.main_pll.compute_config()["vco"],
bios_filename = "build/genesys2/software/bios/bios.bin")
if __name__ == "__main__":
main()
| [
"florent@enjoy-digital.fr"
] | florent@enjoy-digital.fr |
332a2c3e1c62d34e4e9f75987b816e7d0c89b786 | 91d1a6968b90d9d461e9a2ece12b465486e3ccc2 | /iam_write_f/server-certificate_update.py | f50d6dee040a81fc171979af61dd2f5573540c89 | [] | no_license | lxtxl/aws_cli | c31fc994c9a4296d6bac851e680d5adbf7e93481 | aaf35df1b7509abf5601d3f09ff1fece482facda | refs/heads/master | 2023-02-06T09:00:33.088379 | 2020-12-27T13:38:45 | 2020-12-27T13:38:45 | 318,686,394 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 911 | py | #!/usr/bin/python
# -*- codding: utf-8 -*-
import os
import sys
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
from common.execute_command import write_parameter
# url : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/ec2/describe-instances.html
if __name__ == '__main__':
"""
delete-server-certificate : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/iam/delete-server-certificate.html
get-server-certificate : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/iam/get-server-certificate.html
list-server-certificates : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/iam/list-server-certificates.html
upload-server-certificate : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/iam/upload-server-certificate.html
"""
write_parameter("iam", "update-server-certificate") | [
"hcseo77@gmail.com"
] | hcseo77@gmail.com |
57f0b4f3983a5a317feac10e3d5f3eee570a4930 | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_75/122.py | 91ba1fe748d8690b47b3ad3c3d70a7a782710c20 | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,423 | py | #!/usr/bin/python
# coding: utf-8
class OpposedElementsFound(Exception) :
pass
def main() :
T = int(raw_input())
for t in xrange(T) :
args = raw_input().split()
args.reverse()
C = int(args.pop())
allComb = {}
for i in xrange(C) :
s = args.pop()
allComb[(s[0], s[1])] = s[2]
allComb[(s[1], s[0])] = s[2]
allOpposed = set()
D = int(args.pop())
for i in xrange(D) :
s = args.pop()
allOpposed.add( (s[0], s[1]) )
allOpposed.add( (s[1], s[0]) )
N = int(args.pop())
S = args.pop()
stack = []
for i in S :
stack.append(i)
while len(stack) >= 2 :
p = (stack[-1], stack[-2])
if p in allComb :
stack.pop()
stack.pop()
stack.append(allComb[p])
else :
break
try :
for j in xrange(len(stack)) :
for k in xrange(j, len(stack)) :
p = (stack[j], stack[k])
if p in allOpposed :
raise OpposedElementsFound()
except OpposedElementsFound :
stack[:] = []
print 'Case #%d: [%s]' % ((t + 1), ', '.join(stack))
if __name__ == '__main__' :
main()
| [
"miliar1732@gmail.com"
] | miliar1732@gmail.com |
74e89a7099e0add391dcc3d2df835de9ff0604c4 | 82820a53954d9e8f7270ed8c25a6754fa3d407dc | /scripts/ciciol | 31c9ae320be4ac8c002b85f4cdf17d2f4b62924b | [] | no_license | volpino/Ciciol | 6c3010d9153be078aca08a669162db9b0152feda | 2693d8a6ec3d59fbeabb25c2bc947db0fa00f4c0 | refs/heads/develop | 2020-04-17T10:32:02.567007 | 2012-03-26T08:32:44 | 2012-03-26T08:32:44 | 3,662,082 | 0 | 0 | null | 2023-08-29T21:29:21 | 2012-03-08T16:57:14 | Python | UTF-8 | Python | false | false | 1,431 | #!/usr/bin/env python
import sys
import logging
from ciciol import Ciciol
from ciciol.utils import setup
if __name__ == '__main__':
import optparse
p = optparse.OptionParser(
usage="usage: %prog [options]")
p.add_option('-v', '--verbose', action="store_true", dest="verbose",
default=False, help="Verbose logging")
p.add_option('-c', "--config", action="store", dest="config",
help="Config filename")
p.add_option('-s', "--setup", action="store", dest="setup",
help="Lauch setup for given feature")
opts, _ = p.parse_args()
if opts.setup:
try:
setup_func = getattr(setup, opts.setup)
except AttributeError:
p.error("Invalid setup feature")
setup_func()
sys.exit(0)
if opts.verbose:
logging.basicConfig(stream=sys.stderr,
level=logging.DEBUG,
format='%(name)s %(threadName)s %(asctime)s '
'%(levelname)s %(message)s',
datefmt='%Y-%m-%d %H:%M:%S')
else:
logging.basicConfig(stream=sys.stderr,
level=logging.WARNING)
if opts.verbose:
logging.basicConfig(level=logging.DEBUG)
c = Ciciol(config_fn=opts.config)
try:
c.run()
except (KeyboardInterrupt, SystemExit):
sys.exit()
| [
"fox91@anche.no"
] | fox91@anche.no | |
55bddf73973779c6fa266e24ff8debbf72df4e49 | 4edb790e2cb11bf9ec63dd470773244bcf2f8213 | /example_build_better_cli/setup.py | a7ad40a09d944844f46aafeea96bf331d494e31b | [] | no_license | xNok/pystatemachine | 7002d169c46b4fd1780cc66e35fbecb164b9f4dd | e702fd1509d31a9946ec3b6ac1579f988c0bcb36 | refs/heads/master | 2021-09-06T22:09:30.239282 | 2021-08-19T14:33:33 | 2021-08-19T14:33:33 | 234,469,523 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 404 | py | #!/usr/bin/env python
from setuptools import setup, find_packages
setup(name='python_better_cli',
version='1.0.0',
description='5 tricks to improve command lines',
author='xNok',
author_email='xNok@gmail.com',
packages=find_packages(exclude=['docs', 'tests*']),
entry_points = {
'console_scripts': [
'foobar=5_setup:main'
],
}
) | [
"nokwebspace@gmail.com"
] | nokwebspace@gmail.com |
0e2c5c7abff42f5e18fe5c1a358e959befda0801 | 76ad9ddeed036602bbb4acc8c2bf06e05635cdaa | /hyspider/spiders/movie/db.py | 9cf291aae2b011d912a494240dbec37ce89717c9 | [] | no_license | improvejin/hyspider | 0db8105900103d7fbc1faf80f80c12fd3bfa58c2 | df394e2a48399bda25940f1e027a51d2ac85a516 | refs/heads/master | 2022-12-08T11:00:27.244654 | 2019-01-07T07:43:39 | 2019-01-07T07:43:39 | 164,394,618 | 1 | 2 | null | 2022-12-08T02:28:41 | 2019-01-07T07:30:48 | Python | UTF-8 | Python | false | false | 2,111 | py | import json
import requests
import scrapy
from hyspider.items.movie import MovieDB
from hyspider.utils.log import logger
class MovieDBSpider(scrapy.Spider):
name = 'movie_db'
allowed_domains = ['douban.com']
in_theaters = 'https://api.douban.com/v2/movie/in_theaters?count=100'
coming_soon = 'https://api.douban.com/v2/movie/coming_soon?count=200'
city = '上海'
channel = 'db'
# db会对scray agent返回403
custom_settings = {
'DOWNLOADER_MIDDLEWARES': {
'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None,
'hyspider.middlewares.useragent.chrome.ChromeMiddleware': 543,
}
}
def start_requests(self):
yield scrapy.Request(self.in_theaters, meta={'ongoing': 1}, callback=self.parse)
yield scrapy.Request(self.coming_soon, meta={'ongoing': 0}, callback=self.parse)
def parse(self, response):
ongoing = response.meta['ongoing']
body = json.loads(response.body_as_unicode())
for movie in body['subjects']:
m = MovieDB()
m['id'] = movie['id']
m['name'] = movie['title']
m['type'] = '|'.join(movie['genres'])
m['score'] = movie['rating']['average']
m['poster'] = movie['images']['large']
m['actors'] = ','.join([cast['name'] for cast in movie['casts']])
m['release_date'] = movie['year']
m['ongoing'] = ongoing
duration = self.parse_duration(movie['id'])
if duration is not None:
m['duration'] = duration
yield m
def parse_duration(self, movie_id):
try:
r = requests.get('https://movie.douban.com/subject/{}/'.format(movie_id))
from bs4 import BeautifulSoup
bs = BeautifulSoup(r.text)
node = bs.find(property="v:runtime")
if node is not None:
return node.get_text()
except Exception as e:
logger.exception('Error')
return None
# if __name__ == '__main__':
# parse_duration(26752088)
| [
"jiating.jin@vipshop.com"
] | jiating.jin@vipshop.com |
eb98d2bf4ffc16181844c9d20d36bff925b598af | 7bededcada9271d92f34da6dae7088f3faf61c02 | /pypureclient/flashblade/FB_2_7/models/snmp_manager.py | 1c867f4105b7eced0f86aadd70c826f00a847ed4 | [
"BSD-2-Clause"
] | permissive | PureStorage-OpenConnect/py-pure-client | a5348c6a153f8c809d6e3cf734d95d6946c5f659 | 7e3c3ec1d639fb004627e94d3d63a6fdc141ae1e | refs/heads/master | 2023-09-04T10:59:03.009972 | 2023-08-25T07:40:41 | 2023-08-25T07:40:41 | 160,391,444 | 18 | 29 | BSD-2-Clause | 2023-09-08T09:08:30 | 2018-12-04T17:02:51 | Python | UTF-8 | Python | false | false | 4,572 | py | # coding: utf-8
"""
FlashBlade REST API
A lightweight client for FlashBlade REST API 2.7, developed by Pure Storage, Inc. (http://www.purestorage.com/).
OpenAPI spec version: 2.7
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re
import six
import typing
from ....properties import Property
if typing.TYPE_CHECKING:
from pypureclient.flashblade.FB_2_7 import models
class SnmpManager(object):
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
swagger_types = {
'name': 'str',
'id': 'str',
'host': 'str',
'notification': 'str',
'version': 'str',
'v2c': 'SnmpV2c',
'v3': 'SnmpV3'
}
attribute_map = {
'name': 'name',
'id': 'id',
'host': 'host',
'notification': 'notification',
'version': 'version',
'v2c': 'v2c',
'v3': 'v3'
}
required_args = {
}
def __init__(
self,
name=None, # type: str
id=None, # type: str
host=None, # type: str
notification=None, # type: str
version=None, # type: str
v2c=None, # type: models.SnmpV2c
v3=None, # type: models.SnmpV3
):
"""
Keyword args:
name (str): A name chosen by the user. Can be changed. Must be locally unique.
id (str): A non-modifiable, globally unique ID chosen by the system.
host (str): DNS hostname or IP address of a computer that hosts an SNMP manager to which Purity is to send trap messages when it generates alerts.
notification (str): The type of notification the agent will send. Valid values are `inform` and `trap`.
version (str): Version of the SNMP protocol to be used by Purity in communications with the specified manager. Valid values are `v2c` and `v3`.
v2c (SnmpV2c)
v3 (SnmpV3)
"""
if name is not None:
self.name = name
if id is not None:
self.id = id
if host is not None:
self.host = host
if notification is not None:
self.notification = notification
if version is not None:
self.version = version
if v2c is not None:
self.v2c = v2c
if v3 is not None:
self.v3 = v3
def __setattr__(self, key, value):
if key not in self.attribute_map:
raise KeyError("Invalid key `{}` for `SnmpManager`".format(key))
self.__dict__[key] = value
def __getattribute__(self, item):
value = object.__getattribute__(self, item)
if isinstance(value, Property):
return None
else:
return value
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.swagger_types):
if hasattr(self, attr):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
if issubclass(SnmpManager, dict):
for key, value in self.items():
result[key] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, SnmpManager):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
| [
"tlewis@purestorage.com"
] | tlewis@purestorage.com |
af8ae257b3d500b84f630ff8f93ffed08e118e8a | 76d665df937da46d3fab9a6e363a2f6931feff4a | /TravelGear/urls.py | bf3f34924206dfafc9cb05843e778a752685a62b | [] | no_license | 17201078/Project-CSE-310-17201078 | 23e325ddb8c62ce728ef35b84163a5badd0e76f4 | 2e444c7070a903ac4424aee0df4bc3abb9b2c7f8 | refs/heads/master | 2023-05-04T04:54:04.234060 | 2021-05-25T07:46:31 | 2021-05-25T07:46:31 | 370,586,058 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 232 | py | from django.urls import path, include
from django.contrib import admin
from django.conf.urls.static import static
from .import settings
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('store.urls')),
]
| [
"76899576+17201078@users.noreply.github.com"
] | 76899576+17201078@users.noreply.github.com |
12cf351f21aa609e58f988aa0bf3d97763273cad | c50becdbb9bf2e2793a55d775d6554a01969c4f0 | /bucle_while2_python.py | 9e38cdab390718fc9acf854423c122d4412bfcca | [] | no_license | Victormaximus/ejercicios_programacion | df7a536921f75be9cd6e73ee9c087b68e3061f5f | e2ea7e15e26309a4dec93e326833592c85b5ec41 | refs/heads/master | 2020-04-29T13:20:52.926339 | 2019-03-18T00:16:16 | 2019-03-18T00:16:16 | 176,166,997 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 262 | py | VariableContador = 0
while VariableContador <= 10:
VariableNumerica = int(input("inserte la variable: "))
if VariableNumerica >= 50:
VariableContador = VariableContador + 1
if VariableNumerica % 2 != 0:
print(VariableNumerica) | [
"victormanuelchami@hotmail.com"
] | victormanuelchami@hotmail.com |
505bdbc5051899409c5705d3b571bf3e7d806e50 | 81fab92212f48d0719a44770ec6b57336c5e0b59 | /novela/_utils/metaclass.py | 8a200c262cba61b8d2755524171f9d2d17f6e4ab | [] | no_license | Zessay/novel_analysis | 954bd4b624a994ed0d48959c307cbe4a1f710f1f | a07087a77d6e0c7eeb0a7b4da23baac9bbbfb3d6 | refs/heads/master | 2023-03-13T06:56:31.062182 | 2021-03-05T04:36:33 | 2021-03-05T04:36:33 | 332,147,656 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,732 | py | # coding=utf-8
# @Author: 莫冉
# @Date: 2021-01-22
import inspect
import enum
from typing import Iterable, Any
class LabelEnumMeta(enum.EnumMeta):
"""用于单层枚举类的元类"""
def __new__(mcs, name, bases, attrs):
obj = super().__new__(mcs, name, bases, attrs)
obj._value2member_map_ = {}
# value表示这个值对应的索引
# display_name表示这个枚举类对应的中文名
# description对应该枚举类的描述
# children对应存在二级类别的枚举类
for m in obj:
if isinstance(m.value, (tuple, list)):
if len(m.value) == 2:
value, display_name = m.value
m._value_ = value
m.display_name = display_name
m.children = None
elif len(m.value) == 3:
value, display_name, description = m.value
m._value_ = value
m.display_name = display_name
m.description = description
m.children = None
elif len(m.value) == 4:
value, display_name, description, children = m.value
m._value_ = value
m.display_name = display_name
m.description = description
m.children = children
else:
value = m.value
else:
value = m.value
obj._value2member_map_[value] = m
return obj
class LoadEnumInterface(enum.Enum):
"""用于动态加载枚举类"""
@classmethod
def get_all_subclasses(cls) -> Iterable[Any]:
"""
Return a generator of all subclasses
"""
for subclass in cls.__subclasses__():
yield from subclass.get_all_subclasses()
yield subclass
@classmethod
def load_class(cls, class_name) -> Any:
"""
Return a subclass of ``class_name``, case insensitively
:param cls_name (str): target class name
:return:
"""
result = None
for subclass in cls.get_all_subclasses():
# print(subclass.__name__.lower())
if subclass.__name__.lower() == class_name.lower():
if result is None:
result = subclass
else:
raise RuntimeError('There are two classes with the name "{}" located at "{}" and "{}". '
'You have to remove one of them to make "load_class" work normally.'.format(
class_name, inspect.getfile(result), inspect.getfile(subclass)))
return result | [
"zhushuai0403@163.com"
] | zhushuai0403@163.com |
6e66e6b7f8c7581380e43ea9c3a4c406187486fc | afdfcad1fddbe347c508a4ee1370bc1798fde00e | /day5.py | f657389c7714ebe61cdca578c151652ea27dedc5 | [] | no_license | muszkin/advent-of-code-2020 | 67213884bde2740cfed2b0e9595cf9e57a3761aa | 9e0988d2a6909ba740a24530d4d1cd2bb8786be3 | refs/heads/main | 2023-01-30T18:46:18.222106 | 2020-12-13T11:36:03 | 2020-12-13T11:36:03 | 316,169,343 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 693 | py | def get(seat_row: str, ran: list):
for index, sr in enumerate(seat_row):
if index == len(seat_row) - 1:
if sr == "F" or sr == "L":
return ran[0]
else:
return ran[1]
if sr == "F" or sr == "L":
ran = ran[0:int(len(ran)/2)]
else:
ran = ran[int(len(ran)/2):]
file = open("day5-input.txt", "r")
seats = map(str, file.read().split("\n"))
ids = []
for seat in seats:
row = get(seat[0:7], list(range(0, 128)))
column = get(seat[7:], list(range(0, 8)))
ids.append(row * 8 + column)
print(max(ids))
for i in ids:
if i + 2 in ids and i + 1 not in ids:
print(i + 1)
| [
"muszkin@gmail.com"
] | muszkin@gmail.com |
ec24dedcdd0573e9451d4dea70c5855bbdc88e40 | 9ea87c10180665db0db6fa36997704acc001692d | /guides/rpi/mqpy.py | 03d24816e17afe46ede57671d9fc9ac55ed158e1 | [
"MIT"
] | permissive | ToraNova/library | 8af942f4657ebc07043848616e5b75cdace67212 | 20b321302868e8c2ce8723c808aa9e7a313e2cb8 | refs/heads/master | 2021-07-13T07:57:40.631816 | 2020-07-02T18:41:08 | 2020-07-02T18:41:08 | 159,255,786 | 0 | 0 | MIT | 2019-05-17T05:43:34 | 2018-11-27T01:16:08 | Python | UTF-8 | Python | false | false | 3,535 | py | #!/usr/bin/python3
# Simple python-gpio for raspberry pi GPIO detection
# uses callback events
import time, datetime, sys
import RPi.GPIO as gpio
import paho.mqtt.client as mqtt
from gpiomq import GPIOMQTT
from utilog import srvlog as log
import configparser #for config parsing
#defining callback behavior
def on_connect(client, userdata, flags, rc):
client.connected_flag=True
verbose_log("Connected to broker with rc:{}".format(rc),'i','sys')
def on_disconnect(client,userdata,rc):
client.connected_flag=False
verbose_log("Disconnected from broker with rc:"+str(rc),'e','sys')
def pkgprint(str):
print("{}[MAIN] ".format(datetime.datetime.now()),str)
def verbose_log(str,logtype,logname):
if(logtype == 'i'):
log[logname].info(str)
elif(logtype == 'e'):
log[logname].error(str)
elif(logtype == 'w'):
log[logname].warning(str)
else:
verboseprint("Logtype error")
verboseprint(str)
if __name__ == "__main__":
# CONFIG PARSING ####################################################
config = configparser.RawConfigParser()
config.read("host.conf")
hostaddr = config.get('conn','hostaddr')
hostport = int(config.get('conn','port'))
selfid = config.get('conn','clientid')
b1pin = int(config.get('detc','b1_pin'))
b2pin = int(config.get('detc','b2_pin'))
en1 = True if config.get('detc','en_1') == "1" else False
en2 = True if config.get('detc','en_2') == "1" else False
verbose = True if config.get('detc','verbose') == "1" else False
alcd_timer = int(config.get('detc','alcd')) #radar cooldown timer
#####################################################################
verboseprint = pkgprint if verbose else lambda *a, **k: None
pinlist = [b1pin,b2pin]
#creates the mqtt client and attaches the callbacks
client = mqtt.Client()
client.on_connect = on_connect
client.on_disconnect = on_disconnect
client.zid = selfid
client.en1 = en1
client.en2 = en2
client.connected_flag = False
# MQTT SETUP ########################################################
verbose_log("System init, waiting for primary server...",'i','sys')
verbose_log("Attempting to connect to host {} on port {}".format(hostaddr,hostport),'i','sys')
while True:
# keep trying until end of time
try:
client.connect(hostaddr,hostport,30) #CONNECT TO MQTT BROKER
break
except Exception as e:
verbose_log("MQTT broker conn err: "+str(e),'e','sys')
time.sleep(3)
client.publish('zfence/wire',"{},{}".format(selfid,0))
verbose_log("Starting loop...",'i','sys')
ctime = datetime.datetime.now()
rtime = datetime.datetime.now()
try:
m = GPIOMQTT(gpio, pinlist, client, verbose)
while True:
try:
client.loop()
cdelt = datetime.datetime.now() - ctime
rdelt = datetime.datetime.now() - rtime
cdiff = divmod(cdelt.days * 86400 + cdelt.seconds, 60)
rdiff = divmod(rdelt.days * 86400 + rdelt.seconds, 60)
if(cdiff[1] > 30):
#timer expired
ctime = datetime.datetime.now() #reset timer
client.publish('zfence/wire','{},{}'.format(selfid,0))
if(rdiff[1] > 3 and not client.connected_flag):
rtime = datetime.datetime.now()
try:
client.reconnect()
except Exception as e:
verbose_log("MQTT broker reconn err: "+str(e),'e','sys')
except KeyboardInterrupt:
verbose_log("Quitting loop...",'w','sys')
raise KeyboardInterrupt #elevate it to the outer try catch block
except KeyboardInterrupt:
print("Loop terminated")
except Exception as e:
#catch all
print("Error has occurred :",str(e))
finally:
gpio.cleanup()
| [
"chia_jason96@live.com"
] | chia_jason96@live.com |
40e70b4a488818d46d8b3bda7dd401256a057ef0 | c0f285754eb9e2be6db11ae9a00a18a5630cad66 | /picture_manage/picture/urls.py | 01f476f17139f508ebf5c5b8157927f64235921d | [] | no_license | qjx666/document-manage | 27ae56ece5303531e85297525792101b88c7c81d | 2d3cb37304d65020d9c147afbff95892dbb1e5c7 | refs/heads/master | 2022-01-30T19:30:56.314775 | 2019-05-29T13:21:30 | 2019-05-29T13:21:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 663 | py | # -*- coding:utf-8 -*-
# 为应用程序users定义URL模式
from django.urls import path,include,re_path
from . import views
urlpatterns = [
# 主页面
re_path(r'submit$', views.submit, name='submit'),
re_path(r'modify$', views.modify, name='modify'),
re_path(r'add$',views.add,name="add"),
re_path(r'multiply-(\d+)-(\d+)$',views.multiply,name="multiply"),
re_path(r'search.html$',views.search,name="search"),
re_path(r'picture', views.picture, name='picture'),
re_path(r'delete_(\d+)$', views.delete, name='delete'),
path('download/<int:a>', views.download, name='download'),
re_path(r'test$', views.test_image, name='test'),
]
| [
"2380383965@qq.com"
] | 2380383965@qq.com |
7a8e34489199616f0421ed4a450e58123ba9d7ad | 29981fa8b38f785dfe917fafbf1a07956eb021e9 | /python/lsst/sims/operations/SeqHistory.py | e98be1e794e8160471fa47c16930bfbe35a6d10e | [] | no_license | humnaawan/sims_operations | f9f33b6a5113c05fbafc91ac6865389cb83af446 | ab2bf2e872ce788772cb5e980542ef342110ac52 | refs/heads/master | 2020-07-27T22:42:31.032318 | 2017-01-20T05:17:32 | 2017-01-20T05:17:32 | 73,422,733 | 0 | 1 | null | 2017-01-20T05:12:51 | 2016-11-10T21:35:15 | Python | UTF-8 | Python | false | false | 4,196 | py | #!/usr/bin/env python
"""
SeqHistory
Inherits from: LSSTObject : object
Class Description
The SeqHistory class is an interface to the SeqHistory database.
It provides methods to ingest data into the database and to retrieve
data from it.
Method Types
Constructor/Initializers
- __init__
DB Access
- addObservation
- getObservation
- cleanupProposal
"""
from utilities import *
from LSSTObject import *
from Observation import *
class SeqHistory (LSSTObject):
def __init__ (self,
lsstDB,
dbTableDict=None,
log=False,
logfile='./SeqHistory.log',
verbose=0):
"""
Standard initializer.
lsstDB LSST DB access object
dbTableDict:
log: False if not set; else log = logging.getLogger("....")
logfile: name (and path) of the desired log file
(defaults to ./SeqHistory.log)
verbose: integer specifying the verbosity level (defaults to 0).
-1=none, 0=min, 1=wordy, >1=very verbose
"""
self.lsstDB = lsstDB
self.dbTableDict = dbTableDict
# Setup logging
if (verbose < 0):
logfile = "/dev/null"
elif ( not log ):
print "Setting up SeqHistory logger"
log = logging.getLogger("Simulator")
hdlr = logging.FileHandler(logfile)
formatter = logging.Formatter("%(asctime)s %(levelname)s %(message)s")
hdlr.setFormatter(formatter)
log.addHandler(hdlr)
log.setLevel(logging.INFO)
self.log = log
self.logfile = logfile
self.verbose = verbose
if ( self.log and self.verbose > 1):
self.log.info('SeqHistory: init()')
#for key in self.dbTableDict:
# print "SeqHistory: Database tables: " + key,self.dbTableDict[key]
return
# DB Access methods
def addSequence (self, seq, fieldID, sessionID,obsdate,status):
"""
Ingest the given Observation instance into the database.
Input
seq Sequence instance.
sessionID: An integer identifying this particular run.
obsdate: date of final event
status: reason for sequence completion
Return
None
Raise
Exception in case of error in the ingestion procedure.
"""
if ( self.log and self.verbose > 1):
self.log.info('SeqHistory: addObservation(): dbTableKey:%s' % (self.dbTableDict['seqHistory']))
numRequestedEvents = seq.GetNumTargetEvents()
numActualEvents = seq.GetNumActualEvents()
tmpSeqHistoryDB = self.dbTableDict['seqHistory']
sql = "INSERT INTO %s VALUES (NULL, %d, %d, %d, %d, %d, %d, %f, %d, %d, '%d')" \
% ( self.dbTableDict['seqHistory'],\
sessionID,\
seq.date,\
obsdate,\
seq.propID,\
fieldID,\
seq.seqNum,
seq.GetProgress(),
numRequestedEvents,
numActualEvents,
status)
# (n, dummy) = self.lsstDB.executeSQL (sql)
return
def cleanupProposal (self,
propID,
sessionID):
"""
Cleans up the SeqHistory database by removing all the entries
relative to a given proposal ID.
Input
propID: An integer identifying a particular proposal.
sessionID: An integer identifying this particular run.
Return
None
Raise
Exception in case of error in the ingestion procedure.
"""
if ( self.log and self.verbose > 1):
self.log.info('SeqHistory: cleanupProposal()')
# sql = 'DELETE FROM %s WHERE ' % (self.dbTableDict['seqHistory'])
# sql += 'propID=%d AND ' % (propID)
# sql += ' sessionID=%d' % (sessionID)
#
# (n, res) = self.lsstDB.executeSQL (sql)
return
# TESTS
if (__name__ == '__main__'):
pass
| [
""
] | |
5e2fff9451f4a7d4a40d060837845604ee8577a8 | 489b53afe55712946d15bd4371acad4f9f7d674e | /sandbox.py | f45d3f9d77a6913f779a255f1b17ce0eb056edad | [] | no_license | jardmclan/rfstation | c3ed69d2874f86485f1371d26e8d650f34f01a76 | d146660e2b242280eaf6d60f8825495acfaaeea2 | refs/heads/master | 2023-03-21T08:30:56.218209 | 2021-03-12T03:29:16 | 2021-03-12T03:29:16 | 297,444,277 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 279 | py | import re
out = b"Successfully submitted metadata object 9183465129133019626-242ac1111-0001-012".decode("utf-8")
match = re.fullmatch(r"Successfully submitted metadata object (.+)", out)
if match is not None:
uuid = match.group(1)
print(uuid)
else:
print("failed") | [
"mcleanj@hawaii.edu"
] | mcleanj@hawaii.edu |
1eab197bbfb9a7676ad53bc230af3523d720b2f0 | 8c1ad79b554cace2bc45e4484fda6914f83ed326 | /NewCompanyFrame.py | 083b96d8cd84ce6c241ba458e85ed835236091f4 | [] | no_license | CoryGeeAndDaBoiz/PythonProject | 59b0e97be486ec7066abc4ab241edbc8fd22e956 | 83ed7cd18bad5f6f239a284ea9177cd77ca3b7e1 | refs/heads/master | 2016-09-06T18:09:44.681710 | 2014-03-27T17:47:52 | 2014-03-27T17:47:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 479 | py | import wx
# Search for a new company by the stock symbol
class newCompanyFrame(wx.Frame):
def __init__(self,parent,id):
wx.Frame.__init__(self,parent,id,'Company Search',size=(1000,550))
new_comp_panel = wx.Panel(self)
wx.StaticText(new_comp_panel, -1, "Sym:", (8,13), (200,-1))
compName = wx.TextCtrl(new_comp_panel, pos=(45,10), size=(180,-1))
btn_Search = wx.Button(new_comp_panel, label="Search", pos=(227,9), size=(90,25))
| [
"corygeeanddaboiz@gmail.com"
] | corygeeanddaboiz@gmail.com |
6e510f560fa25f97fd56be7e45333f0a2683b37e | 0c7b5f78f40ac95bb5adeafb1c199e99415c8705 | /venv/Scripts/pip3-script.py | 0bd503c2eb93bfd9f3793c5abb46e702f6142842 | [] | no_license | BenoitGoethals/XmlSite | 5b00c98f460c8eca4550482255578af2036844b5 | 8328b265c264d91646ad9e710311c868c08c72db | refs/heads/master | 2022-04-08T05:57:35.887059 | 2020-02-10T06:56:16 | 2020-02-10T06:56:16 | 236,384,964 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 414 | py | #!C:\Users\benoit\PycharmProjects\XmlSite\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip3'
__requires__ = 'pip==19.0.3'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('pip==19.0.3', 'console_scripts', 'pip3')()
)
| [
"benoitgoethals@outlook.com"
] | benoitgoethals@outlook.com |
79d80c06892bcc0d65c9be037af02ee0c877cfec | b938a6e3dcf74e03c1f96e96e91a2bab0a0c2de5 | /backend/excercise.py | 25136c13deb0d10c3c92af1fe3816a8a7ea045b7 | [] | no_license | Bellinazzi31/mvp | f77f3bd2011ad42aa00a3992150da270980c5d75 | 814513bdc8311087380e4867336b1bd84a3ee1a6 | refs/heads/master | 2023-04-01T14:15:18.047210 | 2021-03-30T21:51:48 | 2021-03-30T21:51:48 | 353,132,263 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,098 | py | import mariadb
from flask import request, Response
import dbcreds
import json
import secrets
def get():
program_id = request.args.get("programId")
conn = None
cursor = None
excercises = None
try:
conn = mariadb.connect(user = dbcreds.username , port = dbcreds.port , host = dbcreds.host , password = dbcreds.password,database = dbcreds.database)
cursor = conn.cursor()
cursor.execute("SELECT * FROM excercise where program_id = ?",[program_id])
excercises = cursor.fetchall()
except Exception as ex:
print(ex)
finally:
if(conn != None):
conn.close()
if (cursor != None):
cursor.close
if(excercises !=None):
excercisesList = []
for excercise in excercises:
excer = {
"excerciseId" : excercise[0],
"programId":excercise[4],
"title":excercise[1],
"description":excercise[2],
"period": excercise[3]
}
excercisesList.append(excer)
return Response(json.dumps(excercisesList,default=str),mimetype="application/json",status=200)
else:
return Response("Bad request",mimetype="html/text",status=400)
def post():
program_id = request.json.get("programId")
description = request.json.get("description")
period = request.json.get("period")
title = request.json.get("title")
login_token = request.json.get("loginToken")
conn = None
cursor = None
excercise_id =None
try:
conn = mariadb.connect(user=dbcreds.username , port = dbcreds.port , host = dbcreds.host , password = dbcreds.password,database = dbcreds.database)
cursor = conn.cursor()
cursor.execute("SELECT * FROM user INNER JOIN user_session on user.id = user_session.user_id WHERE user.user_role = ? AND user_session.login_token=?",["Coach",login_token])
coach = cursor.fetchall()
if len(coach) == 1 :
cursor.execute("INSERT INTO excercise (title,description,program_id,period) VALUES (?,?,?,?)",[title,description,program_id,period])
conn.commit()
excercise_id = cursor.lastrowid
except Exception as ex:
print(ex)
finally:
if(conn != None):
conn.close()
if (cursor != None):
cursor.close
if excercise_id !=None :
excercise = {
"excerciseId" : excercise_id,
"programId" : program_id,
"title" : title,
"description":description,
"period": period
}
return Response(json.dumps(excercise,default=str),mimetype="application/json",status=201)
else:
return Response("Bad request",mimetype="html/text",status=400)
def patch():
excercise_id = request.json.get("excerciseId")
description = request.json.get("description")
period = request.json.get("period")
title = request.json.get("title")
login_token = request.json.get("loginToken")
conn = None
cursor = None
excercise = None
affected_rows = None
try:
conn = mariadb.connect(user=dbcreds.username , port = dbcreds.port , host = dbcreds.host , password = dbcreds.password,database = dbcreds.database)
cursor = conn.cursor()
cursor.execute("SELECT * FROM user INNER JOIN user_session on user.id = user_session.user_id WHERE user.user_role = ? AND user_session.login_token=?",["Coach",login_token])
coach = cursor.fetchall()
if len(coach) == 1 :
if description !=None and description !="" :
cursor.execute("UPDATE excercise SET description = ? where id =?",[description,excercise_id])
if period !=None and period !="" :
cursor.execute("UPDATE excercise SET period = ? where id =?",[period,excercise_id])
if title !=None and title !="" :
cursor.execute("UPDATE excercise SET title = ? where id =?",[title,excercise_id])
conn.commit()
affected_rows = cursor.rowcount
cursor.execute("SELECT * FROM excercise where id = ? ",[excercise_id])
excercise = cursor.fetchall()[0]
except Exception as ex:
print(ex)
finally:
if(conn != None):
conn.close()
if (cursor != None):
cursor.close
if affected_rows ==1 :
excercise_details = {
"excerciseId" : excercise[0],
"programId":excercise[4],
"title":excercise[1],
"description":excercise[2],
"period": excercise[3]
}
return Response(json.dumps(excercise_details,default=str),mimetype="application/json",status=201)
else:
return Response("Bad request",mimetype="html/text",status=400)
def delete():
excercise_id = request.json.get("excerciseId")
login_token = request.json.get("loginToken")
conn = None
cursor = None
affected_rows = None
try:
conn = mariadb.connect(user=dbcreds.username , port = dbcreds.port , host = dbcreds.host , password = dbcreds.password,database = dbcreds.database)
cursor = conn.cursor()
cursor.execute("SELECT * FROM user INNER JOIN user_session on user.id = user_session.user_id WHERE user.user_role = ? AND user_session.login_token=?",["Coach",login_token])
coach = cursor.fetchall()
if len(coach) == 1 :
cursor.execute("DELETE FROM excercise where id = ?",[excercise_id])
conn.commit()
affected_rows = cursor.rowcount
except Exception as ex:
print(ex)
finally:
if(conn != None):
conn.close()
if (cursor != None):
cursor.close
if affected_rows ==1 :
return Response("Delete success",mimetype="html/text",status=204)
else:
return Response("Bad request",mimetype="html/text",status=400)
| [
"bellinazzifelipe@gmail.com"
] | bellinazzifelipe@gmail.com |
61800e0e35fd39838b134dc03a188b2128beb559 | 387721add1f00b836f8b62b348ebcd02e4cb40c0 | /Location/views.py | 3a7bd8ff63bbe5ea543b04bb09e3c9f976d9be00 | [] | no_license | assissh/Landing-Page | 9d3f35b141ab4980782d90288c16cca9ca50569a | a96119324b2fcf9d5e4eda5dd9b2681368b9c113 | refs/heads/master | 2020-03-08T10:16:15.518352 | 2018-04-04T13:51:36 | 2018-04-04T13:51:36 | 128,068,636 | 0 | 0 | null | 2018-04-04T13:48:11 | 2018-04-04T13:48:10 | null | UTF-8 | Python | false | false | 2,848 | py | # from django.shortcuts import render
from django.contrib.auth.mixins import LoginRequiredMixin # for autherising users
from django.views.generic import ListView, DetailView
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from . import models
from django.urls import reverse_lazy
# Create your views here.
# Create Location Here
class LocationCreateView(LoginRequiredMixin, CreateView):
model = models.Location
template_name = 'Location/Location_new.html'
login_url = 'login'
# Decide fields for taking input Here
fields = ['Location_Area','Location_Authorities_Involved','Location_Budget','Location_Comment','Location_City','Location_Category','Location_Description','Location_District','Location_Images','Location_Locality','Location_Name','Location_Postal_Address','Location_Creator','Location_Financial','Location_Id','Location_Latitude','Location_Longitude','Location_Subcategory','Location_Modifications_Allowed','Location_Ownership_Status','Location_Pincode','Location_Profile_Project','Location_Restrictions','Location_State','Location_Rating','Location_Street_Address','Location_Shooting_Aminities','Location_Video','Location_Surrounding']
# Set fields from current data or automated data
def form_valid(self, form):
form.instance.Location_Author = self.request.user
return super().form_valid(form)
# Location Details Here
class LocationDetailView(LoginRequiredMixin, DetailView):
model = models.Location
template_name = 'Location/Location_detail.html'
login_url = 'login'
# Location ListView Here
class LocationListView(ListView):
model = models.Location
template_name = 'Location/Location_list.html'
login_url = 'login'
# Location Update Here
class LocationUpdateView(LoginRequiredMixin, UpdateView):
model = models.Location
# Decide fields for editing Here
fields = ['Location_Area','Location_Authorities_Involved','Location_Budget','Location_Comment','Location_City','Location_Category','Location_Description','Location_District','Location_Images','Location_Locality','Location_Name','Location_Postal_Address','Location_Creator','Location_Financial','Location_Id','Location_Latitude','Location_Longitude','Location_Subcategory','Location_Modifications_Allowed','Location_Ownership_Status','Location_Pincode','Location_Profile_Project','Location_Restrictions','Location_State','Location_Rating','Location_Street_Address','Location_Shooting_Aminities','Location_Video','Location_Surrounding']
template_name = 'Location/Location_update.html'
login_url = 'login'
# Location Delete here
class LocationDeleteView(LoginRequiredMixin,DeleteView):
model = models.Location
template_name = 'Location/Location_delete.html'
success_url = reverse_lazy('Location_list')
login_url = 'login'
| [
"rashish66@gmail.com"
] | rashish66@gmail.com |
90991c9b16713b45c5b717e36eebb064ee357850 | 921b3a67a24df947f085e93ba58833ec20f6b89e | /producer-tutorial/Lib/site-packages/faker/providers/address/hi_IN/__init__.py | 264e08f7220d2c3d393bc8cad459d9ff9b4e7339 | [] | no_license | jaslanm/python | e3bacd7ad0020b7e11adcb1b17dd6da3e4b2f65c | 5cfa3913b89acb0b8cf79247de1b2820a8b92f3a | refs/heads/main | 2023-08-30T01:53:13.752918 | 2021-10-23T13:24:48 | 2021-10-23T13:24:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,640 | py | from .. import Provider as AddressProvider
class Provider(AddressProvider):
city_formats = ('{{city_name}}', )
street_name_formats = (
'{{first_name}} {{last_name}}',
'{{last_name}}',
)
street_address_formats = ('{{building_number}} {{street_name}}', )
address_formats = ('{{street_address}}\n{{city}} {{postcode}}',
'{{street_address}}\n{{city}}-{{postcode}}')
building_number_formats = (
'####', '###', '##', '#', '#/#', '##/##', '##/###', '##/####')
postcode_formats = ('######', )
cities = (
'आदिलाबाद',
'अगरतला',
'अहमदाबाद',
'अहमदनगर',
'अजमेर',
'अम्बाजी',
'अमरपुर',
'इलाहाबाद',
'अकोला',
'अखनूर',
'अन्तर्गत',
'अलांग',
'अलीगढ',
'दादरा और नगर हवेली',
'अमरावती',
'अमरोहा',
'अनन्तपुर',
'करना',
'जिससेबेलारी',
'अनंतनाग',
'भागलपुर',
'भद्रक',
'बचेली',
'बहादुरगंज',
'बहादुरगढ',
'चिरमिरी',
'चिराला',
'चित्रदुर्ग',
'चित्तूर',
'चित्रकूट',
'देवगढ़',
'दालखोला',
'देवास',
'चंडीगढ',
'चिपलुन',
'चक्रधरपुर',
'चंबा',
'फतहपुर',
'फतेहपुर',
'फतेहगढ',
'सभापतिने',
'देवगढ़',
'धर्मापुरी',
'पाकाला',
'धारवाड',
'असम',
'देहरा',
'रानीताल',
'खडगपुर',
'मोकामा',
'मोकोकचुंग',
'जिलोंपर',
'विस्तारण',
'मोतिहारी',
'लखनऊ',
'मुंबई',
'हैदराबाद',
)
states = (
'अरूणाचल प्रदेश',
'बिहार',
'असम',
'आंध्र प्रदेश',
'छत्तीसगढ',
'हरियाणा',
'गुजरात',
'हिमाचल प्रदेश',
'गोवा',
'मध्य प्रदेश',
'महाराष्ट्र',
'जम्मू और कश्मीर',
'केरल',
'कर्नाटक',
'मणिपुर',
'मिजोरम',
'मेघालय',
'सिक्किम',
'राजस्थान',
'पंजाब',
'उडीसा',
'उत्तरांचल',
'उत्तर प्रदेश',
'तमिलनाडु',
'त्रिपुरा',
'पश्चिमी बंगाल',
'अंडमान और निकोबार',
'दमन और दीव',
'दादरा और नगर हवेली',
'दिल्ली',
'पांडिचेरी',
'लक्षद्वीप',
)
countries = (
'आर्मीनिया',
'यू.के.',
'फ्रांस',
'फलस्तीन',
'मिस्र',
'ब्राज़ील',
'ईरान',
'यूनान',
'स्पेन',
'जॉर्जिया',
'लेबनान',
'सायप्रस',
'सीरिया',
'कनाडा',
'रूस',
'संयुक्त राज्य अमरीका',
'नेदर्लान्ड',
'ऑस्ट्रेलिया',
'एंटीगुआ',
'बार्बुडा',
'ऑस्ट्रिया',
'अज़रबाइजान',
'बारबाडोस',
'बेलारूस',
'बेल्जियम',
'बेलीज़',
'बेनिन',
'बहामास',
'बहरीन',
'बांग्लादेश',
'भूटान',
'बोलिविया',
'बोस्निया',
'हर्जेगोविना',
'बोत्सवाना',
'ब्रुनेई',
'बुल्गारिया',
'बुर्किना फ़ासो',
'बर्मा',
'बुरूंडी',
'डोमिनिकन रिपब्लिक',
'गिनिया',
'टीमोर',
'फ़िनलैंड',
'गेबोन',
'गाम्बिया',
'जर्मनी',
'ग्रेनेडा',
'घाना',
'ग्रेट ब्रिटेन',
'हंगरी',
'भारत',
'हिन्दुस्तान',
'इराक',
'आयरलैंड',
'इंडोनेशिया',
'इटली',
'जमैका',
'जॉर्डन',
'जापान',
'क़जाख़स्तान',
'केन्या',
'किरिबाती',
'दक्षिण कोरिया',
'लातविया',
'लाओस',
'उत्तर कोरिया',
'कोसोवो',
'कुवैत',
'लेबनान',
'लिचटीनस्टीन',
'लिथुआनिया',
'लक्समबर्ग',
'लीबिया',
'लाइबेरिया',
'लेसोथो',
'नेपाल',
'न्यूज़ीलैण्ड',
'निकारागुआ',
'नाइजर',
'नाउरू',
'सेंट लुसिया',
'रोमानिया',
'अरब अमीरात',
'यूएई',
'युगांडा',
'यूक्रेन',
'उरूग्वे',
'उज़बेकिस्तान',
'यूनाइटेड किंगडम',
'वानुआतू',
'वेटिकन सिटी',
'वेनेजुएला',
'पश्चिमी सहारा',
'वियतनाम',
'यमन',
'ज़ायर',
'ज़ाम्बिया',
'ज़िम्बाब्वे',
'पाकिस्तान',
'सउदी अरब',
'ओमान',
'क़तर',
'ट्यूनीशिया',
'मोरक्को',
'तुर्की',
'श्रीलंका',
'अफ़ग़ानिस्तान',
)
def city_name(self) -> str:
return self.random_element(self.cities)
def administrative_unit(self) -> str:
return self.random_element(self.states)
state = administrative_unit
| [
"jaslanm@gmail.com"
] | jaslanm@gmail.com |
873f76582d06ee71c7abd38a0f534e3e159b182a | e07f6732fa210844f1d6ef27aedd986a95e0aafa | /src/locations/views.py | 935b848c158120e8b3724e8f1f4b3b7ec9dd3956 | [] | no_license | jbierfeldt/WAMC | 325058ca17fa6a9be09a4dacf816c8d086ff0ef9 | cec9caa944730e931c74ed742c293dd4ee4e4d68 | refs/heads/master | 2021-04-12T05:06:25.412149 | 2015-05-11T14:58:29 | 2015-05-11T14:58:29 | 24,379,256 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,361 | py | from django.core import serializers
from django import http
from django.utils.text import slugify
import json
import re
from django.views.generic.detail import BaseDetailView
from locations.models import Location
class JSONResponseMixin(object):
def render_to_response(self, context):
"Returns a JSON response containing 'context' as payload"
return self.get_json_response(self.convert_context_to_json(context))
def get_json_response(self, content, **httpresponse_kwargs):
"Construct an `HttpResponse` object."
return http.HttpResponse(content,
content_type='application/json',
**httpresponse_kwargs)
def convert_context_to_json(self, context):
"Convert the context dictionary into a JSON object"
data_struct = {
'name': context['object'].name,
'lat': context['object'].lat,
'lng': context['object'].lng
}
return json.dumps(data_struct)
class LocationDetailView(BaseDetailView, JSONResponseMixin):
model = Location
def get_object(self, queryset=None):
clean_split = re.split('-(?=[0-9])|\s(?=[0-9])', self.request.GET['tag'])
print clean_split
slug = slugify(clean_split[0])
print slug
obj = Location.objects.get(tags__slug=slug)
return obj
# Create your views here.
| [
"jbierfeldt@gmail.com"
] | jbierfeldt@gmail.com |
56e3aa24312bd0459505ed4fef97735acd309444 | 5672737d1ff34bebfeb408426e52ed49df8be3bb | /graphgallery/attack/targeted/common/dice.py | 199c77c82ff5a357cfc3632765515866b0b07504 | [
"MIT"
] | permissive | sailfish009/GraphGallery | 5063ee43340a6ca8da9f2d7fb3c44349e80321b2 | 4eec9c5136bda14809bd22584b26cc346cdb633b | refs/heads/master | 2023-08-24T19:19:59.714411 | 2021-10-16T10:10:40 | 2021-10-16T10:10:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,398 | py | import random
import numpy as np
from graphgallery.attack.targeted import Common
from .rand import RAND
@Common.register()
class DICE(RAND):
def add_edge(self, influence_nodes):
u = random.choice(influence_nodes)
neighbors = self.graph.adj_matrix[u].indices.tolist()
potential_nodes = list(self.nodes_set - set(neighbors) -
set([self.target, u]))
if len(potential_nodes) == 0:
return None
v = random.choice(potential_nodes)
label = self.graph.node_label
if not self.is_modified(u, v) and (label[u] != label[v]):
return (u, v)
else:
return None
def del_edge(self, influence_nodes):
u = random.choice(influence_nodes)
neighbors = self.graph.adj_matrix[u].indices.tolist()
potential_nodes = list(set(neighbors) - set([self.target, u]))
if len(potential_nodes) == 0:
return None
v = random.choice(potential_nodes)
if not self.allow_singleton and (self.modified_degree[u] <= 1
or self.modified_degree[v] <= 1):
return None
label = self.graph.node_label
if not self.is_modified(u, v) and (label[u] == label[v]):
return (u, v)
else:
return None
| [
"cnljt@outlook.com"
] | cnljt@outlook.com |
ce68ca6a985d5ee7aaf94ae58cdf1018d16e5b87 | fab14fae2b494068aa793901d76464afb965df7e | /benchmarks/f3_wrong_hints/scaling_nonlinear_software/4-19_24.py | 64ccf5f9ec01d994ed630115ca20592c032bc646 | [
"MIT"
] | permissive | teodorov/F3 | 673f6f9ccc25acdfdecbfc180f439253474ba250 | c863215c318d7d5f258eb9be38c6962cf6863b52 | refs/heads/master | 2023-08-04T17:37:38.771863 | 2021-09-16T07:38:28 | 2021-09-16T07:38:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,964 | py | from typing import FrozenSet, Tuple
import pysmt.typing as types
from pysmt.environment import Environment as PysmtEnv
from pysmt.fnode import FNode
from utils import symb_to_next
from hint import Hint, Location
def transition_system(env: PysmtEnv) -> Tuple[FrozenSet[FNode], FNode, FNode,
FNode]:
assert isinstance(env, PysmtEnv)
mgr = env.formula_manager
pc = mgr.Symbol("pc", types.INT)
x = mgr.Symbol("x", types.INT)
y = mgr.Symbol("y", types.INT)
z = mgr.Symbol("z", types.INT)
x_pc = symb_to_next(mgr, pc)
x_x = symb_to_next(mgr, x)
x_y = symb_to_next(mgr, y)
x_z = symb_to_next(mgr, z)
symbols = frozenset([pc, x, y, z])
n_locs = 5
int_bound = n_locs
pcs = []
x_pcs = []
ints = [mgr.Int(i) for i in range(int_bound)]
for l in range(n_locs):
n = ints[l]
pcs.append(mgr.Equals(pc, n))
x_pcs.append(mgr.Equals(x_pc, n))
m_1 = mgr.Int(-1)
pcend = mgr.Equals(pc, m_1)
x_pcend = mgr.Equals(x_pc, m_1)
# initial location.
init = pcs[0]
# control flow graph.
cfg = mgr.And(
# pc = -1 : -1,
mgr.Implies(pcend, x_pcend),
# pc = 0 & !(y >= 1) : -1,
mgr.Implies(mgr.And(pcs[0], mgr.Not(mgr.GE(y, ints[1]))), x_pcend),
# pc = 0 & y >= 1 : 1,
mgr.Implies(mgr.And(pcs[0], mgr.GE(y, ints[1])), x_pcs[1]),
# pc = 1 & !(z >= 1) : -1,
mgr.Implies(mgr.And(pcs[1], mgr.Not(mgr.GE(z, ints[1]))), x_pcend),
# pc = 1 & z >= 1 : 2,
mgr.Implies(mgr.And(pcs[1], mgr.GE(z, ints[1])), x_pcs[2]),
# pc = 2 & !(x >= 0) : -1,
mgr.Implies(mgr.And(pcs[2], mgr.Not(mgr.GE(x, ints[0]))), x_pcend),
# pc = 2 & x >= 0 : 3,
mgr.Implies(mgr.And(pcs[2], mgr.GE(x, ints[0])), x_pcs[3]),
# pc = 3 : 4,
mgr.Implies(pcs[3], x_pcs[4]),
# pc = 4 : 2,
mgr.Implies(pcs[4], x_pcs[2]))
# transition labels.
labels = mgr.And(
# (pc = -1 & pc' = -1) -> (x' = x & y' = y & z' = z),
mgr.Implies(
mgr.And(pcend, x_pcend),
mgr.And(mgr.Equals(x_x, x), mgr.Equals(x_y, y),
mgr.Equals(x_z, z))),
# (pc = 0 & pc' = -1) -> (x' = x & y' = y & z' = z),
mgr.Implies(
mgr.And(pcs[0], x_pcend),
mgr.And(mgr.Equals(x_x, x), mgr.Equals(x_y, y),
mgr.Equals(x_z, z))),
# (pc = 0 & pc' = 1) -> (x' = x & y' = y & z' = z),
mgr.Implies(
mgr.And(pcs[0], x_pcs[1]),
mgr.And(mgr.Equals(x_x, x), mgr.Equals(x_y, y),
mgr.Equals(x_z, z))),
# (pc = 1 & pc' = -1) -> (x' = x & y' = y & z' = z),
mgr.Implies(
mgr.And(pcs[1], x_pcend),
mgr.And(mgr.Equals(x_x, x), mgr.Equals(x_y, y),
mgr.Equals(x_z, z))),
# (pc = 1 & pc' = 2) -> (x' = x & y' = y & z' = z),
mgr.Implies(
mgr.And(pcs[1], x_pcs[2]),
mgr.And(mgr.Equals(x_x, x), mgr.Equals(x_y, y),
mgr.Equals(x_z, z))),
# (pc = 2 & pc' = -1) -> (x' = x & y' = y & z' = z),
mgr.Implies(
mgr.And(pcs[2], x_pcend),
mgr.And(mgr.Equals(x_x, x), mgr.Equals(x_y, y),
mgr.Equals(x_z, z))),
# (pc = 2 & pc' = 3) -> (x' = x & y' = y & z' = z),
mgr.Implies(
mgr.And(pcs[2], x_pcs[3]),
mgr.And(mgr.Equals(x_x, x), mgr.Equals(x_y, y),
mgr.Equals(x_z, z))),
# (pc = 3 & pc' = 4) -> (x' = y*z - 1 & y' = y & z' = z),
mgr.Implies(
mgr.And(pcs[3], x_pcs[4]),
mgr.And(mgr.Equals(x_x, mgr.Minus(mgr.Times(y, z), ints[1])),
mgr.Equals(x_y, y), mgr.Equals(x_z, z))),
# (pc = 4 & pc' = 2) -> (x' = x & y' = y+1 & z' = z),
mgr.Implies(
mgr.And(pcs[4], x_pcs[2]),
mgr.And(mgr.Equals(x_x, x), mgr.Equals(x_y, mgr.Plus(y, ints[1])),
mgr.Equals(x_z, z))))
# transition relation.
trans = mgr.And(cfg, labels)
# fairness.
fairness = mgr.Not(pcend)
return symbols, init, trans, fairness
def hints(env: PysmtEnv) -> FrozenSet[Hint]:
assert isinstance(env, PysmtEnv)
mgr = env.formula_manager
pc = mgr.Symbol("pc", types.INT)
x = mgr.Symbol("x", types.INT)
y = mgr.Symbol("y", types.INT)
z = mgr.Symbol("z", types.INT)
symbs = frozenset([pc, x, y, z])
x_pc = symb_to_next(mgr, pc)
x_x = symb_to_next(mgr, x)
x_y = symb_to_next(mgr, y)
x_z = symb_to_next(mgr, z)
res = []
i_0 = mgr.Int(0)
i_1 = mgr.Int(1)
i_2 = mgr.Int(2)
i_3 = mgr.Int(3)
loc0 = Location(env, mgr.GE(z, i_3))
loc0.set_progress(0, mgr.GT(x_z, z))
h_z = Hint("h_z1", env, frozenset([z]), symbs)
h_z.set_locs([loc0])
res.append(h_z)
loc0 = Location(env, mgr.GE(z, i_3), mgr.GE(y, i_0))
loc0.set_progress(1, mgr.GE(x_z, mgr.Plus(z, y)))
loc1 = Location(env, mgr.GE(z, i_3), mgr.GE(x, i_0))
loc1.set_progress(0, mgr.GE(x_z, mgr.Plus(z, i_0)))
h_z = Hint("h_z2", env, frozenset([z]), symbs)
h_z.set_locs([loc0, loc1])
res.append(h_z)
loc0 = Location(env, mgr.GE(y, i_3))
loc0.set_progress(1, mgr.Equals(x_y, mgr.Plus(y, i_1)))
loc1 = Location(env, mgr.GE(y, i_3))
loc1.set_progress(2, mgr.Equals(x_y, y))
loc2 = Location(env, mgr.GE(y, i_3))
loc2.set_progress(2, mgr.Equals(x_y, mgr.Plus(y, i_1)))
h_y = Hint("h_y4", env, frozenset([y]), symbs)
h_y.set_locs([loc0, loc1, loc2])
res.append(h_y)
loc0 = Location(env, mgr.GE(z, i_0))
loc0.set_progress(1, mgr.Equals(x_z, z))
loc1 = Location(env, mgr.GE(z, i_0))
loc1.set_progress(0, mgr.Equals(x_z, mgr.Plus(z, i_3)))
h_z = Hint("h_z4", env, frozenset([z]), symbs)
h_z.set_locs([loc0, loc1])
res.append(h_z)
return frozenset(res)
| [
"en.magnago@gmail.com"
] | en.magnago@gmail.com |
193c0f5daa4e016227ac734facb2ea5dfa3bb46f | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /amYH2SMto4yZw9E6n_19.py | 6ad4dab5e20ba6ba2aa12a7d60bbef1fcaf658e6 | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,180 | py | """
Write a function that returns `True` if the phone number is in a valid format.
Valid formats are as follows:
**With Country Code**| **Without Country Code**
---|---
+1-892-445-7663| 892-445-7663
1-892-445-7663| (892) 445-7663
1 (892) 445-7663| 892.567.8901
1.892.567.8901| 1/892/567/8901
1 892 567 8901| 892/567/8901
18925678901| 892 567 8901
### Examples
validate("578-332-1114") ➞ True
validate("57-332-1114") ➞ False
validate("577 332 1114") ➞ False
# More than one space in between digits clusters.
validate("57 332 1114") ➞ False
# Unacceptable digit cluster length.
validate("157%332-1114") ➞ False
# Unacceptable delimiter.
### Notes
* The country code will always be `+1` or `1`.
* Each phone number will contain either 10 or 11 digits (depending on whether the country code exists).
* There must either be exactly one space, a delimiter, or no space at all between the digit clusters.
* You do not have to worry about extensions.
"""
import re
def validate(s):
return bool(re.match(r'(?:\+?\d)?[- ./]?(?:\d{3}|\(\d{3}\))[- ./]?\d{3}[- ./]?\d{4}', s))
| [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
c6ddaf30fbca2509de73210a8c1e50c08424d871 | 1f8fa8755e19d521caa5c4063a2d3518bd925f83 | /mysql-from-python.py | 5fb47cbf157a9f1b0d8ce19a54c60fab3f697e5e | [] | no_license | Artrage/pymysql | d26fc737795d83310a85bfe51c9f6ddd784c74bd | f70a6e78fea65f39cdb80b722241ff8132a9b736 | refs/heads/master | 2022-12-22T15:05:27.426315 | 2020-09-15T12:02:14 | 2020-09-15T12:02:14 | 294,419,908 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 631 | py | import os
import pymysql
# Get username from Cloud9 workspace
# (modify this variable if running on another environment)
username = os.getenv('C9_USER')
# Connect to the database
connection = pymysql.connect(host='localhost',
user=username,
password='',
db='Chinook')
try:
# Run a query
with connection.cursor() as cursor:
sql = "SELECT * FROM Artist;"
cursor.execute(sql)
result = cursor.fetchall()
print(result)
finally:
# Close connection whether or not the above worked
connection.close()
| [
"art.balenok@gmail.com"
] | art.balenok@gmail.com |
9b0a028dc463c20bab0b5cd04f3a053169274e09 | dccd1058e723b6617148824dc0243dbec4c9bd48 | /codeforces/837A.py | 1e2ca2f8f3888d7535474d2dcd8b5df8a1b593e2 | [] | no_license | imulan/procon | 488e49de3bcbab36c624290cf9e370abfc8735bf | 2a86f47614fe0c34e403ffb35108705522785092 | refs/heads/master | 2021-05-22T09:24:19.691191 | 2021-01-02T14:27:13 | 2021-01-02T14:27:13 | 46,834,567 | 7 | 1 | null | null | null | null | UTF-8 | Python | false | false | 176 | py | n = int(input())
s = input()
ans = 0
for w in s.split(' '):
t = 0
for c in w:
if ord('A')<=ord(c)<=ord('Z'):
t += 1
ans = max(ans,t)
print(ans)
| [
"k0223.teru@gmail.com"
] | k0223.teru@gmail.com |
fc6ff244f04d5c3ed78ef4d3f3f06fab0771b412 | e3046f25d96311a3f642d7bd55d76a536a98d228 | /src/mailme/migrations/0001_initial.py | e88809b19a66936b2fa7cae1bb7150d06da51047 | [
"BSD-3-Clause"
] | permissive | mailme/mailme | 6afa6585588fd423a4d8f395683cde7df359b910 | 5e24a1b7078c6325d8302a4547c46027d76c4acf | refs/heads/master | 2023-09-01T14:06:45.225768 | 2018-02-21T08:40:11 | 2018-02-21T08:40:11 | 54,772,613 | 2 | 1 | BSD-3-Clause | 2023-09-14T09:31:44 | 2016-03-26T09:43:12 | Python | UTF-8 | Python | false | false | 5,169 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.4 on 2016-03-29 12:26
from __future__ import unicode_literals
from django.conf import settings
import django.contrib.auth.models
import django.contrib.postgres.fields.jsonb
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='User',
fields=[
('password', models.CharField(max_length=128, verbose_name='password')),
('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')),
('id', models.UUIDField(default=uuid.uuid4, primary_key=True, serialize=False)),
('username', models.CharField(max_length=256, unique=True, verbose_name='Username')),
('name', models.TextField(blank=True, max_length=100, null=True, verbose_name='Name')),
('is_active', models.BooleanField(default=True, help_text='Designates whether this user should be treated as active. Unselect this instead of deleting accounts.', verbose_name='active')),
('date_joined', models.DateTimeField(default=django.utils.timezone.now, verbose_name='date joined')),
('is_staff', models.BooleanField(default=False, help_text='Designates whether the user can log into this admin site.', verbose_name='staff status')),
('is_superuser', models.BooleanField(default=False, help_text='Designates that this user has all permissions without explicitly assigning them.', verbose_name='superuser status')),
],
options={
'verbose_name': 'User',
'verbose_name_plural': 'Users',
},
managers=[
('objects', django.contrib.auth.models.UserManager()),
],
),
migrations.CreateModel(
name='Mailbox',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=256, verbose_name='Name')),
('uri', models.CharField(blank=True, default=None, help_text='Example: imap+ssl://myusername:mypassword@someserver', max_length=256, null=True, verbose_name='URI')),
('from_email', models.CharField(blank=True, default=None, max_length=255, null=True, verbose_name='From email')),
('active', models.BooleanField(default=True, verbose_name='Active')),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
),
migrations.CreateModel(
name='Message',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('from_address', django.contrib.postgres.fields.jsonb.JSONField(blank=True, default=[], verbose_name='Sent from')),
('to_address', django.contrib.postgres.fields.jsonb.JSONField(blank=True, default=[], verbose_name='Sent to')),
('cc_address', django.contrib.postgres.fields.jsonb.JSONField(blank=True, default=[], verbose_name='CC')),
('bcc_address', django.contrib.postgres.fields.jsonb.JSONField(blank=True, default=[], verbose_name='BCC')),
('reply_to', django.contrib.postgres.fields.jsonb.JSONField(blank=True, null=True, verbose_name='Reply-To')),
('in_reply_to', django.contrib.postgres.fields.jsonb.JSONField(blank=True, null=True, verbose_name='In reply to')),
('headers', django.contrib.postgres.fields.jsonb.JSONField(blank=True, default={}, verbose_name='Headers')),
('subject', models.CharField(max_length=255, verbose_name='Subject')),
('original', models.TextField(verbose_name='Original (raw) text')),
('plain_body', models.TextField(blank=True, verbose_name='Text')),
('html_body', models.TextField(blank=True, verbose_name='HTML')),
('date', models.DateTimeField(blank=True, verbose_name='Date')),
('message_id', models.CharField(max_length=998)),
('references', django.contrib.postgres.fields.jsonb.JSONField(blank=True, null=True, verbose_name='References')),
],
),
migrations.CreateModel(
name='Thread',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('subject', models.CharField(max_length=256)),
('mailbox', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='threads', to='mailme.Mailbox')),
],
),
migrations.AddField(
model_name='message',
name='thread',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='messages', to='mailme.Thread'),
),
]
| [
"cg@webshox.org"
] | cg@webshox.org |
f0a66338703bff98e6f8ac84537690a653604c9d | a2e638cd0c124254e67963bda62c21351881ee75 | /Extensions/PairOptionsPricerDealPackage/FPythonCode/StrategyDealPackageBase.py | 722d1533ec65186ebd68e6d79549af90aaaa0ad1 | [] | no_license | webclinic017/fa-absa-py3 | 1ffa98f2bd72d541166fdaac421d3c84147a4e01 | 5e7cc7de3495145501ca53deb9efee2233ab7e1c | refs/heads/main | 2023-04-19T10:41:21.273030 | 2021-05-10T08:50:05 | 2021-05-10T08:50:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,178 | py | import acm
from PairOptionsDealPackageBase import PairOptionsDealPackageBase
from PairOptionsUtil import QuotationLabel, CurrencyNameFromCurrency, GetSingleValue, RoundPremium
from DealPackageDevKit import Object, CalcVal, Float, ParseFloat, Action
from DealPackageUtil import DealPackageException
from PairOptionsB2B import B2BCompositeAttribute
class ValueNotSet():
pass
class StrategyDealPackageBase(PairOptionsDealPackageBase):
amountCallForeign = Object( label='@ForeignAmountLabel',
objMapping='PricingOptions.AmountCallForeign',
transform='@AmountTransform',
onChanged='@UpdateDealPackageTrade',
formatter='@ForeignAmountFormatterCB',
enabled='@ForeignAmountEnabled',
visible='@CallPutAmountsVisible',
recreateCalcSpaceOnChange=True)
amountCallDomestic = Object( label='@DomesticAmountLabel',
objMapping='PricingOptions.AmountCallDomestic',
transform='@AmountTransform',
onChanged='@UpdateDealPackageTrade',
formatter='@DomesticAmountFormatterCB',
enabled='@DomesticAmountEnabled',
visible='@CallPutAmountsVisible',
recreateCalcSpaceOnChange=True)
amountPutForeign = Object( label='@ForeignAmountLabel',
objMapping='PricingOptions.AmountPutForeign',
transform='@AmountTransform',
onChanged='@UpdateDealPackageTrade',
formatter='@ForeignAmountFormatterCB',
enabled='@ForeignAmountEnabled',
visible='@CallPutAmountsVisible',
recreateCalcSpaceOnChange=True)
amountPutDomestic = Object( label='@DomesticAmountLabel',
objMapping='PricingOptions.AmountPutDomestic',
transform='@AmountTransform',
onChanged='@UpdateDealPackageTrade',
formatter='@DomesticAmountFormatterCB',
enabled='@DomesticAmountEnabled',
visible='@CallPutAmountsVisible',
recreateCalcSpaceOnChange=True)
theorValCallSaveTrade = CalcVal(calcMapping='CallTrade:FDealSheet:Portfolio Theoretical Value FXOStrat',
label='@TheorValSaveTradeLabel',
formatter='@SingleValueFormatterCB',
solverTopValue=True)
theorValNoPremCallSaveTrade=CalcVal(calcMapping='CallTrade:FDealSheet:Portfolio Theoretical Value No Trade Payments FXOStrat',
label='@TheorValNoPremiumSaveTradeLabel',
formatter='@SingleValueFormatterCB',
solverTopValue=True)
theorValPutSaveTrade = CalcVal(calcMapping='PutTrade:FDealSheet:Portfolio Theoretical Value FXOStrat',
label='@TheorValSaveTradeLabel',
formatter='@SingleValueFormatterCB',
solverTopValue=True)
theorValNoPremPutSaveTrade =CalcVal(calcMapping='PutTrade:FDealSheet:Portfolio Theoretical Value No Trade Payments FXOStrat',
label='@TheorValNoPremiumSaveTradeLabel',
formatter='@SingleValueFormatterCB',
solverTopValue=True)
tradePrice = Float( label='@TradePriceLabel',
objMapping='StrategyPrice')
tradePremium = Float( label='@TradePremiumLabel',
objMapping='StrategyPremium')
callTradePrice = Object( label='@TradePriceLabel',
objMapping='CallTrade.Price')
callTradePremium = Object( label='@TradePremiumLabel',
objMapping='CallTrade.Premium')
putTradePrice = Object( label='@TradePriceLabel',
objMapping='PutTrade.Price')
putTradePremium = Object( label='@TradePremiumLabel',
objMapping='PutTrade.Premium')
amountCallHeader = Action( label='@AmountCallHeader',
action='@UpdateBuySell')
amountPutHeader = Action( label='@AmountPutHeader',
action='@UpdateBuySell')
# -------------------------------------------------------------------------------
# Composite attributes
# -------------------------------------------------------------------------------
b2b = B2BCompositeAttribute(b2bName='B2B')
b2bCall = B2BCompositeAttribute(b2bName='B2BCall')
b2bPut = B2BCompositeAttribute(b2bName='B2BPut')
'''*******************************************************
* Trade/Instrument Get methods
*******************************************************'''
def Trade(self):
return self.TradeAt('callTrade')
def CallTrade(self):
return self.TradeAt('callTrade')
def PutTrade(self):
return self.TradeAt('putTrade')
def Instrument(self):
return self.InstrumentAt('callTrade')
def B2B(self):
return [self.B2BTradeParamsAt('callTrade'), self.B2BTradeParamsAt('putTrade')]
def B2BCall(self):
return self.B2BTradeParamsAt('callTrade')
def B2BPut(self):
return self.B2BTradeParamsAt('putTrade')
def QuoteCombinationTrade(self):
return self.PricingOptions().QuoteCombinationTrade()
def CallStrike(self):
return self.strikeDomesticPerForeign
def PutStrike(self):
return self.strikeDomesticPerForeign
'''*******************************************************
* Label methods
*******************************************************'''
def TradePriceLabel(self, *args):
return 'Price ' + QuotationLabel(self.LeadTrade())
def TradePremiumLabel(self, *args):
return 'Premium ' + CurrencyNameFromCurrency(self.premiumCurrency)
def CallVolatilityLabel(self, *args):
return 'Call'
def PutVolatilityLabel(self, *args):
return 'Put'
def AmountCallHeader(self, *args):
return 'Buy Call' if self.AmountCallForeignSign() > 0 else 'Sell Call'
def AmountPutHeader(self, *args):
return 'Buy Put' if self.AmountPutForeignSign() > 0 else 'Sell Put'
'''*******************************************************
* OnChanged methods
*******************************************************'''
def SimulateVolatility(self, attributeName, old, new, userInputAttributeName):
if new == 'ValueWillNotBeSet':
self.SimulateCalculation(attributeName, None)
else:
self.volatility = self.GetSimulatedCalculationValue(attributeName)
'''*******************************************************
* Action methods
*******************************************************'''
def UpdateBuySell(self, *args):
if self.PricingOptions().CurrentSaveIsFlipped():
self.amountCallDomestic = -self.amountCallDomestic
else:
self.amountCallForeign = -self.amountCallForeign
'''*******************************************************
* Visible methods
*******************************************************'''
def CallPutAmountsVisible(self, *args):
visibile = False
if self.saveIsFlippedSide:
visible = abs(self.amountCallDomestic) != abs(self.amountPutDomestic) or self.IsShowModeDetail()
else:
visible = abs(self.amountCallForeign) != abs(self.amountPutForeign) or self.IsShowModeDetail()
return visible
'''*******************************************************
* Choices methods
*******************************************************'''
def ExerciseTypeChoiceList(self, *args):
return ['European']
'''*******************************************************
* Object mapping methods
*******************************************************'''
def StrategyPrice(self, price = ValueNotSet()):
if isinstance(price, ValueNotSet):
if self.PricingOptions().CurrentSaveIsFlipped():
return (self.amountCallDomestic * self.callTradePrice + self.amountPutDomestic * self.putTradePrice) / self.amountDomestic if self.amountDomestic else 0.0
else:
return (self.amountCallForeign * self.callTradePrice + self.amountPutForeign * self.putTradePrice) / self.amountForeign if self.amountForeign else 0.0
else:
thVal = GetSingleValue(self.saveTradeCalcVal_theorValNoPremium.Value(), "Buy")
if not (thVal and thVal.Number()):
raise DealPackageException('No theoretical value for the strategy, you have to set the price on the components individually')
thValCall = GetSingleValue(self.theorValNoPremCallSaveTrade.Value(), "Buy")
thValPut = GetSingleValue(self.theorValNoPremPutSaveTrade.Value(), "Buy")
callStrike = self.CallStrike()
putStrike = self.PutStrike()
thValCall = thValCall.Number()
thValPut = thValPut.Number()
thVal = thValCall + thValPut
if self.PricingOptions().CurrentSaveIsFlipped():
self.callTradePrice = price * thValCall / thVal * self.amountDomestic / self.amountCallDomestic
self.putTradePrice = price * thValPut / thVal * self.amountDomestic / self.amountPutDomestic
else:
self.callTradePrice = price * thValCall / thVal * self.amountForeign / self.amountCallForeign
self.putTradePrice = price * thValPut / thVal * self.amountForeign / self.amountPutForeign
def StrategyPremium(self, premium = ValueNotSet()):
if isinstance(premium, ValueNotSet):
return self.callTradePremium + self.putTradePremium
else:
thVal = GetSingleValue(self.saveTradeCalcVal_theorValNoPremium.Value(), "Buy")
if not (thVal and thVal.Number()):
raise DealPackageException('No theoretical value for the strategy, you have to set the premium on the components individually')
thValCall = GetSingleValue(self.theorValNoPremCallSaveTrade.Value(), "Buy")
callPremium = RoundPremium(self.premiumCurrency, premium * thValCall.Number() / thVal.Number())
self.callTradePremium = callPremium
self.putTradePremium = RoundPremium(self.premiumCurrency, premium) - callPremium
def UnsimulateOneVolatility(self, attrName, oldVal, newVal, *args):
if self.IsCalculationSimulated('oneVolatility'):
self.UnsimulateAttributeValue('oneVolatility')
self.SetAttribute(attrName, newVal * 100)
'''*******************************************************
* Deal Package Interface methods
*******************************************************'''
def PriceGreekExcludeVolatilityMovement(self, *attr):
return self.quoteTradeCalcVal.PriceGreekExcludeVolatilityMovement(*attr)
def GetIntrinsicAttribute(self, name, isFwd):
attr = 'intrinsic'
attr += '2' if name.startswith('strike2') else ''
attr += 'Fwd' if isFwd else 'Spot'
return attr
def AmountCallForeignSign(self):
return 1 if self.amountCallForeign > 0 else -1
def AmountPutForeignSign(self):
return 1 if self.amountPutForeign > 0 else -1
def AmountCallDomesticSign(self):
return 1 if (self.amountCallDomestic > 0) else -1
def AmountPutDomesticSign(self):
return 1 if (self.amountPutDomestic > 0) else -1
'''*******************************************************
* Object mapping methods
*******************************************************'''
@classmethod
def SetUp(cls, definitionSetUp):
from DealPackageSetUp import AddInfoSetUp
definitionSetUp.AddSetupItems(
AddInfoSetUp( recordType='DealPackage',
fieldName='MemoString',
dataType='String',
description='Options description',
dataTypeGroup='Standard',
subTypes=[],
defaultValue='',
mandatory=False))
| [
"81222178+nenchoabsa@users.noreply.github.com"
] | 81222178+nenchoabsa@users.noreply.github.com |
401636124c6bb27058ccc63c5dddf06041a4a95c | fab5f4bc66f9aad0f28387d2b4bbd20b252575ac | /append.py | a603ea159b795a4931d00f35d8e99f40abb5cddc | [] | no_license | zacwbond/submod-string-appender | 64c42a658ffd7a18fa937355a1e56e743d51e20e | 443ba910cd6eebe968fce34e076d4fe3d824ee4c | refs/heads/master | 2021-01-10T01:43:37.797278 | 2016-02-17T19:20:38 | 2016-02-17T19:20:38 | 51,854,017 | 0 | 0 | null | 2016-02-17T20:19:27 | 2016-02-16T17:18:56 | Python | UTF-8 | Python | false | false | 742 | py |
def append_abc(s):
return 'abc_' + s
def append_bcd(s):
return 'bcd_' + s
def append_efg(s):
return 'efg_' + s
def append_stinker(s):
return 'stinker_' + s
if __name__ == '__main__':
def unit_test(f, s, expected):
if f(s) != expected:
return False
return True
tests = {
'hello abc': (append_abc, 'hello world', 'abc_hello world'),
'hello bcd': (append_bcd, 'hello world', 'bcd_hello world')
}
print("\n\nPerforming the world's most incompetent unit test...")
results = [(t, unit_test(f, s, e)) for (t, (f, s, e)) in tests.items()]
if all(results):
print('\n\nALL TESTS PASSED!')
else:
print('\n'.join([t + ' test FAILED' for (t, p) in results if not p]))
| [
"zachary.bond@bigasssolutions.com"
] | zachary.bond@bigasssolutions.com |
4c29029e33d273eaa754609f6e8b2b13dc4c418e | 0fd50d8efb1f47c7a29054dbeb2e6079a59022cd | /utils/pvacapi/__init__.py | 641c92d9bef136dfc157b4d89d77923c2ec88f0e | [
"BSD-3-Clause-Clear",
"Apache-2.0"
] | permissive | malachig/pVACtools | 8f6ead96660d5de3ffcc57f2224ad1fba8dd01e7 | 1e86411055b3da9f81f966e83578dfadc3883498 | refs/heads/master | 2023-03-18T05:31:39.196527 | 2022-01-06T19:11:58 | 2022-01-06T19:11:58 | 590,623,643 | 0 | 0 | BSD-3-Clause-Clear | 2023-01-18T20:41:32 | 2023-01-18T20:41:32 | null | UTF-8 | Python | false | false | 60 | py | __all__ = [
'app',
'clear_cache'
]
from . import *
| [
"atawollam@gmail.com"
] | atawollam@gmail.com |
1a9b0404f1fecb0e67e39598df067a2447ee813a | e94222c81c4692000b15670820652a545db41ae6 | /supplementary_material/Learning_to_Cartoonize_supp/inference_code/inference.py | 5c685f08771a5053c7440bc617b5f8fec1407a20 | [] | no_license | SystemErrorWang/supplementary | 7037ac7f5aff45853281f95b4702f9ca26cb94cc | ab8d143aadc87cec482879b4cbad2125156e4069 | refs/heads/master | 2022-03-27T21:31:37.239446 | 2019-11-23T02:28:42 | 2019-11-23T02:28:42 | 222,672,327 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,300 | py | '''
CVPR 2020 submission, Paper ID 6791
Source code for 'Learning to Cartoonize Using White-Box Cartoon Representations'
'''
import os
import cv2
import numpy as np
import tensorflow as tf
import network
import guided_filter
from tqdm import tqdm
def center_crop(image):
h, w, c = np.shape(image)
if h > w:
dh = (h-w)//2
image = image[dh:dh+w, :, :]
elif w > h:
dw = (w-h)//2
image = image[:, dw:dw+h, :]
return image
def limit_720p(image):
h, w, c = np.shape(image)
if min(h, w) > 720:
if h > w:
h, w = int(720*h/w), 720
else:
h, w = 720, int(720*w/h)
image = cv2.resize(image, (w, h),
interpolation=cv2.INTER_AREA)
h, w = (h//8)*8, (w//8)*8
image = image[:h, :w, :]
return image
def cartoonize(name_list, output_folder, model_dir):
input_photo = tf.placeholder(tf.float32, [1, None, None, 3])
outputs1 = network.unet_generator(input_photo)
outputs2 = guided_filter.guided_filter(input_photo, outputs1, r=1, eps=5e-3)
all_vars = tf.trainable_variables()
gene_vars = [var for var in all_vars if 'generator' in var.name]
saver = tf.train.Saver(var_list=gene_vars)
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.Session(config=config)
sess.run(tf.global_variables_initializer())
saver.restore(sess, tf.train.latest_checkpoint(model_dir))
for content_path in tqdm(name_list):
image = cv2.imread(content_path)
try:
image = limit_720p(image)
h, w, c = np.shape(image)
batch_image = image.astype(np.float32)/127.5 - 1
batch_image = np.expand_dims(batch_image, axis=0)
out1, out2 = sess.run([outputs1, outputs2],
feed_dict={input_photo: batch_image})
guided_weight = 1
output_image = (1-guided_weight)*out1+guided_weight*out2
output_image = (np.squeeze(output_image)+1)/2
#output_image = (output_image+0.01)**1.1+0.01
output_image = np.clip(output_image*255, 0, 255).astype(np.uint8)
combined = np.empty((h, w*2, 3), dtype=np.uint8)
combined[:, :w, :] = image
combined[:, w:, :] = output_image
name = content_path.split('/')[-1].split('.')[0]
save1_path = os.path.join(output_folder, '{}.jpg'.format(name))
cv2.imwrite(save1_path, combined)
#save2_path = os.path.join(output_folder, '{}_ours.jpg'.format(name))
#cv2.imwrite(save2_path, output_image)
except:
pass
if __name__ == '__main__':
'''
model_dir = 'models'
name_list = list()
for name in os.listdir('testset'):
name_list.append(os.path.join('testset', name))
output_folder = 'output'
if not os.path.exists(output_folder):
os.mkdir(output_folder)
cartoonize(name_list, output_folder, model_dir)
'''
from selective_search import selective_search
image = cv2.imread('testset/party7.jpg')
output = selective_search(image, mode='single', random=False)
print(output)
| [
"secret_wang@outlook.com"
] | secret_wang@outlook.com |
07039fd160d1f48fe2efec31078b006df2fbf471 | 732bece5927d83405b448963ffd2ed08f2ee8ef9 | /tests/unit/api/validation/record_validator_tests.py | 05331c44805de6b9becdb17f493fd81a6ed7cdb9 | [] | no_license | thiagortz/phone-book | 8b530017924a08fb225219c1eba83a7dbd97758c | 02835f23c9ea22eabcab8f9db05187694ed2c6c8 | refs/heads/master | 2020-03-30T21:47:56.949507 | 2018-10-04T22:16:56 | 2018-10-04T22:16:56 | 151,642,415 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,094 | py | from unittest import TestCase
from unittest.mock import patch
from unittest.mock import Mock
from app.api.record.validation.validator import Validator
from app.utils.formats import PHONE_NUMBER_REX
class RecordValidadorTests(TestCase):
def setUp(self):
self.validador = Validator()
@patch("app.api.record.validation.validator.re")
def test_is_valid_phone_number(self, re):
pattern = Mock()
pattern.match.return_value = object()
re.compile.return_value = pattern
phone_number = '21945568909'
self.validador._is_valid_phone_number(phone_number)
re.compile.assert_called_once_with(PHONE_NUMBER_REX)
@patch("app.api.record.validation.validator.Validator._schema")
@patch("app.api.record.validation.validator.FormatChecker")
@patch("app.api.record.validation.validator.Draft4Validator")
def test_draft4_validate(self, draft4, format, schema):
draft4.validate.return_value = None
self.validador.draft4_validate(data={})
draft4.assert_called_once_with(schema(), format_checker=format())
| [
"thiago-dias@outlook.com"
] | thiago-dias@outlook.com |
c1e2b450471c90733728dcdbe3046d7c624eac93 | be9405b109fd1786249f028276a19f2c53f80273 | /ex18.py | 53333959e593bb95588c9b75f3706c01e2cd973d | [] | no_license | dongzeyuan/LPTHW | 76209d917954bc88b6fb30094cc922e6f99e8e44 | 66fa6e5b5caad423cf984bf420cb083aa4940e1b | refs/heads/master | 2021-01-21T10:19:24.944628 | 2017-03-04T13:24:04 | 2017-03-04T13:24:04 | 83,405,359 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 360 | py | def print_two(*args):
arg1, arg2 = args
print("arg1: %r, arg2: %r" % (arg1, arg2))
def print_two_again(arg1, arg2):
print('arg1: %r, arg2: %r' % (arg1, arg2))
def print_one(arg1):
print("arg1: %r" % arg1)
def print_none():
print("I got nothing.")
print_two("slash", "dong")
print_one("slash")
print_two_again("1", "2")
print_none()
| [
"dongfujing88@gmail.com"
] | dongfujing88@gmail.com |
5e09919524ddd06ec18898f2f208eb83de797bc1 | 14aebe7f5f7b83637924f88df41cb5b8b813bc30 | /msgvis/apps/experiment/management/commands/add_controlled_experiment.py | fdc128e05e6b390c32499bd14f0084f655060b0d | [
"MIT"
] | permissive | hds-lab/coding-ml | 1ab5a4caceabb9864f4abf4ad90a771e5640ebd4 | 0c4d1aab92e7192ac11f61f6b58ebf2455cc8c9e | refs/heads/master | 2020-12-10T05:44:58.740299 | 2017-02-10T01:36:37 | 2017-02-10T01:36:37 | 47,863,198 | 1 | 1 | null | 2016-12-11T23:43:25 | 2015-12-12T03:52:36 | JavaScript | UTF-8 | Python | false | false | 2,805 | py | from django.core.management.base import BaseCommand, make_option, CommandError
import msgvis.apps.experiment.models as experiment_models
from msgvis.apps.base.utils import check_or_create_dir
from django.db import transaction
import logging
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
logger = logging.getLogger(__name__)
class Command(BaseCommand):
help = "Create a new controlled experiment."
args = '<dictionary_id> <output_folder>'
option_list = BaseCommand.option_list + (
make_option('-p', '--num_pairs',
default=20,
dest='num_pairs',
help='Num of pairs in each conditions'
),
# make_option('-c', '--num_conditions',
# default=2,
# dest='num_conditions',
# help='Num of conditions in this experiment'
# ),
# make_option('-s', '--num_stages',
# default=4,
# dest='num_stages',
# help='Num of stages in each condition'
# ),
make_option('-n', '--name',
default='Experiment',
dest='experiment_name',
help='Name of this experiment'
),
)
def handle(self, dictionary_id, output_folder, **options):
if not dictionary_id:
raise CommandError("Dictionary id is required.")
try:
dictionary_id = int(dictionary_id)
except ValueError:
raise CommandError("Dictionary id must be a number.")
if not output_folder:
raise CommandError("Output folder path is required.")
num_pairs = options.get('num_pairs')
#num_conditions = options.get('num_conditions')
#num_stages = options.get('num_stages')
experiment_name = options.get('experiment_name')
# make sure the folder exists
check_or_create_dir(output_folder)
output_filename = "%s/user_accounts.log" % output_folder
with open(output_filename, "w") as output:
with transaction.atomic(savepoint=False):
# create an experiment
experiment = experiment_models.Experiment(name=experiment_name,
saved_path_root=output_folder,
dictionary_id=dictionary_id)
experiment.save()
experiment.initialize_controlled_experiment(#num_conditions=num_conditions,
#num_stages=num_stages,
num_pairs=num_pairs,
output=output)
| [
"nanchen.chen@gmail.com"
] | nanchen.chen@gmail.com |
0a970ae7098ed4db96e7a3dfb9f6da2a4c8da81d | 44064ed79f173ddca96174913910c1610992b7cb | /Second_Processing_app/temboo/Library/Foursquare/Users/CheckinsByUser.py | afc8767ec80d8e6b065d8be4e153e455acb86af8 | [] | no_license | dattasaurabh82/Final_thesis | 440fb5e29ebc28dd64fe59ecd87f01494ed6d4e5 | 8edaea62f5987db026adfffb6b52b59b119f6375 | refs/heads/master | 2021-01-20T22:25:48.999100 | 2014-10-14T18:58:00 | 2014-10-14T18:58:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,046 | py | # -*- coding: utf-8 -*-
###############################################################################
#
# CheckinsByUser
# Retrieve a list of check-ins for an authenticated user.
#
# Python version 2.6
#
###############################################################################
from temboo.core.choreography import Choreography
from temboo.core.choreography import InputSet
from temboo.core.choreography import ResultSet
from temboo.core.choreography import ChoreographyExecution
import json
class CheckinsByUser(Choreography):
def __init__(self, temboo_session):
"""
Create a new instance of the CheckinsByUser Choreo. A TembooSession object, containing a valid
set of Temboo credentials, must be supplied.
"""
Choreography.__init__(self, temboo_session, '/Library/Foursquare/Users/CheckinsByUser')
def new_input_set(self):
return CheckinsByUserInputSet()
def _make_result_set(self, result, path):
return CheckinsByUserResultSet(result, path)
def _make_execution(self, session, exec_id, path):
return CheckinsByUserChoreographyExecution(session, exec_id, path)
class CheckinsByUserInputSet(InputSet):
"""
An InputSet with methods appropriate for specifying the inputs to the CheckinsByUser
Choreo. The InputSet object is used to specify input parameters when executing this Choreo.
"""
def set_AfterTimeStamp(self, value):
"""
Set the value of the AfterTimeStamp input for this Choreo. ((optional, date) Retrieve the first results after the seconds entered since epoch time.)
"""
InputSet._set_input(self, 'AfterTimeStamp', value)
def set_BeforeTimeStamp(self, value):
"""
Set the value of the BeforeTimeStamp input for this Choreo. ((optional, date) Retrieve the first results prior to the seconds specified. Useful for paging backward in time.)
"""
InputSet._set_input(self, 'BeforeTimeStamp', value)
def set_Limit(self, value):
"""
Set the value of the Limit input for this Choreo. ((optional, integer) The total number of results to be returned, up to 250.)
"""
InputSet._set_input(self, 'Limit', value)
def set_OauthToken(self, value):
"""
Set the value of the OauthToken input for this Choreo. ((required, string) The Foursquare API OAuth token string.)
"""
InputSet._set_input(self, 'OauthToken', value)
def set_Offset(self, value):
"""
Set the value of the Offset input for this Choreo. ((optional, integer) The number of results to skip. Used to page through results.)
"""
InputSet._set_input(self, 'Offset', value)
def set_ResponseFormat(self, value):
"""
Set the value of the ResponseFormat input for this Choreo. ((optional, string) The format that response should be in. Can be set to xml or json. Defaults to json.)
"""
InputSet._set_input(self, 'ResponseFormat', value)
def set_UserID(self, value):
"""
Set the value of the UserID input for this Choreo. ((optional, string) Only 'self' is supported at this moment by the Foursquare API. Defaults to: self.)
"""
InputSet._set_input(self, 'UserID', value)
class CheckinsByUserResultSet(ResultSet):
"""
A ResultSet with methods tailored to the values returned by the CheckinsByUser Choreo.
The ResultSet object is used to retrieve the results of a Choreo execution.
"""
def getJSONFromString(self, str):
return json.loads(str)
def get_Response(self):
"""
Retrieve the value for the "Response" output from this Choreo execution. (The response from Foursquare. Corresponds to the ResponseFormat input. Defaults to JSON.)
"""
return self._output.get('Response', None)
class CheckinsByUserChoreographyExecution(ChoreographyExecution):
def _make_result_set(self, response, path):
return CheckinsByUserResultSet(response, path)
| [
"dattasaurabh82@gmail.com"
] | dattasaurabh82@gmail.com |
56a182b4418a7cec1d9e071eadaa0bc1e801a723 | e0e6ef2f917a84eca1683db5d590e670a99219ff | /parser/generated/python/arrow.py | ebd03e80bcebc67d66d171b84f8a9c1e8b61729f | [] | no_license | mabudrais/LCLBinding | 57bf4ee255493e7d492f04f21e67544edebe70a9 | 10adee21f65ee0cf5ff533adfc3a402b389442cf | refs/heads/master | 2020-04-10T13:20:38.788353 | 2018-12-22T14:36:07 | 2018-12-22T14:36:07 | 161,047,806 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 130 | py | from Graphics import *
from Controls import *
from Classes import *
from MainPasObject import *
import LCLBindingUtil
#import end
| [
"m.abudrais@yahoo.com"
] | m.abudrais@yahoo.com |
6f0f458414950830519af00253a3f12963a9376e | f3e18e8e7e47ec38cc637d96bed55610f7cfd5f0 | /smart_card.py | e78861e7da8948a238d6778fa381f08f080a3cdd | [
"MIT"
] | permissive | KVR-ADITYA/IOT-3-level_auth | 195a7d575f3c076fa3a920f9fa910c3b2c38527d | 0bce66a96fc9834137b4be67ab218828c6478103 | refs/heads/main | 2023-03-14T09:39:41.759190 | 2021-02-19T11:02:29 | 2021-02-19T11:02:29 | 340,341,687 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14 | py | import secrets | [
"noreply@github.com"
] | KVR-ADITYA.noreply@github.com |
4a11547d58aecc997ef191b31a60bc45d35cfd4a | 456a5bfc9a19fc6a66621f6646fe4d415669de40 | /seal_test.py | 8b9c9409c268037dbf992181c75515f54d9dcec2 | [] | no_license | 11uc/WholeCellPatch | d7bf31df4c97608b70c257297e2d163a30eb585d | 96e184aa95a42b2a5ad80c2323379177112204c2 | refs/heads/master | 2020-04-21T22:44:35.756526 | 2019-02-09T22:58:54 | 2019-02-09T22:58:54 | 169,923,090 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 14,289 | py | #!/usr/local/bin/python3
import math
import re
import os
import numpy as np
import pandas as pd
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt
import pyqtgraph as pg
import joblib
from igor import binarywave
from process import DataPrep, SignalProc
import plot
import util
class SealTest(DataPrep, SignalProc):
"""
Analyze seal tests (short current or voltage steps) to calculate
access resistance, input resistance and membrane capacitance of
of neurons.
"""
def __init__(self, paramFile):
DataPrep.__init__(self, paramFile)
def checkParam(self):
required = set(['baseline_start', 'baseline_end', 'steady_state_start', \
'steady_state_end', 'seal_test_start', 'dV', 'dI', \
"scaleV", "scaleI", "minTau"])
if set(self.params.keys()) != required:
raise ValueError
def seal_test_v(self, verbose = False):
'''
Analysze the seal test part of the trace and calculate the basic properties
Parameters:
plot (string) - name of the figure of the analysis process, default is empty
string and no figure will be saved
Properties:
Rs (float) - access resistance
Ri (float) - input resistance
C (float) - membrane compacitance
'''
t_baseline1 = self.params['baseline_start']
t_baseline2 = self.params['baseline_end']
t_steady1 = self.params['steady_state_start']
t_steady2 = self.params['steady_state_end']
t_0 = self.params['seal_test_start']
dV = self.params['dV']
scale = self.params["scaleV"] # scale up for better fitting
minTau = self.params["minTau"] # minimum tau accepted
trace = self.x * scale
sr = self.sr
I_b = np.mean(trace[int(t_baseline1 * sr):int(t_baseline2 * sr)])
# baseline current before seal test
I_s = np.mean(trace[int(t_steady1 * sr):int(t_steady2 * sr)])
# steady state current after the voltage step
std_Is = np.std(trace[int(t_steady1 * sr):int(t_steady2 * sr)])
# standard deviation of current at the steady state
# used to define boundary for steady state current in fitting
fit_fun = lambda t, _I0, _tau, _Is, _t0: _Is + (_I0 - _Is) * \
np.exp(-(t - _t0) / _tau) # exponential function to fit
# I0 - current spike right after the voltage step
# tau - decay time constant
# Is - steady state current of the decay
# t0 - start of the decay
mf = None # medium fitting threshold
trapped = True
while trapped:
if mf is not None:
trace = self.thmedfilt(trace, 5, mf)
# fit the exponential decay after the voltage step
ft1 = np.argmax(trace[int(t_0 * sr):int(t_steady1 * sr)] * np.sign(dV)) \
+ int(t_0 * sr)
# index of peak value after the voltage step start of curve fitting
ft2 = int(t_steady1 * sr)
# index of the start of steady state, end of curve fitting
fit_time = np.arange(ft1, ft2) / sr # time array of exponential fit
fit_trace = np.array(trace[ft1:ft2]) # trace within the fit time period
g_I0 = trace[ft1] # initial guess of I0
g_tau_ind = np.argwhere(np.sign(dV) * (trace[ft1:ft2] - I_s) < \
np.sign(dV) * (g_I0 - I_s) / np.e)
g_tau = g_tau_ind[0] / sr # initial guess of tau
p_0 = [g_I0, g_tau, I_s, t_0] # initial guess
bnd = ([-np.inf, 0, I_s - 3 * std_Is, t_0], \
[I_s, t_steady1 - t_0, I_s + 3 * std_Is, t_steady1]) # bounds
try:
popt, pcov = curve_fit(fit_fun, fit_time, fit_trace, p0 = p_0)
fit_I0, tau, fit_Is, fit_t0 = popt
I_0 = fit_fun(ft1 / sr, fit_I0, tau, fit_Is, fit_t0)
# Use the current of the fitted curve at the peak time as I0
if verbose or tau < minTau:
verbose = True
print('I0 = ', I_0)
print('tau = ', tau)
print('Ib = ', I_b)
print('fit_Is = ', fit_Is)
print('t0 = ', fit_t0)
# pt1 = int(t_0 * sr)
# pt2 = int(t_steady1 * sr)
pt1 = ft1
pt2 = ft2
plot_time = np.arange(pt1, pt2) / sr
if mf is None:
plot_trace = np.array(trace[pt1:pt2])
else:
plot_trace = self.thmedfilt(np.array(trace[pt1:pt2]), 5, mf)
w = pg.GraphicsWindow()
ax = w.addPlot()
ax.plot(plot_time, plot_trace)
ax.plot(plot_time, \
[fit_fun(i, fit_I0, tau, fit_Is, fit_t0) \
for i in plot_time], pen = pg.mkPen('r'))
print("Median filter threshold?")
ins = input()
mf = float(ins)
del(w)
if mf <= 0:
self.R_s, self.R_i, self.C = 0, 0, 0
break
else:
trapped = False
self.R_s = dV / (I_0 - I_b) * scale
self.R_i = dV / (I_s - I_b) * scale - self.R_s
self.C = tau * (self.R_i + self.R_s) / self.R_i / self.R_s
except TypeError:
self.R_s, self.R_i, self.C = 0, 0, 0
break
except ValueError: # when input is not a number
self.R_s = dV / (I_0 - I_b) * scale
self.R_i = dV / (I_s - I_b) * scale - self.R_s
self.C = tau * (self.R_i + self.R_s) / self.R_i / self.R_s
break
if verbose:
print('Rs = {0:.3e}, Ri = {1:.3e}, C = {2:.3e}'.format(self.R_s, \
self.R_i, self.C))
def seal_test_i(self, verbose = False):
'''
Seal test in current clamp, calculate access resistance,
input resistance, capacitance.
Parameters:
trace (array_like) - signal trace
sr (float) - sampling rate
params (dictionary) - parameters used for seal test analysis
comp (boolean) - whether or not the Rs has been compensated
Properties:
Rs (float) - Access resistance
Rin (float) - Input resistance
C (float) - Membrane capacitance
'''
t_baseline1 = self.params['baseline_start']
t_baseline2 = self.params['baseline_end']
t_steady1 = self.params['steady_state_start']
t_steady2 = self.params['steady_state_end']
t_0 = self.params['seal_test_start']
dI = self.params['dI']
scale = self.params["scaleI"]
trace = self.x * scale
sr = self.sr
minTau = self.params["minTau"]
V_b = np.mean(trace[int(t_baseline1 * sr):int(t_baseline2 * sr)])
# baseline current before seal test
V_s = np.mean(trace[int(t_steady1 * sr):int(t_steady2 * sr)])
# steady state current after the voltage step
std_Vs = np.std(trace[int(t_steady1 * sr):int(t_steady2 * sr)])
# standard deviation of current at the steady state
# used to define boundary for steady state current in fitting
trapped = True
mf = None
while trapped:
if mf is not None:
trace = self.thmedfilt(trace, 5, mf)
# fit the exponential decay after the voltage step
ind1 = int(t_0 * sr)
# index of start of curve fit, assume charging of pipette
# capacitance takes no time
ind2 = int(t_steady1 * sr)
# index of the start of steady state, end of curve fitting
fit_time = np.arange(ind1, ind2) / sr # time array of exponential fit
fit_trace = np.array(trace[ind1:ind2]) # trace within the fit time period
fit_fun = lambda t, _V0, _tau, _Vs, _t0: _Vs + (_V0 - _Vs) * \
np.exp(-(t - _t0) / _tau) # exponential function to fit
# V0 - volrage after the voltage jump due to the access resistance
# tau - decay time constant
# Vs - steady state potential of the decay
# t0 - start of the decay
g_V0 = trace[ind1] # initial guess of V0
g_tau_ind = np.argwhere(np.sign(dI) * (trace[ind1:ind2] - V_s) > \
np.sign(dI) * (g_V0 - V_s) / np.e)
g_tau = g_tau_ind[0][0] / sr # initial guess of tau
p_0 = [g_V0, g_tau, V_s, t_0] # initial guess
bnd = ([-np.inf, 0, V_s - 3 * std_Vs, t_0], \
[V_s, t_steady1 - t_0, V_s + 3 * std_Vs, t_steady1]) # bounds
try:
popt, pcov = curve_fit(fit_fun, fit_time, fit_trace, p0 = p_0)
fit_V0, tau, fit_Vs, fit_t0 = popt
V_0 = fit_fun(ind1 / sr, fit_V0, tau, fit_Vs, fit_t0)
if verbose or tau < minTau:
verbose = True
print('Vs = ', V_s)
print('V0 = ', V_0)
print('tau = ', tau)
print('Vb = ', V_b)
print('fit_Vs = ', fit_Vs)
print('t0 = ', fit_t0)
# ind1 = int(t_0 * sr)
# ind2 = int(t_steady1 * sr)
plot_time = np.arange(ind1, ind2) / sr
if mf is None:
plot_trace = np.array(trace[ind1:ind2])
else:
plot_trace = self.thmedfilt(np.array(trace[ind1:ind2]), 5, mf)
w = pg.GraphicsWindow()
ax = w.addPlot()
ax.plot(plot_time, plot_trace)
ax.plot(plot_time, \
[fit_fun(i, fit_V0, tau, fit_Vs, fit_t0) \
for i in plot_time], pen = pg.mkPen('r'))
ins = input()
mf = float(ins)
del(w)
if mf <= 0: # input 0 or negative values to drop the results
self.R_s, self.R_i, self.C = 0, 0, 0
break
else:
trapped = False
self.R_s = (V_0 - V_b) / dI / scale
self.R_i = (V_s - V_b) / dI / scale - self.R_s
self.C = tau / self.R_i
except TypeError:
self.R_s, self.R_i, self.C = 0, 0, 0
break
except ValueError: # when input is not a number, accept the result
self.R_s = (V_0 - V_b) / dI / scale
self.R_i = (V_s - V_b) / dI / scale - self.R_s
self.C = tau / self.R_i
break
if verbose:
print('Rs = {0:.3e}, Ri = {1:.3e}, C = {2:.3e}'.format(self.R_s, \
self.R_i, self.C))
def getProperties(self, pName):
"""
Retrieve seal tests properties.
"""
if pName == "Rin":
return self.R_i
elif pName == "Rs":
return self.R_s
elif pName == "C":
return self.C
elif pName == "tau":
return self.R_i * self.C
def batchAnalyze(self, dataFolder, output, reportF = "", \
dumpF = "", vclamp = True, verbose = 1):
"""
Batch mini analysis.
Arguments:
dataFolder (string) - raw trace data folder.
output (string) - csv file with the indices of neurons to analyze.
reportF (string) - output text file with seal tests results for all trials.
dumpF (string) - data file to store analyzed data to for future use.
vclamp (bool) - whether the data is from voltage clamp or currrent clamp.
verbose (int) - verbose levels
0: no cli output
1: print cell numbers
2: print cell, trial number, plot fitting result
"""
if dataFolder[-1] != os.sep:
dataFolder += os.sep
name_params = util.get_name_params()
data_files = os.listdir(dataFolder)
df = pd.read_csv(output, index_col = 0)
if len(dumpF):
try:
dp = joblib.load(dumpF)
except (EOFError, IOError):
dp = {}
if len(reportF):
rp = open(reportF, "w")
for c in df.index:
if verbose:
print("Cell: {:d}".format(c))
rss = []
ris = []
cs = []
rp.write('\n' + name_params['prefix'] + ('_{0:0'+ name_params['pad'] + \
'd}:').format(c) + '\n')
for data_file in data_files:
matched = re.match(name_params['prefix'] + name_params['link'] + \
'{:04d}'.format(c) + name_params['link'] + \
'0*([1-9][0-9]*)' + name_params['suffix'] , data_file)
if matched:
t = int(matched.group(1))
if verbose > 1:
print("Trial: {:d}".format(t))
if "dp" in locals() and self.stored(dp, c, t):
self.retrieve(dp, c, t)
else:
self.loadData(dataFolder, c, t)
if vclamp:
self.seal_test_v(verbose > 1)
else:
self.seal_test_i(verbose > 1)
if "dp" in locals() and not self.stored(dp, c, t):
self.store(dp, c, t)
if self.getProperties("Rin") > 0:
rss.append(self.getProperties("Rs"))
ris.append(self.getProperties("Rin"))
cs.append(self.getProperties("C"))
rp.write('\t{0:d} Rs:{1:3.2f}; Ri:{2:3.2f}; C:{3:4.3f}\n'.
format(t, rss[-1] / 1e6, ris[-1] / 1e6, cs[-1] * 1e9))
if len(rss):
mrs = np.mean(rss)
mri = np.mean(ris)
mc = np.mean(cs)
mtau = np.mean(np.array(ris) * np.array(cs))
else:
mrs, mri, mc, mtau = np.nan, np.nan, np.nan, np.nan
df.loc[c, "Rin"] = mri / 1e6
# Update Rs and tau only in voltage clamp because I usually have
# Rs compensation on in current clamp and the seal test results
# are not accurate.
if vclamp:
df.loc[c, "Rs"] = mrs / 1e6
df.loc[c, "mTau"] = mtau
rp.write('\tMean:\n')
rp.write('\tRs:{0:3.2f}; Ri:{1:3.2f}; C:{2:4.3f}\n'.format(\
mrs / 1e6, mri / 1e6, mc * 1e9))
if len(dumpF):
joblib.dump(dp, dumpF)
if len(reportF):
rp.close()
df.to_csv(output)
def store(self, dp, c, t):
if c not in dp:
dp[c] = {}
dp[c][t] = [self.R_s, self.R_i, self.C]
def stored(self, dp, c, t):
return len(dp) and c in dp and len(dp[c]) and t in dp[c]
def retrieve(self, dp, c, t):
[self.R_s, self.R_i, self.C] = dp[c][t]
def filterRs(self, dumpF, maxRs, output, trialOut, filterBy = "trial"):
'''
For voltage clamp seal tests, remove trials with access resistance above maxRs,
write the remaining trial numbers to file output, and return mean Rs and Rin for
each cell of the remaining trials.
arguments:
dumpF (string) - stored batch seal test results.
maxRs (float) - upper threshold of Rs.
output (String) - directory to summary output file, mean values
trialOut (string) - output file for selected trials
filterBy (string) - filter criterion
"trial": remove trials with to high Rs
"cells": remove cells with one trial that is above threshold
'''
selected = {}
dp = joblib.load(dumpF)
df = pd.read_csv(output, index_col = 0)
for c, vc in dp.items():
srs, sri, stau = 0, 0, 0
selected[c] = []
for t, vt in vc.items():
if vt[0] < maxRs and 0 < vt[0]:
selected[c].append(t)
srs += vt[0]
sri += vt[1]
stau += vt[2] * vt[1]
elif filterBy == "cell":
srs = np.nan
sri = np.nan
stau = np.nan
if len(selected[c]):
df.loc[c, "Rs"] = srs / len(selected[c]) / 1e6
df.loc[c, "Rin"] = sri / len(selected[c]) / 1e6
df.loc[c, "mTau"] = stau / len(selected[c])
else:
df.loc[c, "Rs"] = np.nan
df.loc[c, "Rin"] = np.nan
df.loc[c, "mTau"] = np.nan
df.to_csv(output)
# write file
with open(trialOut, 'w') as f:
for k in sorted(selected):
s = "{:d}: ".format(k)
for t in selected[k]:
s += str(t)
s += ","
s = s[:-1] + "\n"
f.write(s)
def ICnoise(trace, sr, begin, end):
'''
noise r ICnoise(trace, sr, begin, end)
Calculate std of sample points in trace within a certein time range to represent noise.
Parameters:
trace (array_like) - signal data
sr (float) - sampling rate
begin (float) - start point of the time range
end (float) - end point of the time range
Return:
noise (float) - std as noise level
'''
return np.std(trace[int(begin * sr):int(end * sr)])
| [
"liuchenghao44@gmail.com"
] | liuchenghao44@gmail.com |
b203df8ac8d4069daeb7d969a706e5ce937e6732 | 7c82a7a1537a03e9773cf5dee200999f045b323a | /4.1.3 Abstract Data Types/queue.py | 735a51fd8f34362d50b31c3b021487813614bd03 | [] | no_license | danielgunn/A-Level-CS | fd21038153131a41037fdc83a4ec474bf3c0e927 | c9e214f3d8494c19ecf21b4a657e3b710dc214ea | refs/heads/master | 2023-03-19T11:03:06.884200 | 2021-03-12T03:05:57 | 2021-03-12T03:05:57 | 103,843,064 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 385 | py | from list import List
class Queue:
l = List()
def enqueue(self, value):
self.l.add(value)
def dequeue(self):
if self.l.is_empty():
print("Error: dequeue attempt on empty queue")
return None
else:
v = self.l.head.data
self.l.remove(0)
return v
if __name__ == "__main__":
help(Queue) | [
"4oESUv0U"
] | 4oESUv0U |
c2c535523afc8cbd95e7a52e74520c02f2fbc22c | 122299087e4b1e83f8b18fa8d2aa914b19091315 | /tree_bfs/boundary_binary_tree.py | d9e17312b322555fefd99fa22dbd47416b653ae2 | [] | no_license | federicociner/leetcode | 522254c59d15a3145a81905d9bb8889736d68ad2 | 5595ef27cf88a93fa639155180d4b3305438fa2c | refs/heads/master | 2020-11-26T02:37:58.431440 | 2020-07-08T23:45:23 | 2020-07-08T23:45:23 | 228,939,486 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,486 | py | """Given a binary tree, return the values of its boundary in anti-clockwise
direction starting from root. Boundary includes left boundary, leaves, and
right boundary in order without duplicate nodes. (The values of the nodes may
still be duplicates.)
Left boundary is defined as the path from root to the left-most node. Right
boundary is defined as the path from root to the right-most node. If the root
doesn't have left subtree or right subtree, then the root itself is left
boundary or right boundary. Note this definition only applies to the input
binary tree, and not applies to any subtrees.
The left-most node is defined as a leaf node you could reach when you always
firstly travel to the left subtree if exists. If not, travel to the right
subtree. Repeat until you reach a leaf node.
The right-most node is also defined by the same way with left and right
exchanged.
Example 1
Input:
1
\
2
/ \
3 4
Ouput:
[1, 3, 4, 2]
Explanation:
The root doesn't have left subtree, so the root itself is left boundary.
The leaves are node 3 and 4.
The right boundary are node 1,2,4. Note the anti-clockwise direction means you
should output reversed right boundary.
So order them in anti-clockwise without duplicates and we have [1,3,4,2].
Example 2
Input:
____1_____
/ \
2 3
/ \ /
4 5 6
/ \ / \
7 8 9 10
Ouput:
[1,2,4,7,8,9,10,6,3]
Explanation:
The left boundary are node 1,2,4. (4 is the left-most node according to
definition)
The leaves are node 4,7,8,9,10.
The right boundary are node 1,3,6,10. (10 is the right-most node).
So order them in anti-clockwise without duplicate nodes we have [1,2,4,7,8,9,
10,6,3].
"""
from typing import List
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
def __str__(self, level=0):
ret = "\t" * level + f"TreeNode: {repr(self.val)}" + "\n"
if self.left:
ret += self.left.__str__(level + 1)
if self.right:
ret += self.right.__str__(level + 1)
return ret
def __repr__(self):
return "<tree node representation>"
class Solution:
# Time complexity: O(n)
# Space complexity: O(n)
def boundaryOfBinaryTree(self, root: TreeNode) -> List[int]:
if not root:
return []
# Initialise boundary array
boundary = []
if not self.is_leaf(root):
boundary.append(root.val)
# Get left boundary
nextNode = root.left
while nextNode:
if not self.is_leaf(nextNode):
boundary.append(nextNode.val)
if nextNode.left:
nextNode = nextNode.left
else:
nextNode = nextNode.right
# Get leaves
self.find_leaves(root, boundary)
# Get right boundary
stack = []
nextNode = root.right
while nextNode:
if not self.is_leaf(nextNode):
stack.append(nextNode.val)
if nextNode.right:
nextNode = nextNode.right
else:
nextNode = nextNode.left
while stack:
boundary.append(stack.pop())
return boundary
def find_leaves(self, node: TreeNode, boundary: List[int]) -> None:
if self.is_leaf(node):
boundary.append(node.val)
else:
if node.left:
self.find_leaves(node.left, boundary)
if node.right:
self.find_leaves(node.right, boundary)
def is_leaf(self, node: TreeNode) -> bool:
return node.left is None and node.right is None
if __name__ == "__main__":
S = Solution()
# Example 1
root = TreeNode(1)
n1 = TreeNode(2)
n2 = TreeNode(3)
n3 = TreeNode(4)
root.right = n1
n1.left = n2
n1.right = n3
assert S.boundaryOfBinaryTree(root) == [1, 3, 4, 2]
# Example 2
root = TreeNode(1)
n2 = TreeNode(2)
n3 = TreeNode(3)
n4 = TreeNode(4)
n5 = TreeNode(5)
n6 = TreeNode(6)
n7 = TreeNode(7)
n8 = TreeNode(8)
n9 = TreeNode(9)
n10 = TreeNode(10)
root.left = n2
root.right = n3
n2.left = n4
n2.right = n5
n5.left = n7
n5.right = n8
n3.left = n6
n6.left = n9
n6.right = n10
assert S.boundaryOfBinaryTree(root) == [1, 2, 4, 7, 8, 9, 10, 6, 3]
print("All tests passed.")
| [
"federico.ciner1@cba.com.au"
] | federico.ciner1@cba.com.au |
3963154da5f61758bf4e8a20d537670d2f773f88 | 32712c478ff9dff44de085cb50a1302bfc2eba67 | /badges/admin.py | 2de5a06f7d80c1a5d79728e5e31948ebe2e57d9b | [
"MIT"
] | permissive | vas3k/vas3k.club | 158af17c329fe693178ca1bce36466922604df3b | b3ff2fd95ef1d6c593c57d3bcd501240f2705fbb | refs/heads/master | 2023-09-03T07:10:10.859004 | 2023-09-01T09:08:32 | 2023-09-01T09:08:32 | 254,190,180 | 697 | 326 | MIT | 2023-09-04T09:02:12 | 2020-04-08T20:11:44 | Python | UTF-8 | Python | false | false | 635 | py | from django.contrib import admin
from badges.models import Badge, UserBadge
class BadgesAdmin(admin.ModelAdmin):
list_display = (
"code",
"title",
"description",
"price_days",
"created_at",
"is_visible",
)
ordering = ("-created_at",)
search_fields = ["title"]
admin.site.register(Badge, BadgesAdmin)
class UserBadgesAdmin(admin.ModelAdmin):
list_display = (
"badge",
"from_user",
"to_user",
"post",
"comment",
"created_at",
)
ordering = ("-created_at",)
admin.site.register(UserBadge, UserBadgesAdmin)
| [
"me@vas3k.ru"
] | me@vas3k.ru |
cfa36cbaa10d6086ca5294bb9709785974e89d6f | 05786ed35013dbc5c19f89c76b4bc4f820922536 | /quizzler-app-start/quiz_brain.py | cdbaf36ea97413294322b2663584daf40e1e3883 | [] | no_license | nope2jope/quiz_this | dc6888f8527d759a5efd7943d198011c3955b18b | 756ed9de4a2ba83c07ecc72764bbfe1c039bfe4c | refs/heads/main | 2023-03-01T03:31:50.278117 | 2021-02-03T23:37:11 | 2021-02-03T23:37:11 | 335,784,543 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 877 | py | import html
class QuizBrain:
def __init__(self, q_list):
self.question_number = 0
self.score = 0
self.question_list = q_list
self.current_question = None
def still_has_questions(self):
return self.question_number < len(self.question_list)
def next_question(self):
try:
self.current_question = self.question_list[self.question_number]
except IndexError:
return f"HERE WE GO"
else:
self.question_number += 1
q_text = html.unescape(self.current_question.text)
return f"Q.{self.question_number}: {q_text}"
def check_answer(self, user_answer):
correct_answer = self.current_question.answer
if user_answer == correct_answer:
self.score += 1
return 'True'
else:
return 'False'
| [
"noreply@github.com"
] | nope2jope.noreply@github.com |
ae426f722f6003fbb33283a0eff3cd2e112d90a5 | 38d1ef01184bbdb3898b8cf495eeee48eaa1a30a | /koopman_modes_rollout_helper.py | 74e2f5017ccef64bcd860f6f4a057a8b58b141c7 | [] | no_license | LenCewa/MasterThesis | 39c86c8ab3c752fedc445fea14368bbd74ca8f3a | b2d4d67b7ae2f363dd627ecb4355de1ae6ef04a3 | refs/heads/master | 2020-06-16T15:47:29.971151 | 2020-04-15T09:29:43 | 2020-04-15T09:29:43 | 195,626,164 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,627 | py | from Fourier import dFourier, ddFourier
from evaluate_parameter_koopman import *
import matplotlib.pyplot as plt
# Newtons Optimization Method
dN=N
ddN=N
d_fourier = dFourier(1, 1, 0.001, N, 450, [], [])
dd_fourier = ddFourier(1, 1, 0.001, N, 450, [], [])
def set_dfourier_coefficients(c, N):
for i in range(N + 1):
# N = 15 impliziert [a0, [a1, b1], ..., [a15, b15]] also 16 Listenelemente
d_fourier.coefficients[i] = jnp.array(c[i])
def set_ddfourier_coefficients(c, N):
for i in range(N + 1):
# N = 15 impliziert [a0, [a1, b1], ..., [a15, b15]] also 16 Listenelemente
dd_fourier.coefficients[i] = jnp.array(c[i])
def Loss(x, y):
gx = []
for c in loc:
set_fourier_coefficients(c, N)
gx += [fourier.predict(fourier.coefficients, x)]
gx = np.array(gx)
return np.linalg.norm(gx - y)**2
def dLoss(x, y):
gx = []
dgx = []
dL = 0
for c in loc:
set_fourier_coefficients(c, N)
set_dfourier_coefficients(c, dN)
gx += [fourier.predict(fourier.coefficients, x)]
dgx += [d_fourier.predict(d_fourier.coefficients, x)]
gx = np.array(gx)
dgx = np.array(dgx)
for i in range(dim):
dL += 2 * (y[i] - gx[i]) * (-dgx[i])
return dL
def ddLoss(x, y):
gx = []
dgx = []
ddgx = []
ddL = 0
for c in loc:
set_fourier_coefficients(c, N)
set_dfourier_coefficients(c, dN)
set_ddfourier_coefficients(c, ddN)
gx += [fourier.predict(fourier.coefficients, x)]
dgx += [d_fourier.predict(d_fourier.coefficients, x)]
ddgx += [dd_fourier.predict(dd_fourier.coefficients, x)]
gx = np.array(gx)
dgx = np.array(dgx)
ddgx = np.array(ddgx)
for i in range(dim):
ddL += 2 * (dgx[i] ** 2 - (y[i] - gx[i]) * ddgx[i])
return ddL
def Loss_alphad(x, y, alpha, d):
gx_alphad = []
for c in loc:
set_fourier_coefficients(c, N)
gx_alphad += [fourier.predict(fourier.coefficients, x + alpha * d)]
gx_alphad = np.array(gx_alphad)
return np.linalg.norm(gx_alphad - y)**2
def newton_optimization_method(y, x0, iterations, alpha0, damping0):
res = [x0]
err = []
alpha = alpha0
damping = damping0
roh = [1.2, 0.5, 1, 0.5, 0.01]
for k in range(iterations):
x = res[k]
L = Loss(x, y)
err += [L]
print("Iteration: k = ", k, "--> Error ||y - g(x_k)||^2 = ", L, " for x = ", x)
if L < 1e-10: break
dL = dLoss(x, y)[0]
ddL = ddLoss(x, y)[0]
d = -dL / (ddL + damping)
L_alphad = Loss_alphad(x, y, alpha, d)
i = 0
while L_alphad > (L + roh[4]*dL * alpha * d):
print("Iteration: ", k, " while-loop: ", i)
# print("f(x + alpha * d) = ", gx_alphad, " > f(x) + r*f'(x) = ", g_x + roh[4] * dL)
i += 1
alpha = roh[1] * alpha
# Optionally:
damping = roh[2] * damping
d = -dL / (ddL + damping)
L_alphad = Loss_alphad(x, y, alpha, d)
x = x + alpha * d
res += [x]
alpha = np.min([roh[0], alpha, 1])
# Optinally:
damping = roh[3] * damping
return res, err
reconstruct = []
reconstruct_error = []
alpha0 = 1
damping0 = 0.999
rollout_list = [50, 1]
for r in rollout_list:
print("H1")
Y = koopman_mpc_rollout_prediction(K, r, steps, dim, 0).reshape(1, -1)
print(Y.shape)
for i in range(dim - 1):
print("Compute Y, iteration = ",i)
Y = np.append(Y, koopman_mpc_rollout_prediction(K, r, steps, dim, i + 1).reshape(1, -1), axis=0)
Y = np.array(Y)
print("Shape of Y:", Y.shape)
reconstruct = []
reconstruct_error = []
newton_steps = 20
for t in range(len(trajectory)): #Y.shape[1] Y.shape[1]-1
print("Iteration: ", t, " / 500 and rollout = ", r)
res, err = newton_optimization_method(Y[:, t*r].reshape(-1, 1), trajectory[t], newton_steps, alpha0, damping0)
reconstruct += [res[-1]]
reconstruct_error += [err[-1]]
for m in range(r-1):
res, err = newton_optimization_method(Y[:, t*r+m+1].reshape(-1, 1), reconstruct[t*r+m], newton_steps, alpha0, damping0)
reconstruct += [res[-1]]
reconstruct_error += [err[-1]]
# save reconstrcted trajectory after every 50 iteration
np.save("Reconstructions_RollOut/" + "mpc_rollout_length=" + str(r) + "_basis=" + str(basis_vector), reconstruct)
np.save("Reconstruction_Errors_RollOut/" + "mpc_rollout_length=" + str(r) + "_basis=" + str(basis_vector), reconstruct_error) | [
"len13@hotmail.de"
] | len13@hotmail.de |
ed6444d14e4a48cf3c0e7007bcd0b884296aabd8 | 809b2d40a02e85e3d5a75ae16f2a776e2918d125 | /lecture2.py | 6276d8c93198846c05998305ce41cd08c2927ca5 | [] | no_license | ethanmatthews/Matthews-Assignment2 | 25e7441f15bd6eb4a558ab7a65cc1c0648dbe4b1 | 8e089c9a41ac5a65bc8170fedc0fa15971bf062e | refs/heads/master | 2022-12-17T07:42:20.515983 | 2020-09-21T04:19:34 | 2020-09-21T04:19:34 | 295,560,966 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,729 | py | # # This is a human readable message
# '''
# This is also a
# human readable message
# '''
# # print("This statement will not print")
# '''
# print("These statements")
# print("will not print")
# '''
# # Display two strings on separate lines
# print("Marc")
# print("Hauschildt")
# # Display two print statements on a single line, separated by a space
# print("Hauschildt")
# # Display two strings on a single line, separated by a space
# print("Marc", "Hauschildt")
# print("Marc " + "Hauschildt") # You have to manually add the space here
# # Display two strings on a single line, separated by a period
# # Display a string with a quotation mark
# print("My fantasy football team name is the \"Bootleggers\"")
# # Display a string with a back slash
# print("C:\\Users\\k0519415")
# # Display a string with a new line escape
# print("The quick brown fox\njumped over the lazy dog")
# # Display a string with a tab character
# name = "Jennifer"
# age = 19
# print("Name\t\tAge")
# print(name + "\t" + str(age))
# # Display decimals rounded to two decimal places
# print("Product\t\tPrice")
# print("Bananas\t\t" + "$" + format(0.789, ".2f"))
# print("Apples\t\t" + "$" + format(1.211, ".2f"))
# # Display commas separating large numbers with decimals aligned
# print("Product\t\tPrice")
# print("Bugatti\t\t" + "$" + format(1000000, "12,.2f"))
# print("F-150\t\t" + "$" + format(55000, "12,.2f"))
# # Display commas separating large numbers with decimals aligned
# print("How a baby spends its day:")
# print("Eating\t\t" + format(0.25, ".0%"))
# print("Sleeping\t" + format(0.75, ".0%"))
# print("I am " + str(19) + " years old")
# score = 0
# score = score + 20
# print(score) # 20
# score += 20
# print(score) # 40
# score = score - 15
# print(score) # 25
# score -= 15
# print(score) # 10
# import math
# print(math.pow(2, 3)) # 8.0 - similar to 2 ** 3, but the result is a float
# print(math.sqrt(25)) # 5.0 - square root
# print(math.pi) # 3.141592653589793
# print(math.ceil(2.5)) # 3 - round up to nearest integer
# print(math.floor(2.5)) # 2 - round down to nearest integer
# print(round(2.555, 2)) # 2.56 - round up or down
# print(round(2.554, 2)) # 2.55 - round up or down
# print(math.fabs(-10)) # 10.0 - absolute value, distance from 0
# side1Length = 3
# side2Length = 4
# hypotenuse = math.sqrt(side1Length ** 2 + side2Length ** 2) # Pythagorean theorem
# print(hypotenuse) # 5.0
# radius = 3
# areaOfCircle = math.pi * math.pow(radius, 2)
# print(areaOfCircle)
'''
Problem 1. Superfluous Buns
Format:
- variable_name, data_type, data_source, example
Input(s):
- number_of_guests, int, from the user, 125
- hotdogs_per_guest, float, from the user, 1.25
- HOTDOGS_PER_PACK, int, constant, 8
- BUNS_PER_PACK, int, constant, 12
Process(es):
- min_hotdogs_needed, int, math.ceil(number_of_guests * hotdogs_per_guest), 157
- hotdog_packages, int, math.ceil(min_hotdogs_needed / HOTDOGS_PER_PACK), 20
- hotdog_count, int hotdog_packages * HOTDOGS_PER_PACK, 160
- bun_packages, int, math.ceil(hotdog_count / BUNS_PER_PACK), 14
- bun_count, int, bun_packages * BUNS_PER_PACK, 168
- extra_hotdogs, int, hotdog_count - min_hotdogs_needed, 3
- extra_buns, int, bun_count - min_hotdogs_needed, 11
Output(s):
- hotdog_packages
- bun_packages
- extra_hotdogs
- extra_buns
'''
# # Type your code here
# import math
# number_of_guests = int(input("How many guests?")) #125
# dogs_per_guest = float(input("How many hotdogs per guest?")) #1.25
# DOGS_PER_PACK = 8
# BUNS_PER_PACK = 12
# min_dogs_needed = math.ceil(number_of_guests * dogs_per_guest) #157.0
# print(min_dogs_needed)
# hotdog_packages = math.ceil(min_dogs_needed / DOGS_PER_PACK) #20.0
# print(hotdog_packages) | [
"ethan-matthews@student.kirkwood.edu"
] | ethan-matthews@student.kirkwood.edu |
9d693845b36a0a9f1657a290629bbc8933bb867f | 751a8a16290fb709deaca4d52226b48f587f3cdd | /check.spec | 0060f829e2d5a9207e836540185e985340964b3a | [] | no_license | aibotez/ip | 0b8069d413d45752491b3e7452b37fde080c6c5f | 3ee48c030e16f0c9f5425e82c91ad7e528d25e43 | refs/heads/master | 2020-04-24T22:24:30.591960 | 2019-02-24T07:57:39 | 2019-02-24T07:57:39 | 172,311,038 | 0 | 0 | null | null | null | null | WINDOWS-1252 | Python | false | false | 845 | spec | # -*- mode: python -*-
block_cipher = None
a = Analysis(['check.py'],
pathex=['G:\\python\\ÏîÄ¿\\´úÀí'],
binaries=[],
datas=[],
hiddenimports=[],
hookspath=[],
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher,
noarchive=False)
pyz = PYZ(a.pure, a.zipped_data,
cipher=block_cipher)
exe = EXE(pyz,
a.scripts,
a.binaries,
a.zipfiles,
a.datas,
[],
name='check',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
runtime_tmpdir=None,
console=True )
| [
"2290227486@qq.com"
] | 2290227486@qq.com |
c8cd0530837fc1343888c978be7360120bd9cb36 | b20ded7b01710508b09496a657a21e626818769c | /batch_crawl_of_key_words.py | c3c1d67428e554343096cdc13330bed14b77a113 | [] | no_license | cash2one/cwq-crawler | b991876a08c08030e5e71caa60fe5291c39747c4 | 301ef9aa8f6551a9fb31a3957a1d4e5353a7bc0b | refs/heads/master | 2021-01-22T16:04:56.680827 | 2016-05-30T03:30:33 | 2016-05-30T03:30:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,924 | py | #-*- coding: utf-8 -*-
"""
读取excel, 逐次抓取每个关键词的一定数目的top商品
每个关键词的top商品对应一个文件, 文件名以关键词进行区分
"""
import xlrd
import xlwt
import os
import re
import httplib2
from pyquery import PyQuery
from utils import extractNum
default_prefix = "C:/users/chenweiqiang/Desktop/"
keys = []
def get_keys(filename, prefix=default_prefix):
file = os.path.join(prefix, filename)
wb = xlrd.open_workbook(file)
ws = wb.sheets()[0]
for index in range(1, ws.nrows):
keys.append(ws.cell(index, 0).value)
def iterator(merchants):
amazon_base1="http://www.amazon.com/s/ref=nb_sb_noss?keywords="
amazon_base2="&sort=review-rank"
aliexpress_base1="http://www.aliexpress.com/wholesale?SearchText="
aliexpress_base2="&shipCountry=us&SortType=total_tranpro_desc&g=n"
dhgate_base1="http://www.dhgate.com/wholesale/search.do?searchkey="
dhgate_base2="&searchSource=sort&stype=down&sinfo=reviewavgscore"
for item in keys:
if 'amazon' in merchants:
amazon_url = amazon_base1 + item.replace(" ", "+") + amazon_base2
process_amazon(amazon_url, item)
if 'aliexpress' in merchants:
aliexpress_url = aliexpress_base1 + item.replace(" ", "+") + aliexpress_base2
process_aliexpress(aliexpress_url, item)
if 'dhgate' in merchants:
dhgate_url = dhgate_base1 + item.replace(" ", "+") + dhgate_base2
process_dhgate(dhgate_url, item)
def process_amazon(entance_url, item):
current_url = entance_url
count = 0
wb = xlwt.Workbook(encoding="utf-8")
ws = wb.add_sheet("sheet1")
ws.write(0,0,"name")
ws.write(0,1,"price")
ws.write(0,2,"product_url")
ws.write(0,3,"img_url")
ws.write(0,4,"reviews")
while True:
content = fetch_page_content(current_url)
doc = PyQuery(content)
nodeList = doc("div#atfResults > ul#s-results-list-atf > li") #前六个
nodeList_other = doc('div#btfResults > ul > li')
nodeList.extend(nodeList_other)
for node in nodeList:
nodeQ = PyQuery(node)
name = nodeQ('h2').parent('a').attr('title')
product_url = nodeQ('h2').parent('a').attr('href')
img_url = nodeQ('img.s-access-image').attr('src')
price = nodeQ('span.s-price').text()
reviews = nodeQ('div[class="a-row a-spacing-mini"] > a[class="a-size-small a-link-normal a-text-normal"]').remove('span').text()
if not reviews:
reviews = nodeQ('div[class="a-row a-spacing-top-mini a-spacing-none"] > a[class="a-size-small a-link-normal a-text-normal"]').remove('span').text()
reviews = re.sub("See.*",'', reviews).strip()
count += 1
ws.write(count,0,name)
ws.write(count,1,price)
ws.write(count,2,product_url)
ws.write(count,3,img_url)
ws.write(count,4,reviews)
current_url = parseNextPage(doc, current_url)
if count >= 100:
break
wb.save("./output/amazon-" + item + ".xls")
def process_aliexpress(entance_url, item):
current_url = entance_url
count = 0
wb = xlwt.Workbook(encoding="utf-8")
ws = wb.add_sheet("sheet1")
ws.write(0,0,"name")
ws.write(0,1,"price")
ws.write(0,2,"product_url")
ws.write(0,3,"img_url")
ws.write(0,4,"reviews")
ws.write(0,5,"sold")
while True:
content = fetch_page_content(current_url)
doc = PyQuery(content)
#失败: http://www.aliexpress.com/wholesale?SearchText=wall+clock&shipCountry=us&SortType=total_tranpro_desc
nodeList = doc("li.list-item") #只能获取3个
doc_part = PyQuery(doc('script#lazy-render').text())
otherNodeList = doc_part("li.list-item")
nodeList.extend(otherNodeList)
for node in nodeList:
nodeQ = PyQuery(node)
name = nodeQ('div.detail > h3 > a').eq(0).attr('title')
product_url = nodeQ('div.detail> h3 > a').eq(0).attr('href')
img_url = nodeQ('div.img > a > img.picCore').attr('src')
price = nodeQ('span.price').text()
reviews = extractNum(nodeQ('div.rate-history > a[class="rate-num "]').text())
orders = extractNum(nodeQ('a[class="order-num-a "] > em').text())
count += 1
ws.write(count,0,name)
ws.write(count,1,price)
ws.write(count,2,product_url)
ws.write(count,3,img_url)
ws.write(count,4,reviews)
ws.write(count,5,orders)
current_url = parseAliexpressNextPageUrl(doc, current_url)
if count >= 100:
break
wb.save("./output/aliexpress-" + item + ".xls")
def process_dhgate(entance_url, item):
current_url = entance_url
count = 0
wb = xlwt.Workbook(encoding="utf-8")
ws = wb.add_sheet("sheet1")
ws.write(0,0,"name")
ws.write(0,1,"price")
ws.write(0,2,"product_url")
ws.write(0,3,"img_url")
ws.write(0,4,"reviews")
ws.write(0,5,"sold")
while True:
if not current_url:
break
content = fetch_page_content(current_url)
doc = PyQuery(content)
nodeList = doc("div.listitem")
for node in nodeList:
nodeQ = PyQuery(node)
name = nodeQ('h3.pro-title > a').text()
product_url = nodeQ('h3.pro-title > a').attr('href')
img_url = nodeQ('div.photo > a.pic > img').attr('src')
price = nodeQ('ul.pricewrap > li.price').text()
reviews = extractNum(nodeQ('span.reviewnum').text())
spanList = nodeQ('span')
orders = None
for span in spanList:
spanQ = PyQuery(span)
if spanQ.text().startswith("Sold"):
orders = extractNum(spanQ.text())
count += 1
ws.write(count,0,name)
ws.write(count,1,price)
ws.write(count,2,product_url)
ws.write(count,3,img_url)
ws.write(count,4,reviews)
ws.write(count,5,orders)
current_url = parseDhgateNextPageUrl(doc, current_url)
if count >= 100:
break
wb.save("./output/dhgate-" + item + ".xls")
def parseNextPage(doc, url):
return "http://www.amazon.com" + doc('a#pagnNextLink').attr('href')
def parseAliexpressNextPageUrl(doc, url):
return doc('a.page-next').attr('href')
def parseDhgateNextPageUrl(doc, url):
return doc('a.next').attr('href')
def fetch_page_content(url):
h = httplib2.Http()
response, content = h.request(url)
if response.status == 200:
return content
if __name__ == '__main__':
#merchants = ['amazon', 'aliexpress', 'dhgate']
merchants = ['dhgate']
get_keys(u'Homer Dector CT关键词.xlsx') #必须加u
iterator(merchants)
| [
"chenweiqiang@lightinthebox.com"
] | chenweiqiang@lightinthebox.com |
c3d983f043466d2017b451a515eb6e63f8395cdf | 0e1fbfa23989dd5679d272b12c1e3d2080f2feb2 | /mmcv/utils/ext_loader.py | 2a3c223838126e146160612724bf73f0b60f0d20 | [
"Apache-2.0"
] | permissive | LuGuo1920/mmcv | dae1003f63ce23d5cfc58b27c0c620a61cc5323e | 76d9bf1efb052785fea95cb157288a102976a49e | refs/heads/master | 2023-05-30T08:11:36.148373 | 2021-06-28T09:31:36 | 2021-06-28T09:31:36 | 381,047,895 | 1 | 0 | Apache-2.0 | 2021-06-28T13:49:28 | 2021-06-28T13:49:27 | null | UTF-8 | Python | false | false | 1,924 | py | import importlib
import os
import pkgutil
import warnings
from collections import namedtuple
import torch
if torch.__version__ != 'parrots':
def load_ext(name, funcs):
ext = importlib.import_module('mmcv.' + name)
for fun in funcs:
assert hasattr(ext, fun), f'{fun} miss in module {name}'
return ext
else:
from parrots import extension
from parrots.base import ParrotsException
has_return_value_ops = [
'nms',
'softnms',
'nms_match',
'nms_rotated',
'top_pool_forward',
'top_pool_backward',
'bottom_pool_forward',
'bottom_pool_backward',
'left_pool_forward',
'left_pool_backward',
'right_pool_forward',
'right_pool_backward',
'fused_bias_leakyrelu',
'upfirdn2d',
'ms_deform_attn_forward',
]
def get_fake_func(name, e):
def fake_func(*args, **kwargs):
warnings.warn(f'{name} is not supported in parrots now')
raise e
return fake_func
def load_ext(name, funcs):
ExtModule = namedtuple('ExtModule', funcs)
ext_list = []
lib_root = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
for fun in funcs:
try:
ext_fun = extension.load(fun, name, lib_dir=lib_root)
except ParrotsException as e:
if 'No element registered' not in e.message:
warnings.warn(e.message)
ext_fun = get_fake_func(fun, e)
ext_list.append(ext_fun)
else:
if fun in has_return_value_ops:
ext_list.append(ext_fun.op)
else:
ext_list.append(ext_fun.op_)
return ExtModule(*ext_list)
def check_ops_exist():
ext_loader = pkgutil.find_loader('mmcv._ext')
return ext_loader is not None
| [
"noreply@github.com"
] | LuGuo1920.noreply@github.com |
1c54275b907380b5fa2c52e4721bd84443bb77a7 | 1b5c808e51cd6cd945748a14d735f72841871575 | /scripts/ksap_exploit.py | 51970dcc196f50fa2f50a60edb51fb230c1a7426 | [] | no_license | zlmone/SecSysEngCtfSS14 | 1ba0c4f9f121b5a694dfd718506378358ab9148e | e22721a8a75de18f7d112449f2151ee144f64893 | refs/heads/master | 2021-05-27T19:37:07.221611 | 2014-06-04T13:38:42 | 2014-06-04T13:38:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 796 | py | #!/usr/bin/env python
import sys
import math
import base64
import codecs
import socket
import sys
import Crypto
import hashlib
from Crypto.Cipher import DES3
from Crypto import Random
from Crypto.Util import Counter
from Crypto.Hash import *
from os.path import expanduser
from os import listdir
import subprocess
from os.path import isfile, join
import os
if __name__ == '__main__':
onlyfiles = [ f for f in listdir("out") if isfile(join("out",f)) ]
for fp in onlyfiles:
path = "out/"+fp
f = open(path, "r")
contentEncoded = f.read()
content = base64.b64decode(contentEncoded)
lines = content.split('\n')
for line in lines:
if "active" in line:
flag = line[5:38]
os.system("/home/user/Data/TU/secsyseng1/CTF/scripts/submit_flag.py "+flag)
f.close()
| [
"zoltan.krekus@opengroupware.ch"
] | zoltan.krekus@opengroupware.ch |
9b1c89433e328bf11272cbd13947ef07e5c11770 | 7075436a4f848f04c41fff05348318e2791086b6 | /us-power-dash-app/pages/index.py | 77bb1d2a8f43e00e10bb6e79746ba8320624fe16 | [] | no_license | Tclack88/Renewable-Energy | 9b197458134725396cc87c9af3f47109494a36e9 | 3d9913833a98a365b90b2219883e1ad96ec37527 | refs/heads/master | 2023-05-25T22:17:33.102988 | 2022-07-05T13:44:59 | 2022-07-05T13:44:59 | 215,392,260 | 2 | 1 | null | 2023-05-01T23:18:47 | 2019-10-15T20:38:28 | Jupyter Notebook | UTF-8 | Python | false | false | 2,147 | py | import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.express as px
import pandas as pd
import numpy as np
from app import app
"""
https://dash-bootstrap-components.opensource.faculty.ai/l/components/layout
Layout in Bootstrap is controlled using the grid system. The Bootstrap grid has
twelve columns.
There are three main layout components in dash-bootstrap-components: Container,
Row, and Col.
The layout of your app should be built as a series of rows of columns.
We set md=4 indicating that on a 'medium' sized or larger screen each column
should take up a third of the width. Since we don't specify behaviour on
smaller size screens Bootstrap will allow the rows to wrap so as not to squash
the content.
"""
column1 = dbc.Col(
[
dcc.Markdown(
"""
## If a new power plant were to open in the US, could we predict its power output?
With this app, you can see all current U.S. power plants as well as predict a new one based on a location and type of plant of choosing.
"""
),
dcc.Link(dbc.Button('Try It Out!', color='primary'), href='/predictions')
],
md=4,
)
energy_codes = pd.read_csv('assets/energy_codes.csv')
data = pd.read_csv('assets/power_plants_human_readable.csv')
# map fuel colors to intuitive colors
color_map = dict(zip(energy_codes['Energy Source Description'],energy_codes.color))
# hover data
hover_name = 'plant_type'
hover_data = ['prime_mover','total_power']
title='The current U.S. power layout. Zoom around, find your local power plants!'
fig = px.scatter_mapbox(data_frame = data, lat = 'lat', lon = 'lon', size = 'total_power', color = 'energy_source',color_discrete_map = color_map,zoom=3.2,hover_data=hover_data,hover_name = hover_name,size_max = 25)
fig.update_layout(mapbox_style = "stamen-watercolor",showlegend=False,title=title, width = 1000, height = 600)
column2 = dbc.Col(
[
dcc.Graph(figure=fig),
],md=8
)
layout = dbc.Row([column1, column2])
| [
"tclack@aol.com"
] | tclack@aol.com |
2c3636239c359b654bce6774dea039342f4615c1 | 0b2d21d87615e648068bc4eceee17575dd1bbf1c | /weigthed_k_nearest_neighbors.py | 122d236ccd0b89a47a15e28b2364174356c736e4 | [] | no_license | ronigatt/ML-HW1 | bac021854176f881af31492111a2bc4cc8999152 | 54e5b3cc1a2ce52cdfbce5a91fbd90b25d63a47f | refs/heads/master | 2023-01-19T14:56:17.984664 | 2020-11-21T16:37:06 | 2020-11-21T16:37:06 | 306,458,685 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,747 | py | from typing import Tuple
import numpy as np
class WeightedKNearestNeighbors:
"""
Simple implementation of a k-NN estimator.
"""
def __init__(self, n_neighbors: int = 1) -> None:
self.k = n_neighbors
self.X_train = None
self.y_train = None
def fit(self, X_train: np.ndarray, y_train: np.ndarray) -> None:
"""
Set the train dataset attributes to be used for prediction.
"""
self.X_train = X_train
self.y_train = y_train
def get_neighbor_classes(self, observation: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
"""
Returns an array of the classes of the *k* nearest neighbors.
"""
distances = np.sqrt(np.sum((self.X_train - observation)**2, axis=1))
# Create an array of training set indices ordered by their
# distance from the current observation
indices = np.argsort(distances, axis=0)
selected_indices = indices[:self.k]
return self.y_train[selected_indices], distances[selected_indices]
def estimate_class(self, observation: np.ndarray) -> int:
"""
Estimates to which class a given row (*observation*) belongs.
"""
neighbor_classes, distances = self.get_neighbor_classes(observation)
weights = 1 / np.square(distances)
classes = np.unique(neighbor_classes)
class_weight = [sum(weights[neighbor_classes == neighbor_class]) for neighbor_class in classes]
return classes[np.argmax(class_weight)]
# Replace with `mode()`
def predict(self, X: np.ndarray):
"""
Apply k-NN estimation for each row in a given dataset.
"""
return np.apply_along_axis(self.estimate_class, 1, X)
| [
"ronigattegno@mail.tau.ac.il"
] | ronigattegno@mail.tau.ac.il |
15a2af635847f045d978ea39e5bd6d3943831c81 | 9c3b41c6855909318b12b5c0c7e4b914771bd811 | /backend/DIP/test.py | 4adb2eed2c3bcb4dd0cf3934c6dd6ed567ab40b8 | [] | no_license | LeeJAJA/DIP_Final_Project | 85072972a488c5ec8a9df7ffc5a2e252ddb5b922 | 291d76bdf426394b95c6f3321f42064cc5dda062 | refs/heads/main | 2023-02-21T17:01:27.251721 | 2021-01-24T18:21:46 | 2021-01-24T18:21:46 | 325,323,851 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,394 | py | import sys
import os
import warnings
from model import COVNet_CSR
from utils import load_net
import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from torchvision import datasets, transforms
from sklearn.metrics import roc_auc_score
from sklearn.metrics import classification_report
import numpy as np
import argparse
import json
import cv2
import dataset
import time
import configparser
target_names=["Non-infected","Cap","Covid-19"]
parser = argparse.ArgumentParser(description='PyTorch DIP2020')
parser.add_argument('--model', '-m', metavar='MODEL', default=None, type=str,
help='path to the model')
parser.add_argument('--batch_size', '-bs', metavar='BATCHSIZE' ,type=int,
help='batch size', default=16)
parser.add_argument('--gpu',metavar='GPU', type=str,
help='GPU id to use.', default="0")
parser.add_argument('--count', '-c', metavar='IMG_COUNT', type=int,
help='Count of imgs.', default=25)
def create_dir_not_exist(path):
for length in range(1, len(path.split(os.path.sep))):
check_path = os.path.sep.join(path.split(os.path.sep)[:(length+1)])
if not os.path.exists(check_path):
os.mkdir(check_path)
print(f'Created Dir: {check_path}')
def checkSuffix(file_list):
img_suffixs=['png']
for file in file_list:
if not (file.split('.')[-1] in img_suffixs):
file_list.remove(file)
return file_list
def main():
global args
conf= configparser.ConfigParser()
args = parser.parse_args()
TEST_DIR = './test_dir'
test_list = [TEST_DIR]
# test_list=checkSuffix(test_list)
os.environ['CUDA_VISIBLE_DEVICES'] = args.gpu
if not args.model:
print("Usage: --model -m\n\tpath to the model")
sys.exit()
model = COVNet_CSR(3)
criterion = nn.CrossEntropyLoss().cuda()
model = DataParallel_withLoss(model, criterion)
trained_net = torch.load(args.model)
model.load_state_dict(trained_net['state_dict'])
model = model.cuda()
vote_pred = np.zeros(len(test_list))
vote_score = np.zeros(len(test_list))
targetlist, scorelist, predlist = test(test_list,model,criterion)
print(targetlist[0],'--',target_names[int(predlist[0])])
def test(test_list, model, criterion):
print ('begin test')
test_loader = torch.utils.data.DataLoader(dataset.listDataset(test_list,train=False,count=args.count),
batch_size=args.batch_size, shuffle = False)
model.eval()
correct = 0
predlist=[]
scorelist=[]
targetlist=[]
with torch.no_grad():
for i,(img, target) in enumerate(test_loader):
target = target[0]
img = img.cuda()
img = img.type(torch.FloatTensor)
output = model(target, img)
score = F.softmax(output, dim=1)
pred = output.argmax(dim=1, keepdim=True)
# print(target, int(pred))
pred=pred.squeeze(1)
predlist=np.append(predlist, pred.cpu().numpy())
scorelist=np.append(scorelist, score.cpu().numpy()[:,1])
targetlist=np.append(targetlist,target)
# print("{} ---- {}".format(i,len(test_loader)))
print ('test done')
return targetlist, scorelist, predlist
class FullModel(nn.Module):
def __init__(self, model, loss):
super(FullModel, self).__init__()
self.model = model
self.loss = loss
def forward(self, targets, *inputs):
outputs = self.model(*inputs)
# loss = self.loss(outputs, torch.topk(targets.long(), 1)[1].squeeze(1))
return outputs
def DataParallel_withLoss(model,loss,**kwargs):
model=FullModel(model, loss)
if 'device_ids' in kwargs.keys():
device_ids=kwargs['device_ids']
else:
device_ids=None
if 'output_device' in kwargs.keys():
output_device=kwargs['output_device']
else:
output_device=None
if 'cuda' in kwargs.keys():
cudaID=kwargs['cuda']
model=torch.nn.DataParallel(model, device_ids=device_ids, output_device=output_device).cuda(cudaID)
else:
model=torch.nn.DataParallel(model, device_ids=device_ids, output_device=output_device).cuda()
return model
if __name__ == '__main__':
main()
| [
"v-jiajieli@microsoft.com"
] | v-jiajieli@microsoft.com |
558f806ef3cf4da4ecd19def816a9ecbee9c5b2d | a0f55e31c92c31832fbe074038f07b8f8726425b | /Python/Python编程实践gwpy2-code/code/modules/temperature.py | 3b2efc93b6953585f76955309183412c19d238db | [
"MIT"
] | permissive | jjc521/E-book-Collection | 7533717250395a8b81163564eef821e66bae5202 | b18bf6630bf99b7bf19b4cc4450b67887f618d31 | refs/heads/master | 2023-03-15T23:48:49.018347 | 2019-08-30T07:26:01 | 2019-08-30T07:26:01 | 206,090,622 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 507 | py | def convert_to_celsius(fahrenheit):
""" (number) -> float
Return the number of Celsius degrees equivalent to fahrenheit degrees.
>>> convert_to_celsius(75)
23.88888888888889
"""
return (fahrenheit - 32.0) * 5.0 / 9.0
def above_freezing(celsius):
""" (number) -> bool
Return True iff temperature celsius degrees is above freezing.
>>> above_freezing(5.2)
True
>>> above_freezing(-2)
False
"""
return celsius > 0
| [
"907097904@qq.com"
] | 907097904@qq.com |
c546794f818cd7dad078231721e1a58b6fd382fa | 607278f02cfbd1104b06385f064d85670b6d8794 | /t1.py | 91bfd8f44b69bcca999428a6a4d3571cb207a619 | [] | no_license | Dvk2002/Algo | 445baaa03409ce7e16ddddbd8d0c0ada41f564bf | 4444c8603424617565d9e9fe90eec238f01b93d8 | refs/heads/master | 2020-12-07T02:03:06.827289 | 2020-07-01T13:48:30 | 2020-07-01T13:48:30 | 232,608,626 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 367 | py | #1. Выполнить логические побитовые операции «И», «ИЛИ» и др. над числами 5 и 6.
# Выполнить над числом 5 побитовый сдвиг вправо и влево на два знака.
a = 5
b = 6
print(bin(a))
print(a & b)
print(a | b)
print(a ^ b)
print(a << 2)
print(a >> 2)
| [
"noreply@github.com"
] | Dvk2002.noreply@github.com |
b3f013300f5bacd1ee5510b6238b8cec1feacf9d | b810066cbbd9fa3d76839df58cb232f7c06a2adf | /graph/kcores.py | f9024cac72b11d9923d22cafbbb01540299cdcb7 | [] | no_license | VaishnaviDhulipalla2902/Data-Structures-and-Algorithms | 2cb8a00047fc3636c492799324595f982fbe12d1 | 52a6d65ffef3c3cbfc90a05d90a3c5493c1dc2c8 | refs/heads/master | 2020-04-08T16:53:11.003330 | 2018-11-28T17:36:17 | 2018-11-28T17:36:17 | 159,540,148 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,346 | py | # program to find K-Cores of a graph
from collections import defaultdict
# This class represents a undirected graph using adjacency
# list representation
class Graph:
def __init__(self,vertices):
self.V= vertices #No. of vertices
# default dictionary to store graph
self.graph= defaultdict(list)
# function to add an edge to undirected graph
def addEdge(self,u,v):
self.graph[u].append(v)
self.graph[v].append(u)
# A recursive function to call DFS starting from v.
# It returns true if vDegree of v after processing is less
# than k else false
# It also updates vDegree of adjacent if vDegree of v
# is less than k. And if vDegree of a processed adjacent
# becomes less than k, then it reduces of vDegree of v also,
def DFSUtil(self,v,visited,vDegree,k):
# Mark the current node as visited
visited[v] = True
# Recur for all the vertices adjacent to this vertex
for i in self.graph[v]:
# vDegree of v is less than k, then vDegree of
# adjacent must be reduced
if vDegree[v] < k:
vDegree[i] = vDegree[i] - 1
# If adjacent is not processed, process it
if visited[i]==False:
# If vDegree of adjacent after processing becomes
# less than k, then reduce vDegree of v also
if (self.DFSUtil(i,visited,vDegree,k)):
vDegree[v]-=1
# Return true if vDegree of v is less than k
return vDegree[v] < k
# Prints k cores of an undirected graph
def printKCores(self,k):
# INITIALIZATION
# Mark all the vertices as not visited
visited = [False]*self.V
# Store vDegrees of all vertices
vDegree = [0]*self.V
for i in self.graph:
vDegree[i]=len(self.graph[i])
# choose any vertex as starting vertex
self.DFSUtil(0,visited,vDegree,k)
# DFS traversal to update vDegrees of all
# vertices,in case they are unconnected
for i in range(self.V):
if visited[i] ==False:
self.DFSUtil(i,k,vDegree,visited)
# PRINTING K CORES
print "\n K-cores: "
for v in range(self.V):
# Only considering those vertices which have
# vDegree >= K after DFS
if vDegree[v] >= k:
print str("\n [ ") + str(v) + str(" ]"),
# Traverse adjacency list of v and print only
# those adjacent which have vvDegree >= k
# after DFS
for i in self.graph[v]:
if vDegree[i] >= k:
print "-> " + str(i),
k = 3;
g1 = Graph (9);
g1.addEdge(0, 1)
g1.addEdge(0, 2)
g1.addEdge(1, 2)
g1.addEdge(1, 5)
g1.addEdge(2, 3)
g1.addEdge(2, 4)
g1.addEdge(2, 5)
g1.addEdge(2, 6)
g1.addEdge(3, 4)
g1.addEdge(3, 6)
g1.addEdge(3, 7)
g1.addEdge(4, 6)
g1.addEdge(4, 7)
g1.addEdge(5, 6)
g1.addEdge(5, 8)
g1.addEdge(6, 7)
g1.addEdge(6, 8)
g1.printKCores(k)
g2 = Graph(13);
g2.addEdge(0, 1)
g2.addEdge(0, 2)
g2.addEdge(0, 3)
g2.addEdge(1, 4)
g2.addEdge(1, 5)
g2.addEdge(1, 6)
g2.addEdge(2, 7)
g2.addEdge(2, 8)
g2.addEdge(2, 9)
g2.addEdge(3, 10)
g2.addEdge(3, 11)
g2.addEdge(3, 12)
g2.printKCores(k) | [
"noreply@github.com"
] | VaishnaviDhulipalla2902.noreply@github.com |
740d5a837b4cf6ccf1dce748d6dbf6261231c33f | 4cf340a94809ce51b8cd29896c27cb1b34d746e3 | /venvv/Scripts/pip3-script.py | 05100c20d341092af86a93edd6cfb76e66019b82 | [] | no_license | cuongpianna/automation_test | ca9798ef2a3ef65f58dd5597240c5e094ca6213c | 570ddaa1d8be65f69bd987a189622a674f37c37a | refs/heads/master | 2020-04-08T19:22:55.486396 | 2018-11-30T10:28:24 | 2018-11-30T10:28:24 | 159,652,814 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 422 | py | #!C:\Users\admin\Desktop\lam\autotest\letskodeit\venvv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip3'
__requires__ = 'pip==10.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('pip==10.0.1', 'console_scripts', 'pip3')()
)
| [
"cuongpianna1996@gmail.com"
] | cuongpianna1996@gmail.com |
5625dc31686635f15a536d27320a06ce760647d8 | 2146cd1c3c00d9cb4f09c7b2a606cbf321cf1ede | /Temporizador_LCD/main.py | b42040b858d719954b6eff3c6105f1b4fb768a00 | [] | no_license | marioferreyra/Proyectos_PyQt4 | 269aca2b12687424c6f046b6546aa8e5fb20a9bb | e79759462de1e170b785306118315284002c5ddc | refs/heads/master | 2020-06-13T19:59:40.027452 | 2019-07-02T02:27:00 | 2019-07-02T02:27:00 | 194,772,943 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,206 | py | # -*- coding: utf-8 -*-
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from PyQt4 import uic
ONE_SECOND = 1000 # 1000 ms = 1 s
class Temporizador(QWidget):
"""
Ventana de un temporizador, con opciones para setear el tiempo, iniciar,
pausar y resetear.
"""
def __init__(self):
QWidget.__init__(self)
uic.loadUi("temporizador.ui", self)
self.timer = QTimer()
self.tick = 0 # Segundos transcurridos
# Tiempo que se setea
self.hours = 0
self.minutes = 0
self.seconds = 0
# Estado inicial de los botones
self.btnStart.setEnabled(False)
self.btnReset.setEnabled(False)
# Conexiones
self.timer.timeout.connect(self.updateLCD)
self.btnExit.clicked.connect(self.close)
self.btnSet.clicked.connect(self.setTime)
self.btnStart.clicked.connect(self.start)
self.btnReset.clicked.connect(self.reset)
self.lcd.display("00:00:00")
def start(self):
"""
Inicia el Temporizador.
"""
if not self.isTimerActive():
self.btnSet.setEnabled(False)
self.btnReset.setEnabled(False)
self.timer.start(ONE_SECOND)
self.btnStart.setText("Stop")
else:
self.btnSet.setEnabled(True)
self.btnReset.setEnabled(True)
self.timer.stop()
self.btnStart.setText("Start")
def reset(self):
"""
Resetea el Temporizador.
"""
self.btnStart.setEnabled(True)
self.btnStart.setText("Start")
self.timer.stop()
self.tick = self.hours*3600 + self.minutes*60 + self.seconds
self.lcd.display("%02d:%02d:%02d" % (self.hours, self.minutes, self.seconds))
def updateLCD(self):
"""
Actualiza el tiempo del LCD.
Cuando llega a 00:00:00, se muestra un aviso.
"""
if self.tick != 0:
self.tick -= 1
hour = self.tick / 3600
minute = (self.tick % 3600) / 60
second = (self.tick % 3600) % 60
self.lcd.display("%02d:%02d:%02d" % (hour, minute, second))
else:
self.timer.stop()
self.btnSet.setEnabled(True)
self.btnStart.setEnabled(False)
self.btnReset.setEnabled(True)
self.btnStart.setText("Start")
QMessageBox.warning(self,"Aviso","### ALARM ###")
def setTime(self):
"""
Setea el Tiempo establecido en el LCD.
"""
self.btnStart.setEnabled(True)
self.btnReset.setEnabled(True)
t = self.time.time()
self.hours = t.hour()
self.minutes = t.minute()
self.seconds = t.second()
self.tick = self.hours*3600 + self.minutes*60 + self.seconds
self.lcd.display(t.toString())
def isTimerActive(self):
"""
Retorna True si el temporizador (timer) esta activo.
"""
return self.timer.isActive()
if __name__ == "__main__":
import sys
app = QApplication(sys.argv)
myapp = Temporizador()
myapp.show()
sys.exit(app.exec_())
| [
"ferreyramario7@gmail.com"
] | ferreyramario7@gmail.com |
06c51227a9261b7a9b1f911e5ff2ebd76daea836 | f7d0c32b8d29dcff788d439c2b7051734afbbfc6 | /meiduo1/apps/user1/crons.py | c3a3f835bb36096554b8b4821ab26a9b54fa8c6b | [
"MIT"
] | permissive | woobrain/nginx-uwsgi-web | dcf5159ba3f3332108c2d351ef3dac0cc504ade7 | 5b3ca1fba8205c2c0a2b91d951f812f1c30e12ae | refs/heads/master | 2022-12-22T21:08:00.758841 | 2019-11-13T12:31:20 | 2019-11-13T12:31:20 | 221,447,696 | 0 | 0 | MIT | 2022-12-11T19:51:54 | 2019-11-13T11:52:19 | JavaScript | UTF-8 | Python | false | false | 1,091 | py | import os
import time
from django.conf import settings
from django.template import loader
from apps.user1.models import ContentCategory
from apps.user1.utils import get_categories
def generate_static_index_html():
"""
生成静态的主页html文件
"""
print('%s: generate_static_index_html' % time.ctime())
# 获取商品频道和分类
categories = get_categories()
# 广告内容
contents = {}
content_categories = ContentCategory.objects.all()
for cat in content_categories:
contents[cat.key] = cat.content_set.filter(status=True).order_by('sequence')
# 渲染模板
context = {
'categories': categories,
'contents': contents
}
# 获取首页模板文件
template = loader.get_template('index.html')
# 渲染首页html字符串
html_text = template.render(context)
# 将首页html字符串写入到指定目录，命名'index.html'
file_path = os.path.join(settings.STATICFILES_DIRS[0], 'index.html')
with open(file_path, 'w', encoding='utf-8') as f:
f.write(html_text) | [
"xwp_fullstack@163.com"
] | xwp_fullstack@163.com |
d962fc5032ad40cdc67297acaa22af482ab70d52 | ba875d5f71e9d0339a00fc57a26ace159df41079 | /server2/urls.py | 5fa5390ef5988a449c220a7c349b3e28dd6b5961 | [] | no_license | Ruiyang-061X/ruiyang-website | b3f6dc33f45e3e5c22697f64067525888027c91d | 0037760438f1cc5ed836a25e1776c13d48a9396d | refs/heads/master | 2020-09-24T21:01:06.413638 | 2019-12-04T10:58:36 | 2019-12-04T10:58:36 | 225,843,077 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 825 | py | """server2 URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import include, path
urlpatterns = [
path('', include('ruiyang_website.urls')),
path('admin/', admin.site.urls),
] | [
"ruiyang@Ubuntu18.04"
] | ruiyang@Ubuntu18.04 |
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